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