Table 7. Crude and Age Adjusted Cerebrovascular Mortality Rate/100,000 Person Years (+/- SE) among 41 Occupations by Socio-Demographic Subgroups
Occupation 41 Classes	Group	Estimated US Worker Population	Mortality Follow Up Sample Size	Total Deaths	Cerebrovascular Deaths	Crude Cerebrovascular Death Rate	Crude Cerebrovascular Death Rate SE	Age Adjusted Cerebrovascular Death Rate	Age Adjusted Cerebrovascular Death Rate SE
Officials and administrators public admin	1: Total	542,174	2,100	138	4	16	9	50	30
Officials and administrators public admin	2: Male	315,909	1,180	103	3	22	14	50	36
Officials and administrators public admin	3: Female	226,264	920	35	1	8	8	56	54
Officials and administrators public admin	4: White	472,920	1,810	118	4	19	10	51	31
Officials and administrators public admin	5: Black	49,487	219	16	0	0	0	0	0
Officials and administrators public admin	6: Other	19,766	71	4	0	0	0	0	0
Officials and administrators public admin	7: Hispanic	23,438	87	5	1	67	68	59	61
Officials and administrators public admin	8: NonHispanic	518,736	2,013	133	3	14	9	49	30
Managers administrators, except public administration	1: Total	11,337,987	43,160	2,540	116	21	2	49	8
Managers administrators, except public administration	2: Male	7,260,207	27,155	1,912	85	24	3	49	9
Managers administrators, except public administration	3: Female	4,077,780	16,005	628	31	16	3	49	14
Managers administrators, except public administration	4: White	10,358,556	39,192	2,307	105	21	2	48	8
Managers administrators, except public administration	5: Black	630,687	2,692	183	11	28	8	91	40
Managers administrators, except public administration	6: Other	348,745	1,276	50	0	0	0	0	0
Managers administrators, except public administration	7: Hispanic	537,742	2,010	110	5	20	8	20	8
Managers administrators, except public administration	8: NonHispanic	10,800,245	41,150	2,430	111	21	2	50	8
Management related occs	1: Total	3,975,190	15,154	758	34	17	4	43	11
Management related occs	2: Male	1,909,843	7,069	504	21	21	5	49	14
Management related occs	3: Female	2,065,347	8,085	254	13	14	4	27	14
Management related occs	4: White	3,508,911	13,257	685	32	19	4	44	11
Management related occs	5: Black	302,468	1,298	61	2	9	7	7	5
Management related occs	6: Other	163,811	599	12	0	0	0	0	0
Management related occs	7: Hispanic	208,368	775	44	1	9	9	7	7
Management related occs	8: NonHispanic	3,766,822	14,379	714	33	18	4	44	11
Engineers	1: Total	2,009,300	7,471	353	23	25	5	52	14
Engineers	2: Male	1,848,533	6,838	340	23	27	5	52	15
Engineers	3: Female	160,767	633	13	0	0	0	0	0
Engineers	4: White	1,780,112	6,629	307	20	25	5	52	15
Engineers	5: Black	85,626	312	21	2	47	34	63	47
Engineers	6: Other	143,563	530	25	1	13	14	27	27
Engineers	7: Hispanic	72,090	267	9	3	104	64	103	61
Engineers	8: NonHispanic	1,937,210	7,204	344	20	22	5	49	15
Architects and surveyors	1: Total	201,731	761	49	1	8	8	13	13
Architects and surveyors	2: Male	177,084	663	46	1	9	9	15	15
Architects and surveyors	3: Female	24,647	98	3	0	0	0	0	0
Architects and surveyors	4: White	186,076	702	47	1	9	9	14	14
Architects and surveyors	5: Black	7,204	26	0	0	0	0	0	0
Architects and surveyors	6: Other	8,451	33	2	0	0	0	0	0
Architects and surveyors	7: Hispanic	13,983	54	6	0	0	0	0	0
Architects and surveyors	8: NonHispanic	187,748	707	43	1	9	9	15	15
Natural mathematical/computer scientists	1: Total	1,330,325	4,954	165	5	8	3	8	4
Natural mathematical/computer scientists	2: Male	907,823	3,331	137	3	6	4	7	4
Natural mathematical/computer scientists	3: Female	422,502	1,623	28	2	10	7	10	8
Natural mathematical/computer scientists	4: White	1,154,319	4,289	149	4	7	3	8	4
Natural mathematical/computer scientists	5: Black	84,541	329	8	0	0	0	0	0
Natural mathematical/computer scientists	6: Other	91,465	336	8	1	27	27	15	14
Natural mathematical/computer scientists	7: Hispanic	48,104	178	6	0	0	0	0	0
Natural mathematical/computer scientists	8: NonHispanic	1,282,221	4,776	159	5	8	4	9	4
Health diagnosing occs	1: Total	829,443	3,102	189	13	44	18	74	32
Health diagnosing occs	2: Male	668,142	2,468	166	13	55	22	78	32
Health diagnosing occs	3: Female	161,301	634	23	0	0	0	0	0
Health diagnosing occs	4: White	724,399	2,708	171	9	43	20	70	32
Health diagnosing occs	5: Black	31,964	123	7	2	57	41	284	254
Health diagnosing occs	6: Other	73,080	271	11	2	47	33	29	20
Health diagnosing occs	7: Hispanic	41,633	146	5	0	0	0	0	0
Health diagnosing occs	8: NonHispanic	787,809	2,956	184	13	47	19	79	34
Health assessment/treating occs	1: Total	2,482,299	9,715	327	17	12	3	42	26
Health assessment/treating occs	2: Male	316,435	1,183	58	2	11	8	10	7
Health assessment/treating occs	3: Female	2,165,864	8,532	269	15	13	4	47	30
Health assessment/treating occs	4: White	2,133,040	8,221	259	13	12	4	45	28
Health assessment/treating occs	5: Black	230,708	1,045	59	3	11	6	9	5
Health assessment/treating occs	6: Other	118,550	449	9	1	16	16	12	12
Health assessment/treating occs	7: Hispanic	86,259	327	12	1	30	29	58	55
Health assessment/treating occs	8: NonHispanic	2,396,040	9,388	315	16	12	3	41	25
Teachers, librarians, counselors	1: Total	5,231,152	20,354	803	29	10	2	29	9
Teachers, librarians, counselors	2: Male	1,642,027	6,167	366	13	17	5	42	14
Teachers, librarians, counselors	3: Female	3,589,125	14,187	437	16	7	2	20	9
Teachers, librarians, counselors	4: White	4,612,706	17,712	656	22	10	2	26	9
Teachers, librarians, counselors	5: Black	452,612	2,065	134	5	14	7	32	22
Teachers, librarians, counselors	6: Other	165,834	577	13	2	25	18	82	77
Teachers, librarians, counselors	7: Hispanic	217,139	807	22	0	0	0	0	0
Teachers, librarians, counselors	8: NonHispanic	5,014,013	19,547	781	29	11	2	30	9
Writers, artists, entertainers, athletes	1: Total	1,971,725	7,298	383	24	30	6	77	19
Writers, artists, entertainers, athletes	2: Male	1,025,232	3,703	250	14	33	10	81	27
Writers, artists, entertainers, athletes	3: Female	946,492	3,595	133	10	27	9	74	28
Writers, artists, entertainers, athletes	4: White	1,799,120	6,660	346	22	31	7	77	19
Writers, artists, entertainers, athletes	5: Black	103,027	396	24	0	0	0	0	0
Writers, artists, entertainers, athletes	6: Other	69,577	242	13	2	60	45	188	158
Writers, artists, entertainers, athletes	7: Hispanic	93,668	348	9	0	0	0	0	0
Writers, artists, entertainers, athletes	8: NonHispanic	1,878,056	6,950	374	24	32	7	79	19
Other professional specialty occs	1: Total	2,227,360	8,521	520	28	23	4	60	14
Other professional specialty occs	2: Male	1,332,391	4,953	380	20	30	7	69	17
Other professional specialty occs	3: Female	894,969	3,568	140	8	14	6	16	7
Other professional specialty occs	4: White	1,952,622	7,367	423	20	20	5	51	14
Other professional specialty occs	5: Black	225,915	973	88	7	48	22	123	74
Other professional specialty occs	6: Other	48,823	181	9	1	47	47	491	0
Other professional specialty occs	7: Hispanic	98,301	368	17	1	17	17	11	11
Other professional specialty occs	8: NonHispanic	2,129,060	8,153	503	27	24	5	60	14
Health technologists/technicians	1: Total	1,357,639	5,410	202	6	8	3	39	31
Health technologists/technicians	2: Male	247,624	898	48	1	8	9	5	5
Health technologists/technicians	3: Female	1,110,015	4,512	154	5	8	4	56	50
Health technologists/technicians	4: White	1,091,114	4,217	154	5	9	4	43	34
Health technologists/technicians	5: Black	198,689	952	42	1	6	6	4	4
Health technologists/technicians	6: Other	67,836	241	6	0	0	0	0	0
Health technologists/technicians	7: Hispanic	89,019	334	11	1	26	27	36	35
Health technologists/technicians	8: NonHispanic	1,268,620	5,076	191	5	7	3	44	39
Technologists, technicians except health	1: Total	2,658,590	9,926	394	11	8	2	10	4
Technologists, technicians except health	2: Male	1,830,242	6,736	304	10	10	4	13	5
Technologists, technicians except health	3: Female	828,348	3,190	90	1	2	2	2	2
Technologists, technicians except health	4: White	2,305,125	8,541	327	9	7	3	10	4
Technologists, technicians except health	5: Black	191,172	795	49	1	7	7	10	10
Technologists, technicians except health	6: Other	162,293	590	18	1	11	11	12	12
Technologists, technicians except health	7: Hispanic	146,493	532	16	0	0	0	0	0
Technologists, technicians except health	8: NonHispanic	2,512,097	9,394	378	11	8	3	11	4
Supervisors and proprietors	1: Total	3,596,023	13,631	848	41	25	4	69	16
Supervisors and proprietors	2: Male	2,315,820	8,610	626	31	29	6	74	21
Supervisors and proprietors	3: Female	1,280,203	5,021	222	10	17	6	60	23
Supervisors and proprietors	4: White	3,297,445	12,480	779	41	27	4	73	16
Supervisors and proprietors	5: Black	169,165	684	41	0	0	0	0	0
Supervisors and proprietors	6: Other	129,414	467	28	0	0	0	0	0
Supervisors and proprietors	7: Hispanic	197,592	738	35	3	27	15	47	29
Supervisors and proprietors	8: NonHispanic	3,398,432	12,893	813	38	25	4	69	16
Sales representatives, commodities and finance	1: Total	3,603,720	13,483	860	36	20	4	57	14
Sales representatives, commodities and finance	2: Male	2,395,527	8,838	681	27	23	5	58	16
Sales representatives, commodities and finance	3: Female	1,208,194	4,645	179	9	15	6	46	19
Sales representatives, commodities and finance	4: White	3,373,892	12,582	826	34	20	4	57	14
Sales representatives, commodities and finance	5: Black	145,970	608	25	1	15	14	24	24
Sales representatives, commodities and finance	6: Other	83,858	293	9	1	24	24	39	38
Sales representatives, commodities and finance	7: Hispanic	155,619	586	21	0	0	0	0	0
Sales representatives, commodities and finance	8: NonHispanic	3,448,101	12,897	839	36	21	4	58	14
Other sales	1: Total	5,892,896	22,506	1,229	78	27	3	60	9
Other sales	2: Male	2,016,522	7,429	573	29	34	7	73	18
Other sales	3: Female	3,876,373	15,077	656	49	23	3	53	11
Other sales	4: White	5,079,311	19,128	1,076	68	27	3	58	10
Other sales	5: Black	574,014	2,540	107	5	16	8	71	45
Other sales	6: Other	239,570	838	46	5	40	16	52	22
Other sales	7: Hispanic	453,580	1,726	54	4	21	11	24	12
Other sales	8: NonHispanic	5,439,315	20,780	1,175	74	27	3	60	9
Computer equipment operators	1: Total	670,109	2,588	90	6	15	8	313	297
Computer equipment operators	2: Male	239,795	871	35	1	7	7	7	7
Computer equipment operators	3: Female	430,315	1,717	55	5	20	11	355	340
Computer equipment operators	4: White	551,272	2,072	62	4	16	8	455	415
Computer equipment operators	5: Black	94,249	428	25	2	18	14	36	28
Computer equipment operators	6: Other	24,588	88	3	0	0	0	0	0
Computer equipment operators	7: Hispanic	42,368	154	4	0	0	0	0	0
Computer equipment operators	8: NonHispanic	627,741	2,434	86	6	17	8	313	297
Secretaries, stenographers and typists	1: Total	4,413,986	17,163	672	23	10	2	26	11
Secretaries, stenographers and typists	2: Male	82,392	305	28	0	0	0	0	0
Secretaries, stenographers and typists	3: Female	4,331,594	16,858	644	23	10	2	27	12
Secretaries, stenographers and typists	4: White	3,926,331	14,967	602	19	10	2	26	11
Secretaries, stenographers and typists	5: Black	383,375	1,834	62	4	13	9	16	13
Secretaries, stenographers and typists	6: Other	104,279	362	8	0	0	0	0	0
Secretaries, stenographers and typists	7: Hispanic	268,104	1,020	29	0	0	0	0	0
Secretaries, stenographers and typists	8: NonHispanic	4,145,882	16,143	643	23	11	2	26	11
Financial records processing occs	1: Total	2,245,512	8,741	495	23	21	5	58	18
Financial records processing occs	2: Male	220,612	807	84	5	46	25	56	30
Financial records processing occs	3: Female	2,024,900	7,934	411	18	18	4	63	22
Financial records processing occs	4: White	2,018,647	7,784	459	21	21	5	59	18
Financial records processing occs	5: Black	141,277	649	22	1	12	12	13	13
Financial records processing occs	6: Other	85,588	308	14	1	31	31	22	23
Financial records processing occs	7: Hispanic	118,397	461	17	1	15	14	16	16
Financial records processing occs	8: NonHispanic	2,127,115	8,280	478	22	21	5	59	18
Mail and message distributing	1: Total	914,844	3,637	211	13	28	9	90	52
Mail and message distributing	2: Male	583,219	2,240	169	9	34	12	95	55
Mail and message distributing	3: Female	331,625	1,397	42	4	16	9	29	16
Mail and message distributing	4: White	694,766	2,659	158	9	27	9	97	61
Mail and message distributing	5: Black	178,086	825	47	2	10	8	25	21
Mail and message distributing	6: Other	41,992	153	6	2	123	88	120	89
Mail and message distributing	7: Hispanic	72,808	275	14	1	28	27	25	23
Mail and message distributing	8: NonHispanic	842,036	3,362	197	12	28	9	99	62
Other administrative support	1: Total	9,296,535	36,170	1,711	78	16	2	67	14
Other administrative support	2: Male	2,592,119	9,574	662	21	16	4	51	19
Other administrative support	3: Female	6,704,416	26,596	1,049	57	17	2	76	20
Other administrative support	4: White	7,787,826	29,590	1,386	65	17	2	66	14
Other administrative support	5: Black	1,176,476	5,390	277	11	15	5	49	25
Other administrative support	6: Other	332,234	1,190	48	2	11	7	14	9
Other administrative support	7: Hispanic	733,149	2,783	114	5	16	8	82	64
Other administrative support	8: NonHispanic	8,563,386	33,387	1,597	73	16	2	66	14
Private household occs	1: Total	761,954	3,249	363	25	62	13	57	12
Private household occs	2: Male	36,030	141	19	1	64	64	59	62
Private household occs	3: Female	725,924	3,108	344	24	62	13	57	12
Private household occs	4: White	525,115	2,039	172	9	35	12	42	15
Private household occs	5: Black	215,855	1,137	187	16	135	35	84	22
Private household occs	6: Other	20,984	73	4	0	0	0	0	0
Private household occs	7: Hispanic	128,949	511	22	2	29	21	23	16
Private household occs	8: NonHispanic	633,005	2,738	341	23	69	15	58	12
Police and firefighters	1: Total	1,157,796	4,333	197	9	14	5	17	7
Police and firefighters	2: Male	1,021,431	3,780	185	8	15	5	18	8
Police and firefighters	3: Female	136,365	553	12	1	8	7	8	7
Police and firefighters	4: White	973,160	3,614	165	6	13	5	16	8
Police and firefighters	5: Black	163,151	653	31	3	22	12	25	15
Police and firefighters	6: Other	21,485	66	1	0	0	0	0	0
Police and firefighters	7: Hispanic	74,433	274	10	0	0	0	0	0
Police and firefighters	8: NonHispanic	1,083,362	4,059	187	9	15	5	17	7
Other protective service occs	1: Total	793,111	3,059	370	15	39	11	57	20
Other protective service occs	2: Male	638,415	2,428	331	13	44	13	57	25
Other protective service occs	3: Female	154,696	631	39	2	19	14	61	46
Other protective service occs	4: White	596,080	2,188	264	10	38	13	53	22
Other protective service occs	5: Black	172,579	779	97	5	49	23	75	39
Other protective service occs	6: Other	24,452	92	9	0	0	0	0	0
Other protective service occs	7: Hispanic	57,736	214	13	0	0	0	0	0
Other protective service occs	8: NonHispanic	735,375	2,845	357	15	42	12	59	21
Food service	1: Total	4,570,186	17,691	929	42	18	3	48	10
Food service	2: Male	1,734,081	6,407	360	10	13	4	40	16
Food service	3: Female	2,836,105	11,284	569	32	22	4	51	13
Food service	4: White	3,677,566	13,893	703	30	16	3	48	12
Food service	5: Black	604,271	2,795	187	11	35	12	46	18
Food service	6: Other	288,349	1,003	39	1	6	6	39	44
Food service	7: Hispanic	537,477	2,037	90	4	16	8	33	19
Food service	8: NonHispanic	4,032,710	15,654	839	38	18	3	48	11
Health service	1: Total	1,986,806	8,338	479	23	20	5	47	16
Health service	2: Male	207,785	804	58	1	5	5	68	71
Health service	3: Female	1,779,022	7,534	421	22	21	5	48	17
Health service	4: White	1,377,005	5,363	287	13	18	5	44	19
Health service	5: Black	529,021	2,674	185	10	27	10	64	30
Health service	6: Other	80,780	301	7	0	0	0	0	0
Health service	7: Hispanic	157,020	614	30	2	23	16	18	12
Health service	8: NonHispanic	1,829,786	7,724	449	21	19	5	48	17
Cleaning and building service	1: Total	2,836,111	11,603	1,115	57	44	6	74	18
Cleaning and building service	2: Male	1,666,580	6,596	760	40	61	10	98	26
Cleaning and building service	3: Female	1,169,530	5,007	355	17	21	6	34	10
Cleaning and building service	4: White	2,035,113	7,847	700	30	37	7	74	23
Cleaning and building service	5: Black	670,658	3,301	381	24	63	15	76	19
Cleaning and building service	6: Other	130,339	455	34	3	53	32	43	26
Cleaning and building service	7: Hispanic	397,872	1,550	92	6	49	18	169	108
Cleaning and building service	8: NonHispanic	2,438,238	10,053	1,023	51	43	6	61	12
Personal service	1: Total	2,356,169	9,248	524	30	22	4	58	16
Personal service	2: Male	426,790	1,589	162	9	40	13	134	61
Personal service	3: Female	1,929,380	7,659	362	21	18	4	38	9
Personal service	4: White	1,985,097	7,544	379	22	20	5	50	13
Personal service	5: Black	276,853	1,380	127	8	42	17	135	101
Personal service	6: Other	94,219	324	18	0	0	0	0	0
Personal service	7: Hispanic	185,720	714	39	3	32	19	63	41
Personal service	8: NonHispanic	2,170,450	8,534	485	27	21	4	57	17
Farm operators and managers	1: Total	1,399,369	5,632	825	49	71	11	60	10
Farm operators and managers	2: Male	1,168,400	4,670	740	43	75	12	59	10
Farm operators and managers	3: Female	230,968	962	85	6	52	22	64	28
Farm operators and managers	4: White	1,360,005	5,484	792	47	71	11	60	10
Farm operators and managers	5: Black	26,581	99	26	2	113	77	99	84
Farm operators and managers	6: Other	12,783	49	7	0	0	0	0	0
Farm operators and managers	7: Hispanic	42,237	156	17	0	0	0	0	0
Farm operators and managers	8: NonHispanic	1,357,132	5,476	808	49	73	12	61	10
Farm workers and other agricultural workers	1: Total	1,616,443	6,309	536	34	40	7	83	17
Farm workers and other agricultural workers	2: Male	1,322,851	5,149	479	30	44	8	95	20
Farm workers and other agricultural workers	3: Female	293,592	1,160	57	4	21	11	29	17
Farm workers and other agricultural workers	4: White	1,421,858	5,488	404	28	39	8	85	19
Farm workers and other agricultural workers	5: Black	158,075	683	115	6	60	24	97	46
Farm workers and other agricultural workers	6: Other	36,510	138	17	0	0	0	0	0
Farm workers and other agricultural workers	7: Hispanic	373,069	1,446	86	7	42	17	63	35
Farm workers and other agricultural workers	8: NonHispanic	1,243,374	4,863	450	27	39	8	81	17
Forestry and fishing occs	1: Total	199,857	710	66	5	50	27	47	25
Forestry and fishing occs	2: Male	191,542	680	64	5	52	28	49	26
Forestry and fishing occs	3: Female	8,315	30	2	0	0	0	0	0
Forestry and fishing occs	4: White	170,245	599	48	4	46	29	46	29
Forestry and fishing occs	5: Black	23,999	93	16	0	0	0	0	0
Forestry and fishing occs	6: Other	5,614	18	2	1	359	374	439	463
Forestry and fishing occs	7: Hispanic	6,092	23	0	0	0	0	0	0
Forestry and fishing occs	8: NonHispanic	193,766	687	66	5	51	28	47	25
Mechanics and repairers	1: Total	4,203,192	15,896	1,067	36	20	3	26	6
Mechanics and repairers	2: Male	4,037,571	15,240	1,042	36	20	3	27	6
Mechanics and repairers	3: Female	165,622	656	25	0	0	0	0	0
Mechanics and repairers	4: White	3,756,127	14,085	917	30	19	3	25	6
Mechanics and repairers	5: Black	334,805	1,419	127	6	34	16	45	24
Mechanics and repairers	6: Other	112,260	392	23	0	0	0	0	0
Mechanics and repairers	7: Hispanic	312,662	1,169	76	4	26	12	26	14
Mechanics and repairers	8: NonHispanic	3,890,530	14,727	991	32	19	3	26	6
Construction and extractive trades	1: Total	4,960,923	18,616	1,201	41	17	3	33	10
Construction and extractive trades	2: Male	4,852,370	18,184	1,188	40	17	3	34	10
Construction and extractive trades	3: Female	108,553	432	13	1	14	15	13	14
Construction and extractive trades	4: White	4,502,359	16,690	1,017	34	15	3	31	11
Construction and extractive trades	5: Black	350,909	1,555	161	7	35	14	60	26
Construction and extractive trades	6: Other	107,655	371	23	0	0	0	0	0
Construction and extractive trades	7: Hispanic	451,211	1,684	96	2	8	6	6	4
Construction and extractive trades	8: NonHispanic	4,509,712	16,932	1,105	39	17	3	34	10
Precision production occs	1: Total	3,766,588	14,577	955	46	27	4	81	25
Precision production occs	2: Male	2,894,734	11,063	794	33	24	4	69	22
Precision production occs	3: Female	871,854	3,514	161	13	37	11	96	53
Precision production occs	4: White	3,299,504	12,598	805	37	25	4	80	26
Precision production occs	5: Black	310,343	1,402	119	5	33	17	57	37
Precision production occs	6: Other	156,740	577	31	4	57	31	60	38
Precision production occs	7: Hispanic	343,542	1,307	72	6	45	19	38	16
Precision production occs	8: NonHispanic	3,423,046	13,270	883	40	25	4	80	25
Machine operators/tenderers, except precision	1: Total	5,221,401	20,578	1,351	65	23	3	38	7
Machine operators/tenderers, except precision	2: Male	3,134,398	12,011	871	35	22	4	34	8
Machine operators/tenderers, except precision	3: Female	2,087,003	8,567	480	30	25	5	41	12
Machine operators/tenderers, except precision	4: White	4,210,362	16,117	995	46	22	3	36	8
Machine operators/tenderers, except precision	5: Black	794,809	3,661	312	16	29	7	39	20
Machine operators/tenderers, except precision	6: Other	216,230	800	44	3	27	16	96	78
Machine operators/tenderers, except precision	7: Hispanic	660,521	2,591	148	11	29	7	41	17
Machine operators/tenderers, except precision	8: NonHispanic	4,560,880	17,987	1,203	54	22	3	37	7
Fabricators, assemblers, inspectors, samplers	1: Total	2,566,964	10,098	563	34	26	6	89	38
Fabricators, assemblers, inspectors, samplers	2: Male	1,581,326	6,083	359	18	22	5	44	19
Fabricators, assemblers, inspectors, samplers	3: Female	985,638	4,015	204	16	31	11	152	93
Fabricators, assemblers, inspectors, samplers	4: White	2,118,235	8,171	440	24	24	6	83	44
Fabricators, assemblers, inspectors, samplers	5: Black	336,777	1,505	106	9	38	13	157	111
Fabricators, assemblers, inspectors, samplers	6: Other	111,951	422	17	1	17	17	15	15
Fabricators, assemblers, inspectors, samplers	7: Hispanic	298,407	1,178	54	4	25	12	32	21
Fabricators, assemblers, inspectors, samplers	8: NonHispanic	2,268,557	8,920	509	30	26	6	90	38
Motor vehicle operators	1: Total	3,529,824	13,721	1,161	33	20	4	24	6
Motor vehicle operators	2: Male	3,147,698	12,143	1,078	30	20	4	22	5
Motor vehicle operators	3: Female	382,126	1,578	83	3	16	11	59	50
Motor vehicle operators	4: White	2,907,359	11,045	884	24	19	4	23	6
Motor vehicle operators	5: Black	536,222	2,373	250	9	29	11	37	18
Motor vehicle operators	6: Other	86,243	303	27	0	0	0	0	0
Motor vehicle operators	7: Hispanic	276,992	1,027	73	4	48	28	40	23
Motor vehicle operators	8: NonHispanic	3,252,832	12,694	1,088	29	17	4	22	6
Other transportation, except motor vehicles	1: Total	176,360	652	39	2	13	10	8	6
Other transportation, except motor vehicles	2: Male	170,736	630	38	2	13	10	9	7
Other transportation, except motor vehicles	3: Female	5,625	22	1	0	0	0	0	0
Other transportation, except motor vehicles	4: White	160,282	583	35	1	10	10	6	6
Other transportation, except motor vehicles	5: Black	13,492	62	4	1	50	50	29	30
Other transportation, except motor vehicles	6: Other	2,587	7	0	0	0	0	0	0
Other transportation, except motor vehicles	7: Hispanic	6,341	20	2	0	0	0	0	0
Other transportation, except motor vehicles	8: NonHispanic	170,020	632	37	2	13	10	8	7
Material moving equipment operators	1: Total	1,094,233	4,232	329	12	18	5	33	15
Material moving equipment operators	2: Male	1,035,934	3,992	326	12	19	5	34	16
Material moving equipment operators	3: Female	58,299	240	3	0	0	0	0	0
Material moving equipment operators	4: White	919,315	3,493	246	9	17	5	36	20
Material moving equipment operators	5: Black	152,242	652	79	3	25	14	28	18
Material moving equipment operators	6: Other	22,676	87	4	0	0	0	0	0
Material moving equipment operators	7: Hispanic	88,147	345	19	0	0	0	0	0
Material moving equipment operators	8: NonHispanic	1,006,086	3,887	310	12	19	5	35	16
Construction laborers	1: Total	697,191	2,631	183	4	10	6	9	6
Construction laborers	2: Male	676,315	2,554	179	4	10	6	10	6
Construction laborers	3: Female	20,877	77	4	0	0	0	0	0
Construction laborers	4: White	585,900	2,156	129	1	3	3	3	3
Construction laborers	5: Black	97,045	428	49	3	48	29	43	26
Construction laborers	6: Other	14,246	47	5	0	0	0	0	0
Construction laborers	7: Hispanic	111,458	405	17	0	0	0	0	0
Construction laborers	8: NonHispanic	585,733	2,226	166	4	11	7	11	7
Freight, stock, material handlers	1: Total	3,410,507	13,227	843	51	29	4	105	35
Freight, stock, material handlers	2: Male	2,627,018	10,017	688	42	30	5	103	41
Freight, stock, material handlers	3: Female	783,489	3,210	155	9	26	10	114	64
Freight, stock, material handlers	4: White	2,733,823	10,319	592	29	21	4	70	23
Freight, stock, material handlers	5: Black	564,450	2,512	221	19	61	15	243	146
Freight, stock, material handlers	6: Other	112,233	396	30	3	49	29	44	26
Freight, stock, material handlers	7: Hispanic	379,154	1,441	70	3	14	8	10	6
Freight, stock, material handlers	8: NonHispanic	3,031,353	11,786	773	48	30	5	109	36