Table 6. Average Number of Lost Work Days (≥ 1) in the past 2 weeks by 206 Occupations
					Acute Disability
	Occupation 206 Classes	Group	Sample Size	Population Estimates	Estimated Prevalence of  0 Lost Work Days in Prior 2 Weeks	Average # days among particpants having at least 1 Lost Work Day in Prior 2 Weeks	Standard Error of Average # Lost Work Days	X+SE
5	Administrators/officials, public administration	1: Total	1,737	434,916	93.35	2.29	0.19	2.29±0.19
5	Administrators/officials, public administration	2: Male	917	237,832	95.27	2.72	0.41	2.72±0.41
5	Administrators/officials, public administration	3: Female	820	197,084	91.04	2.01	0.23	2.01±0.23
5	Administrators/officials, public administration	4: White	1,490	377,045	93.41	2.34	0.23	2.34±0.23
5	Administrators/officials, public administration	5: Black	184	40,408	93.15	1.94	0.75	1.94±0.75
5	Administrators/officials, public administration	6: Other	63	17,464	92.54	2.02	0.40	2.02±0.40
5	Administrators/officials, public administration	7: Hispanic	75	19,368	91.23	2.27	0.85	2.27±0.85
5	Administrators/officials, public administration	8: NonHispanic	1,662	415,549	93.45	2.29	0.20	2.29±0.20
7	Financial managers	1: Total	2,050	516,489	95.28	2.53	0.28	2.53±0.28
7	Financial managers	2: Male	1,122	290,553	96.85	2.93	0.52	2.93±0.52
7	Financial managers	3: Female	928	225,936	93.25	2.28	0.34	2.28±0.34
7	Financial managers	4: White	1,866	470,184	95.26	2.62	0.30	2.62±0.30
7	Financial managers	5: Black	116	27,663	95.36	1.76	0.32	1.76±0.32
7	Financial managers	6: Other	68	18,642	95.69	1.28	0.23	1.28±0.23
7	Financial managers	7: Hispanic	93	23,398	92.56	2.82	1.17	2.82±1.17
7	Financial managers	8: NonHispanic	1,957	493,091	95.41	2.50	0.29	2.50±0.29
8	Personnel and labor relations managers	1: Total	569	145,879	94.55	2.07	0.39	2.07±0.39
8	Personnel and labor relations managers	2: Male	272	70,491	95.50	1.88	0.55	1.88±0.55
8	Personnel and labor relations managers	3: Female	297	75,389	93.66	2.20	0.58	2.20±0.58
8	Personnel and labor relations managers	4: White	514	133,270	94.85	2.21	0.44	2.21±0.44
8	Personnel and labor relations managers	5: Black	45	9,918	88.98	1.17	0.16	1.17±0.16
8	Personnel and labor relations managers	6: Other	10	2,691	100.00
8	Personnel and labor relations managers	7: Hispanic	19	4,976	95.27	1.00	0.00	1.00±0.00
8	Personnel and labor relations managers	8: NonHispanic	550	140,903	94.52	2.10	0.40	2.10±0.40
9	Purchasing managers	1: Total	479	122,582	92.20	3.17	0.62	3.17±0.62
9	Purchasing managers	2: Male	305	80,853	94.11	2.64	0.80	2.64±0.80
9	Purchasing managers	3: Female	174	41,729	88.51	3.69	1.04	3.69±1.04
9	Purchasing managers	4: White	424	108,587	91.79	3.28	0.65	3.28±0.65
9	Purchasing managers	5: Black	41	10,684	93.99	1.58	0.66	1.58±0.66
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	92.09	3.17	0.62	3.17±0.62
13	Managers/marketing/advertising/PR	1: Total	2,502	637,557	94.73	3.53	0.39	3.53±0.39
13	Managers/marketing/advertising/PR	2: Male	1,694	435,903	95.91	3.93	0.57	3.93±0.57
13	Managers/marketing/advertising/PR	3: Female	808	201,654	92.18	3.08	0.54	3.08±0.54
13	Managers/marketing/advertising/PR	4: White	2,358	598,994	94.68	3.51	0.39	3.51±0.39
13	Managers/marketing/advertising/PR	5: Black	95	24,634	93.02	3.84	1.47	3.84±1.47
13	Managers/marketing/advertising/PR	6: Other	49	13,929	100.00
13	Managers/marketing/advertising/PR	7: Hispanic	90	24,947	95.53	1.57	0.23	1.57±0.23
13	Managers/marketing/advertising/PR	8: NonHispanic	2,412	612,611	94.70	3.60	0.39	3.60±0.39
14	Administrators, education and related fields	1: Total	2,131	532,733	94.41	2.97	0.32	2.97±0.32
14	Administrators, education and related fields	2: Male	980	250,290	95.80	3.17	0.61	3.17±0.61
14	Administrators, education and related fields	3: Female	1,151	282,442	93.18	2.86	0.37	2.86±0.37
14	Administrators, education and related fields	4: White	1,832	463,963	94.17	2.85	0.34	2.85±0.34
14	Administrators, education and related fields	5: Black	261	58,624	95.71	4.39	0.88	4.39±0.88
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	91.06	3.41	1.75	3.41±1.75
14	Administrators, education and related fields	8: NonHispanic	2,049	512,610	94.55	2.94	0.32	2.94±0.32
15	Managers, medicine and health	1: Total	1,009	257,406	93.61	2.75	0.43	2.75±0.43
15	Managers, medicine and health	2: Male	309	80,541	96.69	1.81	0.42	1.81±0.42
15	Managers, medicine and health	3: Female	700	176,865	92.21	2.94	0.50	2.94±0.50
15	Managers, medicine and health	4: White	870	225,557	93.69	2.85	0.49	2.85±0.49
15	Managers, medicine and health	5: Black	110	24,524	92.65	1.73	0.25	1.73±0.25
15	Managers, medicine and health	6: Other	29	7,325	94.53	4.00	0.00	4.00±0.00
15	Managers, medicine and health	7: Hispanic	43	11,755	86.17	4.77	2.04	4.77±2.04
15	Managers, medicine and health	8: NonHispanic	966	245,651	93.97	2.53	0.39	2.53±0.39
18	Managers, properties and real estate	1: Total	1,655	424,823	94.97	3.97	0.51	3.97±0.51
18	Managers, properties and real estate	2: Male	881	228,170	95.90	4.96	0.78	4.96±0.78
18	Managers, properties and real estate	3: Female	774	196,652	93.90	3.19	0.47	3.19±0.47
18	Managers, properties and real estate	4: White	1,482	384,861	95.08	3.71	0.41	3.71±0.41
18	Managers, properties and real estate	5: Black	135	29,675	96.05	2.51	0.44	2.51±0.44
18	Managers, properties and real estate	6: Other	38	10,286	87.98	9.26	2.56	9.26±2.56
18	Managers, properties and real estate	7: Hispanic	97	24,180	93.51	3.13	0.81	3.13±0.81
18	Managers, properties and real estate	8: NonHispanic	1,558	400,643	95.06	4.04	0.55	4.03±0.55
22	Managers and administrators	1: Total	33,553	8,609,388	95.44	3.36	0.09	3.36±0.09
22	Managers and administrators	2: Male	22,108	5,760,962	96.41	3.57	0.14	3.57±0.14
22	Managers and administrators	3: Female	11,445	2,848,426	93.47	3.13	0.11	3.13±0.11
22	Managers and administrators	4: White	30,560	7,891,127	95.49	3.29	0.09	3.29±0.09
22	Managers and administrators	5: Black	1,917	437,418	94.37	4.24	0.37	4.24±0.37
22	Managers and administrators	6: Other	1,076	280,842	95.76	3.61	0.57	3.61±0.57
22	Managers and administrators	7: Hispanic	1,622	424,777	95.20	3.00	0.35	3.00±0.35
22	Managers and administrators	8: NonHispanic	31,931	8,184,610	95.45	3.38	0.09	3.38±0.09
23	Accountants and auditors	1: Total	5,647	1,449,425	94.21	2.64	0.15	2.64±0.15
23	Accountants and auditors	2: Male	2,633	700,754	96.24	2.35	0.26	2.35±0.26
23	Accountants and auditors	3: Female	3,014	748,671	92.31	2.77	0.19	2.77±0.19
23	Accountants and auditors	4: White	4,865	1,258,209	94.40	2.50	0.16	2.50±0.16
23	Accountants and auditors	5: Black	466	106,603	92.36	3.43	0.51	3.43±0.51
23	Accountants and auditors	6: Other	316	84,613	93.78	3.27	0.57	3.27±0.57
23	Accountants and auditors	7: Hispanic	269	69,340	92.49	3.99	0.97	3.99±0.97
23	Accountants and auditors	8: NonHispanic	5,378	1,380,086	94.30	2.55	0.15	2.55±0.15
25	Other financial officers	1: Total	2,856	727,887	94.81	2.45	0.20	2.45±0.20
25	Other financial officers	2: Male	1,436	375,925	96.41	2.60	0.41	2.60±0.41
25	Other financial officers	3: Female	1,420	351,962	93.10	2.37	0.21	2.37±0.21
25	Other financial officers	4: White	2,558	655,800	94.61	2.48	0.21	2.48±0.21
25	Other financial officers	5: Black	191	44,236	96.10	2.28	0.54	2.28±0.54
25	Other financial officers	6: Other	107	27,850	97.47	1.39	0.32	1.39±0.32
25	Other financial officers	7: Hispanic	152	41,048	94.36	2.48	0.83	2.48±0.83
25	Other financial officers	8: NonHispanic	2,704	686,838	94.83	2.45	0.20	2.45±0.20
26	Management analysts	1: Total	823	207,706	94.45	2.80	0.44	2.80±0.44
26	Management analysts	2: Male	530	137,577	95.71	2.93	0.44	2.93±0.44
26	Management analysts	3: Female	293	70,129	91.97	2.67	0.63	2.67±0.63
26	Management analysts	4: White	749	190,942	94.65	2.66	0.47	2.66±0.47
26	Management analysts	5: Black	48	9,673	90.96	4.95	2.89	4.95±2.89
26	Management analysts	6: Other	26	7,090	93.87	2.00	0.00	2.00±0.00
26	Management analysts	7: Hispanic	26	6,690	95.33	1.00	0.00	1.00±0.00
26	Management analysts	8: NonHispanic	797	201,016	94.42	2.86	0.44	2.86±0.44
27	Personnel/training/labor relations specialists	1: Total	1,707	429,136	93.44	3.14	0.40	3.14±0.40
27	Personnel/training/labor relations specialists	2: Male	714	184,738	95.23	2.78	0.55	2.78±0.55
27	Personnel/training/labor relations specialists	3: Female	993	244,398	92.09	3.31	0.49	3.31±0.49
27	Personnel/training/labor relations specialists	4: White	1,448	368,799	93.24	3.27	0.43	3.27±0.43
27	Personnel/training/labor relations specialists	5: Black	219	50,123	94.78	2.38	0.69	2.38±0.69
27	Personnel/training/labor relations specialists	6: Other	40	10,214	94.16	1.24	0.22	1.24±0.22
27	Personnel/training/labor relations specialists	7: Hispanic	89	23,144	90.15	2.08	0.45	2.08±0.45
27	Personnel/training/labor relations specialists	8: NonHispanic	1,618	405,992	93.63	3.24	0.43	3.24±0.43
29	Buyers, wholesale/retail trade except farm products	1: Total	736	191,990	92.85	3.42	0.60	3.42±0.60
29	Buyers, wholesale/retail trade except farm products	2: Male	323	84,773	94.54	3.09	0.50	3.09±0.50
29	Buyers, wholesale/retail trade except farm products	3: Female	413	107,217	91.52	3.60	0.90	3.60±0.90
29	Buyers, wholesale/retail trade except farm products	4: White	698	182,261	92.47	3.42	0.60	3.42±0.60
29	Buyers, wholesale/retail trade except farm products	5: Black	24	5,199	100.00
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	92.64	3.48	0.62	3.48±0.62
33	Purchasing agents and buyers	1: Total	1,007	260,021	93.76	3.10	0.41	3.10±0.41
33	Purchasing agents and buyers	2: Male	523	135,805	92.42	3.02	0.57	3.02±0.57
33	Purchasing agents and buyers	3: Female	484	124,216	95.24	3.25	0.66	3.25±0.66
33	Purchasing agents and buyers	4: White	920	240,255	93.43	3.13	0.42	3.13±0.42
33	Purchasing agents and buyers	5: Black	73	16,511	97.38	2.29	0.49	2.29±0.49
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	93.61	3.13	0.42	3.13±0.42
36	Inspectors/compliance officers, except construction	1: Total	713	183,364	92.49	2.67	0.32	2.67±0.32
36	Inspectors/compliance officers, except construction	2: Male	487	126,705	92.73	2.38	0.34	2.38±0.34
36	Inspectors/compliance officers, except construction	3: Female	226	56,659	91.95	3.24	0.77	3.24±0.77
36	Inspectors/compliance officers, except construction	4: White	595	155,299	92.26	2.43	0.30	2.43±0.30
36	Inspectors/compliance officers, except construction	5: Black	99	22,404	93.34	4.90	1.75	4.90±1.75
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	90.70	3.04	1.54	3.04±1.54
36	Inspectors/compliance officers, except construction	8: NonHispanic	668	171,090	92.62	2.63	0.32	2.63±0.32
37	Management related occs	1: Total	1,476	371,203	92.29	2.62	0.29	2.62±0.29
37	Management related occs	2: Male	216	57,908	93.18	3.15	0.83	3.15±0.83
37	Management related occs	3: Female	1,260	313,295	92.13	2.53	0.30	2.53±0.30
37	Management related occs	4: White	1,244	319,117	92.03	2.52	0.30	2.52±0.30
37	Management related occs	5: Black	171	36,745	91.96	3.03	0.91	3.03±0.91
37	Management related occs	6: Other	61	15,341	98.61	9.00	0.00	9.00±0.00
37	Management related occs	7: Hispanic	84	21,261	87.37	2.81	0.59	2.81±0.59
37	Management related occs	8: NonHispanic	1,392	349,942	92.59	2.60	0.32	2.60±0.32
43	Architects	1: Total	680	176,710	94.35	2.97	0.44	2.97±0.44
43	Architects	2: Male	587	153,567	94.99	3.06	0.55	3.06±0.55
43	Architects	3: Female	93	23,143	90.09	2.70	0.69	2.70±0.69
43	Architects	4: White	623	162,108	95.25	2.76	0.46	2.76±0.46
43	Architects	5: Black	24	6,366	92.62	7.25	2.70	7.25±2.70
43	Architects	6: Other	33	8,236	77.89	2.78	0.71	2.78±0.71
43	Architects	7: Hispanic	50	12,774	96.50	3.64	1.05	3.64±1.05
43	Architects	8: NonHispanic	630	163,936	94.18	2.94	0.46	2.94±0.46
44	Aerospace	1: Total	452	115,384	94.28	2.25	0.60	2.25±0.60
44	Aerospace	2: Male	425	108,773	94.82	1.65	0.30	1.65±0.30
44	Aerospace	3: Female	27	6,612	85.39	5.80	3.40	5.80±3.40
44	Aerospace	4: White	408	104,395	94.45	1.77	0.31	1.77±0.31
44	Aerospace	5: Black	11	2,570	88.61	14.00	0.00	14.00±0.00
44	Aerospace	6: Other	33	8,418	93.87	1.00	0.00	1.00±0.00
44	Aerospace	7: Hispanic	13	3,735	92.98	7.00	0.00	7.00±0.00
44	Aerospace	8: NonHispanic	439	111,649	94.32	2.06	0.60	2.06±0.60
53	Civil	1: Total	1,015	264,614	95.75	1.94	0.31	1.94±0.31
53	Civil	2: Male	952	248,854	95.99	2.00	0.34	2.00±0.34
53	Civil	3: Female	63	15,759	91.99	1.50	0.21	1.50±0.21
53	Civil	4: White	897	233,004	95.68	1.92	0.33	1.92±0.33
53	Civil	5: Black	43	11,165	95.26	1.83	0.68	1.83±0.68
53	Civil	6: Other	75	20,444	96.82	2.39	0.72	2.39±0.72
53	Civil	7: Hispanic	48	13,090	98.03	10.00	0.00	10.00±0.00
53	Civil	8: NonHispanic	967	251,524	95.63	1.75	0.24	1.75±0.24
55	Electrical and electronic	1: Total	2,274	592,715	95.90	2.43	0.27	2.43±0.27
55	Electrical and electronic	2: Male	2,075	543,197	96.19	2.20	0.23	2.20±0.23
55	Electrical and electronic	3: Female	199	49,518	92.70	3.69	1.13	3.69±1.13
55	Electrical and electronic	4: White	1,989	518,640	95.73	2.20	0.24	2.20±0.24
55	Electrical and electronic	5: Black	109	28,944	96.18	7.82	2.69	7.82±2.69
55	Electrical and electronic	6: Other	176	45,131	97.65	1.46	0.30	1.46±0.30
55	Electrical and electronic	7: Hispanic	82	20,764	94.75	3.34	1.76	3.34±1.76
55	Electrical and electronic	8: NonHispanic	2,192	571,951	95.94	2.38	0.27	2.38±0.27
56	Industrial	1: Total	920	234,775	95.86	2.68	0.50	2.68±0.50
56	Industrial	2: Male	781	200,847	96.12	2.96	0.62	2.96±0.62
56	Industrial	3: Female	139	33,928	94.29	1.56	0.35	1.56±0.35
56	Industrial	4: White	824	210,888	95.87	2.63	0.55	2.63±0.55
56	Industrial	5: Black	52	11,813	93.62	3.81	0.55	3.81±0.55
56	Industrial	6: Other	44	12,074	97.93	1.00	0.00	1.00±0.00
56	Industrial	7: Hispanic	26	7,319	100.00
56	Industrial	8: NonHispanic	894	227,456	95.73	2.68	0.50	2.68±0.50
57	Mechanical	1: Total	1,255	330,773	95.93	3.58	0.50	3.58±0.50
57	Mechanical	2: Male	1,196	315,885	95.89	3.68	0.51	3.68±0.51
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	96.06	3.40	0.49	3.40±0.49
57	Mechanical	5: Black	51	15,201	92.95	4.35	2.10	4.35±2.10
57	Mechanical	6: Other	83	22,532	96.18	5.04	2.68	5.04±2.68
57	Mechanical	7: Hispanic	35	9,655	94.02	6.36	3.07	6.36±3.07
57	Mechanical	8: NonHispanic	1,220	321,118	95.99	3.45	0.48	3.45±0.48
59	Engineers	1: Total	1,081	285,379	95.77	2.32	0.44	2.32±0.44
59	Engineers	2: Male	987	262,140	95.82	2.45	0.47	2.45±0.47
59	Engineers	3: Female	94	23,239	95.18	1.00	0.00	1.00±0.00
59	Engineers	4: White	956	254,567	95.95	2.16	0.44	2.16±0.44
59	Engineers	5: Black	38	9,368	92.38	6.06	0.00	6.06±0.00
59	Engineers	6: Other	87	21,444	95.11	1.27	0.22	1.27±0.22
59	Engineers	7: Hispanic	41	10,556	95.51	1.00	0.00	1.00±0.00
59	Engineers	8: NonHispanic	1,040	274,823	95.78	2.37	0.45	2.37±0.45
64	Computer systems analysts and scientists	1: Total	2,168	564,743	93.24	2.07	0.15	2.07±0.15
64	Computer systems analysts and scientists	2: Male	1,493	393,336	94.52	1.91	0.18	1.91±0.18
64	Computer systems analysts and scientists	3: Female	675	171,407	90.30	2.27	0.27	2.27±0.27
64	Computer systems analysts and scientists	4: White	1,852	484,823	93.47	1.92	0.15	1.92±0.15
64	Computer systems analysts and scientists	5: Black	161	39,421	90.93	2.76	0.60	2.76±0.60
64	Computer systems analysts and scientists	6: Other	155	40,500	92.72	2.76	0.98	2.76±0.98
64	Computer systems analysts and scientists	7: Hispanic	64	17,252	87.83	1.70	0.37	1.70±0.37
64	Computer systems analysts and scientists	8: NonHispanic	2,104	547,491	93.41	2.09	0.15	2.09±0.15
65	Operations/systems researchers and analysts	1: Total	1,082	279,844	93.59	2.27	0.31	2.27±0.31
65	Operations/systems researchers and analysts	2: Male	610	163,791	94.90	2.00	0.35	2.00±0.35
65	Operations/systems researchers and analysts	3: Female	472	116,053	91.74	2.51	0.48	2.51±0.48
65	Operations/systems researchers and analysts	4: White	930	241,287	93.63	2.22	0.34	2.22±0.34
65	Operations/systems researchers and analysts	5: Black	99	25,216	90.55	2.44	0.75	2.44±0.75
65	Operations/systems researchers and analysts	6: Other	53	13,341	98.49	4.00	0.00	4.00±0.00
65	Operations/systems researchers and analysts	7: Hispanic	46	11,394	88.92	1.79	0.45	1.79±0.45
65	Operations/systems researchers and analysts	8: NonHispanic	1,036	268,451	93.79	2.31	0.32	2.31±0.32
73	Chemists, except biochemists	1: Total	476	124,271	94.71	1.78	0.22	1.78±0.22
73	Chemists, except biochemists	2: Male	360	95,013	94.76	1.86	0.28	1.86±0.28
73	Chemists, except biochemists	3: Female	116	29,258	94.56	1.53	0.27	1.53±0.27
73	Chemists, except biochemists	4: White	392	102,713	94.29	1.87	0.24	1.87±0.24
73	Chemists, except biochemists	5: Black	31	7,721	100.00
73	Chemists, except biochemists	6: Other	53	13,837	94.87	1.00	0.00	1.00±0.00
73	Chemists, except biochemists	7: Hispanic	18	4,617	87.92	1.00	0.00	1.00±0.00
73	Chemists, except biochemists	8: NonHispanic	458	119,654	94.97	1.85	0.24	1.85±0.24
84	Physicians	1: Total	2,193	564,555	97.12	3.15	0.41	3.15±0.41
84	Physicians	2: Male	1,713	444,900	97.75	3.67	0.59	3.67±0.59
84	Physicians	3: Female	480	119,655	94.78	2.30	0.48	2.30±0.48
84	Physicians	4: White	1,863	478,408	96.91	3.20	0.45	3.20±0.45
84	Physicians	5: Black	97	24,627	98.45	2.00	0.00	2.00±0.00
84	Physicians	6: Other	233	61,520	98.24	2.78	0.99	2.78±0.99
84	Physicians	7: Hispanic	124	34,042	91.63	3.42	1.09	3.42±1.09
84	Physicians	8: NonHispanic	2,069	530,513	97.48	3.09	0.43	3.09±0.43
85	Dentists	1: Total	557	139,120	98.27	4.26	1.58	4.26±1.58
85	Dentists	2: Male	484	121,213	98.47	5.08	1.95	5.08±1.95
85	Dentists	3: Female	73	17,908	96.92	1.48	0.35	1.48±0.35
85	Dentists	4: White	505	126,000	98.53	3.34	1.20	3.34±1.20
85	Dentists	5: Black	16	4,094	86.44	7.34	4.59	7.34±4.59
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	98.22	4.26	1.58	4.26±1.58
95	Registered nurses	1: Total	7,300	1,799,165	92.28	3.00	0.14	3.00±0.14
95	Registered nurses	2: Male	362	92,522	91.59	3.22	0.65	3.22±0.65
95	Registered nurses	3: Female	6,938	1,706,643	92.31	2.99	0.14	2.99±0.14
95	Registered nurses	4: White	6,131	1,537,400	92.45	2.91	0.15	2.91±0.15
95	Registered nurses	5: Black	815	172,626	90.37	3.84	0.43	3.84±0.43
95	Registered nurses	6: Other	354	89,139	92.98	2.40	0.35	2.40±0.35
95	Registered nurses	7: Hispanic	229	57,372	92.88	2.53	0.72	2.53±0.72
95	Registered nurses	8: NonHispanic	7,071	1,741,793	92.26	3.01	0.14	3.01±0.14
96	Pharmacists	1: Total	640	164,795	95.93	3.04	0.79	3.04±0.79
96	Pharmacists	2: Male	374	96,449	95.74	3.60	1.02	3.60±1.02
96	Pharmacists	3: Female	266	68,346	96.20	2.17	1.07	2.17±1.07
96	Pharmacists	4: White	578	148,253	95.97	3.23	0.85	3.23±0.85
96	Pharmacists	5: Black	18	4,373	97.07	2.00	0.00	2.00±0.00
96	Pharmacists	6: Other	44	12,169	95.07	1.47	0.51	1.47±0.51
96	Pharmacists	7: Hispanic	21	5,287	100.00
96	Pharmacists	8: NonHispanic	619	159,508	95.80	3.04	0.79	3.04±0.79
97	Dietitians	1: Total	426	105,770	95.02	3.90	0.90	3.90±0.90
97	Dietitians	2: Male	50	13,150	92.52	7.24	3.38	7.24±3.38
97	Dietitians	3: Female	376	92,621	95.38	3.14	0.58	3.14±0.58
97	Dietitians	4: White	293	76,547	95.02	2.58	0.70	2.58±0.70
97	Dietitians	5: Black	109	22,571	93.55	7.38	2.22	7.38±2.22
97	Dietitians	6: Other	24	6,653	100.00
97	Dietitians	7: Hispanic	24	7,683	84.72	4.14	0.95	4.14±0.95
97	Dietitians	8: NonHispanic	402	98,087	95.83	3.84	1.15	3.84±1.15
154	Postsecondary teachers, subject unspecified	1: Total	887	225,123	95.71	2.96	0.49	2.96±0.49
154	Postsecondary teachers, subject unspecified	2: Male	493	128,234	97.15	4.18	0.86	4.18±0.86
154	Postsecondary teachers, subject unspecified	3: Female	394	96,889	93.82	2.22	0.59	2.22±0.59
154	Postsecondary teachers, subject unspecified	4: White	699	177,407	95.30	2.68	0.44	2.68±0.44
154	Postsecondary teachers, subject unspecified	5: Black	66	15,509	96.04	2.89	0.45	2.89±0.45
154	Postsecondary teachers, subject unspecified	6: Other	122	32,207	97.85	6.46	2.45	6.46±2.45
154	Postsecondary teachers, subject unspecified	7: Hispanic	24	8,057	100.00
154	Postsecondary teachers, subject unspecified	8: NonHispanic	863	217,066	95.55	2.96	0.49	2.96±0.49
155	Teachers, pre-K and K	1: Total	1,650	408,944	92.96	2.60	0.31	2.60±0.31
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	92.96	2.61	0.31	2.61±0.31
155	Teachers, pre-K and K	4: White	1,348	344,094	92.97	2.58	0.35	2.58±0.35
155	Teachers, pre-K and K	5: Black	257	52,578	92.55	2.65	0.64	2.65±0.64
155	Teachers, pre-K and K	6: Other	45	12,272	94.38	2.91	0.48	2.91±0.48
155	Teachers, pre-K and K	7: Hispanic	99	25,558	91.34	5.90	1.95	5.90±1.95
155	Teachers, pre-K and K	8: NonHispanic	1,551	383,386	93.06	2.32	0.20	2.32±0.20
156	Teachers, elementary school	1: Total	6,236	1,524,602	93.72	2.55	0.12	2.55±0.12
156	Teachers, elementary school	2: Male	954	240,550	93.34	2.66	0.33	2.66±0.33
156	Teachers, elementary school	3: Female	5,282	1,284,053	93.79	2.53	0.13	2.53±0.13
156	Teachers, elementary school	4: White	5,452	1,361,322	93.78	2.37	0.12	2.37±0.12
156	Teachers, elementary school	5: Black	698	140,683	93.89	3.55	0.62	3.55±0.62
156	Teachers, elementary school	6: Other	86	22,597	88.77	5.14	1.17	5.14±1.17
156	Teachers, elementary school	7: Hispanic	248	63,217	92.75	2.93	0.63	2.93±0.63
156	Teachers, elementary school	8: NonHispanic	5,988	1,461,386	93.76	2.53	0.13	2.53±0.13
157	Teachers, secondary school	1: Total	4,792	1,207,921	94.27	2.15	0.14	2.15±0.14
157	Teachers, secondary school	2: Male	2,040	528,711	95.98	1.79	0.18	1.79±0.18
157	Teachers, secondary school	3: Female	2,752	679,210	92.94	2.31	0.18	2.31±0.18
157	Teachers, secondary school	4: White	4,275	1,096,317	94.29	1.97	0.12	1.97±0.12
157	Teachers, secondary school	5: Black	455	93,839	94.75	4.21	0.90	4.21±0.90
157	Teachers, secondary school	6: Other	62	17,764	90.56	2.58	0.47	2.58±0.47
157	Teachers, secondary school	7: Hispanic	173	46,830	94.45	1.16	0.11	1.16±0.11
157	Teachers, secondary school	8: NonHispanic	4,619	1,161,090	94.26	2.19	0.14	2.19±0.14
158	Teachers, special education	1: Total	1,017	252,519	92.34	2.65	0.32	2.65±0.32
158	Teachers, special education	2: Male	160	42,514	90.25	2.53	0.54	2.53±0.54
158	Teachers, special education	3: Female	857	210,005	92.76	2.69	0.38	2.69±0.38
158	Teachers, special education	4: White	878	219,377	93.08	2.66	0.38	2.66±0.38
158	Teachers, special education	5: Black	125	29,254	87.32	2.82	0.64	2.82±0.64
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	86.90	4.93	2.27	4.93±2.27
158	Teachers, special education	8: NonHispanic	981	243,139	92.55	2.50	0.29	2.50±0.29
159	Teachers	1: Total	2,162	545,219	94.33	2.61	0.24	2.61±0.24
159	Teachers	2: Male	794	207,073	94.90	2.09	0.26	2.09±0.26
159	Teachers	3: Female	1,368	338,146	93.98	2.88	0.33	2.88±0.33
159	Teachers	4: White	1,919	489,427	94.26	2.46	0.24	2.46±0.24
159	Teachers	5: Black	182	39,796	94.02	2.75	0.57	2.75±0.57
159	Teachers	6: Other	61	15,996	97.12	10.88	2.45	10.88±2.45
159	Teachers	7: Hispanic	89	22,091	93.22	4.40	1.90	4.40±1.90
159	Teachers	8: NonHispanic	2,073	523,129	94.38	2.52	0.23	2.52±0.23
163	Counselors, Educational and Vocational	1: Total	1,026	262,756	93.21	1.94	0.19	1.94±0.19
163	Counselors, Educational and Vocational	2: Male	349	92,738	94.86	1.39	0.14	1.39±0.14
163	Counselors, Educational and Vocational	3: Female	677	170,018	92.31	2.14	0.26	2.14±0.26
163	Counselors, Educational and Vocational	4: White	818	211,544	93.39	1.83	0.19	1.83±0.19
163	Counselors, Educational and Vocational	5: Black	175	40,618	93.99	2.08	0.56	2.08±0.56
163	Counselors, Educational and Vocational	6: Other	33	10,594	86.67	2.72	0.82	2.72±0.82
163	Counselors, Educational and Vocational	7: Hispanic	48	11,557	89.34	1.78	0.33	1.78±0.33
163	Counselors, Educational and Vocational	8: NonHispanic	978	251,198	93.39	1.95	0.21	1.95±0.20
164	Librarians	1: Total	737	185,788	93.59	2.93	0.49	2.93±0.49
164	Librarians	2: Male	104	27,565	95.88	3.05	1.50	3.05±1.50
164	Librarians	3: Female	633	158,222	93.19	2.92	0.52	2.92±0.52
164	Librarians	4: White	659	167,087	93.14	3.01	0.51	3.01±0.51
164	Librarians	5: Black	50	10,377	97.77	1.00	0.00	1.00±0.00
164	Librarians	6: Other	28	8,323	97.39	1.00	0.00	1.00±0.00
164	Librarians	7: Hispanic	24	6,860	100.00
164	Librarians	8: NonHispanic	713	178,927	93.34	2.93	0.49	2.93±0.49
166	Economists	1: Total	635	166,170	94.41	2.46	0.47	2.46±0.47
166	Economists	2: Male	364	97,324	96.99	3.59	1.00	3.59±1.00
166	Economists	3: Female	271	68,846	90.77	1.95	0.49	1.95±0.49
166	Economists	4: White	574	150,931	94.24	2.45	0.51	2.45±0.51
166	Economists	5: Black	38	8,685	93.25	2.68	1.68	2.68±1.68
166	Economists	6: Other	23	6,553	100.00
166	Economists	7: Hispanic	30	7,949	86.02	1.00	0.00	1.00±0.00
166	Economists	8: NonHispanic	605	158,220	94.84	2.66	0.53	2.66±0.53
167	Psychologists	1: Total	754	190,497	93.43	2.70	0.46	2.70±0.46
167	Psychologists	2: Male	320	82,506	94.70	1.32	0.16	1.32±0.16
167	Psychologists	3: Female	434	107,991	92.45	3.45	0.69	3.45±0.69
167	Psychologists	4: White	686	174,659	93.32	2.65	0.47	2.65±0.47
167	Psychologists	5: Black	56	12,367	97.29	7.34	0.00	7.34±0.00
167	Psychologists	6: Other	12	3,472	85.17	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	93.72	2.82	0.50	2.82±0.50
174	Social workers	1: Total	2,351	569,851	90.47	3.20	0.26	3.20±0.26
174	Social workers	2: Male	695	176,079	93.19	3.27	0.60	3.27±0.60
174	Social workers	3: Female	1,656	393,771	89.25	3.18	0.27	3.18±0.27
174	Social workers	4: White	1,765	441,564	90.58	2.78	0.25	2.78±0.25
174	Social workers	5: Black	532	114,755	89.39	4.70	0.60	4.70±0.60
174	Social workers	6: Other	54	13,531	96.16	1.00	0.00	1.00±0.00
174	Social workers	7: Hispanic	147	35,804	90.54	3.39	1.02	3.39±1.02
174	Social workers	8: NonHispanic	2,204	534,047	90.47	3.18	0.27	3.18±0.27
176	Clergy	1: Total	1,345	330,405	96.00	3.46	0.73	3.46±0.73
176	Clergy	2: Male	1,223	303,305	96.33	3.67	0.83	3.67±0.83
176	Clergy	3: Female	122	27,099	92.31	2.37	0.56	2.37±0.56
176	Clergy	4: White	1,157	286,145	96.10	3.64	0.81	3.64±0.81
176	Clergy	5: Black	155	35,690	95.03	2.74	0.64	2.74±0.64
176	Clergy	6: Other	33	8,570	96.96	1.00	0.00	1.00±0.00
176	Clergy	7: Hispanic	37	10,323	100.00
176	Clergy	8: NonHispanic	1,308	320,081	95.87	3.46	0.73	3.46±0.73
178	Lawyers	1: Total	2,854	747,311	95.73	2.64	0.33	2.64±0.33
178	Lawyers	2: Male	2,147	568,786	96.20	3.12	0.43	3.12±0.43
178	Lawyers	3: Female	707	178,525	94.22	1.63	0.24	1.63±0.24
178	Lawyers	4: White	2,673	700,998	95.64	2.69	0.34	2.69±0.34
178	Lawyers	5: Black	131	32,972	96.42	1.45	0.29	1.45±0.29
178	Lawyers	6: Other	50	13,340	98.44	1.00	0.00	1.00±0.00
178	Lawyers	7: Hispanic	92	24,022	94.87	1.77	0.31	1.77±0.31
178	Lawyers	8: NonHispanic	2,762	723,289	95.75	2.67	0.34	2.67±0.34
185	Designers	1: Total	2,037	526,843	92.68	3.00	0.25	3.00±0.25
185	Designers	2: Male	853	225,588	92.66	3.22	0.44	3.22±0.44
185	Designers	3: Female	1,184	301,255	92.70	2.83	0.27	2.83±0.27
185	Designers	4: White	1,874	485,631	92.80	3.18	0.27	3.18±0.27
185	Designers	5: Black	78	18,362	89.42	1.46	0.21	1.46±0.21
185	Designers	6: Other	85	22,851	92.79	1.12	0.12	1.12±0.12
185	Designers	7: Hispanic	123	31,508	91.07	5.65	1.36	5.65±1.36
185	Designers	8: NonHispanic	1,914	495,335	92.79	2.79	0.24	2.79±0.24
186	Musicians and composers	1: Total	647	171,362	97.47	4.00	0.91	4.00±0.91
186	Musicians and composers	2: Male	394	106,537	98.11	4.08	1.83	4.08±1.83
186	Musicians and composers	3: Female	253	64,825	96.42	3.93	0.92	3.93±0.92
186	Musicians and composers	4: White	561	149,422	97.47	2.70	0.53	2.70±0.53
186	Musicians and composers	5: Black	65	16,035	96.58	13.00	1.03	13.00±1.03
186	Musicians and composers	6: Other	21	5,906	100.00
186	Musicians and composers	7: Hispanic	43	10,895	95.92	1.46	0.00	1.46±0.00
186	Musicians and composers	8: NonHispanic	604	160,467	97.57	4.29	0.98	4.29±0.98
187	Actors and directors	1: Total	397	103,368	93.69	2.61	0.34	2.61±0.34
187	Actors and directors	2: Male	242	64,217	95.29	2.73	0.55	2.73±0.55
187	Actors and directors	3: Female	155	39,152	91.05	2.50	0.51	2.50±0.51
187	Actors and directors	4: White	367	94,457	93.78	2.65	0.35	2.65±0.35
187	Actors and directors	5: Black	18	6,067	89.25	2.23	0.67	2.23±0.67
187	Actors and directors	6: Other	12	2,844	100.00
187	Actors and directors	7: Hispanic	22	5,345	82.44	3.77	1.17	3.77±1.17
187	Actors and directors	8: NonHispanic	375	98,023	94.30	2.41	0.35	2.41±0.35
188	Painters/sculptors/craft-artists/artist printmakers	1: Total	928	243,308	93.83	3.35	0.41	3.35±0.41
188	Painters/sculptors/craft-artists/artist printmakers	2: Male	451	120,720	94.44	2.90	0.56	2.90±0.56
188	Painters/sculptors/craft-artists/artist printmakers	3: Female	477	122,587	93.23	3.71	0.52	3.71±0.52
188	Painters/sculptors/craft-artists/artist printmakers	4: White	853	223,410	93.64	3.37	0.42	3.37±0.42
188	Painters/sculptors/craft-artists/artist printmakers	5: Black	39	9,904	91.97	2.97	1.69	2.97±1.69
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	93.54	3.35	0.41	3.35±0.41
189	Photographers	1: Total	503	134,989	95.69	4.17	0.85	4.17±0.85
189	Photographers	2: Male	364	101,240	96.74	4.86	1.33	4.86±1.33
189	Photographers	3: Female	139	33,749	92.56	3.27	0.88	3.27±0.88
189	Photographers	4: White	462	125,085	95.58	4.27	0.89	4.27±0.89
189	Photographers	5: Black	28	6,256	95.47	2.18	0.21	2.18±0.21
189	Photographers	6: Other	13	3,648	100.00
189	Photographers	7: Hispanic	18	4,926	100.00
189	Photographers	8: NonHispanic	485	130,063	95.53	4.17	0.85	4.17±0.85
195	Editors and reporters	1: Total	933	247,967	93.63	2.90	0.36	2.90±0.36
195	Editors and reporters	2: Male	478	130,383	97.29	2.70	0.79	2.70±0.79
195	Editors and reporters	3: Female	455	117,584	89.57	2.96	0.42	2.96±0.42
195	Editors and reporters	4: White	865	228,960	93.79	2.94	0.38	2.94±0.38
195	Editors and reporters	5: Black	45	12,182	90.50	2.70	1.48	2.70±1.48
195	Editors and reporters	6: Other	23	6,825	93.97	2.00	0.00	2.00±0.00
195	Editors and reporters	7: Hispanic	24	6,974	93.74	1.00	0.00	1.00±0.00
195	Editors and reporters	8: NonHispanic	909	240,992	93.63	2.95	0.36	2.95±0.36
197	Public relations specialists	1: Total	649	168,127	93.92	2.07	0.33	2.07±0.33
197	Public relations specialists	2: Male	271	72,038	94.97	2.15	0.65	2.15±0.65
197	Public relations specialists	3: Female	378	96,088	93.13	2.03	0.36	2.03±0.36
197	Public relations specialists	4: White	587	152,746	94.59	2.01	0.36	2.01±0.36
197	Public relations specialists	5: Black	48	11,635	83.96	2.40	0.68	2.40±0.68
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	96.61	1.00	0.00	1.00±0.00
197	Public relations specialists	8: NonHispanic	618	160,091	93.79	2.10	0.34	2.10±0.34
203	Clinical lab technologists and technicians	1: Total	1,326	328,584	93.73	2.78	0.35	2.78±0.35
203	Clinical lab technologists and technicians	2: Male	293	78,792	93.52	2.20	0.41	2.20±0.41
203	Clinical lab technologists and technicians	3: Female	1,033	249,791	93.80	2.96	0.40	2.96±0.40
203	Clinical lab technologists and technicians	4: White	996	252,780	94.81	2.54	0.32	2.54±0.32
203	Clinical lab technologists and technicians	5: Black	237	50,404	89.16	3.95	0.82	3.95±0.82
203	Clinical lab technologists and technicians	6: Other	93	25,400	92.10	1.13	0.13	1.13±0.13
203	Clinical lab technologists and technicians	7: Hispanic	93	24,898	94.68	1.41	0.24	1.41±0.24
203	Clinical lab technologists and technicians	8: NonHispanic	1,233	303,685	93.66	2.87	0.35	2.87±0.35
206	Radiologic technicians	1: Total	543	137,287	94.30	3.21	0.49	3.21±0.49
206	Radiologic technicians	2: Male	153	41,478	94.91	2.56	0.75	2.56±0.75
206	Radiologic technicians	3: Female	390	95,809	94.04	3.45	0.52	3.45±0.52
206	Radiologic technicians	4: White	478	121,044	94.12	3.12	0.45	3.12±0.45
206	Radiologic technicians	5: Black	48	11,089	96.04	5.94	1.27	5.94±1.27
206	Radiologic technicians	6: Other	17	5,154	94.70	1.00	0.00	1.00±0.00
206	Radiologic technicians	7: Hispanic	43	11,059	93.26	1.61	0.52	1.61±0.52
206	Radiologic technicians	8: NonHispanic	500	126,228	94.39	3.38	0.51	3.38±0.51
207	Licensed practical nurses	1: Total	1,851	433,437	89.11	3.45	0.28	3.45±0.28
207	Licensed practical nurses	2: Male	66	18,738	89.16	2.30	0.36	2.30±0.36
207	Licensed practical nurses	3: Female	1,785	414,700	89.10	3.50	0.29	3.50±0.29
207	Licensed practical nurses	4: White	1,375	340,291	88.62	3.46	0.31	3.46±0.31
207	Licensed practical nurses	5: Black	429	80,115	90.94	3.70	0.60	3.70±0.60
207	Licensed practical nurses	6: Other	47	13,031	90.51	1.69	0.21	1.69±0.21
207	Licensed practical nurses	7: Hispanic	92	22,621	86.58	2.93	0.55	2.93±0.55
207	Licensed practical nurses	8: NonHispanic	1,759	410,816	89.25	3.49	0.30	3.49±0.30
208	Health technologists and technicians	1: Total	1,314	330,504	91.90	3.53	0.38	3.53±0.38
208	Health technologists and technicians	2: Male	382	101,316	92.91	3.93	1.04	3.93±1.04
208	Health technologists and technicians	3: Female	932	229,188	91.46	3.38	0.36	3.38±0.36
208	Health technologists and technicians	4: White	1,040	266,221	91.37	3.31	0.41	3.31±0.41
208	Health technologists and technicians	5: Black	205	45,241	94.39	5.60	1.40	5.60±1.40
208	Health technologists and technicians	6: Other	69	19,042	93.39	3.25	1.29	3.25±1.29
208	Health technologists and technicians	7: Hispanic	94	24,937	97.08	6.20	3.64	6.20±3.64
208	Health technologists and technicians	8: NonHispanic	1,220	305,567	91.48	3.45	0.36	3.45±0.36
213	Electrical and electronic technicians	1: Total	1,447	378,968	94.30	2.66	0.31	2.66±0.31
213	Electrical and electronic technicians	2: Male	1,204	320,198	94.69	2.46	0.32	2.46±0.32
213	Electrical and electronic technicians	3: Female	243	58,770	92.16	3.41	0.86	3.41±0.86
213	Electrical and electronic technicians	4: White	1,211	318,155	93.91	2.67	0.32	2.67±0.32
213	Electrical and electronic technicians	5: Black	125	31,406	94.76	2.98	1.56	2.98±1.56
213	Electrical and electronic technicians	6: Other	111	29,407	98.01	1.34	0.27	1.34±0.27
213	Electrical and electronic technicians	7: Hispanic	79	20,080	95.32	1.46	0.25	1.46±0.25
213	Electrical and electronic technicians	8: NonHispanic	1,368	358,888	94.24	2.72	0.32	2.71±0.32
216	Engineering technicians	1: Total	1,023	261,701	93.20	3.33	0.56	3.33±0.56
216	Engineering technicians	2: Male	681	178,622	93.52	3.25	0.70	3.25±0.70
216	Engineering technicians	3: Female	342	83,079	92.50	3.46	0.93	3.46±0.93
216	Engineering technicians	4: White	855	220,821	92.80	3.07	0.55	3.07±0.55
216	Engineering technicians	5: Black	111	25,470	94.27	6.60	2.67	6.60±2.67
216	Engineering technicians	6: Other	57	15,410	97.18	1.50	0.35	1.50±0.35
216	Engineering technicians	7: Hispanic	43	10,812	91.28	6.47	2.16	6.47±2.16
216	Engineering technicians	8: NonHispanic	980	250,889	93.28	3.15	0.58	3.15±0.58
217	Drafting occs	1: Total	992	265,437	94.45	2.28	0.28	2.28±0.28
217	Drafting occs	2: Male	794	213,073	94.79	2.27	0.36	2.27±0.36
217	Drafting occs	3: Female	198	52,364	93.08	2.31	0.40	2.31±0.40
217	Drafting occs	4: White	902	243,043	94.83	2.35	0.32	2.35±0.32
217	Drafting occs	5: Black	40	9,474	91.19	1.00	0.00	1.00±0.00
217	Drafting occs	6: Other	50	12,920	89.59	2.44	0.55	2.44±0.55
217	Drafting occs	7: Hispanic	70	19,282	93.02	2.45	0.75	2.45±0.75
217	Drafting occs	8: NonHispanic	922	246,155	94.56	2.26	0.31	2.26±0.31
226	Airplane pilots and navigators	1: Total	407	107,936	96.43	3.99	1.00	3.99±1.00
226	Airplane pilots and navigators	2: Male	395	105,271	96.34	3.99	1.00	3.99±1.00
226	Airplane pilots and navigators	3: Female	12	2,665	100.00
226	Airplane pilots and navigators	4: White	398	105,231	96.34	3.99	1.00	3.99±1.00
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	96.32	3.99	1.00	3.99±1.00
229	Computer programmers	1: Total	1,961	515,413	93.62	2.00	0.17	2.00±0.17
229	Computer programmers	2: Male	1,291	345,931	94.85	1.91	0.20	1.91±0.20
229	Computer programmers	3: Female	670	169,482	91.12	2.11	0.29	2.11±0.29
229	Computer programmers	4: White	1,658	441,655	93.47	1.98	0.19	1.98±0.19
229	Computer programmers	5: Black	156	35,443	95.41	2.61	0.90	2.61±0.90
229	Computer programmers	6: Other	147	38,315	93.75	1.84	0.25	1.84±0.25
229	Computer programmers	7: Hispanic	90	23,934	91.14	1.99	0.27	1.99±0.27
229	Computer programmers	8: NonHispanic	1,871	491,479	93.74	2.00	0.18	2.00±0.18
234	Legal assistants	1: Total	945	245,025	93.78	3.22	0.51	3.22±0.51
234	Legal assistants	2: Male	190	51,098	96.27	3.56	1.65	3.56±1.65
234	Legal assistants	3: Female	755	193,927	93.12	3.17	0.55	3.17±0.55
234	Legal assistants	4: White	841	218,530	93.75	3.20	0.53	3.20±0.53
234	Legal assistants	5: Black	71	16,896	94.46	4.14	1.85	4.14±1.85
234	Legal assistants	6: Other	33	9,598	93.19	2.30	1.08	2.30±1.08
234	Legal assistants	7: Hispanic	60	15,187	95.15	2.00	0.00	2.00±0.00
234	Legal assistants	8: NonHispanic	885	229,838	93.69	3.28	0.53	3.28±0.53
235	Technicians	1: Total	1,780	462,626	93.29	2.87	0.27	2.87±0.27
235	Technicians	2: Male	1,230	323,700	94.22	2.81	0.35	2.81±0.35
235	Technicians	3: Female	550	138,926	91.13	2.97	0.43	2.97±0.43
235	Technicians	4: White	1,496	391,624	93.17	2.84	0.28	2.84±0.28
235	Technicians	5: Black	158	36,652	91.80	3.59	1.13	3.59±1.13
235	Technicians	6: Other	126	34,349	96.23	1.86	0.77	1.86±0.77
235	Technicians	7: Hispanic	99	28,281	95.85	6.92	2.12	6.92±2.12
235	Technicians	8: NonHispanic	1,681	434,345	93.13	2.71	0.26	2.71±0.26
243	Supervisors/Proprietors, Sales Occupations	1: Total	13,986	3,596,023	95.60	3.43	0.15	3.43±0.15
243	Supervisors/Proprietors, Sales Occupations	2: Male	8,835	2,315,820	96.44	3.40	0.20	3.40±0.20
243	Supervisors/Proprietors, Sales Occupations	3: Female	5,151	1,280,203	94.08	3.46	0.23	3.46±0.23
243	Supervisors/Proprietors, Sales Occupations	4: White	12,793	3,297,445	95.65	3.35	0.15	3.35±0.15
243	Supervisors/Proprietors, Sales Occupations	5: Black	706	169,165	94.45	4.79	0.77	4.79±0.77
243	Supervisors/Proprietors, Sales Occupations	6: Other	487	129,414	95.92	3.13	0.71	3.13±0.71
243	Supervisors/Proprietors, Sales Occupations	7: Hispanic	751	197,592	95.69	3.53	0.68	3.53±0.68
243	Supervisors/Proprietors, Sales Occupations	8: NonHispanic	13,235	3,398,432	95.60	3.42	0.15	3.42±0.15
253	Insurance sales occs	1: Total	2,576	654,951	94.52	3.39	0.31	3.39±0.31
253	Insurance sales occs	2: Male	1,634	422,637	95.55	3.65	0.50	3.65±0.50
253	Insurance sales occs	3: Female	942	232,314	92.64	3.11	0.37	3.11±0.37
253	Insurance sales occs	4: White	2,337	598,754	94.50	3.54	0.34	3.54±0.34
253	Insurance sales occs	5: Black	179	40,514	94.53	1.95	0.23	1.95±0.23
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	91.92	2.99	0.81	2.99±0.81
253	Insurance sales occs	8: NonHispanic	2,460	624,650	94.64	3.42	0.32	3.42±0.32
254	Real estate sales occs	1: Total	3,071	788,281	95.59	4.18	0.39	4.18±0.39
254	Real estate sales occs	2: Male	1,547	401,798	95.81	3.92	0.59	3.92±0.59
254	Real estate sales occs	3: Female	1,524	386,483	95.36	4.43	0.48	4.43±0.48
254	Real estate sales occs	4: White	2,889	740,931	95.41	4.22	0.40	4.22±0.40
254	Real estate sales occs	5: Black	102	24,062	96.78	2.65	0.26	2.65±0.26
254	Real estate sales occs	6: Other	80	23,288	100.00
254	Real estate sales occs	7: Hispanic	122	32,809	97.21	8.47	2.39	8.47±2.39
254	Real estate sales occs	8: NonHispanic	2,949	755,472	95.52	4.07	0.39	4.07±0.39
255	Securities and financial services sales occs	1: Total	1,093	288,542	94.48	2.56	0.35	2.56±0.35
255	Securities and financial services sales occs	2: Male	787	211,164	95.75	2.63	0.48	2.63±0.48
255	Securities and financial services sales occs	3: Female	306	77,378	91.01	2.48	0.60	2.48±0.60
255	Securities and financial services sales occs	4: White	1,000	265,488	94.22	2.60	0.36	2.60±0.36
255	Securities and financial services sales occs	5: Black	64	15,184	96.11	1.55	0.49	1.55±0.49
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	100.00
255	Securities and financial services sales occs	8: NonHispanic	1,065	281,347	94.34	2.56	0.35	2.56±0.35
256	Advertising and related sales occs	1: Total	547	142,145	92.14	2.92	0.55	2.92±0.55
256	Advertising and related sales occs	2: Male	269	71,964	94.05	4.02	1.20	4.02±1.20
256	Advertising and related sales occs	3: Female	278	70,181	90.19	2.24	0.42	2.24±0.42
256	Advertising and related sales occs	4: White	511	133,280	91.98	2.81	0.56	2.81±0.56
256	Advertising and related sales occs	5: Black	27	6,644	92.75	5.55	3.18	5.55±3.18
256	Advertising and related sales occs	6: Other	9	2,222	100.00
256	Advertising and related sales occs	7: Hispanic	20	4,887	91.19	1.00	0.00	1.00±0.00
256	Advertising and related sales occs	8: NonHispanic	527	137,258	92.18	3.00	0.57	3.00±0.57
257	Sales occs, other business services	1: Total	1,500	393,028	93.32	2.57	0.29	2.57±0.29
257	Sales occs, other business services	2: Male	944	252,718	93.81	2.20	0.25	2.20±0.25
257	Sales occs, other business services	3: Female	556	140,309	92.44	3.13	0.58	3.13±0.58
257	Sales occs, other business services	4: White	1,385	364,858	93.58	2.61	0.32	2.61±0.32
257	Sales occs, other business services	5: Black	86	19,777	87.03	2.27	0.33	2.27±0.33
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	90.05	2.48	0.79	2.48±0.79
257	Sales occs, other business services	8: NonHispanic	1,417	372,057	93.51	2.58	0.31	2.58±0.31
259	Sales reps, mining/manufact/wholesale	1: Total	5,013	1,305,211	95.64	2.81	0.24	2.81±0.24
259	Sales reps, mining/manufact/wholesale	2: Male	3,833	1,004,909	96.19	2.67	0.27	2.67±0.27
259	Sales reps, mining/manufact/wholesale	3: Female	1,180	300,302	93.82	3.10	0.41	3.10±0.41
259	Sales reps, mining/manufact/wholesale	4: White	4,750	1,240,419	95.62	2.79	0.24	2.79±0.24
259	Sales reps, mining/manufact/wholesale	5: Black	170	39,789	94.61	3.72	1.60	3.72±1.60
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	93.08	2.88	0.79	2.88±0.79
259	Sales reps, mining/manufact/wholesale	8: NonHispanic	4,781	1,246,227	95.76	2.80	0.24	2.80±0.24
263	Sales workers, motor vehicles and boats	1: Total	991	255,606	95.10	3.49	0.46	3.49±0.46
263	Sales workers, motor vehicles and boats	2: Male	936	241,931	95.57	3.59	0.51	3.59±0.51
263	Sales workers, motor vehicles and boats	3: Female	55	13,676	86.92	2.88	0.72	2.88±0.72
263	Sales workers, motor vehicles and boats	4: White	936	240,349	95.17	3.48	0.48	3.48±0.48
263	Sales workers, motor vehicles and boats	5: Black	41	11,496	100.00
263	Sales workers, motor vehicles and boats	6: Other	14	3,761	76.16	3.68	2.12	3.68±2.12
263	Sales workers, motor vehicles and boats	7: Hispanic	59	14,878	96.93	1.00	0.00	1.00±0.00
263	Sales workers, motor vehicles and boats	8: NonHispanic	932	240,729	94.99	3.59	0.46	3.59±0.46
264	Sales workers, apparel	1: Total	1,169	296,930	94.48	3.36	0.53	3.36±0.53
264	Sales workers, apparel	2: Male	196	53,627	97.45	1.98	0.52	1.98±0.52
264	Sales workers, apparel	3: Female	973	243,303	93.82	3.49	0.57	3.49±0.57
264	Sales workers, apparel	4: White	1,001	258,828	94.59	2.95	0.42	2.95±0.42
264	Sales workers, apparel	5: Black	127	27,636	93.75	4.40	1.35	4.40±1.35
264	Sales workers, apparel	6: Other	41	10,465	93.46	9.23	4.27	9.23±4.27
264	Sales workers, apparel	7: Hispanic	124	32,386	92.42	3.46	1.15	3.46±1.15
264	Sales workers, apparel	8: NonHispanic	1,045	264,544	94.73	3.34	0.55	3.34±0.55
266	Sales workers, furniture and home furnishings	1: Total	402	105,818	94.91	3.47	0.89	3.47±0.89
266	Sales workers, furniture and home furnishings	2: Male	213	54,694	93.39	3.55	1.26	3.55±1.26
266	Sales workers, furniture and home furnishings	3: Female	189	51,124	96.55	3.30	1.27	3.30±1.27
266	Sales workers, furniture and home furnishings	4: White	372	99,018	95.84	3.34	1.17	3.34±1.17
266	Sales workers, furniture and home furnishings	5: Black	22	4,966	79.14	1.70	0.26	1.70±0.26
266	Sales workers, furniture and home furnishings	6: Other	8	1,833	87.78	14.00	0.00	14.00±0.00
266	Sales workers, furniture and home furnishings	7: Hispanic	30	7,845	89.95	1.00	0.00	1.00±0.00
266	Sales workers, furniture and home furnishings	8: NonHispanic	372	97,973	95.31	3.89	1.01	3.89±1.01
267	Sales workers, radio, TV, hi-fi and appliances	1: Total	452	119,117	94.09	2.20	0.44	2.20±0.44
267	Sales workers, radio, TV, hi-fi and appliances	2: Male	345	91,775	95.30	2.20	0.55	2.20±0.55
267	Sales workers, radio, TV, hi-fi and appliances	3: Female	107	27,342	90.04	2.20	0.72	2.20±0.72
267	Sales workers, radio, TV, hi-fi and appliances	4: White	403	107,942	94.18	2.07	0.43	2.07±0.43
267	Sales workers, radio, TV, hi-fi and appliances	5: Black	33	6,979	95.75	6.71	2.74	6.71±2.74
267	Sales workers, radio, TV, hi-fi and appliances	6: Other	16	4,196	89.01	1.00	0.00	1.00±0.00
267	Sales workers, radio, TV, hi-fi and appliances	7: Hispanic	21	6,412	89.53	1.00	0.00	1.00±0.00
267	Sales workers, radio, TV, hi-fi and appliances	8: NonHispanic	431	112,705	94.35	2.32	0.48	2.32±0.48
268	Sales workers, hardware and building supplies	1: Total	444	116,569	95.44	3.28	0.44	3.28±0.44
268	Sales workers, hardware and building supplies	2: Male	350	92,969	94.28	3.28	0.44	3.28±0.44
268	Sales workers, hardware and building supplies	3: Female	94	23,600	100.00
268	Sales workers, hardware and building supplies	4: White	428	112,288	95.26	3.28	0.44	3.28±0.44
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	100.00
268	Sales workers, hardware and building supplies	8: NonHispanic	430	113,094	95.30	3.28	0.44	3.28±0.44
269	Sales workers, parts	1: Total	525	138,870	94.98	2.22	0.60	2.22±0.60
269	Sales workers, parts	2: Male	474	125,177	94.75	2.23	0.64	2.23±0.64
269	Sales workers, parts	3: Female	51	13,693	97.06	2.00	0.00	2.00±0.00
269	Sales workers, parts	4: White	492	129,759	95.00	1.63	0.21	1.63±0.21
269	Sales workers, parts	5: Black	26	7,235	93.22	10.00	0.00	10.00±0.00
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	94.88	2.27	0.63	2.27±0.63
274	Sales workers, other commodities	1: Total	8,281	2,118,672	94.13	3.24	0.16	3.24±0.16
274	Sales workers, other commodities	2: Male	2,889	764,573	95.16	3.28	0.29	3.28±0.29
274	Sales workers, other commodities	3: Female	5,392	1,354,099	93.55	3.22	0.20	3.22±0.20
274	Sales workers, other commodities	4: White	7,370	1,900,230	94.01	3.11	0.16	3.11±0.16
274	Sales workers, other commodities	5: Black	650	142,383	94.80	3.83	0.57	3.83±0.57
274	Sales workers, other commodities	6: Other	261	76,059	95.66	6.19	1.99	6.19±1.99
274	Sales workers, other commodities	7: Hispanic	537	137,695	93.65	2.80	0.53	2.80±0.53
274	Sales workers, other commodities	8: NonHispanic	7,744	1,980,977	94.16	3.27	0.17	3.27±0.17
275	Sales counter clerks	1: Total	715	182,795	94.84	2.97	0.52	2.97±0.52
275	Sales counter clerks	2: Male	234	62,397	95.42	3.85	1.26	3.85±1.26
275	Sales counter clerks	3: Female	481	120,397	94.53	2.59	0.48	2.59±0.48
275	Sales counter clerks	4: White	556	145,649	94.41	3.01	0.60	3.01±0.60
275	Sales counter clerks	5: Black	87	18,053	94.09	2.43	0.56	2.43±0.56
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	6.98	4.57	6.98±4.57
275	Sales counter clerks	8: NonHispanic	652	165,762	94.59	2.76	0.48	2.76±0.48
276	Cashiers	1: Total	8,164	2,043,195	92.85	3.29	0.14	3.29±0.14
276	Cashiers	2: Male	1,384	361,042	95.15	3.30	0.36	3.30±0.36
276	Cashiers	3: Female	6,780	1,682,152	92.35	3.28	0.15	3.28±0.15
276	Cashiers	4: White	6,314	1,619,868	92.74	3.17	0.17	3.17±0.17
276	Cashiers	5: Black	1,444	312,261	91.93	3.85	0.32	3.85±0.32
276	Cashiers	6: Other	406	111,066	97.02	3.17	0.92	3.17±0.92
276	Cashiers	7: Hispanic	743	187,024	93.13	3.67	0.42	3.67±0.42
276	Cashiers	8: NonHispanic	7,421	1,856,171	92.82	3.25	0.15	3.25±0.15
277	Street and door-to-door sales workers	1: Total	1,084	276,408	93.33	3.53	0.39	3.53±0.39
277	Street and door-to-door sales workers	2: Male	258	68,964	96.44	2.78	0.44	2.78±0.44
277	Street and door-to-door sales workers	3: Female	826	207,444	92.29	3.65	0.44	3.65±0.44
277	Street and door-to-door sales workers	4: White	973	251,242	93.25	3.58	0.42	3.58±0.42
277	Street and door-to-door sales workers	5: Black	96	21,783	94.22	2.77	0.56	2.77±0.56
277	Street and door-to-door sales workers	6: Other	15	3,383	93.43	4.00	0.00	4.00±0.00
277	Street and door-to-door sales workers	7: Hispanic	73	18,747	94.95	1.76	0.21	1.76±0.21
277	Street and door-to-door sales workers	8: NonHispanic	1,011	257,661	93.21	3.63	0.41	3.63±0.41
303	Supervisors, general office	1: Total	1,807	456,019	93.09	2.67	0.27	2.67±0.27
303	Supervisors, general office	2: Male	471	127,692	95.90	2.14	0.43	2.14±0.43
303	Supervisors, general office	3: Female	1,336	328,327	91.99	2.77	0.30	2.77±0.30
303	Supervisors, general office	4: White	1,542	393,770	93.22	2.53	0.26	2.53±0.26
303	Supervisors, general office	5: Black	210	47,377	92.22	2.81	0.58	2.81±0.58
303	Supervisors, general office	6: Other	55	14,872	92.25	5.47	1.51	5.47±1.51
303	Supervisors, general office	7: Hispanic	100	26,940	94.74	1.85	0.28	1.85±0.28
303	Supervisors, general office	8: NonHispanic	1,707	429,079	92.98	2.71	0.28	2.71±0.28
307	Supervisors, distribution, scheduling, and adjusting clerks	1: Total	706	177,953	94.90	3.19	0.52	3.19±0.52
307	Supervisors, distribution, scheduling, and adjusting clerks	2: Male	461	119,950	96.04	3.95	0.74	3.95±0.74
307	Supervisors, distribution, scheduling, and adjusting clerks	3: Female	245	58,003	92.55	2.34	0.56	2.34±0.56
307	Supervisors, distribution, scheduling, and adjusting clerks	4: White	561	145,138	95.15	3.13	0.57	3.13±0.57
307	Supervisors, distribution, scheduling, and adjusting clerks	5: Black	128	28,601	94.51	3.65	1.85	3.65±1.85
307	Supervisors, distribution, scheduling, and adjusting clerks	6: Other	17	4,214	88.99	2.46	0.35	2.46±0.35
307	Supervisors, distribution, scheduling, and adjusting clerks	7: Hispanic	49	12,491	97.51	1.00	0.00	1.00±0.00
307	Supervisors, distribution, scheduling, and adjusting clerks	8: NonHispanic	657	165,462	94.71	3.26	0.52	3.26±0.52
308	Computer operators	1: Total	2,629	659,841	92.73	2.90	0.24	2.90±0.24
308	Computer operators	2: Male	880	234,917	93.50	2.97	0.45	2.97±0.45
308	Computer operators	3: Female	1,749	424,925	92.30	2.86	0.30	2.86±0.30
308	Computer operators	4: White	2,105	543,263	93.11	2.76	0.26	2.76±0.26
308	Computer operators	5: Black	436	92,859	90.82	3.54	0.68	3.54±0.68
308	Computer operators	6: Other	88	23,719	91.52	2.74	0.74	2.74±0.74
308	Computer operators	7: Hispanic	159	42,368	95.10	2.30	1.14	2.30±1.14
308	Computer operators	8: NonHispanic	2,470	617,473	92.57	2.92	0.23	2.92±0.23
313	Secretaries	1: Total	15,276	3,828,302	92.73	2.78	0.11	2.78±0.11
313	Secretaries	2: Male	183	46,281	95.42	1.66	0.32	1.66±0.32
313	Secretaries	3: Female	15,093	3,782,021	92.69	2.79	0.11	2.79±0.11
313	Secretaries	4: White	13,564	3,453,562	92.84	2.78	0.12	2.78±0.12
313	Secretaries	5: Black	1,418	290,884	91.22	2.86	0.26	2.86±0.26
313	Secretaries	6: Other	294	83,856	93.37	2.12	0.35	2.12±0.35
313	Secretaries	7: Hispanic	890	229,081	93.82	3.26	0.39	3.26±0.39
313	Secretaries	8: NonHispanic	14,386	3,599,220	92.66	2.75	0.11	2.75±0.11
315	Typists	1: Total	2,109	515,090	92.35	2.77	0.23	2.77±0.23
315	Typists	2: Male	109	28,810	92.96	1.72	0.48	1.72±0.48
315	Typists	3: Female	2,000	486,281	92.32	2.82	0.24	2.82±0.24
315	Typists	4: White	1,587	407,125	92.40	2.52	0.25	2.52±0.25
315	Typists	5: Black	445	88,156	92.48	3.99	0.63	3.99±0.63
315	Typists	6: Other	77	19,809	90.83	2.50	0.94	2.50±0.94
315	Typists	7: Hispanic	153	36,679	91.31	1.79	0.41	1.79±0.41
315	Typists	8: NonHispanic	1,956	478,411	92.43	2.85	0.25	2.85±0.25
316	Interviewers	1: Total	581	146,720	93.73	2.96	0.71	2.96±0.71
316	Interviewers	2: Male	69	18,133	96.20	2.90	0.85	2.90±0.85
316	Interviewers	3: Female	512	128,587	93.38	2.97	0.76	2.97±0.76
316	Interviewers	4: White	479	126,116	93.88	3.05	0.77	3.05±0.77
316	Interviewers	5: Black	92	18,343	93.14	2.79	1.68	2.79±1.68
316	Interviewers	6: Other	10	2,261	90.48	1.00	0.00	1.00±0.00
316	Interviewers	7: Hispanic	38	9,918	92.63	2.14	0.87	2.14±0.87
316	Interviewers	8: NonHispanic	543	136,801	93.81	3.04	0.76	3.04±0.76
318	Transportation ticket and reservation agents	1: Total	642	164,670	94.45	3.40	0.45	3.40±0.45
318	Transportation ticket and reservation agents	2: Male	214	56,559	97.19	2.02	0.45	2.02±0.45
318	Transportation ticket and reservation agents	3: Female	428	108,111	93.02	3.69	0.60	3.69±0.60
318	Transportation ticket and reservation agents	4: White	533	138,098	94.11	3.33	0.49	3.33±0.49
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	3.00	0.00	3.00±0.00
318	Transportation ticket and reservation agents	7: Hispanic	54	13,923	90.46	2.77	1.46	2.77±1.46
318	Transportation ticket and reservation agents	8: NonHispanic	588	150,747	94.82	3.50	0.39	3.50±0.39
319	Receptionists	1: Total	3,010	747,566	92.36	2.78	0.21	2.78±0.21
319	Receptionists	2: Male	99	26,737	94.00	1.60	0.27	1.60±0.27
319	Receptionists	3: Female	2,911	720,830	92.30	2.82	0.22	2.82±0.22
319	Receptionists	4: White	2,649	671,925	92.55	2.65	0.22	2.65±0.22
319	Receptionists	5: Black	294	57,688	89.23	3.95	0.70	3.95±0.70
319	Receptionists	6: Other	67	17,953	95.08	1.81	0.42	1.81±0.42
319	Receptionists	7: Hispanic	270	70,963	89.67	2.85	0.64	2.85±0.64
319	Receptionists	8: NonHispanic	2,740	676,603	92.64	2.77	0.21	2.77±0.21
327	Order clerks	1: Total	735	183,515	93.05	2.99	0.41	2.99±0.41
327	Order clerks	2: Male	183	48,147	96.65	3.01	1.17	3.01±1.17
327	Order clerks	3: Female	552	135,368	91.77	2.99	0.46	2.99±0.46
327	Order clerks	4: White	596	153,766	92.52	2.87	0.39	2.87±0.39
327	Order clerks	5: Black	125	25,840	95.14	4.08	2.55	4.08±2.55
327	Order clerks	6: Other	14	3,910	100.00
327	Order clerks	7: Hispanic	54	14,429	96.97	4.13	0.70	4.13±0.70
327	Order clerks	8: NonHispanic	681	169,086	92.71	2.95	0.43	2.95±0.43
329	Library clerks	1: Total	491	125,725	93.47	2.37	0.49	2.37±0.49
329	Library clerks	2: Male	96	27,366	94.20	4.23	1.98	4.23±1.98
329	Library clerks	3: Female	395	98,359	93.27	1.92	0.24	1.92±0.24
329	Library clerks	4: White	392	100,948	94.03	2.48	0.65	2.48±0.65
329	Library clerks	5: Black	68	15,408	90.12	1.83	0.46	1.83±0.46
329	Library clerks	6: Other	31	9,369	92.99	2.60	0.34	2.60±0.34
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	93.09	2.41	0.49	2.41±0.49
335	File clerks	1: Total	790	193,069	92.43	2.33	0.33	2.33±0.33
335	File clerks	2: Male	165	40,157	94.97	1.91	0.53	1.91±0.53
335	File clerks	3: Female	625	152,912	91.77	2.40	0.37	2.40±0.37
335	File clerks	4: White	575	147,502	92.46	2.38	0.43	2.38±0.43
335	File clerks	5: Black	177	35,931	91.66	2.28	0.30	2.28±0.30
335	File clerks	6: Other	38	9,636	94.95	1.53	0.35	1.53±0.35
335	File clerks	7: Hispanic	76	19,217	91.79	2.31	0.64	2.31±0.64
335	File clerks	8: NonHispanic	714	173,853	92.51	2.34	0.34	2.34±0.34
336	Records clerks	1: Total	645	159,184	92.36	3.20	0.53	3.20±0.53
336	Records clerks	2: Male	128	34,088	96.63	2.37	0.42	2.37±0.42
336	Records clerks	3: Female	517	125,096	91.19	3.29	0.58	3.29±0.58
336	Records clerks	4: White	518	133,291	92.74	3.33	0.65	3.33±0.65
336	Records clerks	5: Black	102	19,718	90.84	3.02	0.70	3.02±0.70
336	Records clerks	6: Other	25	6,175	88.92	1.89	0.70	1.89±0.70
336	Records clerks	7: Hispanic	51	11,973	90.93	2.09	0.43	2.09±0.43
336	Records clerks	8: NonHispanic	594	147,211	92.47	3.31	0.58	3.31±0.58
337	Bookkeepers, accounting, and auditing clerks	1: Total	7,239	1,817,127	93.85	2.94	0.16	2.94±0.16
337	Bookkeepers, accounting, and auditing clerks	2: Male	622	163,476	93.97	4.25	0.75	4.25±0.75
337	Bookkeepers, accounting, and auditing clerks	3: Female	6,617	1,653,650	93.84	2.82	0.15	2.82±0.15
337	Bookkeepers, accounting, and auditing clerks	4: White	6,542	1,651,362	93.72	2.86	0.16	2.86±0.16
337	Bookkeepers, accounting, and auditing clerks	5: Black	446	97,144	94.15	5.03	0.81	5.03±0.81
337	Bookkeepers, accounting, and auditing clerks	6: Other	251	68,621	96.55	1.64	0.44	1.64±0.44
337	Bookkeepers, accounting, and auditing clerks	7: Hispanic	360	90,453	90.99	2.61	0.50	2.61±0.50
337	Bookkeepers, accounting, and auditing clerks	8: NonHispanic	6,879	1,726,674	94.00	2.97	0.17	2.97±0.17
338	Payroll and timekeeping clerks	1: Total	605	150,511	91.65	2.99	0.55	2.99±0.55
338	Payroll and timekeeping clerks	2: Male	63	15,990	93.70	1.20	0.20	1.20±0.20
338	Payroll and timekeeping clerks	3: Female	542	134,521	91.40	3.14	0.59	3.14±0.59
338	Payroll and timekeeping clerks	4: White	508	129,718	91.34	2.85	0.61	2.85±0.61
338	Payroll and timekeeping clerks	5: Black	75	14,808	95.47	5.92	1.47	5.92±1.47
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	89.85	1.75	0.38	1.75±0.38
338	Payroll and timekeeping clerks	8: NonHispanic	566	141,237	91.76	3.09	0.59	3.09±0.59
339	Billing clerks	1: Total	657	165,608	92.43	2.94	0.52	2.94±0.52
339	Billing clerks	2: Male	55	15,055	91.03	3.87	1.36	3.87±1.36
339	Billing clerks	3: Female	602	150,553	92.57	2.82	0.56	2.82±0.56
339	Billing clerks	4: White	557	143,857	93.33	3.02	0.63	3.02±0.63
339	Billing clerks	5: Black	76	15,636	88.57	1.58	0.41	1.58±0.41
339	Billing clerks	6: Other	24	6,115	81.14	4.36	1.27	4.36±1.27
339	Billing clerks	7: Hispanic	33	8,191	91.51	1.88	0.77	1.88±0.77
339	Billing clerks	8: NonHispanic	624	157,417	92.47	3.00	0.53	3.00±0.53
348	Telephone operators	1: Total	795	195,396	91.03	3.99	0.52	3.99±0.52
348	Telephone operators	2: Male	76	20,290	92.16	2.32	0.60	2.32±0.60
348	Telephone operators	3: Female	719	175,105	90.90	4.15	0.56	4.15±0.56
348	Telephone operators	4: White	582	149,302	91.31	3.62	0.46	3.62±0.46
348	Telephone operators	5: Black	187	38,556	90.56	3.67	0.72	3.67±0.72
348	Telephone operators	6: Other	26	7,537	87.99	10.50	3.51	10.50±3.51
348	Telephone operators	7: Hispanic	43	11,184	93.49	1.94	0.79	1.94±0.79
348	Telephone operators	8: NonHispanic	752	184,211	90.88	4.08	0.53	4.08±0.53
354	Postal clerks, except mail carriers	1: Total	1,317	310,003	90.31	3.18	0.27	3.18±0.27
354	Postal clerks, except mail carriers	2: Male	697	170,471	91.65	2.84	0.36	2.84±0.36
354	Postal clerks, except mail carriers	3: Female	620	139,532	88.67	3.49	0.38	3.49±0.38
354	Postal clerks, except mail carriers	4: White	834	207,923	90.05	3.11	0.32	3.11±0.32
354	Postal clerks, except mail carriers	5: Black	405	82,256	91.44	3.26	0.54	3.26±0.54
354	Postal clerks, except mail carriers	6: Other	78	19,824	88.29	3.58	0.37	3.58±0.37
354	Postal clerks, except mail carriers	7: Hispanic	86	21,022	81.74	3.11	0.88	3.11±0.88
354	Postal clerks, except mail carriers	8: NonHispanic	1,231	288,981	90.93	3.19	0.28	3.19±0.28
355	Mail carriers, postal service	1: Total	1,216	303,415	91.53	4.57	0.43	4.57±0.43
355	Mail carriers, postal service	2: Male	858	217,151	92.34	5.25	0.53	5.25±0.53
355	Mail carriers, postal service	3: Female	358	86,263	89.48	3.32	0.50	3.32±0.50
355	Mail carriers, postal service	4: White	1,003	251,840	91.70	4.48	0.50	4.48±0.50
355	Mail carriers, postal service	5: Black	173	39,538	91.63	5.81	0.97	5.81±0.97
355	Mail carriers, postal service	6: Other	40	12,037	87.64	3.00	0.00	3.00±0.00
355	Mail carriers, postal service	7: Hispanic	80	21,353	86.15	2.14	0.32	2.14±0.32
355	Mail carriers, postal service	8: NonHispanic	1,136	282,061	91.93	4.88	0.46	4.88±0.46
356	Mail clerks, except postal service	1: Total	715	178,110	94.15	3.12	0.50	3.12±0.50
356	Mail clerks, except postal service	2: Male	384	101,596	94.48	3.39	0.77	3.39±0.77
356	Mail clerks, except postal service	3: Female	331	76,514	93.72	2.80	0.63	2.80±0.63
356	Mail clerks, except postal service	4: White	513	134,186	94.60	3.77	0.66	3.77±0.66
356	Mail clerks, except postal service	5: Black	180	38,112	92.27	1.67	0.29	1.67±0.29
356	Mail clerks, except postal service	6: Other	22	5,812	96.23	1.00	0.00	1.00±0.00
356	Mail clerks, except postal service	7: Hispanic	66	18,429	95.98	2.32	0.30	2.32±0.30
356	Mail clerks, except postal service	8: NonHispanic	649	159,682	93.94	3.18	0.54	3.18±0.54
357	Messengers	1: Total	487	123,316	94.24	3.77	0.68	3.77±0.68
357	Messengers	2: Male	368	94,001	93.86	4.15	0.75	4.15±0.75
357	Messengers	3: Female	119	29,314	95.45	2.10	1.04	2.10±1.04
357	Messengers	4: White	379	100,817	93.52	3.46	0.69	3.46±0.69
357	Messengers	5: Black	92	18,180	96.82	7.21	4.06	7.21±4.06
357	Messengers	6: Other	16	4,319	100.00
357	Messengers	7: Hispanic	48	12,004	90.46	6.27	2.57	6.27±2.57
357	Messengers	8: NonHispanic	439	111,312	94.64	3.29	0.66	3.29±0.66
359	Dispatchers	1: Total	724	180,789	92.06	3.02	0.46	3.02±0.46
359	Dispatchers	2: Male	357	91,223	95.59	3.28	0.97	3.28±0.97
359	Dispatchers	3: Female	367	89,566	88.47	2.91	0.46	2.91±0.46
359	Dispatchers	4: White	639	162,937	92.44	2.89	0.48	2.89±0.48
359	Dispatchers	5: Black	72	14,936	90.62	4.71	1.51	4.70±1.51
359	Dispatchers	6: Other	13	2,916	78.23	1.67	0.27	1.67±0.27
359	Dispatchers	7: Hispanic	40	10,432	93.71	1.58	0.48	1.58±0.48
359	Dispatchers	8: NonHispanic	684	170,357	91.96	3.09	0.47	3.09±0.47
363	Production coordinators	1: Total	813	204,210	93.85	3.63	0.53	3.63±0.53
363	Production coordinators	2: Male	423	109,596	93.52	4.01	0.72	4.01±0.72
363	Production coordinators	3: Female	390	94,614	94.23	3.15	0.75	3.15±0.75
363	Production coordinators	4: White	723	184,024	94.04	3.56	0.59	3.56±0.59
363	Production coordinators	5: Black	68	15,000	92.58	4.45	1.51	4.45±1.51
363	Production coordinators	6: Other	22	5,187	90.70	3.54	1.22	3.54±1.22
363	Production coordinators	7: Hispanic	35	8,866	86.63	2.41	0.46	2.41±0.46
363	Production coordinators	8: NonHispanic	778	195,344	94.18	3.76	0.57	3.76±0.57
364	Traffic, shipping, and receiving clerks	1: Total	2,034	531,212	93.61	3.09	0.27	3.09±0.27
364	Traffic, shipping, and receiving clerks	2: Male	1,447	384,452	94.53	3.62	0.39	3.62±0.39
364	Traffic, shipping, and receiving clerks	3: Female	587	146,759	91.18	2.24	0.30	2.24±0.30
364	Traffic, shipping, and receiving clerks	4: White	1,640	434,475	93.65	2.96	0.30	2.96±0.30
364	Traffic, shipping, and receiving clerks	5: Black	332	77,426	94.55	3.69	0.84	3.69±0.84
364	Traffic, shipping, and receiving clerks	6: Other	62	19,310	88.80	3.63	1.37	3.63±1.37
364	Traffic, shipping, and receiving clerks	7: Hispanic	207	57,292	94.34	2.08	0.48	2.08±0.48
364	Traffic, shipping, and receiving clerks	8: NonHispanic	1,827	473,920	93.52	3.20	0.28	3.20±0.28
365	Stock and inventory clerks	1: Total	2,303	585,833	92.83	3.24	0.29	3.24±0.29
365	Stock and inventory clerks	2: Male	1,359	355,972	94.72	3.18	0.44	3.18±0.44
365	Stock and inventory clerks	3: Female	944	229,861	89.91	3.29	0.36	3.29±0.36
365	Stock and inventory clerks	4: White	1,863	483,956	93.14	3.48	0.34	3.48±0.34
365	Stock and inventory clerks	5: Black	366	81,578	92.31	2.72	0.49	2.72±0.49
365	Stock and inventory clerks	6: Other	74	20,299	87.67	1.46	0.21	1.46±0.21
365	Stock and inventory clerks	7: Hispanic	198	49,932	95.84	3.85	1.60	3.85±1.60
365	Stock and inventory clerks	8: NonHispanic	2,105	535,901	92.55	3.21	0.29	3.21±0.29
373	Expediters	1: Total	666	169,140	93.56	3.08	0.52	3.08±0.52
373	Expediters	2: Male	218	58,752	94.93	3.74	0.84	3.74±0.84
373	Expediters	3: Female	448	110,388	92.83	2.83	0.64	2.83±0.64
373	Expediters	4: White	554	143,787	94.00	3.27	0.63	3.27±0.63
373	Expediters	5: Black	93	20,203	88.78	2.37	0.46	2.37±0.46
373	Expediters	6: Other	19	5,150	100.00
373	Expediters	7: Hispanic	50	13,687	88.30	5.31	1.99	5.31±1.99
373	Expediters	8: NonHispanic	616	155,453	94.02	2.70	0.44	2.70±0.44
375	Insurance adjusters, examiners, and investigators	1: Total	1,228	304,227	93.07	3.19	0.36	3.19±0.36
375	Insurance adjusters, examiners, and investigators	2: Male	336	88,079	95.71	4.90	1.03	4.90±1.03
375	Insurance adjusters, examiners, and investigators	3: Female	892	216,148	92.00	2.82	0.36	2.82±0.36
375	Insurance adjusters, examiners, and investigators	4: White	1,019	258,407	93.18	3.22	0.44	3.22±0.44
375	Insurance adjusters, examiners, and investigators	5: Black	176	37,062	92.51	3.27	0.64	3.27±0.64
375	Insurance adjusters, examiners, and investigators	6: Other	33	8,758	92.26	2.00	0.47	2.00±0.47
375	Insurance adjusters, examiners, and investigators	7: Hispanic	75	18,714	96.13	10.00	0.00	10.00±0.00
375	Insurance adjusters, examiners, and investigators	8: NonHispanic	1,153	285,513	92.87	2.95	0.33	2.95±0.33
376	Investigators and adjusters, except insurance	1: Total	2,527	636,942	92.88	2.60	0.21	2.60±0.21
376	Investigators and adjusters, except insurance	2: Male	623	163,828	95.81	3.64	0.61	3.64±0.61
376	Investigators and adjusters, except insurance	3: Female	1,904	473,114	91.86	2.42	0.21	2.42±0.21
376	Investigators and adjusters, except insurance	4: White	2,127	544,471	92.75	2.62	0.23	2.62±0.23
376	Investigators and adjusters, except insurance	5: Black	324	73,460	93.28	2.70	0.51	2.70±0.51
376	Investigators and adjusters, except insurance	6: Other	76	19,011	95.05	1.26	0.16	1.26±0.16
376	Investigators and adjusters, except insurance	7: Hispanic	182	45,242	91.42	3.08	0.69	3.08±0.69
376	Investigators and adjusters, except insurance	8: NonHispanic	2,345	591,700	92.99	2.56	0.20	2.56±0.20
378	Bill and account collectors	1: Total	519	133,916	88.68	3.05	0.41	3.05±0.41
378	Bill and account collectors	2: Male	180	48,058	92.07	2.58	0.85	2.58±0.85
378	Bill and account collectors	3: Female	339	85,858	86.78	3.21	0.50	3.21±0.50
378	Bill and account collectors	4: White	438	114,532	88.75	3.01	0.42	3.01±0.42
378	Bill and account collectors	5: Black	72	17,327	89.76	2.65	1.33	2.65±1.33
378	Bill and account collectors	6: Other	9	2,057	75.39	5.47	2.07	5.47±2.07
378	Bill and account collectors	7: Hispanic	51	11,787	91.10	3.97	2.39	3.97±2.39
378	Bill and account collectors	8: NonHispanic	468	122,129	88.44	2.98	0.39	2.98±0.39
379	General office clerks	1: Total	4,708	1,187,412	92.66	3.09	0.20	3.09±0.20
379	General office clerks	2: Male	804	217,103	93.31	3.25	0.58	3.25±0.58
379	General office clerks	3: Female	3,904	970,309	92.52	3.06	0.20	3.06±0.20
379	General office clerks	4: White	3,819	992,097	92.68	2.95	0.21	2.95±0.21
379	General office clerks	5: Black	714	147,483	91.64	4.13	0.59	4.13±0.59
379	General office clerks	6: Other	175	47,832	95.59	2.18	0.94	2.18±0.94
379	General office clerks	7: Hispanic	367	93,915	91.26	2.26	0.30	2.26±0.30
379	General office clerks	8: NonHispanic	4,341	1,093,497	92.78	3.18	0.22	3.18±0.22
383	Bank tellers	1: Total	1,791	452,802	93.55	3.22	0.33	3.22±0.33
383	Bank tellers	2: Male	150	39,851	97.07	3.50	1.36	3.50±1.36
383	Bank tellers	3: Female	1,641	412,951	93.21	3.21	0.35	3.21±0.35
383	Bank tellers	4: White	1,524	391,439	93.33	3.34	0.36	3.34±0.36
383	Bank tellers	5: Black	204	43,808	94.00	2.37	0.55	2.37±0.55
383	Bank tellers	6: Other	63	17,555	97.23	1.53	0.35	1.53±0.35
383	Bank tellers	7: Hispanic	132	34,169	97.18	7.21	2.39	7.21±2.39
383	Bank tellers	8: NonHispanic	1,659	418,633	93.25	3.09	0.32	3.09±0.32
385	Data-entry keyers	1: Total	2,007	485,635	91.75	2.67	0.22	2.67±0.22
385	Data-entry keyers	2: Male	284	73,725	92.49	2.32	0.46	2.32±0.46
385	Data-entry keyers	3: Female	1,723	411,909	91.62	2.73	0.25	2.73±0.25
385	Data-entry keyers	4: White	1,453	365,475	91.20	2.35	0.22	2.35±0.22
385	Data-entry keyers	5: Black	448	91,883	93.82	4.39	0.83	4.39±0.83
385	Data-entry keyers	6: Other	106	28,277	92.25	3.00	1.44	3.00±1.44
385	Data-entry keyers	7: Hispanic	143	35,687	90.62	3.26	0.80	3.26±0.80
385	Data-entry keyers	8: NonHispanic	1,864	449,947	91.84	2.62	0.23	2.62±0.23
387	Teachers aides	1: Total	1,625	388,785	93.10	2.78	0.25	2.78±0.25
387	Teachers aides	2: Male	86	21,414	95.56	3.12	1.68	3.12±1.68
387	Teachers aides	3: Female	1,539	367,370	92.96	2.76	0.26	2.76±0.26
387	Teachers aides	4: White	1,261	314,883	93.50	2.88	0.31	2.88±0.31
387	Teachers aides	5: Black	320	61,772	90.07	2.46	0.47	2.46±0.47
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	92.25	2.39	0.60	2.39±0.60
387	Teachers aides	8: NonHispanic	1,415	336,566	93.23	2.85	0.27	2.85±0.27
389	Administrative support occs	1: Total	2,890	717,172	93.09	2.66	0.19	2.66±0.19
389	Administrative support occs	2: Male	650	169,607	95.32	2.29	0.25	2.29±0.25
389	Administrative support occs	3: Female	2,240	547,564	92.40	2.74	0.23	2.74±0.23
389	Administrative support occs	4: White	2,371	603,814	93.07	2.48	0.22	2.48±0.22
389	Administrative support occs	5: Black	405	82,999	93.26	4.42	0.70	4.42±0.70
389	Administrative support occs	6: Other	114	30,359	93.01	1.70	0.45	1.70±0.45
389	Administrative support occs	7: Hispanic	171	43,281	89.27	2.86	0.73	2.86±0.73
389	Administrative support occs	8: NonHispanic	2,719	673,891	93.34	2.64	0.20	2.64±0.20
406	Child care workers, private household	1: Total	735	184,736	95.26	4.06	0.63	4.06±0.63
406	Child care workers, private household	2: Male	13	4,252	100.00
406	Child care workers, private household	3: Female	722	180,484	95.15	4.06	0.63	4.06±0.63
406	Child care workers, private household	4: White	581	152,239	95.68	3.46	0.63	3.46±0.63
406	Child care workers, private household	5: Black	130	25,514	91.51	5.87	1.65	5.87±1.65
406	Child care workers, private household	6: Other	24	6,983	100.00
406	Child care workers, private household	7: Hispanic	77	20,558	98.58	14.00	0.00	14.00±0.00
406	Child care workers, private household	8: NonHispanic	658	164,178	94.85	3.72	0.56	3.72±0.56
407	Private household cleaners and servants	1: Total	2,307	515,168	94.46	3.56	0.29	3.56±0.29
407	Private household cleaners and servants	2: Male	112	27,623	94.38	3.47	0.84	3.47±0.84
407	Private household cleaners and servants	3: Female	2,195	487,545	94.47	3.56	0.30	3.56±0.30
407	Private household cleaners and servants	4: White	1,353	334,219	95.01	3.34	0.33	3.34±0.33
407	Private household cleaners and servants	5: Black	913	169,563	93.39	3.97	0.54	3.97±0.54
407	Private household cleaners and servants	6: Other	41	11,386	94.48	2.00	0.00	2.00±0.00
407	Private household cleaners and servants	7: Hispanic	380	93,012	96.49	3.61	0.83	3.61±0.83
407	Private household cleaners and servants	8: NonHispanic	1,927	422,156	94.02	3.55	0.32	3.55±0.32
417	Firefighting occs	1: Total	770	198,277	92.89	4.04	0.59	4.04±0.59
417	Firefighting occs	2: Male	750	193,361	92.96	4.15	0.61	4.15±0.61
417	Firefighting occs	3: Female	20	4,916	90.03	1.00	0.00	1.00±0.00
417	Firefighting occs	4: White	670	173,027	92.69	4.22	0.61	4.22±0.61
417	Firefighting occs	5: Black	82	19,686	92.61	2.42	1.35	2.42±1.35
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	92.57	4.02	0.60	4.02±0.60
418	Police and detectives, public service	1: Total	1,842	481,710	92.30	3.69	0.35	3.69±0.35
418	Police and detectives, public service	2: Male	1,617	427,880	92.55	3.82	0.39	3.82±0.39
418	Police and detectives, public service	3: Female	225	53,830	90.30	2.90	0.65	2.90±0.65
418	Police and detectives, public service	4: White	1,576	415,697	92.05	3.56	0.36	3.56±0.36
418	Police and detectives, public service	5: Black	235	57,495	93.62	4.83	0.81	4.83±0.81
418	Police and detectives, public service	6: Other	31	8,517	95.94	4.00	0.00	4.00±0.00
418	Police and detectives, public service	7: Hispanic	133	35,570	93.95	3.85	1.19	3.85±1.19
418	Police and detectives, public service	8: NonHispanic	1,709	446,140	92.17	3.68	0.36	3.68±0.36
423	Sheriffs/bailiffs/other law enforcement officers	1: Total	487	127,159	94.29	3.25	0.71	3.25±0.71
423	Sheriffs/bailiffs/other law enforcement officers	2: Male	406	108,386	94.57	3.40	0.88	3.40±0.88
423	Sheriffs/bailiffs/other law enforcement officers	3: Female	81	18,773	92.65	2.64	0.74	2.64±0.74
423	Sheriffs/bailiffs/other law enforcement officers	4: White	414	110,731	95.49	2.33	0.45	2.33±0.45
423	Sheriffs/bailiffs/other law enforcement officers	5: Black	66	14,369	85.71	5.64	2.20	5.64±2.20
423	Sheriffs/bailiffs/other law enforcement officers	6: Other	7	2,059	89.36	2.00	0.00	2.00±0.00
423	Sheriffs/bailiffs/other law enforcement officers	7: Hispanic	27	7,896	95.94	2.00	0.00	2.00±0.00
423	Sheriffs/bailiffs/other law enforcement officers	8: NonHispanic	460	119,263	94.18	3.31	0.74	3.31±0.74
424	Correctional institution officers	1: Total	853	219,927	91.82	3.35	0.47	3.35±0.47
424	Correctional institution officers	2: Male	657	173,618	92.89	3.08	0.54	3.08±0.54
424	Correctional institution officers	3: Female	196	46,309	87.83	3.96	0.81	3.96±0.81
424	Correctional institution officers	4: White	598	156,718	91.42	3.18	0.56	3.18±0.56
424	Correctional institution officers	5: Black	246	60,620	92.84	3.41	0.72	3.41±0.72
424	Correctional institution officers	6: Other	9	2,589	92.26	14.00	0.00	14.00±0.00
424	Correctional institution officers	7: Hispanic	61	16,375	92.01	4.75	1.71	4.75±1.71
424	Correctional institution officers	8: NonHispanic	792	203,552	91.81	3.24	0.46	3.24±0.46
426	Guards and police, except public service	1: Total	2,571	650,456	94.53	3.91	0.31	3.91±0.31
426	Guards and police, except public service	2: Male	2,154	552,369	95.06	3.94	0.39	3.94±0.39
426	Guards and police, except public service	3: Female	417	98,086	91.51	3.80	0.57	3.80±0.57
426	Guards and police, except public service	4: White	1,811	480,103	94.33	3.94	0.37	3.94±0.37
426	Guards and police, except public service	5: Black	677	149,390	94.68	3.98	0.56	3.98±0.56
426	Guards and police, except public service	6: Other	83	20,963	97.87	1.00	0.00	1.00±0.00
426	Guards and police, except public service	7: Hispanic	197	50,594	96.23	2.20	0.53	2.20±0.53
426	Guards and police, except public service	8: NonHispanic	2,374	599,862	94.38	4.00	0.33	4.00±0.33
433	Supervisors, food preparation and service occs	1: Total	1,006	259,072	92.96	4.53	0.49	4.53±0.49
433	Supervisors, food preparation and service occs	2: Male	403	104,802	93.00	5.61	0.90	5.61±0.90
433	Supervisors, food preparation and service occs	3: Female	603	154,270	92.93	3.80	0.56	3.80±0.56
433	Supervisors, food preparation and service occs	4: White	770	204,666	92.72	4.61	0.55	4.61±0.55
433	Supervisors, food preparation and service occs	5: Black	168	34,444	92.89	5.31	1.50	5.31±1.50
433	Supervisors, food preparation and service occs	6: Other	68	19,962	95.53	1.00	0.00	1.00±0.00
433	Supervisors, food preparation and service occs	7: Hispanic	87	25,251	92.51	8.20	2.26	8.20±2.26
433	Supervisors, food preparation and service occs	8: NonHispanic	919	233,821	93.01	4.10	0.47	4.10±0.47
434	Bartenders	1: Total	1,277	344,383	93.56	2.55	0.26	2.55±0.26
434	Bartenders	2: Male	609	165,509	96.74	2.40	0.41	2.40±0.41
434	Bartenders	3: Female	668	178,873	90.61	2.60	0.33	2.60±0.33
434	Bartenders	4: White	1,178	316,379	93.57	2.57	0.28	2.57±0.28
434	Bartenders	5: Black	62	16,534	93.07	2.53	1.58	2.53±1.58
434	Bartenders	6: Other	37	11,470	93.91	2.00	0.00	2.00±0.00
434	Bartenders	7: Hispanic	73	19,323	90.87	3.35	1.13	3.35±1.13
434	Bartenders	8: NonHispanic	1,204	325,059	93.71	2.48	0.29	2.48±0.29
435	Waiters and waitresses	1: Total	4,834	1,243,450	92.46	3.14	0.18	3.14±0.18
435	Waiters and waitresses	2: Male	831	223,627	95.87	3.23	0.54	3.23±0.54
435	Waiters and waitresses	3: Female	4,003	1,019,824	91.71	3.13	0.20	3.13±0.20
435	Waiters and waitresses	4: White	4,303	1,111,262	92.50	3.19	0.20	3.19±0.20
435	Waiters and waitresses	5: Black	276	61,054	93.26	3.05	0.70	3.05±0.70
435	Waiters and waitresses	6: Other	255	71,135	91.10	2.46	0.46	2.46±0.46
435	Waiters and waitresses	7: Hispanic	372	95,550	92.14	3.28	0.60	3.28±0.60
435	Waiters and waitresses	8: NonHispanic	4,462	1,147,900	92.49	3.12	0.19	3.12±0.19
436	Cooks	1: Total	6,414	1,587,227	93.94	3.38	0.19	3.38±0.19
436	Cooks	2: Male	2,992	783,771	95.09	3.15	0.27	3.15±0.27
436	Cooks	3: Female	3,422	803,457	92.82	3.54	0.27	3.54±0.27
436	Cooks	4: White	4,547	1,172,926	93.76	3.39	0.22	3.39±0.22
436	Cooks	5: Black	1,439	300,435	93.92	3.33	0.40	3.33±0.40
436	Cooks	6: Other	428	113,866	95.90	3.48	1.10	3.48±1.10
436	Cooks	7: Hispanic	808	209,332	95.02	3.55	0.48	3.55±0.48
436	Cooks	8: NonHispanic	5,606	1,377,895	93.78	3.36	0.19	3.36±0.19
438	Food counter/fountain/related occs	1: Total	695	176,859	93.22	3.45	0.49	3.45±0.49
438	Food counter/fountain/related occs	2: Male	168	45,699	94.29	4.56	1.42	4.56±1.42
438	Food counter/fountain/related occs	3: Female	527	131,160	92.85	3.14	0.54	3.14±0.54
438	Food counter/fountain/related occs	4: White	567	146,014	93.25	3.19	0.49	3.19±0.49
438	Food counter/fountain/related occs	5: Black	94	19,953	90.69	4.90	1.77	4.90±1.77
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	3.20	1.47	3.20±1.47
438	Food counter/fountain/related occs	8: NonHispanic	628	158,926	93.22	3.48	0.48	3.48±0.48
439	Kitchen workers, food preparation	1: Total	789	192,563	95.73	4.21	0.63	4.21±0.63
439	Kitchen workers, food preparation	2: Male	228	57,965	97.45	5.74	1.97	5.74±1.97
439	Kitchen workers, food preparation	3: Female	561	134,598	94.99	3.88	0.65	3.88±0.65
439	Kitchen workers, food preparation	4: White	625	157,272	95.75	4.17	0.73	4.17±0.73
439	Kitchen workers, food preparation	5: Black	131	26,793	97.06	6.37	1.41	6.37±1.41
439	Kitchen workers, food preparation	6: Other	33	8,499	91.19	2.32	0.31	2.32±0.31
439	Kitchen workers, food preparation	7: Hispanic	110	27,503	97.18	5.85	3.19	5.85±3.19
439	Kitchen workers, food preparation	8: NonHispanic	679	165,061	95.49	4.04	0.61	4.04±0.61
443	Waiters/waitresses assistants	1: Total	1,045	264,739	94.08	3.26	0.51	3.26±0.51
443	Waiters/waitresses assistants	2: Male	518	136,888	95.26	3.27	0.75	3.27±0.75
443	Waiters/waitresses assistants	3: Female	527	127,851	92.81	3.26	0.64	3.26±0.64
443	Waiters/waitresses assistants	4: White	751	198,354	94.50	3.53	0.69	3.53±0.69
443	Waiters/waitresses assistants	5: Black	217	45,895	91.51	2.53	0.52	2.53±0.52
443	Waiters/waitresses assistants	6: Other	77	20,490	95.81	3.17	1.06	3.17±1.06
443	Waiters/waitresses assistants	7: Hispanic	219	57,751	95.27	2.87	1.43	2.87±1.43
443	Waiters/waitresses assistants	8: NonHispanic	826	206,988	93.75	3.34	0.53	3.34±0.53
444	Miscellaneous food preparation occs	1: Total	2,037	501,893	93.75	3.49	0.36	3.49±0.36
444	Miscellaneous food preparation occs	2: Male	828	215,820	93.76	3.37	0.50	3.37±0.50
444	Miscellaneous food preparation occs	3: Female	1,209	286,073	93.75	3.58	0.45	3.58±0.45
444	Miscellaneous food preparation occs	4: White	1,446	370,694	93.26	3.41	0.39	3.41±0.39
444	Miscellaneous food preparation occs	5: Black	483	99,163	95.58	3.60	0.89	3.60±0.89
444	Miscellaneous food preparation occs	6: Other	108	32,036	93.86	4.23	1.29	4.23±1.29
444	Miscellaneous food preparation occs	7: Hispanic	344	84,834	95.50	4.42	1.04	4.42±1.04
444	Miscellaneous food preparation occs	8: NonHispanic	1,693	417,059	93.40	3.36	0.36	3.36±0.36
445	Dental assistants	1: Total	693	176,208	94.61	2.84	0.49	2.84±0.49
445	Dental assistants	2: Male	10	2,344	100.00
445	Dental assistants	3: Female	683	173,864	94.53	2.84	0.49	2.84±0.49
445	Dental assistants	4: White	624	158,379	94.81	2.94	0.55	2.94±0.55
445	Dental assistants	5: Black	37	9,318	94.56	1.00	0.00	1.00±0.00
445	Dental assistants	6: Other	32	8,511	90.90	2.97	0.73	2.97±0.73
445	Dental assistants	7: Hispanic	55	14,666	93.76	2.12	0.51	2.12±0.51
445	Dental assistants	8: NonHispanic	638	161,542	94.68	2.91	0.53	2.91±0.53
446	Health aides, except nursing	1: Total	1,368	333,037	91.28	3.77	0.34	3.77±0.34
446	Health aides, except nursing	2: Male	207	51,970	91.78	1.61	0.27	1.61±0.27
446	Health aides, except nursing	3: Female	1,161	281,067	91.19	4.15	0.38	4.15±0.38
446	Health aides, except nursing	4: White	1,007	257,471	91.03	3.56	0.40	3.56±0.40
446	Health aides, except nursing	5: Black	307	61,364	91.41	5.01	0.86	5.01±0.86
446	Health aides, except nursing	6: Other	54	14,202	95.34	1.37	0.29	1.37±0.29
446	Health aides, except nursing	7: Hispanic	111	28,147	90.73	3.14	0.63	3.14±0.63
446	Health aides, except nursing	8: NonHispanic	1,257	304,890	91.33	3.84	0.37	3.84±0.37
447	Nursing aides, orderlies, and attendants	1: Total	6,447	1,477,561	88.93	3.72	0.15	3.72±0.15
447	Nursing aides, orderlies, and attendants	2: Male	603	153,470	90.05	3.51	0.50	3.51±0.50
447	Nursing aides, orderlies, and attendants	3: Female	5,844	1,324,091	88.80	3.74	0.15	3.74±0.15
447	Nursing aides, orderlies, and attendants	4: White	3,846	961,155	88.26	3.65	0.19	3.65±0.19
447	Nursing aides, orderlies, and attendants	5: Black	2,377	458,338	90.01	4.04	0.24	4.04±0.24
447	Nursing aides, orderlies, and attendants	6: Other	224	58,068	91.51	2.51	0.67	2.51±0.67
447	Nursing aides, orderlies, and attendants	7: Hispanic	466	114,207	87.83	4.26	0.60	4.26±0.60
447	Nursing aides, orderlies, and attendants	8: NonHispanic	5,981	1,363,354	89.02	3.67	0.15	3.67±0.15
448	Supervisors, cleaning and building service workers	1: Total	661	159,703	93.38	4.33	0.72	4.33±0.72
448	Supervisors, cleaning and building service workers	2: Male	404	105,146	94.24	4.66	1.04	4.66±1.04
448	Supervisors, cleaning and building service workers	3: Female	257	54,556	91.72	3.89	0.66	3.89±0.66
448	Supervisors, cleaning and building service workers	4: White	446	114,658	93.23	4.25	0.91	4.25±0.91
448	Supervisors, cleaning and building service workers	5: Black	192	38,557	93.38	4.92	1.23	4.92±1.23
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	92.95	4.49	0.75	4.49±0.75
449	Maids and housemen	1: Total	2,366	551,376	92.28	3.24	0.24	3.24±0.24
449	Maids and housemen	2: Male	388	96,994	95.00	4.06	0.81	4.06±0.81
449	Maids and housemen	3: Female	1,978	454,381	91.70	3.14	0.25	3.14±0.25
449	Maids and housemen	4: White	1,409	354,519	91.85	3.30	0.32	3.30±0.32
449	Maids and housemen	5: Black	835	163,377	92.34	3.29	0.39	3.29±0.39
449	Maids and housemen	6: Other	122	33,480	96.55	1.19	0.20	1.19±0.20
449	Maids and housemen	7: Hispanic	367	92,528	93.85	3.20	0.69	3.20±0.69
449	Maids and housemen	8: NonHispanic	1,999	458,848	91.96	3.25	0.26	3.25±0.26
453	Janitors and cleaners	1: Total	8,601	2,067,101	93.01	4.09	0.19	4.09±0.19
453	Janitors and cleaners	2: Male	5,744	1,409,633	94.32	4.11	0.29	4.11±0.29
453	Janitors and cleaners	3: Female	2,857	657,468	90.19	4.06	0.25	4.06±0.25
453	Janitors and cleaners	4: White	5,982	1,517,278	92.90	4.07	0.25	4.07±0.25
453	Janitors and cleaners	5: Black	2,303	459,686	93.06	4.29	0.32	4.29±0.32
453	Janitors and cleaners	6: Other	316	90,137	94.61	3.25	0.80	3.25±0.80
453	Janitors and cleaners	7: Hispanic	1,123	282,343	94.53	4.37	0.70	4.37±0.70
453	Janitors and cleaners	8: NonHispanic	7,478	1,784,758	92.77	4.05	0.20	4.05±0.20
458	Hairdressers and cosmetologists	1: Total	2,972	741,546	94.65	3.49	0.26	3.49±0.26
458	Hairdressers and cosmetologists	2: Male	264	68,233	95.25	3.46	1.11	3.46±1.11
458	Hairdressers and cosmetologists	3: Female	2,708	673,312	94.58	3.49	0.29	3.49±0.29
458	Hairdressers and cosmetologists	4: White	2,544	648,508	94.44	3.40	0.29	3.40±0.29
458	Hairdressers and cosmetologists	5: Black	306	60,742	96.49	4.77	0.96	4.77±0.96
458	Hairdressers and cosmetologists	6: Other	122	32,296	95.40	3.83	2.20	3.83±2.20
458	Hairdressers and cosmetologists	7: Hispanic	192	51,330	93.71	4.10	1.13	4.10±1.13
458	Hairdressers and cosmetologists	8: NonHispanic	2,780	690,216	94.72	3.44	0.27	3.44±0.27
459	Attendants, amusement and recreation facilities	1: Total	442	120,428	95.44	3.56	0.85	3.56±0.85
459	Attendants, amusement and recreation facilities	2: Male	277	77,155	97.21	3.74	1.10	3.74±1.10
459	Attendants, amusement and recreation facilities	3: Female	165	43,272	92.28	3.45	1.13	3.45±1.13
459	Attendants, amusement and recreation facilities	4: White	374	102,381	96.14	3.24	1.01	3.24±1.01
459	Attendants, amusement and recreation facilities	5: Black	42	9,840	93.67	5.38	2.79	5.38±2.79
459	Attendants, amusement and recreation facilities	6: Other	26	8,206	88.85	3.73	1.28	3.73±1.28
459	Attendants, amusement and recreation facilities	7: Hispanic	28	6,990	90.32	1.63	0.53	1.63±0.53
459	Attendants, amusement and recreation facilities	8: NonHispanic	414	113,438	95.75	3.84	0.91	3.84±0.91
468	Child care workers	1: Total	3,537	855,757	94.62	2.96	0.26	2.96±0.26
468	Child care workers	2: Male	117	30,500	94.33	1.71	0.25	1.71±0.25
468	Child care workers	3: Female	3,420	825,256	94.63	3.01	0.27	3.01±0.27
468	Child care workers	4: White	2,892	724,662	95.09	2.86	0.27	2.86±0.27
468	Child care workers	5: Black	567	110,510	91.57	3.45	0.61	3.45±0.61
468	Child care workers	6: Other	78	20,585	94.70	2.23	0.23	2.23±0.23
468	Child care workers	7: Hispanic	268	65,679	94.36	2.44	0.46	2.44±0.46
468	Child care workers	8: NonHispanic	3,269	790,077	94.64	3.01	0.28	3.01±0.28
469	Personal service occs, ne.c.	1: Total	894	222,426	92.63	3.40	0.40	3.40±0.40
469	Personal service occs, ne.c.	2: Male	277	71,762	95.42	4.07	0.81	4.07±0.81
469	Personal service occs, ne.c.	3: Female	617	150,664	91.31	3.23	0.46	3.23±0.46
469	Personal service occs, ne.c.	4: White	675	177,821	92.40	3.48	0.48	3.48±0.48
469	Personal service occs, ne.c.	5: Black	185	36,056	93.78	2.99	0.56	2.99±0.56
469	Personal service occs, ne.c.	6: Other	34	8,548	92.70	3.05	0.03	3.05±0.03
469	Personal service occs, ne.c.	7: Hispanic	94	24,343	93.24	4.21	1.53	4.21±1.53
469	Personal service occs, ne.c.	8: NonHispanic	800	198,082	92.56	3.31	0.42	3.31±0.42
473	Farmers, except horticultural	1: Total	4,899	1,166,644	96.45	5.97	0.39	5.97±0.39
473	Farmers, except horticultural	2: Male	4,077	975,641	96.45	6.40	0.47	6.40±0.47
473	Farmers, except horticultural	3: Female	822	191,002	96.46	3.74	0.56	3.74±0.56
473	Farmers, except horticultural	4: White	4,792	1,139,195	96.48	6.01	0.40	6.01±0.40
473	Farmers, except horticultural	5: Black	71	18,651	94.02	3.59	1.82	3.59±1.82
473	Farmers, except horticultural	6: Other	36	8,798	97.61	10.00	0.00	10.00±0.00
473	Farmers, except horticultural	7: Hispanic	88	22,847	95.29	3.21	0.66	3.21±0.66
473	Farmers, except horticultural	8: NonHispanic	4,811	1,143,797	96.47	6.04	0.41	6.04±0.41
475	Managers, farms, except horticultural	1: Total	692	167,631	95.37	4.45	0.88	4.45±0.88
475	Managers, farms, except horticultural	2: Male	568	139,372	96.40	4.25	0.92	4.25±0.92
475	Managers, farms, except horticultural	3: Female	124	28,260	90.29	4.82	1.38	4.82±1.38
475	Managers, farms, except horticultural	4: White	670	161,151	95.18	4.45	0.88	4.45±0.88
475	Managers, farms, except horticultural	5: Black	14	4,473	100.00
475	Managers, farms, except horticultural	6: Other	8	2,007	100.00
475	Managers, farms, except horticultural	7: Hispanic	52	12,531	98.09	14.00	0.00	14.00±0.00
475	Managers, farms, except horticultural	8: NonHispanic	640	155,100	95.15	4.15	0.84	4.15±0.84
479	Farm workers	1: Total	2,811	686,987	95.91	4.14	0.39	4.14±0.39
479	Farm workers	2: Male	2,210	544,374	96.26	3.77	0.35	3.77±0.35
479	Farm workers	3: Female	601	142,613	94.61	5.10	0.99	5.10±0.99
479	Farm workers	4: White	2,559	626,954	96.23	4.12	0.45	4.12±0.45
479	Farm workers	5: Black	209	50,321	91.97	4.14	0.66	4.14±0.66
479	Farm workers	6: Other	43	9,712	95.85	5.00	0.00	5.00±0.00
479	Farm workers	7: Hispanic	791	198,614	97.56	4.34	0.60	4.34±0.60
479	Farm workers	8: NonHispanic	2,020	488,373	95.24	4.10	0.47	4.10±0.47
485	Supervisors, related agricultural occs	1: Total	385	100,868	95.16	3.82	1.11	3.82±1.11
485	Supervisors, related agricultural occs	2: Male	352	92,700	95.20	3.85	1.21	3.85±1.21
485	Supervisors, related agricultural occs	3: Female	33	8,168	94.69	3.58	1.06	3.58±1.06
485	Supervisors, related agricultural occs	4: White	344	90,024	95.81	2.58	0.58	2.58±0.58
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	82.73	14.00	0.00	14.00±0.00
485	Supervisors, related agricultural occs	7: Hispanic	44	11,614	100.00
485	Supervisors, related agricultural occs	8: NonHispanic	341	89,254	94.53	3.82	1.11	3.82±1.11
486	Groundskeepers and gardeners, except farm	1: Total	2,502	632,818	94.62	4.28	0.39	4.28±0.39
486	Groundskeepers and gardeners, except farm	2: Male	2,322	588,437	94.36	4.33	0.40	4.33±0.40
486	Groundskeepers and gardeners, except farm	3: Female	180	44,381	98.07	2.37	0.60	2.37±0.60
486	Groundskeepers and gardeners, except farm	4: White	2,022	525,323	95.02	4.31	0.45	4.31±0.45
486	Groundskeepers and gardeners, except farm	5: Black	409	87,800	92.31	3.57	0.51	3.57±0.51
486	Groundskeepers and gardeners, except farm	6: Other	71	19,695	94.17	7.72	2.18	7.72±2.18
486	Groundskeepers and gardeners, except farm	7: Hispanic	464	117,128	96.65	4.77	1.27	4.77±1.27
486	Groundskeepers and gardeners, except farm	8: NonHispanic	2,038	515,690	94.16	4.21	0.40	4.21±0.40
496	Timber cutting and logging occs	1: Total	398	104,819	93.73	4.79	0.76	4.79±0.76
496	Timber cutting and logging occs	2: Male	384	101,439	93.52	4.79	0.76	4.79±0.76
496	Timber cutting and logging occs	3: Female	14	3,379	100.00
496	Timber cutting and logging occs	4: White	337	89,520	94.18	4.31	0.69	4.31±0.69
496	Timber cutting and logging occs	5: Black	59	14,842	90.83	6.64	1.75	6.64±1.75
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	93.56	4.79	0.76	4.79±0.76
503	Supervisors, mechanics and repairers	1: Total	1,106	282,895	95.37	3.05	0.44	3.05±0.44
503	Supervisors, mechanics and repairers	2: Male	1,033	265,131	95.23	3.06	0.46	3.06±0.46
503	Supervisors, mechanics and repairers	3: Female	73	17,764	97.58	2.94	1.63	2.94±1.63
503	Supervisors, mechanics and repairers	4: White	1,003	261,524	95.32	3.19	0.46	3.19±0.46
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	1.00	0.00	1.00±0.00
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	95.33	2.97	0.44	2.97±0.44
505	Automobile mechanics	1: Total	3,553	924,831	94.70	3.47	0.23	3.47±0.23
505	Automobile mechanics	2: Male	3,504	911,752	94.74	3.41	0.24	3.41±0.24
505	Automobile mechanics	3: Female	49	13,079	91.54	6.08	1.24	6.08±1.24
505	Automobile mechanics	4: White	3,122	823,872	94.63	3.44	0.25	3.44±0.25
505	Automobile mechanics	5: Black	335	74,283	95.21	3.53	0.68	3.53±0.68
505	Automobile mechanics	6: Other	96	26,676	95.44	4.25	1.60	4.25±1.60
505	Automobile mechanics	7: Hispanic	312	84,143	96.02	3.60	0.80	3.60±0.80
505	Automobile mechanics	8: NonHispanic	3,241	840,688	94.57	3.46	0.24	3.46±0.24
507	Bus, truck, and stationary engine mechanics	1: Total	1,208	312,281	94.46	4.59	0.55	4.59±0.55
507	Bus, truck, and stationary engine mechanics	2: Male	1,196	309,444	94.58	4.71	0.56	4.71±0.56
507	Bus, truck, and stationary engine mechanics	3: Female	12	2,837	81.42	1.00	0.00	1.00±0.00
507	Bus, truck, and stationary engine mechanics	4: White	1,068	279,594	94.18	4.47	0.58	4.47±0.58
507	Bus, truck, and stationary engine mechanics	5: Black	121	26,549	96.08	6.58	2.20	6.58±2.20
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	92.22	5.27	1.36	5.27±1.36
507	Bus, truck, and stationary engine mechanics	8: NonHispanic	1,125	290,585	94.63	4.52	0.60	4.52±0.60
508	Aircraft engine mechanics	1: Total	526	139,849	91.79	3.13	0.52	3.13±0.52
508	Aircraft engine mechanics	2: Male	511	136,446	91.74	3.11	0.54	3.11±0.54
508	Aircraft engine mechanics	3: Female	15	3,403	93.44	4.00	0.00	4.00±0.00
508	Aircraft engine mechanics	4: White	442	119,200	92.02	3.46	0.58	3.46±0.58
508	Aircraft engine mechanics	5: Black	59	13,166	85.04	1.50	0.37	1.50±0.37
508	Aircraft engine mechanics	6: Other	25	7,483	100.00
508	Aircraft engine mechanics	7: Hispanic	59	16,273	93.30	4.32	2.48	4.32±2.48
508	Aircraft engine mechanics	8: NonHispanic	467	123,576	91.59	3.00	0.53	3.00±0.53
514	Automobile body and related repairers	1: Total	751	194,183	94.98	2.99	0.48	2.99±0.48
514	Automobile body and related repairers	2: Male	737	190,848	95.11	2.95	0.49	2.95±0.49
514	Automobile body and related repairers	3: Female	14	3,336	87.48	4.04	2.12	4.04±2.12
514	Automobile body and related repairers	4: White	686	180,530	95.15	3.13	0.54	3.13±0.54
514	Automobile body and related repairers	5: Black	49	9,605	93.68	1.73	0.25	1.73±0.25
514	Automobile body and related repairers	6: Other	16	4,048	90.30	2.00	0.00	2.00±0.00
514	Automobile body and related repairers	7: Hispanic	71	18,112	97.29	1.00	0.00	1.00±0.00
514	Automobile body and related repairers	8: NonHispanic	680	176,071	94.74	3.10	0.51	3.10±0.51
516	Heavy equipment mechanics	1: Total	626	162,026	95.42	3.14	0.73	3.14±0.73
516	Heavy equipment mechanics	2: Male	620	160,399	95.53	3.15	0.76	3.15±0.76
516	Heavy equipment mechanics	3: Female	6	1,627	84.77	3.00	0.00	3.00±0.00
516	Heavy equipment mechanics	4: White	570	148,046	95.41	2.79	0.64	2.79±0.64
516	Heavy equipment mechanics	5: Black	45	10,117	95.96	10.00	0.00	10.00±0.00
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	86.92	1.00	0.00	1.00±0.00
516	Heavy equipment mechanics	8: NonHispanic	588	152,082	95.98	3.60	0.74	3.60±0.74
518	Industrial machinery repairers	1: Total	1,664	423,173	94.22	3.45	0.35	3.45±0.35
518	Industrial machinery repairers	2: Male	1,603	407,439	94.22	3.33	0.36	3.33±0.36
518	Industrial machinery repairers	3: Female	61	15,734	94.17	6.52	1.63	6.52±1.63
518	Industrial machinery repairers	4: White	1,482	378,313	93.76	3.50	0.36	3.50±0.36
518	Industrial machinery repairers	5: Black	147	35,436	97.60	2.09	0.49	2.09±0.49
518	Industrial machinery repairers	6: Other	35	9,424	100.00
518	Industrial machinery repairers	7: Hispanic	117	29,582	94.26	2.67	0.75	2.67±0.75
518	Industrial machinery repairers	8: NonHispanic	1,547	393,591	94.21	3.51	0.38	3.51±0.38
523	Electronic repairers, communication/industrial equipment	1: Total	647	169,027	94.92	2.93	0.45	2.93±0.45
523	Electronic repairers, communication/industrial equipment	2: Male	582	153,324	94.92	2.97	0.49	2.97±0.49
523	Electronic repairers, communication/industrial equipment	3: Female	65	15,702	94.99	2.54	0.31	2.54±0.31
523	Electronic repairers, communication/industrial equipment	4: White	540	142,679	95.19	2.92	0.50	2.92±0.50
523	Electronic repairers, communication/industrial equipment	5: Black	89	21,472	92.02	2.99	0.92	2.99±0.92
523	Electronic repairers, communication/industrial equipment	6: Other	18	4,875	100.00
523	Electronic repairers, communication/industrial equipment	7: Hispanic	50	13,124	94.47	3.68	0.31	3.68±0.31
523	Electronic repairers, communication/industrial equipment	8: NonHispanic	597	155,903	94.96	2.86	0.48	2.86±0.48
529	Telephone installers and repairers	1: Total	644	162,838	94.96	3.51	0.54	3.51±0.54
529	Telephone installers and repairers	2: Male	567	144,286	95.07	3.04	0.52	3.04±0.52
529	Telephone installers and repairers	3: Female	77	18,552	94.14	6.63	1.78	6.63±1.78
529	Telephone installers and repairers	4: White	571	144,681	94.79	3.62	0.58	3.62±0.58
529	Telephone installers and repairers	5: Black	60	15,049	98.43	2.00	0.00	2.00±0.00
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	94.72	3.59	0.58	3.59±0.58
534	Heating air conditioning, and refrigeration mechanics	1: Total	848	225,091	93.18	2.98	0.42	2.98±0.42
534	Heating air conditioning, and refrigeration mechanics	2: Male	844	224,245	93.25	3.01	0.43	3.01±0.43
534	Heating air conditioning, and refrigeration mechanics	3: Female	4	846	75.63	1.00	0.00	1.00±0.00
534	Heating air conditioning, and refrigeration mechanics	4: White	785	208,347	92.87	2.93	0.44	2.93±0.44
534	Heating air conditioning, and refrigeration mechanics	5: Black	46	11,777	97.65	1.00	0.00	1.00±0.00
534	Heating air conditioning, and refrigeration mechanics	6: Other	17	4,968	95.72	9.00	0.00	9.00±0.00
534	Heating air conditioning, and refrigeration mechanics	7: Hispanic	61	15,365	96.82	6.50	2.47	6.50±2.47
534	Heating air conditioning, and refrigeration mechanics	8: NonHispanic	787	209,727	92.91	2.87	0.42	2.87±0.42
547	Specified mechanics and repairers	1: Total	994	257,127	92.95	3.54	0.45	3.54±0.45
547	Specified mechanics and repairers	2: Male	934	242,820	92.92	3.60	0.47	3.60±0.47
547	Specified mechanics and repairers	3: Female	60	14,307	93.50	2.48	0.45	2.47±0.45
547	Specified mechanics and repairers	4: White	874	227,503	93.34	3.43	0.46	3.43±0.46
547	Specified mechanics and repairers	5: Black	85	19,706	86.08	3.33	0.94	3.33±0.94
547	Specified mechanics and repairers	6: Other	35	9,917	97.79	14.00	0.00	14.00±0.00
547	Specified mechanics and repairers	7: Hispanic	85	21,620	93.24	5.02	1.24	5.02±1.24
547	Specified mechanics and repairers	8: NonHispanic	909	235,507	92.93	3.42	0.47	3.42±0.47
549	Not specified mechanics and repairers	1: Total	982	254,196	93.60	5.00	0.64	5.00±0.64
549	Not specified mechanics and repairers	2: Male	923	240,104	93.95	5.13	0.71	5.13±0.71
549	Not specified mechanics and repairers	3: Female	59	14,091	87.55	3.87	1.32	3.87±1.32
549	Not specified mechanics and repairers	4: White	841	218,993	94.06	4.75	0.78	4.75±0.78
549	Not specified mechanics and repairers	5: Black	119	29,737	93.11	6.22	1.95	6.22±1.95
549	Not specified mechanics and repairers	6: Other	22	5,465	77.67	5.57	2.39	5.57±2.39
549	Not specified mechanics and repairers	7: Hispanic	81	20,810	86.46	3.92	1.27	3.92±1.27
549	Not specified mechanics and repairers	8: NonHispanic	901	233,386	94.24	5.22	0.74	5.22±0.74
558	Supervisors, construction	1: Total	1,970	509,017	95.58	3.55	0.38	3.55±0.38
558	Supervisors, construction	2: Male	1,938	501,602	95.65	3.63	0.40	3.63±0.40
558	Supervisors, construction	3: Female	32	7,415	90.65	1.00	0.00	1.00±0.00
558	Supervisors, construction	4: White	1,824	477,148	95.69	3.56	0.39	3.56±0.39
558	Supervisors, construction	5: Black	116	23,959	96.61	1.13	0.14	1.13±0.14
558	Supervisors, construction	6: Other	30	7,909	85.82	5.18	2.00	5.18±2.00
558	Supervisors, construction	7: Hispanic	124	33,067	95.94	6.03	1.87	6.03±1.87
558	Supervisors, construction	8: NonHispanic	1,846	475,950	95.55	3.39	0.40	3.39±0.40
563	Brickmasons and stonemasons	1: Total	699	179,883	95.09	5.04	0.75	5.04±0.75
563	Brickmasons and stonemasons	2: Male	695	178,943	95.06	5.04	0.75	5.04±0.75
563	Brickmasons and stonemasons	3: Female	4	940	100.00
563	Brickmasons and stonemasons	4: White	574	151,238	94.70	4.98	0.82	4.98±0.82
563	Brickmasons and stonemasons	5: Black	114	25,281	98.67	10.36	3.59	10.36±3.59
563	Brickmasons and stonemasons	6: Other	11	3,363	85.48	2.44	0.35	2.44±0.35
563	Brickmasons and stonemasons	7: Hispanic	61	15,571	94.20	3.86	1.65	3.86±1.65
563	Brickmasons and stonemasons	8: NonHispanic	638	164,312	95.17	5.18	0.86	5.18±0.86
567	Carpenters	1: Total	5,112	1,336,839	94.11	4.07	0.24	4.07±0.24
567	Carpenters	2: Male	5,047	1,320,133	94.12	4.07	0.24	4.07±0.24
567	Carpenters	3: Female	65	16,705	94.03	3.89	0.60	3.89±0.60
567	Carpenters	4: White	4,685	1,234,330	94.16	3.96	0.24	3.96±0.24
567	Carpenters	5: Black	337	75,647	94.33	5.28	0.72	5.28±0.72
567	Carpenters	6: Other	90	26,862	91.31	5.12	1.41	5.12±1.41
567	Carpenters	7: Hispanic	388	102,190	94.59	4.62	0.82	4.62±0.82
567	Carpenters	8: NonHispanic	4,724	1,234,649	94.08	4.03	0.24	4.03±0.24
573	Drywall installers	1: Total	512	137,655	94.07	3.16	0.66	3.16±0.66
573	Drywall installers	2: Male	496	134,036	94.08	3.11	0.68	3.11±0.68
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	93.84	3.08	0.69	3.08±0.69
573	Drywall installers	5: Black	42	9,959	94.55	4.29	1.76	4.29±1.76
573	Drywall installers	6: Other	12	4,183	100.00
573	Drywall installers	7: Hispanic	81	23,712	94.12	1.71	0.51	1.71±0.51
573	Drywall installers	8: NonHispanic	431	113,944	94.07	3.46	0.78	3.46±0.78
575	Electricians	1: Total	2,416	626,998	94.61	4.21	0.44	4.21±0.44
575	Electricians	2: Male	2,364	615,184	94.75	4.23	0.45	4.23±0.45
575	Electricians	3: Female	52	11,815	87.48	3.70	1.81	3.70±1.81
575	Electricians	4: White	2,187	574,256	94.83	3.91	0.39	3.91±0.39
575	Electricians	5: Black	158	33,466	90.64	6.71	1.66	6.71±1.66
575	Electricians	6: Other	71	19,276	95.13	5.34	3.18	5.34±3.18
575	Electricians	7: Hispanic	159	40,665	95.12	4.66	2.07	4.66±2.07
575	Electricians	8: NonHispanic	2,257	586,333	94.58	4.18	0.46	4.18±0.46
579	Painters, construction and maintenance	1: Total	1,918	495,214	94.63	5.09	0.45	5.09±0.45
579	Painters, construction and maintenance	2: Male	1,784	461,048	94.55	5.06	0.46	5.06±0.46
579	Painters, construction and maintenance	3: Female	134	34,166	95.71	5.68	1.52	5.68±1.52
579	Painters, construction and maintenance	4: White	1,667	439,798	94.44	4.94	0.47	4.94±0.47
579	Painters, construction and maintenance	5: Black	208	43,566	95.06	6.76	1.58	6.76±1.58
579	Painters, construction and maintenance	6: Other	43	11,850	100.00
579	Painters, construction and maintenance	7: Hispanic	264	70,062	95.22	3.97	1.17	3.97±1.17
579	Painters, construction and maintenance	8: NonHispanic	1,654	425,152	94.53	5.25	0.48	5.25±0.48
585	Plumbers, pipefitters, and steamfitters	1: Total	1,623	419,839	94.37	4.13	0.40	4.13±0.40
585	Plumbers, pipefitters, and steamfitters	2: Male	1,599	414,524	94.56	4.00	0.40	4.00±0.40
585	Plumbers, pipefitters, and steamfitters	3: Female	24	5,314	79.86	6.91	2.08	6.91±2.08
585	Plumbers, pipefitters, and steamfitters	4: White	1,458	380,160	94.26	4.14	0.43	4.14±0.43
585	Plumbers, pipefitters, and steamfitters	5: Black	138	32,057	95.83	3.25	1.08	3.25±1.08
585	Plumbers, pipefitters, and steamfitters	6: Other	27	7,622	94.04	6.38	2.47	6.38±2.47
585	Plumbers, pipefitters, and steamfitters	7: Hispanic	116	30,643	95.28	4.73	2.35	4.73±2.35
585	Plumbers, pipefitters, and steamfitters	8: NonHispanic	1,507	389,196	94.30	4.10	0.41	4.10±0.41
595	Roofers	1: Total	613	158,847	94.20	6.00	0.77	6.00±0.77
595	Roofers	2: Male	605	156,840	94.13	6.00	0.77	6.00±0.77
595	Roofers	3: Female	8	2,007	100.00
595	Roofers	4: White	530	139,456	94.29	5.79	0.86	5.79±0.86
595	Roofers	5: Black	66	14,822	91.56	7.35	1.65	7.35±1.65
595	Roofers	6: Other	17	4,569	100.00
595	Roofers	7: Hispanic	91	22,136	95.68	6.56	3.02	6.56±3.02
595	Roofers	8: NonHispanic	522	136,711	93.96	5.94	0.76	5.94±0.76
599	Construction trades, nec.	1: Total	662	169,750	93.20	3.38	0.57	3.38±0.57
599	Construction trades, nec.	2: Male	651	167,215	93.45	3.34	0.59	3.34±0.59
599	Construction trades, nec.	3: Female	11	2,535	76.85	4.21	0.67	4.21±0.67
599	Construction trades, nec.	4: White	570	149,659	93.23	3.03	0.59	3.03±0.59
599	Construction trades, nec.	5: Black	81	17,411	91.93	5.89	1.11	5.89±1.11
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	93.00	3.03	0.47	3.03±0.47
628	Supervisors, production occs	1: Total	4,333	1,092,668	95.56	3.56	0.26	3.56±0.26
628	Supervisors, production occs	2: Male	3,581	914,717	95.79	3.52	0.29	3.52±0.29
628	Supervisors, production occs	3: Female	752	177,951	94.42	3.71	0.52	3.71±0.52
628	Supervisors, production occs	4: White	3,811	972,493	95.57	3.56	0.28	3.56±0.28
628	Supervisors, production occs	5: Black	425	94,927	94.94	2.84	0.50	2.84±0.50
628	Supervisors, production occs	6: Other	97	25,248	97.49	8.73	0.65	8.73±0.65
628	Supervisors, production occs	7: Hispanic	322	81,072	97.54	3.43	1.54	3.43±1.54
628	Supervisors, production occs	8: NonHispanic	4,011	1,011,596	95.40	3.56	0.27	3.56±0.27
634	Tool and die makers	1: Total	551	143,231	97.21	3.01	0.82	3.01±0.82
634	Tool and die makers	2: Male	540	140,484	97.16	3.01	0.82	3.01±0.82
634	Tool and die makers	3: Female	11	2,747	100.00
634	Tool and die makers	4: White	528	138,039	97.56	3.33	0.95	3.33±0.95
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	83.08	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	97.14	3.01	0.82	3.01±0.82
637	Machinists	1: Total	2,049	522,513	93.07	3.70	0.33	3.70±0.33
637	Machinists	2: Male	1,949	499,347	93.20	3.73	0.36	3.73±0.36
637	Machinists	3: Female	100	23,166	90.17	3.21	0.93	3.21±0.93
637	Machinists	4: White	1,856	479,828	93.41	3.63	0.36	3.63±0.36
637	Machinists	5: Black	132	27,803	89.08	5.14	1.40	5.14±1.40
637	Machinists	6: Other	61	14,883	89.30	2.40	1.15	2.40±1.15
637	Machinists	7: Hispanic	135	34,779	92.83	3.79	0.89	3.79±0.89
637	Machinists	8: NonHispanic	1,914	487,734	93.08	3.69	0.36	3.69±0.36
653	Sheet metal workers	1: Total	549	143,964	93.55	3.85	0.74	3.85±0.74
653	Sheet metal workers	2: Male	505	133,631	94.04	4.13	0.84	4.13±0.84
653	Sheet metal workers	3: Female	44	10,332	87.21	2.13	0.70	2.13±0.70
653	Sheet metal workers	4: White	487	129,086	95.11	3.97	0.85	3.97±0.85
653	Sheet metal workers	5: Black	45	9,795	74.15	4.03	1.62	4.03±1.62
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	88.11	1.60	0.25	1.60±0.25
653	Sheet metal workers	8: NonHispanic	510	134,318	93.94	4.16	0.84	4.16±0.84
666	Dressmakers	1: Total	499	123,787	94.24	4.18	0.85	4.18±0.85
666	Dressmakers	2: Male	29	7,254	93.43	12.08	1.41	12.08±1.41
666	Dressmakers	3: Female	470	116,533	94.29	3.62	0.78	3.62±0.78
666	Dressmakers	4: White	392	98,967	93.72	4.32	0.91	4.32±0.91
666	Dressmakers	5: Black	60	11,937	94.28	3.95	2.39	3.95±2.39
666	Dressmakers	6: Other	47	12,883	98.21	1.00	0.00	1.00±0.00
666	Dressmakers	7: Hispanic	66	16,560	94.83	3.86	1.97	3.86±1.97
666	Dressmakers	8: NonHispanic	433	107,227	94.15	4.22	0.93	4.22±0.93
683	Electrical/electronic equipment assemblers	1: Total	921	230,284	90.58	3.89	0.49	3.89±0.49
683	Electrical/electronic equipment assemblers	2: Male	279	71,527	93.76	3.09	0.58	3.09±0.58
683	Electrical/electronic equipment assemblers	3: Female	642	158,757	89.15	4.09	0.59	4.09±0.59
683	Electrical/electronic equipment assemblers	4: White	688	177,005	90.66	3.92	0.52	3.92±0.52
683	Electrical/electronic equipment assemblers	5: Black	130	27,767	86.00	4.44	1.53	4.44±1.53
683	Electrical/electronic equipment assemblers	6: Other	103	25,511	94.98	1.78	0.35	1.78±0.35
683	Electrical/electronic equipment assemblers	7: Hispanic	151	43,150	90.23	3.39	0.69	3.39±0.69
683	Electrical/electronic equipment assemblers	8: NonHispanic	770	187,134	90.66	4.01	0.57	4.01±0.57
686	Butchers and meat cutters	1: Total	844	213,405	93.48	4.39	0.54	4.39±0.54
686	Butchers and meat cutters	2: Male	660	170,028	94.73	4.21	0.66	4.21±0.66
686	Butchers and meat cutters	3: Female	184	43,376	88.58	4.71	0.86	4.71±0.86
686	Butchers and meat cutters	4: White	652	169,041	93.95	4.43	0.62	4.43±0.62
686	Butchers and meat cutters	5: Black	142	30,558	90.99	4.81	1.25	4.81±1.25
686	Butchers and meat cutters	6: Other	50	13,805	93.30	2.66	1.05	2.66±1.05
686	Butchers and meat cutters	7: Hispanic	101	24,788	97.00	6.48	2.95	6.48±2.95
686	Butchers and meat cutters	8: NonHispanic	743	188,617	93.02	4.27	0.53	4.27±0.53
687	Bakers	1: Total	499	128,093	94.28	3.21	0.58	3.21±0.58
687	Bakers	2: Male	275	72,067	95.15	3.23	0.75	3.23±0.75
687	Bakers	3: Female	224	56,026	93.16	3.19	0.85	3.19±0.85
687	Bakers	4: White	408	104,895	93.49	3.29	0.62	3.29±0.62
687	Bakers	5: Black	58	13,101	96.15	2.13	0.06	2.13±0.06
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	93.38	3.21	0.58	3.21±0.58
689	Inspectors, testers, and graders	1: Total	542	137,766	92.13	5.05	0.60	5.05±0.60
689	Inspectors, testers, and graders	2: Male	400	102,203	92.28	4.65	0.76	4.65±0.76
689	Inspectors, testers, and graders	3: Female	142	35,562	91.70	6.13	1.44	6.13±1.44
689	Inspectors, testers, and graders	4: White	453	116,868	91.60	4.88	0.63	4.88±0.63
689	Inspectors, testers, and graders	5: Black	64	13,777	94.04	5.92	2.08	5.92±2.08
689	Inspectors, testers, and graders	6: Other	25	7,121	97.09	10.00	0.00	10.00±0.00
689	Inspectors, testers, and graders	7: Hispanic	33	7,815	94.30	14.00	0.00	14.00±0.00
689	Inspectors, testers, and graders	8: NonHispanic	509	129,951	92.00	4.67	0.56	4.67±0.56
696	Stationary engineers	1: Total	593	149,560	93.98	3.42	0.59	3.42±0.59
696	Stationary engineers	2: Male	570	144,091	93.93	3.49	0.60	3.49±0.60
696	Stationary engineers	3: Female	23	5,468	95.38	1.00	0.00	1.00±0.00
696	Stationary engineers	4: White	508	131,075	93.71	3.09	0.55	3.09±0.55
696	Stationary engineers	5: Black	65	13,386	94.34	7.01	3.06	7.01±3.06
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	93.84	3.46	0.60	3.46±0.60
706	Punching and stamping press machine operators	1: Total	503	126,355	92.33	4.61	0.65	4.61±0.65
706	Punching and stamping press machine operators	2: Male	353	89,818	93.95	5.22	0.93	5.22±0.93
706	Punching and stamping press machine operators	3: Female	150	36,536	88.34	3.84	0.84	3.84±0.84
706	Punching and stamping press machine operators	4: White	435	112,659	92.77	4.81	0.76	4.81±0.76
706	Punching and stamping press machine operators	5: Black	61	12,003	87.94	3.54	1.02	3.54±1.02
706	Punching and stamping press machine operators	6: Other	7	1,693	94.14	4.00	0.00	4.00±0.00
706	Punching and stamping press machine operators	7: Hispanic	50	12,198	90.53	5.62	1.48	5.62±1.48
706	Punching and stamping press machine operators	8: NonHispanic	453	114,156	92.52	4.47	0.69	4.47±0.69
709	Grinding/abrading/buffing/polishing machine operators	1: Total	493	121,344	92.27	5.15	0.69	5.15±0.69
709	Grinding/abrading/buffing/polishing machine operators	2: Male	407	99,658	91.89	4.72	0.76	4.72±0.76
709	Grinding/abrading/buffing/polishing machine operators	3: Female	86	21,686	94.00	7.81	1.38	7.81±1.38
709	Grinding/abrading/buffing/polishing machine operators	4: White	419	105,584	92.35	5.13	0.77	5.13±0.77
709	Grinding/abrading/buffing/polishing machine operators	5: Black	64	13,419	90.30	5.27	1.72	5.27±1.72
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	95.98	2.83	1.19	2.83±1.19
709	Grinding/abrading/buffing/polishing machine operators	8: NonHispanic	435	105,934	91.73	5.31	0.73	5.31±0.73
719	Molding and casting machine operators	1: Total	412	103,758	90.72	4.73	0.66	4.73±0.66
719	Molding and casting machine operators	2: Male	300	76,325	90.81	5.08	0.78	5.08±0.78
719	Molding and casting machine operators	3: Female	112	27,432	90.49	3.79	1.07	3.79±1.07
719	Molding and casting machine operators	4: White	340	86,981	90.27	4.63	0.75	4.63±0.75
719	Molding and casting machine operators	5: Black	61	14,078	91.71	5.46	0.63	5.46±0.63
719	Molding and casting machine operators	6: Other	11	2,699	100.00
719	Molding and casting machine operators	7: Hispanic	44	11,795	98.29	5.00	0.00	5.00±0.00
719	Molding and casting machine operators	8: NonHispanic	368	91,963	89.75	4.72	0.67	4.72±0.67
734	Printing press operators	1: Total	1,233	323,661	95.71	3.01	0.42	3.01±0.42
734	Printing press operators	2: Male	1,026	274,255	95.99	3.01	0.45	3.01±0.45
734	Printing press operators	3: Female	207	49,407	94.14	3.00	0.91	3.00±0.91
734	Printing press operators	4: White	1,066	284,389	95.52	2.68	0.36	2.68±0.36
734	Printing press operators	5: Black	122	26,343	97.36	6.66	3.25	6.66±3.25
734	Printing press operators	6: Other	45	12,929	96.53	6.91	1.41	6.91±1.41
734	Printing press operators	7: Hispanic	109	29,482	93.90	3.89	0.91	3.89±0.91
734	Printing press operators	8: NonHispanic	1,124	294,180	95.89	2.88	0.46	2.88±0.46
744	Textile sewing machine operators	1: Total	2,719	656,092	93.83	4.08	0.30	4.08±0.30
744	Textile sewing machine operators	2: Male	257	65,258	96.87	3.48	0.70	3.48±0.70
744	Textile sewing machine operators	3: Female	2,462	590,833	93.50	4.12	0.32	4.12±0.32
744	Textile sewing machine operators	4: White	1,900	475,318	93.37	4.00	0.36	4.00±0.36
744	Textile sewing machine operators	5: Black	600	125,913	94.62	4.39	0.76	4.39±0.76
744	Textile sewing machine operators	6: Other	219	54,860	95.99	4.30	1.86	4.30±1.86
744	Textile sewing machine operators	7: Hispanic	519	125,255	94.54	4.41	0.73	4.41±0.73
744	Textile sewing machine operators	8: NonHispanic	2,200	530,836	93.66	4.02	0.32	4.02±0.32
747	Pressing machine operators	1: Total	568	131,707	93.49	3.39	0.55	3.39±0.55
747	Pressing machine operators	2: Male	201	48,482	95.24	4.16	1.60	4.16±1.60
747	Pressing machine operators	3: Female	367	83,225	92.47	3.11	0.50	3.11±0.50
747	Pressing machine operators	4: White	349	89,223	93.38	3.14	0.60	3.14±0.60
747	Pressing machine operators	5: Black	189	35,105	92.39	3.95	1.12	3.95±1.12
747	Pressing machine operators	6: Other	30	7,379	100.00
747	Pressing machine operators	7: Hispanic	94	21,240	94.58	6.21	1.52	6.21±1.52
747	Pressing machine operators	8: NonHispanic	474	110,467	93.28	2.96	0.53	2.96±0.53
748	Laundering and dry cleaning machine operators	1: Total	734	174,095	93.64	3.79	0.53	3.79±0.53
748	Laundering and dry cleaning machine operators	2: Male	281	70,523	94.64	4.32	0.99	4.32±0.99
748	Laundering and dry cleaning machine operators	3: Female	453	103,572	92.95	3.52	0.68	3.52±0.68
748	Laundering and dry cleaning machine operators	4: White	501	127,444	93.50	3.51	0.56	3.51±0.56
748	Laundering and dry cleaning machine operators	5: Black	201	37,646	93.09	4.89	1.53	4.89±1.53
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	96.65	6.81	2.54	6.81±2.54
748	Laundering and dry cleaning machine operators	8: NonHispanic	626	147,160	93.09	3.53	0.51	3.53±0.51
754	Packaging and filling machine operators	1: Total	1,556	381,818	93.25	4.17	0.47	4.17±0.47
754	Packaging and filling machine operators	2: Male	551	143,451	92.78	4.11	0.69	4.11±0.69
754	Packaging and filling machine operators	3: Female	1,005	238,367	93.53	4.20	0.55	4.20±0.55
754	Packaging and filling machine operators	4: White	1,197	300,360	93.08	4.36	0.52	4.36±0.52
754	Packaging and filling machine operators	5: Black	287	61,369	93.70	3.21	0.85	3.21±0.85
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	95.03	2.86	0.64	2.86±0.64
754	Packaging and filling machine operators	8: NonHispanic	1,230	300,127	92.76	4.41	0.54	4.41±0.54
756	Mixing and blending machine operators	1: Total	491	123,593	93.29	5.63	0.96	5.63±0.96
756	Mixing and blending machine operators	2: Male	430	108,557	93.30	5.87	1.09	5.87±1.09
756	Mixing and blending machine operators	3: Female	61	15,036	93.25	3.91	1.44	3.91±1.44
756	Mixing and blending machine operators	4: White	389	101,261	92.61	5.64	1.05	5.64±1.05
756	Mixing and blending machine operators	5: Black	94	20,328	96.02	5.56	2.15	5.56±2.15
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	92.79	5.88	0.99	5.88±0.99
759	Painting and paint spraying machine operators	1: Total	734	184,736	93.98	3.68	0.71	3.68±0.71
759	Painting and paint spraying machine operators	2: Male	621	157,929	94.04	3.21	0.60	3.21±0.60
759	Painting and paint spraying machine operators	3: Female	113	26,807	93.63	6.25	2.54	6.25±2.54
759	Painting and paint spraying machine operators	4: White	595	152,631	94.31	3.88	0.90	3.88±0.90
759	Painting and paint spraying machine operators	5: Black	111	24,561	93.11	3.57	0.90	3.57±0.90
759	Painting and paint spraying machine operators	6: Other	28	7,544	90.22	1.59	0.51	1.59±0.51
759	Painting and paint spraying machine operators	7: Hispanic	126	31,543	95.01	5.48	1.89	5.48±1.89
759	Painting and paint spraying machine operators	8: NonHispanic	608	153,193	93.77	3.38	0.75	3.38±0.75
769	Slicing and cutting machine operators	1: Total	821	204,112	93.83	3.53	0.51	3.53±0.51
769	Slicing and cutting machine operators	2: Male	570	144,479	94.77	3.41	0.68	3.41±0.68
769	Slicing and cutting machine operators	3: Female	251	59,633	91.56	3.72	0.79	3.72±0.79
769	Slicing and cutting machine operators	4: White	641	163,199	93.90	3.36	0.58	3.36±0.58
769	Slicing and cutting machine operators	5: Black	146	31,649	93.27	3.78	1.27	3.78±1.27
769	Slicing and cutting machine operators	6: Other	34	9,264	94.46	5.89	2.83	5.89±2.83
769	Slicing and cutting machine operators	7: Hispanic	119	31,205	94.66	1.96	0.38	1.96±0.38
769	Slicing and cutting machine operators	8: NonHispanic	702	172,907	93.68	3.77	0.58	3.77±0.58
777	Miscellaneous machine operators	1: Total	3,648	912,207	93.33	4.39	0.30	4.39±0.30
777	Miscellaneous machine operators	2: Male	2,457	629,255	94.25	4.22	0.37	4.22±0.37
777	Miscellaneous machine operators	3: Female	1,191	282,952	91.28	4.64	0.46	4.64±0.46
777	Miscellaneous machine operators	4: White	2,831	728,381	93.32	4.14	0.34	4.14±0.34
777	Miscellaneous machine operators	5: Black	678	148,646	92.63	5.51	0.63	5.51±0.63
777	Miscellaneous machine operators	6: Other	139	35,180	96.59	4.15	1.45	4.15±1.45
777	Miscellaneous machine operators	7: Hispanic	466	117,840	94.16	5.61	0.78	5.61±0.78
777	Miscellaneous machine operators	8: NonHispanic	3,182	794,367	93.21	4.23	0.30	4.23±0.30
779	Machine operators, not specified	1: Total	2,122	528,820	92.93	4.01	0.29	4.01±0.29
779	Machine operators, not specified	2: Male	1,427	362,688	94.45	4.33	0.40	4.33±0.40
779	Machine operators, not specified	3: Female	695	166,133	89.62	3.63	0.40	3.63±0.40
779	Machine operators, not specified	4: White	1,672	425,180	93.24	3.77	0.34	3.77±0.34
779	Machine operators, not specified	5: Black	383	84,933	91.49	4.65	0.80	4.65±0.80
779	Machine operators, not specified	6: Other	67	18,707	92.36	5.47	1.41	5.47±1.41
779	Machine operators, not specified	7: Hispanic	217	55,980	96.16	2.73	0.87	2.73±0.87
779	Machine operators, not specified	8: NonHispanic	1,905	472,840	92.55	4.09	0.31	4.09±0.31
783	Welders and cutters	1: Total	2,341	597,287	93.09	3.70	0.30	3.70±0.30
783	Welders and cutters	2: Male	2,229	570,138	93.23	3.57	0.29	3.57±0.29
783	Welders and cutters	3: Female	112	27,148	90.24	5.56	1.89	5.56±1.89
783	Welders and cutters	4: White	2,032	523,193	93.17	3.51	0.33	3.51±0.33
783	Welders and cutters	5: Black	245	56,454	92.80	5.32	0.95	5.32±0.95
783	Welders and cutters	6: Other	64	17,640	91.55	3.79	1.26	3.79±1.26
783	Welders and cutters	7: Hispanic	256	65,552	96.69	3.11	0.52	3.11±0.52
783	Welders and cutters	8: NonHispanic	2,085	531,734	92.65	3.73	0.32	3.73±0.32
785	Assemblers	1: Total	4,153	1,026,023	91.53	3.98	0.23	3.98±0.23
785	Assemblers	2: Male	2,189	553,313	92.88	3.69	0.29	3.69±0.29
785	Assemblers	3: Female	1,964	472,709	89.94	4.21	0.30	4.21±0.30
785	Assemblers	4: White	3,268	828,216	91.61	3.78	0.24	3.78±0.24
785	Assemblers	5: Black	694	149,750	89.29	4.80	0.49	4.80±0.49
785	Assemblers	6: Other	191	48,057	97.05	4.20	2.17	4.20±2.17
785	Assemblers	7: Hispanic	488	119,226	94.25	4.36	0.77	4.36±0.77
785	Assemblers	8: NonHispanic	3,665	906,797	91.17	3.94	0.24	3.94±0.24
796	Production inspectors, checkers, and examiners	1: Total	2,306	571,665	92.78	4.42	0.36	4.42±0.36
796	Production inspectors, checkers, and examiners	2: Male	1,011	259,447	93.88	3.83	0.61	3.83±0.61
796	Production inspectors, checkers, and examiners	3: Female	1,295	312,218	91.87	4.79	0.45	4.79±0.45
796	Production inspectors, checkers, and examiners	4: White	1,836	465,378	93.41	4.21	0.42	4.21±0.42
796	Production inspectors, checkers, and examiners	5: Black	374	82,496	89.43	5.27	0.95	5.27±0.95
796	Production inspectors, checkers, and examiners	6: Other	96	23,790	92.02	3.92	1.61	3.92±1.61
796	Production inspectors, checkers, and examiners	7: Hispanic	220	55,311	94.73	4.38	1.09	4.38±1.09
796	Production inspectors, checkers, and examiners	8: NonHispanic	2,086	516,354	92.57	4.42	0.39	4.42±0.39
799	Graders and sorters, except agricultural	1: Total	529	125,068	93.18	3.32	0.79	3.32±0.79
799	Graders and sorters, except agricultural	2: Male	209	51,576	94.06	2.92	0.74	2.92±0.74
799	Graders and sorters, except agricultural	3: Female	320	73,492	92.56	3.54	1.12	3.54±1.12
799	Graders and sorters, except agricultural	4: White	388	94,950	92.97	3.47	0.95	3.47±0.95
799	Graders and sorters, except agricultural	5: Black	116	23,863	93.07	1.92	0.44	1.92±0.44
799	Graders and sorters, except agricultural	6: Other	25	6,254	96.83	10.00	0.00	10.00±0.00
799	Graders and sorters, except agricultural	7: Hispanic	125	29,707	92.94	6.15	1.68	6.15±1.68
799	Graders and sorters, except agricultural	8: NonHispanic	404	95,361	93.26	2.39	0.46	2.39±0.46
804	Truck drivers	1: Total	10,449	2,640,585	94.42	4.87	0.20	4.87±0.20
804	Truck drivers	2: Male	9,987	2,528,749	94.65	4.89	0.21	4.89±0.21
804	Truck drivers	3: Female	462	111,836	89.32	4.73	0.62	4.73±0.62
804	Truck drivers	4: White	8,690	2,232,215	94.60	4.90	0.22	4.90±0.22
804	Truck drivers	5: Black	1,567	356,271	93.50	4.62	0.44	4.62±0.44
804	Truck drivers	6: Other	192	52,099	93.19	5.74	1.07	5.74±1.07
804	Truck drivers	7: Hispanic	784	207,490	93.39	3.73	0.62	3.73±0.62
804	Truck drivers	8: NonHispanic	9,665	2,433,095	94.51	4.99	0.21	4.99±0.21
806	Driver-sales workers	1: Total	570	146,319	97.49	5.70	1.08	5.70±1.08
806	Driver-sales workers	2: Male	509	131,897	97.88	5.90	1.52	5.90±1.52
806	Driver-sales workers	3: Female	61	14,422	93.99	5.03	1.63	5.03±1.63
806	Driver-sales workers	4: White	525	135,799	97.46	5.93	1.12	5.93±1.12
806	Driver-sales workers	5: Black	33	7,422	100.00
806	Driver-sales workers	6: Other	12	3,098	92.87	2.00	0.00	2.00±0.00
806	Driver-sales workers	7: Hispanic	37	9,755	97.85	1.00	0.00	1.00±0.00
806	Driver-sales workers	8: NonHispanic	533	136,564	97.47	5.98	1.25	5.98±1.25
808	Bus drivers	1: Total	1,845	437,321	93.60	5.13	0.44	5.13±0.44
808	Bus drivers	2: Male	939	223,457	94.96	4.97	0.72	4.97±0.72
808	Bus drivers	3: Female	906	213,865	92.17	5.24	0.55	5.24±0.55
808	Bus drivers	4: White	1,283	322,937	94.24	4.94	0.58	4.94±0.58
808	Bus drivers	5: Black	521	103,439	90.91	5.51	0.64	5.51±0.64
808	Bus drivers	6: Other	41	10,945	100.00
808	Bus drivers	7: Hispanic	114	28,360	93.07	7.28	2.32	7.28±2.32
808	Bus drivers	8: NonHispanic	1,731	408,961	93.63	4.97	0.39	4.97±0.39
809	Taxicab drivers and chauffeurs	1: Total	777	198,640	94.65	4.30	0.71	4.30±0.71
809	Taxicab drivers and chauffeurs	2: Male	669	173,020	95.05	4.41	0.84	4.41±0.84
809	Taxicab drivers and chauffeurs	3: Female	108	25,620	91.92	3.85	1.04	3.85±1.04
809	Taxicab drivers and chauffeurs	4: White	504	132,486	93.82	4.28	0.87	4.28±0.87
809	Taxicab drivers and chauffeurs	5: Black	213	48,374	94.95	4.35	0.72	4.35±0.72
809	Taxicab drivers and chauffeurs	6: Other	60	17,779	100.00
809	Taxicab drivers and chauffeurs	7: Hispanic	77	21,138	96.23	4.35	0.54	4.35±0.54
809	Taxicab drivers and chauffeurs	8: NonHispanic	700	177,502	94.46	4.29	0.77	4.29±0.77
844	Operating engineers	1: Total	986	253,326	95.57	4.17	0.57	4.17±0.57
844	Operating engineers	2: Male	968	247,849	95.47	4.17	0.57	4.17±0.57
844	Operating engineers	3: Female	18	5,477	100.00
844	Operating engineers	4: White	870	225,841	95.43	4.04	0.59	4.04±0.59
844	Operating engineers	5: Black	89	20,881	95.72	5.66	2.20	5.66±2.20
844	Operating engineers	6: Other	27	6,605	100.00
844	Operating engineers	7: Hispanic	60	14,692	95.30	4.91	1.85	4.91±1.85
844	Operating engineers	8: NonHispanic	926	238,634	95.59	4.13	0.57	4.12±0.57
856	Industrial truck and tractor equipment operators	1: Total	1,816	450,241	93.13	4.58	0.43	4.58±0.43
856	Industrial truck and tractor equipment operators	2: Male	1,704	424,058	93.52	4.56	0.44	4.56±0.44
856	Industrial truck and tractor equipment operators	3: Female	112	26,183	86.81	4.73	1.14	4.73±1.14
856	Industrial truck and tractor equipment operators	4: White	1,404	355,429	92.90	4.49	0.45	4.49±0.45
856	Industrial truck and tractor equipment operators	5: Black	386	87,722	93.74	5.12	1.13	5.12±1.13
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	93.52	6.02	1.45	6.02±1.45
856	Industrial truck and tractor equipment operators	8: NonHispanic	1,616	400,064	93.08	4.41	0.43	4.41±0.43
859	Miscellaneous material moving equipment operators	1: Total	456	117,109	92.10	4.81	0.84	4.81±0.84
859	Miscellaneous material moving equipment operators	2: Male	377	98,087	91.78	4.64	0.81	4.64±0.81
859	Miscellaneous material moving equipment operators	3: Female	79	19,023	93.74	5.94	2.43	5.94±2.43
859	Miscellaneous material moving equipment operators	4: White	372	96,955	91.60	5.25	0.86	5.25±0.86
859	Miscellaneous material moving equipment operators	5: Black	72	16,993	96.55	2.05	0.40	2.05±0.40
859	Miscellaneous material moving equipment operators	6: Other	12	3,161	83.58	1.00	0.00	1.00±0.00
859	Miscellaneous material moving equipment operators	7: Hispanic	38	9,740	97.83	10.00	0.00	10.00±0.00
859	Miscellaneous material moving equipment operators	8: NonHispanic	418	107,369	91.58	4.69	0.85	4.69±0.85
869	Construction laborers	1: Total	2,707	697,191	94.55	5.10	0.43	5.10±0.43
869	Construction laborers	2: Male	2,625	676,315	94.65	5.20	0.45	5.20±0.45
869	Construction laborers	3: Female	82	20,877	91.22	3.15	0.59	3.15±0.59
869	Construction laborers	4: White	2,216	585,900	94.59	5.23	0.49	5.23±0.49
869	Construction laborers	5: Black	440	97,045	94.21	4.94	0.91	4.94±0.91
869	Construction laborers	6: Other	51	14,246	95.01	1.00	0.00	1.00±0.00
869	Construction laborers	7: Hispanic	427	111,458	97.01	5.20	1.24	5.20±1.24
869	Construction laborers	8: NonHispanic	2,280	585,733	94.08	5.09	0.44	5.09±0.44
877	Stock handlers and baggers	1: Total	2,534	650,044	94.46	3.92	0.36	3.92±0.36
877	Stock handlers and baggers	2: Male	1,724	449,704	94.59	4.13	0.47	4.13±0.47
877	Stock handlers and baggers	3: Female	810	200,340	94.17	3.46	0.49	3.46±0.49
877	Stock handlers and baggers	4: White	2,113	550,640	94.58	3.84	0.40	3.84±0.40
877	Stock handlers and baggers	5: Black	345	77,266	93.32	3.77	0.93	3.77±0.93
877	Stock handlers and baggers	6: Other	76	22,138	95.45	6.80	2.79	6.80±2.79
877	Stock handlers and baggers	7: Hispanic	257	66,614	94.02	4.79	1.55	4.79±1.55
877	Stock handlers and baggers	8: NonHispanic	2,277	583,430	94.51	3.81	0.38	3.81±0.38
883	Freight, stock, and material handlers, nec.	1: Total	2,235	571,810	93.46	3.85	0.35	3.85±0.35
883	Freight, stock, and material handlers, nec.	2: Male	1,967	508,323	93.26	3.77	0.37	3.77±0.37
883	Freight, stock, and material handlers, nec.	3: Female	268	63,486	95.13	4.69	1.23	4.69±1.23
883	Freight, stock, and material handlers, nec.	4: White	1,724	450,810	93.24	3.58	0.39	3.58±0.39
883	Freight, stock, and material handlers, nec.	5: Black	455	105,087	94.96	4.58	0.89	4.58±0.89
883	Freight, stock, and material handlers, nec.	6: Other	56	15,913	89.93	6.42	1.58	6.42±1.58
883	Freight, stock, and material handlers, nec.	7: Hispanic	194	50,866	93.33	5.11	1.12	5.11±1.12
883	Freight, stock, and material handlers, nec.	8: NonHispanic	2,041	520,944	93.48	3.72	0.37	3.72±0.37
885	Garage and service station related occs	1: Total	611	158,092	94.79	4.56	0.88	4.56±0.88
885	Garage and service station related occs	2: Male	571	147,764	94.83	4.39	0.89	4.39±0.89
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	94.56	4.42	0.93	4.42±0.93
885	Garage and service station related occs	5: Black	83	16,431	95.79	6.13	2.67	6.13±2.67
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	93.77	2.72	2.06	2.72±2.06
885	Garage and service station related occs	8: NonHispanic	546	139,673	94.92	4.86	0.92	4.86±0.92
887	Vehicle washers and equipment cleaners	1: Total	676	167,519	94.94	3.93	0.69	3.93±0.69
887	Vehicle washers and equipment cleaners	2: Male	590	147,892	95.13	3.34	0.67	3.34±0.67
887	Vehicle washers and equipment cleaners	3: Female	86	19,627	93.47	7.24	1.98	7.24±1.98
887	Vehicle washers and equipment cleaners	4: White	483	125,081	94.49	4.11	0.78	4.11±0.78
887	Vehicle washers and equipment cleaners	5: Black	176	38,325	95.85	3.14	1.24	3.14±1.24
887	Vehicle washers and equipment cleaners	6: Other	17	4,113	100.00
887	Vehicle washers and equipment cleaners	7: Hispanic	90	23,866	95.33	2.18	0.89	2.18±0.89
887	Vehicle washers and equipment cleaners	8: NonHispanic	586	143,653	94.87	4.20	0.77	4.20±0.77
888	Hand packers and packagers	1: Total	1,009	245,670	92.44	3.75	0.45	3.75±0.45
888	Hand packers and packagers	2: Male	349	87,741	93.75	3.50	0.61	3.50±0.61
888	Hand packers and packagers	3: Female	660	157,929	91.71	3.86	0.56	3.86±0.56
888	Hand packers and packagers	4: White	779	195,457	91.90	3.87	0.51	3.87±0.51
888	Hand packers and packagers	5: Black	185	38,411	96.68	2.50	1.05	2.50±1.05
888	Hand packers and packagers	6: Other	45	11,801	87.54	3.63	1.34	3.63±1.34
888	Hand packers and packagers	7: Hispanic	147	36,892	93.38	2.83	0.90	2.83±0.90
888	Hand packers and packagers	8: NonHispanic	862	208,778	92.27	3.89	0.52	3.89±0.52
889	Laborers, except construction	1: Total	5,004	1,250,422	93.09	4.10	0.20	4.10±0.20
889	Laborers, except construction	2: Male	3,858	981,803	93.88	3.94	0.25	3.94±0.25
889	Laborers, except construction	3: Female	1,146	268,620	90.22	4.46	0.42	4.46±0.42
889	Laborers, except construction	4: White	3,872	994,022	93.33	4.00	0.24	4.00±0.24
889	Laborers, except construction	5: Black	984	216,372	91.66	4.66	0.51	4.66±0.51
889	Laborers, except construction	6: Other	148	40,029	94.80	2.29	0.33	2.29±0.33
889	Laborers, except construction	7: Hispanic	543	138,228	93.65	3.99	0.67	3.99±0.67
889	Laborers, except construction	8: NonHispanic	4,461	1,112,194	93.02	4.11	0.22	4.11±0.22