P.1 

OAR Box 1669 

Prepped by Charmelie Mathews 

Document Number: 

Docket Number: 

A-98-13 

Printed 9/23/2008 9:36:49 AM Sheet 104 of 110 
i ' 

AJ -?r- '3 

• 3Z-X-I~2-

P.2 

1996 Annual Survey of Manufactures 

M96(AS)-1 

Statistics for Industry 

Groups and Industries 

(Including Capital Expenditures, Inventories, and 

Supplemental Labor, Fuel, and Electric Energy Costs) 

\¥M r 6 200I 

EPA AIR DOCKET 

U.S. Department of Commerce 

Economics and Statistics Administration 

BUREAU OF THE CENSUS 
P.3 

Acknowledgments 

Judy Dodds, Assistant Chief for Census and Related Programs, was responsible for the overall 

management of the Annual Survey of Manufactures (ASM). She guided the planning and 

implementation of the project and coordinated activities with other divisions. The review and 

analysis of the data were performed by Manufacturing and Construction Division analysts under the 

direction of Kenneth I. Hanson, Chief of the Manufactured Durables Branch, and Michael J. 

Zampogna, Chief of the Manufactured Nondurables Branch, assisted by Michael Brown, 

Raphael S. Corrado, Al Foreman, Mendel Gayle, Robert Miller, Robert Reinard, Nathaniel 

Shelton, Milbren Thomas, Brian Appert, Zoraida Arledge, Stanis Batton, Carol Beasley, Chris 

Blackburn, Larry Blumberg, Vera Harris-Bourne, Brenda Campbell, Kimberly Credito, Renee 

Coley, Suzanne Conard, Mary Ellickson, Merry Glascoe, Indrek Grabbi, Kaylene Hanks, 

Karen Harshbarger, Nancy Higgins, Walter R. Hunter Jr., Jim Jamski, Andrew Kraynak, 

Ronanne McConkey, Keith McKenzie, Philippe Morris, Joanna T.Q. Nguyen, Betty Panned, 

Joyce Pomeroy, Stephen Pope, Venita Powell, Arminta Quash, Annette Ralston, Cindi 

Ramsey, John C. Savage, Wanda Sledd, Susan Sundermann, Dora Thomas, Ann Truffa, 

Richard Wiesler, Kristin Williams, Lissene Witt, and Mike Yamaner. 

The coordination activities, such as developing specifications and procedures and liaison 

with the Data Preparation Division, were conducted by Sheila Proudfoot, Robert A. Rosati, 

Dennis Scheurich, Richard Sterner, Richard Williamson, and Brandy Yarbrough under the 

direction of Dennis L. Shoemaker, Chief, Post Collection Census Branch. 

Under the direction of A. William Visnansky, Chief, Special Reports Branch, Baruti A. Taylor 

and Julius Smith assisted by Veronica White performed the overall coordination of the publication 

process. 

The design and implementation of the sample, as well as the coverage operations designed to 

maintain the quality of the sample were provided by the Research and Methodology Staff. This staff 

also was responsible for the development of the estimation procedures used by the survey 

including estimates of reliability shown in the published tables. Key members of the Research and 

Methodology Staff included Stacey Cole, Douglas Bond, Cathy Ritenour, and Robert Struble. 

This staff worked under the direction of Brian V. Greenberg, Assistant Chief for Research and 

Methodology. 

The computer processing systems were developed and coordinated under the direction of 

Martin S. Harahush, Assistant Chief Quinquennial Programs, Economic Statistical Methods and 

Programming Division. Roy Smith, Hugh Watters, Venancio Aguirre, George Boerckel, Robert 

Conard, Phuong-Mai Do, Florence Gapsis, John Goshorn, Lori Guido, Virginia Hicks, Traci 

Least, Hieu Nguyen, and Charles Stout developed the computer editing and tabulation programs 

under the direction of Gary T. Sheridan, Chief, Manufacturing and Construction Programming 

Branch. 

Mailout preparation arid receipt operations, clerical and analytical review activities, data keying, 

and geocoding review were performed in the Data Preparation Division under the direction of 

Judith N. Petty, Chief. 

The staff of Administrative and Customer Services Division, Walter C. Odom, Chief, performed 

publication planning, design, composition, editorial review, and printing planning and procurement 

Cynthia G. Brooks provided publication coordination and editing. 

Special acknowledgment is due to the many businesses whose cooperation was essential to the 

success of the survey. 

9-
P.4 

/4SI\I\ 

1996 Annual Survey of Manufactures 

M96(AS)-1 

Statistics for Industry 

Groups and Industries 

(Including Capital Expenditures, Inventories, and 

Supplemental Labor, Fuel, and Electric Energy Costs) 

Issued February 1998 

TOF C 

*»!-ro5_ of 

U.S. Department of Commerce 

William M. Daley, Secretary 

Robert L. Mallett, Deputy Secretary 

Economics and Statistics Administration 

Lee Price, Acting Under Secretary 

for Economic Affairs 

BUREAU OF THE CENSUS 

James F. Holmes, Acting Director 
P.5 

W W W W 

_ _ _ 

ECONOMICS 

AND STATISTICS 

ADMINISTRATION 

Economics and Statistics 

Administration 

Lee Price, Acting Under Secretary 

for Economic Affairs 

BUREAU OF THE CENSUS 

James F. Holmes, Acting Director 

Bradford R. Huther, Deputy Director 

Paula J. Schneider, Principal Associate 

Director for Programs 

Frederick T. Knickerbocker, Associate 

Director for Economic Programs 

Thomas L. Mesenbourg, Assistant Director 

for Economic Programs 

ECONOMIC PLANNING AND COORDINATION 

DIVISION 

John P. Govoni, Chief 

MANUFACTURING AND CONSTRUCTION DIVISION 

David W. Cartwright, Chief 

For sale by Superintendent of Documents, U.S. Government Printing Office, Washington, DC 20402. 

H 
P.6 1 

Contents 

Industry Statistics 

Page numbers listed here omit the prefix that 

appears as part of the number of each page] 

Page 

Introduction 1 

TABLES 

1a. Statistics for All Manufacturing Establishments Including Auxiliaries: 1996 and 

Earlier Years 7 

1 b. Employment Statistics for Operating Manufacturing Establishments and Auxiliaries 

by Major Group: 1996 and Earlier Years 8 

2. Statistics for Industry Groups and Industries: 1996 and 1995 10 

3. Employment and Labor Costs for Operating Manufacturing Establishments by 

Industry Group and Industry: 1996 and 1995 28 

4. Purchased Fuels and Electric Energy Used for Heat and Power by Industry Group 

and Industry: 1996 and 1995 36 

5. Capital Expenditures for Plant and Equipment for Industry Groups and Industries: 

1996 and 1995 45 

6. Value of Manufacturers' Inventories by Stage of Fabrication for Industry Groups and 

Industries: Beginning and End of 1996 56 

APPENDIX 

Explanation of Terms A-1 

ANNUAL SURVEY OF MANUFACTURES CONTENTS III 
Introduction 

P.7 

GENERAL 

This report presents manufacturing establishments statistics for industry groups and industries from the 1996 

Annual Survey of Manufactures (ASM). 

The estimates for 1996 are based on reports from a 

representative sample of approximately 58,000 manufacturing establishments and administrative-record information for approximately 170,000 establishments. These estimates represent the portion of the manufacturing population 

accounted for by establishments with paid employees. 

Nonemployers are defined as out-of-scope of the ASM. 

The tables provide 1996 and 1995 estimates for employment, plant hours, payrolls, value added by manufacture, 

capital expenditures, cost of materials, inventories, value of 

industry shipments, and fuels and electric energy consumed for most manufacturing industries. Establishments 

are classified in manufacturing industries by industry definitions described in the 1987 edition of the Standard 

Industrial Classification (SIC) Manual.1 

SCOPE AND USE OF ANNUAL SURVEY 

The 1996 ASM is the 39th survey of this type conducted 

by the Bureau of the Census to provide the key measures 

of manufacturing activity for industry groups and important 

industries for intercensal years. These key measures, as 

well as other detailed statistics for manufacturing, were 

collected in the censuses of manufactures; the three most 

recent censuses covered the years 1992,1987, and 1982. 

An annual survey was conducted for each of the years 

between censuses starting with 1949. 

During intercensal periods, these annual surveys provide a continuous series of basic statistics for industries 

and furnish benchmarks for current business indicators 

and for measures of industrial production and productivity. 

The survey also provides significant data in connection 

with planning for industrial mobilization. 

DESCRIPTION OF THE SURVEY SAMPLE 

In 1992, there were approximately 370,000 individual 

manufacturing establishments. For sample efficiency and 

1

 Standard Industrial Classification Manual: 1987. For sale by Superintendent of Documents, U.S. Government Printing Office, Washington, 

DC 20402. Stock No. 041-001-00314-2. 

ANNUAL SURVEY OF MANUFACTURES 

cost considerations, the 1992 manufacturing population 

was partitioned into two components for developing estimates within the ASM; a mail stratum and a nonmail 

stratum. 

Mail stratum. The mail stratum of the survey is comprised of larger single-location manufacturing companies 

and all manufacturing establishments of multiunit companies (companies that operate at more than one physical 

location). Approximately 230,000 of the 370,000 establishments in the 1992 census were assigned to the mail 

stratum. 

On an annual basis, the mail stratum is supplemented 

with larger, newly active single-location companies identified from a list provided by the Internal Revenue Service 

(IRS) and new manufacturing locations of multiunit companies identified from the Census Bureau's Company Organization Survey (COS). 

For the 1994 survey, a new sample of approximately 

58,000 individual establishments was selected from the 

mail stratum assembled from the 1992 census. Supplemental samples representing both .993 and 1994 births 

(newly active establishments that were not included in the 

1992 census) were also selected. Establishments selected 

for the sample will be mailed an ASM survey questionnaire 

for each year through 1998. 

The 1994-98 ASM sample design is similar to the one 

used since 1984. Companies in the 1992 Census of 

Manufactures with manufacturing shipments of at least 

$500 million were defined as company certainties. For 

these large companies, each manufacturing establishment 

is included in the mail sample. For the 1994-98 sample, 

there are approximately 650 certainty companies collectively accounting for over 18,000 establishments. 

For the remaining portion of the mail component of the 

survey, the establishment was defined as the sample unit. 

All establishments with 250 employees or more were 

defined as employment certainties. In addition, all establishments producing products in SIC 3571 (Electronic 

Computers) were defined as certainties. Across these 

three arbitrary certainty classes, there were approximately 

25,000 establishments included in the sample with certainty. Collectively, these certainty establishments accounted 

for approximately 80 percent of the total value of shipments 

in the 1992 Census of Manufactures. 

Smaller establishments in the remaining portion of the 

mail stratum were sampled with probabilities ranging from 

INTRODUCTION 1-1 

6> 
P.8 

.02 to 1.00. The initial probabilities of selection assigned to 

these establishments were proportionate to a measure-ofsize determined for each establishment. The measure-ofsize was a function of the establishment's 1992 industry 

classification, it's 1992 product class data, and the historical variability of the year-to-year estimates of the product 

class estimates. For each product class (1,755) and fourdigit industry (459), a desired reliability constraint was 

specified. Using a technique developed by Dr. James R. 

Chromy of the Research Triangle Institute, the initial establishment probabilities were optimized such that the expected 

sample satisfied all industry and product class reliability 

constraints while the sample size was minimized. This 

technique reduces the likelihood of selecting nonrepresentative samples for individual product classes or industries. 

This method of assigning probabilities based on product 

class shipments is motivated by our primary desire to 

produce reliable estimates of both product class and 

industry shipments. The high correlation between shipments and employment, value-added, and other general 

statistics assures that these variables will also be well 

represented by the sample. The actual sample selection 

procedure uses an independent chance of selection method 

(Poisson sampling) which permits us to prevent small 

establishments from being selected in consecutive samples 

without introducing a bias into the survey estimates. 

Nonmail component The initial nonmail component of 

the survey was comprised of approximately 140,000 small, 

single-establishment companies that were tabulated as 

administrative records in the 1992 Census of Manufactures. The nonmail stratum is also supplemented annually 

using the list of newly active single-location companies 

provided by the IRS and payroll cutoffs. Companies with 

payroll below the payroll cutoff are added to the nonmail 

stratum. 

For this portion of the population, sampling is not used. 

The data for this group are estimated based on selected 

information obtained annually from the administrative records 

of the IRS and Social Security Administration (SSA). This 

administrative information, which includes payroll, total 

employment, industry classification, and physical location, 

is obtained under conditions which safeguard the confidentiality of both tax and census records. 

DESCRIPTION OF THE ESTIMATING 

PROCEDURE 

Most of the ASM estimates derived for the mail stratum 

are computed using a difference estimator. At the establishment level, there is a strong correlation between the 

current year data values and the corresponding 1992 

(base) data values. Therefore, within the mailed stratum, 

for each item at each level of aggregation, an estimate of 

the "difference" between the current year and the base 

year is computed from sample cases and added to the 

corresponding base year values. For the 1993-1997 ASM 

1-2 INTRODUCTION 

estimates, the 1992 Census of Manufactures values serve 

as the base year. For the 1998 ASM, the base will be 

updated to be the 1997 Census of Manufactures. 

Due to the positive year-to-year correlation, estimates 

derived using this methodology are generally more reliable 

than comparable estimates developed from the current 

sample data alone. Estimates for the capital expenditures 

variables are not generated using the difference estimator 

because the year-to-year correlations are considerably 

weaker. The standard linear estimator is used for these 

variables. 

For the nonmail stratum, estimates for payroll and 

employment are directly tabulated from the administrativerecord data provided by IRS and SSA. Estimates of data 

other than payroll and employment are developed from 

industry averages. Although the nonmail stratum contains 

approximately 170,000 individual establishments in 1994, it 

accounts for less than 2 percent of the estimate for total 

value of shipments at the total manufacturing level. 

Corresponding estimates for the mail and nonmail components are combined to produce the estimates included in 

this publication. 

ADJUSTMENTS OF HISTORICAL DATA 

The goal of the ASM is to produce estimates that 

represent the employer portion of the manufacturing universe. During census years, ASM estimates generated 

from the same data set have typically been low in comparison to the census data. In 1987 and 1992, the ASM 

estimates for shipments at the all manufacturing level were 

2.0 and 3.5 percent lower than the census values, respectfully. For 1992, the initial ASM estimate for shipments was 

approximately 3.7 percent low. 

Preliminary analyses of the 1992 Census of Manufactures data also suggested that the 1988-91 ASM estimates 

understated the true levels. An interagency task force, 

comprised of representatives from the Bureau of Economic 

Analysis (BEA), the Federal Reserve Board (FRB), and the 

Census Bureau was formed to investigate this issue and 

provide recommendations. After examining the evidence, 

the consensus opinion was that the understatement in the 

ASM estimates from 1988-91 was sufficient to warrant a 

revision to the ASM historical time series. The task force 

recommended that the ten general statistics (GS) variables 

published in the Statistics for Industry Groups and Industries publication (AS-1) be revised for 1988-91. 

The major factors contributing to this decision were as 

follows: 

1. The classification of new single-establishment companies continued to be a problem between 1988 and 

1992. The number of totally unclassified companies in 

our master universe file grew significantly through 

1991 and then declined sharply in 1992 due to special 

census processing. A portion of these unclassified 

companies became classified as manufactures for the 

first time in 1992, despite having been in operation for 

ANNUAL SURVEY OF MANUFACTURES 

7 
P.9 

up to 4 years. These cases are not represented in the 

originally published ASM estimates for 1988-91 because 

of their lack of classification. In addition, it appears that 

a significant number of new manufacturing companies 

were initially classified as nonmanufacturing and, therefore, not subjected to our birth supplementation. Beginning with the 1993 ASM, we have introduced procedures to address both these issues. 

2. The 1992 ASM was processed within the census 

survey processing system. While similar to the regular 

ASM processing system, there were subtle differences 

in data collection, editing, imputation, and analyst 

review that cannot be totally eliminated. This suggests 

that the 1992 ASM estimates derived using census 

files are not totally comparable to the 1988-91 ASM 

estimates. Our analysis suggests the understatement 

in the 1992 ASM estimates because of processing 

differences to be between 1 and 1.5 percent. For the 

1997 ASM, we are redeveloping components of the 

processing system. 

3. The originally published 1989 ASM estimates appear 

to be uniformly low in comparison to other comparable 

time series and our own internal analysis. This suggests that the original 1989 ASM sample was not as 

representative as expected or that there were undetected operational errors in producing the estimates. 

4. As with all sectors of the economy, the manufacturing 

sector is continually changing. Despite tightly controlled procedures for maintaining the ASM sample, 

some deterioration in coverage and representation 

was unavoidable. 

The revised estimates for 1988-91 were derived 

through a series of distinct steps. Essentially, a "smoothing" procedure was used to allocate the difference 

between the 1992 ASM estimates and the corresponding census values over the 5 year span. However, 

before applying this procedure, revised ASM estimates 

for 1989 and 1992 were developed to address problems 2 and 3 described above. 

Generating Revised 1989 Estimates 

i 

The 1989 ASM estimates were separated into industries 

for which the ASM estimates reliably represented the 

population-and industries for which the estimates were 

suspect. In the suspect industries, the change from 1987 to 

1989 was re-estimated using the infonnation reported by 

establishments in these 2 years. A change ratio estimator 

was used rather than the difference estimator usually used 

for ASM estimation. This procedure was not as rigorous as 

the usual estimator, but offered the advantage of not being 

as sensitive to the factors that were felt to have caused the 

original understatement. After the re-estimation, the total 

value of shipments for all manufacturing industries in 1989 

was 0.8 percent higher than originally published. 

Adjustment to 1992 ASM Estimates 

As noted above, the initial 1992 ASM estimates were 

derived within the census processing system rather than 

the usual ASM system. The initial difference between the 

1992 ASM estimate of shipments and the census value 

was approximately 3.7 percent. At the four-digit SIC level, 

an estimate of the processing bias was determined and the 

initial 1992 ASM estimates adjusted accordingly. This adjustment was felt to improve the comparability between the 

1992 and the 1988-91 ASM estimates. The adjustment 

procedure raised the initial 1992 ASM estimate for shipments approximately 1.6 percent, thereby reducing the 

understatement of the 1992 ASM estimate of shipments to 

approximately 2.1 percent at the all manufacturing level. 

Similar differences existed between the 1992 ASM estimates of the other general statistics variables and the 1992 

census values. 

Historical Revision 

This 2.1 percent underestimate of the census by the 

1992 ASM is defined as the "drift" and is felt to be an 

accurate measure of the cumulative degradation in the 

quality of the estimates due to erosion in the representativeness of the sample and processing error. To improve 

the historical ASM time series, the difference between the 

adjusted 1992 ASM estimate and the census value was 

computed for each GS variable at specific industry group 

levels. This difference was divided by five and the result 

added to the industry group level estimate for that variable 

for 1988. Twice the difference was added to the re-estimated 

industry group level estimate for 1989. Three times the 

difference was added for 1990, and four times the difference for 1991. Revised estimates for other variables and 

for other levels of aggregation (geographical) were not 

calculated. The percentage revision in each variable for 

each year was calculated for each industry group level and 

that percentage revision was made to each four-digit SIC 

within the industry group. 

The chart below shows the ASM originally published 

inventories and shipments estimates at the total manufacturing level and the comparable estimates after the adjustment process for 1988-91. The 1987 and 1992 values 

represent census statistics, not ASM estimates. 

Finally, the complete set of 1995 ASM general statistics 

and product class estimates have been revised. They were 

revised to reflect late data corrections made to the 1995 

ASM data resulting from the review of the 1996 survey 

data. 

ANNUAL SURVEY OF MANUFACTURES INTRODUCTION 1-3 

« 
P.10 

Year 

1992 

1991 

1990 

1989 

1988 

1987 

End-of-year inventories 

(billion dollars) 

Published 

374.9 

379.9 

392.5 

380.5 

361.5 

332.6 

Adjusted 

374.9 

387.1 

397.9 

384.5 

363.3 

332.6 

Value of shipments 

(billion dollars) 

Published 

3,004.7 

2,826.2 

2,873.5 

2,792.7 

2,682.6 

2,475.9 

Adjusted 

3,004.7 

2,878.2 

2,912.2 

2,840.4 

2,695.4 

2,475.9 

QUALIFICATIONS OF THE DATA 

The estimates developed from the sample are apt to 

differ somewhat from the results of a survey covering all 

companies in the sample lists but otherwise conducted 

under essentially the same conditions as the actual sample 

survey. The estimates of the magnitude of the sampling 

errors (the difference between the estimates obtained and 

the results theoretically obtained from a comparable, completecoverage survey) are provided by the standard errors of 

estimates. 

The particular sample selected for the ASM is one of 

many similar probability samples that, by chance, might 

have been selected under the same specifications. Each of 

the possible samples would yield somewhat different sets 

of results, and the standard errors are measures of the 

variation of all the possible sample estimates around the 

theoretical, comparable, complete-coverage values. 

Estimates of the standard errors have been computed 

from the sample data for selected statistics in this report. 

They are represented in the form of relative standard errors 

(the standard errors divided by the estimated values to 

which they refer). 

In conjunction with its associated estimate, the relative 

standard error may be used to define confidence intervals 

(ranges that would include the comparable, completecoverage value for specified percentages of all the possible 

samples). 

The complete coverage value would be included in the 

range: 

1. From one standard error below to one standard error 

above the derived estimate for about two-thirds of all 

possible samples. 

2. From two standard errors below to two standard errors 

above the derived estimate for about 19 out of 20 of all 

possible samples. 

3. From three standard errors below to three standard 

errors above the derived estimate for nearly all samples. 

An inference that the comparable, complete-survey result 

would be within the indicated ranges would be correct in 

approximately the relative frequencies shown. Those proportions, therefore, may be interpreted as defining the 

1-4 INTRODUCTION 

confidence that the estimates from a particular sample 

would differ from complete-coverage results by as much as 

one, two, or three standard errors, respectively. 

For example, suppose an estimated total is shown at 

50,000 with an associated relative standard error of 2 

percent, that is, a standard error of 1,000 (2 percent of 

50,000). There is approximately 67 percent confidence that 

the interval 49,000 to 51,000 includes the complete-coverage 

total, about 95 percent confidence that the interval 48,000 

to 52,000 includes the complete-coverage total, and almost 

certain confidence that the interval 47,000 to 53,000 includes 

the complete-coverage total. 

In addition to the sample errors, the estimates are 

subject to various response and operational errors: errors 

of collection, reporting, coding, transcription, imputation for 

nonresponse, etc. These operational errors also would 

occur if a complete canvass were to be conducted under 

the same conditions as the survey. Explicit measures of 

their effects generally are not available. However, it is 

believed that most of the important operational errors were 

detected and corrected during the Census Bureau's review 

of the data for reasonableness and consistency. The small 

operational errors usually remain. To some extent, they are 

compensating in the aggregated totals shown. When important operational errors were detected too late to correct the 

estimates, the data were suppressed or were specifically 

qualified in the tables. 

As derived, the estimated standard errors included part 

of the effect of the operational errors. The total errors, 

which depend upon the joint effect of the sampling and 

operational errors, are usually of the order of size indicated 

by the standard error, or moderately higher. However, for 

particular estimates, the total error may considerably exceed 

the standard errors shown. Any figures shown in the tables 

in this publication having an associated standard error 

exceeding 15 percent may be combined with higher level 

totals, creating a broader aggregate, which then may be of 

acceptable reliability. 

DESCRIPTION OF IMPUTATION PROCEDURE 

The need for imputation in the ASM arises from several 

sources. Complete nonresponse, partial nonresponse, inconsistent reported data, and the Bureau's desire to reduce 

the reporting burden for small manufacturers are the 

primary factors contributing to the need for imputation. 

For purposes of the ASM, an item is considered to be an 

impute if the value was not directly reported on the 

questionnaire, directly derived from other reported items, 

directly available from supplemental sources, or obtained 

from the respondent during the analytical review phase. 

In imputing reoords for nonrespondents, two basic approaches 

are followed. For most larger establishments, operational 

information is available from the prior-year ASM. Imputation for 1996 data for establishments with 1995 data 

available involves adjusting the corresponding 1995 data 

by estimates of the year-to-year relative change. These 

estimates are developed based on employment and payroll 

ANNUAL SURVEY OF MANUFACTURES 

<? 
P.11 

data from the Bureau of Labor Statistics at the industry 

group (three-digit SIC) level and are then applied to the 

1995 prior-year establishment values for employment and 

payroll. The remaining data for the establishment are 

developed based on their prior-year relationship to these 

two control items. For nonrespondents that have no prioryear record available including establishments not included 

in the mail portion of the survey, administrative-record data 

for annual payroll and employment are used. For all other 

items, industry average relationships between these control items and the item to be imputed are used. 

At the total manufacturing level, the overall imputation 

rate is approximately 7 percent of the published value of 

shipments figure for 1996. However, this rate varies widely 

by four-digit industry, five-digit product class, and State 

total. The median imputation rate for a four-digit industry 

was 10 percent; for a five-digit product class, the rate was 

somewhat higher; and for a State total, the rate was 

comparable to the four-digit industry. 

ABBREVIATIONS AND SYMBOLS 

The following abbreviations and symbols are used in this 

publication: 

-

(A) 

(D) 

(NA) 

(NC) 

(S) 

(X) 

(Z) 

n.e.c. 

n.s.k. 

Pt 

r 

SIC 

Represents zero. 

Standard errors of 100 percent or more. 

Withheld to avoid disclosing data for individual 

companies; data aVe included in higher level 

totals. 

Not available. 

Not comparable. 

Withheld because estimate did not meet publication standards. 

Not applicable. 

Less than half the unit shown. 

Not elsewhere classified. 

Not specified by kind. 

Part. 

Revised. 

Standard Industrial Classification. 

ANNUAL SURVEY OF MANUFACTURES INTRODUCTION 1-5 

P 
P.12 

Table 1a. Statistics for All Manufacturing Establishments Including Auxiliaries: 1996 and 

Earlier Years 

[For meaning of abbreviations and symbols, see introductory text. For explanation of terms, see appendixes) 

Establishments1 

Total 

(number) 

With 20 

employees or 

more 

(number) 

Ai) employees2 

Number3 

(1.000) 

Payroll 

(million 

dollars) 

Production workers 

Number3 

(1,000) 

Hours 

(millions) 

Wages 

(million 

dollars) 

Value 

added by 

manufacture4 

(million 

dollars) 

Cost of 

materials 

(million 

dollars) 

Value of 

shipments 

(million 

dollars) 

New capital 

oxpendl* 

turos* 

(million 

dollars) 

1996« 

1995s 

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« 

195S6 

1954. 

1953« 

1952« 

1951« 

19506 

1949« 

(NA) 

(NA) 

NA 

(NA) 

381 696 

(NA) 

(NA) 

(NA) 

(NA) 

368 904 

124 I 

126 : 

359I 118 1 

a 

(NA) 

110 256 

(NA) 

18 665.6 

18 730.9 

18 326.7 

18 232.7 

18 204.9 

18 350.3 

19 057.1 

19 291.7 

19 220.4 

18 951.6 

18 370.0 

18 796.4 

19 123.3 

18 709.2 

19 094.1 

20 264.0 

20 646.9 

21 040.2 

20 501.9 

19 590.1 

18 753.0 

18 302.2 

19 844.4 

19 844.8 

19 028.7 

18 363.1 

19 217.2 

20 035.5 

19 527.6 

19 323-2 

19 024.5 

18 010.2 

17 268.5 

16 958.4 

16 765.6 

16 3312 

16 762.7 

16 6622 

16 0252 

17 104.7 

17 178.3 

16 818.5 

16 125.6 

17 093.0 

16 061.0 

15 638.0 

14 769.9 

13 880.1 

645 032.0 

624 407.1 

593 577.8 

573 421.9 

559 087.3 

539 153.2 

539 918.0 

526 525.9 

505 197.3 

475 681.7 

450 759.6 

443 095.1 

428 398.8 

394 720.9 

379 626.5 

379 214.4 

350 410.8 

328 887.9 

298 967.4 

264 013.1 

233 388.7 

209 519.0 

208 312.0 

193 324.5 

174 186.7 

156 202.8 

153 078.5 

152 765.6 

141 822.7 

132 208.4 

125 350.0 

113 9722 

106 403.3 

99 898.8 

94 2912 

88 127.8 

88 087.1 

85 642.0 

78 348.9 

79 354.0 

77 059.0 

72 126.0 

65 977.0 

68 590.4 

61 140.6 

56 283.8 

47 892.9 

42 752.0 

12 167.8 

12 253.1 

11 947.1 

11 7262 

11 640.9 

11 652.0 

12 23Z7 

12 535.5 

12 438.7 

12 280.4 

11 765.4 

12 174.4 

12 572.8 

12 203.0 

12 400.6 

13 542.8 

13 900.1 

14 537.8 

14 228.7 

13 691.0 

13 0512 

12 567.9 

13 970.9 

14 233.1 

13 526.5 

12 874.9 

13 528.0 

14 357.8 

14 0412 

13 955.3 

13 826.5 

13 076.0 

12 403.3 

12 232.0 

12 126.5 

11 778.5 

12 209.5 

12 272.6 

11 681.1 

12 838.9 

13 131.3 

12 954.4 

12 372.0 

13 500.9 

12 706.0 

12 508.9 

11 778.8 

11 016 3 

25 010.5 

25 072.0 

24 560.1 

23 845.1 

23 563.1 

23 383.0 

24 463.3 

24 933.9 

24 815.4 

24 302.7 

23 1782 

23 731.6 

24 637.1 

23 611.6 

23 538.3 

26 233.1 

26 745.7 

28 324.3 

27 676.5 

26 686.7 

25 353.8 

24 069.9 

27 239.3 

28 096.8 

26 696.7 

25 265.9 

26 669.3 

28 599.8 

28 156.8 

27 837.6 

28 102. 

26 567.8 

25 245.5 

24 509.4 

24 269.5 

23 289.4 

24 174.4 

24 443.6 

22 6792 

25 569.0 

26 088.5 

25 898.3 

24 344.1 

27 065.6 

25 617.6 

25 263.8 

23 T16JS 

21 769.7 

324 495.8 

317 767.5 

304 663.0 

290 2932 

281 538.2 

270 601.0 

275 208.4 

273 119.9 

265 147.1 

251 449.5 

236 599.4 

235 790.8 

231 783.9 

212 416.4 

204 7872 

212 200.9 

198 164.0 

192 881.5 

176 416.8 

157 163.7 

137 564.0 

121 4272 

124 9832 

118 332.3 

105 494.7 

93 231.7 

91 609.0 

93 459.6 

87 480.4 

81 393.6 

78 256.4 

71 361.5 

65 838.9 

62 093.6 

59 134.1 

54 764.6 

55 555.5 

54 714.1 

49 6052 

52 582.5 

52 040.8 

49 217.9 

44 590.5 

48 979.1 

43 763.6 

40 654.8 

34 600.0 

30 254.0 

1 749 661.9 

1 711 442.3 

1 605 980.0 

1 483 054.1 

1 424 699.7 

1 341 386.2 

1 346 970.1 

1 325 433.6 

1 269 313.0 

1 165 740.8 

1 035 437.4 

1 000 142.0 

983 227.7 

882 014.5 

824 117.7 

837 506.5 

773 831.3 

747 480.5 

657 412.0 

585 165.6 

511 470.9 

442 485.8 

452 468.4 

405 623.5 

353 974.2 

314 138.4 

300 227.6 

304 440.7 

285 058.9 

261 983.8 

250 880.1 

226 939.9 

206 193.6 

192 082.9 

179 071.1 

164 2B1.1 

163 998.5 

161 535.8 

141 540.6 

147 835.4 

144 909.3 

13S 022.5 

117 032.3 

121 659.1 

109 162.1 

102 085.8 

89 749.8 

75 366.5 

1 975 362.1 

1 897 570.7 

1 752 735.1 

1 647 492.6 

1 571 773.5 

1 531 221.3 

1 574 617.3 

1 532 330.0 

1 444 500.9 

1 319 844.6 

1 217 608.6 

1 276 009.6 

1 288 413.6 

1 170 237.8 

1 130 142.7 

1 193 969.6 

1 093 567.6 

999 157.5 

877 424.7 

782 417.7 

681 194.1 

597 327.0 

581 580.0 

478 169.6 

407 418.7 

3S6 016.9 

336 551.6 

341 724.5 

320 698.0 

298 513.7 

293 663.8 

268 385.8 

244 080.5 

229 683.8 

221 471.8 

206 404.6 

3 715 428.2 

3 594 359.6 

3 348 019.2 

3 127 620.4 

3 004 722.8 

2 878 164.8 

2 912 228.5 

2 840 376.0 

2 695 432.3 

2 475 939.1 

2 260 314.6 

2 280 183.8 

2 253 429.3 

2 045 853.3 

1 860 205.8 

2 017 542.5 

1 852 668.3 

1 727 214.6 

1 522 937.3 

1 358 526.4 

1 185 695.3 

1 039 377.4 

1 017 873.4 

875 443.2 

756 534.3 

670 970.5 

634 322.1 

642 635.8 

603 220.1 

557 397.8 

538 736.9 

492 005.7 

447 985.1 

420 528.1 

399 308.9 

369 994.3 

(NA) 

139 322.5 

128 473.4 

112 783.6 

103 132.9 

103 188.0 

103 002.9 

105 018.1 

98 737.6 

81 593.1 

78 S49.9 

76 354.5 

83 058.3 

75 185.8 

61 930.5 

74 561.6 

78 632.3 

70 112.8 

61 533.0 

55 209.2 

47 459.0 

40 5452 

37 262.1 

35 696.4 

26 978.8 

24 072.6 

20 940.7 

22 164.3 

22 291.4 

20 613.1 

21 503.0 

20 235.8 

16 615.0 

13 294.3 

11 370.0 

10 4382 

9 779.8 

10 097.8 

9 140.0 

9 543.5 

12 144.0 

11 2332 

8 233.1 

8 200.7 

B 047.9 

7 883.4 

7 781.7 

5 041.3 

6 066.9 

'Includes establishments with payroll at any Ume during year. 

'Figures for 1949 to 1996 include data for employees at manufacturing establishments who were engaged in distiibution and construction work. In addition to employment and payrot for 

operating manufacturing establishments, manufacturing companies reported separately for auxiliary units (e.g.. aminbtrative offices,research, laboratories, storage warehouses, power plants, garages, 

repair shops, etc) which service the manufacturing establishments) of a company. These data also are included in total employment, payroll, and establishment figures. 

of compffing figures varied as follows: All employees: for 1955 to 1996, figures represent average of number of production workers for payroll period ended nearest the 12lh of Mofdi, 

May, August, November, plus all other employees for payroll period ended nearest the 12th of March; for 1949 to 1954, figures represent an average of el employees for payroll period ended nearest tho 

12th of March, May, August and November. Production workers: for 1949 to 1996, figures are based on employment for payroll period ended nearest the 12th of March, May, August, and November. 

^Beginning in 1982, an respondents were requested to report their inventories at cost or market prior td adjustment to UFO cost This is a change from prior years In which respondents ware 

permitted to value their Inventories using any generally accepted accounting method. Consequently, 1982 data for value added are nol comparable to prior years. For Ihe period 1954 to 1982, value 

added by manufacture represents adjusted value added, for earier years, unadjusted value added. Unadjusted value added Is obtained by subtracting the cost of materials, supples and containers, fuel, 

purchased electric energy, and contract work from the value of shipments for products manufactured plus receipts for services rendered. Adjusted value added also takes Into account (a) value added by 

merchandising operations (that is, the difference between the sales value and cost of merchandise sold without further manufacture, processing, or assembly), plus (b) the net change In finished goods 

and work-in-process between the beginning- and end-of-year inventories. 

figures for 1951 lo 1996 include expenditures for plants under construction and not yet in operation. This Information was not colected prior to 1951. 

•Figures represent estimates derived from a representative sample of manufacturing establishments canvassed In the annual survey of manufactures. These estimates, therefore, may differ from 

results that would have been obtained from a complete canvass of aU manufacturing establishments. Standard errors associated with these estimates are published in annual survey of manufactures 

volumes for this period. 

'Data for establishments dassitied in Industry 3273, Ready-Mixed Concrete, and establishments classified In Industry 3599, Industrial Machinery, N.E.C., are excluded from figures In 1949 to 

1957. Figures for 1954 lo 1966 include data for establishments engaged in processing and distributionoffluldmak,lndustryGroup20tMiy Products. These establishments*^ 

for earier census years. Beginning with 1954, figures include data for Industry 2411, Logging. 

ANNUAL SURVEY OF MANUFACTURES INDUSTRY STATISTICS 1-7 

It 
P.13 

Table 1b. Employment Statistics for Operating Manufacturing Establishments and Auxiliaries 

by Major Group: 1996 and Earlier Years 

[For meaning of abbreviations and symbols, see introductory text. For explanation of terms, see appendixes] 

SIC 

code 

20 

21 

22 

23 

24 

25 

26 

27 

28 

29 

Major group and year 

All industries 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.. 

All establishments 

Employees 

(1.000) 

18 665.6 

18 730.9 

18 326.7 

18 2327 

18 204.9 

18 951.6 

19 094.1 

19 590.1 

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 

722 

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 

6728 

712.5 

598.3 

706.9 

527.0 

522.8 

505.9 

4922 

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 5753 

1 5721 

1 578.1 

1 340.1 

1 131.1 

1 081.0 

1 0902 

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 

Payroll 

(million dollars) 

645 032.0 

624 407.1 

593 577.8 

573 421.9 

559 087.3 

475 681.7 

379 626.6 

264 013.1 

48 052.7 

47 040.2 

45 201.4 

44 215.0 

42 963.9 

34 223.3 

29 118.6 

20 472.7 

2 443.5 

2 526.7 

2 419.3 

2 423.9 

2 493.4 

2 170.5 

1 716.9 

897.7 

14 560.3 

14 931.7 

14 773.2 

13 963.3 

13 554.4 

12 252.0 

9 840.1 

8 434.4 

16 600.4 

17 303.0 

16 942.4 

16 855.1 

16 521.4 

14 774.0 

12 881.9 

10 0622 

18 408.7 

17 756.7 

16 825.6 

15 780.8 

14 656.5 

13 201.1 

9 051.6 

7 694.9 

13 010.7 

12 377.4 

11 725.9 

11 136.9 

10 677.1 

9 433.9 

6 3362 

4 586.3 

26 1092 

25 375.5 

24 283.9 

23 458.7 

23 079.1 

18 717.9 

14 857.1 

9 845.3 

50 611.7 

48 801.0 

46 437.7 

45 253.0 

44 079.8 

35 850.5 

23 9121 

14 645.9 

54 373.3 

52 377.7 

49 543.8 

48 098.8 

47 096.5 

34 0392 

27 462 . 

17 6382 

7 641.9 

7 3782 

7 434Z 

76922 

7 431.8 

5 669.0 

6 906.9 

4 2582 

Operating manufacturing establishments 

Employees 

(1,000) 

17 326.3 

17 419.2 

17 059.4 

16 943.5 

16 948.9 

17 718.0 

17 818.1 

18 515.9 

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 

6292 

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 0922 

824.4 

838.8 

823.0 

838.5 

848.6 

8142 

872.6 

8802 

106.0 

109.9 

1112 

113.8 

114.4 

115.8 

151.6 

146.8 

Payroll 

(million dollars) 

560 518.3 

545 362.7 

522 565.7 

504 363.1 

494 108.9 

428 480.0 

341 4062 

242 031.9 

40 379.9 

39 6222 

38 471.4 

37 706.5 

36 771.8 

30 2672 

26 087.5 

18 543.6 

1 521.5 

1 483.9 

1 441.0 

1 423.0 

1 524.4 

1 485.6 

1 323.6 

750.8 

13 214.8 

13 481.7 

13 5942 

12 836.5 

12 397.6 

11 4092 

' 9 046.1 

7 881.4 

14 919.6 

15 703.5 

15 620.0 

15 621.8 

15 325.1 

13 903.6 

12 128.8 

9 658.6 

17 313.6 

16 675.4 

15 902.9 

14 954.5 

13 881.8 

12 706.7 

8 4443 

7 424.7 

12 413.6 

11 8522 

11 270.3 

10 703.4 

10 227.0 

9 0824 

6 083.6 

4 4462 

22 946.5 

22 2773 

21 577.3 

20 900.6 

20 491.9 

16 859.6 

, 12 947.5 

8 9429 

46 175.1 

44 667.5 

42 849.8 

42 058.9 

41 136.1 

33 440.1 

22 706.9 

14 024.5 

36 331.0 

35 445.4 

33 879.6 

33 0933 

32 501.9 

25 0163 

20 835.7 

13 839.3 

5 238.3 

5 246.1 

5 224 J 

5 137.7 

4 966.8 

3 996.1 

4 338.7 

2 6962 

Administrative offices and auxiliaries 

Employees 

(1,000) 

1 339.3 

1 311.7 

1 267.3 

1 2892 

1 256.0 

1 233.6 

1 276.0 

1 0742 

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 

202 

20.5 

18.6 

16.0 

17.0 

14.1 

21.9 

14.5 

125 

11.3 

10.4 

9.9 

10.6 

11.8 

10.6 

6.0 

46.8 

47.5 

472 

472 

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 

2063 

181.4 

35.3 

332 

36.8 

423 

44.0 

37.7 

76.0 

65.3 

Payroll 

(million dollars) 

84 513.7 

79 044.4 

71 012.1 

69 058.8 

64 978.5 

47 201.7 

38 220.4 

21 9812 

7 672.8 

7 418.0 

6 730.0 

6 508.5 

6 1922 

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 

2702 

596.9 

5252 

455.6 

433.5 

450.1 

3513 

252.6 

140.1 

3 1627 

3 0982 

2 706.6 

2 558.1 

2 5872 

1 858.3 

1 909.6 

9024 

4 436.6 

4 133.5 

3 587.9 

3 194.1 

2 943.7 

2 410.4 

1 2052 

621.4 

18 0423 

16 9323 

15 6842 

15 0053 

14 594.6 

9 0227 

6 626.8 

3 798.9 

2 403.6 

2 1321 

2 210.0 

2 5543 

2 465.0 

1 6729 

2 5682 

1 5620 

See footnotes at end of table. 

1-8 INDUSTRY STATISTICS ANNUAL SURVEY OF MANUFACTURES 

.2 
P.14 

Table 1b. Employment Statistics for Operating Manufacturing Establishments and Auxiliaries 

by Major Group: 1996 and Earlier Years-Con. 

(For meaning of abbreviations and symbols, see introductory text. For explanation of terms, see appendixes] 

SIC 

code 

30 

31 

32 

33 

34 

35 

36 

37 

38 

39 

Major group and year 

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.. 

All establishments 

Employees 

(1.000) 

1 057.2 

1 058.4 

1 013.4 

972.3 

942.2 

862.9 

7114 

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 5082 

1 449.3 

1 410.4 

1 400.7 

1 5013 

1 5112 

1 605.8 

2 1128 

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 5993 

1 6503 

1 6628 

1 726.0 

1 783.1 

1 9573 

1 7043 

1 873.6 

889.4 

899.4 

896.2 

9522 

969.3 

1 0423 

ft 

4129 

407.7 

397.3 

393.4 

3823 

386.8 

395.8 

451.0 

Payroll 

(million dollars) 

30 750.4 

29 673.4 

27 971.1 

26 516.5 

25 048.4 

18 898.1 

12 568.8 

8 994.3 

1 777.7 

1 801.1 

1 8772 

1 989.8 

1 972.8 

1 989.1 

2 423.5 

1 992.0 

17 713.1 

16 525.9 

15 636.5 

14 764.6 

14 486.3 

13 555.2 

11 262.2 

8 740.3 

27 172.2 

26 426.6 

25 2553 

23 9929 

23 536.6 

20 840.8 

21 998.4 

19 776.0 

48 833.0 

46 946.5 

44 278.5 

42 1192 

40 929.5 

36 571.9 

29 721.0 

22 0224 

79 321.9 

75 187.1 

69 720.1 

65 934.7 

64 2382 

56 6413 

50 9726 

32 442.3 

66 173.9 

62 064.9 

56 763.8 

53 228.1 

50 711.8 

43 544.3 

ft 

72 201.6 

71 8921 

70 6112 

69 7382 

69 9827 

64 865.4 

44 519.7 

33 314.4 

38 318.3 

37 467.9 

35 9422 

38 635.1 

36 410.6 

31 1682 

ft 

10 957.4 

10 5533 

9 9342 

9 625.0 

9 2163 

7 2773 

6 0103 

4 5983 

Operating manufacturing establishments 

Employees 

(1.000) 

1 017.9 

1 017.8 

976.2 

936.4 

906.7 

831.0 

681.7 

721.3 

772 

86.0 

923 

98.6 

101.1 

129.0 

200.0 

2425 

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 3703 

1 3623 

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 5442 

1 5833 

1 646.9 

1 817.1 

1 595.9 

1 768.1 

820.7 

830.6 

828.1 

8792 

907.1 

9820 

PI 

397.3 

3923 

3823 

3792 

3653 

373.9 

382.7 

439.8 

Payroll 

(million dollars) 

28 435.7 

27 290.4 

25 962.3 

24 467.1 

23 156.0 

17 575.3 

11 596.8 

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 

15 857.2 

14 893.6 

14 144.1 

13 402.9 

13 113.1 

12 353.8 

10 096.7 

7 943.1 

25 644.3 

24 987.5 

23 932.1 

22 707.5 

22 2024 

19 800.1 

20 602.7 

18 745.0 

46 129.8 

44 527.3 

42 008.8 

40 064.9 

38 961.8 

35 026.6 

28 282.6 

21 035.9 

70 7293 

67 431.1 

62 204.3 

58 5572 

57 230.9 

SO 548.4 

46 910.7 

30 557.5 

54 311.4 

51 496.6 

48 123.6 

45 305.5 

44 196.5 

38 738.2 

ft 

63 531.8 

63 891.6 

63 6902 

62 227.4 

62 733.7 

58 790.5 

40 811.7 

30 873.5 

33 7827 

33 0772 

31 882.3 

32 518.4 

33 067.0 

28 778.0 

ft 

10 041.7 

6 683.4 

9 075.4 

8 8582 

8 417.0 

6 871.6 

5 646.9 

4 408.4 

Administrative offices and auxiliaries 

Employees 

(1.000) 

39.3 

40.6 

372 

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 

1323 

128.7 

1262 

130.1 

127.0 

163.8 

137.7 

93.1 

167.5 

157.3 

149.8 

144.2. 

125.0 

124.7 

ft 

1329 

1325 

118.8 

1425 

1362 

1402 

108.4 

105.5 

68.7 

68.8 

68.1 

73.0 

622 

60.3 

ft 

15.8 

15.4 

15.0 

142 

16.8 

129 

13.1 

11.2 

Payroll 

(million 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 

1723 

166.9 

158.8 

204.8 

132.3 

1 855.9 

1 6323 

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 7032 

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 3773 

7 007.3 

6 093.1 

4 061.9 

1 684.8 

11 8626 

10 666.3 

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 

ANNUAL SURVEY OF MANUFACTURES INDUSTRY STATISTICS 1-9 

/3 
Table 2. Statistics for Industry Groups and Industries: 1996 and 1995 

[For meaning of abbreviations and symbols, see introductory text. For explanation of terms, see appendixes] 

SIC 

code 

Industry group and industry 

1996 

Ail employees 

Number 

(1.000) 

Payroll 

(million 

dollars) 

B 

Production workers 

Number 

(1.000) 

Hours 

(mllons) 

Wages 

(million 

dollars) 

Value 

added by 

manufacture 

(million 

dollars) 

Cost of 

materials 

(million 

dollars) 

Value of 

industry 

shipments 

(million 

dollars) 

H 

New capital 

expenditures 

(million 

dollars) 

End-of-year 

inventories 

(million 

dollars) 

20 

21 

22 

23 

24 

25 

26 

27 

28 

29 

30 

31 

32 

33 

34 

35 

36 

37 

38 

39 

20 

201 

2011 

2013 

2015 

202 

2021 

2022 

2023 

2024 

2026 

203 

2032 

2033 

2034 

2035 

2037 

2038 

204 

2041 

2043 

2044 

2045 

2046 

2047 

2048 

205 

2051 

2052 

2053 

206 

2061 

2062 

2063 

2064 

2066 

2068 

207 

2074 

2075 

. 2076 

2077 

2079 

208 

2082 

2083 

2084 

2085 

2086 

2087 

209 

2091 

2092 

2095 

2096 

2097 

2098 

2099 

All industries 

Food and kindred products 

Tobacco products 

Textile mill products 

Apparel and other textile products 

Lumber and wood products 

Furniture and fixtures 

Paper and allied products 

Printing and publishing 

Chemicals and allied products 

Petroleum and coal products 

Rubber and miscellaneous plastics products 

Leather and leather products 

Stone, day, and glass products 

Primary metal Industries 

Fabricated metal products 

Industrial machinery and equipment 

Electronic and other electric equipment 

Transportation equipment 

Instruments and related products 

Miscellaneous manufacturing industries 

Auxiliaries3 '. 

Food and kindred products 

Meat products 

Meat packing plants 

Sausages and other prepared meats 

Poultry slaughtering and processing 

Dairy products 

Creamery butter 

Cheese, natural and processed 

Ory, condensed, and evaporated dairy 

products 

foe cream and frozen desserts 

Fluid milk 

Preserved fruits and vegetables 

Canned specialties 

Canned fruits and vegetables 

Dehydrated fruits, vegetables, and soups ... 

Pickles, sauces, and salad dressings 

Frozen fruits and vegetables 

Frozen specialties, n.e.c. , 

Grain mill products 

Flour and other grain mil products 

Cereal breakfast foods 

Ricemiling 

Prepared flour mixes and doughs 

Wet com milling 

Dog and cat food 

Prepared feeds, n.e.c. 

Bakery products 

Bread, cake, and related products 

Cookies and crackers 

Frozen bakery products, except bread 

Sugar and confectionery products 

Raw cane sugar 

Cane sugar refining 

Beet sugar 

Candy and other confectionery products and 

Industry 2067, chewing gun 

Chocolate and cocoa products 

Salted and roasted nuts and seeds 

Fats and oils 

Cottonseed oil mils 

Soybean ol mils 

Vegetable o« mils, n.e.c 

Animal and marine fats and oils 

Edible tats end oils, n.a.e. 

Beverages 

Malt beverages 

Malt 

Wines, brandy, and brandy spirits 

DistBed and blended Bquors 

Bottled and canned soft drinks 

Flavoring extracts and syrups, n.e.c 

Miscellaneous food and kindred products 

Canned and cured fish and seafoods 

Fresh or frozen prepared fish 

Roasted coffee 

Potato chips and similar snacks 

Manufactured ice 

Macaroni and spaghetti 

Food preparations, n.e.c. 

See footnotes at end of table. 

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 

223 

56.4 

14.1 

20.4 

48.2 

429 

100.3 

12.6 

13.8 

3.6 

15.6 

9.0 

133 

325 

219.9 

1563 

47.4 

162 

88.6 

5.0 

3.1 

83 

53.1 

9.8 

9.4 

25.8 

20 

72 

.8 

8.5 

7.3 

1428 

34.0 

12 

17.0 

6.6 

733 

103 

170.5 

5.0 

39.1 

102 

36.0 

4.7 

6.0 

69.5 

645 032.0 

40 379.9 

1 521.5 

13 214.8 

14 919.6 

17 313.6 

12 413.8 

22 946.5 

46 175.1 

36 331.0 

5 238.3 

28 435.7 

1 600.0 

15 8572 

25 644.3 

46 129.8 

70 729.5 

54 311.4 

63 531.8 

33 782.7 

10 041.7 

84 513.7 

40 379.9 

8 920.6 

2 990.7 

2 174.8 

3 755.1 

4 017.7 

46.0 

953.9 

547.1 

560.6 

1 9102 

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 

4422 

2 602.6 

169.1 

155.2 

263.4 

1 4328 

3533 

228.4 

813.4 

50.6 

236.7 

252 

249.5 

251.4 

5 103.0 

1 538.3 

50.9 

577.2 

2422 

2 285.6 

408.7 

4 208.7 

108.1 

7421 

3373 

1 079.9 

103.8 

155.6 

1 681.8 

12 167.8 

1 112.6 

22.7 

489.0 

726.5 

612.8 

4142 

487.5 

800.7 

476.8 

69.1 

799.7 

64.6 

402.3 

5429 

1 114.4 

1 287.0 

1 006.3 

1 0322 

423.1 

283.4 

1 1126 

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 

112 

15.6 

41.6 

35.9 

70.1 

83 

112 

3.0 

11.9 

62 

10.1 

192 

136.6 

86.0 

372 

13.4 

68.7 

3.1 

2.0 

73 

41.9 

72 

7.1 

17.8 

1.6 

4.9 

3 

5.4 

53 

713 

24.6 

.9 

73 

4.7 

28.1 

5.6 

125.5 

4 2 

324 

62 

253 

2.7 

4.7 

49.8 

25 010.5 

2 300.8 

45.7 

1 015.8 

1 356.3 

1 248.6 

836.7 

1 051.0 

1 573.4 

1 0142 

160.6 

1 649.5 

124.9 

835.8 

1 170.9 

2 338.8 

2 685.1 

2 030.8 

2 1532 

8503 

567.8 

2 3003 

7627 

250.8 

1433 

3683 

178.4 

23 

58.6 

213 

29.1 

67.0 

348.3 

38.9 

106.1 

228 

31.5 

80.6 

683 

158.1 

19.8 

26.5 

6.5 

26.1 

14.4 

23.3 

41.6 

2703 

169.8 

73.4 

273 

1443 

83 

52 

153 

85.3 

14.5 

153 

401 

3.7 

10.8 

12 

123 

121 

1453 

46.1 

1.6 

15.9 

93 

60.4 

120 

2520 

93 

63.6 

122 

48.8 

6.7 

10.0 

101.4 

324 495.8 

25 7022 

1 009.4 

9 774.8 

10 397.2 

12 702.0 

8 350.8 

15 784.9 

20 122.2 

17 468.7 

3 159.4 

18 659.7 

1 087.4 

10 934.4 

18 4326 

29 722.7 

37 696.6 

25 614.4 

39 762.4 

12 304.1 

5 609.9 

25 7022 

6 848.7 

2 332.8 

1 468.3 

3 047.7 

2 320.1 

292 

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 

722 

298.3 

2532 

330.5 

427.4 

3 348.0 

2 100.6 

9513 

295.9 

1 788.5 

105.4 

97.6 

211.9 

9903 

2283 

156.0 

4927 

32.6 

1428 

143 

136.7 

166.4 

2 4429 

1 078.5 

30.1 

215.6 

1573 

785.8 

175.4 

2 549.9 

713 

5053 

179.0 

6424 

54.9 

111.1 

985.8 

1 749 661.9 

178 782.7 

25 859.9 

32 554.9 

38 366.2 

41 485.9 

27 200.3 

72 289.9 

130 946.0 

194 412.3 

31 656.1 

74 944.7 

4 741.8 

46 054.6 

69 539.3 

107 990.4 

187 217.9 

184 012.7 

176 597.9 

97 987.3 

27 021.3 

178 782.7 

23 517.9 

8 278.4 

5 954.2 

9 285.3 

15 7243 

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 5222 

6 4702 

903.9 

2 3903 

2 833.3 

3 496.6 

4 0502 

20 711.9 

12 759.6 

6 5982 

1 354.1 

12 6402 

610.5 

577.1 

607.9 

7 7402 

1 444.3 

1 360.5 

4 257.9 

2472 

1 424.8 

149.1 

1 041.6 

1 395.1 

35 2093 

11 1393 

257.5 

2 814.3 

1 9593 

12 867.1 

6 171.8 

20 547.8 

324.6 

2 3121 

2 892.6 

6 315.3 

278.3 

807.7 

7 6172 

1 975 3621 

283 715.7 

8 656.5 

47 526.5 

38 990.1 

65 173.0 

28 540.5 

88 074.7 

64 691.5 

174 0122 

143 508.3 

75 850.8 

4 621.8 

36 5829 

108 907.1 

106 770.7 

194 259.1 

136 919.6 

293 399.0 

53 091.1 

22 071.1 

283 715.7 

78 713.0 

42 7626 

14 925.1 

21 025.3 

42 774.4 

950.6 

16 295.4 

4 818.4 

3 541.9 

17 168.1 

27 222.2 

3 4128 

8 650.2 

1 811.9 

3 445.2 

5 523.7 

4 378.3 

37 039.5 

5 8729 

2 623.3 

1 630.5 

2 536.4 

6 201.4 

4 113.4 

14 061.6 

'12 030.0 

7 093.0 

3 7422 

1 194.8 

13 673.6 

849.7 

2 085.4 

1 9113 

4 746.0 

2 035.0 

2 045.4 

19 130.4 

696.0 

12 768.4 

5722 

1 321.9 

3 771.9 

33 521.0 

7 048.7 

647.8 

3 078.5 

1 7282 

19 133.7 

1 884.1 

19 611.6 

5383 

4 441.4 

3 689.9 

2 8233 

125.7 

6662 

7 326.4 

461 324.2 

34 481.7 

80 242.0 

77 628.1 

106 518.1 

55 696.7 

160 661.0 

195 435.2 

367 441.8 

174 284.6 

150 467.5 

9 308.5 

82 441.3 

178 297.8 

214 006.3 

381 793.7 

320 614.7 

465 1722 

151 015.9 

48 596.8 

461 3242 

102 103.0 

51 088.6 

20 854.2 

30 160.2 

58 123.1 

1 179.7 

19 840.0 

7 489.0 

6 160.0 

. 23 454.5 

51 708.0 

8 0512 

14 694.6 

2 928.1 

6 897.9 

9 532.4 

9 403.8 

58 473.4 

7 383.6 

9 1052 

2 467.7 

4 913.7 

8 956.0 

75722 

18 075.0 

32 7412 

19 8583 

10 346.7 

2 535.7 

26 265.1 

1 467.0 

2 665.8 

2 839.3 

12 4526 

3 450.7 

3 369.6 

23 387.6 

941.6 

14 197.0 

713.6 

2 348.9 

5 186.5 

68 387.0 

18 220.1 

854.0 

5 548.0 

3 6729 

32 023.6 

8 068.4 

40 135.9 

863.7 

6 741.8 

6 5520 

9 132.9 

403.0 

1 4712 

14 971.2 

139 3225 

11 717.3 

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 

11 450.7 

20 867.4 

13 498.0 

5 273.8 

1 3727 

11 7173 

1 832.6 

590.0 

545.2 

697.4 

1 056.0 

3.8 

2952 

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 

5182 

374.5 

1114 

8726 

70.3 

33.6 

111.6 

381.3 

80.6 

1952 

486.7 

443 

2720 

6.9 

43.9 

119.4 

2 010.7 

877.0 

402 

269.3 

54.0 

605.4 

164.9 

1 1353 

242 

1063 

1452 

4153 

10.7 

31.4 

4020 

427 101.5 

35 973.2 

6 256.5 

9 478.2 

10 015.5 

10 424.0 

6 483.8 

15 887.3 

13 024.2 

40 762.1 

12 045.3 

15 583.9 

1 530.9 

8 679.4 

24 384.8 

27 384.0 

55 9102 

37 953.0 

62 347.6 

24 516.5 

8 4612 

35 9732 

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 

4425 

2920 

582.3 

366.8 

796.3 

1 154.8 

431.6 

538.8 

184.4 

3 6126 

350.7 

253.9 

7433 

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 

2562 

2 7712 

1 8363 

1 253.8 

508.0 

3 1352 

1762 

782.1 

509.0 

239.8 

38.6 

100.0 

1 289.5 

1-10 INDUSTRY STATISTICS ANNUAL SURVEY OF MANUFACTURES 

IH 
P.16 

All employees 

Number 

(1,000) 

K 

18 730.9 

1 519.7 

31.3 

609.7 

946.6 

7402 

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 

3923 

1 311.7 

1 519.7 

428.6 

125.8 

88.6 

214.3 

132.9 

1.5 

352 

15.4 

192 

61.6 

210.3 

212 

60.0 

13.8 

222 

492 

43.9 

105.5 

13.0 

16.6 

4.0 

15.0 

92 

13.4 

342 

2202 

155.9 

. 493 

15.0 

89.7 

53 

3.4 

8.5 

521 

9.9 

103 

25.8 

21 

7.4 

3 

8.5 

7.0 

141.0 

326 

12 

163 

6.7 

73.1 

11.1 

165.7 

53 

382 

9.7 

34.9 

43 

6.0 

66.8 

PayroP 

(rrrilBon 

dollars) 

L 

624 407.1 

39 622.2 

1 483.9 

13 481.7 

15 703.5 

16 675.4 

11 852.2 

22 277.3 

44 667.5 

35 445.4 

5 246.1 

27 290.4 

1 628.7 

14 893.6 

24 987.5 

44 527.3 

67 431.1 

51 496.6 

63 891.6 

33 0772 

9 683.4 

79 044.4 

39 6222 

8 738.9 

2 898.1 

2 194.9 

3 645.9 

3 9724 

43.4 

928.4 

545.4 

554.5 

1 900.6 

5 0483 

6029 

1 4603 

3627 

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 

3982 

2 537.0 

166.8 

160.5 

257.3 

1 3583 

345.0 

248.7 

797.9 

50.5 

242.8 

24.7 

244.9 

235.0 

4 991.6 

1 536.9 

49.3 

5227 

234.8 

2 238.8 

409.1 

3 996.4 

1024 

7262 

3223 

990.4 

1012 

151.7 

1 6024 

Production workers 

Number 

(1.000) 

M 

12 253.1 

1 120.3 

222 

519.6 

792.0 

613.8 

412.8 

487.3 

801.5 

486.8 

712 

8002 

72.0 

387.8 

540.4 

1 0983 

1 261.1 

998.4 

1 0642 

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 

1753 

17.5 

50.3 

113 

172 

423 

36.4 

73.9 

9.4 

133 

3.1 

11.4 

6 2 

9.6 

20.3 

138.1 

87.1 

383 

122 

69.4 

3.4 

23 

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 

312 

5.8 

24.6 

2 8 

4.8 

472 

Hours 

(millions) 

N 

25 072.0 

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 2152 

847.6 

556.6 

.2 

2 314.0 

756.2 

243.1 

146.6 

366.4 

180.0 

21 

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 

72 

25.0 

14.5 

220 

43.0 

280.0 

177.7 

76.1 

262 

146.8 

9.0 

5.9 

15.9 

63.8 

142 

18.0 

40.4 

42 

11.1 

1.1 

126 

11.1 

148.6 

45.1 

1.7 

15.1 

10.0 

622 

14.5 

242.8 

8.9 

632 

126 

46.5 

6.7 

9.7 

95.3 

Wages 

(million 

dollars) 

O 

317 767.5 

25 3620 

976.4 

10 006.8 

11 021.6 

12 2633 

7 995.7 

15 402.4 

19 500.8 

17 004.7 

3 156.5 

18 065.5 

1 122.4 

10 348.8 

17 959.1 

28 764.4 

36 340.4 

24 5152 

40 4573 

12 067.9 

5 4343 

1.7 

25 3620 

6 785.7 

2 3224 

1 499.3 

2 964.0 

2 2573 

27.1 

677.1 

287.7 

3716 

891.7 

3 638.4 

460.4 

1 069.7 

241.7 

419.4 

7592 

687.9 

2 233.3 

271.9 

603.5 

71.4 

2952 

248.6 

301.0 

441.6 

. 3 366.7 

2 138.4 

9582 

2702 

1 7342 

103.4 

100.0 

210.5 

9402 

2133 

166.9 

4933 

342 

1483 

13.7 

148.0 

148.7 

2 460.0 

1 078.9 

29.3 

197.0 

1533 

813.9 

187.1 

2 393.0 

67.4 

493.4 

1729 

57&3 

512 

108.1 

921.7 

1995 

Value 

added by 

manufacture 

(million 

dollars) 

P 

1 711 4423 

179 787.8 

24 715.4 

32 835.7 

39 487.4 

40 987.6 

26 339.1 

80 487.7 

125 737.0 

196 358.0 

29 337.1 

72 370.4 

4 230.2 

42 377.1 

69 587.3 

102 417.7 

176 093.4 

173 471.1 

173 912.7 

95 199.0 

25 615.0 

95.5 

•179 787.8 

25 470.7 

8 909.4 

6 234.6 

10 326.7 

15 653.5 

180.6 

3 721.7 

2 944.1 

2 456.4 

6 350.7 

24 449.1 

4 411.4 

5 8852 

1 251.3 

4 002.4 

3 916.7 

4 9820 

26 055.6 

8 922*1 

477.1 

2 358.1 

4 075.8 

3 279.1 

4 943.4 

20 200.7 

12 501.5 

6 376.3 

1 3229 

11 7843 

568.8 

540.2 

879.4 

6 864.6 

1 548.4 

1 3832 

4 414.4 

205.4 

2 086.8 

123.5 

837.1 

1 161.6 

32 448.7 

10 307.0 

235.4 

2 2193 

2 050.6 

11 854.0 

57822 

19 310.6 

299.5 

2 316.0 

2 603.7 

8 023.4 

291.3 

887.6 

6 889.0 

Cost of 

materials 

(million 

dollars) 

Q 

1 897 570.7 

267 937.3 

8 251.9 

47 4932 

38 950.9 

64 390.4 

27 205.0 

94 838.8 

62 878.1 

166 627.3 

122 471.9 

74 069.6 

4 915.4 

34 065.7 

111 945.3 

103 263.6 

180 393.5 

130 527.1 

286 667.8 

49 276.5 

21 346.6 

54.6 

267 9373 

75 680.9 

42 456.7 

14 516.6 

18 707.7 

40 305.6 

770.0 

14 7573 

4 639.7 

3 570.0 

16 568.4 

26 665.1 

3 2512 

8 528.1 

1 704.4 

3 741.7 

5 157.8 

4 281.9 

31 4724 

5 257.8 

2 519.8 

1 4020 

2 4020 

4 5072 

3 961.9 

11 421.7 

12 113.1 

7 2613 

3 7213 

1 130.0 

12 9213 

8252 

2 0020 

1 947.0 

4 405.8 

1 799.7 

1 9413 

17 175.4 

616.6 

11 2723 

591.9 

1 173.8 

3 520.8 

32 075.4 

68523 

5313 

2 629.6 

1 669.4 

18 349.7 

2 0427 

19 5273 

5133 

4 4913 

3 8762 

2 729.1 

127.9 

667.0 

7 122.7 

Value of 

industry 

shipments 

(million 

dollars) 

R 

3 594 359.6 

446 868.6 

32 983.8 

79 873.8 

78 103.4 

104 944.3 

53 473.9 

173 715.8 

188 133.5 

361 160.7 

151 439.2 

145 739.6 

9 164.7 

75 9312 

180 314.4 

204 383.9 

353 337.8 

301 447.4 

461 803.9 

144 719.4 

46 670.2 

150.1 

446 868.6 

100 9542 

51 314.4 

20 710.8 

28 929.0 

55 797.1 

947.0 

18 411.1 

7 500.3 

6 039.9 

22 898.9 

51 041.3 

7 664.0 

14 3623 

2 9492 

7 747.0 

9 056.0 

9 2627 

57 496.3 

7 257.7 

11 479.4 

1 890.4 

4 751.5 

8 537.1 

7 253.0 

16 327.1 

32 275.9 

19 7624 

10 068.7 

2 4443 

24 569.3 

1 403.4 

2 5822 

2 765.0 

11 2363 

3 334.3 

3 247.7 

21 528.3 

839.1 

13 275.5 

721.7 

2 020.2 

4 671.8 

64 398.0 

17 150.8 

717.7 

4 7982 

3 703.3 

30 203.3 

7 824.6 

38 8082 

8125 

. 6 807.7 

6 4392 

8 748.9 

420.8 

1 557.6 

14 021.6 

New 

capital 

expenditures 

(million 

dollars) 

S 

128 473.4 

11 8121 

411.0 

2 885.9 

1 187.4 

3 059.5 

1 223.8 

8 369.0 

5 6122 

17 556.7 

6 203.8 

6 639.1 

125.6 

3 366.5 

6 671.7 

7 089.7 

9 971.3 

17 207.5 

13 302.9 

4 5342 

1 243.5 

11 8121 

1 587.5 

440.9 

420.6 

725.9 

1 305.6 

6.9 

358.8 

248.9 

2572 

433.8 

1 600.5 

238.8 

4926 

120.1 

1132 

366.3 

269.7 

1 977.5 

208.0 

369.0 

41.1 

136.6 

774.5 

2333 

215.0 

.1 118.7 

547.6 

4773 

93.7 

8093 

57.4 

622 

1220 

407.0 

88.6 

721 

343.8 

122 

161.7 

4.6 

61.0 

843 

2 026.5 

8603 

49.8 

209.4 

673 

684.4 

154.7 

1 0425 

192 

135.6 

134.7 

3282 

7.0 

27.6 

3903 

End-of-year 

inventories 

(million 

dollars) 

T 

421 2423 

34 827.3 

6 100.3 

9 841.1 

11 534.9 

10 576.8 

6 583.3 

17 172.7 

13 638.9 

39 561.2 

10 829.3 

15 0924 

1 507.5 

8 358.8 

24 0513 

26 506.8 

57 106.2 

37 989.8 

57 664.2 

24 233.4 

8 066.0 

34 827.3 

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 6120 

870.0 

722.9 

1 811.7 

5922 

3 385.4 

7293 

327.6 

403.9 

273.4 

492.9 

353.4 

804.9 

1 185.0 

462.7 

563.6 

158.7 

3 7352 

359.8 

3703 

7453 

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 3993 

1 249.5 

605.6 

3 219.5 

177.1 

8563 

509.0 

246.6 

18.9 

1026 

1 306.9 

Standard error of estimate1 (percent) for 

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 

10 

4 

2 

5 

3 

6 

9 

4 

3 

2 

7 

3 

5 

7 

1 

2 

3 

2 

2 

3 

9 

4 

11 

37 

8 

4 

3 

19 

2 

8 

1 

1 

5 

5 

5 

2 

5 

10 

9 

8 

18 

3 

11 

5 

4 

5 

16 

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 

11 

7 

4 

2 

2 

4 

6 

7 

4 

5 

3 

5 

1 

26 

10 

1 

2 

8 

1 

1 

2 

7 

2 

19 

1 

6 

2 

2 

6 

4 

8 

1 

1 

7 

10 

2 

1 

5 

7 

9 

4 

3 

3 

14 

11 

2 

5 

10 

1 

4 

1 

1 

2 

1 

3 

5 

3 

5 

5 

4 

3 

1 

4 

10 

3 

4 

3 

2 

2 

1 

2 

8 

(X) 

2 

4 

5 

4 

9 

4 

37 

• 7 

11 

11 

6 

4 

3 

5 

6 

10 

12 

2 

2 

13 

1 

21 

3 

1 

4 

10 

3 

2 

4 

17 

12 

43 

10 

3 

6 

12 

47 

3 

14 

1 

10 

8 

8 

3 

1 

17 

12 

6 

5 

17 

4 

21 

13 

2 

5 

31 

1 

10 

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 

10 

3 

2 

2 

2 

5 

5 

4 

2 

2 

6 

2 

5 

4 

1 

2 

3 

1 

2 

3 

7 

3 

10 

34 

8 

3 

3 

5 

2 

5 

1 

1 

5 

5 

4 

2 

3 

12 

1 

8 

6 

2 

9 

5 

3 

4 

15 

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 

10 

1 

18 

2 

1 

2 

5 

1 

•1 

2 

4 

2 

11 

20 

7 

1 

2 

8 

3 

8 

1 

1 

5 

9 

2 

1 

7 

6 

10 

4 

2 

2 

13 

9 

2 

4 

13 

1 

3 

S 

1 

2 

1 

4 

3 

3 

6 

1 

3 

3 

1 

2 

12 

3 

2 

2 

2 

2 

1 

2 

6 

(X) 

2 

5 

5 

5 

9 

4 

38 

4 

6 

16 

7 

6 

2 

15 

10 

7 

11 

2 

2 

8 

1 

21 

8 

1 

5 

9 

4 

3 

7 

11 

5 

24 

35 

3 

3 

9 

39 

7 

17 

1 

1 

29 

7 

3 

1 

34 

12 

6 

5 

16 

5 

26 

14 

8 

8 

35 

1 

9 

SIC 

code 

20 

21 

22 

23 

24 

25 

26 

27 

28 

29 

30 

31 

32 

33 

34 

35 

36 

37 

38 

39 

20 

201 

2011 

2013 

2015 

202 

2021 

2022 

2023 

2024 

2026 

203 

2032 

2033 

2034 

2033 

2037 

2038 

204 

2041 

2043 

2044 

2045 

2046 

2047 

2048 

205 

2051 

2052 

2053 

206 

2061 

2062 

2063 

2084 

2066 

2068 

207 

2074 

2075 

2076 

2077 

2079 

208 

2082 

2083 

2084 

2085 

2086 

2087 

209 

2091 

2092 

2095 

2096 

2097 

2098 

2099 

ANNUAL SURVEY OF MANUFACTURES INDUSTRY STATISTICS 1-11 

/ . " 
P.17 

ASN\ 

1996 Annual Survey of Manufactures 

M96(AS)-2 

Value of 

Product Shipments 

U.S. Department of Commerce 

Economics and Statistics Administration 

BUREAU OF THE CENSUS 

n 
P.18 

Acknowledgments 

Judy Dodds, Assistant Chief for Census and Related Programs, was responsible for the overall 

management of the Annual Survey of Manufactures (ASM). She guided the planning and 

implementation of the project and coordinated activities with other divisions. The review and 

analysis of the data were performed by Manufacturing and Construction Division analysts under the 

direction of Kenneth I. Hanson, Chief of the Manufactured Durables Branch, and Michael J. 

Zampogna, Chief of the Manufactured Nondurables Branch, assisted by Michael Brown, 

Raphael S. Corrado, Al Foreman, Mendel Gayle, Robert Miller, Robert Reinard, Nathaniel 

Shelton, Milbren Thomas, Brian Appert, Zoraida Arledge, Stanis Batton, Carol Beasley, Chris 

Blackburn, Larry Blumberg, Vera Harris-Bourne, Brenda Campbell, Kimberly Credito, Renee 

Coley, Suzanne Conard, Mary Ellickson, Merry Glascoe, Indrek Grabbi, Kaylene Hanks, 

Karen Harshbarger, Nancy Higgins, Walter R. Hunter Jr., Jim Jamski, Andrew Kraynak, 

Ronanne McConkey, Keith McKenzie, Philippe Morris, Joanna T.Q. Nguyen, Betty Panned, 

Joyce Pomeroy, Stephen Pope, Venita Powell, Arminta Quash, Annette Ralston, Cindi 

Ramsey, John C. Savage, Wanda Sledd, Susan Sundermann, Dora Thomas, Ann Truffa, 

Richard Wiesler, Kristin Williams, Lissene Witt, and Mike Yamaner. 

The coordination activities, such as developing specifications and procedures and liaison 

with the Data Preparation Division, were conducted by Sheila Proudfoot, Robert A. Rosati, 

Dennis Scheurich, Richard Sterner, Richard Williamson, and Brandy Yarbrough under the 

direction of Dennis L. Shoemaker, Chief, Post Collection Census Branch. 

Under the direction of A William Visnansky, Chief, Special Reports Branch, Baruti A. Taylor 

and Julius Smith assisted by Veronica White performed the overall coordination of the publication 

process. 

The design and implementation of the sample, as well as the coverage operations designed to 

maintain the quality of the sample were provided by the Research and Methodology Staff. This staff 

also was responsible for the development of the estimation procedures used by the survey 

including estimates of reliability shown in the published tables. Key members of the Research and 

Methodology Staff included Stacey Cole, Douglas Bond, Cathy Ritenour, and Robert Struble. 

This staff worked under the direction of Brian V. Greenberg, Assistant Chief for Research and 

Methodology. 

The computer processing systems were developed and coordinated under the direction of 

Martin S. Harahush, Assistant Chief Quinquennial Programs, Economic Statistical Methods and 

Programming Division. Roy Smith, Hugh Watters, Venancio Aguirre, George Boerckel, Robert 

Conard, Phuong-Mai Do, Florence Gapsis, John Goshorn, Lori Guido, Virginia Hicks, Traci 

Least, Hieu Nguyen, and Charles Stout developed the computer editing and tabulation programs 

under the direction of Gary T. Sheridan, Chief, Manufacturing and Construction Programming 

Branch. 

Mailout preparation and receipt operations, clerical and analytical review activities, data keying, 

and geocoding review were performed in the Data Preparation Division under the direction of 

Judith N. Petty, Chief. 

The staff of Administrative and Customer Services Division, Walter C. Odom, Chief, performed 

publication planning, design, composition, editorial review, and printing planning and procurement. 

Cynthia G. Brooks provided publication coordination and editing. 

Special acknowledgment is due to the many businesses whose cooperation was essential to the 

success of the survey. 

t€ 
P.19 

1996 Annual Survey of Manufactures 

M96(AS)-2 

Value of 

Product Shipments 

Issued February 1998 

i 

ro. ( 

U.S. Department of Commerce 

William M. Daley, Secretary 

Robert L. Mallett, Deputy Secretary 

Economics and Statistics Administration 

Lee Price, Acting Under Secretary 

for Economic Affairs 

BUREAU OF THE CENSUS 

James F. Holmes, Acting Director 

M 
P.20 

w w w w 

_ _ _ 

ECONOMICS 

AND STATISTICS 

ADMINISTRATION 

Economics and Statistics 

Administration 

Lee Price, Acting Under Secretary 

for Economic Affairs 

BUREAU OF THE CENSUS 

James F. Holmes, Acting Director 

Bradford R. Huther, Deputy Director 

Paula J. Schneider, Principal Associate 

Director for Programs 

Frederick T. Knickerbocker, Associate 

Director for Economic Programs 

Thomas L. Mesenbourg, Assistant Director 

for Economic Programs 

ECONOMIC PLANNING AND COORDINATION 

DIVISION 

John P. Govoni, Chief 

MANUFACTURING AND CONSTRUCTION DIVISION 

David W. Cartwright, Chief 

For sale by Superintendent of Documents, U.S. Government Printing Office, Washington, DC 20402. 

S>& 
P.21 

Contents 

Value of Product Shipments 

[Page numbers listed here omit the prefix that 

appears as part of the number of each page] 

Page 

Introduction 1 

TABLES 

1. Value of Shipments for Product Classes: 1992to1996 7 

2. Shipments of Selected Product Classes Primary to More Than One Industry: 1992 to 

1996 37 

APPENDIXES 

A. Qualifications of Selected Product Class Codes A-1 

B. Current Industrial Reports by Product Class Codes B-1 

ANNUAL SURVEY OF MANUFACTURES CONTENTS III 

9-1 
P.22 

Table 1. Value of Shipments for Product Classes: 1992 to 1996 

[For meaning of abbreviations and symbols and explanation of terms, see introductory text] 

Industry 

and 

product 

class 

code 

Description 

Value of product shipments 

(million dollars) 

1996 1995 1994 1993 1992 

Standard error 

of estimate' 

(percent) 

for column— 

20 

2011-

20111 

20112 

20113 

20114 

20115 

20116 

20117 

20118 

20119 

2011B 

20110 

2013-

20136 

20137 

20138 

2013B 

20130 

2015-

20151 

20152 

20153 

20154 

20155 

20159 

20150 

2021-

20210 

2022-

20223 

20224 

20225 

20220 

2023-

20235 

20236 

20237 

20238 

20239 

20230 

2024-

20240 

2026-

20261 

20262 

20263 

20265 

20267 

20268 

20260 

2032-

20321 

20322 

20323 

20324 

20320 

2033-

20331 

20332 

20333 

20335 

20336 

20338 

2033A 

2033B 

20330 

2034-

20342 

20343 

20340 

2035-

20352 

20353 

20354 

20350 

2037-

20371 

20372 

20370 

2038-

20382 

20384 

20380 

FOOD AND KINDRED PRODUCTS 

Fresh and frozen meat from animals slaughtered in this plant 

Beef, not canned or made into sausage 

Veal, not canned or made into sausage 

Lamb and mutton, not canned or made into sausage 

Pork, not canned or made Into sausage 

Lard4 

Pork, processed or cured (not canned or made into sausageXsee also code 

20136)2 

Sausages and similar products (not carmed)(see also code 20137)2 

Canned meats (except dog, cat, and baby food)(see also code 20138)2 

Hides, skins, and pelts 

Miscellaneous byproducts of meat packing plants 

Fresh and frozen meat from animals slaughtered in this plant, n.s.k. 

Sausage and other prepared meat* 

Pork, processed or cured, including frozen, not canned or made into sausage 

(see also code 20116)2 

Sausage and similar products, not canned (see also coda 20117)2 

Canned meats (except dog, cat, and baby rood), containing 20 percent or more 

meat (see also code 20118)2 

Other processed, frozen, or cooked meats 

Sausage and other prepared meats, n.s.k. 

Poultry and egg processing 

Young chickens (usually under 20 weeks of age) whole or parts 

Hens and/or fowl (including frozen whole or parts) 

Turkeys (including frozen, whole or parts) 

Other poultry and small game (including frozen, whole or parts). 

Processed poultry and small game (except soups) containing 20 percent or 

more poultry or meat 

.quid, dried, and frozen eggs 

Poultry and egg processing, as-k. 

Creamery butter 

Creamery butter 

Cheese, natural and processed 

Natural cheese, except cottage cheese (Cheddar, brick, grated, cream, Swiss, 

Italian, etc.) 

Process cheese and related products 

Cheese substitutes 

Cheese, natural and processed, n*.k. 

Dry, condensed, and evaporatad dairy products 

Dry rrtflk products and mixtures 

Canned mflk products (consumer type cans), except substitutes 

Concentrated mHk products shipped in buk (barrels, drums, and tanks), except 

substitutes 

Ice cream mixes and related products 

Dairy product substitutes 

Dry, condensed, and evaporated mlk products, n.s.k. 

ka cream and frozen desserts 

Ice cream and Ices 

Fluid milk 

Bulk fluid milk and cream 

Packaged fluid milk and related products. Including cartons, bottles, cans, and 

dispenser cans 

Cottage cheese (including bakers' cheese, pot cheese, and farmers' cheese).. 

Yogurt, except frozen 

Perishable dairy product substitutes 

Other packaged rrik products, n-ex. 

Fluid milk, ru_k. 

Canned specialties 

Canned baby foods, except cereal and biscuits4 

Canned soups, except frozen or seafood4 

Canned dry beans4 

Other canned specialties and canned nationality foods4 

Canned specialties, ruU. 

Canned fruits and vegetable* 

Canned ffufis, except baby foods4 

Canned vegetables, except hominy and mushrooms4 

Canned hominy and mushrooms4 

Canned vegetable Juices* 

Catsup ana other tomato sauces, pastes, etc4 

Jams, jellies, and preserves4 

Canned fruit Juices, nectars, end concentrates4 

Fresh fruit juices and nectar*, single strength4 

Canned fruits and vegetables, asX 

Dried and dehydrated fruits, vegetables, and soup* 

Soup mixes, dried ,.............••....................••.••.....••••.•. . 

Dried and dehydrated fruits and vegetables (Inducing freeze<lried) 

Dried and dehydrated fruits, vegetables, and soups. n.s.k. 

Pickles, sauces, and salad dressing* 

Pickles and other pidded products4^ 

Prepared sauces (except tomato)4 

Mayonnaise, salad dressings, and sandwich spreads4 

pickles, sauces, and salad dressings, rus„ 

Frozen fruits and vegetables 

Frozen fruits, juices, ades, drinks, and cocktails4 

Frozen vegetables4 

Frozen fruits and vegetables, n*Jt 

Frozen spedaW**, itex. 

Frozen dinners: bisef, pork, and poultry pies; and nationality foods 

Other frozen specialties, n.e.c' 

Frozen specialties, n.e.c n_Jc 

See footnotes at end of table. 

47 092.8 

24 753.4 

329.7 

402.6 

11 799.5 

227.1 

2 417.6 

2 223.6 

2 099.4 

1 433.3 

18 746. 

4 730.5 

5 739.1 

1 109.0 

6 410.4 

757.3 

29 980.8 

16 421.4 

165.1 

2 909.8 

79.0 

8 455.8 

1 425.1 

524.5 

1 542.1 

1 54Z1 

18 283.7 

11 336.7 

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 

12 831.8 

800.4 

1 170.7 

413.0 

950.6 

S01.7 

6 259 5 

2 389.7 

994.6 

uQ 

15 99X5 

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 7735 

1 656.6 

205.9 

47 276.2 

25 949.2 

358.3 

405.6 

10 558.9 

176.8 

2 192.7 

2 117.9 

(D) 

2 184.1 

<

D_ 1 824.6 

18 601.4 

4 441.5 

5 511.2 

1 017.8 

6 822.3 

808.6 

28 708.3 

15 794.9 

153.2 

3 225.3 

79.5 

7 713.2 

1 181.6 

560.5 

1 196.4 

1 196.4 

16 802.3 

10 088.0 

6 043.9 

281.8 

388.6 

7 7952 

3 148.9 

953.6 

753.4 

838.4 

2 015.3 

85.6 

6 038.8 

6 038.8 

19 195.9 

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 

«£. 

IS 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 7153 

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 

26 758.9 

328.1 

404.8 

9 637.7 

100.0 

2 168.9 

1 708.3 

1 895.9 

2 227.7 

18 293.3 

4 185.0 

5 563.1 

1 0332 

6 482.9 

1 029.2 

27 027.4 

14 930.3 

139.2 

2 926.3 

78.3 

7 127.4 

1 064.7 

7612 

1 017.3 

1 017.3 

16 426.4 

.10 208.1 

5 424.7 

289.4 

5042 

7 482.0 

2 9932 

1 123.1 

815.2 

876.0 

1 580.1 

94.3 

55462 

5 5462 

18 8742 

3 076.7 

12 165.1 

796.7 

973.8 

295.7 

976.6 

589.6 

6 057 5 

2 246.6 

1 14Z1 

A

0

. 

15 464X1 

2 315.4 

2 840.3 

2152 

399.4 

3 929.8 

955.4 

3 261.6 

1 179.7 

3672 

2 973.0 

621.4 

2 305.6 

46.1 

6 8145 

1 2552 

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 

49 4102 

29 167.8 

269.1 

290.2 

9 897.9 

104.0 

2 112.4 

1 502.9 

1 871 

3 .« 

18 806.0 

3 823.5 

5 606.9 

1 002.1 

6 4902 

1 883.4 

24 963.4 

13 442.7 

120.4 

2 814.6 

66.9 

6 749.9 

8752 

913.7 

1 085.1 

1 085.1 

16 438.4 

10 212.6 

5 3042 

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 

18 421.7 

2 949.3 

11 779.7 

710.7 

1 055.4 

266.7 

886.7 

773.1 

5 933.1 

2 103.1 

1 1112 

220 

15 114.7 

2 303.0 

2 665.6 

2032 

414.4 

3 646.7 

919.3 

3 266.8 

1 172.0 

523.6 

2 900.0 

6255 

2 1675 

107.0 

6 7835 

1 240.6 

1 820.3 

3 426.4 

296.1 

7 7352 

2 918.7 

4 620.1 

196.4 

75045 

5 5142 

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 

23 592.0 

12 642.3 

106.6 

2 681.1 

73.9 

6 020.1 

8662 

1 001.7 

1 201.6 

1 201.6 

15 8635 

10 076.6 

5 068.4 

313.9 

402.6 

7 379.9 

2 676.8 

1 202.3 

903.3 

7435 

1 566.0 

88.0 

5 278.0 

5 278.0 

18 5715 

3 035.5 

11 732.7 

769.6 

9982 

238.4 

886.6 

911.0 

5 7055 

1 986.-

1 1195 

15 195.4 

2 371.9 

2 694.4 

202.0 

409.4 

3 671.6 

922.3 

3 319.7 

1 228.0 

3762 

2 785.7 

592.4 

2 124.3 

69.0 

6 5312 

1 206.9 

1 754.3 

3 339.7 

230.1 

7 408.0 

2 864.0 

4 4112 

132.8 

7 219.7 

5 334.8 

1 662.6 

222.5 

4 

5 

2 

3 

3 

9 

1 

1 

27 

3 

3 

3 

9 

19 

5 

5 

3 

2 

15 

10 

7 

11 

7 

12 

19 

25 

5 

5 

3 

8 

3 

6 

15 

19 

4 

15 

i 

3 

2 

6 

5 

4 

7 

4 

5 

7 

18 

4 

1 

5 

12 

10 

37 

5 

32 

3 

5 

3 

96 

3 

1 

12 

10 

ANNUAL SURVEY OF MANUFACTURES VALUE OF PRODUCT SHIPMENTS 2-7 

9A-
P.23 

Table 1. Value of Shipments for Product Classes: 1992 to 1996-Con. 

[For meaning of abbreviations and symbols and explanation of terms, see introductory text] 

Industry 

and 

produd 

dass 

code 

Description 

Value of produd shipments 

(million dollars) 

1995 1993 1992 

Standord orror 

ot C3timoto' 

(percent) 

for column— 

20 

2041-

20411 

20412 

20413 

20415 

20416 

20410 

2043-

20431 

20432 

20430 

2044-

20440 

2045-

20450 

2046-

20461 

20462 

20463 

20464 

20460 

2047-

20473 

20474 

20470 

2048-

20481 

20482 

20483 

20484 

20485 

20486 

20487 

20468 

20489 

2048A 

20480 

2051-

20511 

20512 

20513 

20514 

20515 

20516 

20517 

20510 

2052-

20521 

20522 

20520 

2053-

20530 

2061-

20610 

2062-

20620 

2063-

20630 

2064-

20642 

20643 

20648 

20649 

20640 

2066-

20661 

20662 

20669 

20660 

2068-

20680 

2074-

20741 

20742 

20743 

20744 

20740 

2075-

20751 

20752 

20750 

FOOD AND KINDRED PRODUCTS-Con. 

Flour and other grain mill products 

Wheat flour, except flour mixes4 

Wheat mill products other than flour 

Com min products 

Flour mixes and refrigerated and firozen doughs and batters (see also code 

20450)2 

Other grain mill products4 

Flour and other grain mill products, n.s.k. 

Cereal breakfast foods 

Ready to serve cereal breakfast foods, except infant cereals . 

Other cereal breakfast foods 

Cereal breakfast foods, n.s.k. 

Rice milling 

Milled rice and byproducts 

Prepared flour mixes and doughs 

Flour mixes and refrigerated and frozen doughs and batters (see also code 

20415)* 

Wet com milling 

Com sweeteners 

Manufactured starch 

Comdl4 

Wet process com byproducts 

Wet com mining, n.s.k. 

Dog and cat food 

Dog food 

Cat food 

Dog and cat food, n.s.k. 

Prepared feeds, n.e.c 

Chicken and turkey feed, supplements, concentrates, and premixes 

Dairy cattle feed, complete 

Dairy cattle feed supplements, concentrates, and premixes 

Swine feed, complete 

Swine feed supplements, concentrates, and premixes 

Beef cattle feed, complete 

Beef cattle feed supplements, concentrates, and premixes 

Other poultry and livestock feed 

Other prepared animal feeds, including feeding materials and adjuncts . 

Specialty feeds 

Prepared feeds, n.e.c.. n.s.k. 

Bread, cake, and related products 

Bread: white, wheat, and rye (including frozen) . 

Rolls, breadtype 

Sweet yeast goods 

Soft cakes 

Pies (fruit cream, and custard) 

Pastries 

Doughnuts, cake-type, except frozen 

Bread, cake, and related products, n.s.k. 

Cookies and crackers 

Crackers, pretzels, biscuits, and related products 

Cookies, wafers, and ice cream cones and cups exoept frozen 

Cookies and crackers, nj.k. 

Frozen bakery products 

Frozen bakery products 

Raw cane sugar 

Sugarcane mill products and byproducts. 

Can* sugar refining 

Refinedccana e sugar and byproducts. 

Beet sugar .......................................................... . 

Refined beet sugar and byproducts 

Candy and other confectionery products, and chawing gum (formerly 

product cod* 2067) 

Chocolate end chocolate*ype confectionery products made from purchased 

chocolate (see also code 20662)" 

Norahocolate-type confectionery products1 

Chewing gum and chewing gum base5 

Other ccnfedionerytype products 

Candy and other confectionery products, n.s.k. 

Chocolate and cocoa products 

Chocolate coatings3 

Chocolate and chocolateiype confectionery products made from cocoa beans 

ground In same establishment (see also code 20642)'» 

Other chocolate and cocoa products1 -. 

Chocolate and cocoa products. n*k. 

Nuts and seeds. 

Nuts and seeds (salted, roasted, cooked, or blanched) 

Cottonseed oil mills 

Cottonseed oU. crude 

Cottonseed oil, onoerofined 

Cotton inters 

Cottonseed cake and meal and other byproducts 

Cottonseed oil mills, n.s.k. 

Soybean oO mills 

Soybean oil * 

Soybean cake, meal, and other byproducts . 

Soybean oil mills, n.s.k. 

7 382.7 

4 806.1 

8432 

986.5 

371.7 

187.8 

187.4 

7 1635 

6 300.8 

839.9 

22.9 

2 1805 

2 180.8 

4 666.6 

4 666.6 

7 7165 

3 616.7 

1 5292 

720.3 

1 831.7 

18.6 

7 1955 

4 709.1 

2 386.1 

100.4 

17 105.0 

7 840.3 

1 811.9 

752.3 

8102 

1 011.6 

646.6 

7732 

928.0 

6235 

714.5 

1 1925 

16 970.0 

7 347.3 

4 658.1 

734.5 

1 9632 

447.4 

222.0 

6632 

934.3 

9 212.4 

4 228.5 

4 846.4 

135.4 

2 6815 

2 681.3 

1 634.0 

1 634.0 

2 546.0 

2 546.0 

27985 

27985 

12 833.1 

6 813.0 

4 196.3 

1 451.1 

159.6 

2132 

3 3275 

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 

11 798.4 

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 5035 

4 378.5 

2 045.8 

78.9 

15 105.4 

6 1785 

1 6012 

732.9 

669.9 

1 131.8 

908.8 

741.1 

721.4 

572.6 

666.6 

1 180.6 

16 2795 

6 766.0 

4 577.3 

764.5 

1 6862 

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 5712 

1 5712 

2 4415 

2 441.3 

2 7165 

2 716.9 

11 508.3 

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 

10 8185 

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 2755 

4 134.1 

2 012.7 

128.5 

13 744.7 

5 3332 

1 516.5 

702.7 

592.4 

1 125.5 

721.4 

675.7 

5002 

603.6 

766.7 

1 206.8 

IS 784.6 

6 306.1 

4 4992 

772.4 

1 897.0 

380.1 

184.8 

611.0 

1 134.1 

8 7655 

3 850.1 

4 778.7 

1365 

2 227.4 

2 227.4 

1 6272 

1 5272 

2 450.4 

2 450.4 

2 518.7 

2 518.7 

10 8195 

5 384.9 

3 676.7 

1 375.4 

63.1 

299.8 

3 311.4 

833.4 

2 8535 

2 653.5 

816.6 

119.7 

167.3 

50.7 

452.9 

25.9 

10 617.4 

3 181.4 

7 308.4 

127.6 

6 6942 

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 1685 

2 791.5 

1 309.9 

709.6 

1 314.5 

43.1 

6 533.0 

4 256.8 

2 0655 

210.7 

13 741.6 

4 936.3 

1 454.7 

644.6 

521.4 

1 085.4 

6575 

648.6 

473.8 

605.4 

7662 

1 947.8 

15 1705 

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 

20335 

2 033.3 

1 489.0 

1 489.0 

2 762.0 

2 762.0 

2 302.0 

2 302.0 

10 S265 

5 278.8 

3 467.9 

1 227.7 

70.7 

481.7 

3 1545 

632.3 

1 5175 

603.0 

1022 

2 8195 

2 819.8 

7452 

84.6 

1922 

47.3 

401.5 

16.8 

9 774.8 

2 768.7 

6 9272 

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 4185 

2 611.0 

1 318.1 

801.6 

1 363.5 

21.4 

6 3162 

3 899.8 

2 271.1 

145.3 

13 231.7 

4 890.3 

1 454.7 

678.5 

541.9 

1 181.4 

5242 

623.0 

511.9 

469.6 

747.4 

1 628.9 

14 5722 

5 983.9 

4 037.0 

840.4 

1 8882 

4152 

144.9 

498.4 

7642 

7 4695 

3 208.9 

4 168.9 

111.7 

1 864.0 

1 664.0 

1 4332 

1 4332 

2 664.1 

2 864.1 

2 189.7 

2 189.7 

10 0675 

5 167.3 

3 370.1 

1 106.3 

84.4 

339.8 

3 0905 

589.5 

1 495.6 

6432 

625 

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 

12 

11 

1 

1 

1 

3 

13 

13 

1 

1 

1 

1 

2 

1 

2 

3 

2 

17 

3 

3 

5 

8 

16 

6 

6 

23 

22 

12 

15 

1 

1 

2 

3 

2 

3 

9 

3 

4 

2 

4 

2 

10 

5 

5 

21 

21 

11 

11 

2 

3 

1 

6 

16 

2 

1 

2 

3 

23 

13 

21 

5 

12 

23 

28 

1 

1 

1 

11 

See footnotes at end of table. 

2-8 VALUE OF PRODUCT SHIPMENTS ANNUAL SURVEY OF MANUFACTURES 

23 
Table 1. Value of Shipments for Product Classes: 1992 to 1996-Con. 

[For meaning of abbreviations and symbols and explanation of terms, see introdudory text] 

Industry 

and 

produd 

dass 

code 

Description 

Value of produd shipments 

(million dollars) 

1994 1993 1992 

Standard error 

of estimate1 

(percent) 

for column— 

20 

2076-

20761 

20762 

20763 

20760 

2077-

20771 

20772 

20773 

20770 

2079-

20791 

20792 

20790 

2082-

20821 

20822 

20823 

20824 

20820 

2083-

20830 

2084-

20840 

2085-

20851 

20853 

20850 

2086-

20863 

20864 

20665 

20666 

20660 

2087-

20871 

20872 

20873 

20874 

20870 

2091-

20910 

2092-

20922 

20923 

20925 

20926 

20920 

2095-

20951 

20952 

20950 

2096-

20961 

20962 

20963 

20960 

2097-

20970 

2098-

20980 

2099-

20991 

20993 

20994 

2099A 

2099B 

2099D 

2099E 

2099F 

2099G 

20990 

FOOD AND KINDRED PRODUCTS-Con. 

Vegetable oil mills, n.e.c 

Unseed oil 

Vegetable oils, n.e.c 

Other vegetable dl mill products, n.e.c . 

Vegetable dl mills, n.e.c., n.s.k 

Animal and marine fats and oils 

Grease and inedible tallow 

Feed and fertilizer byproducts 

Animal and marine oil mill products.... 

Animal and marine fats and oils, n.s.k.. 

Edible fats and oils, n.e.c 

Shortening and cooking oils 

Margarine 

Edible fats and oils, n.e.c. n.s.k.. 

Malt beverages 

Canned beer and ale case goods 

Bottled beer and ale case goods 

Beer and ale in bands and kegs 

All other malt beverages and brewing products . 

Malt beverages, n.s.k*. 

Malt 

Malt and malt byproducts . 

Wines, brandy, and brandy spirits . 

Wines, brandy, and brandy spirits.. 

Distilled and blended liquor* 

Distilled liquor, except brandy 

Bottled liquor, except brandy 

Distilled and blended liquors, n._k.. 

Bottled and canned soft drinks 

Bottled carbonated soft drinks 

Canned carbonated soft drinks 

Soft drink flavoring syrup sold in bulk . 

Noncarbonated soft drinks 

Bottled and canned soft drinks, n.s.k.. 

Flavoring extracts and syrup*, iu*.c. 

Flavoring extracts, emulsions, and other liquid flavors .. 

Liquid beverage bases not for use by soft drink bottlers. 

Liquid beverage bases for use bv soft drink bottlers 

Other flavoring agents (except chocolate syrups) 

Flavoring extracts and synjps, n.e.c n.s.k. 

Canned and cured fish and seafood* 

Canned and cured fish and other seafoods, including soup (except frozen 

seafoods and soup) 

Fresh or frozen prepared fi»h and seafoods 

Prepared fresh fish and other fresh seafood4 

Frozen fish4 

Frozen shellfish4 

Other frozen seafoods4 , 

Fresh or frozen prepared fish and other seafood, rtsJe . 

Roasted coffee 

Roasted coffee 

Concentrated coffee .. 

Roasted coffee, rts.k.. 

Potato chips and similar product* 

Potato chips and sticks, plain and flavored . 

Com chips and related products 

Other chips, sticks, etc 

Potato chips and similar products, rutk.... 

Manufactured ice .. 

Manufactured ice . 

Macaroni and spaghetti 

Macaroni, spaghetti, and egg noodfo products except canned and frozen, not 

packaged with other ingredients 

Food preparation*, n.*.c. 

Desserts (ready-tewnU). 

Sweetening syrups and n 

Baking powder and yeast 

Vinegar and dder 

Perishable prepared foods sold In bulk or packages, not frozen or canned 

Macaroni and mode producis packaged with other Ingnxtents, not canned or 

frozen 

Dry mix preparations, except macaroni and modes 

Tea in consumer padtages 

Spices. 

Peanut butter 

Other food preparations, n.e.c. ., 

Food 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 5172 

1 246.5 

67.7 

18 195.6 

9 864.7 

6 0802 

1 069.3 

681.6 

499.7 

830.3 

630.3 

5 410.6 

5 410.6 

3 187.5 

4302 

2 733.9 

23.4 

29 618.1 

9 664.8 

12 271.8 

1 224.4 

5 432.5 

824.7 

8 2435 

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 

4172 

S9925 

5 0782 

7S9.0 

155.7 

9 2035 

4 185.5 

3 855.0 

1 023.7 

139.7 

3785 

378.8 

1 369.0 

1 369.0 

15 378.1 

733.7 

545.8 

3905 

187.5 

2 740.7 

1 032.5 

2 652.9 

1 1065 

1 387.6 

944.8 

1 693.8 

1 962.0 

904.5 

68.7 

568.8 

261.0 

6.0 

3 1982 

1 244.5 

1 699.2 

190.3 

64.1 

5 7095 

4 434.4 

1 215.0 

60.0 

17 1082 

9 631.3 

5 475.5 

1 0142 

681.5 

305.7 

696.0 

4 674.9 

4 674.9 

3 371.6 

529.8 

2 8202 

21.6 

28 366.1 

9 409.1 

11 702.9 

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 6065 

4 0595 

3 419.3 

972.1 

155.9 

402.4 

402.4 

1 4542 

1 4542 

15 0015 

673.8 

580.3 

390.0 

219.6 

2 635.8 

1 199.0 

2 549.4 

1 103.9 

1 241.7 

93Z7 

1 645.1 

1 830.6 

860.1 

63.7 

506.2 

261.1 

292 

2 764.0 

1648.3 

1 460.9 

225.2 

49.7 

5 596.9 

4 159.3 

1 409.7 

27.9 

16 713.9 

9 5922 

5 199.6 

7435 

178.4 

5562 

5562 

4 1962 

4 196.2 

3 460.1 

557.6 

2 881.7 

20.8 

26 2175 

8 6762 

10 692.3 

1 185.3 

4 581.5 

882.6 

7 462.0 

652.3 

192.5 

3 296.4 

3 057.4 

263.5 

1 1502 

1 1502 

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 

14 323.1 

6422 

521.7 

359.7 

204.6 

2 608.8 

1 1605 

2 435.3 

1 099.7 

1 128.6 

904.9 

1 651.9 

1 605.3 

9082 

79.1 

519.1 

248.8 

612 

2 8542 

983.9 

1 483.8 

186.7 

199.7 

5 801.7 

4 252.6 

1 485.3 

63.8 

16 628.6 

10 009.7 

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 

23 946.1 

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 0455 

4 002.0 

8412 

202.7 

7 9185 

3 446.8 

3 136.0 

1 074.1 

262.0 

3775 

377.9 

1 445.4 

1 445.4 

14 7085 

715.9 

616.0 

331.1 

2352 

2 430.1 

1 220.7 

2 070.0 

176.0 

163.9 

2595 

6165 

873.3 

747.4 

79.5 

465.2 

1882 

14.5 

2 843.5 

975.1 

1 497.7 

203.2 

167.5 

5 473.7 

4 0202 

1 415.2 

38.3 

17 301.7 

10 6362 

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 

23 776.4 

7 456.6 

9 941.3 

1 052.4 

3 899.4 

1 426.7 

6 7962 

513.9 

158.8 

2 981.5 

2 697.0 

445.0 

1 139.4 

1 139.4 

6 4925 

983.6 

2 732.4 

1 549.8 

596.9 

629.8 

4 7035 

3 763.4 

819.7 

120.3 

7 527.4 

32632 

3 010.7 

1 071.0 

182.5 

3432 

3432 

1 280.0 

1 280.0 

14 176.5 

708.8 

611.6 

316.0 

228.5 

2 3652 

1 122.3 

2 1985 

1 106.1 

1 1225 

1 269.7 

1 661.3 

1 465.7 

4 

1 

7 

1 

6 

4 

5 

6 

15 

38 

4 

3 

14 

12 

1 

1 

1 

1 

6 

8 

22 

8 

18 

3 

5 

4 

4 

3 

18 

4 

9 

5 

9 

4 

16 

10 

9 

14 

2 

2 

1 

12 

3 

4 

4 

16 

51 

10 

10 

1 

1 

3 

2 

6 

2 

20 

5 

4 

7 

3 

14 

6 

6 

5 

See footnotes at end of table. 

ANNUAL SURVEY OF MANUFACTURES VALUE OF PRODUCT SHIPMENTS 2-9 

^ 
Table 1. Value of Shipments for Product Classes: 1992 to 1996-Con. 

[For meaning of abbreviations and symbols and explanation of terms, see introductory text] 

Industry 

and 

produd 

dass 

code 

Description 

Value of produd shipments 

(million dollars) 

1994 1993 

Standard error 

of estimoto' 

(percent) 

for column— 

21 

2111-

21110 

2121-

21210 

2131-

21310 

2141-

21411 

21412 

21413 

21410 

22 

2211-

2211B 

2211C 

2211D 

2211E 

2211F 

2211G 

22110 

2221-

2221B 

2221C 

2221D 

2221E 

2221F 

2221G 

2221H 

2221J 

2221K 

2231-

22311 

22312 

22316 

22317 

22319 

22310 

2241-

22411 

22414 

22415 

22410 

2251-

22514 

22516 

22518 

22510 

2252-

22522 

22525 

22526 

22520 

2253-

22534 

22535 

22536 

2253A 

2253B 

2253C 

2253D 

2253E 

22530 

2254-

22541 

22544 

22540 

TOBACCO PRODUCTS 

Cigarettes, including nontobacco cigarettes. 

Cigarettes, including nontobacco cigarettes4 . 

Cigars 

Cigars4 

Chewing and smoking tobacco 

Chewing and smoking tobacco4 

Tobacco stemming and retrying 

Unstemmed leaf tobacco redried before packing4 

Tobacco, stemmed4 

Reconstituted tobacco4 

Tobacco stemming and redrying, n.s.k. 

TEXTILE MILL PRODUCTS 

Broadwoven fabrica mills, cotton 

Rain weave fabrics, except pile (gray goods) 

Twill weave fabrics, except pile (gray goods) 

All other weaves, except pile (gray goods) 

Pile fabrics (gray goods) 

Finished cotton broadwoven fabrics (finished in weaving mills) (see also code 

22617)3 

Cotton towels and washdoths (made in weaving mills) (see also code 23923)' 

Fabricated cotton textile products, except towels and washdoths (made in 

weaving mils) 

Broadwoven fabrics mills, cotton, n*.k. 

Broadwoven fabric* mill*, manmade fiber and silk 

85 percent or more filament rayon and/or acetate fabrics, Including blends 

chiefly rayon and/or acetate (gray goods) 

85 percent or more filament fabrics, except rayon or acetate (gray goods) 

85 percent or more spun yam plain weave fabrics, except wool blends (gray 

goods) 

85 percent or mom spun yam twill weave fabrics, except pile, exdudng wod 

blends (gray goods) 

Other 85 percent or more spun yam fabrics, except pile, exduding wod blends 

(gray goods) 

Combinations of spun yam and filament fabrics, except wool blends, each less 

than 85% of total liber content (gray) 

Other manmade fiber fabrics andsilK febrics (gray goods) 

Finished manmade liber and s&k broadwoven fabrics (finished in weaving mills) 

(see also code 22628)' 

Sieets and pillowcases, wholly or chiefly manmade fibers and silk (made in 

weaving mils) (see also code 23922)*' -

Fabricated manmade fiber and silk texSe products, except sheets and 

pillowcases (made In weaving mills) 

Broadwoven fabrics mills, manmade fiber and silk, n.s.k. 

Broadwoven fabrics mflls, wool 

Finished wool yams, tops, or raw stock, not combed or spun at the same 

establishment 

Wool broadwoven fabrics (gray goods) 

Finished broadwoven wool fabrics and felts 

Receipts for commission finishing or sponging of wod fabrics 

Fabricated textile products, 36 percent or more wod (made In weaving mils). 

Broadwoven fabrics mills, wod. n._k. 

Narrow fabric* mil* . 

Woven narrow fabrics (12 inches or less in width).. 

Braided narrow fabrics (12 Inches or less in width) . 

Covered rubber thread ........................ . 

Narrow fabrics mite, aa*. 

Women's hosiery, except socks 

Women's and misses' finished hosiery, fUHength and knee-length. 

Women's and misses' finished parity hose, including tights 

Women's hosiery shipped In the gretae 

Women's hosiery, except socks, n.sx 

Hosiery, nex. 

Men's finished seamless hosiery (sizes 10 and up). 

All other finished hosiery 

Seamless hosiery shipped In the greige 

Hosiery, n.e.c., n_.t 

Kntt outerwear mDI* 

Men's and boys'sweaters3 

Women's, misses', and juntas* sweaters' 

Girls', chldren's, and Infants' sweaters3 

Men's and boys'knit shirts (see also code 23213)>3 

Women's, misses', and Juntas' knit shirts and blouses (see also code 23313)2 

Girls', chfldren's, and Infants' knit shirts and blouses (see also code 23613)3 » . 

AD other knit outerwear products3 

Contract and commission receipts for knitting only or knitting and finishing 

outerwear 

Kntt outerwear mis, n*k 

Kntt underwear mills.... 

Men's and boys' knit underwear and nightwear (see also codes 23221 and 

23222?-

Women's end children's knit underwear and nightwear (see also codes 23412 

and23413)»3 

Knit underwear mils, ns.k. 

28 246.6 

28 246.6 

326.9 

326.9 

1 8032 

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 5492 

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 4165 

941.6 

217.6 

194.6 

62.6 

1 523.0 

172.2 

1 264.6 

78.7 

7.5 

3 148.6 

1 3592 

1 380.5 

3172 

91.8 

50525 

1842 

303.1 

29.7 

2 827.0 

2072 

51.6 

588.3 

714.8 

146.5 

1 3835 

(O) 

4062 

(D) 

26 967.4 

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 

7792 

869.3 

178.3 

8222 

2 4862 

1 792.0 

325.7 

457.3 

989.3 

386.6 

2 017.3 

(D) 

& 

1 4635 

432.0 

915.1 

(D: 

17.1 

1 455.9 

967.0 

227.3 

199.7 

615 

1 579.5 

193.3 

1 287.3 

68.5 

10.4 

2 796.6 

1 281.7 

1 2055 

224.4 

85.0 

49445 

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) 

24 200.1 

24 200.1 

2622 

262.2 

1 851.9 

1 851.9 

2 901.1 

257 $ 

iS 

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 7e . ; 

1 518.3 

64.7 

440.0 

971.5 

i 

1 437.0 

933.5 

222.0 

205.3 

762 

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 0775 

2232 

83.8 

535.8 

1562 

(O) 

502.4 

(0) 

22 7055 

22 705.5 

268.3 

268.3 

1 5995 

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 8532 

668.4 

2 425.3 

2 0075 

349.0 

347.0 

960.8 

201.3 

1 377.1 

(D) 

,lS 

1 502.1 

71.2 

437.4 

950.7 

8 

1 298.4 

809.7 

1992 

205.0 

84.5 

1 656.8 

150.0 

1 3642 

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) 

28 839.4 

28 839.4 

264.6 

264.6 

1 5075 

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 

2462 

1 291.0 

(O) 

63.4 

393.3 

887.0 

19.: 

1 223.0 

820.0 

205.6 

152.4 

45.1 

1 8565 

338.7 

1 3942 

84.6 

39.3 

24552 

1 134.7 

1 004.0 

2295 

67.0 

3 613.6 

172.3 

301.6 

25.8 

1 4492 

1792 

64.0 

743.1 

4112 

1672 

1 140.1 

(0) 

4052 

(D) 

2 

2 

°. 

(X* 

3 

13 

1 

6 

10 

7 

1 

2 

11 

7 

1 

1 

4 

11 

3 

(X) 

( 1 . 

2 

2 

4 

2 

9 

12 

6 

17 

26 

6 

12 

6 

1 

(A) 

3 

3 

6 

10 

16 

3 

17 . 

29 

11 

1 

13 

22 

16 

6 

14 

5 

(X) 

13 

(X) 

See footnotes at end of table. 

2-10 VALUE OF PRODUCT SHIPMENTS ANNUAL SURVEY OF MANUFACTURES 

PS" 
Table 1. Value of Shipments for Product Classes: 1992 to 1996-Con. 

[For meaning of abbreviations and symbols and explanation of terms, see introductory text] 

Industry 

and 

produd 

dass 

code 

Description 

Value of product shipments 

(million dollars) 

1996 1994 1993 

Standard error 

of estimate' 

(percent) 

for cdumn— 

22 

2257-

22571 

22573 

22579 

22570 

2256-

22581 

22584 

22585 

22589 

22580 

2259-

22590 

2261-

22617 

22619 

22610 

2262-

22628 

22629 

22620 

2269-

22690 

2273-

22731 

22732 

22733 

22730 

2281-

22811 

22612 

22813 

22814 

22815 

22810 

2282-

22822 

22823 

22825 

22829 

22820 

2284-

22840 

2295-

22952 

22953 

22950 

2296-

22960 

2297-

22971 

22972 

22970 

2298-

22981 

22982 

22983 

22991 

22994 

22995 

22996 

22990 

23 

2311-

23115 

23116 

23117 

23119 

23110 

2321-

23213 

23216 

23219 

23210 

TEXTILE MILL PRODUCTS-Con. 

Weft knit fabrics mills 

Weft (circular) knit fabrics greige goods, except hosiery 

Finished weft (circular) knit fabrics, except hosiery 

Contrad and commission receipts for knitting onfy or knitting and finishing weft 

(circular) knit fabrics 

Weft knit fabrics mills, n.s.k. 

Warp knit fabrics mills and lace goods 

Warp knit fabrics greige goods 

Finished warp knit fabrics 

Lace and rot goods 

Contrad and commission receipts for knitting only or knitting and finishing of 

warp knit fabrics, or finishing lace 

Warp knit fabrics mills and lace goods, n.s.k. 

Knitting mills, n.e.c 

Knit gloves and other knit products (made in knitting mitts)3 

Finishing plants, cotton 

Finished cotton broadwoven fabrics (ml finished in weaving mils) (see also 

code 221 IF)2 

Job or commission finishing of cotton broadwoven fabrics 

Finishing plants, cotton, n.s.k. 

Finishing plants, manmade fiber and silk 

Finished manmade fiber and silk broadwoven fabrics (not finished in weaving 

mills) (see also code 2221J)8 

Job or commission finishing of manmade fiber and silk broadwoven fabrics 

Finishing plants, manmade fiber and silk, n.s.k. 

Finishing plants, n.e.c. 

Finished yam, raw stock, and narrow fabrics (except knit and wod) 

Carpets and rugs 

Woven carpets and nigs3 

Tufted carpets and rugs3 

Carpets and rugs, n.e.c3 

Carpets and rugs, n.s.k. 

Yarn spinning mills4 

Carded cotton yams 

Combed cotton yams 

Rayon and/or acetate spun yams 

Spun noncellulosic fiber and silk yams 

Wool yams 

Yam spinning mills, n.s.k. 

Yam throwing and winding mills 

Rewound, plied, etc., yams (ml spun at the same estabGshment) 

Thrown filament yams, except textured 

Textured, crimped, or bulked filament yams, induding stretch yam (made from 

purchased filament yam) 

Commission throwing, plying, etc., of yams 

Yam throwing and winding mills, n.s.kThread milt* 

Thread 

Coatad fabric*, not rubberized 

Vinyl coated fabrics, induding expanded vinyl coated 

Other coated or laminated fabrics and coated yarns 

Coated fabrics, not rubberized. n.s.k. ." 

Tire cord and tire cord fabric* 

Tiro cord and tire cord fabrics 

Nonwoven fabric* 

Nonwoven fabrics 

Fabricated nonwoven products 

Nonwoven fabrics, osJc 

Cordage and twine 

Hard fiber cordage and twine 

Soft fiber cordage and twine (except cotton) 

Cotton cordage and twine 

Cordage and twine, n.»Jt 

Textile goods, i__c 

Pressed, punched, or needfod felts, except hats 

Recovered fibers, processed mil waste and related products 

Paddings and upholstery filing, batting, and wadding (exdudmg foam rubber 

and plastics) 

Jute goods and scouring and combing mil products 

Textile goods, n.e.c n.s.k. 

APPAREL AND OTHER TEXTILE PRODUCTS 

Men's and boys'suit* and coats 

Suits, Including uniform3 

Overcoats, topcoats, and tailored car and suburban coats (including uniform 

and wool water-repellent), excluding raincoats3 

Tailored dress and sport coats (including uniform) and talored vests3 

Receipts for contrad and commission work on men's and boys' suits and 

tailored coats and Jackets 

Men's and boys'suits and coats. n^Jt 

Men's and boys'shirts, except work shirts 

Men's and boys' knit shirt* (including polo, sweat, tank-tops, T-thlrts for 

outerwear, etc) (see also code 2253A)2 3 

Men'* and boys'woven dress and sport shirts (including uniform)3 

Receipts for contrad and commission work on men's and boys' shirts, except 

work shirts 

Men's and boys' shirts, n.s.k5 0655 

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 

10 805.6 

285.9 

9 787.4 

563.3 

169.1 

8 771.0 

4 080.8 

525.3 

239.0 

3 611.5 

2492 

65.3 

3 681.8 

312.4 

423.9 

2 749.2 

135.9 

60.5 

971.5 

971.5 

1 8452 

7675 

968.4 

109.6 

937.8 

937.8 

4 259.4 

3 151.4 

993.1 

114.8 

688.9 

142.5 

4525 

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 0372 

865.8 

5 2192 

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 6812 

1 7275 

910.5 

42.8 

3 550.1 

2 293.7 

1 221.7 

34.7 

1 032.1 

1 032.1 

10 404.8 

332.1 

9 536.9 

414.6 

1212 

8 6195 

3 714.5 

591.0 

263.5 

3 7252 

2682 

56.9 

3 730.4 

275.1 

419.7 

2 873.8 

128.9 

33.0 

1 015.1 

1 015.1 

1 8812 

735.3 

1 003.6 

14Z4 

9405 

940.8 

4 192.5 

3 0222 

1 0465 

123.4 

696.3 

137.1 

460.9 

64.1 

342 

22555 

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 6055 

471.8 

1 795.7 

56.7 

223.7 

57.7 

239.0 

239.0 

2 9602 

1 910.6 

1 026.3 

23.2 

3 661.1 

2 277.5 

1 371.0 

12.5 

1 2132 

1 213.2 

10 1412 

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 

2372 

416.7 

2 640.7 

162.3 

34.6 

910.6 

910.6 

1 7475 

719.0 

914.8 

114.1 

8432 

8432 

3 971.6 

3 0135 

885.7 

72.7 

6625 

116.1 

418.4 

75.1 

5 3 5 

2 198.4 

6265 

309.7 

6515 

197.4 

413.0 

2 416.7 

1 0872 

752 

850.1 

3865 

175 

4 709.1 

3 120.6 

1 011.4 

5295 

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 1552 

356.9 

159.7 

7 695.5 

2 866.9 

585.6 

269.1 

3 665.8 

264.4 

43.8 

3 2825 

211.4 

371.4 

2 550.9 

115.5 

33.6 

8872 

6872 

1 6525 

718.7 

7935 

139.7 

782.1 

782.1 

3 5765 

2 726.4 

789.3 

612 

6132 

114.0 

3555 

79.0 

64.3 

1 999.6 

6625 

3005 

5645 

193.8 

278.1 

2 256.5 

1 041.0 

64.7 

829.6 

292.3 

29.0 

4 631.6 

2 9095 

1 119.7 

555.8 

46.7 

4 9715 

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 7395 

1 867.0 

8665 

5.8 

3 255.6 

1 967.1 

1 282.1 

6.4 

1 0755 

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 8242 

258.1 

36.9 

3 022.4 

173.9 

332.7 

2 376.8 

1295 

9 2 

832.6 

832.6 

1 4805 

614.1 

776.7 

90.1 

928.0 

928.0 

3 459.1 

2 510.3 

9012 

4 7 5 

625.4 

124.7 

362.6 

73.9 

6 4 2 

1 854.7 

645.0 

293.0 

S35.0 

1765 

205.4 

2 387.4 

1 166.6 

53.4 

8612 

283.8 

22.4 

5 318.1 

3 555.4 

1 112.2 

605.7 

44.8 

30 

3 

10 

17 

4 

14 

3 

4 

24 

63 

63 

1 

1 

1 

3 

7 

10 

8 

2 

1 

11 

5 

3 

10 

30 

26 

4 

4 

10 

16 

13 

2 

1 

1 

5 

5 

10 

14 

8 

11 

9 

46 

74 

7 

22 

8 

13 

18 

11 

17 

1 

18 

28 

28 

3 

12 

16 

1 

See footnotes at end of table. 

ANNUAL SURVEY OF MANUFACTURES VALUE OF PRODUCT SHIPMENTS 2-11 

2-(0