Table 6. Prevalence of Self Reported Health by 41 Occupations
	NORA Sectors	Group	Population Estimates	Sample Size	Estimated Prevalence of 'Excellent' Self-rated Health	Standard Error of "Excellent"	Estimated Prevalence of 'Very Good' Self-rated Health	Standard Error of "Very Good"	Estimated Prevalence of 'Good' Self-rated Health	Standard Error of "Good"	Estimated Prevalence of  'Fair' Self-rated Health	Standard Error of "Fair"	Estimated Prevalence of 'Poor' Self-rated  Health	Standard Error of "Poor"
	All Workers		126,583,540	153,319	36.95	0.19	35.43	0.19	22.45	0.19	4.67	0.19	0.50	0.19
0	All Occupations	1: Total	126,583,540	153,319	36.95	0.19	35.43	0.19	22.45	0.19	4.67	0.19	0.50	0.19
0	All Occupations	2: Age 18-64	122,688,332	147,728	37.36	0.19	35.49	0.19	22.14	0.19	4.53	0.19	0.48	0.19
0	All Occupations	3: 65+	3,895,208	5,591	23.79	0.66	33.52	0.66	32.32	0.66	9.17	0.66	1.20	0.66
0	All Occupations	4: Male	68,111,182	75,908	38.36	0.24	35.01	0.24	21.74	0.24	4.44	0.24	0.45	0.24
0	All Occupations	5: Female	58,472,358	77,411	35.30	0.22	35.93	0.22	23.28	0.22	4.95	0.22	0.56	0.22
0	All Occupations	6: White	105,143,161	122,688	37.82	0.21	35.85	0.21	21.56	0.21	4.29	0.21	0.47	0.21
0	All Occupations	7: Black	13,774,098	20,608	31.33	0.45	33.34	0.45	27.57	0.45	7.12	0.45	0.63	0.45
0	All Occupations	8: Other	7,666,281	10,023	35.00	0.62	33.44	0.62	25.43	0.62	5.53	0.62	0.59	0.62
0	All Occupations	9: Hispanic	14,020,835	25,804	33.35	0.45	32.23	0.45	27.26	0.45	6.61	0.45	0.56	0.45
0	All Occupations	10: NonHispanic	112,875,146	127,829	37.38	0.20	35.82	0.20	21.88	0.20	4.43	0.20	0.49	0.20
0	All Occupations	11: Insured	19,235,536	26,261	31.12	0.40	32.73	0.40	28.16	0.40	7.18	0.40	0.81	0.40
0	All Occupations	12: NonInsured	107,035,564	126,744	38.01	0.20	35.93	0.20	21.40	0.20	4.23	0.20	0.44	0.20
1	Officials and administrators public admin	1: Total	776,174	964	36.36	1.82	38.69	1.82	19.84	1.82	4.77	1.82	0.35	1.82
1	Officials and administrators public admin	2: Age 18-64	744,718	918	37.09	1.86	37.95	1.86	19.75	1.86	4.84	1.86	0.37	1.86
1	Officials and administrators public admin	3: 65+	31,456	46	19.03	6.23	56.03	6.23	21.86	6.23	3.08	6.23	0.00	6.23
1	Officials and administrators public admin	4: Male	405,511	438	35.76	2.38	40.71	2.38	18.50	2.38	4.56	2.38	0.48	2.38
1	Officials and administrators public admin	5: Female	370,663	526	37.01	2.54	36.48	2.54	21.30	2.54	5.00	2.54	0.21	2.54
1	Officials and administrators public admin	6: White	638,419	750	36.78	2.06	38.85	2.06	19.93	2.06	4.01	2.06	0.43	2.06
1	Officials and administrators public admin	7: Black	111,728	181	36.89	3.96	37.24	3.96	18.88	3.96	6.99	3.96	0.00	3.96
1	Officials and administrators public admin	8: Other	26,026	33	23.66	8.34	40.82	8.34	21.78	8.34	13.74	8.34	0.00	8.34
1	Officials and administrators public admin	9: Hispanic	40,711	71	37.65	7.56	26.09	7.56	21.33	7.56	14.93	7.56	0.00	7.56
1	Officials and administrators public admin	10: NonHispanic	735,463	893	36.28	1.89	39.38	1.89	19.76	1.89	4.20	1.89	0.37	1.89
1	Officials and administrators public admin	11: Insured	20,178	24	42.54	12.14	10.27	12.14	41.08	12.14	6.11	12.14	0.00	12.14
1	Officials and administrators public admin	12: NonInsured	755,995	940	36.19	1.82	39.45	1.82	19.27	1.82	4.73	1.82	0.36	1.82
2	Managers administrators, except public administration	1: Total	12,433,516	14,545	41.83	0.48	36.47	0.48	18.26	0.48	3.14	0.48	0.30	0.48
2	Managers administrators, except public administration	2: Age 18-64	12,079,799	14,053	42.19	0.48	36.70	0.48	17.90	0.48	2.94	0.48	0.27	0.48
2	Managers administrators, except public administration	3: 65+	353,717	492	29.56	2.46	28.42	2.46	30.53	2.46	10.08	2.46	1.42	2.46
2	Managers administrators, except public administration	4: Male	7,342,023	7,860	43.34	0.63	35.84	0.63	17.46	0.63	3.07	0.63	0.29	0.63
2	Managers administrators, except public administration	5: Female	5,091,492	6,685	39.64	0.69	37.37	0.69	19.42	0.69	3.25	0.69	0.33	0.69
2	Managers administrators, except public administration	6: White	11,036,760	12,540	42.57	0.53	36.55	0.53	17.61	0.53	2.96	0.53	0.31	0.53
2	Managers administrators, except public administration	7: Black	830,168	1,292	33.84	1.44	36.23	1.44	24.55	1.44	5.29	1.44	0.08	1.44
2	Managers administrators, except public administration	8: Other	566,587	713	38.98	2.15	35.21	2.15	21.77	2.15	3.51	2.15	0.53	2.15
2	Managers administrators, except public administration	9: Hispanic	811,227	1,442	41.93	1.63	32.02	1.63	20.10	1.63	5.39	1.63	0.56	1.63
2	Managers administrators, except public administration	10: NonHispanic	11,644,989	13,128	41.79	0.50	36.77	0.50	18.18	0.50	2.98	0.50	0.29	0.50
2	Managers administrators, except public administration	11: Insured	1,022,106	1,366	35.36	1.52	34.25	1.52	23.36	1.52	6.65	1.52	0.38	1.52
2	Managers administrators, except public administration	12: NonInsured	11,388,709	13,154	42.44	0.50	36.67	0.50	17.75	0.50	2.83	0.50	0.30	0.50
3	Management related occs	1: Total	5,101,760	6,219	41.89	0.65	36.60	0.65	18.16	0.65	3.05	0.65	0.30	0.65
3	Management related occs	2: Age 18-64	4,953,045	6,026	42.32	0.67	36.72	0.67	17.79	0.67	2.93	0.67	0.25	0.67
3	Management related occs	3: 65+	148,715	193	27.59	3.65	32.65	3.65	30.40	3.65	7.17	3.65	2.18	3.65
3	Management related occs	4: Male	2,152,408	2,342	43.48	1.19	35.51	1.19	17.55	1.19	2.97	1.19	0.48	1.19
3	Management related occs	5: Female	2,949,352	3,877	40.72	0.87	37.39	0.87	18.61	0.87	3.11	0.87	0.17	0.87
3	Management related occs	6: White	4,341,991	5,069	42.99	0.72	36.57	0.72	17.28	0.72	2.84	0.72	0.32	0.72
3	Management related occs	7: Black	498,205	795	34.15	1.82	36.78	1.82	24.36	1.82	4.43	1.82	0.28	1.82
3	Management related occs	8: Other	261,565	355	38.31	2.94	36.74	2.94	20.95	2.94	4.00	2.94	0.00	2.94
3	Management related occs	9: Hispanic	312,738	594	41.82	2.33	32.16	2.33	20.51	2.33	4.70	2.33	0.80	2.33
3	Management related occs	10: NonHispanic	4,795,389	5,631	41.93	0.67	36.85	0.67	17.99	0.67	2.97	0.67	0.27	0.67
3	Management related occs	11: Insured	255,560	371	42.71	3.04	31.31	3.04	21.46	3.04	4.08	3.04	0.44	3.04
3	Management related occs	12: NonInsured	4,839,834	5,842	41.80	0.67	36.92	0.67	18.01	0.67	2.97	0.67	0.30	0.67
4	Engineers	1: Total	1,981,523	2,137	45.81	1.27	35.81	1.27	15.95	1.27	2.23	1.27	0.20	1.27
4	Engineers	2: Age 18-64	1,949,985	2,098	45.95	1.28	35.83	1.28	15.80	1.28	2.25	1.28	0.18	1.28
4	Engineers	3: 65+	31,538	39	37.11	8.33	34.95	8.33	25.11	8.33	1.38	8.33	1.45	8.33
4	Engineers	4: Male	1,778,817	1,873	46.69	1.38	34.83	1.38	16.22	1.38	2.09	1.38	0.17	1.38
4	Engineers	5: Female	202,706	264	38.09	3.20	44.40	3.20	13.58	3.20	3.47	3.20	0.47	3.20
4	Engineers	6: White	1,701,911	1,815	47.02	1.42	35.95	1.42	14.51	1.42	2.33	1.42	0.20	1.42
4	Engineers	7: Black	91,001	127	45.35	5.44	39.84	5.44	11.69	5.44	2.46	5.44	0.66	5.44
4	Engineers	8: Other	188,611	195	35.07	3.58	32.67	3.58	31.00	3.58	1.26	3.58	0.00	3.58
4	Engineers	9: Hispanic	102,356	150	47.52	5.17	33.54	5.17	16.96	5.17	1.54	5.17	0.44	5.17
4	Engineers	10: NonHispanic	1,882,193	1,989	45.64	1.31	36.01	1.31	15.89	1.31	2.27	1.31	0.19	1.31
4	Engineers	11: Insured	39,702	47	48.77	8.95	30.41	8.95	20.13	8.95	0.69	8.95	0.00	8.95
4	Engineers	12: NonInsured	1,938,795	2,088	45.82	1.26	35.85	1.26	15.86	1.26	2.27	1.26	0.20	1.26
5	Architects and surveyors	1: Total	227,354	261	50.05	3.65	37.14	3.65	12.06	3.65	0.76	3.65	0.00	3.65
5	Architects and surveyors	2: Age 18-64	217,892	250	51.42	3.77	37.24	3.77	10.77	3.77	0.58	3.77	0.00	3.77
5	Architects and surveyors	3: 65+	9,462	11	18.45	11.30	34.83	11.30	41.78	11.30	4.93	11.30	0.00	11.30
5	Architects and surveyors	4: Male	188,176	212	51.00	3.88	35.54	3.88	12.81	3.88	0.65	3.88	0.00	3.88
5	Architects and surveyors	5: Female	39,178	49	45.45	8.24	44.82	8.24	8.46	8.24	1.27	8.24	0.00	8.24
5	Architects and surveyors	6: White	199,031	228	49.01	3.65	38.92	3.65	11.20	3.65	0.86	3.65	0.00	3.65
5	Architects and surveyors	7: Black	11,522	15	68.32	14.64	15.49	14.64	16.19	14.64	0.00	14.64	0.00	14.64
5	Architects and surveyors	8: Other	16,801	18	49.73	14.06	30.92	14.06	19.35	14.06	0.00	14.06	0.00	14.06
5	Architects and surveyors	9: Hispanic	13,861	27	57.42	10.82	25.31	10.82	13.91	10.82	3.37	10.82	0.00	10.82
5	Architects and surveyors	10: NonHispanic	213,494	234	49.57	3.72	37.91	3.72	11.94	3.72	0.59	3.72	0.00	3.72
5	Architects and surveyors	11: Insured	10,680	17	47.53	15.54	31.98	15.54	16.35	15.54	4.13	15.54	0.00	15.54
5	Architects and surveyors	12: NonInsured	216,674	244	50.17	3.66	37.39	3.66	11.85	3.66	0.59	3.66	0.00	3.66
6	Natural mathematical/computer scientists	1: Total	2,631,818	3,103	43.85	1.03	38.66	1.03	14.85	1.03	2.33	1.03	0.30	1.03
6	Natural mathematical/computer scientists	2: Age 18-64	2,608,499	3,070	43.85	1.04	38.68	1.04	14.82	1.04	2.35	1.04	0.30	1.04
6	Natural mathematical/computer scientists	3: 65+	23,319	33	44.43	8.97	36.56	8.97	19.01	8.97	0.00	8.97	0.00	8.97
6	Natural mathematical/computer scientists	4: Male	1,837,242	2,025	44.78	1.18	38.48	1.18	14.16	1.18	2.35	1.18	0.23	1.18
6	Natural mathematical/computer scientists	5: Female	794,577	1,078	41.71	1.77	39.10	1.77	16.45	1.77	2.27	1.77	0.47	1.77
6	Natural mathematical/computer scientists	6: White	2,077,747	2,404	44.10	1.10	39.01	1.10	14.33	1.10	2.29	1.10	0.26	1.10
6	Natural mathematical/computer scientists	7: Black	169,254	267	40.86	3.35	35.32	3.35	19.30	3.35	3.30	3.35	1.22	3.35
6	Natural mathematical/computer scientists	8: Other	384,817	432	43.82	3.39	38.25	3.39	15.72	3.39	2.08	3.39	0.13	3.39
6	Natural mathematical/computer scientists	9: Hispanic	116,875	196	38.63	4.19	40.54	4.19	16.31	4.19	4.52	4.19	0.00	4.19
6	Natural mathematical/computer scientists	10: NonHispanic	2,522,171	2,913	44.16	1.04	38.49	1.04	14.74	1.04	2.22	1.04	0.38	1.04
6	Natural mathematical/computer scientists	11: Insured	102,890	145	42.95	4.95	41.43	4.95	6.90	4.95	8.71	4.95	0.00	4.95
6	Natural mathematical/computer scientists	12: NonInsured	2,521,701	2,952	43.82	1.06	38.64	1.06	15.22	1.06	2.07	1.06	0.25	1.06
7	Health diagnosing occs	1: Total	1,056,918	1,155	63.79	1.56	26.29	1.56	8.29	1.56	1.49	1.56	0.13	1.56
7	Health diagnosing occs	2: Age 18-64	996,820	1,086	64.70	1.57	26.42	1.57	7.48	1.57	1.37	1.57	0.03	1.57
7	Health diagnosing occs	3: 65+	60,098	69	48.77	5.97	24.24	5.97	21.81	5.97	3.50	5.97	1.68	5.97
7	Health diagnosing occs	4: Male	761,612	776	66.57	1.87	24.76	1.87	7.32	1.87	1.17	1.87	0.18	1.87
7	Health diagnosing occs	5: Female	295,306	379	56.63	3.07	30.26	3.07	10.78	3.07	2.33	3.07	0.00	3.07
7	Health diagnosing occs	6: White	884,072	954	64.81	1.69	25.71	1.69	7.70	1.69	1.63	1.69	0.15	1.69
7	Health diagnosing occs	7: Black	40,194	61	52.04	8.17	30.75	8.17	17.21	8.17	0.00	8.17	0.00	8.17
7	Health diagnosing occs	8: Other	132,652	140	60.59	4.35	28.87	4.35	9.49	4.35	1.05	4.35	0.00	4.35
7	Health diagnosing occs	9: Hispanic	52,276	86	68.65	5.81	22.54	5.81	8.33	5.81	0.49	5.81	0.00	5.81
7	Health diagnosing occs	10: NonHispanic	1,006,155	1,070	63.60	1.60	26.45	1.60	8.28	1.60	1.54	1.60	0.13	1.60
7	Health diagnosing occs	11: Insured	35,448	50	52.16	7.84	35.02	7.84	11.40	7.84	1.42	7.84	0.00	7.84
7	Health diagnosing occs	12: NonInsured	1,019,957	1,104	64.14	1.59	26.03	1.59	8.19	1.59	1.50	1.59	0.13	1.59
8	Health assessment/treating occs	1: Total	3,315,826	4,022	43.64	0.93	36.70	0.93	17.04	0.93	2.34	0.93	0.28	0.93
8	Health assessment/treating occs	2: Age 18-64	3,253,575	3,927	43.82	0.95	36.75	0.95	16.94	0.95	2.24	0.95	0.25	0.95
8	Health assessment/treating occs	3: 65+	62,251	95	34.41	5.46	34.05	5.46	22.03	5.46	7.38	5.46	2.12	5.46
8	Health assessment/treating occs	4: Male	431,252	486	47.55	2.84	36.94	2.84	13.86	2.84	1.34	2.84	0.31	2.84
8	Health assessment/treating occs	5: Female	2,884,574	3,536	43.06	0.96	36.67	0.96	17.51	0.96	2.48	0.96	0.28	0.96
8	Health assessment/treating occs	6: White	2,816,883	3,299	45.22	1.01	36.59	1.01	15.92	1.01	1.99	1.01	0.28	1.01
8	Health assessment/treating occs	7: Black	315,571	505	31.98	2.45	37.34	2.45	25.38	2.45	5.01	2.45	0.29	2.45
8	Health assessment/treating occs	8: Other	183,372	218	39.43	3.62	37.29	3.62	19.81	3.62	3.10	3.62	0.37	3.62
8	Health assessment/treating occs	9: Hispanic	117,973	233	41.42	3.86	35.85	3.86	19.48	3.86	3.25	3.86	0.00	3.86
8	Health assessment/treating occs	10: NonHispanic	3,201,151	3,793	43.71	0.94	36.70	0.94	17.00	0.94	2.30	0.94	0.29	0.94
8	Health assessment/treating occs	11: Insured	129,391	203	36.52	4.24	37.63	4.24	22.05	4.24	3.41	4.24	0.38	4.24
8	Health assessment/treating occs	12: NonInsured	3,183,137	3,815	43.95	0.96	36.70	0.96	16.78	0.96	2.29	0.96	0.28	0.96
9	Teachers, librarians, counselors	1: Total	6,855,509	8,352	43.79	0.64	37.36	0.64	15.92	0.64	2.61	0.64	0.31	0.64
9	Teachers, librarians, counselors	2: Age 18-64	6,686,460	8,100	44.09	0.64	37.35	0.64	15.64	0.64	2.62	0.64	0.31	0.64
9	Teachers, librarians, counselors	3: 65+	169,049	252	32.13	3.08	37.96	3.08	27.27	3.08	2.33	3.08	0.31	3.08
9	Teachers, librarians, counselors	4: Male	2,158,751	2,406	45.35	1.29	36.93	1.29	14.80	1.29	2.69	1.29	0.23	1.29
9	Teachers, librarians, counselors	5: Female	4,696,758	5,946	43.08	0.73	37.56	0.73	16.44	0.73	2.57	0.73	0.34	0.73
9	Teachers, librarians, counselors	6: White	5,956,038	6,963	45.32	0.68	37.15	0.68	14.95	0.68	2.30	0.68	0.27	0.68
9	Teachers, librarians, counselors	7: Black	624,957	1,008	32.59	1.92	37.52	1.92	24.05	1.92	5.32	1.92	0.52	1.92
9	Teachers, librarians, counselors	8: Other	274,514	381	36.05	3.06	41.54	3.06	18.51	3.06	3.16	3.06	0.74	3.06
9	Teachers, librarians, counselors	9: Hispanic	357,451	699	36.49	2.01	37.42	2.01	21.65	2.01	4.09	2.01	0.34	2.01
9	Teachers, librarians, counselors	10: NonHispanic	6,503,818	7,659	44.21	0.66	37.36	0.66	15.60	0.66	2.53	0.66	0.31	0.66
9	Teachers, librarians, counselors	11: Insured	363,539	512	38.63	2.60	34.00	2.60	22.47	2.60	4.37	2.60	0.54	2.60
9	Teachers, librarians, counselors	12: NonInsured	6,486,210	7,834	44.07	0.65	37.55	0.65	15.57	0.65	2.51	0.65	0.30	0.65
10	Writers, artists, entertainers, athletes	1: Total	2,297,489	2,909	44.81	1.00	36.08	1.00	15.56	1.00	3.14	1.00	0.42	1.00
10	Writers, artists, entertainers, athletes	2: Age 18-64	2,206,085	2,778	45.25	1.04	35.87	1.04	15.42	1.04	3.03	1.04	0.43	1.04
10	Writers, artists, entertainers, athletes	3: 65+	91,404	131	34.24	4.48	41.10	4.48	18.91	4.48	5.76	4.48	0.00	4.48
10	Writers, artists, entertainers, athletes	4: Male	1,181,889	1,424	44.21	1.44	36.05	1.44	16.77	1.44	2.78	1.44	0.19	1.44
10	Writers, artists, entertainers, athletes	5: Female	1,115,600	1,485	45.45	1.40	36.11	1.40	14.27	1.40	3.52	1.40	0.65	1.40
10	Writers, artists, entertainers, athletes	6: White	2,035,832	2,521	45.56	1.06	36.54	1.06	14.75	1.06	2.76	1.06	0.40	1.06
10	Writers, artists, entertainers, athletes	7: Black	157,189	241	38.46	4.91	32.88	4.91	21.40	4.91	6.94	4.91	0.31	4.91
10	Writers, artists, entertainers, athletes	8: Other	104,468	147	39.84	4.92	32.03	4.92	22.42	4.92	4.80	4.92	0.92	4.92
10	Writers, artists, entertainers, athletes	9: Hispanic	160,192	303	35.63	3.24	34.87	3.24	20.64	3.24	8.37	3.24	0.48	3.24
10	Writers, artists, entertainers, athletes	10: NonHispanic	2,145,954	2,616	45.36	1.06	36.32	1.06	15.16	1.06	2.75	1.06	0.41	1.06
10	Writers, artists, entertainers, athletes	11: Insured	347,616	494	38.70	2.84	35.48	2.84	18.19	2.84	7.39	2.84	0.25	2.84
10	Writers, artists, entertainers, athletes	12: NonInsured	1,941,215	2,405	46.06	1.10	36.02	1.10	15.10	1.10	2.37	1.10	0.45	1.10
11	Other professional specialty occs	1: Total	2,934,984	3,654	42.57	0.91	35.72	0.91	17.60	0.91	3.28	0.91	0.83	0.91
11	Other professional specialty occs	2: Age 18-64	2,799,881	3,455	43.40	0.96	35.56	0.96	17.08	0.96	3.11	0.96	0.85	0.96
11	Other professional specialty occs	3: 65+	135,104	199	25.35	3.41	38.96	3.41	28.33	3.41	6.76	3.41	0.59	3.41
11	Other professional specialty occs	4: Male	1,491,040	1,650	45.92	1.30	35.38	1.30	14.71	1.30	3.06	1.30	0.92	1.30
11	Other professional specialty occs	5: Female	1,443,945	2,004	39.10	1.22	36.07	1.22	20.58	1.22	3.50	1.22	0.74	1.22
11	Other professional specialty occs	6: White	2,451,846	2,931	44.79	1.05	35.36	1.05	16.45	1.05	2.52	1.05	0.88	1.05
11	Other professional specialty occs	7: Black	353,568	573	29.28	1.91	34.66	1.91	27.23	1.91	8.49	1.91	0.33	1.91
11	Other professional specialty occs	8: Other	129,570	150	36.76	5.18	45.43	5.18	13.07	5.18	3.42	5.18	1.31	5.18
11	Other professional specialty occs	9: Hispanic	155,338	316	37.42	3.58	37.20	3.58	19.47	3.58	4.18	3.58	1.72	3.58
11	Other professional specialty occs	10: NonHispanic	2,782,536	3,341	42.81	0.95	35.68	0.95	17.50	0.95	3.22	0.95	0.78	0.95
11	Other professional specialty occs	11: Insured	160,033	217	31.32	3.93	38.44	3.93	24.14	3.93	5.24	3.93	0.86	3.93
11	Other professional specialty occs	12: NonInsured	2,772,062	3,434	43.26	0.91	35.52	0.91	17.22	0.91	3.17	0.91	0.83	0.91
12	Health technologists/technicians	1: Total	1,853,506	2,287	38.66	1.14	38.56	1.14	18.94	1.14	3.37	1.14	0.48	1.14
12	Health technologists/technicians	2: Age 18-64	1,829,476	2,247	38.94	1.15	38.56	1.15	18.72	1.15	3.31	1.15	0.48	1.15
12	Health technologists/technicians	3: 65+	24,030	40	17.53	6.46	38.66	6.46	35.68	6.46	8.12	6.46	0.00	6.46
12	Health technologists/technicians	4: Male	372,386	398	48.83	3.05	33.49	3.05	15.62	3.05	1.97	3.05	0.10	3.05
12	Health technologists/technicians	5: Female	1,481,120	1,889	36.10	1.22	39.83	1.22	19.77	1.22	3.72	1.22	0.57	1.22
12	Health technologists/technicians	6: White	1,497,406	1,752	39.37	1.30	39.51	1.30	17.45	1.30	3.23	1.30	0.45	1.30
12	Health technologists/technicians	7: Black	226,706	378	31.26	2.20	36.20	2.20	26.54	2.20	5.11	2.20	0.89	2.20
12	Health technologists/technicians	8: Other	129,394	157	43.45	5.09	31.72	5.09	22.88	5.09	1.95	5.09	0.00	5.09
12	Health technologists/technicians	9: Hispanic	145,419	289	38.15	3.55	30.25	3.55	26.53	3.55	4.48	3.55	0.60	3.55
12	Health technologists/technicians	10: NonHispanic	1,711,667	2,002	38.72	1.21	39.24	1.21	18.31	1.21	3.27	1.21	0.46	1.21
12	Health technologists/technicians	11: Insured	126,699	195	33.81	3.86	39.71	3.86	21.21	3.86	3.73	3.86	1.55	3.86
12	Health technologists/technicians	12: NonInsured	1,723,227	2,088	39.00	1.20	38.49	1.20	18.76	1.20	3.35	1.20	0.40	1.20
13	Technologists, technicians except health	1: Total	2,642,887	3,138	40.86	0.95	35.46	0.95	19.84	0.95	3.59	0.95	0.25	0.95
13	Technologists, technicians except health	2: Age 18-64	2,613,414	3,097	40.97	0.96	35.47	0.96	19.74	0.96	3.56	0.96	0.25	0.96
13	Technologists, technicians except health	3: 65+	29,473	41	30.49	7.50	34.91	7.50	28.21	7.50	6.39	7.50	0.00	7.50
13	Technologists, technicians except health	4: Male	1,802,576	2,011	42.38	1.20	35.01	1.20	18.73	1.20	3.70	1.20	0.18	1.20
13	Technologists, technicians except health	5: Female	840,312	1,127	37.60	1.58	36.43	1.58	22.22	1.58	3.37	1.58	0.39	1.58
13	Technologists, technicians except health	6: White	2,207,458	2,562	41.77	1.02	35.93	1.02	19.17	1.02	2.90	1.02	0.22	1.02
13	Technologists, technicians except health	7: Black	200,814	301	33.18	2.93	31.81	2.93	26.66	2.93	7.70	2.93	0.64	2.93
13	Technologists, technicians except health	8: Other	234,616	275	38.85	3.37	34.15	3.37	20.25	3.37	6.55	3.37	0.21	3.37
13	Technologists, technicians except health	9: Hispanic	167,733	313	40.96	3.26	29.64	3.26	27.25	3.26	1.91	3.26	0.24	3.26
13	Technologists, technicians except health	10: NonHispanic	2,480,282	2,831	40.81	0.99	35.85	0.99	19.37	0.99	3.72	0.99	0.25	0.99
13	Technologists, technicians except health	11: Insured	157,339	210	39.63	4.02	30.59	4.02	25.09	4.02	4.68	4.02	0.00	4.02
13	Technologists, technicians except health	12: NonInsured	2,480,421	2,922	40.98	0.98	35.78	0.98	19.48	0.98	3.51	0.98	0.27	0.98
14	Supervisors and proprietors	1: Total	3,830,633	4,381	38.94	0.88	36.08	0.88	20.73	0.88	3.82	0.88	0.43	0.88
14	Supervisors and proprietors	2: Age 18-64	3,711,800	4,219	39.54	0.90	36.04	0.90	20.43	0.90	3.59	0.90	0.40	0.90
14	Supervisors and proprietors	3: 65+	118,832	162	20.43	3.29	37.25	3.29	30.25	3.29	10.82	3.29	1.25	3.29
14	Supervisors and proprietors	4: Male	2,294,757	2,443	40.61	1.22	36.05	1.22	19.48	1.22	3.42	1.22	0.43	1.22
14	Supervisors and proprietors	5: Female	1,535,876	1,938	36.45	1.27	36.11	1.27	22.61	1.27	4.41	1.27	0.42	1.27
14	Supervisors and proprietors	6: White	3,378,987	3,783	39.22	0.94	36.29	0.94	20.40	0.94	3.75	0.94	0.34	0.94
14	Supervisors and proprietors	7: Black	238,639	347	37.16	2.99	35.74	2.99	21.38	2.99	5.24	2.99	0.48	2.99
14	Supervisors and proprietors	8: Other	213,007	251	36.57	3.38	33.00	3.38	25.36	3.38	3.33	3.38	1.74	3.38
14	Supervisors and proprietors	9: Hispanic	270,988	518	36.12	2.51	33.27	2.51	26.35	2.51	3.88	2.51	0.39	2.51
14	Supervisors and proprietors	10: NonHispanic	3,565,711	3,871	39.21	0.91	36.27	0.91	20.28	0.91	3.81	0.91	0.43	0.91
14	Supervisors and proprietors	11: Insured	459,066	573	35.37	2.41	32.49	2.41	23.71	2.41	6.04	2.41	2.39	2.41
14	Supervisors and proprietors	12: NonInsured	3,365,499	3,800	39.37	0.96	36.59	0.96	20.36	0.96	3.52	0.96	0.16	0.96
15	Sales representatives, commodities and finance	1: Total	4,213,786	4,845	46.53	0.79	33.14	0.79	17.51	0.79	2.61	0.79	0.21	0.79
15	Sales representatives, commodities and finance	2: Age 18-64	4,028,074	4,602	47.10	0.81	32.99	0.81	17.20	0.81	2.52	0.81	0.20	0.81
15	Sales representatives, commodities and finance	3: 65+	185,712	243	34.14	3.31	36.35	3.31	24.23	3.31	4.72	3.31	0.56	3.31
15	Sales representatives, commodities and finance	4: Male	2,641,023	2,795	47.02	1.03	33.54	1.03	16.94	1.03	2.37	1.03	0.13	1.03
15	Sales representatives, commodities and finance	5: Female	1,572,763	2,050	45.71	1.27	32.46	1.27	18.46	1.27	3.03	1.27	0.35	1.27
15	Sales representatives, commodities and finance	6: White	3,837,571	4,336	47.29	0.82	33.17	0.82	16.99	0.82	2.32	0.82	0.23	0.82
15	Sales representatives, commodities and finance	7: Black	215,895	309	38.64	3.47	33.89	3.47	21.63	3.47	5.85	3.47	0.00	3.47
15	Sales representatives, commodities and finance	8: Other	160,320	200	38.92	4.53	31.40	4.53	24.42	4.53	5.27	4.53	0.00	4.53
15	Sales representatives, commodities and finance	9: Hispanic	256,885	443	42.23	2.94	34.09	2.94	18.15	2.94	4.68	2.94	0.85	2.94
15	Sales representatives, commodities and finance	10: NonHispanic	3,966,590	4,409	46.87	0.81	33.03	0.81	17.45	0.81	2.47	0.81	0.17	0.81
15	Sales representatives, commodities and finance	11: Insured	366,566	479	39.30	2.67	31.14	2.67	23.74	2.67	5.11	2.67	0.72	2.67
15	Sales representatives, commodities and finance	12: NonInsured	3,837,531	4,359	47.16	0.81	33.37	0.81	16.92	0.81	2.38	0.81	0.16	0.81
16	Other sales	1: Total	6,144,885	7,304	35.94	0.68	33.48	0.68	24.56	0.68	5.34	0.68	0.68	0.68
16	Other sales	2: Age 18-64	5,844,665	6,870	36.79	0.70	33.26	0.70	24.17	0.70	5.12	0.70	0.66	0.70
16	Other sales	3: 65+	300,220	434	19.48	2.08	37.72	2.08	32.03	2.08	9.68	2.08	1.09	2.08
16	Other sales	4: Male	2,346,815	2,481	40.58	1.13	33.92	1.13	20.60	1.13	4.36	1.13	0.53	1.13
16	Other sales	5: Female	3,798,070	4,823	33.08	0.84	33.20	0.84	27.00	0.84	5.95	0.84	0.77	0.84
16	Other sales	6: White	4,976,057	5,726	36.39	0.78	33.90	0.78	23.80	0.78	5.21	0.78	0.70	0.78
16	Other sales	7: Black	725,994	1,030	34.67	1.99	30.18	1.99	28.99	1.99	5.84	1.99	0.32	1.99
16	Other sales	8: Other	442,834	548	33.02	2.52	34.21	2.52	25.80	2.52	5.99	2.52	0.99	2.52
16	Other sales	9: Hispanic	718,330	1,349	34.95	1.81	29.98	1.81	27.36	1.81	7.06	1.81	0.65	1.81
16	Other sales	10: NonHispanic	5,447,222	5,977	36.06	0.74	33.98	0.74	24.19	0.74	5.09	0.74	0.68	0.74
16	Other sales	11: Insured	1,407,864	1,833	31.13	1.31	34.05	1.31	27.19	1.31	6.79	1.31	0.85	1.31
16	Other sales	12: NonInsured	4,716,353	5,449	37.40	0.80	33.26	0.80	23.77	0.80	4.93	0.80	0.63	0.80
17	Computer equipment operators	1: Total	377,669	469	34.97	2.64	35.89	2.64	23.08	2.64	5.93	2.64	0.13	2.64
17	Computer equipment operators	2: Age 18-64	376,872	468	35.04	2.64	35.75	2.64	23.13	2.64	5.94	2.64	0.13	2.64
17	Computer equipment operators	3: 65+	798	1	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00
17	Computer equipment operators	4: Male	173,689	186	38.04	4.46	38.14	4.46	18.69	4.46	4.84	4.46	0.29	4.46
17	Computer equipment operators	5: Female	203,980	283	32.36	3.23	33.97	3.23	26.82	3.23	6.86	3.23	0.00	3.23
17	Computer equipment operators	6: White	288,533	347	31.62	3.00	37.94	3.00	23.58	3.00	6.69	3.00	0.18	3.00
17	Computer equipment operators	7: Black	56,913	84	46.52	5.93	25.68	5.93	23.44	5.93	4.36	5.93	0.00	5.93
17	Computer equipment operators	8: Other	32,223	38	44.58	9.82	35.57	9.82	17.99	9.82	1.86	9.82	0.00	9.82
17	Computer equipment operators	9: Hispanic	24,212	48	32.35	8.60	55.65	8.60	8.91	8.60	1.01	8.60	2.09	8.60
17	Computer equipment operators	10: NonHispanic	353,457	421	35.15	2.77	34.53	2.77	24.05	2.77	6.27	2.77	0.00	2.77
17	Computer equipment operators	11: Insured	21,895	33	20.18	7.23	45.95	7.23	25.96	7.23	7.90	7.23	0.00	7.23
17	Computer equipment operators	12: NonInsured	355,774	436	35.88	2.75	35.27	2.75	22.90	2.75	5.81	2.75	0.14	2.75
18	Secretaries, stenographers and typists	1: Total	2,659,129	3,377	35.47	0.90	36.60	0.90	23.39	0.90	4.26	0.90	0.28	0.90
18	Secretaries, stenographers and typists	2: Age 18-64	2,555,277	3,215	36.00	0.92	36.73	0.92	22.75	0.92	4.25	0.92	0.27	0.92
18	Secretaries, stenographers and typists	3: 65+	103,852	162	22.22	3.47	33.31	3.47	39.37	3.47	4.65	3.47	0.45	3.47
18	Secretaries, stenographers and typists	4: Male	58,321	74	41.17	6.67	39.00	6.67	15.84	6.67	3.02	6.67	0.97	6.67
18	Secretaries, stenographers and typists	5: Female	2,600,808	3,303	35.34	0.91	36.55	0.91	23.56	0.91	4.29	0.91	0.26	0.91
18	Secretaries, stenographers and typists	6: White	2,329,539	2,827	36.97	0.98	36.02	0.98	22.53	0.98	4.18	0.98	0.30	0.98
18	Secretaries, stenographers and typists	7: Black	236,394	402	22.19	2.54	40.83	2.54	31.56	2.54	5.26	2.54	0.16	2.54
18	Secretaries, stenographers and typists	8: Other	93,197	148	31.58	5.22	40.23	5.22	24.26	5.22	3.92	5.22	0.00	5.22
18	Secretaries, stenographers and typists	9: Hispanic	206,355	444	36.55	2.67	34.02	2.67	25.73	2.67	3.29	2.67	0.40	2.67
18	Secretaries, stenographers and typists	10: NonHispanic	2,459,840	2,944	35.39	0.94	36.76	0.94	23.25	0.94	4.33	0.94	0.26	0.94
18	Secretaries, stenographers and typists	11: Insured	199,851	287	30.43	3.52	35.45	3.52	27.09	3.52	5.53	3.52	1.51	3.52
18	Secretaries, stenographers and typists	12: NonInsured	2,452,213	3,079	35.86	0.91	36.75	0.91	23.04	0.91	4.17	0.91	0.18	0.91
19	Financial records processing occs	1: Total	2,091,637	2,655	34.29	1.11	37.72	1.11	23.45	1.11	4.23	1.11	0.30	1.11
19	Financial records processing occs	2: Age 18-64	1,990,383	2,500	34.70	1.14	37.76	1.14	23.23	1.14	4.04	1.14	0.28	1.14
19	Financial records processing occs	3: 65+	101,254	155	26.19	3.83	37.07	3.83	27.84	3.83	8.09	3.83	0.80	3.83
19	Financial records processing occs	4: Male	213,438	250	37.94	3.45	28.51	3.45	27.31	3.45	4.99	3.45	1.25	3.45
19	Financial records processing occs	5: Female	1,878,199	2,405	33.88	1.17	38.77	1.17	23.01	1.17	4.15	1.17	0.20	1.17
19	Financial records processing occs	6: White	1,764,073	2,201	33.85	1.20	38.64	1.20	22.96	1.20	4.25	1.20	0.30	1.20
19	Financial records processing occs	7: Black	201,674	301	34.64	3.44	33.41	3.44	27.51	3.44	4.44	3.44	0.00	3.44
19	Financial records processing occs	8: Other	125,890	153	39.94	4.93	31.79	4.93	23.78	4.93	3.65	4.93	0.83	4.93
19	Financial records processing occs	9: Hispanic	159,988	329	28.97	2.90	37.26	2.90	29.62	2.90	3.52	2.90	0.63	2.90
19	Financial records processing occs	10: NonHispanic	1,932,602	2,328	34.71	1.18	37.74	1.18	22.98	1.18	4.29	1.18	0.28	1.18
19	Financial records processing occs	11: Insured	166,143	239	33.24	3.69	31.96	3.69	26.27	3.69	7.54	3.69	0.98	3.69
19	Financial records processing occs	12: NonInsured	1,924,542	2,414	34.40	1.16	38.24	1.16	23.17	1.16	3.95	1.16	0.24	1.16
20	Mail and message distributing	1: Total	882,798	1,085	34.20	1.87	35.28	1.87	25.30	1.87	4.66	1.87	0.56	1.87
20	Mail and message distributing	2: Age 18-64	850,683	1,041	34.73	1.95	34.98	1.95	25.21	1.95	4.50	1.95	0.58	1.95
20	Mail and message distributing	3: 65+	32,115	44	20.11	6.96	43.35	6.96	27.52	6.96	9.02	6.96	0.00	6.96
20	Mail and message distributing	4: Male	512,254	584	36.26	2.44	33.50	2.44	25.45	2.44	3.97	2.44	0.82	2.44
20	Mail and message distributing	5: Female	370,544	501	31.36	2.71	37.75	2.71	25.09	2.71	5.61	2.71	0.19	2.71
20	Mail and message distributing	6: White	634,538	748	34.70	2.18	36.97	2.18	23.79	2.18	4.28	2.18	0.27	2.18
20	Mail and message distributing	7: Black	193,811	271	34.64	4.07	27.44	4.07	29.41	4.07	6.86	4.07	1.65	4.07
20	Mail and message distributing	8: Other	54,448	66	26.88	6.46	43.58	6.46	28.25	6.46	1.30	6.46	0.00	6.46
20	Mail and message distributing	9: Hispanic	77,509	136	39.03	5.24	25.35	5.24	26.30	5.24	7.48	5.24	1.85	5.24
20	Mail and message distributing	10: NonHispanic	805,289	949	33.74	1.98	36.24	1.98	25.20	1.98	4.39	1.98	0.43	1.98
20	Mail and message distributing	11: Insured	82,670	104	32.15	5.18	35.30	5.18	26.10	5.18	3.25	5.18	3.20	5.18
20	Mail and message distributing	12: NonInsured	800,128	981	34.41	1.96	35.28	1.96	25.22	1.96	4.81	1.96	0.28	1.96
21	Other administrative support	1: Total	11,298,492	14,313	34.10	0.48	37.51	0.48	23.42	0.48	4.50	0.48	0.47	0.48
21	Other administrative support	2: Age 18-64	10,982,259	13,829	34.52	0.49	37.51	0.49	23.18	0.49	4.34	0.49	0.44	0.49
21	Other administrative support	3: 65+	316,233	484	19.37	2.04	37.41	2.04	31.80	2.04	10.19	2.04	1.24	2.04
21	Other administrative support	4: Male	2,982,023	3,393	36.04	0.96	36.74	0.96	22.25	0.96	4.54	0.96	0.43	0.96
21	Other administrative support	5: Female	8,316,469	10,920	33.40	0.54	37.79	0.54	23.84	0.54	4.49	0.54	0.48	0.54
21	Other administrative support	6: White	9,081,978	10,907	34.82	0.56	38.03	0.56	22.47	0.56	4.23	0.56	0.45	0.56
21	Other administrative support	7: Black	1,621,060	2,534	30.83	1.01	35.76	1.01	27.37	1.01	5.60	1.01	0.45	1.01
21	Other administrative support	8: Other	595,454	872	31.91	2.02	34.41	2.02	27.26	2.02	5.64	2.02	0.79	2.02
21	Other administrative support	9: Hispanic	1,179,444	2,354	33.64	1.29	33.31	1.29	26.00	1.29	6.37	1.29	0.68	1.29
21	Other administrative support	10: NonHispanic	10,145,122	11,986	34.10	0.51	37.98	0.51	23.17	0.51	4.29	0.51	0.46	0.51
21	Other administrative support	11: Insured	1,117,598	1,569	31.39	1.51	33.97	1.51	27.46	1.51	6.70	1.51	0.48	1.51
21	Other administrative support	12: NonInsured	10,154,820	12,717	34.45	0.50	37.91	0.50	22.94	0.50	4.26	0.50	0.45	0.50
22	Private household occs	1: Total	683,280	1,055	28.68	1.82	30.84	1.82	28.25	1.82	11.12	1.82	1.11	1.82
22	Private household occs	2: Age 18-64	627,209	949	29.49	1.95	30.87	1.95	28.04	1.95	10.59	1.95	1.01	1.95
22	Private household occs	3: 65+	56,071	106	19.60	4.61	30.50	4.61	30.60	4.61	17.00	4.61	2.29	4.61
22	Private household occs	4: Male	35,450	42	29.32	7.53	37.17	7.53	14.19	7.53	17.79	7.53	1.54	7.53
22	Private household occs	5: Female	647,831	1,013	28.64	1.87	30.49	1.87	29.02	1.87	10.75	1.87	1.09	1.87
22	Private household occs	6: White	523,373	788	29.47	2.02	32.00	2.02	27.23	2.02	10.29	2.02	1.01	2.02
22	Private household occs	7: Black	85,868	149	18.85	4.02	28.63	4.02	29.48	4.02	20.34	4.02	2.70	4.02
22	Private household occs	8: Other	74,039	118	34.51	5.96	25.23	5.96	34.00	5.96	6.27	5.96	0.00	5.96
22	Private household occs	9: Hispanic	227,933	494	26.10	2.65	28.75	2.65	30.52	2.65	14.25	2.65	0.37	2.65
22	Private household occs	10: NonHispanic	459,182	565	29.72	2.53	32.34	2.53	26.91	2.53	9.56	2.53	1.47	2.53
22	Private household occs	11: Insured	310,784	559	28.03	2.45	28.06	2.45	29.87	2.45	12.78	2.45	1.27	2.45
22	Private household occs	12: NonInsured	368,661	492	29.53	2.59	32.61	2.59	27.14	2.59	9.72	2.59	1.00	2.59
23	Police and firefighters	1: Total	1,434,063	1,639	43.20	1.49	37.64	1.49	16.06	1.49	2.74	1.49	0.37	1.49
23	Police and firefighters	2: Age 18-64	1,421,170	1,622	43.41	1.49	37.65	1.49	15.93	1.49	2.68	1.49	0.33	1.49
23	Police and firefighters	3: 65+	12,893	17	19.46	9.39	36.55	9.39	30.70	9.39	9.08	9.39	4.20	9.39
23	Police and firefighters	4: Male	1,215,816	1,315	44.04	1.65	37.60	1.65	15.23	1.65	2.72	1.65	0.41	1.65
23	Police and firefighters	5: Female	218,247	324	38.48	3.00	37.88	3.00	20.67	3.00	2.83	3.00	0.14	3.00
23	Police and firefighters	6: White	1,145,335	1,252	45.04	1.68	36.84	1.68	15.14	1.68	2.54	1.68	0.43	1.68
23	Police and firefighters	7: Black	228,841	304	32.26	3.03	42.12	3.03	21.35	3.03	4.14	3.03	0.13	3.03
23	Police and firefighters	8: Other	59,887	83	49.67	5.88	35.81	5.88	13.42	5.88	1.10	5.88	0.00	5.88
23	Police and firefighters	9: Hispanic	117,106	215	45.82	3.94	36.14	3.94	13.25	3.94	4.79	3.94	0.00	3.94
23	Police and firefighters	10: NonHispanic	1,317,803	1,425	43.00	1.55	37.75	1.55	16.30	1.55	2.55	1.55	0.40	1.55
23	Police and firefighters	11: Insured	26,864	36	46.86	9.55	31.46	9.55	14.57	9.55	7.11	9.55	0.00	9.55
23	Police and firefighters	12: NonInsured	1,406,353	1,602	43.09	1.51	37.78	1.51	16.10	1.51	2.66	1.51	0.38	1.51
24	Other protective service occs	1: Total	966,110	1,225	31.44	1.67	34.02	1.67	25.08	1.67	8.33	1.67	1.12	1.67
24	Other protective service occs	2: Age 18-64	878,520	1,108	32.88	1.81	33.89	1.81	23.99	1.81	8.04	1.81	1.21	1.81
24	Other protective service occs	3: 65+	87,590	117	16.97	4.06	35.41	4.06	36.06	4.06	11.29	4.06	0.27	4.06
24	Other protective service occs	4: Male	701,030	848	33.41	1.96	34.12	1.96	23.92	1.96	7.86	1.96	0.69	1.96
24	Other protective service occs	5: Female	265,080	377	26.24	2.90	33.77	2.90	28.17	2.90	9.57	2.90	2.26	2.90
24	Other protective service occs	6: White	647,619	787	29.26	1.93	36.21	1.93	25.01	1.93	8.22	1.93	1.29	1.93
24	Other protective service occs	7: Black	228,999	340	34.08	3.29	28.65	3.29	27.01	3.29	9.17	3.29	1.09	3.29
24	Other protective service occs	8: Other	89,492	98	40.45	6.45	31.92	6.45	20.66	6.45	6.97	6.45	0.00	6.45
24	Other protective service occs	9: Hispanic	112,822	212	30.25	3.61	30.18	3.61	25.96	3.61	12.49	3.61	1.13	3.61
24	Other protective service occs	10: NonHispanic	855,936	1,016	31.50	1.80	34.49	1.80	25.05	1.80	7.84	1.80	1.12	1.80
24	Other protective service occs	11: Insured	200,248	288	35.58	3.61	30.08	3.61	23.19	3.61	9.60	3.61	1.55	3.61
24	Other protective service occs	12: NonInsured	763,214	934	30.46	1.84	35.11	1.84	25.49	1.84	7.93	1.84	1.01	1.84
25	Food service	1: Total	5,354,810	6,679	32.74	0.71	33.53	0.71	27.14	0.71	5.94	0.71	0.65	0.71
25	Food service	2: Age 18-64	5,230,505	6,469	33.05	0.72	33.56	0.72	26.87	0.72	5.87	0.72	0.66	0.72
25	Food service	3: 65+	124,306	210	19.72	3.14	32.48	3.14	38.56	3.14	8.95	3.14	0.30	3.14
25	Food service	4: Male	2,193,313	2,516	36.51	1.15	33.20	1.15	25.47	1.15	4.35	1.15	0.47	1.15
25	Food service	5: Female	3,161,497	4,163	30.12	0.93	33.76	0.93	28.29	0.93	7.05	0.93	0.78	0.93
25	Food service	6: White	4,240,909	5,133	32.99	0.79	34.47	0.79	26.33	0.79	5.59	0.79	0.61	0.79
25	Food service	7: Black	653,823	949	29.29	1.97	29.84	1.97	31.17	1.97	8.82	1.97	0.88	1.97
25	Food service	8: Other	460,078	597	35.29	2.56	30.08	2.56	28.83	2.56	5.11	2.56	0.69	2.56
25	Food service	9: Hispanic	967,015	1,727	34.14	1.51	30.85	1.51	28.18	1.51	5.96	1.51	0.87	1.51
25	Food service	10: NonHispanic	4,415,946	4,978	32.37	0.83	34.14	0.83	26.97	0.83	5.92	0.83	0.60	0.83
25	Food service	11: Insured	2,079,805	2,752	31.09	1.14	32.39	1.14	28.87	1.14	6.81	1.14	0.84	1.14
25	Food service	12: NonInsured	3,246,854	3,901	33.88	0.90	34.23	0.90	25.94	0.90	5.42	0.90	0.54	0.90
26	Health service	1: Total	2,630,637	3,723	26.31	0.88	31.83	0.88	31.31	0.88	9.40	0.88	1.16	0.88
26	Health service	2: Age 18-64	2,550,118	3,567	26.59	0.90	31.87	0.90	31.11	0.90	9.26	0.90	1.17	0.90
26	Health service	3: 65+	80,519	156	17.43	3.19	30.59	3.19	37.65	3.19	13.71	3.19	0.62	3.19
26	Health service	4: Male	285,018	352	32.37	2.69	32.30	2.69	30.01	2.69	4.93	2.69	0.39	2.69
26	Health service	5: Female	2,345,619	3,371	25.57	0.96	31.77	0.96	31.47	0.96	9.94	0.96	1.25	0.96
26	Health service	6: White	1,712,493	2,214	25.40	1.19	33.28	1.19	31.44	1.19	8.65	1.19	1.23	1.19
26	Health service	7: Black	760,702	1,253	27.93	1.47	28.98	1.47	31.69	1.47	10.50	1.47	0.91	1.47
26	Health service	8: Other	157,442	256	28.27	3.57	29.86	3.57	28.17	3.57	12.18	3.57	1.52	3.57
26	Health service	9: Hispanic	285,511	670	25.13	2.19	26.18	2.19	34.80	2.19	13.04	2.19	0.85	2.19
26	Health service	10: NonHispanic	2,352,262	3,058	26.52	0.97	32.52	0.97	30.85	0.97	8.93	0.97	1.19	0.97
26	Health service	11: Insured	641,577	977	23.61	1.57	30.01	1.57	32.44	1.57	11.69	1.57	2.26	1.57
26	Health service	12: NonInsured	1,981,924	2,741	27.09	1.06	32.42	1.06	31.00	1.06	8.69	1.06	0.80	1.06
27	Cleaning and building service	1: Total	3,081,622	4,178	26.62	0.90	31.97	0.90	30.75	0.90	9.49	0.90	1.16	0.90
27	Cleaning and building service	2: Age 18-64	2,937,296	3,964	27.14	0.94	32.07	0.94	30.25	0.94	9.51	0.94	1.03	0.94
27	Cleaning and building service	3: 65+	144,326	214	16.11	2.89	30.06	2.89	40.95	2.89	9.18	2.89	3.70	2.89
27	Cleaning and building service	4: Male	1,657,516	2,022	28.84	1.29	31.57	1.29	30.60	1.29	8.04	1.29	0.96	1.29
27	Cleaning and building service	5: Female	1,424,106	2,156	24.04	1.06	32.45	1.06	30.93	1.06	11.19	1.06	1.39	1.06
27	Cleaning and building service	6: White	2,214,894	2,879	27.98	1.13	33.08	1.13	29.44	1.13	8.44	1.13	1.06	1.13
27	Cleaning and building service	7: Black	612,296	935	22.51	1.75	29.97	1.75	32.73	1.75	13.27	1.75	1.52	1.75
27	Cleaning and building service	8: Other	254,433	364	24.74	2.77	27.16	2.77	37.37	2.77	9.62	2.77	1.12	2.77
27	Cleaning and building service	9: Hispanic	725,768	1,361	29.16	1.63	29.43	1.63	31.36	1.63	9.34	1.63	0.71	1.63
27	Cleaning and building service	10: NonHispanic	2,364,007	2,823	25.87	1.10	32.84	1.10	30.49	1.10	9.51	1.10	1.29	1.10
27	Cleaning and building service	11: Insured	830,231	1,224	24.60	1.61	30.86	1.61	31.41	1.61	11.42	1.61	1.71	1.61
27	Cleaning and building service	12: NonInsured	2,243,239	2,948	27.34	1.03	32.30	1.03	30.59	1.03	8.82	1.03	0.96	1.03
28	Personal service	1: Total	2,745,316	3,657	33.90	0.97	35.03	0.97	24.76	0.97	5.68	0.97	0.63	0.97
28	Personal service	2: Age 18-64	2,616,185	3,445	34.49	1.01	35.08	1.01	24.46	1.01	5.33	1.01	0.64	1.01
28	Personal service	3: 65+	129,131	212	21.96	2.89	34.03	2.89	30.86	2.89	12.83	2.89	0.32	2.89
28	Personal service	4: Male	483,799	586	36.69	2.34	33.23	2.34	24.85	2.34	4.96	2.34	0.27	2.34
28	Personal service	5: Female	2,261,517	3,071	33.30	1.04	35.42	1.04	24.74	1.04	5.84	1.04	0.70	1.04
28	Personal service	6: White	2,134,400	2,714	34.68	1.14	35.52	1.14	24.06	1.14	5.17	1.14	0.58	1.14
28	Personal service	7: Black	405,942	662	29.88	2.44	33.27	2.44	28.22	2.44	7.63	2.44	1.01	2.44
28	Personal service	8: Other	204,974	281	33.74	3.75	33.42	3.75	25.20	3.75	7.23	3.75	0.41	3.75
28	Personal service	9: Hispanic	313,360	661	31.70	2.54	30.70	2.54	27.96	2.54	9.42	2.54	0.21	2.54
28	Personal service	10: NonHispanic	2,443,957	3,007	34.11	1.04	35.70	1.04	24.30	1.04	5.22	1.04	0.68	1.04
28	Personal service	11: Insured	608,196	932	29.59	1.74	33.68	1.74	27.79	1.74	8.17	1.74	0.77	1.74
28	Personal service	12: NonInsured	2,125,120	2,714	35.21	1.11	35.29	1.11	23.94	1.11	4.96	1.11	0.59	1.11
29	Farm operators and managers	1: Total	854,630	936	32.79	1.77	34.58	1.77	27.18	1.77	4.82	1.77	0.62	1.77
29	Farm operators and managers	2: Age 18-64	732,533	786	34.75	2.07	35.43	2.07	25.64	2.07	3.73	2.07	0.45	2.07
29	Farm operators and managers	3: 65+	122,096	150	21.07	2.88	29.52	2.88	36.41	2.88	11.37	2.88	1.64	2.88
29	Farm operators and managers	4: Male	712,910	771	32.60	1.94	34.79	1.94	27.66	1.94	4.26	1.94	0.68	1.94
29	Farm operators and managers	5: Female	141,720	165	33.77	3.65	33.52	3.65	24.75	3.65	7.65	3.65	0.31	3.65
29	Farm operators and managers	6: White	833,324	906	32.70	1.79	34.67	1.79	27.51	1.79	4.49	1.79	0.64	1.79
29	Farm operators and managers	7: Black	9,655	11	27.24	13.86	40.49	13.86	0.00	13.86	32.26	13.86	0.00	13.86
29	Farm operators and managers	8: Other	11,651	19	44.31	13.12	23.64	13.12	26.16	13.12	5.89	13.12	0.00	13.12
29	Farm operators and managers	9: Hispanic	31,522	62	26.77	6.44	31.24	6.44	37.57	6.44	4.42	6.44	0.00	6.44
29	Farm operators and managers	10: NonHispanic	824,925	876	33.09	1.82	34.71	1.82	26.72	1.82	4.83	1.82	0.64	1.82
29	Farm operators and managers	11: Insured	128,177	159	27.13	4.13	28.67	4.13	34.81	4.13	8.66	4.13	0.73	4.13
29	Farm operators and managers	12: NonInsured	724,636	775	33.71	1.96	35.63	1.96	25.90	1.96	4.16	1.96	0.60	1.96
30	Farm workers and other agricultural workers	1: Total	1,972,088	2,643	32.34	1.07	34.00	1.07	25.91	1.07	7.23	1.07	0.51	1.07
30	Farm workers and other agricultural workers	2: Age 18-64	1,899,827	2,528	32.58	1.10	34.26	1.10	25.49	1.10	7.13	1.10	0.53	1.10
30	Farm workers and other agricultural workers	3: 65+	72,262	115	26.02	4.54	27.18	4.54	36.97	4.54	9.83	4.54	0.00	4.54
30	Farm workers and other agricultural workers	4: Male	1,604,813	2,134	32.77	1.27	34.38	1.27	24.92	1.27	7.43	1.27	0.50	1.27
30	Farm workers and other agricultural workers	5: Female	367,276	509	30.47	2.71	32.35	2.71	30.27	2.71	6.36	2.71	0.55	2.71
30	Farm workers and other agricultural workers	6: White	1,717,576	2,229	32.80	1.17	34.39	1.17	25.64	1.17	6.73	1.17	0.44	1.17
30	Farm workers and other agricultural workers	7: Black	122,334	190	29.98	3.75	28.64	3.75	29.36	3.75	9.97	3.75	2.06	3.75
30	Farm workers and other agricultural workers	8: Other	132,178	224	28.63	5.14	33.98	5.14	26.20	5.14	11.19	5.14	0.00	5.14
30	Farm workers and other agricultural workers	9: Hispanic	719,479	1,282	26.55	1.50	31.93	1.50	32.45	1.50	8.79	1.50	0.28	1.50
30	Farm workers and other agricultural workers	10: NonHispanic	1,263,296	1,372	35.62	1.47	35.04	1.47	22.41	1.47	6.29	1.47	0.64	1.47
30	Farm workers and other agricultural workers	11: Insured	845,532	1,264	27.77	1.79	32.42	1.79	30.85	1.79	8.54	1.79	0.41	1.79
30	Farm workers and other agricultural workers	12: NonInsured	1,115,871	1,368	35.83	1.53	35.36	1.53	21.92	1.53	6.31	1.53	0.59	1.53
31	Forestry and fishing occs	1: Total	148,887	163	35.06	4.59	34.25	4.59	24.17	4.59	5.49	4.59	1.02	4.59
31	Forestry and fishing occs	2: Age 18-64	139,210	153	35.45	4.93	36.24	4.93	21.35	4.93	5.87	4.93	1.09	4.93
31	Forestry and fishing occs	3: 65+	9,677	10	29.57	16.31	5.65	16.31	64.77	16.31	0.00	16.31	0.00	16.31
31	Forestry and fishing occs	4: Male	143,549	154	35.59	4.83	33.29	4.83	24.37	4.83	5.70	4.83	1.06	4.83
31	Forestry and fishing occs	5: Female	5,338	9	20.97	13.76	60.28	13.76	18.75	13.76	0.00	13.76	0.00	13.76
31	Forestry and fishing occs	6: White	132,443	142	34.13	4.85	34.98	4.85	24.50	4.85	5.42	4.85	0.97	4.85
31	Forestry and fishing occs	7: Black	9,753	14	27.90	15.19	26.77	15.19	36.28	15.19	6.65	15.19	2.40	15.19
31	Forestry and fishing occs	8: Other	6,691	7	63.94	24.12	30.76	24.12	0.00	24.12	5.30	24.12	0.00	24.12
31	Forestry and fishing occs	9: Hispanic	7,494	13	7.25	7.02	74.81	7.02	5.03	7.02	12.91	7.02	0.00	7.02
31	Forestry and fishing occs	10: NonHispanic	141,987	151	36.80	4.90	31.97	4.90	25.08	4.90	5.08	4.90	1.07	4.90
31	Forestry and fishing occs	11: Insured	65,906	72	37.24	7.26	29.27	7.26	28.59	7.26	4.55	7.26	0.35	7.26
31	Forestry and fishing occs	12: NonInsured	82,388	90	32.86	5.70	38.49	5.70	20.81	5.70	6.29	5.70	1.56	5.70
32	Mechanics and repairers	1: Total	4,666,155	5,147	33.93	0.80	36.24	0.80	24.05	0.80	5.08	0.80	0.70	0.80
32	Mechanics and repairers	2: Age 18-64	4,580,369	5,033	34.09	0.81	36.42	0.81	23.76	0.81	5.06	0.81	0.66	0.81
32	Mechanics and repairers	3: 65+	85,786	114	25.60	4.21	26.63	4.21	39.20	4.21	5.92	4.21	2.65	4.21
32	Mechanics and repairers	4: Male	4,460,800	4,860	34.00	0.83	36.20	0.83	23.94	0.83	5.19	0.83	0.66	0.83
32	Mechanics and repairers	5: Female	205,355	287	32.44	3.22	36.99	3.22	26.30	3.22	2.71	3.22	1.56	3.22
32	Mechanics and repairers	6: White	4,050,909	4,392	34.14	0.86	36.72	0.86	23.62	0.86	4.81	0.86	0.71	0.86
32	Mechanics and repairers	7: Black	382,351	483	31.76	2.52	35.55	2.52	26.06	2.52	5.73	2.52	0.90	2.52
32	Mechanics and repairers	8: Other	232,895	272	33.93	3.57	29.04	3.57	28.08	3.57	8.80	3.57	0.15	3.57
32	Mechanics and repairers	9: Hispanic	515,441	882	35.16	1.97	31.90	1.97	25.53	1.97	6.50	1.97	0.91	1.97
32	Mechanics and repairers	10: NonHispanic	4,165,888	4,275	33.73	0.88	36.67	0.88	24.04	0.88	4.89	0.88	0.67	0.88
32	Mechanics and repairers	11: Insured	733,109	929	31.09	1.85	33.93	1.85	27.73	1.85	6.44	1.85	0.80	1.85
32	Mechanics and repairers	12: NonInsured	3,917,871	4,208	34.52	0.87	36.79	0.87	23.16	0.87	4.84	0.87	0.68	0.87
33	Construction and extractive trades	1: Total	5,788,865	6,572	35.47	0.71	35.53	0.71	23.87	0.71	4.68	0.71	0.45	0.71
33	Construction and extractive trades	2: Age 18-64	5,695,354	6,452	35.70	0.72	35.57	0.72	23.64	0.72	4.62	0.72	0.46	0.72
33	Construction and extractive trades	3: 65+	93,511	120	21.53	4.26	32.72	4.26	37.62	4.26	8.13	4.26	0.00	4.26
33	Construction and extractive trades	4: Male	5,638,501	6,380	35.54	0.72	35.54	0.72	23.79	0.72	4.66	0.72	0.47	0.72
33	Construction and extractive trades	5: Female	150,363	192	32.86	4.39	35.12	4.39	26.64	4.39	5.39	4.39	0.00	4.39
33	Construction and extractive trades	6: White	5,114,545	5,663	36.03	0.79	35.83	0.79	23.22	0.79	4.49	0.79	0.43	0.79
33	Construction and extractive trades	7: Black	411,605	534	32.50	2.17	33.70	2.17	28.42	2.17	4.52	2.17	0.85	2.17
33	Construction and extractive trades	8: Other	262,715	375	29.29	2.79	32.53	2.79	29.34	2.79	8.60	2.79	0.23	2.79
33	Construction and extractive trades	9: Hispanic	1,002,489	1,644	35.41	1.74	32.53	1.74	26.78	1.74	4.87	1.74	0.41	1.74
33	Construction and extractive trades	10: NonHispanic	4,801,597	4,948	35.50	0.80	36.16	0.80	23.26	0.80	4.63	0.80	0.46	0.80
33	Construction and extractive trades	11: Insured	2,006,984	2,545	31.20	1.14	34.43	1.14	27.59	1.14	6.17	1.14	0.60	1.14
33	Construction and extractive trades	12: NonInsured	3,766,659	4,007	37.73	0.88	36.11	0.88	21.88	0.88	3.91	0.88	0.38	0.88
34	Precision production occs	1: Total	3,394,064	3,947	31.68	0.81	35.18	0.81	27.04	0.81	5.61	0.81	0.50	0.81
34	Precision production occs	2: Age 18-64	3,323,168	3,861	31.87	0.83	35.35	0.83	26.76	0.83	5.54	0.83	0.48	0.83
34	Precision production occs	3: 65+	70,897	86	22.78	4.72	27.06	4.72	40.00	4.72	8.90	4.72	1.26	4.72
34	Precision production occs	4: Male	2,585,316	2,853	33.15	0.94	35.78	0.94	25.55	0.94	5.15	0.94	0.38	0.94
34	Precision production occs	5: Female	808,748	1,094	27.00	1.57	33.26	1.57	31.80	1.57	7.08	1.57	0.88	1.57
34	Precision production occs	6: White	2,878,508	3,255	32.22	0.87	35.69	0.87	26.27	0.87	5.32	0.87	0.49	0.87
34	Precision production occs	7: Black	289,030	400	27.36	2.34	31.85	2.34	34.11	2.34	6.06	2.34	0.62	2.34
34	Precision production occs	8: Other	226,526	292	30.38	3.16	32.94	3.16	27.68	3.16	8.61	3.16	0.39	3.16
34	Precision production occs	9: Hispanic	491,713	881	29.52	1.84	33.32	1.84	31.20	1.84	5.82	1.84	0.14	1.84
34	Precision production occs	10: NonHispanic	2,908,988	3,071	32.01	0.90	35.45	0.90	26.43	0.90	5.56	0.90	0.56	0.90
34	Precision production occs	11: Insured	407,136	556	31.42	2.55	26.99	2.55	34.21	2.55	6.92	2.55	0.45	2.55
34	Precision production occs	12: NonInsured	2,980,291	3,386	31.76	0.87	36.34	0.87	25.96	0.87	5.44	0.87	0.50	0.87
35	Machine operators/tenderers, except precision	1: Total	4,377,772	5,488	27.40	0.69	34.72	0.69	30.03	0.69	7.01	0.69	0.83	0.69
35	Machine operators/tenderers, except precision	2: Age 18-64	4,307,323	5,388	27.58	0.69	34.85	0.69	29.89	0.69	6.93	0.69	0.74	0.69
35	Machine operators/tenderers, except precision	3: 65+	70,449	100	16.21	3.58	26.63	3.58	38.70	3.58	12.09	3.58	6.38	3.58
35	Machine operators/tenderers, except precision	4: Male	2,900,480	3,334	29.69	0.92	35.88	0.92	28.01	0.92	5.92	0.92	0.50	0.92
35	Machine operators/tenderers, except precision	5: Female	1,477,292	2,154	22.90	1.02	32.44	1.02	34.01	1.02	9.17	1.02	1.49	1.02
35	Machine operators/tenderers, except precision	6: White	3,442,154	4,146	27.62	0.79	35.81	0.79	29.56	0.79	6.28	0.79	0.73	0.79
35	Machine operators/tenderers, except precision	7: Black	590,026	864	25.73	1.65	31.87	1.65	30.87	1.65	10.68	1.65	0.86	1.65
35	Machine operators/tenderers, except precision	8: Other	345,592	478	28.03	2.65	28.79	2.65	33.31	2.65	8.07	2.65	1.80	2.65
35	Machine operators/tenderers, except precision	9: Hispanic	866,137	1,608	25.46	1.25	32.58	1.25	33.84	1.25	7.64	1.25	0.49	1.25
35	Machine operators/tenderers, except precision	10: NonHispanic	3,520,059	3,890	27.88	0.80	35.30	0.80	29.06	0.80	6.84	0.80	0.91	0.80
35	Machine operators/tenderers, except precision	11: Insured	781,745	1,139	25.91	1.81	32.88	1.81	32.67	1.81	7.45	1.81	1.08	1.81
35	Machine operators/tenderers, except precision	12: NonInsured	3,587,602	4,339	27.72	0.78	35.07	0.78	29.49	0.78	6.94	0.78	0.78	0.78
36	Fabricators, assemblers, inspectors, samplers	1: Total	2,634,919	3,190	28.45	0.92	33.67	0.92	30.01	0.92	7.26	0.92	0.61	0.92
36	Fabricators, assemblers, inspectors, samplers	2: Age 18-64	2,595,161	3,131	28.56	0.93	33.66	0.93	29.92	0.93	7.26	0.93	0.60	0.93
36	Fabricators, assemblers, inspectors, samplers	3: 65+	39,759	59	21.14	6.56	34.33	6.56	36.30	6.56	7.22	6.56	1.02	6.56
36	Fabricators, assemblers, inspectors, samplers	4: Male	1,641,422	1,818	31.27	1.20	33.03	1.20	28.84	1.20	6.27	1.20	0.59	1.20
36	Fabricators, assemblers, inspectors, samplers	5: Female	993,498	1,372	23.78	1.35	34.72	1.35	31.95	1.35	8.90	1.35	0.65	1.35
36	Fabricators, assemblers, inspectors, samplers	6: White	2,111,272	2,461	28.78	1.04	34.19	1.04	29.20	1.04	7.14	1.04	0.69	1.04
36	Fabricators, assemblers, inspectors, samplers	7: Black	334,244	483	30.05	2.66	28.55	2.66	33.18	2.66	8.11	2.66	0.11	2.66
36	Fabricators, assemblers, inspectors, samplers	8: Other	189,403	246	21.94	3.23	36.82	3.23	33.46	3.23	7.12	3.23	0.65	3.23
36	Fabricators, assemblers, inspectors, samplers	9: Hispanic	432,799	792	23.48	1.99	33.55	1.99	33.32	1.99	8.62	1.99	1.03	1.99
36	Fabricators, assemblers, inspectors, samplers	10: NonHispanic	2,204,997	2,402	29.41	1.03	33.69	1.03	29.39	1.03	6.98	1.03	0.53	1.03
36	Fabricators, assemblers, inspectors, samplers	11: Insured	445,422	599	28.63	2.57	27.70	2.57	35.90	2.57	7.46	2.57	0.31	2.57
36	Fabricators, assemblers, inspectors, samplers	12: NonInsured	2,186,621	2,587	28.43	0.99	34.88	0.99	28.79	0.99	7.23	0.99	0.67	0.99
37	Motor vehicle operators	1: Total	3,996,610	4,690	29.00	0.80	34.69	0.80	28.85	0.80	6.93	0.80	0.53	0.80
37	Motor vehicle operators	2: Age 18-64	3,779,068	4,411	29.73	0.81	35.00	0.81	28.37	0.81	6.43	0.81	0.48	0.81
37	Motor vehicle operators	3: 65+	217,543	279	16.36	2.31	29.27	2.31	37.29	2.31	15.64	2.31	1.45	2.31
37	Motor vehicle operators	4: Male	3,492,466	4,003	29.45	0.87	34.57	0.87	28.59	0.87	6.85	0.87	0.54	0.87
37	Motor vehicle operators	5: Female	504,144	687	25.87	2.02	35.50	2.02	30.63	2.02	7.50	2.02	0.50	2.02
37	Motor vehicle operators	6: White	3,210,970	3,572	28.82	0.89	35.52	0.89	28.41	0.89	6.67	0.89	0.58	0.89
37	Motor vehicle operators	7: Black	590,334	846	27.90	1.92	33.74	1.92	29.52	1.92	8.56	1.92	0.27	1.92
37	Motor vehicle operators	8: Other	195,307	272	35.33	3.56	23.94	3.56	34.05	3.56	6.20	3.56	0.48	3.56
37	Motor vehicle operators	9: Hispanic	513,539	893	31.93	1.98	32.05	1.98	29.48	1.98	6.07	1.98	0.47	1.98
37	Motor vehicle operators	10: NonHispanic	3,500,990	3,813	28.45	0.88	35.17	0.88	28.82	0.88	7.03	0.88	0.54	0.88
37	Motor vehicle operators	11: Insured	866,104	1,111	27.08	1.70	31.90	1.70	33.02	1.70	7.43	1.70	0.57	1.70
37	Motor vehicle operators	12: NonInsured	3,112,588	3,563	29.67	0.92	35.36	0.92	27.63	0.92	6.82	0.92	0.52	0.92
38	Other transportation, except motor vehicles	1: Total	189,086	188	31.83	3.33	37.75	3.33	25.83	3.33	3.66	3.33	0.93	3.33
38	Other transportation, except motor vehicles	2: Age 18-64	187,947	186	32.03	3.35	37.37	3.35	25.98	3.35	3.68	3.35	0.94	3.35
38	Other transportation, except motor vehicles	3: 65+	1,139	2	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00
38	Other transportation, except motor vehicles	4: Male	185,665	181	31.05	3.36	38.10	3.36	26.18	3.36	3.72	3.36	0.95	3.36
38	Other transportation, except motor vehicles	5: Female	3,421	7	74.29	17.67	18.93	17.67	6.78	17.67	0.00	17.67	0.00	17.67
38	Other transportation, except motor vehicles	6: White	159,092	154	31.15	3.79	39.20	3.79	25.30	3.79	4.35	3.79	0.00	3.79
38	Other transportation, except motor vehicles	7: Black	25,474	30	37.85	5.84	28.70	5.84	26.53	5.84	0.00	5.84	6.92	5.84
38	Other transportation, except motor vehicles	8: Other	4,520	4	21.80	22.71	37.68	22.71	40.52	22.71	0.00	22.71	0.00	22.71
38	Other transportation, except motor vehicles	9: Hispanic	5,131	6	10.42	10.67	48.05	10.67	41.54	10.67	0.00	10.67	0.00	10.67
38	Other transportation, except motor vehicles	10: NonHispanic	183,955	182	32.43	3.38	37.46	3.38	25.39	3.38	3.76	3.38	0.96	3.38
38	Other transportation, except motor vehicles	11: Insured	9,121	8	66.14	20.95	20.27	20.95	13.59	20.95	0.00	20.95	0.00	20.95
38	Other transportation, except motor vehicles	12: NonInsured	179,964	180	30.09	3.17	38.64	3.17	26.45	3.17	3.84	3.17	0.98	3.17
39	Material moving equipment operators	1: Total	1,171,572	1,298	30.43	1.42	35.95	1.42	26.31	1.42	6.89	1.42	0.42	1.42
39	Material moving equipment operators	2: Age 18-64	1,153,845	1,275	30.54	1.43	36.25	1.43	26.08	1.43	6.71	1.43	0.42	1.43
39	Material moving equipment operators	3: 65+	17,727	23	23.77	9.89	16.13	9.89	41.32	9.89	18.78	9.89	0.00	9.89
39	Material moving equipment operators	4: Male	1,095,512	1,193	31.04	1.49	35.97	1.49	25.41	1.49	7.13	1.49	0.45	1.49
39	Material moving equipment operators	5: Female	76,060	105	21.68	4.37	35.63	4.37	39.28	4.37	3.41	4.37	0.00	4.37
39	Material moving equipment operators	6: White	950,514	1,025	30.78	1.58	36.17	1.58	26.27	1.58	6.48	1.58	0.31	1.58
39	Material moving equipment operators	7: Black	164,771	198	24.00	3.22	36.35	3.22	29.64	3.22	8.80	3.22	1.20	3.22
39	Material moving equipment operators	8: Other	56,287	75	43.46	6.62	30.93	6.62	17.34	6.62	8.27	6.62	0.00	6.62
39	Material moving equipment operators	9: Hispanic	174,838	285	38.69	3.68	31.11	3.68	24.79	3.68	5.41	3.68	0.00	3.68
39	Material moving equipment operators	10: NonHispanic	1,002,905	1,018	29.08	1.59	36.57	1.59	26.71	1.59	7.16	1.59	0.49	1.59
39	Material moving equipment operators	11: Insured	177,839	222	32.44	4.18	31.47	4.18	26.44	4.18	8.75	4.18	0.90	4.18
39	Material moving equipment operators	12: NonInsured	987,563	1,071	29.98	1.64	36.98	1.64	26.16	1.64	6.55	1.64	0.33	1.64
40	Construction laborers	1: Total	1,051,238	1,304	35.13	1.69	31.65	1.69	26.26	1.69	6.60	1.69	0.36	1.69
40	Construction laborers	2: Age 18-64	1,025,140	1,273	35.75	1.71	31.46	1.71	26.17	1.71	6.26	1.71	0.37	1.71
40	Construction laborers	3: 65+	26,098	31	11.05	5.45	39.19	5.45	30.03	5.45	19.73	5.45	0.00	5.45
40	Construction laborers	4: Male	1,026,247	1,266	34.98	1.68	31.82	1.68	26.41	1.68	6.42	1.68	0.37	1.68
40	Construction laborers	5: Female	24,992	38	41.21	10.11	24.67	10.11	20.26	10.11	13.86	10.11	0.00	10.11
40	Construction laborers	6: White	879,453	1,067	35.06	1.81	32.08	1.81	26.53	1.81	6.00	1.81	0.33	1.81
40	Construction laborers	7: Black	98,498	122	40.39	5.15	20.53	5.15	26.62	5.15	11.60	5.15	0.86	5.15
40	Construction laborers	8: Other	73,287	115	28.94	5.38	41.39	5.38	22.59	5.38	7.08	5.38	0.00	5.38
40	Construction laborers	9: Hispanic	324,141	535	31.35	2.56	36.08	2.56	25.37	2.56	7.20	2.56	0.00	2.56
40	Construction laborers	10: NonHispanic	728,511	772	36.83	2.18	29.66	2.18	26.68	2.18	6.31	2.18	0.52	2.18
40	Construction laborers	11: Insured	502,771	690	29.94	2.17	34.30	2.17	28.64	2.17	6.76	2.17	0.35	2.17
40	Construction laborers	12: NonInsured	547,053	611	39.89	2.36	29.23	2.36	24.05	2.36	6.46	2.36	0.37	2.36
41	Freight, stock, material handlers	1: Total	3,833,525	4,422	33.20	0.87	32.19	0.87	27.87	0.87	6.12	0.87	0.62	0.87
41	Freight, stock, material handlers	2: Age 18-64	3,728,723	4,278	33.66	0.88	32.24	0.88	27.61	0.88	5.89	0.88	0.59	0.88
41	Freight, stock, material handlers	3: 65+	104,801	144	16.72	3.79	30.32	3.79	37.25	3.79	14.24	3.79	1.46	3.79
41	Freight, stock, material handlers	4: Male	2,925,560	3,173	35.49	1.02	31.57	1.02	26.26	1.02	6.05	1.02	0.63	1.02
41	Freight, stock, material handlers	5: Female	907,965	1,249	25.84	1.48	34.18	1.48	33.07	1.48	6.35	1.48	0.56	1.48
41	Freight, stock, material handlers	6: White	2,906,709	3,246	33.18	1.04	32.75	1.04	27.67	1.04	5.84	1.04	0.56	1.04
41	Freight, stock, material handlers	7: Black	648,293	819	34.75	2.06	30.35	2.06	26.62	2.06	7.58	2.06	0.70	2.06
41	Freight, stock, material handlers	8: Other	278,523	357	29.85	3.19	30.57	3.19	32.88	3.19	5.69	3.19	1.01	3.19
41	Freight, stock, material handlers	9: Hispanic	738,737	1,241	30.02	1.60	30.94	1.60	31.62	1.60	6.88	1.60	0.54	1.60
41	Freight, stock, material handlers	10: NonHispanic	3,116,864	3,202	34.18	1.01	32.29	1.01	26.97	1.01	5.90	1.01	0.66	1.01
41	Freight, stock, material handlers	11: Insured	975,153	1,231	29.79	1.53	30.97	1.53	31.75	1.53	6.88	1.53	0.60	1.53
41	Freight, stock, material handlers	12: NonInsured	2,836,295	3,170	34.13	1.10	32.83	1.10	26.56	1.10	5.90	1.10	0.59	1.10