## P. 1



# OAR Box 1669 Prepped byCharmelie Mathews



# Document

Number:

Docket Number: 

# A-98-1 3

Printed 9/23/2008 9:36:49 AM

Sheet 104 of 110

# i ' 

# AJ -?r- '3

• 3Z-X-I~2- P. 2



# 199 6 Annua l Surve

yo fManufacture s

M96(AS)- 1 

# Statistic s fo rIndustry Group s an d Industrie s

(Includin g Capita l Expenditures , Inventories , an d Supplementa l Labor , Fuel , an d Electri c Energ yCosts )



# \¥M r 6 200 I

EP AAI R DOCKE T



# U.S

. Departmen t o fCommerc e Economics an d Statistic s Administratio n

BUREA U O F TH E CENSU S

## P. 3



# Acknowledgment s

Jud yDodds , Assistan t Chie ffo rCensu s an d Relate d Programs , wa s responsibl e fo rth e overal l managemen t o fth e Annua l Surveyo fManufacture s (ASM)

. Sh e guide d th e plannin g an d implementatio n ofth e projec t an d coordinate d activitie s wit h othe rdivisions

. Th e revie wan d analysi s o fth e data were performe d b yManufacturin g an d Constructio n Divisio n analyst s unde rth e directio n o fKennet h I

. Hanson , Chiefofth e Manufacture d Durable s Branch , an d Michae l J

. Zampogna , Chie fo fth e Manufacture d Nondurable s Branch , assiste d byMichae l Brown , Raphae l S

. Corrado , A l Foreman , Mende l Gayle , Rober t Miller , Rober

t Reinard , Nathanie l Shelton , Milbre n Thomas , Bria n Appert , Zoraid a Arledge , Stani s Batton , Caro l Beasley , Chri s Blackburn , Larr

yBlumberg , Vera Harris-Bourne , Brend a Campbell , Kimberl yCredito , Renee Coley , Suzann e Conard , Mar yEllickson , Merr

yGlascoe , Indre k

Grabbi , Kaylen e Hanks , Kare n Harshbarger , NancyHiggins , Walte rR

. Hunte rJr. , Ji m Jamski , AndrewKraynak , Ronann e McConkey , Keit h McKenzie , Philippe Morris , Joann a T.Q

. Nguyen , Bett yPanned , Joyce Pomeroy , Stephe n Pope , Venita Powell , Armint a Quash , Annett e Ralston , Cind i Ramsey , Joh n C

. Savage , Wand a Sledd , Susa n Sundermann , Dor a Thomas , An n Truffa , Richard Wiesler , Kristi n Williams , Lissen e Witt , an d Mik e Yamaner

. Th e coordinatio n activities , suc h as developin g specification s an d procedure s an d liaiso n wit h th e Dat a Preparatio n Division , were conducte d bySheil a Proudfoot , Rober t A

. Rosati , Denni s Scheurich , Richard Sterner , Richard Williamson , an d Brand yYarbroug h unde rth e directio n o fDenni s L

. Shoemaker , Chief , Post Collectio n Censu s Branch

. Unde rth e directio n o fA

. Willia m Visnansky , Chief , Specia l Reports Branch , Barut i A

. Taylo r an d Juliu s Smit h assiste d byVeronic a White performe d th e overal l coordinatio n o fth e publicatio n process

. Th e desig n an d implementatio n o fth e sample , a s wel l a s th e coverag e operation s designe d t o maintai n th e qualityo fth e sampl e were provide d b yth e Researc h an d Methodolog yStaff

. Thi s staf f als o wa s responsibl e fo rth e developmen t o fth e estimatio n procedure s use d byth e surve y includin g estimate s o freliabilityshow n i n th e publishe d tables

. Keymember s o fth e Researc h an d Methodolog yStaf

finclude d StaceyCole , Dougla s Bond , Cath yRitenour , an d Rober t Struble

. Thi s staf fworke d unde rth e directio n ofBria n V

. Greenberg , Assistan t Chie ffo rResearc h an d Methodology

. Th e compute rprocessin g system s were develope d an d coordinate d unde rth e directio n o f Marti n S

. Harahush , Assistan t Chie fQuinquennia l Programs , Economi cStatistica l Method s an d Programmin g Division

. RoySmith , Hug h Watters , Venanci o Aguirre , Georg e Boerckel , Rober t Conard , Phuong-Ma i Do , Florence Gapsis , Joh n Goshorn , Lor i Guido , Virgini a Hicks , Trac i Least , Hie u Nguyen , an d Charle s Stou t develope d th e compute reditin g an d tabulatio n program s unde rth e directio n o fGar yT

. Sheridan , Chief , Manufacturin g an d Constructio n Programmin g Branch

. Mailou t preparatio n ari d receip t operations , clerica l an d analytica l revie wactivities , dat a keying , an d geocodin g revie wwer e performe d i n th e Dat a Preparatio n Divisio n unde rth e directio n o f Judit h N

. Petty , Chief

. Th e staf fo fAdministrativ e an d Custome rService s Division , Walte rC

. Odom , Chief , performe d publicatio n planning , design , composition , editoria l review , an d printin g plannin g an d procuremen t Cynthi a G

. Brook

s provide d publicatio n coordinatio n an d editing

. Specia l acknowledgmen t i s du e t o th e man ybusinesse s whos e cooperatio n wa s essentia l t o th e succes s o fth e survey

.


# 9-

## P. 4



# /4SI\I \

199 6 Annua l Surve yo fManufacture s M96(AS)- 1 

# Statistic s fo rIndustr

y Group s an d Industrie s

(Includin g Capita l Expenditures , Inventories , an d Supplementa l Labor , Fuel , an d Electri cEnerg yCosts )

Issue d Februar

y199 8

TOF C



### *»!-ro5

_o f 

# U.S

. Departmen t o fCommerc e Willia m M

. Daley , Secretar y Rober t L

. Mallett , Deput

ySecretar y Economic s an d Statistic s Administratio n Le e Price , Actin g Unde rSecretar y fo rEconomi cAffairs BUREAU OF TH E CENSUS Jame s F

. Holmes , Actin g Directo r

### P. 5



## W WW W



# _ _ _ ECONOMIC S AN D STATISTIC S 

### ADMINISTRATIO N 

# Economic s an d Statistic s Administratio n Le e Price , Actin g Unde rSecretary fo rEconomi c Affairs BUREA U O F TH E CENSU S Jame s F

. Holmes , Actin g Directo r Bradfor d R

. Huther , DeputyDirecto r Paul a J

. Schneider , Principa l Associat e Directorfo rPrograms Frederic k

T

. Knickerbocker , Associat e Directorfo rEconomic Program s Thomas L

. Mesenbourg , Assistant Directo r forEconomic Programs ECONOMI C PLANNIN G AN D COORDINATIO N DIVISIO N Joh n P

. Govoni , Chie

f MANUFACTURIN G AN D CONSTRUCTIO N DIVISIO N Davi d W

. Cartwright , Chie f

Fo rsal e bySuperintenden t o fDocuments , U.S

. Governmen t Printin g Office , Washington , D C 20402

.



# H

## P. 6 

# 1



# Content s Industr yStatistics Pag e number s listed her

e omit th e prefixtha

t appear s a s par t o fth e numbe ro

feach page

] Pag e Introductio n 1

TABLE S 1a

. Statistic s fo rAl l Manufacturin g Establishments Includin g Auxiliaries : 199 6 an d Earlie rYears 7 1 b

. Employmen t Statistics fo rOperatin g Manufacturin g Establishment s an d Auxiliarie s byMajo rGroup : 199 6 an d Earlie rYears 8 2

. Statistic s fo rIndustr yGroup s an d Industries : 199 6 an d 199 5 1 0 3

. Employmen t an d Labo rCost s fo rOperatin g Manufacturin g Establishment s by Industr yGrou p an d Industry : 199 6 an d 199 5 2 8 4

. Purchase d Fuel s an d Electri cEnerg yUse d fo rHea t an d Powe rbyIndustr

yGrou p an d Industry : 199 6 an d 199 5 3 6 5

. Capita l Expenditure s fo rPlan t an d Equipmen t fo rIndustr yGroup s an d Industries : 199 6 an d 199 5 4 5 6

. Valu e o fManufacturers ' Inventorie s byStag e o fFabricatio n fo rIndustr yGroup s an d Industries : Beginnin g an d En d o f199 6 5 6

APPENDI X Explanatio n ofTerm s A- 1



# ANNUA L SURVE YO F MANUFACTURE S CONTENT S II I

# Introductio n P. 7



# GENERA L Thi s repor

t present s manufacturin g establishment s sta
tistic s fo rindustr

ygroup s an d industrie s fro m th e 199 6 Annua l Surve yo fManufacture s (ASM)

. Th e estimate s fo r199 6 are base d o n reports fro m a representativ e sampl e o fapproximatel y58,00 0 manufac

turin g establishment s an d administrative-record informa

tio n fo rapproximatel y170,00 0 establishments

. Thes e esti

mate s represen t th e portio n o fth e manufacturin g populatio n accounte d fo rbyestablishment s wit h pai d employees

. Nonemployer

s are define d a s out-of-scop e o fth e ASM

. Th e table s provid e 199 6 an d 199 5 estimate s fo remploy

ment , plan t hours , payrolls , valu e adde d bymanufacture , capita l expenditures , cos t o fmaterials , inventories , valu e o f industr yshipments , an d fuel s an d electri cenerg ycon sume d fo rmost manufacturin g industries

. Establishment s are classifie d i n manufacturin g industrie s byindustr ydefi

nition s describe d i n th e 198 7 editio n o fth e Standard Industria l Classificatio n (SIC ) Manual. 1



# SCOP E AN DUS E O F ANNUAL SURVE Y Th e 199 6 AS M i s th e 39t h surveyo fthi s typ e conducte d byth e Burea u o fth e Censu s t o provid e th e keymeasure s o fmanufacturin g activityfo rindustr ygroup s an d importan t industrie s fo rintercensa l years

. Thes e keymeasures , a s wel l a s othe rdetaile d statistic s fo rmanufacturing , wer e collecte d i n th e censuse s o fmanufactures ; th e thre e mos t recen t censuse s covere d th e years 1992,1987 , an d 1982

. A n annua l surveywa s conducte d fo reac h o fth e years betwee n censuse s startin g wit h 1949

. Durin g intercensa l periods , thes e annua l surveys pro vid e a continuou s serie s o fbasi cstatistic s fo rindustrie s an d furnis h benchmark

s fo rcurren t busines s indicators an d fo rmeasure s o findustria l productio n an d productivity

. Th e surve yals o provide s significan t data i n connectio n wit h plannin g fo rindustria l mobilization

.
DESCRIPTIO N O F TH E SURVE YSAMPL E I n 1992 , there were approximatel y370,00 0 individua l manufacturin g establishments

. Fo rsampl e efficienc yan d

1 

### Standard

Industrial

Classification

Manual: 1987. For

sal e b ySuper intenden t o fDocuments , U.S

. Governmen t Printin g Office , Washington , D C 20402

. Stoc k

No

. 041-001-00314-2

. 

# ANNUA L SURVE YO F MANUFACTURE S cos t considerations , th e 199 2 manufacturin g populatio n wa s partitione d int o tw o component s fo rdevelopin g esti

mate s withi n th e ASM ; a mai l stratu m an d a nonmai l stratum

. Mai l stratum
. Th e mai l stratu m o fth e surve yi s com prise d o flarge rsingle-locatio n manufacturin g companie s an d al l manufacturin g establishment s o fmultiuni t compa nie s (companie s that operat e a t more tha n on e physica l location)

. Approximatel y230,00 0 o fth e 370,00 0 establish

ments i n th e 1992 censu s wer e assigne d t o th e mai l stratum

. O n a n annua l basis , th e mai l stratu m i s supplemente d wit h larger , newl yactiv e single-locatio n companie s identi

fie d fro m a list provide d byth e Interna l Revenu e Servic e (IRS ) an d ne

wmanufacturin g location s o fmultiuni t compa nie s identifie d fro m th e Censu s Bureau' s Compan yOrga

nizatio n Survey(COS)

. Fo rth e 1994 survey , a newsampl e o fapproximatel y 58,00 0 individua l establishment s wa s selecte d fro m th e mai l stratu m assemble d fro m th e 199 2 census

. Supple

menta l sample s representin g bot h .99 3 an d 199 4 birth s (newl yactive establishment s tha t wer e not include d i n th e 1992 census ) were als o selected

. Establishment s selecte d fo rth e sampl e wil l b e maile d a n AS M surve yquestionnaire fo reac h yea rthroug h 1998

. Th e 1994-9 8 AS M sampl e desig n i s simila rt o th e on e use d sinc e 1984

. Companie s i n th e 199 2 Censu s o f Manufacture s wit h manufacturin g shipment s o fat leas t $50 0 millio n were define d a s compan ycertainties

. Fo r thes e larg e companies , eac h manufacturin g establishmen t i s include d i n th e mai l sample

. Fo rth e 1994-9 8 sample , there ar e approximatel y65 0 certaintycompanie s collec

tivel yaccountin g fo rove r18,00 0 establishments

. Fo rth e remainin g portio n o fth e mai l componen t o fth e survey , th e establishmen t wa s define d a s th e sampl e unit

. Al l establishment s wit h 25 0 employee s o rmore were define d a s employmen t certainties

. I n addition , al l estab

lishment s producin g product s i n SI C 357 1 (Electroni c Computers ) were define d a s certainties

. Acros s thes e thre e arbitrar

ycertaintyclasses , ther e wer e approximatel y 25,00 0 establishment s include d i n th e sampl e wit h cer tainty

. Collectively , thes e certaint yestablishment s accounte d fo rapproximatel y8 0 percen t o fth e tota l valu e o fshipment s i n th e 199 2 Censu s o fManufactures

. Smalle restablishment s i n th e remainin g portio n o fth e mai l stratu m were sample d wit h probabilitie s rangin g fro m INTRODUCTIO N 1- 1

# 6 >

## P. 8



# .0 2 t o 1.00

. Th e initia l probabilitie s o fselectio n assigne d t o thes e establishment s wer e proportionat e t o a measure-of

siz e determine d fo reac h establishment

. Th e measure-of

siz e wa s a functio n ofth e establishment' s 1992 industr y classification , it' s 199 2 produc t clas s data , an d th e histori

ca l variabilityo fth e year-to-yea restimate s o fth e produc t clas s estimates

. Fo reac h produc t clas s (1,755 ) an d four

digi t industr

y(459) , a desire d reliabilityconstrain t wa s specified

. Usin g a techniqu e develope d byDr

. Jame s R

. Chrom yo fth e Researc h Triangl e Institute , th e initia l estab

lishmen t probabilitie s were optimize d suc h that th e expecte d sampl e satisfie d al l industr yan d produc

t clas s reliability constraint s whil e th e sampl e siz e wa s minimized

. Thi s techniqu e reduce s th e likelihoo d o fselectin g nonrepresen tativ e sample s fo rindividua l product classe s o rindustries

. Thi s metho d o fassignin g probabilitie s base d o n produc t clas s shipments i s motivate d byou rprimar ydesire t o produc e reliabl e estimate s o fbot h product clas s an d industr yshipments

. Th e hig h correlatio n betwee n ship

ment s an d employment , value-added , an d othe rgenera l statistic s assure s tha t thes e variable s wil l als o b e wel l represente d b

yth e sample

. Th e actua l sampl e selectio n procedure use s a n independen t chanc e o fselectio n metho d (Poisso n sampling ) whic h permit s u s t o preven t smal l establishment s fro m bein g selecte d i n consecutive sample s withou t introducin g a bia s int o th e surve yestimates

. Nonmai l componen t Th e initia l nonmai l componen t o f th e surveywa s comprise d o fapproximatel y140,00 0 small , single-establishmen t companie s tha t were tabulate d a s administrativ e record s i n th e 199 2 Censu s o fManufac

tures

. Th e nonmai l stratu m i s als o supplemente d annuall y usin g th e lis t o fnewl yactiv e single-locatio n companie s provide d b

yth e IR S an d payrol l cutoffs

. Companie s wit h payrol l belowth e payrol l cutoffar e adde d t o th e nonmai l stratum

. Fo rthi s portio n o fth e population , samplin g i s no t used

. Th e dat a fo rthi s grou p ar e estimate d base d o n selecte d informatio n obtaine d annuall yfrom th e administrative record s o fth e IR S an d Socia l SecurityAdministratio n (SSA)

. Thi s administrativ e information , whic h include s payroll , tota l employment , industr

yclassification , an d physica l location , i s obtaine d unde rcondition s whic h safeguard th e confiden

tialityo fbot h taxan d censu s records

.
DESCRIPTIO N O F TH E ESTIMATIN G PROCEDUR E Mos t o fth e AS M estimate s derive d fo rth e mai l stratu m are compute d usin g a differenc e estimator

. At th e estab

lishmen t level , ther e i s a stron g correlatio n betwee n th e curren t yea rdat a value s an d th e correspondin g 199 2 (base ) data values

. Therefore , withi n th e maile d stratum , fo reac h ite m at eac h leve l o faggregation , a n estimat e of th e "difference " betwee n th e curren t yea ran d th e bas e yea ri s compute d fro m sampl e case s an d adde d t o th e correspondin g bas e yea rvalues

. Fo rth e 1993-199 7 AS M
1- 2 INTRODUCTIO N estimates , th e 1992 Censu s o fManufacture s value s serve as th e bas e year

. Fo rth e 199 8 ASM , th e bas e wil l b e update d t o b e th e 199 7 Censu s o fManufactures

. Du e t o th e positiv e year-to-yea rcorrelation , estimate s derive d usin g thi s methodolog yare generall ymor e reliabl e tha n comparabl e estimate s develope d fro m th e curren t sampl e dat a alone

. Estimate s fo rth e capita l expenditure s variable s are not generate d usin g th e difference estimato r becaus e th e year-to-yea rcorrelation s ar e considerabl y weaker

. Th e standard linea restimato ri s use d fo rthes e variables

. Fo rth e nonmai l stratum , estimate s fo rpayrol l an d employmen t are directl ytabulate d fro m th e administrative

record dat a provide d byIR S an d SSA

. Estimate s o fdat a othe rtha n payrol l an d employmen t are develope d fro m industr yaverages

. Althoug h th e nonmai l stratu m contain s approximatel y170,00 0 individua l establishment s i n 1994 , i t account s fo rles s tha n 2 percen t o fth e estimat e fo rtota l valu e o fshipment s at th e tota l manufacturin g level

. Correspondin g estimate s fo rth e mai l an d nonmai l com ponent s are combine d t o produc e th e estimate s include d i n thi s publication

.
ADJUSTMENT S O F HISTORICA L DATA Th e goa l o fth e AS M i s t o produc e estimate s that represen t th e employe rportio n o fth e manufacturin g uni

verse

. Durin g censu s years , AS M estimate s generate d fro m th e sam e dat a se t hav e typicall ybee n lowi n compari

so n t o th e censu s data

. I n 198 7 an d 1992 , th e AS M estimate s fo rshipment s at th e al l manufacturin g leve l were 2. 0 an d 3. 5 percen t lowe rtha n th e censu s values , respect
fully

. Fo r1992 , th e initia l AS M estimat e fo rshipment s wa s approximatel y3. 7 percen t low

. Preliminar

yanalyse s ofth e 199 2 Censu s o fManufac

ture s dat a als o suggeste d tha t th e 1988-9 1 AS M estimate s understate d th e tru e levels

. A n interagencytas k force , comprise d o frepresentative s fro m th e Burea u o fEconomi c Analysi s (BEA) , th e Federa l Reserve Board (FRB) , an d th e Censu s Burea u wa s forme d t o investigat e thi s issu e an d provid e recommendations

. Afte rexaminin g th e evidence , th e consensu s opinio n wa s tha t th e understatemen t i n th e AS M estimate s fro m 1988-9 1 wa s sufficien t t o warran t a revisio n t o th e AS M historica l tim e series

. Th e tas k forc e recommende d tha t th e te n genera l statistic s (GS ) variable s publishe d i n th e Statistics for Industry Groupsand Industries publicatio n (AS-1 ) b e revise d fo r1988-91

. Th e majo rfactors contributin g t o thi s decisio n were a s follows : 1

. Th e classificatio n o fnewsingle-establishmen t compa nie s continue d t o b e a proble m betwee n 198 8 an d 1992

. Th e numbe ro ftotall yunclassifie d companie s i n ou rmaste runivers e fil e gre wsignificantl ythroug h 199 1 an d the n decline d sharpl yi n 199 2 du e t o specia l censu s processing

. Aportio n o fthes e unclassifie d companie s becam e classifie d a s manufacture s fo rth e firs t tim e i n 1992 , despit e havin g bee n i n operatio n fo r



# ANNUAL SURVE YO F MANUFACTURE S 

# 7

## P. 9



# u p t o 4 years

. Thes e case s are not represente d i n th e originall ypublishe d AS M estimate s fo r1988-9 1 becaus e ofthei rlac k

o fclassification

. I n addition , i t appear s tha t a significan t numbe ro fnewmanufacturin g companie s were initiall yclassifie d as nonmanufacturin g and , there

fore , no t subjecte d t o ou rbirt h supplementation

. Begin

nin g wit h th e 199 3 ASM , we have introduce d proce dure s t o addres s bot h thes e issues

. 2

. Th e 1992 AS M wa s processe d withi n th e censu s surveyprocessin g system

. Whil e simila rt o th e regula r AS M processin g system , there were subtl e difference s i n dat a collection , editing , imputation , an d analys t reviewtha t canno t b e totall yeliminated

. Thi s suggest s that th e 1992 AS M estimate s derive d usin g censu s file s ar e not totall ycomparabl e t o th e 1988-9 1 AS M estimates

. Ou ranalysi s suggest s th e understatemen t i n th e 1992 AS M estimate s becaus e o fprocessin g difference s t o b e betwee n 1 an d 1. 5 percent

. Fo rth e 199 7 ASM , w e ar e redevelopin g components o fth e processin g system

. 3

. Th e originall ypublishe d 198 9 AS M estimate s appea r t o b e uniforml ylo wi n compariso n t o othe rcomparabl e tim e serie s an d ou row n interna l analysis

. Thi s sug gest s that th e origina l 198 9 AS M sampl e wa s not a s representative a s expecte d o rtha t ther e were unde

tecte d operationa l errors i n producin g th e estimates

. 4

. A s wit h al l sectors o fth e economy , th e manufacturin g secto ri s continuall ychanging

. Despit e tightl ycon trolle d procedure s fo rmaintainin g th e AS M sample , som e deterioratio n i n coverag e an d representatio n wa s unavoidable

. Th e revise d estimate s fo r1988-9 1 were derive d throug h a serie s o fdistinc t steps

. Essentially , a "smooth

ing " procedure wa s use d t o allocat e th e differenc e betwee n th e 199 2 AS M estimate s an d th e correspond

in g censu s value s ove rth e 5 yea rspan

. However , before applyin g thi s procedure , revise d AS M estimate s fo r198 9 an d 199 2 wer e develope d t o addres s prob

lem s 2 an d 3 describe d above

.

Generatin g Revise d 198 9 Estimate s i 

# Th e 198 9 AS M estimate s were separate d int o industrie s fo rwhic h th e AS M estimate s reliabl yrepresente d th e population-an d industrie s fo rwhic h th e estimate s wer e suspect

. I n th e suspect industries , th e chang e from 198 7 t o 198 9 wa s re-estimate d usin g th e infonnatio n reporte d by establishment s i n thes e 2 years

. Achang e rati o estimato r wa s use d rathe rtha n th e difference estimato rusuall yuse d fo rAS M estimation

. Thi s procedure wa s no t a s rigorou s a s th e usua l estimator , bu t offere d th e advantag e o fno t bein g a s sensitiv e t o th e factors tha t were fel t t o have cause d th e origina l understatement

. Afte rth e re-estimation , th e tota l valu e o fshipment s fo ral l manufacturin g industrie s i n 198 9 wa s 0. 8 percen t highe rtha n originall ypublished

. Adjustmen t t o 199 2 AS M Estimate s

As note d above , th e initia l 1992 AS M estimate s were derive d withi n th e censu s processin g syste m rathe rtha n th e usua l AS M system

. Th e initia l difference betwee n th e 1992 AS M estimat e o fshipment s an d th e censu s valu e was approximatel y3. 7 percent

. At th e four-digi t SI C level , a n estimat e o fth e processin g bia s wa s determine d an d th e initia l 1992 AS M estimate s adjuste d accordingly

. Thi s adjust

men t wa s fel t t o improve th e comparabilitybetwee n th e 1992 an d th e 1988-9 1 AS M estimates

. Th e adjustmen t procedure raise d th e initia l 1992 AS M estimat e fo rship

ments approximatel y1. 6 percent , thereb yreducin g th e understatemen t o fth e 199 2 AS M estimat e ofshipment s t o approximatel y2. 1 percen t a t th e al l manufacturin g level

. Simila rdifference s existe d betwee n th e 1992 AS M esti

mate s ofth e othe rgenera l statistic s variable s an d th e 199 2 censu s values

.

Historica l Revisio n

Thi s 2. 1 percen t underestimat e o fth e censu s byth e 1992 AS M i s define d a s th e "drift " an d i s fel t t o b e a n accurat e measure o fth e cumulativ e degradatio n i n th e qualityo fth e estimate s du e t o erosio n i n th e representa
tivenes s ofth e sampl e an d processin g error

. T o improve th e historica l AS M tim e series , th e difference betwee n th e adjuste d 199 2 AS M estimat e an d th e censu s valu e wa s compute d fo reac h G S variabl e at specifi cindustr ygrou p levels

. Thi s differenc e wa s divide d byfiv e an d th e resul t adde d t o th e industr

ygrou p leve l estimat e fo rthat variabl e fo r1988

. Twice th e differenc e wa s adde d t o th e re-estimate d industr ygrou p leve l estimat e fo r1989

. Thre e time s th e difference wa s adde d fo r1990 , an d fou rtime s th e differ

enc e fo r1991

. Revise d estimate s fo rothe rvariable s an d fo rothe rlevel s o faggregatio n (geographical ) wer e not calculated

. Th e percentag e revisio n i n eac h variabl e fo r eac h yea rwa s calculate d fo reac h industr ygrou p leve l an d tha t percentag e revisio n wa s mad e t o eac h four-digi t SI C withi n th e industr

ygroup

. Th e char t belowshow s th e AS M originall ypublishe d inventorie s an d shipment s estimate s a t th e tota l manufac

turin g leve l an d th e comparabl e estimate s afte rth e adjust

men t proces s fo r1988-91

. Th e 198 7 an d 199 2 value s represen t censu s statistics , not AS M estimates

. Finally , th e complet e se t o f199 5 AS M genera l statistic s an d produc

t clas s estimate s have bee n revised

. Theywere revise d t o reflect lat e dat a correction s mad e t o th e 199 5 AS M dat a resultin g from th e revie wo fth e 199 6 surve y data

. ANNUA LSURVE YO F MANUFACTURE S INTRODUCTIO N 1- 3

«

## P.1 0

Yea r

1992 199 1 199 0 198 9 198 8 198 7 End-of-yea rinventorie s

(billio n dollars ) Publishe d 374. 9 379. 9 392. 5 380. 5 361. 5 332. 6 Adjuste d

374. 9 387. 1 397. 9 384. 5 363. 3 332. 6 Valu e o fshipment s

(billio n dollars ) Publishe d 3,004. 7 2,826. 2 2,873. 5 2,792. 7 2,682. 6 2,475. 9 Adjuste d

3,004. 7 2,878. 2 2,912. 2 2,840. 4 2,695. 4 2,475. 9



# QUALIFICATION S O F TH E DAT A Th e estimate s develope d fro m th e sampl e are apt t o diffe rsomewhat fro m th e result s o fa surveycoverin g al l companie s i n th e sampl e list s bu t otherwis e conducte d unde ressentiall yth e sam e condition s as th e actua l sampl e survey

. Th e estimate s o fth e magnitud e o fth e samplin g errors (th e differenc e betwee n th e estimate s obtaine d an d th e results theoreticall yobtaine d fro m a comparable , complete

coverag e survey) ar e provide d byth e standard errors o f estimates

. Th e particula rsampl e selecte d fo rth e AS M i s on e o f man ysimila rprobabilitysample s that , bychance , migh t have bee n selecte d unde rth e sam e specifications

. Eac h o f th e possibl e sample s woul d yiel d somewhat differen t set s o fresults , an d th e standard errors are measure s ofth e variatio n o fal l th e possibl e sampl e estimate s aroun d th e theoretical , comparable , complete-coverag e values

. Estimate s o fth e standard errors have bee n compute d fro m th e sampl e dat a fo rselecte d statistic s i n thi s report

. The yare represente d i n th e for m o frelative standard errors (th e standard errors divide d byth e estimate d value s t o whic h the yrefer)

. I n conjunctio n wit h it s associate d estimate , th e relativ e standard erro rma

yb e use d t o defin e confidenc e interval s (range s tha t woul d includ e th e comparable , complete

coverag e valu e fo rspecifie d percentage s o fal l th e possibl e samples)

. Th e complet e coverag e valu e woul d b e include d i n th e range : 1

. Fro m on e standard erro rbelowt o on e standard erro r abov e th e derive d estimat e fo rabou t two-third s o fal l possibl e samples

. 2

. Fro m tw o standard errors belowt o tw o standard errors above th e derive d estimat e fo rabou t 1 9 ou t o f2 0 o fal l possibl e samples

. 3

. Fro m thre e standard errors belowt o thre e standard errors above th e derive d estimat e fo rnearl yal l samples

. A n inference that th e comparable , complete-surveyresul t woul d b e withi n th e indicate d range s woul d b e correct i n approximatel yth e relative frequencie s shown

. Thos e pro portions , therefore , ma

yb e interprete d a s definin g th e 1- 4 INTRODUCTIO N confidenc e tha t th e estimate s fro m a particula rsampl e woul d diffe rfro m complete-coverag e results b yas muc h as one , two , o rthre e standard errors , respectively

. Fo rexample , suppos e a n estimate d tota l i s show n at 50,00 0 wit h a n associate d relativ e standard erro ro f2 percent , tha t is , a standard erro rof1,000 ( 2 percen t o f 50,000)

. There i s approximatel y6 7 percen t confidenc e that th e interva l 49,00 0 t o 51,00 0 include s th e complete-coverag e total , abou t 9 5 percen t confidenc e that th e interva l 48,00 0 t o 52,00 0 include s th e complete-coverag e total , an d almost certai n confidenc e that th e interva l 47,00 0 t o 53,00 0 include s th e complete-coverag e total

. I n additio n t o th e sampl e errors , th e estimate s are subject t o variou s respons e an d operationa l errors : errors o fcollection , reporting , coding , transcription , imputatio n fo r nonresponse , etc

. Thes e operationa l errors als o woul d occu ri fa complet e canvas s wer e t o b e conducte d unde r th e sam e condition s a s th e survey

. Explici t measure s o f thei reffect s generall yare no t available

. However , i t i s believe d tha t mos t o fth e importan t operationa l errors wer e detecte d an d correcte d durin g th e Censu s Bureau' s revie w o fth e dat a fo rreasonablenes s an d consistency

. Th e smal l operationa l errors usuall yremain

. T o som e extent , the yare compensatin g i n th e aggregate d total s shown

. Whe n impor

tan t operationa l errors were detecte d to o lat e t o correct th e estimates , th e dat a were suppresse d o rwere specificall y qualifie d i n th e tables

. A s derived , th e estimate d standard errors include d par t o fth e effec

t o fth e operationa l errors

. Th e tota l errors , whic h depen d upo n th e join t effec t o fth e samplin g an d operationa l errors , ar e usuall yo fth e orde ro fsiz e indicate d b yth e standard error , o rmoderatel yhigher

. However , fo r particula restimates , th e tota l erro rma yconsiderabl yexcee d th e standard errors shown

. An yfigures show n i n th e table s i n thi s publicatio n havin g a n associate d standard erro r exceedin g 1 5 percen t ma yb e combine d wit h highe rleve l totals , creatin g a broade raggregate , whic h the n ma yb e of acceptabl e reliability

. DESCRIPTIO N O F IMPUTATIO N PROCEDUR E Th e nee d fo rimputatio n i n th e AS M arise s fro m severa l sources

. Complet e nonresponse , partia l nonresponse , incon

sisten t reporte d data , an d th e Bureau' s desire t o reduc e th e reportin g burde n fo rsmal l manufacturers ar e th e primar yfactor s contributin g t o th e nee d fo rimputation

. Fo rpurpose s o fth e ASM , a n ite m i s considere d t o b e a n imput e i fth e valu e wa s no t directl yreporte d o n th e questionnaire , directl yderive d fro m othe rreporte d items , directl yavailabl e fro m supplementa l sources , o robtaine d fro m th e responden t durin g th e analytica l revie wphase

. I n imputin g reoord s fo rnonrespondents , tw o basi capproaches ar e followed

. Fo rmos t large restablishments , operationa l informatio n i s availabl e fro m th e prior-yea rASM

. Imputa

tio n fo r199 6 dat a fo restablishment s wit h 199 5 dat a availabl e involve s adjustin g th e correspondin g 199 5 dat a byestimate s o fth e year-to-yea rrelativ e change

. Thes e estimate s ar e develope d base d o n employmen t an d payrol l



# ANNUAL SURVE YO F MANUFACTURE S



# < ?

## P.1 1



# dat a fro m th e Burea u o fLabo rStatistics a t th e industr

y grou p (three-digi t SIC ) leve l an d ar e the n applie d t o th e 199 5 prior-yea restablishmen t value s fo remploymen t an d payroll

. Th e remainin g dat a fo rth e establishmen t are develope d base d o n thei rprior-yea rrelationshi p t o thes e tw o contro l items

. Fo rnonrespondents that hav e n o prior

yea rrecord availabl e includin g establishments not include d i n th e mai l portio n o fth e survey , administrative-record data fo rannua l payrol l an d employmen t ar e used

. Fo ral l othe r items , industr

yaverag e relationship s betwee n thes e con tro l item s an d th e ite m t o b e impute d are used

. At th e tota l manufacturin g level , th e overal l imputatio n rat e i s approximatel y7 percen t o fth e publishe d valu e o f shipment s figur e fo r1996

. However , thi s rat e varie s widel y byfour-digi t industry , five-digit produc t class , an d Stat e total

. Th e media n imputatio n rat e fo ra four-digi t industr y wa s 1 0 percent ; fo ra five-digit produc t class , th e rat e wa s somewhat higher ; an d fo ra Stat e total , th e rat e wa s comparabl e t o th e four-digi t industry

. ABBREVIATION S AN D SYMBOL S Th e followin g abbreviation s an d symbol s ar e use d i n thi s publication :

- (A ) (D )
(NA) (NC ) (S ) (X) (Z) n.e.c

. n.s.k

. P t r SI C Represents zero

. Standard errors o f100 percen t o rmore

. Withhel d t o avoi d disclosin g data fo rindividua l companies ; data aV

e include d i n highe rleve l totals

. No t available

. No t comparable

. Withhel d becaus e estimat e di d not meet pub

licatio n standards

. Not applicable

. Les s tha n hal fth e uni t shown

. No t elsewhere classified

. No t specifie d b

ykind

. Part

. Revised

. Standard Industria l Classification

.

ANNUA LSURVE YO F MANUFACTURE S INTRODUCTIO N 1- 5 

# P

## P.1 2



# Tabl e 1a

. Statistic s fo rAl l Manufacturin g Establishment s Includin g Auxiliaries : 199 6 an d Earlie rYear s [Formeanin g o

fabbreviation s an d symbols , see introductor ytext
. Fo rexplanatio n o fterms , see appendixes ) Establishments 1

Tota l (number ) Wit h 2 0 employee

s or 

### mor e (number ) Ai) employees 2

Number

3 (1.000) Payrol l

(millio n dollars ) Production worker s

Number

3 (1,000 ) Hour

s (millions ) Wage

s (millio n dollars ) Valu e added b y manufacture4 (millio n dollars) Cos

t o f material s (millio n dollars ) Valu e o

f shipment s (millio n dollars ) Ne wcapita l oxpendl* turos* (millio n dollars )
1996 « 1995 s 1994 « 1993 * 1992 .
1991 " 1990 « 1989 « 1988 « 1987 .
1986 « 1985 ' 1984 " 1983 « 1982 . 1981 « 1980 « 1979 « 1978 " 1977 .
1976 » 1975 « 1974 « 1973 ' 1972 . 1971' 1970 « 1969 » 1968 ' 1967 .
1966 ' 1965 « 1964 ' 1963 . 1962 »
1961 « I960 * 1959 « 1958 ' 1957 «
1956 « 195S 6 1954 . 1953 « 1952 «
1951 « 1950 6 1949 « (NA ) (NA ) N A (NA ) 38 1 69 6
(NA ) (NA ) (NA ) (NA ) 36 8 90 4 12 4 I

12 6 :

359 I 11 8 1


# a

(NA ) 11 0 25 6

(NA ) 1 8 665. 6 1 8 730. 9 1 8 326. 7 1 8 232. 7 1 8 204. 9

1 8 350. 3 1 9 057. 1 1 9 291. 7 1 9 220. 4 1 8 951. 6

1 8 370. 0 1 8 796. 4 1 9 123. 3 1 8 709. 2 1 9 094. 1
2 0 264. 0 2 0 646. 9 2 1 040. 2 2 0 501. 9 1 9 590. 1

1 8 753. 0 1 8 302. 2 1 9 844. 4 1 9 844. 8 1 9 028. 7
1 8 363. 1 1 9 217. 2 2 0 035. 5 1 9 527. 6 1 9 323-2
1 9 024. 5 1 8 010. 2 1 7 268. 5 1 6 958. 4 1 6 765. 6
1 6 331 2 1 6 762. 7 1 6 662 2 1 6 025 2 1 7 104. 7
1 7 178. 3 1 6 818. 5 1 6 125. 6 1 7 093. 0 1 6 061. 0
1 5 638. 0 1 4 769. 9 1 3 880. 1 645 032. 0

62 4 407. 1 59 3 577. 8 57 3 421. 9 55 9 087. 3
53 9 153. 2 53 9 918. 0 52 6 525. 9 50 5 197. 3 47 5 681. 7 

### 450 759. 6 443 095. 1 428 398. 8 39 4 720. 9 379 626. 5
37 9 214. 4 35 0 410. 8 32 8 887. 9 29 8 967. 4 26 4 013. 1
23 3 388. 7 20 9 519. 0 20 8 312. 0 193 324. 5 17 4 186. 7
15 6 202. 8 15 3 078. 5 152 765. 6 14 1 822. 7 13 2 208. 4
125 350. 0 11 3 972 2 106 403. 3 9 9 898. 8 94 291 2
8 8 127. 8 8 8 087. 1 85 642. 0 7 8 348. 9 7 9 354. 0 77 059. 0 7 2 126. 0 6 5 977. 0 6 8 590. 4 6 1 140. 6 

### 56 283. 8 4 7 892. 9 42 752. 0 1 2 167. 8

1 2 253. 1 1 1 947. 1 1 1 726 2 1 1 640. 9
1 1 652. 0 1 2 23Z 7 1 2 535. 5 1 2 438. 7 1 2 280. 4
1 1 765. 4 1 2 174. 4 1 2 572. 8 1 2 203. 0 1 2 400. 6
1 3 542. 8 1 3 900. 1 1 4 537. 8 1 4 228. 7 1 3 691. 0
1 3 051 2 1 2 567. 9 1 3 970. 9 1 4 233. 1 1 3 526. 5
1 2 874. 9 1 3 528. 0 1 4 357. 8 1 4 041 2 1 3 955. 3
1 3 826. 5 1 3 076. 0 1 2 403. 3 1 2 232. 0 1 2 126. 5
1 1 778. 5 1 2 209. 5 1 2 272. 6 1 1 681. 1 1 2 838. 9
1 3 131. 3 1 2 954. 4 1 2 372. 0 1 3 500. 9 1 2 706. 0
1 2 508. 9 1 1 778. 8 1 1 01 6 3 2 5 010. 5

2 5 072. 0 2 4 560. 1 2 3 845. 1 2 3 563. 1

2 3 383. 0 2 4 463. 3 2 4 933. 9 2 4 815. 4 2 4 302. 7
2 3 178 2 2 3 731. 6 2 4 637. 1 2 3 611. 6 2 3 538. 3 

### 26 233. 1 2 6 745.7 28 324.3 2 7 676.5 2 6 686.7 2 5 353. 8 24 069. 9 2 7 239.3 2 8 096. 8 

### 26 696.7 25 265.9 2 6 669. 3 28 599.8 2 8 156.8 2 7 837. 6

2 8 102 . 2 6 567. 8 2 5 245. 5 2 4 509. 4 2 4 269. 5 

### 23 289.4 2 4 174. 4 

### 24 443. 6 22 679 2 25 569.0
2 6 088. 5 2 5 898. 3 2 4 344. 1 

### 2 7 065. 6 2 5 617. 6 

### 25 263. 8 2 3 T16JS 2 1 769. 7 32 4 495. 8

31 7 767. 5 304 663. 0 29 0 293 2 28 1 538. 2
27 0 601. 0 275 208. 4 27 3 119. 9 26 5 147. 1 25 1 449. 5 

### 23 6 599.4 235 790. 8 23 1 783. 9 21 2 416. 4 204 787 2
21 2 200. 9 198 164. 0 192 881. 5 176 416. 8 157 163. 7
13 7 564. 0 12 1 427 2 124 983 2 11 8 332. 3 10 5 494. 7
9 3 231. 7 9 1 609. 0 9 3 459. 6 8 7 480. 4 8 1 393. 6
7 8 256. 4 7 1 361. 5 6 5 838. 9 6 2 093. 6 5 9 134. 1

5 4 764. 6 5 5 555. 5 5 4 714. 1 4 9 605 2 5 2 582. 5
5 2 040. 8 4 9 217. 9 4 4 590. 5 4 8 979. 1 4 3 763. 6
4 0 654. 8 3 4 600. 0 3 0 254. 0 1 74 9 661. 9

1 71 1 442. 3 1 60 5 980. 0 1 48 3 054. 1 1 42 4 699. 7

1 34 1 386. 2 1 34 6 970. 1 1 32 5 433. 6 1 26 9 313. 0 1 16 5 740. 8

1 03 5 437. 4 1 00 0 142. 0 98 3 227. 7 88 2 014. 5 82 4 117. 7
83 7 506. 5 77 3 831. 3 74 7 480. 5 65 7 412. 0 58 5 165. 6

51 1 470. 9 44 2 485. 8 45 2 468. 4 40 5 623. 5 35 3 974. 2

31 4 138. 4 30 0 227. 6 30 4 440. 7 28 5 058. 9 26 1 983. 8

25 0 880. 1 22 6 939. 9 20 6 193. 6 19 2 082. 9 17 9 071. 1
16 4 2B1. 1 16 3 998. 5 16 1 535. 8 14 1 540. 6 14 7 835. 4

14 4 909. 3 13 S 022. 5 11 7 032. 3 12 1 659. 1 10 9 162. 1

10 2 085. 8 8 9 749. 8 7 5 366. 5 1 97 5 362. 1

1 89 7 570. 7 1 75 2 735. 1 1 64 7 492. 6 1 57 1 773. 5

1 53 1 221. 3 1 57 4 617. 3 1 53 2 330. 0 1 44 4 500. 9 1 31 9 844. 6

1 21 7 608. 6 1 27 6 009. 6 1 28 8 413. 6 1 17 0 237. 8 1 13 0 142. 7

1 19 3 969. 6 1 09 3 567. 6 99 9 157. 5 87 7 424. 7 78 2 417. 7
68 1 194. 1 59 7 327. 0 58 1 580. 0 47 8 169. 6 40 7 418. 7

3S 6 016. 9 33 6 551. 6 34 1 724. 5 32 0 698. 0 29 8 513. 7

29 3 663. 8 26 8 385. 8 24 4 080. 5 22 9 683. 8 22 1 471. 8
20 6 404. 6 3 71 5 428. 2

3 59 4 359. 6 3 34 8 019. 2 3 12 7 620. 4 3 00 4 722. 8

2 87 8 164. 8 2 91 2 228. 5 2 84 0 376. 0 2 69 5 432. 3 2 47 5 939. 1

2 26 0 314. 6 2 28 0 183. 8 2 25 3 429. 3 2 04 5 853. 3 1 86 0 205. 8

2 01 7 542. 5 1 85 2 668. 3 1 72 7 214. 6 1 52 2 937. 3 1 35 8 526. 4

1 18 5 695. 3 1 03 9 377. 4 1 01 7 873. 4 87 5 443. 2 75 6 534. 3

67 0 970. 5 63 4 322. 1 64 2 635. 8 60 3 220. 1 55 7 397. 8

53 8 736. 9 49 2 005. 7 44 7 985. 1 42 0 528. 1 39 9 308. 9 36 9 994. 3 (NA) 139 322. 5 128 473. 4 11 2 783. 6 10 3 132. 9 103 188. 0
103 002. 9 10 5 018. 1 98 737. 6 8 1 593. 1 7 8 S49. 9
7 6 354. 5 8 3 058. 3 75 185. 8 6 1 930. 5 7 4 561. 6
7 8 632. 3 7 0 112. 8 6 1 533. 0 5 5 209. 2 4 7 459. 0 

### 4 0 545 2 3 7 262. 1 35 696.4 26 978. 8 2 4 072. 6
2 0 940. 7 2 2 164. 3 2 2 291. 4 2 0 613. 1 2 1 503. 0 2 0 235. 8 1 6 615. 0 1 3 294. 3 1 1 370. 0 1 0 438 2
9 779. 8 1 0 097. 8 9 140. 0 9 543. 5 1 2 144. 0
1 1 233 2 8 233. 1 8 200. 7 B 047. 9 7 883. 4
7 781. 7 5 041. 3 

### 6 066. 9
'Includes establishment s wit h payrol l a t an yUm e durin g year . 'Figure s fo r194 9 to 199 6 includ e data foremployee s at manufacturin g establishment s wh o wer

e engage d i n distiibutio n an d constructio n work

. I n additio n t o employment an d payro t fo r operatin g manufacturin g establishments , manufacturin g companie s reporte d separatel yfo rauxiliar yunit s (e.g.

. aminbtrativ

e offices,research , laboratories , storage warehouses , powe rplants , garages , repai rshops , etc ) whic h servic e th e manufacturin g establishments) o fa company. These data als o are include d i n tota l employment , payroll , an d establishment figures

. o fcompffing figures varied a s follows : Al l employees : fo r1955 to 1996 , figures represent averag e o fnumbero

fproduction worker

s fo rpayrol l period ended neares t th e 12l h o

fMofdi , May , August , November , plu s al l othe remployee s fo rpayrol l perio

d ended neares

t th e 12t h o

fMarch ; fo r194 9 to 1954 , figure s represent a n averag e o fe l employees fo rpayrol l period ended neares t th o 12t h o fMarch , May , August an d November

. Productio n workers : for194 9 to 1996 , figures are based o n employmen t fo rpayrol l perio

d ended neares

t th e 12t h ofMarch , May , August , an d November

. ^Beginning i n 1982 , a

n respondent

s wer e requested t

o repor t thei rinventorie

s at cos t o rmarke

t prio rt d adjustmen

t t o UF O cost Thi s i s a chang e fro m prioryear s I n whic h respondent

s war e permitte d to valu e thei rInventorie s usin g anygenerall yaccepte d accountin g method

. Consequently , 198 2 data fo rvalu e adde d are no l comparabl e t o prio ryears . Fo rIh e period 1954 t o 1982 , valu e added b ymanufactur

e represent

s adjusted valu e added , for earie ryears , unadjuste d valu e added

. Unadjuste d valu e added I s obtained b ysubtractin g th e cos

t o fmaterials , supple s an d containers , fuel , purchase d electri c energy , an d contrac t work fro m th e valu e o

fshipment

s for product

s manufactured plu s receipt s for service

s rendered

. Adjusted valu e added als o takes Int o account (a ) valu e added b y merchandisin g operation s (tha t is , th e differenc

e betwee n th e sale

s valu e an d cos

t o fmerchandise sol d withou t furthermanufacture , processing , o rassembly) , plu s (b) th e ne t chang e I n finished good s an d work-in-proces

s betwee n th e beginning - an d end-of-yea rinventories

. figure s fo r195 1 l o 199 6 include expenditure s fo rplant

s unde rconstructio n an d no t yet i n operation

. Thi s Informatio n was no t colecte d prio rto 1951

. •Figures represent estimates derived fro m a representativ e sampl e o

fmanufacturin g establishment s canvasse

d I n th e annua l surve

yo fmanufactures

. These estimates , therefore , ma ydiffe rfro m result s tha t woul d hav

e bee n obtained fro m a complet e canvass o

fa U manufacturin g establishments

. Standard error s associated wit h these estimates are publishe d i n annua l surve

yo fmanufacture

s volume s for thi s period

. 'Dat a fo restablishment

s dassitie d i n Industr

y3273 , Ready-Mixed Concrete , an d establishment s classified I n Industr

y3599 , Industria l Machinery , N.E.C. , are exclude d fro m figures I n 1949 t o 1957

. Figure

s for 1954 l o 196 6 include dat a for establishment

s engaged i n processin g an d distributionoffluldmak,lndustryGroup20tMi yProducts

. Thes e establishments* ^ forearie rcensu s years . Beginnin g wit h 1954 , figures include dat a fo rIndustr

y2411 , Logging

.



# ANNUA LSURVE YO F MANUFACTURE S INDUSTR YSTATISTIC S 1- 7 

# It

## P.1 3



# Table 1b

. Employmen t Statistic s fo rOperatin g Manufacturin g Establishment s an d Auxiliarie s

b yMajo rGroup : 199 6 an d Earlie rYear s [Fo rmeanin g o

fabbreviation s an d symbols , se e introductor

ytext
. Fo rexplanatio n o fterms , se

e appendixes

]

SI C code

2 0

2 1

2 2

2 3

2 4

2 5

2 6

2 7

2 8

2 9 Majo rgrou p an d yea r

Al l industrie s 1996.

. 1995.

. 1994.

. 1993.

. 1992.

. 1987.

. 1982.

. 1977.

. 1995.

. 1994.

. 1993.

. 1992.

. 1987.

. 1982.

. 1977.

. 1995.

. 1994.

. 1993.

. 1992.

. 1987.

. 1982.

. 1977.

.
1995.

. 1994.

. 1993.

. 1992.

. 1987.

. 1982.

. 1977.

. 1995.

. 1994.

. 1993.

. 1992.

. 1987.

. 1982.

. 1977.

. 1995.

. 1994.

. 1993.

. 1992.

. 1987.

. 1982.

. 1977.

. 1995.

. 1994.

. 1993.

. 1992.

. 1987.

. 1982.

. 1977.

. 1995.

. 1994.

. 1993.

. 1992.

. 1987.

. 1982.

. 1977.

. 1995.

. 1994.

. 1993.

. 1992.

. 1987.

. 1982.

. 1977.

. 1995.

. 1994.

. 1993.

. 1992.

. 1987.

. 1982.

. 1977.

. 1995.

. 1994.

. 1993.

. 1992.

. 1987.

. 1982.

. 1977.

. Al l establishment s Employee s (1.000)
1 8 665. 6 1 8 730. 9 1 8 326. 7 1 8 232 7 1 8 204. 9 1 8 951. 6 1 9 094. 1 1 9 590. 1 1 643. 1 1 644. 8 1 635. 6 1 643. 3 1 622. 0 1 557. 1 1 596. 6 1 622. 3 45. 9 47. 7 51. 4 56. 6 59. 5 63. 5 72 2 68. 6 603. 5 635. 6 650. 4 635. 1 643. 7 699. 0 750. 3 908. 6 906. 0 987. 5 988. 5 1 013. 3 1 017. 3 1 114. 0 1 223. 8 1 361. 8 758. 9 760. 7 736. 6 701. 4 672 8 712. 5 598. 3 706. 9 527. 0 522. 8 505. 9 492 2 481. 7 522. 6 446. 7 472. 6 677. 4 676. 7 669. 5 673. 5 676. 6 654. 6 636. 9 666. 3 1 614. 6 1 620. 5 1 583. 6 1 575 3 1 572 1 1 578. 1 1 340. 1 1 131. 1 1 081. 0 1 090 2 1 074. 0 1 095. 8 1 102. 7 1 028. 6 1 079. 1 1 061. 6 141. 3 143. 1 148. 0 156. 3 158. 4 153. 5 227. 6 212. 1 Payrol l (millio n dollars

)
64 5 032. 0 62 4 407. 1 59 3 577. 8 57 3 421. 9 55 9 087. 3 47 5 681. 7 37 9 626. 6 26 4 013. 1 4 8 052. 7 4 7 040. 2 4 5 201. 4 4 4 215. 0 4 2 963. 9 3 4 223. 3 2 9 118. 6 2 0 472. 7 2 443. 5 2 526. 7 2 419. 3 2 423. 9 2 493. 4 2 170. 5 1 716. 9 897. 7 1 4 560. 3 1 4 931. 7 1 4 773. 2 1 3 963. 3 1 3 554. 4 1 2 252. 0 9 840. 1 8 434. 4 1 6 600. 4 1 7 303. 0 1 6 942. 4 1 6 855. 1 1 6 521. 4 1 4 774. 0 1 2 881. 9 1 0 062 2 1 8 408. 7 1 7 756. 7 1 6 825. 6 1 5 780. 8 1 4 656. 5 1 3 201. 1 9 051. 6 7 694. 9 1 3 010. 7 1 2 377. 4 1 1 725. 9 1 1 136. 9 1 0 677. 1 9 433. 9 6 336 2 4 586. 3 2 6 109 2 2 5 375. 5 2 4 283. 9 2 3 458. 7 2 3 079. 1 1 8 717. 9 1 4 857. 1 9 845. 3 5 0 611. 7 4 8 801. 0 4 6 437. 7 4 5 253. 0 4 4 079. 8 3 5 850. 5 2 3 912 1 1 4 645. 9 5 4 373. 3 5 2 377. 7 4 9 543. 8 4 8 098. 8 4 7 096. 5 3 4 039 2 2 7 462

. 1 7 638 2 7 641. 9 7 378 2 7 434 Z 7692 2 7 431. 8 5 669. 0 6 906. 9 4 258 2 Operatin g manufacturin g establishment s Employee

s (1,000 )
1 7 326. 3 1 7 419. 2 1 7 059. 4 1 6 943. 5 1 6 948. 9 1 7 718. 0 1 7 818. 1 1 8 515. 9 1 516. 6 1 519. 7 1 510. 8 1 520. 4 1 502. 7 1 448. 8 1 487. 7 1 520. 2 31. 4 31. 3 34. 4 36. 6 38. 0 44. 7 58. 0 60. 6 576. 4 609. 7 624. 3 610. 0 616. 4 672. 1 717. 4 875. 4 864. 9 946. 6 954. 2 979. 8 985. 3 1 080. 8 1 189. 0 1 334. 3 738. 7 740. 2 718. 0 685. 4 655. 8 698. 4 576. 4 692. 4 514. 5 511. 3 495. 5 482. 3 471. 1 510. 8 436. 1 463. 6 630. 6 629 2 622. 3 626. 3 626. 3 611. 1 605. 6 628. 7 1 515. 0 1 524. 9 1 494. 3 1 494. 7 1 492. 1 1 494. 0 1 291. 8 1 092 2 824. 4 838. 8 823. 0 838. 5 848. 6 814 2 872. 6 880 2 106. 0 109. 9 111 2 113. 8 114. 4 115. 8 151. 6 146. 8 Payrol l

(millio n dollars

) 56 0 518. 3 54 5 362. 7 52 2 565. 7 504 363. 1 49 4 108. 9 42 8 480. 0 34 1 406 2 24 2 031. 9 4 0 379. 9 3 9 622 2 3 8 471. 4 3 7 706. 5 3 6 771. 8 3 0 267 2 2 6 087. 5 1 8 543. 6 1 521. 5 1 483. 9 1 441. 0 1 423. 0 1 524. 4 1 485. 6 1 323. 6 750. 8 1 3 214. 8 1 3 481. 7 1 3 594 2 1 2 836. 5 1 2 397. 6 1 1 409 2
' 9 046. 1 7 881. 4 1 4 919. 6 1 5 703. 5 1 5 620. 0 1 5 621. 8 1 5 325. 1 1 3 903. 6 1 2 128. 8 9 658. 6 1 7 313. 6 1 6 675. 4 1 5 902. 9 1 4 954. 5 1 3 881. 8 1 2 706. 7 8 444 3 7 424. 7 1 2 413. 6 1 1 852 2 1 1 270. 3 1 0 703. 4 1 0 227. 0 9 082 4 6 083. 6 4 446 2 2 2 946. 5 2 2 277 3 2 1 577. 3 2 0 900. 6 2 0 491. 9 1 6 859. 6

, 1 2 947. 5 8 942 9 4 6 175. 1 4 4 667. 5 4 2 849. 8 4 2 058. 9 4 1 136. 1 3 3 440. 1 2 2 706. 9 1 4 024. 5 3 6 331. 0 3 5 445. 4 3 3 879. 6 3 3 093 3 3 2 501. 9 2 5 016 3 2 0 835. 7 1 3 839. 3 5 238. 3 5 246. 1 5 22 4 J 5 137. 7 4 966. 8 3 996. 1 4 338. 7 2 696 2 Administrativ e office s an d auxiliarie

s Employee

s (1,000 )
1 339. 3 1 311. 7 1 267. 3 1 289 2 1 256. 0 1 233. 6 1 276. 0 1 074 2 126. 5 125. 1 124. 8 122. 9 119. 3 108. 3 108. 9 102. 1 14. 5 16. 4 17. 0 20. 0 21. 5 18. 8 14. 2 8. 0 27. 1 25. 9 26. 1 25. 1 27. 3 26. 9 32. 9 33. 2 41. 1 40. 9 34. 3 33. 5 32. 1 33. 2 34. 8 27. 5 20 2 20. 5 18. 6 16. 0 17. 0 14. 1 21. 9 14. 5 12 5 11. 3 10. 4 9. 9 10. 6 11. 8 10. 6 6. 0 46. 8 47. 5 47 2 47 2 50. 3 43. 5 31. 3 37. 6 99. 6 95. 6 89. 6 80. 8 80. 1 84. 1 48. 3 38. 9 256. 6 251. 4 251. 0 257. 3 254. 0 214. 4 206 3 181. 4 35. 3 33 2 36. 8 42 3 44. 0 37. 7 76. 0 65. 3 Payrol l

(millio n dollars

)
8 4 513. 7 7 9 044. 4 7 1 012. 1 6 9 058. 8 6 4 978. 5 4 7 201. 7 3 8 220. 4 2 1 981 2 7 672. 8 7 418. 0 6 730. 0 6 508. 5 6 192 2 3 956. 1 3 031. 1 1 929. 1 922. 0 1 042. 8 978. 3 1 000. 9 969. 0 684. 9 393. 3 146. 9 1 345. 5 1 450. 0 1 179. 0 1 126. 8 1 156. 8 842. 8 794. 0 553. 0 1 680. 8 1 599. 5 1 322. 4 1 233. 3 1 196. 4 870. 4 753. 1 403. 6 1 095. 1 1 081. 3 922. 7 826. 3 774. 7 494. 4 607. 1 270 2 596. 9 525 2 455. 6 433. 5 450. 1 351 3 252. 6 140. 1 3 162 7 3 098 2 2 706. 6 2 558. 1 2 587 2 1 858. 3 1 909. 6 902 4 4 436. 6 4 133. 5 3 587. 9 3 194. 1 2 943. 7 2 410. 4 1 205 2 621. 4 1 8 042 3 1 6 932 3 1 5 684 2 1 5 005 3 1 4 594. 6 9 022 7 6 626. 8 3 798. 9 2 403. 6 2 132 1 2 210. 0 2 554 3 2 465. 0 1 672 9 2 568 2 1 562 0 See footnotes at en d o

ftable

. 

# 1- 8 INDUSTRYSTATISTIC S ANNUA L SURVE YO F MANUFACTURE S



# . 2

## P.1 4



# Tabl e 1b

. Employmen t Statistic s fo rOperatin g Manufacturin g Establishment s an d Auxiliarie s b yMajo rGroup : 199 6 an d Earlie rYears-Con

. (Fo rmeanin g o

fabbreviation s an d symbols , see introductor ytext
. Fo rexplanatio n o fterms , see appendixes ]

SI C code

3 0

3 1

3 2

3 3

3 4

3 5

3 6

3 7

3 8

3 9 Majo rgrou p an d yea r

1995.

. 1994.

. 1993.

. 1992.

. 1987.

. 1982.

. 1977.

.
1995.

. 1994.

. 1993.

. 1992.

. 1987.

. 1982.

. 1977.

.
1995.

. 1994.

. 1993.

. 1992.

. 1987.

. 1982.

. 1977.

.
1995.

. 1994.

. 1993.

. 1992.

. 1987.

. 1982.

. 1977.

. 1995.

. 1994.

. 1993.

. 1992.

. 1987.

. 1982.

. 1977.

.
1995.

. 1994.

. 1993.

. 1992.

. 1987.

. 1982.

. 1977.

.
1995.

. 1994.

. 1993.

. 1992.

. 1987.

. 1982.

. 1977.

.
1995.

. 1994.

. 1993.

. 1992.

. 1987.

. 1982.

. 1977.

.
1995.

. 1994.

. 1993.

. 1992.

. 1987.

. 1982.

. 1977.

.
1995.

. 1994.

. 1993.

. 1992.

. 1987.

. 1982.

. 1977.

. Al l establishment s Employee s (1.000 )
1 057. 2 1 058. 4 1 013. 4 972. 3 942. 2 862. 9 711 4 746. 5 81. 5 90. 5 96. 5 103. 4 105. 8 135. 7 209. 0 253. 3 549. 6 528. 9 511. 0 493. 9 496. 3 554. 4 573. 3 654. 8 710. 7 709. 8 687. 3 676. 7 688. 7 730. 0 901. 6 1 160. 4 1 529. 0 1 508 2 1 449. 3 1 410. 4 1 400. 7 1 501 3 1 511 2 1 605. 8 2 112 8 2 054. 5 1 934. 5 1 879. 6 1 865. 9 2 007. 9 2 326. 4 2 176. 4 1 724. 0 1 693. 4 1 634. 8 1 581. 9 1 563. 8 1 689. 4 

# ft
1 599 3 1 650 3 1 662 8 1 726. 0 1 783. 1 1 957 3 1 704 3 1 873. 6 889. 4 899. 4 896. 2 952 2 969. 3 1 042 3 

# ft
412 9 407. 7 397. 3 393. 4 382 3 386. 8 395. 8 451. 0 Payrol l (millio n dollars

)
3 0 750. 4 2 9 673. 4 2 7 971. 1 2 6 516. 5 2 5 048. 4 1 8 898. 1 1 2 568. 8 8 994. 3 1 777. 7 1 801. 1 1 877 2 1 989. 8 1 972. 8 1 989. 1 2 423. 5 1 992. 0 1 7 713. 1 1 6 525. 9 1 5 636. 5 1 4 764. 6 1 4 486. 3 1 3 555. 2 1 1 262. 2 8 740. 3 2 7 172. 2 2 6 426. 6 2 5 255 3 2 3 992 9 2 3 536. 6 2 0 840. 8 2 1 998. 4 1 9 776. 0 4 8 833. 0 4 6 946. 5 4 4 278. 5 4 2 119 2 4 0 929. 5 3 6 571. 9 2 9 721. 0 2 2 022 4 7 9 321. 9 7 5 187. 1 6 9 720. 1 6 5 934. 7 6 4 238 2 5 6 641 3 5 0 972 6 3 2 442. 3 6 6 173. 9 6 2 064. 9 5 6 763. 8 5 3 228. 1 5 0 711. 8 4 3 544. 3 

# ft
7 2 201. 6 7 1 892 1 7 0 611 2 6 9 738 2 6 9 982 7 6 4 865. 4 4 4 519. 7 3 3 314. 4 3 8 318. 3 3 7 467. 9 3 5 942 2 3 8 635. 1 3 6 410. 6 3 1 168 2 

# ft
1 0 957. 4 1 0 553 3 9 934 2 9 625. 0 9 216 3 7 277 3 6 010 3 4 598 3 Operatin g manufacturin g establishment s Employee

s (1.000)
1 017. 9 1 017. 8 976. 2 936. 4 906. 7 831. 0 681. 7 721. 3 77 2 86. 0 92 3 98. 6 101. 1 129. 0 200. 0 242 5 520. 4 501. 3 484. 6 468. 0 468. 8 523. 8 531. 5 613. 7 687. 4 685. 8 663. 8 652. 9 662. 1 701. 8 854. 1 1 113. 6 1 483. 0 1 463. 6 1 406. 7 1 370 3 1 362 3 1 459. 9 1 459. 7 1 555. 7 1 980. 5 1 925. 8 1 808. 3 1 749. 5 1 738. 9 1 844. 1 2 188. 7 2 083. 3 1 556. 5 1 536. 1 1 485. 0 1 437. 7 1 438. 8 1 564. 7 

# ft
1 466. 9 1 518. 3 1 544 2 1 583 3 1 646. 9 1 817. 1 1 595. 9 1 768. 1 820. 7 830. 6 828. 1 879 2 907. 1 982 0 

# P I
397. 3 392 3 382 3 379 2 365 3 373. 9 382. 7 439. 8 Payrol l

(millio n dollars)
2 8 435. 7 27 290. 4 2 5 962. 3 2 4 467. 1 2 3 156. 0 1 7 575. 3 1 1 596. 8 8 536. 0 1 600. 0 1 628. 7 1 711. 9 1 817. 5 1 806. 0 1 830. 5 2 218. 7 1 859. 7 1 5 857. 2 1 4 893. 6 1 4 144. 1 1 3 402. 9 1 3 113. 1 1 2 353. 8 1 0 096. 7 7 943. 1 2 5 644. 3 2 4 987. 5 2 3 932. 1 2 2 707. 5 2 2 202 4 1 9 800. 1 2 0 602. 7 1 8 745. 0 4 6 129. 8 4 4 527. 3 4 2 008. 8 4 0 064. 9 3 8 961. 8 3 5 026. 6 2 8 282. 6 2 1 035. 9 7 0 729 3 6 7 431. 1 6 2 204. 3 5 8 557 2 5 7 230. 9 S O 548. 4 4 6 910. 7 3 0 557. 5 5 4 311. 4 5 1 496. 6 4 8 123. 6 4 5 305. 5 4 4 196. 5 3 8 738. 2 

# ft
6 3 531. 8 6 3 891. 6 6 3 690 2 6 2 227. 4 6 2 733. 7 5 8 790. 5 4 0 811. 7 3 0 873. 5 3 3 782 7 3 3 077 2 3 1 882. 3 3 2 518. 4 3 3 067. 0 2 8 778. 0 

# ft
1 0 041. 7 6 683. 4 9 075. 4 8 858 2 8 417. 0 6 871. 6 5 646. 9 4 408. 4 Administrativ e office s an d auxiliarie

s Employee

s (1.000 )
39. 3 40. 6 37 2 35. 9 35. 6 31. 9 31. 7 25. 2 4. 3 4. 5 4. 2 4. 8 4. 7 6. 7 9. 0 10. 8 29. 2 27. 6 26. 4 25. 9 27. 5 30. 6 41. 8 41. 1 23. 3 24. 0 23. 5 23. 8 26. 7 28. 2 47. 5 46. 8 46. 0 44. 6 42. 6 39. 8 38. 4 41. 6 51. 5 50. 1 132 3 128. 7 126 2 130. 1 127. 0 163. 8 137. 7 93. 1 167. 5 157. 3 149. 8 144.2

. 125. 0 124. 7 

# ft
132 9 132 5 118. 8 142 5 136 2 140 2 108. 4 105. 5 68. 7 68. 8 68. 1 73. 0 62 2 60. 3 

# ft
15. 8 15. 4 15. 0 14 2 16. 8 12 9 13. 1 11. 2 Payrol l

(millio n dollors

)
2 314. 7 2 383. 0 2 008. 8 2 049. 4 1 892. 4 1 322. 8 972. 0 458. 3 177. 7 172. 4 165. 3 172 3 166. 9 158. 8 204. 8 132. 3 1 855. 9 1 632 3 1 492. 4 1 361. 7 1 373. 1 1 201. 4 1 165. 5 797. 2 1 527. 9 1 439. 1 1 323. 4 1 285. 4 1 334. 2 1 040. 7 1 395. 7 1 031. 0 2 703 2 2 419. 2 2 269. 7 2 054. 3 1 967. 7 1 545. 3 1 438. 4 988. 8 8 592. 4 7 756. 0 7 515. 6 7 377 3 7 007. 3 6 093. 1 4 061. 9 1 684. 8 1 1 862 6 1 0 666. 3 8 640. 2 7 922. 6 6 51S. 3 4 606. 1 

# ft
8 669. 6 8 000. 5 6 921. 0 7 510. 6 7 248. 9 8 074. S 3 708. 0 2 640. 9 4 535. 6 4 390. 7 4 059. 9 4 118. 7 3 343. 6 2 388. 2 

# ft
915. 7 869. 9 658. 8 766. 8 769. 4

. 406. 0 363. 4 190. 1



# ANNUA L SURVEYO F MANUFACTURE S INDUSTRYSTATISTIC S 1- 9 

# / 3

# Tabl e 2

. Statistic s fo rIndustr yGroup s an d Industries : 199 6 an d 199 5 [Fo rmeanin g o

fabbreviation s an d symbols , see introductor ytext
. Forexplanatio n o fterms , see appendixes

]

SI C code Industr ygrou p an d industr

y 1996

Ai l employee

s

Number (1.000 ) Payrol l

(millio n dollars )
B Production worker s

Number (1.000 ) Hour

s (mllons ) Wages

(millio n dollars ) Valu e added b y manufactur e (millio n dollars) Cos

t o f material s (millio n dollars ) Valu e o

f industr y shipment s 

### (millio n dollars )
H Ne wcapita l expendi tures (millio n dollars ) End-of-yea r inventorie

s (millio n dollars )



### 20 21 22 23 24 2 5 26 2 7 28 29 3 0 3 1 32 3 3 34 35 3 6 37 3 8 3 9

2 0
20 1 201 1 201 3 201 5
20 2 202 1 202 2 202 3 202 4 202 6
20 3 203 2 203 3 203 4 203 5 203 7 203 8
20 4 204 1 204 3 204 4 204 5 204 6 204 7 204 8
20 5 205 1 205 2 205 3 20 6 206 1 206 2 206 3 206 4 206 6 206 8 20 7 207 4 207 5

. 207 6 207 7 207 9 20 8 208 2 208 3 208 4 208 5 208 6 208 7 20 9 209 1 209 2 209 5 209 6 209 7 209 8 209 9 Al l industrie s Foo d an d kindre

d product s Tobacc o product s Textil e mil l product

s Appare l an d othe rtextil e product s Lumberan d woo

d product s Furnitur e an d fixtures Pape ran d allie

d product s Printin g an d publishin g Chemical s an d allied product s Petroleu m an d coa l product s Rubbe ran d miscellaneou s plastics product s Leathe ran d leathe rproduct s Stone , day , an d glass product s Primar ymeta l Industrie

s Fabricate d meta l product

s Industria l machiner

yan d equipment Electroni c an d othe relectri c equipment Transportatio n equipment Instrument

s an d related product

s Miscellaneou s manufacturin g industrie s Auxiliaries

3 '

. Foo d an d kindre d product s Mea t product s Mea t packin g plant

s Sausage s an d othe rprepared meat s Poultr yslaughterin g an d processin g Dair yproduct s Creamer ybutte r Cheese , natura l an d processe d Ory, condensed , an d evaporated dair y product s foe crea m an d froze n dessert s Flui d mil k Preserved fruit

s an d vegetable

s Canne d specialtie

s Canne d fruit s an d vegetables Dehydrate

d fruits , vegetables , an d soup s .. . Pickles , sauces , an d salad dressings Froze n fruit

s an d vegetables Froze n specialties , n.e.c . , Grai n mil l product

s Flou ran d othe rgrai n mi l product s Cerea l breakfas

t foods Ricemilin g Prepared flou rmixe

s an d dough s We t co m millin g Dog an d ca

t food Prepared feeds , n.e.c . Baker yproduct s Bread , cake , an d related product s Cookie s an d cracker

s Froze n baker

yproducts , excep

t bread Suga ran d confectioner

yproduct s Ra wcan e suga r Can e sugarrefinin g Bee t suga r Candyan d othe rconfectioner yproduct s an d Industr y2067 , chewin g gu n Chocolat e an d coco

a product s Salted an d roaste

d nut s an d seed s Fat s an d oil s Cottonsee

d oi l mil s Soybea n o l mil s Vegetabl e o « mils , n.e. c Anima l an d marin e fat

s an d oil s Edible tats en d oils , n.a.e . Beverage s Malt beverage

s Malt Wines , brandy , an d brand yspirit s DistBe d an d blende

d Bquor s Bottle d an d canne

d sof t drink s Flavorin g extract

s an d syrups , n.e. c Miscellaneou s food an d kindre d product s Canne d an d cured fish an d seafood s Fres h orfroze n prepared fish Roaste d coffe e Potat o chip s an d similarsnack

s Manufacture

d ice Macaron i an d spaghett i Foo d preparations , n.e.c . See footnotes at en d o

ftable

. 

### 18 665.6 1 516.6 31.4 576.4 864. 9 738. 7 514. 5 630. 6 1 515. 0 824. 4 106. 0
1 017. 9 77. 2 520. 4 

### 687.4 1 483. 0 

### 980. 5 556. 5 466. 9 820.7 397. 3 339.3

433. 4 130. 0 88. 1 215. 3 130. 9 1.6 35. 7 15. 3 19. 1 59. 3 

### 204.4 22 3 56.4 14. 1 20. 4 48. 2 42 9 100. 3 12. 6 13. 8 

### 3. 6 15.6 9. 0 13 3 32 5 219. 9 156 3 47. 4 16 2 88. 6 5. 0 3. 1 8 3 53. 1 9. 8 9. 4 25. 8 2 0 7 2

. 8 8. 5 7. 3 142 8 34. 0 1 2 17. 0 6. 6 73 3 10 3 170. 5 5. 0 39. 1 10 2 36. 0 4. 7 6. 0 69. 5 645 032. 0 

### 40 379. 9 1 521. 5 1 3 214. 8 1 4 919. 6 1 7 313. 6 1 2 413. 8 2 2 946. 5 4 6 175. 1 3 6 331. 0 5 238. 3 2 8 435. 7 1 600. 0 1 5 857 2 2 5 644. 3 4 6 129. 8 7 0 729. 5 5 4 311. 4 6 3 531. 8 3 3 782. 7 1 0 041. 7 84 513. 7 4 0 379. 9 

### 8 920. 6 2 990.7 2 174. 8 3 755. 1 

### 4 017.7 46. 0 953. 9 547. 1 

### 560. 6 1 910 2 5 131. 0 641. 8 1 480. 6 393. 3 586. 7 1 053. 3 975. 2 3 425. 2 407. 3 717. 4 100. 1 451. 7 398. 9 484. 5 865. 3 6 157. 7 4 329. 8 1 385. 7 442 2 2 602. 6 169. 1 155. 2 263. 4 1 432 8 353 3 228. 4 813. 4 50. 6 

### 236. 7 25 2 249. 5 251. 4 5 103. 0 1 538. 3 

### 50. 9 577. 2 242 2 2 285. 6 408. 7 4 208. 7 108. 1 742 1 337 3 1 079. 9 103. 8 155. 6 1 681. 8 1 2 167. 8

1 112. 6 22. 7 489. 0 726. 5 612. 8 414 2 487. 5 800. 7 476. 8 69. 1 799. 7 64. 6 402. 3 542 9 1 114. 4
1 287. 0 1 006. 3 1 032 2 423. 1 283. 4

1 112 6 370. 2 110. 7 69. 5 190. 0 82. 8 1. 1 28. 4 9. 9 13. 4 30. 0 169. 4 18. 7 46. 4 11 2 15. 6 41. 6 35. 9 70. 1 8 3 11 2 3. 0 11. 9 6 2 10. 1 19 2 

### 136. 6 86. 0 37 2 13.4 68. 7 3. 1 2. 0 7 3 41. 9 7 2 7. 1 17. 8 1. 6 4. 9 3 5. 4 5 3 71 3 

### 24. 6

.9 7 3 4.7 28. 1 

### 5. 6 125. 5 4 2 32 4 6 2 

### 25 3 2.7 4.7 49. 8 2 5 010. 5

2 300. 8 45. 7 1 015. 8 1 356. 3 1 248. 6 836. 7 1 051. 0 1 573. 4 1 014 2 160. 6 1 649. 5 124. 9 835. 8 1 170. 9 2 338. 8 2 685. 1 2 030. 8 2 153 2 850 3 567. 8

2 300 3 762 7 250. 8 143 3 368 3 178. 4 2 3 

### 58. 6 21 3 29. 1 67. 0 348. 3 38. 9 106. 1 22 8 31. 5 80. 6 68 3 158. 1 19. 8 26. 5 6. 5 26. 1 14. 4 23. 3 41. 6 270 3 169. 8 73. 4 27 3 144 3 8 3 5 2 15 3 85. 3 14. 5 15 3 40 1 3. 7 10. 8 1 2 12 3 12 1 145 3 46. 1 1. 6 15. 9 9 3 60. 4 12 0 

### 252 0 9 3 63. 6 12 2 48. 8 

### 6. 7 10. 0 101. 4 32 4 495. 8

2 5 702 2 1 009. 4 9 774. 8 1 0 397. 2 1 2 702. 0 8 350. 8 1 5 784. 9 2 0 122. 2 1 7 468. 7 3 159. 4 1 8 659. 7 1 087. 4 1 0 934. 4 1 8 432 6 2 9 722. 7 3 7 696. 6 2 5 614. 4 3 9 762. 4 1 2 304. 1 5 609. 9



### 25 702 2 6 848. 7 2 332. 8 

### 1 468. 3 3 047.7 2 320. 1 29 2 703. 4 305. 6 382. 1 899. 8 3 697. 8 491. 1 

### 1 063. 0 257. 8 395. 9 799. 9 690. 1 2 213. 6 256. 7 575. 4 72 2 298. 3 253 2 330. 5 427. 4 3 348. 0 2 100. 6 951 3 295. 9 1 788. 5 105. 4 97. 6 211. 9 990 3 228 3 156. 0 

### 492 7 32. 6 142 8 14 3 136. 7 166. 4 

### 2 442 9 1 078. 5 30. 1 215. 6 157 3 785. 8 175. 4 

### 2 549. 9 71 3 505 3 179. 0 642 4 54. 9 111. 1 985. 8 1 74 9 661. 9

178 782. 7 2 5 859. 9 3 2 554. 9 3 8 366. 2 4 1 485. 9
2 7 200. 3 7 2 289. 9 13 0 946. 0 194 412. 3 3 1 656. 1 

### 7 4 944.7 4 741. 8 4 6 054. 6 6 9 539.3 10 7 990. 4 187 217. 9 18 4 012. 7 176 597. 9 9 7 987. 3 2 7 021. 3

17 8 782. 7 2 3 517. 9 8 278. 4 

### 5 954. 2 9 285. 3 1 5 724 3 227. 1 

### 3 599. 3 2 913. 7 

### 2 684. 5 6 299. 8 24 506. 4 4 657. 7 6 214. 9 1 183. 8 3 450. 0 3 972. 7 5 027. 3 

### 21 666.7 1 522 2 

### 6 470 2 903. 9 2 390 3 2 833. 3 

### 3 496. 6 4 050 2 2 0 711. 9 1 2 759. 6 6 598 2 1 354. 1 1 2 640 2 610. 5 577. 1 607. 9 7 740 2 1 444. 3 1 360. 5 

### 4 257. 9 247 2 1 424. 8 149. 1 1 041. 6 1 395. 1 

### 3 5 209 3 1 1 139 3 257. 5 2 814. 3 1 959 3 1 2 867. 1 6 171. 8 

### 2 0 547. 8 324. 6 2 312 1 2 892. 6 

### 6 315. 3 278. 3 807. 7 7 617 2 1 975 362 1

28 3 715. 7 8 656. 5 4 7 526. 5 3 8 990. 1 6 5 173. 0
2 8 540. 5 8 8 074. 7 64 691. 5 17 4 012 2 14 3 508. 3
75 850. 8 4 621. 8 3 6 582 9 108 907. 1 106 770. 7 194 259. 1 13 6 919. 6 

### 29 3 399. 0 5 3 091. 1 2 2 071. 1

28 3 715. 7 

### 78 713. 0 4 2 762 6 1 4 925. 1 21 025. 3 42 774. 4 950. 6 1 6 295. 4 4 818. 4 3 541. 9 1 7 168. 1 2 7 222. 2 3 412 8 8 650. 2 1 811. 9 3 445. 2 5 523. 7 4 378. 3 

### 37 039. 5 5 872 9 2 623. 3 1 630. 5 2 536.4 6 201. 4 4 113. 4 1 4 061. 6 '1 2 030. 0 7 093. 0 3 742 2 1 194. 8 1 3 673. 6 849. 7 2 085. 4 1 911 3 

### 4 746. 0 2 035. 0 2 045. 4 1 9 130. 4 696. 0 1 2 768. 4 

### 572 2 1 321. 9 3 771. 9 3 3 521. 0 7 048. 7 

### 647. 8 3 078. 5 1 728 2 1 9 133. 7 1 884. 1 1 9 611. 6 538 3 4 441. 4 3 689. 9 

### 2 823 3 125.7 666 2 7 326. 4 46 1 324. 2

3 4 481. 7 8 0 242. 0 7 7 628. 1 10 6 518. 1 5 5 696. 7 160 661. 0 195 435. 2 36 7 441. 8 17 4 284. 6 15 0 467. 5 9 308. 5 8 2 441. 3 178 297. 8 21 4 006. 3 38 1 793. 7 32 0 614. 7 46 5 172 2 15 1 015. 9 4 8 596. 8

46 1 324 2 102 103. 0 5 1 088. 6 2 0 854. 2 3 0 160. 2 5 8 123. 1 1 179. 7 1 9 840. 0 

### 7 489. 0 6 160.0

. 2 3 454. 5 5 1 708. 0 8 051 2 1 4 694. 6 2 928. 1 

### 6 897. 9 9 532.4 9 403. 8 5 8 473. 4 

### 7 383. 6 9 105 2 2 467.7 4 913. 7 

### 8 956.0 7572 2 1 8 075. 0 3 2 741 2 1 9 858 3 1 0 346. 7 2 535. 7 2 6 265. 1 

### 1 467. 0 2 665. 8 2 839. 3 1 2 452 6 

### 3 450.7 3 369. 6 2 3 387. 6 941. 6 1 4 197. 0 713. 6 2 348. 9 5 186. 5 

### 68 387. 0 1 8 220. 1 854. 0 5 548. 0 

### 3 672 9 32 023. 6 8 068.4 4 0 135. 9 863. 7 6 741. 8 6 552 0 9 132. 9 403. 0 1 471 2 1 4 971. 2 13 9 322 5

1 1 717. 3 648. 9 2 665. 7 964. 2 

### 3 305. 1 1 252. 4 9 301. 6 5 912. 2 

### 20 041. 0 5 572. 2
7 021. 7 127. 8 4 157. 4 7 299. 1 6 873. 5 1 1 450. 7 2 0 867. 4 1 3 498. 0 5 273. 8 1 372 7

1 1 717 3 

### 1 832. 6 590. 0 545. 2 697. 4 1 056. 0 3. 8 

### 295 2 235. 1 178. 1 343. 9 1 405. 3 189. 4 323. 0 159. 5 110. 2 384. 7 238. 4
1 911. 9 113. 0 375. 9 37. 9 164. 0 810. 3 210. 5 200. 4
1 006. 0 518 2 374. 5 111 4 872 6 70. 3 33. 6 111. 6 381. 3 80. 6 195 2 486. 7 44 3 272 0 

### 6. 9 43. 9 119. 4 2 010. 7 877. 0 

### 40 2 269. 3 54. 0 605. 4 164. 9 1 135 3 24 2 106 3 145 2 415 3 10. 7 31. 4 402 0 42 7 101. 5

3 5 973. 2 6 256. 5 9 478. 2 1 0 015. 5 1 0 424. 0 6 483. 8 1 5 887. 3 1 3 024. 2 4 0 762. 1 1 2 045. 3 1 5 583. 9 1 530. 9 

### 8 679.4 24 384. 8 27 384.0 55 910 2 3 7 953.0 6 2 347. 6 24 516. 5 8 461 2

35 973 2 3 630. 0 1 125. 9 1 223. 4 1 280. 6 3 157. 1 31. 7 1 Z78. 0 877. 7 414. 8 555. 0 8 731. 7 885. 2 3 816. 3 888. 2 618. 3 1 933. 7 590. 0 

### 3 407. 0 597.7 329.4 442 5 292 0 582. 3 366. 8 796. 3 1 154. 8 431. 6 538. 8 184. 4 3 612 6 350. 7 253. 9 743 3 1 139. 9 445. 1 679. 6 1 945. 6 337. 8 1 011. 8 107. 4 114. 5 374. 1 7 199. 1 573. 4 256 2 2 771 2 1 836 3 1 253. 8 508. 0 3 135 2 176 2 782. 1 509. 0 239. 8 

### 38. 6 100. 0 1 289. 5


# 1-1 0 INDUSTRYSTATISTIC S ANNUA LSURVE YO F MANUFACTURE S 

# IH

## P.1 6

Al l employee

s

Number (1,000 )
K
1 8 730. 9 1 519. 7 31. 3 609. 7 946. 6 740 2 511. 3 629. 2 1 524. 9 838. 8 109. 9 1 017. 8 86. 0 501. 3 685. 8 1 463. 6 1 925. 8 1 536. 1 1 518. 3 830. 6 392 3 1 311. 7 1 519. 7 428. 6 125. 8 88. 6 214. 3 132. 9 1.5 35 2 15. 4 19 2 61. 6 210. 3 21 2 60. 0 13. 8 22 2 49 2 43. 9 105. 5 13. 0 16. 6 4. 0 15. 0 9 2 13. 4 34 2 220 2 155. 9

. 49 3 15. 0 89. 7 5 3 3. 4 8. 5 52 1 9. 9 10 3 25. 8 2 1 7. 4 3 8. 5 7. 0 141. 0 32 6 1 2 16 3 6. 7 73. 1 11. 1 165. 7 5 3 38 2 9. 7 34. 9 4 3 6. 0 66. 8 PayroP

(rrrilBo n dollars)
L
62 4 407. 1 3 9 622. 2 1 483. 9 1 3 481. 7 1 5 703. 5 1 6 675. 4 1 1 852. 2 2 2 277. 3 4 4 667. 5 3 5 445. 4 5 246. 1 2 7 290. 4 1 628. 7 1 4 893. 6 2 4 987. 5 4 4 527. 3 6 7 431. 1 5 1 496. 6 6 3 891. 6 3 3 077 2 9 683. 4 7 9 044. 4 3 9 622 2 8 738. 9 2 898. 1 2 194. 9 3 645. 9 3 972 4 43. 4 928. 4 545. 4 554. 5 1 900. 6 5 048 3 602 9 1 460 3 362 7 617. 4 1 029. 5 975. 9 3 469. 3 418. 1 758. 6 106. 3 438. 4 393. 1 464. 1 890. 6 6 069. 9 4 296. 7 1 375. 0 398 2 2 537. 0 166. 8 160. 5 257. 3 1 358 3 345. 0 248. 7 797. 9 50. 5 242. 8 24. 7 244. 9 235. 0 4 991. 6 1 536. 9 49. 3 522 7 234. 8 2 238. 8 409. 1 3 996. 4 102 4 726 2 322 3 990. 4 101 2 151. 7 1 602 4 Productio n worker s

Numbe r (1.000 ) M
1 2 253. 1 1 120. 3 22 2 519. 6 792. 0 613. 8 412. 8 487. 3 801. 5 486. 8 71 2 800 2 72. 0 387. 8 540. 4 1 098 3 1 261. 1 998. 4 1 064 2 423. 4 279. 7

. 1 1 120. 3 369. 5 107. 9 70. 1 191. 5 83. 7 1. 0 28. 1 9. 9 13. 6 31. 0 175 3 17. 5 50. 3 11 3 17 2 42 3 36. 4 73. 9 9. 4 13 3 3. 1 11. 4 6 2 9. 6 20. 3 138. 1 87. 1 38 3 12 2 69. 4 3. 4 2 3 7 3 40.7 , 7. 0 8. 4 17. 8 1. 6 5. 1 3 5. 6 5. 0 71. 7 23. 6

. 9 7 3 4. 8 28. 5 6. 4 121. 1 4. 7 31 2 5. 8 24. 6 2 8 4. 8 47 2 Hour

s (millions )
N
2 5 072. 0 2 314. 0 44. 7 1 067. 4 1 458. 3 1 247. 7 828. 8 1 045. 3 1 581. 1 1 026. 7 163. 2 1 633. 9 135. 7 809. 2 1 155. 7 2 300. 0 2 631. 4 2 009. 6 2 215 2 847. 6 556. 6

. 2 2 314. 0 756. 2 243. 1 146. 6 366. 4 180. 0 2 1 57. 8 21. 7 28. 7 69. 6 356. 3 38. 1 113. 0 21. 6 33. 5 80. 5 69. 5 162. 9 20. 5 30. 7 7 2 25. 0 14. 5 22 0 43. 0 280. 0 177. 7 76. 1 26 2 146. 8 9. 0 5. 9 15. 9 63. 8 14 2 18. 0 40. 4 4 2 11. 1 1. 1 12 6 11. 1 148. 6 45. 1 1. 7 15. 1 10. 0 62 2 14. 5 242. 8 8. 9 63 2 12 6 46. 5 6. 7 9. 7 95. 3 Wages

(millio n dollars )
O
31 7 767. 5 2 5 362 0 976. 4 1 0 006. 8 1 1 021. 6 1 2 263 3 7 995. 7 1 5 402. 4 1 9 500. 8 1 7 004. 7 3 156. 5 1 8 065. 5 1 122. 4 1 0 348. 8 1 7 959. 1 2 8 764. 4 3 6 340. 4 2 4 515 2 4 0 457 3 1 2 067. 9 5 434 3 1. 7 2 5 362 0 6 785. 7 2 322 4 1 499. 3 2 964. 0 2 257 3 27. 1 677. 1 287. 7 371 6 891. 7 3 638. 4 460. 4 1 069. 7 241. 7 419. 4 759 2 687. 9 2 233. 3 271. 9 603. 5 71. 4 295 2 248. 6 301. 0 441. 6

. 3 366. 7 2 138. 4 958 2 270 2 1 734 2 103. 4 100. 0 210. 5 940 2 213 3 166. 9 493 3 34 2 148 3 13. 7 148. 0 148. 7 2 460. 0 1 078. 9 29. 3 197. 0 153 3 813. 9 187. 1 2 393. 0 67. 4 493. 4 172 9 57& 3 51 2 108. 1 921. 7 199

5
Valu e adde d b y manufactur e (millio n dollars )
P
1 71 1 442 3 17 9 787. 8 2 4 715. 4 32 835. 7 3 9 487. 4 4 0 987. 6 26 339. 1 8 0 487. 7 125 737. 0 196 358. 0 2 9 337. 1
7 2 370. 4 4 230. 2 4 2 377. 1 6 9 587. 3 10 2 417. 7 176 093. 4 173 471. 1 17 3 912. 7 9 5 199. 0 2 5 615. 0 95. 5 •17 9 787. 8 2 5 470. 7 8 909. 4 6 234. 6 1 0 326. 7 1 5 653. 5 180. 6 3 721. 7 2 944. 1 2 456. 4 6 350. 7 24 449. 1 4 411. 4 5 885 2 1 251. 3 4 002. 4 3 916. 7 4 982 0 2 6 055. 6 8 922* 1 477. 1 2 358. 1 4 075. 8 3 279. 1 4 943. 4 2 0 200. 7 1 2 501. 5 6 376. 3 1 322 9 1 1 784 3 568. 8 540. 2 879. 4 6 864. 6 1 548. 4 1 383 2 4 414. 4 205. 4 2 086. 8 123. 5 837. 1 1 161. 6 3 2 448. 7 1 0 307. 0 235. 4 2 219 3 2 050. 6 1 1 854. 0 5782 2 1 9 310. 6 299. 5 2 316. 0 2 603. 7 8 023. 4 291. 3 887. 6 6 889. 0 Cos

t o f material s (millio n dollars ) Q
1 89 7 570. 7 26 7 937. 3 8 251. 9 4 7 493 2 3 8 950. 9 64 390. 4 2 7 205. 0 94 838. 8 6 2 878. 1 166 627. 3 12 2 471. 9
7 4 069. 6 4 915. 4 3 4 065. 7 11 1 945. 3 10 3 263. 6 180 393. 5 13 0 527. 1 28 6 667. 8 4 9 276. 5 2 1 346. 6 54. 6 26 7 937 3 7 5 680. 9 4 2 456. 7 1 4 516. 6 1 8 707. 7 4 0 305. 6 770. 0 1 4 757 3 4 639. 7 3 570. 0 1 6 568. 4 2 6 665. 1 3 251 2 8 528. 1 1 704. 4 3 741. 7 5 157. 8 4 281. 9 3 1 472 4 5 257. 8 2 519. 8 1 402 0 2 402 0 4 507 2 3 961. 9 1 1 421. 7 1 2 113. 1 7 261 3 3 721 3 1 130. 0 1 2 921 3 825 2 2 002 0 1 947. 0 4 405. 8 1 799. 7 1 941 3 1 7 175. 4 616. 6 1 1 272 3 591. 9 1 173. 8 3 520. 8 3 2 075. 4 6852 3 531 3 2 629. 6 1 669. 4 1 8 349. 7 2 042 7 1 9 527 3 513 3 4 491 3 3 876 2 2 729. 1 127. 9 667. 0 7 122. 7 Valu e o

f industr y shipment s (millio n dollars )
R
3 594 359. 6 44 6 868. 6 3 2 983. 8 7 9 873. 8 7 8 103. 4 10 4 944. 3 5 3 473. 9 173 715. 8 188 133. 5 36 1 160. 7 15 1 439. 2 14 5 739. 6 9 164. 7 7 5 931 2 18 0 314. 4 20 4 383. 9 35 3 337. 8 30 1 447. 4 46 1 803. 9 144 719. 4 4 6 670. 2 150. 1 44 6 868. 6 100 954 2 5 1 314. 4 2 0 710. 8 2 8 929. 0 5 5 797. 1 947. 0 1 8 411. 1 7 500. 3 6 039. 9 2 2 898. 9 5 1 041. 3 7 664. 0 1 4 362 3 2 949 2 7 747. 0 9 056. 0 9 262 7 5 7 496. 3 7 257. 7 1 1 479. 4 1 890. 4 4 751. 5 8 537. 1 7 253. 0 1 6 327. 1 3 2 275. 9 1 9 762 4 1 0 068. 7 2 444 3 2 4 569. 3 1 403. 4 2 582 2 2 765. 0 1 1 236 3 3 334. 3 3 247. 7 2 1 528. 3 839. 1 1 3 275. 5 721. 7 2 020. 2 4 671. 8 6 4 398. 0 1 7 150. 8 717. 7 4 798 2 3 703. 3 3 0 203. 3 7 824. 6 3 8 808 2 812 5

. 6 807. 7 6 439 2 8 748. 9 420. 8 1 557. 6 1 4 021. 6 Ne

w capita l expendi ture s (millio n dollars )
S
12 8 473. 4 1 1 812 1 411. 0 2 885. 9 1 187. 4 3 059. 5 1 223. 8 8 369. 0 5 612 2 1 7 556. 7 6 203. 8 6 639. 1 125. 6 3 366. 5 6 671. 7 7 089. 7 9 971. 3 1 7 207. 5 1 3 302. 9 4 534 2 1 243. 5

1 1 812 1 1 587. 5 440. 9 420. 6 725. 9 1 305. 6 6. 9 358. 8 248. 9 257 2 433. 8 1 600. 5 238. 8 492 6 120. 1 113 2 366. 3 269. 7 1 977. 5 208. 0 369. 0 41. 1 136. 6 774. 5 233 3 215. 0

. 1 118. 7 547. 6 477 3 93. 7 809 3 57. 4 62 2 122 0 407. 0 88. 6 72 1 343. 8 12 2 161. 7 4. 6 61. 0 84 3 2 026. 5 860 3 49. 8 209. 4 67 3 684. 4 154. 7 1 042 5 19 2 135. 6 134. 7 328 2 7. 0 27. 6 390 3 End-of-yea r

inventorie

s (millio n dollars )
T
42 1 242 3 3 4 827. 3 6 100. 3 9 841. 1 1 1 534. 9 1 0 576. 8 6 583. 3 1 7 172. 7 1 3 638. 9 3 9 561. 2 1 0 829. 3 1 5 092 4 1 507. 5 8 358. 8 2 4 051 3 2 6 506. 8 5 7 106. 2 3 7 989. 8 5 7 664. 2 2 4 233. 4 8 066. 0

3 4 827. 3 3 491. 5 1 178. 6 1 203. 4 1 109. 4 2 901. 0 33. 3 1 277. 4 649. 1 373. 1 568. 1 8 535. 9 927. 0 3 612 0 870. 0 722. 9 1 811. 7 592 2 3 385. 4 729 3 327. 6 403. 9 273. 4 492. 9 353. 4 804. 9 1 185. 0 462. 7 563. 6 158. 7 3 735 2 359. 8 370 3 745 3 1 197. 5 414. 8 647. 4 1 885. 3 278. 6 1 065. 3 69. 8 98. 8 353. 0 6 488. 6 594. 2 253. 5 2 386. 3 1 399 3 1 249. 5 605. 6 3 219. 5 177. 1 856 3 509. 0 246. 6 18. 9 102 6 1 306. 9 Standar

d erro ro festimate 1 (percent

) fo r column —

A
1 1 1 2 3 2 2 2 2 2 2 2 8 2 2 1
1 2 1 2 3 1 1 3 4 2 5 3 3 4 5 1 0 4 2 5 3 6 9 4 3 2 7 3 5 7 1 2 3
2 2 3 9 4 1 1 3 7 8 4 3 1 9 2 8 1 1 5 5 5 2 5 1 0 9 8 1 8 3 1 1 5 4 5 1 6 1 4 F
1 1 1 2 2 2 2 1 1 1 2 1 7 2 1 1 1 2 1 2 3 (X) 1 2 2 3 3 3 8 3 1 1 7 4 2 2 4 6 7 4 5 3 5 1 2 6 1 0 1 2 8
1 1 2 7 2 1 9 1 6 2 2 6 4 8 1 1 7 1 0 2 1 5 7 9 4 3 3 1 4 1 1 2 5 1 0 1 4 1
1 2 1 3 5 3 5 5 4 3 1 4 1 0 3 4 3 2 2 1 2 8 (X ) 2 4 5 4 9 4 3 7

•7 1 1 1 1 6 4 3 5 6 1 0 1 2 2 2 1 3 1 2 1 3 1 4 1 0 3 2 4 1 7 1 2 4 3 1 0 3 6 1 2 4 7 3 1 4 1 1 0 8 8 3 1 1 7 1 2 6 5 1 7 4 2 1 1 3 2 5 3 1 1 1 0 K
1 1 1 2 2 1 2 1 1 2 1 1 5 1 1 1 1 1 1 1 2 1 1 3 4 2 5 2 3 2 4 1 0 3 2 2 2 5 5 4 2 2 6 2 5 4 1 2 3 1 2 3 7 3 1 0 3 4 8 3 3 5 2 5 1 1 5 5 4 2 3 1 2 1 8 6 2 9 5 3 4 1 5 1 3 P
1 1 1 2 2 1 2 1 1 1 2 1 5 1 1 1 1 1 1 1 2 1 1 2 3 3 3 3 4 2 8 7 4 2 1 3 7 4 3 5 2 1 0 1 1 8 2 1 2 5 1
• 1 2 4 2 1 1 2 0 7 1 2 8 3 8 1 1 5 9 2 1 7 6 1 0 4 2 2 1 3 9 2 4 1 3 1 3 S
1 2 1 4 3 3 6 1 3 3 1 2 1 2 3 2 2 2 2 1 2 6 (X ) 2 5 5 5 9 4 3 8 4 6 1 6 7 6 2 1 5 1 0 7 1 1 2 2 8 1 2 1 8 1 5 9 4 3 7 1 1 5 2 4 3 5 3 3 9 3 9 7 1 7 1 1 2 9 7 3 1 3 4 1 2 6 5 1 6 5 2 6 1 4 8 8 3 5 1 9 SI C code

2 0 2 1 2 2 2 3 2 4 2 5 2 6 2 7 2 8 2 9 3 0 3 1 3 2 3 3 3 4 3 5 3 6 3 7 3 8 3 9

2 0 20 1 201 1 201 3 201 5 20 2 202 1 202 2 202 3 202 4 202 6 20 3 203 2 203 3 203 4 203 3 203 7 203 8 20 4 204 1 204 3 204 4 204 5 204 6 204 7 204 8 20 5 205 1 205 2 205 3 20 6 206 1 206 2 206 3 208 4 206 6 206 8 20 7 207 4 207 5 207 6 207 7 207 9 20 8 208 2 208 3 208 4 208 5 208 6 208 7 20 9 209 1 209 2 209 5 209 6 209 7 209 8 209 9


# ANNUA L SURVEYO F MANUFACTURE S INDUSTRYSTATISTIC S 1-1 1

/ . "

## P.1 7 

# ASN\

199 6 Annua l Surve

yo fManufacture s

M96(AS)-2 

# Valu e of Product Shipment s

U.S

. Departmen t o fCommerce Economic s an d Statistic

s Administratio n BUREA U O F TH E CENSU S 

# n

## P.1 8



# Acknowledgments

Jud yDodds , Assistan t Chieffo rCensu s an d Relate d Programs , wa s responsibl e fo rth e overal l managemen t o fth e Annua l Surveyo fManufacture s (ASM)

. Sh e guide d th e plannin g an d implementatio n ofth e projec t an d coordinate d activitie s wit h othe rdivisions

. Th e reviewan d analysi s o fth e dat a were performe d byManufacturin g an d Constructio n Divisio n analyst s unde rth e directio n o fKennet h I

. Hanson , Chie fo fth e Manufacture d Durable s Branch , an d Michae l J

. Zampogna , Chie fofth e Manufacture d Nondurable s Branch , assiste d byMichae l Brown , Raphae l S

. Corrado , A l Foreman , Mende l Gayle , Rober t Miller , Rober

t Reinard , Nathanie l Shelton , Milbre n Thomas , Bria n Appert , Zoraid a Arledge , Stani s Batton , Caro l Beasley , Chri s Blackburn , Larr

yBlumberg , Vera Harris-Bourne , Brend a Campbell , Kimberl yCredito , Renee Coley , Suzann e Conard , Mar yEllickson , Merr

yGlascoe , Indre k

Grabbi , Kaylen e Hanks , Kare n Harshbarger , Nanc yHiggins , Walte rR

. Hunte rJr. , Ji m Jamski , AndrewKraynak , Ronann e McConkey , Keit h McKenzie , Philipp e Morris , Joann a T.Q

. Nguyen , Bett yPanned , Joyc e Pomeroy , Stephe n Pope , Venita Powell , Arminta Quash , Annett e Ralston , Cind i Ramsey , Joh n C

. Savage , Wand a Sledd , Susa n Sundermann , Dora Thomas , An n Truffa , Richard Wiesler , Kristi n Williams , Lissen e Witt , an d Mik e Yamaner

. Th e coordinatio n activities , suc h a s developin g specification s an d procedure s an d liaiso n wit h th e Dat a Preparatio n Division , wer e conducte d b ySheil a Proudfoot , Rober t A

. Rosati , Denni s Scheurich , Richard Sterner , Richard Williamson , an d Brand yYarbroug h unde rth e directio n o fDenni s L

. Shoemaker , Chief , Post Collectio n Censu s Branch

. Unde rth e directio n ofA Willia m Visnansky , Chief , Specia l Report s Branch , Barut i A

. Taylo r an d Juliu s Smit h assiste d byVeronic a Whit e performe d th e overal l coordinatio n o fth e publicatio n process

. Th e desig n an d implementatio n o fth e sample , a s wel l as th e coverag e operation s designe d t o maintai n th e qualityo fth e sampl e wer e provide d byth e Researc h an d Methodolog yStaff

. Thi s staf f als o wa s responsibl e fo rth e developmen t o fth e estimatio n procedure s use d b yth e surve y includin g estimate s o freliabilityshow n i n th e publishe d tables

. Keymember s o fth e Researc h an d Methodolog yStaf

finclude d StaceyCole , Dougla s Bond , Cath yRitenour , an d Rober t Struble

. Thi s staf fworke d unde rth e directio n o fBria n V

. Greenberg , Assistan t Chie ffo rResearc h an d Methodology

. Th e compute rprocessin g system s wer e develope d an d coordinate d unde rth e directio n of Marti n S

. Harahush , Assistan t Chie fQuinquennia l Programs , Economi cStatistica l Method s an d Programmin g Division

. Ro ySmith , Hug h Watters , Venanci o Aguirre , Georg e Boerckel , Rober t Conard , Phuong-Ma i Do , Florenc e Gapsis , Joh n Goshorn , Lor i Guido , Virgini a Hicks , Trac i Least , Hie u Nguyen , an d Charle s Stou t develope d th e compute reditin g an d tabulatio n program s unde rth e directio n ofGar yT

. Sheridan , Chief , Manufacturin g an d Constructio n Programmin g Branch

. Mailou t preparatio n an d receip t operations , clerica l an d analytica l revie wactivities , data keying , an d geocodin g revie wwere performe d i n th e Dat a Preparatio n Divisio n unde rth e directio n of Judit h N

. Petty , Chief

. Th e staf fo fAdministrative an d Custome rService s Division , Walte rC

. Odom , Chief , performe d publicatio n planning , design , composition , editoria l review , an d printin g plannin g an d procurement

. Cynthi a G

. Brook

s provide d publicatio n coordinatio n an d editing

. Specia l acknowledgmen t i s du e t o th e man ybusinesse s whos e cooperatio n wa s essentia l t o th e succes s o fth e survey

.



# t€

## P.1 9



# 199 6 Annua l SurveyofManufacture s M96(AS)- 2 

# Valu e o f Produc t Shipment s

Issue d February199 8 i 

## ro . (



# U.S

. Departmen t o fCommerc e Willia m M

. Daley , Secretary Robert L

. Mallett , Deput ySecretar

y 

# Economic s an d Statistic s Administratio n Lee Price , Actin g Unde rSecretar y fo rEconomi cAffairs BUREA U O F TH E CENSU S Jame s F

. Holmes , Actin g Directo r 

# M

### P.2 0



# wwww

_ _ _

ECONOMIC S AN D STATISTIC S ADMINISTRATIO N 

# Economic s an d Statistic s Administratio n Le e Price , Actin g Unde rSecretar y fo rEconomi cAffair s BUREA U O F TH E CENSU S Jame s F

. Holmes , Actin g Directo r Bradfor d R

. Huther , Deput yDirecto r Paul a J

. Schneider , Principa l Associat e Directo rfo rProgram s Frederic k

T

. Knickerbocker , Associat e Directo rfo rEconomi cProgram s Thoma s L

. Mesenbourg , Assistan t Directo r fo rEconomi cProgram s ECONOMI C PLANNIN G AN D COORDINATIO N DIVISIO N Joh n P

. Govoni , Chief MANUFACTURIN G AN D CONSTRUCTIO N DIVISIO N Davi d W

. Cartwright , Chief

Fo rsal e b ySuperintenden t o fDocuments , U.S

. Governmen t Printin g Office , Washington , D C 20402

.



# S>&

## P.2 1



# Content s Valu e o fProduc

t Shipments [Page number s liste d her

e omit th e prefixtha

t appear s a s par t o fth e numbe ro

feac h page ] Pag e Introductio n 1

TABLE S 1

. Valu e o fShipment s fo rProduc t Classes : 1992to199 6 7 2

. Shipment s ofSelecte d Produc t Classe s Primar

yt o More Tha n On e Industry : 199 2 t o 199 6 3 7

APPENDIXE S A

. Qualification s ofSelecte d Produc t Clas s Code s A- 1 B

. Curren t Industria l Reports b yProduc t Clas s Code s B- 1



# ANNUA L SURVEYO F MANUFACTURE S CONTENT S II I 

# 9-1

## P.2 2



# Tabl e 1

. Valu e o fShipment s fo rProduc t Classes : 199 2 t o 199 6 [Fo rmeanin g o

fabbreviation s an d symbol s an d explanatio n o fterms , se

e introductor

ytext ]

Industr y an d produc t clas s cod e Descriptio n Valu e o fproduc t shipment

s (millio n dollars

) 

### 199 6 199

5 1994 

### 199 3 1992 Standar d erro r o festimate ' (percent ) fo rcolumn

—

2 0

2011 - 2011 1 2011 2 2011 3 2011 4 2011 5 2011 6
2011 7 2011 8 2011 9 2011 B 2011 0 2013 - 2013 6 2013 7 2013 8 2013 B 2013 0 2015 - 2015 1 2015 2 2015 3 2015 4 2015 5
2015 9 2015 0 2021 - 2021 0 2022

- 2022 3 2022 4 2022 5 2022 0 2023 - 2023 5 2023 6 2023 7 2023 8 2023 9 2023 0 2024

- 2024 0 2026

- 2026 1 2026 2 2026 3 2026 5 2026 7 2026 8 2026 0 2032 - 2032 1 2032 2 2032 3 2032 4 2032 0 2033 - 2033 1 2033 2 2033 3 2033 5 2033 6 2033 8 2033 A 2033 B 2033 0 2034 - 2034 2 2034 3 2034 0 2035

- 2035 2 2035 3 2035 4 2035 0 2037 - 2037 1 2037 2 2037 0 2038 - 2038 2 2038 4 2038 0 

## FOO DANDKINDRE DPRODUCT S

Fres h an d froze n meat fro m animal s slaughtere d i n thi s plan t Beef , no t canned ormad e int

o sausage Veal , no t canne d ormad e int

o sausage Lam b an d mutton , no

t canned o rmad e int

o sausag e Pork , no t canne d ormad e Int

o sausage Lard 4 Pork , processe

d o rcured (no

t canne d ormade int

o sausageXse

e also code 20136)2 Sausages an d similarproduct s (no t carmed)(se

e also code 20137) 2 Canned meat

s (excep t dog , cat , an d bab

yfood)(se

e also code 20138) 2 Hides , skins , an d pelt

s Miscellaneou s byproduct s o fmea t packin g plant

s Fres h an d froze n mea

t fro m animal s slaughtere d i n thi s plant , n.s.k

. Sausag e an d othe rprepare d meat * Pork , processe

d o rcured , includin g frozen , no t canned o rmade int

o sausag e (se e als o cod e 20116) 2 Sausag e an d similarproducts , no t canned (see also cod a 20117) 2 Canned meat

s (excep t dog , cat , an d bab

yrood), containin g 2 0 percent ormor e mea t (see als o code 20118) 2 Othe rprocessed , frozen , o rcooke d meat s Sausag e an d othe rprepared meats , n.s.k

. Poultr yan d eg g processin g Youn g chicken s (usuallyunde r2 0 week s o fage) whol e orpart

s Hen s and/o rfowl (includin g froze n whol e o rparts) Turkey s (includin g frozen , whol e o rparts ) Othe rpoultr

yan d smal l gam e (includin g frozen , whol e o rparts)

. Processe d poultr yan d smal l gam e (excep t soups ) containin g 2 0 percent or mor e poultr yo rmea t .quid , dried , an d froze n egg s Poultr yan d eg g processing , as-k

. Creamer ybutte r Creamer ybutter Cheese , natura l an d processe d Natura l cheese , excep

t cottage cheese (Cheddar, brick, grated , cream , Swiss , Italian , etc. ) Process cheese an d related product s Cheese substitute

s Cheese , natura l an d processed , n*.k

. Dry , condensed , an d evaporata d dair yproduct s Dr yrrtfl k product s an d mixture

s Canned mfl k

product s (consume rtyp

e cans) , excep

t substitute

s Concentrate

d mH k product s shippe d i n bu k (barrels , drums , an d tanks) , excep t substitute

s Ice crea m mixe

s an d related product

s Dair yproduc t substitute

s Dry , condensed , an d evaporated ml k products , n.s.k

. k a crea m an d froze n dessert s Ice crea m an d Ices Flui d mil k Bul k flui d mil k

an d crea m Packaged fluid mil k

an d related products

. Includin g cartons , bottles , cans , an d dispense rcan s Cottag e cheese (includin g bakers ' cheese , po t cheese , an d farmers ' cheese).

. Yogurt , excep

t froze n Perishabl e dair

yproduc t substitute

s Othe rpackage

d rri k products , n-ex . Flui d milk

, ru_k

. Canne d specialtie s Canned bab

yfoods, excep

t cerea l an d biscuits 4 Canned soups , excep

t froze n o rseafood 4 Canned dr

ybeans 4 Othe rcanned specialtie

s an d canned nationalit

yfoods 4 Canned specialties , ruU

. Canne d fruit s an d vegetable * Canned ffufis , excep

t bab yfoods 4 Canned vegetables , excep t homin yan d mushrooms 4 Canned homin

yan d mushrooms 4 Canned vegetabl e Juices * Catsu p an a othe rtomat

o sauces , pastes , etc 4 Jams , jellies , an d preserves 4 Canned fruit Juices , nectars , en d concentrates 4 Fres h fruit juices an d nectar* , singl e strength 4 Canned fruit

s an d vegetables , as X Drie d an d dehydrate d fruits , vegetables , an d soup * Sou p mixes , dried ,.............••....................••.••.....••••.•. . Dried an d dehydrate

d fruit s an d vegetable

s (Inducin g freeze<lried ) Dried an d dehydrate

d fruits , vegetables , an d soups . n.s.k

. Pickles , sauces , an d sala d dressing * Pickle s an d othe rpidded products 4^ Prepared sauce

s (excep t tomato)

4 Mayonnaise , salad dressings , an d sandwic h spreads4 pickles , sauces , an d sala d dressings , rus „ Froze n fruit s an d vegetable s Froze n fruits , juices , ades , drinks , an d cocktails 4 Froze n vegetables4 Froze n fruit

s an d vegetables , n*J t Froze n spedaW** , itex

. Froze n dinners : bisef

, pork , an d poultr

ypies ; an d nationalit

yfoods Othe rfroze n specialties , n.e.c ' Froze n specialties , n.e. c n_J c Se e footnotes at en d o

ftable

. 

### 4 7 092.8 2 4 753.4 329.7 402. 6 1 1 799. 5 227. 1 

### 2 417. 6 2 223. 6 2 099.4 1 433. 3 1 8 746

. 4 730. 5 5 739. 1 1 109. 0 6 410. 4 757. 3 

### 29 980. 8 1 6 421. 4 165. 1 2 909. 8 

### 79. 0 8 455. 8 1 425. 1 524. 5 1 542. 1 1 54Z 1 1 8 283. 7 1 1 336. 7 

### 6 296. 3 300. 5 350. 3 7 747.7 3Z77. 8 892. 3 

### 766.7 780. 4 

### 1 959. 9 70.7 6 135.3 6 135.3 20 029.0 3 360.7 1 2 831. 8 800. 4 1 170. 7 413. 0 950. 6 S01. 7 

### 6 25 9 5 2 389.7 994. 6 

# u Q
1 5 99X 5 2 225. 2 2 950. 9 211. 4 481. 0 4 612. 8 974. 4 2 830. 0 1 412. 9 295. 0 3 421. 1 652. 4 

### 2 690. 0 78. 6 5 867. 2 1 399. 7 1 237. 4 3 135. 9 94. 1 

### 9 230. 0 3 369. 8 5 798. 4 61. 8 

### 8 635. 9 6 773 5 1 656. 6 205. 9 4

7 276.2 2 5 949. 2 358. 3 405. 6 1 0 558. 9 176. 8 2 192. 7 2 117. 9 (D ) 2 184. 1 

## < D



## _ 1 824. 6 1 8 601. 4 4 441. 5 5 511. 2 1 017. 8 

### 6 822.3 808. 6 2 8 708. 3 1 5 794. 9 153. 2 3 225. 3 

### 79. 5 7 713. 2 1 181. 6 

### 560. 5 1 196. 4 1 196. 4 1 6 802. 3 1 0 088. 0 

### 6 043. 9 281. 8 388. 6 7 795 2 3 148. 9 953. 6 753. 4 838. 4 

### 2 015. 3 85. 6 6 038. 8 6 038. 8 1 9 195. 9 

### 3 245. 5 12 296. 2 795. 0 1 062. 1 369. 7 941. 5 485. 9 6 085. 5 2 277. 4 1 145. 6 

# «£

. I S 211. 6 2 167. 1 2 730. 4 

### 250.7 462. 6 4 238. 2 963. 4 2 839. 8 1 307. 3 252. 1 

### 3 227. 5 616. 3 2 535. 1 76. 1 

### 6 566. 5 1 393. 6 1 715 3 3 358. 0 

### 99. 7 9 093. 9 3 304. 0 5 722. 7 

### 67. 2 8 456. 1 6 181. 8 1 977. 3 297. 0 

### 46 545. 3

2 6 758. 9 328. 1 404. 8 9 637.7 100.0 2 168. 9 1 708. 3 1 895. 9 2 227. 7 1 8 293. 3 

### 4 185.0 5 563. 1 1 033 2 6 482. 9 1 029. 2 2 7 027. 4 

### 14 930. 3 139.2 2 926. 3 78. 3 

### 7 127.4 1 064.7 761 2 1 017. 3 1 017. 3 

### 1 6 426. 4 .1 0 208. 1 5 424. 7 289. 4 504 2 7 482. 0 2 993 2 1 123. 1 815. 2 876. 0 1 580. 1 94. 3 

### 5546 2 5 546 2 1 8 874 2 3 076. 7 

### 1 2 165. 1 796.7 973. 8 295.7 976. 6 589. 6 6 05 7 5 

### 2 246. 6 1 14Z 1 

# A 0



# . 1 5 464X1 2 315. 4 

### 2 840. 3 215 2 399. 4 3 929. 8 955. 4 3 261. 6 1 179. 7 367 2 2 973. 0 621. 4 2 305. 6 

### 46. 1 6 814 5 1 255 2 1 904. 4 3 544. 5 110. 8 

### 8 295. 3 2 946. 3 5 314. 6 34. 4 8 018. 0 5 890. 1 1 899. 7 228. 3 4 9 410 2

2 9 167. 8 

### 269. 1 290. 2 9 897. 9 104. 0 

### 2 112.4 1 502.9 1 87 1



# . « 3 1 8 806. 0 3 823. 5 

### 5 606. 9 1 002. 1 

### 6 490 2 1 883. 4 

### 24 963.4 13 442.7 120. 4 

### 2 814. 6 66. 9 6 749. 9 875 2 913.7 1 085. 1 1 085. 1 1 6 438. 4 1 0 212. 6 5 304 2 302. 8 618. 9 7 614. 1 2 989. 4 1 188. 9 

### 895.0 789. 6 1 582. 7 168. 4 

### 5 439. 6 5 439. 6 1 8 421. 7 

### 2 949.3 1 1 779. 7 710. 7 

### 1 055. 4 266.7 886.7 773. 1 5 933. 1 2 103. 1 

### 1 111 2 

# 220 1 5 114. 7 2 303. 0 2 665. 6 203 2 414. 4 

### 3 646.7 919.3 3 266. 8 1 172. 0 523. 6 

### 2 900.0 625 5 2 167 5 107. 0 

### 6 783 5 1 240. 6 1 820. 3 

### 3 426.4 296. 1 7 735 2 2 918. 7 4 620. 1 196. 4 

### 7504 5 5 514 2 1 683. 8 

### 306. 8 46 664.3

26 943. 3 283. 0 335.0 9 647.7 105. 6 

### 2 016. 6 1 707. 1 1 993. 5 2 582. 0 

### 17 686.4 3 518. 5 5 593. 0 

### 903.7 5 865. 9 1 805. 3 2 3 592. 0 1 2 642. 3 106. 6 2 681. 1 

### 73. 9 6 020. 1 866 2 1 001. 7 1 201. 6 1 201. 6 1 5 863 5 1 0 076. 6 5 068. 4 

### 313. 9 402. 6 7 379. 9 2 676. 8 1 202. 3 

### 903.3 743 5 1 566. 0 88. 0 5 278. 0 5 278. 0 1 8 571 5 3 035. 5 1 1 732. 7 769. 6 998 2 238. 4 886. 6 911. 0 5 705 5 1 986. - 1 119 5

1 5 195. 4 2 371. 9 

### 2 694.4 202. 0 409. 4 3 671. 6 922.3 3 319. 7 1 228. 0 376 2 

### 2 785.7 592.4 2 124. 3 

### 69. 0 6 531 2 1 206. 9 1 754. 3 3 339. 7 230. 1 7 408. 0 

### 2 864. 0 4 411 2 132. 8 7 219. 7 

### 5 334. 8 1 662. 6 222.5 4



### 5 2 3 3 9 1 1 2 7 3 3 3 9 1 9 

### 5 5

3 2 1 5 1 0 7 1 1

7 1 2 1 9 2 5 5 5 3 8 3 6 1 5 1 9 4 1 5 

# i

3 2 6 5 4 7 4 5 7 1 8 4 1 5 1 2
1 0 3 7 5 3 2 

### 3 5 3 9 6 3 1 1 2 1 0


# ANNUA LSURVE YO F MANUFACTURE S VALU E O F PRODUCTSHIPMENTS 2- 7 

# 9A-

### P.2 3



# Table 1

. Valu e ofShipment s fo rProduct Classes : 1992 t o 1996-Con

. [Fo rmeanin g o

fabbreviation s an d symbol s an d explanatio n o fterms , see introductor

ytext ]

Industr y an d produ d das s code Descriptio n Valu e o fprodu d shipment

s (millio n dollars

)
1995 1993 1992 Standor d orror o t C3timoto' (percent ) fo rcolumn

—



### 2 0 2041
- 2041 1 2041 2 2041 3 2041 5
2041 6 2041 0 2043 - 2043 1 2043 2 2043 0 2044 - 2044 0 2045 - 2045 0
2046 - 2046 1 2046 2 2046 3 2046 4 2046 0 2047 - 2047 3 2047 4 2047 0 2048 - 2048 1 2048 2 2048 3 2048 4 2048 5 2048 6 2048 7 2046 8 2048 9 2048 A 2048 0 2051 - 2051 1 2051 2 2051 3 2051 4 2051 5 2051 6 2051 7 2051 0 2052 - 2052 1 2052 2 2052 0 2053 - 2053 0 2061 - 2061 0 2062 - 2062 0 2063 - 2063 0 2064 - 2064 2 2064 3 2064 8 2064 9 2064 0 2066 - 2066 1 2066 2 2066 9 2066 0 2068 - 2068 0 2074 - 2074 1 2074 2 2074 3 2074 4 2074 0 2075 - 2075 1 2075 2 2075 0 

### FOO D AN D KINDRE D PRODUCTS-Con

.

Flou ran d othe rgrai n mil l product s Whea t flour , excep

t flou rmixes4 Whea t mil l product

s othe rtha n flou r Co m mi n product

s Flou rmixe

s an d refrigerated an d firozen doughs an d batter s (see als o code 20450) 2 Othe rgrai n mil l products4 Flou ran d othe rgrai n mil l products , n.s.k

. Cerea l breakfas t food s Readyto serv

e cerea l breakfas

t foods , excep

t infant cereal s . Othe rcerea l breakfas

t foods Cerea l breakfas

t foods , n.s.k

. Rice millin g Milled rice an d byproduct s Prepare d flou rmixe s an d dough s Flou rmixe

s an d refrigerated an d froze n doughs an d batter s (see als o code 20415) * Wet co m millin g Co m sweetener

s Manufacture

d starc h Comdl 4 Wet process co m byproduct s Wet co m mining , n.s.k

. Do g an d cat foo d Dog food Ca t food Do g an d ca

t food, n.s.k

. Prepare d feeds , n.e. c Chicke n an d turke

yfeed , supplements , concentrates , an d premixe s Dair ycattl e feed , complet

e Dair ycattl e fee d supplements , concentrates , an d premixe s Swin e feed , complet

e Swin e fee d supplements , concentrates , an d premixe s Bee fcattl e feed , complet

e Bee fcattl e fee d supplements , concentrates , an d premixe s Othe rpoultr

yan d livestoc k

fee d Othe rprepared anima l feeds , includin g feeding material s an d adjunct s . Specialt yfeed s Prepared feeds , n.e.c. . n.s.k

. Bread , cake , an d relate d product s Bread : white , wheat , an d ry e (includin g frozen )

. Rolls , breadtyp e Swee t yeas t good s Sof t cake s Pies (frui t cream , an d custard ) Pastrie s Doughnuts , cake-type , excep t froze n Bread , cake , an d related products , n.s.k

. Cookie s an d cracker s Crackers , pretzels , biscuits , an d related product s Cookies , wafers , an d ice crea m cone s an d cup

s exoep t froze n Cookie s an d crackers , nj.k

. Froze n baker

yproduct s Froze n baker

yproduct s Ra wcan e suga r Sugarcan e mil l product

s an d byproducts

. Can * suga rrefinin g Refinedc a can e suga ran d byproducts

. Bee t suga r.......................................................... . Refined bee

t suga ran d byproduct

s Cand yan d othe rconfectioneryproducts , an d chawin g gu m (formerl y product cod * 2067 ) Chocolat e en d chocolate*ype confectioner yproduct s mad e fro m purchased chocolat e (se e also code 20662) " Norahocolate-type confectioner yproducts 1 Chewin g gu m an d chewin g gu m base5 Othe rccnfedionerytyp e product s Candyan d othe rconfectioner yproducts , n.s.k

. Chocolate an d coco a product s Chocolat e coatings3 Chocolat e an d chocolateiype confectioner yproduct s mad e fro m cocoa bean s groun d I n sam e establishment (see als o code 20642)' » Othe rchocolat

e an d coco

a products 1 -. Chocolat e an d coco

a products

. n*k

. Nut s an d seeds

. Nut s an d seed s (salted , roasted , cooked , o rblanched) Cottonsee d oi l mill s Cottonsee

d oU

. crude Cottonsee

d oil , onoerofined 

### Cottoninter s Cottonsee

d cak e an d mea l an d othe rbyproduct s Cottonsee

d oi l mills , n.s.k

. Soybea n o

O mill s Soybea n oi l * Soybea n cake , meal , an d othe rbyproduct s . Soybea n oi l mills , n.s.k

. 7 382. 7 4 806. 1 843 2 

### 986.5 371. 7 187. 8 187. 4 7 163 5 

### 6 300. 8 839. 9 22. 9 2 180 5 2 180. 8 

### 4 666. 6 4 666. 6 7 716 5 3 616. 7 1 529 2 720. 3 1 831. 7 18. 6 7 195 5 4 709. 1 2 386. 1 100. 4 1 7 105. 0 7 840. 3 1 811. 9 752. 3 

### 810 2 1 011. 6 

### 646. 6 773 2 928. 0 623 5 714. 5 1 192 5 1 6 970. 0 7 347. 3 4 658. 1 734. 5 

### 1 963 2 447. 4 222. 0 663 2 934.3 9 212. 4 

### 4 228. 5 4 846.4 135. 4 2 681 5 2 681. 3 1 634. 0 1 634. 0 

### 2 546.0 2 546. 0 2798 5 2798 5

1 2 833. 1 6 813. 0 

### 4 196.3 1 451. 1 159. 6 213 2 

### 3 327 5 975. 9 1 200. 3 1 082. 8 68. 0 2 514. 0 2 514. 0 994. 1 101. 7 171. 3 12S. 9 562. 0 33. 1 1 1 798. 4 

### 3 235.7 8 486. 9 75. 8 

### 7 250.7

4 720.7 692.4 1 049. 0 362. 3 259. 1 167. 4 

### 9 669. 9 8 841. 8 606. 6 21. 5 1 830. 1 1 830. 1 

### 4 793.0 4 793.0 7 524. 8 3 666.5 1 398. 3 942. 5 1 498. 5 19. 0 

### 6 503 5 4 378. 5 2 045. 8 78. 9 1 5 105. 4 6 178 5 1 601 2 

### 732. 9 669. 9 1 131. 8 908. 8 741. 1 721. 4 572. 6 666. 6 1 180. 6 

### 1 6 279 5 6 766.0 4 577.3 764. 5 1 686 2 442. 7 206. 8 598. 9 1 037. 4 8 937. 7 4 011. 5 4 790. 8 135. 4 2 630. 1 2 630. 1 1 571 2 1 571 2 2 441 5 2 441. 3 2 716 5 2 716. 9

1 1 508. 3 5 858. 4 3 887. 0 1 387. 8 146. 1 

### 249. 0 3 217. 4 926. 7 1 275. 1 946. 8 

### 68. 8 2 859. 8 2 859. 8 909. 3 117. 6 183. 2 

### 96. 9 496. 2 15. 3 1 0 818 5 3 414. 5 7 344. 4 60. 0 7 181. 4

4 706. 8 687. 3 921. 8 425. 0 295. 0 145. 5 

### 9 236. 6 8 388. 1 818. 8 29. 6 1 838. 4 1 838. 4 

### 4 345. 9 4 345. 9 7 017. 1 3 220. 1 1 342. 0 

### 925. 3 1 510. 9 18. 8 

### 6 275 5 4 134. 1 2 012. 7 128. 5 1 3 744. 7 5 333 2 1 516. 5 702. 7 592. 4 

### 1 125.5 721. 4 675.7 500 2 603. 6 766.7 1 206. 8 I S 784. 6 

### 6 306. 1 4 499 2 772. 4 1 897. 0 380. 1 184. 8 611. 0 1 134. 1 

### 8 765 5 3 850. 1 4 778. 7 136 5 2 227. 4 2 227. 4 1 627 2 1 527 2 2 450. 4 2 450. 4 2 518. 7 2 518. 7

1 0 819 5 

### 5 384. 9 3 676. 7 1 375. 4 63. 1 299. 8 3 311. 4 833. 4



### 2 853 5 2 653. 5 816. 6 119. 7 167. 3 

### 50. 7 452. 9 25. 9 1 0 617. 4 3 181. 4 7 308. 4 127. 6 

### 6 694 2

4 409. 0 587. 4 836. 1 

### 368. 5 257. 5 235. 8 8 392. 3 7 575. 6 776.7 40. 0 1 858. 5 1 858. 5

4 370. 1 6 168 5 2 791. 5 1 309. 9 

### 709. 6 1 314. 5 43. 1 

### 6 533.0 4 256. 8 2 065 5 210. 7 1 3 741. 6 

### 4 936. 3 1 454. 7 644. 6 521. 4 1 085. 4 657 5 648. 6 473. 8 605. 4 766 2 1 947. 8 1 5 170 5 

### 6 077. 9 4 176. 5 824. 4 1 895. 6 407. 0 189. 4 555. 8 1 043. 6 8 153. 5 

### 3 460. 3 4 539. 5 153. 7 

### 2033 5 2 033. 3 1 489. 0 1 489. 0 

### 2 762. 0 2 762. 0 2 302. 0 2 302. 0

1 0 S26 5 5 278. 8 3 467. 9 1 227. 7 70. 7 481. 7 3 154 5 632. 3 1 517 5 603. 0 102 2 2 819 5 2 819. 8 

### 745 2 84. 6 192 2 47. 3 401. 5 16. 8 9 774. 8 2 768. 7 

### 6 927 2 78. 9 6 194. 8

4 192. 4 494. 4 775. 7 

### 345. 9 173.4 213. 0 7 733. 6 7 207. 8 495. 6 30. 2 1 617. 9 1 617. 9

3 898. 4 6 418 5 2 611. 0 1 318. 1 801. 6 1 363. 5 21. 4 6 316 2 3 899. 8 2 271. 1 145. 3 1 3 231. 7 4 890. 3 1 454. 7 678. 5 541. 9 1 181. 4 524 2 623. 0 511. 9 469. 6 747. 4 1 628. 9 1 4 572 2 5 983. 9 4 037. 0 840. 4 1 888 2 415 2 144. 9 498. 4 764 2 

### 7 469 5 3 208. 9 4 168. 9 111. 7 1 864. 0 1 664. 0 1 433 2 1 433 2 2 664. 1 2 864. 1 2 189. 7 2 189. 7
1 0 067 5 5 167. 3 3 370. 1 1 106. 3 84. 4 339. 8 

### 3 090 5 589. 5 1 495. 6 643 2 62 5 2 671. 1 2 671. 1 729. 0 102. 1 183. 6 

### 54. 7 373. 6 14. 6 

### 8 926. 4 2 454. 6 6 424. 5 47. 3 3

4 3 3 7 1 2 1 1 1 1 1 3 1 3 1 3

1 1 1 1 2 1 2 3 2 1 7 3 3 5 8 1 6 6 6 2 3 2 2 1 2 1 5

1 1 2 3 2 3 9 3 4 2 4 2 1 0 

### 5 5

2 1 2 1 1 1 1 1

2 3 1 6 1 6 

### 2 1 2 3 2 3

1 3 2 1 5 1 2 2 3 2 8 1 1 1 1 1 See footnotes at en d o

ftable

. 

# 2- 8 VALU E O F PRODUC TSHIPMENTS ANNUA L SURVEYO F MANUFACTURE S 

# 2 3

# Tabl

e 1

. Valu e o

fShipment s fo rProduct Classes : 1992 t o 1996-Con

. [Fo rmeanin g o

fabbreviation s an d symbol s an d explanatio n o fterms , see introdudor

ytext ]

Industr y an d produ d das s code Descriptio n Valu e o fprodu d shipment

s (millio n dollars

)
1994 

### 199

3 199

2 Standard erro r o festimate 1 (percent ) fo rcolumn

—

2 0

2076 - 2076 1 2076 2 2076 3 2076 0

2077 - 2077 1 2077 2 2077 3 2077 0
2079 - 2079 1 2079 2 2079 0
2082 - 2082 1 2082 2 2082 3 2082 4 2082 0

2083 - 2083 0
2084 - 2084 0
2085 - 2085 1 2085 3 2085 0
2086 - 2086 3 2086 4 2066 5 2066 6 2066 0

2087 - 2087 1 2087 2 2087 3 2087 4 2087 0
2091 - 2091 0

2092 - 2092 2 2092 3 2092 5 2092 6 2092 0
2095 - 2095 1 2095 2 2095 0
2096 - 2096 1 2096 2 2096 3 2096 0
2097 - 2097 0
2098 - 2098 0

2099 - 2099 1 2099 3 2099 4

2099A 2099 B 2099 D 2099 E 2099 F 2099 G 2099 0 FOO D AN D KINDRE D PRODUCTS-Con

.

Vegetabl e oi l mills , n.e. c Unsee d oi l Vegetabl e oils , n.e. c Othe rvegetabl e d l mil l products , n.e. c . Vegetabl e d l mills , n.e.c. , n.s. k
Anima l an d marin e fat s an d oil s Greas e an d inedibl e tallo w Fee d an d fertilize rbyproduct s Anima l an d marine oi l mil l products...

. Anima l an d marine fats an d oils , n.s.k.

. Edibl e fat s an d oils , n.e. c Shortenin g an d cookin g oil s Margarin e Edibl e fat s an d oils , n.e.c . n.s.k.

. Mal t beverage s Canned bee ran d al e cas e goods Bottled bee ran d al e cas e goods Bee ran d al e i n band s an d keg s Al l othe rmalt beverages an d brewin g product s . Mal t beverages , n.s.k*

. Mal t Mal t an d malt byproduct s . Wines , brandy , an d brand yspirit s . Wines , brandy, an d brand yspirits.

. Distille d an d blende d liquor * Distilled liquor, excep

t brand y Bottle d liquor, excep

t brand y Distilled an d blende

d liquors , n._k.

. Bottle d an d canne d sof t drink s Bottle d carbonate

d sof t drink s Canne d carbonate

d sof t drink s Sof t drin k flavoring syru p sol d i n bul k

. Noncarbonate

d sof t drink s Bottle d an d canne

d sof t drinks , n.s.k.

. Flavorin g extracts an d syrup* , iu*.c

. Flavorin g extracts , emulsions , an d othe rliqui d flavors

. . Liqui d beverage bases no t for us e b ysof t drin k bottlers

. Liqui d beverage bases fo rus e b vsof t drin k bottler s Othe rflavorin g agent

s (excep t chocolat

e syrups ) Flavorin g extract

s an d synjps , n.e. c n.s.k

. Canne d an d cure d fis h an d seafood * Canned an d cure

d fis h an d otherseafoods , includin g sou p (excep t froze n seafood s an d soup

) Fres h o rfroze n prepare d fi» h an d seafood s Prepared fresh fish an d othe rfres h seafood 4 Froze n fish 4 Froze n shellfish 4 Othe rfroze n seafoods 4 , Fres h o rfroze n prepared fis h an d othe rseafood , rtsJ e . Roaste d coffee Roasted coffe

e Concentrated coffe

e . . Roasted coffee , rts.k.

. Potat o chip s an d simila rproduct * Potat o chip s an d sticks , plai n an d flavored

. Co m chip

s an d related product

s Othe rchips , sticks , et c Potat o chip s an d similarproducts , rutk...

. Manufacture d ice . . Manufacture

d ic e . Macaron i an d spaghett i Macaroni , spaghetti , an d eg g noodf o product s excep t canned an d frozen , no t packaged wit h othe ringredient s Foo d preparation* , n.*.c

. Dessert s (ready-tewnU)

. Sweetenin g syrup

s an d n Bakin g powderan d yeas t Vinega ran d dde r Perishabl e prepare

d foods sol d I n bul k

o rpackages , no

t froze n o rcanned Macaron i an d mod e producis package d wit h othe rIngnxtents , no t canned o r froze n Dr ymixpreparations , excep t macaron i an d mode s Te a i n consumerpadtages Spices

. Peanu t butter Othe rfood preparations , n.e.c . . , Foo d preparations , n.e.c , n.s.k

. . 873. 7 102. 5 487. 8 

### 262. 6 20. 8
3 602. 4 1 313. 8 1 961. 2 241. 9 85. 4
5 831. 4 4 517 2 1 246. 5 

### 67.7
1 8 195. 6 9 864. 7 

### 6 080 2 1 069. 3 681. 6 499. 7
830. 3 

### 630.3 5 410. 6 5 410. 6
3 187. 5 430 2 2 733. 9 23. 4 

### 29 618. 1 9 664. 8 1 2 271. 8 1 224. 4 

### 5 432.5 824.7
8 243 5 810. 4 243. 7 3 359. 4 3 499. 8 330. 5
1 037. 0 1 037. 0 6 171. 4 1 438. 1 2 259. 1 1 480. 1 576. 9 417 2 

### S992 5 5 078 2 7S9. 0 155. 7 

### 9 203 5 4 185. 5 3 855. 0 1 023. 7 139. 7 378 5 378. 8
1 369. 0 

### 1 369. 0
1 5 378. 1 733. 7 545. 8 390 5 187. 5 2 740. 7 1 032. 5 2 652. 9 1 106 5 1 387. 6 944. 8 1 693. 8 1 962. 0 

### 904.5

68.7 568. 8 261. 0 6.0
3 198 2 

### 1 244.5 1 699.2 190. 3 

### 64. 1
5 709 5 4 434. 4 1 215. 0 60. 0
1 7 108 2 

### 9 631. 3 5 475. 5 1 014 2 

### 681. 5 305.7

696. 0 4 674. 9 4 674. 9 3 371. 6 529. 8 2 820 2 

### 21. 6
2 8 366. 1 9 409. 1 1 1 702. 9 1 190. 8 5 120. 5 942. 8
7 823. 3 733. 2 272. 9 3 331. 0 3 150. 0 336. 2
1 068. 0 1 068. 0 

### 6 273. 6 1 324. 4 2 281. 3 1 531. 6 621. 5 514. 6 

### 6 024. 6 5 100. 9 787. 6 135. 8 

### 8 606 5 4 059 5 3 419. 3 972. 1 155. 9 402. 4 402. 4 1 454 2 1 454 2
1 5 001 5 673. 8 580. 3 390. 0 219. 6 2 635. 8 1 199. 0 2 549. 4 1 103. 9 1 241. 7 93Z 7 1 645. 1 1 830. 6 860. 1



### 63.7 506.2 261. 1 29 2
2 764. 0 1648. 3 1 460. 9 225. 2 49. 7
5 596. 9 4 159. 3 

### 1 409.7 27. 9
1 6 713. 9 9 592 2 5 199. 6 743 5 178. 4 

### 556 2 556 2 4 196 2 4 196.2 3 460. 1 557. 6 2 881. 7 20. 8 2 6 217 5 8 676 2 1 0 692. 3 1 185. 3 4 581. 5 882. 6 

### 7 462. 0 652. 3 192.5 3 296. 4 3 057. 4 263. 5
1 150 2 1 150 2 6 420. 4 1 114. 6 2 627. 7 1 533. 8 618. 6 525. 8 5 719. 7 4 618. 1 958. 3 143. 3 

### 6 162. 6 3 687. 8 3 173. 7 1 130. 5 170. 6 364. 6 384. 6 1 316. 1 1 316. 1
1 4 323. 1 642 2 521. 7 359. 7 204. 6 2 608. 8 1 160 5 2 435. 3 1 099. 7 1 128. 6 904. 9 1 651. 9 1 605. 3 908 2

79. 1 519. 1 248. 8 61 2
2 854 2 983. 9 1 483. 8 186. 7 199. 7
5 801. 7 4 252. 6 1 485. 3 63. 8
1 6 628. 6 1 0 009. 7 4 551. 5 1 072. 1 706. 7 288. 6 

### 574.6 574. 6 4 355.0 4 355.0
3 340. 1 640. 2 2 662. 4 37. 4 2 3 946. 1 7 463. 7 9 951. 5 1 137. 0 4 038. 3 1 355. 7
7 408. 3 554. 3 167. 7 3 146. 1 2 822. 1 718. 1
1 253. 4 1 253. 4 

### 6 206. 4 1 004. 0 2 571. 6 1 450. 3 590. 9 589. 7 

### 5 045 5 4 002. 0 841 2 202. 7
7 918 5 3 446. 8 3 136. 0 1 074. 1 

### 262. 0 377 5 377. 9
1 445. 4 1 445. 4
1 4 708 5 715. 9 616. 0 331. 1 235 2 2 430. 1 1 220. 7 2 070. 0 176. 0 163. 9 259 5 616 5 873. 3 

### 747.4

79. 5 465.2 188 2 14. 5 

### 2 843.5 975. 1 1 497.7 203.2 167.5 5 473.7 4 020 2 1 415. 2 38.3
1 7 301. 7 1 0 636 2 4 861. 8 

### 1 026. 3 652. 7 124.7
573. 3 573. 3
4 050. 0 4 050. 0 

### 3 255. 4 643. 6 2 584. 0 27. 9 2 3 776. 4 7 456. 6 9 941. 3 1 052.4 3 899.4 1 426. 7 

### 6 796 2 513. 9 158. 8 2 981. 5 2 697. 0 445. 0
1 139. 4 1 139. 4 

### 6 492 5 983. 6 2 732. 4 1 549. 8 

### 596. 9 629. 8 4 703 5 3 763. 4 819. 7 120. 3
7 527. 4 3263 2 3 010. 7 1 071. 0 182. 5 343 2 343 2 1 280. 0 1 280. 0
1 4 176. 5 708. 8 611. 6 316. 0 228. 5 

### 2 365 2 1 122. 3 2 198 5 1 106. 1 1 122 5 1 269. 7 1 661. 3 1 465. 7 4 1 7 1 6 

### 4 5 6 15 3 8
4 3 1 4 1 2 

### 1 1 1 1 6 8

2 2 8 1 8
3 5 4 4 3 1 8 

### 4 9 5 9 4 16

1 0 9 1 4
2 2 1 1 2 3 4 4 1 6 5 1 1 0 1 0
1 1
3 2 6 2 2 0 5 

### 4 7 3 14 6 6 5 Se e footnote

s at en d o

ftable

. 

# ANNUA LSURVE YO F MANUFACTURE S VALU E O F PRODUCTSHIPMENTS 2- 9

^

# Tabl

e 1

. Valu e ofShipment s fo rProduct Classes : 1992 t o 1996-Con

. [Formeanin g o

fabbreviation s an d symbol s an d explanatio n o fterms , see introductor

ytext ]

Industr y an d produ d das s code Descriptio n Valu e ofprodu d shipment s (millio n dollars

)
1994 199

3 Standar d erro r o festimoto ' (percent ) forcolumn

—

2 1

2111 - 2111 0 2121 - 2121 0 2131 - 2131 0 2141 - 2141 1 2141 2 2141 3 2141 0



## 2 2

2211 - 2211 B 2211 C 2211 D 2211 E 2211 F 2211 G

2211 0 2221 - 2221 B 2221 C 2221 D 2221 E 2221 F 2221 G 2221 H 2221 J 2221 K

2231 - 2231 1 2231 2 2231 6 2231 7 2231 9 2231 0 2241 - 2241 1 2241 4 2241 5 2241 0 2251 - 2251 4 2251 6 2251 8 2251 0 2252 - 2252 2 2252 5 2252 6 2252 0 2253 - 2253 4 2253 5 2253 6 2253 A 2253 B 2253 C 2253 D 2253 E 2253 0 

### 2254
- 2254 1 2254 4 22540 TOBACC O PRODUCT S

Cigarettes , includin g nontobacc o cigarettes

. Cigarettes , includin g nontobacc o cigarettes4

. Cigar s Cigars4 Chewin g an d smokin g tobacc o Chewin g an d smoking tobacco 4 Tobacc o stemmin g an d retryin g Unstemme

d lea ftobacc o redried befor

e packing 4 Tobacco , stemmed 4 Reconstitute

d tobacco

4 Tobacco stemmin g an d redrying , n.s.k

.

TEXTIL E MIL L PRODUCT S

Broadwove n fabric a mills , cotto n Rai n weav

e fabrics , excep

t pil e (gra ygoods ) Twil l weav

e fabrics , excep

t pil e (gra ygoods ) Al l othe rweaves , excep t pil e (gra ygoods ) Pil e fabrics (gra

ygoods ) Finished cotto n broadwove n fabric s (finished i n weavin g mills ) (se e als o code 22617) 3 Cotto n towel s an d washdoth s (mad e i n weavin g mills ) (see also code 23923) ' Fabricated cotto n textil e products , excep t towel s an d washdoth s (mad e i n weavin g mils ) Broadwove n fabrics mills , cotton , n*.k

. Broadwove n fabric * mill* , manmad e fibe ran d sil k 8 5 percent ormor

e filament rayo n and/o racetate fabrics , Includin g blends chieflyrayo n and/o racetate (gra ygoods ) 8 5 percent o rmor

e filament fabrics , excep t rayo n oracetate (gra

ygoods ) 8 5 percent o rmor

e spu n ya m plai n weav

e fabrics , excep

t woo l blends (gra

y goods ) 8 5 percent o rmo m spu n ya m twil l weave fabrics , excep t pile , exdudn g wo d blend s (gra

ygoods ) Othe r8 5 percent o rmor e spu n ya m fabrics , excep t pile , exdudin g wo d blend s (gra ygoods ) Combination s o

fspu n ya m an d filament fabrics , excep t woo l blends , eac h less tha n 85 % o

ftota l libe rcontent (gray ) Othe rmanmad e fibe rfabrics andsil Kfebrics (gra ygoods ) Finished manmade libe ran d s& k broadwove n fabric

s (finishe d i n weavin g mills

) (se e als o code 22628) ' Sieet s an d pillowcases , whollyorchieflymanmade fiber s an d sil k (mad e i n weavin g mils ) (see also code 23922)* ' - Fabricated manmade fiberan d sil k texS e products , excep

t sheet s an d pillowcase

s (mad e I n weavin g mills ) Broadwove n fabrics mills , manmad e fibe ran d silk, n.s.k

. Broadwove n fabric s mflls , woo l Finishe d woo l yams , tops , o rra wstock , no t combe d orspu n at th e sam e establishment Woo l broadwove n fabric s (gra ygoods ) Finished broadwoven woo l fabrics an d felts Receipt s for commission finishing o rspongin g o fwo d fabrics Fabricated textil e products , 3 6 percent o rmor e wo d (mad e I n weavin g mils)

. Broadwove n fabrics mills , wod

. n._k

. Narrowfabric * mil *

. Wove n narro

wfabrics (1 2 inche

s o rless i n width).

. Braided narro

wfabrics (1 2 Inche

s o rles s i n width )

. Covered rubberthread

........................ . Narro wfabrics mite , aa*

. Women' s hosiery , except sock s Women's an d misses' finished hosiery , fUHengt h an d knee-length

. Women' s an d misses' finishe d parit yhose , includin g tight

s Women' s hosier

yshippe d I n th e greta

e Women' s hosiery , excep t socks , n.s x Hosiery , nex . Men' s finishe

d seamless hosier

y(sizes 1 0 an d up)

. Al l othe rfinished hosier

y Seamless hosier

yshippe d I n th e greig e Hosiery , n.e.c. , n_. t Knt t outerwea rmDI * Men' s an d boys'sweaters3 Women's , misses' , an d juntas * sweaters ' Girls' , chldren's , an d Infants' sweaters3 Men' s an d boys'kni t shirt s (see also cod e 23213)> 3 Women's , misses' , an d Juntas' knit shirt s an d blouse

s (see also code 23313) 2 Girls' , chfldren's , an d Infants' knit shirt s an d blouse

s (se e also code 23613) 3 » . A D othe rknit outerwea rproducts 3 Contrac t an d commission receipt s for knittin g onl yo rknittin g an d finishing outerwea r Knt t outerwea rmis , n* k Knt t underwea rmills...

. Men's an d boys' kni

t underwea ran d nightwea r(see also code s 2322 1 an d 

### 23222?- Women' s en d children's knit underwea ran d nightwea r(see als o code s 2341 2 and23413)» 3 Kni t underwea rmils , ns.k

. 

### 2 8 246. 6 28 246.6 326.9 326.9 1 803 2 

### 1 603.2 3 179. 1 2 837. 8



### 6 561.8 900.5 1 542. 0 431. 1 339. 9 1 493. 4 809. 1 928. 3 137. 6 

### 9 549 2 819. 7 

### 2 607. 0

932. 8 313.7 2 086.4 (D )


### 8 6
. 1 426. 6 72. 0 423. 4 2. 1 

# , 1

1 416 5 941. 6 217. 6 194. 6 

### 62. 6 1 523. 0 172. 2 1 264. 6 78. 7 7. 5 3 148. 6 1 359 2 1 380. 5 317 2 91. 8 5052 5 184 2 303. 1 29. 7 2 827. 0 207 2 51. 6 588. 3 714. 8 146. 5 1 383 5 (O ) 406 2 (D ) 

### 2

6 967.4 26 967. 4 292. 6 292. 6 1 971. 0 1 971. 0 

### 2 973.0 (O ) 2 12.

.



### 6 639.7 876.7 1 646. 7 431. 6 354. 3 1 503. 5 779 2 869. 3 178. 3

822 2 2 486 2 1 792. 0 325. 7 457. 3 

### 989. 3 386. 6 2 017. 3 (D ) 

# & 1 463 5

432. 0 915. 1 (D : 17. 1 

### 1 455. 9 967. 0 227. 3 199. 7 61 5 1 579. 5 193. 3 1 287. 3 68. 5 10. 4 2 796. 6 1 281. 7 1 205 5 224. 4 85. 0 

### 4944 5 206. 8 354. 5 

### 36. 9 2 540. 6 211. 5 

### 57. 5 748. 0 628. 6 160. 3 1 480. 6 (D ) 483. 8 (0 ) 2 4 200. 1

2 4 200. 1 

### 262 2 262.2 1 851. 9 1 851. 9 2 901. 1 257 $ 

# i S

6 084. 1 

### 909.5 1 429. 5 517. 9 292. 8 1 420. 0 747. 5 

### 688.7 78.3

832. 9 2 493. 3 1 856. 3 

### 303.5 466. 3 934. 1 357.7 1 771. 5 (O )


### 6 7
. 

## e; 1 518. 3 64. 7 440. 0 971. 5 

# i

1 437. 0 

### 933. 5 222. 0 205. 3 76 2 1 717. 0 204. 0 1 392. 5 88. 7 31. 8 

### 2 756. 9 1 306. 5 1 114. 3 214. 4 121. 7 4 551. 1 237. 4 294. 9 45. 7 2 077 5 223 2 83. 8
535. 8 156 2

(O ) 

### 502. 4 (0 ) 2

2 705 5 22 705. 5 268.3 268.3 1 599 5 

### 1 599.8 3 155. 5


### 2 

# &

5 863.0 950.4 1 421. 6 571. 1 216. 4 1 364. 0 719. 8 

### 533. 1 86. 6 8 853 2 

### 668.4 2 425.3 2 007 5 349. 0 347. 0 960. 8 201. 3 1 377. 1 (D ) 

# ,l S
1 502. 1 71. 2 437. 4 950. 7 

# 8

1 298. 4 809. 7 199 2 205. 0 84. 5 1 656. 8 150. 0 1 364 2 

### 95. 4 47. 3 2 533. 6 1 065. 7 1 124. 0 199. 8 144. 1 

### 4 277. 6 162. 8 301. 6 

### 52. 6 1 993. 1 188. 6 80. 7 784. 6 531. 5 182. 0 1 613. 7 (0 ) 

### 623. 6 (0 ) 2 8 839. 4

2 8 839. 4 

### 264. 6 264. 6 1 507 5 1 507. 6 

### 3 748.5 3 067. 9

5 708. 3 941.4 1 381. 7 

### 535. 1 300. 9 1 253. 6 731. 6 

### 497. 6 66.4 8 500. 1 

### 639.7 2 222. 9 1 952. 7 301. 7 

### 359.4 1 009. 3 246 2 1 291. 0 (O )

63. 4 393. 3 887. 0

19. : 1 223. 0 820. 0 205. 6 152. 4 45. 1 1 856 5 338. 7 1 394 2 84. 6 

### 39. 3 2455 2 1 134. 7 1 004. 0 

### 229 5 67. 0 3 613. 6 172. 3 301. 6 25. 8 1 449 2 179 2 

### 64. 0 743. 1 411 2 167 2 1 140. 1 (0 ) 405 2 (D ) 2

2 

# °

. (X *

3 1 3 1 6 1 0 7 1 2 1 1

7 1 1 4 1 1

3 (X )

( 1

. 2 2 4 2

9 1 2 

### 6 1 7 26 6 1 2 6 1 (A) 3 3 6 1 0 1 6 3 1 7
. 

### 29 1 1 1 1 3 2 2 1 6 6 1 4 

### 5 (X ) 1 3 (X ) Se e footnotes at en d o

ftable

. 

# 2-1 0 VALU E O F PRODUCTSHIPMENTS ANNUA LSURVE YO F MANUFACTURE S 

# PS "

# Tabl e 1

. Valu e o fShipment s fo rProduc t Classes : 199 2 t o 1996-Con

. [Formeanin g o

fabbreviation s an d symbol s an d explanatio n o fterms , se

e introductor

ytext ]

Industr y an d produ d das s code Description Valu e o fproduc t shipment

s (millio n dollars

)
1996 1994 199 3 Standar d erro r o festimate ' (percent ) forcdumn—



### 2 2

2257
- 2257 1 2257 3 2257 9
2257 0 2256 - 2258 1 2258 4 2258 5 2258 9
2258 0 2259 - 2259 0 2261 - 2261 7
2261 9 2261 0 2262 - 2262 8 2262 9 2262 0 2269 - 2269 0 2273 - 2273 1 2273 2 2273 3 2273 0 2281 - 2281 1 2261 2 2281 3 2281 4 2281 5 2281 0 2282 - 2282 2 2282 3 2282 5 2282 9 2282 0 2284 - 2284 0 2295 - 2295 2 2295 3 2295 0 2296 - 2296 0 2297 - 2297 1 2297 2 2297 0 2298 - 2298 1 2298 2 2298 3

2299 1 2299 4 2299 5 2299 6 2299 0



## 2 3

2311 - 2311 5 2311 6 2311 7 2311 9 2311 0 2321 - 2321 3 2321 6 2321 9 2321 0 

### TEXTIL E MIL L PRODUC TS-Con

.

Weft kni t fabric s mill s Wef t (circular ) knit fabrics greig e goods , excep t hosier y Finishe d wef t (circular

) knit fabrics , excep

t hosier y Contra d an d commissio n receipts fo rknittin g onf yo rknittin g an d finishing wef t (circular ) kni t fabrics Wef t kni t fabric s mills , n.s.k

. War p kni t fabric s mill s an d lac e good s War p kni t fabric s greig e good s Finishe d warp kni

t fabrics Lac e an d rot good s Contra d an d commissio n receipts forknittin g onl yorknittin g an d finishin g o f war p kni t fabrics , o rfinishin g lac e War p knit fabrics mill s an d lace goods , n.s.k

. Knittin g mills , n.e. c Knit glove

s an d othe rknit product s (mad e i n knittin g mitts) 3 Finishin g plants , cotto n Finishe d cotto n broadwove n fabric s (m l finishe

d i n weavin g mils ) (see also code 22 1 IF) 2 Jo b o rcommission finishin g o fcotto n broadwoven fabric s Finishin g plants , cotton , n.s.k

. Finishin g plants , manmad e fibe ran d sil k Finishe d manmade fibe ran d sil k broadwoven fabrics (no t finished i n weavin g mills ) (se e als o cod e 2221J) 8 Jo b o rcommission finishin g o fmanmade fiberan d sil k broadwoven fabrics Finishin g plants , manmad e fiberan d silk , n.s.k

. Finishin g plants , n.e.c . Finishe d yam , ra wstock, an d narro

wfabric s (excep t kni t an d wod ) Carpet s an d rug s Wove n carpet

s an d nigs 3 Tufted carpet

s an d rugs 3 Carpet s an d rugs , n.e.c 3 Carpet s an d rugs , n.s.k

. Yar n spinnin g mills 4 Carded cotto n yam s Combe d cotto n yam s Rayo n and/o racetate spu n yam s Spu n noncellulosi c fibe ran d sil k yam s 

### Woo l yam s Ya m spinnin g mills , n.s.k

. Ya m throwin g an d windin g mill s Rewound , plied , etc. , yam s (m l spu n a t th e sam e estabGshment ) Thrown filament yams , excep t texture d Textured , crimped , o rbulked filament yams , indudin g stretch ya m (mad e fro m purchase d filament yam ) Commissio n throwing , plying , etc. , o fyam s Ya m throwin g an d windin g mills , n.s.kThrea d milt * Thread Coata d fabric* , not rubberize d Viny l coated fabrics, indudin g expande d vinyl coated Othe rcoated orlaminated fabrics an d coate d yarn s Coated fabrics, no

t rubberized

. n.s.k

. . " Tir e cor d an d tir e cor d fabric * Tir o cor d an d tir e cor d fabrics Nonwove n fabric * Nonwove n fabrics Fabricated nonwove n product s Nonwove n fabrics, osJ c Cordag e an d twin e Hard fibe rcordage an d twin e Sof t fibe rcordage an d twin e (excep t cotton) Cotto n cordage an d twin e Cordag e an d twine , n.»J t Textil e goods , i__ c Pressed , punched , o rneedfod felts, excep t hat s Recovere d fibers, processed mi l wast e an d related product

s Paddings an d upholster

yfiling , batting , an d waddin g (exdudm g foam rubber an d plastics

) Jut e goods an d scourin g an d combin g mi l product s Textil e goods , n.e. c n.s.k

.


### APPARE L AN D OTHE R TEXTIL E PRODUCTS

Men' s an d boys'suit * an d coat s Suits , Includin g uniform 3 Overcoats , topcoats , an d tailored ca ran d suburban coat s (includin g uniform an d woo l water-repellent) , excludin g raincoats 3 Tailored dress an d spor t coat s (includin g uniform) an d talored vests3 Receipt s for contra d an d commission work o n men's an d boys' suit s an d tailored coat

s an d Jacket

s Men' s an d boys'suits an d coats
. n^J t Men' s an d boys'shirts , excep t wor k shirt s Men' s an d boys' knit shirt* (includin g polo , sweat , tank-tops , T-thlrts for outerwear , etc ) (se e also code 2253A) 2 3 Men' * an d boys'wove n dress an d spor t shirt s (includin g uniform) 3 Receipt s for contra d an d commission work o n men's and boys' shirts , excep t work shirt s Men's an d boys' shirts , n.s.k5 065 5 1 257. 7 3 175. 3 552. 8 79. 7 2 514. 0 453. 4 1 687. 4 52. 6 260. 1 60. 3 309. 2 309. 2

670. 2 887. 4 75. 9

2 227. 6 1 207. 8 37. 5 956. 7 956. 7 1 0 805. 6 285. 9 9 787. 4 563. 3 169. 1 8 771. 0 4 080. 8 525. 3 239. 0 3 611. 5 249 2 65. 3 3 681. 8 312. 4 423. 9 2 749. 2 135. 9 60. 5 971. 5 971. 5 1 845 2 767 5 968. 4 109. 6 937. 8 937. 8 4 259. 4 3 151. 4 993. 1 114. 8 688. 9 142. 5 452 5 62. 0 31. 9 2 339. 1 544. 5 387. 6 746. 5 223. 4 437. 1

1 912. 9 825. 3 73. 9 703. 4 288. 3 22. 1 4 302. 7 3 037 2 865. 8 5 219 2

1 260. 4 3 284. 5 593. 1 61. 2 2 622. 1 490. 1 1 817. 8 52. 9 211. 4 50. 0 283. 4 283. 4 2 681 2 1 727 5 910. 5 42. 8 3 550. 1 2 293. 7 1 221. 7 34. 7 1 032. 1 1 032. 1 1 0 404. 8 332. 1 9 536. 9 414. 6 121 2 8 619 5 3 714. 5 591. 0 263. 5 3 725 2 268 2 56. 9 3 730. 4 275. 1 419. 7 2 873. 8 128. 9 33. 0 1 015. 1 1 015. 1 1 881 2 735. 3 1 003. 6 14Z 4 940 5 940. 8 4 192. 5 3 022 2 1 046 5 123. 4 696. 3 137. 1 460. 9 64. 1 34 2 2255 5 555. 8 365. 1 705. 9 225. 7 403. 3

2 019. 6 939. 4

. 79. 0 764. 9 223. 3 13. 1

3 244. 3 970. 6 319. 2 80. 5 549. 8

27. 6 5 496. 5

1 346. 2 3 453. 5 616. 2 60. 5 2 605 5 471. 8 1 795. 7 56. 7 223. 7 57. 7 239. 0 239. 0 2 960 2 1 910. 6 1 026. 3 23. 2 3 661. 1 2 277. 5 1 371. 0 12. 5 1 213 2 1 213. 2 1 0 141 2 320. 4 9 389. 3 346. 1 65. 4 8 195. 8 3 236. 3 587. 3 287. 6 3 777. 1 255. 5 52. 0 3 491. 6 237 2 416. 7 2 640. 7 162. 3 34. 6 910. 6 910. 6 1 747 5 719. 0 914. 8 114. 1 843 2 843 2 3 971. 6 3 013 5 885. 7 72. 7 662 5 116. 1 418. 4 75. 1 5 3 5 2 198. 4 626 5 309. 7 651 5 197. 4 413. 0

2 416. 7 1 087 2 75 2 850. 1 386 5 17 5 4 709. 1 3 120. 6 1 011. 4 529 5 46. 9 5 006. 9

1 234. 7 3 001. 7 574. 9 195. 5 2 470. 6 401. 3 1 715. 5 52. 8 187. 9 113. 1 221. 9 221. 9 3 108. 5 2 150. 0 928. 7 29. 8 3 196. 5 1 910. 5 1 255. 8 30. 2 1 171. 1 1 171. 1 9 952. 6 260. 9 9 155 2 356. 9 159. 7 7 695. 5 2 866. 9 585. 6 269. 1 3 665. 8 264. 4 43. 8 3 282 5 211. 4 371. 4 2 550. 9 115. 5 33. 6 887 2 687 2 1 652 5 718. 7 793 5 139. 7 782. 1 782. 1 3 576 5 2 726. 4 789. 3 61 2 613 2 114. 0 355 5 79. 0 64. 3 1 999. 6 662 5 300 5 564 5 193. 8 278. 1

2 256. 5 1 041. 0 64. 7 829. 6 292. 3 29. 0 4 631. 6 2 909 5 1 119. 7 555. 8 46. 7 4 971 5

1 284. 1 2 954. 7 622. 5 110. 6 2 463. 9 454. 3 1 651. 9 55. 7 256. 0 45. 9 239. 9 239. 9 2 739 5 1 867. 0 866 5 5. 8 3 255. 6 1 967. 1 1 282. 1 6. 4 1 075 5 1 075. 5 9 516. 4 285. 1 8 820. 7 334. 0 78. 5 7 755. 6 2 761. 3 627. 4 247. 7 3 824 2 258. 1 36. 9 3 022. 4 173. 9 332. 7 2 376. 8 129 5 9 2 832. 6 832. 6 1 480 5 614. 1 776. 7 90. 1 928. 0 928. 0 3 459. 1 2 510. 3 901 2 4 7 5 625. 4 124. 7 362. 6 73. 9 6 4 2 1 854. 7 645. 0 293. 0 S35. 0 176 5 205. 4

2 387. 4 1 166. 6 53. 4 861 2 283. 8 22. 4 5 318. 1 3 555. 4 1 112. 2 605. 7 44. 8 3 0

3

1 0 1 7

4 1 4

3 4 2 4 6 3 6 3 1 1 1

3 7 1 0 8 2 1 1 1 5 3 1 0

3 0 2 6 4 4 1 0 1 6 1 3 2 1 1 5 5 1 0 1 4 8 1 1 9 4 6 7 4 7 2 2 8 1 3 1 8

1 1 1 7 1 1 8 2 8 2 8

3 1 2 1 6 1 See footnote

s a t en d o

ftable

. 

# ANNUA LSURVE YO F MANUFACTURE S VALU E O F PRODUCTSHIPMENTS 2-1 1 

# 2-(0