Capital Stock Estimates for

Input-Output Industries:

Methods and Data

U.S. Department of Labor 

Bureau of Labor Statistics 

1979

Bulletin 2034

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Capital Stock Estimates for

Input-Output Industries:

Methods and Data

U.S. Department of Labor 

Ray Marshall, Secretary

Bureau of Labor Statistics 

Janet L. Norwood, Commissioner 

September 1979

Bulletin 2034

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U n ited S ta t e s . B ureau o f Labor S t a t i s t i c s .

C a p ita l s to c k e s tim a te s fo r in p u t-o u tp u t in d u s t r i e s .

( B u lle tin - B ureau o f Labor S t a t i s t i c s ; 203^-)

S u p t. o f Docs, n o .: L 2.3:203^-

1. C a p ita l--U n ite d S t a t e s - - S t a t i s t i c a l m ethods.

2 . C a p ita l--U n ite d S t a t e s - - S t a t i s t i c s . I . T i t l e .

I I . S e r ie s : U n ited S ta te s . Bureau o f Labor S t a t i s ­

t i c s . B u lle tin ; 203^.

HC110.C3U51+ 1979 332’ . 0 4 l 79-607107

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Preface

Much of the empirical research undertaken in the 

field of microeconomics is concerned with the study of 

the production process. Many of these studies require 

information on the major factors of production, most 

notably the amount of capital and labor required to 

produce a given level of output or the change in input 

factors induced by a change in the demand for an industry’s product or service. The Bureau of Labor Statistics (BLS) has developed several consistent annual 

data series for input-output industries for use in the 

study of labor demand and economic growth. (See Time

Series Data for Input-Output Industries, BLS Bulletin 

2018.) This bulletin provides a thorough documentation 

of the development of a capital stock series by industry including a description of the mathematical model, 

the sources and methodology used to develop the input data, and the actual capital stock measures for 72 

industries and three major sectors of the private 

economy.

The initial impetus for developing the capital stock 

series came in the mid-1960’s when the Interagency 

Growth Project-a joint effort of the Council of Economic Advisers, the Office of Management and Budget, and the Departments of Labor and Commerce-was 

organized to monitor economic growth and assess its 

implications for the economy. Part of the research in 

support of this project was the development of a comprehensive set of capital measures. Most of the work 

of developing the capital stock model and data was performed by Jack Faucett Associates on contract with 

the Department of Labor. Beginning in 1967, the model was developed and capital stocks were estimated for 

eight industries. Dr. Noel Roy was responsible for developing the theoretical model and writing the computer program to derive the capital stock estimates. 

These data were later used in a related 1970 study to 

develop production and investment demand functions 

for these eight industries. Two later contracts by Jack 

Faucett Associates with other government agencies 

greatly expanded the detail of the data and refined the

model. The number of industries was expanded to cover the entire private economy in a 1971 study for the 

Office of Emergency Preparedness, Executive Office 

of the President (now Federal Preparedness Agency, 

General Services Administration), and the detail in the 

transportation sector was greatly expanded in a 1972 

study for the Department of Transportation. Beginning 

in 1973, the Office of Economic Growth of BLS assumed responsibility for developing, maintaining, and 

disseminating the capital stock data. To this end, a major effort was devoted to developing a large-scale data 

base to allow ease of access to the data both for internal BLS use and for users outside the Department of 

Labor.

The data reflected in this report were recently updated to 1974 by the Office of Economic Growth and 

Jack Faucett Associates under the direction of Ken 

Rogers. Significant revisions were made to the model, 

and many of the data series were modified to reflect 

newly available data. This study was prepared in the 

Office of Economic Growth under the supervision of 

Ronald E. Kutscher, Assistant Commissioner for Economic Growth. It was designed and written by Ken 

Rogers under the direct supervision of Charles T. Bowman. Joanne Hepburn compiled the complete investment series, developed the industry level deflator series, and provided assistance in making the calculations. 

Betty Su developed the asset weight series, and Robert 

Sylvester performed basic research on the structure of 

the model and developed much of the mathematical 

formulation. Joanne Brown provided statistical and research assistance.

A special note of appreciation goes to Jack Faucett 

and Ida Pepperman of Jack Faucett Associates for the 

many valuable comments and assistance they provided.

Material in this publication is in the public domain 

and may be reproduced without permission of the Federal Government. Please credit the Bureau of Labor 

Statistics and cite Capital Stock Estimates for Input-Output Industries: Methods and Data, Bulletin 2034.

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Contents

Page

Chapters:

1. In tro d u c tio n .......................................................................................................................................................... 1

Choosing an estimation procedure................................................................................................................... 1

General requirements of the model................................................................................................................... 4

Relation to other s e r ie s ................................................................................................................................... 4

2. The investment series............................................................................................................................................. 6

Criteria................................................................................................................................................................. 6

Data sources....................................................................................................................................................... 7

3. Asset weights, service lives, and gross investment d eflato rs............................................................................... 14

Asset weights .................................................................................................................................................... 14

Asset service l i v e s ............................................................................................................................................. 14

Gross investment deflators................................................................................................................................ 15

4. Time paths of discards and depreciation............................................................................................................... 18

Discard pattern.................................................................................................................................................... 18

Depreciation fu n c tio n ....................................................................................................................................... 20

5. Capital stocks for major sectors.............................................................. 25

Charts:

1. Simple discard function for five assets with service lives ranging from 5 to 25 y e a r s.................................... 18

2. Distribution of discards for an asset with a 10-year service l i f e ........................................................................ 19

3. Alternative discard functions for five assets with service lives ranging from 5 to 25 years.............................. 20

4. Efficiency of an asset with a 10-year service life under various depreciation assumptions.............................. 22

5. Alternative discard and decay functions for five assets with service lives ranging from 5 to 25 years .... 24

6. Comparison of BLS and BE A gross capital stock estimates, 1947-74 ............................................................... 32

Tables:

1. Derivation of capital s t o c k .................................................................................................................................... 2

2. Capital stock and related time s e r ie s ..................................................................... 3

3. Average service lives of equipment and structures............................................................................................... 16

4. Service life assumptions for transportation industries......................................................................................... 16

5. Transportation industry deflators by type and source......................................................................................... 17

6. Depreciation time paths based on alternative values of Beta for an asset with a 10-year service life............. 23

7. Impact on capital stock estimates of changes in the value of Beta...................................................................... 24

8. Gross investment for major sectors: Historical d o lla rs..................................................................................... 26

9. Gross investment for major sectors: Constant dollars ..................................................................................... 27

10. Gross capital stocks for major sectors: Historical dollars.................................................................................. 28

11. Gross capital stocks for major sectors: Constant d o lla rs.................................................................................. 29

12. Net capital stocks for major sectors: Historical dollars....................................................................................... 30

13. Net capital stocks for major sectors: Constant d o lla rs ....................................................................................... 31

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Contents— Continued

Page

Appendixes:

A. Adjustments to investment data ......................................................................................................................... 33

B. Mathematical description of the m o d e l............................................................................................................... 41

C. Tables of investment and capital stocks for input-output industries, 1947-74................................................. 46

D. Data series and level of detail available................................................................................................................ 118

E. Aggregation scheme................................................................................................................................................ 122

Order f o r m ................................................................................................................................................................................. 125

VI

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Chapter 1. Introduction

This bulletin presents estimates of the stocks of fixed 

capital assets in the private sector of the economy for 

the years 1947-74. For this study, fixed capital assets 

include only structures (plant) and equipment available 

for use by an industry in the direct production of or in 

the support of the production of goods and services; 

land is excluded.

This chapter discusses the basic concepts of the study 

and provides an overview of the many conceptual and 

practical problems involved in constructing a capital 

stock series. Chapters 2 and 3 describe the data required 

to develop the series, chapter 4 describes the mathematical model and the underlying assumptions used to 

estimate the stocks, and chapter 5 summarizes the steps 

necessary in calculating the stock data and presents the 

results for three major industrial sectors.

The capital stock is composed of many different assets purchased at many different times. The composition of the capital stock changes through additions of 

new plant and equipment (investment) and the sale or 

scrapping (discarding) of assets which have reached the 

end of their useful service life. Even assets that are ostensibly identical may age at different rates, and thus 

may have different productive capabilities which must 

be taken into account in the estimates.

There are two basic measures of capital stock commonly used, gross stock and net stock. Gross capital 

stock is a measure of the capital on hand in any year 

without reference to physical depreciation. This measure assumes that capital assets are equally productive 

over their entire service life. The net stock measure is 

the amount of capital on hand adjusted for physical depreciation. In this study, physical depreciation is defined as the decline in the ability of capital to produce 

at a given output level, i.e., the physical decay of the 

asset or a decline in its productivity.

Choosing an estimation procedure

Capital stock measures as outlined above generally 

do not exist in sufficient detail or quantity to develop 

a time series of annual measures either for specific industries or for an aggregate of all industries. Data of 

this sort are probably maintained by many firms for 

their own use, but the concepts are not rigorously defined by accounting principles. A firm will maintain 

data on productive capability in a manner most useful 

for its own operations and not necessarily in a manner

which will allow comparison with data from other firms. 

The estimation techniques described in this bulletin have 

been developed to permit comparative analysis. Analysts using the capital stock data should keep in mind, 

however, that they are estimates based on a series of 

assumed relationships; they are not based on actual data 

collected through periodic surveys of business 

establishments.

For this study, the estimates should meet several 

criteria:

Consistency. The capital stock measures should be 

consistent from industry to industry and from year 

to year.

Measurability. The data should be expressed in a 

common measure. A measure of value, adjusted for 

price changes, provides a uniform basis for 

aggregation.

Detail. The capital stock estimates should be in sufficient detail to allow meaningful comparisons of different industry groups. In addition, the data should 

account for the different types of capital employed 

as well as the different ages of capital used in production in a given year.

Choice of the estimation technique depends on the 

availability of consistent input data for all industries desired for a time span allowing estimation of the capital 

stock from 1947 to the present. Two possible solutions 

are: Use of book-value data from the Internal Revenue 

Service (IRS) and other sources, and use of the perpetual inventory process to accumulate investment flows 

into capital stock values.

Book-value technique

The IRS series consists of data on the dollar value 

of gross depreciable assets on hand for a sample of corporations in specific industries. Adjustments would be 

required to include the noncorporate portions of each 

industry, and an estimate would be needed to break the 

assets into the plant and equipment components.

Two major problems exist when using the book-value technique. First, these data would only yield gross 

asset values, i.e., the value of assets assuming there is 

no physical depreciation. For this study, physical depreciation, also called efficiency depreciation, is defined 

as the change in productiveness of an asset over time.

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Efficiency depreciation data are not available from the 

IRS and would have to be estimated. Generally, accounting depreciation figures are available, but these 

data reflect tax code allowances and are intended to 

measure depreciation due both to a decline in efficiency and a decline in market value. Further, IRS depreciation guidelines incorporate incentives for capital formation and thus reflect considerations beyond the strict 

economic valuation of assets. Second, book-value data 

reflect a mixture of different vintages of capital, each 

expressed in the prices of the year purchased. Development of a constant-dollar price series would require 

a knowledge of the age distribution of capital in each 

year. With this knowledge, the proportion of book value purchased in each year could be weighted by the 

appropriate price index for that year and summed to 

yield a total book-value estimate expressed in constant 

prices. However, no data are available on the age distribution of capital stock, and any imputations would 

yield quite subjective results. Given the above problems, the use of book values alone would prove 

unsatisfactory.

Perpetual inventory technique

A second method-the perpetual inventory techniquewould be to trace an industry’s investment in a specific capital asset by starting in its purchase year and estimating the yearly decline in the efficiency of the asset 

until the time it is discarded (scrapped). For any given 

year, the sum of the value of assets purchased in previous years would be calculated to derive the capital 

stock for that year.

This technique can best be explained by an example. 

Suppose that an industry purchases 100 units a year of 

an asset which lasts 5 years. Suppose further that the 

asset depreciates at a rate of 10 percent in the first year 

and that depreciation increases by 5 percent in every 

succeeding year until, at the end of 5 years, the asset 

has no productive capacity. Table 1 shows the investment flows and resulting capital stock.

In table 1, the first investment year identified is 1951. 

In the absence of depreciation, the value of the 1951- 

vintage investment remains at 100 until 1956, when it

is no longer able to provide productive capital services. 

(The numbers in parentheses reflect the depreciated 

(net) value of capital stock.) The sum of capital by vintage down each column yields the total capital stock 

available for production in each year. Gross stock in 

1955 and 1956 is 500 units of capital and net stock is 

350 units of capital.

Three specific problems are associated with the perpetual inventory technique. First, in developing capital 

stocks using this method, it is assumed that no capital 

goods were purchased prior to the first investment year 

identified. In actuality, the capital stock calculated in 

the early years of investment must be qualified since 

there is a certain amount of capital available for production which was purchased prior to the first year 

identified. However, in subsequent years, the portion 

of unidentified capital becomes smaller as these assets 

depreciate and are discarded, and the capital stock data 

more accurately reflect the investment identified. Thus, 

investment series used must be of sufficient length to 

insure that all unidentified assets purchased before the 

earliest year of the stock series desired have been retired. This may require using investment data which 

are much less accurate than the data collected in more 

comprehensive surveys in more recent years.

Second, once a capital asset is classified in a specific 

industry, it remains there until it is retired even if the 

firm which owns the asset has changed the goods and 

services it produces sufficiently to be classified in another industry. This may lead to inaccuracies in relating the capital stock to other time series for the industry such as output and employment. This problem becomes less severe at higher levels of aggregation but 

should be kept in mind by those who are using the detailed industry data described as level 1 in table 2.

The final problem relates to the assumptions required 

by the perpetual inventory technique. The above example was overly simplified by using a 5-year life for 

all capital assets. In fact, there is wide variation in the 

service lives of capital assets, even among assets of the 

same type. Little information is available, however, on 

the actual service life of assets. Thus, a set of assumptions must be made to develop a model to account for

Table 1. Derivation of capital stock

Investment year

End-of-year value of capital

1951 1952 1953 1954 1955 1956

1951 ........................................... 100 100(90) 100(75) 100(55) 100(30) 0

1952 ........................................... 100 100(90) 100(75) 100(55) 100(30)

1953 ........................................... to o 100(90) 100(75) 100(55)

1954 ........................................... 100 100(90) 100(75)

1955 ........................................... 100 100(90)

1956 ........................................... 100

Capital stock:

G ross........................................... 100 200 300 400 500 500

Net ........................................... 100 190 265 320 350 350

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Table 2. Capital stock and related time series

Level Capital stock—this study Related BLS and BEA data series Comments

1 ......................... Total agriculture

32 nonm anufacturing industries

Manufacturing:

143 3-digit SIC industries 

14 4-digit SIC industries.

Time series available for 1947-74 

in historical and constant 

dollars (1972=100).

Levels 2-5 below are defined based 

on aggregations of industries at 

this level o f detail.

BLS Input-O utput (I/O) Sectors 

7 agriculture industries

47 nonm anufacturing 

industries

9 5 manufacturing industries.

Time series available for 195 8-76.

O u tput—current dollars 

O u tp u t—constant dollars (1972 = 

100)

Production or nonsupervisory 

worker jobs

N onproduction worker jobs 

Self-employed jobs 

Production worker hours 

N onproduction worker hours 

Self-employed hours 

Index o f labor productivity.

Capital stock may be developed for 

most I/O sectors by aggregations 

o f one or more capital stock 

industries. However, lack of 

detail in the capital stock data 

base requires:

1. aggregation of the 7 I/O 

agriculture industries into 

total agriculture,

2. aggregation of 25 I/O nonm anufacturing sectors in 

various combinations to 

form detail comparable

to detail available in the 

capital stock data base, 

and

3. aggregation of 10 I/O 

manufacturing sectors 

to form comparable 

industries.

2 ......................... Total agriculture 

20 nonm anufacturing industries 

52 manufacturing industries.

Industries defined according to 

BEA I/O definitions.

BLS I/O Industries

4 agriculture industries 

20 nonmanufacturing

industries

52 manufacturing industries.

Industries defined according to 

BEA I/O definitions. Aggregated from tim e series above.

Data are compatible for all industries except agriculture where 

the four BLS agriculture industries must be aggregated to form 

the total agriculture sector.

3 ......................... Total agriculture 

9 nonm anufacturing industries 

20 manufacturing industries 

(2-digit SIC definitions).

No comparable BLS or BEA time 

series are currently available.

BLS industry data may be aggregated for most of these industries.

Comparable data from other 

sources may exist for this 

commonly used aggregation 

scheme.

4 ........................ Total agriculture 

7 nonm anufacturing industries 

2 m anufacturing industries.

No comparable BLS or BEA time 

series are currently available.

BLS industry data may be aggregated for all of these industries.

Comparable data from other 

sources may exist for this 

commonly used aggregation 

scheme.

5 ........................ Total agriculture 

Total nonm anufacturing 

Total manufacturing.

BEA capital stocks 

Total agriculture 

Total nonm anufacturing 

Total manufacturing.

National Income investment

Producers’ durable equipm ent 

Structures.

BEA data are not strictly comparable due to differences in m ethodology, assumptions, desired end 

use, and data gathering techniques.

BLS industries may be aggregated 

to this level of detail to form 

consistent values.

NOTE: “ Nonm anufacturing industries” does not include agriculture.

variation in the service lives and, once these service 

lives are determined, the actual rate of physical 

depreciation.

Combined technique

A third possible technique to develop the capital stock 

estimates is to use a combination of the two previously 

discussed methods. This would entail using the perpetual inventory technique to develop relationships between the historical-dollar and constant-dollar capital 

stock series and the gross and net stock series. These 

relationships can then be used to convert observed gross

book-value data available from IRS and Census sources 

into constant-dollar gross and net capital stock.

The usefulness of this combined technique depends 

upon the reliability of the book-value series and the validity of the calculated relationships. The IRS data are 

not collected with a primary concern for year-to-year 

comparability. However, an alternative source of bookvalue data, similar in concept but more comparable from 

year to year, is available for manufacturing industries 

from the Census of Manufactures and the Annual Survey of Manufactures. The great advantage of using the 

combined technique is that it eliminates the problems

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associated with reclassification of firms into other industries, since book-value data are purportedly an accurate reflection of the actual capital assets on hand in 

a given industry.

However, certain problems relating to the integrity 

of the book-value data dampen somewhat the merits of 

this approach. Specifically, the book-value data are only 

available for a limited number of years and industries. 

In addition, the series suffers from changes in the definition of industries over time, requiring adjustment 

techniques to create a continuous time series. Finally, 

some of the year-to-year changes in the book-value data 

cannot be accounted for. If one takes the change in 

book value from year to year and subtracts this value 

from total capital investment in that year, a measure of 

the discards of worn-out assets should be arrived at. 

However, in many cases this subtraction results in negative values, implying an increase of assets in the industry other than through investment. To a limited extent, 

the increase may be explained by transfers of establishments into these industries. However, in other cases 

there is no explanation for the negative values. Thus, 

there may be some question concerning the reliability 

of the book-value data.

Given the problems outlined, we conclude that further research is required before an accurate capital stock 

series can be developed based on the combined technique. In the interim, the perpetual inventory technique 

is the best approach and is the one used in developing 

the data presented in this study.

It should be noted that the capital stock series presented here does not take changes in technology explicitly into account. Rather, changes in the productive 

capability of assets are reflected only to the extent they 

are reflected in changes in the real costs of the assets. 

Therefore, analysts using the data should consider accounting for technological change in a manner which 

is not related to any specific factor of production.

General Requirements of the Model

The problems associated with the perpetual inventory technique, while not minor, are outweighed by its 

convenience and the wealth of information produced 

when using this model, especially when calculating capital stock under varying assumptions concerning retirement and depreciation patterns. The example previously given, while simplified, is an accurate depiction of 

the basic model used in this study. There are three basic steps required to derive an industry’s capital stock 

for any one year:

1. Develop an annual investment series.

2. Develop a discard pattern which determines 

when assets are actually discarded from use.

3. Develop a depreciation function which relates 

the original value of the asset to the value in subsequent years as it declines in efficiency.

The first step involves identifying annual investments 

to determine when an asset or group of assets enters 

the stock of capital available for production. These data 

should be in sufficient detail to develop separate capital stock series for structures and equipment, with each 

series expressed in both historical-dollar costs and constant-dollar costs. Step 1 is discussed in the next chapter.

The second step is to determine when the assets leave 

the capital stock. This requires identification of the service lives of assets, ideally in sufficient detail to account 

for variation in the specific types of assets purchased 

by an industry as well as for variation in the actual 

service lives of similar assets due to differences in quality, utilization rates, or simply chance. Step 2 is discussed in chapters 3 and 4.

The final step is to model the change, if any, in the 

ability of the assets to produce capital services over 

their useful service lives. For the purposes of this study, 

we assume that the decline in efficiency occurs mostly 

at the end of an asset’s service life when many of the 

original parts begin to fail and there is less incentive to 

maintain the asset at or near full efficiency. Step 3 is 

discussed in chapter 4.

Relation to Other Series

The capital stock estimates developed in this study 

are formally related in concept and definitions to other industry-specific time series developed by BLS. Other series currently available are employment, output, 

and hours for the 149 private sector BLS industries in 

the BLS input-output(I/0) model1. These time series 

are developed using the Standard Industrial Classification System (SIC) which allows meaningful comparisons of various industry data. The I/O industries are 

defined based on groups of SIC industries. The capital 

stock series also is based on SIC definitions and may 

be used with the other series in studies of factor demand, productivity, and output levels. In a few cases, 

the level of detail in the capital stock data base does 

not allow for comparison at the detailed industry level. In those instances, two or more I/O industries must 

be aggregated to form an industry comparable to one 

in the capital stock data base.

These data are also related to capital stock and investment data compiled by the Bureau of Economic 

Analysis (BEA) of the Department of Commerce2. BEA 

provides capital stock data for three major sectors-agriculture, nonmanufacturing excluding agriculture, and

1 Time Series Data for Input-Output Industries: Output, Price, and

Employment, Bulletin 2018 (Bureau of Labor Statistics, 1979).

1 Fixed Nonresidential Business and Residential Capital in the United

States, 1925-75, PB-253 (U.S. Department of Commerce, Bureau of

Economic Analysis, 1976).

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manufacturing. These series are somewhat different in 

concept from those developed here, although they are 

estimated by a similar technique.

The investment series used in this study closely approximates the series used by BEA for manufacturing 

industries but differs considerably for agriculture and 

nonmanufacturing industries3. Thus, the capital stocks 

presented in this report should not be considered as a 

disaggregation of the capital stocks developed by BEA.

3 The agriculture investment series in this study is slightly larger

than the BEA series due to the inclusion of agriculture services in

this sector. The investment series for nonmanufacturing excluding

agriculture differs from the BEA data due to the reallocation of agriculture services to the agriculture sector and to differences in the

methodology used to develop the investment series. The BEA study

uses the national income structure and equipment investment series

as the control for total investment. Nonmanufacturing investment is

This report provides capital stocks at two levels of 

detail-major sector totals and the input-output industry 

detail. Data are maintained by BLS at three other levels of detail; these are available upon request. Table 2 

provides a summary of the capital stock data available 

and comments on other comparable BLS and BEA data 

series. Appendix C provides a complete list of all available industries in the BLS data base and describes the 

time series calculated for each industry.

simply the residual obtained by netting out agriculture and manufacturing investment from the total. The nonmanufacturing total developed in this study is the agregation of investment for each of the detailed nonmanufacturing industries. The two nonmanufacturing series

differ for unexplained reasons. Since no known errors exist in the

detailed industry investment data for this study, no general revisions

were made to the data at this level of detail to insure conformity

with the BEA total.

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Chapter 2. The Investment

Series

The simple model described in chapter 1 outlined the 

basic use of annual investment data in calculating capital stocks. This chapter presents the specific requirements for developing the investment data and discusses 

the major sources of these data. Appendix A provides 

a more detailed description of the adjustments required 

for specific industries.

Criteria

The following criteria served as a guide in developing the investment data:

1. Investment should be classified into industries by 

establishment.

2. Industry definitions should be consistent over the 

length of the time series.

3. The investment time series should span a sufficient 

number of years to allow valid estimation of capital 

stocks beginning in 1947.

4. The investment series should:

a. Include the capital purchases of both corporate and noncorporate firms,

b. Include investmant by new firms even though 

they may not have begun actual production of 

goods or services,

c. Detail expenditures for plant and equipment 

separately,

d. Exclude the cost of land.

Establishment vs. company classification

Investment data generally are classified into industries either on an establishment basis or on a company 

basis. The choice of the classification system may significantly affect the results, depending on the degree of 

product diversification typical of companies in the 

industry.

An establishment is defined as an economic unit, generally at a single location, where business is conducted 

or where goods and services are produced. In those locations where several economic activities are performed, each activity is treated as a separate establishment if there is significant employment in each activity and if separate data are available for each establishment. In the event these conditions are not met, all the 

activities are classified according to the primary activity of the economic unit.

A company consists of one or more establishments. 

Industry classification by company is based on the primary product or service of the entire company. In the 

event that the company produces a relatively narrow 

line of products, the distinction between classification 

systems is negligible, but if the company is composed 

of many varying establishments, then there is a misallocation of investment expenditures to the company’s 

classified industry, i.e., the investment is overstated in 

the principal product industry and understated in those 

industries in which the firm produces secondary 

products.

For the purposes of this study, establishment-based 

data are preferable since we are actually attempting to 

define the productive ability of a particular industry, 

and, as noted above, the establishment basis of classification provides a more accurate allocation of investment expenditures to the actual industry purchasing the 

capital. Establishment classification also facilitates use 

of these data with other major data series, specifically 

with input-output tables and with other related industry-level time series data developed by BLS, all of which 

are defined on an establishment basis.

Industry definitions

In developing the investment series, it is important 

that the data be comparable over the entire series. Major sources of data used for this study are based on the 

SIC, which is revised periodically to account for 

changes in the product structure of the economy. Generally, SIC’s are changed at 5-year intervals (the years 

in which major censuses of business sectors are taken). 

This poses a problem in developing a time series under 

consistent industry classifications. To maintain consistency, tabulations are required with which data from 

one classification may be recast into another. SIC “concordances” were developed to recast data classified under the 1939, 1947, 1954, 1957, and 1967 SIC systems 

into the 1972 SIC base used by this study.

Length of investment series

The time period over which the investment time series is developed is related to both the beginning date 

for the stocks estimates and the service lives of assets 

purchased by the industry. The longer the service life, 

the further back in time one must go to develop the 

investment flows in order to insure that all or most of

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the initial investment is discarded by the first year of 

the stock series. In this study, equipment investment 

data were developed for 1921 to 1974 and structures 

data for 1890 to 1974. This provided a range of 26 and 

57 years, respectively, over which the initial equipment 

and structures were depreciated prior to 1947.

Inclusions and exclusions

The investment series must include all domestic investment expenditures made by the private sector. This 

should include expenditures by both corporate and noncorporate businesses and by those business operations 

which have invested in plant or equipment assets but 

have not begun production in the investment year. Also, 

due to the fundamental difference in the nature of plant 

and equipment assets, a separate capital stock series 

should be developed for each to capture the differences 

in service life, depreciation patterns, and mix of these 

types of assets in the production process over time.

In addition, those capital goods which were initially 

purchased by the government and later sold to the private sector should be included since, in certain industries these assets play a major role in the production 

process. However, these data should be maintained separately in order to preserve the distinction between direct purchases by the private sector and government 

transfers.

Finally, although total capital expenditures by an establishment include purchases of depletable assets (land) 

as well as depreciable assets (plant and equipment), for 

most industries, only the factors of plant and equipment 

enter directly into the production process. Therefore, 

only these two were developed for this study.

Data Sources

The above criteria established a framework to select 

sources of data used to develop the investment series. 

Unfortunately, no single source could provide the required data for all industries for all years. Rather, there 

were several sources representing a variety of concepts, 

some of which were not compatible with the criteria 

outlined above. In the absence of more consistent data, 

these sources had to be used with appropriate adjustments to meet the conceptual requirements of this study. 

In general, the investment data developed for the more 

recent years in the study were more reliable than the 

data for earlier years. Fortunately, much of the early 

data dropped out of the perpetual inventory calculations or neared zero in the years after 1947.

Two sources supplied most of the data used to develop the investment time series: Various censuses and 

surveys conducted by the Bureau of the Census, and 

data from business income tax returns developed by the 

Internal Revenue Service (IRS). The Census Bureau 

sources provided annual observations for manufacturing industries from 1949 to 1974 and benchmark points

for the census years prior to 1949. The IRS provided 

information on investment by manufacturing industries 

prior to 1949 and by many of the nonmanufacturing industries for all years. Other sources included various 

publications of government regulatory agencies, capital and investment surveys conducted by the Bureau of 

Economic Analysis, and other studies pertaining to specific industry investment patterns.

Bureau of the Census

The largest single source of data for manufacturing 

industries was the Bureau of the Census, specifically 

the periodic Census of Manufactures and the related 

Annual Survey of Manufactures (ASM). The census 

data were compiled for the years 1938, 1947, 1954, 1958, 

1963, 1967, and 1972. Data for the intervening years, 

beginning in 1949, were derived from the ASM, which 

is a representative sample of establishments included in 

the full census. These two series provided data in general at the three- and four-digit SIC level of detail and 

separated the investment into expenditures for plant and 

equipment. Two problems prevented the use of these 

data series directly. First, the industry definitions were 

generally changed before each census and, second, the 

level of detail available varied in some of the earlier 

surveys, requiring the use of approximations to derive 

the investment series. This second problem arose primarily in the process required to convert the various 

industry classifications to the common 1972 SIC used 

in this study.

Most of the reclassifications of SIC codes occurred 

at the four-digit level of detail where a complete fourdigit industry was usually reassigned to or combined 

with another industry. For these reassignments, the procedure was simply to renumber old SIC codes to their 

new codes, thus retabulating the old SIC data into the 

new industries. In other cases, the reclassification was 

less straightforward since only a portion of a four-digit 

industry was moved to another code. For these industries, data in the census years were presented in both 

the new classification and the old classification, detailing the value added, annual shipments, and number of 

workers employed by the industry in both classifications. From these data, ratios were developed based on 

the value added in an industry as defined by the old 

classification and the value added under the new definition. Using these ratios, the investment data were retabulated into the SIC of the succeeding census. In some 

cases, value added data were not available, and the value of shipments or number of employees was substituted. It was assumed that these adjustment ratios were 

applicable to the SIC data in the intervening years, thus 

allowing the data derived from the ASM to be adjusted by the same ratio. These code-adjustment ratios operated in a multiplicative manner. When data had to be 

adjusted for two or more SIC revisions, the individual 

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justment ratio. For example, if an SIC code were reduced by 10 percent in one revision and 15 percent in 

the next revision, the overall effect was to reduce the 

SIC to 76.5 percent of its initial value (0.90 X 0.85).

Ideally, allocations should be made separately for 

plant and equipment investment to capture differences 

in the mix of investment expenditures in the reclassified 

industries. In those cases where a complete four- or 

five-digit SIC was reclassified, actual plant and equipment expenditures were allocated to the appropriate 

new SIC industry. In those cases where the adjustment 

ratios were based on value added, the same ratio was 

used to distribute both the plant and equipment expenditures. However, variations in the reporting detail of 

the ASM in several years prevented use of these techniques over the entire time period 1949-74. During the 

period 1949-53, the ASM reported investment only at 

the three-digit SIC level. Since most of the retabulations required four-digit detail, the investment series for 

these years was approximated by using the ratio of the 

unrevised 1947 investment data to the revised 1947 data 

as a constant distribution to be applied to the unrevised 

ASM data.

For the years 1955-57, plant and equipment expenditures were not available separately at the four-digit 

level. The total investment at the four-digit level was 

instead retabulated. Annual proportions of plant and 

equipment expenditures were derived for each threedigit SIC and applied to the four-digit industries making up that three-digit industry. The investment series 

was then retabulated based on the adjustment ratios calculated for the census years.

The final adjustment to the census and ASM data 

was to account for variations in the treatment of expenditures by establishments not yet in operation. These 

expenditures w ere included for all establishments beginning in 1958 but were not included prior to 1951. For 

the years 1951-57, these expenditures were available 

only at the two-digit SIC level. For these later years, 

ratios were developed at the two-digit level based on 

expenditures for all establishments and expenditures for 

establishments in operation. These ratios were then used 

to increase the expenditure level of each three-digit 

component industry. For the years prior to 1951, the 

census and ASM data were adjusted based on the average adjustment ratios of the 1951-57 investment series for each industry.

In certain industries throughout the time period, there 

were gaps in the data where disclosure rules prevented reporting of the capital expenditures. Where these 

gaps existed, the average of that industry’s share of a 

two-digit industry for the years immediately preceding 

and immediately following the missing year was calculated and assumed to apply to the missing year. This 

share was then applied to the two-digit expenditure series to derive the estimated three-digit data.

Internal Revenue Service

The major sources of investment data for manufacturing industries for the years 1930-46 and for nonmanufacturing industries for the years 1930-74 were two 

publications of the Internal Revenue Service, Statistics

of Income and Source Book of Corporation Income Tax

Returns. These data are not developed specifically for 

the purpose of economic measurement; rather, they are 

a residual product of the enforcement of the tax law. 

As such, they reflect accounting principles and concepts and are the most incompatible of all the data 

sources used in this study. However, they did provide 

a reasonably consistent time series for a large number 

of industries, especially in the early years 1930-46. In 

addition, they were the only source of information for 

many of the nonmanufacturing industries. As such, the 

IRS-based investment expenditure series was used extensively throughout this study both as the actual investment data and as an index to move benchmark data 

available only at infrequent intervals.

Capital expenditure data are not presented explicitly 

in the IRS sources. Balance-sheet data are provided instead, detailing the level of net depreciable assets and 

depreciation. Total investment expenditures are imputed as the sum of the change in end-of-year levels of net 

depreciable assets for two successive years plus the depreciation charged during the year. For example, capital expenditures in 1971 would equal depreciable assets 

at the end of 1971 less depreciable assets at the end of 

1970-equivalent to gross new investment-plus depreciation in 1971-equivalent to replacement investment.

Discussed below are several problems which had to 

be dealt with in order to make the IRS data more comparable with data from other sources. A number of 

these were complicated by the need for two consecutive years o f com parable data to bridge a break or incompatibility in the series. While some of these problems were treated explicitly, others were not. Some 

were overcome through the use of the IRS data as an 

index only.

Industry definitions. The IRS assigns a corporation to 

one of 169 different industries based on the principal 

product of the entire company. In those firms which 

operate subsidiary facilities, the facilities are required 

to file separate tax returns, and the data for each subsidiary are classified according to the principal product 

of the subsidiary. IRS definitions of industries have 

changed twice over the 1930-74 period for which data 

are available. The current industry definitions are based 

on the 1974 Enterprise Standard Industrial Classification (ESIC) developed by the Office of Management 

and Budget. This classification system corresponds to 

the SIC but is used to classify enterprises or companies 

rather than establishments to an industry. The ESIC

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contains several levels of detail corresponding to the 

two-, three-, and four-digit SIC levels.

Prior to 1974, the IRS used its own industry classification, which also contained a hierarchical structure 

of major industries, minor industries, and industry activities which roughly corresponded to the detail of the 

SIC. Calculations by IRS at the major industry (2-digit) 

level indicate that no major breaks exist in the series 

between the IRS-defined industries and the ESIC-defined industries. However, no analysis has been made 

of the continuity of the series at the minor industry and 

industry activity levels of detail. For this study, it was 

assumed that there were no breaks in continuity at these 

levels.

A major break in the IRS series occurred in 1938 

due to a significant expansion of the amount of detail 

reported in the industry balance sheets and the redefinition of many industry activities. Several adjustments 

to the 1930-37 data were required to make them conform with the later data.

Once the industry classifications were reconciled and 

an investment series calculated for the entire 1930-74 

time period, the IRS-defined series was related to SICdefined manufacturing industries in order to develop a 

continuous manufacturing series prior to 1947. Unfortunately, prior to the use of the ESIC, no strict concordance existed between the IRS-defined industries 

and SIC-defined industries. The only solution was to 

allocate the IRS industry activities to an SIC on the 

basis of similarity of name alone. This conversion process is discussed in more detail later in this chapter.

Changing product mix. One major problem encountered when developing the investment series from IRS 

data was that which arose when a change in the mix 

of products produced by firms composed of two or 

more establishments was large enough to change the 

principal product of the entire company. The capital 

expenditures for the w h ole company were then allocated to the new industry. This created apparent changes 

in the year-to-year levels of investment in an industry 

which were greater than the actual changes. Recall that 

the IRS investment series was derived from the change 

in net depreciable assets in two successive years and 

that company-based classification tends to overstate the 

values in the primary product industry and understate 

the values in the secondary product industries. Thus, 

the first year in the calculation of gross investment will 

be overstated in the old industry and understated in the 

new industry, with the reverse pattern occurring in the 

next year. This will create an understatement of the actual change in investment in the old industry and an 

overstatement of the actual change in the new industry. This problem was left unresolved and the user of 

data developed from IRS sources should use the imputed investment data at fine levels of detail with some 

caution.

Asset transfers and revaluations. Use of year-to-year 

balance-sheet data created a second problem-the revaluation of assets which were sold or transferred from 

one company to another. Book values of assets are maintained in a gross depreciable assets account, and depreciation charged against an asset is maintained in an accumulated depreciation account. The two accounts are 

equal only when an asset is fully depreciated. In those 

cases where an asset is disposed of prior to the end of 

its expected useful service life, either by premature 

scrapping or sale to another firm, problems arise in 

comparing the two accounts. For example, if an asset 

is sold and the sales price does not equal the net book 

value of the asset (gross book value less accumulated 

depreciation), then the firm incurs either a capital gain 

or a capital loss on the transaction. If we assume that 

all sales of assets are to firms within the same industry 

group, then the capital gains and losses pose a problem 

in deriving the net investment portion of total capital 

expenditures. For example, assume that a firm owns an 

asset whose net book value is $100, which is sold to 

another firm for $110, yielding a capital gain of $10. 

The effect of this is to reduce the net depreciable assets of the selling firm by $100 and increase the net depreciable assets of the buying firm by $110. However, 

when the data are aggregated for the two firms into 

the same industry group, the transaction yields an increase of $10 in the net depreciable assets of the industry when, in fact, no new capital capacity has been 

added. Following the logic of the above example, we 

had to revise the derived net investment to reduce the 

expenditures by the amount of the net capital gain (total capital gains minus capital losses).

The above problem exists even if sales to firms in 

other industry groups are allowed. However, this poses 

an additional problem-determining what portion of 

gains or losses is attributable to sales of assets to firms 

within the industry group and the portion attributable 

to sales outside the industry. Since no data exist on interindustry sales, we made the simplifying assumption 

that all sales are to firms within the same industry. The 

balance-sheet data available in these sources identify 

both the short- and long-term capital gains adjusted to 

reflect losses of both depreciable and nondepreciable 

assets. Only the capital gains on depreciable assets 

should be eliminated and, for most industries, these gains 

and losses are primarily derived from the sale or scrapping of depreciable capital assets and land. However, 

industries such as banking derive a large share of their 

gains and losses from the sale of nondepreciable assets 

such as corporate stock. For these industries, the derived investment series was used only as an index of 

change, minimizing the effect of capital gains on the 

actual level of capital expenditures. The land portion 

of the total gains had to be eliminated when adjusting 

the imputed investment. No data exist to determine the 

share of total gains accounted for by land sales, and it

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was assumed that the ratio of capital gains on land to 

other capital gains was the same as the ratio of land 

assets to depreciable assets.

Consolidated returns. Prior to 1933, assets of firms reporting on a consolidated or deconsolidated basis are 

indistinguishable in the data. The problem of the proper allocation of assets of multisector corporations between 1930 and 1933 was surmounted by assuming that 

investment relationships in the years with no data breakdowns were similar to those in 1933 and 1934, when 

breakdowns were available.

The first step in adjusting the data was to estimate 

the consolidated firms’ share of total assets in 1930-32. 

These proportions were available for 1933 and 1934 for 

each major industry group and were assumed to apply 

to assets in 1930-32 for corresponding industry groups 

and component minor industries. These ratios were calculated as the weighted average of the 1933 and 1934 

ratios and were applied directly to the investment series calculated in 1930-32. Since a constant ratio was 

used throughout the series, direct adjustment of the imputed investment yielded the same result as investment 

imputed from adjusted asset data.

Once the overall values of the consolidated firms 

were established for each industry, they had to be adjusted to allocate the expenditures to other industry 

groups based on the consolidated/ deconsolidated data 

available in the 1934 report. Ratios were calculated relating the asset values of an industry reporting on a 

consolidated basis to the asset values of the industry 

reporting on the deconsolidated basis. These ratios were 

then applied directly to the 1930-33 estimated or reported investment data for the consolidated firms, thus 

reallocating the expenditure data to the proper major 

industry groups.

Due to the lack of detail, the adjustments to minor 

industry groups were assumed to be proportional to the 

adjustments for the corresponding major industries in 

each year. The adjusted investment of consolidated 

firms was added to deconsolidated investment in each 

year to yield an adjusted total for each industry. A ratio 

was calculated between the adjusted and unadjusted totals which was used to scale the component minor industries in order to sum to the adjusted total.

Depletion allowances. Depletion allowances included 

with depreciation in the years 1930-54 tended to overstate the investment expenditures in depreciable assets. 

No detail was available to distinguish the depletion 

charges, but, for a majority of industries, these charges 

were insignificant. In addition, where the imputed investment series was used as an index, these charges 

would be minimized since the benchmark of the index 

would not include depletion. In those industries where 

depletion was significant, such as mining or petroleum

refining, depletion or investment data were developed 

from other sources.

Land and intangible assets. Prior to 1938, land was included with depreciable assets. Since it was not feasible to separate the land portion, it was assumed that 

land was a constant portion of total assets based on the 

distribution in 1938. In the cases where IRS data were 

used as an index, the adjustment to exclude land was 

ignored for all years except 1938 since the constant adjustment factor had no effect on the calculation of the 

index. Data for 1938 had to be calculated both with 

and without land values to calculate the 1938 and 1939 

investment expenditures. Fortunately, 1938 data distinguished between land and depreciable assets, allowing 

the presentation of the data in both forms.

A similar process was used to adjust the data between 

1939 and 1953 for the inclusion of intangible assets such 

as copyrights, patents, and goodwill. Intangibles were 

also assumed to be a constant proportion of assets and 

thus fell out of the series when used as an index for all 

years except 1939 and 1953, when the data had to be 

calculated both with and without intangibles in order 

to maintain comparability.

Noncorporate investment share. An additional adjustment was required to include the noncorporate share 

of investment for each industry. This adjustment was 

necessary only when the IRS data were used as the expenditure series and not as an index of change. The adjustment was made based on the ratio of total depreciation in an industry to depreciation charged by the corporate portion of that industry. Annual depreciation 

data were taken from unpublished tabulations by BEA 

for the years 1946-74 and from the National Income 

and Product Accounts for the years 1929-45. The calculated ratio for 1929 was used for all years prior to 

1929.

Conversion to SIC. To this point, the described calculations were used to develop a consistent series based 

on IRS industry classifications. The manufacturing series then had to be converted to the common SIC base 

used throughout the time series. In general, conversion 

to the SIC was not required for nonmanufacturing industries since these industries are classified in broad 

groups which are readily defined by aggregating groups 

of IRS industries. In converting the manufacturing series, 1947 was chosen as the bridge year, since maximum detail was available both in the IRS and census 

data. As previously noted, no cross-references of 

IRS/census industries were available and the adjustment was made solely on the similarity of industry titles.

With the exception of several textile industries, the 

procedure followed was to take the four-digit SIC investment data and group them in an IRS minor (3-digit)

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industry according to IRS definitions of industrial activities in the minor industry. The expenditure data were 

then summed to derive a proxy minor industry total. 

Each four-digit industry’s share of the total was then 

calculated and used as a weight to allocate the actual 

minor industry investment to the four-digit SIC codes. 

For the cotton-, rayon-, and silk-textile industries, the 

1947 Census and SIC did not make a sufficient distinction. Therefore, these industries were converted to the 

1947 SIC using proportions derived from the 1939 census and the 1939-47 ratios previously discussed.

The final step was to reclassify the IRS series (now 

in 1947 SIC terms) into successive SIC codes until all 

industries were classified in 1972 SIC terms. However, 

this adjustment process yielded negative investment expenditures in several years, notably in the 1930’s. While 

negative investment could possibly occur due to major 

asset devaluation or extensive shifts of firms to other 

industries, the magnitude of negative expenditures ruled 

out these explanations as plausible. True expenditures 

were instead estimated for the negative years by comparing industry investment in the nearest 3 positive 

years to the total expenditures in those years for all 

manufacturing industries (as published by BEA) and assuming that an industry’s investment in the negative 

year was the same proportion of total manufacturing 

investment as it was during those 3 years.

Plant vs. equipment. Once the previous adjustment was 

made, the data could then be reconciled to the census 

investment data and distributed between plant and 

equipment. To make the reconciliation, it was assumed 

that the ratio of total investment to an industry’s investment in IRS terms was the same as the corresponding ratio in SIC terms, as expressed by the following 

equation:

IR S (to ta l) = S lC (to ta l)

IR S(in d u stry) S lC (ind ustry)

In the above ratio, three of the four terms are known 

and industry investment in SIC terms (SIC (industry)) 

can be calculated. These ratios were calculated for years 

when the census data were available. Pre-1939 data 

were calculated using the 1939 ratio. Data for the years 

between censuses were calculated based on ratios which 

were linearly interpolated between the census benchmark years. The census data include the distinction between plant and equipment which was used in calculating the ratios. The IRS-based series was also broken 

into the component parts by the benchmarking process. However, rather than use this process for the years 

1930-38 when a great fluctuation in investment patterns 

occurred due to depressed economic conditions, it was 

assumed that the average ratio of plant to equipment 

expenditures for the years 1947-66 would serve as a 

proxy distribution. While this proxy is crude at best, it 

was felt to be more reliable than the fragmentary observations available during this time period. Fortunately, these data tended to have a minimum impact on the 

estimated stocks in the later years.

Chawner and Gort/Boddy series

The Chawner series on capital expenditures for manufacturing industries consists of three articles published 

in the Survey of Current Business in 1941 and 19424. In 

these, Chawner detailed the capital expenditures in plant 

and equipment assets for total manufacturing for the 

years 1915-40 and presented total capital expenditures 

for 12 two-digit industries for the years 1919-40.

Estimates for total manufacturing were based on the 

value of production reported in the census years from 

1919 to 1939 for approximately 65 major groups of industrial machinery and equipment used for manufacturing purposes. The data were supplemented from other 

sources. The estimates were adjusted for gross exports, 

changes in inventories, and transportation and trade 

margins. The estimates for investment in structures were 

based on reports of contract awards compiled by the

F.W. Dodge Corporation, adjusted to cover the entire 

United States, and other miscellaneous sources.

Data for the 12 manufacturing industries were derived from gross changes in physical capacity multiplied 

by appropriate indexes of construction costs, or on a 

series based on annual expenditures for factory building, plus estimates of the annual production of industrial machinery, allocated to the 12 industries using various sources of information. The data were then benchmarked to the 1939 census.

Another study of capital expenditures, by Michael 

Gort and Raymond Boddy5, provided estimates for 16 

of the 21 two-digit manufacturing industries for the 

years 1921-63. These data were derived from IRS 

sources and converted to the 1945 SIC for manufacturing industries. Since these data were most compatible 

with the IRS data of later years, the maximum detail 

of the Gort/Boddy study was used as the basic data 

source for this time period. The 16 Gort/Boddy series 

were supplemented by 2 of the series from the Chawner 

study. Investment in 2 of the remaining 3 industriesscientific instruments and miscellaneous manufacturingwas estimated based on the output of investment goods 

primarily used by these industries. The scientific instruments series was developed based on 2 other industriesmachinery except electrical, and electrical industriesmachinery. The miscellaneous manufacturing series was 

assumed to be representative of all manufacturing processes, and the change in all 18 industries was used to

4 Lowell Chawner, “Capital Expenditures for Manufacturing Plant

and Equipment-1915 to 1940”, Mar. 1941, pp. 9-15; “Capital Expenditures in Selected Manufacturing Industries”, Dec. 1941, pp. 19-26;

“Capital Expenditures in Selected Manufacturing Industries - Part

II”, May 1941, pp. 14-23.

5 M. Gort and R. Boddy, Capital Measures and Production Relations

(unpublished).

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develop these data. The ordnance industry was assumed 

to be unique; no other 2-digit industry or combination 

provided reliable proxy estimates for this industry. 

Therefore, a continuous value-added series was developed based on the firearm, ammunition, and explosives 

industries available from the biennial Census of Manufactures of that time period and used as a proxy for this 

series. Data for the missing years were derived by interpolating the data of the successive pairs of preceding and following years.

Wartime agencies, 1940-45

Annual investment statistics were collected and recorded for the period July 1940-June 1945 by the War 

Production Board and the Civilian Production Administration (collectively referred to as the WPB). Capital 

expenditures during this period required public authorization under various regulations; the data produced in 

the enforcement of these regulations are the most accurate available from any source. These data were compiled in a unique industrial classification designed to 

emphasize war product industries and are roughly at 

the two-digit SIC level of detail. In order to take advantage of this series, equivalent IRS industries (expressed in SIC terms) were developed and scaled to 

WPB totals. However, before the IRS data could be 

adjusted, certain data gaps required estimation.

The WPB data for nonfederally financed investment 

detail only expenditures of $25,000 or more. Total investment by all industries in assets costing less than 

$25,000 is available and was assumed to be distributed 

to each WPB industry in the same proportion as expenditures for the larger capital goods. Expenditures 

for capital which was privately owned but federally financed are also available for each industry but only as 

a total for the 5-year period. It was assumed that these 

expenditures were distributed over the time period in 

the same annual proportion as the privately financed 

investment goods. The final adjustment was to scale the 

annual investment to the manufacturing control total 

published by BEA for each year. This scaling adjustment also effectively estimated the missing investment 

in the first half of 1940 and the last half of 1945.

The final step involved adjusting the IRS data to 

conform with the adjusted WPB data. The WPB statistics defined ten industry groups, nine producers of 

war materials and a residual group encompassing all 

other manufacturing industries. None of the WPB industries were defined in terms of SIC or IRS industries. 

Rather, IRS industries were assigned to a WPB industry group on the basis of title alone. Sufficient data were 

available at this point to split four of the WPB industries into an additional four industries by assuming that 

the plant-to-equipment ratio of each component industry was constant over the entire period and applying 

this ratio to the annual data in the corresponding WPB 

industry. Thus, 14 WPB industries were defined, each

with IRS industry components. Ratios were calculated 

from the WPB industry total to the sum of IRS component industries in each WPB industry and were used 

to scale the IRS components to sum to the WPB total. 

The WPB data differentiated between plant and equipment assets, and this ratio was used to break out the 

IRS total investment into the plant and equipment parts 

as the data were scaled.

BEA/SEC Survey

BEA and the Securities and Exchange Commission 

(SEC) conduct a quarterly survey of a sample of manufacturing and nonmanufacturing industries6. The survey details capital expenditures for 28 manufacturing 

industries and 14 nonmanufacturing industries. Companies (generally on a fully consolidated basis) rather than 

establishments are classified to an industry based on the 

SIC of the primary activity of the company; the company’s entire capital expenditures are included in the 

specified industry. Thus, there is a significantly greater 

chance for expenditures of one industry to be included 

in another industry’s total. In addition, expenditures for 

manufacturing industries with nonmanufacturing subsidiaries are classified entirely by the manufacturing primary activity, yielding large distortions at the sector 

level as well as the industry level. Comparisons by BEA 

between the survey results and the Census of Manufactures in 1963 revealed an overstatement of capital expenditures as derived from the survey for total manufacturing of 46 percent.

Given the above discrepancies, the data derived from 

this survey were generally found to be unacceptable 

for developing the establishment-based investment series. However, these series were useful in developing 

the capital expenditures series for certain industries 

where little or no difference exists between classifications based on company data and those based on establishment data.

BEA capital stock studies

BEA conducts periodic studies of capital stocks similar to this study7. However, the BEA studies are directed more towards deriving capital stocks expressed 

in economic or market values for the major sectors of 

the economy and for specific types of capital goods 

across all industries. Therefore, their capital stock data 

are not directly comparable to the data developed in 

this study (see chapter 5). However, the investment series used by BEA does provide a useful control total 

for the corresponding sector totals of this study.

The gross investment data used by BEA are derived

6 A discussion of the BEA /SEC survey may be found in “New Estimates of Fixed Business Capital in the United States, 1925-65”, Survey o f Current Business, Dec. 1966, pp. 34-40, and “Revised Estimates

of New Plant and Equipment Expenditures in the United States, 1947-

69: Part I”, Survey of Current Business, Jan. 1970, pp. 25-37.

1 Fixed Capital, 1925-75.

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from the National Income and Product Accounts which 

in turn are derived from various surveys developed by 

the Bureau of the Census. One slight modification is 

made to the NIA investment data to adjust for the sale 

of second-hand assets by businesses to foreigners. The 

gross investment data are broken into agriculture and 

manufacturing sectors using sector totals derived from 

the Department of Agriculture and the Censuses and, 

Annual Surveys of Manufactures, respectively. The residual amount is classified to the nonmanufacturing excluding agriculture sector. The BEA manufacturing series was used as a benchmark for the manufacturing series developed in this study for the years prior to 1947 

and for 1948. The data for the years 1947 and 1949-74 

are not benchmarked to the BEA series since census 

control totals are available for these years.

Several definitional inconsistencies exist between the 

BEA series and the census series. Notably, BEA totals 

include purchases of government surplus assets, passenger autos owned by households that are used for business purposes, and the capitalized trade margins on purchases of used equipment assets. Most purchases of government assets are included in a separate series in this 

study. However, data on the other two adjustments 

were not available at the SIC level of detail and any 

scaling to the BEA total to account for these adjustments would not have measurably improved the capital stock estimates. Thus the manufacturing data after 

1946 were controlled to the available census totals.

For the period 1890-1920, the BEA structures investment total was used as the control for estimating industry investment data. No industry detail was available 

for this time period, either from IRS or the Chawner 

series. In view of this, it was assumed that the capital 

expenditures exhibited the same pattern as that exhibited during the entire 1921-29 period.

These capital expenditures were estimated in a twostep process. First, total BEA plant expenditures were 

allocated to two-digit industries based on the ratio of 

total investment (1921-29) to component two-digit investment during the same period. Second, data were 

allocated to the three-digit level by taking the component three-digit industry’s share of the previously estimated two-digit total. While this process forces the investment pattern of the 1920’s onto the previous 30 

years, the impact of these expenditures was negligible 

since most of these assets were fully depreciated by 

1947.

Capital transactions matrices

BEA has developed a series of tables for 1963 and

1967 which detail the sales of various types of producers’ durable equipment (PDE) and structures to the industry using these capital assets8. These tables are basically a disaggregation of the gross private domestic investment (GPDI) column of final demand in the inputoutput tables developed for these years. Data are developed showing the flow of up to 506 different product codes to the 76 private business sector industries 

using these capital goods. The sales or use of the capital goods are developed from a variety of sources, some 

of which depart from the ownership basis of capital expenditures used in the various census sources. Other 

departures from the census concept include rentals of 

identifiable capital goods, inclusion of central administrative offices and auxiliary units, use of personal autos 

for business purposes, and the purchases of equipment 

rebuilt by the original manufacturer.

These tables were collapsed in this study to identify 

22 types of equipment goods corresponding to the 22 

types of PDE goods in the National Income Accounts 

and 18 categories of structures corresponding to the 18 

types of nonresidential structures defined in the BEA 

I/O tables. These data were summed to derive total investment for each of the 76 industries and were converted to a distribution for use in the asset-weight series described in chapter 3. The total investment series 

was used as a benchmark for selected nonmanufacturing industries where more reliable data were not available. The IRS-derived investment series was scaled to 

the total investment series and broken into plant and 

equipment components based on the distribution of these 

assets in these two years.

A third capital flows table was prepared for 1958 by 

BLS9. This table initially was developed using a methodology different from that for BEA’s later tables. A 

later revision by BLS attempted to conform to BEA 

conventions but, due to the lack of sufficient detail in 

the 1958 I/O table and other supporting data, the distribution of asset purchases in the revised 1958 table 

yielded inconsistencies in many industries when compared with the 1963 and 1967 tables. Therefore, only 

the total investment data derived from the 1958 table 

and the break between plant and equipment were used, 

specifically as a third benchmark for adjusting IRS-derived investment data.

8 Interindustry Transactions in New Structures and Equipment, 1963

and 1967, BEA SUP-75-07 (U. S. Department of Commerce, Bureau

of Economic Analysis, 1975).

9 Capital Flow Matrix, 1958. Bulletin 1601 (Bureau of Labor Statistics, 1968.

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Chapter 3. Asset Weights,

Service Lives, and Gross

Investment Deflators

Asset Weights

Chapter 2 presented the general requirements for developing the investment data for structures and equipment. These data represent a bundle of different types 

of assets, each with its own attributes, including differences in expected service life. If a capital stock series 

is estimated ignoring the differences in service lives of 

actual assets purchased, then large distortions may be 

introduced, particularly when interindustry comparisons are made, since the level of capital stock is directly related to the length of time assets are included in 

the stock. An ideal approach is to develop investment 

data for each type of capital good purchased by an industry, calculate a capital stock series for these goods, 

and develop an aggregate measure from this detail. 

However, very little information exists concerning the 

detailed purchases of capital goods by type and developing a time series of sufficient length to use in the perpetual inventory model would prove to be a burdensome task.

Fortunately, information is available on the asset composition of the plant and equipment bundles for three 

specific years: 1958, 1963, and 1967. These data are in 

the form of the previously mentioned capital flows tables (transactions matrices) developed by BLS and 

BE A10 1. These tables detail the purchases or use of different types of equipment and plant assets for the 77 

private sector industries defined in the BEA input-output tables for those years. For this study, equipment 

items were grouped into 22 broad categories consistent 

with the producers’ durable equipment production series available in the National Income and Product Accounts". The 18 categories into which structures were 

divided provided more than sufficient detail for this 

study and were left intact. Comparisons of the three 

tables indicated fairly strong movements in the distri10 Capital Flow Matrix, 1958, and Interindustry Transactions, 1963 and

1967.

11 Data for the National Income and Product Accounts are presented in various monthly issues of the Survey o f Current Business. These

data are compiled periodically in a reference volume, the latest of

which is The National Income and Product Accounts o f the United

States, 1929-74: Statistical Tables. Capital expenditures for equipment

may be found in tables 5.6 and 5.7.

bution of asset purchases for certain industries, especially between 1958 and 1963. Since the 1958 table was 

based on less comprehensive data and different techniques than the 1963 and 1967 tables, it was assumed that 

the change in the distribution from 1958 to 1963 was 

caused primarily by a change in estimating techniques 

and not by a change in the actual distribution of purchases. Therefore, the 1958 table was eliminated as an 

indicator of asset distributions.

It was then assumed that the remaining asset distributions were a reasonable representation of the distribution of asset purchases for all years. While this assumption is obviously weak, especially for years far 

away from 1963 and 1967, it was made for the lack of 

any more specific data for other years. The final distribution of asset weights was assumed to be the weighted average of the asset weights for each of the two 

years for each I/O industry.

A further assumption was that component three- and 

four-digit industries within each I/O industry also had 

the same weight distribution. This industry-weight series was then used to develop the asset deflator series 

and, in combination with the service life series, the two 

replacement functions used in the calculation of the 

gross and net stock series.

Asset Service Lives

The most useful source of service lives consistent 

with the concepts required by this study is the BEA 

capital stocks study12, which was based on IRS Bulletin F 13 and data from the Agriculture Department on 

the lives of farm assets. Bulletin F provided service 

lives for a detailed list of equipment and structure types. 

These lives were aggregated by BEA to 20 different 

equipment categories and 11 structure categories by 

weighting the specific IRS types by the value of shipments of these goods and allocating the weighted life 

to the BEA category. However, subsequent revisions 

of the IRS depreciation guidelines and other evidence

12Fixed Capital, 1925-75.

13 Income Tax, Depreciation and Obsolescence, Estimated Useful Lives

and Depreciation Rates, IRS Bulletin F (Rev. January 1942).

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suggest that the Bulletin F lives were too long, especially for structures where the Bulletin F lives were 

based only on new construction and did not include 

shorter lived alterations and additions. In light of this, 

BEA revised the service lives of its categories downward to reflect the new guidelines. The final BEA lives 

are:

Equipment: Bulletin F less 15 percent.

Structures: Manufacturing—Bulletin F less 32 

percent.

Nonmanufacturing—Bulletin F less 21 

percent.

Agriculture—38 years.

The final lives used in this study were based on the 

BEA data with a few minor adjustments. These service lives were used along with the asset weights to develop the discard and decay functions described in the 

following chapter. For a number of asset types, more 

detail existed in the asset-weight series than in the service life series. For those types of goods where no lives 

were available, it was assumed that the life of the less 

detailed BEA types applied to the more detailed national income types. For example, the equipment bundle in this study includes three types of electrical equipment. The assumed service lives of these three asset 

types were the same as the one electrical machinery 

category presented by BEA. A second adjustment was 

made to the BEA lives of equipment and structures 

purchased by transportation industries. These data were 

based on a previous study by Jack Faucett Associates14 

for the Department of Transportation and are detailed 

separately below. Included in the transportation equipment revision was a lowering of the BEA service life 

for motor vehicles purchased by all industries. Table 3 

details the general service lives assumed for this study. 

Table 4 details the specific lives used for the transportation industries.

Gross Investment Deflators

Capital stock data may be developed using any of 

three different methods of pricing. Stocks measured in 

historical dollars represent the accumulated value of 

capital assets based on their original acquisition costs. 

These are the results of direct calculation of the stocks 

using the historical-dollar investment series. Stocks 

measured in current dollars reflect the value at which 

assets were acquired over time converted to the current year’s prices, i.e., the price level in the year for

14 Capital Stocks Measures for Transportation: A Study in Five Volumes, Jack Faucett Associates for the U.S. Dept, of Transportation

(December 1974).

which the data are shown. These figures are used as an 

approximate measure of the replacement costs of capital. The third measure of stocks is expressed in constant 

dollars - the value of assets is adjusted to remove the 

effect of price changes relative to a given base year. 

These data most accurately reflect the actual change in 

the quantity or efficiency of capital over time. The capital stock and related time series presented in this bulletin are calculated in both historical dollars and constant dollars with a 1972 base year.

Separate and unique price deflators to convert the 

historical-dollar investment series into constant dollars 

were developed for each industry. These deflators were 

derived from price indexes for specific types of equipment and structures obtained from the National Income 

and Product Accounts15. The equipment deflators detailed 22 specific types of equipment corresponding to 

the 22 types of equipment assets in the asset bundle. 

These data were available for the years 1929-74. Deflator data for the time period 1921-28 were derived from 

the BEA capital stocks study which detailed 20 types 

of equipment assets. Where more detail existed in the 

National Accounts series, it was assumed that the overall BEA deflator was applicable to the detailed parts.

The National Income and Product Accounts detailed 

deflators for 12 specific types of structures for the years 

1929-74. In order to develop the additional structures 

detail required for this study, it was assumed that the 

deflator for each of the four types of commercial buildings in this study corresponded to the overall commercial deflator, and the four institutional and other structures categories corresponded to the National Accounts 

institutional and other category. These data were supplemented by deflator data from the BEA study to provide a continuous deflator series from 1890 to 1974.

Once the price indexes for asset types were developed, specific industry gross investment deflators were 

obtained by weighting each asset price index by the 

corresponding weight of that asset in the industry’s investment bundle. The sum of the weighted indexes 

yielded a composite deflator which accurately reflected the mix of assets purchased by an industry.

The transportation industries were special cases since 

neither their service lives nor their weights corresponded to similar series for other industries. This required 

development of a special deflator series for each transportation industry. The structures deflators used were 

various indexes from the National Accounts. The equipment series was developed using weighted price indexes from the National Accounts. Table 5 presents the 

deflator series and weights used for each transportation 

industry.

15 National Income and Product Accounts, table 7.14.

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Table 3. Average service lives of equipment and structures

Type of asset Life

(years) Type of asset Life

(years)

Equipment Structures

F u rn itu re............................................................................................... 15 Industrial b u ild in g s........................................................................... 27

Fabricated metal products ............................................................ 18 Office buildings................................................................................... 36

Engines and turbines..................................................................... 21 W arehouses.......................................................................................... 36

8 36

Farm machinery except tractors.................................................... 17 Stores and restaurants........................................................................ 36

Construction machinery except tractors..................................... 9 Religious buildings.............................................................................. 48

Mining and oil field m achinery....................................................... 10 Education buildings........................................................................... 48

Metalworking m ach inery................................................................. 16 Hospital b u ild in g s .............................................................................. 48

16 31

14 27

Office, accounting, and computing machinery ...................... 8 Railroads............................................................................................... (3)

Service industry m achines............................................................... 10 Electric u tilitie s ................................................................................... 30

14 30

Communication eq u ip m e n t............................................................ 14 Petroleum pipelines........................................................................... (3)

Other electric equipment, not elsewhere classified................. 14 F a r m ....................................................................................................... 38

Trucks, buses, and tra ile rs .............................................................. 1 6.8 Oil and gas wells ................................................................................ 16

A utos...................................................................................................... Oil and gas well exploration............................................................ 16

29 31

Ships and b o a ts ..................................................................................

2 22

Railroad equipm ent........................................................................... 2 25

Instrum ents.......................................................................................... 11

Other eq u ip m e n t................................................................................ 11

1 Changed from BEA assumption of 9 years.

2 For equipment in transportation industries, see table 4.

3 See table 4.

Table 4. Service life assumptions for transportation industries

Transportation mode

Service

life

(years)

Asset

weight

(percent)

Transportation mode

Service

life

(years)

Asset

weight

(percent)

Railroads: Domestic air:

58 1 00 Structures ..................................................... 25 100

Equipment: Equipment:

Locomotives ................................. 21.6 33.3 Flight equipment:

Work equipm ent........................... 28.9 2.0 Turbo-fan ......................... 1 5.0 75.7

Passenger cars................................. 30.5 10.6 Turbo-jetand turbo-prop:

Freight cars..................................... 31.7 52.6 4-engine ............... 14.0 5.1

37 5 1 0 11.5 5.9

Other e q u ip m e n t......................... 8.3 .5 Piston ................................ 10.0 2.5

W ide-bo dy......................... 17.0 2.8

Commercial trucking: Ground equipment .................... 8.8 8.0

Structures .................................................. 46 100

Equipm ent: International air:

Trucks ............................................. 10.0 92 S tructures..................................................... 25 100

Other e q u ip m e n t......................... 11.1 8 Equipment:

Flight equipment:

Intercity bus: Turbo-fan ......................... 15.0 75.7

S tructures.................................................... 58 100 Turbo-jet and turbo-prop:

E q u ip m e n t.................................................. 15 100 4-engine ............... 14.0 5.1

2-engine ............... 11.5 5.9

Local bus: Piston ................................. 10.0 2.5

S tructures..................................................... 58 100 W ide-bo dy......................... 17.0 2.8

E q u ip m e n t.................................................. 20 100 Ground eq u ip m en t...................... 8.8 8.0

Pipelines: Water:

Structures: S tructures..................................................... 58 100

Gathering lin e s .............................. 30 15.9 E q u ip m e n t.................................................. 26 100

Main lin es........................................ 32 80.2

Fuel tanks........................................ 40 3.3 Freight forwarders:

45 .6 30 100

Equipment: E q u ip m e n t.................................................. 8 100

Trucks ............................................. 5 20.2

Communication equipment . . . 25 79.8 Taxicabs:

S tructures..................................................... (1) (1)

E q u ip m e n t.................................................. 3 100

1 No investment in structures.

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Table 5. Transportation industry deflators by type and source

Transportation mode National accounts

price index1

Weight

(percent) Transportation mode National accounts

price index1

Weight

(percent)

Railroads: Domestic a ir: '

100 1 00

Equipment............ Railroad equipment 100 E q u ip m e n t.......... Aircraft 94

Trucks and buses 2.3

Commercial trucking: Furniture .5

S tructures............ Industrial 100 Office equipment .5

E q u ip m e n t.......... Trucks and buses 92 Fabricated metal products 2.7

General industrial equipment 8

International air;

Intercity bus: S tructures............. Commercial 100

S tructures............ Industrial 100 E q u ip m e n t.......... Aircraft 94

E q u ip m e n t.......... Trucks and buses 100 Trucks and buses 2.3

Furniture .5

Local bus: Office equipment .5

S tructures............. Industrial 100 Fabricated metal products 2.7

E q u ip m e n t.......... Trucks and buses 100

Water:

Pipelines: S tructures............ Industrial 100

S tructures............ Pipelines 100 E q u ip m e n t.......... Ships and boats 100

E q u ip m e n t.......... Engines and turbines 41

Electrical machinery 46.2 Freight forwarders:

Tractors 6.4 S tructures............. Commercial 100

Trucks and buses 6.4 E q u ip m e n t.......... Trucks and buses 66.5

Furniture 16.75

Office equipment 16.75

Taxicabs:

Structures............. (2) (2)

E q u ip m e n t.......... Automobiles 100

1 National income and product accounts: Structures, table 7.13; 2 No investment in structures,

equipment, table 7.14.

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Chapter 4. Time Paths of

Discards and Depreciation

This chapter describes the model which incorporates 

actual asset service lives and changes in the efficiency 

of assets as they age to develop time paths of discards 

and depreciation. Two basic relationships are coverd 

here: The discard pattern of a group of assets over time, 

and the depreciation function (which includes both the 

discard pattern and changes in the productivity of a 

group of capital assets over time). These relationships 

correspond to the second and third steps in the estimation process described in chapter 1.

Discard Pattern

The second major step, once the annual investment 

series was derived, was to determine the length of time 

an asset is available for production once it is purchased. 

The simple model illustrated in chapter 1 assumed that 

the service lives of all assets were the same, that is, 

there was no variation in the service lives due to quality differences, differences in types of assets, chance, 

etc.

If we assume now that the asset bundle is composed 

of several different asset types, each with variations in 

their expected service lives, then there is a whole series of points over the entire life of the asset bundle at 

which assets with progressively longer lives are 

scrapped. These discard points may be expressed as a 

function based on the percentage of the original investment bundle remaining n years after the original investment date. The value of this function will be 100 percent up to the point where the shortest lived asset is 

discarded. It will then decline to 100 less the percent 

of the original investment composed of the shortest 

lived asset. As time progresses, the discard function is 

further reduced as more and more assets are discarded. 

Chart 1 illustrates a simple discard function for an industry which buys five types of assets, each constituting 20 percent of total investment purchases. The shortest lived asset is discarded after 5 years and the longest after 25 years; the rest of the assets reach the end 

of their service lives at 5-year intervals between 5 and 

25 years. The function shown assumes that there is no 

difference in the service lives of a particular type of 

asset.

A second cause for the variation in the pattern of 

discards is variation within one specific asset type. For

Chart 1. Simple discard function for five assets

with service lives ranging from 5 to 25 years

Percent of assets available

for production

example, two ostensibly identical machines may not 

have the same actual service life due to differences in 

usage, quality of components, maintenance and repair 

patterns, or simply chance variation. Any service life 

chosen for a particular type of asset is in reality an average-50 percent of the assets of that type will be discarded sooner and 50 percent will be discarded later 

than the average. Thus, there is a distribution of actual 

discards centered on the mean service life. However, 

very little data exist on the form of the distribution 

around the mean service life. The only study available 

was conducted by Winfrey16 during the 1930’s detailing 

the actual service lives of a group of assets in use during that time period. Winfrey’s S-3 distribution had a 

bell-shaped appearance somewhat akin to the normal

16 R. Winfrey, Statistical Analysis o f Industrial Property Retirement,

Bulletin 125 (Iowa Engineering Experiment Station, 1935).

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distribution. No rigorous tests were performed to determine if this distribution was in fact a normal distribution, but, based on this admittedly sparse evidence, 

it is assumed that there exists a normal distribution about 

the mean life of a particular type of asset. This assumption is used mostly for convenience since tables of values for the normal distribution are readily available.

The assumption of a normal distribution says nothing about the dispersion or standard deviation of the 

distribution about the mean. For example, one could 

assume a very narrow, almost spiked, distribution having a small standard deviation. This would create a narrow boundary within which the assets would be discarded. Conversely, one could assume a broad-based 

distribution with a large standard deviation. This will 

yield a discard range over a long time interval, possibly too long for effective use with the perpetual inventory process. Similar studies using the Winfrey distribution17 assume that bounds exist on either side of the 

mean which effectively establish a discard range with 

endpoints at 45 and 155 percent of the mean life. For 

this study, it is assumed that the bounds of the discard 

range are 50 and 150 percent of the mean life. An additional assumption is that the standard deviation of the 

normal distribution is 25 percent of the mean life. Thus, 

the discard range encompasses two standard deviations 

of the normal or approximately 95 percent of the area 

under the normal distribution18.

One problem arises when restricting the discard range 

to two standard deviations about the mean. The normal distribution is a continuous function which extends 

infinitely in both directions from the mean. As previously noted, two standard deviations account for approximately 95 percent of the area under the distribution. The remaining 5 percent falls outside the discard 

range, with 2-1/2 percent of the distribution lying in 

each of the tails. In addition, a portion of the left tail 

falls outside the logical range of the actual distribution 

of discards. That is, it implies that there is a small 

amount of scrapping before the initial investment date. 

This is illustrated by the area to the left of 0 in chart 

2.

In order to restrict the discards to the actual desired 

range (between 5 and 15 years in this illustration), the 

normal distribution must be adjusted or truncated to 

eliminate the area under the tails. This will involve adjusting the values of the normal upward in the allowed 

range and eliminating values for time periods outside 

the allowed range. The truncation process may be performed in two ways. The first method is vertical truncation, which cuts the function vertically at the two 

endpoints of the discard interval. The area within the 

allowed range is then adjusted upwards by the ratio of 

the total area under the normal curve to the area un17Fixed Capital, 1925-75.

18 As derived from a table of normal values.

der the truncated distribution. In our example, this is 

approximately equal to the ratio 100/95.

The second adjustment process is to truncate the normal horizontally by raising the X-axis to X’ and eliminating all of the area under the normal that also falls 

under X’. The values of the remaining distribution are 

then adjusted upwards, as in the vertical technique, by 

the ratio of the total area to the adjusted area. In this 

case, the area eliminated from the normal distribution 

is significantly greater than the area eliminated using 

the vertical process, resulting in a correspondingly 

larger adjustment factor. The major difference between 

these two processes is the relative weight in the final 

distributions. Vertical truncation tends to create a function weighted more towards the tails, whereas horizontal truncation tends to create a function weighted more 

towards the center of the distribution. For this study, 

vertical truncation was used to maintain a flatter distribution of discards throughout the entire discard range.

The above discussion detailed the variation in service lives over the life of a single type of asset. This variation about the mean service life is also evident in the 

aggregate discard function (the function that describes 

all assets in the investment bundle). That is illustrated 

in chart 3 where the new discard function allowing for 

variation in the actual service lives is plotted along with 

the fixed-life discard function from chart 1.

As can be seen, there is a general smoothing of the 

function away from the original stair-step. However, 

the new discard function is still not continuous; it displays bumps and valleys corresponding to points in time 

where the combination of discards of the specific asset 

types is either above or below some average discard 

rate. Also note that the discard interval for the entire 

asset bundle has been lengthened from an initial range 

of 5 to 25 years to a new range of 2-1/2 to 37-1/2 years

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Chart 3. Alternative discard functions for five

assets with service lives ranging from 5 to 25

years

Percent of assets

available for production

Age of asset

corresponding to the distribution of discards around the 

shortest and longest lived assets, respectively.

Depreciation Function

Concept of efficiency depreciation

The previous discussion of the discard function assumed that assets are fully productive throughout their 

useful service lives, at which point they simply fall 

apart. This form of depreciation is commonly referred 

to as ‘one-hoss shay’ depreciation19. However, assets (especially equipment) do deteriorate over time and require more resources— labor, materials, maintenance 

and repair, etc.— in order to maintain the same output of 

the assets as when new. This concept is commonly called 

depreciation but is in many cases confused with economic or accounting forms of depreciation. For the 

purposes of this study, it was desirable to develop a 

measure of capital which accurately reflected the decline in the ability of capital to produce goods and services; i.e., depreciation defined as the decline in the potential productivity or efficiency of capital. Other models of depreciation such as tax depreciation or change 

in market value are not directly applicable to this study 

but are useful for other purposes such as rate-of-return 

studies or investment demand analyses. Unfortunately, 

much of the literature in this area uses many of these 

terms interchangeably, with much confusion on the part

of both writers and readers concerning what is being 

measured.

An example may prove useful in illustrating many of 

these different concepts. For consistency, we shall follow much of the terminology and examples used by 

Coen20 and Feldstein and Rothschild21. Suppose that we 

own a single asset, a light bulb, from which we expect 

to derive output (illumination) over a given time period, say, 1,000 hours, and that the cost of the bulb when 

new was $1. After the first 100 hours of use, nine-tenths 

of the expected useful service of the bulb remains. We 

now raise the question of the amount of depreciation 

during this time period. If we are interested in efficiency depreciation, then we are not able to determine if 

any decline of productivity has taken place from the 

limited amount of data we have available. However, 

we may assume that, if the bulb continues to burn as 

brightly as when new, there has been no decline in output and consequently no decline in efficiency. At the 

same time, economic or market depreciation has occurred, since after 100 hours of operation the bulb is 

worth less to us than when new because the expected 

service life has been reduced by one-tenth. Assuming 

a discount rate of zero, the bulb is now worth only 90 

cents, or, put another way, the bulb has been subject 

to economic depreciation equal to 10 cents.

Now suppose that after 500 hours of operation the 

bulb is still burning but not as brightly as when new. 

There is an obvious decline in the output of the bulb,

i.e., a decline in the efficiency of the bulb in producing 

a specified amount of light. At the same time, economic depreciation has occurred due to both a decrease in

19 The term ‘one-hoss shay’ is derived from a poem written by Oliver

Wendell Holmes entitled “The Deacon’s Masterpiece or, The Wonderful ‘One-Hoss Shay’”. The portion concerning the shay’s depreciation is reproduced here for the reader’s enjoyment.

“First a shiver, and then a thrill,

Then something decidedly like a spill,—

And the parson was sitting upon a rock,

At half past nine by the meet’n-house clock,—

Just the hour of the Earthquake shock!

What do you think the parson found,

When he got up and stared around?

The poor old chaise in a heap or mound,

As if it had been to the mill and ground!

You see, of course, if you’re not a dunce,

How it went to pieces all at once,—

All at once, and nothing first,—

Just as bubbles do when they burst.

End o f the wonderful one-hoss shay.

Logic is logic. That’s all I say.”

“ Robert M. Coen, “Investment Behavior, the Measurement of D epreciation and Tax Policy”, American Economic Review, Mar. 1975,

pp. 59-74.

21M. Feldstein and M. Rothschild, “Towards an Economic Theory

of Replacement Investment”, Econometrica, May 1974, pp. 393-425.

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the remaining potential output of the bulb (500 hours) 

and a decrease in the efficiency of the bulb in providing the output. Thus, economic depreciation is a function not only of the remaining life (output) of the bulb 

but also of the efficiency with which that output may 

be produced. In this example, the market value of the 

bulb would be less than 50 cents, reflecting the loss in 

expected output (50 cents) and the loss in productivity.

Feldstein and Rothschild attempt to clarify much of 

the confusion regarding these concepts by expanding 

the number of factors affecting depreciation (defined in 

the broadest sense). Their concept of depreciation is 

akin to the economic depreciation concept discussed 

above where depreciation is the fall in the price of an 

asset as it ages. Depreciation is based on the rate of deterioration of the asset as it ages and the rate of technological obsolescence (the decrease in real resource 

cost per unit of output through the use of newer vintages of the asset). Deterioration is defined as the increase in the cost of resources required to produce a 

unit of output and can be broken into two componentsoutput decay and input decay. Output decay is the decline in the output of the asset as it ages. In the above 

example, the decline in illumination after 500 hours of 

use can be characterized as output decay. That is, the 

asset is no longer able to produce at the same level as 

when new. Input decay is defined as the increase in 

materials, labor, maintenance and repair, etc., required 

to maintain the same level of output. For example, if 

more energy were required to produce the same amount 

of light after 500 hours than when new, then input decay has occurred since it now requires more resources 

to make the asset produce the same amount of output. 

In practice, the distinction between the two forms of 

decay is not clear and in the subsequent discussion we 

will simply refer to decay as the combined effect of input and output decay on the productivity of the asset.

In developing the capital stock series for productivity studies, we are interested in the potential productivity or efficiency of a group of capital assets in producing a given output. These stocks are affected by 

both forms of deterioration, and the efficiency measure 

we develop should provide an index of how productive the capital is in one time period compared to another. Our measure (expressed in dollars) is simply the 

amount of original capital goods available for production in subsequent time periods. Throughout the remainder of this study, we shall refer to the decline in 

productivity as efficiency depreciation or decay.

In order to develop capital stock measures reflecting 

efficiency depreciation (net stocks) which will mesh 

with the previously discussed discard function in the 

model, it is desirable to develop a function that maps 

both the decay and discards of an investment bundle 

over time. This function will be called the decay function and is simply a series of proportions indicating what 

part of an investment bundle is available for production

N years after the purchase year. As with the discard function, the decay function is used in the perpetual inventory process to cumulate capital of different vintages 

into a capital stock estimate for a single year.

One might note that the decay function develops estimates for both efficiency decay and discards of wornout assets. Returning briefly to the concept of discards, 

the distribution of actual discards around the mean life 

effectively breaks the total investment value (normalized to 1) into many small service intervals, each having a service life which may differ from the mean life. 

The discard function assumes that over the service interval the efficiency of the capital good does not diminish. The decay function carries the discard function 

one step further by assuming that within each interval 

the efficiency of the capital asset declines according to 

a yet-to-be-defined formula. The total decay function 

for a particular asset class (plant or equipment) is developed based on an aggregation of individual decay 

functions for each service interval into a decay function for each asset type. This function is in turn weighted by the asset weight and combined with other weighted asset decay functions to derive the total decay function for the investment bundle purchased by the 

industry.

Form of depreciation

To this point the actual form of depreciation has not 

been mentioned, and it is this form over which much 

of the controversy concerning development of a capital stock series has arisen. There is no general consensus as to what time path efficiency depreciation follows, 

but it can generally be characterized by one of two 

classes. The first class comprises accelerated forms of 

depreciation where most of the efficiency decline occurs early in the service life of the asset. These forms 

— geometric decay, declining balance, sum-of-the-years 

digits, etc.— are closely related to tax depreciation guidelines and accounting principles. The second class of depreciation functions assumes that most of the depreciation occurs in the later years of service rather than in 

the early years.

In developing the depreciation formula for this study, 

it was desired to derive a formula which encompassed 

many of the above forms as special cases so that by 

varying certain parameters, the form of the depreciation could be varied. This function follows the formula:

A ~a

A -B a

where

A is the service life of the asset,

a is the actual age of the asset, and

B is a curvature parameter describing the form of 

depreciation.

The calculated value of the above function yields the

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value of assets available for production a years after 

the purchase date of the asset expressed as a proportion 

of the initial investment amount. Subtracting this value 

from 1 will yield the proportion of accumulated depreciation a years after the purchase date.

This function is referred to as the Beta-decay function and it incorporates many of the above-mentioned 

concepts in a form consistent with the discard function. 

The upper limit of Beta(B) is 1. This corresponds to 

the ‘one-hoss shay’ form of depreciation where an asset is fully productive until it reaches the end of its 

service life, at which point it falls apart. As the value 

of B approaches zero, depreciation occurs but at an increasing rate over time, corresponding to the second 

general class of depreciation forms described above. If 

B is zero, the function reduces to

A ~a

A

which corresponds to the fomula for straight-time depreciation where the physical decay of the asset occurs in even 

increments over the life of the asset. Finally, if B is negative, depreciation occurs most rapidly in the early years of 

service corresponding to the accelerated forms of the 

first class. Several possible values of B and their corresponding depreciation time paths are presented in table 6 

and are illustrated in chart 4.

Chart 4. Efficiency of an asset with a 10-year

service life under various depreciation

assumptions

Efficiency of Index of maintenance

productive assets and repair

Percent

A ge of asset

The problem now arises as to what value should be 

chosen for Beta to reflect the efficiency decay. Unfortunately, there is very little empirical evidence to suggest a precise value. Much of the justification for use 

of accelerated forms is based on several studies which 

detail the resale of used assets in various types of wellestablished secondary markets22. These studies found for 

the most part that the value of assets did decline in an 

accelerated pattern, with most of the decline occurring 

in the early years of service. However, they failed to 

distinguish between efficiency depreciation and changes 

in the economic value of the assets. Returning to the 

above discussion of the light bulb, we saw that the expected value of the bulb in the absence of a discount 

rate was proportional to the number of years in service or the straight-line rate. Thus, if we look at economic depreciation, the maximum value of Beta is zero. 

However, if there is a discount rate and the future capital services are discounted to the present year, we find 

that the present value of future capital services in the 

early years is greater than in the later years and that 

the capital services decline at a geometric rate since the 

discount factor is operating exponentially (geometrically) on the future capital services. Thus, empirical evidence tends to support the theory that economic value 

does decline at an accelerated rate.

However, there is no justification for extending this 

evidence to assume that efficiency also declines at an 

accelerated rate. On the contrary, both technological 

and economic arguments tend to support the theory 

that efficiency decay occurs more in the later years than 

in the early years. If one observes capital assets in use, 

it appears that the efficiency is relatively high during 

the early years of use and that only after some time 

does the asset begin to deteriorate. For example, the 

efficiency of an automobile to produce transportation 

services is uniformly high during the early years of its 

life23. After a time, some of the original equipment on 

the auto begins to fail. In the absence of maintenance 

and repair expenditures, the efficiency of the auto has 

declined. As the auto ages, more and more parts of the 

auto wear out and the repair expenditures rise accordingly. At some point, the expenditures for repairs are 

at such a level that many are foregone and the efficiency of the auto declines until the point where the auto

22 A second major justification is based on the work of Dale Jorgenson in which he develops an explanation of accelerated forms based

on renewal theory. This particular concept and the resulting arguments against its use are beyond the scope of this publication. For

an excellent discussion of many of these concepts, see Michael F.

Mohr, Issues in the Theory and Measurement o f Capital Inputs in Production (unpublished).

23 Some persons would suggest that the efficiency of the car or any

other asset is not 100 percent initially but rather that it increases to

100 percent only after some break-in period in which all of the initial defects are adjusted. While it is certainly a valid point, it poses

a problem in developing a uniform pattern of depreciation of all assets and will be ignored in this study.

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Table 6. Depreciation time paths based on alternative values of Beta for an asset with a 10-year service life

Age Percent of initial efficiency (lena of year) Percent annua! depreciation

B=.9 B=.75 m

n

o

B=-1 B=-2 B=.9 B=.75 B=0 B=-1 B=-2

1 ......................................................................... 98.9 97.2 90. 81.8 75.0 1.1 2.8 10. 18.2 25.0

2 ......................................................................... 97.5 94.1 80. 66.6 57.1 1.4 2.8 10. 15.3 17.9

3 ......................................................................... 95.8 90.3 70. 53.8 43.7 1.7 3.8 10. 12.8 13.4

4 ....................................................................................... 93.7 85.7 60. 42.8 33.3 2.1 4.6 10. 11.0 10.4

5 ........................................................................ 90.9 80.0 50. 33.3 25.0 2.8 5.7 10. 9.5 8.3

6 ......................................................................... 86.9 72.5 40. 25.0 18.1 4.0 7.5 10. 8.3 6.9

7 ......................................................................... 81.0 63.1 30. 17.6 12.5 5.9 9.4 10. 7.4 5.6

8 ......................................................................... 71.4 50.0 20. 11.1 7.6 9.6 13.1 10. 6.5 4.9

9 ......................................................................... 52.5 30.7 10. 5.2 3.5 18.9 19.3 10. 5.9 4.1

0 . 0 . 0 . 0. 0 . 52.5 30.7 10. 5.2 3.5

is sold or scrapped.

For this study, maintenance and repair expenditures 

are defined to be those expenditures of a normal and 

minor nature required to keep the asset running or 

usable. It does not include major expenditures which 

tend not only to increase the efficiency of the asset but 

also to extend the service life of the asset. This concept 

is consistent with accepted accounting and tax principles under which minor repairs are considered current 

expenses of the firm while major repairs are generally 

considered capital expenditures. The example of the automobile above may be explained using the Beta-decay 

formula developed above. Returning to chart 4, we can 

see that the depreciation time path may also be thought 

of as an index of maintenance and repair expenditures 

by subtracting the efficiency value of the asset in a 

given year from the value at 100-percent efficiency. 

This value can be read from the illustration by using 

the right-hand maintenance and repair axis. At any level along this axis, the value represents the relative 

amount of repair expenditures required to maintain the 

asset at full productivity. Thus, the efficiency of the asset becomes a function in part of the level of past and 

present maintenance and repair expenditures. In general, the higher the level of expenditures, the smaller the 

decline in productivity.

A firm will engage in maintenance and repair activity only if the cost of doing so is less than or equal to 

the present value of the additional capital services made 

possible by the repairs. In the early years of service, it 

pays the firm to keep the asset at or near full efficiency since the cost of doing so is relatively small and 

there is a relatively large number of productive years 

remaining. As the asset ages, both the amount of future 

capital services and the efficiency of the asset decline. 

Thus, the payoff to maintain the asset at full efficiency 

falls and there is less incentive to perform these services. In addition, with the increase in maintenance and 

repair expenditures required to maintain the older asset 

comes a corresponding increase in the amount of time 

the asset is out of service for repairs. Thus, the amount 

of time available for production is smaller, which is reflected in the efficiency with which the asset produces 

a given output.

Two studies24 add evidence to suggest that firms attempt to maintain the efficiency of capital until such 

time as changes in demand, technological obsolescence, 

or efficiency decay warrant the decision to scrap the 

asset. At that point, the asset is allowed to depreciate 

over the remaining service life with little effort to offset the decline in efficiency. These studies are inconsistent with the accelerated form of depreciation where 

efficiency declines rapidly in early years of service and 

more slowly in later years.

Given the above discussion, it seems appropriate to 

accept the second form of depreciation as the most applicable for this study and restrict the possible values 

of Beta to greater than zero and less than one. It was 

assumed that the efficiency of a structure (especially a 

building) declines very slowly over most of its service 

life until a point is reached where the cost of major repairs to the structure exceeds the increased capital services derived from the repairs, at which point the structure is allowed to depreciate rapidly until it is useless 

for production purposes. The Beta value for equipment 

was chosen assuming that the decline in efficiency occurred over a larger portion of the service life and with 

less severity than the structures depreciation. Given 

these assumptions, the final Beta values chosen were

0.9 for structures and 0.75 for equipment.

To illustrate the effects of changes in the value of 

Beta on a capital stock series, various values of Beta 

were used to calculate a test series of capital stock estimates. The service lives and weights used in this test 

correspond to the sample values used throughout this 

chapter. The capital expenditure series used was investment in equipment assets by all manufacturing industries for the years 1921-74. Table 7 presents the results 

of the calculations for seven different values of Beta 

for the years 1947 and 1974 and the trend rate of growth 

of the capital stock series during this time period. 

Changes in the values of Beta produce significant 

changes in the magnitude of the capital stocks. However, there is a remarkable similarity in the rate of

24 T. Barna, “On Measuring Capital” in The Theory o f Capital, F.A.

Lutz and D.C. Hague, eds. (London, Macmillan and Co., 1961); G.C.

Bittros, “A Statistical Theory of Expenditures in Capital Maintenance

and Repair”, Journal o f Political Economy, Oct. 1976, pp. 917-36.

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Table 7. Impact on capital stock estimates of changes in the

value of Beta1

Beta

coefficient

Capital stock

(millions of dollars) Growth

rate2

1947 1974

1 .0 ......................................................... $20,804 $202,989 7.9

. 9 .......................................................... 18,600 180,564 7.8

.7 5 ....................................................... 17,103 164,604 7.7

.5 ....................................................... 15,592 148,112 7.6

.2 5 ....................................................... 14,577 136,915 7.6

. 1 .......................................................... 14,096 131,589 7.5

0 ............................................................ 13,813 128,446 7.5

'investm ent data used in calculations are total manufacturing

equipment purchases, 1921-74. The asset bundle is assumed to be

composed of assets with service lives of 5, 10, 15, 20, and 25 years,

each constituting 20 percent of total investment.

1 Based on least squares method.

growth of the series over this time interval.

Thus, at least in the aggregate, the choice of Beta, 

while producing a pronounced impact on the level of 

capital stock, has little effect on the long-run trend. At 

finer levels of detail where greater year-to-year fluctuations exist in the annual investment patterns, there may 

be a more pronounced effect on the growth of the capital stock.

Once the form of depreciation is chosen, a decay 

function may be calculated for the investment bundle 

relating the efficiency of the entire investment bundle 

n years after purchase to the efficiency of the bundle 

in the purchase year. This function reflects not only 

changes in efficiency but also the different types of assets in the investment bundle and the discard distributions around the mean service lives of the assets. Two

Chart 5. Alternative discard and decay functions

for five assets with service lives ranging from

5 to 25 years

Percent of assets

available for production

Age of investment bundle

functions using the two assumed values of Beta are 

shown in chart 5 superimposed on the two previously 

illustrated discard functions.

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Chapter 5. Capital Stocks for

Major Sectors

Three major data series are developed in this study, 

as outlined in the preceding chapters: Gross investment, 

gross capital stocks, and net capital stocks. The gross 

investment data are the basic time series used in the 

perpetual inventory model to develop the two capital 

stocks series. The three data series are presented below, 

along with a description of the requirements and assumptions used to develop the data.

Gross investment

For each industry, gross investment data have been 

developed which meet the following criteria:

1. Data are provided separately for structures and 

equipment.

2. Equipment data span the years 1921-74.

3. Structures data span the years 1890-1974.

4. All investment time series are consistent in definition both between industries and for all years.

5. Data are expressed in both historical-dollar costs 

and constant-dollar costs.

6. The constant-dollar data reflect both the variation in the types of assets purchased from industry to industry and the variation in the price changes 

of different types of capital assets.

Gross capital stocks

Gross stocks as described in chapter 4 are the cumulation of all past investments adjusted for the discard 

of worn-out assets. Discards are calculated based on an 

assumed service life for a bundle of investment goods 

and a distribution of actual discards around this mean 

life. Assets are assumed to be fully productive up to 

the time they are discarded. At that point, the productivity of the asset falls to zero and the asset is no longer counted as part of the gross stock.

Net capital stocks

Net capital stocks are the cumulation of all past investments adjusted for the discard of worn-out assets 

and the loss of efficiency (depreciation) of the assets

over their service life. Net stocks are calculated in the 

same manner as gross stocks with the exception that 

the assets lose efficiency during the course of their service to the industry. This loss of efficiency is assumed 

to occur over the entire lifetime of the assets and at an 

increasing rate. Thus, the major portion of depreciation 

occurs towards the end of the service life. In addition, 

it is assumed that structures depreciate more slowly 

than equipment.

Capital stocks by major sector

Tables 8 through 13 detail the level of gross investment and gross and net capital stocks for the three major industrial sectors of the economy and the total private sector. The data are divided into nonresidential 

structures and producers’ durable equipment and are 

expressed in both historical and constant dollars. Similar data are presented in appendix C for 72 input-output industries.

Comparison With BEA capital stocks

The discussion in chapter 2 indicated that many of 

the assumptions and data underlying the BEA capital 

stock study differed from those in this study and yielded different capital stock estimates. Chart 6 compares 

the level of constant-dollar gross capital stocks from 

the two studies for the years 1947-74. The measures are 

similar, especially if the trends are compared, but the 

actual levels differ, primarily in the structures series. 

The BEA structures series is generally higher than the 

BLS series until the early 1960’s, when the BLS series 

becomes the higher of the two. The BEA equipment 

series is consistently higher than the BLS series for all 

years. As noted in chapter 2, the data presented in this 

study should not be construed as a disaggregation of 

the BEA data. Aside from the differences in the gross 

stock series, the net stock series is different because 

BEA assumes a much faster depreciation rate. This results in a BEA net stock series which is significantly 

lower than the data presented in this study.

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Table 8. Gross investment for major sectors: Historical dollars

(Millions of dollars)

Year

Producers' durable equipment Nonresidential structures

Total Manufacturing

Nonmanufacturing

Agriculture Total Manufacturing

Nonmanufacturing

Agriculture

1947 .................................................. $12,960 $4,195 $6,796 $1,968 $8,597 $2,427 $5,376 $793

1948 .................................................. 15,868 4,508 8,630 2,729 10,121 2,243 7,053 825

1949 .................................................. 14,419 3,666 7,700 3,052 9,730 1,728 7,222 780

1950 .................................................. 15,273 3,843 8,338 3,091 10,550 1,575 8,190 784

1951 .................................................. 17,945 5,282 9,543 3,119 12,465 2,693 8,933 838

1952 .................................................. 16,875 5,317 8,822 2,736 12,625 2,692 9,022 909

1953 .................................................. 17.845 5,515 9,247 3,082 13,809 2,605 1 0,384 819

1954 .................................................. 18,348 5,735 9,951 2,661 14,300 2,482 11,047 770

1955 .................................................. 20,813 5,781 12,266 2,765 16,242 2,632 12,871 738

1956 .................................................. 23,888 7,852 13,611 2,424 18,278 3,651 13,798 828

1957 .................................................. 27,378 8,327 16,441 2,609 19,623 3,907 14,915 799

1958 .................................................. 23,100 6,294 13,662 3,143 18,091 3,218 14,102 770

1959 .................................................. 25,372 6,279 15,944 3,148 18,649 2,491 15,154 1,003

1960 .................................................. 26,881 7,232 16,982 2,667 19,660 2,850 15,918 891

1961 .................................................. 26,833 6,986 16,879 2,968 20,033 2,800 16,317 915

1962 .................................................. 29,772 7,668 19,256 2,847 21,334 2,808 17,515 1,010

1963 .................................................. 30,926 8,374 18,735 3,816 21,523 3,052 17,465 1,006

1964 .................................................. 36,858 9,964 23,152 3,741 24,038 3,387 19,643 1,006

1965 .................................................. 41,982 12,375 25,330 4,277 28,074 4,463 22,546 1,064

1966 .................................................. 49,453 14,910 29,693 4,849 31,295 5,405 24,725 1,164

1967 .................................................. 49,926 15,689 29,166 5,070 31,280 5,841 24,050 1,389

1968 .................................................. 56,533 15,231 36,182 5,119 33,478 5,407 26,688 1,382

1969 .................................................. 61,643 16,380 39,930 5,332 37,767 5,952 30,431 1,383

1970 .................................................. 59,633 16,271 37,452 5,909 39,971 5,819 32,491 1,660

1971 .................................................. 61,301 15,477 40,348 5,474 41,512 5,386 34,457 1,668

1972 .................................................. 69,961 18,706 44,853 6,401 45,064 5,314 38,233 1,516

1973 .................................................. 84,697 20,957 55,450 8,289 54,164 5,999 45,924 2,240

1974 .................................................. 95,967 27,337 58,867 9,762 57,769 8,212 46,748 2,808

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Table 9. Gross investment for major sectors: Constant dollars

(Millions of dollars)

Year

Producers' durable equipment Nonresidential structures

Total Manufacturing

Non manufacturing

Agriculture Total ManufacturingNonmanufacturing

Agriculture

1947 .................................................. $26,621 $9,484 $12,866 $4,269 $19,514 $5,394 $12,348 $1,770

1948 .................................................. 30,011 9,479 15,190 5,341 20,710 4,486 14,573 1,650

1949 .................................................. 26,167 7,358 13,166 5,641 20,137 3,555 14,982 1,598

1950 .................................................. 26,923 7,487 13,866 5,569 21,665 3,281 16,750 1,633

1951 .................................................. 29,170 9,253 14,665 5,251 22,811 4,986 16,283 1,540

1952 .................................................. 27,066 9,151 13,479 4,434 22,531 4,808 16,099 1,623

1953 .................................................. 28,176 9,319 13,876 4,979 24,248 4,651 18,139 1,457

1954 .................................................. 28,074 9,476 14,366 4,231 25,613 4,515 19,687 1,410

1955 .................................................. 31,203 9,306 17,514 4,382 28,699 4,785 22,576 1,337

1956 .................................................. 33,180 11,529 18,032 3,618 29,654 6,084 22,191 1,378

1957 .................................................. 36,208 11,540 20,925 3,743 30,415 6,202 22,937 1,274

1958 .................................................. 29,957 8,568 17,010 4,377 28,613 5,276 22,074 1,262

1959 .................................................. 32,290 8,387 19,636 4,266 29,371 4,150 23,562 1,658

1960 .................................................. 33,834 9,458 20,804 3,570 31,070 4,750 24,839 1,480

1961 .................................................. 33,728 9,109 20,687 3,931 31,980 4,667 25,792 1,520

1962 .................................................. 37,323 9,967 23,619 3,736 33,879 4,604 27,616 1,659

1963 .................................................. 38,692 10,782 22,946 4,962 33,854 4,922 27,308 1,623

1964 .................................................. 45,758 12,700 28,248 4,809 37,278 5,376 30,309 1,592

1965 .................................................. 51,834 15,581 30,845 5,407 42,422 6,866 33,914 1,642

1966 .................................................. 60,033 18,324 35,721 5,986 45,331 7,954 35,656 1,719

1967 .................................................. 59,059 18,622 34,335 6,101 43,468 8,278 33,225 1,965

1968 .................................................. 64,514 17,414 41,126 5,973 44,429 7,307 35,253 1,868

1969 .................................................. 68,151 18,142 44,003 6,005 46,618 7,405 37,494 1,718

1970 .................................................. 63,601 17,265 39,933 6,402 45,373 6,613 36,871 1,889

1971 .................................................. 62,754 15,767 41,113 5,873 43,863 5,669 36,430 1,763

1972 .................................................. 69,961 18,706 44,853 6,401 45,064 5,314 38,233 1,516

1973 .................................................. 83,078 20,454 54,513 8,111 50,237 5,555 42,601 2,080

1974 .................................................. 86,733 24,297 53,953 8,481 44,813 6,416 36,207 2,189

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Table 10. Gross stocks for major sectors: Historical dollars

(Millions of dollars)

Year

Producers' durable equipment Nonresidential structures

Total Manufacturing

NonmanufacturingAgriculture T ota I Manufacturing

Nonmanufacturing

Agriculture

1947 .................................................. $73,965 $20,351 $44,052 $9,561 $90,493 $19,991 $64,804 $5,697

1948 .................................................. 86,002 24,032 50,248 1 1,721 98,482 21,638 70,451 6,392

1949 .................................................. 96,473 26,852 55,420 14,200 106,005 22,753 76,211 7,040

1950 .................................................. 107,619 29,813 61,097 16,708 114,274 23,702 82,882 7,689

1951 .................................................. 121,149 34,149 67,787 19,213 124,392 25,759 90,242 8,390

1952 .................................................. 133,127 38,419 73,448 21,259 134,605 27,810 97,633 9,161

1953 .................................................. 145,376 42,748 79,115 23,512 145,937 29,773 106,322 9,841

1954 .................................................. 157,295 47,139 85,013 25,142 157,702 31,617 115,613 10,471

1955 .................................................. 170,774 51,401 92,732 26,640 171,354 33,615 126,669 11,069

1956 .................................................. 186,398 57,547 101,287 27,563 186,986 36,639 138,590 11,757

1957 .................................................. 204,628 63,963 112,186 28,478 203,915 39,932 151,566 12,416

1958 .................................................. 217,732 68,120 119,826 29,784 219,268 42,552 163,667 13,047

1959 .................................................. 232,282 71,996 129,282 31,003 235,130 44,462 176,754 13,913

1960 .................................................. 247,421 76,513 139,230 31,677 251,934 46,737 190,527 14,670

1961 .................................................. 261,455 80,431 148,419 32,604 269,021 48,959 204,609 15,452

1962 .................................................. 277,232 84,651 159,223 33,357 287,298 51,180 219,786 16,332

1963 .................................................. 292,878 89,191 168,687 34,999 305,621 53,626 234,784 17,210

1964 .................................................. 313,164 94,946 181,754 36,463 326,284 56,384 251,810 18,089

1965 .................................................. 337,247 102,750 196,156 38,339 350,771 60,181 271,562 19,027

1966 .................................................. 367,499 112,752 214,076 40,669 378,225 64,868 293,291 20,064

1967 .................................................. 396,903 123,212 230,578 43,112 405,380 69,930 314,127 21,322

1968 .................................................. 431,513 132,884 253,132 45,496 434,423 74,485 337,369 22,568

1969 .................................................. 469,721 143,363 278,384 47,973 467,421 79,504 364,109 23,807

1970 .................................................. 504,245 153,365 299,998 50,881 502,262 84,292 392,654 25,315

1971 .................................................. 538,533 162,159 323,197 53,176 538,253 88,533 422,899 26,820

1972 .................................................. 579,339 173,736 349,402 56,200 577,382 92,577 456,645 28,159

1973 .................................................. 632,498 187,088 384,502 60,907 625,178 97,179 497,793 30,206

1974 .................................................. 694,235 206,292 421,045 66,897 676,126 103,863 539,458 32,803

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Table 11. Gross stocks for major sectors: Constant dollars

(Millions of dollars)

Year

Producers' durable equipment Nonresidential structures

Total Manufacturing

Nonmanufacturing

Agriculture Total Manufacturing

Non manufacturing

Agriculture

1947 .................................................. $195,017 $54,642 $115,420 $24,953 $374,347 $79,276 $269,461 $25,610

1948 .................................................. 213,756 61,541 123,560 28,654 383,936 80,797 276,804 26,334

1949 .................................................. 228,529 66,291 129,572 32,665 392,793 81,368 284,406 27,018

1950 .................................................. 243,875 71,102 136,168 36,604 403,027 81,654 293,621 27,751

1951 .................................................. 261,080 77,551 143,351 40,177 414,278 83,640 302,232 28,405

1952 .................................................. 275,417 83,691 148,931 42,794 425,124 85,452 310,512 29,158

1953 .................................................. 289,741 89,722 154,321 45,698 437,569 87,132 320,674 29,762

1954 .................................................. 302,705 95,605 159,600 47,500 451,293 88,707 332,248 30,337

1955 .................................................. 317,538 101,003 167,475 49,059 468,031 90,582 346,589 30,858

1956 .................................................. 333,128 108,304 175,327 49,496 485,667 93,794 360,432 31,440

1957 .................................................. 350,668 115,281 185,586 49,799 504,063 97,184 374,939 31,940

1958 .................................................. 360,985 118,934 191,466 50,584 520,694 99,722 388,521 32,449

1959 .................................................. 372,732 121,991 199,555 51,186 538,124 101,211 403,536 33,377

1960 .................................................. 385,012 125,639 208,304 51,068 557,273 103,353 419,770 34,150

1961 .................................................. 396,008 128,418 216,284 51,305 577,334 105,448 436,899 34,987

1962 .................................................. 409,302 131,524 226,446 51,331 599,279 107,512 455,781 35,985

1963 .................................................. 422,638 134,944 235,158 52,534 62 1,13 0 109,912 474,248 36,969

1964 .................................................. 441,777 139,838 248,433 53,506 646,294 112,775 495,576 37,942

1965 .................................................. 465,739 147,227 263,536 54,975 676,430 117,108 520,336 38,984

1966 .................................................. 496,721 157,041 282,744 56,934 709,242 122,487 546,639 40,115

1967 .................................................. 525,527 166,881 299,713 58,932 739,923 128,133 570,290 41,499

1968 .................................................. 558,483 175,252 322,505 60,726 771,265 132,737 595,737 42,790

1969 .................................................. 593,628 184,100 347,066 62,460 804,455 137,348 623,175 43,931

1970 .................................................. 622,579 191,807 366,298 64,473 836,026 141,058 649,728 45,239

1971 .................................................. 648,776 197,700 385,266 65,809 865,666 143,688 675,563 46,413

1972 .................................................. 680,039 206,199 406,329 67,510 896,042 145,805 702,909 47,327

1973 .................................................. 722,082 216,086 435,231 70,764 931,088 147,996 734,304 48,787

1974 .................................................. 765,216 229,396 461,549 74,269 960,173 150,887 758,951 50,334

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Table 12. Net stocks for major sectors: Historical dollars

(Millions of dollars)

Year

Producers' durable equipment Nonresidential structures

Total Manufacturing

NonmanufacturingAgriculture Total Manufacturing

Non manufacturing

Agriculture

1947 .................................................. $59,382 $16,829 $34,917 $7,634 $75,807 $15,186 $55,773 $4,846

1948 .................................................. 70,587 20,249 40,632 9,706 83,442 16,783 61,125 5,533

1949 .................................................. 79,809 22,689 45,103 12,017 90,599 1 7,849 66,578 6,171

1950 .................................................. 89,272 25,161 49,861 14,249 98,495 18,750 72,932 6,811

1951 .................................................. 100,646 28,899 55,392 16,354 108,222 20,760 79,958 7,503

1952 .................................................. 110,016 32,449 59,687 17,880 118,010 22,750 86,996 8,263

1953 .................................................. 119,393 35,959 63,897 19,537 128,879 24,630 95,317 8,931

1954 .................................................. 128,280 39,439 68,296 20,545 140,126 26,365 104,212 9,548

1955 .................................................. 138,646 42,699 74,489 21,458 153,196 28,225 114,840 10,131

1956 .................................................. 151,087 47,752 81,466 21,868 168,165 31,075 126,287 10,802

1957 .................................................. 165,995 52,947 90,697 22,350 184,314 34,139 138,732 11,442

1958 .................................................. 175,514 55,746 96,483 23,284 198,742 36,460 1 50,230 12,051

1959 .................................................. 186,231 58,189 1 03,894 24,147 213,524 38,000 162,632 12,890

1960 .................................................. 197,264 61,236 111,565 24,462 229,087 39,842 175,630 13,614

1961 .................................................. 206,981 63,672 118,287 25,021 244,760 41,568 188,833 14,358

1962 .................................................. 218,366 66,450 126,531 25,384 261,439 43,229 203,017 15,191

1963 .................................................. 229,585 69,604 133,345 26,636 277,976 45,056 216,905 16,014

1964 .................................................. 245,442 74,027 143,707 27,707 296,664 47,131 232,704 16,828

1965 .................................................. 265,014 80,528 155,271 29,214 318,983 50,184 251,108 17,690

1966 .................................................. 290,525 89,191 170,150 31,184 344,073 54,066 271,367 18,638

1967 .................................................. 314,742 98,197 183,301 33,243 368,660 58,258 290,604 19,797

1968 .................................................. 343,684 106,268 202,215 35,200 394,934 61,881 312,121 20,932

1969 .................................................. 375,518 114,985 223,337 37,195 424,963 65,913 337,002 22,048

1970 .................................................. 402,805 123,025 240,211 39,568 456,627 69,667 363,539 23,419

1971 .................................................. 429,137 129,668 258,186 41,283 489,240 72,843 391,621 24,775

1972 .................................................. 461,290 138,924 278,651 43,714 524,798 75,808 423,036 25,953

1973 .................................................. 504,994 149,721 307,464 47,809 568,821 79,322 461,669 27,828

1974 .................................................. 556,328 166,117 337,104 53,106 615,759 84,907 500,610 30,241

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Table 13. Net stocks for major sectors: Constant dollars

(Millions of dollars)

Year

Producers' durable equipment Nonresidential structures

Total Manufacturing

Nonmanufacturing

Agriculture Total Manufacturing

Nonmanufacturing

Agriculture

1947 .................................................. $151,691 $43,919 $88,305 $19,466 $301,316 $56,701 $224,296 $20,217

1948 .................................................. 169,036 50,291 95,726 23,017 310,405 58,318 230,948 21,138

1949 .................................................. 181,767 54,276 100,761 26,729 318,804 59,009 237,875 21,919

1950 .................................................. 194,382 58,119 106,090 30,1 72 328,631 59,440 246,440 22,749

1951 .................................................. 208,136 63,409 111,691 33,034 339,511 61,598 254,412 23,501

1952 .................................................. 218,472 68,213 115,500 34,7 58 350,016 63,585 262,081 24,349

1953 .................................................. 228,630 72,793 119,144 36,692 362,153 65,423 271,682 25,047

1954 .................................................. 237,430 77,134 122,756 37,539 375,575 67,131 282,729 25,713

1955 .................................................. 248,198 80,909 129,017 38,271 392,001 69,115 296,565 26,321

1956 .................................................. 259,808 86,509 135,247 38,050 409,297 72,397 309,913 26,985

1957 .................................................. 273,376 91,669 143,844 37,862 427,250 75,779 323,910 27,560

1958 .................................................. 279,573 93,389 147,914 38,269 443,276 78,201 336,936 28,137

1959 .................................................. 287,075 94,510 154,028 38,536 459,915 79,458 351,333 29,123

1960 .................................................. 294,975 96,297 160,584 38,093 478,072 81,268 366,862 29,940

1961 .................................................. 301,581 97,342 166,226 38,012 496,912 82,936 383,168 30,807

1962 .................................................. 310,638 98,913 174,010 37,714 517,373 84,471 401,084 31,817

1963 .................................................. 319,904 101,009 180,277 38,616 537,475 86,245 418,435 32,794

1964 .................................................. 335,119 104,770 191,042 39,306 560,620- 88,381 438,499 33,738

1965 .................................................. 355,154 111,158 203,452 40,542 588,466 91,899 461,838 34,727

1966 .................................................. 381,959 119,997 219,668 42,293 618,717 96,377 486,557 35,782

1967 .................................................. 406,069 128,775 233,226 44,067 646,557 101,032 508,455 37,068

1968 .................................................. 433,783 135,952 252,233 45,597 674,783 104,561 531,983 38,238

1969 .................................................. 462,938 143,446 272,471 47,020 704,602 108,037 557,327 39,237

1970 .................................................. 485,050 149,588 286,780 48,681 732,548 110,564 581,602 40,380

1971 .................................................. 503,827 153,736 300,451 49,639 758,345 112,000 604,974 41,369

1972 .................................................. 527,232 160,329 315,928 50,973 784,699 112,947 629,672 42,080

1973 .................................................. 560,966 168,092 338,999 53,874 815,563 114,009 658,232 43,320

1974 .................................................. 595,274 179,069 359,234 56,970 840,307 115,812 679,861 44,633

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Chart 6. Comparison of BLS and BEA gross capital stock estimates, 1947-74

B illions of 1972 dollars

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Appendix A. Adjustments to

Investment Data

This appendix contains a more thorough description 

of the derivation of selected investment series, particularly in the nonmanufacturing sector. It also describes 

the procedure used to develop the Type B asset data.

Agriculture

Capital expenditures of farms are available from the 

BEA capital stock study. These data are supplied to 

BEA directly by the Department of Agriculture but 

they do not include investment by forestry, fishery, and 

agricultural services, which should be included in the 

total for the agriculture sector. These three industries 

are implicitly classified in the nonmanufacturing sector 

by BEA. These series are not developed separately in 

this study due to(l) the lack of available data and(2) 

the ease with which firms within these industries can 

move to other industries within the sector. They are 

instead estimated in the aggregate and combined with 

the BEA agriculture data to yield a total agriculture 

sector.

To account for the lack of these industries in the 

BEA capital expenditures, adjustment factors were developed from IRS data with which to scale the BEA 

expenditure series upward. Separate industry investment series for these industries are only available from 

the IRS data for the years 1964-72. The investment series derived for this time period were adjusted to include the noncorporate sector using the ratio of corporate to noncorporate business receipts. Annual ratios 

were then developed based on the sum of investment 

in the three missing industries to total agriculture investment excluding these industries. These ratios were 

used to directly adjust the BEA data in each year of 

the time period. For the years before 1964 and after 

1972, average ratios were developed and assumed to 

apply for each year: 1.05 for years before 1964 and 

1.0588 for years after 1972.

Mining

Investment for the six mining industries was derived 

generally from the IRS data which were benchmarked 

to census data. Expenditure data could be derived for 

all six industries only for the years 1967-73. With the 

exception of 1962 and 1963, investment data for four 

mining industries were available for the years 1943-66. 

During this period, iron ore and nonferrous metal ore

mining were combined as one industry and stone and 

clay mining was combined with chemical and fertilizer 

mineral mining. IRS data were not published for these 

industries in 1962, creating the gap for 1962 and 1963. 

Fortunately, data for 1963 were available from the Census of Mineral Industries for that year and 1962 was 

estimated as the midpoint between the 1961 values (adjusted to census definitions) and the 1963 values. For 

the years 1935-42, only one aggregate mining sector 

was reported in the IRS reports. These aggregate data 

were distributed to component industries based on the 

distribution of investment in the 1939 census. For the 

years prior to 1935, no investment series was available. 

Instead, a proxy series was developed based on the annual production of mining equipment. This series was 

converted to an index (1935=100) and used to distribute the 1935 investment value to earlier years. One final adjustment was required to the stone and clay mining industry (I/O sector 9) and the chemical and fertilizer mineral mining industry (I/O sector 10). IRS classified production of certain mineral products in sector 

10 and census classified production of these products 

in sector 9. No investment detail was available to make 

the proper adjustment for specific minerals so it was 

assumed that investment for each of the mineral categories was related to total investment in a sector in the 

same ratio as production of the specific mineral to total production in the sector. Ratios were developed for 

1967-73 based on statistics available from the Minerals

Yearbook which related the production of the misclassified minerals in sector 10 to total production in sector 10. Total investment in this industry was reduced 

by this ratio, and a corresponding amount was added 

to the investment in sector 9. These continuous IRS series were then adjusted to exclude depletion allowances 

and expanded to include the noncorporate sector.

With the exception of the petroleum and natural gas 

industry, the IRS data were then benchmarked to investment controls from the Census of Mineral Industries for the years 1939, 1954, 1958, 1963, 1967, and 

1972. Data for the intervening years were estimated 

based on linear interpolations of the benchmark ratios 

in the census years and applied to the IRS data in the 

intercensal years. Data prior to 1939 were scaled by 

the 1939 ratio and data after 1972 were scaled by the 

1972 ratio.

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Data for 1974 were not available from IRS at the 

time of this study. Expenditures for this year were estimated based on the growth rate between 1973 and 

1974 of investments in mining exploration and mining 

machinery which are available in the NIPA investment 

series. These growth rates were then applied to the 1973 

plant and equipment expenditure data to estimate the 

1974 data.

The derived expenditures define the actual outlays 

for physical structures and equipment. National income 

accounting conventions also include the cost of mineral exploration and development exclusive of land acquisition or mineral rights acquisition costs in the total 

structures investment for these industries. These data 

are available in the NIPA accounts but only as a total 

for all mineral industries exclusive of the oil and gas 

well drilling industry. However, these data are available for each industry in the census years and were used 

as a distribution to allocate the NIPA control values to 

the component mineral industries.

Gross investment data for the oil and gas well industry were initially developed using the procedure outlined above. However, the IRS series was found to fluctuate greatly, probably because the series is based on a 

company classification system. Since companies in this 

highly integrated industry may vary their primary activity from year to year, in one year emphasizing extraction and in another refining, and since the IRS classification is based on the primary activity in a given 

year, the level of depreciable assets of the industry fluctuates as firms change activities. In order to smooth 

these fluctuations, the IRS capital expenditures were 

adjusted to include the capital expenditures charged to 

the current accounts of these firms. These data are available for the oil and gas well drilling industry from BEA 

and caused a significant smoothing in the IRS based 

series.

The revised IRS expenditure series was then benchmarked to the census totals and interpolated for intervening years. The benchmark process also broke the 

total investment figure into the plant and equipment 

parts. The final adjustment was to increase the structures component to include the NIPA oil and gas well 

drilling exploration series.

Construction

Investment expenditures by the construction industry were developed primarily from IRS data. For the 

years prior to 1958, the data were taken from the Gort/ 

Boddy study. Data for 1958 and beyond were developed for each IRS construction industry separately and 

then aggregated. Data for the entire series were then 

adjusted for the effect of capital gains and expanded to 

include the noncorporate sector. Expenditure data prior to 1959 were benchmarked to the investment value 

contained in the 1958 BLS capital flows matrix and the 

1963 BEA capital flows matrix and compared to the

BEA Plant and Equipment Survey. The data were quite 

consistent with the BEA data through 1963. However, 

the IRS data for the period 1964-73 did not agree with 

either the BEA series or the capital expenditure series 

in the 1967 and 1972 Census of Construction Industries.

Accordingly, the IRS-based series for this period was 

benchmarked to the 1967 and 1972 census estimates, 

with years between 1964 and 1972 based on interpolations of the 1963, 1967, and 1972 benchmark points. 

Data for 1973 were based on the 1972 ratio. IRS data 

were not available for 1974; capital expenditures were 

estimated by applying the 1973-74 growth rate of “commercial and other” plant and equipment expenditures 

from the Plant and Equipment Survey to the 1973 IRSbased data. The adjustment factors between census and 

IRS were 0.6984 for 1967 and 0.7155 for 1972.

The investment series was allocated between structures and equipment based on unpublished Plant and 

Equipment Survey proportions for years prior to 1967 

and the 1972 census proportions for 1967 and beyond.

Transportation

Railroads. The primary data source was the Interstate 

Commerce Commission (ICC), specifically Transport

Statistics in the United States and Statistics o f Railways

in the United States. Reliable data were available for 

total investment in road and equipment of Class I and 

Class II railroads from 1914 to the present. A coverage 

adjustment, based on the ratio of investment in railroad 

property of Class I and Class II railroads to property 

investment of all railroads was applied to derive the final total investment series. This coverage adjustment 

was always less than 5 percent. This series was broken 

into plant and equipment shares according to the relative shares of annual expenditures for additions and betterments to road and equipment property made by Class 

I railroads. For the vears prior to 1914, the investment 

compiled by Ulmer1 was used.

The substantial amount of leasing of freight cars to 

railroads by private car lines and major corporations 

constitutes investment in railroad equipment and, consequently, was included with the railroad transportation mode. Data on the number of freight cars purchased by nonrailroad companies by type - hopper, tank 

car and other - were obtained from the American Railway Car Institute. Price information by type of car was 

taken from Transport Statistics. It was assumed that the 

price paid by the private car owners for each type of 

freight car was the same as that paid by the railroads. 

In addition to freight cars, there was some leasing of 

passenger cars. In general, the methodolgy for deriving this investment was the same as that for freight cars:

Melville J. Ulmer, Capital in Transportation, Communica

tion, and Public Utilities (Princeton University Press, National

Bureau o f Economic Research, 1960).

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The number of Pullman cars shipped was obtained from 

the American Railway Car Institute and the price 

weights from Transport Statistics. Due to data limitations, it was possible to include only the equipment portion of leased property.

Commercial or for-hire trucking. This sector includes 

all for-hire trucking operations, both ICC-regulated and 

nonregulated common and contract carriers, both local 

and intercity. Commercial warehousing operations are 

also included in this industry. The investment series was 

developed primarily from IRS balance-sheet and income reports for the trucking and warehousing industry. The IRS data were adjusted to include the noncorporate portion of this industry by using the ratio of 

Gross Product Originating to corporate segments of 

this industry. The investment series was broken into 

structures and equipment using relative proportions of 

annual gross investment derived from the ICC investment data of Class I motor carriers of general freight 

which detail investment by the two components.

The IRS data were available for the years 1932-73. 

For the years prior to 1932, the series was estimated 

based on the NIPA investment series on trucks. Capital expenditures in 1974 were estimated based on the 

change from 1973 in structures and equipment investment by the Class I general freight carriers.

Intercity bus. This industry includes the activities of 

ICC regulated intercity carriers, nonregulated intercity 

carriers, and intercity charter and sightseeing companies. The most reliable and detailed data available are 

those presented by the ICC in Transport Statistics and 

Statistics o f Class I Motor Carriers. These data include 

a direct record of investment in buses and balance sheet 

and income statement data sufficient to estimate investment in structures and other equipment. The two basic 

limitations of these data are that they present only partial coverage of the industry and they are not available 

prior to 1940. The first limitation is mitigated by the 

prevalent practice of smaller companies in the industry 

of purchasing buses from the larger companies and also 

of using the terminal facilities of these companies. The 

larger companies are ICC-regulated and their data are 

reflected in the sources. The lack of data prior to 1940 

was overcome by estimating these data based on relationships from less reliable data, as explained below.

The only other relevant data available were the production and factory sales of buses by bus type. These 

two series are: 1) Automobile Manufacturers Association (AMA) data on domestic factory sales of buses by 

bus type (intercity, local, special, and school bus chassis), 1940-41 and 1946-60; 2) Bus Transportation data on 

production by bus type (intercity, local, special, and 

school bus), 1924-56.

The basic methodology was to take the ICC data for 

those years where it was believed to be reliable and

derive ratios of investment in structures and other equipment to investment in revenue equipment to be used 

when ICC data were not available. The revenue equipment estimates were derived by multiplying the number of new units purchased by the average cost per bus.

The cost per bus and the structures and other equipment relationships were derived as follows. The ICC 

data provided price estimates back to 1942. These were 

used directly for the years 1961-74. Between 1946 and 

1961, they were used in terms of a 3-year moving average which was designed to take out some seemingly 

random fluctuations. To extend the series prior to 1946, 

a cost per bus for 1930 was estimated based on information given in Bus Transportation. When the 1947 bus 

price was extended to 1930 based only on the change 

in the price index, the estimate exceeded that given in 

Bus Transportation. A residual change factor was then 

estimated and applied to become cumulatively effective 

in a linear function. These two adjustment factors were 

then applied to the 1947 estimate and the cost per bus 

was extended back to 1924.

Using data for the years 1947-49 and 1951-54, ratios 

of investment in structures and other equipment investment to buses were developed and used to obtain the 

investment in these categories based on the previously 

calculated investment in buses. Finally, all these previously described data were used in the following manner to obtain the series on gross investment.

For the periods 1943-45 and 1961-74, ICC data were 

used without adjustment. For the periods 1940-42 and 

1946-60, investment in buses was based on the series on 

prices per bus and the number of buses estimated as total domestic factory sales of motor coaches(all buses 

except school bus chassis) less the number purchased 

by transit companies (data obtained from the American 

Transit Association). Other investments were from ICC. 

For the period 1924-39, bus purchases were estimated 

based on the production of intercity and special motor 

buses and the series on price per bus. The other investments were derived based on the ratios of these investments to bus investment.

Oil pipelines. The most reliable investment series available was the capital and exploration expenditures series 

for pipelines in the United States published by the Chase 

Manhattan Bank in Capital Investments of the World

Petroleum Industry. All pipeline companies, as well as 

pipeline divisions of the major petroleum companies, 

report directly to the bank’s Research Department. 

Since there is no distinction between structures and 

equipment in this series, a separation was made based 

on the distribution reported to the ICC by the interstate carriers for the period 1955-62. For the years prior to 1955 and after 1962, a constant proportion of 

structures to equipment was utilized.

Unfortunately, the Chase Manhattan series does not 

exist prior to 1951. From 1951 back to the early 1900’s,

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it was necessary to rely on the pipeline construction 

series published in the Construction Review, which is 

based on ICC data with coverage adjustment for intrastate carriers.

During World War II, the government constructed 

six oil-carrying pipelines which were later sold as surplus. The two largest lines-the ‘Big Inch’ and the ‘Little Inch’-however, were sold for the transportation of 

natural gas. This left only about $9.1 million at original 

cost which was sold to the private sector for the purpose of oil transmission. This total is reflected in the 

investment series.

Domestic and international air transportation. The investment series for equipment includes both flight equipment, derived from BEA’s producers’ durable equipment (PDE) series, and ground equipment, estimated 

from balance sheet data in the Handbook of Airline Statistics of the Civil Aeronautics Board (CAB). Investment 

in structures was also estimated from CAB data.

For flight equipment, the PDE series for aircraft, 

which contains both the purchase of government surplus aircraft by the private sector (positive), and the 

exports of used aircraft (negative), in addition to the 

sales of new aircraft, was used with an adjustment to 

exclude business aircraft. Sales of business aircraft were 

derived by subtracting the BEA total of PCE aircraft 

from the estimate of total general aviation sales of aircraft. Total general aviation sales of aircraft were estimated from the value of shipments data, exports and 

imports of general aviation aircraft. An additional adjustment to the total flight equipment investment series 

was made to remove the general aviation share of exports of used aircraft (actually to ‘add’ the general aviation share since the used exports were subtracted from 

the new aircraft series in order to set the total PDE 

series).

The final flight equipment series was allocated to the 

domestic and international sectors according to the relative shares of CAB domestic and international air carriers. Gross investment in flight equipment could then 

be derived from balance sheet data, but this alternative 

series was abandoned in favor of the PDE series since 

the CAB does not include leased aircraft. The domestic/international split from the CAB series was utilized 

to break down the PDE series.

Combined annual gross investment in ground equipment and structures was calculated from the CAB balance sheet. The series was broken down between the 

two categories according to a constant factor based on 

unpublished CAB data. The ground equipment investment estimates for domestic and international carriers 

were added to the respective flight equipment series to 

derive the total equipment series.

Water transportation. Investment in revenue equipment 

for both domestic and overseas transportation was derived from the PDE series for ships and boats. These 

data include private sector purchases of government 

surplus vessels and exports of used vessels in the year 

that the transaction was made. The PDE series includes 

both self-propelled and other craft (barges). An adjustment was made to the series to exclude fishing vessels 

and business vessels used for entertainment purposes. 

These vessels were assumed to represent a constant percentage of PCE for pleasure boats, estimated from unpublished data.

The investment in structures and equipment other 

than revenue equipment was estimated based on their 

relationship to revenue equipment. More specifically, 

constant percentages were applied to the investment in 

revenue equipment to derive investment in other types 

of assets. These percentages were derived from information reported by several major corporations engaged 

in water transportation and checked for consistency 

against book value of assets reported to the Maritime 

Administration. Fortunately, the investment in other 

types of equipment is extremely small for this industry.

Local bus transportation. The local bus industry, as defined in this study, consists of the bus operations of all 

local transit and sightseeing and charter companies, both 

privately and publicly owned. Separate investment estimates were developed for buses, other equipment, and 

structures. Because of the nature of the data sources, 

data development was done in two steps. For the period 1940-74, the basic data came from the American 

Transit Association (ATA) and the ICC. For the period 1910-40, the estimates were closely tied to those of 

Ulmer.

The ICC data from Transport Statistics of the United

States and Statistics of Class I Motor Carriers provided 

estimates of investments only for regulated (interstate) 

local carriers. They did, however, provide estimates in 

useful detail-the number and cost of buses and dollar 

investment in structures and other equipment. The data 

were used to develop: (1) A series on the cost of a local bus, and (2) estimated ratios of investment in structures and other equipment to investment in buses. For 

the cost series, the ICC average prices were used. To 

obtain the investment ratios, selected years were taken 

and averaged.

Two sets of data were also available from the ATA. 

One was a series on total new buses purchased by all 

transit companies. This covered all years 1940-74. For 

the years 1941-49, ATA conducted a more thorough 

survey of the transit industry which provided historical-dollar estimates of bus investments.

All these series were used to develop the investment 

data in the following manner:

For the period 1954-74, the ATA buses were multiplied by the ICC estimated cost per bus to obtain bus 

investments. Other investments were then found using 

the ratios of other equipment and structures to the bus

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investments. For the period 1941-49, the AT A dollar 

bus estimates were accepted and the other investments 

estimated as a fixed proportion to the bus investments. 

From 1910-40, the gross investment series was derived 

from the data presented by Ulmer. An adjustment was 

made to this series to include public investment which 

represented about 14 percent of private investment. The 

distribution of total gross investment to the three components, ie., revenue equipment, other equipment, and 

structures, was assumed to be the same as that found 

in the later period-1940-74. Prior to 1910, there was 

relatively no investment in this transportation mode.

Taxicabs. Since little data are available on purchases 

of new taxis, it was necessary to estimate this series by 

an indirect method. In general, the only reliable data 

are on the total number of units in use, and this information was used to derive the number of new units. It 

was assumed that the average taxicab has a 3-year life, 

and, therefore, that one-third of the total number in use 

is replaced each year. The number of new units was 

then multiplied by the average price to derive the final 

investment series.

The total number of taxis in use was estimated by 

applying the ratio of all taxis to those in fleet service 

to the number of fleet taxis as reported in Motor Vehicle Facts and Figures of the Motor Vehicle Manufacturers Association. The average ratio was based on data 

from a study by the International Taxicab Association 

entitled An Analysis of Taxicab Operating Characteristics, August 1975. This study estimated the total number of taxis in use in 1973; the ratio of this estimate to 

the number of taxis in fleets was used to derive the entire series. The average price of a taxi in 1970 was estimated from a survey of major taxicab owners and a 

paper by the Urban Institute, The Nation ’s Expenditures

on Urban Travel, Working Paper 450-5, February 1970. 

The price for all other years was estimated by the 

change in the consumer price index for automobiles.

Transportation services. The total investment series was 

developed from IRS data for the period beginning with 

1947 and adjusted to cover the noncorporate sector using capital consumption allowance weights from the 

BEA Gross Product Originating data. It was not possible to derive consistent IRS data for the pre-1947 period. Therefore, the average expenditures of the transportation sector were used as an interpolating series, 

multiplied by a constant factor based on the 1947-63 

average ratio of transportation services expenditures to 

transportation excluding transportation services. The 

resulting estimates were allocated between structures 

and equipment using the Life of Depreciable Assets 

Survey proportions.

An independent estimate was made for 1971 since the 

calculated IRS estimate yielded a totally unreasonable 

number. For 1974, investment was estimated from the

1973-74 percent change in total transportation investment, excluding transportation services.

Communications, except radio and TV

Capital expenditures for the telephone and telegraph 

industry were developed from statistics compiled by 

the Federal Communications Commission (FCC). For 

the period 1958-74, these data were developed from the 

FCC report, Statistics of Communications Common Carriers, which provided separate statistics on the capital 

expenditures of the telephone and telegraph industries. 

Data prior to 1951 were taken from the telephone investment series developed by Ulmer, which was based 

on AT&T balance-sheet data, and the FCC telegraph 

investment series. Data for 1951-57 were developed using Ulmer’s methods and sources, with the telegraph 

supplement from the FCC.

The investment series was benchmarked to the investment totals in the 1958, 1963, and 1967 capital transactions matrices. Data for 1964-74 were adjusted by 

trending the adjustment factors of the benchmark years 

and scaling the FCC data accordingly. The adjustment 

factors were 0.9521, 0.9461, and 1.003 for 1958, 1963, 

and 1967, respectively. The total investment series was 

broken into plant and equipment components by taking 

the structures series for telephone and telegraph construction as reported in the Construction Review and deriving the equipment series as a residual.

Radio and TV

Annual total investment expenditures for the broadcasting industry were based on IRS data compiled in 

the early years by Gort and Boddy and derived for 

later years directly from the IRS Source Book. The data 

were adjusted to exclude the effects of capital gains and 

allocated between structures and equipment by a constant proportion derived from the Life of Depreciable 

Assets Survey. Data for 1974 were estimated based on 

the 1973-74 growth rate in the production of radio and 

TV braodcast equipment as reported in the Annual Survey of Manufactures.

Electric and gas utilities and water and sanitary

services

Data for these industries were developed from the 

Plant and Equipment Expenditure Survey for the years 

1947-74 and from the Ulmer study for years prior to 

1947. The BEA data identify capital expenditures for 

electric utilities and for an aggregation of gas utilities 

with water and sanitary services. This latter series was 

divided into its component parts by developing annual 

proportions of these two industries from the IRS Statistics of Income and applying them to the expenditure 

levels in this series.

The structures portion of the electric utility and gas 

utility series were developed from annual construction 

data from Construction Statistics 1915-64 (a supplement

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to the Construction Review) and the January issues of 

the Construction Review for 1965-74. Structures for water and sanitary services were estimated based on a constant proportion for this industry derived from the Life 

of Depreciable Assets Survey. Capital expenditures for 

equipment were then calculated as the difference between total investment and structures investment.

Wholesale trade

The investment series for wholesale trade was initially developed from IRS data and benchmarked to data 

from the Retail and Wholesale Trade censuses. Data 

prior to 1947 were developed from the Gort/Boddy 

study. Beginning in 1947, data were developed from 

the IRS Source Book to form a continuous investment 

series through 1973. Capital expenditures for merchant 

wholesalers were available in 1958 and 1972 from the 

Census of Business and in 1967 and 1972 from the 1972 

Census of Wholesale Trade. These capital expenditures 

were inflated to cover capital expenditures of all wholesale trade establishments. Plant investment was adjusted by the ratio of inventories of all wholesale trade establishments to the inventories of merchant wholesalers 

and equipment investment was adjusted using the proportion of payrolls of all wholesale trade establishments 

to the payrolls of only merchant wholesalers.

The IRS investment series was then benchmarked to 

the four census estimates by interpolating the benchmark ratios for the intercensal years and applying the 

ratios to each IRS observation. IRS data for 1973 were 

adjusted based on the 1972 ratio. Data for 1974 were 

estimated based on the growth rate in retail trade investment as described below.

Retail trade

Investment in retail trade was estimated based on the 

Gort/Boddy study through 1946 and from an index from 

the Construction Review for 1947-74.The index was calculated based on the construction of stores, mercantile 

buildings, and garages for 1958-74 and on the construction of office and other commercial buildings for 1947- 

57. The Construction Review index was then benchmarked on census values in 1958, 1963, 1967, and 1972; 

the intervening years were interpolated between the 

census benchmark points. The benchmark ratio for 1972 

was used for 1973 and 1974. The adjustment ratios were 

2.5636 in 1958, 2.7237 in 1963, 2.4522 in 1967, and 1.8165 

in 1972. Census data prior to 1958 were not available 

and the capital expenditures series from the BEA Plant 

and Equipment Survey series was used as a substitute 

for 1954 and 1948. The BEA series and the census values were quite similar in 1958; the census total investment figure was $2,647 billion and the BEA figure was 

$2,748 billion, and it was assumed that this close relationship held in the previous two benchmark years. The 

Construction Review index was higher since a substitute 

series was used in 1948, 1954, and 1958. Thus, the corresponding benchmark ratios for these years were lower: 1.61, 1.25, and 0.8135, respectively. Note that the 

index was benchmarked twice for 1958, once for the 

post-1957 index and once for the pre-1958 index, in order to maintain continuity in the two indexes.

An important part of retail trade, the investment expenditures for gasoline service stations built by major 

petroleum companies but leased to individual operators, 

was not included in the census retail trade statistics and 

had to be estimated from other sources. A capital expenditure series on marketing by the petroleum industry was obtained from the Chase Manhattan Bank publication, Capital Investments of the World Petroleum Industry. From this total marketing figure, investment expenditures by independent service station operators 

were subtracted to obtain the investment series for gasoline stations owned by the petroleum companies. This 

figure was then added to the previously calculated census-based investment series to derive the final total investment series. This series was then broken into plant 

and equipment components based on proportions of 

these assets in the four census years.

Finance and insurance

Gross investment data for this industry were based 

on the IRS Source Book and benchmarked to the 1958, 

1963, and 1967 capital transactions matrices. The IRS 

data were expanded to include the noncorporate sector 

and to exclude the effects of capital gains. The 1974 

expenditure figure was based on the growth rate of finance and insurance expenditures in the Plant and 

Equipment Survey and applied to the 1973 IRS figure. 

The adjustment figures to convert the IRS data were 

0.5823 in 1958, 0.8900 in 1963, and 0.9187 in 1967. Plant 

and equipment were separated based on the plant and 

equipment proportions in the capital transactions 

matrices.

Real estate

Total investment in the real estate industry is derived from IRS data and the Construction Review. Investment in this industry is defined as the purchase of buildings and equipment for use by the real estate industry 

and commercial buildings and related equipment which 

are rented or resold to other businesses. It does not include the purchase of buildings used for residential purposes such as apartments or nonhousekeeping units such 

as dormitories.

For the period 1946-73, initial estimates of real estate 

investment were developed using IRS data. Two adjustments were required to: (1) eliminate the residential 

portion and (2) include the noncorporate sector. The 

residential investment was eliminated in a two-step procedure. First, the IRS data were used to develop an 

estimate of total investment (including residential) by 

the real estate industry. Second, an estimate of the total corporate share of residential investment was developed, assuming that one-half of total investment in mul38

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tifamily dwellings and nonhousekeeping units was purchased by corporations. It was then assumed that only 

a fixed proportion of the corporate residential investment was made by firms in the real estate industry. This 

proportion was derived from the Life of Depreciable 

Assets Survey, resulting in an allocation of 76.8 percent 

of corporate residential investment to the real estate industry. This latter figure was subsequently subtracted 

from the IRS total real estate investment to derive the 

real estate investment in nonresidential buildings and 

equipment.

The investment series was then expanded to include 

the noncorporate sector based on the ratio of noncorporate depreciation to corporate depreciation. The resulting investment time series proved to be quite erratic for several years. Therefore, it was smoothed over 

the entire period using the series “nonresidential buildings: commercial, miscellaneous, and all other private” 

from the Construction Review.

Investment prior to 1946 was developed based on the 

average ratio of the commercial buildings series from 

the Construction Review to the investment series derived above for the years 1946-63. This ratio was applied 

to the pre-1946 commercial buildings series to derive 

the real estate portion.

Investment in 1974 was derived based on the 1973- 

74 growth rate of the commercial buildings series. The

1973 investment figure was then moved by this growth 

rate to derive the 1974 investment figure. The resulting 

total investment series was then allocated between structures and equipment based on the proportions from the 

Life of Depreciable Assets Survey.

Hotels and personal and miscellaneous repair

services

The gross investment series for each component of 

this sector was developed from IRS sources and adjusted to exclude capital gains and to include the noncorporate sector. The IRS-based investment series for 

hotels and lodging places was found to be inconsistent 

with the construction of nonresidential housekeeping 

units found in the Construction Review for individual 

years. Therefore, it was adjusted by redistributing the 

IRS data for the entire period by using the Construction Review series for nonresidential housekeeping as an 

index. The adjusted series was then added to the IRS 

series for personal and miscellaneous repair services to 

form the final total investment series. The estimate for

1974 was based on the growth rate of nonresidential 

housekeeping units between 1973 and 1974.

The structures series for hotels and lodging places 

was obtained from the Construction Review series and 

the personal and miscellaneous services structures were 

calculated based on the proportion available from the 

Life of Depreciable Assets Survey. The equipment series was then calculated as the difference between total and structures investment.

Business services

Gross investment series for these sectors were based 

on IRS data adjusted to exclude capital gains and to 

include the noncorporate portion of the industry. The 

1974 expenditure data were calculated based on the 

growth rate of commercial and other construction found 

in the Plant and Equipment Expenditures Survey. The 

investment series was then broken down into component parts based on the Life of Depreciable Assets Survey proportions.

Auto repair

Gross investment for this sector was based on IRS 

data adjusted to exclude capital gains and to include 

the noncorporate portion of the industry. The 1974 expenditure data were calculated based on the growth 

rate of commercial and other construction found in the 

Plant and Equipment Expenditures Survey. The investment series was then broken down into component parts 

based on the Life of Depreciable Assets Survey 

Proportions.

Amusements

Gross investment for this sector was based on IRS 

data adjusted to exclude capital gains and to include 

the noncorporate portion of the industry. The 1974 expenditure data were calculated based on the growth 

rate of commercial and other construction found in the 

Plant and Equipment Expenditures Survey. The investment series was then broken down into component parts 

based on the Life of Depreciable Assets Survey 

Proportions.

Medical and educational services and nonprofit

organizations

The investment series for medical and educational 

services and nonprofit organizations was based on aggregated data from the Construction Review on religious, 

hospital and institutional, and educational construction. 

This series was benchmarked to the capital transactions 

matrix for 1958, 1963, and 1967. The adjustment ratios 

were 1.5787 in 1958, 1.8961 in 1963, and 2.0586 in 1967. 

Plant and equipment expenditures were broken out 

based on proportions of these assets in the capital transactions matrices.

Purchases of government-owned assets

The concept of investment discussed to this point has 

been developed assuming that all investment was made 

directly by private businesses purchasing capital goods 

directly from other private businesses. However, in 

some cases, firms may purchase or lease capital goods 

which were purchased initially by the Federal Government. These goods are used in the production of goods 

and services and, therefore, should be included as part 

of the stock of capital assets. However, they do not appear in the capital stock estimates derived from private 

investment flows.

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The great majority of government investments occurred during World War II and the period immediately thereafter. Many of these assets were used from 

the time of their purchase by private firms which contracted to produce goods and services for the government. Following the war, these assets were generally 

either sold to the private sector, placed in the national 

industrial reserve, scrapped, or retained by the government for continued use by firms producing goods and 

services for the government.

It is only those capital goods which remained in production which are of interest to this study. Of the two 

types of capital goods remaining in use, only those assets which were sold are identified in the capital stock 

data. The stock of capital assets owned by the government but used by private firms is not identified, primarily due to the lack of available data concerning the 

amount of investment and the industry using the assets. 

However, it is assumed that elimination of these investments from the capital stock estimates will have little 

impact on the relationship between capital stock and 

other industry data such as output and employment 

which, in most cases, will contain information on production activity which uses government-owned facilities. This is justified on the grounds that the negotiated 

price of the output of firms using government facilities 

will be less than the market price if the firm were the 

owner of the capital goods. Thus, the relationship between output and capital stock will be somewhat tenuous, which may yield distorted results when comparing the capital inputs to output measures.

As noted above, government purchases of capital assets were concentrated during the period 1940-46. Of 

the nearly $14.3 billion invested during this period, $5.7 

billion were sold over a number of years at a total sales 

price of $2.1 billion. Government investments following World War II which were later sold were generally concentrated in the aircraft and missile industries. 

Data on the cost of these assets and the industries purchasing them were not available and, consequently, are 

not included in the data. In any event, it is believed 

that ignoring these assets will have a minimum impact 

on the magnitude of the estimated stocks.

Questions arise concerning the time at which assets 

become part of the private sector capital stock and their 

value. One argument is that assets ahould only be included at the time of their transfer and should be valued at their sales price. The second argument is that

assets should be transferred at the time of their purchase and at their original acquisition cost. The latter 

argument is the one adopted by this study, for two reasons. First, the cost of assets at the time of their transfer may not accurately reflect the actual productiveness of the assets. Second, in many cases, the companies purchasing the surplus assets were the operators 

prior to the sale date, and thus the assets were part of 

the capital stock of these companies. This requires identifying government purchases of capital assets during 

the wartime years and the industries which later purchased these assets.

In general, assets transferred fell into one of two 

classes: Joint transfer of plant and equipment facilities, 

and equipment items sold separately. Data pertaining 

to the transfer of joint plant and equipment facilities 

were available from several Federal agencies. In many 

cases, the data identified the purchasing industry, the 

original cost and purchase year, and the value of the 

plant and equipment components. These expenditures 

were allocated to the purchasing industry directly. 

However, in other cases, only the total value of the assets was identified. This required the elimination of any 

land value and separation of the data into plant and 

equipment components. This was accomplished based 

on the ratio of total investment to investment net of 

land values for this time period and the ratio of the 

plant component to total investment.

Sales of equipment items alone were much more difficult to identify since only a total value was available. 

Thus, investment had to be allocated to the proper purchasing industry and to the proper purchase year. These 

allocations were based on the pattern of total capital 

expenditures over the 6-year period 1940-45 and on the 

industries purchasing metalworking machinery and general industrial machinery identified in the 1958 capital 

flow matrix.

Once the investment series was developed, capital 

stock estimates were derived using procedures identical to those used to prepare the private sector capital 

stock estimates. The resulting estimates are not presented in this bulletin but are available from BLS upon request. For more information concerning the development of the investment data, see Development of Capital Stock Series by Industry Sector (1973) prepared by 

Jack Faucett Associates for the President’s Office of 

Emergency Preparedness (now Federal Preparedness 

Agency, General Services Administration).

40

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Appendix B. Mathematical

Description of the Model

The perpetual inventory technique discussed in chapters 

1 and 4 is a process used to cumulate annual capital 

expenditures into a measure of the stock of capital assets. 

This capital stock is then adjusted for the discards of 

worn-out assets and the depreciation or decline in efficiency of the capital stock to produce goods and services. 

For any one year, the capital stock is equal to the capital 

stock in the previous year plus the current year’s investment less the discards and depreciation of currently held 

assets. This value may be expressed by

(1) Kt = Kt_ , + I t - D t

where = the value of capital stocks in years t

and t— 1, respectively,

It = investment in year t,

Dt = discards in year t (discards will be used 

to refer to both discards and depreciation).

The value of discards in year t is equal to the sum of 

investment in each previous time period times its relative 

efficiency in producing goods and services in year t.

t-1

(2) ^ ^ Iv Rfv

v=l

where Iv is investment of vintage v and R is a replacement 

function denoting the portion of investment of 

vintage v remaining t~v years after purchase.

The term I in (2) is the annual capital expenditure time 

series described in chapter 2 and appendix A. The term R is 

somewhat more complicated, and much of the remaining 

discussion in this appendix is devoted to describing the 

derivation of the replacement function R.

Specifically, it is desired to develop a function which 

relates the efficiency of an asset when new to its efficiency 

in subsequent time periods. Two basic restrictions are 

placed on this function:

Assets are fully productive when new;

Depreciation or the change in efficiency of an asset over 

time is a continuous function which declines to zero at 

the end of an asset’s service life.

The replacement function R may be evaluated at any 

asset age, say a. This function, R(a), may be expressed in 

terms of two parameters, the service life of an asset (A) and 

a curvature or depreciation parameter (B). Initially, we will

hold the value of A constant and evaluate the replacement 

function for various values of B. One possible form of the 

replacement function is given by

. . R(a)= A~a

^ A-Ba 0<=a<A

0 a>=A

where both a and A denote end of year time periods. This 

function is a form of a rectangular hyperbola which 

provides a generalized model incorporating several types of 

depreciation as specific cases.

The value of B is restricted only to values less than or 

equal to 1. Values greater than 1 yield results outside the 

bounds established by the restrictions on R(a). For values 

of B greater than zero, the function R(a) tends to approach 

zero at an increasing rate. For values less than zero, R(a) 

approaches zero at a decreasing rate. Several possible values 

of B are illustrated in chapter 4, chart 4.

The choice of B, while arbitrary, does allow flexibility in 

the specification of depreciation forms, which increases the 

flexibility of the model. A discussion of the alternate forms 

of B and the values chosen for this study may be found in 

chapter 4.

Consider now the replacement function R(a), which 

holds B constant and allows A to vary. Chart B-l illustrates 

a series of replacement functions differing only in the 

length of the service life. Each function displays the same 

rate of decay since B is fixed and decays in the same 

proportion of initial productivity after some given proportion of service life has elapsed. The absolute differences in 

the values of R(a) at any given age are due only to 

differences in the service lives.

The concept of variable lives is related to the concept of 

investment in this study where investment is composed of a 

bundle of different types of capital goods

N

(4) .t = E ' k ,

k=l

where 1^ t is investment in good type k in year t.

Each of the N types of capital goods is a homogeneous 

group of capital assets in which the actual service life of 

each asset is a random variable reflecting quality differences, maintenance schedules, etc. For each type of capital 

good there exists some mean service life A around which is

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Chart B-1. Decay functions accounting for

variation in actual service lives

Efficiency

a distribution of the actual service lives of the assets in the 

group. In order to determine the actual capital available for 

production, the actual service lives and relative frequency 

of assets with these service lives must be determined. 

Following the discussion in chapter 4, it is assumed that 

this distribution may be accurately depicted by the 

standard normal distribution:

(5) P(A)= —jk=r- e-(A -A )2/2o 2

This is a continuous function in which, for any value of 

A, there exists a non-zero density and, for the neighborhood around A, a non-zero probability. One property of 

the normal distribution is related to the infinite nature of 

the distribution. Without adjustment, the distribution 

would yield cases where assets were discarded prior to their 

purchase or assets with unrealistically long service lives. In 

order to eliminate these extremes, some adjustment is 

warranted to restrict the values of the actual service lives to 

a reasonable range around A. This adjustment requires 

truncation of the normal at some point before and after A, 

say by a value of 5. As illustrated in chapter 4, chart 2, this 

procedure may take two forms, truncation of the tails of 

the distribution vertically at the points A—6 and A+5 or 

raising the X-axis horizontally to intercept the normal at 

the cut-off points.

Either technique requires adjustment of the remaining 

standard normal values between the cut-off points by an 

amount 100/E where E is the percent of the distribution 

remaining within the truncated curve. For vertical truncation, the value of E is simply the area under the normal 

curve between the cutoff points.

where X is a standard normal variable. The adjusted normal 

distribution then becomes

(7) P(A) =

1 e —(A-A)2/2c;2 

y/2ito

r b /o X2

f - 7 = * ~ J-8/o

e -(A -A )2 I2 ° 2

r 8,° ? o e -X 2/2dx

J - 6 l o

Calculation of the normal truncated horizontally is more 

complex computationally. If the X-axis is shifted up to 

intersect the distribution at the cut-off points, the values of 

the probability distribution will measure the probability 

density of the truncated distribution plus a constant equal 

to the vertical distance between the original X-axis and the 

shifted axis. Calculation of the distribution between the 

cut-off points requires elimination of this constant factor 

measured by the ordinate of the distribution at the cut-off 

points and adjusting the remaining area under the curve by 

the area eliminated from consideration. This involves 

determining the ordinates of the normal distribution at the 

cut-off points and calculating the area of the distribution 

below the ordinates. The ordinates at A—6 and A+5 may be 

calculated by:

(8) 0= . - L - e-(A+5-A)2/2g2 =— !— e —(l/2)(5/ff)2 

\/27r a y /lir a

The total area remaining in the adjusted distribution is 

equal to the area within the cut-off points as calculated in

(6) less the area of the rectangle bounded by the cut-off 

points, the original X-axis and the shifted X-axis. This is 

determined by multiplying the value of the ordinate 

determined in (8) (the height of the rectangle) by the 

length between the cut-off points, 2 5 (the length of the 

rectangle). The adjusted probability distribution then becomes

(9) P(A)=

i ___ -(A—A)2/2< ^____L

\/27r o \J l7r a

.5 l o

- '—ft/a y/Tn \f2/n o

25

- ( l / 2)(5/cr)2

—(l/2)(6/a)2

Note that the numerator in (9) is the area of the normal 

distribution adjusted for the constant 0 derived in equation 

(8). The results of the above calculations, regardless of the 

truncation form used, allow calculation of the probability 

of service life A occurring given the average age of a group 

of similar capital goods, the cut-off points of a distribution 

around the average age, and the standard deviation of the 

distribution. The latter two variables are assumed to be 50

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and 25 percent, respectively, of the mean life in this study. 

Once the frequency of a true service life A is known, the 

decay function for that particular service life may be 

calculated using some fixed value of B. A similar process is 

followed for all other possible values of A, and all the decay 

curves are aggregated to derive a replacement function for 

that type of good. This may be thought of as summing the 

curves vertically in chart B-l to yield the aggregate 

replacement function. This function may be expressed 

mathematically as

where b is the end point of the interval, 

c is the beginning of the interval, 

n is the number of pairs of equal width segments, 

and

2n is the total number of segments.

Substitution of 

A+5 for b 

A~5 for c 

25 for b~c

yields

(10) R(a| A,5, o, B) =

A+5

s~ A+5

/ D(a| A, B)P(A | A, CT, 5) dA

(1 1 ') / R <a > - 3 i

L

A -5

R(A-S) + R(A+5)

This function, unfortunately, is not continuous and may 

not be integrated to determine the values of R for each age. 

An alternative to integration is to use an approximation 

technique to estimate the area under the curve. One such 

method is Simpson’s approximation. This technique requires dividing the area under the curve to be integrated 

into an even number of equal width segments. The area 

under the first two segments is estimated by fitting a 

parabola between the bounds of the first two segments 

(P1,P2,P3) in chart B-2. The areas in successive pairs of 

segments are estimated in a similar manner. This procedure 

may be conveniently expressed for a general integral by:

00 l

f(x)dx = b—c 

6n

n— 1

f(c) + f(b)

+ £ 2f(c + 2it £ )

i=l

+^ 4 f ( c + ( 3 i - 2 ) t i )

i=l

Chart B-2. Calculation of integral using

Simpson’s approximation

c b

1

2 r(a- 5 + 2i 5_ 

n

n

+y ^ 4 r (^_§+(3i_2) 5

A specific example may prove useful in clarifying many of 

the concepts discussed here. For the purposes of this 

example, we will make the following assumptions:

Average service life = 10 years.

Assets distributed normally about the mean service life.

Standard deviation of the distribution = 2.5 years.

Distribution truncated vertically at 5 and 15 years.

Depreciation occurs according to (3).

Value of the decay parameter (B) = .75.

From these assumptions, we know that actual discards 

will occur over a range of 5 to 15 years. This example 

assumes vertical truncation. However, the process is identical using the horizontal truncation method. The distinction 

between the two methods lies in how the values derived 

from the normal distribution are adjusted.

Calculation of the replacement function may be broken 

into two distinct steps: Derivation of the frequency

distribution of discards, and weighting of depreciation 

functions by their corresponding discard frequencies to 

yield the replacement function values. The first step in the 

calculation of the discard frequencies is to divide the 

discard interval into an even number of equal-width 

segments. For this example, we will choose 10 segments, 

which yields a segment width exactly equal to 1 year. This 

interval width was chosen in this example largely for 

convenience; in general, the segment widths are not integer 

values. The second step requires calculating the various 

ages, A, which compose the boundaries between the 

segments determined above. These ages correspond to each 

of the columns shown in table B-1.

The next step is to calculate the probability or frequency of occurrence for each of the 11 asset service lives 

determined. Given our assumptions concerning the distribu43

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Table B-1. Derivation of the frequency distribution of discards for an asset with a 10-year service life

Segment boundary for asset service lives (years)

5 6 7 8 9 10 11 12 13 14 15

Frequency of service

l i f e ................................... .02262 .04648 .08137 .12139 .15431 .16717 .15431 .12939 .08137 .04648 .02262

Weight for Simpson's

ap p ro xim atio n............ 1 4 2 4 2 4 2 4 2 4 1

Weighted frequency.......... .02262 .18592 .16274 .48556 .30862 .66868 .30862 .48556 .16274 .18592 .02262

Actual frequency............... .00754 .06197 .05425 .16185 .10287 .22289 .10287 .16185 .05425 .06197 .00754

tion about the mean life, the probability of each asset life, 

A, occurring may be derived using (7), which is reproduced 

below with the actual values of a, 8 , and A.

(7') P(A)=

e (A-10)2/i2.5 

2.5 ^ e ~ x 2 / 2 dx

J-2

Recall that the denominator in (7') is equal to the total 

area under the normal curve less the area under the normal 

curve and outside the cut-off points defined by our 

truncation assumption. Rather than perform these calculations, this value may be derived from a table of standard 

normal values. This is found to be 0.9546. The numerator 

in (7') is the ordinate of the distribution for each of the 11 

lives calculated previously. These values may be derived 

from a table of standard normal ordinates. In many cases, 

this latter table is developed for the standardized normal 

distribution with mean 0 and standard deviation of 1. For 

distributions with a standard deviation other than 1, the 

ordinates determined from the table must be divided by the 

standard deviation of the distribution actually used. These 

resulting calculations are shown in line 1 of table B-1. The 

next step requires weighting each of the ordinate values by 

the appropriate weight required to perform Simpson’s 

approximation. These are derived from (ll')and are shown 

in line 2 along with the weighted frequency values in line 3 

of table B-1. The final calculation is to multiply each of the 

weighted frequency values by the ratio:

Length of the discard interval 

3[Number of segments]

In this example, this ratio is (15—5)/3(l0), yielding 1/3. 

Multiplying each of the weighted frequencies by 1/3 yields 

the actual frequencies for each of the 11 service lives as 

shown in line 4.

We may now proceed to determine the depreciation 

pattern for the group of assets. Recall that while the mean 

service life is 10 years, the actual service lives of assets in 

the bundle range between 5 and 15 years. For each of these 

service lives, there exists a depreciation function which 

describes the change in the relative efficiency of assets with 

that service life to produce goods and services. The 

efficiency of these assets is determined according to (3). 

These calculations are performed for each of the 11 service

lives and are presented in the corresponding columns of 

table B-2. The values shown measure the efficiency of the 

assets at the end of a time period relative to the efficiency 

of the assets when new. For example, assets with a 5-year 

service life are slightly more than 94 percent as efficient 

after 1 year of service as when new. By the end of the fifth 

year of service, the relative efficiency has fallen to zero.

The relative efficiency of the entire group of assets may 

now be determined. ’ This is derived by weighting the 

efficiency of each of the 11 segments (or ages) in a given 

year by the actual frequency or proportion of assets with 

that service life in the total asset bundle (line 4, table B-1). 

These weighted efficiency values are summed across all 

segments to yield the relative efficiency of the entire 

bundle of assets. For example, according to the calculations, this bundle of assets is 97 percent as efficient after 1 

year of service as when new.

The result of these calculations has been to develop a 

replacement function for a homogeneous group of capital 

goods. “Homogeneous” in this example refers to capital 

goods characterized by a mean service life of 10 years with 

a dispersion of actual service lives about the mean life equal 

to 2.5 years and the range of actual service lives restricted 

to between 5 and 15 years. A replacement function 

describing an investment bundle composed of a group of N 

different types of capital goods may now be developed 

using the above technique. It is assumed that each of the 

types of capital goods is a homogeneous group. The 

replacement function for the entire investment bundle is 

derived by weighting each of the N replacement functions 

by the respective proportion of total investment composed 

of the Nth type good.

(12)

k=l

where I^/Iy is determined from the relative shares of each 

capital good to total investment in 1963 and 1967.

(13) lk _ Ik, 1963 + lk, 1967

rT lT, 1963 + lT, 1967

The replacement function may then be used with (2) to 

determine the discards and depreciation of assets of vintage 

v in time t. These data are then subtracted from investment 

in time t and added to the previous year’s capital stock to 

determine the stock in year t.

44

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Federal Reserve Bank of St. Louis
Table B-2. Change in the efficiency of assets with varying service lives and the total replacement function for a bundle of assets with a

10-year service life

Age of

asset

(years)

Decay of assets with service lives (years) of — Replacement

5 6 7 8 9 10 1 1 12 13 14 15 function

1 .................. .9412 .9542 .9600 .9655 .9696 .9729 .9756 .9777 .9795 .9811 .9824 .971 1

2 .................. .8571 .8889 .9091 .9230 .9333 .9411 .9473 .9523 .9565 .9600 .9629 .9364

3 .................. .7273 .8000 .8421 .8695 .8888 .9032 .9142 .9230 .9302 .9361 .9411 .8941

4 .................. .5000 .6667 .7500 .8000 .8333 .8571 .8750 .8888 .9000 .9090 .9166 .8290

5 .................. 0 .4444 .6154 .7058 .7619 .8000 .8275 .8484 .8648 .8780 .8888 .7623

6 .................. 0 .4000 .5714 .6666 .7272 .7692 .8000 .8235 .8421 .8571 .6568

7 .................. 0 .3636 .5333 .6315 .6956 .7407 .7741 .8000 .8205 .5436

8 .................. 0 .3333 .5000 .6000 .6666 .7142 .7500 .7777 .4065

9 .................. 0 .3076 .4705 .5714 .6400 .6896 .7272 .2923

1 0 .................. 0 .2587 .4444 .5454 .6153 .6666 .1712

11 .................. 0 .2666 .4210 .5217 .5925 .1028

1 2 .................. 0 .2500 .4000 .5000 .0422

1 3 .................. 0 .2352 .3809 .0175

1 4 .................. 0 .2222 .0016

1 5 .................. 0 0

SUMMARY OF REQUIRED STEPS: The following steps 

are a summary of the discussion in this appendix.

1. Create adjusted normal distribution:

a. Set cut-off points around A.

b. Select values for the standard deviation (a).

c. Determine truncation type.

d. Calculate adjusted normal distribution.

2. For each asset type in the investment bundle,

a. Determine the range of discard years around the 

mean service life (A—5, A+5).

b. Divide the interval 25 into 2n equal width segments.

c. Determine the service life at each of the 2n+l 

segment boundaries and calculate the frequency of 

this service life from the adjusted distribution.

d. Weight the ordinate of the distribution for each life 

determined in (c) above. The weights are 4 for even

numbered segment boundaries and 2 for odd numbered segment boundaries.

e. Calculate a decay function for each of the 2n+l 

service lives using a fixed value of B and create a 

matrix containing 2n+l columns and k rows where k 

corresponds to A+5 years.

f. Multiply each of the columns of the matrix determined in (e) by the corresponding weights determined in (d). Sum each row of the matrix and 

multiply each element of the resulting vector by the 

value 25/6n. This yields the replacement function for 

1 type of capital good.

3. For each replacement function calculated in (2) above,

a. Multiply the function by the proportion of investment composed of that type of good.

b. Sum the weighted replacement functions to derive 

the aggregate industry replacement function.

45

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Federal Reserve Bank of St. Louis
Appendix C. Tables of investment and capital stocks for

input-output industries, 1947-74

Sectors 1 - 4. Agriculture: Historical dollars

(Millions of dollars)

Y ear

G ro ss in v e s tm e n t

—

G ross s to c k s N et s to c k s

T o ta l Equ i p m e n t S t r u c t u r e s T c t a l E qu i p m a n t S t r u c t u r e s

r

T o ta l I Equi pm ent S t r u c t u r e s

1 94 7 _____ $ 2 ,7 6 2 $ 1 ,9 5 8 $793 $ 1 5 , 2 5 8 $9,5 61 $ 5 ,6 9 7

I

$ 1 2 ,43 1 | $ 7 ,6 3 4 $ 4 ,8 4 5

1943 _____ 5 ,5 5 5 2 ,7 2 9 825 18, 114 11,721 6 ,3 9 2 1 5,239 I 9,706 5 ,5 3 3

1 94 9 _____ 3 ,8 3 3 3 ,0 5 2 780 2 1 ,2 4 0 14,200 7 ,0 4 0 1 8,188 | 12,017 6,1 7 1

1 9 5 0 _____ 3 ,8 7 6 3,091 7 8 4 2 4 ,3 9 7 16,708 7 ,6 8 9 2 1 ,0 6 0 I 14,249 6 ,311

195 1 _____ 3 ,9 5 8 3 ,1 1 9 8 38 2 7 ,6 0 3 19,213 8 ,3 9 0 2 3 ,8 5 7 I 16,354 7 ,5 0 3

1952 _____ 3 ,6 4 6 2 ,7 5 6 909 3 0 ,4 21 2 1 ,2 5 9 9,1 6 1 2 6 ,1 4 3 | 17,880 8 ,2 6 3

1953 _____ 3 ,9 0 2 3 ,0 8 2 8 19 3 3 ,3 5 3 2 3 ,5 1 2 9 ,8 4 1 2 3 ,4 6 8 | 19,537 8 ,9 3 1

1954 _____ 3 ,4 3 2 2 ,6 6 1 770 3 5 ,6 1 4 2 5, 142 10/47 1 3 0 ,0 9 3 | 2 0 ,5 4 5 9 ,5 4 5

1 955 _____ 3 ,5 0 4 2 ,7 6 5 738 5 7 , 7 10 2 6 ,6 4 0 11,069 3 1 ,5 8 9 I 2 1 ,4 5 8 10,131

1 9 5 5 _____ 3 ,2 5 3 2 ,4 2 4 828 3 9 ,3 2 0 2 7 ,5 6 3 11,757 3 2 ,6 7 0 | 2 1 , 8 6 8 10,802

1557 _____ 3 ,4 0 9 2 ,6 0 9 799 4 0 ,8 9 4 2 8 ,4 7 8 12,416 3 3 ,7 9 3 I 2 2 ,3 5 0 11,442

1 9 5 8 . . . . 3 , 9 1 4 3, 143 770 4 2 ,8 3 2 2 9 ,7 8 4 13,047 3 5 ,3 36 I 2 3 ,2 8 4 12,051

1959 _____ 4 , 152 3 ,1 4 8 1,003 4 4 ,9 1 7 3 1 ,0 0 3 13,913 3 7 ,0 3 5 | 2 4 ,1 4 7 12,890

I 9 60 _____ 3 ,5 5 9 2 ,6 6 7 391 4 6 ,3 47 31,6 77 14,670 3 8 ,0 7 7 I 2 4 ,4 6 2 13,614

196 1 _____ 3 ,8 8 4 2 ,9 6 8 9 15 4 8 ,0 56 3 2 ,6 0 4 15,452 3 9 ,3 7 9 I 2 5 ,0 21 14,353

1962. .. . 3 ,8 5 8 2 .8 4 7 1 ,0 10 4 9 ,6 8 9 3 3 ,3 5 7 16,332 4 0 ,5 7 5 I 2 5 ,3 8 4 15,191

1 9 6 5 _____ 4 , 3 2 3 3 , 8 16 1,006 5 2 ,2 0 9 3 4 ,9 9 9 17,210 4 2 ,6 5 0 I 2 6 ,6 3 6 16,014

196 4 _____ 4 ,7 4 3 3 ,741 1 , 0 C 6 5 4 ,5 5 2 3 6 ,4 6 3 18,039 4 4 ,5 3 5 | 2 7 ,7 0 7 16,828

1 9 6 5 . . . . 5 ,3 4 2 4 ,2 7 7 1,064 5 7 ,3 6 7 3 8 ,3 39 19,027 4 6 ,9 0 4 | 2 9 ,2 1 4 17,690

1 9 6 6 . . . . 6 ,0 1 4 4 ,8 4 9 1,164 6 0 ,7 3 3 4 0 ,6 6 9 2 0 ,0 6 4 4 9 ,8 2 2 I 3 1 , 1S 4 18,638

1 9 6 7 _____ 6 ,4 6 0 5 ,0 7 0 1,389 6 4 ,4 3 5 4 3 ,1 1 2 2 1 ,3 2 2 5 3 ,0 41 | 3 3 ,2 4 3 19,797

1663 _____ 6 ,5 0 2 5 ,1 1 9 1,382 6 3 ,0 6 4 4 5 ,4 96 2 2 ,5 6 8 5 6 ,1 3 2 I 3 5 ,2 0 0 2 0 ,9 3 2

1 96 9 _____ 6 ,7 1 6 5 ,3 3 2 1,383 7 1,781 4 7 ,9 7 3 2 3 ,8 0 7 5 9 ,£ 4 3 | 3 7 ,1 9 5 2 2 ,0 4 8

1 9 7 0 _____ 7 ,5 7 0 5 ,9 0 9 1,660 7 6 ,1 96 50,8 81 2 5 ,3 1 5 6 2 ,5 3 8 I 3 9 ,5 6 8 2 3 ,4 1 9

1 9 7 1 . . . . 7 ,1 4 3 5 ,4 7 4 1,668 7 9 ,9 96 5 3 ,1 76 2 6 ,8 2 0 6 6 ,0 5 8 I 4 1 , 2 8 3 2 4 ,7 7 5

1 972 _____ 7 , 9 18 6 ,4 0 1 1,516 8 4 ,3 5 9 5 6 ,2 0 0 2 8 , 159 6 9 ,5 6 8 I 4 3 ,7 1 4 2 5 ,9 5 3

1973 _____ 1 0,530 8 ,2 8 9 2 , 2 4 C 9 1 ,1 1 3 6 0 ,9 0 7 3 0 ,2 06 7 5 ,6 3 8 I 4 7 ,3 0 9 2 7 ,3 2 3

1 9 7 4 _____ 1 2,571

_______

9 ,762-, 2 ,8 0 8 99,701 6 6 ,3 9 7

_________

3 2 ,8 3 3 S 3,3 47 | 5 3 ,1 06 30,2 41

Sectors 1 - 4. Agriculture: Constant dollars

(Millions of 1972 dollars)

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k

1

T o t a l | 

________________ | _

E q u i p m e n t S t r u c t u r e s 

_______ _____________

r

T o ta l

_______ ________ | _

E q u i p m e n t I 

___________________

S t r u c t u r e s T o ta l E qu i p m e n t S t r u c t u r e s

1947 _____ $ 6 ,0 4 3 I $ 4 ,2 6 9 $ 1,770

I

$ 5 0 ,5 6 3 I

I

$ 2 4 ,9 5 3 $ 2 5 ,6 1 0 $ 3 9 ,7 8 4 $ 1 9 ,46 6 $ 2 0 ,3 1 7

1 9 4 8 _____ 6 ,9 9 1 | 5 ,3 4 1 1,650 5 4 ,9 8 8 | 2 8 ,6 5 4 | 2 5 ,3 3 4 4 4 , 156 2 3 ,0 1 7 2 1 ,1 3 8

1949 _____ 7 ,2 4 0 | 5 ,641 1,595 5 9 ,6 5 4 | 3 2 ,6 6 5 2 7 ,0 1 8 4 8 ,6 4 9 2 6 ,7 2 9 2 1 ,9 1 9

1950 _____ 7 ,2 0 3 | 5 ,5 6 9 1,633 6 4 ,3 5 6 | 3 6 ,6 0 4 | 2 7 ,7 5 1 * 5 2 ,9 2 2 30, 172 2 2 ,7 4 9

1 9 5 1 . . . . 6 ,7 9 2 ! 5,2 5 1 1,540 6 8 ,5 8 3 | 4 0 ,1 7 7 | 2 8 ,4 0 5 5 6 ,5 3 5 3 3 ,0 3 4 2 3 ,5 0 1

1 95 2 _____ 6 ,0 5 3 | 4 ,4 3 4 1,623 7 1 ,9 5 3 I 4 2 ,7 9 4 | 2 9, 158 5 9 ,1 0 8 3 4 ,7 5 8 2 4 ,3 4 9

1953 _____ 6 ,4 3 7 | 4 ,9 7 9 1,457 7 5 ,4 6 0 | 4 5 ,6 9 8 2 9 ,7 6 2 6 1 ,7 4 0 3 5 ,6 9 2 2 5 ,0 4 7

1 954 _____ 5 , 6 4 1 | 

j

4,231 1,410 7 7 , 8 57 | 4 7 ,5 00 3 0 ,3 3 7 6 3 ,2 5 3 3 7 ,5 3 9 2 5 ,7 1 3

1 95 5 _____ 5 ,7 1 9 | 4 ,3 8 2 1,337 7 9 ,9 1 8 | 4 9 ,0 5 9 3 0 ,8 5 8 6 4 ,5 9 2 33,2 71 2 6 ,3 21

1956 --------- 4 ,9 9 6 I 3 , 6 18 1,373 8 0 ,9 3 7 | 4 9 ,4 9 6 I 3 1 ,4 4 0 6 5 ,0 36 3 3 ,0 50 2 6 ,9 5 5

1957 _____ 5 ,0 1 8 I 3 ,7 4 3 1,274 8 1 ,7 3 9 | 4 9 ,7 9 9 | 3 1 , 9 4 0 6 5 ,4 2 3 3 7 ,8 6 2 2 7 ,5 6 0

1958 _____ 5 ,6 4 0 1 4,3 7 7 1,262 8 3 ,0 3 3 | 5 0 ,5 8 4 | 3 2 ,4 4 9 6 5 ,4 0 6 3 8 ,2 6 9 2 8 ,1 3 7

1959 _____ 5 ,9 2 4 | 4 ,2 6 6 1,658 5 4 ,5 6 3 | 5 1 ,1 86 3 3 ,3 77 6 7 ,6 5 9 3 8 ,5 36 2 9 , 123

1960 _____ 5 ,0 5 1 ! 3 ,5 7 0 1,480 8 5 ,2 1 9 | 5 1 ,0 6 8 3 4 ,1 5 0 6 8 ,0 3 4 3 S , 093 2 9 ,9 4 0

196 1 _____ 5 ,4 5 2 I 3,931 1,520 8 6 ,2 9 2 | 5 1 ,3 0 5 I 3 4 ,9 8 7 6 8 ,8 1 9 3 8 ,0 1 2 3 0 ,8 0 7

1962 _____ 5 ,3 9 5 | 3,7 3 6 1,659 8 7 ,3 1 7 | 51,3 31 | 3 5 ,9 3 5 6 9 ,5 3 2 3 7 ,7 1 4 3 1 ,8 17

1963 _____ 6 ,5 8 5 I 4 ,9 6 2 1,623 8 9 ,5 0 3 | 5 2 ,5 3 4 I 3 6 ,9 6 9 7 1 ,4 11 3 3 ,6 16 3 ? ,7 9 4

1 964 _____ 6 ,4 0 1 | 4 ,8 0 9 1,592 9 1 ,4 4 5 | 5 3 ,5 06 3 7 ,9 4 2 7 3 ,0 4 5 3 9 ,3 06 3 3 ,7 3 8

1 96 5 _____ 7 ,0 5 0 j 5 ,4 0 7 1,642 9 3 ,9 60 | 5 4 ,9 7 5 | 3 8 ,9 3 4 7 5 ,2 7 0 4 0 ,5 4 2 3 4 ,7 27

1966 _____ 7 ,7 0 6 I 5 ,986 1,719 9 7,0 50 | 5 6 ,9 3 4 | 4 0 ,1 1 5 7 8 ,0 7 6 4 2 ,2 9 3 3 5 ,7 8 2

1 9 5 7 _____ 8 ,0 6 6 | 6,101 1, 9 65 100,431 I 5 8 ,9 3 2 I 4 1 ,4 9 9 8 1 ,1 3 6 4 4 ,0 6 7 3 7 ,0 6 8

1968 _____ 7 ,8 4 1 | 5 ,9 7 3 1,868 103,516 I 6 0 ,7 26 I 4 2 ,7 9 0 8 3 ,8 3 6 4 5 ,5 9 7 3 8 ,2 3 8

1 9 6 9 _____ 7 , 7 2 3 | 

j

6 ,0 0 5 1 ,7 18 106,392 I 6 2 ,4 60 43,9 31 8 6 ,2 5 7 4 7 ,0 2 0 39,2 37

1 9 7 0 _____ 8 ,2 9 1 | 6 ,4 0 2 1,389 109,712 | 6 4 ,4 7 3 I 4 5 ,2 3 9 8 5 ,0 6 2 4 S ,681 4 0 ,3 8 0

197 1 _____ 7 ,6 3 7 | 5 ,8 7 3 1,763 112,222 6 5 ,8 0 9 I 4 6 ,4 1 3 9 1 ,0 0 9 4 9 ,6 3 9 4 1 ,3 6 9

1972 _____ 7 ,9 1 8 I 6 ,4 0 1 1,515 114,837 | 6 7 ,5 1 0 | 4 7 ,3 2 7 9 3 ,0 5 3 5 0 ,9 7 3 4 2 ,0 8 0

1 9 7 3 . . . . 10,191 | 8 ,1 1 1 2 ,0 8 0 119,551 | 7 0 ,7 6 4 4 8 ,7 8 7 9 7 ,1 94 5 3 ,8 7 4 4 3 ,3 2 0

1 9 7 4 _____

_______________

1 0,670 |

__________ L .

8 ,4 8 1 2, 189 1 24,603 I

__________ L

7 4 ,2 6 9 5 0 ,3 3 4

____________________

1 01,603 5 6 ,9 7 0 4 4 ,6 3 3

46

Digitized for FRASER 

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Federal Reserve Bank of St. Louis
(Millions of dollars)

Sector 5. Iron and ferroalloy ores mining: Historical dollars

*--------------------------r

—

G ro ss in v e s tm e n t

—

G ro ss s to c k s N et s to c k s

i T o ta l

—

E q u i p m a n t S t r u c t u r e s T o ta l Equ i pment S t r u c t u r e s

I

T o t a l | E q u i p m e n t 

I

S t r u c t u r e s

i

1 94 7 _____ I $ 2 9 $ 5 $23 $108 $66 $4 1

I

$90 | $49 $40

1 9 4 8 . . . . i 4 2 12 2 9 144 7 3 7 0 125 | 5 5 6 9

1 9 4 9 . . . . I 3 6 10 2 5 172 7 7 9 5 153 | 5 9 9 4

i

1 9 5 0 . . . . I 4 2 1 1 3 0 207 8 2 125 187 I 6 3 123

1 9 5 1 . . . . I 2 4 4 2 266 9 9 167 245 I 8 1 164

1 9 5 2 _____ i 4 4 10 3 3 303 103 199 230 I 8 4 196

1 9 5 3 . . . . I 4 9 1 1 3 7 34 5 108 236 320 I 8 7 l 62

1954 _____ i 1 0 0 3 4 6 5 437 136 30 1 4 0 9 I 

j

113 296

I

1 9 5 5 . . . . I 12 1 5 1 6 9 551 18 1 370 518 I 155 363

1956 . . . . I 2 6 2 2 3 569 176 392 529 I 145 384

1 9 5 7 . . . . I 3 3 9 2 3 592 177 4 15 546 I 142 404

1953 . . . . I 5 6 2 1 3 4 6 3 8 139 449 584 | 149 435

1 9 5 9 . . . . I 9 1 3 6 5 4 7 17 214 503 655 | 169 436

I

1 9 6 0 . . . . I 110 3 9 7 0 812 240 572 742 I 190 552

1 9 6 1 . . . . I 107 3 1 7 5 9 C 3 255 647 824 I 202 622

1 9 6 2 . . . . i 1 1 1 2 6 8 4 995 264 730 907 | 207 700

1 9 6 3 . . . . | 1 15 2 1 9 6 1,092 266 825 996 | 207 739

1 9 6 4 . -------- | 1 6 8 4 1 126 1,239 288 950 1,133 | 226 906

I

1 9 6 5 . . . . I 1S 6 5 6 129 1,402 325 1,076 1,284 | 259 1, 025

1 9 6 6 . . . . I 1 15 3 6 7 8 1,452 340 1,15 1 1,360 I 269 1,090

1967 _____ I 1 2 7 4 8 7 8 1,592 366 1,225 1,445 I 29 1 1 , 1 5 4

1968. . . . i 519 225 293 2 ,081 568 1,513 1,918 i 487 1,430

1969 _____ i 4 8 2 213 268 2 ,5 3 0 756 1,774 2 , 3 4 3 | 

j

664 1,679

I

1 9 7 0 . . . . I 162 6 3 9 8 3 : 6 5 6 793 1,863 2 ,4 3 7 | 683 1,754

1 97 1 _____ i 321 1 4 2 173 7. =37 90'- 2 ,0 - 0 2 ,6 8 1 | 775 1 , 9 0 6

1972 _____ I 1 14 3 3 7 5 3 , . C 6 9 13 2 , " 7 3 2 ,7 0 6 I 753 1 , 9 5 2

1 9 7 3 . . . . I 7 5 15 6 2 3,031 89 1 2 ,1 4 0 2 ,6 8 1 I 6 98 1, 982

1 9 7 4 _____ |

_______________ L

1 8 9 6 2 126 3, 153 904 2 ,2 4 8

_____________________

2 ,7 5 4 |

________________ l____

68 1 2 ,0 7 3

Sector 5. Iron and ferroalloy ores mining: Constant dollars

(Millions of 1972 dollars)

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

I

T o t a l | E q u i p m e n t S t r u c t u r e s

I

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1 9 4 7 _____ $62 I $ 1 1 $5 1 $301 I $193 $108 $245 $ 140 $104

1948 . . . . 83 | 2 4 5 8 365 | 200 165 307 146 160

1949 _____ 7 1 I 19 5 1 416 i 200 216 358 147 2 10

1 9 5 0 _____ 83 | 2 0 6 3 480 | 202 277 421 149 27 1

195 1 _____ 1 18 I 4 0 7 7 577 I 223 353 5 18 172 346

1 95 2 _____ 76 | 17 5 9 634 | 222 4 1 1 574 172 402

1 953 _____ 84 | 18 6 6 700 I 223 476 638 172 465

1954 . . . . 173 | 5 4 119 856 | 26 1 594 789 209 580

1 9 5 5 . . . . 205 | 7 9 125 1,043 | 325 7 18 97 1 269 70 1

1956 . . . . 42 | 3 3 8 1,068 | 3 12 755 985 250 735

1957 . . . . 49 | 12 3 7 1,098 | 307 79 1 1,005 238 766

1 953 _____ 83 | 2 7 5 6 1,161 | 3 15 846 1,057 240 8 16

1 9 5 9 _____ 135 | 4 5 8 9 1,274 | 340 934 1,153 259 893

1 9 6 0 _____ 166 | 4 9 116 1,415 I 365 1,049 1,285 278 1,006

196 1 _____ 164 I 3 9 125 1,550 I 377 1 , 1 7 2 1,403 287 1,12 1

1 962 _____ 17 1 I 3 3 138 1,690 | 38 1 1,308 1,535 288 1,247

1 9 6 3 . . . . 182 | 2 7 155 1,838 | 377 1,460 1,671 283 1,337

1 9 6 4 _____ 252 | 5 2 199 2 ,0 5 5 i 399 1,656 1,874 303 1,570

1 9 6 5 . . . . 270 I 7 0 199 2 ,2 8 8 i 439 1,849 2 ,0 9 0 34 1 1,749

1966 . . . . 160 | 4 5 115 2 ,4 1 0 | 453 1 , 9 5 7 2 ,1 9 2 352 1,840

1 9 6 7 _____ 169 | 5 8 1 1 1 2 ,5 3 8 I 479 2 ,0 5 9 2 ,2 9 8 373 1, 924

1 9 6 8 _____ 655 | 258 396 3 ,1 4 9 | 705 2 ,4 4 3 2 ,8 8 4 594 2 , 2 8 9

1 9 6 9 _____ 570 | 237 333 3 ,6 7 1 | 909 2 ,7 6 1 3 ,3 7 1 786 2 ,5 8 5

1 9 7 0 _____ 179 I 6 7 112 3 ,7 9 7 | 942 2 ,8 5 5 3 ,4 5 4 7 98 2 ,6 5 6

197 1 _____ 335 | 146 188 4 ,0 7 2 | 1,050 3 ,0 2 2 3 ,6 8 2 883 2 ,7 9 8

1972. .. . 1 14 I 3 8 7 5 4 ,1 2 0 I 1, 048 3 ,0 7 2 3 ,6 7 3 850 2 ,8 2 3

1 9 7 3 . . . . 73 I 15 5 8 4 ,1 1 6 I 1,015 3 ,1 0 0 3 ,6 0 8 782 2 ,8 2 5

1974. .. . 154 |

_____________ I____

5 5

________________

9 8 4 ,1 7 5 i

I

1,010 3, 165

__________________

3 , 6 10 746 2 ,8 6 3

Digitized for FRASER 

4 7

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
(Millions of dollars)

Sector 6. Nonferrous metal ores mining: Historical dollars

—

Y ear

—

Gross

—

i r . v e s t m e n t G ro ss scou!

—

5 H at s to c k s

|

T o t a l I E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1 9 3 7 . . . . $56 ! $ IS $39 $239 $ 196 $93 $236 $ 159 $87

1 9 3 8 _____ 93 I 3 5 5 7 353 2 15 159 303 166 152

1 93 9 _____ 5 1 1 13 3 7 395 2 10 185 337 160 177

1 9 5 0 _____ 6 8 | 2 0 5 7 553 2 12 230 383 160 222

1 9 5 1 . . . . 90 1 2 9 6 5 512 218 295 550 165 285

1952 _____ 5 9 I 17 5 1 560 216 353 595 16 1 533

1953 _____ 99 1 3 5 5 588 200 587 518 152 376

1 9 5 4 . . . 117 I 3 3 S 3 682 213 569 6 10 155 555

1955 . . . . 105 I 2 5 7 9 763 216 556 688 157 531

1956 _____ 9 3 | 1 5 1 78 1 195 586 705 136 567

1957 _____ 1 56 I 5 5 1 10 9 12 217 695 S35 16 1 673

1 95 6 _____ 1S1 I 5 5 135 1,069 250 323 988 135 302

1 95 9 _____ 2 99 I 8 0 168 1,295 300 995 1,208 255 963

1960 . . . . 254 | 9 3 160 1,527 373 1,155 1,531 3 15 1,115

1 9 6 1 . . . . 202 I 7 5 126 1,707 529 1,273 1,596 365 1,232

1962. .. . 178 | 6 6 1 1 1 1,863 576 1 , 3S7 1,732 50 1 1,331

1 9 6 3 . . . . 159 I 5 5 9 9 1 , 9 9 3 510 1,583 1,837 520 1,516

1 96 3 _____ 2 30 I 10 1 128 2 , 196 588 1,607 2 ,0 0 9 580 1,529

1 95 5 --------- 2 78 | 130 157 2 ,5 5 0 690 1,759 2 ,2 1 9 56 1 1,657

1966 . . . . 206 I 8 3 122 2 ,6 0 2 737 1,865 2 ,3 5 5 587 1,758

1967 . . . . 258 I 109 138 2 ,7 9 6 800 1 , 9 9 6 2 ,5 0 3 63 1 1,872

1968 . . . . 970 | 259 220 3 ,2 0 2 996 2 ,2 0 6 2 ,8 7 5 SC 9 2 ,0 6 5

1 969 _____ 2 30 | 8 1 153 3 ,3 5 8 1,015 2 ,3 5 2 2 ,9 9 0 809 2 , 180

1 9 7 0 . . . . 355 | 163 195 3 ,6 3 3 1,111 2 ,5 2 1 3 ,2 2 5 886 2 ,3 3 8

197 1 _____ 2 98 I 1 16 18 1 3 ,8 3 9 1, 155 2 ,6 8 5 3 ,3 8 5 908 2 ,5 7 7

1972. .. . 368 162 205 5 ,1 0 6 1,238 2 ,8 6 8 3 ,6 0 5 968 2 ,6 3 6

1 9 7 3 _____ 6 00 I 31 1 288 5 ,5 9 5 1,563 3 ,1 3 1 5 ,0 3 9 1, 167 2 ,8 7 2

1979 _____ 6 16 j

________________ 1____

2 6 3 357 5 ,0 8 2 1,635 3 ,5 5 8 5 ,5 7 0

________________

1 ,309 3 ,1 6 1

Sector 6. Nonferrous metal ores mining: Constant dollars

(Millions of 1972 dollars)

Y ear

—

G ro ss in v a s tm e i t

—

G ro ss s to c k s N et s to c k s

T o ta l E qu i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t

I--------------------------------------

S t r u c t u r e s

1957 _____ $ 121 $35 $87 $815 $522 $293 $650 $386

—

$265 1958 . . . . 185 6 9 115 953 55 1 50 1 775 503 37 1 1 9 5 9 . . . . 10 1 2 5 7 6 986 515 57 1 817 376 550

1950 . . . . 135 3 6 9 3 1,063 500 5 6 3 893 362 53 1 1 9 5 1 . . . . 159 3 9 120 1, 165 588 677 995 35 1 652

1 9 5 2 . . . . 120 2 8 9 1 1,228 566 762 1,055 329 725

1 9 5 3 . . . . 8 5 5 8 0 1,257 521 836 1, 08 1 285 796

1 9 5 5 . . . . 205 5 1 152 1,503 521 98 1 1,227 289 938

1 555 _____ 1 8 2 3 8 153 1,527 508 1,118 1 , 3 5 2 2S 1 1,071

1 9 5 6 . . . . 7 0 1 6 8 1,550 359 1 , 1 8 0 1,367 239 1,127

1 9 5 7 . . . . 255 5 9 175 1,720 370 1,350 1,559 259 1,290 1 9 5 8 . . . . 279 5 7 22 1 1, 957 382 1,565 1,777 28 0 1,597 1959. .. . 379 100 278 2 ,2 7 9 552 1,837 2 , 105 355 1,760

1 9 6 0 _____ 3 8 2 116 266 2 , 6 18 521 2 ,0 9 6 2 ,5 3 2 525 2 ,0 0 7

1 9 6 1 . . . . 305 9 5 209 2,8 8 1 582 2 ,2 9 9 2 ,6 7 5 580 2 ,1 9 5

1 9 6 2 . . . . 2 6 6 8 3 182 3, 106 633 2 ,5 7 3 2 ,3 7 3 520 2 ,3 5 2 1 9 6 3 . . . . 229 6 o 160 3 ,2 9 3 669 2 ,6 2 5 3 ,0 2 5 55 1 2 ,5 8 5 1 S 6 5 . . . . 330 127 203 3 ,5 7 7 76 1 2 , 8 16 3 ,2 6 8 6 13 2 ,6 5 5

1 9 6 5 _____ 3 9 0 162 227 3 , 9 13 883 3 ,0 2 9 3 ,5 5 7 7 12 2 ,8 5 5 1 9 6 6 . . . . 283 102 181 5, 130 936 3, 195 3 ,7 2 3 739 2 , 9- 8 3

1 9 6 7 . . . . 325 129 196 5 ,3 7 6 1,005 3 ,3 7 1 3 , 9 17 786 3,1 3 1

1 9 6 8 . . . . 580 282 293 5 ,8 5 5 1,217 3 ,6 5 6 5 ,3 5 5 978 3 ,3 7 6

1969. .. . 273 8 9 135 5 :0 3 2 1,228 3 ,8 0 3 5 ,5 6 6 967 3 ,5 9 9

1970 _____ 3 9 5 173 22 1 5; : c s 1 , 3 0 3 , 9 9 2 5 ,6 8 6 1,033 3 ,6 5 3

1 9 7 1 . . . . 3 1 1 119 192 5, h i 9 1,351 5 , ' 7 5 ,8 0 7 1,037 3,7 7 0

1 97 2 _____ 3 6 8 162 205 5 , 7 15 1,505 5 ,3 0 9 5 ,9 6 9 1,076 3 ,8 9 2 1 9 7 3 . . . . 57 1 303 267 6 , 127 1,601 5 ,5 2 5 5 ,3 1 6 1,258 5 ,0 6 8

1 9 7 5 . . . .

_______________

5 1 0 239 27 1 6 ,5 5 8

____________

1 ,721

________________

5 ,7 3 7 5 ,5 8 1 1,352 5 ,2 3 9

48

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
(Millions of dollars)

Sector 7. Coal mining: Historical dollars

Y ea r

G ro ss in v e s tm e n t G ross s to c k s Net s to c k s

I T o t a l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t

—

S t r u c t u r e s T o ta l Equ i p m e n t S t r u c t u r e s

1997 _____ $ 272 $152 $79 $837 $737 $ 1 50 $726 $536 $140

1 9 9 8 _____ I 350 293 10 1 1, 186 937 299 1,006 768 238

1 999 _____ 1 5 9

j

1 12 9 6 1,286 992 293 1,086 809 28 1

1950 _____ 3 9 7 282 1 19 1 ,6 17 1,211 905 1,398 1,005 392

1 9 5 1 . . . . 1 1 7 1 1 19 5 1 1 , 7 18 1,263 959 1,972 1,032 44 0

1952 _____ I 171 1 19 5 1 1 , 8 15 1,311 503 1,536 1,099 437

1953. .. . 5 6 6 9 3 1 1,831 1,298 532 1 ,5 13 999 5 14

1959 _____ 1 14

1

7 1 4 2 1,853 1,230 572 1,997 995 551

1955 _____ ; 6 6 3 7 2 8 1,812 1,213 598 1,922 897 574

1 9 5 6 . . . . 121 6 9 5 1 1,305 1,158 697 1,397 776 620

1957 _____ 2 7 0 163 106 1,931 1 , I S O 750 1,521 800 720

1958 _____ 2 0 2 1 1 1 9 0 1, 973 1,139 838 1,580 775 804

1 9 5 9 _____ I 256 

j

155 100 2 ,0 7 7 1,19 1 936 1,702 305 897

I 9 6 0 . . . . 197 123 7 3 2 ,1 2 6 1,119 1,007 1,779 8 12 96 1

196 1 _____ 29 1 19 1 9 9 2 ,2 8 9 1 , 1 8 0 1,103 1 , 9 9 7 896 1,051

1 96 2 --------- 2 9 9 177 7 1 2 , 9 15 1,293 1,17 1 2 ,0 8 0 968 1,111

1 9 6 3 _____ 1 2 17 160 5 6 2 ,5 2 7 1,302 1,229 2 , 176 1,020 1,155

1969. .. . 637 932 159 3 ,0 6 3 1,689 1,379 2 ,6 3 9 1,389 1,295

1965. .. . 256 179 7 6 3 ,2 1 5 1,770 1,995 2 ,7 8 9 1,935 1,354

1 9 6 6 . . . . 1 9 6 3 330 132 3 ,5 6 6 1 , 9 9 5 1,570 3,0 8 6 1 , 6 19 1 , 4 6 7

1967 . . . . 333 229 103 3 ,7 7 3 2 ,1 0 3 1,670 3 ,2 3 3 1,679 1,553

1 9 6 8 _____ 2 5 9 16 1 9 7 3,891 2 ,1 3 9 1,757 3 ,2 8 5 1,659 1,626

1 9 6 9 _____ 330 2 0 9 125 9 ,0 6 2 2,191 1,870 3 ,3 8 9 1,669 1,724

1 9 7 0 _____ 1 ,070 775 299 9 ,9 9 9 2 ,7 9 3 2 , 150 9 , 2 19 2 ,2 2 5 1,933

197 1 _____ 6 9 2 967 229 5 ,9 3 3 3 ,0 7 9 2 ,3 5 3 9 ,6 2 5 2 ,9 9 6 2 ,1 7 9

1972. .. . 728 983 299 5 ,9 2 7 3 ,3 9 3 2 ,5 8 3 5 ,0 9 9 2 ,6 6 3 2 ,3 3 5

1 9 7 3 _____ 1 ,111 770 390 6 ,7 8 2 3 ,880 2 ,9 0 2 5 ,8 3 3 i 3 ,1 4 9 2 ,6 5 3

1979. .. . 1,313 90 1 9 1 1 7 ,8 2 5 9 ,5 3 7 3,2 8 8 6 ,7 8 5 3 ,736

_________

3 ,0 4 8

Sector 7. Coal mining: Constant dollars

(Millions of 1972 dollars)

Year

Gross investment t

L

Gross stacks

j

Total | | Equipment i Structures 1 l_ Total I I

Equipment I Structures

1 947 .... i $6 46 I $475 I $17 1 I $2,773 ! $2,327 $446

1948.... I 753 I 559 | 194 j 3,335 I 2,704 I 63 1

1 949. .. . I 328 I 238 90 | 3,446 | j

2,734 | 7 12

1950.... ! I

810 | 573 I 237 | 4,022 I 3,082 I 939

1951.... ! 312 I 219 I 93 4,092 I 3,069 I 1,023

1952. . . . I 306 I 216 | 89 I 4,154 1 3,05 1 1,103

1953 __ 1 168 I 113 I 54 I 4,070 I 2,922 I 1 , 148

1954 __ 1 198 j 122 I 76 I 4,003 i 2,763 | 1,214

1955.... ! 1

114 I 62 | 52 3,330 | 2,573 I 1,257

1 956 ... . I 193 I 107 i £5 ! 3,706 I 2,373 I 1,333

1 957 ... . I 406 I 237 | 168 ] 3,772 1 2,280 I 1,491

1958__ I 3C2 I 157 1 145 I 3,724 I 2,097 I 1,627

1959 __ i 377 l 214 | 162 I j

3,761 | j

1,931 I 1,730

1 960 ... . I 288 I 167 | 120 | 3,737 I 1,346 | 1,891

1961.... ! ^2 1 I 258 | 162 I 3,836 | 1,842 2,043

1962. ... j 352 1 237 I 114 I 4,008 I 1,860 | 2,148

1963 ... . I 3 C 2 1 2 14 I 58 i 4,113 I 1,888 | 2,225

1964 ... . I 874 | 634 | 239 I 4,810 | 2,358 | 2,451

1965.... I 3 43 i 232 I 115 ! 4,983 i 2,43 1 2,55 1

1966.... I 6 12 I 4 19 I 192 I 5,416 | 2,689 | 2,726

1967 ... . I 426 I 276 150 I 5,648 | 2,792 t 2,856

1968 .... I 319 | 139 | 129 | 5,757 | 2,796 I 2,96 1

1 969 __ I 385 I 230 | 155 I 5,909 | 2,821 | 3,038

1970 .... i 1,17 1 I 837 | 333 I 6,817 | 3,426 | 3,39 1

197!.... i 720 I 983 237 7,244 I 3,652 3,592

1972 __ i 728 I 433 i 244 | 7,645 I 3,84 9 3,796

1973.... I 1,065 i 746 I 3 18 8,358 | 4,288 I 4,06 9

1974 ... . i 1,109 I 

1

789 I

_________ L_

319

________

9,C 98 |j

4,760 I

_L

4,338

Total

$ 2 , ISO 2,699 2,77 1

3,320 3,339 

3, 373 3,238 3,122

2,911 2,779 2,872 

2,88 1 2,992

3,093 3,25 I 3,903 3,508 9,179

9,299 9,666 9,823 9,898 9,9 15

5,796 6,087 6,9 12 7,059 7,7 12

T

I

I

Net stocks

Equ i pment Structures

$1,781 $399 2,115 2,109

2,932 2,336 2,328 2, 152 1 , 579

1,725 1,523 1,963 1 , 393 1,310

583 662

SSS 968 1,095 1 , 086 1,193

1,186 1,256 1,909 1,537 1,631

1,261 ! 1,781

1,329 I 1 , 9 2 2

1,391 | 2,011

1,435 I 2,072

1/895 ! 2,28 1

1 , 9 3 8 2,360

2,152 I 2 , 5 13

2,202 I 2,620

2,146 I 2,70 1

2,111 | 2,804

2,666 I 3,079

2,834 | 3,253

2,983 i 3,428

3,382 I 3,67 1

3 , 8 0 2 I 

I

3 , 9 10

Digitized 

4 9

for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 8. Crude petroleum and natural gas: Historical dollars

(Millions of dollars)

Y ea r

G ro ss in v e s tm e n t G ro s s s to c k s N at s to c k s

T o ta l Equ i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l Equ i p m e n t S t r u c t u r e s

1 9 4 7 _____ $ 1,2 51 $324 $926 $ 13 ,21 1 $ 4 ,3 8 2 $ 8 ,8 2 9 $ 1 0 ,9 2 4 $ 3 ,3 0 8 $ 7 ,6 1 6

1948. .. . 1 ,8 14 516 1,297 14,261 4 ,5 3 4 9,7 2 7 11,927 3 ,4 2 5 8 ,5 0 1

1 94 9 _____ 1 ,751 473 1,277 15,247 4 ,6 3 7 1 0,609 12,840 3 ,4 8 2 9 ,357

1 9 5 0 _____ 2 , 127 608 1,518 16,593 4 ,8 5 9 11,733 14,099 3 ,6 5 8 10,441

1951 _____ 2 ,3 8 8 6 10 1,777 13, 177 5 ,0 6 1 13,116 15,585 3 ,8 1 8 11,766

1 9 5 2 _____ 2 , 7 5 4 707 2,046 2 0 ,1 0 2 5 ,3 4 0 14,762 17,399 4 ,0 6 3 13,336

1 95 3 _____ 2 ,7 7 9 580 2 , 198 2 2 ,0 2 6 5 ,4 7 7 16,548 19,195 4 ,1 6 3 15,027

1 95 4 _____ 2 /9 9 2 6 10 2 ,3 8 1 2 4 ,1 4 0 5 ,6 3 7 18,503 2 1 ,1 5 8 4 ,2 9 3 16,864

1 955 _____ 3 ,5 0 0 83 1 2 ,6 6 8 26,7 41 6 ,0 1 3 2 0 ,7 2 7 2 3 ,5 6 9 4 ,6 2 6 18,943

1956 _____ 3 ,5 9 3 787 2 ,8 0 5 2 9 ,4 0 0 6 ,3 3 7 2 3 ,0 6 3 2 5 ,9 91 4 ,8 8 8 2 1 ,1 0 3

1957 _____ 3 ,6 0 3 8 14 2 ,7 8 8 3 2 ,0 20 6 ,671 2 5 ,3 4 8 2 8 ,3 2 7 5 ,1 4 8 2 3 ,1 7 9

1958 --------- 3 ,2 0 3 687 2 , 5 15 3 4,1 77 6 ,8 5 7 2 7 ,3 2 0 3 0 ,1 5 6 5 ,2 5 2 2 4 ,9 0 4

1959 --------- 3 ,4 7 4 769 2 ,7 0 4 3 6 ,5 2 9 7 ,0 9 9 2 9 ,4 2 9 3 2 ,1 3 9 5 , 4 10 2 6 ,7 2 8

1960 --------- 3 ,3 3 9 787 2,551 3 8 ,6 4 8 7 ,3 2 9 3 1 ,3 1 9 3 3 ,8 5 4 5 ,5 5 8 2 8 ,2 9 6

196 1 --------- 3 ,4 5 3 362 2 ,5 9 5 4 0 ,7 71 7 ,6 0 1 3 3 ,1 70 3 5 ,5 4 5 5 ,7 5 3 2 9 ,7 9 2

1 96 2 --------- 3 ,3 3 2 697 2 ,6 8 4 4 2 ,6 8 7 7 ,6 7 6 35,0 11 3 7 ,0 06 5 ,7 5 7 3 1 ,2 4 9

1 96 3 _____ 2 ,9 9 0 536 2 ,4 0 3 4 4 ,0 6 5 7 , 6 10 3 6 ,4 5 5 3 7 ,9 1 8 5,6 3 1 3 2 ,2 86

1 964 _____ 3 ,5 3 4 875 2 ,7 0 8 4 5 ,8 7 5 7 ,8 0 7 3 8 ,0 6 8 3 9 ,2 7 2 5 ,7 8 6 3 3 ,4 3 6

1 96 5 _____ 3 ,3 8 2 930 2,451 4 7 ,3 1 4 8 ,0 3 7 3 9 ,2 76 4 0 ,2 6 3 5 ,9 8 1 3 4 ,2 8 2

1966 _____ 3 ,7 3 8 976 2,811 4 8 ,9 8 5 8 ,2 9 7 4 0 ,6 8 7 4 1 ,5 0 6 6 ,2 1 0 3 5 ,2 9 5

1 9 6 7 _____ 3 ,5 9 5 858 2,736 5 0.791 8 ,4 2 5 4 1 ,3 6 5 4 2 ,4 0 9 6 ,3 1 1 3 6 ,0 9 3

1968 _____ 3 , 9 8 0 1,053 2,9 1 6 5 H . a 16 8 ,7 5 3 '‘ 3 , 0 6 3 4 3 ,5 6 3 6 ,6 0 9 3 6 ,9 5 4

1 9 6 9 _____ 4 ,5 8 1 1 , 5 18 3 ,0 6 2 5 3 .7 91 9,532 4 4 ,2 5 8 4 5 ,1 9 0 7 ,3 4 5 3 7 ,8 4 5

1970 _____ 3 ,5 4 1 709 2,831 5 4 ,5 3 3 9 ,498 4 5 ,0 8 5 4 5 ,6 4 2 7 ,2 3 5 3 8 ,4 0 6

1 9 7 1 . . . . 3 ,356 692 2 ,6 6 3 5 5 ,0 5 5 9,436 4 5 ,6 1 9 4 5 ,8 0 8 7 ,0 8 8 3 8 ,7 2 0

1 97 2 _____ 4 , 0 9 S 910 3, 187 5 6 ,1 4 7 9,5 7 1 4 6 ,5 7 6 4 6 ,6 3 2 7, 135 3 9 ,4 9 6

1 9 7 3 _____ 4 ,307 875 3 ,4 3 1 5 7 ,3 3 4 9,640 4 7 ,6 9 4 4 7 ,5 8 2 7 ,1 1 6 4 0 ,4 6 5

1 974 _____ 6 ,8 0 3

________________

1 ,383 5 ,4 1 9 6 0 ,9 1 2 10,174 5 0 ,7 3 7 5 0 ,9 6 0 7 ,5 7 9 4 3 ,3 81

Sector 8. Crude petroleum and natural gas: Constant dollars

(Millions of 1972 dollars)

Y ea r

G "o ss in v a s tm e i t G ro ss s to c k s

—

Met s to c k s

T o ta l Equ i p m a n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1947 _____ $ 2 6 14 $700 $ 1 913 $38 760 $12 ,577 $26 182 $31 204 $ 9 18 1 $22 023

1 9 4 8 . . . . 3 4 4 3 1,032 2 4 1 1 3 9 ,622 12 408 2 7 214 3 2 055 9 0 12 2 3 043

1 9 4 9 . . . . 3 332 899 2 432 4 0 398 12 122 2 8 276 3 2 780 8 ,710 2 4 069

1950 _____ 4 0 3 0 1,116 2 9 14 4 1 867 12 048 2 9 8 1 9 3 4 184 8 627 2 5 556

1951 _____ 4 027 1 ,015 3 0 1 2 4 3 3 10 11 854 3 1 455 3 5 565 8 450 2 7 1 15

1 95 2 _____ 4 5 3 9 1, 157 3 382 4 5 240 i i 790 3 3 449 3 7 451 8 439 2 9 0 12

1 9 5 3 . . . . 4 547 937 3 609 4 7 156 1 1 50S 3 5 648 3 9 340 8 239 3 1 100

1 9 5 4 _____ 4 9 7 3 950 4 022 4 9 5 10 11 272 3 8 238 4 1 657 8 094 3 3 562

1 95 5 _____ 5 7 1 1 1,279 4 432 5 2 626 11 4 10 4 1 216 4 4 697 8 3 1 1 3 6 386

1 9 5 6 . . . . 5 3 96 1,107 4 289 5 5 446 n 422 4 4 024 4 7 376 8 366 3 9 009

1957 . . . . 5 182 1,031 4 100 5 3 056 11 44 1 4 6 6 15 4 9 777 8 40 1 4 1 376

1 9 5 8 . . . . 4 70 1 896 3 805 6 0 172 11 295 4 8 877 5 1 6 15 8 249 4 3 365

1 9 5 9 . . . . 4 91/5 987 3 965 6 2 506 11 251 5 1 255 5 3 603 8 188 4 5 4 15

1960 _____ 4 7 8 2 996 3 785 6 4 600 1 1 209 5 3 390 5 5 294 8 129 4 7 165

196 1 _____ D 0 2 9 1,091 3 938 6 6 841 11 249 5 5 591 5 7 088 8 162 4 8 925

1 9 6 2 . . . . 4 889 882 4 006 6 8 8 17 11 068 5 7 748 5 8 576 7 984 5 0 591

1 9 6 3 . . . . 4 443 740 3 703 7 0 193 10 739 5 9 454 5 9 448 7 673 5 1 774

1964 _____ 5 2 5 7 1,097 4 160 7 2 202 10 767 6 1 435 6 0 964 7 736 5 3 227

1 965 _____ 4 8 3 7 1, 157 3 680 7 3 605 10 862 6 2 742 6 1 88 1 7 870 5 4 0 1 1

1 9 6 5 . . . . 5 1 6 7 1, 196 3 970 7 5 144 11 0 10 6 4 134 6 2 956 8 050 5 4 906

1 9 6 7 _____ 4 7 3 5 1,023 3 712 7 6 055 10 997 6 5 058 6 3 437 8 06 1 5 5 375

1 5 6 3 _____ 4 9 8 2 1,219 3 763 7 7 023 11 198 6 5 825 6 4 024 8 276 5 5 748

1969. .. . 5 422 1,683 3 739 7 8 26 1 11 878 6 6 383 6 4 922 3 949 5 5 972

1 9 7 0 _____ 3 9 6 3 756 3 206 7 7 835 11 642 6 6 243 6 4 231 8 666 5 5 565

1 9 7 1 . . . . 3 60 1 709 2 891 7 7 006 11 357 6 5 649 6 3 096 8 325 5 4 77 1

1 9 7 2 . . . . 4 098 910 3 187 7 6 500 11 258 6 5 242 6 2 399 8 173 5 4 226

1 9 7 3 . . . . 3 977 855 3 122 7 5 767 11 030 6 4 687 6 1 535 7 949 5 3 586

1 9 7 4 . . . . 5 058

_

1 ,236 3 822

_____

7 6 025 11 248 6 4 776

_____

6 1 732 8 098 5 3 634

50

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
(Millions of dollars)

sector 9. Stone and clay mining and quarrying: Historical dollars

Y ear

G ro ss in v e s tm e n t

—

G ro ss s to c k s N et s to c k s

T o ta l E qu i p m a n t S t r u c t u r e s T o ta l E qu i p m e n t S t r u c t u r e s T o ta l E qu i p m e n t S t r u c t u r e s

1 94 7 _____ 9 4 5 $30 $14 $213 $176 $36 $ 174 $14 1 $32

1948 _____ 3 0 19 10 229 183 4 5 187 145 4 1

1949 _____ 4 0 2 7 12 254 197 5 6 208 155 5 3

1950 _____ 4 5 3 0 14 283 2 12 7 0 233 167 6 6

195 1 _____ 6 7 4 6 2 0 332 243 8 9 279 194 8 5

1 95 2 _____ 7 0 4 8 2 1 383 274 109 326 22 1 105

1 953 _____ 6 8 4 6 2 1 431 30 1 129 368 243 124

1954 _____ 9 5 6 5 2 9 504 346 153 435 283 152

1 95 5 --------- 1 2 6 8 6 3 9 607 4 1 1 196 530 340 190

1 9 5 6 _____ 12 1 8 2 3 3 703 470 233 6 15 389 226

1957 _____ 1 5 3 105 4 7 829 549 279 727 456 27 1

1 95 8 --------- 1 3 7 8 9 4 7 934 609 325 3 17 50 1 3 16

1 959 _____ 1 4 0 9 2 4 7 1,039 667 372 903 543 360

1960 _____ 8 3 5 2 3 0 1,082 680 40 1 925 537 387

196 1 _____ 1 4 5 9 7 4 7 1,179 732 447 1,003 57 1 431

1962 _____ 1 5 7 108 4 8 1,281 786 494 1 , 0 8 5 6 10 475

1963 --------- 1 6 8 1 18 4 9 1,386 843 542 1,172 652 520

1 964 _____ 2 3 0 169 6 0 1,545 943 60 1 1,316 742 574

1 96 5 _____ 2 0 3 145 5 7 1,672 1,015 657 1,427 802 625

1966 _____ 3 3 7 266 7 0 1, 929 1,204 725 1,667 979 688

1967 _____ 2 1 9 172 4 6 2 ,0 6 5 1,296 768 1,778 1,052 725

1968 _____ 17 1 127 4 3 2 ,1 5 0 1,341 808 1,830 1,071 759

1 96 9 _____ 3 3 0 246 8 3 2 ,3 8 7 1,499 883 2 ,0 3 0 1,199 85 1

1 9 7 0 _____ 3 7 8 236 91 2 ,6 6 2 1,688 974 2 ,2 6 3 1,353 909

1 9 7 1 . . . . 573 446 126 3 ,1 1 9 2 ,0 2 4 1,094 2 ,6 7 1 1,651 1, 020

1972 . . . . 359 254 104 3 ,3 4 4 2, 153 1,191 2 ,8 4 3 1,735 1,107

1 97 3 _____ 6 9 1 567 123 3,886 2 ,5 8 0 1,306 3 ,330 2 ,1 1 8 1,211

1 9 7 4 _____ 5 1 6 423 9 2 4 ,2 3 7 2 ,8 5 0 1,387 3 , 6 13

_______

2 ,3 3 1

_________

1 ,282

Sector 9. Stone and clay mining and quarrying: Constant dollars

(Millions of 1972 dollars)

r

Y e a r

G ro ss in v e s tm e n t G ro ss s to c k s

—

N et s to c k s

j T o t a l Equi pm ent S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l Equi pm ant S t r u c t u r e s

1947 _____ I $ 100 $68 $31 $634 $513 $121 $502 $397 $105

1948 _____ | 6 0 3 9 2 0 649 51 1 138 509 337 121

1949 _____ | 7 8 5 3 2 5 679 519 159 534 391 142

1950 _____ i 8 7 5 7 2 9 7 14 529 185 565 397 168

1 9 5 1 _____ I 1 17 8 0 3 7 779 560 218 626 424 20 1

1 95 2 _____ I 1 1 9 3 1 3 8 844 59 1 252 686 452 234

1953 _____ ! 1 15 7 7 3 7 902 6 16 286 74 1 474 267

1954 _____ | 1 5 9 106 5 3 1,005 669 336 839 523 3 16

1 S 5 5 _____ I 2 0 8 137 7 1 1, 156 753 403 982 600 382

1 9 5 6 _____ | 1 8 4 120 6 3 1,282 820 462 1,097 656 440

1957 _____ I 2 2 0 145 7 5 1,443 909 534 1,241 73 1 509

1958 --------- I 1 9 7 119 7 7 1,577 969 607 1 , 3 5 5 774 58 1

1959 _____ | 1 9 9 120 7 8 1,708 1, 026 681 1,463 8 10 652

I 9 6 0 _____ j 1 18 6 7 5 0 1,752 1,023 728 1,481 785 695

1961 _____ I 2 0 4 126 7 8 1,874 1,071 803 1,579 8 13 765

1 9 6 2 _____ I 2 1 9 14 C 7 9 2 ,0 0 1 1, 122 878 1,684 848 836

1 9 6 3 --------- I 2 3 2 153 7 9 2 ,1 3 1 1 , 1 7 7 953 1,796 890 905

1 9 6 4 _____ | 3 12 216 9 5 2 ,3 3 3 1,288 1, 044 1,983 993 989

1965 _____ I 2 7 2 184 8 8 2 ,4 9 1 1,363 1,128 2, 125 1,060 1,065

1 9 6 6 _____ | 4 3 6 332 104 2.8 1 1 1,584 1,226 2 ,4 2 4 1,270 1,154

1 9 6 7 _____ I 2 7 5 209 6 5 2 , 9 o 3 1,682 1,285 2 ,551 1,348 1,203

1 9 6 8 _____ I 2 0 7 148 5 8 5 4 1 ,7 1 / 1,337 2 ,5 9 8 1,354 1,243

1969 _____ | 3 8 0 276 103 3 , 3 06 1,874 1, .3 1 2 ,8 0 4 1,479 1,325

1970 _____ I 4 12 308 104 3 ,5 7 8 2 ,0 5 3 1,525 3 ,0 2 4 1 ,6 18 1,405

1 9 7 1 . . . . I 592 458 133 4 , 0 14 2 ,3 6 8 1,646 3 ,4 0 3 1,890 1,513

1 9 7 2 _____ I 359 254 104 4 ,1 9 6 2 ,4 6 0 1,736 3 ,5 2 5 1 , 9 3 8 1,587

1 973 _____ I 6 6 7 553 114 4 ,6 6 7 2 ,8 3 4 1,833 3 ,9 3 9 2 ,2 7 0 1,669

1 9 7 4 _____ | 4 4 8 375

_____________________

7 2

_____________________

4 ,9 0 2

________________

3 ,0 1 6 1,885 4 ,1 0 8 2 ,4 0 4

______

1 ,704

51

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 10. Chemical and fertilizer mineral mining: Historical dollars

(Millions of dollars)

Y ea r

G ross in v e s tm e n t

—

G ro ss s to c k s

---------------------------------------------------------------------------------------------------------

N et s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m a n t S t r u c t u r e s

1 94 7 _____ $ 1 8 $ 9 $8 $73 $54 $18 $60 $43 $17

1 94 8 _____ 14 6 7 8 2 5 6 2 5 68 4 5 2 3

1 9 4 9 _____ 17 9 7 9 4 6 1 3 2 7 9 4 9 3 0

1950 _____ 19 10 8 107 6 7 3 9 91 5 3 3 7

1 95 1 _____ 2 6 14 1 1 127 7 7 5 0 109 6 1 4 8

1 952 _____ 2 6 14 1 1 146 8 5 6 0 127 68 5 8

1 95 3 --------- 2 8 15 12 167 9 5 7 2 146 7 6 6 9

1954 _____ 3 6 21 14 196 110 86 172 8 9 8 3

1 95 5 _____ 4 3 3 0 12 230 133 9 7 204- 1 10 9 4

1956 _____ 3 7 2 5 1 1 253 150 108 228 124 104

1957 _____ 4 8 3 5 12 297 177 119 262 147 115

1958 _____ 4 1 3 3 7 327 20 1 126 237 166 121

1 95 9 _____ ' 4 2 3 0 1 1 357 220 137 311 180 131

1960 _____ 3 1 18 12 375 226 148 321 179 142

1 9 6 1 . . . . 5 5 3 4 20 414 246 168 353 192 160

1 96 2 _____ 6 2 3 6 2 5 458 265 192 389 205 184

1 96 3 _____ 7 0 3 7 3 2 507 283 224 431 2 17 214

1964 _____ 1 0 3 5 9 4 3 586 319 266 503 249 254

1 96 5 _____ 1 0 5 5 7 4 7 664 35 1 313 575 276 298

1 9 6 6 _____ 210 130 7 9 845 454 391 749 375 374

1967 _____ 1 4 3 8 0 6 2 958 506 45 1 851 4 19 43 1

1 96 8 _____ 5 1 14 3 6 978 492 486 856 394 462

1969. .. . 4 5 12 3 2 989 473 516 852 363 488

1970 _____ 1 3 2 8 0 5 1 1,085 520 564 93 1 398 533

197 1 _____ 1 3 3 8 9 4 3 1, 176 572 604 1,003 435 568

1 972 _____ 9 3 66 2 6 1,219 592 626 1,030 444 586

1 973 _____ 3 9 0 326 6 3 1,551 865 685 1,350 7 10 640

1 974 _____ 1 8 1 138 4 2 1,668 946 722 1,450 778 671

Sector 10. Chemical and fertilizer mineral mining: Constant dollars

(Millions of 1972 dollars)

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o t a l | E q u i p m e n t S t r u c t u r e s

1947 _____ $ 4 0 $22 $18 $2 18 $ 159 $59 $175 I $124 $5 1

1 94 8 _____ 2 8 13 14 232 160 7 1 186 I 122 6 3

1 94 9 _____ 3 4 19 15 250 166 8 4 202 | 126 7 5

1950 _____ 3 7 20 17 27 1 172 9 9 220 | 130 9 0

1 951 _____ 4 6 2 5 20 300 182 1 17 247 | 138 108

1 95 2 _____ 4 5 2 5 20 327 192 135 272 | 146 126

1 953 _____ 4 8 2 6 2 1 356 20 1 154 299 I 153 145

1 954 _____ 6 2 3 6 2 6 398 220 178 338 | 170 168

1 95 5 _____ 7 2 5 0 22 4 5 0 251 198 387 | 199 187

1 9 5 6 _____ 5 8 3 9 18 486 272 2 14 420 I 216 203

1957 _____ 7 0 5 1 19 535 303 232 464 I 244 220

1 958 _____ 5 8 4 6 12 57 1 329 24 1 493 I 264 229

1 95 9 _____ 6 0 4 1 18 608 349 253 522 | 277 244

1960 _____ 4 5 2 4 20 627 351 276 532 I 270 26 1

1 9 6 1 . . . . 7 9 4 6 3 3 679 370 308 574 | 282 291

1 962 _____ 9 0 4 8 4 1 738 38 9 348 623 | 294 329

1963 _____ 102 4 9 5 2 804 406 393 681 | 3C4 376

1 964 _____ 1 4 6 7 7 68 9 1 1 446 465 780 | 341 439

1 96 5 _____ 1 4 7 7 4 7 3 1,017 481 535 878 | 372 506

1 9 6 6 _____ 2 8 2 165 117 1,255 605 650 1,109 I 492 6 16

1 9 6 7 _____ 1 8 7 9 8 88 1,397 662 735 1,233 | 541 696

1 9 6 8 _____ 66 16 4 9 1 , 4 17 637 780 1,241 | 505 736

1 9 6 9 _____ 5 4 14 4 0 1,424 608 8 15 U 2 2 7 I 462 765

1 9 7 0 _____ 1 4 5 86 5 8 1,518 649 868 1,300 I 489 811

197 1 _____ 1 3 8 9 2 4 6 1,599 69 1 907 1,358 | 5 14 843

1 9 7 2 _____ 9 3 66 2 6 1,624 697 926 1,363 I 508 854

1 97 3 _____ 3 7 5 317 5 8 1 , 9 2 2 945 976 1,648 I 750 897

1974 _____ 1 5 4

________________

121 3 3 1,991 991 1,000 1,702 |

________________ I____

7 8 9 912

5 2

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
(Millions of dollars)

Sectors 11 and 12. New and repair construction: Historical dollars

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E qu i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1947 _____ $ 445 $396 $48 $ 1 ,7 1 8 $ 1 ,4 8 3 $235 $ 1 ,4 3 0 $ 1 ,2 2 9 $200

1948 _____ 4 6 0 409 5 0 2,0 7 6 1,796 280 1,766 1,522 243

1 94 9 _____ 3 6 8 327 4 0 2 ,3 4 3 2 ,0 2 8 3 15 1,992 1,715 276

1950 _____ 5 0 0 445 5 4 2 ,7 4 0 2 ,3 7 7 363 2 ,3 2 8 2 ,0 0 4 323

1 95 1 _____ 6 0 9 542 6 6 3 ,2 3 6 2 ,8 1 3 422 2 ,7 3 6 2 ,3 5 4 382

1 95 2 _____ 5 8 5 521 6 3 3 ,6 8 0 3 ,2 0 1 479 3,0 7 6 2 ,6 3 9 437

1 95 3 _____ 4 0 0 356 4 3 3,9 0 1 3 ,3 8 5 515 3, 187 2 , 7 15 47 1

1 9 5 4 _____ 6 0 0 534 6 5 4 ,2 7 8 3 ,7 0 4 573 3 ,4 6 0 2 ,9 3 2 528

1 95 5 _____ 9 0 7 808 9 8 4 ,9 1 7 4 ,2 5 3 664 4 ,0 0 2 3 ,3 8 4 6 17

1956 _____ 921 8 2 0 100 5 ,5 2 8 4 ,7 7 2 756 4 ,5 1 3 3 ,8 0 5 708

1957 _____ 1 ,235 1, 100 134 6 ,411 5 ,5 2 8 883 5 ,2 9 7 4 ,4 6 5 832

1 95 8 --------- 1 ,058 983 7 4 7,0 8 1 6 ,131 949 5 ,8 5 4 4 ,9 5 8 896

1 95 9 _____ 1 ,385 1,246 138 8 ,0 4 5 6 ,9 6 6 1,079 6 ,6 8 7 5 ,6 6 3 1,023

1960 _____ 1 ,263 1,161 101 8 ,8 5 4 7 ,6 8 0 1,173 7 ,3 2 9 6 ,2 1 5 1,113

196 1 _____ 1 ,276 1, 126 149 9,6 2 8 8 ,3 1 3 1,314 7 ,9 0 7 6 ,6 5 6 1,251

1962 _____ 1 ,626 1,430 195 10,689 9, 187 1,502 8 ,7 5 2 7 ,3 1 9 1,433

1 96 3 _____ 1 ,701 1,496 204 11,745 10,046 1,699 9 ,5 7 9 7 ,9 5 5 1,623

1 96 4 _____ 1 ,708 1,502 205 12,717 10,820 1,896 10,321 8 ,5 0 7 1,813

1 9 6 5 _____ 1 ,783 1,586 196 13,672 11,587 2 ,0 8 5 1 1,052 9 ,0 5 9 1,993

1 9 6 6 _____ 1 ,764 1,410 353 i 4 ,322 12,092 2 ,4 5 0 11,681 9 ,3 5 3 2 ,3 2 8

1 9 6 7 _____ 1 , 6 13 1,318 294 1 5 , :33 i 2 , 4 2 1 2 , ' 17 12,084 9 ,4 8 3 2 ,6 0 1

1 96 8 _____ 1 ,861 1,522 338 15,920 12,873 3 ,0 4 6 12,669 9 ,7 5 4 2 ,9 1 5

1 969 _____ 1 ,972 1 , 6 15 356 16,726 13,332 3 ,3 9 3 13,300 10,056 3 ,2 4 4

1970 _____ 1 ,846 1,513 332 17,326 13,611 3 ,7 1 5 1 3,749 10,202 3,5 4 6

197 1 _____ 2 , 5 18 2 ,066 45 1 18,530 14,375 4, 155 14,830 10,866 3 ,9 6 3

1 972 _____ 2 ,9 4 5 2 ,4 1 9 525 2 0 ,1 1 0 15,443 4 ,6 6 7 16,289 11,839 4 ,4 5 0

1973 _____ 2 , 6 10 2, 144 465 2 1 ,3 2 2 16,204 5 ,1 1 7 17,352 12,481 4 ,8 7 1

1974 _____

________

2 ,6 8 9 2 ,2 0 9 479 2 2 ,5 8 2 17,002 5 ,5 7 9

__________

1 8,432 13,131 5 ,3 0 0

Sectors 11 and 12. New and repair construction: Constant dollars

(Millions of 1972 dollars)

Y ear

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1947 _____ $ 981 $876 $ 104 $ 4 ,9 8 6 $ 4 ,0 8 4 $902 $ 3 ,9 6 9 $ 3 ,2 3 6 $733

1948 . . . . 922 825 9 7 5 ,5 4 2 4,571 97 1 4 ,5 0 7 3 ,7 0 8 799

1 94 9 _____ 7 0 5 626 7 8 5 ,8 9 5 4 ,8 7 5 1,020 4 ,8 0 5 3 ,9 5 8 847

1950 . . . . 949 837 112 6 ,5 0 2 5 ,4 0 0 1,102 5 ,3 1 0 4 ,3 8 2 927

1951 . . . . 1,052 951 120 7 ,2 0 0 6 ,0 0 8 1,192 5 ,8 5 7 4 ,8 4 1 1,015

1 9 5 2 . . . . 977 867 1 10 7 ,7 7 5 6 ,5 0 4 1,27 1 6 ,2 5 5 5, 162 1,092

1 9 5 3 . . . . 669 593 7 5 7 ,9 6 7 6 ,6 5 2 1,315 6 ,2 7 6 5 , 141 1,135

1 95 4 _____ 9 8 8 870 1 18 8 ,4 0 0 7 ,0 0 0 1,400 6 ,5 6 5 5 ,3 4 6 1,219

1 9 5 5 . . . . 1,475 1,295 179 9 ,250 7 ,7 0 3 1,547 7 ,2 9 5 5 ,9 3 0 1,365

1956 . . . . 1,377 1,209 167 9 ,9 4 2 8 ,2 6 1 1,680 7 ,8 7 6 6 ,3 7 8 1,498

1957 _____ 1 ,751 1,539 212 10,958 9,097 1,860 3 ,7 9 0 7 ,1 1 4 1,676

1958 . . . . 1,452 1,332 119 11,633 9,686 1,946 9 ,3 5 5 7 ,5 9 4 1,761

1 95 9 --------- 1 ,870 1,646 224 12,699 10,561 2, 137 10,288 8 ,3 3 7 1,951

1960 . . . . 1,638 1,522 166 13,552 11,280 2 ,2 7 1 10,966 8 ,8 8 3 2 ,0 8 2

1 9 6 1 . . . . 1 , 7 11 1,466 245 14,381 11,896 2 ,4 8 4 11,585 9 ,2 9 2 2 ,2 9 2

1 9 6 2 . . . . 2 ,1 7 9 1,864 314 15,610 12,842 2 ,7 6 8 12,585 10,014 2 ,5 7 1

1 9 6 3 . . . . 2 ,2 6 8 1, 945 322 16,840 13,780 3 ,0 6 0 13,575 10,718 2 ,8 5 7

1 964 _____ 2 ,2 5 0 1,931 319 17,955 14,605 3 ,3 5 0 14,450 11,312 3 ,1 3 8

1 9 6 5 . . . . 2 ,3 1 5 2 , 0 18 297 19,041 15,422 3 , 6 18 15,303 11,908 3 ,3 9 5

1966 . . . . 2 ,2 6 8 1,754 514 19,993 15,889 4 ,1 0 4 1 6,023 12, 156 3 ,8 6 7

1967 . . . . 2 , 0 18 1,607 4 1 1 2 0 ,6 1 2 16, 126 4 ,4 8 6 16,415 12,183 4 ,2 3 2

1 9 6 8 . . . . 2 ,2 2 9 1,778 451 2 1 ,3 5 7 16,448 4 ,9 0 9 16,951 12,317 4 ,6 3 4

1 96 9 _____ 2 ,2 5 7 1,817 440 2 2 ,0 37 1 6 , 7 16 5 ,3 2 0 17,450 12,429 5,0 2 1

1970 . . . . 2 ,0 0 7 1,630 376 2 2 ,3 3 2 16,714 5 ,6 6 7 17,650 12,310 5 ,3 3 9

1 9 7 1 . . . . 2 ,5 8 9 2 , 1 13 476 2 3 ,2 3 8 17,124 6 ,1 1 3 18,407 12,653 5 ,7 5 3

1 9 7 2 . . . . 2 ,9 4 5 2 ,4 1 9 525 2 4 ,4 01 17,794 6 ,6 0 6 1 9,494 13,285 6 ,2 0 9

1 9 7 3 . . . . 2 ,5 3 3 2 ,0 9 8 435 2 5 ,1 31 18,125 7 ,0 0 5 2 0 ,1 41 13,573 6 ,5 6 7

1 974 _____ 2 ,3 4 4

________

1 ,971 373 2 5,6 61 18,321 7 ,3 3 9 2 0 ,5 7 6 13,719 6 ,8 5 7

53

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 13. Ordnance and accessories: Historical dollars

(Millions of dollars)

Y ea r

G ro ss in v e s tm e n t

—

G ro ss s to c k s N et s to c k s

T o ta l E qu i p m e n t S t r u c t u r e s i T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1 9 4 7 _____ $ 7 $ 5 $1 ! $705 $460 $245 $630 $396 $234

1 9 4 8 _____ 6 4 1 6 9 6 450 246 603 37 1 232

1 9 4 9 . . . . 5 3 2 I 681 434 247 57 1 341 230

1950 _____ 7 4 2 I 665 415 249 540 312 228

195 1 _____ 2 0 12 7 | 658 40 1 256 521 289 231

1 9 5 2 _____ 4 2 1 6 3 3 375 257 486 257 228

1 95 3 _____ 18 13 5 I 620 358 262 465 237 228

1 95 4 _____ 6 3 5 0 13 | 651 377 2 7 4 490 254 235

1955. .. . 6 0 4 1 18 I 678 387 29 1 511 264 247

1956 --------- 5 3 3 5 18 I 698 390 308 526 268 257

1957 --------- 5 5 3 5 1 9 I 7 19 393 326 54 1 272 269

1958 . . . . 7 5 4 6 29 | 758 405 353 577 287 289

1 959 _____ 7 1 4 7 24 I 792 4 17 374 607 303 303

1960 _____ 6 9 4 6 2 2 821 429 392 633 3 18 314

196 1 _____ 7 4 4 9 2 4 8 5 4 443 4 1 1 663 336 327

1 96 2 _____ 9 0 5 9 30 I 903 468 435 708 363 344

1963. .. . 8 9 6 2 26 | 952 497 454 751 393 357

1 96 4 _____ 1 17 7 5 4 2 1,030 54 1 488 820 435 385

1 96 5 _____ 9 8 7 5 23 I 1 , 0 8 8 586 50 1 867 474 393

1966 _____ 1 7 4 133 4 1 i 1,222 689 532 987 568 4 18

1967 _____ 2 0 0 137 63 I 1,379 795 583 1,127 662 465

1 968 --------- 2 1 3 144 6 9 1,547 906 640 1,274 756 518

1 96 9 _____ 1 8 1 129 51 I 1,678 999 678 1,38 1 829 551

1970 _____ 1 2 8 9 4 33 | 1,751 1,053 697 1,427 86 1 566

197 1 _____ 1 3 1 9 6 34 | 1,821 1,104 7 16 1,468 887 581

1 97 2 _____ 1 2 9 9 0 38 | 1,881 1,1 4 1 740 1,50 1 900 600

1 97 3 _____ 1 5 7 108 48 | 1,961 1 , 1 8 8 772 1,555 926 628

1 97 4 _____ 17 1 119 5 1 I 

I

2 ,0 4 7 1,238 808 1 , 6 17 958 659

Sector 13. Ordnance and accessories: Constant dollars

(Millions of 1972 dollars)

I

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

l I

T o t a l j E q u i p m e n t S t r u c t u r e s T o t a l I E q u i p m e n t S t r u c t u r e s T o t a l | E q u i p m e n t S t r u c t u r e s

1947 _____ | $ 13 | $10 $ 3 $ 1 820 I $ 1 ,0 1 5 $805

I

$ 1 ,6 2 9 | $869 $760

1 94 8 _____ | 10 | 7 3 1 795 I 989 806 1,560 | 809 751

1 9 4 9 _____ | 8 1 5 3 1 758 | 950 807 1,484 j 742 742

1950 _____ I 1 3 | 7 5 1 7 15 | 905 8 10 1,408 | 673 734

1 951 --------- | 3 1 1 18 12 1 686 I 864 82 1 1,348 | 6 16 732

1 952 --------- I 6 1 4 2 1 627 | 805 822 1,263 | 544 7 19

1 95 3 _____ I 2 8 | 19 9 1 586 I 757 829 1,201 I 490 7 10

1 9 5 4 _____ | 9 3 | 7 0 2 3 1 609 | 759 849 1,206 | 491 7 14

1 9 5 5 _____ I 9 0 | 5 9 3 1 1 627 | 749 877 1,207 I 483 724

1956 _____ | 7 3 | 4 4 2 8 1 625 I 723 90 1 1,193 I 463 730

1 9 5 7 --------- | 7 2 | 4 3 2 9 1 620 | 695 924 1,177 | 444 733

1 9 5 8 _____ | 10 1 | 5 4 4 6 1 640 | 677 962 1,191 I 438 752

1 959 _____ | 9 4 | 5 6 3 8 1 651 | 66 1 990 1,197 | 437 759

I960 _____ | 9 0 | 5 4 3 5 1 655 | 643 1,011 1,198 | 438 760

1 961 _____ I 9 7 | 5 8 3 8 1 664 | 632 1,032 1,208 | 444 764

1 96 2 _____ | 1 17 | 7 0 4 7 1 695 | 637 1,058 1,239 I 465 773

1 96 3 _____ I 114 | 7 4 4 0 1 726 I 652 1 , 0 7 4 1,267 | 492 774

1 96 4 _____ | 1 5 5 | 9 1 6 3 1 800 | 690 1,109 1,334 | 537 797

1 96 5 --------- I 1 27 I 9 1 3 5 1 847 | 734 1,113 1,372 I 580 791

1 9 6 6 _____ | 2 19 | 158 6 0 1 986 | 847 1,138 1,498 | 688 810

1967 _____ | 2 49 | 158 9 0 2 153 | 962 1,190 1,649 | 792 857

1 96 8 _____ | 2 53 | 159 9 3 2 3 2 1 | 1,078 1,243 1,798 I 890 908

1969 _____ | 2 03 | 140 6 3 2 434 | 1,17 1 1,263 1,890 | 962 927

1 9 7 0 _____ I 1 37 | 9 9 3 7 2 475 | 1,219 1,255 1,908 | 986 921

1 97 1 _____ I 133 | 9 7 3 5 2 505 | 1,260 1,245 1,915 | 1,000 9 14

1 97 2 _____ | 128 | 9 0 3 8 2 523 | 1,285 1,238 1,912 | 1,001 9 1 1

1973 _____ I 1 52 | 107 4 4 2 555 | 1,318 1,236 1,927 I 1 ,0 13 914

1 97 4 _____ | 149 |

___________ I_____

109 4 0 2 577 | 1,346 1,231 1,937 | 1,022 9 14

54

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 14. Food and kindred products: Historical dollars

(Millions of dollars)

Y ea r

—

G ro ss in v e s tm e n t G ro ss s to c k s

—

N et s to c k s

I

T o ta l |

I

i q u i p m e n t I S t r u c t u r e s

I

T o ta l I

I

r

E q u ip m e n t | S t r u c t u r e s

r

T o t a l | E q u i p m e n t S t r u c t u r e s

1947 _____ $ 1 ,0 4 3 | $693 $349 $ 5 ,3 5 3 I $ 2 ,5 9 0 $ 2 ,7 6 2 $ 4 ,2 2 4 | $ 2 ,1 1 5 $ 2 ,1 0 8

1 948 _____ 9 66 | 584 | 38 1 6 ,1 2 4 I 3 ,0 4 9 | 3 ,0 7 5 4 ,9 4 8 I 2 ,5 4 8 2 ,4 0 0

1 949 _____ 8 2 5 | 

j

521 | 303 6 ,7 4 9 j 3 ,4 4 4 3 ,3 0 4 5 ,5 1 1 | 2 ,9 0 1 2 ,6 0 9

1950 _____ 7 31 | 489 24 1 7 ,2 7 3 | 3,8 0 6 3,4 6 6 5 ,9 5 4 | 3 ,2 0 0 2 ,7 5 3

1 95 1 _____ 7 82 I 510 | 27 1 7 ,8 3 4 | 4 ,1 8 0 | 3 ,6 5 4 6 ,4 1 9 | 3 ,4 9 3 2 ,9 2 5

1 952 _____ 6 05 | 424 | 18 1 8 ,1 9 8 | 4 ,4 5 0 I 3 ,7 4 8 6 ,6 7 3 | 3 ,6 6 9 3 ,0 0 4

1 955 _____ 6 49 I 450 | 199 8 ,5 7 7 | 4 ,7 2 0 | 3 ,8 5 7 6 ,9 4 0 | 3,8 4 0 3 ,0 9 9

1 95 4 _____ 8 15 | 576 239 9 ,0 9 2 | 5 ,0 8 7 | 4 ,0 0 4 7 ,3 4 3 | 4 ,1 1 0 3 ,2 3 3

1 95 5 _____ 8 23 | 608 215 9 ,5 8 5 | 5 ,4 5 8 4, 127 7 ,7 2 4 | 4 ,3 8 3 3,341

1956 _____ 9 10 | 666 I 243 10,141 | 5 ,8 6 3 I 4 ,2 7 7 8 ,1 6 6 | 4 ,6 9 0 3 ,4 7 5

1957 _____ 9 66 | 693 272 10,732 | 6 ,2 7 4 | 4 ,4 5 7 8 ,6 3 4 | 4 ,9 9 8 3 ,6 3 5

1 95 8 _____ 9 38 I 685 I 303 11,327 | 6 ,6 5 7 | 4 ,6 7 0 9 ,0 9 4 I 5 ,2 7 0 3 ,8 2 3

1 95 9 _____ 1 ,018 | 728 | 289 11,930 | 7 ,0 6 0 | 4 ,8 7 0 9 ,5 5 0 | 5 ,5 5 7 3 ,9 9 2

1960 _____ 1 ,012 | 746 265 12,500 | 7 ,4 5 2 5 ,0 4 8 9 ,9 6 3 | 5 ,8 3 0 4 ,1 3 2

196 1 _____ 1 ,010 I 7 6 1 | 248 13,035 | 7 ,8 2 7 | 5 ,2 0 8 10,337 | 6 ,0 8 7 4 ,2 4 9

1 96 2 _____ 1 ,217 | 859 i 358 13,741 | 8 ,2 6 3 j 5 ,4 7 8 10,880 | 6 ,4 1 0 4 ,4 7 0

1963 _____ 1 ,210 I 884 | 326 14,404 j 8 ,6 8 9 I 5 , 7 14 11,379 | 6 ,7 2 9 4 ,6 5 0

1 9 6 4 _____ 1 ,361 | 986 | 375 15,181 | 9 ,1 8 4 | 5 ,9 9 7 11,991 | 7 , 120 4 ,8 7 1

1 965 --------- 1 ,417 | 1,039 | 378 15,980 | 9,7 0 0 | 6 ,2 7 9 12,619 I 7 ,5 3 3 5 ,0 8 6

1966 _____ 1 ,610 | 1,204 406 16,937 I 10,354 | 6 ,5 8 3 13,399 | 8 ,0 8 0 5 ,3 1 9

1967 _____ 1 ,655 I 1,209 | 445 17,907 | 10,986 | 6 ,9 2 0 14,177 | 8 ,5 9 6 5,5 8 1

1 9 6 8 _____ 1 ,661 | 1,194 I 466 18,847 | 11,575 I 7 ,2 7 2 14,912 | 9,0 5 7 5 ,8 5 5

1969 _____ 1 ,839 | 1,281 | 558 19,928 | 1 2,222 | 7 ,7 0 6 15,774 | 9 ,5 6 5 6 ,2 0 8

1970 _____ 2 ,0 6 2 I 1,422 I 639 2 1 ,1 9 0 | 12,977 8 ,2 1 3 16,801 | 10,169 6 ,6 3 2

197 1 _____ 2 ,1 4 8 I 1,561 | 586 2 2 ,4 9 0 | 1 3,833 | 8 ,6 5 7 17,852 I 10,861 6 , 9 9 0

1972 _____ 2 ,3 5 5 I 1,746 | 609 2 3 ,9 4 6 | 14,833 I 9 ,1 1 2 19,044 i 1 1 , 6 8 5 7 ,3 5 9

1973 _____ 2 ,4 1 2 | 1,787 | 625 2 5 ,4 0 4 | 15,831 | 9 ,5 7 2 2 0 ,2 2 1 | 12,489 7 ,7 3 2

1974 _____ 3 ,0 0 7 |

_______ I__

2 ,1 8 8 | 8 18 2 7 ,3 9 8 |

_______ L_

1 7, 184 10,214 2 1 ,9 1 9 | 1 3,632 8 ,2 8 7

Sector 14. Food and kindred products: Constant dollars

(Millions of 1972 dollars)

G ro s s in v e s tm e n t G ro ss s to c k s N et s to c k s

----------------------------! |

T o t a l I E q u i p m e n t I S t r u c t u r e s

I I

I T o t a l I

I I

E q u i p m e n t S t r u c t u r e s

1

T o ta l

I

E q u ip m e n t I S t r u c t u r e s

1 9 4 7 . . $ 2 ,2 2 0 I

----------------------------r~

$ 1 ,4 4 4 | $775

I I

I $ 1 7 , 9 2 8 I $ 6 ,7 5 9 $ 1 1 ,1 6 9 $ 1 3 ,4 5 5 1 $ 5 ,3 11 | $ 8 ,1 4 4

1948. . 1,908 I 1,145 763 1 1 9 , 1 3 2 I 7 ,5 1 5 11,616 14,536 I 6 ,0 2 7 I 8 ,5 0 3

1949. . 1,598 I 966 j 632 I 2 0 , 0 0 3 | 8 ,0 9 5 11,907 15,269 | 6 ,5 3 7 8 ,7 3 1

1 9 5 0 . . 1,392 | 889 503 2 0 ,6 4 5 | 8 ,5 9 8 12,047 1 5,755 | 6 ,9 3 6 8 ,8 1 9

1 95 1.. 1,354 I 851 I 503 I 2 1 , 2 1 3 1 9,0 4 7 12,166 1 6,155 I 7 ,2 5 1 I 8 ,9 0 3

1952. . 1,018 | 695 I 323 1 2 1 , 3 9 4 | 9,306 1 2 ,08S 16,168 I 7 ,3 6 2 I 8 ,8 0 5

1953. . 1,093 I 737 I 356 I 2 1 , 5 9 2 | 9 ,5 6 2 12,029 1 6,215 I 7 ,4 7 2 I 8 ,7 4 2

1954. . 1,349 1 9 14 | 434 1 2 1 , 9 8 5 | 9 ,946 12,039 16,483 | 7 ,7 2 3 | 8 ,7 6 0

1955. . 1,341 | 949 I 39 1 2 2 ,3 2 3 | 10,324 1 1 , 9 9 9 1 6,713 | 7 ,9 7 6 i 8 ,7 3 7

1 9 5 6 . . 1,358 | 952 I 406 2 2 ,6 4 4 j 10,672 11,971 1 6,939 | 8 ,2 0 4 | 8 ,7 3 4

1 9 5 7 . . 1,369 | 937 432 I 2 2 , 9 5 5 I 10,982 1 1 , 9 7 2 17,156 I 8 ,3 9 4 I 8 ,7 6 1

1958. . 1,410 I 9 14 496 I 2 3 , 2 9 3 I 1 1 , 2 5 0 1 2,043 1 7,393 I 8 ,5 3 6 I 8 ,8 5 6

1959. . 1,441 | 958 | 482 1 2 3 , 6 4 5 | 11,537 12,107 17,634 | 8 ,6 9 6 I 8 ,9 3 8

1 9 6 0 . . 1,412 I 969 442 I 2 3 , 9 4 0 | 11,801 12,139 1 7,819 | 8 ,8 3 8 8 ,9 8 0

1 9 6 1 .. 1,390 | 976 | 4 14 I 2 4 , 1 8 0 | 12,032 12,148 17,956 I 8 ,9 6 2 I 8 ,9 9 4

1962. . 1,688 I 1,101 1 586 I 2 4 , 6 3 7 | 12,349 12,338 1 8 ,36S | 9, 189 9, 179

1 9 6 3 . . 1,645 I 1 ,119 I 526 I 2 5 , 1 2 3 | 12,646 12,476 1 8,713 | 9 ,4 1 4 I 9 ,2 9 9

1964. . 1,828 I 1,232 I 596 I 2 5 , 7 1 7 | 13,027 12,690 19,220 | 9 ,7 3 4 | 9 ,4 8 5

1965. . 1,880 | 1,298 | 58 1 2 6 ,3 4 2 I 13,450 12,891 1 9,753 I 10,103 9 ,650

1 9 6 6 . . 2 ,0 6 5 I 1,468 | 596 I 2 7 , 1 3 4 I 14,026 13,108 2 0 ,4 4 5 I 10,620 I 9 ,8 2 5

1 9 6 7 . . 2 ,0 5 9 I 1,423 | 636 I 2 7 , 9 0 5 | 14,541 13,363 2 1 ,0 9 8 I 11,066 | 10,032

1 9 6 8 . . 1,988 | 1,357 I 630 | 2 8 , 5 8 6 | 14,976 13,610 2 1 ,6 4 3 I 11,417 | 10,226

1 9 6 9 . . 2 ,1 0 6 I 1,408 | 697 I 2 9 , 3 6 5 | 15,445 13,920 2 2 ,2 6 7 | 11,787 | 10,479

1 9 7 0 . . 2 ,2 4 0 | 1,513 727 I 3 0 , 2 5 3 I 15,999 14,253 2 2 ,9 8 2 I 12,228 10,754

1 97 1.. 2 ,2 1 1 | 1,593 I 6 17 I 3 1 , 0 7 8 | 16,606 14,471 2 3 ,6 1 9 | 12,708 I 10,911

1 9 7 2 . . 2 ,3 5 5 I 1,746 I 609 I 3 2 , 0 0 9 I 17,338 14,671 2 4 ,3 5 2 I 13,300 I 11,051

1973. . 2 ,3 3 1 I 1,752 1 579 | 3 2 , 8 7 2 | 18,041 14,830 2 5 ,0 0 8 | 1 3,852 I 11,156

1974. . 2 ,5 7 6 I 1,936 I 639 I 3 3 , 9 3 4 | 18,893 15,041 2 5 , 8 5 7 | 

________________ [ _

1 4,5 42 I

____________L

11,315

55

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 15. Tobacco manufactures: Historical dollars

(Millions of dollars)

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l E q u i p m e n t I S t r u c t u r e s

1

T o t a l | E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1 94 7 _____ $ 3 6 $23 $13 $ 1 10 | $63 $46 $95 $55 $40

1 94 8 _____ 2 4 16 8 132 | 7 7 5 4 1 15 6 8 4 7

1 94 9 _____ 2 3 1 5 | 7 151 | 9 0 6 0 133 8 0 5 3

1950 _____ 18 1 1 i 7 166 | 9 9 6 7 146 8 7 5 9

1 95 1 _____ 18 11 j 7 18 1 | 108 7 3 158 9 3 6 5

1 95 2 _____ 2 3 16 | 7 200 | 121 7 9 174 103 7 0

1 95 3 _____ 3 0 22 I 8 226 I 140 8 6 196 1 19 7 6

1954 _____ 2 9 2 3 | 5 250 | 159 9 0 215 135 8 0

1 95 5 _____ 2 8 2 2 | 6 272 I 177 9 5 232 148 8 4

1956 _____ 4 7 3 0 16 313 | 202 110 267 169 9 8

1957 --------- 4 3 3 6 I 6 348 I 232 1 16 296 193 103

1958 _____ 4 9 3 1 I 17 389 | 256 132 330 2 12 1 18

1 95 9 _____ 5 4 38 I 15 433 | 286 146 366 236 130

1960 _____ 4 8 3 2 15 469 | 308 160 395 252 143

196 1 _____ 5 0 39 | 10 506 | 336 170 423 273 150

1 96 2 _____ 5 0 4 1 I 8 542 i 364 177 450 294 155

1 9 6 3 . . . . 5 4 42 | 12 580 | 391 188 479 314 164

1 96 4 _____ 5 9 4 8 | 1 1 621 | 423 198 5 10 339 17 1

1 96 5 _____ 6 0 4 7 12 6 6 1 | 452 209 540 36 1 179

1966 _____ 5 9 46 j 12 699 I 479 2 19 566 380 186

1967 _____ 5 3 4 2 1 1 729 | 500 228 585 392 192

1968 . . . . 5 1 41 I 9 754 | 518 236 599 402 196

1969 _____ 6 1 46 | 15 787 | 538 248 620 414 206

1970 _____ 5 6 4 4 12 812 I 554 257 635 423 2 12

197 1 _____ 9 5 45 | 4 9 874 I 570 304 686 43 1 254

1972 _____ 1 3 4 80 | 5 3 9 7 1 | 6 18 353 773 472 300

1 9 7 3 . . . . 181 114 | 6 6 1,113 i 697 4 16 905 546 359

1 9 7 4 _____ 1 8 6 122 I 6 3 1,258 | 783 475 1,038 625 413

Sector 15. Tobacco manufactures: Constant dollars

(Millions of 1972 dollars)

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s

-------------------------------r

N et s to c k s

T o ta l E q u i p m e n t | S t r u c t u r e s T o ta l

[ I

E q u i p m e n t I S t r u c t u r e s I T o t a l I E q u i p m e n t I S t r u c t u r e s

1947 _____ | $ 8 6 $57 | $29 $354 $ 187 $ 166 $292 | $ 159 I $133

1 9 4 8 _____ I 5 4 37 | 16 396 2 17 I 178 332 | 186 | 145

1 9 4 9 _____ | 4 8 3 3 | 15 434 243 | 190 j 365 j 208 | 156

1950 _____ ! 3 7 23 I 14 459 258 200 385 | 219 166

1 9 5 1 _____ I 3 4 20 I 14 48 1 270 | 2 10 j 4 0 1 j 226 175

1 95 2 _____ | 4 1 29 I 12 5 10 291 I 2 18 | 422 I 240 I 18 1

1 95 3 _____ j 5 4 40 | 14 550 321 I 228 I 454 I 264 | 190

1 9 5 4 --------- | 5 0 40 | 9 585 351 | 233 | 480 | 286 194

1 9 5 5 _____ | 4 7 37 | 10 6 15 375 | 240 5 0 1 | 302 198

1956 . . . . | 7 6 48 | 2 7 672 408 I 263 I 548 I 327 | 220

1957 _____ | 6 2 5 2 I 10 7 14 445 I 269 578 | 354 | 224

1 95 8 _____ I 7 3 4 4 I 2 8 764 470 I 294 | 6 17 | 370 | 246

1 95 9 _____ | 7 7 33 | 2 4 8 17 502 | 314 | 658 | 393 | 264

I960 _____ | 6 9 4 3 | 2 5 858 522 335 | 688 | 405 | 282

1 96 1 _____ | 7 0 5 2 17 897 548 | 348 | 7 16 I 423 292

1 96 2 _____ | 7 0 55 I 14 933 574 358 | 742 I 443 | 298

1 9 6 3 _____ | 7 6 56 | 2 0 973 599 373 772 | 462 | 309

1 96 4 _____ | 8 1 63 | 17 1,016 630 | 385 | 804 | 487 | 317

1 9 6 5 _____ I 8 0 6 1 19 1,056 657 399 834 | 507 327

1966 --------- | 7 6 58 | 18 1,091 679 I 4 12 | 857 | 522 335

1967 _____ | 6 7 50 | 16 1,115 693 I 422 | 869 | 529 | 340

1968 _____ | 6 1 48 | 12 1,130 702 I 428 | 872 | 531 | 341

1969 _____ | 7 1 52 | 18 1,154 7 14 | 439 | 884 | 535 | 348

1970 _____ | 6 1 4 7 14 1 , 1 6 5 7 19 446 884 I 533 350

1 97 1 _____ | 9 8 46 | 5 2 1 , 2 10 720 | 490 I 919 | 529 389

1 9 7 2 . . . . | 134 80 | 5 3 1,288 753 534 | 987 | 558 429

1 9 7 3 _____ | 1 7 3 111 | 6 2 1,402 8 15 | 587 | 1,092 | 6 16 | 476

1 9 7 4 . . . . j

_________ I__

1 5 8 108 |

____________ 1__

4 9 1 ,500 873 |

____________ L_

6 26 j 1,180 I 669 I 510

56

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
(Millions of dollars)

Sector 16. Fabric,yarn, and thread mills: Historical dollars

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l Equi pm ent S t r u c t u r e s T o ta l E qu i p m e n t S t r u c t u r e s

1 94 7 _____ $ 243 $166 $76 $ 1,1 01 $547 $553 $832 $468 $363

1 94 8 _____ 4 0 0 315 8 5 1,452 844 608 1 , 1 8 6 760 425

1 94 9 --------- 2 7 2 211 6 0 1,677 1,038 638 1,405 942 463

1950 --------- 2 4 6 192 5 4 1,877 1,214 663 1,594 1,099 495

1 9 5 1 . . . . 295 222 7 2 2 ,1 2 5 1,419 706 1,826 1,280 545

1 95 2 _____ 2 2 1 166 5 4 2 ,3 0 0 1,567 733 1,976 1,396 579

1 9 5 3 --------- 1 6 9 128 4 0 2 ,4 2 3 1,675 747 2 ,0 6 6 1,467 599

1 95 4 _____ 1 4 4 113 3 0 2 ,5 1 7 1,763 753 2, 122 1,512 609

1 95 5 --------- 1 7 4 141 3 3 2 ,6 3 9 1,875 763 2 ,2 0 0 1,577 623

1956 _____ 2 0 8 169 3 8 2,7 9 1 2 , 0 10 780 2 ,3 0 1 1,658 642

1957 _____ 1 8 3 15 1 3 1 2 , 9 10 2 ,1 1 7 792 2 ,3 6 4 1 , 7 10 654

1 958 --------- 1 2 7 107 2 0 2 ,9 6 5 2 ,1 7 0 795 2 ,3 6 0 1,705 655

1 959 --------- 1 8 3 154 2 8 3 ,0 6 5 2 ,2 5 7 807 2 ,4 0 1 1,737 664

1960 . . . . 220 184 3 6 3, 188 2 ,3 6 0 828 2 ,4 6 6 1,787 679

196 1 _____ 2 0 4 163 4 0 3 ,2 8 1 2 ,4 2 6 855 2 ,5 0 5 1,807 697

1 962 _____ 2 6 3 2 12 5 0 3 ,4 1 7 2 ,5 2 4 892 2 ,5 9 5 1,869 725

1963. .. . 27 1 224 4 7 3 ,5 4 6 2 , 6 19 927 2 ,6 8 4 1,936 748

1 96 4 --------- 35 1 275 7 6 3 ,741 2 ,751 989 2 ,8 4 7 2 ,0 4 8 798

1 96 5 _____ 4 2 2 331 9 1 3 ,9 9 5 2 ,9 2 8 1,066 3 ,0 7 5 2 ,2 1 4 86 1

1966 _____ 6 0 6 452 153 4 ,4 2 3 3 ,2 1 8 1,204 3 ,4 8 0 2 ,4 9 6 983

1967 _____ 5 1 0 398 1 12 4 ,7 5 0 3 ,4 5 1 1,298 3 ,7 8 1 2 , 7 19 1,061

1 96 8 _____ 4 0 7 320 8 6 4 ,9 7 0 3 ,6 0 5 1,365 3 ,9 7 0 2 ,8 5 8 1,112

1 96 9 _____ 4 5 8 356 10 1 5 ,2 4 0 3 ,7 9 4 1,445 4 ,2 0 2 3 ,0 2 7 1,175

1970 _____ 4 3 8 347 9 0 5 ,4 8 9 3,9 7 6 1,512 4 ,4 0 5 3, 180 1,225

197 1 _____ 4 6 6 372 9 3 5 ,7 6 3 4, 184 1,579 4 ,6 2 4 3 ,3 4 8 1,276

1 972 _____ 5 6 9 455 1 14 6 ,1 3 8 4 ,4 7 3 1,664 4 ,9 3 3 3 ,5 8 7 1,346

1 97 3 _____ 6 2 8 496 131 6 ,5 6 7 4 ,8 0 2 1,764 5 ,2 8 4 3 ,8 5 3 1,431

1974 _____ 6 8 2

________

5 3 0

__________

1 5 2 7 ,041 5, 157 1,883 5 ,6 6 9 4 ,1 3 4 1,534

Sector 16. Fabric, yarn, and thread mills: Constant dollars

(Millions of 1972 dollars)

Y ear

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s

~ r

T o ta l I E q u i pmen-fc

I

S t r u c t u r e s | T o ta l E qu i p m e n t S t r u c t u r e s

1947 _____ $ 597 $426 $170 $ 3 ,9 2 4 | $ 1 ,6 5 5 $ 2 ,2 6 8 $ 2 ,7 3 8 $ 1,3 71 $ 1 ,3 66

1948 _____ 9 0 2 732 170 4 ,6 0 8 | 2 ,3 1 9 2 ,2 8 8 | 3 ,4 5 9 2 ,0 2 7 1,432

1949 _____ 5 9 5 470 125 4 ,9 9 4 | 2 ,7 2 6 2 ,2 6 7 3 ,8 6 4 2 ,4 0 6 1,457

1950 _____ 5 3 0 4 17 112 5 ,3 2 2 | 3 ,0 8 3 2 ,2 3 9 4 ,1 9 8 2 ,7 2 1 1,476

195 1 _____ 5 6 1 427 133 5 ,6 8 5 | 3 ,4 4 8 2 ,2 3 6 | 4 ,5 5 3 3 ,0 3 2 1,521

1952 _____ 4 17 319 9 7 5 ,9 0 9 | 3 ,7 0 3 2 ,2 0 5 I 4 ,7 5 3 3 ,2 1 8 1,534

1 9 5 3 . . . . 3 15 242 7 2 6 ,0 3 3 I 3,876 2 ,1 5 6 | 4 ,8 3 7 3 , 3 10 1,527

1954 _____ 2 6 5 209 5 6 6 ,1 0 7 | 4 ,0 0 7 2 ,0 9 9 | 4 ,8 5 9 3 ,3 5 0 1,509

1955 _____ 3 0 7 247 5 9 6 ,2 2 1 | 4 , 166 2 ,0 5 4 4 ,9 0 7 3 ,4 0 8 1,498

1956 _____ 3 4 2 278 6 4 6 ,3 6 5 | 4 ,3 4 3 2 ,0 2 2 I 4 ,9 7 2 3 ,4 7 6 1,495

1957 _____ 2 8 2 233 4 9 6 ,4 3 6 | 4 ,4 5 3 1 , 9 8 2 4 ,9 5 7 3 ,4 7 6 1,481

1958 _____ 1 9 3 159 3 3 6 ,4 0 3 | 4 ,4 6 7 1,936 | 4 ,8 3 3 3,381 1,452

1 95 9 _____ 27 1 223 4 7 6 ,4 3 1 | 4 ,5 1 9 1,911 I 4,7 7 1 3,331 1,440

1960 _____ 3 2 2 262 6 0 6 ,4 8 5 | 4 ,5 8 0 1,9 0 5 | 4 ,7 4 4 3 ,3 0 3 1,440

196 1 _____ 2 9 7 230 6 7 6 ,4 8 7 | 4 ,5 7 5 1,911 | 4 ,6 7 7 3 ,2 2 9 1,447

1 96 2 _____ 3 7 8 294 8 3 6 ,5 4 1 | 4 ,6 0 2 1,9 3 8 | 4 ,6 8 2 3 ,2 1 2 1,470

1 9 6 3 . . . . 383 306 7 6 6 ,5 7 5 | 4 , 6 12 1,962 | 4 ,6 8 7 3 ,2 0 2 1,484

1964 _____ 4 8 7 366 120 6 ,6 9 1 | 4 ,6 5 8 2 ,0 3 2 | 4 ,7 9 4 3 ,2 5 3 1,541

1 965 _____ 5 7 6 435 140 6 ,8 8 1 | 4 ,7 5 7 2 ,1 2 3 4 ,9 9 1 3 ,3 7 6 1 , 6 14

1966 _____ 8 0 9 580 228 7 ,2 9 5 | 4 ,9 9 4 2 ,3 0 0 | 5 ,4 2 3 3 ,6 4 9 1,773

1967 _____ 6 4 6 486 159 7 ,5 4 5 | 5, 139 2 ,4 0 6 | 5 ,6 9 1 3,8 3 1 1,860

1968. .. . 494 377 1 16 7 ,6 5 0 | 5, 182 2 ,4 6 7 | 5 ,8 0 8 3 ,9 0 8 1,900

1 969 _____ 5 2 7 400 127 7 ,7 9 7 | 5 ,2 6 2 2 ,5 3 5 | 5 ,9 6 1 4 , 0 12 1, 949

1970 _____ 4 7 7 373 103 7 ,9 0 8 | 5 ,3 3 2 2 ,5 7 6 6 ,0 6 2 4 ,0 9 1 1,971

1 9 7 1 . . . . 478 380 9 8 8 ,0 2 9 | 5,421 2 ,6 0 8 | 6 ,1 6 0 4, 173 1,986

1972 _____ 5 6 9 455 1 14 8 ,2 5 1 | 5 ,5 9 8 2 ,6 5 3 | 6 ,3 4 3 4 ,3 2 6 2 , 0 16

1 97 3 _____ 6 0 4 482 122 8 ,5 1 4 | 5 , 8 12 2 ,7 0 2 | 6 ,5 4 8 4 ,4 9 6 2 ,0 5 2

1974 _____ 5 7 6 457 1 19 8 ,7 4 7 | 6 ,0 0 2 2 ,7 4 5 |

_ _ _ _ _ _ _ _ _ _ _ _ L

6 ,7 1 1 4 ,6 2 7

__________

2 ,0 8 4

5 7

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 17. Miscellaneous textile goods and floor coverings: Historical dollars

(Millions of dollars)

Y e a r

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k ;

T o ta l E qu i p m e n t I S t r u c t u r e s T o ta l E qu ip m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1 9 4 7 . . . . $37 $25 $ 1 1 $235 $125 $109 $176 $102 $73

1948 . . . . 6 1 4 8 13 285 168 1 17 226 143 8 2

1 9 4 9 _____ 4 0 3 1 8 314 194 120 253 167 8 6

1950 . . . . 4 9 3 8 1 1 352 226 125 290 197 9 3

1951 . . . . 5 3 3 8 1 5 394 259 135 330 226 103

1 9 5 2 . . . . 4 2 3 0 1 1 425 283 14 1 357 246 1 10

1 9 5 3 . . . . 4 3 3 4 9 456 31 1 145 383 268 1 15

1 954 _____ 4 0 3 0 9 484 334 150 406 284 121

1 9 5 5 . . . . 4 4 2 6 17 515 352 163 430 295 134

1956 . . . . 3 7 3 0 7 540 374 165 446 308 137

1957 . . . . 5 0 3 7 1 2 576 402 174 473 327 145

1 9 5 8 . . . . 4 2 3 2 10 603 423 180 490 338 15 1

1 95 9 _____ 4 5 3 4 1 1 631 443 188 507 349 158

1960 . . . . 4 3 3 2 10 656 460 195 520 356 164

1 9 6 1 . . . . 5 5 4 1 13 690 484 205 543 37 1 172

1 9 6 2 . . . . 4 8 3 8 9 7 13 502 2 1 1 556 380 176

1 9 6 3 . . . . 4 9 3 8 10 736 517 2 18 569 388 18 1

1 96 4 --------- 7 6 5 9 17 783 550 232 608 416 192

1 9 6 5 . . . . 8 6 6 5 2 0 838 588 250 656 449 206

1966 . . . . 103 8 0 2 3 907 638 269 7 18 495 222

1 9 6 7 . . . . 104 7 4 2 9 977 68 1 295 779 534 244

1968 . . . . 149 1 1 1 3 8 | 1 , 0 8 9 759 330 884 608 275

1 96 9 _____ 1 9 7 132 6 5 1/249 858 390 1,033 701 331

1970 . . . . 175 131 4 3 | 1 , 3 8 6 957 429 1 , 1 5 6 791 365

1 9 7 1 . . . . 130 100 2 9 I 1 , 4 7 6 1,023 453 1,230 846 384

1 9 7 2 . . . . 158 1 16 4 1 I 1 , 5 9 3 1,105 488 1,328 913 414

1 9 7 3 . . . . 200 153 4 6 1,750 1,223 527 1,462 1,014 448

1 97 4 _____ 2 5 2 173

__________

7 8 I 1,958 1,359

__________

5 9 9

I

1,643 1, 129 

I

514

Sector 17. Miscellaneous textile goods and floor coverings: Constant dollars

(Millions of 1972 dollars)

Y e a r

—

G ro s s in v e s tm e G ro ss s to c k s N et s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1 947 _____ $ 9 0 $65 $25 $856 $398 $457 $597 $ 3 12 $285 1 9 4 8 . . . . 140 1 13 2 6 949 493 456 695 403 29 1 1 9 4 9 . . . . 8 8 7 1 17 99 1 544 446 739 450 289

1 95 0 _____ 1 0 6 8 2 2 3 1,050 606 444 80 1 506 294 1 9 5 1 . . . . 102 7 5 2 7 1,106 660 446 857 554 303 1 9 5 2 . . . . 7 9 5 8 2 0 1 , 1 3 9 697 442 889 582 307 1 9 5 3 . . . . 8 0 6 3 16 1,173 738 435 920 6 13 307 1 9 5 4 . . . . 7 3 5 5 17 1,20 1 770 430 942 633 308

1 95 5 _____ 7 8 4 6 3 2 1,235 793 442 968 642 326 1 9 5 6 . . . . 6 1 4 9 1 1 1,251 8 16 434 973 650 323 1 9 5 7 . . . . 7 7 5 7 19 1,283 846 436 992 663 328 1 9 5 8 . . . . 6 4 4 7 17 1,300 864 436 994 662 332 1 9 5 9 . . . . 6 7 4 9 18 1,318 879 438 997 661 336

1960 _____ 6 3 4 5 17 1,329 886 442 992 652 340 1 9 6 1 . . . . 8 0 5 8 2 1 1,352 902 450 1,002 654 348 1 9 6 2 . . . . 6 8 5 3 15 1,358 906 452 998 648 350 1 9 6 3 . . . . 6 9 5 3 16 1,361 904 456 993 640 352 1 9 6 4 . . . . 106 7 9 ? 6 1,397 925 47 1 1,023 659 364

1 96 5 _____ 1 18 8 6 3 2 1,442 950 492 1 , 0 6 6 684 38 1 1 9 6 6 . . . . 13/ 103 3 4 1,504 989 514 1, 127 726 400 1 9 6 7 . . . . 133 9 1 4 2 1,561 1,015 545 1, 183 756 427 1 9 6 8 . . . . 182 130 5 2 1,667 1,082 585 1,289 826 462 1 9 6 9 . . . . 229 148 8 1 1,822 1, 168 653 1,439 913 525

1970 _____ 1 9 1 14 1 4 9 1,938 1,249 689 1,548 992 556 1 9 7 1 . . . . 134 102 3 1 1, 999 1,292 706 1,597 1,029 *>68 1 9 7 2 . . . . 158 1 16 4 1 2 ,0 8 4 1,351 733 1,667 1 , 0 7 8 589 1 9 7 3 . . . . 192 149 4 2 2 ,2 0 4 | 1,443 760 1,768 1/157 1 9 7 4 . . . . 210 148 6 1 2,3 4 1 1,534 806 1,881 1,230 650

5 8

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
(Millions of dollars)

Sector 18. Apparel: Historical dollars

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l

I

E q u i p m e n t ' S t r u c t u r e s T o ta l Equi pm ent S t r u c t u r e s T o ta l E qu i p m e n t S t r u c t u r e s

1947 _____ $ 156 $120 | $35 $669 $4 13 $256 $546 $355 $190

1948. .. . 166 143 | 2 3 8 13 542 270 683 477 205

1949 _____ 1 4 7 128 | 19 936 656 280 796 580 2 16

1 9 5 0 _____ 1 1 1 9 3 17 1 , 0 2 2 734 288 867 642 224

195 1 _____ 1 0 3 8 4 18 1,099 80 1 297 925 690 234

1 952 _____ 9 8 7 9 18 1,166 859 307 970 726 244

1 953 _____ 9 0 72 I 17 1,221 905 315 1,002 748 253

1 954 _____ 9 6 7 6 19 1,275 948 326 1,033 769 263

1 95 5 _____ 1 1 6 8 9 2 6 1,342 999 343 1,079 798 280

1956 _____ 1 2 2 9 5 2 7 1,411 1,049 362 1,126 828 298

1957 _____ 1 3 7 117 I 2 0 1,491 1,116 374 1, 184 875 309

1 95 8 _____ 1 12 86 | 2 5 1,542 1,149 392 1 , 2 12 887 325

1 959 _____ 1 2 5 9 6 2 9 1,602 1, 187 414 1,249 905 344

1 9 6 0 _____ 1 2 6 9 6 3 0 1,658 1,220 437 1,283 920 363

196 1 _____ 1 2 3 99 I 2 4 1,705 1,250 455 1,310 933 376

1 962 _____ 1 4 1 110 I 3 1 1,764 1,284 479 1,350 954 396

1 9 6 3 _____ 1 5 9 125 3 4 1,834 1,327 506 1,405 987 4 17

1 964 _____ 1 6 8 123 | 4 5 1,903 1,363 544 1,466 1,016 449

1965 _____ 2 2 9 179 | 5 0 2 ,0 3 8 1,452 586 1,586 1,100 485

1966 _____ 3 3 7 227 | 1 10 2 ,2 7 5 1,587 688 1,809 1,229 580

1967 _____ 27 1 2 04 | 6 7 2 ,4 4 4 1,697 746 1,961 1,330 630

1968 _____ 3 3 5 239 | 9 5 2 ,6 7 4 1,842 832 2 ,1 7 0 1,462 707

1 9 6 9 _____ 4 2 1 296 | 124 2 ,9 8 9 2 ,0 4 2 946 2 ,4 5 6 1,645 811

1970 _____ 3 9 0 292 | 9 7 3 ,2 6 9 2 ,2 3 7 1,032 2 ,7 0 1 1 , 8 13 887

197 1 _____ 5 1 4 398 | 115 3 ,6 6 8 2 ,5 3 3 1, 135 3 ,0 5 7 2 ,0 7 7 979

1 97 2 _____ 6 7 5 530 | 145 4 ,2 2 3 2 ,9 5 5 1,267 3 ,5 5 8 2 ,4 5 9 1,098

1 97 3 _____ 5 7 8 437 | 141 4 ,6 7 1 3 ,2 7 7 1,394 3 ,9 4 0 2 ,7 2 8 1,212

1974 _____ 5 1 7 382 |

________________L_

135 5 ,0 4 8 3 ,5 3 4

__________

1 ,514 4 ,241 2 ,9 2 4

__________

1 ,316

Sector 18. Apparel: Constant dollars

(Millions of 1972 dollars)

—

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l Equi pm ent S t r u c t u r e s

1947 _____ $ 3 15 $236 $79 $ 2 ,0 01 $975 $ 1 ,0 2 5 $ 1 ,5 2 7 $817 $709

1948 _____ 3 0 6 259 4 7 2 ,2 2 3 1,197 1,026 1,742 1 , 0 2 4 7 17

1 949 _____ 2 6 7 228 3 9 2 ,4 0 6 1,386 1,020 1,910 1,191 7 19

1950 . . . . 197 16 1 3 6 2 ,5 1 7 1,505 1,011 1 , 9 9 9 1,281 7 18

1 9 5 1 . . . . 166 132 3 4 2 ,5 9 4 1,591 1,002 2 ,0 4 8 1,331 7 17

1 95 2 _____ 1 5 6 123 3 2 2 ,6 5 4 1,661 992 2 ,0 7 8 1,363 7 15

1 9 5 3 . . . . 142 1 1 1 3 1 2 ,691 1,708 982 2 ,0 8 3 1,371 7 1 1

1 95 4 _____ 1 5 0 1 16 3 4 2 ,7 2 5 1,748 977 2 ,0 8 9 1,376 7 12

1 9 5 5 . . . . 18 1 133 4 7 2 ,781 1,796 985 2 ,1 1 8 1,391 727

1956 . . . . 177 132 4 4 2 ,8 2 6 1,833 993 2 ,1 3 8 1,399 739

1957 . . . . 187 156 3 1 2 ,8 7 7 1,887 989 2 ,1 6 5 1,426 739

1 9 5 8 . . . . 156 1 14 4 1 2 ,8 9 2 1,894 997 2 ,1 5 6 1,407 749

1 95 9 _____ 1 7 3 124 4 8 2 ,9 2 0 1,906 1,013 2 ,1 6 1 1,396 765

1960 _____ 172 122 5 0 2 ,9 4 1 1,909 1,032 2 ,1 6 1 1,378 783

196 1 _____ 1 6 5 125 4 0 2 ,9 4 9 1,906 1,042 2 ,1 5 1 1,360 790

1 9 6 2 . . . . 191 139 5 1 2 ,9 7 3 1 , 9 0 8 1,064 2 ,1 6 5 1,356 809

1 963 _____ 2 13 158 5 4 3 , 0 12 1,923 1 , 0 8 9 2 ,2 0 0 1,370 830

1 964 _____ 2 2 5 153 7 1 3 ,0 6 0 1 , 9 2 8 1 ,1 3 1 2 ,2 4 8 1,381 867

1 9 6 5 . . . . 298 22 1 7 7 3, 178 1,999 1, 179 2 ,3 6 9 1,460 908

1966 _____ 4 3 9 277 162 3 ,4 3 8 2 , 126 1,311 2 ,6 3 0 1,596 1,033

1967 . . . . 336 240 9 5 3,5 9 7 2 ,2 2 0 1,377 2 ,7 8 3 1,692 1,091

1 9 6 8 . . . . 40 1 272 129 3 ,8 2 3 2 ,3 4 8 1,474 2 ,9 9 8 1 , 8 18 1,179

1969 _____ 4 8 1 325 155 4 ,1 3 0 2 ,5 3 2 1,598 3 ,2 8 6 1, 992 1,293

1970 _____ 4 2 2 3 1 1 1 1 1 4 ,3 7 9 2 ,7 0 3 1,675 3 ,5 0 4 2 ,1 4 3 1,360

197 1 _____ 5 2 8 406 122 4 ,7 3 2 2 ,9 6 8 1,763 3 ,8 1 8 2 ,3 8 1 1,437

1972 _____ 6 7 5 530 145 5 ,2 2 6 3 ,3 5 3 1,873 4 ,2 6 4 2 ,7 2 9 1,535

1 9 7 3 . . . . 559 428 130 5 ,5 9 8 3 ,630 1,968 4 ,5 7 4 2 ,9 5 7 1 , 6 16

1 97 4 _____ 4 4 4 338 105 5 ,8 4 5 3 ,8 0 8 2 ,0 3 6 4 ,7 5 0 3 ,0 7 9 1,671

5 9

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 19. Miscellaneous fabricated textile products: Historical dollars

(Millions of dollars)

Y ea r

G ross i n v e s t m e n t G ro ss s to c k s

-------------------------------r

N et s to c k s

I

T o t a l I E q u i p m e n t S t r u c t u r e s

i i r

T p t a l | E q u i p m e n t | S t r u c t u r e s | T o ta l E q u i p m e n t | S t r u c t u r e s

1 9 4 7 _____ $ 18 I $ 1 1 $ 6

I

$116 i $69 $46 $99 $58 | $4 1

1 94 8 _____ 2 1 1 14 7 133 I 80 I 52 | 1 14 67 I 4 6

1 94 9 _____ 14 I 9 4 143 | 87 | 56 | 122 72 | 4 9

1950 _____ 15 j 1 1 3 155 | 9 5 5 9 131 7 9 5 2

195 1 _____ 20 | 14 5 170 | 106 | 64 | 143 87 I 5 6

1 95 2 _____ 16 I 12 3 180 | 1 14 66 | 15 1 93 I 5 7

1 95 3 _____ 16 | 12 4 19 1 | 12 1 I 69 | 158 98 I 6 0

1 95 4 _____ 2 5 | 14 10 209 | 130 | 79 | 173 104 | 6 8

1 95 5 _____ 20 | 15 4 222 | 139 82 | 183 112 | 7 1

1956 _____ 2 1 | 16 4 235 | 149 | 86 | 193 119 j 7 3

1 9 5 7 _____ 19 | 16 3 247 | 159 | 88 | 200 126 | 7 4

1 95 8 _____ 24 | 15 8 262 | 167 | 95 | 2 12 1 3 1 | 8 0

1 959 _____ 2 5 | 15 9 278 | 174 103 | 223 136 | 8 7

1960 --------- 24 | 14 10 292 I 180 112 | 233 139 | 9 4

1 9 6 1 . . . . 21 I 16 5 302 | 186 | 115 | 239 142 j 9 6

1962 --------- 2 5 | 16 8 315 | 192 | 122 | 248 146 | 10 1

1963 _____ 34 | 2 4 9 335 I 205 | 130 | 265 157 | 107

1 96 4 _____ 33 | 2 0 1 2 354 | 214 | 140 | 280 164 | 116

1 96 5 _____ 5 0 I 4 0 9 389 I 2 4 1 | 148 | 3 12 189 | 122

1966 _____ 4 8 I 3 3 14 422 | 262 I 160 | 340 208 | 132

1967 _____ 57 | 4 0 16 463 | 289 173 376 232 I 144

1 9 6 8 _____ 67 I 5 0 17 514 | 325 I 188 | 42 1 264 | 156

1969 _____ 8 5 I 6 5 19 581 | 376 | 205 | 482 310 | 17 1

1 9 7 0 _____ 108 I 8 6 2 2 670 I 446 224 563 375 188

197 1 _____ 1 04 | 8 5 19 755 | 5 15 | 239 | 637 436 I 20 1

1 97 2 _____ 9 1 I 7 0 2 1 824 | 567 | 256 | 694 478 I 216

1 97 3 _____ 105 | 7 6 2 9 905 | 623 | 2 8 1 | 76 1 523 1 238

1 97 4 _____ 1 11 I

________________ I_____

9 6 14 990 I

________________ l____

6 9 8 |

________________ I___

2 92 |

________L

8 3 0 584 | 245

Sector 19. Miscellaneous fabricated textile products: Constant dollars

(Millions of 1972 dollars)

Y ea r

G ro ss i n v e s t m e n t G ro ss s to c k s N et s to c k s

T o t a l | E q u i p m e n t 1 S t r u c t u r e s 1 T o t a l | E q u i p m e n t | S t r u c t u r e s T o t a l | E q u i p m e n t S t r u c t u r e s

1947 _____ $ 39 I $25 $14 $371 | $193 $ 178

I

$307 I $ 157 $150

1 94 8 _____ 4 2 1 29 I 13 | 403 | 2 14 188 333 | 174 159

1 94 9 _____ 2 8 | 18 | 9 I 4 18 j 223 | 195 343 j 179 163

1950 _____ 2 9 I 2 2 7 | 435 | 235 | 199 353 I 187 165

195 1 _____ 34 | 24 | 10 | 455 | 249 I 206 367 I 197 170

1 95 2 _____ 27 | 21 1 6 I 467 I 258 I 209 373 I 202 170

1953 _____ 2 7 | 20 I 7 | 477 I 264 | 2 12 377 I 205 17 1

1 95 4 _____ 4 2 | 23 | 18 I 5 0 1 | 273 | 227 395 | 21 1 184

1 95 5 _____ 3 2 I 24 | 7 | 5 14 | 283 231 402 I 2 17 185

1956 . . . . 32 1 24 I 7 I 526 | 2 9 1 I 234 408 | 22 1 186

1957 _____ 2 8 | 23 j 4 I 532 I 297 | 235 408 j 225 183

1 9 5 8 _____ 35 I 21 I 13 I 545 j 3 0 1 | 243 415 | 225 189

1959 _____ 3 6 | 21 I 15 | 558 I 304 254 422 | 225 197

1960 _____ 35 I 19 I 16 I 569 | 303 265 428 I 222 205

1 9 6 1 . . . . 30 | 21 I 8 I 572 I 304 | 268 427 | 221 205

1 9 6 2 _____ 35 I 22 I 13 | 580 | 305 I 275 4 3 1 | 22 1 210

1 963 _____ 4 7 | 32 | 15 I 598 | 3 15 | 283 446 | 230 216

1 96 4 _____ 46 | 26 | 20 | 614 | 318 | 296 460 | 233 227

1 96 5 _____ 6 5 | 5 0 14 650 | 346 | 303 493 | 26 1 232

1966 _____ 6 2 | 4 1 I 2 1 1 682 I 365 I 3 16 522 I 279 243

1967 _____ 7 2 | 49 I 23 | 723 I 391 | 331 560 I 304 255

1 96 8 _____ 8 1 1 57 | 23 | 772 | 426 I 345 605 | 337 268

1 9 6 9 _____ 9 7 | 72 | 24 | 837 | 476 | 36 1 665 | 382 282

1970 _____ 1 17 | 9 1 25 I 921 I 544 | 377 742 I 445 296

1 9 7 1 . . . . 107 | 87 | 20 I 995 | 607 | 387 806 I 50 1 304

1 97 2 _____ 9 1 I 70 | 21 I 1,051 | 652 | 399 851 I 536 314

1 9 7 3 _____ 10 1 | 74 | 26 | 1,115 | 699 | 4 15 902 I 573 328

1974 _____ 9 6 | 85 |

____________1__

1 1 I 1,173 |

___________ I___

7 55 I

____________ L_

4 1 7 944 |

____________ l___

6 16 328

6 0

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 20. Lumber and wood products excluding containers: Historical dollars

(Millions of dollars)

Y ea r

G ro ss in v e s tm e n t

—

G ro ss s to c k s N et s to c k s

----------------------------j |

T o t a l I E q u i p m e n t I S t r u c t u r e s

r

T o ta l E q u ip m e n t I S t r u c t u r e s T o ta l

r

E q u i p m e n t j S t r u c t u r e s

1 9 4 7 . . . . $235 I $ 155 I $79 $ 1 ,1 4 4 | $464 $679 $859 I $ 4 0 1 I $458

1 94 8 _____ 2 48 I 174 | 7 4 1,343 | 620 722 1,057 | 552 I 505

1 94 9 _____ 188 I 133 | 5 5 1,481 | 736 744 1,189 | 656 | 532

1 9 5 0 _____ 24 1 I 172 6 8 1,672 I 891 780 1,367 | 793 I 574

195 1 _____ 2 65 I 183 I 8 2 1,884 | 1,054 | 830 1,561 I 931 I 630

1952. .. . 183 I 137 I 4 6 2 ,0 1 1 I 1,166 845 1,663 | 1,013 I 650

1 95 3 _____ 185 I 130 I 5 5 2 ,1 3 2 I 1,263 | 868 1,758 I 1,078 | 680

1954 _____ 2 4 0 | 169 I 7 0 2 ,3 0 1 | 1,391 | 909 1,897 | 1,172 | 725

1955 _____ 3 17 | 224 | 9 2 2 ,5 3 8 | 1,565 973 2 ,1 0 4 [ 1,311 i 792

1956 _____ 3 08 I 221 I 8 6 2 ,7 6 0 | 1,728 1,032 2 ,2 9 1 | 1,437 | 854

1957 _____ 2 23 I 169 | 5 3 2 ,8 9 1 | 1,830 | 1,060 2 ,3 8 3 | 1,500 | 882

1958 _____ 2 88 I 192 I 9 5 3 ,0 8 2 | 1 , 9 4 9 1,132 2 ,5 3 1 I 1,578 I 952

1959 _____ 3 19 I 228 | 9 1 3 ,2 9 7 | 2 ,0 9 6 | 1,201 2 ,6 9 8 | 1,681 | 1,017

1 9 6 0 . . . . 328 I 24 1 8 7 3 ,5 1 3 | 2 ,2 4 5 1,268 2 ,8 6 2 I 1,785 | 1,076

1 9 6 1 . . . . 248 | 178 I 6 9 3 ,6 3 8 I 2 ,3 2 0 | 1,318 2 ,9 3 3 I 1,816 | 1,116

1962 . . . . 312 I 231 I 8 0 3 ,8 1 5 I 2 ,4 3 4 | 1,380 3 ,0 5 7 | 1,891 | 1,166

1 96 3 _____ 3 93 I 264 | 128 4 ,0 6 1 I 2 ,5 6 9 I 1,491 3 ,2 5 1 I 1,989 I 1,261

1964 _____ 3 63 I 2 7 1 | 9 2 4 ,2 6 5 | 2 ,6 9 9 | 1,565 3 ,4 0 3 | 2 ,0 8 5 | 1,317

1965 _____ 4 79 | 373 105 4 ,5 7 5 I 2 ,9 2 2 1,652 3 ,6 6 0 I 2 ,2 7 5 I 1,384

1 9 6 6 . . . . 476 i 330 I 9 6 4 ,8 7 2 | 3 ,1 4 2 I 1,729 3 ,9 0 1 | 2 ,4 6 2 1,439

1967 _____ 4 25 I 337 I 8 8 5 ,1 0 8 | 3 ,3 1 0 | 1,797 4 ,0 7 7 I 2 ,5 9 4 | 1,482

1968. .. . 481 I 397 I S 3 5 ,3 8 9 | 3 ,5 3 0 | 1,858 4 ,2 9 4 | 2 ,7 7 5 1,518

1 96 9 _____ 5 87 | 4 7 1 | 116 5 ,7 6 4 | 3 ,8 1 5 | 1 , 9 4 9 4 ,6 0 0 | 3 ,0 1 6 | 1,583

1970 . . . . 536 1 425 I 110 6 ,0 7 5 I 4 ,0 4 3 | 2 ,0 3 1 4 ,8 3 4 | 3 ,1 9 4 | 1,639

1 9 7 1 . . . . 7 18 | 575 I 143 6 ,5 5 1 I 4 ,4 0 7 | 2 ,1 4 3 5 ,2 3 1 I 3 ,5 0 6 I 1,724

1 9 7 2 . . . . 858 I 668 I 190 7 ,1 5 0 | 4 ,8 5 0 | 2 ,2 9 9 5 ,7 4 5 I 3,8 9 1 | 1,854

1973. .. . 897 I 725 I 17 1 7 ,7 7 1 | 5 ,3 3 8 | 2 ,4 3 3 6 ,2 7 1 I 4 ,3 1 1 I 1,960

1 97 4 _____ 1 ,315 |

__________ !___

1 ,034 | 280 8 ,7 9 2 I

I

6 ,1 2 0 | 2 ,6 7 1 7 , 1S5 I

__________ L_

5 ,0 1 3 |

____________I__

2 ,1 7 1

Sector 20. Lumber and wood products excluding containers: Constant dollars

(Millions of 1972 dollars)

Y ea r

—

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l | e q u i p m e n t | S t r u c t u r e s T o ta l E qu i p m e n t S t r u c t u r e s

r

T o ta l E q u i p m e n t S t r u c t u r e s

1947 _____ $ 537 | $36 1 $175 $ 4 ,0 0 6 $ 1 ,2 81 $ 2 ,7 2 4 $ 2 ,7 6 8 I $ 1 ,0 71 $ 1 ,6 9 7

1 9 4 8 . . . . 518 I 369 I 148 4 ,3 0 7 1,592 2 , 7 15 3 ,0 9 7 | 1,373 1,724

1 9 4 9 _____ 3 83 | 2 7 1 | 112 4 ,4 7 8 1,806 2 ,6 7 1 3 ,2 8 3 | 1,563 1 , 7 19

1 9 5 0 _____ 4 87 | 345 14 1 4 ,7 5 4 2 ,0 9 4 2 ,6 5 9 3 ,5 6 3 | 1,814 1,749

1 9 5 1 . . . . 479 | 326 | 152 5,021 2 ,3 5 8 2 ,6 6 2 3 ,8 2 2 | 2 ,0 2 8 1,794

1 9 5 2 . . . . 323 | 240 | 8 2 5 ,1 2 5 2 ,5 2 5 2 ,5 9 9 3 ,9 0 8 | 2 ,1 3 5 1,773

1 95 3 _____ 3 27 | 229 | 9 7 5 ,2 2 2 2 ,6 6 4 2 ,5 5 7 3 ,9 8 5 | 2 ,2 1 2 1 , 7 7 3

1 95 4 _____ 4 20 | 292 | 128 5 ,4 0 3 2 ,8 5 0 2 ,5 5 2 4 ,1 4 4 | 2 ,3 3 7 1,807

1 9 5 5 . . . . 541 | 373 167 5 ,6 9 4 3 ,1 0 1 2 ,5 9 3 4 ,4 1 2 I 2 ,5 2 7 1,885

1956 _____ 4 79 | 335 | 143 5 ,9 1 7 3 ,2 9 9 2 , 6 17 4 ,6 0 6 | 2 ,6 6 3 1,943

1957 _____ 3 26 I 2 4 1 I 8 5 5 ,9 8 2 3,3 9 1 2,5 9 1 4 ,6 3 7 I 2 ,6 9 1 1 , 9 4 5

1958 _____ 4 24 | 267 | 157 6 ,1 4 3 3 ,4 9 8 2 ,6 4 4 4 ,7 5 6 I 2 ,7 3 4 2 ,0 2 1

1 95 9 _____ 4 60 | 308 | 15 1 6 ,3 3 4 3 ,6 3 4 2 ,7 0 0 4 ,8 9 8 | 2 ,8 0 4 2 ,0 9 4

1960 _____ 4 67 | 32 1 145 6 ,5 2 3 3 ,7 6 5 2 ,7 5 7 5 ,0 3 5 I 2 ,8 7 3 2 ,1 6 1

1 9 6 1 . . . . 353 I 23S | 1 15 6 ,586 3 ,7 9 5 2 ,7 9 1 5 ,0 4 5 | 2 ,8 4 8 2 ,1 9 7

1962 _____ 4 40 | 308 | 132 6 ,7 2 2 3 ,8 7 5 2 ,8 4 7 5 ,1 3 3 I 2 ,8 8 4 2 ,2 4 9

1963 _____ 5 55 | 347 207 6 ,9 6 0 3 ,9 7 8 2 ,9 8 2 5 ,3 2 7 | 2 ,9 5 2 2 ,3 7 5

1964 _____ 4 97 | 351 | 145 7 ,131 4,071 3 ,0 6 0 5 ,4 5 5 | 3 , 0 18 2 ,4 3 6

1 96 5 _____ 64 1 | 479 | 162 7 ,4 3 7 4 ,2 8 0 3, 156 5 ,7 1 8 | 3,2 0 7 2 ,5 1 1

1966 . . . . 6 17 | 475 I 14 1 7 ,711 4 ,4 7 9 3 ,2 3 2 5 ,9 4 6 | 3 ,3 8 5 2 ,5 6 1

1967 _____ 5 35 | 411 | 124 7 ,8 9 8 4 ,6 0 6 3,2 9 1 6 ,0 8 1 | 3 ,4 8 9 2 ,5 9 1

1 96 8 _____ 5 75 I 462 | 1 12 8 ,1 1 6 4 ,7 7 8 3 ,3 3 8 6 ,2 4 3 I 3 ,6 3 7 2 ,6 0 6

1969 _____ 6 73 | 529 | 143 8 ,4 2 4 5 , 0 12 3 ,4 1 2 6 ,4 8 8 | 3 ,8 4 1 2 ,6 4 7

1970 _____ 5 83 | 457 125 8 ,6 3 1 5 , 166 3 ,4 6 5 6 ,6 2 5 I 3 ,9 5 9 2 ,6 6 6

1 9 7 1 . . . . 738 I 587 150 8 ,9 7 9 5 ,4 3 9 3 ,5 3 9 6 ,9 0 1 I 4 ,1 9 5 2 ,7 0 6

1 97 2 _____ 8 58 | 668 | 190 9 ,4 3 2 5 ,7 8 3 3 ,6 4 8 7 ,2 7 9 | 4 ,4 9 6 2 ,7 8 3

1 9 7 3 . . . . 863 | 704 I 159 9 ,8 7 5 6 , 154 3 ,7 2 0 7 ,6 4 0 | 4 ,8 1 6 2 ,8 2 4

1974 _____

_______________

1 ,126 I

________________ I____

9 07 |

________________ l _

2 19 10,566 6 , 7 19 3 ,8 4 7 8 ,2 4 2 I

________________ I___

5 ,3 2 0 2 ,9 2 2

Digitized for FRASER 

61

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
(Millions of dollars)

Sector 21. Wooden containers: Historical dollars

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E qu i p m e n t S t r u c t u r e s T o ta l E q u i p i n e n t S t r u c t u r e s

1 94 7 _____ $ 1 3 $ 9 $ 4 $60 $39 $21 $54 $35 $ 18

1 948 _____ 6 0 5 1 9 1 19 8 9 3 0 1 1 2 8 4 2 7

1 949 _____ 2 1 17 3 138 105 3 3 129 9 9 2 9

1 95 0 _____ 3 3 2 5 7 1 7 0 130 3 9 157 121 3 6

1 95 1 _____ 6 7 5 5 12 235 184 5 1 219 172 4 7

1 95 2 _____ 8 6 2 2 4 1 188 5 2 220 172 4 7

1 95 3 _____ 1 1 9 2 250 196 5 4 223 174 4 9

1954 _____ 10 7 3 257 200 5 6 224 174 5 0

1 95 5 _____ 10 8 2 264 206 5 7 225 173 5 1

1956 _____ 13 10 2 273 2 13 5 9 227 174 5 2

1 95 7 _____ 5 4 1 2 7 3 213 6 0 219 167 5 2

1 95 8 --------- 7 4 2 2 7 3 211 6 1 212 159 5 3

1 95 9 _____ 5 4 1 27 1 209 6 2 203 150 5 2

1960 _____ 8 4 3 2 6 9 204 6 5 195 140 5 4

196 1 _____ 7 4 3 2 6 5 197 6 7 185 129 5 6

1 962 _____ 8 5 3 2 5 9 189 7 0 176 119 5 7

1 9 6 3 _____ 9 5 3 2 5 2 179 7 3 168 109 5 8

1 9 6 4 _____ 7 5 1 2 4 2 168 7 3 157 9 9 5 8

1 96 5 _____ 1 3 8 4 236 159 7 6 153 9 3 5 9

1 966 _____ 2 1 16 5 237 157 8 0 158 9 6 6 1

1 967 _____ 10 7 3 228 146 8 1 154 9 1 6 2

1968 _____ 1 1 6 4 220 136 8 4 151 8 7 6 4

1 9 6 9 _____ 1 2 8 4 215 128 8 6 150 8 5 6 5

1970 _____ 1 1 7 3 210 122 8 7 149 8 4 6 5

197 1 _____ 8 6 2 2 0 3 1 16 8 7 146 8 2 6 3

1 97 2 _____ 10 8 2 200 1 13 8 7 146 8 3 6 3

1 97 3 _____ 1 1 6 4 200 1 1 1 8 8 147 8 3 6 3

1 9 7 4 _____ 12 9

__________

2 20 1 114 8 7 1 4 9

________

8 7 6 2

Sector 21. Wooden containers: Constant dollars

(Millions of 1972 dollars)

Y ea r

—

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1947 _____ $ 3 3 $23 $ 9 $192 $117 $75 $165 $103 $6 1

1 94 8 --------- 1 3 9 121 18 327 236 9 1 298 220 7 7

1 94 9 _____ 4 6 3 9 6 369 273 9 5 334 252 8 1

1950 --------- 7 0 5 5 15 434 325 108 393 299 9 4

1 95 1 _____ 1 2 9 107 2 2 558 430 128 509 395 113

1 9 5 2 _____ 14 1 1 3 567 437 130 506 392 113

1 953 --------- 2 1 17 4 582 450 132 508 393 1 14

1 95 4 _____ 18 12 5 591 456 135 504 387 1 16

1 9 5 5 _____ 18 1 5 3 600 464 136 499 382 1 1 6

1956 _____ 2 1 17 4 6 10 472 138 493 376 117

1 957 _____ 8 6 1 6 0 4 466 138 47 1 356 115

1 95 8 _____ 10 6 3 598 457 140 450 334 115

1 959 _____ 8 6 1 5 8 6 446 140 424 311 113

1 96 0 _____ 1 2 6 6 574 430 144 400 285 1 1 5

196 1 _____ 1 1 5 5 556 409 147 374 257 1 16

1 96 2 _____ 12 6 5 536 385 150 348 231 1 17

1 9 6 3 _____ 1 3 7 5 512 358 153 323 206 1 17

1 9 6 4 _____ 10 7 2 481 328 153 296 181 1 1 4

1 96 5 _____ 17 1 1 6 456 300 155 279 163 1 1 5

1966 _____ 2 8 2 1 7 44 1 281 159 274 158 116

1967 _____ 1 3 8 5 412 252 160 258 142 115

1 9 6 8 _____ 14 7 6 385 224 16 1 245 129 1 15

1 96 9 --------- 14 9 5 363 20 1 16 1 235 121 113

1970 _____ 1 2 8 4 342 181 160 226 1 14 11 1

1 9 7 1 _____ 8 6 2 3 2 0 164 156 214 107 106

1 9 7 2 _____ 10 8 2 305 152 152 208 105 103

1 9 7 3 _____ 10 6 3 294 144 150 202 102 100

1 97 4 _____ 10 7 2 285 140 145 197 101 9 5

6 2

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 22. Household furniture: Historical dollars

(Millions of dollars)

Y ea r

G ross

---------------------------------------------------------------- f

i n v e s t m e n t

-------------------------------------------------------------------------- r

G ro ss s to c k s N et s to c k s

----------------------------!

T o t a l I E q u i p m e n t

r

S t r u c t u r e s I

I

T o ta l E q u i p m e n t S t r u c t u r e s I

I

I I

T o t a l I E q u i p m e n t I S t r u c t u r e s

_______ I__________ I______________________

1 947 . . . . $52 | $35 $16 | $2 18 $ 1 18 $99 $ 187 | $ 104 $82

1 94 8 _____ 2 9 I 18 10 | 241 134 107 | 207 | 117 | 9 0

1 94 9 _____ 2 5 I 16 9 1 26 1 146 1 14 | 223 | 127 | 9 6

1950 _____

I

3 6 | 2 2 14 | 291 165 125 I 249 | 142 I 107

195 1 _____ 3 5 I 2 3 12 319 183 135 I 272 | 156 I 1 15

1952. .. . 37 | 2 2 14 j 347 200 147 | 296 | 169 126

1 95 3 --------- 34 | 2 1 12 I 372 215 157 | 3 15 I 180 I 135

1 954 _____ 3 8 | 2 3 14 | 400 231 168 | 337 | 191 | 145

1955 _____ 44 | 2 5 18 I 433 248 184 363 I 203 I 159

1956 _____ 70 I 4 8 22 I 492 288 204 I 415 I 237 | 177

1957 _____ 4 4 | 2 7 16 | 524 306 2 18 I 438 I 248 I 189

1 95 8 _____ 47 | 3 0 17 | 558 325 233 I 463 I 2 6 1 | 202

1 95 9 _____ 50 I 2 9 20 | 593 342 250 488 | 271 | 2 17

1960 . . . . 45 | 2 8 17 621 355 265 507 I 278 228

196 1 _____ 4 1 I 2 7 13 I 643 366 276 519 | 282 I 236

1 962 _____ 5 1 I 3 0 21 I 673 378 294 | 540 I 289 I 250

1 963 _____ 6 3 | 4 1 21 I 7 13 400 313 I 5 7 1 I 306 I 265

1 964 --------- 6 9 | 4 3 2 5 757 422 335 | 606 | 324 | 282

1 96 5 _____

I

98 | 5 9 39 I 828 458 370 669 | 356 I 3 13

1966 _____ 1 21 I 7 1 4 9 92 1 506 4 15 I 752 | 400 | 352

1967 _____ 104 | 6 4 40 | 996 545 451 | 8 17 | 433 | 383

1968 . . . . 95 I 6 3 32 I 1,061 583 478 I 869 | 465 I 403

1 96 9 _____ 1 16 I 6 7 48 j 1, 144 623 521 | 9 3 8 | 

j

497 | 440

1970 --------- 1 51 | 9 8 5 2 1,260 693 567 1,039 | 559 479

197 1 _____ 124 | 7 8 45 I 1,346 740 605 I 1,109 I 597 I 5 1 1

1 9 7 2 . . . . 203 I 125 77 I 1,510 834 675 I 1,254 | 680 I 574

1973. .. . 229 | 132 97 | 1,696 932 764 1,420 | 765 654

1 97 4 _____ 2 44 |

________1__

1 4 3 1 0 0 I 1,895 1,039 855 I 1 , 5 9 5 1 

_______ 1__

8 58 I 737

Sector 22. Household furniture: Constant dollars

(Millions of 1972 dollars)

Y ear

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

I I 1

T o t a l | E q u i p m e n t I S t r u c t u r e s 

1_______________

T o ta l Equ i p m e n t S t r u c t u r e s

I

T o ta l I : q u i p m e n t

—

S t r u c t u r e s

1 94 7 _____ $ 122 |

1

$86 | $36 $695 I $332 $363 $568 | $285 $283

1948 _____ 6 1 I 40 I 2 0 736 | 362 373 602 I 309 293

1 94 9 _____ 5 2 |

I

3 4 | 

1

18 767 | 385 38 1 624 I 325 299

1950 _____ 7 4 | 4 5 2 9 819 | 418 400 667 | 350 3 17

195 1 _____ 6 3 I 9 1 I 2 2 858 | 446 4 12 695 I 368 327

1 952 _____ 6 5 | 40 | 2 5 896 I 469 426 722 I 383 339

1 9 5 3 . . . . 59 | 3 7 2 2 926 | 488 438 742 j 393 349

1 954 _____ 6 6 |

1

40 | 2 5 960 | 507 453 766 I 404 36 1

1 95 5 _____ 7 5 I 4 2 3 3 1,002 | 527 475 797 | 4 15 38 1

1956 _____ 1 10 | 7 2 3 7 1,078 I 576 50 1 8 6 1 I 456 405

1957 _____ 6 5 | 39 | 2 6 1,108 | 59 1 517 877 | 460 4 17

1958 _____ 70 | 42 | 2 8 1,142 I 607 534 896 I 464 43 1

1 95 9 _____ 74 |

| |

40 | 3 3 1,176 | 6 18 557 9 16 | 465 450

1960 _____ 66 | 38 | 2 8 1,199 | 623 575 925 I 462 463

196 1 _____ 5 8 | 36 I 2 2 1,210 j 623 586 924 | 455 469

1962 _____ 7 5 I 40 | 3 5 1,234 | 624 609 939 | 45 1 487

1 96 3 _____ 9 0 | 55 I 3 5 1,270 | 637 632 967 | 462 504

1964 _____ 9 6 | 

|

56 | 4 0 1,311 j 650 660 1,000 i 475 525

1 96 5 _____ 135 | 7 5 6 0 1,389 | 682 706 1,072 I 506 566

1966 _____ 162 | 89 | 7 2 1,492 I 727 765 1,168 | 551 6 17

1967 _____ 135 | 77 | 5 8 1,569 | 760 808 1,235 | 582 653

1 96 8 _____ 1 16 | 73 | 4 3 1,625 | 788 837 1,281 | 607 674

1 96 9 _____ 135 | 74 | 6 0 1,700 | 8 18 882 1,343 I 632 7 1 1

1970 _____ 164 | 104 5 9 1,802 | 877 924 1,432 | 686 745

197 1 _____ 128 | 79 | 4 8 1,866 | 910 955 1 , 4 8 0 | 7 12 767

1 972 _____ 2 03 1 125 I 7 7 2 ,0 0 3 | 989 1 , 0 14 1,600 | 782 8 17

1 97 3 _____ 2 18 | 128 I 9 0 2 ,1 5 3 | 1,068 1, 084 1,730 I 85 1 879

1974 _____ 2 05 |

______ L

1 2 6 |

________________1___

7 8 2 ,2 8 6 | 1, 144

________________

1 , 142

_____________________

1 ,842 |

________________ I____

9 15 927

6 3

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 23. Other furniture and fixtures: Historical dollars

(Millions of dollars)

—

Y ea r

—

G ro ss in v e s tm e n t

—

G ro ss s to c k s N et s to c k s

T o ta l

I

E q u i p m e n t | S t r u c t u r e s T o t a l | E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1 9 4 7 _____ $ 1 8 $10 $ 7 $130 | $63 $6 6 $ 120 $59 $6 1

1 9 4 3 _____ 2 3 15 | 7 15 1 I 7 8 7 2 139 7 1 6 7

1 94 9 _____ 13 9 I 4 16 1 | 8 6 7 5 146 7 6 6 9

1950 _____ 15 9 I 5 174 I 9 3 8 0 155 8 1 7 3

1 9 5 1 . . . . 15 10 | 5 186 | 10 1 8 4 163 8 6 7 6

1 9 5 2 . . . . 14 s I 5 196 I 106 8 9 169 8 8 8 0

1 95 3 _____ 2 0 11 I 8 2 10 | 113 9 7 179 9 2 8 7

1 95 4 _____ 2 0 12 | 7 224 | 120 103 189 9 6 9 2

1 95 5 _____ 2 6 17 | 9 243 | 132 1 1 1 205 106 9 9

1956 _____ 3 3 18 | 15 270 I 144 125 227 1 16 1 1 1

1957 _____ 4 3 26 | 17 306 | 164 14 1 258 132 126

1958 _____ 3 1 19 12 329 | 176 152 275 140 135

1 95 9 _____ 2 7 17 | 10 347 | 185 162 288 146 14 1

1960 _____ 3 1 19 | 1 1 367 | 195 172 302 153 149

196 1 _____ 3 3 19 I 13 388 | 204 184 317 158 158

1 96 2 _____ 4 1 18 I 2 2 4 16 | 2 1 1 205 339 162 176

1 9 6 3 _____ 4 2 2 4 | 17 443 | 222 220 36 1 172 188

1 96 4 _____ 3 4 2 3 10 4 6 1 | 232 229 373 179 193

1 96 5 _____ 4 5 2 8 I 17 490 I 246 244 397 191 205

1966 _____ 5 4 36 I 18 528 I 268 260 428 2 10 2 17

1967 _____ 8 6 44 | 4 1 596 | 297 298 488 236 252

1 96 8 _____ 7 6 43 I 3 2 653 I 325 327 538 26 1 276

1969 _____ 6 7 42 | 2 4 699 | 35 1 348 575 282 293

1970 _____ 7 1 5 5 16 749 | 389 359 6 14 3 14 300

197 1 _____ 6 5 4 1 I 2 3 790 | 412 378 645 331 314

1 97 2 _____ 104 65 I 3 8 868 | 457 4 1 1 7 12 369 342

1 97 3 _____ 1 15 64 | 5 1 956 | 499 456 787 404 383

1 97 4 _____ 1 0 8 75 i

_____________________ l___

3 2 1 ,033 | 55 1 48 1 851

________________

4 4 8

_____________________

4 0 3

Sector 23. Other furniture and fixtures: Constant dollars

(Millions of 1972 dollars)

Y ea r

G ro ss in v e s tm e n t

-------------------------------------------------- r

G ro ss s to c k s N et s to c k s

T o ta l E q u i p m e n t I S t r u c t u r e s

I

T o ta l | Equi p m e n t

r

S t r u c t u r e s I T o ta l

I

E q u i p m e n t I S t r u c t u r e s

1947 _____ $ 3 9 $22 $16 $360 | $156 $204 $323

r

$142 | $ 180

1 94 8 _____ 4 7 32 I 14 4 0 1 | 185 2 15 | 358 168 | 190

1 9 4 9 . . . . 2 5 17 j 8 420 | 199 220 370 176 | 193

1 9 5 0 _____ 2 9 18 1 1 442 I 2 13 228 | 383 183 200

1 95 1 _____ 2 6 17 I 9 459 | 224 234 i 39 1 187 | 204

1 95 2 _____ 2 3 1 3 | 10 471 | 230 241 | 395 186 I 209

1 9 5 3 _____ 3 4 19 | 15 4 9 1 | 238 253 | 407 188 | 2 18

1 954 _____ 3 3 19 13 508 | 245 263 | 4 17 191 | 226

1 95 5 _____ 4 3 2 7 | 15 535 I 259 275 | 436 20 1 235

1956 _____ 5 1 26 | 2 4 568 | 27 1 296 | 462 209 | 253

1957 _____ 6 2 3 5 | 2 7 6 13 | 292 320 498 225 | 273

1 95 8 _____ 4 5 2 5 | 19 640 I 302 337 | 515 229 | 285

1 95 9 _____ 3 9 22 16 658 | 307 350 | 524 230 | 293

1960 . . . . 4 4 2 5 19 680 | 3 14 366 | 536 233 | 303

196 1 _____ 4 7 24 | 2 2 7 0 1 I 3 17 384 550 233 I 3 16

1 96 2 _____ 5 9 2 3 | 3 6 733 | 3 18 415 | 574 233 | 341

1 963 _____ 5 9 3 1 2 8 763 | 325 438 | 598 240 | 357

1964 _____ 4 6 29 I 16 779 | 330 448 | 607 245 | 362

1 965 _____ 6 2 35 | 2 6 809 | 341 468 | 63 1 255 | 375

1 9 6 6 . . . . 7 1 44 | 2 7 849 | 36 1 487 | 664 275 | 388

1 9 6 7 _____ 1 1 1 52 | 5 9 928 | 389 538 | 735 302 I 433

1 96 8 _____ 9 3 49 I 44 989 | 4 15 573 | 786 325 | 46 1

1 96 9 _____ 7 7 46 | 3 0 1,031 | 438 593 | 8 19 343 | 475

1 9 7 0 _____ 7 6 5 8 18 1,072 | 47 1 600 848 372 476

197 1 _____ 6 6 4 2 2 4 1,101 | 488 6 12 | 866 382 | 483

1 97 2 _____ 1 0 4 6 5 3 8 1,164 | 526 638 | 9 18 4 15 j 503

1 9 7 3 _____ 1 10 6 3 4 7 1,232 I 560 6 7 1 | 974 442 | 531

1 97 4 _____ 9 3

________

6 8 I

__________ I_

2 5 1 ,280 | 598 6 8 2 I 

_____________________ L

1 ,010 473 | 536

6 4

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 24. Paper and allied products: Historical dollars

(Millions of dollars)

Y ear

G ro ss in v e s tm e n t

—

G ro ss s to c k s N et s to c k

I

T o ta l I

I

: q u i p m e n t | S t r u c t u r e s T o ta l E q u i p m a n t S t r u c t u r e s

I

T o ta l I E q u i p m e n t S t r u c t u r e s

1 9 4 7 _____ $ 357 | $254 | $103 $ 1 ,3 2 6 $808 $517 $ 1 ,0 9 9 I $692 $407

1 9 4 8 . . . . 301 I 240 | 6 0 1,586 1 , 0 2 3 563 1,350 | 898 45 1

1 94 9 _____ 2 69 | 2 16 | 5 2 1 ,8 15 1,214 60 1 1,563 | 1,075 488

1950 _____ 2 67 | 209 | 5 7 2 ,0 4 2 1,398 644 1,767 | 1,238 529

195 1 _____ 341 | 269 | 7 1 2 ,3 4 1 1,641 700 2 ,0 3 7 | 1,453 583

1952 _____ 3 23 | 265 | 5 8 2 ,6 2 1 1,877 744 2 ,2 7 9 I 1,654 624

1953 _____ 3 68 I 299 | 6 9 2 ,9 4 2 2 ,1 4 4 798 2 ,5 5 3 | 1,878 675

1 9 5 4 _____ 4 37 | 334 | 103 3 ,3 2 8 2 ,4 4 2 886 2 ,8 8 4 | 2 , 124 759

1 95 5 _____ 4 73 | 38 1 9 1 3 ,7 4 3 2 ,7 8 0 963 3 ,2 3 3 I 2 ,4 0 2 830

1956 _____ 6 88 I 543 | 145 4 ,3 6 5 3 ,2 7 2 1,093 3 ,7 7 9 | 2 ,8 2 4 954

1957 _____ 7 71 | 609 162 5 ,0 6 1 3 ,8 2 0 1,241 4 ,3 8 5 I 3 ,2 9 1 1,093

1 95 8 _____ 5 00 I 396 I 104 5 ,4 7 4 4 ,1 4 2 1,331 4 ,6 9 3 I 3 ,5 2 0 1,172

1 9 5 9 _____ 5 22 | 424 | 9 7 5 ,8 9 4 4 ,4 7 8 1 , 4 15 4 ,9 9 8 | 3 ,7 5 5 1,242

I 9 6 0 _____ 5 33 I 438 9 5 6 ,3 0 7 4 ,8 0 9 1,497 5 ,2 8 8 | 3 ,9 8 0 1,308

196 1 _____ 5 56 I 4 6 1 | 9 4 6,7 2 1 5 ,1 4 3 1,578 5 ,5 7 5 | 4 ,2 0 3 1,371

1 9 6 2 _____ 5 78 | 488 I 8 9 7 ,1 3 4 5 ,4 8 0 1,654 5 ,8 5 5 | 4 ,4 2 9 1,426

1 9 6 3 . . . . 568 | 475 | 9 3 7 , 5 12 5 ,7 8 0 1,732 6 ,0 9 9 I 4 , 6 16 1,482

1 96 4 _____ 7 42 I 629 | 1 12 8 ,0 3 7 6 ,2 0 8 1,829 6 ,4 8 9 | 4 ,9 3 4 1,554

1 96 5 _____ 1 ,008 | 850 157 8 ,8 0 0 6,831 1 , 9 6 8 7 ,1 1 5 I 5 ,4 4 7 1,667

1 9 6 6 . . . . 1,173 | 980 i 193 9 ,7 0 1 7 ,5 5 7 2, 143 7 ,8 7 3 | 6 ,0 6 0 1 , 8 13

1 9 6 7 _____ 1 ,337 | 1,102 I 234 10,736 8 ,3 8 0 2 ,3 5 6 8 ,7 5 9 | 6 ,7 6 3 1,996

1 968 _____ 9 85 | 799 | 185 11,391 8 ,8 7 2 2 ,5 1 9 9 ,2 5 4 | 7 ,1 3 0 2, 124

1 9 6 9 --------- 1 ,128 | 937 | 190 12,159 9 ,476 2 ,6 8 3 9 ,8 5 7 | 7 ,6 0 5 2 ,2 5 2

1970 . . . . 1,157 I 988 | 168 12,926 10,104 2 ,8 2 2 10,451 | 8 ,0 9 8 2 ,3 5 3

197 1 _____ 1 ,004 | 859 | 145 13,508 10,574 2 ,9 3 3 10,853 I 8 ,4 2 7 2 ,4 2 6

1972 _____ 1 ,130 | 970 I 159 14, 184 11,129 3 ,0 5 4 1 1,344 | 8 ,8 3 6 2 ,5 0 8

1 9 7 3 . . . . 1,303 I 1,145 I 157 15,000 11,831 3 ,1 6 9 11,967 | 9 ,3 8 4 2 ,5 8 3

1974 _____ 1 ,867 | 1 , 6 1 6 | 

___ l___

2 5 0

________

1 6,347 12,975 3 ,3 7 2 13,110 I 10,363 2 ,7 4 7

Sector 24. Paper and allied products: Constant dollars

(Millions of 1972 dollars)

Y ear

I

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o t a l I E q u i p m e n t S t r u c t u r e s

1

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l

I

E q u ip m e n t I S t r u c t u r e s

1947 . . . .

1 ----------------------------1--------

$ 834 | $604 $229 $4,2 41 | $ 2 ,2 9 9 $ 1,9 41 $ 3 ,3 3 4 $ 1 ,9 1 4 | $ 1 ,4 1 9

1 94 8 _____ 6 43 | 522 120 4 ,7 2 5 I 2 ,7 3 5 1, 990 3 ,8 0 3 2 ,3 3 1 | 1,472

1 94 9 _____ 5 67 1 46 1 106 5 ,1 3 5 | 3 ,1 1 0 2 ,0 2 5 4 , 186 2 ,6 7 4 | 1,511

1950 _____

1 1 

546 | 427 1 19 5 ,5 2 6 | 3 ,4 5 2 2 ,0 7 3 4 ,5 3 4 2 ,9 7 0 1,564

1 95 1 _____ 6 21 | 489 132 5 ,9 9 0 | 3 ,8 5 4 2 ,1 3 5 4 ,9 4 2 3 ,3 1 3 | 1,629

1 95 2 _____ 5 86 | 48 1 104 6 ,4 1 4 | 4 ,2 4 4 2 ,1 7 0 5 ,2 9 6 3 ,6 2 8 | 1,667

1953. .. . 656 I 533 122 6 ,9 0 2 | 4 ,6 7 7 2 ,2 2 4 5 ,6 9 8 3 ,9 7 4 I 1 , 7 2 3

1 954 _____ 7 73 | 585 187 7 ,4 9 8 | 5, 153 2 ,3 4 5 6 ,1 9 3 4 ,3 4 8 1,844

1955 _____ 8 01 | 635 165 8 ,1 0 9 | 5 ,6 6 5 2 ,4 4 4 6 ,6 8 7 4 ,7 4 4 I 1,942

1 9 5 6 . . . . I 1 , 0 7 7 | 835 24 1 8 ,9 7 9 I 6 ,3 5 8 2 ,6 2 0 7 ,4 2 5 5 ,3 1 0 I 2 ,1 1 5

1957 . . . . I 1 , 1 2 7 | 870 257 9,881 | 7 ,0 6 6 2 , 8 14 8 ,1 7 6 5 ,8 7 4 | 2 ,3 0 1

1 9 5 8 . . . . 729 I 558 170 10,361 | 7 ,4 3 7 2 ,9 2 3 8 ,4 8 7 6 ,0 8 8 2 ,3 9 8

1959 _____ 7 44 | 581 162 1 0,829 | 7 ,8 0 1 3 ,0 2 7 8 ,7 7 9 6 ,2 9 2 | 2 ,4 8 6

1 9 6 0 . . . .

I I 

750 591 158 1 1,269 I 8 ,1 4 2 3, 126 9 ,0 3 8 6 ,4 7 2 2 ,5 6 5

196 1 _____ 7 81 i 623 157 11,704 | 8 ,4 7 7 3 ,2 2 6 9 ,2 9 3 6 ,6 5 1 I 2 ,6 4 2

1 9 6 2 . . . . 806 | 659 147 1 2,125 I 8 ,8 0 9 3 ,3 1 5 9 ,5 3 9 6 ,8 3 5 I 2 ,7 0 4

1963. .. . 784 | 633 150 1 2,483 | 9,076 3 ,407 9 ,7 2 9 6 ,9 6 3 I 2 ,7 6 5

1964 _____ I 1,007 | 828 179 13,025 i 9 ,4 9 8 3 ,5 2 7 10,112 7 ,2 6 0 | 2 ,8 5 1

1 9 6 5 . . . . I 1 , 3 4 6 I 1,104 24 1 1 3,868 I 10,161 3 ,7 0 7 10,802 7 ,8 0 7 2 ,9 9 5

1966 . . . . i 1 , 5 2 5 i 1,240 284 1 4,853 | 10,925 3 ,9 2 8 1 1 , 6 3 6 8 ,4 5 9 | 3 ,1 7 6

1967 _____ I 1,679 I 1,344 335 15,960 | 11,763 4 ,1 9 7 12,588 9, 185 3 ,4 0 3

1968 _____ I 1,180 I 929 251 16,536 | 12, 157 4 ,3 7 9 13,002 9 ,4 6 4 3 ,5 3 7

1 9 6 9 _____ I 1,291 I 1,053 238 1 7,192 | 12,648 4 ,5 4 3 13,494 9,8 4 1 | 3 ,6 5 3

1970 . . . . I 1 , 2 5 4 I 1,062 191 17,781 I 13,124 4 ,6 5 6 13,916 10,200 | 3 ,7 1 6

197 1 _____ I 1,029 I 876 153 18,114 | 13,388 4 ,7 2 5 14,078 10,344 | 3 ,7 3 4

1 972 _____ 1 1,130 | 970 159 18,518 I 13,724 4 ,7 9 3 14,311 10,557 | 3 ,7 5 3

1973. .. . I 1 , 2 5 8 I 1,112 145 19,021 I 14, 180 4 ,8 4 1 14,638 10,884 | 3 ,7 5 3

1 97 4 _____ 1 ,602 i 1,406 196 1 9 , 8 3 7 | 

I

14,904 4 ,9 3 2 15,273 1 1 , 4 7 3 | 

I

3 ,7 9 9

6 5

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 25. Paperboard containers and boxes: Historical dollars

(Millions of dollars)

Y ea r

—

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t I S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1 94 7 _____ $ 7 1 $45 $25 $26 1 $ 14 1 $119 $223 $124 $99

1 94 8 _____ 7 2 4 8 2 3 3 2 7 186 | 140 286 167 119

1 94 9 _____ 6 4 4 4 2 0 385 227 | 158 340 204 135

1 9 5 0 _____ 4 9 3 6 12 427 260 167 376 232 144

195 1 _____ 8 4 5 6 2 8 504 311 | 192 446 277 168

1 95 2 _____ 4 8 3 9 8 544 346 | 198 477 304 173

1 95 3 _____ 6 7 5 0 17 603 390 | 2 12 525 340 185

1 95 4 _____ 3 4 5 9 2 4 676 442 234 587 382 205

1 95 5 _____ 9 1 6 4 2 7 756 497 | 258 654 427 227

1956 _____ 1 2 4 9 1 3 2 866 578 | 288 750 495 254

1957 _____ 1 17 8 6 3 0 968 653 315 834 556 278

1958 _____ 1 3 6 8 4 5 2 1, 087 723 | 364 934 6 10 324

1 95 9 _____ 1 16 7 9 3 7 1, 184 785 398 1,009 655 353

1960 _____ 1 0 9 8 4 2 5 1,270 849 | 420 1,071 701 370

196 1 _____ 1 13 8 0 3 3 1,357 906 | 450 1, 133 738 394

1 9 6 2 _____ 16 1 116 4 4 1,487 995 49 1 1,238 808 429

1963 _____ 14 1 115 2 6 1,592 1,078 | 514 1,316 87 1 445

1 964 _____ 1 6 1 123 3 7 1,712 1,165 | 547 1,409 938 470

1 96 5 _____ 1 7 9 133 4 6 1,845 1,256 588 1,513 1,009 504

1966 _____ 2 4 9 188 6 1 2 ,0 4 4 1,399 | 644 1,682 1,1 3 1 551

1967 _____ 2 3 8 172 6 6 2 ,2 2 6 1,520 705 1,832 1,230 602

1 96 8 _____ 2 4 2 185 5 7 2 ,4 0 6 1,650 | 756 1,979 1,336 643

1 96 9 _____ 2 8 0 208 7 2 2 , 6 19 1,798 | 820 2 , 155 1,458 697

1 9 7 0 _____ 2 2 7 174 5 2 2 ,7 7 3 1,908 | 865 2 ,2 7 0 1,540 730

197 1 _____ 1 8 0 142 3 8 2 ,8 7 3 1,979 | 894 2 ,3 2 9 1,582 747

1 97 2 _____ 2 0 6 167 3 8 2 ,9 9 3 2 ,0 7 1 | 92 1 2 ,4 0 6 1,643 762

1 97 3 _____ 2 2 8 184 4 3 3 ,1 2 6 2 ,1 7 3 | 953 2 ,4 9 7 1 , 7 15 782

1 9 7 4 _____ 3 4 2

________

2 6 4 7 7 3 ,3 6 7

________

2 ,3 5 0 |

________________L _

1 ,017 2 ,6 9 3 1,860 833

Sector 25. Paperboard containers and boxes: Constant dollars

(Millions of 1972 dollars)

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s

__________________

N et s to c k s

____________________________________________________________

1 1

I T o t a l I E q u i p m e n t 

_______________ 1________________1_____________________

S t r u c t u r e s

— r

T o ta l

I

E q u i p m e n t I S t r u c t u r e s

____________________I_____________________

r

T o ta l E q u i p m e n t S t r u c t u r e s

1947 _____

I

$ 173 | $ 1 16 $56 $859 I

I

$425 $433 $702 I $365 $336

1 9 4 8 _____ 159 I 112 4 6 992 I 525 | 467 828 I 458 369

1 94 9 _____ 139 | 9 7 4 1 1,106 | 611 i 495 932 | 534 397

1950 _____ 105 I 7 9 2 6 1,186 | 677 I 509 998 I 588 409

195 1 _____ 16 1 I 109 5 1 1,320 | 772 | 547 1,116 | 669 447

1 95 2 _____ 9 1 | 7 5 15 1,383 | 832 I 550 1,159 | 7 1 1 448

1 95 3 _____ 124 | 9 4 3 0 1,476 | 907 I 568 1,230 | 767 463

1 95 4 --------- 1 54 1 109 4 4 1,595 | 995 | 600 1,326 | 833 492

1 95 5 _____ 1 64 I 1 14 4 9 1,721 | 1,084 637 1,425 I 900 525

1956 _____ 2 03 I 149 5 4 1,882 I 1,203 I 679 1,559 I 995 563

1 9 5 7 _____ 18 1 | 133 4 7 2 ,0 1 7 | 1,303 7 14 1,663 | 1,069 593

1 95 8 _____ 2 11 | 126 8 5 2 ,1 7 8 | 1,390 | 787 1 ,789 | 1, 128 660

1 95 9 _____ 178 | 117 6 1 2 ,3 0 1 | 1,464 | 836 1 ,875 | 1, 173 702

1960 _____ 1 6 2 | 119 4 2 2 ,4 0 1 | 1,534 867 1,938 | 1 ,2 13 724

196 1 _____ 1 6 8 I 1 13 5 4 2 ,5 0 0 | 1,591 I 909 1,999 | 1,242 756

1 96 2 --------- 2 35 I 162 7 3 2 ,6 5 8 | 1,689 | 969 2 ,1 1 9 I 1,313 806

1 96 3 _____ 2 00 I 157 4 2 2 ,7 7 2 I 1,774 997 2 ,1 9 7 | 1,373 823

1964 _____ 2 24 | 164 5 9 2 ,9 0 3 | 1,860 | 1,042 2 ,2 9 3 | 1,436 856

1 9 6 5 _____ 2 46 | 175 7 0 3 ,0 4 7 | 1,950 | 1,097 2 ,4 0 3 I 1,504 899

1966 _____ 3 31 I 241 9 0 3 ,2 7 1 | 2 ,1 0 0 I 1,17 1 2 ,5 9 3 I 1,632 960

1967 --------- 3 04 | 209 9 4 3 ,4 6 1 | 2 ,2 1 3 | 1,248 2 ,7 4 7 | 1,723 1,023

1968 --------- 2 95 | 217 7 7 3 ,6 3 5 I 2 ,3 2 8 | 1,307 2 ,8 8 4 | 1,817 1,067

1 96 9 --------- 3 24 | 233 9 0 3 ,8 3 1 | 2 ,4 5 4 | 1,377 3 ,0 4 2 | 1,920 1, 122

1970 _____ 2 47 | 187 6 0 3 ,9 4 5 | 2 ,5 3 0 1,414 3 ,1 1 6 | 1,971 1, 144

197 1 _____ 1 85 | 145 4 0 3 ,9 8 9 | 2 ,5 5 7 | 1,431 3 ,1 2 0 | 1,974 1, 146

1972 _____ 2 06 | 167 3 8 4 ,0 4 8 | 2 ,6 0 3 | 1,444 3 ,1 3 7 | 1,994 1 , 1 4 3

1 97 3 _____ 2 19 | 179 4 0 4 ,1 1 3 | 2 ,6 5 6 I 1,457 3 ,1 6 2 | 2 ,0 2 1 1,14 1

1 97 4 _____ 2 87 I 226 6 0 4 ,2 3 9 I 2 ,7 5 0 I 1,488 3 ,2 4 7 I 2 ,0 8 9 1, 157

___________

Digitized for FRASER 

66

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 26. Printing and publishing: Historical dollars

(Millions of dollars)

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l

I

E q u ip m e n t | S t r u c t u r e s T o ta l E qu i p m e n t S t r u c t u r e s

1 94 7 _____ $ 279 $148 $130 $ 2 ,9 0 5 I

h

$ 1 ,7 3 0 I $ 1 ,1 7 4 $ 2 ,2 3 4 $ 1 ,3 1 7 $916

1 94 8 _____ 2 7 9 182 9 7 3 ,0 3 6 | 1,797 I 1,238 2 ,3 6 9 1,391 977

1 94 9 _____ 2 6 4 197 6 6 3 ,1 5 6 | 1,886 | 1,270 2 ,4 8 5 1,478 1,006

1 9 5 0 _____ 2 7 4 195 7 9 3,2 9 1 | 1,976 1,315 2 ,6 0 8 1,559 1,049

1 9 5 1 _____ 3 4 7 167 179 3,5 0 1 | 2 ,0 4 0 | 1,460 2 ,7 9 8 1,606 1,192

1 95 2 _____ 3 3 7 129 208 3,7 0 1 | 2 ,0 6 8 | 1,633 2 ,9 7 2 1,611 1,361

1 953 _____ 2 4 8 156 9 1 3 ,8 1 2 | 2 , 121 1,690 3 ,050 1,637 1 , 4 12

1954 _____ 3 2 6 179 147 3 ,9 9 7 | 2 ,1 9 4 | 1,803 3 ,2 0 0 1,681 1,518

1 95 5 _____ 3 6 9 198 170 4 ,2 2 0 | 2 ,2 8 0 1,940 3 ,3 8 4 1,737 1,646

1956 _____ 4 9 8 229 269 4 ,5 6 5 I 2 ,3 8 9 | 2 ,1 7 6 3 ,6 8 9 1 , 8 17 1,872

1957 --------- 4 1 5 254 160 4 ,8 1 8 | 2 ,5 1 4 I 2 ,3 0 4 3 ,900 1,915 1 , 9 8 4

1 95 8 _____ 4 2 3 278 145 5 ,0 7 4 | 2 ,6 5 5 | 2 ,4 1 8 4 ,1 1 2 2 ,0 3 2 2 ,0 7 9

1 95 9 _____ 3 8 8 27 1 116 5 ,2 8 7 | 2 ,7 8 3 | 2 ,5 0 4 4 ,2 7 7 2 ,1 3 5 2 ,1 4 2

1960 _____ 4 5 8 302 155 5 ,5 6 4 | 2 ,9 3 4 2 ,6 2 9 4 ,5 0 3 2 ,2 6 2 2 ,2 4 0

196 1 _____ 4 7 6 298 178 5 ,8 5 2 I 3 ,0 7 5 | 2 ,7 7 6 4 ,7 3 5 2 ,3 7 7 2 ,3 5 7

1 96 2 _____ 5 3 5 321 214 6 ,1 9 1 | 3 ,2 3 2 | 2 ,9 5 9 5 , 0 13 2 ,5 0 6 2 ,5 0 6

1 96 3 _____ 5 7 0 353 217 6 ,5 5 6 I 3 , 4 13 3 ,1 4 3 5 ,3 1 2 2 ,6 5 9 2 ,6 5 2

1 96 4 _____ 6 19 344 275 6 ,9 6 1 | 3 ,5 7 7 | 3 ,3 8 4 5 ,6 4 4 2 ,7 9 3 2 ,8 5 1

1 96 5 _____ 8 5 7 4 17 440 7 ,5 9 7 | 3 ,8 0 9 3 ,7 8 7 6 ,1 9 9 2 ,9 9 0 3 ,2 0 8

1966 _____ 9 3 5 537 397 8 ,2 9 9 | 4 ,1 5 4 | 4 , 144 6 ,8 1 1 3 ,2 9 6 3 ,5 1 4

1 9 6 7 _____ 9 6 3 578 384 9 ,0 1 9 | 4 ,5 3 4 4 ,4 8 4 7 ,4 2 6 3 ,6 2 8 3 ,7 9 8

1968 _____ 8 9 1 569 321 9 ,6 5 4 | 4 ,8 9 7 4 ,7 5 7 7 ,9 4 4 3 ,9 3 3 4,0 1 1

1 969 _____ 1 ,043 627 415 1 0,428 | 5 ,3 0 9 | 5 ,1 1 8 8 ,5 8 6 4 ,2 7 6 4 ,3 0 9

1970 _____ 991 6 3 6 354 1 1,132 I 5 , 7 18 5 ,4 1 3 9, 143 4 ,6 0 5 4 ,5 3 7

197 1 _____ 1 ,035 673 36 1 11,857 I 6 ,1 4 9 I 5 ,7 0 7 9 , 7 11 4 ,9 4 7 4 ,7 6 4

1 97 2 _____ 1 ,047 80 1 246 12,568 I 6 ,6 8 9 | 5 ,8 7 8 10,255 5 ,3 9 0 4 ,8 6 5

1 9 7 3 _____ 1 , 084 843 241 13,287 | 7 ,2 4 9 | 6 ,0 3 7 10,798 5 ,8 4 4 4 ,9 5 4

1 97 4 _____ 1,141 874 267 1 4,033 I 7 ,8 1 8 |

___________L

6 ,2 1 5 11,358 6 ,2 9 6 5 ,0 6 1

Sector 26. Printing and publishing: Constant dollars

(Millions of 1972 dollars)

Y ea r

G ro ss in v e s tm e n t

----------------------------------r

G ro ss s to c k s N et s to c k s

I

T o ta l | E qu ip m e n t S t r u c t u r e s

r -

T o ta l Equi pment S t r u c t u r e s |

I

r~

T o ta l E q u i p m e n t S t r u c t u r e s

1947 _____ $ 627 | $337 $290 $ 9 ,4 2 8 I $ 4 ,9 4 6

I

$ 4 ,4 8 2 | $ 6 ,9 0 4 | $ 3 ,6 4 6 $ 3 ,2 5 7

1948 . . . . 572 | 378 193 9 ,4 6 5 | 4 ,9 5 7 4 ,5 0 8 | 6 ,9 9 5 | 3 ,7 0 0 3 ,2 9 5

1 9 4 9 _____ 5 32 | 395 137 9 ,4 8 4 | 5 ,0 0 5 4 ,4 7 8 | 7 ,0 4 9 | 3 ,7 7 1 3 ,2 7 7

1950 _____ 5 47 | 382 164 9 ,5 3 5 | 5 ,0 5 8 4 ,4 7 7 7 ,1 1 8 | 3 ,8 2 8 3 ,2 8 9

1 95 1 _____ 6 25 | 293 332 9 ,6 8 0 j 5 ,0 3 5 4 ,6 4 5 | 7 ,2 6 3 | 3 ,7 9 2 3 ,4 7 1

1 95 2 --------- 5 97 | 226 37 1 9,8 0 7 | 4 ,9 5 4 4 ,8 5 3 | 7 ,3 7 8 | 3 ,6 8 6 3,691

1 95 3 _____ 4 33 | 269 163 9 ,7 7 6 | 4 ,9 1 9 4 ,8 5 7 | 7 ,3 2 5 I 3,621 3 ,7 0 4

1 95 4 _____ 5 66 | 299 267 9,881 | 4 , 9 14 4 ,9 6 6 | 7 ,4 0 2 | 3 ,5 8 0 3 , 8 2 1

1 95 5 _____ 6 35 I 324 310 10,052 I 4 ,9 3 0 5 ,1 2 2 I 7 ,5 4 4 | 3 ,5 6 1 3 ,9 8 2

1956 _____ 7 96 | 346 449 10,376 | 4 ,9 5 6 5 ,4 2 0 I 7 ,8 4 1 | 3 ,5 6 0 4,2 8 1

1957 _____ 617 | 362 255 10,513 I 4 ,9 8 5 5 ,5 2 8 I 7 ,9 5 5 I 3 ,5 7 2 4 ,3 8 3

1 95 8 _____ 6 30 | 392 237 10,658 | 5 ,0 3 4 5 ,6 2 4 | 8 ,0 7 9 | 3 , 6 12 4 ,4 6 6

1 9 5 9 _____ 565 | 37 1 193 10,735 | 5 ,0 5 3 5 ,6 8 1 | 8 ,1 3 5 | 3 ,6 3 2 4 ,5 0 2

1960 _____ 6 67 | 408 259 10,911 | 5 ,1 0 4 5 ,8 0 7 8 ,2 9 0 | 3 ,6 9 0 4 ,6 0 0

1 9 6 1 . . . . 694 I 398 296 11,113 I 5 ,1 4 2 5 ,9 7 0 I 8 ,4 6 8 I 3,7 3 7 4 ,7 3 0

1 96 2 --------- 7 72 I 422 350 11,393 5 ,2 0 3 6 ,1 8 9 | 8 ,7 1 8 | 3 ,8 0 8 4 , 9 10

1 9 6 3 _____ 8 08 I 458 350 11,708 | 5 ,2 9 9 6 ,4 0 8 | 8 ,9 9 8 I 3 , 9 15 5 ,0 8 2

1964 _____ 8 77 | 44 1 436 12,092 | 5 ,3 7 9 6 ,7 1 3 | 9 ,3 3 8 | 4 ,0 0 3 5 ,3 3 4

1 96 5 --------- 1 ,205 | 528 677 12,808 | 5 ,551 7 ,2 5 6 | 9 ,9 9 5 | 4 ,1 7 7 5 , 8 17

1 9 6 6 . . . . 1,256 I 672 584 13,573 | 5 ,8 7 1 7 ,7 0 1 | 10,687 | 4 ,4 9 0 6 ,1 9 6

1967 _____ 1 ,238 I 688 549 14,320 I 6 ,2 1 3 8 ,1 0 7 I 11,338 | 4 ,8 0 8 6 ,5 2 9

1968 _____ 1 ,089 | 654 434 14,913 | 6 ,521 8 ,3 9 2 I 11,817 | 5 ,0 8 0 6 ,7 3 7

1 9 6 9 _____ 1 ,217 | 697 519 15,628 | 6 ,8 7 3 8 ,7 5 4 | 1 2,398 | 5 ,3 7 9 7 , 0 19

1970 _____ 1 ,080 | 676 403 16,192 | 7 ,1 9 9 8 ,9 9 3 | 12,811 | 5 ,6 3 7 7, 173

197 1 _____ 1 ,068 I 687 38 1 16,723 | 7 ,5 2 4 9 ,1 9 8 | 13,181 I 5 ,8 8 4 7 ,2 9 6

1 97 2 _____ 1 ,047 | 80 1 246 17,207 | 7 ,9 4 8 9 ,2 5 8 1 3,499 | 6 ,2 2 3 7 ,2 7 5

1973 --------- 1 ,042 I 818 223 17,656 I 8 ,3 7 1 9 ,2 8 5 | 13,777 | 6 ,5 5 3 7 ,2 2 4

1 97 4 _____ 9 76 | 767 209 18,010 | 8 ,7 2 3 9 ,2 8 7 | 1 3 , 9 5 6 I 

I

6 ,8 0 4 7,1 5 1

Digitized for FRASER 

6 7

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
(Millions of dollars)

Sector 27. Chemicals and allied products: Historical dollars

G ro ss in v e s tm e n t

—

G ro ss s to c k s N ot s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s

r

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1947 . . . . $538 $357 $181 $ 1 ,9 9 2 | $ 1 ,2 8 4 $708 $ 1 ,8 1 5 $ 1 ,1 5 4 $66 1

1948 _____ 3 6 5 269 9 6 2 ,3 3 6 | 1,535 80 1 2 ,1 1 9 1,373 745

1 94 9 _____ 3 8 9 290 9 9 2 ,7 0 0 | 1,803 896 2 ,4 3 5 1,603 832

1950 _____ 3 8 0 294 8 5 3 ,0 4 9 | 2 ,0 6 9 979 2 ,7 2 8 1,825 903

195 1 _____ 6 2 1 472 149 3 ,6 3 2 | 2 ,5 0 8 1,124 3 ,2 4 7 2 ,211 1,036

1 95 2 _____ 7 5 9 563 196 4 ,3 4 6 I 3 ,0 2 9 1,316 3 ,8 8 3 2 ,6 7 0 1 , 2 13

1 95 3 --------- 7 6 0 587 173 5 ,0 5 0 | 3 ,5 6 5 1,484 4 , 4 9 4 3 ,1 3 0 1,364

1 95 4 _____ 6 5 0 482 168 5 ,6 3 2 | 3 ,9 8 4 1,647 4 ,9 6 9 3 ,4 6 2 1,506

1 9 5 5 _____ 5 3 8 389 149 6 ,0 8 8 | 4 ,2 9 7 1,791 5 ,3 0 4 3 ,6 7 7 1,626

1956 _____ 6 8 2 5 12 169 6 ,6 7 2 | 4 , 7 17 1,954 5 ,7 5 5 3,9 9 1 1,764

1957 . . . . 846 666 180 7 ,3 9 9 | 5 ,2 7 2 2 ,1 2 7 6 ,3 4 0 4 ,4 3 1 1,908

1958 --------- 76 1 5 8 1 180 8 ,0 2 0 | 5 ,7 2 0 2 ,2 9 9 6 ,8 0 3 4 ,7 5 5 2 ,0 4 7

1 95 9 _____ 5 8 7 457 129 8 ,4 3 9 | 6 ,0 2 0 2 , 4 18 7 ,0 5 7 4 ,9 2 5 2 , 131

1960 --------- 7 8 0 632 148 9 ,0 2 5 I 6 ,4 6 9 2 ,5 5 5 7 ,4 7 2 5 ,2 4 3 2 ,2 2 9

196 1 --------- 927 7 5 1 176 9,7 2 6 | 7 ,0 0 8 2 , 7 17 7 , 9 9 8 5 ,6 4 9 2 ,3 4 9

1 96 2 _____ 7 9 7 670 127 1 0,263 I 7 ,4 3 6 2 ,8 2 7 8 ,3 5 6 5,9 4 1 2 , 4 15

1 9 6 3 . . . . 9 18 7 15 202 10,887 I 7 ,8 7 8 3 ,0 0 9 8 ,3 0 0 6 ,2 4 9 2 ,5 5 1

1964 _____ 1 , 140 9 18 222 1 1,698 | 8 ,4 9 0 3 ,2 0 7 9,4 3 1 6 ,7 3 0 2 ,7 0 0

1 9 6 5 . . . . 1,462 1,176 285 1 2,795 I 9 ,330 3 ,4 6 4 10,344 7 ,4 3 8 2 ,9 0 6

1966 _____ 1 ,725 1,342 382 14,117 | 10,303 3 ,8 1 3 11,476 8 ,2 7 4 3 ,2 0 1

1 9 6 7 --------- 1 ,753 1,398 354 15,430 I 11,301 4, 129 12,587 9, 126 3 ,4 6 0

1968 _____ 1 ,691 1,261 429 16,644 | 12,131 4 ,5 1 3 13,584 9 ,7 9 9 3 ,7 8 4

1 9 6 9 _____ 1 ,625 1,227 398 17,757 | 12,897 4 ,8 5 9 14,464 10,395 4 ,0 6 8

1970 . . . . 1,712 1,400 312 18,917 | 13,805 5 ,1 1 2 15,377 11,119 4 ,2 5 7

197 1 _____ 1 ,572 1,273 299 19,896 | 14,551 5 ,3 4 5 16,090 1 1 , 6 6 5 4 ,4 2 5

1 9 7 2 _____ 1 ,453 1,220 233 2 0 ,7 11 | 15,206 5 ,5 0 4 16,627 12,108 4 ,5 1 9

1 9 7 3 _____ 1 ,776 1,475 30 1 2 1 ,8 0 0 | 16,076 5 ,7 2 3 17,428 12,755 4 ,6 7 3

1974 _____ 2 ,9 0 0 2 ,4 3 8 462 2 3 ,9 6 2 | 17,866 6 ,0 9 6 19,290

_

1 4,309 4 ,9 8 1

Sector 27. Chemicals and allied products: Constant dollars

(Millions of 1972 dollars)

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l

--------------------------------r

E q u ip m e n t 1

1 94 7 _____ $ 1 ,1 61 $759 $402 $ 5 ,6 4 0 $ 3 ,3 2 8 $2,3 11 $ 5 ,0 4 6 $ 2 ,9 4 6 |

1 94 8 _____ 7 19 528 191 6 ,2 8 9 3 ,8 0 1 2 ,4 8 8 5 ,5 8 7 3 ,3 3 8 j

1 94 9 _____ 7 5 9 557 202 6 ,9 6 6 4 ,2 9 2 2 ,6 7 4 6, 140 3 ,7 3 4

1950 _____ 7 3 3 555 178 7 ,6 0 2 4 ,7 6 5 2 ,8 3 6 6 ,6 3 6 4 ,1 0 2 j

195 1 _____ 1 ,062 786 276 8 ,5 4 8 5 ,4 5 3 3 ,0 9 5 7 ,4 2 8 4 ,6 7 2

1 95 2 _____ 1 ,288 938 349 9 ,7 0 0 6 ,2 7 3 3 ,4 2 6 8 ,4 0 5 5 ,3 6 0 j

1 9 5 3 _____ 1 ,254 946 308 10,792 7 ,0 7 7 3 , 7 15 9,3 0 1 6 ,0 1 6 j

1 9 5 4 _____ 1 ,070 764 305 11,671 7 ,6 7 3 3 ,9 9 8 9 ,9 6 4 6 ,4 4 9

1955 _____ 8 7 8 607 270 12,325 8 ,0 8 1 4 ,2 4 3 10,387 6 ,6 8 5 i

1956 _____ 1 ,003 721 282 13,068 8 ,5 7 2 4 ,4 9 6 1 0,889 6 ,9 9 7 |

1957 _____ 1 ,173 887 286 13,941 9,191 4 ,7 5 0 11,513 7 ,4 3 5 I

1 95 8 _____ 1 ,059 764 295 14,658 9 ,648 5 ,0 0 9 11,971 7 ,7 0 6 |

1 9 5 9 _____ 8 0 9 594 215 15,076 9 ,8 9 3 5, 183 12,129 7 ,7 6 9 |

1960 _____ 1 ,046 800 246 15,683 10,301 5 ,3 8 1 12,482 8 ,0 0 3 |

196 1 _____ 1 ,256 963 293 16,446 10,827 5 , 6 19 13,000 8 ,3 6 7 |

1 96 2 _____ 1 ,066 858 208 16,968 11,206 5 ,7 6 2 13,283 8 ,5 9 1

1 9 6 3 _____ 1 ,231 905 326 17,604 1 1 , 5 8 9 6 ,0 1 5 13,692 8 ,8 3 2 j

1964 _____ 1 ,514 1,16 1 352 18,473 12,189 6 ,2 8 4 14,347 9 ,3 0 3

1 9 6 5 _____ 1 ,910 1,470 439 19,690 13,060 6 ,6 3 0 15,356 10,053 |

1966 _____ 2 ,1 9 9 1,637 562 2 1 ,1 5 0 14,062 7 ,0 8 7 16,609 10,936 |

1967 _____ 2 ,1 6 4 1,664 499 2 2 ,5 31 15,061 7 ,4 6 9 17,777 11,809

1968 _____ 2 ,0 3 0 1,450 580 2 3 ,7 3 7 15,817 7 ,9 1 9 18,761 12,430 |

1 9 6 9 _____ 1 ,871 1,379 4 9 1 2 4 ,7 4 6 16,477 8 ,2 6 8 19,535 12,942

1 9 7 0 _____ 1 ,860 1,506 354 2 5 ,7 0 6 17,239 8 ,4 6 7 2 0 ,2 4 9

I

13,541 |

197 1 _____ 1 ,627 1,312 314 2 6 ,3 9 2 17,778 8 , 6 14 2 0 ,6 76 1 3,902 I

1 97 2 _____ 1 ,453 1,220 233 2 6 ,8 6 0 18,193 8 ,6 6 7 2 0 ,8 7 6 14,127 |

1 97 3 _____ 1 ,711 1,432 279 2 7 ,5 3 9 18,785 8 ,7 5 3 2 1 ,2 8 4 14,520 |

1 97 4 _____

_______

2 ,5 1 9 2 , 157

_________

3 6 1 2 8 ,9 7 6 2 0 ,0 6 5 8 ,9 1 1 2 2 ,4 4 6 15,592 |

____________ L

S t r u c t u r e s

$ 2 ,0 9 9

2 ,2 4 9

2 ,4 0 5

2 ,5 3 3

2 ,7 5 5

3 ,0 4 4

3 ,2 8 4

3 ,5 1 4

3 , 7 0 1 

3 ,8 9 2 

4 ,0 7 8 

4 ,2 6 4 

4 ,3 6 0

4 ,4 7 8

4 ,6 3 3

4 ,6 9 2

4 ,8 6 0

5 ,0 4 3

5 ,3 0 2

5 ,6 7 3

5 ,9 6 7

6 ,3 3 0

6 ,5 9 3

6 ,7 0 7

6 ,7 7 3

6 ,7 4 9

6 ,7 6 3

6 ,8 5 3

Digitized for FRASER 

68

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
sector 28. Plastics and synthetic materials: Historical dollars

(Millions of dollars)

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k :

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E qu i p m e n t S t r u c t u r e s

1 94 7 _____ § 139 $95 $43 $589 $423 $ 166 $532 $375 $156

1 9 4 8 _____ 7 6 5 9 17 658 475 183 588 417 171

1 9 4 9 _____ 9 0 7 0 19 739 538 20 1 655 467 187

1950 . . . . 9 5 7 3 2 1 824 60 1 222 723 517 205

1 951 _____ 1 5 5 124 3 0 966 7 14 252 847 6 15 232

1 95 2 _____ 1 6 6 127 3 9 1,118 827 290 978 7 10 267

1 9 5 3 . . . . 173 138 3 5 1,272 948 324 1,109 812 297

1 95 4 --------- 1 9 4 160 3 3 1,444 1,088 356 1,255 930 325

1 95 5 _____ 1 5 8 108 4 9 1,577 1, 172 404 1,358 990 367

1956 _____ 2 8 1 224 5 7 1,829 1,368 460 1,577 1, 159 4 17

1957 . . . . 342 27 1 7 0 2 ,1 3 5 1,607 528 1,848 1,368 479

1958 . . . . 279 222 5 7 2 ,3 7 4 1,790 583 2 ,0 4 5 1,518 526

1 95 9 _____ 1 8 3 153 3 0 2,5 1 1 1 , 9 0 0 6 1 1 2 ,1 3 5 1,590 545

1960 . . . . 292 226 6 5 2 ,7 5 0 2 ,0 7 6 674 2 ,3 2 5 1,726 598

196 1 _____ 3 5 3 264 8 9 3 ,0 4 3 2 ,2 8 3 760 2 ,5 6 4 1,890 674

1 962 _____ 3 2 6 274 5 2 3 ,3 0 0 2 ,4 9 2 807 2 ,7 6 2 2 ,0 5 2 7 10

1 9 6 3 _____ 3 6 9 311 5 7 3 ,5 9 0 2 ,7 3 0 860 2 ,9 9 0 2 ,2 4 0 750

1 96 4 _____ 4 6 5 360 105 3 ,9 6 7 3 ,0 0 7 959 3 ,3 0 0 2 ,4 6 4 836

1 9 6 5 . . . . 676 562 1 14 4 ,5 4 3 3 ,4 7 6 1,067 3 ,8 0 5 2 ,8 7 4 930

1 9 6 6 . . . . 795 659 135 5 ,2 2 5 4 ,0 3 0 1,195 4 ,4 0 6 3 ,3 6 4 1,042

1967 _____ 7 18 593 125 5 , 8 18 4 ,5 0 6 1,311 4 ,9 0 8 3 ,7 6 6 1,141

1 9 6 8 . . . . 627 508 1 18 6 ,3 0 4 4 ,8 8 4 1 , 4 19 5 ,2 9 4 4 ,0 6 3 1,230

1 96 9 _____ 6 7 8 590 8 8 6 ,8 2 7 5,3 3 1 1,496 5 ,7 0 8 4 ,4 2 0 1,287

1970 . . . . 681 570 1 1 1 7 ,3 3 5 5 ,7 4 1 1,594 6 ,0 9 7 4 ,7 3 3 1,364

197 1 _____ 7 4 0 636 104 7 ,8 8 3 6 ,2 0 0 1,682 6 ,5 1 8 5 ,0 8 7 1,430

1 9 7 2 . . . . 694 600 9 4 8 ,3 6 4 6 ,6 0 4 1,760 6 ,8 6 4 5 ,3 7 9 1,485

1 97 3 _____ 8 3 0 7 1 1 119 8 ,9 6 0 7 ,1 0 0 1,860 7 ,3 1 6 5 ,7 5 4 1,561

1974 --------- 1 ,277 1,078 198 9 ,9 7 8 7 ,9 4 1 2 ,0 3 7 8 ,1 8 1 6 ,4 6 7 1 ,7 14

Sector 28. Plastics and synthetic materials: Constant dollars

(Millions of 1972 dollars)

Y ea r

G ro s s in v e s tm e n t

—

G ro ss s to c k s N et s to c k s

T o ta l E qu i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E qu i p m e n t S t r u c t u r e s

1947 _____ $ 323 $227 $95 $ 1 ,7 5 3 $ 1 ,2 1 6 $537 $ 1 ,5 5 3 $ 1 ,0 61 $492

1948 _____ 1 6 2 127 3 4 1,891 1,322 568 1,654 1,137 516

1 94 9 _____ 1 8 9 148 4 0 2 ,0 5 1 1,446 604 1,774 1,228 546

1950 --------- 1 9 4 149 4 4 2,2 1 1 1,564 646 1,890 1,310 579

195 1 --------- 2 8 2 225 5 6 2 ,4 5 2 1,753 699 2 ,0 8 5 1,461 624

1 95 2 _____ 3 0 1 230 7 0 2 ,7 0 5 1 , 9 3 9 765 2 ,2 8 7 1,606 680

1 9 5 3 . . . . 308 246 6 2 2 ,9 5 6 2,133- 823 2 ,4 8 4 1,757 727

1 954 --------- 34 1 281 6 0 3 ,2 3 2 2 ,3 5 2 879 2 ,7 0 2 1 , 9 3 2 770

1955 _____ 2 7 0 180 8 9 3 ,4 2 6 2 ,4 6 2 963 2 ,8 3 6 1,995 84 1

1956 _____ 4 4 0 344 9 5 3 ,7 7 9 2 ,7 2 6 1,052 3, 128 2 ,2 1 2 9 16

1957 _____ 5 0 5 393 1 1 1 4, 185 3 ,0 2 9 1,156 3 ,4 6 9 2 ,4 6 5 1,004

1958 _____ 4 0 6 3 12 9 3 4 ,4 8 1 3 ,2 4 0 1,241 3 ,6 9 5 2 ,6 2 4 1,071

1959 _____ 2 6 3 212 5 0 4,622 3 ,3 4 0 1,282 3 ,7 6 3 2 ,6 7 0 1,093

1960 --------- 4 1 5 305 109 4 ,9 0 3 3 ,5 2 2 1,380 3 ,9 7 0 2 ,7 9 8 1,172

196 1 _____ 5 0 5 357 148 5 ,2 6 0 3 ,7 4 4 1,515 4 ,2 5 3 2 ,9 6 6 1,286

1962 --------- 4 5 5 370 8 5 5 ,5 5 4 3 ,9 6 8 1,585 4 ,4 6 8 3 ,1 3 3 1,334

1 9 6 3 _____ 5 0 8 4 15 9 2 5 ,8 8 5 4 ,2 2 4 1,661 4 ,7 2 0 3 ,3 3 2 1,388

1 96 4 _____ 64 1 4 7 4 166 6 ,3 3 6 4 ,5 2 8 1,808 5 ,0 8 8 3 ,5 7 6 1,511

1965 _____ 906 7 2 9 176 7 ,0 3 7 5 ,0 7 4 1 , 9 6 3 5 ,7 0 2 4 ,0 6 0 1,642

1966 . . . . 1,033 834 199 7 ,8 4 9 5 , 7 10 2 ,1 3 8 6 ,4 1 9 4 ,6 2 7 1,792

1 9 6 7 _____ 900 7 2 3 176 8 ,5 1 1 6 ,2 2 3 2 ,2 8 7 6 ,9 7 5 5 ,0 6 1 1,914

1968. .. . 751 591 160 9 ,007 6 ,5 8 9 2 , 4 18 7 ,3 5 6 5 ,3 3 9 2 , 0 17

1969 _____ 7 7 2 663 109 9 ,507 7 ,0 1 2 2 ,4 9 5 7 ,7 3 3 5 ,6 6 7 2 ,0 6 5

1970 _____ 7 3 9 6 12 126 9 ,9 5 3 7 ,3 6 8 2 ,5 8 5 8 ,0 4 8 5,9 2 1 2 , 126

197 1 _____ 7 6 5 656 109 10,404 7 ,7 4 8 2 ,6 5 6 8 ,3 6 1 6 ,1 9 4 2 , 167

1972 --------- 6 9 4 600 9 4 10,762 8 ,0 5 3 2 ,7 0 8 8 ,5 7 5 6 ,3 8 4 2 ,1 9 0

1973 _____ 8 0 1 690 1 10 11,203 8 ,4 2 9 2 ,7 7 4 8 ,8 6 6 6 ,6 3 9 2 ,2 2 6

1974 _____ 1 ,093 938 155 11,911

_______

9 ,0 2 9

_________

2 ,8 8 1 9 , 4 18

_______

7 ,1 1 4 2 ,3 0 3

6 9

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 29. Drugs, cleaning and toilet preparations: Historical dollars

(Millions of dollars)

G ro ss in v e s tm e n t G ro s s s to c k s N et s to c k s

T o ta l

------------------------------------ 1

E q u i p m e n t I S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E qu i p m e n t S t r u c t u r e s

1 9 4 7 _____ $ 140 $73 I $66 $548 $296 $251 $496 $263 $233

1948 . . . . 9 8 54 I 4 4 638 344 294 576 303 273

1 94 9 _____ 1 0 0 56 I 4 4 730 393 337 655 342 313

1950 _____ 1 18 76 | 4 1 837 460 376 747 399 348

195 1 _____ 2 1 8 1 3 1 I 8 6 1 , 0 4 2 580 46 1 935 506 429

1 95 2 _____ 1 5 0 98 | 5 1 1,176 665 511 1,048 575 473

1 9 5 3 _____ 1 3 5 81 I 5 4 1,293 729 563 1,1 4 1 621 519

1 95 4 _____ 1 0 5 70 I 3 5 1,375 779 596 1,196 651 544

1 95 5 _____ 9 5 66 | 2 8 1,444 821 622 1,236 673 563 _

1956 _____ 1 3 7 93 I 4 3 1,549 886 663 1,312 717 595

1957 . . . . 157 106 5 0 1,669 958 7 1 1 1,401 768 632

1 9 5 8 _____ 1 5 5 99 I 5 6 1,782 1,018 764 1,482 807 674

1 95 9 _____ 1 6 4 95 | 6 9 1,897 1, 068 829 1,565 837 727

1960 _____ 1 6 7 9 4 7 2 2 ,0 0 9 1,111 898 1,644 861 782

196 1 _____ 1 7 3 105 1 6 7 2 , 120 1, 160 960 1,723 893 830

1 96 2 _____ 178 1 20 I 5 8 2 ,231 1,219 1,012 1,802 935 866

1 96 3 --------- 2 0 2 123 I 7 8 2 ,3 6 0 1,276 1,084 1,898 977 92 1

1 96 4 --------- 1 9 1 124 | 6 6 2 ,4 7 1 1,329 1, 142 1,978 1,016 96 1

1 9 6 5 . . . . 243 142 10 1 2 ,6 2 8 1,395 1,233 2 ,1 0 3 1,069 1,034

1966 _____ 2 7 0 172 I 9 7 2 ,8 0 6 1,487 1,318 2 ,2 4 9 1, 148 1,100

1967 _____ 351 2 0 7 143 3 ,0 5 8 1 , 6 11 1,447 2 ,4 6 8 1,258 1,209

1 96 8 _____ 3 6 3 212 15 1 3 ,3 1 8 1,736 1,582 2 ,6 9 2 1,368 1,323

1969 _____ 4 2 9 239 | 189 3 ,6 3 8 1,885 1,752 2 ,9 7 2 1,499 1,473

1970 _____ 5 6 0 332 227 4 ,0 8 3 2, 125 1 , 9 5 8 3 ,3 7 3 1 , 7 16 1,656

197 1 _____ 5 17 320 I 196 4 ,4 7 9 2 ,3 4 8 2 ,1 3 0 3 , 7 16 1,911 1,804

1 97 2 _____ 4 8 2 339 I 143 4 ,8 3 2 2 ,5 8 5 2 ,2 4 7 4 ,0 0 9 2 ,1 1 3 1,896

1 9 7 3 . . . . 486 316 | 170 5, 182 2 ,7 9 4 2 ,3 8 8 4 ,2 9 1 2 ,2 8 0 2 ,0 1 1

1 974 _____ 6 3 0 394 I 235 5 ,6 6 5 3 ,0 7 3 2 ,5 9 1 4 ,7 0 0 2,5 1 1 2 , 188

Sector 29. Drugs, cleaning and toilet preparations: Constant dollars

(Millions of 1972 dollars)

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s N et s t o c k s

1

T o t a l | 

________________ 1--------

E qui pment S t r u c t u r e s T o ta l E qu i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1947 _____ $ 3 10 | $ 163 $ 147 $ 1 ,5 8 6 $775 $ 8 1 1 $ 1 ,4 0 6 $677 $729

1 94 8 _____ 2 0 1 | 1 12 8 8 1,762 869 892 1,553 751 802

1 94 9 _____ 2 0 2 | 

j

1 12 9 0 1,935 959 975 1,694 8 18 875

1950 _____ 2 33 | 147 8 5 2 ,1 3 4 1,081 1,053 1,856 9 13 942

195 1 _____ 3 90 | 229 160 2 ,4 8 5 1,279 1,205 2 , 166 1,083 1,082

1 952 _____ 26 1 I 169 9 2 2 ,7 0 0 1,411 1,289 2 ,3 3 4 1 , 1 8 2 1,152

1 95 3 _____ 2 34 | 136 9 7 2 ,8 8 1 1,503 1,378 2 ,4 6 3 1,239 1,224

1 954 _____ 1 79 | 116 6 3 2 ,9 9 9 1,566 1,432 2 ,5 2 7 1,267 1,260

1955 _____ 158 | 107 5 1 3 ,0 8 6 1 ,6 12 1,474 2 ,5 6 0 1,277 1,282

1956 _____ 2 11 I 139 7 2 3 , 2 17 1,681 1,535 2 ,6 3 5 1,312 1,323

1 95 7 _____ 2 27 I 147 8 0 3 ,3 5 2 1,749 1,603 2 , 7 16 1,347 1,368

1958 _____ 2 27 | 136 9 1 3 ,4 7 7 1,796 1,681 2 ,7 8 7 1,364 1,422

1 95 9 _____ 2 42 | 127 1 14 3 ,6 0 5 1,823 1,782 2 ,8 6 4 1,367 1,497

1960 _____ 2 45 | 123 121 3 ,7 2 6 1,839 1,886 2 ,9 3 6 1,362 1,573

196 1 _____ 2 49 | 137 1 1 1 3 ,8 4 0 1,861 1 , 9 7 9 3 ,0 0 5 1,367 1,637

1962 _____ 2 51 I 156 9 5 3 ,9 4 9 1,895 2 ,0 5 3 3 ,0 7 0 1,389 1,680

1 96 3 _____ 2 85 I 158 127 4 ,0 8 2 1,926 2, 155 3 ,1 6 2 1,411 1,751

1964 _____ 2 63 | 157 105 4, 185 1,952 2 ,2 3 3 3 ,2 2 7 1,430 1,797

1965 _____ 3 33 I 177 155 4 ,3 5 0 1,994 2 ,3 5 6 3 ,3 5 7 1,469 1,888

1966 _____ 3 53 | 2 10 143 4 ,5 2 9 2 ,0 6 7 2 ,4 6 2 3 ,5 0 2 1,538 1,963

1 9 6 7 _____ 4 46 I 243 202 4 ,7 9 5 2 ,1 7 1 2 ,6 2 3 3 ,7 3 3 1,640 2 ,0 9 3

1 96 8 _____ 4 45 | 24 1 204 5 ,0 5 5 2 ,2 7 2 2 ,7 8 2 3 ,9 5 6 1,735 2 ,2 2 1

1 96 9 _____ 5 00 | 266 233 5 ,3 6 5 2 ,3 9 9 2 ,9 6 6 4 ,2 2 6 1,852 2 ,3 7 4

1 97 0 _____ 6 12 | 354 258 5 ,7 8 2 2 , 6 13 3 ,1 6 9 4 ,5 9 8 2 ,0 5 1 2 ,5 4 7

197 1 _____ 5 34 | 327 206 6 ,1 1 5 2 ,7 9 8 3 ,3 1 6 4 ,8 7 9 2 ,2 1 5 2 ,6 6 4

1 97 2 _____ 4 82 | 339 143 6 ,3 8 9 2 ,9 9 3 3 ,3 9 6 5 ,0 9 6 2 ,3 8 2 2 , 7 13

1 973 _____ 4 68 | 310 157 6 ,6 4 2 3,1 5 6 3 ,4 8 5 5 ,2 8 3 2 ,5 0 9 2 ,7 7 4

1974 _____

_______________

5 36 |

________________ I____

3 5 2 184 6 ,9 5 3 3 ,3 5 5 3 ,5 9 7 5 ,5 2 5 2 ,6 6 6 2 ,8 5 8

Digitized for FRASER 

7 0

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
(Millions of dollars)

Sector 30. Paints and allied products: Historical dollars

Y ea r

G ro s s in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l E q u i p m e n t I S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l Equi pm ent S t r u c t u r e s

1 9 4 7 . . . . $38 $20 I $17 $102 $53 $49 $96 $49 $47

1948 . . . . 5 2 27 | 2 4 153 8 0 7 3 145 7 4 7 0

1 94 9 --------- 2 3 1 2 | 10 175 9 1 8 3 164 8 4 7 9

1950 . . . . 2 0

l

12 | 8 194 102 9 1 179 9 2 8 6

195 1 _____ 3 6 21 I 14 228 122 105 209 109 9 9

1 9 5 2 . . . . 2 2 12 I 9 247 133 1 14 224 117 107

1 95 3 _____ 2 6 1 4 | 11 270 144 125 24 1 124 117

1954 --------- 2 4 1 4 | 10 290 155 135 256 13 1 124

1 9 5 5 _____ 2 1 15 | 6 307 166 140 267 138 128

1956 . . . . 3 0 20 | 9 332 182 149 284 149 135

1957 _____ 2 8 1 9 I 9 353 195 158 299 158 14 1

1958 . . . . 3 4 18 I 15 379 206 173 318 164 154

1 95 9 _____ 2 2 1 5 | 7 393 2 14 179 325 167 157

1960 . . . . 2 5 18 I 7 409 223 186 333 172 160

1 9 6 1 . . . . 2 6 19 i 6 424 232 191 34 1 178 162

1962 _____ 2 8 1 9 I 9 440 240 199 349 182 166

1 9 6 3 . . . . 3 7 2 4 1 2 462 252 2 10 365 19 1 174

1 96 4 _____ 3 7 25 I 1 1 434 264 2 19 38 1 20 1 179

1 9 6 5 . . . . 6 0

I

33 | 2 7 527 283 244 4 18 217 200

1966 . . . . 6 0 36 | 2 3 569 304 264 453 237 216

1967 _____ 6 6 39 | 2 7 6 16 328 288 494 258 236

1 9 6 8 . . . . 6 4 45 I 18 660 357 302 531 284 246

1 9 6 9 _____ 6 5 4 2 | 2 3 704 383 321 567 307 260

1970 _____ 1 0 9

I

79 | 3 0 791 445 345 646 365 281

1 9 7 1 . . . . 6 2 4 1 | 2 0 829 469 360 675 383 291

1 9 7 2 . . . . 8 2 55 j 2 6 887 506 380 72 1 4 13 308

1 9 7 3 . . . . 7 3 51 I 2 1 933 539 394 757 438 3 18

1 97 4 _____ 1 2 0 7 9 | 

___ |___

4 0 1 , 0 2 5 598 427

_________

8 3 6

________________

4 8 8 347

Sector 30. Paints and allied products: Constant dollars

(Millions of 1972 dollars)

Y ea r

G ross i n v e s t m e n t G ro ss s to c k s N et s to c k s

I

T o t a l | E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E qu i p m e n t S t r u c t u r e s

1947 _____ $ 86 I $47 $39 $286 $ 138 $148 $262 $126 $136

1948 _____ 108 I 6 0 4 8 39 1 196 195 362 180 18 1

1949. .. . 48 |

I

2 6 2 1 435 219 215 399 199 200

1 9 5 0 _____ 4 1 I 2 4 17 472 240 231 428 214 213

1 95 1 _____ 6 5 I 3 8 2 7 532 275 257 479 243 236

1 95 2 _____ 3 9 I 2 2 16 565 293 272 50 1 253 248

1 9 5 3 . . . . 45 I 2 5 2 0 603 3 12 29 1 527 263 264

1 9 5 4 . . . . 4 2 | 

j

2 4 18 636 328 307 548 27 1 276

1 9 5 5 _____ 36 | 2 5 1 1 66 1 344 317 560 278 28 1

1956 _____ 4 7 I 3 1 15 695 364 33 1 580 289 290

1957 _____ 4 2 I 2 7 14 722 378 343 594 296 298

1958 . . . . 51 | 2 5 2 5 755 389 366 6 14 298 3 16

1 9 5 9 _____ 3 3 | 2 1 12 769 392 376 6 14 294 319

1 9 6 0 _____ 3 6 | 2 5 1 1 783 398 385 6 15 294 321

196 1 _____ 37 | 2 6 10 795 402 393 6 15 293 322

1962 _____ 40 | 2 5 14 808 404 403 6 17 291 325

1963 _____ 5 2 | 3 2 2 0 829 4 10 4 18 630 295 334

1 96 4 _____ 5 1 I 

j

3 3 18 848 416 431 6 4 0 300 339

1965 _____ 8 3 I 4 2 4 1 897 430 466 682 314 367

1966 . . . . 79 | 4 5 3 4 940 447 492 7 19 332 386

1 9 6 7 _____ 8 5 | 4 6 3 8 988 465 522 760 350 4 10

1 96 8 _____ 77 | 5 2 2 5 1 , 0 2 7 489 537 792 374 4 18

1969 _____ 7 5 | 4 7 2 8 1,063 507 555 82 1 391 429

1970 _____ 1 18 | 8 4 3 4 1, 140 563 577 891 445 445

197 1 _____ 6 4 | 4 2 2 1 1, 163 578 585 905 456 448

1 9 7 2 ... . 82 I 5 5 2 6 1,203 605 597 935 479 456

1 97 3 _____ 70 | 5 0 2 0 1,229 627 60 1 951 494 456

1974 . . . . 10 1 |

________________ 1_____

6 9 3 1 1,284 667 6 16 995 527

_____________________

4 6 8

71

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
(Millions of dollars)

Sector 31. Petroleum refining: Historical dollars

G ro ss in v e s tm e n t G ro s s s to c k s N et s to c k s

T o ta l

|

E q u i p m e n t I S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1 94 7 _____ $ 348 $58 $289 $ 4 ,0 01 $ 1 ,2 6 6 $ 2 ,7 3 5 $ 3 ,0 9 2 $ 1 ,0 61 $ 2 ,0 31

1 94 8 _____ 5 5 2 160 ! 391 4 ,4 2 7 1,388 3 ,0 3 8 3 ,481 1,152 2 ,3 2 9

1 94 9 _____ 4 2 7 127 | 299 4 , 7 19 1,471 3 ,2 4 8 3 ,7 3 3 1,201 2 ,5 3 2

1950 _____ 2 7 3 103 169 4 ,8 4 7 1,521 3 ,326 3 ,8 2 1 1,218 2 ,6 0 2

1951. .. . 355 159 I 195 5 ,0 4 7 1 , 6 18 3 ,4 2 9 3 ,9 8 3 1,284 2 ,6 9 8

1 95 2 _____ 4 6 4 235 I 228 5 ,3 4 8 1,784 3 ,5 6 3 4 ,2 4 7 1,420 2 ,8 2 6

1953 _____ 6 7 7 243 I 433 5 ,8 5 5 1 , 9 5 2 3 ,9 0 3 4 , 7 14 1,557 3 , 157

1 95 4 _____ 7 0 4 247 | 457 6 ,3 8 4 2 ,1 1 8 4 ,2 6 5 5 , 198 1,689 3 ,5 0 8

1 9 5 5 _____ 6 0 3 176 I 427 6 ,8 0 5 2 ,2 0 5 4 ,5 9 9 5 ,5 6 7 1,741 3 ,8 2 6

1956 _____ 7 0 8 176 I 532 7 ,3 2 3 2 ,2 8 5 5 ,0 3 8 6 ,0 3 0 1,786 4 ,2 4 3

1957 _____ 9 0 0 278 I 621 8 ,0 2 6 2 ,4 5 7 5 ,5 6 8 6 ,6 7 0 1 , 9 2 6 4 ,7 4 4

1958. .. . 688 159 I 529 8 ,5 0 9 2 ,5 0 1 6 ,0 0 7 7 ,0 8 1 1,935 5, 145

1 95 9 --------- 4 3 3 148 | 285 8 ,7 2 8 2 ,5 2 3 6 ,2 0 5 7 ,2 2 3 1,928 5 ,2 9 5

1960 _____ 4 8 5 130 355 8 ,9 9 1 2 ,5 1 8 6 ,4 7 3 7 ,4 0 5 1,897 5 ,5 0 7

196 1 _____ 4 9 5 127 | 368 9 ,257 2 ,5 0 2 6 ,7 5 4 7 ,5 8 5 1,859 5 ,7 2 5

1 96 2 _____ 4 8 0 182 I 298 9 ,500 2 ,5 3 5 6 ,9 6 5 7 ,7 3 7 1,874 5 ,8 6 3

1963 . . . . 414 130 I 284 9 ,6 6 8 2 ,5 1 0 7 , 158 7 , 8 11 1,833 5 ,9 7 7

1964 _____ 4 1 3 146 | 267 9 ,8 2 8 2 ,4 9 6 7,3 3 1 7 ,8 7 4 1,808 6 ,0 6 5

1 96 5 _____ 6 0 4 180 424 10,172 2 ,5 1 4 7 ,6 5 8 8 ,1 1 6 1,816 6 ,3 0 0

1966 _____ 6 6 9 254 I 4 15 10,573 2 ,6 0 2 7 ,9 7 0 8 , 4 11 1,898 6 ,5 1 2

1967 --------- 1 ,000 439 I 560 11,296 2 ,8 7 3 8 ,4 2 2 9 ,0 2 0 2, 163 6 ,8 5 7

1968. .. . 1,065 644 I 42 1 12,073 3,3 4 7 8 ,7 2 5 9 ,6 7 4 2 ,6 2 6 7 ,0 4 7

1 96 9 _____ 1 ,072 522 | 549 12,844 3 ,6 9 6 9, 147 10,307 2 ,9 5 7 7 ,3 5 0

1970 _____ 1 ,218 547 670 13,748 4 ,0 7 0 9,6 7 7 11,059 3 ,3 0 0 7 ,7 5 8

197 1 _____ 1 ,305 553 | 75 1 14,720 4 ,4 4 6 10,274 1 1 , 8 6 4 3 ,6 3 4 8 ,2 3 0

1 97 2 _____ 1 , 155 529 | 625 15,520 4 ,7 9 3 10,727 12,482 3 ,9 2 4 8 ,5 5 7

1 973 _____ 1 ,107 637 | 470 16,246 5 ,2 3 8 11,008 13,014 4 ,3 0 0 8 ,7 1 3

1 97 4 _____ 1 ,846 1,047 | 798 17,679 6 ,0 8 1 > 1 1 , 5 9 8 

_____________________

1 4,244 5 ,0 6 1 9, 183

_______________________

Sector 31. Petroleum refining: Constant dollars

(Millions of 1972 dollars)

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l

!

E q u i p m e n t I S t r u c t u r e s T o ta l

1

E qu i p m e n t | S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1 947 _____ $ 764 $121 | $643 $ 14 ,60 7 $ 3 ,3 51 | $ 1 1 ,2 5 6 I $ 1 0 , 6 9 6 $ 2 ,7 7 9 $ 7 ,9 1 7

1948 _____ 1 ,096 3 14 782 15,154 3 ,5 5 8 11,595 11, 184 2 ,9 0 5 8 ,2 7 8

1 94 9 _____ 8 5 1 2 4 0 | 6 10 15,436 3 ,6 7 2 | 1 1 , 7 6 4 I 1 1 , 4 0 4 2 ,9 3 7 8 ,4 6 7

1950 _____ 5 4 4 19 1 352 15,391 3 , 7 14 1 1 , 6 7 6 I 1 1 , 3 0 1 2 ,9 0 2 8 ,3 9 8

1 95 1 _____ 6 2 7 265 j 362 15,408 3 ,8 1 0 | 1 1 , 5 9 8 I 1 1 , 2 7 2 2 ,9 2 9 8 ,3 4 3

1 95 2 _____ 7 9 3 385 j 407 15,574 4 ,0 0 9 | 1 1,565 1 1 1 , 4 0 2 3 ,0 6 5 8 ,3 3 6

1 95 3 _____ 1 ,166 392 774 16,101 4 ,1 9 9 | 1 1 , 9 0 2 1 1 1 , 8 9 8 3 ,1 9 8 8 ,7 0 0

1 9 5 4 . . . . 1,223 392 830 16,674 4 ,3 7 7 | 12,297 12,441 3 ,3 2 0 9, 120

1 95 5 _____ 1 ,047 270 777 17,062 4 ,4 1 9 | 1 2,643 12,797 3,311 9 ,4 8 6

1956 _____ 1 ,135 248 886 17,526 4 ,4 2 4 | 13,101 I 1 3 , 2 3 2 3 ,2 7 1 9 ,9 6 1

1 95 7 _____ 1 ,358 3 7 1 I 986 18,204 4 ,5 3 7 | 13,667 13,882 3 ,3 4 8 10,534

1 958 _____ 1 ,077 209 | 867 18,594 4 ,4 7 2 | 14,122 14,240 3 ,2 5 5 10,984

1 95 9 _____ 6 6 5 1 8 9 | 

j

475 18,566 4 ,3 7 3 | 14,193 14,178 3 ,1 4 1 11,037

1960 _____ 7 5 6 165 591 18,626 4 ,2 3 8 14,388 14,207 3 ,0 0 3 1 1 , 2 0 3

196 1 _____ 7 7 5 16 1 | 6 14 18,705 4 ,0 9 3 | 14,611 I 1 4 , 2 5 2 2 ,8 6 5 11,386

1962 _____ 7 19 230 | 488 18,729 4 ,0 1 6 | 14,713 I 1 4 , 2 4 0 2 ,8 0 2 11,438

1963 _____ 6 2 3 164 458 18,661 3 ,8 7 4 14,787 I 1 4 , 1 3 1 2 ,6 7 9 1 1 , 4 5 2

1 96 4 _____ 6 0 6 182 | 423 18,583 3 ,7 5 4 | 14,829 14,007 2 ,5 8 2 11,425

1 96 5 _____ 8 7 7 225 652 18,783 3 ,6 8 3 15,100 I 1 4 , 1 5 4 2 ,5 3 5 11,619

1966 _____ 9 2 0 310 | 6 10 19,032 3 ,7 0 2 | 15,330 14,340 2 ,5 8 0 1 1 , 7 5 9

1967 _____ 1 ,312 523 | 789 19,678 3 ,9 4 0 | 15,737 j 1 4 , 9 1 0 2 ,8 4 3 12,066

1 96 8 _____ 1 ,310 740 | 569 2 0,3 21 4 ,4 0 2 | 15,918 I 1 5 , 4 6 1 3 ,3 2 3 12,138

1 9 6 9 _____ 1 ,267 580 | 686 2 0 ,9 1 9 4 ,7 0 8 | 16,210 i 1 5 , 9 4 9 3 ,6 3 5 1 2,313

1970 _____ 1 ,345 582 | 762 2 1 ,5 9 3 5 ,0 2 4 | 16,569 16,491 3 ,9 4 3 1 2,548

197 1 _____ 1 ,355 564 | 791 2 2 ,2 66 5 ,3 2 3 | 1 6,942 I 1 7 , 0 1 6 4 ,2 2 0 12,795

1 97 2 _____ 1 , 155 529 | 625 2 2 ,7 1 9 5 ,5 8 9 | 17, 129 I 1 7 , 3 0 8 4 ,4 4 7 12,860

1 9 7 3 _____ 1 ,060 624 I 436 2 3 ,0 5 4 5 ,9 4 6 | 17,107 I 1 7 , 4 7 5 4 ,7 5 1 12,723

1 97 4 _____ 1 ,559 9 3 5 I 

___ l _

6 2 3 2 3 ,8 5 8 6 ,6 0 5 |

_____________ L

1 7,253 I 1 8 , 1 0 7 5 ,3 4 4

_________

1 2,7 62

7 2

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 32. Rubber and miscellaneous plastic products: Historical dollars

(Millions of dollars)

G ro s s in v e s tm e n t

—

G ro s s s to c k s N et s to c k ;

T o ta l E q u ip m e n t S t r u c t u r e s T o ta l Equ i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1947 . . . . $144 I $100 $44 $6 18 $431 $186 $533 $381 $152

1948 . . . . 112 | 8 8 2 4 7 16 5 10 206 623 45 1 171

1 94 9 _____ 8 7 | 6 4 2 3 788 563 224 684 495 189

1950 . . . . 120 I 9 9 2 1 893 652 241 776 57 1 204

1 9 5 1 . . . . 149 I 123 2 5 1,026 763 262 892 668 224

1 9 5 2 . . . . 168 I 132 3 6 1,175 882 293 1,021 767 253

1 9 5 3 . . . . 168 I 137 3 0 1,322 1,003 319 1, 145 867 277

1 95 4 --------- 170 I 145 2 4 1,468 1, 129 338 1,263 968 295

1 9 5 5 . . . . 176 | 143 3 3 1,616 1,249 367 1,381 1,060 320

1956 . . . . 2 17 | 184 3 3 1,801 1,406 395 1,531 1, 186 345

1957 . . . . 218 I 176 4 1 1,981 1,549 432 1,674 1,295 379

1 9 5 8 . . . . 192 I 158 3 3 2, 129 1,668 46 1 1,781 1,378 403

1 95 9 --------- 2 26 | 183 4 3 2 ,3 0 5 1,806 499 1,913 1,477 436

1960 . . . . 298 | 248 5 0 2 ,5 4 4 1,999 544 2 ,1 0 8 1,632 475

1 9 6 1 . . . . 292 I 237 5 4 2 ,7 6 8 2 , 174 594 2 ,2 8 4 1,767 517

1 9 6 2 . . . . 349 i 300 4 9 3 ,0 4 1 2 ,4 0 2 638 2 ,5 0 7 1,953 553

1 9 6 3 . . . . 340 I 286 5 3 3 ,2 9 4 2 ,6 0 8 686 2 ,7 0 8 2 ,1 1 6 592

1 96 4 _____ 3 94 I 324 7 0 3 ,5 9 3 2 ,8 4 2 75 1 2 ,9 5 1 2 ,3 0 4 647

1 9 6 5 . . . . 513 j 428 8 4 4 ,0 0 0 3 ,1 7 1 829 3 ,2 9 9 2 ,5 8 5 7 14

1 9 6 6 . . . . 587 I 494 9 2 4 ,4 6 9 3 ,5 5 5 9 14 3 ,7 0 4 2 , 9 17 787

1 9 6 7 . . . . 678 i 547 131 5 , 0 19 3 ,9 8 2 1,036 4, 183 3,2 8 6 897

1 9 6 8 . . . . 780 I 592 188 5 ,6 5 9 4 ,4 4 4 1,215 4 ,7 4 3 3,6 8 1 1,061

1 96 9 _____ 8 58 I 699 159 6 ,3 6 5 5 ,001 1,363 5 ,3 5 7 4 ,1 6 4 1,193

1970 . . . . 8 19 | 656 163 7 ,0 1 9 5 ,5 0 3 1,515 5 ,9 0 6 4 ,5 7 9 1,327

1 9 7 1 . . . . 740 I 579 160 7 ,5 7 7 5 ,9 1 4 1,662 6 ,3 4 7 4 ,8 9 2 1,455

1 9 7 2 . . . . 1,003 I 816 186 8 ,3 8 2 6 ,5 4 7 1,834 7 ,0 2 3 5 ,4 1 7 1,606

1 9 7 3 ... . 1,289 | 1,028 26 1 9 ,4 5 4 7 ,3 7 4 2 ,0 7 9 7 ,9 5 0 6, 122 1,827

1 97 4 _____ 1 ,461 |

________________ I____

1 , 124 336 10,675 8 ,2 7 8 2 ,3 9 7 9 ,007 6 ,8 8 6 2 , 120

Sector 32. Rubber and miscellaneous plastic products: Constant dollars

(Millions of 1972 dollars)

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s

—

N et s to c k s

T o ta l E qu i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

r

T o ta l Equi pm ent S t r u c t u r e s

1947 _____ $ 36 1 $263 $97 $ 1 , 8 5 7 $ 1 ,1 8 9 $668 $ 1 ,5 3 9 | $ 1 ,0 30 $508

1 94 8 _____ 2 5 8 209 4 8 2,0 6 1 1,365 695 1,725 | 1,190 535

1 94 9 _____ 1 9 2 144 4 7 2, 199 1,478 721 1,838 | 1,278 560

1950 _____ 2 5 5 211 4 3 2 ,3 9 9 1,655 744 2 ,0 0 7 | 1,425 582

195 1 _____ 2 8 0 233 4 7 2,6 2 1 1,851 770 2 ,1 9 3 | 1,585 607

1 952 _____ 3 0 8 244 6 4 2 ,8 6 7 2 ,0 5 4 8 12 2 ,3 9 4 I 1,746 648

1 953 _____ 3 0 4 250 5 4 3 ,1 0 3 2 ,2 5 7 846 2 ,5 8 1 I 1,900 680

1 95 4 _____ 3 0 3 259 4 4 3,331 2 ,4 6 2 868 2 ,7 5 3 i 2 ,0 5 2 700

1 95 5 _____ 3 0 2 242 5 9 3 ,5 4 9 2 ,6 4 2 907 2 ,9 1 0 I 2 ,1 7 3 736

1956 _____ 3 3 8 283 5 5 3 ,7 9 3 2 ,8 5 1 94 1 3 ,0 8 9 | 2 ,3 2 2 767

1957 _____ 321 2 5 4 6 6 4 ,0 0 8 3 ,020 987 3 ,2 3 6 j 2 ,4 2 7 808

1 95 8 _____ 2 8 1 226 5 4 4 ,1 7 0 3 ,1 4 8 1,022 3 ,3 2 8 | 2 ,4 9 1 837

1 959 _____ 3 2 6 255 7 1 4 ,3 6 2 3 ,2 8 8 1 , 0 7 3 3 ,4 5 2 | 2 ,5 7 0 88 1

1960 _____ 4 18 335 8 3 4 ,6 3 0 3 ,4 9 2 1,137 3 ,6 5 3 | 2 , 7 17 936

196 1 _____ 4 0 7 316 9 0 4 ,8 7 0 3 ,6 6 2 1,208 3 ,8 2 8 I 2 ,8 3 2 996

1 96 2 _____ 4 7 5 394 8 0 5 ,1 6 3 3 ,8 9 4 1,269 4 ,0 5 9 | 3 , 0 13 1,046

1 963 _____ 4 6 3 377 8 6 5 ,4 2 9 4 ,0 9 4 1,335 4 ,2 6 4 | 3, 165 1,098

1 96 4 _____ 5 3 2 420 111 5 ,7 5 0 4 ,3 2 4 1,426 4 ,5 2 5 | 3,3 5 0 1,175

1 96 5 --------- 6 7 2 542 129 6 ,1 9 7 4 ,6 6 3 1,534 4 ,9 1 2 | 3 ,6 4 5 1,267

1 9 6 6 _____ 7 4 6 6 10 135 6 ,7 0 6 5 ,0 5 9 1,646 5 ,3 5 6 | 3 ,9 9 4 1,362

1 9 6 7 _____ 8 3 6 65 1 184 7 ,2 9 2 5 ,4 8 6 1,806 5 ,8 7 3 | 4 ,3 6 9 1,503

1 96 8 _____ 9 3 5 68 1 254 7 ,9 6 6 5 ,9 3 2 2 ,0 3 4 6 ,4 6 8 I 4 ,7 5 7 1 , 7 10

1969 _____ 9 7 3 777 196 8 ,6 6 7 6 ,4 6 5 2 ,2 0 2 7 ,0 7 8 | 5 ,2 2 2 1,856

1970 _____ 8 7 6 690 185 9 ,260 6,9 0 1 2 ,3 5 8 7 ,5 6 5 | 5 ,5 7 8 1,987

197 1 _____ 7 5 4 585 169 9 , 7 16 7 ,2 2 1 2 ,4 9 5 7 ,9 0 4 I 5 ,8 0 6 2 ,0 9 8

1 97 2 _____ 1 ,003 816 186 10,406 7 ,7 5 8 2 ,6 4 7 8 ,4 6 5 | 6 ,241 2 ,2 2 3

1973 _____ 1 ,240 998 242 11,316 8 ,4 6 3 2 ,8 5 2 9 ,2 3 0 I 6 ,8 3 0 2 ,3 9 9

1 9 7 4 _____ 1 ,258

_______

9 9 5

_________

2 6 2 12,221 9,146 3 ,0 7 5

_________

9 ,9 7 4 |

I

7 ,381 2 ,5 9 2

73

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
(Millions of dollars)

Sector 33. Leather tanning: Historical dollars

Y ea r

G ro ss i n v e s t m e n t

_____________________________________ L

G ro ss s to c k s N et s to c k s

T o t a l | E q u i p m e n t S t r u c t u r e s j T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1 94 7 _____ $ 11 | $ 7 $ 3 $55 $30 $24 $44 $26 $ 18

1 9 4 8 _____ 18 I 1 1 6 7 1 4 1 3 0 5 9 3 6 2 3

1 94 9 _____ 12 | 7 4 8 0 4 7 3 3 6 8 4 1 2 6

1950 _____ 8 I 6 2 8 6 5 2 3 3 7 3 4 5 2 7

1 95 1 _____ 8 I 6 2 9 1 5 6 3 4 7 7 4 9 2 8

1 9 5 2 _____ 5 | 3 1 9 3 5 9 3 4 7 7 4 9 2 8

1 95 3 _____ 8 I 5 2 9 8 6 2 3 5 8 1 5 2 2 8

1 95 4 _____ 8 I 5 2 I 102 6 6 3 6 8 4 5 3 3 0

1 95 5 _____ 7 i 5 2 106 6 8 3 7 3 5 5 5 3 0

1956 _____ 7 | 5 1 109 7 0 3 8 8 7 5 5 3 1

1957 _____ 7 | 6 1 i 1 12 7 3 3 8 8 9 5 7 3 1

1 95 8 --------- 8 I 6 2 1 16 7 6 3 9 9 1 5 8 3 2

1 9 5 9 _____ 8 I

I

6 2 I 1 19 7 9 4 0 9 3 6 0 3 3

1960 _____ 7 j 5 1 12 1 8 0 4 1 9 3 5 9 3 3

196 1 _____ 5 I 4 1 ! 12 1 8 0 4 0 9 1 5 8 3 2

1 96 2 _____ 8 j 6 1 I 123 8 1 4 1 9 2 5 9 3 2

1 96 3 _____ 7 | 6 1 123 8 2 4 1 9 1 5 9 3 2

1 9 6 4 _____ 8 I 7 1 I 125 8 3 4 1 9 2 6 0 3 2

1 96 5 _____ 1 2 | 10 2 130 8 7 4 2 9 7 6 4 3 2

1966 _____ 18 I 12 5 | 14 1 9 4 4 6 107 7 1 3 5

1967 _____ 17 | 12 5 151 100 5 1 1 17 7 7 3 9

1968 _____ 17 | 12 5 I 16 1 106 5 4 126 8 3 4 2

1969 _____ 1 5 | 1 1 3 168 1 12 5 6 132 8 8 4 3

1970 _____ 13 I 1 1 2 I 174 1 17 5 7 137 9 2 4 4

197 1 _____ 1 8 | 14 3 I 185 126 5 9 146 100 4 5

1 97 2 _____ 17 | 13 4 194 133 6 1 153 106 4 7

1 9 7 3 . . . . 13 | 10 3 I 199 136 6 2 157 108 4 8

1 97 4 _____ 1 4 |

__________ 1___

10 3

_____________ L

2 0 5 140 6 4 160

___

1 1 0

_____________

4 9

Sector 33. Leather tanning: Constant dollars

(Millions of 1972 dollars)

—

Y ea r

G ro ss in v e s tm e n t

----------------------------r

G ro ss s to c k s N et s to c k s

T o ta l

i r

E q u i p m e n t 1 S t r u c t u r e s 1 T o t a l I E q u i p m e n t S t r u c t u r e s i T o ta l E q u i p m e n t S t r u c t u r e s

1947 _____ $ 2 6

1

$ 18

r

$8 | $ 188 | $90 $97 $ 14 1 $74 $66

1948 --------- 3 9 26 I 13 | 218 | 1 12 105 j 17 1 9 6 7 5

1 9 4 9 . . . . 2 4 16 ! 8 j 234 j 125 109 | 186 106 7 9

1950 _____ 17 13 | « j 242 I 134 108 | 193 113 7 9

195 1 _____ 14 10 | 3 I 248 | 140 107 | 196 1 17 7 8

1 95 2 _____ 8 6 I 1 j 247 | 142 104 j 192 1 16 7 6

1 95 3 _____ 13 10 | 3 1 250 I 147 103 I 194 1 18 7 6

1 95 4 _____ 13 9 I 254 | 150 103 | 195 1 18 7 6

1 95 5 _____ 1 2 8 I 3 I 255 I 152 102 194 1 17 7 6

1956 _____ 10 7 | 2 1 254 | 153 10 1 I 19 1 115 7 5

1957 _____ 1 1 8 I 2 1 253 | 153 99 I 188 113 7 4

1 958 _____ 12 9 3 1 253 I 154 9 9 186 112 7 4

1 95 9 _____ 1 1 8 I 3 I 252 | 154 9 8 183 110 7 3

1960 . . . . 9 7 I 2 I 249 | 15 1 97 | 178 106 7 2

196 1 _____ 7 6 i j 242 I 147 9 5 17 1 10 1 7 0

1962 _____ 11 8 I 2 1 238 I 144 94 | 167 9 8 6 8

1 963 --------- 9 3 I 1 | 233 | 140 92 I 162 9 5 6 6

1 96 4 _____ 1 1 9 I 2 I 229 | 137 9 1 158 9 3 6 5

1965 . . . . 16 13 | 2 I 229 | 138 91 160 9 6 6 4

1966 _____ 2 4 16 | 7 I 238 | 142 95 I 170 102 6 8

1 9 6 7 _____ 2 2 14 | 7 I 245 | 146 99 | 178 106 7 2

1968 _____ 2 1 14 I 6 I 252 I 149 103 | 186 1 1 1 7 4

1 96 9 _____ 17 13 | 4 I 255 | 15 1 103 | 189 1 14 7 4

1970 _____ 14 1 1 2 I 255 | 153 102 190 1 16 7 3

197 1 _____ 19 15 I 4 I 2 6 1 I 158 102 | 195 121 7 3

1 972 _____ 17 13 I 4 I 264 | 162 102 198 125 7 3

1 97 3 _____ 13 10 I 3 I 264 I 163 10 1 197 124 7 2

1974 _____ 12 9 1

_____________________ 1____

2 I 

__________ L

2 63 I

_______________I____

1 6 3 99 j

_____________________ l

1 9 4 123 7 0

7 4

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 34. Footwear and other leather products: Historical dollars

(Millions of dollars)

Y ea r

—

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

—

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E qu i p m e n t S t r u c t u r e s

1 9 4 7 _____ $ 2 2 $17 $ 5 $234 $138 $96 $ 182 $ 1 1 1 $70

1 9 4 8 . . . . 2 1 14 7 246 146 100 192 117 7 4

1 94 9 _____ 2 0 13 6 256 152 103 199 122 7 7

1950 --------- 19 15 4 264 160 104 206 128 7 7

195 1 --------- 17 12 4 270 166 104 209 131 7 8

1952 _____ 1 5 1 1 4 274 170 104 2 1 1 133 7 8

1953 . . . . 19 14 4 28 1 176 105 2 16 136 7 9

1 95 4 _____ 2 2 16 6 292 183 108 223 141 8 1

1 95 5 _____ 3 2 2 5 6 3 1 0 199 m 240 155 8 4

1956 _____ 3 2 2 4 7 3 2 9 2 13 115 256 167 8 8

1957 _____ 2 6 2 0 6 34 1 223 1 17 265 174 9 1

1958. .. . 2 4 18 5 35 1 231 1 19 272 179 9 2

1 95 9 _____ 2 7 2 1 5 363 24 1 121 280 186 9 4

1 9 6 0 --------- 2 9 2 3 5 3 7 6 252 123 290 194 9 5

196 1 _____ 3 0 2 1 9 389 26 1 128 300 200 100

1 9 6 2 --------- 2 9 2 1 7 40 1 269 132 309 205 103

1 9 6 3 . . . . 2 9 2 3 5 4 1 1 277 134 3 16 211 104

1 96 4 _____ 3 0 2 2 8 423 283 139 325 216 108

1 96 5 _____ 3 6 2 7 8 439 295 143 338 226 1 12

1966 _____ 4 5 3 0 14 464 310 154 359 238 121

1967 . . . . 4 6 3 1 1 5 490 324 165 38 1 249 131

1968 . . . . 6 3 4 2 2 0 53 1 349 181 419 272 147

1969 _____ 5 0 3 4 16 560 366 194 443 285 158

1 9 7 0 . . . . 5 1 3 5 15 588 383 205 466 298 167

197 1 _____ 5 4 4 1 12 6 19 405 213 49 1 316 174

1 97 2 _____ 5 9 4 3 15 654 428 225 5 19 335 184

1 97 3 _____ 6 9 4 7 2 1 697 454 242 556 356 199

1 97 4 _____ 6 3 4 1 2 2 734 473 260 586 370

_________

2 1 5

__________

Sector 34. Footwear and other leather products: Constant dollars

(Millions of 1972 dollars)

Y ea r

G ross i n v e s t m e n t

-------------- r

i G ro ss s to c k s

—

N et s to c k s

i i r

T o t a l I E q u i p m e n t I S t r u c t u r e s | T o ta l

I

E q u ip m e n t | S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1947 _____ $ 50 | $38 | $ n i $812 $392 | $419 $60 1 $308 $293

1948 --------- 4 4 | 29 | 19 I 8 19 402 I 4 17 606 314 292

1 94 9 _____ 40 | 26 | 13 | 823 408 | 4 14 606 316 289

1 9 5 0 _____ 37 | 2 9 I 8 I 822 416 406 603 321 282

1951 . . . . 30 | 2 2 7 | 814 4 17 | 397 59 1 3 17 273

1 9 5 2 _____ 27 | 20 | 7 8 0 2 415 | 387 577 311 265

1953 _____ 3 3 | 24 I 8 795 4 15 I 379 567 308 258

1954 . . . . 38 | 27 | 11 i 792 4 18 | 374 562 307 254

1955. .. . 53 | 41 I 11 803 434 369 573 321 25 1

1956 _____ 50 I 37 | 12 I 8 1 1 445 | 365 579 329 250

1957 _____ 33 | 2 8 I 9 I 805 446 | 358 573 328 245

1 9 5 8 _____ 3 5 I 26 I 9 797 445 351 564 324 240

1 959 _____ 38 | 29 | s i 79 1 447 | 344 558 323 235

1960 _____ 40 I 32 I 8 I 787 449 | 337 554 324 230

196 1 _____ 4 4 | 29 I 14 I 785 448 336 554 323 23 1

1 96 2 _____ 40 | 2 9 I 1 1 I 778 445 | 333 550 321 229

1 9 6 3 _____ 39 I 30 | 9 I 77 1 444 | 327 546 320 225

1 96 4 --------- 4 2 | 28 | 13 | 767 441 | 326 545 319 226

1 96 5 _____ 47 | 3 5 12 I 769 445 | 324 550 324 226

1 9 6 6 _____ 5 9 | 38 | 20 I 783 453 330 567 333 234

1 9 6 7 . . . . 58 I 37 | 2 1 798 460 338 583 340 243

1 96 8 _____ 76 | 4 8 I 27 I 831 479 352 6 17 359 258

1 96 9 --------- 5 8 | 38 | 20 | 847 487 | 359 632 366 266

1970 _____ 5 5 | 37 | 17 | 859 495 363 644 372 27 1

197 1 _____ 5 6 | 4 2 13 | 873 508 | 364 656 383 272

1972 _____ 5 9 I 43 | 15 I 889 521 | 367 670 394 276

1 97 3 _____ 6 6 | 4 5 20 | 9 12 536 | 375 691 406 284

1974 _____ 5 3 | 36 I

_______ I_

17 | 922 5 4 1 |

__________ L_

3 8 1 698

________

4 0 8

__________

2 9 0

___________

7 5

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
(Millions of dollars)

Sector 35. Glass and glass products: Historical dollars

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1 94 7 _____ $ 7 3 $39 $33 $343 $176 $166 $283 $146 $137

1 94 8 _____ 5 5 3 7 17 387 207 180 324 174 150

1 9 4 9 _____ 3 2 2 2 10 409 222 186 34 1 185 155

1950 . . . . 5 2 3 8 13 450 253 196 376 212 164

1 9 5 1 . . . . 7 7 5 3 2 4 515 298 216 435 252 183

1952 . . . . 5 0 3 9 1 1 552 328 223 465 276 188

1 95 3 _____ 6 4 4 4 19 60 1 362 239 507 304 202

1 95 4 _____ 7 7 5 4 2 3 664 405 258 560 340 219

1 95 5 _____ 9 9 6 6 3 3 746 458 287 632 385 246

1956 . . . . 183 125 5 8 9 1 1 570 34 1 785 488 297

1957 _____ 1 8 4 136 4 8 1,076 691 385 934 596 338

1 9 5 8 . . . . 8 9 5 9 3 0 1,144 733 4 10 984 623 360

1 9 5 9 _____ 1 0 6 7 4 3 1 1,227 789 438 1,046 663 383

1960 --------- 1 2 7 9 0 3 7 1,328 857 47 1 1, 123 7 12 410

1 9 6 1 _____ 1 4 3 9 7 4 6 1,442 929 513 1,211 764 446

1 96 2 _____ 1 3 1 104 2 6 1,538 1,004 534 1,281 8 19 46 1

1 9 6 3 --------- 1 18 9 0 2 8 1 ,6 18 1,060 557 1,332 854 477

1 9 6 4 _____ 1 6 2 122 3 9 1,736 1,144 591 1,421 917 503

1965 --------- 1 8 8 143 4 4 1,874 1,244 629 1,529 995 533

1 9 6 6 . . . . 327 249 7 8 2 , 146 1,445 700 1,770 1,173 596

1967 _____ 2 3 5 181 5 3 2 ,3 2 0 1,573 747 1,909 1,276 633

1 9 6 8 _____ 2 0 0 156 4 3 2 ,4 5 3 1,671 782 2 ,0 0 5 1,346 658

1 9 6 9 _____ 2 8 3 211 7 2 2 ,6 6 3 1,818 845 2, 176 1,465 710

1970 _____ 3 0 3 231 7 2 2 ,8 8 5 1 , 9 7 8 907 2 ,3 5 7 1,596 76 1

1 9 7 1 . . . . 269 192 7 7 3,0 6 6 2,0 9 1 974 2 ,4 9 4 1,678 815

1 97 2 _____ 3 0 7 249 5 8 3 ,2 7 5 2 ,2 5 5 1,019 2 ,6 5 9 1 , 8 10 848

1 9 7 3 . . . . 431 332 9 9 3 ,6 0 1 2 ,4 9 5 1,105 2 ,9 3 8 2 , 0 16 921

1974 _____ 4 2 5 349 7 5 3 , 9 13 2 ,7 4 6 1,166 3 ,1 9 8 2 ,2 2 8 969

Sector 35. Glass and glass products: Constant dollars

(Millions of 1972 dollars)

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l E qu i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t 1 S t r u c t u r e s

1 94 7 _____ $ 172 $98 $73 $ 1 ,1 3 5 $522 $6 13 $897 $4 18 | $478

1 94 8 _____ 1 2 1 8 6 3 4 1,218 586 63 1 970 476 | 494

1 94 9 _____ 6 8 4 8 2 0 1,246 6 1 1 634 988 492 495

1950 _____ 1 0 7 7 9 2 8 1,312 666 646 1,041 537 504

1 9 5 1 _____ 1 4 3 9 8 4 4 1 , 4 12 738 673 1, 128 599 529

1 95 2 _____ 9 0 7 0 19 1,455 779 675 1, 157 629 528

1 9 5 3 _____ 1 1 5 7 9 3 5 1,520 827 693 1,209 665 | 543

1954 _____ 1 3 7 9 5 4 1 1,606 888 7 17 1,279 7 15 | 563

1 95 5 _____ 17 1 m 5 9 1,723 963 759 1,379

I

777 602

1956 _____ 2 8 9 192 9 6 1 , 9 5 5 1,117 837 1,592 916 676

1957 _____ 2 7 3 197 7 6 2 ,1 7 0 1,273 896 1,783 1,054 | 729

1 95 8 _____ 1 3 3 8 4 4 9 2 ,2 4 2 1,314 927 1,826 1,072 i 754

1 9 5 9 _____ 1 5 6 103 5 2 2 ,3 3 3 1,371 962 1,887 1,105 | 782

1960 _____ 1 8 3 121 6 1 2 ,4 4 6 1,441 1,005 1 , 9 6 7 1,149 | 8 17

196 1 _____ 2 0 8 13 1 7 7 2 ,5 7 8 1 , 5 15 1,063 2 ,0 6 5 1,197 I 867

1 96 2 _____ 1 8 3 139 4 3 2 ,6 7 8 1,591 1 , 0 8 7 2 ,1 3 0 1,248 | 882

1 96 3 _____ 1 6 6 120 4 5 2 ,7 5 4 1,641 1,112 2 ,1 7 1 1,273 | 897

1 96 4 _____ 2 2 4 16 1 6 2 2 ,881 1,727 1,153 2 ,2 6 3 1,335 928

1 9 6 5 _____ 2 5 1 184 6 7 3 ,0 2 8 1,829 1, 199 2 ,3 7 7 1,414 | 963

1966 _____ 4 2 6 3 1 1 1 14 3 ,3 4 3 2 ,0 5 2 1,291 2 ,6 5 8 1,613 | 1,044

1967 _____ 2 9 4 218 7 5 3,5 2 0 2 ,1 7 7 1,343 2 ,7 9 7 1,712 | 1, 084

1 96 8 _____ 2 3 8 180 5 8 3 ,6 3 5 2 ,2 5 7 1,377 2 ,8 7 1 1,766 I 1,105

1 9 6 9 _____ 3 2 5 235 9 0 3 ,8 2 8 2 ,3 8 6 1,442 3 ,0 2 4 1,868 | 1, 156

1970 _____ 3 2 8 246 8 1 4 , 0 17 2 ,5 2 0 1,497 3, 170 1,973 | 1 , 1 9 6

197 1 _____ 2 7 7 196 8 1 4, 146 2 ,5 9 6 1,549 3 ,2 5 7 2 ,0 2 2 1,235

1 97 2 _____ 3 0 7 249 5 8 4 ,2 9 6 2 , 7 18 1,577 3 ,3 6 4 2 ,1 1 6 j 1,248

1 97 3 _____ 4 14 322 9 2 4 ,5 4 6 2 ,9 0 8 1,638 3 ,5 7 0 2 ,2 7 6 | 1,293

1 97 4 _____ 3 6 6 307

J ____________

5 9 4 ,7 4 0 3 ,0 7 6 1,663 3 , 7 16

_______

2 ,4 1 2 I

____________ L .

1 ,304

7 6

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
(Millions of dollars)

Sector 36. Stone and clay products: Historical dollars

G ro ss in v e s tm e n t G ro ss s to c k s N et s t o c k '

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1947 . . . . $303 $197 $105 $ 1 ,1 4 4 $593 $551 $975 $5 18 $457

1948 . . . . 249 179 7 0 1,364 754 6 10 1, 180 6 6 7 5 13

1 94 9 _____ 2 1 0 153 5 6 1,544 889 655 1,338 784 554

1950 . . . . 23 1 173 5 8 1,743 1,041 70 1 1,509 9 12 596

1 9 5 1 . . . . 320 233 8 7 2 ,0 2 6 1,249 777 1,757 1,090 6 6 7

1 9 5 2 . . . . 275 207 6 8 2 ,2 5 7 1,424 833 1 , 9 4 7 1,229 7 17

1 9 5 3 . . . . 266 193 7 3 2 ,4 7 0 1,575 894 2 ,1 1 4 1,341 772

1 95 4 _____ 2 9 1 206 8 4 2 ,6 9 7 1,730 966 2 ,2 9 1 1,454 8 3 /

1 9 5 5 . . . . 506 36 1 145 3, 128 2 ,0 2 9 1,099 2 ,6 7 0 1,709 96 1

1956 . . . . 699 463 236 3,741 2 ,4 1 9 1,322 3 ,2 2 3 2 ,0 4 9 1,174

1957 . . . . 644 432 211 4 ,2 8 9 2 ,7 6 8 1,521 3 ,7 0 0 2 ,3 4 0 1,359

1 9 5 8 . . . 406 293 1 13 4 ,5 8 7 2 ,9 6 6 1,621 3 ,9 1 4 2 ,4 7 1 1,443

1 95 9 --------- 4 5 2 330 122 4 ,9 1 9 3, 188 1,731 4 ,1 5 5 2 ,6 2 1 1,533

I960 . . . . 42 1 305 115 5 ,2 0 3 3 ,3 7 0 1,833 4 ,3 3 9 2 ,7 2 4 1 ,6 14

1 9 6 1 . . . . 4 17 325 9 2 5 ,4 6 1 3 ,5 5 0 1,911 4 ,4 9 5 2 ,8 2 7 1 1 6 6 8

1 9 6 2 . . . . 426 320 106 5 ,7 0 4 3 ,7 0 2 2 ,0 0 2 4 ,6 3 9 2 ,9 0 5 1,733

1 9 6 3 . . . . 496 366 130 5,991 3 ,8 7 5 2 ,1 1 6 4 ,8 3 2 3 , 0 12 1,820

1 96 4 --------- 4 7 3 383 9 0 6 ,2 3 2 4 ,0 4 4 2, 188 4 ,9 8 4 3, 122 1,862

1 9 6 5 . . . . 595 456 139 6 ,5 7 6 4 ,2 6 8 2 ,3 0 8 5 ,2 4 3 3 ,2 9 3 1,949

1966 . . . . 623 49 1 131 6 ,9 3 2 4 ,5 1 5 2 , 4 17 5 ,511 3 ,4 8 6 2 ,0 2 5

1967 . . . . 600 457 143 7 ,2 5 0 4 , 7 14 2 ,5 3 6 5 ,7 3 8 3 ,6 3 0 2 ,1 0 7

1968 . . . . 549 432 1 16 7 ,5 0 0 4 ,8 7 4 2 ,6 2 5 5 ,8 9 4 3 ,7 3 5 2, 159

1 96 9 _____ 6 3 7 506 131 7 ,8 1 9 5 ,0 9 3 2 ,7 2 6 6 , 120 3 ,8 9 9 2 ,2 2 0

1 9 7 0 . . . . 629 49 1 137 8 ,1 0 9 5 ,2 8 0 2 ,8 2 9 6 ,3 1 7 4 ,0 3 3 2 ,2 8 3

1 9 7 1 . . . . 669 536 132 8 , 4 16 5 ,4 9 4 2 ,9 2 2 6 ,5 3 3 4 ,1 9 7 2 ,3 3 5

1 9 7 2 . . . . 890 724 165 8 ,9 2 2 5 ,8 8 0 3 ,0 4 2 6 ,9 5 0 4 ,5 3 4 2 ,4 1 6

1 9 7 3 . . . . 96 1 798 163 9,4 8 0 6 ,3 2 4 3, 155 7 ,4 1 6 4 ,9 2 6 2 ,4 8 9

1974 _____ 1 ,159 938 220 10,215 6 ,8 9 6 3 ,3 1 9 8 ,0 5 4 5 ,4 3 8 2 ,6 1 6

Sector 36. Stone and clay products: Constant dollars

(Millions of 1972 dollars)

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

Y ea r

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E qu i p m e n t S t r u c t u r e s

1947 _____ $ 682 $448 $233 $ 3 ,5 9 9 $ 1 ,5 8 2 $ 2 ,0 1 7 $ 2 ,9 1 9 $ 1 ,3 4 5 $ 1 ,5 7 4

1 94 8 _____ 5 1 2 372 140 3 ,9 9 9 1,897 2, 102 3 ,2 8 6 1,632 1,654

1 94 9 _____ 4 2 1 307 114 4 ,3 0 6 2, 145 2 , 16 1 3 ,5 4 6 1,839 1,707

1950 _____ 46 1 339 121 4 ,6 4 8 2 ,4 2 0 2 ,2 2 7 3 ,8 2 8 2,0 6 1 1,766

1 95 1 _____ 5 7 0 408 16 1 5 ,0 8 7 2 ,7 5 3 2 ,3 3 3 4 ,1 9 6 2 ,3 3 2 1,864

1 95 2 --------- 4 7 8 357 121 5 , 4 18 3 ,0 1 8 2 ,3 9 9 4 ,4 4 7 2 ,5 2 6 1,920

1 95 3 _____ 4 5 8 327 13 1 5 ,7 0 7 3 ,2 3 3 2 ,4 7 4 4 ,6 5 3 2 ,6 6 8 1 , 9 8 5

1 9 5 4 . . . . 497 344 153 6 ,0 1 5 3 ,4 4 4 2 ,5 7 1 4 ,8 7 7 2 ,8 0 7 2 ,0 7 0

1 9 5 5 --------- 8 4 6 582 263 6 ,6 5 2 3 ,8 7 3 2 ,7 7 8 5 ,4 2 7 3 ,1 6 4 2 ,2 6 3

1956 _____ 1 , 083 690 393 7 ,5 0 9 4 ,3 9 4 3 ,1 1 5 6, 189 3 ,6 0 5 2 ,5 8 3

1957 _____ 936 6 0 1 335 8 ,2 0 2 4 ,8 0 7 3 ,3 9 4 6 ,7 7 0 3 ,9 3 0 2 ,8 4 0

1 95 8 _____ 5 8 6 40 1 185 8 ,5 2 7 5 ,0 0 4 3 ,5 2 3 6 ,9 7 1 4 ,0 2 9 2 ,9 4 2

1 95 9 _____ 6 4 4 4 4 0 203 8 ,8 9 1 5 ,2 2 0 3 ,6 7 0 7 ,2 0 2 4 , 143 3 ,0 5 9

1960 _____ 5 9 4 402 192 9, 179 5 ,3 7 3 3 ,8 0 5 7 ,3 5 2 4 ,1 9 2 3 ,1 6 0

196 1 _____ 5 8 0 427 153 9,421 5 ,521 3 ,8 9 9 7 ,4 6 0 4 ,2 4 3 3 ,2 1 7

1962 --------- 5 9 5 42 1 173 9 ,6 4 2 5 ,6 3 0 4 ,0 1 1 7 ,5 5 6 4 ,2 6 6 3 ,290

1963 _____ 6 8 5 475 2 10 9 , 9 19 5 ,7 6 1 4 ,1 5 8 7 ,7 2 3 4 ,3 2 8 3 ,3 9 4

1964 _____ 6 3 4 491 142 10,116 5 ,881 4 ,2 3 4 7 ,8 2 2 4 ,3 9 5 3 ,4 2 6

1 96 5 _____ 7 9 1 577 214 10,449 6 ,0 6 9 4 ,3 7 9 8 ,0 6 5 4 ,5 4 0 3 ,5 2 4

1966 _____ 8 0 0 607 193 10,775 6 ,2 7 6 4 ,4 9 8 8 ,3 0 2 4 ,7 0 6 3 ,5 9 5

1967 _____ 7 4 5 544 20 1 11,033 6 ,4 1 0 4 ,6 2 3 8 ,4 6 7 4 ,7 9 8 3 ,6 6 9

1 968 --------- 6 5 4 496 157 11,184 6 ,4 8 5 4 ,6 9 9 8 ,5 2 5 4 ,8 3 2 3 ,6 9 3

1 96 9 _____ 7 2 4 562 162 11,388 6 , 6 13 4 ,7 7 4 8 ,6 3 8 4 ,9 2 3 3 , 7 14

1970 _____ 6 7 9 522 156 11,526 6 ,6 8 8 4 ,8 3 7 8 ,6 8 8 4 ,9 6 3 3 ,7 2 4

197 1 _____ 6 8 6 547 139 11,649 6 ,7 7 3 4 ,8 7 5 8 ,7 3 1 5 ,0 1 9 3 , 7 11

1 972 _____ 8 9 0 724 165 11,955 7 ,0 2 3 4 ,9 3 1 8 ,9 6 5 5 ,2 4 5 3 , 7 19

1 97 3 _____ 9 3 4 783 151 12,288 7 ,3 2 2 4 ,9 6 6 9 ,227 5 ,5 2 0 3 ,7 0 7

1 974 _____ 1 ,003 830 172 12,675 7 ,6 6 1 5 ,0 1 3 9 ,5 4 3

_______

5 ,8 3 0

_________

3 , 7 13

7 7

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 37. Primary iron and steel manufacturing: Historical dollars

(Millions of dollars)

G ro ss in v e s tm e n t

—

G ro s s s t o c k s « N e t s t o c k s

--------------------------- 1

T o t a l | E q u i p m e n t S t r u c t u r e s T o ta l

I

E q u ip m e n t I S t r u c t u r e s

I

T o ta l I E q u i p m e n t S t r u c t u r e s

1947 . . . . $581 I $343 $238 $ 6 ,5 01 $ 2 ,5 4 6 I $ 3 ,9 5 5 $ 4 ,2 3 5 I $ 1 , 7 3 9 $ 2 ,4 9 6

1 9 4 8 . . . . 805 | 532 272 6 ,9 0 2 I 2 ,8 6 7 I 4 ,0 3 4 4 ,6 8 1 I 2 ,0 9 0 2 ,5 9 0

1 94 9 _____ 5 28 I 357 17 1 7 ,0 2 8 3 ,0 2 0 I 4 ,0 0 7 4 , 8 5 1 I 

j

2 ,2 6 5 2 ,5 8 5

1950 . . . . 535 | 370 164 7, 164 3 ,1 9 4 I 3 ,9 7 0 5 ,0 3 1 I 2 ,4 5 4 2 ,5 7 6

1951 . . . . 1,218 I 765 452 7 ,9 8 8 3 ,7 7 0 I 4 ,2 1 8 5 ,8 9 7 I 3 , 0 3 8 2 ,8 5 9

1 9 5 2 . . . . 1,385 I 934 450 8 ,9 8 6 4 ,5 2 3 I 4 ,4 6 3 6 ,9 2 1 I 3 ,7 7 9 3 ,1 4 2

1 9 5 3 . . . . 1,101 I 7 14 386 9 ,7 0 6 5 ,0 6 1 | 4 ,6 4 4 7 ,6 4 5 I 4 ,2 8 2 3 ,3 6 3

1 95 4 _____ 8 13 I 548 264 1 0,1 43 5 ,4 3 6 I 4 ,7 0 7 8 ,0 6 4 | 4 ,5 9 9 3 ,4 6 5

1 9 5 5 . . . . 770 j 532 237 10,543 5 ,7 9 6 I 4 ,7 4 6 8 ,4 2 4 | 4 ,8 7 9 3 ,5 4 5

1956 . . . . 1,325 I 900 425 1 1 , 4 9 9 6 ,5 2 1 I 4 ,9 7 8 9 ,3 1 9 | 5 ,5 0 2 3 , 8 16

1957 . . . . 1,744 | 1,111 633 12,873 7 ,4 4 7 I 5 ,4 2 5 1 0,5 98 I 6 ,3 0 0 4 ,2 9 8

1 9 5 8 . . . . 1,125 | 698 426 13,622 7 ,9 4 6 I 5 ,6 7 5 1 1,2 14 | 6 ,6 4 1 4 ,5 7 3

1 95 9 _____ 8 28 I 573 254 14,063 8 ,3 0 0 j 5 ,7 6 2 1 1,4 93 I 6 , 8 16 4 ,6 7 7

I 9 6 0 . . . . 1,380 | 957 422 15,037 9 ,0 0 8 6 ,0 2 8 1 2,285 | 7 ,3 3 5 4 ,9 4 9

1 9 6 1 . . . . 998 I 700 298 15,603 9 ,4 2 2 I 6 , 180 1 2,6 44 | 7 ,5 4 9 5 ,0 9 4

1 9 6 2 . . . . 9 18 I 702 2 15 16,055 9,7 9 6 6 ,2 5 9 12,877 | 7 ,7 2 1 5 , 155

1 9 6 3 . . . . 1,137 | 820 3 17 16,686 1 0 , 2 3 9 |* 6 ,4 4 7 13,2 85 I 7 ,9 7 0 5 ,3 1 4

1 964 _____ 1 ,587 | 1,223 364 17,724 11,034 | 6 ,6 8 9 14,097 | 8 ,5 8 2 5 ,5 1 4

1 9 6 5 . . . . 1,764 | 1,337 426 18,888 1 1 , 8 8 9 6 ,9 9 9 15,033 I 9 ,2 6 4 5 ,7 6 9

1 9 6 6 . . . . 2 ,1 1 1 | 1,653 457 2 0 ,3 5 0 13,007 I 7 ,3 4 2 16,265 I 10,220 6 ,0 4 4

1967 . . . . 2 ,3 4 4 | 1,854 490 2 2 ,0 0 0 14,280 7 , 7 19 17,6 72 | 11,330 6 ,3 4 2

1 9 6 8 . . . . 2 ,3 2 8 | 1,851 477 2 3,5 91 15,508 I 8 ,0 8 2 19,001 I 12,387 6 ,6 1 3

1 9 6 9 --------- 2 ,0 7 2 j 1,602 470 2 4 ,8 8 3 16,447 I 8 ,4 3 5 2 0 ,0 0 9 | 13,144 6 ,8 6 5

1970 . . . . 1,900 | 1,500 399 2 5 ,9 6 2 17,250 8 , 7 12 2 0 ,7 8 0 | 13,749 7 ,0 3 1

1 9 7 1 . . . . 1,549 I 1 , 2 18 330 2 6 ,6 4 3 17,732 I 8 ,9 1 1 2 1 ,1 3 4 | 14,019 7 ,1 1 5

1 9 7 2 . . . . 1,417 j 1, 157 259 2 7 ,1 41 18,116 I 9 ,0 2 5 2 1 ,2 9 4 | 14, 180 7 ,1 1 3

1 9 7 3 . . . . 1,649 i 1,364 284 2 7 ,8 1 6 18,666 9 ,1 5 0 2 1 ,6 2 2 I 14,497 7 , 125

1 97 4 _____ 2 ,5 1 1 | 2 ,0 7 7 434 2 9 ,2 9 2 1 9,884 j

____________ L

9 ,4 0 8 2 2 ,7 4 6 |

_________ L

1 5,472 7 ,2 7 3

Sector 37. Primary iron and steel manufacturing: Constant dollars

(Millions of 1972 dollars)

Y ea r

r

G ro ss in v e s tm e n t

T o ta l E qu i p m e n t S t r u c t u r e s T o t a l

1947 . . . . $ 1 , 3 4 5 $8 17 $528 $ 2 5 ,4 2 4

1 94 8 _____ 1 ,701 1, 157 544 2 5 ,4 7 6

1 9 4 9 _____ 1 ,093 743 350 2 4 ,9 4 2

1950 _____ 1 , 083 740 343 2 4 ,4 2 3

1 95 1 _____ 2 ,2 0 4 1,367 837 2 5 ,0 5 5

1 95 2 _____ 2 ,4 4 4 1,639 804 2 5 ,9 6 3

1 95 3 _____ 1 ,922 1,232 690 2 6 ,3 8 7

1 95 4 _____ 1 ,410 928 48 1 2 6 ,3 41

1 95 5 _____ 1 ,304 872 43 1 26,2 31

1 956 _____ 2 ,0 5 1 1,343 708 2 6 ,9 0 5

1957 _____ 2 ,5 6 9 1,565 1,004 2 8 ,1 3 0

1 9 5 8 _____ 1 ,656 957 699 2 8 ,4 7 0

1 959 _____ 1 ,199 775 424 2 8 ,3 7 4

1960 _____ 1 ,964 1,260 704 2 9 ,0 5 2

196 1 _____ 1 ,418 921 496 2 9 , 180

1 96 2 _____ 1 ,277 924 353 2 9, 152

1 9 6 3 _____ 1 ,576 1,064 511 2 9 ,3 9 9

1 96 4 _____ 2 , 146 1,568 578 3 0, 185

1 96 5 _____ 2 ,3 4 8 1,692 656 3 1 ,1 4 3

1966 _____ 2 , 7 13 2 ,0 4 1 672 3 2 ,4 3 5

1 9 6 7 _____ 2 ,8 9 7 2 ,2 0 7 690 3 3 ,8 9 0

1 96 8 _____ 2 ,7 7 2 2 , 128 644 3 5 ,2 0 5

1 96 9 _____ 2 ,3 6 7 1,780 587 3 6 ,1 0 4

1 9 7 0 _____ 2 ,0 5 1 1,596 454 3 6 ,6 76

1 97 1 _____ 1 ,591 1,243 348 3 6 ,7 7 2

1 97 2 _____ 1 , 4 17 1 , 1 5 7 259 3 6 ,6 6 8

1 97 3 _____ 1 ,588 1,325 263 3 6 ,7 0 4

1 974 _____

_______

2 ,1 7 7 1,838 339 3 7 ,2 8 5

G ro ss s to c k s

E qu ip m e n t |

$ 7 ,6 6 0 |

8 ,1 2 9 |

8 ,2 0 8 |

8 , 3 10 

9 ,0 6 8 

1 0 , 1 2 8 | 

1 0 , 8 0 6 | 

11,206

11,571

12,417

13,487

13,940

14,191

14,890 

15,198 

15,448 

15,771 

16,525

17,331

18,421

19,6 ^4

2 0 ,7 0 5

2 1 ,4 0 7

21,901 

2 2 ,0 1 8 

2 2 ,0 2 8 

2 2 , 184 

2 2 ,8 2 4

1 "

N et s to c k s

S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

$ 1 7 ,7 6 3 $ 1 5 , 9 2 5 $ 5 ,0 5 5 $ 1 0 ,8 7 0

17,347 16,233 5 ,6 4 2 10,591

1 6,733 15,963 5 ,8 2 7 10,136

1 6,112 15,723 6 ,0 2 6 9,6 9 6

15,987 16,644 6 ,8 6 7 9 ,7 7 7

15,835 17,826 7 ,9 7 8 9 ,8 4 8

15,581 18,497 8 ,6 6 5 9 ,8 3 1

15,135 18,666 9 ,0 3 2 9 ,6 3 3

14,660 18,739 9 ,3 2 2 9 , 4 17

14,487 19,564 10,054 9 ,5 1 0

14,642 2 0 ,8 9 2 10,962 9 ,9 2 9

1 4,529 2 1 ,2 7 5 11,206 1 0,069

14, 183 2 1 ,1 7 7 11,216 9 ,9 6 1

14, 162 2 1 ,8 1 9 11,660 1 0,158

13,981 2 1 ,8 7 6 11,706 10, 169

13,703 2 1 ,7 6 0 11,705 1 0,055

13,627 2 1 ,9 1 6 11,799 10,116

13,660 2 2 ,6 11 12,356 10,254

13,811 2 3 ,4 7 4 12,996 10,477

1 4,014 2 4 ,6 6 7 13,948 10,718

14,266 2 6 ,0 0 4 15,029 10,974

14,499 2 7 , 172 15,992 | 1 1,179

14,697 2 7 ,8 8 7 16,567 1 1,319

14,775 2 8 ,2 3 9 16,924 | 11,315

14,753 2 8 ,0 8 4 16,891 | 1 1,192

14,640 27,7 11 16,740 | 10,970

14,519 2 7 ,4 6 4 1 6,722 | 10,741

14,460 2 7 ,7 5 8 17, 180 10,578

7 8

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 38. Primary nonferrous metals manufacturing: Historical dollars

(Millions of dollars)

-------------------------------------------------------------------------------- - ■

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k *

T o ta l

— 

E q u i p m e n t S t r u c t u r e s

—

T o ta l

r

E q u ip m e n t I S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1 9 4 7 . . . . $ 128 $9 1

—

$37 $696 $400 $296 $6 12 $350 $26 1

1948 . . . . 2 1 1 159 5 1 896 551 I 344 798 491 306

1 9 4 9 _____ 1 5 4 117 3 7 1,037 659 | 377 92 1 584 336

1 9 5 0 . . . . 136 10 1 3 4 1,158 749 408 1,021 658 363

1 9 5 1 . . . . 265 182 8 2 1,406 918 I 487 1,245 807 437

1 9 5 2 . . . . 418 24 1 177 1,805 1,143 66 1 1 ,6 13 1,008 6 05

1 9 5 3 . . . . 334 2 16 1 18 2 ,1 1 5 1,339 I 775 1,886 1,174 7 1 1

1 95 4 _____ 2 2 1 164 5 7 2 ,3 0 7 1,478 | 829 2 ,0 3 4 1,279 755

1955 . . . . 264 192 7 1 2 ,5 3 6 1,639 I 896 2 ,2 1 4 1,403 811

1 9 5 6 . 42 1 3 13 107 2 ,9 1 4 1,914 | 999 2 ,5 3 9 1 7 6 5 / 902

1 9 5 7 538 423 159 3 ,4 5 0 2 ,2 9 6 | 1,153 3 , 0 16 1,972 1 , 0 4 3

1 9 5 8 452 285 166 3 ,8 4 2 2 ,5 2 7 I 1,314 3 ,3 3 7 2, 149 1, 188

1 95 9 --------- 2 9 1 216 7 5 4 ,0 6 4 2 ,6 8 0 | 1,383 3 ,4 8 0 2 ,2 4 1 1,239

1 9 6 0 266 204 6 1 4 ,2 4 8 2 ,8 0 9 | 1,438 3 ,581 2 ,3 0 7 1,274

1 9 6 1 263 197 6 6 4 , 4 16 2 ,9 2 0 I 1,496 3 ,6 6 3 2 ,3 5 2 1,311

1 9 6 2 28 1 220 6 0 4 ,5 8 6 3 ,0 3 9 1,547 3 ,7 4 5 2 ,4 0 5 1,339

1 9 6 3 349 27 1 7 7 4 ,8 0 8 3 ,1 9 3 I 1 ,6 14 3 ,8 7 8 2 ,4 9 6 1,382

1 96 4 _____ 3 6 6 292 7 4 5 ,0 2 8 3 , 3 5 1 | 

j

1,677 4 , 0 13 2 ,5 9 3 1,419

196 5 555 436 1 19 5 ,4 1 9 3 ,6 3 6 1,782 4 ,3 2 0 2 ,8 2 3 1,497

1 9 6 6 740 582 157 5 ,9 7 5 4 ,0 5 1 I 1,923 4 ,7 9 4 3, 184 1,610

1 9 6 7 897 672 225 6 ,6 7 1 4 ,5 4 1 2 , 130 5 ,4 0 6 3 ,6 1 9 1,786

1 9 6 8 863 65 1 21 1 7 ,3 1 6 4 ,9 9 6 2 ,3 1 9 5 ,9 5 9 4 , 0 14 1 , 9 4 4

1 9 6 9 1 1 .. 825 653 172 7 ,9 0 6 5 ,4 3 9 2 ,4 6 7 6 ,4 5 0 4 ,3 9 2 2 ,0 5 7

9 1 3 696 217 8 ,5 6 7 5 ,9 1 1 | 2 ,6 5 6 7 ,0 0 4 4 ,7 9 3 2 ,2 1 0

7 1 1 550 160 9,0 0 7 6 ,2 2 2 I 2 ,7 8 4 7 ,3 2 6 5 ,0 2 4 2 ,3 0 2

1 9 7 2 798 63 1 166 9 ,5 1 3 6 ,5 9 8 | 2 , 9 15 7 ,7 1 0 5 ,3 1 5 2 ,3 9 5

756 600 155 9 ,9 5 8 6 ,9 2 9 3 ,0 2 8 8 ,0 2 2 5 ,5 5 0 2 ,4 7 1

1 9 7 4 . . 1 . 1,336 993 342 10,961 7 ,6 3 6 I

_L

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

1

Sector 38. Primary nonferrous metals manufacturing: Constant dollars

(Millions of 1972 dollars )

Y ea r

G ro s s in v e s tm e n t G ro ss s to c k s

—

N et s to c k s

T o ta l E qu i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1947 _____ $ 305 $223 $8 1 $ 2 ,1 7 6 $ 1 ,0 8 0 $ 1 ,0 9 5 $ 1 ,8 7 5 $934 $940

1 9 4 8 _____ 4 5 6 354 102 2 ,5 9 4 1,411 1, 182 2 ,2 5 6 1,237 1,018

1 94 9 _____ 3 2 3 248 7 5 2 ,8 7 4 1,632 1,242 2 ,4 9 0 1,422 1,067

1950 _____ 2 7 8 207 7 1 3 ,1 0 4 1,806 1,297 2 ,6 6 6 1,555 1,110

1 95 1 _____ 4 8 5 332 153 3 ,5 3 5 2 ,0 9 9 1,435 3 ,0 3 6 1,802 1,234

1 95 2 _____ 7 4 6 431 315 4 ,2 2 0 2 ,4 8 4 1,735 3 ,6 5 0 2 ,1 3 2 1,517

1 9 5 3 . . . . 58 9 378 2 1 1 4 ,7 3 8 2 ,8 0 6 1,931 4 ,0 8 5 2 ,3 9 3 1,692

1 95 4 _____ 3 8 2 278 103 5 ,0 3 6 3 , 0 16 2 ,0 1 9 4 ,2 8 9 2 ,5 3 5 1,754

1 95 5 _____ 4 5 1 321 129 5 ,3 8 6 3 ,2 5 5 2 ,1 3 1 4 ,5 4 2 2 ,7 0 3 1,839

1956 _____ 6 4 7 467 179 5 ,9 1 5 3 ,6 2 5 2 ,2 9 0 4 ,9 7 0 2 ,9 9 9 1,970

1957 _____ 8 5 6 603 253 6 ,6 3 6 4 ,1 1 4 2 ,5 2 2 5 ,5 8 2 3 , 4 11 2 ,1 7 1

1 95 8 _____ 6 6 4 39 1 272 7 ,1 4 7 4 ,3 7 6 2 ,7 7 1 5 ,9 7 2 3 ,5 8 6 2 ,3 8 6

1 959 _____ 4 17 292 125 7 ,3 9 3 4 ,5 2 1 2 ,8 7 1 6 ,0 9 0 3 ,6 4 2 2 ,4 4 8

1960 _____ 37 1 2 6 8 102 7 ,5 7 0 4 ,6 2 5 2 ,9 4 4 6 ,1 3 8 3 ,6 5 5 2 ,4 8 2

196 1 _____ 3 6 9 259 110 7 ,7 2 3 4 ,7 0 0 3 ,0 2 3 6 ,161 3 ,6 4 2 2 ,5 1 9

1 962 _____ 3 8 8 289 9 9 7 ,8 6 9 4 ,7 8 2 3 ,087 6 , 1 8 3 3 ,641 2 ,5 4 1

1 963 _____ 4 7 7 352 124 8 ,0 7 7 4 ,9 0 4 3 ,1 7 2 6 ,2 7 3 3 ,6 8 8 2 ,5 8 4

1 964 _____ 4 9 2 374 1 18 8 ,2 7 3 5 ,0 2 5 3 ,2 4 7 6 ,3 5 9 3 ,7 4 3 2 , 6 15

1 9 6 5 _____ 7 3 5 552 182 8 ,6 8 3 5 ,301 3 ,3 8 2 6 ,6 7 1 3 ,9 6 4 2 ,7 0 7

1966 _____ 9 5 0 7 19 231 9,2 8 4 5 ,7 2 4 3 ,5 6 0 7 ,1 8 1 4 ,3 4 0 2 ,8 4 0

1 9 6 7 _____ 1 ,117 800 317 10,030 6 ,2 1 1 3 , 8 18 7 ,8 3 7 4 ,7 8 3 3 ,0 5 4

1 96 8 _____ 1 ,034 749 285 10,672 6 ,6 3 3 4 ,0 3 9 8 ,3 8 8 5, 158 3 ,2 3 0

1 96 9 _____ 9 3 8 725 212 11,200 7 ,0 1 9 4 ,1 8 1 8 ,8 2 0 5 ,4 9 4 3 ,3 2 5

1970 _____ 9 8 0 733 246 1 1,753 7 ,4 0 1 4 ,3 5 1 9 ,2 7 1 5,8 2 1 3,4 5 0

197 1 _____ 7 3 0 56 1 169 12,038 7 ,6 0 0 4 ,4 3 8 9 ,4 4 8 5 ,9 5 7 3 ,4 9 0

1 97 2 _____ 7 9 8 63 1 166 12,373 7 ,8 5 7 4 , 5 15 9 ,6 7 1 6, 147 3 ,5 2 3

1 97 3 _____ 7 2 7 583 143 12,619 8 ,0 5 6 4 ,5 6 3 9 ,7 9 8 6 ,2 7 0 3 ,5 2 8

1 974 _____

_______

1 ,155 887 268 13,275

_______

8 ,5 4 7 4 ,7 2 8

_________

1 0,330 6 ,6 7 6 3 ,6 5 3

7 9

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 39. Metal containers: Historical dollars

(Millions of dollars)

—

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l E q u i p m e n t I S t r u c t u r e s T o ta l

1

E q u i p m e n t j S t r u c t u r e s T o ta l Equi p n e n t S t r u c t u r e s

1 9 4 7 . . . . $25

-------------------------------------p -

$19 | $ 5 $164 $94 $70 $122 $74 $48

1 948 _____ 3 1 25 I 6 187 114 | 7 3 145 9 4 5 1

1 949 _____ 3 4 2 7 | 6 2 13 136 7 6 170 115 5 4

1950 . . . . 4 4 33 | 1 1 249 165 8 4 204 142 6 2

1951 . . . . 4 4 3 2 1 1 285 193 I 9 2 238 167 7 1

1 9 5 2 . . . . 3 2 2 8 4 310 216 I 9 3 259 186 7 2

1 9 5 3 . . . . 3 7 28 I 9 338 238 I 9 9 283 205 7 8

1 95 4 _____ 5 7 48 | 8 386 2 8 1 | 104 326 243 8 3

1 9 5 5 . . . . 5 5 10 431 3 19 | 1 1 1 365 275 9 0

1956 . . . . 5 2 44 | 7 472 356 1 15 399 305 9 4

1 9 5 7 . . . . 5 4 43 I 1 1 5 14 3 9 1 I 123 433 33 1 102

1 9 5 8 . . . . 6 1 40 | 2 0 563 422 I 140 472 353 119

1 95 9 _____ 5 8 4 4 I 13 607 456 151 506 377 129

I 9 6 0 . . . . 7 4 59 | 14 665 502 I 162 552 412 140

1 9 6 1 . . . . 5 2 4 4 8 700 532 I 168 575 430 144

1 96 2 _____ 6 6 54 I 1 2 747 569 I 178 608 455 152

1 9 6 3 . . . . 7 3 6 4 9 798 6 13 I 184 646 488 157

1 964 _____ 8 0 70 | 9 853 6 6 1 | 191 687 525 162

1 96 5 _____ 8 7 7 6 | 10 9 1 1 7 12 I 198 732 565 167

1966 . . . . 1 1 1 9 1 I 19 99 1 775 I 2 16 798 6 16 18 1

1967 . . . . 1 14 100 | 14 1,071 843 I 228 864 673 191

1968 . . . . 134 1 12 I 2 2 1,169 922 I 247 947 740 207

1 969 _____ 1 4 9 123 | 2 6 1,278 1,008 | 270 1,040 8 14 226

1970 _____ 1 5 6 135 2 0 1,391 1,104 287 1, 136 896 239

1 9 7 1 . . . . 140 1 3 1 I 9 1,486 1,194 292 1,211 970 24 1

1972 _____ 1 4 7 133 I 13 1,584 1,283 30 1 1,288 1,042 246

1 9 7 3 . . . . 153 143 I 10 1,686 1,379 I 307 1,366 1,118 248

1 97 4 _____ 2 0 4 186 |

_____________________ I___

18 1,835

________________

1 ,515 I

_____________________L.

3 2 0 1,490 1,232 257

Sector 39. Metal containers: Constant dollars

Y ear

G r o ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s

I

T o ta l Equi p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1 94 7 _____ $ 6 4 $53 $ 1 1 $591 | $28 1 $310 $418 $215 $202

1 9 4 8 . . . . 7 3 6 1 12 633 | 325 307 462 260 20 1 1 9 4 9 . . . . 7 6 6 2 13 678 | 372 305 507 306 20 1

1950 _____ 9 4 7 1 2 2 742 | 429 313 569 358 210

1 9 5 1 . . . . 8 4 6 2 2 1 797 | 476 320 6 1 9 400 219

1 9 5 2 . . . . 6 0 5 2 7 827 | 5 14 312 644 430 213

1 9 5 3 . . . . 6 7 5 1 1 5 863 | 549 313 674 456 217

1 9 5 4 . . . . 103 8 8 15 935 | 620 314 738 518 220

1 955 _____ 9 5 7 7 18 996 | 678 317 79 1 565 226 1956 _____ 8 1 6 9 12 1,042 | 727 315 827 600 226 1 9 5 7 . . . . 8 1 6 3 17 1,087 | 767 319 860 627 232

1958 ______ 9 1 5 7 3 3 1,139 | 800 339 899 644 255 1 9 5 9 . . . . 8 5 6 2 2 2 1,184 | 836 348 930 664 266

1960 _____ 1 0 5 8 1 2 4 1,247 | 887 360 977 697 279

1 96 1 _____ 7 3 5 9 14 1,274 | 9 12 362 988 706 282

1 9 6 2 _____ 9 2 7 1 2 0 1,316 | 946 370 1,015 723 29 1

1 9 6 3 . . . . 9 9 8 4 14 1,362 | 987 374 1,045 750 295

1 96 4 _____ 1 0 7 9 3 1 4 1,411 | 1,032 378 1,081 783 298

1 96 5 _____ 1 1 3 9 8 15 1,462 | 1,079 383 1,120 8 18 302

1 9 6 6 . . . . 142 113 2 9 1,539 | 1, 136 403 1, 185 865 320

1 9 6 7 . . . . 140 1 19 2 1 1,610 | 1,195 414 1,245 915 329

1 9 6 8 . . . . 159 129 3 0 1,697 | 1,262 435 1,321 974 347

1 9 6 9 _____ 1 6 9 137 3 2 1,793 | 1,335 458 1,405 1,038 366

1970 _____ 1 6 6 143 2 3 1,883 | 1,411 472 1,481 1,105 376

197 1 _____ 143 1 3 3 9 1,949 | 1,477 472 1,531 1,159 37 1

1 9 7 2 . . . . 147 133 1 3 2 ,0 1 7 | 1,541 475 1,5 8 1 1,211 370

1 97 3 _____ 1 4 8 139 9 2 ,0 8 5 | 1,609 475 1,629 1,263 365

1974 _____ 179 1 6 5

_____________________

14 2 , 1 8 0 | 

________________I____

1 ,702 478

_____________________

1 ,702 1,337 364

8 0

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 40. Heating and plumbing apparatus, fabricated metal products: Historical dollars

G ro s s in v e s tm e n t G ro ss s to c k s Met s to c k s

T o ta l E qu i p m e n t S t r u c t u r e s T o ta l Equi pm ent S t r u c t u r e s T o ta l Equ i p m e n t S t r u c t u r e s

1 9 4 7 ______________

1 9 4 8 ______________

1 9 4 9 ______________

$112

6 2

6 9

$67

4 1

4 6

$44 2122

$414

465

523

$194

229

269

$220

235

253

$350

396

449

$169 20 1

237

$180

195 211

1950 _____

1 95 1 ______________

1 95 2 ______________

1 9 5 3 ______________

1 954 ------------------------

8 4

107 

1 14 

144 

136

5 1

6 2

7 8

9 4

8 7

3 2

4 4

3 6

5 0

4 8

595 

690 

790 

9 18 

1,035

315

370

440

523

598

280

319

349

394

437

514 

599 

687 

8 0 1 

903

276

323

383

455

516

237

275

304

346

386

1 9 5 5 ------------------------

1 956 ---------

195 7 _____

1 95 8 ------------------------

1 95 9 ------------------------

1 6 4

198

170

162

154

9 4 110 112 102

105

7 0 88

5 7

5 9

4 8

1, 179 

1,352 

1,496 

1,628 

1,747

676

767

858

935 1,012

502

585

637

692

734

1,028 1 , 180 

1,299 

1,402 

1,490

579

654

725

781

835

448

526

573

620

655

1960 _____

1 96 1 _____

1 96 2 ------------------------

1 96 3 ------------------------

1 96 4 ------------------------

1 4 0

125

149

152

173

9 9

8 7 102

107 122

4 1

3 8

4 6

4 5

5 1

1,847

1,927

2 ,0 2 4

2 ,1 1 8

2 ,2 2 6

1,076 

1 , 1 2 3 

1,179 

1,234 

1,298

7 7 1 

804 

844 

883 

928

1,558 

1,603 

1,665 

1,724 

1 , 7 98

875 

898 

931 

963 

1,006

682 

705 

734 

7 6 1 

792

1 965 ------------------------

1 966 ---------

1 967 ---------

1 9 6 8 ______________

1 96 9 ------------------------

2 1 4

225

297

288

306

142

153

193 200

198

7 1 

7 1 

104 

87 

108

2 ,3 6 8

2 ,5 1 4

2 ,7 2 7

2 ,9 2 3

3 ,1 3 2

1,375 

1,458 

1,576 

1,697 1,8 10

992 

1,055 

1 , 1 5 0 

1,226 

1,322

1,906 2,0 18 

2 ,1 9 5 

2 ,3 5 5 

2 ,5 2 5

1,063 1, 128 

1,227 

1,329 

1,422

842 

889 

967 

1,026 1,102

1970 ---------

1 97 1 ---------

1 9 7 2 ------------------------

1 9 7 3 ______________

1 9 7 4 ______________

3 1 4

299

370

542

486

226 211

253

379

333

87 

87 1 16 

163 

152

3 ,341 

3 ,5 2 8 

3 ,7 7 7 

4 , 190 

4 ,5 3 9

1,946 

2 ,0 6 2 

2 ,2 1 4 

2 ,4 8 6 

2 ,7 0 6

1,395

1,465

1,562

1,704

1,832

2 ,6 9 3

2 ,8 3 7

3 ,041

3 ,4 0 7

3,7 0 1

1,537 

1,630 

1,757 2,00 1 

2 ,1 8 8

1, 156 

1,206 

1,284 

1,405 

1,512

Sector 40. Heating and plumbing apparatus, fabricated metal products: Constant dollars

(Millions of 1972 dollars)

Y ea r

G ro ss in v e s tm e n t

___________________________________________________________

G ro ss s to c k s

__________________________

—

N et s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1947 _____ $ 251 $ 15 1 $99 $ 1 ,2 5 2 $475 $777 $ 1 ,0 0 0 | $407 $593

1948 _____ 1 2 8 8 7 4 1 1,339 545 793 1,080 | 470 609

1 94 9 _____ 1 3 9 9 3 4 6 1,436 621 8 14 1,168 | 536 63 1

1950 _____ 1 6 7 9 9 68 1,56 1 703 858 1,279 | 605 674

195 1 --------- 1 8 9 107 8 1 1,708 792 915 1,408 | 677 73 1

1 95 2 _____ 1 9 4 130 6 4 1,856 90 1 955 1,535 | 765 770

1 95 3 _____ 2 4 5 156 8 9 2 ,0 5 1 1,031 1, 0 2 0 1,706 | 873 833

1 95 4 _____ 2 2 9 14 1 88 2 ,2 2 5 1,140 1 , 0 8 4 1,853 | 958 894

1 95 5 _____ 2 7 7 148 128 2 ,4 4 1 1,252 1 , 1 8 9 2 ,0 4 0 | 1 , 0 4 4 995

1956 _____ 3 0 3 157 146 2 ,6 7 9 1,366 1,312 2 ,2 4 5 | 1 ,13 1 1,113

1 95 7 _____ 2 4 3 152 9 1 2 ,8 5 2 1,470 1 ,3 8 1 2 ,3 7 9 | 1,205 1,174

1 95 8 _____ 2 3 4 137 9 7 3,011 1,554 1,457 2 ,4 9 6 | 1,257 1,239

1 959 _____ 2 1 9 139 7 9 3, 149 1,633 1,515 2 ,5 8 8 j 1,302 1,285

1960 _____ 1 9 6 126 6 9 3 ,2 5 5 1,691 1,563 2 ,6 4 6 | 1,327 1,319

196 1 _____ 1 7 3 1 10 6 3 3 ,3 3 0 1,724 1,605 2 ,6 7 4 | 1,329 1,345

1 96 2 _____ 2 0 6 130 7 5 3 ,4 2 8 1,768 1,659 2 ,7 2 6 j 1,345 1,3 8 1

1 96 3 _____ 2 0 8 136 7 2 3 ,5 1 9 1,809 1,709 2 ,7 7 4 | 1,36 1 1 , 4 12

1 964 _____ 2 3 4 153 8 1 3 ,6 2 8 1,860 1,768 2 ,8 4 0 | 1,391 1,449

1 965 _____ 2 8 5 175 110 3 ,7 7 9 1,925 1,853 2 ,9 5 1 | 1» 4 3 8 1,512

1966 _____ 2 9 0 185 104 3 ,9 2 7 1 , 9 9 5 1,932 3 ,0 5 9 | 1,492 1,567

1967 _____ 3 7 1 224 146 4 ,1 5 0 2 ,0 9 8 2 ,0 5 1 3 ,2 4 2 | 1,582 1,660

1 96 8 _____ 3 4 3 225 1 18 4 ,3 3 7 2 ,1 9 8 2 ,1 3 9 3 ,3 9 0 | 1,669 1,721

1 9 6 9 _____ 3 4 9 2 16 133 4 ,5 2 3 2 ,2 8 4 2 ,2 3 9 3 ,5 3 5 I 1,741 1,793

1970 _____ 3 3 5 236 9 9 4 ,6 8 8 2 ,3 8 6 2 ,3 0 2 3 ,6 5 8 | 1,829 1,828

197 1 _____ 3 0 6 214 9 2 4 ,8 1 7 2 ,4 6 2 2 ,3 5 4 3 ,7 4 3 I 1,890 1,853

1 97 2 _____ 3 7 0 253 1 16 5 ,0 0 1 2 ,5 7 5 2 ,4 2 6 3 ,8 8 3 I 1 , 9 8 4 1,898

1973 _____ 5 2 3 37 1 151 5 ,3 3 0 2 ,8 0 1 2 ,5 2 9 4 ,1 6 7 | 2 ,1 9 1 1 , 9 7 6

1974 _____ 4 2 0

_______

3 0 0 1 19 5 ,5 4 8 2,9 5 1 2 ,5 9 6

_________

4 ,3 3 6 | 2 , 3 17 2 ,0 1 8

Digitized 

81

for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 41. Screw machine products: Historical dollars

(Millions of dollars)

Y e a r

G ro s s in v e s tm e n t G ro ss s to c k s N e t s to c k s

T o ta l E qu i p m e n t S t r u c t u r e s

r

T o ta l

|

E qu i p m e n t S t r u c t u r e s T o ta l E qu i p m e n t S t r u c t u r e s

1 94 7 _____ $ 9 4 $67 $27

I

$497 $323 $174 $429 $282 $146

1 9 4 8 _____ 8 2 6 0 21 569 | 376 192 492 328 163

1 9 4 9 _____ 7 0 5 0 19 627 I 418 208 541 362 178

1950 --------- 1 1 1 7 6 3 5 725 I 485 240 628 419 208

1 95 1 _____ 115 8 5 3 0 827 | 560 266 7 15 482 233

1 95 2 _____ 120 8 2 3 8 931 | 630 300 803 538 265

1 95 3 _____ 1 3 3 102 3 1 1,045 | 7 17 327 900 6 10 290

1 95 4 --------- 1 1 9 9 8 20 1,143 I 798 344 978 673 304

1 95 5 _____ 1 4 8 106 4 1 1,266 | 884 382 1,079 740 338

1956 _____ 1 9 2 145 4 6 1,429 | 1,004 424 1,2 18 841 377

1957 --------- 2 0 3 164 3 8 1 ,599 | 1,140 459 1,361 954 407

1 958 _____ 1 17 7 8 3 8 1,680 | 1, 186 493 1 , 4 12 976 435

1 9 5 9 _____ 1 3 4 104 3 0 1,7 7 3 I 1,253 520 1,473 1,017 456

1 9 6 0 _____ 1 2 3 9 4 2 8 1,849 | 1,305 544 1,516 1,043 473

196 1 _____ 9 1 6 9 21 1,888 I 1,326 56 1 1,521 1,038 482

1 96 2 _____ 1 3 2 10 1 3 0 1,960 | 1,373 587 1,561 1,061 499

1 963 _____ 145 11 1 3 3 2 ,0 3 9 | 1,423 6 15 1,608 1, 0 8 8 5 19

1 96 4 --------- 2 3 9 177 6 2 2 ,2 0 5 I 1,533 672 1,743 1, 177 565

1 96 5 _____ 2 7 5 207 68 2 ,4 0 0 | 1,667 733 1,907 1,290 6 16

1966 _____ 2 7 5 217 5 7 2 ,5 8 9 | 1,805 783 2 ,0 6 4 1,408 655

1967 _____ 2 3 9 192 4 7 2 ,7 3 5 I 1,913 821 2 , 177 1,495 682

1968 _____ 2 0 8 170 3 8 2 ,8 4 3 I 1,993 850 2 ,2 5 2 1,554 698

1 9 6 9 _____ 3 6 4 278 8 5 3 ,1 0 0 | 2 , 176 924 2 ,4 7 7 1 ,7 16 760

1970 _____ 2 5 2 195 5 6 3 ,2 3 8 | 2 ,2 7 0 968 2 ,5 7 9 1,787 791

197 1 _____ 2 0 7 166 4 1 3 ,3 2 5 | 2 ,3 3 0 995 2 ,6 3 0 1,824 806

1 97 2 _____ 2 9 2 249 4 2 3 ,4 9 0 | 2 ,4 6 8 1,021 2 ,7 5 9 1,939 820

1 97 3 _____ 3 9 4 325 68 3 ,7 5 1 | 2 ,6 7 8 1,073 2 ,9 8 1 2, 122 859

1 97 4 _____ 5 1 3 388 124 4 ,1 2 4 I 2 ,9 4 6 1, 178 3 , 3 11 2 ,3 5 9 952

Sector 41. Screw machine products: Constant dollars

(Millions of 1972 dollars)

Y e a r

G ro s s in v e s tm e rfc G ro ss s to c k s N et s to c k s

T o ta l E qu i p m e n t S t r u c t u r e s T o ta l E qu i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1 94 7 _____ $ 234 $174 $59 $ 1 ,5 0 0 $877 $623 $ 1 ,2 4 5 $753 $492 1948 . . . . 188 144 4 3 1,647 997 649 1,374 856 5 17 1 9 4 9 . . . . 153 1 12 4 0 1 , 7 5 8 1, 085 673 1,462 923 539

1950 _____ 2 3 2 159 7 3 1,945 1,216 729 1,623 1,030 592 1 9 5 1 . . . . 217 162 5 5 2 ,1 1 5 1,348 767 1,761 1,133 1 9 5 2 . . . . 2 17 149 6 7 2 ,2 7 9 1,461 8 17 1,891 1,215 675 1 9 5 3 . . . . 239 183 5 5 2 ,4 6 0 1,603 856 2 ,0 3 3 1,323 7 1 0 1954 . . . . 210 173 3 7 2 ,6 0 5 1,728 877 2 ,1 3 8 1 ,4 12 725

1 9 5 5 _____ 2 5 6 181 7 5 2 ,7 8 7 1,852 935 2 ,2 7 8 1,500 778 1956 . . . . 297 220 7 7 3 ,0 0 3 2 ,0 0 7 995 2 ,4 5 0 1,619 83 1 1 9 5 7 . . . . 296 235 6 1 3 ,2 0 9 2 ,1 6 9 1 , 0 3 9 2,6 11 1,742 868 1 9 5 8 . . . . 17 3 1 1 1 6 2 3 ,2 8 5 2 ,1 9 9 1,085 2 ,6 3 7 1,733 904 1 9 5 9 . . . . 193 142 5 0 3 ,3 7 1 2 ,2 5 2 1 ,119 2 ,6 7 5 1,747 927

1 9 6 0 _____ 173 1 2 6 4 7 3 ,4 2 8 2 ,2 7 9 1, 149 2 ,6 8 4 1,738 945 1 9 6 1 . . . . 128 9 2 3 5 3 ,4 3 0 2 ,2 6 2 1 , 1 6 7 2 ,6 4 0 1,689 95 1 1 9 6 2 . . . . 183 133 4 9 3 ,4 7 5 2 ,2 7 6 1,199 2 ,6 4 4 1,675 96 9 1 9 6 3 . . . . 20 1 147 5 4 3 ,5 2 8 2 ,2 9 4 1,234 2 ,6 6 0 1,671 989 1 9 6 4 . . . . 329 230 9 8 3 ,7 0 0 2 ,3 8 7 1,312 2 ,7 9 9 1,747 1,052

1 96 5 _____ 3 6 6 262 104 3 ,9 0 0 2 ,5 0 5 1,395 2 , 9 7 0 1,851 1,118 1 9 6 6 . . . . 353 268 8 4 4 ,0 7 9 2 ,6 2 3 1,455 3 ,1 2 0 1, 957 1,162 1 9 6 7 . . . . 296 229 6 7 4 ,1 9 5 2 ,6 9 7 1,497 3 , 2 0 8 2,021 1 , 1 8 7 1 9 6 8 . . . . 243 192 5 1 4 ,2 5 2 2 ,7 3 0 1,521 3 ,2 3 8 2 ,0 4 5 1,193 1 9 6 9 . . . . 4 16 309 107 4 ,4 7 6 2 ,8 7 7 1,598 3 ,4 3 7 2, 183 1,254

1970 _____ 2 6 9 205 6 4 4 ,5 4 7 2 , 9 16 1,631 3 ,4 8 2 2 ,2 1 3 1,269 1 9 7 1 . . . . 21 1 167 4 3 4 ,5 5 5 2 ,9 1 6 1,639 3 ,4 6 4 2,202 1,261 1 9 7 2 . . . . 292 249 4 2 4 ,6 4 1 2 ,9 9 6 1,644 3 ,5 2 3 2 ,2 7 2 1, 1

1 9 7 3 . . . . 3 8 0 316 6 3 4 , 8 10 3 , 142 1,667 3 ,6 6 5 2 ,4 0 4 1,261 1 9 7 4 . . . . 44 1 343 9 7

_________

5 ,0 3 6 3 ,3 1 4

_________

1 ,722

_________

3 ,8 6 1 2 ,5 5 7 1,303

8 2

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 42. Other fabricated metal products: Historical dollars

(Millions of dollars)

G ro ss in v e s tm e n t G ro s s s to c k s N et s to c k s

~ i r ~

T o t a l I E q u i p m e n t | S t r u c t u r e s T o ta l Equi pm ent S t r u c t u r e s

I

T o ta l | E q u i p m e n t S t r u c t u r e s

1 94 7 _____ $ 102 I $73 $28 $431 $273 $158 $376 | $238 $ 137

1 94 8 --------- 5 5 | 36 | 18 478 303 174 415 | 262 152

1 94 9 _____ 76 I 51 I 2 5 545 348 196 473 | 300 173

1950 _____ 102 i 7 0 3 1 637 411 225 554 | 354 200

1 95 1 _____ 124 | 87 I 3 6 749 490 259 653 | 422 23 1

1 95 2 _____ 122 I 88 | 3 3 857 567 290 747 | 487 259

1 95 3 _____ 1 67 I 104 | 6 3 1,009 657 35 1 881 I 563 317

1954 _____ 178 | 134 | 4 4 1,168 776 392 1,021 | 666 355

1 95 5 _____ 1 70 | 124 4 6 1,316 88 1 435 1,147 | 754 393

1956 _____ 1 9 8 | 138 5 9 1,488 997 49 1 1,294 I 850 444

1957 --------- 178 I 137 | 4 1 1,637 1,108 529 1,414 I 939 475

1 95 8 --------- 1 36 | 103 | 3 2 1,741 1, 182 558 1,4 8 5 I 987 497

1 95 9 _____ 1 5 3 I 113 I 3 9 1,856 1,261 594 1,566 | 1,040 526

1960 _____ 1 6 5 I 121 I 4 4 1,978 1,343 635 1,651 I 1,093 557

1 9 6 1 . . . . 158 | 119 | 3 8 2 ,0 8 7 1 , 4 17 669 1,721 I 1,138 582

1962 _____ 20 1 I 1 4 1 | 5 9 2 ,2 3 2 1,507 724 1,826 | 1,199 627

1 96 3 _____ 2 27 | 169 | 5 7 2 ,3 9 5 1 , 6 18 776 1,949 | 1,280 668

1964 _____ 2 58 I 198 | 5 9 2 ,5 8 1 1,751 830 2 ,0 9 4 | 1,383 7 10

1 96 5 _____ 2 90 I 224 6 6 2 ,7 9 2 1 , 9 0 2 889 2 ,2 6 2 I 1,504 757

1966 _____ 3 46 I 257 8 8 3 ,050 2 ,0 7 9 970 2 ,4 7 5 I 1,651 824

1967 _____ 3 84 | 286 | 9 8 3 ,336 2 ,2 7 7 1,059 2 ,7 1 6 I 1,818 898

1 96 8 _____ 3 48 I 265 I 8 3 3 ,5 7 8 2 ,4 4 6 1, 132 2 ,9 1 0 I 1 , 9 5 4 955

1 96 9 _____ 4 09 I 309 I 100 3 ,8 7 2 2 ,6 5 1 1,220 3 ,1 5 4 | 2 , 126 1,027

1970 . . . . 363 | 270 9 2 4 ,1 0 9 2 ,8 1 0 1,299 3 ,3 3 9 I 2 ,2 4 9 1,089

1 9 7 1 . . . . 357 | 267 I 8 9 4 ,3 3 1 2 ,9 5 7 1,373 3 ,5 0 5 I 2 ,3 5 9 1, 146

1972. .. . 420 | 326 I 9 3 4 ,6 0 6 3, 157 1,449 3 ,7 2 2 1 2 ,5 1 8 1,204

1 9 7 3 . . . . 526 I 4 17 I 108 4 ,9 7 8 3 ,4 3 9 1,538 4 ,0 3 1 | 2 ,7 5 6 1,274

1 97 4 _____ 6 37 I 464 i

________________ I___

1 7 2 5 ,4 5 0 3 ,7 6 0 1,689 4 , 4 3 4 | 

1

3 ,0 2 8 1,406

Sector 42. Other fabricated metal products: Constant dollars

(Millions of 1972 dollars)

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l E q u i p m e n t I S t r u c t u r e s

r

T o ta l | E q u i p m e n t S t r u c t u r e s T o ta l Equ i p m e n t S t r u c t u r e s

1947 _____ $ 247 $184 $62 $ 1 ,3 1 9 | $735 $584 $ 1 ,1 2 2 $634 $487

1948 _____ 1 1 9 83 I 3 6 1,410 | 80 1 608 1,19 1 682 509

1 9 4 9 _____ 1 6 3 1 1 2 | 5 1 1,542 | 893 649 1,300 755 545

1 9 5 0 _____ 2 0 8 143 6 5 1,717 | 1 , 0 14 703 1,448 854 594

1 95 1 _____ 2 2 9 162 I 6 7 1,910 ( 1 , 1 5 0 759 1,609 965 644

1 95 2 _____ 2 17 157 | 5 9 2 ,0 8 4 | 1,277 807 1,749 1,063 685

1 95 3 _____ 2 9 5 182 | 113 2 ,3 3 1 | 1,421 910 1,959 1,179 780

1 9 5 4 _____ 3 1 1 231 | 8 0 2 ,5 8 8 | 1,609 979 2 ,1 7 5 1,336 838

1955 _____ 2 9 0 206 I 8 3 2 ,8 1 4 | 1,764 1,050 2 ,3 5 8 1,459 899

1956 _____ 3 0 5 206 I 9 8 3 ,0 4 8 | 1,912 1,136 2 ,5 4 6 1,573 973

1 9 5 7 _____ 2 5 7 193 I 6 4 3 ,2 2 8 | 2 ,0 4 0 1 , 1 8 7 2 ,6 7 6 1,664 1,011

1 95 3 _____ 1 9 7 144 | 5 3 3 ,3 3 9 | 2 ,1 1 2 1,227 2 ,7 3 4 1,698 1 , 0 3 6

1959 _____ 2 2 0 155 | 6 5 3 ,4 6 5 | 2, 187 1,278 2 ,8 0 4 1,733 1,071

1960 _____ 2 3 3 159 7 3 3 ,5 9 4 | 2 ,2 5 8 1,336 2 ,8 7 7 1,765 1,112

196 1 _____ 2 2 2 157 | 6 4 3,7 0 1 I 2 , 3 17 1,383 2 ,9 2 8 1,786 1, 142

1 96 2 _____ 2 8 1 183 | 9 7 3 ,8 5 7 | 2 ,3 9 4 1,462 3 ,0 2 8 1,825 1,203

1963 _____ 3 1 3 2 19 | 9 3 4 ,0 3 2 | 2 ,4 9 6 1,535 3 ,1 5 1 1,894 1,256

1 96 4 _____ 3 4 8 254 | 9 4 4 ,2 3 2 | 2 ,6 2 3 1,608 3 ,2 9 9 1,990 1,309

1 96 5 _____ 3 8 5 283 102 4 ,4 5 7 | 2 ,7 7 1 1,686 3 ,4 7 5 2 ,1 0 8 1,367

1966 . . . . 444 313 I 130 4 ,7 3 0 | 2 ,9 3 9 1,790 3 ,6 9 9 2 ,2 4 8 1,450

1 9 6 7 _____ 4 8 0 340 | 139 5 ,0 2 8 | 3, 126 1,901 3 ,9 4 8 2 ,4 0 8 1,540

1 96 8 _____ 4 13 30 1 1 12 5 ,2 4 7 | 3 ,2 6 5 1 , 9 3 2 4 , 120 2,5 2 1 1,599

1969 _____ 4 6 5 340 | 125 5 ,5 0 8 | 3 ,4 3 4 2 ,0 7 4 4 ,3 3 3 2 ,6 6 5 1,668

1970 _____ 3 9 0 285 105 5 ,6 8 4 | 3 ,5 4 2 2, 142 4 ,4 6 0 2 ,7 4 6 1 , 7 14

197 1 _____ 3 6 4 270 | 9 4 5 ,8 2 5 | 3 ,6 2 8 2 ,1 9 7 4,5 5 1 2 ,8 0 5 1,746

1972 _____ 4 2 0 326 | 9 3 6 ,0 1 5 | 3 ,767 2 ,2 4 7 4 ,6 8 8 2 ,9 1 3 1,775

1973 _____ 5 1 0 409 | 100 6 ,2 8 5 | 3 ,9 8 3 2 ,3 0 2 4 ,9 0 4 3 ,0 9 5 1,809

1974 _____ 5 5 0 415 | 134 6 ,5 8 8 | 4 ,1 9 8 2 ,3 8 9 5 ,1 4 7 3 ,2 7 2 1,874

8 3

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 43. Engines and turbines: Historical dollars

(Millions of dollars)

G ro ss in v e s tm e n t

—

G ro ss s to c k s N e t s to c k s

T o ta l

------------------------------------!

E q u i p m e n t | S t r u c t u r e s

I

T o t a l I E q u i p m e n t S t r u c t u r e s T o ta l E qu i p m e n t S t r u c t u r e s

1 99 7 _____ $ 3 9

------------------------------------ r _

$ 22 I $ 17

I

$180 | $99 $85 $ 168 $86 $8 1

1998 . . . . 2 0 19 | 5 197 | 107 9 0 182 9 6 8 5

1 99 9 _____ 2 1 15 I 5 2 16 | 120 9 5 197 107 8 9

1950 _____ 16 13 | 2 229 I 131 9 7 205 1 1 9 9 0

1 9 5 1 . . . . 3 9 25 I 8 259 | 159 105 231 139 9 7

1 9 5 2 . . . . 9 3 28 | 15 298 I 179 1 19 269 159 110

1 95 3 _____ 5 0 32 I 17 392 | 206 136 302 177 125

1 959 _____ 9 2 3 0 | 1 1 378 | 231 196 331 196 139

1 9 5 5 . . . . 3 8 30 | 8 909 | 255 153 359 219 139

1956 . . . . 9 5 3 7 7 995 I 289 16 1 382 238 199

1957 _____ 8 2 6 1 I 2 1 518 | 337 18 1 995 283 16 1

1 95 8 _____ 6 9 50 I 18 577 I 377 199 992 3 16 176

1 95 9 --------- 5 3 3 8 I 19 617 | 909 212 521 339 186

1960 . . . . 9 1 28 | 12 693 | 9 19 229 539 390 199

1 9 6 1 . . . . 5 0 38 I 1 1 676 | 992 239 559 359 200

1 9 6 2 . . . . 9 6 38 I 7 7 0 1 I 962 239 567 366 20 1

1 9 6 3 ... . 5 5 9 6 8 739 I 9S8 295 587 389 203

1969 _____ 6 1 51 1 9 769 | 5 18 251 6 1 1 905 205

1 9 6 5 . . . . 8 9 7 1 I 17 830 I 569 266 660 999 2 15

1 9 6 6 . . . . 106 8 1 1 2 5 907 | 6 19 287 729 99 1 232

1 9 6 7 . . . . 169 117 | 9 7 1,039 I 708 33 1 893 57 1 27 1

1968 . . . . 203 193 j 6 0 1,208 | 82 1 386 996 673 322

1 9 6 9 _____ 2 0 6 175 | 3 1 1,377 | 969 412 1,197 803 393

1970 . . . . 229 174 | 5 9 1,565 | 1,109 960 1,319 927 386

1 9 7 1 . . . . 188 193 I 9 5 1,709 | 1,210 998 1,933 1,013 9 19

1 9 7 2 . . . . 186 19 1 9 9 1,896 | 1,310 536 1,593 1,091 95 1

1 9 7 3 . . . . 299 228 I 7 0 2 ,0 9 1 I 1,992 598 1,757 1,299 508

1 97 9 _____ 3 5 8 273 I 8 9 2 , 3 8 9 | 

1

1,715 673

___

2 ,0 2 0 1,992 577

Sector 43. Engines and turbines: Constant dollars

(Millions of 1972 dollars)

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l

1

E q u i p m e n t | S t r u c t u r e s T o ta l

________________

E qu i p m e n t S t r u c t u r e s

I

T o t a l :q u i p m e n t S t r u c t u r e s

1997 _____ $ 9 2 $59 $37 $989 $290 $299 $998 | $ 2 16 $232

1 99S .... 9 3 32 I 1 1 525 267 258 977 | 238 238

1999. .. . 9 9 32 I 1 1 562 299 267 509 | 253 295

1950 _____ 3 2 26 | 5 586 3 15 27 1

I

517 | 27 1 296

1 9 5 1 . . . . 6 2 96 | 15 638 359 289 557 | 30 1 256

1 9 5 2 . . . . 7 5 98 | 2 6 702 393 308 608 | 330 277

1 9 5 3 . . . . 8 6 55 I 3 0 779 937 337 666 | 369 302

1 9 5 9 . . . . 7 2 51 I 2 1 830 979 355 708 I 39 1 316

1955 _____ 6 3 9 9 | 19 875 507 367 737 | 9 19 323

1956 . . . . 6 7 59 | 12 92 1 593 377 767 | 939 328

1 9 5 7 . . . . 1 18 85 | 3 3 1,017 608 908 895 | 992 352

1 958 _____ 1 0 0 69 | 3 0 1,091 655 936 899 | 526 373

1 9 5 9 ... . 7 6 52 | 2 9 1,138 68 1 957 926 | 539 387

1960 _____ 5 8 3 7 | 2 1 1, 169 689 975 9 3 1 | 535 396

196 1 _____ 6 8 50 | 18 1,195 706 989 999 | 59 1 902

1 9 6 2 . . . . 6 1 99 I 1 1 1,219 7 19 995 995 I 595 900

1 9 6 3 . . . . / 3 59 I 13 1,291 739 502 955 I 557 398

1969 _____ 7 9 6 5 | 

j

19 1 , 2 7 1* 762 509 970 | 573 397

1 96 5 _____ 1 16 8 8 2 7 1,339 807 527 1,019 | 6 1 1 907

1 9 6 6 . . . . 136 99 | 3 7 1,915 860 555 1,085 | 658 927

1 96 7 _____ 2 0 5 137 | 6 7 1,562 950 6 12 1,218 | 79 1 976

1 9 6 8 . . . . 299 162 I 8 1 1,795 1 , 0 6 9 680 1,389 | 896 538

1969. .. . 231 192 | 3 9 1,912 1,206 706 1,533 | 977 556

1970 _____ 2 9 3 182 6 1 2 ,0 8 7 1,339 752 1,687 | 1,091 596

1 9 7 1 . . . . 192 199 | 9 7 2 ,2 0 8 1,929 789 1,783 | 1,162 620

1 9 7 2 _____ 1 8 6 1 9 1 | 9 9 2 , 3 18 1,507 81 1 1,866 | 1,229 692

1 97 3 _____ 2 8 9 229 | 6 5 2 ,5 2 5 1,668 857 2 ,0 9 6 | 1,363 683

1 9 7 9 . . . . 3 10 299 |

_____________________I____

6 5 2 ,7 9 8 1,899

_____________________

9 0 3 2 ,2 3 7 |

________________ I____

1 ,513 723

8 4

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 44. Farm machinery and equipment: Historical dollars

(Millions of dollars)

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k ;

T o ta l E q u i p m e n t S t r u c t u r e s T o t a l Equi pm ent S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1947 . . . . $77 $46 $31 $226 $120 $106 $207 $109 $97

1 9 4 8 . . . . 6 9 5 1 18 292 168 123 269 155 1 14

1 94 9 _____ 3 8 2 7 10 326 193 132 298 176 12 1

1950 _____ 3 2 2 4 8 3 5 4 215 139 320 193 127

1 9 5 1 ... . 4 2 2 9 1 2 391 240 150 349 2 12 1 3 7

1 9 5 2 ... . 5 1 3 5 15 437 27 1 165 386 236 150

1 9 5 3 . . . . 6 0 4 4 15 489 309 179 429 266 162

1 9 5 4 _____ 5 1 4 0 1 1 531 342 189 460 290 170

1 9 5 5 . . . . 5 1 4 2 9 57 1 375 196 490 314 175

1 9 5 6 . . . . 4 8 3 8 9 606 402 204 513 332 180

1957 . . . . 4 6 3 6 9 638 426 2 12 532 346 185

1 9 5 8 . . . . 5 6 4 1 14 677 452 225 558 362 195

1 959 --------- 4 6 3 6 10 705 47 1 234 57 1 37 1 200

1960 . . . . 5 7 4 5 1 1 741 497 243 593 387 206

1 9 6 1 . . . . 4 7 3 5 1 1 763 510 253 602 390 2 1 1

1 9 6 2 . . . . 4 4 3 4 10 778 518 260 605 391 214

1 9 6 3 . . . . 6 6 4 8 17 8 13 538 275 629 404 224

1 964 _____ 8 4 5 9 2 5 864 566 297 670 428 242

1 9 6 5 . . . . 8 8 7 0 17 916 604 311 7 12 461 25 1

1 9 6 6 . . . . 110 7 0 3 9 988 641 346 775 493 28 1

1 9 6 7 . . . . 130 9 4 3 5 1,077 700 377 855 547 307

1 9 6 8 . . . . 123 9 4 2 9 1,159 757 40 1 925 598 326

1969 _____ 1 0 5 8 6 19 1,220 806 4 14 974 640 334

1970 . . . . 10 1 7 5 2 6 1,275 842 433 1,016 667 348

1 9 7 1 . . . . 102 7 8 2 3 1,328 879 448 1,055 695 359

1 9 7 2 . . . . 164 123 4 1 1,441 960 48 1 1,153 765 388

1 9 7 3 . . . . 139 9 9 4 0 1,526 1,014 5 12 1,221 806 414

1 97 4 _____ 2 4 1 159 8 1 1 , 7 10 1, 126 583 1,387 905 482

Sector 44. Farm machinery and equipment: Constant dollars

(Millions of 1972 dollars)

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l

I

E q u i p m e n t I S t r u c t u r e s T o ta l E qu i p m e n t S t r u c t u r e s T o ta l Equ i p m e n t S t r u c t u r e s

1947 _____ $ 179 $ 109 I $69 $624 $296 $328 $553 $265 $288

1948 --------- 1 5 0 112 I 3 7 762 402 360 684 365 3 18

1 9 4 9 _____ 7 7 57 J 2 0 828 452 375 738 407 330

1950 _____ 6 4 4 7 16 879 492 387 775 435 339

1 95 1 _____ 7 5 5 1 1 2 3 940 534 405 8 19 464 354

1 95 2 --------- 8 9 6 1 j 2 7 1,012 584 428 872 499 373

1 95 3 _____ 1 0 2 74 j 2 7 1,094 643 450 934 542 391

1 95 4 _____ 8 7 67 j 19 1, 156 69 1 465 975 574 40 1

1 95 5 _____ 8 4 6 8 | 16 1,213 737 476 1,010 603 407

1956 _____ 7 1 55 | 15 1,252 766 486 1,027 6 16 4 1 1

1957 _____ 6 4 5 0 I 14 1,282 788 494 1, 034 620 414

1 95 8 _____ 7 9 5 5 | 2 4 1,324 8 1 1 5 13 1,051 625 426

1 95 9 _____ 6 5 4 8 | 16 1,347 823 524 1,051 621 429

1960 _____ 7 7 5 8 18 1,378 84 1 536 1 , 0 5 8 624 434

1 9 6 1 . . . . 6 4 45 I 18 1,388 840 548 1,049 6 12 437

1962 _____ 5 9 4 3 | 16 1,388 832 556 1,033 596 437

1 9 6 3 _____ 8 9 6 1 I 2 8 1,413 837 576 1 , 0 4 5 597 448

1 96 4 _____ 1 15 7 5 4 0 1,460 853 606 1 , 0 8 2 6 12 470

1 9 6 5 _____ 1 1 4 8 6 2 7 1,502 880 622 1,116 638 478

1 9 6 6 _____ 1 4 3 8 5 5 8 1,572 903 668 1,179 663 515

1967 _____ 16 1 1 1 1 5 0 1,658 952 705 1,258 7 13 544

1 968 _____ 145 105 4 0 1,727 996 730 1,319 757 562

1 9 6 9 _____ 1 18 9 4 2 3 1,767 1,030 737 1,351 789 562

1970 _____ 1 0 8 78 | 2 9 1,796 1,047 748 1,371 803 567

197 1 _____ 1 0 4 79 | 2 5 1 , 8 19 1,065 754 1,384 816 568

1 972 _____ 1 6 4 123 4 1 1 , 9 0 2 1, 126 775 1,456 87 1 584

1 973 _____ 1 3 4 97 I 3 7 1,952 1,16 1 790 1,494 897 596

1974 _____ 2 0 7 143 6 3 2 ,0 7 3

_______

1 ,241

_________

8 3 1 1,602 968

_________

6 3 4

8 5

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 45. Construction machinery and equipment: Historical dollars

(Millions of dollars)

Y ea r

—

G ro ss in v e s tm e n t

—

G ro ss s to c k s N et s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l

I

E q u i p m e n t I S t r u c t u r e s T o ta l E qu i p m e n t S t r u c t u r e s

1 9 4 7 _____ $6 1 $ 4 4 $16 $27 1 $167 $104 $242 $143 $98

1 9 4 8 _____ 6 0 4 5 15 325 207 | 1 18 292 181 1 1 1

1 9 4 9 _____ 4 2 3 2 10 36 1 233 | 128 322 203 119

1950 _____ 3 9 3 1 7 393 258 135 348 223 124

1 95 1 --------- 8 8 7 0 18 474 321 I 152 420 280 140

1 95 2 --------- 7 0 5 1 18 535 365 I 169 472 316 155

1 953 _____ 8 8 7 0 17 6 13 426 I 186 538 368 169

1 95 4 _____ 7 2 5 5 16 673 4 7 1 20 1 585 402 182

1 955 _____ 6 2 5 2 9 7 2 1 5 10 | 2 10 6 19 430 188

1956 _____ 8 1 6 6 14 786 562 223 667 469 198

1957 _____ 1 0 6 7 6 3 0 874 621 I 252 758 5 14 223

1 95 3 _____ 7 1 5 2 19 923 653 I 270 769 532 237

1 95 9 _____ 8 3 6 8 14 98 1 697 | 283 807 562 245

1960 . . . . 8 9 7 1 18 1, 042 742 299 849 591 257

1 9 6 1 . . . . 6 3 4 4 19 1,072 755 I 3 16 859 590 268

1962 _____ 7 4 5 4 19 1,108 776 I 332 877 597 279

1963 _____ 7 5 6 0 14 1,142 798 I 343 893 607 285

1 96 4 --------- 1 0 6 7 6 3 0 1,202 832 | 370 936 630 306

1 96 5 _____ 14 1 1 1 1 3 0 1,294 898 395 1,012 685 326

1966 _____ 17 1 121 5 0 1,411 970 | 44 1 1,114 749 365

1967 _____ 2 2 8 174 5 3 1,581 1,093 I 488 1,269 862 407

1968. .. . 194 144 4 9 1 , 7 14 1, 183 53 1 1,385 942 443

1 9 6 9 _____ 2 1 1 158 5 3 1,862 1,285 | 577 1,513 1,030 482

1970 _____ 2 1 9 163 5 6 2 , 0 15 1,389 | 625 1,644 1,119 524

197 1 _____ 2 1 2 155 5 6 2 , 156 1,483 | 673 1,760 1,195 564

1 97 2 _____ 2 2 8 185 4 2 2 ,3 0 9 1,603 | 706 1,885 1,295 590

1973 _____ 2 9 1 222 6 8 2 ,5 2 0 1,756 763 2 ,0 6 5 1,425 640

1974 _____ 5 8 5 394

_________

1 9 1 3 ,0 2 0 2 ,0 7 6 |

__________L_

9 4 3 2 ,5 3 0 1 ,7 18 812

Sector 45. Construction machinery and equipment: Constant dollars

(Millions of 1972 dollars)

Y ea r

G '■oss i n v e s t m e n t G ro ss s to c k s N et s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E qu i p m e n t S t r u c t u r e s

1 94 7 _____ $ 139 $102 $36 $760 $4 18 $34 1 $667 $352 $314

1 9 4 8 . . . . 128 9 8 2 9 870 50 1 369 768 430 338

1 9 4 9 . . . . 8 6 6 5 2 0 938 550 388 822 470 352

1950 _____ 7 6 6 0 1 5 996 594 40 1 864 503 360

195 1 _____ 1 5 6 122 3 3 1,132 699 432 98 1 595 386

1 95 2 _____ 1 19 8 7 3 2 1,228 766 462 1 , 0 5 6 646 409

1 95 3 _____ 1 5 0 1 19 3 1 1,352 862 490 1,155 724 430

1 9 5 4 _____ 1 2 1 9 1 2 9 1,443 926 516 1,219 769 449

1 95 5 _____ 1 0 2 8 4 17 1,510 979 531 1,258 80 1 456

1956 _____ 119 9 6 2 3 1,590 1,040 550 1,308 842 466

1957 _____ 1 5 2 104 4 7 1,698 1,105 593 1,386 885 500

1 9 5 8 _____ 10 1 7 0 3 0 1,750 1,1 3 1 6 18 1,405 888 516

1 9 5 9 _____ 1 1 4 9 0 2 4 1,809 1, 171 637 1,432 907 525

1960 _____ 1 2 1 9 1 2 9 1,868 1,208 660 1,46 1 923 537

196 1 _____ 8 7 5 6 3 1 1,886 1,203 683 1,450 900 550

1 96 2 _____ 1 0 0 6 9 3-1 1,910 1,205 704 1,448 887 56 1

1 9 6 3 . . . . 100 7 6 2 3 1,927 1,209 7 17 1,443 880 563

1 96 4 _____ 1 4 2 9 5 4 7 1,930 1,228 752 1,478 889 588

1 96 5 _____ 1 8 3 137 4 5 2 ,0 6 8 1,284 784 1,550 940 610

1 9 6 6 . . . . 220 146 7 4 2, 188 1,345 843 1,657 997 659

1967 _____ 2 7 9 202 7 6 2 ,3 6 4 1,461 902 1,820 1,110 709

1 96 8 _____ 2 2 8 162 6 6 2 ,4 8 6 1,536 949 1,928 1, 180 748

1 9 6 9 . . . . 240 173 6 6 2 , 6 17 1,621 996 2 ,0 4 4 1,258 786

1970 _____ 2 3 4 169 6 4 2 ,7 3 9 1,701 1,038 2 , 150 1,329 820

197 1 _____ 2 1 6 156 5 9 2 ,8 4 1 1,766 1,074 2,2 3 1 1,383 848

1 97 2 _____ 2 2 8 185 4 2 2 ,9 5 2 1,859 1,092 2 ,3 2 0 1,460 859

1 9 7 3 _____ 2 8 2 2 18 6 3 3 ,1 1 2 1,982 1 , 1 3 0 2 ,4 5 5 1,565 889

1 9 7 4 . . . . 505 355 149 3 ,491 2 ,2 3 9 1,252 2 ,8 0 7 1,801 1,005

86

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 46. Materials handling equipment: Historical dollars

(Millions of dollars)

Y ear

G ro ss i n v e s t m e n t G ro ss s to c k s N et s to c k s

T o t a l 1 E q u i p m e n t 1 S t r u c t u r e s

I I

T o t a l I E q u i p m e n t I S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1 947 _____ $ 25 i $ 8 $ 17 $54 I $22 $31 $49 $ 19 $30

1948 . . . . 24 I 8 I 15 76 I 29 I 4 7 7 0 2 6 4 4

1 94 9 _____ 16 | 5 I 10 9 1 I 34 | 5 7 8 4 2 9 5 4

1950 _____ 14 | 5 I 8 103 I 3 8 6 4 9 4 3 3 6 1

1 95 1 _____ 3 1 1 12 I 19 132 I 4 9 8 3 122 4 3 7 9

1952 _____ 2 8 I 9 I 19 158 | 5 6 10 1 145 4 8 9 6

1 9 5 3 . . . . 31 I 12 I 18 186 | 66 I 119 170 5 7 113

1954 _____ 2 1 I 1 1 I 9 204 I 75 | 128 185 6 4 120

1955 . . . . 16 | 1 1 1 5 216 | 8 2 133 194 6 9 124

1 9 5 6 . . . . 22 | 13 I 8 234 I 92 I 14 1 207 7 7 130

1957 . . . . 33 | 15 I 17 261 I 104 157 23 1 8 6 144

1 9 5 8 . . . . 18 | 13 I 5 274 | 1 12 I 16 1 239 9 2 146

1 95 9 _____ 2 2 | 17 I 4 290 | 124 165 249 102 147

1960 . . . . 23 | 18 I 5 306 | 137 169 260 11 1 148

1 9 6 1 . . . . 17 | 11 i 5 315 | 14 1 I 173 263 1 13 150

1 9 6 2 . . . . 19 | 14 1 5 326 I 148 I 178 267 1 16 15 1

1 9 6 3 . . . . 19 I 14 I 5 335 I 153 | 182 27 1 1 19 15 1

1964 _____ 2 8 I 17 | 10 352 I 16 1 | 19 1 282 125 157

1965 _____

I

3 6 I 25 | 10 377 | 176 200 300 138 162

1966 . . . . 47 I 28 I 19 411 I 193 | 2 17 328 152 17 6

1967 . . . . 53 I 34 I 18 449 | 2 16 I 233 36 1 172 188

1 9 6 8 . . . . 46 I 28 I 17 480 | 232 I 247 384 186 198

1 96 9 _____ 50 | 31 I 1 8 513 I 251 | 262 4 10 200 209

1 9 7 0 . . . . 52 | 32 I 19 547 | 269 | 278 436 215 221

197 1 _____ 4 5 I 30 I 14 573 I 285 287 453 226 227

1 97 2 _____ 5 5 I 3 7 18 605 I 305 300 477 241 236

1 97 3 _____ 6 9 | 49 I 19 650 | 336 313 5 14 267 246

1974 _____ 1 1 0 I

________I__

76 I

_______ I_

3 4 733 I

________I____

3 93 I 340 590

____

3 1 9 270

Sector 46. Materials handling equipment: Constant dollars

(Millions of 1972 dollars)

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l Equ i p m e n t S t r u c t u r e s

1947 _____ $ 5 4 $16 $38 $147 $52 $94 $129 $43 $86

1 94 8 _____ 4 6 15 3 1 189 6 4 124 170 5 5 115

1 94 9 _____ 3 2 10 2 2 217 7 1 145 195 6 1 134

1950 --------- 2 6 9 16 239 7 8 16 1 2 14 6 5 148

1 95 1 _____ 5 4 19 3 5 289 9 4 195 260 7 9 180

1 95 2 _____ 4 7 13 3 3 33 1 103 227 297 8 6 210

1 95 3 _____ 5 1 18 3 2 376 117 258 336 9 7 239

1954 . . . . 3 4 17 16 402 128 274 357 106 251

1955 _____ 2 6 16 10 420 137 282 368 1 12 256

1956 _____ 3 1 17 13 442 147 294 384 120 264

1 9 5 7 _____ 4 6 19 2 7 478 159 319 4 13 128 285

1 95 8 _____ 2 5 16 8 492 167 325 420 133 286

1 95 9 _____ 2 8 2 1 6 509 179 330 428 142 286

1960 _____ 3 0 2 2 8 527 19 1 336 437 151 286

196 1 _____ 2 2 13 8 535 193 342 437 150 286

1 962 --------- 2 5 17 8 546 198 347 438 152 286

1 96 3 _____ 2 5 17 8 555 202 352 438 153 285

1 9 6 4 _____ 3 8 2 1 16 575 209 365 450 158 291

1 965 _____ 4 7 3 1 16 603 226 377 469 172 297

1 9 6 6 _____ 6 1 3 3 2 8 643 243 400 50 1 187 313

1967 _____ 6 6 3 9 2 6 687 266 420 536 209 327

1 96 8 _____ 5 5 3 2 2 3 7 18 282 436 559 221 337

1969 _____ 5 7 3 4 2 3 751 299 451 581 235 346

1970 _____ 5 6 3 3 2 2 780 315 464 600 247 353

197 1 _____ 4 6 3 1 15 796 327 469 607 254 352

1 972 _____ 5 5 3 7 18 8 19 343 476 621 266 354

1 97 3 _____ 6 7 4 9 18 850 369 481 645 288 356

1974 _____ 9 7 7 0 2 6

_________

9 0 9 415 494 697 330

_________

3 6 6

8 7

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 47. Metalworking machinery and equipment: Historical dollars

(Millions of dollars)

G ro s s in v e s tm e n t G ro ss s to c k s N et s to c k s

----------------------------i

T o t a l I E q u i p m e n t S t r u c t u r e s T o ta l I E qu i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1 94 7 _____ $ 57 | $40 $16 $ 4 6 1 | $273 $188 $380 $225 $154

1 94 8 _____ 4 9 I 3 3 15 498 I 298 200 409 244 164

1 9 4 9 _____ 4 8 I 3 3 15 534 | 322 211 436 26 1 174

1950 . . . . 53 | 4 0 1 2 573 1 352 220 466 284 18 1

1 9 5 1 . . . . 110 I 7 3 3 7 667 | 4 14 253 55 1 333 213

1952. .. . 143 I 9 1 5 2 793 | 492 30 1 666 407 259

1 9 5 3 _____ 1 5 1 I 10 1 5 0 924 | 577 346 785 483 302

1 95 4 _____ 1 51 | 107 4 3 1,054 | 668 386 90 1 562 338

1 955 _____ 1 3 8 I 9 7 4 1 1,163 I 745 422 999 628 371

1956 _____ 1 74 I 124 4 9 1,315 I 847 467 1,129 7 17 4 12

1957 . . . . 177 I 128 4 9 1,463 | 950 5 12 1,258 806 451

1 95 8 _____ 1 06 | 8 2 2 4 1,537 I 1,006 53 1 1,309 844 465

1 9 5 9 . . . . 90 I 7 1 19 1,593 I 1,048 545 1,340 866 473

1960 . . . . 113 | 8 3 2 9 1,669 | 1,099 569 1,387 897 490

1 9 6 1 . . . . 96 I 7 4 2 1 1,724 i 1,138 585 1 , 4 12 9 13 499

1962. .. . 122 I 8 8 3 4 1,801 I 1, 188 6 13 1,458 938 520

1 9 6 3 . . . . 137 I 1 10 2 6 1,888 I 1,254 633 1,512 980 532

1 964 _____ 1 76 I 137 3 8 2 ,0 0 8 I 1,343 665 1,599 1 , 044 555

1 9 6 5 . . . . 225 I 179 4 5 2 ,1 7 1 | 1,467 703 1,729 1 , 1 4 4 584

1966 _____ 3 39 I 252 8 7 2 ,4 4 0 | 1,657 783 1, 965 1,310 654

1967 . . . . 320 I 250 6 9 2 ,6 8 2 I 1,839 843 2 ,1 7 2 1,468 704

1968 _____ 2 87 I 224 6 3 2 ,8 8 5 | 1 , 9 8 8 896 2 ,3 3 9 1,592 746

1969 _____ 2 88 | 221 6 7 3 ,0 8 0 I 2 , 127 953 2 ,4 9 8 1,707 79 1

1970 . . . . 232 | 179 5 3 3 ,2 1 2 | 2 ,2 1 8 994 2 ,5 9 2 1,772 820

1 9 7 1 . . . . 176 I 14 1 3 4 3,2 8 1 i 2 ,2 6 5 1,015 2 ,6 2 2 1,794 828

1972. .. . 219 I 174 4 4 3 ,3 8 6 | 2,3 4 1 1,045 2 ,6 8 9 1,843 846

1973. .. . 257 | 206 5 0 5 ,5 2 4 I 2 ,4 4 4 1,079 2 ,7 8 5 1,917 868

1974 _____ 4 11 I

________________ I____

321 9 0 3 ,8 0 9 I 2 ,6 5 7 1,151 3 ,0 2 7 2 ,0 9 9

_____________________

928

Sector 47 Metalworking machinery and equipment: Constant dollars

(Millions of 1972 dollars)

Y ea r

G

—

"o s s in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l Equ i p m e n t

1

1 S t r u c t u r e s T o ta l E qu i p m e n t S t r u c t u r e s

1 9 4 7 . . $ 14 1 $ 104 $36 $ 1 ,5 1 3 I $750 $762 $ 1 ,2 0 9 $ 6 1 1 $598 1 9 4 8 . . 107 7 6 3 1 1,577 | 803 774 1,254 646 6 07 1949. . 105 7 3 3 1 1,636 | 849 786 1,293 676 6 17

1 9 5 0 . . 1 10 8 4 2 6 1,697 | 903 793 1,332 7 1 1 62 1 1 95 1.. 204 135 6 9 1,849 | 1,005 843 1,461 794 667 1 9 5 2 . . 258 165 9 2 2 ,0 5 0 | 1,133 9 17 1,639 902 736 1953. . 269 180 8 3 2 ,2 5 7 | 1,269 987 1,820 1,019 800 1954. . 268 188 7 9 2 ,4 5 7 | 1,409 1,047 1,994 1, 140 853

1955. . 235 16 1 7 4 2 ,6 1 9 | 1 , 5 16 1,102 2 ,1 2 7 1,227 90 0 1 9 5 6 . . 27 1 188 8 2 2 ,8 1 0 | 1,645 1,164 2 ,2 9 0 1,336 954 1 9 5 7 . . 26 1 183 7 7 2 ,9 8 5 | 1,763 1,221 2 ,4 3 6 1,434 1,001 1 9 5 8 . . 155 1 16 3 9 3 ,0 5 1 | 1,811 1,239 2 ,4 6 8 1,459 1,009 1 95 9.. 129 9 7 3 1 3 ,0 8 7 | 1,837 1,250 2 ,4 6 7 1,459 1,008

1 9 6 0 . . 160 1 1 1 4 8 3 ,1 4 9 | 1,873 1,276 2 ,4 9 1 1,468 1 , 023 1 96 1.. 133 9 7 3 5 3 ,1 8 0 | 1,892 1,288 2 ,4 8 1 1,458 1,023 1962. . 172 1 16 5 5 3 ,2 4 4 t 1 , 9 2 4 1,320 2 ,5 0 3 1,460 1,042 1963. . 186 143 4 3 3 ,3 1 5 | 1 , 9 7 7 1,337 2 ,5 3 2 1,484 1,048 1964. . 237 17 6 6 1 3 ,4 2 8 | 2 ,0 5 6 1,372 2 ,6 0 6 1,535 1,070

1965. . 297 227 6 9 3 ,5 9 3 | 2, 179 1 , 4 14 2 ,7 3 1 1,632 1,099 1 9 6 6 . . 4 36 307 128 3 ,8 8 6 | 2 ,3 7 2 1,513 2 ,9 8 8 1,802 1,186 1967. . 397 298 9 8 4 ,1 3 0 | 2 ,5 4 9 1,580 3 ,1 9 7 1 , 9 5 7 1,240 1968. . 340 255 8 5 4 ,3 0 7 | 2 ,6 7 3 1,633 3,3 4 1 2 ,0 6 1 1,279 1969. . 326 242 8 3 4 ,4 6 1 | 2 ,7 7 9 1,682 3 ,4 6 4 2 ,1 4 9 1,315

1 9 7 0 . . 247 186 6 0 4 ,5 2 9 | 2 ,8 2 1 1,707 3 ,5 0 2 2 ,1 7 5 1 . 3 2 6 1 97 1.. 179 143 3 5 4 ,5 2 2 I 2 , 8 17 1,705 3 ,4 6 6 2 ,1 5 5 1,311 1972. . 219 174 4 4 4 ,551 | 2 ,8 4 1 1,710 3 ,4 6 7 2, 163 1,303 1973. . 247 200 4 6 4 ,6 0 4 | 2 ,8 8 9 1,715 3,4 9 1 2 ,1 9 3 1,297 1974. . 354 284 7 0 4 ,761 |

_______ L_

3 , 0 19

__________________

1,742 3 , 6 16 2 ,3 0 2 1,313

88

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 48. Special industry machinery and equipment: Historical dollars

(Millions of dollars)

Y ea r

Gross

—

i n v e s t m e n t G ro s s s to c k s N et s to c k s

T o t a l I E q u i p m e n t S t r u c t u r e s T o ta l

I

E q u i p m e n t I S t r u c t u r e s

I I

T o t a l I E q u i p m e n t i S t r u c t u r e s

1947 . . . .

----------------------------1---------

$ 62 I $39 $22 $ 1 99 $113 $86 $183 I $109 $79

1 9 4 8 . . . . 39 I 2 7 12 235 138 I 9 6 216 I 126 8 9

1 9 4 9 _____ 3 3 I 2 3 10 265 159 | 105 242 | 195 I 9 7

1950 . . . . 93 I 3 2 1 1 305 189 1 15 277 I 170 | 106

1 9 5 1 . . . . 63 I 3 9 2 3 369 226 I 138 330 | 202 I 128

1952 . . . . 59 I 3 9 19 9 19 257 I 156 372 I 227 I 19 5

1 9 5 3 . . . . 58 | 3 9 18 966 292 i 179 915 I 255 I 160

1 95 9 _____ 9 8 I 3 5 12 507 322 | 185 446 | 277 | 169

1 9 5 5 . . . . 56 | 9 1 15 559 355 198 983 I 302 I 181

1956 . . . . 81 I 7 0 1 1 626 9 17 I 209 593 I 359 I 188

1 9 5 7 . . . . 78 I 5 1 2 6 693 959 | 239 597 | 385 I 2 1 1

1958 . . . . 55 I 3 9 15 735 986 I 298 623 I 902 I 22 1

1 959 --------- 5 6 I 9 1 15 776 513 | 262 6 4 8 | 

j

9 17 I 23 1

1960 . . . .

I

67 I 9 9 18 825 596 279 681 I 937 | 293

1 9 6 1 . . . . 7 1 I 9 9 2 1 879 575 I 298 7 19 I 955 I 258

1 9 6 2 . . . . 73 I 5 6 17 923 608 | 3 19 797 j 977 I 269

1 9 6 3 . . . . 72 I 5 9 18 967 637 I 330 775 1 995 | 279

1 96 9 _____ 99 I 6 8 3 1 1,039 676 | 358 827 I 529 I 302

1 9 6 5 . . . . 119 I 8 7 3 2 1,119 732 387 897 | 572 I 325

1 9 6 6 . . . . 156 I 107 9 8 1,237 805 I 93 1 999 i 636 I 36 3

1 9 6 7 . . . . 180 1 1 16 6 3 1,376 886 I 990 1,122 I 706 I 4 15

1 9 6 8 . . . . 193 I 103 3 9 1,976 951 I 525 1,2 0 3 I 760 I 993

1 969 _____ 1 31 I 9 9 3 2 1,560 1,009 | 55 1 1,268 | 807 96 1

1 9 7 0 . . . . 157 | 1 18 3 9 1,667 1,083 | 583 1,355 I 868 987

1 9 7 1 . . . . 125 I 9 6 2 8 1,739 1,139 | 609 1,905 I 905 I 500

1 9 7 2 . . . . 160 I 1 17 9 3 1,892 1,203 I 639 1,986 I 958 I 527

1 9 7 5 . . . . 203 I 198 5 5 1 , 9 8 5 1,300 I 689 1,605 I 1,039 I 565

1 97 9 _____ 2 69 I 193 7 1 2, 189 1,939 I

____________ L_

7 9 9 1 , 7 7 8 I 

1

1,159 1

________________ L _

6 18

Sector 48. Special industry machinery and equipment: Constant dollars

(Millions of 1972 dollars)

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s

------------------------------- r

N et s to c k s

1

T o t a l | E q u i p m e n t S t r u c t u r e s

I

T o ta l

1 r

: q u i p m e n t 1 S t r u c t u r e s 1 T o ta l E q u i p m e n t I S t r u c t u r e s

1997 _____ $ 198 | $98 $99 $551 I $286 $269 $999 $260 $233

1 99 8 _____ 8 5 | 6 1 2 3 626 | 393 I 283 I 562 3 11 | 25 1

1 999 _____ 7 1 I 5 0 2 0 688 | 388 | 299 | 6 19 398 | 266

1950 _____ 8 7 | 6 9 2 3 766 | 997 3 18 679 397 282

1 95 1 _____ 115 | 7 2 9 3 870 | 5 12 I 358 | 769 950 I 3 19

1952 _____ 95 | 6 0 3 9 9 5 1 | 562 | 3 3 9 | 839 987 | 397

1 95 3 _____ 102 I 6 9 3 2 1,037 | 620 | 9 17 | 902 530 I 37 1

1 95 9 _____ 8 3 | 

|

6 1 2 1 1,102 | 666 | 935 I 996 56 1 335

1 95 5 _____ 9 5 | 6 8 2 6 1,175 I 7 17 | 953 997 599 902

1956 _____ 1 2 3 | 109 19 1,279 | 8 0 1 j 973 | 1,073 6 6 1 | 9 12

1 9 5 7 _____ 1 19 | 7 2 9 1 1,361 | 850 | 5 10 | 1,139 6 9 1 I 993

1 95 8 _____ 7 9 I 5 5 2 9 1,909 | 878 | 531 | 1,155 698 | 957

1959 _____ 81 I 5 6 2 5 1,455 | 902 j 552 | 1,173 703 | 969

1 9 6 0 _____ 9 4 | 6 9 3 0 1,508 | 930 577 I 1,200 7 13 986

196 1 _____ 1 00 | 6 5 3 5 1,561 | 953 | 607 1,227 720 | 507

1962. . . . 10 1 | 7 2 2 8 1,609 | 973 | 630 I 1,251 7 3 1 I 519

1 96 3 _____ 9 9 I 7 0 2 9 1,698 | 996 I 652 I 1,270 738 I 53 1

1964 _____ 1 3 6 | 

1

8 7 9 9 1,720 | 1,027 | 693 | 1,323 7 6 0 | 562

1965 _____ 1 58 I 109 9 8 1,809 I 1,076 | 732 | 1,395 803 | 591

1 9 6 6 _____ 2 02 | 130 7 1 1,938 | 1,199 | 793 | 1,507 865 69 1

1967 _____ 2 27 | 137 9 0 2 ,0 8 8 | 1,216 I 872 I 1,691 932 I 708

1968 _____ 17 1 | 1 17 5 3 2 ,1 8 0 | 1,267 | 9 12 | 1 , 7 15 977 | 737

1969 _____ 1 49 | 109 9 0 2 ,2 4 5 | 1,308 | 937 | 1,762 1,011 | 751

1970 _____ 1 67 I 122 9 9 2 ,3 2 7 | 1,362 I 965 | 1,825 1,056 769

197 1 _____ 1 28 I 9 7 3 0 2 ,3 6 6 | 1,389 I 977 | 1,899 1,073 I 77 1

1 97 2 _____ 1 60 I 1 17 9 3 2 ,9 3 5 I 1,939 | 1,000 I 1,893 1,107 I 785

1 973 _____ 1 9 6 j 195 5 1 2 ,5 3 6 I 1,506 1,030 | 1,973 1,167 | 805

1 97 9 _____ 2 28 | 172 5 5 2 ,6 6 6 | 1,603 | 1,062 I

__________ L

2 ,0 8 0 1,250 | 830

8 9

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 49. General industrial machinery and equipment: Historical dollars

(Millions of dollars)

G ro ss in v e s tm e n t G ro ss s to c k s N et s t o c k s

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E qu i p m e n t S t r u c t u r e s

1 94 7 _____ $ 6 5 $45 $20 $225 $135 $89 $199 $121 $78

1 9 4 8 _____ 5 4 3 4 2 0 274 166 108 245 148 9 6

1 94 9 _____ 5 3 3 3 19 321 195 125 287 174 113

1950 _____ 4 8 3 5 13 364 226 137 323 200 123

1 9 5 1 _____ 9 0 5 8 3 1 447 280 167 399 247 152

1 95 2 _____ 1 0 9 7 1 3 7 548 346 202 49 1 305 186

1 9 5 3 _____ 1 0 1 7 0 3 0 640 409 231 57 1 358 212

1 9 5 4 _____ 9 0 7 1 1 9 7 18 470 248 636 408 227

1955. .. . 9 0 7 0 19 795 528 266 697 454 242

1956 _____ 1 3 1 9 3 3 7 909 608 30 1 794 519 274

1 9 5 7 . . . . 134 8 7 4 6 1,024 678 346 889 573 316

1 9 5 8 . . . . 1 15 7 5 4 0 1,118 733 384 960 6 1 1 349

1 95 9 _____ 1 1 0 8 3 2 7 1,202 791 4 10 1,021 651 370

1960 _____ 123 9 1 3 1 1,294 854 440 1,088 694 393

196 1 _____ 9 8 7 5 2 2 1,356 895 460 1 , 1 2 4 7 16 407

1962 _____ 1 2 1 8 7 3 4 1,437 944 492 1,179 747 432

1 9 6 3 . . . . 125 9 8 2 6 1 , 5 16 999 516 1,232 784 448

1 96 4 _____ 1 4 8 1 16 3 1 1 , 6 13 1,068 544 1,303 835 468

1 9 6 5 ... . 201 157 4 4 1,757 1, 172 585 1,422 923 499

1966 . . . . 272 196 7 5 1 , 9 6 7 1,311 656 1,605 1,044 560

1967 _____ 2 9 2 20 1 9 0 2,1 9 1 1,450 740 1,800 1 , 1 6 5 634

1968. .. . 253 189 6 4 2 ,3 7 2 1,573 798 1,948 1,266 681

1969 _____ 2 6 5 207 5 8 2 ,5 5 9 1,709 849 2 ,0 9 9 1,379 720

1970 . . . . 243 180 6 2 2 , 7 18 1 , 8 14 903 2 , 2 19 1,457 761

1 9 7 1 . . . . 246 187 5 8 2 ,8 7 1 1,919 952 2 ,3 3 1 1,533 797

1972 _____ 2 3 3 185 4 7 3 ,0 0 3 2 , 0 14 988 2 , 4 19 1,598 820

1973. .. . 32 1 249 7 2 3 ,2 1 4 2, 166 1 , 0 4 7 2 ,5 8 6 1 ,7 19 866

1 97 4 _____ 4 4 9 326 122 3 ,5 4 3 2 ,3 8 7 1,156 2 ,8 6 9 1,907 96 1 1

Sector 49. General industrial machinery and equipment: Constant dollars

(Millions of 1972 dollars)

Y ea r

G ro s s in v e s tm e n t

— 1

G ro ss s to c k s N et s to c k s

T o ta l E qu i p m e n t S t r u c t u r e s T o ta l

\

E qu i p m e n t S t r u c t u r e s | T o ta l E q u i p m e n t S t r u c t u r e s

1947 _____ $ 142 $98 $44 $62 1 $319 $302 $530 $280 $250

1 9 4 8 . . . . 109 6 3 4 0 7 15 379 336 | 6 16 333 282

1 9 4 9 . . . . 105 6 5 4 0 804 434 369 | 695 380 314

1950 _____ 9 1 6 4 2 7 878 488 389 756 423 332

1 9 5 1 . . . . 157 9 9 5 8 1,016 576 440 | 878 497 38 1

1 9 5 2 . . . . 183 1 17 6 6 1 , 1 7 8 678 500 1,021 584 437 1 5 5 3 . . . . 169 1 15 5 4 1,322 775 547 | 1,144 663 480 1 9 5 4 . . . . 147 112 3 4 1,440 865 574 | 1,237 734 503

1 95 5 _____ 1 4 5 110 3 5 1,551 948 602 1,322 796 525

1 9 5 6 . . . . 193 13 1 6 1 1,706 1,048 657 | 1,448 873 574 1 9 5 7 . . . . 192 1 18 7 4 1,856 1 ,13 1 724 | 1,565 930 634 /

1 9 5 8 . . . . 166 100 6 5 1, 973 1,190 783 1,648 963 684

1 9 5 9 . . . . 153 107 4 5 2 ,0 7 2 1,250 822 1 , 7 10 997 7 13

1960 _____ 1 6 8 115 5 2 2 ,1 7 8 1,311 867 | 1,779 1,031 747

1 9 6 1 . . . . 1 3 3 9 5 3 7 2 ,2 4 2 1,345 897 | 1,806 1,041 765

1 96 2 _____ 16 5 109 5 6 2 ,3 3 0 1,385 944 | 1,859 1,059 300

1 9 6 3 . . . . 166 123 4 2 2 , 4 11 1,433 978 1,907 1, 087 8 1 9 1 964 _____ 1 9 4 144 5 0 2 ,5 1 4 1,496 1,018 | 1,977 1, 132 845

1 96 5 _____ 2 5 9 192 6 7 2 ,6 7 5 1,601 1,074 2 ,1 0 7 1,221 886 1 9 6 6 . . . . 344 233 1 1 1 2 , 9 14 1,742 1,172 | 2 ,3 1 6 1,347 963 1 9 6 7 . . . . 36 3 234 128 3,1 6 6 1,880 1,286 | 2 ,5 3 5 1,469 1,065 1 9 6 8 . . . . 299 212 8 6 3 ,3 4 9 1,992 1,356 | 2 ,6 8 1 1,563 1,118

1 9 6 9 _____ 2 9 8 225 7 2 3 ,5 2 4 2 ,1 1 3 1,411 j 2 ,8 1 7 1,663 1, 154

1970 _____ 2 5 9 188 7 1 3 ,6 5 4 2 ,1 9 1 1,462 | 2 ,9 0 5 1 ,7 18 1, 187 1 9 7 1 . . . . 25 1 189 6 1 3,7 6 7 2 ,2 6 6 1,501 2 ,9 7 4 1,767 1,207 1 9 7 2 ... . 233 185 4 7 3 ,8 5 4 2 ,3 3 0 1,523 | 3 , 0 16 1,804 1 , 2 12 1 9 7 3 . . . . 311 244 6 6 4 ,0 0 8 2,4 4 6 1,562 | 3 ,1 2 8 1,894 1,234

1 9 7 4 . . . . 

_______________

3 9 0 294 9 6 4 ,2 3 3 2 ,6 0 4

_____________________

1 ,628 j 

__________L

3 ,3 0 9 2 ,0 2 5 1,283

90

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 50. Machine shop products: Historical dollars

(Millions of dollars)

Y e a r

-------------------------------------------------------------------------------------------- ” 1

G ro ss in v e s tm e n t

-

G ro ss s to c k s N et s to c k s

T o ta l

-------------------------------------1

E q u i p m e n t I S t r u c t u r e s

I

T o t a l I E q u i p m e n t S t r u c t u r e s T o ta l E qu i p m e n t S t r u c t u r e s

1 9 4 7 . . . . $ 13 $9 I $ 3 0 6 0 | $39 $20 $53 $35 $ 18

1948 . . . . 1 1 6 I 4 69 I 4 5 2 4 6 1 4 0 2 1

1 94 9 _____ 9 6 I 3 77 | 5 0 2 6 6 8 4 4 2 4

1950 . . . . 1 1

I

7 | 4 86 | 5 6 3 0 7 6 4 9 2 7

1 9 5 1 . . . . 2 0 13 I 7 105 I 6 8 3 6 9 3 6 0 3 3

1952 . . . . 2 4 16 | 7 127 I 8 4 4 3 1 13 7 3 3 9

1 9 5 3 . . . . 2 1 15 I 6 146 I 9 7 4 8 130 8 5 4 4

1 95 4 _____ 3 9 2 7 1 1 182 | 123 5 9 163 108 5 4

1 9 5 5 . . . . 4 2 31 I 10 221 I 152 6 9 198 134 6 4

1956 . . . . 5 8 42 I 16 276 I 19 1 8 5 249 170 7 8

1957 . . . . 6 3 44 I 18 336 I 232 103 303 207 9 5

1958 . . . . 9 2 54 I 3 8 424 I 283 14 1 384 252 132

1959 --------- 6 6 4 1 2 5 485 | 319 165 437 282 155

1960 . . . . 5 8 38 I 2 0 537 I 352 185 480 307 172

1 9 6 1 . . . . 6 2 40 I 2 1 592 I 386 205 523 332 19 1

1 9 6 2 . . . . 6 4 4 2 2 2 648 | 421 227 568 357 210

1 9 6 3 . . . . 7 1 50 I 2 0 7 10 | 463 247 6 16 389 226

1 964 _____ 8 2 6 4 17 781 I 517 263 67 1 43 1 239

1 9 6 5 . . . . 8 9 66 | 2 3 857 | 57 1 285 73 1 473 257

1 9 6 6 . . . . 135 7 5 6 0 977 | 632 344 833 52 1 3 11

1 9 6 7 . . . . 177 139 I 3 8 1,135 | 754 380 972 628 343

1 9 6 8 . . . . 150 124 | 2 5 1,263 | 858 404 1, 078 7 16 36 1

1969 _____ 1 3 9 114 I 2 5 1,377 | 949 427 1,169 790 3 /8

1970 . . . . 1 13 91 I 2 1 1,461 | 1,014 447 1,228 837 391

1 9 7 1 . . . . 1 18 97 I 2 0 I 1 , 5 4 6 | 1,081 465 1,287 885 40 1

1 9 7 2 . . . . 150 119 I 3 0 1 1 , 6 5 8 I 1 , 1 6 6 492 1,372 95 1 42 1

1 9 7 3 . . . . 2 18 180 I 3 7 i 1,835 | 1,308 526 1,521 1,073 447

1 97 4 _____ 2 4 6 189 I 5 6 2 ,0 3 4 I

________________ I-------

1 ,456 578

_____________________

1,689 1,198 491

Sector 50. Machine shop products: Constant dollars

(Millions of 1972 dollars)

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s

—

N et s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l I Equ i p m e n t S t r u c t u r e s

I

T o ta l |

I

Equ i p m e n t S t r u c t u r e s

1947 _____ $ 3 3 $25 $ 7 $ 1 80 | $ 108 $7 1 $ 156 | $96

—

$59

1 94 8 _____ 2 4 16 7 200 | 123 7 7 174 I 108 6 5

1949 _____ 2 0 13 7 216 | 134 8 2 186 j 1 16 7 0

1950 _____ 2 3 15 8 235 I 146 8 9 2 0 1 | 125 7 6

195 1 _____ 3 9 2 6 12 269 | 169 9 9 231 | 145 8 6

1 952 _____ 4 4 3 1 12 308 j 197 1 10 264 | 168 9 6

1 95 3 _____ 3 9 2 8 1 1 3 4 1 | 22 1 120 292 | 187 104

1954 _____ 7 0 4 9 2 0 4 04 | 265 138 349 | 227 12 1

1955 _____ 7 3 5 3 19 469 | 313 156 406 I 268 138

1956 _____ 9 2 6 5 2 6 552 I 37 1 180 481 I 320 16 1

1957 _____ 9 5 6 5 2 9 637 | 429 208 556 I 369 187

1958 _____ 1 4 0 7 7 6 3 766 | 496 270 673 | 427 245

1 95 9 _____ 9 9 5 7 4 2 853 | 543 310 746 | 464 282

1 9 6 0 _____ 8 4 5 1 3 3 923 I 582 34 1 8 0 1 I 49 1 309

196 1 _____ 9 0 5 4 3 6 997 | 622 375 858 | 5 18 339

1 96 2 _____ 9 2 5 6 3 6 1,071 | 662 409 9 13 I 544 369

1 9 6 3 _____ 1 0 0 6 6 3 3 1,150 I 7 10 439 972 I 578 394

1 9 6 4 _____ 1 1 1 8 3 2 7 1,237 | 772 464 1,038 | 625 4 13

1 96 5 _____ 1 2 0 8 5 3 5 1,331 I 834 496 1,109 | 670 438

1966 _____ 18 1 9 3 8 8 1,481 I 900 58 1 1,236 I 720 5 16

1967 _____ 2 2 0 166 5 4 1,667 I 1,035 632 1,396 I 837 558

1 968 _____ 1 7 5 14 1 3 4 1,803 | 1,14 1 662 1,505 | 925 579

1 9 6 9 _____ 1 5 8 127 3 1 1,918 | 1,229 689 1,591 | 994 596

1 9 7 0 _____ 1 2 0 9 5 2 4 1,989 | 1,281 708 1,633 | 1 , 0 2 7 606

197 1 _____ 1 2 0 9 8 2 1 2 ,0 5 6 | 1,331 724 1,669 I 1,058 6 1 1

1 97 2 _____ 1 5 0 119 3 0 2 ,1 4 7 | 1,398 748 1,730 I 1,107 623

1 97 3 _____ 2 1 0 175 3 5 2 ,2 9 3 | 1,517 775 1,846 | 1,207 639

1974 _____ 2 12 168 4 4 2 ,4 5 6 |

________________I____

1 ,625 810 1,957 | 1,294 662

91

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 51. Office and computing machines: Historical dollars

(Millions of dollars)

Y e a r

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E qu i p m e n t S t r u c t u r e s

1 9 4 7 _____ $ 3 8 $26 $11 $ 154 $83 $70 $131 $73 $57

1 9 4 8 --------- 3 2 2 4 8 1 8 2 104 7 7 156 9 3 6 3

1 949 _____ 3 0 2 2 7 207 124 8 2 178 109 6 8

1950 _____ 2 2 17 4 223 138 8 5 190 119 7 1

1 951 _____ 4 0 18 2 2 257 152 105 219 128 9 0

1 952 --------- 3 6 2 5 1 1 286 17 1 1 14 242 142 9 9

1 953 --------- 4 6 3 4 12 323 198 125 273 164 109

1 95 4 _____ 4 1 5 2 9 353 221 131 297 182 1 15

1955 _____ 4 6 3 6 9 386 247 139 323 202 121

1956 _____ 9 0 5 3 3 6 46 1 287 173 392 237 155

1957 _____ 16 1 7 9 8 2 606 352 254 529 296 233

1953 _____ 8 5 5 5 2 9 674 392 28 1 537 328 258

1959 _____ 6 5 5 1 14 721 426 294 620 352 268

1960 _____ 9 0 6 6 2 3 790 474 3 16 675 389 286

196 1 _____ 1 10 8 5 2 5 876 537 339 745 440 305

1 96 2 _____ 1 0 7 9 1 16 956 602 353 807 492 3 15

1 9 6 3 _____ 1 2 0 9 8 2 2 1,044 67 1 373 877 546 330

1 96 4 _____ 1 10 9 0 2 0 1,117 726 391 931 588 342

1 96 5 _____ 1 6 9 14 1 2 7 1,245 829 416 1,038 676 362

1966 . . . . 199 149 5 0 1,399 936 463 1, 168 765 403

1967 --------- 1 9 3 149 4 4 1,542 1,038 504 1,235 848 437

1 96 8 --------- 1 9 8 162 3 6 1,685 1,148 536 1,398 936 46 1

1 9 6 9 _____ 3 4 2 268 7 4 1 , 9 6 6 1,359 607 1,645 1,121 523

1970 _____ 3 5 6 268 8 8 2 ,2 5 4 1,563 69 1 1,893 1,295 598

197 1 _____ 3 1 0 232 7 7 2 ,4 8 6 1,723 763 2 ,0 3 0 1,420 660

1 972 --------- 2 8 7 2 16 7 1 2 ,6 8 6 1,858 827 2 ,2 3 0 1,516 714

1 973 _____ 2 8 2 229 5 2 2 ,8 7 0 1,997 873 2 ,3 6 0 1,611 748

1 97 4 _____ 3 7 8 314 6 3 3, 137 2 ,2 0 8 928 2 ,5 6 9 1,777 791

______________________

Sector 51. Office and computing machines: Constant dollars

(Millions of 1972 dollars)

Y ea r

G "o s s in v e s tm e i t G ro ss s to c k s N et s to c k s

T o ta l E qu i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l Equi pm ent S t r u c t u r e s

1 94 7 _____ $ 6 8 $43 $25 $410 $152 $258 $328 $ 132 $ 1 9 5 1 9 4 8 . . . . 5 4 3 8 16 450 184 266 364 16 1

1 9 4 9 . . . . 5 0 3 4 15 486 213 272 395 185 210

1950 _____ 3 5 2 5 9 5 0 5 232 273 408 198 2 1 0 1 9 5 1 . . . . 6 6 2 5 4 1 555 249 305 450 207 242 1 9 5 2 . . . . 5 4 3 4 2 0 59 1 274 3 17 478 223 254 1 9 5 3 . . . . 6 9 4 6 2 2 638 307 330 516 249 267 1 9 5 4 . . . . 6 0 4 4 15 673 335 338 543 269 274

1955 _____ 6 5 4 8 17 7 1 1 364 347 574 292 28 1 1956 . . . . 127 6 6 6 0 809 409 399 664 330 333 1 9 5 7 . . . . 224 9 4 130 1,003 48 1 522 848 394 453 1 9 5 8 . . . . 1 14 6 6 4 8 1 , 0 3 5 523 562 9 17 427 490 1 9 5 9 . . . . 8 4 5 9 2 4 1,136 557 579 952 450 502

1 960 _____ 1 16 7 7 3 9 1,217 606 6 10 1 , 0 15 486 528 1 9 6 1 . . . . 140 9 8 4 1 1,318 673 645 1,097 540 557 1 962 _____ 1 3 2 106 2 6 1,406 742 664 1, 165 595 569 1 9 6 3 . . . . 149 114 3 5 1,507 815 691 1,243 654 589 1 9 6 4 . ___ 1 3 7 105 3 2 1,590 874 715 1,303 6 98 605

1 9 6 5 _____ 2 0 5 163 4 2 1,736 986 749 1,426 795 630 1 9 6 6 . . . . 243 169 7 3 1,916 1,101 8 14 1,579 893 685

1 96 7 _____ 2 2 8 165 6 2 2 ,0 7 6 1,208 867 1,707 979 728 1 96 8 _____ 2 2 5 176 4 8 2 ,2 2 8 1,322 906 1,823 1, 068 755 1 96 9 _____ 3 7 7 285 9 1 2 ,5 2 5 1,537 987 2 ,0 8 1 1,257 824

1970 _____ 3 8 0 279 100 2 ,8 1 6 1,740 1,076 2 ,3 2 7 1,427 899 1 9 7 1 . . . . 3 16 235 8 1 3 ,0 3 4 1,889 1, 145 2 ,4 9 3 1,539 953

1 9 7 2 . . . . 287 216 7 1 3 ,2 1 2 2 , 0 10 1,201 2 , 6 17 1,620 996 1 9 7 3 . . . . 276 227 4 9 3 ,3 6 6 2 ,1 3 1 1,234 2 , 7 13 1,699 1,013

1 9 7 4 . . . . 347 297 5 0 3 ,5 7 7

_______

2 ,3 1 0

_________

1 ,266 2 ,8 6 4 1,833

_________

1 ,031

9 2

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 52. Service industry machines: Historical dollars

(Millions of dollars)

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l E qu i p m e n t S t r u c t u r e s T o ta l E qu i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1947 . . . . $47 $30 $16 $ 156 $78 $78 $132 $69 $63

1 9 4 8 5 6 3 5 2 0 207 1 10 9 6 182 100 8 1

1 94 9 _____ 3 4 2 2 1 2 237 130 107 208 1 17 9 1

1 9 5 0 3 2 2 0 12 264 147 116 232 131 100

1 9 5 1 4 9 2 8 2 1 308 173 135 27 1 153 1 18

IQS? 4 0 2 7 13 342 196 146 299 170 128

1 g m 5 5 3 6 18 389 227 162 340 196 143

1 9 5 4 ! ! . . 7 8 5 1 2 6 458 272 186 402 235 16 6

1 95 5 ---------

1 9 5ft

5 3 4 1 12 502 305 196 437 26 1 175

6 9 4 7 2 2 560 343 216 485 292 1 9 3

1 9 5 7 5 4 3 5 19 60 1 368 233 "516 308 208

1 9 S 8 3 5 2 5 10 623 381 241 « 2 5 3 1 1 213

1 95 9 --------- 4 1 2 8 13 648 395 252 537 3 16 22 1

1 9 6 0 4 7 3 1 16 676 410 266 553 321 232

1 9 ft 1 5 3 4 2 1 1 708 433 275 573 335 237

1 9 6 ? 5 3 3 5 18 736 446 290 589 34 1 248

1 <3ft 5 5 2 3 6 15 762 458 304 604 347 257

1 96 4 --------- 5 3 3 7 16 786 469 317 6 18 352 265

1 9ft 5 8 0 5 5 2 5 836 497 339 657 375 282

19ftft . 127 8 2 4 5 930 550 380 742 424 3 18

1967 . 142 9 1 5 1 1 , 0 3 8 6 10 427 838 478 359

1 9 6 8 154 9 1 6 3 1, 155 669 486 943 53 1 4 1 1

1 96 9 _____ 1 4 0 9 5 4 4 1,256 731 525 1,030 586 443

1 9 7 0 167 104 6 2 1,381 800 581 1, 139 647 492

1 9 7 1 187 137 5 0 1,524 900 624 1,264 7 36 527

1972 . . . 229 181 4 7 1,706 1,042 663 1,425 8 6 5 559

1 9 7 5 .. 246 180 6 6 1,901 1 , 1 8 0 721 1,595 986 609

1 97 4 _____ 2 7 4 210 6 3 2 , 121 1,346 775 1 , 7 8 6 1,131 655

______________________

Sector 52. Service industry machines: Constant dollars

(Millions of 1972 dollars)

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E qu i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1 947 _____ $ 103 $67 $36 $474 $ 188 $285 $376 $ 162 $214

1 948 _____ 1 1 2 7 1 4 1 569 252 3 16 469 224 245

1 949 _____ 6 8 4 2 2 5 6 2 1 289 332 5 16 255 26 1

1950 _____ 6 1 3 7 2 4 666 3 19 346 554 279 275

195 1 _____ 8 6 4 8 3 8 7 3 5 359 375 6 14 31 1 303

1 952 _____ 6 7 4 3 2 3 783 394 388 652 335 3 16

1 953 _____ 9 2 5 8 3 3 853 440 4 12 7 1 1 37 1 339

1954 _____ 1 3 1 8 3 4 7 959 509 450 805 429 376

1 955 _____ 8 6 6 4 2 2 1 ,018 555 462 851 464 386

1956 _____ 1 0 4 6 7 3 7 1,093 602 49 1 9 12 499 4 12

1957 _____ 7 7 4 7 2 9 1,140 628 5 1 1 94 1 5 1 1 430

1 958 _____ 5 0 3 3 17 1 , 1 5 7 637 520 94 1 506 434

1 959 _____ 5 8 3 7 2 1 1, 180 647 532 944 50 1 443

1 9 6 0 _____ 6 6 3 9 2 6 1,207 655 551 953 496 456

196 1 _____ 7 1 5 3 18 1,234 673 560 963 5C3 460

1 962 _____ 7 3 4 4 2 9 1 ,259 678 581 973 499 474

1 9 6 3 _____ 7 1 4 6 2 5 1,278 68 1 597 979 496 483

1 96 4 _____ 7 1 4 6 2 5 1,295 682 6 13 985 493 49 1

1 96 5 _____ 1 0 7 6 8 3 8 1,345 704 641 1,024 511 512

1966 _____ 1 6 5 9 9 6 6 1,452 754 697 1,119 560 559

1 9 6 7 _____ 1 8 0 107 7 3 1,571 812 759 1,228 6 15 6 12

1 968 _____ 1 8 9 103 8 5 1,697 864 832 1,341 665 676

1 9 6 9 _____ 1 6 0 105 5 5 1,792 9 18 874 1,422 7 15 707

1970 _____ 1 8 1 109 7 1 1,905 975 930 1,520 766 753

197 1 _____ 1 9 1 138 5 2 2 ,0 2 7 1,060 966 1,624 844 780

1972 _____ 2 2 9 18 1 4 7 2 , 183 1, 187 996 1,760 960 799

1973 _____ 2 3 8 176 6 1 2 ,3 4 6 1,307 1,038 1,898 1 , 0 6 6 832

1974 _____ 2 4 1 191 4 9 2 ,5 0 7 1,439 1,067

_________

2 ,0 3 3 1 , 1 8 0 852

9 3

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 53. Electric transmission equipment: Historical dollars

(Millions of dollars)

Y ear

Gross in ve s tm e n t Gross sto c ks Net s to c ks

T o t a l

!“

E q u i p m e n t I S t r u c t u r e s T o ta l

I

Equipm ent I S tr u c tu r e s

I

T o ta l Equipm ent I S tr u c tu r e s

1947 . . . . $80 $58 I $22 $475 $207 $267 $360 I $ 178 $ 181

1 9 4 8 . . . . 8 5 59 I 2 5 540 259 28 1 423 I 226 196

1 94 9 _____ 6 0 4 2 17 580 293 287 459 256 203

1 9 5 0 . . . . 6 1 42 I 18 621 328 293 494 284 210

1 9 5 1 . . . . 108 67 I 4 1 708 386 322 575 334 24 1

1952 . . . . 1 15 72 I 4 2 80 1 448 352 659 386 273

1 9 5 3 . . . . 125 86 I 3 8 902 522 379 749 448 30 1

1 95 4 _____ 1 2 4 88 I 3 6 999 596 403 834 507 326

1 9 5 5 . . . . 1 16 62 I 5 3 1, 085 641 444 906 537 368

1956 . . . . 138 108 2 9 1 ,1 9 1 728 462 996 609 386

1957 . . . . 163 105 I 5 7 1,319 809 509 1,105 672 433

1958 . . . . 1 13 78 I 3 4 1,394 860 534 1,160 704 456

1 95 9 _____ 1 2 1 8 3 3 7 1,473 9 1 1 562 1,216 734 482

I 9 6 0 . . . . 140

I

94 I 4 5 1,567 968 598 1,287 77 1 5 15

1 9 6 1 . . . . 147 97 i 5 0 1,662 1,022 640 1,358 806 55 1

1 9 6 2 . . . . 136 102 I 3 4 1,742 1,076 666 1,413 84 1 57 1

1 9 6 3 . . . . 123 9 5 2 8 1,804 1,118 685 1,450 865 584

1 96 4 _____ 1 3 7 105 3 1 1,875 1,165 709 1,496 895 600

1 9 6 5 . . . . 195 153 I 4 2 1,998 1,254 743 1,594 969 625

1 9 6 6 . . . . 267 19 1 1 7 6 2, 189 1,377 811 1,759 1, 077 682

1 9 6 7 . . . . 355 231 I 123 2 ,4 6 2 1,536 926 2 ,0 0 5 1,219 785

1968 . . . . 332 205 126 2 ,7 0 8 1,664 1 , 0 4 3 2 ,2 1 9 1,329 889

1969 --------- 3 4 7 242 105 2 ,9 6 4 1,826 1/138 2 ,4 3 9 1,470 969

1970 . . . . 3 1 1

I

231 | 7 9 3 ,1 7 8 1,973 1,205 2 , 6 13 1,591 1,021

1 9 7 1 . . . . 258 200 | 5 8 3 ,3 3 4 2 ,0 8 3 1,250 2 ,7 2 2 1,672 1,050

1 9 7 2 . . . . 252 194 | 5 8 3 ,4 7 5 2,1 8 1 1,294 2 , 8 15 1>7 3 8 1,076

1 9 7 3 . . . . 320 2 4 1 | 7 9 3 ,6 7 5 2 , 3 19 1,356 2 ,9 6 4 1,841 1,122

1 97 4 _____ 4 0 3 289 I 113 3 ,9 4 8 2 ,4 9 6 1,451 3, 183 1,983 1,200

__________

Sector 53. Electric transmission equipment: Constant dollars

(Millions of 1972 dollars)

Y ear

1

G ross investm e Gross stocks

rNet s to c ks

T o ta l Equi pment S tr u c tu r e s T o ta l E q u i p m e n t S tr u c tu r e s T o ta l E q u i p m e n t S tr u c tu r e s

1 9 4 7 _____ $ 163 $114 $48 $ 1 ,5 7 0 $46 1 $ 1 ,1 0 8 $ 1 ,0 9 0 $389 $70 1 1 9 4 8 . . . . 163 1 1 1 5 1 1,654 553 1,100 1,179 475 703 1 9 4 9 . . . . 1 12 7 6 3 5 1,688 6 1 1 1,077 1 1 , 2 1 5 523 691

1950 _____ 1 12 7 4 3 7 1,723 666 1,056 1 , 2 4 9 566 683 1 9 5 1 . . . . 182 106 7 6 1,827 752 1,075 1 ,35 1 635 7 15 1 9 5 2 . . . . 189 1 13 7 6 1,937 842 1,094 1,455 706 748 1 9 5 3 . . . . 203 134 6 8 2 ,0 5 7 949 1,108 1,568 793 775 1 9 5 4 . . . . 200 135 6 5 2 ,1 7 1 1,052 1,119 1,673 873 800

1 95 5 _____ 1 9 0 9 3 9 6 2 ,2 7 1 1,108 1, 163 1,762 905 857 1 9 5 6 . . . . 197 148 4 9 2 ,3 7 5 1 , 2 13 1,162 1,854 986 868 1 9 5 7 . . . . 228 136 9 1 2 ,5 0 7 1,301 1,205 1,971 1,048 9?? 1958 . . . . 159 102 5 7 2 ,5 6 7 1,349 1,217 2 , 0 13 1,069 943 1 9 5 9 . . . . 16 7 105 6 2 2,6 3 1 1,393 1,238 2 ,0 5 7 1,087 970

1960 _____ 194 1 1 7 7 6 2 ,7 1 8 1,442 1,275 2, 123 1,111 1,011 1 9 6 1 . . . . 204 121 8 3 2 ,8 0 9 1,488 1,321 2 ,1 9 3 1,134 1 , n 5 9

1 9 6 2 . . . . 183 127 5 5 2 ,8 7 5 1,532 1,342 2 ,2 3 7 1,158 1,078 1 9 6 3 . . . . 164 1 19 4 4 2 ,9 1 7 1,561 1,355 2 ,2 5 8 1,170 1,087 1 9 6 4 . . . . 181 130 5 0 2 ,9 7 1 1,596 1,374 2 ,2 9 1 1,191 1, 100

1 96 5 _____ 2 5 1 186 6 4 3 ,0 9 2 1,682 1 , 4 10 2 ,391 1,264 1,126 1 9 6 6 . . . . 342 230 1 12 3 ,3 0 0 1,807 1,493 2 ,5 7 6 1,377 1 9 6 / . . . . 443 269 174 3 ,6 0 6 1,967 1,638 2 ,8 5 5 1,525 1,330 1 9 6 8 . . . . 402 230 171 3 ,8 6 7 2 ,0 8 6 1,781 3 ,0 8 5 1,629 1,456 1969. .. . 397 266 131 4, 120 2 ,2 3 7 1,883 3 ,3 0 2 1,762 1,539

1970 _____ 3 3 4 243 9 0 4 ,3 0 5 2 ,3 6 2 1 , 9 4 3 3 ,4 4 4 1,865 1 , 5 7 8 1 9 7 1 . . . . 265 204 6 1 4 ,4 1 6 2 ,4 4 4 1 , 9 7 2 3 ,5 0 7 1,921 1 T 586 1 9 7 2 . . . . 252 194 5 8 4 ,5 0 6 2 , 5 10 1,996 3 ,5 4 7 1,959 1 f 5 8 8 1 9 7 3 . . . . 3 1 0 236 | 7 3 4 ,6 4 5 2 , 6 13 2 ,0 3 2 3 ,6 3 4 2 ,0 3 0 1 , 6 A 5 1 9 7 4 . . . . 354 265

_________

8 9

_________ 1

4 , 8 18 2 ,7 3 7 2 ,0 8 1 3 ,7 5 4 2 ,1 2 2 1,632

9 4

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 54. Household appliances: Historical dollars

(Millions of dollars)

Year

—

Gross i n v e s t m e n t

— —

Gross stocks Net stocks

1

Total I E q u i p m e n t I S t r u c t u r e s Total Equ i pment Structures

I

Total I

I

E quipment | S t r u c t u r e s

1947 ... . $75 1 $51 I $24 $27 1 $ 133 $ 137 $223 I $ 1 17 I $ 106

1948 ... . 70 | 44 | 25 332 173 158 282 I 155 127

1949 ____ 55 I 35 | 19 378 204 174 324 | 182 | 142

1 950 ... . 56 | 35 | 20 424 235 139 365 I 208 157

195 1____ 80 | 97 | 32 494 276 2 17 428 | 242 l 185

1952---- 54 | 38 | 15 537 303 228 46 1 I 266 195

1953. .. . 86 I 59 I 26 6 10 359 250 523 | 306 | 2 16

1954 ____ 97 | 66 | 3 1 69 1 4 14 277 593 | 351 I 

j

241

1955. .. .

1

77 |

I

57 | 20 750 456 293 639 | 382 | 256

1956 ____ 99 | 68 I 30 827 508 3 19 703 | 422 I 280

1 957 ... . 75 I 51 I 23 878 540 338 739 | 44 1 I 297

1958 ____ 44 I 36 I 7 896 554 342 740 | 442 297

1959 ____ 56 I 39 I 16 922 568 354 750 | 444 | 305

1960 ____ 60 | 47 12 950 586 363 76 1 | 450 3 10

1961.... 46 I 40 I 6 958 593 365 754 I 446 308

1962. .. . 49 | 40 | 8 966 596 370 749 I 44 1 307

1963 ... . 72 I 57 | 14 994 6 13 380 765 I 452 I 3 12

1964---- 78 I 59 I 19 1 , 025 630 395 785 | 464 | 320

1965. .. .

1

121 I 10 1 I 20 1,096 686 4 10 847 I 5 17 I 330

1 966. .. . 1 12 I 84 | 28 1,157 724 433 898 I 552 1 346

1 967 ____ 126 I 90 | 36 1,230 767 463 960 | 591 | 369

1968. .. . 125 | 95 I 30 1,301 815 486 1,018 | 633 335

1 969. .. . 152 | 122 | 29 1,396 889 507 1,100 I 700 | 399

1 970. .. . 166 | 113 52 1,503 952 55 1 1,190 I 754 I 436

1971.... 128 I 97 | 3 1 1,569 997 572 1,238 | 788 I 450

1972. .. . 152 I 1 18 j 34 1,655 1,060 595 1,305 I 838 I 467

1973 ____ 180 I 137 | 43 1,765 1 , 140 625 1,395 I 903 | 49 1

1974 ____ 210 I

____________ I___

148 I 6 1 1,900 1,227 673

_

1,508 |

I

974 | 

___| _

533

Sector 54. Household appliances: Constant dollars

(Millions of 1972 dollars)

Year

Gross investment Gross stocks Net stocks

Total

I

E q u i p m e n t I S t r u c t u r e s Total Equ i pment Structures Total Equi pment Structures

1947 ____ $ 15 1 $98 $52 $806 $288 $517 $6 15 $246 $368

1948 ____ 131 8 1 I 50 904 357 547 7 12 3 12 400

1949 ____ 103 62 | 

1

40 975 408 566 778 357 42 1

1950 ____ 102 59 42 1, 044 456 587 840 395 444

195 1____ 133 73 I 60 1,144 517 627 930 444 485

1952____ 86 59 | 27 1,195 56 1 634 967 473 494

1953---- 137 89 I 47 1,293 632 66 1 1,050 527 522

1954 ____ 154 98 ||

56 1,404 706 697 1, 145 586 559

1955 ____ 121 83 I 37 1,477 76 1 7 15 1,201 623 577

1956 ____ 143 92 I 50 1,568 82 1 747 1,275 666 609

1957 ____ 103 65 | 37 1,6 16 849 766 1,304 677 626

1958____ 58 46 | 12 1,6 17 855 76 1 1,284 665 6 18

1959 ____ 76 49 | 26 1,631 860 77 1 1,278 653 625

1960 ____ 80 58 | 2 1 1,645 868 776 1,272 646 625

196 1____ 59 49 10 1,632 86 1 77 1 1,242 627 6 14

1962 ____ 64 50 | 13 1,6 19 850 769 1,215 609 605

1 963 ____ 94 7 1 I 23 1,633 856 777 1,2 17 6 1 1 606

1964____ 102 72 | 30 1,652 860 792 1,227 6 15 6 12

1965 ____ 152 121 | 31 1,720 913 807 1,287 668 6 18

1 966 ____ 14 1 100 I 4 1 1,776 944 83 1 1,334 700 633

1967 ____ 154 103 I 51 1,844 979 865 1,392 734 657

1968 ____ 146 105 40 1,903 1,016 886 1,439 770 669

1969 ____ 170 133 | 36 1,984 1,081 903 1,507 831 675

1970 ____ 178 1 18 | 59 2,07 1 1 , 130 940 1,579 874 704

197 1____ 131 98 | 32 2,108 1 , 158 949 1,599 894 704

1972____ 152 1 18 | 34 2, 163 1,204 958 1,637 931 706

1973 ____ 174 134 39 2,236 1,265 970 1,693 98 1 7 12

1974____ 184 136 | 48 2,314 1,325 989

_________

1,753 1 , 027 726

95

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 55. Electric wiring and lighting equipment: Historical dollars

(Millions of dollars)

Year

Gross investment Gross stocks Net stocks

i i r

Total I E q u i p m e n t I S t r u c t u r e s I

1 1

Total I E q u i p m e n t 1 S t r u c t u r e s Total E q u i p m e n t I S t r u c t u r e s

1947____ $38 | $27 | $10 | $157 | $86 $7 1 $ 126 $75 I $51

1948.... 34 | 24 | 9 I 185 I 108 I 77 154 96 I 57

1949 ____ 29 | 21 I 8 I 209 | 126 | 82 175 1 12 | 62

1950 ____ 37 | 29 8 I 240 I 152 I 87 204 136 68

1951.... 47 I 30 | 16 I 281 I 180 | 10 1 242 160 j 8 1

1952____ 39 | 25 | 13 I 3 14 j 202 1 1 1 270 177 | 92

1953. .. . 53 | 36 | 16 | 360 I 235 | 124 3 1 1 205 I 105

1954____ 36 | 29 | 7 | 389 | 26 0 | 128 333 224 | 109

1955. .. . 53 | 36 | 16 | 434 | 291 I 142 37 1 248 I 123

1956 ... . 50 I 40 I io | 475 | 324 | 150 404 274 | 130

1957 ____ 55 | 39 | 15 I 519 | 356 163 440 297 | 142

1958____ 43 | 33 | 9 i 550 | 380 I 170 460 3 12 I 148

1959 ____ 48 | 37 | 11 i 584 | 406 | 178 484 328 | 155

1960 ____ 54 | 4 1 13 623 I 433 | 189 5 1 1 347 i 164

196 1____ 51 | 39 | 12 I 656 | 457 | 199 534 362 | 172

1962 ____ 57 | 45 | 1 1 I 693 I 485 I 208 559 380 | 178

1963 .... 63 I 47 | 15 I 733 i 511 i 22 1 588 399 | 189

1964____ 74 I 56 | 17 | 782 | 545 | 237 626 424 | 20 1

1965 ____ 111 i 79 | 32 | 866 | 600 | 266 699 472 | 227

1966 ... . 120 I 92 I 27 | 956 I 665 29 1 778 529 | 248

1 967 ____ 13 1 I 97 | 34 j 1,056 | 733 323 864 589 j 275

1968 ... . 135 | 103 | 3 1 1,156 | 805 | 35 1 95 1 652 I 299

1 969. .. . 14 1 | 1 12 | 29 | 1,261 | 884 | 37 6 1, 040 720 | 3 1 9

1 970. .. . 132 | 97 34 1,354 | 947 406 1,116 77 1 344

197 1____ 126 | 94 3 1 I 1,439 | 1,005 | 433 1,18 1 815 | 365

1972 ____ 162 | 122 I 4 0 | 1,557 | 1,089 | 468 1,278 883 | 394

1973 ____ 207 | 151 I 56 | 1,718 | 1,199 I 5 18 1,415 976 439

1974 ____ 252 I 

__ |___

187 | 65 1 1,920 | 1,343 | 576 1,591 1,100 I 49 1

Sector 55- Electric wiring and lighting equipment: Constant dollars

(Millions of 1972 dollars)

Gross investment Gross stocks Net stocks

Total E q u i p m e n t I S t r u c t u r e s E q u i p m e n t | S t r u c t u r e s T otal E q u i p m e n t I S t r u c t u r e s

1947 . I $85 I $6 1 I $23 I $500 I $221 | $278 I $372 $ 188 $ 184

1948. I 7 1 I 52 | 18 548 I 265 I 233 I 421 230 191

1949. I 59 | 1

43 | 1

16 I

|

586 | 30 0 | 285 | 458 262 195

1 950 .

1

1 73 I 56 16

1

637 I 349 I 287 I 506 305 200

1951 . 1 83 I 52 I 50 1 699 I 394 I 304 | 563 342 220

1952. 1 68 | 44 | 24 1 745 | 430 | 3 15 | 603 369 234

1953. 92 I 63 j 29 1 815 I 483 I 331 | 664 4 1 1 252

1954. 1

|

62 I 49 | 

1

12 1

1

853 I 522 I 331 | 692 437 254

1955.

1

90 | 59 I 30

1

1 9 17 | 568 349 745 470 274

1956 . 1 77 | 59 I 17 1 966 | 6 11 j 354 | 782 500 28 1

1957 . i 80 I 55 I 24 1 1,017 I 648 | 368 | 820 523 296

1953. 1 62 I 46 I 15 1 1,047 j 673 | 373 | 835 533 302

1959. 68 | 50 I 18 1

|

1,080 I 698 | 381 | 854 544 310

1960 . 76 I 54 21

1

1,118 | 724 394 878 557 321

196 1. 1 72 I 52 | 20 1 1,149 | 744 405 j 895 564 330

1962. 1 78 I 60 I 18 1 1,182 I 767 | 4 15 | 9 15 577 338

1 963. 1 87 I 62 I 25 1 1,221 I 789 432 | 942 590 351

1964. 10 1 | 73 | 28 1

1

1,271 | 818 | 452 | 980 6 12 367

1 965 .

1

151 I 102 48

1

1,368 | 874 | 493 I 1,066 662 404

1966 . 156 | 115 I 40 1 1,467 | 940 | 526 | 1,154 722 431

1 967. 1 166 | 1 17 | 49 1,574 | 1,007 | 567 | 1,249 783 466

1968. 1 16 1 | 1 18 | 42 1 1,674 | 1,073 | 60 1 | 1,336 843 493

1969 . 160 | 124 | 36 |

1,772 | 1,144 627 | 1,419 906 512

1 970 .

1

143 I 104 39 1,851 I 1,194 I 657 1,480 945 534

197 1. 1 129 | 96 I 33 1 1,914 I 1,234 | 679 | 1,524 974 549

1972. 1 162 I 122 I 40 1 2,008 I 1,300 I 707 | 1,596 1,026 570

1 973. 1 199 I 147 | 52 1 2,136 | 1,338 | 747 | 1,701 1,099 602

1974. 218 | 167 51 2,279 I 1,495 | 784 | 1,819 1, 187 631

9 6

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 56. Radio, TV, and communication equipment: Historical dollars

(Millions of dollars)

Year

Gross investment; Gross stocks Net stocks

I

Total | E q u i p m e n t Structures Total

T

E q u i p m e n t I S t r u c t u r e s Total

I

E q u i p m e n t I S t r u c t u r e s

1947 ____ $84 I $57 $26 $373 $207 I $ 165 $30 1 $ 174 $ 127

1943____ 64 | 4 1 23 423 239 I 184 347 20 1 I 145

1949 ____ 64 | 42 22 473 27 1 20 1 39 1 228 | 162

1950 ____ 7 1 i 52 18 529 313 I 2 15 439 264 175

1951 ... . 93 I 62 3 1 605 363 I 24 1 507 306 | 200

1952____ 112 I 72 39 698 423 | 275 590 356 | 233

1953. .. . 142 I 96 45 819 503 | 3 15 698 426 I 272

1954 ____ 79 | 55 23 874 54 0 | 333 739 450 | 288

1955 ____ 103 I 72 3 1 950 59 1 359 800 487 | 3 12

1956 ____ 155 | 93 62 1,075 659 I 4 16 908 54 1 | 366

1957 ____ 213 | 127 86 1,254 757 | 497 1 , 068 623 I 444

1958 ____ 170 | 90 79 1,386 8 14 | 57 1 1,178 663 I 5 14

1959 ____ 166 | 112 53 1,509 889 | 620 1,278 720 | 557

1960 ____ 184 | 129 55 1,646 976 | 670 1,389 789 600

1961.... 190 | 1 14 76 1,784 1,042 I 74 1 1,499 835 | 664

1962 . .. . 203 I 139 63 1 , 930 1,129 | 800 1,6 16 902 i 7 14

1963 ____ 234 | 169 64 2,100 1,240 I 859 1,754 99 1 763

1964____ 220 | 168 52 2,250 1,344 | 906 1,870 1,071 | 798

1965 ... . 304 | 243 60 2,477 1,516 960 2,06 1 1,220 840

1 966 ... . 427 | 290 136 2,820 1,729 1,090 2,364 1,407 | 956

1 967 ... . 450 | 325 125 3,179 1,970 I 1,208 2,676 1,618 I 1,058

1968 ... . 450 | 329 120 3,529 2,208 | 1,321 2,973 1,819 j 1,154

1969 ____ 504 | 369 134 3,926 2,479 | 1,446 3,3 C 6 2,045 | 1,260

1970 ... . 445 I 3 17 128 4,253 2,688 | 1,564 3,559 2,202 I 1,357

1971.... 457 I 373 83 4,576 2,940 | 1,636 3,303 2,396 | 1,406

1972. .. . 457 I 360 97 4,884 3,164 I 1,7 19 4,024 2,557 | 1,466

1973 ... . 549 | 437 112 5,263 3,447 | 1,8 16 4,313 2,774 1,538

1974. .. . 597 I 48 1 115 5,669 3,755 | 1,913 4,625 3,014 I

________________ I—

1,611

Sector 56. Radio, TV, and communication equipment: Constant dollars

(Millions of 1972 dollars)

Year

Gross investment

--------------------------------- r

Gross stocks Net stocks

Total

1

E q u i p m e n t 1 S t r u c t u r e s 

________________ 1

Total Equ i pment

I

Structures I

I

Total

r

Equipment | Structures

1947 ____ $ 155 $97 I $58 $1,057 $4 17 $6 3 9 I $803 | $343 I $460

1948____ 1 13 67 | 46 1, 126 464 66 1 | 866 | 382 I 483

1 949. .. . 1 12 66 | 46 1,193 509 684 | 925 | 4 17 | 507

1950 ... . 1 19 80 38 1,266 566 699 | 988 | 464 523

1951 ____ 146 88 | 57 1,363 630 733 | 1,073 I 5 15 I 553

1952____ 172 102 I 69 1,484 704 779 | 1,180 I 575 I 605

1953. .. . 2 16 136 | 80 1,645 308 837 | 1,326 I 664 I 662

1954. .. . 119 76 | 43 1,706 848 857 | 1,368 | 686 | 68 1

1955____ 156 100 55 1,798 908 890 1,442 | 729 7 13

1956 ____ 22 1 1 18 I 103 1,951 980 97 1 | 1,576 | 783 792

1957 ____ 292 155 i 137 2, 170 1, 084 1,086 | 1,774 | 869 j 904

1958 ____ 239 109 | 130 2,332 1,136 1,195 I 1,910 | 902 | 1,008

1959____ 22 1 134 | 87 2,47 1 1,209 1,261 j 2,022 | 954 | 1,068

1960 ____ 244 152 9 1 2,627 1,294 1,332 I 2,150 I 1,019 1,130

1961.... 262 135 I 126 2,796 1,357 1,439 | 2,288 | 1,061 | 1,226

1962 ____ 270 166 I 104 2,969 1,445 1,523 | 2,426 | 1,128 | 1,298

1 963 ____ 305 20 1 | 104 3,169 1,562 1,607 j 2,591 | 1,223 I 1,367

1 964. .. . 282 200 | 82 3,34 1 1,671 1,669 | 2,724 | 1,310 | 1,4 13

1965 ____ 383 290 | 92 3,605 1,864 1,741 | 2,947 | 1,480 1,467

1 966 ____ 542 342 | 200 4,022 2,102 1,919 I 3,318 | 1,692 I 1,625

1 967 ... . 546 369 I 176 4,435 2,362 2,073 | 3,677 | 1,919 | 1,757

1968____ 529 365 I 163 4,823 2,6 10 2,213 | 4,001 | 2,129 | 1,871

1969____ 563 397 | 166 5,237 2,883 2,354 | 4,340 | 2,354 | 1,985

1 970 ____ 480 334 | 145 5,555 3,081 2,473 4,572 I 2,497 2,075

197 1____ 465 377 | 87 5,84 1 3,310 2,531 | 4,766 I 2,664 2,102

1972 ____ 457 360 | 97 6, 102 3,505 2,597 | 4,929 | 2,794 2,135

1973____ 536 432 I 103 6,4 19 3,753 2,665 I 5,148 | 2,976 2,17 1

1974 ____ 540 450 | 90 6,7 17 3,999 2,718 | 5,346 I 3,155 I

__________ L

2,19 1

9 7

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 57. Electronic components and accessories: Historical dollars

(Millions of dollars)

Y e a r

—

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

—

T o ta l E q u i p m e n t S t r u c t u r e s T o t a 1 E q u i p m e n t S t r u c t u r e s T o ta l E qu i p m e n t S t r u c t u r e s

1947 . . . . $19 $ 12 $ 7 $ 143 $77 $66 $ 1 13 $63 $50

1 9 4 8 . . . . 15 8 6 152 8 2 7 0 12 1 6 6 5 4

1 94 9 _____ 15 9 6 162 8 7 7 4 129 7 0 5 8

1950 . . . . 16 1 1 5 172 9 5 7 7 137 7 6 6 1

1 9 5 1 . . . . 2 1 13 8 187 103 8 3 150 8 2 6 7

1 9 5 2 _____ 2 6 15 10 206 1 14 9 2 167 9 1 7 5

1 95 3 _____ 3 2 2 0 12 231 129 102 190 104 8 5

1 95 4 _____ 5 4 3 8 16 277 16 1 116 233 134 9 8

1 95 5 _____ 5 7 4 0 17 326 195 13 1 278 165 113

1956 _____ 7 8 4 7 3 1 395 235 160 344 202 14 1

1957 _____ 7 1 4 2 2 9 457 27 1 186 400 233 166

1958. . . . 7 5 5 5 2 0 522 318 204 457 275 182

1 95 9 --------- 1 17 8 5 3 1 628 394 233 554 344 210

1 9 6 0 _____ 1 5 1 1 15 3 6 768 500 268 682 440 242

196 1 _____ 1 5 4 1 12 4 2 909 600 308 808 529 279

1 9 6 2 . . . . 155 1 19 3 6 1,049 707 342 930 620 309

1 96 5 _____ 1 7 6 129 4 6 1,209 822 386 1,067 717 349

1 96 4 _____ 2 1 2 147 6 5 1,401 95 1 449 1,232 825 407

1965 _____ 2 6 4 196 6 7 1,641 1,126 514 1,441 974 466

1966 . . . . 395 304 9 0 2 ,0 0 7 1,405 602 1,770 1,222 548

1967 _____ 3 7 4 274 9 9 2 ,3 4 6 1,648 698 2 ,0 6 5 1,429 636

1 96 8 _____ 3 3 0 248 8 1 2 ,6 3 5 1,857 777 2 ,3 0 2 1,596 705

1 96 9 _____ 4 0 4 322 8 1 2 ,9 8 9 2 , 134 855 2 ,5 9 8 1,825 772

1970 _____ 3 5 9 289 7 0 3 ,2 9 0 2 ,3 6 8 921 2 ,8 3 2 2 ,0 0 5 826

1 9 7 1 . . . . 338 246 9 1 3 ,5 5 8 2 ,5 5 0 1,008 3 ,0 2 7 2 ,1 2 6 900

1 97 2 _____ 3 4 4 287 5 7 3 ,8 2 0 2 ,7 6 0 1 , 0 5 9 3 ,2 1 0 2 ,2 7 2 938

1 97 3 _____ 6 2 9 508 121 4 ,3 5 1 3, 176 1,175 3 ,6 6 0 2 ,6 2 2 1,037

1 974 _____ 7 8 6 629 156 5 ,0 2 3

_______

3 ,6 9 8 1,324 4 ,2 4 2 3 ,0 7 2

__________

1 , 169

__________

Sector 57. Electronic components and accessories: Constant dollars

Y ea r

G "o ss in v e s tm e n t G ro ss s to c k s N et s t o c k s

T o ta l Equ i p m e n t S t r u c t u r e s T o ta l E qu i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1 94 7 _____ $ 4 0 $25 $15 $454 $ 189 $265 $344 $ 152 $ 1 9 2

1 9 4 8 . . . . 2 9 16 12 465 197 267 352 156 195

1 9 4 9 . . . . 2 9 16 13 476 205 27 1 359 160 199

1950 _____ 3 0 19 10 486 214 27 1 366 166 200

1951 _____ 3 7 2 1 15 503 225 277 379 173 206

1 95 2 _____ 4 3 2 4 19 525 237 287 398 182 216

1953 _____ 5 4 3 2 2 2 5 5 6 257 299 426 198 228

1 9 5 4 . . . . 8 8 5 9 2 9 621 302 3 19 488 240 247

1 955 _____ 9 2 6 1 3 1 689 349 340 552 283 268

1956 _____ 1 18 6 6 5 2 783 399 383 64 1 330 310

1957 _____ 102 5 6 4 6 859 439 4 19 7 1 1 365 346

1 95 8 _____ 1 0 4 7 2 3 2 938 494 443 781 4 13 367

1 95 9 _____ 1 6 3 110 5 2 1,074 587 486 906 497 408

1 9 6 0 _____ 2 0 6 145 6 0 1,252 7 13 538 1,070 6 12 457

196 1 _____ 2 1 4 143 7 0 1,436 836 600 1,235 720 515

1 96 2 _____ 2 1 0 151 5 9 1 ,6 14 964 650 1,390 830 560

1 96 3 _____ 2 3 9 164 7 5 1,819 1, 102 7 17 1,567 946 621

1 9 6 4 _____ 2 9 0 186 103 2 ,0 7 1 1,260 8 1 1 1,786 1,077 708

1 96 5 _____ 3 4 9 245 104 2 ,3 7 8 1,472 906 2 ,0 5 3 1,258 795

1 9 6 6 . . . . 504 37 1 133 2 ,8 3 4 1,804 1,030 2 ,4 6 3 1,553 909

1 96 7 _____ 4 6 5 323 142 3,2 4 4 2 ,0 8 1 1 , 1 6 2 2 ,8 1 6 1,786 1,030

1 96 8 _____ 3 9 2 281 1 10 3 ,5 7 2 2 ,3 0 9 1,262 3 ,0 8 0 1,963 1,117

1 96 9 _____ 4 5 6 354 102 3 ,9 5 4 2 ,6 0 0 1,354 3,391 2 ,1 9 7 1, 193

1970 _____ 3 8 7 307 7 9 4 ,2 5 6 2 ,8 3 3 1,422 3 , 6 13 2 ,3 6 7 1,245

1 97 1 _____ 3 4 8 251 9 6 4 ,5 0 6 2 ,9 9 8 1,507 3 ,7 7 5 2 ,4 6 4 1,311

1 972 _____ 3 4 4 287 5 7 4 ,7 3 6 3, 184 1,551 3 ,9 1 5 2 ,5 7 9 1,335

1 9 7 3 _____ 6 10 498 1 12 5 , 2 15 3 ,5 6 5 1,650 4 ,3 0 0 2 ,8 8 7 1,413

1 9 7 4 . ___ 6 9 4 572 122 5 ,7 5 8 4 ,0 0 1 1,757 4 ,7 4 5 3 ,2 4 8 1,497

98

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 58. Miscellaneous electrical machinery: Historical dollars

(Millions of dollars)

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l Equi pm ent S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1 9 4 7 _____ $ 2 3 $ 16 $ 7 $88 $53 $35 $75 $47 $27

1 94 8 _____ 2 9 2 2 6 1 14 7 4 4 0 100 6 7 3 2

1 94 9 --------- 19 15 4 130 8 7 4 2 114 7 8 3 5

1950 _____ 17 13 3 144 9 9 4 5 126 8 8 3 7

195 1 _____ 3 9 2 3 16 180 120 5 9 158 106 5 2

1952 _____ 4 1 2 5 16 2 17 142 7 4 192 125 6 6

1 95 3 _____ 3 9 2 3 15 25 1 163 8 8 222 142 8 0

1954 --------- 3 5 2 8 7 28 1 187 9 3 246 16 1 8 5

1955 _____ 3 3 2 8 5 308 2 10 9 7 268 179 8 8

1956 --------- 4 3 3 5 8 3 4 5 240 104 298 203 9 4

1957 _____ 2 6 2 1 4 362 254 107 308 212 9 6

1958 --------- 2 2 17 5 375 263 1 1 1 313 214 9 9

1 95 9 _____ 2 4 19 5 389 273 1 15 319 218 10 1

1960 _____ 2 9 2 4 5 4 0 6 286 120 329 224 104

196 1 _____ 3 3 2 3 9 4 2 5 297 128 340 229 1 10

1962 --------- 3 9 3 1 8 448 314 134 356 24 1 1 15

1 96 3 _____ 3 7 2 9 8 469 326 142 369 248 12 1

1964 _____ 4 2 3 3 9 492 342 150 386 260 126

1 96 5 _____ 5 5 3 9 1 5 526 362 164 414 276 137

1966 _____ 6 4 5 2 1 1 569 395 173 450 305 144

1967 . . . . 104 7 2 3 2 649 445 204 524 352 172

1968. .. . 1 10 8 2 2 7 735 505 229 602 407 194

1 9 6 9 _____ 9 6 7 2 2 3 804 554 250 662 4 5 0 21 1

1 9 7 0 . . . . 1 10 8 7 2 2 887 6 17 270 734 506 227

197 1 _____ 9 5 7 1 2 4 953 662 290 788 543 244

1 9 7 2 _____ 9 3 7 3 2 0 1,015 709 306 836 579 257

1 9 7 3 _____ 1 7 3 133 3 9 1, 156 8 14 342 96 1 672 289

1 974 _____ 2 5 7 204 5 3

__________

1 ,377

_______

9 8 7 390 1, 164

_______

8 3 1

__________

3 3 3

Sector 58. Miscellaneous electrical machinery: Constant dollars

(Millions of 1972 dollars)

Y ea r

G ro ss in v e s tm e n t

r

G ro ss s to c k s

--------------------------------------------------------------------------------------------------------

N et s to c k s

T o ta l

I I

E q u i p m e n t I S t r u c t u r e s |

I

T o ta l |

I

:qi/i p m e n t S t r u c t u r e s T o t a l E q u i p m e n t S t r u c t u r e s

1947 _____ $ 4 8 $33 I $15 $245 | $ 1 19 $126 $196 $104 $92

1 94 8 _____ 5 6 43 I 12 I 293 | 159 133 242 142 9 9

1 94 9 _____ 3 6 2 7 8 I 319 | 183 136 265 162 103

1 9 5 0 _____ 3 1 24 I 6 I 341 | 203 138 283 177 105

1 95 1 _____ 6 7 37 I 29 | 3 9 8 | 236 162 335 205 130

1 95 2 _____ 6 8 40 | 28 | 456 | 270 185 387 233 153

1 9 5 3 _____ 6 4 37 | 26 | 509 | 30 1 207 432 256 175

1954 _____ 5 6 43 | 12 I 552 | 337 2 15 467 284 182

1 95 5 _____ 5 2 4 2 9 I 589 I 369 219 4 95 308 186

1956 _____ 6 3 4 9 I 13 | 636 | 407 228 531 337 194

1 957 _____ 3 5 28 | 7 | 652 | 421 231 537 34 1 195

1 95 8 _____ 3 0 22 I 8 I 663 | 428 235 537 338 198

1 95 9 _____ 3 3 2 5 | 8 I 674 | 435 239 537 336 200

1960 _____ 3 9 3 0 9 I 689 | 444 244 54 1 337 203

196 1 _____ 4 5 3 0 I 15 707 | 451 256 549 336 2 12

1 96 2 _____ 5 2 39 I '2 | 729 | 465 264 562 344 2 18

1963 _____ 5 0 36 I 14 j 747 | 472 275 572 347 225

1 96 4 _____ 5 6 41 I 14 | 769 | 484 285 587 355 231

1 965 _____ 7 2 4 9 | 2 3 806 | 50 1 304 6 16 370 246

1 9 6 6 _____ s o 63 I 17 I 849 | 532 317 653 398 254

1967 _____ 1 2 9 83 | 46 | 940 | 582 358 738 446 29 1

1 968 _____ 1 3 0 92 I 37 I 1,030 | 640 389 820 502 3 17

1 9 6 9 _____ 1 0 9 79 | 29 | 1,098 | 684 413 879 542 336

1970 _____ 1 1 8 92 I 2 5 1,173 | 741 432 944 594 350

197 1 _____ 9 7 72 I 25 | 1,227 | 777 449 985 623 362

1 97 2 _____ 9 3 73 | 20 I 1,275 | 813 46 1 1,020 650 369

1 973 _____ 1 6 8 131 I 3 7 1,396 | 906 489 1 , 1 2 5 732 392

1 97 4 _____ 2 2 7 185 |

_____________________ 1___

4 1

_______ L

1 , 5 7 4 | 

______________ 1____

1 ,052 521 1,285 865 420

9 9

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 59. Motor vehicles: Historical dollars

(Millions of dollars)

G ro ss in v e s tm e n t

—

G ro ss s to c k s N et s to c k s

T o ta l E qu i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l

_______

E q u i p m e n t S t r u c t u r e s

1 9 4 7 . . . . $280 $204 $75 $ 1 ,7 3 2 $ 1 ,0 0 3 $728 $ 1 ,4 51 $862 $588

1 9 4 8 . . . . 335 278 5 6 2 ,0 1 4 1,247 766 1 ,7 14 1,090 624

1 94 9 _____ 18 1 151 2 9 2 , 143 1,364 778 1 ,8 14 1,181 632

1950 _____ 2 5 9 207 5 2 2 ,3 4 9 1,535 8 13 1 , 9 8 4 1,319 664

195 1 _____ 4 14 28 1 133 2 ,7 0 5 1,776 928 2 ,2 9 5 1,519 776

1 95 2 _____ 4 1 1 262 149 3 ,0 4 9 1 , 9 8 9 1,059 2 ,5 8 6 1,684 902

1 9 5 3 . . . . 46 1 397 6 3 3 ,4 2 9 2 ,3 2 5 1,104 2 ,9 1 0 1,968 94 1

1 95 4 _____ 6 8 7 585 10 1 4 ,0 2 3 2 ,8 3 5 1, 187 3 ,4 4 1 2 ,4 2 3 1 ,0 18

1 9 5 5 . . . . 57 1 457 1 14 4 ,4 8 7 3 ,2 0 4 1,283 3 ,8 3 3 2 ,7 2 7 1, 106

1956 _____ 1 ,008 8 16 19 1 5 ,3 7 7 3 ,9 2 0 1,456 4 ,6 3 9 3 ,3 6 9 1,269

1957 _____ 6 5 5 555 100 5 ,9 0 3 4 ,3 6 4 1,538 5 ,0 5 7 3 ,7 1 9 1,338

1958. .. . 322 255 6 7 6 ,081 4 ,4 9 2 1,588 5 ,1 1 1 3 ,7 3 7 1,373

1 95 9 _____ 3 4 9 292 5 6 6 ,2 6 4 4 ,6 3 5 1,628 5, 163 3,7 6 7 1,396

1960 . . . . 444 349 9 5 6 ,5 1 3 4 ,8 0 8 1,705 5 ,2 7 9 3 ,8 2 5 1,454

1 9 6 1 . . . . 396 300 9 6 6 ,6 8 2 4 ,8 9 9 1,783 5 ,3 2 0 3 ,8 0 9 1,510

1 9 6 2 _____ 4 7 0 343 127 6 ,8 8 9 4 ,9 9 7 1,891 5 , 4 10 3 ,8 1 4 1,596

1 96 3 _____ 6 14 480 133 7 ,2 0 8 5 ,2 0 3 2 ,0 0 5 5 ,6 2 6 3 ,9 4 2 1,684

1964 _____ 8 4 6 669 176 7 ,7 3 5 5 ,5 7 5 2 ,1 6 0 6 ,0 5 6 4 ,2 4 5 1,811

1 96 5 _____ 1 ,169 837 332 8 ,5 6 4 6 ,0 9 5 2 ,4 6 8 6 ,7 9 0 4 ,7 0 0 2 ,0 8 9

1966 . . . . 1,101 840 26 1 9 ,3 0 8 6 ,6 0 4 2 ,7 0 3 7 ,4 2 9 5 ,1 3 8 2 ,2 9 1

1967 _____ 8 7 1 643 227 9 ,8 0 4 6,901 2 ,9 0 2 7 ,8 1 0 5 ,3 5 6 2 ,4 5 3

1 96 8 _____ 8 17 632 184 10,222 7 , 167 3 ,0 5 5 8 ,1 0 9 5 ,5 4 2 2 ,5 6 7

1 96 9 _____ 1 ,046 781 264 10,842 7 ,5 5 7 3 ,2 8 4 8 ,6 0 9 5 ,8 5 2 2 ,7 5 6

1970 _____ 927 7 3 2 195 11,310 7 ,8 7 0 3 ,4 4 0 8 ,9 5 7 6 ,0 8 7 2 ,8 6 9

1 9 7 1 . . . . 783 620 162 11,601 8 ,0 4 3 3 ,5 5 8 9,131 6, 186 2 ,9 4 5

1 97 2 _____ 2 ,0 9 4 1,921 172 13,174 9 ,4 9 3 3 ,6 8 1 10,592 7 ,5 6 7 3 ,0 2 5

1 97 3 _____ 1 ,898 1,625 272 14,527 10,628 3 ,8 9 9 11,806 8 ,6 0 5 3 ,2 0 1

1 97 4 _____ 2 ,3 9 8 2 ,0 8 7 310 16,362 12,211

__________

4 , 150 13,468 1

10,060

__________

3 ,4 0 8

Sector 59. Motor vehicles: Constant dollars

(Millions of 1972 dollars)

Y ear

G ro s s in v e s tm e n t G ro ss s to c k s

—

N et s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1 947 _____ $ 621 $454 $166 $ 5 , 151 $ 2 ,4 8 3 $ 2 ,6 6 8 $ 4 ,1 0 5 $ 2 ,0 8 8 $ 2 ,0 1 6

1 94 8 _____ 6 8 0 568 1 1 1 5 ,6 4 6 2 ,9 5 2 2 ,6 9 3 4 ,5 6 6 2 ,5 2 3 2 ,0 4 3

1 9 4 9 . . . . 357 297 5 9 5 , 8 19 3 , 151 2 ,6 6 8 4 ,6 8 7 2 ,6 6 8 2 , 0 18

1950 _____ 4 9 9 390 109 6 ,1 3 5 3 ,4 4 2 2 ,6 9 2 4 ,9 3 2 2 ,8 8 9 2 ,0 4 3

1951 . . . . 722 476 246 6 ,6 6 4 3 , 8 10 2 ,8 5 3 5 ,3 7 7 3 ,1 7 1 2 ,2 0 5

1 9 5 2 . . . . 703 437 265 7, 154 4 ,1 1 8 3 ,0 3 5 5 ,7 7 1 3 ,3 8 5 2 ,3 8 5

1 9 5 3 . . . . 764 650 113 7 ,6 7 9 4 , 6 13 3 ,0 6 6 6 ,1 9 8 3 ,7 8 6 2 , 4 12

1954 . . . . 1,113 929 184 8 ,5 2 6 5 ,3 5 8 3, 168 6 ,9 4 5 4 ,4 3 6 2 ,5 0 8

1 955 _____ 921 7 1 3 207 9, 157 5 ,8 6 2 3 ,2 9 4 7 ,4 6 4 4 ,8 3 6 2 ,6 2 7

1956 . . . . 1,468 1, 150 318 10,315 6 ,7 8 3 3 ,5 3 2 8 ,4 9 9 5 ,6 4 3 2 ,8 5 5

1957 _____ 9 0 8 750 158 10,898 7 ,2 8 6 3 , 6 11 8 ,9 2 7 6 ,0 0 7 2 ,9 2 0

1 9 5 8 _____ 4 4 6 335 110 10,996 7 ,3 5 0 3 ,6 4 5 8 ,8 5 0 5 ,9 1 5 2 ,9 3 4

1 9 5 9 . . . . 474 379 9 4 11,091 7 ,4 2 6 3 ,6 6 4 8 ,7 6 5 5 ,8 3 4 2 ,9 3 1

1960 _____ 6 0 0 44 1 158 11,269 7 ,5 2 2 3 ,7 4 7 8 ,7 6 8 5 ,7 8 0 2 ,9 8 7

196 1 _____ 5 4 0 380 160 11,339 7 ,5 0 8 3,8 3 1 8 ,6 7 8 5 ,6 3 5 3 ,0 4 2

1 96 2 _____ 6 4 2 434 208 11,462 7 ,4 9 9 3 ,9 6 2 8 ,6 6 6 5 ,5 2 4 3, 142

1 9 6 3 . . . . 823 607 215 11,726 7 ,6 2 6 4 ,0 9 9 8 ,8 2 1 5 ,5 7 6 3 ,2 4 4

1 96 4 _____ 1 ,116 837 279 12,255 7 ,9 5 5 4 ,2 9 9 9 ,2 5 5 5 ,8 5 0 3 ,4 0 5

1 96 5 _____ 1 ,544 1,033 510 13,190 8 ,4 6 3 4 ,7 2 7 1 0,102 6,3 1 1 3 ,7 9 1

1 9 6 6 . . . . 1,396 1,012 383 13,963 8 ,9 3 9 5 ,0 2 3 10,779 6 ,7 3 7 4 ,0 4 2

1967 _____ 1 ,069 748 320 14,392 9, 138 5 ,2 5 3 11,103 6 ,881 4 ,2 2 2

1968 _____ 960 7 10 249 14,692 9 ,2 8 5 5 ,4 0 7 11,296 6 ,971 4 ,3 2 4

1 96 9 _____ 1 , 185 858 326 15,190 9 ,5 5 8 5 ,6 3 2 1 1 , 6 9 0 7 ,1 9 3 4 ,4 9 7

1970 _____ 9 9 2 770 221 15,465 9 , 7 18 5 ,7 4 7 1 1 , 8 6 5 7 ,3 0 6 4 ,5 5 8

1 97 1 _____ 7 98 627 170 15,514 9 , 7 11 5 ,8 0 3 1 1 , 8 2 4 7 ,2 6 0 4 ,5 6 3

1 9 7 2 . . . . 2 ,0 9 4 1,921 172 16,836 10,982 5 ,8 5 3 13,066 8 ,5 0 1 4 ,5 6 4

1 97 3 _____ 1 ,846 1,593 252 17,894 11,917 5 ,9 7 6 14,019 9 ,3 7 8 4 ,6 4 0 1 97 4 _____ 2 ,1 2 3 1,88 1 242 19,219 13,135 6 ,0 8 4 1 5,212 10,510

__________

4 ,7 0 2

1 0 0

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 60. Aircraft and parts: Historical dollars

(Millions of dollars)

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E qu i p m e n t S t r u c t u r e s

1 9 4 7 . . . . $34 $22 $11 $ 1 ,0 30 $567 $462 $887 $470 $416

1948. .. . 4 9 2 9 2 0 1,055 576 479 889 462 427

1 94 9 _____ 5 0 3 0 2 0 1,076 581 495 890 452 437

1950 _____ 5 3 3 6 17 1,096 587 508 890 446 444

1 9 5 1 _____ 1 7 7 8 4 9 2 1,236 638 597 1,012 485 526

1 9 5 2 . . . . 231 8 9 14 1 1,427 692 735 1 , 1 8 4 528 655

1 95 3 _____ 1 8 6 9 6 8 9 1,569 749 820 1,306 575 731

1 95 4 _____ 1 5 2 9 5 5 6 1,675 802 872 1,390 6 19 77 1

1 95 5 _____ 2 0 3 125 7 8 1,828 882 945 1,520 689 831

1956 _____ 3 4 8 20 1 146 2,1 2 1 1,036 1, 085 1,789 832 957

1957 _____ 3 9 6 222 174 2 ,4 5 9 1,206 1,252 2 ,0 9 7 989 1,108

1958 _____ 2 0 7 129 7 7 2 ,6 0 2 1,280 1,321 2 ,2 0 6 1,046 1,160

1 95 9 _____ 20 1 1 2 8 7 3 2 ,7 3 5 1,349 1,385 2 ,3 0 1 1,096 1,204

1960 _____ 1 7 9 124 5 4 2 ,8 4 0 1 , 4 10 1,429 2 ,3 6 4 1,135 1,228

196 1 _____ 2 2 7 150 7 7 2 ,9 8 6 1,492 1,494 2 ,4 6 5 1,193 1,272

1 96 2 _____ 2 9 2 189 102 3,1 9 0 1,607 1,582 2,6 2 1 1,282 1,339

1 96 3 _____ 2 9 5 192 102 3 ,3 8 7 1,718 1,669 2 ,7 6 9 1,365 1,403

1964 _____ 2 6 4 205 5 9 3 ,5 4 5 1,834 1 ,7 10 2 ,8 7 5 1,454 1,421

1965 _____ 3 1 2 206 105 3 ,7 4 2 1, 946 1,796 3 ,0 2 0 1,537 1,482

1 9 6 6 _____ 6 8 5 415 270 4 ,3 0 5 2 ,2 6 1 2 ,0 4 4 3 ,5 2 6 1,820 1,705

1967. .. . 799 547 252 4 ,9 7 3 2 ,7 0 1 2 ,2 7 1 4 ,1 2 9 2 ,2 2 3 1,906

1968. .. . 625 464 16 1 5 ,4 5 6 3,051 2 ,4 0 4 4 ,5 3 4 2 ,5 2 3 2 ,0 1 0

1 96 9 --------- 6 6 8 479 188 5 ,9 6 9 3 ,406 2 ,5 6 2 4 ,9 5 9 2 ,821 2 ,1 3 7

1 9 7 0 _____ 4 13 293 120 6 ,2 1 3 3 ,5 6 3 2 ,6 4 9 5 ,1 0 4 2 ,9 1 1 2 ,1 9 2

1 9 7 1 . . . . 237 197 3 9 6 ,2 6 2 3 , 6 10 2 ,6 5 2 5 ,0 4 8 2 ,8 8 5 2, 163

1 97 2 _____ 1 9 9 163 3 5 6 ,2 5 0 3 ,6 0 3 2 ,6 4 7 4 ,9 3 3 2 ,8 0 6 2, 126

1973 _____ 2 8 4 217 6 6 6 ,2 9 7 3 ,6 2 8 2 ,6 6 9 4 ,8 8 4 2 ,7 6 5 2 ,1 1 8

1974 --------- 3 2 0 257 6 3 6 ,3 5 3 3 ,6 6 8 2 ,6 8 4 4 ,8 5 5 2 ,751 2, 103

Sector 60. Aircraft and parts: Constant dollars

(Millions of dollars)

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l Equi pm ent S t r u c t u r e s

n

T o ta l |

I

E qu ip m e n t I S t r u c t u r e s T o ta l E q u ip m e n t 1 S t r u c t u r e s

1947 _____ $ 7 2 $47 $24

I

$ 3 ,1 2 3 I $ 1 ,3 9 8 $ 1 ,7 2 4 $ 2 ,6 6 9

b

$ 1 ,1 4 8 $ 1 ,5 2 0

1948 _____ 9 5 5 6 3 9 3 ,1 4 9 | 1,400 | 1,748 2 ,6 3 5 1,110 1,524

1949 _____ 9 6 5 6 4 0 3 ,1 6 3 | 1,391 1,772 2 ,5 9 4 1,066 1,527

1950 _____ 1 0 0 6 4 3 5 3,1 7 1 | 1,379 1,791 2 ,5 5 0 1,025 I 1,524

1951 _____ 3 0 7 136 17 1 3 ,3 7 7 I 1,432 1,945 2 ,7 0 8 1,053 1,654

1952 _____ 3 9 5 142 252 3 ,6 6 3 | 1,483 2 ,1 7 9 2 ,9 4 7 1 ,085 | 1,862

1953 _____ 3 14 154 160 3,8 6 1 | 1,540 2,3 2 1 3 ,0 9 7 1,125 I 1,972

1954 _____ 2 5 1 149 102 3 ,9 9 0 j 1,586 | 2 ,4 0 3 3 ,1 7 7 1,158 | 2 , 0 19

1955 _____ 3 3 2 190 142 4 ,1 9 0 | 1,668 2 ,5 2 2 3 ,3 3 2 1,230 I 2 ,1 0 1

1956 _____ 5 2 1 277 243 4 ,5 7 0 | 1,831 I 2 ,7 3 9 3 ,6 6 7 1,386 I 2 ,2 8 0

1957 _____ 5 6 9 293 276 4 ,9 9 0 I 2 ,0 0 5 2 ,9 8 5 4 ,0 3 9 1,553 2 ,4 8 5

1958 _____ 2 9 6 169 126 5 ,1 2 9 I 2,0 5 1 3,077 4 ,1 2 4 1,589 2 ,5 3 4

1959 _____ 287 166 121 5 ,2 5 2 j 2 ,091 3 ,1 6 0 4 ,1 9 2 1 ,6 18 2 ,5 7 3

1 9 6 0 _____ 2 4 8 156 9 1 5 ,3 2 6 I 2 ,1 1 9 3 ,2 0 7 4 ,2 0 9 1,632 I 2 ,5 7 6

196 1 _____ 3 16 188 128 5,4 6 1 | 2, 175 3 ,286 4 ,2 8 5 1,672 I 2 , 6 12

1962. .. . 406 238 167 5 ,6 7 6 | 2 ,2 7 7 | 3 ,3 9 8 4 ,4 3 9 1,756 I 2 ,6 8 3

1 9 6 3 . . . . 403 237 165 5 ,8 7 8 | 2 ,3 7 4 | 3 ,5 0 3 4 ,5 7 9 1,832 | 2 ,7 4 7

1 9 6 4 _____ 347 2 5 3 9 3 6 ,0 1 3 | 2 ,4 8 2 | 3 ,5 3 0 4 ,6 5 3 1,918 2 ,7 3 4

1 9 6 5 _____ 4 1 4 252 162 6 ,2 0 7 | 2 ,5 8 6 3 ,6 2 0 4 ,7 8 3 1,996 I 2 ,7 8 6

1 9 6 6 _____ 8 9 0 494 396 6 ,8 6 7 I 2 ,9 3 0 3,937 5 ,3 7 9 2 ,3 1 0 I 3 ,0 6 8

1 9 6 7 --------- 991 6 3 6 355 7 ,6 1 6 | 3 ,4 1 0 I 4 ,2 0 6 6 ,0 5 5 2 ,7 5 2 | 3 ,3 0 3

1968 _____ 7 3 9 521 217 8 ,1 0 1 I 3 ,7 6 9 | 4 ,3 3 1 6 ,4 5 5 3 ,0 6 0 | 3 ,3 9 5

1 9 6 9 _____ 7 6 0 527 232 8 ,5 9 1 | 4, 123 4 ,4 6 7 6 ,8 5 2 3 ,3 5 4 | 3 ,4 9 7

1 9 7 0 _____ 4 4 2 305 136 8 ,7 4 5 | 4 ,2 4 2 4 ,5 0 2 6 ,9 0 4 3 ,4 0 4 3 ,5 0 0

197 1 _____ 24 1 1 9 9 4 1 8 ,6 7 8 | 4 ,2 4 1 4 ,4 3 7 6 ,7 3 2 3 ,3 2 8 I 3 ,4 0 4

1972 _____ 1 9 9 163 3 5 8 ,5 4 3 | 4, 182 4 ,3 6 1 6 ,4 9 9 3 ,1 9 8 3 ,3 0 0

1 97 3 _____ 2 7 5 213 6 1 8 ,4 5 6 | 4 ,1 4 9 4 ,3 0 6 6 ,3 2 4 3 ,1 0 2 3 ,2 2 1

1 974 _____ 2 8 3 233 4 9

__________

8 ,3 4 9 |

_______ L_

4 ,1 1 2 |

________ L

4 ,2 3 6 6, 145

_______

3 , 0 17

__________L

3 , 128

10 1

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 61. Other transportation equipment: Historical dollars

(Millions of dollars)

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l

I r

E q u i p m e n t I S t r u c t u r e s

1 99 7 _____ $ 9 5 $26 $19 $896

I

$ 3 7 1 I $525

1 9 9 8 _____ 6 9 9 2 2 2 926 3 9 7 529

1 9 9 9 _____ 3 6 2 5 1 1 927 403 I 523

1950 _____ 3 1 19 1 1 920 902 517

1 95 1 _____ 9 9 3 0 18 930 9 12 5 18

1 95 2 _____ 6 1 3 8 2 2 950 927 | 522

1 95 3 _____ 5 9 3 1 2 2 96 1 939 | 527

1 95 9 _____ 5 9 3 7 17 97 1 444 | 527

1 9 5 5 _____ 5 6 3 9 16 98 1 959 | 527

1956 _____ 8 9 9 6 9 3 1,022 969 552

1957 _____ 1 0 0 5 3 9 7 1 , 0 7 3 990 583

1 95 8 _____ 8 1 9 5 3 5 1,109 5 0 1 | 602

1959. .. . 7 9 9 0 3 9 1,128 508 | 620

1960 _____ 7 3 9 2 3 0 1,151 515 i 635

196 1 _____ 6 8 9 0 2 8 1,168 521 | 697

1962 --------- 6 0 3 9 2 1 1,178 525 | 652

1 96 3 _____ 7 2 9 6 2 6 1,199 537 | 662

1 96 9 _____ 9 5 6 0 3 5 1,292 561 681

1965 _____ 1 17 7 3 9 3 1,307 598 | 708

1 9 6 6 _____ 1 5 8 107 5 1 1,912 669 I 792

1 9 6 7 _____ 1 5 2 8 7 6 5 1,510 720 790

1968 _____ 1 5 8 8 8 6 9 1,613 77 1 892

1 9 6 9 _____ 2 2 8 116 1 1 1 1,783 848 | 935

1970 _____ 27 1 1 5 9 116 1,995 962 I 1,033

1 9 7 1 . . . . 237 123 113 2 ,1 6 9 1,092 I 1 , 1 2 6

1 97 2 _____ 3 6 6 2 1 1 155 2 ,9 6 8 1,206 | 1,261

1973 _____ 3 13 180 132 2 ,7 0 9 1,337 I 1,372

1 97 9 _____ 9 0 3 256

_____________________

1 9 7 3 ,0 3 6 1,539

________________________ L _

1 ,997

N et s to c k s

T o ta l E qu i p m e n t S t r u c t u r e s

$692 

7 15 

708

$300

318

317

$392

396

390

6 9 9 

697

7 1 1

7 16 

721

728

766

8 15

899 

869

883

897

900 

916 

952

310 

3 12

321

321

326

332

395

369

375

380

387

391

393

903

929

389

385

389

395

395

395

921

950

968

989

996

505

506 

5 12 

527

1,008 

1,109 

1,191 

1,280 

1,939

1,627

1,778

2 ,0 5 3

2 ,2 6 9

2 ,5 5 6

959 

525 

570 

6 12 

680

782

897

995

1,105

1,283

599

578

621

667

759

895 

931 

1,057 

1,158 

1,273

Sector 61. Other transportation equipment: Constant dollars

(Millions of 1972 dollars)

Y ea r

G ro ss in v e s tm e n t G ro s s s to c k s N et s to c k s

I T o t a l

_______________ I________________

E q u i p m e n t S t r u c t u r e s T o ta l | Equi p m e n t S t r u c t u r e s T o ta l E qu i p m e n t S t r u c t u r e s

1997 _____ | $ 9 5 $53 $9 1 $ 3 0 0 6 | $903 $ 2 103 $ 2 20 1 $ 7 17 $ 1 ,9 8 3

1 9 9 8 . . . . | 125 8 1 9 3 3 0 0 1 | 939 2 062 2 188 738 1,950

1949 _____ | 6 9 9 7 2 2 2 938 | 937 2 000 2 1 19 722 1,397

1 950 _____ I 5 8 3 9 2 3 2 8 6 1 | 920 1 990 2 037 690 1,396

1951 _____ I 8 3 9 9 3 3 2 807 | 916 1 89 1 1 980 672 1,307

1952 --------- | 1 0 0 6 1 3 9 2 769 | 920 1 899 1 990 669 1,276

1 95 3 _____ | 8 9 9 9 3 9 2 7 17 | 908 1 808 1 889 693 1,296

1954 _____ | 8 8 5 6 3 2 2 662 | 900 1 762 1 839 628 1 , 2 10

1 955 _____ | 8 9 5 9 3 0 2 605 | 890 1 7 15 1 79 1 6 17 1, 179

1956 _____ I 1 3 9 6 3 7 1 2 592 | 88 1 1 7 1 1 1 790 6 10 1, 180

1957 _____ I 1 9 3 6 9 7 9 2 588 i 876 1 7 1 1 1 80 1 6 10 1,190

1 95 8 _____ | 1 16 5 7 5 8 2 558 i 859 1 698 1 786 600 1, 185

1959 _____ | 1 0 7 5 1 5 6 2 522 | 837 1 685 1 765 586 1, 179

I960 _____ | 1 0 3 5 2 5 0 2 989 | 816 1 667 1 792 575 1 , 1 6 7

1 96 1 _____ | 9 7 5 0 9 7 2 993 | 796 1 697 1 7 16 563 1 , 1 5 3

1962 _____ | 8 2 9 8 3 9 2 392 | 777 1 6 15 1 677 551 1, 126

1963 _____ I 1 0 0 5 8 9 1 2 362 I 770 1 592 1 658 551 1,107

1964 _____ |

j

1 2 9 7 3 5 5 2 364 | 781 1 583 1 670 567 1,102

1965 --------- | 1 5 6 8 9 6 6 2 396 | 810 1 586 1 709 600 1,109

1966 _____ | 2 0 2 127 7 5 2 978 | 879 1 598 1 795 669 1, 125

1 9 6 7 _____ | 1 9 3 10 1 9 1 2 5 5 1 | 929 1 627 1 870 712 1, 158

1 968 _____ | 1 9 3 9 8 9 9 2 627 | 967 1 659 1 999 750 1,193

1969 _____ | 2 6 9 126 138 2 774 | 1,038 1 736 2 086 8 13 1,273

1970 _____ | 2 9 5 162 132 2 950 | 1 , 1 9 3 1 807 2 255 909 1,346

1971 _____ I 2 9 5 125 119 3 075 I 1,209 1 866 2 369 962 1,906

1972 _____ I 3 6 6 21 1 155 3 319 | 1,358 1 960 2 599 1,096 1,502

1973 --------- I 30.0 17 7. 122 3 993 I 1,970 2 022 2 755 1,190 1,565

1979 _____ i

_______________ 1____

3 9 8

___________

2 3 2

_____________________

1 1 5 3 712 |

________I____

1 ,635

________________

2

_________

0 7 7 2 953 1,333 1,619

102

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 62. Professional and scientific instruments: Historical dollars

(Millions of dollars)

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

~ i r ~

T o t a l I E q u i p m e n t I S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l Equ i p m e n t S t r u c t u r e s

1 94 7 _____ $ 32 | $23 | $ 8 $110 $87 $22 $105 $80 $25

1948 _____ 3 6 I 2 4 1 1 145 1 10 3 4 137 10 1 3 6

1 94 9 _____ 2 9 | 20 | 9 173 129 4 4 162 116 4 5

1 9 5 0 _____ 4 3 | 2 9 13 213 156 5 7 197 139 5 8

1 951 _____ 5 9 | 35 I 2 3 269 188 s o 247 167 8 0

1 95 2 _____ 4 9 | 34 | 15 315 2 18 9 6 286 191 9 5

1 95 3 _____ 5 3 I 31 I 2 2 363 244 1 18 326 2 10 115

1 95 4 _____ 50 | 33 | 16 406 271 135 360 230 130

1 955 --------- 6 4 | 36 | 2 7 46 1 299 162 407 250 156

1956 _____ 8 7 | 49 j 3 7 538 338 199 473 282 190

1957 _____ 8 8 I 52 | 3 6 6 14 378 235 537 314 223

1 95 8 _____ 6 9 | 46 I 2 2 669 411 25S 580 337 242

1959 _____ 8 9 | 67 | 2 1 74 1 462 279 639 379 260

1 9 6 0 _____ 10 1 I 72 I 2 9 824 5 15 308 707 422 284

196 1 _____ 122 I 69 | 5 2 925 564 360 792 460 332

1 96 2 _____ 1 1 9 | 77 | 4 2 1,021 6 18 402 87 1 503 368

1 9 6 3 _____ 9 8 | 67 | 3 1 1,092 659 433 924 531 392

1964 _____ 99 | 67 | 3 2 1, 162 697 464 974 557 4 16

1 96 5 --------- 1 16 I 7 7 3 8 1,244 742 50 1 1,036 590 445

1966 _____ 134 | 84 I 4 9 1,340 79 1 548 1,111 626 484

1967 _____ 144 | 96 I 4 8 1,443 849 594 1,192 67 1 521

1 96 8 _____ 152 | 96 I 5 6 1,550 903 647 1,277 7 12 564

1 96 9 _____ 1 70 | 110 I 6 0 1,670 967 703 1,374 764 609

1970 _____ 183 | 123 | 6 0 1,80 1 1,041 759 1,479 824 654

197 1 _____ 1 8 3 I 127 | 5 5 1,926 1,117 808 1,577 885 692

1 97 2 _____ 2 09 | 139 I 6 9 2 ,0 7 3 1,201 87 1 1,694 952 742

1 97 3 _____ 2 59 i 173 | 8 5 2 ,2 6 4 1,315 949 1,855 1,048 807

1 97 4 _____ 2 93 | 211

________________ l___

8 2 2 ,4 8 4 1,462 1,022 2 ,0 4 2 1, 175 866

Sector 62. Professional and scientific instruments: Constant dollars

(Millions of 1972 dollars)

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l E q u i p m e n t I S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l

I

E q u i p m e n t I S t r u c t u r e s

1947 _____ $ 6 6 $48 $ 18 $248 $193 $55 $24 1 $175 I $66

1 9 4 8 _____ 7 1 47 | 2 3 3 17 237 8 0 304 214 i 8 9

1 94 9 _____ 5 6 37 | 19 37 1 270 100 349 241 108

1950 _____ 8 0 5 2 2 7 447 317 129 4 15 280 | 135

1 951 _____ 1 0 0 57 | 4 3 542 368 174 498 320 | 177

1 952 _____ 8 1 53 | 2 7 6 17 4 13 203 557 354 I 203

1953 _____ 8 8 49 | 3 9 694 450 244 620 380 | 239

1 95 4 _____ 8 1 51 I 2 9 762 487 274 67 1 404 | 266

1 95 5 --------- 105 5 5 | 5 0 851 525 325 743 430 312

1956 _____ 1 3 0 6 9 6 1 962 574 388 836 466 369

1957 _____ 1 2 5 63 | 5 7 1,065 6 19 446 9 19 498 I 420

1958 _____ 9 6 60 I 3 6 1,136 652 483 969 519 I 450

1 95 9 _____ 1 2 2 86 | 3 6 1,229 709 520 1,041 562 | 479

1 9 6 0 _____ 1 3 8 89 | 4 8 1,334 765 568 1,124 605 5 18

196 1 _____ 1 7 4 86 I 8 7 1,470 8 15 655 1,238 642 595

1 962 _____ 1 6 6 96 | 6 9 1,595 87 1 724 1,338 685 | 652

1963. .. . 133 82 | 5 1 1,682 909 773 1,401 7 11 I 690

1 96 4 _____ 1 3 4 83 | 5 0 1,766 945 82 1 1,459 734 725

1 965 _____ 1 5 4 94 | 5 9 1,865 988 877 1,532 765 767

1966 _____ 1 7 2 100 7 2 1,979 1,034 945 1 , 6 19 799 | 820

1 9 6 7 _____ 18 1 1 12 6 9 2 ,0 9 6 1,088 1,008 1,709 842 867

1 96 8 _____ 1 8 4 108 I 7 6 2 ,2 1 2 1, 134 1,077 1,797 877 920

1969 _____ 1 9 4 119 | 7 4 2 ,3 3 3 1, 190 1,143 1,889 920 969

1970 _____ 1 9 6 127 6 9 2 ,4 5 3 1,250 1,202 1 , 9 7 8 958 I 1 , 0 0 9

197 1 _____ 1 8 7 128 | 5 8 2 ,5 5 8 1,309 1,248 2 ,0 5 1 1,013 | 1 , 0 3 7

1 97 2 _____ 2 0 9 139 I 6 9 2 ,6 7 9 1,375 1,304 2 ,1 3 9 1,064 | 1 , 0 7 5

1 973 _____ 2 4 9 169 7 9 2 ,8 3 6 1,468 1,367 2 ,2 6 1 1,142 I 1,119

1974 _____ 2 5 6 191 6 4 2 ,9 9 3 1,579 1,413 2 ,3 8 3 1,236 |

____________ L_

1 ,146

103

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 63. Photographic and optical goods: Historical dollars

(Millions of dollars)

G ro s s in v e s tm e n t G ro s s s to c k s N et s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1 9 4 7 _____ $ 3 0 $20 $ 9 $198 $126 $72 $186 $116 $69

1 9 4 8 _____ 4 1 2 9 1 1 237 154 8 3 220 140 8 0

1 94 9 _____ 3 3 2 4 9 2 6 8 176 9 2 245 157 8 8

1950 _____ 2 7 2 1 5 292 194 9 7 262 169 9 2

1 95 1 _____ 3 1 2 1 10 319 211 107 28 1 180 100

1 9 5 2 _____ 3 4 2 1 12 346 227 119 300 189 110

1 95 3 _____ 4 4 3 1 12 382 25 1 13 1 328 206 121

1 95 4 _____ 5 0 3 6 14 422 277 145 359 226 133

1 9 5 5 _____ 5 0 3 6 14 461 302 159 390 245 144

1956 _____ 6 0 4 1 18 509 331 177 428 268 160

1957 _____ 6 2 4 3 19 556 360 195 465 290 175

1 95 8 _____ 5 6 3 8 18 596 383 2 12 495 305 189

1 95 9 _____ 5 7 4 0 16 635 406 228 522 32 1 20 1

1960 _____ 7 0 4 6 2 4 684 433 251 560 340 220

196 1 _____ 6 7 4 4 2 3 728 456 272 593 356 237

1 96 2 _____ 7 3 5 3 2 0 775 485 290 630 379 250

1 96 3 _____ 9 4 7 3 2 1 842 532 309 685 420 264

1 9 6 4 _____ 6 2 5 4 7 8 7 3 559 3 14 705 440 264

1 96 5 _____ 1 17 8 7 3 0 958 6 16 341 777 490 287

1966 . . . . 174 1 10 6 4 1,098 696 40 1 904 562 342

1967 . . . . 249 151 9 8 1,310 815 495 1, 100 670 430

1 96 8 _____ 2 4 6 151 9 4 1,517 93 1 585 1,287 774 513

1 969 _____ 2 19 160 5 8 1,694 1, 055 638 1,440 881 559

1970 . . . . 253 15 1 102 1,902 1,167 734 1,619 972 647

197 1 _____ 2 1 1 131 7 9 2 ,0 6 3 1,255 807 1,748 1,037 711

1 9 7 2 _____ 2 3 3 187 4 6 2 ,2 4 0 1,394 845 1 , 8 8 9 1,149 739

1 97 3 _____ 3 1 7 226 9 0 2 ,4 9 4 1,566 928 2 ,1 0 4 1,292 8 1 1

1 97 4 _____ 4 4 0 309

__________

1 3 0 2 ,8 6 4 1 , 8 14 1,049

__________

2 ,4 3 0 1,508 922

------------------------r

Sector 63. Photographic and optical goods: Constant dollars

(Millions of 1972 dollars)

Y ea r

G ro s s in v e s tm e n t G ro s s s to c k s N et s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s

1

T o ta l Equ i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1947 _____ $ 6 5 $43 $21 $589 | $328 $260 $548 $299 $248 1 9 4 8 . . . . 8 3 6 0 2 3 667 | 384 283 6 13 344 268 1 9 4 9 . . . . 6 5 4 7 18 726 | 425 30 1 655 373 282

1950 _____ 5 1 3 9 1 1 768 | 455 312 679 390 289 1 9 5 1 . . . . 5 5 3 7 18 8 11 | 48 1 330 703 400 302 1 9 5 2 . . . . 5 8 3 5 2 2 853 j 50 1 351 725 406 318 1 9 5 3 . . . . 7 4 5 1 2 2 906 | 533 373 759 424 334 1954 . . . . 8 6 5 9 2 6 968 | 568 399 802 448 354

1 95 5 _____ 8 6 5 8 2 7 1,026 | 600 425 84 1 468 372 1956 . . . . 9 4 6 1 3 2 1,088 | 63 1 456 885 489 396 1 9 5 7 . . . . 9 1 5 9 31 1,144 | 659 485 922 506 4 16 1 9 5 8 . . . . 8 5 5 4 3 1 1,191 I 678 513 951 514 436 1 9 5 9 . . . . 8 3 5 4 2 8 1/233 | 694 539 974 522 452

1960 _____ 10 1 6 0 4 1 1,289 | 7 12 576 1,012 533 479 1 9 6 1 . . . . 9 8 5 8 3 9 1,337 | 726 6 10 1,044 540 503 1 9 6 2 . . . . 104 6 9 3 4 1,386 | 747 638 1, 079 557 52 1 1 9 6 3 . . . . 130 9 3 3 6 1,457 | 791 666 1, 137 598 539 1 9 6 4 . . . . 8 2 6 7 15 1/479 | 807 672 1, 146 611 535

1 96 5 _____ 1 5 3 106 4 6 1,569 | 86 1 707 1,223 66 1 56 1 1 9 6 6 . . . . 226 132 9 4 1,731 | 942 789 1,370 736 6 3 4 1 9 6 7 . . . . 314 174 140 1,979 | 1,063 9 16 1,601 850 75 1 1 9 6 8 . . . . 300 172 128 2 ,2 1 0 | 1,181 1,029 1,810 956 854 1 9 6 9 . . . . 250 175 7 4 2 ,3 8 8 | 1,301 1 , 0 8 6 1, 962 1,061 90 1

1970 _____ 2 7 4 157 1 16 2 ,5 8 6 | 1,400 1, 185 2 ,1 3 0 1,140 989 1 9 / 1 . . . . 217 132 8 4 2 ,7 2 2 I 1,472 1,249 2 ,2 3 2 1,189 1, 043 1 9 7 2 . . . . 233 187 4 6 2 ,8 6 9 | 1,594 1,275 2 ,3 4 2 1,285 1,057 1 9 7 3 . . . . 306 222 8 4 3 ,081 | 1,744 1,337 2 , 5 15 1,407 1/108 1 9 7 4 . . . . 384

_______

2 8 1 102 3 , 3 6 3 | 

I

1,947 1 , 4 16 2 ,7 5 5 1,579

__________

1 , 176

1 0 4

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 64. Miscellaneous manufacturing: Historical dollars

(Millions of dollars)

G ro ss in v e s tm e n t G ro ss s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s T o t a l E qu i p m e n t S t r u c t u r e s

$62 $41 $20 $244 $157 $86

4 2 2 9 13 284 185 9 8

3 3 2 3 10 314 206 108

4 4 2 9 14 354 232 122

4 2 2 3 18 392 251 140

4 2 2 6 16 427 27 1 156

5 3 3 8 14 472 30 1 170

6 0 4 2 17 520 333 187

6 5 3 9 2 6 573 36 1 212

8 2 4 7 3 5 64 1 394 247

6 5 4 0 2 4 690 420 270

9 3 6 1 3 2 766 464 302

8 8 6 0 2 7 833 505 328

8 2 5 9 2 2 892 542 349

8 5 6 3 2 2 951 581 370

109 7 4 3 4 1,031 628 402

1 14 8 3 3 0 1,113 682 431

122 9 0 3 1 1,201 741 459

130 9 7 3 3 1,293 804 489

149 10 1 4 7 1,402 869 532

165 106 5 9 1,524 937 587

180 120 5 9 1,656 1 , 0 15 640

191 131 5 9 1,797 1,103 694

182 126 5 6 1,924 1,181 743

198 139 5 9 2 ,0 6 2 1,268 794

317 223 9 4 2 ,3 1 4 1,434 879

34 1 234 107 2 ,5 8 4 1,608 976

362 251 1 1 1 2 ,8 6 9 1,792 1,076

1947.

1948.

1949.

1950 .

1951 .

1952.

1953.

1954.

1955. 

1956 .

1957.

1958.

1959.

1960 .

1961 .

1962.

1963.

1964.

1965. 

1966 .

1967.

1968.

1969.

1 9 7 0 . 

197 1.

1972.

1973.

1974.

N et s to c k s

T o ta l E qu i p m e n t S t r u c t u r e s

$229

263

287

$146

169

184

$83

9 4

103

319

348

374

408

447

203

215

227

250

275

1 15

132

146

158

172

489

546

583

645

699

294 

319 

336 

3 7 1 

403

195

227

247

274

295

743

788

853

919

990

432

462

500

545

594

31 1

326

352

374

396

1,065

1,154

1,254

1,363

1,478

647

700

754

818

888

418

454

500

545

589

1,577

1,686

1,906

2 ,1 4 2

2 ,3 8 8

948

1.015

1 . 1 6 1 

1,310 

1,468

629 

670 

745 

831 

9 19

Sector 64. Miscellaneous manufacturing: Constant dollars

(Millions of 1972 dollars)

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E qu i p m e n t S t r u c t u r e s T o ta l E qu i p m e n t S t r u c t u r e s

1947 _____ $ 140 $95 $44 $654 $391 $262 $608 $359 $248

1 94 8 _____ 8 9 6 4 2 5 737 450 286 677 407 269

1 9 4 9 _____ 6 8 4 7 2 1 797 491 306 720 434 286

1950 _____ 8 7 5 7 2 9 875 540 335 779 468 311

1 951 _____ 7 6 4 1 3 4 938 570 368 821 480 340

1 95 2 _____ 7 3 4 5 2 8 9 9 4 599 395 855 493 362

1 95 3 _____ 9 1 6 5 2 5 1,064 644 4 19 902 521 380

1 95 4 _____ 10 1 7 0 3 1 1,139 689 449 956 55 1 404

1 955 _____ 1 10 6 3 4 7 1,219 724 495 1 ,0 14 57 1 443

1956 _____ 1 2 8 6 8 5 9 1,313 760 552 1,086 593 493

1957 _____ 9 5 5 6 3 8 1,370 782 588 1, 120 600 520

1 958 _____ 1 3 6 8 3 5 2 1,465 827 638 1,192 632 560

1 959 _____ 1 2 6 8 1 4 4 1,545 865 680 1,249 657 591

1960 _____ 1 14 7 7 3 7 1,609 895 7 13 1,290 676 6 13

196 1 _____ 1 19 8 2 3 7 1,671 925 745 1,332 6 98 633

1962 _____ 1 5 1 9 5 5 6 1,76 1 965 795 1,403 731 67 1

1963 --------- 1 5 6 107 4 9 1,852 1,014 838 1,475 774 70 1

1964 _____ 1 6 4 114 4 9 1,948 1,069 879 1,552 822 729

1965 _____ 1 7 2 121 5 0 2 ,0 4 8 1,128 920 1,631 875 756

1966 _____ 1 9 4 123 7 1 2 , 168 1, 189 979 1,729 927 802

1967 _____ 2 0 9 124 8 4 2 ,3 0 0 1,249 1,050 1,837 976 860

1968 _____ 2 17 136 8 0 2 ,4 3 6 1,319 1,116 1 , 9 4 6 1,034 9 12

1969 _____ 2 1 9 144 7 4 2 ,5 7 0 1,396 1 , 1 7 4 2 ,0 5 2 1,096 956

1970 _____ 1 9 6 132 6 4 2 ,6 7 7 1,457 1.219 2, 129 1 ,1 4 1 987

197 1 _____ 2 0 3 140 6 2 2 ,7 8 6 1,523 1,262 2 ,2 0 6 1 , 1 8 9 1,016

1972 _____ 3 1 7 223 9 4 3 ,0 0 3 1,668 1,334 2 ,3 9 0 1,315 1,075

1973 _____ 3 2 9 229 9 9 3 ,2 2 5 1 , 8 15 1,410 2 ,5 7 8 | 1,440 1 , 1 3 7

1974 _____ 3 1 1

________________

2 2 4

_____________________

8 7 3 ,4 2 3 1,952 |

_____________________i

1,471 2 ,7 3 9

________________

1 ,553

_____________________

1 , 1 8 5

1 0 5

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
(Millions of dollars)

Sector 65. Transportation: Historical dollars

Y ea r

—

G ross in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E qu i p m e n t S t r u c t u r e s

1947 . . . . $ 2 ,8 4 2 $ 2 ,3 4 8 $494 $ 3 2 ,0 4 8 $ 1 6 ,4 5 3 $ 1 5 ,5 9 4 $ 2 6 ,9 2 8 $ 1 3 ,0 9 9 $ 1 3 ,8 2 9

1948 _____ 2 ,9 2 4 2 ,3 6 4 560 3 4 ,3 6 3 15,324 16,038 2 8 ,9 5 9 14,767 14,192

1 94 9 _____ 2 , 7 15 2 ,1 9 5 520 3 6,3 81 19,947 16,434 3 0 ,6 66 16, 160 14,506

1 9 5 0 _____ 2 ,6 3 8 2 ,0 3 0 607 3 8 ,2 1 5 2 1 ,3 0 7 16,908 3 2 ,1 9 8 17,300 14,897

195 1 _____ 3 ,3 1 7 2 ,6 3 5 631 4 0 ,6 60 2 3 ,2 6 2 17,398 3 4 ,3 26 19,022 15,303

1952 _____ 3 ,2 1 5 2 ,4 7 7 737 42,9 46 2 4 ,9 5 9 17,986 3 6 ,2 6 3 2 0 ,4 5 7 15,805

1 9 5 3 _____ 3 ,1 1 0 2 ,3 7 7 732 4 5 ,0 70 2 6 ,5 1 2 18,557 3 8 ,0 0 3 2 1 ,7 1 5 16,292

1954 _____ 2 ,5 6 9 1,926 643 4 6 ,5 8 7 2 7 ,5 5 7 19,029 3 9 ,1 1 9 2 2 ,4 4 0 16,678

1 95 5 _____ 2 ,3 3 6 2 ,2 6 8 567 4 8 ,2 9 5 2 8 ,8 7 9 1 9,415 4 0 ,4 1 0 2 3 ,4 3 0 16,980

1956 _____ 3 ,4 5 2 2 , 8 12 640 5 0 ,5 3 5 3 0,671 1 9,864 4 2 ,2 2 3 2 4 ,8 7 9 17,343

1957 _____ 4 ,3 9 4 3 ,6 3 5 758 5 3 ,6 3 2 3 3 ,2 12 2 0 ,4 2 0 4 4 ,8 8 4 2 7 ,0 6 7 17,816

1 9 5 8 . . . . 3 ,026 2 ,4 4 4 582 5 5,2 80 3 4,4 90 2 0 ,7 8 9 4 6 ,0 6 9 2 7 ,9 6 7 18,102

1 95 9 _____ 4 ,3 5 4 3,7 7 6 577 5 8,1 77 3 7 ,0 3 4 2 1 ,1 4 2 4 8 ,4 91 3 0 ,1 1 7 18,373

1960 _____ 4 ,5 2 9 3 ,7 5 5 774 6 1 , 174 3 9 ,4 9 3 2 1 ,6 8 0 5 0 ,9 6 0 3 2 , 126 18,833

196 1 _____ 3 ,736 3 ,157 579 6 3 ,2 97 4 1 ,2 8 3 2 2 ,0 1 4 5 2 ,5 0 7 3 3 ,4 1 9 19,087

1 962 _____ 4 ,2 4 0 3 ,6 5 5 584 6 5 ,8 4 2 4 3 ,4 9 8 2 2 ,3 4 3 5 4 ,4 3 5 3 5 ,0 9 5 19,339

1963 _____ 3 ,8 1 2 3 ,1 9 4 6 18 6 7 ,8 6 9 4 5 , 17 1 2 2 ,6 9 7 5 5 ,7 88 3 6 , 172 19,615

1964 _____ 5 ,3 0 2 4 ,5 4 8 753 7 1 ,2 8 0 4 8 ,1 0 2 2 3 , 177 5 8 ,4 8 4 3 3 ,4 66 2 0 ,0 1 8

1 9 6 5 _____ 6 ,2 1 9 5 ,5 5 0 669 7 5 ,4 50 5 1 ,8 87 2 3 ,5 6 3 6 1 ,9 2 3 4 1 ,5 9 7 2 0 ,3 2 5

1966 . . . . 7 ,306 6 ,4 5 7 848 8 0 ,5 4 6 5 6 ,4 2 8 2 4 ,1 1 7 66,2 61 4 5 ,4 5 8 2 0 ,8 0 3

1967 _____ 7 ,216 6 ,3 2 3 893 8 5 ,3 9 8 6 0 ,6 9 3 2 4 ,7 0 5 7 0 ,3 1 0 4 8 ,9 96 2 1 ,3 1 3

1 9 6 8 _____ 8 ,8 6 6 7 ,7 4 6 1,119 9 1 ,7 3 5 6 6 ,2 26 2 5 ,5 0 9 7 5 ,8 0 3 5 3 ,7 6 4 2 2 ,0 3 9

1 9 6 9 _____ 3 ,1 9 7 7 ,1 3 4 1,063 9 7 ,2 55 7 1 , 0 0 9 2 6 ,2 4 6 8 0 ,3 7 9 5 7 ,6 8 2 2 2 ,6 9 6

1 9 7 0 _____ 7 ,9 4 8 6 ,8 7 2 1,076 102,375 75,3 91 2 6 ,9 8 3 8 4 ,4 4 8 6 1 ,0 9 3 2 3 ,3 5 5

1 9 7 1 . . . . 7 , 150 6 ,0 2 3 1, 126 106,515 7 8 ,7 5 5 2 7 ,7 6 0 8 7 ,4 3 8 6 3 ,3 8 6 2 4 ,0 51

1 9 7 2 _____ 5 , 4 10 4 , 6 16 793 108,688 8 0 ,4 9 7 2 3 , 191 8 8 ,3 9 7 6 3 ,9 96 2 4 ,4 01

1 9 7 3 . . . . 11,612 9 ,9 0 2 1,710 116,822 3 7 ,2 9 6 2 9 ,5 2 6 95,3 11 6 9 ,6 5 5 2 5 ,6 5 6

1 9 7 4 --------- 1 2,198 9 ,7 9 4

_________________________

2 ,4 0 3 125,256 93,7 15 3 1 ,5 41 102,432 7 4 ,8 4 2 2 7 ,5 8 9

Sector 65. Transportation: Constant dollars

(Millions of 1972 dollars)

T

I G ross i n v e s t m e n t G ross s t o c k s

Y ear

----------------------------r

T o ta l I E qu i p m e n t S t r u c t u r e s T o ta l

— 

Equ i p m e n t S t r u c t u r e s 1 T o t a l

1947 _____ $ 6 ,0 31 I $4,9 56 $ 1 ,1 24 $1 18,056 $ 5 0 ,4 2 9 $ 6 7 ,6 2 7 1 $ 9 7 , 0 1 7

1948 _____ 5 ,7 4 2 I 4 , 6 13 1 , 1 2 8 121,431 53,3 81 6 8 ,0 5 0 99,5 6 1

1949 _____ 5 , 1S6 1 4 , 150 1, 036 124,026 5 5 ,6 8 9 6 8 ,3 3 7 | 1 0 1 , 3 4 1

1950 _____ 4 ,8 0 9 I 3 ,6 2 3 1, 186 126,010 5 7 ,2 7 9 6 8 ,7 31 I 1 0 2 , 5 9 0

1 95 1 _____ 5 ,6 8 3 I 4 ,5 4 6 1 , 1 4 2 128,744 5 9 ,6 9 3 6 9 ,0 4 5 I 1 0 4 , 5 9 4

1 952 _____ 5 ,4 0 4 | 4, 120 1,283 131,077 6 1 , 6 16 6 9 ,4 6 0 i 1 0 6 , 1 8 5

1 953 --------- 5 ,0 9 8 | 3,8 7 0 1,228 132,981 6 3 ,2 1 4 6 9 ,7 6 7 I 1 0 7 , 3 4 8

1954 _____ 4 , 129 | 3,046 1, 083 133,785 63,9 01 6 9 ,8 8 3 j 1 0 7 , 4 1 9

1 955 _____ 4 ,4 1 6 I 3,4 7 0 946 134,751 6 4 ,9 3 0 6 9 ,8 2 1 I 1 0 7 , 6 6 4

1 9 5 6 --------- 5 ,0 3 6 | 4 ,0 4 0 996 136, 191 6 6 ,4 2 7 6 9 ,7 6 3 I 1 0 8 , 4 0 5

1957 _____ 6 ,0 6 6 | 4 ,9 5 5 1,110 138,508 6 8 ,7 3 2 6 9 ,7 7 5 I 1 1 0 , 0 6 6

1958 _____ 4 ,0 2 7 I 3, 187 8 3 9 138,652 6 9 ,1 8 2 6 9 ,4 7 0 I 1 0 9 , 5 7 5

1 959 _____ 5 ,6 5 6 | 4 , 8 10 846 1 4 0 3 1 1 7 1 ,1 8 4 6 9 ,1 2 6 I 1 1 0 , 6 3 5

1960 _____ 5 ,9 2 4 | 4 ,8 0 7 1,116 142 '45 7 5 ,1 3 6 6 9 ,0 0 8 I 1 1 1 , 8 3 6

196 1 _____ 4 ,8 6 3 I 4 ,0 2 9 834 142,816 7 4 ,2 34 6 8 , “ / 1 I 1 1 1 , S 5 1

1 96 2 _____ 5 ,4 2 0 I 4,5 9 1 829 143,914 7 5 ,8 20 6 8 ,0 9 4 I 1 1 2 , 3 0 3

1 9 6 3 _____ 4 ,8 6 4 I 4 ,0 0 0 864 144,356 7 6 ,7 36 6 7 ,6 1 9 i 1 1 2 , 0 6 0

1 9 6 4 --------- 6 , 8 2 4 | 

!

5 ,7 3 0 1,094 146,630 7 9 ,2 8 5 6 7 ,3 4 5 I 1 1 3 , 6 4 0

1 955 _____ 7 ,8 8 7 I 6 ,931 955 149,776 8 2 ,8 7 4 6 6 ,9 01 I 1 1 6 , 1 1 6

1 9 6 6 _____ 9 ,1 6 5 | 7 ,980 1 , 1 8 5 154,010 8 7 ,3 5 3 6 6 ,6 5 7 1 1 1 9 , 6 8 9

1967 _____ 8 ,8 8 6 I 7,681 1,205 157,796 9 1 ,3 33 6 6 ,4 0 7 I 1 2 2 , 7 9 0

1968 _____ 1 0,516 | 9 ,063 1,453 163,032 96,647 6 6 ,3 8 5 I 1 2 7 , 3 2 5

1969 _____ 9 ,411 | 8 ,1 0 5 1,305 167,006 100,813 6 6 ,1 9 3 1 1 3 0 , 5 1 5

1 9 7 0 _____ 8 ,6 2 6 | 7 ,4 0 2 1,223 170,044 104,144 6 5 ,8 9 9 I 1 3 2 , 6 8 1

1 97 1 _____ 7 ,3 3 5 | 6 , 146 1, 189 171,605 106,055 6 5 ,5 4 9 I 1 3 3 , 3 0 4

1 972 _____ 5 ,4 1 0 I 4 , 6 16 793 171,010 106,218 6 4 ,7 91 I 1 3 1 , 7 5 6

1 973 _____ 1 1,256 I 9,6 6 1 1,594 176,019 111,195 6 4 ,8 2 3 I 1 3 5 , 8 6 3

1974 _____ 1 0,580 | 8 ,6 9 3 1,886 180,064 1 1 4 , 9 3 0 6 5 , 133 I 1 3 8 , 9 8 2

N et s to c k s

E q u i p m e n t

$ 3 8 ,8 7 7 

4 1 , 3 3 2 

43,152

4 4 ,3 26

4 6 ,3 3 4

4 7 ,8 2 2

4 8 ,9 7 2

4 9 ,2 0 8

4 9 ,7 8 7

5 0 ,8 41

5 2 ,7 2 7

5 2 ,7 5 9

5 4 ,3 5 9

55,8 51

5 5 ,4 5 5

5 7 ,5 1 8

5 7 ,8 6 3

5 9 ,8 1 5

62,8 11

6 6 ,6 8 3

7 0 ,0 71

7 4 ,6 5 2

7 8 ,0 4 2

8 0 ,4 9 3

8 1 ,4 3 7

8 0 ,6 0 7

8 4 ,6 2 7

8 7 ,3 6 7

S t r u c t u r e s

$ 5 8 , 140 

5 8 ,2 2 8 

5 8 ,1 8 8

5 8 ,2 6 3

5 8 ,2 6 0

5 8 ,3 6 3

5 8 ,3 7 6

5 8 ,2 1 0

5 7 ,8 7 7

5 7 ,5 6 4

5 7 ,3 3 8

5 6 ,8 1 5

5 6 ,2 7 5

5 5 ,9 8 5 

5 5 ,3 9 5 

5 4 ,7 8 5 

5 4 , 196 

5 3 ,8 2 5

5 3 ,3 0 5

5 3 ,0 0 5

5 2 ,7 1 8

5 2 ,6 7 2

5 2 ,4 7 3

5 2 , 1S8 

5 1 ,8 6 6 

5 1 ,1 4 9 

5 1 ,2 3 6 

5 1 ,6 1 5

1 0 6

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 66. Communications except broadcasting: Historical dollars

(Millions of dollars) —

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1 94 7 _____ $ 1 ,0 8 5 $574 $510 $ 6 ,1 1 0 $ 1,8 41 $ 4 ,2 6 9 $ 5 ,0 9 7 $ 1 , 4 9 9 $ 3 ,5 97

1 9 4 8 _____ 1 ,335 621 7 13 7, 189 2 ,3 3 5 4 ,8 5 4 6 , 1 2 7 1,965 4, 162

1 9 4 9 _____ 9 9 4 460 533 7 ,511 2 ,6 5 9 5 ,2 5 1 6 ,7 8 9 2 ,2 4 9 4 ,5 4 0

1950 .. . 8 13 372 440 8 ,4 4 1 2 ,8 9 3 5 ,5 4 8 7 ,2 4 5 2 ,4 2 4 4 ,8 2 0

1 95 1 _____ 9 9 8 510 487 9 ,1 4 9 3 ,2 6 3 5 ,8 8 6 7 ,8 5 5 2 , 7 11 5, 144

1 952 _____ 1 ,422 851 570 10,266 3 ,9 6 4 6 ,3 0 1 8 ,8 4 4 3 ,2 9 5 5 ,5 4 9

1 953 _____ 1 ,334 7 18 6 15 11,260 4 ,5 0 2 6 ,7 5 8 9 ,6 7 9 3 ,6 8 2 5,9 9 6

1959 _____ 1 ,377 721 655 12,244 4,9 9 1 7 ,2 5 3 10,492 4 ,0 0 9 6 ,4 8 2

1 95 5 _____ 1 ,556 750 835 13,341 5 ,4 4 5 7 ,8 9 6 11,424 4 ,3 0 7 7 ,1 1 6

1956 _____ 2 ,0 5 4 937 1,066 14,368 6 ,0 6 7 8 ,8 0 0 12,799 4 ,7 8 9 8 ,0 0 9

1957 _____ 2 ,6 6 0 1,591 1,068 16,938 7 ,2 2 9 9 ,7 0 8 14,720 5 , 8 18 8 ,9 0 2

1 95 8 _____ 2 ,2 5 8 1,353 904 18,553 8 ,0 9 7 10,455 16 , 1 6 4 6 ,5 3 7 9,6 2 6

1959 _____ 2 ,3 0 5 1,353 951 2 0 ,1 7 3 8 ,9 1 8 11,254 17,582 7, 188 10,394

I 9 6 0 . . . . 2 ,7 2 2 1,633 1,088 2 2 , 167 9 ,9 7 3 12,193 19,335 8 ,0 4 4 11,291

1 9 6 1 . . . . 2 ,7 8 2 1,801 980 2 4 ,1 7 4 11,145 13,027 2 1 ,0 4 3 8 ,9 7 4 12,059

1 96 2 _____ 3 ,1 5 0 2, 153 996 2 6 ,4 7 8 12,601 13,876 2 2 ,9 9 3 10,143 12,850

1 9 6 3 . . . . 3 ,2 6 5 2 ,1 3 6 1, 123 2 8 ,8 01 13,947 1 4,854 2 4,9 11 11,162 13,749

1 96 4 _____ 3 ,6 6 5 2 ,3 5 0 1,314 3 1 ,4 10 15,395 16,015 2 7 ,0 7 5 12,259 14,815

1 9 6 5 . . . . 4, 189 2 ,7 2 7 1,461 3 4 ,4 10 17,094 17,316 2 9 ,5 9 5 1 3,588 16,007

1 9 6 6 . . . . 4,6 7 1 3 ,0 6 1 1,609 3 7 ,7 4 8 18,991 13,756 3 2 ,4 1 5 15,093 17,321

1967 _____ 4 ,9 0 3 3 ,2 6 9 1,638 4 1 ,1 66 2 0 ,9 5 2 2 0 ,2 1 3 3 5 ,2 72 16,637 18,634

1 968 _____ 5 ,5 5 6 3,8 5 1 1,704 4 5 ,0 66 2 3 ,3 46 2 1 ,7 1 9 3 8,5 66 18,585 19,981

1 9 6 9 _____ 6 ,4 2 9 4 ,2 2 5 2 ,2 0 3 4 9 ,6 6 5 2 5 ,9 6 2 2 3 ,7 0 3 4 2 ,4 9 3 2 0 ,7 0 3 2 1 ,7 9 0

1970 _____ 8 ,0 2 7 5 ,0 5 8 2 ,9 6 8 5 5 ,6 7 5 2 9 ,2 4 6 2 6 ,4 2 8 4 7 ,7 51 2 5 ,4 2 8 2 4 ,3 2 2

1 9 7 1 . . . . 8 ,7 0 6 5 ,7 0 0 3 ,0 0 5 6 2 ,1 56 3 2 ,9 95 2 9 ,1 6 0 5 3 ,3 7 3 2 6 ,5 3 0 2 6 ,8 4 3

1 9 7 2 . . . . 9 ,556 6 ,2 5 3 3 , 3C2 6 9 ,2 50 3 7 ,0 94 3 2, 155 5 9 ,4 8 9 2 9 ,8 7 7 2 9 ,6 1 2

1 9 7 3 . . . . 10,528 6 ,5 6 0 3,967 7 7 ,0 46 4 1 , 2 6 8 5 5 ,7 7 8 6 6 ,1 7 5 3 3, 183 3 2,991

1974 _____ 1 1,798 7 ,5 1 8 4 ,2 7 9 8 5 ,8 0 7 4 6 ,1 3 5 3 9 ,6 7 2 7 3 ,6 8 6 3 7 ,0 6 2 3 6 ,6 24

Sector 66. Communications except broadcasting: Constant dollars

(Millions of 1972 dollars)

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s N at s to c k s

1

T o ta l | Equ i p m e n t S t r u c t u r e s T o ta l E qu i p m e n t S t r u c t u r e s T o ta l Equ i p m e n t S t r u c t u r e s

1 9 4 7 . . $ 1 ,9 8 6 I $824 $ 1 ,1 6 2 $ 1 7 ,7 7 9 $ 3 ,4 9 3 $ 1 4 , 2 8 5 $14 ,71 1 $ 2 ,7 3 9 $ 1 1 ,97 1

1948. . 2 ,4 4 2 I 895 1,547 19,493 4 ,1 0 3 15,389 16,322 3,311 13,011

1 9 4 9 . . 1,791 j 66 1 1, 129 2 0 ,5 1 5 4 ,4 6 2 16,053 17,240 3 ,6 2 4 13,616

1 9 5 0 . . 1,456 i 523 932 2 1 ,1 7 8 4 ,6 7 9 16,499 17,789 3 ,7 7 8 14,010

1 951.. 1,633 I 687 946 2 2 ,0 0 2 5 ,0 6 3 16,938 18,476 4 ,0 6 8 14,408

1 95 2.. 2 ,2 6 2 | 1, 180 1,082 2 3 ,4 2 9 5 ,9 3 2 17,496 19,736 4 ,3 0 1 14,935

1 55 3.. 2 ,1 8 0 I 1,032 1, 147 2 4 ,7 2 7 6 ,6 2 0 18,106 2 0 ,8 3 0 5 ,3 0 7 15,522

1 95 4.. 2 ,2 3 7 I 1,030 1,206 2 6 ,0 0 9 7 ,2 4 3 18,765 2 1 ,9 0 1 5 ,7 3 5 16* 166

1 55 5.. 2 ,5 1 4 I 1,073 1,440 2 7 ,4 80 7 ,8 2 9 19,651 2 3 ,1 7 7 6 , 1 35 17,041

1 9 5 6 . . 3 ,1 8 4 | 1,382 1,801 2 9 ,5 3 4 8 ,6 4 2 2 0 ,8 9 2 2 5 ,0 5 9 6 ,7 8 2 18,276

1 9 5 7 . . 3 ,9 3 7 | 2, 138 1,798 3 2 ,2 6 8 10,137 2 2 ,1 31 2 7 ,6 2 5 8 ,1 1 6 19,508

1958. . 3 ,327 I 1,797 1,530 3 4 ,3 3 7 11,226 2 3 ,1 1 0 2 9 ,4 8 9 9 , 0 17 2 0 ,4 7 2

1959. . 3 ,3 7 2 I 1,799 1,572 36,4 06 12,264 2 4, 142 3 1 ,3 0 8 9 ,8 3 2 2 1 ,4 7 5

1 9 6 0 . . 3 ,9 1 8 I 2 , 163 1,755 3 8 ,9 76 13,611 2 5 ,3 6 5 3 3 ,5 6 8 10,912 2 2 ,6 5 5

1 9 6 1 .. 3 ,9 5 3 I 2 ,4 0 5 1,548 41,5 21 15,130 2 6 ,3 91 3 5 ,7 2 7 12,110 2 3 ,6 17

1 96 2.. 4 ,5 2 4 I 2 ,8 9 4 1,630 4 4 ,5 4 3 17,042 2 7 ,5 0 0 3 3 ,2 9 4 13,648 2 4 ,6 4 5

1 9 6 3 .. 4 ,6 5 9 | 2 ,8 5 9 1,799 4 7 ,5 7 3 13,793 2 8 ,7 7 9 4 0 ,8 0 5 14,981 2 5 ,8 2 4

1964. . 5 ,2 0 6 I 3, 129 2 ,076 5 1 ,0 0 2 2 0 ,6 6 8 3 0 ,3 34 4 3 ,6 6 4 16,409 2 7 ,2 5 5

1 9 6 5 .. 5 ,8 9 2 1 3 ,6 2 6 2 ,2 6 5 5 4 ,9 5 2 2 2 ,8 78 3 2 ,0 7 3 4 6 ,9 96 18, 149 2 8 ,8 4 7

1 9 6 6 . . 6 ,4 1 6 | 4 ,0 4 9 2,366 5 9 ,2 46 2 5,3 41 3 3 ,9 0 5 5 0 ,6 16 2 0,111 3 0 ,5 0 4

1 96 7.. 6 ,5 0 6 I 4 , 186 2,320 6 3 ,4 3 8 2 7,7 61 3 5 ,6 76 5 4 ,0 6 5 2 1 ,9 91 3 2 ,0 74

1 96 8.. 6 ,9 9 8 ! 4 , 7 14 2 ,2 8 4 6 7 ,9 0 9 3 0,521 3 7 ,3 3 8 5 7 ,7 3 2 2 4 ,1 6 9 3 5 ,5 6 2

1 9 6 9 .. 7 ,7 1 3 I 4 , 9 13 2 ,7 9 9 7 2 ,8 66 3 3,281 3 9 ,5 8 5 6 1 ,8 0 7 2 6 ,2 9 2 3 5 ,5 1 5

1 9 7 0 .. 9 ,1 1 2 i 5 , 7 15 3,396 7 8 ,9 7 3 3 6 ,6 29 4 2 ,3 4 4 6 6 ,9 5 4 2 3 ,9 4 7 3 8 ,0 07

1 97 1.. 9 ,2 4 5 | 6 ,0 0 6 3 ,238 8 4 ,9 3 7 4 0 ,0 3 1 4 4 ,9 0 6 7 1 , 8 6 4 3 1 ,5 87 4 0 ,2 77

1 97 2.. 9,5 5 6 I 6 ,2 5 3 3 ,302 9 0 ,8 95 4 3 ,4 1 4 4 7 ,4 8 0 7 6 ,6 9 5 3 4, 148 4 2 ,5 4 6

1 97 3.. 10,110 I 6 ,4 1 3 3,697 9 7 ,0 59 4 6 ,6 6 5 5 0 ,3 9 4 8 1 ,6 7 2 3 6 ,5 2 9 4 5 , 143

1 974..

-

1 0 , 6 6 2 I 

________L.

7 ,2 0 8 3 ,454 1 03,403 5 0 ,4 00 5 3 ,0 0 2 8 6 ,7 8 4

__________________

3 9 ,3 5 8 4 7 ,4 2 5

107

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
(Millions of dollars)

Sector 67. Radio and TV broadcasting: Historical dollars

Y ear

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l Equ i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t I S t r u c t u r e s

1947 _____ $ 4 8 $27 $20 $ 168 $99 $69 $ 143 $81 I $6 1

1948 _____ 6 2 3 5 2 6 222 128 9 4 194 108 | 8 5

1 949 _____ 4 2 2 4 17 256 145 1 10 224 123 | 10 1

1 9 5 0 _____ 3 1 17 13 277 155 122 24 1 129 I 1 12

1 95 1 _____ 5 2 3 0 2 1 320 178 14 1 278 147 I 131

1 95 2 _____ 1 0 0 3 10 170 140 26 1 132 I 128

1953 _____ 5 3 3 0 2 2 350 189 160 294 146 | 143

1954 _____ 7 9 4 5 3 3 4 13 22 1 19 1 350 17 1 | 17 S

1 955 _____ 8 6 4 9 3 6 480 254 225 4 1 1 199 212

1956 _____ 8 5 4 9 3 5 542 283 258 468 224 | 244

1 9 5 7 _____ 1 18 6 0 5 7 635 321 313 557 259 I 298

1 9 5 3 _____ 8 1 4 6 3 4 6 9 0 345 345 607 278 329

1 9 5 9 _____ 8 7 5 0 3 6 751 372 379 660 299 | 36 1

1 9 6 0 _____ 1 4 7 8 5 6 1 8 7 1 433 h 3 8 770 351 | 4 18

1 9 6 1 . . . . 5 1 2 9 2 1 894 437 456 779 343 I 435

1 96 2 --------- 8 9 5 1 3 7 95 1 459 49 1 82 1 353 I 468

(9 6 3 _____ 2 1 4 123 9 0 1,128 548 579 934 430 553

1 964 _____ 1 7 5 10 1 7 3 1,260 609 650 1,102 480 | 621

1965 _____ 2 6 1 151 109 1,472 7 15 756 1,300 575 724

1966 _____ 2 4 2 140 10 1 1,661 805 855 1,472 654 | 8 18

1967 _____ 3 9 8 230 167 2 ,0 0 3 933 1,019 1,794 8 17 I 977

1968. .. . 254 147 106 2 ,1 9 3 1,075 1 , 1 2 2 1,961 887 i 1,074

1 96 9 _____ 2 6 6 154 1 1 1 2 ,4 0 1 1,171 1,230 2 ,1 2 8 953 | 1, 174

1970 _____ 1 6 5 9 5 6 9 2 ,4 9 7 1,201 1,295 2 ,1 8 0 948 1,232

197 1 _____ 2 9 4 170 123 2 , 7 11 1,297 1,414 2 ,3 4 8 1,006 | 1,341

1 97 2 _____ 3 9 8 230 167 3 ,0 1 4 1,438 1,576 2 ,6 0 3 1,109 | 1,493

1 9 7 3 . . . . 460 266 193 3 ,3 5 9 1,596 1,763 2 ,9 0 4 1,234 | 1,669

1 97 4 _____ 5 4 2 313

__________

2 2 8 3 ,767 1,783 1,984 3 ,2 7 2 1,393 1,878

Sector 67. Radio and TV broadcasting: Constant dollars

(Millions of 1972 dollars)

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l Equ i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1947 _____ $ 8 2 $39 $43 $421 $191 $230 $352 I $153 $199

1 94 8 _____ 10 1 5 1 4 9 504 229 275 429 I 187 242

1 94 9 _____ 6 8 3 5 3 2 553 249 303 471 i 203 268

1950 _____ 5 1 2 4 2 7 584 258 325 494 | 207 287

1 951 _____ 7 9 4 1 3 8 640 282 358 543 1 225 318

1952 _____ 1 0 0 6 17 264 352 509 I 199 3 10

1953 _____ 8 2 4 3 3 8 67 1 287 333 554 | 2 15 339

1954 _____ 1 2 4 6 4 6 0 764 327 436 639 j 248 390

1 95 5 _____ 1 3 7 7 0 6 7 865 369 495 733 I 285 448

1956 _____ 1 2 7 6 8 5 9 952 406 545 815 I 313 497

1957 _____ 17 1 8 0 9 0 1 , 0 8 0 452 627 939 | 36 1 578

1 95 8 _____ 1 16 6 1 5 5 1 , 1 5 2 478 673 1,006 | 383 622

1959 _____ 1 2 4 6 6 5 8 1,234 5 1 1 723 1/078 | 408 670

1 9 6 0 _____ 2 1 2 1 1 1 100 1,403 589 8 14 1,234 | 474 759

1 96 1 _____ 7 3 3 8 3 4 1,432 592 840 1,244 | 46 1 783

1962 _____ 1 2 8 6 8 5 9 1,510 6 19 890 1,303 | 472 831

1 9 6 3 _____ 3 0 5 164 141 1,759 735 1,023 1,534 | 574 960

1964 _____ 2 4 7 134 113 1,941 813 1, 127 1,698 I 638 1,060

1 96 5 _____ 3 6 4 200 163 2 ,2 3 4 951 1,282 1,973 I 764 1,209

1 9 6 6 _____ 331 1 8 5 146 2 ,4 8 8 1,068 1,419 2 ,2 0 7 j 866 1,341

1 9 6 7 _____ 5 2 4 292 231 2 ,9 3 2 1,290 1,642 2 ,6 2 5 | 1,069 1,556

1968 _____ 3 1 9 178 140 3 ,1 6 9 1,395 1,773 2 ,8 2 4 i 1, 145 1,678

1 96 9 _____ 3 1 6 178 137 3 ,3 9 8 1,496 1,901 3 ,0 0 5 I 1,209 1,796

1970 _____ 1 8 6 107 7 8 3,4 8 7 1,517 1 , 9 7 0 3 ,0 3 8 | 1, 185 1,852

197 1 _____ 3 1 0 179 130 3,6 8 7 1,597 2 ,0 8 9 3 ,1 7 8 I 1,219 1,959

1 97 2 _____ 3 9 8 230 167 3 ,9 5 5 1,709 2 ,2 4 5 3 ,3 8 7 | 1,287 2 , 100

1 9 7 3 _____ 4 4 2 260 18 1 4 ,241 1,827 2 ,4 1 3 3 ,6 2 3 I 1,370 2 ,2 5 2

1 97 4 _____ 4 7 7 300 177 4 ,5 3 9 1,963 2 ,5 7 6 3 , 8 8 0 | 

I

1,482 2 ,3 9 7

1 0 8

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 68. Public utilities: Historical dollars

(Millions of dollars)

G ro ss in v e s tm e n t G ro s s s to c k s N et s t o c k :

T o ta l E qu i p m e n t S t r u c t u r e s T o t a l Equ i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1947 . $ 1,5 41 $359 $ 1,181 $ 1 5 ,3 6 9 $ 3 ,0 17 $ 1 2 ,3 5 2 $ 1 2 ,6 9 5 $ 2 ,2 3 5 $ 10 ,46 0

1 94a 2 ,5 4 1 986 1,554 1 7,402 3 ,8 1 5 13,587 14,656 3 ,0 1 8 1 1 >638

1 9 4 9 _____ 3 ,1 0 2 1,106 1,995 19,974 4 ,7 2 7 15,247 1 7,143 3 ,9 0 0 1 3,243

1 9 o 3,251 1,107 2, 143 2 2 ,6 7 8 5 ,6 3 9 17,039 19,735 4 ,7 5 3 14,981

1 9 S 1 3,561 1,192 2 ,3 6 8 2 5 ,6 7 8 6 ,6 3 7 19,040 2 2 ,5 8 4 5 ,6 5 4 16,929

1 95? 3,741 1,425 2 ,3 1 5 2 8 ,8 3 8 7 ,8 6 3 2 0 ,9 7 5 2 5 ,5 4 4 6 > 13 2 18,811

4,3 5 1 1,621 2 ,7 2 9 3 2 ,5 7 8 9,2 6 6 2 3 ,3 1 2 2 9 ,0 21 7 ,9 2 6 2 1 ,0 9 5

1 9 5 4 ... . 3,991 1,447 2 ,5 4 3 3 5,9 01 1 0,449 2 5 ,4 5 2 3 2 ,0 2 5 8 ,8 4 5 2 3 ,1 7 9

1955 4 ,0 2 1 1,408 2,6 1 2 3 9, 176 11,523 2 7 ,6 5 3 3 4 ,9 4 2 9 ,6 2 0 25,3 21

1 9 5 6 . . . 4 ,5 2 1 1,597 2 ,9 2 3 4 2 ,8 5 0 12,690 3 0, 160 3 8 ,2 40 10,477 2 7 > / 6 3

1 9 5 7 5,6 7 1 2,2 21 3 ,4 4 9 4 7 ,5 61 14,371 3 3 ,1 9 0 4 2 ,5 6 9 11,851 3 0 ,7 1 8

1 95a 5 ,5 2 9 2 ,0 5 8 3,4 7 0 5 2 ,0 1 5 15,774 36,2 41 4 6 ,6 2 7 12,947 3 3 > 6 / 9

1 9 5 9 ' . . . 5, 142 1,813 3 ,3 2 8 5 5 ,9 7 5 16,821 3 9 , 154 5 0 ,1 8 0 13,699 3 6 > 4 8 1

1 96 n 5 ,2 4 3 2 ,0 0 2 3,240 5 9 ,9 4 4 17,960 4 1 ,9 8 3 5 3 ,7 30 14,554 5 9 , 176

1 9 6 1 5 ,0 0 6 1,868 3,137 6 3 ,5 9 6 18,88 1 4 4 ,7 1 5 5 6 ,9 3 4 15,190 4 1 ,7 4 4

1 9 6 ? 4^901 1,836 3,0 6 4 6 7,0 71 19,692 4 7 ,3 7 9 5 9 ,9 2 3 1 5,712 4 4 ,2 10

1 9 6 ^ 4 ,9 6 7 1,829 3,137 7 0 ,5 31 2 0 ,4 1 5 5 0 ,1 1 6 6 2 ,8 6 2 16,149 4 6 ,7 1 3

1 96 4 _____ 5 ,4 7 9 2 ,0 5 7 3,421 7 4 ,4 1 4 21,2 81 53, 133 6 6 , 199 16,744 4 9 ,4 5 5

1 9 6 5 6 ,1 2 7 2 ,0 8 1 4 ,0 4 5 7 8 ,8 50 2 2 ,0 8 8 5 6 ,7 61 7 0 ,0 6 3 17,296 5 2 ,7 6 7

1 966 7 ,4 3 1 2 ,5 7 1 4 ,8 5 9 8 4 ,4 9 2 2 3 ,3 0 5 6 1 ,1 8 6 7 5 ,1 11 1 8,283 5 d >828

1 9 6 7 8 ,7 5 2 3,207 5 ,5 4 4 9 1 ,3 6 2 2 5 ,0 9 3 6 6 ,2 6 8 8 1 ,3 4 7 1 9,849 6 1 ,4 9 7

19 6 a 10,201 3,451 6 ,7 4 9 9 9,597 2 7 ,0 7 6 7 2 ,5 21 8 8 ,8 7 3 2 1 ,5 9 0 6 7 ,2 8 2

1 96 9 --------- 1 1,611 4 ,6 7 3 6 ,9 3 7 109, 159 3 0 ,2 4 3 7 8 ,9 1 5 9 7 ,6 24 2 4 ,4 71 73, 153

197 n 13,141 5 ,3 6 3 7 ,7 7 7 120, 164 3 4 ,0 6 9 8 6 ,0 9 5 107,662 2 7 ,9 11 7 9 ,7 5 0

197 1 15,301 7, 152 8 ,1 4 8 1 33,222 3 9 ,6 4 2 9 3 ,5 7 9 119,555 3 2 ,9 6 2 8 6 ,5 9 2

197 ? 17,001 7 ,4 8 9 9,51 1 147,828 45,4 81 102,346 132,744 38 >084 9 4,660

197 5 18,701 8 ,0 7 3 10,627 163,920 5 1 ,7 8 5 1 1 2 , 1 3 4 1 47,158 4 3 ,4 6 6 103,691

1 97 4 _____ 2 0 ,5 51

_______________

8 ,9 7 5 11,575 1 81,578 5 8 ,8 1 6 1 22,762 162,863

________________

4 9 ,3 5 4 1 1 3 , 5 0 8

Sector 68. Public utilities: Constant dollars

(Millions of 1972 dollars)

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l Equ i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1947 _____ $ 3 ,8 30 $689 $3,1 41 $ 6 0 ,5 9 5 $ 7 ,2 9 7 $ 5 3 ,2 9 7 $ 4 8 ,8 9 4 $ 5 ,2 9 7 $ 4 3 ,5 9 7

1948 _____ 5 ,4 5 3 1,796 3,6 5 7 6 3 ,7 50 8 ,6 0 5 5 5 ,1 4 5 5 1 ,9 5 2 6 ,5 8 7 4 5 ,3 6 4

1949 _____ 6 ,4 5 6 1,982 4 ,4 7 3 6 7 ,8 6 3 10,090 5 7 ,7 7 3 5 5 ,9 6 0 8 ,0 3 4 4 7 ,9 2 6

1950 _____ 6 ,4 3 2 1 , 9 3 9 4 ,4 9 3 7 1 ,9 2 2 1 1 , 5 3 4 6 0 ,3 87 5 9 ,8 8 3 9 ,3 9 5 5 0 ,4 87

1951 _____ 6 ,3 4 8 1,871 4,4 7 6 7 5 ,8 7 3 12,917 6 2 ,9 5 5 6 3 ,6 4 7 10,631 5 3 ,0 16

1952 _____ 6 ,6 4 7 2 ,2 3 7 4 , 4 10 8 0 ,0 9 5 14,666 6 5 ,4 2 9 6 7 , 6 18 12, 152 5 5 ,4 6 6

1 953 _____ 7 ,3 5 0 2 ,4 6 7 4 ,8 8 2 8 4 ,9 7 1 1 6 , 6 18 6 8 ,3 5 2 7 2, 163 13,781 5 8 ,3 8 2

1 954 _____ 6 ,7 4 2 2 ,1 6 0 4 ,5 8 2 8 9 ,1 5 2 18,192 7 0 ,9 6 0 7 5 ,9 4 5 14,949 6 0 ,9 9 6

1 955 _____ 6 ,6 2 9 2 ,0 8 6 4 ,5 4 3 9 3,0 97 19,575 73,5 21 7 9 ,4 6 0 15,886 6 3 ,5 7 4

1956 _____ 6 ,7 0 4 2, 129 4 ,5 7 4 9 4,561 2 0 ,8 47 7 6 ,1 1 4 8 2 ,9 0 4 16,712 6 6 ,1 91

1957 _____ 7 ,8 0 3 2 ,7 4 5 5,0 5 7 10 ; , 7 6 2 2 2 ,5 6 ? 7 9 ,2 0 0 8 7 ,3 1 7 18,015 6 9 ,3 0 2

1958 _____ 7 ,5 6 1 2 ,4 8 0 5,081 1 0 6 , 1 7 3 2 3 ,8 3 3 8 2 .3 3 5 9 1 ,3 65 18,917 7 2 ,4 4 8

1959 _____ 6 ,8 3 6 2 ,1 4 8 4 ,687 109,737 2 4 ,6 3 0 8 5 , 1 0 7 9 4 ,5 9 4 19,383 7 5 ,2 11

1960 _____ 6 ,8 7 7 2 ,3 6 4 4 ,5 1 2 113,257 2 5 ,5 1 6 8 7 ,7 4 1 9 7 ,7 9 4 19,983 7 7 ,8 0 6

196 1 _____ 6 ,771 2,2 5 1 4,5 2 0 116,618 2 6 ,1 9 4 9 0 ,4 24 100,821 2 0 ,4 1 2 8 0 ,4 0 9

1962 _____ 6 ,7 2 5 2 ,2 4 5 4,4 8 0 119,904 2 6 ,7 9 4 93,1 10 103,733 2 0 ,7 7 3 8 2 ,9 6 0

1 9 6 3 _____ 6 ,8 3 8 2 ,2 5 8 4,580 123,274 2 7 ,3 4 4 9 5,9 30 106,684 2 1 ,0 9 6 8 5 ,5 8 8

1964 _____ 7 ,4 4 2 2 ,5 3 3 4 ,9 0 8 127,214 2 8 ,1 1 2 9 9 ,1 0 2 110,158 2 1 ,6 5 3 8 8 ,5 0 5

1965 _____ 8 , 188 2 ,5 5 3 5 ,6 3 4 131,361 2 8 ,8 4 7 103,013 1 1 4 , 2 8 2 2 2 , 187 9 2 ,0 9 5

1966 _____ 9 ,720 3 ,1 0 9 6 , 6 11 138,000 3 0 ,0 9 3 107,907 1 1 9 , 8 3 1 2 3 ,2 4 0 96,5 90

1967 _____ 1 1,018 3 ,7 4 2 7,276 145,389 3 1 ,9 37 113,452 126,543 2 4 ,8 81 101,661

1968 _____ 1 2,465 3 ,8 7 8 8 ,5 8 7 154, 175 3 3,891 120,283 134,527 2 6 ,5 9 0 107,936

1 9 6 9 _____ 1 3,534 5, 135 8 ,3 9 8 163,964 3 7 ,0 7 8 126,886 143,370 2 9 ,4 7 4 1 1 3 , 8 9 6

1970 _____ 1 4,465 5 ,6 8 7 8 ,7 7 8 1 74,598 4 0 ,7 8 8 133,809 1 52,868 3 2 ,7 7 3 120,094

197 1 _____ 1 5,784 7 ,2 6 1 8 ,5 2 3 186,425 4 6 ,0 28 140,396 163,345 3 7 ,4 6 4 125,881

1 972 _____ 1 7,001 7 ,4 8 9 9,511 199,282 5 1 ,4 1 3 147,869 174,608 4 2 , 120 132,488

1 973 _____ 1 7,773 7 ,9 1 5 9,858 2 1 2 ,6 5 4 57,0 91 1 55,562 186, 149 4 6 ,8 8 8 139,261

1974 _____ 1 7,239 8 , 189

__________

9 ,050 2 2 5 , 160 6 2 ,8 5 8 162,301 196,595 5 1 ,5 5 7

__________

1 45,038

109

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 69. Wholesale and retail trade: Historical dollars

(Millions of dollars)

—

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l E q u i p m a n t S t r u c t u r e s T o ta l Equ i p m e n t S t r u c t u r e s T o t s 1 E q u i p m e n t S t r u c t u r e s

1 94 7 _____ $ 2,1 50 $ 1 ,3 9 3 $756 $ 1 0 ,5 8 8 $ 7 ,6 4 5 $ 2 ,9 4 3 $ 8 ,9 7 6 $ 6 ,3 3 2 $ 2 ,6 4 4

1 9 4 ? ... 3 ,0 2 3 1,956 1,066 13,120 9,1 4 7 3 ,9 7 2 11,384 7 ,7 2 5 3 ,6 5 9

1949 _____ 2 ,3 3 4 1,511 822 14,969 10,213 4 ,7 5 5 1 3,019 8 ,5 9 5 4 ,4 2 4

1950 _____ 2 ,821 1,826 994 17,297 1 1 , 5 8 9 5 ,7 0 8 15,030 9 ,6 7 3 5 ,3 5 7

1 9 5 1 _____ 2 , 9 I7 1,887 1,029 19,650 12,956 6 ,6 9 3 16,985 10,666 6 ,3 1 9

1 95 2 _____ 2 ,031 1,315 7 15 2 0 ,9 7 8 13,616 7 ,3 6 2 17,890 10,927 6 ,9 6 2

1 953 _____ 2 ,6 9 3 1,746 946 2 2 ,7 8 9 14,529 8 ,2 6 0 19,327 11,496 7 ,831

1 954 _____ 3 ,3 7 9 2 , 190 1 , 1 8 8 2 5 ,1 1 9 15,721 9 ,3 9 8 2 1 ,3 3 9 12,402 8 ,9 3 7

1955 _____ 4 ,5 8 0 2, 930 1,649 2 8 ,5 2 2 '.7,528 10,994 2 4 ,4 5 4 13,957 10,497

1956 --------- 4 ,7 5 6 3,0 0 6 1,749 3 2 ,0 1 2 19,324 12,687 2 7 ,6 3 3 15,489 1 2,143

1957 _____ 4 , 168 2 , 6 C 1 1,566 3 4 ,8 5 9 2 0 ,6 6 3 14,195 3 0 , 120 16,511 13,609

1958 --------- 3 , 8 12 2 ,331 1,480 3 7 ,2 8 8 2 1 ,6 7 2 15,616 3 2 ,1 2 3 17,148 14,974

1 95 9 _____ 4 , 180 2 ,5 7 4 1,605 4 0 ,0 0 7 2 2 ,8 4 8 17, 159 3 4 ,3 51 17,895 16,456

1960 _____ 4 ,4 1 4 2 ,7 7 1 1,642 4 2 ,8 2 2 2 4 ,0 86 18,736 3 6 ,6 4 9 1 8,684 17,965

196 1 _____ 4 , 4 18 2 ,7 8 0 1,637 4 5 ,4 5 8 2 5 , 150 2 0 ,3 0 7 38,7 91 19,332 19,459

1 9 6 2 . . . . 5 ,2 7 5 3 ,3 8 5 1 , 8 8 9 4 8 ,7 56 2 6 ,6 26 2 2, 130 4 1 ,6 6 0 2 0 ,4 6 7 2 1 ,1 9 3

1 S 6 3 . . . . 5 ,0 2 3 3,2 7 0 1,752 5 1,6 41 2 7 ,8 2 7 2 3 ,8 1 4 4 4 ,1 6 0 2 1 ,3 8 3 2 2 ,7 7 6

1964 _____ 5 ,8 9 3 3 ,7 8 6 2,1 0 6 5 5 ,2 9 7 2 9 ,4 4 5 2 5 ,8 5 2 4 7 ,4 3 2 2 2 ,7 3 3 2 4 ,6 9 8

1 965 _____ 7 ,3 2 6 4 ,6 9 6 2 ,6 2 9 6 0 ,3 2 3 3 1 ,9 1 2 2 8 ,4 11 5 2 ,0 1 6 24,8 91 2 7 , 124

1966 _____ 8 ,4 6 5 5 ,4 2 8 3 , C 3 6 6 6 ,4 2 0 3 5 ,0 4 8 3 1,3 71 5 7 ,5 61 2 7 ,6 2 7 2 9 ,9 3 4

1967 _____ 7 ,0 6 4 4 ,367 2 ,696 7 1 ,0 07 3 7 ,0 2 3 3 3 ,9 8 4 6 1 , 4 7 5 2 9 ,0 9 7 3 2 ,3 76

1 96 8 _____ 9 , 8 19 6, 189 3,6 2 9 7 8 ,2 0 7 4 0 ,6 86 3 7,5 21 6 7 ,9 1 2 3 2 ,1 9 0 3 5 ,7 2 2

1969 _____ 1 0,376 6 ,5 1 6 3 ,8 5 9 8 5 ,7 7 8 4 4 ,5 01 4 1 ,2 7 7 7 4 ,5 9 3 3 5 ,3 30 3 9 ,2 6 3

1970 _____ 8 ,7 6 3 5 ,5 1 6 3,246 9 1 ,5 0 3 4 7 ,0 9 5 4 4 ,4 0 7 7 9 ,3 0 7 3 7 , 154 4 2 , 152

197 1 _____ 9 ,2 7 4 5,841 3 ,4 3 2 9 7 ,4 63 4 9 ,7 5 4 4 7 ,7 0 9 8 4 ,2 0 5 3 9 ,0 1 7 4 5 , 188

1972 _____ 1 1,295 7 ,0 2 4 4,2 7 0 105, 143 5 3 ,3 11 5 1 ,8 3 2 90,7 80 4 1 ,7 6 4 4 9 ,0 1 5

1973 _____ 1 3,236 8 ,2 6 6 4 ,9 6 9 1 1 4 , 4 3 9 5 7 ,8 06 5 6 ,6 3 3 98,9 20 4 5 ,4 3 0 5 3 ,4 9 0

1 9 7 4 _____ 1 3,637 3 ,5 1 6 5, 120 123,798 6 2 ,2 4 2 6 1 ,5 56 107,066 4 9 ,0 0 9

__________

5 8 ,0 56

Sector 69. Wholesale and retail trade: Constant dollars

(Millions of 1972 dollars)

Y ea r

G ro ss in v e s tm e n t

—

G ro ss s to c k s N et s to c k s

i

T o ta l | Equi pm ent S t r u c t u r e s T o ta l E q u i p n e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1947 _____ $ 3 ,9 9 8 | $ 2 ,3 1 8 $ 1 ,6 8 0 $ 2 8 ,4 5 5 $ 1 6 ,4 9 5 $ 1 1 ,9 6 0 $ 2 3 ,4 2 2 $ 1 3 ,1 6 8 $ 1 0 ,2 5 4 1 9 4 8 . . . . 5 ,1 9 8 j 3 ,0 6 1 2, 136 3 2 ,2 1 9 18,373 13,845 2 7 ,0 2 9 14,918 12,111 1 9 4 9 . . . . 3 ,9 8 5 | 2 ,2 9 3 1,691 3 4 ,8 1 4 19,532 15,282 2 9 ,3 2 7 15,813 13,513

1950 _____ 4 ,8 0 9 j 2 ,7 5 0 2 ,0 5 8 3 8 ,2 6 5 2 1 ,1 8 5 17,079 3 2 ,2 9 6 17,024 1 5,272 1 9 5 1 . . . . 4 ,4 9 9 I 2,6 2 1 1,878 4 1 ,3 0 6 2 2 ,6 1 4 18,692 3 4 ,7 4 0 17,900 16,840

1 9 5 2 . . . . 3 ,0 3 4 | 1,770 1,263 4 2 ,6 60 2 2 ,9 7 4 19,686 3 5 ,4 97 17,714 1 7,783

1 9 5 3 . . . . 4 ,0 7 3 j 2 ,4 0 2 1,671 4 4 ,7 6 6 2 3 ,6 8 2 2 1 ,0 8 3 3 7 ,1 4 5 13,019 19,126 1 9 5 4 . . . . 5 ,0 9 6 j 2 ,9 3 2 2 ,1 6 4 4 7 ,6 5 6 2 4 ,6 8 8 2 2 ,9 6 8 3 9 ,7 11 18,760 2 0 ,9 5 1

1 95 5 _____ 6 ,8 8 9 | 3 ,9 3 3 2 ,9 5 5 5 2 ,1 9 9 2 6 ,5 6 0 2 5 ,6 3 9 4 3 ,9 9 8 2 0 ,4 4 2 2 3 ,5 5 6

1 9 5 6 . . . . 6 ,5 8 4 | 3 ,7 0 2 2 ,8 8 1 5 6 ,3 7 3 2 8 ,1 4 2 2 8 ,2 3 0 4 7 ,8 9 9 2 1 ,8 2 7 2 6 ,0 7 2 1957 . . . . 5 ,5 7 8 | 3,100 2 ,4 7 8 5 9 ,5 3 5 2 9 ,1 2 2 3 0 ,4 1 3 5 0 ,7 0 6 2 2 ,5 3 6 2 8 ,1 7 0

1 9 5 8 . . . . 5 ,1 7 4 | 2 ,7 5 9 2 ,4 1 4 6 2 ,2 6 3 2 9 ,7 37 3 2 ,5 2 6 5 3 ,0 0 4 2 2 ,8 1 3 3 0 ,1 9 0

1 9 5 9 . . . . 5 ,6 5 5 j

j

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

1960 _____ 5 ,9 5 2 | 3 ,2 3 7 2 , 7 14 6 8 ,7 3 0 3 1 ,4 6 4 3 7 ,2 6 5 5 8 ,4 4 1 2 3 ,7 2 5 3 4 ,7 1 5 1 9 6 1 . . . . 5 ,9 7 1 | 3 ,2 5 5 2 , 7 15 7 1 , 8 6 8 3 2 ,2 04 3 9 ,6 6 3 6 1 ,1 0 4 2 4 ,1 1 3 3 6 ,9 9 0

1 9 6 2 . . . . 7 ,0 9 9 | 3 ,9 9 7 3, 102 7 5 ,9 3 6 3 3 ,4 8 8 4 2 ,4 4 7 6 4 ,7 9 3 2 5 ,1 5 8 3 9 ,6 3 5 1 9 6 3 . . . . 6 ,6 9 6 j 3 ,8 7 0 2,826 7 9 ,4 6 4 3 4 ,5 0 9 4 4 ,9 5 4 6 7 ,9 9 4 2 6 ,0 1 0 4 1 , 9 8 3

1 9 6 4 . . . . 7 , 7 9 2 I 

j

4 ,4 5 9 3 ,3 3 2 8 4 ,0 3 5 3 6 ,0 67 4 7 ,9 6 7 7 2 ,2 2 2 2 7 ,4 0 7 4 4 ,8 1 4

1 96 5 _____ 9 ,6 0 2 j 5,5 5 1 4,051 9 0 ,4 02 3 8 ,7 06 5 1 ,6 9 6 78, 152 2 9 ,8 1 8 4 8 ,3 3 4

1 9 6 6 . . . . 1 0,833 I 6,341 4 ,4 9 1 9 7 ,9 7 2 4 2 ,1 17 5 5 ,8 5 5 8 5 ,1 2 6 3 2 ,8 6 8 5 2 ,2 5 8 1 9 6 7 . . . . 8 ,8 5 6 | 5,0 3 1 3 ,824 103,475 4 4 , 140 5 9 ,3 3 4 8 9 ,8 5 7 3 4 ,3 9 4 5 5 ,4 7 2 1 9 6 8 . . . . 1 1,818 j 6 ,9 0 7 4,911 1 1 1 , 8 0 4 4 7 ,9 16 6 3 ,8 8 7 9 7 ,3 1 5 3 7 ,5 8 5 5 9 ,7 30 1 9 6 9 . . . . 11,859 | 7 ,0 8 3 4,776 119,974 5 1 ,6 86 6 8 ,2 8 7 104,451 4 0 ,6 51 6 3 ,8 0 0

1 9 7 0 _____ 9 ,4 7 7 | 5 ,7 8 8 3 ,6 8 9 1 25,504 5 3 ,9 26 7 1 ,5 7 8 1 0 8 , 8 17 4 2 ,0 8 9 6 6 ,7 2 8

1 9 7 1 . . . . 9 ,4 9 9 j 5 ,8 8 2 3 ,6 1 6 130,751 5 5 ,9 7 5 7 4 ,7 7 6 112,860 4 3 ,3 3 4 6 9 ,5 2 5

1 9 7 2 . . . . 11,295 | 7 ,0 2 4 4 ,2 7 0 137,463 58,861 7 8 ,6 01 1 1 8 , 3 5 3 4 5 ,4 41 7 2 ,9 1 2

1 97 3 _____ 1 2 > / 6 6 j 8 ,1 6 0 4 ,6 0 5 145,298 62,5 71 8 2 ,7 2 6 124,956 4 8 ,3 9 5 7 6 ,5 6 0

1 9 7 4 . . . .

_______

1 1,721 |

_______ L_

7 ,721 4,0 0 0 151,743 6 5 ,5 4 2

__________

8 6 ,2 0 0 130,156 5 0 ,6 3 3 7 9 ,5 2 3

110

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 70- Finance and insurance: Historical dollars

(Millions of dollars)

—

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

----------------------------[—

T o ta l | E q u i p m a n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

I

T o ta l E q u i p m e n t S t r u c t u r e s

1 9 9 7 . .

----------------------------h

$130 I $ 9 $120 $ 2 ,3 86 $236 $ 2 ,1 9 9 $ 1 ,9 2 5 I $167 $ 1 ,7 5 8

1 9 4 6 . . 190 i 13 176 2 ,9 9 5 220 2 ,2 7 9 2 ,0 2 7 | 156 1,870

1999. . 182 | 13 168 2 ,5 9 5 207 2 ,3 8 8 2 ,1 2 0 | 197 1 , 9 7 2

1 9 5 0 . . 212 | 2 9 187 2 ,7 2 6 209 2 ,5 1 7 2 ,2 9 1 | 150 2 ,0 9 0

1 9 5 1 . . 257 | 18 238 2 ,8 9 9 205 2 ,6 9 9 2 ,9 0 9 I 196 2 ,2 5 8

1952. . 996 | 3 1 9 19 3 ,2 5 8 219 3 ,0 9 9 2 ,7 5 9 | 155 2 ,5 9 9

1953. . 6 19 i 9 3 575 3,7 8 7 239 3 ,5 5 3 3 ,2 7 9 I 175 3 ,0 9 8

1959. . 192 I 13 178 3 ,8 8 5 223 3 ,6 6 2 3 ,3 6 9 | 165 3 ,1 9 8

1955. . 570 | 9 0 529 '- , 3 6 0 290 9 ,1 1 9 3 ,8 3 1 | 183 3 ,6 9 7

1 9 5 6 . . 609 | 9 2 56 1 9 -367 2 6 0 9 .6 9 6 9 ,3 3 0 I 203 9, 127

1 9 5 7 . . 559 I 3 9 519 3 , 278 5 ,0 9 9 9 ,7 8 0 | 218 9 ,5 6 2

1 9 5 8 . . 756 I 5 0 705 5 , 9c9 307 5 , b / 7 5 ,9 2 9 I 291 5, 132

1959. . 967 | 135 831 6 ,8 9 3 919 6 ,9 2 9 6 , 2 7 4 | 

j

398 5 ,9 2 6

1 9 6 0 . . 973 I 199 778 7 ,7 1 5 587 7 ,1 2 7 7 ,1 2 3 | 507 6 ,6 1 5

1 961.. 1,181 1 307 873 8 ,7 8 7 866 7 ,9 2 1 8 ,1 6 9 | 772 7 ,3 9 7

1962. . 1,382 I 992 939 10,059 1,279 8 ,7 3 0 9 ,9 0 0 | 1, 157 8 ,2 9 3

1 96 3.. 1,790 | 699 1,095 1 1 , 6 8 7 1,889 9,7 9 7 1 0,963 I 1,720 9 ,2 9 3

1969. . 3 ,2 1 9 I 1,396 1,867 19,782 3 , 195 1 1 , 5 8 7 13,953 | 2 ,9 9 7 11,011

1965. .

I

1,887 | 881 1,005 16,538 9 ,0 2 0 12,517 1 5,598 | 3 ,6 3 6 11,911

1 9 6 6 . . 1,702 | 878 823 18,083 9 , 8 16 13,267 16,879 | 9 ,2 9 8 12,625

1 9 6 7 . . 2 ,9 1 3 | 1,360 1,052 2 0 ,2 97 6 ,0 9 9 19,297 1 8,815 I 5 ,2 5 2 13,563

1 9 6 8 . . 1,981 | 1,117 863 2 2 ,0 1 3 6 ,9 7 1 15,091 2 0 ,1 9 5 I 5 ,8 8 9 19,305

1 9 6 9 . . 9 ,7 9 6 I 2 ,7 0 9 2 ,091 2 6 ,9 36 9 ,3 7 2 17,069 2 4 ,2 5 8 | 7 ,9 8 9 16,268

1 9 7 0 . . 3 ,8 7 7 | 2 , 186 1,690 2 9 ,8 1 3 11,126 18,687 2 7 ,2 1 7 | 9 ,3 9 8 17,818

1971.. 9 ,1 2 5 I 2 ,3 2 6 1,798 3 3 ,3 0 2 12,889 2 0 ,9 17 3 0 ,2 5 5 I 10,791 19,963

1 9 7 2 . . 6 ,6 3 0 I 3 ,7 3 8 2 ,8 9 1 3 9 ,1 6 2 15,923 2 3 ,2 3 3 3 5 ,6 21 | 13,935 2 2, 185

1973. . 7 ,3 7 3 i 9 ,1 5 7 3 ,2 1 5 9 5 ,6 97 19,269 2 6 ,3 8 2 9 1 ,9 8 5 I 1 6,272 2 5 ,2 1 2

1979. . 7 ,5 9 6 |

_________ L_

9 ,2 8 3 3 , 3 12 52, 195 2 2 ,5 7 6 2 9 ,6 1 9 9 7 ,2 7 9 |

_________ L

1 8,961 2 8 ,3 1 2

Sector 70. Finance and insurance: Constant dollars

(Millions of 1972 dollars)

Y ea r I

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

I

I T o t a l

!

I

E qu ip m e nt j S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l | E qu i p m e n t S t r u c t u r e s

I

1 9 9 7 . . . . | $28 1 $19 | $267 I $ 1 0 , 7 9 3 $93 1 $ 1 0 ,36 1

r

$ 8 ,9 1 7 | $299

—

$ 8 ,1 17

1998 _____ j 3 7 2 19 | 353 I 1 0 , 7 6 2 399 10,368 8 ,3 8 5 | 273 8 ,1 1 1

1 949 _____ j 3 6 5 16 1 396 ! 1 0 , 7 2 1 362 10,359 8 ,3 4 6 | 25 1 8 ,0 9 5

1 9 5 0 . . . . | 921 3 3 337 10,736 352 10,389 8 ,3 6 3 | 295 8 ,1 1 7

1 95 1 _____ | 9 5 8 23 I 939 I 1 0 , 7 8 6 335 10,951 8 ,9 1 6 I 231 8 ,1 3 5

1 95 2 _____ | 7 7 1 39 | 731 I 1 1 , 1 9 6 339 10,812 8 ,7 8 1 | 232 8 ,5 9 9

1 9 5 3 . . . . | 1,071 55 I 1,016 j 1 1 , 8 0 0 398 1 1 , 9 5 2 9 ,9 9 5 I 299 9,1 9 6

1954 _____ !

j

39 1 16 | 329 1 1 1 , 7 1 9 323 11,395 9 ,3 8 0 | 229 9, 150

1 95 5 _____ | 9 9 8 99 | 998 1 1 2 , 2 9 9 339 11,959 9 ,9 7 5 I 295 9 ,7 2 9

1956 _____ | 9 7 3 98 I 929 12,893 397 12,996 10,597 | 26 1 10,286

1957 _____ | 8 6 5 9 3 82 1 I 1 3 , 2 3 7 357 12,929 1 1,013 I 27 1 10,792

1958 _____ | 1 ,206 56 | 1,150 I 1 9 , 0 7 2 38 1 13,691 11,823 | 29 1 11,531

1959 _____ | 1 ,518 149 | 1,369 1 1 5 , 1 7 0 998 19,671 12,997 | 903 1 2,593

I960 _____ | 1 ,999 212 1,286 16,297 675 15,571 14,049 | 573 1 3,975

1 96 1 _____ | 1 ,789 335 | 1,998 I 1 7 , 6 1 1 979 16,637 1 5,933 I 857 19,575

1 96 2 _____ j 2 ,0 2 7 985 1,592 1 1 9 , 2 2 9 1,920 1 7,803 17,051 I 1,276 15,775

1 963 --------- | 2 ,9 7 1 705 I 1,766 I 2 1 , 2 8 7 2 ,0 8 9 19,202 19,099 | 1,890 17,209

1969 _____ | 9 ,9 2 6 1,971 | 2 ,9 5 9 2 5 ,3 0 7 3,5 0 7 2 1 ,8 0 0 2 3 ,0 5 5 | 3 ,2 2 9 19,826

1 9 6 5 _____ I 2 , 5 15 966 j 1,599 I 2 7 , 9 1 3 9 ,9 0 9 2 3 ,0 0 9 2 5 ,0 2 6 | 3 ,9 8 3 2 1 ,0 9 2

1 9 6 6 _____ | 2 ,1 7 7 959 | 1,218 1 2 9 , 1 6 9 5 ,2 7 5 2 3 ,8 8 9 2 6 ,5 8 1 | 9 ,6 5 0 2 1 ,9 31

1967 _____ | 2 ,9 6 0 1,967 I 1,992 I 3 1 , 6 6 5 6 ,6 0 2 2 5 ,0 6 3 2 8 ,8 2 9 | 5 ,7 2 7 2 3 ,0 97

1968 _____ | 2 ,3 5 3 1,185 | 1,168 i 3 3 , 9 9 8 7 ,5 7 2 2 5 ,9 2 6 3 0 ,3 2 5 i 6 ,3 8 6 2 3 ,9 3 8

1969 _____ |

j

5 ,9 1 7 2 ,8 2 9 | 2 ,5 8 8 I 3 8 , 2 9 1 10,067 2 8 ,2 2 3 3 9 ,7 5 5 I 8 ,5 5 6 2 6 ,1 9 9

1 9 7 0 _____ I 9 , 163 2 ,2 9 2 | 1,921 9 1 , 7 0 2 11,836 2 9 ,8 6 5 3 7 ,7 9 0 I 9 ,9 5 5 2 7 ,7 8 9

1 97 1 _____ | 9 ,2 3 3 2 ,3 3 8 | 1,895 I 9 5 , 0 9 5 13,552 3 1 ,9 9 2 9 0 ,6 2 1 I 11,287 2 9 ,3 3 9

1 972 _____ | 6 ,6 3 0 3 ,7 3 8 | 2 ,891 I 5 0 , 6 9 9 16,526 3 9 ,1 2 2 9 5 ,7 2 9 I 13,856 3 1 ,8 6 8

1 97 3 --------- I 7 ,1 1 6 9 ,1 3 6 | 2 ,9 8 0 I 5 6 , 6 2 5 19,779 3 6 ,8 5 0 5 1 ,0 7 0 | 16,597 3 9 ,9 7 2

1 97 9 _____ | 6 ,6 6 3 9 , 0 7 5 | 

|

2 ,5 8 8 6 1 ,9 9 0 2 2 ,8 0 0 3 9, 189 5 5 ,6 6 9 | 19,008

_________

3 6 ,6 61

111

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 71. Real estate and rentals: Historical dollars

(Millions of dollars)

Gross i n v e s t m e n t G ro ss s to c k s Met s to c k s

T o t a l i E q u i p m e n t S t r u c t u r e s T o ta l E q u ip m e n t I S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s

1947 . . . . $62 I $17 $44 $ 5 ,7 6 5 $932 $ 4 ,8 3 3 $ 4 ,5 7 0 $704 $ 3 ,8 6 6

1 94 8 _____ 1 08 I 4 6 6 1 5 ,6 5 0 899 i 4,7 5 1 4 ,4 3 2 669 3 ,7 6 2

1 94 9 _____ 4 7 1 I 203 267 5 ,8 9 3 1,024 4 ,8 6 9 4 ,6 5 4 793 3 ,8 6 1

1 9 5 0 . . . .

1

4 0 9 | 176 232 6 ,0 6 8 1 , 1 2 4 4 ,9 4 4 4 ,8 0 6 884 3 ,921

1951 . . . . 439 1 189 249 6 ,2 6 7 1,236 5 ,0 3 0 4 ,9 7 7 932 3 ,9 9 4

1952 _____ 2 40 I 103 136 6 ,2 5 6 1,258 4 ,9 9 8 4 ,9 3 9 986 3 ,9 5 3

1 9 5 3 . . . . 4 16 I 179 236 6 , 4 10 1,350 5 ,0 5 9 5 ,0 7 1 1,061 4 ,0 0 9

1954 _____ 1 ,681 | 725 955 7 ,8 2 0 1,985 5 ,8 3 5 6 ,4 5 9 1,674 4 ,7 8 5

1 95 5 _____

1

1 /752 | 756 995 9 ,2 9 3 2 ,6 4 7 6 ,6 4 6 7 ,8 9 0 2 ,2 9 2 5 ,5 9 8

1956. .. . 1,275 I 550 724 10,276 3 ,0 9 3 7 , 1 3 2 8 ,8 1 3 2 ,6 7 4 6, 138

1957 _____ 1 ,904 j 822 1,081 1 1 , 8 7 6 3 ,8 0 2 8 ,0 7 4 10,334 3 ,2 9 8 7 ,0 3 6

1953 . . . . 884 i 384 499 12,441 4 ,0 5 9 8 ,3 8 2 10,789 3 ,4 3 8 7 ,3 5 1

1 95 9 _____ 1 ,190 | 481 708 13,291 4,3 9 1 8 ,8 9 9 11,510 3 ,631 7 ,8 7 8

1 9 6 0 _____

I

1 /709 | 647 1,061 14,623 4 ,8 5 2 9 ,7 7 1 12,700 3 ,9 4 0 8 ,7 6 0

1 9 6 1 . . . . 1,889 I 647 1,241 16,084 5 ,2 5 8 10,826 1 4,014 4 ,1 9 1 9 ,8 2 3

1962. . . . 1,903 I 670 1,237 17,509 5 ,6 2 8 11,880 15,300 4 , 4 17 10,882

1 9 6 3 . . . . 1,577 | 58 1 995 1 8,552 5 ,8 5 3 12,698 1 6,2 13 4 ,5 1 3 11,700

1 9 6 4 _____ 6 08 | 3S9 208 18,582 5 ,8 4 7 12,735 16,127 4 ,3 9 4 11,732

1 9 6 5 . . . . 3 ,0 2 0 | 7 7 2 ,9 4 2 2 0 ,9 87 5 ,4 7 5 15,512 18,434 3 ,9 3 4 14,500

1966 _____ 3 ,6 4 9 | 1,050 2 ,6 1 8 2 3 ,9 8 7 6 , 0 15 17,971 2 1 ,3 5 9 4 ,4 2 2 16,937

1 9 6 7 . . . . 2 ,9 3 5 I 838 2,0 9 6 2 6 ,2 4 2 6 ,3 2 4 19,917 2 3 ,5 3 9 4 ,6 9 4 18,844

1 96 8 _____ 1 ,876 1 636 1,239 2 7 ,4 1 5 6 ,4 0 3 2 1 ,0 1 2 2 4 ,6 3 9 4 ,7 5 3 19,886

1969 _____ 2 ,1 7 8 I 372 1,805 2 8 ,8 3 2 6 ,2 0 2 2 2 ,6 8 0 2 6 ,0 3 6 4 ,5 4 9 2 1 ,4 8 6

1 9 7 0 . . . .

I

4 ,0 7 9 | 542 3,536 3 2 ,2 57 6 , 1 7 3 2 6 ,0 8 4 2 9 ,3 2 8 4 ,5 2 2 2 4 ,8 0 5

1 9 7 1 . . . . 5 ,6 9 6 I 1 , 0 5 8 4,637 3 7 ,2 6 2 6 ,6 7 0 3 0 ,5 9 2 3 4 ,2 1 7 5 ,0 1 1 2 9 ,2 0 5

1 97 2 _____ 4 ,5 8 5 I 1,391 3,1 9 3 4 1 ,1 61 7 ,5 0 3 3 3 ,6 5 8 3 7 ,9 4 4 5 , 8 11 32, 133

1 9 7 3 . . . . 6 ,9 2 9 I 958 5,970 4 7 ,3 8 8 7 ,8 8 9 3 9 ,4 9 9 4 3 ,9 5 4 6, 143 37,8 11

1 97 4 _____ 4 ,9 1 2 I

l

1,791 3, 120 5 1 ,5 81 9,0 9 7 4 2 ,4 8 4 4 7 ,8 8 4 7 ,2 8 4

__________

4 0 ,6 0 0

__________

Sector 71. Real estate and rentals: Constant dollars

(Millions of 1972 dollars)

Y ea r

—

G r o s s i n v e s t m e v t G ro ss s to c k s

— ----------------------------------------------------------------------

N et s to c k s

T o ta l E qu ip m e nt S t r u c t u r e s T o ta l E qu ip m e n t S t r u c t u r e s

I

T o ta l E qu i p m e n t S t r u c t u r e s

1947 _____

1 94 8 ______________

1 94 9 ______________

$ 124

189

833

$27

6 8

295

$97

120

537

$ 2 4 ,4 4 4

2 3 ,5 5 8

2 3 ,3 1 0

$ 2 ,0 5 8 

1,918 

2 , 0 12

—

$ 2 2 ,38 6

2 1 ,6 3 9

2 1 ,2 9 8

$ 1 8 ,7 1 4

17,849

17,637

$ 1 ,4 7 9

1,354

1,467

$ 1 7 ,2 3 5 

16,494 

16, 170

1950 _____

1 951 ______________

1 95 2 ______________

1 95 3 ______________

1 954 ______________

7 28 

698 

3 7 1 

649 

2 ,6 4 3

248 

245 

132 

233 

9 10

480

453

239

415

1,733

2 2 ,9 5 8 

2 2 ,5 7 2 

2 1 ,8 5 6 

2 1 ,4 0 9 

2 2 ,9 5 7

2 ,0 6 8 

2 , 126 

2 ,0 7 2 

2 ,1 1 8 

2 ,8 4 4

2 0 ,8 8 9

2 0 ,4 4 6

1 9,783

19,291

2 0 ,1 1 3

1 7,323

16,979

16,312

15,932

17,555

1,531

1,591

1,534

1,580

2 ,2 9 9

15,791

15,388

14,777

14,352

15,256

1 95 5 ______________

1956 _____

1 957 _____

1 95 8 ______________

1 9 5 9 ______________

2 ,7 5 6 

1,850 

2 ,6 5 7 

1,259 

1 ,7 19

953

651

946

448

562

1,803 

1,199 

1,710 

810 

1, 157

2 4 .6 2 0

2 5 ,3 7 4

2 6 ,9 3 7

2 7 ,1 0 0

2 7 ,7 16

3 , 6 16 

4 ,0 8 2 

4 ,8 3 8 

5 ,0 8 5 

5 ,4 2 3

2 1 ,0 u 4 

2 1,'-52 

2 2 ,0 9 9 

2 2 ,0 1 5 

2 2 ,2 9 2

19,278

2 0 ,0 7 4

2 1 ,6 6 5

2 1 ,8 2 7

2 2 ,4 2 6

3 ,0 3 6

3 ,4 4 0

4 ,1 0 8

4 ,2 2 9

4 ,4 1 7

16,241

16,634

17,557

17,598

1 8,009

1960 _____

1 96 1 _____

1 96 2 ______________

1 963 ______________

1 964 ______________

2 ,5 0 2

2 ,8 0 2

2 ,7 9 6

2 ,2 6 8

790

753

753

784

678

463

1,748

2 ,0 4 8

2,011

1,590

327

2 9 ,0 90

3 0 ,7 2 5

3 2 ,3 1 4

3 3 ,3 4 5

3 2 ,8 7 9

5 ,9 1 3

6 ,3 4 2

6 ,7 3 4

6 ,9 6 3

6 ,9 2 3

2 3 , 177 

2 4 ,3 8 3 

2 5 ,5 7 9 

2 6 ,3 8 2 

2 5 ,9 5 6

2 3 ,7 7 6

2 5 ,3 8 9

2 6 ,9 6 7

2 7 ,9 9 9

2 7 ,5 4 6

4 ,7 3 9 

5 ,0 0 0 

5 ,2 3 8 

5 ,3 2 7 

5 , 169

19,037

2 0 ,3 8 9

2 1 ,7 2 9

2 2 ,6 7 2

2 2 ,3 7 6

1 9 6 5 ______________

1 966 _____

1 967 _____

1 968 _____

1 969 _____

4 ,5 8 2 

5 , 0 3 1 

3 ,8 9 7 

2 ,3 6 4 

2 ,6 3 3

90 

1 , 1 8 7 

948 

700 

399

4 ,4 9 2

3,8 4 4

2 ,9 4 8

1,663

2 ,2 3 4

3 6,1 91

3 9 ,9 46

4 2 ,5 6 5

4 3 ,6 60

4 5 ,0 4 9

6 ,4 6 3 

7 ,0 5 6 

7 ,3 7 0 

7 ,4 0 6 

7, 126

2 9 ,7 2 8

3 2 ,8 8 9

3 5 ,1 9 5

3 6 ,2 54

3 7 ,9 2 2

3 0 ,8 9 2

3 4 ,6 9 9

3 7 ,3 5 9

3 8 ,4 3 8

3 9 ,9 0 0

4 , 6 18 

5 ,161 

5 ,4 4 2 

5 ,4 6 6 

5, 193

2 6 ,2 7 4

2 9 ,5 3 8

3 1 ,9 17

3 3 ,0 2 2

3 4 ,7 0 7

1970 _____

1 97 1 _____

1 97 2 ______________

1 97 3 ______________

1 97 4 ______________

4 ,5 7 6

5 ,9 5 5

4 ,5 8 5

6 ,4 9 9

4 ,0 2 9

_______

5 6 2

1,063

1,391

940

1,596

1

4 , 0 14 

4,891 

3 ,193 

5 ,5 5 9 

2 ,4 3 2

4 8 ,4 1 9

5 3 ,2 1 5

5 6 ,6 76

62,0 57

64,9 70

_______

7 , 0 15 

7,4 2 1 

8 , 1 6 1 

8 ,4 3 8 

9,3 6 1

4 1 ,4 0 3 

4 5 ,7 9 4 

4 8 ,5 1 4 

5 3 , 6 1 8 | 

5 5 ,6 0 8

__________

4 3 ,2 7 0

4 8 ,0 1 5

5 1 ,3 5 2

5 6 ,5 5 5

5 9 ,2 3 8

5 ,0 9 4

5 ,5 0 2

6 ,2 1 9

6 ,4 5 7

7 ,3 3 4

3 8, 175 

4 2 ,5 1 2 

4 5 , 132 

5 0 ,0 9 8 

5 1 ,9 0 3

Digitized 

112

for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 72. Hotels and repair places except auto repair: Historical dollars

(Millions of dollars)

Y ear

Gross in v e s tm e n t

—

G ro ss s to c k s N et s to c k s

!

T o t a l I E q u i p m e n t S t r u c t u r e s

I

T o ta l I

I

E q u i p m e n t S t r u c t u r e s

1

T o ta l E q u ip m e n t I S t r u c t u r e s

1947 . . . .

----------------------------!—

$723 I $293 $424 $ 7 ,6 1 2 I $ 1 ,8 1 3 $ 5 ,7 9 9 $ 6 ,3 2 8 I $ 1 ,5 21 I $ 4 ,8 0 7

1 9 4 8 . . . . 8 0 1 I 385 4 15 8 ,1 8 2 | 2 ,1 0 5 6 ,0 7 7 6 ,8 4 2 | 1,782 5 ,0 5 9

1 94 9 _____ 6 43 I 27 1 37 1 8 ,5 8 8 | 2 ,2 8 4 6 ,3 0 4 7 , 1 6 9 | 

j

1,907 | 5 ,2 6 2

1950 . . . .

I

606 I 182 423 8 ,9 4 0 I 2 ,3 6 2 6 ,5 7 8 7 ,4 2 9 | 1,916 I 5 ,5 1 2

1951 . . . . 666 | 257 408 9 ,3 2 4 I 2 ,4 9 3 6 ,8 3 0 7 ,7 1 9 | 5 ,7 4 3

1 9 5 2 . . . . 573 I 9 4 478 9,5 7 7 I 2 ,4 3 0 7 ,1 4 6 7 ,8 8 9 I 1,849 I 6 ,0 3 9

1 9 5 3 . . . . 875 | 199 675 10,095 I 2 ,4 4 1 7 ,6 5 4 8 ,3 4 7 I 1,817 I 6 ,5 2 9

1954 _____ 5 46 I 138 407 10,256 j 2 ,3 6 7 7 ,8 8 8 8 ,4 6 6 | 1,719 | 6 ,7 4 7

1 9 5 5 . . . .

I

1,052 I 382 669 10,906 I 2 ,5 2 6 8 ,3 8 0 9 ,0 9 3 | 1,868 7 ,2 2 4

1956 . . . . 1,395 I 6 19 775 11,891 I 2 ,9 1 9 8 ,9 7 2 1 0,059 j 2 ,2 5 4 | 7 ,8 0 5

1957 . . . . 1,232 I 564 667 1 2,7 13 I 3 ,2 6 0 9,4 5 3 10,8 53 | 2 ,5 7 8 I 8 ,2 7 5

1958 . . . . 1,356 I 542 8 13 1 3,659 I 3 ,5 8 3 10,076 11,757 | 2 ,8 6 8 I 8 ,8 8 9

1 95 9 _____ 1 ,554 | 59 1 962 14,804 J 3,9 5 7 10,846 1 2 , 8 3 8 I 

j

3 ,1 8 7 I 9,651

1960 . . . .

I

1,579 I 535 1,043 15,964 | 4 ,2 6 8 11,695 13,911 | 3 ,4 1 8 I 10,492

1 9 6 1 . . . . 1,973 I 684 1,288 17,494 | 4 ,7 0 4 12,789 15,339 I 3 ,7 6 1 1 1 1 , 5 7 8

1 9 6 2 . . . . 1,965 | 556 1,408 18,981 | 4 ,9 7 6 14,004 1 6,715 I 3 ,9 3 3 | 12,781

1 9 6 3 . . . . 2 ,3 1 1 i 727 1,583 2 0 ,7 7 2 | 5 ,3 7 5 15,396 1 8,398 I 4 ,2 4 0 1 14, 15 1

1 96 4 --------- 2 ,4 4 0 I 737 1,702 2 2 ,6 5 6 | 5 ,7 4 5 16,911 2 0 , 1 7 1 j 

|

4 ,5 2 3 I 1 5,648

1 9 6 5 . . . .

1

2 ,2 6 0 | 579 1,680 2 4 ,3 3 2 | 5 ,9 2 5 18,407 2 1 ,7 2 8 I 4 , 6 16 17,111

1 9 6 6 . . . . 2 ,5 0 0 I 808 1,691 2 6 ,2 2 5 I 6 ,3 0 9 19,916 2 3 ,4 9 4 | 4 ,9 1 5 I 18,579

1 9 6 7 . . . . 2 ,0 3 7 i 578 1,458 2 7 ,6 3 5 I 6 ,4 3 9 2 1 ,1 9 5 2 4 ,7 5 9 | 4 ,9 5 1 I 19,807

1 9 6 8 . . . . 2 ,4 5 8 i 9 14 1,543 2 9 ,4 4 0 | 6,8 7 7 2 2 ,5 6 2 2 6 ,4 1 1 | 5 ,2 9 9 2 1 ,1 1 2

1 96 9 _____ 2 ,3 0 0 | 692 1,607 3 1 ,0 5 8 | 7 ,0 6 2 2 3 ,9 9 5 2 7 ,8 6 4 I 5 ,3 9 4 2 2 ,4 7 0

1 9 7 0 . . . . 2 ,2 4 0 I 654 1,585 3 2 ,5 8 7 i 7 ,1 7 9 2 5 ,4 0 8 2 9 ,2 2 1 I 5 ,4 2 7 I 2 3 ,7 9 4

1 9 7 1 . . . . 2 ,4 3 6 | 779 1,656 3 4 ,2 8 3 | 7,3 9 1 2 6 ,8 9 2 3 0 ,7 41 I 5 ,5 6 6 | 2 5 ,1 7 4

1 9 7 2 . . . . 3 ,0 5 2 I 791 2 ,2 6 0 3 6 ,5 6 6 I 7 ,5 8 9 2 8 ,9 7 7 3 2 ,3 3 9 I 5 ,6 9 6 | 2 7 ,1 4 2

1 9 7 3 ... . 3 ,1 9 4 | 6 13 2 ,5 8 0 3 8 ,9 6 4 | 7 ,5 8 2 3 1,3 81 3 5 ,0 4 0 I 5 ,6 3 0 2 9 ,4 0 9

1 97 4 --------- 2 ,2 7 7 I

______ I_

4 3 7 1,839 4 0 ,4 1 6 |

I

7 ,3 7 7 3 3 ,0 3 9

________

3 6 ,2 8 9 |

______ L

5 ,3 7 8 3 0 ,9 10

Sector 72. Hotels and repair places except auto repair: Constant dollars

(Millions of 1972 dollars)

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l E q u i p m e n t 

_____________________

S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o t a 1 E qu i p m e n t S t r u c t u r e s

1 94 7 _____ $ 1 ,4 30 $487 $942 $ 3 1 ,5 0 3 $ 3 ,7 9 9 $ 2 7 ,7 0 3 $ 2 4 ,9 7 0 $ 3 ,0 7 8 $ 2 1 ,8 5 2

1948 _____ 1 ,424 59 1 832 3 1,7 40 4,1 5 1 2 7 ,5 8 8 2 5 , 180 3,3 9 1 2 1 ,7 8 9

1 9 4 9 _____ 1 ,17 1 406 765 3 1 ,7 25 4 ,3 2 6 2 7 ,3 9 9 2 5 ,1 0 5 3 ,4 8 6 2 1 ,6 1 9

1 9 5 0 _____ 1 , 145 268 876 3 1 ,6 64 4 ,3 4 9 2 7 ,3 1 5 2 4 ,9 6 6 3 ,4 0 4 2 1 ,5 61

1951 _____ 1 ,095 350 745 3 1 ,5 14 4 ,4 1 7 2 7 ,0 9 7 2 4 ,7 4 5 3 ,3 6 9 2 1 ,3 7 6

1 9 5 2 _____ 970 1 2 5 845 31,1 86 4 ,2 0 9 2 6 ,9 7 7 2 4 ,3 7 6 3,081 2 1 ,2 9 4

1953 _____ 1 ,464 27 1 1,193 3 1 ,3 0 2 4 ,0 9 9 2 7 ,2 0 3 2 4 ,4 9 9 2 ,9 3 4 2 1 ,5 6 5

1954 _____ 9 2 4 182 74 1 30,8 50 3 ,8 7 3 2 6 ,9 7 6 2 4 ,0 9 5 2 ,7 0 3 2 1 ,3 91

1 955 _____ 1 ,708 509 1,199 31,1 76 3 ,9 6 9 2 7 ,2 0 7 2 4 ,5 0 2 2 ,8 1 9 2 1 ,6 8 2

1956 _____ 2 ,0 3 6 759 1,277 3 1 ,8 4 2 4 ,3 2 5 2 7 ,5 1 6 2 5 ,2 5 9 3 ,1 9 8 2 2 ,0 6 0

1957 _____ 1 ,728 672 1,055 3 2 ,2 20 4 , 6 13 2 7 ,6 0 6 2 5 ,7 2 2 3 ,4 9 4 2 2 ,2 2 7

1 958 _____ 1 ,971 645 1,326 3 2 ,8 6 2 4 ,8 8 9 2 7 ,9 7 3 2 6 ,4 3 9 3 ,7 6 0 2 2 ,6 7 8

1959 _____ 2 ,2 8 1 696 1,585 3 3 ,8 3 4 5 ,2 3 0 2 8 ,6 0 4 2 7 ,4 6 6 4 ,0 6 4 2 3 ,4 01

1960 _____ 2 ,3 5 2 628 1,724 3 4 ,8 3 4 5 ,5 0 1 2 9 ,3 8 2 2 8 ,5 5 1 4 ,2 7 1 2 4 ,2 7 9

196 1 _____ 2 ,9 4 0 804 2 ,1 3 6 3 6 ,5 1 4 5 ,9 2 9 3 0 ,5 8 5 3 0 ,2 0 6 4 , 6 19 2 5 ,5 3 6

1 96 2 _____ 2 ,9 7 1 659 2 , 3 12 38, 158 6 , 1 76 31,9 81 3 1 ,8 67 4 ,7 8 0 2 7 ,0 8 6

1 96 3 _____ 3 , 4 17 863 2 ,5 5 3 4 0 ,2 2 4 6 ,5 8 5 3 3 ,6 3 9 3 3 ,9 57 5 ,1 1 2 2 8 ,8 4 4

1964 _____ 3 ,5 6 3 869 2 ,6 9 3 4 2 ,4 2 5 6 ,9 6 5 3 5 ,4 6 0 3 6 ,1 7 4 5 , 4 17 3 0 ,7 5 7

1 9 6 5 _____ 3 ,276 687 2 ,5 8 9 4 4 ,3 3 8 7, 135 3 7 ,2 0 2 3 8 ,0 8 8 5 ,5 1 0 3 2 ,5 7 8

1 966 _____ 3 ,4 5 0 948 2 ,5 0 2 4 6 ,4 31 7 ,5 4 8 3 8 ,8 8 2 4 0 ,1 6 5 5,8 4 1 3 4 ,3 2 4

1967 _____ 2 ,7 3 7 668 2 ,0 6 8 4 7 ,8 17 7,6 6 1 4 0, 155 4 1 ,5 0 6 5 ,8 5 8 3 5 ,6 47

1 96 8 _____ 3 ,1 1 2 1,024 2 ,0 8 8 4 9 ,5 7 9 8 ,1 0 3 4 1 ,4 7 6 4 3 ,2 0 5 6 ,2 0 6 3 6 ,9 9 9

1 969 _____ 2 ,7 4 2 753 1,989 5 0 ,9 6 6 8 ,2 4 3 4 2 ,7 2 3 4 4 ,5 0 6 6 ,2 4 9 3 8 ,2 57

1970 _____ 2 ,4 8 8 686 1,801 5 2 ,0 90 8 ,2 8 3 4 3 ,8 06 4 5 ,5 3 2 6 ,2 0 2 3 9 ,3 3 0

197 1 _____ 2 ,5 3 2 787 1,745 5 3 ,2 4 8 8 ,3 9 1 4 4 ,8 5 7 4 6 ,5 8 6 6 ,2 4 0 4 0 ,3 46

1 972 --------- 3 ,0 5 2 79 1 2 ,2 6 0 5 4 ,9 1 8 8 ,4 7 6 4 6 ,4 41 4 8 , 140 6 ,2 6 6 4 1 ,8 7 4

1 97 3 _____ 2 ,9 9 5 603 2 ,3 9 1 5 6 ,5 24 8 ,3 4 8 4 8 ,1 76 4 9 ,6 1 5 6 ,0 9 2 4 3 ,5 2 2

1 974 _____ 1 ,831 393 1,437 5 6 ,9 5 9 7 ,9 8 9 4 8 ,9 6 9 4 9 ,9 1 1 5 ,7 0 9 4 4 ,2 0 2

113

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 73. Business services, research and development: Historical dollars

(Millions of dollars)

Y ea r i

G ro ss in v e s tm e n t G ro ss s to c k 3 N et s to c k s

I

I T o ta l E q u i p m e n t S t r u c t u r e s T o ta l

I

E q u i p m e n t | S t r u c t u r e s I T o t a l E q u i p m e n t S t r u c t u r e s

1947 _____ $313 $290 $22 $ 1 ,3 0 9 $ 1 , 2 2 5 $84 I $ 1 , 0 3 7 $962 $75

1948 _____ I 39 1 3 6 3 2 7 1,589 1,479 j 1 10 1 1 , 3 1 2 1,211 10 1

1 94 9 _____ 309 287 2 1 1,790 1,660 | 130 1,496 1,375 120

1950 _____ I 3 6 8 342 2 5 2 ,0 5 4 1,900 | 154

I

I 1 , 7 2 6 1,583 143

1 951 _____ I 5 6 2 522 3 9 2 ,5 1 4 2 ,3 2 2 | 191 I 2 , 1 2 8 1,947 180

1 95 2 _____ I 2 8 0 260 19 2 ,6 7 7 2 ,4 6 7 | 209 2 , 2 11 2 ,0 1 3 197

1953 _____ I 3 7 8 35 1 2 6 ;• ,910 2 ,6 7 6 234 I 2 , 3 6 0 2 ,1 3 9 22 1

1 95 4 _____ 362 336 2 5 3 . C 9 1 2 ,8 3 4 ! 257 I 2 , 4 6 1 2 ,2 1 7 243

1955 _____ 565 525 3 9 3 ,4 3 6 3,1 4 1 | 2 9 4 2 ,7 3 6 2 ,4 5 5 280

1956 . . . . I 6 15 572 4 2 3 ,7 9 3 3 ,4 5 8 | 335 I 3 , 0 3 3 2 , 7 13 319

1957 _____ I 1 ,053 979 7 3 4 ,5 6 0 4 ,1 5 3 I 406 I 3 , 7 4 4 3 ,3 5 5 389

1 95 8 _____ I 8 17 759 5 7 5 ,0 6 9 4 ,6 0 7 | 46 1 I 4 , 1 8 4 3,7 4 1 443

1959 _____ I

I

8 19 76 1 5 7 5 ,5 6 6 5 ,0 4 9 | 5 16 I 4 , 5 9 2 4 ,0 9 6 496

1 9 6 0 _____ 994 924 6 9 6 ,2 2 3 5 ,6 4 0 | 583 I 5 , 1 3 2 4 ,5 7 0 56 1

196 1 _____ I 1 ,195 1,110 8 4 7 ,0 5 5 6 ,3 8 9 I 665 I 5 , 8 1 0 5 ,1 6 9 64 1

1 9 6 2 . . . . I 1,317 1,224 9 2 7 ,9 5 6 7 ,2 0 0 | 755 1 6 , 5 3 4 5 ,8 0 5 728

1 96 3 _____ I 1 ,441 1,339 10 1 8 ,9 1 0 8 ,0 5 6 | 854 1 7 , 3 0 1 6 ,4 7 7 824

1 96 4 _____ I 8 6 8 306 6 1 9,2 1 7 8 ,3 0 3 I 913 I 7 , 4 1 4 6 ,5 3 4 879

1 9 6 5 _____ 2 ,0 1 6 1,874 14 1 10,596 9 ,5 4 3 | 1 , 0 5 2 8 ,6 1 3 7 ,5 9 9 1,014

1966 _____ I 2 ,2 0 4 2 ,0 4 8 155 12,093 10,888 1,205 I 9 , 9 0 6 8 ,7 4 4 1,162

1967 . . . . I 2 ,4 0 3 2 ,2 3 3 169 13,713 12,341 1,372 I 1 1 , 2 9 4 9,9 7 1 1,322

1968 _____ I 3 ,9 8 8 3,7 0 7 280 16,839 15,190 1,649 14, 153 12,560 1,593

1 96 9 _____ I

I

3 ,8 3 5 3,5 6 4 270 19,734 17,817 | 1,916 j 1 6 , 6 8 4 1 4,832 1,852

1970 _____ I 2 ,1 7 8 2 ,0 2 4 153 2 0,8 81 18,815 2 ,0 6 6 17,353 15,36 1 1,992

1 9 7 1 . . . . I 1,298 1,206 9 1 2 1 ,0 3 2 18,879 | 2, 153 1 1 6 , 9 5 6 14,837 2 ,0 6 9

1 972 _____ I 2 , 6 15 2 ,4 3 1 183 22,3 31 1 9,999 | 2 ,3 3 2 I 1 7 , 6 8 9 1 5,452 2 ,2 3 6

1 97 3 _____ I 4 ,7 8 6 4 ,4 5 0 335 2 5 ,5 46 2 2 ,8 8 3 | 2 ,6 6 2 I 2 0 , 3 6 9 17,815 2 ,5 5 3

1 9 7 4 _____ I

|

4 ,9 3 1 4 ,5 8 5

_

3 4 5 2 8 ,5 9 9

_______

2 5 , 5 9 6 I 

I

3 ,0 0 2 2 2 ,9 5 9

_______

2 0 ,0 8 0 2 ,8 7 8

Sector 73. Business services, research and development: Constant dollars

(Millions of 1972 dollars)

—

Y ea r

G ro ss in v e s tm e n t

“ 1

G ro ss s to c k s N at s to c k s

T o ta l E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s T o ta l

r

E q u ip m e n t I S t r u c t u r e s

1947 _____ $ 518 $469 $49 $ 2 ,7 2 9 $ 2 ,3 7 1 $357 $ 2 , 108 $ 1 ,8 01 | $307

1948 . . . . 6 10 556 5 4 3,0 9 1 2 ,6 8 5 405 2 ,4 7 6 2 ,1 2 2 353

1949 --------- 4 7 0 426 4 3 3 ,3 2 2 2 ,8 8 0 441 2 , 6 97 2 ,3 1 0 j 387

1 95 0 --------- 5 5 1 499 5 2 3 ,6 5 0 3 ,1 6 4 485 2 ,9 8 9 2 ,5 5 9 430

195 1 _____ 7 7 9 707 7 1 4 ,2 1 7 3 ,6 6 7 549 3 ,4 8 1 2 ,9 8 9 | 492

1 952 _____ 376 3 4 2 3 4 4 ,3 6 3 3 ,7 8 8 574 3 ,5 2 3 3 ,0 0 7 516

1 95 3 _____ 5 15 469 4 6 4 , 6 11 3 ,9 9 8 6 12 3 ,6 6 4 3 ,1 1 2 I 552

1 954 _____ 4 8 1 435 4 6 4 ,7 7 4 4 ,1 2 5 649 3 ,7 3 2 3 ,1 4 4 | 587

1 95 5 _____ 7 5 2 682 7 0 5 ,1 5 3 4 ,4 4 7 7 10 4 ,0 4 1 3 ,3 9 4 646

1956 _____ 7 5 2 682 6 9 5 ,4 9 5 4 ,7 2 4 770 4 ,3 2 3 3 ,6 1 8 | 705

1957 _____ 1 ,243 1, 127 116 6 ,2 9 5 5 ,4 1 8 877 5 ,0 7 7 4 ,2 6 8 809

1 95 8 _____ 9 6 4 870 9 3 6 ,7 9 9 5 ,8 3 8 96 1 5 ,5 2 0 4 ,6 3 0 890

1 959 _____ 958 8 6 4 9 4 7 ,2 9 0 6 ,2 4 5 1,045 5 ,9 2 9 4 ,9 5 8 | 97 1

1 9 6 0 --------- 1 , 156 1, 042 114 7 ,9 7 0 6 ,8 2 0 1, 149 6 ,4 9 6 5 ,4 2 3 | 1,072

196 1 _____ 1 ,390 1,250 139 8 ,8 6 1 7 ,5 8 2 1,279 7 ,2 3 4 6 ,0 3 6 1,198

1962 _____ 1 ,535 1,383 151 9 ,8 4 5 8 ,4 2 5 1,420 8 ,0 4 0 6 ,7 0 5 I 1,335

1 96 3 _____ 1 ,676 1,513 163 10,900 9 ,3 2 6 1,573 8 ,9 0 7 7 ,4 2 4 1,483

1964 _____ 1 ,006 909 9 7 11,209 9 ,5 4 9 1,659 9,021 7 ,4 5 7 1,564

1 96 5 _____ 2 ,3 3 5 2 , 1 18 217 12,775 1 0,908 1,867 10,4 02 8 ,6 3 8 | 1,764

1966 _____ 2 ,5 2 3 2 ,2 9 3 229 14,459 12,373 2 ,0 8 6 11,871 9 ,8 9 5 | 1,975

1967 _____ 2 , 7 10 2 ,4 7 0 240 16,252 13,937 2 ,3 1 5 13,414 11,218 | 2 , 196

1 9 6 8 . . . . 4,3 8 7 4 ,0 0 8 37 9 19,640 16,957 2 ,6 8 3 16,511 13,958 I 2 ,5 5 3

1969 _____ 4 ,1 1 8 3 ,7 8 3 334 2 2 ,6 7 5 19,669 3 ,0 0 5 19,150 16,286 | 2 ,8 6 4

1970 _____ 2 ,2 6 8 2 ,0 9 3 174 2 3 ,7 6 0 2 0 ,5 9 3 3,167 19,720 16,7 08 | 3 ,0 1 2

197 1 _____ 1 ,307 1,211 9 6 2 3 ,7 5 8 2 0 ,5 0 7 3,251 1 9,134 1 6,054 | 3 ,0 8 0

1 97 2 _____ 2 , 6 15 2 ,431 183 2 4 ,8 7 9 2 1 ,4 5 8 3 ,4 2 0 1 9,663 16,430 3 ,2 3 3

1 97 3 _____ 4 ,7 3 5 4 ,4 2 4 31 1 2 7 ,8 4 5 2 4 ,1 2 8 3 , 7 17 2 2 ,0 9 0 18,579 j 3 , 5 11

1 974 _____ 4 ,5 7 9 4 ,3 0 9

_________

2 7 0

_________

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

114

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 75. Auto repair and services: Historical dollars

(Millions of dollars)

G ross in v e s tm e n t G ro ss s to c k s N et s to c k s

i

T o t a l | E q u i p m e n t S t r u c t u r e s

1

T o t a l 1 

|

E q u i p m e n t S t r u c t u r e s T o ta l

______

E qu i p m e n t S t r u c t u r e s

1 9 4 7 . $129 I $95 $33

1

$ 1 ,6 6 8 | $ 1 ,3 41 $327 $ 1 , 2 8 5 $995 $290

1948 . 124 I 9 1 3 2 1,660 | 1,304 355 1,264 948 3 16

1949. 112 I 8 2 2 9 1,634 j 1,253 380 1,229 89 1 6 3 8

1950 .

I

194 | 143 5 0 1,684 | 1,258 426 1,278 898 380

1951. 239 j 176 6 2 1,777 | 1,294 483 1,376 94 1 434

1 9 5 2 . 203 I 150 5 2 1,835 | 1,306 529 1,440 962 477

1953 . 279 | 206 7 2 1,976 | 1,381 595 1,585 1 , 0 4 4 540

1954. 2 16 I 159 5 6 2 ,0 6 3 | 1 , 4 19 644 1,664 1, 077 586

1955.

I

378 | 279 9 8 2 ,3 1 6 I 1,5 8 1 735 1,900 1,225 674

1956 . 574 | 424 149 2 ,7 6 0 | 1,884 876 2 ,3 1 8 1,507 8 1 1

1957 . 536 I 396 139 3 ,1 5 7 | 2 , 150 1,006 2 ,6 8 0 1,741 938

1958. 4 7 1 I 348 122 3 ,4 7 6 | 2 ,3 5 6 1,119 2 ,9 5 5 1,907 1,048

1959. 674 I 493 175 3,9 8 6 | 2 ,7 0 1 1,285 3 ,4 1 2 2 ,2 0 2 1,209

1 9 6 0 . 669 I 494 174 4 ,4 7 5 | 3,0 2 6 1,449 3 ,8 3 2 2 ,4 6 2 1,369

196 1. 4 17 | 308 108 4 ,6 9 0 | 3 ,1 4 3 1,547 3 ,9 6 4 2 ,5 0 2 1,462

1962 . 889 | 657 23 1 5 ,3 4 5 | 3 ,5 7 7 1,767 4 ,5 4 0 2 ,8 6 2 1 /6 /7

1963. 378 I 279 9 8 5 , 4o4 | 3 ,5 9 9 1,855 4 ,5 6 6 2 ,8 0 8 1,757

1964. 1,705 | 1,261 443 6 ,8 5 5 | 4 ,5 6 8 2 ,2 8 7 5 ,8 9 9 3 , 7 16 2 , 182

1965. 1,001 | 740 260 7 ,5 2 6 | 4 ,9 8 9 2 ,5 3 6 6 ,4 7 9 4 ,0 5 6 2 ,4 2 2

1966 . 1,297 I 959 337 8 ,4 7 0 I 5 ,6 0 7 2 ,8 6 2 7 ,3 1 8 4 ,5 8 0 2 ,7 3 8

1 9 6 7 . 581 I 429 15 1 8 ,6 7 9 | 5 ,6 7 7 3 ,0 0 2 7 ,3 9 2 4 ,5 2 7 2 ,8 6 5

1968. 1,707 | 1,262 444 9,5 8 7 | 6 ,5 5 3 3 ,4 3 4 8 ,5 4 6 5 ,2 6 2 3 ,2 8 3

1969. 2 ,1 0 2 | 1,555 546 1 1,638 j 7 ,6 7 0 3 ,9 6 8 10,016 6 ,2 1 4 3 ,8 0 1

1970.

I

1 , C84 | 80 1 282 1 2,199 | 7 ,9 6 1 4 ,2 3 7 1 0,378 6 ,3 2 7 4 ,0 5 1

197 1. 2 ,1 9 4 j 1,623 570 13,792 I 8 ,9 9 8 4 ,7 9 4 11,797 7 ,2 1 1 4 ,5 8 5

197? . 1,965 I 1,453 511 15,096 | 9 ,8 0 5 5 ,2 9 0 12,907 7 ,8 4 9 5 ,0 5 7

1 9 7 3 . 2 ,5 8 0 | 1,908 67 1 16,962 | 11,016 5 ,9 4 6 1 4,548 8 ,8 6 4 5 ,6 3 4

1974. 2 , 6 5 8 I 

I

1,967 690 18,843 j

1

12,223 6 , 6 19 16, 165 9,841 6 ,3 2 4

Sector 75. Auto repair and services: Constant dollars

(Millions of 1972 dollars)

Y ear

G ro ss in v e s tm e n t

—

G ro ss s to c k s N et s to c k s

T o ta l E qu i p m e n t S t r u c t u r e s

1

T o ta l !

1

E q u i p m e n t S t r u c t u r e s

r

T o t a l | 

___ | _

E q u i p m e n t S t r u c t u r e s

1 9 4 7 . . $243 $170 $73 $ 4 ,7 3 0 | $ 3 ,3 4 4 $ 1 ,3 8 6

------------------------ r

$ 3 ,5 7 4 | $ 2 ,3 5 6 $ 1 ,2 1 7

1 9 4 8 . . 2 14 150 6 3 4 ,5 4 9 I 3 ,116 1,433 3 ,3 9 9 | 2 ,1 4 6 1,252

1 949.. 188 129 5 9 4 /3 4 7 | 2 ,8 7 4 1,473 3 ,2 1 4 j 1 , 9 3 3 1,280

1 9 5 0 . . 323 219 104 4 ,2 9 0 | 2 ,7 3 4 1,556 3, 184 | 1,834 1,350

1 9 5 1 . . 36 1 248 1 13 4 .2 8 2 | 2 ,6 3 6 1,645 3 ,2 1 3 | 1,784 1,428

1952. . 290 198 91 4 ,2 1 8 I 2,5 0 7 1,711 3 ,1 9 0 | 1,707 1,482

1953. . 4 16 289 127 4,'.C2 1 2 ,4 9 2 1,809 3 ,3 1 2 | 1,743 1,569

1954. . 312 2 10 102 4 , : 07 ; 2 ,4 2 7 1,-00 3 ,3 4 1 | 1 ,7 12 1,629

1955. . 557 379 177 4 ,5 7 6 | 2 ,5 5 2 2 ,0 2 3 3 ,6 1 9 | 1,856 1,763

1 9 5 6 . . 744 498 246 5 ,0 4 0 | 2 ,8 0 6 2 ,2 3 4 4 ,0 7 8 | 2 ,1 1 4 1, 964

1 9 5 7 . . 676 455 220 5 ,4 3 1 | 3 , 0 15 2 ,4 1 5 4 ,4 5 1 I 2 , 3 15 2 ,1 3 6

1 9 5 8 . . 604 405 198 5 ,7 4 3 I 3 ,1 6 9 2 ,5 7 3 4 ,7 3 6 I 2 ,4 5 1 2 ,2 8 5

1959. . 86 1 574 287 6 ,3 0 6 | 3 ,4 8 8 2 ,8 1 8 5 ,2 6 0 | 2 ,7 3 8 2 ,5 2 1

1 9 6 0 . . 852 565 287 6 ,8 4 8 | 3 ,7 8 7 3 ,0 6 0 5 ,7 4 5 | 2 ,9 8 8 2 ,7 5 6

1 96 1.. 530 35 1 179 7 ,0 4 8 | 3 ,8 5 5 3 ,1 9 3 5 ,8 7 4 | 2 ,9 9 3 2 ,8 8 1

1 9 6 2 .. 1,138 760 377 7 ,8 2 9 | 4 ,3 0 6 3 ,5 2 3 6 ,5 8 7 | 3 ,3 8 3 3 ,2 0 3

1963. . 48 1 324 157 7 ,9 2 2 I 4 ,2 8 9 3 ,6 3 2 6 ,6 0 5 I 3 ,3 0 1 3 ,3 0 4

1964. . 2 ,1 6 7 1,470 697 9,6 7 1 | 5 ,3 9 0 4 ,2 8 1 8 ,2 9 1 | 4 ,3 4 8 3 ,9 4 3

1965. . 1,267 869 398 10,498 | 5 ,8 6 7 4 ,6 3 0 9 ,0 2 5 | 4 ,7 4 4 4 ,2 8 1

1966. . 1 ,6 18 1,122 496 11,655 I 6 ,5 7 8 5 ,0 7 6 1 0,069 | 5 ,3 5 3 4 , 7 15

1 96 /. . 708 495 213 11,886 | 6 ,646 5 ,2 4 0 1 0,148 | 5 ,2 8 4 4 , 8 6 3

1 9 6 8 . . 2 ,0 0 0 1,402 598 13,379 | 7,591 5 ,7 8 8 11,465 | 6 ,0 6 9 5 ,3 9 5

196 9. . 2 ,3 6 3 1,687 676 1 5,175 | 8 ,7 6 1 6 , 4 14 13,055 | 7 ,0 5 4 6 ,0 0 1

1 9 7 0 . . 1,154 834 320 15,680 | 3 ,9 9 6 6 ,6 8 4

I

1 3,339 | 7 ,091 6 ,2 4 7

1 9 7 1 .. 2 ,2 2 6 1,625 60 1 17, 168 | 9,9 3 3 7 ,2 3 5 14,639 | 7 ,8 6 7 6 ,7 7 2

1972. . 1,965 1,453 5 11 18,324 I 10,629 7 ,6 9 5 15,599 | 8 ,3 9 8 7 ,2 0 1

1 9 7 3 . . 2 ,5 3 4 1,910 624 | 19,997 | 11,730 8 ,2 6 7 1 7,052 I 9 ,3 1 4 7 ,7 3 8

1974. . 2 ,3 6 0

________________

1,82 1 538

____________________

2 1 ,4 3 5 I

______________ L _

1 2,682 4 

__________________

8 ,7 5 2 18,239 |

______________ L _

1 0,056 8 , 182

115

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
Sector 76. Amusements: Historical dollars

(Millions of dollars)

Year

Gross investment Gross stocks Net stocks

I 1

Tota l | E q u i p m e n t | Structures Total

I

Equ i pment Structures I Total Equi pment Structures

1947 ____ $420 | $209 | $210 $1,893 $1,032 $860 $1,563 $821 $742

1 9 4 8 ____ 403 | 20 1 j 20 1 2,211 1,169 1,042 I 1,872 952 920

1 94 9 ____ 30 1 | 150 |

I

150 2,429 1,256 1, 172 I 2 ,074 1,028 1,045

1950 ---- 352 I 175 176 2,697 1,370 1,327 2,319 1, 123 1,196

1951____ 148 | 73 | 74 2,76 1 1,381 1,379 I 2,351 1,108 1,243

1952 ____ 185 I 92 | 92 2,855 1,407 1,448 I 2,410 1,102 1,307

1953____ 154 | 77 | 76 2,909 1,408 1,501 I 2,427 1,072 1,355

1954 ____ 266 | 133 | 132 3,06 1 1,453 1,608 I 2,548 1,090 1,458

1955 ____ 4 C 1 | 200 I 200 3,335 1,552 1,783 I 2 ,798 1,168 1,629

1956 ____ 657 | 328 | 328 3,853 1,768 2,085 I 3,297 1,370 1,926

1957 ____ 553 I 276 | 276 4,259 1 , 924 2,335 3,685 1,514 2,17 1

1958 ---- 590 | 295 | 294 4,699 2,096 2,602 I 4,105 1,672 2,432

1959____ 767 | 383 | 383 5,3 16 2,356 2,959 4,693 1,912 2,780

I 960 ____ 867 | 433 | 433 6,032 2,665 3,367 I 5,368 2, 190 3,177

196 1____ 765 | 382 | 382 6,644 2,920 3,723 I 5,920 2,398 3,521

1 9 6 d ____ 935 I 467 467 7,4 18 3,252 4, 166 I 6,618 2,671 3,947

1 963 ____ 934 | 467 | 466 8,173 3,570 4,607 I 7,287 2,9 19 4,368

196“+ ____ 1,033 | 5 16 | 516 9,0 17 3,920 5,097 I 8 ,023 3, 139 4,834

1965 ____ 1,116 | 552 563 9,9 16 4,284 5,632 8,809 3,465 5,343

1 966 ____ 1,286 | 636 I 649 10,957 4,704 6,253 I 9,728 3,796 5,932

1 967 ____ 9 11 | 450 | 460 1 1,593 4,911 6,682 I 10,235 3,909 6,326

1968 ____ 1,133 | 560 | 572 12,420 5,198 7,222 I 10,931 4,106 6,825

196 9 ____ 1/701 | 842 | 858 13,784 5,738 8,046 I 12,161 4,558 7,603

1970 ____ 2,068 | 1,023 | 1,044 15,483 6,420 9,052 13,716 5, 158 8,557

197 1____ 947 | 468 i 478 16,028 6,538 9,489 I 14,100 5, 166 8,934

1972 ____ 1,632 | 807 824 17,225 6,957 10,267 I 15,136 5,490 9,645

1973____ 2,318 | 1,147 | 1,170 19,076 7,691 11,385 I 16,814 6, 122 10,691

1974____ 2,388 |

__________ L—

1,182 | 1,205 20,963

_______

8,433 12,530 I 18,503 6,747 1 1,756

__________

Sector 76. Amusements: Constant dollars

(Millions of 1972 dollars)

Y ear

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

T o ta l I

I

E q u i p m e n t S t r u c t u r e s

i

T o ta l | E q u i p m e n t S t r u c t u r e s T o ta l Equ i p m e n t S t r u c t u r e s

1 94 7 _____

I

$ 797 | $349 $448 $ 5 ,3 3 5 I $ 2 ,3 0 5 $ 3 ,0 2 9 $ 4 ,2 6 8 $ 1 ,7 5 7 $ 2 ,5 11

1948. .. . 702 I 320 381 5 ,7 7 5 I 2 ,4 5 3 3,3 2 1 4 ,7 0 4 1,909 2 ,7 9 5

1 94 9 _____ 5 22 | 236 286 6 ,0 3 9 | 2 ,5 2 3 3 ,5 1 5 4 ,9 5 6 1,975 2 ,9 8 0

1950 --------- 6 33 | 268 364 6 ,4 2 0 | 2 ,6 3 4 3 ,7 8 5 5 ,3 1 1 2 ,0 6 9 3 ,2 4 2

195 1 _____ 2 38 | 103 134 6 ,4 0 8 | 2 ,5 3 5 3 ,8 2 2 5 ,2 6 0 1,989 3 ,2 7 1

1 95 2 _____ 2 90 | 130 159 6 ,4 4 1 | 2 ,5 6 0 3 ,8 8 1 5 ,2 5 0 1,926 3 ,3 2 4

1 95 3 --------- 2 42 | 110 132 6 ,4 1 3 | 2 ,5 0 2 3,911 5, 182 1,832 3 ,3 4 9

1954 _____ 4 22 I 184 238 6 ,5 4 9 | 2 ,5 0 3 4 ,0 4 5 5 ,2 8 6 1,806 3 ,4 7 9

1955. .. . 647 | 276 370 6 ,8 9 2 | 2 ,5 8 1 4 ,3 1 0 5 , 6 11 1,868 3 ,7 4 2

1956. .. . 977 I 426 550 7 ,5 5 0 I 2 ,7 9 6 4 ,7 5 4 6 ,2 6 3 2 ,0 7 8 4, 184

1 9 5 7 . . . . 7 8 1 | 343 437 8 ,0 0 7 | 2 ,9 2 2 5 ,0 8 4 6 , 7 16 2 ,2 0 4 4 ,5 1 2

1 958 _____ 8 37 I 366 47 1 8 ,5 2 1 | 3,071 5 ,4 4 9 7 ,2 2 7 2 ,3 5 2 4 ,8 7 4

1 95 9 _____ 1 ,089 | 472 6 16 9 ,2 9 2 | 3 ,3 3 2 5 ,9 6 0 7 ,9 8 6 2 ,6 0 6 5 ,3 8 0

1960 _____ 1 ,240 | 530 7 10 10,222 I 3 ,6 5 5 6 ,5 6 6 8 ,8 8 6 2 ,9 0 7 5 ,9 7 9

196 1 _____ 1 ,093 I 469 623 11,008 I 3 ,9 2 0 7 ,0 8 8 9 , 6 19 3, 130 6 ,4 8 9

1 962 _____ 1 ,321 | 577 744 12,021 | 4 ,2 8 7 7 ,7 3 3 10,558 3 ,440 7 , 1 18

1963 _____ 1 ,303 | 575 727 13,005 I 4 ,6 4 2 8 ,3 6 3 11,446 3,7 2 1 7 ,7 2 5

1 964 _____ 1 ,425 I 629 795 1 4,094 [ 5 ,0 3 3 9 ,060 1 2,422 4 ,0 2 6 8 ,3 9 5

1965 _____ 1 ,518 | 673 844 15,252 | 5 ,4 4 4 9 ,807 13,452 4 ,3 4 3 9 ,1 0 9

1966 . . . . 1,704 | 767 937 16,567 | 5,921 10,645 14,628 4 ,7 2 0 9 ,907

1967 . . . . 1,167 | 530 636 17,312 I 6 ,1 3 0 11,182 1 5,223 4 ,8 2 4 1 0,398

1968 . . . . 1,395 | 639 756 1 8,252 I 6 ,4 1 4 11,838 16,009 5 ,0 0 8 11,000

1 9 6 9 _____ 1 ,991 | 929 1,061 19,754 | 6 ,9 5 5 12,798 17,351 5 ,4 5 3 11,897

1970 . . . . 2 ,2 7 0 I 1,087 1, 182 2 1 ,5 0 0 | 7 ,6 2 2 13,877 18,924 6 ,021 12,903

197 1 _____ 9 83 | 477 506 2 1 ,9 2 2 I 7 ,6 4 5 14,276 19, 157 5 ,9 3 9 13,217

1 97 2 _____ 1 ,632 I 807 824 2 2 ,9 5 4 | 7 ,9 6 7 14,986 2 0 ,0 0 3 6, 167 13,835

1 9 7 3 _____ 2 ,2 2 1 I 1,121 1,100 2 4 ,5 3 9 | 3 ,5 7 5 15,964 2 1 ,3 9 4 6 ,6 8 2 14,712

1 97 4 _____ 2 ,0 0 5 |

_____ l

1 ,070 935 2 5 , 8 7 1 | 

1

9 ,1 0 4 16,766

______

2 2 ,5 1 3 7 ,1 0 8 1 5,404

116

Digitized for FRASER 

http://fraser.stlouisfed.org/ 

Federal Reserve Bank of St. Louis
> r 77. Medical and educational services, nonprofit organizations: Historical dollars

(Millions of dollars)

Y ea r

G ro ss in v e s tm e n t G ro ss s to c k s N et s to c k s

I

T o ta l I

1

E q u i p m e n t S t r u c t u r e s T o ta l E q u i p m e n t S t r u c t u r e s I T o t a l E q u i p m e n t S t r u c t u r e s

1 9 4 7 . . $ 6 3 1 | $205 $425 $ 7 ,4 50 $ 1 ,3 26 $ 6 ,1 2 4 I $ 6 , 5 1 3 I $997 $ 5 ,5 16

1 9 4 8 . . 996 I 324 67 1 8 ,2 8 3 1,531 6 ,751 I 7 , 3 1 0 I 1,205 6 ,1 0 4

1949. . 1/313 | 427 835 9,431 1,844 7 ,5 8 7 I 8 , 4 1 3 | 1,512 6,9 0 1

1 9 5 0 . . 1,654 | 558 1,115 10,921 2 ,2 7 2 8 ,6 4 8 9 ,8 3 8 | 1,917 7 , 9 2 0

1 951.. 1,921 I 625 1,295 12,674 2 ,7 8 9 9 ,8 8 4 11,500 | 2 ,3 8 9 9,111

1952. . 1,807 I 588 1 , 2 13 14,303 3 ,2 6 5 1 t , 0 3 8 I 1 3 , 0 0 9 | 2 ,7 9 2 10,217

1 9 5 3 . . 1,919 j 625 1,293 16,025 3 ,7 6 5 12,260 I 1 4 , 5 8 4 | 3 ,1 9 5 11,339

1 9 5 4 . . 2 /3 0 4 j 750 1,553 18,104 4 ,3 6 7 13,737 I 1 6 , 4 9 0 | 3 ,6 7 7 12,812

1955. . 2 ,4 9 1 | 8 1 1 1,679 2 0 ,3 31 4 ,9 9 8 15,333 1 3,519 | 4 , 166 14,353

1 9 5 6 . . 2 ,5 7 7 1 839 1,737 2 2 ,5 9 4 5 , 6 13 16,981 j 2 0 , 5 6 7 | 4 ,6 2 5 15,942

1 9 5 7 . . 3 ,0 2 9 | 936 2 ,0 4 2 2 5 ,2 5 2 6 ,3 2 3 18,928 I 2 2 , 9 9 3 I 5 ,1 7 1 17,326

1958. . 3 ,3 2 4 | 1, 083 2,240 2 8 , 145 7 ,0 7 6 2 1 ,0 6 9 I 2 5 , 6 5 1 I 5 ,7 5 2 19,898

1 95 9.. 3,4 4 1 | 1,121 2 , 3 19 3 1 ,0 9 4 7 ,8 1 0 2 3 ,2 8 3 j 2 8 , 3 4 7 | 6 ,3 0 7 2 2 ,0 3 9

1 9 5 0 . . 3 ,7 9 5 I 1,236 2 ,5 5 8 3 4 ,3 3 3 8 ,6 0 1 2 5 ,7 31 3 1 ,3 2 0 | 6 ,9 1 3 2 4 ,4 0 7

1961.. 4 ,2 6 7 | 1,390 2 ,876 3 7 ,9 7 9 9,486 2 8 ,4 9 2 3 4 ,6 8 4 I 7 ,6 0 4 2 7 ,0 8 0

1 962.. 4 ,9 7 4 | 1,620 3 ,353 4 2 ,2 6 5 10,538 3 1 ,7 26 3 8 ,6 6 8 | 8 ,4 5 0 30,2 17

1 96 3.. 5 ,1 3 8 | 1,674 3 ,4 6 3 4 6 ,6 4 4 1 1 , 5 7 8 3 5 ,0 6 5 j 4 2 , 7 1 8 j 9,2 7 0 3 3 ,4 48

1 9 6 4 .. 5 ,7 7 2 I 2 , 0 16 3 ,7 5 5 5 1 ,5 8 2 12,890 3 8 ,6 9 2 I 4 7 , 3 0 0 | 1 0,345 3 6 ,9 5 4

1 96 5.. 6 ,2 7 9 I 2 ,3 3 9 3,939 5 6 ,9 4 9 14,452 4 2 ,4 9 7 I 5 2 , 2 7 2 | 1 1 , 6 4 5 4 0 ,6 2 6

1 9 6 6 . . 6 ,8 0 1 I 2 ,4 4 6 4 ,3 5 4 6 2 ,7 5 5 16,042 4 6 ,7 1 2 | 5 7 , 6 3 2 | 12,939 4 4 ,6 9 2

1 9 6 7 . . 7 ,3 3 8 | 3 ,0 7 3 4 ,2 6 4 69,0 06 18,174 5 0 ,8 31 I 6 3 , 3 8 3 | 14,736 4 8 ,6 4 6

1968. . 7 ,7 3 9 I 3,241 4 ,4 9 7 7 5 ,5 5 6 2 0 ,3 7 7 5 5, 178 I 6 9 , 3 6 0 | 16,550 5 2 ,8 0 9

1 9 6 9 . . 8 ,6 1 8 | 3 , 6 10 5,0 0 7 8 2 86 9 2 2 ,3 3 9 6 0 ,0 2 9 I 7 6 , 0 1 9 | 18,563 5 7 ,4 56

1 9 7 0 . . 8 ,9 0 4 | 3 ,7 2 9 5, 174 9 0 ,3 33 ’ 5 ,2 9 3 6 5 .0 4 0 I 8 2 , 7 4 1 | 2 0 ,5 01 6 2 ,2 40

1 971.. 9 ,5 1 2 | 3 ,9 3 4 5,5 2 7 9 S , « . SC 2 7 ,8 5 3 70, '96 I 8 9 , 3 2 7 | 2 2 ,4 3 4 6 7 ,3 4 3

1 9 7 2 . . 10,261 | 4 , 2 9 8 5 ,9 6 2 1 0 6 , 7 o 3 5 0 ,5 5 5 7 6 ,1 7 7 I 9 7 , 3 9 5 | 2 4 ,5 5 0 7 2 ,8 4 4

1 9 7 3 . . 9 ,3 8 8 | 4 ,1 4 2 5 ,7 4 5 114,634 3 2 ,9 0 3 8 1 ,7 3 0 I 1 0 4 , 3 0 0 | 2 6 ,2 1 2 7 8 ,0 8 8

1 97 4.. 9 ,8 3 9 |

I

4 ,1 2 2

_

5 , 7 16 122,249 3 5 ,0 0 8 8 7 ,2 4 0 I 1 1 0 , 8 6 7 |

J____________ L

2 7 ,6 0 3 8 3 ,2 5 8

Sector 77. Medical and educational services, nonprofit organizations: Constant dollars

(Millions of 1972 dollars)

—

G ro ss in v e s tm e n t

—

G ro ss s to c k s N at s to c k s

T o t a l E q u i p m e n t S t r u c t u r e s

r

T o ta l I

I

E qu i p m e n t S t r u c t u r e s

I

T o ta l E q u i p m e n t S t r u c t u r e s

1947 _____ $1,2 91 $342 $949 $ 3 1 ,5 6 2 I $ 2 ,8 3 3 $ 2 3 ,7 2 9 $ 2 7 ,2 3 6 I $ 2 ,0 5 6 $ 2 5 , 180

1 94 8 _____ 1,855 509 1,345 3 2 ,8 1 5 | 3 ,0 5 9 2 9 ,7 56 2 8 ,3 6 1 | 2 ,3 0 2 2 6 ,0 5 9

1949 _____ 2 ,4 7 6 658 1 , 8 17 3 4 /6 8 0 | 3 ,4 4 4 3 1,2 36 3 0 ,0 8 6 | 2 ,6 9 8 2 7 ,3 8 8

1950. .. . 3, 137 8 14 2 ,3 2 3 3 7 ,2 0 2 I 4 ,0 0 0 3 3,201 3 2 ,4 3 9 | 3 , 2 4 0 2 9 ,1 9 8

1951 . . . . 3,251 874 2,3 7 6 3 9 ,8 2 5 | 4 ,6 2 7 3 5 ,1 9 8 3 4 ,8 5 5 I 3 , 8 19 3 1 ,0 36

1952. .. . 2 ,9 9 0 814 2, 175 4 2 ,1 6 4 | 5 ,1 9 4 3 6 ,9 70 3 6 ,9 4 8 | 4 ,2 9 9 3 2 ,6 48

1953 . . . . 3, 169 868 2 ,3 0 1 4 4 ,6 4 4 I 5 ,8 0 0 3 8 ,8 4 3 3 9 ,1 4 8 I 4 ,7 8 6 3 4 ,3 61

1 95 4 _____ 3,8 5 6 1,011 2 ,8 4 4 4 7 ,7 5 9 I 6 ,5 2 3 4 1 ,2 5 6 4 1 ,9 5 2 1 5 ,3 6 0 3 6 ,5 9 2

1955 _____ 4,131 1,095 3,036 5 1 ,0 8 4 | 7 ,2 8 8 4 3 ,7 9 5 4 4 ,9 4 0 I 5 ,9 4 9 3 8 ,9 9 0

1956 . . . . 3 ,9 4 7 1,061 2 ,3 8 5 5 4 ,1 4 3 I 7 ,9 6 5 4 6, 178 4 7 ,6 4 6 I 6 ,4 3 2 4 1 ,2 1 3

1957 . . . . 4 ,4 5 4 1, 197 3,2 5 7 5 7 ,6 2 2 I 8 , 7 12 4 8 ,9 1 0 5 0 ,7 6 6 I 6 ,981 4 3 ,7 8 5

1 9 5 8 . . . . 4 ,9 7 7 1,305 3 ,6 7 2 6 1 ,5 3 7 | 9,500 5 2 ,0 36 5 4 ,3 1 7 I 7 ,5 6 8 4 6 ,7 4 9

1 95 9 _____ 5 ,1 6 5 1,331 3 ,8 3 3 6 5 ,5 51 | 10,246 5 5 ,3 0 4 5 7 ,9 6 0 | 8 ,1 0 9 4 9,8 51

1960 . . . . 5 ,7 0 2 1,452 4 ,2 4 9 7 0 ,0 1 3 | 1 1,043 5 8 ,9 7 0 6 2 ,0 4 7 | 8 ,7 0 1 5 3 ,3 4 6

1 9 6 1 . . . . 6 ,4 0 5 1,628 4,7 7 7 7 5 ,0 9 0 I 11,945 6 3 ,1 4 5 6 6 ,7 4 3 | 9 ,3 9 8 5 7 ,3 4 5

1962 _____ 7 ,3 9 6 1,890 5,5 0 6 8 1 ,0 7 0 j 13,039 6 3 ,0 3 0 7 2 ,3 2 9 j 10,282 6 2 ,0 46

1 9 6 3 --------- 7 ,5 2 8 1 , 9 4 2 5,586 8 7 ,0 9 6 | 14,116 7 2 ,9 8 0 7 7 ,9 3 6 I 11,135 6 6 ,8 00

1964 _____ 8 ,2 5 9 2 ,3 1 7 5 ,9 4 2 9 3 ,7 6 8 | 15,497 7 8 ,2 7 0 8 4 ,1 6 1 | 12,279 7 1 , 8 8 2

1 965 _____ 8 ,7 6 5 2 ,6 8 5 6 ,0 7 9 100,856 | 17, 174 8 3 ,6 3 2 9 0 ,7 61 | 13,690 7 7 ,0 71

1966 _____ 9,211 2 ,7 7 0 6,441 108,297 | 18,857 8 9 ,4 4 0 9 7 ,6 5 9 | 15,068 8 2 ,5 9 0

1 9 6 7 _____ 9,466 3 ,4 2 6 6,0 4 0 1 15,892 I 2 1 ,1 10 9 4,781 1 04,648 | 1 6,972 8 7 ,6 7 6

1 9 6 8 . . . . 9 ,6 2 4 3 ,5 3 3 6,0 8 5 1 23,533 I 2 3 ,3 78 100,155 1 1 1 , 6 0 2 I 18,828 9 2 ,7 73

1969 _____ 10,070 3 ,8 6 5 6 ,2 0 5 1 31,494 | 2 5 ,8 57 105,636 118,786 | 2 0 ,8 3 3 9 7 ,9 5 3

1970 . . . . 9 ,7 5 9 3 ,8 7 2 5,8 3 6 138,994 I 2 8 ,2 0 8 110,785 1 25,419 | 2 2 ,6 4 3 102,775

1 9 7 1 . . . . 9,857 4 ,0 2 0 5,8 3 6 146,418 | 30,5 50 115,868 1 31,892 | 2 4 ,3 8 6 107,506

1972. .. . 10,261 4 ,2 9 8 5 ,9 6 2 154,046 I 32,9 86 121,060 1 38,493 I 2 6 ,1 7 7 112,316

1973. .. . 9 ,4 15 4 ,0 8 5 5 ,3 2 9 160,600 | 3 4 ,9 9 9 125,600 143,960 | 2 7 ,5 1 5 1 1 6 , 4 4 5

1 974 _____ 8 ,2 4 8 3 ,7 9 2 4 ,4 5 5 165,733 I

_______L

3 6 ,4 8 9 129,244 1 4 7 , 9 7 8 I 

________________ 1

2 8 ,3 31 119,647

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Appendix D. Data Series and

Level of Detail Available

Data Series

The following data series are available from the capital 

stock data base. Each series is available separately for plant 

and equipment both in historical dollars and constant 

dollars. Unless otherwise noted, these data are available 

annually for the period 1947—74.

Gross investment

Gross investment is the total annual expenditure by an 

industry for depreciable fixed capital goods valued at 

original cost. Data are available for plant assets from 1890 

to 1974 and for equipment assets from 1921 to 1974.

Replacement investment

This series represents discards of worn-out assets and loss 

of efficiency of the capital stock for each year.

Net investment

Net investment is the difference between gross investment and replacement investment. It represents the net 

addition or decline in the net stocks from the previous year.

Gross stocks

Gross stocks represent capital assets on hand adjusted 

for discards of worn-out assets.

Net stocks

Net stocks represent the value of capital assets adjusted 

both for discards of worn-out assets and loss of efficiency 

in production.

Vintage distributions

The vintage distributions relate the value of gross or net 

stocks for a given year to the purchase date of the assets 

making up the total stock value. Each value in this series 

represents the percent of the total stock value which was 

purchased in that year. Eight vintage distributions are 

available, four each for gross and net stocks for the years 

1974, 1969, 1964, and 1959.

Gross discards

Gross discards represent the value of stocks which are 

discarded because they have reached the end of their useful 

service lives.

Investment net of discards

Investment net of discards is gross investment minus 

gross discards. It represents that portion of gross investment 

not used to replace assets which are discarded.

Service lives

The service lives series represents the assumed useful 

productive life of the plant and equipment assets making up 

the gross investment bundle. This series is currently 

assumed to be constant and corresponds in number and 

position to the asset-weight series described below.

Asset weights

This series represents the constant distribution of the 

different plant and equipment types making up the gross 

investment bundle. Each value is the portion of gross 

investment used to purchase a particular type of plant or 

equipment item.

Investment deflators

This series is used to convert the historical-dollar gross 

investment series to constant (1972=100) dollars.

Replacement functions

Two replacement functions—discard and decay—are 

available which relate the portion of investment remaining 

in production N years after its original purchase date. The 

discard function relates to the portion of assets not 

discarded and the decay function relates to the portion of 

assets not discarded or decayed (not depreciated).

Level of Detail

Most of the above data series are available for the four 

levels of detail given below as well as for each of the level 2 

(I/O) industries presented in appendix C.

Level Content

1 3- and 4-digit SIC and nonmanufacturing

sectors

3 2-digit SIC

4 1 -digit sectors

5 sector totals

Industries at levels 1,3, and 4 are numbered according to 

SIC conventions. Where exceptions to the SIC code exist,

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an X is inserted in the industry number to denote the 253 Public building and related furniture

exception. For example, 44X1 denotes an industry which is 254 Partitions and fixtures

in SIC 44 but is composed of several three-digit industries 259 Miscellaneous furniture and fixtures

in SIC 44. 261 Pulp mills

Eighty data series are available for each industry at level 262 Paper mills, except building paper

1. At all other levels, 64 series are available. 263 Paperboard mills

264 Miscellaneous converted paper products

Level 1—manufacturing industries 265 Paperboard containers and boxes

201 Meat products 266 Building paper and board mills

202 Dairy products

203 Preserved fruits and vegetables 271 Newspapers

204 Grain mill products 272 Periodicals

205 Bakery products 273 Books

206 Sugar and confectionery products 274 Miscellaneous publishing

207 Fats and oils 275 Commercial printing

208 Beverages 276 Manifold business forms

208X Alcoholic beverages 277 Greeting card publishing

(includes 2082-5) 278 Blankbooks and bookbinding

209 Miscellaneous foods and kindred products 279 Printing trade services

211 Cigarettes 281 Industrial inorganic chemicals

212 Cigars 281X Aluminum oxide (SIC 28195)

213 Chewing and smoking tobacco

214 Tobacco stemming and redrying 282 Plastics materials and synthetics

2821 Plastics materials and resins

221 Weaving mills, cotton 2822 Synthetic rubber

222 Weaving mills, synthetic

223 Weaving and finishing mills, wool 283 Drugs

224 Narrow fabric mills 284 Soap, cleaners, and toilet goods

225 Knitting mills 2844 Toilet preparations

226 Textile finishing, except wool 285 Paints and allied products

227 Floor covering mills 286 Industrial organic chemicals

228 Yarn and thread mills 287 Agricultural chemicals

229 Miscellaneous textile goods 289 Miscellaneous chemical products

231 Men’s and boys’ suits and coats 291 Petroleum refining

232 Men’s and boys’ furnishings 295 Paving and roofing materials

233 Women’s and misses’ outerwear 299 Miscellaneous petroleum and coal products

234 Women’s and children’s undergarments

235 Hats, caps, and millinery 301 Tires and inner tubes

236 Children’s outerwear 302 Rubber and plastics footwear

237 Fur goods 303 Reclaimed rubber

238 Miscellaneous apparel and accessories 304 Rubber and plastics hose and belting

239 Miscellaneous fabricated textile products 306 Fabricated rubber products, nec

307 Miscellaneous plastics products

241 Logging camps and logging contractors

242 Sawmills and planing mills 311 Leather tanning and finishing

243 Millwork, plywood, and structural members 313 Boot and shoe cut stock and findings

244 Wood containers 314 Footwear, except rubber

2448 Wood pallets and skids 315 Leather gloves and mittens

245 Wood buildings and mobile homes 316 Luggage

2451 Mobile homes 317 Handbags and personal leather goods

2452 Prefabricated wood buildings 319 Leather goods, nec

249 Miscellaneous wood products

321 Flat glass

251 Household furniture 322 Glass and glassware, pressed or blown

252 Office furniture 3221 Glass containers

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323 Products of purchased glass

324 Cement, hydraulic

325 Structural clay products

326 Pottery and related products

327 Concrete, gypsum, and plaster products

328 Cut stone and stone products

329 Miscellaneous nonmetallic mineral products

331 Blast furnace and basic steel products

332 Iron and steel foundries

333 Primary nonferrous metals 

3331 Primary copper

3333 Primary zinc

3334 Primary aluminum

334 Secondary nonferrous metals

335 Nonferrous rolling and drawing

336 Nonferrous foundries

3361 Aluminum foundries

3362 Brass, bronze, and copper foundries 

339 Miscellaneous primary metal products

341 Metal cans and shipping containers

342 Cutlery, hand tools, and hardware

343 Plumbing and heating, except electric

344 Fabricated structural metal products

345 Screw machine products, bolts, etc.

346 Metal forgings and stampings

3462 Iron and steel forgings

3463 Nonferrous forgings

347 Metal services, nec

348 Ordnance and accessories, nec 

348X Small arms and ammunition

(includes 3482-3)

349 Miscellaneous fabricated metal products

351 Engines and turbines

352 Farm and garden machinery 

3523 Farm machinery and equipment

353 Construction and related machinery 

3531 Construction machinery

(includes 3531-3)

3534 Elevators and moving stairways 

(includes 3534-7)

354 Metalworking machinery

355 Special industry machinery

356 General industrial machinery 

356X Pumps and air compressors

(includes 3561 and 3563)

3562 Ball and roller bearings

357 Office and computing machines

357X Computing, calculating, and accounting machines 

(includes 3573-4)

358 Refrigeration and service machinery 

3585 Refrigeration and heating equipment

359 Miscellaneous machinery, except electrical

361 Electric distributing equipment

362 Electric industrial apparatus

363 Household appliances

364 Electric lighting and wiring equipment

365 Radio and TV receiving equipment 

3651 Radio and TV receiving sets

366 Communication equipment

3661 Telephone and telegraph apparatus

367 Electronic components and accessories

369 Miscellaneous electrical equipment and supplies

3694 Engine electrical equipment

371 Motor vehicles and equipment 

37IX Trucks, buses, and truck trailers

(includes 3713 and 3715)

372 Aircraft and parts

372X Aircraft engines, spare propulsion units, and parts 

(includes 3724 and 3764)

3721 Aircraft

373 Ship and boat building and repairing 

3731 Ship building and repairing

374 Railroad equipment

375 Motorcycles, bicycles, and parts

376 Guided missiles, space vehicles, parts 

3761 Guided missiles and space vehicles

379 Miscellaneous transportation equipment 

3795 Tanks and tank components

381 Engineering and scientific instruments

382 Measuring and controlling devices 

3825 Instruments to measure electricity

383 Optical instruments and lenses 

383X Sighting and fire control equipment

(includes 38322-38323)

384 Medical instruments and supplies

385 Ophthalmic goods

386 Photographic equipment and supplies

387 Watches, clocks, and watchcases

391 Jewelry, silverware, and plated ware

393 Musical instruments

394 Toys and sporting goods

395 Pens, pencils, office and art supplies

396 Costume jewelry and notions 

399 Miscellaneous manufactures 

399X Dressed and dyed furs

Level 1—nonmanufacturing industries

0X10 Agriculture 

1X10 Coalmining

1X20 Stone and clay mining and quarrying 

1X30 New and repair construction 

10X1 Iron and ferroalloy ores mining

10X2 Nonferrous metal ores mining 

13X1 Crude petroleum and natural gas 

1470 Chemical and fertilizer minerals 

4X10 Railroads 

4X20 Commercial trucking

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4X30 Transportation services 

41X1 Local bus transportation 

4121 Taxicabs

4130 Intercity highway transportation 

44X1 Water transportation 

45X1 Domestic air transportation 

45X2 International air transportation 

4610 Pipelines, except natural gas 

48X1 Communications except broadcasting 

48X2 Radio and TV broadcasting

49X1 Water utilities 

49X2 Gas utilities 

49X3 Electric utilities 

5X10 Retail trade 

5X20 Wholesale trade

6X10 Finance and insurance

6X20 Real estate and rentals

7X10 Hotels and repair places except auto repair

7X20 Amusements

7500 Auto repair, services, and garages

8X10 Health, education, and social services; 

nonprofit organizations

X I00 Business services; research and development

Level 3—manufacturing industries

20 Food and kindred products

21 Tobacco manufactures

22 Textile mill products

23 Apparel and other textile products

24 Lumber and wood products

25 Furniture and fixtures

26 Paper and allied products

27 Printing and publishing

28 Chemicals and allied products

29 Petroleum and coal products

30 Rubber and miscellaneous plastics products

31 Leather and leather products

32 Stone, clay, and glass products

33 Primary metal industries

34 Fabricated metal products

35 Machinery, except electrical

36 Electric and electronic equipment

37 Transportation equipment

38 Instruments and related products

39 Miscellaneous manufacturing industries

Level 3—nonmanufacturing industries

XI00 Agriculture 

X200 Mining

X300 New and repair construction 

X400 Transportation 

X510 Communications

X520 Public utilities 

X600 Wholesale and retail trade 

X710 Finance, insurance, and real estate 

X720 Services

Level 4—manufacturing industries

X010 Durable goods manufacturing 

X020 Nondurable goods manufacturing

Level 4—nonmanufacturing industries

XI00 Agriculture 

X200 Mining

X300 New and repair construction

X400 Transportation

X500 Communications and public utilities

X600 Wholesale and retail trade

X700 Finance, insurance, real estate, and services

Level 5

TMAN Total manufacturing

NMAN Total nonmanufacturing excluding agriculture 

TAGR Total agriculture

Data Requests

The capital stock data described in this bulletin are 

maintained and disbursed by the BLS Office of Economic 

Growth. The data are stored on a direct access device 

utilizing the TOTAL Data Base Management System which 

is integrated into a comprehensive set of computer programs to calculate the stocks and perform updating and 

extraction activities on the data base. Data requests may be 

made directly to the Office of Economic Growth using the 

request form provided at the end of this bulletin or by 

telephone (202-523-9036). Each request is treated individually and a specific job is run to extract only the data series 

required. Data are available in a printed form, on computer 

tape, or on punched cards. In addition, the data may be 

provided as a straight listing of each data series or in a 

tabular form which displays related series in a more 

readable manner. Examples of the various standard output 

forms may be obtained from the Office of Economic 

Growth.

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Appendix E. Aggregation

Scheme

This appendix presents the aggregation scheme used to 

construct three aggregate industry levels of detail in the 

capital stock data base. It illustrates the allocation of the 

most detailed industry to the higher level aggregations in 

which the industry is included. Input-output industries 

enclosed in parentheses denote those cases where the level 1 

industry is subtracted from the input-output industry when 

computing the aggregate. For example, SIC 281X is added 

to I/O sector 38 and is subtracted from I/O sector 27 to

which the remaining portion of SIC 281 is allocated.

Level 5 industries are not shown in this appendix but are 

derived by aggregating level 4 industries. Total manufacturing (TMAN) is derived from the two level 4 manufacturing 

industries (X010 and X020). Total nonmanufacturing 

excluding agriculture (NMAN) is an aggregation of the six 

nonagricultural industries (X200-X700) in this sector. Total 

agriculture (TAGR) is developed from the one agriculture 

industry available at all other levels of detail.

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Table E-1. Aggregation scheme

Level 1 (basic industry)

Aggregations

Level 1 (basic industry)

Aggregations

Level 2 Level 3 Level 4 Level 2 Level 3 Level 4

Manufacturing: 2822 ......................................

283 ........................................ 29 28 X 020

2 0 1 ................................... 14 20 X 020 284 ........................................ 29 28 X 020

202 ........................................ 14 20 X 020 2844 ..................................... — — —

203 ........................................ 14 20 X 020 285 ........................................ 30 28 X 020

204 ........................................ 14 20 X 020 286 ........................................ 27 28 X 020

205 ........................................ 14 20 X 020 287 ........................................ 27 28 X 020

206 ........................................ 14 20 X 020 289 ........................................ 27 28 X 020

207 ........................................ 14 20 X 020

208 ........................................ 14 20 X 020 2 9 1 ........................................ 31 29 X 020

208 X ...................................... — — — 295 ........................................ 31 29 X 020

209 ........................................ 14 20 X 020 299 ........................................ 31 29 X 020

2 1 1 ........................................ 15 21 X 020 3 0 1 ........................................ 32 30 X 010

2 1 2 ........................................ 15 21 X 020 302 ........................................ 32 30 X 010

2 1 3 ........................................ 15 21 X 020 303 ........................................ 32 30 X 010

2 1 4 ........................................ 15 21 X 020 304 ........................................ 32 30 X 010

306 ........................................ 32 30 X 010

2 2 1 ........................................ 16 22 X 020 307 ........................................ 32 30 X 010

222 ........................................ 16 22 X 020

223 ........................................ 16 22 X 020 3 1 1 ........................................ 33 31 X 020

224 ........................................ 16 22 X 020 3 1 3 ........................................ 34 31 X 020

225 ........................................ 18 22 X 020 3 1 4 ........................................ 34 31 X 020

226 ........................................ 16 22 X 020 3 1 5 ........................................ 34 31 X020

227 ........................................ 17 22 X 020 3 1 6 ........................................ 34 31 X 020

228 ........................................ 16 22 X 020 3 1 7 ........................................ 34 31 X 020

229 ........................................ 17 22 X 020 3 1 9 ........................................ 34 31 X 020

2 3 1 ............., ........................ 18 23 X 020 3 2 1 ........................................ 35 32 X 010

232 ........................................ 18 23 X 020 322 ........................................ 35 32 X 010

233 ........................................ 18 23 X 020 3221 ...................................... — — —

234 ........................................ 18 23 X 020 323 ........................................ 35 32 X 010

235 ........................................ 18 23 X 020 324 ........................................ 36 32 X 010

236 ........................................ 18 23 X 020 325 ........................................ 36 32 X 010

237 ........................................ 18 23 X 020 326 ........................................ 36 32 X 010

238 ........................................ 18 23 X 020 327 ........................................ 36 32 X 010

239 ........................................ 19 23 X 020 328 ........................................ 36 32 X 010

329 ........................................ 36 32 X 010

2 4 1 ........................................ 20 24 X 010

242 ........................................ 20 24 X 010 3 3 1 ........................................ 37 33 X 010

243 ........................................ 20 24 X 010 332 ........................................ 37 33 X 010

244 ........................................ 21 24 X 010 333 ........................................ 38 33 X 010

2448 ...................................... 20 — — 3331 ...................................... — — —

(21) — — 3333 ..................................... — — —

245 ........................................ — 24 X 010 3334 ..................................... — — —

2451 ..................................... 61 — — 334 ........................................ 38 33 X 010

2452 ...................................... 20 — — 335 ........................................ 38 33 X 010

249 ........................................ 20 24 X 010 336 ........................................ 38 33 X 010

3361 ...................................... — — —

2 5 1 ........................................ 22 25 X010 3362 ...................................... — — —

252 ........................................ 23 25 X 010 339 ........................................ 37 33 X 010

253 ........................................ 23 25 X 010

254 ........................................ 23 25 X 010 3 4 1 ........................................ 39 34 X 010

259 ........................................ 23 25 X 010 342 ........................................ 42 34 X 010

343 ........................................ 40 34 X 010

2 6 1 ........................................ 24 26 X 020 3 4 4 ........................................ 40 34 X 010

262 ........................................ 24 26 X 020 345 ........................................ 41 34 X 010

263 ........................................ 24 26 X 020 346 ........................................ 41 34 X 010

264 ........................................ 24 26 X 020 3462 ...................................... 37 — —

265 ........................................ 25 26 X 020 (41) — —

266 ........................................ 24 26 X 020 3463 ..................................... 38 — —

(41) - -

2 7 1 ........................................ 26 27 X 020 347 ........................................ 42 34 X 010

272 ........................................ 26 27 X 020 348 ........................................ 42 34 X 010

273 ........................................ 26 27 X 020 3 4 8 X ...................................... — — —

274 ........................................ 26 27 X 020 349 ........................................ 42 34 X 010

275 ........................................ 26 27 X 020

276 ........................................ 26 27 X 020 3 5 1 ........................................ 43 35 X 010

277 ........................................ 26 27 X 020 352 ........................................ 44 35 X 010

278 ........................................ 26 27 X 020 3523 ...................................... - — —

279 ........................................ 26 27 X 020 353 ........................................ — 35 X 010

3531 ...................................... 45 — —

2 8 1 ........................................ 27 28 X 020 3534 ...................................... 46 — —

281 X ................................... 38 — — 354 ........................................ 47 35 X 010

(27) — — 355 ........................................ 48 35 X 010

282 ........................................ 28 28 X 020 356 ........................................ 49 35 X 010

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Table E-1. Aggregation scheme— Continued

Level 1 (basic industry)

Aggregations

Level 1 (basic industry)

Aggregations

Level 2 Level 3 Level 4 Level 2 Level 3 Level 4

356 X ...................................... _ _ _ 3 9 1 ........................................ 64 39 X 010

3562 ..................................... — — — 393 ........................................ 64 39 X 010

394 ........................................ 64 39 X 010

357 ........................................ 51 35 X 010 395 ........................................ 64 39 X 010

357 X ..................................... — — — 396 ........................................ 64 39 X 010

358 ........................................ 52 35 X 010 399 ........................................ 64 39 X 010

3585 ...................................... — — — 3 9 9 X ...................................... 18 — —

359 ........................................ 50 35 X 010 (64) - -

3 6 1 ........................................ 53 36 X 010 Nonmanufacturing:

362 ........................................ 53 36 X 010

363 ........................................ 54 36 X 010 0X 10 ................................... 1 X100 X 100

3 6 4 ........................................ 55 36 X 010 1 0 X 1 ..................................... 5 X200 X 200

365 ........................................ 56 36 X 010 1 0 X 2 ..................................... 6 X200 X 200

366 ........................................ 56 36 X 010 1 X 1 0 ..................................... 7 X200 X 200

3651 ..................................... — — — 1 3 X 1 ..................................... 8 X200 X 200

3661 ..................................... — — — 1 X 2 0 ..................................... 9 X 200 X 200

3694 ..................................... — — —

367 ........................................ 57 36 X 010 1470 ...................................... 10 X 200 X 200

369 ........................................ 58 36 X 010 1 X 3 0 ..................................... 11 X 300 X 300

4 X 1 0 ..................................... 65 X 400 X 400

3 7 1 ........................................ 59 37 X 010 4 X 2 0 ..................................... 65 X 400 X 400

371 X ..................................... — — — 4 X 3 0 ..................................... 65 X 400 X 400

372 ........................................ 60 37 X 010

3 7 2 X ..................................... — — - 4 1 2 1 ...................................... 65 X 400 X 400

3721 ..................................... — — — 4 1 3 0 ...................................... 65 X 400 X 400

373 ........................................ 61 37 X 010 41 X 1 ..................................... 65 X 400 X 400

3731 ..................................... — — — 4 4 X 1 ..................................... 65 X 400 X 400

374 ........................................ 61 37 X 010 4 5 X 1 ..................................... 65 X 400 X 400

375 ........................................ 61 37 X 010

376 ........................................ 60 37 X010 4 5 X 2 ...................................... 65 X 400 X 400

3761 ...................................... 13 — — 4 6 1 0 ..................................... 65 X 400 X 400

(60) — — 4 8 X 1 ..................................... 66 X51 0 X 500

379 ........................................ 61 37 X 010 4 8 X 2 ..................................... 67 X51 0 X 500

3795 ...................................... 13 — — 4 9 X 1 ..................................... 68 X 520 X 500

(61) - -

4 9 X 2 ..................................... 68 X 520 X 500

3 8 1 ........................................ 62 38 X 010 4 9 X 3 ...................................... 68 X 520 X 500

382 ........................................ 62 38 X 010 5 X 1 0 ..................................... 69 X600 X 600

3825 ..................................... 53 — — 5 X 2 0 ..................................... 69 X 600 X 600

(62) — — 6 X 1 0 ...................................... 70 X71 0 X 700

383 ........................................ 63 38 X 010

3 8 3 X ..................................... 13 — — 6 X 2 0 ..................................... 71 X71 0 X 700

(63) - — 7 X 1 0 ..................................... 72 X 720 X 700

384 ........................................ 62 38 X 010 X 1 0 0 ..................................... 73 X 720 X 700

385 ........................................ 63 38 X 010 7 X 2 0 ..................................... 76 X 720 X 700

386 ........................................ 63 38 X 010 8 X 1 0 ..................................... 77 X 720 X 700

387 ........................................ 62 38 X 010 7500 ..................................... 75 X 720 X 700

124

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Federal Reserve Bank of St. Louis
Order Form

Persons wishing to receive additional capital stock data for industries other than those presented in this bulletin or on computer tape or cards should return this order to:

Office of Economic Growth 

Bureau of Labor Statistics 

Washington, D.C. 20212

Telephone: 202-523-9036

Capital Stocks Data Request

Name:__________________________________________________________________ Telephone:

Organization:______________________________________________________________________

Address:__________________________________________________________________________

Type of organization (check one): Government__ Educational__ Private Business__ Other (specify)

Data desired:

Structures_______ Equipment_______ T otal________

Historical dollars________ Constant dollars________

Years: Begin_______ End________

Level of detail (See appendix D. Request may be at more than one level.):

1__ 2 __ 3 __ 4 __ 5___

Industries: Specify the actual industries required, a range of industries, or ‘ALL’ if all industries are desired. Use the 

industry codes from appendix D to identify each industry. If more than one level is requested, also indicate the 

detail level for each industry.

Time series: See appendix D for the available series.

Output medium:

Printout_____ Cards_____ Computer tape_____

Tape requirements (check one):

7-Track BCD, 556 BPI__ 7-Track BCD, 800 B P I_ 9-Track EBCDIC, 800 B P I_ 9-Track EBCDIC, 1600 B P I_ .

Standard IBM Labels (check one): Yes__ No__

NOTE: For requests requiring an extensive amount of printing and for any requiring computer tapes, a charge will be made 

to cover processing costs. The requestor will be notified of the charge in advance and will be sent a purchase contract.

125 ☆ U.S. GOVERNMENT PRINTING OFFICE: 1979 O — 231-412/152

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Federal Reserve Bank of St. Louis
Characteristics of

Major Collective

Bargaining

Agreements,

July 1,1976

For the labor relations practitioner and student—

A handy statistical reference on 1570 of the largest collective bargaining agreements in the United States.

More than 80 tables dealing with agreement 

characteristics:

• Union security, management rights, and related 

provisions

• Wages and wage-related clauses

• Hours, overtime, and premium pay

• Paid and unpaid leave

• Seniority and seniority-related provisions

• Job security arrangements

• Dispute settlement procedures

All data are derived from a broad review of agreements 

currently on file with the Bureau of Labor Statistics 

covering at least 1,000 workers and in effect on July 1, 

1976, or later.

Bulletin 2013 reports the results of negotiations 

involving some of the largest companies and unions in 

the United States.

Fill out and mail this coupon to 

BLS Regional Office nearest you or 

Superintendent of Documents,

U.S. Government Printing Office, 

Washington, D.C. 20402.

Make checks payable to 

Superintendent of Documents.

Please send_________copies of Characteristics of Major Collective Bargaining

Agreements, July 1, 1976, Bulletin 2013 No.029-001-22086-7, price $2.75.

□ Remittance is enclosed □ Charge to GPO deposit account no.________

N a m e ____________________________________________

Address ________________________________________________________

City, State, and Zip Code __________________________ __________________ Digitized for FRASER 

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Federal Reserve Bank of St. Louis
Bureau of Labor Statistics

Regional Offices

Region I

1603 JFK Federal Building 

Government Center 

Boston. Mass 02203 

Phone: (617) 223-6761

Region II

Suite 3400 

1515 Broadway 

New York. N Y 10036 

Phone: (212) 944-3121

Region III

3535 Market Street 

PO Box 13309 

Philadelphia. Pa 19101 

Phone (215) 596-1154

Region IV

1371 Peachtree Street. NE 

Atlanta. Ga 30309 

Phone: (404) 881-4418

Region V

9th Floor

Federal Office Building 

230 S Dearborn Street 

Chicago. Ill 60604 

Phone:(312)353-1880

Region VI

Second Floor

555 Griffin Square Building 

Dallas. T0x 75202 

Phone: (214) 767-6971

Regions VII and VIII*

911 Walnut Street 

Kansas City. Mo 64106 

Phone: (816) 374-2481

Regions IX and X**

450 Golden Gate Avenue 

Box 36017

San Francisco, Calif 94102 

Phone: (415) 556-4678

* Regions VII and VIII are serviced

by K ansas City

“ Regions IX and X are serviced

by San Francisco

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