Table 5. Occupational Groups, Sample Size and Population Estimates, Bed Days by 41 Occupations
	Occupation 41 Classes	Group	Population Estimates *	Sample Size	Estimated Prevalence of 0 bed days in the prior 12 months	Average # days among participants having at least 1 bed day in prior 12 months	Standard Error of average # bed days	X+SE Bed Days
	All Workers	1: Total	78,936,705	152,261	62.76	6.02	0.22	6.02±0.22
0	All Occupations	1: Total	78,936,705	152,261	62.76	6.02	0.22	6.02±0.22
0	All Occupations	2: Age 18-64	75,953,932	146,710	62.31	6.03	0.23	6.03±0.23
0	All Occupations	3: 65+	2,982,774	5,551	77.02	5.81	0.67	5.81±0.67
0	All Occupations	4: Male	45,987,830	75,434	67.92	5.85	0.39	5.85±0.39
0	All Occupations	5: Female	32,948,875	76,827	56.74	6.18	0.27	6.18±0.27
0	All Occupations	6: White	64,867,022	121,956	62.04	5.66	0.22	5.66±0.22
0	All Occupations	7: Black	8,909,050	20,373	65.38	7.68	0.81	7.68±0.81
0	All Occupations	8: Other	5,160,633	9,932	68.03	8.59	1.63	8.59±1.63
0	All Occupations	9: Hispanic	10,024,207	25,616	72.02	7.23	0.67	7.23±0.67
0	All Occupations	10: NonHispanic	69,123,828	126,947	61.63	5.94	0.24	5.94±0.24
0	All Occupations	11: Insured	12,963,863	26,023	68.00	8.01	0.88	8.01±0.88
0	All Occupations	12: NonInsured	65,761,514	125,936	61.80	5.71	0.23	5.71±0.23
1	Officials and administrators public admin	1: Total	431,159	955	55.97	4.23	0.81	4.23±0.81
1	Officials and administrators public admin	2: Age 18-64	407,031	910	55.03	4.20	0.82	4.20±0.82
1	Officials and administrators public admin	3: 65+	24,128	45	78.69	5.84	4.01	5.84±4.01
1	Officials and administrators public admin	4: Male	229,710	435	57.06	2.92	0.53	2.92±0.53
1	Officials and administrators public admin	5: Female	201,449	520	54.78	5.45	1.49	5.45±1.49
1	Officials and administrators public admin	6: White	355,015	743	56.07	3.53	0.54	3.53±0.54
1	Officials and administrators public admin	7: Black	66,378	179	59.74	8.41	4.65	8.41±4.65
1	Officials and administrators public admin	8: Other	9,767	33	37.53	3.64	1.01	3.64±1.01
1	Officials and administrators public admin	9: Hispanic	23,517	69	59.48	9.15	5.15	9.15±5.15
1	Officials and administrators public admin	10: NonHispanic	407,642	886	55.78	3.93	0.80	3.93±0.80
1	Officials and administrators public admin	11: Insured	10,794	23	56.98	2.54	0.84	2.54±0.84
1	Officials and administrators public admin	12: NonInsured	420,365	932	55.95	4.27	0.82	4.27±0.82
2	Managers administrators, except public administration	1: Total	7,743,167	14,472	62.55	4.33	0.42	4.33±0.42
2	Managers administrators, except public administration	2: Age 18-64	7,475,563	13,982	62.16	4.30	0.42	4.30±0.42
2	Managers administrators, except public administration	3: 65+	267,604	490	75.75	5.89	2.30	5.89±2.30
2	Managers administrators, except public administration	4: Male	4,889,014	7,827	66.83	3.36	0.49	3.36±0.49
2	Managers administrators, except public administration	5: Female	2,854,153	6,645	56.36	5.40	0.70	5.40±0.70
2	Managers administrators, except public administration	6: White	6,874,150	12,479	62.55	4.17	0.44	4.17±0.44
2	Managers administrators, except public administration	7: Black	514,291	1,284	62.24	6.16	2.04	6.16±2.04
2	Managers administrators, except public administration	8: Other	354,727	709	62.89	4.71	1.20	4.71±1.20
2	Managers administrators, except public administration	9: Hispanic	527,788	1,434	65.27	3.91	0.87	3.91±0.87
2	Managers administrators, except public administration	10: NonHispanic	7,227,359	13,059	62.35	4.36	0.44	4.36±0.44
2	Managers administrators, except public administration	11: Insured	696,156	1,356	68.66	8.59	3.79	8.59±3.79
2	Managers administrators, except public administration	12: NonInsured	7,035,030	13,095	62.00	4.04	0.37	4.04±0.37
3	Management related occs	1: Total	2,935,057	6,192	57.80	5.51	0.93	5.51±0.93
3	Management related occs	2: Age 18-64	2,824,319	5,999	57.29	5.54	0.95	5.54±0.95
3	Management related occs	3: 65+	110,739	193	74.46	3.83	1.06	3.83±1.06
3	Management related occs	4: Male	1,388,777	2,334	64.73	3.47	0.57	3.47±0.57
3	Management related occs	5: Female	1,546,281	3,858	52.73	6.63	1.41	6.63±1.41
3	Management related occs	6: White	2,504,980	5,049	57.91	5.34	1.04	5.34±1.04
3	Management related occs	7: Black	278,513	790	56.39	8.63	3.05	8.63±3.05
3	Management related occs	8: Other	151,565	353	58.57	2.63	0.54	2.63±0.54
3	Management related occs	9: Hispanic	166,435	594	53.22	3.21	0.42	3.21±0.42
3	Management related occs	10: NonHispanic	2,772,525	5,604	58.10	5.68	0.99	5.68±0.99
3	Management related occs	11: Insured	164,314	368	64.78	14.88	6.48	14.88±6.48
3	Management related occs	12: NonInsured	2,766,841	5,818	57.42	5.15	0.93	5.15±0.93
4	Engineers	1: Total	1,203,744	2,129	61.01	3.59	0.94	3.59±0.94
4	Engineers	2: Age 18-64	1,177,887	2,090	60.67	3.45	0.93	3.45±0.93
4	Engineers	3: 65+	25,857	39	81.99	21.70	18.37	21.70±18.37
4	Engineers	4: Male	1,094,278	1,866	61.80	3.68	1.08	3.68±1.08
4	Engineers	5: Female	109,466	263	54.12	2.91	0.60	2.91±0.60
4	Engineers	6: White	1,025,424	1,808	60.54	3.64	1.08	3.64±1.08
4	Engineers	7: Black	59,195	126	65.36	2.48	0.59	2.48±0.59
4	Engineers	8: Other	119,125	195	63.16	3.67	1.14	3.67±1.14
4	Engineers	9: Hispanic	67,454	149	66.57	3.27	1.49	3.27±1.49
4	Engineers	10: NonHispanic	1,139,317	1,982	60.78	3.60	0.98	3.60±0.98
4	Engineers	11: Insured	25,818	47	65.03	1.24	0.31	1.24±0.31
4	Engineers	12: NonInsured	1,174,900	2,080	60.87	3.63	0.95	3.63±0.95
5	Architects and surveyors	1: Total	135,240	261	59.48	2.99	1.03	2.99±1.03
5	Architects and surveyors	2: Age 18-64	128,534	250	58.99	3.00	1.06	3.00±1.06
5	Architects and surveyors	3: 65+	6,706	11	70.87	2.62	1.46	2.62±1.46
5	Architects and surveyors	4: Male	114,364	212	60.77	3.22	1.19	3.22±1.19
5	Architects and surveyors	5: Female	20,876	49	53.28	1.49	0.26	1.49±0.26
5	Architects and surveyors	6: White	121,283	228	60.94	3.17	1.18	3.17±1.18
5	Architects and surveyors	7: Black	7,909	15	68.64	1.83	0.38	1.83±0.38
5	Architects and surveyors	8: Other	6,048	18	36.00	1.83	0.57	1.83±0.57
5	Architects and surveyors	9: Hispanic	9,658	27	69.68	19.83	18.37	19.83±18.37
5	Architects and surveyors	10: NonHispanic	125,582	234	58.82	2.06	0.34	2.06±0.34
5	Architects and surveyors	11: Insured	6,135	17	57.45	3.89	2.18	3.89±2.18
5	Architects and surveyors	12: NonInsured	129,104	244	59.58	2.94	1.07	2.94±1.07
6	Natural mathematical/computer scientists	1: Total	1,510,117	3,087	57.62	2.83	0.34	2.83±0.34
6	Natural mathematical/computer scientists	2: Age 18-64	1,496,690	3,054	57.62	2.84	0.34	2.84±0.34
6	Natural mathematical/computer scientists	3: 65+	13,427	33	57.58	2.29	0.96	2.29±0.96
6	Natural mathematical/computer scientists	4: Male	1,127,507	2,018	61.53	2.25	0.16	2.25±0.16
6	Natural mathematical/computer scientists	5: Female	382,609	1,069	48.53	4.01	1.00	4.01±1.00
6	Natural mathematical/computer scientists	6: White	1,175,020	2,394	56.73	2.84	0.42	2.84±0.42
6	Natural mathematical/computer scientists	7: Black	94,545	263	56.53	3.86	0.59	3.86±0.59
6	Natural mathematical/computer scientists	8: Other	240,551	430	62.89	2.24	0.28	2.24±0.28
6	Natural mathematical/computer scientists	9: Hispanic	69,668	196	59.61	2.29	0.49	2.29±0.49
6	Natural mathematical/computer scientists	10: NonHispanic	1,445,358	2,897	57.55	2.87	0.36	2.87±0.36
6	Natural mathematical/computer scientists	11: Insured	64,205	144	62.99	4.34	2.00	4.34±2.00
6	Natural mathematical/computer scientists	12: NonInsured	1,441,002	2,937	57.37	2.77	0.35	2.77±0.35
7	Health diagnosing occs	1: Total	772,150	1,151	73.29	7.68	4.36	7.68±4.36
7	Health diagnosing occs	2: Age 18-64	723,606	1,082	72.84	7.70	4.58	7.70±4.58
7	Health diagnosing occs	3: 65+	48,543	69	80.77	7.28	4.44	7.28±4.44
7	Health diagnosing occs	4: Male	585,042	773	77.08	9.84	7.22	9.84±7.22
7	Health diagnosing occs	5: Female	187,107	378	63.53	4.43	0.87	4.43±0.87
7	Health diagnosing occs	6: White	648,150	951	73.49	3.18	0.49	3.18±0.49
7	Health diagnosing occs	7: Black	30,520	61	75.93	2.77	1.70	2.77±1.70
7	Health diagnosing occs	8: Other	93,480	139	71.12	41.57	36.19	41.57±36.19
7	Health diagnosing occs	9: Hispanic	39,794	86	76.12	2.76	1.51	2.76±1.51
7	Health diagnosing occs	10: NonHispanic	733,869	1,066	73.18	8.00	4.64	8.00±4.64
7	Health diagnosing occs	11: Insured	25,738	50	72.61	3.74	1.22	3.74±1.22
7	Health diagnosing occs	12: NonInsured	744,898	1,100	73.27	7.81	4.50	7.81±4.50
8	Health assessment/treating occs	1: Total	1,798,930	3,989	54.63	3.83	0.45	3.83±0.45
8	Health assessment/treating occs	2: Age 18-64	1,752,547	3,895	54.23	3.82	0.46	3.82±0.46
8	Health assessment/treating occs	3: 65+	46,383	94	75.29	5.19	2.58	5.19±2.58
8	Health assessment/treating occs	4: Male	262,483	485	60.99	2.00	0.28	2.00±0.28
8	Health assessment/treating occs	5: Female	1,536,447	3,504	53.67	4.06	0.51	4.06±0.51
8	Health assessment/treating occs	6: White	1,501,411	3,279	53.59	3.55	0.31	3.55±0.31
8	Health assessment/treating occs	7: Black	192,700	497	61.68	3.13	0.60	3.13±0.60
8	Health assessment/treating occs	8: Other	104,819	213	58.62	9.95	7.21	9.95±7.21
8	Health assessment/treating occs	9: Hispanic	67,771	231	58.01	2.61	0.42	2.61±0.42
8	Health assessment/treating occs	10: NonHispanic	1,732,940	3,763	54.47	3.87	0.47	3.87±0.47
8	Health assessment/treating occs	11: Insured	70,147	200	54.91	4.51	1.11	4.51±1.11
8	Health assessment/treating occs	12: NonInsured	1,727,003	3,784	54.64	3.81	0.47	3.81±0.47
9	Teachers, librarians, counselors	1: Total	3,898,795	8,320	57.06	4.55	0.86	4.55±0.86
9	Teachers, librarians, counselors	2: Age 18-64	3,771,370	8,070	56.59	4.42	0.84	4.42±0.84
9	Teachers, librarians, counselors	3: 65+	127,425	250	75.63	15.04	7.54	15.04±7.54
9	Teachers, librarians, counselors	4: Male	1,387,112	2,398	64.48	3.53	1.07	3.53±1.07
9	Teachers, librarians, counselors	5: Female	2,511,683	5,922	53.65	4.92	1.11	4.92±1.11
9	Teachers, librarians, counselors	6: White	3,319,700	6,938	55.92	4.58	0.93	4.58±0.93
9	Teachers, librarians, counselors	7: Black	400,396	1,002	64.41	4.83	1.17	4.83±1.17
9	Teachers, librarians, counselors	8: Other	178,699	380	65.13	2.75	0.38	2.75±0.38
9	Teachers, librarians, counselors	9: Hispanic	216,310	697	60.57	2.68	0.45	2.68±0.45
9	Teachers, librarians, counselors	10: NonHispanic	3,686,925	7,629	56.89	4.65	0.91	4.65±0.91
9	Teachers, librarians, counselors	11: Insured	208,356	507	57.87	11.35	6.80	11.35±6.80
9	Teachers, librarians, counselors	12: NonInsured	3,685,999	7,807	57.00	4.20	0.81	4.20±0.81
10	Writers, artists, entertainers, athletes	1: Total	1,330,797	2,893	58.22	4.66	1.11	4.66±1.11
10	Writers, artists, entertainers, athletes	2: Age 18-64	1,260,219	2,762	57.43	4.68	1.13	4.68±1.13
10	Writers, artists, entertainers, athletes	3: 65+	70,578	131	77.22	3.75	1.02	3.75±1.02
10	Writers, artists, entertainers, athletes	4: Male	737,801	1,418	62.68	4.60	2.21	4.60±2.21
10	Writers, artists, entertainers, athletes	5: Female	592,996	1,475	53.48	4.72	0.65	4.72±0.65
10	Writers, artists, entertainers, athletes	6: White	1,154,251	2,509	56.95	4.38	1.18	4.38±1.18
10	Writers, artists, entertainers, athletes	7: Black	108,821	238	70.09	10.22	5.40	10.22±5.40
10	Writers, artists, entertainers, athletes	8: Other	67,724	146	65.18	3.41	1.60	3.41±1.60
10	Writers, artists, entertainers, athletes	9: Hispanic	108,085	303	67.54	2.78	0.58	2.78±0.58
10	Writers, artists, entertainers, athletes	10: NonHispanic	1,230,187	2,600	57.63	4.79	1.19	4.79±1.19
10	Writers, artists, entertainers, athletes	11: Insured	215,376	489	62.70	6.18	2.20	6.18±2.20
10	Writers, artists, entertainers, athletes	12: NonInsured	1,107,946	2,394	57.30	4.41	1.24	4.41±1.24
11	Other professional specialty occs	1: Total	1,588,032	3,630	54.45	6.99	1.59	6.99±1.59
11	Other professional specialty occs	2: Age 18-64	1,489,533	3,432	53.55	7.05	1.64	7.05±1.64
11	Other professional specialty occs	3: 65+	98,499	198	73.16	4.85	1.10	4.85±1.10
11	Other professional specialty occs	4: Male	885,154	1,647	59.64	3.49	0.33	3.49±0.33
11	Other professional specialty occs	5: Female	702,877	1,983	49.08	9.77	2.85	9.77±2.85
11	Other professional specialty occs	6: White	1,319,456	2,918	54.06	6.44	1.80	6.44±1.80
11	Other professional specialty occs	7: Black	195,448	562	56.46	11.47	4.30	11.47±4.30
11	Other professional specialty occs	8: Other	73,127	150	56.44	4.77	1.07	4.77±1.07
11	Other professional specialty occs	9: Hispanic	87,266	311	56.88	14.97	8.51	14.97±8.51
11	Other professional specialty occs	10: NonHispanic	1,503,061	3,322	54.34	6.56	1.61	6.56±1.61
11	Other professional specialty occs	11: Insured	96,265	212	61.41	14.55	10.38	14.55±10.38
11	Other professional specialty occs	12: NonInsured	1,489,471	3,415	54.03	6.68	1.60	6.68±1.60
12	Health technologists/technicians	1: Total	1,051,115	2,273	57.16	5.32	1.28	5.32±1.28
12	Health technologists/technicians	2: Age 18-64	1,031,444	2,234	56.80	5.26	1.29	5.26±1.29
12	Health technologists/technicians	3: 65+	19,671	39	85.04	12.04	10.86	12.04±10.86
12	Health technologists/technicians	4: Male	234,351	396	63.34	2.69	0.37	2.69±0.37
12	Health technologists/technicians	5: Female	816,764	1,877	55.60	5.93	1.58	5.93±1.58
12	Health technologists/technicians	6: White	838,236	1,742	56.46	5.12	1.50	5.12±1.50
12	Health technologists/technicians	7: Black	130,677	375	57.82	6.25	2.69	6.25±2.69
12	Health technologists/technicians	8: Other	82,202	156	64.12	6.24	1.97	6.24±1.97
12	Health technologists/technicians	9: Hispanic	87,678	288	60.67	3.13	0.76	3.13±0.76
12	Health technologists/technicians	10: NonHispanic	966,753	1,989	56.94	5.47	1.37	5.47±1.37
12	Health technologists/technicians	11: Insured	77,372	194	61.31	2.61	0.43	2.61±0.43
12	Health technologists/technicians	12: NonInsured	970,426	2,075	56.78	5.51	1.37	5.51±1.37
13	Technologists, technicians except health	1: Total	1,565,556	3,121	59.63	4.81	1.28	4.81±1.28
13	Technologists, technicians except health	2: Age 18-64	1,542,304	3,081	59.40	4.83	1.29	4.83±1.29
13	Technologists, technicians except health	3: 65+	23,252	40	79.92	1.04	0.61	1.04±0.61
13	Technologists, technicians except health	4: Male	1,121,466	2,001	62.65	3.03	0.71	3.03±0.71
13	Technologists, technicians except health	5: Female	444,090	1,120	53.15	8.10	3.39	8.10±3.39
13	Technologists, technicians except health	6: White	1,283,968	2,551	58.49	3.35	0.55	3.35±0.55
13	Technologists, technicians except health	7: Black	124,701	296	63.39	24.48	15.88	24.48±15.88
13	Technologists, technicians except health	8: Other	156,886	274	67.15	2.02	0.38	2.02±0.38
13	Technologists, technicians except health	9: Hispanic	99,483	311	59.51	1.89	0.29	1.89±0.29
13	Technologists, technicians except health	10: NonHispanic	1,468,142	2,815	59.64	5.01	1.37	5.01±1.37
13	Technologists, technicians except health	11: Insured	100,832	207	64.78	3.46	0.83	3.46±0.83
13	Technologists, technicians except health	12: NonInsured	1,462,656	2,909	59.30	4.89	1.35	4.89±1.35
14	Supervisors and proprietors	1: Total	2,528,952	4,357	66.33	5.01	1.09	5.01±1.09
14	Supervisors and proprietors	2: Age 18-64	2,442,674	4,200	66.06	5.00	1.12	5.00±1.12
14	Supervisors and proprietors	3: 65+	86,279	157	74.97	5.52	2.53	5.52±2.53
14	Supervisors and proprietors	4: Male	1,623,683	2,433	70.99	3.56	1.06	3.56±1.06
14	Supervisors and proprietors	5: Female	905,269	1,924	59.34	6.62	1.98	6.62±1.98
14	Supervisors and proprietors	6: White	2,211,469	3,764	65.72	5.25	1.22	5.25±1.22
14	Supervisors and proprietors	7: Black	161,214	344	67.81	3.30	0.61	3.30±0.61
14	Supervisors and proprietors	8: Other	156,270	249	74.33	2.58	0.47	2.58±0.47
14	Supervisors and proprietors	9: Hispanic	195,455	514	72.95	4.97	1.73	4.97±1.73
14	Supervisors and proprietors	10: NonHispanic	2,338,118	3,850	65.85	5.01	1.15	5.01±1.15
14	Supervisors and proprietors	11: Insured	300,628	571	65.88	3.49	0.56	3.49±0.56
14	Supervisors and proprietors	12: NonInsured	2,223,704	3,779	66.36	5.19	1.22	5.19±1.22
15	Sales representatives, commodities and finance	1: Total	2,665,609	4,819	63.65	4.47	0.84	4.47±0.84
15	Sales representatives, commodities and finance	2: Age 18-64	2,519,779	4,578	62.93	4.49	0.86	4.49±0.86
15	Sales representatives, commodities and finance	3: 65+	145,829	241	79.22	3.95	1.31	3.95±1.31
15	Sales representatives, commodities and finance	4: Male	1,789,186	2,781	68.10	2.96	0.62	2.96±0.62
15	Sales representatives, commodities and finance	5: Female	876,422	2,038	56.16	6.36	1.73	6.36±1.73
15	Sales representatives, commodities and finance	6: White	2,419,197	4,312	63.45	4.68	0.92	4.68±0.92
15	Sales representatives, commodities and finance	7: Black	144,957	307	67.38	2.30	0.38	2.30±0.38
15	Sales representatives, commodities and finance	8: Other	101,455	200	63.28	2.37	0.45	2.37±0.45
15	Sales representatives, commodities and finance	9: Hispanic	160,557	443	62.50	3.62	0.74	3.62±0.74
15	Sales representatives, commodities and finance	10: NonHispanic	2,511,596	4,382	63.75	4.52	0.89	4.52±0.89
15	Sales representatives, commodities and finance	11: Insured	232,218	477	63.48	2.59	0.31	2.59±0.31
15	Sales representatives, commodities and finance	12: NonInsured	2,426,847	4,336	63.63	4.65	0.91	4.65±0.91
16	Other sales	1: Total	3,753,928	7,244	61.53	8.27	1.56	8.27±1.56
16	Other sales	2: Age 18-64	3,538,536	6,812	61.00	8.42	1.61	8.42±1.61
16	Other sales	3: 65+	215,392	432	71.91	4.29	0.90	4.29±0.90
16	Other sales	4: Male	1,571,394	2,464	67.30	8.03	3.48	8.03±3.48
16	Other sales	5: Female	2,182,535	4,780	57.95	8.39	1.56	8.39±1.56
16	Other sales	6: White	2,986,109	5,689	60.35	7.59	1.34	7.59±1.34
16	Other sales	7: Black	472,003	1,014	65.68	4.22	1.35	4.22±1.35
16	Other sales	8: Other	295,816	541	68.15	24.96	17.72	24.96±17.72
16	Other sales	9: Hispanic	494,282	1,344	69.14	6.61	2.71	6.61±2.71
16	Other sales	10: NonHispanic	3,275,537	5,922	60.59	8.43	1.70	8.43±1.70
16	Other sales	11: Insured	882,166	1,812	63.19	3.47	0.41	3.47±0.41
16	Other sales	12: NonInsured	2,855,872	5,410	60.97	9.62	1.99	9.62±1.99
17	Computer equipment operators	1: Total	224,616	467	60.00	2.31	0.27	2.31±0.27
17	Computer equipment operators	2: Age 18-64	223,818	466	59.92	2.31	0.27	2.31±0.27
17	Computer equipment operators	3: 65+	798	1	100.00	.	.	.±.
17	Computer equipment operators	4: Male	114,372	185	66.98	1.65	0.27	1.65±0.27
17	Computer equipment operators	5: Female	110,243	282	54.15	2.73	0.41	2.73±0.41
17	Computer equipment operators	6: White	160,259	348	55.49	2.41	0.31	2.41±0.31
17	Computer equipment operators	7: Black	38,530	81	72.30	1.86	0.38	1.86±0.38
17	Computer equipment operators	8: Other	25,827	38	80.15	1.49	0.74	1.49±0.74
17	Computer equipment operators	9: Hispanic	15,335	48	63.34	1.85	0.59	1.85±0.59
17	Computer equipment operators	10: NonHispanic	209,280	419	59.77	2.34	0.29	2.34±0.29
17	Computer equipment operators	11: Insured	14,952	33	68.29	1.65	0.53	1.65±0.53
17	Computer equipment operators	12: NonInsured	209,663	434	59.49	2.36	0.29	2.36±0.29
18	Secretaries, stenographers and typists	1: Total	1,492,469	3,353	56.58	4.28	0.51	4.28±0.51
18	Secretaries, stenographers and typists	2: Age 18-64	1,416,380	3,192	55.88	4.31	0.52	4.31±0.52
18	Secretaries, stenographers and typists	3: 65+	76,089	161	73.62	3.46	0.69	3.46±0.69
18	Secretaries, stenographers and typists	4: Male	37,801	73	65.30	2.27	0.56	2.27±0.56
18	Secretaries, stenographers and typists	5: Female	1,454,667	3,280	56.38	4.32	0.52	4.32±0.52
18	Secretaries, stenographers and typists	6: White	1,308,799	2,810	56.58	4.22	0.57	4.22±0.57
18	Secretaries, stenographers and typists	7: Black	129,101	398	55.13	4.92	0.96	4.92±0.96
18	Secretaries, stenographers and typists	8: Other	54,570	145	60.38	4.14	1.60	4.14±1.60
18	Secretaries, stenographers and typists	9: Hispanic	113,109	441	55.23	9.84	5.64	9.84±5.64
18	Secretaries, stenographers and typists	10: NonHispanic	1,381,340	2,923	56.61	3.89	0.34	3.89±0.34
18	Secretaries, stenographers and typists	11: Insured	112,321	282	57.22	4.27	0.92	4.27±0.92
18	Secretaries, stenographers and typists	12: NonInsured	1,378,167	3,060	56.61	4.24	0.54	4.24±0.54
19	Financial records processing occs	1: Total	1,192,511	2,641	57.37	6.60	1.57	6.60±1.57
19	Financial records processing occs	2: Age 18-64	1,124,400	2,487	56.85	6.34	1.58	6.34±1.58
19	Financial records processing occs	3: 65+	68,111	154	67.54	14.54	11.66	14.54±11.66
19	Financial records processing occs	4: Male	134,308	248	64.09	14.84	12.10	14.84±12.10
19	Financial records processing occs	5: Female	1,058,203	2,393	56.62	5.82	1.31	5.82±1.31
19	Financial records processing occs	6: White	993,798	2,188	56.67	7.05	1.85	7.05±1.85
19	Financial records processing occs	7: Black	113,728	301	56.39	5.05	1.80	5.05±1.80
19	Financial records processing occs	8: Other	84,985	152	69.00	1.89	0.53	1.89±0.53
19	Financial records processing occs	9: Hispanic	95,020	328	59.60	3.13	0.47	3.13±0.47
19	Financial records processing occs	10: NonHispanic	1,097,491	2,315	57.16	6.90	1.71	6.90±1.71
19	Financial records processing occs	11: Insured	97,687	238	59.20	20.37	15.41	20.37±15.41
19	Financial records processing occs	12: NonInsured	1,094,824	2,401	57.24	5.61	1.28	5.61±1.28
20	Mail and message distributing	1: Total	555,460	1,073	63.34	8.10	2.22	8.10±2.22
20	Mail and message distributing	2: Age 18-64	530,917	1,030	62.81	8.23	2.26	8.23±2.26
20	Mail and message distributing	3: 65+	24,543	43	77.50	1.79	0.61	1.79±0.61
20	Mail and message distributing	4: Male	342,606	573	67.63	9.72	3.70	9.72±3.70
20	Mail and message distributing	5: Female	212,854	500	57.47	5.83	1.18	5.83±1.18
20	Mail and message distributing	6: White	388,984	741	61.64	8.04	2.67	8.04±2.67
20	Mail and message distributing	7: Black	124,809	267	65.02	5.02	1.51	5.02±1.51
20	Mail and message distributing	8: Other	41,667	65	77.17	23.94	21.32	23.94±21.32
20	Mail and message distributing	9: Hispanic	48,001	133	63.06	30.64	19.40	30.64±19.40
20	Mail and message distributing	10: NonHispanic	507,458	940	63.36	5.90	1.54	5.90±1.54
20	Mail and message distributing	11: Insured	56,202	101	69.51	3.30	1.17	3.30±1.17
20	Mail and message distributing	12: NonInsured	499,257	972	62.71	8.50	2.40	8.50±2.40
21	Other administrative support	1: Total	6,282,999	14,207	56.00	5.59	0.50	5.59±0.50
21	Other administrative support	2: Age 18-64	6,055,046	13,728	55.52	5.59	0.51	5.59±0.51
21	Other administrative support	3: 65+	227,952	479	72.69	5.34	1.67	5.34±1.67
21	Other administrative support	4: Male	1,856,850	3,370	62.71	4.07	0.82	4.07±0.82
21	Other administrative support	5: Female	4,426,148	10,837	53.59	6.04	0.60	6.04±0.60
21	Other administrative support	6: White	4,997,680	10,840	55.36	5.36	0.58	5.36±0.58
21	Other administrative support	7: Black	924,946	2,506	57.64	6.46	0.81	6.46±0.81
21	Other administrative support	8: Other	360,373	861	61.39	7.00	2.55	7.00±2.55
21	Other administrative support	9: Hispanic	751,318	2,341	64.11	4.95	0.79	4.95±0.79
21	Other administrative support	10: NonHispanic	5,541,088	11,891	55.01	5.65	0.54	5.65±0.54
21	Other administrative support	11: Insured	655,211	1,558	59.03	7.05	2.22	7.05±2.22
21	Other administrative support	12: NonInsured	5,618,381	12,624	55.70	5.45	0.50	5.45±0.50
22	Private household occs	1: Total	471,975	1,050	69.28	4.34	0.54	4.34±0.54
22	Private household occs	2: Age 18-64	426,215	944	68.18	4.35	0.56	4.35±0.56
22	Private household occs	3: 65+	45,760	106	81.61	4.12	1.65	4.12±1.65
22	Private household occs	4: Male	24,915	42	70.28	2.18	0.94	2.18±0.94
22	Private household occs	5: Female	447,061	1,008	69.23	4.40	0.55	4.40±0.55
22	Private household occs	6: White	351,029	787	67.18	4.51	0.62	4.51±0.62
22	Private household occs	7: Black	63,819	146	75.16	5.17	1.74	5.17±1.74
22	Private household occs	8: Other	57,127	117	77.42	2.35	0.63	2.35±0.63
22	Private household occs	9: Hispanic	179,408	493	78.80	2.96	0.38	2.96±0.38
22	Private household occs	10: NonHispanic	296,403	561	64.80	4.76	0.71	4.76±0.71
22	Private household occs	11: Insured	222,836	556	71.93	3.98	0.69	3.98±0.69
22	Private household occs	12: NonInsured	245,304	490	66.73	4.75	0.82	4.75±0.82
23	Police and firefighters	1: Total	886,858	1,626	62.21	2.81	0.27	2.81±0.27
23	Police and firefighters	2: Age 18-64	875,620	1,609	61.98	2.81	0.27	2.81±0.27
23	Police and firefighters	3: 65+	11,238	17	87.16	0.00	0.00	0.00±0.00
23	Police and firefighters	4: Male	773,823	1,307	63.94	2.60	0.28	2.60±0.28
23	Police and firefighters	5: Female	113,035	319	52.47	3.84	0.59	3.84±0.59
23	Police and firefighters	6: White	681,504	1,244	59.78	2.60	0.26	2.60±0.26
23	Police and firefighters	7: Black	158,253	300	69.93	4.54	1.12	4.54±1.12
23	Police and firefighters	8: Other	47,101	82	79.47	0.96	0.29	0.96±0.29
23	Police and firefighters	9: Hispanic	78,311	214	67.23	1.66	0.36	1.66±0.36
23	Police and firefighters	10: NonHispanic	809,393	1,413	61.79	2.91	0.29	2.91±0.29
23	Police and firefighters	11: Insured	15,403	36	57.34	3.28	1.95	3.28±1.95
23	Police and firefighters	12: NonInsured	870,608	1,589	62.28	2.80	0.27	2.80±0.27
24	Other protective service occs	1: Total	686,375	1,211	71.85	5.81	1.74	5.81±1.74
24	Other protective service occs	2: Age 18-64	616,289	1,095	70.99	4.90	1.53	4.90±1.53
24	Other protective service occs	3: 65+	70,086	116	80.39	19.95	13.69	19.95±13.69
24	Other protective service occs	4: Male	519,256	843	74.47	2.88	0.67	2.88±0.67
24	Other protective service occs	5: Female	167,119	368	64.77	11.83	4.96	11.83±4.96
24	Other protective service occs	6: White	440,058	777	68.81	7.29	2.50	7.29±2.50
24	Other protective service occs	7: Black	176,236	336	77.88	2.62	0.56	2.62±0.56
24	Other protective service occs	8: Other	70,081	98	78.31	2.07	0.64	2.07±0.64
24	Other protective service occs	9: Hispanic	80,252	211	71.28	5.87	2.78	5.87±2.78
24	Other protective service occs	10: NonHispanic	608,771	1,003	72.01	5.80	1.94	5.80±1.94
24	Other protective service occs	11: Insured	141,122	284	72.36	10.88	7.23	10.88±7.23
24	Other protective service occs	12: NonInsured	542,605	924	71.62	4.63	1.36	4.63±1.36
25	Food service	1: Total	3,376,977	6,626	63.52	6.01	0.73	6.01±0.73
25	Food service	2: Age 18-64	3,272,597	6,417	63.03	6.02	0.74	6.02±0.74
25	Food service	3: 65+	104,380	209	84.32	5.41	1.86	5.41±1.86
25	Food service	4: Male	1,535,275	2,497	70.47	4.85	1.17	4.85±1.17
25	Food service	5: Female	1,841,702	4,129	58.70	6.67	0.93	6.67±0.93
25	Food service	6: White	2,594,890	5,095	61.58	5.73	0.77	5.73±0.77
25	Food service	7: Black	444,079	941	68.43	9.66	3.15	9.66±3.15
25	Food service	8: Other	338,008	590	74.56	3.17	0.58	3.17±0.58
25	Food service	9: Hispanic	743,629	1,714	77.51	4.65	1.50	4.65±1.50
25	Food service	10: NonHispanic	2,652,533	4,938	60.49	6.20	0.80	6.20±0.80
25	Food service	11: Insured	1,378,708	2,732	66.73	6.12	1.11	6.12±1.11
25	Food service	12: NonInsured	1,979,084	3,868	61.43	5.98	0.91	5.98±0.91
26	Health service	1: Total	1,514,746	3,675	58.27	5.39	0.65	5.39±0.65
26	Health service	2: Age 18-64	1,452,408	3,522	57.62	5.35	0.65	5.35±0.65
26	Health service	3: 65+	62,338	153	79.03	7.58	3.68	7.58±3.68
26	Health service	4: Male	179,830	347	63.83	4.47	1.06	4.47±1.06
26	Health service	5: Female	1,334,916	3,328	57.60	5.49	0.70	5.49±0.70
26	Health service	6: White	929,199	2,195	54.67	4.92	0.59	4.92±0.59
26	Health service	7: Black	478,804	1,226	64.38	6.73	1.91	6.73±1.91
26	Health service	8: Other	106,743	254	68.34	5.11	1.94	5.11±1.94
26	Health service	9: Hispanic	185,474	661	65.84	5.21	1.32	5.21±1.32
26	Health service	10: NonHispanic	1,333,464	3,019	57.36	5.40	0.69	5.40±0.69
26	Health service	11: Insured	375,219	966	59.02	4.93	1.11	4.93±1.11
26	Health service	12: NonInsured	1,135,334	2,704	58.03	5.53	0.77	5.53±0.77
27	Cleaning and building service	1: Total	2,119,950	4,135	69.59	8.74	1.99	8.74±1.99
27	Cleaning and building service	2: Age 18-64	1,994,420	3,922	68.72	8.91	2.04	8.91±2.04
27	Cleaning and building service	3: 65+	125,530	213	87.12	2.02	0.61	2.02±0.61
27	Cleaning and building service	4: Male	1,170,842	2,004	71.27	11.50	3.58	11.50±3.58
27	Cleaning and building service	5: Female	949,108	2,131	67.62	5.39	0.72	5.39±0.72
27	Cleaning and building service	6: White	1,530,893	2,854	69.71	7.83	2.29	7.83±2.29
27	Cleaning and building service	7: Black	415,250	922	69.00	6.33	1.33	6.33±1.33
27	Cleaning and building service	8: Other	173,807	359	69.98	22.94	13.83	22.94±13.83
27	Cleaning and building service	9: Hispanic	557,987	1,350	77.84	10.04	6.07	10.04±6.07
27	Cleaning and building service	10: NonHispanic	1,566,142	2,791	67.05	8.45	2.03	8.45±2.03
27	Cleaning and building service	11: Insured	598,745	1,213	72.98	7.63	2.99	7.63±2.99
27	Cleaning and building service	12: NonInsured	1,517,027	2,916	68.34	9.07	2.42	9.07±2.42
28	Personal service	1: Total	1,690,931	3,626	62.04	7.93	1.45	7.93±1.45
28	Personal service	2: Age 18-64	1,589,799	3,415	61.21	8.05	1.50	8.05±1.50
28	Personal service	3: 65+	101,132	211	78.84	3.73	0.94	3.73±0.94
28	Personal service	4: Male	317,464	580	66.18	6.81	2.80	6.81±2.80
28	Personal service	5: Female	1,373,466	3,046	61.15	8.15	1.66	8.15±1.66
28	Personal service	6: White	1,283,091	2,696	60.44	7.07	1.47	7.07±1.47
28	Personal service	7: Black	276,131	652	68.93	14.66	6.97	14.66±6.97
28	Personal service	8: Other	131,709	278	65.20	6.35	3.35	6.35±3.35
28	Personal service	9: Hispanic	209,467	656	67.44	18.94	9.55	18.94±9.55
28	Personal service	10: NonHispanic	1,487,766	2,981	61.30	6.76	1.24	6.76±1.24
28	Personal service	11: Insured	384,231	922	63.99	7.47	2.85	7.47±2.85
28	Personal service	12: NonInsured	1,300,398	2,693	61.54	8.08	1.67	8.08±1.67
29	Farm operators and managers	1: Total	672,818	935	78.78	3.06	0.35	3.06±0.35
29	Farm operators and managers	2: Age 18-64	572,381	785	78.20	2.96	0.37	2.96±0.37
29	Farm operators and managers	3: 65+	100,437	150	82.26	3.71	1.06	3.71±1.06
29	Farm operators and managers	4: Male	563,060	770	79.05	2.73	0.33	2.73±0.33
29	Farm operators and managers	5: Female	109,758	165	77.45	5.26	1.48	5.26±1.48
29	Farm operators and managers	6: White	657,508	905	78.96	3.07	0.36	3.07±0.36
29	Farm operators and managers	7: Black	7,137	11	73.92	2.37	0.85	2.37±0.85
29	Farm operators and managers	8: Other	8,172	19	70.14	3.00	0.00	3.00±0.00
29	Farm operators and managers	9: Hispanic	25,482	61	82.34	3.85	1.07	3.85±1.07
29	Farm operators and managers	10: NonHispanic	649,153	876	78.69	3.04	0.36	3.04±0.36
29	Farm operators and managers	11: Insured	100,389	158	78.67	2.87	0.52	2.87±0.52
29	Farm operators and managers	12: NonInsured	570,612	775	78.75	3.09	0.40	3.09±0.40
30	Farm workers and other agricultural workers	1: Total	1,447,437	2,610	74.18	11.85	3.95	11.85±3.95
30	Farm workers and other agricultural workers	2: Age 18-64	1,388,768	2,496	73.87	12.00	4.05	12.00±4.05
30	Farm workers and other agricultural workers	3: 65+	58,669	114	82.36	5.46	1.77	5.46±1.77
30	Farm workers and other agricultural workers	4: Male	1,208,624	2,107	76.18	13.45	4.88	13.45±4.88
30	Farm workers and other agricultural workers	5: Female	238,813	503	65.46	5.41	2.52	5.41±2.52
30	Farm workers and other agricultural workers	6: White	1,248,557	2,205	73.42	13.08	4.43	13.08±4.43
30	Farm workers and other agricultural workers	7: Black	88,210	187	72.91	2.02	0.36	2.02±0.36
30	Farm workers and other agricultural workers	8: Other	110,670	218	85.21	2.13	0.55	2.13±0.55
30	Farm workers and other agricultural workers	9: Hispanic	607,026	1,262	85.66	10.77	4.63	10.77±4.63
30	Farm workers and other agricultural workers	10: NonHispanic	847,620	1,359	67.62	12.06	4.89	12.06±4.89
30	Farm workers and other agricultural workers	11: Insured	663,099	1,242	79.70	16.87	8.21	16.87±8.21
30	Farm workers and other agricultural workers	12: NonInsured	777,130	1,357	70.10	9.08	4.03	9.08±4.03
31	Forestry and fishing occs	1: Total	108,928	162	73.64	4.84	1.85	4.84±1.85
31	Forestry and fishing occs	2: Age 18-64	101,410	152	73.36	5.03	1.90	5.03±1.90
31	Forestry and fishing occs	3: 65+	7,518	10	77.70	0.00	0.00	0.00±0.00
31	Forestry and fishing occs	4: Male	105,165	153	73.76	3.33	0.98	3.33±0.98
31	Forestry and fishing occs	5: Female	3,763	9	70.50	30.96	28.25	30.96±28.25
31	Forestry and fishing occs	6: White	95,655	142	72.22	3.04	0.98	3.04±0.98
31	Forestry and fishing occs	7: Black	8,062	14	82.65	30.75	24.63	30.75±24.63
31	Forestry and fishing occs	8: Other	5,212	6	91.04	3.00	0.00	3.00±0.00
31	Forestry and fishing occs	9: Hispanic	5,647	13	75.35	2.49	0.35	2.49±0.35
31	Forestry and fishing occs	10: NonHispanic	103,875	150	73.66	4.90	1.89	4.90±1.89
31	Forestry and fishing occs	11: Insured	47,093	72	71.46	3.77	1.38	3.77±1.38
31	Forestry and fishing occs	12: NonInsured	61,241	89	75.21	5.75	3.47	5.75±3.47
32	Mechanics and repairers	1: Total	3,105,291	5,111	66.98	4.59	0.69	4.59±0.69
32	Mechanics and repairers	2: Age 18-64	3,037,624	4,998	66.74	4.60	0.69	4.60±0.69
32	Mechanics and repairers	3: 65+	67,667	113	79.82	3.30	0.95	3.30±0.95
32	Mechanics and repairers	4: Male	2,977,950	4,826	67.20	4.57	0.72	4.57±0.72
32	Mechanics and repairers	5: Female	127,341	285	62.26	4.95	1.26	4.95±1.26
32	Mechanics and repairers	6: White	2,688,581	4,365	66.72	3.62	0.35	3.62±0.35
32	Mechanics and repairers	7: Black	252,184	478	66.86	3.70	1.09	3.70±1.09
32	Mechanics and repairers	8: Other	164,527	268	71.77	23.91	12.72	23.91±12.72
32	Mechanics and repairers	9: Hispanic	388,847	876	75.82	5.54	2.73	5.54±2.73
32	Mechanics and repairers	10: NonHispanic	2,727,500	4,245	65.91	4.49	0.70	4.49±0.70
32	Mechanics and repairers	11: Insured	501,561	919	68.93	8.85	4.10	8.85±4.10
32	Mechanics and repairers	12: NonInsured	2,592,674	4,182	66.60	3.92	0.46	3.92±0.46
33	Construction and extractive trades	1: Total	4,039,974	6,532	70.18	7.04	1.31	7.04±1.31
33	Construction and extractive trades	2: Age 18-64	3,969,254	6,412	70.09	7.09	1.32	7.09±1.32
33	Construction and extractive trades	3: 65+	70,720	120	75.63	3.12	0.56	3.12±0.56
33	Construction and extractive trades	4: Male	3,938,783	6,342	70.24	6.96	1.33	6.96±1.33
33	Construction and extractive trades	5: Female	101,192	190	68.03	10.27	5.69	10.27±5.69
33	Construction and extractive trades	6: White	3,550,215	5,631	69.78	7.00	1.43	7.00±1.43
33	Construction and extractive trades	7: Black	300,026	529	73.37	7.15	3.79	7.15±3.79
33	Construction and extractive trades	8: Other	189,733	372	73.07	7.96	2.29	7.96±2.29
33	Construction and extractive trades	9: Hispanic	808,389	1,634	81.01	5.50	1.15	5.50±1.15
33	Construction and extractive trades	10: NonHispanic	3,243,906	4,917	67.96	7.24	1.47	7.24±1.47
33	Construction and extractive trades	11: Insured	1,436,206	2,532	71.94	5.31	0.70	5.31±0.70
33	Construction and extractive trades	12: NonInsured	2,591,447	3,981	69.19	7.89	1.89	7.89±1.89
34	Precision production occs	1: Total	2,289,653	3,923	67.84	6.28	1.45	6.28±1.45
34	Precision production occs	2: Age 18-64	2,231,313	3,837	67.53	6.32	1.46	6.32±1.46
34	Precision production occs	3: 65+	58,339	86	82.29	1.93	0.62	1.93±0.62
34	Precision production occs	4: Male	1,785,215	2,837	69.45	6.37	1.90	6.37±1.90
34	Precision production occs	5: Female	504,437	1,086	62.70	6.03	1.45	6.03±1.45
34	Precision production occs	6: White	1,924,975	3,236	67.24	5.88	1.60	5.88±1.60
34	Precision production occs	7: Black	195,999	397	68.30	9.45	3.65	9.45±3.65
34	Precision production occs	8: Other	168,679	290	74.82	7.85	6.01	7.85±6.01
34	Precision production occs	9: Hispanic	375,124	874	76.93	8.17	3.75	8.17±3.75
34	Precision production occs	10: NonHispanic	1,919,951	3,054	66.34	6.01	1.57	6.01±1.57
34	Precision production occs	11: Insured	306,709	551	75.92	9.78	4.45	9.78±4.45
34	Precision production occs	12: NonInsured	1,977,521	3,367	66.71	5.87	1.54	5.87±1.54
35	Machine operators/tenderers, except precision	1: Total	2,991,751	5,450	68.82	11.47	2.39	11.47±2.39
35	Machine operators/tenderers, except precision	2: Age 18-64	2,938,321	5,352	68.69	11.55	2.41	11.55±2.41
35	Machine operators/tenderers, except precision	3: 65+	53,430	98	76.58	5.46	1.83	5.46±1.83
35	Machine operators/tenderers, except precision	4: Male	2,049,469	3,311	71.21	13.84	3.61	13.84±3.61
35	Machine operators/tenderers, except precision	5: Female	942,282	2,139	64.14	7.48	2.00	7.48±2.00
35	Machine operators/tenderers, except precision	6: White	2,320,685	4,117	67.93	12.47	2.89	12.47±2.89
35	Machine operators/tenderers, except precision	7: Black	415,417	857	70.86	9.36	3.66	9.36±3.66
35	Machine operators/tenderers, except precision	8: Other	255,649	476	74.15	3.21	0.70	3.21±0.70
35	Machine operators/tenderers, except precision	9: Hispanic	650,726	1,596	75.59	14.91	6.18	14.91±6.18
35	Machine operators/tenderers, except precision	10: NonHispanic	2,345,461	3,863	67.15	11.92	3.18	11.92±3.18
35	Machine operators/tenderers, except precision	11: Insured	560,997	1,131	72.50	24.40	11.39	24.40±11.39
35	Machine operators/tenderers, except precision	12: NonInsured	2,426,317	4,310	68.03	8.01	1.48	8.01±1.48
36	Fabricators, assemblers, inspectors, samplers	1: Total	1,734,178	3,167	66.07	6.33	1.05	6.33±1.05
36	Fabricators, assemblers, inspectors, samplers	2: Age 18-64	1,701,065	3,109	65.80	6.37	1.06	6.37±1.06
36	Fabricators, assemblers, inspectors, samplers	3: 65+	33,114	58	83.94	2.16	0.96	2.16±0.96
36	Fabricators, assemblers, inspectors, samplers	4: Male	1,121,723	1,808	68.50	3.87	0.71	3.87±0.71
36	Fabricators, assemblers, inspectors, samplers	5: Female	612,456	1,359	62.05	9.96	2.40	9.96±2.40
36	Fabricators, assemblers, inspectors, samplers	6: White	1,371,645	2,443	65.20	5.29	0.81	5.29±0.81
36	Fabricators, assemblers, inspectors, samplers	7: Black	228,722	479	68.98	11.78	6.26	11.78±6.26
36	Fabricators, assemblers, inspectors, samplers	8: Other	133,812	245	70.70	8.99	2.75	8.99±2.75
36	Fabricators, assemblers, inspectors, samplers	9: Hispanic	325,086	780	75.94	13.88	6.85	13.88±6.85
36	Fabricators, assemblers, inspectors, samplers	10: NonHispanic	1,411,969	2,391	64.20	5.31	0.76	5.31±0.76
36	Fabricators, assemblers, inspectors, samplers	11: Insured	293,242	591	66.58	5.58	2.45	5.58±2.45
36	Fabricators, assemblers, inspectors, samplers	12: NonInsured	1,438,059	2,572	65.93	6.47	1.16	6.47±1.16
37	Motor vehicle operators	1: Total	2,853,829	4,646	72.16	11.64	3.20	11.64±3.20
37	Motor vehicle operators	2: Age 18-64	2,686,508	4,368	71.87	11.94	3.35	11.94±3.35
37	Motor vehicle operators	3: 65+	167,321	278	77.23	4.98	1.60	4.98±1.60
37	Motor vehicle operators	4: Male	2,556,127	3,966	73.98	12.36	3.79	12.36±3.79
37	Motor vehicle operators	5: Female	297,702	680	59.57	7.95	2.33	7.95±2.33
37	Motor vehicle operators	6: White	2,285,332	3,540	71.84	10.85	3.22	10.85±3.22
37	Motor vehicle operators	7: Black	427,582	838	73.36	3.95	0.63	3.95±0.63
37	Motor vehicle operators	8: Other	140,916	268	73.85	52.35	40.70	52.35±40.70
37	Motor vehicle operators	9: Hispanic	380,697	881	75.47	12.34	5.11	12.34±5.11
37	Motor vehicle operators	10: NonHispanic	2,489,897	3,781	71.79	11.57	3.53	11.57±3.53
37	Motor vehicle operators	11: Insured	629,056	1,099	73.61	17.62	9.90	17.62±9.90
37	Motor vehicle operators	12: NonInsured	2,208,009	3,531	71.63	10.23	3.20	10.23±3.20
38	Other transportation, except motor vehicles	1: Total	137,333	185	73.78	43.41	28.78	43.41±28.78
38	Other transportation, except motor vehicles	2: Age 18-64	136,786	183	73.94	43.41	28.78	43.41±28.78
38	Other transportation, except motor vehicles	3: 65+	547	2	48.06	.	.	.±.
38	Other transportation, except motor vehicles	4: Male	134,739	178	73.74	44.28	29.46	44.28±29.46
38	Other transportation, except motor vehicles	5: Female	2,594	7	75.82	7.21	7.11	7.21±7.11
38	Other transportation, except motor vehicles	6: White	116,708	153	73.51	3.91	1.73	3.91±1.73
38	Other transportation, except motor vehicles	7: Black	16,105	28	70.45	198.18	96.24	198.18±96.24
38	Other transportation, except motor vehicles	8: Other	4,520	4	100.00	0.00	0.00	0.00±0.00
38	Other transportation, except motor vehicles	9: Hispanic	3,292	6	64.16	0.74	0.33	0.74±0.33
38	Other transportation, except motor vehicles	10: NonHispanic	134,041	179	74.05	45.58	30.18	45.58±30.18
38	Other transportation, except motor vehicles	11: Insured	6,537	8	71.67	3.00	0.00	3.00±0.00
38	Other transportation, except motor vehicles	12: NonInsured	130,796	177	73.89	44.12	29.27	44.12±29.27
39	Material moving equipment operators	1: Total	815,410	1,289	70.03	8.79	2.96	8.79±2.96
39	Material moving equipment operators	2: Age 18-64	802,292	1,266	69.97	8.84	2.99	8.84±2.99
39	Material moving equipment operators	3: 65+	13,118	23	74.00	4.32	1.86	4.32±1.86
39	Material moving equipment operators	4: Male	766,840	1,186	70.36	9.27	3.20	9.27±3.20
39	Material moving equipment operators	5: Female	48,570	103	65.29	2.82	0.92	2.82±0.92
39	Material moving equipment operators	6: White	651,956	1,019	68.94	10.08	3.59	10.08±3.59
39	Material moving equipment operators	7: Black	122,160	195	75.22	2.57	0.83	2.57±0.83
39	Material moving equipment operators	8: Other	41,295	75	73.36	3.31	1.45	3.31±1.45
39	Material moving equipment operators	9: Hispanic	140,126	285	80.15	3.03	0.77	3.03±0.77
39	Material moving equipment operators	10: NonHispanic	681,454	1,009	68.44	9.47	3.32	9.47±3.32
39	Material moving equipment operators	11: Insured	135,626	222	76.26	5.30	2.91	5.30±2.91
39	Material moving equipment operators	12: NonInsured	673,614	1,062	68.71	9.37	3.39	9.37±3.39
40	Construction laborers	1: Total	777,324	1,295	74.51	3.90	0.72	3.90±0.72
40	Construction laborers	2: Age 18-64	754,808	1,265	74.17	3.93	0.73	3.93±0.73
40	Construction laborers	3: 65+	22,516	30	87.65	2.19	1.12	2.19±1.12
40	Construction laborers	4: Male	759,225	1,257	74.56	3.89	0.74	3.89±0.74
40	Construction laborers	5: Female	18,100	38	72.42	4.32	2.68	4.32±2.68
40	Construction laborers	6: White	646,135	1,059	74.10	3.77	0.71	3.77±0.71
40	Construction laborers	7: Black	72,153	122	73.25	6.39	3.80	6.39±3.80
40	Construction laborers	8: Other	59,036	114	81.10	0.90	0.26	0.90±0.26
40	Construction laborers	9: Hispanic	268,026	533	82.85	1.88	0.34	1.88±0.34
40	Construction laborers	10: NonHispanic	510,712	765	70.81	4.46	0.92	4.46±0.92
40	Construction laborers	11: Insured	365,520	687	73.30	4.48	1.25	4.48±1.25
40	Construction laborers	12: NonInsured	410,390	605	75.54	3.40	0.84	3.40±0.84
41	Freight, stock, material handlers	1: Total	2,554,570	4,373	67.30	9.33	1.98	9.33±1.98
41	Freight, stock, material handlers	2: Age 18-64	2,473,459	4,229	67.01	9.37	2.01	9.37±2.01
41	Freight, stock, material handlers	3: 65+	81,111	144	77.39	6.90	4.09	6.90±4.09
41	Freight, stock, material handlers	4: Male	1,972,249	3,136	68.14	8.71	2.33	8.71±2.33
41	Freight, stock, material handlers	5: Female	582,320	1,237	64.59	11.09	3.80	11.09±3.80
41	Freight, stock, material handlers	6: White	1,911,066	3,212	66.35	7.60	1.76	7.60±1.76
41	Freight, stock, material handlers	7: Black	449,343	809	70.13	16.84	7.91	16.84±7.91
41	Freight, stock, material handlers	8: Other	194,160	352	70.60	10.38	8.21	10.38±8.21
41	Freight, stock, material handlers	9: Hispanic	567,228	1,228	77.72	13.49	5.70	13.49±5.70
41	Freight, stock, material handlers	10: NonHispanic	2,002,249	3,164	64.89	8.58	2.10	8.58±2.10
41	Freight, stock, material handlers	11: Insured	688,675	1,216	71.35	8.49	3.10	8.49±3.10
41	Freight, stock, material handlers	12: NonInsured	1,850,987	3,138	65.85	9.61	2.40	9.61±2.40
	*Population estimate for those with 0 bed days