Table 4. Average Number of Restricted Days (≥ 1) in the past 2 weeks by 41 Occupations
					Acute Disability
	Occupation 41 Classes	Group	Sample Size	Population Estimates	Estimated Prevalence of 0 restricted days in prior 2 weeks	Average # days among participants having at least 1 restricted day in prior 2 weeks	Standard Error of average # restricted days	X+SE
1	Officials and administrators public admin	1: Total	2,157	542,174	91.38	3.65	0.33	3.65±0.33
1	Officials and administrators public admin	2: Male	1,212	315,909	93.29	4.60	0.54	4.60±0.54
1	Officials and administrators public admin	3: Female	945	226,264	88.72	2.86	0.32	2.86±0.32
1	Officials and administrators public admin	4: White	1,861	472,920	91.18	3.73	0.36	3.73±0.36
1	Officials and administrators public admin	5: Black	225	49,487	92.43	3.33	0.96	3.33±0.96
1	Officials and administrators public admin	6: Other	71	19,766	93.41	2.18	0.36	2.18±0.36
1	Officials and administrators public admin	7: Hispanic	92	23,438	87.83	5.53	1.78	5.53±1.78
1	Officials and administrators public admin	8: NonHispanic	2,065	518,736	91.54	3.53	0.29	3.53±0.29
2	Managers administrators, except public administration	1: Total	44,320	11,337,987	92.53	4.44	0.09	4.44±0.09
2	Managers administrators, except public administration	2: Male	27,924	7,260,207	93.89	4.46	0.11	4.46±0.11
2	Managers administrators, except public administration	3: Female	16,396	4,077,780	90.12	4.42	0.12	4.42±0.12
2	Managers administrators, except public administration	4: White	40,233	10,358,556	92.48	4.41	0.09	4.41±0.09
2	Managers administrators, except public administration	5: Black	2,760	630,687	92.65	4.94	0.33	4.94±0.33
2	Managers administrators, except public administration	6: Other	1,327	348,745	93.86	4.57	0.56	4.57±0.56
2	Managers administrators, except public administration	7: Hispanic	2,061	537,742	92.46	4.58	0.38	4.58±0.38
2	Managers administrators, except public administration	8: NonHispanic	42,259	10,800,245	92.54	4.43	0.09	4.43±0.09
3	Management related occs	1: Total	15,574	3,975,190	91.25	4.07	0.13	4.07±0.13
3	Management related occs	2: Male	7,267	1,909,843	93.10	3.93	0.21	3.93±0.21
3	Management related occs	3: Female	8,307	2,065,347	89.53	4.15	0.17	4.15±0.17
3	Management related occs	4: White	13,613	3,508,911	91.15	4.01	0.13	4.01±0.13
3	Management related occs	5: Black	1,342	302,468	91.59	4.98	0.44	4.98±0.44
3	Management related occs	6: Other	619	163,811	92.68	3.59	0.47	3.59±0.47
3	Management related occs	7: Hispanic	795	208,368	90.48	4.35	0.62	4.35±0.62
3	Management related occs	8: NonHispanic	14,779	3,766,822	91.29	4.05	0.14	4.05±0.14
4	Engineers	1: Total	7,700	2,009,300	93.16	3.93	0.20	3.93±0.20
4	Engineers	2: Male	7,054	1,848,533	93.53	3.86	0.21	3.86±0.21
4	Engineers	3: Female	646	160,767	88.88	4.39	0.63	4.39±0.63
4	Engineers	4: White	6,831	1,780,112	93.04	3.79	0.20	3.79±0.20
4	Engineers	5: Black	324	85,626	92.58	7.84	0.88	7.84±0.88
4	Engineers	6: Other	545	143,563	94.95	2.86	0.50	2.86±0.50
4	Engineers	7: Hispanic	272	72,090	94.37	5.06	1.22	5.06±1.22
4	Engineers	8: NonHispanic	7,428	1,937,210	93.11	3.89	0.19	3.89±0.19
5	Architects and surveyors	1: Total	778	201,731	91.22	4.19	0.54	4.19±0.54
5	Architects and surveyors	2: Male	678	177,084	92.20	4.55	0.65	4.55±0.65
5	Architects and surveyors	3: Female	100	24,647	84.20	2.90	0.63	2.90±0.63
5	Architects and surveyors	4: White	717	186,076	91.71	4.17	0.57	4.17±0.57
5	Architects and surveyors	5: Black	27	7,204	93.48	10.03	3.90	10.03±3.90
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	95.34	2.82	1.03	2.82±1.03
5	Architects and surveyors	8: NonHispanic	723	187,748	90.91	4.24	0.56	4.24±0.56
6	Natural mathematical/computer scientists	1: Total	5,115	1,330,325	90.62	3.50	0.18	3.50±0.18
6	Natural mathematical/computer scientists	2: Male	3,433	907,823	91.88	3.56	0.26	3.56±0.26
6	Natural mathematical/computer scientists	3: Female	1,682	422,502	87.91	3.40	0.22	3.40±0.22
6	Natural mathematical/computer scientists	4: White	4,421	1,154,319	90.64	3.46	0.20	3.46±0.20
6	Natural mathematical/computer scientists	5: Black	342	84,541	88.94	3.52	0.49	3.52±0.49
6	Natural mathematical/computer scientists	6: Other	352	91,465	91.86	4.03	0.72	4.03±0.72
6	Natural mathematical/computer scientists	7: Hispanic	182	48,104	88.13	3.69	0.86	3.69±0.86
6	Natural mathematical/computer scientists	8: NonHispanic	4,933	1,282,221	90.71	3.49	0.18	3.49±0.18
7	Health diagnosing occs	1: Total	3,249	829,443	94.91	4.14	0.34	4.14±0.34
7	Health diagnosing occs	2: Male	2,598	668,142	95.72	4.32	0.50	4.32±0.50
7	Health diagnosing occs	3: Female	651	161,301	91.52	3.76	0.56	3.76±0.56
7	Health diagnosing occs	4: White	2,839	724,399	94.70	4.12	0.36	4.12±0.36
7	Health diagnosing occs	5: Black	130	31,964	93.56	3.90	1.55	3.90±1.55
7	Health diagnosing occs	6: Other	280	73,080	97.51	4.80	1.85	4.80±1.85
7	Health diagnosing occs	7: Hispanic	153	41,633	91.35	4.15	1.10	4.15±1.10
7	Health diagnosing occs	8: NonHispanic	3,096	787,809	95.10	4.14	0.36	4.14±0.36
8	Health assessment/treating occs	1: Total	9,988	2,482,299	89.56	4.29	0.15	4.29±0.15
8	Health assessment/treating occs	2: Male	1,217	316,435	90.35	4.10	0.48	4.10±0.48
8	Health assessment/treating occs	3: Female	8,771	2,165,864	89.45	4.31	0.15	4.31±0.15
8	Health assessment/treating occs	4: White	8,445	2,133,040	89.54	4.21	0.15	4.21±0.15
8	Health assessment/treating occs	5: Black	1,078	230,708	88.24	5.15	0.47	5.15±0.47
8	Health assessment/treating occs	6: Other	465	118,550	92.54	3.61	0.53	3.61±0.53
8	Health assessment/treating occs	7: Hispanic	336	86,259	90.25	3.79	0.55	3.79±0.55
8	Health assessment/treating occs	8: NonHispanic	9,652	2,396,040	89.54	4.31	0.15	4.31±0.15
9	Teachers, librarians, counselors	1: Total	20,938	5,231,152	90.60	3.95	0.09	3.95±0.09
9	Teachers, librarians, counselors	2: Male	6,340	1,642,027	92.65	3.79	0.20	3.79±0.20
9	Teachers, librarians, counselors	3: Female	14,598	3,589,125	89.66	4.00	0.11	4.00±0.11
9	Teachers, librarians, counselors	4: White	18,208	4,612,706	90.49	3.88	0.10	3.88±0.10
9	Teachers, librarians, counselors	5: Black	2,136	452,612	91.30	4.64	0.39	4.64±0.39
9	Teachers, librarians, counselors	6: Other	594	165,834	91.78	4.11	0.50	4.11±0.50
9	Teachers, librarians, counselors	7: Hispanic	828	217,139	89.95	4.46	0.57	4.46±0.57
9	Teachers, librarians, counselors	8: NonHispanic	20,110	5,014,013	90.63	3.92	0.10	3.92±0.10
10	Writers, artists, entertainers, athletes	1: Total	7,538	1,971,725	90.22	4.18	0.14	4.18±0.14
10	Writers, artists, entertainers, athletes	2: Male	3,828	1,025,232	91.46	4.16	0.22	4.16±0.22
10	Writers, artists, entertainers, athletes	3: Female	3,710	946,492	88.88	4.19	0.20	4.19±0.20
10	Writers, artists, entertainers, athletes	4: White	6,879	1,799,120	90.22	4.20	0.15	4.20±0.15
10	Writers, artists, entertainers, athletes	5: Black	411	103,027	88.47	4.17	0.73	4.17±0.73
10	Writers, artists, entertainers, athletes	6: Other	248	69,577	92.83	3.21	0.75	3.21±0.75
10	Writers, artists, entertainers, athletes	7: Hispanic	359	93,668	92.43	5.00	0.83	5.00±0.83
10	Writers, artists, entertainers, athletes	8: NonHispanic	7,179	1,878,056	90.11	4.15	0.14	4.14±0.14
11	Other professional specialty occs	1: Total	8,822	2,227,360	90.77	4.24	0.15	4.24±0.15
11	Other professional specialty occs	2: Male	5,145	1,332,391	92.77	4.24	0.24	4.24±0.24
11	Other professional specialty occs	3: Female	3,677	894,969	87.79	4.24	0.22	4.24±0.22
11	Other professional specialty occs	4: White	7,627	1,952,622	90.88	4.09	0.16	4.09±0.16
11	Other professional specialty occs	5: Black	1,009	225,915	89.68	5.46	0.54	5.46±0.54
11	Other professional specialty occs	6: Other	186	48,823	91.18	3.94	1.39	3.94±1.39
11	Other professional specialty occs	7: Hispanic	388	98,301	87.59	3.59	0.54	3.59±0.54
11	Other professional specialty occs	8: NonHispanic	8,434	2,129,060	90.92	4.28	0.16	4.28±0.16
12	Health technologists/technicians	1: Total	5,558	1,357,639	89.19	4.64	0.22	4.64±0.22
12	Health technologists/technicians	2: Male	922	247,624	91.37	4.46	0.60	4.46±0.60
12	Health technologists/technicians	3: Female	4,636	1,110,015	88.71	4.67	0.22	4.67±0.22
12	Health technologists/technicians	4: White	4,331	1,091,114	89.01	4.65	0.23	4.65±0.23
12	Health technologists/technicians	5: Black	980	198,689	90.05	5.09	0.56	5.09±0.56
12	Health technologists/technicians	6: Other	247	67,836	89.60	3.28	0.83	3.28±0.83
12	Health technologists/technicians	7: Hispanic	345	89,019	90.80	3.48	0.57	3.48±0.57
12	Health technologists/technicians	8: NonHispanic	5,213	1,268,620	89.08	4.71	0.23	4.71±0.23
13	Technologists, technicians except health	1: Total	10,198	2,658,590	90.97	3.87	0.12	3.87±0.12
13	Technologists, technicians except health	2: Male	6,926	1,830,242	92.00	3.72	0.16	3.72±0.16
13	Technologists, technicians except health	3: Female	3,272	828,348	88.71	4.12	0.19	4.12±0.19
13	Technologists, technicians except health	4: White	8,778	2,305,125	90.79	3.84	0.13	3.84±0.13
13	Technologists, technicians except health	5: Black	816	191,172	91.68	4.68	0.66	4.68±0.66
13	Technologists, technicians except health	6: Other	604	162,293	92.65	3.32	0.42	3.32±0.42
13	Technologists, technicians except health	7: Hispanic	549	146,493	93.00	4.87	0.74	4.87±0.74
13	Technologists, technicians except health	8: NonHispanic	9,649	2,512,097	90.85	3.83	0.12	3.83±0.12
14	Supervisors and proprietors	1: Total	13,986	3,596,023	93.15	4.46	0.14	4.46±0.14
14	Supervisors and proprietors	2: Male	8,835	2,315,820	94.12	4.63	0.21	4.63±0.21
14	Supervisors and proprietors	3: Female	5,151	1,280,203	91.39	4.25	0.22	4.25±0.22
14	Supervisors and proprietors	4: White	12,793	3,297,445	93.09	4.39	0.15	4.39±0.15
14	Supervisors and proprietors	5: Black	706	169,165	92.80	5.41	0.75	5.41±0.75
14	Supervisors and proprietors	6: Other	487	129,414	95.20	5.24	0.90	5.24±0.90
14	Supervisors and proprietors	7: Hispanic	751	197,592	92.89	4.29	0.73	4.29±0.73
14	Supervisors and proprietors	8: NonHispanic	13,235	3,398,432	93.16	4.47	0.15	4.47±0.15
15	Sales representatives, commodities and finance	1: Total	13,918	3,603,720	92.22	4.48	0.15	4.48±0.15
15	Sales representatives, commodities and finance	2: Male	9,127	2,395,527	93.30	4.28	0.19	4.28±0.19
15	Sales representatives, commodities and finance	3: Female	4,791	1,208,194	90.09	4.75	0.21	4.75±0.21
15	Sales representatives, commodities and finance	4: White	12,985	3,373,892	92.14	4.49	0.14	4.49±0.14
15	Sales representatives, commodities and finance	5: Black	628	145,970	92.31	4.24	0.66	4.24±0.66
15	Sales representatives, commodities and finance	6: Other	305	83,858	95.57	4.35	1.17	4.35±1.17
15	Sales representatives, commodities and finance	7: Hispanic	603	155,619	90.21	3.62	0.50	3.62±0.50
15	Sales representatives, commodities and finance	8: NonHispanic	13,315	3,448,101	92.31	4.53	0.15	4.53±0.15
16	Other sales	1: Total	23,168	5,892,896	91.09	4.54	0.10	4.54±0.10
16	Other sales	2: Male	7,668	2,016,522	92.83	4.59	0.23	4.59±0.23
16	Other sales	3: Female	15,500	3,876,373	90.18	4.52	0.12	4.52±0.12
16	Other sales	4: White	19,679	5,079,311	90.98	4.47	0.11	4.47±0.11
16	Other sales	5: Black	2,619	574,014	90.79	5.05	0.31	5.05±0.31
16	Other sales	6: Other	870	239,570	94.18	4.91	0.88	4.91±0.88
16	Other sales	7: Hispanic	1,770	453,580	90.73	4.31	0.29	4.31±0.29
16	Other sales	8: NonHispanic	21,398	5,439,315	91.12	4.56	0.11	4.56±0.11
17	Computer equipment operators	1: Total	2,669	670,109	90.18	3.98	0.29	3.98±0.29
17	Computer equipment operators	2: Male	898	239,795	91.15	3.76	0.46	3.76±0.46
17	Computer equipment operators	3: Female	1,771	430,315	89.64	4.08	0.36	4.08±0.36
17	Computer equipment operators	4: White	2,134	551,272	90.43	3.90	0.32	3.90±0.32
17	Computer equipment operators	5: Black	443	94,249	88.74	4.45	0.78	4.45±0.78
17	Computer equipment operators	6: Other	92	24,588	90.09	3.55	0.74	3.55±0.74
17	Computer equipment operators	7: Hispanic	159	42,368	93.98	2.71	1.34	2.71±1.34
17	Computer equipment operators	8: NonHispanic	2,510	627,741	89.92	4.03	0.29	4.03±0.29
18	Secretaries, stenographers and typists	1: Total	17,666	4,413,986	89.91	4.05	0.11	4.05±0.11
18	Secretaries, stenographers and typists	2: Male	318	82,392	92.22	3.02	0.51	3.02±0.51
18	Secretaries, stenographers and typists	3: Female	17,348	4,331,594	89.86	4.07	0.11	4.07±0.11
18	Secretaries, stenographers and typists	4: White	15,405	3,926,331	90.04	4.04	0.12	4.04±0.12
18	Secretaries, stenographers and typists	5: Black	1,888	383,375	88.40	4.30	0.25	4.30±0.25
18	Secretaries, stenographers and typists	6: Other	373	104,279	90.40	3.24	0.54	3.24±0.54
18	Secretaries, stenographers and typists	7: Hispanic	1,053	268,104	91.83	3.98	0.41	3.98±0.41
18	Secretaries, stenographers and typists	8: NonHispanic	16,613	4,145,882	89.78	4.06	0.11	4.06±0.11
19	Financial records processing occs	1: Total	8,945	2,245,512	91.12	4.54	0.18	4.54±0.18
19	Financial records processing occs	2: Male	828	220,612	90.70	5.14	0.66	5.14±0.66
19	Financial records processing occs	3: Female	8,117	2,024,900	91.16	4.47	0.18	4.47±0.18
19	Financial records processing occs	4: White	7,968	2,018,647	91.00	4.51	0.19	4.51±0.19
19	Financial records processing occs	5: Black	664	141,277	91.18	4.98	0.63	4.98±0.63
19	Financial records processing occs	6: Other	313	85,588	93.70	4.41	1.03	4.41±1.03
19	Financial records processing occs	7: Hispanic	471	118,397	89.26	3.44	0.48	3.44±0.48
19	Financial records processing occs	8: NonHispanic	8,474	2,127,115	91.22	4.61	0.19	4.61±0.19
20	Mail and message distributing	1: Total	3,735	914,844	89.51	5.01	0.26	5.01±0.26
20	Mail and message distributing	2: Male	2,307	583,219	90.50	5.12	0.32	5.12±0.32
20	Mail and message distributing	3: Female	1,428	331,625	87.78	4.86	0.38	4.86±0.38
20	Mail and message distributing	4: White	2,729	694,766	89.75	5.09	0.30	5.09±0.30
20	Mail and message distributing	5: Black	850	178,086	89.67	4.75	0.57	4.75±0.57
20	Mail and message distributing	6: Other	156	41,992	84.98	4.81	0.76	4.81±0.76
20	Mail and message distributing	7: Hispanic	280	72,808	84.33	4.30	0.67	4.30±0.67
20	Mail and message distributing	8: NonHispanic	3,455	842,036	89.96	5.10	0.29	5.10±0.29
21	Other administrative support	1: Total	37,119	9,296,535	90.23	4.25	0.08	4.25±0.08
21	Other administrative support	2: Male	9,841	2,592,119	92.18	4.29	0.18	4.29±0.18
21	Other administrative support	3: Female	27,278	6,704,416	89.48	4.24	0.09	4.24±0.09
21	Other administrative support	4: White	30,337	7,787,826	90.16	4.20	0.09	4.20±0.09
21	Other administrative support	5: Black	5,555	1,176,476	90.50	4.66	0.19	4.66±0.19
21	Other administrative support	6: Other	1,227	332,234	90.92	4.13	0.43	4.13±0.43
21	Other administrative support	7: Hispanic	2,857	733,149	89.87	4.40	0.27	4.40±0.27
21	Other administrative support	8: NonHispanic	34,262	8,563,386	90.26	4.24	0.08	4.24±0.08
22	Private household occs	1: Total	3,324	761,954	90.69	5.46	0.29	5.46±0.29
22	Private household occs	2: Male	144	36,030	94.04	7.29	2.21	7.29±2.21
22	Private household occs	3: Female	3,180	725,924	90.52	5.40	0.29	5.40±0.29
22	Private household occs	4: White	2,092	525,115	91.04	5.17	0.35	5.17±0.35
22	Private household occs	5: Black	1,155	215,855	89.75	6.36	0.48	6.36±0.48
22	Private household occs	6: Other	77	20,984	91.53	1.87	0.46	1.87±0.46
22	Private household occs	7: Hispanic	522	128,949	94.98	4.80	0.89	4.80±0.89
22	Private household occs	8: NonHispanic	2,802	633,005	89.81	5.52	0.33	5.52±0.33
23	Police and firefighters	1: Total	4,471	1,157,796	90.18	4.93	0.25	4.93±0.25
23	Police and firefighters	2: Male	3,899	1,021,431	90.61	4.94	0.26	4.94±0.26
23	Police and firefighters	3: Female	572	136,365	86.92	4.92	0.53	4.92±0.53
23	Police and firefighters	4: White	3,722	973,160	90.11	4.78	0.25	4.78±0.25
23	Police and firefighters	5: Black	675	163,151	90.28	5.99	0.72	5.99±0.72
23	Police and firefighters	6: Other	74	21,485	92.49	3.79	1.50	3.79±1.50
23	Police and firefighters	7: Hispanic	281	74,433	92.19	5.29	0.94	5.29±0.94
23	Police and firefighters	8: NonHispanic	4,190	1,083,362	90.04	4.91	0.24	4.91±0.24
24	Other protective service occs	1: Total	3,140	793,111	92.22	5.28	0.33	5.28±0.33
24	Other protective service occs	2: Male	2,488	638,415	92.98	5.29	0.40	5.29±0.40
24	Other protective service occs	3: Female	652	154,696	89.09	5.25	0.59	5.25±0.59
24	Other protective service occs	4: White	2,251	596,080	92.10	5.34	0.37	5.34±0.37
24	Other protective service occs	5: Black	794	172,579	92.27	5.06	0.73	5.06±0.73
24	Other protective service occs	6: Other	95	24,452	94.63	5.46	1.95	5.46±1.95
24	Other protective service occs	7: Hispanic	224	57,736	95.54	3.89	1.02	3.89±1.02
24	Other protective service occs	8: NonHispanic	2,916	735,375	91.96	5.34	0.35	5.34±0.35
25	Food service	1: Total	18,097	4,570,186	90.56	4.62	0.12	4.62±0.12
25	Food service	2: Male	6,577	1,734,081	92.76	4.33	0.21	4.33±0.21
25	Food service	3: Female	11,520	2,836,105	89.22	4.73	0.15	4.73±0.15
25	Food service	4: White	14,187	3,677,566	90.16	4.68	0.12	4.68±0.12
25	Food service	5: Black	2,870	604,271	92.00	4.42	0.31	4.42±0.31
25	Food service	6: Other	1,040	288,349	92.67	3.94	0.53	3.94±0.53
25	Food service	7: Hispanic	2,080	537,477	92.23	4.97	0.40	4.97±0.40
25	Food service	8: NonHispanic	16,017	4,032,710	90.34	4.58	0.13	4.58±0.13
26	Health service	1: Total	8,508	1,986,806	86.85	4.83	0.15	4.83±0.15
26	Health service	2: Male	820	207,785	87.10	4.15	0.45	4.15±0.45
26	Health service	3: Female	7,688	1,779,022	86.83	4.91	0.16	4.91±0.16
26	Health service	4: White	5,477	1,377,005	86.45	4.73	0.20	4.73±0.20
26	Health service	5: Black	2,721	529,021	87.40	5.25	0.26	5.25±0.26
26	Health service	6: Other	310	80,780	90.11	3.69	0.80	3.69±0.80
26	Health service	7: Hispanic	632	157,020	87.67	4.78	0.52	4.78±0.52
26	Health service	8: NonHispanic	7,876	1,829,786	86.78	4.84	0.16	4.84±0.16
27	Cleaning and building service	1: Total	11,852	2,836,111	90.33	5.07	0.16	5.07±0.16
27	Cleaning and building service	2: Male	6,748	1,666,580	92.04	5.03	0.23	5.03±0.23
27	Cleaning and building service	3: Female	5,104	1,169,530	87.91	5.11	0.24	5.11±0.24
27	Cleaning and building service	4: White	8,022	2,035,113	89.89	5.04	0.20	5.04±0.20
27	Cleaning and building service	5: Black	3,368	670,658	91.22	5.26	0.35	5.26±0.35
27	Cleaning and building service	6: Other	462	130,339	92.72	4.65	0.79	4.65±0.79
27	Cleaning and building service	7: Hispanic	1,583	397,872	92.18	4.96	0.49	4.96±0.49
27	Cleaning and building service	8: NonHispanic	10,269	2,438,238	90.03	5.08	0.17	5.08±0.17
28	Personal service	1: Total	9,494	2,356,169	90.46	4.67	0.14	4.67±0.14
28	Personal service	2: Male	1,639	426,790	92.38	5.05	0.40	5.05±0.40
28	Personal service	3: Female	7,855	1,929,380	90.04	4.61	0.15	4.61±0.15
28	Personal service	4: White	7,754	1,985,097	90.68	4.55	0.17	4.55±0.17
28	Personal service	5: Black	1,408	276,853	89.62	5.65	0.35	5.65±0.35
28	Personal service	6: Other	332	94,219	88.31	4.21	0.45	4.21±0.45
28	Personal service	7: Hispanic	730	185,720	89.93	4.35	0.48	4.35±0.48
28	Personal service	8: NonHispanic	8,764	2,170,450	90.51	4.70	0.15	4.70±0.15
29	Farm operators and managers	1: Total	5,843	1,399,369	93.64	6.29	0.28	6.29±0.28
29	Farm operators and managers	2: Male	4,849	1,168,400	93.88	6.45	0.30	6.45±0.30
29	Farm operators and managers	3: Female	994	230,968	92.42	5.61	0.56	5.61±0.56
29	Farm operators and managers	4: White	5,690	1,360,005	93.71	6.33	0.29	6.33±0.29
29	Farm operators and managers	5: Black	101	26,581	92.53	4.35	1.19	4.35±1.19
29	Farm operators and managers	6: Other	52	12,783	87.93	6.37	1.96	6.37±1.96
29	Farm operators and managers	7: Hispanic	166	42,237	93.78	6.58	1.31	6.58±1.31
29	Farm operators and managers	8: NonHispanic	5,677	1,357,132	93.63	6.28	0.29	6.28±0.29
30	Farm workers and other agricultural workers	1: Total	6,463	1,616,443	93.42	5.32	0.24	5.32±0.24
30	Farm workers and other agricultural workers	2: Male	5,271	1,322,851	93.74	5.24	0.28	5.24±0.28
30	Farm workers and other agricultural workers	3: Female	1,192	293,592	91.98	5.59	0.56	5.59±0.56
30	Farm workers and other agricultural workers	4: White	5,625	1,421,858	93.69	5.13	0.27	5.13±0.27
30	Farm workers and other agricultural workers	5: Black	698	158,075	91.22	5.55	0.62	5.55±0.62
30	Farm workers and other agricultural workers	6: Other	140	36,510	92.30	10.01	1.64	10.01±1.64
30	Farm workers and other agricultural workers	7: Hispanic	1,489	373,069	96.40	5.33	0.54	5.33±0.54
30	Farm workers and other agricultural workers	8: NonHispanic	4,974	1,243,374	92.53	5.31	0.27	5.31±0.27
31	Forestry and fishing occs	1: Total	736	199,857	92.88	5.88	0.67	5.88±0.67
31	Forestry and fishing occs	2: Male	704	191,542	93.16	5.82	0.71	5.82±0.71
31	Forestry and fishing occs	3: Female	32	8,315	86.34	6.58	2.46	6.58±2.46
31	Forestry and fishing occs	4: White	620	170,245	92.90	5.47	0.69	5.47±0.69
31	Forestry and fishing occs	5: Black	98	23,999	91.92	7.62	0.96	7.62±0.96
31	Forestry and fishing occs	6: Other	18	5,614	96.38	14.00	0.00	14.00±0.00
31	Forestry and fishing occs	7: Hispanic	25	6,092	100.00	.	.	.±.
31	Forestry and fishing occs	8: NonHispanic	711	193,766	92.65	5.88	0.67	5.88±0.67
32	Mechanics and repairers	1: Total	16,258	4,203,192	92.05	4.76	0.13	4.76±0.13
32	Mechanics and repairers	2: Male	15,585	4,037,571	92.21	4.69	0.12	4.69±0.12
32	Mechanics and repairers	3: Female	673	165,622	88.02	5.93	0.56	5.93±0.56
32	Mechanics and repairers	4: White	14,399	3,756,127	91.97	4.77	0.14	4.77±0.14
32	Mechanics and repairers	5: Black	1,459	334,805	92.50	4.53	0.45	4.53±0.45
32	Mechanics and repairers	6: Other	400	112,260	93.38	5.29	0.88	5.29±0.88
32	Mechanics and repairers	7: Hispanic	1,190	312,662	92.28	4.61	0.52	4.61±0.52
32	Mechanics and repairers	8: NonHispanic	15,068	3,890,530	92.03	4.78	0.12	4.78±0.12
33	Construction and extractive trades	1: Total	19,111	4,960,923	92.42	5.17	0.14	5.17±0.14
33	Construction and extractive trades	2: Male	18,665	4,852,370	92.50	5.14	0.14	5.14±0.14
33	Construction and extractive trades	3: Female	446	108,553	88.75	5.93	0.87	5.93±0.87
33	Construction and extractive trades	4: White	17,140	4,502,359	92.32	5.07	0.14	5.07±0.14
33	Construction and extractive trades	5: Black	1,589	350,909	93.61	6.28	0.47	6.28±0.47
33	Construction and extractive trades	6: Other	382	107,655	92.55	6.34	0.91	6.34±0.91
33	Construction and extractive trades	7: Hispanic	1,717	451,211	93.61	5.17	0.50	5.17±0.50
33	Construction and extractive trades	8: NonHispanic	17,394	4,509,712	92.30	5.17	0.14	5.17±0.14
34	Precision production occs	1: Total	14,874	3,766,588	92.10	5.03	0.15	5.03±0.15
34	Precision production occs	2: Male	11,282	2,894,734	92.66	5.04	0.18	5.04±0.18
34	Precision production occs	3: Female	3,592	871,854	90.23	5.01	0.29	5.01±0.29
34	Precision production occs	4: White	12,844	3,299,504	92.18	4.97	0.16	4.97±0.16
34	Precision production occs	5: Black	1,435	310,343	90.83	5.63	0.55	5.63±0.55
34	Precision production occs	6: Other	595	156,740	92.90	4.98	0.76	4.98±0.76
34	Precision production occs	7: Hispanic	1,326	343,542	92.79	4.62	0.55	4.62±0.55
34	Precision production occs	8: NonHispanic	13,548	3,423,046	92.03	5.07	0.16	5.07±0.16
35	Machine operators/tenderers, except precision	1: Total	21,002	5,221,401	91.48	5.21	0.12	5.21±0.12
35	Machine operators/tenderers, except precision	2: Male	12,267	3,134,398	92.39	5.15	0.17	5.15±0.17
35	Machine operators/tenderers, except precision	3: Female	8,735	2,087,003	90.11	5.29	0.16	5.29±0.16
35	Machine operators/tenderers, except precision	4: White	16,448	4,210,362	91.27	5.09	0.13	5.09±0.13
35	Machine operators/tenderers, except precision	5: Black	3,729	794,809	91.69	5.77	0.35	5.77±0.35
35	Machine operators/tenderers, except precision	6: Other	825	216,230	94.83	6.06	0.86	6.06±0.86
35	Machine operators/tenderers, except precision	7: Hispanic	2,637	660,521	93.65	4.96	0.33	4.96±0.33
35	Machine operators/tenderers, except precision	8: NonHispanic	18,365	4,560,880	91.17	5.24	0.13	5.24±0.13
36	Fabricators, assemblers, inspectors, samplers	1: Total	10,312	2,566,964	90.01	5.10	0.16	5.10±0.16
36	Fabricators, assemblers, inspectors, samplers	2: Male	6,209	1,581,326	91.34	4.89	0.22	4.89±0.22
36	Fabricators, assemblers, inspectors, samplers	3: Female	4,103	985,638	87.89	5.35	0.23	5.35±0.23
36	Fabricators, assemblers, inspectors, samplers	4: White	8,334	2,118,235	90.17	4.90	0.17	4.90±0.17
36	Fabricators, assemblers, inspectors, samplers	5: Black	1,541	336,777	88.42	6.07	0.46	6.07±0.46
36	Fabricators, assemblers, inspectors, samplers	6: Other	437	111,951	91.80	5.53	0.82	5.53±0.82
36	Fabricators, assemblers, inspectors, samplers	7: Hispanic	1,197	298,407	93.09	5.28	0.57	5.28±0.57
36	Fabricators, assemblers, inspectors, samplers	8: NonHispanic	9,115	2,268,557	89.61	5.09	0.17	5.09±0.17
37	Motor vehicle operators	1: Total	14,053	3,529,824	92.36	5.96	0.17	5.96±0.17
37	Motor vehicle operators	2: Male	12,448	3,147,698	92.80	5.92	0.19	5.92±0.19
37	Motor vehicle operators	3: Female	1,605	382,126	88.74	6.21	0.35	6.21±0.35
37	Motor vehicle operators	4: White	11,318	2,907,359	92.46	5.88	0.19	5.88±0.19
37	Motor vehicle operators	5: Black	2,421	536,222	91.61	6.34	0.37	6.34±0.37
37	Motor vehicle operators	6: Other	314	86,243	93.76	6.04	0.88	6.04±0.88
37	Motor vehicle operators	7: Hispanic	1,051	276,992	92.08	6.01	0.63	6.01±0.63
37	Motor vehicle operators	8: NonHispanic	13,002	3,252,832	92.39	5.96	0.18	5.96±0.18
38	Other transportation, except motor vehicles	1: Total	668	176,360	92.18	7.58	0.71	7.58±0.71
38	Other transportation, except motor vehicles	2: Male	645	170,736	92.04	7.67	0.73	7.67±0.73
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	91.96	7.90	0.76	7.90±0.76
38	Other transportation, except motor vehicles	5: Black	63	13,492	93.32	2.93	0.32	2.93±0.32
38	Other transportation, except motor vehicles	6: Other	7	2,587	100.00
38	Other transportation, except motor vehicles	7: Hispanic	21	6,341	96.43	1.00	0.00	1.00±0.00
38	Other transportation, except motor vehicles	8: NonHispanic	647	170,020	92.03	7.69	0.70	7.69±0.70
39	Material moving equipment operators	1: Total	4,326	1,094,233	92.25	5.57	0.29	5.57±0.29
39	Material moving equipment operators	2: Male	4,084	1,035,934	92.37	5.52	0.29	5.52±0.29
39	Material moving equipment operators	3: Female	242	58,299	90.28	6.27	1.18	6.27±1.18
39	Material moving equipment operators	4: White	3,575	919,315	92.39	5.62	0.31	5.62±0.31
39	Material moving equipment operators	5: Black	663	152,242	91.44	5.63	0.85	5.63±0.85
39	Material moving equipment operators	6: Other	88	22,676	92.03	3.04	1.42	3.04±1.42
39	Material moving equipment operators	7: Hispanic	352	88,147	92.70	7.07	1.07	7.07±1.07
39	Material moving equipment operators	8: NonHispanic	3,974	1,006,086	92.21	5.45	0.29	5.45±0.29
40	Construction laborers	1: Total	2,707	697,191	93.07	6.10	0.39	6.10±0.39
40	Construction laborers	2: Male	2,625	676,315	93.20	6.11	0.41	6.11±0.41
40	Construction laborers	3: Female	82	20,877	88.83	5.91	0.54	5.91±0.54
40	Construction laborers	4: White	2,216	585,900	92.95	5.99	0.44	5.99±0.44
40	Construction laborers	5: Black	440	97,045	93.77	6.54	1.07	6.54±1.07
40	Construction laborers	6: Other	51	14,246	93.33	7.99	4.00	7.99±4.00
40	Construction laborers	7: Hispanic	427	111,458	94.94	6.67	1.31	6.67±1.31
40	Construction laborers	8: NonHispanic	2,280	585,733	92.71	6.03	0.39	6.03±0.39
41	Freight, stock, material handlers	1: Total	13,517	3,410,507	91.59	4.91	0.14	4.91±0.14
41	Freight, stock, material handlers	2: Male	10,246	2,627,018	92.09	4.79	0.18	4.79±0.18
41	Freight, stock, material handlers	3: Female	3,271	783,489	89.93	5.21	0.24	5.21±0.24
41	Freight, stock, material handlers	4: White	10,550	2,733,823	91.47	4.82	0.16	4.82±0.16
41	Freight, stock, material handlers	5: Black	2,561	564,450	91.88	5.35	0.38	5.35±0.38
41	Freight, stock, material handlers	6: Other	406	112,233	92.97	4.78	0.70	4.78±0.70
41	Freight, stock, material handlers	7: Hispanic	1,469	379,154	92.38	4.97	0.52	4.97±0.52
41	Freight, stock, material handlers	8: NonHispanic	12,048	3,031,353	91.49	4.90	0.15	4.90±0.15