Table 3. Overall Prevalence (%) of Disability and Health Indicators by 41 Occupations
				Acute Disability						Chronic Disability				Health Status
	Occupation 41 Classes	Group	Population Estimates	Estimated Prevalence of Restricted Days	Standard Error of Restricted Days	Estimated Prevalence of Bed Days	Standard Error of Bed Days	Estimated Prevalence of Lost Work Days	Standard Error of Lost Work Days	Estimated Prevalence of ≥ 4 Doctor Visits	Standard Error of Doctor Visits	Estimated Prevalence of ≥ 1 Hospitalizations	Standard Error of Hospitalizations	Estimated Prevalence of Self-Rated Health	Standard Error of Self-Rated Health	Estimated Prevalence of Chronic Conditions	Standard Error of Chronic Conditions
1	Officials and administrators public admin	1: Total	542,174	8.62	0.67	4.55	0.47	6.44	0.53	29.32	1.02	5.55	0.54	4.53	0.53	43.54	1.22
2	Officials and administrators public admin	2: Male	315,909	6.71	0.84	3.38	0.57	4.73	0.63	23.86	1.34	5.73	0.72	4.08	0.59	41.16	1.55
3	Officials and administrators public admin	3: Female	226,264	11.28	1.12	6.19	0.86	8.83	0.94	36.94	1.90	5.31	0.83	5.16	0.82	46.87	1.84
4	Officials and administrators public admin	4: White	472,920	8.82	0.74	4.77	0.55	6.32	0.55	29.64	1.15	5.88	0.60	4.55	0.54	43.43	1.38
5	Officials and administrators public admin	5: Black	49,487	7.57	1.75	3.47	1.10	7.57	1.75	28.26	3.58	3.35	1.04	3.95	1.20	42.36	3.61
6	Officials and administrators public admin	6: Other	19,766	6.59	3.55	2.09	1.59	6.59	3.55	24.31	5.36	3.19	1.81	5.49	3.14	49.23	4.86
7	Officials and administrators public admin	7: Hispanic	23,438	12.17	3.75	6.35	2.66	8.24	2.91	39.57	6.84	5.41	2.15	7.41	2.57	43.67	5.35
8	Officials and administrators public admin	8: NonHispanic	518,736	8.46	0.66	4.47	0.48	6.36	0.51	28.86	1.01	5.56	0.57	4.40	0.50	43.53	1.21
9	Managers administrators, except public administration	1: Total	11,337,987	7.47	0.15	4.20	0.11	4.75	0.11	22.11	0.27	4.85	0.12	4.04	0.11	38.57	0.33
10	Managers administrators, except public administration	2: Male	7,260,207	6.11	0.16	3.12	0.12	3.66	0.12	17.17	0.30	4.63	0.14	3.83	0.12	36.69	0.37
11	Managers administrators, except public administration	3: Female	4,077,780	9.88	0.24	6.11	0.19	6.69	0.19	30.90	0.46	5.25	0.19	4.42	0.18	41.91	0.47
12	Managers administrators, except public administration	4: White	10,358,556	7.52	0.16	4.18	0.12	4.72	0.12	22.46	0.28	4.92	0.12	3.89	0.11	39.35	0.33
13	Managers administrators, except public administration	5: Black	630,687	7.35	0.60	4.45	0.50	5.52	0.47	20.18	0.84	4.56	0.38	5.84	0.59	33.33	1.16
14	Managers administrators, except public administration	6: Other	348,745	6.14	0.60	4.13	0.56	4.17	0.52	15.01	0.96	3.44	0.56	5.28	0.55	24.90	1.33
15	Managers administrators, except public administration	7: Hispanic	537,742	7.55	0.66	4.34	0.52	5.30	0.51	18.04	0.86	4.02	0.45	5.64	0.55	31.31	1.12
16	Managers administrators, except public administration	8: NonHispanic	10,800,245	7.46	0.15	4.19	0.11	4.73	0.11	22.31	0.27	4.89	0.12	3.96	0.10	38.93	0.35
17	Management related occs	1: Total	3,975,190	8.75	0.25	4.89	0.20	6.14	0.21	26.12	0.39	4.82	0.17	3.51	0.15	39.46	0.49
18	Management related occs	2: Male	1,909,843	6.90	0.28	3.57	0.22	4.62	0.23	19.44	0.52	4.72	0.26	3.29	0.22	37.66	0.61
19	Management related occs	3: Female	2,065,347	10.47	0.42	6.12	0.31	7.54	0.34	32.29	0.56	4.92	0.23	3.72	0.22	41.13	0.66
20	Management related occs	4: White	3,508,911	8.85	0.26	4.93	0.20	6.16	0.23	26.38	0.42	4.84	0.18	3.29	0.15	40.40	0.50
21	Management related occs	5: Black	302,468	8.41	0.82	4.86	0.67	6.43	0.78	25.99	1.16	5.70	0.71	5.41	0.70	33.52	1.57
22	Management related occs	6: Other	163,811	7.33	1.11	4.20	0.83	4.96	0.84	20.94	1.18	2.82	0.75	4.81	1.00	30.29	1.80
23	Management related occs	7: Hispanic	208,368	9.52	1.01	6.15	0.82	7.79	0.94	23.11	1.31	5.35	0.75	4.13	0.74	36.72	1.91
24	Management related occs	8: NonHispanic	3,766,822	8.71	0.25	4.82	0.20	6.04	0.21	26.29	0.40	4.79	0.18	3.48	0.15	39.61	0.49
25	Engineers	1: Total	2,009,300	6.84	0.29	3.33	0.21	4.22	0.22	19.15	0.43	3.77	0.22	2.50	0.16	35.87	0.63
26	Engineers	2: Male	1,848,533	6.47	0.27	3.12	0.20	4.02	0.22	17.69	0.42	3.66	0.21	2.51	0.17	35.32	0.67
27	Engineers	3: Female	160,767	11.12	1.25	5.76	0.95	6.48	0.97	35.87	1.88	5.05	0.97	2.40	0.52	42.16	1.91
28	Engineers	4: White	1,780,112	6.96	0.31	3.30	0.23	4.24	0.23	19.36	0.44	3.84	0.24	2.19	0.16	37.15	0.64
29	Engineers	5: Black	85,626	7.42	1.76	5.41	1.36	5.64	1.55	21.05	2.72	2.85	0.84	6.42	1.34	27.74	2.93
30	Engineers	6: Other	143,563	5.05	1.13	2.45	0.64	3.06	0.77	15.41	1.71	3.46	0.69	4.01	0.85	24.83	1.97
31	Engineers	7: Hispanic	72,090	5.63	1.25	2.72	0.97	3.69	1.09	20.33	2.51	4.89	1.34	3.71	1.09	33.14	2.80
32	Engineers	8: NonHispanic	1,937,210	6.89	0.30	3.35	0.21	4.24	0.22	19.10	0.44	3.73	0.23	2.46	0.17	35.97	0.65
33	Architects and surveyors	1: Total	201,731	8.78	0.97	5.45	0.78	5.26	0.71	17.48	1.45	3.07	0.61	3.06	0.59	37.79	1.92
34	Architects and surveyors	2: Male	177,084	7.80	1.05	5.17	0.78	4.70	0.76	14.77	1.50	2.83	0.64	3.10	0.62	36.48	1.93
35	Architects and surveyors	3: Female	24,647	15.80	4.00	7.50	3.10	9.31	2.88	36.94	5.06	4.75	2.08	2.79	2.01	47.18	4.99
36	Architects and surveyors	4: White	186,076	8.29	1.04	5.03	0.79	4.47	0.76	17.60	1.50	3.25	0.66	2.74	0.61	38.65	2.04
37	Architects and surveyors	5: Black	7,204	6.52	4.77	4.53	4.40	6.52	4.77	15.60	6.34	1.99	1.99	5.67	4.00	22.34	10.17
38	Architects and surveyors	6: Other	8,451	21.55	8.70	15.57	8.17	21.55	8.70	16.50	6.52	0.00	0.00	7.80	3.92	31.98	10.50
39	Architects and surveyors	7: Hispanic	13,983	4.66	2.23	3.21	2.09	3.20	1.97	24.41	5.11	0.00	0.00	5.05	2.48	30.41	6.26
40	Architects and surveyors	8: NonHispanic	187,748	9.09	1.03	5.62	0.83	5.42	0.76	16.98	1.50	3.29	0.65	2.91	0.60	38.34	2.02
41	Natural mathematical/computer scientists	1: Total	1,330,325	9.38	0.40	5.14	0.29	6.10	0.31	23.88	0.71	2.94	0.24	2.69	0.25	40.28	0.76
42	Natural mathematical/computer scientists	2: Male	907,823	8.12	0.46	4.04	0.36	5.15	0.37	18.99	0.77	3.16	0.31	2.40	0.29	39.49	0.86
43	Natural mathematical/computer scientists	3: Female	422,502	12.09	0.86	7.51	0.62	8.13	0.67	34.40	1.31	2.49	0.40	3.32	0.44	41.99	1.17
44	Natural mathematical/computer scientists	4: White	1,154,319	9.36	0.45	4.87	0.33	6.02	0.36	24.28	0.76	2.99	0.26	2.65	0.27	41.65	0.79
45	Natural mathematical/computer scientists	5: Black	84,541	11.06	1.80	8.02	1.53	7.87	1.48	24.73	2.28	2.72	0.93	3.51	0.87	35.21	3.34
46	Natural mathematical/computer scientists	6: Other	91,465	8.14	1.37	5.96	1.34	5.39	1.22	18.07	1.96	2.55	0.87	2.37	0.67	27.63	2.60
47	Natural mathematical/computer scientists	7: Hispanic	48,104	11.87	2.34	7.12	1.92	10.26	1.97	24.81	3.53	1.56	0.89	6.45	2.09	41.82	3.26
48	Natural mathematical/computer scientists	8: NonHispanic	1,282,221	9.29	0.39	5.07	0.29	5.94	0.31	23.85	0.73	3.00	0.25	2.55	0.25	40.22	0.76
49	Health diagnosing occs	1: Total	829,443	5.09	0.45	2.27	0.31	2.49	0.29	14.07	0.69	4.08	0.36	2.23	0.26	32.16	0.95
50	Health diagnosing occs	2: Male	668,142	4.28	0.40	1.79	0.28	2.01	0.26	11.70	0.69	4.13	0.38	1.97	0.28	30.64	0.95
51	Health diagnosing occs	3: Female	161,301	8.48	1.17	4.24	0.96	4.47	0.93	23.87	1.84	3.84	0.86	3.32	0.74	38.44	2.40
52	Health diagnosing occs	4: White	724,399	5.30	0.50	2.32	0.34	2.57	0.33	14.74	0.72	4.15	0.39	2.14	0.28	33.34	1.02
53	Health diagnosing occs	5: Black	31,964	6.44	2.13	2.84	1.49	2.93	1.54	11.08	3.72	1.44	0.96	1.82	0.94	27.23	3.50
54	Health diagnosing occs	6: Other	73,080	2.49	0.97	1.52	0.65	1.48	0.64	8.77	1.79	4.45	1.06	3.32	1.14	22.56	3.07
55	Health diagnosing occs	7: Hispanic	41,633	8.65	2.13	3.85	1.59	7.42	2.14	13.15	2.75	4.20	1.41	1.26	0.92	27.93	3.65
56	Health diagnosing occs	8: NonHispanic	787,809	4.90	0.46	2.18	0.31	2.23	0.29	14.12	0.75	4.07	0.37	2.28	0.26	32.38	0.96
57	Health assessment/treating occs	1: Total	2,482,299	10.44	0.29	5.79	0.24	7.41	0.26	28.33	0.50	5.74	0.21	3.42	0.19	41.41	0.58
58	Health assessment/treating occs	2: Male	316,435	9.65	0.80	4.87	0.58	6.55	0.67	14.45	1.06	5.29	0.63	3.20	0.59	35.71	1.46
59	Health assessment/treating occs	3: Female	2,165,864	10.56	0.31	5.92	0.25	7.54	0.28	30.36	0.54	5.80	0.24	3.45	0.21	42.25	0.61
60	Health assessment/treating occs	4: White	2,133,040	10.46	0.32	5.71	0.26	7.30	0.28	29.14	0.52	5.86	0.23	3.04	0.20	42.57	0.59
61	Health assessment/treating occs	5: Black	230,708	11.76	1.13	7.29	0.97	9.09	1.03	25.33	1.41	5.80	0.78	6.02	0.83	36.38	1.62
62	Health assessment/treating occs	6: Other	118,550	7.46	1.30	4.21	1.11	6.13	1.16	19.57	1.77	3.35	0.80	5.18	1.02	30.46	2.09
63	Health assessment/treating occs	7: Hispanic	86,259	9.75	1.98	4.29	1.47	7.59	1.83	26.27	2.57	3.69	0.91	3.01	1.04	38.30	2.48
64	Health assessment/treating occs	8: NonHispanic	2,396,040	10.46	0.30	5.84	0.24	7.41	0.27	28.41	0.50	5.81	0.22	3.43	0.19	41.52	0.60
65	Teachers, librarians, counselors	1: Total	5,231,152	9.40	0.20	5.29	0.16	5.82	0.15	29.86	0.38	4.54	0.15	3.32	0.15	42.73	0.46
66	Teachers, librarians, counselors	2: Male	1,642,027	7.35	0.33	3.64	0.25	4.36	0.25	21.71	0.57	4.28	0.28	3.10	0.24	39.93	0.73
67	Teachers, librarians, counselors	3: Female	3,589,125	10.34	0.26	6.05	0.20	6.49	0.20	33.59	0.44	4.67	0.17	3.42	0.17	44.01	0.52
68	Teachers, librarians, counselors	4: White	4,612,706	9.51	0.21	5.35	0.17	5.81	0.16	30.49	0.40	4.56	0.16	2.89	0.14	43.56	0.46
69	Teachers, librarians, counselors	5: Black	452,612	8.70	0.68	5.27	0.59	6.15	0.60	25.81	1.01	4.99	0.51	7.01	0.59	36.93	1.27
70	Teachers, librarians, counselors	6: Other	165,834	8.22	1.13	3.63	0.83	5.36	1.00	23.52	2.20	2.93	0.72	5.37	1.38	35.44	2.39
71	Teachers, librarians, counselors	7: Hispanic	217,139	10.05	1.14	5.37	0.81	6.56	1.04	30.96	1.67	4.83	0.80	6.31	0.77	40.89	1.95
72	Teachers, librarians, counselors	8: NonHispanic	5,014,013	9.37	0.20	5.29	0.17	5.79	0.16	29.81	0.38	4.53	0.15	3.19	0.15	42.81	0.47
73	Writers, artists, entertainers, athletes	1: Total	1,971,725	9.78	0.34	5.45	0.28	6.02	0.25	27.11	0.55	4.34	0.24	3.85	0.24	41.28	0.64
74	Writers, artists, entertainers, athletes	2: Male	1,025,232	8.54	0.53	4.68	0.41	4.80	0.39	19.33	0.75	4.18	0.34	3.73	0.34	37.82	0.82
75	Writers, artists, entertainers, athletes	3: Female	946,492	11.12	0.53	6.28	0.39	7.35	0.43	35.52	0.77	4.53	0.33	3.97	0.32	45.02	0.83
76	Writers, artists, entertainers, athletes	4: White	1,799,120	9.78	0.34	5.39	0.28	5.96	0.26	27.88	0.60	4.33	0.26	3.58	0.24	42.02	0.69
77	Writers, artists, entertainers, athletes	5: Black	103,027	11.53	1.88	5.73	1.45	7.87	1.55	20.37	2.08	5.83	1.11	6.17	1.28	35.39	2.97
78	Writers, artists, entertainers, athletes	6: Other	69,577	7.17	1.52	6.58	1.46	4.95	1.39	16.83	2.42	2.57	1.03	7.42	1.59	30.89	3.44
79	Writers, artists, entertainers, athletes	7: Hispanic	93,668	7.58	1.46	5.82	1.23	5.67	1.16	21.34	2.45	5.15	1.04	4.99	1.17	34.59	2.32
80	Writers, artists, entertainers, athletes	8: NonHispanic	1,878,056	9.89	0.35	5.43	0.28	6.04	0.26	27.39	0.57	4.31	0.26	3.79	0.24	41.61	0.65
81	Other professional specialty occs	1: Total	2,227,360	9.23	0.36	5.19	0.26	6.02	0.29	28.63	0.63	5.37	0.25	4.14	0.20	42.38	0.66
82	Other professional specialty occs	2: Male	1,332,391	7.23	0.47	3.74	0.31	4.25	0.33	22.75	0.81	5.23	0.30	3.66	0.29	39.39	0.86
83	Other professional specialty occs	3: Female	894,969	12.21	0.59	7.34	0.44	8.66	0.53	37.36	0.88	5.58	0.41	4.86	0.35	46.83	0.94
84	Other professional specialty occs	4: White	1,952,622	9.12	0.38	5.13	0.27	5.91	0.30	28.51	0.69	5.24	0.26	3.54	0.22	42.59	0.70
85	Other professional specialty occs	5: Black	225,915	10.32	1.20	6.03	0.82	7.43	1.08	29.98	1.56	6.36	0.87	8.16	0.85	41.16	1.73
86	Other professional specialty occs	6: Other	48,823	8.82	2.20	3.71	1.49	4.10	1.38	27.40	3.07	6.15	2.04	9.61	2.95	39.33	3.54
87	Other professional specialty occs	7: Hispanic	98,301	12.41	1.62	8.17	1.23	8.45	1.34	26.35	2.13	4.54	1.26	6.91	1.40	40.51	2.49
88	Other professional specialty occs	8: NonHispanic	2,129,060	9.09	0.38	5.05	0.26	5.91	0.30	28.74	0.63	5.41	0.25	4.01	0.20	42.46	0.67
89	Health technologists/technicians	1: Total	1,357,639	10.81	0.46	6.28	0.39	8.12	0.36	27.67	0.67	6.65	0.34	5.08	0.30	40.54	0.87
90	Health technologists/technicians	2: Male	247,624	8.64	1.01	4.07	0.72	6.80	0.88	14.08	1.29	5.27	0.79	4.24	0.65	34.71	1.68
91	Health technologists/technicians	3: Female	1,110,015	11.29	0.52	6.77	0.45	8.42	0.40	30.70	0.77	6.96	0.38	5.27	0.35	41.83	0.91
92	Health technologists/technicians	4: White	1,091,114	10.99	0.54	6.55	0.46	8.18	0.41	29.02	0.76	6.89	0.40	4.41	0.31	41.61	0.91
93	Health technologists/technicians	5: Black	198,689	9.95	1.03	5.67	0.83	7.99	0.89	21.88	1.42	6.76	0.93	9.05	1.13	36.75	2.07
94	Health technologists/technicians	6: Other	67,836	10.40	2.61	3.71	1.28	7.56	2.34	22.79	3.19	2.47	0.95	4.35	1.17	34.38	3.16
95	Health technologists/technicians	7: Hispanic	89,019	9.20	1.62	5.82	1.36	7.56	1.44	21.43	2.35	6.13	1.22	5.47	1.50	38.29	2.69
96	Health technologists/technicians	8: NonHispanic	1,268,620	10.92	0.48	6.31	0.41	8.16	0.37	28.10	0.70	6.69	0.36	5.05	0.31	40.69	0.89
97	Technologists, technicians except health	1: Total	2,658,590	9.03	0.31	5.00	0.22	6.08	0.25	21.87	0.46	4.04	0.21	3.20	0.18	37.81	0.57
98	Technologists, technicians except health	2: Male	1,830,242	8.00	0.38	4.17	0.26	5.34	0.32	16.64	0.54	3.69	0.24	3.02	0.21	35.76	0.65
99	Technologists, technicians except health	3: Female	828,348	11.29	0.53	6.85	0.46	7.72	0.44	33.44	0.91	4.81	0.37	3.61	0.35	42.34	0.99
100	Technologists, technicians except health	4: White	2,305,125	9.21	0.34	5.10	0.24	6.23	0.28	22.60	0.50	3.97	0.21	3.02	0.19	39.40	0.61
101	Technologists, technicians except health	5: Black	191,172	8.32	0.95	4.95	0.80	5.63	0.80	20.65	1.56	6.31	0.98	4.89	0.84	28.60	1.78
102	Technologists, technicians except health	6: Other	162,293	7.35	0.96	3.74	0.67	4.52	0.74	13.00	1.54	2.39	0.65	3.81	0.89	26.12	1.62
103	Technologists, technicians except health	7: Hispanic	146,493	7.00	1.26	4.75	0.97	5.25	1.00	19.42	1.61	5.11	1.06	2.84	0.58	32.54	2.23
104	Technologists, technicians except health	8: NonHispanic	2,512,097	9.15	0.32	5.02	0.22	6.13	0.26	22.02	0.50	3.98	0.21	3.22	0.19	38.12	0.62
105	Supervisors and proprietors	1: Total	3,596,023	6.85	0.22	4.03	0.19	4.40	0.18	19.33	0.37	4.71	0.19	4.66	0.20	35.77	0.47
106	Supervisors and proprietors	2: Male	2,315,820	5.88	0.25	3.45	0.21	3.56	0.20	15.13	0.45	4.54	0.22	4.40	0.23	33.84	0.58
107	Supervisors and proprietors	3: Female	1,280,203	8.61	0.42	5.08	0.35	5.92	0.34	26.94	0.58	5.02	0.33	5.12	0.34	39.26	0.77
108	Supervisors and proprietors	4: White	3,297,445	6.91	0.24	4.07	0.20	4.35	0.20	19.64	0.41	4.89	0.21	4.52	0.21	36.53	0.48
109	Supervisors and proprietors	5: Black	169,165	7.20	0.92	3.64	0.69	5.55	0.76	18.62	1.71	2.75	0.61	6.42	0.84	31.47	2.03
110	Supervisors and proprietors	6: Other	129,414	4.80	1.05	3.40	0.81	4.08	0.90	12.28	1.94	2.81	0.97	5.74	1.31	21.99	1.98
111	Supervisors and proprietors	7: Hispanic	197,592	7.11	0.77	4.10	0.63	4.31	0.57	13.54	1.31	3.89	0.79	4.71	0.78	28.91	1.92
112	Supervisors and proprietors	8: NonHispanic	3,398,432	6.84	0.23	4.02	0.20	4.40	0.20	19.67	0.38	4.76	0.20	4.65	0.21	36.17	0.49
113	Sales representatives, commodities and finance	1: Total	3,603,720	7.78	0.26	4.30	0.21	5.04	0.20	21.93	0.35	4.92	0.20	4.00	0.19	38.29	0.42
114	Sales representatives, commodities and finance	2: Male	2,395,527	6.70	0.30	3.50	0.23	4.33	0.24	18.17	0.44	4.81	0.26	3.82	0.22	37.10	0.52
115	Sales representatives, commodities and finance	3: Female	1,208,194	9.91	0.49	5.87	0.38	6.46	0.37	29.38	0.68	5.14	0.31	4.37	0.34	40.63	0.75
116	Sales representatives, commodities and finance	4: White	3,373,892	7.87	0.27	4.33	0.22	5.09	0.21	22.13	0.35	5.07	0.21	3.88	0.19	38.96	0.43
117	Sales representatives, commodities and finance	5: Black	145,970	7.69	1.14	5.06	0.89	6.01	1.04	17.50	1.54	3.59	0.79	5.60	0.99	29.70	2.06
118	Sales representatives, commodities and finance	6: Other	83,858	4.43	1.19	1.69	0.67	1.69	0.67	21.45	2.17	1.37	0.64	6.00	1.33	26.13	2.90
119	Sales representatives, commodities and finance	7: Hispanic	155,619	9.79	1.15	6.35	1.06	6.40	0.86	18.91	1.46	4.71	0.88	4.87	0.73	32.65	1.94
120	Sales representatives, commodities and finance	8: NonHispanic	3,448,101	7.69	0.26	4.20	0.21	4.98	0.20	22.06	0.35	4.93	0.21	3.96	0.19	38.54	0.43
121	Other sales	1: Total	5,892,896	8.91	0.22	5.14	0.16	6.21	0.18	22.56	0.33	5.01	0.16	6.52	0.17	36.46	0.37
122	Other sales	2: Male	2,016,522	7.17	0.31	3.78	0.22	4.79	0.25	15.02	0.41	5.07	0.28	5.45	0.30	33.25	0.55
123	Other sales	3: Female	3,876,373	9.82	0.27	5.85	0.22	6.95	0.25	26.48	0.43	4.98	0.20	7.08	0.21	38.14	0.47
124	Other sales	4: White	5,079,311	9.02	0.23	5.16	0.18	6.25	0.19	23.19	0.36	5.18	0.18	6.24	0.19	37.66	0.40
125	Other sales	5: Black	574,014	9.21	0.72	5.54	0.54	6.85	0.67	19.55	0.86	4.36	0.48	8.63	0.62	30.88	1.04
126	Other sales	6: Other	239,570	5.82	0.89	3.73	0.81	3.89	0.65	16.40	1.37	3.03	0.63	7.46	1.19	24.47	1.49
127	Other sales	7: Hispanic	453,580	9.27	0.80	5.40	0.62	6.44	0.66	20.55	1.04	4.18	0.43	8.40	0.70	27.85	1.19
128	Other sales	8: NonHispanic	5,439,315	8.88	0.22	5.12	0.16	6.19	0.18	22.72	0.34	5.08	0.17	6.37	0.17	37.18	0.38
129	Computer equipment operators	1: Total	670,109	9.82	0.52	5.92	0.45	7.27	0.50	24.51	0.87	5.51	0.58	4.65	0.44	37.43	1.05
130	Computer equipment operators	2: Male	239,795	8.85	0.95	4.96	0.75	6.45	0.84	16.64	1.36	4.57	0.75	3.94	0.68	36.00	1.92
131	Computer equipment operators	3: Female	430,315	10.36	0.70	6.46	0.63	7.73	0.64	28.90	1.01	6.03	0.76	5.05	0.49	38.23	1.12
132	Computer equipment operators	4: White	551,272	9.57	0.60	5.54	0.53	6.89	0.56	25.09	1.03	5.45	0.60	4.71	0.51	38.55	1.22
133	Computer equipment operators	5: Black	94,249	11.26	1.66	7.36	1.18	9.04	1.70	22.00	2.14	6.00	1.16	5.10	1.13	33.90	2.57
134	Computer equipment operators	6: Other	24,588	9.91	3.78	8.95	3.65	9.10	3.69	20.95	4.09	5.02	2.45	1.67	1.10	25.91	5.02
135	Computer equipment operators	7: Hispanic	42,368	6.02	2.00	1.90	0.94	4.90	1.83	18.33	3.06	5.62	2.60	2.76	1.26	22.66	3.69
136	Computer equipment operators	8: NonHispanic	627,741	10.08	0.56	6.19	0.48	7.43	0.53	24.92	0.90	5.50	0.54	4.78	0.45	38.43	1.09
137	Secretaries, stenographers and typists	1: Total	4,413,986	10.10	0.29	6.12	0.21	7.30	0.24	28.77	0.41	5.19	0.19	4.04	0.14	39.71	0.47
138	Secretaries, stenographers and typists	2: Male	82,392	7.78	1.49	4.41	1.22	5.63	1.25	22.80	2.39	4.32	1.03	6.29	1.30	40.04	2.57
139	Secretaries, stenographers and typists	3: Female	4,331,594	10.14	0.30	6.15	0.22	7.33	0.25	28.89	0.41	5.21	0.19	4.00	0.14	39.70	0.47
140	Secretaries, stenographers and typists	4: White	3,926,331	9.96	0.31	5.94	0.22	7.20	0.26	29.33	0.44	5.23	0.20	3.86	0.16	40.30	0.50
141	Secretaries, stenographers and typists	5: Black	383,375	11.60	0.80	7.85	0.64	8.39	0.60	24.31	0.97	5.59	0.57	5.72	0.74	35.87	1.42
142	Secretaries, stenographers and typists	6: Other	104,279	9.60	1.21	6.67	1.01	7.07	1.01	24.10	2.29	2.27	0.57	4.86	1.28	31.45	2.25
143	Secretaries, stenographers and typists	7: Hispanic	268,104	8.17	0.93	5.29	0.70	6.47	0.76	24.19	1.06	4.80	0.67	4.62	0.70	32.81	1.62
144	Secretaries, stenographers and typists	8: NonHispanic	4,145,882	10.22	0.30	6.18	0.22	7.35	0.25	29.07	0.44	5.22	0.20	4.00	0.14	40.15	0.50
145	Financial records processing occs	1: Total	2,245,512	8.88	0.28	5.54	0.23	6.44	0.26	28.56	0.51	5.27	0.27	4.91	0.27	39.74	0.60
146	Financial records processing occs	2: Male	220,612	9.30	1.36	4.57	0.92	6.50	1.23	19.76	1.56	6.81	1.01	6.19	0.91	36.41	1.87
147	Financial records processing occs	3: Female	2,024,900	8.84	0.30	5.64	0.25	6.43	0.27	29.51	0.51	5.10	0.27	4.77	0.25	40.10	0.63
148	Financial records processing occs	4: White	2,018,647	9.00	0.30	5.57	0.24	6.45	0.26	29.06	0.52	5.36	0.28	4.85	0.28	40.56	0.61
149	Financial records processing occs	5: Black	141,277	8.82	1.42	5.31	1.03	6.93	1.36	26.28	1.88	4.58	0.93	6.09	1.19	33.10	2.06
150	Financial records processing occs	6: Other	85,588	6.30	1.22	5.10	1.04	5.42	1.09	20.44	2.67	4.32	1.42	4.38	1.13	31.42	2.96
151	Financial records processing occs	7: Hispanic	118,397	10.74	1.51	6.44	1.09	8.87	1.47	25.70	2.13	5.85	0.93	7.31	1.03	34.81	2.50
152	Financial records processing occs	8: NonHispanic	2,127,115	8.78	0.27	5.49	0.24	6.30	0.24	28.71	0.51	5.24	0.28	4.78	0.26	40.02	0.60
153	Mail and message distributing	1: Total	914,844	10.49	0.65	5.75	0.52	8.01	0.58	25.75	0.76	4.87	0.36	5.60	0.37	41.15	0.92
154	Mail and message distributing	2: Male	583,219	9.50	0.82	4.82	0.61	7.25	0.72	21.82	0.96	4.94	0.47	5.97	0.50	41.00	1.23
155	Mail and message distributing	3: Female	331,625	12.22	0.99	7.39	0.77	9.36	0.87	32.66	1.37	4.74	0.64	4.96	0.54	41.42	1.52
156	Mail and message distributing	4: White	694,766	10.25	0.64	5.30	0.47	7.97	0.59	25.76	0.84	4.95	0.42	5.19	0.43	42.80	1.01
157	Mail and message distributing	5: Black	178,086	10.33	1.30	6.61	1.06	7.79	1.07	27.95	2.05	5.33	0.78	6.74	0.81	35.51	2.06
158	Mail and message distributing	6: Other	41,992	15.02	6.00	9.60	4.98	9.59	5.87	16.22	3.31	1.57	0.88	7.54	1.93	37.85	5.82
159	Mail and message distributing	7: Hispanic	72,808	15.67	2.53	8.81	2.00	11.92	2.34	21.81	2.53	3.12	0.99	5.68	1.54	40.34	3.19
160	Mail and message distributing	8: NonHispanic	842,036	10.04	0.64	5.48	0.51	7.67	0.58	26.09	0.77	5.02	0.39	5.59	0.40	41.22	0.89
161	Other administrative support	1: Total	9,296,535	9.77	0.18	5.74	0.14	7.18	0.15	26.78	0.28	5.23	0.13	5.44	0.13	39.12	0.38
162	Other administrative support	2: Male	2,592,119	7.82	0.32	4.09	0.25	5.28	0.25	18.33	0.39	4.70	0.23	4.86	0.22	34.86	0.54
163	Other administrative support	3: Female	6,704,416	10.52	0.23	6.38	0.17	7.91	0.19	30.05	0.33	5.43	0.15	5.67	0.16	40.77	0.42
164	Other administrative support	4: White	7,787,826	9.84	0.19	5.75	0.15	7.12	0.17	27.40	0.31	5.37	0.14	5.07	0.14	40.24	0.39
165	Other administrative support	5: Black	1,176,476	9.51	0.45	5.64	0.37	7.61	0.38	23.89	0.70	5.02	0.34	7.73	0.41	34.19	0.87
166	Other administrative support	6: Other	332,234	9.08	0.87	5.89	0.58	6.97	0.70	22.55	1.33	2.60	0.58	6.02	0.81	30.39	1.70
167	Other administrative support	7: Hispanic	733,149	10.13	0.66	6.70	0.51	7.66	0.62	24.35	0.90	4.94	0.47	6.75	0.49	33.17	1.17
168	Other administrative support	8: NonHispanic	8,563,386	9.74	0.19	5.65	0.14	7.14	0.16	26.99	0.30	5.25	0.13	5.33	0.14	39.63	0.40
169	Private household occs	1: Total	761,954	9.31	0.55	5.10	0.39	5.19	0.42	26.51	0.96	4.90	0.40	16.38	0.74	45.58	1.13
170	Private household occs	2: Male	36,030	5.96	2.41	4.08	1.96	4.31	2.07	11.57	2.75	1.13	0.81	10.82	2.74	32.28	4.50
171	Private household occs	3: Female	725,924	9.48	0.57	5.15	0.40	5.23	0.44	27.25	0.98	5.08	0.41	16.66	0.77	46.24	1.16
172	Private household occs	4: White	525,115	8.96	0.67	4.94	0.46	4.73	0.55	27.11	1.08	4.57	0.48	13.07	0.77	45.88	1.30
173	Private household occs	5: Black	215,855	10.26	0.87	5.29	0.73	6.52	0.80	25.99	1.67	5.89	0.77	25.33	1.65	46.25	1.73
174	Private household occs	6: Other	20,984	8.47	4.01	7.26	3.86	2.99	2.17	16.68	5.17	2.87	2.13	7.11	3.10	31.04	5.31
175	Private household occs	7: Hispanic	128,949	5.03	0.96	3.54	0.96	3.15	0.73	20.15	1.84	2.64	0.81	15.18	1.57	29.01	1.95
176	Private household occs	8: NonHispanic	633,005	10.19	0.63	5.42	0.44	5.61	0.47	27.81	1.08	5.36	0.45	16.63	0.81	48.95	1.19
177	Police and firefighters	1: Total	1,157,796	9.83	0.46	4.66	0.33	7.60	0.42	22.06	0.64	5.05	0.34	3.51	0.31	35.59	0.85
178	Police and firefighters	2: Male	1,021,431	9.39	0.44	4.22	0.29	7.22	0.42	20.70	0.71	5.00	0.36	3.29	0.30	34.92	0.91
179	Police and firefighters	3: Female	136,365	13.08	1.73	7.99	1.39	10.43	1.45	32.23	2.22	5.44	1.16	5.20	1.59	40.63	2.10
180	Police and firefighters	4: White	973,160	9.89	0.52	4.57	0.36	7.67	0.49	22.24	0.72	5.21	0.36	3.28	0.32	36.25	0.90
181	Police and firefighters	5: Black	163,151	9.72	1.32	5.49	1.00	7.58	1.09	21.25	1.54	4.67	0.83	5.35	0.86	31.23	1.84
182	Police and firefighters	6: Other	21,485	7.51	3.02	2.60	1.83	4.54	1.92	20.14	3.93	0.81	0.84	0.00	0.00	38.73	6.61
183	Police and firefighters	7: Hispanic	74,433	7.81	1.65	2.90	0.85	6.07	1.59	20.28	2.76	2.68	0.97	4.13	1.38	30.33	3.17
184	Police and firefighters	8: NonHispanic	1,083,362	9.96	0.49	4.78	0.35	7.70	0.44	22.19	0.64	5.21	0.36	3.47	0.33	35.95	0.85
185	Other protective service occs	1: Total	793,111	7.78	0.54	4.05	0.36	5.38	0.42	23.63	0.80	6.24	0.46	8.67	0.58	40.10	0.95
186	Other protective service occs	2: Male	638,415	7.02	0.59	3.69	0.42	4.84	0.46	21.95	0.86	6.62	0.53	8.55	0.65	39.14	1.01
187	Other protective service occs	3: Female	154,696	10.91	1.60	5.54	0.88	7.63	1.43	30.57	1.86	4.66	0.89	9.15	1.22	44.05	2.25
188	Other protective service occs	4: White	596,080	7.90	0.67	4.20	0.48	5.66	0.51	24.42	0.97	6.65	0.58	8.65	0.73	42.16	1.07
189	Other protective service occs	5: Black	172,579	7.73	1.01	3.86	0.77	4.81	0.88	21.25	1.70	5.31	0.98	9.49	1.08	34.51	1.81
190	Other protective service occs	6: Other	24,452	5.37	2.05	1.70	1.20	2.71	1.60	21.32	4.00	2.77	1.59	3.26	1.69	29.11	4.66
191	Other protective service occs	7: Hispanic	57,736	4.46	1.37	2.47	1.06	3.31	1.19	19.66	2.68	2.75	1.23	6.51	1.82	34.26	3.98
192	Other protective service occs	8: NonHispanic	735,375	8.04	0.58	4.17	0.39	5.55	0.43	23.95	0.87	6.51	0.47	8.83	0.61	40.56	0.96
193	Food service	1: Total	4,570,186	9.44	0.29	5.70	0.22	6.51	0.25	21.30	0.33	4.66	0.17	8.07	0.23	36.07	0.47
194	Food service	2: Male	1,734,081	7.24	0.40	4.14	0.30	4.87	0.30	12.00	0.39	3.57	0.23	5.51	0.32	28.75	0.68
195	Food service	3: Female	2,836,105	10.79	0.35	6.65	0.28	7.51	0.32	26.97	0.46	5.32	0.24	9.63	0.30	40.54	0.55
196	Food service	4: White	3,677,566	9.84	0.31	5.90	0.23	6.64	0.26	22.58	0.37	4.74	0.19	7.35	0.27	37.69	0.50
197	Food service	5: Black	604,271	8.00	0.64	4.85	0.49	6.11	0.55	16.91	0.75	4.70	0.45	12.17	0.67	31.65	1.06
198	Food service	6: Other	288,349	7.33	1.45	4.97	1.12	5.70	1.46	14.06	1.12	3.54	0.64	8.61	1.13	24.66	1.92
199	Food service	7: Hispanic	537,477	7.77	0.58	4.79	0.45	5.61	0.47	14.12	0.83	3.39	0.46	8.50	0.71	26.34	1.17
200	Food service	8: NonHispanic	4,032,710	9.66	0.32	5.82	0.23	6.63	0.27	22.25	0.37	4.82	0.18	8.01	0.25	37.36	0.51
201	Health service	1: Total	1,986,806	13.15	0.41	7.61	0.33	10.17	0.37	28.28	0.56	7.17	0.30	10.34	0.40	43.70	0.61
202	Health service	2: Male	207,785	12.90	1.52	7.05	1.39	9.41	1.04	18.90	1.63	8.15	1.12	6.83	0.86	39.78	1.86
203	Health service	3: Female	1,779,022	13.17	0.43	7.67	0.32	10.26	0.39	29.38	0.61	7.05	0.31	10.76	0.44	44.16	0.64
204	Health service	4: White	1,377,005	13.55	0.49	7.82	0.44	10.47	0.44	29.26	0.68	7.41	0.36	8.78	0.43	45.44	0.77
205	Health service	5: Black	529,021	12.60	0.68	7.41	0.56	9.75	0.60	25.70	0.97	7.14	0.58	15.01	0.82	40.88	1.13
206	Health service	6: Other	80,780	9.89	1.83	5.27	1.28	7.88	1.79	28.45	2.88	3.22	0.88	6.50	1.39	32.54	3.36
207	Health service	7: Hispanic	157,020	12.33	1.59	8.02	1.20	11.10	1.54	23.33	2.13	5.93	1.21	12.24	1.68	36.84	2.62
208	Health service	8: NonHispanic	1,829,786	13.22	0.45	7.57	0.36	10.10	0.39	28.71	0.59	7.27	0.31	10.18	0.42	44.29	0.66
209	Cleaning and building service	1: Total	2,836,111	9.67	0.28	5.26	0.22	7.09	0.26	21.66	0.49	5.54	0.24	11.56	0.36	40.48	0.49
210	Cleaning and building service	2: Male	1,666,580	7.96	0.34	3.89	0.28	5.64	0.32	18.44	0.58	5.60	0.31	9.94	0.45	38.09	0.62
211	Cleaning and building service	3: Female	1,169,530	12.09	0.52	7.21	0.39	9.15	0.46	26.27	0.73	5.47	0.38	13.87	0.55	43.88	0.82
212	Cleaning and building service	4: White	2,035,113	10.11	0.35	5.38	0.29	7.25	0.32	22.39	0.60	5.63	0.30	10.36	0.37	42.31	0.58
213	Cleaning and building service	5: Black	670,658	8.78	0.53	5.14	0.40	7.03	0.52	19.78	0.80	5.56	0.43	15.24	0.78	36.21	1.15
214	Cleaning and building service	6: Other	130,339	7.28	1.21	3.85	0.78	4.81	0.87	19.99	2.76	4.07	1.07	11.58	1.94	33.89	2.39
215	Cleaning and building service	7: Hispanic	397,872	7.82	0.65	4.39	0.60	5.52	0.64	17.75	0.89	4.32	0.64	12.75	0.78	29.63	1.32
216	Cleaning and building service	8: NonHispanic	2,438,238	9.97	0.30	5.40	0.24	7.34	0.28	22.30	0.53	5.74	0.26	11.37	0.37	42.25	0.52
217	Personal service	1: Total	2,356,169	9.54	0.34	5.70	0.27	5.76	0.24	27.65	0.54	5.14	0.25	7.58	0.31	41.59	0.55
218	Personal service	2: Male	426,790	7.62	0.70	4.02	0.46	4.85	0.55	19.36	1.17	4.72	0.50	6.55	0.64	36.03	1.18
219	Personal service	3: Female	1,929,380	9.96	0.38	6.07	0.31	5.96	0.26	29.48	0.55	5.24	0.28	7.81	0.35	42.82	0.57
220	Personal service	4: White	1,985,097	9.32	0.36	5.51	0.27	5.57	0.27	28.33	0.61	5.32	0.28	6.64	0.33	42.51	0.61
221	Personal service	5: Black	276,853	10.38	0.90	6.03	0.66	7.10	0.72	25.10	1.43	4.85	0.61	14.00	1.00	37.69	1.42
222	Personal service	6: Other	94,219	11.69	2.57	8.59	2.53	5.93	1.18	20.68	3.30	2.23	0.62	8.72	1.76	33.77	3.08
223	Personal service	7: Hispanic	185,720	10.07	1.22	5.75	0.81	6.57	1.06	25.06	2.37	5.53	0.91	11.18	1.35	33.89	1.84
224	Personal service	8: NonHispanic	2,170,450	9.49	0.35	5.69	0.28	5.69	0.25	27.87	0.53	5.11	0.26	7.27	0.30	42.25	0.57
225	Farm operators and managers	1: Total	1,399,369	6.36	0.42	2.95	0.26	3.79	0.30	19.11	0.71	6.93	0.45	8.47	0.62	40.40	1.16
226	Farm operators and managers	2: Male	1,168,400	6.12	0.44	2.68	0.26	3.67	0.32	17.84	0.67	7.37	0.46	8.81	0.65	39.69	1.16
227	Farm operators and managers	3: Female	230,968	7.58	0.87	4.32	0.71	4.43	0.65	25.51	1.60	4.69	0.83	6.75	0.91	43.99	1.86
228	Farm operators and managers	4: White	1,360,005	6.29	0.42	2.91	0.26	3.78	0.31	19.07	0.73	6.95	0.45	8.29	0.63	40.49	1.19
229	Farm operators and managers	5: Black	26,581	7.47	2.29	2.27	1.20	4.53	1.91	15.20	4.54	4.09	1.85	16.46	4.35	34.66	5.05
230	Farm operators and managers	6: Other	12,783	12.07	4.62	8.78	4.12	3.48	2.55	30.65	6.41	10.05	3.59	11.50	4.92	42.69	7.52
231	Farm operators and managers	7: Hispanic	42,237	6.22	1.97	4.10	1.64	3.60	1.32	12.28	2.28	6.24	2.59	6.12	1.92	27.40	3.68
232	Farm operators and managers	8: NonHispanic	1,357,132	6.37	0.43	2.92	0.27	3.80	0.31	19.32	0.74	6.95	0.45	8.54	0.64	40.80	1.19
233	Farm workers and other agricultural workers	1: Total	1,616,443	6.58	0.33	3.35	0.24	4.88	0.28	14.76	0.58	4.50	0.29	8.92	0.45	32.18	0.77
234	Farm workers and other agricultural workers	2: Male	1,322,851	6.26	0.35	3.18	0.25	4.68	0.31	12.67	0.57	4.52	0.31	9.00	0.48	30.76	0.82
235	Farm workers and other agricultural workers	3: Female	293,592	8.02	0.82	4.13	0.58	5.79	0.70	24.15	1.22	4.37	0.59	8.59	1.06	38.56	1.56
236	Farm workers and other agricultural workers	4: White	1,421,858	6.31	0.33	3.16	0.25	4.58	0.29	14.78	0.62	4.45	0.32	8.02	0.46	32.22	0.84
237	Farm workers and other agricultural workers	5: Black	158,075	8.78	1.17	4.93	0.88	7.56	1.13	13.53	1.20	4.57	0.88	17.46	1.64	31.65	1.86
238	Farm workers and other agricultural workers	6: Other	36,510	7.70	2.34	3.65	1.74	5.34	2.05	19.34	3.06	5.79	1.83	7.19	2.50	32.84	3.46
239	Farm workers and other agricultural workers	7: Hispanic	373,069	3.60	0.52	1.57	0.41	2.92	0.47	8.27	0.93	3.14	0.60	8.18	0.81	16.64	1.05
240	Farm workers and other agricultural workers	8: NonHispanic	1,243,374	7.47	0.37	3.88	0.28	5.47	0.34	16.71	0.57	4.90	0.32	9.14	0.50	36.84	0.75
241	Forestry and fishing occs	1: Total	199,857	7.12	0.96	3.65	0.76	5.18	0.94	12.49	1.45	3.45	0.75	10.17	1.51	35.25	2.14
242	Forestry and fishing occs	2: Male	191,542	6.84	1.00	3.57	0.77	5.06	0.96	12.24	1.36	3.49	0.79	10.40	1.57	35.06	2.16
243	Forestry and fishing occs	3: Female	8,315	13.66	5.96	5.59	3.92	7.93	4.53	18.31	7.20	2.55	2.75	5.01	3.81	39.49	10.52
244	Forestry and fishing occs	4: White	170,245	7.10	0.93	3.55	0.73	4.94	0.92	11.51	1.36	3.14	0.66	7.93	1.23	35.25	2.20
245	Forestry and fishing occs	5: Black	23,999	8.08	3.44	4.39	3.38	7.25	3.29	19.00	4.60	5.48	2.90	24.81	5.86	37.16	6.82
246	Forestry and fishing occs	6: Other	5,614	3.62	3.75	3.62	3.75	3.62	3.75	14.57	9.59	4.36	4.49	15.46	8.02	26.84	7.83
247	Forestry and fishing occs	7: Hispanic	6,092	0.00	0.00	0.00	0.00	0.00	0.00	11.31	6.12	4.16	4.10	10.72	5.42	15.35	6.65
248	Forestry and fishing occs	8: NonHispanic	193,766	7.35	0.99	3.77	0.79	5.34	0.97	12.53	1.44	3.43	0.77	10.15	1.53	35.87	2.17
249	Mechanics and repairers	1: Total	4,203,192	7.95	0.23	4.24	0.17	5.64	0.19	17.15	0.33	5.05	0.18	6.54	0.23	36.18	0.52
250	Mechanics and repairers	2: Male	4,037,571	7.79	0.24	4.15	0.18	5.52	0.20	16.59	0.33	5.03	0.19	6.52	0.23	35.82	0.52
251	Mechanics and repairers	3: Female	165,622	11.98	1.20	6.40	1.00	8.48	1.11	30.73	1.87	5.53	0.88	7.00	1.19	44.81	1.89
252	Mechanics and repairers	4: White	3,756,127	8.03	0.26	4.27	0.19	5.66	0.21	17.34	0.33	5.11	0.19	6.40	0.25	36.90	0.51
253	Mechanics and repairers	5: Black	334,805	7.50	0.80	3.58	0.59	5.63	0.71	15.01	1.15	4.89	0.61	7.37	0.84	30.04	1.54
254	Mechanics and repairers	6: Other	112,260	6.62	1.36	5.08	1.18	5.09	1.27	17.32	2.13	3.36	0.96	8.50	1.75	30.31	2.68
255	Mechanics and repairers	7: Hispanic	312,662	7.72	0.80	4.87	0.62	5.85	0.71	14.65	1.04	3.89	0.62	7.22	0.71	28.07	1.37
256	Mechanics and repairers	8: NonHispanic	3,890,530	7.97	0.24	4.19	0.18	5.62	0.20	17.35	0.34	5.14	0.19	6.48	0.24	36.83	0.54
257	Construction and extractive trades	1: Total	4,960,923	7.58	0.20	3.90	0.16	5.56	0.16	14.49	0.27	4.35	0.16	6.11	0.21	33.47	0.45
258	Construction and extractive trades	2: Male	4,852,370	7.50	0.20	3.86	0.16	5.52	0.16	14.28	0.27	4.34	0.16	6.08	0.21	33.29	0.46
259	Construction and extractive trades	3: Female	108,553	11.25	1.65	5.33	1.04	7.32	1.26	23.60	2.04	4.44	1.04	7.64	1.31	41.24	2.55
260	Construction and extractive trades	4: White	4,502,359	7.68	0.22	3.99	0.17	5.58	0.18	14.56	0.28	4.37	0.17	5.85	0.22	34.12	0.46
261	Construction and extractive trades	5: Black	350,909	6.39	0.64	2.65	0.39	5.13	0.61	12.92	0.85	4.00	0.47	8.60	0.80	25.30	1.30
262	Construction and extractive trades	6: Other	107,655	7.45	1.50	3.92	1.18	6.07	1.52	16.72	1.78	4.66	1.11	9.22	1.45	32.90	2.51
263	Construction and extractive trades	7: Hispanic	451,211	6.39	0.53	3.28	0.42	4.95	0.44	9.54	0.71	3.30	0.50	8.12	0.98	22.68	0.99
264	Construction and extractive trades	8: NonHispanic	4,509,712	7.70	0.21	3.96	0.17	5.62	0.16	14.98	0.29	4.45	0.17	5.91	0.20	34.55	0.47
265	Precision production occs	1: Total	3,766,588	7.91	0.22	4.11	0.18	5.78	0.18	19.91	0.36	5.31	0.21	6.85	0.23	36.33	0.44
266	Precision production occs	2: Male	2,894,734	7.34	0.24	3.81	0.21	5.30	0.20	17.37	0.40	5.16	0.23	5.99	0.21	35.08	0.45
267	Precision production occs	3: Female	871,854	9.77	0.45	5.09	0.38	7.37	0.41	28.32	0.77	5.82	0.41	9.68	0.56	40.49	0.95
268	Precision production occs	4: White	3,299,504	7.82	0.24	4.01	0.20	5.63	0.19	20.09	0.38	5.44	0.23	6.47	0.22	37.38	0.47
269	Precision production occs	5: Black	310,343	9.17	0.67	5.52	0.58	7.58	0.64	20.26	1.33	4.99	0.67	10.91	1.02	30.48	1.26
270	Precision production occs	6: Other	156,740	7.10	0.96	3.44	0.84	5.35	0.87	15.33	1.50	3.38	0.78	6.68	1.28	25.73	1.91
271	Precision production occs	7: Hispanic	343,542	7.21	0.69	3.48	0.45	5.11	0.62	16.46	1.02	3.70	0.56	8.98	0.84	26.22	1.25
272	Precision production occs	8: NonHispanic	3,423,046	7.97	0.23	4.17	0.20	5.84	0.19	20.25	0.39	5.48	0.22	6.63	0.24	37.34	0.45
273	Machine operators/tenderers, except precision	1: Total	5,221,401	8.52	0.26	4.47	0.17	6.63	0.21	20.21	0.34	5.48	0.19	8.51	0.25	35.91	0.45
274	Machine operators/tenderers, except precision	2: Male	3,134,398	7.61	0.29	3.84	0.21	5.86	0.25	15.94	0.37	5.04	0.22	6.95	0.28	33.96	0.54
275	Machine operators/tenderers, except precision	3: Female	2,087,003	9.89	0.36	5.41	0.27	7.78	0.30	26.62	0.56	6.16	0.30	10.84	0.41	38.84	0.65
276	Machine operators/tenderers, except precision	4: White	4,210,362	8.73	0.28	4.55	0.20	6.76	0.23	20.92	0.38	5.65	0.21	7.86	0.27	37.43	0.47
277	Machine operators/tenderers, except precision	5: Black	794,809	8.31	0.62	4.45	0.40	6.45	0.56	18.22	0.74	5.28	0.41	11.83	0.67	31.51	1.08
278	Machine operators/tenderers, except precision	6: Other	216,230	5.17	0.77	2.97	0.58	4.75	0.75	13.71	1.34	3.10	0.53	8.96	0.91	22.53	1.31
279	Machine operators/tenderers, except precision	7: Hispanic	660,521	6.35	0.50	3.14	0.35	5.10	0.52	16.22	0.72	3.78	0.34	9.70	0.52	24.46	1.00
280	Machine operators/tenderers, except precision	8: NonHispanic	4,560,880	8.83	0.28	4.66	0.19	6.85	0.22	20.78	0.36	5.73	0.22	8.34	0.27	37.57	0.51
281	Fabricators, assemblers, inspectors, samplers	1: Total	2,566,964	9.99	0.32	5.27	0.23	7.75	0.28	22.99	0.45	5.71	0.25	8.39	0.34	38.25	0.65
282	Fabricators, assemblers, inspectors, samplers	2: Male	1,581,326	8.66	0.43	4.69	0.28	6.82	0.36	17.57	0.58	5.37	0.32	6.75	0.35	36.20	0.74
283	Fabricators, assemblers, inspectors, samplers	3: Female	985,638	12.11	0.55	6.20	0.44	9.24	0.46	31.68	0.74	6.26	0.44	11.01	0.61	41.55	0.95
284	Fabricators, assemblers, inspectors, samplers	4: White	2,118,235	9.83	0.34	5.14	0.25	7.56	0.30	23.10	0.51	5.63	0.28	7.86	0.35	39.20	0.68
285	Fabricators, assemblers, inspectors, samplers	5: Black	336,777	11.58	0.90	6.23	0.79	9.51	0.82	23.18	1.27	6.28	0.72	11.20	0.96	35.08	1.41
286	Fabricators, assemblers, inspectors, samplers	6: Other	111,951	8.20	1.70	4.91	1.42	5.92	1.58	20.26	1.95	5.47	1.10	9.93	1.53	29.96	2.82
287	Fabricators, assemblers, inspectors, samplers	7: Hispanic	298,407	6.91	0.76	4.12	0.55	5.37	0.76	18.17	1.19	4.21	0.61	9.76	1.09	25.96	1.55
288	Fabricators, assemblers, inspectors, samplers	8: NonHispanic	2,268,557	10.39	0.35	5.42	0.25	8.06	0.30	23.62	0.47	5.91	0.27	8.21	0.34	39.87	0.66
289	Motor vehicle operators	1: Total	3,529,824	7.64	0.26	3.69	0.17	5.55	0.22	18.80	0.43	5.85	0.22	7.73	0.25	35.18	0.53
290	Motor vehicle operators	2: Male	3,147,698	7.20	0.27	3.40	0.18	5.17	0.23	17.45	0.43	5.74	0.23	7.51	0.26	34.05	0.54
291	Motor vehicle operators	3: Female	382,126	11.26	0.79	6.15	0.62	8.64	0.72	29.91	1.17	6.69	0.63	9.53	0.74	44.55	1.38
292	Motor vehicle operators	4: White	2,907,359	7.54	0.28	3.58	0.19	5.36	0.23	19.21	0.46	5.99	0.24	7.09	0.27	36.53	0.54
293	Motor vehicle operators	5: Black	536,222	8.39	0.69	4.61	0.50	6.75	0.64	16.83	0.91	5.40	0.61	11.09	0.73	29.61	1.30
294	Motor vehicle operators	6: Other	86,243	6.25	1.11	1.76	0.73	4.37	1.00	17.15	2.46	3.66	1.17	8.42	1.93	24.39	3.11
295	Motor vehicle operators	7: Hispanic	276,992	7.92	0.98	4.52	0.66	6.24	0.93	13.91	1.11	4.17	0.80	9.27	1.03	29.32	1.61
296	Motor vehicle operators	8: NonHispanic	3,252,832	7.61	0.27	3.62	0.18	5.49	0.23	19.21	0.46	5.99	0.22	7.60	0.27	35.68	0.56
297	Other transportation, except motor vehicles	1: Total	176,360	7.82	0.98	3.78	0.77	6.06	0.91	19.19	1.56	6.64	1.13	3.85	0.70	38.75	1.89
298	Other transportation, except motor vehicles	2: Male	170,736	7.96	0.99	3.90	0.79	6.14	0.92	18.91	1.62	6.60	1.14	3.21	0.65	38.40	1.96
299	Other transportation, except motor vehicles	3: Female	5,625	3.60	3.55	0.00	0.00	3.60	3.55	27.69	10.47	7.59	5.29	23.39	10.88	49.25	11.27
300	Other transportation, except motor vehicles	4: White	160,282	8.04	0.96	3.78	0.71	6.52	0.98	18.75	1.76	7.15	1.19	3.49	0.69	39.31	2.04
301	Other transportation, except motor vehicles	5: Black	13,492	6.69	3.35	4.44	3.11	1.74	1.71	28.06	7.05	1.74	1.27	8.91	4.69	35.90	7.74
302	Other transportation, except motor vehicles	6: Other	2,587	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	18.75	12.97
303	Other transportation, except motor vehicles	7: Hispanic	6,341	3.57	3.75	3.57	3.75	0.00	0.00	18.59	9.09	0.00	0.00	0.00	0.00	39.40	8.35
304	Other transportation, except motor vehicles	8: NonHispanic	170,020	7.98	1.02	3.78	0.81	6.28	0.94	19.21	1.62	6.88	1.16	4.00	0.73	38.72	1.92
305	Material moving equipment operators	1: Total	1,094,233	7.75	0.42	4.00	0.33	6.08	0.40	16.46	0.57	6.27	0.41	7.49	0.43	35.72	0.81
306	Material moving equipment operators	2: Male	1,035,934	7.64	0.43	3.93	0.33	5.95	0.40	16.00	0.58	6.16	0.42	7.67	0.45	35.71	0.85
307	Material moving equipment operators	3: Female	58,299	9.72	2.07	5.29	1.44	8.33	1.88	24.75	2.81	8.40	1.71	4.21	1.26	35.74	2.93
308	Material moving equipment operators	4: White	919,315	7.61	0.48	3.84	0.36	6.10	0.44	16.68	0.64	6.02	0.41	6.82	0.49	36.44	0.86
309	Material moving equipment operators	5: Black	152,242	8.56	1.31	5.03	0.94	6.00	0.99	15.60	1.52	7.76	1.33	10.69	1.26	31.08	2.22
310	Material moving equipment operators	6: Other	22,676	7.97	2.45	3.63	1.88	5.94	2.30	13.51	4.04	6.64	2.31	13.48	3.08	37.66	5.89
311	Material moving equipment operators	7: Hispanic	88,147	7.30	1.34	5.71	1.21	6.51	1.40	11.68	1.75	6.27	1.49	8.06	1.48	25.35	2.76
312	Material moving equipment operators	8: NonHispanic	1,006,086	7.79	0.44	3.85	0.34	6.04	0.39	16.88	0.61	6.28	0.42	7.44	0.45	36.62	0.85
313	Construction laborers	1: Total	697,191	6.93	0.55	3.16	0.33	5.45	0.45	13.08	0.70	4.05	0.44	7.82	0.53	28.83	1.04
314	Construction laborers	2: Male	676,315	6.80	0.54	3.13	0.34	5.35	0.45	12.78	0.70	4.07	0.45	7.66	0.54	28.56	1.06
315	Construction laborers	3: Female	20,877	11.17	4.12	4.16	2.11	8.78	3.47	22.96	4.38	3.31	1.93	13.16	4.17	37.59	5.94
316	Construction laborers	4: White	585,900	7.06	0.63	3.17	0.36	5.41	0.50	13.29	0.79	4.08	0.47	7.24	0.59	29.22	1.15
317	Construction laborers	5: Black	97,045	6.23	1.25	3.12	0.96	5.80	1.21	10.59	1.72	4.47	0.98	10.92	1.63	25.98	2.31
318	Construction laborers	6: Other	14,246	6.67	3.22	3.07	2.97	4.99	3.00	21.34	5.53	0.00	0.00	10.73	4.18	31.91	6.31
319	Construction laborers	7: Hispanic	111,458	5.06	1.30	2.39	0.90	2.99	0.82	10.90	1.70	3.18	0.97	9.78	1.41	16.95	2.52
320	Construction laborers	8: NonHispanic	585,733	7.29	0.62	3.31	0.37	5.92	0.51	13.50	0.78	4.21	0.48	7.45	0.60	31.09	1.14
321	Freight, stock, material handlers	1: Total	3,410,507	8.41	0.26	4.28	0.20	6.36	0.23	17.67	0.36	5.15	0.22	7.30	0.27	33.21	0.48
322	Freight, stock, material handlers	2: Male	2,627,018	7.91	0.29	3.94	0.22	5.96	0.26	14.95	0.42	4.82	0.26	6.50	0.29	31.43	0.50
323	Freight, stock, material handlers	3: Female	783,489	10.07	0.56	5.44	0.40	7.73	0.52	26.79	0.83	6.24	0.42	10.02	0.60	39.17	0.91
324	Freight, stock, material handlers	4: White	2,733,823	8.53	0.31	4.41	0.23	6.38	0.27	18.65	0.42	5.22	0.26	6.46	0.27	34.65	0.52
325	Freight, stock, material handlers	5: Black	564,450	8.12	0.63	3.88	0.43	6.41	0.56	12.83	0.71	4.67	0.45	11.29	0.89	26.94	1.03
326	Freight, stock, material handlers	6: Other	112,233	7.03	1.21	3.04	0.82	5.87	1.28	18.16	2.09	5.68	1.14	7.74	1.65	29.56	2.33
327	Freight, stock, material handlers	7: Hispanic	379,154	7.62	0.71	4.21	0.48	6.03	0.63	14.01	0.81	3.74	0.46	9.09	0.95	25.58	1.32
328	Freight, stock, material handlers	8: NonHispanic	3,031,353	8.51	0.28	4.29	0.21	6.41	0.23	18.13	0.40	5.32	0.24	7.08	0.28	34.16	0.51