Table 4. Average Number of Restricted Days (≥ 1) in the past 2 weeks by 206 Occupations
					Acute Disability
	Occupation 206 Classes	Group	Sample Size	Population Estimates	Estimated Prevalence of 0 restricted days in prior 2 weeks	Average # days among participants having at least 1 restricted day in prior 2 weeks	Standard Error of average # restricted days	X+SE
5	Administrators/officials, public administration	1: Total	1,737	434,916	90.95	3.44	0.35	3.44±0.35
5	Administrators/officials, public administration	2: Male	917	237,832	93.12	4.41	0.63	4.41±0.63
5	Administrators/officials, public administration	3: Female	820	197,084	88.33	2.75	0.28	2.75±0.28
5	Administrators/officials, public administration	4: White	1,490	377,045	90.64	3.54	0.40	3.54±0.40
5	Administrators/officials, public administration	5: Black	184	40,408	93.15	2.74	0.94	2.74±0.94
5	Administrators/officials, public administration	6: Other	63	17,464	92.54	2.18	0.36	2.18±0.36
5	Administrators/officials, public administration	7: Hispanic	75	19,368	86.47	4.78	1.76	4.78±1.76
5	Administrators/officials, public administration	8: NonHispanic	1,662	415,549	91.16	3.34	0.30	3.34±0.30
7	Financial managers	1: Total	2,050	516,489	92.90	3.89	0.34	3.89±0.34
7	Financial managers	2: Male	1,122	290,553	94.82	3.58	0.46	3.58±0.46
7	Financial managers	3: Female	928	225,936	90.42	4.11	0.45	4.11±0.45
7	Financial managers	4: White	1,866	470,184	92.67	3.98	0.36	3.98±0.36
7	Financial managers	5: Black	116	27,663	94.89	2.66	0.50	2.66±0.50
7	Financial managers	6: Other	68	18,642	95.69	2.54	0.57	2.54±0.57
7	Financial managers	7: Hispanic	93	23,398	90.80	6.63	1.72	6.63±1.72
7	Financial managers	8: NonHispanic	1,957	493,091	93.00	3.72	0.35	3.72±0.35
8	Personnel and labor relations managers	1: Total	569	145,879	92.00	3.47	0.78	3.47±0.78
8	Personnel and labor relations managers	2: Male	272	70,491	91.99	4.28	1.43	4.28±1.43
8	Personnel and labor relations managers	3: Female	297	75,389	92.00	2.71	0.57	2.71±0.57
8	Personnel and labor relations managers	4: White	514	133,270	92.06	3.63	0.85	3.63±0.85
8	Personnel and labor relations managers	5: Black	45	9,918	88.98	1.89	0.34	1.89±0.34
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	91.88	3.52	0.79	3.52±0.79
9	Purchasing managers	1: Total	479	122,582	89.33	4.50	0.65	4.50±0.65
9	Purchasing managers	2: Male	305	80,853	91.05	3.64	0.87	3.64±0.87
9	Purchasing managers	3: Female	174	41,729	86.00	5.56	1.11	5.56±1.11
9	Purchasing managers	4: White	424	108,587	88.78	4.72	0.66	4.72±0.66
9	Purchasing managers	5: Black	41	10,684	91.64	1.41	0.45	1.41±0.45
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	89.18	4.50	0.65	4.50±0.65
13	Managers/marketing/advertising/PR	1: Total	2,502	637,557	92.19	4.53	0.36	4.53±0.36
13	Managers/marketing/advertising/PR	2: Male	1,694	435,903	93.81	4.71	0.53	4.71±0.53
13	Managers/marketing/advertising/PR	3: Female	808	201,654	88.70	4.31	0.52	4.31±0.52
13	Managers/marketing/advertising/PR	4: White	2,358	598,994	92.04	4.54	0.36	4.54±0.36
13	Managers/marketing/advertising/PR	5: Black	95	24,634	92.64	4.60	1.57	4.60±1.57
13	Managers/marketing/advertising/PR	6: Other	49	13,929	97.77	2.00	0.00	2.00±0.00
13	Managers/marketing/advertising/PR	7: Hispanic	90	24,947	95.53	2.36	0.33	2.36±0.33
13	Managers/marketing/advertising/PR	8: NonHispanic	2,412	612,611	92.06	4.58	0.36	4.58±0.36
14	Administrators, education and related fields	1: Total	2,131	532,733	90.84	3.85	0.30	3.85±0.30
14	Administrators, education and related fields	2: Male	980	250,290	92.41	3.98	0.50	3.98±0.50
14	Administrators, education and related fields	3: Female	1,151	282,442	89.44	3.77	0.39	3.77±0.39
14	Administrators, education and related fields	4: White	1,832	463,963	90.60	3.84	0.32	3.84±0.32
14	Administrators, education and related fields	5: Black	261	58,624	91.47	4.05	0.73	4.05±0.73
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	87.11	5.26	1.73	5.26±1.73
14	Administrators, education and related fields	8: NonHispanic	2,049	512,610	90.98	3.77	0.30	3.77±0.30
15	Managers, medicine and health	1: Total	1,009	257,406	91.33	3.99	0.52	3.99±0.52
15	Managers, medicine and health	2: Male	309	80,541	94.17	2.17	0.38	2.17±0.38
15	Managers, medicine and health	3: Female	700	176,865	90.03	4.47	0.64	4.47±0.64
15	Managers, medicine and health	4: White	870	225,557	91.35	4.05	0.57	4.05±0.57
15	Managers, medicine and health	5: Black	110	24,524	91.06	3.47	0.93	3.47±0.93
15	Managers, medicine and health	6: Other	29	7,325	91.59	4.00	0.00	4.00±0.00
15	Managers, medicine and health	7: Hispanic	43	11,755	84.36	6.92	2.80	6.92±2.80
15	Managers, medicine and health	8: NonHispanic	966	245,651	91.66	3.72	0.46	3.72±0.46
18	Managers, properties and real estate	1: Total	1,655	424,823	91.43	5.28	0.51	5.28±0.51
18	Managers, properties and real estate	2: Male	881	228,170	92.28	5.34	0.63	5.34±0.63
18	Managers, properties and real estate	3: Female	774	196,652	90.43	5.22	0.60	5.22±0.60
18	Managers, properties and real estate	4: White	1,482	384,861	91.24	5.15	0.50	5.15±0.50
18	Managers, properties and real estate	5: Black	135	29,675	95.10	4.32	1.14	4.32±1.14
18	Managers, properties and real estate	6: Other	38	10,286	87.98	10.04	2.32	10.04±2.32
18	Managers, properties and real estate	7: Hispanic	97	24,180	93.51	4.59	1.58	4.59±1.58
18	Managers, properties and real estate	8: NonHispanic	1,558	400,643	91.30	5.31	0.53	5.31±0.53
22	Managers and administrators	1: Total	33,553	8,609,388	92.77	4.49	0.10	4.49±0.10
22	Managers and administrators	2: Male	22,108	5,760,962	94.03	4.52	0.13	4.52±0.13
22	Managers and administrators	3: Female	11,445	2,848,426	90.22	4.47	0.14	4.47±0.14
22	Managers and administrators	4: White	30,560	7,891,127	92.76	4.44	0.10	4.44±0.10
22	Managers and administrators	5: Black	1,917	437,418	92.58	5.52	0.45	5.52±0.45
22	Managers and administrators	6: Other	1,076	280,842	93.51	4.39	0.55	4.39±0.55
22	Managers and administrators	7: Hispanic	1,622	424,777	92.69	4.36	0.44	4.36±0.44
22	Managers and administrators	8: NonHispanic	31,931	8,184,610	92.78	4.50	0.10	4.50±0.10
23	Accountants and auditors	1: Total	5,647	1,449,425	91.54	3.74	0.17	3.74±0.17
23	Accountants and auditors	2: Male	2,633	700,754	94.33	3.25	0.25	3.25±0.25
23	Accountants and auditors	3: Female	3,014	748,671	88.93	3.98	0.21	3.98±0.21
23	Accountants and auditors	4: White	4,865	1,258,209	91.62	3.68	0.18	3.68±0.18
23	Accountants and auditors	5: Black	466	106,603	90.21	4.32	0.60	4.32±0.60
23	Accountants and auditors	6: Other	316	84,613	92.11	3.81	0.52	3.81±0.52
23	Accountants and auditors	7: Hispanic	269	69,340	91.47	4.56	0.88	4.56±0.88
23	Accountants and auditors	8: NonHispanic	5,378	1,380,086	91.55	3.70	0.17	3.70±0.17
25	Other financial officers	1: Total	2,856	727,887	91.85	3.74	0.26	3.74±0.26
25	Other financial officers	2: Male	1,436	375,925	93.53	3.38	0.39	3.38±0.39
25	Other financial officers	3: Female	1,420	351,962	90.07	3.99	0.33	3.99±0.33
25	Other financial officers	4: White	2,558	655,800	91.43	3.72	0.27	3.72±0.27
25	Other financial officers	5: Black	191	44,236	95.21	5.13	2.14	5.13±2.14
25	Other financial officers	6: Other	107	27,850	96.42	1.79	0.22	1.79±0.22
25	Other financial officers	7: Hispanic	152	41,048	92.52	3.94	1.33	3.94±1.33
25	Other financial officers	8: NonHispanic	2,704	686,838	91.81	3.73	0.27	3.73±0.27
26	Management analysts	1: Total	823	207,706	89.93	3.54	0.44	3.54±0.44
26	Management analysts	2: Male	530	137,577	91.55	3.25	0.48	3.25±0.48
26	Management analysts	3: Female	293	70,129	86.73	3.90	0.70	3.90±0.70
26	Management analysts	4: White	749	190,942	90.11	3.51	0.46	3.51±0.46
26	Management analysts	5: Black	48	9,673	89.42	6.10	2.43	6.10±2.43
26	Management analysts	6: Other	26	7,090	85.78	1.43	0.30	1.43±0.30
26	Management analysts	7: Hispanic	26	6,690	91.73	1.44	0.35	1.44±0.35
26	Management analysts	8: NonHispanic	797	201,016	89.87	3.60	0.45	3.60±0.45
27	Personnel/training/labor relations specialists	1: Total	1,707	429,136	91.67	4.44	0.44	4.44±0.44
27	Personnel/training/labor relations specialists	2: Male	714	184,738	93.55	3.22	0.49	3.22±0.49
27	Personnel/training/labor relations specialists	3: Female	993	244,398	90.26	5.05	0.58	5.05±0.58
27	Personnel/training/labor relations specialists	4: White	1,448	368,799	91.58	4.53	0.50	4.53±0.50
27	Personnel/training/labor relations specialists	5: Black	219	50,123	92.75	4.00	0.70	4.00±0.70
27	Personnel/training/labor relations specialists	6: Other	40	10,214	89.73	3.23	1.65	3.23±1.65
27	Personnel/training/labor relations specialists	7: Hispanic	89	23,144	87.96	2.23	0.39	2.23±0.39
27	Personnel/training/labor relations specialists	8: NonHispanic	1,618	405,992	91.88	4.63	0.47	4.63±0.47
29	Buyers, wholesale/retail trade except farm products	1: Total	736	191,990	90.60	4.98	0.78	4.98±0.78
29	Buyers, wholesale/retail trade except farm products	2: Male	323	84,773	93.16	6.39	1.46	6.39±1.46
29	Buyers, wholesale/retail trade except farm products	3: Female	413	107,217	88.57	4.31	0.96	4.31±0.96
29	Buyers, wholesale/retail trade except farm products	4: White	698	182,261	90.16	5.00	0.78	5.00±0.78
29	Buyers, wholesale/retail trade except farm products	5: Black	24	5,199	97.84	2.00	0.00	2.00±0.00
29	Buyers, wholesale/retail trade except farm products	6: Other	14	4,530	100.00
29	Buyers, wholesale/retail trade except farm products	7: Hispanic	42	11,166	94.31	4.87	2.01	4.87±2.01
29	Buyers, wholesale/retail trade except farm products	8: NonHispanic	694	180,824	90.37	4.98	0.80	4.98±0.80
33	Purchasing agents and buyers	1: Total	1,007	260,021	91.88	4.54	0.54	4.54±0.54
33	Purchasing agents and buyers	2: Male	523	135,805	91.09	4.54	0.75	4.54±0.75
33	Purchasing agents and buyers	3: Female	484	124,216	92.76	4.55	0.79	4.55±0.79
33	Purchasing agents and buyers	4: White	920	240,255	91.50	4.58	0.56	4.58±0.56
33	Purchasing agents and buyers	5: Black	73	16,511	95.86	3.58	0.98	3.58±0.98
33	Purchasing agents and buyers	6: Other	14	3,255	100.00
33	Purchasing agents and buyers	7: Hispanic	41	11,359	97.15	3.04	0.92	3.04±0.92
33	Purchasing agents and buyers	8: NonHispanic	966	248,662	91.64	4.57	0.55	4.57±0.55
36	Inspectors/compliance officers, except construction	1: Total	713	183,364	89.99	3.94	0.43	3.94±0.43
36	Inspectors/compliance officers, except construction	2: Male	487	126,705	90.33	3.56	0.48	3.56±0.48
36	Inspectors/compliance officers, except construction	3: Female	226	56,659	89.23	4.71	0.95	4.71±0.95
36	Inspectors/compliance officers, except construction	4: White	595	155,299	90.00	3.76	0.48	3.76±0.48
36	Inspectors/compliance officers, except construction	5: Black	99	22,404	88.54	5.34	1.14	5.34±1.14
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	3.76	2.20	3.76±2.20
36	Inspectors/compliance officers, except construction	8: NonHispanic	668	171,090	89.94	3.96	0.44	3.96±0.44
37	Management related occs	1: Total	1,476	371,203	89.97	4.37	0.44	4.37±0.44
37	Management related occs	2: Male	216	57,908	90.58	5.33	1.11	5.33±1.11
37	Management related occs	3: Female	1,260	313,295	89.86	4.21	0.47	4.21±0.47
37	Management related occs	4: White	1,244	319,117	89.74	4.29	0.47	4.29±0.47
37	Management related occs	5: Black	171	36,745	90.37	5.20	1.02	5.20±1.02
37	Management related occs	6: Other	61	15,341	93.92	4.10	1.37	4.10±1.37
37	Management related occs	7: Hispanic	84	21,261	85.21	5.88	1.86	5.88±1.86
37	Management related occs	8: NonHispanic	1,392	349,942	90.26	4.23	0.43	4.23±0.43
43	Architects	1: Total	680	176,710	90.71	4.37	0.58	4.37±0.58
43	Architects	2: Male	587	153,567	91.85	4.83	0.71	4.83±0.71
43	Architects	3: Female	93	23,143	83.17	2.90	0.63	2.90±0.63
43	Architects	4: White	623	162,108	91.29	4.39	0.61	4.39±0.61
43	Architects	5: Black	24	6,366	92.62	10.03	3.90	10.03±3.90
43	Architects	6: Other	33	8,236	77.89	2.78	0.71	2.78±0.71
43	Architects	7: Hispanic	50	12,774	94.90	2.82	1.03	2.82±1.03
43	Architects	8: NonHispanic	630	163,936	90.38	4.44	0.60	4.44±0.60
44	Aerospace	1: Total	452	115,384	89.89	3.70	0.59	3.70±0.59
44	Aerospace	2: Male	425	108,773	90.17	3.34	0.52	3.34±0.52
44	Aerospace	3: Female	27	6,612	85.39	7.75	3.99	7.75±3.99
44	Aerospace	4: White	408	104,395	90.31	3.57	0.58	3.57±0.58
44	Aerospace	5: Black	11	2,570	76.23	7.23	4.59	7.23±4.59
44	Aerospace	6: Other	33	8,418	88.91	2.79	1.40	2.79±1.40
44	Aerospace	7: Hispanic	13	3,735	81.78	5.77	0.77	5.77±0.77
44	Aerospace	8: NonHispanic	439	111,649	90.17	3.57	0.61	3.57±0.61
53	Civil	1: Total	1,015	264,614	93.39	3.78	0.52	3.78±0.52
53	Civil	2: Male	952	248,854	93.96	3.69	0.55	3.69±0.55
53	Civil	3: Female	63	15,759	84.43	4.30	1.45	4.30±1.45
53	Civil	4: White	897	233,004	93.52	3.72	0.57	3.72±0.57
53	Civil	5: Black	43	11,165	95.26	5.70	3.91	5.70±3.91
53	Civil	6: Other	75	20,444	90.95	3.68	0.97	3.68±0.97
53	Civil	7: Hispanic	48	13,090	98.03	10.00	0.00	10.00±0.00
53	Civil	8: NonHispanic	967	251,524	93.15	3.68	0.52	3.68±0.52
55	Electrical and electronic	1: Total	2,274	592,715	93.13	3.57	0.30	3.57±0.30
55	Electrical and electronic	2: Male	2,075	543,197	93.69	3.51	0.33	3.51±0.33
55	Electrical and electronic	3: Female	199	49,518	87.03	3.88	0.79	3.88±0.79
55	Electrical and electronic	4: White	1,989	518,640	92.77	3.48	0.32	3.48±0.32
55	Electrical and electronic	5: Black	109	28,944	94.55	7.43	1.53	7.43±1.53
55	Electrical and electronic	6: Other	176	45,131	96.43	2.00	0.44	2.00±0.44
55	Electrical and electronic	7: Hispanic	82	20,764	92.35	3.65	1.79	3.65±1.79
55	Electrical and electronic	8: NonHispanic	2,192	571,951	93.16	3.57	0.30	3.57±0.30
56	Industrial	1: Total	920	234,775	92.83	3.73	0.47	3.73±0.47
56	Industrial	2: Male	781	200,847	93.68	4.00	0.61	4.00±0.61
56	Industrial	3: Female	139	33,928	87.80	2.91	0.57	2.91±0.57
56	Industrial	4: White	824	210,888	92.84	3.52	0.50	3.52±0.50
56	Industrial	5: Black	52	11,813	89.16	6.40	0.84	6.40±0.84
56	Industrial	6: Other	44	12,074	96.27	3.23	1.75	3.23±1.75
56	Industrial	7: Hispanic	26	7,319	100.00
56	Industrial	8: NonHispanic	894	227,456	92.60	3.73	0.47	3.73±0.47
57	Mechanical	1: Total	1,255	330,773	94.03	4.83	0.51	4.83±0.51
57	Mechanical	2: Male	1,196	315,885	93.98	4.96	0.52	4.96±0.52
57	Mechanical	3: Female	59	14,888	95.25	1.29	0.25	1.29±0.25
57	Mechanical	4: White	1,121	293,040	93.92	4.65	0.49	4.65±0.49
57	Mechanical	5: Black	51	15,201	92.95	7.55	2.86	7.55±2.86
57	Mechanical	6: Other	83	22,532	96.18	5.04	2.68	5.04±2.68
57	Mechanical	7: Hispanic	35	9,655	91.87	7.49	3.56	7.49±3.56
57	Mechanical	8: NonHispanic	1,220	321,118	94.10	4.72	0.49	4.72±0.49
59	Engineers	1: Total	1,081	285,379	93.58	3.45	0.55	3.45±0.55
59	Engineers	2: Male	987	262,140	93.54	3.52	0.59	3.52±0.59
59	Engineers	3: Female	94	23,239	94.09	2.64	0.95	2.64±0.95
59	Engineers	4: White	956	254,567	93.68	3.22	0.53	3.22±0.53
59	Engineers	5: Black	38	9,368	90.18	10.09	0.03	10.09±0.03
59	Engineers	6: Other	87	21,444	93.92	1.61	0.22	1.61±0.22
59	Engineers	7: Hispanic	41	10,556	92.92	3.13	1.69	3.13±1.69
59	Engineers	8: NonHispanic	1,040	274,823	93.61	3.47	0.56	3.47±0.56
64	Computer systems analysts and scientists	1: Total	2,168	564,743	89.41	3.53	0.27	3.53±0.27
64	Computer systems analysts and scientists	2: Male	1,493	393,336	91.13	3.45	0.36	3.45±0.36
64	Computer systems analysts and scientists	3: Female	675	171,407	85.47	3.65	0.35	3.65±0.35
64	Computer systems analysts and scientists	4: White	1,852	484,823	89.86	3.48	0.31	3.48±0.31
64	Computer systems analysts and scientists	5: Black	161	39,421	84.82	2.78	0.54	2.78±0.54
64	Computer systems analysts and scientists	6: Other	155	40,500	88.47	5.06	1.13	5.06±1.13
64	Computer systems analysts and scientists	7: Hispanic	64	17,252	86.35	4.05	1.26	4.05±1.26
64	Computer systems analysts and scientists	8: NonHispanic	2,104	547,491	89.51	3.51	0.27	3.51±0.27
65	Operations/systems researchers and analysts	1: Total	1,082	279,844	90.59	3.08	0.32	3.08±0.32
65	Operations/systems researchers and analysts	2: Male	610	163,791	92.15	3.15	0.42	3.15±0.42
65	Operations/systems researchers and analysts	3: Female	472	116,053	88.40	3.02	0.43	3.02±0.43
65	Operations/systems researchers and analysts	4: White	930	241,287	90.47	2.92	0.31	2.92±0.31
65	Operations/systems researchers and analysts	5: Black	99	25,216	89.41	4.69	1.10	4.69±1.10
65	Operations/systems researchers and analysts	6: Other	53	13,341	95.00	2.51	1.29	2.51±1.29
65	Operations/systems researchers and analysts	7: Hispanic	46	11,394	86.67	2.38	0.76	2.38±0.76
65	Operations/systems researchers and analysts	8: NonHispanic	1,036	268,451	90.76	3.13	0.33	3.13±0.33
73	Chemists, except biochemists	1: Total	476	124,271	92.66	3.82	0.54	3.82±0.54
73	Chemists, except biochemists	2: Male	360	95,013	92.85	4.36	0.69	4.36±0.69
73	Chemists, except biochemists	3: Female	116	29,258	92.04	2.24	0.46	2.24±0.46
73	Chemists, except biochemists	4: White	392	102,713	91.81	3.88	0.58	3.88±0.58
73	Chemists, except biochemists	5: Black	31	7,721	100.00
73	Chemists, except biochemists	6: Other	53	13,837	94.87	3.15	1.40	3.15±1.40
73	Chemists, except biochemists	7: Hispanic	18	4,617	87.92	2.36	0.91	2.36±0.91
73	Chemists, except biochemists	8: NonHispanic	458	119,654	92.84	3.92	0.57	3.92±0.57
84	Physicians	1: Total	2,193	564,555	94.42	4.11	0.37	4.11±0.37
84	Physicians	2: Male	1,713	444,900	95.50	4.32	0.56	4.32±0.56
84	Physicians	3: Female	480	119,655	90.44	3.75	0.61	3.75±0.61
84	Physicians	4: White	1,863	478,408	94.00	4.13	0.39	4.13±0.39
84	Physicians	5: Black	97	24,627	96.10	2.21	0.93	2.21±0.93
84	Physicians	6: Other	233	61,520	97.05	4.80	1.85	4.80±1.85
84	Physicians	7: Hispanic	124	34,042	90.13	4.38	1.19	4.38±1.19
84	Physicians	8: NonHispanic	2,069	530,513	94.70	4.08	0.40	4.08±0.40
85	Dentists	1: Total	557	139,120	96.89	4.01	1.18	4.01±1.18
85	Dentists	2: Male	484	121,213	97.07	4.50	1.42	4.50±1.42
85	Dentists	3: Female	73	17,908	95.71	1.72	0.25	1.72±0.25
85	Dentists	4: White	505	126,000	97.01	3.44	1.03	3.44±1.03
85	Dentists	5: Black	16	4,094	86.44	7.85	4.24	7.85±4.24
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	96.81	4.01	1.18	4.01±1.18
95	Registered nurses	1: Total	7,300	1,799,165	89.25	4.36	0.17	4.36±0.17
95	Registered nurses	2: Male	362	92,522	87.91	4.87	0.78	4.87±0.78
95	Registered nurses	3: Female	6,938	1,706,643	89.33	4.33	0.17	4.33±0.17
95	Registered nurses	4: White	6,131	1,537,400	89.32	4.28	0.18	4.28±0.18
95	Registered nurses	5: Black	815	172,626	87.64	5.19	0.51	5.19±0.51
95	Registered nurses	6: Other	354	89,139	91.21	3.80	0.59	3.80±0.59
95	Registered nurses	7: Hispanic	229	57,372	91.92	3.44	0.83	3.44±0.83
95	Registered nurses	8: NonHispanic	7,071	1,741,793	89.17	4.38	0.17	4.38±0.17
96	Pharmacists	1: Total	640	164,795	93.02	3.72	0.60	3.72±0.60
96	Pharmacists	2: Male	374	96,449	93.01	3.95	0.82	3.95±0.82
96	Pharmacists	3: Female	266	68,346	93.04	3.39	0.86	3.39±0.86
96	Pharmacists	4: White	578	148,253	92.80	3.87	0.62	3.87±0.62
96	Pharmacists	5: Black	18	4,373	94.83	2.43	0.35	2.43±0.35
96	Pharmacists	6: Other	44	12,169	95.07	1.47	0.51	1.47±0.51
96	Pharmacists	7: Hispanic	21	5,287	96.00	1.00	0.00	1.00±0.00
96	Pharmacists	8: NonHispanic	619	159,508	92.92	3.77	0.61	3.77±0.61
97	Dietitians	1: Total	426	105,770	91.49	4.35	0.67	4.35±0.67
97	Dietitians	2: Male	50	13,150	88.96	5.38	2.71	5.38±2.71
97	Dietitians	3: Female	376	92,621	91.85	4.15	0.57	4.15±0.57
97	Dietitians	4: White	293	76,547	91.02	3.90	0.69	3.90±0.69
97	Dietitians	5: Black	109	22,571	90.56	5.82	1.88	5.82±1.88
97	Dietitians	6: Other	24	6,653	100.00
97	Dietitians	7: Hispanic	24	7,683	84.72	5.57	0.48	5.57±0.48
97	Dietitians	8: NonHispanic	402	98,087	92.02	4.17	0.77	4.17±0.77
154	Postsecondary teachers, subject unspecified	1: Total	887	225,123	91.33	3.79	0.39	3.79±0.39
154	Postsecondary teachers, subject unspecified	2: Male	493	128,234	93.90	4.45	0.61	4.45±0.61
154	Postsecondary teachers, subject unspecified	3: Female	394	96,889	87.93	3.35	0.45	3.35±0.45
154	Postsecondary teachers, subject unspecified	4: White	699	177,407	90.63	3.86	0.42	3.86±0.42
154	Postsecondary teachers, subject unspecified	5: Black	66	15,509	93.61	2.57	0.72	2.57±0.72
154	Postsecondary teachers, subject unspecified	6: Other	122	32,207	94.09	3.82	1.51	3.82±1.51
154	Postsecondary teachers, subject unspecified	7: Hispanic	24	8,057	97.52	5.00	0.00	5.00±0.00
154	Postsecondary teachers, subject unspecified	8: NonHispanic	863	217,066	91.10	3.78	0.39	3.78±0.39
155	Teachers, pre-K and K	1: Total	1,650	408,944	89.24	3.65	0.35	3.65±0.35
155	Teachers, pre-K and K	2: Male	23	6,290	93.04	2.48	1.06	2.48±1.06
155	Teachers, pre-K and K	3: Female	1,627	402,653	89.18	3.67	0.35	3.67±0.35
155	Teachers, pre-K and K	4: White	1,348	344,094	89.21	3.79	0.39	3.79±0.39
155	Teachers, pre-K and K	5: Black	257	52,578	89.84	3.01	0.56	3.01±0.56
155	Teachers, pre-K and K	6: Other	45	12,272	87.66	2.68	0.34	2.68±0.34
155	Teachers, pre-K and K	7: Hispanic	99	25,558	88.88	6.83	2.54	6.83±2.54
155	Teachers, pre-K and K	8: NonHispanic	1,551	383,386	89.27	3.44	0.26	3.44±0.26
156	Teachers, elementary school	1: Total	6,236	1,524,602	90.29	4.07	0.17	4.07±0.17
156	Teachers, elementary school	2: Male	954	240,550	90.41	4.09	0.45	4.09±0.45
156	Teachers, elementary school	3: Female	5,282	1,284,053	90.26	4.07	0.18	4.07±0.18
156	Teachers, elementary school	4: White	5,452	1,361,322	90.29	3.88	0.17	3.88±0.17
156	Teachers, elementary school	5: Black	698	140,683	90.88	5.48	0.64	5.48±0.64
156	Teachers, elementary school	6: Other	86	22,597	86.25	6.58	1.43	6.58±1.43
156	Teachers, elementary school	7: Hispanic	248	63,217	88.42	4.36	0.83	4.36±0.83
156	Teachers, elementary school	8: NonHispanic	5,988	1,461,386	90.37	4.06	0.18	4.06±0.18
157	Teachers, secondary school	1: Total	4,792	1,207,921	91.06	3.72	0.19	3.72±0.19
157	Teachers, secondary school	2: Male	2,040	528,711	93.38	3.60	0.35	3.60±0.35
157	Teachers, secondary school	3: Female	2,752	679,210	89.26	3.78	0.22	3.78±0.22
157	Teachers, secondary school	4: White	4,275	1,096,317	91.01	3.64	0.19	3.64±0.19
157	Teachers, secondary school	5: Black	455	93,839	92.46	4.98	0.87	4.98±0.87
157	Teachers, secondary school	6: Other	62	17,764	87.20	3.16	0.57	3.16±0.57
157	Teachers, secondary school	7: Hispanic	173	46,830	89.66	2.71	0.65	2.71±0.65
157	Teachers, secondary school	8: NonHispanic	4,619	1,161,090	91.12	3.77	0.19	3.77±0.19
158	Teachers, special education	1: Total	1,017	252,519	88.86	3.99	0.40	3.99±0.40
158	Teachers, special education	2: Male	160	42,514	88.21	3.71	0.96	3.71±0.96
158	Teachers, special education	3: Female	857	210,005	88.99	4.05	0.43	4.05±0.43
158	Teachers, special education	4: White	878	219,377	89.30	3.90	0.44	3.90±0.44
158	Teachers, special education	5: Black	125	29,254	85.60	4.48	1.06	4.48±1.06
158	Teachers, special education	6: Other	14	3,887	88.11	3.97	0.82	3.97±0.82
158	Teachers, special education	7: Hispanic	36	9,380	84.38	5.11	1.87	5.11±1.87
158	Teachers, special education	8: NonHispanic	981	243,139	89.03	3.93	0.39	3.93±0.39
159	Teachers	1: Total	2,162	545,219	90.34	4.10	0.28	4.10±0.28
159	Teachers	2: Male	794	207,073	91.08	3.88	0.46	3.88±0.46
159	Teachers	3: Female	1,368	338,146	89.89	4.21	0.36	4.21±0.36
159	Teachers	4: White	1,919	489,427	90.04	3.99	0.29	3.99±0.29
159	Teachers	5: Black	182	39,796	91.36	4.65	1.14	4.64±1.14
159	Teachers	6: Other	61	15,996	97.12	10.88	2.45	10.88±2.45
159	Teachers	7: Hispanic	89	22,091	92.21	6.24	2.08	6.24±2.08
159	Teachers	8: NonHispanic	2,073	523,129	90.26	4.02	0.29	4.02±0.29
163	Counselors, Educational and Vocational	1: Total	1,026	262,756	90.65	3.27	0.35	3.27±0.35
163	Counselors, Educational and Vocational	2: Male	349	92,738	92.32	2.54	0.53	2.54±0.53
163	Counselors, Educational and Vocational	3: Female	677	170,018	89.74	3.57	0.45	3.57±0.45
163	Counselors, Educational and Vocational	4: White	818	211,544	90.58	3.19	0.39	3.19±0.39
163	Counselors, Educational and Vocational	5: Black	175	40,618	92.58	3.85	1.40	3.85±1.40
163	Counselors, Educational and Vocational	6: Other	33	10,594	84.62	3.14	1.17	3.14±1.17
163	Counselors, Educational and Vocational	7: Hispanic	48	11,557	83.63	5.37	1.88	5.37±1.88
163	Counselors, Educational and Vocational	8: NonHispanic	978	251,198	90.97	3.10	0.33	3.10±0.33
164	Librarians	1: Total	737	185,788	89.93	4.86	0.64	4.86±0.64
164	Librarians	2: Male	104	27,565	94.24	3.25	1.60	3.25±1.60
164	Librarians	3: Female	633	158,222	89.18	5.01	0.69	5.01±0.69
164	Librarians	4: White	659	167,087	89.51	4.94	0.69	4.94±0.69
164	Librarians	5: Black	50	10,377	92.90	4.66	0.37	4.66±0.37
164	Librarians	6: Other	28	8,323	94.74	2.01	0.71	2.01±0.71
164	Librarians	7: Hispanic	24	6,860	96.87	3.00	0.00	3.00±0.00
164	Librarians	8: NonHispanic	713	178,927	89.67	4.88	0.65	4.88±0.65
166	Economists	1: Total	635	166,170	90.00	3.86	0.51	3.86±0.51
166	Economists	2: Male	364	97,324	92.95	4.18	0.77	4.18±0.77
166	Economists	3: Female	271	68,846	85.83	3.64	0.57	3.64±0.56
166	Economists	4: White	574	150,931	89.69	3.65	0.53	3.65±0.53
166	Economists	5: Black	38	8,685	93.25	8.46	3.71	8.46±3.71
166	Economists	6: Other	23	6,553	92.79	5.17	3.17	5.17±3.17
166	Economists	7: Hispanic	30	7,949	81.95	3.36	1.06	3.36±1.06
166	Economists	8: NonHispanic	605	158,220	90.41	3.91	0.53	3.91±0.53
167	Psychologists	1: Total	754	190,497	89.51	3.97	0.50	3.97±0.50
167	Psychologists	2: Male	320	82,506	90.11	2.83	0.47	2.83±0.47
167	Psychologists	3: Female	434	107,991	89.05	4.76	0.68	4.76±0.68
167	Psychologists	4: White	686	174,659	89.35	3.93	0.50	3.93±0.50
167	Psychologists	5: Black	56	12,367	94.78	7.74	0.89	7.74±0.89
167	Psychologists	6: Other	12	3,472	78.57	1.71	0.25	1.71±0.25
167	Psychologists	7: Hispanic	38	9,612	88.00	2.91	0.55	2.91±0.55
167	Psychologists	8: NonHispanic	716	180,885	89.59	4.04	0.52	4.04±0.52
174	Social workers	1: Total	2,351	569,851	87.20	4.39	0.28	4.39±0.28
174	Social workers	2: Male	695	176,079	90.35	4.26	0.60	4.26±0.60
174	Social workers	3: Female	1,656	393,771	85.78	4.43	0.31	4.43±0.31
174	Social workers	4: White	1,765	441,564	87.36	4.05	0.31	4.05±0.31
174	Social workers	5: Black	532	114,755	85.88	5.71	0.58	5.71±0.58
174	Social workers	6: Other	54	13,531	92.85	2.16	0.60	2.15±0.60
174	Social workers	7: Hispanic	147	35,804	87.66	4.57	1.06	4.57±1.06
174	Social workers	8: NonHispanic	2,204	534,047	87.16	4.38	0.29	4.38±0.29
176	Clergy	1: Total	1,345	330,405	91.88	3.98	0.49	3.98±0.49
176	Clergy	2: Male	1,223	303,305	92.27	4.17	0.54	4.17±0.54
176	Clergy	3: Female	122	27,099	87.50	2.69	0.55	2.69±0.55
176	Clergy	4: White	1,157	286,145	91.92	3.99	0.53	3.99±0.53
176	Clergy	5: Black	155	35,690	91.75	4.72	1.26	4.72±1.26
176	Clergy	6: Other	33	8,570	90.95	1.00	0.00	1.00±0.00
176	Clergy	7: Hispanic	37	10,323	91.08	2.11	0.89	2.11±0.89
176	Clergy	8: NonHispanic	1,308	320,081	91.91	4.05	0.50	4.05±0.50
178	Lawyers	1: Total	2,854	747,311	93.20	4.54	0.34	4.54±0.34
178	Lawyers	2: Male	2,147	568,786	94.07	4.80	0.44	4.80±0.44
178	Lawyers	3: Female	707	178,525	90.42	4.02	0.48	4.02±0.48
178	Lawyers	4: White	2,673	700,998	93.11	4.53	0.37	4.53±0.37
178	Lawyers	5: Black	131	32,972	94.81	3.25	1.56	3.25±1.56
178	Lawyers	6: Other	50	13,340	93.67	7.65	3.98	7.65±3.98
178	Lawyers	7: Hispanic	92	24,022	91.75	2.12	0.25	2.12±0.25
178	Lawyers	8: NonHispanic	2,762	723,289	93.25	4.64	0.34	4.64±0.34
185	Designers	1: Total	2,037	526,843	89.49	3.98	0.26	3.98±0.26
185	Designers	2: Male	853	225,588	89.26	4.25	0.45	4.25±0.45
185	Designers	3: Female	1,184	301,255	89.66	3.77	0.33	3.77±0.33
185	Designers	4: White	1,874	485,631	89.55	4.17	0.28	4.17±0.28
185	Designers	5: Black	78	18,362	85.15	2.05	0.44	2.05±0.44
185	Designers	6: Other	85	22,851	91.65	1.58	0.25	1.58±0.25
185	Designers	7: Hispanic	123	31,508	90.30	6.45	1.61	6.45±1.61
185	Designers	8: NonHispanic	1,914	495,335	89.44	3.84	0.25	3.84±0.25
186	Musicians and composers	1: Total	647	171,362	91.06	5.41	0.54	5.41±0.54
186	Musicians and composers	2: Male	394	106,537	92.06	4.83	0.67	4.83±0.67
186	Musicians and composers	3: Female	253	64,825	89.43	6.13	0.97	6.13±0.97
186	Musicians and composers	4: White	561	149,422	91.10	5.25	0.56	5.25±0.56
186	Musicians and composers	5: Black	65	16,035	91.65	8.52	2.68	8.52±2.68
186	Musicians and composers	6: Other	21	5,906	88.63	2.33	0.73	2.33±0.73
186	Musicians and composers	7: Hispanic	43	10,895	91.93	2.76	0.38	2.76±0.38
186	Musicians and composers	8: NonHispanic	604	160,467	91.01	5.57	0.55	5.57±0.55
187	Actors and directors	1: Total	397	103,368	89.34	3.41	0.61	3.41±0.61
187	Actors and directors	2: Male	242	64,217	89.11	3.08	0.68	3.08±0.68
187	Actors and directors	3: Female	155	39,152	89.73	3.98	1.09	3.98±1.09
187	Actors and directors	4: White	367	94,457	89.39	3.49	0.64	3.49±0.64
187	Actors and directors	5: Black	18	6,067	83.64	2.55	0.48	2.55±0.48
187	Actors and directors	6: Other	12	2,844	100.00
187	Actors and directors	7: Hispanic	22	5,345	82.44	5.70	2.62	5.70±2.62
187	Actors and directors	8: NonHispanic	375	98,023	89.72	3.19	0.60	3.19±0.60
188	Painters/sculptors/craft-artists/artist printmakers	1: Total	928	243,308	91.02	4.50	0.46	4.50±0.46
188	Painters/sculptors/craft-artists/artist printmakers	2: Male	451	120,720	92.28	4.16	0.80	4.16±0.80
188	Painters/sculptors/craft-artists/artist printmakers	3: Female	477	122,587	89.77	4.76	0.55	4.76±0.55
188	Painters/sculptors/craft-artists/artist printmakers	4: White	853	223,410	90.78	4.62	0.48	4.62±0.48
188	Painters/sculptors/craft-artists/artist printmakers	5: Black	39	9,904	87.38	2.62	1.05	2.62±1.05
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	90.60	4.50	0.46	4.50±0.46
189	Photographers	1: Total	503	134,989	90.78	4.28	0.57	4.28±0.57
189	Photographers	2: Male	364	101,240	91.36	4.28	0.72	4.28±0.72
189	Photographers	3: Female	139	33,749	89.04	4.29	0.87	4.29±0.87
189	Photographers	4: White	462	125,085	90.48	4.29	0.60	4.29±0.60
189	Photographers	5: Black	28	6,256	91.44	3.98	1.29	3.98±1.29
189	Photographers	6: Other	13	3,648	100.00
189	Photographers	7: Hispanic	18	4,926	95.42	1.00	0.00	1.00±0.00
189	Photographers	8: NonHispanic	485	130,063	90.60	4.34	0.57	4.34±0.57
195	Editors and reporters	1: Total	933	247,967	90.42	4.35	0.51	4.35±0.51
195	Editors and reporters	2: Male	478	130,383	95.26	4.32	0.70	4.32±0.70
195	Editors and reporters	3: Female	455	117,584	85.06	4.37	0.60	4.37±0.60
195	Editors and reporters	4: White	865	228,960	90.51	4.25	0.50	4.25±0.50
195	Editors and reporters	5: Black	45	12,182	88.49	5.26	2.60	5.26±2.60
195	Editors and reporters	6: Other	23	6,825	90.99	5.97	3.76	5.97±3.76
195	Editors and reporters	7: Hispanic	24	6,974	90.62	1.00	0.00	1.00±0.00
195	Editors and reporters	8: NonHispanic	909	240,992	90.42	4.45	0.52	4.45±0.52
197	Public relations specialists	1: Total	649	168,127	91.03	3.32	0.50	3.32±0.50
197	Public relations specialists	2: Male	271	72,038	91.52	3.36	0.85	3.36±0.85
197	Public relations specialists	3: Female	378	96,088	90.67	3.29	0.62	3.29±0.62
197	Public relations specialists	4: White	587	152,746	91.66	3.29	0.53	3.29±0.53
197	Public relations specialists	5: Black	48	11,635	80.67	3.56	1.34	3.56±1.34
197	Public relations specialists	6: Other	14	3,746	97.76	2.00	0.00	2.00±0.00
197	Public relations specialists	7: Hispanic	31	8,036	96.61	4.00	0.00	4.00±0.00
197	Public relations specialists	8: NonHispanic	618	160,091	90.75	3.31	0.51	3.31±0.51
203	Clinical lab technologists and technicians	1: Total	1,326	328,584	91.38	3.95	0.40	3.95±0.40
203	Clinical lab technologists and technicians	2: Male	293	78,792	91.87	2.95	0.61	2.95±0.61
203	Clinical lab technologists and technicians	3: Female	1,033	249,791	91.23	4.24	0.44	4.24±0.44
203	Clinical lab technologists and technicians	4: White	996	252,780	92.04	3.66	0.36	3.66±0.36
203	Clinical lab technologists and technicians	5: Black	237	50,404	88.71	5.33	1.06	5.33±1.06
203	Clinical lab technologists and technicians	6: Other	93	25,400	90.17	3.06	1.46	3.06±1.46
203	Clinical lab technologists and technicians	7: Hispanic	93	24,898	91.25	2.60	0.54	2.60±0.54
203	Clinical lab technologists and technicians	8: NonHispanic	1,233	303,685	91.39	4.06	0.41	4.06±0.41
206	Radiologic technicians	1: Total	543	137,287	91.93	4.47	0.72	4.47±0.72
206	Radiologic technicians	2: Male	153	41,478	93.10	4.34	1.29	4.34±1.29
206	Radiologic technicians	3: Female	390	95,809	91.43	4.52	0.71	4.52±0.71
206	Radiologic technicians	4: White	478	121,044	91.87	4.44	0.66	4.44±0.66
206	Radiologic technicians	5: Black	48	11,089	91.32	5.79	2.54	5.79±2.54
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	91.82	4.68	0.75	4.68±0.75
207	Licensed practical nurses	1: Total	1,851	433,437	86.94	4.88	0.34	4.88±0.34
207	Licensed practical nurses	2: Male	66	18,738	85.77	5.05	1.44	5.05±1.44
207	Licensed practical nurses	3: Female	1,785	414,700	86.99	4.88	0.35	4.88±0.35
207	Licensed practical nurses	4: White	1,375	340,291	86.36	4.93	0.38	4.93±0.38
207	Licensed practical nurses	5: Black	429	80,115	88.81	4.79	0.73	4.79±0.73
207	Licensed practical nurses	6: Other	47	13,031	90.51	3.66	1.37	3.66±1.37
207	Licensed practical nurses	7: Hispanic	92	22,621	85.60	3.82	0.70	3.82±0.70
207	Licensed practical nurses	8: NonHispanic	1,759	410,816	87.02	4.95	0.36	4.95±0.36
208	Health technologists and technicians	1: Total	1,314	330,504	88.10	5.13	0.46	5.13±0.46
208	Health technologists and technicians	2: Male	382	101,316	91.09	5.53	1.00	5.53±1.00
208	Health technologists and technicians	3: Female	932	229,188	86.77	5.01	0.50	5.01±0.50
208	Health technologists and technicians	4: White	1,040	266,221	87.73	5.25	0.50	5.25±0.50
208	Health technologists and technicians	5: Black	205	45,241	91.20	5.11	1.09	5.11±1.09
208	Health technologists and technicians	6: Other	69	19,042	85.83	3.69	1.15	3.69±1.15
208	Health technologists and technicians	7: Hispanic	94	24,937	95.56	6.62	3.24	6.62±3.24
208	Health technologists and technicians	8: NonHispanic	1,220	305,567	87.49	5.09	0.45	5.09±0.45
213	Electrical and electronic technicians	1: Total	1,447	378,968	92.58	3.83	0.40	3.83±0.40
213	Electrical and electronic technicians	2: Male	1,204	320,198	93.01	3.59	0.42	3.59±0.42
213	Electrical and electronic technicians	3: Female	243	58,770	90.24	4.77	0.83	4.77±0.83
213	Electrical and electronic technicians	4: White	1,211	318,155	91.93	3.85	0.43	3.85±0.43
213	Electrical and electronic technicians	5: Black	125	31,406	94.04	3.88	1.79	3.88±1.79
213	Electrical and electronic technicians	6: Other	111	29,407	98.01	2.69	0.98	2.69±0.98
213	Electrical and electronic technicians	7: Hispanic	79	20,080	92.81	3.31	1.62	3.31±1.62
213	Electrical and electronic technicians	8: NonHispanic	1,368	358,888	92.56	3.85	0.42	3.85±0.42
216	Engineering technicians	1: Total	1,023	261,701	90.95	4.50	0.51	4.50±0.51
216	Engineering technicians	2: Male	681	178,622	91.43	4.44	0.66	4.44±0.66
216	Engineering technicians	3: Female	342	83,079	89.91	4.60	0.80	4.60±0.80
216	Engineering technicians	4: White	855	220,821	90.72	4.51	0.54	4.51±0.54
216	Engineering technicians	5: Black	111	25,470	91.23	5.69	1.96	5.69±1.96
216	Engineering technicians	6: Other	57	15,410	93.68	1.52	0.25	1.52±0.25
216	Engineering technicians	7: Hispanic	43	10,812	91.28	7.23	2.04	7.23±2.04
216	Engineering technicians	8: NonHispanic	980	250,889	90.93	4.39	0.52	4.39±0.52
217	Drafting occs	1: Total	992	265,437	91.18	3.37	0.38	3.37±0.38
217	Drafting occs	2: Male	794	213,073	92.04	3.22	0.43	3.22±0.43
217	Drafting occs	3: Female	198	52,364	87.65	3.78	0.73	3.78±0.73
217	Drafting occs	4: White	902	243,043	91.63	3.48	0.41	3.48±0.41
217	Drafting occs	5: Black	40	9,474	88.63	1.34	0.26	1.34±0.26
217	Drafting occs	6: Other	50	12,920	84.57	3.39	0.71	3.39±0.71
217	Drafting occs	7: Hispanic	70	19,282	90.57	4.13	1.40	4.13±1.40
217	Drafting occs	8: NonHispanic	922	246,155	91.22	3.31	0.39	3.31±0.39
226	Airplane pilots and navigators	1: Total	407	107,936	94.50	4.54	0.92	4.54±0.92
226	Airplane pilots and navigators	2: Male	395	105,271	94.58	4.68	0.93	4.68±0.93
226	Airplane pilots and navigators	3: Female	12	2,665	91.30	1.00	0.00	1.00±0.00
226	Airplane pilots and navigators	4: White	398	105,231	94.70	4.77	0.96	4.77±0.96
226	Airplane pilots and navigators	5: Black	6	1,735	78.96	1.00	0.00	1.00±0.00
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	94.33	4.54	0.92	4.54±0.92
229	Computer programmers	1: Total	1,961	515,413	89.89	3.33	0.26	3.33±0.26
229	Computer programmers	2: Male	1,291	345,931	91.59	3.07	0.30	3.07±0.30
229	Computer programmers	3: Female	670	169,482	86.43	3.65	0.45	3.65±0.45
229	Computer programmers	4: White	1,658	441,655	89.83	3.31	0.28	3.31±0.28
229	Computer programmers	5: Black	156	35,443	90.50	4.07	1.27	4.07±1.27
229	Computer programmers	6: Other	147	38,315	90.08	2.92	0.59	2.92±0.59
229	Computer programmers	7: Hispanic	90	23,934	91.14	3.66	0.78	3.65±0.78
229	Computer programmers	8: NonHispanic	1,871	491,479	89.83	3.31	0.26	3.31±0.26
234	Legal assistants	1: Total	945	245,025	90.40	4.04	0.48	4.04±0.48
234	Legal assistants	2: Male	190	51,098	94.47	2.73	1.18	2.73±1.18
234	Legal assistants	3: Female	755	193,927	89.33	4.22	0.53	4.22±0.53
234	Legal assistants	4: White	841	218,530	90.14	3.96	0.47	3.96±0.47
234	Legal assistants	5: Black	71	16,896	92.16	4.60	1.94	4.60±1.94
234	Legal assistants	6: Other	33	9,598	93.19	5.59	3.36	5.59±3.36
234	Legal assistants	7: Hispanic	60	15,187	95.15	6.81	2.88	6.81±2.88
234	Legal assistants	8: NonHispanic	885	229,838	90.08	3.95	0.48	3.95±0.48
235	Technicians	1: Total	1,780	462,626	90.00	3.90	0.30	3.90±0.30
235	Technicians	2: Male	1,230	323,700	91.16	3.77	0.41	3.77±0.41
235	Technicians	3: Female	550	138,926	87.29	4.11	0.45	4.11±0.45
235	Technicians	4: White	1,496	391,624	89.75	3.89	0.33	3.89±0.33
235	Technicians	5: Black	158	36,652	89.29	4.42	1.10	4.42±1.10
235	Technicians	6: Other	126	34,349	93.53	3.16	1.10	3.16±1.10
235	Technicians	7: Hispanic	99	28,281	94.04	7.84	2.07	7.84±2.07
235	Technicians	8: NonHispanic	1,681	434,345	89.73	3.75	0.30	3.75±0.30
243	Supervisors/Proprietors, Sales Occupations	1: Total	13,986	3,596,023	93.15	4.46	0.14	4.46±0.14
243	Supervisors/Proprietors, Sales Occupations	2: Male	8,835	2,315,820	94.12	4.63	0.21	4.63±0.21
243	Supervisors/Proprietors, Sales Occupations	3: Female	5,151	1,280,203	91.39	4.25	0.22	4.25±0.22
243	Supervisors/Proprietors, Sales Occupations	4: White	12,793	3,297,445	93.09	4.39	0.15	4.39±0.15
243	Supervisors/Proprietors, Sales Occupations	5: Black	706	169,165	92.80	5.41	0.75	5.41±0.75
243	Supervisors/Proprietors, Sales Occupations	6: Other	487	129,414	95.20	5.24	0.90	5.24±0.90
243	Supervisors/Proprietors, Sales Occupations	7: Hispanic	751	197,592	92.89	4.29	0.73	4.29±0.73
243	Supervisors/Proprietors, Sales Occupations	8: NonHispanic	13,235	3,398,432	93.16	4.47	0.15	4.47±0.15
253	Insurance sales occs	1: Total	2,576	654,951	91.49	4.78	0.35	4.78±0.35
253	Insurance sales occs	2: Male	1,634	422,637	92.89	4.93	0.48	4.93±0.48
253	Insurance sales occs	3: Female	942	232,314	88.96	4.59	0.50	4.59±0.50
253	Insurance sales occs	4: White	2,337	598,754	91.34	4.73	0.35	4.73±0.35
253	Insurance sales occs	5: Black	179	40,514	92.87	5.45	1.40	5.45±1.40
253	Insurance sales occs	6: Other	60	15,683	93.92	5.37	4.12	5.37±4.12
253	Insurance sales occs	7: Hispanic	116	30,301	88.64	3.69	0.88	3.69±0.88
253	Insurance sales occs	8: NonHispanic	2,460	624,650	91.63	4.85	0.37	4.85±0.37
254	Real estate sales occs	1: Total	3,071	788,281	92.45	5.41	0.37	5.41±0.37
254	Real estate sales occs	2: Male	1,547	401,798	93.06	4.93	0.52	4.93±0.52
254	Real estate sales occs	3: Female	1,524	386,483	91.82	5.84	0.47	5.84±0.47
254	Real estate sales occs	4: White	2,889	740,931	92.22	5.45	0.37	5.45±0.37
254	Real estate sales occs	5: Black	102	24,062	96.36	2.88	0.44	2.88±0.44
254	Real estate sales occs	6: Other	80	23,288	95.86	5.63	1.50	5.63±1.50
254	Real estate sales occs	7: Hispanic	122	32,809	94.78	5.63	2.08	5.63±2.08
254	Real estate sales occs	8: NonHispanic	2,949	755,472	92.35	5.41	0.37	5.41±0.37
255	Securities and financial services sales occs	1: Total	1,093	288,542	92.01	4.05	0.55	4.05±0.55
255	Securities and financial services sales occs	2: Male	787	211,164	93.47	4.13	0.53	4.13±0.53
255	Securities and financial services sales occs	3: Female	306	77,378	88.03	3.93	0.86	3.93±0.86
255	Securities and financial services sales occs	4: White	1,000	265,488	92.03	4.19	0.57	4.19±0.57
255	Securities and financial services sales occs	5: Black	64	15,184	91.73	2.60	0.94	2.60±0.94
255	Securities and financial services sales occs	6: Other	29	7,870	91.97	2.37	0.31	2.37±0.31
255	Securities and financial services sales occs	7: Hispanic	28	7,195	91.09	1.00	0.00	1.00±0.00
255	Securities and financial services sales occs	8: NonHispanic	1,065	281,347	92.03	4.14	0.56	4.14±0.56
256	Advertising and related sales occs	1: Total	547	142,145	90.16	4.34	0.70	4.34±0.70
256	Advertising and related sales occs	2: Male	269	71,964	91.88	5.63	1.37	5.63±1.37
256	Advertising and related sales occs	3: Female	278	70,181	88.40	3.42	0.61	3.42±0.61
256	Advertising and related sales occs	4: White	511	133,280	89.87	4.23	0.71	4.23±0.71
256	Advertising and related sales occs	5: Black	27	6,644	92.75	7.57	4.60	7.57±4.60
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	1.48	0.35	1.48±0.35
256	Advertising and related sales occs	8: NonHispanic	527	137,258	90.12	4.44	0.72	4.44±0.72
257	Sales occs, other business services	1: Total	1,500	393,028	90.89	3.66	0.32	3.66±0.32
257	Sales occs, other business services	2: Male	944	252,718	92.04	3.33	0.39	3.33±0.39
257	Sales occs, other business services	3: Female	556	140,309	88.81	4.10	0.50	4.10±0.50
257	Sales occs, other business services	4: White	1,385	364,858	91.03	3.64	0.34	3.64±0.34
257	Sales occs, other business services	5: Black	86	19,777	87.03	3.62	1.19	3.62±1.19
257	Sales occs, other business services	6: Other	29	8,392	93.92	5.53	1.06	5.53±1.06
257	Sales occs, other business services	7: Hispanic	83	20,971	86.83	2.79	0.92	2.79±0.92
257	Sales occs, other business services	8: NonHispanic	1,417	372,057	91.12	3.74	0.34	3.74±0.34
259	Sales reps, mining/manufact/wholesale	1: Total	5,013	1,305,211	93.06	4.14	0.22	4.14±0.22
259	Sales reps, mining/manufact/wholesale	2: Male	3,833	1,004,909	93.91	3.86	0.26	3.86±0.26
259	Sales reps, mining/manufact/wholesale	3: Female	1,180	300,302	90.22	4.71	0.39	4.71±0.39
259	Sales reps, mining/manufact/wholesale	4: White	4,750	1,240,419	93.00	4.15	0.23	4.15±0.23
259	Sales reps, mining/manufact/wholesale	5: Black	170	39,789	92.08	4.16	1.24	4.16±1.24
259	Sales reps, mining/manufact/wholesale	6: Other	93	25,003	97.38	2.00	0.00	2.00±0.00
259	Sales reps, mining/manufact/wholesale	7: Hispanic	232	58,984	89.41	3.82	0.92	3.82±0.92
259	Sales reps, mining/manufact/wholesale	8: NonHispanic	4,781	1,246,227	93.23	4.16	0.23	4.16±0.23
263	Sales workers, motor vehicles and boats	1: Total	991	255,606	92.92	5.28	0.59	5.28±0.59
263	Sales workers, motor vehicles and boats	2: Male	936	241,931	93.34	5.21	0.66	5.21±0.66
263	Sales workers, motor vehicles and boats	3: Female	55	13,676	85.49	5.87	2.05	5.87±2.05
263	Sales workers, motor vehicles and boats	4: White	936	240,349	92.93	5.22	0.61	5.22±0.61
263	Sales workers, motor vehicles and boats	5: Black	41	11,496	98.30	14.00	0.00	14.00±0.00
263	Sales workers, motor vehicles and boats	6: Other	14	3,761	76.16	4.67	3.11	4.67±3.11
263	Sales workers, motor vehicles and boats	7: Hispanic	59	14,878	94.12	2.23	0.49	2.23±0.49
263	Sales workers, motor vehicles and boats	8: NonHispanic	932	240,729	92.85	5.44	0.62	5.44±0.62
264	Sales workers, apparel	1: Total	1,169	296,930	91.72	4.48	0.44	4.48±0.44
264	Sales workers, apparel	2: Male	196	53,627	96.63	4.57	1.40	4.57±1.40
264	Sales workers, apparel	3: Female	973	243,303	90.63	4.47	0.47	4.47±0.47
264	Sales workers, apparel	4: White	1,001	258,828	91.78	4.40	0.45	4.40±0.45
264	Sales workers, apparel	5: Black	127	27,636	91.28	4.00	1.05	4.00±1.05
264	Sales workers, apparel	6: Other	41	10,465	91.19	7.65	3.67	7.65±3.67
264	Sales workers, apparel	7: Hispanic	124	32,386	89.59	4.01	0.90	4.01±0.90
264	Sales workers, apparel	8: NonHispanic	1,045	264,544	91.98	4.56	0.48	4.56±0.48
266	Sales workers, furniture and home furnishings	1: Total	402	105,818	93.11	4.86	0.90	4.86±0.90
266	Sales workers, furniture and home furnishings	2: Male	213	54,694	90.67	5.54	1.24	5.54±1.24
266	Sales workers, furniture and home furnishings	3: Female	189	51,124	95.73	3.26	1.09	3.26±1.09
266	Sales workers, furniture and home furnishings	4: White	372	99,018	93.91	4.80	1.09	4.80±1.09
266	Sales workers, furniture and home furnishings	5: Black	22	4,966	79.14	3.20	1.03	3.20±1.03
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	3.57	1.25	3.57±1.25
266	Sales workers, furniture and home furnishings	8: NonHispanic	372	97,973	93.37	5.01	1.00	5.01±1.00
267	Sales workers, radio, TV, hi-fi and appliances	1: Total	452	119,117	90.16	2.62	0.49	2.62±0.49
267	Sales workers, radio, TV, hi-fi and appliances	2: Male	345	91,775	92.57	2.78	0.65	2.78±0.65
267	Sales workers, radio, TV, hi-fi and appliances	3: Female	107	27,342	82.06	2.41	0.75	2.41±0.75
267	Sales workers, radio, TV, hi-fi and appliances	4: White	403	107,942	90.07	2.48	0.49	2.48±0.49
267	Sales workers, radio, TV, hi-fi and appliances	5: Black	33	6,979	92.20	6.83	1.33	6.83±1.33
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	86.37	1.00	0.00	1.00±0.00
267	Sales workers, radio, TV, hi-fi and appliances	8: NonHispanic	431	112,705	90.37	2.75	0.52	2.75±0.52
268	Sales workers, hardware and building supplies	1: Total	444	116,569	93.64	5.42	0.74	5.42±0.74
268	Sales workers, hardware and building supplies	2: Male	350	92,969	92.50	5.26	0.76	5.26±0.76
268	Sales workers, hardware and building supplies	3: Female	94	23,600	98.13	8.05	4.56	8.05±4.56
268	Sales workers, hardware and building supplies	4: White	428	112,288	93.40	5.42	0.74	5.42±0.74
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	86.18	2.63	1.22	2.63±1.22
268	Sales workers, hardware and building supplies	8: NonHispanic	430	113,094	93.87	5.62	0.82	5.62±0.82
269	Sales workers, parts	1: Total	525	138,870	93.83	3.18	0.83	3.18±0.83
269	Sales workers, parts	2: Male	474	125,177	93.48	3.23	0.87	3.23±0.87
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	94.00	2.09	0.37	2.09±0.37
269	Sales workers, parts	5: Black	26	7,235	89.19	14.00	0.00	14.00±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	93.66	3.25	0.85	3.25±0.85
274	Sales workers, other commodities	1: Total	8,281	2,118,672	91.46	4.57	0.19	4.57±0.19
274	Sales workers, other commodities	2: Male	2,889	764,573	92.59	4.68	0.33	4.68±0.33
274	Sales workers, other commodities	3: Female	5,392	1,354,099	90.82	4.52	0.24	4.52±0.24
274	Sales workers, other commodities	4: White	7,370	1,900,230	91.30	4.55	0.20	4.55±0.20
274	Sales workers, other commodities	5: Black	650	142,383	93.05	4.31	0.60	4.31±0.60
274	Sales workers, other commodities	6: Other	261	76,059	92.50	5.62	1.47	5.62±1.47
274	Sales workers, other commodities	7: Hispanic	537	137,695	89.90	4.26	0.56	4.26±0.56
274	Sales workers, other commodities	8: NonHispanic	7,744	1,980,977	91.57	4.60	0.20	4.60±0.20
275	Sales counter clerks	1: Total	715	182,795	92.45	4.87	0.75	4.87±0.75
275	Sales counter clerks	2: Male	234	62,397	93.14	5.50	1.43	5.50±1.43
275	Sales counter clerks	3: Female	481	120,397	92.10	4.59	0.88	4.59±0.88
275	Sales counter clerks	4: White	556	145,649	92.22	4.58	0.80	4.58±0.80
275	Sales counter clerks	5: Black	87	18,053	89.05	6.36	2.27	6.36±2.27
275	Sales counter clerks	6: Other	72	19,093	97.48	5.48	0.35	5.48±0.35
275	Sales counter clerks	7: Hispanic	63	17,033	94.66	4.90	2.52	4.90±2.52
275	Sales counter clerks	8: NonHispanic	652	165,762	92.23	4.87	0.76	4.87±0.76
276	Cashiers	1: Total	8,164	2,043,195	90.21	4.51	0.17	4.51±0.17
276	Cashiers	2: Male	1,384	361,042	92.18	4.53	0.44	4.53±0.44
276	Cashiers	3: Female	6,780	1,682,152	89.79	4.50	0.18	4.50±0.18
276	Cashiers	4: White	6,314	1,619,868	89.96	4.42	0.19	4.42±0.19
276	Cashiers	5: Black	1,444	312,261	89.67	5.09	0.36	5.09±0.36
276	Cashiers	6: Other	406	111,066	95.48	3.58	1.02	3.58±1.02
276	Cashiers	7: Hispanic	743	187,024	90.85	4.35	0.43	4.35±0.43
276	Cashiers	8: NonHispanic	7,421	1,856,171	90.15	4.52	0.18	4.52±0.18
277	Street and door-to-door sales workers	1: Total	1,084	276,408	87.91	4.39	0.35	4.39±0.35
277	Street and door-to-door sales workers	2: Male	258	68,964	94.22	4.16	0.75	4.16±0.75
277	Street and door-to-door sales workers	3: Female	826	207,444	85.81	4.43	0.40	4.43±0.40
277	Street and door-to-door sales workers	4: White	973	251,242	87.96	4.35	0.38	4.35±0.38
277	Street and door-to-door sales workers	5: Black	96	21,783	86.43	4.91	1.01	4.91±1.01
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	92.41	5.25	1.87	5.25±1.87
277	Street and door-to-door sales workers	8: NonHispanic	1,011	257,661	87.58	4.36	0.35	4.36±0.35
303	Supervisors, general office	1: Total	1,807	456,019	90.18	4.21	0.34	4.21±0.34
303	Supervisors, general office	2: Male	471	127,692	91.39	2.98	0.45	2.98±0.45
303	Supervisors, general office	3: Female	1,336	328,327	89.71	4.61	0.41	4.61±0.41
303	Supervisors, general office	4: White	1,542	393,770	90.36	4.09	0.34	4.09±0.34
303	Supervisors, general office	5: Black	210	47,377	90.88	5.58	1.16	5.58±1.16
303	Supervisors, general office	6: Other	55	14,872	83.28	3.77	1.68	3.77±1.68
303	Supervisors, general office	7: Hispanic	100	26,940	93.92	2.99	0.71	2.99±0.71
303	Supervisors, general office	8: NonHispanic	1,707	429,079	89.94	4.26	0.35	4.26±0.35
307	Supervisors, distribution, scheduling, and adjusting clerks	1: Total	706	177,953	93.37	4.10	0.64	4.10±0.64
307	Supervisors, distribution, scheduling, and adjusting clerks	2: Male	461	119,950	94.48	4.64	0.82	4.64±0.82
307	Supervisors, distribution, scheduling, and adjusting clerks	3: Female	245	58,003	91.08	3.41	0.88	3.41±0.88
307	Supervisors, distribution, scheduling, and adjusting clerks	4: White	561	145,138	93.79	4.22	0.76	4.22±0.76
307	Supervisors, distribution, scheduling, and adjusting clerks	5: Black	128	28,601	91.90	3.64	1.35	3.64±1.35
307	Supervisors, distribution, scheduling, and adjusting clerks	6: Other	17	4,214	88.99	4.00	0.00	4.00±0.00
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	93.06	4.18	0.65	4.18±0.65
308	Computer operators	1: Total	2,629	659,841	90.21	4.02	0.29	4.02±0.29
308	Computer operators	2: Male	880	234,917	91.06	3.78	0.46	3.78±0.46
308	Computer operators	3: Female	1,749	424,925	89.74	4.13	0.37	4.13±0.37
308	Computer operators	4: White	2,105	543,263	90.47	3.94	0.32	3.94±0.32
308	Computer operators	5: Black	436	92,859	88.57	4.45	0.78	4.45±0.78
308	Computer operators	6: Other	88	23,719	90.68	3.71	0.78	3.71±0.78
308	Computer operators	7: Hispanic	159	42,368	93.98	2.71	1.34	2.71±1.34
308	Computer operators	8: NonHispanic	2,470	617,473	89.95	4.07	0.29	4.07±0.29
313	Secretaries	1: Total	15,276	3,828,302	89.98	4.06	0.12	4.06±0.12
313	Secretaries	2: Male	183	46,281	93.37	2.85	0.43	2.85±0.43
313	Secretaries	3: Female	15,093	3,782,021	89.94	4.07	0.12	4.07±0.12
313	Secretaries	4: White	13,564	3,453,562	90.09	4.05	0.14	4.05±0.14
313	Secretaries	5: Black	1,418	290,884	88.33	4.31	0.31	4.31±0.31
313	Secretaries	6: Other	294	83,856	91.06	3.37	0.70	3.37±0.70
313	Secretaries	7: Hispanic	890	229,081	91.92	4.17	0.47	4.17±0.47
313	Secretaries	8: NonHispanic	14,386	3,599,220	89.86	4.06	0.13	4.06±0.13
315	Typists	1: Total	2,109	515,090	89.25	3.96	0.28	3.96±0.28
315	Typists	2: Male	109	28,810	91.15	3.65	1.14	3.65±1.14
315	Typists	3: Female	2,000	486,281	89.14	3.97	0.28	3.97±0.28
315	Typists	4: White	1,587	407,125	89.53	3.92	0.32	3.92±0.32
315	Typists	5: Black	445	88,156	88.38	4.38	0.54	4.38±0.54
315	Typists	6: Other	77	19,809	87.31	2.85	0.87	2.85±0.87
315	Typists	7: Hispanic	153	36,679	90.73	2.95	0.98	2.95±0.98
315	Typists	8: NonHispanic	1,956	478,411	89.14	4.02	0.28	4.02±0.28
316	Interviewers	1: Total	581	146,720	91.13	4.11	0.79	4.11±0.79
316	Interviewers	2: Male	69	18,133	93.47	5.00	1.92	5.00±1.92
316	Interviewers	3: Female	512	128,587	90.80	4.02	0.85	4.02±0.85
316	Interviewers	4: White	479	126,116	91.66	4.33	0.88	4.33±0.88
316	Interviewers	5: Black	92	18,343	89.49	3.66	1.81	3.66±1.81
316	Interviewers	6: Other	10	2,261	74.95	1.62	0.33	1.62±0.33
316	Interviewers	7: Hispanic	38	9,918	91.18	6.34	1.65	6.34±1.65
316	Interviewers	8: NonHispanic	543	136,801	91.13	3.95	0.82	3.95±0.82
318	Transportation ticket and reservation agents	1: Total	642	164,670	93.07	4.73	0.55	4.73±0.55
318	Transportation ticket and reservation agents	2: Male	214	56,559	95.93	4.21	1.32	4.21±1.32
318	Transportation ticket and reservation agents	3: Female	428	108,111	91.58	4.86	0.72	4.86±0.72
318	Transportation ticket and reservation agents	4: White	533	138,098	92.65	4.58	0.59	4.58±0.59
318	Transportation ticket and reservation agents	5: Black	80	18,274	96.92	8.02	2.36	8.02±2.36
318	Transportation ticket and reservation agents	6: Other	29	8,299	91.69	4.25	0.66	4.25±0.66
318	Transportation ticket and reservation agents	7: Hispanic	54	13,923	85.61	2.82	0.93	2.82±0.93
318	Transportation ticket and reservation agents	8: NonHispanic	588	150,747	93.76	5.14	0.57	5.14±0.57
319	Receptionists	1: Total	3,010	747,566	89.44	4.32	0.25	4.32±0.25
319	Receptionists	2: Male	99	26,737	89.84	3.34	0.52	3.34±0.52
319	Receptionists	3: Female	2,911	720,830	89.42	4.35	0.26	4.35±0.26
319	Receptionists	4: White	2,649	671,925	89.46	4.20	0.26	4.20±0.26
319	Receptionists	5: Black	294	57,688	88.08	5.73	0.90	5.73±0.90
319	Receptionists	6: Other	67	17,953	92.79	2.86	0.51	2.86±0.51
319	Receptionists	7: Hispanic	270	70,963	88.40	5.08	0.74	5.08±0.74
319	Receptionists	8: NonHispanic	2,740	676,603	89.55	4.23	0.25	4.23±0.25
327	Order clerks	1: Total	735	183,515	89.88	4.56	0.61	4.56±0.61
327	Order clerks	2: Male	183	48,147	92.12	5.39	2.01	5.39±2.01
327	Order clerks	3: Female	552	135,368	89.09	4.35	0.53	4.35±0.53
327	Order clerks	4: White	596	153,766	89.17	4.50	0.69	4.50±0.69
327	Order clerks	5: Black	125	25,840	92.61	5.12	2.09	5.12±2.09
327	Order clerks	6: Other	14	3,910	100.00
327	Order clerks	7: Hispanic	54	14,429	90.51	2.96	0.78	2.96±0.78
327	Order clerks	8: NonHispanic	681	169,086	89.83	4.69	0.66	4.69±0.66
329	Library clerks	1: Total	491	125,725	89.57	3.95	0.68	3.95±0.68
329	Library clerks	2: Male	96	27,366	89.29	6.32	1.99	6.32±1.99
329	Library clerks	3: Female	395	98,359	89.65	3.27	0.61	3.27±0.61
329	Library clerks	4: White	392	100,948	90.71	4.49	0.92	4.49±0.92
329	Library clerks	5: Black	68	15,408	86.34	2.12	0.46	2.12±0.46
329	Library clerks	6: Other	31	9,369	82.68	3.21	0.93	3.21±0.93
329	Library clerks	7: Hispanic	36	10,207	94.11	9.94	3.62	9.94±3.62
329	Library clerks	8: NonHispanic	455	115,518	89.17	3.66	0.63	3.66±0.63
335	File clerks	1: Total	790	193,069	90.71	3.89	0.42	3.89±0.42
335	File clerks	2: Male	165	40,157	94.44	2.69	0.74	2.69±0.74
335	File clerks	3: Female	625	152,912	89.73	4.06	0.46	4.06±0.46
335	File clerks	4: White	575	147,502	90.40	3.90	0.44	3.90±0.44
335	File clerks	5: Black	177	35,931	90.86	4.19	0.96	4.19±0.96
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	89.35	2.93	0.51	2.93±0.51
335	File clerks	8: NonHispanic	714	173,853	90.86	4.01	0.48	4.01±0.48
336	Records clerks	1: Total	645	159,184	89.80	4.18	0.52	4.18±0.52
336	Records clerks	2: Male	128	34,088	94.46	2.52	0.47	2.52±0.47
336	Records clerks	3: Female	517	125,096	88.52	4.40	0.57	4.40±0.57
336	Records clerks	4: White	518	133,291	89.68	4.30	0.62	4.30±0.62
336	Records clerks	5: Black	102	19,718	90.84	3.76	1.04	3.76±1.04
336	Records clerks	6: Other	25	6,175	88.92	3.00	0.00	3.00±0.00
336	Records clerks	7: Hispanic	51	11,973	88.96	2.72	0.92	2.72±0.92
336	Records clerks	8: NonHispanic	594	147,211	89.86	4.31	0.56	4.31±0.56
337	Bookkeepers, accounting, and auditing clerks	1: Total	7,239	1,817,127	91.30	4.60	0.20	4.60±0.20
337	Bookkeepers, accounting, and auditing clerks	2: Male	622	163,476	91.20	5.82	0.81	5.82±0.81
337	Bookkeepers, accounting, and auditing clerks	3: Female	6,617	1,653,650	91.31	4.48	0.20	4.48±0.20
337	Bookkeepers, accounting, and auditing clerks	4: White	6,542	1,651,362	91.11	4.58	0.21	4.58±0.21
337	Bookkeepers, accounting, and auditing clerks	5: Black	446	97,144	91.50	5.27	0.81	5.27±0.81
337	Bookkeepers, accounting, and auditing clerks	6: Other	251	68,621	95.75	3.86	1.66	3.86±1.66
337	Bookkeepers, accounting, and auditing clerks	7: Hispanic	360	90,453	89.01	3.54	0.64	3.54±0.64
337	Bookkeepers, accounting, and auditing clerks	8: NonHispanic	6,879	1,726,674	91.42	4.67	0.21	4.67±0.21
338	Payroll and timekeeping clerks	1: Total	605	150,511	89.99	4.17	0.61	4.17±0.61
338	Payroll and timekeeping clerks	2: Male	63	15,990	91.88	1.38	0.23	1.38±0.23
338	Payroll and timekeeping clerks	3: Female	542	134,521	89.77	4.44	0.67	4.44±0.67
338	Payroll and timekeeping clerks	4: White	508	129,718	89.43	4.03	0.65	4.03±0.65
338	Payroll and timekeeping clerks	5: Black	75	14,808	95.47	8.87	1.46	8.87±1.46
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	2.27	0.37	2.27±0.37
338	Payroll and timekeeping clerks	8: NonHispanic	566	141,237	90.00	4.30	0.64	4.30±0.64
339	Billing clerks	1: Total	657	165,608	89.74	4.64	0.56	4.64±0.56
339	Billing clerks	2: Male	55	15,055	84.90	7.03	1.58	7.03±1.58
339	Billing clerks	3: Female	602	150,553	90.22	4.27	0.58	4.27±0.58
339	Billing clerks	4: White	557	143,857	90.23	4.77	0.63	4.77±0.63
339	Billing clerks	5: Black	76	15,636	88.57	2.46	0.80	2.46±0.80
339	Billing clerks	6: Other	24	6,115	81.14	6.49	2.13	6.49±2.13
339	Billing clerks	7: Hispanic	33	8,191	91.51	2.79	1.20	2.79±1.20
339	Billing clerks	8: NonHispanic	624	157,417	89.64	4.72	0.58	4.72±0.58
348	Telephone operators	1: Total	795	195,396	87.90	4.98	0.56	4.98±0.56
348	Telephone operators	2: Male	76	20,290	89.67	2.49	0.47	2.49±0.47
348	Telephone operators	3: Female	719	175,105	87.69	5.22	0.60	5.22±0.60
348	Telephone operators	4: White	582	149,302	88.21	4.77	0.56	4.77±0.56
348	Telephone operators	5: Black	187	38,556	87.86	4.40	0.85	4.40±0.85
348	Telephone operators	6: Other	26	7,537	81.90	9.68	2.51	9.68±2.51
348	Telephone operators	7: Hispanic	43	11,184	93.49	5.43	3.29	5.43±3.29
348	Telephone operators	8: NonHispanic	752	184,211	87.56	4.97	0.57	4.97±0.57
354	Postal clerks, except mail carriers	1: Total	1,317	310,003	88.14	4.98	0.41	4.98±0.41
354	Postal clerks, except mail carriers	2: Male	697	170,471	90.00	4.40	0.51	4.40±0.51
354	Postal clerks, except mail carriers	3: Female	620	139,532	85.87	5.49	0.58	5.49±0.58
354	Postal clerks, except mail carriers	4: White	834	207,923	87.88	5.03	0.48	5.03±0.48
354	Postal clerks, except mail carriers	5: Black	405	82,256	88.76	4.81	0.65	4.81±0.65
354	Postal clerks, except mail carriers	6: Other	78	19,824	88.29	5.22	0.94	5.22±0.94
354	Postal clerks, except mail carriers	7: Hispanic	86	21,022	75.19	4.33	1.10	4.33±1.10
354	Postal clerks, except mail carriers	8: NonHispanic	1,231	288,981	89.08	5.09	0.45	5.09±0.45
355	Mail carriers, postal service	1: Total	1,216	303,415	89.57	5.14	0.44	5.14±0.44
355	Mail carriers, postal service	2: Male	858	217,151	90.42	5.60	0.57	5.60±0.57
355	Mail carriers, postal service	3: Female	358	86,263	87.42	4.25	0.62	4.25±0.62
355	Mail carriers, postal service	4: White	1,003	251,840	90.17	5.12	0.51	5.12±0.51
355	Mail carriers, postal service	5: Black	173	39,538	88.66	6.05	1.25	6.05±1.25
355	Mail carriers, postal service	6: Other	40	12,037	79.87	3.58	0.70	3.58±0.70
355	Mail carriers, postal service	7: Hispanic	80	21,353	82.06	3.23	0.81	3.23±0.81
355	Mail carriers, postal service	8: NonHispanic	1,136	282,061	90.13	5.40	0.50	5.40±0.50
356	Mail clerks, except postal service	1: Total	715	178,110	91.28	4.79	0.60	4.79±0.60
356	Mail clerks, except postal service	2: Male	384	101,596	92.16	5.27	0.95	5.27±0.95
356	Mail clerks, except postal service	3: Female	331	76,514	90.11	4.29	0.78	4.29±0.78
356	Mail clerks, except postal service	4: White	513	134,186	91.95	5.67	0.76	5.67±0.76
356	Mail clerks, except postal service	5: Black	180	38,112	90.87	2.31	0.56	2.31±0.56
356	Mail clerks, except postal service	6: Other	22	5,812	78.54	4.13	1.14	4.13±1.14
356	Mail clerks, except postal service	7: Hispanic	66	18,429	95.98	2.65	0.31	2.65±0.31
356	Mail clerks, except postal service	8: NonHispanic	649	159,682	90.74	4.90	0.64	4.90±0.64
357	Messengers	1: Total	487	123,316	90.30	5.02	0.80	5.02±0.80
357	Messengers	2: Male	368	94,001	89.82	5.22	0.93	5.22±0.93
357	Messengers	3: Female	119	29,314	91.83	4.22	1.30	4.22±1.30
357	Messengers	4: White	379	100,817	89.61	4.57	0.79	4.57±0.79
357	Messengers	5: Black	92	18,180	93.49	6.61	2.47	6.61±2.47
357	Messengers	6: Other	16	4,319	92.74	14.00	0.00	14.00±0.00
357	Messengers	7: Hispanic	48	12,004	86.49	7.45	2.46	7.45±2.46
357	Messengers	8: NonHispanic	439	111,312	90.71	4.64	0.82	4.64±0.82
359	Dispatchers	1: Total	724	180,789	89.00	4.71	0.73	4.71±0.73
359	Dispatchers	2: Male	357	91,223	93.68	3.55	0.90	3.55±0.90
359	Dispatchers	3: Female	367	89,566	84.24	5.19	0.94	5.19±0.94
359	Dispatchers	4: White	639	162,937	89.27	4.82	0.81	4.82±0.81
359	Dispatchers	5: Black	72	14,936	88.19	4.67	1.13	4.67±1.13
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	2.31	0.62	2.31±0.62
359	Dispatchers	8: NonHispanic	684	170,357	88.71	4.79	0.75	4.79±0.75
363	Production coordinators	1: Total	813	204,210	91.67	4.43	0.59	4.43±0.59
363	Production coordinators	2: Male	423	109,596	91.86	4.62	0.82	4.62±0.82
363	Production coordinators	3: Female	390	94,614	91.44	4.22	0.71	4.22±0.71
363	Production coordinators	4: White	723	184,024	91.92	4.25	0.58	4.25±0.58
363	Production coordinators	5: Black	68	15,000	90.41	5.03	1.81	5.03±1.81
363	Production coordinators	6: Other	22	5,187	86.26	6.92	2.75	6.92±2.75
363	Production coordinators	7: Hispanic	35	8,866	84.29	3.23	0.80	3.23±0.80
363	Production coordinators	8: NonHispanic	778	195,344	92.00	4.54	0.64	4.54±0.64
364	Traffic, shipping, and receiving clerks	1: Total	2,034	531,212	91.14	4.27	0.30	4.27±0.30
364	Traffic, shipping, and receiving clerks	2: Male	1,447	384,452	91.98	4.57	0.40	4.57±0.40
364	Traffic, shipping, and receiving clerks	3: Female	587	146,759	88.94	3.70	0.59	3.70±0.59
364	Traffic, shipping, and receiving clerks	4: White	1,640	434,475	91.19	4.08	0.34	4.08±0.34
364	Traffic, shipping, and receiving clerks	5: Black	332	77,426	91.77	4.55	0.90	4.55±0.90
364	Traffic, shipping, and receiving clerks	6: Other	62	19,310	87.64	6.63	2.07	6.63±2.07
364	Traffic, shipping, and receiving clerks	7: Hispanic	207	57,292	90.97	3.72	0.65	3.72±0.65
364	Traffic, shipping, and receiving clerks	8: NonHispanic	1,827	473,920	91.16	4.34	0.33	4.34±0.33
365	Stock and inventory clerks	1: Total	2,303	585,833	91.05	4.59	0.32	4.59±0.32
365	Stock and inventory clerks	2: Male	1,359	355,972	93.55	4.38	0.44	4.38±0.44
365	Stock and inventory clerks	3: Female	944	229,861	87.19	4.74	0.45	4.74±0.45
365	Stock and inventory clerks	4: White	1,863	483,956	91.08	4.76	0.36	4.76±0.36
365	Stock and inventory clerks	5: Black	366	81,578	92.04	4.58	0.83	4.58±0.83
365	Stock and inventory clerks	6: Other	74	20,299	86.46	1.86	0.30	1.86±0.30
365	Stock and inventory clerks	7: Hispanic	198	49,932	93.12	3.51	1.19	3.51±1.19
365	Stock and inventory clerks	8: NonHispanic	2,105	535,901	90.86	4.66	0.32	4.66±0.32
373	Expediters	1: Total	666	169,140	90.74	3.87	0.61	3.87±0.61
373	Expediters	2: Male	218	58,752	91.82	4.07	1.03	4.07±1.03
373	Expediters	3: Female	448	110,388	90.16	3.78	0.73	3.78±0.73
373	Expediters	4: White	554	143,787	90.96	3.74	0.68	3.74±0.68
373	Expediters	5: Black	93	20,203	86.78	4.52	1.46	4.52±1.46
373	Expediters	6: Other	19	5,150	100.00
373	Expediters	7: Hispanic	50	13,687	86.75	6.26	2.54	6.26±2.54
373	Expediters	8: NonHispanic	616	155,453	91.09	3.55	0.56	3.55±0.56
375	Insurance adjusters, examiners, and investigators	1: Total	1,228	304,227	90.20	4.50	0.40	4.50±0.40
375	Insurance adjusters, examiners, and investigators	2: Male	336	88,079	91.87	5.99	1.07	5.99±1.07
375	Insurance adjusters, examiners, and investigators	3: Female	892	216,148	89.52	4.03	0.39	4.03±0.39
375	Insurance adjusters, examiners, and investigators	4: White	1,019	258,407	90.54	4.69	0.46	4.69±0.46
375	Insurance adjusters, examiners, and investigators	5: Black	176	37,062	89.15	3.94	0.67	3.94±0.67
375	Insurance adjusters, examiners, and investigators	6: Other	33	8,758	84.53	2.68	0.80	2.68±0.80
375	Insurance adjusters, examiners, and investigators	7: Hispanic	75	18,714	91.70	6.40	2.93	6.40±2.93
375	Insurance adjusters, examiners, and investigators	8: NonHispanic	1,153	285,513	90.10	4.40	0.40	4.40±0.40
376	Investigators and adjusters, except insurance	1: Total	2,527	636,942	89.91	3.96	0.27	3.96±0.27
376	Investigators and adjusters, except insurance	2: Male	623	163,828	91.77	4.89	0.66	4.89±0.66
376	Investigators and adjusters, except insurance	3: Female	1,904	473,114	89.27	3.71	0.28	3.71±0.28
376	Investigators and adjusters, except insurance	4: White	2,127	544,471	89.62	3.96	0.29	3.96±0.29
376	Investigators and adjusters, except insurance	5: Black	324	73,460	90.74	4.26	0.73	4.26±0.73
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	88.52	4.73	1.03	4.73±1.03
376	Investigators and adjusters, except insurance	8: NonHispanic	2,345	591,700	90.02	3.89	0.27	3.89±0.27
378	Bill and account collectors	1: Total	519	133,916	86.94	4.03	0.53	4.03±0.53
378	Bill and account collectors	2: Male	180	48,058	89.64	2.87	0.71	2.87±0.71
378	Bill and account collectors	3: Female	339	85,858	85.43	4.49	0.77	4.49±0.77
378	Bill and account collectors	4: White	438	114,532	86.72	3.78	0.52	3.78±0.52
378	Bill and account collectors	5: Black	72	17,327	89.76	4.66	1.93	4.66±1.93
378	Bill and account collectors	6: Other	9	2,057	75.39	9.37	3.79	9.37±3.79
378	Bill and account collectors	7: Hispanic	51	11,787	91.10	4.58	2.27	4.58±2.27
378	Bill and account collectors	8: NonHispanic	468	122,129	86.54	4.00	0.54	4.00±0.54
379	General office clerks	1: Total	4,708	1,187,412	90.18	4.36	0.21	4.36±0.21
379	General office clerks	2: Male	804	217,103	90.96	4.45	0.60	4.45±0.60
379	General office clerks	3: Female	3,904	970,309	90.00	4.34	0.22	4.34±0.22
379	General office clerks	4: White	3,819	992,097	90.01	4.29	0.23	4.29±0.23
379	General office clerks	5: Black	714	147,483	90.11	5.23	0.63	5.23±0.63
379	General office clerks	6: Other	175	47,832	93.88	2.37	0.99	2.37±0.99
379	General office clerks	7: Hispanic	367	93,915	88.77	3.91	0.56	3.91±0.56
379	General office clerks	8: NonHispanic	4,341	1,093,497	90.30	4.40	0.24	4.40±0.24
383	Bank tellers	1: Total	1,791	452,802	91.35	4.18	0.31	4.18±0.31
383	Bank tellers	2: Male	150	39,851	93.71	3.14	1.00	3.14±1.00
383	Bank tellers	3: Female	1,641	412,951	91.12	4.25	0.33	4.25±0.33
383	Bank tellers	4: White	1,524	391,439	90.88	4.31	0.33	4.31±0.33
383	Bank tellers	5: Black	204	43,808	93.20	3.07	0.60	3.07±0.60
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	94.59	4.45	1.66	4.45±1.66
383	Bank tellers	8: NonHispanic	1,659	418,633	91.08	4.16	0.31	4.16±0.31
385	Data-entry keyers	1: Total	2,007	485,635	88.85	3.78	0.26	3.78±0.26
385	Data-entry keyers	2: Male	284	73,725	91.12	3.82	0.85	3.82±0.85
385	Data-entry keyers	3: Female	1,723	411,909	88.44	3.77	0.28	3.77±0.28
385	Data-entry keyers	4: White	1,453	365,475	87.89	3.52	0.28	3.52±0.28
385	Data-entry keyers	5: Black	448	91,883	92.03	5.04	0.74	5.04±0.74
385	Data-entry keyers	6: Other	106	28,277	90.95	4.69	1.63	4.69±1.63
385	Data-entry keyers	7: Hispanic	143	35,687	88.11	4.27	0.99	4.27±0.99
385	Data-entry keyers	8: NonHispanic	1,864	449,947	88.91	3.74	0.27	3.74±0.27
387	Teachers aides	1: Total	1,625	388,785	90.34	3.87	0.29	3.87±0.29
387	Teachers aides	2: Male	86	21,414	88.84	2.35	0.70	2.35±0.70
387	Teachers aides	3: Female	1,539	367,370	90.43	3.98	0.31	3.98±0.31
387	Teachers aides	4: White	1,261	314,883	90.52	3.99	0.34	3.99±0.34
387	Teachers aides	5: Black	320	61,772	87.90	3.45	0.55	3.45±0.55
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	90.54	3.48	0.91	3.48±0.91
387	Teachers aides	8: NonHispanic	1,415	336,566	90.31	3.93	0.30	3.93±0.30
389	Administrative support occs	1: Total	2,890	717,172	90.46	4.19	0.24	4.19±0.24
389	Administrative support occs	2: Male	650	169,607	92.90	3.72	0.51	3.72±0.51
389	Administrative support occs	3: Female	2,240	547,564	89.71	4.29	0.28	4.29±0.28
389	Administrative support occs	4: White	2,371	603,814	90.55	4.00	0.29	4.00±0.29
389	Administrative support occs	5: Black	405	82,999	90.03	5.05	0.72	5.05±0.72
389	Administrative support occs	6: Other	114	30,359	89.93	5.35	1.29	5.35±1.29
389	Administrative support occs	7: Hispanic	171	43,281	87.14	5.50	0.98	5.50±0.98
389	Administrative support occs	8: NonHispanic	2,719	673,891	90.68	4.08	0.25	4.08±0.25
406	Child care workers, private household	1: Total	735	184,736	90.49	5.30	0.55	5.30±0.55
406	Child care workers, private household	2: Male	13	4,252	100.00
406	Child care workers, private household	3: Female	722	180,484	90.27	5.30	0.55	5.30±0.55
406	Child care workers, private household	4: White	581	152,239	90.29	5.09	0.60	5.09±0.60
406	Child care workers, private household	5: Black	130	25,514	89.10	6.42	1.63	6.42±1.63
406	Child care workers, private household	6: Other	24	6,983	100.00
406	Child care workers, private household	7: Hispanic	77	20,558	96.19	6.48	3.44	6.48±3.44
406	Child care workers, private household	8: NonHispanic	658	164,178	89.78	5.25	0.59	5.25±0.59
407	Private household cleaners and servants	1: Total	2,307	515,168	90.42	5.54	0.37	5.54±0.37
407	Private household cleaners and servants	2: Male	112	27,623	92.68	7.19	2.35	7.19±2.35
407	Private household cleaners and servants	3: Female	2,195	487,545	90.29	5.47	0.36	5.47±0.36
407	Private household cleaners and servants	4: White	1,353	334,219	91.13	5.31	0.47	5.31±0.47
407	Private household cleaners and servants	5: Black	913	169,563	89.40	6.28	0.55	6.28±0.55
407	Private household cleaners and servants	6: Other	41	11,386	84.39	1.87	0.46	1.87±0.46
407	Private household cleaners and servants	7: Hispanic	380	93,012	94.89	4.68	0.91	4.68±0.91
407	Private household cleaners and servants	8: NonHispanic	1,927	422,156	89.43	5.63	0.42	5.63±0.42
417	Firefighting occs	1: Total	770	198,277	90.46	5.57	0.64	5.57±0.64
417	Firefighting occs	2: Male	750	193,361	90.47	5.66	0.65	5.66±0.65
417	Firefighting occs	3: Female	20	4,916	90.03	2.15	0.69	2.15±0.69
417	Firefighting occs	4: White	670	173,027	90.64	6.05	0.66	6.05±0.66
417	Firefighting occs	5: Black	82	19,686	88.38	2.82	1.24	2.82±1.24
417	Firefighting occs	6: Other	18	5,564	92.36	2.00	0.00	2.00±0.00
417	Firefighting occs	7: Hispanic	46	11,259	96.25	4.42	1.77	4.42±1.77
417	Firefighting occs	8: NonHispanic	724	187,017	90.11	5.60	0.65	5.60±0.65
418	Police and detectives, public service	1: Total	1,842	481,710	90.34	4.80	0.38	4.80±0.38
418	Police and detectives, public service	2: Male	1,617	427,880	90.54	4.97	0.40	4.97±0.40
418	Police and detectives, public service	3: Female	225	53,830	88.76	3.64	0.73	3.64±0.73
418	Police and detectives, public service	4: White	1,576	415,697	90.24	4.56	0.36	4.56±0.36
418	Police and detectives, public service	5: Black	235	57,495	90.20	6.55	1.02	6.55±1.02
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	93.32	4.14	1.09	4.14±1.09
418	Police and detectives, public service	8: NonHispanic	1,709	446,140	90.10	4.83	0.39	4.83±0.39
423	Sheriffs/bailiffs/other law enforcement officers	1: Total	487	127,159	91.81	3.67	0.58	3.67±0.58
423	Sheriffs/bailiffs/other law enforcement officers	2: Male	406	108,386	92.63	3.59	0.69	3.59±0.69
423	Sheriffs/bailiffs/other law enforcement officers	3: Female	81	18,773	87.06	3.93	0.88	3.93±0.88
423	Sheriffs/bailiffs/other law enforcement officers	4: White	414	110,731	92.84	2.99	0.44	2.99±0.44
423	Sheriffs/bailiffs/other law enforcement officers	5: Black	66	14,369	85.71	6.62	2.28	6.62±2.27
423	Sheriffs/bailiffs/other law enforcement officers	6: Other	7	2,059	78.99	2.00	0.00	2.00±0.00
423	Sheriffs/bailiffs/other law enforcement officers	7: Hispanic	27	7,896	90.31	2.00	0.00	2.00±0.00
423	Sheriffs/bailiffs/other law enforcement officers	8: NonHispanic	460	119,263	91.91	3.80	0.63	3.80±0.63
424	Correctional institution officers	1: Total	853	219,927	88.91	4.86	0.49	4.86±0.49
424	Correctional institution officers	2: Male	657	173,618	90.08	4.10	0.49	4.10±0.49
424	Correctional institution officers	3: Female	196	46,309	84.51	6.67	1.16	6.67±1.16
424	Correctional institution officers	4: White	598	156,718	87.77	4.24	0.50	4.24±0.50
424	Correctional institution officers	5: Black	246	60,620	91.69	6.84	1.22	6.84±1.22
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	89.51	6.03	1.75	6.03±1.75
424	Correctional institution officers	8: NonHispanic	792	203,552	88.86	4.77	0.50	4.77±0.50
426	Guards and police, except public service	1: Total	2,571	650,456	92.20	5.47	0.36	5.47±0.36
426	Guards and police, except public service	2: Male	2,154	552,369	92.86	5.41	0.42	5.41±0.42
426	Guards and police, except public service	3: Female	417	98,086	88.53	5.70	0.67	5.70±0.67
426	Guards and police, except public service	4: White	1,811	480,103	92.20	5.62	0.40	5.62±0.40
426	Guards and police, except public service	5: Black	677	149,390	91.85	5.07	0.79	5.07±0.79
426	Guards and police, except public service	6: Other	83	20,963	94.77	5.16	2.40	5.16±2.40
426	Guards and police, except public service	7: Hispanic	197	50,594	95.37	3.98	1.12	3.98±1.12
426	Guards and police, except public service	8: NonHispanic	2,374	599,862	91.94	5.55	0.38	5.55±0.38
433	Supervisors, food preparation and service occs	1: Total	1,006	259,072	89.64	5.63	0.58	5.63±0.58
433	Supervisors, food preparation and service occs	2: Male	403	104,802	90.28	5.59	0.85	5.59±0.85
433	Supervisors, food preparation and service occs	3: Female	603	154,270	89.20	5.66	0.79	5.66±0.79
433	Supervisors, food preparation and service occs	4: White	770	204,666	88.88	5.67	0.63	5.67±0.63
433	Supervisors, food preparation and service occs	5: Black	168	34,444	90.74	6.52	1.67	6.52±1.67
433	Supervisors, food preparation and service occs	6: Other	68	19,962	95.53	1.57	0.58	1.57±0.58
433	Supervisors, food preparation and service occs	7: Hispanic	87	25,251	92.51	8.96	2.44	8.96±2.44
433	Supervisors, food preparation and service occs	8: NonHispanic	919	233,821	89.33	5.38	0.59	5.38±0.59
434	Bartenders	1: Total	1,277	344,383	90.12	4.52	0.46	4.52±0.46
434	Bartenders	2: Male	609	165,509	93.04	4.40	1.05	4.40±1.05
434	Bartenders	3: Female	668	178,873	87.42	4.58	0.51	4.58±0.51
434	Bartenders	4: White	1,178	316,379	90.01	4.60	0.49	4.60±0.49
434	Bartenders	5: Black	62	16,534	90.92	3.58	1.56	3.58±1.56
434	Bartenders	6: Other	37	11,470	91.99	3.28	0.77	3.28±0.77
434	Bartenders	7: Hispanic	73	19,323	85.89	4.80	1.50	4.80±1.50
434	Bartenders	8: NonHispanic	1,204	325,059	90.37	4.49	0.49	4.49±0.49
435	Waiters and waitresses	1: Total	4,834	1,243,450	88.98	4.39	0.22	4.39±0.22
435	Waiters and waitresses	2: Male	831	223,627	93.18	4.04	0.53	4.04±0.53
435	Waiters and waitresses	3: Female	4,003	1,019,824	88.06	4.43	0.24	4.43±0.24
435	Waiters and waitresses	4: White	4,303	1,111,262	88.95	4.49	0.23	4.49±0.23
435	Waiters and waitresses	5: Black	276	61,054	91.14	3.62	0.67	3.62±0.67
435	Waiters and waitresses	6: Other	255	71,135	87.60	3.39	0.53	3.39±0.53
435	Waiters and waitresses	7: Hispanic	372	95,550	87.62	4.37	0.67	4.37±0.67
435	Waiters and waitresses	8: NonHispanic	4,462	1,147,900	89.10	4.39	0.23	4.39±0.23
436	Cooks	1: Total	6,414	1,587,227	91.64	4.60	0.21	4.60±0.21
436	Cooks	2: Male	2,992	783,771	93.26	4.15	0.31	4.15±0.31
436	Cooks	3: Female	3,422	803,457	90.07	4.90	0.28	4.90±0.28
436	Cooks	4: White	4,547	1,172,926	91.12	4.65	0.25	4.65±0.25
436	Cooks	5: Black	1,439	300,435	92.49	4.61	0.42	4.61±0.42
436	Cooks	6: Other	428	113,866	94.81	3.73	1.09	3.73±1.09
436	Cooks	7: Hispanic	808	209,332	94.00	5.16	0.74	5.16±0.74
436	Cooks	8: NonHispanic	5,606	1,377,895	91.29	4.54	0.22	4.54±0.22
438	Food counter/fountain/related occs	1: Total	695	176,859	90.93	4.66	0.60	4.66±0.60
438	Food counter/fountain/related occs	2: Male	168	45,699	93.83	6.23	1.90	6.23±1.90
438	Food counter/fountain/related occs	3: Female	527	131,160	89.92	4.32	0.70	4.32±0.70
438	Food counter/fountain/related occs	4: White	567	146,014	90.78	4.22	0.63	4.22±0.63
438	Food counter/fountain/related occs	5: Black	94	19,953	88.46	6.12	1.91	6.12±1.91
438	Food counter/fountain/related occs	6: Other	34	10,892	97.48	14.00	0.00	14.00±0.00
438	Food counter/fountain/related occs	7: Hispanic	67	17,933	92.09	4.36	1.77	4.36±1.77
438	Food counter/fountain/related occs	8: NonHispanic	628	158,926	90.80	4.69	0.59	4.69±0.59
439	Kitchen workers, food preparation	1: Total	789	192,563	93.30	5.89	0.72	5.89±0.72
439	Kitchen workers, food preparation	2: Male	228	57,965	94.64	7.87	2.07	7.87±2.07
439	Kitchen workers, food preparation	3: Female	561	134,598	92.73	5.27	0.76	5.27±0.76
439	Kitchen workers, food preparation	4: White	625	157,272	93.76	5.94	0.84	5.94±0.84
439	Kitchen workers, food preparation	5: Black	131	26,793	91.31	5.65	1.93	5.65±1.93
439	Kitchen workers, food preparation	6: Other	33	8,499	91.19	6.00	0.00	6.00±0.00
439	Kitchen workers, food preparation	7: Hispanic	110	27,503	95.34	7.55	2.42	7.55±2.42
439	Kitchen workers, food preparation	8: NonHispanic	679	165,061	92.96	5.71	0.75	5.71±0.75
443	Waiters/waitresses assistants	1: Total	1,045	264,739	91.16	3.48	0.43	3.48±0.43
443	Waiters/waitresses assistants	2: Male	518	136,888	92.79	3.46	0.64	3.46±0.64
443	Waiters/waitresses assistants	3: Female	527	127,851	89.42	3.49	0.49	3.49±0.49
443	Waiters/waitresses assistants	4: White	751	198,354	91.35	3.62	0.54	3.62±0.54
443	Waiters/waitresses assistants	5: Black	217	45,895	89.49	3.16	0.59	3.16±0.59
443	Waiters/waitresses assistants	6: Other	77	20,490	93.13	2.81	0.86	2.81±0.86
443	Waiters/waitresses assistants	7: Hispanic	219	57,751	92.82	3.44	1.20	3.44±1.20
443	Waiters/waitresses assistants	8: NonHispanic	826	206,988	90.70	3.48	0.42	3.48±0.42
444	Miscellaneous food preparation occs	1: Total	2,037	501,893	90.33	5.00	0.43	5.00±0.43
444	Miscellaneous food preparation occs	2: Male	828	215,820	90.78	3.93	0.65	3.93±0.65
444	Miscellaneous food preparation occs	3: Female	1,209	286,073	89.98	5.75	0.51	5.75±0.51
444	Miscellaneous food preparation occs	4: White	1,446	370,694	89.16	5.15	0.46	5.15±0.46
444	Miscellaneous food preparation occs	5: Black	483	99,163	93.75	3.45	0.81	3.45±0.81
444	Miscellaneous food preparation occs	6: Other	108	32,036	93.21	6.75	1.90	6.75±1.90
444	Miscellaneous food preparation occs	7: Hispanic	344	84,834	93.02	5.23	1.12	5.23±1.12
444	Miscellaneous food preparation occs	8: NonHispanic	1,693	417,059	89.78	4.97	0.45	4.97±0.45
445	Dental assistants	1: Total	693	176,208	91.73	2.99	0.38	2.99±0.38
445	Dental assistants	2: Male	10	2,344	100.00
445	Dental assistants	3: Female	683	173,864	91.62	2.99	0.38	2.99±0.38
445	Dental assistants	4: White	624	158,379	91.84	3.08	0.42	3.08±0.42
445	Dental assistants	5: Black	37	9,318	90.74	1.80	0.79	1.80±0.79
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	2.44	0.27	2.44±0.27
445	Dental assistants	8: NonHispanic	638	161,542	91.55	3.03	0.41	3.03±0.41
446	Health aides, except nursing	1: Total	1,368	333,037	88.01	5.11	0.42	5.11±0.42
446	Health aides, except nursing	2: Male	207	51,970	89.88	3.20	0.90	3.20±0.90
446	Health aides, except nursing	3: Female	1,161	281,067	87.66	5.40	0.44	5.40±0.44
446	Health aides, except nursing	4: White	1,007	257,471	87.39	4.97	0.46	4.97±0.46
446	Health aides, except nursing	5: Black	307	61,364	89.27	5.82	0.98	5.82±0.98
446	Health aides, except nursing	6: Other	54	14,202	93.82	4.86	2.95	4.86±2.95
446	Health aides, except nursing	7: Hispanic	111	28,147	88.72	3.58	0.67	3.58±0.67
446	Health aides, except nursing	8: NonHispanic	1,257	304,890	87.94	5.24	0.45	5.24±0.45
447	Nursing aides, orderlies, and attendants	1: Total	6,447	1,477,561	86.01	4.91	0.16	4.91±0.16
447	Nursing aides, orderlies, and attendants	2: Male	603	153,470	85.96	4.38	0.50	4.38±0.50
447	Nursing aides, orderlies, and attendants	3: Female	5,844	1,324,091	86.02	4.97	0.17	4.97±0.17
447	Nursing aides, orderlies, and attendants	4: White	3,846	961,155	85.32	4.83	0.21	4.83±0.21
447	Nursing aides, orderlies, and attendants	5: Black	2,377	458,338	87.08	5.23	0.26	5.23±0.26
447	Nursing aides, orderlies, and attendants	6: Other	224	58,068	89.09	3.62	0.89	3.62±0.89
447	Nursing aides, orderlies, and attendants	7: Hispanic	466	114,207	86.63	5.16	0.62	5.16±0.62
447	Nursing aides, orderlies, and attendants	8: NonHispanic	5,981	1,363,354	85.96	4.89	0.17	4.89±0.17
448	Supervisors, cleaning and building service workers	1: Total	661	159,703	91.74	5.50	0.72	5.50±0.72
448	Supervisors, cleaning and building service workers	2: Male	404	105,146	92.88	5.07	0.93	5.07±0.93
448	Supervisors, cleaning and building service workers	3: Female	257	54,556	89.56	6.07	1.01	6.07±1.01
448	Supervisors, cleaning and building service workers	4: White	446	114,658	91.57	5.44	0.86	5.44±0.86
448	Supervisors, cleaning and building service workers	5: Black	192	38,557	91.54	6.03	1.27	6.03±1.27
448	Supervisors, cleaning and building service workers	6: Other	23	6,487	96.07	1.00	0.00	1.00±0.00
448	Supervisors, cleaning and building service workers	7: Hispanic	66	16,618	95.97	4.44	3.10	4.44±3.10
448	Supervisors, cleaning and building service workers	8: NonHispanic	595	143,085	91.25	5.56	0.75	5.56±0.75
449	Maids and housemen	1: Total	2,366	551,376	90.04	4.54	0.30	4.54±0.30
449	Maids and housemen	2: Male	388	96,994	93.76	5.03	0.93	5.03±0.93
449	Maids and housemen	3: Female	1,978	454,381	89.24	4.48	0.32	4.48±0.32
449	Maids and housemen	4: White	1,409	354,519	89.44	4.71	0.41	4.71±0.41
449	Maids and housemen	5: Black	835	163,377	90.40	4.42	0.45	4.42±0.45
449	Maids and housemen	6: Other	122	33,480	94.66	1.92	0.49	1.92±0.49
449	Maids and housemen	7: Hispanic	367	92,528	92.14	4.12	0.78	4.12±0.78
449	Maids and housemen	8: NonHispanic	1,999	458,848	89.61	4.60	0.34	4.60±0.34
453	Janitors and cleaners	1: Total	8,601	2,067,101	90.27	5.21	0.19	5.21±0.19
453	Janitors and cleaners	2: Male	5,744	1,409,633	91.83	5.04	0.26	5.04±0.26
453	Janitors and cleaners	3: Female	2,857	657,468	86.92	5.43	0.31	5.43±0.31
453	Janitors and cleaners	4: White	5,982	1,517,278	89.81	5.10	0.23	5.10±0.23
453	Janitors and cleaners	5: Black	2,303	459,686	91.49	5.59	0.46	5.59±0.46
453	Janitors and cleaners	6: Other	316	90,137	91.74	5.43	0.88	5.43±0.88
453	Janitors and cleaners	7: Hispanic	1,123	282,343	91.91	5.31	0.58	5.31±0.58
453	Janitors and cleaners	8: NonHispanic	7,478	1,784,758	90.01	5.20	0.20	5.20±0.20
458	Hairdressers and cosmetologists	1: Total	2,972	741,546	92.09	4.73	0.27	4.73±0.27
458	Hairdressers and cosmetologists	2: Male	264	68,233	93.84	6.12	1.13	6.12±1.13
458	Hairdressers and cosmetologists	3: Female	2,708	673,312	91.92	4.62	0.29	4.62±0.29
458	Hairdressers and cosmetologists	4: White	2,544	648,508	92.00	4.78	0.30	4.78±0.30
458	Hairdressers and cosmetologists	5: Black	306	60,742	93.16	4.95	0.86	4.95±0.86
458	Hairdressers and cosmetologists	6: Other	122	32,296	92.00	3.45	1.36	3.45±1.36
458	Hairdressers and cosmetologists	7: Hispanic	192	51,330	91.94	5.46	1.10	5.46±1.10
458	Hairdressers and cosmetologists	8: NonHispanic	2,780	690,216	92.10	4.68	0.28	4.68±0.28
459	Attendants, amusement and recreation facilities	1: Total	442	120,428	92.25	4.90	0.79	4.90±0.79
459	Attendants, amusement and recreation facilities	2: Male	277	77,155	94.58	5.82	1.12	5.82±1.12
459	Attendants, amusement and recreation facilities	3: Female	165	43,272	88.11	4.15	0.85	4.15±0.85
459	Attendants, amusement and recreation facilities	4: White	374	102,381	94.03	4.55	1.06	4.55±1.06
459	Attendants, amusement and recreation facilities	5: Black	42	9,840	88.60	7.70	2.06	7.70±2.06
459	Attendants, amusement and recreation facilities	6: Other	26	8,206	74.52	4.41	1.02	4.41±1.02
459	Attendants, amusement and recreation facilities	7: Hispanic	28	6,990	87.00	4.02	0.88	4.02±0.88
459	Attendants, amusement and recreation facilities	8: NonHispanic	414	113,438	92.58	4.99	0.84	4.99±0.84
468	Child care workers	1: Total	3,537	855,757	89.63	4.15	0.20	4.15±0.20
468	Child care workers	2: Male	117	30,500	88.98	4.46	1.13	4.46±1.13
468	Child care workers	3: Female	3,420	825,256	89.66	4.13	0.20	4.13±0.20
468	Child care workers	4: White	2,892	724,662	90.02	3.86	0.22	3.86±0.22
468	Child care workers	5: Black	567	110,510	86.51	5.64	0.62	5.64±0.62
468	Child care workers	6: Other	78	20,585	92.76	3.07	0.75	3.07±0.75
468	Child care workers	7: Hispanic	268	65,679	90.80	3.10	0.52	3.10±0.52
468	Child care workers	8: NonHispanic	3,269	790,077	89.54	4.22	0.21	4.22±0.21
469	Personal service occs, ne.c.	1: Total	894	222,426	88.52	4.55	0.47	4.55±0.47
469	Personal service occs, ne.c.	2: Male	277	71,762	92.15	5.14	0.93	5.14±0.93
469	Personal service occs, ne.c.	3: Female	617	150,664	86.79	4.38	0.54	4.38±0.54
469	Personal service occs, ne.c.	4: White	675	177,821	87.48	4.60	0.52	4.60±0.52
469	Personal service occs, ne.c.	5: Black	185	36,056	92.66	4.53	0.55	4.53±0.55
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	89.87	5.25	1.28	5.25±1.28
469	Personal service occs, ne.c.	8: NonHispanic	800	198,082	88.36	4.48	0.50	4.48±0.50
473	Farmers, except horticultural	1: Total	4,899	1,166,644	93.82	6.27	0.32	6.27±0.32
473	Farmers, except horticultural	2: Male	4,077	975,641	93.95	6.47	0.34	6.47±0.34
473	Farmers, except horticultural	3: Female	822	191,002	93.17	5.40	0.64	5.40±0.64
473	Farmers, except horticultural	4: White	4,792	1,139,195	93.92	6.30	0.33	6.30±0.33
473	Farmers, except horticultural	5: Black	71	18,651	89.83	4.23	1.27	4.23±1.27
473	Farmers, except horticultural	6: Other	36	8,798	90.08	8.71	2.95	8.71±2.95
473	Farmers, except horticultural	7: Hispanic	88	22,847	91.42	5.31	1.19	5.31±1.19
473	Farmers, except horticultural	8: NonHispanic	4,811	1,143,797	93.87	6.30	0.33	6.30±0.33
475	Managers, farms, except horticultural	1: Total	692	167,631	92.60	6.99	0.73	6.99±0.73
475	Managers, farms, except horticultural	2: Male	568	139,372	93.78	7.02	0.84	7.02±0.84
475	Managers, farms, except horticultural	3: Female	124	28,260	86.82	6.94	1.32	6.94±1.32
475	Managers, farms, except horticultural	4: White	670	161,151	92.45	7.09	0.74	7.09±0.74
475	Managers, farms, except horticultural	5: Black	14	4,473	100.00
475	Managers, farms, except horticultural	6: Other	8	2,007	88.73	2.00	0.00	2.00±0.00
475	Managers, farms, except horticultural	7: Hispanic	52	12,531	98.09	14.00	0.00	14.00±0.00
475	Managers, farms, except horticultural	8: NonHispanic	640	155,100	92.16	6.85	0.73	6.85±0.73
479	Farm workers	1: Total	2,811	686,987	94.39	4.82	0.37	4.82±0.37
479	Farm workers	2: Male	2,210	544,374	94.69	4.34	0.39	4.34±0.39
479	Farm workers	3: Female	601	142,613	93.25	6.27	0.83	6.27±0.83
479	Farm workers	4: White	2,559	626,954	94.66	4.70	0.39	4.70±0.39
479	Farm workers	5: Black	209	50,321	91.22	5.09	0.75	5.09±0.75
479	Farm workers	6: Other	43	9,712	93.46	9.61	3.94	9.61±3.94
479	Farm workers	7: Hispanic	791	198,614	96.98	5.21	0.57	5.21±0.57
479	Farm workers	8: NonHispanic	2,020	488,373	93.34	4.75	0.43	4.75±0.43
485	Supervisors, related agricultural occs	1: Total	385	100,868	92.86	4.69	1.04	4.69±1.04
485	Supervisors, related agricultural occs	2: Male	352	92,700	93.43	4.74	1.17	4.74±1.17
485	Supervisors, related agricultural occs	3: Female	33	8,168	86.39	4.40	2.10	4.40±2.10
485	Supervisors, related agricultural occs	4: White	344	90,024	93.48	3.70	0.86	3.70±0.86
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	73.14	14.00	0.00	14.00±0.00
485	Supervisors, related agricultural occs	7: Hispanic	44	11,614	97.61	2.00	0.00	2.00±0.00
485	Supervisors, related agricultural occs	8: NonHispanic	341	89,254	92.24	4.80	1.08	4.80±1.08
486	Groundskeepers and gardeners, except farm	1: Total	2,502	632,818	92.89	5.84	0.40	5.84±0.40
486	Groundskeepers and gardeners, except farm	2: Male	2,322	588,437	92.73	5.99	0.41	5.99±0.41
486	Groundskeepers and gardeners, except farm	3: Female	180	44,381	94.93	3.06	1.02	3.06±1.02
486	Groundskeepers and gardeners, except farm	4: White	2,022	525,323	93.31	5.82	0.45	5.82±0.45
486	Groundskeepers and gardeners, except farm	5: Black	409	87,800	90.53	5.42	0.82	5.42±0.82
486	Groundskeepers and gardeners, except farm	6: Other	71	19,695	92.09	8.59	2.19	8.59±2.19
486	Groundskeepers and gardeners, except farm	7: Hispanic	464	117,128	96.08	5.70	1.24	5.70±1.24
486	Groundskeepers and gardeners, except farm	8: NonHispanic	2,038	515,690	92.16	5.86	0.41	5.86±0.41
496	Timber cutting and logging occs	1: Total	398	104,819	92.23	6.59	0.71	6.59±0.71
496	Timber cutting and logging occs	2: Male	384	101,439	92.24	6.33	0.70	6.33±0.70
496	Timber cutting and logging occs	3: Female	14	3,379	91.96	14.00	0.00	14.00±0.00
496	Timber cutting and logging occs	4: White	337	89,520	92.42	6.46	0.83	6.46±0.83
496	Timber cutting and logging occs	5: Black	59	14,842	90.83	7.22	1.39	7.22±1.39
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	92.02	6.59	0.71	6.59±0.71
503	Supervisors, mechanics and repairers	1: Total	1,106	282,895	92.72	4.68	0.51	4.68±0.51
503	Supervisors, mechanics and repairers	2: Male	1,033	265,131	92.54	4.52	0.50	4.52±0.50
503	Supervisors, mechanics and repairers	3: Female	73	17,764	95.40	8.33	2.73	8.33±2.73
503	Supervisors, mechanics and repairers	4: White	1,003	261,524	92.44	4.74	0.52	4.74±0.52
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	3.51	1.32	3.51±1.32
503	Supervisors, mechanics and repairers	7: Hispanic	46	12,316	96.43	12.01	1.41	12.01±1.41
503	Supervisors, mechanics and repairers	8: NonHispanic	1,060	270,579	92.55	4.52	0.49	4.52±0.49
505	Automobile mechanics	1: Total	3,553	924,831	92.20	4.08	0.23	4.08±0.23
505	Automobile mechanics	2: Male	3,504	911,752	92.31	3.97	0.23	3.97±0.23
505	Automobile mechanics	3: Female	49	13,079	84.52	7.79	1.65	7.79±1.65
505	Automobile mechanics	4: White	3,122	823,872	92.21	4.09	0.24	4.09±0.24
505	Automobile mechanics	5: Black	335	74,283	91.59	3.93	0.70	3.93±0.70
505	Automobile mechanics	6: Other	96	26,676	93.47	3.96	1.46	3.96±1.46
505	Automobile mechanics	7: Hispanic	312	84,143	93.37	3.96	0.79	3.96±0.79
505	Automobile mechanics	8: NonHispanic	3,241	840,688	92.08	4.08	0.23	4.08±0.23
507	Bus, truck, and stationary engine mechanics	1: Total	1,208	312,281	92.31	5.55	0.60	5.55±0.60
507	Bus, truck, and stationary engine mechanics	2: Male	1,196	309,444	92.50	5.71	0.61	5.71±0.61
507	Bus, truck, and stationary engine mechanics	3: Female	12	2,837	72.23	1.00	0.00	1.00±0.00
507	Bus, truck, and stationary engine mechanics	4: White	1,068	279,594	92.14	5.49	0.63	5.49±0.63
507	Bus, truck, and stationary engine mechanics	5: Black	121	26,549	93.29	6.56	2.32	6.56±2.32
507	Bus, truck, and stationary engine mechanics	6: Other	19	6,137	96.00	4.00	0.00	4.00±0.00
507	Bus, truck, and stationary engine mechanics	7: Hispanic	83	21,696	90.20	9.65	2.16	9.65±2.16
507	Bus, truck, and stationary engine mechanics	8: NonHispanic	1,125	290,585	92.47	5.16	0.60	5.16±0.60
508	Aircraft engine mechanics	1: Total	526	139,849	89.51	4.67	0.65	4.67±0.65
508	Aircraft engine mechanics	2: Male	511	136,446	89.75	4.37	0.61	4.37±0.61
508	Aircraft engine mechanics	3: Female	15	3,403	79.99	10.72	3.12	10.72±3.12
508	Aircraft engine mechanics	4: White	442	119,200	89.59	5.00	0.66	5.00±0.66
508	Aircraft engine mechanics	5: Black	59	13,166	85.04	2.78	1.61	2.78±1.61
508	Aircraft engine mechanics	6: Other	25	7,483	96.22	3.00	0.00	3.00±0.00
508	Aircraft engine mechanics	7: Hispanic	59	16,273	89.32	4.20	1.54	4.20±1.54
508	Aircraft engine mechanics	8: NonHispanic	467	123,576	89.54	4.73	0.71	4.73±0.71
514	Automobile body and related repairers	1: Total	751	194,183	92.61	3.77	0.49	3.77±0.49
514	Automobile body and related repairers	2: Male	737	190,848	92.70	3.68	0.48	3.68±0.48
514	Automobile body and related repairers	3: Female	14	3,336	87.48	6.56	3.18	6.56±3.18
514	Automobile body and related repairers	4: White	686	180,530	92.61	3.91	0.53	3.91±0.53
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	2.58	0.34	2.58±0.34
514	Automobile body and related repairers	8: NonHispanic	680	176,071	92.13	3.81	0.51	3.81±0.51
516	Heavy equipment mechanics	1: Total	626	162,026	93.78	4.26	0.85	4.26±0.85
516	Heavy equipment mechanics	2: Male	620	160,399	94.01	4.16	0.89	4.16±0.89
516	Heavy equipment mechanics	3: Female	6	1,627	71.44	6.47	0.35	6.47±0.35
516	Heavy equipment mechanics	4: White	570	148,046	93.61	3.91	0.78	3.91±0.78
516	Heavy equipment mechanics	5: Black	45	10,117	95.96	14.00	0.00	14.00±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	1.16	0.19	1.16±0.19
516	Heavy equipment mechanics	8: NonHispanic	588	152,082	94.23	4.72	0.84	4.72±0.84
518	Industrial machinery repairers	1: Total	1,664	423,173	92.52	4.90	0.42	4.90±0.42
518	Industrial machinery repairers	2: Male	1,603	407,439	92.46	4.79	0.43	4.79±0.43
518	Industrial machinery repairers	3: Female	61	15,734	94.17	8.59	1.74	8.59±1.74
518	Industrial machinery repairers	4: White	1,482	378,313	91.86	4.97	0.42	4.97±0.42
518	Industrial machinery repairers	5: Black	147	35,436	97.60	2.30	0.67	2.30±0.67
518	Industrial machinery repairers	6: Other	35	9,424	100.00
518	Industrial machinery repairers	7: Hispanic	117	29,582	94.26	4.22	1.79	4.22±1.79
518	Industrial machinery repairers	8: NonHispanic	1,547	393,591	92.39	4.94	0.45	4.94±0.45
523	Electronic repairers, communication/industrial equipment	1: Total	647	169,027	92.13	3.87	0.56	3.87±0.56
523	Electronic repairers, communication/industrial equipment	2: Male	582	153,324	92.09	3.72	0.59	3.72±0.59
523	Electronic repairers, communication/industrial equipment	3: Female	65	15,702	92.55	5.38	2.16	5.38±2.16
523	Electronic repairers, communication/industrial equipment	4: White	540	142,679	92.31	3.59	0.62	3.59±0.62
523	Electronic repairers, communication/industrial equipment	5: Black	89	21,472	89.14	5.17	1.14	5.17±1.14
523	Electronic repairers, communication/industrial equipment	6: Other	18	4,875	100.00
523	Electronic repairers, communication/industrial equipment	7: Hispanic	50	13,124	87.07	2.88	0.42	2.88±0.42
523	Electronic repairers, communication/industrial equipment	8: NonHispanic	597	155,903	92.56	4.01	0.65	4.01±0.65
529	Telephone installers and repairers	1: Total	644	162,838	93.62	5.27	0.68	5.27±0.68
529	Telephone installers and repairers	2: Male	567	144,286	93.78	5.12	0.72	5.12±0.72
529	Telephone installers and repairers	3: Female	77	18,552	92.32	6.17	1.90	6.17±1.90
529	Telephone installers and repairers	4: White	571	144,681	93.36	5.44	0.73	5.44±0.73
529	Telephone installers and repairers	5: Black	60	15,049	97.59	2.95	0.97	2.95±0.97
529	Telephone installers and repairers	6: Other	13	3,108	86.24	3.39	1.05	3.39±1.05
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	93.26	5.37	0.70	5.37±0.70
534	Heating air conditioning, and refrigeration mechanics	1: Total	848	225,091	90.46	4.47	0.48	4.47±0.48
534	Heating air conditioning, and refrigeration mechanics	2: Male	844	224,245	90.51	4.50	0.48	4.50±0.48
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	90.00	4.49	0.49	4.49±0.49
534	Heating air conditioning, and refrigeration mechanics	5: Black	46	11,777	96.30	1.36	0.33	1.36±0.33
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	8.51	3.89	8.51±3.89
534	Heating air conditioning, and refrigeration mechanics	8: NonHispanic	787	209,727	89.99	4.38	0.47	4.38±0.47
547	Specified mechanics and repairers	1: Total	994	257,127	90.84	5.89	0.52	5.89±0.52
547	Specified mechanics and repairers	2: Male	934	242,820	90.77	6.00	0.54	6.00±0.54
547	Specified mechanics and repairers	3: Female	60	14,307	92.11	3.76	0.69	3.76±0.69
547	Specified mechanics and repairers	4: White	874	227,503	91.00	5.90	0.54	5.90±0.54
547	Specified mechanics and repairers	5: Black	85	19,706	85.53	5.24	1.69	5.24±1.69
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	6.75	1.84	6.75±1.84
547	Specified mechanics and repairers	8: NonHispanic	909	235,507	90.62	5.84	0.55	5.84±0.55
549	Not specified mechanics and repairers	1: Total	982	254,196	91.86	6.06	0.63	6.06±0.63
549	Not specified mechanics and repairers	2: Male	923	240,104	92.37	6.31	0.69	6.31±0.69
549	Not specified mechanics and repairers	3: Female	59	14,091	83.11	4.14	1.61	4.14±1.61
549	Not specified mechanics and repairers	4: White	841	218,993	92.68	6.15	0.75	6.15±0.75
549	Not specified mechanics and repairers	5: Black	119	29,737	89.77	5.96	2.08	5.96±2.08
549	Not specified mechanics and repairers	6: Other	22	5,465	70.35	5.37	2.44	5.37±2.44
549	Not specified mechanics and repairers	7: Hispanic	81	20,810	83.50	4.14	1.31	4.14±1.31
549	Not specified mechanics and repairers	8: NonHispanic	901	233,386	92.60	6.44	0.74	6.44±0.74
558	Supervisors, construction	1: Total	1,970	509,017	93.49	4.55	0.45	4.55±0.45
558	Supervisors, construction	2: Male	1,938	501,602	93.57	4.55	0.44	4.55±0.44
558	Supervisors, construction	3: Female	32	7,415	87.76	4.52	2.77	4.52±2.77
558	Supervisors, construction	4: White	1,824	477,148	93.54	4.58	0.46	4.58±0.46
558	Supervisors, construction	5: Black	116	23,959	94.89	2.49	1.20	2.49±1.20
558	Supervisors, construction	6: Other	30	7,909	85.82	6.07	1.80	6.07±1.80
558	Supervisors, construction	7: Hispanic	124	33,067	93.26	4.67	1.58	4.67±1.58
558	Supervisors, construction	8: NonHispanic	1,846	475,950	93.50	4.55	0.46	4.55±0.46
563	Brickmasons and stonemasons	1: Total	699	179,883	93.22	5.38	0.73	5.38±0.73
563	Brickmasons and stonemasons	2: Male	695	178,943	93.19	5.38	0.73	5.38±0.73
563	Brickmasons and stonemasons	3: Female	4	940	100.00
563	Brickmasons and stonemasons	4: White	574	151,238	93.13	5.53	0.81	5.53±0.81
563	Brickmasons and stonemasons	5: Black	114	25,281	96.44	5.86	2.36	5.86±2.36
563	Brickmasons and stonemasons	6: Other	11	3,363	72.93	3.14	0.77	3.14±0.77
563	Brickmasons and stonemasons	7: Hispanic	61	15,571	94.20	4.77	1.52	4.77±1.52
563	Brickmasons and stonemasons	8: NonHispanic	638	164,312	93.13	5.42	0.79	5.42±0.79
567	Carpenters	1: Total	5,112	1,336,839	92.31	5.07	0.26	5.07±0.26
567	Carpenters	2: Male	5,047	1,320,133	92.31	5.07	0.27	5.07±0.27
567	Carpenters	3: Female	65	16,705	92.87	5.34	0.73	5.34±0.73
567	Carpenters	4: White	4,685	1,234,330	92.27	5.00	0.28	5.00±0.28
567	Carpenters	5: Black	337	75,647	93.61	6.16	0.91	6.16±0.91
567	Carpenters	6: Other	90	26,862	90.42	5.69	1.39	5.69±1.39
567	Carpenters	7: Hispanic	388	102,190	93.69	4.91	0.88	4.91±0.88
567	Carpenters	8: NonHispanic	4,724	1,234,649	92.20	5.08	0.27	5.08±0.27
573	Drywall installers	1: Total	512	137,655	92.39	4.74	0.77	4.74±0.77
573	Drywall installers	2: Male	496	134,036	92.51	4.42	0.76	4.42±0.76
573	Drywall installers	3: Female	16	3,619	87.80	12.05	1.41	12.05±1.41
573	Drywall installers	4: White	458	123,513	92.11	4.79	0.82	4.79±0.82
573	Drywall installers	5: Black	42	9,959	92.57	4.01	1.34	4.01±1.34
573	Drywall installers	6: Other	12	4,183	100.00
573	Drywall installers	7: Hispanic	81	23,712	93.22	2.14	0.47	2.14±0.47
573	Drywall installers	8: NonHispanic	431	113,944	92.21	5.21	0.87	5.21±0.87
575	Electricians	1: Total	2,416	626,998	92.37	5.50	0.39	5.50±0.39
575	Electricians	2: Male	2,364	615,184	92.60	5.59	0.41	5.59±0.41
575	Electricians	3: Female	52	11,815	80.11	3.75	1.22	3.75±1.22
575	Electricians	4: White	2,187	574,256	92.50	5.28	0.39	5.28±0.39
575	Electricians	5: Black	158	33,466	89.94	7.26	1.64	7.26±1.64
575	Electricians	6: Other	71	19,276	92.84	8.25	2.83	8.25±2.83
575	Electricians	7: Hispanic	159	40,665	93.30	4.85	2.51	4.85±2.51
575	Electricians	8: NonHispanic	2,257	586,333	92.31	5.54	0.40	5.54±0.40
579	Painters, construction and maintenance	1: Total	1,918	495,214	92.61	5.48	0.41	5.48±0.41
579	Painters, construction and maintenance	2: Male	1,784	461,048	92.59	5.55	0.41	5.55±0.41
579	Painters, construction and maintenance	3: Female	134	34,166	92.92	4.49	1.40	4.49±1.40
579	Painters, construction and maintenance	4: White	1,667	439,798	92.38	5.35	0.41	5.35±0.41
579	Painters, construction and maintenance	5: Black	208	43,566	92.94	6.91	1.58	6.91±1.58
579	Painters, construction and maintenance	6: Other	43	11,850	100.00
579	Painters, construction and maintenance	7: Hispanic	264	70,062	93.44	4.59	1.03	4.59±1.03
579	Painters, construction and maintenance	8: NonHispanic	1,654	425,152	92.48	5.61	0.43	5.61±0.43
585	Plumbers, pipefitters, and steamfitters	1: Total	1,623	419,839	91.93	4.99	0.43	4.99±0.43
585	Plumbers, pipefitters, and steamfitters	2: Male	1,599	414,524	92.18	4.87	0.42	4.87±0.42
585	Plumbers, pipefitters, and steamfitters	3: Female	24	5,314	71.83	7.56	2.73	7.56±2.73
585	Plumbers, pipefitters, and steamfitters	4: White	1,458	380,160	91.79	4.83	0.45	4.83±0.44
585	Plumbers, pipefitters, and steamfitters	5: Black	138	32,057	93.83	5.44	1.40	5.44±1.40
585	Plumbers, pipefitters, and steamfitters	6: Other	27	7,622	90.52	10.43	2.96	10.43±2.96
585	Plumbers, pipefitters, and steamfitters	7: Hispanic	116	30,643	94.55	5.87	3.02	5.87±3.02
585	Plumbers, pipefitters, and steamfitters	8: NonHispanic	1,507	389,196	91.72	4.94	0.43	4.94±0.43
595	Roofers	1: Total	613	158,847	92.56	6.67	0.76	6.67±0.76
595	Roofers	2: Male	605	156,840	92.74	6.74	0.79	6.74±0.79
595	Roofers	3: Female	8	2,007	78.50	5.00	0.00	5.00±0.00
595	Roofers	4: White	530	139,456	92.43	6.45	0.82	6.45±0.82
595	Roofers	5: Black	66	14,822	91.56	8.57	2.23	8.57±2.23
595	Roofers	6: Other	17	4,569	100.00
595	Roofers	7: Hispanic	91	22,136	94.61	8.04	2.70	8.04±2.70
595	Roofers	8: NonHispanic	522	136,711	92.23	6.52	0.79	6.52±0.79
599	Construction trades, nec.	1: Total	662	169,750	90.62	5.28	0.71	5.28±0.71
599	Construction trades, nec.	2: Male	651	167,215	90.83	5.11	0.73	5.11±0.73
599	Construction trades, nec.	3: Female	11	2,535	76.85	9.68	3.71	9.68±3.71
599	Construction trades, nec.	4: White	570	149,659	90.75	4.99	0.80	4.99±0.80
599	Construction trades, nec.	5: Black	81	17,411	88.74	6.79	1.25	6.79±1.25
599	Construction trades, nec.	6: Other	11	2,680	95.46	14.00	0.00	14.00±0.00
599	Construction trades, nec.	7: Hispanic	70	17,771	93.92	6.77	3.07	6.77±3.07
599	Construction trades, nec.	8: NonHispanic	592	151,980	90.23	5.17	0.73	5.17±0.73
628	Supervisors, production occs	1: Total	4,333	1,092,668	93.38	4.84	0.28	4.84±0.28
628	Supervisors, production occs	2: Male	3,581	914,717	93.58	4.78	0.31	4.78±0.31
628	Supervisors, production occs	3: Female	752	177,951	92.39	5.11	0.65	5.11±0.65
628	Supervisors, production occs	4: White	3,811	972,493	93.37	4.81	0.30	4.81±0.30
628	Supervisors, production occs	5: Black	425	94,927	92.66	4.25	0.82	4.25±0.82
628	Supervisors, production occs	6: Other	97	25,248	96.63	11.71	2.12	11.71±2.12
628	Supervisors, production occs	7: Hispanic	322	81,072	95.35	4.14	1.19	4.14±1.19
628	Supervisors, production occs	8: NonHispanic	4,011	1,011,596	93.23	4.88	0.30	4.88±0.30
634	Tool and die makers	1: Total	551	143,231	95.45	4.13	0.64	4.13±0.64
634	Tool and die makers	2: Male	540	140,484	95.37	4.13	0.64	4.13±0.64
634	Tool and die makers	3: Female	11	2,747	100.00
634	Tool and die makers	4: White	528	138,039	95.74	4.43	0.68	4.43±0.68
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	93.60	1.00	0.00	1.00±0.00
634	Tool and die makers	8: NonHispanic	537	139,821	95.50	4.24	0.65	4.24±0.65
637	Machinists	1: Total	2,049	522,513	91.14	4.83	0.39	4.83±0.39
637	Machinists	2: Male	1,949	499,347	91.23	4.75	0.41	4.75±0.41
637	Machinists	3: Female	100	23,166	89.21	6.19	1.26	6.19±1.26
637	Machinists	4: White	1,856	479,828	91.39	4.69	0.37	4.69±0.37
637	Machinists	5: Black	132	27,803	87.88	7.29	1.63	7.29±1.63
637	Machinists	6: Other	61	14,883	89.30	3.29	1.62	3.29±1.62
637	Machinists	7: Hispanic	135	34,779	89.26	3.55	0.89	3.54±0.89
637	Machinists	8: NonHispanic	1,914	487,734	91.28	4.94	0.42	4.94±0.42
653	Sheet metal workers	1: Total	549	143,964	92.01	4.91	0.73	4.91±0.73
653	Sheet metal workers	2: Male	505	133,631	92.38	5.17	0.79	5.17±0.79
653	Sheet metal workers	3: Female	44	10,332	87.21	2.90	1.10	2.90±1.10
653	Sheet metal workers	4: White	487	129,086	93.57	5.10	0.85	5.10±0.85
653	Sheet metal workers	5: Black	45	9,795	74.15	5.22	1.83	5.22±1.83
653	Sheet metal workers	6: Other	17	5,082	86.86	1.35	0.32	1.35±0.32
653	Sheet metal workers	7: Hispanic	39	9,645	85.70	5.18	1.84	5.18±1.84
653	Sheet metal workers	8: NonHispanic	510	134,318	92.46	4.87	0.75	4.87±0.75
666	Dressmakers	1: Total	499	123,787	90.08	4.46	0.72	4.46±0.72
666	Dressmakers	2: Male	29	7,254	89.08	7.66	3.38	7.66±3.38
666	Dressmakers	3: Female	470	116,533	90.14	4.23	0.72	4.23±0.72
666	Dressmakers	4: White	392	98,967	89.37	4.82	0.79	4.82±0.79
666	Dressmakers	5: Black	60	11,937	94.28	4.27	2.65	4.27±2.65
666	Dressmakers	6: Other	47	12,883	91.66	1.00	0.00	1.00±0.00
666	Dressmakers	7: Hispanic	66	16,560	91.97	3.53	1.38	3.53±1.38
666	Dressmakers	8: NonHispanic	433	107,227	89.79	4.57	0.79	4.57±0.79
683	Electrical/electronic equipment assemblers	1: Total	921	230,284	89.21	4.94	0.53	4.94±0.53
683	Electrical/electronic equipment assemblers	2: Male	279	71,527	92.50	3.94	0.76	3.94±0.76
683	Electrical/electronic equipment assemblers	3: Female	642	158,757	87.73	5.22	0.64	5.22±0.64
683	Electrical/electronic equipment assemblers	4: White	688	177,005	89.06	5.04	0.60	5.04±0.60
683	Electrical/electronic equipment assemblers	5: Black	130	27,767	84.90	5.00	1.47	5.00±1.47
683	Electrical/electronic equipment assemblers	6: Other	103	25,511	94.98	3.21	1.14	3.21±1.14
683	Electrical/electronic equipment assemblers	7: Hispanic	151	43,150	88.63	4.48	0.86	4.48±0.86
683	Electrical/electronic equipment assemblers	8: NonHispanic	770	187,134	89.35	5.05	0.60	5.05±0.60
686	Butchers and meat cutters	1: Total	844	213,405	92.68	5.58	0.58	5.58±0.58
686	Butchers and meat cutters	2: Male	660	170,028	94.11	5.57	0.67	5.57±0.67
686	Butchers and meat cutters	3: Female	184	43,376	87.09	5.60	0.94	5.60±0.94
686	Butchers and meat cutters	4: White	652	169,041	93.12	5.47	0.65	5.47±0.65
686	Butchers and meat cutters	5: Black	142	30,558	89.95	6.23	1.35	6.23±1.35
686	Butchers and meat cutters	6: Other	50	13,805	93.30	4.75	2.82	4.75±2.82
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	92.11	5.53	0.56	5.53±0.56
687	Bakers	1: Total	499	128,093	92.24	4.50	0.63	4.50±0.63
687	Bakers	2: Male	275	72,067	92.90	4.63	0.80	4.63±0.80
687	Bakers	3: Female	224	56,026	91.39	4.36	0.91	4.36±0.91
687	Bakers	4: White	408	104,895	91.50	4.23	0.65	4.23±0.65
687	Bakers	5: Black	58	13,101	94.17	5.75	2.21	5.75±2.21
687	Bakers	6: Other	33	10,096	97.39	10.00	0.00	10.00±0.00
687	Bakers	7: Hispanic	63	17,322	97.42	2.47	0.41	2.47±0.41
687	Bakers	8: NonHispanic	436	110,771	91.43	4.60	0.65	4.60±0.65
689	Inspectors, testers, and graders	1: Total	542	137,766	88.45	6.17	0.67	6.17±0.67
689	Inspectors, testers, and graders	2: Male	400	102,203	89.67	5.84	0.74	5.84±0.74
689	Inspectors, testers, and graders	3: Female	142	35,562	84.93	6.81	1.50	6.81±1.50
689	Inspectors, testers, and graders	4: White	453	116,868	87.78	6.21	0.75	6.21±0.75
689	Inspectors, testers, and graders	5: Black	64	13,777	92.95	6.09	1.77	6.09±1.77
689	Inspectors, testers, and graders	6: Other	25	7,121	90.70	5.39	3.32	5.39±3.32
689	Inspectors, testers, and graders	7: Hispanic	33	7,815	82.10	7.54	2.52	7.54±2.52
689	Inspectors, testers, and graders	8: NonHispanic	509	129,951	88.83	6.04	0.70	6.04±0.70
696	Stationary engineers	1: Total	593	149,560	91.11	4.30	0.54	4.30±0.54
696	Stationary engineers	2: Male	570	144,091	91.24	4.39	0.56	4.39±0.56
696	Stationary engineers	3: Female	23	5,468	87.73	2.62	0.32	2.62±0.32
696	Stationary engineers	4: White	508	131,075	90.43	4.13	0.54	4.13±0.54
696	Stationary engineers	5: Black	65	13,386	94.34	7.17	3.12	7.17±3.12
696	Stationary engineers	6: Other	20	5,098	100.00
696	Stationary engineers	7: Hispanic	23	7,371	93.85	1.55	0.35	1.55±0.35
696	Stationary engineers	8: NonHispanic	570	142,189	90.97	4.40	0.55	4.40±0.55
706	Punching and stamping press machine operators	1: Total	503	126,355	90.78	6.24	0.80	6.24±0.80
706	Punching and stamping press machine operators	2: Male	353	89,818	92.00	6.13	0.98	6.13±0.98
706	Punching and stamping press machine operators	3: Female	150	36,536	87.76	6.42	1.38	6.42±1.38
706	Punching and stamping press machine operators	4: White	435	112,659	91.12	6.28	0.89	6.28±0.89
706	Punching and stamping press machine operators	5: Black	61	12,003	87.12	5.97	1.75	5.97±1.75
706	Punching and stamping press machine operators	6: Other	7	1,693	94.14	6.00	0.00	6.00±0.00
706	Punching and stamping press machine operators	7: Hispanic	50	12,198	90.53	7.12	1.83	7.12±1.83
706	Punching and stamping press machine operators	8: NonHispanic	453	114,156	90.80	6.14	0.84	6.14±0.84
709	Grinding/abrading/buffing/polishing machine operators	1: Total	493	121,344	89.72	6.95	0.76	6.95±0.76
709	Grinding/abrading/buffing/polishing machine operators	2: Male	407	99,658	89.55	6.54	0.82	6.54±0.82
709	Grinding/abrading/buffing/polishing machine operators	3: Female	86	21,686	90.52	9.01	1.60	9.01±1.60
709	Grinding/abrading/buffing/polishing machine operators	4: White	419	105,584	89.77	7.08	0.84	7.08±0.84
709	Grinding/abrading/buffing/polishing machine operators	5: Black	64	13,419	87.58	6.12	2.24	6.12±2.24
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	3.53	0.94	3.53±0.94
709	Grinding/abrading/buffing/polishing machine operators	8: NonHispanic	435	105,934	88.81	7.13	0.80	7.13±0.80
719	Molding and casting machine operators	1: Total	412	103,758	88.60	5.53	0.61	5.53±0.61
719	Molding and casting machine operators	2: Male	300	76,325	89.39	5.52	0.80	5.52±0.80
719	Molding and casting machine operators	3: Female	112	27,432	86.40	5.55	1.08	5.55±1.08
719	Molding and casting machine operators	4: White	340	86,981	87.74	5.48	0.67	5.48±0.67
719	Molding and casting machine operators	5: Black	61	14,078	91.71	5.93	1.12	5.93±1.12
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	7.00	0.00	7.00±0.00
719	Molding and casting machine operators	8: NonHispanic	368	91,963	87.36	5.50	0.62	5.50±0.62
734	Printing press operators	1: Total	1,233	323,661	94.34	4.01	0.50	4.01±0.50
734	Printing press operators	2: Male	1,026	274,255	94.60	3.69	0.51	3.69±0.51
734	Printing press operators	3: Female	207	49,407	92.85	5.37	1.30	5.37±1.30
734	Printing press operators	4: White	1,066	284,389	93.96	3.71	0.48	3.71±0.48
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	11.52	0.35	11.52±0.35
734	Printing press operators	7: Hispanic	109	29,482	93.90	5.99	1.63	5.99±1.63
734	Printing press operators	8: NonHispanic	1,124	294,180	94.38	3.80	0.53	3.80±0.53
744	Textile sewing machine operators	1: Total	2,719	656,092	91.89	5.44	0.34	5.44±0.34
744	Textile sewing machine operators	2: Male	257	65,258	94.86	4.27	0.94	4.27±0.94
744	Textile sewing machine operators	3: Female	2,462	590,833	91.56	5.52	0.36	5.52±0.36
744	Textile sewing machine operators	4: White	1,900	475,318	91.34	5.37	0.41	5.37±0.41
744	Textile sewing machine operators	5: Black	600	125,913	92.33	5.79	0.76	5.79±0.76
744	Textile sewing machine operators	6: Other	219	54,860	95.64	5.26	1.62	5.26±1.62
744	Textile sewing machine operators	7: Hispanic	519	125,255	91.81	5.45	0.84	5.45±0.84
744	Textile sewing machine operators	8: NonHispanic	2,200	530,836	91.90	5.44	0.35	5.44±0.35
747	Pressing machine operators	1: Total	568	131,707	91.59	4.64	0.53	4.64±0.53
747	Pressing machine operators	2: Male	201	48,482	93.72	4.44	1.29	4.44±1.29
747	Pressing machine operators	3: Female	367	83,225	90.36	4.72	0.66	4.72±0.66
747	Pressing machine operators	4: White	349	89,223	91.10	4.61	0.66	4.61±0.66
747	Pressing machine operators	5: Black	189	35,105	91.09	4.73	0.82	4.73±0.82
747	Pressing machine operators	6: Other	30	7,379	100.00
747	Pressing machine operators	7: Hispanic	94	21,240	94.58	6.93	1.96	6.93±1.96
747	Pressing machine operators	8: NonHispanic	474	110,467	91.02	4.38	0.52	4.38±0.52
748	Laundering and dry cleaning machine operators	1: Total	734	174,095	91.77	4.65	0.53	4.65±0.53
748	Laundering and dry cleaning machine operators	2: Male	281	70,523	93.57	5.40	1.19	5.40±1.19
748	Laundering and dry cleaning machine operators	3: Female	453	103,572	90.54	4.30	0.64	4.30±0.64
748	Laundering and dry cleaning machine operators	4: White	501	127,444	91.23	4.66	0.62	4.66±0.62
748	Laundering and dry cleaning machine operators	5: Black	201	37,646	92.13	4.82	1.39	4.82±1.39
748	Laundering and dry cleaning machine operators	6: Other	32	9,005	97.94	1.00	0.00	1.00±0.00
748	Laundering and dry cleaning machine operators	7: Hispanic	108	26,935	95.66	6.93	2.45	6.93±2.45
748	Laundering and dry cleaning machine operators	8: NonHispanic	626	147,160	91.06	4.45	0.53	4.45±0.53
754	Packaging and filling machine operators	1: Total	1,556	381,818	91.43	4.88	0.49	4.88±0.49
754	Packaging and filling machine operators	2: Male	551	143,451	89.96	4.47	0.66	4.47±0.66
754	Packaging and filling machine operators	3: Female	1,005	238,367	92.31	5.20	0.60	5.20±0.60
754	Packaging and filling machine operators	4: White	1,197	300,360	91.42	4.99	0.55	4.99±0.55
754	Packaging and filling machine operators	5: Black	287	61,369	91.24	4.25	1.05	4.25±1.05
754	Packaging and filling machine operators	6: Other	72	20,088	92.20	5.18	1.96	5.18±1.96
754	Packaging and filling machine operators	7: Hispanic	326	81,690	93.40	2.84	0.52	2.84±0.52
754	Packaging and filling machine operators	8: NonHispanic	1,230	300,127	90.89	5.28	0.55	5.28±0.55
756	Mixing and blending machine operators	1: Total	491	123,593	91.25	5.97	0.92	5.97±0.92
756	Mixing and blending machine operators	2: Male	430	108,557	91.66	6.23	1.10	6.23±1.10
756	Mixing and blending machine operators	3: Female	61	15,036	88.35	4.61	1.26	4.61±1.26
756	Mixing and blending machine operators	4: White	389	101,261	90.42	5.99	1.01	5.99±1.01
756	Mixing and blending machine operators	5: Black	94	20,328	94.55	5.80	2.30	5.80±2.30
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	90.47	6.18	0.94	6.18±0.94
759	Painting and paint spraying machine operators	1: Total	734	184,736	92.52	4.56	0.69	4.56±0.69
759	Painting and paint spraying machine operators	2: Male	621	157,929	92.65	4.27	0.68	4.27±0.68
759	Painting and paint spraying machine operators	3: Female	113	26,807	91.75	6.09	1.99	6.09±1.99
759	Painting and paint spraying machine operators	4: White	595	152,631	92.72	4.83	0.83	4.83±0.83
759	Painting and paint spraying machine operators	5: Black	111	24,561	91.99	4.15	0.82	4.15±0.82
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	93.68	5.32	1.68	5.32±1.68
759	Painting and paint spraying machine operators	8: NonHispanic	608	153,193	92.28	4.44	0.72	4.44±0.72
769	Slicing and cutting machine operators	1: Total	821	204,112	92.38	5.07	0.68	5.07±0.68
769	Slicing and cutting machine operators	2: Male	570	144,479	93.39	4.83	0.83	4.83±0.83
769	Slicing and cutting machine operators	3: Female	251	59,633	89.92	5.45	1.14	5.45±1.14
769	Slicing and cutting machine operators	4: White	641	163,199	92.08	4.66	0.75	4.66±0.75
769	Slicing and cutting machine operators	5: Black	146	31,649	93.27	6.88	1.94	6.88±1.94
769	Slicing and cutting machine operators	6: Other	34	9,264	94.46	7.83	4.24	7.83±4.24
769	Slicing and cutting machine operators	7: Hispanic	119	31,205	92.44	2.09	0.40	2.09±0.40
769	Slicing and cutting machine operators	8: NonHispanic	702	172,907	92.37	5.60	0.79	5.60±0.79
777	Miscellaneous machine operators	1: Total	3,648	912,207	91.61	5.69	0.31	5.69±0.31
777	Miscellaneous machine operators	2: Male	2,457	629,255	92.68	5.44	0.41	5.44±0.41
777	Miscellaneous machine operators	3: Female	1,191	282,952	89.25	6.07	0.47	6.07±0.47
777	Miscellaneous machine operators	4: White	2,831	728,381	91.60	5.34	0.33	5.34±0.33
777	Miscellaneous machine operators	5: Black	678	148,646	90.71	7.23	0.77	7.23±0.77
777	Miscellaneous machine operators	6: Other	139	35,180	95.79	5.77	2.12	5.77±2.12
777	Miscellaneous machine operators	7: Hispanic	466	117,840	93.55	6.73	0.79	6.73±0.79
777	Miscellaneous machine operators	8: NonHispanic	3,182	794,367	91.33	5.58	0.32	5.58±0.32
779	Machine operators, not specified	1: Total	2,122	528,820	91.14	4.89	0.31	4.89±0.31
779	Machine operators, not specified	2: Male	1,427	362,688	92.96	5.24	0.45	5.24±0.45
779	Machine operators, not specified	3: Female	695	166,133	87.19	4.47	0.42	4.47±0.42
779	Machine operators, not specified	4: White	1,672	425,180	91.41	4.70	0.34	4.70±0.34
779	Machine operators, not specified	5: Black	383	84,933	89.53	5.06	0.85	5.06±0.85
779	Machine operators, not specified	6: Other	67	18,707	92.36	8.70	2.75	8.70±2.75
779	Machine operators, not specified	7: Hispanic	217	55,980	95.77	2.67	0.81	2.67±0.81
779	Machine operators, not specified	8: NonHispanic	1,905	472,840	90.60	5.01	0.33	5.01±0.33
783	Welders and cutters	1: Total	2,341	597,287	90.98	4.56	0.33	4.56±0.33
783	Welders and cutters	2: Male	2,229	570,138	91.25	4.31	0.32	4.31±0.32
783	Welders and cutters	3: Female	112	27,148	85.31	7.66	1.57	7.66±1.57
783	Welders and cutters	4: White	2,032	523,193	91.12	4.30	0.34	4.30±0.34
783	Welders and cutters	5: Black	245	56,454	90.46	6.99	1.20	6.99±1.20
783	Welders and cutters	6: Other	64	17,640	88.55	4.12	1.43	4.12±1.43
783	Welders and cutters	7: Hispanic	256	65,552	94.71	3.52	0.79	3.52±0.79
783	Welders and cutters	8: NonHispanic	2,085	531,734	90.52	4.63	0.35	4.63±0.35
785	Assemblers	1: Total	4,153	1,026,023	89.42	5.05	0.24	5.05±0.24
785	Assemblers	2: Male	2,189	553,313	91.11	4.73	0.32	4.73±0.32
785	Assemblers	3: Female	1,964	472,709	87.43	5.31	0.31	5.31±0.31
785	Assemblers	4: White	3,268	828,216	89.53	4.87	0.26	4.87±0.26
785	Assemblers	5: Black	694	149,750	86.90	5.92	0.56	5.92±0.56
785	Assemblers	6: Other	191	48,057	95.31	4.23	1.29	4.23±1.29
785	Assemblers	7: Hispanic	488	119,226	92.11	5.32	0.80	5.32±0.80
785	Assemblers	8: NonHispanic	3,665	906,797	89.06	5.02	0.25	5.02±0.25
796	Production inspectors, checkers, and examiners	1: Total	2,306	571,665	90.18	5.76	0.37	5.76±0.37
796	Production inspectors, checkers, and examiners	2: Male	1,011	259,447	92.12	5.62	0.70	5.62±0.70
796	Production inspectors, checkers, and examiners	3: Female	1,295	312,218	88.56	5.84	0.46	5.84±0.46
796	Production inspectors, checkers, and examiners	4: White	1,836	465,378	90.75	5.51	0.44	5.51±0.44
796	Production inspectors, checkers, and examiners	5: Black	374	82,496	87.25	6.66	1.11	6.66±1.11
796	Production inspectors, checkers, and examiners	6: Other	96	23,790	89.06	6.21	1.60	6.21±1.60
796	Production inspectors, checkers, and examiners	7: Hispanic	220	55,311	93.92	5.36	1.26	5.36±1.26
796	Production inspectors, checkers, and examiners	8: NonHispanic	2,086	516,354	89.77	5.78	0.40	5.78±0.40
799	Graders and sorters, except agricultural	1: Total	529	125,068	92.12	4.23	0.95	4.23±0.95
799	Graders and sorters, except agricultural	2: Male	209	51,576	93.13	3.92	0.83	3.92±0.83
799	Graders and sorters, except agricultural	3: Female	320	73,492	91.40	4.40	1.39	4.40±1.39
799	Graders and sorters, except agricultural	4: White	388	94,950	91.69	4.35	1.16	4.35±1.16
799	Graders and sorters, except agricultural	5: Black	116	23,863	92.59	3.05	0.73	3.05±0.73
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	92.21	7.87	2.39	7.87±2.39
799	Graders and sorters, except agricultural	8: NonHispanic	404	95,361	92.09	3.11	0.52	3.11±0.52
804	Truck drivers	1: Total	10,449	2,640,585	92.49	6.00	0.20	6.00±0.20
804	Truck drivers	2: Male	9,987	2,528,749	92.75	6.01	0.22	6.01±0.22
804	Truck drivers	3: Female	462	111,836	86.66	5.93	0.60	5.93±0.60
804	Truck drivers	4: White	8,690	2,232,215	92.64	5.92	0.23	5.92±0.23
804	Truck drivers	5: Black	1,567	356,271	91.83	6.46	0.50	6.46±0.50
804	Truck drivers	6: Other	192	52,099	90.46	6.19	0.94	6.19±0.94
804	Truck drivers	7: Hispanic	784	207,490	92.01	5.79	0.73	5.79±0.73
804	Truck drivers	8: NonHispanic	9,665	2,433,095	92.53	6.02	0.22	6.02±0.22
806	Driver-sales workers	1: Total	570	146,319	94.77	5.45	1.00	5.45±1.00
806	Driver-sales workers	2: Male	509	131,897	95.18	5.66	1.22	5.66±1.22
806	Driver-sales workers	3: Female	61	14,422	91.00	4.40	1.23	4.40±1.23
806	Driver-sales workers	4: White	525	135,799	94.53	5.55	1.03	5.55±1.03
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	94.55	5.58	1.06	5.58±1.06
808	Bus drivers	1: Total	1,845	437,321	90.98	6.13	0.39	6.13±0.39
808	Bus drivers	2: Male	939	223,457	92.52	5.40	0.63	5.40±0.63
808	Bus drivers	3: Female	906	213,865	89.37	6.67	0.48	6.67±0.48
808	Bus drivers	4: White	1,283	322,937	91.34	6.11	0.53	6.11±0.53
808	Bus drivers	5: Black	521	103,439	88.89	6.19	0.62	6.19±0.62
808	Bus drivers	6: Other	41	10,945	100.00
808	Bus drivers	7: Hispanic	114	28,360	90.87	9.73	1.78	9.73±1.78
808	Bus drivers	8: NonHispanic	1,731	408,961	90.99	5.88	0.39	5.88±0.39
809	Taxicab drivers and chauffeurs	1: Total	777	198,640	91.94	5.76	0.69	5.76±0.69
809	Taxicab drivers and chauffeurs	2: Male	669	173,020	92.06	5.85	0.73	5.85±0.73
809	Taxicab drivers and chauffeurs	3: Female	108	25,620	91.15	5.23	1.91	5.23±1.91
809	Taxicab drivers and chauffeurs	4: White	504	132,486	90.33	5.56	0.76	5.56±0.76
809	Taxicab drivers and chauffeurs	5: Black	213	48,374	93.39	6.59	1.26	6.59±1.26
809	Taxicab drivers and chauffeurs	6: Other	60	17,779	100.00
809	Taxicab drivers and chauffeurs	7: Hispanic	77	21,138	90.68	3.85	0.72	3.85±0.72
809	Taxicab drivers and chauffeurs	8: NonHispanic	700	177,502	92.09	6.03	0.76	6.03±0.76
844	Operating engineers	1: Total	986	253,326	93.74	4.75	0.57	4.75±0.57
844	Operating engineers	2: Male	968	247,849	93.60	4.75	0.57	4.75±0.57
844	Operating engineers	3: Female	18	5,477	100.00
844	Operating engineers	4: White	870	225,841	93.59	4.71	0.60	4.71±0.60
844	Operating engineers	5: Black	89	20,881	94.63	5.90	2.26	5.90±2.26
844	Operating engineers	6: Other	27	6,605	95.95	2.00	0.00	2.00±0.00
844	Operating engineers	7: Hispanic	60	14,692	95.30	6.49	3.05	6.49±3.05
844	Operating engineers	8: NonHispanic	926	238,634	93.64	4.67	0.55	4.67±0.55
856	Industrial truck and tractor equipment operators	1: Total	1,816	450,241	91.57	5.77	0.43	5.77±0.43
856	Industrial truck and tractor equipment operators	2: Male	1,704	424,058	91.99	5.74	0.45	5.74±0.45
856	Industrial truck and tractor equipment operators	3: Female	112	26,183	84.69	6.01	1.23	6.01±1.23
856	Industrial truck and tractor equipment operators	4: White	1,404	355,429	91.47	5.82	0.47	5.82±0.47
856	Industrial truck and tractor equipment operators	5: Black	386	87,722	91.50	5.66	1.06	5.66±1.06
856	Industrial truck and tractor equipment operators	6: Other	26	7,090	97.12	2.00	0.00	2.00±0.00
856	Industrial truck and tractor equipment operators	7: Hispanic	200	50,177	92.60	7.02	1.63	7.02±1.63
856	Industrial truck and tractor equipment operators	8: NonHispanic	1,616	400,064	91.44	5.63	0.43	5.63±0.43
859	Miscellaneous material moving equipment operators	1: Total	456	117,109	90.51	5.87	1.04	5.87±1.04
859	Miscellaneous material moving equipment operators	2: Male	377	98,087	89.88	5.58	0.92	5.58±0.92
859	Miscellaneous material moving equipment operators	3: Female	79	19,023	93.74	8.25	3.42	8.25±3.42
859	Miscellaneous material moving equipment operators	4: White	372	96,955	90.08	6.16	1.10	6.16±1.10
859	Miscellaneous material moving equipment operators	5: Black	72	16,993	94.25	5.55	2.87	5.55±2.87
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	95.46	10.00	0.00	10.00±0.00
859	Miscellaneous material moving equipment operators	8: NonHispanic	418	107,369	90.06	5.70	1.09	5.70±1.09
869	Construction laborers	1: Total	2,707	697,191	93.07	6.10	0.39	6.10±0.39
869	Construction laborers	2: Male	2,625	676,315	93.20	6.11	0.41	6.11±0.41
869	Construction laborers	3: Female	82	20,877	88.83	5.91	0.54	5.91±0.54
869	Construction laborers	4: White	2,216	585,900	92.95	5.99	0.44	5.99±0.44
869	Construction laborers	5: Black	440	97,045	93.77	6.54	1.07	6.54±1.07
869	Construction laborers	6: Other	51	14,246	93.33	7.99	4.00	7.99±4.00
869	Construction laborers	7: Hispanic	427	111,458	94.94	6.67	1.31	6.67±1.31
869	Construction laborers	8: NonHispanic	2,280	585,733	92.71	6.03	0.39	6.03±0.39
877	Stock handlers and baggers	1: Total	2,534	650,044	92.38	4.65	0.33	4.65±0.33
877	Stock handlers and baggers	2: Male	1,724	449,704	93.06	4.98	0.46	4.98±0.46
877	Stock handlers and baggers	3: Female	810	200,340	90.86	4.10	0.43	4.10±0.43
877	Stock handlers and baggers	4: White	2,113	550,640	92.35	4.52	0.36	4.52±0.36
877	Stock handlers and baggers	5: Black	345	77,266	91.71	5.13	0.92	5.13±0.92
877	Stock handlers and baggers	6: Other	76	22,138	95.45	7.06	2.65	7.06±2.65
877	Stock handlers and baggers	7: Hispanic	257	66,614	92.19	5.35	1.57	5.35±1.57
877	Stock handlers and baggers	8: NonHispanic	2,277	583,430	92.40	4.57	0.36	4.57±0.36
883	Freight, stock, and material handlers, nec.	1: Total	2,235	571,810	91.19	4.57	0.35	4.57±0.35
883	Freight, stock, and material handlers, nec.	2: Male	1,967	508,323	90.99	4.52	0.37	4.52±0.37
883	Freight, stock, and material handlers, nec.	3: Female	268	63,486	92.75	5.09	0.93	5.09±0.93
883	Freight, stock, and material handlers, nec.	4: White	1,724	450,810	91.11	4.31	0.41	4.31±0.41
883	Freight, stock, and material handlers, nec.	5: Black	455	105,087	92.14	5.48	0.95	5.48±0.95
883	Freight, stock, and material handlers, nec.	6: Other	56	15,913	87.13	5.95	1.42	5.95±1.42
883	Freight, stock, and material handlers, nec.	7: Hispanic	194	50,866	92.85	5.90	1.20	5.90±1.20
883	Freight, stock, and material handlers, nec.	8: NonHispanic	2,041	520,944	91.02	4.47	0.37	4.47±0.37
885	Garage and service station related occs	1: Total	611	158,092	93.06	5.35	0.87	5.35±0.87
885	Garage and service station related occs	2: Male	571	147,764	93.69	5.36	0.95	5.36±0.95
885	Garage and service station related occs	3: Female	40	10,328	84.09	5.30	2.12	5.30±2.12
885	Garage and service station related occs	4: White	517	138,660	92.89	5.13	0.91	5.13±0.91
885	Garage and service station related occs	5: Black	83	16,431	95.79	10.60	1.77	10.60±1.77
885	Garage and service station related occs	6: Other	11	3,002	85.91	2.00	0.00	2.00±0.00
885	Garage and service station related occs	7: Hispanic	65	18,420	92.60	3.09	2.42	3.09±2.42
885	Garage and service station related occs	8: NonHispanic	546	139,673	93.12	5.67	0.83	5.67±0.83
887	Vehicle washers and equipment cleaners	1: Total	676	167,519	92.47	4.65	0.63	4.65±0.63
887	Vehicle washers and equipment cleaners	2: Male	590	147,892	92.78	4.10	0.64	4.10±0.64
887	Vehicle washers and equipment cleaners	3: Female	86	19,627	90.08	7.62	1.77	7.62±1.77
887	Vehicle washers and equipment cleaners	4: White	483	125,081	91.91	4.69	0.73	4.69±0.73
887	Vehicle washers and equipment cleaners	5: Black	176	38,325	93.73	4.45	1.08	4.45±1.08
887	Vehicle washers and equipment cleaners	6: Other	17	4,113	97.75	5.00	0.00	5.00±0.00
887	Vehicle washers and equipment cleaners	7: Hispanic	90	23,866	93.53	2.94	1.38	2.94±1.38
887	Vehicle washers and equipment cleaners	8: NonHispanic	586	143,653	92.29	4.88	0.68	4.88±0.68
888	Hand packers and packagers	1: Total	1,009	245,670	91.04	5.02	0.53	5.02±0.53
888	Hand packers and packagers	2: Male	349	87,741	91.56	4.26	0.77	4.26±0.77
888	Hand packers and packagers	3: Female	660	157,929	90.75	5.40	0.67	5.40±0.67
888	Hand packers and packagers	4: White	779	195,457	90.71	5.32	0.55	5.32±0.55
888	Hand packers and packagers	5: Black	185	38,411	93.79	2.63	0.88	2.63±0.88
888	Hand packers and packagers	6: Other	45	11,801	87.54	5.16	2.12	5.16±2.12
888	Hand packers and packagers	7: Hispanic	147	36,892	91.50	5.21	1.42	5.21±1.42
888	Hand packers and packagers	8: NonHispanic	862	208,778	90.96	4.99	0.60	4.99±0.60
889	Laborers, except construction	1: Total	5,004	1,250,422	90.88	5.05	0.22	5.05±0.22
889	Laborers, except construction	2: Male	3,858	981,803	91.60	4.82	0.28	4.82±0.28
889	Laborers, except construction	3: Female	1,146	268,620	88.25	5.63	0.44	5.63±0.44
889	Laborers, except construction	4: White	3,872	994,022	90.84	4.92	0.25	4.92±0.25
889	Laborers, except construction	5: Black	984	216,372	90.49	5.81	0.60	5.81±0.60
889	Laborers, except construction	6: Other	148	40,029	94.16	3.18	0.56	3.18±0.56
889	Laborers, except construction	7: Hispanic	543	138,228	91.98	4.70	0.68	4.70±0.68
889	Laborers, except construction	8: NonHispanic	4,461	1,112,194	90.75	5.09	0.24	5.09±0.24