Table 13. Crude and Age Adjusted Liver Disease 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	Liver Disease Deaths	Crude Liver Disease Death Rate	Crude Liver Disease Death Rate SE	Age Adjusted Liver Disease Death Rate	Age Adjusted Liver Disease Death Rate SE
Officials and administrators public admin	1: Total	542,174	2,100	138	0	0	0	0	0
Officials and administrators public admin	2: Male	315,909	1,180	103	0	0	0	0	0
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	0	0	0	0	0
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	0	0	0	0	0
Managers administrators, except public administration	1: Total	11,337,987	43,160	2,540	49	9	1	7	1
Managers administrators, except public administration	2: Male	7,260,207	27,155	1,912	41	12	2	9	1
Managers administrators, except public administration	3: Female	4,077,780	16,005	628	8	4	2	3	1
Managers administrators, except public administration	4: White	10,358,556	39,192	2,307	46	10	1	7	1
Managers administrators, except public administration	5: Black	630,687	2,692	183	2	8	6	6	4
Managers administrators, except public administration	6: Other	348,745	1,276	50	1	2	2	2	2
Managers administrators, except public administration	7: Hispanic	537,742	2,010	110	3	18	12	15	9
Managers administrators, except public administration	8: NonHispanic	10,800,245	41,150	2,430	46	9	1	6	1
Management related occs	1: Total	3,975,190	15,154	758	12	7	2	7	3
Management related occs	2: Male	1,909,843	7,069	504	8	9	3	9	4
Management related occs	3: Female	2,065,347	8,085	254	4	4	2	4	2
Management related occs	4: White	3,508,911	13,257	685	11	7	2	7	3
Management related occs	5: Black	302,468	1,298	61	1	6	6	6	6
Management related occs	6: Other	163,811	599	12	0	0	0	0	0
Management related occs	7: Hispanic	208,368	775	44	2	19	14	16	12
Management related occs	8: NonHispanic	3,766,822	14,379	714	10	6	2	7	3
Engineers	1: Total	2,009,300	7,471	353	5	5	2	9	5
Engineers	2: Male	1,848,533	6,838	340	5	5	3	9	5
Engineers	3: Female	160,767	633	13	0	0	0	0	0
Engineers	4: White	1,780,112	6,629	307	5	6	3	9	6
Engineers	5: Black	85,626	312	21	0	0	0	0	0
Engineers	6: Other	143,563	530	25	0	0	0	0	0
Engineers	7: Hispanic	72,090	267	9	1	25	25	16	15
Engineers	8: NonHispanic	1,937,210	7,204	344	4	4	2	8	5
Architects and surveyors	1: Total	201,731	761	49	0	0	0	0	0
Architects and surveyors	2: Male	177,084	663	46	0	0	0	0	0
Architects and surveyors	3: Female	24,647	98	3	0	0	0	0	0
Architects and surveyors	4: White	186,076	702	47	0	0	0	0	0
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	0	0	0	0	0
Natural mathematical/computer scientists	1: Total	1,330,325	4,954	165	3	5	3	4	2
Natural mathematical/computer scientists	2: Male	907,823	3,331	137	3	8	5	5	3
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	2	5	3	3	2
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	23	23	12	12
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	3	6	3	4	2
Health diagnosing occs	1: Total	829,443	3,102	189	2	5	3	8	7
Health diagnosing occs	2: Male	668,142	2,468	166	1	3	3	2	2
Health diagnosing occs	3: Female	161,301	634	23	1	11	11	139	124
Health diagnosing occs	4: White	724,399	2,708	171	2	5	4	9	7
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	4	9	7
Health assessment/treating occs	1: Total	2,482,299	9,715	327	2	1	1	1	1
Health assessment/treating occs	2: Male	316,435	1,183	58	0	0	0	0	0
Health assessment/treating occs	3: Female	2,165,864	8,532	269	2	2	1	1	1
Health assessment/treating occs	4: White	2,133,040	8,221	259	2	2	1	1	1
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	2	2	1	1	1
Teachers, librarians, counselors	1: Total	5,231,152	20,354	803	8	3	1	3	1
Teachers, librarians, counselors	2: Male	1,642,027	6,167	366	7	8	3	5	2
Teachers, librarians, counselors	3: Female	3,589,125	14,187	437	1	1	1	1	1
Teachers, librarians, counselors	4: White	4,612,706	17,712	656	6	2	1	2	1
Teachers, librarians, counselors	5: Black	452,612	2,065	134	2	7	5	5	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	8	3	1	3	1
Writers, artists, entertainers, athletes	1: Total	1,971,725	7,298	383	5	8	4	6	3
Writers, artists, entertainers, athletes	2: Male	1,025,232	3,703	250	5	16	8	12	6
Writers, artists, entertainers, athletes	3: Female	946,492	3,595	133	0	0	0	0	0
Writers, artists, entertainers, athletes	4: White	1,799,120	6,660	346	4	8	5	6	3
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	1	29	29	15	15
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	5	8	5	7	3
Other professional specialty occs	1: Total	2,227,360	8,521	520	8	7	2	9	4
Other professional specialty occs	2: Male	1,332,391	4,953	380	4	6	3	7	4
Other professional specialty occs	3: Female	894,969	3,568	140	4	8	4	10	6
Other professional specialty occs	4: White	1,952,622	7,367	423	8	8	3	9	4
Other professional specialty occs	5: Black	225,915	973	88	0	0	0	0	0
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	0	0	0	0	0
Other professional specialty occs	8: NonHispanic	2,129,060	8,153	503	8	7	3	9	4
Health technologists/technicians	1: Total	1,357,639	5,410	202	8	16	7	12	5
Health technologists/technicians	2: Male	247,624	898	48	6	73	38	63	32
Health technologists/technicians	3: Female	1,110,015	4,512	154	2	4	2	3	1
Health technologists/technicians	4: White	1,091,114	4,217	154	8	20	9	15	6
Health technologists/technicians	5: Black	198,689	952	42	0	0	0	0	0
Health technologists/technicians	6: Other	67,836	241	6	0	0	0	0	0
Health technologists/technicians	7: Hispanic	89,019	334	11	2	42	29	27	19
Health technologists/technicians	8: NonHispanic	1,268,620	5,076	191	6	14	7	11	5
Technologists, technicians except health	1: Total	2,658,590	9,926	394	5	4	2	4	2
Technologists, technicians except health	2: Male	1,830,242	6,736	304	2	3	2	3	2
Technologists, technicians except health	3: Female	828,348	3,190	90	3	7	4	5	3
Technologists, technicians except health	4: White	2,305,125	8,541	327	4	4	2	4	2
Technologists, technicians except health	5: Black	191,172	795	49	0	0	0	0	0
Technologists, technicians except health	6: Other	162,293	590	18	1	12	12	6	6
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	5	5	2	4	2
Supervisors and proprietors	1: Total	3,596,023	13,631	848	12	6	2	9	3
Supervisors and proprietors	2: Male	2,315,820	8,610	626	11	9	3	12	5
Supervisors and proprietors	3: Female	1,280,203	5,021	222	1	1	1	1	1
Supervisors and proprietors	4: White	3,297,445	12,480	779	11	6	2	8	3
Supervisors and proprietors	5: Black	169,165	684	41	0	0	0	0	0
Supervisors and proprietors	6: Other	129,414	467	28	1	29	27	21	19
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	12	7	2	9	3
Sales representatives, commodities and finance	1: Total	3,603,720	13,483	860	11	5	2	5	2
Sales representatives, commodities and finance	2: Male	2,395,527	8,838	681	9	7	2	6	2
Sales representatives, commodities and finance	3: Female	1,208,194	4,645	179	2	3	2	2	2
Sales representatives, commodities and finance	4: White	3,373,892	12,582	826	11	6	2	5	2
Sales representatives, commodities and finance	5: Black	145,970	608	25	0	0	0	0	0
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	0	0	0	0	0
Sales representatives, commodities and finance	8: NonHispanic	3,448,101	12,897	839	11	6	2	5	2
Other sales	1: Total	5,892,896	22,506	1,229	16	7	2	8	2
Other sales	2: Male	2,016,522	7,429	573	10	12	4	15	5
Other sales	3: Female	3,876,373	15,077	656	6	4	2	4	2
Other sales	4: White	5,079,311	19,128	1,076	14	7	2	8	2
Other sales	5: Black	574,014	2,540	107	1	3	3	9	9
Other sales	6: Other	239,570	838	46	1	8	8	10	10
Other sales	7: Hispanic	453,580	1,726	54	0	0	0	0	0
Other sales	8: NonHispanic	5,439,315	20,780	1,175	16	7	2	8	2
Computer equipment operators	1: Total	670,109	2,588	90	1	3	3	2	2
Computer equipment operators	2: Male	239,795	871	35	1	7	7	6	6
Computer equipment operators	3: Female	430,315	1,717	55	0	0	0	0	0
Computer equipment operators	4: White	551,272	2,072	62	1	3	3	3	3
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	1	3	3	2	2
Secretaries, stenographers and typists	1: Total	4,413,986	17,163	672	6	2	1	2	1
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	6	2	1	2	1
Secretaries, stenographers and typists	4: White	3,926,331	14,967	602	6	3	1	2	1
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	6	2	1	2	1
Financial records processing occs	1: Total	2,245,512	8,741	495	6	7	3	6	3
Financial records processing occs	2: Male	220,612	807	84	1	8	8	6	6
Financial records processing occs	3: Female	2,024,900	7,934	411	5	6	3	6	3
Financial records processing occs	4: White	2,018,647	7,784	459	6	7	4	7	4
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	0	0	0	0	0
Financial records processing occs	7: Hispanic	118,397	461	17	1	15	15	9	9
Financial records processing occs	8: NonHispanic	2,127,115	8,280	478	5	6	3	6	3
Mail and message distributing	1: Total	914,844	3,637	211	2	4	3	3	2
Mail and message distributing	2: Male	583,219	2,240	169	2	6	4	5	4
Mail and message distributing	3: Female	331,625	1,397	42	0	0	0	0	0
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	0	0	0	0	0
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	1	27	26	16	16
Mail and message distributing	8: NonHispanic	842,036	3,362	197	1	2	2	2	2
Other administrative support	1: Total	9,296,535	36,170	1,711	24	5	1	7	2
Other administrative support	2: Male	2,592,119	9,574	662	11	8	3	7	2
Other administrative support	3: Female	6,704,416	26,596	1,049	13	4	1	7	3
Other administrative support	4: White	7,787,826	29,590	1,386	19	5	1	7	2
Other administrative support	5: Black	1,176,476	5,390	277	2	3	2	2	2
Other administrative support	6: Other	332,234	1,190	48	3	16	10	12	7
Other administrative support	7: Hispanic	733,149	2,783	114	4	11	6	9	5
Other administrative support	8: NonHispanic	8,563,386	33,387	1,597	20	5	1	7	2
Private household occs	1: Total	761,954	3,249	363	4	6	3	6	3
Private household occs	2: Male	36,030	141	19	0	0	0	0	0
Private household occs	3: Female	725,924	3,108	344	4	7	4	6	3
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	6	5	5	4
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	4	8	4	7	4
Police and firefighters	1: Total	1,157,796	4,333	197	3	4	3	5	3
Police and firefighters	2: Male	1,021,431	3,780	185	3	5	3	6	4
Police and firefighters	3: Female	136,365	553	12	0	0	0	0	0
Police and firefighters	4: White	973,160	3,614	165	3	5	3	6	4
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	32	31	154	158
Police and firefighters	8: NonHispanic	1,083,362	4,059	187	2	3	2	2	2
Other protective service occs	1: Total	793,111	3,059	370	8	20	8	19	7
Other protective service occs	2: Male	638,415	2,428	331	8	25	10	23	9
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	19	9	17	8
Other protective service occs	5: Black	172,579	779	97	3	27	23	29	27
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	1	33	33	31	31
Other protective service occs	8: NonHispanic	735,375	2,845	357	7	19	8	18	8
Food service	1: Total	4,570,186	17,691	929	24	10	2	16	4
Food service	2: Male	1,734,081	6,407	360	12	13	3	43	15
Food service	3: Female	2,836,105	11,284	569	12	7	2	8	2
Food service	4: White	3,677,566	13,893	703	21	11	2	18	5
Food service	5: Black	604,271	2,795	187	3	8	5	9	6
Food service	6: Other	288,349	1,003	39	0	0	0	0	0
Food service	7: Hispanic	537,477	2,037	90	3	11	6	15	8
Food service	8: NonHispanic	4,032,710	15,654	839	21	9	2	16	4
Health service	1: Total	1,986,806	8,338	479	5	4	2	3	2
Health service	2: Male	207,785	804	58	1	10	10	14	14
Health service	3: Female	1,779,022	7,534	421	4	3	2	3	1
Health service	4: White	1,377,005	5,363	287	2	3	2	2	2
Health service	5: Black	529,021	2,674	185	3	8	5	6	4
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	4	2	4	2
Cleaning and building service	1: Total	2,836,111	11,603	1,115	16	11	3	9	2
Cleaning and building service	2: Male	1,666,580	6,596	760	10	12	4	11	4
Cleaning and building service	3: Female	1,169,530	5,007	355	6	9	4	6	3
Cleaning and building service	4: White	2,035,113	7,847	700	10	10	3	8	3
Cleaning and building service	5: Black	670,658	3,301	381	4	8	5	7	4
Cleaning and building service	6: Other	130,339	455	34	2	28	21	21	15
Cleaning and building service	7: Hispanic	397,872	1,550	92	3	18	11	15	9
Cleaning and building service	8: NonHispanic	2,438,238	10,053	1,023	13	9	3	8	2
Personal service	1: Total	2,356,169	9,248	524	5	4	2	8	5
Personal service	2: Male	426,790	1,589	162	1	4	4	4	4
Personal service	3: Female	1,929,380	7,659	362	4	5	2	9	6
Personal service	4: White	1,985,097	7,544	379	5	5	2	10	6
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	2	21	14	22	16
Personal service	8: NonHispanic	2,170,450	8,534	485	3	3	2	7	5
Farm operators and managers	1: Total	1,399,369	5,632	825	6	8	4	6	3
Farm operators and managers	2: Male	1,168,400	4,670	740	4	6	4	5	3
Farm operators and managers	3: Female	230,968	962	85	2	14	10	13	9
Farm operators and managers	4: White	1,360,005	5,484	792	6	8	4	7	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	0	0	0	0	0
Farm operators and managers	8: NonHispanic	1,357,132	5,476	808	6	8	4	7	3
Farm workers and other agricultural workers	1: Total	1,616,443	6,309	536	12	15	4	21	7
Farm workers and other agricultural workers	2: Male	1,322,851	5,149	479	10	14	5	23	8
Farm workers and other agricultural workers	3: Female	293,592	1,160	57	2	16	11	16	12
Farm workers and other agricultural workers	4: White	1,421,858	5,488	404	8	11	4	16	6
Farm workers and other agricultural workers	5: Black	158,075	683	115	3	44	26	54	32
Farm workers and other agricultural workers	6: Other	36,510	138	17	1	45	47	38	39
Farm workers and other agricultural workers	7: Hispanic	373,069	1,446	86	3	15	10	17	12
Farm workers and other agricultural workers	8: NonHispanic	1,243,374	4,863	450	9	15	5	20	7
Forestry and fishing occs	1: Total	199,857	710	66	0	0	0	0	0
Forestry and fishing occs	2: Male	191,542	680	64	0	0	0	0	0
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	0	0	0	0	0
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: NonHispan