Table 4. Occupational Groups, Sample Size and Population Estimates, Work Lost Days by 41 Occupations
	Occupation 41 Classes	Group	Population Estimates	Sample Size	Estimated Prevalence of 0 work lost days in the prior 12 months	Average # days among participants having at least 1 work lost day in prior 12 months	Standard Error of average # work lost days	X+SE Work Lost Days
	All Workers	1: Total	66,391,817	151,835	52.92	8.59	0.10	8.59±0.10
0	All Occupations	1: Total	66,391,817	151,835	52.92	8.59	0.10	8.59±0.10
0	All Occupations	2: Age 18-64	63,658,541	146,335	52.35	8.50	0.10	8.50±0.10
0	All Occupations	3: 65+	2,733,276	5,500	71.18	13.57	0.85	13.57±0.85
0	All Occupations	4: Male	39,103,150	75,235	57.89	8.68	0.15	8.68±0.15
0	All Occupations	5: Female	27,288,667	76,600	47.13	8.51	0.12	8.51±0.12
0	All Occupations	6: White	54,623,735	121,633	52.36	8.33	0.11	8.33±0.11
0	All Occupations	7: Black	7,279,720	20,296	53.66	10.59	0.30	10.59±0.30
0	All Occupations	8: Other	4,488,362	9,906	59.32	8.76	0.46	8.76±0.46
0	All Occupations	9: Hispanic	8,684,149	25,531	62.58	9.41	0.34	9.41±0.34
0	All Occupations	10: NonHispanic	57,885,103	126,605	51.74	8.52	0.11	8.52±0.11
0	All Occupations	11: Insured	11,601,786	25,917	61.07	9.55	0.32	9.55±0.32
0	All Occupations	12: NonInsured	54,612,596	125,617	51.45	8.45	0.11	8.45±0.11
1	Officials and administrators public admin	1: Total	319,453	957	41.40	8.13	0.92	8.13±0.92
1	Officials and administrators public admin	2: Age 18-64	295,201	912	39.84	7.93	0.89	7.93±0.89
1	Officials and administrators public admin	3: 65+	24,252	45	79.09	21.58	16.15	21.58±16.15
1	Officials and administrators public admin	4: Male	183,706	435	45.61	8.33	1.53	8.33±1.53
1	Officials and administrators public admin	5: Female	135,747	522	36.80	7.93	1.05	7.93±1.05
1	Officials and administrators public admin	6: White	265,459	745	41.80	6.98	0.91	6.98±0.91
1	Officials and administrators public admin	7: Black	46,972	180	42.16	13.15	3.13	13.15±3.13
1	Officials and administrators public admin	8: Other	7,022	32	27.91	13.71	7.33	13.71±7.33
1	Officials and administrators public admin	9: Hispanic	14,976	71	36.79	5.41	0.76	5.41±0.76
1	Officials and administrators public admin	10: NonHispanic	304,477	886	41.65	8.29	0.97	8.29±0.97
1	Officials and administrators public admin	11: Insured	9,643	24	47.79	3.64	0.70	3.64±0.70
1	Officials and administrators public admin	12: NonInsured	309,810	933	41.23	8.23	0.94	8.23±0.94
2	Managers administrators, except public administration	1: Total	6,819,289	14,438	55.23	6.82	0.28	6.82±0.28
2	Managers administrators, except public administration	2: Age 18-64	6,577,022	13,948	54.83	6.71	0.28	6.71±0.28
2	Managers administrators, except public administration	3: 65+	242,266	490	68.71	12.25	2.04	12.25±2.04
2	Managers administrators, except public administration	4: Male	4,390,722	7,811	60.16	6.48	0.41	6.48±0.41
2	Managers administrators, except public administration	5: Female	2,428,567	6,627	48.10	7.20	0.33	7.20±0.33
2	Managers administrators, except public administration	6: White	6,045,656	12,448	55.17	6.61	0.29	6.61±0.29
2	Managers administrators, except public administration	7: Black	442,650	1,279	53.76	9.67	1.21	9.67±1.21
2	Managers administrators, except public administration	8: Other	330,983	711	58.58	6.63	0.92	6.63±0.92
2	Managers administrators, except public administration	9: Hispanic	476,380	1,431	59.13	7.27	1.00	7.27±1.00
2	Managers administrators, except public administration	10: NonHispanic	6,353,339	13,028	54.95	6.89	0.31	6.89±0.31
2	Managers administrators, except public administration	11: Insured	672,437	1,350	66.53	10.95	1.59	10.95±1.59
2	Managers administrators, except public administration	12: NonInsured	6,136,422	13,067	54.23	6.45	0.26	6.45±0.26
3	Management related occs	1: Total	2,349,587	6,179	46.38	7.19	0.47	7.19±0.47
3	Management related occs	2: Age 18-64	2,245,788	5,988	45.66	7.17	0.48	7.17±0.48
3	Management related occs	3: 65+	103,800	191	70.27	8.61	1.72	8.61±1.72
3	Management related occs	4: Male	1,180,080	2,330	55.10	6.17	0.46	6.17±0.46
3	Management related occs	5: Female	1,169,508	3,849	39.99	7.75	0.69	7.75±0.69
3	Management related occs	6: White	2,011,319	5,039	46.59	6.99	0.53	6.99±0.53
3	Management related occs	7: Black	224,377	787	45.82	8.37	1.08	8.37±1.08
3	Management related occs	8: Other	113,892	353	44.02	8.20	2.05	8.20±2.05
3	Management related occs	9: Hispanic	137,135	593	43.98	7.57	1.04	7.57±1.04
3	Management related occs	10: NonHispanic	2,216,756	5,592	46.57	7.17	0.50	7.17±0.50
3	Management related occs	11: Insured	155,362	371	60.79	9.97	2.47	9.97±2.47
3	Management related occs	12: NonInsured	2,189,921	5,802	45.59	7.08	0.49	7.08±0.49
4	Engineers	1: Total	951,093	2,131	48.16	5.87	0.56	5.87±0.56
4	Engineers	2: Age 18-64	926,977	2,092	47.70	5.68	0.55	5.68±0.55
4	Engineers	3: 65+	24,116	39	76.47	31.21	20.32	31.21±20.32
4	Engineers	4: Male	878,108	1,868	49.54	5.84	0.64	5.84±0.64
4	Engineers	5: Female	72,985	263	36.08	6.09	0.86	6.09±0.86
4	Engineers	6: White	811,343	1,810	47.85	5.72	0.57	5.72±0.57
4	Engineers	7: Black	43,287	126	47.79	5.97	1.29	5.97±1.29
4	Engineers	8: Other	96,464	195	51.14	7.21	2.23	7.21±2.23
4	Engineers	9: Hispanic	55,038	149	54.32	7.15	1.90	7.15±1.90
4	Engineers	10: NonHispanic	898,573	1,984	47.88	5.81	0.58	5.81±0.58
4	Engineers	11: Insured	22,362	47	56.32	3.16	1.23	3.16±1.23
4	Engineers	12: NonInsured	926,213	2,082	47.94	5.92	0.57	5.92±0.57
5	Architects and surveyors	1: Total	113,365	261	49.86	5.69	1.24	5.69±1.24
5	Architects and surveyors	2: Age 18-64	107,339	250	49.26	5.59	1.27	5.59±1.27
5	Architects and surveyors	3: 65+	6,025	11	63.68	8.93	2.78	8.93±2.78
5	Architects and surveyors	4: Male	89,628	212	47.63	6.06	1.43	6.06±1.43
5	Architects and surveyors	5: Female	23,736	49	60.59	3.36	0.46	3.36±0.46
5	Architects and surveyors	6: White	100,221	228	50.35	5.90	1.42	5.90±1.42
5	Architects and surveyors	7: Black	8,038	15	69.77	4.16	1.53	4.16±1.53
5	Architects and surveyors	8: Other	5,105	18	30.39	4.41	1.24	4.41±1.24
5	Architects and surveyors	9: Hispanic	7,883	27	56.87	21.30	18.31	21.30±18.31
5	Architects and surveyors	10: NonHispanic	105,482	234	49.41	4.83	0.82	4.83±0.82
5	Architects and surveyors	11: Insured	4,840	17	45.32	10.41	4.69	10.41±4.69
5	Architects and surveyors	12: NonInsured	108,525	244	50.09	5.44	1.28	5.44±1.28
6	Natural mathematical/computer scientists	1: Total	1,167,236	3,083	44.57	5.26	0.23	5.26±0.23
6	Natural mathematical/computer scientists	2: Age 18-64	1,152,575	3,050	44.40	5.25	0.23	5.25±0.23
6	Natural mathematical/computer scientists	3: 65+	14,661	33	62.87	6.37	1.44	6.37±1.44
6	Natural mathematical/computer scientists	4: Male	860,759	2,015	47.01	4.68	0.27	4.68±0.27
6	Natural mathematical/computer scientists	5: Female	306,477	1,068	38.90	6.43	0.45	6.43±0.45
6	Natural mathematical/computer scientists	6: White	886,407	2,390	42.85	4.93	0.23	4.93±0.23
6	Natural mathematical/computer scientists	7: Black	73,819	262	44.34	9.59	1.48	9.59±1.48
6	Natural mathematical/computer scientists	8: Other	207,009	431	53.96	5.15	0.75	5.15±0.75
6	Natural mathematical/computer scientists	9: Hispanic	52,860	196	45.23	6.46	1.28	6.46±1.28
6	Natural mathematical/computer scientists	10: NonHispanic	1,119,943	2,893	44.63	5.22	0.24	5.22±0.24
6	Natural mathematical/computer scientists	11: Insured	55,086	144	54.04	7.14	1.98	7.14±1.98
6	Natural mathematical/computer scientists	12: NonInsured	1,106,583	2,933	44.09	5.18	0.23	5.18±0.23
7	Health diagnosing occs	1: Total	775,411	1,148	73.68	6.68	0.93	6.68±0.93
7	Health diagnosing occs	2: Age 18-64	729,463	1,081	73.44	6.08	0.86	6.08±0.86
7	Health diagnosing occs	3: 65+	45,948	67	77.60	18.72	8.65	18.72±8.65
7	Health diagnosing occs	4: Male	593,613	774	78.08	6.50	1.34	6.50±1.34
7	Health diagnosing occs	5: Female	181,798	374	62.22	6.97	1.22	6.97±1.22
7	Health diagnosing occs	6: White	648,490	948	73.65	6.17	0.90	6.17±0.90
7	Health diagnosing occs	7: Black	27,833	61	69.25	12.86	8.94	12.86±8.94
7	Health diagnosing occs	8: Other	99,088	139	75.21	8.04	3.68	8.04±3.68
7	Health diagnosing occs	9: Hispanic	35,027	85	67.73	4.65	0.77	4.65±0.77
7	Health diagnosing occs	10: NonHispanic	741,898	1,064	74.03	6.82	0.99	6.82±0.99
7	Health diagnosing occs	11: Insured	26,807	50	75.62	17.76	13.49	17.76±13.49
7	Health diagnosing occs	12: NonInsured	747,090	1,097	73.57	6.33	0.82	6.33±0.82
8	Health assessment/treating occs	1: Total	1,441,049	3,979	43.87	8.10	0.55	8.10±0.55
8	Health assessment/treating occs	2: Age 18-64	1,396,494	3,885	43.32	8.06	0.56	8.06±0.56
8	Health assessment/treating occs	3: 65+	44,555	94	72.32	12.58	3.82	12.58±3.82
8	Health assessment/treating occs	4: Male	224,904	485	52.26	7.00	1.27	7.00±1.27
8	Health assessment/treating occs	5: Female	1,216,146	3,494	42.60	8.24	0.59	8.24±0.59
8	Health assessment/treating occs	6: White	1,202,164	3,272	43.01	8.07	0.61	8.07±0.61
8	Health assessment/treating occs	7: Black	151,442	494	48.67	8.55	1.45	8.55±1.45
8	Health assessment/treating occs	8: Other	87,443	213	48.86	7.87	2.60	7.87±2.60
8	Health assessment/treating occs	9: Hispanic	56,871	230	48.90	6.99	1.60	6.99±1.60
8	Health assessment/treating occs	10: NonHispanic	1,387,229	3,754	43.71	8.13	0.57	8.13±0.57
8	Health assessment/treating occs	11: Insured	64,527	199	50.72	12.82	5.20	12.82±5.20
8	Health assessment/treating occs	12: NonInsured	1,373,471	3,775	43.56	7.94	0.53	7.94±0.53
9	Teachers, librarians, counselors	1: Total	3,230,135	8,308	47.34	5.74	0.26	5.74±0.26
9	Teachers, librarians, counselors	2: Age 18-64	3,107,365	8,060	46.69	5.67	0.26	5.67±0.26
9	Teachers, librarians, counselors	3: 65+	122,770	248	73.45	11.38	4.82	11.38±4.82
9	Teachers, librarians, counselors	4: Male	1,180,986	2,392	55.03	5.23	0.42	5.23±0.42
9	Teachers, librarians, counselors	5: Female	2,049,149	5,916	43.81	5.93	0.32	5.93±0.32
9	Teachers, librarians, counselors	6: White	2,741,702	6,929	46.24	5.70	0.28	5.70±0.28
9	Teachers, librarians, counselors	7: Black	318,744	999	51.46	6.25	0.74	6.25±0.74
9	Teachers, librarians, counselors	8: Other	169,689	380	61.77	5.53	0.70	5.53±0.70
9	Teachers, librarians, counselors	9: Hispanic	176,916	695	49.65	5.54	0.70	5.54±0.70
9	Teachers, librarians, counselors	10: NonHispanic	3,057,658	7,619	47.24	5.75	0.27	5.75±0.27
9	Teachers, librarians, counselors	11: Insured	182,683	505	50.78	8.13	1.36	8.13±1.36
9	Teachers, librarians, counselors	12: NonInsured	3,043,012	7,797	47.12	5.62	0.27	5.62±0.27
10	Writers, artists, entertainers, athletes	1: Total	1,202,315	2,885	52.78	7.14	0.57	7.14±0.57
10	Writers, artists, entertainers, athletes	2: Age 18-64	1,130,752	2,754	51.71	6.93	0.56	6.93±0.56
10	Writers, artists, entertainers, athletes	3: 65+	71,563	131	78.29	18.34	7.88	18.34±7.88
10	Writers, artists, entertainers, athletes	4: Male	659,018	1,414	56.20	6.47	0.87	6.47±0.87
10	Writers, artists, entertainers, athletes	5: Female	543,296	1,471	49.16	7.75	0.70	7.75±0.70
10	Writers, artists, entertainers, athletes	6: White	1,041,177	2,502	51.50	7.11	0.61	7.11±0.61
10	Writers, artists, entertainers, athletes	7: Black	96,745	239	62.71	8.83	2.93	8.83±2.93
10	Writers, artists, entertainers, athletes	8: Other	64,392	144	63.19	5.23	0.70	5.23±0.70
10	Writers, artists, entertainers, athletes	9: Hispanic	90,772	301	57.13	8.38	2.03	8.38±2.03
10	Writers, artists, entertainers, athletes	10: NonHispanic	1,118,449	2,593	52.61	7.05	0.59	7.05±0.59
10	Writers, artists, entertainers, athletes	11: Insured	190,742	489	55.70	7.78	1.08	7.78±1.08
10	Writers, artists, entertainers, athletes	12: NonInsured	1,004,666	2,387	52.09	7.03	0.63	7.03±0.63
11	Other professional specialty occs	1: Total	1,337,236	3,618	45.99	7.69	0.47	7.69±0.47
11	Other professional specialty occs	2: Age 18-64	1,247,659	3,422	44.97	7.48	0.46	7.48±0.46
11	Other professional specialty occs	3: 65+	89,578	196	67.32	15.07	4.58	15.07±4.58
11	Other professional specialty occs	4: Male	781,787	1,638	52.91	7.07	0.67	7.07±0.67
11	Other professional specialty occs	5: Female	555,450	1,980	38.84	8.19	0.64	8.19±0.64
11	Other professional specialty occs	6: White	1,118,404	2,908	45.95	7.45	0.53	7.45±0.53
11	Other professional specialty occs	7: Black	154,413	562	44.73	9.08	1.06	9.08±1.06
11	Other professional specialty occs	8: Other	64,420	148	50.25	8.51	1.86	8.51±1.86
11	Other professional specialty occs	9: Hispanic	74,759	309	48.90	9.23	2.02	9.23±2.02
11	Other professional specialty occs	10: NonHispanic	1,263,615	3,312	45.82	7.60	0.48	7.60±0.48
11	Other professional specialty occs	11: Insured	95,989	214	60.91	5.44	0.78	5.44±0.78
11	Other professional specialty occs	12: NonInsured	1,240,110	3,401	45.14	7.79	0.49	7.79±0.49
12	Health technologists/technicians	1: Total	817,818	2,267	44.67	8.16	0.59	8.16±0.59
12	Health technologists/technicians	2: Age 18-64	802,804	2,228	44.42	8.06	0.58	8.06±0.58
12	Health technologists/technicians	3: 65+	15,014	39	64.91	19.89	16.05	19.89±16.05
12	Health technologists/technicians	4: Male	179,069	395	48.47	6.57	0.97	6.57±0.97
12	Health technologists/technicians	5: Female	638,749	1,872	43.71	8.52	0.70	8.52±0.70
12	Health technologists/technicians	6: White	643,425	1,737	43.50	7.75	0.67	7.75±0.67
12	Health technologists/technicians	7: Black	101,403	375	44.92	10.30	1.36	10.30±1.36
12	Health technologists/technicians	8: Other	72,990	155	57.97	9.57	2.70	9.57±2.70
12	Health technologists/technicians	9: Hispanic	76,216	288	52.74	9.83	2.44	9.83±2.44
12	Health technologists/technicians	10: NonHispanic	744,416	1,983	44.06	8.03	0.60	8.03±0.60
12	Health technologists/technicians	11: Insured	57,032	192	46.39	4.96	0.68	4.96±0.68
12	Health technologists/technicians	12: NonInsured	757,973	2,071	44.48	8.38	0.63	8.38±0.63
13	Technologists, technicians except health	1: Total	1,200,933	3,116	45.81	5.87	0.34	5.87±0.34
13	Technologists, technicians except health	2: Age 18-64	1,179,990	3,078	45.49	5.88	0.34	5.88±0.34
13	Technologists, technicians except health	3: 65+	20,943	38	75.25	3.07	0.62	3.07±0.62
13	Technologists, technicians except health	4: Male	865,405	1,996	48.46	5.11	0.35	5.11±0.35
13	Technologists, technicians except health	5: Female	335,528	1,120	40.14	7.28	0.71	7.28±0.71
13	Technologists, technicians except health	6: White	981,506	2,549	44.77	5.66	0.37	5.66±0.37
13	Technologists, technicians except health	7: Black	93,081	296	47.05	8.76	1.47	8.76±1.47
13	Technologists, technicians except health	8: Other	126,346	271	54.59	5.37	0.72	5.37±0.72
13	Technologists, technicians except health	9: Hispanic	75,157	311	44.96	5.39	0.92	5.39±0.92
13	Technologists, technicians except health	10: NonHispanic	1,126,827	2,810	45.85	5.90	0.36	5.90±0.36
13	Technologists, technicians except health	11: Insured	85,197	207	54.74	7.70	2.35	7.70±2.35
13	Technologists, technicians except health	12: NonInsured	1,114,686	2,904	45.26	5.78	0.34	5.78±0.34
14	Supervisors and proprietors	1: Total	2,270,848	4,351	59.63	6.73	0.38	6.73±0.38
14	Supervisors and proprietors	2: Age 18-64	2,194,940	4,198	59.40	6.57	0.37	6.57±0.37
14	Supervisors and proprietors	3: 65+	75,908	153	67.46	13.59	4.87	13.59±4.87
14	Supervisors and proprietors	4: Male	1,475,071	2,429	64.59	6.07	0.54	6.07±0.54
14	Supervisors and proprietors	5: Female	795,777	1,922	52.21	7.46	0.52	7.46±0.52
14	Supervisors and proprietors	6: White	1,981,451	3,758	59.00	6.63	0.39	6.63±0.39
14	Supervisors and proprietors	7: Black	142,800	344	60.06	7.60	1.66	7.60±1.66
14	Supervisors and proprietors	8: Other	146,597	249	69.26	7.63	1.97	7.63±1.97
14	Supervisors and proprietors	9: Hispanic	179,418	516	66.44	8.24	1.64	8.24±1.64
14	Supervisors and proprietors	10: NonHispanic	2,096,051	3,842	59.15	6.64	0.39	6.64±0.39
14	Supervisors and proprietors	11: Insured	296,891	571	64.91	9.53	1.79	9.53±1.79
14	Supervisors and proprietors	12: NonInsured	1,969,337	3,773	58.88	6.41	0.37	6.41±0.37
15	Sales representatives, commodities and finance	1: Total	2,343,507	4,804	56.12	6.41	0.38	6.41±0.38
15	Sales representatives, commodities and finance	2: Age 18-64	2,199,578	4,565	55.08	6.31	0.39	6.31±0.39
15	Sales representatives, commodities and finance	3: 65+	143,929	239	78.63	10.72	2.63	10.72±2.63
15	Sales representatives, commodities and finance	4: Male	1,603,565	2,773	61.21	5.11	0.40	5.11±0.40
15	Sales representatives, commodities and finance	5: Female	739,942	2,031	47.54	8.02	0.73	8.02±0.73
15	Sales representatives, commodities and finance	6: White	2,127,890	4,299	55.97	6.49	0.41	6.49±0.41
15	Sales representatives, commodities and finance	7: Black	123,596	305	57.79	6.46	1.54	6.46±1.54
15	Sales representatives, commodities and finance	8: Other	92,021	200	57.40	4.28	0.57	4.28±0.57
15	Sales representatives, commodities and finance	9: Hispanic	140,979	443	54.88	7.56	1.22	7.56±1.22
15	Sales representatives, commodities and finance	10: NonHispanic	2,206,150	4,367	56.17	6.34	0.40	6.34±0.40
15	Sales representatives, commodities and finance	11: Insured	217,527	474	59.81	7.78	1.21	7.78±1.21
15	Sales representatives, commodities and finance	12: NonInsured	2,122,359	4,324	55.79	6.28	0.40	6.28±0.40
16	Other sales	1: Total	3,325,193	7,221	54.66	8.39	0.45	8.39±0.45
16	Other sales	2: Age 18-64	3,129,854	6,795	54.09	8.17	0.46	8.17±0.46
16	Other sales	3: 65+	195,339	426	65.77	13.92	2.41	13.92±2.41
16	Other sales	4: Male	1,397,431	2,457	59.99	7.42	0.65	7.42±0.65
16	Other sales	5: Female	1,927,762	4,764	51.35	8.88	0.61	8.88±0.61
16	Other sales	6: White	2,658,589	5,669	53.89	8.53	0.52	8.53±0.52
16	Other sales	7: Black	401,162	1,012	56.05	8.01	1.33	8.01±1.33
16	Other sales	8: Other	265,442	540	61.11	7.17	1.07	7.17±1.07
16	Other sales	9: Hispanic	440,524	1,343	61.65	7.61	1.10	7.61±1.10
16	Other sales	10: NonHispanic	2,897,591	5,900	53.77	8.45	0.48	8.45±0.48
16	Other sales	11: Insured	787,255	1,800	56.96	7.96	0.96	7.96±0.96
16	Other sales	12: NonInsured	2,525,016	5,399	53.95	8.52	0.51	8.52±0.51
17	Computer equipment operators	1: Total	169,436	466	45.40	6.32	0.86	6.32±0.86
17	Computer equipment operators	2: Age 18-64	168,639	465	45.28	6.32	0.86	6.32±0.86
17	Computer equipment operators	3: 65+	798	1	100.00			.±.
17	Computer equipment operators	4: Male	91,610	185	53.65	4.80	1.13	4.80±1.13
17	Computer equipment operators	5: Female	77,826	281	38.43	7.28	1.23	7.28±1.23
17	Computer equipment operators	6: White	117,411	348	40.65	5.38	0.61	5.38±0.61
17	Computer equipment operators	7: Black	30,228	81	56.72	13.70	5.57	13.70±5.57
17	Computer equipment operators	8: Other	21,797	37	70.02	5.18	1.19	5.18±1.19
17	Computer equipment operators	9: Hispanic	12,800	48	52.87	4.40	0.71	4.40±0.71
17	Computer equipment operators	10: NonHispanic	156,636	418	44.88	6.43	0.91	6.43±0.91
17	Computer equipment operators	11: Insured	7,729	33	35.30	6.37	1.59	6.37±1.59
17	Computer equipment operators	12: NonInsured	161,707	433	46.03	6.31	0.91	6.31±0.91
18	Secretaries, stenographers and typists	1: Total	1,198,209	3,347	45.46	7.41	0.43	7.41±0.43
18	Secretaries, stenographers and typists	2: Age 18-64	1,133,092	3,185	44.75	7.39	0.44	7.39±0.44
18	Secretaries, stenographers and typists	3: 65+	65,117	162	62.70	8.06	1.61	8.06±1.61
18	Secretaries, stenographers and typists	4: Male	29,052	72	50.41	5.59	1.01	5.59±1.01
18	Secretaries, stenographers and typists	5: Female	1,169,157	3,275	45.35	7.44	0.44	7.44±0.44
18	Secretaries, stenographers and typists	6: White	1,057,438	2,806	45.72	7.17	0.46	7.17±0.46
18	Secretaries, stenographers and typists	7: Black	96,345	396	41.43	9.35	1.36	9.35±1.36
18	Secretaries, stenographers and typists	8: Other	44,426	145	49.15	8.04	1.87	8.04±1.87
18	Secretaries, stenographers and typists	9: Hispanic	100,562	439	49.20	7.79	1.02	7.79±1.02
18	Secretaries, stenographers and typists	10: NonHispanic	1,099,760	2,919	45.10	7.41	0.45	7.41±0.45
18	Secretaries, stenographers and typists	11: Insured	108,347	281	55.27	6.60	1.31	6.60±1.31
18	Secretaries, stenographers and typists	12: NonInsured	1,087,748	3,055	44.71	7.43	0.45	7.43±0.45
19	Financial records processing occs	1: Total	991,987	2,635	47.80	7.21	0.43	7.21±0.43
19	Financial records processing occs	2: Age 18-64	925,745	2,480	46.90	7.16	0.43	7.16±0.43
19	Financial records processing occs	3: 65+	66,243	155	65.42	8.88	1.71	8.88±1.71
19	Financial records processing occs	4: Male	117,086	249	55.57	6.97	1.45	6.97±1.45
19	Financial records processing occs	5: Female	874,901	2,386	46.92	7.24	0.45	7.24±0.45
19	Financial records processing occs	6: White	836,647	2,186	47.71	7.22	0.49	7.22±0.49
19	Financial records processing occs	7: Black	82,216	298	41.10	7.24	1.14	7.24±1.14
19	Financial records processing occs	8: Other	73,125	151	60.17	7.06	1.28	7.06±1.28
19	Financial records processing occs	9: Hispanic	71,794	326	45.32	7.78	1.38	7.78±1.38
19	Financial records processing occs	10: NonHispanic	920,711	2,311	48.01	7.16	0.45	7.16±0.45
19	Financial records processing occs	11: Insured	90,613	237	55.32	7.31	1.39	7.31±1.39
19	Financial records processing occs	12: NonInsured	900,857	2,396	47.15	7.21	0.45	7.21±0.45
20	Mail and message distributing	1: Total	394,563	1,073	45.01	13.43	1.62	13.43±1.62
20	Mail and message distributing	2: Age 18-64	372,114	1,030	44.04	13.57	1.65	13.57±1.65
20	Mail and message distributing	3: 65+	22,449	43	70.89	6.48	3.12	6.48±3.12
20	Mail and message distributing	4: Male	226,037	575	44.50	13.30	2.47	13.30±2.47
20	Mail and message distributing	5: Female	168,526	498	45.71	13.61	1.93	13.61±1.93
20	Mail and message distributing	6: White	272,661	742	43.15	14.07	2.11	14.07±2.11
20	Mail and message distributing	7: Black	90,017	266	47.02	12.72	2.20	12.72±2.20
20	Mail and message distributing	8: Other	31,885	65	59.93	6.13	1.64	6.13±1.64
20	Mail and message distributing	9: Hispanic	34,321	135	44.42	14.90	5.32	14.90±5.32
20	Mail and message distributing	10: NonHispanic	360,242	938	45.07	13.29	1.69	13.29±1.69
20	Mail and message distributing	11: Insured	43,796	101	54.17	19.39	9.05	19.39±9.05
20	Mail and message distributing	12: NonInsured	350,767	972	44.08	12.93	1.58	12.93±1.58
21	Other administrative support	1: Total	4,972,437	14,177	44.40	7.98	0.26	7.98±0.26
21	Other administrative support	2: Age 18-64	4,772,788	13,703	43.82	7.93	0.27	7.93±0.27
21	Other administrative support	3: 65+	199,649	474	64.46	10.48	1.58	10.48±1.58
21	Other administrative support	4: Male	1,534,450	3,361	51.94	7.99	0.69	7.99±0.69
21	Other administrative support	5: Female	3,437,987	10,816	41.69	7.97	0.27	7.97±0.27
21	Other administrative support	6: White	3,944,755	10,810	43.79	7.64	0.30	7.64±0.30
21	Other administrative support	7: Black	730,266	2,502	45.62	9.95	0.68	9.95±0.68
21	Other administrative support	8: Other	297,416	865	50.39	7.95	1.09	7.95±1.09
21	Other administrative support	9: Hispanic	607,571	2,335	52.05	9.77	1.04	9.77±1.04
21	Other administrative support	10: NonHispanic	4,372,143	11,867	43.47	7.80	0.27	7.80±0.27
21	Other administrative support	11: Insured	564,620	1,554	50.84	8.62	1.04	8.62±1.04
21	Other administrative support	12: NonInsured	4,400,540	12,598	43.72	7.91	0.28	7.91±0.28
22	Private household occs	1: Total	468,370	1,046	68.97	8.86	1.18	8.86±1.18
22	Private household occs	2: Age 18-64	423,546	941	67.93	8.86	1.24	8.86±1.24
22	Private household occs	3: 65+	44,824	105	80.61	8.92	2.85	8.92±2.85
22	Private household occs	4: Male	29,429	42	83.02	3.12	0.86	3.12±0.86
22	Private household occs	5: Female	438,941	1,004	68.19	9.03	1.22	9.03±1.22
22	Private household occs	6: White	357,155	783	68.59	8.38	1.15	8.38±1.15
22	Private household occs	7: Black	61,363	146	72.49	12.84	5.59	12.84±5.59
22	Private household occs	8: Other	49,852	117	67.56	8.29	4.08	8.29±4.08
22	Private household occs	9: Hispanic	166,922	489	73.97	9.89	2.17	9.89±2.17
22	Private household occs	10: NonHispanic	301,990	561	66.04	8.32	1.38	8.32±1.38
22	Private household occs	11: Insured	215,228	552	69.82	7.57	1.30	7.57±1.30
22	Private household occs	12: NonInsured	252,600	490	68.82	10.12	1.93	10.12±1.93
23	Police and firefighters	1: Total	659,422	1,613	46.63	9.49	1.05	9.49±1.05
23	Police and firefighters	2: Age 18-64	648,324	1,596	46.26	9.49	1.05	9.49±1.05
23	Police and firefighters	3: 65+	11,098	17	86.08	9.75	7.60	9.75±7.60
23	Police and firefighters	4: Male	572,904	1,298	47.70	7.78	0.59	7.78±0.59
23	Police and firefighters	5: Female	86,518	315	40.60	17.99	5.24	17.99±5.24
23	Police and firefighters	6: White	513,523	1,236	45.30	8.83	1.12	8.83±1.12
23	Police and firefighters	7: Black	115,293	296	52.00	13.19	3.15	13.19±3.15
23	Police and firefighters	8: Other	30,606	81	52.00	9.99	3.59	9.99±3.59
23	Police and firefighters	9: Hispanic	53,087	212	45.94	7.69	1.37	7.69±1.37
23	Police and firefighters	10: NonHispanic	607,181	1,402	46.72	9.65	1.14	9.65±1.14
23	Police and firefighters	11: Insured	15,744	36	58.61	8.32	3.99	8.32±3.99
23	Police and firefighters	12: NonInsured	642,832	1,576	46.36	9.51	1.06	9.51±1.06
24	Other protective service occs	1: Total	589,144	1,213	61.42	9.71	1.47	9.71±1.47
24	Other protective service occs	2: Age 18-64	524,339	1,097	60.13	8.72	1.19	8.72±1.19
24	Other protective service occs	3: 65+	64,805	116	74.33	25.08	12.86	25.08±12.86
24	Other protective service occs	4: Male	447,871	842	64.28	7.07	0.89	7.07±0.89
24	Other protective service occs	5: Female	141,273	371	53.82	15.14	3.99	15.14±3.99
24	Other protective service occs	6: White	387,204	779	60.17	10.67	2.09	10.67±2.09
24	Other protective service occs	7: Black	140,915	336	62.28	7.86	1.59	7.86±1.59
24	Other protective service occs	8: Other	61,025	98	68.19	6.62	1.53	6.62±1.53
24	Other protective service occs	9: Hispanic	66,114	211	58.72	11.39	3.15	11.39±3.15
24	Other protective service occs	10: NonHispanic	525,678	1,005	61.90	9.47	1.61	9.47±1.61
24	Other protective service occs	11: Insured	127,943	285	64.65	8.07	2.04	8.07±2.04
24	Other protective service occs	12: NonInsured	458,553	925	60.44	10.09	1.82	10.09±1.82
25	Food service	1: Total	3,029,942	6,606	57.18	8.57	0.52	8.57±0.52
25	Food service	2: Age 18-64	2,941,543	6,402	56.81	8.49	0.52	8.49±0.52
25	Food service	3: 65+	88,399	204	72.96	14.42	3.09	14.42±3.09
25	Food service	4: Male	1,358,599	2,494	62.44	7.67	0.78	7.67±0.78
25	Food service	5: Female	1,671,343	4,112	53.52	9.08	0.66	9.08±0.66
25	Food service	6: White	2,343,798	5,083	55.75	8.63	0.60	8.63±0.60
25	Food service	7: Black	384,101	936	59.66	8.98	0.98	8.98±0.98
25	Food service	8: Other	302,044	587	66.92	7.20	1.05	7.20±1.05
25	Food service	9: Hispanic	661,431	1,711	69.02	7.55	0.93	7.55±0.93
25	Food service	10: NonHispanic	2,382,363	4,920	54.54	8.70	0.57	8.70±0.57
25	Food service	11: Insured	1,258,603	2,727	61.10	8.27	0.78	8.27±0.78
25	Food service	12: NonInsured	1,757,488	3,854	54.73	8.78	0.64	8.78±0.64
26	Health service	1: Total	1,227,675	3,653	47.47	10.40	0.75	10.40±0.75
26	Health service	2: Age 18-64	1,172,663	3,503	46.75	10.36	0.76	10.36±0.76
26	Health service	3: 65+	55,012	150	70.53	12.56	4.10	12.56±4.10
26	Health service	4: Male	149,095	345	53.11	9.48	2.07	9.48±2.07
26	Health service	5: Female	1,078,580	3,308	46.78	10.50	0.79	10.50±0.79
26	Health service	6: White	745,337	2,189	43.91	9.72	0.92	9.72±0.92
26	Health service	7: Black	390,643	1,214	53.13	11.83	1.34	11.83±1.34
26	Health service	8: Other	91,695	250	59.72	12.92	3.21	12.92±3.21
26	Health service	9: Hispanic	164,419	653	58.97	10.22	2.31	10.22±2.31
26	Health service	10: NonHispanic	1,067,449	3,005	46.12	10.40	0.79	10.40±0.79
26	Health service	11: Insured	331,115	962	52.15	8.58	0.93	8.58±0.93
26	Health service	12: NonInsured	892,367	2,686	45.90	10.95	0.91	10.95±0.91
27	Cleaning and building service	1: Total	1,787,772	4,117	58.87	10.91	0.87	10.91±0.87
27	Cleaning and building service	2: Age 18-64	1,675,545	3,905	57.91	11.01	0.90	11.01±0.90
27	Cleaning and building service	3: 65+	112,228	212	78.09	6.92	1.41	6.92±1.41
27	Cleaning and building service	4: Male	957,279	2,000	58.30	10.19	1.05	10.19±1.05
27	Cleaning and building service	5: Female	830,493	2,117	59.53	11.79	1.36	11.79±1.36
27	Cleaning and building service	6: White	1,297,392	2,839	59.34	10.41	0.95	10.41±0.95
27	Cleaning and building service	7: Black	340,082	918	56.76	11.95	1.38	11.95±1.38
27	Cleaning and building service	8: Other	150,298	360	59.77	12.67	5.49	12.67±5.49
27	Cleaning and building service	9: Hispanic	495,574	1,343	69.04	12.13	2.38	12.13±2.38
27	Cleaning and building service	10: NonHispanic	1,295,778	2,780	55.72	10.63	0.89	10.63±0.89
27	Cleaning and building service	11: Insured	541,915	1,208	66.25	9.73	1.93	9.73±1.93
27	Cleaning and building service	12: NonInsured	1,242,278	2,903	56.14	11.27	0.94	11.27±0.94
28	Personal service	1: Total	1,565,798	3,615	57.65	9.57	0.69	9.57±0.69
28	Personal service	2: Age 18-64	1,474,238	3,407	56.90	9.66	0.71	9.66±0.71
28	Personal service	3: 65+	91,560	208	73.36	6.68	0.89	6.68±0.89
28	Personal service	4: Male	285,358	578	59.57	9.64	1.64	9.64±1.64
28	Personal service	5: Female	1,280,440	3,037	57.24	9.56	0.78	9.56±0.78
28	Personal service	6: White	1,180,104	2,687	55.82	9.43	0.77	9.43±0.77
28	Personal service	7: Black	263,017	650	65.76	10.25	1.50	10.25±1.50
28	Personal service	8: Other	122,677	278	60.81	10.10	2.23	10.10±2.23
28	Personal service	9: Hispanic	202,220	654	65.20	9.53	1.42	9.53±1.42
28	Personal service	10: NonHispanic	1,370,580	2,972	56.69	9.54	0.76	9.54±0.76
28	Personal service	11: Insured	366,037	922	60.90	10.90	1.35	10.90±1.35
28	Personal service	12: NonInsured	1,192,759	2,682	56.72	9.27	0.83	9.27±0.83
29	Farm operators and managers	1: Total	645,268	931	75.85	9.17	1.20	9.17±1.20
29	Farm operators and managers	2: Age 18-64	552,209	783	75.57	7.51	1.14	7.51±1.14
29	Farm operators and managers	3: 65+	93,059	148	77.55	20.21	4.42	20.21±4.42
29	Farm operators and managers	4: Male	532,187	768	74.93	7.90	1.03	7.90±1.03
29	Farm operators and managers	5: Female	113,081	163	80.50	17.43	6.62	17.43±6.62
29	Farm operators and managers	6: White	630,877	902	75.96	9.02	1.22	9.02±1.22
29	Farm operators and managers	7: Black	5,311	10	62.29	15.17	7.55	15.17±7.55
29	Farm operators and managers	8: Other	9,080	19	77.93	13.88	8.70	13.88±8.70
29	Farm operators and managers	9: Hispanic	25,489	61	82.36	11.92	3.72	11.92±3.72
29	Farm operators and managers	10: NonHispanic	621,595	872	75.66	9.10	1.22	9.10±1.22
29	Farm operators and managers	11: Insured	100,169	157	78.79	6.42	1.20	6.42±1.20
29	Farm operators and managers	12: NonInsured	543,282	772	75.27	9.59	1.37	9.59±1.37
30	Farm workers and other agricultural workers	1: Total	1,314,240	2,601	67.50	11.08	1.26	11.08±1.26
30	Farm workers and other agricultural workers	2: Age 18-64	1,258,490	2,489	67.07	10.99	1.29	10.99±1.29
30	Farm workers and other agricultural workers	3: 65+	55,749	112	78.85	14.98	5.58	14.98±5.58
30	Farm workers and other agricultural workers	4: Male	1,077,800	2,103	68.01	11.11	1.37	11.11±1.37
30	Farm workers and other agricultural workers	5: Female	236,440	498	65.23	10.96	2.50	10.96±2.50
30	Farm workers and other agricultural workers	6: White	1,138,391	2,201	66.94	11.63	1.40	11.63±1.40
30	Farm workers and other agricultural workers	7: Black	77,091	184	64.60	5.86	0.88	5.86±0.88
30	Farm workers and other agricultural workers	8: Other	98,758	216	77.63	8.11	1.84	8.11±1.84
30	Farm workers and other agricultural workers	9: Hispanic	560,653	1,259	79.25	8.71	1.53	8.71±1.53
30	Farm workers and other agricultural workers	10: NonHispanic	759,412	1,353	60.74	11.72	1.56	11.72±1.56
30	Farm workers and other agricultural workers	11: Insured	600,359	1,234	72.31	11.99	2.33	11.99±2.33
30	Farm workers and other agricultural workers	12: NonInsured	708,055	1,356	64.01	10.65	1.36	10.65±1.36
31	Forestry and fishing occs	1: Total	102,364	162	69.20	22.01	8.52	22.01±8.52
31	Forestry and fishing occs	2: Age 18-64	94,436	152	68.31	21.69	8.87	21.69±8.87
31	Forestry and fishing occs	3: 65+	7,929	10	81.94	30.00	0.00	30.00±0.00
31	Forestry and fishing occs	4: Male	99,523	153	69.80	22.56	9.01	22.56±9.01
31	Forestry and fishing occs	5: Female	2,842	9	53.24	12.64	7.44	12.64±7.44
31	Forestry and fishing occs	6: White	90,358	142	68.22	22.25	9.22	22.25±9.22
31	Forestry and fishing occs	7: Black	6,795	14	69.67	21.98	8.83	21.98±8.83
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	6,438	13	85.90	2.49	0.35	2.49±0.35
31	Forestry and fishing occs	10: NonHispanic	96,521	150	68.44	22.48	8.71	22.48±8.71
31	Forestry and fishing occs	11: Insured	44,877	72	68.09	7.67	2.05	7.67±2.05
31	Forestry and fishing occs	12: NonInsured	56,893	89	69.87	34.31	15.14	34.31±15.14
32	Mechanics and repairers	1: Total	2,562,889	5,095	55.48	9.97	0.62	9.97±0.62
32	Mechanics and repairers	2: Age 18-64	2,500,369	4,982	55.14	9.94	0.62	9.94±0.62
32	Mechanics and repairers	3: 65+	62,520	113	73.75	12.57	4.04	12.57±4.04
32	Mechanics and repairers	4: Male	2,470,088	4,811	55.94	9.73	0.62	9.73±0.62
32	Mechanics and repairers	5: Female	92,801	284	45.48	14.05	3.43	14.05±3.43
32	Mechanics and repairers	6: White	2,232,241	4,350	55.59	9.35	0.63	9.35±0.63
32	Mechanics and repairers	7: Black	200,586	477	53.31	11.88	2.13	11.88±2.13
32	Mechanics and repairers	8: Other	130,062	268	57.12	17.77	4.96	17.77±4.96
32	Mechanics and repairers	9: Hispanic	327,299	874	64.23	11.19	2.79	11.19±2.79
32	Mechanics and repairers	10: NonHispanic	2,245,112	4,231	54.42	9.94	0.65	9.94±0.65
32	Mechanics and repairers	11: Insured	440,020	912	61.08	11.43	1.61	11.43±1.61
32	Mechanics and repairers	12: NonInsured	2,113,348	4,173	54.41	9.63	0.67	9.63±0.67
33	Construction and extractive trades	1: Total	3,472,032	6,504	60.58	11.79	0.61	11.79±0.61
33	Construction and extractive trades	2: Age 18-64	3,406,135	6,387	60.39	11.64	0.61	11.64±0.61
33	Construction and extractive trades	3: 65+	65,898	117	72.74	25.33	9.71	25.33±9.71
33	Construction and extractive trades	4: Male	3,378,415	6,313	60.52	11.78	0.62	11.78±0.62
33	Construction and extractive trades	5: Female	93,617	191	62.81	12.10	2.96	12.10±2.96
33	Construction and extractive trades	6: White	3,039,332	5,610	59.96	11.57	0.66	11.57±0.66
33	Construction and extractive trades	7: Black	260,576	526	64.18	11.77	2.47	11.77±2.47
33	Construction and extractive trades	8: Other	172,125	368	67.13	17.11	4.57	17.11±4.57
33	Construction and extractive trades	9: Hispanic	715,784	1,623	72.32	11.14	1.30	11.14±1.30
33	Construction and extractive trades	10: NonHispanic	2,766,276	4,900	58.16	11.85	0.68	11.85±0.68
33	Construction and extractive trades	11: Insured	1,256,767	2,518	63.38	12.17	1.16	12.17±1.16
33	Construction and extractive trades	12: NonInsured	2,205,238	3,967	59.07	11.63	0.76	11.63±0.76
34	Precision production occs	1: Total	1,830,056	3,910	54.37	10.25	0.71	10.25±0.71
34	Precision production occs	2: Age 18-64	1,775,185	3,825	53.87	10.24	0.72	10.24±0.72
34	Precision production occs	3: 65+	54,871	85	77.92	11.32	3.57	11.32±3.57
34	Precision production occs	4: Male	1,439,940	2,830	56.14	10.27	0.85	10.27±0.85
34	Precision production occs	5: Female	390,115	1,080	48.71	10.18	1.11	10.18±1.11
34	Precision production occs	6: White	1,529,175	3,223	53.59	10.21	0.76	10.21±0.76
34	Precision production occs	7: Black	163,033	397	56.74	12.78	3.15	12.78±3.15
34	Precision production occs	8: Other	137,848	290	61.26	7.11	1.18	7.11±1.18
34	Precision production occs	9: Hispanic	298,862	874	61.17	9.94	1.48	9.94±1.48
34	Precision production occs	10: NonHispanic	1,536,616	3,041	53.29	10.30	0.79	10.30±0.79
34	Precision production occs	11: Insured	242,922	549	60.31	7.37	1.00	7.37±1.00
34	Precision production occs	12: NonInsured	1,581,712	3,356	53.50	10.57	0.79	10.57±0.79
35	Machine operators/tenderers, except precision	1: Total	2,397,216	5,428	55.26	12.93	0.88	12.93±0.88
35	Machine operators/tenderers, except precision	2: Age 18-64	2,353,164	5,332	55.11	12.90	0.89	12.90±0.89
35	Machine operators/tenderers, except precision	3: 65+	44,052	96	64.56	14.92	3.49	14.92±3.49
35	Machine operators/tenderers, except precision	4: Male	1,660,733	3,307	57.70	12.52	1.24	12.52±1.24
35	Machine operators/tenderers, except precision	5: Female	736,483	2,121	50.46	13.62	1.06	13.62±1.06
35	Machine operators/tenderers, except precision	6: White	1,844,268	4,101	54.05	13.00	1.03	13.00±1.03
35	Machine operators/tenderers, except precision	7: Black	340,185	857	58.12	14.27	2.11	14.27±2.11
35	Machine operators/tenderers, except precision	8: Other	212,763	470	62.54	9.49	1.97	9.49±1.97
35	Machine operators/tenderers, except precision	9: Hispanic	567,159	1,584	66.24	11.07	1.48	11.07±1.48
35	Machine operators/tenderers, except precision	10: NonHispanic	1,832,047	3,854	52.49	13.24	0.99	13.24±0.99
35	Machine operators/tenderers, except precision	11: Insured	472,177	1,126	60.93	8.43	1.08	8.43±1.08
35	Machine operators/tenderers, except precision	12: NonInsured	1,923,049	4,292	54.10	13.77	1.03	13.77±1.03
36	Fabricators, assemblers, inspectors, samplers	1: Total	1,397,346	3,155	53.57	12.93	0.91	12.93±0.91
36	Fabricators, assemblers, inspectors, samplers	2: Age 18-64	1,370,516	3,097	53.35	12.91	0.91	12.91±0.91
36	Fabricators, assemblers, inspectors, samplers	3: 65+	26,830	58	68.01	14.63	4.47	14.63±4.47
36	Fabricators, assemblers, inspectors, samplers	4: Male	903,224	1,800	55.55	11.83	1.28	11.83±1.28
36	Fabricators, assemblers, inspectors, samplers	5: Female	494,122	1,355	50.30	14.56	1.27	14.56±1.27
36	Fabricators, assemblers, inspectors, samplers	6: White	1,104,478	2,433	52.80	12.30	0.95	12.30±0.95
36	Fabricators, assemblers, inspectors, samplers	7: Black	175,799	479	53.29	14.61	2.63	14.61±2.63
36	Fabricators, assemblers, inspectors, samplers	8: Other	117,069	243	62.75	18.11	4.70	18.11±4.70
36	Fabricators, assemblers, inspectors, samplers	9: Hispanic	282,301	779	66.17	11.94	1.60	11.94±1.60
36	Fabricators, assemblers, inspectors, samplers	10: NonHispanic	1,117,921	2,380	51.17	13.06	1.01	13.06±1.01
36	Fabricators, assemblers, inspectors, samplers	11: Insured	249,706	588	56.98	9.72	1.62	9.72±1.62
36	Fabricators, assemblers, inspectors, samplers	12: NonInsured	1,144,763	2,563	52.82	13.52	1.02	13.52±1.02
37	Motor vehicle operators	1: Total	2,434,869	4,632	61.66	14.77	1.02	14.77±1.02
37	Motor vehicle operators	2: Age 18-64	2,286,059	4,355	61.23	14.46	1.02	14.46±1.02
37	Motor vehicle operators	3: 65+	148,811	277	68.96	21.38	6.98	21.38±6.98
37	Motor vehicle operators	4: Male	2,186,187	3,955	63.31	14.37	1.05	14.37±1.05
37	Motor vehicle operators	5: Female	248,682	677	50.14	16.81	3.76	16.81±3.76
37	Motor vehicle operators	6: White	1,944,367	3,532	61.18	14.65	1.14	14.65±1.14
37	Motor vehicle operators	7: Black	361,871	831	62.65	14.52	2.47	14.52±2.47
37	Motor vehicle operators	8: Other	128,631	269	66.58	17.96	5.39	17.96±5.39
37	Motor vehicle operators	9: Hispanic	339,087	877	67.32	15.90	2.98	15.90±2.98
37	Motor vehicle operators	10: NonHispanic	2,110,066	3,771	60.93	14.65	1.09	14.65±1.09
37	Motor vehicle operators	11: Insured	569,369	1,094	66.69	13.14	2.27	13.14±2.27
37	Motor vehicle operators	12: NonInsured	1,851,216	3,522	60.16	15.13	1.21	15.13±1.21
38	Other transportation, except motor vehicles	1: Total	121,976	185	64.93	22.15	6.01	22.15±6.01
38	Other transportation, except motor vehicles	2: Age 18-64	120,837	183	64.71	22.15	6.01	22.15±6.01
38	Other transportation, except motor vehicles	3: 65+	1,139	2	100.00			.±.
38	Other transportation, except motor vehicles	4: Male	120,110	178	65.12	22.15	6.14	22.15±6.14
38	Other transportation, except motor vehicles	5: Female	1,866	7	54.55	21.93	18.60	21.93±18.60
38	Other transportation, except motor vehicles	6: White	109,301	152	69.09	12.56	4.89	12.56±4.89
38	Other transportation, except motor vehicles	7: Black	11,690	29	46.46	62.14	29.56	62.14±29.56
38	Other transportation, except motor vehicles	8: Other	985	4	21.80	2.35	0.06	2.35±0.06
38	Other transportation, except motor vehicles	9: Hispanic	1,944	6	37.88	5.22	0.96	5.22±0.96
38	Other transportation, except motor vehicles	10: NonHispanic	120,032	179	65.68	23.01	6.33	23.01±6.33
38	Other transportation, except motor vehicles	11: Insured	7,977	8	87.45	3.00	0.00	3.00±0.00
38	Other transportation, except motor vehicles	12: NonInsured	113,999	177	63.78	22.48	6.12	22.48±6.12
39	Material moving equipment operators	1: Total	643,122	1,287	55.27	13.74	1.36	13.74±1.36
39	Material moving equipment operators	2: Age 18-64	630,728	1,264	55.05	13.79	1.37	13.79±1.37
39	Material moving equipment operators	3: 65+	12,394	23	69.91	8.75	3.70	8.75±3.70
39	Material moving equipment operators	4: Male	607,228	1,184	55.75	14.03	1.43	14.03±1.43
39	Material moving equipment operators	5: Female	35,895	103	48.25	10.14	2.67	10.14±2.67
39	Material moving equipment operators	6: White	517,532	1,020	54.69	13.83	1.72	13.83±1.72
39	Material moving equipment operators	7: Black	89,391	192	55.55	11.07	3.22	11.07±3.22
39	Material moving equipment operators	8: Other	36,200	75	64.31	21.38	10.86	21.38±10.86
39	Material moving equipment operators	9: Hispanic	114,588	285	65.54	10.18	2.17	10.18±2.17
39	Material moving equipment operators	10: NonHispanic	531,277	1,007	53.40	14.12	1.50	14.12±1.50
39	Material moving equipment operators	11: Insured	108,815	218	62.21	14.15	5.05	14.15±5.05
39	Material moving equipment operators	12: NonInsured	531,564	1,064	54.11	13.77	1.37	13.77±1.37
40	Construction laborers	1: Total	674,417	1,277	65.43	10.63	1.49	10.63±1.49
40	Construction laborers	2: Age 18-64	654,314	1,248	65.08	10.70	1.51	10.70±1.51
40	Construction laborers	3: 65+	20,103	29	79.39	6.45	2.90	6.45±2.90
40	Construction laborers	4: Male	658,509	1,240	65.45	10.30	1.44	10.30±1.44
40	Construction laborers	5: Female	15,908	37	64.64	24.04	19.47	24.04±19.47
40	Construction laborers	6: White	561,828	1,045	65.18	10.41	1.63	10.41±1.63
40	Construction laborers	7: Black	58,316	119	60.45	12.16	4.56	12.16±4.56
40	Construction laborers	8: Other	54,273	113	75.06	11.09	3.79	11.09±3.79
40	Construction laborers	9: Hispanic	244,626	529	76.04	7.81	1.36	7.81±1.36
40	Construction laborers	10: NonHispanic	431,204	751	60.69	11.41	1.87	11.41±1.87
40	Construction laborers	11: Insured	326,099	677	66.29	11.80	2.40	11.80±2.40
40	Construction laborers	12: NonInsured	346,904	597	64.55	9.62	1.83	9.62±1.83
41	Freight, stock, material handlers	1: Total	2,076,803	4,361	54.84	10.67	0.72	10.67±0.72
41	Freight, stock, material handlers	2: Age 18-64	1,999,727	4,218	54.30	10.46	0.74	10.46±0.74
41	Freight, stock, material handlers	3: 65+	77,077	143	73.94	24.15	7.60	24.15±7.60
41	Freight, stock, material handlers	4: Male	1,626,587	3,128	56.36	10.77	0.93	10.77±0.93
41	Freight, stock, material handlers	5: Female	450,216	1,233	50.00	10.41	0.92	10.41±0.92
41	Freight, stock, material handlers	6: White	1,562,961	3,203	54.44	9.84	0.68	9.84±0.68
41	Freight, stock, material handlers	7: Black	354,234	806	55.37	16.04	3.01	16.04±3.01
41	Freight, stock, material handlers	8: Other	159,609	352	57.88	6.93	1.08	6.93±1.08
41	Freight, stock, material handlers	9: Hispanic	472,198	1,223	65.07	11.95	2.24	11.95±2.24
41	Freight, stock, material handlers	10: NonHispanic	1,618,062	3,157	52.53	10.43	0.74	10.43±0.74
41	Freight, stock, material handlers	11: Insured	586,462	1,212	60.96	9.19	1.48	9.19±1.48
41	Freight, stock, material handlers	12: NonInsured	1,476,885	3,130	52.65	11.13	0.83	11.13±0.83