Table 3. Overall Prevalence (%) of Major Illness by 41 Occupations
	Occupation 13 Classes	Group	Population Estimates	Estimated Prevalence of High Blood Pressure	Standard Error of High Blood Pressure	Estimated Prevalence of Heart Disease	Standard Error of Heart Disease	Estimated Prevalence of Stroke	Standard Error of Stroke	Estimated Prevalence of Emphysema	Standard Error of Emphysema	Estimated Prevalence of Asthma	Standard Error of Asthma	Estimated Prevalence of Cancer	Standard Error of Cancer	Estimated Prevalence of Diabetes	Standard Error of Diabetes
	All Workers	1: Total	126,637,408	16.88	0.13	6.52	0.08	0.61	0.02	0.51	0.02	9.21	0.09	3.86	0.06	4.22	0.06
0	All Occupations	1: Total	126,637,408	16.88	0.13	6.52	0.08	0.61	0.02	0.51	0.02	9.21	0.09	3.86	0.06	4.22	0.06
0	All Occupations	2: Age 18-64	122,737,590	15.95	0.13	6.00	0.08	0.50	0.02	0.43	0.02	9.28	0.10	3.45	0.06	3.92	0.06
0	All Occupations	3: 65+	3,899,818	46.26	0.80	22.75	0.60	3.76	0.28	3.00	0.26	6.93	0.38	16.68	0.59	13.59	0.52
0	All Occupations	4: Male	68,137,945	17.40	0.18	6.43	0.11	0.65	0.03	0.60	0.03	7.93	0.12	2.99	0.07	4.41	0.09
0	All Occupations	5: Female	58,499,463	16.27	0.17	6.62	0.11	0.55	0.03	0.41	0.03	10.69	0.14	4.87	0.09	4.00	0.08
0	All Occupations	6: White	105,181,902	16.39	0.14	6.88	0.09	0.61	0.02	0.57	0.02	9.28	0.10	4.31	0.07	3.96	0.07
0	All Occupations	7: Black	13,785,259	22.99	0.35	5.25	0.20	0.63	0.06	0.23	0.04	9.42	0.27	1.73	0.11	5.92	0.19
0	All Occupations	8: Other	7,670,246	12.61	0.38	3.91	0.26	0.51	0.09	0.21	0.05	7.82	0.35	1.43	0.14	4.74	0.30
0	All Occupations	9: Hispanic	14,025,436	11.55	0.26	3.60	0.14	0.40	0.04	0.16	0.03	6.77	0.22	1.25	0.08	4.47	0.15
0	All Occupations	10: NonHispanic	112,926,553	17.53	0.14	6.87	0.09	0.63	0.02	0.55	0.02	9.52	0.10	4.17	0.06	4.19	0.07
0	All Occupations	11: Insured	19,245,636	11.97	0.26	4.75	0.15	0.56	0.06	0.44	0.05	8.77	0.22	2.15	0.11	3.34	0.14
0	All Occupations	12: NonInsured	107,077,190	17.77	0.14	6.85	0.09	0.61	0.02	0.52	0.02	9.28	0.10	4.17	0.07	4.38	0.07
1	Officials and administrators public admin	1: Total	776,174	24.13	1.69	6.96	0.90	0.55	0.21	0.50	0.25	9.59	1.05	7.36	0.90	6.17	1.03
1	Officials and administrators public admin	2: Age 18-64	744,718	23.26	1.69	6.72	0.92	0.52	0.21	0.34	0.19	9.99	1.09	7.34	0.93	5.87	1.02
1	Officials and administrators public admin	3: 65+	31,456	44.85	8.00	12.56	5.06	1.15	1.12	4.21	4.09	0.00	0.00	7.69	4.41	13.16	5.07
1	Officials and administrators public admin	4: Male	405,511	25.90	2.59	7.81	1.37	0.22	0.16	0.73	0.45	7.85	1.55	7.41	1.35	6.85	1.65
1	Officials and administrators public admin	5: Female	370,663	22.20	2.11	6.02	1.16	0.90	0.40	0.24	0.17	11.49	1.50	7.31	1.21	5.42	1.22
1	Officials and administrators public admin	6: White	638,419	22.44	1.75	6.74	1.00	0.61	0.24	0.61	0.30	9.66	1.12	8.09	1.06	5.16	0.95
1	Officials and administrators public admin	7: Black	111,728	34.69	4.77	9.02	1.98	0.35	0.34	0.00	0.00	8.04	2.56	4.74	1.73	9.97	3.95
1	Officials and administrators public admin	8: Other	26,026	20.35	7.42	3.34	3.32	0.00	0.00	0.00	0.00	14.50	7.44	0.72	0.74	14.65	7.13
1	Officials and administrators public admin	9: Hispanic	40,711	29.18	8.55	3.18	2.25	0.00	0.00	0.00	0.00	8.42	4.59	2.22	1.83	13.98	8.63
1	Officials and administrators public admin	10: NonHispanic	735,463	23.85	1.70	7.16	0.94	0.58	0.22	0.53	0.26	9.65	1.08	7.64	0.94	5.73	0.90
1	Officials and administrators public admin	11: Insured	20,178	17.59	9.74	14.62	9.51	0.00	0.00	0.00	0.00	2.41	2.57	8.27	6.29	0.00	0.00
1	Officials and administrators public admin	12: NonInsured	755,995	24.31	1.70	6.75	0.88	0.56	0.21	0.51	0.25	9.78	1.07	7.33	0.91	6.33	1.06
2	Managers administrators, except public administration	1: Total	12,437,864	17.91	0.38	7.23	0.26	0.59	0.07	0.55	0.06	9.28	0.27	4.48	0.20	3.92	0.19
2	Managers administrators, except public administration	2: Age 18-64	12,083,442	17.09	0.38	6.74	0.25	0.50	0.07	0.46	0.06	9.38	0.27	3.99	0.20	3.70	0.17
2	Managers administrators, except public administration	3: 65+	354,423	45.53	2.64	23.80	2.31	3.81	1.12	3.42	1.01	6.08	1.16	21.06	2.10	11.38	1.82
2	Managers administrators, except public administration	4: Male	7,343,889	19.66	0.50	7.11	0.35	0.68	0.11	0.62	0.09	8.31	0.34	3.99	0.26	4.33	0.27
2	Managers administrators, except public administration	5: Female	5,093,975	15.37	0.48	7.39	0.39	0.46	0.08	0.44	0.09	10.69	0.44	5.18	0.29	3.32	0.24
2	Managers administrators, except public administration	6: White	11,039,374	17.38	0.39	7.38	0.27	0.60	0.08	0.60	0.07	9.12	0.29	4.78	0.22	3.72	0.20
2	Managers administrators, except public administration	7: Black	830,874	25.80	1.33	6.65	0.86	0.47	0.16	0.08	0.06	11.68	1.10	2.41	0.45	5.71	0.73
2	Managers administrators, except public administration	8: Other	567,616	16.55	1.83	5.10	0.91	0.67	0.38	0.15	0.11	8.92	1.23	1.58	0.51	5.08	0.85
2	Managers administrators, except public administration	9: Hispanic	811,227	14.05	1.02	4.03	0.58	0.14	0.06	0.13	0.07	9.20	0.98	1.48	0.35	4.85	0.69
2	Managers administrators, except public administration	10: NonHispanic	11,649,337	18.18	0.40	7.44	0.27	0.62	0.08	0.58	0.07	9.28	0.27	4.68	0.21	3.85	0.19
2	Managers administrators, except public administration	11: Insured	1,023,363	15.06	1.19	5.77	0.74	0.58	0.22	0.34	0.16	7.58	0.76	2.58	0.42	3.25	0.54
2	Managers administrators, except public administration	12: NonInsured	11,391,801	18.16	0.40	7.37	0.27	0.59	0.08	0.57	0.07	9.44	0.29	4.66	0.21	3.99	0.19
3	Management related occs	1: Total	5,102,148	16.77	0.56	6.61	0.33	0.55	0.11	0.41	0.08	8.84	0.42	4.55	0.31	3.89	0.28
3	Management related occs	2: Age 18-64	4,953,432	15.77	0.57	5.98	0.32	0.38	0.09	0.24	0.07	8.92	0.43	4.18	0.29	3.65	0.27
3	Management related occs	3: 65+	148,715	50.35	4.07	27.79	3.72	6.35	2.02	6.19	2.04	6.15	1.72	16.82	3.54	11.76	2.60
3	Management related occs	4: Male	2,152,795	19.37	0.96	7.84	0.59	0.86	0.21	0.73	0.17	7.98	0.55	3.77	0.46	5.34	0.53
3	Management related occs	5: Female	2,949,352	14.88	0.72	5.72	0.41	0.33	0.11	0.18	0.08	9.47	0.56	5.12	0.41	2.82	0.30
3	Management related occs	6: White	4,341,991	16.71	0.60	6.89	0.38	0.63	0.13	0.47	0.09	8.95	0.46	4.98	0.35	3.63	0.30
3	Management related occs	7: Black	498,592	20.60	1.64	5.67	0.82	0.05	0.05	0.12	0.02	9.70	1.14	2.54	0.74	5.89	0.94
3	Management related occs	8: Other	261,565	10.49	1.92	3.87	1.07	0.30	0.23	0.00	0.00	5.41	1.28	1.23	0.63	4.28	1.26
3	Management related occs	9: Hispanic	312,738	13.42	1.60	4.74	0.83	0.07	0.07	0.00	0.00	10.74	1.54	1.30	0.51	4.20	1.08
3	Management related occs	10: NonHispanic	4,795,776	16.97	0.57	6.73	0.35	0.59	0.12	0.44	0.08	8.72	0.43	4.75	0.33	3.86	0.29
3	Management related occs	11: Insured	255,560	13.44	1.91	5.06	1.52	1.10	0.58	0.45	0.44	10.23	1.80	3.86	1.08	3.87	1.19
3	Management related occs	12: NonInsured	4,840,221	16.97	0.58	6.71	0.35	0.53	0.11	0.41	0.08	8.77	0.44	4.59	0.32	3.89	0.29
4	Engineers	1: Total	1,982,478	16.57	1.03	6.39	0.58	0.33	0.13	0.45	0.15	7.89	0.71	4.20	0.47	3.34	0.41
4	Engineers	2: Age 18-64	1,950,940	15.98	1.02	6.20	0.58	0.24	0.12	0.35	0.13	7.86	0.71	3.97	0.45	3.17	0.41
4	Engineers	3: 65+	31,538	53.28	7.94	18.16	7.05	5.72	3.99	6.41	4.30	9.89	4.99	18.72	5.98	14.30	6.17
4	Engineers	4: Male	1,779,772	17.35	1.11	6.40	0.62	0.31	0.14	0.50	0.16	7.47	0.73	4.13	0.50	3.59	0.46
4	Engineers	5: Female	202,706	9.70	1.94	6.34	1.66	0.44	0.44	0.00	0.00	11.55	2.18	4.85	1.58	1.19	0.71
4	Engineers	6: White	1,702,866	17.25	1.13	6.64	0.66	0.32	0.14	0.39	0.14	7.77	0.75	4.58	0.52	3.15	0.44
4	Engineers	7: Black	91,001	15.18	4.22	5.64	2.15	0.00	0.00	0.00	0.00	6.24	2.43	1.82	1.47	1.96	1.08
4	Engineers	8: Other	188,611	11.04	2.41	4.52	1.63	0.59	0.58	1.14	0.79	9.73	2.45	1.91	1.17	5.76	1.92
4	Engineers	9: Hispanic	102,356	6.64	2.08	3.20	1.83	0.65	0.65	0.65	0.65	6.58	2.04	1.58	0.92	1.44	0.96
4	Engineers	10: NonHispanic	1,883,148	17.08	1.07	6.55	0.61	0.31	0.13	0.44	0.15	7.94	0.74	4.34	0.49	3.44	0.43
4	Engineers	11: Insured	39,702	10.58	5.14	7.05	4.98	0.00	0.00	0.00	0.00	8.03	4.56	2.11	1.51	6.70	5.04
4	Engineers	12: NonInsured	1,939,750	16.72	1.04	6.39	0.58	0.33	0.13	0.46	0.15	7.90	0.72	4.25	0.48	3.28	0.41
5	Architects and surveyors	1: Total	227,354	11.18	2.15	5.33	1.51	0.84	0.83	0.00	0.00	10.63	1.97	4.25	1.30	3.21	1.19
5	Architects and surveyors	2: Age 18-64	217,892	9.87	2.05	4.88	1.51	0.88	0.87	0.00	0.00	10.84	2.03	3.32	1.11	3.35	1.24
5	Architects and surveyors	3: 65+	9,462	41.46	16.99	15.82	10.50	0.00	0.00	0.00	0.00	5.75	5.73	25.66	15.61	0.00	0.00
5	Architects and surveyors	4: Male	188,176	12.00	2.53	6.16	1.76	1.01	1.01	0.00	0.00	11.29	2.34	4.86	1.56	3.60	1.41
5	Architects and surveyors	5: Female	39,178	7.27	4.16	1.34	1.34	0.00	0.00	0.00	0.00	7.45	3.36	1.31	1.27	1.34	1.34
5	Architects and surveyors	6: White	199,031	11.46	2.33	6.09	1.70	0.96	0.95	0.00	0.00	10.80	2.18	4.17	1.41	2.38	1.11
5	Architects and surveyors	7: Black	11,522	13.34	9.55	0.00	0.00	0.00	0.00	0.00	0.00	2.96	3.01	11.83	8.54	10.67	7.09
5	Architects and surveyors	8: Other	16,801	6.45	6.28	0.00	0.00	0.00	0.00	0.00	0.00	13.87	7.32	0.00	0.00	8.02	7.68
5	Architects and surveyors	9: Hispanic	13,861	6.04	4.35	7.20	4.95	0.00	0.00	0.00	0.00	15.40	8.64	2.67	2.74	7.43	7.04
5	Architects and surveyors	10: NonHispanic	213,494	11.52	2.24	5.21	1.56	0.89	0.89	0.00	0.00	10.32	2.08	4.35	1.37	2.94	1.16
5	Architects and surveyors	11: Insured	10,680	4.13	4.17	0.00	0.00	0.00	0.00	0.00	0.00	27.35	16.56	0.00	0.00	2.47	2.53
5	Architects and surveyors	12: NonInsured	216,674	11.53	2.25	5.59	1.58	0.88	0.88	0.00	0.00	9.81	1.83	4.46	1.37	3.25	1.24
6	Natural mathematical/computer scientists	1: Total	2,631,818	14.32	0.78	6.21	0.48	0.29	0.12	0.18	0.08	9.34	0.60	2.95	0.32	2.84	0.35
6	Natural mathematical/computer scientists	2: Age 18-64	2,608,499	14.20	0.78	6.00	0.47	0.29	0.12	0.18	0.09	9.40	0.59	2.88	0.32	2.82	0.35
6	Natural mathematical/computer scientists	3: 65+	23,319	28.51	8.49	29.26	9.03	0.00	0.00	0.00	0.00	2.96	3.09	10.20	5.10	5.19	3.60
6	Natural mathematical/computer scientists	4: Male	1,837,242	15.60	0.95	5.81	0.56	0.30	0.16	0.12	0.07	8.54	0.77	2.73	0.39	3.31	0.46
6	Natural mathematical/computer scientists	5: Female	794,577	11.38	1.08	7.13	0.90	0.27	0.17	0.32	0.23	11.21	1.02	3.45	0.62	1.76	0.44
6	Natural mathematical/computer scientists	6: White	2,077,747	14.82	0.86	6.81	0.56	0.26	0.11	0.19	0.10	9.92	0.67	3.32	0.37	2.64	0.36
6	Natural mathematical/computer scientists	7: Black	169,254	19.88	3.16	4.41	0.97	1.35	1.33	0.00	0.00	9.03	1.96	3.58	1.38	3.90	1.29
6	Natural mathematical/computer scientists	8: Other	384,817	9.17	1.54	3.74	1.07	0.00	0.00	0.19	0.19	6.37	1.42	0.65	0.52	3.44	1.22
6	Natural mathematical/computer scientists	9: Hispanic	116,875	13.30	3.00	2.75	1.09	0.00	0.00	0.00	0.00	10.23	2.51	1.09	0.55	3.37	1.75
6	Natural mathematical/computer scientists	10: NonHispanic	2,522,171	14.38	0.81	6.35	0.49	0.30	0.13	0.19	0.09	9.34	0.62	3.02	0.34	2.81	0.35
6	Natural mathematical/computer scientists	11: Insured	102,890	7.81	2.13	3.63	1.55	0.61	0.61	0.00	0.00	12.49	4.08	2.03	0.99	1.69	1.11
6	Natural mathematical/computer scientists	12: NonInsured	2,521,701	14.57	0.81	6.33	0.50	0.28	0.12	0.19	0.09	9.18	0.58	2.99	0.34	2.90	0.36
7	Health diagnosing occs	1: Total	1,056,918	12.34	1.15	6.09	0.68	0.23	0.14	0.05	0.05	7.90	0.97	4.57	0.64	1.29	0.34
7	Health diagnosing occs	2: Age 18-64	996,820	10.52	1.12	4.95	0.66	0.11	0.11	0.00	0.00	7.74	0.97	3.61	0.60	0.78	0.27
7	Health diagnosing occs	3: 65+	60,098	42.61	6.34	24.98	5.72	2.22	1.55	0.82	0.82	10.53	4.04	20.55	5.41	9.80	3.85
7	Health diagnosing occs	4: Male	761,612	13.95	1.43	6.40	0.79	0.17	0.13	0.06	0.07	6.87	1.11	4.87	0.78	1.57	0.45
7	Health diagnosing occs	5: Female	295,306	8.20	1.45	5.30	1.42	0.38	0.37	0.00	0.00	10.54	1.78	3.81	1.13	0.56	0.37
7	Health diagnosing occs	6: White	884,072	13.04	1.27	6.46	0.77	0.28	0.17	0.06	0.06	8.09	1.06	4.92	0.72	1.03	0.33
7	Health diagnosing occs	7: Black	40,194	16.26	4.64	4.91	2.61	0.00	0.00	0.00	0.00	11.56	4.49	0.00	0.00	0.76	0.77
7	Health diagnosing occs	8: Other	132,652	6.55	2.72	4.01	1.59	0.00	0.00	0.00	0.00	5.49	2.28	3.67	1.85	3.17	1.51
7	Health diagnosing occs	9: Hispanic	52,276	5.62	2.72	4.69	2.55	0.00	0.00	0.00	0.00	5.22	2.88	0.00	0.00	1.23	0.97
7	Health diagnosing occs	10: NonHispanic	1,006,155	12.67	1.19	6.16	0.70	0.24	0.15	0.05	0.05	8.03	1.00	4.80	0.67	1.29	0.35
7	Health diagnosing occs	11: Insured	35,448	3.02	2.20	7.33	3.84	0.00	0.00	0.00	0.00	8.45	4.13	3.03	2.13	0.00	0.00
7	Health diagnosing occs	12: NonInsured	1,019,957	12.69	1.18	6.06	0.69	0.24	0.14	0.05	0.05	7.89	0.99	4.63	0.66	1.34	0.35
8	Health assessment/treating occs	1: Total	3,317,369	16.38	0.67	7.37	0.44	0.42	0.12	0.31	0.08	9.90	0.54	5.09	0.39	3.58	0.31
8	Health assessment/treating occs	2: Age 18-64	3,255,118	15.73	0.67	7.13	0.43	0.29	0.10	0.30	0.08	10.05	0.55	4.79	0.38	3.28	0.30
8	Health assessment/treating occs	3: 65+	62,251	50.11	6.18	19.59	4.73	7.08	3.59	0.80	0.80	2.35	1.92	20.46	5.15	19.26	4.82
8	Health assessment/treating occs	4: Male	431,252	20.74	2.08	6.10	1.18	0.65	0.40	0.07	0.07	6.77	1.44	4.84	1.04	3.53	0.91
8	Health assessment/treating occs	5: Female	2,886,117	15.73	0.72	7.55	0.48	0.39	0.12	0.35	0.09	10.37	0.57	5.12	0.41	3.59	0.33
8	Health assessment/treating occs	6: White	2,816,883	15.51	0.73	8.05	0.51	0.48	0.14	0.33	0.10	10.26	0.58	5.82	0.46	3.07	0.32
8	Health assessment/treating occs	7: Black	317,114	24.73	2.22	3.99	1.04	0.00	0.00	0.36	0.22	8.81	1.39	1.25	0.50	7.24	1.48
8	Health assessment/treating occs	8: Other	183,372	15.25	2.72	2.73	1.01	0.17	0.17	0.00	0.00	6.28	1.80	0.43	0.43	5.16	1.66
8	Health assessment/treating occs	9: Hispanic	117,973	15.79	3.00	8.25	2.25	0.00	0.00	0.00	0.00	9.77	2.27	3.47	1.38	9.05	2.46
8	Health assessment/treating occs	10: NonHispanic	3,204,237	16.42	0.69	7.32	0.45	0.43	0.12	0.32	0.09	9.89	0.55	5.14	0.40	3.41	0.30
8	Health assessment/treating occs	11: Insured	129,391	15.28	2.75	4.23	1.46	1.90	1.37	0.00	0.00	6.59	1.93	6.76	2.15	4.34	1.51
8	Health assessment/treating occs	12: NonInsured	3,183,137	16.41	0.69	7.50	0.46	0.36	0.11	0.33	0.09	10.05	0.55	5.03	0.40	3.52	0.32
9	Teachers, librarians, counselors	1: Total	6,858,940	15.39	0.47	6.83	0.32	0.32	0.08	0.18	0.05	10.98	0.39	5.53	0.29	3.66	0.23
9	Teachers, librarians, counselors	2: Age 18-64	6,689,891	14.85	0.47	6.44	0.32	0.28	0.08	0.16	0.05	11.06	0.41	5.07	0.28	3.49	0.22
9	Teachers, librarians, counselors	3: 65+	169,049	36.58	3.56	22.60	2.82	2.02	0.96	0.86	0.65	7.89	1.82	23.84	2.95	10.43	2.27
9	Teachers, librarians, counselors	4: Male	2,159,643	18.09	0.90	6.61	0.56	0.47	0.23	0.18	0.08	9.12	0.66	5.16	0.54	4.10	0.44
9	Teachers, librarians, counselors	5: Female	4,699,297	14.14	0.48	6.94	0.39	0.25	0.06	0.18	0.06	11.83	0.46	5.70	0.33	3.46	0.27
9	Teachers, librarians, counselors	6: White	5,958,578	14.80	0.51	7.04	0.35	0.33	0.10	0.18	0.05	11.12	0.43	6.14	0.32	3.30	0.23
9	Teachers, librarians, counselors	7: Black	624,957	23.69	1.55	6.17	0.90	0.21	0.09	0.11	0.11	9.51	1.01	1.29	0.39	6.73	0.91
9	Teachers, librarians, counselors	8: Other	275,405	9.26	1.64	3.81	1.07	0.29	0.29	0.29	0.29	11.32	1.96	2.01	0.60	4.51	1.34
9	Teachers, librarians, counselors	9: Hispanic	358,343	12.16	1.56	4.65	0.88	0.79	0.42	0.60	0.31	12.43	1.42	2.42	0.61	4.51	0.98
9	Teachers, librarians, counselors	10: NonHispanic	6,506,357	15.55	0.48	6.95	0.33	0.29	0.09	0.16	0.05	10.89	0.41	5.73	0.30	3.61	0.23
9	Teachers, librarians, counselors	11: Insured	363,539	10.11	1.63	6.31	1.24	0.34	0.20	0.56	0.30	13.64	1.98	3.42	0.98	3.18	0.85
9	Teachers, librarians, counselors	12: NonInsured	6,489,641	15.70	0.46	6.87	0.33	0.32	0.09	0.16	0.05	10.84	0.40	5.63	0.29	3.69	0.23
10	Writers, artists, entertainers, athletes	1: Total	2,297,894	13.12	0.73	6.23	0.49	0.38	0.11	0.42	0.13	10.31	0.63	4.47	0.38	3.05	0.36
10	Writers, artists, entertainers, athletes	2: Age 18-64	2,206,491	11.89	0.68	5.56	0.48	0.26	0.10	0.24	0.09	10.35	0.64	3.74	0.36	2.62	0.35
10	Writers, artists, entertainers, athletes	3: 65+	91,404	42.86	4.99	22.30	4.60	3.10	1.48	4.77	2.36	9.52	2.86	22.11	4.37	13.31	3.08
10	Writers, artists, entertainers, athletes	4: Male	1,181,889	14.74	1.12	5.83	0.69	0.52	0.19	0.47	0.21	8.58	0.81	3.77	0.55	2.79	0.46
10	Writers, artists, entertainers, athletes	5: Female	1,116,006	11.41	0.90	6.64	0.66	0.23	0.10	0.36	0.14	12.15	0.92	5.22	0.60	3.33	0.55
10	Writers, artists, entertainers, athletes	6: White	2,036,237	13.33	0.77	6.40	0.53	0.43	0.13	0.34	0.11	9.87	0.60	4.86	0.43	3.15	0.40
10	Writers, artists, entertainers, athletes	7: Black	157,189	14.63	2.89	5.10	1.58	0.00	0.00	1.12	1.12	14.64	3.27	0.82	0.53	2.29	0.95
10	Writers, artists, entertainers, athletes	8: Other	104,468	6.71	2.30	4.51	2.10	0.00	0.00	0.92	0.92	12.54	3.55	2.45	1.25	2.24	1.21
10	Writers, artists, entertainers, athletes	9: Hispanic	160,597	7.89	1.80	4.60	1.60	0.61	0.48	0.00	0.00	9.01	2.00	2.21	1.00	3.16	1.19
10	Writers, artists, entertainers, athletes	10: NonHispanic	2,145,954	13.46	0.77	6.34	0.52	0.36	0.12	0.45	0.14	10.41	0.65	4.62	0.40	3.04	0.38
10	Writers, artists, entertainers, athletes	11: Insured	347,616	7.04	1.22	4.77	1.02	0.00	0.00	0.21	0.15	10.56	1.78	2.42	0.57	1.27	0.66
10	Writers, artists, entertainers, athletes	12: NonInsured	1,941,621	14.27	0.84	6.50	0.56	0.45	0.13	0.46	0.15	10.27	0.66	4.86	0.44	3.36	0.41
11	Other professional specialty occs	1: Total	2,936,535	19.29	0.75	8.68	0.53	0.67	0.15	0.26	0.08	11.13	0.62	5.11	0.45	4.99	0.41
11	Other professional specialty occs	2: Age 18-64	2,801,432	18.52	0.77	7.40	0.52	0.52	0.15	0.25	0.08	11.34	0.64	4.36	0.43	4.68	0.41
11	Other professional specialty occs	3: 65+	135,104	35.39	3.66	35.29	3.67	3.59	1.18	0.52	0.37	6.79	1.96	20.76	3.05	11.56	2.35
11	Other professional specialty occs	4: Male	1,491,569	22.44	1.23	10.82	0.85	0.98	0.27	0.19	0.07	10.49	1.03	5.17	0.64	6.17	0.70
11	Other professional specialty occs	5: Female	1,444,967	16.05	0.91	6.47	0.63	0.34	0.11	0.33	0.14	11.79	0.82	5.05	0.57	3.78	0.48
11	Other professional specialty occs	6: White	2,453,397	18.49	0.83	9.46	0.61	0.72	0.18	0.21	0.08	10.79	0.67	5.63	0.53	4.53	0.41
11	Other professional specialty occs	7: Black	353,568	27.52	1.90	4.99	1.18	0.51	0.23	0.57	0.32	12.49	1.69	2.67	0.89	9.12	1.59
11	Other professional specialty occs	8: Other	129,570	12.00	2.70	3.97	1.60	0.00	0.00	0.34	0.34	13.80	4.26	2.01	1.34	2.53	1.56
11	Other professional specialty occs	9: Hispanic	155,338	15.61	2.23	5.40	1.21	0.77	0.63	0.00	0.00	14.63	2.91	1.21	0.58	7.04	1.80
11	Other professional specialty occs	10: NonHispanic	2,784,086	19.54	0.77	8.89	0.56	0.66	0.15	0.28	0.08	10.92	0.64	5.32	0.48	4.89	0.43
11	Other professional specialty occs	11: Insured	160,033	15.79	2.61	8.78	2.65	1.22	0.96	0.60	0.60	13.71	3.01	3.68	1.45	4.13	1.34
11	Other professional specialty occs	12: NonInsured	2,773,613	19.45	0.78	8.64	0.55	0.63	0.15	0.24	0.07	10.99	0.62	5.20	0.48	5.03	0.43
12	Health technologists/technicians	1: Total	1,854,395	14.96	0.83	7.06	0.61	0.29	0.12	0.15	0.08	11.50	0.77	4.01	0.43	3.92	0.44
12	Health technologists/technicians	2: Age 18-64	1,830,365	14.54	0.83	6.85	0.62	0.26	0.12	0.15	0.08	11.53	0.78	3.82	0.43	3.73	0.44
12	Health technologists/technicians	3: 65+	24,030	47.06	8.84	23.00	7.46	2.29	2.27	0.00	0.00	9.90	5.87	18.20	6.47	18.86	6.13
12	Health technologists/technicians	4: Male	372,386	12.28	1.96	5.35	1.21	0.30	0.30	0.30	0.30	7.29	1.42	2.63	0.89	3.40	0.91
12	Health technologists/technicians	5: Female	1,482,009	15.63	0.91	7.49	0.69	0.28	0.13	0.11	0.07	12.56	0.88	4.36	0.49	4.05	0.52
12	Health technologists/technicians	6: White	1,497,406	14.04	0.90	7.09	0.69	0.24	0.12	0.18	0.10	12.25	0.89	4.57	0.53	3.23	0.47
12	Health technologists/technicians	7: Black	227,595	22.25	2.53	8.35	1.58	0.73	0.54	0.00	0.00	8.65	1.84	1.55	0.62	8.74	1.66
12	Health technologists/technicians	8: Other	129,394	12.84	3.38	4.42	1.87	0.00	0.00	0.00	0.00	7.88	2.24	1.83	0.95	3.47	1.53
12	Health technologists/technicians	9: Hispanic	145,419	15.26	3.14	5.80	2.26	0.00	0.00	0.00	0.00	9.12	1.90	3.21	1.11	7.43	2.63
12	Health technologists/technicians	10: NonHispanic	1,712,556	14.95	0.84	7.15	0.63	0.31	0.13	0.16	0.09	11.78	0.83	4.07	0.46	3.62	0.43
12	Health technologists/technicians	11: Insured	126,699	15.70	2.79	6.09	2.57	0.00	0.00	0.00	0.00	13.48	2.89	3.58	1.30	5.65	2.60
12	Health technologists/technicians	12: NonInsured	1,724,116	14.88	0.85	7.14	0.62	0.31	0.13	0.16	0.09	11.29	0.80	4.05	0.44	3.80	0.43
13	Technologists, technicians except health	1: Total	2,644,043	13.88	0.68	5.44	0.43	0.54	0.14	0.36	0.12	9.80	0.61	3.56	0.41	3.06	0.34
13	Technologists, technicians except health	2: Age 18-64	2,614,569	13.58	0.68	5.25	0.43	0.53	0.14	0.37	0.12	9.84	0.62	3.51	0.41	3.05	0.34
13	Technologists, technicians except health	3: 65+	29,473	40.94	8.29	22.37	7.19	1.79	1.79	0.00	0.00	5.80	4.21	7.97	4.61	3.54	2.64
13	Technologists, technicians except health	4: Male	1,803,099	15.14	0.89	5.50	0.56	0.43	0.15	0.40	0.16	9.19	0.77	2.85	0.47	2.99	0.43
13	Technologists, technicians except health	5: Female	840,944	11.18	1.05	5.32	0.73	0.77	0.32	0.29	0.15	11.10	0.95	5.10	0.78	3.20	0.55
13	Technologists, technicians except health	6: White	2,208,613	13.67	0.75	5.94	0.49	0.56	0.16	0.36	0.12	10.45	0.70	3.93	0.46	2.60	0.34
13	Technologists, technicians except health	7: Black	200,814	17.64	2.43	4.18	1.11	0.43	0.42	0.77	0.76	6.82	1.54	2.94	1.67	7.47	1.68
13	Technologists, technicians except health	8: Other	234,616	12.67	2.29	1.85	0.78	0.43	0.43	0.00	0.00	6.19	1.66	0.66	0.38	3.52	1.23
13	Technologists, technicians except health	9: Hispanic	167,733	10.10	1.94	4.46	1.36	0.48	0.34	0.28	0.28	9.07	1.93	0.49	0.32	2.13	0.86
13	Technologists, technicians except health	10: NonHispanic	2,481,437	14.13	0.71	5.50	0.46	0.54	0.15	0.37	0.12	9.83	0.65	3.76	0.43	3.11	0.35
13	Technologists, technicians except health	11: Insured	157,971	5.70	1.52	4.42	1.70	0.00	0.00	0.98	0.97	11.94	2.65	5.62	2.25	1.17	0.71
13	Technologists, technicians except health	12: NonInsured	2,480,944	14.41	0.71	5.52	0.44	0.58	0.15	0.32	0.11	9.68	0.63	3.44	0.40	3.18	0.35
14	Supervisors and proprietors	1: Total	3,830,633	16.89	0.65	7.07	0.47	0.49	0.13	0.57	0.12	8.19	0.48	4.20	0.31	3.94	0.36
14	Supervisors and proprietors	2: Age 18-64	3,711,800	16.31	0.63	6.51	0.47	0.45	0.13	0.45	0.10	8.26	0.49	3.60	0.30	3.55	0.35
14	Supervisors and proprietors	3: 65+	118,832	34.96	4.04	24.52	3.91	1.84	1.00	4.25	1.66	6.15	2.13	22.88	3.63	15.95	3.29
14	Supervisors and proprietors	4: Male	2,294,757	18.25	0.90	7.89	0.65	0.59	0.20	0.63	0.16	7.10	0.59	3.85	0.41	4.85	0.53
14	Supervisors and proprietors	5: Female	1,535,876	14.85	0.93	5.86	0.62	0.34	0.14	0.47	0.15	9.83	0.77	4.73	0.52	2.57	0.43
14	Supervisors and proprietors	6: White	3,378,987	16.91	0.69	7.24	0.51	0.46	0.13	0.61	0.13	8.09	0.52	4.46	0.34	3.81	0.38
14	Supervisors and proprietors	7: Black	238,639	16.97	2.56	5.85	1.19	0.18	0.18	0.00	0.00	10.22	1.99	1.85	0.74	4.54	1.56
14	Supervisors and proprietors	8: Other	213,007	16.43	2.79	5.79	1.80	1.31	1.04	0.54	0.54	7.66	1.99	2.83	1.36	5.23	1.77
14	Supervisors and proprietors	9: Hispanic	270,988	13.74	1.93	4.50	1.18	0.43	0.36	0.68	0.39	8.91	1.58	3.01	1.01	5.56	1.30
14	Supervisors and proprietors	10: NonHispanic	3,565,711	17.11	0.68	7.27	0.49	0.50	0.14	0.56	0.12	8.14	0.51	4.29	0.33	3.81	0.38
14	Supervisors and proprietors	11: Insured	459,066	13.63	1.61	6.71	1.07	1.07	0.58	0.47	0.25	9.05	1.33	2.37	0.66	3.90	0.99
14	Supervisors and proprietors	12: NonInsured	3,365,499	17.35	0.72	7.12	0.50	0.41	0.12	0.58	0.13	8.08	0.51	4.46	0.35	3.95	0.39
15	Sales representatives, commodities and finance	1: Total	4,215,048	16.72	0.62	6.54	0.40	0.72	0.15	0.32	0.09	8.56	0.45	4.18	0.30	4.07	0.33
15	Sales representatives, commodities and finance	2: Age 18-64	4,029,335	15.51	0.61	5.65	0.38	0.56	0.14	0.12	0.06	8.66	0.47	3.31	0.29	3.46	0.31
15	Sales representatives, commodities and finance	3: 65+	185,712	42.90	3.30	25.87	3.39	4.21	1.44	4.55	1.59	6.40	1.86	22.94	3.04	17.45	2.87
15	Sales representatives, commodities and finance	4: Male	2,642,285	18.34	0.85	6.92	0.53	0.94	0.22	0.35	0.11	7.99	0.58	3.71	0.37	4.45	0.45
15	Sales representatives, commodities and finance	5: Female	1,572,763	13.99	0.85	5.91	0.55	0.35	0.13	0.27	0.14	9.52	0.70	4.96	0.56	3.43	0.46
15	Sales representatives, commodities and finance	6: White	3,837,926	16.78	0.66	6.61	0.43	0.68	0.15	0.31	0.09	8.65	0.48	4.43	0.32	3.94	0.33
15	Sales representatives, commodities and finance	7: Black	216,802	19.10	2.38	5.52	1.52	1.74	1.13	0.73	0.73	8.84	2.07	2.71	0.98	6.08	1.60
15	Sales representatives, commodities and finance	8: Other	160,320	12.10	2.39	6.28	1.90	0.32	0.31	0.00	0.00	6.20	1.69	0.08	0.08	4.59	1.88
15	Sales representatives, commodities and finance	9: Hispanic	257,240	14.44	2.06	3.85	1.08	1.12	0.94	0.00	0.00	10.70	2.00	1.11	0.63	4.58	1.12
15	Sales representatives, commodities and finance	10: NonHispanic	3,967,497	16.83	0.65	6.70	0.42	0.69	0.14	0.34	0.10	8.40	0.46	4.37	0.31	4.03	0.34
15	Sales representatives, commodities and finance	11: Insured	367,472	15.75	1.81	6.12	1.26	1.28	0.83	0.50	0.37	8.92	1.66	2.24	0.66	5.13	1.17
15	Sales representatives, commodities and finance	12: NonInsured	3,837,886	16.85	0.66	6.60	0.43	0.67	0.14	0.30	0.09	8.55	0.47	4.37	0.31	3.98	0.34
16	Other sales	1: Total	6,148,028	14.41	0.51	6.51	0.34	0.63	0.10	0.47	0.08	10.36	0.43	4.01	0.27	4.19	0.27
16	Other sales	2: Age 18-64	5,846,276	12.64	0.50	5.54	0.33	0.50	0.09	0.37	0.08	10.44	0.45	3.51	0.26	3.78	0.27
16	Other sales	3: 65+	301,753	48.69	2.66	25.45	2.39	3.20	0.98	2.47	0.74	8.81	1.48	13.68	2.07	12.26	1.69
16	Other sales	4: Male	2,348,348	14.72	0.82	6.94	0.58	0.81	0.19	0.40	0.13	9.25	0.78	3.05	0.40	5.16	0.52
16	Other sales	5: Female	3,799,680	14.23	0.61	6.25	0.39	0.52	0.12	0.52	0.11	11.05	0.54	4.60	0.36	3.60	0.31
16	Other sales	6: White	4,979,200	14.59	0.57	7.08	0.41	0.68	0.12	0.55	0.10	10.55	0.47	4.65	0.34	4.47	0.31
16	Other sales	7: Black	725,994	16.13	1.37	4.42	0.70	0.53	0.31	0.15	0.11	10.12	1.11	1.19	0.28	2.94	0.59
16	Other sales	8: Other	442,834	9.58	1.29	3.59	1.00	0.17	0.17	0.17	0.17	8.69	1.35	1.45	0.66	3.18	0.98
16	Other sales	9: Hispanic	718,532	7.95	0.90	3.47	0.77	0.13	0.11	0.02	0.02	10.08	1.21	1.26	0.37	3.85	0.62
16	Other sales	10: NonHispanic	5,450,164	15.25	0.56	6.89	0.37	0.69	0.12	0.53	0.09	10.44	0.45	4.36	0.30	4.26	0.29
16	Other sales	11: Insured	1,407,864	10.36	0.86	4.89	0.57	0.37	0.19	0.19	0.10	10.04	0.89	2.49	0.42	3.08	0.44
16	Other sales	12: NonInsured	4,719,497	15.64	0.58	7.03	0.40	0.71	0.12	0.56	0.11	10.41	0.48	4.48	0.33	4.51	0.34
17	Computer equipment operators	1: Total	377,953	18.68	2.32	5.92	1.46	0.46	0.29	0.28	0.28	8.41	1.48	4.02	1.31	6.09	1.36
17	Computer equipment operators	2: Age 18-64	377,155	18.51	2.32	5.94	1.46	0.24	0.20	0.28	0.28	8.43	1.48	4.03	1.32	6.10	1.36
17	Computer equipment operators	3: 65+	798	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00
17	Computer equipment operators	4: Male	173,689	18.91	3.68	6.32	2.57	0.00	0.00	0.60	0.60	10.43	2.66	3.29	2.38	4.56	1.62
17	Computer equipment operators	5: Female	204,263	18.49	2.77	5.59	1.56	0.84	0.54	0.00	0.00	6.70	1.65	4.65	1.33	7.39	2.04
17	Computer equipment operators	6: White	288,817	18.18	2.64	6.99	1.87	0.28	0.28	0.36	0.36	9.14	1.81	4.57	1.66	7.32	1.71
17	Computer equipment operators	7: Black	56,913	21.90	5.30	3.87	1.80	1.62	1.34	0.00	0.00	8.28	3.23	2.80	1.87	3.28	2.06
17	Computer equipment operators	8: Other	32,223	17.52	8.30	0.00	0.00	0.00	0.00	0.00	0.00	2.11	1.53	1.23	1.24	0.00	0.00
17	Computer equipment operators	9: Hispanic	24,212	5.75	3.53	0.00	0.00	0.00	0.00	0.00	0.00	7.15	4.26	2.88	2.07	2.09	2.08
17	Computer equipment operators	10: NonHispanic	353,741	19.57	2.46	6.33	1.56	0.49	0.31	0.30	0.30	8.50	1.55	4.10	1.41	6.36	1.44
17	Computer equipment operators	11: Insured	21,895	1.73	1.73	4.54	3.27	0.00	0.00	0.00	0.00	4.07	2.81	7.99	5.29	0.00	0.00
17	Computer equipment operators	12: NonInsured	356,058	19.73	2.45	6.01	1.54	0.48	0.31	0.29	0.30	8.68	1.55	3.78	1.36	6.46	1.44
18	Secretaries, stenographers and typists	1: Total	2,661,059	19.05	0.82	7.16	0.50	0.72	0.16	0.27	0.10	10.32	0.65	5.65	0.44	4.69	0.40
18	Secretaries, stenographers and typists	2: Age 18-64	2,557,207	17.92	0.84	6.93	0.50	0.67	0.16	0.15	0.07	10.36	0.64	5.32	0.44	4.55	0.41
18	Secretaries, stenographers and typists	3: 65+	103,852	46.85	4.47	12.83	2.73	1.83	1.19	3.25	1.76	9.34	2.82	13.81	2.88	8.04	1.44
18	Secretaries, stenographers and typists	4: Male	58,321	13.98	4.67	3.65	2.36	0.00	0.00	0.00	0.00	9.22	3.96	4.28	2.96	6.56	2.79
18	Secretaries, stenographers and typists	5: Female	2,602,738	19.16	0.83	7.24	0.51	0.74	0.17	0.27	0.10	10.35	0.66	5.68	0.45	4.65	0.41
18	Secretaries, stenographers and typists	6: White	2,330,958	18.51	0.88	7.37	0.52	0.77	0.18	0.30	0.11	10.27	0.69	6.07	0.48	4.52	0.42
18	Secretaries, stenographers and typists	7: Black	236,394	25.83	2.69	6.98	1.87	0.49	0.35	0.00	0.00	10.95	2.26	2.73	1.38	5.85	1.38
18	Secretaries, stenographers and typists	8: Other	93,707	15.32	3.49	2.36	1.35	0.00	0.00	0.00	0.00	10.05	2.66	2.62	1.29	5.90	1.73
18	Secretaries, stenographers and typists	9: Hispanic	206,355	12.28	1.98	5.22	1.76	0.50	0.40	0.13	0.13	12.30	2.11	2.20	1.41	3.36	0.92
18	Secretaries, stenographers and typists	10: NonHispanic	2,461,770	19.56	0.86	7.30	0.50	0.74	0.17	0.28	0.11	10.17	0.68	5.92	0.46	4.79	0.41
18	Secretaries, stenographers and typists	11: Insured	199,851	13.58	2.35	5.04	1.39	1.42	0.72	1.54	0.87	13.98	2.34	4.18	1.25	5.31	1.54
18	Secretaries, stenographers and typists	12: NonInsured	2,454,143	19.55	0.87	7.35	0.53	0.66	0.17	0.16	0.08	10.02	0.66	5.78	0.48	4.65	0.42
19	Financial records processing occs	1: Total	2,091,637	18.34	0.86	7.41	0.56	0.58	0.16	0.55	0.16	10.43	0.78	5.04	0.47	3.96	0.40
19	Financial records processing occs	2: Age 18-64	1,990,383	16.96	0.89	6.67	0.54	0.47	0.15	0.50	0.16	10.65	0.81	4.47	0.46	3.40	0.39
19	Financial records processing occs	3: 65+	101,254	45.35	4.15	21.89	3.79	2.74	1.46	1.67	1.05	6.12	2.06	16.17	3.25	15.10	3.05
19	Financial records processing occs	4: Male	213,438	20.70	2.92	8.23	2.07	1.17	0.84	0.13	0.13	9.34	2.03	1.70	0.82	5.63	1.49
19	Financial records processing occs	5: Female	1,878,199	18.07	0.87	7.31	0.59	0.51	0.16	0.60	0.17	10.56	0.83	5.42	0.51	3.77	0.41
19	Financial records processing occs	6: White	1,764,073	18.93	0.97	7.72	0.61	0.69	0.19	0.60	0.18	10.66	0.86	5.71	0.54	3.78	0.43
19	Financial records processing occs	7: Black	201,674	18.61	2.44	5.00	1.37	0.00	0.00	0.45	0.32	9.80	2.52	1.21	0.54	4.95	1.37
19	Financial records processing occs	8: Other	125,890	9.53	2.59	6.87	2.64	0.00	0.00	0.00	0.00	8.33	2.23	1.83	0.99	5.00	2.15
19	Financial records processing occs	9: Hispanic	159,988	12.53	1.75	6.48	1.78	0.00	0.00	0.00	0.00	11.14	1.99	2.72	1.00	3.08	0.98
19	Financial records processing occs	10: NonHispanic	1,932,602	18.81	0.93	7.48	0.59	0.63	0.18	0.60	0.17	10.37	0.82	5.23	0.50	4.03	0.43
19	Financial records processing occs	11: Insured	166,143	13.12	2.55	3.60	1.56	0.00	0.00	0.00	0.00	11.92	2.15	3.28	1.21	3.60	1.60
19	Financial records processing occs	12: NonInsured	1,924,542	18.80	0.90	7.74	0.59	0.63	0.18	0.60	0.17	10.31	0.82	5.19	0.50	4.00	0.42
20	Mail and message distributing	1: Total	882,798	20.44	1.34	7.27	1.01	0.52	0.25	0.44	0.20	8.60	1.03	4.55	0.71	5.21	0.80
20	Mail and message distributing	2: Age 18-64	850,683	19.64	1.36	6.56	1.02	0.54	0.26	0.21	0.15	8.68	1.06	3.60	0.67	4.74	0.79
20	Mail and message distributing	3: 65+	32,115	41.64	7.61	26.15	6.28	0.00	0.00	6.58	3.93	6.56	3.50	29.68	7.25	17.73	5.76
20	Mail and message distributing	4: Male	512,254	21.93	1.96	6.97	1.36	0.48	0.34	0.71	0.34	7.52	1.40	3.56	0.89	7.11	1.26
20	Mail and message distributing	5: Female	370,544	18.37	1.91	7.69	1.44	0.57	0.36	0.08	0.08	10.10	1.52	5.92	1.12	2.57	0.72
20	Mail and message distributing	6: White	634,538	19.70	1.59	9.03	1.31	0.67	0.34	0.43	0.22	9.27	1.27	5.86	0.96	4.77	0.92
20	Mail and message distributing	7: Black	193,811	24.71	3.07	3.36	1.34	0.17	0.17	0.60	0.60	6.71	1.98	1.53	0.60	6.95	1.84
20	Mail and message distributing	8: Other	54,448	13.87	4.92	0.71	0.71	0.00	0.00	0.00	0.00	7.49	3.26	0.00	0.00	4.07	2.81
20	Mail and message distributing	9: Hispanic	77,509	11.10	3.33	1.41	0.93	0.00	0.00	0.00	0.00	6.82	2.37	2.92	1.74	1.84	1.29
20	Mail and message distributing	10: NonHispanic	805,289	21.33	1.43	7.84	1.10	0.57	0.27	0.49	0.22	8.77	1.10	4.71	0.76	5.53	0.87
20	Mail and message distributing	11: Insured	82,670	16.94	4.45	8.59	3.24	1.70	1.69	0.00	0.00	13.76	4.27	4.62	2.37	3.51	2.43
20	Mail and message distributing	12: NonInsured	800,128	20.80	1.43	7.14	1.01	0.40	0.21	0.49	0.22	8.07	1.01	4.54	0.74	5.38	0.84
21	Other administrative support	1: Total	11,301,244	16.92	0.39	6.42	0.26	0.54	0.06	0.42	0.06	10.60	0.29	4.30	0.20	4.27	0.19
21	Other administrative support	2: Age 18-64	10,984,469	16.00	0.38	6.05	0.25	0.46	0.05	0.37	0.06	10.69	0.30	3.88	0.20	4.08	0.19
21	Other administrative support	3: 65+	316,775	49.03	2.61	19.26	2.02	3.32	1.06	1.85	0.71	7.51	1.35	18.97	2.27	11.08	1.66
21	Other administrative support	4: Male	2,982,023	16.89	0.73	6.56	0.50	0.48	0.11	0.49	0.12	9.63	0.61	2.84	0.29	4.94	0.42
21	Other administrative support	5: Female	8,319,220	16.93	0.45	6.36	0.29	0.56	0.08	0.39	0.08	10.95	0.35	4.82	0.25	4.03	0.22
21	Other administrative support	6: White	9,084,729	16.70	0.44	6.80	0.29	0.56	0.07	0.49	0.08	10.43	0.34	4.95	0.25	3.97	0.22
21	Other administrative support	7: Black	1,621,060	20.14	0.91	4.91	0.55	0.45	0.12	0.13	0.07	11.07	0.67	1.49	0.26	5.48	0.51
21	Other administrative support	8: Other	595,454	11.53	1.26	4.66	1.16	0.48	0.26	0.07	0.08	11.88	1.36	2.06	0.53	5.61	1.04
21	Other administrative support	9: Hispanic	1,179,444	12.06	0.79	4.73	0.55	0.28	0.09	0.18	0.11	8.70	0.65	2.30	0.43	4.33	0.48
21	Other administrative support	10: NonHispanic	10,147,873	17.45	0.42	6.60	0.28	0.56	0.07	0.44	0.07	10.82	0.32	4.52	0.22	4.26	0.20
21	Other administrative support	11: Insured	1,118,149	10.32	0.90	4.03	0.57	0.41	0.15	0.46	0.18	10.75	0.87	3.02	0.45	3.23	0.49
21	Other administrative support	12: NonInsured	10,157,021	17.68	0.41	6.69	0.28	0.55	0.07	0.41	0.07	10.58	0.31	4.45	0.22	4.40	0.20
22	Private household occs	1: Total	684,973	19.51	1.59	5.70	0.99	1.14	0.33	0.36	0.15	8.77	1.11	4.25	0.67	6.43	0.98
22	Private household occs	2: Age 18-64	628,368	16.44	1.60	5.19	1.00	0.89	0.33	0.17	0.09	9.05	1.19	3.23	0.61	5.67	0.97
22	Private household occs	3: 65+	56,605	53.54	5.18	11.41	3.98	3.89	2.01	2.53	1.45	5.72	2.30	15.50	4.34	14.78	4.32
22	Private household occs	4: Male	35,450	12.38	5.40	9.09	4.89	1.15	1.15	1.48	1.48	11.01	5.33	10.59	6.09	14.08	6.97
22	Private household occs	5: Female	649,523	19.90	1.65	5.51	1.01	1.14	0.35	0.30	0.13	8.65	1.13	3.90	0.62	6.02	0.96
22	Private household occs	6: White	525,066	16.58	1.81	5.68	1.22	1.20	0.40	0.45	0.19	9.36	1.36	5.10	0.86	5.57	1.14
22	Private household occs	7: Black	85,868	40.46	4.84	6.36	2.17	1.77	1.05	0.00	0.00	6.61	1.94	2.20	1.12	16.33	2.98
22	Private household occs	8: Other	74,039	15.95	4.84	5.10	1.14	0.00	0.00	0.20	0.20	7.08	2.44	0.61	0.61	0.97	0.57
22	Private household occs	9: Hispanic	227,933	15.23	2.40	4.11	0.77	0.21	0.16	0.26	0.15	6.96	1.24	1.06	0.45	4.68	1.22
22	Private household occs	10: NonHispanic	460,875	21.87	2.15	6.44	1.42	1.59	0.49	0.41	0.21	9.59	1.52	5.79	0.98	7.32	1.34
22	Private household occs	11: Insured	310,784	15.65	1.94	2.94	0.71	0.62	0.38	0.19	0.11	6.54	1.26	3.89	1.09	6.26	1.24
22	Private household occs	12: NonInsured	370,353	22.44	2.38	8.07	1.78	1.59	0.55	0.51	0.26	10.73	1.83	4.59	0.87	6.52	1.44
23	Police and firefighters	1: Total	1,434,652	17.05	1.06	6.24	0.75	0.43	0.19	0.39	0.23	8.38	0.79	2.10	0.40	3.59	0.56
23	Police and firefighters	2: Age 18-64	1,421,759	16.56	1.05	5.89	0.75	0.31	0.17	0.36	0.23	8.46	0.80	2.03	0.40	3.44	0.56
23	Police and firefighters	3: 65+	12,893	71.80	10.67	45.16	12.66	13.29	9.22	4.20	4.16	0.00	0.00	9.08	8.54	20.15	10.44
23	Police and firefighters	4: Male	1,215,816	17.29	1.16	6.43	0.84	0.45	0.21	0.37	0.26	7.68	0.86	1.98	0.44	3.64	0.61
23	Police and firefighters	5: Female	218,836	15.75	2.52	5.16	1.21	0.32	0.31	0.52	0.52	12.30	2.13	2.76	1.09	3.32	1.26
23	Police and firefighters	6: White	1,145,924	16.02	1.23	6.53	0.87	0.54	0.23	0.49	0.29	8.51	0.88	2.39	0.49	2.90	0.62
23	Police and firefighters	7: Black	228,841	23.48	2.54	4.94	1.67	0.00	0.00	0.00	0.00	7.63	1.72	0.92	0.53	7.30	1.71
23	Police and firefighters	8: Other	59,887	12.36	4.04	5.73	2.77	0.00	0.00	0.00	0.00	8.80	3.36	0.90	0.63	2.67	1.59
23	Police and firefighters	9: Hispanic	117,106	13.44	2.92	4.97	1.99	0.00	0.00	0.00	0.00	5.41	1.71	0.46	0.33	2.58	1.18
23	Police and firefighters	10: NonHispanic	1,318,392	17.36	1.15	6.35	0.79	0.47	0.20	0.42	0.25	8.64	0.83	2.24	0.44	3.68	0.60
23	Police and firefighters	11: Insured	26,864	9.53	4.75	1.64	1.59	2.57	2.56	0.00	0.00	4.52	3.40	0.00	0.00	5.13	3.94
23	Police and firefighters	12: NonInsured	1,406,942	17.21	1.08	6.33	0.76	0.39	0.18	0.40	0.24	8.46	0.81	2.14	0.41	3.56	0.57
24	Other protective service occs	1: Total	966,500	24.18	1.40	8.53	0.94	1.50	0.34	1.39	0.36	9.41	0.90	3.85	0.59	6.61	0.83
24	Other protective service occs	2: Age 18-64	878,910	21.33	1.46	7.75	0.92	1.24	0.34	1.02	0.33	9.76	0.98	3.07	0.56	5.64	0.82
24	Other protective service occs	3: 65+	87,590	52.54	5.73	16.32	3.62	4.09	1.63	5.11	2.12	5.91	2.28	11.68	3.21	16.27	3.73
24	Other protective service occs	4: Male	701,420	24.82	1.66	8.93	1.11	1.15	0.36	1.31	0.41	8.18	1.00	3.36	0.63	6.77	0.90
24	Other protective service occs	5: Female	265,080	22.48	2.84	7.48	1.62	2.42	0.77	1.59	0.70	12.65	1.87	5.15	1.30	6.17	1.87
24	Other protective service occs	6: White	647,619	23.85	1.72	9.54	1.18	1.84	0.47	1.90	0.53	10.85	1.25	4.45	0.79	6.77	1.04
24	Other protective service occs	7: Black	229,388	24.99	3.01	6.89	1.62	1.15	0.51	0.36	0.27	7.09	1.48	3.18	1.00	5.41	1.54
24	Other protective service occs	8: Other	89,492	24.49	6.04	5.39	2.70	0.00	0.00	0.34	0.35	4.92	2.15	1.26	0.99	8.50	2.91
24	Other protective service occs	9: Hispanic	112,822	16.73	3.02	6.68	2.19	2.15	1.54	0.00	0.00	9.88	2.15	0.77	0.40	7.67	1.99
24	Other protective service occs	10: NonHispanic	856,326	25.24	1.52	8.89	1.02	1.50	0.36	1.57	0.40	9.32	0.98	4.24	0.66	6.59	0.91
24	Other protective service occs	11: Insured	200,638	17.88	2.59	6.81	1.52	0.89	0.54	2.36	1.00	9.14	1.92	0.93	0.46	6.63	1.91
24	Other protective service occs	12: NonInsured	763,214	25.73	1.68	8.85	1.10	1.57	0.39	1.14	0.36	9.51	1.04	4.63	0.73	6.46	0.94
25	Food service	1: Total	5,356,422	12.00	0.46	5.06	0.31	0.60	0.11	0.41	0.07	10.77	0.50	2.81	0.21	3.74	0.26
25	Food service	2: Age 18-64	5,232,116	11.10	0.46	4.72	0.30	0.55	0.11	0.33	0.06	10.85	0.51	2.61	0.21	3.55	0.26
25	Food service	3: 65+	124,306	50.05	3.94	19.58	2.98	2.60	1.29	3.83	1.73	7.36	1.88	11.05	2.07	11.80	2.47
25	Food service	4: Male	2,194,925	8.32	0.61	4.07	0.46	0.62	0.16	0.09	0.04	9.74	0.74	0.71	0.18	2.85	0.38
25	Food service	5: Female	3,161,497	14.55	0.63	5.75	0.43	0.58	0.13	0.63	0.12	11.48	0.64	4.27	0.34	4.35	0.34
25	Food service	6: White	4,241,603	10.71	0.50	5.45	0.37	0.53	0.12	0.47	0.09	11.39	0.60	3.21	0.26	3.45	0.27
25	Food service	7: Black	654,741	23.64	1.82	4.30	0.68	1.03	0.37	0.19	0.14	10.30	1.29	1.46	0.42	5.89	0.82
25	Food service	8: Other	460,078	7.30	1.11	2.59	0.62	0.54	0.28	0.11	0.11	5.76	0.97	1.00	0.39	3.38	1.04
25	Food service	9: Hispanic	967,015	6.97	0.62	2.32	0.34	0.19	0.09	0.14	0.10	6.32	0.74	1.24	0.27	3.12	0.51
25	Food service	10: NonHispanic	4,417,558	13.09	0.55	5.63	0.37	0.68	0.13	0.46	0.09	11.76	0.60	3.14	0.25	3.90	0.30
25	Food service	11: Insured	2,081,417	8.39	0.62	4.41	0.46	0.40	0.15	0.30	0.10	11.19	0.76	2.04	0.31	2.51	0.35
25	Food service	12: NonInsured	3,246,854	14.33	0.64	5.52	0.42	0.72	0.14	0.48	0.11	10.47	0.65	3.33	0.29	4.49	0.36
26	Health service	1: Total	2,634,186	22.40	0.85	6.92	0.51	0.99	0.18	0.58	0.15	11.53	0.57	4.05	0.38	7.00	0.53
26	Health service	2: Age 18-64	2,553,668	21.40	0.85	6.51	0.51	0.87	0.18	0.50	0.15	11.62	0.58	3.88	0.39	6.65	0.53
26	Health service	3: 65+	80,519	53.98	4.69	20.04	3.99	4.59	1.84	2.96	1.96	8.89	2.50	9.58	2.41	17.99	3.56
26	Health service	4: Male	285,018	16.84	2.17	6.86	1.45	0.62	0.36	0.52	0.51	8.44	1.57	0.66	0.51	3.82	1.09
26	Health service	5: Female	2,349,169	23.07	0.91	6.93	0.54	1.03	0.21	0.59	0.16	11.91	0.62	4.47	0.42	7.38	0.57
26	Health service	6: White	1,715,089	19.79	1.01	7.71	0.70	0.62	0.15	0.72	0.21	12.19	0.72	5.45	0.54	6.70	0.69
26	Health service	7: Black	761,656	29.37	1.47	5.52	0.66	1.13	0.31	0.38	0.23	10.18	1.06	1.12	0.29	7.25	0.91
26	Health service	8: Other	157,442	17.04	2.87	5.16	1.73	4.31	1.87	0.00	0.00	10.98	2.31	3.04	1.23	9.03	1.98
26	Health service	9: Hispanic	285,511	14.57	1.42	3.98	0.92	0.98	0.37	0.00	0.00	9.56	1.15	2.04	0.63	7.45	1.06
26	Health service	10: NonHispanic	2,355,811	23.28	0.92	7.26	0.56	0.99	0.20	0.65	0.17	11.74	0.63	4.31	0.42	6.92	0.57
26	Health service	11: Insured	642,148	20.70	1.53	5.07	0.80	0.65	0.30	0.00	0.00	12.41	1.28	4.27	0.82	8.13	1.30
26	Health service	12: NonInsured	1,984,902	23.03	0.94	7.55	0.61	1.10	0.23	0.77	0.20	11.29	0.63	3.97	0.43	6.65	0.55
27	Cleaning and building service	1: Total	3,085,111	20.48	0.71	7.93	0.50	1.28	0.18	1.07	0.18	8.95	0.56	3.45	0.34	6.27	0.47
27	Cleaning and building service	2: Age 18-64	2,940,785	19.18	0.70	7.33	0.51	1.00	0.17	1.02	0.18	8.98	0.57	3.18	0.34	5.73	0.47
27	Cleaning and building service	3: 65+	144,326	46.92	4.17	20.17	3.11	6.83	1.99	2.16	1.39	8.17	2.26	8.84	2.78	17.29	2.90
27	Cleaning and building service	4: Male	1,659,903	21.00	1.04	8.11	0.70	1.60	0.31	1.35	0.28	8.78	0.79	2.49	0.41	7.08	0.70
27	Cleaning and building service	5: Female	1,425,208	19.87	0.96	7.72	0.70	0.90	0.23	0.75	0.23	9.14	0.80	4.57	0.58	5.33	0.62
27	Cleaning and building service	6: White	2,216,690	18.74	0.82	8.79	0.67	1.23	0.21	1.42	0.25	9.33	0.64	3.98	0.44	5.77	0.53
27	Cleaning and building service	7: Black	613,988	27.69	1.74	5.96	0.83	0.83	0.36	0.07	0.05	8.09	1.22	2.69	0.60	7.86	1.05
27	Cleaning and building service	8: Other	254,433	18.23	2.90	5.24	1.26	2.77	0.86	0.44	0.32	7.71	1.46	0.62	0.44	6.81	1.84
27	Cleaning and building service	9: Hispanic	725,768	14.51	1.08	5.07	0.78	0.88	0.29	0.16	0.13	4.88	0.73	0.79	0.35	5.84	0.78
27	Cleaning and building service	10: NonHispanic	2,368,094	22.25	0.87	8.78	0.62	1.39	0.21	1.35	0.24	10.25	0.70	4.25	0.43	6.38	0.56
27	Cleaning and building service	11: Insured	831,244	16.24	1.27	6.59	0.82	0.99	0.30	1.23	0.37	7.11	0.87	1.51	0.41	4.56	0.79
27	Cleaning and building service	12: NonInsured	2,245,116	22.10	0.87	8.46	0.60	1.39	0.23	1.02	0.21	9.57	0.67	4.18	0.44	6.93	0.54
28	Personal service	1: Total	2,745,870	16.87	0.73	6.90	0.50	0.83	0.15	0.48	0.15	11.14	0.65	4.20	0.40	4.28	0.34
28	Personal service	2: Age 18-64	2,616,350	15.07	0.71	6.31	0.49	0.62	0.14	0.46	0.15	11.29	0.68	3.99	0.40	3.69	0.33
28	Personal service	3: 65+	129,520	53.29	3.98	18.83	2.80	5.20	1.50	0.85	0.52	8.02	1.89	8.31	2.30	16.22	2.74
28	Personal service	4: Male	483,799	16.01	1.81	7.88	1.22	0.90	0.31	1.54	0.73	9.77	1.71	3.87	1.06	6.19	1.03
28	Personal service	5: Female	2,262,071	17.05	0.79	6.69	0.53	0.82	0.17	0.25	0.08	11.43	0.71	4.27	0.42	3.87	0.37
28	Personal service	6: White	2,134,954	15.80	0.85	7.32	0.58	0.68	0.15	0.52	0.18	11.05	0.72	4.87	0.48	4.23	0.40
28	Personal service	7: Black	405,942	23.72	1.88	6.63	1.18	1.16	0.51	0.34	0.23	10.99	1.42	1.95	0.60	5.59	0.92
28	Personal service	8: Other	204,974	14.43	2.44	3.07	1.26	1.79	0.88	0.32	0.32	12.33	3.10	1.64	0.89	2.18	0.75
28	Personal service	9: Hispanic	313,525	16.04	1.79	4.30	0.82	1.35	0.45	0.00	0.00	7.19	1.05	2.06	0.52	6.31	1.02
28	Personal service	10: NonHispanic	2,444,346	17.05	0.80	7.20	0.56	0.76	0.16	0.53	0.16	11.59	0.72	4.45	0.45	4.04	0.37
28	Personal service	11: Insured	608,196	15.40	1.33	6.78	0.95	0.58	0.27	0.00	0.00	10.39	1.10	3.85	0.69	3.85	0.81
28	Personal service	12: NonInsured	2,125,674	17.20	0.84	6.97	0.56	0.91	0.18	0.62	0.19	11.41	0.76	4.32	0.47	4.38	0.39
29	Farm operators and managers	1: Total	855,724	20.54	1.97	8.01	0.96	1.09	0.30	0.59	0.23	5.53	0.88	6.26	0.72	5.19	0.73
29	Farm operators and managers	2: Age 18-64	733,628	16.80	1.81	6.11	0.99	0.62	0.21	0.39	0.23	5.90	1.03	4.60	0.76	3.22	0.65
29	Farm operators and managers	3: 65+	122,096	42.95	4.59	19.44	3.40	3.90	1.54	1.76	0.91	3.32	1.15	16.21	3.08	17.04	3.38
29	Farm operators and managers	4: Male	714,004	20.38	2.08	8.36	1.07	1.08	0.39	0.57	0.25	5.85	0.98	5.62	0.73	5.62	0.88
29	Farm operators and managers	5: Female	141,720	21.35	3.48	6.25	2.15	1.11	0.73	0.68	0.68	3.94	1.44	9.49	2.35	3.04	1.40
29	Farm operators and managers	6: White	834,418	20.28	2.01	7.90	0.97	1.11	0.30	0.60	0.24	5.34	0.89	6.40	0.74	5.06	0.73
29	Farm operators and managers	7: Black	9,655	45.35	15.86	27.75	14.91	0.00	0.00	0.00	0.00	18.38	12.20	0.00	0.00	12.09	9.39
29	Farm operators and managers	8: Other	11,651	18.20	8.67	0.00	0.00	0.00	0.00	0.00	0.00	8.40	6.01	1.63	1.68	8.58	5.09
29	Farm operators and managers	9: Hispanic	31,522	3.64	1.63	2.76	2.81	0.00	0.00	0.00	0.00	2.03	2.00	2.90	1.92	5.46	3.34
29	Farm operators and managers	10: NonHispanic	826,019	21.14	2.03	8.20	0.99	1.12	0.31	0.61	0.24	5.65	0.91	6.37	0.74	5.17	0.75
29	Farm operators and managers	11: Insured	128,177	14.85	3.42	3.43	1.53	0.63	0.63	0.75	0.75	5.58	1.77	7.49	2.47	2.47	1.14
29	Farm operators and managers	12: NonInsured	725,730	21.60	2.09	8.84	1.07	1.17	0.33	0.56	0.24	5.54	1.00	6.06	0.74	5.69	0.87
30	Farm workers and other agricultural workers	1: Total	1,974,101	13.16	0.72	4.77	0.50	0.64	0.16	0.43	0.14	7.12	0.67	2.51	0.35	3.42	0.38
30	Farm workers and other agricultural workers	2: Age 18-64	1,901,840	12.02	0.72	4.25	0.49	0.59	0.16	0.39	0.13	7.12	0.70	2.04	0.33	3.24	0.39
30	Farm workers and other agricultural workers	3: 65+	72,262	43.44	5.13	18.28	4.02	1.98	1.47	1.40	1.39	7.19	2.78	14.96	3.54	8.01	2.69
30	Farm workers and other agricultural workers	4: Male	1,606,826	13.16	0.80	4.48	0.52	0.45	0.16	0.52	0.17	6.74	0.78	1.82	0.30	3.47	0.43
30	Farm workers and other agricultural workers	5: Female	367,276	13.20	1.75	6.02	1.17	1.47	0.57	0.00	0.00	8.80	1.55	5.55	1.29	3.20	0.82
30	Farm workers and other agricultural workers	6: White	1,719,589	12.62	0.79	4.99	0.57	0.71	0.19	0.47	0.15	7.55	0.75	2.64	0.38	3.28	0.41
30	Farm workers and other agricultural workers	7: Black	122,334	23.66	2.91	3.26	1.21	0.34	0.33	0.32	0.32	6.33	1.92	2.99	1.44	7.49	2.09
30	Farm workers and other agricultural workers	8: Other	132,178	10.62	2.29	3.19	1.32	0.00	0.00	0.00	0.00	2.24	0.96	0.44	0.44	1.39	0.56
30	Farm workers and other agricultural workers	9: Hispanic	719,479	8.27	1.05	2.27	0.50	0.34	0.16	0.17	0.14	3.63	0.89	0.57	0.25	3.35	0.61
30	Farm workers and other agricultural workers	10: NonHispanic	1,265,309	15.85	1.01	6.14	0.70	0.80	0.24	0.57	0.19	9.05	0.91	3.59	0.51	3.43	0.49
30	Farm workers and other agricultural workers	11: Insured	847,115	8.61	0.97	3.29	0.55	0.21	0.12	0.42	0.20	4.65	0.89	1.07	0.35	1.89	0.40
30	Farm workers and other agricultural workers	12: NonInsured	1,116,300	16.75	1.09	5.93	0.72	0.97	0.28	0.44	0.19	9.06	0.93	3.63	0.55	4.61	0.60
31	Forestry and fishing occs	1: Total	148,887	19.20	3.80	5.86	2.12	1.13	1.10	2.49	1.81	10.40	2.98	4.76	2.01	4.80	1.77
31	Forestry and fishing occs	2: Age 18-64	139,210	16.45	3.53	3.61	1.60	1.21	1.18	2.66	1.93	9.52	2.83	2.36	1.28	5.14	1.91
31	Forestry and fishing occs	3: 65+	9,677	58.61	17.66	38.28	18.84	0.00	0.00	0.00	0.00	23.78	19.62	39.03	18.90	0.00	0.00
31	Forestry and fishing occs	4: Male	143,549	19.35	3.90	5.64	2.17	1.18	1.14	2.58	1.86	10.27	3.01	4.64	2.07	4.11	1.84
31	Forestry and fishing occs	5: Female	5,338	15.19	4.96	11.80	10.98	0.00	0.00	0.00	0.00	13.62	12.50	7.99	7.81	23.26	14.32
31	Forestry and fishing occs	6: White	132,443	19.29	4.31	6.59	2.35	1.26	1.22	2.77	1.99	11.41	3.24	5.31	2.23	3.73	1.80
31	Forestry and fishing occs	7: Black	9,753	31.54	14.16	0.00	0.00	0.00	0.00	0.00	0.00	2.49	2.24	0.00	0.00	22.86	11.17
31	Forestry and fishing occs	8: Other	6,691	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00
31	Forestry and fishing occs	9: Hispanic	7,494	10.55	10.79	8.40	7.66	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00
31	Forestry and fishing occs	10: NonHispanic	141,987	19.57	3.89	5.70	2.21	1.19	1.15	2.61	1.90	10.91	3.11	5.00	2.11	5.03	1.85
31	Forestry and fishing occs	11: Insured	65,906	9.16	3.33	0.78	0.79	0.00	0.00	1.63	1.62	6.76	2.89	0.00	0.00	4.24	2.92
31	Forestry and fishing occs	12: NonInsured	82,388	27.33	5.65	9.97	3.58	2.06	1.98	3.20	2.21	13.42	4.48	8.63	3.59	5.28	2.09
32	Mechanics and repairers	1: Total	4,667,434	19.51	0.68	6.73	0.39	0.72	0.15	0.85	0.17	7.38	0.45	2.48	0.25	4.91	0.35
32	Mechanics and repairers	2: Age 18-64	4,581,648	18.87	0.68	6.26	0.38	0.65	0.15	0.69	0.16	7.43	0.46	2.37	0.25	4.74	0.35
32	Mechanics and repairers	3: 65+	85,786	53.58	5.12	31.79	4.68	4.15	2.16	9.48	3.20	4.74	2.05	8.60	2.66	13.83	3.56
32	Mechanics and repairers	4: Male	4,462,079	19.72	0.70	6.71	0.40	0.73	0.16	0.84	0.17	7.18	0.46	2.29	0.25	4.85	0.36
32	Mechanics and repairers	5: Female	205,355	14.92	2.35	7.17	1.72	0.55	0.55	1.04	0.63	11.64	2.30	6.57	1.78	6.12	1.94
32	Mechanics and repairers	6: White	4,050,909	19.35	0.74	6.70	0.39	0.73	0.17	0.94	0.19	7.43	0.47	2.62	0.29	4.63	0.37
32	Mechanics and repairers	7: Black	383,084	22.18	2.17	6.04	1.17	1.03	0.60	0.41	0.27	5.96	1.27	1.43	0.56	7.02	1.32
32	Mechanics and repairers	8: Other	233,441	17.83	2.95	8.47	2.80	0.00	0.00	0.00	0.00	8.83	2.05	1.76	0.91	6.27	1.81
32	Mechanics and repairers	9: Hispanic	515,988	15.36	1.46	4.36	0.76	0.58	0.33	0.31	0.23	5.30	0.85	1.19	0.40	6.08	0.94
32	Mechanics and repairers	10: NonHispanic	4,166,621	19.95	0.74	7.00	0.43	0.73	0.17	0.91	0.18	7.76	0.52	2.63	0.28	4.75	0.37
32	Mechanics and repairers	11: Insured	733,109	14.88	1.56	3.94	0.70	0.13	0.13	0.05	0.05	8.14	1.13	1.49	0.44	3.42	0.63
32	Mechanics and repairers	12: NonInsured	3,919,150	20.45	0.73	7.28	0.44	0.83	0.18	1.00	0.20	7.10	0.48	2.68	0.30	5.21	0.40
33	Construction and extractive trades	1: Total	5,789,709	13.27	0.43	4.57	0.29	0.48	0.09	0.47	0.08	6.43	0.37	2.09	0.19	2.76	0.22
33	Construction and extractive trades	2: Age 18-64	5,696,198	12.88	0.42	4.35	0.29	0.42	0.09	0.47	0.08	6.46	0.37	1.90	0.19	2.60	0.22
33	Construction and extractive trades	3: 65+	93,511	36.78	4.87	18.11	4.15	4.13	1.97	0.82	0.68	4.99	1.81	14.15	3.26	12.83	3.33
33	Construction and extractive trades	4: Male	5,639,346	13.21	0.43	4.47	0.29	0.48	0.09	0.48	0.09	6.32	0.37	2.05	0.20	2.79	0.23
33	Construction and extractive trades	5: Female	150,363	15.53	3.10	8.24	2.58	0.15	0.15	0.00	0.00	10.84	2.67	3.72	1.31	1.66	0.80
33	Construction and extractive trades	6: White	5,115,390	12.78	0.45	4.78	0.31	0.47	0.10	0.49	0.09	6.48	0.39	2.30	0.22	2.63	0.24
33	Construction and extractive trades	7: Black	411,605	19.88	1.89	3.16	0.96	0.67	0.49	0.52	0.30	6.47	1.29	0.90	0.46	3.23	0.70
33	Construction and extractive trades	8: Other	262,715	12.29	2.43	2.69	1.01	0.24	0.17	0.09	0.09	5.45	1.60	0.00	0.00	4.66	1.50
33	Construction and extractive trades	9: Hispanic	1,003,022	8.26	0.78	2.56	0.55	0.24	0.15	0.14	0.08	3.33	0.52	0.43	0.17	2.60	0.40
33	Construction and extractive trades	10: NonHispanic	4,801,909	14.34	0.49	4.97	0.33	0.52	0.11	0.54	0.10	7.08	0.44	2.43	0.23	2.81	0.25
33	Construction and extractive trades	11: Insured	2,006,984	9.13	0.62	4.05	0.50	0.58	0.16	0.55	0.16	6.91	0.56	1.12	0.25	1.61	0.28
33	Construction and extractive trades	12: NonInsured	3,767,504	15.44	0.58	4.87	0.37	0.42	0.12	0.43	0.10	6.18	0.43	2.62	0.27	3.36	0.32
34	Precision production occs	1: Total	3,394,969	18.79	0.72	7.40	0.49	0.62	0.13	0.67	0.14	7.61	0.49	3.23	0.31	4.56	0.36
34	Precision production occs	2: Age 18-64	3,324,072	18.16	0.72	7.15	0.48	0.57	0.13	0.66	0.14	7.66	0.50	2.92	0.31	4.28	0.35
34	Precision production occs	3: 65+	70,897	48.80	6.29	19.49	4.86	3.06	1.63	1.26	0.91	5.36	2.37	17.84	4.61	17.74	5.44
34	Precision production occs	4: Male	2,585,316	19.42	0.88	7.61	0.55	0.73	0.17	0.69	0.17	7.22	0.58	2.79	0.34	4.51	0.43
34	Precision production occs	5: Female	809,653	16.79	1.19	6.76	0.96	0.28	0.12	0.63	0.25	8.89	1.08	4.66	0.74	4.72	0.70
34	Precision production occs	6: White	2,879,413	18.80	0.78	8.09	0.55	0.69	0.15	0.77	0.17	7.44	0.53	3.68	0.36	4.48	0.39
34	Precision production occs	7: Black	289,030	26.77	2.67	4.92	1.15	0.47	0.29	0.10	0.10	9.72	1.42	0.61	0.39	6.17	1.33
34	Precision production occs	8: Other	226,526	8.50	1.66	1.89	0.81	0.00	0.00	0.14	0.14	7.09	2.16	0.88	0.61	3.50	1.00
34	Precision production occs	9: Hispanic	491,713	12.93	1.33	3.59	0.86	0.49	0.38	0.26	0.14	5.01	0.82	0.88	0.32	6.07	1.06
34	Precision production occs	10: NonHispanic	2,909,893	19.89	0.82	8.07	0.55	0.64	0.14	0.78	0.18	8.08	0.56	3.63	0.36	4.29	0.37
34	Precision production occs	11: Insured	407,136	11.59	1.61	4.72	0.99	0.44	0.44	0.26	0.15	6.80	1.18	1.35	0.61	3.33	0.94
34	Precision production occs	12: NonInsured	2,981,196	19.67	0.79	7.75	0.53	0.65	0.14	0.69	0.16	7.70	0.53	3.50	0.35	4.74	0.38
35	Machine operators/tenderers, except precision	1: Total	4,379,879	18.61	0.62	6.07	0.38	0.49	0.11	0.70	0.12	7.21	0.43	2.66	0.27	4.82	0.33
35	Machine operators/tenderers, except precision	2: Age 18-64	4,309,430	18.07	0.62	5.74	0.38	0.46	0.11	0.63	0.12	7.26	0.43	2.51	0.27	4.76	0.33
35	Machine operators/tenderers, except precision	3: 65+	70,449	51.84	5.41	26.66	5.12	2.57	1.56	4.45	2.30	4.03	2.33	11.77	4.14	8.79	3.08
35	Machine operators/tenderers, except precision	4: Male	2,902,278	17.37	0.74	6.25	0.49	0.45	0.14	0.62	0.15	6.75	0.56	2.11	0.31	4.27	0.39
35	Machine operators/tenderers, except precision	5: Female	1,477,601	21.06	1.08	5.73	0.57	0.57	0.18	0.85	0.23	8.11	0.70	3.73	0.48	5.90	0.65
35	Machine operators/tenderers, except precision	6: White	3,443,953	17.64	0.70	6.54	0.48	0.49	0.14	0.82	0.15	7.42	0.52	2.93	0.33	4.33	0.38
35	Machine operators/tenderers, except precision	7: Black	590,026	26.51	1.69	5.97	0.75	0.69	0.29	0.17	0.17	7.49	0.90	1.22	0.40	6.95	0.91
35	Machine operators/tenderers, except precision	8: Other	345,900	14.89	1.90	1.61	0.81	0.18	0.14	0.40	0.25	4.68	1.09	2.41	0.89	6.04	1.40
35	Machine operators/tenderers, except precision	9: Hispanic	866,962	10.97	0.90	2.08	0.43	0.38	0.15	0.14	0.08	3.20	0.62	0.92	0.33	5.03	0.53
35	Machine operators/tenderers, except precision	10: NonHispanic	3,521,342	20.48	0.73	7.04	0.46	0.52	0.14	0.83	0.15	8.28	0.53	3.08	0.33	4.76	0.40
35	Machine operators/tenderers, except precision	11: Insured	781,745	13.05	1.39	4.36	0.75	0.45	0.23	0.44	0.25	7.29	1.19	0.72	0.30	3.81	0.67
35	Machine operators/tenderers, except precision	12: NonInsured	3,589,710	19.83	0.69	6.46	0.43	0.50	0.13	0.75	0.14	7.11	0.46	3.09	0.33	5.05	0.39
36	Fabricators, assemblers, inspectors, samplers	1: Total	2,637,020	18.00	0.83	6.38	0.44	0.58	0.14	0.94	0.19	7.56	0.53	2.57	0.35	4.61	0.44
36	Fabricators, assemblers, inspectors, samplers	2: Age 18-64	2,597,262	17.46	0.84	6.23	0.46	0.57	0.15	0.91	0.18	7.49	0.53	2.43	0.34	4.44	0.44
36	Fabricators, assemblers, inspectors, samplers	3: 65+	39,759	52.90	7.63	16.10	5.57	1.24	1.23	3.31	3.23	12.59	5.13	11.64	4.22	15.59	5.20
36	Fabricators, assemblers, inspectors, samplers	4: Male	1,643,523	16.67	1.05	6.14	0.58	0.34	0.16	0.89	0.25	7.49	0.71	1.84	0.42	4.70	0.58
36	Fabricators, assemblers, inspectors, samplers	5: Female	993,498	20.20	1.25	6.77	0.84	1.00	0.28	1.03	0.28	7.69	0.82	3.77	0.61	4.45	0.64
36	Fabricators, assemblers, inspectors, samplers	6: White	2,112,843	17.94	0.92	7.43	0.54	0.62	0.18	1.18	0.24	7.44	0.61	2.82	0.40	4.52	0.52
36	Fabricators, assemblers, inspectors, samplers	7: Black	334,775	19.17	1.93	2.48	0.79	0.57	0.24	0.00	0.00	11.43	1.83	0.95	0.31	4.84	1.07
36	Fabricators, assemblers, inspectors, samplers	8: Other	189,403	16.64	2.56	1.52	0.78	0.20	0.20	0.00	0.00	2.10	0.99	2.59	1.55	5.18	1.58
36	Fabricators, assemblers, inspectors, samplers	9: Hispanic	432,799	13.84	1.37	3.57	0.91	0.31	0.21	0.23	0.23	4.20	0.93	0.33	0.21	5.35	1.02
36	Fabricators, assemblers, inspectors, samplers	10: NonHispanic	2,207,098	18.79	0.97	6.92	0.50	0.64	0.17	1.08	0.22	8.21	0.61	3.00	0.41	4.45	0.49
36	Fabricators, assemblers, inspectors, samplers	11: Insured	445,952	12.55	1.52	3.73	1.01	0.21	0.13	0.11	0.11	6.58	1.09	1.47	0.53	1.77	0.52
36	Fabricators, assemblers, inspectors, samplers	12: NonInsured	2,188,192	19.13	0.98	6.93	0.50	0.66	0.17	1.11	0.23	7.77	0.61	2.80	0.40	5.19	0.52
37	Motor vehicle operators	1: Total	3,999,166	22.22	0.75	6.97	0.42	1.10	0.17	1.05	0.17	7.70	0.47	3.40	0.31	6.44	0.42
37	Motor vehicle operators	2: Age 18-64	3,780,717	20.60	0.73	5.77	0.40	0.84	0.15	0.80	0.16	7.69	0.49	2.51	0.28	5.82	0.41
37	Motor vehicle operators	3: 65+	218,449	50.41	3.92	27.77	3.09	5.51	1.62	5.39	1.53	7.91	1.69	18.78	2.45	17.15	2.76
37	Motor vehicle operators	4: Male	3,494,219	22.60	0.81	7.12	0.43	1.08	0.18	1.12	0.19	7.01	0.48	2.91	0.31	6.55	0.44
37	Motor vehicle operators	5: Female	504,947	19.65	1.70	5.93	1.05	1.23	0.49	0.54	0.20	12.52	1.49	6.77	1.13	5.63	1.05
37	Motor vehicle operators	6: White	3,213,525	21.55	0.83	7.33	0.49	1.12	0.19	1.24	0.21	7.71	0.53	3.81	0.37	6.20	0.45
37	Motor vehicle operators	7: Black	590,334	26.68	1.86	5.68	0.96	0.95	0.36	0.28	0.20	8.36	1.22	1.94	0.48	6.31	0.88
37	Motor vehicle operators	8: Other	195,307	19.77	3.37	5.05	1.58	1.14	0.70	0.12	0.12	5.56	2.08	1.10	0.71	10.77	2.55
37	Motor vehicle operators	9: Hispanic	513,539	14.15	1.28	2.77	0.59	0.68	0.30	0.24	0.14	4.62	0.98	0.62	0.29	5.51	0.83
37	Motor vehicle operators	10: NonHispanic	3,503,546	23.32	0.84	7.61	0.47	1.15	0.19	1.18	0.20	8.12	0.51	3.79	0.35	6.54	0.46
37	Motor vehicle operators	11: Insured	866,479	16.50	1.29	4.32	0.69	0.92	0.31	0.71	0.28	6.77	0.89	1.81	0.51	5.39	0.71
37	Motor vehicle operators	12: NonInsured	3,114,768	23.92	0.89	7.69	0.48	1.15	0.19	1.12	0.19	8.00	0.52	3.86	0.36	6.76	0.49
38	Other transportation, except motor vehicles	1: Total	189,086	18.67	3.14	4.48	1.19	0.65	0.65	0.00	0.00	6.53	2.34	3.03	0.97	2.09	1.09
38	Other transportation, except motor vehicles	2: Age 18-64	187,947	18.78	3.16	4.19	1.21	0.65	0.66	0.00	0.00	6.56	2.35	2.73	0.92	1.78	1.05
38	Other transportation, except motor vehicles	3: 65+	1,139	0.00	0.00	51.94	35.30	0.00	0.00	0.00	0.00	0.00	0.00	51.94	35.30	51.94	35.30
38	Other transportation, except motor vehicles	4: Male	185,665	18.30	3.17	4.31	1.24	0.66	0.66	0.00	0.00	6.52	2.37	3.08	0.98	2.12	1.11
38	Other transportation, except motor vehicles	5: Female	3,421	38.67	21.52	13.26	12.64	0.00	0.00	0.00	0.00	6.78	6.92	0.00	0.00	0.00	0.00
38	Other transportation, except motor vehicles	6: White	159,092	19.28	3.49	4.06	1.29	0.77	0.77	0.00	0.00	4.59	1.88	3.14	1.49	1.99	1.20
38	Other transportation, except motor vehicles	7: Black	25,474	18.14	7.14	7.88	4.77	0.00	0.00	0.00	0.00	19.77	13.40	2.86	2.86	3.03	3.03
38	Other transportation, except motor vehicles	8: Other	4,520	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00
38	Other transportation, except motor vehicles	9: Hispanic	5,131	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	25.42	22.00
38	Other transportation, except motor vehicles	10: NonHispanic	183,955	19.19	3.20	4.60	1.22	0.67	0.67	0.00	0.00	6.71	2.40	3.11	0.99	1.43	0.87
38	Other transportation, except motor vehicles	11: Insured	9,121	0.00	0.00	4.97	5.24	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00
38	Other transportation, except motor vehicles	12: NonInsured	179,964	19.61	3.24	4.45	1.28	0.68	0.68	0.00	0.00	6.86	2.45	3.18	1.01	2.19	1.14
39	Material moving equipment operators	1: Total	1,172,950	20.47	1.19	5.51	0.72	0.37	0.18	1.76	0.45	7.22	0.77	2.35	0.50	5.14	0.68
39	Material moving equipment operators	2: Age 18-64	1,155,222	19.91	1.21	5.23	0.70	0.32	0.17	1.71	0.45	7.10	0.79	2.31	0.50	5.10	0.68
39	Material moving equipment operators	3: 65+	17,727	57.11	11.17	23.60	11.46	3.74	3.71	4.51	4.43	14.70	9.42	5.02	3.94	7.98	5.40
39	Material moving equipment operators	4: Male	1,096,890	20.28	1.24	5.26	0.74	0.39	0.19	1.88	0.48	6.94	0.76	2.31	0.52	5.03	0.68
39	Material moving equipment operators	5: Female	76,060	23.20	4.39	9.10	3.31	0.00	0.00	0.00	0.00	11.19	3.78	3.00	1.88	6.79	2.63
39	Material moving equipment operators	6: White	951,892	19.86	1.35	5.42	0.80	0.23	0.14	2.02	0.55	7.17	0.82	2.73	0.60	5.05	0.76
39	Material moving equipment operators	7: Black	164,771	27.93	3.49	7.24	2.03	1.32	0.95	0.21	0.21	8.01	2.82	0.94	0.59	4.45	1.28
39	Material moving equipment operators	8: Other	56,287	8.85	3.71	1.97	1.95	0.00	0.00	1.79	1.78	5.65	2.99	0.00	0.00	8.62	3.89
39	Material moving equipment operators	9: Hispanic	174,838	14.44	2.46	0.50	0.35	0.22	0.22	0.49	0.30	3.47	1.55	0.43	0.33	4.00	1.30
39	Material moving equipment operators	10: NonHispanic	1,004,282	21.57	1.37	6.53	0.88	0.39	0.20	1.97	0.52	8.00	0.93	2.67	0.58	5.31	0.75
39	Material moving equipment operators	11: Insured	177,839	16.07	2.84	6.59	1.84	0.83	0.65	2.37	1.29	9.66	2.45	0.52	0.52	2.84	1.22
39	Material moving equipment operators	12: NonInsured	988,941	21.21	1.31	5.17	0.74	0.29	0.17	1.66	0.49	6.64	0.79	2.69	0.58	5.59	0.76
40	Construction laborers	1: Total	1,053,405	12.52	1.05	4.39	0.63	0.85	0.37	0.21	0.11	5.69	0.74	1.15	0.31	3.92	0.70
40	Construction laborers	2: Age 18-64	1,027,307	12.09	1.05	3.91	0.60	0.60	0.33	0.15	0.09	5.71	0.76	1.01	0.30	3.67	0.66
40	Construction laborers	3: 65+	26,098	29.78	9.11	23.15	8.61	10.76	7.22	2.49	2.51	5.14	3.92	6.98	4.40	13.77	7.53
40	Construction laborers	4: Male	1,028,414	12.51	1.08	4.40	0.64	0.88	0.38	0.21	0.11	5.65	0.76	1.18	0.32	3.97	0.72
40	Construction laborers	5: Female	24,992	13.25	6.93	3.76	3.64	0.00	0.00	0.00	0.00	7.43	5.25	0.00	0.00	2.01	2.00
40	Construction laborers	6: White	880,941	11.09	1.02	4.54	0.73	0.81	0.41	0.25	0.13	5.88	0.85	1.20	0.36	4.09	0.79
40	Construction laborers	7: Black	98,498	28.22	5.82	4.93	2.65	1.93	1.59	0.00	0.00	2.86	1.44	1.56	1.10	3.27	2.00
40	Construction laborers	8: Other	73,966	8.71	2.74	1.89	1.15	0.00	0.00	0.00	0.00	7.22	2.94	0.00	0.00	2.78	1.71
40	Construction laborers	9: Hispanic	324,820	5.06	1.07	2.30	0.76	0.00	0.00	0.00	0.00	2.77	0.95	0.41	0.41	2.15	0.63
40	Construction laborers	10: NonHispanic	729,999	15.82	1.40	5.31	0.85	1.23	0.54	0.30	0.15	6.98	1.00	1.48	0.41	4.70	0.97
40	Construction laborers	11: Insured	503,450	7.47	1.20	4.11	0.90	0.67	0.56	0.22	0.16	5.27	0.95	0.71	0.37	2.15	0.62
40	Construction laborers	12: NonInsured	548,542	17.18	1.72	4.65	0.96	1.03	0.50	0.20	0.14	6.10	1.09	1.56	0.49	5.55	1.22
41	Freight, stock, material handlers	1: Total	3,835,038	13.97	0.60	4.58	0.37	0.58	0.11	0.49	0.11	9.11	0.53	1.85	0.22	4.05	0.29
41	Freight, stock, material handlers	2: Age 18-64	3,730,237	13.10	0.60	4.09	0.37	0.51	0.10	0.44	0.11	9.25	0.54	1.48	0.20	3.58	0.29
41	Freight, stock, material handlers	3: 65+	104,801	44.92	4.73	22.27	3.57	3.28	2.22	2.24	1.35	4.22	1.65	15.03	3.33	20.76	3.75
41	Freight, stock, material handlers	4: Male	2,925,560	13.64	0.73	4.00	0.38	0.53	0.11	0.53	0.13	9.11	0.60	1.50	0.23	3.69	0.34
41	Freight, stock, material handlers	5: Female	909,478	15.03	1.11	6.46	0.86	0.76	0.27	0.35	0.18	9.11	1.05	2.97	0.55	5.20	0.67
41	Freight, stock, material handlers	6: White	2,906,709	13.63	0.69	4.99	0.44	0.62	0.13	0.51	0.14	9.50	0.63	2.08	0.26	4.06	0.35
41	Freight, stock, material handlers	7: Black	649,806	17.29	1.53	2.98	0.69	0.54	0.22	0.29	0.17	7.92	1.17	1.28	0.42	3.92	0.78
41	Freight, stock, material handlers	8: Other	278,523	9.74	1.78	4.10	1.62	0.28	0.24	0.74	0.54	7.84	1.34	0.78	0.56	4.23	1.03
41	Freight, stock, material handlers	9: Hispanic	738,737	9.16	0.92	2.28	0.45	0.27	0.14	0.10	0.10	5.20	0.79	0.66	0.23	3.54	0.58
41	Freight, stock, material handlers	10: NonHispanic	3,118,377	15.12	0.73	5.10	0.44	0.65	0.13	0.58	0.14	9.98	0.62	2.12	0.26	4.15	0.34
41	Freight, stock, material handlers	11: Insured	975,153	9.31	0.92	4.03	0.66	0.58	0.23	0.40	0.19	7.46	0.93	0.70	0.24	2.96	0.58
41	Freight, stock, material handlers	12: NonInsured	2,837,809	15.56	0.74	4.81	0.44	0.59	0.12	0.52	0.12	9.75	0.66	2.26	0.28	4.46	0.34