Table 3. Overall Prevalence (%) of Disability and Health Indicators by 206 Occupations
				Acute Disability						Chronic Disability				Health Status
	Occupation 206 Classes	Group	Population Estimates	Estimated Prevalence of Restricted Days	Standard Error of Restricted Days	Estimated Prevalence of Bed Days	Standard Error of Bed Days	Estimated Prevalence of Lost Work Days	Standard Error of Lost Work Days	Estimated Prevalence of > 4 Doctor Visits	Standard Error of Doctor Visits	Estimated Prevalence of > 1 Hospitalizations	Standard Error of Hospitalizations	Estimated Prevalence of Self-Rated Health	Standard Error of Self-Rated Health	Estimated Prevalence of Chronic Conditions	Standard Error of Chronic Conditions
5	Administrators/officials, public administration	1: Total	434,916	9.05	0.78	4.69	0.53	6.65	0.61	29.62	1.11	5.27	0.55	4.50	0.62	44.32	1.32
5	Administrators/officials, public administration	2: Male	237,832	6.88	0.99	3.45	0.63	4.73	0.73	23.55	1.52	5.70	0.78	4.14	0.73	42.33	1.71
5	Administrators/officials, public administration	3: Female	197,084	11.67	1.24	6.18	0.96	8.96	1.03	36.96	1.94	4.75	0.83	4.92	0.89	46.71	1.92
5	Administrators/officials, public administration	4: White	377,045	9.36	0.82	5.02	0.62	6.59	0.60	30.01	1.22	5.65	0.63	4.66	0.64	44.14	1.55
5	Administrators/officials, public administration	5: Black	40,408	6.85	2.14	2.58	1.15	6.85	2.14	29.18	3.92	2.36	1.03	2.18	1.15	44.15	3.77
5	Administrators/officials, public administration	6: Other	17,464	7.46	4.13	2.37	1.83	7.46	4.13	22.42	4.88	3.61	2.11	6.21	3.62	48.49	4.71
5	Administrators/officials, public administration	7: Hispanic	19,368	13.53	4.26	6.49	2.93	8.77	3.23	43.71	7.59	5.99	2.30	7.58	2.74	44.88	6.28
5	Administrators/officials, public administration	8: NonHispanic	415,549	8.84	0.76	4.60	0.55	6.55	0.58	28.98	1.09	5.23	0.58	4.35	0.59	44.29	1.32
7	Financial managers	1: Total	516,489	7.10	0.63	4.10	0.49	4.72	0.50	22.68	0.96	4.24	0.50	2.25	0.32	35.45	1.18
7	Financial managers	2: Male	290,553	5.18	0.68	2.47	0.48	3.15	0.53	15.20	0.98	4.17	0.63	1.92	0.42	32.38	1.51
7	Financial managers	3: Female	225,936	9.58	1.00	6.21	0.82	6.75	0.88	32.31	1.59	4.34	0.73	2.68	0.57	39.39	1.79
7	Financial managers	4: White	470,184	7.33	0.68	4.15	0.52	4.75	0.53	23.71	1.03	4.42	0.54	2.39	0.35	36.45	1.27
7	Financial managers	5: Black	27,663	5.11	2.10	3.61	1.80	4.64	2.04	14.77	4.32	4.05	1.75	0.60	0.61	28.17	4.32
7	Financial managers	6: Other	18,642	4.31	2.26	3.72	2.18	4.31	2.26	8.77	2.72	0.00	0.00	1.21	1.27	20.92	4.43
7	Financial managers	7: Hispanic	23,398	9.20	3.35	7.44	3.19	7.44	3.19	18.10	4.15	2.95	1.58	2.62	1.51	25.68	4.72
7	Financial managers	8: NonHispanic	493,091	7.00	0.63	3.94	0.47	4.59	0.51	22.90	0.94	4.30	0.51	2.24	0.33	35.91	1.20
8	Personnel and labor relations managers	1: Total	145,879	8.00	1.29	4.86	1.10	5.45	1.11	27.08	2.21	5.06	1.23	2.91	0.81	41.06	2.26
8	Personnel and labor relations managers	2: Male	70,491	8.01	1.92	3.89	1.45	4.50	1.55	22.73	2.78	6.35	1.88	3.11	1.33	43.10	3.37
8	Personnel and labor relations managers	3: Female	75,389	8.00	1.55	5.78	1.44	6.34	1.38	31.13	3.11	3.85	1.29	2.73	0.93	39.16	3.01
8	Personnel and labor relations managers	4: White	133,270	7.94	1.36	4.86	1.16	5.15	1.17	26.92	2.38	4.76	1.19	2.88	0.85	42.14	2.40
8	Personnel and labor relations managers	5: Black	9,918	11.02	4.90	6.19	3.76	11.02	4.90	25.89	7.81	6.30	4.43	4.16	3.01	35.45	8.47
8	Personnel and labor relations managers	6: Other	2,691	0.00	0.00	0.00	0.00	0.00	0.00	39.26	13.15	15.10	14.75	0.00	0.00	8.64	8.26
8	Personnel and labor relations managers	7: Hispanic	4,976	4.73	4.67	0.00	0.00	4.73	4.67	25.93	9.85	0.00	0.00	4.07	3.93	53.65	9.45
8	Personnel and labor relations managers	8: NonHispanic	140,903	8.12	1.33	5.04	1.14	5.48	1.14	27.12	2.22	5.24	1.27	2.87	0.82	40.62	2.31
9	Purchasing managers	1: Total	122,582	10.67	1.36	4.54	0.96	7.80	1.20	30.03	2.29	5.68	1.07	2.90	0.66	42.01	2.57
9	Purchasing managers	2: Male	80,853	8.95	1.61	3.00	0.92	5.90	1.39	23.53	2.51	5.21	1.23	2.98	0.79	37.64	3.08
9	Purchasing managers	3: Female	41,729	14.00	2.64	7.53	2.04	11.49	2.44	42.58	3.98	6.59	1.90	2.74	1.14	50.48	4.10
9	Purchasing managers	4: White	108,587	11.22	1.50	5.01	1.08	8.22	1.29	29.58	2.26	6.19	1.19	2.73	0.65	43.43	2.61
9	Purchasing managers	5: Black	10,684	8.36	5.07	1.16	1.12	6.01	4.66	37.14	8.14	2.25	2.24	5.51	3.48	31.57	7.28
9	Purchasing managers	6: Other	3,311	0.00	0.00	0.00	0.00	0.00	0.00	21.71	13.22	0.00	0.00	0.00	0.00	29.38	11.36
9	Purchasing managers	7: Hispanic	1,684	0.00	0.00	0.00	0.00	0.00	0.00	42.70	19.66	0.00	0.00	29.77	15.30	56.92	19.72
9	Purchasing managers	8: NonHispanic	120,898	10.82	1.38	4.60	0.97	7.91	1.22	29.85	2.26	5.76	1.08	2.52	0.63	41.81	2.51
13	Managers/marketing/advertising/PR	1: Total	637,557	7.81	0.55	4.87	0.43	5.27	0.46	22.15	0.90	4.85	0.50	2.51	0.33	37.60	1.13
13	Managers/marketing/advertising/PR	2: Male	435,903	6.19	0.55	3.62	0.43	4.09	0.46	17.38	1.06	4.77	0.62	2.66	0.40	34.45	1.32
13	Managers/marketing/advertising/PR	3: Female	201,654	11.30	1.12	7.57	0.97	7.82	0.95	32.45	1.75	5.00	0.86	2.18	0.53	44.43	1.99
13	Managers/marketing/advertising/PR	4: White	598,994	7.96	0.55	4.92	0.45	5.32	0.48	22.29	0.92	4.96	0.53	2.51	0.35	38.20	1.16
13	Managers/marketing/advertising/PR	5: Black	24,634	7.36	2.15	5.20	1.90	6.98	2.14	20.32	4.54	1.48	1.07	1.01	1.01	30.84	5.23
13	Managers/marketing/advertising/PR	6: Other	13,929	2.23	2.21	2.23	2.21	0.00	0.00	19.29	5.43	6.09	4.17	4.94	2.51	23.85	5.95
13	Managers/marketing/advertising/PR	7: Hispanic	24,947	4.48	1.91	3.64	1.75	4.48	1.91	11.04	3.27	3.73	2.14	1.86	1.35	41.84	5.82
13	Managers/marketing/advertising/PR	8: NonHispanic	612,611	7.95	0.56	4.92	0.44	5.30	0.47	22.60	0.91	4.89	0.50	2.53	0.34	37.43	1.15
14	Administrators, education and related fields	1: Total	532,733	9.17	0.72	4.96	0.51	5.59	0.49	28.22	1.07	5.52	0.50	3.02	0.41	42.96	1.28
14	Administrators, education and related fields	2: Male	250,290	7.59	0.88	3.45	0.56	4.20	0.60	21.63	1.37	5.90	0.76	1.76	0.44	42.74	1.60
14	Administrators, education and related fields	3: Female	282,442	10.56	1.08	6.29	0.81	6.82	0.77	34.08	1.53	5.18	0.60	4.14	0.64	43.16	1.67
14	Administrators, education and related fields	4: White	463,963	9.40	0.76	5.15	0.51	5.83	0.53	28.88	1.12	5.29	0.53	2.83	0.44	43.51	1.37
14	Administrators, education and related fields	5: Black	58,624	8.53	1.95	3.91	1.56	4.29	1.22	23.47	2.92	7.15	1.75	4.34	1.29	40.84	3.54
14	Administrators, education and related fields	6: Other	10,146	2.04	2.06	2.04	2.06	2.04	2.06	25.01	7.09	6.35	3.63	4.35	4.23	30.24	7.44
14	Administrators, education and related fields	7: Hispanic	20,122	12.89	4.04	10.84	3.88	8.94	3.52	31.15	4.96	6.74	2.35	5.59	2.19	37.36	5.81
14	Administrators, education and related fields	8: NonHispanic	512,610	9.02	0.71	4.73	0.50	5.46	0.50	28.10	1.12	5.47	0.50	2.92	0.39	43.18	1.29
15	Managers, medicine and health	1: Total	257,406	8.67	1.04	4.64	0.68	6.39	0.87	27.86	1.57	5.55	0.84	4.77	0.74	43.09	1.36
15	Managers, medicine and health	2: Male	80,541	5.83	1.45	3.55	1.17	3.31	1.05	18.67	2.34	3.84	1.19	5.70	1.39	36.93	2.65
15	Managers, medicine and health	3: Female	176,865	9.97	1.28	5.13	0.82	7.79	1.13	32.05	1.96	6.33	1.07	4.35	0.87	45.90	1.77
15	Managers, medicine and health	4: White	225,557	8.65	1.10	4.35	0.70	6.31	0.92	28.18	1.66	5.54	0.92	4.11	0.76	43.98	1.52
15	Managers, medicine and health	5: Black	24,524	8.94	2.79	7.05	2.48	7.35	2.57	29.36	4.44	4.79	1.69	7.91	2.49	38.01	5.04
15	Managers, medicine and health	6: Other	7,325	8.41	5.87	5.47	5.26	5.47	5.26	12.83	6.15	8.57	6.02	14.54	7.05	32.59	8.65
15	Managers, medicine and health	7: Hispanic	11,755	15.64	6.33	12.02	5.89	13.83	6.09	25.69	6.48	1.83	1.83	3.78	2.63	43.41	7.74
15	Managers, medicine and health	8: NonHispanic	245,651	8.34	0.99	4.28	0.64	6.03	0.83	27.96	1.62	5.73	0.86	4.82	0.74	43.07	1.33
18	Managers, properties and real estate	1: Total	424,823	8.57	0.73	4.80	0.56	5.03	0.56	24.87	1.14	6.92	0.67	7.65	0.70	42.07	1.26
18	Managers, properties and real estate	2: Male	228,170	7.72	0.90	3.53	0.65	4.10	0.71	19.10	1.29	7.78	0.92	7.35	0.95	41.21	1.67
18	Managers, properties and real estate	3: Female	196,652	9.57	1.00	6.28	0.83	6.10	0.81	31.57	1.81	5.93	0.84	7.99	1.00	43.06	1.95
18	Managers, properties and real estate	4: White	384,861	8.76	0.79	4.73	0.59	4.92	0.60	25.08	1.20	6.92	0.66	7.70	0.75	42.58	1.34
18	Managers, properties and real estate	5: Black	29,675	4.90	1.80	4.05	1.67	3.95	1.70	19.91	3.53	5.26	1.97	4.07	1.83	31.83	4.57
18	Managers, properties and real estate	6: Other	10,286	12.02	6.66	9.68	5.73	12.02	6.66	31.41	7.27	11.82	6.04	15.82	6.45	52.57	8.57
18	Managers, properties and real estate	7: Hispanic	24,180	6.49	2.22	1.92	1.31	6.49	2.22	20.19	4.33	2.62	1.48	9.24	3.74	37.48	4.27
18	Managers, properties and real estate	8: NonHispanic	400,643	8.70	0.80	4.98	0.59	4.94	0.61	25.15	1.25	7.18	0.71	7.55	0.75	42.34	1.33
22	Managers and administrators	1: Total	8,609,388	7.23	0.17	4.06	0.12	4.56	0.13	21.17	0.27	4.70	0.14	4.15	0.12	38.18	0.34
22	Managers and administrators	2: Male	5,760,962	5.97	0.18	3.08	0.14	3.59	0.14	16.77	0.33	4.46	0.15	3.94	0.13	36.55	0.39
22	Managers and administrators	3: Female	2,848,426	9.78	0.27	6.05	0.21	6.53	0.23	30.08	0.49	5.19	0.24	4.59	0.21	41.48	0.52
22	Managers and administrators	4: White	7,891,127	7.24	0.18	4.03	0.13	4.51	0.14	21.55	0.28	4.78	0.15	3.99	0.12	38.99	0.35
22	Managers and administrators	5: Black	437,418	7.42	0.74	4.53	0.55	5.63	0.58	19.09	0.94	4.32	0.40	6.59	0.75	32.74	1.33
22	Managers and administrators	6: Other	280,842	6.49	0.71	4.20	0.60	4.24	0.58	13.77	1.18	2.94	0.62	5.11	0.58	23.94	1.36
22	Managers and administrators	7: Hispanic	424,777	7.31	0.72	3.92	0.55	4.80	0.56	17.33	0.92	4.13	0.50	5.82	0.65	29.71	1.22
22	Managers and administrators	8: NonHispanic	8,184,610	7.22	0.17	4.07	0.13	4.55	0.13	21.37	0.28	4.73	0.15	4.07	0.12	38.62	0.35
23	Accountants and auditors	1: Total	1,449,425	8.46	0.38	4.89	0.34	5.79	0.32	24.73	0.65	4.75	0.33	3.49	0.25	36.47	0.77
23	Accountants and auditors	2: Male	700,754	5.67	0.41	3.06	0.34	3.76	0.36	17.25	0.73	3.97	0.42	2.74	0.31	33.65	0.99
23	Accountants and auditors	3: Female	748,671	11.07	0.60	6.61	0.50	7.69	0.48	31.71	0.93	5.47	0.49	4.20	0.38	39.10	1.01
23	Accountants and auditors	4: White	1,258,209	8.38	0.41	4.83	0.35	5.60	0.36	25.14	0.71	4.85	0.36	3.19	0.25	37.26	0.81
23	Accountants and auditors	5: Black	106,603	9.79	1.55	5.57	1.28	7.64	1.33	22.19	2.08	4.46	1.11	5.12	1.32	31.11	2.74
23	Accountants and auditors	6: Other	84,613	7.89	1.66	5.00	1.43	6.22	1.37	21.84	1.97	3.63	1.18	6.01	1.37	31.48	2.61
23	Accountants and auditors	7: Hispanic	69,340	8.53	1.68	6.61	1.47	7.51	1.66	25.84	2.85	5.81	1.28	3.69	0.88	33.02	3.16
23	Accountants and auditors	8: NonHispanic	1,380,086	8.45	0.40	4.80	0.36	5.70	0.34	24.67	0.65	4.69	0.34	3.48	0.26	36.64	0.78
25	Other financial officers	1: Total	727,887	8.15	0.60	4.31	0.43	5.19	0.43	25.22	0.82	4.16	0.38	2.77	0.33	37.89	1.01
25	Other financial officers	2: Male	375,925	6.47	0.80	3.29	0.58	3.59	0.52	19.63	1.11	4.20	0.57	2.48	0.41	36.13	1.37
25	Other financial officers	3: Female	351,962	9.93	0.95	5.40	0.65	6.90	0.74	31.19	1.22	4.12	0.53	3.08	0.43	39.77	1.47
25	Other financial officers	4: White	655,800	8.57	0.64	4.59	0.46	5.39	0.46	25.38	0.86	4.13	0.40	2.61	0.30	39.26	1.09
25	Other financial officers	5: Black	44,236	4.79	1.77	2.38	1.33	3.90	1.65	25.38	3.71	6.27	1.54	4.51	1.68	26.46	3.78
25	Other financial officers	6: Other	27,850	3.58	1.42	0.79	0.79	2.53	1.33	21.22	3.66	1.54	1.06	3.75	2.84	23.69	3.87
25	Other financial officers	7: Hispanic	41,048	7.49	2.21	4.50	1.53	5.64	1.94	21.66	3.02	2.36	1.23	2.93	1.26	27.47	3.84
25	Other financial officers	8: NonHispanic	686,838	8.19	0.62	4.30	0.45	5.17	0.43	25.44	0.83	4.27	0.39	2.76	0.34	38.51	1.02
26	Management analysts	1: Total	207,706	10.07	1.04	4.54	0.84	5.55	0.90	26.80	1.54	4.60	0.72	3.32	0.59	43.85	1.77
26	Management analysts	2: Male	137,577	8.45	1.08	2.96	0.80	4.29	0.86	23.27	1.80	5.04	0.92	2.90	0.68	43.59	2.18
26	Management analysts	3: Female	70,129	13.27	2.41	7.64	1.86	8.03	2.03	33.69	2.46	3.74	1.06	4.14	1.23	44.37	3.04
26	Management analysts	4: White	190,942	9.89	1.00	4.10	0.73	5.35	0.85	26.99	1.73	4.68	0.75	3.36	0.61	44.17	1.86
26	Management analysts	5: Black	9,673	10.58	4.93	9.04	4.95	9.04	4.95	37.91	8.34	6.41	3.62	4.19	4.10	52.23	7.38
26	Management analysts	6: Other	7,090	14.22	7.25	10.16	6.15	6.13	5.92	6.48	4.54	0.00	0.00	1.00	1.03	23.76	8.53
26	Management analysts	7: Hispanic	6,690	8.27	5.86	0.00	0.00	4.67	4.64	24.50	7.90	3.74	3.70	3.44	3.41	51.58	11.59
26	Management analysts	8: NonHispanic	201,016	10.13	1.10	4.69	0.87	5.58	0.94	26.88	1.60	4.63	0.72	3.31	0.58	43.59	1.83
27	Personnel/training/labor relations specialists	1: Total	429,136	8.33	0.71	4.20	0.52	6.56	0.64	28.32	1.11	5.31	0.58	3.80	0.44	42.12	1.30
27	Personnel/training/labor relations specialists	2: Male	184,738	6.45	0.96	3.25	0.76	4.77	0.84	21.40	1.65	5.00	0.83	3.97	0.77	41.75	1.80
27	Personnel/training/labor relations specialists	3: Female	244,398	9.75	0.99	4.92	0.68	7.91	0.89	33.53	1.51	5.55	0.78	3.67	0.60	42.41	1.74
27	Personnel/training/labor relations specialists	4: White	368,799	8.42	0.77	4.32	0.58	6.76	0.71	28.65	1.21	5.50	0.63	3.40	0.46	42.78	1.39
27	Personnel/training/labor relations specialists	5: Black	50,123	7.25	1.72	3.48	1.01	5.22	1.57	27.14	2.96	5.00	1.62	5.89	1.49	38.21	4.04
27	Personnel/training/labor relations specialists	6: Other	10,214	10.27	4.43	3.61	2.62	5.84	3.46	22.07	7.06	0.00	0.00	7.90	3.88	37.49	8.42
27	Personnel/training/labor relations specialists	7: Hispanic	23,144	12.04	3.37	6.08	2.71	9.85	3.07	27.36	4.56	7.67	3.27	6.16	3.27	45.70	5.17
27	Personnel/training/labor relations specialists	8: NonHispanic	405,992	8.12	0.73	4.10	0.52	6.37	0.65	28.37	1.09	5.18	0.58	3.66	0.43	41.92	1.31
29	Buyers, wholesale/retail trade except farm products	1: Total	191,990	9.40	1.37	6.09	1.14	7.15	1.20	26.08	1.75	4.99	0.96	4.77	0.94	41.81	2.10
29	Buyers, wholesale/retail trade except farm products	2: Male	84,773	6.84	1.83	5.24	1.55	5.46	1.56	17.79	2.69	4.70	1.50	4.94	1.35	38.74	2.90
29	Buyers, wholesale/retail trade except farm products	3: Female	107,217	11.43	1.85	6.76	1.57	8.48	1.63	32.67	2.28	5.22	1.11	4.63	1.32	44.25	2.82
29	Buyers, wholesale/retail trade except farm products	4: White	182,261	9.84	1.42	6.35	1.19	7.53	1.25	26.41	1.88	5.12	1.00	4.87	0.97	42.98	2.09
29	Buyers, wholesale/retail trade except farm products	5: Black	5,199	2.16	2.16	2.16	2.16	0.00	0.00	22.65	9.28	0.00	0.00	4.88	3.55	25.18	9.33
29	Buyers, wholesale/retail trade except farm products	6: Other	4,530	0.00	0.00	0.00	0.00	0.00	0.00	16.72	10.33	5.24	5.41	0.00	0.00	14.04	6.64
29	Buyers, wholesale/retail trade except farm products	7: Hispanic	11,166	5.69	3.31	3.69	2.59	3.69	2.59	22.75	6.55	1.94	1.89	2.19	2.16	36.05	7.96
29	Buyers, wholesale/retail trade except farm products	8: NonHispanic	180,824	9.63	1.43	6.24	1.20	7.36	1.26	26.29	1.89	5.18	1.01	4.93	0.93	42.17	2.16
33	Purchasing agents and buyers	1: Total	260,021	8.12	0.97	5.40	0.79	6.24	0.84	26.06	1.38	4.26	0.68	3.00	0.48	39.89	1.69
33	Purchasing agents and buyers	2: Male	135,805	8.91	1.47	6.03	1.16	7.59	1.27	21.93	1.97	5.46	1.17	2.82	0.73	41.36	2.20
33	Purchasing agents and buyers	3: Female	124,216	7.24	1.20	4.71	0.93	4.76	0.94	30.58	2.29	2.94	0.69	3.20	0.82	38.27	2.42
33	Purchasing agents and buyers	4: White	240,255	8.50	1.05	5.66	0.86	6.57	0.92	26.81	1.45	4.40	0.73	3.03	0.52	40.47	1.71
33	Purchasing agents and buyers	5: Black	16,511	4.14	2.28	2.62	1.68	2.62	1.68	18.97	5.28	2.98	1.86	3.10	2.19	31.69	6.62
33	Purchasing agents and buyers	6: Other	3,255	0.00	0.00	0.00	0.00	0.00	0.00	6.83	7.12	0.00	0.00	0.00	0.00	38.84	15.12
33	Purchasing agents and buyers	7: Hispanic	11,359	2.85	2.09	2.85	2.09	2.85	2.09	11.77	4.96	0.00	0.00	0.00	0.00	30.03	6.74
33	Purchasing agents and buyers	8: NonHispanic	248,662	8.36	1.01	5.51	0.83	6.39	0.88	26.72	1.41	4.45	0.71	3.14	0.50	40.34	1.71
36	Inspectors/compliance officers, except construction	1: Total	183,364	10.01	1.06	5.50	0.80	7.51	0.93	26.96	1.73	6.41	0.93	4.82	0.80	42.08	1.96
36	Inspectors/compliance officers, except construction	2: Male	126,705	9.67	1.28	5.14	1.05	7.27	1.13	21.99	2.02	5.92	1.08	4.40	0.91	41.50	2.31
36	Inspectors/compliance officers, except construction	3: Female	56,659	10.77	1.84	6.32	1.49	8.05	1.69	38.04	3.84	7.50	1.86	5.75	1.76	43.38	3.55
36	Inspectors/compliance officers, except construction	4: White	155,299	10.00	1.17	5.50	0.90	7.74	1.06	26.28	1.99	6.20	0.86	5.02	0.92	43.34	2.12
36	Inspectors/compliance officers, except construction	5: Black	22,404	11.46	3.34	5.75	2.19	6.66	2.23	33.96	5.22	9.52	3.28	4.60	1.92	35.99	5.51
36	Inspectors/compliance officers, except construction	6: Other	5,661	4.64	4.77	4.64	4.77	4.64	4.77	18.15	6.46	0.00	0.00	0.00	0.00	31.81	7.33
36	Inspectors/compliance officers, except construction	7: Hispanic	12,274	9.30	3.75	7.40	2.92	9.30	3.75	20.84	4.28	9.54	4.33	7.53	3.45	38.15	8.84
36	Inspectors/compliance officers, except construction	8: NonHispanic	171,090	10.06	1.12	5.37	0.83	7.38	0.99	27.40	1.84	6.19	1.00	4.62	0.83	42.37	1.94
37	Management related occs	1: Total	371,203	10.03	0.89	5.68	0.62	7.71	0.77	31.89	1.49	4.74	0.61	2.95	0.46	44.71	1.37
37	Management related occs	2: Male	57,908	9.42	2.06	2.53	1.02	6.82	1.79	20.53	2.96	5.75	1.68	2.93	1.23	41.11	3.46
37	Management related occs	3: Female	313,295	10.14	1.06	6.27	0.74	7.87	0.84	34.00	1.66	4.56	0.65	2.96	0.50	45.37	1.50
37	Management related occs	4: White	319,117	10.26	1.00	5.69	0.69	7.98	0.86	32.29	1.61	4.42	0.65	2.50	0.45	46.16	1.50
37	Management related occs	5: Black	36,745	9.63	2.44	6.18	2.22	8.04	2.27	33.36	4.37	8.17	2.18	7.57	2.22	36.97	3.91
37	Management related occs	6: Other	15,341	6.08	2.84	4.32	2.40	1.39	1.39	20.16	4.48	3.29	2.45	1.42	1.42	33.18	5.29
37	Management related occs	7: Hispanic	21,261	14.79	4.65	8.62	3.81	12.63	4.41	23.25	4.97	5.77	2.85	3.25	1.87	46.88	5.67
37	Management related occs	8: NonHispanic	349,942	9.74	0.90	5.51	0.59	7.41	0.79	32.41	1.46	4.68	0.60	2.94	0.48	44.58	1.35
43	Architects	1: Total	176,710	9.29	1.09	5.73	0.87	5.65	0.78	18.60	1.53	3.00	0.64	3.13	0.65	38.50	2.04
43	Architects	2: Male	153,567	8.15	1.18	5.39	0.88	5.01	0.84	15.75	1.66	2.69	0.66	3.15	0.69	37.59	2.09
43	Architects	3: Female	23,143	16.83	4.25	7.99	3.28	9.91	3.05	37.45	5.23	5.05	2.23	2.97	2.13	44.57	5.13
43	Architects	4: White	162,108	8.71	1.18	5.24	0.89	4.75	0.82	18.86	1.60	3.19	0.70	2.75	0.66	39.45	2.16
43	Architects	5: Black	6,366	7.38	5.41	5.13	4.98	7.38	5.41	14.01	6.72	2.26	2.26	6.42	4.53	21.63	10.58
43	Architects	6: Other	8,236	22.11	8.94	15.97	8.40	22.11	8.94	16.93	6.69	0.00	0.00	8.01	4.02	32.82	10.79
43	Architects	7: Hispanic	12,774	5.10	2.47	3.51	2.32	3.50	2.12	25.19	5.45	0.00	0.00	5.53	2.75	33.29	6.61
43	Architects	8: NonHispanic	163,936	9.62	1.16	5.91	0.94	5.82	0.83	18.09	1.57	3.24	0.69	2.94	0.66	38.91	2.14
44	Aerospace	1: Total	115,384	10.11	1.65	3.43	0.81	5.72	1.17	22.16	2.30	3.95	1.00	3.86	1.03	41.30	2.38
44	Aerospace	2: Male	108,773	9.83	1.67	3.17	0.79	5.18	1.12	20.79	2.20	3.85	0.98	4.09	1.09	41.47	2.53
44	Aerospace	3: Female	6,612	14.61	7.89	7.58	5.35	14.61	7.89	44.59	10.78	5.64	5.50	0.00	0.00	38.48	9.14
44	Aerospace	4: White	104,395	9.69	1.51	3.51	0.84	5.55	1.12	20.93	2.18	4.11	1.09	3.48	0.93	40.31	2.40
44	Aerospace	5: Black	2,570	23.77	15.29	11.39	10.94	11.39	10.94	49.61	16.12	0.00	0.00	3.59	4.04	82.08	11.10
44	Aerospace	6: Other	8,418	11.09	8.18	0.00	0.00	6.13	5.93	28.94	15.99	3.17	2.63	8.57	4.74	41.08	9.17
44	Aerospace	7: Hispanic	3,735	18.22	11.26	0.00	0.00	7.02	7.30	0.00	0.00	0.00	0.00	0.00	0.00	48.68	15.06
44	Aerospace	8: NonHispanic	111,649	9.83	1.57	3.54	0.84	5.68	1.14	22.90	2.35	4.09	1.03	3.99	1.06	41.05	2.36
53	Civil	1: Total	264,614	6.61	0.88	3.20	0.57	4.25	0.67	19.42	1.31	4.62	0.82	2.81	0.56	33.52	1.51
53	Civil	2: Male	248,854	6.04	0.82	2.78	0.51	4.01	0.64	18.52	1.31	4.45	0.80	2.90	0.60	33.20	1.53
53	Civil	3: Female	15,759	15.57	5.50	9.97	3.68	8.01	3.19	33.59	5.90	7.33	3.24	1.26	1.23	38.51	6.39
53	Civil	4: White	233,004	6.48	0.90	3.09	0.56	4.32	0.71	20.06	1.45	4.71	0.89	2.63	0.59	35.11	1.60
53	Civil	5: Black	11,165	4.74	3.22	3.22	2.84	4.74	3.22	3.87	2.73	0.51	0.51	0.00	0.00	16.25	4.76
53	Civil	6: Other	20,444	9.05	4.05	4.52	2.26	3.18	1.79	20.55	4.03	5.82	2.97	6.31	3.07	24.76	5.30
53	Civil	7: Hispanic	13,090	1.97	1.96	0.00	0.00	1.97	1.96	9.03	3.58	7.43	3.76	3.26	2.11	15.42	4.38
53	Civil	8: NonHispanic	251,524	6.85	0.91	3.37	0.60	4.37	0.70	19.96	1.35	4.47	0.81	2.78	0.58	34.46	1.55
55	Electrical and electronic	1: Total	592,715	6.87	0.58	3.13	0.39	4.10	0.42	18.75	0.87	3.46	0.34	2.40	0.33	36.10	1.23
55	Electrical and electronic	2: Male	543,197	6.31	0.58	2.79	0.39	3.81	0.45	17.28	0.80	3.41	0.34	2.46	0.35	35.31	1.23
55	Electrical and electronic	3: Female	49,518	12.97	2.28	6.77	1.80	7.30	1.90	34.92	3.51	4.08	1.38	1.74	0.79	44.79	3.95
55	Electrical and electronic	4: White	518,640	7.23	0.64	3.29	0.43	4.27	0.45	18.98	0.95	3.33	0.35	1.89	0.32	37.58	1.33
55	Electrical and electronic	5: Black	28,944	5.45	2.54	4.10	2.59	3.82	2.42	18.73	4.32	4.54	1.99	6.95	2.38	23.85	4.33
55	Electrical and electronic	6: Other	45,131	3.57	1.56	0.58	0.58	2.35	1.35	16.12	3.09	4.35	1.51	5.31	1.82	26.94	3.79
55	Electrical and electronic	7: Hispanic	20,764	7.65	2.99	2.07	1.39	5.25	2.62	27.41	5.30	10.21	3.86	4.41	2.04	39.99	5.67
55	Electrical and electronic	8: NonHispanic	571,951	6.84	0.60	3.16	0.40	4.06	0.43	18.43	0.89	3.22	0.34	2.32	0.34	35.96	1.25
56	Industrial	1: Total	234,775	7.17	0.89	3.59	0.63	4.14	0.70	20.49	1.37	4.37	0.68	2.31	0.50	38.77	1.76
56	Industrial	2: Male	200,847	6.32	0.91	3.40	0.60	3.88	0.66	18.22	1.40	4.26	0.74	1.81	0.54	36.48	1.86
56	Industrial	3: Female	33,928	12.20	2.61	4.71	1.87	5.71	2.11	33.89	4.16	5.05	2.13	5.26	1.91	52.34	4.26
56	Industrial	4: White	210,888	7.16	0.95	3.58	0.68	4.13	0.72	20.43	1.48	4.51	0.73	2.18	0.48	39.60	1.88
56	Industrial	5: Black	11,813	10.84	5.29	3.71	2.36	6.38	4.72	26.91	5.93	4.54	2.37	3.31	1.96	39.03	7.64
56	Industrial	6: Other	12,074	3.74	2.59	3.74	2.59	2.07	2.06	15.33	6.24	1.78	1.80	3.54	2.49	24.01	6.92
56	Industrial	7: Hispanic	7,319	0.00	0.00	0.00	0.00	0.00	0.00	23.14	9.20	0.00	0.00	0.00	0.00	37.95	8.53
56	Industrial	8: NonHispanic	227,456	7.40	0.93	3.71	0.65	4.27	0.72	20.41	1.43	4.51	0.71	2.38	0.52	38.79	1.74
57	Mechanical	1: Total	330,773	5.97	0.75	3.22	0.50	4.07	0.61	17.37	1.00	3.93	0.54	2.62	0.48	34.19	1.53
57	Mechanical	2: Male	315,885	6.03	0.78	3.22	0.52	4.11	0.63	16.57	1.03	3.96	0.55	2.66	0.50	34.53	1.65
57	Mechanical	3: Female	14,888	4.75	2.74	3.35	2.37	3.35	2.37	34.15	6.38	3.37	2.37	1.83	1.79	27.05	6.76
57	Mechanical	4: White	293,040	6.08	0.75	2.98	0.51	3.94	0.60	18.02	1.08	4.19	0.57	2.34	0.48	35.97	1.65
57	Mechanical	5: Black	15,201	7.05	3.41	7.05	3.41	7.05	3.41	16.61	5.09	0.00	0.00	9.00	4.44	23.13	7.03
57	Mechanical	6: Other	22,532	3.82	1.91	3.82	1.91	3.82	1.91	9.43	3.17	3.14	1.86	1.99	1.43	18.55	4.78
57	Mechanical	7: Hispanic	9,655	8.13	4.64	8.13	4.64	5.98	4.22	15.34	7.12	2.27	2.24	3.56	3.51	27.35	7.21
57	Mechanical	8: NonHispanic	321,118	5.90	0.74	3.08	0.48	4.02	0.61	17.43	1.03	3.98	0.54	2.59	0.49	34.40	1.58
59	Engineers	1: Total	285,379	6.42	0.78	3.92	0.59	4.23	0.62	19.22	1.17	2.79	0.53	2.29	0.47	36.67	1.54
59	Engineers	2: Male	262,140	6.46	0.81	3.83	0.60	4.18	0.63	17.45	1.09	2.96	0.58	2.42	0.52	36.35	1.65
59	Engineers	3: Female	23,239	5.91	2.68	4.90	2.49	4.82	2.46	39.04	5.59	0.91	0.90	0.84	0.81	40.31	4.60
59	Engineers	4: White	254,567	6.32	0.81	3.73	0.60	4.05	0.64	19.31	1.20	2.82	0.58	2.00	0.47	38.16	1.56
59	Engineers	5: Black	9,368	9.82	6.61	9.82	6.61	7.62	6.65	35.27	8.24	1.77	1.78	10.55	5.55	31.34	8.21
59	Engineers	6: Other	21,444	6.08	2.75	3.62	1.79	4.89	2.02	11.19	3.61	2.92	1.67	2.16	1.55	21.34	3.84
59	Engineers	7: Hispanic	10,556	7.08	3.79	7.08	3.79	4.49	3.15	25.90	5.56	2.04	2.03	2.78	2.77	33.53	8.42
59	Engineers	8: NonHispanic	274,823	6.39	0.79	3.80	0.60	4.22	0.63	18.96	1.22	2.82	0.54	2.27	0.46	36.79	1.57
64	Computer systems analysts and scientists	1: Total	564,743	10.59	0.70	5.84	0.50	6.76	0.59	24.51	0.90	3.05	0.36	2.86	0.39	40.78	1.10
64	Computer systems analysts and scientists	2: Male	393,336	8.87	0.79	4.29	0.56	5.48	0.67	20.07	1.06	3.00	0.40	2.43	0.41	38.75	1.18
64	Computer systems analysts and scientists	3: Female	171,407	14.53	1.57	9.40	1.24	9.70	1.24	34.70	2.04	3.14	0.80	3.84	0.84	45.46	2.14
64	Computer systems analysts and scientists	4: White	484,823	10.14	0.79	5.16	0.59	6.53	0.66	24.50	1.06	3.23	0.41	2.86	0.44	42.06	1.19
64	Computer systems analysts and scientists	5: Black	39,421	15.18	3.14	11.28	2.77	9.07	2.31	27.90	3.59	2.05	1.34	2.50	1.29	37.17	3.88
64	Computer systems analysts and scientists	6: Other	40,500	11.53	2.42	8.69	2.57	7.28	2.22	21.26	2.73	1.80	1.35	3.14	1.18	29.01	3.74
64	Computer systems analysts and scientists	7: Hispanic	17,252	13.65	4.50	11.16	4.75	12.18	4.28	15.41	4.39	3.01	2.10	3.81	2.62	38.88	5.25
64	Computer systems analysts and scientists	8: NonHispanic	547,491	10.49	0.69	5.68	0.51	6.59	0.57	24.79	0.95	3.05	0.36	2.83	0.40	40.85	1.11
65	Operations/systems researchers and analysts	1: Total	279,844	9.41	0.91	5.07	0.70	6.41	0.73	26.36	1.55	2.04	0.44	2.87	0.46	38.80	1.68
65	Operations/systems researchers and analysts	2: Male	163,791	7.86	1.02	4.06	0.77	5.10	0.85	19.82	1.90	2.56	0.62	2.19	0.57	37.92	1.90
65	Operations/systems researchers and analysts	3: Female	116,053	11.60	1.69	6.49	1.15	8.26	1.33	35.56	2.20	1.31	0.50	3.84	0.79	40.05	2.53
65	Operations/systems researchers and analysts	4: White	241,287	9.53	1.05	4.84	0.78	6.37	0.83	26.31	1.81	1.56	0.38	2.79	0.53	39.84	1.83
65	Operations/systems researchers and analysts	5: Black	25,216	10.59	2.86	7.30	2.39	9.45	2.93	25.92	4.43	4.06	2.03	5.17	2.01	35.47	5.68
65	Operations/systems researchers and analysts	6: Other	13,341	5.00	2.59	5.00	2.59	1.51	1.48	28.04	6.52	6.92	3.98	0.00	0.00	26.40	6.14
65	Operations/systems researchers and analysts	7: Hispanic	11,394	13.33	5.47	6.14	3.35	11.08	4.14	34.29	7.27	0.00	0.00	8.71	4.63	42.21	6.48
65	Operations/systems researchers and analysts	8: NonHispanic	268,451	9.24	0.91	5.02	0.68	6.21	0.72	26.02	1.55	2.13	0.46	2.62	0.46	38.66	1.66
73	Chemists, except biochemists	1: Total	124,271	7.34	1.17	3.97	0.90	5.29	1.00	19.35	2.11	4.48	1.19	3.46	0.96	41.38	2.26
73	Chemists, except biochemists	2: Male	95,013	7.15	1.39	4.25	1.13	5.24	1.22	16.76	2.08	4.21	1.12	3.70	1.08	42.70	2.58
73	Chemists, except biochemists	3: Female	29,258	7.96	2.41	3.08	1.54	5.44	2.09	27.69	4.66	5.38	2.57	2.71	1.54	37.09	4.46
73	Chemists, except biochemists	4: White	102,713	8.19	1.36	4.60	1.09	5.71	1.20	21.32	2.36	4.38	1.28	3.42	1.06	44.58	2.41
73	Chemists, except biochemists	5: Black	7,721	0.00	0.00	0.00	0.00	0.00	0.00	14.66	6.40	5.08	3.72	7.60	4.63	27.14	7.94
73	Chemists, except biochemists	6: Other	13,837	5.13	2.60	1.51	1.52	5.13	2.60	7.40	3.91	4.95	3.01	1.44	1.49	25.52	6.43
73	Chemists, except biochemists	7: Hispanic	4,617	12.08	6.80	1.70	1.64	12.08	6.80	37.08	13.17	0.00	0.00	6.84	5.19	61.30	13.02
73	Chemists, except biochemists	8: NonHispanic	119,654	7.16	1.20	4.06	0.93	5.03	1.03	18.66	2.08	4.66	1.24	3.33	0.97	40.61	2.31
84	Physicians	1: Total	564,555	5.58	0.58	2.40	0.37	2.88	0.40	13.56	0.95	4.32	0.46	2.33	0.33	32.38	1.19
84	Physicians	2: Male	444,900	4.50	0.54	1.82	0.36	2.25	0.36	10.67	0.92	4.33	0.49	2.09	0.37	30.66	1.26
84	Physicians	3: Female	119,655	9.56	1.40	4.54	1.12	5.22	1.14	24.27	2.29	4.27	0.98	3.23	0.86	38.77	2.65
84	Physicians	4: White	478,408	6.00	0.67	2.55	0.41	3.09	0.47	14.36	1.00	4.42	0.53	2.23	0.36	33.86	1.33
84	Physicians	5: Black	24,627	3.90	1.87	0.91	0.93	1.55	1.16	9.04	4.12	0.85	0.78	1.09	0.82	24.08	4.00
84	Physicians	6: Other	61,520	2.95	1.16	1.81	0.78	1.76	0.76	9.19	1.99	4.90	1.20	3.62	1.35	24.14	3.55
84	Physicians	7: Hispanic	34,042	9.87	2.68	4.71	1.90	8.37	2.65	10.87	3.17	4.33	1.56	1.54	1.12	25.59	3.77
84	Physicians	8: NonHispanic	530,513	5.30	0.59	2.25	0.37	2.52	0.38	13.74	1.04	4.32	0.46	2.38	0.33	32.81	1.26
85	Dentists	1: Total	139,120	3.11	0.70	1.43	0.49	1.73	0.49	13.63	1.34	3.48	0.68	1.23	0.43	29.11	1.95
85	Dentists	2: Male	121,213	2.93	0.73	1.00	0.43	1.54	0.49	13.07	1.47	3.60	0.73	1.24	0.47	29.02	2.14
85	Dentists	3: Female	17,908	4.29	2.56	4.29	2.56	3.08	2.25	17.38	3.99	2.67	1.93	1.14	1.11	29.74	5.96
85	Dentists	4: White	126,000	2.99	0.77	1.35	0.49	1.47	0.51	13.96	1.45	3.66	0.76	1.20	0.46	30.10	2.14
85	Dentists	5: Black	4,094	13.56	7.39	6.95	6.84	13.56	7.39	20.21	8.84	0.00	0.00	0.00	0.00	38.00	10.82
85	Dentists	6: Other	9,026	0.00	0.00	0.00	0.00	0.00	0.00	6.07	4.24	2.64	2.76	2.26	2.29	11.28	5.34
85	Dentists	7: Hispanic	3,889	0.00	0.00	0.00	0.00	0.00	0.00	22.05	8.86	7.10	6.29	0.00	0.00	27.89	12.42
85	Dentists	8: NonHispanic	135,231	3.20	0.72	1.47	0.50	1.78	0.51	13.39	1.36	3.38	0.69	1.27	0.45	29.14	2.01
95	Registered nurses	1: Total	1,799,165	10.75	0.36	6.05	0.29	7.72	0.32	29.69	0.59	6.36	0.28	3.60	0.22	43.10	0.67
95	Registered nurses	2: Male	92,522	12.09	1.73	6.02	1.19	8.41	1.45	16.85	2.01	6.68	1.27	3.27	0.99	39.18	2.98
95	Registered nurses	3: Female	1,706,643	10.67	0.37	6.05	0.30	7.69	0.33	30.38	0.61	6.34	0.30	3.62	0.23	43.31	0.71
95	Registered nurses	4: White	1,537,400	10.68	0.40	5.88	0.34	7.55	0.36	30.57	0.62	6.48	0.31	3.18	0.24	44.37	0.68
95	Registered nurses	5: Black	172,626	12.36	1.24	8.09	1.14	9.63	1.12	27.28	1.64	6.53	0.95	6.76	1.06	37.82	1.87
95	Registered nurses	6: Other	89,139	8.79	1.74	4.93	1.35	7.02	1.55	19.05	2.35	3.84	1.00	4.80	1.14	31.46	2.61
95	Registered nurses	7: Hispanic	57,372	8.08	1.73	3.33	0.94	7.12	1.57	27.79	3.27	3.88	1.11	3.34	1.18	36.66	2.94
95	Registered nurses	8: NonHispanic	1,741,793	10.84	0.38	6.14	0.30	7.74	0.33	29.75	0.61	6.44	0.29	3.61	0.22	43.31	0.69
96	Pharmacists	1: Total	164,795	6.98	0.97	3.78	0.75	4.07	0.79	15.26	1.64	3.16	0.72	3.35	0.80	32.98	2.01
96	Pharmacists	2: Male	96,449	7.00	1.30	3.68	0.95	4.26	1.05	9.85	1.94	3.47	1.02	4.21	1.21	32.50	2.65
96	Pharmacists	3: Female	68,346	6.96	1.64	3.91	1.22	3.80	1.33	22.89	2.68	2.73	0.97	2.15	0.83	33.65	2.94
96	Pharmacists	4: White	148,253	7.20	1.04	3.79	0.78	4.03	0.83	15.94	1.73	3.21	0.78	3.40	0.87	34.38	2.10
96	Pharmacists	5: Black	4,373	5.17	3.43	0.00	0.00	2.93	2.96	18.45	9.20	10.33	7.90	0.00	0.00	26.44	11.70
96	Pharmacists	6: Other	12,169	4.93	3.66	4.93	3.66	4.93	3.66	5.74	3.29	0.00	0.00	4.02	2.96	18.25	5.79
96	Pharmacists	7: Hispanic	5,287	4.00	4.05	4.00	4.05	0.00	0.00	13.13	8.88	5.36	5.38	3.99	3.78	31.43	8.44
96	Pharmacists	8: NonHispanic	159,508	7.08	1.01	3.77	0.77	4.20	0.81	15.33	1.61	3.09	0.73	3.33	0.81	33.03	2.06
97	Dietitians	1: Total	105,770	8.51	1.46	4.36	1.43	4.98	1.16	26.97	2.33	2.39	0.73	3.83	1.10	32.32	2.23
97	Dietitians	2: Male	13,150	11.04	4.71	5.39	3.40	7.48	4.01	18.40	5.70	4.91	3.48	3.10	2.35	18.34	5.66
97	Dietitians	3: Female	92,621	8.16	1.63	4.21	1.53	4.62	1.21	28.19	2.54	2.03	0.68	3.93	1.24	34.31	2.57
97	Dietitians	4: White	76,547	8.98	1.69	4.04	1.51	4.98	1.47	29.11	2.82	1.78	0.71	2.77	1.10	35.62	2.83
97	Dietitians	5: Black	22,571	9.44	2.87	6.73	2.80	6.45	2.44	21.20	4.51	4.14	2.14	5.47	1.95	22.01	3.81
97	Dietitians	6: Other	6,653	0.00	0.00	0.00	0.00	0.00	0.00	21.98	9.48	3.45	3.62	10.45	7.62	29.40	9.92
97	Dietitians	7: Hispanic	7,683	15.28	11.09	12.01	10.92	15.28	11.09	38.52	11.30	6.26	4.70	2.99	3.19	45.84	11.50
97	Dietitians	8: NonHispanic	98,087	7.98	1.30	3.76	1.03	4.17	1.03	26.06	2.38	2.08	0.70	3.89	1.15	31.26	2.25
154	Postsecondary teachers, subject unspecified	1: Total	225,123	8.67	0.88	4.34	0.82	4.29	0.66	27.47	1.64	3.55	0.73	4.02	0.78	39.58	2.08
154	Postsecondary teachers, subject unspecified	2: Male	128,234	6.10	0.91	2.51	0.69	2.85	0.69	23.24	2.17	3.34	0.87	3.90	1.08	35.76	3.01
154	Postsecondary teachers, subject unspecified	3: Female	96,889	12.07	1.63	6.77	1.42	6.18	1.27	33.08	2.31	3.83	1.06	4.17	1.23	44.63	2.62
154	Postsecondary teachers, subject unspecified	4: White	177,407	9.37	0.97	4.54	0.87	4.70	0.75	29.53	1.80	3.36	0.76	3.55	0.97	43.70	1.87
154	Postsecondary teachers, subject unspecified	5: Black	15,509	6.39	3.20	6.39	3.20	3.96	2.29	25.11	5.70	6.26	2.83	10.08	3.67	37.31	6.21
154	Postsecondary teachers, subject unspecified	6: Other	32,207	5.91	2.40	2.25	1.70	2.15	1.66	17.27	4.10	3.32	1.83	3.67	1.86	17.95	4.13
154	Postsecondary teachers, subject unspecified	7: Hispanic	8,057	2.49	1.84	0.00	0.00	0.00	0.00	33.30	9.70	2.54	2.66	11.69	8.65	45.83	8.93
154	Postsecondary teachers, subject unspecified	8: NonHispanic	217,066	8.90	0.92	4.50	0.85	4.45	0.71	27.26	1.67	3.59	0.80	3.73	0.67	39.34	2.11
155	Teachers, pre-K and K	1: Total	408,944	10.76	0.78	6.65	0.63	7.04	0.69	32.67	1.35	4.47	0.54	4.68	0.56	40.33	1.34
155	Teachers, pre-K and K	2: Male	6,290	6.96	4.63	6.96	4.63	6.96	4.63	22.23	8.23	0.00	0.00	4.19	4.17	28.46	9.94
155	Teachers, pre-K and K	3: Female	402,653	10.82	0.79	6.64	0.64	7.05	0.70	32.83	1.37	4.54	0.55	4.69	0.57	40.51	1.35
155	Teachers, pre-K and K	4: White	344,094	10.79	0.83	6.67	0.65	7.03	0.73	33.72	1.47	4.47	0.61	3.90	0.56	41.70	1.49
155	Teachers, pre-K and K	5: Black	52,578	10.16	2.21	6.75	1.89	7.45	1.93	27.56	3.49	5.55	1.97	9.33	1.97	32.50	3.97
155	Teachers, pre-K and K	6: Other	12,272	12.34	6.19	5.62	3.36	5.62	3.36	25.09	8.21	0.00	0.00	6.84	4.21	35.22	9.07
155	Teachers, pre-K and K	7: Hispanic	25,558	11.12	3.69	5.10	1.98	8.66	4.01	34.50	5.22	2.68	2.06	8.22	1.99	31.70	4.53
155	Teachers, pre-K and K	8: NonHispanic	383,386	10.73	0.79	6.75	0.66	6.94	0.66	32.54	1.42	4.59	0.56	4.45	0.60	40.90	1.38
156	Teachers, elementary school	1: Total	1,524,602	9.71	0.38	5.29	0.28	6.28	0.31	31.01	0.66	4.57	0.30	3.21	0.26	42.16	0.72
156	Teachers, elementary school	2: Male	240,550	9.59	0.89	4.12	0.62	6.66	0.77	22.02	1.33	4.88	0.79	3.65	0.69	40.64	1.76
156	Teachers, elementary school	3: Female	1,284,053	9.74	0.45	5.50	0.33	6.21	0.35	32.70	0.74	4.51	0.30	3.13	0.27	42.44	0.81
156	Teachers, elementary school	4: White	1,361,322	9.71	0.40	5.37	0.30	6.22	0.32	31.29	0.69	4.52	0.33	2.80	0.25	42.60	0.76
156	Teachers, elementary school	5: Black	140,683	9.12	1.03	4.87	0.83	6.11	0.91	27.29	1.76	5.21	0.81	6.64	0.97	36.44	1.99
156	Teachers, elementary school	6: Other	22,597	13.75	3.26	3.07	2.07	11.23	2.98	37.32	5.66	3.72	1.91	6.51	3.01	51.31	4.47
156	Teachers, elementary school	7: Hispanic	63,217	11.58	2.40	6.87	1.82	7.25	2.22	32.63	2.72	6.20	1.69	6.12	1.50	43.13	3.88
156	Teachers, elementary school	8: NonHispanic	1,461,386	9.63	0.38	5.22	0.29	6.24	0.31	30.94	0.69	4.50	0.29	3.08	0.26	42.12	0.74
157	Teachers, secondary school	1: Total	1,207,921	8.94	0.43	5.08	0.34	5.73	0.33	27.01	0.63	4.62	0.31	2.71	0.23	42.19	0.85
157	Teachers, secondary school	2: Male	528,711	6.62	0.60	3.34	0.41	4.02	0.44	19.63	0.92	4.31	0.50	1.94	0.29	39.51	1.18
157	Teachers, secondary school	3: Female	679,210	10.74	0.58	6.44	0.49	7.06	0.48	32.77	0.85	4.86	0.40	3.31	0.34	44.27	1.16
157	Teachers, secondary school	4: White	1,096,317	8.99	0.46	5.06	0.36	5.71	0.35	27.40	0.68	4.60	0.32	2.45	0.25	42.81	0.89
157	Teachers, secondary school	5: Black	93,839	7.54	1.23	4.93	1.10	5.25	1.02	23.76	2.01	5.23	1.13	6.02	1.23	35.35	2.39
157	Teachers, secondary school	6: Other	17,764	12.80	4.83	7.29	3.67	9.44	4.28	20.23	4.32	2.82	2.01	1.25	1.32	40.29	6.28
157	Teachers, secondary school	7: Hispanic	46,830	10.34	2.50	5.40	1.72	5.55	1.82	31.68	4.31	4.98	1.75	4.14	1.39	42.65	5.21
157	Teachers, secondary school	8: NonHispanic	1,161,090	8.88	0.43	5.07	0.34	5.74	0.34	26.82	0.64	4.61	0.30	2.65	0.23	42.17	0.84
158	Teachers, special education	1: Total	252,519	11.14	1.02	6.11	0.80	7.66	0.87	35.20	1.50	4.66	0.73	3.20	0.59	45.26	1.84
158	Teachers, special education	2: Male	42,514	11.79	2.96	7.05	2.30	9.75	2.46	22.66	3.54	1.41	0.84	4.58	1.88	38.83	3.88
158	Teachers, special education	3: Female	210,005	11.01	1.13	5.92	0.91	7.24	0.95	37.74	1.70	5.32	0.83	2.92	0.58	46.56	1.99
158	Teachers, special education	4: White	219,377	10.70	1.10	5.78	0.84	6.92	0.90	37.28	1.62	4.47	0.83	2.10	0.52	45.67	1.98
158	Teachers, special education	5: Black	29,254	14.40	3.61	7.88	2.82	12.68	3.51	19.79	3.47	5.48	1.90	11.09	3.51	41.00	4.64
158	Teachers, special education	6: Other	3,887	11.89	6.60	11.89	6.60	11.89	6.60	32.83	14.39	9.24	6.36	6.12	6.27	54.01	14.27
158	Teachers, special education	7: Hispanic	9,380	15.62	5.88	7.48	4.40	13.10	5.41	45.11	7.13	9.54	4.65	8.32	4.92	47.97	9.13
158	Teachers, special education	8: NonHispanic	243,139	10.97	1.06	6.06	0.84	7.45	0.89	34.83	1.52	4.47	0.75	3.00	0.58	45.15	1.85
159	Teachers	1: Total	545,219	9.66	0.74	5.33	0.50	5.67	0.53	30.88	1.09	4.85	0.48	4.16	0.43	41.90	1.12
159	Teachers	2: Male	207,073	8.92	1.08	4.65	0.74	5.10	0.81	24.45	1.62	5.90	0.86	4.01	0.70	36.24	1.62
159	Teachers	3: Female	338,146	10.11	0.90	5.74	0.65	6.02	0.66	34.79	1.26	4.21	0.62	4.25	0.56	45.36	1.54
159	Teachers	4: White	489,427	9.96	0.80	5.46	0.55	5.74	0.56	31.35	1.21	4.94	0.51	3.82	0.44	42.73	1.21
159	Teachers	5: Black	39,796	8.64	2.13	5.85	1.67	5.98	1.73	28.63	3.35	4.60	1.61	8.42	2.16	36.35	3.69
159	Teachers	6: Other	15,996	2.88	2.11	0.00	0.00	2.88	2.11	22.05	5.07	2.84	2.02	3.98	2.33	30.35	6.12
159	Teachers	7: Hispanic	22,091	7.79	2.52	5.27	2.02	6.78	2.60	29.04	4.81	2.88	1.67	5.53	2.55	42.73	5.61
159	Teachers	8: NonHispanic	523,129	9.74	0.76	5.33	0.51	5.63	0.53	30.95	1.10	4.94	0.50	4.10	0.43	41.86	1.11
163	Counselors, Educational and Vocational	1: Total	262,756	9.35	0.87	5.65	0.73	6.79	0.78	28.96	1.49	4.65	0.68	4.29	0.70	47.74	1.52
163	Counselors, Educational and Vocational	2: Male	92,738	7.68	1.46	2.69	0.82	5.14	1.12	19.97	2.15	3.20	1.00	5.74	1.38	45.16	2.91
163	Counselors, Educational and Vocational	3: Female	170,018	10.26	1.21	7.26	1.06	7.69	1.07	33.86	1.96	5.44	0.86	3.50	0.75	49.14	2.14
163	Counselors, Educational and Vocational	4: White	211,544	9.42	0.98	5.45	0.80	6.61	0.87	29.17	1.68	4.63	0.73	3.70	0.71	47.98	1.63
163	Counselors, Educational and Vocational	5: Black	40,618	7.42	1.88	5.69	1.65	6.01	1.71	27.68	3.60	4.86	1.82	5.49	2.00	42.70	4.42
163	Counselors, Educational and Vocational	6: Other	10,594	15.38	5.58	9.41	5.28	13.33	5.62	29.74	7.75	4.24	3.20	11.45	6.30	62.22	6.65
163	Counselors, Educational and Vocational	7: Hispanic	11,557	16.37	5.59	6.29	3.69	10.66	4.89	25.81	6.26	6.22	3.43	6.67	3.79	28.57	6.16
163	Counselors, Educational and Vocational	8: NonHispanic	251,198	9.03	0.91	5.62	0.76	6.61	0.80	29.10	1.52	4.58	0.65	4.18	0.71	48.62	1.66
164	Librarians	1: Total	185,788	10.07	1.19	5.92	0.92	6.41	1.01	32.05	1.85	5.17	0.92	2.21	0.51	47.57	1.94
164	Librarians	2: Male	27,565	5.76	2.01	1.62	1.13	4.12	1.73	19.76	4.41	3.68	2.24	1.70	1.22	43.85	5.37
164	Librarians	3: Female	158,222	10.82	1.30	6.67	1.05	6.81	1.10	34.18	2.02	5.43	0.97	2.29	0.56	48.22	2.02
164	Librarians	4: White	167,087	10.49	1.25	6.44	1.01	6.86	1.09	33.49	1.95	5.50	0.99	2.41	0.57	48.34	2.07
164	Librarians	5: Black	10,377	7.10	4.74	2.23	1.62	2.23	1.62	23.57	6.64	2.06	1.67	0.62	0.62	41.25	7.23
164	Librarians	6: Other	8,323	5.26	4.07	0.00	0.00	2.61	2.82	13.80	5.84	2.40	2.36	0.00	0.00	40.08	8.46
164	Librarians	7: Hispanic	6,860	3.13	3.13	0.00	0.00	0.00	0.00	30.88	11.00	6.49	4.27	10.31	7.40	40.71	10.86
164	Librarians	8: NonHispanic	178,927	10.34	1.21	6.15	0.96	6.66	1.05	32.09	1.87	5.12	0.93	1.89	0.45	47.84	1.94
166	Economists	1: Total	166,170	10.00	1.43	4.56	0.94	5.59	1.11	29.24	2.01	3.81	0.78	2.38	0.59	38.95	1.92
166	Economists	2: Male	97,324	7.05	1.40	2.16	0.70	3.01	0.82	24.25	2.49	4.25	1.11	1.42	0.70	34.51	2.32
166	Economists	3: Female	68,846	14.17	2.30	7.94	1.75	9.23	2.00	36.28	3.02	3.19	1.11	3.74	1.15	45.23	3.41
166	Economists	4: White	150,931	10.31	1.52	4.76	0.99	5.76	1.16	29.51	2.20	3.62	0.79	2.25	0.64	39.03	2.02
166	Economists	5: Black	8,685	6.75	3.95	4.38	3.20	6.75	3.95	32.66	7.27	10.00	5.97	0.00	0.00	44.02	7.51
166	Economists	6: Other	6,553	7.21	4.88	0.00	0.00	0.00	0.00	18.39	7.27	0.00	0.00	8.46	6.23	30.41	10.05
166	Economists	7: Hispanic	7,949	18.05	7.54	6.23	4.20	13.98	6.65	12.00	5.72	5.79	4.03	5.79	4.03	49.14	10.32
166	Economists	8: NonHispanic	158,220	9.59	1.49	4.47	0.97	5.16	1.11	30.11	2.03	3.71	0.79	2.21	0.58	38.44	2.06
167	Psychologists	1: Total	190,497	10.49	1.14	5.72	0.87	6.57	0.97	36.39	1.84	6.03	0.87	3.80	0.78	48.59	1.94
167	Psychologists	2: Male	82,506	9.89	1.93	4.44	1.32	5.30	1.38	28.47	2.68	2.98	0.83	4.02	1.06	46.11	2.87
167	Psychologists	3: Female	107,991	10.95	1.44	6.70	1.17	7.55	1.29	42.42	2.31	8.36	1.41	3.63	1.10	50.49	2.44
167	Psychologists	4: White	174,659	10.65	1.24	6.00	0.91	6.68	1.01	36.82	2.05	6.46	0.92	3.51	0.73	49.05	1.94
167	Psychologists	5: Black	12,367	5.22	4.13	0.90	0.81	2.71	2.42	34.99	7.52	1.67	1.30	8.90	6.36	38.22	7.23
167	Psychologists	6: Other	3,472	21.43	11.75	8.58	8.29	14.83	10.13	18.43	11.18	0.00	0.00	0.00	0.00	62.62	16.03
167	Psychologists	7: Hispanic	9,612	12.00	5.98	12.00	5.98	12.00	5.98	42.56	8.40	8.46	5.10	10.96	5.88	43.19	7.84
167	Psychologists	8: NonHispanic	180,885	10.41	1.17	5.38	0.87	6.28	1.01	36.07	1.89	5.90	0.87	3.42	0.76	48.88	2.02
174	Social workers	1: Total	569,851	12.80	0.79	7.78	0.59	9.53	0.69	34.06	1.09	6.06	0.56	6.05	0.51	47.84	1.06
174	Social workers	2: Male	176,079	9.65	1.28	5.12	0.84	6.81	1.13	24.72	1.60	6.57	1.01	4.94	0.88	41.96	2.07
174	Social workers	3: Female	393,771	14.22	0.96	8.97	0.75	10.75	0.85	38.22	1.41	5.83	0.60	6.55	0.65	50.47	1.28
174	Social workers	4: White	441,564	12.64	0.84	7.84	0.64	9.42	0.72	34.09	1.26	5.63	0.58	4.89	0.55	48.71	1.31
174	Social workers	5: Black	114,755	14.12	1.76	8.22	1.24	10.61	1.65	33.11	2.01	7.30	1.26	9.53	1.26	45.40	2.32
174	Social workers	6: Other	13,531	7.15	3.38	2.16	1.81	3.84	2.45	41.09	7.27	9.46	4.07	14.38	5.54	40.14	6.87
174	Social workers	7: Hispanic	35,804	12.34	2.92	9.63	2.63	9.46	2.58	32.31	4.28	6.31	3.02	8.60	2.62	40.59	4.19
174	Social workers	8: NonHispanic	534,047	12.84	0.85	7.66	0.61	9.53	0.73	34.18	1.09	6.04	0.55	5.88	0.49	48.32	1.12
176	Clergy	1: Total	330,405	8.12	0.80	4.13	0.55	4.00	0.61	21.53	1.24	7.16	0.69	5.11	0.70	41.73	1.36
176	Clergy	2: Male	303,305	7.73	0.81	3.99	0.60	3.67	0.62	20.47	1.29	7.35	0.75	5.18	0.72	41.33	1.49
176	Clergy	3: Female	27,099	12.50	3.21	5.64	2.04	7.69	2.69	33.35	4.43	5.05	1.99	4.25	2.19	46.28	5.05
176	Clergy	4: White	286,145	8.08	0.89	3.90	0.59	3.91	0.66	22.04	1.30	7.41	0.76	4.36	0.71	43.29	1.49
176	Clergy	5: Black	35,690	8.25	2.66	5.45	2.32	4.97	2.05	19.83	3.48	5.20	1.72	10.62	2.81	31.56	3.84
176	Clergy	6: Other	8,570	9.05	6.34	6.01	5.79	3.05	2.97	11.87	7.22	7.00	4.92	6.95	4.80	32.06	8.83
176	Clergy	7: Hispanic	10,323	8.92	5.00	4.99	4.50	0.00	0.00	11.20	4.27	2.27	2.22	8.58	4.40	36.67	8.10
176	Clergy	8: NonHispanic	320,081	8.09	0.83	4.10	0.56	4.13	0.62	21.87	1.27	7.31	0.72	5.00	0.71	41.90	1.40
178	Lawyers	1: Total	747,311	6.80	0.56	3.76	0.42	4.28	0.44	25.16	1.22	3.95	0.32	2.65	0.32	37.29	1.11
178	Lawyers	2: Male	568,786	5.93	0.69	3.29	0.51	3.80	0.56	22.06	1.29	3.94	0.37	2.95	0.39	37.03	1.35
178	Lawyers	3: Female	178,525	9.58	1.20	5.23	0.81	5.78	0.88	35.04	2.03	3.96	0.69	1.68	0.44	38.13	2.00
178	Lawyers	4: White	700,998	6.89	0.61	3.88	0.44	4.36	0.47	25.16	1.21	3.99	0.35	2.56	0.32	37.29	1.13
178	Lawyers	5: Black	32,972	5.20	2.30	1.98	1.18	3.58	1.99	24.34	3.73	3.26	1.93	3.59	1.52	36.44	4.18
178	Lawyers	6: Other	13,340	6.33	3.97	1.56	1.58	1.56	1.58	27.00	6.85	3.55	2.44	5.31	2.64	39.28	7.31
178	Lawyers	7: Hispanic	24,022	8.25	3.09	5.05	2.34	5.13	2.27	23.99	4.86	1.89	1.33	0.85	0.89	35.58	5.60
178	Lawyers	8: NonHispanic	723,289	6.75	0.57	3.71	0.43	4.25	0.46	25.19	1.21	4.02	0.34	2.71	0.33	37.35	1.14
185	Designers	1: Total	526,843	10.51	0.71	6.10	0.64	7.32	0.68	25.96	1.05	4.53	0.48	4.32	0.45	40.18	1.26
185	Designers	2: Male	225,588	10.74	1.10	5.90	0.89	7.34	0.99	17.12	1.42	4.78	0.81	4.34	0.73	37.67	1.93
185	Designers	3: Female	301,255	10.34	0.95	6.24	0.85	7.30	0.92	32.54	1.37	4.34	0.57	4.30	0.62	42.06	1.48
185	Designers	4: White	485,631	10.45	0.76	5.76	0.63	7.20	0.71	27.05	1.11	4.68	0.51	4.09	0.45	40.77	1.32
185	Designers	5: Black	18,362	14.85	5.26	12.24	4.89	10.58	4.11	17.20	4.36	4.69	2.55	4.26	2.14	42.68	6.08
185	Designers	6: Other	22,851	8.35	3.29	8.35	3.29	7.21	3.44	9.66	4.07	1.16	1.13	9.21	3.86	25.64	5.28
185	Designers	7: Hispanic	31,508	9.70	2.57	8.06	2.49	8.93	2.46	24.74	4.25	9.42	2.80	7.18	2.13	34.64	3.99
185	Designers	8: NonHispanic	495,335	10.56	0.74	5.97	0.64	7.22	0.70	26.04	1.07	4.21	0.48	4.14	0.46	40.53	1.29
186	Musicians and composers	1: Total	171,362	8.94	1.31	5.88	1.08	2.53	0.61	25.47	1.91	4.92	0.99	5.99	1.04	39.84	2.32
186	Musicians and composers	2: Male	106,537	7.94	1.55	4.67	1.08	1.89	0.73	20.23	2.15	5.04	1.33	5.36	1.37	36.58	3.04
186	Musicians and composers	3: Female	64,825	10.57	2.07	7.87	1.89	3.58	1.02	34.06	3.38	4.71	1.30	7.01	1.60	45.21	3.55
186	Musicians and composers	4: White	149,422	8.90	1.37	5.76	1.18	2.54	0.64	27.11	2.05	4.49	0.93	5.13	1.00	40.55	2.41
186	Musicians and composers	5: Black	16,035	8.35	3.36	5.04	2.48	3.42	1.98	15.10	4.20	9.16	4.49	11.53	4.05	38.59	5.47
186	Musicians and composers	6: Other	5,906	11.37	7.06	11.37	7.06	0.00	0.00	11.30	8.21	4.26	4.36	12.49	8.44	25.43	7.60
186	Musicians and composers	7: Hispanic	10,895	8.08	4.50	8.08	4.50	4.08	3.88	14.22	5.51	0.00	0.00	9.46	6.17	36.06	7.84
186	Musicians and composers	8: NonHispanic	160,467	8.99	1.40	5.74	1.11	2.43	0.63	26.23	1.97	5.25	1.05	5.75	1.02	40.10	2.34
187	Actors and directors	1: Total	103,368	10.66	1.43	5.81	1.31	6.31	1.33	28.04	2.49	3.79	1.16	3.87	1.12	41.39	2.21
187	Actors and directors	2: Male	64,217	10.89	1.74	4.06	1.05	4.71	1.08	22.14	3.14	3.12	1.42	3.00	1.28	36.31	2.91
187	Actors and directors	3: Female	39,152	10.27	2.82	8.68	2.60	8.95	2.74	37.73	3.86	4.89	1.63	5.30	2.01	49.74	3.91
187	Actors and directors	4: White	94,457	10.61	1.62	5.93	1.43	6.22	1.51	29.10	2.51	3.11	1.07	2.45	0.91	40.84	2.63
187	Actors and directors	5: Black	6,067	16.36	7.73	6.63	6.57	10.75	7.22	11.28	7.38	11.72	7.21	21.23	10.03	48.44	10.85
187	Actors and directors	6: Other	2,844	0.00	0.00	0.00	0.00	0.00	0.00	28.61	16.89	9.57	7.51	14.12	13.37	44.58	15.74
187	Actors and directors	7: Hispanic	5,345	17.56	7.23	13.72	6.71	17.56	7.23	31.00	9.70	8.66	5.78	4.26	4.27	44.28	9.41
187	Actors and directors	8: NonHispanic	98,023	10.28	1.46	5.38	1.30	5.70	1.28	27.88	2.44	3.53	1.18	3.85	1.11	41.24	2.35
188	Painters/sculptors/craft-artists/artist printmakers	1: Total	243,308	8.98	1.07	5.53	0.84	6.17	0.78	25.54	1.54	3.75	0.63	3.90	0.64	45.22	2.23
188	Painters/sculptors/craft-artists/artist printmakers	2: Male	120,720	7.72	1.33	4.62	1.18	5.56	1.00	15.76	1.97	3.25	0.83	3.57	0.85	40.82	2.74
188	Painters/sculptors/craft-artists/artist printmakers	3: Female	122,587	10.23	1.69	6.43	1.35	6.77	1.24	35.21	2.25	4.24	0.94	4.21	0.88	49.54	2.90
188	Painters/sculptors/craft-artists/artist printmakers	4: White	223,410	9.22	1.11	5.78	0.87	6.36	0.84	26.77	1.63	3.76	0.66	3.59	0.65	46.20	2.25
188	Painters/sculptors/craft-artists/artist printmakers	5: Black	9,904	12.62	5.58	5.51	4.30	8.03	4.42	11.17	4.34	5.55	3.09	6.34	3.69	32.89	8.54
188	Painters/sculptors/craft-artists/artist printmakers	6: Other	9,994	0.00	0.00	0.00	0.00	0.00	0.00	12.07	5.22	1.74	1.75	8.57	4.62	35.49	8.76
188	Painters/sculptors/craft-artists/artist printmakers	7: Hispanic	10,852	0.00	0.00	0.00	0.00	0.00	0.00	6.56	3.58	0.00	0.00	0.00	0.00	26.98	6.99
188	Painters/sculptors/craft-artists/artist printmakers	8: NonHispanic	232,456	9.40	1.11	5.79	0.88	6.46	0.82	26.43	1.60	3.92	0.66	4.08	0.67	46.07	2.22
189	Photographers	1: Total	134,989	9.22	1.38	4.74	1.20	4.31	0.87	22.10	2.21	3.69	0.82	2.94	0.74	38.12	2.42
189	Photographers	2: Male	101,240	8.64	1.66	4.30	1.40	3.26	0.99	19.77	2.45	3.44	0.99	2.58	0.84	36.55	2.77
189	Photographers	3: Female	33,749	10.96	2.79	6.06	1.89	7.44	2.21	29.06	3.89	4.44	1.62	4.01	1.69	42.86	4.53
189	Photographers	4: White	125,085	9.52	1.44	4.87	1.25	4.42	0.91	22.53	2.28	3.69	0.83	2.88	0.78	39.32	2.46
189	Photographers	5: Black	6,256	8.56	5.44	4.83	4.03	4.53	3.82	19.24	8.14	2.48	2.49	2.48	2.49	25.94	8.49
189	Photographers	6: Other	3,648	0.00	0.00	0.00	0.00	0.00	0.00	12.20	7.98	5.80	5.89	5.79	5.42	18.00	12.55
189	Photographers	7: Hispanic	4,926	4.58	4.49	4.58	4.49	0.00	0.00	13.59	7.09	0.00	0.00	0.00	0.00	18.60	8.75
189	Photographers	8: NonHispanic	130,063	9.40	1.38	4.75	1.16	4.47	0.90	22.42	2.24	3.83	0.86	3.05	0.77	38.86	2.46
195	Editors and reporters	1: Total	247,967	9.58	1.14	5.10	0.72	6.37	0.82	28.60	1.59	4.87	0.70	2.94	0.58	41.30	1.84
195	Editors and reporters	2: Male	130,383	4.74	1.13	2.98	0.81	2.72	0.73	18.99	1.92	3.81	0.82	3.10	0.69	35.22	2.01
195	Editors and reporters	3: Female	117,584	14.94	1.76	7.45	1.22	10.43	1.37	39.18	2.37	6.04	1.22	2.77	0.81	48.04	2.97
195	Editors and reporters	4: White	228,960	9.49	1.21	5.10	0.77	6.22	0.86	28.95	1.60	4.50	0.67	2.95	0.61	41.97	1.90
195	Editors and reporters	5: Black	12,182	11.51	3.81	6.38	3.10	9.50	4.13	22.42	6.76	11.31	4.69	1.06	1.07	41.13	8.86
195	Editors and reporters	6: Other	6,825	9.01	5.96	2.98	3.01	6.03	5.44	27.07	8.26	5.76	4.15	6.28	4.50	19.22	7.62
195	Editors and reporters	7: Hispanic	6,974	9.38	5.37	6.04	4.19	6.26	4.44	33.17	10.86	2.70	2.71	0.00	0.00	24.18	9.36
195	Editors and reporters	8: NonHispanic	240,992	9.58	1.16	5.07	0.73	6.37	0.82	28.49	1.64	4.93	0.72	3.03	0.60	41.79	1.90
197	Public relations specialists	1: Total	168,127	8.97	1.17	3.81	0.72	6.08	0.93	29.50	1.93	3.25	0.65	2.96	0.72	38.99	1.77
197	Public relations specialists	2: Male	72,038	8.48	1.94	3.87	1.18	5.03	1.53	21.12	2.59	4.08	1.10	3.75	1.22	39.10	2.78
197	Public relations specialists	3: Female	96,088	9.33	1.54	3.77	0.89	6.87	1.28	35.80	2.77	2.63	0.77	2.37	0.87	38.92	2.47
197	Public relations specialists	4: White	152,746	8.34	1.20	3.95	0.79	5.41	0.96	29.03	1.97	3.18	0.67	2.54	0.68	39.48	1.77
197	Public relations specialists	5: Black	11,635	19.33	6.38	2.44	1.66	16.04	5.56	39.02	7.69	5.33	3.05	9.46	5.25	36.54	8.51
197	Public relations specialists	6: Other	3,746	2.24	2.30	2.24	2.30	2.24	2.30	18.96	9.97	0.00	0.00	0.00	0.00	26.83	11.34
197	Public relations specialists	7: Hispanic	8,036	3.39	3.32	0.00	0.00	3.39	3.32	12.01	5.91	7.14	4.18	4.07	4.04	37.51	7.62
197	Public relations specialists	8: NonHispanic	160,091	9.25	1.20	4.00	0.75	6.21	0.95	30.37	2.05	3.06	0.63	2.91	0.72	39.07	1.82
203	Clinical lab technologists and technicians	1: Total	328,584	8.62	0.89	4.72	0.59	6.27	0.82	25.61	1.36	6.26	0.68	4.46	0.64	35.61	1.53
203	Clinical lab technologists and technicians	2: Male	78,792	8.13	1.99	2.55	0.84	6.48	1.78	13.08	2.24	5.93	1.28	4.55	1.44	32.30	3.28
203	Clinical lab technologists and technicians	3: Female	249,791	8.77	0.85	5.40	0.73	6.20	0.79	29.57	1.58	6.37	0.80	4.43	0.69	36.65	1.69
203	Clinical lab technologists and technicians	4: White	252,780	7.96	0.84	4.76	0.63	5.19	0.69	26.06	1.43	6.36	0.81	3.96	0.69	35.97	1.76
203	Clinical lab technologists and technicians	5: Black	50,404	11.29	2.26	6.44	1.75	10.84	2.30	24.48	3.35	7.56	2.03	8.37	2.26	37.59	3.36
203	Clinical lab technologists and technicians	6: Other	25,400	9.83	4.41	0.82	0.83	7.90	4.28	23.36	5.20	2.67	1.56	1.74	1.21	28.06	5.38
203	Clinical lab technologists and technicians	7: Hispanic	24,898	8.75	2.86	4.18	2.11	5.32	2.05	21.76	4.64	5.83	2.84	6.16	2.80	38.32	6.00
203	Clinical lab technologists and technicians	8: NonHispanic	303,685	8.61	0.90	4.76	0.60	6.34	0.82	25.93	1.35	6.30	0.70	4.32	0.63	35.39	1.52
206	Radiologic technicians	1: Total	137,287	8.07	1.27	4.78	0.88	5.70	1.14	24.63	1.91	5.76	1.20	3.18	0.91	37.07	2.30
206	Radiologic technicians	2: Male	41,478	6.90	1.79	4.57	1.40	5.09	1.55	11.90	2.98	4.31	1.81	1.17	0.83	36.06	4.44
206	Radiologic technicians	3: Female	95,809	8.57	1.56	4.87	1.14	5.96	1.36	30.17	2.56	6.39	1.36	4.06	1.29	37.50	2.69
206	Radiologic technicians	4: White	121,044	8.13	1.26	4.88	0.97	5.88	1.14	25.20	2.05	5.29	1.09	2.11	0.72	36.15	2.33
206	Radiologic technicians	5: Black	11,089	8.68	3.92	5.92	3.30	3.96	2.73	20.77	7.15	13.54	6.30	14.32	7.36	46.16	9.59
206	Radiologic technicians	6: Other	5,154	5.31	5.45	0.00	0.00	5.31	5.45	19.72	9.86	0.00	0.00	4.23	4.20	39.06	11.13
206	Radiologic technicians	7: Hispanic	11,059	6.74	3.69	2.07	2.05	6.74	3.69	8.72	5.04	0.00	0.00	0.00	0.00	32.69	8.59
206	Radiologic technicians	8: NonHispanic	126,228	8.18	1.33	5.02	0.96	5.61	1.17	25.97	2.08	6.26	1.31	3.46	0.99	37.45	2.47
207	Licensed practical nurses	1: Total	433,437	13.06	0.94	8.32	0.77	10.89	0.80	29.27	1.27	7.84	0.69	7.00	0.60	45.63	1.41
207	Licensed practical nurses	2: Male	18,738	14.23	4.40	13.15	4.27	10.84	3.91	19.53	5.02	9.54	5.25	12.01	3.87	50.10	7.24
207	Licensed practical nurses	3: Female	414,700	13.01	0.95	8.11	0.77	10.90	0.82	29.71	1.27	7.76	0.68	6.78	0.61	45.43	1.36
207	Licensed practical nurses	4: White	340,291	13.64	1.12	8.70	0.86	11.38	0.94	30.57	1.48	8.46	0.81	6.19	0.64	47.24	1.61
207	Licensed practical nurses	5: Black	80,115	11.19	1.78	6.54	1.59	9.06	1.59	23.25	2.24	5.98	1.32	10.24	1.62	39.33	2.80
207	Licensed practical nurses	6: Other	13,031	9.49	4.29	9.49	4.29	9.49	4.29	32.06	7.63	3.07	2.09	8.46	3.84	42.43	8.29
207	Licensed practical nurses	7: Hispanic	22,621	14.40	4.84	12.67	4.19	13.42	4.72	22.80	4.26	6.84	2.80	5.41	2.88	46.64	6.26
207	Licensed practical nurses	8: NonHispanic	410,816	12.99	0.97	8.08	0.78	10.75	0.80	29.62	1.29	7.89	0.70	7.09	0.62	45.58	1.42
208	Health technologists and technicians	1: Total	330,504	11.90	1.10	6.60	0.94	8.10	0.69	26.66	1.25	6.61	0.76	4.84	0.64	40.24	1.43
208	Health technologists and technicians	2: Male	101,316	8.91	1.54	3.46	1.00	7.09	1.34	15.30	2.20	4.33	1.02	3.37	0.88	33.07	2.49
208	Health technologists and technicians	3: Female	229,188	13.23	1.52	7.98	1.34	8.54	0.86	31.67	1.59	7.62	0.98	5.49	0.80	43.40	1.75
208	Health technologists and technicians	4: White	266,221	12.27	1.26	7.16	1.14	8.63	0.75	28.63	1.43	7.13	0.91	4.43	0.69	41.94	1.56
208	Health technologists and technicians	5: Black	45,241	8.80	2.24	4.46	1.62	5.61	1.74	18.39	3.00	5.84	1.81	8.42	1.82	31.99	3.55
208	Health technologists and technicians	6: Other	19,042	14.17	5.02	3.77	2.68	6.61	3.92	18.85	6.14	1.30	1.30	2.18	1.57	35.97	5.94
208	Health technologists and technicians	7: Hispanic	24,937	4.44	2.25	3.33	1.96	2.92	1.68	22.89	3.88	7.25	2.54	6.84	2.76	33.75	4.17
208	Health technologists and technicians	8: NonHispanic	305,567	12.51	1.19	6.86	1.00	8.52	0.73	26.97	1.32	6.56	0.77	4.68	0.65	40.76	1.52
213	Electrical and electronic technicians	1: Total	378,968	7.42	0.77	4.96	0.56	5.70	0.66	17.19	1.01	3.74	0.51	3.48	0.57	36.72	1.37
213	Electrical and electronic technicians	2: Male	320,198	6.99	0.79	4.61	0.59	5.31	0.70	15.20	1.15	3.65	0.56	2.83	0.49	35.52	1.58
213	Electrical and electronic technicians	3: Female	58,770	9.76	1.95	6.83	1.52	7.84	1.69	27.99	3.08	4.19	1.33	6.99	2.15	43.29	3.28
213	Electrical and electronic technicians	4: White	318,155	8.07	0.90	5.34	0.65	6.09	0.76	17.74	1.10	4.00	0.57	3.32	0.61	39.65	1.49
213	Electrical and electronic technicians	5: Black	31,406	5.96	2.19	5.05	1.98	5.24	2.10	14.02	3.52	3.25	2.05	4.28	2.19	27.41	4.51
213	Electrical and electronic technicians	6: Other	29,407	1.99	1.15	0.67	0.67	1.99	1.15	14.75	3.96	1.44	1.48	4.31	2.27	15.00	3.21
213	Electrical and electronic technicians	7: Hispanic	20,080	7.19	2.70	3.62	2.04	4.68	2.27	19.66	3.59	1.42	1.41	2.44	1.77	29.83	5.79
213	Electrical and electronic technicians	8: NonHispanic	358,888	7.44	0.79	5.03	0.59	5.76	0.68	17.06	1.05	3.86	0.54	3.54	0.59	37.11	1.37
216	Engineering technicians	1: Total	261,701	9.05	0.87	4.81	0.72	6.80	0.79	23.02	1.37	4.19	0.63	3.50	0.61	39.09	1.54
216	Engineering technicians	2: Male	178,622	8.57	1.08	3.86	0.76	6.48	0.95	19.17	1.58	4.13	0.81	2.97	0.71	37.62	1.80
216	Engineering technicians	3: Female	83,079	10.09	1.65	6.85	1.53	7.50	1.47	31.33	2.55	4.33	1.14	4.66	1.21	42.25	2.76
216	Engineering technicians	4: White	220,821	9.28	0.99	5.32	0.82	7.20	0.91	23.73	1.53	3.92	0.65	2.92	0.58	40.70	1.60
216	Engineering technicians	5: Black	25,470	8.77	3.10	3.28	2.01	5.73	2.43	24.25	4.02	7.43	3.22	6.35	2.80	28.16	4.58
216	Engineering technicians	6: Other	15,410	6.32	3.37	0.00	0.00	2.82	2.00	10.96	3.95	2.79	1.95	7.15	4.54	34.15	6.76
216	Engineering technicians	7: Hispanic	10,812	8.73	4.34	6.45	3.74	8.73	4.34	25.53	7.41	4.10	2.34	4.40	3.17	41.83	8.82
216	Engineering technicians	8: NonHispanic	250,889	9.07	0.92	4.74	0.75	6.72	0.84	22.92	1.42	4.20	0.66	3.47	0.66	38.97	1.59
217	Drafting occs	1: Total	265,437	8.82	0.90	4.95	0.71	5.55	0.71	19.68	1.49	4.17	0.74	3.84	0.55	38.16	1.66
217	Drafting occs	2: Male	213,073	7.96	0.93	4.27	0.76	5.21	0.77	15.58	1.43	3.58	0.74	3.61	0.60	36.66	1.83
217	Drafting occs	3: Female	52,364	12.35	2.63	7.76	1.90	6.92	1.62	36.45	3.54	6.55	2.39	4.74	1.42	44.27	3.55
217	Drafting occs	4: White	243,043	8.37	0.92	4.41	0.70	5.17	0.72	20.01	1.54	4.26	0.78	3.68	0.57	39.32	1.78
217	Drafting occs	5: Black	9,474	11.37	5.56	7.12	4.09	8.81	5.43	17.85	6.30	7.66	4.60	5.85	3.44	19.40	6.20
217	Drafting occs	6: Other	12,920	15.43	5.12	13.62	5.02	10.41	4.24	14.83	6.12	0.00	0.00	5.49	2.96	30.09	6.04
217	Drafting occs	7: Hispanic	19,282	9.43	3.27	7.05	2.85	6.98	2.86	9.64	3.23	7.26	3.88	3.35	1.90	41.87	5.21
217	Drafting occs	8: NonHispanic	246,155	8.78	0.96	4.79	0.73	5.44	0.73	20.44	1.59	3.93	0.73	3.88	0.58	37.87	1.78
226	Airplane pilots and navigators	1: Total	107,936	5.50	1.14	2.07	0.63	3.57	0.90	12.69	1.81	2.09	0.64	1.32	0.62	27.91	2.58
226	Airplane pilots and navigators	2: Male	105,271	5.42	1.12	1.90	0.61	3.66	0.92	12.39	1.84	2.14	0.66	1.12	0.58	27.96	2.64
226	Airplane pilots and navigators	3: Female	2,665	8.70	8.43	8.70	8.43	0.00	0.00	24.91	10.27	0.00	0.00	9.27	9.21	25.94	14.11
226	Airplane pilots and navigators	4: White	105,231	5.30	1.13	2.12	0.64	3.66	0.92	12.53	1.86	1.90	0.61	1.35	0.63	27.55	2.66
226	Airplane pilots and navigators	5: Black	1,735	21.04	18.26	0.00	0.00	0.00	0.00	0.00	0.00	14.52	13.65	0.00	0.00	35.56	20.22
226	Airplane pilots and navigators	6: Other	970	0.00	0.00	0.00	0.00	0.00	0.00	53.28	35.20	0.00	0.00	0.00	0.00	53.28	35.20
226	Airplane pilots and navigators	7: Hispanic	3,245	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	11.22	10.68	6.67	6.66
226	Airplane pilots and navigators	8: NonHispanic	104,691	5.68	1.17	2.14	0.65	3.68	0.92	13.09	1.86	2.15	0.66	1.01	0.53	28.57	2.67
229	Computer programmers	1: Total	515,413	10.11	0.72	5.91	0.53	6.38	0.59	23.70	1.01	3.44	0.44	2.55	0.39	38.65	1.18
229	Computer programmers	2: Male	345,931	8.41	0.88	4.73	0.63	5.15	0.75	17.95	1.22	2.77	0.55	2.69	0.51	37.29	1.41
229	Computer programmers	3: Female	169,482	13.57	1.38	8.31	1.04	8.88	1.15	35.49	2.20	4.81	0.79	2.27	0.64	41.42	2.14
229	Computer programmers	4: White	441,655	10.17	0.83	5.78	0.60	6.53	0.69	24.63	1.17	3.33	0.49	2.68	0.44	40.05	1.30
229	Computer programmers	5: Black	35,443	9.50	2.15	5.84	1.61	4.59	1.47	22.80	2.74	6.32	2.24	0.32	0.32	26.96	3.04
229	Computer programmers	6: Other	38,315	9.92	2.04	7.50	1.97	6.25	1.74	13.84	2.83	2.09	1.20	3.13	1.30	33.34	4.01
229	Computer programmers	7: Hispanic	23,934	8.86	3.14	8.86	3.14	8.86	3.14	23.87	5.14	5.97	2.82	2.00	1.49	33.29	6.15
229	Computer programmers	8: NonHispanic	491,479	10.17	0.75	5.77	0.54	6.26	0.61	23.69	1.02	3.32	0.44	2.58	0.40	38.91	1.24
234	Legal assistants	1: Total	245,025	9.60	0.95	5.61	0.76	6.22	0.82	31.26	1.52	4.14	0.68	3.05	0.68	39.60	1.61
234	Legal assistants	2: Male	51,098	5.53	1.86	3.74	1.37	3.73	1.37	21.59	3.25	4.02	1.26	4.13	1.59	37.83	3.24
234	Legal assistants	3: Female	193,927	10.67	1.13	6.10	0.91	6.88	0.96	33.82	1.72	4.18	0.79	2.77	0.78	40.07	1.93
234	Legal assistants	4: White	218,530	9.86	1.03	5.68	0.84	6.25	0.90	32.93	1.61	4.28	0.75	2.99	0.74	41.03	1.60
234	Legal assistants	5: Black	16,896	7.84	3.12	5.26	2.72	5.54	2.87	24.89	4.84	2.18	1.61	2.93	1.81	33.62	6.16
234	Legal assistants	6: Other	9,598	6.81	4.52	4.65	3.36	6.81	4.52	4.42	3.33	4.42	3.33	4.53	3.04	17.57	7.69
234	Legal assistants	7: Hispanic	15,187	4.85	3.04	4.85	3.04	4.85	3.04	27.71	4.93	9.57	3.22	4.34	2.00	35.92	4.75
234	Legal assistants	8: NonHispanic	229,838	9.92	0.98	5.66	0.74	6.31	0.83	31.50	1.59	3.79	0.69	2.96	0.71	39.85	1.73
235	Technicians	1: Total	462,626	10.00	0.80	5.35	0.59	6.71	0.70	22.74	1.13	4.67	0.52	3.60	0.45	38.97	1.16
235	Technicians	2: Male	323,700	8.84	0.90	4.42	0.63	5.78	0.78	16.89	1.20	4.17	0.58	3.54	0.52	35.52	1.42
235	Technicians	3: Female	138,926	12.71	1.51	7.51	1.25	8.87	1.28	36.37	2.27	5.84	0.99	3.72	0.81	46.99	2.10
235	Technicians	4: White	391,624	10.25	0.81	5.59	0.60	6.83	0.70	23.54	1.21	4.47	0.55	3.26	0.47	41.03	1.26
235	Technicians	5: Black	36,652	10.71	2.83	6.19	2.42	8.20	2.60	25.65	3.58	9.33	2.52	8.00	2.40	33.59	3.42
235	Technicians	6: Other	34,349	6.47	2.40	1.72	1.20	3.77	1.82	10.55	2.51	2.05	1.24	2.68	1.38	21.21	3.95
235	Technicians	7: Hispanic	28,281	5.96	2.98	3.16	2.22	4.15	2.41	22.30	4.88	5.56	2.56	1.72	1.19	25.89	4.94
235	Technicians	8: NonHispanic	434,345	10.27	0.81	5.49	0.59	6.88	0.71	22.77	1.19	4.62	0.53	3.72	0.46	39.82	1.22
243	Supervisors/Proprietors, Sales Occupations	1: Total	3,596,023	6.85	0.22	4.03	0.19	4.40	0.18	19.33	0.37	4.71	0.19	4.66	0.20	35.77	0.47
243	Supervisors/Proprietors, Sales Occupations	2: Male	2,315,820	5.88	0.25	3.45	0.21	3.56	0.20	15.13	0.45	4.54	0.22	4.40	0.23	33.84	0.58
243	Supervisors/Proprietors, Sales Occupations	3: Female	1,280,203	8.61	0.42	5.08	0.35	5.92	0.34	26.94	0.58	5.02	0.33	5.12	0.34	39.26	0.77
243	Supervisors/Proprietors, Sales Occupations	4: White	3,297,445	6.91	0.24	4.07	0.20	4.35	0.20	19.64	0.41	4.89	0.21	4.52	0.21	36.53	0.48
243	Supervisors/Proprietors, Sales Occupations	5: Black	169,165	7.20	0.92	3.64	0.69	5.55	0.76	18.62	1.71	2.75	0.61	6.42	0.84	31.47	2.03
243	Supervisors/Proprietors, Sales Occupations	6: Other	129,414	4.80	1.05	3.40	0.81	4.08	0.90	12.28	1.94	2.81	0.97	5.74	1.31	21.99	1.98
243	Supervisors/Proprietors, Sales Occupations	7: Hispanic	197,592	7.11	0.77	4.10	0.63	4.31	0.57	13.54	1.31	3.89	0.79	4.71	0.78	28.91	1.92
243	Supervisors/Proprietors, Sales Occupations	8: NonHispanic	3,398,432	6.84	0.23	4.02	0.20	4.40	0.20	19.67	0.38	4.76	0.20	4.65	0.21	36.17	0.49
253	Insurance sales occs	1: Total	654,951	8.51	0.63	4.77	0.51	5.48	0.45	22.82	0.85	5.70	0.46	4.45	0.46	38.69	1.02
253	Insurance sales occs	2: Male	422,637	7.11	0.76	3.78	0.60	4.45	0.56	19.16	1.01	5.39	0.57	4.40	0.60	38.39	1.38
253	Insurance sales occs	3: Female	232,314	11.04	1.09	6.58	0.84	7.36	0.79	29.47	1.40	6.27	0.80	4.54	0.68	39.22	1.60
253	Insurance sales occs	4: White	598,754	8.66	0.65	4.74	0.54	5.50	0.48	22.96	0.84	5.87	0.48	4.19	0.46	39.59	1.08
253	Insurance sales occs	5: Black	40,514	7.13	1.98	5.21	1.83	5.47	1.81	17.16	2.86	3.79	1.36	6.78	1.90	28.40	3.46
253	Insurance sales occs	6: Other	15,683	6.08	3.24	4.78	2.91	4.78	2.91	32.00	7.02	4.21	3.10	8.42	4.20	30.64	6.49
253	Insurance sales occs	7: Hispanic	30,301	11.36	3.04	8.14	2.78	8.08	2.37	24.40	3.84	6.77	2.45	2.77	1.38	37.18	5.10
253	Insurance sales occs	8: NonHispanic	624,650	8.37	0.66	4.61	0.54	5.36	0.47	22.74	0.88	5.65	0.45	4.53	0.47	38.76	1.05
254	Real estate sales occs	1: Total	788,281	7.55	0.49	3.76	0.41	4.41	0.38	23.14	0.81	4.74	0.40	5.22	0.46	41.60	0.94
254	Real estate sales occs	2: Male	401,798	6.94	0.67	3.40	0.49	4.19	0.52	19.87	1.08	4.85	0.51	5.32	0.59	40.87	1.31
254	Real estate sales occs	3: Female	386,483	8.18	0.80	4.14	0.62	4.64	0.62	26.54	1.34	4.62	0.56	5.12	0.65	42.37	1.45
254	Real estate sales occs	4: White	740,931	7.78	0.50	3.93	0.42	4.59	0.39	23.63	0.79	4.97	0.42	5.15	0.49	42.56	0.94
254	Real estate sales occs	5: Black	24,062	3.64	1.55	2.35	1.36	3.22	1.52	17.09	3.77	2.16	1.29	4.61	2.35	27.64	5.77
254	Real estate sales occs	6: Other	23,288	4.14	2.72	0.00	0.00	0.00	0.00	13.67	3.39	0.00	0.00	7.95	2.56	25.62	5.12
254	Real estate sales occs	7: Hispanic	32,809	5.22	2.13	2.79	1.27	2.79	1.27	20.77	3.49	3.41	1.50	5.43	2.26	34.83	4.73
254	Real estate sales occs	8: NonHispanic	755,472	7.65	0.50	3.80	0.41	4.48	0.39	23.24	0.81	4.80	0.41	5.21	0.47	41.90	0.93
255	Securities and financial services sales occs	1: Total	288,542	7.99	0.80	4.27	0.61	5.52	0.64	22.62	1.45	5.28	0.69	2.44	0.50	35.15	1.35
255	Securities and financial services sales occs	2: Male	211,164	6.53	0.88	3.20	0.61	4.25	0.73	19.41	1.50	5.16	0.76	2.42	0.52	34.02	1.79
255	Securities and financial services sales occs	3: Female	77,378	11.97	1.58	7.18	1.31	8.99	1.29	31.41	3.08	5.60	1.41	2.50	0.88	38.21	2.37
255	Securities and financial services sales occs	4: White	265,488	7.98	0.80	4.40	0.64	5.78	0.68	23.13	1.45	5.62	0.73	2.50	0.53	36.01	1.36
255	Securities and financial services sales occs	5: Black	15,184	8.27	2.91	4.25	2.03	3.89	1.63	16.28	3.86	1.94	1.86	1.19	1.21	27.80	4.84
255	Securities and financial services sales occs	6: Other	7,870	8.03	3.70	0.00	0.00	0.00	0.00	17.71	6.56	0.00	0.00	2.93	3.03	20.14	7.75
255	Securities and financial services sales occs	7: Hispanic	7,195	8.92	6.16	3.11	3.06	0.00	0.00	13.44	8.59	3.77	3.72	0.00	0.00	15.69	9.37
255	Securities and financial services sales occs	8: NonHispanic	281,347	7.97	0.81	4.30	0.62	5.66	0.66	22.86	1.47	5.32	0.70	2.50	0.51	35.64	1.45
256	Advertising and related sales occs	1: Total	142,145	9.84	1.42	7.51	1.20	7.86	1.26	26.54	2.20	3.78	0.81	3.17	0.71	39.23	2.41
256	Advertising and related sales occs	2: Male	71,964	8.12	2.21	5.75	1.87	5.95	1.94	21.59	2.93	3.55	1.19	3.56	1.05	41.76	3.48
256	Advertising and related sales occs	3: Female	70,181	11.60	2.02	9.31	1.83	9.81	1.93	31.57	2.91	4.01	1.23	2.77	0.97	36.64	3.01
256	Advertising and related sales occs	4: White	133,280	10.13	1.48	7.82	1.27	8.02	1.30	27.25	2.32	4.03	0.87	3.21	0.73	40.47	2.47
256	Advertising and related sales occs	5: Black	6,644	7.25	4.89	3.66	3.57	7.25	4.89	15.32	6.54	0.00	0.00	3.35	3.30	16.91	7.75
256	Advertising and related sales occs	6: Other	2,222	0.00	0.00	0.00	0.00	0.00	0.00	18.29	12.39	0.00	0.00	0.00	0.00	31.23	12.36
256	Advertising and related sales occs	7: Hispanic	4,887	8.81	5.95	4.21	4.14	8.81	5.95	20.67	9.88	0.00	0.00	5.16	5.34	38.32	10.34
256	Advertising and related sales occs	8: NonHispanic	137,258	9.88	1.44	7.62	1.21	7.82	1.27	26.74	2.14	3.91	0.83	3.10	0.73	39.26	2.44
257	Sales occs, other business services	1: Total	393,028	9.11	0.78	5.60	0.66	6.68	0.68	22.44	1.21	5.04	0.58	4.53	0.61	37.45	1.21
257	Sales occs, other business services	2: Male	252,718	7.96	1.01	4.64	0.84	6.19	0.99	16.64	1.21	5.56	0.82	4.53	0.79	35.61	1.53
257	Sales occs, other business services	3: Female	140,309	11.19	1.37	7.31	1.14	7.56	1.11	32.90	2.27	4.08	0.76	4.53	0.90	40.77	2.13
257	Sales occs, other business services	4: White	364,858	8.97	0.80	5.56	0.72	6.42	0.70	22.16	1.21	5.15	0.64	4.37	0.64	37.62	1.26
257	Sales occs, other business services	5: Black	19,777	12.97	4.09	7.33	2.77	12.97	4.09	23.13	5.35	4.02	1.59	5.93	2.47	38.74	5.77
257	Sales occs, other business services	6: Other	8,392	6.08	4.31	2.98	2.98	2.98	2.98	33.18	10.67	2.56	2.46	8.35	4.92	27.07	7.00
257	Sales occs, other business services	7: Hispanic	20,971	13.18	4.40	8.55	3.13	9.95	3.46	15.67	4.55	6.72	3.09	4.19	2.27	37.65	5.64
257	Sales occs, other business services	8: NonHispanic	372,057	8.88	0.80	5.43	0.68	6.49	0.69	22.83	1.17	4.94	0.57	4.55	0.63	37.44	1.22
259	Sales reps, mining/manufact/wholesale	1: Total	1,305,211	6.94	0.43	3.66	0.29	4.36	0.31	20.11	0.68	4.65	0.31	3.34	0.26	36.94	0.69
259	Sales reps, mining/manufact/wholesale	2: Male	1,004,909	6.10	0.42	3.04	0.30	3.81	0.31	17.09	0.78	4.37	0.37	3.13	0.28	35.75	0.76
259	Sales reps, mining/manufact/wholesale	3: Female	300,302	9.79	0.90	5.74	0.72	6.18	0.72	30.19	1.36	5.60	0.68	4.06	0.61	40.90	1.50
259	Sales reps, mining/manufact/wholesale	4: White	1,240,419	7.00	0.44	3.63	0.30	4.38	0.33	20.24	0.68	4.71	0.32	3.22	0.26	37.39	0.69
259	Sales reps, mining/manufact/wholesale	5: Black	39,789	7.92	2.23	5.94	1.82	5.39	1.91	16.12	3.06	5.26	1.90	6.90	2.15	30.65	3.76
259	Sales reps, mining/manufact/wholesale	6: Other	25,003	2.62	1.69	1.68	1.53	1.68	1.53	19.60	4.24	1.09	1.09	3.74	1.81	24.70	4.13
259	Sales reps, mining/manufact/wholesale	7: Hispanic	58,984	10.59	1.84	7.25	1.80	6.92	1.44	16.91	2.55	4.19	1.45	6.47	1.33	29.21	3.23
259	Sales reps, mining/manufact/wholesale	8: NonHispanic	1,246,227	6.77	0.43	3.49	0.28	4.24	0.31	20.26	0.68	4.68	0.32	3.20	0.26	37.30	0.70
263	Sales workers, motor vehicles and boats	1: Total	255,606	7.08	0.90	3.17	0.62	4.90	0.78	16.20	1.25	7.64	0.95	6.79	0.88	33.92	1.58
263	Sales workers, motor vehicles and boats	2: Male	241,931	6.66	0.89	2.64	0.59	4.43	0.75	15.98	1.32	7.53	0.99	6.91	0.92	33.16	1.60
263	Sales workers, motor vehicles and boats	3: Female	13,676	14.51	4.73	12.53	4.40	13.08	4.73	20.14	5.15	9.64	3.78	4.65	3.34	47.38	6.33
263	Sales workers, motor vehicles and boats	4: White	240,349	7.07	0.93	3.03	0.63	4.84	0.80	16.76	1.33	7.81	0.98	6.75	0.91	34.76	1.64
263	Sales workers, motor vehicles and boats	5: Black	11,496	1.70	1.73	1.70	1.73	0.00	0.00	7.89	3.76	6.56	3.57	2.50	2.47	17.57	5.91
263	Sales workers, motor vehicles and boats	6: Other	3,761	23.84	9.63	16.81	10.93	23.84	9.63	5.89	5.53	0.00	0.00	22.74	11.80	30.39	10.27
263	Sales workers, motor vehicles and boats	7: Hispanic	14,878	5.88	3.30	1.48	1.39	3.07	2.03	10.81	4.77	1.37	1.36	3.01	2.17	16.61	4.64
263	Sales workers, motor vehicles and boats	8: NonHispanic	240,729	7.15	0.96	3.27	0.67	5.01	0.82	16.54	1.28	8.03	1.00	7.02	0.93	34.99	1.61
264	Sales workers, apparel	1: Total	296,930	8.28	0.94	5.50	0.77	5.53	0.78	21.83	1.26	3.83	0.60	5.40	0.75	33.87	1.66
264	Sales workers, apparel	2: Male	53,627	3.37	1.32	2.55	1.19	2.55	1.19	13.01	2.35	3.91	1.44	2.63	0.99	26.14	3.55
264	Sales workers, apparel	3: Female	243,303	9.37	1.09	6.14	0.86	6.18	0.90	23.78	1.44	3.81	0.65	6.01	0.90	35.58	1.92
264	Sales workers, apparel	4: White	258,828	8.22	0.98	5.27	0.78	5.41	0.83	22.33	1.39	3.96	0.69	4.66	0.72	34.69	1.75
264	Sales workers, apparel	5: Black	27,636	8.72	2.90	6.36	2.57	6.25	2.45	16.89	4.14	4.07	1.90	12.56	4.38	30.69	4.70
264	Sales workers, apparel	6: Other	10,465	8.81	5.21	8.81	5.21	6.54	4.73	22.46	7.89	0.00	0.00	4.67	2.76	21.99	8.60
264	Sales workers, apparel	7: Hispanic	32,386	10.41	3.29	4.07	1.74	7.58	2.51	21.12	3.66	4.09	1.80	6.85	2.34	27.63	4.12
264	Sales workers, apparel	8: NonHispanic	264,544	8.02	0.98	5.67	0.85	5.27	0.83	21.92	1.29	3.80	0.62	5.23	0.81	34.64	1.81
266	Sales workers, furniture and home furnishings	1: Total	105,818	6.89	1.54	3.64	1.02	5.09	1.15	22.16	2.52	6.95	1.63	4.85	1.08	39.53	2.62
266	Sales workers, furniture and home furnishings	2: Male	54,694	9.33	2.60	3.93	1.50	6.61	1.85	18.04	2.95	7.50	2.30	6.09	1.56	39.21	3.54
266	Sales workers, furniture and home furnishings	3: Female	51,124	4.27	1.56	3.34	1.41	3.45	1.33	26.57	3.53	6.36	2.23	3.52	1.42	39.88	4.05
266	Sales workers, furniture and home furnishings	4: White	99,018	6.09	1.58	3.16	0.98	4.16	1.12	22.35	2.63	7.42	1.74	4.46	1.03	38.72	2.69
266	Sales workers, furniture and home furnishings	5: Black	4,966	20.86	10.97	14.61	9.67	20.86	10.97	17.61	9.41	0.00	0.00	6.07	5.85	51.88	11.52
266	Sales workers, furniture and home furnishings	6: Other	1,833	12.22	10.01	0.00	0.00	12.22	10.01	24.17	19.80	0.00	0.00	23.05	12.60	49.74	15.53
266	Sales workers, furniture and home furnishings	7: Hispanic	7,845	10.05	5.90	0.00	0.00	10.05	5.90	17.19	7.25	5.18	4.92	6.34	4.47	22.04	8.31
266	Sales workers, furniture and home furnishings	8: NonHispanic	97,973	6.63	1.61	3.93	1.11	4.69	1.17	22.56	2.62	7.09	1.70	4.73	1.17	40.93	2.78
267	Sales workers, radio, TV, hi-fi and appliances	1: Total	119,117	9.85	1.53	3.72	0.92	5.91	1.17	16.77	1.77	4.39	1.01	3.61	0.89	33.60	2.28
267	Sales workers, radio, TV, hi-fi and appliances	2: Male	91,775	7.43	1.51	2.50	0.79	4.70	1.16	13.37	1.82	3.66	1.03	3.59	1.02	32.10	2.68
267	Sales workers, radio, TV, hi-fi and appliances	3: Female	27,342	17.95	4.40	7.82	2.95	9.96	3.33	28.15	4.58	6.82	2.69	3.68	1.95	38.63	4.90
267	Sales workers, radio, TV, hi-fi and appliances	4: White	107,942	9.93	1.66	4.11	1.02	5.82	1.23	17.03	1.93	4.84	1.11	3.14	0.91	35.11	2.56
267	Sales workers, radio, TV, hi-fi and appliances	5: Black	6,979	7.80	4.50	0.00	0.00	4.25	2.98	23.05	8.28	0.00	0.00	10.07	6.34	30.35	9.16
267	Sales workers, radio, TV, hi-fi and appliances	6: Other	4,196	10.99	10.12	0.00	0.00	10.99	10.12	0.00	0.00	0.00	0.00	5.01	5.05	0.00	0.00
267	Sales workers, radio, TV, hi-fi and appliances	7: Hispanic	6,412	13.63	8.02	3.60	3.41	10.47	7.36	9.27	6.71	0.00	0.00	0.00	0.00	25.41	8.11
267	Sales workers, radio, TV, hi-fi and appliances	8: NonHispanic	112,705	9.63	1.59	3.73	0.96	5.65	1.17	17.20	1.83	4.63	1.07	3.82	0.94	34.06	2.35
268	Sales workers, hardware and building supplies	1: Total	116,569	6.36	1.49	3.53	0.85	4.56	1.17	17.04	1.86	6.12	1.17	5.70	1.19	32.76	2.54
268	Sales workers, hardware and building supplies	2: Male	92,969	7.50	1.82	3.96	1.05	5.72	1.45	16.97	2.11	7.02	1.43	6.26	1.44	32.74	2.89
268	Sales workers, hardware and building supplies	3: Female	23,600	1.87	1.28	1.87	1.28	0.00	0.00	17.30	3.98	2.58	1.47	3.51	1.76	32.82	5.13
268	Sales workers, hardware and building supplies	4: White	112,288	6.60	1.54	3.67	0.88	4.74	1.21	17.21	1.90	6.17	1.20	5.34	1.19	33.28	2.56
268	Sales workers, hardware and building supplies	5: Black	2,839	0.00	0.00	0.00	0.00	0.00	0.00	19.14	12.79	7.35	7.17	22.68	12.17	28.61	14.63
268	Sales workers, hardware and building supplies	6: Other	1,442	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00
268	Sales workers, hardware and building supplies	7: Hispanic	3,475	13.82	7.86	7.51	7.40	0.00	0.00	19.81	9.57	0.00	0.00	13.29	8.72	25.62	10.58
268	Sales workers, hardware and building supplies	8: NonHispanic	113,094	6.13	1.50	3.41	0.84	4.70	1.20	16.96	1.93	6.31	1.20	5.46	1.22	32.98	2.55
269	Sales workers, parts	1: Total	138,870	6.17	1.27	3.06	0.83	5.02	1.13	14.54	1.85	3.91	0.89	3.60	0.98	29.11	2.04
269	Sales workers, parts	2: Male	125,177	6.52	1.41	3.40	0.92	5.25	1.26	12.24	1.80	4.24	0.98	3.28	0.88	29.54	2.13
269	Sales workers, parts	3: Female	13,693	2.94	2.90	0.00	0.00	2.94	2.90	35.60	7.60	0.86	0.85	6.50	6.18	25.12	7.79
269	Sales workers, parts	4: White	129,759	6.00	1.27	2.68	0.74	5.00	1.16	14.68	1.89	4.02	0.94	3.70	1.05	29.76	2.12
269	Sales workers, parts	5: Black	7,235	10.81	7.62	10.81	7.62	6.78	6.68	12.86	7.84	2.82	2.84	2.82	2.84	24.87	9.33
269	Sales workers, parts	6: Other	1,876	0.00	0.00	0.00	0.00	0.00	0.00	11.24	10.90	0.00	0.00	0.00	0.00	0.00	0.00
269	Sales workers, parts	7: Hispanic	8,300	3.45	3.45	3.45	3.45	3.45	3.45	1.42	1.42	1.42	1.42	0.00	0.00	11.59	6.46
269	Sales workers, parts	8: NonHispanic	130,569	6.34	1.33	3.04	0.86	5.12	1.18	15.38	1.97	4.06	0.95	3.83	1.05	30.22	2.12
274	Sales workers, other commodities	1: Total	2,118,672	8.54	0.33	5.06	0.28	5.87	0.29	22.06	0.52	4.77	0.27	5.80	0.30	36.68	0.52
274	Sales workers, other commodities	2: Male	764,573	7.41	0.48	4.15	0.40	4.85	0.37	15.44	0.61	4.65	0.40	4.74	0.42	34.24	0.91
274	Sales workers, other commodities	3: Female	1,354,099	9.18	0.44	5.58	0.36	6.45	0.40	25.79	0.70	4.83	0.35	6.40	0.43	38.06	0.71
274	Sales workers, other commodities	4: White	1,900,230	8.70	0.36	5.11	0.31	5.99	0.32	22.63	0.55	4.82	0.30	5.55	0.29	37.44	0.57
274	Sales workers, other commodities	5: Black	142,383	6.95	1.12	4.53	0.82	5.20	0.87	17.46	1.69	5.02	1.07	7.63	1.19	30.93	1.96
274	Sales workers, other commodities	6: Other	76,059	7.50	1.85	4.86	1.86	4.34	1.11	16.27	2.57	3.00	0.99	8.50	2.43	28.64	2.49
274	Sales workers, other commodities	7: Hispanic	137,695	10.10	1.52	6.23	0.98	6.35	1.07	21.36	1.95	4.99	0.92	9.30	1.46	32.63	2.19
274	Sales workers, other commodities	8: NonHispanic	1,980,977	8.43	0.35	4.98	0.30	5.84	0.31	22.10	0.56	4.75	0.29	5.55	0.29	36.97	0.55
275	Sales counter clerks	1: Total	182,795	7.55	0.99	4.73	0.83	5.16	0.82	19.95	1.57	4.25	0.82	6.00	0.93	32.20	1.97
275	Sales counter clerks	2: Male	62,397	6.86	1.61	3.94	1.18	4.58	1.23	14.22	2.30	5.04	1.45	4.36	1.30	30.90	3.26
275	Sales counter clerks	3: Female	120,397	7.90	1.32	5.14	1.10	5.47	1.09	22.93	2.01	3.84	0.93	6.86	1.14	32.87	2.43
275	Sales counter clerks	4: White	145,649	7.78	1.22	5.21	1.02	5.59	1.00	22.68	1.89	5.05	1.04	5.74	0.94	34.41	2.22
275	Sales counter clerks	5: Black	18,053	10.95	3.26	4.52	2.17	5.91	2.55	8.95	2.71	1.02	0.75	7.64	3.11	31.57	5.50
275	Sales counter clerks	6: Other	19,093	2.52	1.75	1.22	1.23	1.22	1.23	9.60	3.22	1.22	1.23	6.52	2.89	15.95	3.91
275	Sales counter clerks	7: Hispanic	17,033	5.34	2.61	2.77	1.92	2.77	1.92	24.83	7.38	6.55	3.28	5.46	3.15	21.75	5.54
275	Sales counter clerks	8: NonHispanic	165,762	7.77	1.05	4.93	0.87	5.41	0.88	19.45	1.54	4.02	0.83	6.06	0.97	33.28	2.11
276	Cashiers	1: Total	2,043,195	9.79	0.39	5.59	0.31	7.15	0.32	24.58	0.53	5.13	0.27	7.59	0.28	36.17	0.58
276	Cashiers	2: Male	361,042	7.82	0.78	4.41	0.55	4.85	0.59	13.80	0.96	4.58	0.59	6.62	0.74	31.37	1.20
276	Cashiers	3: Female	1,682,152	10.21	0.41	5.85	0.34	7.65	0.36	26.89	0.58	5.24	0.30	7.80	0.29	37.20	0.65
276	Cashiers	4: White	1,619,868	10.04	0.41	5.70	0.35	7.27	0.33	25.43	0.61	5.37	0.31	7.38	0.31	37.93	0.66
276	Cashiers	5: Black	312,261	10.33	1.00	5.93	0.75	8.07	0.94	22.49	1.19	4.54	0.58	8.98	0.81	31.51	1.45
276	Cashiers	6: Other	111,066	4.52	1.22	3.10	1.05	2.98	1.00	17.96	1.91	3.21	0.96	6.70	1.42	23.50	2.13
276	Cashiers	7: Hispanic	187,024	9.15	1.35	5.81	1.07	6.88	1.08	21.06	1.97	3.50	0.70	8.70	0.93	26.34	1.96
276	Cashiers	8: NonHispanic	1,856,171	9.85	0.39	5.57	0.32	7.18	0.32	24.93	0.56	5.29	0.29	7.48	0.29	37.16	0.62
277	Street and door-to-door sales workers	1: Total	276,408	12.09	1.00	7.16	0.79	6.68	0.84	29.96	1.75	5.53	0.72	8.30	0.93	46.45	1.75
277	Street and door-to-door sales workers	2: Male	68,964	5.78	1.43	2.83	1.11	3.56	1.25	18.27	2.67	4.34	1.19	7.30	1.97	35.15	3.16
277	Street and door-to-door sales workers	3: Female	207,444	14.19	1.22	8.60	0.97	7.71	1.02	33.86	1.97	5.92	0.81	8.64	1.02	50.21	1.87
277	Street and door-to-door sales workers	4: White	251,242	12.04	1.05	7.19	0.86	6.75	0.89	30.70	1.87	5.43	0.77	7.91	0.95	47.37	1.94
277	Street and door-to-door sales workers	5: Black	21,783	13.57	4.02	7.87	3.43	5.78	2.47	21.34	4.70	5.49	2.48	11.57	4.09	34.16	4.98
277	Street and door-to-door sales workers	6: Other	3,383	6.57	6.62	0.00	0.00	6.57	6.62	30.76	14.66	12.50	8.31	16.36	8.79	57.83	11.16
277	Street and door-to-door sales workers	7: Hispanic	18,747	7.59	2.51	3.83	1.76	5.05	2.00	27.90	6.89	6.01	2.87	17.40	4.62	34.86	6.58
277	Street and door-to-door sales workers	8: NonHispanic	257,661	12.42	1.05	7.40	0.84	6.79	0.89	30.11	1.75	5.49	0.71	7.64	0.89	47.30	1.68
303	Supervisors, general office	1: Total	456,019	9.82	0.71	5.79	0.53	6.91	0.64	26.84	1.13	5.86	0.58	5.41	0.57	41.46	1.44
303	Supervisors, general office	2: Male	127,692	8.62	1.33	4.41	0.96	4.10	1.03	20.97	1.96	4.91	0.98	3.43	0.70	40.09	2.50
303	Supervisors, general office	3: Female	328,327	10.29	0.90	6.33	0.73	8.01	0.81	29.13	1.30	6.23	0.66	6.18	0.72	42.00	1.63
303	Supervisors, general office	4: White	393,770	9.64	0.72	5.68	0.54	6.78	0.65	26.38	1.19	5.71	0.59	5.35	0.61	42.05	1.55
303	Supervisors, general office	5: Black	47,377	9.12	2.30	7.02	2.29	7.79	2.32	29.90	3.11	7.63	1.57	6.63	1.58	37.13	3.82
303	Supervisors, general office	6: Other	14,872	16.72	6.38	4.92	3.02	7.75	4.13	29.28	6.12	4.32	4.29	2.96	2.15	39.61	7.21
303	Supervisors, general office	7: Hispanic	26,940	6.08	2.34	4.48	2.12	5.26	1.95	28.56	4.82	3.21	1.59	4.14	1.84	37.15	4.65
303	Supervisors, general office	8: NonHispanic	429,079	10.06	0.72	5.88	0.55	7.02	0.67	26.74	1.18	6.03	0.60	5.49	0.59	41.73	1.48
307	Supervisors, distribution, scheduling, and adjusting clerks	1: Total	177,953	6.63	0.91	3.78	0.75	5.10	0.82	20.93	1.66	4.27	0.84	4.67	0.87	33.35	1.78
307	Supervisors, distribution, scheduling, and adjusting clerks	2: Male	119,950	5.52	1.07	3.79	0.92	3.96	0.91	18.54	1.97	3.97	1.12	4.21	1.01	30.39	2.18
307	Supervisors, distribution, scheduling, and adjusting clerks	3: Female	58,003	8.92	2.07	3.76	1.31	7.45	1.94	25.87	3.06	4.88	1.32	5.63	1.58	39.46	3.14
307	Supervisors, distribution, scheduling, and adjusting clerks	4: White	145,138	6.21	0.98	3.20	0.77	4.85	0.86	21.49	1.97	4.79	0.99	3.39	0.78	33.94	1.99
307	Supervisors, distribution, scheduling, and adjusting clerks	5: Black	28,601	8.10	2.93	5.62	2.44	5.49	2.30	15.51	3.35	2.26	1.21	11.08	3.35	32.17	4.31
307	Supervisors, distribution, scheduling, and adjusting clerks	6: Other	4,214	11.01	7.52	11.01	7.52	11.01	7.52	38.34	9.08	0.00	0.00	5.28	5.43	20.90	10.35
307	Supervisors, distribution, scheduling, and adjusting clerks	7: Hispanic	12,491	2.49	2.65	0.00	0.00	2.49	2.65	21.08	10.06	2.15	2.01	11.08	5.79	28.75	7.20
307	Supervisors, distribution, scheduling, and adjusting clerks	8: NonHispanic	165,462	6.94	0.99	4.06	0.80	5.29	0.90	20.92	1.57	4.43	0.89	4.19	0.83	33.70	1.96
308	Computer operators	1: Total	659,841	9.79	0.52	5.88	0.45	7.27	0.50	24.64	0.91	5.59	0.59	4.65	0.43	37.59	1.07
308	Computer operators	2: Male	234,917	8.94	0.98	4.97	0.77	6.50	0.86	16.99	1.39	4.67	0.77	3.91	0.67	36.46	1.90
308	Computer operators	3: Female	424,925	10.26	0.71	6.39	0.63	7.70	0.64	28.88	1.05	6.11	0.77	5.06	0.50	38.21	1.15
308	Computer operators	4: White	543,263	9.53	0.61	5.51	0.52	6.89	0.56	25.16	1.08	5.53	0.61	4.68	0.50	38.73	1.24
308	Computer operators	5: Black	92,859	11.43	1.68	7.47	1.19	9.18	1.72	22.33	2.16	6.09	1.17	5.18	1.14	33.88	2.59
308	Computer operators	6: Other	23,719	9.33	3.77	8.33	3.63	8.48	3.66	21.71	4.19	5.21	2.52	1.73	1.14	25.91	5.12
308	Computer operators	7: Hispanic	42,368	6.02	2.00	1.90	0.94	4.90	1.83	18.33	3.06	5.62	2.60	2.76	1.26	22.66	3.69
308	Computer operators	8: NonHispanic	617,473	10.05	0.55	6.16	0.48	7.43	0.53	25.08	0.93	5.59	0.54	4.78	0.45	38.61	1.10
313	Secretaries	1: Total	3,828,302	10.02	0.30	6.16	0.22	7.27	0.25	28.57	0.45	5.24	0.21	3.96	0.15	39.58	0.49
313	Secretaries	2: Male	46,281	6.63	1.80	3.98	1.31	4.58	1.42	25.34	3.53	4.29	1.35	6.64	1.81	40.64	3.24
313	Secretaries	3: Female	3,782,021	10.06	0.31	6.18	0.22	7.31	0.26	28.61	0.45	5.26	0.21	3.92	0.15	39.56	0.49
313	Secretaries	4: White	3,453,562	9.91	0.32	5.98	0.23	7.16	0.27	29.05	0.48	5.29	0.22	3.75	0.17	40.05	0.52
313	Secretaries	5: Black	290,884	11.67	0.92	8.13	0.75	8.78	0.75	24.26	1.13	5.56	0.74	6.19	1.00	36.36	1.54
313	Secretaries	6: Other	83,856	8.94	1.50	6.72	1.19	6.63	1.16	23.96	2.56	2.07	0.75	4.75	1.26	31.13	2.37
313	Secretaries	7: Hispanic	229,081	8.08	0.94	5.50	0.74	6.18	0.71	23.55	1.24	5.43	0.73	4.21	0.71	32.02	1.78
313	Secretaries	8: NonHispanic	3,599,220	10.14	0.31	6.20	0.23	7.34	0.27	28.89	0.48	5.23	0.22	3.94	0.16	40.06	0.51
315	Typists	1: Total	515,090	10.75	0.73	6.00	0.57	7.65	0.68	30.18	1.09	4.68	0.48	4.68	0.47	40.22	1.10
315	Typists	2: Male	28,810	8.85	2.87	6.23	2.68	7.04	2.66	16.17	3.61	4.69	2.14	6.52	2.33	35.41	4.53
315	Typists	3: Female	486,281	10.86	0.74	5.99	0.57	7.68	0.69	31.01	1.10	4.68	0.51	4.57	0.49	40.50	1.16
315	Typists	4: White	407,125	10.47	0.85	5.69	0.66	7.60	0.81	31.53	1.20	4.48	0.57	4.73	0.57	41.89	1.27
315	Typists	5: Black	88,156	11.62	1.67	7.32	1.27	7.52	1.38	25.02	2.28	5.96	1.12	4.29	0.87	34.35	2.74
315	Typists	6: Other	19,809	12.69	2.39	6.66	2.09	9.17	1.83	25.15	4.63	3.17	1.87	5.48	3.02	31.88	5.93
315	Typists	7: Hispanic	36,679	9.27	2.85	4.35	1.69	8.69	2.99	27.42	3.78	1.17	0.75	7.50	2.50	37.68	4.78
315	Typists	8: NonHispanic	478,411	10.86	0.78	6.13	0.59	7.57	0.71	30.39	1.16	4.95	0.53	4.47	0.46	40.41	1.14
316	Interviewers	1: Total	146,720	8.87	1.30	5.86	1.01	6.27	1.06	30.57	1.99	6.48	1.14	5.15	0.95	42.16	2.24
316	Interviewers	2: Male	18,133	6.53	2.79	5.28	2.52	3.80	2.09	20.90	5.13	4.20	2.39	5.63	2.43	37.78	5.96
316	Interviewers	3: Female	128,587	9.20	1.45	5.94	1.11	6.62	1.20	31.94	2.25	6.80	1.28	5.09	1.01	42.78	2.31
316	Interviewers	4: White	126,116	8.34	1.38	5.63	1.07	6.12	1.16	32.09	2.22	6.46	1.25	4.14	0.85	43.47	2.45
316	Interviewers	5: Black	18,343	10.51	3.72	5.09	2.29	6.86	3.41	17.61	4.85	7.40	3.27	10.91	3.75	35.29	5.51
316	Interviewers	6: Other	2,261	25.05	15.53	25.05	15.53	9.52	9.18	49.50	14.44	0.00	0.00	15.53	13.97	25.05	15.53
316	Interviewers	7: Hispanic	9,918	8.82	4.26	4.24	2.97	7.37	4.14	23.95	7.34	0.00	0.00	5.99	3.52	35.45	8.40
316	Interviewers	8: NonHispanic	136,801	8.87	1.29	5.98	1.07	6.19	1.07	31.05	2.11	6.95	1.22	5.09	1.00	42.65	2.26
318	Transportation ticket and reservation agents	1: Total	164,670	6.93	1.13	3.94	0.81	5.55	1.02	27.08	1.63	4.32	0.75	3.59	0.81	33.12	1.92
318	Transportation ticket and reservation agents	2: Male	56,559	4.07	1.36	2.43	1.04	2.81	1.21	18.48	2.60	3.35	1.22	1.25	0.74	27.33	3.00
318	Transportation ticket and reservation agents	3: Female	108,111	8.42	1.53	4.73	1.16	6.98	1.39	31.56	2.34	4.82	1.09	4.80	1.14	36.15	2.51
318	Transportation ticket and reservation agents	4: White	138,098	7.35	1.33	3.97	0.90	5.89	1.17	27.97	1.74	4.87	0.88	3.82	0.90	34.92	2.10
318	Transportation ticket and reservation agents	5: Black	18,274	3.08	1.65	1.74	1.28	1.74	1.28	20.74	5.60	2.13	1.33	3.42	1.85	27.15	5.16
318	Transportation ticket and reservation agents	6: Other	8,299	8.31	4.27	8.31	4.27	8.31	4.27	26.30	10.94	0.00	0.00	0.00	0.00	16.33	6.24
318	Transportation ticket and reservation agents	7: Hispanic	13,923	14.39	5.00	7.88	4.19	9.54	4.28	22.36	5.96	3.33	2.25	0.00	0.00	33.27	7.30
318	Transportation ticket and reservation agents	8: NonHispanic	150,747	6.24	1.10	3.58	0.82	5.18	1.01	27.52	1.59	4.41	0.80	3.92	0.87	33.11	2.00
319	Receptionists	1: Total	747,566	10.56	0.61	6.40	0.48	7.64	0.55	30.66	1.04	5.61	0.42	5.72	0.47	40.53	1.01
319	Receptionists	2: Male	26,737	10.16	3.07	7.63	2.80	6.00	2.26	25.11	4.19	5.09	2.44	6.25	2.67	31.64	4.57
319	Receptionists	3: Female	720,830	10.58	0.62	6.36	0.49	7.70	0.57	30.87	1.08	5.63	0.44	5.70	0.46	40.86	1.01
319	Receptionists	4: White	671,925	10.54	0.65	6.34	0.52	7.45	0.59	30.96	1.09	5.42	0.45	5.32	0.48	41.29	1.06
319	Receptionists	5: Black	57,688	11.92	1.94	7.67	1.49	10.77	1.85	28.96	2.61	8.13	1.58	9.41	1.60	33.98	3.00
319	Receptionists	6: Other	17,953	7.21	2.84	4.88	2.47	4.92	2.54	25.21	4.66	4.74	2.77	8.68	2.63	32.81	5.30
319	Receptionists	7: Hispanic	70,963	11.60	2.26	9.24	2.00	10.33	2.11	30.73	2.72	5.49	1.44	6.51	1.72	35.74	3.98
319	Receptionists	8: NonHispanic	676,603	10.45	0.63	6.11	0.49	7.36	0.54	30.66	1.11	5.62	0.45	5.63	0.47	41.03	1.04
327	Order clerks	1: Total	183,515	10.12	1.21	5.85	0.84	6.95	1.04	30.37	1.97	7.11	1.05	7.10	1.15	38.53	1.95
327	Order clerks	2: Male	48,147	7.88	2.31	4.22	1.52	3.36	1.42	21.62	3.04	5.31	1.55	8.10	2.37	36.37	3.80
327	Order clerks	3: Female	135,368	10.91	1.40	6.43	1.02	8.23	1.22	33.51	2.36	7.76	1.33	6.75	1.31	39.29	2.30
327	Order clerks	4: White	153,766	10.83	1.32	6.10	0.90	7.48	1.18	30.91	2.14	6.96	1.09	7.24	1.26	38.27	2.06
327	Order clerks	5: Black	25,840	7.39	2.95	5.27	2.57	4.86	2.55	30.15	4.65	9.09	3.99	7.32	2.69	45.04	5.01
327	Order clerks	6: Other	3,910	0.00	0.00	0.00	0.00	0.00	0.00	10.69	10.09	0.00	0.00	0.00	0.00	5.61	5.30
327	Order clerks	7: Hispanic	14,429	9.49	4.63	7.89	4.61	3.03	2.19	29.03	6.10	11.72	6.03	10.02	4.73	40.30	7.15
327	Order clerks	8: NonHispanic	169,086	10.17	1.24	5.68	0.87	7.29	1.11	30.49	2.02	6.72	1.08	6.85	1.16	38.38	1.89
329	Library clerks	1: Total	125,725	10.43	1.48	6.50	1.24	6.53	1.14	26.32	2.18	2.88	0.82	3.46	0.93	43.15	2.51
329	Library clerks	2: Male	27,366	10.71	3.18	7.18	2.68	5.80	2.25	18.55	4.46	0.78	0.78	3.56	1.92	41.95	5.40
329	Library clerks	3: Female	98,359	10.35	1.78	6.30	1.47	6.73	1.37	28.45	2.38	3.47	0.98	3.43	1.04	43.48	2.72
329	Library clerks	4: White	100,948	9.29	1.63	5.69	1.35	5.97	1.24	28.13	2.24	3.35	1.01	3.58	1.02	43.77	2.79
329	Library clerks	5: Black	15,408	13.66	4.44	9.04	4.13	9.88	4.27	20.90	6.10	1.56	1.59	2.31	1.77	36.23	6.10
329	Library clerks	6: Other	9,369	17.32	7.64	11.04	5.89	7.01	4.67	15.76	6.81	0.00	0.00	4.03	3.97	47.85	11.28
329	Library clerks	7: Hispanic	10,207	5.89	4.35	2.18	2.23	2.18	2.23	19.56	6.85	0.00	0.00	0.00	0.00	26.27	8.54
329	Library clerks	8: NonHispanic	115,518	10.83	1.63	6.88	1.36	6.91	1.25	26.89	2.23	3.14	0.90	3.76	1.00	44.64	2.62
335	File clerks	1: Total	193,069	9.29	1.25	5.71	0.88	7.57	1.18	27.93	1.75	3.67	0.69	6.37	0.94	39.69	1.74
335	File clerks	2: Male	40,157	5.56	1.90	3.34	1.46	5.03	1.76	18.75	3.31	1.12	0.82	3.70	1.51	32.42	3.05
335	File clerks	3: Female	152,912	10.27	1.54	6.34	1.10	8.23	1.45	30.35	1.83	4.34	0.88	7.07	1.07	41.60	2.11
335	File clerks	4: White	147,502	9.61	1.49	5.58	1.06	7.54	1.37	29.06	1.89	3.80	0.85	6.06	1.04	42.98	2.02
335	File clerks	5: Black	35,931	9.14	2.33	6.43	2.02	8.34	2.32	27.49	4.01	4.13	1.84	9.01	2.31	31.32	3.76
335	File clerks	6: Other	9,636	5.05	3.26	5.05	3.26	5.05	3.26	12.29	5.32	0.00	0.00	1.30	1.31	20.49	6.47
335	File clerks	7: Hispanic	19,217	10.65	3.87	7.06	2.66	8.21	2.86	27.76	5.05	4.81	3.41	8.16	3.18	35.60	6.05
335	File clerks	8: NonHispanic	173,853	9.14	1.24	5.56	0.86	7.50	1.18	27.95	1.89	3.54	0.78	6.17	0.94	40.14	1.80
336	Records clerks	1: Total	159,184	10.21	1.11	6.07	0.91	7.64	1.04	27.81	1.90	4.76	0.82	5.17	0.78	40.57	1.99
336	Records clerks	2: Male	34,088	5.54	1.90	2.77	1.38	3.37	1.50	12.66	3.12	5.35	2.14	4.92	1.91	34.19	4.73
336	Records clerks	3: Female	125,096	11.48	1.29	6.97	1.08	8.81	1.23	31.93	2.12	4.60	0.90	5.24	0.93	42.31	2.03
336	Records clerks	4: White	133,291	10.32	1.33	5.94	1.03	7.26	1.16	28.84	2.06	4.89	0.91	4.46	0.84	41.52	2.13
336	Records clerks	5: Black	19,718	9.16	3.03	5.37	2.48	9.16	3.03	21.82	4.76	2.82	1.62	9.07	2.91	38.60	6.33
336	Records clerks	6: Other	6,175	11.08	7.17	11.08	7.17	11.08	7.17	24.72	8.81	8.12	5.46	7.96	7.54	26.34	9.16
336	Records clerks	7: Hispanic	11,973	11.04	4.28	10.69	4.29	9.07	4.11	28.04	5.76	6.55	3.77	12.48	4.54	41.70	7.81
336	Records clerks	8: NonHispanic	147,211	10.14	1.16	5.69	0.96	7.53	1.09	27.79	1.98	4.61	0.84	4.57	0.76	40.48	2.00
337	Bookkeepers, accounting, and auditing clerks	1: Total	1,817,127	8.70	0.34	5.36	0.26	6.15	0.29	28.25	0.56	5.30	0.30	4.94	0.30	40.25	0.68
337	Bookkeepers, accounting, and auditing clerks	2: Male	163,476	8.80	1.43	4.48	0.93	6.03	1.29	19.24	1.72	5.87	1.07	5.88	0.93	35.48	2.14
337	Bookkeepers, accounting, and auditing clerks	3: Female	1,653,650	8.69	0.35	5.45	0.28	6.16	0.31	29.14	0.57	5.24	0.31	4.85	0.29	40.72	0.70
337	Bookkeepers, accounting, and auditing clerks	4: White	1,651,362	8.89	0.36	5.47	0.27	6.28	0.30	28.70	0.58	5.39	0.32	4.93	0.31	41.11	0.69
337	Bookkeepers, accounting, and auditing clerks	5: Black	97,144	8.50	1.43	5.17	1.16	5.85	1.32	26.86	2.51	4.96	1.35	5.42	1.40	32.39	2.22
337	Bookkeepers, accounting, and auditing clerks	6: Other	68,621	4.25	1.43	3.08	1.13	3.46	1.25	19.32	2.38	3.68	1.29	4.50	1.27	30.72	3.74
337	Bookkeepers, accounting, and auditing clerks	7: Hispanic	90,453	10.99	1.69	7.24	1.41	9.01	1.60	27.65	2.26	6.45	1.22	7.76	1.18	35.72	3.04
337	Bookkeepers, accounting, and auditing clerks	8: NonHispanic	1,726,674	8.58	0.33	5.26	0.26	6.00	0.28	28.28	0.57	5.24	0.31	4.80	0.30	40.49	0.68
338	Payroll and timekeeping clerks	1: Total	150,511	10.01	1.34	6.39	1.09	8.35	1.20	31.60	2.08	4.45	0.78	4.21	0.81	38.58	2.15
338	Payroll and timekeeping clerks	2: Male	15,990	8.12	3.70	2.40	1.81	6.30	3.45	26.97	5.59	5.50	3.39	9.19	3.96	39.31	6.74
338	Payroll and timekeeping clerks	3: Female	134,521	10.23	1.43	6.86	1.21	8.60	1.23	32.15	2.18	4.32	0.80	3.62	0.76	38.50	2.29
338	Payroll and timekeeping clerks	4: White	129,718	10.57	1.53	6.63	1.24	8.66	1.38	32.62	2.22	4.53	0.86	3.96	0.87	38.74	2.28
338	Payroll and timekeeping clerks	5: Black	14,808	4.53	2.57	2.31	1.74	4.53	2.57	23.77	5.16	3.86	2.07	8.10	3.44	37.86	7.20
338	Payroll and timekeeping clerks	6: Other	5,985	11.28	5.87	11.28	5.87	11.28	5.87	29.18	10.79	4.07	4.02	0.00	0.00	36.92	13.03
338	Payroll and timekeeping clerks	7: Hispanic	9,273	10.15	4.85	4.84	3.06	10.15	4.85	27.30	7.12	0.00	0.00	4.99	3.18	28.78	6.41
338	Payroll and timekeeping clerks	8: NonHispanic	141,237	10.00	1.30	6.49	1.13	8.24	1.23	31.88	2.18	4.74	0.83	4.16	0.85	39.23	2.17
339	Billing clerks	1: Total	165,608	10.26	1.05	6.75	0.85	7.57	0.87	30.77	1.94	5.56	0.97	5.29	1.02	38.83	1.99
339	Billing clerks	2: Male	15,055	15.10	6.51	5.03	2.83	8.97	3.88	17.78	6.72	13.67	6.24	7.59	5.91	41.90	7.14
339	Billing clerks	3: Female	150,553	9.78	1.00	6.92	0.94	7.43	0.94	32.07	2.09	4.75	0.85	5.06	0.97	38.52	2.06
339	Billing clerks	4: White	143,857	9.77	1.16	6.59	0.90	6.67	0.90	31.47	2.08	5.76	1.07	4.90	1.11	38.60	2.01
339	Billing clerks	5: Black	15,636	11.43	4.29	4.93	2.65	11.43	4.29	26.58	5.21	2.85	1.70	9.46	3.21	38.59	6.95
339	Billing clerks	6: Other	6,115	18.86	7.11	15.15	7.08	18.86	7.11	25.11	9.72	7.78	5.25	3.71	3.48	44.89	11.18
339	Billing clerks	7: Hispanic	8,191	8.49	4.47	5.20	3.68	8.49	4.47	18.34	5.72	10.42	5.33	6.26	4.23	34.21	8.71
339	Billing clerks	8: NonHispanic	157,417	10.36	1.13	6.83	0.90	7.53	0.94	31.42	1.97	5.31	0.97	5.24	1.00	39.07	1.98
348	Telephone operators	1: Total	195,396	12.11	1.27	7.73	1.02	8.97	1.14	30.59	1.73	6.62	0.89	7.77	1.13	42.62	1.89
348	Telephone operators	2: Male	20,290	10.33	3.29	5.55	2.32	7.84	2.80	14.23	4.28	7.55	3.09	1.23	1.23	35.97	5.91
348	Telephone operators	3: Female	175,105	12.31	1.38	7.98	1.11	9.10	1.26	32.46	2.00	6.51	0.94	8.53	1.25	43.38	2.16
348	Telephone operators	4: White	149,302	11.79	1.39	7.26	1.07	8.69	1.21	31.45	1.98	6.89	1.10	6.89	1.25	43.97	2.21
348	Telephone operators	5: Black	38,556	12.14	2.38	7.49	2.05	9.44	2.24	26.35	4.13	6.87	2.03	7.71	2.25	37.81	4.09
348	Telephone operators	6: Other	7,537	18.10	10.93	18.10	10.93	12.01	8.98	35.52	7.71	0.00	0.00	25.48	8.90	40.36	7.43
348	Telephone operators	7: Hispanic	11,184	6.51	3.73	6.51	3.73	6.51	3.73	25.27	7.62	5.06	4.91	10.02	5.81	38.28	7.28
348	Telephone operators	8: NonHispanic	184,211	12.45	1.34	7.80	1.09	9.12	1.19	30.92	1.78	6.71	0.92	7.64	1.13	42.88	2.02
354	Postal clerks, except mail carriers	1: Total	310,003	11.86	1.13	7.53	0.89	9.70	1.07	28.90	1.26	4.53	0.59	6.55	0.69	42.58	1.55
354	Postal clerks, except mail carriers	2: Male	170,471	10.00	1.45	5.83	1.06	8.35	1.40	23.36	1.80	4.92	0.84	7.07	0.99	41.31	2.01
354	Postal clerks, except mail carriers	3: Female	139,532	14.13	1.61	9.60	1.26	11.34	1.45	35.67	1.76	4.05	0.76	5.92	1.01	44.13	2.36
354	Postal clerks, except mail carriers	4: White	207,923	12.12	1.18	6.90	0.93	9.95	1.11	28.43	1.58	4.78	0.78	5.61	0.88	44.74	1.68
354	Postal clerks, except mail carriers	5: Black	82,256	11.24	1.85	9.21	1.79	8.56	1.60	32.37	2.82	4.73	0.92	8.39	1.30	38.11	2.80
354	Postal clerks, except mail carriers	6: Other	19,824	11.71	7.61	7.06	5.46	11.71	7.61	19.38	4.81	1.09	1.07	8.87	2.75	38.42	8.35
354	Postal clerks, except mail carriers	7: Hispanic	21,022	24.81	5.01	12.98	3.67	18.26	4.82	20.48	4.45	1.05	1.06	7.73	3.87	49.76	5.64
354	Postal clerks, except mail carriers	8: NonHispanic	288,981	10.92	1.10	7.13	0.90	9.07	1.03	29.50	1.35	4.78	0.63	6.47	0.70	42.05	1.56
355	Mail carriers, postal service	1: Total	303,415	10.43	1.11	5.08	0.81	8.48	0.94	24.64	1.28	5.31	0.72	4.29	0.60	41.67	1.61
355	Mail carriers, postal service	2: Male	217,151	9.58	1.33	4.57	0.94	7.66	1.19	21.64	1.51	5.52	0.83	4.65	0.77	41.17	1.95
355	Mail carriers, postal service	3: Female	86,263	12.58	1.85	6.39	1.49	10.52	1.63	32.20	2.55	4.79	1.27	3.39	1.15	42.94	2.79
355	Mail carriers, postal service	4: White	251,840	9.83	1.09	4.35	0.76	8.31	1.03	25.00	1.43	5.06	0.81	4.52	0.67	42.69	1.62
355	Mail carriers, postal service	5: Black	39,538	11.34	2.72	6.22	2.01	8.37	2.20	25.75	3.84	7.99	2.26	2.81	1.28	34.05	3.77
355	Mail carriers, postal service	6: Other	12,037	20.13	9.79	16.67	8.22	12.36	7.57	13.44	5.38	1.83	1.68	4.39	3.12	45.51	11.41
355	Mail carriers, postal service	7: Hispanic	21,353	17.94	4.11	7.93	3.95	13.85	3.65	19.91	4.73	6.35	2.87	2.04	1.42	42.48	5.31
355	Mail carriers, postal service	8: NonHispanic	282,061	9.87	1.09	4.87	0.77	8.07	0.97	25.00	1.30	5.24	0.74	4.47	0.65	41.61	1.60
356	Mail clerks, except postal service	1: Total	178,110	8.72	1.13	4.13	0.70	5.85	0.95	23.90	1.88	4.37	0.68	5.63	0.83	38.26	1.74
356	Mail clerks, except postal service	2: Male	101,596	7.84	1.49	3.32	0.83	5.52	1.31	19.44	2.36	3.44	0.81	5.60	1.11	36.94	2.72
356	Mail clerks, except postal service	3: Female	76,514	9.89	1.74	5.21	1.26	6.28	1.35	29.85	2.89	5.60	1.28	5.67	1.30	40.02	2.63
356	Mail clerks, except postal service	4: White	134,186	8.05	1.19	4.07	0.82	5.40	0.98	24.71	2.09	4.28	0.78	4.84	0.87	40.64	2.11
356	Mail clerks, except postal service	5: Black	38,112	9.13	2.79	3.32	1.42	7.73	2.69	22.35	3.78	4.76	1.67	6.98	1.64	31.90	3.96
356	Mail clerks, except postal service	6: Other	5,812	21.46	9.68	10.79	7.39	3.77	3.76	15.41	6.70	3.82	3.76	15.05	8.27	25.02	9.99
356	Mail clerks, except postal service	7: Hispanic	18,429	4.02	2.08	4.02	2.08	4.02	2.08	24.86	5.96	3.77	2.06	5.17	2.81	29.63	6.22
356	Mail clerks, except postal service	8: NonHispanic	159,682	9.26	1.21	4.14	0.78	6.06	1.03	23.79	1.88	4.44	0.73	5.68	0.88	39.26	1.77
357	Messengers	1: Total	123,316	9.71	1.36	5.25	1.02	5.76	1.03	23.22	2.46	5.36	1.12	6.38	1.30	40.46	2.41
357	Messengers	2: Male	94,001	10.18	1.70	5.18	1.23	6.14	1.25	22.04	2.76	5.28	1.28	7.40	1.63	44.41	2.95
357	Messengers	3: Female	29,314	8.17	2.67	5.49	2.12	4.55	2.05	27.01	4.53	5.64	2.49	3.15	1.42	27.77	3.96
357	Messengers	4: White	100,817	10.39	1.63	5.97	1.25	6.48	1.25	23.58	2.54	5.93	1.31	6.48	1.48	41.92	2.80
357	Messengers	5: Black	18,180	6.51	2.54	2.54	1.53	3.18	1.82	24.31	5.52	3.50	2.04	7.36	2.80	34.51	5.07
357	Messengers	6: Other	4,319	7.26	6.67	0.00	0.00	0.00	0.00	10.53	6.43	0.00	0.00	0.00	0.00	31.23	15.85
357	Messengers	7: Hispanic	12,004	13.51	4.96	10.41	4.49	9.54	4.20	22.83	7.41	0.00	0.00	9.38	5.01	36.44	4.83
357	Messengers	8: NonHispanic	111,312	9.29	1.43	4.69	1.07	5.36	1.13	23.27	2.59	5.94	1.24	6.06	1.31	40.89	2.71
359	Dispatchers	1: Total	180,789	11.00	1.54	7.28	1.28	7.94	1.19	22.92	1.62	6.53	0.84	6.46	1.01	41.10	1.85
359	Dispatchers	2: Male	91,223	6.32	1.51	3.50	0.98	4.41	1.34	15.94	2.12	6.51	1.34	4.12	1.09	36.40	2.62
359	Dispatchers	3: Female	89,566	15.76	2.56	11.14	2.31	11.53	2.01	30.06	2.57	6.55	1.26	8.86	1.71	45.89	2.73
359	Dispatchers	4: White	162,937	10.73	1.63	7.08	1.38	7.56	1.22	23.22	1.73	6.50	0.89	6.53	1.05	41.79	1.95
359	Dispatchers	5: Black	14,936	11.81	3.71	8.11	3.44	9.38	3.56	21.11	5.51	8.10	2.78	2.77	1.85	33.88	5.38
359	Dispatchers	6: Other	2,916	21.77	11.81	14.52	9.50	21.77	11.81	15.49	10.04	0.00	0.00	21.52	11.71	39.75	14.21
359	Dispatchers	7: Hispanic	10,432	6.29	3.53	6.29	3.53	6.29	3.53	11.61	5.48	4.82	3.03	0.00	0.00	32.10	7.75
359	Dispatchers	8: NonHispanic	170,357	11.29	1.58	7.34	1.31	8.04	1.24	23.62	1.68	6.63	0.87	6.86	1.07	41.65	1.94
363	Production coordinators	1: Total	204,210	8.33	0.94	4.80	0.74	6.15	0.88	26.26	1.59	4.87	0.78	4.80	0.73	40.43	1.62
363	Production coordinators	2: Male	109,596	8.14	1.27	4.75	1.08	6.48	1.19	22.15	2.01	6.16	1.20	5.42	1.02	39.48	2.39
363	Production coordinators	3: Female	94,614	8.56	1.31	4.86	1.01	5.77	1.09	30.99	2.41	3.38	0.99	4.08	0.96	41.53	2.34
363	Production coordinators	4: White	184,024	8.08	0.97	4.82	0.79	5.96	0.91	26.78	1.70	5.13	0.86	4.14	0.73	40.22	1.74
363	Production coordinators	5: Black	15,000	9.59	3.87	4.69	2.85	7.42	3.24	17.09	5.16	1.83	1.41	11.40	4.08	42.62	6.35
363	Production coordinators	6: Other	5,187	13.74	7.08	4.43	4.34	9.30	5.63	34.20	11.41	4.53	4.49	8.97	6.15	41.61	9.97
363	Production coordinators	7: Hispanic	8,866	15.71	5.40	11.87	4.98	13.37	5.25	12.29	5.21	5.35	3.61	5.68	3.70	38.51	8.36
363	Production coordinators	8: NonHispanic	195,344	8.00	0.96	4.48	0.75	5.82	0.90	26.89	1.66	4.85	0.80	4.76	0.74	40.52	1.75
364	Traffic, shipping, and receiving clerks	1: Total	531,212	8.86	0.72	4.74	0.58	6.39	0.64	19.55	1.03	4.00	0.51	6.04	0.58	35.26	1.16
364	Traffic, shipping, and receiving clerks	2: Male	384,452	8.02	0.90	4.33	0.67	5.47	0.71	17.09	1.14	3.96	0.57	5.77	0.71	32.75	1.42
364	Traffic, shipping, and receiving clerks	3: Female	146,759	11.06	1.44	5.84	1.13	8.82	1.39	26.00	1.87	4.11	0.94	6.76	1.12	41.83	2.15
364	Traffic, shipping, and receiving clerks	4: White	434,475	8.81	0.72	5.01	0.61	6.35	0.67	20.13	1.07	4.05	0.55	5.43	0.63	35.96	1.34
364	Traffic, shipping, and receiving clerks	5: Black	77,426	8.23	1.79	3.44	1.19	5.45	1.32	16.47	2.72	4.06	1.24	7.84	1.40	33.30	3.07
364	Traffic, shipping, and receiving clerks	6: Other	19,310	12.36	4.86	3.86	2.68	11.20	4.40	18.97	6.33	2.60	1.80	12.71	4.72	27.44	7.67
364	Traffic, shipping, and receiving clerks	7: Hispanic	57,292	9.03	2.01	5.56	1.92	5.66	1.58	13.83	2.77	2.56	0.99	9.30	1.95	28.18	3.20
364	Traffic, shipping, and receiving clerks	8: NonHispanic	473,920	8.84	0.75	4.64	0.59	6.48	0.68	20.25	1.08	4.18	0.54	5.65	0.63	36.12	1.22
365	Stock and inventory clerks	1: Total	585,833	8.95	0.61	4.58	0.45	7.17	0.56	23.03	1.00	6.50	0.56	6.23	0.55	37.71	1.07
365	Stock and inventory clerks	2: Male	355,972	6.45	0.64	3.14	0.47	5.28	0.59	17.32	1.13	5.55	0.70	5.38	0.71	34.01	1.31
365	Stock and inventory clerks	3: Female	229,861	12.81	1.20	6.80	0.83	10.09	1.10	31.94	1.73	7.97	0.94	7.55	0.86	43.43	1.76
365	Stock and inventory clerks	4: White	483,956	8.92	0.65	4.43	0.47	6.86	0.55	23.69	1.09	6.83	0.62	5.99	0.59	39.71	1.19
365	Stock and inventory clerks	5: Black	81,578	7.96	1.46	4.86	1.20	7.69	1.44	18.69	2.09	6.17	1.25	7.59	1.38	27.70	2.66
365	Stock and inventory clerks	6: Other	20,299	13.54	4.53	6.82	3.29	12.33	4.31	24.63	5.22	0.00	0.00	6.48	3.70	30.05	5.33
365	Stock and inventory clerks	7: Hispanic	49,932	6.88	1.98	4.94	1.93	4.16	1.44	15.25	3.44	5.23	1.93	2.80	1.56	26.85	3.51
365	Stock and inventory clerks	8: NonHispanic	535,901	9.14	0.65	4.54	0.48	7.45	0.59	23.75	1.05	6.62	0.55	6.55	0.58	38.72	1.11
373	Expediters	1: Total	169,140	9.26	1.17	5.29	0.86	6.44	1.02	25.27	1.56	4.32	0.94	6.89	1.01	36.48	1.91
373	Expediters	2: Male	58,752	8.18	2.01	4.22	1.30	5.07	1.37	18.50	3.02	5.78	1.96	3.83	1.44	37.81	3.63
373	Expediters	3: Female	110,388	9.84	1.46	5.86	1.16	7.17	1.37	28.84	2.06	3.54	0.85	8.51	1.42	35.76	2.38
373	Expediters	4: White	143,787	9.04	1.29	5.03	0.91	6.00	1.12	26.47	1.73	4.45	1.06	6.64	1.11	37.87	2.18
373	Expediters	5: Black	20,203	13.22	3.74	8.48	3.44	11.22	3.66	19.68	4.61	3.38	1.78	10.39	3.29	33.75	4.82
373	Expediters	6: Other	5,150	0.00	0.00	0.00	0.00	0.00	0.00	13.91	9.11	4.39	4.32	0.00	0.00	8.20	5.65
373	Expediters	7: Hispanic	13,687	13.25	4.81	6.29	3.22	11.70	4.60	19.73	5.28	2.56	1.82	10.51	4.42	35.46	7.39
373	Expediters	8: NonHispanic	155,453	8.91	1.28	5.20	1.00	5.98	1.12	25.75	1.67	4.48	1.02	6.57	1.03	36.56	2.03
375	Insurance adjusters, examiners, and investigators	1: Total	304,227	9.80	0.94	6.26	0.67	6.93	0.75	28.17	1.48	5.58	0.66	3.29	0.50	38.68	1.56
375	Insurance adjusters, examiners, and investigators	2: Male	88,079	8.13	1.72	4.75	1.13	4.29	1.12	19.26	2.11	5.71	1.41	3.92	1.10	34.05	3.06
375	Insurance adjusters, examiners, and investigators	3: Female	216,148	10.48	1.12	6.88	0.85	8.01	0.92	31.80	1.70	5.53	0.71	3.04	0.52	40.57	1.61
375	Insurance adjusters, examiners, and investigators	4: White	258,407	9.46	1.06	5.94	0.74	6.82	0.84	28.56	1.59	5.68	0.72	3.01	0.54	38.45	1.74
375	Insurance adjusters, examiners, and investigators	5: Black	37,062	10.85	2.89	6.93	2.41	7.49	2.28	26.12	3.39	6.20	2.16	6.07	1.98	39.21	3.69
375	Insurance adjusters, examiners, and investigators	6: Other	8,758	15.47	6.30	12.92	6.78	7.74	3.66	25.43	8.35	0.00	0.00	0.00	0.00	43.36	11.00
375	Insurance adjusters, examiners, and investigators	7: Hispanic	18,714	8.30	4.15	2.50	1.75	3.87	2.92	32.58	6.12	3.63	1.83	1.14	1.14	28.97	5.22
375	Insurance adjusters, examiners, and investigators	8: NonHispanic	285,513	9.90	0.93	6.51	0.71	7.13	0.78	27.88	1.46	5.71	0.69	3.44	0.52	39.32	1.63
376	Investigators and adjusters, except insurance	1: Total	636,942	10.09	0.65	5.78	0.52	7.12	0.52	27.47	1.00	4.34	0.40	3.68	0.40	39.11	1.22
376	Investigators and adjusters, except insurance	2: Male	163,828	8.23	1.14	2.55	0.69	4.19	0.78	17.43	1.55	3.35	0.75	3.73	0.77	34.37	2.08
376	Investigators and adjusters, except insurance	3: Female	473,114	10.73	0.78	6.89	0.63	8.14	0.64	30.96	1.09	4.68	0.50	3.66	0.47	40.75	1.36
376	Investigators and adjusters, except insurance	4: White	544,471	10.38	0.72	6.01	0.56	7.25	0.58	27.92	1.02	4.41	0.41	3.62	0.44	40.48	1.27
376	Investigators and adjusters, except insurance	5: Black	73,460	9.26	1.87	4.85	1.44	6.73	1.56	25.20	2.93	4.55	1.58	5.11	1.50	31.97	3.55
376	Investigators and adjusters, except insurance	6: Other	19,011	4.95	2.87	2.70	1.81	4.95	2.87	23.42	5.11	1.32	1.30	0.00	0.00	27.61	6.45
376	Investigators and adjusters, except insurance	7: Hispanic	45,242	11.48	2.39	6.81	2.06	8.59	2.39	30.88	3.90	5.14	2.37	6.81	2.36	41.88	4.26
376	Investigators and adjusters, except insurance	8: NonHispanic	591,700	9.98	0.70	5.70	0.54	7.01	0.55	27.21	1.03	4.28	0.38	3.44	0.39	38.90	1.27
378	Bill and account collectors	1: Total	133,916	13.06	2.35	8.66	2.36	11.32	2.43	25.65	1.89	8.43	1.24	6.02	1.13	40.75	2.96
378	Bill and account collectors	2: Male	48,058	10.36	2.47	2.37	1.06	7.93	2.08	22.41	3.32	8.53	2.10	4.97	1.68	39.59	4.06
378	Bill and account collectors	3: Female	85,858	14.57	3.57	12.18	3.62	13.22	3.59	27.47	2.41	8.38	1.58	6.61	1.47	41.39	4.09
378	Bill and account collectors	4: White	114,532	13.28	2.65	8.47	2.69	11.25	2.76	27.40	2.05	9.62	1.45	6.37	1.27	42.74	3.29
378	Bill and account collectors	5: Black	17,327	10.24	4.72	8.01	3.58	10.24	4.72	14.31	4.50	1.58	1.58	4.42	2.36	29.48	5.61
378	Bill and account collectors	6: Other	2,057	24.61	15.51	24.61	15.51	24.61	15.51	24.09	15.33	0.00	0.00	0.00	0.00	24.61	15.51
378	Bill and account collectors	7: Hispanic	11,787	8.90	3.98	8.90	3.98	8.90	3.98	19.14	5.59	3.98	2.40	5.67	3.44	24.32	5.53
378	Bill and account collectors	8: NonHispanic	122,129	13.46	2.44	8.64	2.43	11.56	2.52	26.27	1.98	8.86	1.34	6.05	1.16	42.33	3.10
379	General office clerks	1: Total	1,187,412	9.82	0.42	5.76	0.34	7.34	0.37	26.84	0.67	5.15	0.35	5.93	0.42	39.30	0.89
379	General office clerks	2: Male	217,103	9.04	1.25	4.71	0.92	6.69	1.11	19.42	1.47	3.74	0.60	6.71	0.98	35.68	1.94
379	General office clerks	3: Female	970,309	10.00	0.49	6.00	0.38	7.48	0.43	28.50	0.71	5.47	0.39	5.76	0.43	40.11	0.93
379	General office clerks	4: White	992,097	9.99	0.47	5.78	0.36	7.33	0.37	27.64	0.74	5.36	0.41	5.58	0.42	40.31	0.92
379	General office clerks	5: Black	147,483	9.89	1.20	6.26	1.02	8.36	1.17	25.06	1.79	4.95	0.86	8.06	1.13	36.24	2.15
379	General office clerks	6: Other	47,832	6.12	2.04	3.88	1.69	4.41	1.73	15.59	2.63	1.48	0.79	6.82	2.71	27.89	5.08
379	General office clerks	7: Hispanic	93,915	11.23	1.64	6.69	1.46	8.74	1.53	25.64	2.44	5.52	1.28	6.79	1.36	34.64	2.48
379	General office clerks	8: NonHispanic	1,093,497	9.70	0.43	5.68	0.33	7.22	0.37	26.94	0.70	5.12	0.36	5.86	0.44	39.70	0.96
383	Bank tellers	1: Total	452,802	8.65	0.82	5.35	0.61	6.45	0.76	24.56	1.18	4.46	0.55	3.28	0.43	32.33	1.25
383	Bank tellers	2: Male	39,851	6.29	2.23	3.95	1.68	2.93	1.32	12.88	2.76	5.74	2.23	2.19	1.02	27.21	3.23
383	Bank tellers	3: Female	412,951	8.88	0.83	5.48	0.64	6.79	0.80	25.69	1.24	4.33	0.56	3.39	0.47	32.82	1.32
383	Bank tellers	4: White	391,439	9.12	0.87	5.88	0.68	6.67	0.81	24.43	1.29	4.73	0.60	2.84	0.41	33.11	1.41
383	Bank tellers	5: Black	43,808	6.80	2.04	2.25	1.31	6.00	1.98	27.82	4.21	3.29	1.53	7.00	2.35	28.57	3.06
383	Bank tellers	6: Other	17,555	2.77	1.91	1.31	1.30	2.77	1.91	19.42	4.99	1.20	1.21	3.82	2.21	24.29	5.40
383	Bank tellers	7: Hispanic	34,169	5.41	2.30	2.81	1.39	2.82	1.85	19.65	3.92	8.48	2.77	7.25	2.28	22.49	3.00
383	Bank tellers	8: NonHispanic	418,633	8.92	0.84	5.56	0.64	6.75	0.79	24.96	1.16	4.13	0.52	2.96	0.42	33.13	1.30
385	Data-entry keyers	1: Total	485,635	11.15	0.77	6.72	0.64	8.25	0.64	28.97	1.06	4.75	0.53	6.10	0.54	39.34	1.11
385	Data-entry keyers	2: Male	73,725	8.88	1.95	5.38	1.74	7.51	1.84	21.44	2.87	5.34	1.39	7.30	1.64	34.27	2.92
385	Data-entry keyers	3: Female	411,909	11.56	0.80	6.96	0.65	8.38	0.69	30.32	1.12	4.65	0.53	5.88	0.54	40.25	1.20
385	Data-entry keyers	4: White	365,475	12.11	0.89	7.41	0.75	8.80	0.75	30.76	1.23	4.62	0.61	6.06	0.70	42.47	1.39
385	Data-entry keyers	5: Black	91,883	7.97	1.23	4.06	0.98	6.18	1.13	23.50	2.07	6.12	1.30	5.79	1.02	29.48	1.81
385	Data-entry keyers	6: Other	28,277	9.05	3.45	6.50	3.17	7.75	2.71	23.68	5.14	2.05	1.47	7.57	2.96	30.97	4.67
385	Data-entry keyers	7: Hispanic	35,687	11.89	3.38	10.68	2.76	9.38	2.59	25.62	4.85	4.86	1.88	5.03	2.08	32.74	5.45
385	Data-entry keyers	8: NonHispanic	449,947	11.09	0.80	6.41	0.66	8.16	0.67	29.24	1.01	4.75	0.55	6.18	0.53	39.87	1.17
387	Teachers aides	1: Total	388,785	9.66	0.79	5.23	0.52	6.90	0.71	28.32	1.31	4.57	0.53	6.61	0.64	40.54	1.49
387	Teachers aides	2: Male	21,414	11.16	4.27	3.37	1.96	4.44	2.40	17.42	4.08	2.16	1.56	2.12	1.46	30.56	6.33
387	Teachers aides	3: Female	367,370	9.57	0.81	5.34	0.54	7.05	0.76	28.96	1.31	4.71	0.54	6.87	0.67	41.12	1.45
387	Teachers aides	4: White	314,883	9.48	0.92	5.24	0.60	6.50	0.80	28.40	1.54	4.34	0.58	6.04	0.68	41.92	1.69
387	Teachers aides	5: Black	61,772	12.10	2.16	5.86	1.42	9.93	2.07	28.59	2.83	5.90	1.36	9.65	1.85	34.14	3.30
387	Teachers aides	6: Other	12,130	1.89	1.71	1.89	1.71	1.89	1.71	24.90	7.62	3.83	2.78	5.54	2.78	37.39	8.32
387	Teachers aides	7: Hispanic	52,219	9.46	2.59	6.51	1.48	7.75	2.14	22.78	4.44	3.33	1.43	7.14	1.45	29.56	4.71
387	Teachers aides	8: NonHispanic	336,566	9.69	0.85	5.04	0.56	6.77	0.77	29.18	1.27	4.76	0.56	6.52	0.71	42.24	1.48
389	Administrative support occs	1: Total	717,172	9.54	0.54	5.65	0.42	6.91	0.50	28.66	0.92	5.30	0.55	4.42	0.41	42.33	0.99
389	Administrative support occs	2: Male	169,607	7.10	1.01	3.86	0.83	4.68	0.82	16.03	1.48	5.02	1.00	4.03	0.87	36.01	1.89
389	Administrative support occs	3: Female	547,564	10.29	0.70	6.20	0.54	7.60	0.64	32.57	1.06	5.39	0.66	4.54	0.43	44.28	1.06
389	Administrative support occs	4: White	603,814	9.45	0.57	5.55	0.47	6.93	0.52	29.28	1.01	5.73	0.62	4.12	0.45	42.84	1.03
389	Administrative support occs	5: Black	82,999	9.97	1.62	5.92	1.10	6.74	1.25	27.27	2.66	2.61	0.91	6.85	1.43	40.60	3.21
389	Administrative support occs	6: Other	30,359	10.07	2.93	6.76	2.20	6.99	2.11	20.04	4.98	4.00	1.57	3.75	1.65	36.75	5.12
389	Administrative support occs	7: Hispanic	43,281	12.86	2.28	7.94	1.92	10.73	2.15	29.81	3.45	3.32	1.40	7.62	2.17	33.12	3.21
389	Administrative support occs	8: NonHispanic	673,891	9.33	0.61	5.50	0.45	6.66	0.55	28.58	0.96	5.43	0.58	4.21	0.42	42.92	1.03
406	Child care workers, private household	1: Total	184,736	9.51	1.25	5.65	0.94	4.74	0.87	29.97	1.79	6.20	1.01	11.44	1.17	45.16	2.04
406	Child care workers, private household	2: Male	4,252	0.00	0.00	0.00	0.00	0.00	0.00	9.16	8.76	0.00	0.00	0.00	0.00	34.12	13.17
406	Child care workers, private household	3: Female	180,484	9.73	1.28	5.79	0.96	4.85	0.89	30.46	1.83	6.35	1.03	11.71	1.19	45.42	2.08
406	Child care workers, private household	4: White	152,239	9.71	1.42	5.89	1.07	4.32	0.92	31.44	2.02	6.30	1.17	10.78	1.24	46.29	2.22
406	Child care workers, private household	5: Black	25,514	10.90	2.70	5.78	2.11	8.49	2.59	22.72	3.91	5.74	2.54	16.92	3.59	41.13	4.86
406	Child care workers, private household	6: Other	6,983	0.00	0.00	0.00	0.00	0.00	0.00	24.55	10.61	5.88	5.68	5.76	4.11	35.29	11.12
406	Child care workers, private household	7: Hispanic	20,558	3.81	2.12	2.39	1.64	1.42	1.41	21.76	5.74	3.55	2.60	12.40	3.11	26.78	5.49
406	Child care workers, private household	8: NonHispanic	164,178	10.22	1.35	6.06	1.02	5.15	0.97	31.00	1.89	6.54	1.10	11.31	1.26	47.46	2.12
407	Private household cleaners and servants	1: Total	515,168	9.58	0.73	5.06	0.46	5.54	0.52	25.47	1.07	4.60	0.47	17.99	0.94	46.28	1.37
407	Private household cleaners and servants	2: Male	27,623	7.32	3.08	4.87	2.51	5.62	2.68	12.56	3.25	1.48	1.05	12.72	3.49	34.74	5.24
407	Private household cleaners and servants	3: Female	487,545	9.71	0.75	5.07	0.48	5.53	0.54	26.21	1.08	4.78	0.48	18.29	0.98	46.93	1.43
407	Private household cleaners and servants	4: White	334,219	8.87	0.93	4.66	0.58	4.99	0.74	25.27	1.32	3.83	0.53	14.03	1.08	46.64	1.71
407	Private household cleaners and servants	5: Black	169,563	10.60	1.05	5.27	0.82	6.61	0.92	26.58	1.80	6.33	0.87	26.48	1.83	46.46	1.97
407	Private household cleaners and servants	6: Other	11,386	15.61	6.81	13.39	6.66	5.52	3.90	15.00	6.75	1.67	1.67	7.53	3.81	32.95	7.64
407	Private household cleaners and servants	7: Hispanic	93,012	5.11	0.95	3.37	1.00	3.51	0.89	19.88	2.26	2.87	0.99	16.13	2.24	29.80	2.37
407	Private household cleaners and servants	8: NonHispanic	422,156	10.57	0.83	5.43	0.53	5.98	0.57	26.71	1.15	4.98	0.53	18.40	1.00	49.91	1.44
417	Firefighting occs	1: Total	198,277	9.54	1.11	4.14	0.73	7.11	0.98	19.57	1.61	5.24	0.92	1.58	0.41	32.20	1.80
417	Firefighting occs	2: Male	193,361	9.53	1.12	4.10	0.73	7.04	0.99	19.47	1.62	5.37	0.94	1.63	0.42	32.05	1.80
417	Firefighting occs	3: Female	4,916	9.97	6.76	5.71	5.53	9.97	6.76	23.20	9.24	0.00	0.00	0.00	0.00	38.09	11.83
417	Firefighting occs	4: White	173,027	9.36	1.14	4.13	0.76	7.31	1.07	19.84	1.68	5.32	0.93	1.34	0.41	31.77	1.78
417	Firefighting occs	5: Black	19,686	11.62	3.99	5.39	2.76	7.39	3.46	20.20	4.51	5.97	2.79	4.16	2.37	39.16	6.97
417	Firefighting occs	6: Other	5,564	7.64	7.50	0.00	0.00	0.00	0.00	8.68	5.76	0.00	0.00	0.00	0.00	20.81	9.77
417	Firefighting occs	7: Hispanic	11,259	3.75	2.69	1.81	1.79	1.81	1.79	8.06	3.46	2.01	1.92	1.94	1.99	23.46	5.27
417	Firefighting occs	8: NonHispanic	187,017	9.89	1.16	4.28	0.77	7.43	1.04	20.26	1.68	5.43	0.96	1.56	0.43	32.72	1.87
418	Police and detectives, public service	1: Total	481,710	9.66	0.70	4.53	0.49	7.70	0.65	22.44	1.01	4.75	0.52	2.58	0.41	35.08	1.31
418	Police and detectives, public service	2: Male	427,880	9.46	0.72	4.13	0.48	7.45	0.68	21.43	1.06	4.99	0.59	2.54	0.41	34.93	1.40
418	Police and detectives, public service	3: Female	53,830	11.24	2.28	7.75	2.00	9.70	2.14	30.40	3.05	2.79	1.26	2.93	1.21	36.29	3.08
418	Police and detectives, public service	4: White	415,697	9.76	0.78	4.43	0.55	7.95	0.72	23.03	1.11	4.93	0.57	2.36	0.43	35.96	1.37
418	Police and detectives, public service	5: Black	57,495	9.80	2.13	5.37	1.53	6.38	1.75	19.10	2.43	3.83	1.41	4.55	1.50	28.89	3.11
418	Police and detectives, public service	6: Other	8,517	4.06	3.99	4.06	3.99	4.06	3.99	15.96	7.07	2.05	2.08	0.00	0.00	34.17	9.25
418	Police and detectives, public service	7: Hispanic	35,570	6.68	2.18	2.70	1.31	6.05	2.12	22.58	4.66	2.42	1.45	3.32	1.65	31.27	4.46
418	Police and detectives, public service	8: NonHispanic	446,140	9.90	0.75	4.68	0.53	7.83	0.68	22.43	1.00	4.93	0.55	2.52	0.42	35.39	1.35
423	Sheriffs/bailiffs/other law enforcement officers	1: Total	127,159	8.19	1.56	4.79	1.14	5.71	1.31	21.21	2.01	3.92	0.91	5.49	1.18	36.83	2.96
423	Sheriffs/bailiffs/other law enforcement officers	2: Male	108,386	7.37	1.52	4.55	1.33	5.43	1.44	19.41	2.22	3.97	1.03	5.49	1.33	35.18	3.18
423	Sheriffs/bailiffs/other law enforcement officers	3: Female	18,773	12.94	5.43	6.16	2.42	7.35	2.62	31.57	5.13	3.64	2.08	5.47	2.35	46.38	6.61
423	Sheriffs/bailiffs/other law enforcement officers	4: White	110,731	7.16	1.62	4.34	1.21	4.51	1.26	19.53	2.06	3.91	1.00	5.14	1.27	36.38	3.08
423	Sheriffs/bailiffs/other law enforcement officers	5: Black	14,369	14.29	5.71	7.46	4.18	14.29	5.71	28.96	6.59	4.57	2.33	9.10	3.68	39.00	7.61
423	Sheriffs/bailiffs/other law enforcement officers	6: Other	2,059	21.01	9.83	10.36	11.48	10.64	5.02	56.93	12.18	0.00	0.00	0.00	0.00	46.31	14.66
423	Sheriffs/bailiffs/other law enforcement officers	7: Hispanic	7,896	9.69	5.40	9.69	5.40	4.06	4.06	15.54	6.89	0.00	0.00	4.52	4.40	14.46	5.02
423	Sheriffs/bailiffs/other law enforcement officers	8: NonHispanic	119,263	8.09	1.64	4.47	1.15	5.82	1.36	21.58	2.02	4.18	0.97	5.55	1.22	38.32	3.04
424	Correctional institution officers	1: Total	219,927	11.09	1.15	4.98	0.73	8.18	0.97	22.02	1.64	5.87	0.72	5.12	0.82	36.58	1.65
424	Correctional institution officers	2: Male	173,618	9.92	1.17	3.97	0.69	7.11	0.98	17.91	2.03	5.13	0.72	4.54	0.85	34.79	1.94
424	Correctional institution officers	3: Female	46,309	15.49	2.66	8.76	2.08	12.17	2.40	37.38	3.50	8.64	2.16	7.34	3.91	43.28	3.38
424	Correctional institution officers	4: White	156,718	12.23	1.40	4.98	0.91	8.58	1.24	22.76	1.95	6.18	0.90	4.94	0.86	39.18	2.11
424	Correctional institution officers	5: Black	60,620	8.31	1.98	5.17	1.80	7.16	1.86	20.29	2.63	5.32	1.31	5.81	1.45	27.89	2.48
424	Correctional institution officers	6: Other	2,589	7.74	7.74	0.00	0.00	7.74	7.74	17.93	12.40	0.00	0.00	0.00	0.00	82.17	12.34
424	Correctional institution officers	7: Hispanic	16,375	10.49	3.88	1.40	1.36	7.99	3.37	19.51	3.69	4.11	2.32	6.68	3.53	36.26	6.39
424	Correctional institution officers	8: NonHispanic	203,552	11.14	1.19	5.27	0.79	8.19	1.07	22.22	1.77	6.01	0.73	5.00	0.91	36.60	1.68
426	Guards and police, except public service	1: Total	650,456	7.80	0.62	4.06	0.40	5.47	0.47	23.67	0.86	6.49	0.52	8.97	0.63	40.68	1.07
426	Guards and police, except public service	2: Male	552,369	7.14	0.66	3.69	0.45	4.94	0.50	21.89	0.89	7.05	0.59	8.88	0.71	39.80	1.11
426	Guards and police, except public service	3: Female	98,086	11.47	1.97	6.14	1.22	8.49	1.62	33.70	2.71	3.34	0.88	9.48	1.44	45.62	3.06
426	Guards and police, except public service	4: White	480,103	7.80	0.77	4.09	0.52	5.67	0.59	24.71	1.06	7.06	0.65	9.26	0.83	43.00	1.19
426	Guards and police, except public service	5: Black	149,390	8.15	1.18	4.37	0.90	5.32	0.99	20.90	1.78	5.31	1.05	8.75	1.13	34.77	2.07
426	Guards and police, except public service	6: Other	20,963	5.23	2.28	0.95	0.95	2.13	1.54	19.55	4.54	2.01	1.39	3.80	1.96	29.78	4.84
426	Guards and police, except public service	7: Hispanic	50,594	4.63	1.51	2.82	1.21	3.77	1.38	19.70	3.06	2.21	1.20	6.11	1.67	35.90	4.37
426	Guards and police, except public service	8: NonHispanic	599,862	8.06	0.67	4.16	0.44	5.62	0.49	24.00	0.94	6.85	0.53	9.21	0.68	41.08	1.05
433	Supervisors, food preparation and service occs	1: Total	259,072	10.36	1.10	5.74	0.92	7.04	0.94	21.30	1.51	4.87	0.67	6.27	0.75	38.07	1.87
433	Supervisors, food preparation and service occs	2: Male	104,802	9.72	1.62	6.80	1.43	7.00	1.45	13.19	2.06	3.32	0.97	5.77	1.16	33.15	2.46
433	Supervisors, food preparation and service occs	3: Female	154,270	10.80	1.40	5.01	1.07	7.07	1.17	26.81	1.90	5.92	1.00	6.62	1.07	41.41	2.33
433	Supervisors, food preparation and service occs	4: White	204,666	11.12	1.32	5.80	1.08	7.28	1.07	22.65	1.68	5.00	0.81	5.91	0.89	40.01	2.04
433	Supervisors, food preparation and service occs	5: Black	34,444	9.26	2.64	6.06	2.27	7.11	2.52	17.97	3.62	5.13	1.80	8.16	2.13	34.78	3.85
433	Supervisors, food preparation and service occs	6: Other	19,962	4.47	3.39	4.47	3.39	4.47	3.39	13.22	3.55	3.11	1.78	6.72	2.99	23.82	4.83
433	Supervisors, food preparation and service occs	7: Hispanic	25,251	7.49	2.36	2.49	1.49	7.49	2.36	18.75	4.28	3.45	2.10	12.26	3.83	22.46	4.13
433	Supervisors, food preparation and service occs	8: NonHispanic	233,821	10.67	1.20	6.09	1.00	6.99	1.02	21.57	1.56	5.03	0.72	5.63	0.81	39.75	1.88
434	Bartenders	1: Total	344,383	9.88	1.06	6.28	0.87	6.45	0.99	20.41	1.25	5.22	0.67	6.52	0.91	39.63	1.39
434	Bartenders	2: Male	165,509	6.96	1.20	3.41	0.72	3.26	0.74	15.19	1.72	5.38	0.97	4.37	0.96	34.70	2.19
434	Bartenders	3: Female	178,873	12.59	1.46	8.93	1.47	9.39	1.47	25.22	1.90	5.08	0.85	8.52	1.30	44.19	1.78
434	Bartenders	4: White	316,379	9.99	1.02	6.30	0.81	6.43	0.92	20.58	1.32	5.11	0.69	6.46	0.92	41.12	1.38
434	Bartenders	5: Black	16,534	9.08	4.13	4.73	2.93	6.94	3.74	22.18	6.56	8.45	4.23	3.36	1.89	22.04	6.01
434	Bartenders	6: Other	11,470	8.01	6.10	8.01	6.10	6.09	5.83	13.13	5.63	3.65	2.59	12.76	5.51	23.89	7.96
434	Bartenders	7: Hispanic	19,323	14.11	4.77	11.65	4.71	9.13	4.20	13.22	3.89	0.00	0.00	5.94	2.91	39.00	6.03
434	Bartenders	8: NonHispanic	325,059	9.63	1.02	5.96	0.79	6.29	0.90	20.84	1.28	5.54	0.70	6.56	0.95	39.67	1.39
435	Waiters and waitresses	1: Total	1,243,450	11.02	0.52	6.93	0.42	7.54	0.44	24.92	0.66	4.39	0.34	6.46	0.40	36.22	0.71
435	Waiters and waitresses	2: Male	223,627	6.82	0.95	3.97	0.75	4.14	0.77	11.85	1.17	3.48	0.64	2.51	0.52	26.17	1.56
435	Waiters and waitresses	3: Female	1,019,824	11.94	0.58	7.58	0.47	8.29	0.51	27.78	0.73	4.59	0.38	7.33	0.49	38.42	0.79
435	Waiters and waitresses	4: White	1,111,262	11.05	0.55	6.89	0.45	7.50	0.46	25.35	0.68	4.31	0.37	6.11	0.41	37.19	0.77
435	Waiters and waitresses	5: Black	61,054	8.86	2.35	5.51	2.06	6.74	2.08	21.26	3.27	5.12	1.41	8.83	2.40	25.94	3.28
435	Waiters and waitresses	6: Other	71,135	12.40	3.06	8.86	2.94	8.90	2.93	21.20	3.22	4.89	1.34	9.92	3.05	29.88	3.35
435	Waiters and waitresses	7: Hispanic	95,550	12.38	1.77	8.24	1.51	7.86	1.52	18.14	2.30	4.54	1.09	8.22	1.48	30.32	2.65
435	Waiters and waitresses	8: NonHispanic	1,147,900	10.90	0.55	6.82	0.45	7.52	0.48	25.48	0.71	4.37	0.36	6.32	0.42	36.71	0.77
436	Cooks	1: Total	1,587,227	8.36	0.40	4.87	0.30	6.06	0.34	19.15	0.55	4.98	0.27	9.51	0.42	34.82	0.75
436	Cooks	2: Male	783,771	6.74	0.57	3.88	0.41	4.91	0.45	11.63	0.58	3.59	0.31	5.98	0.50	27.28	0.91
436	Cooks	3: Female	803,457	9.93	0.55	5.84	0.42	7.18	0.49	26.46	0.83	6.34	0.44	12.95	0.61	42.17	0.98
436	Cooks	4: White	1,172,926	8.88	0.50	5.11	0.36	6.24	0.42	20.66	0.68	4.99	0.33	8.54	0.51	36.99	0.85
436	Cooks	5: Black	300,435	7.51	0.79	4.82	0.61	6.08	0.73	16.34	1.11	5.19	0.77	14.02	1.07	31.46	1.59
436	Cooks	6: Other	113,866	5.19	1.33	2.60	0.80	4.10	1.27	11.03	1.69	4.37	1.05	7.58	1.47	21.24	2.10
436	Cooks	7: Hispanic	209,332	6.00	0.83	3.36	0.62	4.98	0.73	10.81	0.97	3.38	0.65	8.68	1.14	24.26	1.40
436	Cooks	8: NonHispanic	1,377,895	8.71	0.44	5.10	0.32	6.22	0.36	20.41	0.59	5.22	0.31	9.64	0.44	36.42	0.82
438	Food counter/fountain/related occs	1: Total	176,859	9.07	1.09	6.71	1.00	6.78	1.02	21.91	1.70	3.38	0.64	6.43	0.99	35.32	2.09
438	Food counter/fountain/related occs	2: Male	45,699	6.17	1.91	4.64	1.65	5.71	1.92	9.03	2.02	3.80	1.31	4.43	1.90	25.80	3.76
438	Food counter/fountain/related occs	3: Female	131,160	10.08	1.23	7.44	1.19	7.15	1.10	26.36	2.09	3.23	0.75	7.11	1.18	38.64	2.25
438	Food counter/fountain/related occs	4: White	146,014	9.22	1.25	6.93	1.12	6.75	1.15	23.21	1.89	3.31	0.71	5.73	0.99	36.44	2.27
438	Food counter/fountain/related occs	5: Black	19,953	11.54	3.39	7.40	3.08	9.31	3.04	18.00	4.33	5.72	2.56	8.21	3.07	31.30	5.78
438	Food counter/fountain/related occs	6: Other	10,892	2.52	2.59	2.52	2.59	2.52	2.59	11.68	5.60	0.00	0.00	12.49	7.42	27.72	10.48
438	Food counter/fountain/related occs	7: Hispanic	17,933	7.91	2.70	6.73	2.76	6.73	2.76	13.81	4.40	1.37	1.36	8.68	3.89	36.48	6.42
438	Food counter/fountain/related occs	8: NonHispanic	158,926	9.20	1.15	6.71	1.03	6.78	1.05	22.81	1.76	3.61	0.71	6.18	1.00	35.19	2.11
439	Kitchen workers, food preparation	1: Total	192,563	6.70	0.91	3.81	0.79	4.27	0.71	24.43	1.65	5.16	0.81	8.75	0.99	36.42	1.81
439	Kitchen workers, food preparation	2: Male	57,965	5.36	1.74	3.28	1.65	2.55	0.90	10.05	1.99	2.45	0.96	4.79	1.22	31.37	3.29
439	Kitchen workers, food preparation	3: Female	134,598	7.27	1.08	4.03	0.90	5.01	0.91	30.62	2.11	6.33	1.09	10.46	1.26	38.59	2.11
439	Kitchen workers, food preparation	4: White	157,272	6.25	0.91	2.98	0.69	4.25	0.76	25.88	1.86	5.30	0.89	9.11	1.13	37.25	1.93
439	Kitchen workers, food preparation	5: Black	26,793	8.69	3.68	7.09	3.51	2.94	1.53	18.65	3.97	4.07	1.58	6.93	2.39	34.45	4.83
439	Kitchen workers, food preparation	6: Other	8,499	8.81	5.97	8.81	5.97	8.81	5.97	15.80	6.66	5.97	5.70	7.99	4.50	27.21	8.21
439	Kitchen workers, food preparation	7: Hispanic	27,503	4.66	1.90	2.93	1.67	2.82	1.45	15.80	3.16	4.86	2.07	11.11	3.40	28.06	4.55
439	Kitchen workers, food preparation	8: NonHispanic	165,061	7.04	1.05	3.95	0.89	4.51	0.81	25.86	1.78	5.21	0.89	8.36	1.02	37.81	1.94
443	Waiters/waitresses assistants	1: Total	264,739	8.84	0.97	5.08	0.70	5.92	0.74	17.12	1.35	3.50	0.58	7.56	0.97	31.22	1.74
443	Waiters/waitresses assistants	2: Male	136,888	7.21	1.11	3.20	0.77	4.74	0.93	11.29	1.54	2.63	0.72	5.95	1.13	24.15	2.01
443	Waiters/waitresses assistants	3: Female	127,851	10.58	1.45	7.09	1.24	7.19	1.22	23.34	2.05	4.44	0.93	9.29	1.42	38.79	2.29
443	Waiters/waitresses assistants	4: White	198,354	8.66	1.16	5.41	0.85	5.50	0.90	18.81	1.56	3.65	0.71	6.65	0.99	31.96	2.00
443	Waiters/waitresses assistants	5: Black	45,895	10.51	2.50	4.76	1.63	8.49	2.33	13.97	2.70	3.99	1.32	13.21	2.92	31.68	3.93
443	Waiters/waitresses assistants	6: Other	20,490	6.88	2.90	2.52	1.53	4.19	2.30	7.91	4.12	1.04	1.04	3.66	2.12	23.04	4.38
443	Waiters/waitresses assistants	7: Hispanic	57,751	7.18	1.85	2.67	0.98	4.74	1.45	13.17	2.31	2.47	1.08	6.37	1.94	22.79	3.64
443	Waiters/waitresses assistants	8: NonHispanic	206,988	9.30	1.07	5.75	0.85	6.25	0.87	18.22	1.62	3.79	0.65	7.89	1.03	33.58	1.84
444	Miscellaneous food preparation occs	1: Total	501,893	9.67	0.74	5.55	0.55	6.25	0.63	20.51	1.05	4.65	0.45	10.06	0.76	38.86	1.36
444	Miscellaneous food preparation occs	2: Male	215,820	9.22	1.18	5.22	0.86	6.24	0.96	12.04	1.19	3.18	0.64	7.79	1.01	32.93	1.88
444	Miscellaneous food preparation occs	3: Female	286,073	10.02	1.04	5.79	0.79	6.25	0.86	26.88	1.58	5.76	0.66	11.78	1.13	43.33	1.70
444	Miscellaneous food preparation occs	4: White	370,694	10.84	0.90	6.23	0.72	6.74	0.79	22.43	1.27	5.63	0.58	9.15	0.83	40.90	1.50
444	Miscellaneous food preparation occs	5: Black	99,163	6.25	1.41	3.03	0.76	4.42	0.96	15.38	1.91	2.49	0.74	13.20	1.64	35.58	3.01
444	Miscellaneous food preparation occs	6: Other	32,036	6.79	2.07	5.38	2.15	6.14	2.15	14.25	2.90	0.00	0.00	11.04	3.35	25.38	4.44
444	Miscellaneous food preparation occs	7: Hispanic	84,834	6.98	1.44	5.22	1.28	4.50	1.10	16.79	2.23	3.45	1.06	8.42	1.64	25.00	2.37
444	Miscellaneous food preparation occs	8: NonHispanic	417,059	10.22	0.83	5.61	0.60	6.60	0.70	21.26	1.26	4.89	0.53	10.40	0.88	41.68	1.54
445	Dental assistants	1: Total	176,208	8.27	1.13	4.86	0.88	5.39	0.90	29.06	1.94	5.29	0.85	2.11	0.59	38.85	1.81
445	Dental assistants	2: Male	2,344	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	19.82	9.80
445	Dental assistants	3: Female	173,864	8.38	1.15	4.93	0.90	5.47	0.92	29.45	1.95	5.36	0.86	2.14	0.60	39.11	1.84
445	Dental assistants	4: White	158,379	8.16	1.16	4.70	0.91	5.19	0.92	28.62	1.91	5.62	0.92	2.13	0.55	39.47	2.01
445	Dental assistants	5: Black	9,318	9.26	5.79	7.92	5.77	5.44	5.28	27.05	8.57	2.49	2.42	3.74	3.67	34.61	8.99
445	Dental assistants	6: Other	8,511	9.10	4.47	4.59	3.17	9.10	4.47	39.39	8.95	2.19	2.19	0.00	0.00	31.86	7.59
445	Dental assistants	7: Hispanic	14,666	6.24	2.82	6.24	2.82	6.24	2.82	24.71	6.08	6.05	3.06	1.50	1.38	41.09	7.10
445	Dental assistants	8: NonHispanic	161,542	8.45	1.20	4.74	0.94	5.32	0.93	29.46	2.09	5.22	0.89	2.16	0.58	38.65	1.94
446	Health aides, except nursing	1: Total	333,037	11.99	0.92	7.67	0.84	8.72	0.78	26.48	1.16	6.38	0.80	6.85	0.76	41.34	1.35
446	Health aides, except nursing	2: Male	51,970	10.12	2.31	4.38	1.63	8.22	2.17	19.77	3.14	3.02	1.58	5.94	1.63	41.38	3.33
446	Health aides, except nursing	3: Female	281,067	12.34	1.05	8.28	0.94	8.81	0.88	27.72	1.35	7.01	0.86	7.02	0.84	41.34	1.50
446	Health aides, except nursing	4: White	257,471	12.61	1.10	8.61	1.01	8.97	0.92	28.24	1.41	6.77	0.98	6.18	0.81	44.21	1.61
446	Health aides, except nursing	5: Black	61,364	10.73	1.76	4.76	1.54	8.59	1.62	22.36	2.38	6.23	1.45	10.93	1.82	34.34	3.12
446	Health aides, except nursing	6: Other	14,202	6.18	2.91	3.23	2.23	4.66	2.55	12.70	4.44	0.00	0.00	1.23	1.21	19.56	5.58
446	Health aides, except nursing	7: Hispanic	28,147	11.28	3.06	7.80	2.13	9.27	2.29	13.05	3.29	3.17	1.55	7.65	2.84	31.88	5.24
446	Health aides, except nursing	8: NonHispanic	304,890	12.06	0.97	7.66	0.88	8.67	0.82	27.72	1.27	6.68	0.85	6.78	0.80	42.22	1.36
447	Nursing aides, orderlies, and attendants	1: Total	1,477,561	13.99	0.52	7.92	0.42	11.07	0.44	28.60	0.66	7.57	0.34	12.12	0.48	44.81	0.73
447	Nursing aides, orderlies, and attendants	2: Male	153,470	14.04	1.85	8.06	1.79	9.96	1.14	18.89	1.75	10.01	1.35	7.24	0.98	39.55	2.22
447	Nursing aides, orderlies, and attendants	3: Female	1,324,091	13.98	0.53	7.91	0.41	11.20	0.46	29.72	0.71	7.29	0.36	12.68	0.53	45.42	0.76
447	Nursing aides, orderlies, and attendants	4: White	961,155	14.68	0.62	8.12	0.56	11.74	0.54	29.64	0.85	7.88	0.41	10.57	0.55	46.75	0.92
447	Nursing aides, orderlies, and attendants	5: Black	458,338	12.92	0.77	7.76	0.66	9.99	0.64	26.13	1.07	7.35	0.65	15.79	0.90	41.88	1.25
447	Nursing aides, orderlies, and attendants	6: Other	58,068	10.91	2.50	5.87	1.72	8.49	2.41	30.73	3.53	4.17	1.16	8.74	1.87	35.81	4.07
447	Nursing aides, orderlies, and attendants	7: Hispanic	114,207	13.37	2.09	8.31	1.58	12.17	1.98	25.67	2.79	6.60	1.59	14.78	1.84	37.51	2.87
447	Nursing aides, orderlies, and attendants	8: NonHispanic	1,363,354	14.04	0.53	7.89	0.43	10.98	0.44	28.84	0.71	7.65	0.34	11.89	0.51	45.42	0.77
448	Supervisors, cleaning and building service workers	1: Total	159,703	8.26	1.23	3.89	0.80	6.62	1.20	20.82	1.95	6.40	0.98	9.48	1.15	40.86	2.20
448	Supervisors, cleaning and building service workers	2: Male	105,146	7.12	1.28	2.52	0.88	5.76	1.24	18.28	2.18	6.75	1.27	6.81	1.18	38.68	2.84
448	Supervisors, cleaning and building service workers	3: Female	54,556	10.44	1.95	6.52	1.48	8.28	1.87	25.70	3.19	5.74	1.45	14.67	2.71	45.07	3.19
448	Supervisors, cleaning and building service workers	4: White	114,658	8.43	1.59	3.84	0.95	6.77	1.57	23.02	2.49	6.90	1.29	8.43	1.32	43.01	2.87
448	Supervisors, cleaning and building service workers	5: Black	38,557	8.46	1.91	4.01	1.47	6.62	1.79	15.60	2.51	5.01	1.64	12.52	2.44	36.00	3.81
448	Supervisors, cleaning and building service workers	6: Other	6,487	3.93	3.90	3.93	3.90	3.93	3.90	12.98	9.72	5.86	5.79	9.80	9.12	31.79	9.29
448	Supervisors, cleaning and building service workers	7: Hispanic	16,618	4.03	2.14	2.96	1.97	2.96	1.97	13.71	4.48	6.52	2.39	10.45	3.13	23.16	4.69
448	Supervisors, cleaning and building service workers	8: NonHispanic	143,085	8.75	1.36	3.99	0.87	7.05	1.32	21.65	2.05	6.39	1.05	9.36	1.19	42.92	2.35
449	Maids and housemen	1: Total	551,376	9.96	0.69	5.76	0.50	7.72	0.59	22.87	1.01	5.13	0.56	12.28	0.72	39.49	1.12
449	Maids and housemen	2: Male	96,994	6.24	1.41	3.11	1.15	5.00	1.28	15.14	2.25	3.94	1.29	7.86	1.30	33.23	2.59
449	Maids and housemen	3: Female	454,381	10.76	0.73	6.33	0.56	8.30	0.63	24.54	1.10	5.38	0.62	13.22	0.85	40.83	1.13
449	Maids and housemen	4: White	354,519	10.57	0.94	6.13	0.72	8.15	0.83	24.49	1.31	5.68	0.74	10.75	0.89	41.20	1.46
449	Maids and housemen	5: Black	163,377	9.60	1.06	5.74	0.80	7.66	0.91	20.28	1.45	4.38	0.91	15.85	1.39	36.98	2.09
449	Maids and housemen	6: Other	33,480	5.34	2.10	2.01	1.03	3.45	1.79	18.47	3.78	3.03	1.62	11.13	3.66	33.64	4.49
449	Maids and housemen	7: Hispanic	92,528	7.86	1.46	5.18	1.21	6.15	1.27	18.55	1.95	2.56	0.81	9.83	1.56	31.67	2.82
449	Maids and housemen	8: NonHispanic	458,848	10.39	0.73	5.88	0.52	8.04	0.62	23.75	1.08	5.65	0.65	12.77	0.79	41.07	1.21
453	Janitors and cleaners	1: Total	2,067,101	9.73	0.34	5.25	0.27	6.99	0.32	21.47	0.54	5.63	0.28	11.63	0.41	40.65	0.55
453	Janitors and cleaners	2: Male	1,409,633	8.17	0.38	4.07	0.31	5.68	0.35	18.65	0.66	5.70	0.36	10.38	0.51	38.26	0.68
453	Janitors and cleaners	3: Female	657,468	13.08	0.71	7.78	0.54	9.81	0.66	27.54	0.87	5.49	0.47	14.29	0.70	45.79	1.08
453	Janitors and cleaners	4: White	1,517,278	10.19	0.41	5.39	0.32	7.10	0.37	22.03	0.61	5.59	0.33	10.50	0.44	42.59	0.64
453	Janitors and cleaners	5: Black	459,686	8.51	0.71	4.95	0.55	6.94	0.71	19.70	0.92	6.02	0.56	15.35	0.92	35.58	1.28
453	Janitors and cleaners	6: Other	90,137	8.26	1.52	4.53	0.99	5.39	0.96	21.11	3.74	4.33	1.43	11.64	1.66	33.97	2.81
453	Janitors and cleaners	7: Hispanic	282,343	8.09	0.81	4.31	0.72	5.47	0.79	17.96	1.07	4.86	0.81	13.89	1.00	29.42	1.63
453	Janitors and cleaners	8: NonHispanic	1,784,758	9.99	0.36	5.40	0.29	7.23	0.34	22.03	0.60	5.75	0.30	11.27	0.43	42.43	0.59
458	Hairdressers and cosmetologists	1: Total	741,546	7.91	0.50	5.25	0.41	5.35	0.41	26.70	0.90	5.32	0.43	6.44	0.52	38.86	0.89
458	Hairdressers and cosmetologists	2: Male	68,233	6.16	1.50	3.99	1.15	4.75	1.39	17.23	2.48	3.27	1.14	5.79	1.62	31.89	2.96
458	Hairdressers and cosmetologists	3: Female	673,312	8.09	0.53	5.38	0.44	5.42	0.44	27.67	0.92	5.53	0.45	6.51	0.56	39.56	0.94
458	Hairdressers and cosmetologists	4: White	648,508	8.00	0.54	5.34	0.44	5.56	0.45	27.62	1.00	5.79	0.49	5.71	0.55	39.17	0.99
458	Hairdressers and cosmetologists	5: Black	60,742	6.84	1.41	3.59	1.09	3.51	0.95	19.91	2.15	2.90	0.94	13.05	2.41	35.74	3.18
458	Hairdressers and cosmetologists	6: Other	32,296	8.00	2.50	6.44	2.28	4.60	2.08	21.11	4.44	0.62	0.62	8.78	3.08	38.41	4.74
458	Hairdressers and cosmetologists	7: Hispanic	51,330	8.06	2.14	5.19	1.50	6.29	2.10	22.82	3.55	5.85	1.78	7.11	2.62	30.57	3.03
458	Hairdressers and cosmetologists	8: NonHispanic	690,216	7.90	0.53	5.25	0.44	5.29	0.45	26.99	0.93	5.28	0.45	6.40	0.52	39.48	0.93
459	Attendants, amusement and recreation facilities	1: Total	120,428	7.75	1.20	5.32	1.16	4.56	0.84	22.48	2.09	4.50	0.92	5.33	1.15	39.72	2.22
459	Attendants, amusement and recreation facilities	2: Male	77,155	5.42	1.16	3.10	1.08	2.79	0.89	18.06	2.21	4.31	1.09	5.52	1.49	36.24	2.85
459	Attendants, amusement and recreation facilities	3: Female	43,272	11.89	2.59	9.26	2.65	7.72	1.70	30.35	3.75	4.83	1.40	4.99	1.47	45.91	4.01
459	Attendants, amusement and recreation facilities	4: White	102,381	5.97	1.10	3.66	0.97	3.86	0.98	23.65	2.23	4.18	0.93	5.40	1.25	42.03	2.33
459	Attendants, amusement and recreation facilities	5: Black	9,840	11.40	3.14	8.10	2.92	6.33	2.98	21.41	6.06	11.54	5.33	9.10	3.94	20.56	6.25
459	Attendants, amusement and recreation facilities	6: Other	8,206	25.48	8.50	22.58	9.04	11.15	6.37	9.11	4.83	0.00	0.00	0.00	0.00	33.77	9.57
459	Attendants, amusement and recreation facilities	7: Hispanic	6,990	13.00	5.15	9.43	5.36	9.68	4.41	29.16	7.68	7.28	4.00	9.98	5.45	32.57	8.49
459	Attendants, amusement and recreation facilities	8: NonHispanic	113,438	7.42	1.26	5.06	1.15	4.25	0.83	22.06	2.08	4.33	0.95	5.04	1.13	40.16	2.28
468	Child care workers	1: Total	855,757	10.37	0.51	6.33	0.40	5.38	0.34	29.85	0.78	5.21	0.41	8.72	0.48	44.93	0.90
468	Child care workers	2: Male	30,500	11.02	2.93	6.22	2.41	5.67	2.28	21.28	3.90	7.47	2.48	8.27	2.53	44.35	4.95
468	Child care workers	3: Female	825,256	10.34	0.54	6.33	0.42	5.37	0.36	30.16	0.80	5.13	0.43	8.74	0.50	44.96	0.90
468	Child care workers	4: White	724,662	9.98	0.57	6.07	0.45	4.91	0.37	29.81	0.90	5.20	0.44	7.37	0.51	45.86	0.96
468	Child care workers	5: Black	110,510	13.49	1.62	8.08	1.27	8.43	1.29	29.97	2.11	5.55	1.03	16.91	1.61	42.71	2.29
468	Child care workers	6: Other	20,585	7.24	3.44	6.00	3.26	5.30	3.40	30.56	4.88	3.94	1.70	12.84	4.42	24.19	5.39
468	Child care workers	7: Hispanic	65,679	9.21	1.74	6.65	1.58	5.64	1.33	28.77	3.49	4.62	1.36	10.63	1.93	35.52	2.64
468	Child care workers	8: NonHispanic	790,077	10.46	0.53	6.30	0.41	5.36	0.35	29.94	0.82	5.26	0.44	8.57	0.51	45.72	0.95
469	Personal service occs, ne.c.	1: Total	222,426	11.48	1.13	6.68	0.90	7.37	0.86	28.01	1.60	5.49	0.76	9.90	1.12	42.58	1.73
469	Personal service occs, ne.c.	2: Male	71,762	7.85	1.51	4.56	1.16	4.58	1.11	22.63	2.92	6.33	1.41	9.11	1.88	38.06	2.98
469	Personal service occs, ne.c.	3: Female	150,664	13.21	1.61	7.70	1.27	8.69	1.25	30.58	2.06	5.10	0.88	10.28	1.32	44.74	2.30
469	Personal service occs, ne.c.	4: White	177,821	12.52	1.35	6.87	1.11	7.60	1.02	29.48	1.88	5.44	0.84	8.93	1.27	44.06	1.90
469	Personal service occs, ne.c.	5: Black	36,056	7.34	1.80	5.62	1.69	6.22	1.73	23.14	3.50	5.83	1.82	14.79	2.66	41.85	4.19
469	Personal service occs, ne.c.	6: Other	8,548	7.30	3.84	7.30	3.84	7.30	3.84	18.02	6.06	5.21	3.41	9.74	6.78	14.94	5.42
469	Personal service occs, ne.c.	7: Hispanic	24,343	10.13	3.02	4.99	2.23	6.76	2.58	26.76	4.63	10.89	3.38	18.15	3.72	32.30	4.81
469	Personal service occs, ne.c.	8: NonHispanic	198,082	11.64	1.20	6.89	0.96	7.44	0.93	28.17	1.76	4.83	0.78	8.91	1.17	43.85	1.81
473	Farmers, except horticultural	1: Total	1,166,644	6.18	0.48	2.66	0.28	3.55	0.33	19.56	0.80	6.99	0.54	8.72	0.73	41.40	1.31
473	Farmers, except horticultural	2: Male	975,641	6.05	0.50	2.49	0.28	3.55	0.35	18.27	0.75	7.46	0.56	8.99	0.76	40.91	1.31
473	Farmers, except horticultural	3: Female	191,002	6.83	0.98	3.49	0.75	3.54	0.66	26.15	1.77	4.58	0.92	7.32	1.05	43.90	2.22
473	Farmers, except horticultural	4: White	1,139,195	6.09	0.47	2.63	0.29	3.52	0.34	19.41	0.82	7.01	0.54	8.53	0.74	41.39	1.34
473	Farmers, except horticultural	5: Black	18,651	10.17	3.10	3.23	1.71	5.98	2.73	18.99	5.98	4.76	2.70	17.67	5.29	42.91	5.96
473	Farmers, except horticultural	6: Other	8,798	9.92	4.52	5.13	3.64	2.39	2.38	39.50	7.59	9.45	4.78	14.08	5.26	39.52	9.00
473	Farmers, except horticultural	7: Hispanic	22,847	8.58	2.72	4.66	2.34	4.71	1.90	14.64	2.99	8.60	4.09	9.48	3.62	30.12	4.72
473	Farmers, except horticultural	8: NonHispanic	1,143,797	6.13	0.48	2.62	0.28	3.53	0.33	19.66	0.82	6.96	0.54	8.70	0.74	41.62	1.34
475	Managers, farms, except horticultural	1: Total	167,631	7.40	1.01	4.15	0.83	4.63	0.86	16.32	1.20	7.15	1.09	7.70	1.07	36.64	2.15
475	Managers, farms, except horticultural	2: Male	139,372	6.22	1.05	2.84	0.84	3.60	0.83	15.63	1.38	7.70	1.27	8.25	1.15	34.47	2.52
475	Managers, farms, except horticultural	3: Female	28,260	13.18	3.13	10.62	2.89	9.71	2.66	19.74	3.50	4.44	1.76	5.00	1.81	47.33	4.22
475	Managers, farms, except horticultural	4: White	161,151	7.55	1.05	4.18	0.87	4.82	0.90	16.53	1.22	7.17	1.11	7.33	1.06	37.12	2.17
475	Managers, farms, except horticultural	5: Black	4,473	0.00	0.00	0.00	0.00	0.00	0.00	11.14	7.14	4.47	4.51	19.17	13.23	10.84	7.59
475	Managers, farms, except horticultural	6: Other	2,007	11.27	10.97	11.27	10.97	0.00	0.00	11.55	11.22	11.55	11.22	11.55	11.22	54.86	16.44
475	Managers, farms, except horticultural	7: Hispanic	12,531	1.91	2.01	1.91	2.01	1.91	2.01	5.44	4.16	3.56	2.63	0.00	0.00	18.64	6.66
475	Managers, farms, except horticultural	8: NonHispanic	155,100	7.84	1.07	4.33	0.90	4.85	0.93	17.20	1.30	7.44	1.15	8.31	1.13	38.09	2.24
479	Farm workers	1: Total	686,987	5.61	0.48	2.80	0.39	4.09	0.41	13.53	0.77	5.24	0.48	9.64	0.72	30.38	1.20
479	Farm workers	2: Male	544,374	5.31	0.54	2.57	0.42	3.75	0.44	11.13	0.79	5.30	0.55	9.81	0.79	28.76	1.37
479	Farm workers	3: Female	142,613	6.75	1.08	3.69	0.78	5.39	1.00	22.69	1.58	5.02	0.72	9.02	1.53	36.58	1.92
479	Farm workers	4: White	626,954	5.34	0.47	2.78	0.38	3.77	0.39	13.39	0.80	5.26	0.51	8.75	0.69	30.65	1.30
479	Farm workers	5: Black	50,321	8.78	1.52	3.67	1.44	8.03	1.49	13.82	2.08	4.38	1.03	21.13	2.51	27.02	2.77
479	Farm workers	6: Other	9,712	6.54	4.50	0.00	0.00	4.15	4.00	21.32	7.05	8.47	4.94	8.90	4.37	30.41	7.09
479	Farm workers	7: Hispanic	198,614	3.02	0.66	1.66	0.63	2.44	0.57	6.74	0.93	2.97	0.82	7.98	1.07	15.61	1.41
479	Farm workers	8: NonHispanic	488,373	6.66	0.58	3.27	0.47	4.76	0.53	16.30	0.80	6.16	0.56	10.32	0.85	36.39	1.17
485	Supervisors, related agricultural occs	1: Total	100,868	7.14	1.39	3.05	0.94	4.84	1.09	16.26	1.90	3.58	0.94	5.07	1.10	31.78	2.38
485	Supervisors, related agricultural occs	2: Male	92,700	6.57	1.41	3.10	1.00	4.80	1.13	15.89	1.96	3.68	1.01	5.05	1.14	30.92	2.52
485	Supervisors, related agricultural occs	3: Female	8,168	13.61	5.80	2.48	2.46	5.31	3.68	20.53	7.36	2.43	2.41	5.25	3.65	41.50	8.41
485	Supervisors, related agricultural occs	4: White	90,024	6.52	1.42	2.62	0.88	4.19	1.02	15.00	1.98	2.95	0.82	4.71	1.09	29.63	2.50
485	Supervisors, related agricultural occs	5: Black	8,543	8.36	6.08	8.36	6.08	8.36	6.08	24.54	7.74	3.89	2.74	10.20	6.29	45.33	10.28
485	Supervisors, related agricultural occs	6: Other	2,301	26.86	16.01	0.00	0.00	17.27	15.31	35.07	16.53	26.86	16.01	0.00	0.00	65.47	16.24
485	Supervisors, related agricultural occs	7: Hispanic	11,614	2.39	2.40	0.00	0.00	0.00	0.00	12.19	4.55	4.41	3.07	3.86	2.48	22.64	7.56
485	Supervisors, related agricultural occs	8: NonHispanic	89,254	7.76	1.53	3.44	1.06	5.47	1.22	16.80	2.07	3.47	1.01	5.22	1.21	32.97	2.47
486	Groundskeepers and gardeners, except farm	1: Total	632,818	7.12	0.54	3.64	0.35	5.38	0.48	14.52	0.75	3.99	0.46	8.93	0.69	32.97	1.14
486	Groundskeepers and gardeners, except farm	2: Male	588,437	7.27	0.57	3.76	0.37	5.64	0.51	13.82	0.76	4.07	0.49	9.06	0.72	32.02	1.16
486	Groundskeepers and gardeners, except farm	3: Female	44,381	5.07	1.67	2.05	1.21	1.94	1.16	23.79	3.13	2.92	1.38	7.12	2.08	45.55	3.96
486	Groundskeepers and gardeners, except farm	4: White	525,323	6.69	0.58	3.21	0.35	4.98	0.51	14.64	0.88	3.86	0.49	7.77	0.71	33.03	1.28
486	Groundskeepers and gardeners, except farm	5: Black	87,800	9.47	1.68	5.46	1.22	7.69	1.59	12.53	1.93	4.93	1.52	16.09	2.17	32.70	2.68
486	Groundskeepers and gardeners, except farm	6: Other	19,695	7.91	3.07	6.77	3.01	5.83	2.36	20.25	3.81	3.41	2.00	7.86	3.68	32.65	5.00
486	Groundskeepers and gardeners, except farm	7: Hispanic	117,128	3.92	1.07	1.99	0.60	3.35	1.01	7.44	1.63	2.77	1.05	8.77	1.74	15.73	1.82
486	Groundskeepers and gardeners, except farm	8: NonHispanic	515,690	7.84	0.58	4.01	0.40	5.84	0.53	16.13	0.81	4.27	0.50	8.96	0.74	36.88	1.24
496	Timber cutting and logging occs	1: Total	104,819	7.77	1.41	4.95	1.03	6.27	1.33	13.93	1.68	3.37	0.86	10.68	1.88	36.06	2.77
496	Timber cutting and logging occs	2: Male	101,439	7.76	1.45	4.84	1.04	6.48	1.37	13.80	1.67	3.27	0.85	10.82	1.87	36.16	2.83
496	Timber cutting and logging occs	3: Female	3,379	8.04	7.76	8.04	7.76	0.00	0.00	17.88	10.46	6.29	6.31	6.29	6.31	33.05	12.97
496	Timber cutting and logging occs	4: White	89,520	7.58	1.19	4.61	0.91	5.82	1.17	13.78	1.81	2.90	0.79	7.98	1.66	36.15	2.56
496	Timber cutting and logging occs	5: Black	14,842	9.17	4.97	7.10	5.00	9.17	4.97	15.26	4.66	6.30	3.83	27.26	6.52	36.63	9.52
496	Timber cutting and logging occs	6: Other	456	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00
496	Timber cutting and logging occs	7: Hispanic	2,739	0.00	0.00	0.00	0.00	0.00	0.00	7.95	7.27	0.00	0.00	15.22	9.83	15.37	9.92
496	Timber cutting and logging occs	8: NonHispanic	102,079	7.98	1.45	5.08	1.06	6.44	1.36	14.09	1.67	3.46	0.89	10.56	1.88	36.62	2.78
503	Supervisors, mechanics and repairers	1: Total	282,895	7.28	0.78	4.44	0.63	4.63	0.61	19.36	1.18	5.10	0.66	5.35	0.77	39.75	1.52
503	Supervisors, mechanics and repairers	2: Male	265,131	7.46	0.84	4.65	0.66	4.77	0.64	18.54	1.22	5.26	0.68	5.30	0.76	39.89	1.58
503	Supervisors, mechanics and repairers	3: Female	17,764	4.60	2.10	1.25	1.25	2.43	1.46	31.49	5.75	2.66	1.87	6.08	2.93	37.61	5.70
503	Supervisors, mechanics and repairers	4: White	261,524	7.56	0.82	4.48	0.65	4.69	0.63	19.64	1.27	4.99	0.70	5.12	0.78	40.31	1.59
503	Supervisors, mechanics and repairers	5: Black	14,507	1.01	0.99	1.01	0.99	1.01	0.99	9.07	3.16	4.98	2.63	4.31	2.73	27.81	4.83
503	Supervisors, mechanics and repairers	6: Other	6,865	10.00	7.02	10.00	7.02	10.00	7.02	30.35	8.75	9.58	6.68	16.00	8.97	43.65	8.18
503	Supervisors, mechanics and repairers	7: Hispanic	12,316	3.57	2.55	3.57	2.55	3.57	2.55	17.51	5.84	1.80	1.81	12.90	5.57	44.80	6.40
503	Supervisors, mechanics and repairers	8: NonHispanic	270,579	7.45	0.81	4.48	0.64	4.67	0.62	19.44	1.23	5.25	0.69	5.00	0.74	39.52	1.53
505	Automobile mechanics	1: Total	924,831	7.80	0.49	4.61	0.41	5.30	0.42	14.55	0.62	4.26	0.37	7.00	0.50	34.17	0.86
505	Automobile mechanics	2: Male	911,752	7.69	0.49	4.56	0.40	5.26	0.42	14.34	0.62	4.30	0.38	7.08	0.51	34.00	0.86
505	Automobile mechanics	3: Female	13,079	15.48	5.47	8.13	4.16	8.46	4.30	29.33	6.77	1.77	1.76	1.53	1.52	46.44	7.79
505	Automobile mechanics	4: White	823,872	7.79	0.56	4.69	0.46	5.37	0.47	15.10	0.69	4.35	0.40	6.76	0.53	34.60	0.93
505	Automobile mechanics	5: Black	74,283	8.41	1.55	3.70	0.91	4.79	1.15	9.52	1.65	4.54	0.96	8.13	1.41	32.95	2.44
505	Automobile mechanics	6: Other	26,676	6.53	1.75	4.56	1.13	4.56	1.13	11.51	2.88	0.93	0.94	11.21	3.55	24.36	4.40
505	Automobile mechanics	7: Hispanic	84,143	6.63	1.33	3.08	0.99	3.98	1.23	12.59	1.62	2.48	0.90	6.99	1.50	23.57	2.12
505	Automobile mechanics	8: NonHispanic	840,688	7.92	0.52	4.76	0.44	5.43	0.44	14.75	0.67	4.44	0.38	7.00	0.52	35.24	0.90
507	Bus, truck, and stationary engine mechanics	1: Total	312,281	7.69	0.74	3.60	0.56	5.54	0.62	17.60	1.13	6.88	0.78	8.67	0.76	36.19	1.39
507	Bus, truck, and stationary engine mechanics	2: Male	309,444	7.50	0.73	3.64	0.57	5.42	0.62	17.35	1.13	6.86	0.78	8.68	0.76	35.87	1.40
507	Bus, truck, and stationary engine mechanics	3: Female	2,837	27.77	13.34	0.00	0.00	18.58	11.79	44.23	14.23	9.19	8.70	7.77	7.47	70.76	13.36
507	Bus, truck, and stationary engine mechanics	4: White	279,594	7.86	0.78	3.57	0.57	5.82	0.67	17.62	1.16	7.18	0.84	9.19	0.85	36.91	1.47
507	Bus, truck, and stationary engine mechanics	5: Black	26,549	6.71	3.07	4.77	2.88	3.92	1.55	16.87	3.54	5.39	2.43	5.16	1.85	30.72	4.32
507	Bus, truck, and stationary engine mechanics	6: Other	6,137	4.00	3.98	0.00	0.00	0.00	0.00	19.42	12.13	0.00	0.00	0.00	0.00	26.90	12.65
507	Bus, truck, and stationary engine mechanics	7: Hispanic	21,696	9.80	3.22	6.37	2.82	7.78	3.06	28.59	5.61	7.87	3.20	7.65	2.73	32.76	5.06
507	Bus, truck, and stationary engine mechanics	8: NonHispanic	290,585	7.53	0.78	3.40	0.58	5.38	0.65	16.77	1.18	6.81	0.81	8.74	0.82	36.44	1.48
508	Aircraft engine mechanics	1: Total	139,849	10.49	1.63	5.72	1.16	8.21	1.46	19.63	2.01	6.07	1.11	2.99	0.67	35.28	2.20
508	Aircraft engine mechanics	2: Male	136,446	10.25	1.52	5.70	1.11	8.26	1.43	19.70	2.10	6.22	1.14	3.07	0.69	35.05	2.20
508	Aircraft engine mechanics	3: Female	3,403	20.01	13.06	6.56	6.42	6.56	6.42	16.69	11.91	0.00	0.00	0.00	0.00	44.62	14.29
508	Aircraft engine mechanics	4: White	119,200	10.41	1.67	5.06	1.02	7.98	1.48	19.49	2.09	6.39	1.26	2.49	0.70	36.62	2.47
508	Aircraft engine mechanics	5: Black	13,166	14.96	6.98	14.96	6.98	14.96	6.98	26.02	8.54	6.62	3.37	5.84	2.84	33.55	7.33
508	Aircraft engine mechanics	6: Other	7,483	3.78	3.74	0.00	0.00	0.00	0.00	10.61	6.01	0.00	0.00	5.92	4.15	16.95	6.90
508	Aircraft engine mechanics	7: Hispanic	16,273	10.68	4.58	7.99	3.44	6.70	3.49	6.69	3.59	3.59	2.44	5.76	2.65	35.07	6.14
508	Aircraft engine mechanics	8: NonHispanic	123,576	10.46	1.56	5.42	1.14	8.41	1.49	21.34	2.23	6.40	1.21	2.63	0.66	35.31	2.27
514	Automobile body and related repairers	1: Total	194,183	7.39	1.08	4.25	0.90	5.02	0.82	11.48	1.21	4.94	0.92	6.20	0.98	28.71	1.82
514	Automobile body and related repairers	2: Male	190,848	7.30	1.11	4.21	0.92	4.89	0.84	11.39	1.22	4.91	0.93	6.31	0.99	28.54	1.85
514	Automobile body and related repairers	3: Female	3,336	12.52	8.70	6.17	6.06	12.52	8.70	17.03	11.38	6.35	6.35	0.00	0.00	38.26	12.37
514	Automobile body and related repairers	4: White	180,530	7.39	1.14	4.35	0.95	4.85	0.86	11.84	1.29	5.05	0.96	6.00	1.01	29.44	1.93
514	Automobile body and related repairers	5: Black	9,605	6.33	3.92	0.00	0.00	6.33	3.92	7.38	4.28	0.00	0.00	8.11	5.45	20.51	7.12
514	Automobile body and related repairers	6: Other	4,048	9.70	9.14	9.70	9.14	9.70	9.14	5.28	5.50	11.56	7.93	10.73	7.58	15.41	9.86
514	Automobile body and related repairers	7: Hispanic	18,112	2.71	1.91	2.71	1.91	2.71	1.91	5.54	2.66	1.22	1.19	4.16	1.36	15.85	4.05
514	Automobile body and related repairers	8: NonHispanic	176,071	7.87	1.18	4.40	0.98	5.26	0.89	12.10	1.28	5.32	1.00	6.41	1.06	30.03	1.95
516	Heavy equipment mechanics	1: Total	162,026	6.22	1.07	3.38	0.89	4.58	1.00	18.31	1.68	7.18	1.16	6.61	1.26	38.03	2.34
516	Heavy equipment mechanics	2: Male	160,399	5.99	1.06	3.13	0.88	4.47	0.99	18.05	1.69	7.25	1.17	6.54	1.25	37.98	2.33
516	Heavy equipment mechanics	3: Female	1,627	28.56	18.06	28.56	18.06	15.23	14.29	43.44	20.76	0.00	0.00	13.33	12.77	43.44	20.76
516	Heavy equipment mechanics	4: White	148,046	6.39	1.13	3.56	0.97	4.59	1.05	18.61	1.75	7.27	1.21	6.62	1.30	38.12	2.29
516	Heavy equipment mechanics	5: Black	10,117	4.04	3.96	0.00	0.00	4.04	3.96	15.54	6.05	8.63	4.03	3.60	2.56	28.11	7.66
516	Heavy equipment mechanics	6: Other	3,863	5.40	5.49	5.40	5.49	5.40	5.49	13.92	12.93	0.00	0.00	13.92	12.93	60.78	17.92
516	Heavy equipment mechanics	7: Hispanic	9,945	13.08	10.02	10.98	10.01	13.08	10.02	26.94	10.09	13.31	10.04	13.91	6.89	49.30	8.42
516	Heavy equipment mechanics	8: NonHispanic	152,082	5.77	0.96	2.89	0.69	4.02	0.81	17.74	1.61	6.78	1.21	6.13	1.25	37.30	2.38
518	Industrial machinery repairers	1: Total	423,173	7.48	0.67	3.59	0.46	5.78	0.62	17.19	0.89	5.67	0.61	6.33	0.63	37.39	1.19
518	Industrial machinery repairers	2: Male	407,439	7.54	0.69	3.63	0.47	5.78	0.64	16.82	0.89	5.62	0.62	6.32	0.63	37.83	1.20
518	Industrial machinery repairers	3: Female	15,734	5.83	2.72	2.55	1.81	5.83	2.72	26.79	5.68	6.86	3.50	6.76	3.70	26.16	5.21
518	Industrial machinery repairers	4: White	378,313	8.14	0.71	3.88	0.50	6.24	0.66	17.47	0.93	5.99	0.63	5.92	0.61	38.19	1.24
518	Industrial machinery repairers	5: Black	35,436	2.41	1.31	1.50	0.87	2.41	1.31	14.03	3.02	2.56	1.33	9.52	2.33	29.18	4.35
518	Industrial machinery repairers	6: Other	9,424	0.00	0.00	0.00	0.00	0.00	0.00	17.63	6.33	4.54	4.42	10.77	6.24	36.19	8.25
518	Industrial machinery repairers	7: Hispanic	29,582	5.74	2.30	5.52	2.31	5.74	2.30	9.31	2.66	3.06	1.42	2.37	1.55	27.41	5.33
518	Industrial machinery repairers	8: NonHispanic	393,591	7.61	0.68	3.45	0.45	5.79	0.61	17.78	0.94	5.87	0.65	6.63	0.68	38.15	1.19
523	Electronic repairers, communication/industrial equipment	1: Total	169,027	7.87	1.18	3.98	0.89	5.08	0.96	16.13	1.60	3.44	0.80	3.63	0.67	33.62	1.92
523	Electronic repairers, communication/industrial equipment	2: Male	153,324	7.91	1.24	4.08	0.97	5.08	1.04	15.30	1.64	3.33	0.82	3.81	0.71	32.11	2.04
523	Electronic repairers, communication/industrial equipment	3: Female	15,702	7.45	3.07	3.06	2.17	5.01	2.57	24.46	5.71	4.53	2.46	1.88	1.52	48.32	6.30
523	Electronic repairers, communication/industrial equipment	4: White	142,679	7.69	1.32	3.68	0.94	4.81	1.05	16.09	1.69	3.27	0.88	3.35	0.69	35.18	2.21
523	Electronic repairers, communication/industrial equipment	5: Black	21,472	10.86	3.82	6.88	3.07	7.98	3.12	15.06	4.18	5.35	2.66	5.20	2.76	28.82	5.25
523	Electronic repairers, communication/industrial equipment	6: Other	4,875	0.00	0.00	0.00	0.00	0.00	0.00	21.83	10.29	0.00	0.00	5.00	4.91	9.18	6.30
523	Electronic repairers, communication/industrial equipment	7: Hispanic	13,124	12.93	5.78	3.77	3.69	5.53	4.09	21.49	6.21	3.61	3.51	5.20	2.86	34.51	6.91
523	Electronic repairers, communication/industrial equipment	8: NonHispanic	155,903	7.44	1.23	4.00	0.92	5.04	1.00	15.68	1.67	3.43	0.82	3.50	0.71	33.55	1.99
529	Telephone installers and repairers	1: Total	162,838	6.38	0.96	3.99	0.73	5.04	0.89	17.91	1.50	4.08	0.83	3.57	0.80	36.72	2.09
529	Telephone installers and repairers	2: Male	144,286	6.22	0.98	3.66	0.69	4.93	0.91	15.85	1.54	3.75	0.85	2.83	0.71	36.23	2.21
529	Telephone installers and repairers	3: Female	18,552	7.68	2.85	6.57	2.67	5.86	2.56	33.81	5.25	6.67	2.57	9.32	3.57	40.55	5.59
529	Telephone installers and repairers	4: White	144,681	6.64	1.02	3.95	0.77	5.21	0.95	18.05	1.55	4.16	0.88	3.41	0.86	37.68	2.14
529	Telephone installers and repairers	5: Black	15,049	2.42	1.79	2.42	1.79	1.57	1.56	16.13	5.19	4.20	2.56	4.51	2.43	27.84	6.73
529	Telephone installers and repairers	6: Other	3,108	13.76	9.55	13.76	9.55	13.76	9.55	20.02	11.19	0.00	0.00	6.26	6.17	35.18	13.05
529	Telephone installers and repairers	7: Hispanic	12,142	2.00	2.07	2.00	2.07	2.00	2.07	8.88	4.19	0.00	0.00	0.00	0.00	23.10	6.09
529	Telephone installers and repairers	8: NonHispanic	150,696	6.74	0.99	4.15	0.76	5.28	0.91	18.64	1.62	4.41	0.90	3.86	0.86	37.82	2.28
534	Heating air conditioning, and refrigeration mechanics	1: Total	225,091	9.54	1.03	4.65	0.79	6.82	0.93	16.48	1.35	5.10	0.87	7.22	1.08	35.37	1.75
534	Heating air conditioning, and refrigeration mechanics	2: Male	224,245	9.49	1.03	4.66	0.80	6.75	0.93	16.35	1.34	5.11	0.87	7.25	1.09	35.32	1.74
534	Heating air conditioning, and refrigeration mechanics	3: Female	846	24.37	21.28	0.00	0.00	24.37	21.28	50.89	25.00	0.00	0.00	0.00	0.00	49.14	25.00
534	Heating air conditioning, and refrigeration mechanics	4: White	208,347	10.00	1.08	5.02	0.85	7.13	0.99	16.72	1.36	4.81	0.91	7.11	1.08	36.16	1.84
534	Heating air conditioning, and refrigeration mechanics	5: Black	11,777	3.70	2.56	0.00	0.00	2.35	2.23	17.28	7.07	12.33	6.45	10.06	5.86	24.64	5.89
534	Heating air conditioning, and refrigeration mechanics	6: Other	4,968	4.28	4.50	0.00	0.00	4.28	4.50	4.28	4.50	0.00	0.00	5.02	4.83	27.60	13.70
534	Heating air conditioning, and refrigeration mechanics	7: Hispanic	15,365	3.18	2.20	3.18	2.20	3.18	2.20	11.07	4.82	4.45	3.13	4.27	2.15	22.88	4.31
534	Heating air conditioning, and refrigeration mechanics	8: NonHispanic	209,727	10.01	1.10	4.75	0.83	7.09	0.99	16.87	1.43	5.14	0.89	7.44	1.14	36.28	1.84
547	Specified mechanics and repairers	1: Total	257,127	9.16	1.02	4.99	0.78	7.05	0.91	19.60	1.31	5.82	0.77	8.58	0.93	39.84	1.67
547	Specified mechanics and repairers	2: Male	242,820	9.23	1.06	5.00	0.79	7.08	0.94	18.97	1.38	5.75	0.75	8.60	0.96	39.36	1.74
547	Specified mechanics and repairers	3: Female	14,307	7.89	3.44	4.79	2.72	6.50	3.17	30.10	6.29	7.06	3.49	8.39	3.53	47.98	7.03
547	Specified mechanics and repairers	4: White	227,503	9.00	1.08	5.18	0.86	6.66	0.92	19.95	1.36	5.68	0.80	8.90	1.01	40.69	1.77
547	Specified mechanics and repairers	5: Black	19,706	14.47	4.37	5.36	2.64	13.92	4.33	16.94	4.24	10.36	3.98	6.81	2.43	34.41	5.78
547	Specified mechanics and repairers	6: Other	9,917	2.21	2.21	0.00	0.00	2.21	2.21	16.73	8.47	0.00	0.00	4.78	3.45	31.14	8.29
547	Specified mechanics and repairers	7: Hispanic	21,620	6.76	2.88	5.79	2.75	6.76	2.88	22.59	4.92	5.02	2.60	10.44	3.53	24.45	5.25
547	Specified mechanics and repairers	8: NonHispanic	235,507	9.38	1.08	4.92	0.81	7.07	0.97	19.32	1.40	5.89	0.78	8.42	0.93	41.25	1.72
549	Not specified mechanics and repairers	1: Total	254,196	8.14	0.90	4.19	0.70	6.40	0.88	18.18	1.28	4.51	0.69	7.00	0.82	36.93	1.63
549	Not specified mechanics and repairers	2: Male	240,104	7.63	0.94	3.91	0.69	6.05	0.90	16.99	1.32	4.61	0.72	6.84	0.83	35.76	1.67
549	Not specified mechanics and repairers	3: Female	14,091	16.89	4.46	8.91	3.56	12.46	4.10	38.47	6.99	2.86	2.03	9.74	3.64	56.93	6.93
549	Not specified mechanics and repairers	4: White	218,993	7.32	0.88	3.61	0.71	5.94	0.82	17.67	1.32	4.83	0.78	6.74	0.88	37.37	1.85
549	Not specified mechanics and repairers	5: Black	29,737	10.23	3.28	3.76	1.78	6.89	2.81	18.66	3.91	2.28	1.19	8.12	2.81	31.86	4.99
549	Not specified mechanics and repairers	6: Other	5,465	29.65	10.31	29.65	10.31	22.33	11.29	36.12	12.03	3.70	3.67	11.09	6.28	46.96	12.36
549	Not specified mechanics and repairers	7: Hispanic	20,810	16.50	4.13	9.97	3.79	13.54	3.86	17.70	4.15	4.66	2.17	11.17	4.54	35.58	5.85
549	Not specified mechanics and repairers	8: NonHispanic	233,386	7.40	0.93	3.67	0.68	5.76	0.88	18.23	1.36	4.50	0.73	6.63	0.82	37.05	1.69
558	Supervisors, construction	1: Total	509,017	6.51	0.65	3.56	0.50	4.43	0.56	15.56	0.89	4.80	0.51	5.62	0.59	36.52	1.11
558	Supervisors, construction	2: Male	501,602	6.43	0.64	3.52	0.49	4.35	0.54	15.41	0.89	4.83	0.52	5.60	0.60	36.31	1.12
558	Supervisors, construction	3: Female	7,415	12.24	5.89	6.18	4.33	9.35	5.27	26.24	8.10	2.70	2.69	6.95	4.74	50.35	9.14
558	Supervisors, construction	4: White	477,148	6.46	0.67	3.62	0.53	4.32	0.57	15.38	0.87	4.99	0.55	5.32	0.61	37.12	1.16
558	Supervisors, construction	5: Black	23,959	5.11	2.48	1.72	1.70	3.39	2.13	13.07	3.55	1.75	1.25	6.06	2.20	26.74	5.46
558	Supervisors, construction	6: Other	7,909	14.18	6.28	5.10	3.60	14.18	6.28	34.16	10.79	2.68	2.59	22.20	8.44	29.54	8.08
558	Supervisors, construction	7: Hispanic	33,067	6.74	2.15	6.12	2.09	4.06	1.58	10.02	2.67	4.42	2.14	8.31	4.76	30.59	4.76
558	Supervisors, construction	8: NonHispanic	475,950	6.50	0.66	3.38	0.50	4.45	0.56	15.95	0.90	4.83	0.52	5.43	0.56	36.93	1.15
563	Brickmasons and stonemasons	1: Total	179,883	6.78	1.06	2.81	0.73	4.91	0.94	13.60	1.39	5.01	0.76	6.49	0.98	32.45	1.86
563	Brickmasons and stonemasons	2: Male	178,943	6.82	1.07	2.83	0.73	4.94	0.94	13.49	1.41	5.03	0.76	6.34	0.98	32.44	1.87
563	Brickmasons and stonemasons	3: Female	940	0.00	0.00	0.00	0.00	0.00	0.00	35.24	26.42	0.00	0.00	35.24	26.42	35.24	26.42
563	Brickmasons and stonemasons	4: White	151,238	6.87	1.17	2.83	0.75	5.30	1.03	12.64	1.46	4.92	0.82	5.38	0.96	33.61	2.07
563	Brickmasons and stonemasons	5: Black	25,281	3.56	1.42	1.45	1.03	1.33	0.98	20.05	4.75	6.20	2.53	11.98	2.73	23.40	3.69
563	Brickmasons and stonemasons	6: Other	3,363	27.08	14.32	12.56	11.57	14.52	10.13	8.19	8.12	0.00	0.00	15.47	13.76	48.35	16.45
563	Brickmasons and stonemasons	7: Hispanic	15,571	5.80	3.13	2.58	1.83	5.80	3.13	10.04	3.98	1.35	1.33	7.09	3.25	14.59	4.31
563	Brickmasons and stonemasons	8: NonHispanic	164,312	6.87	1.11	2.84	0.78	4.83	0.96	13.94	1.45	5.35	0.84	6.43	1.03	34.15	1.96
567	Carpenters	1: Total	1,336,839	7.69	0.43	3.91	0.32	5.89	0.35	14.22	0.54	4.04	0.29	5.61	0.35	32.81	0.73
567	Carpenters	2: Male	1,320,133	7.69	0.43	3.87	0.32	5.88	0.35	14.18	0.54	4.07	0.29	5.61	0.35	32.75	0.73
567	Carpenters	3: Female	16,705	7.13	3.68	7.13	3.68	5.98	3.52	17.57	5.68	1.61	1.59	5.84	2.85	37.54	6.32
567	Carpenters	4: White	1,234,330	7.73	0.45	3.89	0.33	5.84	0.37	14.33	0.55	3.94	0.29	5.57	0.36	33.28	0.76
567	Carpenters	5: Black	75,647	6.39	1.55	3.42	1.08	5.67	1.48	11.12	2.28	3.91	1.16	6.10	1.76	23.97	2.96
567	Carpenters	6: Other	26,862	9.58	4.28	6.52	3.91	8.69	4.20	17.80	5.10	9.34	3.29	6.16	2.59	36.17	6.65
567	Carpenters	7: Hispanic	102,190	6.31	1.18	2.78	0.82	5.41	1.03	10.84	1.76	2.85	0.87	8.36	1.42	21.12	2.05
567	Carpenters	8: NonHispanic	1,234,649	7.80	0.45	4.01	0.33	5.93	0.38	14.50	0.57	4.14	0.31	5.38	0.36	33.78	0.77
573	Drywall installers	1: Total	137,655	7.61	1.29	3.66	0.88	5.93	1.20	10.51	1.42	2.76	0.69	7.37	1.30	29.28	1.99
573	Drywall installers	2: Male	134,036	7.49	1.31	3.60	0.90	5.93	1.22	10.18	1.43	2.67	0.70	7.57	1.34	29.27	2.02
573	Drywall installers	3: Female	3,619	12.20	8.15	5.94	5.79	5.94	5.79	22.60	10.27	6.05	5.89	0.00	0.00	29.80	11.53
573	Drywall installers	4: White	123,513	7.89	1.40	3.77	0.96	6.17	1.29	10.08	1.40	3.08	0.77	7.58	1.37	29.41	2.03
573	Drywall installers	5: Black	9,959	7.43	3.93	3.81	2.94	5.45	3.68	7.62	4.79	0.00	0.00	5.50	3.47	29.81	8.42
573	Drywall installers	6: Other	4,183	0.00	0.00	0.00	0.00	0.00	0.00	29.88	16.94	0.00	0.00	5.73	5.68	24.32	15.54
573	Drywall installers	7: Hispanic	23,712	6.78	3.06	3.81	2.06	5.88	2.94	3.73	1.92	0.91	0.92	5.22	2.58	11.82	4.49
573	Drywall installers	8: NonHispanic	113,944	7.79	1.50	3.63	1.03	5.94	1.38	11.92	1.61	3.15	0.79	7.83	1.39	32.91	2.36
575	Electricians	1: Total	626,998	7.63	0.52	3.96	0.42	5.39	0.44	15.91	0.85	4.19	0.44	5.03	0.49	35.24	1.04
575	Electricians	2: Male	615,184	7.40	0.53	3.96	0.42	5.25	0.45	15.49	0.88	4.10	0.45	4.87	0.49	34.80	1.05
575	Electricians	3: Female	11,815	19.89	6.02	4.13	2.97	12.52	5.06	37.23	6.45	8.85	3.86	13.14	4.85	58.38	7.20
575	Electricians	4: White	574,256	7.51	0.54	3.88	0.44	5.18	0.46	16.02	0.84	3.99	0.47	4.89	0.52	35.95	1.11
575	Electricians	5: Black	33,466	10.06	2.44	5.51	2.01	9.36	2.44	15.03	2.94	7.08	2.10	7.68	2.14	26.98	3.42
575	Electricians	6: Other	19,276	7.16	3.01	3.88	2.54	4.87	2.07	14.06	4.71	4.99	3.26	4.76	2.12	28.56	5.24
575	Electricians	7: Hispanic	40,665	6.70	2.49	4.57	2.24	4.88	2.25	15.78	3.29	5.23	2.07	7.66	2.25	30.20	4.61
575	Electricians	8: NonHispanic	586,333	7.70	0.54	3.92	0.42	5.42	0.44	15.91	0.88	4.12	0.45	4.85	0.51	35.59	1.15
579	Painters, construction and maintenance	1: Total	495,214	7.39	0.66	3.90	0.47	5.37	0.57	12.25	0.80	4.24	0.50	7.86	0.78	32.15	1.22
579	Painters, construction and maintenance	2: Male	461,048	7.41	0.69	3.92	0.50	5.45	0.61	11.78	0.80	4.25	0.50	7.88	0.79	31.63	1.27
579	Painters, construction and maintenance	3: Female	34,166	7.08	2.25	3.63	1.56	4.29	1.68	18.62	3.79	4.12	1.97	7.49	2.65	39.11	4.93
579	Painters, construction and maintenance	4: White	439,798	7.62	0.72	4.22	0.53	5.56	0.64	12.44	0.87	4.34	0.53	7.62	0.83	33.11	1.27
579	Painters, construction and maintenance	5: Black	43,566	7.06	1.93	1.75	0.90	4.94	1.57	9.46	2.28	3.49	1.46	11.92	2.46	23.52	3.20
579	Painters, construction and maintenance	6: Other	11,850	0.00	0.00	0.00	0.00	0.00	0.00	15.66	4.57	3.28	2.76	1.63	1.66	28.17	11.97
579	Painters, construction and maintenance	7: Hispanic	70,062	6.56	1.55	2.90	0.76	4.78	1.42	5.22	1.22	3.95	1.26	11.54	2.74	23.59	3.04
579	Painters, construction and maintenance	8: NonHispanic	425,152	7.52	0.71	4.07	0.54	5.47	0.60	13.41	0.88	4.29	0.52	7.25	0.74	33.56	1.29
585	Plumbers, pipefitters, and steamfitters	1: Total	419,839	8.07	0.72	3.41	0.47	5.63	0.57	16.20	0.90	4.77	0.55	6.11	0.69	33.01	1.21
585	Plumbers, pipefitters, and steamfitters	2: Male	414,524	7.82	0.71	3.35	0.48	5.44	0.56	16.20	0.91	4.83	0.56	6.13	0.71	32.86	1.22
585	Plumbers, pipefitters, and steamfitters	3: Female	5,314	28.17	9.16	7.69	5.32	20.14	9.28	16.22	9.01	0.00	0.00	4.36	4.09	44.31	10.27
585	Plumbers, pipefitters, and steamfitters	4: White	380,160	8.21	0.75	3.58	0.51	5.75	0.62	16.57	0.98	4.91	0.57	5.85	0.75	34.06	1.32
585	Plumbers, pipefitters, and steamfitters	5: Black	32,057	6.17	2.03	2.22	0.97	4.17	1.82	12.85	3.26	2.92	1.92	8.36	2.14	22.64	3.31
585	Plumbers, pipefitters, and steamfitters	6: Other	7,622	9.48	5.65	0.00	0.00	5.96	4.22	11.87	5.44	5.68	4.64	10.02	5.81	24.03	10.11
585	Plumbers, pipefitters, and steamfitters	7: Hispanic	30,643	5.45	2.60	2.24	1.59	4.72	2.55	15.11	3.67	1.82	1.32	6.39	2.55	20.95	4.26
585	Plumbers, pipefitters, and steamfitters	8: NonHispanic	389,196	8.28	0.72	3.50	0.45	5.70	0.56	16.29	0.94	5.00	0.60	6.09	0.72	33.95	1.31
595	Roofers	1: Total	158,847	7.44	1.15	4.21	0.89	5.80	0.98	10.98	1.36	4.66	0.89	9.72	1.41	30.03	2.13
595	Roofers	2: Male	156,840	7.26	1.11	4.26	0.90	5.87	0.99	10.85	1.38	4.72	0.90	9.57	1.41	30.05	2.12
595	Roofers	3: Female	2,007	21.50	18.08	0.00	0.00	0.00	0.00	21.50	18.08	0.00	0.00	21.50	18.08	28.70	18.22
595	Roofers	4: White	139,456	7.57	1.20	4.39	1.00	5.71	0.99	11.39	1.48	4.80	0.98	10.05	1.58	30.83	2.22
595	Roofers	5: Black	14,822	8.44	4.60	3.80	1.84	8.44	4.60	5.52	2.72	4.71	2.58	6.14	2.67	23.61	6.31
595	Roofers	6: Other	4,569	0.00	0.00	0.00	0.00	0.00	0.00	16.36	9.49	0.00	0.00	11.49	8.06	26.57	11.07
595	Roofers	7: Hispanic	22,136	5.39	2.20	2.95	1.66	4.32	2.07	8.36	3.17	3.57	1.94	12.09	3.87	22.81	5.51
595	Roofers	8: NonHispanic	136,711	7.77	1.27	4.41	0.98	6.04	1.05	11.41	1.54	4.83	1.01	9.34	1.45	31.20	2.33
599	Construction trades, nec.	1: Total	169,750	9.38	1.28	6.28	1.15	6.80	1.09	17.46	1.50	3.99	0.78	6.74	1.10	35.06	2.37
599	Construction trades, nec.	2: Male	167,215	9.18	1.28	6.03	1.16	6.55	1.08	17.01	1.49	4.05	0.79	6.51	1.10	35.12	2.38
599	Construction trades, nec.	3: Female	2,535	23.15	14.80	23.15	14.80	23.15	14.80	47.16	16.88	0.00	0.00	21.87	13.99	31.25	15.76
599	Construction trades, nec.	4: White	149,659	9.25	1.40	6.97	1.31	6.77	1.16	17.55	1.67	3.92	0.84	6.35	1.20	34.65	2.56
599	Construction trades, nec.	5: Black	17,411	11.26	4.76	1.32	1.33	8.07	4.14	14.42	4.35	3.95	2.31	10.41	3.59	36.84	5.49
599	Construction trades, nec.	6: Other	2,680	4.54	4.52	0.00	0.00	0.00	0.00	32.17	14.71	8.16	8.31	4.54	4.52	46.62	14.58
599	Construction trades, nec.	7: Hispanic	17,771	6.08	3.16	5.02	2.97	5.02	2.97	15.89	5.04	2.22	2.23	8.79	3.81	14.85	4.09
599	Construction trades, nec.	8: NonHispanic	151,980	9.77	1.42	6.43	1.26	7.00	1.18	17.65	1.56	4.20	0.83	6.50	1.16	37.43	2.55
628	Supervisors, production occs	1: Total	1,092,668	6.62	0.40	3.61	0.31	4.44	0.33	17.59	0.62	5.77	0.39	5.31	0.37	35.06	0.74
628	Supervisors, production occs	2: Male	914,717	6.42	0.41	3.48	0.34	4.21	0.35	15.75	0.68	5.71	0.41	5.08	0.40	34.65	0.79
628	Supervisors, production occs	3: Female	177,951	7.61	1.05	4.27	0.72	5.58	0.90	27.05	1.54	6.04	0.92	6.48	0.91	37.21	2.11
628	Supervisors, production occs	4: White	972,493	6.63	0.41	3.55	0.32	4.43	0.34	17.34	0.63	5.84	0.42	5.09	0.39	35.75	0.77
628	Supervisors, production occs	5: Black	94,927	7.34	1.38	4.74	1.06	5.07	1.14	21.03	2.35	4.87	1.20	7.69	1.39	28.65	2.10
628	Supervisors, production occs	6: Other	25,248	3.37	1.85	1.60	1.49	2.51	1.70	14.53	3.25	6.40	2.30	4.83	2.03	32.68	4.90
628	Supervisors, production occs	7: Hispanic	81,072	4.65	1.18	3.04	0.94	2.46	0.72	14.92	2.04	4.22	1.16	8.02	1.66	23.99	2.14
628	Supervisors, production occs	8: NonHispanic	1,011,596	6.77	0.42	3.66	0.32	4.60	0.35	17.81	0.65	5.89	0.41	5.09	0.39	35.95	0.79
634	Tool and die makers	1: Total	143,231	4.55	0.90	1.77	0.62	2.79	0.59	18.90	1.98	5.60	1.08	3.88	0.70	35.13	2.01
634	Tool and die makers	2: Male	140,484	4.63	0.93	1.80	0.63	2.85	0.60	18.76	1.96	5.71	1.11	3.68	0.71	35.30	2.01
634	Tool and die makers	3: Female	2,747	0.00	0.00	0.00	0.00	0.00	0.00	25.83	13.23	0.00	0.00	14.09	10.49	26.50	18.61
634	Tool and die makers	4: White	138,039	4.26	0.93	1.53	0.60	2.44	0.59	19.20	2.00	5.63	1.13	3.64	0.63	35.20	2.00
634	Tool and die makers	5: Black	2,693	7.55	7.34	7.55	7.34	7.55	7.34	11.33	7.00	0.00	0.00	11.34	7.88	13.07	9.00
634	Tool and die makers	6: Other	2,499	16.92	10.25	8.59	7.54	16.92	10.25	10.19	9.83	10.19	9.83	9.49	9.53	55.08	19.22
634	Tool and die makers	7: Hispanic	3,410	6.40	6.25	0.00	0.00	0.00	0.00	6.40	6.25	6.72	6.42	6.99	6.60	19.88	8.30
634	Tool and die makers	8: NonHispanic	139,821	4.50	0.91	1.81	0.63	2.86	0.60	19.20	2.02	5.58	1.08	3.81	0.72	35.50	2.07
637	Machinists	1: Total	522,513	8.86	0.71	4.53	0.55	6.93	0.63	19.39	0.93	5.10	0.55	6.81	0.51	35.66	1.15
637	Machinists	2: Male	499,347	8.77	0.73	4.41	0.57	6.80	0.65	18.76	0.95	5.20	0.58	6.73	0.53	35.40	1.19
637	Machinists	3: Female	23,166	10.79	3.15	7.04	2.58	9.83	3.03	32.85	5.26	2.75	1.58	8.37	3.11	41.30	4.78
637	Machinists	4: White	479,828	8.61	0.73	4.46	0.57	6.59	0.63	19.18	0.94	5.04	0.56	6.98	0.53	36.45	1.22
637	Machinists	5: Black	27,803	12.12	3.21	6.47	2.69	10.92	3.06	23.25	4.63	7.29	2.90	5.77	2.35	29.17	3.67
637	Machinists	6: Other	14,883	10.70	3.90	3.01	2.11	10.70	3.90	18.92	3.80	2.83	1.89	3.01	2.13	22.40	6.00
637	Machinists	7: Hispanic	34,779	10.74	2.86	6.15	2.43	7.17	2.22	17.54	2.67	1.21	0.84	11.40	2.64	32.68	4.13
637	Machinists	8: NonHispanic	487,734	8.72	0.74	4.41	0.57	6.92	0.64	19.52	0.97	5.37	0.58	6.48	0.53	35.87	1.25
653	Sheet metal workers	1: Total	143,964	7.99	1.24	4.00	0.88	6.45	1.00	19.76	2.08	5.86	1.05	7.17	1.15	37.87	2.21
653	Sheet metal workers	2: Male	133,631	7.62	1.38	4.06	0.93	5.96	1.04	18.19	2.09	6.31	1.11	7.20	1.25	36.56	2.08
653	Sheet metal workers	3: Female	10,332	12.79	5.96	3.31	2.20	12.79	5.96	40.03	8.83	0.00	0.00	6.75	3.51	54.80	9.11
653	Sheet metal workers	4: White	129,086	6.43	1.10	3.42	0.86	4.90	0.98	19.53	2.09	6.03	1.14	6.98	1.24	36.62	2.21
653	Sheet metal workers	5: Black	9,795	25.85	8.00	9.37	4.53	25.85	8.00	16.93	5.95	6.56	3.49	8.65	4.18	54.01	7.98
653	Sheet metal workers	6: Other	5,082	13.14	8.99	8.50	8.05	8.50	8.05	30.95	12.76	0.00	0.00	9.13	6.31	38.45	13.00
653	Sheet metal workers	7: Hispanic	9,645	14.30	5.64	4.86	3.25	11.89	5.25	15.91	5.78	4.71	2.83	13.57	6.11	40.07	9.03
653	Sheet metal workers	8: NonHispanic	134,318	7.54	1.25	3.94	0.90	6.06	0.98	20.03	2.14	5.94	1.12	6.71	1.18	37.71	2.26
666	Dressmakers	1: Total	123,787	9.92	1.31	4.32	0.94	5.76	1.08	25.09	2.25	5.64	1.07	12.22	1.59	43.24	2.56
666	Dressmakers	2: Male	7,254	10.93	5.85	0.00	0.00	6.57	4.58	19.19	8.09	14.73	7.03	14.87	6.90	48.55	9.59
666	Dressmakers	3: Female	116,533	9.86	1.33	4.59	1.00	5.71	1.09	25.46	2.26	5.08	1.06	12.06	1.54	42.91	2.56
666	Dressmakers	4: White	98,967	10.63	1.59	4.28	1.05	6.28	1.33	26.26	2.69	5.62	1.24	11.48	1.63	45.36	2.96
666	Dressmakers	5: Black	11,937	5.72	3.08	2.27	1.91	5.72	3.08	17.78	4.73	10.00	4.19	23.28	6.88	38.60	5.21
666	Dressmakers	6: Other	12,883	8.34	3.80	6.56	3.66	1.79	1.78	22.91	5.26	1.76	1.74	7.83	3.90	31.30	7.03
666	Dressmakers	7: Hispanic	16,560	8.03	2.74	1.35	1.35	5.17	3.22	19.32	5.38	5.64	2.63	13.92	3.99	27.95	6.11
666	Dressmakers	8: NonHispanic	107,227	10.21	1.44	4.78	1.05	5.85	1.13	25.98	2.36	5.64	1.18	11.96	1.79	45.61	2.70
683	Electrical/electronic equipment assemblers	1: Total	230,284	10.79	1.01	5.73	0.85	9.42	0.94	24.35	1.72	6.09	0.81	9.20	1.08	35.64	1.93
683	Electrical/electronic equipment assemblers	2: Male	71,527	7.50	1.74	2.96	1.21	6.24	1.55	15.13	2.32	3.88	1.05	5.35	1.44	28.32	3.11
683	Electrical/electronic equipment assemblers	3: Female	158,757	12.27	1.35	6.98	1.13	10.85	1.23	28.54	2.10	7.09	1.08	10.95	1.38	38.94	2.21
683	Electrical/electronic equipment assemblers	4: White	177,005	10.94	1.20	5.68	1.00	9.34	1.07	26.46	1.87	7.22	0.93	9.04	1.10	39.27	2.26
683	Electrical/electronic equipment assemblers	5: Black	27,767	15.10	4.10	8.44	3.50	14.00	3.86	16.26	3.79	2.73	1.93	11.56	3.84	28.05	4.06
683	Electrical/electronic equipment assemblers	6: Other	25,511	5.02	2.11	3.11	1.64	5.02	2.11	18.47	4.05	1.87	1.21	7.77	2.57	18.72	3.94
683	Electrical/electronic equipment assemblers	7: Hispanic	43,150	11.37	2.23	4.97	1.49	9.77	2.04	22.08	3.90	7.67	2.33	11.81	3.14	27.71	4.38
683	Electrical/electronic equipment assemblers	8: NonHispanic	187,134	10.65	1.14	5.91	0.98	9.34	1.06	24.87	1.90	5.73	0.83	8.61	1.03	37.47	2.07
686	Butchers and meat cutters	1: Total	213,405	7.32	1.00	3.79	0.68	6.52	0.90	16.53	1.34	5.49	0.83	7.19	0.99	31.52	1.68
686	Butchers and meat cutters	2: Male	170,028	5.89	1.06	3.61	0.77	5.27	1.01	13.90	1.48	4.50	0.92	5.31	0.97	30.50	1.87
686	Butchers and meat cutters	3: Female	43,376	12.91	2.59	4.51	1.50	11.42	2.31	26.94	3.44	9.38	2.27	14.55	2.88	35.52	3.95
686	Butchers and meat cutters	4: White	169,041	6.88	1.19	3.73	0.83	6.05	1.05	17.29	1.52	5.61	1.01	5.38	0.93	32.12	1.95
686	Butchers and meat cutters	5: Black	30,558	10.05	2.34	4.22	1.34	9.01	2.24	16.84	3.90	5.73	1.97	17.29	4.67	30.59	4.08
686	Butchers and meat cutters	6: Other	13,805	6.70	2.84	3.64	2.11	6.70	2.84	6.66	2.81	3.57	2.09	7.21	3.76	26.24	6.21
686	Butchers and meat cutters	7: Hispanic	24,788	3.00	1.43	2.12	1.24	3.00	1.43	7.04	2.22	0.94	1.00	3.52	1.62	15.43	3.18
686	Butchers and meat cutters	8: NonHispanic	188,617	7.89	1.10	4.01	0.77	6.98	1.01	17.77	1.48	6.09	0.96	7.68	1.07	33.64	1.91
687	Bakers	1: Total	128,093	7.76	1.31	3.58	0.90	5.72	1.14	20.56	2.01	4.30	0.93	6.97	1.13	33.05	2.19
687	Bakers	2: Male	72,067	7.10	1.61	3.19	1.24	4.86	1.42	15.25	2.01	5.48	1.40	7.12	1.41	27.70	2.66
687	Bakers	3: Female	56,026	8.62	2.03	4.08	1.33	6.84	1.81	27.36	3.51	2.79	1.14	6.78	1.60	39.93	3.32
687	Bakers	4: White	104,895	8.50	1.57	3.89	1.05	6.51	1.35	21.68	2.41	4.54	1.02	5.91	1.21	36.41	2.43
687	Bakers	5: Black	13,101	5.83	3.28	3.85	2.54	3.85	2.54	14.53	4.77	4.15	3.04	11.03	3.77	21.10	6.69
687	Bakers	6: Other	10,096	2.61	2.69	0.00	0.00	0.00	0.00	16.80	5.93	2.08	2.09	12.67	5.27	13.64	5.30
687	Bakers	7: Hispanic	17,322	2.58	1.62	0.00	0.00	0.00	0.00	9.53	2.79	3.72	2.64	7.13	3.67	15.92	3.64
687	Bakers	8: NonHispanic	110,771	8.57	1.51	4.14	1.05	6.62	1.33	22.29	2.32	4.40	0.96	6.94	1.21	35.73	2.37
689	Inspectors, testers, and graders	1: Total	137,766	11.55	1.59	6.23	1.19	7.87	1.44	27.75	2.00	5.91	1.14	9.03	1.41	42.44	2.27
689	Inspectors, testers, and graders	2: Male	102,203	10.33	1.62	5.83	1.40	7.72	1.51	21.04	1.99	4.85	1.06	7.92	1.42	40.11	2.61
689	Inspectors, testers, and graders	3: Female	35,562	15.07	3.30	7.36	2.51	8.30	2.43	46.95	4.65	8.97	3.03	12.24	3.38	49.13	4.70
689	Inspectors, testers, and graders	4: White	116,868	12.22	1.81	6.75	1.37	8.40	1.68	27.47	2.27	5.55	1.23	8.47	1.57	44.82	2.53
689	Inspectors, testers, and graders	5: Black	13,777	7.05	2.56	4.96	2.05	5.96	2.37	34.90	7.51	5.68	2.92	13.30	3.96	29.60	6.46
689	Inspectors, testers, and graders	6: Other	7,121	9.30	5.14	0.00	0.00	2.91	2.80	18.77	6.50	12.26	5.80	10.05	5.92	28.22	8.05
689	Inspectors, testers, and graders	7: Hispanic	7,815	17.90	6.52	5.86	3.94	5.70	3.93	26.97	6.75	2.89	2.86	13.23	6.99	50.51	8.87
689	Inspectors, testers, and graders	8: NonHispanic	129,951	11.17	1.65	6.25	1.24	8.00	1.51	27.80	2.12	6.09	1.18	8.78	1.47	41.95	2.38
696	Stationary engineers	1: Total	149,560	8.89	1.23	4.71	0.86	6.02	1.01	21.71	1.78	4.90	0.90	6.41	0.97	38.45	1.99
696	Stationary engineers	2: Male	144,091	8.76	1.25	4.56	0.90	6.07	1.04	21.17	1.80	4.92	0.93	6.05	0.95	37.64	2.03
696	Stationary engineers	3: Female	5,468	12.27	5.94	8.73	4.94	4.62	4.57	35.88	10.06	4.62	4.57	16.50	7.81	59.94	10.26
696	Stationary engineers	4: White	131,075	9.57	1.35	4.92	0.89	6.29	1.07	22.04	1.91	4.90	0.97	5.54	0.97	39.21	2.19
696	Stationary engineers	5: Black	13,386	5.66	2.97	4.46	2.69	5.66	2.97	25.04	5.97	6.81	3.12	15.60	5.23	35.28	6.71
696	Stationary engineers	6: Other	5,098	0.00	0.00	0.00	0.00	0.00	0.00	4.63	4.58	0.00	0.00	4.89	4.84	27.35	9.98
696	Stationary engineers	7: Hispanic	7,371	6.15	4.46	3.37	3.44	3.37	3.44	24.68	11.34	0.00	0.00	5.57	3.91	29.94	10.17
696	Stationary engineers	8: NonHispanic	142,189	9.03	1.31	4.78	0.91	6.16	1.07	21.56	1.80	5.16	0.94	6.46	0.99	38.89	1.99
706	Punching and stamping press machine operators	1: Total	126,355	9.22	1.42	4.76	1.03	7.67	1.36	24.00	2.35	7.37	1.32	7.14	1.31	41.28	2.72
706	Punching and stamping press machine operators	2: Male	89,818	8.00	1.31	3.17	0.93	6.05	1.18	20.52	2.31	6.20	1.46	6.43	1.16	37.90	2.89
706	Punching and stamping press machine operators	3: Female	36,536	12.24	3.02	8.66	2.45	11.66	3.00	32.57	5.54	10.22	2.46	8.89	3.56	49.61	5.40
706	Punching and stamping press machine operators	4: White	112,659	8.89	1.44	4.18	1.00	7.23	1.33	24.76	2.57	7.69	1.40	6.84	1.43	41.33	2.95
706	Punching and stamping press machine operators	5: Black	12,003	12.89	3.95	10.04	4.24	12.07	3.89	17.33	4.56	5.39	2.89	8.79	3.26	40.23	6.86
706	Punching and stamping press machine operators	6: Other	1,693	5.86	6.00	5.86	6.00	5.86	6.00	20.61	14.78	0.00	0.00	16.00	14.72	45.69	20.61
706	Punching and stamping press machine operators	7: Hispanic	12,198	9.47	4.72	3.75	2.57	9.47	4.72	11.31	4.64	7.07	3.45	11.05	4.90	20.71	5.92
706	Punching and stamping press machine operators	8: NonHispanic	114,156	9.20	1.38	4.87	1.02	7.48	1.29	25.36	2.48	7.40	1.42	6.73	1.41	43.48	2.93
709	Grinding/abrading/buffing/polishing machine operators	1: Total	121,344	10.28	1.49	4.39	0.84	7.73	1.21	22.82	1.77	7.24	1.38	10.44	1.58	40.25	2.52
709	Grinding/abrading/buffing/polishing machine operators	2: Male	99,658	10.45	1.70	4.02	0.95	8.11	1.41	20.30	2.05	5.69	1.19	9.64	1.53	38.71	2.75
709	Grinding/abrading/buffing/polishing machine operators	3: Female	21,686	9.48	3.00	6.05	2.41	6.00	2.39	34.30	5.24	14.36	4.46	14.16	4.52	47.30	6.23
709	Grinding/abrading/buffing/polishing machine operators	4: White	105,584	10.23	1.58	4.24	0.92	7.66	1.27	22.73	2.00	7.85	1.57	9.87	1.74	39.11	2.73
709	Grinding/abrading/buffing/polishing machine operators	5: Black	13,419	12.42	4.78	6.31	2.97	9.70	3.86	25.26	6.00	3.72	2.59	16.67	4.92	47.79	6.51
709	Grinding/abrading/buffing/polishing machine operators	6: Other	2,341	0.00	0.00	0.00	0.00	0.00	0.00	11.47	10.73	0.00	0.00	0.00	0.00	48.07	14.28
709	Grinding/abrading/buffing/polishing machine operators	7: Hispanic	15,410	4.02	2.28	2.68	1.87	4.02	2.28	15.46	4.52	5.56	4.03	7.91	4.12	21.58	4.97
709	Grinding/abrading/buffing/polishing machine operators	8: NonHispanic	105,934	11.19	1.67	4.64	0.96	8.27	1.37	23.90	1.99	7.48	1.31	10.79	1.70	42.96	2.65
719	Molding and casting machine operators	1: Total	103,758	11.40	1.62	5.68	1.29	9.28	1.38	18.71	1.93	6.90	1.54	10.26	1.60	34.35	2.54
719	Molding and casting machine operators	2: Male	76,325	10.61	1.79	4.77	1.30	9.19	1.66	14.22	1.84	7.39	1.89	9.78	1.89	31.63	2.75
719	Molding and casting machine operators	3: Female	27,432	13.60	4.16	8.21	3.01	9.52	3.40	31.09	4.63	5.54	2.35	11.57	3.45	41.94	4.82
719	Molding and casting machine operators	4: White	86,981	12.26	1.77	5.43	1.38	9.73	1.44	19.63	2.20	6.03	1.54	8.73	1.68	36.27	2.78
719	Molding and casting machine operators	5: Black	14,078	8.29	4.95	8.29	4.95	8.29	4.95	15.20	4.46	10.58	5.30	18.42	6.16	25.72	6.11
719	Molding and casting machine operators	6: Other	2,699	0.00	0.00	0.00	0.00	0.00	0.00	7.83	7.53	16.00	10.40	16.63	11.45	17.75	11.31
719	Molding and casting machine operators	7: Hispanic	11,795	1.71	1.72	0.00	0.00	1.71	1.72	5.75	3.41	4.45	3.81	12.63	4.73	23.63	7.22
719	Molding and casting machine operators	8: NonHispanic	91,963	12.64	1.80	6.41	1.43	10.25	1.54	20.39	2.09	7.22	1.66	9.95	1.71	35.73	2.63
734	Printing press operators	1: Total	323,661	5.66	0.71	3.21	0.55	4.29	0.64	17.88	1.12	4.72	0.55	4.58	0.60	33.83	1.63
734	Printing press operators	2: Male	274,255	5.40	0.76	3.13	0.58	4.01	0.66	16.18	1.21	4.31	0.60	4.36	0.65	33.00	1.68
734	Printing press operators	3: Female	49,407	7.15	1.89	3.64	1.41	5.86	1.77	27.45	3.33	6.97	1.77	5.82	1.77	38.39	3.82
734	Printing press operators	4: White	284,389	6.04	0.80	3.43	0.62	4.48	0.71	18.54	1.20	4.67	0.58	4.69	0.66	35.11	1.76
734	Printing press operators	5: Black	26,343	2.64	1.37	0.66	0.65	2.64	1.37	11.67	2.91	6.69	2.90	3.88	2.01	30.49	4.89
734	Printing press operators	6: Other	12,929	3.47	2.42	3.47	2.42	3.47	2.42	15.70	5.30	1.78	1.77	3.63	2.53	12.42	4.46
734	Printing press operators	7: Hispanic	29,482	6.10	3.12	3.60	2.19	6.10	3.12	19.86	3.40	4.66	1.86	3.82	1.53	20.01	4.93
734	Printing press operators	8: NonHispanic	294,180	5.62	0.72	3.17	0.57	4.11	0.64	17.68	1.13	4.72	0.60	4.66	0.65	35.21	1.72
744	Textile sewing machine operators	1: Total	656,092	8.11	0.60	4.18	0.38	6.17	0.55	23.04	0.90	5.52	0.45	11.41	0.74	34.06	1.15
744	Textile sewing machine operators	2: Male	65,258	5.14	1.75	2.96	1.38	3.14	1.50	10.53	1.89	3.25	1.04	8.45	2.20	28.02	3.20
744	Textile sewing machine operators	3: Female	590,833	8.44	0.63	4.31	0.41	6.51	0.59	24.41	0.94	5.77	0.49	11.73	0.78	34.72	1.18
744	Textile sewing machine operators	4: White	475,318	8.67	0.78	4.55	0.51	6.63	0.70	24.85	1.11	5.96	0.55	11.47	0.92	37.10	1.48
744	Textile sewing machine operators	5: Black	125,913	7.67	1.17	3.86	0.80	5.38	0.99	19.35	1.99	5.30	1.26	11.76	1.61	28.44	2.13
744	Textile sewing machine operators	6: Other	54,860	4.36	1.38	1.71	0.81	4.01	1.35	15.76	2.40	2.16	0.95	10.06	2.22	20.54	3.11
744	Textile sewing machine operators	7: Hispanic	125,255	8.19	1.40	3.45	0.67	5.46	1.27	21.02	1.69	4.54	0.75	11.66	1.98	30.03	2.21
744	Textile sewing machine operators	8: NonHispanic	530,836	8.10	0.69	4.35	0.46	6.34	0.62	23.52	1.02	5.75	0.53	11.35	0.78	35.01	1.31
747	Pressing machine operators	1: Total	131,707	8.41	1.56	3.67	0.75	6.51	1.34	18.97	2.00	5.11	1.00	11.75	1.47	38.06	2.49
747	Pressing machine operators	2: Male	48,482	6.28	1.96	2.05	1.04	4.76	1.61	14.63	2.65	7.81	1.84	8.77	2.03	37.49	3.63
747	Pressing machine operators	3: Female	83,225	9.64	2.14	4.60	1.02	7.53	1.90	21.49	2.50	3.53	1.06	13.49	2.03	38.39	3.26
747	Pressing machine operators	4: White	89,223	8.90	2.17	3.04	0.93	6.62	1.85	20.15	2.46	5.56	1.26	11.35	1.73	41.37	3.47
747	Pressing machine operators	5: Black	35,105	8.91	2.05	6.03	1.60	7.61	1.80	19.20	3.57	4.65	1.80	15.21	3.40	34.46	3.76
747	Pressing machine operators	6: Other	7,379	0.00	0.00	0.00	0.00	0.00	0.00	3.22	3.17	1.88	1.88	0.00	0.00	15.10	5.66
747	Pressing machine operators	7: Hispanic	21,240	5.42	2.19	2.13	1.51	5.42	2.19	21.14	4.83	6.11	2.84	10.49	3.41	30.71	4.96
747	Pressing machine operators	8: NonHispanic	110,467	8.98	1.82	3.96	0.85	6.72	1.54	18.55	2.09	4.92	1.06	11.98	1.60	39.47	2.79
748	Laundering and dry cleaning machine operators	1: Total	174,095	8.23	0.99	4.73	0.84	6.36	0.94	20.86	1.53	5.01	0.75	12.07	1.11	39.03	2.13
748	Laundering and dry cleaning machine operators	2: Male	70,523	6.43	1.54	3.38	1.06	5.36	1.44	13.82	2.05	3.31	1.18	8.85	1.80	28.71	3.19
748	Laundering and dry cleaning machine operators	3: Female	103,572	9.46	1.42	5.65	1.18	7.05	1.23	25.64	2.64	6.16	1.06	14.26	1.57	46.05	2.64
748	Laundering and dry cleaning machine operators	4: White	127,444	8.77	1.20	5.20	1.05	6.50	1.19	22.11	1.83	5.54	0.98	10.16	1.28	39.71	2.42
748	Laundering and dry cleaning machine operators	5: Black	37,646	7.87	1.97	3.78	1.27	6.91	1.90	18.25	3.19	3.89	1.31	19.14	2.80	37.96	3.56
748	Laundering and dry cleaning machine operators	6: Other	9,005	2.07	2.07	2.07	2.07	2.07	2.07	14.07	6.26	2.07	2.07	9.53	4.88	33.78	8.28
748	Laundering and dry cleaning machine operators	7: Hispanic	26,935	4.34	1.93	1.72	1.23	3.35	1.68	21.13	3.70	3.38	1.54	11.74	3.04	26.72	4.81
748	Laundering and dry cleaning machine operators	8: NonHispanic	147,160	8.94	1.14	5.28	0.93	6.91	1.05	20.81	1.72	5.30	0.86	12.13	1.27	41.28	2.30
754	Packaging and filling machine operators	1: Total	381,818	8.57	0.79	4.37	0.56	6.75	0.74	20.80	0.98	5.95	0.61	9.60	0.83	34.85	1.34
754	Packaging and filling machine operators	2: Male	143,451	10.04	1.36	4.03	0.95	7.22	1.17	13.72	1.39	4.99	0.96	6.99	1.12	33.65	2.14
754	Packaging and filling machine operators	3: Female	238,367	7.69	0.97	4.58	0.73	6.47	0.92	25.06	1.36	6.52	0.80	11.18	1.09	35.57	1.76
754	Packaging and filling machine operators	4: White	300,360	8.58	0.94	4.61	0.66	6.92	0.92	21.99	1.20	6.56	0.73	8.83	0.80	37.05	1.46
754	Packaging and filling machine operators	5: Black	61,369	8.76	1.97	2.83	0.94	6.30	1.71	17.33	2.52	4.21	1.25	11.91	2.58	28.87	3.34
754	Packaging and filling machine operators	6: Other	20,088	7.80	3.23	5.64	2.95	5.64	2.95	13.62	3.99	2.07	1.48	14.18	4.12	20.17	4.78
754	Packaging and filling machine operators	7: Hispanic	81,690	6.60	1.21	3.56	1.01	4.97	1.08	15.17	2.42	3.42	0.82	10.68	1.34	20.91	2.33
754	Packaging and filling machine operators	8: NonHispanic	300,127	9.11	0.92	4.60	0.65	7.24	0.87	22.33	1.13	6.64	0.72	9.31	0.99	38.65	1.60
756	Mixing and blending machine operators	1: Total	123,593	8.75	1.39	4.80	1.05	6.71	1.25	18.65	1.96	6.78	1.21	4.70	1.11	36.79	2.11
756	Mixing and blending machine operators	2: Male	108,557	8.34	1.44	5.09	1.14	6.71	1.32	17.49	1.98	7.34	1.36	4.45	1.12	35.52	2.35
756	Mixing and blending machine operators	3: Female	15,036	11.65	4.20	2.69	1.91	6.75	3.32	27.06	7.00	2.77	1.97	6.48	4.04	45.95	6.97
756	Mixing and blending machine operators	4: White	101,261	9.58	1.65	5.29	1.26	7.39	1.48	18.79	2.22	7.43	1.48	3.62	1.08	37.69	2.32
756	Mixing and blending machine operators	5: Black	20,328	5.45	2.23	2.82	1.36	3.98	1.73	16.40	3.87	4.22	1.84	7.75	2.80	31.02	4.57
756	Mixing and blending machine operators	6: Other	2,005	0.00	0.00	0.00	0.00	0.00	0.00	34.87	16.06	0.00	0.00	28.09	22.14	50.16	21.39
756	Mixing and blending machine operators	7: Hispanic	15,189	3.18	2.17	3.18	2.17	3.18	2.17	7.30	3.84	3.00	2.20	4.82	3.90	24.34	4.89
756	Mixing and blending machine operators	8: NonHispanic	108,403	9.53	1.59	5.02	1.18	7.21	1.42	20.25	2.14	7.31	1.33	4.68	1.14	38.54	2.21
759	Painting and paint spraying machine operators	1: Total	184,736	7.48	1.10	3.88	0.77	6.02	1.01	15.64	1.52	4.62	0.72	7.61	0.95	33.37	1.81
759	Painting and paint spraying machine operators	2: Male	157,929	7.35	1.23	3.53	0.79	5.96	1.13	12.82	1.41	4.43	0.74	7.26	1.02	31.43	1.86
759	Painting and paint spraying machine operators	3: Female	26,807	8.25	2.81	5.96	2.49	6.37	2.50	32.15	6.12	5.79	2.31	9.66	2.88	44.80	5.74
759	Painting and paint spraying machine operators	4: White	152,631	7.28	1.23	3.82	0.84	5.69	1.12	15.65	1.63	5.01	0.83	6.90	1.01	34.05	2.05
759	Painting and paint spraying machine operators	5: Black	24,561	8.01	2.88	3.58	2.04	6.89	2.65	17.50	4.25	2.75	1.85	12.34	3.20	30.25	4.32
759	Painting and paint spraying machine operators	6: Other	7,544	9.78	5.40	6.19	4.21	9.78	5.40	9.38	5.02	2.87	2.87	6.45	4.56	29.82	8.03
759	Painting and paint spraying machine operators	7: Hispanic	31,543	6.32	2.32	4.92	2.05	4.99	2.16	9.10	2.28	2.92	1.38	12.98	3.53	22.17	3.66
759	Painting and paint spraying machine operators	8: NonHispanic	153,193	7.72	1.23	3.67	0.83	6.23	1.14	17.00	1.76	4.97	0.83	6.51	0.92	35.68	1.95
769	Slicing and cutting machine operators	1: Total	204,112	7.62	0.95	4.12	0.76	6.17	0.86	18.94	1.46	4.16	0.76	7.63	1.07	32.16	1.81
769	Slicing and cutting machine operators	2: Male	144,479	6.61	1.01	3.48	0.81	5.23	0.89	14.28	1.52	3.65	0.80	5.82	1.04	29.03	1.92
769	Slicing and cutting machine operators	3: Female	59,633	10.08	1.91	5.65	1.56	8.44	1.78	30.25	3.17	5.39	1.55	11.98	2.22	39.76	3.65
769	Slicing and cutting machine operators	4: White	163,199	7.92	1.06	4.16	0.85	6.10	0.94	18.81	1.55	3.80	0.83	7.42	1.20	32.91	2.05
769	Slicing and cutting machine operators	5: Black	31,649	6.73	2.43	4.31	1.77	6.73	2.43	19.80	4.05	5.72	2.26	10.14	2.85	29.98	4.20
769	Slicing and cutting machine operators	6: Other	9,264	5.54	3.87	2.69	2.67	5.54	3.87	18.46	6.60	5.23	3.66	2.74	2.73	26.44	7.77
769	Slicing and cutting machine operators	7: Hispanic	31,205	7.56	2.38	3.21	1.85	5.34	2.04	11.69	2.99	3.66	1.92	6.94	2.42	20.39	3.50
769	Slicing and cutting machine operators	8: NonHispanic	172,907	7.64	1.02	4.28	0.80	6.32	0.94	20.25	1.66	4.25	0.82	7.75	1.15	34.29	1.92
777	Miscellaneous machine operators	1: Total	912,207	8.39	0.58	4.38	0.41	6.67	0.55	20.47	0.70	5.58	0.42	8.20	0.46	35.57	0.98
777	Miscellaneous machine operators	2: Male	629,255	7.32	0.63	3.79	0.47	5.75	0.59	16.84	0.83	5.16	0.47	6.86	0.51	33.61	1.18
777	Miscellaneous machine operators	3: Female	282,952	10.75	1.03	5.68	0.72	8.72	0.94	28.56	1.59	6.52	0.80	11.15	0.90	39.93	1.50
777	Miscellaneous machine operators	4: White	728,381	8.40	0.67	4.37	0.48	6.68	0.63	20.97	0.80	5.62	0.48	7.58	0.51	37.10	1.10
777	Miscellaneous machine operators	5: Black	148,646	9.29	1.25	5.10	1.05	7.37	1.16	20.70	1.47	5.59	1.14	11.72	1.24	32.31	2.01
777	Miscellaneous machine operators	6: Other	35,180	4.21	1.65	1.48	0.90	3.41	1.44	9.11	2.40	4.65	1.88	6.17	2.01	17.79	2.75
777	Miscellaneous machine operators	7: Hispanic	117,840	6.45	1.52	3.49	1.03	5.84	1.57	18.13	1.95	3.61	0.99	11.31	1.29	25.71	2.14
777	Miscellaneous machine operators	8: NonHispanic	794,367	8.67	0.62	4.51	0.45	6.79	0.58	20.82	0.77	5.87	0.45	7.74	0.49	37.04	1.07
779	Machine operators, not specified	1: Total	528,820	8.86	0.69	4.78	0.48	7.07	0.61	19.20	0.83	4.70	0.45	7.96	0.57	36.05	1.07
779	Machine operators, not specified	2: Male	362,688	7.04	0.71	3.69	0.52	5.56	0.64	14.18	0.80	3.76	0.50	6.84	0.64	33.03	1.23
779	Machine operators, not specified	3: Female	166,133	12.81	1.35	7.15	1.00	10.38	1.20	30.13	1.62	6.75	0.95	10.40	1.14	42.63	1.98
779	Machine operators, not specified	4: White	425,180	8.59	0.75	4.69	0.53	6.76	0.69	19.91	0.93	4.65	0.53	7.03	0.63	37.46	1.21
779	Machine operators, not specified	5: Black	84,933	10.47	1.79	5.18	1.16	8.51	1.56	17.04	1.92	5.19	1.34	11.35	1.70	32.25	2.55
779	Machine operators, not specified	6: Other	18,707	7.64	3.48	4.97	2.39	7.64	3.48	12.77	4.53	3.69	2.05	13.52	4.12	21.21	5.49
779	Machine operators, not specified	7: Hispanic	55,980	4.23	1.05	1.62	0.83	3.84	0.95	14.74	2.95	2.79	1.18	8.09	1.63	18.40	2.29
779	Machine operators, not specified	8: NonHispanic	472,840	9.40	0.77	5.15	0.54	7.45	0.69	19.73	0.85	4.93	0.50	7.94	0.61	38.14	1.14
783	Welders and cutters	1: Total	597,287	9.02	0.63	4.96	0.49	6.91	0.58	16.34	0.87	4.65	0.43	7.16	0.56	36.75	1.02
783	Welders and cutters	2: Male	570,138	8.75	0.64	4.74	0.50	6.78	0.59	15.52	0.86	4.62	0.43	6.97	0.57	36.36	1.03
783	Welders and cutters	3: Female	27,148	14.69	3.62	9.65	2.87	9.76	3.04	33.49	5.14	5.10	2.38	11.14	3.85	45.11	4.92
783	Welders and cutters	4: White	523,193	8.88	0.68	4.82	0.52	6.83	0.63	16.10	0.88	4.86	0.46	6.24	0.57	37.73	1.14
783	Welders and cutters	5: Black	56,454	9.54	1.89	4.70	1.36	7.20	1.67	16.65	2.54	3.67	1.21	13.40	2.58	29.28	2.82
783	Welders and cutters	6: Other	17,640	11.45	4.87	10.12	4.76	8.45	4.56	22.43	7.18	1.43	1.43	14.44	4.05	31.76	8.19
783	Welders and cutters	7: Hispanic	65,552	5.29	1.34	3.51	1.08	3.31	1.06	8.70	1.75	3.52	1.04	10.18	1.77	23.51	2.89
783	Welders and cutters	8: NonHispanic	531,734	9.48	0.69	5.14	0.53	7.35	0.65	17.28	0.94	4.78	0.45	6.78	0.59	38.39	1.08
785	Assemblers	1: Total	1,026,023	10.58	0.44	5.32	0.38	8.47	0.41	24.91	0.69	6.27	0.46	8.29	0.49	37.93	0.85
785	Assemblers	2: Male	553,313	8.89	0.69	4.63	0.52	7.12	0.63	18.59	0.97	5.81	0.59	5.95	0.49	35.01	1.14
785	Assemblers	3: Female	472,709	12.57	0.70	6.12	0.59	10.06	0.65	32.29	1.09	6.81	0.67	11.03	0.90	41.35	1.17
785	Assemblers	4: White	828,216	10.47	0.49	5.15	0.35	8.39	0.46	25.42	0.77	6.12	0.52	7.80	0.51	39.13	0.93
785	Assemblers	5: Black	149,750	13.10	1.33	7.29	1.37	10.71	1.20	23.78	2.24	7.40	1.17	11.23	1.47	35.05	2.22
785	Assemblers	6: Other	48,057	4.69	1.73	2.09	1.27	2.95	1.52	19.50	2.99	5.29	1.88	7.57	2.04	26.24	3.87
785	Assemblers	7: Hispanic	119,226	7.89	1.23	4.39	0.79	5.75	1.04	20.28	1.69	4.58	1.22	9.06	2.10	24.25	2.12
785	Assemblers	8: NonHispanic	906,797	10.94	0.48	5.44	0.42	8.83	0.44	25.51	0.76	6.49	0.48	8.19	0.49	39.73	0.84
796	Production inspectors, checkers, and examiners	1: Total	571,665	9.82	0.68	5.16	0.56	7.22	0.57	26.38	0.98	5.86	0.51	9.37	0.67	39.84	1.24
796	Production inspectors, checkers, and examiners	2: Male	259,447	7.88	0.99	4.27	0.70	6.12	0.89	19.51	1.42	5.56	0.79	7.26	0.83	38.13	1.76
796	Production inspectors, checkers, and examiners	3: Female	312,218	11.44	0.94	5.91	0.78	8.13	0.76	32.10	1.48	6.11	0.74	11.12	0.97	41.26	1.61
796	Production inspectors, checkers, and examiners	4: White	465,378	9.25	0.72	4.98	0.62	6.59	0.60	26.26	1.16	5.56	0.52	9.41	0.72	40.58	1.37
796	Production inspectors, checkers, and examiners	5: Black	82,496	12.75	1.87	5.77	1.37	10.57	1.87	27.74	3.02	5.54	1.55	10.24	1.60	37.57	2.68
796	Production inspectors, checkers, and examiners	6: Other	23,790	10.94	3.62	6.60	2.84	7.98	3.25	24.07	3.97	12.73	3.65	5.61	2.33	33.34	4.19
796	Production inspectors, checkers, and examiners	7: Hispanic	55,311	6.08	1.74	4.28	1.41	5.27	1.67	23.46	3.24	4.58	1.54	10.16	2.54	33.00	3.86
796	Production inspectors, checkers, and examiners	8: NonHispanic	516,354	10.23	0.73	5.26	0.60	7.43	0.60	26.69	0.98	6.00	0.55	9.28	0.68	40.57	1.31
799	Graders and sorters, except agricultural	1: Total	125,068	7.88	1.33	4.52	0.94	6.82	1.26	22.78	1.95	6.19	1.18	9.48	1.32	37.30	2.35
799	Graders and sorters, except agricultural	2: Male	51,576	6.87	1.64	4.55	1.35	5.94	1.51	18.54	2.88	6.88	1.89	5.99	1.64	32.54	3.55
799	Graders and sorters, except agricultural	3: Female	73,492	8.60	1.93	4.50	1.18	7.44	1.86	25.73	2.65	5.71	1.50	11.94	1.98	40.65	3.32
799	Graders and sorters, except agricultural	4: White	94,950	8.31	1.65	4.13	1.08	7.03	1.57	23.72	2.35	5.61	1.22	8.57	1.36	36.74	2.74
799	Graders and sorters, except agricultural	5: Black	23,863	7.41	2.38	6.45	2.34	6.93	2.37	23.36	4.14	8.89	3.74	13.13	3.24	42.52	5.82
799	Graders and sorters, except agricultural	6: Other	6,254	3.17	3.18	3.17	3.18	3.17	3.18	6.41	4.57	4.81	4.75	9.36	5.54	26.01	7.89
799	Graders and sorters, except agricultural	7: Hispanic	29,707	7.79	3.17	2.81	1.59	7.06	3.20	21.47	3.78	4.31	2.22	10.47	2.39	25.22	4.07
799	Graders and sorters, except agricultural	8: NonHispanic	95,361	7.91	1.46	5.05	1.13	6.74	1.39	23.18	2.38	6.78	1.38	9.18	1.62	41.07	2.84
804	Truck drivers	1: Total	2,640,585	7.51	0.30	3.56	0.20	5.58	0.26	17.56	0.49	5.63	0.24	7.32	0.29	34.13	0.54
804	Truck drivers	2: Male	2,528,749	7.25	0.31	3.40	0.20	5.35	0.27	17.06	0.49	5.63	0.24	7.25	0.30	33.74	0.56
804	Truck drivers	3: Female	111,836	13.34	1.50	7.09	1.15	10.68	1.35	28.98	2.39	5.65	1.06	9.05	1.26	42.88	2.34
804	Truck drivers	4: White	2,232,215	7.36	0.33	3.47	0.22	5.40	0.27	17.91	0.51	5.70	0.25	6.66	0.30	35.12	0.57
804	Truck drivers	5: Black	356,271	8.17	0.92	4.20	0.63	6.50	0.83	15.38	1.12	5.44	0.79	11.23	0.94	28.86	1.44
804	Truck drivers	6: Other	52,099	9.54	1.76	2.91	1.17	6.81	1.65	17.57	3.03	3.93	1.57	8.83	2.17	27.58	3.26
804	Truck drivers	7: Hispanic	207,490	8.00	1.12	4.73	0.81	6.61	1.08	13.09	1.43	3.92	0.83	9.70	1.30	30.48	1.89
804	Truck drivers	8: NonHispanic	2,433,095	7.47	0.31	3.46	0.20	5.49	0.26	17.94	0.52	5.77	0.25	7.12	0.31	34.44	0.57
806	Driver-sales workers	1: Total	146,319	5.23	0.99	1.80	0.50	2.51	0.64	15.30	1.48	5.71	1.03	6.10	1.04	31.74	2.12
806	Driver-sales workers	2: Male	131,897	4.82	1.03	1.51	0.51	2.12	0.59	14.31	1.55	5.65	1.14	5.53	0.98	30.56	2.26
806	Driver-sales workers	3: Female	14,422	9.00	3.46	4.40	2.47	6.01	2.90	24.33	5.73	6.28	3.05	11.28	4.25	42.53	6.57
806	Driver-sales workers	4: White	135,799	5.47	1.05	1.94	0.54	2.54	0.67	15.54	1.58	5.90	1.09	6.12	1.08	32.67	2.27
806	Driver-sales workers	5: Black	7,422	0.00	0.00	0.00	0.00	0.00	0.00	11.76	7.23	4.62	2.91	8.16	4.17	18.37	7.39
806	Driver-sales workers	6: Other	3,098	7.13	7.42	0.00	0.00	7.13	7.42	13.04	11.93	0.00	0.00	0.00	0.00	22.97	12.95
806	Driver-sales workers	7: Hispanic	9,755	2.15	2.15	0.00	0.00	2.15	2.15	11.99	5.30	4.54	3.15	6.79	3.94	24.00	7.15
806	Driver-sales workers	8: NonHispanic	136,564	5.45	1.02	1.93	0.54	2.53	0.62	15.53	1.46	5.80	1.04	6.05	1.05	32.29	2.18
808	Bus drivers	1: Total	437,321	9.02	0.72	4.91	0.51	6.40	0.62	27.20	1.19	7.03	0.59	8.95	0.70	42.12	1.39
808	Bus drivers	2: Male	223,457	7.48	0.89	3.97	0.67	5.04	0.72	23.51	1.59	7.17	0.83	8.50	0.86	39.08	1.77
808	Bus drivers	3: Female	213,865	10.63	1.08	5.88	0.84	7.83	0.94	31.08	1.61	6.87	0.81	9.42	1.06	45.29	1.95
808	Bus drivers	4: White	322,937	8.66	0.85	4.50	0.61	5.76	0.75	28.97	1.34	7.80	0.76	8.12	0.78	45.04	1.62
808	Bus drivers	5: Black	103,439	11.11	1.36	6.69	1.13	9.09	1.25	22.45	2.04	5.17	0.96	11.86	1.64	35.08	2.60
808	Bus drivers	6: Other	10,945	0.00	0.00	0.00	0.00	0.00	0.00	19.89	6.68	1.93	1.99	6.11	4.22	22.38	5.75
808	Bus drivers	7: Hispanic	28,360	9.13	2.83	5.93	2.19	6.93	2.52	24.20	4.45	6.07	2.98	5.43	2.17	31.66	4.54
808	Bus drivers	8: NonHispanic	408,961	9.02	0.77	4.83	0.53	6.37	0.66	27.41	1.17	7.09	0.58	9.20	0.75	42.84	1.49
809	Taxicab drivers and chauffeurs	1: Total	198,640	8.06	1.02	3.91	0.74	5.35	0.95	19.43	1.40	6.35	1.08	12.31	1.38	35.94	1.78
809	Taxicab drivers and chauffeurs	2: Male	173,020	7.94	1.06	3.77	0.79	4.95	0.99	18.26	1.57	5.69	1.05	12.27	1.41	33.94	1.92
809	Taxicab drivers and chauffeurs	3: Female	25,620	8.85	3.05	4.87	2.57	8.08	2.95	27.35	4.96	10.76	3.79	12.61	3.63	49.48	5.20
809	Taxicab drivers and chauffeurs	4: White	132,486	9.67	1.43	4.54	1.00	6.18	1.29	21.38	1.73	7.03	1.48	13.16	1.82	43.19	2.51
809	Taxicab drivers and chauffeurs	5: Black	48,374	6.61	1.80	3.64	1.40	5.05	1.66	16.76	3.15	6.33	1.91	10.80	2.51	24.38	3.22
809	Taxicab drivers and chauffeurs	6: Other	17,779	0.00	0.00	0.00	0.00	0.00	0.00	12.21	4.44	1.33	1.38	10.07	4.01	13.41	5.75
809	Taxicab drivers and chauffeurs	7: Hispanic	21,138	9.32	2.96	4.94	2.51	3.77	2.22	8.93	3.03	4.75	2.33	14.03	3.67	20.55	4.64
809	Taxicab drivers and chauffeurs	8: NonHispanic	177,502	7.91	1.11	3.79	0.73	5.54	0.95	20.68	1.62	6.54	1.17	12.10	1.45	37.78	1.91
844	Operating engineers	1: Total	253,326	6.26	0.77	3.86	0.62	4.43	0.70	14.85	1.20	4.37	0.72	6.08	0.75	37.43	1.66
844	Operating engineers	2: Male	247,849	6.40	0.78	3.95	0.64	4.53	0.71	14.70	1.22	4.26	0.71	6.11	0.77	37.54	1.65
844	Operating engineers	3: Female	5,477	0.00	0.00	0.00	0.00	0.00	0.00	21.94	9.77	9.27	6.64	4.57	4.52	32.38	10.94
844	Operating engineers	4: White	225,841	6.41	0.86	3.84	0.69	4.57	0.77	15.17	1.29	3.83	0.75	5.75	0.76	37.21	1.79
844	Operating engineers	5: Black	20,881	5.37	2.07	5.37	2.07	4.28	1.98	13.87	3.78	8.46	3.66	7.64	3.09	36.06	5.96
844	Operating engineers	6: Other	6,605	4.05	4.25	0.00	0.00	0.00	0.00	7.13	5.02	9.70	5.31	12.54	6.24	49.28	11.79
844	Operating engineers	7: Hispanic	14,692	4.70	2.54	3.11	2.05	4.70	2.54	12.42	5.55	7.68	3.54	4.68	2.66	37.47	6.55
844	Operating engineers	8: NonHispanic	238,634	6.36	0.79	3.91	0.63	4.41	0.70	15.00	1.26	4.17	0.74	6.16	0.80	37.42	1.74
856	Industrial truck and tractor equipment operators	1: Total	450,241	8.43	0.69	4.35	0.49	6.87	0.67	16.91	0.81	6.28	0.63	7.65	0.61	33.22	1.09
856	Industrial truck and tractor equipment operators	2: Male	424,058	8.01	0.71	4.15	0.50	6.48	0.68	16.42	0.81	6.00	0.62	7.84	0.63	33.10	1.15
856	Industrial truck and tractor equipment operators	3: Female	26,183	15.31	3.64	7.67	2.53	13.19	3.38	24.84	4.27	10.81	2.75	4.55	2.08	35.04	4.34
856	Industrial truck and tractor equipment operators	4: White	355,429	8.53	0.82	4.14	0.54	7.10	0.80	17.70	0.95	6.21	0.71	6.94	0.67	34.29	1.28
856	Industrial truck and tractor equipment operators	5: Black	87,722	8.50	1.58	5.35	1.36	6.26	1.28	14.08	1.84	6.57	1.52	11.16	1.54	29.41	2.88
856	Industrial truck and tractor equipment operators	6: Other	7,090	2.88	2.76	2.88	2.76	2.88	2.76	12.74	5.91	6.28	4.38	0.00	0.00	26.42	7.38
856	Industrial truck and tractor equipment operators	7: Hispanic	50,177	7.40	1.95	6.54	1.84	6.48	2.01	12.03	2.35	5.14	1.78	7.96	2.10	18.65	2.56
856	Industrial truck and tractor equipment operators	8: NonHispanic	400,064	8.56	0.73	4.08	0.52	6.92	0.69	17.53	0.91	6.42	0.68	7.61	0.65	35.04	1.20
859	Miscellaneous material moving equipment operators	1: Total	117,109	9.49	1.49	4.29	1.16	7.90	1.46	19.50	2.04	7.05	1.36	6.03	1.29	36.32	2.49
859	Miscellaneous material moving equipment operators	2: Male	98,087	10.12	1.60	4.24	1.14	8.22	1.55	18.12	2.06	7.09	1.51	6.17	1.49	35.80	2.65
859	Miscellaneous material moving equipment operators	3: Female	19,023	6.26	2.64	4.55	2.40	6.26	2.64	26.59	5.31	6.89	3.42	5.32	2.31	39.03	5.13
859	Miscellaneous material moving equipment operators	4: White	96,955	9.92	1.69	4.18	1.35	8.40	1.62	19.69	2.30	7.41	1.49	5.35	1.38	37.56	2.94
859	Miscellaneous material moving equipment operators	5: Black	16,993	5.75	2.56	5.75	2.56	3.45	2.17	18.49	4.95	5.01	2.76	6.86	3.04	28.81	6.06
859	Miscellaneous material moving equipment operators	6: Other	3,161	16.42	14.61	0.00	0.00	16.42	14.61	18.93	11.38	7.04	6.51	22.44	15.14	38.70	15.27
859	Miscellaneous material moving equipment operators	7: Hispanic	9,740	4.54	3.14	0.00	0.00	2.17	2.13	12.57	5.84	10.01	6.00	4.74	3.28	18.76	5.85
859	Miscellaneous material moving equipment operators	8: NonHispanic	107,369	9.94	1.58	4.68	1.25	8.42	1.56	20.14	2.13	6.79	1.36	6.15	1.35	37.92	2.63
869	Construction laborers	1: Total	697,191	6.93	0.55	3.16	0.33	5.45	0.45	13.08	0.70	4.05	0.44	7.82	0.53	28.83	1.04
869	Construction laborers	2: Male	676,315	6.80	0.54	3.13	0.34	5.35	0.45	12.78	0.70	4.07	0.45	7.66	0.54	28.56	1.06
869	Construction laborers	3: Female	20,877	11.17	4.12	4.16	2.11	8.78	3.47	22.96	4.38	3.31	1.93	13.16	4.17	37.59	5.94
869	Construction laborers	4: White	585,900	7.06	0.63	3.17	0.36	5.41	0.50	13.29	0.79	4.08	0.47	7.24	0.59	29.22	1.15
869	Construction laborers	5: Black	97,045	6.23	1.25	3.12	0.96	5.80	1.21	10.59	1.72	4.47	0.98	10.92	1.63	25.98	2.31
869	Construction laborers	6: Other	14,246	6.67	3.22	3.07	2.97	4.99	3.00	21.34	5.53	0.00	0.00	10.73	4.18	31.91	6.31
869	Construction laborers	7: Hispanic	111,458	5.06	1.30	2.39	0.90	2.99	0.82	10.90	1.70	3.18	0.97	9.78	1.41	16.95	2.52
869	Construction laborers	8: NonHispanic	585,733	7.29	0.62	3.31	0.37	5.92	0.51	13.50	0.78	4.21	0.48	7.45	0.60	31.09	1.14
877	Stock handlers and baggers	1: Total	650,044	7.62	0.57	4.26	0.42	5.54	0.51	18.43	0.80	4.03	0.40	4.89	0.44	31.92	1.08
877	Stock handlers and baggers	2: Male	449,704	6.94	0.65	3.49	0.47	5.41	0.62	14.92	0.93	3.94	0.49	3.47	0.42	29.24	1.24
877	Stock handlers and baggers	3: Female	200,340	9.14	0.94	5.99	0.79	5.83	0.73	26.30	1.59	4.25	0.74	8.10	1.11	37.93	1.95
877	Stock handlers and baggers	4: White	550,640	7.65	0.60	4.40	0.46	5.42	0.55	19.28	0.86	3.87	0.43	4.42	0.45	33.75	1.16
877	Stock handlers and baggers	5: Black	77,266	8.29	1.65	4.47	1.27	6.68	1.59	12.34	2.36	4.30	1.16	8.47	1.68	21.43	2.44
877	Stock handlers and baggers	6: Other	22,138	4.55	2.34	0.00	0.00	4.55	2.34	18.40	4.76	7.15	2.76	4.28	2.16	23.11	4.78
877	Stock handlers and baggers	7: Hispanic	66,614	7.81	2.04	4.00	1.40	5.98	1.99	14.43	2.13	2.95	0.97	8.30	2.05	26.02	3.00
877	Stock handlers and baggers	8: NonHispanic	583,430	7.60	0.61	4.29	0.45	5.49	0.53	18.89	0.90	4.16	0.44	4.51	0.41	32.59	1.14
883	Freight, stock, and material handlers, nec.	1: Total	571,810	8.82	0.61	4.40	0.44	6.54	0.57	17.07	0.80	4.84	0.49	5.87	0.53	32.07	0.98
883	Freight, stock, and material handlers, nec.	2: Male	508,323	9.01	0.64	4.47	0.46	6.74	0.60	15.16	0.86	4.70	0.51	5.92	0.56	31.56	1.04
883	Freight, stock, and material handlers, nec.	3: Female	63,486	7.25	1.67	3.83	1.32	4.87	1.40	32.46	2.86	6.02	1.55	5.45	1.27	36.15	3.13
883	Freight, stock, and material handlers, nec.	4: White	450,810	8.89	0.66	4.77	0.51	6.76	0.59	18.20	0.91	5.05	0.57	5.35	0.59	33.96	1.06
883	Freight, stock, and material handlers, nec.	5: Black	105,087	7.86	1.39	2.72	0.87	5.04	1.19	11.28	1.57	4.49	1.29	7.62	1.35	24.43	2.26
883	Freight, stock, and material handlers, nec.	6: Other	15,913	12.87	4.60	4.85	2.88	10.07	4.55	23.41	6.95	1.34	1.35	8.78	4.17	28.77	5.28
883	Freight, stock, and material handlers, nec.	7: Hispanic	50,866	7.15	1.59	5.05	1.49	6.67	1.54	13.16	2.18	2.78	1.04	3.11	1.46	20.57	2.91
883	Freight, stock, and material handlers, nec.	8: NonHispanic	520,944	8.98	0.66	4.33	0.46	6.52	0.61	17.45	0.85	5.04	0.52	6.14	0.55	33.19	1.03
885	Garage and service station related occs	1: Total	158,092	6.94	1.12	3.94	0.89	5.21	0.94	13.67	1.39	5.24	1.03	6.39	1.03	31.70	1.79
885	Garage and service station related occs	2: Male	147,764	6.31	1.14	3.80	0.92	5.17	0.96	12.62	1.45	4.76	1.00	6.20	1.08	30.48	1.92
885	Garage and service station related occs	3: Female	10,328	15.91	7.26	5.87	4.19	5.87	4.19	28.55	8.11	12.08	6.25	9.05	5.26	49.08	7.57
885	Garage and service station related occs	4: White	138,660	7.11	1.25	4.11	0.97	5.44	1.03	14.20	1.49	5.64	1.17	6.39	1.14	32.91	1.88
885	Garage and service station related occs	5: Black	16,431	4.21	2.45	3.22	2.28	4.21	2.45	10.31	3.62	2.86	1.98	7.56	2.88	19.30	5.72
885	Garage and service station related occs	6: Other	3,002	14.09	12.90	0.00	0.00	0.00	0.00	7.08	7.00	0.00	0.00	0.00	0.00	43.78	16.80
885	Garage and service station related occs	7: Hispanic	18,420	7.40	3.56	6.32	3.46	6.23	3.56	4.82	2.05	4.19	3.03	1.33	1.27	17.32	4.54
885	Garage and service station related occs	8: NonHispanic	139,673	6.88	1.15	3.62	0.82	5.08	0.98	14.84	1.55	5.38	1.04	7.06	1.14	33.59	1.93
887	Vehicle washers and equipment cleaners	1: Total	167,519	7.53	1.06	4.08	0.80	5.06	0.82	13.42	1.40	5.41	0.87	8.87	1.42	30.49	1.99
887	Vehicle washers and equipment cleaners	2: Male	147,892	7.22	1.07	3.60	0.81	4.87	0.88	12.46	1.48	5.24	0.92	8.97	1.52	28.33	2.14
887	Vehicle washers and equipment cleaners	3: Female	19,627	9.92	3.26	7.72	2.91	6.53	2.61	20.74	5.68	6.64	2.71	8.07	3.99	46.78	5.60
887	Vehicle washers and equipment cleaners	4: White	125,081	8.09	1.25	4.17	0.92	5.51	1.03	12.22	1.60	6.42	1.10	7.70	1.68	31.40	2.40
887	Vehicle washers and equipment cleaners	5: Black	38,325	6.27	2.24	4.25	1.62	4.15	1.61	15.45	3.15	1.26	0.79	11.29	2.41	27.50	3.66
887	Vehicle washers and equipment cleaners	6: Other	4,113	2.25	2.28	0.00	0.00	0.00	0.00	30.72	13.24	13.06	11.84	22.11	11.33	30.48	11.42
887	Vehicle washers and equipment cleaners	7: Hispanic	23,866	6.47	2.55	3.24	2.17	4.67	2.24	12.46	4.21	2.03	1.39	13.73	6.69	27.41	6.48
887	Vehicle washers and equipment cleaners	8: NonHispanic	143,653	7.71	1.16	4.23	0.84	5.13	0.89	13.58	1.49	5.97	1.01	8.06	1.12	31.00	1.98
888	Hand packers and packagers	1: Total	245,670	8.96	0.98	4.42	0.75	7.56	0.89	21.91	1.33	6.66	0.76	10.20	1.01	34.34	1.36
888	Hand packers and packagers	2: Male	87,741	8.44	1.53	4.76	1.30	6.25	1.35	16.27	2.16	6.75	1.56	8.85	1.62	33.48	2.67
888	Hand packers and packagers	3: Female	157,929	9.25	1.22	4.23	0.83	8.29	1.14	25.05	1.61	6.61	0.89	10.95	1.37	34.82	1.69
888	Hand packers and packagers	4: White	195,457	9.29	1.16	4.33	0.80	8.10	1.09	24.08	1.57	6.63	0.90	10.95	1.23	37.55	1.58
888	Hand packers and packagers	5: Black	38,411	6.21	2.26	2.90	1.78	3.32	1.36	11.67	2.50	6.04	1.82	9.21	2.62	20.17	3.22
888	Hand packers and packagers	6: Other	11,801	12.46	4.82	10.82	4.53	12.46	4.82	19.07	6.62	9.24	6.10	0.98	0.99	27.44	7.17
888	Hand packers and packagers	7: Hispanic	36,892	8.50	2.56	4.62	1.90	6.62	2.09	19.42	3.73	8.15	2.12	18.72	3.93	27.93	3.12
888	Hand packers and packagers	8: NonHispanic	208,778	9.04	1.00	4.38	0.80	7.73	0.93	22.35	1.45	6.40	0.79	8.70	1.04	35.48	1.53
889	Laborers, except construction	1: Total	1,250,422	9.12	0.47	4.34	0.29	6.91	0.38	18.01	0.63	5.31	0.39	8.09	0.51	34.96	0.76
889	Laborers, except construction	2: Male	981,803	8.40	0.52	3.88	0.31	6.13	0.39	15.44	0.65	4.93	0.45	6.99	0.51	32.94	0.83
889	Laborers, except construction	3: Female	268,620	11.75	1.11	6.01	0.84	9.78	1.06	27.37	1.56	6.67	0.77	12.14	1.11	42.33	1.51
889	Laborers, except construction	4: White	994,022	9.16	0.55	4.36	0.35	6.67	0.45	19.07	0.69	5.36	0.45	6.88	0.45	36.10	0.89
889	Laborers, except construction	5: Black	216,372	9.51	1.04	4.49	0.64	8.34	1.02	13.11	1.30	4.97	0.83	13.54	1.78	30.73	1.87
889	Laborers, except construction	6: Other	40,029	5.84	2.19	2.84	1.28	5.20	2.07	17.80	3.15	5.86	1.95	8.59	2.62	29.34	3.81
889	Laborers, except construction	7: Hispanic	138,228	8.02	1.26	3.99	0.80	6.35	1.12	14.44	1.49	3.36	0.76	9.02	1.24	27.51	2.20
889	Laborers, except construction	8: NonHispanic	1,112,194	9.25	0.50	4.38	0.32	6.98	0.39	18.45	0.70	5.55	0.43	7.97	0.55	35.88	0.81