Table 10. Average Number of Self Reported Health Conditions (> 1) by 206 Occupations
					Health Status
	Occupation 206 Classes	Group	Sample Size	Population Estimates	Estimated Prevelance of  0 Health Conditions reported	Average # conditions reported among participants reporting at least 1 Health Condition	Standard Error of # Health Conditions	X+SE
5	Administrators/officials, public administration	1: Total	1,737	434,916	55.68	1.66	0.04	1.66±0.04
5	Administrators/officials, public administration	2: Male	917	237,832	57.67	1.61	0.05	1.61±0.05
5	Administrators/officials, public administration	3: Female	820	197,084	53.29	1.71	0.07	1.71±0.07
5	Administrators/officials, public administration	4: White	1,490	377,045	55.86	1.69	0.05	1.69±0.05
5	Administrators/officials, public administration	5: Black	184	40,408	55.85	1.46	0.11	1.46±0.11
5	Administrators/officials, public administration	6: Other	63	17,464	51.51	1.46	0.11	1.46±0.11
5	Administrators/officials, public administration	7: Hispanic	75	19,368	55.12	1.64	0.18	1.64±0.18
5	Administrators/officials, public administration	8: NonHispanic	1,662	415,549	55.71	1.66	0.04	1.66±0.04
7	Financial managers	1: Total	2,050	516,489	64.55	1.54	0.05	1.54±0.05
7	Financial managers	2: Male	1,122	290,553	67.62	1.54	0.07	1.54±0.07
7	Financial managers	3: Female	928	225,936	60.61	1.54	0.04	1.54±0.04
7	Financial managers	4: White	1,866	470,184	63.55	1.55	0.05	1.55±0.05
7	Financial managers	5: Black	116	27,663	71.83	1.52	0.15	1.52±0.15
7	Financial managers	6: Other	68	18,642	79.08	1.37	0.19	1.37±0.19
7	Financial managers	7: Hispanic	93	23,398	74.32	1.50	0.15	1.50±0.15
7	Financial managers	8: NonHispanic	1,957	493,091	64.09	1.54	0.05	1.54±0.05
8	Personnel and labor relations managers	1: Total	569	145,879	58.94	1.52	0.05	1.52±0.05
8	Personnel and labor relations managers	2: Male	272	70,491	56.90	1.46	0.08	1.46±0.08
8	Personnel and labor relations managers	3: Female	297	75,389	60.84	1.58	0.08	1.58±0.08
8	Personnel and labor relations managers	4: White	514	133,270	57.87	1.51	0.06	1.51±0.06
8	Personnel and labor relations managers	5: Black	45	9,918	64.55	1.64	0.20	1.64±0.20
8	Personnel and labor relations managers	6: Other	10	2,691	91.36	1.00	0.00	1.00±0.00
8	Personnel and labor relations managers	7: Hispanic	19	4,976	46.35	1.24	0.16	1.24±0.16
8	Personnel and labor relations managers	8: NonHispanic	550	140,903	59.38	1.53	0.06	1.53±0.06
9	Purchasing managers	1: Total	479	122,582	57.99	1.63	0.06	1.63±0.06
9	Purchasing managers	2: Male	305	80,853	62.36	1.72	0.10	1.72±0.10
9	Purchasing managers	3: Female	174	41,729	49.52	1.51	0.07	1.51±0.07
9	Purchasing managers	4: White	424	108,587	56.57	1.63	0.07	1.63±0.07
9	Purchasing managers	5: Black	41	10,684	68.43	1.78	0.19	1.78±0.19
9	Purchasing managers	6: Other	14	3,311	70.62	1.51	0.25	1.51±0.25
9	Purchasing managers	7: Hispanic	7	1,684	43.08	1.77	0.66	1.77±0.66
9	Purchasing managers	8: NonHispanic	472	120,898	58.19	1.63	0.06	1.63±0.06
13	Managers/marketing/advertising/PR	1: Total	2,502	637,557	62.40	1.54	0.03	1.54±0.03
13	Managers/marketing/advertising/PR	2: Male	1,694	435,903	65.55	1.46	0.04	1.46±0.04
13	Managers/marketing/advertising/PR	3: Female	808	201,654	55.57	1.69	0.07	1.69±0.07
13	Managers/marketing/advertising/PR	4: White	2,358	598,994	61.80	1.55	0.03	1.55±0.03
13	Managers/marketing/advertising/PR	5: Black	95	24,634	69.16	1.67	0.17	1.67±0.17
13	Managers/marketing/advertising/PR	6: Other	49	13,929	76.15	1.15	0.12	1.15±0.12
13	Managers/marketing/advertising/PR	7: Hispanic	90	24,947	58.16	1.47	0.10	1.47±0.10
13	Managers/marketing/advertising/PR	8: NonHispanic	2,412	612,611	62.57	1.55	0.03	1.55±0.03
14	Administrators, education and related fields	1: Total	2,131	532,733	57.04	1.55	0.03	1.55±0.03
14	Administrators, education and related fields	2: Male	980	250,290	57.26	1.55	0.04	1.55±0.04
14	Administrators, education and related fields	3: Female	1,151	282,442	56.84	1.55	0.04	1.55±0.04
14	Administrators, education and related fields	4: White	1,832	463,963	56.49	1.57	0.03	1.57±0.03
14	Administrators, education and related fields	5: Black	261	58,624	59.16	1.43	0.09	1.43±0.09
14	Administrators, education and related fields	6: Other	38	10,146	69.76	1.43	0.18	1.43±0.18
14	Administrators, education and related fields	7: Hispanic	82	20,122	62.64	1.66	0.17	1.66±0.17
14	Administrators, education and related fields	8: NonHispanic	2,049	512,610	56.82	1.55	0.03	1.55±0.03
15	Managers, medicine and health	1: Total	1,009	257,406	56.91	1.76	0.06	1.76±0.06
15	Managers, medicine and health	2: Male	309	80,541	63.08	1.55	0.09	1.55±0.09
15	Managers, medicine and health	3: Female	700	176,865	54.10	1.84	0.07	1.84±0.07
15	Managers, medicine and health	4: White	870	225,557	56.02	1.79	0.06	1.79±0.06
15	Managers, medicine and health	5: Black	110	24,524	61.99	1.59	0.14	1.59±0.14
15	Managers, medicine and health	6: Other	29	7,325	67.41	1.45	0.29	1.45±0.29
15	Managers, medicine and health	7: Hispanic	43	11,755	56.59	1.35	0.13	1.35±0.13
15	Managers, medicine and health	8: NonHispanic	966	245,651	56.93	1.78	0.06	1.78±0.06
18	Managers, properties and real estate	1: Total	1,655	424,823	57.93	1.88	0.06	1.88±0.06
18	Managers, properties and real estate	2: Male	881	228,170	58.79	1.80	0.07	1.80±0.07
18	Managers, properties and real estate	3: Female	774	196,652	56.94	1.96	0.08	1.96±0.08
18	Managers, properties and real estate	4: White	1,482	384,861	57.42	1.89	0.05	1.89±0.05
18	Managers, properties and real estate	5: Black	135	29,675	68.17	1.63	0.16	1.63±0.16
18	Managers, properties and real estate	6: Other	38	10,286	47.43	2.05	0.63	2.05±0.63
18	Managers, properties and real estate	7: Hispanic	97	24,180	62.52	1.76	0.22	1.76±0.22
18	Managers, properties and real estate	8: NonHispanic	1,558	400,643	57.66	1.89	0.06	1.89±0.06
22	Managers and administrators	1: Total	33,553	8,609,388	61.82	1.58	0.01	1.58±0.01
22	Managers and administrators	2: Male	22,108	5,760,962	63.45	1.53	0.01	1.53±0.01
22	Managers and administrators	3: Female	11,445	2,848,426	58.52	1.68	0.02	1.68±0.02
22	Managers and administrators	4: White	30,560	7,891,127	61.01	1.59	0.01	1.59±0.01
22	Managers and administrators	5: Black	1,917	437,418	67.26	1.58	0.05	1.58±0.05
22	Managers and administrators	6: Other	1,076	280,842	76.06	1.46	0.07	1.46±0.07
22	Managers and administrators	7: Hispanic	1,622	424,777	70.29	1.56	0.05	1.56±0.05
22	Managers and administrators	8: NonHispanic	31,931	8,184,610	61.38	1.58	0.01	1.58±0.01
23	Accountants and auditors	1: Total	5,647	1,449,425	63.53	1.60	0.02	1.60±0.02
23	Accountants and auditors	2: Male	2,633	700,754	66.35	1.56	0.03	1.56±0.03
23	Accountants and auditors	3: Female	3,014	748,671	60.90	1.64	0.03	1.64±0.03
23	Accountants and auditors	4: White	4,865	1,258,209	62.74	1.61	0.03	1.61±0.03
23	Accountants and auditors	5: Black	466	106,603	68.89	1.52	0.08	1.52±0.08
23	Accountants and auditors	6: Other	316	84,613	68.52	1.49	0.07	1.49±0.07
23	Accountants and auditors	7: Hispanic	269	69,340	66.98	1.69	0.13	1.69±0.13
23	Accountants and auditors	8: NonHispanic	5,378	1,380,086	63.36	1.60	0.02	1.60±0.02
25	Other financial officers	1: Total	2,856	727,887	62.11	1.58	0.03	1.58±0.03
25	Other financial officers	2: Male	1,436	375,925	63.87	1.54	0.04	1.54±0.04
25	Other financial officers	3: Female	1,420	351,962	60.23	1.62	0.04	1.62±0.04
25	Other financial officers	4: White	2,558	655,800	60.74	1.58	0.03	1.58±0.03
25	Other financial officers	5: Black	191	44,236	73.54	1.58	0.15	1.58±0.15
25	Other financial officers	6: Other	107	27,850	76.31	1.56	0.11	1.56±0.11
25	Other financial officers	7: Hispanic	152	41,048	72.53	1.44	0.12	1.44±0.12
25	Other financial officers	8: NonHispanic	2,704	686,838	61.49	1.58	0.03	1.58±0.03
26	Management analysts	1: Total	823	207,706	56.15	1.64	0.06	1.64±0.06
26	Management analysts	2: Male	530	137,577	56.41	1.58	0.06	1.58±0.06
26	Management analysts	3: Female	293	70,129	55.63	1.74	0.12	1.74±0.12
26	Management analysts	4: White	749	190,942	55.83	1.66	0.07	1.66±0.07
26	Management analysts	5: Black	48	9,673	47.77	1.37	0.14	1.37±0.14
26	Management analysts	6: Other	26	7,090	76.24	1.31	0.19	1.31±0.19
26	Management analysts	7: Hispanic	26	6,690	48.42	1.92	0.30	1.92±0.30
26	Management analysts	8: NonHispanic	797	201,016	56.41	1.62	0.06	1.62±0.06
27	Personnel/training/labor relations specialists	1: Total	1,707	429,136	57.88	1.61	0.04	1.61±0.04
27	Personnel/training/labor relations specialists	2: Male	714	184,738	58.25	1.58	0.07	1.58±0.07
27	Personnel/training/labor relations specialists	3: Female	993	244,398	57.60	1.62	0.06	1.62±0.06
27	Personnel/training/labor relations specialists	4: White	1,448	368,799	57.22	1.59	0.04	1.59±0.04
27	Personnel/training/labor relations specialists	5: Black	219	50,123	61.79	1.77	0.12	1.77±0.12
27	Personnel/training/labor relations specialists	6: Other	40	10,214	62.51	1.27	0.12	1.27±0.12
27	Personnel/training/labor relations specialists	7: Hispanic	89	23,144	54.30	1.76	0.26	1.76±0.26
27	Personnel/training/labor relations specialists	8: NonHispanic	1,618	405,992	58.08	1.60	0.04	1.60±0.04
29	Buyers, wholesale/retail trade except farm products	1: Total	736	191,990	58.19	1.68	0.07	1.68±0.07
29	Buyers, wholesale/retail trade except farm products	2: Male	323	84,773	61.26	1.63	0.11	1.63±0.11
29	Buyers, wholesale/retail trade except farm products	3: Female	413	107,217	55.75	1.72	0.08	1.72±0.08
29	Buyers, wholesale/retail trade except farm products	4: White	698	182,261	57.02	1.67	0.07	1.67±0.07
29	Buyers, wholesale/retail trade except farm products	5: Black	24	5,199	74.82	2.17	0.38	2.17±0.38
29	Buyers, wholesale/retail trade except farm products	6: Other	14	4,530	85.96	2.75	0.66	2.75±0.66
29	Buyers, wholesale/retail trade except farm products	7: Hispanic	42	11,166	63.95	1.26	0.12	1.26±0.12
29	Buyers, wholesale/retail trade except farm products	8: NonHispanic	694	180,824	57.83	1.70	0.07	1.70±0.07
33	Purchasing agents and buyers	1: Total	1,007	260,021	60.11	1.58	0.05	1.58±0.05
33	Purchasing agents and buyers	2: Male	523	135,805	58.64	1.49	0.07	1.49±0.07
33	Purchasing agents and buyers	3: Female	484	124,216	61.73	1.67	0.09	1.67±0.09
33	Purchasing agents and buyers	4: White	920	240,255	59.53	1.57	0.05	1.57±0.05
33	Purchasing agents and buyers	5: Black	73	16,511	68.31	1.83	0.28	1.83±0.28
33	Purchasing agents and buyers	6: Other	14	3,255	61.16	1.29	0.17	1.29±0.17
33	Purchasing agents and buyers	7: Hispanic	41	11,359	69.97	1.38	0.19	1.38±0.19
33	Purchasing agents and buyers	8: NonHispanic	966	248,662	59.66	1.58	0.05	1.58±0.05
36	Inspectors/compliance officers, except construction	1: Total	713	183,364	57.92	1.78	0.07	1.78±0.07
36	Inspectors/compliance officers, except construction	2: Male	487	126,705	58.50	1.67	0.07	1.67±0.07
36	Inspectors/compliance officers, except construction	3: Female	226	56,659	56.62	2.01	0.14	2.01±0.14
36	Inspectors/compliance officers, except construction	4: White	595	155,299	56.66	1.80	0.08	1.80±0.08
36	Inspectors/compliance officers, except construction	5: Black	99	22,404	64.01	1.74	0.15	1.74±0.15
36	Inspectors/compliance officers, except construction	6: Other	19	5,661	68.19	1.37	0.26	1.37±0.26
36	Inspectors/compliance officers, except construction	7: Hispanic	45	12,274	61.85	1.77	0.23	1.77±0.23
36	Inspectors/compliance officers, except construction	8: NonHispanic	668	171,090	57.63	1.78	0.07	1.78±0.07
37	Management related occs	1: Total	1,476	371,203	55.29	1.72	0.05	1.72±0.05
37	Management related occs	2: Male	216	57,908	58.89	1.73	0.11	1.73±0.11
37	Management related occs	3: Female	1,260	313,295	54.63	1.72	0.05	1.72±0.05
37	Management related occs	4: White	1,244	319,117	53.85	1.72	0.05	1.72±0.05
37	Management related occs	5: Black	171	36,745	63.03	1.92	0.22	1.92±0.22
37	Management related occs	6: Other	61	15,341	66.83	1.37	0.21	1.37±0.21
37	Management related occs	7: Hispanic	84	21,261	53.12	1.92	0.20	1.92±0.20
37	Management related occs	8: NonHispanic	1,392	349,942	55.42	1.71	0.05	1.71±0.05
43	Architects	1: Total	680	176,710	61.50	1.54	0.06	1.54±0.06
43	Architects	2: Male	587	153,567	62.41	1.52	0.08	1.52±0.08
43	Architects	3: Female	93	23,143	55.43	1.66	0.13	1.66±0.13
43	Architects	4: White	623	162,108	60.55	1.54	0.06	1.54±0.06
43	Architects	5: Black	24	6,366	78.37	1.42	0.43	1.42±0.43
43	Architects	6: Other	33	8,236	67.18	1.71	0.33	1.71±0.33
43	Architects	7: Hispanic	50	12,774	66.71	1.60	0.18	1.60±0.18
43	Architects	8: NonHispanic	630	163,936	61.09	1.54	0.07	1.54±0.07
44	Aerospace	1: Total	452	115,384	58.70	1.50	0.05	1.50±0.05
44	Aerospace	2: Male	425	108,773	58.53	1.49	0.05	1.49±0.05
44	Aerospace	3: Female	27	6,612	61.52	1.70	0.24	1.70±0.24
44	Aerospace	4: White	408	104,395	59.69	1.48	0.05	1.48±0.05
44	Aerospace	5: Black	11	2,570	17.92	2.12	0.53	2.12±0.53
44	Aerospace	6: Other	33	8,418	58.92	1.37	0.20	1.37±0.20
44	Aerospace	7: Hispanic	13	3,735	51.32	1.00	0.00	1.00±0.00
44	Aerospace	8: NonHispanic	439	111,649	58.95	1.52	0.05	1.52±0.05
53	Civil	1: Total	1,015	264,614	66.48	1.44	0.04	1.44±0.04
53	Civil	2: Male	952	248,854	66.80	1.43	0.04	1.43±0.04
53	Civil	3: Female	63	15,759	61.49	1.63	0.16	1.63±0.16
53	Civil	4: White	897	233,004	64.89	1.43	0.04	1.43±0.04
53	Civil	5: Black	43	11,165	83.75	1.72	0.32	1.72±0.32
53	Civil	6: Other	75	20,444	75.24	1.53	0.25	1.53±0.25
53	Civil	7: Hispanic	48	13,090	84.58	2.25	0.34	2.25±0.34
53	Civil	8: NonHispanic	967	251,524	65.54	1.42	0.04	1.42±0.04
55	Electrical and electronic	1: Total	2,274	592,715	63.90	1.53	0.03	1.53±0.03
55	Electrical and electronic	2: Male	2,075	543,197	64.69	1.52	0.03	1.52±0.03
55	Electrical and electronic	3: Female	199	49,518	55.21	1.66	0.13	1.66±0.13
55	Electrical and electronic	4: White	1,989	518,640	62.42	1.54	0.03	1.54±0.03
55	Electrical and electronic	5: Black	109	28,944	76.15	1.41	0.17	1.41±0.17
55	Electrical and electronic	6: Other	176	45,131	73.06	1.49	0.16	1.49±0.16
55	Electrical and electronic	7: Hispanic	82	20,764	60.01	1.60	0.14	1.60±0.14
55	Electrical and electronic	8: NonHispanic	2,192	571,951	64.04	1.53	0.03	1.53±0.03
56	Industrial	1: Total	920	234,775	61.23	1.53	0.05	1.53±0.05
56	Industrial	2: Male	781	200,847	63.52	1.52	0.05	1.52±0.05
56	Industrial	3: Female	139	33,928	47.66	1.57	0.13	1.57±0.13
56	Industrial	4: White	824	210,888	60.40	1.52	0.05	1.52±0.05
56	Industrial	5: Black	52	11,813	60.97	1.54	0.14	1.54±0.14
56	Industrial	6: Other	44	12,074	75.99	1.64	0.56	1.64±0.56
56	Industrial	7: Hispanic	26	7,319	62.05	1.40	0.19	1.40±0.19
56	Industrial	8: NonHispanic	894	227,456	61.21	1.53	0.05	1.53±0.05
57	Mechanical	1: Total	1,255	330,773	65.81	1.53	0.04	1.53±0.04
57	Mechanical	2: Male	1,196	315,885	65.47	1.53	0.05	1.53±0.05
57	Mechanical	3: Female	59	14,888	72.96	1.36	0.21	1.36±0.21
57	Mechanical	4: White	1,121	293,040	64.03	1.51	0.04	1.51±0.04
57	Mechanical	5: Black	51	15,201	76.87	1.84	0.28	1.84±0.28
57	Mechanical	6: Other	83	22,532	81.45	1.68	0.33	1.68±0.33
57	Mechanical	7: Hispanic	35	9,655	72.65	1.76	0.43	1.76±0.43
57	Mechanical	8: NonHispanic	1,220	321,118	65.60	1.52	0.04	1.52±0.04
59	Engineers	1: Total	1,081	285,379	63.33	1.46	0.05	1.46±0.05
59	Engineers	2: Male	987	262,140	63.65	1.45	0.06	1.45±0.06
59	Engineers	3: Female	94	23,239	59.69	1.49	0.15	1.49±0.15
59	Engineers	4: White	956	254,567	61.84	1.45	0.05	1.45±0.05
59	Engineers	5: Black	38	9,368	68.66	2.08	0.47	2.08±0.47
59	Engineers	6: Other	87	21,444	78.67	1.21	0.14	1.21±0.14
59	Engineers	7: Hispanic	41	10,556	66.47	1.26	0.24	1.26±0.24
59	Engineers	8: NonHispanic	1,040	274,823	63.21	1.46	0.05	1.46±0.05
64	Computer systems analysts and scientists	1: Total	2,168	564,743	59.22	1.62	0.03	1.62±0.03
64	Computer systems analysts and scientists	2: Male	1,493	393,336	61.25	1.54	0.04	1.54±0.04
64	Computer systems analysts and scientists	3: Female	675	171,407	54.54	1.78	0.06	1.78±0.06
64	Computer systems analysts and scientists	4: White	1,852	484,823	57.94	1.63	0.04	1.63±0.04
64	Computer systems analysts and scientists	5: Black	161	39,421	62.83	1.72	0.19	1.72±0.19
64	Computer systems analysts and scientists	6: Other	155	40,500	70.99	1.41	0.11	1.41±0.11
64	Computer systems analysts and scientists	7: Hispanic	64	17,252	61.12	1.74	0.28	1.74±0.28
64	Computer systems analysts and scientists	8: NonHispanic	2,104	547,491	59.16	1.62	0.03	1.62±0.03
65	Operations/systems researchers and analysts	1: Total	1,082	279,844	61.20	1.59	0.04	1.59±0.04
65	Operations/systems researchers and analysts	2: Male	610	163,791	62.08	1.55	0.06	1.55±0.06
65	Operations/systems researchers and analysts	3: Female	472	116,053	59.95	1.64	0.06	1.64±0.06
65	Operations/systems researchers and analysts	4: White	930	241,287	60.16	1.55	0.04	1.55±0.04
65	Operations/systems researchers and analysts	5: Black	99	25,216	64.53	1.93	0.19	1.93±0.19
65	Operations/systems researchers and analysts	6: Other	53	13,341	73.60	1.65	0.26	1.65±0.26
65	Operations/systems researchers and analysts	7: Hispanic	46	11,394	57.79	2.04	0.28	2.04±0.28
65	Operations/systems researchers and analysts	8: NonHispanic	1,036	268,451	61.34	1.57	0.04	1.57±0.04
73	Chemists, except biochemists	1: Total	476	124,271	58.62	1.46	0.07	1.46±0.07
73	Chemists, except biochemists	2: Male	360	95,013	57.31	1.45	0.07	1.45±0.07
73	Chemists, except biochemists	3: Female	116	29,258	62.91	1.48	0.12	1.48±0.12
73	Chemists, except biochemists	4: White	392	102,713	55.42	1.48	0.08	1.48±0.08
73	Chemists, except biochemists	5: Black	31	7,721	72.86	1.21	0.13	1.21±0.13
73	Chemists, except biochemists	6: Other	53	13,837	74.48	1.24	0.12	1.24±0.12
73	Chemists, except biochemists	7: Hispanic	18	4,617	38.70	1.88	0.47	1.88±0.47
73	Chemists, except biochemists	8: NonHispanic	458	119,654	59.39	1.43	0.06	1.43±0.06
84	Physicians	1: Total	2,193	564,555	67.62	1.54	0.04	1.54±0.04
84	Physicians	2: Male	1,713	444,900	69.34	1.53	0.05	1.53±0.05
84	Physicians	3: Female	480	119,655	61.23	1.57	0.07	1.57±0.07
84	Physicians	4: White	1,863	478,408	66.14	1.57	0.04	1.57±0.04
84	Physicians	5: Black	97	24,627	75.92	1.11	0.07	1.11±0.07
84	Physicians	6: Other	233	61,520	75.86	1.45	0.13	1.45±0.13
84	Physicians	7: Hispanic	124	34,042	74.41	2.12	0.54	2.12±0.54
84	Physicians	8: NonHispanic	2,069	530,513	67.19	1.51	0.04	1.51±0.04
85	Dentists	1: Total	557	139,120	70.89	1.37	0.05	1.37±0.05
85	Dentists	2: Male	484	121,213	70.98	1.36	0.06	1.36±0.06
85	Dentists	3: Female	73	17,908	70.26	1.42	0.17	1.42±0.17
85	Dentists	4: White	505	126,000	69.90	1.36	0.05	1.36±0.05
85	Dentists	5: Black	16	4,094	62.00	1.90	0.28	1.90±0.28
85	Dentists	6: Other	36	9,026	88.72	1.00	0.00	1.00±0.00
85	Dentists	7: Hispanic	15	3,889	72.11	1.80	0.26	1.80±0.26
85	Dentists	8: NonHispanic	542	135,231	70.86	1.36	0.05	1.36±0.05
95	Registered nurses	1: Total	7,300	1,799,165	56.90	1.67	0.02	1.67±0.02
95	Registered nurses	2: Male	362	92,522	60.82	1.69	0.10	1.69±0.10
95	Registered nurses	3: Female	6,938	1,706,643	56.69	1.67	0.02	1.67±0.02
95	Registered nurses	4: White	6,131	1,537,400	55.63	1.68	0.02	1.68±0.02
95	Registered nurses	5: Black	815	172,626	62.19	1.61	0.07	1.61±0.07
95	Registered nurses	6: Other	354	89,139	68.54	1.54	0.07	1.54±0.07
95	Registered nurses	7: Hispanic	229	57,372	63.34	1.66	0.09	1.66±0.09
95	Registered nurses	8: NonHispanic	7,071	1,741,793	56.69	1.67	0.02	1.67±0.02
96	Pharmacists	1: Total	640	164,795	67.03	1.52	0.05	1.52±0.05
96	Pharmacists	2: Male	374	96,449	67.50	1.39	0.06	1.39±0.06
96	Pharmacists	3: Female	266	68,346	66.35	1.69	0.10	1.69±0.10
96	Pharmacists	4: White	578	148,253	65.62	1.53	0.06	1.53±0.06
96	Pharmacists	5: Black	18	4,373	73.56	1.74	0.24	1.74±0.24
96	Pharmacists	6: Other	44	12,169	81.75	1.09	0.09	1.09±0.09
96	Pharmacists	7: Hispanic	21	5,287	68.57	1.82	0.34	1.82±0.34
96	Pharmacists	8: NonHispanic	619	159,508	66.97	1.51	0.05	1.51±0.05
97	Dietitians	1: Total	426	105,770	67.68	1.54	0.09	1.54±0.09
97	Dietitians	2: Male	50	13,150	81.66	1.51	0.19	1.51±0.19
97	Dietitians	3: Female	376	92,621	65.69	1.55	0.09	1.55±0.09
97	Dietitians	4: White	293	76,547	64.38	1.56	0.11	1.56±0.11
97	Dietitians	5: Black	109	22,571	77.99	1.45	0.11	1.45±0.11
97	Dietitians	6: Other	24	6,653	70.60	1.49	0.22	1.49±0.22
97	Dietitians	7: Hispanic	24	7,683	54.16	2.18	0.52	2.18±0.52
97	Dietitians	8: NonHispanic	402	98,087	68.74	1.47	0.07	1.47±0.07
154	Postsecondary teachers, subject unspecified	1: Total	887	225,123	60.42	1.80	0.09	1.80±0.09
154	Postsecondary teachers, subject unspecified	2: Male	493	128,234	64.24	1.70	0.14	1.70±0.14
154	Postsecondary teachers, subject unspecified	3: Female	394	96,889	55.37	1.91	0.13	1.91±0.13
154	Postsecondary teachers, subject unspecified	4: White	699	177,407	56.30	1.78	0.10	1.78±0.10
154	Postsecondary teachers, subject unspecified	5: Black	66	15,509	62.69	2.08	0.27	2.08±0.27
154	Postsecondary teachers, subject unspecified	6: Other	122	32,207	82.05	1.84	0.25	1.84±0.25
154	Postsecondary teachers, subject unspecified	7: Hispanic	24	8,057	54.17	3.20	0.90	3.20±0.90
154	Postsecondary teachers, subject unspecified	8: NonHispanic	863	217,066	60.66	1.74	0.07	1.74±0.07
155	Teachers, pre-K and K	1: Total	1,650	408,944	59.67	1.64	0.05	1.64±0.05
155	Teachers, pre-K and K	2: Male	23	6,290	71.54	1.97	0.39	1.97±0.39
155	Teachers, pre-K and K	3: Female	1,627	402,653	59.49	1.63	0.05	1.63±0.05
155	Teachers, pre-K and K	4: White	1,348	344,094	58.30	1.62	0.05	1.62±0.05
155	Teachers, pre-K and K	5: Black	257	52,578	67.50	1.82	0.14	1.82±0.14
155	Teachers, pre-K and K	6: Other	45	12,272	64.78	1.38	0.17	1.38±0.17
155	Teachers, pre-K and K	7: Hispanic	99	25,558	68.30	1.80	0.16	1.80±0.16
155	Teachers, pre-K and K	8: NonHispanic	1,551	383,386	59.10	1.63	0.05	1.63±0.05
156	Teachers, elementary school	1: Total	6,236	1,524,602	57.84	1.60	0.02	1.60±0.02
156	Teachers, elementary school	2: Male	954	240,550	59.36	1.51	0.04	1.51±0.04
156	Teachers, elementary school	3: Female	5,282	1,284,053	57.56	1.61	0.02	1.61±0.02
156	Teachers, elementary school	4: White	5,452	1,361,322	57.40	1.60	0.02	1.60±0.02
156	Teachers, elementary school	5: Black	698	140,683	63.56	1.61	0.08	1.61±0.08
156	Teachers, elementary school	6: Other	86	22,597	48.69	1.53	0.11	1.53±0.11
156	Teachers, elementary school	7: Hispanic	248	63,217	56.87	1.58	0.09	1.58±0.09
156	Teachers, elementary school	8: NonHispanic	5,988	1,461,386	57.88	1.60	0.02	1.60±0.02
157	Teachers, secondary school	1: Total	4,792	1,207,921	57.81	1.61	0.02	1.61±0.02
157	Teachers, secondary school	2: Male	2,040	528,711	60.49	1.53	0.03	1.53±0.03
157	Teachers, secondary school	3: Female	2,752	679,210	55.73	1.67	0.03	1.67±0.03
157	Teachers, secondary school	4: White	4,275	1,096,317	57.20	1.61	0.03	1.61±0.03
157	Teachers, secondary school	5: Black	455	93,839	64.65	1.70	0.10	1.70±0.10
157	Teachers, secondary school	6: Other	62	17,764	59.71	1.56	0.19	1.56±0.19
157	Teachers, secondary school	7: Hispanic	173	46,830	57.35	1.62	0.11	1.62±0.11
157	Teachers, secondary school	8: NonHispanic	4,619	1,161,090	57.83	1.61	0.03	1.61±0.03
158	Teachers, special education	1: Total	1,017	252,519	54.74	1.70	0.06	1.70±0.06
158	Teachers, special education	2: Male	160	42,514	61.17	1.77	0.20	1.77±0.20
158	Teachers, special education	3: Female	857	210,005	53.44	1.68	0.06	1.68±0.06
158	Teachers, special education	4: White	878	219,377	54.33	1.68	0.06	1.68±0.06
158	Teachers, special education	5: Black	125	29,254	59.00	1.82	0.17	1.82±0.17
158	Teachers, special education	6: Other	14	3,887	45.99	1.56	0.37	1.56±0.37
158	Teachers, special education	7: Hispanic	36	9,380	52.03	1.50	0.21	1.50±0.21
158	Teachers, special education	8: NonHispanic	981	243,139	54.85	1.70	0.06	1.70±0.06
159	Teachers	1: Total	2,162	545,219	58.10	1.74	0.04	1.74±0.04
159	Teachers	2: Male	794	207,073	63.76	1.66	0.06	1.66±0.06
159	Teachers	3: Female	1,368	338,146	54.64	1.78	0.05	1.78±0.05
159	Teachers	4: White	1,919	489,427	57.28	1.74	0.04	1.74±0.04
159	Teachers	5: Black	182	39,796	63.65	1.81	0.14	1.81±0.14
159	Teachers	6: Other	61	15,996	69.65	1.56	0.22	1.56±0.22
159	Teachers	7: Hispanic	89	22,091	57.27	1.53	0.12	1.53±0.12
159	Teachers	8: NonHispanic	2,073	523,129	58.14	1.75	0.04	1.75±0.04
163	Counselors, Educational and Vocational	1: Total	1,026	262,756	52.26	1.67	0.05	1.67±0.05
163	Counselors, Educational and Vocational	2: Male	349	92,738	54.84	1.63	0.10	1.63±0.10
163	Counselors, Educational and Vocational	3: Female	677	170,018	50.86	1.69	0.06	1.69±0.06
163	Counselors, Educational and Vocational	4: White	818	211,544	52.02	1.71	0.06	1.71±0.06
163	Counselors, Educational and Vocational	5: Black	175	40,618	57.30	1.61	0.13	1.61±0.13
163	Counselors, Educational and Vocational	6: Other	33	10,594	37.78	1.24	0.17	1.24±0.17
163	Counselors, Educational and Vocational	7: Hispanic	48	11,557	71.43	1.91	0.24	1.91±0.24
163	Counselors, Educational and Vocational	8: NonHispanic	978	251,198	51.38	1.66	0.05	1.66±0.05
164	Librarians	1: Total	737	185,788	52.43	1.70	0.07	1.70±0.07
164	Librarians	2: Male	104	27,565	56.16	1.89	0.18	1.89±0.18
164	Librarians	3: Female	633	158,222	51.78	1.67	0.07	1.67±0.07
164	Librarians	4: White	659	167,087	51.66	1.73	0.07	1.73±0.07
164	Librarians	5: Black	50	10,377	58.75	1.54	0.21	1.54±0.21
164	Librarians	6: Other	28	8,323	59.92	1.35	0.17	1.35±0.17
164	Librarians	7: Hispanic	24	6,860	59.29	2.05	0.44	2.05±0.44
164	Librarians	8: NonHispanic	713	178,927	52.16	1.69	0.07	1.69±0.07
166	Economists	1: Total	635	166,170	61.05	1.69	0.07	1.69±0.07
166	Economists	2: Male	364	97,324	65.49	1.70	0.08	1.70±0.08
166	Economists	3: Female	271	68,846	54.77	1.67	0.12	1.67±0.12
166	Economists	4: White	574	150,931	60.97	1.69	0.08	1.69±0.08
166	Economists	5: Black	38	8,685	55.98	1.45	0.19	1.45±0.19
166	Economists	6: Other	23	6,553	69.59	1.93	0.60	1.93±0.60
166	Economists	7: Hispanic	30	7,949	50.86	1.81	0.23	1.81±0.23
166	Economists	8: NonHispanic	605	158,220	61.56	1.68	0.08	1.68±0.08
167	Psychologists	1: Total	754	190,497	51.41	1.75	0.05	1.75±0.05
167	Psychologists	2: Male	320	82,506	53.89	1.74	0.08	1.74±0.08
167	Psychologists	3: Female	434	107,991	49.51	1.75	0.07	1.75±0.07
167	Psychologists	4: White	686	174,659	50.95	1.76	0.05	1.76±0.05
167	Psychologists	5: Black	56	12,367	61.78	1.34	0.15	1.34±0.15
167	Psychologists	6: Other	12	3,472	37.38	2.10	0.40	2.10±0.40
167	Psychologists	7: Hispanic	38	9,612	56.81	2.14	0.35	2.14±0.35
167	Psychologists	8: NonHispanic	716	180,885	51.12	1.73	0.05	1.73±0.05
174	Social workers	1: Total	2,351	569,851	52.16	1.78	0.04	1.78±0.04
174	Social workers	2: Male	695	176,079	58.04	1.80	0.07	1.80±0.07
174	Social workers	3: Female	1,656	393,771	49.53	1.77	0.04	1.77±0.04
174	Social workers	4: White	1,765	441,564	51.29	1.79	0.04	1.79±0.04
174	Social workers	5: Black	532	114,755	54.60	1.78	0.06	1.78±0.06
174	Social workers	6: Other	54	13,531	59.86	1.43	0.13	1.43±0.13
174	Social workers	7: Hispanic	147	35,804	59.41	1.88	0.17	1.88±0.17
174	Social workers	8: NonHispanic	2,204	534,047	51.68	1.77	0.04	1.77±0.04
176	Clergy	1: Total	1,345	330,405	58.27	1.64	0.05	1.64±0.05
176	Clergy	2: Male	1,223	303,305	58.67	1.64	0.05	1.64±0.05
176	Clergy	3: Female	122	27,099	53.72	1.70	0.14	1.70±0.14
176	Clergy	4: White	1,157	286,145	56.71	1.65	0.05	1.65±0.05
176	Clergy	5: Black	155	35,690	68.44	1.64	0.16	1.64±0.16
176	Clergy	6: Other	33	8,570	67.94	1.23	0.16	1.23±0.16
176	Clergy	7: Hispanic	37	10,323	63.33	1.49	0.17	1.49±0.17
176	Clergy	8: NonHispanic	1,308	320,081	58.10	1.65	0.05	1.65±0.05
178	Lawyers	1: Total	2,854	747,311	62.71	1.59	0.04	1.59±0.04
178	Lawyers	2: Male	2,147	568,786	62.97	1.59	0.04	1.59±0.04
178	Lawyers	3: Female	707	178,525	61.87	1.61	0.07	1.61±0.07
178	Lawyers	4: White	2,673	700,998	62.71	1.60	0.04	1.60±0.04
178	Lawyers	5: Black	131	32,972	63.56	1.46	0.16	1.46±0.16
178	Lawyers	6: Other	50	13,340	60.72	1.61	0.24	1.61±0.24
178	Lawyers	7: Hispanic	92	24,022	64.42	1.30	0.07	1.30±0.07
178	Lawyers	8: NonHispanic	2,762	723,289	62.65	1.60	0.04	1.60±0.04
185	Designers	1: Total	2,037	526,843	59.82	1.69	0.05	1.69±0.05
185	Designers	2: Male	853	225,588	62.33	1.59	0.08	1.59±0.08
185	Designers	3: Female	1,184	301,255	57.94	1.76	0.05	1.76±0.05
185	Designers	4: White	1,874	485,631	59.23	1.69	0.05	1.69±0.05
185	Designers	5: Black	78	18,362	57.32	1.75	0.25	1.75±0.25
185	Designers	6: Other	85	22,851	74.36	1.56	0.17	1.56±0.17
185	Designers	7: Hispanic	123	31,508	65.36	1.49	0.16	1.49±0.16
185	Designers	8: NonHispanic	1,914	495,335	59.47	1.70	0.05	1.70±0.05
186	Musicians and composers	1: Total	647	171,362	60.16	1.75	0.07	1.75±0.07
186	Musicians and composers	2: Male	394	106,537	63.42	1.71	0.09	1.71±0.09
186	Musicians and composers	3: Female	253	64,825	54.79	1.79	0.11	1.79±0.11
186	Musicians and composers	4: White	561	149,422	59.45	1.74	0.07	1.74±0.07
186	Musicians and composers	5: Black	65	16,035	61.41	1.87	0.31	1.87±0.31
186	Musicians and composers	6: Other	21	5,906	74.57	1.58	0.26	1.58±0.26
186	Musicians and composers	7: Hispanic	43	10,895	63.94	1.78	0.29	1.78±0.29
186	Musicians and composers	8: NonHispanic	604	160,467	59.90	1.74	0.07	1.74±0.07
187	Actors and directors	1: Total	397	103,368	58.61	1.67	0.10	1.67±0.10
187	Actors and directors	2: Male	242	64,217	63.69	1.73	0.18	1.73±0.18
187	Actors and directors	3: Female	155	39,152	50.26	1.60	0.11	1.60±0.11
187	Actors and directors	4: White	367	94,457	59.16	1.68	0.12	1.68±0.12
187	Actors and directors	5: Black	18	6,067	51.56	1.61	0.19	1.61±0.19
187	Actors and directors	6: Other	12	2,844	55.42	1.34	0.17	1.34±0.17
187	Actors and directors	7: Hispanic	22	5,345	55.72	2.02	0.33	2.02±0.33
187	Actors and directors	8: NonHispanic	375	98,023	58.76	1.65	0.11	1.65±0.11
188	Painters/sculptors/craft-artists/artist printmakers	1: Total	928	243,308	54.79	1.73	0.07	1.73±0.07
188	Painters/sculptors/craft-artists/artist printmakers	2: Male	451	120,720	59.18	1.58	0.08	1.58±0.08
188	Painters/sculptors/craft-artists/artist printmakers	3: Female	477	122,587	50.46	1.86	0.11	1.86±0.11
188	Painters/sculptors/craft-artists/artist printmakers	4: White	853	223,410	53.80	1.75	0.07	1.75±0.07
188	Painters/sculptors/craft-artists/artist printmakers	5: Black	39	9,904	67.11	1.20	0.13	1.20±0.13
188	Painters/sculptors/craft-artists/artist printmakers	6: Other	36	9,994	64.51	1.78	0.39	1.78±0.39
188	Painters/sculptors/craft-artists/artist printmakers	7: Hispanic	40	10,852	73.02	1.32	0.21	1.32±0.21
188	Painters/sculptors/craft-artists/artist printmakers	8: NonHispanic	888	232,456	53.93	1.74	0.07	1.74±0.07
189	Photographers	1: Total	503	134,989	61.88	1.55	0.07	1.55±0.07
189	Photographers	2: Male	364	101,240	63.45	1.57	0.08	1.57±0.08
189	Photographers	3: Female	139	33,749	57.14	1.49	0.13	1.49±0.13
189	Photographers	4: White	462	125,085	60.68	1.54	0.06	1.54±0.06
189	Photographers	5: Black	28	6,256	74.06	1.85	0.67	1.85±0.67
189	Photographers	6: Other	13	3,648	82.00	1.30	0.30	1.30±0.30
189	Photographers	7: Hispanic	18	4,926	81.40	1.74	0.41	1.74±0.41
189	Photographers	8: NonHispanic	485	130,063	61.14	1.54	0.07	1.54±0.07
195	Editors and reporters	1: Total	933	247,967	58.70	1.67	0.06	1.67±0.06
195	Editors and reporters	2: Male	478	130,383	64.78	1.52	0.06	1.52±0.06
195	Editors and reporters	3: Female	455	117,584	51.96	1.79	0.09	1.79±0.09
195	Editors and reporters	4: White	865	228,960	58.03	1.68	0.06	1.68±0.06
195	Editors and reporters	5: Black	45	12,182	58.87	1.40	0.14	1.40±0.14
195	Editors and reporters	6: Other	23	6,825	80.78	1.68	0.31	1.68±0.31
195	Editors and reporters	7: Hispanic	24	6,974	75.82	1.25	0.15	1.25±0.15
195	Editors and reporters	8: NonHispanic	909	240,992	58.21	1.67	0.06	1.67±0.06
197	Public relations specialists	1: Total	649	168,127	61.01	1.62	0.07	1.62±0.07
197	Public relations specialists	2: Male	271	72,038	60.90	1.65	0.12	1.65±0.12
197	Public relations specialists	3: Female	378	96,088	61.08	1.61	0.07	1.61±0.07
197	Public relations specialists	4: White	587	152,746	60.52	1.61	0.07	1.61±0.07
197	Public relations specialists	5: Black	48	11,635	63.46	1.85	0.16	1.85±0.16
197	Public relations specialists	6: Other	14	3,746	73.17	1.66	0.40	1.66±0.40
197	Public relations specialists	7: Hispanic	31	8,036	62.49	1.66	0.30	1.66±0.30
197	Public relations specialists	8: NonHispanic	618	160,091	60.93	1.62	0.07	1.62±0.07
203	Clinical lab technologists and technicians	1: Total	1,326	328,584	64.39	1.64	0.05	1.64±0.05
203	Clinical lab technologists and technicians	2: Male	293	78,792	67.71	1.59	0.12	1.59±0.12
203	Clinical lab technologists and technicians	3: Female	1,033	249,791	63.35	1.65	0.05	1.65±0.05
203	Clinical lab technologists and technicians	4: White	996	252,780	64.03	1.65	0.06	1.65±0.06
203	Clinical lab technologists and technicians	5: Black	237	50,404	62.41	1.59	0.13	1.59±0.13
203	Clinical lab technologists and technicians	6: Other	93	25,400	71.94	1.58	0.20	1.58±0.20
203	Clinical lab technologists and technicians	7: Hispanic	93	24,898	61.69	1.95	0.22	1.95±0.22
203	Clinical lab technologists and technicians	8: NonHispanic	1,233	303,685	64.61	1.61	0.05	1.61±0.05
206	Radiologic technicians	1: Total	543	137,287	62.94	1.57	0.08	1.57±0.08
206	Radiologic technicians	2: Male	153	41,478	63.94	1.30	0.10	1.30±0.10
206	Radiologic technicians	3: Female	390	95,809	62.50	1.68	0.10	1.68±0.10
206	Radiologic technicians	4: White	478	121,044	63.85	1.56	0.08	1.56±0.08
206	Radiologic technicians	5: Black	48	11,089	53.84	1.78	0.32	1.78±0.32
206	Radiologic technicians	6: Other	17	5,154	60.94	1.27	0.26	1.27±0.26
206	Radiologic technicians	7: Hispanic	43	11,059	67.31	1.61	0.31	1.61±0.31
206	Radiologic technicians	8: NonHispanic	500	126,228	62.55	1.56	0.08	1.56±0.08
207	Licensed practical nurses	1: Total	1,851	433,437	54.37	1.68	0.04	1.68±0.04
207	Licensed practical nurses	2: Male	66	18,738	49.90	1.77	0.24	1.77±0.24
207	Licensed practical nurses	3: Female	1,785	414,700	54.57	1.67	0.04	1.67±0.04
207	Licensed practical nurses	4: White	1,375	340,291	52.76	1.68	0.05	1.68±0.05
207	Licensed practical nurses	5: Black	429	80,115	60.68	1.68	0.08	1.68±0.08
207	Licensed practical nurses	6: Other	47	13,031	57.57	1.63	0.18	1.63±0.18
207	Licensed practical nurses	7: Hispanic	92	22,621	53.37	1.51	0.12	1.51±0.12
207	Licensed practical nurses	8: NonHispanic	1,759	410,816	54.42	1.69	0.04	1.69±0.04
208	Health technologists and technicians	1: Total	1,314	330,504	59.77	1.72	0.05	1.72±0.05
208	Health technologists and technicians	2: Male	382	101,316	66.93	1.51	0.07	1.51±0.07
208	Health technologists and technicians	3: Female	932	229,188	56.60	1.79	0.07	1.79±0.07
208	Health technologists and technicians	4: White	1,040	266,221	58.06	1.72	0.06	1.72±0.06
208	Health technologists and technicians	5: Black	205	45,241	68.01	1.74	0.14	1.74±0.14
208	Health technologists and technicians	6: Other	69	19,042	64.03	1.64	0.28	1.64±0.28
208	Health technologists and technicians	7: Hispanic	94	24,937	66.25	1.48	0.11	1.48±0.11
208	Health technologists and technicians	8: NonHispanic	1,220	305,567	59.24	1.73	0.06	1.73±0.06
213	Electrical and electronic technicians	1: Total	1,447	378,968	63.28	1.48	0.04	1.48±0.04
213	Electrical and electronic technicians	2: Male	1,204	320,198	64.48	1.48	0.04	1.48±0.04
213	Electrical and electronic technicians	3: Female	243	58,770	56.71	1.46	0.08	1.46±0.08
213	Electrical and electronic technicians	4: White	1,211	318,155	60.35	1.49	0.04	1.49±0.04
213	Electrical and electronic technicians	5: Black	125	31,406	72.59	1.45	0.13	1.45±0.13
213	Electrical and electronic technicians	6: Other	111	29,407	85.01	1.19	0.11	1.19±0.11
213	Electrical and electronic technicians	7: Hispanic	79	20,080	70.18	1.28	0.14	1.28±0.14
213	Electrical and electronic technicians	8: NonHispanic	1,368	358,888	62.89	1.48	0.04	1.48±0.04
216	Engineering technicians	1: Total	1,023	261,701	60.91	1.55	0.05	1.55±0.05
216	Engineering technicians	2: Male	681	178,622	62.38	1.55	0.06	1.55±0.06
216	Engineering technicians	3: Female	342	83,079	57.75	1.54	0.09	1.54±0.09
216	Engineering technicians	4: White	855	220,821	59.30	1.57	0.06	1.57±0.06
216	Engineering technicians	5: Black	111	25,470	71.84	1.35	0.10	1.35±0.10
216	Engineering technicians	6: Other	57	15,410	65.86	1.36	0.15	1.36±0.15
216	Engineering technicians	7: Hispanic	43	10,812	58.18	1.26	0.11	1.26±0.11
216	Engineering technicians	8: NonHispanic	980	250,889	61.03	1.56	0.05	1.56±0.05
217	Drafting occs	1: Total	992	265,437	61.84	1.56	0.06	1.56±0.06
217	Drafting occs	2: Male	794	213,073	63.34	1.50	0.07	1.50±0.07
217	Drafting occs	3: Female	198	52,364	55.73	1.75	0.11	1.75±0.11
217	Drafting occs	4: White	902	243,043	60.68	1.56	0.06	1.56±0.06
217	Drafting occs	5: Black	40	9,474	80.60	1.38	0.24	1.38±0.24
217	Drafting occs	6: Other	50	12,920	69.91	1.53	0.21	1.53±0.21
217	Drafting occs	7: Hispanic	70	19,282	58.14	1.43	0.11	1.43±0.11
217	Drafting occs	8: NonHispanic	922	246,155	62.13	1.57	0.06	1.57±0.06
226	Airplane pilots and navigators	1: Total	407	107,936	72.09	1.33	0.06	1.33±0.06
226	Airplane pilots and navigators	2: Male	395	105,271	72.04	1.30	0.06	1.30±0.06
226	Airplane pilots and navigators	3: Female	12	2,665	74.06	2.33	0.55	2.33±0.55
226	Airplane pilots and navigators	4: White	398	105,231	72.45	1.34	0.06	1.34±0.06
226	Airplane pilots and navigators	5: Black	6	1,735	64.44	1.00	0.00	1.00±0.00
226	Airplane pilots and navigators	6: Other	3	970	46.72	1.00	0.00	1.00±0.00
226	Airplane pilots and navigators	7: Hispanic	11	3,245	93.33	1.00	0.00	1.00±0.00
226	Airplane pilots and navigators	8: NonHispanic	396	104,691	71.43	1.33	0.06	1.33±0.06
229	Computer programmers	1: Total	1,961	515,413	61.35	1.57	0.04	1.57±0.04
229	Computer programmers	2: Male	1,291	345,931	62.71	1.51	0.04	1.51±0.04
229	Computer programmers	3: Female	670	169,482	58.58	1.67	0.07	1.67±0.07
229	Computer programmers	4: White	1,658	441,655	59.95	1.58	0.04	1.58±0.04
229	Computer programmers	5: Black	156	35,443	73.05	1.61	0.15	1.61±0.15
229	Computer programmers	6: Other	147	38,315	66.66	1.42	0.12	1.42±0.12
229	Computer programmers	7: Hispanic	90	23,934	66.71	1.62	0.15	1.62±0.15
229	Computer programmers	8: NonHispanic	1,871	491,479	61.09	1.57	0.04	1.57±0.04
234	Legal assistants	1: Total	945	245,025	60.40	1.64	0.05	1.64±0.05
234	Legal assistants	2: Male	190	51,098	62.17	1.53	0.10	1.53±0.10
234	Legal assistants	3: Female	755	193,927	59.93	1.66	0.07	1.66±0.07
234	Legal assistants	4: White	841	218,530	58.97	1.62	0.06	1.62±0.06
234	Legal assistants	5: Black	71	16,896	66.38	1.67	0.26	1.67±0.26
234	Legal assistants	6: Other	33	9,598	82.43	2.13	0.55	2.13±0.55
234	Legal assistants	7: Hispanic	60	15,187	64.08	1.55	0.13	1.55±0.13
234	Legal assistants	8: NonHispanic	885	229,838	60.16	1.64	0.05	1.64±0.05
235	Technicians	1: Total	1,780	462,626	61.03	1.56	0.04	1.56±0.04
235	Technicians	2: Male	1,230	323,700	64.48	1.50	0.05	1.50±0.05
235	Technicians	3: Female	550	138,926	53.01	1.67	0.07	1.67±0.07
235	Technicians	4: White	1,496	391,624	58.97	1.58	0.04	1.58±0.04
235	Technicians	5: Black	158	36,652	66.42	1.47	0.14	1.47±0.14
235	Technicians	6: Other	126	34,349	78.79	1.35	0.20	1.35±0.20
235	Technicians	7: Hispanic	99	28,281	74.11	1.40	0.14	1.40±0.14
235	Technicians	8: NonHispanic	1,681	434,345	60.18	1.57	0.04	1.57±0.04
243	Supervisors/Proprietors, Sales Occupations	1: Total	13,986	3,596,023	64.23	1.57	0.02	1.57±0.02
243	Supervisors/Proprietors, Sales Occupations	2: Male	8,835	2,315,820	66.16	1.54	0.02	1.54±0.02
243	Supervisors/Proprietors, Sales Occupations	3: Female	5,151	1,280,203	60.74	1.63	0.03	1.63±0.03
243	Supervisors/Proprietors, Sales Occupations	4: White	12,793	3,297,445	63.47	1.58	0.02	1.58±0.02
243	Supervisors/Proprietors, Sales Occupations	5: Black	706	169,165	68.53	1.50	0.06	1.50±0.06
243	Supervisors/Proprietors, Sales Occupations	6: Other	487	129,414	78.01	1.41	0.09	1.41±0.09
243	Supervisors/Proprietors, Sales Occupations	7: Hispanic	751	197,592	71.09	1.43	0.05	1.43±0.05
243	Supervisors/Proprietors, Sales Occupations	8: NonHispanic	13,235	3,398,432	63.83	1.58	0.02	1.58±0.02
253	Insurance sales occs	1: Total	2,576	654,951	61.31	1.65	0.04	1.65±0.04
253	Insurance sales occs	2: Male	1,634	422,637	61.61	1.66	0.06	1.66±0.06
253	Insurance sales occs	3: Female	942	232,314	60.78	1.62	0.06	1.62±0.06
253	Insurance sales occs	4: White	2,337	598,754	60.41	1.66	0.05	1.66±0.05
253	Insurance sales occs	5: Black	179	40,514	71.60	1.51	0.13	1.51±0.13
253	Insurance sales occs	6: Other	60	15,683	69.36	1.35	0.21	1.35±0.21
253	Insurance sales occs	7: Hispanic	116	30,301	62.82	1.75	0.23	1.75±0.23
253	Insurance sales occs	8: NonHispanic	2,460	624,650	61.24	1.64	0.04	1.64±0.04
254	Real estate sales occs	1: Total	3,071	788,281	58.40	1.66	0.03	1.66±0.03
254	Real estate sales occs	2: Male	1,547	401,798	59.14	1.62	0.04	1.62±0.04
254	Real estate sales occs	3: Female	1,524	386,483	57.63	1.70	0.05	1.70±0.05
254	Real estate sales occs	4: White	2,889	740,931	57.44	1.66	0.03	1.66±0.03
254	Real estate sales occs	5: Black	102	24,062	72.36	1.46	0.10	1.46±0.10
254	Real estate sales occs	6: Other	80	23,288	74.38	1.94	0.32	1.94±0.32
254	Real estate sales occs	7: Hispanic	122	32,809	65.17	1.73	0.20	1.73±0.20
254	Real estate sales occs	8: NonHispanic	2,949	755,472	58.10	1.66	0.03	1.66±0.03
255	Securities and financial services sales occs	1: Total	1,093	288,542	64.85	1.52	0.04	1.52±0.04
255	Securities and financial services sales occs	2: Male	787	211,164	65.98	1.46	0.05	1.46±0.05
255	Securities and financial services sales occs	3: Female	306	77,378	61.79	1.67	0.08	1.67±0.08
255	Securities and financial services sales occs	4: White	1,000	265,488	63.99	1.53	0.04	1.53±0.04
255	Securities and financial services sales occs	5: Black	64	15,184	72.20	1.45	0.21	1.45±0.21
255	Securities and financial services sales occs	6: Other	29	7,870	79.86	1.39	0.37	1.39±0.37
255	Securities and financial services sales occs	7: Hispanic	28	7,195	84.31	1.57	0.31	1.57±0.31
255	Securities and financial services sales occs	8: NonHispanic	1,065	281,347	64.36	1.52	0.04	1.52±0.04
256	Advertising and related sales occs	1: Total	547	142,145	60.77	1.65	0.09	1.65±0.09
256	Advertising and related sales occs	2: Male	269	71,964	58.24	1.53	0.09	1.53±0.09
256	Advertising and related sales occs	3: Female	278	70,181	63.37	1.80	0.13	1.80±0.13
256	Advertising and related sales occs	4: White	511	133,280	59.53	1.65	0.09	1.65±0.09
256	Advertising and related sales occs	5: Black	27	6,644	83.09	2.06	0.39	2.06±0.39
256	Advertising and related sales occs	6: Other	9	2,222	68.77	1.57	0.47	1.57±0.47
256	Advertising and related sales occs	7: Hispanic	20	4,887	61.68	1.25	0.13	1.25±0.13
256	Advertising and related sales occs	8: NonHispanic	527	137,258	60.74	1.67	0.09	1.67±0.09
257	Sales occs, other business services	1: Total	1,500	393,028	62.55	1.64	0.04	1.64±0.04
257	Sales occs, other business services	2: Male	944	252,718	64.39	1.58	0.05	1.58±0.05
257	Sales occs, other business services	3: Female	556	140,309	59.24	1.74	0.07	1.74±0.07
257	Sales occs, other business services	4: White	1,385	364,858	62.38	1.63	0.04	1.63±0.04
257	Sales occs, other business services	5: Black	86	19,777	61.26	1.74	0.22	1.74±0.22
257	Sales occs, other business services	6: Other	29	8,392	72.93	1.73	0.33	1.73±0.33
257	Sales occs, other business services	7: Hispanic	83	20,971	62.35	1.51	0.17	1.51±0.17
257	Sales occs, other business services	8: NonHispanic	1,417	372,057	62.56	1.65	0.04	1.65±0.04
259	Sales reps, mining/manufact/wholesale	1: Total	5,013	1,305,211	63.06	1.52	0.02	1.52±0.02
259	Sales reps, mining/manufact/wholesale	2: Male	3,833	1,004,909	64.25	1.49	0.02	1.49±0.02
259	Sales reps, mining/manufact/wholesale	3: Female	1,180	300,302	59.10	1.61	0.04	1.61±0.04
259	Sales reps, mining/manufact/wholesale	4: White	4,750	1,240,419	62.62	1.52	0.02	1.52±0.02
259	Sales reps, mining/manufact/wholesale	5: Black	170	39,789	69.35	1.75	0.12	1.75±0.12
259	Sales reps, mining/manufact/wholesale	6: Other	93	25,003	75.31	1.48	0.31	1.48±0.31
259	Sales reps, mining/manufact/wholesale	7: Hispanic	232	58,984	70.80	1.60	0.10	1.60±0.10
259	Sales reps, mining/manufact/wholesale	8: NonHispanic	4,781	1,246,227	62.70	1.52	0.02	1.52±0.02
263	Sales workers, motor vehicles and boats	1: Total	991	255,606	66.08	1.51	0.06	1.51±0.06
263	Sales workers, motor vehicles and boats	2: Male	936	241,931	66.84	1.51	0.06	1.51±0.06
263	Sales workers, motor vehicles and boats	3: Female	55	13,676	52.62	1.51	0.19	1.51±0.19
263	Sales workers, motor vehicles and boats	4: White	936	240,349	65.24	1.53	0.06	1.53±0.06
263	Sales workers, motor vehicles and boats	5: Black	41	11,496	82.43	1.21	0.16	1.21±0.16
263	Sales workers, motor vehicles and boats	6: Other	14	3,761	69.61	1.00	0.00	1.00±0.00
263	Sales workers, motor vehicles and boats	7: Hispanic	59	14,878	83.39	1.86	0.57	1.86±0.57
263	Sales workers, motor vehicles and boats	8: NonHispanic	932	240,729	65.01	1.50	0.06	1.50±0.06
264	Sales workers, apparel	1: Total	1,169	296,930	66.13	1.59	0.05	1.59±0.05
264	Sales workers, apparel	2: Male	196	53,627	73.86	1.36	0.07	1.36±0.07
264	Sales workers, apparel	3: Female	973	243,303	64.42	1.63	0.06	1.63±0.06
264	Sales workers, apparel	4: White	1,001	258,828	65.31	1.61	0.06	1.61±0.06
264	Sales workers, apparel	5: Black	127	27,636	69.31	1.46	0.14	1.46±0.14
264	Sales workers, apparel	6: Other	41	10,465	78.01	1.56	0.29	1.56±0.29
264	Sales workers, apparel	7: Hispanic	124	32,386	72.37	1.39	0.13	1.39±0.13
264	Sales workers, apparel	8: NonHispanic	1,045	264,544	65.36	1.61	0.06	1.61±0.06
266	Sales workers, furniture and home furnishings	1: Total	402	105,818	60.47	1.55	0.07	1.55±0.07
266	Sales workers, furniture and home furnishings	2: Male	213	54,694	60.79	1.40	0.07	1.40±0.07
266	Sales workers, furniture and home furnishings	3: Female	189	51,124	60.12	1.71	0.15	1.71±0.15
266	Sales workers, furniture and home furnishings	4: White	372	99,018	61.28	1.54	0.07	1.54±0.07
266	Sales workers, furniture and home furnishings	5: Black	22	4,966	48.12	1.68	0.33	1.68±0.33
266	Sales workers, furniture and home furnishings	6: Other	8	1,833	50.26	1.72	0.23	1.72±0.23
266	Sales workers, furniture and home furnishings	7: Hispanic	30	7,845	77.96	2.13	0.31	2.13±0.31
266	Sales workers, furniture and home furnishings	8: NonHispanic	372	97,973	59.07	1.53	0.08	1.53±0.08
267	Sales workers, radio, TV, hi-fi and appliances	1: Total	452	119,117	66.40	1.53	0.07	1.53±0.07
267	Sales workers, radio, TV, hi-fi and appliances	2: Male	345	91,775	67.90	1.55	0.08	1.55±0.08
267	Sales workers, radio, TV, hi-fi and appliances	3: Female	107	27,342	61.37	1.50	0.10	1.50±0.10
267	Sales workers, radio, TV, hi-fi and appliances	4: White	403	107,942	64.89	1.50	0.07	1.50±0.07
267	Sales workers, radio, TV, hi-fi and appliances	5: Black	33	6,979	69.65	2.21	0.40	2.21±0.40
267	Sales workers, radio, TV, hi-fi and appliances	6: Other	16	4,196	100.00
267	Sales workers, radio, TV, hi-fi and appliances	7: Hispanic	21	6,412	74.59	1.43	0.21	1.43±0.21
267	Sales workers, radio, TV, hi-fi and appliances	8: NonHispanic	431	112,705	65.94	1.54	0.07	1.54±0.07
268	Sales workers, hardware and building supplies	1: Total	444	116,569	67.24	1.66	0.08	1.66±0.08
268	Sales workers, hardware and building supplies	2: Male	350	92,969	67.26	1.66	0.09	1.66±0.09
268	Sales workers, hardware and building supplies	3: Female	94	23,600	67.18	1.68	0.17	1.68±0.17
268	Sales workers, hardware and building supplies	4: White	428	112,288	66.72	1.67	0.08	1.67±0.08
268	Sales workers, hardware and building supplies	5: Black	11	2,839	71.39	1.51	0.47	1.51±0.47
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	74.38	1.00	0.00	1.00±0.00
268	Sales workers, hardware and building supplies	8: NonHispanic	430	113,094	67.02	1.68	0.08	1.68±0.08
269	Sales workers, parts	1: Total	525	138,870	70.89	1.50	0.11	1.50±0.11
269	Sales workers, parts	2: Male	474	125,177	70.46	1.40	0.06	1.40±0.06
269	Sales workers, parts	3: Female	51	13,693	74.88	2.65	0.96	2.65±0.96
269	Sales workers, parts	4: White	492	129,759	70.24	1.51	0.12	1.51±0.12
269	Sales workers, parts	5: Black	26	7,235	75.13	1.43	0.33	1.43±0.33
269	Sales workers, parts	6: Other	7	1,876	100.00
269	Sales workers, parts	7: Hispanic	32	8,300	88.41	1.00	0.00	1.00±0.00
269	Sales workers, parts	8: NonHispanic	493	130,569	69.78	1.52	0.12	1.52±0.12
274	Sales workers, other commodities	1: Total	8,281	2,118,672	63.32	1.61	0.02	1.61±0.02
274	Sales workers, other commodities	2: Male	2,889	764,573	65.76	1.50	0.03	1.50±0.03
274	Sales workers, other commodities	3: Female	5,392	1,354,099	61.94	1.66	0.03	1.66±0.03
274	Sales workers, other commodities	4: White	7,370	1,900,230	62.56	1.62	0.02	1.62±0.02
274	Sales workers, other commodities	5: Black	650	142,383	69.07	1.42	0.05	1.42±0.05
274	Sales workers, other commodities	6: Other	261	76,059	71.36	1.54	0.16	1.54±0.16
274	Sales workers, other commodities	7: Hispanic	537	137,695	67.37	1.65	0.08	1.65±0.08
274	Sales workers, other commodities	8: NonHispanic	7,744	1,980,977	63.03	1.60	0.02	1.60±0.02
275	Sales counter clerks	1: Total	715	182,795	67.80	1.60	0.07	1.60±0.07
275	Sales counter clerks	2: Male	234	62,397	69.10	1.57	0.11	1.57±0.11
275	Sales counter clerks	3: Female	481	120,397	67.13	1.62	0.09	1.62±0.09
275	Sales counter clerks	4: White	556	145,649	65.59	1.62	0.08	1.62±0.08
275	Sales counter clerks	5: Black	87	18,053	68.43	1.50	0.14	1.50±0.14
275	Sales counter clerks	6: Other	72	19,093	84.05	1.55	0.33	1.55±0.33
275	Sales counter clerks	7: Hispanic	63	17,033	78.25	1.34	0.18	1.34±0.18
275	Sales counter clerks	8: NonHispanic	652	165,762	66.73	1.62	0.08	1.62±0.08
276	Cashiers	1: Total	8,164	2,043,195	63.83	1.63	0.02	1.63±0.02
276	Cashiers	2: Male	1,384	361,042	68.64	1.53	0.06	1.53±0.06
276	Cashiers	3: Female	6,780	1,682,152	62.80	1.64	0.02	1.64±0.02
276	Cashiers	4: White	6,314	1,619,868	62.07	1.63	0.02	1.63±0.02
276	Cashiers	5: Black	1,444	312,261	68.49	1.50	0.05	1.50±0.05
276	Cashiers	6: Other	406	111,066	76.50	1.89	0.26	1.89±0.26
276	Cashiers	7: Hispanic	743	187,024	73.66	1.63	0.09	1.63±0.09
276	Cashiers	8: NonHispanic	7,421	1,856,171	62.84	1.62	0.02	1.62±0.02
277	Street and door-to-door sales workers	1: Total	1,084	276,408	53.55	1.89	0.06	1.89±0.06
277	Street and door-to-door sales workers	2: Male	258	68,964	64.85	1.61	0.10	1.61±0.10
277	Street and door-to-door sales workers	3: Female	826	207,444	49.79	1.95	0.07	1.95±0.07
277	Street and door-to-door sales workers	4: White	973	251,242	52.64	1.89	0.06	1.89±0.06
277	Street and door-to-door sales workers	5: Black	96	21,783	65.84	1.86	0.19	1.86±0.19
277	Street and door-to-door sales workers	6: Other	15	3,383	42.17	2.05	0.50	2.05±0.50
277	Street and door-to-door sales workers	7: Hispanic	73	18,747	65.14	2.06	0.26	2.06±0.26
277	Street and door-to-door sales workers	8: NonHispanic	1,011	257,661	52.70	1.88	0.06	1.88±0.06
303	Supervisors, general office	1: Total	1,807	456,019	58.54	1.62	0.05	1.62±0.05
303	Supervisors, general office	2: Male	471	127,692	59.91	1.50	0.07	1.50±0.07
303	Supervisors, general office	3: Female	1,336	328,327	58.00	1.66	0.06	1.66±0.06
303	Supervisors, general office	4: White	1,542	393,770	57.95	1.63	0.05	1.63±0.05
303	Supervisors, general office	5: Black	210	47,377	62.87	1.53	0.10	1.53±0.10
303	Supervisors, general office	6: Other	55	14,872	60.39	1.57	0.22	1.57±0.22
303	Supervisors, general office	7: Hispanic	100	26,940	62.85	1.69	0.16	1.69±0.16
303	Supervisors, general office	8: NonHispanic	1,707	429,079	58.27	1.61	0.05	1.61±0.05
307	Supervisors, distribution, scheduling, and adjusting clerks	1: Total	706	177,953	66.65	1.52	0.05	1.52±0.05
307	Supervisors, distribution, scheduling, and adjusting clerks	2: Male	461	119,950	69.61	1.51	0.07	1.51±0.07
307	Supervisors, distribution, scheduling, and adjusting clerks	3: Female	245	58,003	60.54	1.55	0.09	1.55±0.09
307	Supervisors, distribution, scheduling, and adjusting clerks	4: White	561	145,138	66.06	1.52	0.06	1.52±0.06
307	Supervisors, distribution, scheduling, and adjusting clerks	5: Black	128	28,601	67.83	1.57	0.14	1.57±0.14
307	Supervisors, distribution, scheduling, and adjusting clerks	6: Other	17	4,214	79.10	1.53	0.25	1.53±0.25
307	Supervisors, distribution, scheduling, and adjusting clerks	7: Hispanic	49	12,491	71.25	1.57	0.29	1.57±0.29
307	Supervisors, distribution, scheduling, and adjusting clerks	8: NonHispanic	657	165,462	66.30	1.52	0.06	1.52±0.06
308	Computer operators	1: Total	2,629	659,841	62.41	1.53	0.03	1.53±0.03
308	Computer operators	2: Male	880	234,917	63.54	1.50	0.05	1.50±0.05
308	Computer operators	3: Female	1,749	424,925	61.79	1.55	0.04	1.55±0.04
308	Computer operators	4: White	2,105	543,263	61.27	1.53	0.04	1.53±0.04
308	Computer operators	5: Black	436	92,859	66.12	1.54	0.08	1.54±0.08
308	Computer operators	6: Other	88	23,719	74.09	1.40	0.18	1.40±0.18
308	Computer operators	7: Hispanic	159	42,368	77.34	1.32	0.10	1.32±0.10
308	Computer operators	8: NonHispanic	2,470	617,473	61.39	1.54	0.03	1.54±0.03
313	Secretaries	1: Total	15,276	3,828,302	60.42	1.63	0.01	1.63±0.01
313	Secretaries	2: Male	183	46,281	59.36	1.68	0.13	1.68±0.13
313	Secretaries	3: Female	15,093	3,782,021	60.44	1.63	0.01	1.63±0.01
313	Secretaries	4: White	13,564	3,453,562	59.95	1.63	0.01	1.63±0.01
313	Secretaries	5: Black	1,418	290,884	63.64	1.60	0.05	1.60±0.05
313	Secretaries	6: Other	294	83,856	68.87	1.36	0.07	1.36±0.07
313	Secretaries	7: Hispanic	890	229,081	67.98	1.51	0.06	1.51±0.06
313	Secretaries	8: NonHispanic	14,386	3,599,220	59.94	1.63	0.02	1.63±0.02
315	Typists	1: Total	2,109	515,090	59.78	1.67	0.04	1.67±0.04
315	Typists	2: Male	109	28,810	64.59	1.31	0.10	1.31±0.10
315	Typists	3: Female	2,000	486,281	59.50	1.69	0.04	1.69±0.04
315	Typists	4: White	1,587	407,125	58.11	1.71	0.04	1.71±0.04
315	Typists	5: Black	445	88,156	65.65	1.43	0.07	1.43±0.07
315	Typists	6: Other	77	19,809	68.12	1.55	0.15	1.55±0.15
315	Typists	7: Hispanic	153	36,679	62.32	1.46	0.11	1.46±0.11
315	Typists	8: NonHispanic	1,956	478,411	59.59	1.68	0.04	1.68±0.04
316	Interviewers	1: Total	581	146,720	57.84	1.66	0.06	1.66±0.06
316	Interviewers	2: Male	69	18,133	62.22	1.75	0.23	1.75±0.23
316	Interviewers	3: Female	512	128,587	57.22	1.65	0.06	1.65±0.06
316	Interviewers	4: White	479	126,116	56.53	1.67	0.07	1.67±0.07
316	Interviewers	5: Black	92	18,343	64.71	1.59	0.13	1.59±0.13
316	Interviewers	6: Other	10	2,261	74.95	2.00	0.00	2.00±0.00
316	Interviewers	7: Hispanic	38	9,918	64.55	1.64	0.21	1.64±0.21
316	Interviewers	8: NonHispanic	543	136,801	57.35	1.66	0.06	1.66±0.06
318	Transportation ticket and reservation agents	1: Total	642	164,670	66.88	1.62	0.08	1.62±0.08
318	Transportation ticket and reservation agents	2: Male	214	56,559	72.67	1.52	0.08	1.52±0.08
318	Transportation ticket and reservation agents	3: Female	428	108,111	63.85	1.66	0.10	1.66±0.10
318	Transportation ticket and reservation agents	4: White	533	138,098	65.08	1.60	0.07	1.60±0.07
318	Transportation ticket and reservation agents	5: Black	80	18,274	72.85	1.90	0.40	1.90±0.40
318	Transportation ticket and reservation agents	6: Other	29	8,299	83.67	1.32	0.25	1.32±0.25
318	Transportation ticket and reservation agents	7: Hispanic	54	13,923	66.73	1.48	0.13	1.48±0.13
318	Transportation ticket and reservation agents	8: NonHispanic	588	150,747	66.90	1.63	0.08	1.63±0.08
319	Receptionists	1: Total	3,010	747,566	59.47	1.65	0.03	1.65±0.03
319	Receptionists	2: Male	99	26,737	68.36	2.07	0.29	2.07±0.29
319	Receptionists	3: Female	2,911	720,830	59.14	1.64	0.03	1.64±0.03
319	Receptionists	4: White	2,649	671,925	58.71	1.66	0.04	1.66±0.04
319	Receptionists	5: Black	294	57,688	66.02	1.47	0.08	1.47±0.08
319	Receptionists	6: Other	67	17,953	67.19	1.71	0.22	1.71±0.22
319	Receptionists	7: Hispanic	270	70,963	64.26	1.55	0.12	1.55±0.12
319	Receptionists	8: NonHispanic	2,740	676,603	58.97	1.66	0.03	1.66±0.03
327	Order clerks	1: Total	735	183,515	61.47	1.59	0.06	1.59±0.06
327	Order clerks	2: Male	183	48,147	63.63	1.41	0.09	1.41±0.09
327	Order clerks	3: Female	552	135,368	60.71	1.65	0.08	1.65±0.08
327	Order clerks	4: White	596	153,766	61.73	1.63	0.07	1.63±0.07
327	Order clerks	5: Black	125	25,840	54.96	1.40	0.09	1.40±0.09
327	Order clerks	6: Other	14	3,910	94.39	1.00	0.00	1.00±0.00
327	Order clerks	7: Hispanic	54	14,429	59.70	1.55	0.24	1.55±0.24
327	Order clerks	8: NonHispanic	681	169,086	61.62	1.60	0.06	1.60±0.06
329	Library clerks	1: Total	491	125,725	56.85	1.73	0.07	1.73±0.07
329	Library clerks	2: Male	96	27,366	58.05	1.67	0.16	1.67±0.16
329	Library clerks	3: Female	395	98,359	56.52	1.75	0.08	1.75±0.08
329	Library clerks	4: White	392	100,948	56.23	1.78	0.08	1.78±0.08
329	Library clerks	5: Black	68	15,408	63.77	1.65	0.18	1.65±0.18
329	Library clerks	6: Other	31	9,369	52.15	1.40	0.16	1.40±0.16
329	Library clerks	7: Hispanic	36	10,207	73.73	2.03	0.38	2.03±0.38
329	Library clerks	8: NonHispanic	455	115,518	55.36	1.72	0.07	1.72±0.07
335	File clerks	1: Total	790	193,069	60.31	1.70	0.07	1.70±0.07
335	File clerks	2: Male	165	40,157	67.58	1.50	0.13	1.50±0.13
335	File clerks	3: Female	625	152,912	58.40	1.74	0.08	1.74±0.08
335	File clerks	4: White	575	147,502	57.02	1.69	0.08	1.69±0.08
335	File clerks	5: Black	177	35,931	68.68	1.85	0.15	1.85±0.15
335	File clerks	6: Other	38	9,636	79.51	1.26	0.16	1.26±0.16
335	File clerks	7: Hispanic	76	19,217	64.40	1.39	0.14	1.39±0.14
335	File clerks	8: NonHispanic	714	173,853	59.86	1.73	0.08	1.73±0.08
336	Records clerks	1: Total	645	159,184	59.43	1.71	0.07	1.71±0.07
336	Records clerks	2: Male	128	34,088	65.81	1.65	0.14	1.65±0.14
336	Records clerks	3: Female	517	125,096	57.69	1.73	0.08	1.73±0.08
336	Records clerks	4: White	518	133,291	58.48	1.68	0.08	1.68±0.08
336	Records clerks	5: Black	102	19,718	61.40	1.87	0.23	1.87±0.23
336	Records clerks	6: Other	25	6,175	73.66	2.03	0.53	2.03±0.53
336	Records clerks	7: Hispanic	51	11,973	58.30	1.71	0.19	1.71±0.19
336	Records clerks	8: NonHispanic	594	147,211	59.52	1.71	0.08	1.71±0.08
337	Bookkeepers, accounting, and auditing clerks	1: Total	7,239	1,817,127	59.75	1.67	0.02	1.67±0.02
337	Bookkeepers, accounting, and auditing clerks	2: Male	622	163,476	64.52	1.61	0.07	1.61±0.07
337	Bookkeepers, accounting, and auditing clerks	3: Female	6,617	1,653,650	59.28	1.68	0.02	1.68±0.02
337	Bookkeepers, accounting, and auditing clerks	4: White	6,542	1,651,362	58.89	1.69	0.02	1.69±0.02
337	Bookkeepers, accounting, and auditing clerks	5: Black	446	97,144	67.61	1.48	0.07	1.48±0.07
337	Bookkeepers, accounting, and auditing clerks	6: Other	251	68,621	69.28	1.51	0.09	1.51±0.09
337	Bookkeepers, accounting, and auditing clerks	7: Hispanic	360	90,453	64.28	1.60	0.11	1.60±0.10
337	Bookkeepers, accounting, and auditing clerks	8: NonHispanic	6,879	1,726,674	59.51	1.68	0.02	1.68±0.02
338	Payroll and timekeeping clerks	1: Total	605	150,511	61.42	1.60	0.06	1.60±0.06
338	Payroll and timekeeping clerks	2: Male	63	15,990	60.69	1.39	0.10	1.39±0.10
338	Payroll and timekeeping clerks	3: Female	542	134,521	61.50	1.63	0.07	1.63±0.07
338	Payroll and timekeeping clerks	4: White	508	129,718	61.26	1.58	0.06	1.58±0.06
338	Payroll and timekeeping clerks	5: Black	75	14,808	62.14	1.81	0.25	1.81±0.25
338	Payroll and timekeeping clerks	6: Other	22	5,985	63.08	1.53	0.35	1.53±0.35
338	Payroll and timekeeping clerks	7: Hispanic	39	9,273	71.22	1.49	0.19	1.49±0.19
338	Payroll and timekeeping clerks	8: NonHispanic	566	141,237	60.77	1.61	0.06	1.61±0.06
339	Billing clerks	1: Total	657	165,608	61.17	1.69	0.07	1.69±0.07
339	Billing clerks	2: Male	55	15,055	58.10	1.99	0.33	1.99±0.33
339	Billing clerks	3: Female	602	150,553	61.48	1.66	0.07	1.66±0.07
339	Billing clerks	4: White	557	143,857	61.41	1.73	0.08	1.73±0.08
339	Billing clerks	5: Black	76	15,636	61.41	1.44	0.13	1.44±0.13
339	Billing clerks	6: Other	24	6,115	55.11	1.41	0.17	1.41±0.17
339	Billing clerks	7: Hispanic	33	8,191	65.79	1.47	0.21	1.47±0.21
339	Billing clerks	8: NonHispanic	624	157,417	60.93	1.70	0.08	1.70±0.08
348	Telephone operators	1: Total	795	195,396	57.39	1.77	0.07	1.77±0.07
348	Telephone operators	2: Male	76	20,290	64.03	1.70	0.19	1.70±0.19
348	Telephone operators	3: Female	719	175,105	56.62	1.78	0.07	1.78±0.07
348	Telephone operators	4: White	582	149,302	56.03	1.80	0.08	1.80±0.08
348	Telephone operators	5: Black	187	38,556	62.19	1.59	0.16	1.59±0.16
348	Telephone operators	6: Other	26	7,537	59.64	2.06	0.20	2.06±0.20
348	Telephone operators	7: Hispanic	43	11,184	61.72	1.23	0.11	1.23±0.11
348	Telephone operators	8: NonHispanic	752	184,211	57.12	1.80	0.07	1.80±0.07
354	Postal clerks, except mail carriers	1: Total	1,317	310,003	57.42	1.62	0.04	1.62±0.04
354	Postal clerks, except mail carriers	2: Male	697	170,471	58.69	1.64	0.06	1.64±0.06
354	Postal clerks, except mail carriers	3: Female	620	139,532	55.87	1.61	0.07	1.61±0.07
354	Postal clerks, except mail carriers	4: White	834	207,923	55.26	1.66	0.06	1.66±0.06
354	Postal clerks, except mail carriers	5: Black	405	82,256	61.89	1.53	0.07	1.53±0.07
354	Postal clerks, except mail carriers	6: Other	78	19,824	61.59	1.54	0.14	1.54±0.14
354	Postal clerks, except mail carriers	7: Hispanic	86	21,022	50.24	1.37	0.24	1.37±0.24
354	Postal clerks, except mail carriers	8: NonHispanic	1,231	288,981	57.95	1.65	0.04	1.65±0.04
355	Mail carriers, postal service	1: Total	1,216	303,415	58.33	1.59	0.05	1.59±0.05
355	Mail carriers, postal service	2: Male	858	217,151	58.83	1.59	0.05	1.59±0.05
355	Mail carriers, postal service	3: Female	358	86,263	57.06	1.61	0.11	1.61±0.11
355	Mail carriers, postal service	4: White	1,003	251,840	57.31	1.62	0.05	1.62±0.05
355	Mail carriers, postal service	5: Black	173	39,538	65.95	1.42	0.09	1.42±0.09
355	Mail carriers, postal service	6: Other	40	12,037	54.50	1.49	0.18	1.49±0.18
355	Mail carriers, postal service	7: Hispanic	80	21,353	57.52	1.65	0.14	1.65±0.14
355	Mail carriers, postal service	8: NonHispanic	1,136	282,061	58.39	1.59	0.05	1.59±0.05
356	Mail clerks, except postal service	1: Total	715	178,110	61.74	1.66	0.07	1.66±0.07
356	Mail clerks, except postal service	2: Male	384	101,596	63.06	1.51	0.07	1.51±0.07
356	Mail clerks, except postal service	3: Female	331	76,514	59.98	1.84	0.11	1.84±0.11
356	Mail clerks, except postal service	4: White	513	134,186	59.36	1.66	0.08	1.66±0.08
356	Mail clerks, except postal service	5: Black	180	38,112	68.10	1.52	0.12	1.52±0.12
356	Mail clerks, except postal service	6: Other	22	5,812	74.98	2.70	0.19	2.70±0.19
356	Mail clerks, except postal service	7: Hispanic	66	18,429	70.37	1.52	0.24	1.52±0.24
356	Mail clerks, except postal service	8: NonHispanic	649	159,682	60.74	1.67	0.07	1.67±0.07
357	Messengers	1: Total	487	123,316	59.55	1.66	0.07	1.66±0.07
357	Messengers	2: Male	368	94,001	55.59	1.64	0.08	1.64±0.08
357	Messengers	3: Female	119	29,314	72.23	1.78	0.19	1.78±0.19
357	Messengers	4: White	379	100,817	58.08	1.70	0.08	1.70±0.08
357	Messengers	5: Black	92	18,180	65.49	1.37	0.12	1.37±0.12
357	Messengers	6: Other	16	4,319	68.78	1.64	0.15	1.64±0.15
357	Messengers	7: Hispanic	48	12,004	63.56	1.49	0.18	1.49±0.18
357	Messengers	8: NonHispanic	439	111,312	59.11	1.68	0.08	1.68±0.08
359	Dispatchers	1: Total	724	180,789	58.90	1.73	0.10	1.73±0.10
359	Dispatchers	2: Male	357	91,223	63.60	1.62	0.11	1.62±0.11
359	Dispatchers	3: Female	367	89,566	54.11	1.81	0.16	1.81±0.16
359	Dispatchers	4: White	639	162,937	58.21	1.76	0.10	1.76±0.10
359	Dispatchers	5: Black	72	14,936	66.12	1.45	0.17	1.45±0.17
359	Dispatchers	6: Other	13	2,916	60.25	1.07	0.07	1.07±0.07
359	Dispatchers	7: Hispanic	40	10,432	67.90	1.44	0.20	1.44±0.20
359	Dispatchers	8: NonHispanic	684	170,357	58.35	1.74	0.10	1.74±0.10
363	Production coordinators	1: Total	813	204,210	59.57	1.51	0.04	1.51±0.04
363	Production coordinators	2: Male	423	109,596	60.52	1.54	0.06	1.54±0.06
363	Production coordinators	3: Female	390	94,614	58.47	1.47	0.06	1.47±0.06
363	Production coordinators	4: White	723	184,024	59.78	1.52	0.04	1.52±0.04
363	Production coordinators	5: Black	68	15,000	57.38	1.35	0.12	1.35±0.12
363	Production coordinators	6: Other	22	5,187	58.39	1.44	0.15	1.44±0.15
363	Production coordinators	7: Hispanic	35	8,866	61.49	1.24	0.13	1.24±0.13
363	Production coordinators	8: NonHispanic	778	195,344	59.48	1.52	0.04	1.52±0.04
364	Traffic, shipping, and receiving clerks	1: Total	2,034	531,212	64.74	1.53	0.04	1.53±0.04
364	Traffic, shipping, and receiving clerks	2: Male	1,447	384,452	67.25	1.51	0.04	1.51±0.04
364	Traffic, shipping, and receiving clerks	3: Female	587	146,759	58.17	1.58	0.07	1.58±0.07
364	Traffic, shipping, and receiving clerks	4: White	1,640	434,475	64.04	1.55	0.04	1.55±0.04
364	Traffic, shipping, and receiving clerks	5: Black	332	77,426	66.70	1.48	0.11	1.48±0.11
364	Traffic, shipping, and receiving clerks	6: Other	62	19,310	72.56	1.31	0.16	1.31±0.16
364	Traffic, shipping, and receiving clerks	7: Hispanic	207	57,292	71.82	1.49	0.12	1.49±0.12
364	Traffic, shipping, and receiving clerks	8: NonHispanic	1,827	473,920	63.88	1.53	0.04	1.53±0.04
365	Stock and inventory clerks	1: Total	2,303	585,833	62.30	1.61	0.03	1.61±0.03
365	Stock and inventory clerks	2: Male	1,359	355,972	65.99	1.49	0.04	1.49±0.04
365	Stock and inventory clerks	3: Female	944	229,861	56.57	1.75	0.06	1.75±0.06
365	Stock and inventory clerks	4: White	1,863	483,956	60.29	1.62	0.04	1.62±0.04
365	Stock and inventory clerks	5: Black	366	81,578	72.30	1.61	0.10	1.61±0.10
365	Stock and inventory clerks	6: Other	74	20,299	69.95	1.31	0.10	1.31±0.10
365	Stock and inventory clerks	7: Hispanic	198	49,932	73.15	1.45	0.13	1.45±0.13
365	Stock and inventory clerks	8: NonHispanic	2,105	535,901	61.28	1.62	0.04	1.62±0.04
373	Expediters	1: Total	666	169,140	63.52	1.61	0.07	1.61±0.07
373	Expediters	2: Male	218	58,752	62.19	1.44	0.09	1.44±0.09
373	Expediters	3: Female	448	110,388	64.24	1.70	0.10	1.70±0.10
373	Expediters	4: White	554	143,787	62.13	1.62	0.08	1.62±0.08
373	Expediters	5: Black	93	20,203	66.25	1.51	0.17	1.51±0.17
373	Expediters	6: Other	19	5,150	91.80	1.00	0.00	1.00±0.00
373	Expediters	7: Hispanic	50	13,687	64.54	1.22	0.09	1.22±0.09
373	Expediters	8: NonHispanic	616	155,453	63.44	1.64	0.07	1.64±0.07
375	Insurance adjusters, examiners, and investigators	1: Total	1,228	304,227	61.32	1.60	0.05	1.60±0.05
375	Insurance adjusters, examiners, and investigators	2: Male	336	88,079	65.95	1.57	0.10	1.57±0.10
375	Insurance adjusters, examiners, and investigators	3: Female	892	216,148	59.43	1.61	0.05	1.61±0.05
375	Insurance adjusters, examiners, and investigators	4: White	1,019	258,407	61.55	1.60	0.05	1.60±0.05
375	Insurance adjusters, examiners, and investigators	5: Black	176	37,062	60.79	1.59	0.12	1.59±0.12
375	Insurance adjusters, examiners, and investigators	6: Other	33	8,758	56.64	1.52	0.24	1.52±0.24
375	Insurance adjusters, examiners, and investigators	7: Hispanic	75	18,714	71.03	1.30	0.10	1.30±0.10
375	Insurance adjusters, examiners, and investigators	8: NonHispanic	1,153	285,513	60.68	1.61	0.05	1.61±0.05
376	Investigators and adjusters, except insurance	1: Total	2,527	636,942	60.89	1.62	0.03	1.62±0.03
376	Investigators and adjusters, except insurance	2: Male	623	163,828	65.63	1.54	0.07	1.54±0.07
376	Investigators and adjusters, except insurance	3: Female	1,904	473,114	59.25	1.64	0.03	1.64±0.03
376	Investigators and adjusters, except insurance	4: White	2,127	544,471	59.52	1.64	0.03	1.64±0.03
376	Investigators and adjusters, except insurance	5: Black	324	73,460	68.03	1.49	0.08	1.49±0.08
376	Investigators and adjusters, except insurance	6: Other	76	19,011	72.39	1.30	0.12	1.30±0.12
376	Investigators and adjusters, except insurance	7: Hispanic	182	45,242	58.12	1.44	0.10	1.44±0.10
376	Investigators and adjusters, except insurance	8: NonHispanic	2,345	591,700	61.10	1.63	0.03	1.63±0.03
378	Bill and account collectors	1: Total	519	133,916	59.25	1.82	0.10	1.82±0.10
378	Bill and account collectors	2: Male	180	48,058	60.41	1.71	0.14	1.71±0.14
378	Bill and account collectors	3: Female	339	85,858	58.61	1.88	0.14	1.88±0.14
378	Bill and account collectors	4: White	438	114,532	57.26	1.78	0.11	1.78±0.11
378	Bill and account collectors	5: Black	72	17,327	70.52	1.99	0.27	1.99±0.27
378	Bill and account collectors	6: Other	9	2,057	75.39	4.47	2.07	4.47±2.07
378	Bill and account collectors	7: Hispanic	51	11,787	75.68	1.82	0.50	1.82±0.50
378	Bill and account collectors	8: NonHispanic	468	122,129	57.67	1.82	0.10	1.82±0.10
379	General office clerks	1: Total	4,708	1,187,412	60.70	1.67	0.03	1.67±0.03
379	General office clerks	2: Male	804	217,103	64.32	1.60	0.07	1.60±0.07
379	General office clerks	3: Female	3,904	970,309	59.89	1.68	0.03	1.68±0.03
379	General office clerks	4: White	3,819	992,097	59.70	1.68	0.03	1.68±0.03
379	General office clerks	5: Black	714	147,483	63.76	1.60	0.07	1.60±0.07
379	General office clerks	6: Other	175	47,832	72.11	1.43	0.11	1.43±0.11
379	General office clerks	7: Hispanic	367	93,915	65.37	1.62	0.10	1.62±0.10
379	General office clerks	8: NonHispanic	4,341	1,093,497	60.30	1.67	0.03	1.67±0.03
383	Bank tellers	1: Total	1,791	452,802	67.67	1.53	0.04	1.53±0.04
383	Bank tellers	2: Male	150	39,851	72.80	1.40	0.10	1.40±0.10
383	Bank tellers	3: Female	1,641	412,951	67.18	1.54	0.04	1.54±0.04
383	Bank tellers	4: White	1,524	391,439	66.89	1.55	0.05	1.55±0.05
383	Bank tellers	5: Black	204	43,808	71.43	1.45	0.09	1.45±0.09
383	Bank tellers	6: Other	63	17,555	75.71	1.36	0.14	1.36±0.14
383	Bank tellers	7: Hispanic	132	34,169	77.51	1.49	0.20	1.49±0.20
383	Bank tellers	8: NonHispanic	1,659	418,633	66.87	1.53	0.04	1.53±0.04
385	Data-entry keyers	1: Total	2,007	485,635	60.66	1.75	0.04	1.75±0.04
385	Data-entry keyers	2: Male	284	73,725	65.73	1.62	0.10	1.62±0.10
385	Data-entry keyers	3: Female	1,723	411,909	59.75	1.77	0.05	1.77±0.05
385	Data-entry keyers	4: White	1,453	365,475	57.53	1.80	0.05	1.80±0.05
385	Data-entry keyers	5: Black	448	91,883	70.52	1.58	0.09	1.58±0.09
385	Data-entry keyers	6: Other	106	28,277	69.03	1.49	0.20	1.49±0.20
385	Data-entry keyers	7: Hispanic	143	35,687	67.26	1.39	0.08	1.39±0.08
385	Data-entry keyers	8: NonHispanic	1,864	449,947	60.13	1.78	0.05	1.78±0.05
387	Teachers aides	1: Total	1,625	388,785	59.46	1.66	0.05	1.66±0.05
387	Teachers aides	2: Male	86	21,414	69.44	1.54	0.20	1.54±0.20
387	Teachers aides	3: Female	1,539	367,370	58.88	1.67	0.05	1.67±0.05
387	Teachers aides	4: White	1,261	314,883	58.08	1.67	0.06	1.67±0.06
387	Teachers aides	5: Black	320	61,772	65.86	1.68	0.09	1.68±0.09
387	Teachers aides	6: Other	44	12,130	62.61	1.47	0.31	1.47±0.31
387	Teachers aides	7: Hispanic	210	52,219	70.44	1.48	0.09	1.48±0.09
387	Teachers aides	8: NonHispanic	1,415	336,566	57.76	1.68	0.06	1.68±0.06
389	Administrative support occs	1: Total	2,890	717,172	57.67	1.68	0.03	1.68±0.03
389	Administrative support occs	2: Male	650	169,607	63.99	1.66	0.07	1.66±0.07
389	Administrative support occs	3: Female	2,240	547,564	55.72	1.69	0.04	1.69±0.04
389	Administrative support occs	4: White	2,371	603,814	57.16	1.72	0.04	1.72±0.04
389	Administrative support occs	5: Black	405	82,999	59.40	1.51	0.07	1.51±0.07
389	Administrative support occs	6: Other	114	30,359	63.25	1.45	0.10	1.45±0.10
389	Administrative support occs	7: Hispanic	171	43,281	66.88	1.70	0.14	1.70±0.14
389	Administrative support occs	8: NonHispanic	2,719	673,891	57.08	1.68	0.03	1.68±0.03
406	Child care workers, private household	1: Total	735	184,736	54.84	1.85	0.08	1.85±0.08
406	Child care workers, private household	2: Male	13	4,252	65.88	1.60	0.33	1.60±0.33
406	Child care workers, private household	3: Female	722	180,484	54.58	1.85	0.08	1.85±0.08
406	Child care workers, private household	4: White	581	152,239	53.71	1.87	0.09	1.87±0.09
406	Child care workers, private household	5: Black	130	25,514	58.87	1.81	0.18	1.81±0.18
406	Child care workers, private household	6: Other	24	6,983	64.71	1.50	0.30	1.50±0.30
406	Child care workers, private household	7: Hispanic	77	20,558	73.22	1.64	0.15	1.64±0.15
406	Child care workers, private household	8: NonHispanic	658	164,178	52.54	1.86	0.09	1.86±0.09
407	Private household cleaners and servants	1: Total	2,307	515,168	53.72	1.86	0.04	1.86±0.04
407	Private household cleaners and servants	2: Male	112	27,623	65.26	1.58	0.19	1.58±0.19
407	Private household cleaners and servants	3: Female	2,195	487,545	53.07	1.87	0.04	1.87±0.04
407	Private household cleaners and servants	4: White	1,353	334,219	53.36	1.83	0.05	1.83±0.05
407	Private household cleaners and servants	5: Black	913	169,563	53.55	1.92	0.07	1.92±0.07
407	Private household cleaners and servants	6: Other	41	11,386	67.05	1.59	0.18	1.59±0.18
407	Private household cleaners and servants	7: Hispanic	380	93,012	70.20	1.59	0.08	1.59±0.08
407	Private household cleaners and servants	8: NonHispanic	1,927	422,156	50.09	1.90	0.04	1.90±0.04
417	Firefighting occs	1: Total	770	198,277	67.80	1.52	0.06	1.52±0.06
417	Firefighting occs	2: Male	750	193,361	67.95	1.52	0.06	1.52±0.06
417	Firefighting occs	3: Female	20	4,916	61.91	1.73	0.28	1.73±0.28
417	Firefighting occs	4: White	670	173,027	68.23	1.53	0.06	1.53±0.06
417	Firefighting occs	5: Black	82	19,686	60.84	1.56	0.17	1.56±0.17
417	Firefighting occs	6: Other	18	5,564	79.19	1.23	0.20	1.23±0.20
417	Firefighting occs	7: Hispanic	46	11,259	76.54	1.16	0.11	1.16±0.11
417	Firefighting occs	8: NonHispanic	724	187,017	67.28	1.54	0.06	1.54±0.06
418	Police and detectives, public service	1: Total	1,842	481,710	64.92	1.48	0.04	1.48±0.04
418	Police and detectives, public service	2: Male	1,617	427,880	65.07	1.48	0.04	1.48±0.04
418	Police and detectives, public service	3: Female	225	53,830	63.71	1.49	0.07	1.49±0.07
418	Police and detectives, public service	4: White	1,576	415,697	64.04	1.49	0.04	1.49±0.04
418	Police and detectives, public service	5: Black	235	57,495	71.12	1.40	0.09	1.40±0.09
418	Police and detectives, public service	6: Other	31	8,517	65.83	1.51	0.25	1.51±0.25
418	Police and detectives, public service	7: Hispanic	133	35,570	68.73	1.61	0.18	1.61±0.18
418	Police and detectives, public service	8: NonHispanic	1,709	446,140	64.61	1.47	0.04	1.47±0.04
423	Sheriffs/bailiffs/other law enforcement officers	1: Total	487	127,159	63.17	1.49	0.07	1.49±0.07
423	Sheriffs/bailiffs/other law enforcement officers	2: Male	406	108,386	64.82	1.50	0.08	1.50±0.08
423	Sheriffs/bailiffs/other law enforcement officers	3: Female	81	18,773	53.62	1.43	0.10	1.43±0.10
423	Sheriffs/bailiffs/other law enforcement officers	4: White	414	110,731	63.62	1.42	0.07	1.42±0.07
423	Sheriffs/bailiffs/other law enforcement officers	5: Black	66	14,369	61.00	1.85	0.21	1.85±0.21
423	Sheriffs/bailiffs/other law enforcement officers	6: Other	7	2,059	53.69	2.32	0.42	2.32±0.42
423	Sheriffs/bailiffs/other law enforcement officers	7: Hispanic	27	7,896	85.55	1.20	0.19	1.20±0.19
423	Sheriffs/bailiffs/other law enforcement officers	8: NonHispanic	460	119,263	61.68	1.49	0.07	1.49±0.07
424	Correctional institution officers	1: Total	853	219,927	63.43	1.55	0.05	1.55±0.05
424	Correctional institution officers	2: Male	657	173,618	65.21	1.47	0.05	1.47±0.05
424	Correctional institution officers	3: Female	196	46,309	56.72	1.80	0.18	1.80±0.18
424	Correctional institution officers	4: White	598	156,718	60.82	1.58	0.06	1.58±0.06
424	Correctional institution officers	5: Black	246	60,620	72.11	1.46	0.13	1.46±0.13
424	Correctional institution officers	6: Other	9	2,589	17.83	1.37	0.15	1.37±0.15
424	Correctional institution officers	7: Hispanic	61	16,375	63.74	1.56	0.19	1.56±0.19
424	Correctional institution officers	8: NonHispanic	792	203,552	63.40	1.55	0.06	1.55±0.06
426	Guards and police, except public service	1: Total	2,571	650,456	59.32	1.71	0.04	1.71±0.04
426	Guards and police, except public service	2: Male	2,154	552,369	60.20	1.69	0.04	1.69±0.04
426	Guards and police, except public service	3: Female	417	98,086	54.38	1.78	0.10	1.78±0.10
426	Guards and police, except public service	4: White	1,811	480,103	57.00	1.77	0.05	1.77±0.05
426	Guards and police, except public service	5: Black	677	149,390	65.23	1.46	0.05	1.46±0.05
426	Guards and police, except public service	6: Other	83	20,963	70.22	1.46	0.14	1.46±0.14
426	Guards and police, except public service	7: Hispanic	197	50,594	64.10	1.34	0.07	1.34±0.07
426	Guards and police, except public service	8: NonHispanic	2,374	599,862	58.92	1.73	0.04	1.73±0.04
433	Supervisors, food preparation and service occs	1: Total	1,006	259,072	61.93	1.56	0.05	1.56±0.05
433	Supervisors, food preparation and service occs	2: Male	403	104,802	66.85	1.51	0.06	1.51±0.06
433	Supervisors, food preparation and service occs	3: Female	603	154,270	58.59	1.59	0.07	1.59±0.07
433	Supervisors, food preparation and service occs	4: White	770	204,666	59.99	1.58	0.05	1.58±0.05
433	Supervisors, food preparation and service occs	5: Black	168	34,444	65.22	1.47	0.10	1.47±0.10
433	Supervisors, food preparation and service occs	6: Other	68	19,962	76.18	1.37	0.12	1.37±0.12
433	Supervisors, food preparation and service occs	7: Hispanic	87	25,251	77.55	1.66	0.21	1.66±0.21
433	Supervisors, food preparation and service occs	8: NonHispanic	919	233,821	60.25	1.55	0.05	1.55±0.05
434	Bartenders	1: Total	1,277	344,383	60.37	1.63	0.05	1.63±0.05
434	Bartenders	2: Male	609	165,509	65.30	1.59	0.06	1.59±0.06
434	Bartenders	3: Female	668	178,873	55.81	1.65	0.08	1.65±0.08
434	Bartenders	4: White	1,178	316,379	58.88	1.64	0.05	1.64±0.05
434	Bartenders	5: Black	62	16,534	77.96	1.33	0.14	1.33±0.14
434	Bartenders	6: Other	37	11,470	76.11	1.49	0.20	1.49±0.20
434	Bartenders	7: Hispanic	73	19,323	61.01	1.46	0.17	1.46±0.17
434	Bartenders	8: NonHispanic	1,204	325,059	60.34	1.64	0.05	1.64±0.05
435	Waiters and waitresses	1: Total	4,834	1,243,450	63.79	1.61	0.03	1.61±0.03
435	Waiters and waitresses	2: Male	831	223,627	73.83	1.38	0.05	1.38±0.05
435	Waiters and waitresses	3: Female	4,003	1,019,824	61.58	1.64	0.03	1.64±0.03
435	Waiters and waitresses	4: White	4,303	1,111,262	62.82	1.61	0.03	1.61±0.03
435	Waiters and waitresses	5: Black	276	61,054	74.06	1.50	0.11	1.50±0.11
435	Waiters and waitresses	6: Other	255	71,135	70.12	1.74	0.15	1.74±0.15
435	Waiters and waitresses	7: Hispanic	372	95,550	69.68	1.69	0.12	1.69±0.12
435	Waiters and waitresses	8: NonHispanic	4,462	1,147,900	63.29	1.60	0.03	1.60±0.03
436	Cooks	1: Total	6,414	1,587,227	65.19	1.61	0.02	1.61±0.02
436	Cooks	2: Male	2,992	783,771	72.72	1.44	0.03	1.44±0.03
436	Cooks	3: Female	3,422	803,457	57.83	1.71	0.03	1.71±0.03
436	Cooks	4: White	4,547	1,172,926	63.01	1.63	0.03	1.63±0.03
436	Cooks	5: Black	1,439	300,435	68.54	1.57	0.05	1.57±0.05
436	Cooks	6: Other	428	113,866	78.76	1.45	0.08	1.45±0.08
436	Cooks	7: Hispanic	808	209,332	75.74	1.37	0.05	1.37±0.05
436	Cooks	8: NonHispanic	5,606	1,377,895	63.58	1.63	0.02	1.63±0.02
438	Food counter/fountain/related occs	1: Total	695	176,859	64.68	1.54	0.07	1.54±0.07
438	Food counter/fountain/related occs	2: Male	168	45,699	74.20	1.50	0.15	1.50±0.15
438	Food counter/fountain/related occs	3: Female	527	131,160	61.37	1.55	0.07	1.55±0.07
438	Food counter/fountain/related occs	4: White	567	146,014	63.57	1.56	0.07	1.56±0.07
438	Food counter/fountain/related occs	5: Black	94	19,953	68.70	1.54	0.20	1.54±0.20
438	Food counter/fountain/related occs	6: Other	34	10,892	72.28	1.19	0.12	1.19±0.12
438	Food counter/fountain/related occs	7: Hispanic	67	17,933	63.52	1.17	0.09	1.17±0.09
438	Food counter/fountain/related occs	8: NonHispanic	628	158,926	64.81	1.59	0.07	1.59±0.07
439	Kitchen workers, food preparation	1: Total	789	192,563	63.58	1.68	0.07	1.68±0.07
439	Kitchen workers, food preparation	2: Male	228	57,965	68.63	1.44	0.09	1.44±0.09
439	Kitchen workers, food preparation	3: Female	561	134,598	61.41	1.76	0.09	1.76±0.09
439	Kitchen workers, food preparation	4: White	625	157,272	62.75	1.73	0.08	1.73±0.08
439	Kitchen workers, food preparation	5: Black	131	26,793	65.55	1.48	0.18	1.48±0.18
439	Kitchen workers, food preparation	6: Other	33	8,499	72.79	1.10	0.10	1.10±0.10
439	Kitchen workers, food preparation	7: Hispanic	110	27,503	71.94	1.56	0.20	1.56±0.20
439	Kitchen workers, food preparation	8: NonHispanic	679	165,061	62.19	1.69	0.08	1.69±0.08
443	Waiters/waitresses assistants	1: Total	1,045	264,739	68.78	1.60	0.06	1.60±0.06
443	Waiters/waitresses assistants	2: Male	518	136,888	75.85	1.49	0.09	1.49±0.09
443	Waiters/waitresses assistants	3: Female	527	127,851	61.21	1.67	0.08	1.67±0.08
443	Waiters/waitresses assistants	4: White	751	198,354	68.04	1.65	0.07	1.65±0.07
443	Waiters/waitresses assistants	5: Black	217	45,895	68.32	1.42	0.09	1.42±0.09
443	Waiters/waitresses assistants	6: Other	77	20,490	76.96	1.57	0.32	1.57±0.32
443	Waiters/waitresses assistants	7: Hispanic	219	57,751	77.21	1.45	0.12	1.45±0.12
443	Waiters/waitresses assistants	8: NonHispanic	826	206,988	66.42	1.63	0.07	1.63±0.07
444	Miscellaneous food preparation occs	1: Total	2,037	501,893	61.14	1.66	0.04	1.66±0.04
444	Miscellaneous food preparation occs	2: Male	828	215,820	67.07	1.53	0.06	1.53±0.06
444	Miscellaneous food preparation occs	3: Female	1,209	286,073	56.67	1.73	0.05	1.73±0.05
444	Miscellaneous food preparation occs	4: White	1,446	370,694	59.10	1.73	0.05	1.73±0.05
444	Miscellaneous food preparation occs	5: Black	483	99,163	64.42	1.43	0.08	1.43±0.08
444	Miscellaneous food preparation occs	6: Other	108	32,036	74.62	1.47	0.13	1.47±0.13
444	Miscellaneous food preparation occs	7: Hispanic	344	84,834	75.00	1.64	0.10	1.64±0.10
444	Miscellaneous food preparation occs	8: NonHispanic	1,693	417,059	58.32	1.66	0.05	1.66±0.05
445	Dental assistants	1: Total	693	176,208	61.15	1.59	0.06	1.59±0.06
445	Dental assistants	2: Male	10	2,344	80.18	1.00	0.00	1.00±0.00
445	Dental assistants	3: Female	683	173,864	60.89	1.59	0.06	1.59±0.06
445	Dental assistants	4: White	624	158,379	60.53	1.58	0.06	1.58±0.06
445	Dental assistants	5: Black	37	9,318	65.39	1.74	0.21	1.74±0.21
445	Dental assistants	6: Other	32	8,511	68.14	1.53	0.30	1.53±0.30
445	Dental assistants	7: Hispanic	55	14,666	58.91	1.58	0.16	1.58±0.16
445	Dental assistants	8: NonHispanic	638	161,542	61.35	1.59	0.06	1.59±0.06
446	Health aides, except nursing	1: Total	1,368	333,037	58.66	1.67	0.05	1.67±0.05
446	Health aides, except nursing	2: Male	207	51,970	58.62	1.57	0.11	1.57±0.11
446	Health aides, except nursing	3: Female	1,161	281,067	58.66	1.69	0.06	1.69±0.06
446	Health aides, except nursing	4: White	1,007	257,471	55.79	1.68	0.05	1.68±0.05
446	Health aides, except nursing	5: Black	307	61,364	65.67	1.55	0.08	1.55±0.08
446	Health aides, except nursing	6: Other	54	14,202	80.44	2.05	0.57	2.05±0.57
446	Health aides, except nursing	7: Hispanic	111	28,147	68.12	1.49	0.14	1.49±0.14
446	Health aides, except nursing	8: NonHispanic	1,257	304,890	57.78	1.68	0.05	1.68±0.05
447	Nursing aides, orderlies, and attendants	1: Total	6,447	1,477,561	55.19	1.75	0.03	1.75±0.03
447	Nursing aides, orderlies, and attendants	2: Male	603	153,470	60.45	1.70	0.08	1.70±0.08
447	Nursing aides, orderlies, and attendants	3: Female	5,844	1,324,091	54.58	1.75	0.03	1.75±0.03
447	Nursing aides, orderlies, and attendants	4: White	3,846	961,155	53.25	1.76	0.03	1.76±0.03
447	Nursing aides, orderlies, and attendants	5: Black	2,377	458,338	58.12	1.69	0.04	1.69±0.04
447	Nursing aides, orderlies, and attendants	6: Other	224	58,068	64.19	1.85	0.17	1.85±0.17
447	Nursing aides, orderlies, and attendants	7: Hispanic	466	114,207	62.49	1.67	0.07	1.67±0.07
447	Nursing aides, orderlies, and attendants	8: NonHispanic	5,981	1,363,354	54.58	1.75	0.03	1.75±0.03
448	Supervisors, cleaning and building service workers	1: Total	661	159,703	59.14	1.68	0.07	1.68±0.07
448	Supervisors, cleaning and building service workers	2: Male	404	105,146	61.32	1.66	0.08	1.66±0.08
448	Supervisors, cleaning and building service workers	3: Female	257	54,556	54.94	1.70	0.11	1.70±0.11
448	Supervisors, cleaning and building service workers	4: White	446	114,658	56.99	1.67	0.08	1.67±0.08
448	Supervisors, cleaning and building service workers	5: Black	192	38,557	64.00	1.61	0.13	1.61±0.13
448	Supervisors, cleaning and building service workers	6: Other	23	6,487	68.21	2.36	0.71	2.36±0.71
448	Supervisors, cleaning and building service workers	7: Hispanic	66	16,618	76.84	2.19	0.46	2.19±0.46
448	Supervisors, cleaning and building service workers	8: NonHispanic	595	143,085	57.08	1.64	0.07	1.64±0.07
449	Maids and housemen	1: Total	2,366	551,376	60.51	1.63	0.04	1.63±0.04
449	Maids and housemen	2: Male	388	96,994	66.77	1.37	0.06	1.37±0.06
449	Maids and housemen	3: Female	1,978	454,381	59.17	1.68	0.04	1.68±0.04
449	Maids and housemen	4: White	1,409	354,519	58.80	1.67	0.05	1.67±0.05
449	Maids and housemen	5: Black	835	163,377	63.02	1.59	0.07	1.59±0.07
449	Maids and housemen	6: Other	122	33,480	66.36	1.35	0.08	1.35±0.08
449	Maids and housemen	7: Hispanic	367	92,528	68.33	1.57	0.07	1.57±0.07
449	Maids and housemen	8: NonHispanic	1,999	458,848	58.93	1.64	0.04	1.64±0.04
453	Janitors and cleaners	1: Total	8,601	2,067,101	59.35	1.66	0.02	1.66±0.02
453	Janitors and cleaners	2: Male	5,744	1,409,633	61.74	1.60	0.03	1.60±0.03
453	Janitors and cleaners	3: Female	2,857	657,468	54.21	1.77	0.04	1.77±0.04
453	Janitors and cleaners	4: White	5,982	1,517,278	57.41	1.69	0.03	1.69±0.03
453	Janitors and cleaners	5: Black	2,303	459,686	64.42	1.57	0.04	1.57±0.04
453	Janitors and cleaners	6: Other	316	90,137	66.03	1.58	0.09	1.58±0.09
453	Janitors and cleaners	7: Hispanic	1,123	282,343	70.58	1.47	0.07	1.47±0.07
453	Janitors and cleaners	8: NonHispanic	7,478	1,784,758	57.57	1.68	0.02	1.68±0.02
458	Hairdressers and cosmetologists	1: Total	2,972	741,546	61.14	1.60	0.03	1.60±0.03
458	Hairdressers and cosmetologists	2: Male	264	68,233	68.11	1.60	0.12	1.60±0.12
458	Hairdressers and cosmetologists	3: Female	2,708	673,312	60.44	1.60	0.03	1.60±0.03
458	Hairdressers and cosmetologists	4: White	2,544	648,508	60.83	1.60	0.03	1.60±0.03
458	Hairdressers and cosmetologists	5: Black	306	60,742	64.26	1.60	0.10	1.60±0.10
458	Hairdressers and cosmetologists	6: Other	122	32,296	61.59	1.50	0.15	1.50±0.15
458	Hairdressers and cosmetologists	7: Hispanic	192	51,330	69.43	1.49	0.14	1.49±0.14
458	Hairdressers and cosmetologists	8: NonHispanic	2,780	690,216	60.53	1.61	0.03	1.61±0.03
459	Attendants, amusement and recreation facilities	1: Total	442	120,428	60.28	1.62	0.09	1.62±0.09
459	Attendants, amusement and recreation facilities	2: Male	277	77,155	63.76	1.53	0.09	1.53±0.09
459	Attendants, amusement and recreation facilities	3: Female	165	43,272	54.09	1.74	0.16	1.74±0.16
459	Attendants, amusement and recreation facilities	4: White	374	102,381	57.97	1.60	0.10	1.60±0.10
459	Attendants, amusement and recreation facilities	5: Black	42	9,840	79.44	2.34	0.28	2.34±0.28
459	Attendants, amusement and recreation facilities	6: Other	26	8,206	66.23	1.42	0.23	1.42±0.23
459	Attendants, amusement and recreation facilities	7: Hispanic	28	6,990	67.43	1.69	0.27	1.69±0.27
459	Attendants, amusement and recreation facilities	8: NonHispanic	414	113,438	59.84	1.61	0.09	1.61±0.09
468	Child care workers	1: Total	3,537	855,757	55.07	1.84	0.03	1.84±0.03
468	Child care workers	2: Male	117	30,500	55.65	1.59	0.19	1.59±0.19
468	Child care workers	3: Female	3,420	825,256	55.04	1.85	0.03	1.85±0.03
468	Child care workers	4: White	2,892	724,662	54.14	1.83	0.04	1.83±0.04
468	Child care workers	5: Black	567	110,510	57.29	1.93	0.09	1.93±0.09
468	Child care workers	6: Other	78	20,585	75.81	1.68	0.36	1.68±0.36
468	Child care workers	7: Hispanic	268	65,679	64.48	1.79	0.13	1.79±0.13
468	Child care workers	8: NonHispanic	3,269	790,077	54.28	1.84	0.03	1.84±0.03
469	Personal service occs, ne.c.	1: Total	894	222,426	57.42	1.83	0.06	1.83±0.06
469	Personal service occs, ne.c.	2: Male	277	71,762	61.94	1.71	0.11	1.71±0.11
469	Personal service occs, ne.c.	3: Female	617	150,664	55.26	1.88	0.08	1.88±0.08
469	Personal service occs, ne.c.	4: White	675	177,821	55.94	1.86	0.08	1.86±0.08
469	Personal service occs, ne.c.	5: Black	185	36,056	58.15	1.68	0.12	1.68±0.12
469	Personal service occs, ne.c.	6: Other	34	8,548	85.06	1.48	0.38	1.48±0.38
469	Personal service occs, ne.c.	7: Hispanic	94	24,343	67.70	1.97	0.26	1.97±0.26
469	Personal service occs, ne.c.	8: NonHispanic	800	198,082	56.15	1.82	0.06	1.82±0.06
473	Farmers, except horticultural	1: Total	4,899	1,166,644	58.60	1.71	0.04	1.71±0.04
473	Farmers, except horticultural	2: Male	4,077	975,641	59.09	1.70	0.04	1.70±0.04
473	Farmers, except horticultural	3: Female	822	191,002	56.10	1.76	0.08	1.76±0.08
473	Farmers, except horticultural	4: White	4,792	1,139,195	58.61	1.71	0.04	1.71±0.04
473	Farmers, except horticultural	5: Black	71	18,651	57.09	1.55	0.12	1.55±0.12
473	Farmers, except horticultural	6: Other	36	8,798	60.48	2.50	0.67	2.50±0.67
473	Farmers, except horticultural	7: Hispanic	88	22,847	69.88	1.96	0.24	1.96±0.24
473	Farmers, except horticultural	8: NonHispanic	4,811	1,143,797	58.38	1.71	0.04	1.71±0.04
475	Managers, farms, except horticultural	1: Total	692	167,631	63.37	1.74	0.09	1.74±0.09
475	Managers, farms, except horticultural	2: Male	568	139,372	65.53	1.72	0.11	1.72±0.11
475	Managers, farms, except horticultural	3: Female	124	28,260	52.67	1.81	0.13	1.81±0.13
475	Managers, farms, except horticultural	4: White	670	161,151	62.88	1.75	0.10	1.75±0.10
475	Managers, farms, except horticultural	5: Black	14	4,473	89.16	1.41	0.34	1.41±0.34
475	Managers, farms, except horticultural	6: Other	8	2,007	45.14	1.23	0.23	1.23±0.23
475	Managers, farms, except horticultural	7: Hispanic	52	12,531	81.36	1.28	0.25	1.28±0.25
475	Managers, farms, except horticultural	8: NonHispanic	640	155,100	61.91	1.76	0.09	1.76±0.09
479	Farm workers	1: Total	2,811	686,987	69.62	1.60	0.04	1.60±0.04
479	Farm workers	2: Male	2,210	544,374	71.24	1.57	0.04	1.57±0.04
479	Farm workers	3: Female	601	142,613	63.42	1.70	0.06	1.70±0.06
479	Farm workers	4: White	2,559	626,954	69.35	1.60	0.04	1.60±0.04
479	Farm workers	5: Black	209	50,321	72.98	1.58	0.12	1.58±0.12
479	Farm workers	6: Other	43	9,712	69.59	1.51	0.25	1.51±0.25
479	Farm workers	7: Hispanic	791	198,614	84.39	1.31	0.06	1.31±0.06
479	Farm workers	8: NonHispanic	2,020	488,373	63.61	1.65	0.04	1.65±0.04
485	Supervisors, related agricultural occs	1: Total	385	100,868	68.22	1.44	0.06	1.44±0.06
485	Supervisors, related agricultural occs	2: Male	352	92,700	69.08	1.44	0.06	1.44±0.06
485	Supervisors, related agricultural occs	3: Female	33	8,168	58.50	1.46	0.18	1.46±0.18
485	Supervisors, related agricultural occs	4: White	344	90,024	70.37	1.46	0.07	1.46±0.07
485	Supervisors, related agricultural occs	5: Black	33	8,543	54.67	1.42	0.19	1.42±0.19
485	Supervisors, related agricultural occs	6: Other	8	2,301	34.53	1.15	0.14	1.15±0.14
485	Supervisors, related agricultural occs	7: Hispanic	44	11,614	77.36	1.37	0.21	1.37±0.21
485	Supervisors, related agricultural occs	8: NonHispanic	341	89,254	67.03	1.45	0.07	1.45±0.07
486	Groundskeepers and gardeners, except farm	1: Total	2,502	632,818	67.03	1.63	0.04	1.63±0.04
486	Groundskeepers and gardeners, except farm	2: Male	2,322	588,437	67.98	1.63	0.04	1.63±0.04
486	Groundskeepers and gardeners, except farm	3: Female	180	44,381	54.45	1.61	0.13	1.61±0.13
486	Groundskeepers and gardeners, except farm	4: White	2,022	525,323	66.97	1.64	0.04	1.64±0.04
486	Groundskeepers and gardeners, except farm	5: Black	409	87,800	67.30	1.61	0.10	1.61±0.10
486	Groundskeepers and gardeners, except farm	6: Other	71	19,695	67.35	1.33	0.10	1.33±0.10
486	Groundskeepers and gardeners, except farm	7: Hispanic	464	117,128	84.27	1.40	0.10	1.40±0.10
486	Groundskeepers and gardeners, except farm	8: NonHispanic	2,038	515,690	63.12	1.65	0.04	1.65±0.04
496	Timber cutting and logging occs	1: Total	398	104,819	63.94	1.61	0.08	1.61±0.08
496	Timber cutting and logging occs	2: Male	384	101,439	63.84	1.61	0.08	1.61±0.08
496	Timber cutting and logging occs	3: Female	14	3,379	66.95	1.37	0.21	1.37±0.21
496	Timber cutting and logging occs	4: White	337	89,520	63.85	1.62	0.09	1.62±0.09
496	Timber cutting and logging occs	5: Black	59	14,842	63.38	1.52	0.13	1.52±0.13
496	Timber cutting and logging occs	6: Other	2	456	100.00
496	Timber cutting and logging occs	7: Hispanic	12	2,739	84.63	1.00	0.00	1.00±0.00
496	Timber cutting and logging occs	8: NonHispanic	386	102,079	63.38	1.61	0.08	1.61±0.08
503	Supervisors, mechanics and repairers	1: Total	1,106	282,895	60.25	1.64	0.05	1.64±0.05
503	Supervisors, mechanics and repairers	2: Male	1,033	265,131	60.11	1.64	0.05	1.64±0.05
503	Supervisors, mechanics and repairers	3: Female	73	17,764	62.39	1.60	0.16	1.60±0.16
503	Supervisors, mechanics and repairers	4: White	1,003	261,524	59.69	1.64	0.06	1.64±0.06
503	Supervisors, mechanics and repairers	5: Black	78	14,507	72.19	1.21	0.11	1.21±0.11
503	Supervisors, mechanics and repairers	6: Other	25	6,865	56.35	1.92	0.23	1.92±0.23
503	Supervisors, mechanics and repairers	7: Hispanic	46	12,316	55.20	1.28	0.11	1.28±0.11
503	Supervisors, mechanics and repairers	8: NonHispanic	1,060	270,579	60.48	1.65	0.05	1.65±0.05
505	Automobile mechanics	1: Total	3,553	924,831	65.83	1.47	0.02	1.47±0.02
505	Automobile mechanics	2: Male	3,504	911,752	66.00	1.47	0.02	1.47±0.02
505	Automobile mechanics	3: Female	49	13,079	53.56	1.52	0.20	1.52±0.20
505	Automobile mechanics	4: White	3,122	823,872	65.40	1.49	0.03	1.49±0.03
505	Automobile mechanics	5: Black	335	74,283	67.05	1.36	0.07	1.36±0.07
505	Automobile mechanics	6: Other	96	26,676	75.64	1.39	0.16	1.39±0.16
505	Automobile mechanics	7: Hispanic	312	84,143	76.43	1.42	0.11	1.42±0.11
505	Automobile mechanics	8: NonHispanic	3,241	840,688	64.76	1.48	0.03	1.48±0.03
507	Bus, truck, and stationary engine mechanics	1: Total	1,208	312,281	63.81	1.57	0.06	1.57±0.06
507	Bus, truck, and stationary engine mechanics	2: Male	1,196	309,444	64.13	1.57	0.06	1.57±0.06
507	Bus, truck, and stationary engine mechanics	3: Female	12	2,837	29.24	1.60	0.34	1.60±0.34
507	Bus, truck, and stationary engine mechanics	4: White	1,068	279,594	63.09	1.56	0.06	1.56±0.06
507	Bus, truck, and stationary engine mechanics	5: Black	121	26,549	69.28	1.62	0.19	1.62±0.19
507	Bus, truck, and stationary engine mechanics	6: Other	19	6,137	73.10	2.22	0.80	2.22±0.80
507	Bus, truck, and stationary engine mechanics	7: Hispanic	83	21,696	67.24	1.11	0.11	1.11±0.11
507	Bus, truck, and stationary engine mechanics	8: NonHispanic	1,125	290,585	63.56	1.60	0.06	1.60±0.06
508	Aircraft engine mechanics	1: Total	526	139,849	64.72	1.66	0.07	1.66±0.07
508	Aircraft engine mechanics	2: Male	511	136,446	64.95	1.66	0.08	1.66±0.08
508	Aircraft engine mechanics	3: Female	15	3,403	55.38	1.50	0.22	1.50±0.22
508	Aircraft engine mechanics	4: White	442	119,200	63.38	1.67	0.08	1.67±0.08
508	Aircraft engine mechanics	5: Black	59	13,166	66.45	1.55	0.14	1.55±0.14
508	Aircraft engine mechanics	6: Other	25	7,483	83.05	1.44	0.25	1.44±0.25
508	Aircraft engine mechanics	7: Hispanic	59	16,273	64.93	1.35	0.10	1.35±0.10
508	Aircraft engine mechanics	8: NonHispanic	467	123,576	64.69	1.70	0.08	1.70±0.08
514	Automobile body and related repairers	1: Total	751	194,183	71.30	1.60	0.07	1.60±0.07
514	Automobile body and related repairers	2: Male	737	190,848	71.46	1.59	0.07	1.59±0.07
514	Automobile body and related repairers	3: Female	14	3,336	61.74	1.73	0.48	1.73±0.48
514	Automobile body and related repairers	4: White	686	180,530	70.56	1.62	0.07	1.62±0.07
514	Automobile body and related repairers	5: Black	49	9,605	79.49	1.21	0.16	1.21±0.16
514	Automobile body and related repairers	6: Other	16	4,048	84.59	1.00	0.00	1.00±0.00
514	Automobile body and related repairers	7: Hispanic	71	18,112	84.15	1.42	0.19	1.42±0.19
514	Automobile body and related repairers	8: NonHispanic	680	176,071	69.97	1.61	0.07	1.61±0.07
516	Heavy equipment mechanics	1: Total	626	162,026	61.97	1.62	0.07	1.62±0.07
516	Heavy equipment mechanics	2: Male	620	160,399	62.02	1.60	0.07	1.60±0.07
516	Heavy equipment mechanics	3: Female	6	1,627	56.56	3.70	0.56	3.70±0.56
516	Heavy equipment mechanics	4: White	570	148,046	61.88	1.63	0.08	1.63±0.08
516	Heavy equipment mechanics	5: Black	45	10,117	71.89	1.31	0.18	1.31±0.18
516	Heavy equipment mechanics	6: Other	11	3,863	39.22	1.87	0.49	1.87±0.49
516	Heavy equipment mechanics	7: Hispanic	38	9,945	50.70	1.36	0.23	1.36±0.23
516	Heavy equipment mechanics	8: NonHispanic	588	152,082	62.70	1.64	0.08	1.64±0.08
518	Industrial machinery repairers	1: Total	1,664	423,173	62.61	1.52	0.04	1.52±0.04
518	Industrial machinery repairers	2: Male	1,603	407,439	62.17	1.52	0.04	1.52±0.04
518	Industrial machinery repairers	3: Female	61	15,734	73.84	1.68	0.25	1.68±0.25
518	Industrial machinery repairers	4: White	1,482	378,313	61.81	1.54	0.04	1.54±0.04
518	Industrial machinery repairers	5: Black	147	35,436	70.82	1.30	0.08	1.30±0.08
518	Industrial machinery repairers	6: Other	35	9,424	63.81	1.31	0.15	1.31±0.15
518	Industrial machinery repairers	7: Hispanic	117	29,582	72.59	1.61	0.15	1.61±0.15
518	Industrial machinery repairers	8: NonHispanic	1,547	393,591	61.86	1.52	0.04	1.52±0.04
523	Electronic repairers, communication/industrial equipment	1: Total	647	169,027	66.38	1.54	0.08	1.54±0.08
523	Electronic repairers, communication/industrial equipment	2: Male	582	153,324	67.89	1.53	0.09	1.53±0.09
523	Electronic repairers, communication/industrial equipment	3: Female	65	15,702	51.68	1.66	0.17	1.66±0.17
523	Electronic repairers, communication/industrial equipment	4: White	540	142,679	64.82	1.56	0.08	1.56±0.08
523	Electronic repairers, communication/industrial equipment	5: Black	89	21,472	71.18	1.44	0.25	1.44±0.25
523	Electronic repairers, communication/industrial equipment	6: Other	18	4,875	90.82	1.00	0.00	1.00±0.00
523	Electronic repairers, communication/industrial equipment	7: Hispanic	50	13,124	65.49	1.30	0.17	1.30±0.17
523	Electronic repairers, communication/industrial equipment	8: NonHispanic	597	155,903	66.46	1.56	0.08	1.56±0.08
529	Telephone installers and repairers	1: Total	644	162,838	63.28	1.51	0.06	1.51±0.06
529	Telephone installers and repairers	2: Male	567	144,286	63.77	1.49	0.06	1.49±0.06
529	Telephone installers and repairers	3: Female	77	18,552	59.45	1.63	0.16	1.63±0.16
529	Telephone installers and repairers	4: White	571	144,681	62.32	1.51	0.06	1.51±0.06
529	Telephone installers and repairers	5: Black	60	15,049	72.16	1.35	0.15	1.35±0.15
529	Telephone installers and repairers	6: Other	13	3,108	64.82	2.39	0.48	2.39±0.48
529	Telephone installers and repairers	7: Hispanic	47	12,142	76.90	1.40	0.17	1.40±0.17
529	Telephone installers and repairers	8: NonHispanic	597	150,696	62.18	1.52	0.06	1.52±0.06
534	Heating air conditioning, and refrigeration mechanics	1: Total	848	225,091	64.63	1.55	0.05	1.55±0.05
534	Heating air conditioning, and refrigeration mechanics	2: Male	844	224,245	64.68	1.55	0.05	1.55±0.05
534	Heating air conditioning, and refrigeration mechanics	3: Female	4	846	50.86	1.00	0.00	1.00±0.00
534	Heating air conditioning, and refrigeration mechanics	4: White	785	208,347	63.84	1.54	0.05	1.54±0.05
534	Heating air conditioning, and refrigeration mechanics	5: Black	46	11,777	75.37	1.83	0.34	1.83±0.34
534	Heating air conditioning, and refrigeration mechanics	6: Other	17	4,968	72.40	1.49	0.16	1.49±0.16
534	Heating air conditioning, and refrigeration mechanics	7: Hispanic	61	15,365	77.12	1.18	0.10	1.18±0.10
534	Heating air conditioning, and refrigeration mechanics	8: NonHispanic	787	209,727	63.72	1.57	0.05	1.57±0.05
547	Specified mechanics and repairers	1: Total	994	257,127	60.16	1.62	0.07	1.62±0.07
547	Specified mechanics and repairers	2: Male	934	242,820	60.64	1.63	0.08	1.63±0.08
547	Specified mechanics and repairers	3: Female	60	14,307	52.02	1.54	0.17	1.54±0.17
547	Specified mechanics and repairers	4: White	874	227,503	59.31	1.63	0.08	1.63±0.08
547	Specified mechanics and repairers	5: Black	85	19,706	65.59	1.86	0.21	1.86±0.21
547	Specified mechanics and repairers	6: Other	35	9,917	68.86	1.07	0.07	1.07±0.07
547	Specified mechanics and repairers	7: Hispanic	85	21,620	75.55	1.59	0.25	1.59±0.25
547	Specified mechanics and repairers	8: NonHispanic	909	235,507	58.75	1.63	0.08	1.63±0.08
549	Not specified mechanics and repairers	1: Total	982	254,196	63.07	1.46	0.04	1.46±0.04
549	Not specified mechanics and repairers	2: Male	923	240,104	64.24	1.46	0.05	1.46±0.05
549	Not specified mechanics and repairers	3: Female	59	14,091	43.08	1.46	0.13	1.46±0.13
549	Not specified mechanics and repairers	4: White	841	218,993	62.63	1.47	0.05	1.47±0.05
549	Not specified mechanics and repairers	5: Black	119	29,737	68.14	1.33	0.12	1.33±0.12
549	Not specified mechanics and repairers	6: Other	22	5,465	53.04	1.74	0.37	1.74±0.37
549	Not specified mechanics and repairers	7: Hispanic	81	20,810	64.42	1.54	0.15	1.54±0.15
549	Not specified mechanics and repairers	8: NonHispanic	901	233,386	62.95	1.45	0.05	1.45±0.05
558	Supervisors, construction	1: Total	1,970	509,017	63.48	1.54	0.04	1.54±0.04
558	Supervisors, construction	2: Male	1,938	501,602	63.69	1.53	0.04	1.53±0.04
558	Supervisors, construction	3: Female	32	7,415	49.65	1.81	0.45	1.81±0.45
558	Supervisors, construction	4: White	1,824	477,148	62.88	1.55	0.04	1.55±0.04
558	Supervisors, construction	5: Black	116	23,959	73.26	1.35	0.15	1.35±0.15
558	Supervisors, construction	6: Other	30	7,909	70.46	1.27	0.15	1.27±0.15
558	Supervisors, construction	7: Hispanic	124	33,067	69.41	1.28	0.11	1.28±0.11
558	Supervisors, construction	8: NonHispanic	1,846	475,950	63.07	1.56	0.04	1.56±0.04
563	Brickmasons and stonemasons	1: Total	699	179,883	67.55	1.63	0.09	1.63±0.09
563	Brickmasons and stonemasons	2: Male	695	178,943	67.56	1.62	0.09	1.62±0.09
563	Brickmasons and stonemasons	3: Female	4	940	64.76	3.00	0.00	3.00±0.00
563	Brickmasons and stonemasons	4: White	574	151,238	66.39	1.66	0.10	1.66±0.10
563	Brickmasons and stonemasons	5: Black	114	25,281	76.60	1.37	0.12	1.37±0.12
563	Brickmasons and stonemasons	6: Other	11	3,363	51.65	1.66	0.33	1.66±0.33
563	Brickmasons and stonemasons	7: Hispanic	61	15,571	85.41	1.62	0.27	1.62±0.27
563	Brickmasons and stonemasons	8: NonHispanic	638	164,312	65.85	1.63	0.09	1.63±0.09
567	Carpenters	1: Total	5,112	1,336,839	67.19	1.53	0.03	1.53±0.03
567	Carpenters	2: Male	5,047	1,320,133	67.25	1.53	0.03	1.53±0.03
567	Carpenters	3: Female	65	16,705	62.46	1.59	0.16	1.59±0.16
567	Carpenters	4: White	4,685	1,234,330	66.72	1.53	0.03	1.53±0.03
567	Carpenters	5: Black	337	75,647	76.03	1.40	0.10	1.40±0.10
567	Carpenters	6: Other	90	26,862	63.83	1.74	0.19	1.74±0.19
567	Carpenters	7: Hispanic	388	102,190	78.88	1.31	0.06	1.31±0.06
567	Carpenters	8: NonHispanic	4,724	1,234,649	66.22	1.54	0.03	1.54±0.03
573	Drywall installers	1: Total	512	137,655	70.72	1.62	0.13	1.62±0.13
573	Drywall installers	2: Male	496	134,036	70.73	1.63	0.13	1.63±0.13
573	Drywall installers	3: Female	16	3,619	70.20	1.41	0.22	1.41±0.22
573	Drywall installers	4: White	458	123,513	70.60	1.58	0.12	1.58±0.12
573	Drywall installers	5: Black	42	9,959	70.19	1.42	0.20	1.42±0.20
573	Drywall installers	6: Other	12	4,183	75.68	3.92	1.11	3.92±1.11
573	Drywall installers	7: Hispanic	81	23,712	88.18	1.28	0.20	1.28±0.20
573	Drywall installers	8: NonHispanic	431	113,944	67.09	1.65	0.13	1.65±0.13
575	Electricians	1: Total	2,416	626,998	64.76	1.54	0.03	1.54±0.03
575	Electricians	2: Male	2,364	615,184	65.20	1.54	0.03	1.54±0.03
575	Electricians	3: Female	52	11,815	41.62	1.47	0.12	1.47±0.12
575	Electricians	4: White	2,187	574,256	64.05	1.54	0.03	1.54±0.03
575	Electricians	5: Black	158	33,466	73.02	1.37	0.16	1.37±0.16
575	Electricians	6: Other	71	19,276	71.44	1.71	0.29	1.71±0.29
575	Electricians	7: Hispanic	159	40,665	69.80	1.36	0.14	1.36±0.14
575	Electricians	8: NonHispanic	2,257	586,333	64.41	1.55	0.03	1.55±0.03
579	Painters, construction and maintenance	1: Total	1,918	495,214	67.85	1.52	0.04	1.52±0.04
579	Painters, construction and maintenance	2: Male	1,784	461,048	68.37	1.50	0.04	1.50±0.04
579	Painters, construction and maintenance	3: Female	134	34,166	60.90	1.75	0.20	1.75±0.20
579	Painters, construction and maintenance	4: White	1,667	439,798	66.89	1.53	0.04	1.53±0.04
579	Painters, construction and maintenance	5: Black	208	43,566	76.48	1.54	0.12	1.54±0.12
579	Painters, construction and maintenance	6: Other	43	11,850	71.83	1.06	0.06	1.06±0.06
579	Painters, construction and maintenance	7: Hispanic	264	70,062	76.41	1.25	0.08	1.25±0.08
579	Painters, construction and maintenance	8: NonHispanic	1,654	425,152	66.44	1.55	0.04	1.55±0.04
585	Plumbers, pipefitters, and steamfitters	1: Total	1,623	419,839	67.00	1.55	0.05	1.55±0.04
585	Plumbers, pipefitters, and steamfitters	2: Male	1,599	414,524	67.14	1.54	0.04	1.54±0.04
585	Plumbers, pipefitters, and steamfitters	3: Female	24	5,314	55.69	2.05	0.46	2.05±0.46
585	Plumbers, pipefitters, and steamfitters	4: White	1,458	380,160	65.94	1.54	0.05	1.54±0.05
585	Plumbers, pipefitters, and steamfitters	5: Black	138	32,057	77.36	1.80	0.23	1.80±0.23
585	Plumbers, pipefitters, and steamfitters	6: Other	27	7,622	75.97	1.15	0.14	1.15±0.14
585	Plumbers, pipefitters, and steamfitters	7: Hispanic	116	30,643	79.05	1.20	0.09	1.20±0.09
585	Plumbers, pipefitters, and steamfitters	8: NonHispanic	1,507	389,196	66.05	1.57	0.05	1.57±0.05
595	Roofers	1: Total	613	158,847	69.97	1.35	0.05	1.35±0.05
595	Roofers	2: Male	605	156,840	69.95	1.34	0.05	1.34±0.05
595	Roofers	3: Female	8	2,007	71.30	2.00	0.00	2.00±0.00
595	Roofers	4: White	530	139,456	69.17	1.37	0.05	1.37±0.05
595	Roofers	5: Black	66	14,822	76.39	1.22	0.16	1.22±0.16
595	Roofers	6: Other	17	4,569	73.43	1.00	0.00	1.00±0.00
595	Roofers	7: Hispanic	91	22,136	77.19	1.14	0.10	1.14±0.10
595	Roofers	8: NonHispanic	522	136,711	68.80	1.37	0.05	1.37±0.05
599	Construction trades, nec.	1: Total	662	169,750	64.94	1.54	0.05	1.54±0.05
599	Construction trades, nec.	2: Male	651	167,215	64.88	1.54	0.05	1.54±0.05
599	Construction trades, nec.	3: Female	11	2,535	68.75	1.74	0.24	1.74±0.24
599	Construction trades, nec.	4: White	570	149,659	65.35	1.57	0.06	1.57±0.06
599	Construction trades, nec.	5: Black	81	17,411	63.16	1.36	0.13	1.36±0.13
599	Construction trades, nec.	6: Other	11	2,680	53.38	1.00	0.00	1.00±0.00
599	Construction trades, nec.	7: Hispanic	70	17,771	85.15	1.55	0.19	1.55±0.19
599	Construction trades, nec.	8: NonHispanic	592	151,980	62.58	1.54	0.05	1.54±0.05
628	Supervisors, production occs	1: Total	4,333	1,092,668	64.94	1.56	0.03	1.56±0.03
628	Supervisors, production occs	2: Male	3,581	914,717	65.35	1.54	0.03	1.54±0.03
628	Supervisors, production occs	3: Female	752	177,951	62.79	1.67	0.07	1.67±0.07
628	Supervisors, production occs	4: White	3,811	972,493	64.25	1.56	0.03	1.56±0.03
628	Supervisors, production occs	5: Black	425	94,927	71.35	1.56	0.13	1.56±0.13
628	Supervisors, production occs	6: Other	97	25,248	67.32	1.48	0.16	1.48±0.16
628	Supervisors, production occs	7: Hispanic	322	81,072	76.01	1.26	0.08	1.26±0.08
628	Supervisors, production occs	8: NonHispanic	4,011	1,011,596	64.05	1.58	0.03	1.58±0.03
634	Tool and die makers	1: Total	551	143,231	64.87	1.56	0.06	1.56±0.06
634	Tool and die makers	2: Male	540	140,484	64.70	1.57	0.06	1.57±0.06
634	Tool and die makers	3: Female	11	2,747	73.50	1.00	0.00	1.00±0.00
634	Tool and die makers	4: White	528	138,039	64.80	1.58	0.07	1.58±0.07
634	Tool and die makers	5: Black	13	2,693	86.93	1.00	0.00	1.00±0.00
634	Tool and die makers	6: Other	10	2,499	44.92	1.15	0.15	1.15±0.15
634	Tool and die makers	7: Hispanic	14	3,410	80.12	1.00	0.00	1.00±0.00
634	Tool and die makers	8: NonHispanic	537	139,821	64.50	1.57	0.07	1.57±0.07
637	Machinists	1: Total	2,049	522,513	64.34	1.57	0.03	1.57±0.03
637	Machinists	2: Male	1,949	499,347	64.60	1.56	0.03	1.56±0.03
637	Machinists	3: Female	100	23,166	58.70	1.74	0.18	1.74±0.18
637	Machinists	4: White	1,856	479,828	63.55	1.58	0.03	1.58±0.03
637	Machinists	5: Black	132	27,803	70.83	1.28	0.11	1.28±0.11
637	Machinists	6: Other	61	14,883	77.60	1.57	0.26	1.57±0.26
637	Machinists	7: Hispanic	135	34,779	67.32	1.39	0.10	1.39±0.10
637	Machinists	8: NonHispanic	1,914	487,734	64.13	1.58	0.03	1.58±0.03
653	Sheet metal workers	1: Total	549	143,964	62.13	1.59	0.08	1.59±0.08
653	Sheet metal workers	2: Male	505	133,631	63.44	1.60	0.08	1.60±0.08
653	Sheet metal workers	3: Female	44	10,332	45.20	1.54	0.15	1.54±0.15
653	Sheet metal workers	4: White	487	129,086	63.38	1.56	0.07	1.56±0.07
653	Sheet metal workers	5: Black	45	9,795	45.99	1.70	0.18	1.70±0.18
653	Sheet metal workers	6: Other	17	5,082	61.56	1.99	0.52	1.99±0.52
653	Sheet metal workers	7: Hispanic	39	9,645	59.93	1.45	0.12	1.45±0.12
653	Sheet metal workers	8: NonHispanic	510	134,318	62.29	1.60	0.08	1.60±0.08
666	Dressmakers	1: Total	499	123,787	56.76	1.73	0.08	1.73±0.08
666	Dressmakers	2: Male	29	7,254	51.45	1.82	0.35	1.82±0.35
666	Dressmakers	3: Female	470	116,533	57.09	1.73	0.08	1.73±0.08
666	Dressmakers	4: White	392	98,967	54.64	1.76	0.09	1.76±0.09
666	Dressmakers	5: Black	60	11,937	61.40	1.67	0.27	1.67±0.27
666	Dressmakers	6: Other	47	12,883	68.70	1.49	0.21	1.49±0.21
666	Dressmakers	7: Hispanic	66	16,560	72.05	1.33	0.12	1.33±0.12
666	Dressmakers	8: NonHispanic	433	107,227	54.39	1.77	0.09	1.77±0.09
683	Electrical/electronic equipment assemblers	1: Total	921	230,284	64.36	1.61	0.06	1.61±0.06
683	Electrical/electronic equipment assemblers	2: Male	279	71,527	71.68	1.85	0.14	1.85±0.14
683	Electrical/electronic equipment assemblers	3: Female	642	158,757	61.06	1.54	0.06	1.54±0.06
683	Electrical/electronic equipment assemblers	4: White	688	177,005	60.73	1.65	0.06	1.65±0.06
683	Electrical/electronic equipment assemblers	5: Black	130	27,767	71.95	1.49	0.13	1.49±0.13
683	Electrical/electronic equipment assemblers	6: Other	103	25,511	81.28	1.31	0.15	1.31±0.15
683	Electrical/electronic equipment assemblers	7: Hispanic	151	43,150	72.29	1.49	0.13	1.49±0.13
683	Electrical/electronic equipment assemblers	8: NonHispanic	770	187,134	62.53	1.63	0.06	1.63±0.06
686	Butchers and meat cutters	1: Total	844	213,405	68.48	1.44	0.05	1.44±0.05
686	Butchers and meat cutters	2: Male	660	170,028	69.50	1.41	0.06	1.41±0.06
686	Butchers and meat cutters	3: Female	184	43,376	64.49	1.53	0.14	1.53±0.14
686	Butchers and meat cutters	4: White	652	169,041	67.88	1.41	0.06	1.41±0.06
686	Butchers and meat cutters	5: Black	142	30,558	69.41	1.70	0.18	1.70±0.18
686	Butchers and meat cutters	6: Other	50	13,805	73.76	1.15	0.15	1.15±0.15
686	Butchers and meat cutters	7: Hispanic	101	24,788	84.57	1.28	0.19	1.28±0.19
686	Butchers and meat cutters	8: NonHispanic	743	188,617	66.36	1.45	0.06	1.45±0.06
687	Bakers	1: Total	499	128,093	66.95	1.51	0.07	1.51±0.07
687	Bakers	2: Male	275	72,067	72.30	1.34	0.08	1.34±0.08
687	Bakers	3: Female	224	56,026	60.07	1.66	0.11	1.66±0.11
687	Bakers	4: White	408	104,895	63.59	1.47	0.07	1.47±0.07
687	Bakers	5: Black	58	13,101	78.90	2.12	0.53	2.12±0.53
687	Bakers	6: Other	33	10,096	86.36	1.34	0.25	1.34±0.25
687	Bakers	7: Hispanic	63	17,322	84.08	1.34	0.19	1.34±0.19
687	Bakers	8: NonHispanic	436	110,771	64.27	1.52	0.08	1.52±0.08
689	Inspectors, testers, and graders	1: Total	542	137,766	57.56	1.61	0.09	1.61±0.09
689	Inspectors, testers, and graders	2: Male	400	102,203	59.89	1.58	0.10	1.58±0.10
689	Inspectors, testers, and graders	3: Female	142	35,562	50.87	1.67	0.12	1.67±0.12
689	Inspectors, testers, and graders	4: White	453	116,868	55.18	1.58	0.10	1.58±0.10
689	Inspectors, testers, and graders	5: Black	64	13,777	70.40	1.88	0.20	1.88±0.20
689	Inspectors, testers, and graders	6: Other	25	7,121	71.78	1.68	0.35	1.68±0.35
689	Inspectors, testers, and graders	7: Hispanic	33	7,815	49.49	1.56	0.23	1.56±0.23
689	Inspectors, testers, and graders	8: NonHispanic	509	129,951	58.05	1.61	0.09	1.61±0.09
696	Stationary engineers	1: Total	593	149,560	61.55	1.80	0.09	1.80±0.09
696	Stationary engineers	2: Male	570	144,091	62.36	1.80	0.09	1.80±0.09
696	Stationary engineers	3: Female	23	5,468	40.06	1.79	0.29	1.79±0.29
696	Stationary engineers	4: White	508	131,075	60.79	1.82	0.09	1.82±0.09
696	Stationary engineers	5: Black	65	13,386	64.72	1.77	0.33	1.77±0.33
696	Stationary engineers	6: Other	20	5,098	72.65	1.00	0.00	1.00±0.00
696	Stationary engineers	7: Hispanic	23	7,371	70.06	1.44	0.31	1.44±0.31
696	Stationary engineers	8: NonHispanic	570	142,189	61.11	1.81	0.09	1.81±0.09
706	Punching and stamping press machine operators	1: Total	503	126,355	58.72	1.75	0.13	1.75±0.13
706	Punching and stamping press machine operators	2: Male	353	89,818	62.10	1.65	0.10	1.65±0.10
706	Punching and stamping press machine operators	3: Female	150	36,536	50.39	1.95	0.27	1.95±0.27
706	Punching and stamping press machine operators	4: White	435	112,659	58.67	1.78	0.15	1.78±0.15
706	Punching and stamping press machine operators	5: Black	61	12,003	59.77	1.62	0.27	1.62±0.27
706	Punching and stamping press machine operators	6: Other	7	1,693	54.31	1.13	0.14	1.13±0.14
706	Punching and stamping press machine operators	7: Hispanic	50	12,198	79.30	1.48	0.24	1.48±0.24
706	Punching and stamping press machine operators	8: NonHispanic	453	114,156	56.52	1.77	0.14	1.77±0.14
709	Grinding/abrading/buffing/polishing machine operators	1: Total	493	121,344	59.75	1.69	0.09	1.69±0.09
709	Grinding/abrading/buffing/polishing machine operators	2: Male	407	99,658	61.29	1.66	0.08	1.66±0.08
709	Grinding/abrading/buffing/polishing machine operators	3: Female	86	21,686	52.70	1.81	0.26	1.81±0.26
709	Grinding/abrading/buffing/polishing machine operators	4: White	419	105,584	60.89	1.73	0.10	1.73±0.10
709	Grinding/abrading/buffing/polishing machine operators	5: Black	64	13,419	52.21	1.48	0.11	1.48±0.11
709	Grinding/abrading/buffing/polishing machine operators	6: Other	10	2,341	51.93	1.37	0.21	1.37±0.21
709	Grinding/abrading/buffing/polishing machine operators	7: Hispanic	58	15,410	78.42	1.23	0.11	1.23±0.11
709	Grinding/abrading/buffing/polishing machine operators	8: NonHispanic	435	105,934	57.04	1.72	0.09	1.72±0.09
719	Molding and casting machine operators	1: Total	412	103,758	65.65	1.71	0.16	1.71±0.16
719	Molding and casting machine operators	2: Male	300	76,325	68.37	1.74	0.21	1.74±0.21
719	Molding and casting machine operators	3: Female	112	27,432	58.06	1.66	0.20	1.66±0.20
719	Molding and casting machine operators	4: White	340	86,981	63.73	1.60	0.12	1.60±0.12
719	Molding and casting machine operators	5: Black	61	14,078	74.28	2.81	1.05	2.81±1.05
719	Molding and casting machine operators	6: Other	11	2,699	82.25	1.00	0.00	1.00±0.00
719	Molding and casting machine operators	7: Hispanic	44	11,795	76.37	1.54	0.33	1.54±0.33
719	Molding and casting machine operators	8: NonHispanic	368	91,963	64.27	1.73	0.17	1.73±0.17
734	Printing press operators	1: Total	1,233	323,661	66.17	1.50	0.05	1.50±0.05
734	Printing press operators	2: Male	1,026	274,255	67.00	1.50	0.05	1.50±0.05
734	Printing press operators	3: Female	207	49,407	61.61	1.49	0.09	1.49±0.09
734	Printing press operators	4: White	1,066	284,389	64.89	1.49	0.05	1.49±0.05
734	Printing press operators	5: Black	122	26,343	69.51	1.54	0.16	1.54±0.16
734	Printing press operators	6: Other	45	12,929	87.58	1.57	0.28	1.57±0.28
734	Printing press operators	7: Hispanic	109	29,482	79.99	1.46	0.15	1.46±0.15
734	Printing press operators	8: NonHispanic	1,124	294,180	64.79	1.50	0.05	1.50±0.05
744	Textile sewing machine operators	1: Total	2,719	656,092	65.94	1.62	0.04	1.62±0.04
744	Textile sewing machine operators	2: Male	257	65,258	71.98	1.42	0.09	1.42±0.09
744	Textile sewing machine operators	3: Female	2,462	590,833	65.28	1.64	0.04	1.64±0.04
744	Textile sewing machine operators	4: White	1,900	475,318	62.90	1.66	0.04	1.66±0.04
744	Textile sewing machine operators	5: Black	600	125,913	71.56	1.46	0.05	1.46±0.05
744	Textile sewing machine operators	6: Other	219	54,860	79.46	1.55	0.13	1.55±0.13
744	Textile sewing machine operators	7: Hispanic	519	125,255	69.97	1.51	0.06	1.51±0.06
744	Textile sewing machine operators	8: NonHispanic	2,200	530,836	64.99	1.65	0.04	1.65±0.04
747	Pressing machine operators	1: Total	568	131,707	61.94	1.63	0.07	1.63±0.07
747	Pressing machine operators	2: Male	201	48,482	62.51	1.43	0.10	1.43±0.10
747	Pressing machine operators	3: Female	367	83,225	61.61	1.75	0.10	1.75±0.10
747	Pressing machine operators	4: White	349	89,223	58.63	1.63	0.08	1.63±0.08
747	Pressing machine operators	5: Black	189	35,105	65.55	1.64	0.16	1.64±0.16
747	Pressing machine operators	6: Other	30	7,379	84.90	1.61	0.24	1.61±0.24
747	Pressing machine operators	7: Hispanic	94	21,240	69.29	1.71	0.28	1.71±0.28
747	Pressing machine operators	8: NonHispanic	474	110,467	60.53	1.62	0.08	1.62±0.08
748	Laundering and dry cleaning machine operators	1: Total	734	174,095	60.97	1.78	0.07	1.78±0.07
748	Laundering and dry cleaning machine operators	2: Male	281	70,523	71.29	1.64	0.15	1.64±0.15
748	Laundering and dry cleaning machine operators	3: Female	453	103,572	53.95	1.84	0.09	1.84±0.09
748	Laundering and dry cleaning machine operators	4: White	501	127,444	60.29	1.81	0.10	1.81±0.10
748	Laundering and dry cleaning machine operators	5: Black	201	37,646	62.04	1.72	0.13	1.72±0.13
748	Laundering and dry cleaning machine operators	6: Other	32	9,005	66.22	1.52	0.23	1.52±0.23
748	Laundering and dry cleaning machine operators	7: Hispanic	108	26,935	73.28	1.44	0.18	1.44±0.18
748	Laundering and dry cleaning machine operators	8: NonHispanic	626	147,160	58.72	1.82	0.08	1.82±0.08
754	Packaging and filling machine operators	1: Total	1,556	381,818	65.15	1.56	0.04	1.56±0.04
754	Packaging and filling machine operators	2: Male	551	143,451	66.35	1.53	0.07	1.53±0.07
754	Packaging and filling machine operators	3: Female	1,005	238,367	64.43	1.58	0.05	1.58±0.05
754	Packaging and filling machine operators	4: White	1,197	300,360	62.95	1.57	0.05	1.57±0.05
754	Packaging and filling machine operators	5: Black	287	61,369	71.13	1.51	0.07	1.51±0.07
754	Packaging and filling machine operators	6: Other	72	20,088	79.83	1.52	0.28	1.52±0.28
754	Packaging and filling machine operators	7: Hispanic	326	81,690	79.09	1.51	0.11	1.51±0.11
754	Packaging and filling machine operators	8: NonHispanic	1,230	300,127	61.36	1.57	0.05	1.57±0.05
756	Mixing and blending machine operators	1: Total	491	123,593	63.21	1.50	0.08	1.50±0.08
756	Mixing and blending machine operators	2: Male	430	108,557	64.48	1.46	0.08	1.46±0.08
756	Mixing and blending machine operators	3: Female	61	15,036	54.05	1.68	0.21	1.68±0.21
756	Mixing and blending machine operators	4: White	389	101,261	62.31	1.52	0.08	1.52±0.08
756	Mixing and blending machine operators	5: Black	94	20,328	68.98	1.42	0.19	1.42±0.19
756	Mixing and blending machine operators	6: Other	8	2,005	49.84	1.23	0.23	1.23±0.23
756	Mixing and blending machine operators	7: Hispanic	64	15,189	75.66	1.55	0.32	1.55±0.32
756	Mixing and blending machine operators	8: NonHispanic	427	108,403	61.46	1.49	0.08	1.49±0.08
759	Painting and paint spraying machine operators	1: Total	734	184,736	66.63	1.46	0.05	1.46±0.05
759	Painting and paint spraying machine operators	2: Male	621	157,929	68.57	1.47	0.06	1.47±0.06
759	Painting and paint spraying machine operators	3: Female	113	26,807	55.20	1.41	0.11	1.41±0.11
759	Painting and paint spraying machine operators	4: White	595	152,631	65.95	1.47	0.05	1.47±0.05
759	Painting and paint spraying machine operators	5: Black	111	24,561	69.75	1.43	0.13	1.43±0.13
759	Painting and paint spraying machine operators	6: Other	28	7,544	70.18	1.20	0.13	1.20±0.13
759	Painting and paint spraying machine operators	7: Hispanic	126	31,543	77.83	1.47	0.18	1.47±0.18
759	Painting and paint spraying machine operators	8: NonHispanic	608	153,193	64.32	1.46	0.05	1.46±0.05
769	Slicing and cutting machine operators	1: Total	821	204,112	67.84	1.51	0.05	1.51±0.05
769	Slicing and cutting machine operators	2: Male	570	144,479	70.97	1.53	0.06	1.53±0.06
769	Slicing and cutting machine operators	3: Female	251	59,633	60.24	1.47	0.09	1.47±0.09
769	Slicing and cutting machine operators	4: White	641	163,199	67.09	1.54	0.06	1.54±0.06
769	Slicing and cutting machine operators	5: Black	146	31,649	70.02	1.27	0.07	1.27±0.07
769	Slicing and cutting machine operators	6: Other	34	9,264	73.56	1.61	0.36	1.61±0.36
769	Slicing and cutting machine operators	7: Hispanic	119	31,205	79.61	1.64	0.17	1.64±0.17
769	Slicing and cutting machine operators	8: NonHispanic	702	172,907	65.71	1.49	0.05	1.49±0.05
777	Miscellaneous machine operators	1: Total	3,648	912,207	64.43	1.60	0.03	1.60±0.03
777	Miscellaneous machine operators	2: Male	2,457	629,255	66.39	1.53	0.04	1.53±0.04
777	Miscellaneous machine operators	3: Female	1,191	282,952	60.07	1.72	0.05	1.72±0.05
777	Miscellaneous machine operators	4: White	2,831	728,381	62.90	1.59	0.04	1.59±0.04
777	Miscellaneous machine operators	5: Black	678	148,646	67.69	1.69	0.08	1.69±0.08
777	Miscellaneous machine operators	6: Other	139	35,180	82.21	1.33	0.12	1.33±0.12
777	Miscellaneous machine operators	7: Hispanic	466	117,840	74.29	1.56	0.09	1.56±0.09
777	Miscellaneous machine operators	8: NonHispanic	3,182	794,367	62.97	1.60	0.03	1.60±0.03
779	Machine operators, not specified	1: Total	2,122	528,820	63.95	1.56	0.04	1.56±0.04
779	Machine operators, not specified	2: Male	1,427	362,688	66.97	1.48	0.04	1.48±0.04
779	Machine operators, not specified	3: Female	695	166,133	57.37	1.70	0.07	1.70±0.07
779	Machine operators, not specified	4: White	1,672	425,180	62.54	1.57	0.04	1.57±0.04
779	Machine operators, not specified	5: Black	383	84,933	67.75	1.54	0.09	1.54±0.09
779	Machine operators, not specified	6: Other	67	18,707	78.79	1.30	0.20	1.30±0.20
779	Machine operators, not specified	7: Hispanic	217	55,980	81.60	1.56	0.15	1.56±0.15
779	Machine operators, not specified	8: NonHispanic	1,905	472,840	61.86	1.56	0.04	1.56±0.04
783	Welders and cutters	1: Total	2,341	597,287	63.25	1.50	0.04	1.50±0.04
783	Welders and cutters	2: Male	2,229	570,138	63.65	1.49	0.04	1.49±0.04
783	Welders and cutters	3: Female	112	27,148	54.89	1.60	0.14	1.60±0.14
783	Welders and cutters	4: White	2,032	523,193	62.27	1.51	0.04	1.51±0.04
783	Welders and cutters	5: Black	245	56,454	70.72	1.39	0.09	1.39±0.09
783	Welders and cutters	6: Other	64	17,640	68.24	1.38	0.16	1.38±0.16
783	Welders and cutters	7: Hispanic	256	65,552	76.49	1.31	0.07	1.31±0.07
783	Welders and cutters	8: NonHispanic	2,085	531,734	61.61	1.51	0.04	1.51±0.04
785	Assemblers	1: Total	4,153	1,026,023	62.07	1.64	0.03	1.64±0.03
785	Assemblers	2: Male	2,189	553,313	64.99	1.60	0.04	1.60±0.04
785	Assemblers	3: Female	1,964	472,709	58.65	1.67	0.04	1.67±0.04
785	Assemblers	4: White	3,268	828,216	60.87	1.65	0.03	1.65±0.03
785	Assemblers	5: Black	694	149,750	64.95	1.62	0.07	1.62±0.07
785	Assemblers	6: Other	191	48,057	73.76	1.33	0.11	1.33±0.11
785	Assemblers	7: Hispanic	488	119,226	75.75	1.56	0.08	1.56±0.08
785	Assemblers	8: NonHispanic	3,665	906,797	60.27	1.64	0.03	1.64±0.03
796	Production inspectors, checkers, and examiners	1: Total	2,306	571,665	60.16	1.60	0.04	1.60±0.04
796	Production inspectors, checkers, and examiners	2: Male	1,011	259,447	61.87	1.49	0.05	1.49±0.05
796	Production inspectors, checkers, and examiners	3: Female	1,295	312,218	58.74	1.68	0.05	1.68±0.05
796	Production inspectors, checkers, and examiners	4: White	1,836	465,378	59.42	1.62	0.04	1.62±0.04
796	Production inspectors, checkers, and examiners	5: Black	374	82,496	62.43	1.47	0.06	1.47±0.06
796	Production inspectors, checkers, and examiners	6: Other	96	23,790	66.67	1.66	0.14	1.66±0.14
796	Production inspectors, checkers, and examiners	7: Hispanic	220	55,311	67.00	1.54	0.11	1.54±0.11
796	Production inspectors, checkers, and examiners	8: NonHispanic	2,086	516,354	59.43	1.60	0.04	1.60±0.04
799	Graders and sorters, except agricultural	1: Total	529	125,068	62.70	1.60	0.09	1.60±0.09
799	Graders and sorters, except agricultural	2: Male	209	51,576	67.46	1.68	0.15	1.68±0.15
799	Graders and sorters, except agricultural	3: Female	320	73,492	59.35	1.55	0.12	1.55±0.12
799	Graders and sorters, except agricultural	4: White	388	94,950	63.26	1.57	0.10	1.57±0.10
799	Graders and sorters, except agricultural	5: Black	116	23,863	57.48	1.64	0.21	1.64±0.21
799	Graders and sorters, except agricultural	6: Other	25	6,254	73.99	1.96	0.25	1.96±0.25
799	Graders and sorters, except agricultural	7: Hispanic	125	29,707	74.78	1.32	0.13	1.32±0.13
799	Graders and sorters, except agricultural	8: NonHispanic	404	95,361	58.93	1.65	0.10	1.65±0.10
804	Truck drivers	1: Total	10,449	2,640,585	65.87	1.56	0.02	1.56±0.02
804	Truck drivers	2: Male	9,987	2,528,749	66.26	1.55	0.02	1.55±0.02
804	Truck drivers	3: Female	462	111,836	57.12	1.72	0.08	1.72±0.08
804	Truck drivers	4: White	8,690	2,232,215	64.88	1.56	0.02	1.56±0.02
804	Truck drivers	5: Black	1,567	356,271	71.14	1.53	0.05	1.53±0.05
804	Truck drivers	6: Other	192	52,099	72.42	1.75	0.17	1.75±0.17
804	Truck drivers	7: Hispanic	784	207,490	69.52	1.38	0.06	1.38±0.06
804	Truck drivers	8: NonHispanic	9,665	2,433,095	65.56	1.58	0.02	1.58±0.02
806	Driver-sales workers	1: Total	570	146,319	68.26	1.49	0.07	1.49±0.07
806	Driver-sales workers	2: Male	509	131,897	69.44	1.47	0.07	1.47±0.07
806	Driver-sales workers	3: Female	61	14,422	57.47	1.61	0.17	1.61±0.17
806	Driver-sales workers	4: White	525	135,799	67.33	1.51	0.07	1.51±0.07
806	Driver-sales workers	5: Black	33	7,422	81.63	1.00	0.00	1.00±0.00
806	Driver-sales workers	6: Other	12	3,098	77.03	1.37	0.28	1.37±0.28
806	Driver-sales workers	7: Hispanic	37	9,755	76.00	1.64	0.35	1.64±0.35
806	Driver-sales workers	8: NonHispanic	533	136,564	67.71	1.48	0.07	1.48±0.07
808	Bus drivers	1: Total	1,845	437,321	57.88	1.68	0.04	1.68±0.04
808	Bus drivers	2: Male	939	223,457	60.92	1.72	0.06	1.72±0.06
808	Bus drivers	3: Female	906	213,865	54.71	1.64	0.05	1.64±0.05
808	Bus drivers	4: White	1,283	322,937	54.96	1.70	0.05	1.70±0.05
808	Bus drivers	5: Black	521	103,439	64.92	1.61	0.09	1.61±0.09
808	Bus drivers	6: Other	41	10,945	77.63	1.55	0.30	1.55±0.30
808	Bus drivers	7: Hispanic	114	28,360	68.34	1.46	0.16	1.46±0.16
808	Bus drivers	8: NonHispanic	1,731	408,961	57.16	1.69	0.04	1.69±0.04
809	Taxicab drivers and chauffeurs	1: Total	777	198,640	64.06	1.77	0.07	1.77±0.07
809	Taxicab drivers and chauffeurs	2: Male	669	173,020	66.06	1.79	0.09	1.79±0.09
809	Taxicab drivers and chauffeurs	3: Female	108	25,620	50.53	1.66	0.11	1.66±0.11
809	Taxicab drivers and chauffeurs	4: White	504	132,486	56.81	1.78	0.08	1.78±0.08
809	Taxicab drivers and chauffeurs	5: Black	213	48,374	75.62	1.71	0.18	1.71±0.18
809	Taxicab drivers and chauffeurs	6: Other	60	17,779	86.59	1.82	0.33	1.82±0.33
809	Taxicab drivers and chauffeurs	7: Hispanic	77	21,138	79.45	2.00	0.37	2.00±0.37
809	Taxicab drivers and chauffeurs	8: NonHispanic	700	177,502	62.22	1.75	0.07	1.75±0.07
844	Operating engineers	1: Total	986	253,326	62.57	1.43	0.05	1.43±0.05
844	Operating engineers	2: Male	968	247,849	62.46	1.43	0.05	1.43±0.05
844	Operating engineers	3: Female	18	5,477	67.62	1.61	0.26	1.61±0.26
844	Operating engineers	4: White	870	225,841	62.79	1.46	0.05	1.46±0.05
844	Operating engineers	5: Black	89	20,881	63.94	1.18	0.08	1.18±0.08
844	Operating engineers	6: Other	27	6,605	50.72	1.38	0.16	1.38±0.16
844	Operating engineers	7: Hispanic	60	14,692	62.53	1.49	0.16	1.49±0.16
844	Operating engineers	8: NonHispanic	926	238,634	62.58	1.43	0.05	1.43±0.05
856	Industrial truck and tractor equipment operators	1: Total	1,816	450,241	66.79	1.49	0.04	1.49±0.04
856	Industrial truck and tractor equipment operators	2: Male	1,704	424,058	66.90	1.47	0.03	1.47±0.03
856	Industrial truck and tractor equipment operators	3: Female	112	26,183	64.96	1.77	0.18	1.77±0.18
856	Industrial truck and tractor equipment operators	4: White	1,404	355,429	65.71	1.51	0.04	1.51±0.04
856	Industrial truck and tractor equipment operators	5: Black	386	87,722	70.59	1.42	0.07	1.42±0.07
856	Industrial truck and tractor equipment operators	6: Other	26	7,090	73.58	1.23	0.22	1.23±0.22
856	Industrial truck and tractor equipment operators	7: Hispanic	200	50,177	81.35	1.64	0.17	1.64±0.17
856	Industrial truck and tractor equipment operators	8: NonHispanic	1,616	400,064	64.96	1.48	0.04	1.48±0.04
859	Miscellaneous material moving equipment operators	1: Total	456	117,109	63.68	1.58	0.07	1.58±0.07
859	Miscellaneous material moving equipment operators	2: Male	377	98,087	64.20	1.55	0.07	1.55±0.07
859	Miscellaneous material moving equipment operators	3: Female	79	19,023	60.97	1.72	0.21	1.72±0.21
859	Miscellaneous material moving equipment operators	4: White	372	96,955	62.44	1.58	0.07	1.58±0.07
859	Miscellaneous material moving equipment operators	5: Black	72	16,993	71.20	1.50	0.21	1.50±0.21
859	Miscellaneous material moving equipment operators	6: Other	12	3,161	61.30	1.92	0.30	1.92±0.30
859	Miscellaneous material moving equipment operators	7: Hispanic	38	9,740	81.24	1.37	0.14	1.37±0.14
859	Miscellaneous material moving equipment operators	8: NonHispanic	418	107,369	62.09	1.59	0.07	1.59±0.07
869	Construction laborers	1: Total	2,707	697,191	71.17	1.43	0.03	1.43±0.03
869	Construction laborers	2: Male	2,625	676,315	71.45	1.42	0.03	1.42±0.03
869	Construction laborers	3: Female	82	20,877	62.41	1.72	0.20	1.72±0.20
869	Construction laborers	4: White	2,216	585,900	70.78	1.42	0.04	1.42±0.04
869	Construction laborers	5: Black	440	97,045	74.02	1.36	0.08	1.36±0.08
869	Construction laborers	6: Other	51	14,246	68.09	2.30	0.32	2.30±0.32
869	Construction laborers	7: Hispanic	427	111,458	83.05	1.36	0.09	1.36±0.09
869	Construction laborers	8: NonHispanic	2,280	585,733	68.91	1.44	0.03	1.44±0.03
877	Stock handlers and baggers	1: Total	2,534	650,044	68.08	1.55	0.04	1.55±0.04
877	Stock handlers and baggers	2: Male	1,724	449,704	70.76	1.50	0.04	1.50±0.04
877	Stock handlers and baggers	3: Female	810	200,340	62.07	1.64	0.06	1.64±0.06
877	Stock handlers and baggers	4: White	2,113	550,640	66.25	1.55	0.04	1.55±0.04
877	Stock handlers and baggers	5: Black	345	77,266	78.57	1.59	0.13	1.59±0.13
877	Stock handlers and baggers	6: Other	76	22,138	76.89	1.31	0.13	1.31±0.13
877	Stock handlers and baggers	7: Hispanic	257	66,614	73.98	1.26	0.06	1.26±0.06
877	Stock handlers and baggers	8: NonHispanic	2,277	583,430	67.41	1.58	0.04	1.58±0.04
883	Freight, stock, and material handlers, nec.	1: Total	2,235	571,810	67.94	1.52	0.04	1.52±0.04
883	Freight, stock, and material handlers, nec.	2: Male	1,967	508,323	68.44	1.52	0.04	1.52±0.04
883	Freight, stock, and material handlers, nec.	3: Female	268	63,486	63.86	1.52	0.09	1.52±0.09
883	Freight, stock, and material handlers, nec.	4: White	1,724	450,810	66.04	1.51	0.04	1.51±0.04
883	Freight, stock, and material handlers, nec.	5: Black	455	105,087	75.57	1.56	0.09	1.56±0.09
883	Freight, stock, and material handlers, nec.	6: Other	56	15,913	71.23	1.61	0.19	1.61±0.19
883	Freight, stock, and material handlers, nec.	7: Hispanic	194	50,866	79.43	1.72	0.15	1.72±0.15
883	Freight, stock, and material handlers, nec.	8: NonHispanic	2,041	520,944	66.81	1.51	0.04	1.51±0.04
885	Garage and service station related occs	1: Total	611	158,092	68.30	1.47	0.07	1.47±0.07
885	Garage and service station related occs	2: Male	571	147,764	69.52	1.42	0.05	1.42±0.05
885	Garage and service station related occs	3: Female	40	10,328	50.93	1.89	0.35	1.89±0.35
885	Garage and service station related occs	4: White	517	138,660	67.09	1.48	0.07	1.48±0.07
885	Garage and service station related occs	5: Black	83	16,431	80.70	1.44	0.19	1.44±0.19
885	Garage and service station related occs	6: Other	11	3,002	56.22	1.16	0.15	1.16±0.15
885	Garage and service station related occs	7: Hispanic	65	18,420	82.68	1.50	0.20	1.50±0.20
885	Garage and service station related occs	8: NonHispanic	546	139,673	66.41	1.46	0.07	1.46±0.07
887	Vehicle washers and equipment cleaners	1: Total	676	167,519	69.51	1.51	0.06	1.51±0.06
887	Vehicle washers and equipment cleaners	2: Male	590	147,892	71.68	1.44	0.06	1.44±0.06
887	Vehicle washers and equipment cleaners	3: Female	86	19,627	53.22	1.80	0.19	1.80±0.19
887	Vehicle washers and equipment cleaners	4: White	483	125,081	68.60	1.48	0.07	1.48±0.07
887	Vehicle washers and equipment cleaners	5: Black	176	38,325	72.50	1.58	0.18	1.58±0.18
887	Vehicle washers and equipment cleaners	6: Other	17	4,113	69.52	1.78	0.31	1.78±0.31
887	Vehicle washers and equipment cleaners	7: Hispanic	90	23,866	72.59	1.39	0.16	1.39±0.16
887	Vehicle washers and equipment cleaners	8: NonHispanic	586	143,653	69.00	1.53	0.07	1.53±0.07
888	Hand packers and packagers	1: Total	1,009	245,670	65.66	1.58	0.05	1.58±0.05
888	Hand packers and packagers	2: Male	349	87,741	66.52	1.71	0.11	1.71±0.11
888	Hand packers and packagers	3: Female	660	157,929	65.18	1.51	0.07	1.51±0.07
888	Hand packers and packagers	4: White	779	195,457	62.45	1.61	0.06	1.61±0.06
888	Hand packers and packagers	5: Black	185	38,411	79.84	1.33	0.12	1.33±0.12
888	Hand packers and packagers	6: Other	45	11,801	72.56	1.49	0.18	1.49±0.18
888	Hand packers and packagers	7: Hispanic	147	36,892	72.07	1.51	0.19	1.51±0.19
888	Hand packers and packagers	8: NonHispanic	862	208,778	64.52	1.59	0.06	1.59±0.06
889	Laborers, except construction	1: Total	5,004	1,250,422	65.04	1.54	0.02	1.54±0.02
889	Laborers, except construction	2: Male	3,858	981,803	67.06	1.51	0.03	1.51±0.03
889	Laborers, except construction	3: Female	1,146	268,620	57.67	1.64	0.05	1.64±0.05
889	Laborers, except construction	4: White	3,872	994,022	63.90	1.56	0.02	1.56±0.02
889	Laborers, except construction	5: Black	984	216,372	69.27	1.47	0.05	1.47±0.05
889	Laborers, except construction	6: Other	148	40,029	70.66	1.37	0.11	1.37±0.11
889	Laborers, except construction	7: Hispanic	543	138,228	72.49	1.43	0.06	1.43±0.06
889	Laborers, except construction	8: NonHispanic	4,461	1,112,194	64.12	1.55	0.02	1.55±0.02