Table 2. Overall Prevalence (%) of Disability and Health Indicators by 13 Occupations
	Occupation 41 Classes	Group	Population Estimates	Estimated Prevalence of Lost Work Days	Standard Error of Lost Work Days	Estimated Prevalence of Bed Days	Standard Error of Bed Days	Estimated Prevalence of Self-Rated Health	Standard Error of Self-Rated Health
	All Workers	1: Total	126,637,408	47.08	0.18	37.24	0.19	27.62	0.17
0	All Occupations	1: Total	126,637,408	47.08	0.18	37.24	0.19	27.62	0.17
0	All Occupations	2: Age 18-64	122,737,590	47.65	0.19	37.69	0.20	27.14	0.17
0	All Occupations	3: 65+	3,899,818	28.82	0.68	22.98	0.65	42.69	0.78
0	All Occupations	4: Male	68,137,945	42.11	0.25	32.08	0.26	26.63	0.21
0	All Occupations	5: Female	58,499,463	52.87	0.24	43.26	0.24	28.78	0.21
0	All Occupations	6: White	105,181,902	47.64	0.20	37.96	0.21	26.33	0.18
0	All Occupations	7: Black	13,785,259	46.34	0.44	34.62	0.43	35.32	0.47
0	All Occupations	8: Other	7,670,246	40.68	0.68	31.97	0.58	31.55	0.62
0	All Occupations	9: Hispanic	14,025,436	37.42	0.45	27.98	0.37	34.42	0.42
0	All Occupations	10: NonHispanic	112,926,553	48.26	0.19	38.37	0.21	26.80	0.18
0	All Occupations	11: Insured	19,245,636	38.93	0.40	32.00	0.40	36.15	0.41
0	All Occupations	12: NonInsured	107,077,190	48.55	0.20	38.20	0.20	26.07	0.17
1	Officials and administrators public admin	1: Total	776,174	58.60	1.77	44.03	1.82	24.96	1.59
1	Officials and administrators public admin	2: Age 18-64	744,718	60.16	1.83	44.97	1.86	24.96	1.62
1	Officials and administrators public admin	3: 65+	31,456	20.91	7.11	21.31	7.27	24.94	6.94
1	Officials and administrators public admin	4: Male	405,511	54.39	2.77	42.94	2.77	23.54	2.33
1	Officials and administrators public admin	5: Female	370,663	63.20	2.53	45.22	2.45	26.51	2.39
1	Officials and administrators public admin	6: White	638,419	58.20	1.98	43.93	2.11	24.37	1.83
1	Officials and administrators public admin	7: Black	111,728	57.84	4.09	40.26	4.10	25.87	4.45
1	Officials and administrators public admin	8: Other	26,026	72.09	7.74	62.47	7.74	35.52	8.66
1	Officials and administrators public admin	9: Hispanic	40,711	63.21	8.17	40.52	7.48	36.26	8.12
1	Officials and administrators public admin	10: NonHispanic	735,463	58.35	1.82	44.22	1.86	24.33	1.61
1	Officials and administrators public admin	11: Insured	20,178	52.21	12.34	43.02	12.47	47.19	12.39
1	Officials and administrators public admin	12: NonInsured	755,995	58.77	1.79	44.05	1.86	24.36	1.59
2	Managers administrators, except public administration	1: Total	12,437,864	44.77	0.54	37.45	0.49	21.71	0.38
2	Managers administrators, except public administration	2: Age 18-64	12,083,442	45.17	0.55	37.84	0.50	21.11	0.38
2	Managers administrators, except public administration	3: 65+	354,423	31.29	2.45	24.25	2.24	42.03	2.78
2	Managers administrators, except public administration	4: Male	7,343,889	39.84	0.69	33.17	0.64	20.82	0.48
2	Managers administrators, except public administration	5: Female	5,093,975	51.90	0.75	43.64	0.70	22.99	0.59
2	Managers administrators, except public administration	6: White	11,039,374	44.83	0.57	37.45	0.52	20.88	0.40
2	Managers administrators, except public administration	7: Black	830,874	46.24	1.73	37.76	1.57	29.93	1.48
2	Managers administrators, except public administration	8: Other	567,616	41.42	2.11	37.11	2.30	25.81	2.21
2	Managers administrators, except public administration	9: Hispanic	811,227	40.87	1.67	34.73	1.51	26.05	1.37
2	Managers administrators, except public administration	10: NonHispanic	11,649,337	45.05	0.55	37.65	0.51	21.45	0.40
2	Managers administrators, except public administration	11: Insured	1,023,363	33.47	1.60	31.34	1.58	30.39	1.32
2	Managers administrators, except public administration	12: NonInsured	11,391,801	45.77	0.56	38.00	0.50	20.89	0.40
3	Management related occs	1: Total	5,102,148	53.62	0.72	42.20	0.72	21.52	0.59
3	Management related occs	2: Age 18-64	4,953,432	54.34	0.73	42.71	0.74	20.97	0.60
3	Management related occs	3: 65+	148,715	29.73	3.58	25.54	3.29	39.76	4.11
3	Management related occs	4: Male	2,152,795	44.90	1.13	35.27	1.15	21.01	1.02
3	Management related occs	5: Female	2,949,352	60.01	0.92	47.27	1.00	21.89	0.78
3	Management related occs	6: White	4,341,991	53.41	0.76	42.09	0.80	20.44	0.62
3	Management related occs	7: Black	498,592	54.18	2.08	43.61	1.86	29.07	1.77
3	Management related occs	8: Other	261,565	55.98	3.16	41.43	2.83	24.95	2.68
3	Management related occs	9: Hispanic	312,738	56.02	2.39	46.78	2.60	26.01	2.03
3	Management related occs	10: NonHispanic	4,795,776	53.43	0.77	41.90	0.75	21.22	0.61
3	Management related occs	11: Insured	255,560	39.21	3.07	35.22	2.98	25.98	2.54
3	Management related occs	12: NonInsured	4,840,221	54.41	0.73	42.58	0.73	21.28	0.60
4	Engineers	1: Total	1,982,478	51.84	1.12	38.99	1.21	18.38	0.96
4	Engineers	2: Age 18-64	1,950,940	52.30	1.13	39.33	1.21	18.23	0.97
4	Engineers	3: 65+	31,538	23.53	7.04	18.01	6.28	27.95	7.44
4	Engineers	4: Male	1,779,772	50.46	1.21	38.20	1.23	18.48	1.01
4	Engineers	5: Female	202,706	63.92	3.26	45.88	3.82	17.52	2.74
4	Engineers	6: White	1,702,866	52.15	1.24	39.46	1.34	17.03	1.05
4	Engineers	7: Black	91,001	52.21	4.75	34.64	4.89	14.81	3.45
4	Engineers	8: Other	188,611	48.86	3.54	36.84	4.59	32.26	3.73
4	Engineers	9: Hispanic	102,356	45.68	4.45	33.43	4.67	18.94	3.60
4	Engineers	10: NonHispanic	1,883,148	52.12	1.16	39.22	1.22	18.35	1.00
4	Engineers	11: Insured	39,702	43.68	8.99	34.97	9.02	20.82	7.47
4	Engineers	12: NonInsured	1,939,750	52.06	1.17	39.13	1.24	18.33	0.98
5	Architects and surveyors	1: Total	227,354	50.14	3.65	40.52	3.83	12.81	2.32
5	Architects and surveyors	2: Age 18-64	217,892	50.74	3.79	41.01	3.90	11.34	2.27
5	Architects and surveyors	3: 65+	9,462	36.32	16.79	29.13	15.06	46.71	15.16
5	Architects and surveyors	4: Male	188,176	52.37	3.82	39.23	4.01	13.46	2.58
5	Architects and surveyors	5: Female	39,178	39.41	8.44	46.72	8.39	9.73	3.94
5	Architects and surveyors	6: White	199,031	49.65	3.73	39.06	3.93	12.07	2.42
5	Architects and surveyors	7: Black	11,522	30.23	13.67	31.36	14.22	16.19	12.61
5	Architects and surveyors	8: Other	16,801	69.61	12.37	64.00	13.89	19.35	10.17
5	Architects and surveyors	9: Hispanic	13,861	43.13	11.54	30.32	10.35	17.27	7.96
5	Architects and surveyors	10: NonHispanic	213,494	50.59	3.82	41.18	4.00	12.53	2.40
5	Architects and surveyors	11: Insured	10,680	54.68	16.05	42.55	15.01	20.49	10.62
5	Architects and surveyors	12: NonInsured	216,674	49.91	3.75	40.42	3.87	12.44	2.37
6	Natural mathematical/computer scientists	1: Total	2,631,818	55.43	1.07	42.38	1.02	17.48	0.74
6	Natural mathematical/computer scientists	2: Age 18-64	2,608,499	55.60	1.07	42.38	1.03	17.47	0.74
6	Natural mathematical/computer scientists	3: 65+	23,319	37.13	8.84	42.42	9.02	19.01	7.22
6	Natural mathematical/computer scientists	4: Male	1,837,242	52.99	1.28	38.47	1.16	16.74	0.87
6	Natural mathematical/computer scientists	5: Female	794,577	61.10	1.60	51.47	1.74	19.19	1.29
6	Natural mathematical/computer scientists	6: White	2,077,747	57.15	1.26	43.27	1.10	16.88	0.80
6	Natural mathematical/computer scientists	7: Black	169,254	55.66	3.91	43.47	4.00	23.81	3.85
6	Natural mathematical/computer scientists	8: Other	384,817	46.04	3.02	37.11	2.85	17.93	2.22
6	Natural mathematical/computer scientists	9: Hispanic	116,875	54.77	3.92	40.39	3.93	20.83	3.61
6	Natural mathematical/computer scientists	10: NonHispanic	2,522,171	55.37	1.09	42.45	1.04	17.34	0.73
6	Natural mathematical/computer scientists	11: Insured	102,890	45.96	4.96	37.01	4.51	15.61	3.37
6	Natural mathematical/computer scientists	12: NonInsured	2,521,701	55.91	1.11	42.63	1.07	17.54	0.74
7	Health diagnosing occs	1: Total	1,056,918	26.32	1.44	26.71	1.35	9.91	0.94
7	Health diagnosing occs	2: Age 18-64	996,820	26.56	1.52	27.16	1.43	8.88	0.94
7	Health diagnosing occs	3: 65+	60,098	22.40	5.26	19.23	4.48	26.98	4.91
7	Health diagnosing occs	4: Male	761,612	21.92	1.60	22.92	1.58	8.67	1.01
7	Health diagnosing occs	5: Female	295,306	37.78	2.95	36.47	2.61	13.11	2.19
7	Health diagnosing occs	6: White	884,072	26.35	1.63	26.51	1.51	9.49	1.02
7	Health diagnosing occs	7: Black	40,194	30.75	6.57	24.07	6.24	17.21	5.66
7	Health diagnosing occs	8: Other	132,652	24.79	3.71	28.88	4.16	10.54	2.62
7	Health diagnosing occs	9: Hispanic	52,276	32.27	5.73	23.88	5.26	8.81	3.27
7	Health diagnosing occs	10: NonHispanic	1,006,155	25.97	1.48	26.82	1.41	9.95	0.98
7	Health diagnosing occs	11: Insured	35,448	24.38	6.77	27.39	7.21	12.82	5.47
7	Health diagnosing occs	12: NonInsured	1,019,957	26.43	1.47	26.73	1.36	9.83	0.93
8	Health assessment/treating occs	1: Total	3,317,369	56.13	0.90	45.37	0.93	19.66	0.71
8	Health assessment/treating occs	2: Age 18-64	3,255,118	56.68	0.91	45.77	0.93	19.43	0.72
8	Health assessment/treating occs	3: 65+	62,251	27.68	5.44	24.71	4.82	31.54	5.81
8	Health assessment/treating occs	4: Male	431,252	47.74	2.33	39.01	2.63	15.51	1.79
8	Health assessment/treating occs	5: Female	2,886,117	57.40	0.99	46.33	1.01	20.28	0.77
8	Health assessment/treating occs	6: White	2,816,883	56.99	0.96	46.41	1.01	18.19	0.74
8	Health assessment/treating occs	7: Black	317,114	51.33	2.66	38.32	2.33	30.68	2.50
8	Health assessment/treating occs	8: Other	183,372	51.14	4.25	41.38	4.33	23.27	3.06
8	Health assessment/treating occs	9: Hispanic	117,973	51.10	3.76	41.99	3.93	22.73	2.94
8	Health assessment/treating occs	10: NonHispanic	3,204,237	56.29	0.93	45.53	0.96	19.60	0.74
8	Health assessment/treating occs	11: Insured	129,391	49.28	4.22	45.09	4.35	25.84	3.74
8	Health assessment/treating occs	12: NonInsured	3,183,137	56.44	0.93	45.36	0.94	19.35	0.71
9	Teachers, librarians, counselors	1: Total	6,858,940	52.66	0.62	42.94	0.63	18.84	0.52
9	Teachers, librarians, counselors	2: Age 18-64	6,689,891	53.31	0.62	43.41	0.65	18.57	0.53
9	Teachers, librarians, counselors	3: 65+	169,049	26.55	3.06	24.37	2.92	29.91	3.21
9	Teachers, librarians, counselors	4: Male	2,159,643	44.97	1.12	35.52	1.17	17.73	0.89
9	Teachers, librarians, counselors	5: Female	4,699,297	56.19	0.75	46.35	0.74	19.36	0.64
9	Teachers, librarians, counselors	6: White	5,958,578	53.76	0.68	44.08	0.72	17.52	0.56
9	Teachers, librarians, counselors	7: Black	624,957	48.54	1.85	35.59	1.69	29.89	1.75
9	Teachers, librarians, counselors	8: Other	275,405	38.23	2.78	34.87	2.66	22.42	2.50
9	Teachers, librarians, counselors	9: Hispanic	358,343	50.35	2.46	39.43	2.26	26.09	2.11
9	Teachers, librarians, counselors	10: NonHispanic	6,506,357	52.76	0.64	43.11	0.64	18.43	0.53
9	Teachers, librarians, counselors	11: Insured	363,539	49.22	2.84	42.13	2.75	27.37	2.42
9	Teachers, librarians, counselors	12: NonInsured	6,489,641	52.88	0.63	43.00	0.66	18.38	0.54
10	Writers, artists, entertainers, athletes	1: Total	2,297,894	47.22	1.02	41.78	1.12	19.11	0.81
10	Writers, artists, entertainers, athletes	2: Age 18-64	2,206,491	48.29	1.05	42.57	1.15	18.88	0.81
10	Writers, artists, entertainers, athletes	3: 65+	91,404	21.71	3.90	22.78	4.11	24.67	4.08
10	Writers, artists, entertainers, athletes	4: Male	1,181,889	43.80	1.49	37.32	1.47	19.74	1.25
10	Writers, artists, entertainers, athletes	5: Female	1,116,006	50.84	1.42	46.52	1.64	18.44	1.11
10	Writers, artists, entertainers, athletes	6: White	2,036,237	48.50	1.07	43.05	1.21	17.91	0.87
10	Writers, artists, entertainers, athletes	7: Black	157,189	37.29	3.87	29.91	3.58	28.65	3.77
10	Writers, artists, entertainers, athletes	8: Other	104,468	36.81	4.75	34.82	4.86	28.13	3.90
10	Writers, artists, entertainers, athletes	9: Hispanic	160,597	42.87	3.57	32.46	3.26	29.50	3.23
10	Writers, artists, entertainers, athletes	10: NonHispanic	2,145,954	47.39	1.05	42.37	1.15	18.32	0.87
10	Writers, artists, entertainers, athletes	11: Insured	347,616	44.30	2.57	37.30	2.41	25.82	2.59
10	Writers, artists, entertainers, athletes	12: NonInsured	1,941,621	47.91	1.11	42.70	1.26	17.92	0.85
11	Other professional specialty occs	1: Total	2,936,535	54.01	1.03	45.55	1.01	21.71	0.73
11	Other professional specialty occs	2: Age 18-64	2,801,432	55.03	1.05	46.45	1.05	21.04	0.75
11	Other professional specialty occs	3: 65+	135,104	32.68	3.52	26.84	3.21	35.68	3.52
11	Other professional specialty occs	4: Male	1,491,569	47.09	1.58	40.36	1.54	18.70	1.04
11	Other professional specialty occs	5: Female	1,444,967	61.16	1.29	50.92	1.31	24.83	1.04
11	Other professional specialty occs	6: White	2,453,397	54.05	1.12	45.94	1.08	19.85	0.79
11	Other professional specialty occs	7: Black	353,568	55.27	2.44	43.54	2.71	36.06	2.48
11	Other professional specialty occs	8: Other	129,570	49.75	5.24	43.56	5.04	17.81	3.31
11	Other professional specialty occs	9: Hispanic	155,338	51.10	3.56	43.12	3.42	25.38	2.72
11	Other professional specialty occs	10: NonHispanic	2,784,086	54.18	1.07	45.66	1.04	21.51	0.77
11	Other professional specialty occs	11: Insured	160,033	39.09	4.01	38.59	4.26	30.24	3.97
11	Other professional specialty occs	12: NonInsured	2,773,613	54.86	1.05	45.97	1.00	21.22	0.74
12	Health technologists/technicians	1: Total	1,854,395	55.33	1.23	42.84	1.12	22.78	1.04
12	Health technologists/technicians	2: Age 18-64	1,830,365	55.58	1.24	43.20	1.13	22.51	1.04
12	Health technologists/technicians	3: 65+	24,030	35.09	8.64	14.96	5.77	43.80	8.81
12	Health technologists/technicians	4: Male	372,386	51.53	3.07	36.66	2.93	17.69	2.17
12	Health technologists/technicians	5: Female	1,482,009	56.29	1.44	44.40	1.27	24.06	1.13
12	Health technologists/technicians	6: White	1,497,406	56.50	1.40	43.54	1.27	21.13	1.11
12	Health technologists/technicians	7: Black	227,595	55.08	2.89	42.18	2.97	32.54	2.52
12	Health technologists/technicians	8: Other	129,394	42.03	5.12	35.88	4.29	24.84	4.21
12	Health technologists/technicians	9: Hispanic	145,419	47.26	3.40	39.33	3.36	31.60	3.87
12	Health technologists/technicians	10: NonHispanic	1,712,556	55.94	1.31	43.06	1.18	22.04	1.07
12	Health technologists/technicians	11: Insured	126,699	53.61	4.25	38.69	4.20	26.48	3.64
12	Health technologists/technicians	12: NonInsured	1,724,116	55.52	1.28	43.22	1.16	22.51	1.05
13	Technologists, technicians except health	1: Total	2,644,043	54.19	1.02	40.37	1.03	23.68	0.84
13	Technologists, technicians except health	2: Age 18-64	2,614,569	54.51	1.02	40.60	1.03	23.56	0.84
13	Technologists, technicians except health	3: 65+	29,473	24.75	8.12	20.08	6.70	34.60	8.12
13	Technologists, technicians except health	4: Male	1,803,099	51.54	1.23	37.35	1.26	22.61	1.05
13	Technologists, technicians except health	5: Female	840,944	59.86	1.71	46.85	1.68	25.98	1.40
13	Technologists, technicians except health	6: White	2,208,613	55.23	1.13	41.51	1.11	22.30	0.85
13	Technologists, technicians except health	7: Black	200,814	52.95	3.13	36.61	3.09	35.00	3.05
13	Technologists, technicians except health	8: Other	234,616	45.41	3.71	32.85	3.46	27.00	3.41
13	Technologists, technicians except health	9: Hispanic	167,733	55.04	3.49	40.49	3.47	29.39	2.84
13	Technologists, technicians except health	10: NonHispanic	2,481,437	54.15	1.06	40.36	1.06	23.34	0.89
13	Technologists, technicians except health	11: Insured	157,971	45.26	4.05	35.22	3.73	29.77	3.66
13	Technologists, technicians except health	12: NonInsured	2,480,944	54.74	1.04	40.70	1.05	23.25	0.87
14	Supervisors and proprietors	1: Total	3,830,633	40.37	0.84	33.67	0.80	24.98	0.80
14	Supervisors and proprietors	2: Age 18-64	3,711,800	40.60	0.86	33.94	0.83	24.42	0.82
14	Supervisors and proprietors	3: 65+	118,832	32.54	4.02	25.03	3.73	42.32	4.44
14	Supervisors and proprietors	4: Male	2,294,757	35.41	1.10	29.01	0.97	23.33	1.07
14	Supervisors and proprietors	5: Female	1,535,876	47.79	1.29	40.66	1.28	27.44	1.18
14	Supervisors and proprietors	6: White	3,378,987	41.00	0.89	34.28	0.86	24.49	0.88
14	Supervisors and proprietors	7: Black	238,639	39.94	2.82	32.19	2.90	27.10	2.45
14	Supervisors and proprietors	8: Other	213,007	30.74	3.58	25.67	3.36	30.43	2.81
14	Supervisors and proprietors	9: Hispanic	270,988	33.56	2.69	27.05	2.23	30.61	2.31
14	Supervisors and proprietors	10: NonHispanic	3,565,711	40.85	0.88	34.15	0.85	24.52	0.83
14	Supervisors and proprietors	11: Insured	459,066	35.09	2.32	34.12	2.33	32.14	2.34
14	Supervisors and proprietors	12: NonInsured	3,365,499	41.12	0.90	33.64	0.87	24.04	0.86
15	Sales representatives, commodities and finance	1: Total	4,215,048	43.88	0.77	36.35	0.74	20.33	0.57
15	Sales representatives, commodities and finance	2: Age 18-64	4,029,335	44.92	0.79	37.07	0.75	19.91	0.58
15	Sales representatives, commodities and finance	3: 65+	185,712	21.37	2.64	20.78	3.04	29.51	3.23
15	Sales representatives, commodities and finance	4: Male	2,642,285	38.79	0.95	31.90	0.86	19.44	0.81
15	Sales representatives, commodities and finance	5: Female	1,572,763	52.46	1.33	43.84	1.27	21.83	1.00
15	Sales representatives, commodities and finance	6: White	3,837,926	44.03	0.82	36.55	0.81	19.54	0.59
15	Sales representatives, commodities and finance	7: Black	216,802	42.21	3.33	32.62	3.11	27.48	2.79
15	Sales representatives, commodities and finance	8: Other	160,320	42.60	4.27	36.72	4.49	29.69	4.12
15	Sales representatives, commodities and finance	9: Hispanic	257,240	45.12	2.92	37.50	2.61	23.68	2.45
15	Sales representatives, commodities and finance	10: NonHispanic	3,967,497	43.83	0.82	36.25	0.79	20.10	0.58
15	Sales representatives, commodities and finance	11: Insured	367,472	40.19	2.65	36.52	2.56	29.56	2.19
15	Sales representatives, commodities and finance	12: NonInsured	3,837,886	44.21	0.83	36.37	0.78	19.47	0.59
16	Other sales	1: Total	6,148,028	45.34	0.71	38.47	0.68	30.58	0.63
16	Other sales	2: Age 18-64	5,846,276	45.91	0.74	39.00	0.71	29.95	0.65
16	Other sales	3: 65+	301,753	34.23	2.58	28.09	2.79	42.80	2.56
16	Other sales	4: Male	2,348,348	40.01	1.17	32.70	1.09	25.49	0.95
16	Other sales	5: Female	3,799,680	48.65	0.87	42.05	0.84	33.72	0.80
16	Other sales	6: White	4,979,200	46.11	0.77	39.65	0.77	29.71	0.70
16	Other sales	7: Black	725,994	43.95	1.89	34.32	1.79	35.15	1.91
16	Other sales	8: Other	442,834	38.89	2.72	31.85	2.50	32.78	2.28
16	Other sales	9: Hispanic	718,532	38.35	1.70	30.86	1.37	35.07	1.63
16	Other sales	10: NonHispanic	5,450,164	46.23	0.77	39.41	0.75	29.96	0.68
16	Other sales	11: Insured	1,407,864	43.04	1.46	36.81	1.43	34.83	1.35
16	Other sales	12: NonInsured	4,719,497	46.05	0.82	39.03	0.77	29.33	0.74
17	Computer equipment operators	1: Total	377,953	54.60	2.75	40.00	2.97	29.14	2.51
17	Computer equipment operators	2: Age 18-64	377,155	54.72	2.76	40.08	2.97	29.21	2.52
17	Computer equipment operators	3: 65+	798	0.00	0.00	0.00	0.00	0.00	0.00
17	Computer equipment operators	4: Male	173,689	46.35	4.37	33.02	4.06	23.82	4.03
17	Computer equipment operators	5: Female	204,263	61.57	3.29	45.85	3.74	33.68	3.21
17	Computer equipment operators	6: White	288,817	59.35	2.98	44.51	3.45	30.45	3.05
17	Computer equipment operators	7: Black	56,913	43.28	6.50	27.70	5.11	27.80	4.50
17	Computer equipment operators	8: Other	32,223	29.98	9.27	19.85	8.03	19.85	7.63
17	Computer equipment operators	9: Hispanic	24,212	47.13	8.55	36.66	7.78	12.00	4.18
17	Computer equipment operators	10: NonHispanic	353,741	55.12	2.87	40.23	3.11	30.32	2.67
17	Computer equipment operators	11: Insured	21,895	64.70	10.21	31.71	9.32	33.86	10.36
17	Computer equipment operators	12: NonInsured	356,058	53.97	2.85	40.51	3.06	28.85	2.60
18	Secretaries, stenographers and typists	1: Total	2,661,059	54.54	0.96	43.42	1.04	27.93	0.92
18	Secretaries, stenographers and typists	2: Age 18-64	2,557,207	55.25	1.01	44.12	1.09	27.26	0.96
18	Secretaries, stenographers and typists	3: 65+	103,852	37.30	4.61	26.38	4.23	44.48	3.75
18	Secretaries, stenographers and typists	4: Male	58,321	49.59	7.28	34.70	7.03	19.83	5.48
18	Secretaries, stenographers and typists	5: Female	2,602,738	54.65	0.96	43.62	1.06	28.12	0.93
18	Secretaries, stenographers and typists	6: White	2,330,958	54.28	1.06	43.42	1.14	27.01	0.96
18	Secretaries, stenographers and typists	7: Black	236,394	58.57	2.53	44.87	2.82	36.98	2.87
18	Secretaries, stenographers and typists	8: Other	93,707	50.85	4.98	39.62	3.98	28.18	3.99
18	Secretaries, stenographers and typists	9: Hispanic	206,355	50.80	2.94	44.77	3.43	29.43	2.89
18	Secretaries, stenographers and typists	10: NonHispanic	2,461,770	54.90	1.03	43.39	1.10	27.85	0.96
18	Secretaries, stenographers and typists	11: Insured	199,851	44.73	3.65	42.78	3.70	34.12	3.12
18	Secretaries, stenographers and typists	12: NonInsured	2,454,143	55.29	0.99	43.39	1.09	27.39	0.94
19	Financial records processing occs	1: Total	2,091,637	52.20	1.13	42.63	1.13	27.99	0.98
19	Financial records processing occs	2: Age 18-64	1,990,383	53.10	1.16	43.15	1.15	27.54	1.02
19	Financial records processing occs	3: 65+	101,254	34.58	4.47	32.46	4.01	36.73	4.17
19	Financial records processing occs	4: Male	213,438	44.43	3.73	35.91	3.44	33.54	3.32
19	Financial records processing occs	5: Female	1,878,199	53.08	1.19	43.38	1.21	27.36	1.00
19	Financial records processing occs	6: White	1,764,073	52.29	1.18	43.33	1.21	27.51	1.00
19	Financial records processing occs	7: Black	201,674	58.90	3.92	43.61	3.55	31.95	3.48
19	Financial records processing occs	8: Other	125,890	39.83	4.54	31.00	4.20	28.26	4.56
19	Financial records processing occs	9: Hispanic	159,988	54.68	3.58	40.40	3.83	33.77	3.16
19	Financial records processing occs	10: NonHispanic	1,932,602	51.99	1.21	42.84	1.19	27.54	1.02
19	Financial records processing occs	11: Insured	166,143	44.68	3.85	40.80	4.07	34.80	3.82
19	Financial records processing occs	12: NonInsured	1,924,542	52.85	1.16	42.76	1.17	27.36	1.00
20	Mail and message distributing	1: Total	882,798	54.99	1.73	36.66	1.82	30.52	1.74
20	Mail and message distributing	2: Age 18-64	850,683	55.96	1.74	37.19	1.81	30.29	1.79
20	Mail and message distributing	3: 65+	32,115	29.11	9.80	22.50	8.98	36.54	8.59
20	Mail and message distributing	4: Male	512,254	55.50	2.18	32.37	2.22	30.24	2.20
20	Mail and message distributing	5: Female	370,544	54.29	2.76	42.53	2.64	30.90	2.57
20	Mail and message distributing	6: White	634,538	56.85	2.02	38.36	2.10	28.34	2.02
20	Mail and message distributing	7: Black	193,811	52.98	3.89	34.98	3.84	37.92	3.52
20	Mail and message distributing	8: Other	54,448	40.07	6.13	22.83	5.75	29.54	6.95
20	Mail and message distributing	9: Hispanic	77,509	55.58	4.67	36.94	5.09	35.62	4.92
20	Mail and message distributing	10: NonHispanic	805,289	54.93	1.88	36.64	1.96	30.02	1.81
20	Mail and message distributing	11: Insured	82,670	45.83	5.77	30.49	5.41	32.55	5.55
20	Mail and message distributing	12: NonInsured	800,128	55.92	1.86	37.29	1.92	30.31	1.83
21	Other administrative support	1: Total	11,301,244	55.60	0.50	44.00	0.51	28.39	0.44
21	Other administrative support	2: Age 18-64	10,984,469	56.18	0.51	44.48	0.52	27.97	0.45
21	Other administrative support	3: 65+	316,775	35.54	2.61	27.31	2.37	43.23	2.48
21	Other administrative support	4: Male	2,982,023	48.06	1.07	37.29	0.96	27.22	0.86
21	Other administrative support	5: Female	8,319,220	58.31	0.57	46.41	0.58	28.82	0.53
21	Other administrative support	6: White	9,084,729	56.21	0.57	44.64	0.59	27.15	0.52
21	Other administrative support	7: Black	1,621,060	54.38	1.09	42.36	1.12	33.41	1.13
21	Other administrative support	8: Other	595,454	49.61	2.07	38.61	2.15	33.69	1.89
21	Other administrative support	9: Hispanic	1,179,444	47.95	1.21	35.89	1.26	33.05	1.32
21	Other administrative support	10: NonHispanic	10,147,873	56.53	0.53	44.99	0.54	27.92	0.48
21	Other administrative support	11: Insured	1,118,149	49.16	1.71	40.97	1.67	34.64	1.57
21	Other administrative support	12: NonInsured	10,157,021	56.28	0.50	44.30	0.52	27.64	0.46
22	Private household occs	1: Total	684,973	31.03	1.81	30.72	1.82	40.48	1.81
22	Private household occs	2: Age 18-64	628,368	32.07	1.97	31.82	1.88	39.64	1.94
22	Private household occs	3: 65+	56,605	19.39	4.14	18.39	4.98	49.90	5.44
22	Private household occs	4: Male	35,450	16.98	7.59	29.72	8.35	33.52	8.07
22	Private household occs	5: Female	649,523	31.81	1.86	30.77	1.82	40.86	1.84
22	Private household occs	6: White	525,066	31.41	2.22	32.82	2.10	38.54	2.04
22	Private household occs	7: Black	85,868	27.51	3.86	24.84	4.38	52.52	4.51
22	Private household occs	8: Other	74,039	32.44	5.32	22.58	5.11	40.26	4.82
22	Private household occs	9: Hispanic	227,933	26.03	2.79	21.20	2.47	45.15	2.84
22	Private household occs	10: NonHispanic	460,875	33.96	2.46	35.20	2.43	37.94	2.39
22	Private household occs	11: Insured	310,784	30.18	2.55	28.07	2.27	43.92	2.45
22	Private household occs	12: NonInsured	370,353	31.18	2.43	33.27	2.66	37.86	2.65
23	Police and firefighters	1: Total	1,434,652	53.37	1.57	37.79	1.45	19.16	1.16
23	Police and firefighters	2: Age 18-64	1,421,759	53.74	1.57	38.02	1.47	18.94	1.16
23	Police and firefighters	3: 65+	12,893	13.92	7.91	12.84	8.71	43.98	12.68
23	Police and firefighters	4: Male	1,215,816	52.30	1.71	36.06	1.57	18.36	1.30
23	Police and firefighters	5: Female	218,836	59.40	3.25	47.53	3.02	23.64	2.81
23	Police and firefighters	6: White	1,145,924	54.70	1.80	40.22	1.64	18.12	1.32
23	Police and firefighters	7: Black	228,841	48.00	3.36	30.07	3.07	25.62	2.90
23	Police and firefighters	8: Other	59,887	48.00	5.87	20.53	4.92	14.53	4.27
23	Police and firefighters	9: Hispanic	117,106	54.06	3.83	32.77	3.57	18.04	3.04
23	Police and firefighters	10: NonHispanic	1,318,392	53.28	1.67	38.21	1.51	19.25	1.22
23	Police and firefighters	11: Insured	26,864	41.39	9.64	42.66	10.13	21.68	7.78
23	Police and firefighters	12: NonInsured	1,406,942	53.64	1.59	37.72	1.48	19.13	1.16
24	Other protective service occs	1: Total	966,500	38.58	1.77	28.15	1.60	34.54	1.52
24	Other protective service occs	2: Age 18-64	878,910	39.87	1.89	29.01	1.72	33.23	1.59
24	Other protective service occs	3: 65+	87,590	25.67	5.28	19.61	5.22	47.62	4.94
24	Other protective service occs	4: Male	701,420	35.72	1.98	25.53	1.87	32.47	1.84
24	Other protective service occs	5: Female	265,080	46.18	3.18	35.23	2.82	40.00	2.93
24	Other protective service occs	6: White	647,619	39.83	2.04	31.19	1.96	34.52	1.89
24	Other protective service occs	7: Black	229,388	37.72	3.00	22.12	2.85	37.27	2.96
24	Other protective service occs	8: Other	89,492	31.81	6.44	21.69	4.84	27.63	4.91
24	Other protective service occs	9: Hispanic	112,822	41.28	4.45	28.72	3.83	39.58	4.54
24	Other protective service occs	10: NonHispanic	856,326	38.10	1.90	27.99	1.72	34.01	1.63
24	Other protective service occs	11: Insured	200,638	35.35	3.81	27.64	3.22	34.34	3.31
24	Other protective service occs	12: NonInsured	763,214	39.56	2.02	28.38	1.78	34.43	1.67
25	Food service	1: Total	5,356,422	42.82	0.81	36.48	0.69	33.73	0.69
25	Food service	2: Age 18-64	5,232,116	43.19	0.83	36.97	0.70	33.40	0.69
25	Food service	3: 65+	124,306	27.04	3.43	15.68	3.12	47.81	4.13
25	Food service	4: Male	2,194,925	37.56	1.32	29.53	1.10	30.29	1.13
25	Food service	5: Female	3,161,497	46.48	0.98	41.30	0.88	36.12	0.87
25	Food service	6: White	4,241,603	44.25	0.91	38.42	0.80	32.53	0.75
25	Food service	7: Black	654,741	40.34	1.85	31.57	1.83	40.87	2.02
25	Food service	8: Other	460,078	33.08	2.59	25.44	2.24	34.64	2.42
25	Food service	9: Hispanic	967,015	30.98	1.47	22.49	1.16	35.02	1.47
25	Food service	10: NonHispanic	4,417,558	45.46	0.90	39.51	0.78	33.49	0.78
25	Food service	11: Insured	2,081,417	38.90	1.20	33.27	1.12	36.52	1.17
25	Food service	12: NonInsured	3,246,854	45.27	1.00	38.57	0.85	31.89	0.83
26	Health service	1: Total	2,634,186	52.53	0.94	41.73	0.98	41.86	0.99
26	Health service	2: Age 18-64	2,553,668	53.25	0.97	42.38	1.01	41.55	1.00
26	Health service	3: 65+	80,519	29.47	3.98	20.97	3.62	51.98	4.83
26	Health service	4: Male	285,018	46.89	3.13	36.17	2.79	35.33	3.02
26	Health service	5: Female	2,349,169	53.22	1.01	42.40	1.05	42.66	1.03
26	Health service	6: White	1,715,089	56.09	1.22	45.33	1.26	41.32	1.25
26	Health service	7: Black	761,656	46.87	1.46	35.62	1.67	43.09	1.77
26	Health service	8: Other	157,442	40.28	3.63	31.66	3.99	41.87	4.24
26	Health service	9: Hispanic	285,511	41.03	2.34	34.16	2.26	48.68	2.21
26	Health service	10: NonHispanic	2,355,811	53.88	1.02	42.64	1.07	40.96	1.10
26	Health service	11: Insured	642,148	47.85	2.01	40.98	1.87	46.38	1.82
26	Health service	12: NonInsured	1,984,902	54.10	1.07	41.97	1.10	40.49	1.23
27	Cleaning and building service	1: Total	3,085,111	41.13	0.93	30.41	0.86	41.40	0.90
27	Cleaning and building service	2: Age 18-64	2,940,785	42.09	0.95	31.28	0.90	40.79	0.94
27	Cleaning and building service	3: 65+	144,326	21.91	3.25	12.88	2.74	53.83	3.82
27	Cleaning and building service	4: Male	1,659,903	41.70	1.33	28.73	1.22	39.59	1.28
27	Cleaning and building service	5: Female	1,425,208	40.47	1.30	32.38	1.13	43.51	1.32
27	Cleaning and building service	6: White	2,216,690	40.66	1.11	30.29	0.98	38.94	1.04
27	Cleaning and building service	7: Black	613,988	43.24	2.13	31.00	2.20	47.52	1.99
27	Cleaning and building service	8: Other	254,433	40.23	4.01	30.02	3.47	48.11	3.26
27	Cleaning and building service	9: Hispanic	725,768	30.96	1.53	22.16	1.29	41.41	1.60
27	Cleaning and building service	10: NonHispanic	2,368,094	44.28	1.12	32.95	1.05	41.29	1.08
27	Cleaning and building service	11: Insured	831,244	33.75	1.71	27.02	1.55	44.54	1.71
27	Cleaning and building service	12: NonInsured	2,245,116	43.86	1.09	31.66	1.03	40.36	1.08
28	Personal service	1: Total	2,745,870	42.35	1.00	37.96	0.90	31.07	0.87
28	Personal service	2: Age 18-64	2,616,350	43.10	1.04	38.79	0.93	30.43	0.92
28	Personal service	3: 65+	129,520	26.64	3.42	21.16	3.06	44.01	3.51
28	Personal service	4: Male	483,799	40.43	2.38	33.82	2.34	30.08	2.07
28	Personal service	5: Female	2,262,071	42.76	1.05	38.85	0.98	31.28	0.97
28	Personal service	6: White	2,134,954	44.18	1.16	39.56	1.02	29.80	1.06
28	Personal service	7: Black	405,942	34.24	2.22	31.07	2.22	36.86	2.13
28	Personal service	8: Other	204,974	39.19	3.73	34.80	3.57	32.84	3.90
28	Personal service	9: Hispanic	313,525	34.80	2.68	32.56	2.22	37.59	2.31
28	Personal service	10: NonHispanic	2,444,346	43.31	1.06	38.70	0.96	30.20	0.95
28	Personal service	11: Insured	608,196	39.10	1.99	36.01	1.79	36.73	1.97
28	Personal service	12: NonInsured	2,125,674	43.28	1.14	38.46	1.04	29.50	0.99
29	Farm operators and managers	1: Total	855,724	24.15	1.35	21.22	1.39	32.62	1.65
29	Farm operators and managers	2: Age 18-64	733,628	24.43	1.52	21.80	1.53	29.83	1.74
29	Farm operators and managers	3: 65+	122,096	22.45	3.54	17.74	2.93	49.41	4.20
29	Farm operators and managers	4: Male	714,004	25.07	1.61	20.95	1.56	32.61	1.83
29	Farm operators and managers	5: Female	141,720	19.50	3.02	22.55	3.39	32.71	3.77
29	Farm operators and managers	6: White	834,418	24.04	1.37	21.04	1.39	32.64	1.68
29	Farm operators and managers	7: Black	9,655	37.71	16.82	26.08	15.21	32.26	14.82
29	Farm operators and managers	8: Other	11,651	22.07	13.04	29.86	13.63	32.05	12.48
29	Farm operators and managers	9: Hispanic	31,522	17.64	5.15	17.66	5.66	41.99	7.63
29	Farm operators and managers	10: NonHispanic	826,019	24.34	1.40	21.31	1.41	32.19	1.70
29	Farm operators and managers	11: Insured	128,177	21.21	3.85	21.33	3.76	44.20	4.50
29	Farm operators and managers	12: NonInsured	725,730	24.73	1.48	21.25	1.40	30.66	1.73
30	Farm workers and other agricultural workers	1: Total	1,974,101	32.50	1.20	25.82	1.12	33.66	1.08
30	Farm workers and other agricultural workers	2: Age 18-64	1,901,840	32.93	1.22	26.13	1.15	33.16	1.11
30	Farm workers and other agricultural workers	3: 65+	72,262	21.15	4.40	17.64	3.57	46.80	4.60
30	Farm workers and other agricultural workers	4: Male	1,606,826	31.99	1.31	23.82	1.18	32.85	1.26
30	Farm workers and other agricultural workers	5: Female	367,276	34.77	2.74	34.54	2.75	37.18	2.47
30	Farm workers and other agricultural workers	6: White	1,719,589	33.06	1.30	26.58	1.22	32.82	1.17
30	Farm workers and other agricultural workers	7: Black	122,334	35.40	4.37	27.09	3.78	41.39	3.69
30	Farm workers and other agricultural workers	8: Other	132,178	22.37	3.81	14.79	2.86	37.39	4.80
30	Farm workers and other agricultural workers	9: Hispanic	719,479	20.75	1.22	14.34	1.09	41.52	1.74
30	Farm workers and other agricultural workers	10: NonHispanic	1,265,309	39.26	1.65	32.38	1.51	29.34	1.29
30	Farm workers and other agricultural workers	11: Insured	847,115	27.69	1.56	20.30	1.47	39.81	1.89
30	Farm workers and other agricultural workers	12: NonInsured	1,116,300	35.99	1.65	29.90	1.45	28.81	1.36
31	Forestry and fishing occs	1: Total	148,887	30.80	3.34	26.36	4.09	30.68	4.24
31	Forestry and fishing occs	2: Age 18-64	139,210	31.69	3.28	26.64	4.26	28.31	4.35
31	Forestry and fishing occs	3: 65+	9,677	18.06	15.95	22.30	18.60	64.77	16.96
31	Forestry and fishing occs	4: Male	143,549	30.20	3.41	26.24	4.13	31.12	4.43
31	Forestry and fishing occs	5: Female	5,338	46.76	15.71	29.50	14.37	18.75	16.12
31	Forestry and fishing occs	6: White	132,443	31.78	3.36	27.78	4.30	30.88	4.75
31	Forestry and fishing occs	7: Black	9,753	30.33	12.82	17.35	11.23	45.33	12.47
31	Forestry and fishing occs	8: Other	6,691	8.96	10.20	8.96	10.20	5.30	5.96
31	Forestry and fishing occs	9: Hispanic	7,494	14.10	9.35	24.65	14.21	17.94	9.97
31	Forestry and fishing occs	10: NonHispanic	141,987	31.56	3.51	26.34	4.27	31.23	4.33
31	Forestry and fishing occs	11: Insured	65,906	31.91	6.36	28.54	6.45	33.49	6.07
31	Forestry and fishing occs	12: NonInsured	82,388	30.13	5.02	24.79	5.03	28.65	5.35
32	Mechanics and repairers	1: Total	4,667,434	44.52	0.82	33.02	0.78	29.83	0.75
32	Mechanics and repairers	2: Age 18-64	4,581,648	44.86	0.83	33.26	0.79	29.49	0.75
32	Mechanics and repairers	3: 65+	85,786	26.25	4.29	20.18	3.72	47.78	4.69
32	Mechanics and repairers	4: Male	4,462,079	44.06	0.84	32.80	0.81	29.79	0.77
32	Mechanics and repairers	5: Female	205,355	54.52	3.46	37.74	3.13	30.57	2.86
32	Mechanics and repairers	6: White	4,050,909	44.41	0.90	33.28	0.85	29.14	0.79
32	Mechanics and repairers	7: Black	383,084	46.69	2.70	33.14	2.20	32.69	2.36
32	Mechanics and repairers	8: Other	233,441	42.88	4.06	28.23	3.36	37.03	3.57
32	Mechanics and repairers	9: Hispanic	515,988	35.77	2.00	24.18	1.63	32.95	1.79
32	Mechanics and repairers	10: NonHispanic	4,166,621	45.58	0.89	34.09	0.86	29.60	0.82
32	Mechanics and repairers	11: Insured	733,109	38.92	1.80	31.07	1.75	34.98	1.81
32	Mechanics and repairers	12: NonInsured	3,919,150	45.59	0.90	33.40	0.87	28.69	0.79
33	Construction and extractive trades	1: Total	5,789,709	39.42	0.73	29.82	0.69	29.00	0.66
33	Construction and extractive trades	2: Age 18-64	5,696,198	39.61	0.74	29.91	0.70	28.73	0.67
33	Construction and extractive trades	3: 65+	93,511	27.26	4.90	24.37	4.54	45.75	4.54
33	Construction and extractive trades	4: Male	5,639,346	39.48	0.74	29.76	0.70	28.92	0.67
33	Construction and extractive trades	5: Female	150,363	37.19	4.17	31.97	3.98	32.02	4.08
33	Construction and extractive trades	6: White	5,115,390	40.04	0.76	30.22	0.74	28.14	0.69
33	Construction and extractive trades	7: Black	411,605	35.82	2.18	26.63	1.92	33.79	2.29
33	Construction and extractive trades	8: Other	262,715	32.87	3.37	26.93	2.90	38.18	3.46
33	Construction and extractive trades	9: Hispanic	1,003,022	27.68	1.47	18.99	1.18	32.06	1.17
33	Construction and extractive trades	10: NonHispanic	4,801,909	41.84	0.83	32.04	0.79	28.35	0.77
33	Construction and extractive trades	11: Insured	2,006,984	36.62	1.17	28.06	1.09	34.37	1.12
33	Construction and extractive trades	12: NonInsured	3,767,504	40.93	0.88	30.81	0.81	26.17	0.83
34	Precision production occs	1: Total	3,394,969	45.63	0.91	32.16	0.89	33.14	0.89
34	Precision production occs	2: Age 18-64	3,324,072	46.13	0.92	32.47	0.90	32.77	0.90
34	Precision production occs	3: 65+	70,897	22.08	4.79	17.71	4.41	50.16	6.32
34	Precision production occs	4: Male	2,585,316	43.86	1.04	30.55	0.98	31.07	0.98
34	Precision production occs	5: Female	809,653	51.29	1.82	37.30	1.63	39.75	1.77
34	Precision production occs	6: White	2,879,413	46.41	1.01	32.76	1.03	32.09	0.93
34	Precision production occs	7: Black	289,030	43.26	2.68	31.70	2.70	40.79	2.80
34	Precision production occs	8: Other	226,526	38.74	3.52	25.18	3.07	36.69	3.25
34	Precision production occs	9: Hispanic	491,713	38.83	2.18	23.07	1.82	37.16	1.92
34	Precision production occs	10: NonHispanic	2,909,893	46.71	0.98	33.66	0.97	32.54	0.98
34	Precision production occs	11: Insured	407,136	39.69	2.59	24.08	2.04	41.58	2.63
34	Precision production occs	12: NonInsured	2,981,196	46.50	0.98	33.29	0.93	31.90	0.93
35	Machine operators/tenderers, except precision	1: Total	4,379,879	44.74	0.85	31.18	0.76	37.88	0.79
35	Machine operators/tenderers, except precision	2: Age 18-64	4,309,430	44.89	0.87	31.31	0.77	37.56	0.80
35	Machine operators/tenderers, except precision	3: 65+	70,449	35.44	4.94	23.42	4.92	57.17	5.88
35	Machine operators/tenderers, except precision	4: Male	2,902,278	42.30	1.03	28.79	0.93	34.42	0.92
35	Machine operators/tenderers, except precision	5: Female	1,477,601	49.54	1.39	35.86	1.29	44.67	1.32
35	Machine operators/tenderers, except precision	6: White	3,443,953	45.95	0.98	32.07	0.83	36.57	0.90
35	Machine operators/tenderers, except precision	7: Black	590,026	41.88	2.04	29.14	2.03	42.40	2.03
35	Machine operators/tenderers, except precision	8: Other	345,900	37.46	2.64	25.85	2.23	43.18	2.47
35	Machine operators/tenderers, except precision	9: Hispanic	866,962	33.76	1.51	24.41	1.01	41.96	1.39
35	Machine operators/tenderers, except precision	10: NonHispanic	3,521,342	47.51	0.93	32.85	0.87	36.82	0.91
35	Machine operators/tenderers, except precision	11: Insured	781,745	39.07	1.92	27.50	1.62	41.20	1.76
35	Machine operators/tenderers, except precision	12: NonInsured	3,589,710	45.90	0.91	31.97	0.81	37.21	0.90
36	Fabricators, assemblers, inspectors, samplers	1: Total	2,637,020	46.43	1.03	33.93	1.06	37.88	1.07
36	Fabricators, assemblers, inspectors, samplers	2: Age 18-64	2,597,262	46.65	1.05	34.20	1.08	37.78	1.08
36	Fabricators, assemblers, inspectors, samplers	3: 65+	39,759	31.99	6.66	16.06	4.41	44.53	7.35
36	Fabricators, assemblers, inspectors, samplers	4: Male	1,643,523	44.45	1.32	31.50	1.31	35.70	1.33
36	Fabricators, assemblers, inspectors, samplers	5: Female	993,498	49.70	1.70	37.95	1.50	41.50	1.69
36	Fabricators, assemblers, inspectors, samplers	6: White	2,112,843	47.20	1.15	34.80	1.17	37.03	1.20
36	Fabricators, assemblers, inspectors, samplers	7: Black	334,775	46.71	2.56	31.02	2.49	41.39	2.87
36	Fabricators, assemblers, inspectors, samplers	8: Other	189,403	37.25	3.68	29.30	3.36	41.24	4.29
36	Fabricators, assemblers, inspectors, samplers	9: Hispanic	432,799	33.83	2.03	24.06	1.80	42.96	1.98
36	Fabricators, assemblers, inspectors, samplers	10: NonHispanic	2,207,098	48.83	1.20	35.80	1.23	36.90	1.18
36	Fabricators, assemblers, inspectors, samplers	11: Insured	445,952	43.02	2.69	33.42	2.51	43.67	2.62
36	Fabricators, assemblers, inspectors, samplers	12: NonInsured	2,188,192	47.18	1.11	34.07	1.15	36.69	1.15
37	Motor vehicle operators	1: Total	3,999,166	38.34	0.85	27.84	0.76	36.31	0.81
37	Motor vehicle operators	2: Age 18-64	3,780,717	38.77	0.88	28.13	0.78	35.27	0.84
37	Motor vehicle operators	3: 65+	218,449	31.04	3.22	22.77	2.93	54.37	3.43
37	Motor vehicle operators	4: Male	3,494,219	36.69	0.90	26.02	0.81	35.98	0.88
37	Motor vehicle operators	5: Female	504,947	49.86	2.17	40.43	2.06	38.64	2.06
37	Motor vehicle operators	6: White	3,213,525	38.82	0.97	28.16	0.87	35.67	0.92
37	Motor vehicle operators	7: Black	590,334	37.35	2.06	26.64	2.10	38.36	1.96
37	Motor vehicle operators	8: Other	195,307	33.42	3.49	26.15	3.26	40.73	3.72
37	Motor vehicle operators	9: Hispanic	513,539	32.68	1.80	24.53	1.83	36.02	1.88
37	Motor vehicle operators	10: NonHispanic	3,503,546	39.07	0.95	28.21	0.84	36.38	0.89
37	Motor vehicle operators	11: Insured	866,479	33.31	1.70	26.39	1.57	41.02	1.79
37	Motor vehicle operators	12: NonInsured	3,114,768	39.84	0.94	28.37	0.88	34.97	0.91
38	Other transportation, except motor vehicles	1: Total	189,086	35.07	4.25	26.22	3.54	30.42	3.52
38	Other transportation, except motor vehicles	2: Age 18-64	187,947	35.29	4.27	26.06	3.57	30.60	3.54
38	Other transportation, except motor vehicles	3: 65+	1,139	0.00	0.00	51.94	35.30	0.00	0.00
38	Other transportation, except motor vehicles	4: Male	185,665	34.88	4.27	26.26	3.62	30.85	3.60
38	Other transportation, except motor vehicles	5: Female	3,421	45.45	21.13	24.18	15.96	6.78	6.92
38	Other transportation, except motor vehicles	6: White	159,092	30.91	4.44	26.49	3.86	29.64	4.00
38	Other transportation, except motor vehicles	7: Black	25,474	53.54	14.00	29.55	9.42	33.45	6.55
38	Other transportation, except motor vehicles	8: Other	4,520	78.20	22.71	0.00	0.00	40.52	16.18
38	Other transportation, except motor vehicles	9: Hispanic	5,131	62.12	26.77	35.84	23.32	41.54	17.83
38	Other transportation, except motor vehicles	10: NonHispanic	183,955	34.32	4.24	25.95	3.54	30.11	3.67
38	Other transportation, except motor vehicles	11: Insured	9,121	12.55	12.30	28.33	17.28	13.59	12.03
38	Other transportation, except motor vehicles	12: NonInsured	179,964	36.22	4.27	26.11	3.58	31.27	3.71
39	Material moving equipment operators	1: Total	1,172,950	44.73	1.75	29.97	1.57	33.62	1.52
39	Material moving equipment operators	2: Age 18-64	1,155,222	44.95	1.74	30.03	1.58	33.21	1.55
39	Material moving equipment operators	3: 65+	17,727	30.09	10.71	26.00	10.08	60.10	10.79
39	Material moving equipment operators	4: Male	1,096,890	44.25	1.80	29.64	1.59	32.99	1.61
39	Material moving equipment operators	5: Female	76,060	51.75	5.48	34.71	5.09	42.69	5.33
39	Material moving equipment operators	6: White	951,892	45.31	1.92	31.06	1.79	33.05	1.71
39	Material moving equipment operators	7: Black	164,771	44.45	4.72	24.78	3.71	39.64	3.95
39	Material moving equipment operators	8: Other	56,287	35.69	6.54	26.64	6.10	25.60	4.68
39	Material moving equipment operators	9: Hispanic	174,838	34.46	3.81	19.85	2.61	30.20	3.16
39	Material moving equipment operators	10: NonHispanic	1,004,282	46.60	1.91	31.56	1.78	34.35	1.74
39	Material moving equipment operators	11: Insured	177,839	37.79	4.03	23.74	3.45	36.09	3.77
39	Material moving equipment operators	12: NonInsured	988,941	45.89	1.91	31.29	1.71	33.04	1.65
40	Construction laborers	1: Total	1,053,405	34.57	1.52	25.49	1.36	33.22	1.50
40	Construction laborers	2: Age 18-64	1,027,307	34.92	1.54	25.83	1.39	32.80	1.51
40	Construction laborers	3: 65+	26,098	20.61	8.12	12.35	5.70	49.76	12.33
40	Construction laborers	4: Male	1,028,414	34.55	1.54	25.44	1.38	33.20	1.53
40	Construction laborers	5: Female	24,992	35.36	8.78	27.58	7.39	34.12	9.25
40	Construction laborers	6: White	880,941	34.82	1.58	25.90	1.52	32.86	1.67
40	Construction laborers	7: Black	98,498	39.55	6.15	26.75	5.29	39.08	4.70
40	Construction laborers	8: Other	73,966	24.94	5.12	18.90	4.71	29.67	5.28
40	Construction laborers	9: Hispanic	324,820	23.96	2.52	17.15	2.06	32.57	2.69
40	Construction laborers	10: NonHispanic	729,999	39.31	1.82	29.19	1.66	33.51	1.86
40	Construction laborers	11: Insured	503,450	33.71	2.17	26.70	1.93	35.75	2.14
40	Construction laborers	12: NonInsured	548,542	35.45	2.32	24.46	1.99	30.88	1.99
41	Freight, stock, material handlers	1: Total	3,835,038	45.16	0.95	32.70	0.88	34.61	0.95
41	Freight, stock, material handlers	2: Age 18-64	3,730,237	45.70	0.95	32.99	0.91	34.10	0.97
41	Freight, stock, material handlers	3: 65+	104,801	26.06	4.17	22.61	3.74	52.96	4.65
41	Freight, stock, material handlers	4: Male	2,925,560	43.64	1.11	31.86	1.04	32.94	1.08
41	Freight, stock, material handlers	5: Female	909,478	50.00	1.66	35.41	1.57	39.99	1.67
41	Freight, stock, material handlers	6: White	2,906,709	45.56	1.06	33.65	1.02	34.07	1.07
41	Freight, stock, material handlers	7: Black	649,806	44.63	2.32	29.87	1.89	34.90	1.99
41	Freight, stock, material handlers	8: Other	278,523	42.12	3.40	29.40	3.18	39.58	3.36
41	Freight, stock, material handlers	9: Hispanic	738,737	34.93	1.84	22.28	1.44	39.05	1.91
41	Freight, stock, material handlers	10: NonHispanic	3,118,377	47.47	1.07	35.11	1.00	33.54	1.05
41	Freight, stock, material handlers	11: Insured	975,153	39.04	1.79	28.65	1.61	39.24	1.84
41	Freight, stock, material handlers	12: NonInsured	2,837,809	47.35	1.09	34.15	1.02	33.05	1.01