Table 5. Average Number of Bed Days (> 1) in the past 2 weeks by 206 Occupations
					Acute Disability
	Occupation 206 Classes	Group	Sample Size	Population Estimates	Estimated Prevalence of  0 Bed Days in Prior 2 Weeks	Average # days among participants having at least 1 Bed Day in Prior 2 Weeks	Standard Error of Average # Bed Days	X+SE
5	Administrators/officials, public administration	1: Total	1,737	434,916	95.31	2.36	0.23	2.36±0.23
5	Administrators/officials, public administration	2: Male	917	237,832	96.55	2.79	0.55	2.79±0.55
5	Administrators/officials, public administration	3: Female	820	197,084	93.82	2.07	0.19	2.07±0.19
5	Administrators/officials, public administration	4: White	1,490	377,045	94.98	2.41	0.25	2.41±0.25
5	Administrators/officials, public administration	5: Black	184	40,408	97.42	1.48	0.22	1.48±0.22
5	Administrators/officials, public administration	6: Other	63	17,464	97.63	2.58	1.06	2.58±1.06
5	Administrators/officials, public administration	7: Hispanic	75	19,368	93.51	1.46	0.23	1.46±0.23
5	Administrators/officials, public administration	8: NonHispanic	1,662	415,549	95.40	2.42	0.25	2.42±0.25
7	Financial managers	1: Total	2,050	516,489	95.90	2.13	0.25	2.13±0.25
7	Financial managers	2: Male	1,122	290,553	97.54	2.37	0.51	2.37±0.51
7	Financial managers	3: Female	928	225,936	93.79	2.01	0.27	2.01±0.27
7	Financial managers	4: White	1,866	470,184	95.86	2.13	0.26	2.13±0.26
7	Financial managers	5: Black	116	27,663	96.39	2.73	0.63	2.73±0.63
7	Financial managers	6: Other	68	18,642	96.28	1.32	0.27	1.32±0.27
7	Financial managers	7: Hispanic	93	23,398	92.56	2.48	0.76	2.48±0.76
7	Financial managers	8: NonHispanic	1,957	493,091	96.06	2.10	0.26	2.10±0.26
8	Personnel and labor relations managers	1: Total	569	145,879	95.14	2.45	0.53	2.45±0.53
8	Personnel and labor relations managers	2: Male	272	70,491	96.11	2.30	0.62	2.30±0.62
8	Personnel and labor relations managers	3: Female	297	75,389	94.22	2.54	0.79	2.54±0.79
8	Personnel and labor relations managers	4: White	514	133,270	95.14	2.51	0.57	2.51±0.57
8	Personnel and labor relations managers	5: Black	45	9,918	93.82	1.77	0.22	1.77±0.22
8	Personnel and labor relations managers	6: Other	10	2,691	100.00
8	Personnel and labor relations managers	7: Hispanic	19	4,976	100.00
8	Personnel and labor relations managers	8: NonHispanic	550	140,903	94.97	2.45	0.53	2.45±0.53
9	Purchasing managers	1: Total	479	122,582	95.46	2.91	0.69	2.90±0.69
9	Purchasing managers	2: Male	305	80,853	97.00	1.69	0.25	1.69±0.25
9	Purchasing managers	3: Female	174	41,729	92.47	3.84	1.16	3.84±1.16
9	Purchasing managers	4: White	424	108,587	94.99	2.88	0.71	2.88±0.71
9	Purchasing managers	5: Black	41	10,684	98.85	4.00	0.00	4.00±0.00
9	Purchasing managers	6: Other	14	3,311	100.00
9	Purchasing managers	7: Hispanic	7	1,684	100.00
9	Purchasing managers	8: NonHispanic	472	120,898	95.40	2.91	0.69	2.90±0.69
13	Managers/marketing/advertising/PR	1: Total	2,502	637,557	95.13	2.68	0.31	2.68±0.31
13	Managers/marketing/advertising/PR	2: Male	1,694	435,903	96.38	3.02	0.40	3.02±0.40
13	Managers/marketing/advertising/PR	3: Female	808	201,654	92.43	2.34	0.43	2.34±0.43
13	Managers/marketing/advertising/PR	4: White	2,358	598,994	95.08	2.64	0.32	2.64±0.32
13	Managers/marketing/advertising/PR	5: Black	95	24,634	94.80	3.86	1.83	3.86±1.83
13	Managers/marketing/advertising/PR	6: Other	49	13,929	97.77	2.00	0.00	2.00±0.00
13	Managers/marketing/advertising/PR	7: Hispanic	90	24,947	96.36	1.69	0.25	1.69±0.25
13	Managers/marketing/advertising/PR	8: NonHispanic	2,412	612,611	95.08	2.71	0.32	2.71±0.32
14	Administrators, education and related fields	1: Total	2,131	532,733	95.04	2.63	0.29	2.63±0.29
14	Administrators, education and related fields	2: Male	980	250,290	96.55	3.57	0.73	3.57±0.73
14	Administrators, education and related fields	3: Female	1,151	282,442	93.71	2.18	0.22	2.18±0.22
14	Administrators, education and related fields	4: White	1,832	463,963	94.85	2.61	0.32	2.61±0.32
14	Administrators, education and related fields	5: Black	261	58,624	96.09	3.03	0.46	3.03±0.46
14	Administrators, education and related fields	6: Other	38	10,146	97.96	1.00	0.00	1.00±0.00
14	Administrators, education and related fields	7: Hispanic	82	20,122	89.16	3.66	1.38	3.66±1.38
14	Administrators, education and related fields	8: NonHispanic	2,049	512,610	95.28	2.54	0.29	2.54±0.29
15	Managers, medicine and health	1: Total	1,009	257,406	95.36	2.08	0.21	2.08±0.21
15	Managers, medicine and health	2: Male	309	80,541	96.45	1.45	0.21	1.45±0.21
15	Managers, medicine and health	3: Female	700	176,865	94.87	2.28	0.26	2.28±0.26
15	Managers, medicine and health	4: White	870	225,557	95.65	2.09	0.25	2.09±0.25
15	Managers, medicine and health	5: Black	110	24,524	92.95	2.01	0.38	2.01±0.38
15	Managers, medicine and health	6: Other	29	7,325	94.53	2.00	0.00	2.00±0.00
15	Managers, medicine and health	7: Hispanic	43	11,755	87.98	3.24	0.91	3.24±0.91
15	Managers, medicine and health	8: NonHispanic	966	245,651	95.72	1.92	0.18	1.92±0.18
18	Managers, properties and real estate	1: Total	1,655	424,823	95.20	3.16	0.44	3.16±0.44
18	Managers, properties and real estate	2: Male	881	228,170	96.47	3.06	0.79	3.06±0.79
18	Managers, properties and real estate	3: Female	774	196,652	93.72	3.22	0.52	3.22±0.52
18	Managers, properties and real estate	4: White	1,482	384,861	95.27	2.89	0.35	2.89±0.35
18	Managers, properties and real estate	5: Black	135	29,675	95.95	2.30	0.41	2.30±0.41
18	Managers, properties and real estate	6: Other	38	10,286	90.33	9.09	3.27	9.09±3.27
18	Managers, properties and real estate	7: Hispanic	97	24,180	98.08	3.93	0.70	3.93±0.70
18	Managers, properties and real estate	8: NonHispanic	1,558	400,643	95.02	3.14	0.45	3.14±0.45
22	Managers and administrators	1: Total	33,553	8,609,388	95.94	2.70	0.09	2.70±0.09
22	Managers and administrators	2: Male	22,108	5,760,962	96.92	2.67	0.13	2.67±0.13
22	Managers and administrators	3: Female	11,445	2,848,426	93.96	2.73	0.12	2.73±0.12
22	Managers and administrators	4: White	30,560	7,891,127	95.97	2.65	0.08	2.65±0.08
22	Managers and administrators	5: Black	1,917	437,418	95.47	3.63	0.37	3.63±0.37
22	Managers and administrators	6: Other	1,076	280,842	95.80	2.45	0.47	2.45±0.47
22	Managers and administrators	7: Hispanic	1,622	424,777	96.08	3.00	0.41	3.00±0.41
22	Managers and administrators	8: NonHispanic	31,931	8,184,610	95.93	2.68	0.09	2.68±0.09
23	Accountants and auditors	1: Total	5,647	1,449,425	95.11	2.54	0.15	2.54±0.15
23	Accountants and auditors	2: Male	2,633	700,754	96.95	2.06	0.30	2.06±0.30
23	Accountants and auditors	3: Female	3,014	748,671	93.39	2.75	0.19	2.75±0.19
23	Accountants and auditors	4: White	4,865	1,258,209	95.18	2.54	0.18	2.54±0.18
23	Accountants and auditors	5: Black	466	106,603	94.43	2.90	0.45	2.90±0.45
23	Accountants and auditors	6: Other	316	84,613	95.00	2.02	0.24	2.02±0.24
23	Accountants and auditors	7: Hispanic	269	69,340	93.39	3.96	1.05	3.96±1.05
23	Accountants and auditors	8: NonHispanic	5,378	1,380,086	95.20	2.44	0.15	2.44±0.15
25	Other financial officers	1: Total	2,856	727,887	95.69	2.28	0.23	2.28±0.23
25	Other financial officers	2: Male	1,436	375,925	96.71	1.90	0.30	1.90±0.30
25	Other financial officers	3: Female	1,420	351,962	94.60	2.53	0.31	2.53±0.31
25	Other financial officers	4: White	2,558	655,800	95.41	2.27	0.24	2.27±0.24
25	Other financial officers	5: Black	191	44,236	97.62	2.80	0.61	2.80±0.61
25	Other financial officers	6: Other	107	27,850	99.21	1.00	0.00	1.00±0.00
25	Other financial officers	7: Hispanic	152	41,048	95.50	3.06	1.32	3.06±1.32
25	Other financial officers	8: NonHispanic	2,704	686,838	95.70	2.23	0.23	2.23±0.23
26	Management analysts	1: Total	823	207,706	95.46	2.14	0.40	2.14±0.40
26	Management analysts	2: Male	530	137,577	97.04	2.30	0.51	2.30±0.51
26	Management analysts	3: Female	293	70,129	92.36	2.02	0.40	2.02±0.40
26	Management analysts	4: White	749	190,942	95.90	2.09	0.45	2.09±0.45
26	Management analysts	5: Black	48	9,673	90.96	3.57	1.98	3.57±1.98
26	Management analysts	6: Other	26	7,090	89.84	1.00	0.00	1.00±0.00
26	Management analysts	7: Hispanic	26	6,690	100.00
26	Management analysts	8: NonHispanic	797	201,016	95.31	2.14	0.40	2.14±0.40
27	Personnel/training/labor relations specialists	1: Total	1,707	429,136	95.80	2.90	0.56	2.90±0.56
27	Personnel/training/labor relations specialists	2: Male	714	184,738	96.75	2.39	0.54	2.39±0.54
27	Personnel/training/labor relations specialists	3: Female	993	244,398	95.08	3.16	0.78	3.16±0.78
27	Personnel/training/labor relations specialists	4: White	1,448	368,799	95.68	2.98	0.62	2.98±0.62
27	Personnel/training/labor relations specialists	5: Black	219	50,123	96.52	2.56	0.44	2.56±0.44
27	Personnel/training/labor relations specialists	6: Other	40	10,214	96.39	1.38	0.33	1.38±0.33
27	Personnel/training/labor relations specialists	7: Hispanic	89	23,144	93.92	1.51	0.32	1.51±0.32
27	Personnel/training/labor relations specialists	8: NonHispanic	1,618	405,992	95.90	3.02	0.60	3.02±0.60
29	Buyers, wholesale/retail trade except farm products	1: Total	736	191,990	93.91	3.02	0.60	3.02±0.60
29	Buyers, wholesale/retail trade except farm products	2: Male	323	84,773	94.76	2.66	0.54	2.66±0.54
29	Buyers, wholesale/retail trade except farm products	3: Female	413	107,217	93.24	3.25	0.90	3.25±0.90
29	Buyers, wholesale/retail trade except farm products	4: White	698	182,261	93.65	3.03	0.61	3.03±0.61
29	Buyers, wholesale/retail trade except farm products	5: Black	24	5,199	97.84	2.00	0.00	2.00±0.00
29	Buyers, wholesale/retail trade except farm products	6: Other	14	4,530	100.00
29	Buyers, wholesale/retail trade except farm products	7: Hispanic	42	11,166	96.31	1.49	0.35	1.49±0.35
29	Buyers, wholesale/retail trade except farm products	8: NonHispanic	694	180,824	93.76	3.08	0.62	3.08±0.62
33	Purchasing agents and buyers	1: Total	1,007	260,021	94.60	2.57	0.40	2.57±0.40
33	Purchasing agents and buyers	2: Male	523	135,805	93.97	2.44	0.46	2.44±0.46
33	Purchasing agents and buyers	3: Female	484	124,216	95.29	2.75	0.68	2.75±0.68
33	Purchasing agents and buyers	4: White	920	240,255	94.34	2.54	0.41	2.54±0.41
33	Purchasing agents and buyers	5: Black	73	16,511	97.38	3.36	1.08	3.36±1.08
33	Purchasing agents and buyers	6: Other	14	3,255	100.00
33	Purchasing agents and buyers	7: Hispanic	41	11,359	97.15	1.68	0.31	1.68±0.31
33	Purchasing agents and buyers	8: NonHispanic	966	248,662	94.49	2.59	0.41	2.59±0.41
36	Inspectors/compliance officers, except construction	1: Total	713	183,364	94.50	2.59	0.42	2.59±0.42
36	Inspectors/compliance officers, except construction	2: Male	487	126,705	94.86	2.15	0.41	2.15±0.41
36	Inspectors/compliance officers, except construction	3: Female	226	56,659	93.68	3.39	0.90	3.39±0.90
36	Inspectors/compliance officers, except construction	4: White	595	155,299	94.50	2.31	0.39	2.31±0.39
36	Inspectors/compliance officers, except construction	5: Black	99	22,404	94.25	4.78	1.85	4.78±1.85
36	Inspectors/compliance officers, except construction	6: Other	19	5,661	95.36	1.00	0.00	1.00±0.00
36	Inspectors/compliance officers, except construction	7: Hispanic	45	12,274	92.60	3.29	1.70	3.29±1.70
36	Inspectors/compliance officers, except construction	8: NonHispanic	668	171,090	94.63	2.52	0.42	2.52±0.42
37	Management related occs	1: Total	1,476	371,203	94.32	2.39	0.28	2.39±0.28
37	Management related occs	2: Male	216	57,908	97.47	2.82	0.62	2.82±0.62
37	Management related occs	3: Female	1,260	313,295	93.73	2.36	0.29	2.36±0.29
37	Management related occs	4: White	1,244	319,117	94.31	2.20	0.28	2.20±0.28
37	Management related occs	5: Black	171	36,745	93.83	3.31	1.36	3.31±1.36
37	Management related occs	6: Other	61	15,341	95.69	4.26	1.87	4.26±1.87
37	Management related occs	7: Hispanic	84	21,261	91.38	3.53	0.87	3.53±0.87
37	Management related occs	8: NonHispanic	1,392	349,942	94.50	2.28	0.29	2.28±0.29
43	Architects	1: Total	680	176,710	94.27	2.61	0.45	2.61±0.45
43	Architects	2: Male	587	153,567	94.61	2.74	0.55	2.74±0.55
43	Architects	3: Female	93	23,143	92.01	2.02	0.32	2.02±0.32
43	Architects	4: White	623	162,108	94.76	2.09	0.28	2.09±0.28
43	Architects	5: Black	24	6,366	94.87	14.00	0.00	14.00±0.00
43	Architects	6: Other	33	8,236	84.03	3.15	0.95	3.15±0.95
43	Architects	7: Hispanic	50	12,774	96.49	2.64	1.05	2.64±1.05
43	Architects	8: NonHispanic	630	163,936	94.09	2.61	0.47	2.61±0.47
44	Aerospace	1: Total	452	115,384	96.57	1.82	0.30	1.82±0.30
44	Aerospace	2: Male	425	108,773	96.83	1.53	0.20	1.53±0.20
44	Aerospace	3: Female	27	6,612	92.42	3.75	1.03	3.75±1.03
44	Aerospace	4: White	408	104,395	96.49	1.56	0.19	1.56±0.19
44	Aerospace	5: Black	11	2,570	88.61	5.00	0.00	5.00±0.00
44	Aerospace	6: Other	33	8,418	100.00
44	Aerospace	7: Hispanic	13	3,735	100.00
44	Aerospace	8: NonHispanic	439	111,649	96.46	1.82	0.30	1.82±0.30
53	Civil	1: Total	1,015	264,614	96.80	2.13	0.39	2.13±0.39
53	Civil	2: Male	952	248,854	97.22	2.22	0.47	2.22±0.47
53	Civil	3: Female	63	15,759	90.03	1.75	0.27	1.75±0.27
53	Civil	4: White	897	233,004	96.91	1.99	0.40	1.99±0.40
53	Civil	5: Black	43	11,165	96.78	1.43	0.54	1.43±0.54
53	Civil	6: Other	75	20,444	95.48	3.49	1.31	3.49±1.31
53	Civil	7: Hispanic	48	13,090	100.00
53	Civil	8: NonHispanic	967	251,524	96.63	2.13	0.39	2.13±0.39
55	Electrical and electronic	1: Total	2,274	592,715	96.88	2.25	0.30	2.25±0.30
55	Electrical and electronic	2: Male	2,075	543,197	97.21	2.21	0.30	2.21±0.30
55	Electrical and electronic	3: Female	199	49,518	93.23	2.41	0.86	2.41±0.86
55	Electrical and electronic	4: White	1,989	518,640	96.71	1.93	0.22	1.93±0.22
55	Electrical and electronic	5: Black	109	28,944	95.90	7.12	1.65	7.12±1.65
55	Electrical and electronic	6: Other	176	45,131	99.42	1.00	0.00	1.00±0.00
55	Electrical and electronic	7: Hispanic	82	20,764	97.93	1.00	0.00	1.00±0.00
55	Electrical and electronic	8: NonHispanic	2,192	571,951	96.84	2.28	0.30	2.28±0.30
56	Industrial	1: Total	920	234,775	96.41	2.53	0.41	2.53±0.41
56	Industrial	2: Male	781	200,847	96.60	2.63	0.48	2.63±0.48
56	Industrial	3: Female	139	33,928	95.29	2.11	0.48	2.11±0.48
56	Industrial	4: White	824	210,888	96.42	2.45	0.44	2.45±0.44
56	Industrial	5: Black	52	11,813	96.29	4.56	1.02	4.56±1.02
56	Industrial	6: Other	44	12,074	96.27	1.89	0.70	1.89±0.70
56	Industrial	7: Hispanic	26	7,319	100.00
56	Industrial	8: NonHispanic	894	227,456	96.29	2.53	0.41	2.53±0.41
57	Mechanical	1: Total	1,255	330,773	96.78	3.49	0.65	3.49±0.65
57	Mechanical	2: Male	1,196	315,885	96.78	3.61	0.67	3.61±0.67
57	Mechanical	3: Female	59	14,888	96.65	1.00	0.00	1.00±0.00
57	Mechanical	4: White	1,121	293,040	97.02	3.26	0.66	3.26±0.66
57	Mechanical	5: Black	51	15,201	92.95	6.35	2.90	6.35±2.90
57	Mechanical	6: Other	83	22,532	96.18	2.23	0.43	2.23±0.43
57	Mechanical	7: Hispanic	35	9,655	91.87	7.49	3.56	7.49±3.56
57	Mechanical	8: NonHispanic	1,220	321,118	96.92	3.17	0.58	3.17±0.58
59	Engineers	1: Total	1,081	285,379	96.08	2.31	0.52	2.31±0.52
59	Engineers	2: Male	987	262,140	96.17	2.40	0.58	2.40±0.58
59	Engineers	3: Female	94	23,239	95.10	1.45	0.25	1.45±0.25
59	Engineers	4: White	956	254,567	96.28	1.80	0.21	1.80±0.21
59	Engineers	5: Black	38	9,368	90.18	8.27	1.67	8.27±1.67
59	Engineers	6: Other	87	21,444	96.38	1.36	0.27	1.36±0.27
59	Engineers	7: Hispanic	41	10,556	92.92	1.35	0.28	1.35±0.28
59	Engineers	8: NonHispanic	1,040	274,823	96.20	2.37	0.54	2.37±0.54
64	Computer systems analysts and scientists	1: Total	2,168	564,743	94.16	1.93	0.14	1.93±0.14
64	Computer systems analysts and scientists	2: Male	1,493	393,336	95.71	2.04	0.23	2.04±0.23
64	Computer systems analysts and scientists	3: Female	675	171,407	90.60	1.81	0.14	1.81±0.14
64	Computer systems analysts and scientists	4: White	1,852	484,823	94.84	2.08	0.17	2.08±0.17
64	Computer systems analysts and scientists	5: Black	161	39,421	88.72	1.42	0.15	1.42±0.15
64	Computer systems analysts and scientists	6: Other	155	40,500	91.31	1.53	0.23	1.53±0.23
64	Computer systems analysts and scientists	7: Hispanic	64	17,252	88.84	1.97	0.37	1.97±0.37
64	Computer systems analysts and scientists	8: NonHispanic	2,104	547,491	94.32	1.93	0.14	1.93±0.14
65	Operations/systems researchers and analysts	1: Total	1,082	279,844	94.93	2.18	0.30	2.18±0.30
65	Operations/systems researchers and analysts	2: Male	610	163,791	95.94	2.60	0.54	2.60±0.54
65	Operations/systems researchers and analysts	3: Female	472	116,053	93.51	1.82	0.25	1.81±0.25
65	Operations/systems researchers and analysts	4: White	930	241,287	95.16	2.13	0.33	2.13±0.33
65	Operations/systems researchers and analysts	5: Black	99	25,216	92.70	2.82	0.91	2.82±0.91
65	Operations/systems researchers and analysts	6: Other	53	13,341	95.00	1.30	0.26	1.30±0.26
65	Operations/systems researchers and analysts	7: Hispanic	46	11,394	93.86	1.60	0.52	1.60±0.52
65	Operations/systems researchers and analysts	8: NonHispanic	1,036	268,451	94.98	2.21	0.31	2.21±0.31
73	Chemists, except biochemists	1: Total	476	124,271	96.03	1.98	0.31	1.98±0.31
73	Chemists, except biochemists	2: Male	360	95,013	95.75	2.09	0.37	2.09±0.37
73	Chemists, except biochemists	3: Female	116	29,258	96.92	1.46	0.41	1.46±0.41
73	Chemists, except biochemists	4: White	392	102,713	95.40	1.93	0.32	1.93±0.32
73	Chemists, except biochemists	5: Black	31	7,721	100.00
73	Chemists, except biochemists	6: Other	53	13,837	98.49	3.00	0.00	3.00±0.00
73	Chemists, except biochemists	7: Hispanic	18	4,617	98.30	1.00	0.00	1.00±0.00
73	Chemists, except biochemists	8: NonHispanic	458	119,654	95.94	1.99	0.32	1.99±0.32
84	Physicians	1: Total	2,193	564,555	97.60	2.90	0.41	2.90±0.41
84	Physicians	2: Male	1,713	444,900	98.18	2.75	0.49	2.75±0.49
84	Physicians	3: Female	480	119,655	95.46	3.12	0.80	3.12±0.80
84	Physicians	4: White	1,863	478,408	97.45	2.78	0.47	2.78±0.47
84	Physicians	5: Black	97	24,627	99.09	2.00	0.00	2.00±0.00
84	Physicians	6: Other	233	61,520	98.19	4.38	1.03	4.38±1.03
84	Physicians	7: Hispanic	124	34,042	95.29	2.16	0.58	2.16±0.58
84	Physicians	8: NonHispanic	2,069	530,513	97.75	3.00	0.47	3.00±0.47
85	Dentists	1: Total	557	139,120	98.57	3.17	1.29	3.17±1.29
85	Dentists	2: Male	484	121,213	99.00	4.32	1.95	4.32±1.95
85	Dentists	3: Female	73	17,908	95.71	1.35	0.28	1.35±0.28
85	Dentists	4: White	505	126,000	98.65	3.53	1.46	3.53±1.46
85	Dentists	5: Black	16	4,094	93.05	1.00	0.00	1.00±0.00
85	Dentists	6: Other	36	9,026	100.00
85	Dentists	7: Hispanic	15	3,889	100.00
85	Dentists	8: NonHispanic	542	135,231	98.53	3.17	1.29	3.17±1.29
95	Registered nurses	1: Total	7,300	1,799,165	93.95	2.65	0.15	2.65±0.15
95	Registered nurses	2: Male	362	92,522	93.98	2.49	0.41	2.49±0.41
95	Registered nurses	3: Female	6,938	1,706,643	93.95	2.66	0.15	2.66±0.15
95	Registered nurses	4: White	6,131	1,537,400	94.12	2.60	0.17	2.60±0.17
95	Registered nurses	5: Black	815	172,626	91.91	3.14	0.48	3.14±0.48
95	Registered nurses	6: Other	354	89,139	95.07	2.24	0.21	2.24±0.21
95	Registered nurses	7: Hispanic	229	57,372	96.67	2.95	1.06	2.95±1.06
95	Registered nurses	8: NonHispanic	7,071	1,741,793	93.86	2.65	0.15	2.65±0.15
96	Pharmacists	1: Total	640	164,795	96.22	2.56	0.41	2.56±0.41
96	Pharmacists	2: Male	374	96,449	96.32	2.79	0.58	2.79±0.58
96	Pharmacists	3: Female	266	68,346	96.09	2.24	0.49	2.24±0.49
96	Pharmacists	4: White	578	148,253	96.21	2.70	0.41	2.70±0.41
96	Pharmacists	5: Black	18	4,373	100.00
96	Pharmacists	6: Other	44	12,169	95.07	1.23	0.25	1.23±0.25
96	Pharmacists	7: Hispanic	21	5,287	96.00	1.00	0.00	1.00±0.00
96	Pharmacists	8: NonHispanic	619	159,508	96.23	2.61	0.42	2.61±0.42
97	Dietitians	1: Total	426	105,770	95.64	3.16	0.43	3.16±0.43
97	Dietitians	2: Male	50	13,150	94.61	5.47	1.16	5.47±1.16
97	Dietitians	3: Female	376	92,621	95.79	2.73	0.37	2.73±0.37
97	Dietitians	4: White	293	76,547	95.96	2.65	0.50	2.65±0.50
97	Dietitians	5: Black	109	22,571	93.27	4.18	0.90	4.18±0.90
97	Dietitians	6: Other	24	6,653	100.00
97	Dietitians	7: Hispanic	24	7,683	87.99	4.00	0.00	4.00±0.00
97	Dietitians	8: NonHispanic	402	98,087	96.24	2.95	0.53	2.95±0.53
154	Postsecondary teachers, subject unspecified	1: Total	887	225,123	95.66	2.13	0.24	2.13±0.24
154	Postsecondary teachers, subject unspecified	2: Male	493	128,234	97.49	2.03	0.35	2.03±0.35
154	Postsecondary teachers, subject unspecified	3: Female	394	96,889	93.23	2.17	0.29	2.17±0.29
154	Postsecondary teachers, subject unspecified	4: White	699	177,407	95.46	2.12	0.26	2.12±0.26
154	Postsecondary teachers, subject unspecified	5: Black	66	15,509	93.61	2.27	0.65	2.27±0.65
154	Postsecondary teachers, subject unspecified	6: Other	122	32,207	97.75	2.00	0.00	2.00±0.00
154	Postsecondary teachers, subject unspecified	7: Hispanic	24	8,057	100.00
154	Postsecondary teachers, subject unspecified	8: NonHispanic	863	217,066	95.50	2.13	0.24	2.13±0.24
155	Teachers, pre-K and K	1: Total	1,650	408,944	93.35	2.44	0.28	2.44±0.28
155	Teachers, pre-K and K	2: Male	23	6,290	93.04	1.49	0.35	1.49±0.35
155	Teachers, pre-K and K	3: Female	1,627	402,653	93.36	2.46	0.28	2.46±0.28
155	Teachers, pre-K and K	4: White	1,348	344,094	93.33	2.56	0.31	2.56±0.31
155	Teachers, pre-K and K	5: Black	257	52,578	93.25	1.76	0.30	1.76±0.30
155	Teachers, pre-K and K	6: Other	45	12,272	94.38	1.94	0.50	1.94±0.50
155	Teachers, pre-K and K	7: Hispanic	99	25,558	94.90	2.58	0.53	2.58±0.53
155	Teachers, pre-K and K	8: NonHispanic	1,551	383,386	93.25	2.44	0.29	2.44±0.29
156	Teachers, elementary school	1: Total	6,236	1,524,602	94.71	2.58	0.15	2.58±0.15
156	Teachers, elementary school	2: Male	954	240,550	95.88	2.76	0.43	2.76±0.43
156	Teachers, elementary school	3: Female	5,282	1,284,053	94.50	2.56	0.16	2.56±0.16
156	Teachers, elementary school	4: White	5,452	1,361,322	94.64	2.44	0.14	2.44±0.14
156	Teachers, elementary school	5: Black	698	140,683	95.13	4.16	0.94	4.16±0.94
156	Teachers, elementary school	6: Other	86	22,597	96.93	1.65	0.30	1.65±0.30
156	Teachers, elementary school	7: Hispanic	248	63,217	93.13	3.54	0.90	3.54±0.90
156	Teachers, elementary school	8: NonHispanic	5,988	1,461,386	94.78	2.53	0.16	2.53±0.16
157	Teachers, secondary school	1: Total	4,792	1,207,921	94.92	2.17	0.14	2.17±0.14
157	Teachers, secondary school	2: Male	2,040	528,711	96.66	2.03	0.23	2.03±0.23
157	Teachers, secondary school	3: Female	2,752	679,210	93.56	2.22	0.15	2.22±0.15
157	Teachers, secondary school	4: White	4,275	1,096,317	94.94	2.08	0.13	2.08±0.13
157	Teachers, secondary school	5: Black	455	93,839	95.07	3.21	0.74	3.21±0.74
157	Teachers, secondary school	6: Other	62	17,764	92.71	2.18	0.56	2.18±0.56
157	Teachers, secondary school	7: Hispanic	173	46,830	94.60	2.73	1.03	2.73±1.03
157	Teachers, secondary school	8: NonHispanic	4,619	1,161,090	94.93	2.14	0.14	2.14±0.14
158	Teachers, special education	1: Total	1,017	252,519	93.89	2.27	0.31	2.27±0.31
158	Teachers, special education	2: Male	160	42,514	92.95	2.83	1.19	2.83±1.19
158	Teachers, special education	3: Female	857	210,005	94.08	2.13	0.24	2.13±0.24
158	Teachers, special education	4: White	878	219,377	94.22	1.94	0.23	1.94±0.23
158	Teachers, special education	5: Black	125	29,254	92.12	4.34	1.47	4.34±1.47
158	Teachers, special education	6: Other	14	3,887	88.11	1.00	0.00	1.00±0.00
158	Teachers, special education	7: Hispanic	36	9,380	92.52	1.32	0.27	1.32±0.27
158	Teachers, special education	8: NonHispanic	981	243,139	93.94	2.31	0.32	2.31±0.32
159	Teachers	1: Total	2,162	545,219	94.67	2.34	0.19	2.34±0.19
159	Teachers	2: Male	794	207,073	95.35	2.56	0.46	2.56±0.46
159	Teachers	3: Female	1,368	338,146	94.26	2.23	0.21	2.23±0.21
159	Teachers	4: White	1,919	489,427	94.54	2.21	0.17	2.21±0.17
159	Teachers	5: Black	182	39,796	94.15	3.81	1.51	3.81±1.51
159	Teachers	6: Other	61	15,996	100.00
159	Teachers	7: Hispanic	89	22,091	94.73	4.18	0.83	4.18±0.83
159	Teachers	8: NonHispanic	2,073	523,129	94.67	2.27	0.19	2.27±0.19
163	Counselors, Educational and Vocational	1: Total	1,026	262,756	94.35	1.71	0.15	1.71±0.15
163	Counselors, Educational and Vocational	2: Male	349	92,738	97.31	1.36	0.22	1.36±0.22
163	Counselors, Educational and Vocational	3: Female	677	170,018	92.74	1.78	0.17	1.78±0.17
163	Counselors, Educational and Vocational	4: White	818	211,544	94.55	1.68	0.13	1.68±0.13
163	Counselors, Educational and Vocational	5: Black	175	40,618	94.31	2.15	0.60	2.15±0.60
163	Counselors, Educational and Vocational	6: Other	33	10,594	90.59	1.00	0.00	1.00±0.00
163	Counselors, Educational and Vocational	7: Hispanic	48	11,557	93.71	1.32	0.27	1.32±0.27
163	Counselors, Educational and Vocational	8: NonHispanic	978	251,198	94.38	1.73	0.15	1.73±0.15
164	Librarians	1: Total	737	185,788	94.08	3.74	0.70	3.74±0.70
164	Librarians	2: Male	104	27,565	98.38	1.91	0.70	1.91±0.70
164	Librarians	3: Female	633	158,222	93.33	3.82	0.72	3.82±0.72
164	Librarians	4: White	659	167,087	93.56	3.80	0.71	3.80±0.71
164	Librarians	5: Black	50	10,377	97.77	1.00	0.00	1.00±0.00
164	Librarians	6: Other	28	8,323	100.00
164	Librarians	7: Hispanic	24	6,860	100.00
164	Librarians	8: NonHispanic	713	178,927	93.86	3.74	0.70	3.74±0.70
166	Economists	1: Total	635	166,170	95.44	2.94	0.72	2.94±0.72
166	Economists	2: Male	364	97,324	97.84	3.77	1.66	3.77±1.66
166	Economists	3: Female	271	68,846	92.06	2.62	0.80	2.62±0.80
166	Economists	4: White	574	150,931	95.24	2.84	0.78	2.84±0.78
166	Economists	5: Black	38	8,685	95.63	4.74	3.77	4.74±3.77
166	Economists	6: Other	23	6,553	100.00
166	Economists	7: Hispanic	30	7,949	93.77	3.03	1.41	3.03±1.41
166	Economists	8: NonHispanic	605	158,220	95.53	2.93	0.77	2.93±0.77
167	Psychologists	1: Total	754	190,497	94.28	2.41	0.38	2.41±0.38
167	Psychologists	2: Male	320	82,506	95.56	1.44	0.15	1.44±0.15
167	Psychologists	3: Female	434	107,991	93.30	2.90	0.56	2.90±0.56
167	Psychologists	4: White	686	174,659	94.00	2.45	0.39	2.45±0.39
167	Psychologists	5: Black	56	12,367	99.10	2.00	0.00	2.00±0.00
167	Psychologists	6: Other	12	3,472	91.42	1.00	0.00	1.00±0.00
167	Psychologists	7: Hispanic	38	9,612	88.00	1.56	0.47	1.56±0.47
167	Psychologists	8: NonHispanic	716	180,885	94.62	2.51	0.42	2.51±0.42
174	Social workers	1: Total	2,351	569,851	92.22	2.90	0.24	2.90±0.24
174	Social workers	2: Male	695	176,079	94.88	2.36	0.43	2.36±0.43
174	Social workers	3: Female	1,656	393,771	91.03	3.04	0.26	3.04±0.26
174	Social workers	4: White	1,765	441,564	92.16	2.59	0.24	2.59±0.24
174	Social workers	5: Black	532	114,755	91.78	4.10	0.67	4.10±0.67
174	Social workers	6: Other	54	13,531	97.84	1.00	0.00	1.00±0.00
174	Social workers	7: Hispanic	147	35,804	90.37	3.12	0.95	3.12±0.95
174	Social workers	8: NonHispanic	2,204	534,047	92.34	2.88	0.24	2.88±0.24
176	Clergy	1: Total	1,345	330,405	95.87	3.28	0.72	3.28±0.72
176	Clergy	2: Male	1,223	303,305	96.01	3.46	0.80	3.46±0.80
176	Clergy	3: Female	122	27,099	94.36	1.86	0.24	1.86±0.24
176	Clergy	4: White	1,157	286,145	96.10	3.68	0.85	3.68±0.85
176	Clergy	5: Black	155	35,690	94.55	1.61	0.22	1.61±0.22
176	Clergy	6: Other	33	8,570	93.99	1.00	0.00	1.00±0.00
176	Clergy	7: Hispanic	37	10,323	95.01	1.00	0.00	1.00±0.00
176	Clergy	8: NonHispanic	1,308	320,081	95.90	3.37	0.74	3.37±0.74
178	Lawyers	1: Total	2,854	747,311	96.24	2.49	0.34	2.49±0.34
178	Lawyers	2: Male	2,147	568,786	96.71	2.93	0.46	2.93±0.46
178	Lawyers	3: Female	707	178,525	94.77	1.62	0.19	1.62±0.19
178	Lawyers	4: White	2,673	700,998	96.12	2.54	0.34	2.54±0.34
178	Lawyers	5: Black	131	32,972	98.02	1.00	0.00	1.00±0.00
178	Lawyers	6: Other	50	13,340	98.44	1.00	0.00	1.00±0.00
178	Lawyers	7: Hispanic	92	24,022	94.95	1.55	0.33	1.55±0.33
178	Lawyers	8: NonHispanic	2,762	723,289	96.29	2.53	0.35	2.53±0.35
185	Designers	1: Total	2,037	526,843	93.90	2.54	0.24	2.54±0.24
185	Designers	2: Male	853	225,588	94.10	2.44	0.37	2.44±0.37
185	Designers	3: Female	1,184	301,255	93.76	2.61	0.32	2.61±0.32
185	Designers	4: White	1,874	485,631	94.24	2.70	0.27	2.70±0.27
185	Designers	5: Black	78	18,362	87.76	1.65	0.29	1.65±0.29
185	Designers	6: Other	85	22,851	91.65	1.21	0.20	1.21±0.20
185	Designers	7: Hispanic	123	31,508	91.94	4.80	1.54	4.80±1.54
185	Designers	8: NonHispanic	1,914	495,335	94.03	2.35	0.23	2.35±0.23
186	Musicians and composers	1: Total	647	171,362	94.12	3.18	0.46	3.18±0.46
186	Musicians and composers	2: Male	394	106,537	95.33	3.02	0.84	3.02±0.84
186	Musicians and composers	3: Female	253	64,825	92.13	3.33	0.52	3.33±0.52
186	Musicians and composers	4: White	561	149,422	94.24	2.69	0.37	2.69±0.37
186	Musicians and composers	5: Black	65	16,035	94.96	9.16	3.24	9.16±3.24
186	Musicians and composers	6: Other	21	5,906	88.63	2.33	0.73	2.33±0.73
186	Musicians and composers	7: Hispanic	43	10,895	91.93	1.49	0.31	1.49±0.31
186	Musicians and composers	8: NonHispanic	604	160,467	94.27	3.34	0.49	3.34±0.49
187	Actors and directors	1: Total	397	103,368	94.19	2.27	0.37	2.27±0.37
187	Actors and directors	2: Male	242	64,217	95.94	2.08	0.40	2.08±0.40
187	Actors and directors	3: Female	155	39,152	91.32	2.42	0.55	2.42±0.55
187	Actors and directors	4: White	367	94,457	94.07	2.29	0.39	2.29±0.39
187	Actors and directors	5: Black	18	6,067	93.37	2.00	0.00	2.00±0.00
187	Actors and directors	6: Other	12	2,844	100.00
187	Actors and directors	7: Hispanic	22	5,345	86.28	3.43	1.49	3.43±1.49
187	Actors and directors	8: NonHispanic	375	98,023	94.62	2.11	0.36	2.11±0.36
188	Painters/sculptors/craft-artists/artist printmakers	1: Total	928	243,308	94.47	2.53	0.30	2.53±0.30
188	Painters/sculptors/craft-artists/artist printmakers	2: Male	451	120,720	95.38	2.18	0.49	2.18±0.49
188	Painters/sculptors/craft-artists/artist printmakers	3: Female	477	122,587	93.57	2.78	0.34	2.78±0.34
188	Painters/sculptors/craft-artists/artist printmakers	4: White	853	223,410	94.22	2.59	0.33	2.59±0.33
188	Painters/sculptors/craft-artists/artist printmakers	5: Black	39	9,904	94.49	1.00	0.00	1.00±0.00
188	Painters/sculptors/craft-artists/artist printmakers	6: Other	36	9,994	100.00
188	Painters/sculptors/craft-artists/artist printmakers	7: Hispanic	40	10,852	100.00
188	Painters/sculptors/craft-artists/artist printmakers	8: NonHispanic	888	232,456	94.21	2.53	0.30	2.53±0.30
189	Photographers	1: Total	503	134,989	95.26	3.74	0.87	3.74±0.87
189	Photographers	2: Male	364	101,240	95.70	4.11	1.03	4.11±1.03
189	Photographers	3: Female	139	33,749	93.95	2.95	1.15	2.95±1.15
189	Photographers	4: White	462	125,085	95.13	3.78	0.91	3.78±0.91
189	Photographers	5: Black	28	6,256	95.17	3.00	0.00	3.00±0.00
189	Photographers	6: Other	13	3,648	100.00
189	Photographers	7: Hispanic	18	4,926	95.42	1.00	0.00	1.00±0.00
189	Photographers	8: NonHispanic	485	130,063	95.26	3.84	0.86	3.84±0.86
195	Editors and reporters	1: Total	933	247,967	94.90	3.18	0.53	3.18±0.53
195	Editors and reporters	2: Male	478	130,383	97.02	2.58	0.76	2.58±0.76
195	Editors and reporters	3: Female	455	117,584	92.55	3.45	0.67	3.45±0.67
195	Editors and reporters	4: White	865	228,960	94.91	3.10	0.56	3.10±0.56
195	Editors and reporters	5: Black	45	12,182	93.62	4.48	1.45	4.48±1.45
195	Editors and reporters	6: Other	23	6,825	97.02	3.00	0.00	3.00±0.00
195	Editors and reporters	7: Hispanic	24	6,974	93.96	1.00	0.00	1.00±0.00
195	Editors and reporters	8: NonHispanic	909	240,992	94.93	3.26	0.54	3.26±0.54
197	Public relations specialists	1: Total	649	168,127	96.19	2.47	0.64	2.47±0.64
197	Public relations specialists	2: Male	271	72,038	96.13	2.58	1.11	2.58±1.11
197	Public relations specialists	3: Female	378	96,088	96.24	2.39	0.72	2.39±0.72
197	Public relations specialists	4: White	587	152,746	96.05	2.56	0.68	2.56±0.68
197	Public relations specialists	5: Black	48	11,635	97.57	1.00	0.00	1.00±0.00
197	Public relations specialists	6: Other	14	3,746	97.76	1.00	0.00	1.00±0.00
197	Public relations specialists	7: Hispanic	31	8,036	100.00
197	Public relations specialists	8: NonHispanic	618	160,091	96.00	2.47	0.64	2.47±0.64
203	Clinical lab technologists and technicians	1: Total	1,326	328,584	95.28	3.01	0.38	3.01±0.38
203	Clinical lab technologists and technicians	2: Male	293	78,792	97.45	3.19	0.79	3.19±0.79
203	Clinical lab technologists and technicians	3: Female	1,033	249,791	94.60	2.98	0.42	2.98±0.42
203	Clinical lab technologists and technicians	4: White	996	252,780	95.24	2.63	0.30	2.63±0.30
203	Clinical lab technologists and technicians	5: Black	237	50,404	93.56	4.57	1.26	4.57±1.26
203	Clinical lab technologists and technicians	6: Other	93	25,400	99.18	1.00	0.00	1.00±0.00
203	Clinical lab technologists and technicians	7: Hispanic	93	24,898	95.82	1.46	0.25	1.46±0.25
203	Clinical lab technologists and technicians	8: NonHispanic	1,233	303,685	95.24	3.12	0.40	3.12±0.40
206	Radiologic technicians	1: Total	543	137,287	95.22	2.60	0.43	2.60±0.43
206	Radiologic technicians	2: Male	153	41,478	95.44	3.56	1.22	3.56±1.22
206	Radiologic technicians	3: Female	390	95,809	95.13	2.21	0.30	2.21±0.30
206	Radiologic technicians	4: White	478	121,044	95.12	2.21	0.25	2.21±0.25
206	Radiologic technicians	5: Black	48	11,089	94.08	6.11	2.55	6.11±2.55
206	Radiologic technicians	6: Other	17	5,154	100.00
206	Radiologic technicians	7: Hispanic	43	11,059	97.93	3.00	0.00	3.00±0.00
206	Radiologic technicians	8: NonHispanic	500	126,228	94.98	2.59	0.44	2.59±0.44
207	Licensed practical nurses	1: Total	1,851	433,437	91.68	2.83	0.23	2.83±0.23
207	Licensed practical nurses	2: Male	66	18,738	86.86	2.41	0.24	2.41±0.24
207	Licensed practical nurses	3: Female	1,785	414,700	91.89	2.86	0.24	2.86±0.24
207	Licensed practical nurses	4: White	1,375	340,291	91.30	2.92	0.27	2.92±0.27
207	Licensed practical nurses	5: Black	429	80,115	93.46	2.17	0.32	2.17±0.32
207	Licensed practical nurses	6: Other	47	13,031	90.51	3.50	1.40	3.50±1.40
207	Licensed practical nurses	7: Hispanic	92	22,621	87.33	3.06	0.56	3.06±0.56
207	Licensed practical nurses	8: NonHispanic	1,759	410,816	91.92	2.81	0.24	2.81±0.24
208	Health technologists and technicians	1: Total	1,314	330,504	93.41	2.79	0.34	2.79±0.34
208	Health technologists and technicians	2: Male	382	101,316	96.54	2.77	0.96	2.77±0.96
208	Health technologists and technicians	3: Female	932	229,188	92.02	2.79	0.36	2.79±0.36
208	Health technologists and technicians	4: White	1,040	266,221	92.84	2.76	0.37	2.76±0.37
208	Health technologists and technicians	5: Black	205	45,241	95.54	3.33	0.75	3.33±0.75
208	Health technologists and technicians	6: Other	69	19,042	96.23	2.00	0.00	2.00±0.00
208	Health technologists and technicians	7: Hispanic	94	24,937	96.67	1.24	0.23	1.24±0.23
208	Health technologists and technicians	8: NonHispanic	1,220	305,567	93.14	2.85	0.36	2.85±0.36
213	Electrical and electronic technicians	1: Total	1,447	378,968	95.04	2.69	0.35	2.69±0.35
213	Electrical and electronic technicians	2: Male	1,204	320,198	95.39	2.51	0.40	2.51±0.40
213	Electrical and electronic technicians	3: Female	243	58,770	93.17	3.32	0.54	3.32±0.54
213	Electrical and electronic technicians	4: White	1,211	318,155	94.66	2.65	0.38	2.65±0.38
213	Electrical and electronic technicians	5: Black	125	31,406	94.95	2.95	1.18	2.95±1.18
213	Electrical and electronic technicians	6: Other	111	29,407	99.33	4.00	0.00	4.00±0.00
213	Electrical and electronic technicians	7: Hispanic	79	20,080	96.38	1.00	0.00	1.00±0.00
213	Electrical and electronic technicians	8: NonHispanic	1,368	358,888	94.97	2.75	0.37	2.75±0.37
216	Engineering technicians	1: Total	1,023	261,701	95.19	2.37	0.30	2.37±0.30
216	Engineering technicians	2: Male	681	178,622	96.14	2.34	0.43	2.34±0.43
216	Engineering technicians	3: Female	342	83,079	93.15	2.40	0.38	2.40±0.38
216	Engineering technicians	4: White	855	220,821	94.68	2.18	0.28	2.18±0.28
216	Engineering technicians	5: Black	111	25,470	96.72	5.05	0.82	5.05±0.82
216	Engineering technicians	6: Other	57	15,410	100.00
216	Engineering technicians	7: Hispanic	43	10,812	93.55	6.65	2.99	6.65±2.99
216	Engineering technicians	8: NonHispanic	980	250,889	95.26	2.12	0.24	2.12±0.24
217	Drafting occs	1: Total	992	265,437	95.05	2.11	0.25	2.11±0.25
217	Drafting occs	2: Male	794	213,073	95.74	2.01	0.27	2.01±0.27
217	Drafting occs	3: Female	198	52,364	92.24	2.32	0.49	2.32±0.49
217	Drafting occs	4: White	902	243,043	95.59	2.10	0.28	2.10±0.28
217	Drafting occs	5: Black	40	9,474	92.88	1.00	0.00	1.00±0.00
217	Drafting occs	6: Other	50	12,920	86.38	2.58	0.46	2.58±0.46
217	Drafting occs	7: Hispanic	70	19,282	92.95	1.78	0.44	1.78±0.44
217	Drafting occs	8: NonHispanic	922	246,155	95.21	2.14	0.27	2.14±0.27
226	Airplane pilots and navigators	1: Total	407	107,936	97.93	1.54	0.43	1.54±0.43
226	Airplane pilots and navigators	2: Male	395	105,271	98.10	1.60	0.48	1.60±0.48
226	Airplane pilots and navigators	3: Female	12	2,665	91.30	1.00	0.00	1.00±0.00
226	Airplane pilots and navigators	4: White	398	105,231	97.88	1.54	0.43	1.54±0.43
226	Airplane pilots and navigators	5: Black	6	1,735	100.00
226	Airplane pilots and navigators	6: Other	3	970	100.00
226	Airplane pilots and navigators	7: Hispanic	11	3,245	100.00
226	Airplane pilots and navigators	8: NonHispanic	396	104,691	97.87	1.54	0.43	1.54±0.43
229	Computer programmers	1: Total	1,961	515,413	94.09	1.86	0.11	1.86±0.11
229	Computer programmers	2: Male	1,291	345,931	95.27	1.83	0.18	1.83±0.18
229	Computer programmers	3: Female	670	169,482	91.69	1.89	0.15	1.89±0.15
229	Computer programmers	4: White	1,658	441,655	94.22	1.84	0.13	1.84±0.13
229	Computer programmers	5: Black	156	35,443	94.17	1.66	0.25	1.66±0.25
229	Computer programmers	6: Other	147	38,315	92.50	2.17	0.34	2.17±0.34
229	Computer programmers	7: Hispanic	90	23,934	91.14	1.86	0.29	1.85±0.29
229	Computer programmers	8: NonHispanic	1,871	491,479	94.23	1.86	0.11	1.86±0.11
234	Legal assistants	1: Total	945	245,025	94.39	2.06	0.27	2.06±0.27
234	Legal assistants	2: Male	190	51,098	96.26	1.71	0.32	1.71±0.32
234	Legal assistants	3: Female	755	193,927	93.90	2.12	0.30	2.12±0.30
234	Legal assistants	4: White	841	218,530	94.32	1.77	0.14	1.77±0.14
234	Legal assistants	5: Black	71	16,896	94.74	5.29	2.83	5.29±2.83
234	Legal assistants	6: Other	33	9,598	95.36	3.86	2.12	3.86±2.12
234	Legal assistants	7: Hispanic	60	15,187	95.15	2.60	0.51	2.60±0.51
234	Legal assistants	8: NonHispanic	885	229,838	94.34	2.03	0.29	2.03±0.29
235	Technicians	1: Total	1,780	462,626	94.65	2.20	0.19	2.20±0.19
235	Technicians	2: Male	1,230	323,700	95.58	1.75	0.16	1.75±0.16
235	Technicians	3: Female	550	138,926	92.49	2.80	0.38	2.80±0.38
235	Technicians	4: White	1,496	391,624	94.41	2.12	0.21	2.12±0.21
235	Technicians	5: Black	158	36,652	93.82	2.81	0.68	2.81±0.68
235	Technicians	6: Other	126	34,349	98.28	2.88	1.41	2.88±1.41
235	Technicians	7: Hispanic	99	28,281	96.84	1.42	0.35	1.42±0.35
235	Technicians	8: NonHispanic	1,681	434,345	94.51	2.23	0.20	2.23±0.20
243	Supervisors/Proprietors, Sales Occupations	1: Total	13,986	3,596,023	95.97	2.57	0.12	2.57±0.12
243	Supervisors/Proprietors, Sales Occupations	2: Male	8,835	2,315,820	96.55	2.57	0.18	2.57±0.18
243	Supervisors/Proprietors, Sales Occupations	3: Female	5,151	1,280,203	94.92	2.56	0.19	2.56±0.19
243	Supervisors/Proprietors, Sales Occupations	4: White	12,793	3,297,445	95.93	2.56	0.13	2.56±0.13
243	Supervisors/Proprietors, Sales Occupations	5: Black	706	169,165	96.36	2.84	0.40	2.84±0.40
243	Supervisors/Proprietors, Sales Occupations	6: Other	487	129,414	96.61	2.31	0.50	2.31±0.50
243	Supervisors/Proprietors, Sales Occupations	7: Hispanic	751	197,592	95.90	2.29	0.43	2.29±0.43
243	Supervisors/Proprietors, Sales Occupations	8: NonHispanic	13,235	3,398,432	95.98	2.58	0.13	2.58±0.13
253	Insurance sales occs	1: Total	2,576	654,951	95.23	2.66	0.24	2.66±0.24
253	Insurance sales occs	2: Male	1,634	422,637	96.22	2.44	0.30	2.44±0.30
253	Insurance sales occs	3: Female	942	232,314	93.42	2.90	0.37	2.90±0.37
253	Insurance sales occs	4: White	2,337	598,754	95.26	2.74	0.24	2.74±0.24
253	Insurance sales occs	5: Black	179	40,514	94.79	2.22	0.64	2.22±0.64
253	Insurance sales occs	6: Other	60	15,683	95.22	1.00	0.00	1.00±0.00
253	Insurance sales occs	7: Hispanic	116	30,301	91.86	2.49	0.47	2.49±0.47
253	Insurance sales occs	8: NonHispanic	2,460	624,650	95.39	2.68	0.25	2.68±0.25
254	Real estate sales occs	1: Total	3,071	788,281	96.24	3.76	0.43	3.76±0.43
254	Real estate sales occs	2: Male	1,547	401,798	96.60	3.85	0.67	3.85±0.67
254	Real estate sales occs	3: Female	1,524	386,483	95.86	3.68	0.52	3.68±0.52
254	Real estate sales occs	4: White	2,889	740,931	96.07	3.79	0.43	3.79±0.43
254	Real estate sales occs	5: Black	102	24,062	97.65	2.28	0.27	2.28±0.27
254	Real estate sales occs	6: Other	80	23,288	100.00
254	Real estate sales occs	7: Hispanic	122	32,809	97.21	6.57	2.18	6.57±2.18
254	Real estate sales occs	8: NonHispanic	2,949	755,472	96.20	3.67	0.43	3.67±0.43
255	Securities and financial services sales occs	1: Total	1,093	288,542	95.73	2.10	0.24	2.10±0.24
255	Securities and financial services sales occs	2: Male	787	211,164	96.80	2.37	0.37	2.37±0.37
255	Securities and financial services sales occs	3: Female	306	77,378	92.82	1.77	0.25	1.77±0.25
255	Securities and financial services sales occs	4: White	1,000	265,488	95.61	2.13	0.24	2.13±0.24
255	Securities and financial services sales occs	5: Black	64	15,184	95.75	1.50	0.47	1.50±0.47
255	Securities and financial services sales occs	6: Other	29	7,870	100.00
255	Securities and financial services sales occs	7: Hispanic	28	7,195	96.89	1.00	0.00	1.00±0.00
255	Securities and financial services sales occs	8: NonHispanic	1,065	281,347	95.70	2.12	0.24	2.12±0.24
256	Advertising and related sales occs	1: Total	547	142,145	92.49	2.80	0.57	2.80±0.57
256	Advertising and related sales occs	2: Male	269	71,964	94.25	3.12	1.17	3.12±1.17
256	Advertising and related sales occs	3: Female	278	70,181	90.69	2.60	0.56	2.60±0.56
256	Advertising and related sales occs	4: White	511	133,280	92.18	2.54	0.52	2.54±0.52
256	Advertising and related sales occs	5: Black	27	6,644	96.34	14.00	0.00	14.00±0.00
256	Advertising and related sales occs	6: Other	9	2,222	100.00
256	Advertising and related sales occs	7: Hispanic	20	4,887	95.79	1.00	0.00	1.00±0.00
256	Advertising and related sales occs	8: NonHispanic	527	137,258	92.38	2.84	0.58	2.84±0.58
257	Sales occs, other business services	1: Total	1,500	393,028	94.40	2.42	0.32	2.42±0.32
257	Sales occs, other business services	2: Male	944	252,718	95.36	1.94	0.18	1.94±0.18
257	Sales occs, other business services	3: Female	556	140,309	92.69	2.98	0.61	2.98±0.61
257	Sales occs, other business services	4: White	1,385	364,858	94.44	2.44	0.34	2.44±0.34
257	Sales occs, other business services	5: Black	86	19,777	92.67	2.26	0.41	2.26±0.41
257	Sales occs, other business services	6: Other	29	8,392	97.02	2.00	0.00	2.00±0.00
257	Sales occs, other business services	7: Hispanic	83	20,971	91.45	3.00	1.38	3.00±1.38
257	Sales occs, other business services	8: NonHispanic	1,417	372,057	94.57	2.37	0.32	2.37±0.32
259	Sales reps, mining/manufact/wholesale	1: Total	5,013	1,305,211	96.34	2.38	0.19	2.38±0.19
259	Sales reps, mining/manufact/wholesale	2: Male	3,833	1,004,909	96.96	2.30	0.25	2.30±0.25
259	Sales reps, mining/manufact/wholesale	3: Female	1,180	300,302	94.26	2.51	0.26	2.51±0.26
259	Sales reps, mining/manufact/wholesale	4: White	4,750	1,240,419	96.37	2.36	0.19	2.36±0.19
259	Sales reps, mining/manufact/wholesale	5: Black	170	39,789	94.06	2.98	1.47	2.98±1.47
259	Sales reps, mining/manufact/wholesale	6: Other	93	25,003	98.32	1.00	0.00	1.00±0.00
259	Sales reps, mining/manufact/wholesale	7: Hispanic	232	58,984	92.75	2.19	0.47	2.19±0.47
259	Sales reps, mining/manufact/wholesale	8: NonHispanic	4,781	1,246,227	96.51	2.40	0.19	2.40±0.19
263	Sales workers, motor vehicles and boats	1: Total	991	255,606	96.83	3.62	0.67	3.62±0.67
263	Sales workers, motor vehicles and boats	2: Male	936	241,931	97.36	3.46	0.80	3.45±0.80
263	Sales workers, motor vehicles and boats	3: Female	55	13,676	87.47	4.25	1.21	4.25±1.21
263	Sales workers, motor vehicles and boats	4: White	936	240,349	96.98	3.40	0.69	3.40±0.69
263	Sales workers, motor vehicles and boats	5: Black	41	11,496	98.30	6.00	0.00	6.00±0.00
263	Sales workers, motor vehicles and boats	6: Other	14	3,761	83.19	5.50	3.22	5.50±3.22
263	Sales workers, motor vehicles and boats	7: Hispanic	59	14,878	98.52	1.00	0.00	1.00±0.00
263	Sales workers, motor vehicles and boats	8: NonHispanic	932	240,729	96.73	3.70	0.67	3.70±0.67
264	Sales workers, apparel	1: Total	1,169	296,930	94.50	2.16	0.25	2.16±0.25
264	Sales workers, apparel	2: Male	196	53,627	97.45	1.55	0.25	1.55±0.25
264	Sales workers, apparel	3: Female	973	243,303	93.86	2.22	0.27	2.22±0.27
264	Sales workers, apparel	4: White	1,001	258,828	94.73	2.12	0.26	2.12±0.26
264	Sales workers, apparel	5: Black	127	27,636	93.64	1.63	0.17	1.63±0.17
264	Sales workers, apparel	6: Other	41	10,465	91.19	3.82	1.83	3.82±1.83
264	Sales workers, apparel	7: Hispanic	124	32,386	95.93	2.19	0.55	2.19±0.55
264	Sales workers, apparel	8: NonHispanic	1,045	264,544	94.33	2.16	0.28	2.16±0.28
266	Sales workers, furniture and home furnishings	1: Total	402	105,818	96.36	2.23	0.70	2.23±0.70
266	Sales workers, furniture and home furnishings	2: Male	213	54,694	96.07	2.80	1.23	2.80±1.23
266	Sales workers, furniture and home furnishings	3: Female	189	51,124	96.66	1.51	0.21	1.51±0.21
266	Sales workers, furniture and home furnishings	4: White	372	99,018	96.84	2.28	0.86	2.28±0.86
266	Sales workers, furniture and home furnishings	5: Black	22	4,966	85.39	2.00	0.00	2.00±0.00
266	Sales workers, furniture and home furnishings	6: Other	8	1,833	100.00
266	Sales workers, furniture and home furnishings	7: Hispanic	30	7,845	100.00
266	Sales workers, furniture and home furnishings	8: NonHispanic	372	97,973	96.07	2.23	0.70	2.23±0.70
267	Sales workers, radio, TV, hi-fi and appliances	1: Total	452	119,117	96.28	2.36	0.71	2.36±0.71
267	Sales workers, radio, TV, hi-fi and appliances	2: Male	345	91,775	97.50	3.23	1.27	3.23±1.27
267	Sales workers, radio, TV, hi-fi and appliances	3: Female	107	27,342	92.18	1.42	0.25	1.42±0.25
267	Sales workers, radio, TV, hi-fi and appliances	4: White	403	107,942	95.89	2.36	0.71	2.36±0.71
267	Sales workers, radio, TV, hi-fi and appliances	5: Black	33	6,979	100.00
267	Sales workers, radio, TV, hi-fi and appliances	6: Other	16	4,196	100.00
267	Sales workers, radio, TV, hi-fi and appliances	7: Hispanic	21	6,412	96.40	1.00	0.00	1.00±0.00
267	Sales workers, radio, TV, hi-fi and appliances	8: NonHispanic	431	112,705	96.27	2.43	0.75	2.43±0.75
268	Sales workers, hardware and building supplies	1: Total	444	116,569	96.47	3.80	1.26	3.80±1.26
268	Sales workers, hardware and building supplies	2: Male	350	92,969	96.04	4.07	1.39	4.07±1.39
268	Sales workers, hardware and building supplies	3: Female	94	23,600	98.13	1.54	0.35	1.54±0.35
268	Sales workers, hardware and building supplies	4: White	428	112,288	96.33	3.80	1.26	3.80±1.26
268	Sales workers, hardware and building supplies	5: Black	11	2,839	100.00
268	Sales workers, hardware and building supplies	6: Other	5	1,442	100.00
268	Sales workers, hardware and building supplies	7: Hispanic	14	3,475	92.49	1.00	0.00	1.00±0.00
268	Sales workers, hardware and building supplies	8: NonHispanic	430	113,094	96.59	3.99	1.31	3.99±1.31
269	Sales workers, parts	1: Total	525	138,870	96.94	2.78	0.76	2.78±0.76
269	Sales workers, parts	2: Male	474	125,177	96.60	2.78	0.76	2.78±0.76
269	Sales workers, parts	3: Female	51	13,693	100.00
269	Sales workers, parts	4: White	492	129,759	97.32	1.69	0.35	1.69±0.35
269	Sales workers, parts	5: Black	26	7,235	89.19	7.61	2.31	7.61±2.31
269	Sales workers, parts	6: Other	7	1,876	100.00
269	Sales workers, parts	7: Hispanic	32	8,300	96.55	1.00	0.00	1.00±0.00
269	Sales workers, parts	8: NonHispanic	493	130,569	96.96	2.91	0.79	2.91±0.79
274	Sales workers, other commodities	1: Total	8,281	2,118,672	94.94	2.76	0.16	2.76±0.16
274	Sales workers, other commodities	2: Male	2,889	764,573	95.85	2.51	0.29	2.51±0.29
274	Sales workers, other commodities	3: Female	5,392	1,354,099	94.42	2.86	0.20	2.86±0.20
274	Sales workers, other commodities	4: White	7,370	1,900,230	94.89	2.74	0.17	2.74±0.17
274	Sales workers, other commodities	5: Black	650	142,383	95.47	3.01	0.53	3.01±0.53
274	Sales workers, other commodities	6: Other	261	76,059	95.14	2.88	1.04	2.88±1.04
274	Sales workers, other commodities	7: Hispanic	537	137,695	93.77	2.75	0.63	2.75±0.63
274	Sales workers, other commodities	8: NonHispanic	7,744	1,980,977	95.02	2.76	0.16	2.76±0.16
275	Sales counter clerks	1: Total	715	182,795	95.27	2.71	0.60	2.71±0.60
275	Sales counter clerks	2: Male	234	62,397	96.06	3.32	1.53	3.32±1.53
275	Sales counter clerks	3: Female	481	120,397	94.86	2.47	0.55	2.47±0.55
275	Sales counter clerks	4: White	556	145,649	94.79	2.65	0.68	2.65±0.68
275	Sales counter clerks	5: Black	87	18,053	95.48	2.98	0.61	2.98±0.61
275	Sales counter clerks	6: Other	72	19,093	98.78	4.00	0.00	4.00±0.00
275	Sales counter clerks	7: Hispanic	63	17,033	97.23	3.46	0.35	3.46±0.35
275	Sales counter clerks	8: NonHispanic	652	165,762	95.07	2.67	0.64	2.67±0.64
276	Cashiers	1: Total	8,164	2,043,195	94.41	2.65	0.12	2.65±0.12
276	Cashiers	2: Male	1,384	361,042	95.60	2.83	0.33	2.83±0.33
276	Cashiers	3: Female	6,780	1,682,152	94.15	2.62	0.13	2.62±0.13
276	Cashiers	4: White	6,314	1,619,868	94.30	2.59	0.15	2.58±0.15
276	Cashiers	5: Black	1,444	312,261	94.07	2.96	0.23	2.96±0.23
276	Cashiers	6: Other	406	111,066	96.90	2.67	0.73	2.67±0.73
276	Cashiers	7: Hispanic	743	187,024	94.19	3.48	0.46	3.48±0.46
276	Cashiers	8: NonHispanic	7,421	1,856,171	94.43	2.56	0.13	2.56±0.13
277	Street and door-to-door sales workers	1: Total	1,084	276,408	92.84	3.14	0.33	3.14±0.33
277	Street and door-to-door sales workers	2: Male	258	68,964	97.17	2.68	0.96	2.68±0.96
277	Street and door-to-door sales workers	3: Female	826	207,444	91.40	3.20	0.36	3.20±0.36
277	Street and door-to-door sales workers	4: White	973	251,242	92.81	3.03	0.32	3.03±0.32
277	Street and door-to-door sales workers	5: Black	96	21,783	92.13	4.31	1.65	4.31±1.65
277	Street and door-to-door sales workers	6: Other	15	3,383	100.00
277	Street and door-to-door sales workers	7: Hispanic	73	18,747	96.18	2.32	0.27	2.32±0.27
277	Street and door-to-door sales workers	8: NonHispanic	1,011	257,661	92.60	3.18	0.34	3.18±0.34
303	Supervisors, general office	1: Total	1,807	456,019	94.21	2.83	0.29	2.83±0.29
303	Supervisors, general office	2: Male	471	127,692	95.59	2.42	0.52	2.42±0.52
303	Supervisors, general office	3: Female	1,336	328,327	93.67	2.94	0.35	2.94±0.35
303	Supervisors, general office	4: White	1,542	393,770	94.32	2.76	0.29	2.76±0.29
303	Supervisors, general office	5: Black	210	47,377	92.98	3.40	1.14	3.40±1.14
303	Supervisors, general office	6: Other	55	14,872	95.08	2.53	0.77	2.53±0.77
303	Supervisors, general office	7: Hispanic	100	26,940	95.52	2.02	0.28	2.02±0.28
303	Supervisors, general office	8: NonHispanic	1,707	429,079	94.13	2.87	0.31	2.87±0.31
307	Supervisors, distribution, scheduling, and adjusting clerks	1: Total	706	177,953	96.22	3.19	0.66	3.19±0.66
307	Supervisors, distribution, scheduling, and adjusting clerks	2: Male	461	119,950	96.22	2.74	0.68	2.74±0.68
307	Supervisors, distribution, scheduling, and adjusting clerks	3: Female	245	58,003	96.24	4.13	1.42	4.13±1.42
307	Supervisors, distribution, scheduling, and adjusting clerks	4: White	561	145,138	96.80	3.11	0.74	3.11±0.74
307	Supervisors, distribution, scheduling, and adjusting clerks	5: Black	128	28,601	94.38	3.89	1.64	3.89±1.64
307	Supervisors, distribution, scheduling, and adjusting clerks	6: Other	17	4,214	88.99	1.54	0.35	1.54±0.35
307	Supervisors, distribution, scheduling, and adjusting clerks	7: Hispanic	49	12,491	100.00
307	Supervisors, distribution, scheduling, and adjusting clerks	8: NonHispanic	657	165,462	95.94	3.19	0.66	3.19±0.66
308	Computer operators	1: Total	2,629	659,841	94.12	2.79	0.26	2.79±0.26
308	Computer operators	2: Male	880	234,917	95.03	2.86	0.54	2.86±0.54
308	Computer operators	3: Female	1,749	424,925	93.61	2.76	0.29	2.76±0.29
308	Computer operators	4: White	2,105	543,263	94.49	2.56	0.26	2.56±0.26
308	Computer operators	5: Black	436	92,859	92.53	3.72	0.86	3.72±0.86
308	Computer operators	6: Other	88	23,719	91.67	2.98	0.71	2.98±0.71
308	Computer operators	7: Hispanic	159	42,368	98.10	4.97	3.77	4.97±3.77
308	Computer operators	8: NonHispanic	2,470	617,473	93.84	2.74	0.25	2.74±0.25
313	Secretaries	1: Total	15,276	3,828,302	93.85	2.52	0.10	2.52±0.10
313	Secretaries	2: Male	183	46,281	96.02	1.89	0.38	1.89±0.38
313	Secretaries	3: Female	15,093	3,782,021	93.82	2.52	0.11	2.52±0.11
313	Secretaries	4: White	13,564	3,453,562	94.03	2.52	0.12	2.52±0.12
313	Secretaries	5: Black	1,418	290,884	91.87	2.60	0.20	2.60±0.20
313	Secretaries	6: Other	294	83,856	93.28	2.17	0.50	2.17±0.50
313	Secretaries	7: Hispanic	890	229,081	94.51	2.40	0.37	2.40±0.37
313	Secretaries	8: NonHispanic	14,386	3,599,220	93.80	2.52	0.11	2.52±0.11
315	Typists	1: Total	2,109	515,090	94.00	2.49	0.23	2.49±0.23
315	Typists	2: Male	109	28,810	93.77	1.59	0.41	1.59±0.41
315	Typists	3: Female	2,000	486,281	94.01	2.55	0.24	2.55±0.24
315	Typists	4: White	1,587	407,125	94.32	2.37	0.27	2.37±0.27
315	Typists	5: Black	445	88,156	92.68	3.16	0.48	3.16±0.48
315	Typists	6: Other	77	19,809	93.34	1.31	0.23	1.31±0.23
315	Typists	7: Hispanic	153	36,679	95.65	2.40	0.59	2.40±0.59
315	Typists	8: NonHispanic	1,956	478,411	93.87	2.50	0.24	2.50±0.24
316	Interviewers	1: Total	581	146,720	94.14	2.55	0.51	2.55±0.51
316	Interviewers	2: Male	69	18,133	94.72	3.21	0.67	3.21±0.67
316	Interviewers	3: Female	512	128,587	94.06	2.46	0.57	2.46±0.57
316	Interviewers	4: White	479	126,116	94.37	2.69	0.59	2.69±0.59
316	Interviewers	5: Black	92	18,343	94.91	2.00	0.54	2.00±0.54
316	Interviewers	6: Other	10	2,261	74.95	1.62	0.33	1.62±0.33
316	Interviewers	7: Hispanic	38	9,918	95.76	3.34	0.32	3.34±0.32
316	Interviewers	8: NonHispanic	543	136,801	94.02	2.51	0.54	2.51±0.54
318	Transportation ticket and reservation agents	1: Total	642	164,670	96.06	2.54	0.34	2.54±0.34
318	Transportation ticket and reservation agents	2: Male	214	56,559	97.57	2.13	0.69	2.13±0.69
318	Transportation ticket and reservation agents	3: Female	428	108,111	95.27	2.65	0.39	2.65±0.39
318	Transportation ticket and reservation agents	4: White	533	138,098	96.03	2.44	0.33	2.44±0.33
318	Transportation ticket and reservation agents	5: Black	80	18,274	98.26	5.95	2.41	5.95±2.41
318	Transportation ticket and reservation agents	6: Other	29	8,299	91.69	1.75	0.66	1.75±0.66
318	Transportation ticket and reservation agents	7: Hispanic	54	13,923	92.12	1.62	0.17	1.62±0.17
318	Transportation ticket and reservation agents	8: NonHispanic	588	150,747	96.42	2.72	0.39	2.72±0.39
319	Receptionists	1: Total	3,010	747,566	93.60	2.34	0.18	2.34±0.18
319	Receptionists	2: Male	99	26,737	92.37	2.18	0.44	2.18±0.44
319	Receptionists	3: Female	2,911	720,830	93.64	2.35	0.19	2.35±0.19
319	Receptionists	4: White	2,649	671,925	93.66	2.25	0.16	2.25±0.16
319	Receptionists	5: Black	294	57,688	92.33	3.37	0.62	3.37±0.62
319	Receptionists	6: Other	67	17,953	95.13	1.74	0.24	1.74±0.24
319	Receptionists	7: Hispanic	270	70,963	90.76	2.07	0.36	2.07±0.36
319	Receptionists	8: NonHispanic	2,740	676,603	93.89	2.39	0.20	2.39±0.20
327	Order clerks	1: Total	735	183,515	94.15	3.46	0.71	3.46±0.71
327	Order clerks	2: Male	183	48,147	95.78	1.52	0.27	1.52±0.27
327	Order clerks	3: Female	552	135,368	93.57	3.91	0.86	3.91±0.86
327	Order clerks	4: White	596	153,766	93.90	3.39	0.73	3.39±0.73
327	Order clerks	5: Black	125	25,840	94.73	3.93	2.35	3.93±2.35
327	Order clerks	6: Other	14	3,910	100.00
327	Order clerks	7: Hispanic	54	14,429	92.11	3.15	0.97	3.15±0.97
327	Order clerks	8: NonHispanic	681	169,086	94.32	3.49	0.76	3.49±0.76
329	Library clerks	1: Total	491	125,725	93.50	2.50	0.68	2.50±0.68
329	Library clerks	2: Male	96	27,366	92.82	4.99	2.43	4.99±2.43
329	Library clerks	3: Female	395	98,359	93.70	1.71	0.15	1.71±0.15
329	Library clerks	4: White	392	100,948	94.31	2.62	0.96	2.62±0.96
329	Library clerks	5: Black	68	15,408	90.96	1.72	0.47	1.72±0.47
329	Library clerks	6: Other	31	9,369	88.96	2.89	0.43	2.89±0.43
329	Library clerks	7: Hispanic	36	10,207	97.83	1.00	0.00	1.00±0.00
329	Library clerks	8: NonHispanic	455	115,518	93.12	2.55	0.69	2.55±0.69
335	File clerks	1: Total	790	193,069	94.29	1.98	0.15	1.98±0.15
335	File clerks	2: Male	165	40,157	96.66	1.87	0.33	1.87±0.33
335	File clerks	3: Female	625	152,912	93.67	2.00	0.17	1.99±0.17
335	File clerks	4: White	575	147,502	94.42	1.98	0.19	1.98±0.19
335	File clerks	5: Black	177	35,931	93.57	2.19	0.16	2.19±0.16
335	File clerks	6: Other	38	9,636	94.95	1.00	0.00	1.00±0.00
335	File clerks	7: Hispanic	76	19,217	92.94	1.81	0.44	1.81±0.44
335	File clerks	8: NonHispanic	714	173,853	94.44	2.00	0.15	2.00±0.15
336	Records clerks	1: Total	645	159,184	93.93	2.64	0.26	2.64±0.26
336	Records clerks	2: Male	128	34,088	97.23	2.66	0.40	2.66±0.40
336	Records clerks	3: Female	517	125,096	93.03	2.64	0.29	2.64±0.29
336	Records clerks	4: White	518	133,291	94.06	2.47	0.29	2.47±0.29
336	Records clerks	5: Black	102	19,718	94.63	3.94	0.90	3.94±0.90
336	Records clerks	6: Other	25	6,175	88.92	2.56	0.35	2.56±0.35
336	Records clerks	7: Hispanic	51	11,973	89.32	1.32	0.22	1.32±0.22
336	Records clerks	8: NonHispanic	594	147,211	94.31	2.84	0.29	2.84±0.29
337	Bookkeepers, accounting, and auditing clerks	1: Total	7,239	1,817,127	94.64	2.60	0.15	2.60±0.15
337	Bookkeepers, accounting, and auditing clerks	2: Male	622	163,476	95.52	3.37	0.62	3.37±0.62
337	Bookkeepers, accounting, and auditing clerks	3: Female	6,617	1,653,650	94.55	2.53	0.15	2.53±0.15
337	Bookkeepers, accounting, and auditing clerks	4: White	6,542	1,651,362	94.53	2.64	0.16	2.64±0.16
337	Bookkeepers, accounting, and auditing clerks	5: Black	446	97,144	94.83	2.28	0.33	2.28±0.33
337	Bookkeepers, accounting, and auditing clerks	6: Other	251	68,621	96.92	1.54	0.50	1.54±0.50
337	Bookkeepers, accounting, and auditing clerks	7: Hispanic	360	90,453	92.76	1.92	0.43	1.92±0.43
337	Bookkeepers, accounting, and auditing clerks	8: NonHispanic	6,879	1,726,674	94.74	2.64	0.16	2.64±0.16
338	Payroll and timekeeping clerks	1: Total	605	150,511	93.61	2.14	0.35	2.14±0.35
338	Payroll and timekeeping clerks	2: Male	63	15,990	97.60	1.00	0.00	1.00±0.00
338	Payroll and timekeeping clerks	3: Female	542	134,521	93.14	2.18	0.35	2.18±0.35
338	Payroll and timekeeping clerks	4: White	508	129,718	93.37	2.08	0.39	2.08±0.39
338	Payroll and timekeeping clerks	5: Black	75	14,808	97.69	3.18	0.84	3.18±0.84
338	Payroll and timekeeping clerks	6: Other	22	5,985	88.72	2.36	0.28	2.36±0.28
338	Payroll and timekeeping clerks	7: Hispanic	39	9,273	95.16	1.00	0.00	1.00±0.00
338	Payroll and timekeeping clerks	8: NonHispanic	566	141,237	93.51	2.19	0.37	2.19±0.37
339	Billing clerks	1: Total	657	165,608	93.25	2.33	0.30	2.33±0.30
339	Billing clerks	2: Male	55	15,055	94.98	6.95	2.54	6.95±2.54
339	Billing clerks	3: Female	602	150,553	93.08	2.00	0.19	2.00±0.19
339	Billing clerks	4: White	557	143,857	93.41	2.28	0.34	2.28±0.34
339	Billing clerks	5: Black	76	15,636	95.07	2.02	0.53	2.02±0.53
339	Billing clerks	6: Other	24	6,115	84.85	3.13	0.87	3.13±0.87
339	Billing clerks	7: Hispanic	33	8,191	94.81	3.93	1.41	3.93±1.41
339	Billing clerks	8: NonHispanic	624	157,417	93.17	2.27	0.30	2.27±0.30
348	Telephone operators	1: Total	795	195,396	92.27	3.00	0.32	2.99±0.32
348	Telephone operators	2: Male	76	20,290	94.45	2.65	0.51	2.65±0.51
348	Telephone operators	3: Female	719	175,105	92.02	3.02	0.35	3.02±0.35
348	Telephone operators	4: White	582	149,302	92.74	2.60	0.29	2.60±0.29
348	Telephone operators	5: Black	187	38,556	92.51	3.51	0.85	3.51±0.85
348	Telephone operators	6: Other	26	7,537	81.90	5.05	1.29	5.05±1.29
348	Telephone operators	7: Hispanic	43	11,184	93.49	1.31	0.26	1.31±0.26
348	Telephone operators	8: NonHispanic	752	184,211	92.20	3.08	0.34	3.08±0.34
354	Postal clerks, except mail carriers	1: Total	1,317	310,003	92.47	2.77	0.26	2.77±0.26
354	Postal clerks, except mail carriers	2: Male	697	170,471	94.17	2.37	0.37	2.37±0.37
354	Postal clerks, except mail carriers	3: Female	620	139,532	90.40	3.07	0.37	3.07±0.37
354	Postal clerks, except mail carriers	4: White	834	207,923	93.10	2.42	0.27	2.42±0.27
354	Postal clerks, except mail carriers	5: Black	405	82,256	90.79	3.45	0.64	3.45±0.64
354	Postal clerks, except mail carriers	6: Other	78	19,824	92.94	2.75	0.34	2.75±0.34
354	Postal clerks, except mail carriers	7: Hispanic	86	21,022	87.02	2.68	0.75	2.68±0.75
354	Postal clerks, except mail carriers	8: NonHispanic	1,231	288,981	92.87	2.79	0.29	2.79±0.29
355	Mail carriers, postal service	1: Total	1,216	303,415	94.92	2.66	0.37	2.66±0.37
355	Mail carriers, postal service	2: Male	858	217,151	95.43	2.39	0.39	2.39±0.39
355	Mail carriers, postal service	3: Female	358	86,263	93.61	3.16	0.75	3.16±0.75
355	Mail carriers, postal service	4: White	1,003	251,840	95.65	2.59	0.36	2.59±0.36
355	Mail carriers, postal service	5: Black	173	39,538	93.78	4.26	1.50	4.26±1.50
355	Mail carriers, postal service	6: Other	40	12,037	83.33	1.11	0.10	1.11±0.10
355	Mail carriers, postal service	7: Hispanic	80	21,353	92.07	1.99	0.32	1.99±0.32
355	Mail carriers, postal service	8: NonHispanic	1,136	282,061	95.13	2.75	0.41	2.75±0.41
356	Mail clerks, except postal service	1: Total	715	178,110	95.87	2.24	0.38	2.24±0.38
356	Mail clerks, except postal service	2: Male	384	101,596	96.68	1.84	0.28	1.84±0.28
356	Mail clerks, except postal service	3: Female	331	76,514	94.79	2.58	0.70	2.58±0.70
356	Mail clerks, except postal service	4: White	513	134,186	95.93	2.39	0.49	2.39±0.49
356	Mail clerks, except postal service	5: Black	180	38,112	96.68	1.72	0.46	1.72±0.46
356	Mail clerks, except postal service	6: Other	22	5,812	89.21	2.00	0.00	2.00±0.00
356	Mail clerks, except postal service	7: Hispanic	66	18,429	95.98	1.67	0.25	1.67±0.25
356	Mail clerks, except postal service	8: NonHispanic	649	159,682	95.86	2.30	0.42	2.30±0.42
357	Messengers	1: Total	487	123,316	94.75	2.80	0.54	2.80±0.54
357	Messengers	2: Male	368	94,001	94.83	2.95	0.61	2.95±0.61
357	Messengers	3: Female	119	29,314	94.51	2.34	1.11	2.34±1.11
357	Messengers	4: White	379	100,817	94.04	2.89	0.59	2.89±0.59
357	Messengers	5: Black	92	18,180	97.47	1.51	0.31	1.51±0.31
357	Messengers	6: Other	16	4,319	100.00
357	Messengers	7: Hispanic	48	12,004	89.59	3.84	1.80	3.84±1.80
357	Messengers	8: NonHispanic	439	111,312	95.31	2.55	0.49	2.55±0.49
359	Dispatchers	1: Total	724	180,789	92.72	2.73	0.32	2.73±0.32
359	Dispatchers	2: Male	357	91,223	96.50	2.67	0.50	2.67±0.50
359	Dispatchers	3: Female	367	89,566	88.86	2.75	0.39	2.75±0.39
359	Dispatchers	4: White	639	162,937	92.92	2.78	0.34	2.78±0.34
359	Dispatchers	5: Black	72	14,936	91.89	2.52	0.79	2.52±0.79
359	Dispatchers	6: Other	13	2,916	85.48	2.00	0.00	2.00±0.00
359	Dispatchers	7: Hispanic	40	10,432	93.71	2.31	0.62	2.31±0.62
359	Dispatchers	8: NonHispanic	684	170,357	92.66	2.75	0.34	2.75±0.34
363	Production coordinators	1: Total	813	204,210	95.20	3.53	0.71	3.53±0.71
363	Production coordinators	2: Male	423	109,596	95.25	4.12	1.14	4.12±1.14
363	Production coordinators	3: Female	390	94,614	95.14	2.86	0.69	2.86±0.69
363	Production coordinators	4: White	723	184,024	95.18	3.33	0.72	3.33±0.72
363	Production coordinators	5: Black	68	15,000	95.31	2.57	0.50	2.57±0.50
363	Production coordinators	6: Other	22	5,187	95.57	14.00	0.00	14.00±0.00
363	Production coordinators	7: Hispanic	35	8,866	88.13	1.95	0.54	1.95±0.54
363	Production coordinators	8: NonHispanic	778	195,344	95.52	3.72	0.78	3.72±0.78
364	Traffic, shipping, and receiving clerks	1: Total	2,034	531,212	95.26	2.69	0.31	2.69±0.31
364	Traffic, shipping, and receiving clerks	2: Male	1,447	384,452	95.68	3.17	0.47	3.17±0.47
364	Traffic, shipping, and receiving clerks	3: Female	587	146,759	94.17	1.77	0.21	1.77±0.21
364	Traffic, shipping, and receiving clerks	4: White	1,640	434,475	94.99	2.52	0.33	2.52±0.33
364	Traffic, shipping, and receiving clerks	5: Black	332	77,426	96.57	4.44	1.60	4.44±1.60
364	Traffic, shipping, and receiving clerks	6: Other	62	19,310	96.15	1.65	0.32	1.65±0.32
364	Traffic, shipping, and receiving clerks	7: Hispanic	207	57,292	94.44	1.93	0.28	1.93±0.28
364	Traffic, shipping, and receiving clerks	8: NonHispanic	1,827	473,920	95.36	2.80	0.35	2.80±0.35
365	Stock and inventory clerks	1: Total	2,303	585,833	95.43	2.78	0.25	2.78±0.25
365	Stock and inventory clerks	2: Male	1,359	355,972	96.86	2.38	0.29	2.38±0.29
365	Stock and inventory clerks	3: Female	944	229,861	93.20	3.07	0.38	3.07±0.38
365	Stock and inventory clerks	4: White	1,863	483,956	95.57	2.63	0.27	2.63±0.27
365	Stock and inventory clerks	5: Black	366	81,578	95.14	3.81	0.96	3.81±0.96
365	Stock and inventory clerks	6: Other	74	20,299	93.18	2.17	0.16	2.17±0.16
365	Stock and inventory clerks	7: Hispanic	198	49,932	95.06	1.46	0.25	1.46±0.25
365	Stock and inventory clerks	8: NonHispanic	2,105	535,901	95.46	2.92	0.28	2.92±0.28
373	Expediters	1: Total	666	169,140	94.71	2.35	0.38	2.35±0.38
373	Expediters	2: Male	218	58,752	95.78	2.38	0.47	2.38±0.47
373	Expediters	3: Female	448	110,388	94.14	2.34	0.49	2.34±0.49
373	Expediters	4: White	554	143,787	94.97	2.29	0.47	2.29±0.47
373	Expediters	5: Black	93	20,203	91.52	2.61	0.56	2.61±0.56
373	Expediters	6: Other	19	5,150	100.00
373	Expediters	7: Hispanic	50	13,687	93.71	1.72	0.28	1.72±0.28
373	Expediters	8: NonHispanic	616	155,453	94.80	2.42	0.42	2.42±0.42
375	Insurance adjusters, examiners, and investigators	1: Total	1,228	304,227	93.74	2.70	0.34	2.70±0.34
375	Insurance adjusters, examiners, and investigators	2: Male	336	88,079	95.26	3.26	0.91	3.26±0.91
375	Insurance adjusters, examiners, and investigators	3: Female	892	216,148	93.12	2.55	0.33	2.55±0.33
375	Insurance adjusters, examiners, and investigators	4: White	1,019	258,407	94.06	2.84	0.41	2.84±0.41
375	Insurance adjusters, examiners, and investigators	5: Black	176	37,062	93.07	2.22	0.49	2.22±0.49
375	Insurance adjusters, examiners, and investigators	6: Other	33	8,758	87.08	2.01	0.39	2.01±0.39
375	Insurance adjusters, examiners, and investigators	7: Hispanic	75	18,714	97.50	14.00	0.00	14.00±0.00
375	Insurance adjusters, examiners, and investigators	8: NonHispanic	1,153	285,513	93.49	2.42	0.29	2.42±0.29
376	Investigators and adjusters, except insurance	1: Total	2,527	636,942	94.22	2.39	0.18	2.39±0.18
376	Investigators and adjusters, except insurance	2: Male	623	163,828	97.45	2.59	0.32	2.59±0.32
376	Investigators and adjusters, except insurance	3: Female	1,904	473,114	93.11	2.36	0.20	2.36±0.20
376	Investigators and adjusters, except insurance	4: White	2,127	544,471	93.99	2.39	0.20	2.39±0.20
376	Investigators and adjusters, except insurance	5: Black	324	73,460	95.15	2.57	0.39	2.57±0.39
376	Investigators and adjusters, except insurance	6: Other	76	19,011	97.30	1.00	0.00	1.00±0.00
376	Investigators and adjusters, except insurance	7: Hispanic	182	45,242	93.19	3.58	1.05	3.58±1.05
376	Investigators and adjusters, except insurance	8: NonHispanic	2,345	591,700	94.30	2.28	0.18	2.28±0.18
378	Bill and account collectors	1: Total	519	133,916	91.34	2.86	0.42	2.86±0.42
378	Bill and account collectors	2: Male	180	48,058	97.63	2.03	0.53	2.03±0.53
378	Bill and account collectors	3: Female	339	85,858	87.82	2.96	0.47	2.96±0.46
378	Bill and account collectors	4: White	438	114,532	91.53	2.53	0.29	2.53±0.29
378	Bill and account collectors	5: Black	72	17,327	91.99	3.11	1.56	3.11±1.56
378	Bill and account collectors	6: Other	9	2,057	75.39	8.52	4.48	8.52±4.48
378	Bill and account collectors	7: Hispanic	51	11,787	91.10	2.04	0.58	2.04±0.58
378	Bill and account collectors	8: NonHispanic	468	122,129	91.37	2.95	0.48	2.95±0.48
379	General office clerks	1: Total	4,708	1,187,412	94.24	2.70	0.17	2.70±0.17
379	General office clerks	2: Male	804	217,103	95.29	3.16	0.60	3.16±0.60
379	General office clerks	3: Female	3,904	970,309	94.00	2.62	0.17	2.62±0.17
379	General office clerks	4: White	3,819	992,097	94.22	2.75	0.20	2.75±0.20
379	General office clerks	5: Black	714	147,483	93.74	2.71	0.33	2.71±0.33
379	General office clerks	6: Other	175	47,832	96.12	1.32	0.20	1.32±0.20
379	General office clerks	7: Hispanic	367	93,915	93.31	2.31	0.26	2.31±0.26
379	General office clerks	8: NonHispanic	4,341	1,093,497	94.32	2.74	0.18	2.74±0.18
383	Bank tellers	1: Total	1,791	452,802	94.65	2.51	0.23	2.51±0.23
383	Bank tellers	2: Male	150	39,851	96.05	1.72	0.29	1.72±0.29
383	Bank tellers	3: Female	1,641	412,951	94.52	2.57	0.24	2.57±0.24
383	Bank tellers	4: White	1,524	391,439	94.13	2.50	0.24	2.50±0.24
383	Bank tellers	5: Black	204	43,808	97.75	3.21	0.86	3.21±0.86
383	Bank tellers	6: Other	63	17,555	98.69	1.00	0.00	1.00±0.00
383	Bank tellers	7: Hispanic	132	34,169	97.19	5.39	2.69	5.39±2.69
383	Bank tellers	8: NonHispanic	1,659	418,633	94.45	2.40	0.19	2.40±0.19
385	Data-entry keyers	1: Total	2,007	485,635	93.28	2.28	0.24	2.28±0.24
385	Data-entry keyers	2: Male	284	73,725	94.62	1.85	0.36	1.85±0.36
385	Data-entry keyers	3: Female	1,723	411,909	93.04	2.33	0.27	2.33±0.27
385	Data-entry keyers	4: White	1,453	365,475	92.59	2.20	0.22	2.20±0.22
385	Data-entry keyers	5: Black	448	91,883	95.94	3.22	0.77	3.22±0.77
385	Data-entry keyers	6: Other	106	28,277	93.50	1.42	0.16	1.42±0.16
385	Data-entry keyers	7: Hispanic	143	35,687	89.32	3.29	0.89	3.29±0.89
385	Data-entry keyers	8: NonHispanic	1,864	449,947	93.59	2.14	0.20	2.14±0.20
387	Teachers aides	1: Total	1,625	388,785	94.77	2.31	0.22	2.31±0.22
387	Teachers aides	2: Male	86	21,414	96.63	1.32	0.27	1.32±0.27
387	Teachers aides	3: Female	1,539	367,370	94.66	2.35	0.23	2.35±0.23
387	Teachers aides	4: White	1,261	314,883	94.76	2.35	0.26	2.35±0.26
387	Teachers aides	5: Black	320	61,772	94.14	2.16	0.38	2.16±0.38
387	Teachers aides	6: Other	44	12,130	98.11	2.00	0.00	2.00±0.00
387	Teachers aides	7: Hispanic	210	52,219	93.49	2.75	0.78	2.75±0.78
387	Teachers aides	8: NonHispanic	1,415	336,566	94.97	2.22	0.22	2.22±0.22
389	Administrative support occs	1: Total	2,890	717,172	94.35	2.18	0.17	2.18±0.17
389	Administrative support occs	2: Male	650	169,607	96.14	1.95	0.22	1.95±0.22
389	Administrative support occs	3: Female	2,240	547,564	93.80	2.23	0.20	2.23±0.20
389	Administrative support occs	4: White	2,371	603,814	94.45	2.18	0.19	2.18±0.19
389	Administrative support occs	5: Black	405	82,999	94.08	2.18	0.56	2.18±0.56
389	Administrative support occs	6: Other	114	30,359	93.24	2.22	0.81	2.22±0.81
389	Administrative support occs	7: Hispanic	171	43,281	92.06	2.21	0.47	2.21±0.47
389	Administrative support occs	8: NonHispanic	2,719	673,891	94.50	2.18	0.18	2.18±0.18
406	Child care workers, private household	1: Total	735	184,736	94.35	3.13	0.41	3.13±0.41
406	Child care workers, private household	2: Male	13	4,252	100.00
406	Child care workers, private household	3: Female	722	180,484	94.21	3.13	0.41	3.13±0.41
406	Child care workers, private household	4: White	581	152,239	94.11	3.15	0.45	3.15±0.45
406	Child care workers, private household	5: Black	130	25,514	94.23	2.99	0.89	2.99±0.89
406	Child care workers, private household	6: Other	24	6,983	100.00
406	Child care workers, private household	7: Hispanic	77	20,558	97.61	2.00	0.00	2.00±0.00
406	Child care workers, private household	8: NonHispanic	658	164,178	93.94	3.18	0.42	3.18±0.42
407	Private household cleaners and servants	1: Total	2,307	515,168	94.94	3.70	0.41	3.70±0.41
407	Private household cleaners and servants	2: Male	112	27,623	95.13	3.77	0.95	3.77±0.95
407	Private household cleaners and servants	3: Female	2,195	487,545	94.93	3.69	0.43	3.69±0.43
407	Private household cleaners and servants	4: White	1,353	334,219	95.34	3.63	0.49	3.63±0.49
407	Private household cleaners and servants	5: Black	913	169,563	94.73	4.26	0.59	4.26±0.59
407	Private household cleaners and servants	6: Other	41	11,386	86.62	1.15	0.15	1.15±0.15
407	Private household cleaners and servants	7: Hispanic	380	93,012	96.63	2.70	0.54	2.70±0.54
407	Private household cleaners and servants	8: NonHispanic	1,927	422,156	94.57	3.83	0.46	3.83±0.46
417	Firefighting occs	1: Total	770	198,277	95.86	3.46	0.60	3.46±0.60
417	Firefighting occs	2: Male	750	193,361	95.90	3.48	0.62	3.48±0.62
417	Firefighting occs	3: Female	20	4,916	94.29	3.00	0.00	3.00±0.00
417	Firefighting occs	4: White	670	173,027	95.87	3.71	0.68	3.71±0.68
417	Firefighting occs	5: Black	82	19,686	94.61	1.78	0.20	1.78±0.20
417	Firefighting occs	6: Other	18	5,564	100.00
417	Firefighting occs	7: Hispanic	46	11,259	98.19	5.00	0.00	5.00±0.00
417	Firefighting occs	8: NonHispanic	724	187,017	95.72	3.42	0.62	3.42±0.62
418	Police and detectives, public service	1: Total	1,842	481,710	95.47	2.40	0.18	2.40±0.18
418	Police and detectives, public service	2: Male	1,617	427,880	95.87	2.48	0.21	2.48±0.21
418	Police and detectives, public service	3: Female	225	53,830	92.25	2.07	0.49	2.07±0.49
418	Police and detectives, public service	4: White	1,576	415,697	95.57	2.27	0.21	2.27±0.21
418	Police and detectives, public service	5: Black	235	57,495	94.63	3.15	0.47	3.15±0.47
418	Police and detectives, public service	6: Other	31	8,517	95.94	3.00	0.00	3.00±0.00
418	Police and detectives, public service	7: Hispanic	133	35,570	97.31	2.00	0.64	2.00±0.64
418	Police and detectives, public service	8: NonHispanic	1,709	446,140	95.32	2.42	0.18	2.42±0.18
423	Sheriffs/bailiffs/other law enforcement officers	1: Total	487	127,159	95.21	2.08	0.26	2.08±0.26
423	Sheriffs/bailiffs/other law enforcement officers	2: Male	406	108,386	95.45	1.85	0.17	1.85±0.17
423	Sheriffs/bailiffs/other law enforcement officers	3: Female	81	18,773	93.84	3.06	1.13	3.06±1.13
423	Sheriffs/bailiffs/other law enforcement officers	4: White	414	110,731	95.66	1.98	0.32	1.98±0.32
423	Sheriffs/bailiffs/other law enforcement officers	5: Black	66	14,369	92.54	2.56	0.49	2.56±0.49
423	Sheriffs/bailiffs/other law enforcement officers	6: Other	7	2,059	89.64	2.00	0.00	2.00±0.00
423	Sheriffs/bailiffs/other law enforcement officers	7: Hispanic	27	7,896	90.31	2.00	0.00	2.00±0.00
423	Sheriffs/bailiffs/other law enforcement officers	8: NonHispanic	460	119,263	95.53	2.09	0.30	2.09±0.30
424	Correctional institution officers	1: Total	853	219,927	95.02	2.74	0.38	2.74±0.38
424	Correctional institution officers	2: Male	657	173,618	96.03	2.42	0.47	2.42±0.47
424	Correctional institution officers	3: Female	196	46,309	91.24	3.28	0.69	3.28±0.69
424	Correctional institution officers	4: White	598	156,718	95.02	2.41	0.33	2.41±0.33
424	Correctional institution officers	5: Black	246	60,620	94.83	3.56	1.01	3.56±1.01
424	Correctional institution officers	6: Other	9	2,589	100.00
424	Correctional institution officers	7: Hispanic	61	16,375	98.60	2.00	0.00	2.00±0.00
424	Correctional institution officers	8: NonHispanic	792	203,552	94.73	2.75	0.39	2.75±0.39
426	Guards and police, except public service	1: Total	2,571	650,456	95.94	3.10	0.34	3.10±0.34
426	Guards and police, except public service	2: Male	2,154	552,369	96.31	3.22	0.44	3.22±0.44
426	Guards and police, except public service	3: Female	417	98,086	93.86	2.69	0.32	2.69±0.32
426	Guards and police, except public service	4: White	1,811	480,103	95.91	3.46	0.45	3.46±0.45
426	Guards and police, except public service	5: Black	677	149,390	95.63	2.05	0.19	2.05±0.19
426	Guards and police, except public service	6: Other	83	20,963	99.05	2.00	0.00	2.00±0.00
426	Guards and police, except public service	7: Hispanic	197	50,594	97.18	2.42	0.43	2.42±0.43
426	Guards and police, except public service	8: NonHispanic	2,374	599,862	95.84	3.14	0.36	3.14±0.36
433	Supervisors, food preparation and service occs	1: Total	1,006	259,072	94.26	2.61	0.38	2.61±0.38
433	Supervisors, food preparation and service occs	2: Male	403	104,802	93.20	2.98	0.70	2.98±0.70
433	Supervisors, food preparation and service occs	3: Female	603	154,270	94.99	2.27	0.37	2.27±0.37
433	Supervisors, food preparation and service occs	4: White	770	204,666	94.20	2.77	0.47	2.77±0.47
433	Supervisors, food preparation and service occs	5: Black	168	34,444	93.94	2.13	0.29	2.13±0.29
433	Supervisors, food preparation and service occs	6: Other	68	19,962	95.53	1.57	0.58	1.57±0.58
433	Supervisors, food preparation and service occs	7: Hispanic	87	25,251	97.51	10.13	4.10	10.12±4.10
433	Supervisors, food preparation and service occs	8: NonHispanic	919	233,821	93.91	2.28	0.23	2.28±0.23
434	Bartenders	1: Total	1,277	344,383	93.72	3.24	0.40	3.24±0.40
434	Bartenders	2: Male	609	165,509	96.59	3.02	0.70	3.02±0.70
434	Bartenders	3: Female	668	178,873	91.07	3.31	0.47	3.31±0.47
434	Bartenders	4: White	1,178	316,379	93.70	3.29	0.45	3.29±0.45
434	Bartenders	5: Black	62	16,534	95.28	3.59	2.25	3.59±2.25
434	Bartenders	6: Other	37	11,470	91.99	1.76	0.26	1.76±0.26
434	Bartenders	7: Hispanic	73	19,323	88.35	3.42	1.50	3.42±1.50
434	Bartenders	8: NonHispanic	1,204	325,059	94.04	3.22	0.45	3.22±0.45
435	Waiters and waitresses	1: Total	4,834	1,243,450	93.07	2.80	0.17	2.80±0.17
435	Waiters and waitresses	2: Male	831	223,627	96.03	2.46	0.46	2.46±0.46
435	Waiters and waitresses	3: Female	4,003	1,019,824	92.42	2.84	0.18	2.84±0.18
435	Waiters and waitresses	4: White	4,303	1,111,262	93.11	2.84	0.18	2.84±0.18
435	Waiters and waitresses	5: Black	276	61,054	94.50	2.41	0.51	2.41±0.51
435	Waiters and waitresses	6: Other	255	71,135	91.14	2.50	0.54	2.50±0.54
435	Waiters and waitresses	7: Hispanic	372	95,550	91.76	2.32	0.26	2.32±0.26
435	Waiters and waitresses	8: NonHispanic	4,462	1,147,900	93.18	2.85	0.18	2.85±0.18
436	Cooks	1: Total	6,414	1,587,227	95.13	2.64	0.20	2.64±0.20
436	Cooks	2: Male	2,992	783,771	96.12	2.35	0.24	2.34±0.24
436	Cooks	3: Female	3,422	803,457	94.16	2.83	0.29	2.83±0.29
436	Cooks	4: White	4,547	1,172,926	94.89	2.64	0.23	2.64±0.23
436	Cooks	5: Black	1,439	300,435	95.18	2.61	0.37	2.61±0.37
436	Cooks	6: Other	428	113,866	97.40	2.78	0.96	2.78±0.96
436	Cooks	7: Hispanic	808	209,332	96.64	2.97	0.54	2.97±0.54
436	Cooks	8: NonHispanic	5,606	1,377,895	94.90	2.60	0.21	2.60±0.21
438	Food counter/fountain/related occs	1: Total	695	176,859	93.29	3.00	0.49	3.00±0.49
438	Food counter/fountain/related occs	2: Male	168	45,699	95.36	4.00	1.57	4.00±1.57
438	Food counter/fountain/related occs	3: Female	527	131,160	92.56	2.78	0.47	2.78±0.47
438	Food counter/fountain/related occs	4: White	567	146,014	93.07	2.69	0.47	2.69±0.47
438	Food counter/fountain/related occs	5: Black	94	19,953	92.60	5.11	2.03	5.11±2.03
438	Food counter/fountain/related occs	6: Other	34	10,892	97.48	3.00	0.00	3.00±0.00
438	Food counter/fountain/related occs	7: Hispanic	67	17,933	93.27	4.35	2.16	4.35±2.16
438	Food counter/fountain/related occs	8: NonHispanic	628	158,926	93.29	2.85	0.46	2.85±0.46
439	Kitchen workers, food preparation	1: Total	789	192,563	96.19	3.12	0.54	3.12±0.54
439	Kitchen workers, food preparation	2: Male	228	57,965	96.72	1.96	0.29	1.96±0.29
439	Kitchen workers, food preparation	3: Female	561	134,598	95.97	3.52	0.64	3.52±0.64
439	Kitchen workers, food preparation	4: White	625	157,272	97.02	3.03	0.50	3.03±0.50
439	Kitchen workers, food preparation	5: Black	131	26,793	92.91	3.10	1.65	3.10±1.65
439	Kitchen workers, food preparation	6: Other	33	8,499	91.19	3.68	0.31	3.68±0.31
439	Kitchen workers, food preparation	7: Hispanic	110	27,503	97.07	2.33	0.27	2.33±0.27
439	Kitchen workers, food preparation	8: NonHispanic	679	165,061	96.05	3.22	0.60	3.22±0.60
443	Waiters/waitresses assistants	1: Total	1,045	264,739	94.93	2.39	0.27	2.39±0.27
443	Waiters/waitresses assistants	2: Male	518	136,888	96.80	2.31	0.48	2.31±0.48
443	Waiters/waitresses assistants	3: Female	527	127,851	92.91	2.44	0.30	2.44±0.30
443	Waiters/waitresses assistants	4: White	751	198,354	94.59	2.27	0.26	2.27±0.26
443	Waiters/waitresses assistants	5: Black	217	45,895	95.24	3.28	0.86	3.28±0.86
443	Waiters/waitresses assistants	6: Other	77	20,490	97.48	1.16	0.17	1.16±0.17
443	Waiters/waitresses assistants	7: Hispanic	219	57,751	97.33	1.92	0.33	1.92±0.33
443	Waiters/waitresses assistants	8: NonHispanic	826	206,988	94.25	2.46	0.30	2.46±0.30
444	Miscellaneous food preparation occs	1: Total	2,037	501,893	94.45	2.52	0.23	2.52±0.23
444	Miscellaneous food preparation occs	2: Male	828	215,820	94.78	2.50	0.39	2.50±0.39
444	Miscellaneous food preparation occs	3: Female	1,209	286,073	94.21	2.54	0.27	2.54±0.27
444	Miscellaneous food preparation occs	4: White	1,446	370,694	93.77	2.45	0.26	2.45±0.26
444	Miscellaneous food preparation occs	5: Black	483	99,163	96.97	3.29	0.67	3.29±0.67
444	Miscellaneous food preparation occs	6: Other	108	32,036	94.62	2.13	0.13	2.13±0.13
444	Miscellaneous food preparation occs	7: Hispanic	344	84,834	94.78	2.92	0.74	2.92±0.74
444	Miscellaneous food preparation occs	8: NonHispanic	1,693	417,059	94.39	2.45	0.23	2.45±0.23
445	Dental assistants	1: Total	693	176,208	95.14	1.69	0.16	1.68±0.16
445	Dental assistants	2: Male	10	2,344	100.00
445	Dental assistants	3: Female	683	173,864	95.07	1.69	0.16	1.68±0.16
445	Dental assistants	4: White	624	158,379	95.30	1.70	0.16	1.70±0.16
445	Dental assistants	5: Black	37	9,318	92.09	1.94	0.91	1.94±0.91
445	Dental assistants	6: Other	32	8,511	95.41	1.00	0.00	1.00±0.00
445	Dental assistants	7: Hispanic	55	14,666	93.76	1.56	0.23	1.56±0.23
445	Dental assistants	8: NonHispanic	638	161,542	95.26	1.70	0.17	1.70±0.17
446	Health aides, except nursing	1: Total	1,368	333,037	92.33	3.03	0.41	3.03±0.41
446	Health aides, except nursing	2: Male	207	51,970	95.62	1.70	0.16	1.70±0.16
446	Health aides, except nursing	3: Female	1,161	281,067	91.72	3.16	0.45	3.16±0.45
446	Health aides, except nursing	4: White	1,007	257,471	91.39	2.88	0.42	2.88±0.42
446	Health aides, except nursing	5: Black	307	61,364	95.24	4.46	1.40	4.46±1.40
446	Health aides, except nursing	6: Other	54	14,202	96.77	1.53	0.35	1.53±0.35
446	Health aides, except nursing	7: Hispanic	111	28,147	92.20	2.87	0.53	2.87±0.53
446	Health aides, except nursing	8: NonHispanic	1,257	304,890	92.34	3.05	0.44	3.05±0.44
447	Nursing aides, orderlies, and attendants	1: Total	6,447	1,477,561	92.08	3.02	0.18	3.02±0.18
447	Nursing aides, orderlies, and attendants	2: Male	603	153,470	91.94	2.79	0.61	2.79±0.61
447	Nursing aides, orderlies, and attendants	3: Female	5,844	1,324,091	92.09	3.05	0.16	3.05±0.16
447	Nursing aides, orderlies, and attendants	4: White	3,846	961,155	91.88	2.77	0.21	2.77±0.21
447	Nursing aides, orderlies, and attendants	5: Black	2,377	458,338	92.24	3.60	0.28	3.60±0.28
447	Nursing aides, orderlies, and attendants	6: Other	224	58,068	94.13	2.88	1.04	2.88±1.04
447	Nursing aides, orderlies, and attendants	7: Hispanic	466	114,207	91.69	3.36	0.45	3.36±0.45
447	Nursing aides, orderlies, and attendants	8: NonHispanic	5,981	1,363,354	92.11	2.99	0.19	2.99±0.19
448	Supervisors, cleaning and building service workers	1: Total	661	159,703	96.12	2.76	0.62	2.76±0.62
448	Supervisors, cleaning and building service workers	2: Male	404	105,146	97.48	1.52	0.21	1.52±0.21
448	Supervisors, cleaning and building service workers	3: Female	257	54,556	93.48	3.67	0.99	3.67±0.99
448	Supervisors, cleaning and building service workers	4: White	446	114,658	96.16	3.28	0.84	3.28±0.84
448	Supervisors, cleaning and building service workers	5: Black	192	38,557	95.99	1.57	0.27	1.57±0.27
448	Supervisors, cleaning and building service workers	6: Other	23	6,487	96.07	1.00	0.00	1.00±0.00
448	Supervisors, cleaning and building service workers	7: Hispanic	66	16,618	97.04	1.00	0.00	1.00±0.00
448	Supervisors, cleaning and building service workers	8: NonHispanic	595	143,085	96.01	2.91	0.67	2.91±0.67
449	Maids and housemen	1: Total	2,366	551,376	94.24	2.54	0.17	2.54±0.17
449	Maids and housemen	2: Male	388	96,994	96.89	2.72	0.42	2.72±0.42
449	Maids and housemen	3: Female	1,978	454,381	93.67	2.52	0.18	2.52±0.18
449	Maids and housemen	4: White	1,409	354,519	93.87	2.43	0.22	2.43±0.22
449	Maids and housemen	5: Black	835	163,377	94.26	2.91	0.29	2.91±0.29
449	Maids and housemen	6: Other	122	33,480	97.99	1.00	0.00	1.00±0.00
449	Maids and housemen	7: Hispanic	367	92,528	94.82	2.13	0.28	2.13±0.28
449	Maids and housemen	8: NonHispanic	1,999	458,848	94.12	2.61	0.19	2.61±0.19
453	Janitors and cleaners	1: Total	8,601	2,067,101	94.75	3.14	0.16	3.14±0.16
453	Janitors and cleaners	2: Male	5,744	1,409,633	95.93	3.06	0.22	3.06±0.22
453	Janitors and cleaners	3: Female	2,857	657,468	92.22	3.23	0.24	3.23±0.24
453	Janitors and cleaners	4: White	5,982	1,517,278	94.62	2.94	0.17	2.94±0.17
453	Janitors and cleaners	5: Black	2,303	459,686	95.05	3.82	0.41	3.82±0.41
453	Janitors and cleaners	6: Other	316	90,137	95.47	3.36	1.10	3.36±1.10
453	Janitors and cleaners	7: Hispanic	1,123	282,343	95.69	2.73	0.32	2.73±0.32
453	Janitors and cleaners	8: NonHispanic	7,478	1,784,758	94.60	3.19	0.18	3.19±0.18
458	Hairdressers and cosmetologists	1: Total	2,972	741,546	94.75	2.54	0.18	2.54±0.18
458	Hairdressers and cosmetologists	2: Male	264	68,233	96.01	2.58	0.51	2.58±0.51
458	Hairdressers and cosmetologists	3: Female	2,708	673,312	94.62	2.54	0.19	2.54±0.19
458	Hairdressers and cosmetologists	4: White	2,544	648,508	94.66	2.56	0.20	2.56±0.20
458	Hairdressers and cosmetologists	5: Black	306	60,742	96.41	2.91	0.58	2.91±0.58
458	Hairdressers and cosmetologists	6: Other	122	32,296	93.56	1.90	0.41	1.90±0.41
458	Hairdressers and cosmetologists	7: Hispanic	192	51,330	94.82	3.18	1.10	3.18±1.10
458	Hairdressers and cosmetologists	8: NonHispanic	2,780	690,216	94.75	2.50	0.18	2.50±0.18
459	Attendants, amusement and recreation facilities	1: Total	442	120,428	94.68	3.66	0.68	3.66±0.68
459	Attendants, amusement and recreation facilities	2: Male	277	77,155	96.90	3.94	0.72	3.94±0.72
459	Attendants, amusement and recreation facilities	3: Female	165	43,272	90.74	3.49	0.96	3.49±0.96
459	Attendants, amusement and recreation facilities	4: White	374	102,381	96.34	2.68	0.56	2.68±0.56
459	Attendants, amusement and recreation facilities	5: Black	42	9,840	91.90	6.21	3.36	6.21±3.36
459	Attendants, amusement and recreation facilities	6: Other	26	8,206	77.42	4.54	0.93	4.54±0.93
459	Attendants, amusement and recreation facilities	7: Hispanic	28	6,990	90.57	3.75	1.47	3.75±1.47
459	Attendants, amusement and recreation facilities	8: NonHispanic	414	113,438	94.94	3.65	0.74	3.65±0.74
468	Child care workers	1: Total	3,537	855,757	93.67	2.61	0.18	2.61±0.18
468	Child care workers	2: Male	117	30,500	93.78	3.00	0.57	3.00±0.57
468	Child care workers	3: Female	3,420	825,256	93.67	2.59	0.19	2.59±0.19
468	Child care workers	4: White	2,892	724,662	93.93	2.43	0.17	2.43±0.17
468	Child care workers	5: Black	567	110,510	91.92	3.62	0.57	3.62±0.57
468	Child care workers	6: Other	78	20,585	94.00	1.64	0.50	1.64±0.50
468	Child care workers	7: Hispanic	268	65,679	93.35	2.87	0.50	2.87±0.50
468	Child care workers	8: NonHispanic	3,269	790,077	93.70	2.58	0.19	2.58±0.19
469	Personal service occs, ne.c.	1: Total	894	222,426	93.32	2.66	0.31	2.66±0.31
469	Personal service occs, ne.c.	2: Male	277	71,762	95.44	2.94	0.41	2.94±0.41
469	Personal service occs, ne.c.	3: Female	617	150,664	92.30	2.57	0.39	2.57±0.39
469	Personal service occs, ne.c.	4: White	675	177,821	93.13	2.72	0.38	2.72±0.38
469	Personal service occs, ne.c.	5: Black	185	36,056	94.38	2.27	0.21	2.27±0.21
469	Personal service occs, ne.c.	6: Other	34	8,548	92.70	2.71	0.16	2.71±0.16
469	Personal service occs, ne.c.	7: Hispanic	94	24,343	95.01	4.61	1.90	4.61±1.90
469	Personal service occs, ne.c.	8: NonHispanic	800	198,082	93.11	2.48	0.30	2.48±0.30
473	Farmers, except horticultural	1: Total	4,899	1,166,644	97.34	4.50	0.44	4.50±0.44
473	Farmers, except horticultural	2: Male	4,077	975,641	97.51	5.07	0.56	5.07±0.56
473	Farmers, except horticultural	3: Female	822	191,002	96.51	2.45	0.43	2.45±0.43
473	Farmers, except horticultural	4: White	4,792	1,139,195	97.37	4.39	0.45	4.39±0.45
473	Farmers, except horticultural	5: Black	71	18,651	96.77	5.87	3.43	5.87±3.43
473	Farmers, except horticultural	6: Other	36	8,798	94.87	9.81	3.17	9.81±3.17
473	Farmers, except horticultural	7: Hispanic	88	22,847	95.34	2.87	0.54	2.87±0.54
473	Farmers, except horticultural	8: NonHispanic	4,811	1,143,797	97.38	4.56	0.46	4.56±0.46
475	Managers, farms, except horticultural	1: Total	692	167,631	95.85	3.87	0.65	3.87±0.65
475	Managers, farms, except horticultural	2: Male	568	139,372	97.16	2.61	0.42	2.61±0.42
475	Managers, farms, except horticultural	3: Female	124	28,260	89.38	5.52	1.30	5.52±1.30
475	Managers, farms, except horticultural	4: White	670	161,151	95.83	3.93	0.67	3.93±0.67
475	Managers, farms, except horticultural	5: Black	14	4,473	100.00
475	Managers, farms, except horticultural	6: Other	8	2,007	88.73	2.00	0.00	2.00±0.00
475	Managers, farms, except horticultural	7: Hispanic	52	12,531	98.09	1.00	0.00	1.00±0.00
475	Managers, farms, except horticultural	8: NonHispanic	640	155,100	95.67	3.97	0.67	3.97±0.67
479	Farm workers	1: Total	2,811	686,987	97.20	3.24	0.45	3.24±0.45
479	Farm workers	2: Male	2,210	544,374	97.43	2.73	0.42	2.73±0.42
479	Farm workers	3: Female	601	142,613	96.31	4.59	0.90	4.59±0.90
479	Farm workers	4: White	2,559	626,954	97.22	3.26	0.48	3.26±0.48
479	Farm workers	5: Black	209	50,321	96.33	3.03	0.74	3.03±0.74
479	Farm workers	6: Other	43	9,712	100.00
479	Farm workers	7: Hispanic	791	198,614	98.34	2.73	0.62	2.73±0.62
479	Farm workers	8: NonHispanic	2,020	488,373	96.73	3.35	0.52	3.35±0.52
485	Supervisors, related agricultural occs	1: Total	385	100,868	96.95	2.90	0.88	2.90±0.88
485	Supervisors, related agricultural occs	2: Male	352	92,700	96.90	3.04	0.94	3.04±0.94
485	Supervisors, related agricultural occs	3: Female	33	8,168	97.52	1.00	0.00	1.00±0.00
485	Supervisors, related agricultural occs	4: White	344	90,024	97.38	2.35	0.43	2.35±0.43
485	Supervisors, related agricultural occs	5: Black	33	8,543	91.64	4.74	3.76	4.74±3.76
485	Supervisors, related agricultural occs	6: Other	8	2,301	100.00
485	Supervisors, related agricultural occs	7: Hispanic	44	11,614	100.00
485	Supervisors, related agricultural occs	8: NonHispanic	341	89,254	96.56	2.90	0.88	2.90±0.88
486	Groundskeepers and gardeners, except farm	1: Total	2,502	632,818	96.36	4.28	0.52	4.28±0.52
486	Groundskeepers and gardeners, except farm	2: Male	2,322	588,437	96.24	4.35	0.54	4.35±0.54
486	Groundskeepers and gardeners, except farm	3: Female	180	44,381	97.95	2.56	0.50	2.56±0.50
486	Groundskeepers and gardeners, except farm	4: White	2,022	525,323	96.79	3.73	0.50	3.73±0.50
486	Groundskeepers and gardeners, except farm	5: Black	409	87,800	94.54	5.03	1.26	5.03±1.26
486	Groundskeepers and gardeners, except farm	6: Other	71	19,695	93.23	8.52	2.35	8.52±2.35
486	Groundskeepers and gardeners, except farm	7: Hispanic	464	117,128	98.01	4.74	2.03	4.74±2.03
486	Groundskeepers and gardeners, except farm	8: NonHispanic	2,038	515,690	95.99	4.23	0.51	4.23±0.51
496	Timber cutting and logging occs	1: Total	398	104,819	95.05	3.33	0.78	3.33±0.78
496	Timber cutting and logging occs	2: Male	384	101,439	95.16	3.46	0.80	3.46±0.80
496	Timber cutting and logging occs	3: Female	14	3,379	91.96	1.00	0.00	1.00±0.00
496	Timber cutting and logging occs	4: White	337	89,520	95.39	2.50	0.43	2.50±0.43
496	Timber cutting and logging occs	5: Black	59	14,842	92.90	6.57	0.74	6.57±0.74
496	Timber cutting and logging occs	6: Other	2	456	100.00
496	Timber cutting and logging occs	7: Hispanic	12	2,739	100.00
496	Timber cutting and logging occs	8: NonHispanic	386	102,079	94.92	3.33	0.78	3.33±0.78
503	Supervisors, mechanics and repairers	1: Total	1,106	282,895	95.56	2.53	0.28	2.53±0.28
503	Supervisors, mechanics and repairers	2: Male	1,033	265,131	95.35	2.55	0.29	2.55±0.29
503	Supervisors, mechanics and repairers	3: Female	73	17,764	98.75	1.00	0.00	1.00±0.00
503	Supervisors, mechanics and repairers	4: White	1,003	261,524	95.52	2.52	0.29	2.52±0.29
503	Supervisors, mechanics and repairers	5: Black	78	14,507	98.99	1.00	0.00	1.00±0.00
503	Supervisors, mechanics and repairers	6: Other	25	6,865	90.00	2.89	0.99	2.89±0.99
503	Supervisors, mechanics and repairers	7: Hispanic	46	12,316	96.43	5.47	3.18	5.47±3.18
503	Supervisors, mechanics and repairers	8: NonHispanic	1,060	270,579	95.52	2.42	0.26	2.42±0.26
505	Automobile mechanics	1: Total	3,553	924,831	95.39	2.50	0.20	2.50±0.20
505	Automobile mechanics	2: Male	3,504	911,752	95.44	2.42	0.20	2.42±0.20
505	Automobile mechanics	3: Female	49	13,079	91.87	5.73	0.99	5.73±0.99
505	Automobile mechanics	4: White	3,122	823,872	95.31	2.52	0.22	2.52±0.22
505	Automobile mechanics	5: Black	335	74,283	96.30	2.05	0.34	2.05±0.34
505	Automobile mechanics	6: Other	96	26,676	95.44	2.90	0.85	2.90±0.85
505	Automobile mechanics	7: Hispanic	312	84,143	96.92	3.11	1.02	3.11±1.02
505	Automobile mechanics	8: NonHispanic	3,241	840,688	95.24	2.46	0.21	2.46±0.21
507	Bus, truck, and stationary engine mechanics	1: Total	1,208	312,281	96.40	3.57	0.54	3.57±0.54
507	Bus, truck, and stationary engine mechanics	2: Male	1,196	309,444	96.36	3.57	0.54	3.57±0.54
507	Bus, truck, and stationary engine mechanics	3: Female	12	2,837	100.00
507	Bus, truck, and stationary engine mechanics	4: White	1,068	279,594	96.43	3.34	0.58	3.34±0.58
507	Bus, truck, and stationary engine mechanics	5: Black	121	26,549	95.23	5.36	1.76	5.36±1.76
507	Bus, truck, and stationary engine mechanics	6: Other	19	6,137	100.00
507	Bus, truck, and stationary engine mechanics	7: Hispanic	83	21,696	93.63	7.35	1.78	7.35±1.78
507	Bus, truck, and stationary engine mechanics	8: NonHispanic	1,125	290,585	96.60	3.04	0.49	3.04±0.49
508	Aircraft engine mechanics	1: Total	526	139,849	94.28	2.30	0.43	2.30±0.43
508	Aircraft engine mechanics	2: Male	511	136,446	94.30	2.28	0.45	2.28±0.45
508	Aircraft engine mechanics	3: Female	15	3,403	93.44	3.00	0.00	3.00±0.00
508	Aircraft engine mechanics	4: White	442	119,200	94.94	2.60	0.51	2.60±0.51
508	Aircraft engine mechanics	5: Black	59	13,166	85.04	1.38	0.30	1.38±0.30
508	Aircraft engine mechanics	6: Other	25	7,483	100.00
508	Aircraft engine mechanics	7: Hispanic	59	16,273	92.01	3.77	2.05	3.77±2.05
508	Aircraft engine mechanics	8: NonHispanic	467	123,576	94.58	2.01	0.32	2.01±0.32
514	Automobile body and related repairers	1: Total	751	194,183	95.75	2.05	0.36	2.05±0.36
514	Automobile body and related repairers	2: Male	737	190,848	95.79	2.05	0.37	2.05±0.37
514	Automobile body and related repairers	3: Female	14	3,336	93.83	2.00	0.00	2.00±0.00
514	Automobile body and related repairers	4: White	686	180,530	95.65	2.10	0.38	2.10±0.38
514	Automobile body and related repairers	5: Black	49	9,605	100.00
514	Automobile body and related repairers	6: Other	16	4,048	90.30	1.00	0.00	1.00±0.00
514	Automobile body and related repairers	7: Hispanic	71	18,112	97.29	2.58	0.34	2.58±0.34
514	Automobile body and related repairers	8: NonHispanic	680	176,071	95.60	2.02	0.38	2.02±0.38
516	Heavy equipment mechanics	1: Total	626	162,026	96.62	2.03	0.43	2.03±0.43
516	Heavy equipment mechanics	2: Male	620	160,399	96.87	1.77	0.38	1.77±0.38
516	Heavy equipment mechanics	3: Female	6	1,627	71.44	4.87	1.41	4.87±1.41
516	Heavy equipment mechanics	4: White	570	148,046	96.44	2.07	0.44	2.07±0.44
516	Heavy equipment mechanics	5: Black	45	10,117	100.00
516	Heavy equipment mechanics	6: Other	11	3,863	94.60	1.00	0.00	1.00±0.00
516	Heavy equipment mechanics	7: Hispanic	38	9,945	89.02	1.00	0.00	1.00±0.00
516	Heavy equipment mechanics	8: NonHispanic	588	152,082	97.11	2.29	0.42	2.29±0.42
518	Industrial machinery repairers	1: Total	1,664	423,173	96.41	2.56	0.29	2.56±0.29
518	Industrial machinery repairers	2: Male	1,603	407,439	96.37	2.55	0.29	2.55±0.29
518	Industrial machinery repairers	3: Female	61	15,734	97.45	3.05	1.41	3.05±1.41
518	Industrial machinery repairers	4: White	1,482	378,313	96.12	2.55	0.29	2.55±0.29
518	Industrial machinery repairers	5: Black	147	35,436	98.50	2.77	0.95	2.77±0.95
518	Industrial machinery repairers	6: Other	35	9,424	100.00
518	Industrial machinery repairers	7: Hispanic	117	29,582	94.48	2.74	0.75	2.74±0.75
518	Industrial machinery repairers	8: NonHispanic	1,547	393,591	96.55	2.54	0.32	2.54±0.32
523	Electronic repairers, communication/industrial equipment	1: Total	647	169,027	96.02	1.72	0.28	1.72±0.28
523	Electronic repairers, communication/industrial equipment	2: Male	582	153,324	95.92	1.66	0.29	1.66±0.29
523	Electronic repairers, communication/industrial equipment	3: Female	65	15,702	96.94	2.56	0.35	2.56±0.35
523	Electronic repairers, communication/industrial equipment	4: White	540	142,679	96.32	1.69	0.28	1.69±0.28
523	Electronic repairers, communication/industrial equipment	5: Black	89	21,472	93.12	1.83	0.74	1.83±0.74
523	Electronic repairers, communication/industrial equipment	6: Other	18	4,875	100.00
523	Electronic repairers, communication/industrial equipment	7: Hispanic	50	13,124	96.23	4.00	0.00	4.00±0.00
523	Electronic repairers, communication/industrial equipment	8: NonHispanic	597	155,903	96.00	1.54	0.23	1.54±0.23
529	Telephone installers and repairers	1: Total	644	162,838	96.01	2.43	0.24	2.43±0.24
529	Telephone installers and repairers	2: Male	567	144,286	96.34	2.40	0.26	2.40±0.26
529	Telephone installers and repairers	3: Female	77	18,552	93.43	2.58	0.62	2.58±0.62
529	Telephone installers and repairers	4: White	571	144,681	96.05	2.48	0.27	2.48±0.27
529	Telephone installers and repairers	5: Black	60	15,049	97.59	1.65	0.32	1.65±0.32
529	Telephone installers and repairers	6: Other	13	3,108	86.24	2.46	0.35	2.46±0.35
529	Telephone installers and repairers	7: Hispanic	47	12,142	98.00	1.00	0.00	1.00±0.00
529	Telephone installers and repairers	8: NonHispanic	597	150,696	95.85	2.49	0.25	2.49±0.25
534	Heating air conditioning, and refrigeration mechanics	1: Total	848	225,091	95.35	2.68	0.52	2.68±0.52
534	Heating air conditioning, and refrigeration mechanics	2: Male	844	224,245	95.34	2.68	0.52	2.68±0.52
534	Heating air conditioning, and refrigeration mechanics	3: Female	4	846	100.00
534	Heating air conditioning, and refrigeration mechanics	4: White	785	208,347	94.98	2.68	0.52	2.68±0.52
534	Heating air conditioning, and refrigeration mechanics	5: Black	46	11,777	100.00
534	Heating air conditioning, and refrigeration mechanics	6: Other	17	4,968	100.00
534	Heating air conditioning, and refrigeration mechanics	7: Hispanic	61	15,365	96.82	8.51	3.89	8.51±3.89
534	Heating air conditioning, and refrigeration mechanics	8: NonHispanic	787	209,727	95.25	2.39	0.46	2.39±0.46
547	Specified mechanics and repairers	1: Total	994	257,127	95.01	3.04	0.41	3.04±0.41
547	Specified mechanics and repairers	2: Male	934	242,820	95.00	3.06	0.43	3.06±0.43
547	Specified mechanics and repairers	3: Female	60	14,307	95.21	2.68	0.27	2.68±0.27
547	Specified mechanics and repairers	4: White	874	227,503	94.82	2.99	0.42	2.99±0.42
547	Specified mechanics and repairers	5: Black	85	19,706	94.64	3.54	1.30	3.54±1.30
547	Specified mechanics and repairers	6: Other	35	9,917	100.00
547	Specified mechanics and repairers	7: Hispanic	85	21,620	94.21	3.44	0.79	3.44±0.79
547	Specified mechanics and repairers	8: NonHispanic	909	235,507	95.08	2.99	0.46	2.99±0.46
549	Not specified mechanics and repairers	1: Total	982	254,196	95.81	3.94	0.76	3.94±0.76
549	Not specified mechanics and repairers	2: Male	923	240,104	96.09	3.92	0.78	3.92±0.78
549	Not specified mechanics and repairers	3: Female	59	14,091	91.09	4.10	2.07	4.10±2.07
549	Not specified mechanics and repairers	4: White	841	218,993	96.39	4.10	0.92	4.10±0.92
549	Not specified mechanics and repairers	5: Black	119	29,737	96.24	1.67	0.27	1.67±0.27
549	Not specified mechanics and repairers	6: Other	22	5,465	70.35	4.70	2.17	4.70±2.17
549	Not specified mechanics and repairers	7: Hispanic	81	20,810	90.03	1.60	0.19	1.60±0.19
549	Not specified mechanics and repairers	8: NonHispanic	901	233,386	96.33	4.50	0.91	4.50±0.91
558	Supervisors, construction	1: Total	1,970	509,017	96.44	2.84	0.46	2.84±0.46
558	Supervisors, construction	2: Male	1,938	501,602	96.48	2.72	0.38	2.72±0.38
558	Supervisors, construction	3: Female	32	7,415	93.82	7.49	4.60	7.49±4.60
558	Supervisors, construction	4: White	1,824	477,148	96.38	2.91	0.48	2.91±0.48
558	Supervisors, construction	5: Black	116	23,959	98.28	1.00	0.00	1.00±0.00
558	Supervisors, construction	6: Other	30	7,909	94.90	2.00	0.00	2.00±0.00
558	Supervisors, construction	7: Hispanic	124	33,067	93.88	4.14	1.59	4.14±1.59
558	Supervisors, construction	8: NonHispanic	1,846	475,950	96.62	2.68	0.42	2.68±0.42
563	Brickmasons and stonemasons	1: Total	699	179,883	97.19	4.59	0.93	4.59±0.93
563	Brickmasons and stonemasons	2: Male	695	178,943	97.17	4.59	0.93	4.59±0.93
563	Brickmasons and stonemasons	3: Female	4	940	100.00
563	Brickmasons and stonemasons	4: White	574	151,238	97.17	4.35	0.97	4.35±0.97
563	Brickmasons and stonemasons	5: Black	114	25,281	98.55	10.37	3.27	10.37±3.27
563	Brickmasons and stonemasons	6: Other	11	3,363	87.44	2.00	0.00	2.00±0.00
563	Brickmasons and stonemasons	7: Hispanic	61	15,571	97.42	4.09	1.41	4.09±1.41
563	Brickmasons and stonemasons	8: NonHispanic	638	164,312	97.16	4.63	1.01	4.63±1.01
567	Carpenters	1: Total	5,112	1,336,839	96.09	3.20	0.27	3.20±0.27
567	Carpenters	2: Male	5,047	1,320,133	96.13	3.18	0.27	3.18±0.27
567	Carpenters	3: Female	65	16,705	92.87	3.70	1.42	3.70±1.42
567	Carpenters	4: White	4,685	1,234,330	96.11	3.02	0.28	3.02±0.28
567	Carpenters	5: Black	337	75,647	96.59	5.34	1.24	5.34±1.24
567	Carpenters	6: Other	90	26,862	93.48	4.71	1.50	4.71±1.50
567	Carpenters	7: Hispanic	388	102,190	97.22	3.78	1.29	3.78±1.29
567	Carpenters	8: NonHispanic	4,724	1,234,649	95.99	3.16	0.27	3.16±0.27
573	Drywall installers	1: Total	512	137,655	96.34	2.86	0.53	2.86±0.53
573	Drywall installers	2: Male	496	134,036	96.40	2.77	0.55	2.77±0.55
573	Drywall installers	3: Female	16	3,619	94.06	5.00	0.00	5.00±0.00
573	Drywall installers	4: White	458	123,513	96.23	3.01	0.56	3.01±0.56
573	Drywall installers	5: Black	42	9,959	96.19	1.00	0.00	1.00±0.00
573	Drywall installers	6: Other	12	4,183	100.00
573	Drywall installers	7: Hispanic	81	23,712	96.19	2.55	0.53	2.55±0.53
573	Drywall installers	8: NonHispanic	431	113,944	96.37	2.93	0.64	2.93±0.64
575	Electricians	1: Total	2,416	626,998	96.04	2.74	0.21	2.74±0.21
575	Electricians	2: Male	2,364	615,184	96.04	2.77	0.22	2.77±0.22
575	Electricians	3: Female	52	11,815	95.87	1.00	0.00	1.00±0.00
575	Electricians	4: White	2,187	574,256	96.12	2.64	0.22	2.64±0.22
575	Electricians	5: Black	158	33,466	94.49	4.31	1.67	4.31±1.67
575	Electricians	6: Other	71	19,276	96.12	1.85	0.16	1.85±0.16
575	Electricians	7: Hispanic	159	40,665	95.43	2.36	0.69	2.36±0.69
575	Electricians	8: NonHispanic	2,257	586,333	96.08	2.77	0.22	2.77±0.22
579	Painters, construction and maintenance	1: Total	1,918	495,214	96.10	3.46	0.49	3.46±0.49
579	Painters, construction and maintenance	2: Male	1,784	461,048	96.08	3.59	0.51	3.59±0.51
579	Painters, construction and maintenance	3: Female	134	34,166	96.37	1.61	0.34	1.61±0.34
579	Painters, construction and maintenance	4: White	1,667	439,798	95.78	3.33	0.47	3.33±0.47
579	Painters, construction and maintenance	5: Black	208	43,566	98.25	6.53	3.40	6.53±3.40
579	Painters, construction and maintenance	6: Other	43	11,850	100.00
579	Painters, construction and maintenance	7: Hispanic	264	70,062	97.10	2.65	1.14	2.65±1.14
579	Painters, construction and maintenance	8: NonHispanic	1,654	425,152	95.93	3.55	0.52	3.55±0.52
585	Plumbers, pipefitters, and steamfitters	1: Total	1,623	419,839	96.59	2.71	0.41	2.71±0.41
585	Plumbers, pipefitters, and steamfitters	2: Male	1,599	414,524	96.65	2.76	0.42	2.76±0.42
585	Plumbers, pipefitters, and steamfitters	3: Female	24	5,314	92.31	1.00	0.00	1.00±0.00
585	Plumbers, pipefitters, and steamfitters	4: White	1,458	380,160	96.43	2.66	0.42	2.66±0.42
585	Plumbers, pipefitters, and steamfitters	5: Black	138	32,057	97.78	3.70	0.93	3.70±0.93
585	Plumbers, pipefitters, and steamfitters	6: Other	27	7,622	100.00
585	Plumbers, pipefitters, and steamfitters	7: Hispanic	116	30,643	97.76	2.65	0.62	2.65±0.62
585	Plumbers, pipefitters, and steamfitters	8: NonHispanic	1,507	389,196	96.50	2.71	0.43	2.71±0.43
595	Roofers	1: Total	613	158,847	95.79	4.19	1.00	4.19±1.00
595	Roofers	2: Male	605	156,840	95.74	4.19	1.00	4.19±1.00
595	Roofers	3: Female	8	2,007	100.00
595	Roofers	4: White	530	139,456	95.61	3.95	1.07	3.95±1.07
595	Roofers	5: Black	66	14,822	96.20	6.82	1.70	6.82±1.70
595	Roofers	6: Other	17	4,569	100.00
595	Roofers	7: Hispanic	91	22,136	97.05	1.91	0.77	1.91±0.77
595	Roofers	8: NonHispanic	522	136,711	95.59	4.44	1.08	4.44±1.08
599	Construction trades, nec.	1: Total	662	169,750	93.72	3.45	0.72	3.45±0.72
599	Construction trades, nec.	2: Male	651	167,215	93.97	3.09	0.67	3.09±0.67
599	Construction trades, nec.	3: Female	11	2,535	76.85	9.68	3.71	9.68±3.71
599	Construction trades, nec.	4: White	570	149,659	93.03	3.46	0.74	3.46±0.74
599	Construction trades, nec.	5: Black	81	17,411	98.68	3.00	0.00	3.00±0.00
599	Construction trades, nec.	6: Other	11	2,680	100.00
599	Construction trades, nec.	7: Hispanic	70	17,771	94.98	7.56	3.50	7.56±3.50
599	Construction trades, nec.	8: NonHispanic	592	151,980	93.57	3.07	0.66	3.07±0.66
628	Supervisors, production occs	1: Total	4,333	1,092,668	96.39	2.67	0.27	2.67±0.27
628	Supervisors, production occs	2: Male	3,581	914,717	96.52	2.72	0.31	2.72±0.31
628	Supervisors, production occs	3: Female	752	177,951	95.73	2.45	0.50	2.45±0.50
628	Supervisors, production occs	4: White	3,811	972,493	96.45	2.75	0.31	2.75±0.31
628	Supervisors, production occs	5: Black	425	94,927	95.26	2.13	0.36	2.13±0.36
628	Supervisors, production occs	6: Other	97	25,248	98.40	2.00	0.00	2.00±0.00
628	Supervisors, production occs	7: Hispanic	322	81,072	96.96	3.47	1.23	3.47±1.23
628	Supervisors, production occs	8: NonHispanic	4,011	1,011,596	96.34	2.62	0.28	2.62±0.28
634	Tool and die makers	1: Total	551	143,231	98.24	3.15	0.90	3.15±0.90
634	Tool and die makers	2: Male	540	140,484	98.20	3.15	0.90	3.15±0.90
634	Tool and die makers	3: Female	11	2,747	100.00
634	Tool and die makers	4: White	528	138,039	98.47	3.48	1.05	3.48±1.05
634	Tool and die makers	5: Black	13	2,693	92.45	2.00	0.00	2.00±0.00
634	Tool and die makers	6: Other	10	2,499	91.41	1.00	0.00	1.00±0.00
634	Tool and die makers	7: Hispanic	14	3,410	100.00
634	Tool and die makers	8: NonHispanic	537	139,821	98.19	3.15	0.90	3.15±0.90
637	Machinists	1: Total	2,049	522,513	95.47	2.72	0.35	2.72±0.35
637	Machinists	2: Male	1,949	499,347	95.59	2.72	0.38	2.72±0.38
637	Machinists	3: Female	100	23,166	92.96	2.75	0.78	2.75±0.78
637	Machinists	4: White	1,856	479,828	95.54	2.54	0.35	2.54±0.35
637	Machinists	5: Black	132	27,803	93.54	3.73	1.29	3.73±1.29
637	Machinists	6: Other	61	14,883	96.99	7.41	4.60	7.41±4.60
637	Machinists	7: Hispanic	135	34,779	93.85	3.49	1.41	3.49±1.41
637	Machinists	8: NonHispanic	1,914	487,734	95.59	2.64	0.37	2.64±0.37
653	Sheet metal workers	1: Total	549	143,964	96.00	1.73	0.23	1.73±0.23
653	Sheet metal workers	2: Male	505	133,631	95.94	1.59	0.22	1.59±0.22
653	Sheet metal workers	3: Female	44	10,332	96.69	4.00	0.00	4.00±0.00
653	Sheet metal workers	4: White	487	129,086	96.58	1.61	0.23	1.61±0.23
653	Sheet metal workers	5: Black	45	9,795	90.63	2.68	0.91	2.68±0.91
653	Sheet metal workers	6: Other	17	5,082	91.50	1.00	0.00	1.00±0.00
653	Sheet metal workers	7: Hispanic	39	9,645	95.14	2.02	0.71	2.02±0.71
653	Sheet metal workers	8: NonHispanic	510	134,318	96.06	1.71	0.26	1.71±0.26
666	Dressmakers	1: Total	499	123,787	95.68	3.08	0.68	3.08±0.68
666	Dressmakers	2: Male	29	7,254	100.00
666	Dressmakers	3: Female	470	116,533	95.41	3.08	0.68	3.08±0.68
666	Dressmakers	4: White	392	98,967	95.72	3.58	0.81	3.58±0.81
666	Dressmakers	5: Black	60	11,937	97.73	1.82	0.21	1.82±0.21
666	Dressmakers	6: Other	47	12,883	93.44	1.00	0.00	1.00±0.00
666	Dressmakers	7: Hispanic	66	16,560	98.65	2.00	0.00	2.00±0.00
666	Dressmakers	8: NonHispanic	433	107,227	95.22	3.13	0.71	3.13±0.71
683	Electrical/electronic equipment assemblers	1: Total	921	230,284	94.27	3.28	0.46	3.28±0.46
683	Electrical/electronic equipment assemblers	2: Male	279	71,527	97.04	3.20	0.90	3.20±0.90
683	Electrical/electronic equipment assemblers	3: Female	642	158,757	93.02	3.30	0.51	3.30±0.51
683	Electrical/electronic equipment assemblers	4: White	688	177,005	94.32	3.22	0.53	3.22±0.53
683	Electrical/electronic equipment assemblers	5: Black	130	27,767	91.56	3.92	1.15	3.92±1.15
683	Electrical/electronic equipment assemblers	6: Other	103	25,511	96.89	2.30	0.28	2.30±0.28
683	Electrical/electronic equipment assemblers	7: Hispanic	151	43,150	95.03	3.74	0.67	3.74±0.67
683	Electrical/electronic equipment assemblers	8: NonHispanic	770	187,134	94.09	3.20	0.53	3.20±0.53
686	Butchers and meat cutters	1: Total	844	213,405	96.21	4.63	0.77	4.63±0.77
686	Butchers and meat cutters	2: Male	660	170,028	96.39	4.18	0.78	4.18±0.78
686	Butchers and meat cutters	3: Female	184	43,376	95.49	6.06	1.87	6.06±1.87
686	Butchers and meat cutters	4: White	652	169,041	96.27	3.97	0.69	3.97±0.69
686	Butchers and meat cutters	5: Black	142	30,558	95.78	6.92	2.52	6.92±2.52
686	Butchers and meat cutters	6: Other	50	13,805	96.36	7.05	3.85	7.05±3.85
686	Butchers and meat cutters	7: Hispanic	101	24,788	97.88	7.09	4.05	7.09±4.05
686	Butchers and meat cutters	8: NonHispanic	743	188,617	95.99	4.46	0.76	4.46±0.76
687	Bakers	1: Total	499	128,093	96.42	2.39	0.41	2.39±0.41
687	Bakers	2: Male	275	72,067	96.81	2.48	0.19	2.48±0.19
687	Bakers	3: Female	224	56,026	95.92	2.30	0.79	2.30±0.79
687	Bakers	4: White	408	104,895	96.11	2.49	0.45	2.49±0.45
687	Bakers	5: Black	58	13,101	96.15	1.58	0.21	1.58±0.21
687	Bakers	6: Other	33	10,096	100.00
687	Bakers	7: Hispanic	63	17,322	100.00
687	Bakers	8: NonHispanic	436	110,771	95.86	2.39	0.41	2.39±0.41
689	Inspectors, testers, and graders	1: Total	542	137,766	93.77	2.84	0.62	2.84±0.62
689	Inspectors, testers, and graders	2: Male	400	102,203	94.17	3.35	0.88	3.35±0.88
689	Inspectors, testers, and graders	3: Female	142	35,562	92.64	1.66	0.44	1.66±0.44
689	Inspectors, testers, and graders	4: White	453	116,868	93.25	2.76	0.63	2.76±0.63
689	Inspectors, testers, and graders	5: Black	64	13,777	95.04	3.68	2.19	3.68±2.19
689	Inspectors, testers, and graders	6: Other	25	7,121	100.00
689	Inspectors, testers, and graders	7: Hispanic	33	7,815	94.15	2.92	1.41	2.92±1.41
689	Inspectors, testers, and graders	8: NonHispanic	509	129,951	93.75	2.83	0.64	2.83±0.64
696	Stationary engineers	1: Total	593	149,560	95.29	2.82	0.46	2.82±0.46
696	Stationary engineers	2: Male	570	144,091	95.44	2.85	0.49	2.85±0.49
696	Stationary engineers	3: Female	23	5,468	91.27	2.47	0.41	2.47±0.41
696	Stationary engineers	4: White	508	131,075	95.08	2.74	0.45	2.74±0.45
696	Stationary engineers	5: Black	65	13,386	95.54	3.68	2.16	3.68±2.16
696	Stationary engineers	6: Other	20	5,098	100.00
696	Stationary engineers	7: Hispanic	23	7,371	96.63	2.00	0.00	2.00±0.00
696	Stationary engineers	8: NonHispanic	570	142,189	95.22	2.85	0.48	2.85±0.48
706	Punching and stamping press machine operators	1: Total	503	126,355	95.24	3.22	0.78	3.22±0.78
706	Punching and stamping press machine operators	2: Male	353	89,818	96.83	2.45	0.38	2.45±0.38
706	Punching and stamping press machine operators	3: Female	150	36,536	91.34	3.91	1.35	3.91±1.35
706	Punching and stamping press machine operators	4: White	435	112,659	95.82	2.77	0.83	2.77±0.83
706	Punching and stamping press machine operators	5: Black	61	12,003	89.96	4.98	1.70	4.98±1.70
706	Punching and stamping press machine operators	6: Other	7	1,693	94.14	3.00	0.00	3.00±0.00
706	Punching and stamping press machine operators	7: Hispanic	50	12,198	96.25	1.99	0.71	1.99±0.71
706	Punching and stamping press machine operators	8: NonHispanic	453	114,156	95.13	3.32	0.82	3.32±0.82
709	Grinding/abrading/buffing/polishing machine operators	1: Total	493	121,344	95.61	3.86	0.67	3.86±0.67
709	Grinding/abrading/buffing/polishing machine operators	2: Male	407	99,658	95.98	4.04	0.85	4.04±0.85
709	Grinding/abrading/buffing/polishing machine operators	3: Female	86	21,686	93.95	3.34	0.85	3.34±0.85
709	Grinding/abrading/buffing/polishing machine operators	4: White	419	105,584	95.76	4.17	0.77	4.17±0.77
709	Grinding/abrading/buffing/polishing machine operators	5: Black	64	13,419	93.69	2.27	0.85	2.27±0.85
709	Grinding/abrading/buffing/polishing machine operators	6: Other	10	2,341	100.00
709	Grinding/abrading/buffing/polishing machine operators	7: Hispanic	58	15,410	97.32	1.45	0.35	1.45±0.35
709	Grinding/abrading/buffing/polishing machine operators	8: NonHispanic	435	105,934	95.36	4.07	0.71	4.07±0.71
719	Molding and casting machine operators	1: Total	412	103,758	94.32	3.37	0.65	3.37±0.65
719	Molding and casting machine operators	2: Male	300	76,325	95.23	4.03	0.98	4.03±0.98
719	Molding and casting machine operators	3: Female	112	27,432	91.79	2.32	0.31	2.32±0.31
719	Molding and casting machine operators	4: White	340	86,981	94.57	2.94	0.70	2.94±0.70
719	Molding and casting machine operators	5: Black	61	14,078	91.71	5.13	1.25	5.13±1.25
719	Molding and casting machine operators	6: Other	11	2,699	100.00
719	Molding and casting machine operators	7: Hispanic	44	11,795	100.00
719	Molding and casting machine operators	8: NonHispanic	368	91,963	93.59	3.37	0.65	3.37±0.65
734	Printing press operators	1: Total	1,233	323,661	96.79	2.56	0.35	2.56±0.35
734	Printing press operators	2: Male	1,026	274,255	96.87	2.42	0.38	2.42±0.38
734	Printing press operators	3: Female	207	49,407	96.36	3.20	0.78	3.20±0.78
734	Printing press operators	4: White	1,066	284,389	96.57	2.43	0.35	2.43±0.35
734	Printing press operators	5: Black	122	26,343	99.34	1.00	0.00	1.00±0.00
734	Printing press operators	6: Other	45	12,929	96.53	5.96	0.71	5.96±0.71
734	Printing press operators	7: Hispanic	109	29,482	96.40	4.22	1.47	4.22±1.47
734	Printing press operators	8: NonHispanic	1,124	294,180	96.83	2.37	0.34	2.37±0.34
744	Textile sewing machine operators	1: Total	2,719	656,092	95.82	2.68	0.25	2.68±0.25
744	Textile sewing machine operators	2: Male	257	65,258	97.04	2.85	0.70	2.85±0.70
744	Textile sewing machine operators	3: Female	2,462	590,833	95.69	2.67	0.26	2.67±0.26
744	Textile sewing machine operators	4: White	1,900	475,318	95.45	2.49	0.27	2.49±0.27
744	Textile sewing machine operators	5: Black	600	125,913	96.14	3.48	0.65	3.48±0.65
744	Textile sewing machine operators	6: Other	219	54,860	98.29	2.87	0.79	2.87±0.79
744	Textile sewing machine operators	7: Hispanic	519	125,255	96.55	3.10	0.61	3.10±0.61
744	Textile sewing machine operators	8: NonHispanic	2,200	530,836	95.65	2.60	0.27	2.60±0.27
747	Pressing machine operators	1: Total	568	131,707	96.33	2.51	0.43	2.51±0.43
747	Pressing machine operators	2: Male	201	48,482	97.95	2.54	0.75	2.54±0.75
747	Pressing machine operators	3: Female	367	83,225	95.40	2.50	0.51	2.50±0.51
747	Pressing machine operators	4: White	349	89,223	96.96	2.86	0.72	2.86±0.72
747	Pressing machine operators	5: Black	189	35,105	93.97	2.07	0.32	2.07±0.32
747	Pressing machine operators	6: Other	30	7,379	100.00
747	Pressing machine operators	7: Hispanic	94	21,240	97.87	2.50	0.35	2.50±0.35
747	Pressing machine operators	8: NonHispanic	474	110,467	96.04	2.51	0.47	2.51±0.47
748	Laundering and dry cleaning machine operators	1: Total	734	174,095	95.27	2.73	0.61	2.73±0.61
748	Laundering and dry cleaning machine operators	2: Male	281	70,523	96.62	4.79	1.75	4.79±1.75
748	Laundering and dry cleaning machine operators	3: Female	453	103,572	94.35	1.89	0.24	1.89±0.24
748	Laundering and dry cleaning machine operators	4: White	501	127,444	94.80	2.91	0.76	2.91±0.76
748	Laundering and dry cleaning machine operators	5: Black	201	37,646	96.22	2.11	0.39	2.11±0.39
748	Laundering and dry cleaning machine operators	6: Other	32	9,005	97.94	1.00	0.00	1.00±0.00
748	Laundering and dry cleaning machine operators	7: Hispanic	108	26,935	98.28	2.00	0.00	2.00±0.00
748	Laundering and dry cleaning machine operators	8: NonHispanic	626	147,160	94.72	2.78	0.65	2.78±0.65
754	Packaging and filling machine operators	1: Total	1,556	381,818	95.63	2.78	0.40	2.78±0.40
754	Packaging and filling machine operators	2: Male	551	143,451	95.97	2.17	0.30	2.17±0.30
754	Packaging and filling machine operators	3: Female	1,005	238,367	95.42	3.10	0.56	3.10±0.56
754	Packaging and filling machine operators	4: White	1,197	300,360	95.39	2.69	0.43	2.69±0.43
754	Packaging and filling machine operators	5: Black	287	61,369	97.17	2.74	0.63	2.74±0.63
754	Packaging and filling machine operators	6: Other	72	20,088	94.36	3.89	2.31	3.89±2.31
754	Packaging and filling machine operators	7: Hispanic	326	81,690	96.44	1.72	0.19	1.72±0.19
754	Packaging and filling machine operators	8: NonHispanic	1,230	300,127	95.40	3.00	0.48	3.00±0.48
756	Mixing and blending machine operators	1: Total	491	123,593	95.20	2.79	0.52	2.79±0.52
756	Mixing and blending machine operators	2: Male	430	108,557	94.91	2.63	0.55	2.63±0.55
756	Mixing and blending machine operators	3: Female	61	15,036	97.31	4.90	1.41	4.90±1.41
756	Mixing and blending machine operators	4: White	389	101,261	94.71	2.81	0.56	2.81±0.56
756	Mixing and blending machine operators	5: Black	94	20,328	97.18	2.54	1.01	2.54±1.01
756	Mixing and blending machine operators	6: Other	8	2,005	100.00
756	Mixing and blending machine operators	7: Hispanic	64	15,189	96.82	1.53	0.35	1.53±0.35
756	Mixing and blending machine operators	8: NonHispanic	427	108,403	94.98	2.90	0.56	2.90±0.56
759	Painting and paint spraying machine operators	1: Total	734	184,736	96.12	3.16	0.63	3.16±0.63
759	Painting and paint spraying machine operators	2: Male	621	157,929	96.47	2.66	0.61	2.66±0.61
759	Painting and paint spraying machine operators	3: Female	113	26,807	94.04	4.90	1.46	4.90±1.46
759	Painting and paint spraying machine operators	4: White	595	152,631	96.18	3.07	0.71	3.07±0.71
759	Painting and paint spraying machine operators	5: Black	111	24,561	96.42	4.88	1.26	4.88±1.26
759	Painting and paint spraying machine operators	6: Other	28	7,544	93.81	1.00	0.00	1.00±0.00
759	Painting and paint spraying machine operators	7: Hispanic	126	31,543	95.08	2.84	1.08	2.84±1.08
759	Painting and paint spraying machine operators	8: NonHispanic	608	153,193	96.33	3.24	0.75	3.24±0.75
769	Slicing and cutting machine operators	1: Total	821	204,112	95.88	3.06	0.54	3.06±0.54
769	Slicing and cutting machine operators	2: Male	570	144,479	96.52	3.84	0.93	3.84±0.93
769	Slicing and cutting machine operators	3: Female	251	59,633	94.35	1.90	0.28	1.90±0.28
769	Slicing and cutting machine operators	4: White	641	163,199	95.84	2.27	0.37	2.27±0.37
769	Slicing and cutting machine operators	5: Black	146	31,649	95.69	4.96	2.00	4.96±2.00
769	Slicing and cutting machine operators	6: Other	34	9,264	97.31	14.00	0.00	14.00±0.00
769	Slicing and cutting machine operators	7: Hispanic	119	31,205	96.79	1.98	0.54	1.98±0.54
769	Slicing and cutting machine operators	8: NonHispanic	702	172,907	95.72	3.20	0.62	3.20±0.62
777	Miscellaneous machine operators	1: Total	3,648	912,207	95.62	2.84	0.28	2.84±0.28
777	Miscellaneous machine operators	2: Male	2,457	629,255	96.21	2.32	0.29	2.32±0.29
777	Miscellaneous machine operators	3: Female	1,191	282,952	94.32	3.60	0.48	3.60±0.48
777	Miscellaneous machine operators	4: White	2,831	728,381	95.63	2.66	0.29	2.66±0.29
777	Miscellaneous machine operators	5: Black	678	148,646	94.90	3.68	0.62	3.68±0.62
777	Miscellaneous machine operators	6: Other	139	35,180	98.52	1.16	0.17	1.16±0.17
777	Miscellaneous machine operators	7: Hispanic	466	117,840	96.51	2.57	0.37	2.57±0.37
777	Miscellaneous machine operators	8: NonHispanic	3,182	794,367	95.49	2.87	0.30	2.87±0.30
779	Machine operators, not specified	1: Total	2,122	528,820	95.22	3.51	0.40	3.51±0.40
779	Machine operators, not specified	2: Male	1,427	362,688	96.31	3.81	0.63	3.81±0.63
779	Machine operators, not specified	3: Female	695	166,133	92.85	3.16	0.48	3.16±0.48
779	Machine operators, not specified	4: White	1,672	425,180	95.31	3.24	0.45	3.24±0.45
779	Machine operators, not specified	5: Black	383	84,933	94.82	4.22	0.86	4.22±0.86
779	Machine operators, not specified	6: Other	67	18,707	95.03	5.84	2.93	5.84±2.93
779	Machine operators, not specified	7: Hispanic	217	55,980	98.38	2.21	0.81	2.21±0.81
779	Machine operators, not specified	8: NonHispanic	1,905	472,840	94.85	3.56	0.41	3.56±0.41
783	Welders and cutters	1: Total	2,341	597,287	95.04	2.75	0.28	2.75±0.28
783	Welders and cutters	2: Male	2,229	570,138	95.26	2.62	0.27	2.62±0.27
783	Welders and cutters	3: Female	112	27,148	90.35	4.06	1.34	4.06±1.34
783	Welders and cutters	4: White	2,032	523,193	95.19	2.65	0.28	2.65±0.28
783	Welders and cutters	5: Black	245	56,454	95.30	4.49	1.39	4.49±1.39
783	Welders and cutters	6: Other	64	17,640	89.88	1.62	0.50	1.62±0.50
783	Welders and cutters	7: Hispanic	256	65,552	96.49	2.71	0.65	2.71±0.65
783	Welders and cutters	8: NonHispanic	2,085	531,734	94.86	2.75	0.30	2.75±0.30
785	Assemblers	1: Total	4,153	1,026,023	94.68	2.66	0.22	2.66±0.22
785	Assemblers	2: Male	2,189	553,313	95.37	2.59	0.27	2.59±0.27
785	Assemblers	3: Female	1,964	472,709	93.88	2.73	0.31	2.73±0.31
785	Assemblers	4: White	3,268	828,216	94.85	2.54	0.21	2.54±0.21
785	Assemblers	5: Black	694	149,750	92.71	3.31	0.57	3.31±0.57
785	Assemblers	6: Other	191	48,057	97.91	1.00	0.00	1.00±0.00
785	Assemblers	7: Hispanic	488	119,226	95.61	3.53	0.80	3.53±0.80
785	Assemblers	8: NonHispanic	3,665	906,797	94.56	2.57	0.23	2.57±0.23
796	Production inspectors, checkers, and examiners	1: Total	2,306	571,665	94.84	3.31	0.34	3.31±0.34
796	Production inspectors, checkers, and examiners	2: Male	1,011	259,447	95.73	2.95	0.38	2.95±0.38
796	Production inspectors, checkers, and examiners	3: Female	1,295	312,218	94.09	3.53	0.48	3.53±0.48
796	Production inspectors, checkers, and examiners	4: White	1,836	465,378	95.02	3.61	0.42	3.61±0.42
796	Production inspectors, checkers, and examiners	5: Black	374	82,496	94.23	2.35	0.52	2.35±0.52
796	Production inspectors, checkers, and examiners	6: Other	96	23,790	93.40	1.81	0.24	1.81±0.24
796	Production inspectors, checkers, and examiners	7: Hispanic	220	55,311	95.72	4.34	1.64	4.34±1.64
796	Production inspectors, checkers, and examiners	8: NonHispanic	2,086	516,354	94.74	3.22	0.35	3.22±0.35
799	Graders and sorters, except agricultural	1: Total	529	125,068	95.48	2.44	0.52	2.44±0.52
799	Graders and sorters, except agricultural	2: Male	209	51,576	95.45	3.12	1.06	3.12±1.06
799	Graders and sorters, except agricultural	3: Female	320	73,492	95.50	1.95	0.45	1.95±0.45
799	Graders and sorters, except agricultural	4: White	388	94,950	95.87	2.56	0.72	2.56±0.72
799	Graders and sorters, except agricultural	5: Black	116	23,863	93.55	1.79	0.40	1.79±0.40
799	Graders and sorters, except agricultural	6: Other	25	6,254	96.83	5.00	0.00	5.00±0.00
799	Graders and sorters, except agricultural	7: Hispanic	125	29,707	97.19	3.20	1.01	3.20±1.01
799	Graders and sorters, except agricultural	8: NonHispanic	404	95,361	94.95	2.31	0.56	2.31±0.56
804	Truck drivers	1: Total	10,449	2,640,585	96.44	3.37	0.18	3.37±0.18
804	Truck drivers	2: Male	9,987	2,528,749	96.60	3.34	0.19	3.34±0.19
804	Truck drivers	3: Female	462	111,836	92.91	3.69	0.47	3.69±0.47
804	Truck drivers	4: White	8,690	2,232,215	96.53	3.35	0.20	3.35±0.20
804	Truck drivers	5: Black	1,567	356,271	95.80	3.51	0.40	3.51±0.40
804	Truck drivers	6: Other	192	52,099	97.09	3.01	0.83	3.01±0.83
804	Truck drivers	7: Hispanic	784	207,490	95.27	3.47	0.73	3.47±0.73
804	Truck drivers	8: NonHispanic	9,665	2,433,095	96.54	3.35	0.19	3.35±0.19
806	Driver-sales workers	1: Total	570	146,319	98.20	2.02	0.36	2.02±0.36
806	Driver-sales workers	2: Male	509	131,897	98.49	1.68	0.24	1.68±0.24
806	Driver-sales workers	3: Female	61	14,422	95.60	3.09	0.96	3.09±0.96
806	Driver-sales workers	4: White	525	135,799	98.06	2.02	0.36	2.02±0.36
806	Driver-sales workers	5: Black	33	7,422	100.00
806	Driver-sales workers	6: Other	12	3,098	100.00
806	Driver-sales workers	7: Hispanic	37	9,755	100.00
806	Driver-sales workers	8: NonHispanic	533	136,564	98.08	2.02	0.36	2.02±0.36
808	Bus drivers	1: Total	1,845	437,321	95.10	2.93	0.27	2.93±0.27
808	Bus drivers	2: Male	939	223,457	96.03	2.93	0.54	2.93±0.54
808	Bus drivers	3: Female	906	213,865	94.12	2.93	0.30	2.93±0.30
808	Bus drivers	4: White	1,283	322,937	95.50	2.95	0.42	2.95±0.42
808	Bus drivers	5: Black	521	103,439	93.31	2.88	0.31	2.88±0.31
808	Bus drivers	6: Other	41	10,945	100.00
808	Bus drivers	7: Hispanic	114	28,360	94.07	3.11	0.75	3.11±0.75
808	Bus drivers	8: NonHispanic	1,731	408,961	95.17	2.92	0.29	2.92±0.29
809	Taxicab drivers and chauffeurs	1: Total	777	198,640	96.09	3.75	0.99	3.75±0.99
809	Taxicab drivers and chauffeurs	2: Male	669	173,020	96.23	4.12	1.13	4.12±1.13
809	Taxicab drivers and chauffeurs	3: Female	108	25,620	95.13	1.82	0.55	1.82±0.55
809	Taxicab drivers and chauffeurs	4: White	504	132,486	95.46	3.90	1.26	3.90±1.26
809	Taxicab drivers and chauffeurs	5: Black	213	48,374	96.36	3.25	0.73	3.25±0.73
809	Taxicab drivers and chauffeurs	6: Other	60	17,779	100.00
809	Taxicab drivers and chauffeurs	7: Hispanic	77	21,138	95.06	4.36	1.00	4.36±1.00
809	Taxicab drivers and chauffeurs	8: NonHispanic	700	177,502	96.21	3.66	1.15	3.66±1.15
844	Operating engineers	1: Total	986	253,326	96.14	3.46	0.66	3.46±0.66
844	Operating engineers	2: Male	968	247,849	96.05	3.46	0.66	3.46±0.66
844	Operating engineers	3: Female	18	5,477	100.00
844	Operating engineers	4: White	870	225,841	96.16	3.21	0.68	3.21±0.68
844	Operating engineers	5: Black	89	20,881	94.63	5.42	2.33	5.42±2.33
844	Operating engineers	6: Other	27	6,605	100.00
844	Operating engineers	7: Hispanic	60	14,692	96.89	6.91	1.41	6.91±1.41
844	Operating engineers	8: NonHispanic	926	238,634	96.09	3.29	0.63	3.29±0.63
856	Industrial truck and tractor equipment operators	1: Total	1,816	450,241	95.65	3.29	0.33	3.29±0.33
856	Industrial truck and tractor equipment operators	2: Male	1,704	424,058	95.85	3.13	0.38	3.13±0.38
856	Industrial truck and tractor equipment operators	3: Female	112	26,183	92.33	4.61	1.72	4.61±1.72
856	Industrial truck and tractor equipment operators	4: White	1,404	355,429	95.86	3.53	0.41	3.53±0.41
856	Industrial truck and tractor equipment operators	5: Black	386	87,722	94.65	2.63	0.54	2.63±0.54
856	Industrial truck and tractor equipment operators	6: Other	26	7,090	97.12	1.00	0.00	1.00±0.00
856	Industrial truck and tractor equipment operators	7: Hispanic	200	50,177	93.46	3.33	0.87	3.33±0.87
856	Industrial truck and tractor equipment operators	8: NonHispanic	1,616	400,064	95.92	3.28	0.35	3.28±0.35
859	Miscellaneous material moving equipment operators	1: Total	456	117,109	95.71	4.61	1.67	4.61±1.67
859	Miscellaneous material moving equipment operators	2: Male	377	98,087	95.76	4.19	1.28	4.19±1.28
859	Miscellaneous material moving equipment operators	3: Female	79	19,023	95.45	6.64	3.45	6.64±3.45
859	Miscellaneous material moving equipment operators	4: White	372	96,955	95.82	5.21	1.90	5.21±1.90
859	Miscellaneous material moving equipment operators	5: Black	72	16,993	94.25	2.12	0.45	2.12±0.45
859	Miscellaneous material moving equipment operators	6: Other	12	3,161	100.00
859	Miscellaneous material moving equipment operators	7: Hispanic	38	9,740	100.00
859	Miscellaneous material moving equipment operators	8: NonHispanic	418	107,369	95.32	4.61	1.67	4.61±1.67
869	Construction laborers	1: Total	2,707	697,191	96.84	3.50	0.41	3.50±0.41
869	Construction laborers	2: Male	2,625	676,315	96.87	3.53	0.43	3.53±0.43
869	Construction laborers	3: Female	82	20,877	95.84	2.69	0.66	2.69±0.66
869	Construction laborers	4: White	2,216	585,900	96.83	3.46	0.48	3.46±0.48
869	Construction laborers	5: Black	440	97,045	96.88	3.48	0.78	3.48±0.78
869	Construction laborers	6: Other	51	14,246	96.93	5.00	0.00	5.00±0.00
869	Construction laborers	7: Hispanic	427	111,458	97.61	2.25	0.48	2.25±0.48
869	Construction laborers	8: NonHispanic	2,280	585,733	96.69	3.67	0.45	3.67±0.45
877	Stock handlers and baggers	1: Total	2,534	650,044	95.74	2.61	0.24	2.61±0.24
877	Stock handlers and baggers	2: Male	1,724	449,704	96.51	2.79	0.36	2.79±0.36
877	Stock handlers and baggers	3: Female	810	200,340	94.02	2.37	0.30	2.37±0.30
877	Stock handlers and baggers	4: White	2,113	550,640	95.60	2.52	0.22	2.52±0.22
877	Stock handlers and baggers	5: Black	345	77,266	95.53	3.25	1.11	3.25±1.11
877	Stock handlers and baggers	6: Other	76	22,138	100.00
877	Stock handlers and baggers	7: Hispanic	257	66,614	96.00	2.03	0.68	2.03±0.68
877	Stock handlers and baggers	8: NonHispanic	2,277	583,430	95.71	2.67	0.26	2.67±0.26
883	Freight, stock, and material handlers, nec.	1: Total	2,235	571,810	95.60	2.46	0.25	2.46±0.25
883	Freight, stock, and material handlers, nec.	2: Male	1,967	508,323	95.53	2.35	0.26	2.35±0.26
883	Freight, stock, and material handlers, nec.	3: Female	268	63,486	96.17	3.52	0.74	3.52±0.74
883	Freight, stock, and material handlers, nec.	4: White	1,724	450,810	95.23	2.50	0.28	2.50±0.28
883	Freight, stock, and material handlers, nec.	5: Black	455	105,087	97.28	2.31	0.49	2.31±0.49
883	Freight, stock, and material handlers, nec.	6: Other	56	15,913	95.15	1.96	0.50	1.96±0.50
883	Freight, stock, and material handlers, nec.	7: Hispanic	194	50,866	94.95	4.42	1.25	4.42±1.25
883	Freight, stock, and material handlers, nec.	8: NonHispanic	2,041	520,944	95.67	2.24	0.22	2.24±0.22
885	Garage and service station related occs	1: Total	611	158,092	96.06	3.64	1.06	3.64±1.06
885	Garage and service station related occs	2: Male	571	147,764	96.20	3.31	1.04	3.31±1.04
885	Garage and service station related occs	3: Female	40	10,328	94.13	6.67	4.03	6.67±4.03
885	Garage and service station related occs	4: White	517	138,660	95.89	3.19	1.03	3.19±1.03
885	Garage and service station related occs	5: Black	83	16,431	96.78	8.48	3.50	8.48±3.50
885	Garage and service station related occs	6: Other	11	3,002	100.00
885	Garage and service station related occs	7: Hispanic	65	18,420	93.68	3.45	2.92	3.45±2.92
885	Garage and service station related occs	8: NonHispanic	546	139,673	96.38	3.69	1.04	3.69±1.04
887	Vehicle washers and equipment cleaners	1: Total	676	167,519	95.92	3.33	0.70	3.33±0.70
887	Vehicle washers and equipment cleaners	2: Male	590	147,892	96.40	2.96	0.75	2.96±0.75
887	Vehicle washers and equipment cleaners	3: Female	86	19,627	92.28	4.64	1.62	4.64±1.62
887	Vehicle washers and equipment cleaners	4: White	483	125,081	95.83	3.54	0.79	3.54±0.79
887	Vehicle washers and equipment cleaners	5: Black	176	38,325	95.75	2.67	1.17	2.67±1.17
887	Vehicle washers and equipment cleaners	6: Other	17	4,113	100.00
887	Vehicle washers and equipment cleaners	7: Hispanic	90	23,866	96.76	2.70	0.93	2.70±0.93
887	Vehicle washers and equipment cleaners	8: NonHispanic	586	143,653	95.78	3.41	0.78	3.41±0.78
888	Hand packers and packagers	1: Total	1,009	245,670	95.58	2.71	0.37	2.71±0.37
888	Hand packers and packagers	2: Male	349	87,741	95.24	2.92	0.71	2.92±0.71
888	Hand packers and packagers	3: Female	660	157,929	95.77	2.58	0.48	2.58±0.48
888	Hand packers and packagers	4: White	779	195,457	95.67	2.88	0.45	2.88±0.45
888	Hand packers and packagers	5: Black	185	38,411	97.10	1.77	0.56	1.77±0.56
888	Hand packers and packagers	6: Other	45	11,801	89.18	2.41	0.61	2.41±0.61
888	Hand packers and packagers	7: Hispanic	147	36,892	95.38	3.90	1.50	3.90±1.50
888	Hand packers and packagers	8: NonHispanic	862	208,778	95.62	2.49	0.35	2.49±0.35
889	Laborers, except construction	1: Total	5,004	1,250,422	95.67	2.35	0.15	2.35±0.15
889	Laborers, except construction	2: Male	3,858	981,803	96.12	2.37	0.18	2.37±0.18
889	Laborers, except construction	3: Female	1,146	268,620	93.99	2.32	0.24	2.32±0.24
889	Laborers, except construction	4: White	3,872	994,022	95.64	2.23	0.16	2.23±0.16
889	Laborers, except construction	5: Black	984	216,372	95.51	2.98	0.37	2.98±0.37
889	Laborers, except construction	6: Other	148	40,029	97.16	1.96	0.48	1.96±0.48
889	Laborers, except construction	7: Hispanic	543	138,228	96.01	2.12	0.33	2.12±0.33
889	Laborers, except construction	8: NonHispanic	4,461	1,112,194	95.62	2.38	0.15	2.38±0.15