Table 12. Crude and Age Adjusted Suicide 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	Suicide Deaths	Crude Suicide Death Rate	Crude Suicide Death Rate SE	Age Adjusted Suicide Death Rate	Age Adjusted Suicide Death Rate SE
Officials and administrators public admin	1: Total	542,174	2,100	138	4	14	7	11	6
Officials and administrators public admin	2: Male	315,909	1,180	103	4	24	12	19	11
Officials and administrators public admin	3: Female	226,264	920	35	0	0	0	0	0
Officials and administrators public admin	4: White	472,920	1,810	118	4	16	8	12	7
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	0	0	0	0	0
Officials and administrators public admin	8: NonHispanic	518,736	2,013	133	4	14	7	11	6
Managers administrators, except public administration	1: Total	11,337,987	43,160	2,540	67	13	2	12	2
Managers administrators, except public administration	2: Male	7,260,207	27,155	1,912	54	17	2	16	3
Managers administrators, except public administration	3: Female	4,077,780	16,005	628	13	6	2	5	2
Managers administrators, except public administration	4: White	10,358,556	39,192	2,307	58	12	2	12	2
Managers administrators, except public administration	5: Black	630,687	2,692	183	6	15	7	13	5
Managers administrators, except public administration	6: Other	348,745	1,276	50	3	22	13	14	8
Managers administrators, except public administration	7: Hispanic	537,742	2,010	110	6	29	12	28	15
Managers administrators, except public administration	8: NonHispanic	10,800,245	41,150	2,430	61	12	2	11	2
Management related occs	1: Total	3,975,190	15,154	758	9	5	2	3	1
Management related occs	2: Male	1,909,843	7,069	504	6	7	3	5	2
Management related occs	3: Female	2,065,347	8,085	254	3	3	2	2	1
Management related occs	4: White	3,508,911	13,257	685	8	5	2	4	1
Management related occs	5: Black	302,468	1,298	61	1	6	6	4	4
Management related occs	6: Other	163,811	599	12	0	0	0	0	0
Management related occs	7: Hispanic	208,368	775	44	0	0	0	0	0
Management related occs	8: NonHispanic	3,766,822	14,379	714	9	5	2	4	1
Engineers	1: Total	2,009,300	7,471	353	17	19	5	15	4
Engineers	2: Male	1,848,533	6,838	340	15	18	5	13	3
Engineers	3: Female	160,767	633	13	2	33	24	26	19
Engineers	4: White	1,780,112	6,629	307	13	16	5	11	3
Engineers	5: Black	85,626	312	21	1	32	32	20	20
Engineers	6: Other	143,563	530	25	3	51	27	63	38
Engineers	7: Hispanic	72,090	267	9	0	0	0	0	0
Engineers	8: NonHispanic	1,937,210	7,204	344	17	20	5	15	4
Architects and surveyors	1: Total	201,731	761	49	2	23	16	14	10
Architects and surveyors	2: Male	177,084	663	46	2	26	19	16	12
Architects and surveyors	3: Female	24,647	98	3	0	0	0	0	0
Architects and surveyors	4: White	186,076	702	47	2	25	18	15	11
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	2	24	17	15	10
Natural mathematical/computer scientists	1: Total	1,330,325	4,954	165	8	14	5	11	4
Natural mathematical/computer scientists	2: Male	907,823	3,331	137	4	10	5	7	3
Natural mathematical/computer scientists	3: Female	422,502	1,623	28	4	22	11	18	9
Natural mathematical/computer scientists	4: White	1,154,319	4,289	149	8	16	6	12	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	0	0	0	0	0
Natural mathematical/computer scientists	7: Hispanic	48,104	178	6	1	41	41	54	55
Natural mathematical/computer scientists	8: NonHispanic	1,282,221	4,776	159	7	13	5	9	3
Health diagnosing occs	1: Total	829,443	3,102	189	2	5	3	3	2
Health diagnosing occs	2: Male	668,142	2,468	166	2	6	4	4	3
Health diagnosing occs	3: Female	161,301	634	23	0	0	0	0	0
Health diagnosing occs	4: White	724,399	2,708	171	2	5	4	4	3
Health diagnosing occs	5: Black	31,964	123	7	0	0	0	0	0
Health diagnosing occs	6: Other	73,080	271	11	0	0	0	0	0
Health diagnosing occs	7: Hispanic	41,633	146	5	0	0	0	0	0
Health diagnosing occs	8: NonHispanic	787,809	2,956	184	2	5	3	3	2
Health assessment/treating occs	1: Total	2,482,299	9,715	327	5	6	3	4	2
Health assessment/treating occs	2: Male	316,435	1,183	58	2	29	24	18	14
Health assessment/treating occs	3: Female	2,165,864	8,532	269	3	2	1	2	1
Health assessment/treating occs	4: White	2,133,040	8,221	259	5	7	4	5	2
Health assessment/treating occs	5: Black	230,708	1,045	59	0	0	0	0	0
Health assessment/treating occs	6: Other	118,550	449	9	0	0	0	0	0
Health assessment/treating occs	7: Hispanic	86,259	327	12	0	0	0	0	0
Health assessment/treating occs	8: NonHispanic	2,396,040	9,388	315	5	6	3	4	2
Teachers, librarians, counselors	1: Total	5,231,152	20,354	803	25	10	2	12	4
Teachers, librarians, counselors	2: Male	1,642,027	6,167	366	13	17	4	12	3
Teachers, librarians, counselors	3: Female	3,589,125	14,187	437	12	7	2	12	5
Teachers, librarians, counselors	4: White	4,612,706	17,712	656	23	11	2	13	4
Teachers, librarians, counselors	5: Black	452,612	2,065	134	2	6	5	6	4
Teachers, librarians, counselors	6: Other	165,834	577	13	0	0	0	0	0
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	25	11	2	13	4
Writers, artists, entertainers, athletes	1: Total	1,971,725	7,298	383	7	8	3	6	2
Writers, artists, entertainers, athletes	2: Male	1,025,232	3,703	250	6	14	6	10	4
Writers, artists, entertainers, athletes	3: Female	946,492	3,595	133	1	2	2	1	1
Writers, artists, entertainers, athletes	4: White	1,799,120	6,660	346	5	6	3	5	2
Writers, artists, entertainers, athletes	5: Black	103,027	396	24	2	46	34	36	24
Writers, artists, entertainers, athletes	6: Other	69,577	242	13	0	0	0	0	0
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	7	8	3	6	2
Other professional specialty occs	1: Total	2,227,360	8,521	520	9	8	2	7	2
Other professional specialty occs	2: Male	1,332,391	4,953	380	8	11	4	11	4
Other professional specialty occs	3: Female	894,969	3,568	140	1	2	2	1	1
Other professional specialty occs	4: White	1,952,622	7,367	423	8	8	3	7	2
Other professional specialty occs	5: Black	225,915	973	88	1	8	8	5	5
Other professional specialty occs	6: Other	48,823	181	9	0	0	0	0	0
Other professional specialty occs	7: Hispanic	98,301	368	17	1	26	26	18	18
Other professional specialty occs	8: NonHispanic	2,129,060	8,153	503	8	7	2	6	2
Health technologists/technicians	1: Total	1,357,639	5,410	202	6	8	3	8	4
Health technologists/technicians	2: Male	247,624	898	48	1	8	8	5	5
Health technologists/technicians	3: Female	1,110,015	4,512	154	5	8	4	9	5
Health technologists/technicians	4: White	1,091,114	4,217	154	4	7	3	5	3
Health technologists/technicians	5: Black	198,689	952	42	2	16	12	38	33
Health technologists/technicians	6: Other	67,836	241	6	0	0	0	0	0
Health technologists/technicians	7: Hispanic	89,019	334	11	0	0	0	0	0
Health technologists/technicians	8: NonHispanic	1,268,620	5,076	191	6	8	3	9	4
Technologists, technicians except health	1: Total	2,658,590	9,926	394	19	14	3	23	10
Technologists, technicians except health	2: Male	1,830,242	6,736	304	17	18	4	31	14
Technologists, technicians except health	3: Female	828,348	3,190	90	2	4	3	4	3
Technologists, technicians except health	4: White	2,305,125	8,541	327	17	14	3	24	10
Technologists, technicians except health	5: Black	191,172	795	49	1	12	12	11	11
Technologists, technicians except health	6: Other	162,293	590	18	1	11	10	6	6
Technologists, technicians except health	7: Hispanic	146,493	532	16	2	23	16	31	23
Technologists, technicians except health	8: NonHispanic	2,512,097	9,394	378	17	13	3	23	10
Supervisors and proprietors	1: Total	3,596,023	13,631	848	28	18	4	22	7
Supervisors and proprietors	2: Male	2,315,820	8,610	626	25	26	6	35	13
Supervisors and proprietors	3: Female	1,280,203	5,021	222	3	4	2	3	2
Supervisors and proprietors	4: White	3,297,445	12,480	779	22	16	4	21	8
Supervisors and proprietors	5: Black	169,165	684	41	1	19	19	11	11
Supervisors and proprietors	6: Other	129,414	467	28	5	74	34	57	27
Supervisors and proprietors	7: Hispanic	197,592	738	35	0	0	0	0	0
Supervisors and proprietors	8: NonHispanic	3,398,432	12,893	813	28	19	4	23	8
Sales representatives, commodities and finance	1: Total	3,603,720	13,483	860	23	14	3	13	3
Sales representatives, commodities and finance	2: Male	2,395,527	8,838	681	19	17	5	17	5
Sales representatives, commodities and finance	3: Female	1,208,194	4,645	179	4	6	3	5	2
Sales representatives, commodities and finance	4: White	3,373,892	12,582	826	21	14	3	13	3
Sales representatives, commodities and finance	5: Black	145,970	608	25	1	5	5	4	4
Sales representatives, commodities and finance	6: Other	83,858	293	9	1	23	23	17	16
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	23	14	4	13	4
Other sales	1: Total	5,892,896	22,506	1,229	23	9	2	8	2
Other sales	2: Male	2,016,522	7,429	573	14	16	4	15	4
Other sales	3: Female	3,876,373	15,077	656	9	5	2	5	2
Other sales	4: White	5,079,311	19,128	1,076	22	9	2	8	2
Other sales	5: Black	574,014	2,540	107	1	9	9	7	7
Other sales	6: Other	239,570	838	46	0	0	0	0	0
Other sales	7: Hispanic	453,580	1,726	54	1	5	5	9	9
Other sales	8: NonHispanic	5,439,315	20,780	1,175	22	9	2	8	2
Computer equipment operators	1: Total	670,109	2,588	90	2	8	6	5	4
Computer equipment operators	2: Male	239,795	871	35	1	7	7	4	4
Computer equipment operators	3: Female	430,315	1,717	55	1	8	8	5	5
Computer equipment operators	4: White	551,272	2,072	62	2	10	7	6	5
Computer equipment operators	5: Black	94,249	428	25	0	0	0	0	0
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	2	8	6	5	4
Secretaries, stenographers and typists	1: Total	4,413,986	17,163	672	8	4	1	5	2
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	8	4	1	5	2
Secretaries, stenographers and typists	4: White	3,926,331	14,967	602	8	4	1	5	2
Secretaries, stenographers and typists	5: Black	383,375	1,834	62	0	0	0	0	0
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	8	4	1	5	2
Financial records processing occs	1: Total	2,245,512	8,741	495	9	9	3	7	2
Financial records processing occs	2: Male	220,612	807	84	2	25	18	22	17
Financial records processing occs	3: Female	2,024,900	7,934	411	7	7	3	5	2
Financial records processing occs	4: White	2,018,647	7,784	459	8	9	3	7	2
Financial records processing occs	5: Black	141,277	649	22	0	0	0	0	0
Financial records processing occs	6: Other	85,588	308	14	1	26	26	18	18
Financial records processing occs	7: Hispanic	118,397	461	17	0	0	0	0	0
Financial records processing occs	8: NonHispanic	2,127,115	8,280	478	9	9	3	7	2
Mail and message distributing	1: Total	914,844	3,637	211	3	7	4	6	4
Mail and message distributing	2: Male	583,219	2,240	169	2	8	6	7	6
Mail and message distributing	3: Female	331,625	1,397	42	1	5	5	3	3
Mail and message distributing	4: White	694,766	2,659	158	2	7	6	7	5
Mail and message distributing	5: Black	178,086	825	47	1	6	6	4	4
Mail and message distributing	6: Other	41,992	153	6	0	0	0	0	0
Mail and message distributing	7: Hispanic	72,808	275	14	0	0	0	0	0
Mail and message distributing	8: NonHispanic	842,036	3,362	197	3	7	5	6	5
Other administrative support	1: Total	9,296,535	36,170	1,711	36	8	1	8	1
Other administrative support	2: Male	2,592,119	9,574	662	18	16	4	17	4
Other administrative support	3: Female	6,704,416	26,596	1,049	18	5	1	4	1
Other administrative support	4: White	7,787,826	29,590	1,386	33	9	2	8	1
Other administrative support	5: Black	1,176,476	5,390	277	1	2	2	1	1
Other administrative support	6: Other	332,234	1,190	48	2	16	10	11	7
Other administrative support	7: Hispanic	733,149	2,783	114	3	8	4	8	4
Other administrative support	8: NonHispanic	8,563,386	33,387	1,597	33	8	1	7	1
Private household occs	1: Total	761,954	3,249	363	1	0	0	0	0
Private household occs	2: Male	36,030	141	19	1	9	9	9	10
Private household occs	3: Female	725,924	3,108	344	0	0	0	0	0
Private household occs	4: White	525,115	2,039	172	0	0	0	0	0
Private household occs	5: Black	215,855	1,137	187	1	2	2	1	1
Private household occs	6: Other	20,984	73	4	0	0	0	0	0
Private household occs	7: Hispanic	128,949	511	22	0	0	0	0	0
Private household occs	8: NonHispanic	633,005	2,738	341	1	1	1	0	0
Police and firefighters	1: Total	1,157,796	4,333	197	5	9	4	38	32
Police and firefighters	2: Male	1,021,431	3,780	185	5	10	5	45	38
Police and firefighters	3: Female	136,365	553	12	0	0	0	0	0
Police and firefighters	4: White	973,160	3,614	165	5	11	5	42	36
Police and firefighters	5: Black	163,151	653	31	0	0	0	0	0
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	5	10	5	40	34
Other protective service occs	1: Total	793,111	3,059	370	6	15	6	16	6
Other protective service occs	2: Male	638,415	2,428	331	6	18	7	21	8
Other protective service occs	3: Female	154,696	631	39	0	0	0	0	0
Other protective service occs	4: White	596,080	2,188	264	5	18	8	18	8
Other protective service occs	5: Black	172,579	779	97	1	6	6	11	12
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	6	16	6	17	7
Food service	1: Total	4,570,186	17,691	929	22	10	2	11	3
Food service	2: Male	1,734,081	6,407	360	16	19	5	28	10
Food service	3: Female	2,836,105	11,284	569	6	4	2	3	1
Food service	4: White	3,677,566	13,893	703	18	10	3	12	4
Food service	5: Black	604,271	2,795	187	3	10	6	8	6
Food service	6: Other	288,349	1,003	39	1	7	7	6	6
Food service	7: Hispanic	537,477	2,037	90	1	4	4	3	3
Food service	8: NonHispanic	4,032,710	15,654	839	21	11	2	12	4
Health service	1: Total	1,986,806	8,338	479	5	5	3	4	2
Health service	2: Male	207,785	804	58	1	10	10	8	8
Health service	3: Female	1,779,022	7,534	421	4	5	3	4	2
Health service	4: White	1,377,005	5,363	287	5	8	4	6	3
Health service	5: Black	529,021	2,674	185	0	0	0	0	0
Health service	6: Other	80,780	301	7	0	0	0	0	0
Health service	7: Hispanic	157,020	614	30	0	0	0	0	0
Health service	8: NonHispanic	1,829,786	7,724	449	5	6	3	5	2
Cleaning and building service	1: Total	2,836,111	11,603	1,115	18	13	3	15	4
Cleaning and building service	2: Male	1,666,580	6,596	760	13	17	5	18	6
Cleaning and building service	3: Female	1,169,530	5,007	355	5	8	4	10	5
Cleaning and building service	4: White	2,035,113	7,847	700	17	18	4	18	5
Cleaning and building service	5: Black	670,658	3,301	381	0	0	0	0	0
Cleaning and building service	6: Other	130,339	455	34	1	17	17	46	49
Cleaning and building service	7: Hispanic	397,872	1,550	92	4	24	13	32	17
Cleaning and building service	8: NonHispanic	2,438,238	10,053	1,023	14	12	3	11	4
Personal service	1: Total	2,356,169	9,248	524	7	10	4	11	6
Personal service	2: Male	426,790	1,589	162	3	33	22	33	23
Personal service	3: Female	1,929,380	7,659	362	4	5	3	4	2
Personal service	4: White	1,985,097	7,544	379	7	12	5	12	7
Personal service	5: Black	276,853	1,380	127	0	0	0	0	0
Personal service	6: Other	94,219	324	18	0	0	0	0	0
Personal service	7: Hispanic	185,720	714	39	1	46	46	63	62
Personal service	8: NonHispanic	2,170,450	8,534	485	6	7	3	6	2
Farm operators and managers	1: Total	1,399,369	5,632	825	13	20	7	28	10
Farm operators and managers	2: Male	1,168,400	4,670	740	13	24	9	33	12
Farm operators and managers	3: Female	230,968	962	85	0	0	0	0	0
Farm operators and managers	4: White	1,360,005	5,484	792	12	19	7	28	11
Farm operators and managers	5: Black	26,581	99	26	0	0	0	0	0
Farm operators and managers	6: Other	12,783	49	7	1	144	130	102	97
Farm operators and managers	7: Hispanic	42,237	156	17	1	46	47	117	120
Farm operators and managers	8: NonHispanic	1,357,132	5,476	808	12	19	7	29	11
Farm workers and other agricultural workers	1: Total	1,616,443	6,309	536	15	18	5	14	4
Farm workers and other agricultural workers	2: Male	1,322,851	5,149	479	15	22	6	17	4
Farm workers and other agricultural workers	3: Female	293,592	1,160	57	0	0	0	0	0
Farm workers and other agricultural workers	4: White	1,421,858	5,488	404	14	19	5	13	4
Farm workers and other agricultural workers	5: Black	158,075	683	115	1	14	14	12	12
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	3	15	11	9	6
Farm workers and other agricultural workers	8: NonHispanic	1,243,374	4,863	450	12	18	5	14	4
Forestry and fishing occs	1: Total	199,857	710	66	5	57	27	121	72
Forestry and fishing occs	2: Male	191,542	680	64	5	59	29	123	73
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	5	67	33	131	76
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	0	0	0	0	0
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	59	28	123	73
Mechanics and repairers	1: Total	4,203,192	15,896	1,067	42	23	4	24	5
Mechanics and repairers	2: Male	4,037,571	15,240	1,042	41	23	4	25	5
Mechanics and repairers	3: Female	165,622	656	25	1	10	10	8	8
Mechanics and repairers	4: White	3,756,127	14,085	917	38	23	4	24	5
Mechanics and repairers	5: Black	334,805	1,419	127	2	17	13	19	14
Mechanics and repairers	6: Other	112,260	392	23	2	35	26	39	30
Mechanics and repairers	7: Hispanic	312,662	1,169	76	0	0	0	0	0
Mechanics and repairers	8: NonHispanic	3,890,530	14,727	991	42	24	4	26	5
Construction and extractive trades	1: Total	4,960,923	18,616	1,201	53	22	3	30	10
Construction and extractive trades	2: Male	4,852,370	18,184	1,188	52	22	3	30	10
Construction and extractive trades	3: Female	108,553	432	13	1	31	31	19	19
Construction and extractive trades	4: White	4,502,359	16,690	1,017	47	21	3	30	10
Construction and extractive trades	5: Black	350,909	1,555	161	5	25	12	23	11
Construction and extractive trades	6: Other	107,655	371	23	1	32	32	18	18
Construction and extractive trades	7: Hispanic	451,211	1,684	96	1	5	5	3	3
Construction and extractive trades	8: NonHispanic	4,509,712	16,932	1,105	52	24	3	33	11
Precision production occs	1: Total	3,766,588	14,577	955	19	11	3	9	2
Precision production occs	2: Male	2,894,734	11,063	794	18	14	3	11	3
Precision production occs	3: Female	871,854	3,514	161	1	2	2	2	2
Precision production occs	4: White	3,299,504	12,598	805	17	11	3	9	2
Precision production occs	5: Black	310,343	1,402	119	1	7	7	5	5
Precision production occs	6: Other	156,740	577	31	1	24	24	17	17
Precision production occs	7: Hispanic	343,542	1,307	72	1	11	11	8	8
Precision production occs	8: NonHispanic	3,423,046	13,270	883	18	11	3	9	2
Machine operators/tenderers, except precision	1: Total	5,221,401	20,578	1,351	37	14	2	15	4
Machine operators/tenderers, except precision	2: Male	3,134,398	12,011	871	34	21	4	23	7
Machine operators/tenderers, except precision	3: Female	2,087,003	8,567	480	3	3	2	2	1
Machine operators/tenderers, except precision	4: White	4,210,362	16,117	995	33	16	3	17	5
Machine operators/tenderers, except precision	5: Black	794,809	3,661	312	4	7	4	5	3
Machine operators/tenderers, except precision	6: Other	216,230	800	44	0	0	0	0	0
Machine operators/tenderers, except precision	7: Hispanic	660,521	2,591	148	2	5	4	29	27
Machine operators/tenderers, except precision	8: NonHispanic	4,560,880	17,987	1,203	35	15	3	12	2
Fabricators, assemblers, inspectors, samplers	1: Total	2,566,964	10,098	563	21	17	4	90	63
Fabricators, assemblers, inspectors, samplers	2: Male	1,581,326	6,083	359	18	25	7	148	89
Fabricators, assemblers, inspectors, samplers	3: Female	985,638	4,015	204	3	5	3	4	2
Fabricators, assemblers, inspectors, samplers	4: White	2,118,235	8,171	440	16	17	5	100	70
Fabricators, assemblers, inspectors, samplers	5: Black	336,777	1,505	106	4	18	10	19	12
Fabricators, assemblers, inspectors, samplers	6: Other	111,951	422	17	1	17	17	13	13
Fabricators, assemblers, inspectors, samplers	7: Hispanic	298,407	1,178	54	1	14	14	9	9
Fabricators, assemblers, inspectors, samplers	8: NonHispanic	2,268,557	8,920	509	20	18	4	90	63
Motor vehicle operators	1: Total	3,529,824	13,721	1,161	19	12	3	11	3
Motor vehicle operators	2: Male	3,147,698	12,143	1,078	19	14	3	12	3
Motor vehicle operators	3: Female	382,126	1,578	83	0	0	0	0	0
Motor vehicle operators	4: White	2,907,359	11,045	884	18	14	3	13	3
Motor vehicle operators	5: Black	536,222	2,373	250	1	3	3	2	2
Motor vehicle operators	6: Other	86,243	303	27	0	0	0	0	0
Motor vehicle operators	7: Hispanic	276,992	1,027	73	1	8	8	5	5
Motor vehicle operators	8: NonHispanic	3,252,832	12,694	1,088	18	13	3	11	3
Other transportation, except motor vehicles	1: Total	176,360	652	39	4	45	23	38	19
Other transportation, except motor vehicles	2: Male	170,736	630	38	4	47	23	39	20
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	4	50	25	41	21
Other transportation, except motor vehicles	5: Black	13,492	62	4	0	0	0	0	0
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	4	47	23	40	20
Material moving equipment operators	1: Total	1,094,233	4,232	329	7	12	5	13	6
Material moving equipment operators	2: Male	1,035,934	3,992	326	7	13	5	14	6
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	7	14	5	15	6
Material moving equipment operators	5: Black	152,242	652	79	0	0	0	0	0
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	7	13	5	14	6
Construction laborers	1: Total	697,191	2,631	183	7	18	7	17	7
Construction laborers	2: Male	676,315	2,554	179	7	19	7	18	8
Construction laborers	3: Female	20,877	77	4	0	0	0	0	0
Construction laborers	4: White	585,900	2,156	129	5	17	7	18	9
Construction laborers	5: Black	97,045	428	49	2	29	20	21	15
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	7	21	8	20	8
Freight, stock, material handlers	1: Total	3,410,507	13,227	843	27	16	3	20	6
Freight, stock, material handlers	2: Male	2,627,018	10,017	688	27	21	4	27	9
Freight, stock, material handlers	3: Female	783,489	3,210	155	0	0	0	0	0
Freight, stock, material handlers	4: White	2,733,823	10,319	592	26	20	4	23	7
Freight, stock, material handlers	5: Black	564,450	2,512	221	0	0	0	0	0
Freight, stock, material handlers	6: Other	112,233	396	30	1	17	18	17	17
Freight, stock, material handlers	7: Hispanic	379,154	1,441	70	4	23	12	20	10
Freight, stock, material handlers	8: NonHispanic	3,031,353	11,786	773	23	15	3	19	6