Table 6. Average Number of Lost Work Days (≥ 1) in the past 2 weeks by 41 Occupations
					Acute Disability
	Occupation 13 Classes	Group	Sample Size	Population Estimates	Estimated Prevalence of  0 Lost Work Days in Prior 2 Weeks	Average # days among particpants having at least 1 Lost Work Day in Prior 2 Weeks	Standard Error of Average # Lost Work Days	X+SE
1	Officials and administrators public admin	1: Total	2,157	542,174	93.56	2.38	0.21	2.38±0.21
1	Officials and administrators public admin	2: Male	1,212	315,909	95.27	2.76	0.34	2.76±0.34
1	Officials and administrators public admin	3: Female	945	226,264	91.17	2.09	0.29	2.09±0.29
1	Officials and administrators public admin	4: White	1,861	472,920	93.68	2.39	0.21	2.39±0.21
1	Officials and administrators public admin	5: Black	225	49,487	92.43	2.42	0.70	2.42±0.70
1	Officials and administrators public admin	6: Other	71	19,766	93.41	2.02	0.40	2.02±0.40
1	Officials and administrators public admin	7: Hispanic	92	23,438	91.76	2.24	0.75	2.24±0.75
1	Officials and administrators public admin	8: NonHispanic	2,065	518,736	93.64	2.39	0.21	2.39±0.21
2	Managers administrators, except public administration	1: Total	44,320	11,337,987	95.25	3.29	0.08	3.29±0.08
2	Managers administrators, except public administration	2: Male	27,924	7,260,207	96.34	3.55	0.13	3.55±0.13
2	Managers administrators, except public administration	3: Female	16,396	4,077,780	93.31	3.04	0.10	3.04±0.10
2	Managers administrators, except public administration	4: White	40,233	10,358,556	95.28	3.24	0.08	3.24±0.08
2	Managers administrators, except public administration	5: Black	2,760	630,687	94.48	3.81	0.29	3.81±0.29
2	Managers administrators, except public administration	6: Other	1,327	348,745	95.83	3.93	0.64	3.93±0.64
2	Managers administrators, except public administration	7: Hispanic	2,061	537,742	94.70	3.05	0.29	3.05±0.29
2	Managers administrators, except public administration	8: NonHispanic	42,259	10,800,245	95.28	3.31	0.09	3.31±0.09
3	Management related occs	1: Total	15,574	3,975,190	93.87	2.82	0.11	2.82±0.11
3	Management related occs	2: Male	7,267	1,909,843	95.38	2.89	0.18	2.89±0.18
3	Management related occs	3: Female	8,307	2,065,347	92.46	2.78	0.14	2.78±0.14
3	Management related occs	4: White	13,613	3,508,911	93.84	2.74	0.11	2.74±0.11
3	Management related occs	5: Black	1,342	302,468	93.57	3.37	0.36	3.37±0.36
3	Management related occs	6: Other	619	163,811	95.04	3.45	0.70	3.45±0.70
3	Management related occs	7: Hispanic	795	208,368	92.21	3.15	0.55	3.15±0.55
3	Management related occs	8: NonHispanic	14,779	3,766,822	93.96	2.79	0.12	2.79±0.12
4	Engineers	1: Total	7,700	2,009,300	95.78	2.56	0.17	2.56±0.17
4	Engineers	2: Male	7,054	1,848,533	95.98	2.52	0.18	2.52±0.18
4	Engineers	3: Female	646	160,767	93.52	2.86	0.58	2.86±0.58
4	Engineers	4: White	6,831	1,780,112	95.76	2.34	0.15	2.34±0.15
4	Engineers	5: Black	324	85,626	94.36	6.35	1.20	6.35±1.20
4	Engineers	6: Other	545	143,563	96.95	2.17	0.65	2.17±0.65
4	Engineers	7: Hispanic	272	72,090	96.31	4.58	1.38	4.58±1.38
4	Engineers	8: NonHispanic	7,428	1,937,210	95.76	2.49	0.17	2.49±0.17
5	Architects and surveyors	1: Total	778	201,731	94.74	2.89	0.42	2.89±0.42
5	Architects and surveyors	2: Male	678	177,084	95.30	2.95	0.51	2.95±0.51
5	Architects and surveyors	3: Female	100	24,647	90.70	2.70	0.69	2.70±0.69
5	Architects and surveyors	4: White	717	186,076	95.53	2.67	0.43	2.67±0.43
5	Architects and surveyors	5: Black	27	7,204	93.48	7.25	2.70	7.25±2.70
5	Architects and surveyors	6: Other	34	8,451	78.45	2.78	0.71	2.78±0.71
5	Architects and surveyors	7: Hispanic	55	13,983	96.80	3.64	1.05	3.64±1.05
5	Architects and surveyors	8: NonHispanic	723	187,748	94.58	2.86	0.44	2.86±0.44
6	Natural mathematical/computer scientists	1: Total	5,115	1,330,325	93.90	2.16	0.12	2.16±0.12
6	Natural mathematical/computer scientists	2: Male	3,433	907,823	94.85	2.01	0.14	2.01±0.14
6	Natural mathematical/computer scientists	3: Female	1,682	422,502	91.87	2.36	0.20	2.36±0.20
6	Natural mathematical/computer scientists	4: White	4,421	1,154,319	93.98	2.08	0.13	2.08±0.13
6	Natural mathematical/computer scientists	5: Black	342	84,541	92.13	2.89	0.48	2.89±0.48
6	Natural mathematical/computer scientists	6: Other	352	91,465	94.61	2.27	0.60	2.27±0.60
6	Natural mathematical/computer scientists	7: Hispanic	182	48,104	89.75	2.18	0.46	2.18±0.46
6	Natural mathematical/computer scientists	8: NonHispanic	4,933	1,282,221	94.06	2.16	0.11	2.16±0.11
7	Health diagnosing occs	1: Total	3,249	829,443	97.51	3.32	0.39	3.32±0.39
7	Health diagnosing occs	2: Male	2,598	668,142	97.99	3.73	0.54	3.73±0.54
7	Health diagnosing occs	3: Female	651	161,301	95.53	2.56	0.54	2.56±0.54
7	Health diagnosing occs	4: White	2,839	724,399	97.43	3.26	0.40	3.26±0.40
7	Health diagnosing occs	5: Black	130	31,964	97.07	5.17	3.00	5.17±3.00
7	Health diagnosing occs	6: Other	280	73,080	98.52	2.78	0.99	2.78±0.99
7	Health diagnosing occs	7: Hispanic	153	41,633	92.58	3.24	1.01	3.24±1.01
7	Health diagnosing occs	8: NonHispanic	3,096	787,809	97.77	3.33	0.42	3.33±0.42
8	Health assessment/treating occs	1: Total	9,988	2,482,299	92.59	2.91	0.12	2.91±0.12
8	Health assessment/treating occs	2: Male	1,217	316,435	93.45	3.00	0.45	3.00±0.45
8	Health assessment/treating occs	3: Female	8,771	2,165,864	92.46	2.90	0.12	2.90±0.12
8	Health assessment/treating occs	4: White	8,445	2,133,040	92.70	2.80	0.12	2.80±0.12
8	Health assessment/treating occs	5: Black	1,078	230,708	90.91	3.88	0.41	3.88±0.41
8	Health assessment/treating occs	6: Other	465	118,550	93.87	2.36	0.32	2.36±0.32
8	Health assessment/treating occs	7: Hispanic	336	86,259	92.41	3.01	0.55	3.01±0.55
8	Health assessment/treating occs	8: NonHispanic	9,652	2,396,040	92.60	2.91	0.12	2.91±0.12
9	Teachers, librarians, counselors	1: Total	20,938	5,231,152	94.18	2.48	0.08	2.48±0.08
9	Teachers, librarians, counselors	2: Male	6,340	1,642,027	95.64	2.28	0.14	2.28±0.14
9	Teachers, librarians, counselors	3: Female	14,598	3,589,125	93.51	2.54	0.10	2.54±0.10
9	Teachers, librarians, counselors	4: White	18,208	4,612,706	94.19	2.35	0.08	2.35±0.08
9	Teachers, librarians, counselors	5: Black	2,136	452,612	93.85	3.21	0.27	3.21±0.27
9	Teachers, librarians, counselors	6: Other	594	165,834	94.64	4.03	0.58	4.03±0.58
9	Teachers, librarians, counselors	7: Hispanic	828	217,139	93.44	3.21	0.60	3.21±0.60
9	Teachers, librarians, counselors	8: NonHispanic	20,110	5,014,013	94.21	2.45	0.08	2.45±0.08
10	Writers, artists, entertainers, athletes	1: Total	7,538	1,971,725	93.98	3.08	0.14	3.08±0.14
10	Writers, artists, entertainers, athletes	2: Male	3,828	1,025,232	95.20	3.21	0.26	3.21±0.26
10	Writers, artists, entertainers, athletes	3: Female	3,710	946,492	92.65	2.99	0.16	2.99±0.16
10	Writers, artists, entertainers, athletes	4: White	6,879	1,799,120	94.04	3.07	0.15	3.07±0.15
10	Writers, artists, entertainers, athletes	5: Black	411	103,027	92.13	3.47	0.75	3.47±0.75
10	Writers, artists, entertainers, athletes	6: Other	248	69,577	95.05	2.58	0.90	2.58±0.90
10	Writers, artists, entertainers, athletes	7: Hispanic	359	93,668	94.33	4.83	0.93	4.83±0.93
10	Writers, artists, entertainers, athletes	8: NonHispanic	7,179	1,878,056	93.96	3.00	0.15	3.00±0.15
11	Other professional specialty occs	1: Total	8,822	2,227,360	93.98	2.96	0.16	2.96±0.16
11	Other professional specialty occs	2: Male	5,145	1,332,391	95.75	3.09	0.28	3.09±0.28
11	Other professional specialty occs	3: Female	3,677	894,969	91.34	2.87	0.19	2.87±0.19
11	Other professional specialty occs	4: White	7,627	1,952,622	94.09	2.78	0.17	2.78±0.17
11	Other professional specialty occs	5: Black	1,009	225,915	92.57	4.23	0.48	4.23±0.48
11	Other professional specialty occs	6: Other	186	48,823	95.90	2.71	1.59	2.71±1.59
11	Other professional specialty occs	7: Hispanic	388	98,301	91.55	2.38	0.48	2.38±0.48
11	Other professional specialty occs	8: NonHispanic	8,434	2,129,060	94.09	3.00	0.17	3.00±0.17
12	Health technologists/technicians	1: Total	5,558	1,357,639	91.88	3.27	0.17	3.27±0.17
12	Health technologists/technicians	2: Male	922	247,624	93.20	2.98	0.49	2.98±0.49
12	Health technologists/technicians	3: Female	4,636	1,110,015	91.58	3.32	0.18	3.32±0.18
12	Health technologists/technicians	4: White	4,331	1,091,114	91.82	3.19	0.19	3.19±0.19
12	Health technologists/technicians	5: Black	980	198,689	92.01	4.18	0.51	4.18±0.51
12	Health technologists/technicians	6: Other	247	67,836	92.44	1.77	0.38	1.77±0.38
12	Health technologists/technicians	7: Hispanic	345	89,019	92.44	2.68	0.56	2.68±0.56
12	Health technologists/technicians	8: NonHispanic	5,213	1,268,620	91.84	3.30	0.18	3.30±0.18
13	Technologists, technicians except health	1: Total	10,198	2,658,590	93.92	2.72	0.11	2.72±0.11
13	Technologists, technicians except health	2: Male	6,926	1,830,242	94.66	2.66	0.16	2.66±0.16
13	Technologists, technicians except health	3: Female	3,272	828,348	92.28	2.82	0.18	2.82±0.18
13	Technologists, technicians except health	4: White	8,778	2,305,125	93.77	2.67	0.13	2.67±0.13
13	Technologists, technicians except health	5: Black	816	191,172	94.37	3.80	0.72	3.80±0.72
13	Technologists, technicians except health	6: Other	604	162,293	95.48	2.18	0.32	2.18±0.32
13	Technologists, technicians except health	7: Hispanic	549	146,493	94.76	3.50	0.64	3.50±0.64
13	Technologists, technicians except health	8: NonHispanic	9,649	2,512,097	93.87	2.69	0.12	2.69±0.12
14	Supervisors and proprietors	1: Total	13,986	3,596,023	95.60	3.43	0.15	3.43±0.15
14	Supervisors and proprietors	2: Male	8,835	2,315,820	96.44	3.40	0.20	3.40±0.20
14	Supervisors and proprietors	3: Female	5,151	1,280,203	94.08	3.46	0.23	3.46±0.23
14	Supervisors and proprietors	4: White	12,793	3,297,445	95.65	3.35	0.15	3.35±0.15
14	Supervisors and proprietors	5: Black	706	169,165	94.45	4.79	0.77	4.79±0.77
14	Supervisors and proprietors	6: Other	487	129,414	95.92	3.13	0.71	3.13±0.71
14	Supervisors and proprietors	7: Hispanic	751	197,592	95.69	3.53	0.68	3.53±0.68
14	Supervisors and proprietors	8: NonHispanic	13,235	3,398,432	95.60	3.42	0.15	3.42±0.15
15	Sales representatives, commodities and finance	1: Total	13,918	3,603,720	94.96	3.14	0.14	3.14±0.14
15	Sales representatives, commodities and finance	2: Male	9,127	2,395,527	95.67	3.04	0.19	3.04±0.19
15	Sales representatives, commodities and finance	3: Female	4,791	1,208,194	93.54	3.28	0.20	3.28±0.20
15	Sales representatives, commodities and finance	4: White	12,985	3,373,892	94.92	3.18	0.15	3.18±0.15
15	Sales representatives, commodities and finance	5: Black	628	145,970	93.99	2.71	0.48	2.71±0.48
15	Sales representatives, commodities and finance	6: Other	305	83,858	98.31	1.18	0.16	1.18±0.16
15	Sales representatives, commodities and finance	7: Hispanic	603	155,619	93.60	3.25	0.53	3.25±0.53
15	Sales representatives, commodities and finance	8: NonHispanic	13,315	3,448,101	95.02	3.14	0.15	3.14±0.15
16	Other sales	1: Total	23,168	5,892,896	93.79	3.26	0.09	3.26±0.09
16	Other sales	2: Male	7,668	2,016,522	95.21	3.19	0.18	3.19±0.18
16	Other sales	3: Female	15,500	3,876,373	93.05	3.29	0.11	3.29±0.11
16	Other sales	4: White	19,679	5,079,311	93.75	3.15	0.09	3.15±0.09
16	Other sales	5: Black	2,619	574,014	93.15	3.80	0.28	3.80±0.28
16	Other sales	6: Other	870	239,570	96.11	4.92	1.16	4.92±1.16
16	Other sales	7: Hispanic	1,770	453,580	93.56	3.18	0.27	3.18±0.27
16	Other sales	8: NonHispanic	21,398	5,439,315	93.81	3.27	0.10	3.27±0.10
17	Computer equipment operators	1: Total	2,669	670,109	92.73	2.89	0.24	2.89±0.24
17	Computer equipment operators	2: Male	898	239,795	93.55	2.96	0.44	2.96±0.44
17	Computer equipment operators	3: Female	1,771	430,315	92.27	2.86	0.29	2.86±0.29
17	Computer equipment operators	4: White	2,134	551,272	93.11	2.76	0.25	2.76±0.25
17	Computer equipment operators	5: Black	443	94,249	90.96	3.54	0.68	3.54±0.68
17	Computer equipment operators	6: Other	92	24,588	90.90	2.67	0.67	2.67±0.67
17	Computer equipment operators	7: Hispanic	159	42,368	95.10	2.30	1.14	2.30±1.14
17	Computer equipment operators	8: NonHispanic	2,510	627,741	92.57	2.92	0.23	2.92±0.23
18	Secretaries, stenographers and typists	1: Total	17,666	4,413,986	92.70	2.78	0.09	2.78±0.09
18	Secretaries, stenographers and typists	2: Male	318	82,392	94.37	1.72	0.27	1.72±0.27
18	Secretaries, stenographers and typists	3: Female	17,348	4,331,594	92.67	2.79	0.09	2.79±0.09
18	Secretaries, stenographers and typists	4: White	15,405	3,926,331	92.81	2.76	0.10	2.76±0.10
18	Secretaries, stenographers and typists	5: Black	1,888	383,375	91.61	3.09	0.26	3.09±0.26
18	Secretaries, stenographers and typists	6: Other	373	104,279	92.93	2.21	0.36	2.21±0.36
18	Secretaries, stenographers and typists	7: Hispanic	1,053	268,104	93.53	2.99	0.36	2.99±0.36
18	Secretaries, stenographers and typists	8: NonHispanic	16,613	4,145,882	92.65	2.76	0.09	2.76±0.09
19	Financial records processing occs	1: Total	8,945	2,245,512	93.56	2.96	0.14	2.96±0.14
19	Financial records processing occs	2: Male	828	220,612	93.50	3.57	0.58	3.57±0.58
19	Financial records processing occs	3: Female	8,117	2,024,900	93.57	2.89	0.14	2.89±0.14
19	Financial records processing occs	4: White	7,968	2,018,647	93.55	2.87	0.16	2.87±0.16
19	Financial records processing occs	5: Black	664	141,277	93.07	4.26	0.59	4.26±0.59
19	Financial records processing occs	6: Other	313	85,588	94.58	2.74	0.46	2.74±0.46
19	Financial records processing occs	7: Hispanic	471	118,397	91.13	2.65	0.39	2.65±0.39
19	Financial records processing occs	8: NonHispanic	8,474	2,127,115	93.70	2.98	0.15	2.98±0.15
20	Mail and message distributing	1: Total	3,735	914,844	91.99	3.72	0.22	3.72±0.22
20	Mail and message distributing	2: Male	2,307	583,219	92.75	4.04	0.31	4.04±0.31
20	Mail and message distributing	3: Female	1,428	331,625	90.64	3.27	0.28	3.27±0.28
20	Mail and message distributing	4: White	2,729	694,766	92.03	3.76	0.27	3.76±0.27
20	Mail and message distributing	5: Black	850	178,086	92.21	3.70	0.51	3.70±0.51
20	Mail and message distributing	6: Other	156	41,992	90.41	3.22	0.31	3.22±0.31
20	Mail and message distributing	7: Hispanic	280	72,808	88.08	3.13	0.57	3.13±0.57
20	Mail and message distributing	8: NonHispanic	3,455	842,036	92.33	3.79	0.24	3.79±0.24
21	Other administrative support	1: Total	37,119	9,296,535	92.82	2.95	0.07	2.95±0.07
21	Other administrative support	2: Male	9,841	2,592,119	94.72	3.22	0.16	3.22±0.16
21	Other administrative support	3: Female	27,278	6,704,416	92.09	2.88	0.07	2.88±0.07
21	Other administrative support	4: White	30,337	7,787,826	92.88	2.87	0.07	2.87±0.07
21	Other administrative support	5: Black	5,555	1,176,476	92.39	3.47	0.18	3.47±0.18
21	Other administrative support	6: Other	1,227	332,234	93.03	2.84	0.40	2.84±0.40
21	Other administrative support	7: Hispanic	2,857	733,149	92.34	2.96	0.22	2.96±0.22
21	Other administrative support	8: NonHispanic	34,262	8,563,386	92.86	2.95	0.07	2.95±0.07
22	Private household occs	1: Total	3,324	761,954	94.81	3.66	0.25	3.66±0.25
22	Private household occs	2: Male	144	36,030	95.69	3.47	0.84	3.47±0.84
22	Private household occs	3: Female	3,180	725,924	94.77	3.67	0.26	3.67±0.26
22	Private household occs	4: White	2,092	525,115	95.27	3.36	0.27	3.36±0.27
22	Private household occs	5: Black	1,155	215,855	93.49	4.28	0.53	4.28±0.53
22	Private household occs	6: Other	77	20,984	97.01	2.00	0.00	2.00±0.00
22	Private household occs	7: Hispanic	522	128,949	96.85	4.42	1.01	4.42±1.01
22	Private household occs	8: NonHispanic	2,802	633,005	94.39	3.58	0.26	3.58±0.26
23	Police and firefighters	1: Total	4,471	1,157,796	92.40	3.71	0.24	3.71±0.24
23	Police and firefighters	2: Male	3,899	1,021,431	92.78	3.77	0.26	3.77±0.26
23	Police and firefighters	3: Female	572	136,365	89.57	3.40	0.42	3.40±0.42
23	Police and firefighters	4: White	3,722	973,160	92.33	3.63	0.26	3.63±0.26
23	Police and firefighters	5: Black	675	163,151	92.42	4.09	0.57	4.09±0.57
23	Police and firefighters	6: Other	74	21,485	95.46	4.96	2.18	4.96±2.18
23	Police and firefighters	7: Hispanic	281	74,433	93.93	4.33	0.85	4.33±0.85
23	Police and firefighters	8: NonHispanic	4,190	1,083,362	92.30	3.68	0.24	3.68±0.24
24	Other protective service occs	1: Total	3,140	793,111	94.62	3.74	0.28	3.74±0.28
24	Other protective service occs	2: Male	2,488	638,415	95.16	3.76	0.36	3.76±0.36
24	Other protective service occs	3: Female	652	154,696	92.37	3.68	0.49	3.68±0.49
24	Other protective service occs	4: White	2,251	596,080	94.34	3.68	0.32	3.68±0.32
24	Other protective service occs	5: Black	794	172,579	95.19	4.15	0.55	4.15±0.55
24	Other protective service occs	6: Other	95	24,452	97.29	1.65	0.54	1.65±0.54
24	Other protective service occs	7: Hispanic	224	57,736	96.69	2.20	0.53	2.20±0.53
24	Other protective service occs	8: NonHispanic	2,916	735,375	94.45	3.81	0.30	3.81±0.30
25	Food service	1: Total	18,097	4,570,186	93.49	3.34	0.11	3.34±0.11
25	Food service	2: Male	6,577	1,734,081	95.13	3.46	0.20	3.46±0.20
25	Food service	3: Female	11,520	2,836,105	92.49	3.30	0.13	3.30±0.13
25	Food service	4: White	14,187	3,677,566	93.36	3.35	0.11	3.35±0.11
25	Food service	5: Black	2,870	604,271	93.90	3.50	0.29	3.50±0.29
25	Food service	6: Other	1,040	288,349	94.30	2.90	0.54	2.90±0.54
25	Food service	7: Hispanic	2,080	537,477	94.39	3.86	0.36	3.86±0.36
25	Food service	8: NonHispanic	16,017	4,032,710	93.37	3.29	0.12	3.29±0.12
26	Health service	1: Total	8,508	1,986,806	89.83	3.69	0.14	3.69±0.14
26	Health service	2: Male	820	207,785	90.59	3.10	0.41	3.10±0.41
26	Health service	3: Female	7,688	1,779,022	89.74	3.75	0.14	3.75±0.14
26	Health service	4: White	5,477	1,377,005	89.53	3.59	0.17	3.59±0.17
26	Health service	5: Black	2,721	529,021	90.25	4.11	0.24	4.11±0.24
26	Health service	6: Other	310	80,780	92.12	2.45	0.53	2.45±0.53
26	Health service	7: Hispanic	632	157,020	88.90	3.98	0.50	3.98±0.50
26	Health service	8: NonHispanic	7,876	1,829,786	89.91	3.66	0.14	3.66±0.14
27	Cleaning and building service	1: Total	11,852	2,836,111	92.91	3.92	0.16	3.92±0.16
27	Cleaning and building service	2: Male	6,748	1,666,580	94.36	4.14	0.26	4.14±0.26
27	Cleaning and building service	3: Female	5,104	1,169,530	90.85	3.72	0.18	3.72±0.18
27	Cleaning and building service	4: White	8,022	2,035,113	92.75	3.92	0.20	3.92±0.20
27	Cleaning and building service	5: Black	3,368	670,658	92.97	4.05	0.26	4.05±0.26
27	Cleaning and building service	6: Other	462	130,339	95.19	2.78	0.65	2.78±0.65
27	Cleaning and building service	7: Hispanic	1,583	397,872	94.48	3.94	0.54	3.94±0.54
27	Cleaning and building service	8: NonHispanic	10,269	2,438,238	92.66	3.91	0.17	3.91±0.17
28	Personal service	1: Total	9,494	2,356,169	94.24	3.53	0.18	3.53±0.18
28	Personal service	2: Male	1,639	426,790	95.15	3.89	0.44	3.89±0.44
28	Personal service	3: Female	7,855	1,929,380	94.04	3.46	0.19	3.46±0.19
28	Personal service	4: White	7,754	1,985,097	94.44	3.44	0.19	3.44±0.19
28	Personal service	5: Black	1,408	276,853	92.90	3.89	0.41	3.89±0.41
28	Personal service	6: Other	332	94,219	94.07	3.97	0.87	3.97±0.87
28	Personal service	7: Hispanic	730	185,720	93.43	3.21	0.59	3.21±0.59
28	Personal service	8: NonHispanic	8,764	2,170,450	94.31	3.56	0.19	3.56±0.19
29	Farm operators and managers	1: Total	5,843	1,399,369	96.21	5.62	0.34	5.62±0.34
29	Farm operators and managers	2: Male	4,849	1,168,400	96.33	6.02	0.42	6.02±0.42
29	Farm operators and managers	3: Female	994	230,968	95.57	3.91	0.53	3.91±0.53
29	Farm operators and managers	4: White	5,690	1,360,005	96.22	5.65	0.35	5.65±0.35
29	Farm operators and managers	5: Black	101	26,581	95.47	3.84	1.66	3.84±1.66
29	Farm operators and managers	6: Other	52	12,783	96.52	6.84	2.12	6.84±2.12
29	Farm operators and managers	7: Hispanic	166	42,237	96.40	5.42	1.55	5.42±1.55
29	Farm operators and managers	8: NonHispanic	5,677	1,357,132	96.20	5.62	0.36	5.62±0.36
30	Farm workers and other agricultural workers	1: Total	6,463	1,616,443	95.12	4.10	0.25	4.10±0.25
30	Farm workers and other agricultural workers	2: Male	5,271	1,322,851	95.32	4.08	0.28	4.08±0.28
30	Farm workers and other agricultural workers	3: Female	1,192	293,592	94.21	4.20	0.56	4.20±0.56
30	Farm workers and other agricultural workers	4: White	5,625	1,421,858	95.42	4.04	0.29	4.04±0.29
30	Farm workers and other agricultural workers	5: Black	698	158,075	92.44	3.77	0.45	3.77±0.45
30	Farm workers and other agricultural workers	6: Other	140	36,510	94.67	8.44	1.85	8.44±1.85
30	Farm workers and other agricultural workers	7: Hispanic	1,489	373,069	97.08	4.76	0.55	4.76±0.55
30	Farm workers and other agricultural workers	8: NonHispanic	4,974	1,243,374	94.53	4.00	0.27	4.00±0.27
31	Forestry and fishing occs	1: Total	736	199,857	94.82	4.73	0.80	4.73±0.80
31	Forestry and fishing occs	2: Male	704	191,542	94.94	4.78	0.85	4.78±0.85
31	Forestry and fishing occs	3: Female	32	8,315	92.07	4.01	2.46	4.01±2.46
31	Forestry and fishing occs	4: White	620	170,245	95.06	3.96	0.63	3.96±0.63
31	Forestry and fishing occs	5: Black	98	23,999	92.75	7.81	1.50	7.81±1.50
31	Forestry and fishing occs	6: Other	18	5,614	96.38	10.00	0.00	10.00±0.00
31	Forestry and fishing occs	7: Hispanic	25	6,092	100.00
31	Forestry and fishing occs	8: NonHispanic	711	193,766	94.66	4.73	0.80	4.73±0.80
32	Mechanics and repairers	1: Total	16,258	4,203,192	94.36	3.62	0.12	3.62±0.12
32	Mechanics and repairers	2: Male	15,585	4,037,571	94.48	3.58	0.12	3.58±0.12
32	Mechanics and repairers	3: Female	673	165,622	91.52	4.26	0.42	4.26±0.42
32	Mechanics and repairers	4: White	14,399	3,756,127	94.34	3.61	0.13	3.61±0.13
32	Mechanics and repairers	5: Black	1,459	334,805	94.37	3.47	0.39	3.47±0.39
32	Mechanics and repairers	6: Other	400	112,260	94.91	4.59	0.94	4.59±0.94
32	Mechanics and repairers	7: Hispanic	1,190	312,662	94.15	3.69	0.41	3.69±0.41
32	Mechanics and repairers	8: NonHispanic	15,068	3,890,530	94.38	3.62	0.12	3.62±0.12
33	Construction and extractive trades	1: Total	19,111	4,960,923	94.44	4.22	0.14	4.22±0.14
33	Construction and extractive trades	2: Male	18,665	4,852,370	94.48	4.21	0.15	4.21±0.15
33	Construction and extractive trades	3: Female	446	108,553	92.68	4.49	0.73	4.49±0.73
33	Construction and extractive trades	4: White	17,140	4,502,359	94.42	4.09	0.14	4.09±0.14
33	Construction and extractive trades	5: Black	1,589	350,909	94.87	5.75	0.52	5.75±0.52
33	Construction and extractive trades	6: Other	382	107,655	93.93	4.94	0.87	4.94±0.87
33	Construction and extractive trades	7: Hispanic	1,717	451,211	95.05	4.46	0.45	4.46±0.45
33	Construction and extractive trades	8: NonHispanic	17,394	4,509,712	94.38	4.19	0.14	4.19±0.14
34	Precision production occs	1: Total	14,874	3,766,588	94.22	3.88	0.13	3.88±0.13
34	Precision production occs	2: Male	11,282	2,894,734	94.70	3.85	0.17	3.85±0.17
34	Precision production occs	3: Female	3,592	871,854	92.63	3.95	0.28	3.95±0.28
34	Precision production occs	4: White	12,844	3,299,504	94.37	3.85	0.14	3.85±0.14
34	Precision production occs	5: Black	1,435	310,343	92.42	4.34	0.50	4.34±0.50
34	Precision production occs	6: Other	595	156,740	94.65	3.22	0.60	3.22±0.60
34	Precision production occs	7: Hispanic	1,326	343,542	94.89	4.18	0.56	4.18±0.56
34	Precision production occs	8: NonHispanic	13,548	3,423,046	94.16	3.86	0.14	3.86±0.14
35	Machine operators/tenderers, except precision	1: Total	21,002	5,221,401	93.37	4.11	0.11	4.11±0.11
35	Machine operators/tenderers, except precision	2: Male	12,267	3,134,398	94.14	4.16	0.16	4.16±0.16
35	Machine operators/tenderers, except precision	3: Female	8,735	2,087,003	92.22	4.07	0.16	4.07±0.16
35	Machine operators/tenderers, except precision	4: White	16,448	4,210,362	93.24	4.01	0.12	4.01±0.12
35	Machine operators/tenderers, except precision	5: Black	3,729	794,809	93.55	4.70	0.31	4.70±0.31
35	Machine operators/tenderers, except precision	6: Other	825	216,230	95.25	4.15	0.67	4.15±0.67
35	Machine operators/tenderers, except precision	7: Hispanic	2,637	660,521	94.90	4.36	0.29	4.36±0.29
35	Machine operators/tenderers, except precision	8: NonHispanic	18,365	4,560,880	93.15	4.09	0.12	4.09±0.12
36	Fabricators, assemblers, inspectors, samplers	1: Total	10,312	2,566,964	92.25	3.97	0.16	3.97±0.16
36	Fabricators, assemblers, inspectors, samplers	2: Male	6,209	1,581,326	93.18	3.73	0.21	3.73±0.21
36	Fabricators, assemblers, inspectors, samplers	3: Female	4,103	985,638	90.76	4.25	0.24	4.25±0.24
36	Fabricators, assemblers, inspectors, samplers	4: White	8,334	2,118,235	92.44	3.78	0.17	3.78±0.17
36	Fabricators, assemblers, inspectors, samplers	5: Black	1,541	336,777	90.49	4.80	0.41	4.80±0.41
36	Fabricators, assemblers, inspectors, samplers	6: Other	437	111,951	94.08	4.35	0.81	4.35±0.81
36	Fabricators, assemblers, inspectors, samplers	7: Hispanic	1,197	298,407	94.63	4.25	0.51	4.25±0.51
36	Fabricators, assemblers, inspectors, samplers	8: NonHispanic	9,115	2,268,557	91.94	3.94	0.17	3.94±0.17
37	Motor vehicle operators	1: Total	14,053	3,529,824	94.45	4.86	0.16	4.86±0.16
37	Motor vehicle operators	2: Male	12,448	3,147,698	94.83	4.85	0.19	4.85±0.19
37	Motor vehicle operators	3: Female	1,605	382,126	91.36	4.89	0.36	4.89±0.36
37	Motor vehicle operators	4: White	11,318	2,907,359	94.64	4.86	0.18	4.86±0.18
37	Motor vehicle operators	5: Black	2,421	536,222	93.25	4.79	0.35	4.79±0.35
37	Motor vehicle operators	6: Other	314	86,243	95.63	5.52	1.02	5.52±1.02
37	Motor vehicle operators	7: Hispanic	1,051	276,992	93.76	4.17	0.57	4.17±0.57
37	Motor vehicle operators	8: NonHispanic	13,002	3,252,832	94.51	4.93	0.17	4.93±0.17
38	Other transportation, except motor vehicles	1: Total	668	176,360	93.94	7.37	0.83	7.37±0.83
38	Other transportation, except motor vehicles	2: Male	645	170,736	93.86	7.49	0.86	7.49±0.86
38	Other transportation, except motor vehicles	3: Female	23	5,625	96.40	1.00	0.00	1.00±0.00
38	Other transportation, except motor vehicles	4: White	598	160,282	93.48	7.49	0.84	7.49±0.84
38	Other transportation, except motor vehicles	5: Black	63	13,492	98.26	2.00	0.00	2.00±0.00
38	Other transportation, except motor vehicles	6: Other	7	2,587	100.00
38	Other transportation, except motor vehicles	7: Hispanic	21	6,341	100.00
38	Other transportation, except motor vehicles	8: NonHispanic	647	170,020	93.72	7.37	0.83	7.37±0.83
39	Material moving equipment operators	1: Total	4,326	1,094,233	93.92	4.61	0.28	4.61±0.28
39	Material moving equipment operators	2: Male	4,084	1,035,934	94.05	4.60	0.28	4.60±0.28
39	Material moving equipment operators	3: Female	242	58,299	91.67	4.87	1.00	4.87±1.00
39	Material moving equipment operators	4: White	3,575	919,315	93.90	4.50	0.28	4.50±0.28
39	Material moving equipment operators	5: Black	663	152,242	94.00	5.51	1.03	5.51±1.03
39	Material moving equipment operators	6: Other	88	22,676	94.06	3.38	1.85	3.38±1.85
39	Material moving equipment operators	7: Hispanic	352	88,147	93.49	5.69	0.94	5.69±0.94
39	Material moving equipment operators	8: NonHispanic	3,974	1,006,086	93.96	4.51	0.28	4.51±0.28
40	Construction laborers	1: Total	2,707	697,191	94.55	5.10	0.43	5.10±0.43
40	Construction laborers	2: Male	2,625	676,315	94.65	5.20	0.45	5.20±0.45
40	Construction laborers	3: Female	82	20,877	91.22	3.15	0.59	3.15±0.59
40	Construction laborers	4: White	2,216	585,900	94.59	5.23	0.49	5.23±0.49
40	Construction laborers	5: Black	440	97,045	94.21	4.94	0.91	4.94±0.91
40	Construction laborers	6: Other	51	14,246	95.01	1.00	0.00	1.00±0.00
40	Construction laborers	7: Hispanic	427	111,458	97.01	5.20	1.24	5.20±1.24
40	Construction laborers	8: NonHispanic	2,280	585,733	94.08	5.09	0.44	5.09±0.44
41	Freight, stock, material handlers	1: Total	13,517	3,410,507	93.64	3.99	0.14	3.99±0.14
41	Freight, stock, material handlers	2: Male	10,246	2,627,018	94.04	3.91	0.17	3.91±0.17
41	Freight, stock, material handlers	3: Female	3,271	783,489	92.27	4.20	0.25	4.20±0.25
41	Freight, stock, material handlers	4: White	10,550	2,733,823	93.62	3.92	0.16	3.92±0.16
41	Freight, stock, material handlers	5: Black	2,561	564,450	93.59	4.27	0.35	4.27±0.35
41	Freight, stock, material handlers	6: Other	406	112,233	94.13	4.20	0.84	4.20±0.84
41	Freight, stock, material handlers	7: Hispanic	1,469	379,154	93.97	4.02	0.42	4.02±0.42
41	Freight, stock, material handlers	8: NonHispanic	12,048	3,031,353	93.59	3.99	0.14	3.99±0.14