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Capital Stock Estimates for Input-Output Industries: Methods and Data U.S. Department of Labor Bureau of Labor Statistics 1979 Bulletin 2034 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 Library of Congress Cataloging in Publication Data U n ite d S t a t e s . B ureau o f L abor S t a t i s t i c s . C a p i ta l s to c k e s tim a te s f o r in p u t - o u tp u t i n d u s t r i e s . ( B u l l e t i n - B ureau o f L abor S t a t i s t i c s ; 203^-) S u p t. o f D ocs, 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 eth o d s. 2 . C a p i ta l - - U n it e d S t a t e s - - S t a t i s t i c s . I. T itle . II. S e r i e s : U n ite d S t a t e s . B ureau o f L ab o r S t a t i s tic s . B u l l e t i n ; 2 0 3^. HC110.C3U51+ 1979 332 ’ . 0 4 l 79-607107 For sale by the Superintendent of Documents, U.S. Government Printing Office Washington, D .C . 20402 Stock Number 029-001-02397-9 Preface model. The number of industries was expanded to cov er 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 as sumed responsibility for developing, maintaining, and disseminating the capital stock data. To this end, a ma jor effort was devoted to developing a large-scale data base to allow ease of access to the data both for inter nal BLS use and for users outside the Department of Labor. The data reflected in this report were recently up dated 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 Eco nomic Growth. It was designed and written by Ken Rogers under the direct supervision of Charles T. Bow man. Joanne Hepburn compiled the complete invest ment series, developed the industry level deflator se ries, 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 re search 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 Fed eral Government. Please credit the Bureau of Labor Statistics and cite Capital Stock Estimates for Input-Out put Industries: Methods and Data, Bulletin 2034. 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 in dustry’s product or service. The Bureau of Labor Sta tistics (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 indus try including a description of the mathematical model, the sources and methodology used to develop the in put 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 Eco nomic Advisers, the Office of Management and Budg et, 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 com prehensive set of capital measures. Most of the work of developing the capital stock model and data was per formed by Jack Faucett Associates on contract with the Department of Labor. Beginning in 1967, the mod el was developed and capital stocks were estimated for eight industries. Dr. Noel Roy was responsible for de veloping the theoretical model and writing the com puter 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 iii Contents Page Chapters: 1. 5. In tro d u c tio n .......................................................................................................................................................... Choosing an estimation procedure................................................................................................................... General requirements of the model................................................................................................................... Relation to other s e r i e s ................................................................................................................................... The investment se rie s............................................................................................................................................. Criteria................................................................................................................................................................. Data so u rc es....................................................................................................................................................... Asset weights, service lives, and gross investment d e fla to rs............................................................................... Asset weights .................................................................................................................................................... Asset service l i v e s ............................................................................................................................................. Gross investment deflators................................................................................................................................ Time paths of discards and depreciation............................................................................................................... Discard p attern .................................................................................................................................................... Depreciation fu n c tio n ....................................................................................................................................... Capital stocks for major sectors.............................................................. 1 1 4 4 6 6 7 14 14 14 15 18 18 20 25 1. 2. 3. 4. 5. 6. Simple discard function for five assets with service lives ranging from 5 to 25 y e a r s .................................... Distribution of discards for an asset with a 10-year service l i f e ........................................................................ Alternative discard functions for five assets with service lives ranging from 5 to 25 years.............................. Efficiency of an asset with a 10-year service life under various depreciation assumptions.............................. Alternative discard and decay functions for five assets with service lives ranging from 5to 25 years . . . . Comparison of BLS and BEA gross capital stock estimates, 1947-74 ............................................................... 18 19 20 22 24 32 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. Derivation of capital s t o c k .................................................................................................................................... Capital stock and related time s e r i e s ..................................................................... Average service lives of equipment and structures............................................................................................... Service life assumptions for transportation industries......................................................................................... Transportation industry deflators by type and source......................................................................................... Depreciation time paths based on alternative values of Beta for an asset with a 10-year service life ............. Impact on capital stock estimates of changes in the value of Beta...................................................................... Gross investment for major sectors: Historical d o lla r s ..................................................................................... Gross investment for major sectors: Constant dollars ..................................................................................... Gross capital stocks for major sectors: Historical d o llars.................................................................................. Gross capital stocks for major sectors: Constant d o lla r s .................................................................................. Net capital stocks for major sectors: Historical d o llars....................................................................................... Net capital stocks for major sectors: Constant d o lla r s ....................................................................................... 2 3 16 16 17 23 24 26 27 28 29 30 31 2. 3. 4. Charts: Tables: v Contents— Continued Page Appendixes: A. Adjustments to investment data ......................................................................................................................... B. Mathematical description of the m o d e l............................................................................................................... C. Tables of investment and capital stocks for input-output industries, 1947-74................................................. D. Data series and level of detail av a ila b le................................................................................................................ E. Aggregation schem e................................................................................................................................................ Order f o r m ................................................................................................................................................................................. VI 33 41 46 118 122 125 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 mathe matical 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 as sets purchased at many different times. The composi tion 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 os tensibly 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 com monly 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 meas ure 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 de preciation. In this study, physical depreciation is de fined 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. which will allow comparison with data from other firms. The estimation techniques described in this bulletin have been developed to permit comparative analysis. Ana lysts 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 suf ficient detail to allow meaningful comparisons of dif ferent 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 pro duction in a given year. Choice of the estimation technique depends on the availability of consistent input data for all industries de sired 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 perpet ual 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 cor porations 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-val ue 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 de preciation, also called efficiency depreciation, is defined as the change in productiveness of an asset over time. 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 in dustries 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 de fined 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 1 Efficiency depreciation data are not available from the IRS and would have to be estimated. Generally, ac counting depreciation figures are available, but these data reflect tax code allowances and are intended to measure depreciation due both to a decline in efficien cy and a decline in market value. Further, IRS depre ciation guidelines incorporate incentives for capital for mation 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. Devel opment 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 val ue 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 dis tribution of capital stock, and any imputations would yield quite subjective results. Given the above prob lems, the use of book values alone would prove unsatisfactory. 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 vin tage 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 per petual 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 pro duction 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 re tired. 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 an other industry. This may lead to inaccuracies in relat ing the capital stock to other time series for the indus try such as output and employment. This problem be comes less severe at higher levels of aggregation but should be kept in mind by those who are using the de tailed industry data described as level 1 in table 2. The final problem relates to the assumptions required by the perpetual inventory technique. The above ex ample 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 assump tions must be made to develop a model to account for Perpetual inventory technique A second method-the perpetual inventory techniquewould be to trace an industry’s investment in a specif ic capital asset by starting in its purchase year and est imating 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 pre vious 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 invest ment flows and resulting capital stock. In table 1, the first investment year identified is 1951. In the absence of depreciation, the value of the 1951vintage investment remains at 100 until 1956, when it Table 1. Derivation of capital stock End-of-year value o f capital Investment year 1951 19 52 19 53 1954 1 9 55 1956 ........................................... ........................................... ........................................... ........................................... ........................................... ........................................... Capital stock: G ro s s ........................................... N et ........................................... 1951 1952 1953 1954 1955 100 10 0 (9 0 ) 100 10 0 (7 5 ) 10 0 (9 0 ) 1 0 0 (5 5 ) 10 0 (7 5 ) 10 0 (9 0 ) 100 10 0 (3 0 ) 1 0 0 (5 5 ) 1 0 0 (7 5 ) 10 0 (9 0 ) 100 400 320 50 0 350 to o 100 100 200 190 300 265 2 1956 0 1 0 0 (3 0 ) 1 0 0 (5 5 ) 1 0 0 (7 5 ) 10 0 (9 0 ) 100 500 350 Table 2. Capital stock and related time series Level Capital sto c k —this study 1 ......................... T otal agriculture 32 nonm anufacturing industries M anufacturing: 143 3-digit SIC industries 14 4-digit SIC industries. BLS Input-O utput (I/O ) Sectors 7 agriculture industries 47 nonm anufacturing industries 9 5 m anufacturing industries. Time series available for 1947-74 in historical and constant dollars (1972=100). Time series available for 195 8-76. Levels 2-5 below are defined based on aggregations o f industries at this level o f detail. 2 ......................... T otal agriculture 20 nonm anufacturing industries 52 m anufacturing industries. Industries defined according to BEA I/O definitions. Related BLS and BEA data series O u tp u t—current dollars O u tp u t—constant dollars (1972 = 100) Production or nonsupervisory w orker jobs N onproduction w orker jobs Self-employed jobs Production w orker hours N onproduction w orker hours Self-employed hours Index o f labor productivity. BLS I/O Industries 4 agriculture industries 20 nonmanufacturing industries 52 manufacturing industries. C om m ents Capital stock may be developed for m ost I/O sectors by aggregations o f one or m ore capital stock industries. However, lack o f detail in the capital stock data base requires: 1. aggregation of the 7 I/O agriculture industries into to tal agriculture, 2. aggregation of 25 I/O nonm anufacturing sectors in various com binations to form detail com parable to detail available in the capital stock data base, and 3. aggregation of 10 I/O m anufacturing sectors to form comparable industries. D ata are com patible for all indus tries except agriculture where the four BLS agriculture indus tries m ust be aggregated to form the to ta l agriculture sector. Industries defined according to BEA I/O definitions. Aggre gated from tim e series above. 3 ......................... Total agriculture 9 nonm anufacturing industries 20 m anufacturing industries (2-digit SIC definitions). No com parable BLS or BEA tim e series are currently available. BLS industry data may be aggre gated for m ost of these indus tries. Com parable data from o ther sources may exist for this comm only used aggregation scheme. 4 ........................ T otal agriculture 7 nonm anufacturing industries 2 m anufacturing industries. No com parable BLS or BEA tim e series are currently available. BLS industry data m ay be aggre gated for all o f these indus tries. Com parable data from other sources may exist for this com m only used aggregation scheme. 5 ........................ T otal agriculture Total nonm anufacturing Total m anufacturing. BEA capital stocks Total agriculture Total nonm anufacturing Total m anufacturing. National Incom e investm ent Producers’ durable equipm ent Structures. BEA data are not strictly com para ble due to differences in m ethod ology, assum ptions, desired end use, and data gathering tech niques. BLS industries m ay be aggregated to this level of detail to form consistent values. NOTE: “ N onm anufacturing industries” does not include agriculture. 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 va lidity 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 Sur vey of Manufactures. The great advantage of using the combined technique is that it eliminates the problems 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 perpet ual inventory technique to develop relationships be tween 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 3 associated with reclassification of firms into other in dustries, since book-value data are purportedly an ac curate 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 def inition 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 nega tive values, implying an increase of assets in the indus try other than through investment. To a limited extent, the increase may be explained by transfers of establish ments 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 fur ther research is required before an accurate capital stock series can be developed based on the combined tech nique. 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 pre sented here does not take changes in technology ex plicitly 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 ac counting for technological change in a manner which is not related to any specific factor of production. 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 capi tal 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 serv ice 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 qual ity, utilization rates, or simply chance. Step 2 is dis cussed 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 oth er industry-specific time series developed by BLS. Oth er 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 Classifica tion System (SIC) which allows meaningful compari sons 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 de mand, 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 lev el. 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 in vestment 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 General Requirements of the Model The problems associated with the perpetual invento ry technique, while not minor, are outweighed by its convenience and the wealth of information produced when using this model, especially when calculating cap ital stock under varying assumptions concerning retire ment and depreciation patterns. The example previous ly given, while simplified, is an accurate depiction of the basic model used in this study. There are three bas ic 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 sub sequent years as it declines in efficiency. 1Time Series Data for Input-Output Industries: Output, Price, and Employment, Bulletin 2018 (Bureau o f Labor Statistics, 1979). 1Fixed Nonresidential Business and Residential Capital in the United States, 1925-75, PB-253 (U.S. Department of Commerce, Bureau of Economic Analysis, 1976). 4 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 ap proximates 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. 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 lev els 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 avail able industries in the BLS data base and describes the time series calculated for each industry. 3The 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 o f ag riculture 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 simply the residual obtained by netting out agriculture and manufac turing investment from the total. The nonmanufacturing total devel oped in this study is the agregation o f investment for each o f the de tailed 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 o f detail to insure conformity with the BEA total. 5 Chapter 2. The Investment Series A company consists of one or more establishments. Industry classification by company is based on the pri mary 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 classifi cation provides a more accurate allocation of invest ment 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 indus try-level time series data developed by BLS, all of which are defined on an establishment basis. The simple model described in chapter 1 outlined the basic use of annual investment data in calculating cap ital stocks. This chapter presents the specific require ments 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 develop ing 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 corpor ate 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. Industry definitions In developing the investment series, it is important that the data be comparable over the entire series. Ma jor 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. Gen erally, 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 consist ency, tabulations are required with which data from one classification may be recast into another. SIC “con cordances” were developed to recast data classified un der the 1939, 1947, 1954, 1957, and 1967 SIC systems into the 1972 SIC base used by this study. Establishment vs. company classification Investment data generally are classified into indus tries either on an establishment basis or on a company basis. The choice of the classification system may sig nificantly affect the results, depending on the degree of product diversification typical of companies in the industry. An establishment is defined as an economic unit, gen erally at a single location, where business is conducted or where goods and services are produced. In those lo cations where several economic activities are per formed, each activity is treated as a separate establish ment if there is significant employment in each activi ty and if separate data are available for each establish ment. In the event these conditions are not met, all the activities are classified according to the primary activ ity of the economic unit. Length of investment series The time period over which the investment time se ries 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 6 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. 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 in dustries for all years. Other sources included various publications of government regulatory agencies, capi tal and investment surveys conducted by the Bureau of Economic Analysis, and other studies pertaining to spe cific industry investment patterns. Inclusions and exclusions The investment series must include all domestic in vestment expenditures made by the private sector. This should include expenditures by both corporate and non corporate 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 pri vate sector should be included since, in certain indus tries these assets play a major role in the production process. However, these data should be maintained sep arately in order to preserve the distinction between di rect purchases by the private sector and government transfers. Finally, although total capital expenditures by an es tablishment 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. 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 gen eral 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 pri marily 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 four digit industry was usually reassigned to or combined with another industry. For these reassignments, the pro cedure 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 indus tries, data in the census years were presented in both the new classification and the old classification, detail ing the value added, annual shipments, and number of workers employed by the industry in both classifica tions. 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 defi nition. Using these ratios, the investment data were re tabulated into the SIC of the succeeding census. In some cases, value added data were not available, and the val ue of shipments or number of employees was substi tuted. 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 adjust ed by the same ratio. These code-adjustment ratios op erated in a multiplicative manner. When data had to be adjusted for two or more SIC revisions, the individual ratios were multiplied together to derive the total ad- 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 re quired 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 adjust ments 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 calcula tions or neared zero in the years after 1947. Two sources supplied most of the data used to de velop 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 manufactur ing industries from 1949 to 1974 and benchmark points 7 justment ratio. For example, if an SIC code were re duced 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 equip ment 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 expend itures. However, variations in the reporting detail of the ASM in several years prevented use of these tech niques 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 retabula tions 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 expend itures 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 mak ing up that three-digit industry. The investment series was then retabulated based on the adjustment ratios cal culated for the census years. The final adjustment to the census and ASM data was to account for variations in the treatment of ex penditures by establishments not yet in operation. These Internal Revenue Service The major sources of investment data for manufac turing industries for the years 1930-46 and for nonman ufacturing industries for the years 1930-74 were two publications of the Internal Revenue Service, Statistics o f Income and Source Book o f 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 con cepts 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 ex tensively throughout this study both as the actual in vestment 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 in stead, detailing the level of net depreciable assets and depreciation. Total investment expenditures are imput ed as the sum of the change in end-of-year levels of net depreciable assets for two successive years plus the de preciation charged during the year. For example, cap ital 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 depreci ation 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 com parable with data from other sources. A number of these were complicated by the need for two consecu tiv e years o f com parable data to bridge a break or in compatibility in the series. While some of these prob lems were treated explicitly, others were not. Some were overcome through the use of the IRS data as an index only. expenditures w ere included for all establishm ents b eg in ning 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 av erage adjustment ratios of the 1951-57 investment se ries for each industry. In certain industries throughout the time period, there were gaps in the data where disclosure rules prevent ed 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 calcu lated and assumed to apply to the missing year. This share was then applied to the two-digit expenditure se ries to derive the estimated three-digit data. 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 sub sidiary 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 Classifica tion (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 8 contains several levels of detail corresponding to the two-, three-, and four-digit SIC levels. Prior to 1974, the IRS used its own industry classi fication, which also contained a hierarchical structure of major industries, minor industries, and industry ac tivities 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 redefi nition of many industry activities. Several adjustments to the 1930-37 data were required to make them con form 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. Unfor tunately, prior to the use of the ESIC, no strict con cordance 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 proc ess is discussed in more detail later in this chapter. Asset transfers and revaluations. Use of year-to-year balance-sheet data created a second problem-the reval uation of assets which were sold or transferred from one company to another. Book values of assets are main tained in a gross depreciable assets account, and depre ciation charged against an asset is maintained in an ac cumulated 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 as sets of the selling firm by $100 and increase the net de preciable 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 in crease of $10 in the net depreciable assets of the indus try 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 (to tal 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. S in ce no data exist on in terindustry 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 scrap ping 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 deri ved 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 Changing product mix. One major problem encoun tered 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 o le company were then allocat ed 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 ac tual change in investment in the old industry and an overstatement of the actual change in the new indus try. This problem was left unresolved and the user of data developed from IRS sources should use the im puted investment data at fine levels of detail with some caution. 9 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. refining, depletion or investment data were developed from other sources. Land and intangible assets. Prior to 1938, land was in cluded with depreciable assets. Since it was not feasi ble 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 ad justment 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 distin guished 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. Consolidated returns. Prior to 1933, assets of firms re porting on a consolidated or deconsolidated basis are indistinguishable in the data. The problem of the prop er allocation of assets of multisector corporations be tween 1930 and 1933 was surmounted by assuming that investment relationships in the years with no data break downs 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 cal culated as the weighted average of the 1933 and 1934 ratios and were applied directly to the investment se ries calculated in 1930-32. Since a constant ratio was used throughout the series, direct adjustment of the im puted 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 ad justed to allocate the expenditures to other industry groups based on the consolidated/ deconsolidated data available in the 1934 report. Ratios were calculated re lating 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 re ported 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 to tals which was used to scale the component minor in dustries in order to sum to the adjusted total. Noncorporate investment share. An additional adjust ment 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 ex penditure series and not as an index of change. The ad justment was made based on the ratio of total depreci ation in an industry to depreciation charged by the cor porate 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 cal culated ratio for 1929 was used for all years prior to 1929. Conversion to SIC. To this point, the described calcu lations were used to develop a consistent series based on IRS industry classifications. The manufacturing se ries 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 in dustries since these industries are classified in broad groups which are readily defined by aggregating groups of IRS industries. In converting the manufacturing se ries, 1947 was chosen as the bridge year, since maxi mum detail was available both in the IRS and census data. As previously noted, no cross-references of IRS/census industries were available and the adjust ment 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 in vestment data and group them in an IRS minor (3-digit) Depletion allowances. Depletion allowances included with depreciation in the years 1930-54 tended to over state 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 in vestment 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 10 industry according to IRS definitions of industrial ac tivities 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 distinc tion. Therefore, these industries were converted to the 1947 SIC using proportions derived from the 1939 cen sus 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 ex penditures 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 com paring industry investment in the nearest 3 positive years to the total expenditures in those years for all manufacturing industries (as published by BEA) and as suming that an industry’s investment in the negative year was the same proportion of total manufacturing investment as it was during those 3 years. servations available during this time period. Fortunate ly, 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 man ufacturing industries consists of three articles published in the Survey o f 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 in dustrial machinery and equipment used for manufactur ing 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 deri ved from gross changes in physical capacity multiplied by appropriate indexes of construction costs, or on a series based on annual expenditures for factory build ing, plus estimates of the annual production of indus trial machinery, allocated to the 12 industries using var ious 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 manufactur ing 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 instru ments 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 proc esses, and the change in all 18 industries was used to 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 in vestment in IRS terms was the same as the correspond ing 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 str y ) S lC (in d u stry ) 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 bench mark years. The census data include the distinction be tween plant and equipment which was used in calcu lating the ratios. The IRS-based series was also broken into the component parts by the benchmarking proc ess. 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 ob 4Lowell Chawner, “Capital Expenditures for Manufacturing Plant and Equipment-1915 to 1940”, Mar. 1941, pp. 9-15; “Capital Expend itures in Selected Manufacturing Industries”, Dec. 1941, pp. 19-26; “Capital Expenditures in Selected Manufacturing Industries - Part II”, May 1941, pp. 14-23. 5M. Gort and R. Boddy, Capital Measures and Production Relations (unpublished). 11 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 devel oped based on the firearm, ammunition, and explosives industries available from the biennial Census of Manu factures of that time period and used as a proxy for this series. Data for the missing years were derived by in terpolating the data of the successive pairs of preced ing and following years. with IRS industry components. Ratios were calculated from the WPB industry total to the sum of IRS com ponent 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 equip ment 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 man ufacturing and nonmanufacturing industries6. The sur vey details capital expenditures for 28 manufacturing industries and 14 nonmanufacturing industries. Compa nies (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 com pany’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 sub sidiaries are classified entirely by the manufacturing pri mary 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 Manufac tures in 1963 revealed an overstatement of capital ex penditures as derived from the survey for total manu facturing 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 se ries. However, these series were useful in developing the capital expenditures series for certain industries where little or no difference exists between classifica tions based on company data and those based on estab lishment data. Wartime agencies, 1940-45 Annual investment statistics were collected and re corded for the period July 1940-June 1945 by the War Production Board and the Civilian Production Admin istration (collectively referred to as the WPB). Capital expenditures during this period required public authori zation under various regulations; the data produced in the enforcement of these regulations are the most ac curate available from any source. These data were com piled 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 ad vantage of this series, equivalent IRS industries (ex pressed 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 in vestment 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 ex penditures for the larger capital goods. Expenditures for capital which was privately owned but federally fi nanced 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 adjust ment 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 sta tistics defined ten industry groups, nine producers of war materials and a residual group encompassing all other manufacturing industries. None of the WPB in dustries were defined in terms of SIC or IRS industries. Rather, IRS industries were assigned to a WPB indus try group on the basis of title alone. Sufficient data were available at this point to split four of the WPB indus tries into an additional four industries by assuming that the plant-to-equipment ratio of each component indus try 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 BEA capital stock studies BEA conducts periodic studies of capital stocks sim ilar to this study7. However, the BEA studies are di rected 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 se ries 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 o f the B E A /S E C survey may be found in “N ew Es timates o f Fixed Business Capital in the United States, 1925-65”, Sur vey o f Current Business, Dec. 1966, pp. 34-40, and “Revised Estimates o f New Plant and Equipment Expenditures in the United States, 194769: Part I”, Survey o f Current Business, Jan. 1970, pp. 25-37. 1 Fixed Capital, 1925-75. 12 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 re sidual amount is classified to the nonmanufacturing ex cluding agriculture sector. The BEA manufacturing se ries was used as a benchmark for the manufacturing se ries 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, passen ger autos owned by households that are used for busi ness purposes, and the capitalized trade margins on pur chases of used equipment assets. Most purchases of gov ernment 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 adjust ments would not have measurably improved the capi tal stock estimates. Thus the manufacturing data after 1946 were controlled to the available census totals. For the period 1890-1920, the BEA structures invest ment total was used as the control for estimating indus try 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 exhib ited 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 in vestment during the same period. Second, data were allocated to the three-digit level by taking the compo nent three-digit industry’s share of the previously esti mated two-digit total. While this process forces the in vestment 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 13 1967 which detail the sales of various types of produc ers’ durable equipment (PDE) and structures to the in dustry using these capital assets8. These tables are bas ically a disaggregation of the gross private domestic in vestment (GPDI) column of final demand in the inputoutput tables developed for these years. Data are de veloped showing the flow of up to 506 different prod uct codes to the 76 private business sector industries using these capital goods. The sales or use of the cap ital goods are developed from a variety of sources, some of which depart from the ownership basis of capital ex penditures used in the various census sources. Other departures from the census concept include rentals of identifiable capital goods, inclusion of central adminis trative 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 in vestment for each of the 76 industries and were con verted to a distribution for use in the asset-weight se ries described in chapter 3. The total investment series was used as a benchmark for selected nonmanufactur ing industries where more reliable data were not avail able. 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 meth odology 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 dis tribution of asset purchases in the revised 1958 table yielded inconsistencies in many industries when com pared 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-der ived investment data. 8Interindustry Transactions in New Structures and Equipment, 1963 and 1967, BEA SUP-75-07 (U. S. Department o f Commerce, Bureau o f Economic Analysis, 1975). 9 Capital Flow Matrix, 1958. Bulletin 1601 (Bureau o f Labor Statis tics, 1968. Chapter 3. Asset Weights, Service Lives, and Gross Investment Deflators bution of asset purchases for certain industries, espe cially between 1958 and 1963. Since the 1958 table was based on less comprehensive data and different techni ques 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 pur chases. Therefore, the 1958 table was eliminated as an indicator of asset distributions. It was then assumed that the remaining asset distri butions were a reasonable representation of the distri bution of asset purchases for all years. While this as sumption 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 distri bution of asset weights was assumed to be the weight ed 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 se ries 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 Weights Chapter 2 presented the general requirements for de veloping the investment data for structures and equip ment. These data represent a bundle of different types of assets, each with its own attributes, including differ ences 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 compari sons are made, since the level of capital stock is direct ly 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 in dustry, 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 devel oping a time series of sufficient length to use in the per petual inventory model would prove to be a burden some task. Fortunately, information is available on the asset com position 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 ta bles (transactions matrices) developed by BLS and BE A 101. These tables detail the purchases or use of dif ferent types of equipment and plant assets for the 77 private sector industries defined in the BEA input-out put tables for those years. For this study, equipment items were grouped into 22 broad categories consistent with the producers’ durable equipment production se ries available in the National Income and Product Ac counts". 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 distri 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 Bulle tin 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 ship ments of these goods and allocating the weighted life to the BEA category. However, subsequent revisions of the IRS depreciation guidelines and other evidence 10Capital Flow Matrix, 1958, and Interindustry Transactions, 1963 and 1967. 11Data for the National Income and Product Accounts are present ed in various monthly issues o f the Survey o f Current Business. These data are compiled periodically in a reference volume, the latest o f 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. 12Fixed Capital, 1925-75. 13 Income Tax, Depreciation and Obsolescence, Estimated Useful Lives and Depreciation Rates, IRS Bulletin F (Rev. January 1942). 14 which the data are shown. These figures are used as an approximate measure of the replacement costs of capi tal. 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 cap ital stock and related time series presented in this bul letin are calculated in both historical dollars and con stant 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 equip ment and structures obtained from the National Income and Product Accounts15. The equipment deflators de tailed 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. Defla tor 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 over all 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 build ings in this study corresponded to the overall commer cial deflator, and the four institutional and other struc tures categories corresponded to the National Accounts institutional and other category. These data were sup plemented by deflator data from the BEA study to pro vide a continuous deflator series from 1890 to 1974. Once the price indexes for asset types were devel oped, specific industry gross investment deflators were obtained by weighting each asset price index by the corresponding weight of that asset in the industry’s in vestment bundle. The sum of the weighted indexes yielded a composite deflator which accurately reflect ed the mix of assets purchased by an industry. The transportation industries were special cases since neither their service lives nor their weights correspond ed to similar series for other industries. This required development of a special deflator series for each trans portation industry. The structures deflators used were various indexes from the National Accounts. The equip ment series was developed using weighted price index es from the National Accounts. Table 5 presents the deflator series and weights used for each transportation industry. suggest that the Bulletin F lives were too long, espe cially 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 down ward 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 serv ice lives were used along with the asset weights to de velop 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 serv ice 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 na tional income types. For example, the equipment bun dle in this study includes three types of electrical equip ment. 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 equip ment 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 transpor tation 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 cur rent year’s prices, i.e., the price level in the year for 14Capital Stocks Measures for Transportation: A Study in Five Vol umes, Jack Faucett Associates for the U.S. Dept, o f Transportation (December 1974). 15 National Income and Product Accounts, table 7.14. 15 Table 3. Average service lives of equipment and structures Life (years) Type of asset Life (years) Type o f asset Structures Equipm ent F u rn itu re ............................................................................................... Fabricated metal products ............................................................ Engines and turbin es..................................................................... Farm machinery except tractors.................................................... Construction machinery except tractors..................................... Mining and oil field m achinery....................................................... Metalworking m a c h in e ry ................................................................. O ffice, accounting, and computing machinery ...................... Service industry m a c h in e s ............................................................... Com m unication e q u ip m e n t............................................................ Other electric equipm ent, no t elsewhere classified................. Trucks, buses, and tr a ile r s .............................................................. A u to s ...................................................................................................... Ships and b o a t s .................................................................................. Railroad e q u ip m e n t........................................................................... In s tru m e n ts .......................................................................................... Other e q u ip m e n t................................................................................ Industrial b u ild in g s ........................................................................... Office b u ild in g s ................................................................................... W areho uses.......................................................................................... 15 18 21 8 17 9 10 16 16 14 8 10 14 14 14 1 6.8 Stores and restaurants........................................................................ Religious buildings.............................................................................. Education b u ild in g s........................................................................... Hospital b u ild in g s .............................................................................. R ailro a d s............................................................................................... Electric u t ilitie s ................................................................................... Petroleum p ip e lin e s ........................................................................... F a r m ....................................................................................................... Oil and gas wells ................................................................................ Oil and gas well e x p lo ra tio n ............................................................ 29 2 22 27 36 36 36 36 48 48 48 31 27 (3 ) 30 30 (3) 38 16 16 31 2 25 11 11 1Changed from BEA assumption of 9 years. 2 For equipm ent 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 Domestic air: Structures ..................................................... Equipm ent: Flight equipm ent: Turbo-fan ......................... Turbo-jetand turbo-prop: 4-engine ............... Railroads: 58 Equipm ent: Locomotives ................................. Work eq u ip m e n t........................... Passenger c a rs ................................. Freight cars..................................... Other e q u ip m e n t......................... Commercial trucking: Structures .................................................. E q u ip m en t: Trucks ............................................. Other e q u ip m e n t......................... 21.6 28.9 30.5 31.7 37 5 8.3 46 10.0 11.1 1 00 33 .3 2.0 10.6 52.6 1 0 .5 International air: S tru c tu re s ..................................................... Equipm ent: Flight equipm ent: Turbo-fan ......................... Turbo-jet and turbo-prop: 4-engine ............... 2-engine ............... Piston ................................. W id e -b o d y ......................... Ground e q u ip m e n t...................... 92 8 58 15 100 100 Local bus: S tru c tu re s ..................................................... E q u ip m e n t.................................................. 58 20 100 100 Equipm ent: Trucks ............................................. Com m unication equipm ent . . . 100 1 5.0 75.7 14.0 11.5 10.0 17 .0 8.8 5.1 5.9 2.5 2.8 8 .0 25 100 15.0 75.7 14.0 11.5 10 .0 17.0 8.8 5.1 5.9 2.5 2.8 8 .0 Water: 30 32 40 45 S tru c tu re s ..................................................... E q u ip m e n t.................................................. 15.9 80 .2 3.3 .6 E q u ip m e n t.................................................. 5 25 58 26 100 100 30 8 100 100 Freight forwarders: 20.2 79 .8 Taxicabs: S tru c tu re s ..................................................... E q u ip m e n t.................................................. 1 No investment in structures. 25 Asset weight (percent) 100 Intercity bus: S tru c tu re s .................................................... E q u ip m e n t.................................................. Pipelines: Structures: Gathering lin e s .............................. Main lin e s ........................................ Fuel ta n ks........................................ Piston ................................ W id e -b o d y ......................... Ground equipm ent .................... Service life (years) 16 (1) 3 (1) 100 Table 5. Transportation industry deflators by type and source Transportation mode National accounts price index1 Weight (percent) Railroads: E quipm ent............ Commercial trucking: S tru c tu re s ............ E q u ip m e n t.......... Domestic a ir : Railroad equipm ent 100 100 Industrial Trucks and buses General industrial equipm ent 100 92 8 Intercity bus: S tru c tu re s ............ E q u ip m e n t.......... Industrial Trucks and buses 100 100 Local bus: S tru c tu re s ............. E q u ip m e n t.......... Industrial Trucks and buses 100 100 National accounts price in dex1 Transportation mode E q u ip m e n t.......... International air; S tru c tu re s ............. E q u ip m e n t.......... Weight (percent) ' A ircraft Trucks and buses Furniture Office equipm ent Fabricated metal products 1 00 94 2.3 .5 .5 2.7 Commercial A ircraft Trucks and buses Furniture Office equipm ent Fabricated metal products 100 94 2.3 .5 .5 2.7 Industrial Ships and boats 100 100 Commercial Trucks and buses Furniture Office equipm ent 100 6 6 .5 16 .75 16.75 (2) Autom obiles (2) 100 Water: Pipelines: S tru c tu re s ............ E q u ip m e n t.......... Pipelines Engines and turbines Electrical machinery Tractors Trucks and buses S tru c tu re s ............ E q u ip m e n t.......... 100 41 4 6 .2 6.4 6.4 Freight forwarders: S tru c tu re s ............. E q u ip m e n t.......... Taxicabs: S tru c tu re s ............. E q u ip m e n t.......... 1 National income and product accounts: Structures, table 7.1 3; equipm ent, table 7.14. 2 No investment in structures, 17 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 estima tion process described in chapter 1. Chart 1. Simple discard function for five assets with service lives ranging from 5 to 25 years Percent of assets available for production 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 qual ity 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 se ries 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 invest ment bundle remaining n years after the original invest ment date. The value of this function will be 100 per cent 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 in dustry which buys five types of assets, each constitut ing 20 percent of total investment purchases. The short est lived asset is discarded after 5 years and the long est 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 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 av erage-50 percent of the assets of that type will be dis carded 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 Winfrey16during the 1930’s detailing the actual service lives of a group of assets in use dur ing 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). 18 distribution. No rigorous tests were performed to de termine if this distribution was in fact a normal distri bution, 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 assump tion is used mostly for convenience since tables of val ues for the normal distribution are readily available. The assumption of a normal distribution says noth ing about the dispersion or standard deviation of the distribution about the mean. For example, one could assume a very narrow, almost spiked, distribution hav ing a small standard deviation. This would create a nar row boundary within which the assets would be dis carded. Conversely, one could assume a broad-based distribution with a large standard deviation. This will yield a discard range over a long time interval, possi bly too long for effective use with the perpetual inven tory process. Similar studies using the Winfrey distri bution17 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 ad ditional 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 nor mal distribution is a continuous function which extends infinitely in both directions from the mean. As previ ously noted, two standard deviations account for ap proximately 95 percent of the area under the distribu tion. 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 ad justing 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 per formed in two ways. The first method is vertical trun cation, 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 un- der the truncated distribution. In our example, this is approximately equal to the ratio 100/95. The second adjustment process is to truncate the nor mal horizontally by raising the X-axis to X’ and elimi nating 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 func tion weighted more towards the tails, whereas horizon tal 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 distri bution of discards throughout the entire discard range. The above discussion detailed the variation in serv ice lives over the life of a single type of asset. This var iation 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 dis plays 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 17Fixed Capital, 1925-75. 18As derived from a table o f normal values. 19 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 fol low much of the terminology and examples used by Coen20and 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 peri od, 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 efficien cy 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 out put and consequently no decline in efficiency. At the same time, economic or market depreciation has oc curred, 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, econom ic depreciation has occurred due to both a decrease in Chart 3. Alternative discard functions for five assets with service lives ranging from 5 to 25 years Percent of assets available for production A ge of asset corresponding to the distribution of discards around the shortest and longest lived assets, respectively. Depreciation Function Concept of efficiency depreciation 19The term ‘one-hoss shay’ is derived from a poem written by Oliver Wendell Holmes entitled “The D eacon’s Masterpiece or, The Won derful ‘One-Hoss Shay’”. The portion concerning the shay’s depre ciation is reproduced here for the reader’s enjoyment. The previous discussion of the discard function as sumed 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 (es pecially equipment) do deteriorate over time and re quire 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 eco nomic or accounting forms of depreciation. For the purposes of this study, it was desirable to develop a measure of capital which accurately reflected the de cline in the ability of capital to produce goods and serv ices; i.e., depreciation defined as the decline in the po tential productivity or efficiency of capital. Other mod els 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 “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 m eet’n-house clock,— Just the hour o f 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, o f 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 o f D e preciation and Tax Policy”, American Economic Review, Mar. 1975, pp. 59-74. 21M. Feldstein and M. Rothschild, “Towards an Economic Theory o f Replacement Investment”, Econometrica, May 1974, pp. 393-425. 20 the remaining potential output of the bulb (500 hours) and a decrease in the efficiency of the bulb in provid ing the output. Thus, economic depreciation is a func tion 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 de terioration of the asset as it ages and the rate of tech nological obsolescence (the decrease in real resource cost per unit of output through the use of newer vin tages of the asset). Deterioration is defined as the in crease 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 de cline 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 de cay 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 in put and output decay on the productivity of the asset. In developing the capital stock series for productiv ity studies, we are interested in the potential produc tivity or efficiency of a group of capital assets in pro ducing a given output. These stocks are affected by both forms of deterioration, and the efficiency measure we develop should provide an index of how produc tive the capital is in one time period compared to an other. Our measure (expressed in dollars) is simply the amount of original capital goods available for produc tion in subsequent time periods. Throughout the re mainder 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 func tion 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 func tion, the decay function is used in the perpetual inven tory process to cumulate capital of different vintages into a capital stock estimate for a single year. One might note that the decay function develops es timates 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 (normal ized to 1) into many small service intervals, each hav ing a service life which may differ from the mean life. The discard function assumes that over the service in terval the efficiency of the capital good does not di minish. 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 de veloped based on an aggregation of individual decay functions for each service interval into a decay func tion for each asset type. This function is in turn weight ed by the asset weight and combined with other weight ed asset decay functions to derive the total decay func tion 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 capi tal stock series has arisen. There is no general consen sus 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 oc curs 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 guide lines and accounting principles. The second class of de preciation functions assumes that most of the depreci ation 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 deprecia tion 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 21 The problem now arises as to what value should be chosen for Beta to reflect the efficiency decay. Unfor tunately, there is very little empirical evidence to sug gest 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 ex pected value of the bulb in the absence of a discount rate was proportional to the number of years in serv ice or the straight-line rate. Thus, if we look at eco nomic depreciation, the maximum value of Beta is zero. However, if there is a discount rate and the future cap ital 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 (geometrical ly) on the future capital services. Thus, empirical evi dence 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 accord ingly. At some point, the expenditures for repairs are at such a level that many are foregone and the efficien cy of the auto declines until the point where the auto 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 depre ciation a years after the purchase date. This function is referred to as the Beta-decay func tion 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 as set 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 in creasing 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 depreci ation where the physical decay of the asset occurs in even increments over the life of the asset. Finally, if B is nega tive, 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 corre sponding 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 Efficien cy of productive assets Percent Index of maintenance and repair 22A second major justification is based on the work o f Dale Jorgen son in which he develops an explanation o f accelerated forms based on renewal theory. This particular concept and the resulting argu ments against its use are beyond the scope o f this publication. For an excellent discussion o f many o f these concepts, see Michael F. Mohr, Issues in the Theory and Measurement o f Capital Inputs in Pro duction (unpublished). 23 Some persons would suggest that the efficiency o f 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 o f the ini tial defects are adjusted. While it is certainly a valid point, it poses a problem in developing a uniform pattern o f depreciation o f all as sets and will be ignored in this study. A ge of asset 22 Table 6. Depreciation time paths based on alternative values of Beta for an asset with a 10-year service life Age ......................................................................... ......................................................................... ......................................................................... ....................................................................................... ........................................................................ ......................................................................... ......................................................................... ......................................................................... ......................................................................... B=.9 B=.75 98 .9 97 .5 9 5 .8 93.7 9 0 .9 86 .9 8 1 .0 7 1 .4 52.5 0. 97.2 94.1 90.3 85.7 8 0 .0 72.5 63.1 50.0 30.7 0. B=-1 B =-2 B=.9 B=.75 90. 80. 70. 60. 50. 40. 30. 20. 10. 0. 81.8 6 6 .6 53.8 42 .8 3 3 .3 2 5 .0 17.6 11.1 5.2 0. 75.0 57.1 43.7 3 3 .3 25 .0 18.1 12.5 7.6 3.5 0. 1.1 1.4 1.7 2.1 2.8 4 .0 5.9 9.6 18.9 52.5 2.8 2.8 3.8 4.6 5.7 7.5 9.4 13.1 19.3 30.7 B=0 10. 10. 10. 10 . 10. 10. 10 . 10. 10. 10. B=-1 B =-2 18.2 15.3 12.8 11.0 9.5 8.3 7.4 6.5 5.9 5.2 25.0 17.9 13.4 10.4 8.3 6.9 5.6 4.9 4.1 3.5 Two studies24 add evidence to suggest that firms at tempt 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 off set the decline in efficiency. These studies are incon sistent 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 ap plicable 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 re pairs to the structure exceeds the increased capital serv ices derived from the repairs, at which point the struc ture 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 oc curred 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 es timates. The service lives and weights used in this test correspond to the sample values used throughout this chapter. The capital expenditure series used was invest ment in equipment assets by all manufacturing indus tries 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. How ever, there is a remarkable similarity in the rate of 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 princi ples under which minor repairs are considered current expenses of the firm while major repairs are generally considered capital expenditures. The example of the au tomobile 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 lev el 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 as set becomes a function in part of the level of past and present maintenance and repair expenditures. In gener al, the higher the level of expenditures, the smaller the decline in productivity. A firm will engage in maintenance and repair activ ity 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 efficien cy 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 serv ices. 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 re flected in the efficiency with which the asset produces a given output. Percent annua! depreciation o n m 1 2 3 4 5 6 7 8 9 Percent o f initial efficiency (lena of year) 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 o f Expenditures in Capital Maintenance and Repair”, Journal o f Political Economy, Oct. 1976, pp. 917-36. 23 Table 7. Impact on capital stock estimates of changes in the value of Beta1 Beta coefficient 1 . 0 ......................................................... . 9 .......................................................... . 7 5 ....................................................... .5 ....................................................... . 2 5 ....................................................... . 1 .......................................................... 0 ............................................................ Capital stock (millions of dollars) 1947 1974 $ 2 0 ,8 0 4 18 ,600 17 ,103 15 ,592 14,577 14 ,0 9 6 1 3 ,813 $ 2 0 2 ,9 8 9 1 8 0 ,5 6 4 1 6 4 ,6 0 4 1 4 8 ,1 1 2 1 3 6 ,9 1 5 1 3 1,58 9 1 2 8 ,4 4 6 Chart 5. Alternative discard and decay functions for five assets with service lives ranging from 5 to 25 years G rowth rate2 Percent of assets available for production 7.9 7.8 7.7 7.6 7.6 7.5 7.5 'in v e s tm e n t data used in calculations are total manufacturing equipm ent purchases, 19 21-7 4. The asset bundle is assumed to be composed o f assets with service lives of 5, 10, 15, 2 0 , and 25 years, each constituting 20 percent of total investment. 1Based on least squares m ethod. 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 fluctu ations exist in the annual investment patterns, there may be a more pronounced effect on the growth of the cap ital 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 as sets in the investment bundle and the discard distribu tions around the mean service lives of the assets. Two A ge of investment bundle functions using the two assumed values of Beta are shown in chart 5 superimposed on the two previously illustrated discard functions. 24 Chapter 5. Capital Stocks for Major Sectors 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 serv ice 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. 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 as sumptions 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 defi nition 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 varia tion in the types of assets purchased from indus try to industry and the variation in the price changes of different types of capital assets. Capital stocks by major sector Tables 8 through 13 detail the level of gross invest ment and gross and net capital stocks for the three ma jor industrial sectors of the economy and the total pri vate sector. The data are divided into nonresidential structures and producers’ durable equipment and are expressed in both historical and constant dollars. Sim ilar data are presented in appendix C for 72 input-out put 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 yield ed 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 re sults in a BEA net stock series which is significantly lower than the data presented in this study. Gross capital stocks Gross stocks as described in chapter 4 are the cumu lation 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 produc tivity of the asset falls to zero and the asset is no long er counted as part of the gross stock. Net capital stocks Net capital stocks are the cumulation of all past in vestments adjusted for the discard of worn-out assets and the loss of efficiency (depreciation) of the assets 25 Table 8. Gross investment for major sectors: Historical dollars (M illions o f dollars) Producers' durable equipm ent Year 1947 .................................................. 1948 .................................................. 1949 .................................................. Nonresidential structures Agri culture M anu facturing N onm anu facturing Agri culture Total Manu facturing Nonm anu facturing $ 1 2 ,9 6 0 15 ,868 14 ,419 $ 4 ,1 9 5 4 ,5 0 8 3,6 6 6 $ 6 ,7 9 6 8 ,6 3 0 7 ,7 0 0 $1 ,9 6 8 2 ,7 29 3 ,0 52 $8 ,5 9 7 10,121 9 ,7 3 0 $ 2 ,427 2 ,2 4 3 1,728 $5 ,3 7 6 7 ,0 53 7 ,2 22 $ 7 93 825 780 Total 1 9 50 1951 1952 1953 1954 .................................................. .................................................. .................................................. .................................................. .................................................. 15 ,273 17 ,945 16 ,875 17 .845 18,348 3 ,8 4 3 5 ,2 82 5,3 17 5,5 15 5 ,7 35 8 ,3 3 8 9 ,5 4 3 8 ,8 2 2 9 ,2 4 7 9,951 3,091 3,1 1 9 2 ,7 3 6 3 ,0 8 2 2,661 10 ,5 5 0 12 ,465 12 ,625 1 3 ,8 0 9 1 4 ,3 0 0 1,575 2 ,6 93 2 ,6 9 2 2 ,6 05 2 ,4 82 8 ,1 9 0 8 ,9 3 3 9 ,0 2 2 1 0 ,3 84 11 ,047 784 838 90 9 819 77 0 1955 1956 1957 1958 1959 .................................................. .................................................. .................................................. .................................................. .................................................. 2 0 ,8 1 3 23 ,8 8 8 2 7 ,3 7 8 2 3 ,1 0 0 2 5 ,3 7 2 5,781 7 ,8 52 8 ,3 27 6 ,2 9 4 6 ,2 79 12 ,266 13,611 16,441 13 ,6 6 2 15 ,9 4 4 2 ,7 6 5 2 ,4 2 4 2,6 0 9 3 ,1 4 3 3 ,1 4 8 16 ,242 18 ,278 1 9 ,623 18,091 18 ,649 2 ,6 3 2 3,651 3,9 0 7 3 ,2 18 2,491 12,871 13 ,798 14 ,915 1 4 ,102 15 ,1 5 4 738 828 799 77 0 1,003 19 60 1961 1962 1963 19 64 .................................................. .................................................. .................................................. .................................................. .................................................. 26,881 26 ,833 2 9 ,772 3 0 ,9 2 6 36 ,858 7 ,2 3 2 6 ,9 8 6 7 ,6 68 8 ,3 7 4 9 ,9 6 4 16 ,9 8 2 16 ,8 7 9 19 ,256 18 ,7 3 5 2 3 ,1 5 2 2 ,6 67 2 ,9 6 8 2,8 47 3 ,8 1 6 3,741 1 9 ,6 6 0 2 0 ,0 3 3 2 1 ,3 3 4 2 1 ,5 2 3 2 4 ,0 3 8 2 ,8 5 0 2 ,8 0 0 2 ,8 0 8 3 ,0 5 2 3,3 87 15 ,9 1 8 16 ,317 17 ,5 1 5 17 ,4 6 5 1 9 ,6 4 3 891 915 1 ,0 10 1 ,0 06 1 ,0 0 6 19 65 1966 1967 1968 1969 .................................................. .................................................. .................................................. .................................................. .................................................. 4 1 ,9 8 2 4 9 ,4 5 3 4 9 ,9 2 6 5 6 ,533 6 1 ,6 4 3 1 2 ,375 1 4 ,9 1 0 15 ,689 15,231 1 6 ,3 8 0 2 5 ,3 3 0 2 9 ,6 9 3 2 9 ,1 6 6 3 6 ,1 8 2 3 9 ,9 3 0 4,2 7 7 4 ,8 49 5 ,0 7 0 5 ,1 19 5 ,3 32 2 8 ,0 7 4 3 1 ,2 9 5 3 1 ,2 8 0 3 3 ,4 7 8 3 7 ,7 6 7 4 ,4 6 3 5 ,4 05 5,841 5,407 5,9 52 2 2 ,5 4 6 2 4 ,7 2 5 2 4 ,0 5 0 2 6 ,6 8 8 30,431 1 ,0 64 1 ,1 64 1,389 1 ,3 82 1,383 1970 1971 1972 1973 19 74 .................................................. .................................................. .................................................. .................................................. .................................................. 59 ,6 3 3 61,301 69,961 8 4 ,697 9 5 ,9 6 7 16,271 15,477 18,706 20,957 27 ,3 3 7 3 7 ,4 5 2 4 0 ,3 4 8 4 4 ,8 5 3 5 5 ,4 5 0 58 ,8 6 7 5 ,9 09 5 ,4 74 6,401 8 ,2 8 9 9 ,7 6 2 39,971 4 1 ,5 1 2 4 5 ,0 6 4 5 4 ,1 6 4 57 ,7 6 9 5,8 19 5,3 86 5 ,3 1 4 5,9 99 8 ,2 12 32,491 3 4 ,4 5 7 38 ,2 3 3 4 5 ,9 2 4 4 6 ,7 4 8 1 ,6 6 0 1,6 68 1,5 16 2 ,2 4 0 2,8 08 26 Table 9. Gross investment for major sectors: Constant dollars (M illions of dollars) Nonresidential structures Producers' durable equipm ent Year Total 1947 .................................................. 1948 .................................................. 1949 .................................................. M anu facturing Non manu facturing Agri culture Total M anu facturing Nonm anu facturing Agri culture $26,621 30,011 26 ,1 6 7 $ 9 ,4 8 4 9 ,4 7 9 7 ,3 58 $ 1 2 ,8 6 6 1 5 ,1 9 0 1 3 ,166 $ 4 ,269 5,341 5,641 $ 1 9 ,5 1 4 2 0 ,7 1 0 20 ,1 3 7 $ 5 ,3 9 4 4 ,4 8 6 3 ,5 55 $ 1 2 ,3 4 8 14 ,573 1 4 ,982 $ 1 ,7 7 0 1,6 5 0 1,598 1950 1951 1952 1953 1954 .................................................. .................................................. .................................................. .................................................. .................................................. 2 6 ,9 2 3 2 9 ,1 7 0 2 7 ,0 6 6 2 8 ,1 7 6 2 8 ,0 7 4 7,4 87 9 ,2 5 3 9,151 9 ,3 1 9 9 ,4 7 6 13 ,866 14 ,665 13 ,479 13 ,876 14 ,366 5,569 5,251 4 ,4 3 4 4 ,9 7 9 4,231 2 1 ,6 6 5 22,811 22,531 2 4 ,2 4 8 2 5 ,6 1 3 3,281 4 ,9 8 6 4 ,8 08 4,651 4 ,5 1 5 16 ,7 5 0 1 6 ,283 1 6 ,099 18 ,139 19,687 1,633 1,540 1,623 1,457 1,4 10 1955 1956 1957 1958 1959 .................................................. .................................................. .................................................. .................................................. .................................................. 3 1 ,2 0 3 3 3 ,1 8 0 3 6 ,2 0 8 29 ,9 5 7 3 2 ,2 9 0 9 ,3 0 6 11,529 1 1 ,5 4 0 8 ,5 6 8 8 ,3 8 7 17 ,5 1 4 18 ,032 20 ,9 2 5 1 7 ,0 1 0 19 ,636 4 ,3 8 2 3 ,6 18 3,7 43 4 ,3 77 4 ,2 66 2 8 ,6 9 9 2 9 ,6 5 4 3 0 ,4 1 5 2 8 ,6 1 3 29,371 4 ,7 8 5 6 ,0 8 4 6 ,2 0 2 5,276 4 ,1 5 0 2 2 ,5 7 6 22,191 2 2 ,9 3 7 2 2 ,0 7 4 2 3 ,5 6 2 1,337 1,378 1,2 74 1,262 1,658 1 9 60 1961 1962 1963 19 64 .................................................. .................................................. .................................................. .................................................. .................................................. 3 3 ,8 3 4 3 3 ,7 2 8 3 7 ,3 2 3 3 8 ,6 9 2 4 5 ,7 5 8 9 ,4 5 8 9 ,1 0 9 9,9 67 10 ,7 8 2 1 2 ,7 0 0 2 0 ,8 0 4 2 0 ,6 8 7 2 3 ,6 1 9 2 2 ,9 4 6 2 8 ,2 4 8 3 ,5 7 0 3,931 3 ,7 3 6 4 ,9 6 2 4 ,8 0 9 3 1 ,0 7 0 3 1 ,9 8 0 3 3 ,8 7 9 3 3 ,8 5 4 3 7 ,2 7 8 4 ,7 5 0 4 ,6 6 7 4 ,6 0 4 4 ,9 2 2 5,3 76 24 ,8 3 9 2 5 ,7 9 2 2 7 ,6 1 6 2 7 ,3 0 8 3 0 ,3 0 9 1,4 80 1,5 20 1,659 1,623 1,592 1965 1966 1967 1968 1969 .................................................. .................................................. .................................................. .................................................. .................................................. 5 1 ,8 3 4 6 0 ,0 3 3 59 ,0 5 9 6 4 ,5 1 4 68,151 15,581 18 ,324 1 8 ,622 1 7 ,414 18 ,1 4 2 3 0 ,8 4 5 35,721 3 4 ,3 3 5 4 1 ,1 2 6 4 4 ,0 0 3 5,407 5,986 6,101 5,9 73 6 ,0 0 5 4 2 ,4 2 2 45,331 4 3 ,4 6 8 4 4 ,4 2 9 4 6 ,6 1 8 6 ,8 6 6 7 ,9 5 4 8 ,2 78 7,307 7,4 05 3 3 ,9 1 4 3 5 ,6 5 6 3 3 ,2 2 5 3 5 ,2 5 3 3 7 ,4 9 4 1,642 1,719 1,965 1,8 68 1,718 1970 1971 1972 1973 1974 .................................................. .................................................. .................................................. .................................................. .................................................. 63,601 6 2 ,7 5 4 69,961 8 3 ,0 7 8 8 6 ,7 3 3 17 ,265 15,767 18 ,706 2 0 ,4 5 4 24 ,2 9 7 3 9 ,9 3 3 4 1 ,1 1 3 4 4 ,8 5 3 5 4 ,5 1 3 53 ,9 5 3 6 ,4 0 2 5,873 6,401 8,111 8,481 4 5 ,3 7 3 4 3 ,8 6 3 4 5 ,0 6 4 5 0 ,2 3 7 4 4 ,8 1 3 6 ,6 1 3 5,6 69 5,314 5 ,5 55 6 ,4 16 36,871 3 6 ,4 3 0 3 8 ,2 3 3 42,601 3 6 ,2 0 7 1,889 1,763 1,516 2 ,0 8 0 2,1 89 27 Table 10. Gross stocks for major sectors: Historical dollars (M illions of dollars) Producers' durable equipm ent Year Total Manu facturing N onm anu facturing 1947 .................................................. 1948 .................................................. 1949 .................................................. $ 7 3,96 5 86 ,0 0 2 9 6 ,4 7 3 $20,351 2 4 ,0 3 2 26 ,8 5 2 $ 4 4 ,0 5 2 5 0 ,248 5 5 ,4 2 0 1 9 50 1951 1952 1953 19 54 .................................................. .................................................. .................................................. .................................................. .................................................. 107,619 121,149 133,127 14 5,37 6 15 7,29 5 2 9 ,8 1 3 3 4 ,1 4 9 3 8 ,4 1 9 4 2 ,7 4 8 4 7 ,1 3 9 19 55 1956 1957 1958 1959 .................................................. .................................................. .................................................. .................................................. .................................................. 17 0,77 4 18 6,39 8 20 4,62 8 2 1 7,73 2 23 2,28 2 1960 1961 1962 1963 1964 .................................................. .................................................. .................................................. .................................................. .................................................. 1965 1966 1967 1968 1969 1 9 70 1971 19 72 1973 1974 Nonresidential structures Agri culture Agri culture T ota I Manu facturing N onm anu facturing $9,561 1 1,721 14 ,2 0 0 $ 9 0,49 3 9 8 ,4 8 2 1 0 6 ,0 0 5 $19,991 2 1 ,6 3 8 2 2 ,7 5 3 $ 6 4 ,8 0 4 70,451 76,211 $5 ,697 6 ,3 9 2 7 ,0 4 0 6 1 ,0 9 7 67 ,787 7 3 ,4 4 8 79 ,1 1 5 8 5 ,013 16 ,708 19 ,213 2 1 ,2 5 9 2 3 ,5 1 2 2 5 ,1 4 2 1 1 4,27 4 12 4,39 2 1 3 4,60 5 14 5,937 1 5 7,70 2 2 3 ,7 0 2 2 5 ,7 5 9 2 7 ,8 1 0 2 9 ,7 7 3 3 1 ,6 1 7 8 2 ,8 8 2 9 0 ,2 4 2 9 7 ,6 3 3 1 0 6,32 2 11 5,61 3 7,6 89 8 ,3 9 0 9,161 9,841 10,471 51,401 5 7 ,5 4 7 6 3 ,9 6 3 6 8 ,1 2 0 71 ,996 9 2 ,7 3 2 10 1,28 7 11 2,18 6 11 9,82 6 12 9,28 2 2 6 ,6 4 0 2 7 ,5 6 3 2 8 ,4 7 8 2 9 ,7 8 4 3 1 ,0 0 3 17 1,35 4 186,986 2 0 3,91 5 2 1 9 ,2 6 8 2 3 5 ,1 3 0 3 3 ,6 1 5 3 6 ,6 3 9 3 9 ,9 3 2 4 2 ,5 5 2 4 4 ,4 6 2 12 6,66 9 1 3 8 ,5 9 0 15 1,56 6 16 3,66 7 1 7 6 ,7 5 4 11 ,069 1 1 ,757 12 ,416 13 ,047 13 ,9 1 3 247,421 26 1,45 5 2 7 7,23 2 29 2,87 8 3 1 3 ,1 6 4 7 6 ,513 80,431 84,651 89,191 9 4 ,9 4 6 1 3 9 ,2 3 0 14 8,41 9 1 5 9,22 3 16 8,68 7 1 8 1,75 4 31 ,6 7 7 3 2 ,6 0 4 33 ,3 5 7 3 4 ,9 9 9 3 6 ,4 6 3 2 5 1 ,9 3 4 269,021 2 8 7 ,2 9 8 305,621 3 2 6 ,2 8 4 4 6 ,7 3 7 4 8 ,9 5 9 5 1 ,1 8 0 5 3 ,6 2 6 5 6 ,3 8 4 19 0,52 7 2 0 4 ,6 0 9 2 1 9 ,7 8 6 2 3 4 ,7 8 4 2 5 1 ,8 1 0 1 4 ,6 7 0 1 5 ,452 1 6 ,3 3 2 1 7 ,2 1 0 18 ,089 .................................................. .................................................. .................................................. .................................................. .................................................. 3 3 7,24 7 3 6 7,49 9 39 6,90 3 4 3 1 ,5 1 3 469,721 1 0 2,75 0 11 2,75 2 1 2 3,21 2 1 3 2,88 4 1 4 3,36 3 19 6,15 6 2 1 4 ,0 7 6 2 3 0 ,5 7 8 2 5 3 ,1 3 2 2 7 8 ,3 8 4 3 8 ,3 3 9 4 0 ,6 6 9 4 3 ,1 1 2 4 5 ,4 9 6 4 7 ,9 7 3 350,771 3 7 8 ,2 2 5 4 0 5 ,3 8 0 4 3 4 ,4 2 3 467,421 60,181 6 4 ,8 6 8 6 9 ,9 3 0 74 ,4 8 5 7 9 ,5 0 4 2 7 1 ,5 6 2 293,291 3 1 4 ,1 2 7 3 3 7 ,3 6 9 3 6 4 ,1 0 9 19 ,0 2 7 2 0 ,0 6 4 2 1 ,3 2 2 2 2 ,5 6 8 23 ,807 .................................................. .................................................. .................................................. .................................................. .................................................. 5 0 4,24 5 5 3 8,53 3 5 7 9,33 9 6 3 2,49 8 6 9 4 ,2 3 5 1 5 3 ,3 6 5 16 2,15 9 17 3,73 6 1 8 7,08 8 2 0 6 ,2 9 2 2 9 9,99 8 3 2 3 ,1 9 7 3 4 9 ,4 0 2 3 8 4 ,5 0 2 4 2 1 ,0 4 5 50,881 53 ,1 7 6 5 6 ,2 0 0 6 0 ,9 0 7 66 ,897 50 2,26 2 5 3 8 ,2 5 3 5 7 7 ,3 8 2 6 2 5 ,1 7 8 6 7 6 ,1 2 6 8 4 ,2 9 2 8 8 ,5 3 3 9 2 ,5 7 7 9 7 ,1 7 9 1 0 3 ,8 6 3 3 9 2 ,6 5 4 4 2 2 ,8 9 9 4 5 6 ,6 4 5 4 9 7 ,7 9 3 5 3 9 ,4 5 8 2 5 ,3 1 5 2 6 ,8 2 0 2 8 ,1 5 9 30 ,2 0 6 3 2 ,8 0 3 28 Table 11. Gross stocks for major sectors: Constant dollars (M illions of dollars) Nonresidential structures Producers' durable equipm ent Year 1947 .................................................. 1948 .................................................. 1949 .................................................. Total Manu facturing $ 1 9 5 ,0 1 7 2 1 3 ,7 5 6 2 2 8 ,5 2 9 $ 5 4 ,6 4 2 61,541 66,291 Non manu facturing Agri culture Agri culture Total Manu facturing $ 1 1 5 ,4 2 0 1 2 3 ,5 6 0 1 2 9,57 2 $ 2 4 ,9 5 3 2 8 ,6 5 4 3 2 ,6 6 5 $ 3 7 4 ,3 4 7 3 8 3 ,9 3 6 3 9 2 ,7 9 3 $ 7 9 ,2 7 6 8 0 ,7 9 7 8 1 ,3 6 8 $269,461 2 7 6 ,8 0 4 2 8 4,40 6 $ 2 5 ,6 1 0 2 6 ,3 3 4 2 7 ,018 Nonm anu facturing 1 9 50 1951 1952 1953 1954 .................................................. .................................................. .................................................. .................................................. .................................................. 2 4 3 ,8 7 5 2 6 1 ,0 8 0 27 5,41 7 289,741 3 0 2 ,7 0 5 7 1 ,1 0 2 77,551 83,691 8 9 ,7 2 2 9 5 ,6 0 5 1 3 6,16 8 143,351 148,931 154,321 1 5 9 ,6 0 0 3 6 ,6 0 4 4 0 ,1 7 7 4 2 ,7 9 4 4 5 ,6 9 8 4 7 ,5 0 0 4 0 3 ,0 2 7 4 1 4 ,2 7 8 4 2 5 ,1 2 4 4 3 7 ,5 6 9 4 5 1 ,2 9 3 8 1 ,6 5 4 8 3 ,6 4 0 8 5 ,4 5 2 8 7 ,1 3 2 8 8 ,7 0 7 293,621 3 0 2 ,2 3 2 3 1 0 ,5 1 2 3 2 0 ,6 7 4 3 3 2 ,2 4 8 27,751 2 8 ,4 0 5 2 9 ,1 5 8 2 9 ,7 6 2 3 0 ,3 3 7 1955 1956 1957 1958 1959 .................................................. .................................................. .................................................. .................................................. .................................................. 3 1 7 ,5 3 8 3 3 3 ,1 2 8 3 5 0 ,6 6 8 3 6 0 ,9 8 5 3 7 2 ,7 3 2 10 1,00 3 1 0 8,30 4 115,281 1 1 8,93 4 121,991 1 6 7,47 5 17 5,32 7 18 5,58 6 1 9 1,46 6 19 9,55 5 4 9 ,0 5 9 4 9 ,4 9 6 4 9 ,7 9 9 5 0 ,5 8 4 5 1 ,1 8 6 46 8,03 1 4 8 5 ,6 6 7 5 0 4 ,0 6 3 5 2 0 ,6 9 4 5 3 8 ,1 2 4 9 0 ,5 8 2 9 3 ,7 9 4 9 7 ,1 8 4 9 9 ,7 2 2 101,211 3 4 6 ,5 8 9 3 6 0 ,4 3 2 3 7 4 ,9 3 9 388,521 4 0 3 ,5 3 6 3 0 ,8 5 8 3 1 ,4 4 0 3 1 ,9 4 0 3 2 ,4 4 9 3 3 ,377 19 60 1961 1962 1963 19 64 .................................................. .................................................. .................................................. .................................................. .................................................. 3 8 5,01 2 3 9 6 ,0 0 8 4 0 9 ,3 0 2 4 2 2 ,6 3 8 4 4 1 ,7 7 7 12 5,63 9 1 2 8,41 8 1 3 1,52 4 1 3 4 ,9 4 4 13 9,83 8 2 0 8 ,3 0 4 2 1 6 ,2 8 4 2 2 6 ,4 4 6 2 3 5 ,1 5 8 2 4 8 ,4 3 3 5 1 ,0 6 8 5 1 ,3 0 5 51,331 5 2 ,5 3 4 5 3 ,506 5 5 7 ,2 7 3 5 7 7 ,3 3 4 5 9 9 ,2 7 9 6 2 1 ,1 3 0 6 4 6 ,2 9 4 1 0 3,35 3 10 5,44 8 1 0 7,51 2 1 0 9 ,9 1 2 1 1 2,77 5 4 1 9 ,7 7 0 4 3 6 ,8 9 9 455,781 4 7 4 ,2 4 8 4 9 5 ,5 7 6 3 4 ,1 5 0 34 ,9 8 7 3 5 ,9 8 5 3 6 ,9 6 9 3 7 ,9 4 2 19 65 1966 1967 1968 1969 .................................................. .................................................. .................................................. .................................................. .................................................. 4 6 5 ,7 3 9 49 6,72 1 52 5,52 7 5 5 8 ,4 8 3 5 9 3 ,6 2 8 14 7,22 7 157,041 166,881 17 5,25 2 1 8 4 ,1 0 0 2 6 3 ,5 3 6 2 8 2 ,7 4 4 2 9 9 ,7 1 3 3 2 2 ,5 0 5 3 4 7 ,0 6 6 5 4 ,9 7 5 5 6 ,9 3 4 5 8 ,9 3 2 6 0 ,7 2 6 6 2 ,4 6 0 6 7 6 ,4 3 0 7 0 9 ,2 4 2 7 3 9 ,9 2 3 7 7 1 ,2 6 5 8 0 4 ,4 5 5 11 7,10 8 1 2 2,48 7 1 2 8,13 3 1 3 2,73 7 1 3 7 ,3 4 8 5 2 0 ,3 3 6 5 4 6 ,6 3 9 5 7 0 ,2 9 0 5 9 5 ,7 3 7 6 2 3 ,1 7 5 3 8 ,9 8 4 4 0 ,1 1 5 4 1 ,4 9 9 4 2 ,7 9 0 43,931 19 70 1971 1972 1973 1974 .................................................. .................................................. .................................................. .................................................. .................................................. 6 2 2 ,5 7 9 6 4 8 ,7 7 6 6 8 0 ,0 3 9 7 2 2 ,0 8 2 7 6 5,21 6 19 1,80 7 1 9 7 ,7 0 0 2 0 6,19 9 2 1 6 ,0 8 6 2 2 9 ,3 9 6 3 6 6 ,2 9 8 3 8 5 ,2 6 6 4 0 6 ,3 2 9 435,231 4 6 1 ,5 4 9 6 4 ,4 7 3 6 5 ,8 0 9 6 7 ,5 1 0 7 0 ,7 6 4 74 ,2 6 9 8 3 6 ,0 2 6 8 6 5 ,6 6 6 8 9 6 ,0 4 2 9 3 1 ,0 8 8 9 6 0 ,1 7 3 14 1,05 8 1 4 3,68 8 1 4 5,80 5 1 4 7 ,9 9 6 15 0,88 7 6 4 9 ,7 2 8 6 7 5 ,5 6 3 7 0 2 ,9 0 9 7 3 4 ,3 0 4 758,951 4 5 ,2 3 9 4 6 ,4 1 3 4 7 ,3 2 7 4 8 ,7 8 7 5 0 ,3 3 4 29 Table 12. Net stocks for major sectors: Historical dollars (M illions of dollars) Producers' durable equipm ent Year Nonresidential structures Agri culture Agri culture Total Manu facturing Non manu facturing $ 3 4,91 7 4 0 ,6 3 2 4 5 ,1 0 3 $ 7 ,6 3 4 9 ,7 0 6 12,017 $ 7 5,80 7 8 3 ,4 4 2 9 0 ,5 9 9 $ 1 5 ,1 8 6 1 6 ,7 8 3 1 7,8 49 $ 5 5 ,7 7 3 6 1 ,1 2 5 6 6 ,5 7 8 $ 4 ,8 4 6 5 ,5 33 6,171 25,161 2 8 ,8 9 9 32 ,4 4 9 3 5 ,9 5 9 3 9 ,4 3 9 49,861 5 5 ,3 9 2 5 9 ,687 6 3 ,8 9 7 6 8 ,2 9 6 14 ,249 1 6 ,354 1 7 ,8 8 0 19 ,537 2 0 ,5 4 5 9 8 ,4 9 5 1 0 8,22 2 1 1 8 ,0 1 0 1 2 8,87 9 1 4 0,12 6 1 8 ,7 5 0 2 0 ,7 6 0 2 2 ,7 5 0 2 4 ,6 3 0 2 6 ,3 6 5 7 2 ,9 3 2 7 9 ,9 5 8 8 6 ,9 9 6 9 5 ,3 1 7 1 0 4 ,2 1 2 6,811 7 ,5 0 3 8 ,2 6 3 8,931 9 ,5 4 8 13 8,64 6 151,087 16 5,99 5 17 5,51 4 186,231 4 2 ,6 9 9 4 7 ,7 5 2 52 ,9 4 7 5 5 ,7 4 6 5 8 ,1 8 9 7 4 ,4 8 9 8 1 ,4 6 6 9 0 ,6 9 7 9 6 ,4 8 3 1 0 3 ,8 9 4 2 1 ,4 5 8 2 1 ,8 6 8 2 2 ,3 5 0 2 3 ,2 8 4 2 4 ,1 4 7 1 5 3,19 6 1 6 8,16 5 18 4,31 4 1 9 8 ,7 4 2 2 1 3 ,5 2 4 2 8 ,2 2 5 3 1 ,0 7 5 3 4 ,1 3 9 3 6 ,4 6 0 3 8 ,0 0 0 1 1 4 ,8 4 0 12 6,28 7 1 3 8 ,7 3 2 1 5 0 ,2 3 0 16 2,63 2 10,131 1 0 ,8 0 2 1 1 ,4 4 2 12,051 1 2 ,8 9 0 .................................................. .................................................. .................................................. .................................................. .................................................. 19 7,26 4 206,981 2 1 8,36 6 2 2 9,58 5 2 4 5 ,4 4 2 6 1 ,2 3 6 6 3 ,6 7 2 6 6 ,4 5 0 6 9 ,6 0 4 74 ,0 2 7 1 1 1,56 5 11 8,28 7 126,531 1 3 3,34 5 14 3,70 7 2 4 ,4 6 2 25,021 2 5 ,3 8 4 2 6 ,6 3 6 2 7 ,7 0 7 2 2 9,08 7 2 4 4 ,7 6 0 2 6 1 ,4 3 9 2 7 7 ,9 7 6 2 9 6 ,6 6 4 3 9 ,8 4 2 4 1 ,5 6 8 4 3 ,2 2 9 4 5 ,0 5 6 47,131 1 7 5 ,6 3 0 1 8 8,83 3 2 0 3,01 7 2 1 6 ,9 0 5 2 3 2 ,7 0 4 1 3 ,6 1 4 1 4 ,3 5 8 15,191 1 6 ,0 1 4 1 6 ,8 2 8 1965 1966 1967 1968 1969 .................................................. .................................................. .................................................. .................................................. .................................................. 2 6 5 ,0 1 4 29 0,52 5 3 1 4 ,7 4 2 3 4 3 ,6 8 4 3 7 5 ,5 1 8 8 0 ,5 2 8 89,191 9 8 ,1 9 7 10 6,26 8 11 4,98 5 155,271 1 7 0 ,1 5 0 183,301 2 0 2 ,2 1 5 2 2 3,33 7 2 9 ,2 1 4 3 1 ,1 8 4 3 3 ,2 4 3 3 5 ,2 0 0 3 7 ,1 9 5 3 1 8 ,9 8 3 3 4 4 ,0 7 3 3 6 8 ,6 6 0 3 9 4 ,9 3 4 4 2 4 ,9 6 3 5 0 ,1 8 4 5 4 ,0 6 6 58 ,2 5 8 61,881 6 5 ,9 1 3 2 5 1 ,1 0 8 2 7 1 ,3 6 7 2 9 0 ,6 0 4 312,121 3 3 7 ,0 0 2 1 7 ,6 9 0 18,638 19 ,797 2 0 ,9 3 2 2 2 ,0 4 8 1970 1971 1972 1973 1974 .................................................. .................................................. .................................................. .................................................. .................................................. 4 0 2 ,8 0 5 4 2 9 ,1 3 7 4 6 1 ,2 9 0 5 0 4 ,9 9 4 5 5 6 ,3 2 8 1 2 3,02 5 1 2 9 ,6 6 8 1 3 8 ,9 2 4 149,721 16 6,11 7 240,211 2 5 8,18 6 278,651 3 0 7 ,4 6 4 3 3 7 ,1 0 4 3 9 ,5 6 8 4 1 ,2 8 3 4 3 ,7 1 4 4 7 ,8 0 9 5 3 ,1 0 6 4 5 6 ,6 2 7 4 8 9 ,2 4 0 5 2 4 ,7 9 8 568,821 6 1 5 ,7 5 9 69 ,6 6 7 7 2 ,8 4 3 7 5 ,8 0 8 7 9 ,3 2 2 8 4 ,9 0 7 3 6 3 ,5 3 9 391,621 4 2 3 ,0 3 6 4 6 1 ,6 6 9 5 0 0 ,6 1 0 2 3 ,4 1 9 2 4 ,7 7 5 2 5 ,9 5 3 2 7 ,8 2 8 30,241 Total Manu facturing Nonm anu facturing 19 47 .................................................. 1948 .................................................. 1949 .................................................. $5 9,38 2 70 ,587 79 ,8 0 9 $ 1 6 ,8 2 9 2 0 ,2 4 9 2 2 ,6 8 9 1 9 50 1951 1952 1953 1954 .................................................. .................................................. .................................................. .................................................. .................................................. 8 9 ,2 7 2 10 0,64 6 11 0,01 6 11 9,39 3 1 2 8,28 0 1955 1956 1957 1958 1959 .................................................. .................................................. .................................................. .................................................. .................................................. 1 9 60 1961 1962 1963 19 64 30 Table 13. Net stocks for major sectors: Constant dollars (M illions of dollars) Producers' durable equipm ent Year 1947 .................................................. 1948 .................................................. 1949 .................................................. Nonresidential structures N onm anu facturing Agri culture Agri culture Total Manu facturing $ 8 8 ,3 0 5 9 5 ,7 2 6 100,761 $ 1 9 ,4 6 6 23 ,0 1 7 2 6 ,7 2 9 $ 3 0 1 ,3 1 6 3 1 0 ,4 0 5 3 1 8 ,8 0 4 $56,701 5 8 ,3 1 8 5 9 ,009 $ 2 2 4 ,2 9 6 2 3 0 ,9 4 8 2 3 7,87 5 $ 2 0 ,2 1 7 2 1 ,138 2 1 ,919 Total M anu facturing Nonm anu facturing $1 51,691 1 6 9 ,0 3 6 18 1,76 7 $ 4 3 ,9 1 9 50,291 54 ,2 7 6 1950 1951 1952 1953 1954 .................................................. .................................................. .................................................. .................................................. .................................................. 19 4,38 2 2 0 8 ,1 3 6 2 1 8 ,4 7 2 2 2 8 ,6 3 0 2 3 7 ,4 3 0 58 ,1 1 9 6 3 ,4 0 9 6 8 ,2 1 3 7 2 ,7 9 3 77 ,1 3 4 1 0 6 ,0 9 0 111,691 1 1 5 ,5 0 0 11 9,14 4 1 2 2,75 6 30,1 72 3 3 ,0 3 4 34,7 58 3 6 ,6 9 2 3 7 ,5 3 9 32 8,63 1 339,511 3 5 0 ,0 1 6 3 6 2 ,1 5 3 3 7 5 ,5 7 5 5 9 ,4 4 0 6 1 ,5 9 8 6 3 ,5 8 5 6 5 ,4 2 3 67,131 2 4 6 ,4 4 0 2 5 4 ,4 1 2 262,081 2 7 1,68 2 2 8 2,72 9 2 2 ,7 4 9 23,501 24 ,3 4 9 25 ,047 2 5 ,7 1 3 1955 1956 1957 1958 1959 .................................................. .................................................. .................................................. .................................................. .................................................. 2 4 8,19 8 2 5 9 ,8 0 8 2 7 3 ,3 7 6 2 7 9,57 3 2 8 7,07 5 8 0 ,9 0 9 8 6 ,5 0 9 9 1 ,6 6 9 9 3 ,3 8 9 9 4 ,5 1 0 12 9,01 7 13 5,24 7 1 4 3,84 4 1 4 7 ,9 1 4 15 4,02 8 38,271 3 8 ,0 5 0 3 7 ,8 6 2 3 8 ,2 6 9 3 8 ,5 3 6 392,001 4 0 9 ,2 9 7 4 2 7 ,2 5 0 4 4 3 ,2 7 6 4 5 9 ,9 1 5 6 9 ,1 1 5 72 ,3 9 7 7 5 ,7 7 9 78,201 7 9 ,4 5 8 2 9 6 ,5 6 5 3 0 9 ,9 1 3 3 2 3 ,9 1 0 3 3 6 ,9 3 6 3 5 1 ,3 3 3 26,321 2 6 ,9 8 5 2 7 ,5 6 0 2 8 ,137 2 9 ,123 1 9 60 1961 1962 1963 1964 .................................................. .................................................. .................................................. .................................................. .................................................. 2 9 4 ,9 7 5 301,581 3 1 0 ,6 3 8 3 1 9 ,9 0 4 3 3 5 ,1 1 9 9 6 ,2 9 7 9 7 ,3 4 2 9 8 ,9 1 3 10 1,00 9 10 4,77 0 1 6 0 ,5 8 4 1 6 6,22 6 1 7 4 ,0 1 0 18 0,27 7 1 9 1,04 2 3 8 ,0 9 3 3 8 ,0 1 2 3 7 ,7 1 4 3 8 ,6 1 6 3 9 ,3 0 6 4 7 8 ,0 7 2 4 9 6 ,9 1 2 5 1 7 ,3 7 3 5 3 7 ,4 7 5 5 6 0,62 0- 8 1 ,2 6 8 8 2 ,9 3 6 84,471 8 6 ,2 4 5 88,381 3 6 6 ,8 6 2 3 8 3,16 8 4 0 1 ,0 8 4 4 1 8 ,4 3 5 4 3 8 ,4 9 9 2 9 ,9 4 0 30 ,8 0 7 31 ,8 1 7 3 2 ,7 9 4 3 3 ,7 3 8 1965 1966 1967 1968 1969 .................................................. .................................................. .................................................. .................................................. .................................................. 3 5 5 ,1 5 4 3 8 1 ,9 5 9 4 0 6 ,0 6 9 4 3 3 ,7 8 3 4 6 2 ,9 3 8 11 1,15 8 11 9,99 7 1 2 8,77 5 1 3 5,95 2 14 3,44 6 2 0 3 ,4 5 2 2 1 9 ,6 6 8 2 3 3 ,2 2 6 25 2,23 3 272,471 4 0 ,5 4 2 4 2 ,2 9 3 4 4 ,067 4 5 ,5 9 7 4 7 ,0 2 0 5 8 8 ,4 6 6 6 1 8 ,7 1 7 6 4 6 ,5 5 7 6 7 4 ,7 8 3 7 0 4 ,6 0 2 9 1 ,8 9 9 9 6 ,3 7 7 1 0 1 ,0 3 2 104,561 1 0 8,03 7 4 6 1 ,8 3 8 4 8 6,55 7 5 0 8 ,4 5 5 5 3 1 ,9 8 3 5 5 7,32 7 34 ,727 3 5 ,7 8 2 37 ,0 6 8 38 ,238 39 ,237 1 9 70 1971 1972 1973 1974 .................................................. .................................................. .................................................. .................................................. .................................................. 4 8 5 ,0 5 0 5 0 3,82 7 5 2 7 ,2 3 2 5 6 0 ,9 6 6 5 9 5 ,2 7 4 1 4 9,58 8 1 5 3,73 6 16 0,32 9 1 6 8 ,0 9 2 17 9,06 9 2 8 6 ,7 8 0 300,451 3 1 5 ,9 2 8 3 3 8 ,9 9 9 3 5 9 ,2 3 4 48,681 4 9 ,639 5 0 ,9 7 3 5 3 ,8 7 4 5 6 ,9 7 0 7 3 2 ,5 4 8 7 5 8 ,3 4 5 7 8 4,69 9 8 1 5 ,5 6 3 8 4 0 ,3 0 7 1 1 0 ,5 6 4 1 1 2 ,0 0 0 11 2,94 7 1 1 4,00 9 1 1 5,81 2 5 8 1 ,6 0 2 6 0 4 ,9 7 4 6 2 9 ,6 7 2 6 5 8 ,2 3 2 679,861 4 0 ,3 8 0 4 1 ,3 6 9 4 2 ,0 8 0 4 3 ,3 2 0 4 4 ,6 3 3 31 Chart 6. Comparison of BLS and BEA gross capital stock estimates, 1947-74 B illio n s of 1972 dollars 32 Appendix A. Adjustments to Investment Data 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 Cen sus of Mineral Industries for that year and 1962 was estimated as the midpoint between the 1961 values (ad justed 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 an nual production of mining equipment. This series was converted to an index (1935=100) and used to distrib ute the 1935 investment value to earlier years. One fi nal adjustment was required to the stone and clay min ing industry (I/O sector 9) and the chemical and ferti lizer mineral mining industry (I/O sector 10). IRS clas sified 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 cate gories was related to total investment in a sector in the same ratio as production of the specific mineral to to tal 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 sec tor 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 se ries 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 in vestment controls from the Census of Mineral Indus tries 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. This appendix contains a more thorough description of the derivation of selected investment series, particu larly 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 de veloped from IRS data with which to scale the BEA expenditure series upward. Separate industry invest ment series for these industries are only available from the IRS data for the years 1964-72. The investment se ries derived for this time period were adjusted to in clude the noncorporate sector using the ratio of cor porate to noncorporate business receipts. Annual ratios were then developed based on the sum of investment in the three missing industries to total agriculture in vestment 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 33 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 interpola tions 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 “com mercial 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 struc tures and equipment based on unpublished Plant and Equipment Survey proportions for years prior to 1967 and the 1972 census proportions for 1967 and beyond. Data for 1974 were not available from IRS at the time of this study. Expenditures for this year were es timated 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 miner al exploration and development exclusive of land ac quisition 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 availa ble 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 indus try were initially developed using the procedure out lined above. However, the IRS series was found to fluc tuate greatly, probably because the series is based on a company classification system. Since companies in this highly integrated industry may vary their primary ac tivity from year to year, in one year emphasizing ex traction and in another refining, and since the IRS clas sification is based on the primary activity in a given year, the level of depreciable assets of the industry fluc tuates 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 avail able 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 inter vening years. The benchmark process also broke the total investment figure into the plant and equipment parts. The final adjustment was to increase the struc tures component to include the NIPA oil and gas well drilling exploration series. 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 fi nal total investment series. This coverage adjustment was always less than 5 percent. This series was broken into plant and equipment shares according to the rela tive shares of annual expenditures for additions and bet terments 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, con sequently, was included with the railroad transporta tion mode. Data on the number of freight cars pur chased by nonrailroad companies by type - hopper, tank car and other - were obtained from the American Rail way 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 deriv ing this investment was the same as that for freight cars: Construction Investment expenditures by the construction indus try 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 devel oped 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 pri or 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 Melville J. Ulmer, Capital in Transportation, Communica tion, and Public Utilities (Princeton University Press, National Bureau o f Economic Research, 1960). 34 The number of Pullman cars shipped was obtained from the American Railway Car Institute and the price weights from Transport Statistics. Due to data limita tions, it was possible to include only the equipment por tion of leased property. derive ratios of investment in structures and other equip ment to investment in revenue equipment to be used when ICC data were not available. The revenue equip ment estimates were derived by multiplying the num ber of new units purchased by the average cost per bus. The cost per bus and the structures and other equip ment 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 av erage 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 infor mation 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 invest ment to buses were developed and used to obtain the investment in these categories based on the previously calculated investment in buses. Finally, all these previ ously described data were used in the following man ner 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 to tal 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 invest ments were derived based on the ratios of these invest ments to bus investment. 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 in come reports for the trucking and warehousing indus try. The IRS data were adjusted to include the noncor porate 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 invest ment 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. Capi tal expenditures in 1974 were estimated based on the change from 1973 in structures and equipment invest ment 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 compa nies. 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 invest ment in structures and other equipment. The two basic limitations of these data are that they present only par tial 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 rela tionships from less reliable data, as explained below. The only other relevant data available were the pro duction and factory sales of buses by bus type. These two series are: 1) Automobile Manufacturers Associa tion (AMA) data on domestic factory sales of buses by bus type (intercity, local, special, and school bus chas sis), 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 Oil pipelines. The most reliable investment series avail able was the capital and exploration expenditures series for pipelines in the United States published by the Chase Manhattan Bank in Capital Investments o f 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 inter state carriers for the period 1955-62. For the years pri or 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, 35 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 intra state carriers. During World War II, the government constructed six oil-carrying pipelines which were later sold as sur plus. The two largest lines-the ‘Big Inch’ and the ‘Lit tle 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 pur pose of oil transmission. This total is reflected in the investment series. ived 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 adjust ment was made to the series to exclude fishing vessels and business vessels used for entertainment purposes. These vessels were assumed to represent a constant per centage of PCE for pleasure boats, estimated from un published 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 infor mation 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. Domestic and international air transportation. The in vestment series for equipment includes both flight equip ment, derived from BEA’s producers’ durable equip ment (PDE) series, and ground equipment, estimated from balance sheet data in the Handbook o f Airline Sta tistics 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 sur plus 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 air craft. Total general aviation sales of aircraft were esti mated from the value of shipments data, exports and imports of general aviation aircraft. An additional ad justment to the total flight equipment investment series was made to remove the general aviation share of ex ports of used aircraft (actually to ‘add’ the general avi ation 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 rel ative shares of CAB domestic and international air car riers. 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 equip ment and structures was calculated from the CAB bal ance sheet. The series was broken down between the two categories according to a constant factor based on unpublished CAB data. The ground equipment invest ment estimates for domestic and international carriers were added to the respective flight equipment series to derive the total equipment series. Local bus transportation. The local bus industry, as de fined in this study, consists of the bus operations of all local transit and sightseeing and charter companies, both privately and publicly owned. Separate investment es timates 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 pe riod 1940-74, the basic data came from the American Transit Association (ATA) and the ICC. For the peri od 1910-40, the estimates were closely tied to those of Ulmer. The ICC data from Transport Statistics of the United States and Statistics o f 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 lo cal bus, and (2) estimated ratios of investment in struc tures 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 multi plied 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 Water transportation. Investment in revenue equipment for both domestic and overseas transportation was der 36 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 com ponents, 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 infor mation 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 Vehi cle Facts and Figures of the Motor Vehicle Manufac turers Association. The average ratio was based on data from a study by the International Taxicab Association entitled An Analysis of Taxicab Operating Characteris tics, August 1975. This study estimated the total num ber of taxis in use in 1973; the ratio of this estimate to the number of taxis in fleets was used to derive the en tire series. The average price of a taxi in 1970 was es timated 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 us ing capital consumption allowance weights from the BEA Gross Product Originating data. It was not pos sible to derive consistent IRS data for the pre-1947 pe riod. Therefore, the average expenditures of the trans portation 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 invest ment, 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 o f Communications Common Car riers, which provided separate statistics on the capital expenditures of the telephone and telegraph industries. Data prior to 1951 were taken from the telephone in vestment 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 us ing Ulmer’s methods and sources, with the telegraph supplement from the FCC. The investment series was benchmarked to the in vestment totals in the 1958, 1963, and 1967 capital trans actions 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 con struction as reported in the Construction Review and de riving the equipment series as a residual. Radio and TV Annual total investment expenditures for the broad casting 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 con stant 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 Sur vey 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 Sta tistics 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 37 responding benchmark ratios for these years were low er: 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 or der to maintain continuity in the two indexes. An important part of retail trade, the investment ex penditures 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 ex penditure series on marketing by the petroleum indus try was obtained from the Chase Manhattan Bank pub lication, Capital Investments of the World Petroleum In dustry. From this total marketing figure, investment ex penditures by independent service station operators were subtracted to obtain the investment series for gas oline stations owned by the petroleum companies. This figure was then added to the previously calculated cen sus-based investment series to derive the final total in vestment series. This series was then broken into plant and equipment components based on proportions of these assets in the four census years. to the Construction Review) and the January issues of the Construction Review for 1965-74. Structures for wa ter and sanitary services were estimated based on a con stant proportion for this industry derived from the Life of Depreciable Assets Survey. Capital expenditures for equipment were then calculated as the difference be tween total investment and structures investment. Wholesale trade The investment series for wholesale trade was initial ly 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 whole sale trade establishments. Plant investment was adjust ed by the ratio of inventories of all wholesale trade es tablishments to the inventories of merchant wholesalers and equipment investment was adjusted using the pro portion 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 bench mark 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 in vestment as described below. 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 fi nance 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. 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 cal culated based on the construction of stores, mercantile buildings, and garages for 1958-74 and on the construc tion of office and other commercial buildings for 194757. 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 val ues were quite similar in 1958; the census total invest ment figure was $2,647 billion and the BEA figure was $2,748 billion, and it was assumed that this close rela tionship 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 cor Real estate Total investment in the real estate industry is deri ved from IRS data and the Construction Review. Invest ment in this industry is defined as the purchase of build ings 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 in clude the purchase of buildings used for residential pur poses 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 ad justments were required to: (1) eliminate the residential portion and (2) include the noncorporate sector. The residential investment was eliminated in a two-step pro cedure. 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 to tal corporate share of residential investment was devel oped, assuming that one-half of total investment in mul 38 tifamily dwellings and nonhousekeeping units was pur chased by corporations. It was then assumed that only a fixed proportion of the corporate residential invest ment 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 in dustry. 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 noncor porate depreciation to corporate depreciation. The re sulting investment time series proved to be quite errat ic for several years. Therefore, it was smoothed over the entire period using the series “nonresidential build ings: 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 deri ved 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 197374 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 struc tures and equipment based on the proportions from the Life of Depreciable Assets Survey. 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 compo nent parts based on the Life of Depreciable Assets Sur vey 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 ex penditure data were calculated based on the growth rate of commercial and other construction found in the Plant and Equipment Expenditures Survey. The invest ment 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 ex penditure data were calculated based on the growth rate of commercial and other construction found in the Plant and Equipment Expenditures Survey. The invest ment series was then broken down into component parts based on the Life of Depreciable Assets Survey Proportions. Medical and educational services and nonprofit organizations Hotels and personal and miscellaneous repair services The investment series for medical and educational services and nonprofit organizations was based on ag gregated 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 trans actions matrices. The gross investment series for each component of this sector was developed from IRS sources and ad justed to exclude capital gains and to include the non corporate 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 Construc tion 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 se ries was then calculated as the difference between to tal and structures investment. Business services 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 Govern ment. 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 ap pear in the capital stock estimates derived from private investment flows. 39 The great majority of government investments oc curred during World War II and the period immedi ately thereafter. Many of these assets were used from the time of their purchase by private firms which con tracted to produce goods and services for the govern ment. Following the war, these assets were generally either sold to the private sector, placed in the national industrial reserve, scrapped, or retained by the govern ment for continued use by firms producing goods and services for the government. It is only those capital goods which remained in pro duction which are of interest to this study. Of the two types of capital goods remaining in use, only those as sets which were sold are identified in the capital stock data. The stock of capital assets owned by the govern ment but used by private firms is not identified, primar ily 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 invest ments 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 pro duction activity which uses government-owned facili ties. 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 be tween output and capital stock will be somewhat ten uous, which may yield distorted results when compar ing the capital inputs to output measures. As noted above, government purchases of capital as sets 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 follow ing World War II which were later sold were gener ally concentrated in the aircraft and missile industries. Data on the cost of these assets and the industries pur chasing 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 in cluded at the time of their transfer and should be val ued at their sales price. The second argument is that assets should be transferred at the time of their pur chase and at their original acquisition cost. The latter argument is the one adopted by this study, for two rea sons. First, the cost of assets at the time of their trans fer may not accurately reflect the actual productive ness of the assets. Second, in many cases, the compa nies 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 iden tifying government purchases of capital assets during the wartime years and the industries which later pur chased 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 as sets 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 dif ficult to identify since only a total value was available. Thus, investment had to be allocated to the proper pur chasing 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 gen eral industrial machinery identified in the 1958 capital flow matrix. Once the investment series was developed, capital stock estimates were derived using procedures identi cal to those used to prepare the private sector capital stock estimates. The resulting estimates are not present ed in this bulletin but are available from BLS upon re quest. For more information concerning the develop ment of the investment data, see Development o f Capi tal 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 Appendix B. Mathematical Description of the Model 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 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 effi ciency 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 invest ment less the discards and depreciation of currently held assets. This value may be expressed by (1) 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 deprecia tion). 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 ^ ^ Iv R fv 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: 0<=a<A a>=A tion 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) 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. .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 differ ences, maintenance schedules, etc. For each type of capital good there exists some mean service life A around which is 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 A~a A-Ba 0 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 propor Kt = Kt_ , + I t - D t (2) R(a)= 41 where X is a standard normal variable. The adjusted normal distribution then becomes Chart B-1. Decay functions accounting for variation in actual service lives 1 Efficien cy e —(A-A)2/ 2c;2 y/2ito P(A) = (7) r b /o f J-8/o X2 -7 = * ~ e -(A -A ) 2 I2 ° 2 o r 8,° e - X ? 2/2 d x J - 6 lo 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: 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 )2/2 o 2 (8) 0= . - L - e-(A+5-A)2/2g2 = — !— e —(l/2)(5/ff)2 \/27r a This is a continuous function in which, for any value of A, there exists a non-zero density and, for the neighbor hood 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 trunca tion, the value of E is simply the area under the normal curve between the cutoff points. 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 be comes i __ _ -(A —A)2/ 2< ^ ____ L ( 9 ) P(A)= \/27r o .5 l o - '—ft/a y/Tn - ( l / 2)( 5/cr)2 \J l7r a 25 —(l/2 )(6 /a )2 \f2/n o 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 42 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. 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 Substitution of A+5 for b A~5 for c 25 for b~c yields A+5 s~ A+5 (10) R (a| A,5, o, B) = / A-5 ( 1 1 ') D(a| A, B)P(A | A, CT,5) dA l +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 identi cal 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 fre quency of occurrence for each of the 11 asset service lives determined. Given our assumptions concerning the distribu- 2f(c + 2 it £ ) i=l +^ 4 f ( c + ( 3 i - 2 ) t i ) i=l Chart B-2. Calculation of integral using Simpson’s approximation 2 r ( a - 5 + 2i 5_ n n n—1 c R(A-S) + R(A+5) 3i 1 f(x)dx = b—c f(c) + f(b) 6n +£ R <a > - L 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 re quires 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 / b 43 Table B-1. Derivation of the frequency distribution of discards for an asset with a 10-year service life Segment boundary fo r asset service lives (years) Frequency of service l i f e ................................... W eight fo r Simpson's a p p r o x im a tio n ............ Weighted fre q u e n c y .......... Actual fre q u e n c y ............... 7 5 6 .0 2 2 6 2 .04 6 4 8 1 .0 2 2 6 2 .0 0 7 5 4 4 .1 8 5 9 2 .06 197 8 9 .0 8 1 3 7 .1 2 1 3 9 .15431 .1 6 7 1 7 .15431 .1 2 9 3 9 .0 8 1 3 7 .0 4 6 4 8 .0 2 2 6 2 2 .1 6 2 7 4 .0 5 4 2 5 4 .4 8 5 5 6 .1 6 1 8 5 2 .3 0 8 6 2 .1 0 2 8 7 4 .6 6 8 6 8 .2 2 2 8 9 2 .3 0 8 6 2 .1 0 2 8 7 4 .4 8 5 5 6 .1 6 1 8 5 2 .1 6 2 7 4 .0 5 4 2 5 4 .1 8 5 9 2 .06 197 1 .0 2 2 6 2 .0 0 7 5 4 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 calcula tions, 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 fro m (ll')an d 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] 12 13 14 15 ( 12) 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 11 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 calcula tions, 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. 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') 10 k=l where I^/Iy is determined from the relative shares of each capital good to total investment in 1963 and 1967. (13) lk _ rT Ik, 1963 + l k , 1967 1963 + l T , 1967 lT, 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 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) 1 2 3 4 5 6 7 8 9 1 0 11 1 2 1 3 1 4 1 5 .................. .................. .................. .................. .................. .................. .................. .................. .................. .................. .................. .................. .................. .................. .................. Decay of assets w ith service lives (years) of — 5 6 7 8 9 10 .94 12 .8571 .72 73 .5 0 0 0 0 .95 42 .88 89 .80 00 .66 67 .44 44 0 .9 6 0 0 .9091 .8421 .7 5 0 0 .61 54 .40 00 0 .9 6 5 5 .9 2 3 0 .86 95 .8 0 0 0 .70 5 8 .5 7 1 4 .3636 0 .96 96 .93 3 3 .88 8 8 .83 3 3 .7 6 1 9 .6 6 6 6 .53 3 3 .33 33 0 .97 29 .9411 .9 0 3 2 .8571 .80 00 .72 72 .63 1 5 .5 0 0 0 .30 7 6 0 .97 56 .94 73 .91 4 2 .87 50 .82 75 .76 9 2 .69 56 .6 0 0 0 .47 05 .25 87 0 12 13 14 15 .97 77 .95 23 .9 2 3 0 .8 8 8 8 .84 84 .80 00 .74 07 .66 66 .57 1 4 .4 4 4 4 .26 66 0 .97 95 .95 65 .93 02 .9 0 0 0 .86 48 .82 35 .7741 .71 42 .6 4 0 0 .5 4 5 4 .4 2 1 0 .2 5 0 0 0 .9811 .96 00 .9361 .90 90 .8 7 8 0 .8421 .80 00 .7 5 0 0 .6896 .61 53 .52 17 .40 00 .23 52 0 .98 24 .96 29 .9411 .91 66 .88 88 .8571 .82 05 .77 77 .7 2 7 2 .66 66 .5 9 2 5 .5 0 0 0 .38 0 9 .22 22 0 .971 1 .93 64 .8941 .82 90 .76 23 .65 68 .54 36 .40 65 .29 23 .17 12 .10 28 .04 22 .0 1 7 5 .00 16 0 numbered segment boundaries and 2 for odd num bered 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 deter mined in (e) by the corresponding weights deter mined 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. 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 11 Replacem ent function 3. For each replacement function calculated in (2) above, a. Multiply the function by the proportion of invest ment composed of that type of good. b. Sum the weighted replacement functions to derive the aggregate industry replacement function. 45 Appendix C. Tables of investment and capital stocks for input-output industries, 1947-74 Sectors 1 - 4. Agriculture: Historical dollars (Millions of dollars) — G ross in v e s tm e n t Gross s to c k s Net s to c k s Year r T o ta l 1 9 4 7 _____ 1 9 4 3 _____ 1 9 4 9 _____ Equ i p m e n t $2,762 5,5 5 5 3,8 3 3 $1,958 2,729 3,052 1 9 5 0 _____ 1 9 5 1 _____ 1 9 5 2 _____ 1 9 5 3 _____ 1 9 5 4 _____ 3 3 3 3 3 1 9 5 5 _____ 1 9 5 5 _____ 1 5 5 7 _____ 1958. . . . 1 9 5 9 _____ 3,504 3,253 3,409 3 , 9 14 4 , 152 2,765 2,424 2,609 3 , 143 3,148 I 9 6 0 _____ 1 9 6 1 _____ 1962. .. . 1 9 6 5 _____ 1 9 6 4 _____ 3 3 3 4 4 ,5 ,8 ,8 ,3 ,7 5 8 5 2 4 9 4 8 3 3 1 9 6 5 .... 1966 . . . . 1 9 6 7 _____ 1 6 6 3 _____ 1 9 6 9 _____ 5 6 6 6 6 ,3 ,0 ,4 ,5 ,7 4 1 6 0 1 2 4 0 2 6 1 9 7 0 _____ 1 9 7 1 .... 1 9 7 2 _____ 1 9 7 3 _____ 1 9 7 4 _____ ,8 ,9 ,6 ,9 ,4 S tr u c tu re s 3 3 2 3 2 76 58 46 02 32 7,570 7,143 7 , 9 18 10,530 12,571 $793 825 780 ,091 ,119 ,756 ,082 ,66 1 $ 15,258 1 8 , 114 21,240 S tr u c tu r e s T o ta l I $9,561 11,721 14,200 $5,697 6,392 7,040 $12,431 15,239 18,188 I | I | $7,634 9,706 12,017 21,060 23,857 26,143 2 3,468 30,093 I I | | | 14,249 16,354 17,880 19,537 2 0,545 69 57 16 47 13 3 3 3 3 3 1 2 3 5 7 9 0 3 6 5 I | I I | 2 2 2 2 2 1,458 1,868 2,350 3,284 4,147 1 1 1 1 1 14,670 15,452 16,332 17,210 18,039 3 3 4 4 4 8,0 9,3 0,5 2,6 4,5 77 79 75 50 35 I I I I | 2 2 2 2 2 4 5 5 6 7 13,6 14,3 15,1 16,0 16,8 7 4 2 8 7 4 4 5 5 5 6 9 3 6 9 9 8 0 1 £ 0 2 4 3 4 4 2 1 2 3 | I | I | 2 3 3 3 3 9,214 1 , 1S 4 3,243 5,200 7,195 17,690 18,638 19,797 20,932 22,048 5,315 6,820 8 , 159 0,206 2,833 6 6 6 7 S 2,5 6,0 9,5 5,6 3,3 3 5 6 3 4 8 8 8 8 7 I I I I | 3 4 4 4 5 9,568 1,283 3,714 7,309 3,106 2 2 2 2 3 9 0 2 5 1 7 3 1 3 4 16,708 19,213 21,259 23,512 2 5 , 142 7,68 8,39 9,16 9,84 10/47 738 828 799 770 1,003 5 3 4 4 4 7 9 0 2 4 ,7 ,3 ,8 ,8 ,9 2 9 3 1 10 0 4 2 7 2 2 2 2 3 6 7 8 9 1 ,6 ,5 ,4 ,7 ,0 4 6 7 8 0 1 1 1 1 1 2,667 2,968 2.847 3 , 8 16 3,741 391 9 15 1 , 0 10 1,006 1, 0 C6 4 4 4 5 5 6 8 9 2 4 ,3 ,0 ,6 ,2 ,5 47 56 89 09 52 3 3 3 3 3 1 2 3 4 6 ,6 ,6 ,3 ,9 ,4 77 04 57 99 63 4 4 5 5 5 1 1 1 1 1 5 6 6 6 7 7 0 4 3 1 ,367 ,733 ,435 ,064 ,781 3 4 4 4 4 8,339 0,669 3,112 5,496 7,973 19,02 20,06 21,32 22,56 23,80 5 5 5 6 6 0 3 6 0 6 2 2 2 3 3 7 4 7 1 3 7 9 0 9 2 5,909 5,474 6,40 1 8,289 9,762-, _______ Equ i p m a n t 24,3 27,6 30,4 33,3 35,6 ,2 ,8 ,0 ,1 ,3 7 84 8 38 909 8 19 770 T c ta l ,0 ,1 ,3 ,3 ,3 6 6 8 8 8 4 4 9 2 3 1,660 1,668 1,516 2,2 4C 2,808 76,1 79,9 84,3 91,1 99,7 96 96 59 13 01 ,8 ,1 ,2 ,9 ,3 0 3 8 4 3 8 7 0 0 9 1 6 0 7 7 _________ 1 1 2 3 3 ,0 ,7 ,4 ,0 ,9 9 0 1 1 1 ,5 ,6 ,7 ,3 ,0 , , , , , 8 7 9 3 3 Equi pment ,4 ,0 ,3 ,6 ,7 62 21 84 36 07 S tr u c tu r e s $4,845 5,533 6,171 6,311 7,503 8,263 8 ,9 3 1 9,545 0 0 1 2 2 3 4 5 7 0 ,131 ,802 ,442 ,051 ,890 , , , , , 4 7 9 3 2 14 53 91 14 28 1 7 5 2 4 9 5 3 3 1 Sectors 1 - 4. Agriculture: Constant dollars (Millions of 1972 dollars) G ross in v e s tm e n t G ross s tock s Net s to c k Year 1 | T o ta l r Equi pment ________________ | _ 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ $6,043 6,991 7,240 I | | $4,269 5,34 1 5,641 S tr u c tu r e s T o ta l E qu ip m e nt 1 9 5 0 _____ 1 9 5 1 .... 1 9 5 2 _____ 1 9 5 3 _____ 1 9 5 4 _____ 7 6 6 6 5 ,2 ,7 ,0 ,4 ,6 0 3 92 53 37 41 | ! | | | j 5 5 4 4 4 ,569 ,251 ,434 ,979 ,231 1,633 1,540 1,623 1,457 1,410 6 6 7 7 7 56 83 53 60 57 | | I | | 3 4 4 4 4 6 0 2 5 7 ,6 ,1 ,7 ,6 ,5 04 77 94 98 00 1955 1956 1957 1958 1959 _____ --------_____ _____ _____ 5 4 5 5 5 ,719 ,996 ,018 ,640 ,9 2 4 | I I 1 | 4 3 3 4 4 ,3 ,6 ,7 ,3 ,2 82 18 43 77 66 1,337 1,373 1,274 1,262 1,658 79,918 80,937 81,739 83,033 54,563 | | | | | 4 4 4 5 5 9 9 9 0 1 ,0 ,4 ,7 ,5 ,1 59 96 99 84 86 1 9 6 0 _____ 1 9 6 1 _____ 1 9 6 2 _____ 1 9 6 3 _____ 1 9 6 4 _____ 5 5 5 6 6 ,051 ,452 ,395 ,585 ,4 0 1 ! I | I | 3 3 3 4 4 ,5 ,9 ,7 ,9 ,8 70 31 36 62 09 1,480 1,520 1,659 1,623 1,592 85,2 86,2 87,3 89,5 91,4 9 2 7 3 5 | | | | | 5 5 5 5 5 1 1 1 2 3 ,0 ,3 ,3 ,5 ,5 68 05 31 34 06 1965 1966 1957 1968 1969 7 7 8 7 7 ,0 ,7 ,0 ,8 ,7 0 6 6 1 3 j I | | | j 5 5 6 5 6 ,4 ,9 ,1 ,9 ,0 0 8 0 7 0 1,642 1,719 1, 9 6 5 1,868 1 , 7 18 93,960 97,050 100,431 103,516 106,392 | | I I I 5 5 5 6 6 4 6 8 0 2 ,9 ,9 ,9 ,7 ,4 7 3 3 2 6 5 4 2 6 0 8,291 7,637 7,918 10,191 10,670 | | I | | 6,402 5,873 6,40 1 8,111 8,481 1 1 1 1 1 | | | I 6 6 6 7 7 4 5 7 0 4 ,4 ,8 ,5 ,7 ,2 73 09 10 64 69 _____ _____ _____ _____ _____ 1 9 7 0 _____ 1 9 7 1 _____ 1 9 7 2 _____ 1 9 7 3 .... 1 9 7 4 _____ _______________ 5 0 6 4 2 __________ L . 7 6 1 3 5 I _______ _____________ _______ ________ | _ ___________________ I I $1,770 $50,563 I $24,953 1,650 54,988 | 28,654 | 1,595 59,654 | 32,665 1,389 1,763 1,515 2,080 2 , 189 4 8 1 5 7 ,3 ,5 ,9 ,4 ,8 1 9 1 0 4 09,712 12,222 14,837 19,551 24,603 __________ L | | | S tr u c tu r e s $25,610 25,334 27,018 2 2 2 2 3 7,751 8,405 9 , 158 9,762 0,337 I | | 3 3 3 3 3 0,85 1,44 1,9 4 2,44 3,37 I | I 3 3 3 3 3 4 4 5 6 7 ,1 ,9 ,9 ,9 ,9 5 8 3 6 4 | | I I 3 4 4 4 4 8 0 1 2 3 I I | 4 4 4 4 5 5 6 7 8 0 * Equ i p m e n t $39,784 4 4 , 156 48,649 $19,466 23,017 26,729 S tr u c tu r e s $20,317 21,138 21,919 5 5 5 6 6 2 6 9 1 3 ,9 ,5 ,1 ,7 ,2 2 3 0 4 5 2 5 8 0 3 3 3 3 3 3 0 , 172 3,034 4,758 5,692 7,539 2 2 2 2 2 2 3 4 5 5 8 0 0 9 7 6 6 6 6 6 4 5 5 5 7 ,5 ,0 ,4 ,4 ,6 92 36 23 06 59 3 3 3 3 3 3,271 3,050 7,862 8,269 8,536 2 2 2 2 2 6,321 6,955 7,560 8,137 9 , 123 0 7 5 9 2 6 6 6 7 7 8 8 9 1 3 ,0 ,8 ,5 ,4 ,0 34 19 32 11 45 3 S , 093 38,012 37,714 33,616 39,306 2 3 3 3 3 9 0 1 ? 3 ,9 ,8 ,8 ,7 ,7 4 0 1 9 3 0 7 7 4 8 ,9 ,1 ,4 ,7 ,9 34 15 99 90 31 7 7 8 8 8 5 8 1 3 6 ,2 ,0 ,1 ,8 ,2 7 7 3 3 5 0 6 6 6 7 4 4 4 4 4 0 2 4 5 7 4 9 6 9 2 2 3 7 7 0 3 3 3 3 3 4 5 7 8 9 ,7 ,7 ,0 ,2 ,2 2 8 6 3 3 7 2 8 8 7 ,2 ,4 ,3 ,7 ,3 3 1 2 8 3 85,0 6 91,00 93,05 97,19 101,60 2 9 3 4 3 4 4 5 5 5 S ,68 9,63 0,97 3,87 6,97 1 9 3 4 0 4 4 4 4 4 0 1 2 3 4 ,3 ,3 ,0 ,3 ,6 8 6 8 2 3 0 9 0 0 3 9 3 7 7 4 ____________________ 46 T o ta l ,5 ,2 ,0 ,5 ,0 ,7 ,5 ,3 ,0 ,7 4 0 4 4 1 9 1 9 7 3 Sector 5. Iron and ferroalloy ores mining: Historical dollars (Millions of dollars) — — *--------------------------r G ross G ross in v e s tm e n t Net s to c k s s to c k s — i 1 9 4 7 _____ 1 9 4 8 .... 1 9 4 9 .... 1950 . . . . 1 9 5 1 .... 1 9 5 2 _____ 1 9 5 3 .... 1 9 5 4 _____ 1 9 5 5 .... 1956 . . . . 1957 . . . . 1953 . . . . 19 5 9 . . . . 19 6 0 . 1 9 6 1 1 9 6 2 1 9 6 3 1 9 6 4 .. . .... .... .... . -------- | i I i I i I I i I i I I I I I I I I I i | 1970 . . . . 1 9 7 1 _____ 1 9 7 2 _____ 1 9 7 3 .... 1 9 7 4 _____ I I I I i i I I i I I | _______________ L 1 9 6 5 .... 1 9 6 6 .... 1 9 6 7 _____ 1968. . . . 1 9 6 9 _____ Equ i p m a n t T o ta l S tr u c tu re s Equ T o ta l ipment S tr u c tu r e s I | I T o ta l $40 69 94 I I I I I j 63 8 1 8 4 87 113 123 164 196 518 529 546 584 655 I I I | | 155 145 142 149 169 363 384 404 435 436 572 647 730 825 950 742 824 907 996 1,133 I I | | | 190 202 207 207 226 552 622 700 739 906 ,076 ,15 1 ,225 ,513 ,774 1,284 1,360 1,445 1,918 2,343 | I I i | j 259 269 29 1 487 664 1, 0 2 5 1,090 1 , 154 1,430 1,679 2 2 2 2 2 | | I I | 683 775 753 6 98 68 1,754 1 , 906 1, 952 1, 9 82 2,073 $5 12 10 $23 29 25 $108 144 172 $66 73 77 $4 1 70 95 $90 125 153 42 11 24 10 11 34 30 42 33 37 65 207 266 303 34 5 437 82 99 103 108 136 125 167 199 236 30 1 187 245 230 320 4 09 18 1 176 177 139 214 370 392 4 15 449 503 12 1 26 33 56 9 1 51 2 9 21 36 69 23 23 34 54 551 569 592 6 38 7 17 110 107 111 1 15 168 39 31 26 2 1 4 1 70 75 84 96 126 812 9 C3 995 1,092 1,239 240 255 264 266 288 S tr u c tu r e s $49 55 59 $29 42 36 44 49 100 E qu ip m e nt I | | | 1S 6 1 15 127 519 482 56 36 48 225 213 129 78 78 293 268 1,402 1,452 1,592 2,081 2,530 325 340 366 568 756 1 1 1 1 1 162 321 1 14 75 189 63 142 33 15 62 98 173 75 62 126 3 : 656 7 . =37 3 , . C6 3,031 3 , 153 793 90'9 13 89 1 904 1,863 2 ,0 -0 2 , " 73 2,140 2,248 ,4 ,6 ,7 ,6 ,7 3 8 0 8 5 7 1 6 1 4 1 l 62 296 _____________________ ________________ l____ Sector 5. Iron and ferroalloy ores mining: Constant dollars (Millions of 1972 dollars) G ross in v e s tm e n t G ross s to c k s Net s to c k s Year T o ta l I | I E quipm ent S tr u c tu re s 1 9 4 7 _____ 1948 . . . . 1 9 4 9 _____ $62 83 7 1 I | I $ 11 24 19 $5 1 58 51 1 9 5 0 _____ 1 9 5 1 _____ 1 9 5 2 _____ 1 9 5 3 _____ 1954 . . . . 83 1 18 76 84 173 | I | | | 20 40 17 18 54 1955. . . . 1956 . . . . 1957 . . . . 1 9 5 3 _____ 1 9 5 9 _____ 205 42 49 83 135 | | | | | 1 9 6 0 _____ 1 9 6 1 _____ 1 9 6 2 _____ 19 6 3 . . . . 1 9 6 4 _____ 166 164 17 1 182 252 1965 1966 1967 1968 1969 . .. . . . . . _____ _____ _____ 1 9 7 0 _____ 1 9 7 1 _____ 1972. .. . 19 7 3 . . . . 1974. .. . T o ta l Equ i p m e n t $301 365 416 I | i 63 77 59 66 119 480 577 634 700 856 | I | I | 202 223 222 223 26 1 79 3 12 27 45 125 38 37 56 89 1,043 1,068 1,098 1,161 1,274 | | | | | 325 3 12 307 3 15 340 | I I | | 49 39 33 27 52 116 125 138 155 199 1,415 1,550 1,690 1,838 2,055 I I | | i 365 377 38 1 377 399 270 160 169 655 570 I | | | | 70 45 58 258 237 199 115 1 11 396 333 2 2 2 3 3 ,2 ,4 ,5 ,1 ,6 8 1 3 4 7 8 0 8 9 1 | I | | 439 453 479 705 909 179 335 1 14 73 154 I | I I | 67 146 38 15 55 112 188 75 58 98 3 4 4 4 4 ,7 ,0 ,1 ,1 ,1 9 7 2 1 7 7 2 0 6 5 _____________ I____ ________________ $193 200 200 i | | I I 942 1,050 1, 0 4 8 1,015 1,010 i I S tr u c tu r e s $108 165 216 Equ i p m e n t S tr u c tu r e s $245 307 358 $ 140 146 147 $104 160 2 10 277 353 4 1 1 476 594 421 5 18 574 638 789 149 172 172 172 209 27 1 346 402 465 580 7 18 755 79 1 846 934 97 1 985 1,005 1,057 1,153 269 250 238 240 259 70 1 735 766 8 16 893 1,049 1 , 172 1,308 1,460 1,656 1,285 1,403 1,535 1,671 1,874 278 287 288 283 303 1,006 1,12 1 1,247 1,337 1,570 1,849 1 , 957 2,059 2,443 2,76 1 2 2 2 2 3 ,0 ,1 ,2 ,8 ,3 9 9 9 8 7 34 1 352 373 594 786 1,749 1,840 1, 9 24 2,28 9 2,585 2,855 3,022 3,072 3,100 3 , 165 3 3 3 3 3 ,4 ,6 ,6 ,6 ,6 54 82 73 08 10 7 98 883 850 782 746 2 2 2 2 2 __________________ 47 T o ta l 0 2 8 4 1 ,6 ,7 ,8 ,8 ,8 5 9 2 2 6 6 8 3 5 3 Sector 6. Nonferrous metal ores mining: Historical dollars (Millions of dollars) — — — Gross Year G ross i r.vestm ent scou! — 5 Hat s to c k s | T o ta l I E quipm ent T o ta l S tr u c tu re s Equ i p m e n t S tr u c tu r e s T o ta l S tr u c tu r e s Equ i p m e n t $87 152 177 $ 159 166 160 1937. . . . 1 9 3 8 _____ 1 9 3 9 _____ $56 93 51 ! I 1 $ IS 35 13 $39 57 37 $239 353 395 $ 1 96 2 15 2 10 $93 159 185 $236 303 337 1 9 5 0 _____ 1 9 5 1 .... 1 9 5 2 _____ 1 9 5 3 _____ 1954. . . 68 90 59 99 117 | 1 I 1 I 20 29 17 3 33 57 65 51 55 S3 553 512 560 588 682 2 12 218 216 200 213 230 295 353 587 569 383 550 595 518 6 10 160 165 16 1 152 155 222 285 533 376 555 1955 1956 1957 1956 1959 . . . . _____ _____ _____ _____ 105 93 156 1 S1 299 I | I I I 25 1 55 55 80 79 51 1 10 135 168 763 78 1 9 12 1,069 1,295 216 195 217 250 300 556 586 695 323 995 688 705 S35 988 1,208 157 136 16 1 135 255 531 567 673 302 963 1960 . . . . 1 9 6 1 .... 1962. .. . 19 6 3 . . . . 1 9 6 3 _____ 254 202 178 159 230 | I | I I 93 75 66 55 10 1 160 126 111 99 128 1,527 1,707 1,863 1 , 993 2 , 196 373 529 576 510 588 1,155 1,273 1 , 3S7 1,583 1,607 1,531 1,596 1,732 1,837 2,009 3 15 365 50 1 520 580 1,115 1,232 1,331 1,516 1,529 --------. . . . . . . . . . . . _____ 278 206 258 970 230 | I I | | 130 8 3 109 259 8 1 157 122 138 220 153 2,5 5 0 2,602 2,796 3,202 3,358 690 737 800 996 1,015 1,759 1,865 1 , 996 2,206 2,352 2 2 2 2 2 ,2 ,3 ,5 ,8 ,9 1 5 0 7 9 9 5 3 5 0 56 1 587 63 1 SC 9 809 1,657 1,758 1,872 2,065 2 , 180 19 7 0 . . . . 1 9 7 1 _____ 1972. .. . 1 9 7 3 _____ 1 9 7 9 _____ 355 298 368 600 616 | I 163 1 16 162 31 1 263 195 18 1 205 288 357 3 3 5 5 5 1,111 2 2 2 3 3 3 3 3 5 5 ,2 ,3 ,6 ,0 ,5 2 8 0 3 7 5 5 5 9 0 1955 1966 1967 1968 1969 I j ,633 ,839 ,106 ,595 ,082 1, 155 1,238 1,563 1,635 ,5 ,6 ,8 ,1 ,5 21 85 68 3 1 58 2 2 2 2 3 886 908 968 1, 167 1,309 ,3 ,5 ,6 ,8 ,1 3 7 3 7 6 8 7 6 2 1 ________________ ________________ 1____ Sector 6. Nonferrous metal ores mining: Constant dollars (Millions of 1972 dollars) — — G ross invastm e i t G ross s to c k s Net Year T o ta l Equi pment S tr u c tu re s T o ta l Equ i p m e n t S tr u c tu r e s T o ta l s to c k s Equ i p m e n t I-------------------------------------S tr u c tu r e s — 1 9 5 7 _____ 1958 . . . . 1 9 5 9 .... $121 185 10 1 1950 . . . . 1 9 5 1 .... 19 5 2 . . . . 1 9 5 3 .... 19 5 5 . . . . 135 159 120 85 205 36 39 28 5 5 1 93 120 9 1 80 152 1,063 1, 165 1,228 1,257 1,503 500 588 566 521 521 1 5 5 5 _____ 1956 . . . . 1957 . . . . 19 5 8 . . . . 1959. .. . 182 70 255 279 379 38 1 59 57 100 153 68 175 22 1 278 1,527 1,550 1,720 1, 9 5 7 2,279 508 359 370 382 552 1,118 1 , 180 1,350 1,565 1,837 1, 352 1,367 1,559 1,777 2 , 105 2S 1 239 259 28 0 355 1,071 1,127 1,290 1,597 1,760 1 9 6 0 _____ 1 9 6 1 .... 1962. . . . 1 9 6 3 .... 1S6 5 . . . . 382 305 26 6 229 330 116 95 83 6o 127 266 209 182 160 203 2 , 6 18 2,881 3 , 106 3,293 3,577 521 582 633 669 76 1 2 2 2 2 2 2 2 2 3 3 2 5 3 5 8 525 580 520 55 1 6 13 2 2 2 2 2 ,0 ,1 ,3 ,5 ,6 1 9 6 5 _____ 1 9 6 6 .... 1 9 6 7 .... 1968. . . . 1969. .. . 390 283 325 580 273 162 102 129 282 89 227 181 196 293 135 3 , 9 13 5 , 130 5,376 5,855 5:032 883 936 1,005 1,217 1,228 3,029 3 , 195 3,37 1 3,656 3,803 3,557 3,723 3 , 9 17 5,355 5,566 7 12 739 786 978 967 2 2 3 3 3 ,855 , 9- 8 3 ,131 ,376 ,599 1 9 7 0 _____ 1 9 7 1 .... 1 9 7 2 _____ 1973.. . . 1 9 7 5 .... 395 3 11 368 57 1 510 173 119 162 303 239 22 1 192 205 267 27 1 5; : c s 5, hi 9 5 , 7 15 6 , 127 6,558 1 , 3 0 1,351 1,505 1,601 1,721 3 5 5 5 5 5 5 5 5 5 1,033 1,037 1,076 1,258 1,352 3 3 3 5 5 ,6 ,7 ,8 ,0 ,2 _______________ $35 69 25 $87 115 76 $815 953 986 $522 55 1 515 ____________ ________________ 48 $293 50 1 57 1 56 3 677 762 836 98 1 ,0 ,2 ,5 ,6 ,8 96 99 73 25 16 , 9 92 , ' 7 ,309 ,525 ,737 $650 775 817 893 995 1,055 1, 08 1 1,227 ,5 ,6 ,3 ,0 ,2 ,6 ,8 ,9 ,3 ,5 3 7 7 2 6 8 0 6 1 8 6 7 9 6 1 $386 503 376 $265 37 1 550 362 35 1 329 285 289 53 1 652 725 796 938 0 9 5 8 5 5 7 9 6 3 7 5 2 5 5 3 0 2 8 9 Sector 7. Coal mining: Historical dollars (Millions of dollars) G ross in v e s tm e n t Gross s to c k s Net s to c k s Year — I 1 9 9 7 _____ 1 9 9 8 _____ 1 9 9 9 _____ I T o ta l Equ i p m e n t S tr u c tu re s I960. . . . 1 9 6 1 _____ 1 9 6 2 --------1 9 6 3 _____ 1969. .. . 1965. .. . 1 9 6 6 .... 1967 . . . . 1 9 6 8 _____ 1 9 6 9 _____ T o ta l Equ i p m e n t S tr u c tu r e s $79 10 1 96 $837 1, 186 1,286 $737 937 992 $ 1 50 299 293 $726 1,006 1,086 $536 768 809 $140 238 28 1 397 171 171 56 1 14 282 1 19 1 19 69 7 1 1 19 5 1 51 3 1 42 1 , 6 17 1 , 7 18 1 , 8 15 1,831 1,853 1,211 1,263 1,311 1,298 1,230 905 959 503 532 572 1,398 1,972 1,536 1 , 5 13 1,997 1,005 1,032 1,099 999 995 392 44 0 437 5 14 551 66 121 270 202 256 37 69 163 111 155 28 51 106 90 100 1,812 1,305 1,931 1, 9 7 3 2,077 1,213 1,158 1 , ISO 1,139 1,19 1 598 697 750 838 936 1,922 1,397 1,521 1,580 1,702 897 776 800 775 305 574 620 720 804 897 197 29 1 299 2 17 637 123 19 1 177 160 932 73 99 7 1 56 159 2 2 2 2 3 1,11 1,18 1,29 1,30 1,68 1,007 1,103 1,17 1 1,229 1,379 1,779 1, 997 2,080 2 , 176 2,639 8 12 896 968 1,020 1,389 1 1 1 1 256 963 333 25 9 330 179 330 229 16 1 209 76 132 103 97 125 3,215 3,5 6 6 3,773 3,891 9,062 1,770 1, 995 2,103 2,139 2,191 1,995 1,570 1,670 1,757 1,870 2 3 3 3 3 ,7 ,0 ,2 ,2 ,3 8 8 3 8 8 1,935 1 , 6 19 1,679 1,659 1,669 1,354 1, 467 1,553 1,626 1,724 775 967 983 770 90 1 299 229 299 390 9 1 1 9 5 5 6 7 2 3 3 3 9 2 , 150 2,353 2,583 2,902 3,288 9 9 5 5 6 ,2 ,6 ,0 ,8 ,7 2 9 3 8 2 2 2 3 3 1,933 2,179 2,335 2,653 3,048 1 I ; I j 1 1 1 9 7 0 _____ 1 9 7 1 _____ 1972. .. . 1 9 7 3 _____ 1979. .. . S tr u c tu r e s $152 293 1 12 1 1 9 5 5 _____ 19 5 6 . . . . 1 9 5 7 _____ 1 9 5 8 _____ 1 9 5 9 _____ Equ i p m e n t $272 350 159 j 1 9 5 0 _____ 1 9 5 1 .... 1 9 5 2 _____ 1953. .. . 1 9 5 9 _____ T o ta l 1,070 692 728 1,111 1,313 ,1 ,2 ,9 ,5 ,0 ,9 ,9 ,9 ,7 ,8 26 89 15 27 63 9 3 2 8 2 9 3 7 2 5 ,7 ,0 ,3 ,8 ,5 9 0 3 2 9 93 79 93 80 37 9 6 3 5 9 19 5 9 3 5 i ,2 ,9 ,6 ,1 ,7 2 9 6 4 3 5 6 3 9 6 _________ 96 1 ,051 ,111 ,155 ,295 Sector 7. Coal mining: Constant dollars (Millions of 1972 dollars) t Gross investment L j | | Equipment i Structures 1 Total Total Year 1947 .... 1948.... 1949. .. . 1950.... 1951.... 1952. . . . 1953 __ 1954 __ 1955.... 1956 ... . 1957 ... . 1958__ 1959 __ 1960 ... . 1961.... 1962. ... 1963 ... . 1964 ... . 1965.... 1966.... 1967 ... . 1968 .... 1969 __ 1970 .... 197!.... 1972 __ 1973.... 1974 ... . i I I ! ! I 1 1 ! I I I i I ! j I I I I I I I i i i I i $475 $646 I 559 753 I 238 328 I I 573 810 | 219 312 I 216 306 I 113 168 I 122 198 j 1 62 114 I 107 193 I 237 406 I 157 3C2 I 214 377 l 167 288 I 258 ^2 1 I 237 352 1 214 3C2 1 634 874 | 232 343 i 419 612 I 276 426 I 139 319 | 230 385 I 837 1,17 1 I 983 720 I 433 728 I 746 1,065 i 789 1,109 I 1_________ I | $17 1 194 90 237 93 89 54 76 52 £5 168 145 162 120 162 114 58 239 115 192 150 129 155 333 237 244 318 319 I I | I I | i | 1 | | | I I | I I | | | i I I L_________ Gross stacks l_ I I Equipment I Structures I $2,773 ! j 3,335 I | 3,446 |j | 4,022 I 4,092 I I 4,154 1 I 4,070 I I 4,003 i 3,330 | ! 3,706 I ] 3,772 1 I 3,724 I Ij 3,761 |j | 3,737 I I 3,836 | I 4,008 I i 4,113 I I 4,810 | ! 4,983 i I 5,416 | I 5,648 | | 5,757 | I 5,909 | I 6,817 | 7,244 I | 7,645 I 8,358 | 9,C98 j| $2,327 2,704 I 2,734 | 3,082 I 3,069 I 3,05 1 2,922 I 2,763 | 2,573 I 2,373 I 2,280 I 2,097 I 1,931 I 1,346 | 1,842 1,860 | 1,888 | 2,358 | 2,43 1 2,689 | 2,792 t 2,796 I 2,821 | 3,426 | 3,652 3,84 9 4,288 I 4,760 I _L 49 $446 63 1 712 939 1,023 1,103 1, 148 1,214 1,257 1,333 1,491 1,627 1,730 1,891 2,043 2,148 2,225 2,451 2,55 1 2,726 2,856 2,96 1 3,038 3,39 1 3,592 3,796 4,06 9 4,338 Net stocks T To ta l $ 2 , ISO 2,699 2,77 1 3,320 3,339 3, 373 3,238 3,122 2,911 2,779 I 2,872 2,88 1 2,992 3,093 3,25 I 3,903 3,508 9,179 9,299 9,666 I 9,823 9,898 9,9 15 5,796 6,087 6,9 12 7,059 7,7 12 Structures Equ i p m e n t $399 583 662 $1,781 2,115 2,109 2,932 2,336 2,328 2, 152 1, 579 1,725 1,523 1,963 1, 393 1,310 SSS 968 1,095 1, 086 1,193 1,186 1,256 1,909 1,537 1,631 1,261 1,329 1,391 1,435 1/895 ! I | I ! 1,781 1, 922 2,011 2,072 2,28 1 1 , 938 2,152 2,202 2,146 2,111 I I I | 2,360 2 , 5 13 2,620 2,70 1 2,804 2,666 2,834 2,983 3,382 3,802 I | i I I I 3,079 3,253 3,428 3,67 1 3 , 9 10 Sector 8. Crude petroleum and natural gas: Historical dollars (Millions of dollars) G ross G ross in v e s tm e n t Nat s to c k s s to c k s Year Equ i p m e n t T o ta l 1 9 4 7 _____ 1948. .. . 1 9 4 9 _____ $324 516 473 $1,251 1 , 8 14 1,751 $13,211 14,261 15,247 $4,382 4,534 4,637 S tr u c tu r e s T o ta l Equ i p m e n t $8,829 9,727 10,609 $10,924 11,927 12,840 $3,308 3,425 3,482 16,593 1 3, 177 20,102 22,026 24,140 4 5 5 5 5 ,8 ,0 ,3 ,4 ,6 5 6 4 7 3 0 7 7 1 1 1 1 1 1 3 4 6 8 ,7 ,1 ,7 ,5 ,5 33 16 62 48 03 14,099 15,585 17,399 19,195 21,158 3 3 4 4 4 , , , , , 6 8 0 1 2 5 1 6 6 9 8 8 3 3 3 83 1 787 8 14 687 769 2 2 2 2 2 ,6 ,8 ,7 ,5 ,7 68 05 88 15 04 2 2 3 3 3 6,741 9,400 2,020 4,177 6,529 6 6 6 6 7 ,0 ,3 ,6 ,8 ,0 1 3 7 5 9 3 7 1 7 9 2 2 2 2 2 0 3 5 7 9 ,7 ,0 ,3 ,3 ,4 2 6 4 2 2 2 2 2 3 3 6 8 8 2 10 787 362 697 536 875 2 2 2 2 2 ,551 ,5 9 5 ,6 8 4 ,4 0 3 ,7 0 8 3 4 4 4 4 8 0 2 4 5 48 71 87 65 75 7 7 7 7 7 ,3 ,6 ,6 ,6 ,8 29 0 1 76 10 07 3 3 3 3 3 2,451 2,811 2,736 2,916 3,062 47,314 48,985 50.791 8 8 8 8 ,0 ,2 ,4 ,7 3 9 2 5 2,831 2,663 3 , 187 3,43 1 5,419 5 5 5 5 6 2, 2, 2, 2, 2/ 1955 1956 1957 1958 1959 _____ _____ _____ ----------------- 3 3 3 3 3 ,5 ,5 ,6 ,2 ,4 1960 196 1 1962 1963 1964 ------------------------_____ _____ 3 3 3 2 3 ,339 ,453 ,332 ,990 ,534 1965 1966 1967 1968 1969 _____ _____ _____ _____ _____ 3 3 3 3 4 ,382 ,738 ,595 ,98 0 ,581 930 976 858 1,053 1 , 5 18 ,54 1 ,356 , 0 9S ,307 ,803 709 692 910 875 1,383 3 3 4 4 6 Equ i p m e n t 1,518 1,777 2,046 2 , 198 2,38 1 _____ _____ _____ _____ _____ 00 93 03 03 74 $926 1,297 1,277 T o ta l 608 6 10 707 580 6 10 1950 1951 1952 1953 1954 1 9 7 0 _____ 1 9 7 1 .... 1 9 7 2 _____ 1 9 7 3 _____ 1 9 7 4 _____ 127 388 7 54 779 992 S tr u c tu re s ,6 ,7 ,6 ,0 ,8 5H. a 16 53.791 4 5 6 7 0 , , , , , 5 0 1 3 9 3 5 4 3 1 3 5 7 4 2 9 1 ,5 ,9 ,3 ,1 ,1 69 91 27 56 39 4 4 5 5 5 ,6 ,8 ,1 ,2 ,4 2 8 4 5 1,319 3,170 5,011 6,455 8,068 33,8 35,5 37,0 37,9 39,2 54 45 06 18 72 5 5 5 5 5 ,5 ,7 ,7 ,6 ,7 5 5 5 3 8 9,532 3 4 4 '‘ 4 9 0 1 3 4 ,2 ,6 ,3 ,0 ,2 7 8 6 6 5 6 7 5 3 8 4 4 4 4 4 0 1 2 3 5 ,2 ,5 ,4 ,5 ,1 6 0 0 6 9 3 6 9 3 0 5 6 6 6 7 ,9 ,2 ,3 ,6 ,3 9,498 9,436 9,57 1 9,640 10,174 4 4 4 4 5 5 5 6 7 0 ,0 ,6 ,5 ,6 ,7 8 1 7 9 3 5 9 6 4 7 4 4 4 4 5 5 5 6 7 0 ,6 ,8 ,6 ,5 ,9 4 0 3 8 6 2 8 2 2 0 7 7 7 7 7 7 7 5 3 7 3 8 0 9 3 5 8 0 2 S tr u c tu r e s $7,616 8,5 0 1 9,357 10,441 11,766 13,336 15,027 16,864 18,94 21,10 23,17 24,90 26,72 3 3 9 4 8 8 3 7 1 6 2 2 3 3 3 8,2 9,7 1,2 2,2 3,4 9 9 4 8 3 6 2 9 6 6 81 10 11 09 45 3 3 3 3 3 4 5 6 6 7 , , , , , 2 2 0 9 8 8 9 9 5 4 2 5 3 4 5 ,235 ,088 , 135 ,116 ,579 3 3 3 4 4 8 8 9 0 3 , , , , , 4 7 4 4 3 0 2 9 6 8 6 0 6 5 1 ________________ Sector 8. Crude petroleum and natural gas: Constant dollars (Millions of 1972 dollars) G"oss — in vastm e i t G ross s to c k s Met Year T o ta l 1 9 4 7 _____ 1948. . . . 1949 . . . . Equ i p m a n t S tr u c tu re s T o ta l Equ i p m e n t $38 760 39 ,6 2 2 40 3 9 8 $12 ,577 12 4 0 8 12 122 $2 3 3 6 14 443 332 $700 1,032 899 $1 2 2 913 4 11 432 _____ _____ _____ . . . . _____ 4 4 4 4 4 030 027 539 547 973 1,116 1,015 1, 157 937 950 2 3 3 3 4 9 14 0 12 382 609 022 4 1 43 45 47 49 867 3 10 240 156 5 10 12 11 i i 11 11 1 9 5 5 _____ 1 9 5 6 .... 1957 . . . . 19 5 8 . . . . 1959. . . . 5 5 5 4 4 71 1 3 96 182 70 1 91/5 1,279 1,107 1,031 896 987 4 4 4 3 3 432 289 100 805 965 52 55 53 60 62 626 446 056 172 506 1 9 6 0 _____ 1 9 6 1 _____ 1962. . . . 1 9 6 3 .... 1 9 6 4 _____ 4 4 4 5 782 029 889 443 257 996 1,091 882 740 1,097 3 3 4 3 4 785 938 006 703 160 64 66 68 70 72 600 841 8 17 193 202 1 9 6 5 _____ 1 9 6 5 .... 1 9 6 7 _____ 1 5 6 3 _____ 1969. .. . 4 5 4 4 5 837 16 7 735 982 422 1, 157 1, 196 1,023 1,219 1,683 3 3 3 3 3 680 970 712 763 739 73 75 76 77 78 1 9 7 0 _____ 1 9 7 1 .... 1972. . . . 1973. . . . 1974. . . . 3 3 4 3 5 963 60 1 098 977 058 756 709 910 855 1,236 3 2 3 3 3 206 891 187 122 822 77 77 76 75 76 1950 1951 1952 1953 19 5 4 D _ _____ S tr u c tu r e s T o ta l s to c k s Equ i p m e n t S tr u c tu r e s $26 27 28 182 214 276 048 854 790 50S 272 29 31 33 35 38 8 19 455 449 648 238 34 35 37 39 4 1 184 565 451 340 657 8 8 8 8 8 627 450 439 239 094 25 27 29 3 1 33 556 1 15 0 12 100 562 11 n 11 11 11 4 10 422 44 1 295 251 4 1 216 44 024 4 6 6 15 48 8 7 7 51 2 5 5 44 47 49 5 1 53 697 376 777 6 15 603 8 8 8 8 8 3 11 366 40 1 249 188 36 39 4 1 43 45 386 009 376 365 4 15 11 11 11 10 10 209 249 068 739 767 53 55 57 59 6 1 390 591 748 454 435 55 57 58 59 60 294 088 576 448 964 8 8 7 7 7 129 162 984 673 736 47 48 50 5 1 53 165 925 591 774 227 605 144 055 023 26 1 10 11 10 11 11 862 0 10 997 198 878 62 64 65 65 66 742 134 058 825 383 6 1 62 63 64 64 88 1 956 437 024 922 7 8 8 8 3 870 050 06 1 276 949 54 54 55 55 55 0 1 1 906 375 748 972 835 006 500 767 025 11 11 11 11 11 642 357 258 030 248 66 65 65 64 64 243 649 242 687 776 64 63 62 6 1 6 1 231 096 399 535 732 8 8 8 7 8 666 325 173 949 098 55 54 54 53 53 565 77 1 226 586 634 50 _____ $31 32 32 204 055 780 $9 18 1 9 0 12 8 ,710 $22 23 24 023 043 069 sector 9. Stone and clay mining and quarrying: Historical dollars (Millions of dollars) — G ross in v e s tm e n t G ross Net s to c k s s to c k s Year T o ta l 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ Equi pmant S tr u c tu r e s T o ta l Equi pment 945 30 40 $30 19 27 $14 10 12 $213 229 254 30 46 48 46 65 14 20 21 21 29 283 332 383 431 504 T o ta l S tr u c tu r e s Equ i p m e n t $36 45 56 $ 174 187 208 $14 1 145 155 $32 41 53 2 12 243 274 30 1 346 70 89 109 129 153 233 279 326 368 435 167 194 22 1 243 283 66 85 105 124 152 530 6 15 727 3 17 903 340 389 456 50 1 543 190 226 27 1 3 16 360 537 57 1 6 10 652 742 387 431 475 520 574 $176 183 197 1950 195 1 1952 1953 1954 _____ _____ _____ _____ _____ 45 67 70 68 95 1955 1956 1957 1958 1959 --------_____ _____ --------_____ 126 12 1 153 137 140 86 82 105 89 92 39 33 47 47 47 607 703 829 934 1,039 4 11 470 549 609 667 196 233 279 325 372 1 9 6 0 _____ 1 9 6 1 _____ 1 9 6 2 _____ 1 9 6 3 --------1 9 6 4 _____ 83 145 157 168 230 52 97 108 1 18 169 30 47 48 49 60 1,082 1,179 1,281 1,386 1,545 680 732 786 843 943 40 1 447 494 542 60 1 925 1,003 1, 085 1,172 1,316 1965 1966 1967 1968 1969 203 337 219 17 1 330 145 266 172 127 246 57 70 46 43 83 1,672 1, 9 2 9 2,065 2,150 2,387 1,015 1,204 1,296 1,341 1,499 657 725 768 808 883 1,427 1,667 1,778 1,830 2,030 802 979 1,052 1,071 1,199 378 573 359 691 516 236 446 254 567 423 91 126 104 123 92 2,6 3,1 3,3 3,8 4,2 1,688 2,024 2 , 153 2,580 2,850 2 2 2 3 3 1,353 1,651 1,735 2,118 2,3 3 1 _____ _____ _____ _____ _____ 1 9 7 0 _____ 1 9 7 1 .... 1972 . . . . 1 9 7 3 _____ 1 9 7 4 _____ 6 1 4 8 3 2 9 4 6 7 S tr u c tu r e s 1 1 1 1 974 ,094 ,191 ,306 ,387 ,2 ,6 ,8 ,3 ,6 6 7 4 3 3 1 3 0 13 _______ _________ 625 688 725 759 85 1 909 1, 0 20 1,107 1,211 1,282 Sector 9. Stone and clay mining and quarrying: Constant dollars (Millions of 1972 dollars) — r G ross in v e s tm e n t G ross s to c k s Net s to c k s Year j T o ta l Equi pment S tr u c tu re s T o ta l Equ i p m e n t S tr u c tu r e s 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ I | | $100 60 78 $68 39 53 $31 20 25 $634 649 679 $513 51 1 519 $121 138 159 1950 1951 1952 1953 1954 _____ _____ _____ _____ _____ i I I ! | 87 1 17 119 1 15 159 57 80 31 77 106 29 37 38 37 53 7 14 779 844 902 1,005 529 560 59 1 6 16 669 185 218 252 286 336 1S 5 5 1956 1957 1958 1959 _____ _____ _____ --------_____ I | I I | 208 184 220 197 199 137 120 145 119 120 7 1 63 75 77 78 1, 156 1,282 1,443 1,577 1,708 753 820 909 969 1, 026 403 462 534 607 681 I 96 0 1961 1962 1 96 3 1964 _____ _____ _____ --------_____ j I I I | 1 18 204 219 232 3 12 67 126 14 C 153 216 50 78 79 79 95 1,752 1,874 2,00 1 2,131 2,333 1,023 1,071 1, 1 2 2 1 , 177 1,288 1965 1966 1967 1968 1969 _____ _____ _____ _____ _____ I | I I | 272 436 275 207 380 184 332 209 148 276 88 104 65 58 103 2,4 9 1 2.811 2 ,9 o3 54 3 , 3 06 1 9 7 0 _____ 1 9 7 1 .... 1 9 7 2 _____ 1 9 7 3 _____ 1 9 7 4 _____ I I I I | 4 12 592 359 667 448 308 458 254 553 375 104 133 104 114 72 3 4 4 4 4 ,5 ,0 ,1 ,6 ,9 78 14 96 67 02 _____________________ _____________________ ________________ 51 T o ta l Equi pmant $502 509 534 $397 337 391 $105 121 142 397 424 452 474 523 168 20 1 234 267 3 16 982 1,097 1,241 1, 355 1,463 600 656 73 1 774 8 10 382 440 509 58 1 652 728 803 878 953 1, 0 4 4 1,481 1,579 1,684 1,796 1,983 785 8 13 848 890 993 695 765 836 905 989 1,363 1,584 1,682 1,71/ 1,874 1,128 1,226 1,285 1,337 1, .3 1 2 , 125 2,424 2,551 2,598 2,804 1,060 1,270 1,348 1,354 1,479 1 1 1 1 1 ,0 ,1 ,2 ,2 ,3 6 5 0 4 2 2 2 2 2 3 1 1 1 1 1 3 3 3 3 4 1 , 6 18 1,890 1 , 938 2,270 2,404 1 1 1 1 1 ,4 ,5 ,5 ,6 ,7 05 13 87 69 04 ,0 ,3 ,4 ,8 ,0 5 6 6 3 1 3 8 0 4 6 ,525 ,646 ,736 ,833 ,885 565 626 686 74 1 839 S tr u c tu r e s ,0 ,4 ,5 ,9 ,1 2 0 2 3 0 4 3 5 9 8 ______ 5 4 3 3 5 Sector 10. Chemical and fertilizer mineral mining: Historical dollars (Millions of dollars) — Gross --------------------------------------------------------------------------------------------------------- in v e s tm e n t G ross s to c k s Net s to c k s Year T o ta l 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ Equ i p m e n t $18 14 17 $9 6 9 10 1950 1951 1952 1953 1954 _____ _____ _____ --------_____ 19 26 26 28 36 21 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ 43 37 48 41 '42 30 25 35 33 30 1 9 6 0 _____ 1 9 6 1 .... 1 9 6 2 _____ 1 9 6 3 _____ 1 9 6 4 _____ 31 55 62 70 103 18 34 36 37 59 105 1 9 6 5 _____ 1 9 6 6 _____ 1 9 6 7 _____ 1 9 6 8 _____ 1969. .. . 14 14 15 210 143 51 45 1 9 7 0 _____ 1 9 7 1 _____ 1 9 7 2 _____ 1 9 7 3 _____ 1 9 7 4 _____ $8 7 7 8 11 11 12 14 12 11 12 7 11 12 20 T o ta l Equ i p m e n t S tr u c tu r e s T o ta l Equ i p m a n t $73 82 94 $54 56 1 $18 25 32 $60 6 107 127 146 167 196 67 77 85 95 39 50 60 72 91 109 127 146 172 110 86 68 79 S tr u c tu r e s $43 45 49 $17 23 30 53 37 48 58 69 83 61 68 76 89 110 230 253 297 327 357 133 150 177 1 20 220 97 108 119 126 137 204228 262 237 311 124 147 166 180 25 32 43 375 414 458 507 586 226 246 265 283 319 148 168 192 224 266 321 353 389 431 503 179 192 205 2 17 249 142 160 184 214 254 57 130 80 14 47 79 62 36 32 664 845 958 978 989 35 1 454 506 492 473 313 391 45 1 486 516 575 749 851 856 852 276 375 4 19 394 363 298 374 43 1 462 488 80 89 51 43 26 63 42 1,085 1, 176 1,219 1,551 520 572 592 865 946 564 604 626 685 722 398 435 444 7 10 778 533 568 586 640 671 12 132 133 93 390 181 S tr u c tu r e s 66 326 138 1,668 93 1 1,003 1,030 1,350 1,450 94 104 115 121 131 Sector 10. Chemical and fertilizer mineral mining: Constant dollars (Millions of 1972 dollars) G ross in v e s tm e n t G ross s to c k s Net stocks Year T o ta l 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ $40 28 34 Equ i p m e n t $22 13 19 20 1950 1951 1952 1953 1954 _____ _____ _____ _____ _____ 37 46 45 48 62 25 25 26 36 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ 72 58 70 58 60 50 39 51 46 4 1 1 9 6 0 _____ 1 9 6 1 .... 1 9 6 2 _____ 1 9 6 3 _____ 1 9 6 4 _____ 45 79 90 24 46 48 49 77 102 146 1965 1966 1967 1968 1969 _____ _____ _____ _____ _____ 147 282 187 1970 197 1 1972 1973 1974 _____ _____ _____ _____ _____ 145 138 93 375 154 66 54 74 165 98 16 14 86 92 66 317 121 S tr u c tu re s $18 14 15 17 20 20 21 26 22 18 19 12 18 20 33 4 1 52 68 73 117 T o ta l $2 18 $ 159 160 166 232 250 $59 7 1 84 T o ta l | $175 186 E qu ip m e nt S tr u c tu r e s I I | $124 126 $5 1 63 75 247 272 299 338 | | | I | 130 138 146 153 170 90 108 126 145 168 202 220 122 172 182 192 1 20 220 99 1 17 135 154 178 45 0 486 535 57 1 608 251 272 303 329 349 198 2 14 232 24 1 253 387 420 464 493 522 | I I I | 199 216 244 264 277 187 203 627 679 738 804 9 11 351 370 38 9 406 446 276 308 348 393 465 532 574 623 681 780 I | | | | 270 282 294 3C4 341 26 1 291 329 376 439 481 605 662 637 608 535 650 735 780 15 878 1,109 1,233 1,241 U 2 2 7 | I | | I 372 492 541 505 462 907 926 976 1,3 1,3 1,3 1,6 1,7 I | I I | 489 5 14 508 750 789 17 55 97 17 24 49 40 58 46 26 58 33 1,518 1,599 1,624 1, 922 1,991 649 69 1 697 945 991 8 868 1,000 0 5 6 4 0 0 8 3 8 2 ________________ I____ ________________ S tr u c tu r e s 27 1 300 327 356 398 1,0 1,2 1,3 1,4 1,4 88 Equ i p m e n t 52 220 229 244 506 616 696 736 765 811 843 854 897 912 Sectors 11 and 12. New and repair construction: Historical dollars (Millions of dollars) G ross in v e s tm e n t G ross s to c k s Net s to c k s Year T o ta l Equ i p m e n t S tr u c tu r e s T o ta l Equi pment S tr u c tu r e s T o ta l Equi pment 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ $445 460 368 $396 409 327 $48 50 40 1950 1951 1952 1953 1954 _____ _____ _____ _____ _____ 500 609 585 400 600 445 542 521 356 534 54 66 63 43 65 1955 1956 1957 1958 1959 _____ _____ _____ --------_____ 907 921 1,235 1,058 1,385 808 820 1, 100 983 1,246 98 100 134 74 138 4,917 5,528 6,411 7,081 8,0 4 5 1960 196 1 1962 1963 1964 _____ _____ _____ _____ _____ 1,263 1,276 1,626 1,701 1,708 1,161 1, 126 1,430 1,496 1,502 101 149 195 204 205 8,854 9,628 10,689 11,745 12,717 7,680 8,313 9 , 187 10,046 10,820 1 1 1 1 1 ,173 ,314 ,502 ,699 ,896 7,3 7,9 8,7 9,5 10,3 1 9 6 5 _____ 1 9 6 6 _____ 1 9 6 7 _____ 1 9 6 8 _____ 1 9 6 9 _____ 1,783 1,764 1 , 6 13 1,861 1,972 1,586 1,410 1,318 1,522 1 , 6 15 196 353 294 338 356 13,672 i 4 ,322 1 5 , :3 3 15,920 16,726 11,587 12,092 i 2,421 12,873 13,332 2 2 2 3 3 ,0 ,4 , ' ,0 ,3 11,052 11,681 12,084 12,669 13,300 9,0 9,3 9,4 9,7 10,0 1970 197 1 1972 1973 1974 1,846 2 , 5 18 2,945 2 , 6 10 2,689 1,513 2,066 2,419 2 , 144 2,209 332 45 1 525 465 479 17,326 18,530 20,110 21,322 22,582 1 1 1 1 1 3,715 4 , 155 4,667 5,117 5,579 1 1 1 1 1 10,202 10,866 11,839 12,481 13,131 _____ _____ _____ _____ _____ ________ $1,718 2,076 2,343 2 3 3 3 4 ,7 ,2 ,6 ,9 ,2 4 3 8 0 7 $1,483 1,796 2,028 0 6 0 1 8 2 2 3 3 3 ,3 ,8 ,2 ,3 ,7 4 4 5 6 6 ,253 ,772 ,528 ,131 ,966 3 4 5 6 7 7 1 0 8 0 7 3 1 5 4 $235 280 3 15 $1,430 1,766 1,992 363 422 479 515 573 2,328 2,736 3,076 3 , 187 3,460 2 2 2 2 2 ,0 ,3 ,6 ,7 ,9 04 54 39 15 32 4 4 5 5 6 02 13 97 54 87 3 3 4 4 5 ,3 ,8 ,4 ,9 ,6 8 0 6 5 6 4 5 5 8 3 6 17 708 832 896 1,023 2 0 5 7 2 6,21 6,65 7,31 7,95 8,50 5 6 9 5 7 1,113 1,251 1,433 1,623 1,813 9 3 3 4 6 1,993 2,328 2,60 1 2,915 3,244 664 756 883 949 1,079 ,611 ,375 ,443 ,204 ,002 S tr u c tu r e s 85 50 17 46 93 __________ ,0 ,5 ,2 ,8 ,6 $ 1,229 1,522 1,715 9 7 2 9 1 3,749 4,830 6,289 7,352 8,432 5 5 8 5 5 $200 243 276 323 382 437 47 1 528 3 3 4 4 5 ,5 ,9 ,4 ,8 ,3 4 6 5 7 0 6 3 0 1 0 Sectors 11 and 12. New and repair construction: Constant dollars (Millions of 1972 dollars) G ross G ross in v e s tm e n t Net s to c k s s to c k s Year Equ i p m e n t T o ta l S tr u c tu re s Equ i p m e n t T o ta l $4,084 4,571 4,875 $4,986 5,542 5,895 1 9 4 7 _____ 1948 . . . . 1 9 4 9 _____ $981 922 705 $876 825 626 $ 104 97 78 1950 . . . . 1951 . . . . 1 9 5 2 .... 1953. . .. 1 9 5 4 _____ 949 1,052 977 669 988 837 951 867 593 870 112 120 1 10 75 1 18 1955. . . . 1956 . . . . 1 9 5 7 _____ 1958 . . . . 1 9 5 9 --------- 1,475 1,377 1,751 1,452 1,870 1,295 1,209 1,539 1,332 1,646 179 167 212 119 224 9,250 9,942 10,958 11,633 12,699 7,70 8,26 9,09 9,68 10,56 1960 . . . . 1 9 6 1 .... 1 9 6 2 .... 1 9 6 3 .... 1 9 6 4 _____ 1,638 1 , 7 11 2,179 2,268 2,250 1,522 1,466 1,864 1, 9 4 5 1,931 166 245 314 322 319 13,552 14,381 15,610 16,840 17,955 1 1 1 1 1 1 9 6 5 .... 1966 . . . . 1967 . . . . 1968 . . . . 1 9 6 9 _____ 2 2 2 2 2 ,3 ,2 ,0 ,2 ,2 15 68 18 29 57 2 , 0 18 1,754 1,607 1,778 1,817 297 514 4 11 451 440 1970 . . . . 1 9 7 1 .... 1 9 7 2 .... 1 9 7 3 .... 1 9 7 4 _____ 2 2 2 2 2 ,0 ,5 ,9 ,5 ,3 0 8 4 3 4 1,630 2 , 1 13 2,419 2,098 1,971 376 476 525 435 373 7 9 5 3 4 $902 97 1 1,020 Equ i p m e n t T o ta l $3,969 4,507 4,805 S tr u c tu r e s $733 799 847 $3,236 3,708 3,958 927 ,015 ,092 ,135 ,219 0 7 5 6 5 4 4 5 5 5 ,382 ,84 1 , 162 , 141 ,346 1 1 1 1 1,547 1,680 1,860 1,946 2 , 137 7,295 7,876 3,790 9,355 10,288 5 6 7 7 8 ,9 ,3 ,1 ,5 ,3 1,365 1,498 1,676 1,761 1,951 1,280 1,896 2,842 3,780 4,605 2 2 2 3 3 ,2 ,4 ,7 ,0 ,3 7 8 6 6 5 10,966 11,585 12,585 13,575 14,450 8,883 9,292 10,014 10,718 11,312 2 2 2 2 3 ,0 ,2 ,5 ,8 ,1 8 9 7 5 3 2 2 1 7 8 19,041 19,993 20,612 21,357 22,037 15,422 15,889 1 6 , 126 16,448 1 6 , 7 16 3 4 4 4 5 ,6 ,1 ,4 ,9 ,3 18 04 86 09 20 1 1 1 1 1 11,908 1 2 , 156 12,183 12,317 12,429 3 3 4 4 5 ,3 ,8 ,2 ,6 ,0 9 6 3 3 2 5 7 2 4 1 2 2 2 2 2 16,714 17,124 17,794 18,125 18,321 5 6 6 7 7 ,6 ,1 ,6 ,0 ,3 6 1 0 0 3 17,650 18,407 19,494 20,141 20,576 1 1 1 1 1 5 5 6 6 6 ,3 ,7 ,2 ,5 ,8 3 5 0 6 5 9 3 9 7 7 6 7 7 7 8 2 3 4 5 5 ,5 ,2 ,7 ,9 ,4 ,3 ,2 ,4 ,1 ,6 0 0 7 6 0 3 3 0 3 6 5 6 6 6 7 2 0 5 7 0 2 8 1 1 1 ________ S tr u c tu r e s 53 ,4 ,0 ,5 ,6 ,0 0 0 0 5 0 0 8 4 2 0 1,102 1,192 1,27 1 1,315 1,400 3 1 7 6 1 1 4 8 0 0 7 3 6 5 9 5 5 6 6 6 ,3 ,8 ,2 ,2 ,5 1 5 5 7 6 5,303 6,023 6,415 6,951 7,450 3 7 1 9 3 0 8 4 4 7 2,310 2,653 3,285 3,573 3,719 Sector 13. Ordnance and accessories: Historical dollars (Millions of dollars) — G ross G ross in v e s tm e n t Net s to c k s s to c k s Year T o ta l Equi pment S tr u c tu r e s i 1 9 4 7 _____ 1 9 4 8 _____ 1949. . . . $7 6 5 $5 4 3 $1 1 2 ! 1950 195 1 1952 1953 1954 _____ _____ _____ _____ _____ 7 20 4 18 63 4 12 2 13 50 2 7 1 5 13 I | 1955. .. . 1 9 5 6 --------1 9 5 7 --------1958 . . . . 1 9 5 9 _____ 60 53 55 75 7 1 4 1 35 35 46 47 18 18 19 29 24 1 9 6 0 _____ 1 9 6 1 _____ 1 9 6 2 _____ 1963. .. . 1 9 6 4 _____ 69 74 90 89 1 17 46 49 59 62 75 22 24 30 26 42 1965 1966 1967 1968 1969 _____ _____ _____ --------_____ 98 174 200 213 181 75 133 137 144 129 23 4 1 63 69 51 I i I 1970 197 1 1972 1973 1974 _____ _____ _____ _____ _____ 128 13 1 129 157 17 1 94 96 90 108 119 33 34 38 48 51 | | | | I I T o ta l Equi pment $460 450 434 $705 696 681 I S tr u c tu r e s T o ta l $245 246 247 Equi pment $630 603 57 1 $396 37 1 341 S tr u c tu r e s $234 232 230 I | 665 658 633 620 651 415 40 1 375 358 377 249 256 257 262 27 4 540 521 486 465 490 312 289 257 237 254 228 231 228 228 235 I I I | I 678 698 7 19 758 792 387 390 393 405 4 17 29 1 308 326 353 374 511 526 54 1 577 607 264 268 272 287 303 247 257 269 289 303 821 854 903 952 1,030 429 443 468 497 54 1 392 4 11 435 454 488 633 663 708 751 820 3 18 336 363 393 435 314 327 344 357 385 1 , 088 1,222 1,379 1,547 1,678 586 689 795 906 999 50 1 532 583 640 678 867 987 1,127 1,274 1,38 1 474 568 662 756 829 393 4 18 465 518 551 697 7 16 740 772 808 1 1 1 1 1 86 1 887 900 926 958 566 581 600 628 659 I | I 1,053 1,104 1,14 1 1 , 188 1,238 1,751 1,821 1,881 1,961 2,047 ,427 ,468 ,50 1 ,555 , 6 17 Sector 13. Ordnance and accessories: Constant dollars (Millions of 1972 dollars) I G ross in v e s tm e n t G ross s to c k s Net s to c k s Year l T o ta l I j E qu ip m e nt S tr u c tu r e s 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ | | | $13 10 8 | | 1 $10 7 5 $3 3 3 1950 1951 1952 1953 19 5 4 _____ ----------------_____ _____ I | I I | 13 31 6 28 93 | 1 1 | | 7 18 4 19 70 1955 1956 1957 1958 1959 _____ _____ --------_____ _____ I | | | | 90 73 72 10 1 94 | | | | | I960 1961 1962 1963 196 4 _____ _____ _____ _____ _____ | I | I | 90 97 117 114 155 1965 1966 1967 1968 1969 --------_____ _____ _____ _____ I | | | | 1970 1971 1972 1973 1974 _____ _____ _____ _____ _____ I I | I | T o ta l $1 I E qu ip m e nt S tr u c tu r e s | $1,629 1,560 1,484 I | | j E qu ip m e nt $869 809 742 $760 751 742 S tr u c tu r e s 1 1 820 795 758 I I | $1,015 989 950 5 12 2 9 23 1 1 1 1 1 7 15 686 627 586 609 | I | I | 905 864 805 757 759 8 10 82 1 822 829 849 1,408 1,348 1,263 1,201 1,206 | | | I | 673 6 16 544 490 491 734 732 7 19 7 10 7 14 59 44 43 54 56 31 28 29 46 38 1 1 1 1 1 627 625 620 640 651 | I | | | 749 723 695 677 66 1 877 90 1 924 962 990 1,207 1,193 1,177 1,191 1,197 I I | I | 483 463 444 438 437 724 730 733 752 759 | | | | | 54 58 70 74 91 35 38 47 40 63 1 655 1 664 1 695 1 726 1 800 | | | I | 643 632 637 652 690 1,011 1,032 1,058 1, 074 1,109 1,1 1,2 1,2 1,2 1,3 8 8 9 7 4 | | I | | 438 444 465 492 537 760 764 773 774 797 127 219 249 253 203 I | | | | 91 158 158 159 140 35 60 90 93 63 1 1 2 2 2 847 986 153 32 1 434 | | | | | 734 847 962 1,078 1,17 1 1 1 1 1 1 1,372 1,498 1,649 1,798 1,890 I | | I | 580 688 792 890 962 791 810 857 908 927 137 133 128 152 149 | | | | | 99 97 90 107 109 37 35 38 44 40 2 2 2 2 475 505 523 | | | 555 | 2 577 | 1,2 1,2 1,2 1,3 1,3 1,255 1,245 1,238 1,236 1,231 1 1 1 1 1 | | | I | 986 1,000 1,001 1 , 0 13 1,022 ___________ I_____ 54 19 60 85 18 46 $805 806 807 T o ta l ,1 ,1 ,1 ,2 ,2 1 3 9 4 6 3 8 0 3 3 ,9 ,9 ,9 ,9 ,9 9 0 3 6 3 08 15 12 27 37 921 9 14 9 11 914 9 14 Sector 14. Food and kindred products: Historical dollars (Millions of dollars) — — G ross in v e s tm e n t G ross s to c k s Net s to c k s Year I | T o ta l I I iquipm ent S tr u c tu r e s I I T o ta l E qu ip m e nt r | S tr u c tu r e s T o ta l r | $ 4,224 4,948 5,511 | I | Equ i p m e n t S tr u c tu r e s I 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ $1,043 966 825 | | | j $693 584 521 1950 1951 1952 1955 1954 _____ _____ _____ _____ _____ 731 782 605 649 815 | I | I | 489 510 424 450 576 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ 823 910 966 938 1,018 | | | I | 608 666 693 685 728 1960 196 1 1962 1963 1964 _____ _____ _____ _____ _____ 1,012 1,010 1,217 1,210 1,361 | I | I | 746 76 1 859 884 986 1965 1966 1967 1968 1969 --------_____ _____ _____ _____ 1 1 1 1 1 ,4 ,6 ,6 ,6 ,8 17 10 55 61 39 | | I | | 1,039 1,204 1,209 1,194 1,281 1970 197 1 1972 1973 1974 _____ _____ _____ _____ _____ 2 2 2 2 3 ,0 ,1 ,3 ,4 ,0 6 4 5 1 0 I I I | | 1,422 1,561 1,746 1,787 2,1 8 8 2 8 5 2 7 $349 38 1 303 | | $5,353 6,124 6,749 24 1 27 1 18 1 199 239 | $2,762 3,075 3,304 | | | | | 3 4 4 4 5 ,8 ,1 ,4 ,7 ,0 0 8 5 2 8 6 0 0 0 7 | I | | 3 3 3 3 4 ,4 ,6 ,7 ,8 ,0 I | 215 243 272 303 289 9,585 10,141 10,732 11,327 11,930 | | | | | 5 5 6 6 7 ,4 ,8 ,2 ,6 ,0 5 6 7 5 6 8 3 4 7 0 I | | | 4 4 4 4 4 , 127 ,277 ,457 ,670 ,870 | i | | 265 248 358 326 375 12,500 13,035 13,741 14,404 15,181 | | | j | 7,4 7,8 8 ,2 8 ,6 9,1 5 2 6 8 8 2 7 3 9 4 | j I | 5 5 5 5 5 ,0 ,2 ,4 ,7 ,9 | I | 378 406 445 466 558 15,98 16,93 17,90 18,84 19,92 0 7 7 7 8 | I | | | 1 1 1 1 9,700 0,354 0,986 1,575 2,222 | | | I | 6 6 6 7 7 ,2 ,5 ,9 ,2 ,7 I | | | | 639 586 609 625 8 18 2 2 2 2 2 0 0 6 4 8 | | | | | 12,977 13,833 14,833 15,831 1 7, 184 | I | I | _______ I__ 1 2 3 5 7 ,1 ,4 ,9 ,4 ,3 7 3 9 7 9 $2,590 3,049 3,444 3 4 8 7 2 | | | 7,2 7,8 8,1 8,5 9,0 I I j 9 9 4 0 9 _______ L_ 6 5 4 5 0 6 4 8 7 4 5 6 6 6 7 ,9 ,4 ,6 ,9 ,3 5 1 7 4 4 $2,115 2,548 2,90 1 $2,108 2,400 2,609 4 9 3 0 3 | | | | | 3 3 3 3 4 ,200 ,493 ,669 ,840 ,110 2 2 3 3 3 ,7 ,9 ,0 ,0 ,2 7,724 8,166 8,6 3 4 9,094 9,550 | | | I | 4 4 4 5 5 , , , , , 3 0 8 0 7 3 3 3 3 3 ,341 ,475 ,635 ,823 ,992 48 08 78 14 97 9,963 10,337 10,880 11,379 11,991 | | | | | 5,830 6,087 6,410 6,729 7 , 120 4 4 4 4 4 ,1 ,2 ,4 ,6 ,8 7 8 2 7 0 9 3 0 2 6 12,619 13,399 14,177 14,912 15,774 I | | | | 7,5 8,0 8,5 9,0 9,5 3 0 6 7 5 5 5 5 5 6 ,086 ,319 ,581 ,855 ,208 8 ,213 8,657 9,112 9,572 10,214 16,801 17,852 19,044 20,221 21,9 19 | I i | | 0,169 0,861 1,685 2,489 3,632 6 6 7 7 8 ,632 , 990 ,359 ,732 ,287 1 1 1 1 1 3 6 9 2 5 8 9 9 7 5 3 8 9 5 6 5 2 0 9 3 3 4 7 5 7 3 5 4 9 3 2 9 0 0 1 Sector 14. Food and kindred products: Constant dollars (Millions of 1972 dollars) G ross T o ta l I G ross in v e s tm e n t ---------------------------- ! E qu ip m e nt I S tr u c tu r e s $2,220 1,908 1,598 I I I I I T o ta l I I $17,928 19,132 20,003 I I I I | $775 763 632 I I I 1 I 503 503 323 356 434 I 1 I 1 2 2 2 2 2 0,645 | 1 ,2 1 3 1 1,394 | 1,592 | 1,985 | | 39 1 406 432 496 482 I I 1 2 2 2 2 2 2 2 2 3 3 ,3 ,6 ,9 ,2 ,6 2 4 5 9 4 3 4 5 3 5 | j I I | r~ 1947 . . 1948. . 1949. . Net s to c k s | ---------------------------$1,444 | 1,145 966 j Equ i p m e n t $6,759 7,515 8,0 9 5 S tr u c tu r e s E qu ip m e nt T o ta l 12,047 12,166 1 2 , 08S 12,029 12,039 15,755 16,155 16,168 16,215 16,483 | I I I | 6 7 7 7 7 ,9 ,2 ,3 ,4 ,7 36 51 6 2 72 23 I I I | 8 8 8 8 8 , , , , , 8 9 8 7 7 1 0 0 4 6 9 3 5 2 0 10,324 10,672 10,982 1 1,250 11,537 1 1 1 1 1 1,999 1,971 1, 972 2,043 2,107 1 1 1 1 1 6 6 7 7 7 ,713 ,939 ,156 ,393 ,634 | | I I | 7 8 8 8 8 ,9 ,2 ,3 ,5 ,6 7 0 9 3 9 i | I I I 8 8 8 8 8 ,7 ,7 ,7 ,8 ,9 3 3 6 5 3 7 4 1 6 8 1 1 1 1 1 7,819 7,956 8 , 36S 8,713 9,220 | I | | | 8,838 8,9 6 2 9 , 189 9,414 9,734 8,5 9,0 9,3 9,5 9,9 9 4 0 6 4 8 7 6 2 6 . . . 889 851 695 737 9 14 . . . . . 1,341 1,358 1,369 1,410 1,441 | | | I | 949 952 937 9 14 958 1960 . . 1961.. 1962. . 1963 . . 1964. . 1 1 1 1 1 ,412 ,390 ,688 ,645 ,828 I | I I I 969 976 1,101 1,119 1,232 | 1 I I 442 4 14 586 526 596 I I I I I 2 2 2 2 2 3 4 4 5 5 ,9 ,1 ,6 ,1 ,7 4 8 3 2 1 0 0 7 3 7 | | | | | 11,801 12,032 12,349 12,646 13,027 1 1 1 1 1 2 2 2 2 2 1965. 1966 . 1967 . 1968 . 1969 . 1,880 2,0 6 5 2,059 1,988 2,106 | I I | I 1,2 1,4 1,4 1,3 1,4 98 68 23 57 08 | | | I | 58 1 596 636 630 697 I I | I 2 2 2 2 2 6 7 7 8 9 ,3 ,1 ,9 ,5 ,3 4 3 0 8 6 2 4 5 6 5 I I | | | 1 1 1 1 1 3,450 4,026 4,541 4,976 5,445 1 1 1 1 1 2,891 3,108 3,363 3,610 3,920 19,753 20,445 21,098 21,643 22,267 I I I I | 2 2 2 2 2 | | I I I 1,5 1,5 1,7 1,7 1,9 1 9 4 5 3 I I 1 I 727 6 17 609 579 639 I I I | I 3 3 3 3 3 0 1 2 2 3 ,2 ,0 ,0 ,8 ,9 5 7 0 7 3 3 8 9 2 4 I | I | | 15,999 16,606 17,338 18,041 18,893 1 1 1 1 1 4 4 4 4 5 2 2 2 2 2 I | I | | 1955. 1956 . 1957 . 1958. 1959. . . . . . 1970 . . 1971.. 1972 . . 1973. . 1974. . ,2 ,2 ,3 ,3 ,5 40 11 55 31 76 3 3 6 2 6 I I ,1 ,1 ,3 ,4 ,6 3 4 3 7 9 9 8 8 6 0 ,253 ,471 ,671 ,830 ,041 2 3 4 5 5 ,9 ,6 ,3 ,0 ,8 8 1 5 0 5 2 9 2 8 7 ________________ [ _ 55 $8,144 8,503 8 ,7 3 1 1 I | | I | I 1 I I I | | I S tr u c tu r e s $13,455 14,536 15,269 ,392 ,354 ,018 ,093 ,349 . . $5,311 6,027 6,537 I I $11,169 11,616 11,907 1 1 1 1 1 1950 . 1951. 1952. 1953. 1954. s to c k s 1 6 4 4 6 6 I | 8,980 8,994 9, 179 9,299 9,485 10,103 10,620 11,066 11,417 11,787 I | | | 9,650 9,825 10,032 10,226 10,479 1 1 1 1 1 I I I I 1 1 1 1 1 2 2 3 3 4 ,228 ,708 ,300 ,852 ,542 I ____________L 0,754 0,911 1,051 1,156 1,315 Sector 15. Tobacco manufactures: Historical dollars (Millions of dollars) G ross in v e s tm e n t G ross s to c k s Net s to c k s Year T o ta l 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ E qu ip m e nt I S tr u c tu re s T o ta l 1 | E qu ip m e nt S tr u c tu r e s T o ta l Equ i p m e n t S tr u c tu r e s $36 24 23 $23 16 15 | $13 8 7 $ 1 10 132 151 | | | $63 77 90 $46 54 60 $95 1 15 133 $55 68 80 $40 47 53 166 18 1 200 226 250 | | | I | 99 108 121 140 159 67 73 79 86 90 146 158 174 196 215 87 93 103 1 19 135 59 65 70 76 80 1950 1951 1952 1953 1954 _____ _____ _____ _____ _____ 18 18 23 30 29 11 11 16 22 23 i j | I | 7 7 7 8 5 1955 1956 1957 1958 1959 _____ _____ --------_____ _____ 28 47 43 49 54 22 30 36 31 38 | I I I 6 16 6 17 15 272 313 348 389 433 I | I | | 177 202 232 256 286 95 110 1 16 132 146 232 267 296 330 366 148 169 193 2 12 236 84 98 103 1 18 130 1 9 6 0 _____ 1 9 6 1 _____ 1 9 6 2 _____ 1 9 6 3 .... 1 9 6 4 _____ 48 50 50 54 59 32 39 | 4 1 42 48 I | | 15 10 8 12 11 469 506 542 580 621 | | i | | 308 336 364 391 423 160 170 177 188 198 395 423 450 479 5 10 252 273 294 314 339 143 150 155 164 17 1 1965 1966 1967 1968 1969 60 59 53 5 1 6 1 47 46 42 41 46 I | 12 12 11 9 15 66 1 699 729 754 787 | I | | | 452 479 500 518 538 209 2 19 228 236 248 540 566 585 599 620 36 1 380 392 402 414 179 186 192 196 206 44 45 80 114 122 | | | I 12 49 53 66 63 812 874 97 1 1,113 1,258 I I | i | 554 570 6 18 697 783 257 304 353 4 16 475 635 686 773 905 1,038 423 43 1 472 546 625 2 12 254 300 359 413 _____ _____ _____ . . . . _____ 1 9 7 0 _____ 1 9 7 1 _____ 1 9 7 2 _____ 1973. . . . 1 9 7 4 _____ 56 95 134 181 186 j Sector 15. Tobacco manufactures: Constant dollars (Millions of 1972 dollars) -------------------------------r G ross G ross in v e s tm e n t s to c k s Net s to c k s Year T o ta l 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ | I | 1950 1951 1952 1953 1954 _____ _____ _____ _____ --------- ! I | j | 1955 1956 1957 1958 1959 _____ . . . . _____ _____ _____ I960 1961 1962 1963 1964 1965 1966 1967 1968 1969 E qu ip m e nt | S tr u c tu r e s $ 166 178 190 j 459 48 1 5 10 550 585 258 270 291 321 351 | I I | 200 2 10 2 18 228 233 j | I | 10 27 10 28 24 6 15 672 7 14 764 8 17 375 408 445 470 502 | I I I | 240 263 269 294 314 I | | 25 17 14 20 17 858 897 933 973 1,016 522 548 574 599 630 6 1 58 50 48 52 | | | | 19 18 16 12 18 1,056 1,091 1,115 1,130 1,154 657 679 693 702 7 14 47 46 80 111 108 | | | | 14 52 53 62 49 1 , 165 1 , 2 10 1,288 1,402 1,500 7 19 720 753 8 15 873 $29 16 15 37 34 4 1 54 50 23 20 29 40 40 I I I | | 14 14 12 14 9 | | | I | 47 76 62 73 77 37 48 52 44 33 | | I I | _____ _____ _____ _____ _____ | | | | | 69 70 70 76 81 43 52 55 56 63 | _____ --------_____ _____ _____ I | | | | 80 76 67 6 1 7 1 1 9 7 0 _____ 1 9 7 1 _____ 1 9 7 2 .... 1 9 7 3 _____ 1 9 7 4 .... | | | | j 6 1 98 134 173 158 ____________ 1__ $354 396 434 S tr u c tu r e s I | | | | _________ I__ E qu ip m e nt I I $ 187 2 17 243 $57 37 33 $86 54 48 T o ta l [ I | | E qu ip m e nt | | j $ 159 186 208 385 40 1 422 454 480 | j I I | 219 226 240 264 286 50 1 548 578 6 17 658 | I | | | 302 327 354 370 393 | I I | | 405 423 443 462 487 | | 688 7 16 742 772 804 I I I | 399 4 12 422 428 439 | | | | 834 857 869 872 884 | | | | | 507 522 529 531 535 446 490 534 587 626 I | | j 884 919 987 1,092 1,180 I | | | I 533 529 558 6 16 669 | | | | | | $292 332 365 I 335 348 358 373 385 | ____________ L_ 56 I T o ta l I I | | I | | | | | | S tr u c tu r e s $133 145 156 166 175 18 1 190 194 198 220 224 246 264 | | | 282 292 298 309 317 | | | 327 335 340 341 348 | I 350 389 429 476 510 Sector 16. Fabric,yarn, and thread mills: Historical dollars (Millions of dollars) G ross G ross in v e s tm e n t Net s to c k s s to c k s Year Equ i p m e n t T o ta l S tr u c tu re s T o ta l S tr u c tu r e s Equi pment $547 844 1,038 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 --------- $243 400 272 $166 315 211 $76 85 60 $1,101 1,452 1,677 1 9 5 0 --------1 9 5 1 .... 1 9 5 2 _____ 1 9 5 3 --------1 9 5 4 _____ 246 295 221 169 144 192 222 166 128 113 54 72 54 40 30 1,877 2,125 2,300 2,423 2,517 1 1 1 1 1 1 9 5 5 --------1 9 5 6 _____ 1 9 5 7 _____ 1 9 5 8 --------1 9 5 9 --------- 174 208 183 127 183 141 169 15 1 107 154 33 38 31 20 28 2 2 2 2 3 1960 . . . . 1 9 6 1 _____ 1 9 6 2 _____ 1963. .. . 1 9 6 4 --------- 220 204 263 27 1 35 1 184 163 2 12 224 275 36 40 50 47 76 1965 1966 1967 1968 1969 _____ _____ _____ _____ _____ 422 606 510 407 458 331 452 398 320 356 1970 197 1 1972 1973 1974 _____ _____ _____ _____ _____ 438 466 569 628 682 347 372 455 496 530 T o ta l Equ i p m e n t S tr u c tu r e s $553 608 638 $832 1 , 186 1,405 $468 760 942 $363 425 463 4 9 7 5 3 663 706 733 747 753 1,594 1,826 1,976 2,066 2 , 122 1,099 1,280 1,396 1,467 1,512 495 545 579 599 609 1,875 2 , 0 10 2,117 2,170 2,257 763 780 792 795 807 2 2 2 2 2 ,2 ,3 ,3 ,3 ,4 0 0 6 6 0 1 4 0 1 1,577 1,658 1 , 7 10 1,705 1,737 623 642 654 655 664 3 , 188 3,28 1 3,4 1 7 3,546 3,741 2 2 2 2 2 ,3 ,4 ,5 ,6 ,7 60 26 24 19 51 828 855 892 927 989 2 2 2 2 2 ,4 ,5 ,5 ,6 ,8 6 0 9 8 4 6 5 5 4 7 1,787 1,807 1,869 1,936 2,048 679 697 725 748 798 91 153 1 12 86 10 1 3 4 4 4 5 ,9 ,4 ,7 ,9 ,2 9 2 5 7 4 2 3 3 3 3 ,9 ,2 ,4 ,6 ,7 2 1 5 0 9 90 93 1 14 131 152 5 5 6 6 7 ,4 ,7 ,1 ,5 ,0 89 63 38 67 41 ,639 ,791 , 9 10 ,965 ,065 5 3 0 0 0 ,2 ,4 ,5 ,6 ,7 1 1 6 7 6 8 8 1 5 4 3,976 4 , 184 4,473 4,802 5 , 157 0 1 1 1 1 1 ,0 ,2 ,2 ,3 ,4 6 0 9 6 4 6 4 8 5 5 3 3 3 3 4 ,0 ,4 ,7 ,9 ,2 75 80 8 1 70 02 2 2 2 2 3 1 1 1 1 1 ,5 ,5 ,6 ,7 ,8 1 7 6 6 8 2 9 4 4 3 4 4 4 5 5 ,4 ,6 ,9 ,2 ,6 0 2 3 8 6 3 , 180 3,348 3,587 3,853 4,134 5 4 3 4 9 ,2 ,4 ,7 ,8 ,0 14 96 19 58 27 86 1 983 1,061 1,112 1,175 1 1 1 1 1 ,225 ,276 ,346 ,431 ,534 ________ __________ Sector 16. Fabric, yarn, and thread mills: Constant dollars (Millions of 1972 dollars) G ross in v e s tm e n t G ross s to c k s Net s to c k s Year ~ r T o ta l 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ $597 902 595 Equ i p m e n t S tr u c tu r e s $426 732 470 $170 170 125 1 9 5 0 _____ 1 9 5 1 _____ 1 9 5 2 _____ 1953. . . . 1 9 5 4 _____ 530 56 1 4 17 3 15 265 4 17 427 319 242 209 112 133 97 72 56 1955 1956 1957 1958 1959 307 342 282 193 27 1 247 278 233 159 223 59 64 49 33 47 1 9 6 0 _____ 1 9 6 1 _____ 1 9 6 2 _____ 19 6 3 . . . . 1 9 6 4 _____ 322 297 378 383 487 262 230 294 306 366 1 9 6 5 _____ 1 9 6 6 _____ 1 9 6 7 _____ 1968. .. . 1 9 6 9 _____ 576 809 646 494 527 1 9 7 0 _____ 1 9 7 1 .... 1 9 7 2 _____ 1 9 7 3 _____ 1 9 7 4 _____ 477 478 569 604 576 _____ _____ _____ _____ _____ T o ta l I $3,924 4,608 4,994 | | | 5 5 5 6 6 , , , , , 3 6 9 0 1 2 8 0 3 0 E q u i p men- f c $1,655 2,319 2,726 S tr u c tu r e s $2,268 2,288 2,267 2 5 9 3 7 | | | I | 3 3 3 3 4 ,0 ,4 ,7 ,8 ,0 6,221 6,365 6,436 6,403 6,431 | | | | | 4 4 4 4 4 , 166 ,343 ,453 ,467 ,519 2,054 2,0 2 2 1, 982 1,936 1,911 60 67 83 76 120 6 6 6 6 6 ,4 ,4 ,5 ,5 ,6 5 7 1 5 1 | | | | | 4 4 4 4 4 ,5 ,5 ,6 ,6 ,6 435 580 486 377 400 140 228 159 1 16 127 6 7 7 7 7 ,8 8 1 ,295 ,545 ,650 ,797 | | | | | 373 380 455 482 457 103 98 1 14 122 1 19 7 8 8 8 8 ,9 ,0 ,2 ,5 ,7 | | | | | 8 8 4 7 9 0 2 5 1 4 8 9 1 4 7 83 48 03 76 07 3 3 0 5 9 9 6 5 6 9 $2,738 3,459 3,864 S tr u c tu r e s $1,371 2,027 2,406 $1,366 1,432 1,457 9 5 5 3 5 8 3 3 7 9 2,7 2 1 3,032 3,218 3 , 3 10 3,350 1,476 1,521 1,534 1,527 1,509 | I 4 4 4 4 4 ,9 ,9 ,9 ,8 ,7 07 72 57 33 71 3,408 3,476 3,476 3,381 3,331 1,498 1,495 1,481 1,452 1,440 1,905 1,911 1,938 1,962 2,032 | | | | | 4 4 4 4 4 ,7 ,6 ,6 ,6 ,7 4 7 8 8 9 4 7 2 7 4 3 3 3 3 3 ,3 ,2 ,2 ,2 ,2 0 2 1 0 5 3 9 2 2 3 1,440 1,447 1,470 1,484 1,541 4,757 4,994 5 , 139 5 , 182 5,262 2 2 2 2 2 ,1 ,3 ,4 ,4 ,5 2 0 0 6 3 3 0 6 7 5 | | | | 4 5 5 5 5 ,9 ,4 ,6 ,8 ,9 9 2 9 0 6 1 3 1 8 1 3 3 3 3 4 ,3 ,6 ,8 ,9 ,0 76 49 31 08 12 1 , 6 14 1,773 1,860 1,900 1, 9 4 9 5 5 5 5 6 2 2 2 2 2 ,5 ,6 ,6 ,7 ,7 7 0 5 0 4 6 8 3 2 5 | | | | 6 6 6 6 6 ,0 ,1 ,3 ,5 ,7 62 60 43 48 11 4 4 4 4 4 ,0 9 1 , 173 ,3 2 6 ,4 9 6 ,627 1,971 1,986 2 , 0 16 2,052 2,084 | I | | I ____________ L 57 Equ i p m e n t ,1 ,5 ,7 ,8 ,8 ,332 ,421 ,598 , 8 12 ,002 ,2 ,2 ,2 ,1 ,0 | T o ta l 4 4 4 4 4 80 75 02 12 58 2 2 2 2 2 I | __________ Sector 17. Miscellaneous textile goods and floor coverings: Historical dollars (Millions of dollars) G ross G ross in v e s tm e n t Net s to c k s s to c k ; Year Equ i p m e n t T o ta l I $73 82 8 6 125 135 14 1 145 150 290 330 357 383 406 197 226 246 268 284 93 103 1 10 1 15 121 352 374 402 423 443 163 165 174 180 188 430 446 473 490 507 295 308 327 338 349 134 137 145 15 1 158 460 484 502 517 550 195 205 2 11 2 18 232 520 543 556 569 608 356 37 1 380 388 416 164 172 176 18 1 192 588 638 68 1 759 858 250 269 295 330 390 656 7 18 779 884 1,033 449 495 534 608 701 206 222 244 275 331 429 453 488 527 599 1 , 156 1,230 1,328 1,462 1,643 791 846 913 1,014 1, 129 365 384 414 448 514 $25 48 31 $ 11 13 8 $235 285 314 1950 . . . . 1951 . . . . 1952. . . . 1953. . . . 1 9 5 4 _____ 49 53 42 43 40 38 38 30 34 30 11 15 11 9 9 352 394 425 456 484 226 259 283 31 1 334 1955 . . . . 1956 . . . . 1957 . . . . 1958. . . . 1 9 5 9 _____ 44 37 50 42 45 26 30 37 32 34 17 7 12 10 11 515 540 576 603 631 1960 . . . . 1 9 6 1 .... 1962. . . . 1 9 6 3 .... 1 9 6 4 --------- 43 55 48 49 76 32 4 1 38 38 59 10 13 9 10 17 656 690 7 13 736 783 1 9 6 5 .... 1966 . . . . 1967. . . . 1968 . . . . 1 9 6 9 _____ 86 103 104 149 197 65 80 74 1 11 132 20 23 29 38 65 838 907 977 1,089 1/249 1970 . . . . 1 9 7 1 .... 1972. . . . 1973. . .. 1 9 7 4 _____ 175 130 158 200 252 131 100 1 16 153 173 43 29 41 46 78 I 957 1,023 1,105 1,223 1,359 1,386 1,476 1,593 1,750 1,958 __________ __________ S tr u c tu r e s $102 143 167 $37 6 1 40 | I I Equ i p m e n t T o ta l $176 226 253 $109 1 17 120 $125 168 194 1947 . . . . 1948 . . . . 1 9 4 9 _____ | S tr u c tu r e s E qu ip m e nt T o ta l S tr u c tu re s I I Sector 17. Miscellaneous textile goods and floor coverings: Constant dollars (Millions of 1972 dollars) — Gross investm e G ross Year T o ta l Equ i p m e n t S tr u c tu r e s T o ta l s to c k s Equi pment Net S tr u c tu r e s T o ta l s to c k s Equ i p m e n t S tr u c tu r e s 1 9 4 7 _____ 1 9 4 8 .... 1 9 4 9 .... $90 140 88 $65 1 13 7 1 $25 26 17 $856 949 99 1 $398 493 544 $457 456 446 9 5 0 _____ 9 5 1 .... 952. . . . 9 5 3 .... 9 5 4 .... 106 102 79 80 73 82 75 58 6 3 55 23 27 20 16 17 1,050 1,106 1 , 139 1,173 1,20 1 606 660 697 738 770 444 446 442 435 430 80 1 857 889 920 942 506 554 582 6 13 633 294 303 307 307 308 1 9 5 5 _____ 1956 . . . . 1 9 5 7 .... 1 9 5 8 .... 1 9 5 9 .... 78 6 1 77 64 6 7 46 49 57 47 49 32 11 19 17 18 1 1 1 1 1 ,235 ,251 ,283 ,300 ,318 793 8 16 846 864 879 442 434 436 436 438 968 973 992 994 997 642 650 663 662 661 326 323 328 332 336 442 450 452 456 47 1 992 1,002 998 993 1,023 652 654 648 640 659 340 348 350 352 38 1 400 427 462 525 1 1 1 1 1 $597 695 739 $ 3 12 403 450 1 9 6 0 _____ 1 9 6 1 .... 1 9 6 2 .... 1 9 6 3 .... 1 9 6 4 .... 63 80 68 69 106 45 58 53 53 79 17 21 15 16 ?6 1 1 1 1 1 ,329 ,352 ,358 ,361 ,397 886 902 906 904 925 1 9 6 5 _____ 1 9 6 6 .... 1 9 6 7 .... 19 6 8 . . . . 1 9 6 9 .... 1 18 13/ 133 182 229 86 103 91 130 148 32 34 42 52 81 1 1 1 1 1 ,442 ,504 ,561 ,667 ,822 950 989 1,015 1,082 1, 168 492 514 545 585 653 1 , 066 1, 127 1, 183 1,289 1,439 684 726 756 826 913 1 9 7 0 _____ 1 9 7 1 .... 19 7 2 . . . . 1 9 7 3 .... 1974 . . . . 191 134 158 192 210 14 1 102 1 16 149 148 49 31 41 42 61 1,938 1, 9 99 2,084 2,204 2,341 1,249 1,292 1,351 1,443 1,534 689 706 733 760 806 1,548 1,597 1,667 1,768 1,881 992 1,029 1, 078 1/157 1,230 | 58 $285 29 1 289 364 556 * >68 589 650 Sector 18. Apparel: Historical dollars (Millions of dollars) G ross in v e s tm e n t G ross s to c k s Net s to c k s Year T o ta l Equ i p m e n t 1 9 4 7 _____ 1948. .. . 1 9 4 9 _____ $ 156 166 147 1 9 5 0 _____ 1 9 5 1 _____ 1 9 5 2 _____ 1 9 5 3 _____ 1 9 5 4 _____ 103 98 90 96 93 84 79 72 76 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ 116 122 137 1 12 125 89 95 117 86 96 1960 196 1 1962 1963 1964 _____ _____ _____ _____ _____ 126 123 14 1 159 168 96 99 110 125 123 1965 1966 1967 1968 1969 _____ _____ _____ _____ _____ 229 337 27 1 335 42 1 179 227 204 239 296 1970 197 1 1972 1973 1974 _____ _____ _____ _____ _____ 390 514 675 578 517 292 398 530 437 382 $120 143 128 111 I ' S tr u c tu re s | | | T o ta l Equi pment S tr u c tu r e s T o ta l Equ i p m e n t S tr u c tu r e s $35 23 19 $669 8 13 936 $ 4 13 542 656 $256 270 280 $546 683 796 $355 477 580 $190 205 2 16 17 18 18 17 19 1, 022 1,099 1,166 1,221 1,275 734 80 1 859 905 948 288 297 307 315 326 867 925 970 1,002 1,033 642 690 726 748 769 224 234 244 253 263 26 27 20 25 29 1,342 1,411 1,491 1,542 1,602 999 1,049 1,116 1,149 1, 187 343 362 374 392 414 1,079 1,126 1, 184 1 , 2 12 1,249 798 828 875 887 905 280 298 309 325 344 | 30 24 31 34 45 1,6 1,7 1,7 1,8 1,9 5 0 6 3 0 8 5 4 4 3 1 1 1 1 1 ,220 ,250 ,284 ,327 ,363 437 455 479 506 544 1 1 1 1 1 83 10 50 05 66 920 933 954 987 1,016 363 376 396 4 17 449 | | | | | 50 1 10 67 95 124 2 2 2 2 2 ,0 ,2 ,4 ,6 ,9 3 7 4 7 8 8 5 4 4 9 1,452 1,587 1,697 1,842 2,042 586 688 746 832 946 1,586 1,809 1,961 2,170 2,456 1,100 1,229 1,330 1,462 1,645 485 580 630 707 811 | | | | | 97 115 145 141 135 3 3 4 4 5 ,2 ,6 ,2 ,6 ,0 6 6 2 7 4 9 8 3 1 8 2 2 2 3 3 2 3 3 3 4 1 , 8 13 2,077 2,459 2,728 2,924 887 979 1,098 1,212 1,316 I I | I I ________________L_ ,2 ,5 ,9 ,2 ,5 3 3 5 7 3 7 3 5 7 4 __________ 1,032 1, 135 1,267 1,394 1,514 ,2 ,3 ,3 ,4 ,4 ,70 1 ,0 5 7 ,558 ,940 ,241 __________ Sector 18. Apparel: Constant dollars (Millions of 1972 dollars) — G ross T o ta l G ross in v e s tm e n t Equ i p m e n t $236 259 228 S tr u c tu r e s Equ i p m e n t T o ta l S tr u c tu r e s s to c k s Equi pment T o ta l S tr u c tu r e s $709 7 17 7 19 $1,025 1,026 1,020 $1,527 1,742 1,910 $817 1, 024 1,191 ,505 ,591 ,661 ,708 ,748 1,011 1,002 992 982 977 1, 999 2,048 2,078 2,083 2,089 1,281 1,331 1,363 1,371 1,376 7 7 7 7 7 1 6 7 2 0 1,796 1,833 1,887 1,894 1,906 985 993 989 997 1,013 2 2 2 2 2 ,1 ,1 ,1 ,1 ,1 1 3 6 5 6 8 8 5 6 1 1 1 1 1 1 ,391 ,399 ,426 ,407 ,396 727 739 739 749 765 4 1 49 73 12 60 1,909 1,906 1 , 908 1,923 1 , 928 1,032 1,042 1,064 1, 089 1,13 1 2 2 2 2 2 ,1 ,1 ,1 ,2 ,2 6 5 6 0 4 1 1 5 0 8 1,378 1,360 1,356 1,370 1,381 783 790 809 830 867 77 162 95 129 155 3 , 178 3,438 3,597 3,823 4,130 1,999 2 , 126 2,220 2,348 2,532 1, 179 1,311 1,377 1,474 1,598 2 2 2 2 3 ,3 ,6 ,7 ,9 ,2 6 3 8 9 8 9 0 3 8 6 1,460 1,596 1,692 1 , 8 18 1, 9 9 2 1 1 1 1 1 11 4 4 5 5 5 2 2 3 3 3 1,675 1,763 1,873 1,968 2,036 3 3 4 4 4 ,5 ,8 ,2 ,5 ,7 0 1 6 7 5 4 8 4 4 0 2 2 2 2 3 1,360 1,437 1,535 1 , 6 16 1,671 $79 47 39 $975 1,197 1,386 $2,001 2,223 2,406 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ $ 3 15 306 267 1950 . . . . 1 9 5 1 .... 1 9 5 2 _____ 1953. . . . 1 9 5 4 _____ 197 166 156 142 150 16 1 132 123 111 1 16 36 34 32 3 1 34 2 2 2 2 2 ,5 ,5 ,6 ,6 ,7 1 9 5 9 2 7 4 4 1 5 1 1 1 1 1 1 9 5 5 .... 1956 . . . . 1957 . . . . 1958. . . . 1 9 5 9 _____ 18 1 177 187 156 173 133 132 156 1 14 124 47 44 31 4 1 48 2 2 2 2 2 ,7 ,8 ,8 ,8 ,9 8 2 7 9 2 1 9 6 0 _____ 1 9 6 1 _____ 1 9 6 2 .... 1 9 6 3 _____ 1 9 6 4 _____ 172 165 191 2 13 225 122 125 139 158 153 50 40 51 54 7 1 2 2 2 3 3 ,9 ,9 ,9 ,0 ,0 1 9 6 5 .... 1 9 6 6 _____ 1967 . . . . 1968. . . . 1 9 6 9 _____ 298 439 336 40 1 481 22 1 277 240 272 325 1 9 7 0 _____ 1 9 7 1 _____ 1 9 7 2 _____ 1 9 7 3 .... 1 9 7 4 _____ 422 528 675 559 444 3 11 406 530 428 338 Net s to c k s 122 145 130 105 ,3 ,7 ,2 ,5 ,8 7 3 2 9 4 9 2 6 8 5 59 ,7 ,9 ,3 ,6 ,8 0 6 5 3 0 3 8 3 0 8 ,1 ,3 ,7 ,9 ,0 4 8 2 5 7 3 1 9 7 9 18 17 15 11 12 908 ,033 ,091 ,179 ,293 Sector 19. Miscellaneous fabricated textile products: Historical dollars (Millions of dollars) ------------------------------Gross i nvestm e n t G ross r s to c k s Net s to c k s Year I I T o ta l 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ E qu ip m e nt S tr u c tu re s T p ta l i | E qu ip m e nt I i I | $69 80 87 155 170 180 19 1 209 | | | | | 95 106 1 14 12 1 130 $ 18 21 14 I 1 I $ 11 14 9 $6 7 4 _____ _____ _____ _____ _____ 15 20 16 16 25 j | I | | 11 14 12 12 14 3 5 3 4 10 1 9 5 5 _____ 1 9 5 6 _____ 1 9 5 7 _____ 1 9 5 8 _____ 1 9 5 9 _____ 20 21 19 24 25 | | | | | 15 16 16 15 15 4 4 3 8 9 222 235 247 262 278 | | | | | 139 149 159 167 174 1 9 6 0 --------1 9 6 1 .... 1 9 6 2 --------1 9 6 3 _____ 1 9 6 4 _____ 24 21 25 34 33 | I | | | 14 16 16 24 20 10 5 8 9 12 292 302 315 335 354 I | | I | 180 186 192 205 214 _____ _____ _____ _____ _____ 50 48 57 67 85 I I | I I 40 33 40 50 65 9 14 16 17 19 389 422 463 514 581 I | | | | 24 1 262 289 325 376 1 9 7 0 _____ 1 9 7 1 _____ 1 9 7 2 _____ 1 9 7 3 _____ 1 9 7 4 _____ 108 104 91 105 I | I | 111 I 86 85 70 76 96 22 19 21 29 14 670 755 824 905 990 I | | | I 446 5 15 567 623 6 98 1950 195 1 1952 1953 1954 1965 1966 1967 1968 1969 $116 133 143 ________________ I_____ i | S tr u c tu r e s r | T o ta l E quipm ent | S tr u c tu r e s $46 52 56 | | $99 1 14 122 $58 67 72 | I | $4 1 46 49 59 64 66 69 79 | | | | 131 143 15 1 158 173 79 87 93 98 104 I I I | 52 56 57 60 68 82 86 88 95 103 | | | | | 183 193 200 2 12 223 112 119 126 13 1 136 | j | | | 7 1 73 74 80 87 112 115 122 130 140 | | | | | 233 239 248 265 280 139 142 146 157 164 | j | | | 94 96 10 1 107 116 | | I | 148 160 173 188 205 | | 3 12 340 376 42 1 482 189 208 232 264 310 | | I | | 122 132 144 156 17 1 | | | | 224 239 256 28 1 292 | | | | 563 637 694 76 1 830 375 436 478 523 584 I I 1 | 188 20 1 216 238 245 I | | I | | | | | | | | | I ________________ l____ ________________ I___ ________L Sector 19. Miscellaneous fabricated textile products: Constant dollars (Millions of 1972 dollars) G ross i n vestm ent G ross Net s to c k s s to c k s Year T o ta l | E qu ip m e nt 1 S tr u c tu r e s E qu ip m e nt | S tr u c tu r e s T o ta l | E qu ip m e nt S tr u c tu r e s | | j $193 2 14 223 | $ 178 188 195 $307 333 343 I 435 455 467 477 50 1 | | I I | 235 249 258 264 273 | I I | | 199 206 209 2 12 227 353 367 373 377 395 I I I I | 187 197 202 205 21 1 165 170 170 17 1 184 | I I I | 5 14 526 532 545 558 | | I j I 283 29 1 297 30 1 304 I | | 231 234 235 243 254 402 408 408 415 422 I | j | | 2 17 22 1 225 225 225 185 186 183 189 197 16 8 13 15 20 I I | I | 569 572 580 598 614 | I | | | 303 304 305 3 15 318 | I | | 265 268 275 283 296 428 427 43 1 446 460 I | | | | 222 221 22 1 230 233 205 205 210 216 227 14 2 1 23 23 24 1 | | | 650 682 723 772 837 | I I | | 346 365 391 426 476 | I | I | 303 3 16 331 345 36 1 493 522 560 605 665 | I I | | 26 1 279 304 337 382 232 243 255 268 282 25 20 21 26 I I I | 11 I 921 995 1,051 1,115 1,173 I | | | | 544 607 652 699 755 | | | | I 377 387 399 4 15 417 742 806 851 902 944 I I I I | 445 50 1 536 573 6 16 296 304 314 328 328 I 1 | $25 29 18 1 9 5 0 _____ 1 9 5 1 _____ 1 9 5 2 _____ 1 9 5 3 _____ 1 9 5 4 _____ 29 34 27 27 42 I | | | | 22 24 21 20 23 | 1 I | 18 1955 1956 1957 1958 1959 _____ . . . . _____ _____ _____ 32 32 28 35 36 I 1 | I | 24 24 23 21 21 | I j I I 7 7 4 13 15 1 9 6 0 _____ 1 9 6 1 .... 1 9 6 2 _____ 1 9 6 3 _____ 1 9 6 4 _____ 35 30 35 47 46 I | I | | 19 I 21 22 32 26 I I | | 1965 1966 1967 1968 1969 _____ _____ _____ _____ _____ 65 62 72 8 1 97 | | | 1 | 50 4 1 49 57 72 I I | | 1 9 7 0 _____ 1 9 7 1 .... 1 9 7 2 _____ 1 9 7 3 _____ 1 9 7 4 _____ 117 107 91 10 1 96 | | I | | 9 1 87 70 74 85 | | | | | $371 403 4 18 $39 42 28 ____________1__ T o ta l I I | j 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ I | 1 $14 13 9 | I 7 10 6 7 | | I | ___________ I___ ____________ L_ 60 ____________ l___ $ 1 57 174 179 $150 159 163 Sector 20. Lumber and wood products excluding containers: Historical dollars (Millions of dollars) — G ross Year G ross in v e s tm e n t ----------------------------j Net s to c k s s to c k s | r r T o ta l 1947. . . . 1 9 4 8 _____ 1 9 4 9 _____ $235 248 188 I E qu ip m e nt I S tr u c tu re s T o ta l E qu ip m e nt I I I $ 155 174 133 I | | $79 74 55 $1,144 1,343 1,481 | | | $464 620 736 I S tr u c tu r e s $679 722 744 ,1 ,5 ,8 ,3 ,0 9 0 9 1 1 4 6 1 1 3 | I 0 1 7 4 0 4 5 5 6 7 ,834 ,2 3 1 ,745 ,271 , 1S5 328 248 312 393 363 I | I I I 24 1 178 231 264 27 1 | | 87 69 80 128 92 3 3 3 4 4 ,5 ,6 ,8 ,0 ,2 13 38 15 61 65 | I I I 2 2 2 2 2 ,2 ,3 ,4 ,5 ,6 4 2 3 6 9 5 0 4 9 9 1 9 6 5 _____ 1966 . . . . 1 9 6 7 _____ 1968. .. . 1 9 6 9 _____ 479 476 425 481 587 | 373 330 337 397 47 1 4 4 5 5 5 , , , , , 5 8 1 3 7 7 7 0 8 6 5 2 8 9 4 I I I I | 105 96 88 S3 116 2 3 3 3 3 ,9 ,1 ,3 ,5 ,8 2 4 1 3 1 2 2 0 0 5 | | | 1,652 1,729 1,797 1,858 1 , 949 110 143 190 17 1 280 6 6 7 7 8 ,0 ,5 ,1 ,7 ,7 7 5 5 7 9 5 1 0 1 2 I I 4 4 4 5 6 ,0 ,4 ,8 ,3 ,1 4 0 5 3 2 3 7 0 8 0 | | | | | 2 2 2 2 2 | | 3 3 3 4 5 6 0 7 9 0 19 6 0 . . . . 1 9 6 1 .... 1962 . . . . 1 9 6 3 _____ 1 9 6 4 _____ I I | I I I I ,6 ,9 ,0 ,2 ,6 1,565 1,728 1,830 1, 949 2,096 | ,384 ,439 ,482 ,518 ,583 3 3 4 4 4 | | | | | | __________ !___ 1 1 1 1 1 I I | I 38 60 91 82 97 I I I 2 3 7 1 3 ,5 ,7 ,8 ,0 ,2 I I I I 5 2 4 5 6 6 3 5 5 0 2 2 2 3 3 425 575 668 725 1,034 7 6 9 7 1 ,8 ,9 ,0 ,2 ,4 92 86 53 95 9 1 1 ,2 ,4 ,5 ,7 ,0 2 2 3 3 3 | I | I | | 2 2 2 2 3 ,268 ,318 ,380 ,491 ,565 224 221 169 192 228 536 7 18 858 897 1,315 I | I | | 1 1 1 1 1 | I I I I 1970 . . . . 1 9 7 1 .... 19 7 2 . . . . 1973. .. . 1 9 7 4 _____ ,0 ,1 ,1 ,2 ,3 | | I | 3 17 308 223 288 319 | 1 1 1 1 1 4 1 3 1 8 _____ _____ _____ _____ _____ | | | I | | | I | 1,785 1,816 1,891 1,989 2,085 0 9 8 3 9 1955 1956 1957 1958 1959 | | | 792 854 882 952 1,017 ,1 ,2 ,3 ,5 ,6 891 1,054 1,166 1,263 1,391 i I I | i | | I | 2 2 2 2 2 I | I I | | 1,311 1,437 1,500 1,578 1,681 973 1,032 1,060 1,132 1,201 1,672 1,884 2,011 2,132 2,301 | 574 630 650 680 725 | I | I | 68 82 46 55 70 | | I I I I | | ,367 ,561 ,663 ,758 ,897 I I I I I I 793 931 1,013 1,078 1,172 1 1 1 1 1 172 183 137 130 169 ,0 ,1 ,2 ,4 ,6 31 43 99 33 7 1 S tr u c tu r e s $458 505 532 780 830 845 868 909 I I I I | j I I | I | | 24 1 265 183 185 24 0 | E qu ip m e nt $859 1,057 1,189 1 9 5 0 _____ 1 9 5 1 _____ 1952. .. . 1 9 5 3 _____ 1 9 5 4 _____ | T o ta l [ $40 1 552 656 | | | | I | __________ L_____________I__ 76 16 66 61 17 1,639 1,724 1,854 1,960 2,17 1 Sector 20. Lumber and wood products excluding containers: Constant dollars (Millions of 1972 dollars) — G ross in v e s tm e n t G ross s to c k s Net s to c k s Year r T o ta l | e qu ip m e nt | S tr u c tu r e s Equ i p m e n t 3 2 8 5 4 | | | | | 1,814 2,028 2,135 2,212 2,337 1 1 1 1 1 1 0 3 5 9 2 6 7 6 8 I | I I | 2 2 2 2 2 ,5 ,6 ,6 ,7 ,8 2 6 9 3 0 1,885 1,943 1, 945 2,0 2 1 2,094 ,0 ,0 ,1 ,3 ,4 3 4 3 2 5 5 5 3 7 5 I | I | | 2 2 2 2 3 ,8 ,8 ,8 ,9 ,0 7 4 8 5 5 5 6 6 6 ,7 ,9 ,0 ,2 ,4 1 4 8 4 8 8 6 1 3 8 | | | I | 6 6 7 7 8 ,6 ,9 ,2 ,6 ,2 25 01 79 40 42 I I | | I I | 1 9 5 0 _____ 1 9 5 1 .... 1 9 5 2 .... 1 9 5 3 _____ 1 9 5 4 _____ 487 479 323 327 420 | | | | | 345 326 240 229 292 | | | | 14 1 152 82 97 128 4 5 5 5 5 ,754 ,021 ,125 ,222 ,403 2 2 2 2 2 ,0 ,3 ,5 ,6 ,8 9 5 2 6 5 4 8 5 4 0 2 2 2 2 2 ,6 ,6 ,5 ,5 ,5 5 6 9 5 5 9 2 9 7 2 3 3 3 3 4 ,5 ,8 ,9 ,9 ,1 6 2 0 8 4 1 9 5 5 .... 1 9 5 6 _____ 1 9 5 7 _____ 1 9 5 8 _____ 1 9 5 9 _____ 541 479 326 424 460 | | I | | 373 335 24 1 267 308 | I | | 167 143 85 157 15 1 5 5 5 6 6 ,6 ,9 ,9 ,1 ,3 9 1 8 4 3 4 7 2 3 4 3 3 3 3 3 ,1 ,2 ,3 ,4 ,6 0 9 9 9 3 1 9 1 8 4 2 2 2 2 2 ,5 ,6 ,5 ,6 ,7 93 17 91 44 00 4 4 4 4 4 ,4 ,6 ,6 ,7 ,8 1 9 6 0 _____ 1 9 6 1 .... 1 9 6 2 _____ 1 9 6 3 _____ 1 9 6 4 _____ 467 353 440 555 497 | I | | | 32 1 23S 308 347 351 | 145 1 15 132 207 145 6 6 6 6 7 ,5 ,5 ,7 ,9 ,1 2 8 2 6 3 3 6 2 0 1 3 3 3 3 4 ,765 ,795 ,875 ,978 ,071 2,757 2,791 2,847 2,982 3,060 5 5 5 5 5 1965 1966 1967 1968 1969 64 1 6 17 535 575 673 | | | I | 479 475 411 462 529 | I | | | 162 14 1 124 1 12 143 7 7 7 8 8 ,4 ,7 ,8 ,1 ,4 3 1 9 1 2 7 1 8 6 4 4 4 4 4 5 ,2 ,4 ,6 ,7 ,0 3 , 156 3,232 3,291 3,338 3,412 | I | | I 457 587 668 704 907 | I | 125 150 190 159 2 19 8,631 8,979 9,4 3 2 9,8 7 5 10,566 5 5 5 6 6 , 166 ,439 ,783 , 154 , 7 19 3 3 3 3 3 583 738 858 863 1,126 6 3 4 2 4 5 9 8 0 7 $2,768 3,097 3,283 I I ________________ ___ _______________ ________________ ____ ________________ l _ ,4 ,5 ,6 ,7 ,8 61 S tr u c tu r e s $1,071 1,373 1,563 $36 1 369 27 1 80 79 06 78 12 $2,724 2 , 7 15 2,67 1 Equ i p m e n t I | | | I | 1 9 7 0 _____ 1 9 7 1 .... 1 9 7 2 _____ 1 9 7 3 .... 1 9 7 4 _____ $1,281 1,592 1,806 T o ta l $537 518 383 _____ . . . . _____ _____ _____ $4,006 4,307 4,478 S tr u c tu r e s 1 9 4 7 _____ 1 9 4 8 .... 1 9 4 9 _____ | | $175 148 112 T o ta l 7 3 1 4 4 $1,697 1,724 1 , 7 19 ,749 ,794 ,773 ,773 ,807 3 8 4 2 18 2 2 2 2 2 ,1 ,1 ,2 ,3 ,4 6 9 4 7 3 3,2 3,3 3,4 3,6 3,8 07 85 89 37 4 1 2 2 2 2 2 ,5 ,5 ,5 ,6 ,6 11 6 1 9 1 06 47 3 4 4 4 5 5 9 9 1 2 2 2 2 2 2 ,6 ,7 ,7 ,8 ,9 6 0 8 2 2 ,9 ,1 ,4 ,8 ,3 9 5 6 6 0 1 7 9 5 6 6 6 3 4 2 Sector 21. Wooden containers: Historical dollars (Millions of dollars) G ross in v e s tm e n t G ross s to c k s Net s to c k s Year T o ta l 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ Equi pment S tr u c tu re s T o ta l Equi pment S tr u c tu r e s T o ta l Equ i pine n t S tr u c tu r e s $13 60 2 1 $9 51 17 $4 9 3 $60 1 19 138 $39 89 105 $21 30 33 $54 1 12 129 $35 84 99 $ 18 27 29 1950 1951 1952 1953 1954 _____ _____ _____ _____ _____ 33 67 8 11 10 25 55 6 9 7 7 12 2 2 3 170 235 24 1 250 257 130 184 188 196 200 39 51 52 54 56 157 219 220 223 224 121 172 172 174 174 36 47 47 49 50 1955 1956 1957 1958 1959 _____ _____ _____ --------_____ 10 13 5 7 5 8 10 4 4 4 2 2 1 2 1 264 273 273 273 27 1 206 2 13 213 211 209 57 59 60 6 1 62 225 227 219 212 203 173 174 167 159 150 51 52 52 53 52 1 9 6 0 _____ 1 9 6 1 _____ 1 9 6 2 _____ 1 9 6 3 _____ 1 9 6 4 _____ 8 7 8 9 7 4 4 5 5 5 3 3 3 3 1 269 265 259 252 242 204 197 189 179 168 65 67 70 73 73 195 185 176 168 157 140 129 119 109 99 54 56 57 58 58 1965 1966 1967 1968 1969 _____ _____ _____ _____ _____ 13 21 10 11 12 8 16 7 6 8 4 5 3 4 4 236 237 228 220 215 159 157 146 136 128 76 80 81 84 86 153 158 154 151 150 93 96 91 87 85 59 6 1 62 64 65 1970 197 1 1972 1973 1974 _____ _____ _____ _____ _____ 11 8 10 11 12 7 6 8 6 9 3 2 2 4 2 210 203 200 200 20 1 122 1 16 1 13 111 114 87 87 87 88 87 149 146 146 147 149 84 82 83 83 87 65 63 63 63 62 __________ ________ Sector 21. Wooden containers: Constant dollars (Millions of 1972 dollars) — G ross G ross in v e s tm e n t s to c k s Net s to c k s Year T o ta l Equ i p m e n t S tr u c tu r e s T o ta l Equi pment S tr u c tu r e s T o ta l Equ i p m e n t S tr u c tu r e s 1 9 4 7 _____ 1 9 4 8 --------1 9 4 9 _____ $33 139 46 $23 121 39 $9 18 6 $192 327 369 $117 236 273 $75 91 95 $165 298 334 $103 220 252 $6 1 77 81 1950 1951 1952 1953 1954 --------_____ _____ --------_____ 70 129 14 21 18 55 107 11 17 12 15 22 3 4 5 434 558 567 582 591 325 430 437 450 456 108 128 130 132 135 393 509 506 508 504 299 395 392 393 387 94 113 113 1 14 1 16 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ 18 21 8 10 8 15 17 6 6 6 3 4 1 3 1 600 6 10 604 598 586 464 472 466 457 446 136 138 138 140 140 499 493 47 1 450 424 382 376 356 334 311 1 16 117 115 115 113 0 _____ 1 _____ 2 _____ 3 _____ 4 _____ 12 11 12 13 10 6 5 6 7 7 6 5 5 5 2 574 556 536 512 481 430 409 385 358 328 144 147 150 153 153 400 374 348 323 296 285 257 231 206 181 1 15 1 16 1 17 1 17 1 14 196 196 196 196 196 1965 1966 1967 1968 1969 _____ _____ _____ _____ --------- 17 28 13 14 14 11 21 8 7 9 6 7 5 6 5 456 44 1 412 385 363 300 281 252 224 20 1 155 159 160 16 1 16 1 279 274 258 245 235 163 158 142 129 121 1 15 116 115 1 15 113 1970 1971 1972 1973 1974 _____ _____ _____ _____ _____ 12 8 10 10 10 8 6 8 6 7 4 2 2 3 2 342 320 305 294 285 181 164 152 144 140 160 156 152 150 145 226 214 208 202 197 1 14 107 105 102 101 11 1 106 103 100 95 62 Sector 22. Household furniture: Historical dollars (Millions of dollars) -------------------------------------------------------------------------- r ---------------------------------------------------------------- f Gross Year ---------------------------- ! T o ta l I 1947 . . . . 1 9 4 8 _____ 1 9 4 9 _____ $52 29 25 1 9 5 0 _____ 1 9 5 1 _____ 1952. .. . 1 9 5 3 --------1 9 5 4 _____ 36 35 37 34 38 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ 1960 196 1 1962 1963 1964 . . . . _____ _____ _____ --------- | I I $35 18 16 $16 10 9 | I | | 22 23 22 2 1 23 14 12 14 12 14 25 48 27 30 29 18 22 16 17 20 I I | | 28 27 30 4 1 43 17 13 21 21 25 59 7 1 64 63 67 39 49 40 32 48 98 78 125 132 143 52 45 77 97 10 0 | 44 | 70 I 44 | 47 50 | I | _____ _____ _____ . . . . _____ 98 121 104 95 1 16 I | I | I I 1 9 7 0 --------1 9 7 1 _____ 1 9 7 2 .... 1973. .. . 1 9 7 4 _____ 151 124 203 229 244 | | I | | 1965 1966 1967 1968 1969 I I T o ta l Net s to c k s r S tr u c tu r e s E qu ip m e nt I 45 4 1 51 63 69 G ross i nvestm e n t Equi pment S tr u c tu r e s I $ 1 18 134 146 $99 107 1 14 291 319 347 372 400 165 183 200 215 231 125 135 147 157 168 433 492 524 558 593 248 288 306 325 342 184 204 2 18 233 250 621 643 673 7 13 757 355 366 378 400 422 265 276 294 313 335 | I j 828 92 1 996 1,061 1, 144 458 506 545 583 623 370 4 15 451 478 521 I I | I 1 1 1 1 1 693 740 834 932 1,039 567 605 675 764 855 $ 2 18 241 26 1 | | 1 | j I | I I | | | I I I I I ,260 ,346 ,510 ,696 ,895 ________ 1__ I I T o ta l s to c k s E qu ip m e nt $ 187 207 223 | | | $ 104 117 127 249 272 296 3 15 337 | | | I | 142 156 169 180 191 I I I 363 415 438 463 488 I I I I 203 237 248 26 1 271 I | I | 507 519 540 57 1 606 I | I | 669 752 8 17 869 938 | | I I | | | I I I I I S tr u c tu r e s _______ I__________ I______________________ 1,0 1,1 1,2 1,4 1,5 3 0 5 2 9 I I I | $82 90 96 107 1 15 126 135 145 | I | | 159 177 189 202 2 17 278 282 289 306 324 I I I | 228 236 250 265 282 | | | | | j 356 400 433 465 497 I | | I | 3 13 352 383 403 440 | I | | 1 559 597 680 765 858 | | I I | 9 9 4 0 5 | | I I I I 479 5 11 574 654 737 _______ 1__ Sector 22. Household furniture: Constant dollars (Millions of 1972 dollars) G ross in v e s tm e n t G ross s to c k s Net s to c k s Year I T o ta l I | E qu ip m e nt 1_______________ 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ $122 61 52 | I | I 1 9 5 0 _____ 1 9 5 1 _____ 1 9 5 2 _____ 1953. . . . 1 9 5 4 _____ 74 63 65 59 66 | I | | | 75 110 65 70 74 $86 40 34 1 I S tr u c tu r e s 1 | I | 1 45 T o ta l Equ i p m e n t $36 20 18 $695 736 767 I | | $332 362 385 819 858 896 926 960 | | I | | 418 446 469 488 507 S tr u c tu r e s $363 373 38 1 — :q u i p m e n t S tr u c tu r e s | I I $285 309 325 400 4 12 426 438 453 667 695 722 742 766 | I I j I 350 368 383 393 404 3 17 327 339 349 36 1 797 86 1 877 896 9 16 | I | I | 4 15 456 460 464 465 38 1 405 4 17 43 1 450 | 29 22 25 22 25 I | | | | | 42 72 39 42 40 | | | 33 37 26 28 33 1,002 1,078 1,108 1,142 1,176 | I | I | 527 576 59 1 607 6 18 475 50 1 517 534 557 1 I I $568 602 624 9 1 40 37 40 I | T o ta l $283 293 299 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ 1960 196 1 1962 1963 1964 _____ _____ _____ _____ _____ 66 58 75 90 96 | | I | | | 38 36 40 55 56 | I | I | 28 22 35 35 40 1 1 1 1 1 ,199 ,210 ,234 ,270 ,311 | j | | j 623 623 624 637 650 575 586 609 632 660 925 924 939 967 1,000 I | | | i 462 455 45 1 462 475 463 469 487 504 525 1965 1966 1967 1968 1969 _____ _____ _____ _____ _____ 135 162 135 116 135 | | | | | 75 89 77 73 74 | | | | 60 72 58 43 60 1 1 1 1 1 ,389 ,492 ,569 ,625 ,700 | I | | | 682 727 760 788 8 18 706 765 808 837 882 1 1 1 1 1 ,072 ,168 ,235 ,281 ,343 I | | | I 506 551 582 607 632 566 6 17 653 674 7 1 1 1970 197 1 1972 1973 1974 _____ _____ _____ _____ _____ 164 128 203 218 205 | | 1 | | 104 79 125 128 126 | I I | 59 48 77 90 78 1,802 1,866 2,003 2,153 2,286 | | | | | 877 910 989 1,068 1, 144 924 955 1 , 0 14 1, 084 1, 142 1,432 1,48 0 1,600 1,730 1,842 | | | I | 686 7 12 782 85 1 9 15 745 767 8 17 879 927 | ______ L ________________ 1___ ________________ _____________________ ________________ I____ 63 Sector 23. Other furniture and fixtures: Historical dollars (Millions of dollars) — — — G ross G ross in v e s tm e n t s to c k s Net s to c k s Year E quipm ent T o ta l I | S tr u c tu r e s T o ta l | E quipm ent S tr u c tu r e s T o ta l Equ i p m e n t S tr u c tu r e s 1 9 4 7 _____ 1 9 4 3 _____ 1 9 4 9 _____ $18 23 13 $10 15 9 | I $7 7 4 $130 15 1 16 1 | I | $63 78 86 $6 6 72 75 $ 120 139 146 $59 71 76 1 9 5 0 _____ 1 9 5 1 .... 1 9 5 2 .... 1 9 5 3 _____ 1 9 5 4 _____ 15 15 14 20 20 9 10 s 11 12 I | I I | 5 5 5 8 7 174 186 196 2 10 224 I | I | | 93 10 1 106 113 120 80 84 89 97 103 155 163 169 179 189 81 86 88 92 96 73 76 80 87 92 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ 26 33 43 31 27 17 18 26 19 17 | | | 9 15 17 12 10 243 270 306 329 347 | I | | | 132 144 164 176 185 111 125 14 1 152 162 205 227 258 275 288 106 1 16 132 140 146 99 111 126 135 14 1 1960 196 1 1962 1963 1964 _____ _____ _____ _____ _____ 3 1 33 4 1 42 34 19 19 18 24 23 | I I | 11 13 22 17 10 367 388 4 16 443 46 1 | | | | | 195 204 2 11 222 232 172 184 205 220 229 302 317 339 36 1 373 153 158 162 172 179 149 158 176 188 193 1965 1966 1967 1968 1969 _____ _____ _____ _____ _____ 45 54 86 76 67 28 36 44 43 42 I I | I | 17 18 4 1 32 24 490 528 596 653 699 I I | I | 246 268 297 325 35 1 244 260 298 327 348 397 428 488 538 575 191 2 10 236 26 1 282 205 2 17 252 276 293 1970 197 1 1972 1973 1974 _____ _____ _____ _____ _____ 7 1 65 104 1 15 108 55 41 65 64 75 I I | i 16 23 38 5 1 32 749 790 868 956 1,033 | | | | | 389 412 457 499 55 1 359 378 4 1 1 456 48 1 6 14 645 7 12 787 851 3 14 331 369 404 448 300 314 342 383 403 | $6 1 67 69 ________________ _____________________ _____________________ l___ Sector 23. Other furniture and fixtures: Constant dollars (Millions of 1972 dollars) -------------------------------------------------- r G ross in v e s tm e n t G ross Year T o ta l 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 .... E quipm ent $39 47 25 $22 32 17 I S tr u c tu r e s I j T o ta l $360 40 1 420 11 9 10 15 13 442 459 471 49 1 508 I 15 24 27 19 16 535 568 6 13 640 658 I 19 22 36 28 16 680 70 1 733 763 779 _____ _____ _____ _____ _____ 29 26 23 34 33 18 17 13 19 19 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ 43 5 1 62 45 39 27 26 35 25 1960 196 1 1962 1963 1964 . . . . _____ _____ _____ _____ 44 47 59 59 46 25 24 23 31 29 I 1965 1966 1967 1968 1969 _____ . . . . _____ _____ _____ 62 7 1 111 93 77 35 44 52 49 46 | | | I | 30 809 849 928 989 1,031 1970 197 1 1972 1973 1974 _____ _____ _____ _____ _____ 76 66 104 1 10 93 58 42 65 63 68 I 18 24 38 47 25 1 1 1 1 1 22 | | | | | | | 26 27 59 44 ,0 ,1 ,1 ,2 ,2 72 01 64 32 80 s to c k s S tr u c tu r e s I I T o ta l E quipm ent I S tr u c tu r e s r | | | | | | I | | I | | | | | | | | | | | I | ________ __________ I_ Net r Equi pm e nt | | | $16 14 8 1950 1951 1952 1953 1954 I | I | s to c k s $156 185 199 $204 2 15 220 2 13 224 230 238 245 228 234 241 253 263 259 27 1 292 302 307 275 296 320 337 350 3 14 3 17 3 18 325 330 366 384 415 438 448 341 36 1 389 4 15 438 468 487 538 573 593 47 1 488 526 560 598 600 6 12 638 67 1 682 $142 168 176 | | | $ 180 190 193 383 39 1 395 407 4 17 183 187 186 188 191 | | 200 204 209 2 18 226 436 462 498 515 524 20 1 209 225 229 230 | | 536 550 574 598 607 233 233 233 240 245 | | | | | 63 1 664 735 786 8 19 255 275 302 325 343 848 866 9 18 974 1,010 372 382 4 15 442 473 | | | | i | | | | | | | | | | I _____________________ L 64 $323 358 370 I | | | | | I | | | | | | I | | | j | | 235 253 273 285 293 303 3 16 341 357 362 375 388 433 46 1 475 476 483 503 531 536 Sector 24. Paper and allied products: Historical dollars (Millions of dollars) — G ross in v e s tm e n t G ross s to c k s Net s to c k Year I I T o ta l :qu ip m e nt I | 1 9 4 7 _____ 1 9 4 8 .... 1 9 4 9 _____ $357 301 269 | I | $254 240 2 16 | | | 1 9 5 0 _____ 1 9 5 1 _____ 1 9 5 2 _____ 1 9 5 3 _____ 1 9 5 4 _____ 267 341 323 368 437 | | | I | 209 269 265 299 334 | | | | | _____ _____ _____ _____ _____ 473 688 771 500 522 | I | I | 38 1 543 609 396 424 I 9 6 0 _____ 1 9 6 1 _____ 1 9 6 2 _____ 19 6 3 . . . . 1 9 6 4 _____ 533 556 578 568 742 I I | | I 438 46 1 488 475 629 _____ . . . . _____ _____ --------- 1,008 1,173 1,337 985 1,128 | | | | | 850 980 1,102 799 937 1970 . . . . 1 9 7 1 _____ 1 9 7 2 _____ 19 7 3 . . . . 1 9 7 4 _____ 1,157 1,004 1,130 1,303 1,867 I | | I | 988 859 970 1,145 1,616 1955 1956 1957 1958 1959 1965 1966 1967 1968 1969 S tr u c tu r e s $103 60 52 T o ta l Equ i p m a n t $1,326 1,586 1 , 8 15 S tr u c tu r e s $808 1, 023 1,214 $517 563 60 1 644 700 744 798 886 T o ta l I I $1,099 1,350 1,563 I | | $692 898 1,075 $407 45 1 488 1,767 2,037 2,279 2,553 2,884 | | I | | 1,238 1,453 1,654 1,878 2 , 124 529 583 624 675 759 Equ i p m e n t S tr u c tu r e s 57 7 1 58 69 103 2 2 2 2 3 ,0 ,3 ,6 ,9 ,3 4 4 2 4 2 2 1 1 2 8 1,398 1,641 1,877 2,144 2,442 I | 9 1 145 162 104 97 3 4 5 5 5 ,7 ,3 ,0 ,4 ,8 4 6 6 7 9 3 5 1 4 4 2 3 3 4 4 ,7 ,2 ,8 ,1 ,4 8 7 2 4 7 0 2 0 2 8 963 1,093 1,241 1,331 1 , 4 15 3 3 4 4 4 ,2 ,7 ,3 ,6 ,9 3 7 8 9 9 3 9 5 3 8 I | I I | 2 2 3 3 3 ,4 ,8 ,2 ,5 ,7 0 2 9 2 5 | I | | 95 94 89 93 1 12 6 6 7 7 8 ,307 ,721 ,134 , 5 12 ,037 4 5 5 5 6 ,8 ,1 ,4 ,7 ,2 0 4 8 8 0 9 3 0 0 8 1 1 1 1 1 97 78 54 32 29 5 5 5 6 6 ,2 ,5 ,8 ,0 ,4 8 7 5 9 8 8 5 5 9 9 | | | I | 3 4 4 4 4 ,9 ,2 ,4 ,6 ,9 80 03 29 16 34 1 1 1 1 1 i I | | 157 193 234 185 190 8,800 9,70 1 10,736 11,391 12,159 6,8 7,5 8,3 8,8 9,4 3 5 8 7 7 1 7 0 2 6 1, 968 2 , 143 2,3 5 6 2,519 2,683 7 7 8 9 9 ,1 ,8 ,7 ,2 ,8 1 7 5 5 5 5 3 9 4 7 I | | | | 5 6 6 7 7 ,4 ,0 ,7 ,1 ,6 4 6 6 3 0 1,667 1 , 8 13 1,996 2 , 124 2,252 168 145 159 157 250 12,926 13,508 1 4, 184 15,000 16,347 10,451 10,853 11,344 11,967 13,110 | I | | I | | | I I | ___ l___ 10,104 10,574 11,129 11,831 12,975 ________ 2 2 3 3 3 ,4 ,5 ,6 ,7 ,8 ,8 ,9 ,0 ,1 ,3 2 3 5 6 7 2 3 4 9 2 2 4 1 0 5 830 954 1,093 1,172 1,242 7 0 3 0 5 8,098 8,427 8,836 9,384 10,363 2 2 2 2 2 ,308 ,371 ,426 ,482 ,554 ,3 ,4 ,5 ,5 ,7 5 2 0 8 4 3 6 8 3 7 Sector 24. Paper and allied products: Constant dollars (Millions of 1972 dollars) I G ross G ross in v e s tm e n t Net s to c k s s to c k s Year 1 T o ta l 1947 . . . . 1 9 4 8 _____ 1 9 4 9 _____ I 1 ----------------------------1-------$834 | 643 | 567 1 1 I I 19 6 5 . . . . 1966 . . . . 1 9 6 7 _____ 1 9 6 8 _____ 1 9 6 9 _____ 1970 . . . . 1 9 7 1 _____ 1 9 7 2 _____ 1973. .. . 1 9 7 4 _____ $604 522 46 1 $229 120 106 Equ i p m e n t $4,241 4,725 5,135 $2,299 2,735 3,110 6 0 4 2 8 | | | | | 3,452 3,854 4,244 4,677 5 , 153 2 2 2 2 2 , , , , , 2 2 2 2 3 ,4 ,6 ,8 ,9 ,0 1 19 132 104 122 187 801 1,077 1,127 729 744 | | | I | 635 835 870 558 581 165 24 1 257 170 162 8 ,109 8 ,979 9,881 10,361 10,829 | I | | | 5 6 7 7 7 158 157 147 150 179 11,269 11,704 12,125 12,483 13,025 I | I | i 8,142 8,477 8,809 9,076 9,498 24 1 284 335 251 238 13,868 14,853 15,960 16,536 17,192 I | | | | 191 153 159 145 196 1 1 1 1 1 I | I I | I 5 5 6 6 7 ,5 ,9 ,4 ,9 ,4 2 9 1 0 9 S tr u c tu r e s | I | 427 489 48 1 533 585 $1,941 1, 9 90 2,025 E qu ip m e nt T o ta l $3,334 3,803 4 , 186 $1,914 2,331 2,674 3 5 0 4 5 4 4 5 5 6 ,5 ,9 ,2 ,6 ,1 3 4 9 9 9 4 2 6 8 3 2 3 3 3 4 ,9 ,3 ,6 ,9 ,3 7 1 2 7 4 0 3 8 4 8 44 20 14 23 27 6 7 8 8 8 ,6 ,4 ,1 ,4 ,7 8 2 7 8 7 7 5 6 7 9 4 5 5 6 6 , , , , , 4 1 7 8 9 4 0 4 8 2 3 , 126 3,2 2 6 3,315 3,407 3,527 9,038 9,293 9,539 9,729 10,112 6 6 6 6 7 ,4 ,6 ,8 ,9 ,2 10,161 10,925 11,763 1 2 , 157 12,648 3 3 4 4 4 ,7 ,9 ,1 ,3 ,5 0 2 9 7 4 7 8 7 9 3 10,802 1 1,636 12,588 13,002 13,494 7,807 8 ,459 9, 185 9,464 9,841 13,124 13,388 13,724 14, 180 14,904 4 4 4 4 4 ,6 ,7 ,7 ,8 ,9 5 2 9 4 3 6 5 3 1 2 1 1 1 1 1 ,6 ,3 ,0 ,4 ,8 6 5 6 3 0 5 8 6 7 1 0 1 1 2 3 7 3 7 2 4 7 3 8 0 2 I I S tr u c tu r e s | | | $1,419 1,472 1,511 | | I 1,564 1,629 1,667 1, 723 1,844 I I | | 1,942 2,115 2,30 1 2,398 2,486 I I I | 2 2 2 2 2 ,5 ,6 ,7 ,7 ,8 6 4 0 6 5 5 2 4 5 1 2 3 3 3 3 ,9 ,1 ,4 ,5 ,6 9 7 0 3 5 5 6 3 7 3 3 3 3 3 3 ,7 ,7 ,7 ,7 ,7 1 3 5 5 9 6 4 3 3 9 I I 750 781 806 784 1,007 i | | | 591 623 659 633 828 I i I I I 1 1 1 1 1 I i I I I 1,104 1,240 1,344 929 1,053 I I 1 I T o ta l 1 | | | I | I 1960 . . . . 1 9 6 1 _____ 1 9 6 2 .... 1963. .. . 1 9 6 4 _____ S tr u c tu r e s 546 621 586 656 773 1 9 5 0 _____ 1 9 5 1 _____ 1 9 5 2 _____ 1953. .. . 1 9 5 4 _____ 1 9 5 5 _____ 1 9 5 6 .... 1957 . . . . 1 9 5 8 .... 1 9 5 9 _____ E quipm ent 1 1 1 1 1 ,346 ,525 ,679 ,180 ,291 ,2 ,0 ,1 ,2 ,6 5 2 3 5 0 4 9 0 8 2 I I | I i 1,062 876 970 1,112 1,406 7 8 8 9 9 ,7 ,1 ,5 ,0 ,8 81 14 18 21 37 65 3,916 4,078 4,311 4,638 5,273 1 1 1 1 1 0 0 0 0 1 72 51 35 63 60 ,200 ,344 ,557 ,884 ,473 | | | | | | | I Sector 25. Paperboard containers and boxes: Historical dollars (Millions of dollars) — G ross in v e s tm e n t G ross s to c k s Net s to c k s Year T o ta l Equ i p m e n t S tr u c tu re s 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ $71 72 64 $45 48 44 $25 23 20 1950 195 1 1952 1953 1954 _____ _____ _____ _____ _____ 49 84 48 67 34 36 56 39 50 59 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ 9 1 124 1 17 136 1 16 64 9 1 86 84 79 1 9 6 0 _____ 1 9 6 1 _____ 1 9 6 2 _____ 1 9 6 3 _____ 1 9 6 4 _____ 109 1 13 16 1 14 1 161 T o ta l E qu ip m e nt I $26 1 327 385 $ 14 1 186 227 12 28 8 17 24 427 504 544 603 676 260 311 346 390 442 27 32 30 52 37 756 866 968 1, 087 1, 184 497 578 653 723 785 | | 84 80 116 115 123 25 33 44 26 37 1,270 1,357 1,487 1,592 1,712 849 906 995 1,078 1,165 | | | | | | | | | | 1965 1966 1967 1968 1969 _____ _____ _____ _____ _____ 179 249 238 242 280 133 188 172 185 208 46 6 1 66 57 72 1,845 2,044 2,226 2,406 2 , 6 19 1 1 1 1 1 56 99 20 50 98 | | 1970 197 1 1972 1973 1974 _____ _____ _____ _____ _____ 227 180 206 228 342 174 142 167 184 264 52 38 38 43 77 2 2 2 3 3 1,908 1,979 2,071 2,173 2,350 | | | | | ________ ,7 ,8 ,9 ,1 ,3 7 7 9 2 6 3 3 3 6 7 ,2 ,3 ,5 ,6 ,7 S tr u c tu r e s | ________ ________________ L _ T o ta l Equi pment S tr u c tu r e s $119 140 158 $223 286 340 $124 167 204 $99 119 135 167 192 198 2 12 234 376 446 477 525 587 232 277 304 340 382 144 168 173 185 205 258 288 315 364 398 654 750 834 934 1,009 427 495 556 6 10 655 227 254 278 324 353 420 450 49 1 514 547 1,071 1, 133 1,238 1,316 1,409 701 738 808 87 1 938 370 394 429 445 470 588 644 705 756 820 1,513 1,682 1,832 1,979 2 , 155 1 1 1 1 1 ,0 ,1 ,2 ,3 ,4 09 3 1 30 36 58 504 551 602 643 697 2 2 2 2 2 1 1 1 1 1 ,540 ,582 ,643 , 7 15 ,860 730 747 762 782 833 865 894 92 1 953 1,017 ,2 ,3 ,4 ,4 ,6 7 2 0 9 9 0 9 6 7 3 Sector 25. Paperboard containers and boxes: Constant dollars (Millions of 1972 dollars) G ross G ross in v e s tm e n t s to c k s Year 1 I T o ta l 1 I — E quipm ent _______________ 1________________ 1_____________________ I 1 9 4 7 _____ $173 | $ 1 16 1 9 4 8 _____ 159 I 112 139 | 97 1 9 4 9 _____ S tr u c tu r e s r T o ta l E qu ip m e nt S tr u c tu r e s $56 46 4 1 $859 992 1,106 ____________________I_____________________ I $425 I $433 I 525 | 467 | 611 i 495 1950 195 1 1952 1953 1954 _____ _____ _____ _____ --------- 105 16 1 91 124 154 I I | | 1 79 109 75 94 109 26 51 15 30 44 1,186 1,320 1,383 1,476 1,595 | | | | | 677 772 832 907 995 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ 164 203 18 1 211 178 I I | | | 1 14 149 133 126 117 49 54 47 85 6 1 1,721 1,882 2,017 2,178 2,301 | I | | | 1,084 1,203 1,303 1,390 1,464 1960 196 1 1962 1963 1964 _____ _____ --------_____ _____ 162 168 235 200 224 | I I I | 119 1 13 162 157 164 42 54 73 42 59 2 2 2 2 2 , , , , , 1 0 8 2 3 | | | I | 1,534 1,591 1,689 1,774 1,860 1965 1966 1967 1968 1969 _____ _____ ------------------------- 246 331 304 295 324 | I | | | 175 241 209 217 233 70 90 94 77 90 3 3 3 3 3 ,0 ,2 ,4 ,6 ,8 47 71 61 35 31 | | | I | 1,950 2,100 2,213 2,328 2,454 1970 197 1 1972 1973 1974 _____ _____ _____ _____ _____ 247 185 206 219 287 | | | | I 187 145 167 179 226 60 40 38 40 60 3 3 4 4 4 ,9 ,9 ,0 ,1 ,2 4 8 4 1 3 | | | | I 2 2 2 2 2 I I Net 4 5 6 7 9 0 0 5 7 0 5 9 8 3 9 ,5 ,5 ,6 ,6 ,7 3 5 0 5 5 0 7 3 6 0 I | I I | s to c k s __________________ ____________________________________________________________ r T o ta l Equ i p m e n t $702 828 932 I I | $365 458 534 S tr u c tu r e s $336 369 397 509 547 550 568 600 1 1 1 1 998 ,116 ,159 ,230 ,326 I | | | | 637 679 7 14 787 836 1 1 1 1 1 ,4 ,5 ,6 ,7 ,8 5 9 3 9 5 I I | | | 900 995 1,069 1, 128 1, 173 525 563 593 660 702 | 867 909 969 997 1,042 1,938 1,999 2,119 2,197 2,293 | | I | | 1 1 1 1 1 ,2 ,2 ,3 ,3 ,4 13 42 13 73 36 724 756 806 823 856 | I | | | 1,097 1,17 1 1,248 1,307 1,377 2 2 2 2 3 , , , , , 4 5 7 8 0 0 9 4 8 4 3 3 7 4 2 I I | | | 1 1 1 1 1 ,5 ,6 ,7 ,8 ,9 04 32 23 17 20 899 960 1,023 1,067 1, 122 | | I I 1,414 1,431 1,444 1,457 1,488 3 3 3 3 3 , , , , , 1 1 1 1 2 1 2 3 6 4 6 0 7 2 7 | | | | I 1,971 1,974 1,994 2,021 2,089 I | | I | 2 5 6 8 7 588 669 7 1 1 767 833 409 447 448 463 492 1, 144 1, 146 1 , 143 1,14 1 1, 157 ___________ 66 Sector 26. Printing and publishing: Historical dollars (Millions of dollars) G ross in v e s tm e n t G ross s to c k s Net s to c k s Year T o ta l Equ i p m e n t S tr u c tu r e s T o ta l E qu ip m e nt | S tr u c tu r e s h I I | $1,174 1,238 1,270 T o ta l Equ i p m e n t S tr u c tu r e s I 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ $279 279 264 $148 182 197 1950 1951 1952 1953 1954 _____ _____ _____ _____ _____ 274 347 337 248 326 195 167 129 156 179 79 179 208 9 1 147 3 3 3 3 3 ,2 ,5 ,7 ,8 ,9 1955 1956 1957 1958 1959 _____ _____ --------_____ _____ 369 498 415 423 388 198 229 254 278 27 1 170 269 160 145 116 4 4 4 5 5 , , , , , 1960 196 1 1962 1963 1964 _____ _____ _____ _____ _____ 458 476 535 570 6 19 302 298 321 353 344 155 178 214 217 275 5 5 6 6 6 1965 1966 1967 1968 1969 _____ _____ _____ _____ _____ 857 935 963 89 1 1,043 4 17 537 578 569 627 991 1,035 1,047 1, 084 636 673 80 1 843 874 1 9 7 0 _____ 1 9 7 1 _____ 1 9 7 2 _____ 1 9 7 3 _____ 1 9 7 4 _____ 1,141 $130 97 66 $2,905 3,036 3,1 5 6 I | | $1,730 1,797 1,886 91 01 01 12 97 | | | | | 1,976 2,040 2,068 2 , 121 2,194 2 5 8 0 2 2 6 1 7 8 0 5 8 4 7 | I | | | 2 2 2 2 2 ,2 ,3 ,5 ,6 ,7 80 89 14 55 83 ,5 ,8 ,1 ,5 ,9 6 5 9 5 6 4 2 1 6 1 | I | I | 2 3 3 3 3 ,9 ,0 ,2 ,4 ,5 34 75 32 13 77 440 397 384 321 415 7,597 8,299 9,019 9,654 10,428 | | | | | 3 4 4 4 5 ,809 ,154 ,534 ,897 ,309 | 3,787 4 , 144 4,484 4,757 5,118 354 36 1 246 241 267 1 1 1 1 1 I I I | I 5 6 6 7 7 , , , , , I | | | 5 5 5 6 6 1,132 1,857 2,568 3,287 4,033 7 1 6 2 8 18 49 89 49 18 $2,234 2,369 2,485 $1,317 1,391 1,478 $916 977 1,006 | 1,315 1,460 1,633 1,690 1,803 2,6 2,7 2,9 3,0 3,2 0 9 7 5 0 8 8 2 0 0 1,559 1,606 1,611 1,637 1,681 1 1 1 1 1 | I | | 1,940 2,176 2,304 2,418 2,504 3,3 3,6 3,9 4,1 4,2 8 8 0 1 7 4 9 0 2 7 1,737 1 , 8 17 1,915 2,032 2,135 1,646 1,872 1, 984 2,079 2,142 2 2 2 3 3 4 4 5 5 5 03 35 13 12 44 2 2 2 2 2 ,2 ,3 ,5 ,6 ,7 6 7 0 5 9 2 7 6 9 3 2 2 2 2 2 ,2 ,3 ,5 ,6 ,8 6,199 6,8 1 1 7,426 7,944 8,586 2 3 3 3 4 ,9 ,2 ,6 ,9 ,2 9 9 2 3 7 0 6 8 3 6 3 3 3 4 4 ,208 ,514 ,798 ,011 ,309 9, 143 9 , 7 11 10,255 10,798 11,358 4 4 5 5 6 ,6 ,9 ,3 ,8 ,2 0 4 9 4 9 5 7 0 4 6 4 4 4 4 5 ,5 ,7 ,8 ,9 ,0 | | | | | | ,6 ,7 ,9 ,1 ,3 ,4 ,7 ,8 ,0 ,2 2 7 5 4 8 1 0 7 3 1 9 6 9 3 4 3 7 8 7 5 ,5 ,7 ,0 ,3 ,6 ,049 ,192 ,361 , 4 12 ,518 4 5 0 5 5 3 6 6 5 6 0 7 6 2 1 7 4 5 4 1 ___________L Sector 26. Printing and publishing: Constant dollars (Millions of 1972 dollars) ----------------------------------r G ross Year T o ta l $627 572 532 1 9 4 7 _____ 1948 . . . . 1 9 4 9 _____ 1950 1951 1952 1953 1954 _____ _____ --------_____ _____ 547 625 597 433 566 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ 635 796 17 630 565 1 9 6 0 _____ 1 9 6 1 .... 1 9 6 2 --------1 9 6 3 _____ 1 9 6 4 _____ 667 694 772 808 877 6 I | | | | | | | | | I | | | | | I I I | in v e s tm e n t G ross E qu ip m e nt $337 378 395 S tr u c tu r e s $290 193 137 382 293 226 269 299 164 332 37 1 163 267 324 346 362 392 37 1 310 449 255 237 193 408 398 422 458 44 1 4 4 4 4 4 ,4 ,6 ,8 ,8 ,9 7 5 3 7 6 4 4 4 5 5 ,9 ,9 ,9 ,0 ,0 3 5 8 3 5 0 6 5 4 3 5 5 5 5 5 ,1 2 2 ,420 ,528 ,6 2 4 ,681 | 5 5 5 5 5 ,1 ,1 ,2 ,2 ,3 0 4 0 9 7 4 2 3 9 9 5 5 6 6 6 ,8 ,9 ,1 ,4 ,7 0 7 8 0 1 7 0 9 8 3 | 8 3 0 3 8 | | I | | 5 5 6 6 6 ,5 ,8 ,2 ,5 ,8 5 7 1 2 7 1 1 3 1 3 7,2 7,7 8,1 8 ,3 8,7 5 0 0 9 5 6 1 7 2 4 | | I I | 2 3 7 6 0 | | | I | 7 7 7 8 8 ,1 ,5 ,9 ,3 ,7 99 24 48 71 23 8 ,9 9,1 9,2 9,2 9,2 9 9 5 8 8 3 8 8 5 7 | | 1 1 1 1 1 0,911 1,113 1,393 1,708 2,092 1 1 1 1 1 2 3 4 4 5 ,8 ,5 ,3 ,9 ,6 0 7 2 1 2 1 1 1 1 1 6 6 7 7 8 ,1 ,7 ,2 ,6 ,0 9 2 0 5 1 654 697 1970 197 1 1972 1973 1974 1,080 1,068 1,047 1,042 976 | I | I | 676 687 80 1 818 767 403 38 1 246 223 209 $ 4,482 4,508 4,4 7 8 58 35 54 19 14 259 296 350 350 436 677 584 549 434 519 $4,946 4,957 5,005 52 76 13 58 35 | I | I | | | I | 67 7 4 5 5 6 | I I | | | ,0 ,0 ,9 ,9 ,9 ,0 ,3 ,5 ,6 ,7 528 672 I | | | j | | S tr u c tu r e s 5 5 4 4 4 0 0 0 0 0 | I I | | $9,428 9,465 9,484 1 1 1 1 1 05 56 38 89 17 _____ _____ _____ --------_____ Equi pment ,535 ,680 ,807 ,776 ,881 1 1 1 1 1 688 T o ta l 9 9 9 9 9 1 9 6 5 --------1966 . . . . 1 9 6 7 _____ 1 9 6 8 _____ 1 9 6 9 _____ ,2 ,2 ,2 ,0 ,2 Net s to c k s r- T o ta l Equi pment $6,904 6,995 7,049 | 7 7 7 7 7 ,1 ,2 ,3 ,3 ,4 1 6 7 2 0 8 3 8 5 2 I I I | | 7 7 7 8 8 ,5 ,8 ,9 ,0 ,1 4 4 5 7 3 4 1 5 9 5 | | | $3,646 3,7 0 0 3,77 1 $3,257 3,2 9 5 3,277 3 3 3 3 3 | | I | 3,56 1 3,560 3,572 3 , 6 12 3,632 3 4 4 4 4 ,9 ,2 ,3 ,4 ,5 82 81 83 66 02 I | 3 3 3 3 4 ,6 ,7 ,8 ,9 ,0 90 37 08 15 03 4 4 4 5 5 ,6 ,7 ,9 ,0 ,3 00 30 10 82 34 5 7 8 7 8 | | | | | 4 4 4 5 5 , , , , , 1 4 8 0 3 7 9 0 8 7 7 0 8 0 9 5 6 6 6 7 , 8 17 ,196 ,529 ,737 , 0 19 12,811 13,181 13,499 13,777 13,956 | I | | I I 5 5 6 6 6 ,6 ,8 ,2 ,5 ,8 3 8 2 5 0 7 4 3 3 4 7 7 7 7 7 , 173 ,2 9 6 ,275 ,224 ,151 8,290 8,4 6 8 8 ,7 1 8 8,9 9 8 9,338 I | | 1 1 1 1 9,99 0,68 1,33 1,81 2,39 | | | I | ,828 ,792 ,6 8 6 ,621 ,580 S tr u c tu r e s | | | I | | | | | s to c k s r~ 3,289 3,47 1 3,691 3,704 3,8 2 1 Sector 27. Chemicals and allied products: Historical dollars (Millions of dollars) — G ross G ross in v e s tm e n t Not s to c k s s to c k s r T o ta l 1947 . . . . 1 9 4 8 _____ 1 9 4 9 _____ Equ i p m e n t S tr u c tu r e s $538 365 389 $357 269 290 $181 96 99 Equ i p m e n t T o ta l $ 1,992 2,336 2,700 | | | T o ta l S tr u c tu r e s $708 80 1 896 $1,284 1,535 1,803 $1,815 2,119 2,435 $66 1 745 832 $1,154 1,373 1,603 979 ,124 ,316 ,484 ,647 2 3 3 4 4 ,7 ,2 ,8 ,4 ,9 28 47 83 94 69 1,825 2,211 2,670 3,130 3,462 1 1 1 1 97 17 72 20 20 1,791 1,954 2,1 2 7 2,299 2 , 4 18 5 5 6 6 7 ,3 ,7 ,3 ,8 ,0 0 5 4 0 5 4 5 0 3 7 3 3 4 4 4 ,6 ,9 ,4 ,7 ,9 77 91 31 55 25 1,626 1,764 1,908 2,047 2 , 131 6 0 3 7 9 2,5 2,7 2,8 3,0 3,2 7,472 7 , 9 98 8,356 8,300 9,431 5 5 5 6 6 ,2 ,6 ,9 ,2 ,7 43 49 41 49 30 2 2 2 2 2 ,2 ,3 ,4 ,5 ,7 29 49 15 51 00 4 6 7 4 4 7,438 8,274 9 , 126 9,799 10,395 2 3 3 3 4 ,9 ,2 ,4 ,7 ,0 0 0 6 8 6 6 1 0 4 8 7 0 7 8 0 1 1 1 1 1 4 4 4 4 4 ,2 ,4 ,5 ,6 ,9 5 2 1 7 8 7 5 9 3 1 1950 195 1 1952 1953 1954 _____ _____ _____ --------_____ 380 621 759 760 650 294 472 563 587 482 85 149 196 173 168 3 3 4 5 5 ,0 ,6 ,3 ,0 ,6 4 3 4 5 3 9 2 6 0 2 | | I | | 2,0 2,5 3,0 3,5 3,9 6 0 2 6 8 1955 1956 1957 1958 1959 _____ _____ . . . . --------_____ 538 682 846 76 1 587 389 5 12 666 58 1 457 149 169 180 180 129 6 6 7 8 8 ,0 ,6 ,3 ,0 ,4 8 7 9 2 3 8 2 9 0 9 | | | | | 4 4 5 5 6 ,2 ,7 ,2 ,7 ,0 1 9 6 0 --------1 9 6 1 --------1 9 6 2 _____ 1 9 6 3 .... 1 9 6 4 _____ 780 927 797 9 18 1, 140 632 751 670 7 15 9 18 148 176 127 202 222 9,025 9,726 10,263 10,887 11,698 I | I I | 6 7 7 7 8 ,4 ,0 ,4 ,8 ,4 1 9 6 5 .... 1 9 6 6 _____ 1 9 6 7 --------1 9 6 8 _____ 1 9 6 9 _____ 1 1 1 1 1 ,462 ,725 ,753 ,691 ,625 1,176 1,342 1,398 1,261 1,227 285 382 354 429 398 12,795 14,117 15,430 16,644 17,757 I | I | | 1 1 1 1 9,330 0,303 1,301 2,131 2,897 3,464 3,813 4 , 129 4,513 4,859 1 1 1 1 1 0 1 2 3 4 ,3 ,4 ,5 ,5 ,4 4 7 8 8 6 1970 197 1 1972 1973 1974 1,712 1,572 1,453 1,776 2,900 1,400 1,273 1,220 1,475 2,438 312 299 233 30 1 462 18,917 19,896 20,711 21,800 23,9 62 | | | | | 1 1 1 1 1 3 4 5 6 7 5 5 5 5 6 1 1 1 1 1 5 6 6 7 9 ,3 ,0 ,6 ,4 ,2 7 9 2 2 9 . . . . _____ _____ _____ _____ S tr u c tu r e s Equ i p m e n t 9 8 9 5 4 9 8 6 8 0 ,805 ,551 ,206 ,076 ,866 1 1 1 1 ,1 ,3 ,5 ,7 ,0 55 17 27 09 07 1 4 0 2 9 2 5 4 3 6 _ 1,1 1,6 2,1 2,7 4,3 1 6 0 5 0 9 5 8 5 9 903 ,036 , 2 13 ,364 ,506 Sector 27. Chemicals and allied products: Constant dollars (Millions of 1972 dollars) G ross in v e s tm e n t G ross s to c k s Net Year T o ta l 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ Equi pment S tr u c tu re s T o ta l $1,161 7 19 759 $759 528 557 $402 191 202 $5,640 6,289 6,966 Equ i p m e n t $3,328 3,80 1 4,292 1950 195 1 1952 1953 1954 _____ _____ _____ _____ _____ 733 1,062 1,288 1,254 1,070 555 786 938 946 764 178 276 349 308 305 7,602 8,5 4 8 9,700 10,792 11,671 4 5 6 7 7 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ 878 1,003 1,173 1,059 809 607 721 887 764 594 270 282 286 295 215 12,325 13,068 13,941 14,658 15,076 8,0 8,5 9,1 9,6 9,8 1960 196 1 1962 1963 1964 _____ _____ _____ _____ _____ 1,046 1,256 1,066 1,231 1,514 800 963 858 905 1,16 1 246 293 208 326 352 15,683 16,446 16,968 17,604 18,473 1 1 1 1 1 1965 1966 1967 1968 19 6 9 _____ _____ _____ _____ _____ 1,910 2,199 2,164 2,030 1,871 1,470 1,637 1,664 1,450 1,379 439 562 499 580 49 1 19,690 21,150 22,531 23,737 24,746 1 1 1 1 1 1 9 7 0 _____ 1 9 7 1 _____ 1 9 7 2 _____ 1 9 7 3 _____ 1 9 7 4 _____ _______ 1,860 1,627 1,453 1,711 2,519 1,506 1,312 1,220 1,432 2 , 157 _________ s to c k s -------------------------------- r 354 314 233 279 36 1 ,7 ,4 ,2 ,0 ,6 6 5 7 7 7 5 3 3 7 3 8 1 7 2 91 48 93 S tr u c tu r e s $2,311 2,488 2,674 2 3 3 3 3 ,8 ,0 ,4 ,7 ,9 T o ta l E qu ip m e nt $5,046 5,587 6 , 140 36 95 26 15 98 6,6 7,4 8,4 9,3 9,9 3 2 0 0 6 6 8 5 1 4 4,243 4,496 4,750 5,009 5 , 183 1 1 1 1 1 0,301 0,827 1,206 1,589 2,189 5 5 5 6 6 81 19 62 15 84 12,482 13,000 13,283 13,692 14,347 3,060 4,062 5,061 5,817 6,477 6,6 7,0 7,4 7,9 8 ,2 3 8 6 1 6 1 1 1 1 1 ,3 ,6 ,7 ,0 ,2 0 7 9 9 8 $2,946 3,338 3,734 0,387 0,889 1,513 1,971 2,129 5,356 6,609 7,777 8,761 9,535 1 1 1 1 1 1 S tr u c tu r e s | j $2,099 2,249 2,405 4 4 5 6 6 ,1 ,6 ,3 ,0 ,4 0 7 6 1 4 2 2 0 6 9 j 6 6 7 7 7 , , , , , 8 9 3 0 6 5 7 5 6 9 8,0 0 3 8,367 8,591 8 ,832 9,303 0 0 1 2 2 6 9 4 7 7 ,053 ,936 ,809 ,430 ,942 2 2 3 3 3 , , , , , i | I | | 3 3 4 4 4 ,7 ,8 ,0 ,2 ,3 0 1 92 78 64 60 | | 4 4 4 4 5 ,4 ,6 ,6 ,8 ,0 7 3 9 6 4 8 3 2 0 3 5 5 5 6 6 ,3 ,6 ,9 ,3 ,5 0 7 6 3 9 2 3 7 0 3 6 6 6 6 6 ,7 ,7 ,7 ,7 ,8 0 7 4 6 5 7 3 9 3 3 j j j | | | 5 7 0 2 5 3 5 4 8 1 3 5 4 4 4 I 2 2 2 2 2 5 6 6 7 8 ,7 ,3 ,8 ,5 ,9 06 92 60 39 76 17,239 17,778 18,193 18,785 20,065 8 8 8 8 8 ,4 ,6 ,6 ,7 ,9 67 14 67 53 11 2 2 2 2 2 0,249 0,676 0,876 1,284 2,446 13,541 13,902 14,127 14,520 15,592 | I | | | ____________ L 68 sector 28. Plastics and synthetic materials: Historical dollars (Millions of dollars) G ross T o ta l G ross in v e s tm e n t Equi pment Equ i p m e n t T o ta l S tr u c tu r e s S tr u c tu r e s T o ta l s to c k : Equ i p m e n t S tr u c tu r e s $532 588 655 $375 417 467 $156 171 187 222 252 290 324 356 723 847 978 1,109 1,255 517 6 15 7 10 812 930 205 232 267 297 325 1, 172 1,368 1,607 1,790 1, 900 404 460 528 583 6 11 1,358 1,577 1,848 2,045 2,135 990 1, 159 1,368 1,518 1,590 367 4 17 479 526 545 0 3 0 0 7 2 2 2 2 3 ,0 ,2 ,4 ,7 ,0 7 8 9 3 0 6 3 2 0 7 674 760 807 860 959 2 2 2 2 3 ,3 ,5 ,7 ,9 ,3 2 6 6 9 0 5 4 2 0 0 1,726 1,890 2,052 2,240 2,464 598 674 7 10 750 836 43 25 18 04 27 3 4 4 4 5 ,4 ,0 ,5 ,8 ,3 7 3 0 8 3 6 0 6 4 1 1,067 1,195 1,311 1 , 4 19 1,496 3 4 4 5 5 ,8 ,4 ,9 ,2 ,7 0 0 0 9 0 5 6 8 4 8 2 3 3 4 4 ,8 ,3 ,7 ,0 ,4 7 6 6 6 2 4 4 6 3 0 930 1,042 1,141 1,230 1,287 7,335 7,883 8,364 8,960 9,978 5 6 6 7 7 ,74 1 ,200 ,604 ,100 ,9 4 1 1,594 1,682 1,760 1,860 2,037 6 6 6 7 8 ,0 ,5 ,8 ,3 ,1 97 18 64 16 8 1 4 5 5 5 6 ,7 ,0 ,3 ,7 ,4 3 8 7 5 6 3 7 9 4 7 1,364 1,430 1,485 1,561 1 , 7 14 $423 475 538 $ 166 183 20 1 824 966 1,118 1,272 1,444 60 1 7 14 827 948 1,088 1,577 1,829 2,135 2,374 2,511 65 89 52 57 105 2 3 3 3 3 ,7 ,0 ,3 ,5 ,9 5 4 0 9 6 1 14 135 125 1 18 88 4 5 5 6 6 ,5 ,2 ,8 ,3 ,8 111 104 94 119 198 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ §139 76 90 $95 59 70 $43 17 19 $589 658 739 1950 . . . . 1 9 5 1 _____ 1 9 5 2 _____ 1 9 5 3 .... 1 9 5 4 --------- 95 155 166 173 194 73 124 127 138 160 21 30 39 35 33 1955 1956 1957 1958 1959 _____ _____ . . . . . . . . _____ 158 28 1 342 279 183 108 224 27 1 222 153 49 57 70 57 30 1960 196 1 1962 1963 1964 . . . . _____ _____ _____ _____ 292 353 326 369 465 226 264 274 311 360 1 9 6 5 .... 1966 . . . . 1 9 6 7 _____ 1968. . . . 1 9 6 9 _____ 676 795 7 18 627 678 562 659 593 508 590 1970 . . . . 1 9 7 1 _____ 1972. . . . 1 9 7 3 _____ 1 9 7 4 --------- 681 740 694 830 1,277 570 636 600 7 1 1 1,078 Net s to c k s Sector 28. Plastics and synthetic materials: Constant dollars (Millions of 1972 dollars) — G ross in v e s tm e n t G ross s to c k s Net s to c k s Year T o ta l 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ $323 162 189 Equi pment S tr u c tu r e s $227 127 148 $95 34 40 T o ta l Equ i p m e n t $1,753 1,891 2,0 5 1 2 2 2 2 3 ,2 ,4 ,7 ,9 ,2 $1,216 1,322 1,446 1 2 5 6 2 Equi pment S tr u c tu r e s $537 568 604 $1,553 1,654 1,774 $1,061 1,137 1,228 $492 516 546 646 699 765 823 879 1,890 2,085 2,287 2,484 2,702 1,310 1,461 1,606 1,757 1, 932 579 624 680 727 770 194 282 30 1 308 34 1 149 225 230 246 281 44 56 70 62 60 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ 270 440 505 406 263 180 344 393 3 12 212 89 95 111 93 50 3,426 3,779 4 , 185 4,48 1 4,622 2 2 3 3 3 ,462 ,726 ,029 ,240 ,3 4 0 963 1,052 1,156 1,241 1,282 2,836 3 , 128 3,469 3,695 3,763 1,995 2,212 2,465 2,624 2,670 84 1 9 16 1,004 1,071 1,093 1960 196 1 1962 19 6 3 1964 --------_____ --------_____ _____ 415 505 455 508 64 1 305 357 370 4 15 474 109 148 85 92 166 4 5 5 5 6 03 60 54 85 36 3 3 3 4 4 ,5 ,7 ,9 ,2 ,5 2 4 6 2 2 1 1 1 1 1 ,380 ,515 ,585 ,661 ,808 3 4 4 4 5 ,9 ,2 ,4 ,7 ,0 7 5 6 2 8 0 3 8 0 8 2 2 3 3 3 ,7 ,9 ,1 ,3 ,5 9 6 3 3 7 8 6 3 2 6 1,172 1,286 1,334 1,388 1,511 5 5 6 6 7 ,0 ,7 ,2 ,5 ,0 74 10 23 89 12 1, 963 2,138 2,287 2 , 4 18 2,495 5 6 6 7 7 ,7 ,4 ,9 ,3 ,7 0 1 7 5 3 2 9 5 6 3 4 4 5 5 5 ,0 ,6 ,0 ,3 ,6 60 27 6 1 39 67 1,642 1,792 1,914 2 , 0 17 2,065 2 2 2 2 2 8,048 8,36 1 8,575 8,866 9 , 4 18 5 6 6 6 7 ,9 ,1 ,3 ,6 ,1 21 94 84 39 14 2 , 126 2 , 167 2,190 2,2 2 6 2,303 1 9 6 5 _____ 1966 . . . . 1 9 6 7 _____ 1968. .. . 1 9 6 9 _____ 906 1,033 900 751 772 729 834 723 591 663 176 199 176 160 109 7,037 7,849 8,5 1 1 9,007 9,507 1970 197 1 1972 1973 1974 739 765 694 80 1 1,093 6 12 656 600 690 938 126 109 94 1 10 155 9,953 10,404 10,762 11,203 11,911 _____ _____ --------_____ _____ 1,564 1,753 1 , 939 2,1332,352 T o ta l 1 9 5 0 --------1 9 5 1 --------1 9 5 2 _____ 1 9 5 3 .... 1 9 5 4 --------- ,9 ,2 ,5 ,8 ,3 1 5 0 5 3 S tr u c tu r e s 7,36 7,74 8,05 8,42 9,02 2 4 8 4 8 8 8 3 9 9 _______ _________ 69 ,5 ,6 ,7 ,7 ,8 8 5 0 7 8 5 6 8 4 1 _______ Sector 29. Drugs, cleaning and toilet preparations: Historical dollars (Millions of dollars) G ross T o ta l 1 9 4 7 _____ 1948 . . . . 1 9 4 9 _____ $ 140 98 100 G ross in v e s tm e n t ------------------------------------ 1 E qu ip m e nt I $73 54 56 I I I S tr u c tu r e s Equ i p m e n t T o ta l $66 44 44 Net s to c k s $548 638 730 $296 344 393 S tr u c tu r e s T o ta l $251 294 337 s to c k s Equi pment $496 576 655 S tr u c tu r e s $263 303 342 $233 273 313 1950 195 1 1952 1953 1954 _____ _____ _____ _____ _____ 1 18 218 150 135 105 76 13 1 98 81 70 | I | I I 4 1 86 5 1 54 35 837 1, 042 1,176 1,293 1,375 460 580 665 729 779 376 46 1 511 563 596 747 935 1,048 1,14 1 1,196 399 506 575 621 651 348 429 473 519 544 1955 1956 1957 1958 1959 _____ _____ . . . . _____ _____ 95 137 157 155 164 66 93 106 99 95 | I I | 28 43 50 56 69 1,444 1,549 1,669 1,782 1,897 821 886 958 1,018 1, 068 622 663 7 11 764 829 1,236 1,312 1,401 1,482 1,565 673 717 768 807 837 563 595 632 674 727 1960 196 1 1962 1963 1964 _____ _____ _____ ----------------- 167 173 178 202 191 94 105 120 123 124 1 I I | 72 67 58 78 66 2 2 2 2 2 ,009 , 120 ,231 ,360 ,47 1 1,111 1, 160 1,219 1,276 1,329 898 960 1,012 1,084 1, 142 1 1 1 1 1 ,644 ,723 ,802 ,898 ,978 861 893 935 977 1,016 1 9 6 5 .... 1 9 6 6 _____ 1 9 6 7 _____ 1 9 6 8 _____ 1 9 6 9 _____ 243 270 351 363 429 142 172 207 212 239 | 10 1 97 143 15 1 189 2 2 3 3 3 ,6 ,8 ,0 ,3 ,6 8 6 8 8 8 1,395 1,487 1 , 6 11 1,736 1,885 1,233 1,318 1,447 1,582 1,752 2 2 2 2 2 ,1 ,2 ,4 ,6 ,9 0 4 6 9 7 3 9 8 2 2 1,069 1, 148 1,258 1,368 1,499 1 1 1 1 1 1 9 7 0 _____ 1 9 7 1 _____ 1 9 7 2 _____ 1 9 7 3 .... 1 9 7 4 _____ 560 5 17 482 486 630 332 320 339 316 394 I I | I 227 196 143 170 235 4,083 4,479 4,832 5 , 182 5,665 2 , 125 2,348 2,585 2,794 3,073 1, 958 2,130 2,247 2,388 2,5 9 1 3 3 4 4 4 ,3 ,7 ,0 ,2 ,7 73 16 09 91 00 1 , 7 16 1,911 2,113 2,280 2,511 1,656 1,804 1,896 2,0 1 1 2 , 188 I 2 0 5 1 3 782 830 866 92 1 96 1 ,0 ,1 ,2 ,3 ,4 3 0 0 2 7 4 0 9 3 3 Sector 29. Drugs, cleaning and toilet preparations: Constant dollars (Millions of 1972 dollars) G ross in v e s tm e n t G ross s to c k s Net s to c k s Year T o ta l 1 | Equi p m e n t S tr u c tu r e s T o ta l Equi pment S tr u c tu r e s T o ta l Equ i p m e n t S tr u c tu r e s ________________ 1-------1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ $ 3 10 20 1 202 | | | j $ 163 1 12 1 12 $ 147 88 90 $1,586 1,762 1,935 $775 869 959 $8 11 892 975 $1,406 1,553 1,694 $677 751 8 18 $729 802 875 1,856 2 , 166 2,334 2,463 2,527 9 13 1,083 1 , 182 1,239 1,267 942 1,082 1,152 1,224 1,260 1950 195 1 1952 1953 1954 _____ _____ _____ _____ _____ 233 390 26 1 234 179 | | I | | 147 229 169 136 116 85 160 92 97 63 2 2 2 2 2 ,1 ,4 ,7 ,8 ,9 3 8 0 8 9 4 5 0 1 9 1,081 1,279 1,411 1,503 1,566 1 1 1 1 1 ,0 ,2 ,2 ,3 ,4 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ 158 2 11 227 227 242 | I I | | 107 139 147 136 127 5 1 72 80 9 1 1 14 3 3 3 3 3 ,0 ,2 ,3 ,4 ,6 86 17 52 77 05 1 , 6 12 1,681 1,749 1,796 1,823 1 1 1 1 1 ,474 ,535 ,603 ,681 ,782 2 2 2 2 2 ,5 ,6 ,7 ,7 ,8 60 35 16 87 64 1,277 1,312 1,347 1,364 1,367 1 1 1 1 1 ,282 ,323 ,368 ,422 ,497 1960 196 1 1962 1963 1964 _____ _____ _____ _____ _____ 245 249 251 285 263 | | I I | 123 137 156 158 157 121 111 95 127 105 3,726 3,840 3,949 4,082 4 , 185 1 1 1 1 1 1,886 1, 979 2,053 2 , 155 2,233 2 3 3 3 3 ,9 ,0 ,0 ,1 ,2 3 0 7 6 2 6 5 0 2 7 1,362 1,367 1,389 1,411 1,430 1 1 1 1 1 ,5 ,6 ,6 ,7 ,7 1965 1966 1967 1968 1969 _____ _____ _____ _____ _____ 333 353 446 445 500 I | I | | 177 2 10 243 24 1 266 155 143 202 204 233 4 4 4 5 5 ,3 ,5 ,7 ,0 ,3 5 2 9 5 6 0 9 5 5 5 1,994 2,067 2,17 1 2,272 2,399 2 2 2 2 2 ,3 ,4 ,6 ,7 ,9 5 6 2 8 6 6 2 3 2 6 3 3 3 3 4 ,357 ,502 ,733 ,956 ,226 1,469 1,538 1,640 1,735 1,852 1,888 1,963 2,093 2,221 2,374 1 9 7 0 _____ 1 9 7 1 _____ 1 9 7 2 _____ 1 9 7 3 _____ 1 9 7 4 _____ 6 12 534 482 468 536 | | | | | 354 327 339 310 352 258 206 143 157 184 5 6 6 6 6 ,7 ,1 ,3 ,6 ,9 8 1 8 4 5 2 5 9 2 3 2 2 2 3 3 3 3 3 3 3 ,1 ,3 ,3 ,4 ,5 6 1 9 8 9 9 6 6 5 7 4 4 5 5 5 ,5 ,8 ,0 ,2 ,5 2 2 2 2 2 2 2 2 2 2 _______________ ________________ I____ 70 ,839 ,861 ,895 ,926 ,952 ,6 ,7 ,9 ,1 ,3 13 98 93 56 55 5 0 8 7 3 3 5 9 8 2 9 7 9 8 2 8 9 6 3 5 ,051 ,215 ,382 ,509 ,666 ,5 ,6 ,7 ,7 ,8 7 3 8 5 9 3 7 0 1 7 47 64 13 74 58 _ Sector 30. Paints and allied products: Historical dollars (Millions of dollars) G ross G ross in v e s tm e n t Net s to c k s s to c k s Year E qu ip m e nt T o ta l I S tr u c tu r e s S tr u c tu r e s Equi pment T o ta l Equi pment T o ta l S tr u c tu r e s $53 80 9 1 $49 73 83 $96 145 164 $49 74 84 $47 70 79 11 10 194 228 247 270 290 102 122 133 144 155 91 105 1 14 125 135 179 209 224 24 1 256 92 109 117 124 13 1 86 99 107 117 124 | | I I | 6 9 9 15 7 307 332 353 379 393 166 182 195 206 2 14 140 149 158 173 179 267 284 299 318 325 138 149 158 164 167 128 135 14 1 154 157 I i I I I | | | I | 7 6 9 12 11 409 424 440 462 434 223 232 240 252 264 186 191 199 2 10 2 19 333 34 1 349 365 38 1 172 178 182 19 1 20 1 160 162 166 174 179 27 23 27 18 23 527 569 6 16 660 704 283 304 328 357 383 244 264 288 302 321 4 18 453 494 531 567 217 237 258 284 307 200 216 236 246 260 I | | j I | 30 20 26 2 1 40 791 829 887 933 1 , 025 445 469 506 539 598 345 360 380 394 427 646 675 72 1 757 836 365 383 4 13 438 488 281 291 308 3 18 347 1 9 4 7 .... 1948 . . . . 1 9 4 9 --------- $38 52 23 $20 27 12 I | | 1950 . . . . 1 9 5 1 _____ 1 9 5 2 .... 1 9 5 3 _____ 1 9 5 4 --------- 20 36 22 26 24 12 21 12 14 14 l | I I | | 1955 1956 1957 1958 1959 _____ . . . . _____ . . . . _____ 21 30 28 34 22 15 20 19 18 15 1960 . . . . 1 9 6 1 .... 1 9 6 2 _____ 1 9 6 3 .... 1 9 6 4 _____ 25 26 28 37 37 18 19 19 24 25 1 9 6 5 .... 1966 . . . . 1 9 6 7 _____ 1 9 6 8 .... 1 9 6 9 _____ 60 60 66 64 65 33 36 39 45 42 1 9 7 0 _____ 1 9 7 1 .... 1 9 7 2 .... 1973.. . . 1 9 7 4 _____ 109 62 82 73 120 79 4 1 55 51 79 $17 24 10 $102 153 175 8 14 9 ___ |___ _________ ________________ Sector 30. Paints and allied products: Constant dollars (Millions of 1972 dollars) Gross i nvestm e n t G ross s to c k s Net s to c k s Year T o ta l I | E qu ip m e nt S tr u c tu re s 1 9 4 7 _____ 1 9 4 8 _____ 1949. .. . $86 108 48 I I | I $47 60 26 $39 48 21 1 9 5 0 _____ 1 9 5 1 _____ 1 9 5 2 _____ 19 5 3 . . . . 1954. . . . 41 65 39 45 42 I I I I | j 24 38 22 25 24 17 27 16 20 18 1955 1956 1957 1958 1959 _____ _____ _____ . . . . _____ 36 47 42 51 33 | I I | | 25 3 1 27 25 2 1 1960 196 1 1962 1963 1964 _____ _____ _____ _____ _____ 36 37 40 52 51 | | | | I j 1965 1966 1967 1968 1969 _____ . . . . _____ _____ _____ 83 79 85 77 75 1 18 64 82 70 10 1 1 9 7 0 _____ 1 9 7 1 _____ 1 9 7 2 ... . 1 9 7 3 _____ 1974 . . . . T o ta l Equ i p m e n t $286 39 1 435 S tr u c tu r e s T o ta l Equ i p m e n t S tr u c tu r e s $ 138 196 219 $148 195 215 472 532 565 603 636 240 275 293 3 12 328 231 257 272 29 1 307 428 479 50 1 527 548 214 243 253 263 27 1 213 236 248 264 276 11 15 14 25 12 66 1 695 722 755 769 344 364 378 389 392 317 33 1 343 366 376 560 580 594 6 14 6 14 278 289 296 298 294 28 1 290 298 3 16 319 25 26 25 32 33 11 10 14 20 18 783 795 808 829 848 398 402 404 4 10 416 385 393 403 4 18 431 6 15 6 15 6 17 630 64 0 294 293 291 295 300 321 322 325 334 339 I | | | | 42 45 46 52 47 4 1 34 38 25 28 897 940 988 1, 027 1,063 430 447 465 489 507 466 492 522 537 555 682 7 19 760 792 82 1 314 332 350 374 391 367 386 4 10 4 18 429 | | I | | 84 42 55 50 69 34 21 26 20 3 1 1, 140 1, 163 1,203 1,229 1,284 563 578 605 627 667 577 585 597 60 1 6 16 891 905 935 951 995 445 456 479 494 527 445 448 456 456 468 ________________ 1_____ $262 362 399 $126 180 199 _____________________ 71 $136 18 1 200 Sector 31. Petroleum refining: Historical dollars (Millions of dollars) G ross G ross in v e s tm e n t Net s to c k s s to c k s | E qu ip m e nt T o ta l I S tr u c tu re s $4,001 4,427 4 , 7 19 T o ta l S tr u c tu r e s Equ i p m e n t T o ta l $3,092 3,481 3,733 $2,735 3,038 3,248 $1,266 1,388 1,471 Equ i p m e n t $1,061 1,152 1,201 S tr u c tu r e s $2,031 2,3 2 9 2,532 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ $348 552 427 $58 160 127 ! | $289 391 299 1 9 5 0 _____ 1951. .. . 1 9 5 2 _____ 1 9 5 3 _____ 1 9 5 4 _____ 273 355 464 677 704 103 159 235 243 247 I I I | 169 195 228 433 457 4 5 5 5 6 ,8 ,0 ,3 ,8 ,3 4 4 4 5 8 7 7 8 5 4 1,521 1 , 6 18 1,784 1 , 952 2,118 3 3 3 3 4 ,3 ,4 ,5 ,9 ,2 2 2 6 0 6 6 9 3 3 5 3 3 4 4 5 ,821 ,983 ,247 , 7 14 , 198 1 1 1 1 1 18 84 20 57 89 2 2 2 3 3 ,602 ,698 ,826 , 157 ,508 1 9 5 5 _____ 1 9 5 6 _____ 1 9 5 7 _____ 1958. .. . 1 9 5 9 --------- 603 708 900 688 433 176 176 278 159 148 I I I I | 427 532 621 529 285 6 7 8 8 8 ,8 ,3 ,0 ,5 ,7 0 2 2 0 2 5 3 6 9 8 2 2 2 2 2 , , , , , 2 2 4 5 5 0 8 5 0 2 5 5 7 1 3 4 5 5 6 6 ,5 ,0 ,5 ,0 ,2 9 3 6 0 0 9 8 8 7 5 5 6 6 7 7 ,5 ,0 ,6 ,0 ,2 6 3 7 8 2 1,741 1,786 1 , 926 1,935 1,928 3 4 4 5 5 ,826 ,243 ,744 , 145 ,295 1960 196 1 1962 1963 1964 _____ _____ _____ . . . . _____ 485 495 480 414 413 130 127 182 130 146 | I I | 355 368 298 284 267 8,991 9,257 9,500 9,668 9,828 2 2 2 2 2 , , , , , 5 5 5 5 4 1 0 3 1 9 8 2 5 0 6 6 6 6 7 7 ,473 ,754 ,965 , 158 ,331 7 7 7 7 7 ,4 ,5 ,7 ,8 ,8 05 85 37 11 74 1 1 1 1 1 97 59 74 33 08 5 5 5 5 6 , , , , , 5 7 8 9 0 0 2 6 7 6 7 5 3 7 5 1 9 6 5 _____ 1 9 6 6 _____ 1 9 6 7 --------1968. .. . 1 9 6 9 _____ 604 669 1,000 1,065 1,072 180 254 439 644 522 I I I | 424 4 15 560 42 1 549 10,172 10,573 11,296 12,073 12,844 2 2 2 3 3 ,5 ,6 ,8 ,3 ,6 1 0 7 4 9 4 2 3 7 6 7, 7, 8 , 8 , 9, 8,116 8 , 4 11 9,020 9,674 10,307 1,816 1,898 2 , 163 2,626 2,957 6 6 6 7 7 ,3 ,5 ,8 ,0 ,3 0 1 5 4 5 0 2 7 7 0 _____ _____ _____ _____ _____ 1,218 1,305 1, 155 1,107 1,846 547 553 529 637 1,047 | | | | 670 75 1 625 470 798 1 1 1 1 1 4 4 4 5 6 ,0 ,4 ,7 ,2 ,0 7 4 9 3 8 0 6 3 8 1 11,0 1 1,8 12,4 13,0 14,2 3 3 3 4 5 7,758 8,230 8,557 8,7 1 3 9 , 183 1970 197 1 1972 1973 1974 3 4 5 6 7 ,7 ,7 ,5 ,2 ,6 48 20 20 46 79 > 1 1 1 1 658 970 422 725 147 9,677 0,274 0,727 1,008 1,598 5 6 8 1 4 7 0 0 1 3 9 4 2 4 4 ,2 ,2 ,4 ,5 ,6 ,8 ,8 ,8 ,8 ,8 ,3 ,6 ,9 ,3 ,0 0 3 2 0 6 0 4 4 0 1 _______________________ _____________________ Sector 31. Petroleum refining: Constant dollars (Millions of 1972 dollars) G ross in v e s tm e n t G ross s to c k s Net s to c k s Year T o ta l E qu ip m e nt 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ $764 1,096 851 $121 3 14 24 0 1 9 5 0 _____ 1 9 5 1 _____ 1 9 5 2 _____ 1 9 5 3 _____ 1954. . . . 544 627 793 1,166 1,223 19 1 265 385 392 392 1955 1956 1957 1958 1959 1 1 1 1 ,047 ,135 ,358 ,077 665 270 248 37 1 209 189 756 775 7 19 623 606 165 16 1 230 164 182 _____ _____ _____ _____ _____ 1 9 6 0 _____ 1 9 6 1 _____ 1 9 6 2 _____ 1 9 6 3 _____ 1 9 6 4 _____ 1965 1966 1967 1968 1969 _____ _____ _____ _____ _____ 877 920 1,312 1,310 1,267 225 310 523 740 580 1970 197 1 1972 1973 1974 _____ _____ _____ _____ _____ 1,345 1,355 1, 155 1,060 1,559 582 564 529 624 935 ! I | | S tr u c tu r e s $643 782 6 10 T o ta l Equi pment $14,607 15,154 15,436 | | S tr u c tu r e s $11,256 11,595 11,764 352 362 407 774 830 1 1 1 1 1 ,391 ,408 ,574 ,101 ,674 3 3 4 4 4 ,7 ,8 ,0 ,1 ,3 14 10 09 99 77 | | | | 1 1 1 1 1 1,676 1,598 1,565 1, 9 0 2 2,297 777 886 986 867 475 17,062 17,526 18,204 18,594 18,566 4 4 4 4 4 ,4 ,4 ,5 ,4 ,3 1 2 3 7 7 9 4 7 2 3 | | | | | 1 1 1 1 1 2,643 3,101 3,667 4,122 4,193 | 591 6 14 488 458 423 18,626 18,705 18,729 18,661 18,583 4 4 4 3 3 ,2 ,0 ,0 ,8 ,7 3 9 1 7 5 8 3 6 4 4 | 14,388 14,611 14,713 14,787 14,829 | | | | 652 6 10 789 569 686 18,783 19,032 19,678 20,321 20,919 3,68 3,70 3,94 4,40 4,70 3 2 0 2 8 | | | | 15,100 15,330 15,737 15,918 16,210 762 791 625 436 623 2 2 2 2 2 5 5 5 5 6 4 3 9 6 5 | | | | | 16,569 16,942 1 7, 129 17,107 17,253 j j I | | j | | | | | I I ___ l _ 5 5 5 6 6 $3,351 3,558 3,672 1 | 1 2 2 3 3 ,5 ,2 ,7 ,0 ,8 9 6 1 5 5 3 6 9 4 8 ,0 ,3 ,5 ,9 ,6 2 2 8 4 0 | | _____________ L 72 T o ta l I I I I 1 1 $10,696 1 1, 184 11,404 $2,779 2,905 2,937 S tr u c tu r e s $7,917 8 ,278 8,467 1,301 1,272 1,402 1,898 2,441 2 2 3 3 3 ,9 ,9 ,0 ,1 ,3 02 29 65 98 20 8,398 8 ,3 4 3 8,336 8,700 9 , 120 12,797 13,232 13,882 14,240 14,178 3 3 3 3 3 ,3 ,2 ,3 ,2 ,1 11 7 1 48 55 4 1 9,486 9,96 1 10,534 10,984 11,037 14,207 14,252 14,240 14,131 14,007 3 2 2 2 2 ,0 ,8 ,8 ,6 ,5 0 6 0 7 8 3 5 2 9 2 1 1 1 1 1 1 1 1 1 1 ,2 ,3 ,4 ,4 ,4 03 86 38 52 25 j I i 14,154 14,340 14,910 15,461 15,949 2 2 2 3 3 ,5 ,5 ,8 ,3 ,6 3 8 4 2 3 5 0 3 3 5 11 11 12 12 12 ,6 ,7 ,0 ,1 ,3 19 59 66 38 13 I I I I 1 1 1 1 1 3 4 4 4 5 ,943 ,220 ,447 ,7 5 1 ,344 I I I I I 1 1 1 1 1 Equ i p m e n t 6,491 7,016 7,308 7,475 8,107 _________ 12,548 12,795 12,860 12,723 12,762 Sector 32. Rubber and miscellaneous plastic products: Historical dollars (Millions of dollars) — G ross T o ta l G ross in v e s tm e n t E qu ip m e nt S tr u c tu r e s s to c k ; Equ i p m e n t T o ta l S tr u c tu r e s Equ i p m e n t T o ta l Net s to c k s S tr u c tu r e s $ 6 18 7 16 788 $431 5 10 563 $186 206 224 $533 623 684 $381 45 1 495 $152 171 189 893 ,026 ,175 ,322 ,468 652 763 882 1,003 1, 129 241 262 293 319 338 776 892 1,021 1, 145 1,263 57 1 668 767 867 968 204 224 253 277 295 33 33 4 1 33 43 1,616 1,801 1,981 2 , 129 2,305 1,249 1,406 1,549 1,668 1,806 367 395 432 46 1 499 1,381 1,531 1,674 1,781 1,913 1,060 1, 186 1,295 1,378 1,477 320 345 379 403 436 248 237 300 286 324 50 54 49 53 70 2 2 3 3 3 ,5 ,7 ,0 ,2 ,5 4 6 4 9 9 1,999 2 , 174 2,402 2,608 2,842 544 594 638 686 75 1 2 2 2 2 2 ,1 ,2 ,5 ,7 ,9 1,632 1,767 1,953 2,116 2,304 475 517 553 592 647 j I i I I 428 494 547 592 699 84 92 131 188 159 4 4 5 5 6 , , , , , 00 69 19 59 65 3 3 3 4 5 ,17 1 ,555 ,982 ,444 ,001 829 9 14 1,036 1,215 1,363 3 3 4 4 5 ,299 ,704 , 183 ,743 ,357 | I I | | 656 579 816 1,028 1, 124 7,019 7,577 8,382 9,454 10,675 5 5 6 7 8 ,5 ,9 ,5 ,3 ,2 1,515 1,662 1,834 2,079 2,397 5,90 6,34 7,02 7,95 9,00 1947 . . . . 1948 . . . . 1 9 4 9 _____ $144 112 87 I | | $100 88 64 $44 24 23 1950 . . . . 1 9 5 1 .... 1952. . . . 1 9 5 3 .... 1 9 5 4 --------- 120 149 168 168 170 I I I I I 99 123 132 137 145 21 25 36 30 24 1 1 1 1 1955. . . . 1956 . . . . 1957 . . . . 1958. . . . 1 9 5 9 --------- 176 2 17 218 192 226 | | I I | 143 184 176 158 183 1960 . . . . 1 9 6 1 .... 1962. . . . 1963.. . . 1 9 6 4 _____ 298 292 349 340 394 | I i I I 1965. . . . 1966 . . . . 1 9 6 7 .... 1968. . . . 1 9 6 9 _____ 513 587 678 780 858 1970 . . . . 1 9 7 1 .... 1972. . . . 1 9 7 3 ... . 1 9 7 4 _____ 8 19 740 1,003 1,289 1,461 163 160 186 26 1 336 0 4 0 6 3 4 8 1 4 3 0 1 4 7 7 3 4 7 4 8 0 8 0 0 5 8 4 7 8 1 6 7 3 0 7 2 2 3 3 4 ,585 , 9 17 ,286 ,681 ,164 7 14 787 897 1,061 1,193 4 4 5 6 6 ,579 ,892 ,417 , 122 ,886 1,327 1,455 1,606 1,827 2 , 120 ________________ I____ Sector 32. Rubber and miscellaneous plastic products: Constant dollars (Millions of 1972 dollars) — G ross in v e s tm e n t G ross s to c k s Net s to c k s Year r T o ta l 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ $36 1 258 192 Equi pment S tr u c tu r e s $263 209 144 $97 48 47 T o ta l Equ i p m e n t $ 1,857 2,061 2 , 199 S tr u c tu r e s T o ta l $1,189 1,365 1,478 $668 695 721 744 770 8 12 846 868 2 2 2 2 2 ,0 ,1 ,3 ,5 ,7 Equi pment $1,539 1,725 1,838 S tr u c tu r e s | | | $1,030 1,190 1,278 $508 535 560 07 93 94 81 5 3 | | I I i 1,425 1,585 1,746 1,900 2,052 582 607 648 680 700 736 767 808 837 88 1 1950 195 1 1952 1953 1954 _____ _____ _____ _____ _____ 255 280 308 304 303 211 233 244 250 259 43 47 64 54 44 2 2 2 3 3 ,3 ,6 ,8 ,1 ,3 99 21 67 03 31 1,655 1,851 2,054 2,257 2,462 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ 302 338 321 28 1 326 242 283 254 226 255 59 55 66 54 71 3 3 4 4 4 ,5 ,7 ,0 ,1 ,3 4 9 0 7 6 9 3 8 0 2 2 2 3 3 3 ,6 ,8 ,0 ,1 ,2 4 5 2 4 8 2 1 0 8 8 907 94 1 987 1,022 1, 073 2 3 3 3 3 ,9 ,0 ,2 ,3 ,4 1 8 3 2 5 0 9 6 8 2 I | j | | 2 2 2 2 2 1 9 6 0 _____ 1 9 6 1 _____ 1 9 6 2 _____ 1 9 6 3 _____ 1 9 6 4 _____ 4 18 407 475 463 532 335 316 394 377 420 83 90 80 86 111 4 4 5 5 5 ,6 ,8 ,1 ,4 ,7 3 7 6 2 5 0 0 3 9 0 3 3 3 4 4 ,4 ,6 ,8 ,0 ,3 9 6 9 9 2 2 2 4 4 4 1 1 1 1 1 ,137 ,208 ,269 ,335 ,426 3 3 4 4 4 ,6 ,8 ,0 ,2 ,5 5 2 5 6 2 3 8 9 4 5 | I | | | 2 , 7 17 2,832 3 , 0 13 3 , 165 3,350 936 996 1,046 1,098 1,175 1965 1966 1967 1968 1969 --------_____ _____ _____ _____ 672 746 836 935 973 542 6 10 65 1 68 1 777 129 135 184 254 196 6 6 7 7 8 ,1 ,7 ,2 ,9 ,6 9 0 9 6 6 7 6 2 6 7 4 5 5 5 6 ,6 ,0 ,4 ,9 ,4 6 5 8 3 6 3 9 6 2 5 1,534 1,646 1,806 2,034 2,202 4 5 5 6 7 ,9 ,3 ,8 ,4 ,0 1 5 7 6 7 2 6 3 8 8 | | | I | 3,645 3,994 4,369 4,757 5,222 1,267 1,362 1,503 1 , 7 10 1,856 1970 197 1 1972 1973 1974 _____ _____ _____ _____ _____ 876 754 1,003 1,240 1,258 690 585 816 998 995 185 169 186 242 262 9,260 9 , 7 16 10,406 11,316 12,221 6 7 7 8 9 ,9 ,2 ,7 ,4 ,1 01 2 1 58 63 46 2 2 2 2 3 7 7 8 9 9 ,5 ,9 ,4 ,2 ,9 6 0 6 3 7 5 4 5 0 4 | I | I | 5 5 6 6 7 1,987 2,098 2,223 2,399 2,592 _______ _________ 73 , , , , , 3 4 6 8 0 5 9 4 5 7 8 5 7 2 5 _________ I ,1 ,3 ,4 ,4 ,5 ,5 ,8 ,2 ,8 ,3 7 2 2 9 7 7 0 4 3 8 3 2 7 1 0 8 6 1 0 1 Sector 33. Leather tanning: Historical dollars (Millions of dollars) G ross Year i nvestm e n t G ross s to c k s Net s to c k s _____________________________________ L T o ta l | E qu ip m e nt S tr u c tu r e s j T o ta l Equ i p m e n t 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ $11 18 12 | I | $7 11 7 $3 6 4 $55 7 1 80 $30 4 1 47 1950 1951 1952 1953 1954 _____ _____ _____ _____ _____ 8 8 5 8 8 I I | I I 6 6 3 5 5 2 2 1 2 2 86 9 1 93 98 102 1955 1956 1957 1958 1959 _____ _____ _____ --------_____ 7 7 7 8 8 i | | I I I 5 5 6 6 6 2 1960 196 1 1962 1963 1964 _____ _____ _____ _____ _____ 7 5 8 7 8 j I j | I 5 4 6 6 7 1 1 1 1965 1966 1967 1968 1969 _____ _____ _____ _____ _____ 12 18 17 17 15 | I | | | 10 12 12 12 11 2 5 5 5 3 1 9 7 0 _____ 1 9 7 1 _____ 1 9 7 2 _____ 1 9 7 3 .... 1 9 7 4 _____ 13 18 17 13 14 I | | | | 11 14 13 10 10 2 3 4 3 3 1 1 2 2 1 1 __________ 1___ I i I ! I I | I I I I S tr u c tu r e s T o ta l Equi pment S tr u c tu r e s $24 30 33 $44 59 68 52 56 59 62 66 33 34 34 35 36 73 77 77 81 84 45 49 49 52 53 27 28 28 28 30 106 109 1 12 1 16 1 19 68 70 73 76 79 37 38 38 39 40 35 87 89 9 1 93 55 55 57 58 60 30 31 31 32 33 12 1 12 1 123 123 125 80 80 8 1 82 83 4 1 40 4 1 4 1 4 1 93 9 1 92 91 92 59 58 59 59 60 33 32 32 32 32 130 14 1 151 16 1 168 87 94 100 106 1 12 42 46 5 1 54 56 97 107 1 17 126 132 64 7 1 77 83 88 32 35 39 42 43 174 185 194 199 205 1 17 126 133 136 140 57 59 6 1 62 64 137 146 153 157 160 _____________ L $26 36 4 1 92 100 106 108 110 $ 18 23 26 44 45 47 48 49 ___ _____________ Sector 33. Leather tanning: Constant dollars (Millions of 1972 dollars) ---------------------------- r — G ross G ross in v e s tm e n t s to c k s Net s to c k s Year E quipm ent T o ta l i 1 S tr u c tu r e s 1 $8 13 8 r | | j | | I | I « 3 1 3 8 7 I | 8 9 I 1 9 4 7 _____ 1 9 4 8 --------1 9 4 9 .... $26 39 24 $ 18 16 I ! 1 9 5 0 _____ 1 9 5 1 _____ 1 9 5 2 _____ 1 9 5 3 _____ 1 9 5 4 _____ 17 14 8 13 13 13 10 6 10 9 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ 12 10 11 12 11 8 I 1960 196 1 1962 1963 1964 . . . . _____ _____ --------_____ 9 7 11 9 11 7 6 8 3 9 1965 1966 1967 1968 1969 . . . . _____ _____ _____ _____ 16 24 22 21 17 1970 197 1 1972 1973 1974 _____ _____ _____ _____ _____ 14 19 17 13 12 r 1 T o ta l I E quipm ent S tr u c tu r e s i T o ta l Equ i p m e n t S tr u c tu r e s $ 188 218 234 | | j $90 1 12 125 $97 105 j | $ 14 1 17 1 186 $74 96 106 $66 75 109 j I j 1 242 248 247 250 254 I | | I | 134 140 142 147 150 108 107 104 103 103 | | j I | 193 196 192 194 195 113 1 17 1 16 1 18 1 18 79 78 76 76 76 3 2 2 3 3 I 1 1 1 I 255 254 253 253 252 I | | I | 152 153 153 154 154 102 10 1 99 99 98 194 19 1 188 186 183 1 17 115 113 112 110 76 75 74 74 73 I 2 i I j I I I 2 1 1 | 2 I 249 242 238 233 229 | I I | | 15 1 147 144 140 137 97 95 94 92 91 178 17 1 167 162 158 106 10 1 98 95 93 72 70 68 66 65 13 16 14 14 13 | | | I | 2 7 7 6 4 I I I I I 229 238 245 252 255 | | | I | 138 142 146 149 15 1 91 95 99 103 103 160 170 178 186 189 96 102 106 111 1 14 64 68 72 74 74 11 15 13 10 9 I I I 1 2 4 4 3 I I I I I 255 26 1 264 264 263 | I | I I 153 158 162 163 163 102 102 102 10 1 99 190 195 198 197 194 1 16 121 125 124 123 73 73 73 72 70 26 _____________________ 1____ 2 __________ L _______________I____ 74 _____________________ I I | | I I | | | | j l 79 Sector 34. Footwear and other leather products: Historical dollars (Millions of dollars) — G ross G ross in v e s tm e n t Net s to c k s s to c k s Year — T o ta l Equ i p m e n t $ 111 117 122 $ 182 192 199 S tr u c tu r e s $70 74 77 $96 100 103 264 270 274 28 1 292 160 166 170 176 183 104 104 104 105 108 206 209 2 11 2 16 223 128 131 133 136 141 77 78 78 79 81 6 7 6 5 5 310 329 34 1 35 1 363 199 2 13 223 231 24 1 m 115 1 17 1 19 121 240 256 265 272 280 155 167 174 179 186 84 88 9 1 92 94 23 21 2 1 23 22 5 9 7 5 8 376 389 40 1 4 11 423 252 26 1 269 277 283 123 128 132 134 139 290 300 309 3 16 325 194 200 205 211 216 95 100 103 104 108 36 45 46 63 50 27 30 3 1 42 34 8 14 15 20 16 439 464 490 53 1 560 295 310 324 349 366 143 154 165 181 194 338 359 38 1 419 443 226 238 249 272 285 1 12 121 131 147 158 51 54 59 69 63 35 4 1 43 47 4 1 15 12 15 21 22 588 6 19 654 697 734 383 405 428 454 473 205 213 225 242 260 466 49 1 5 19 556 586 298 316 335 356 370 167 174 184 199 215 $17 14 13 $5 7 6 ----------------_____ . . . . _____ 19 17 15 19 22 15 12 11 14 16 4 4 4 4 6 1 9 5 5 _____ 1 9 5 6 _____ 1 9 5 7 _____ 1958. .. . 1 9 5 9 _____ 32 32 26 24 27 25 24 20 18 21 1 9 6 0 --------1 9 6 1 _____ 1 9 6 2 --------1 9 6 3 .... 1 9 6 4 _____ 29 30 29 29 30 1965 1966 1967 1968 1969 _____ _____ . . . . . . . . _____ 1970 . . . . 1 9 7 1 _____ 1 9 7 2 _____ 1 9 7 3 _____ 1 9 7 4 _____ 1950 195 1 1952 1953 1954 T o ta l S tr u c tu r e s Equ i p m e n t $138 146 152 $22 21 20 1 9 4 7 _____ 1 9 4 8 .... 1 9 4 9 _____ T o ta l S tr u c tu r e s Equ i p m e n t $234 246 256 _________ __________ Sector 34. Footwear and other leather products: Constant dollars (Millions of 1972 dollars) — -------------- r Gross i nvestm e n t G ross i Year T o ta l 1 9 4 7 _____ 1 9 4 8 --------1 9 4 9 _____ $50 44 40 _____ . . . . _____ _____ . . . . 37 30 27 33 38 1955. .. . 1 9 5 6 _____ 1 9 5 7 _____ 1 9 5 8 _____ 1 9 5 9 _____ 53 50 33 35 38 1960 196 1 1962 1963 1964 _____ _____ _____ _____ --------- 40 44 40 39 42 1 9 6 5 _____ 1 9 6 6 _____ 1967 . . . . 1 9 6 8 _____ 1 9 6 9 --------- 47 59 58 76 58 1970 197 1 1972 1973 1974 55 56 59 66 53 1950 1951 1952 1953 1954 _____ _____ _____ _____ _____ i I | | | | | | | | | I | I | I E qu ip m e nt $38 29 26 41 37 28 26 29 I | | I | | 35 38 37 48 38 | | I | | 37 42 43 45 36 S tr u c tu r e s | I I | r | | 29 22 20 24 27 32 29 29 30 28 | | i I | I | | I I | I I I | | | | I | | | I _______ I_ $ n 19 13 8 7 7 8 11 | i I | I | i 11 12 9 9 s i 8 14 I I 11 9 13 | 12 20 21 27 20 17 13 15 20 17 I I I I I I I | | | I | | T o ta l Net s to c k s E qu ip m e nt I | S tr u c tu r e s | T o ta l s to c k s Equ i p m e n t S tr u c tu r e s $812 8 19 823 $392 402 408 I | $419 4 17 4 14 $60 1 606 606 $308 314 316 $293 292 289 822 814 802 795 792 416 4 17 415 4 15 4 18 | | I | 406 397 387 379 374 603 59 1 577 567 562 321 3 17 311 308 307 282 273 265 258 254 803 8 1 1 805 797 79 1 434 445 446 445 447 369 365 358 351 344 573 579 573 564 558 321 329 328 324 323 25 1 250 245 240 235 787 785 778 77 1 767 449 448 445 444 441 337 336 333 327 326 554 554 550 546 545 324 323 321 320 319 230 23 1 229 225 226 769 783 798 831 847 445 453 460 479 487 | 324 330 338 352 359 550 567 583 6 17 632 324 333 340 359 366 226 234 243 258 266 859 873 889 9 12 922 495 508 521 536 54 1 | | | 363 364 367 375 381 644 656 670 691 698 372 383 394 406 408 27 1 272 276 284 290 | | | | | | | | | __________ L_ 75 ________ __________ ___________ Sector 35. Glass and glass products: Historical dollars (Millions of dollars) G ross T o ta l G ross in v e s tm e n t Equ i p m e n t S tr u c tu re s Equ i p m e n t T o ta l Net s to c k s S tr u c tu r e s $137 150 155 376 435 465 507 560 212 252 276 304 340 164 183 188 202 219 287 34 1 385 4 10 438 632 785 934 984 1,046 385 488 596 623 663 246 297 338 360 383 857 929 1,004 1,060 1,144 47 1 513 534 557 591 1, 123 1,211 1,281 1,332 1,421 7 12 764 8 19 854 917 410 446 46 1 477 503 1,874 2 , 146 2,320 2,453 2,663 1,244 1,445 1,573 1,671 1,818 629 700 747 782 845 1,529 1,770 1,909 2,005 2 , 176 1 1 1 1 2 3 3 3 3 1 , 978 2,091 2,255 2,495 2,746 907 974 1,019 1,105 1,166 2 2 2 2 3 1,596 1,678 1 , 8 10 2 , 0 16 2,228 $166 180 186 450 515 552 60 1 664 253 298 328 362 405 196 216 223 239 258 33 58 48 30 31 746 9 11 1,076 1,144 1,227 458 570 691 733 789 90 97 104 90 122 37 46 26 28 39 1,3 1,4 1,5 1,6 1,7 28 42 38 18 36 188 327 235 200 283 143 249 181 156 211 44 78 53 43 72 303 269 307 431 425 231 192 249 332 349 72 77 58 99 75 $73 55 32 $39 37 22 1950 . . . . 1 9 5 1 .... 1952 . . . . 1 9 5 3 _____ 1 9 5 4 _____ 52 77 50 64 77 38 53 39 44 54 13 24 11 19 23 1 9 5 5 _____ 1956 . . . . 1 9 5 7 _____ 1958. . . . 1 9 5 9 _____ 99 183 184 89 106 66 125 136 59 74 1960 1961 1962 1963 1964 --------_____ _____ --------_____ 127 143 131 1 18 162 1965 1966 1967 1968 1969 --------. . . . _____ _____ _____ 1 9 7 0 _____ 1 9 7 1 .... 1 9 7 2 _____ 1 9 7 3 .... 1 9 7 4 _____ S tr u c tu r e s Equ i p m e n t $146 174 185 $176 207 222 $343 387 409 $33 17 10 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ T o ta l s to c k s ,885 ,066 ,275 ,60 1 , 9 13 $283 324 34 1 ,3 ,4 ,6 ,9 ,1 5 9 5 3 9 7 4 9 8 8 533 596 633 658 710 995 ,173 ,276 ,346 ,465 76 1 815 848 921 969 Sector 35. Glass and glass products: Constant dollars (Millions of 1972 dollars) G ross in v e s tm e n t G ross s to c k s Net s to c k s Year T o ta l 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ Equi pment $172 12 1 68 S tr u c tu r e s T o ta l Equ i p m e n t $98 86 48 $73 34 20 $1,135 1,218 1,246 79 98 70 79 95 28 44 19 35 41 S tr u c tu r e s $522 586 6 11 $ 6 13 63 1 634 1,312 1 , 4 12 1,455 1,520 1,606 666 738 779 827 888 T o ta l E quipm ent $897 970 988 $ 4 18 476 492 646 673 675 693 7 17 1,041 1, 128 1, 157 1,209 1,279 537 599 629 665 7 15 1 1 1 1 1 1950 1951 1952 1953 1954 _____ _____ _____ _____ _____ 107 143 90 115 137 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ 17 1 289 273 133 156 m 192 197 84 103 59 96 76 49 52 1,723 1, 955 2,170 2,242 2,333 963 1,117 1,273 1,314 1,371 759 837 896 927 962 1960 196 1 1962 1963 1964 _____ _____ _____ _____ _____ 183 208 183 166 224 121 13 1 139 120 16 1 61 77 43 45 62 2 2 2 2 2 ,446 ,578 ,678 ,754 ,881 1,441 1 , 5 15 1,591 1,641 1,727 1,005 1,063 1, 087 1,112 1,153 1 , 967 2,065 2,130 2,17 1 2,263 1,1 1,1 1,2 1,2 1,3 1965 1966 1967 1968 1969 _____ _____ _____ _____ _____ 251 426 294 238 325 184 3 11 218 180 235 67 1 14 75 58 90 3 3 3 3 3 ,0 ,3 ,5 ,6 ,8 1,829 2,052 2,177 2,257 2,3 8 6 1, 199 1,291 1,343 1,377 1,442 2 2 2 2 3 1 1 1 1 1 1970 197 1 1972 1973 1974 _____ _____ _____ _____ _____ 328 277 307 4 14 366 246 196 249 322 307 81 81 58 92 59 2 2 2 2 3 1 1 1 1 1 3 , 170 3,257 3,364 3,570 3 , 7 16 2 4 2 3 2 8 3 0 5 8 4 , 0 17 4 , 146 4,296 4,546 4,740 20 96 18 08 76 ,4 ,5 ,5 ,6 ,6 97 49 77 38 63 ,3 ,6 ,7 ,8 ,0 7 5 9 7 2 7 8 7 1 4 777 916 1,054 1,072 1,105 76 S tr u c tu r e s | | | | I | i | $478 494 495 504 529 528 543 563 602 676 729 754 782 49 97 48 73 35 | I | | 8 17 867 882 897 928 ,414 ,613 ,712 ,766 ,868 | | | I | 963 1,044 1, 084 1,105 1 , 156 1,973 2,022 2,116 2,276 2,412 | j | I 1 , 196 1,235 1,248 1,293 1,304 _______ ____________ J ____________ ,5 ,5 ,7 ,9 ,0 ,379 ,592 ,783 ,826 ,887 1 L. Sector 36. Stone and clay products: Historical dollars (Millions of dollars) G ross Equ i p m e n t T o ta l 1947 . . . . 1948 . . . . 1 9 4 9 _____ $303 249 210 G ross in v e s tm e n t S tr u c tu r e s Equi pment T o ta l Net s to c k s S tr u c tu r e s $197 179 153 $105 70 56 $1,144 1,364 1,544 $593 754 889 $551 6 10 655 58 87 68 73 84 1,743 2,026 2,2 5 7 2,470 2,6 9 7 1,041 1,249 1,424 1,575 1,730 70 1 777 833 894 966 T o ta l s to c k ' Equi pment S tr u c tu r e s $ 5 18 667 784 $457 5 13 554 1,509 1,757 1 , 947 2,114 2 ,2 9 1 9 12 1,090 1,229 1,341 1,454 596 6 67 7 17 772 83/ $975 1, 180 1,338 1950 . . . . 1 9 5 1 .... 1 9 5 2 .... 19 5 3 . . . . 1 9 5 4 _____ 23 1 320 275 266 291 173 233 207 193 206 1955 1956 1957 1958 1959 506 699 644 406 452 36 1 463 432 293 330 145 236 211 1 13 122 3 , 128 3,741 4,289 4,587 4,919 2 2 2 2 3 ,029 ,419 ,768 ,966 , 188 1 1 1 1 1 ,099 ,322 ,521 ,621 ,731 2 3 3 3 4 ,6 ,2 ,7 ,9 ,1 7 2 0 1 5 0 3 0 4 5 1,709 2,049 2,340 2,47 1 2,6 2 1 96 1 1,174 1,359 1,443 1,533 I960 . . . . 1 9 6 1 .... 1962. . . . 1 9 6 3 .... 1 9 6 4 --------- 42 1 4 17 426 496 473 305 325 320 366 383 115 92 106 130 90 5 5 5 5 6 ,203 ,46 1 ,704 ,991 ,232 3 3 3 3 4 ,3 ,5 ,7 ,8 ,0 7 5 0 7 4 1,833 1,911 2,002 2,116 2 , 188 4 4 4 4 4 ,3 ,4 ,6 ,8 ,9 3 9 3 3 8 9 5 9 2 4 2,724 2,827 2,905 3 , 0 12 3 , 122 1 , 6 14 1 668 1,733 1,820 1,862 1965 1966 1967 1968 1969 595 623 600 549 637 456 49 1 457 432 506 139 131 143 1 16 131 6 6 7 7 7 ,5 ,9 ,2 ,5 ,8 6 2 0 0 9 4 4 4 4 5 ,2 ,5 ,7 ,8 ,0 68 15 14 74 93 2 2 2 2 2 08 17 36 25 26 5 5 5 5 6 ,243 ,511 ,738 ,894 , 120 3 3 3 3 3 ,2 ,4 ,6 ,7 ,8 9 8 3 3 9 3 6 0 5 9 1,949 2,0 2 5 2,107 2 , 159 2,220 49 1 536 724 798 938 137 132 165 163 220 8,1 0 9 8 , 4 16 8,922 9,480 10,215 5 5 5 6 6 ,2 ,4 ,8 ,3 ,8 8 9 8 2 9 2,829 2,922 3,042 3 , 155 3,319 6 6 6 7 8 ,3 ,5 ,9 ,4 ,0 4 4 4 4 5 ,0 ,1 ,5 ,9 ,4 3 9 3 2 3 3 7 4 6 8 2 2 2 2 2 . . . . . . . . . . . . . . . --------- . . . . . . . . . . . . . . . . _____ 1 9 7 0 .... 1 9 7 1 .... 1972. . . . 1 9 7 3 .... 1 9 7 4 _____ 629 669 890 96 1 1,159 7 3 5 0 1 0 0 2 5 4 0 4 0 4 6 ,3 ,4 ,5 ,6 ,7 1 3 5 1 5 7 3 0 6 4 1 , , , , , 2 3 4 4 6 8 3 1 8 1 3 5 6 9 6 Sector 36. Stone and clay products: Constant dollars (Millions of 1972 dollars) G ross in v e s tm e n t G ross s to c k s Net s to c k s Year T o ta l 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ 1 9 5 0 _____ 1 9 5 1 _____ 1 9 5 2 --------1 9 5 3 _____ 1 9 5 4 .... $682 512 421 46 1 570 478 458 497 Equ i p m e n t $448 372 307 S tr u c tu re s $233 140 114 T o ta l Equ i p m e n t $3,599 3,999 4,306 339 408 357 327 344 121 16 1 121 13 1 153 4 5 5 5 6 ,6 ,0 ,4 ,7 ,0 6,6 7,5 8,2 8,5 8 ,8 $1,582 1,897 2 , 145 2 5 1 3 4 S tr u c tu r e s $2,017 2 , 102 2 , 16 1 $1,574 1,654 1,707 0 3 8 3 4 2 2 2 2 2 ,2 ,3 ,3 ,4 ,5 2 3 9 7 7 7 3 9 4 1 3,828 4,196 4,447 4,653 4,877 2 2 2 2 2 5 0 0 2 9 2 9 2 7 1 3 4 4 5 5 ,873 ,394 ,807 ,004 ,2 2 0 2 3 3 3 3 ,7 ,1 ,3 ,5 ,6 7 1 9 2 7 8 5 4 3 0 5 6 6 6 7 ,427 , 189 ,770 ,971 ,202 3,164 3,605 3,930 4,029 4 , 143 2 2 2 2 3 ,2 ,5 ,8 ,9 ,0 6 8 4 4 5 3 3 0 2 9 3 3 4 4 4 ,8 ,8 ,0 ,1 ,2 05 99 11 58 34 7 7 7 7 7 ,3 ,4 ,5 ,7 ,8 5 6 5 2 2 2 0 6 3 2 4 4 4 4 4 , , , , , 1 2 2 3 3 9 4 6 2 9 2 3 6 8 5 3 3 3 3 3 ,1 ,2 ,2 ,3 ,4 6 1 9 9 2 0 7 0 4 6 7 9 2 9 7 8 8 8 8 8 , , , , , 6 0 6 2 3 5 2 7 5 8 4 4 4 4 4 ,5 ,7 ,7 ,8 ,9 4 0 9 3 2 0 6 8 2 3 3 3 3 3 3 ,5 ,5 ,6 ,6 ,7 24 95 69 93 14 8 ,688 8,731 8,965 9,227 9,543 4 5 5 5 5 ,9 ,0 ,2 ,5 ,8 6 1 4 2 3 3 9 5 0 0 3 3 3 3 3 ,7 ,7 ,7 ,7 ,7 24 11 19 07 13 582 690 60 1 40 1 4 40 263 393 335 185 203 196 196 196 196 196 0 1 2 3 4 _____ _____ --------_____ _____ 594 580 595 685 634 402 427 42 1 475 491 192 153 173 2 10 142 9 , 179 9,421 9,642 9 , 9 19 10,116 5 5 5 5 5 ,3 ,5 ,6 ,7 ,8 7 2 3 6 8 1965 1966 1967 1968 1969 _____ _____ _____ --------_____ 79 1 800 745 654 724 577 607 544 496 562 214 193 20 1 157 162 10,449 10,775 11,033 11,184 11,388 6 6 6 6 6 ,0 ,2 ,4 ,4 ,6 69 76 10 85 13 4 4 4 4 4 ,3 ,4 ,6 ,6 ,7 1970 197 1 1972 1973 1974 _____ _____ _____ _____ _____ 522 547 724 783 830 156 139 165 151 172 1 1 1 1 1 6 6 7 7 7 ,6 ,7 ,0 ,3 ,6 8 7 2 2 6 4 4 4 4 5 ,837 ,875 ,9 3 1 ,966 ,013 $1,345 1,632 1,839 ,4 ,7 ,0 ,2 ,4 846 1, 0 8 3 936 586 644 ,5 ,6 ,9 ,2 ,6 $2,919 3,2 8 6 3,546 S tr u c tu r e s 2 2 3 3 3 --------_____ _____ _____ _____ 1 1 1 2 2 Equ i p m e n t 48 87 18 07 15 1955 1956 1957 1958 1959 679 686 890 934 1,003 T o ta l 26 49 55 88 75 3 1 0 1 1 8 3 3 2 1 9 8 3 9 4 0 3 4 5 6 ,0 ,3 ,5 ,6 ,8 61 32 26 68 07 _______ _________ 77 1,766 1,864 1,920 1, 985 2,070 Sector 37. Primary iron and steel manufacturing: Historical dollars (Millions of dollars) — G ross --------------------------- 1 T o ta l | G ross in v e s tm e n t E qu ip m e nt S tr u c tu re s $238 272 17 1 E qu ip m e nt T o ta l $6,501 6,902 7,028 « s to c k s $2,546 2,867 3,020 I I S tr u c tu r e s I I I $3,955 4,034 4,007 1947 . . . . 1948 . . . . 1 9 4 9 _____ $581 805 528 I | I $343 532 357 1950 . . . . 1951 . . . . 1 9 5 2 .... 1 9 5 3 .... 1 9 5 4 _____ 535 1,218 1,385 1,101 813 | I I I I 370 765 934 7 14 548 164 452 450 386 264 7 , 164 7,988 8,986 9,7 0 6 10,143 3 3 4 5 5 ,1 ,7 ,5 ,0 ,4 9 7 2 6 3 4 0 3 1 6 I I I | I 3 4 4 4 4 ,9 ,2 ,4 ,6 ,7 7 1 6 4 0 0 8 3 4 7 19 5 5 . . . . 1956 . . . . 1957 . . . . 1958. . . . 1 9 5 9 _____ 770 1,325 1,744 1,125 828 j I | | I 532 900 1,111 698 573 237 425 633 426 254 1 1 1 1 1 5 6 7 7 8 ,7 ,5 ,4 ,9 ,3 9 2 4 4 0 6 1 7 6 0 I I I I j 4 4 5 5 5 ,7 ,9 ,4 ,6 ,7 4 7 2 7 6 6 8 5 5 2 I 9 6 0 . . . . 1 9 6 1 .... 1 9 6 2 .... 1 9 6 3 .... 1 9 6 4 _____ 1,380 998 9 18 1,137 1,587 | I I | | 957 700 702 820 1,223 422 298 2 15 3 17 364 15,037 15,603 16,055 16,686 17,724 9,008 9,422 9,796 10,239 11,034 1 9 6 5 .... 1966 . . . . 1967 . . . . 1968. . . . 1 9 6 9 --------- 1,764 2,111 2 ,344 2,328 2,0 7 2 | | | | j 1,337 1,653 1,854 1,851 1,602 426 457 490 477 470 18,888 20,350 22,000 23,591 24,883 1 1,889 13,007 14,280 15,508 16,447 1970 . . . . 1 9 7 1 .... 1 9 7 2 .... 1 9 7 3 .... 1 9 7 4 _____ 1,900 1,549 1,417 1,649 2,5 1 1 | I j i | 1,500 1 , 2 18 1 , 157 1,364 2,077 399 330 259 284 434 2 2 2 2 2 1 1 1 1 1 0,5 1,4 2,8 3,6 4,0 5 6 7 7 9 ,9 ,6 ,1 ,8 ,2 4 9 7 2 6 I 3 9 3 2 3 62 43 41 16 92 I |* | I I I 7,250 7,732 8,116 8,666 9,884 T o ta l $4,235 4,681 4,851 j s to c k s S tr u c tu r e s Equ i p m e n t $2,496 2,590 2,585 $ 1,739 2,090 2,265 I I I j 31 97 21 4 5 6 4 I I I I | 2 3 3 4 4 ,4 ,0 ,7 ,2 ,5 54 38 79 82 99 2 2 3 3 3 ,576 ,859 ,142 ,363 ,465 8,4 2 4 9,319 10,598 11,214 11,493 | | I | I 4 5 6 6 6 ,879 ,502 ,300 ,641 , 8 16 3 3 4 4 4 ,5 ,8 ,2 ,5 ,6 6,028 6 , 180 6,259 6,447 6,689 1 1 1 1 1 85 44 77 85 97 | | | I | 7 7 7 7 8 ,3 ,5 ,7 ,9 ,5 5 9 1 0 2 4 5 5 5 5 ,949 ,094 , 155 ,314 ,514 6 7 7 8 8 15,033 16,265 17,672 19,001 20,0 09 I I | I | 1 1 1 1 9,264 0,220 1,330 2,387 3,144 5 6 6 6 6 ,7 ,0 ,3 ,6 ,8 2 2 2 2 2 | | | I | 13,749 14,019 1 4 , 180 14,497 15,472 7 7 7 7 7 ,031 ,115 ,113 , 125 ,2 7 3 , , , , , 9 3 7 0 4 5 5 6 7 8 99 42 19 8 2 3 5 8 , 7 12 8,911 9,025 9,150 9,408 I I Net I I ,0 ,8 ,9 ,6 ,0 2 2 2 3 4 0 1 1 1 2 ,2 ,6 ,8 ,2 ,0 ,7 ,1 ,2 ,6 ,7 8 3 9 2 4 0 4 4 2 6 3 4 2 7 8 45 16 98 73 77 6 4 4 1 6 9 4 2 3 5 _________ L ____________ L Sector 37. Primary iron and steel manufacturing: Constant dollars (Millions of 1972 dollars) 1 r G ross in v e s tm e n t G ross Year T o ta l Equi pment S tr u c tu re s 1947 . . . . 1 9 4 8 _____ 1 9 4 9 _____ $ 1,345 1,701 1,093 $ 8 17 1, 157 743 _____ _____ _____ _____ _____ 1, 08 3 2,204 2,444 1,922 1,410 740 1,367 1,639 1,232 928 343 837 804 690 48 1 1 9 5 5 _____ 1 9 5 6 _____ 1 9 5 7 _____ 1 9 5 8 _____ 1 9 5 9 _____ 1,304 2,051 2,569 1,656 1,199 872 1,343 1,565 957 775 43 1 708 1,004 699 424 1 9 6 0 _____ 1 9 6 1 _____ 1 9 6 2 _____ 1 9 6 3 _____ 1 9 6 4 _____ 1,964 1,418 1,277 1,576 2 , 146 1,260 921 924 1,064 1,568 1965 1966 1967 1968 1969 2 2 2 2 2 1950 1951 1952 1953 1954 _____ _____ _____ _____ _____ 1 9 7 0 _____ 1 9 7 1 _____ 1 9 7 2 _____ 1 9 7 3 _____ 1 9 7 4 _____ _______ ,348 , 7 13 ,897 ,772 ,367 2,051 1,591 1 , 4 17 1,588 2,177 $528 544 350 To ta l E qu ip m e nt $25,424 25,476 24,942 $7,660 8 ,129 8 ,208 24,423 25,055 25,963 26,387 26,341 8 , 3 10 9,068 10,128 10,806 11,206 2 2 2 2 2 6 6 8 8 8 ,231 ,905 ,130 ,470 ,374 704 496 353 511 578 2 2 2 2 3 9 9 9 9 0 , , , , , 1,692 2,0 4 1 2,207 2 , 128 1,780 656 672 690 644 587 31,1 32,4 33,8 35,2 36,1 1,596 1,243 1 , 157 1,325 1,838 454 348 259 263 339 3 3 3 3 3 6 6 6 6 7 | | | | Net S tr u c tu r e s $17,763 17,347 16,733 $ 15,925 16,233 15,963 Equi pment S tr u c tu r e s $5,055 5,642 5,827 $10,870 10,591 10,136 15,723 16,644 17,826 18,497 18,666 11,571 12,417 13,487 13,940 14,191 14,660 14,487 14,642 14,529 14, 183 18,739 19,564 20,892 2 1,275 21,177 1 1 1 1 9,322 0,054 0,962 1,206 1,216 9 , 4 17 9,510 9,929 10,069 9,96 1 14,890 15,198 15,448 15,771 16,525 14, 162 13,981 13,703 13,627 13,660 2 2 2 2 2 1 1 1 1 1 1 1 1 1 2 10,158 1 0, 169 10,055 10,116 10,254 43 35 90 05 04 17,331 18,421 19,6^4 20,705 21,407 13,811 14,014 14,266 14,499 14,697 23,474 24,667 26,004 2 7 , 172 27,887 12,996 13,948 15,029 15,992 16,567 7 7 6 0 8 21,901 14,775 14,753 14,640 14,519 14,460 2 2 2 2 2 16,924 16,891 16,740 16,722 1 7 , 180 6 2 8 4 5 2 2 2 2 78 2 2 2 2 , , , , 018 028 184 824 | | 1 1 1 1 1 T o ta l s to c k s 6,112 5,987 5,835 5,581 5,135 052 180 152 399 185 ,6 ,7 ,6 ,7 ,2 " s to c k s 1 1 1 1 2 8 8 7 7 7 ,8 ,8 ,7 ,9 ,6 19 76 60 16 11 ,239 ,084 ,711 ,464 ,758 6 6 7 8 9 ,0 ,8 ,9 ,6 ,0 ,6 ,7 ,7 ,7 ,3 2 6 7 6 3 6 7 8 5 2 9 9 9 9 9 60 06 05 99 56 | | | | | ,6 ,7 ,8 ,8 ,6 10,4 10,7 10,9 11,1 11,3 9 7 4 3 3 6 7 8 1 3 77 18 74 79 19 11,315 11,192 10,970 10,741 10,578 Sector 38. Primary nonferrous metals manufacturing: Historical dollars (Millions of dollars) -------------------------------------------------------------------------------G ross -■ G ross in v e s tm e n t Net s to c k s stock* — — S tr u c tu re s Equ i p m e n t T o ta l E qu ip m e nt T o ta l r I S tr u c tu r e s Equ i p m e n t T o ta l S tr u c tu r e s — 1947 . . . . 1948 . . . . 1 9 4 9 _____ 1 1 1 1 9 9 9 9 5 5 5 5 0 1 2 3 . . . . . . . . . . . . . . . . 1 9 5 4 _____ 1955 . . . . 19 5 6 . 1957 19 5 8 1 9 5 9 --------196 0 196 1 19 6 2 196 3 1 9 6 4 _____ 196 5 1 96 6 1967 1968 196911.. 1972 1974. . 1. $9 1 159 117 $37 51 37 $696 896 1,037 $400 551 659 136 265 418 334 221 10 1 182 24 1 2 16 164 34 82 177 1 18 57 1,158 1,406 1,805 2,115 2,307 749 918 1,143 1,339 1,478 264 42 1 538 452 291 192 3 13 423 285 216 71 107 159 166 75 2 2 3 3 4 ,536 ,914 ,4 5 0 ,842 ,064 1,639 1,914 2,296 2,527 2,680 I | | I | 266 263 28 1 349 366 204 197 220 27 1 292 6 1 66 60 77 74 4 4 4 4 5 ,2 ,4 ,5 ,8 ,0 48 16 86 08 28 2 2 3 3 3 ,809 ,920 ,039 ,193 ,3 5 1 | I 555 740 897 863 825 436 582 672 65 1 653 1 19 157 225 21 1 172 5 5 6 7 7 ,4 ,9 ,6 ,3 ,9 1 7 7 1 0 3 4 4 4 5 ,636 ,051 ,5 4 1 ,996 ,439 696 550 63 1 600 993 217 160 166 155 342 5 6 6 6 7 ,9 ,2 ,5 ,9 ,6 9 13 7 11 798 756 1,336 9 5 1 6 6 8,567 9,007 9,513 9,958 10,961 11 22 98 29 36 $ 6 12 798 92 1 $350 491 584 $26 1 306 336 1,021 1,245 1 , 6 13 1,886 2,034 658 807 1,008 1,174 1,279 363 437 6 05 7 11 755 896 999 1,153 1,314 1,383 2 2 3 3 3 ,2 ,5 ,0 ,3 ,4 1,403 1 6 1,972 2 , 149 2,2 4 1 811 902 1, 043 1, 188 1,239 1,438 1,496 1,547 1 , 6 14 1,677 3 3 3 3 4 ,581 ,663 ,745 ,878 , 0 13 2 2 2 2 2 7 2 5 6 3 1,274 1,311 1,339 1,382 1,419 1,782 1,923 2 , 130 2,319 2,467 4 4 5 5 6 ,3 ,7 ,4 ,9 ,4 2 9 0 5 5 0 4 6 9 0 2,823 3 , 184 3,619 4 , 0 14 4,392 1,497 1,610 1,786 1 , 944 2,057 2,656 2,784 2 , 9 15 3,028 3,325 7 7 7 8 8 ,0 ,3 ,7 ,0 ,8 0 2 1 2 8 4 6 0 2 5 4 5 5 5 6 2 2 2 2 2 $296 344 377 $ 128 2 11 154 I | 408 487 66 1 775 829 I I | I | j I | I | I _L 14 39 16 37 80 7 5/ ,3 ,3 ,4 ,4 ,5 ,7 ,0 ,3 ,5 ,1 0 5 0 9 9 9 2 1 5 5 3 4 5 0 3 ,2 ,3 ,3 ,4 ,7 1 0 9 7 3 0 2 5 1 1 1 Sector 38. Primary nonferrous metals manufacturing: Constant dollars (Millions of 1972 dollars ) — G ross in v e s tm e n t G ross s to c k s Net s to c k s Year T o ta l 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ Equ i p m e n t S tr u c tu r e s T o ta l Equ i p m e n t S tr u c tu r e s $305 456 323 $223 354 248 $8 1 102 75 $2,176 2,594 2,874 $1,080 1,411 1,632 $1,095 1, 182 1,242 T o ta l Equi pment $1,875 2,256 2,490 S tr u c tu r e s $934 1,237 1,422 $940 1,018 1,067 1,555 1,802 2,132 2,393 2,535 1,110 1,234 1,517 1,692 1,754 1950 1951 1952 19 5 3 1954 _____ _____ _____ . . . . _____ 278 485 746 58 9 382 207 332 431 378 278 7 1 153 315 2 11 103 3,104 3,535 4,220 4,738 5,036 1,806 2,099 2,484 2,806 3 , 0 16 1,297 1,435 1,735 1,931 2,019 2 3 3 4 4 ,6 ,0 ,6 ,0 ,2 6 3 5 8 8 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ 451 647 856 664 4 17 321 467 603 39 1 292 129 179 253 272 125 5 5 6 7 7 ,3 ,9 ,6 ,1 ,3 8 1 3 4 9 6 5 6 7 3 3,255 3,625 4,114 4,376 4,521 2 2 2 2 2 ,1 ,2 ,5 ,7 ,8 3 1 90 22 7 1 7 1 4 4 5 5 6 ,5 ,9 ,5 ,9 ,0 42 70 82 72 90 2 2 3 3 3 ,7 ,9 ,4 ,5 ,6 03 99 11 86 42 1,839 1,970 2,17 1 2,386 2,448 1960 196 1 1962 1963 1964 _____ _____ _____ _____ _____ 37 1 369 388 477 492 268 259 289 352 374 102 110 99 124 1 18 7 7 7 8 8 ,5 ,7 ,8 ,0 ,2 7 2 6 7 7 0 3 9 7 3 4 4 4 4 5 , , , , , 6 7 7 9 0 2 0 8 0 2 5 0 2 4 5 2 3 3 3 3 ,9 ,0 ,0 ,1 ,2 4 2 8 7 4 6 6 6 6 6 ,138 ,161 , 183 ,273 ,359 3 3 3 3 3 ,6 ,6 ,6 ,6 ,7 55 42 41 88 43 2 2 2 2 2 ,4 ,5 ,5 ,5 ,6 1965 1966 1967 1968 1969 _____ _____ _____ _____ _____ 735 950 1,117 1,034 938 552 7 19 800 749 725 182 231 317 285 212 8,683 9,284 10,030 10,672 11,200 5 5 6 6 7 ,3 ,7 ,2 ,6 ,0 0 2 1 3 1 1 4 1 3 9 3 3 3 4 4 ,382 ,560 , 8 18 ,039 ,1 8 1 3,964 4,340 4,783 5 , 158 5,494 2 2 3 3 3 ,707 ,840 ,054 ,2 3 0 ,325 1970 197 1 1972 1973 1974 _____ _____ _____ _____ _____ 980 730 798 727 1,155 733 56 1 63 1 583 887 246 169 166 143 268 1 1 1 1 1 7 7 7 8 8 ,40 1 ,600 ,857 ,056 ,547 4 4 4 4 4 ,3 ,4 ,5 ,5 ,7 5,821 5,957 6 , 147 6,270 6,676 3 3 3 3 3 ,4 ,4 ,5 ,5 ,6 _______ 1 2 2 2 3 ,7 ,0 ,3 ,6 ,2 53 38 73 19 75 _______ 79 4 3 7 2 7 51 38 15 63 28 _________ 6 6 0 5 9 6,67 1 7,181 7,837 8 ,388 8,820 9,2 9,4 9,6 9,7 10,3 7 4 7 9 3 1 8 1 8 0 8 1 4 8 5 9 2 2 5 2 9 1 4 15 0 0 3 8 3 Sector 39. Metal containers: Historical dollars (Millions of dollars) — G ross E quipm ent T o ta l G ross in v e s tm e n t I S tr u c tu re s E qu ip m e nt T o ta l Net s to c k s 1 j S tr u c tu r e s T o ta l s to c k s Equi p ne nt S tr u c tu r e s -------------------------------------p $94 114 136 $122 145 170 $74 94 115 84 92 93 99 104 204 238 259 283 326 142 167 186 205 243 111 1 15 123 140 151 365 399 433 472 506 275 305 33 1 353 377 90 94 102 119 129 I I I I | 162 168 178 184 191 552 575 608 646 687 412 430 455 488 525 140 144 152 157 162 I I I I | 198 2 16 228 247 270 732 798 864 947 1,040 565 6 16 673 740 8 14 167 18 1 191 207 226 1, 136 1,211 1,288 1,366 1,490 896 970 1,042 I I 287 292 30 1 307 320 239 24 1 246 248 257 $25 31 34 $19 25 27 | I | $5 6 6 $164 187 2 13 1950 . . . . 1951 . . . . 1 9 5 2 .... 19 5 3 . . . . 1 9 5 4 _____ 44 44 32 37 57 33 32 28 28 48 | I | 1 1 11 4 9 8 249 285 310 338 386 165 193 216 238 28 1 1 9 5 5 .... 1956 . . . . 1957 . . . . 1958 . . . . 1 9 5 9 _____ 55 52 54 6 1 58 | I | I 10 7 11 20 13 431 472 5 14 563 607 3 19 356 39 1 422 456 | 44 43 40 44 I 9 6 0 . . . . 1 9 6 1 .... 1 9 6 2 _____ 1 9 6 3 .... 1 9 6 4 _____ 74 52 66 73 80 59 44 54 64 70 | | 14 8 12 9 9 665 700 747 798 853 502 532 569 6 13 66 1 _____ . . . . . . . . . . . . _____ 87 111 1 14 134 149 76 9 1 100 1 12 123 | I | I | 10 19 14 22 26 9 11 99 1 1,071 1,169 1,278 7 12 775 843 922 1,008 1 9 7 0 _____ 1 9 7 1 .... 1 9 7 2 _____ 1973. . . . 1 9 7 4 _____ 156 140 147 153 204 135 13 1 133 143 186 I I I | 20 9 13 10 18 1,391 1,486 1,584 1,686 1,835 1,104 1,194 1,283 1,379 1,515 1965 1966 1967 1968 1969 I | I I I | I I ________________ _____________________ _____________________ I___ $48 51 54 $70 73 76 1947 . . . . 1 9 4 8 _____ 1 9 4 9 _____ 1,118 1,232 62 7 1 72 78 83 L. Sector 39. Metal containers: Constant dollars Gross in v e s tm e n t G ross s to c k s Net Year s to c k s I T o ta l Equi pment S tr u c tu re s T o ta l Equi p m e n t S tr u c tu r e s T o ta l Equ i p m e n t S tr u c tu r e s 1 9 4 7 _____ 19 4 8 . . . . 1949.. . . $64 73 76 $53 6 1 62 $ 11 12 13 $591 633 678 | | | $28 1 325 372 1 9 5 0 _____ 1 9 5 1 .... 1 9 5 2 .... 1953. . . . 19 5 4 . . . . 94 84 6 0 6 7 103 7 1 62 52 51 88 22 21 7 15 15 742 797 827 863 935 | | | | | 429 476 5 14 549 620 313 320 312 313 314 569 6 19 644 674 738 358 400 430 456 518 210 219 213 217 220 1 9 5 5 _____ 1 9 5 6 _____ 1957 . . . . 1 9 5 8 ______ 1959. . . . 95 8 1 8 1 9 1 85 77 69 63 57 62 18 12 17 33 22 996 1,042 1,087 1,139 1,184 | | | | | 678 727 767 800 836 317 315 319 339 348 79 1 827 860 899 930 565 600 627 644 664 226 226 232 255 266 1 9 6 0 _____ 1 9 6 1 _____ 1 9 6 2 _____ 1 9 6 3 .... 1 9 6 4 _____ 105 7 3 92 99 107 8 1 59 71 84 93 24 14 20 14 14 1 1 1 1 1 ,2 ,2 ,3 ,3 ,4 47 74 16 62 11 | | | | | 887 9 12 946 987 1,032 360 362 370 374 378 977 988 1,015 1,045 1,081 697 706 723 750 783 279 282 29 1 295 298 1 9 6 5 _____ 1 9 6 6 .... 1967 . . . . 1968. . . . 1 9 6 9 _____ 113 142 140 159 169 98 113 1 19 129 137 15 29 21 30 32 1 1 1 1 1 ,462 ,539 ,610 ,697 ,793 | | | | | 1,079 1, 136 1,195 1,262 1,335 383 403 414 435 458 1,120 1, 185 1,245 1,321 1,405 8 18 865 915 974 1,038 302 320 329 347 366 1 9 7 0 _____ 1 9 7 1 _____ 1972. . . . 1 9 7 3 _____ 1 9 7 4 _____ 166 143 147 148 179 143 133 133 139 165 23 9 13 9 14 1,883 1,949 2,017 2,085 2,180 | | | | | 1,411 1,477 1,541 1,609 1,702 472 472 475 475 478 1 1 1 1 1 1,105 1,159 1,211 1,263 1,337 376 37 1 370 365 364 _____________________ ________________ I____ 80 $310 307 305 _____________________ $418 462 507 ,481 ,531 ,58 1 ,629 ,702 $215 260 306 $202 20 1 20 1 Sector 40. Heating and plumbing apparatus, fabricated metal products: Historical dollars G ross Equ i p m e n t T o ta l $112 1947 1948 1949 $67 41 46 ______________ 62 ______________ 69 ______________ G ross in v e s tm e n t S tr u c tu r e s 21 22 $220 $194 229 269 $414 465 523 $44 84 107 ______________ 1 14 ______________ 144 ______________ 136 ------------------------ 51 62 78 94 87 32 44 36 50 48 595 690 790 9 18 1,035 315 370 440 523 598 1955 1 9 5 6 --------1 9 5 7 _____ 1958 1959 164 -----------------------198 170 162 -----------------------154 ------------------------ 110 112 102 94 70 676 767 858 935 105 57 59 48 1, 179 1,352 1,496 1,628 1,747 1,012 502 585 637 692 734 1,028 , 180 1,299 1,402 1,490 99 87 4 1 38 46 45 51 1,847 1,927 2,024 2,118 2,226 1,076 1 , 123 1,179 1,234 1,298 77 1 804 844 883 928 1,5 1,6 1,6 1,7 1,7 142 153 193 7 1 7 1 104 87 108 2,3 2,5 2,7 2,9 3,1 1 1 1 1 87 87 16 163 152 3 3 3 4 4 1 9 6 0 _____ 1 9 6 1 _____ 1962 1963 1964 140 125 149 -----------------------152 -----------------------173 ------------------------ 1965 1 9 6 6 --------1 9 6 7 --------1968 1969 214 -----------------------225 297 288 ______________ 306 ------------------------ 1 9 7 0 --------1 9 7 1 --------1972 1973 1974 102 107 122 200 198 226 314 299 370 -----------------------542 ______________ 486 ______________ 211 253 379 333 1 6 1 2 2 3 8 4 7 3 2 ,3 ,4 ,5 ,6 75 58 76 97 10 1,8 1,94 2,06 2,21 2,48 2,70 ,341 ,528 ,777 , 190 ,539 1 211 276 323 383 455 516 237 275 304 346 386 579 654 725 781 835 448 526 573 620 655 682 705 734 76 1 792 58 03 65 24 98 875 898 931 963 1,006 1,906 842 889 967 1,026 1 , 156 1,206 1,284 1,405 1,512 1 1 1 1 992 ,055 , 150 ,226 ,322 2,0 1 8 2,195 2,355 2,525 1,063 , 128 1,227 1,329 1,422 1 1 1 1 1 ,395 ,465 ,562 ,704 ,832 2,6 2,8 3,0 3,4 3,7 1,537 1,630 1,757 1 2,188 6 2 4 6 6 $180 195 20 514 599 687 80 1 903 1 9 5 0 _____ 1951 1952 1953 1954 S tr u c tu r e s $169 1 237 $350 396 449 235 253 280 319 349 394 437 88 stocks Equ i p m e n t T o ta l S tr u c tu r e s Equi pment T o ta l Met s to c k s 9 3 4 0 0 1 3 7 1 7 1 2,00 1,102 Sector 40. Heating and plumbing apparatus, fabricated metal products: Constant dollars (Millions of 1972 dollars) — G ross Year in v e s tm e n t G ross ___________________________________________________________ T o ta l Equi pment S tr u c tu r e s 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ $251 128 139 $ 15 1 87 93 1 9 5 0 _____ 1 9 5 1 --------1 9 5 2 _____ 1 9 5 3 _____ 1 9 5 4 _____ 167 189 194 245 229 99 107 130 156 14 1 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ 277 303 243 234 219 148 157 152 137 139 128 146 9 1 97 79 1960 196 1 1962 1963 1964 _____ _____ _____ _____ _____ 196 173 206 208 234 126 10 130 136 153 1965 1966 1967 1968 1969 _____ _____ _____ _____ _____ 285 290 37 1 343 349 175 185 224 225 16 335 306 370 523 420 1 9 7 0 _____ 1 9 7 1 _____ 1 9 7 2 _____ 1 9 7 3 _____ 1 9 7 4 _____ _______ $99 4 1 46 68 81 s to c k s Net __________________________ T o ta l Equ i p m e n t $1,252 1,339 1,436 S tr u c tu r e s $475 545 621 T o ta l s to c k s Equ i p m e n t S tr u c tu r e s $777 793 14 $1,000 1,080 1,168 | | | $407 470 536 $593 609 63 1 605 677 765 873 958 674 73 1 770 833 894 8 1,56 1 1,708 1,856 2,0 5 1 2,225 703 792 90 1 1,031 1,140 858 915 955 , 020 1, 084 1,279 1,408 1,535 1,706 1,853 | | | | | 2,441 2,679 2,852 3,011 3 , 149 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 ,0 ,2 ,3 ,4 ,5 4 4 7 9 8 0 5 9 6 8 | | | | j 1, 044 1,13 1 1,205 1,257 1,302 995 1,113 1,174 1,239 1,285 69 63 75 72 1 3 3 3 3 3 ,255 ,3 3 0 ,428 ,519 ,628 1,691 1,724 1,768 1,809 1,860 1,563 1,605 1,659 1,709 1,768 2 2 2 2 2 ,6 ,6 ,7 ,7 ,8 4 7 2 7 4 6 4 6 4 0 | | j | | 1,327 1,329 1,345 1,36 1 1,391 1,319 1,345 1,38 1 1 , 4 12 1,449 2 104 146 18 133 3 3 4 4 4 ,7 ,9 ,1 ,3 ,5 79 27 50 37 23 1,925 1, 995 2,098 2,198 2,284 1,853 1,932 2,0 5 1 2,139 2,239 2 3 3 3 3 ,9 5 1 ,059 ,242 ,390 ,535 | | | | I 1» 4 3 8 1,492 1,582 1,669 1,741 1 1 1 1 1 236 214 253 37 1 300 99 92 16 151 1 19 4 4 5 5 5 ,6 ,8 ,0 ,3 ,5 8 1 0 3 4 2 2 2 2 2 2 2 2 2 2 3 3 3 4 4 ,6 ,7 ,8 ,1 ,3 | I I | | 1,829 1,890 1, 984 2,1 9 1 2 , 3 17 1,828 1,853 1,898 1, 976 2,018 1 64 89 88 8 110 1 1 8 7 1 0 8 81 ,252 ,366 ,470 ,554 ,633 ,386 ,462 ,575 ,80 1 ,951 1 , 189 ,312 ,38 1 ,457 ,515 ,3 ,3 ,4 ,5 ,5 02 54 26 29 96 _________ 58 43 83 67 36 ,512 ,567 ,660 ,721 ,793 Sector 41. Screw machine products: Historical dollars (Millions of dollars) G ross G ross in v e s tm e n t s to c k s N et s to c k s Year r T o ta l S tr u c tu r e s Equi pment T o ta l Equi pment S tr u c tu r e s T o ta l Equ i p m e n t S tr u c tu r e s | I $94 82 70 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ 11 1 115 120 $67 60 50 $27 76 85 82 35 30 38 31 $497 569 627 21 19 $323 376 418 $174 192 208 $429 492 541 $282 328 362 $146 163 178 485 560 630 7 17 798 240 266 300 327 344 628 7 15 803 900 978 419 482 538 10 673 208 233 265 290 304 | | I 884 1,004 1,140 , 186 1,253 382 424 459 493 520 1,079 18 1,361 1 , 4 12 1,473 740 841 954 976 1,017 338 377 407 435 456 544 56 1 587 15 672 1,516 1,521 1,561 1,608 1,743 1,043 1,038 1,061 , 088 1, 177 473 482 499 5 19 565 733 783 821 850 924 1,907 2,064 2 , 177 2,252 2,477 1 1 1 1 1 968 995 2 2 2 2 3 1,787 1,824 1,939 , 122 2,359 | I I 98 20 725 827 931 1,045 1,143 148 192 203 1 17 134 106 145 164 78 104 4 1 46 38 38 30 1 1 1 1 1 _____ _____ _____ _____ --------- 123 91 132 145 239 101 11 1 94 69 21 1,888 30 33 62 1,960 2,039 2,205 | I | | I 1 1 1 1 1 1965 1966 1967 1968 1969 _____ _____ _____ _____ _____ 275 275 239 208 364 207 217 192 170 278 2 2 2 2 3 ,4 ,5 ,7 ,8 ,1 0 8 3 4 0 0 9 5 3 0 | | I I | 1,667 1,805 1,913 1,993 2 , 176 1970 197 1 1972 1973 1974 _____ _____ _____ _____ _____ 252 207 292 394 513 195 166 249 325 388 3 3 3 3 4 ,2 ,3 ,4 ,7 ,1 3 2 9 5 2 8 5 0 1 4 | | | | I 2 2 2 2 2 1950 1951 1952 1953 1954 --------_____ _____ _____ --------- 1955 1956 1957 1958 1959 _____ _____ --------_____ _____ 1960 196 1 1962 1963 1964 102 133 119 68 57 47 38 85 56 41 42 68 124 66 29 99 80 73 1,849 28 177 ,2 ,4 ,5 ,6 ,7 | | | I | | 1 ,305 ,326 ,373 ,423 ,533 ,2 ,3 ,4 ,6 ,9 70 30 68 78 46 1,2 6 1,021 1,073 1, 178 ,579 ,630 ,759 ,981 , 3 11 6 1 61 6 ,290 ,408 ,495 ,554 , 7 16 655 682 698 760 791 806 820 859 952 2 Sector 41. Screw machine products: Constant dollars (Millions of 1972 dollars) Gross i n v e s t m e rfc G ross Year T o ta l Equ i p m e n t S tr u c tu r e s T o ta l s to c k s Equ i p m e n t Net S tr u c tu r e s T o ta l s to c k s Equ i p m e n t S tr u c tu r e s 1 9 4 7 _____ 1948 . . . . 1 9 4 9 .... $234 188 153 $174 144 12 $59 43 40 $1,500 1,647 1, 758 $877 997 1, 085 $623 649 673 $1,245 1,374 1,462 1 9 5 0 _____ 1 9 5 1 .... 19 5 2 . . . . 1953. . . . 1954 . . . . 232 217 2 17 239 73 55 67 55 37 1,945 2,115 2,279 2,460 2,605 1,216 1,348 1,461 1,603 1,728 8 17 729 767 210 159 162 149 183 173 856 877 1,623 1,761 1,891 2,033 2,138 1,0 1,1 1,2 1,3 1,4 30 33 15 23 12 1 9 5 5 _____ 1956 . . . . 1957. . . . 19 5 8 . . . . 1 9 5 9 .... 256 297 296 17 3 193 220 235 11 1 181 2 3 3 3 3 ,7 ,0 ,2 ,2 ,3 8 0 0 8 7 7 3 9 5 1 1,852 2,007 2,169 2,199 2,252 935 995 1 , 039 1,085 1,119 2,278 2,450 11 2,637 2,675 1 1 1 1 1 00 19 42 33 47 778 83 1 142 75 77 1 62 50 1 9 6 0 _____ 1 9 6 1 .... 19 6 2 . . . . 1 9 6 3 .... 1 9 6 4 .... 173 128 183 1 329 126 92 133 147 230 47 35 49 54 98 3 3 3 3 3 ,4 ,4 ,4 ,5 ,7 2 3 7 2 0 8 0 5 8 0 2 2 2 2 2 ,2 ,2 ,2 ,2 ,3 7 6 7 9 8 9 2 6 4 7 1, 149 1 , 167 1,199 1,234 1,312 2 2 2 2 2 ,6 ,6 ,6 ,6 ,7 8 4 4 6 9 4 0 4 0 9 1,738 1,689 1,675 1,671 1,747 945 95 1 96 9 989 1,052 1 9 6 5 _____ 1 9 6 6 .... 1 9 6 7 .... 1968. . . . 1969. . . . 366 353 296 243 4 16 262 268 229 192 309 104 84 67 5 1 107 3 4 4 4 4 ,900 ,079 ,195 ,252 ,4 7 6 2 2 2 2 2 ,5 ,6 ,6 ,7 ,8 0 2 9 3 7 5 3 7 0 7 1,395 1,455 1,497 1,521 1,598 2 3 3 3 3 ,9 ,1 ,2 ,2 ,4 7 0 20 08 38 37 2,021 1 9 7 0 _____ 1 9 7 1 .... 1 9 7 2 .... 1 9 7 3 .... 1 9 7 4 .... 269 1 292 38 0 44 1 205 167 249 316 343 64 43 42 63 97 4 4 4 4 5 ,5 ,5 ,6 ,8 ,0 2 2 2 3 3 , 9 16 ,916 ,996 , 142 ,314 1,631 1,639 1,644 1,667 1,722 3 3 3 3 3 ,4 ,4 ,5 ,6 ,8 8 6 2 6 6 20 21 1 6 _________ 47 55 4 1 10 36 _________ _________ 82 2,6 2 4 3 5 1 $753 856 923 ,5 ,6 ,7 ,7 ,7 1,851 1, 9 5 7 2,045 2 , 183 2,213 2,202 2,272 2,404 2,557 $492 5 17 539 592 675 7 10 725 868 904 927 1,118 1,162 1 , 187 1,193 1,254 1,269 1,261 , 1 1 1,261 1,303 Sector 42. Other fabricated metal products: Historical dollars (Millions of dollars) G ross T o ta l 1 9 4 7 _____ 1 9 4 8 --------1 9 4 9 _____ G ross in v e s tm e n t I E qu ip m e nt | S tr u c tu r e s T o ta l Net s to c k s r~ ~ i Equi pment $102 55 76 I | I $73 36 51 | I $28 18 25 $431 478 545 $273 303 348 411 490 567 657 776 S tr u c tu r e s I | T o ta l s to c k s Equ i p m e n t S tr u c tu r e s $376 415 473 | | | $238 262 300 $ 137 152 173 225 259 290 35 1 392 554 653 747 881 1,021 | | | I | 354 422 487 563 666 200 23 1 259 317 355 $158 174 196 1950 1951 1952 1953 1954 _____ _____ _____ _____ _____ 102 124 122 167 178 i | I I | 70 87 88 104 134 I | | | 31 36 33 63 44 637 749 857 1,009 1,168 1955 1956 1957 1958 1959 _____ _____ ----------------_____ 170 198 178 136 153 | | I | I 124 138 137 103 113 | | I 46 59 4 1 32 39 1,316 1,488 1,637 1,741 1,856 88 1 997 1,108 1, 182 1,261 435 49 1 529 558 594 1,147 1,294 1,414 1,485 1,566 | I I I | 754 850 939 987 1,040 393 444 475 497 526 1 9 6 0 _____ 1 9 6 1 .... 1 9 6 2 _____ 1 9 6 3 _____ 1 9 6 4 _____ 165 158 20 1 227 258 I | I | I 121 119 14 1 169 198 I | | | | 44 38 59 57 59 1,978 2,087 2,232 2,395 2,58 1 1,343 1 , 4 17 1,507 1 , 6 18 1,751 635 669 724 776 830 1,651 1,721 1,826 1,949 2,094 I I | | | 1 1 1 1 1 ,093 ,138 ,199 ,280 ,383 557 582 627 668 7 10 1965 1966 1967 1968 1969 _____ _____ _____ _____ _____ 290 346 384 348 409 I I | I I 224 257 286 265 309 | I I 66 88 98 83 100 2,7 3,0 3,3 3,5 3,8 2 0 6 8 2 1, 902 2,079 2,277 2,446 2,651 889 970 1,059 1, 132 1,220 2 2 2 2 3 ,2 ,4 ,7 ,9 ,1 6 7 1 1 5 2 5 6 0 4 I I I I | 1,504 1,651 1,818 1, 954 2 , 126 757 824 898 955 1,027 1970 . . . . 1 9 7 1 .... 1972. .. . 1973. . . . 1 9 7 4 _____ 363 357 420 526 637 | | | I I 270 267 326 4 17 464 I I I i 92 89 93 108 172 4 4 4 4 5 ,109 ,3 3 1 ,606 ,978 ,450 2,810 2,957 3 , 157 3,439 3,7 6 0 1 1 1 1 1 3 3 3 4 4 ,3 ,5 ,7 ,0 ,4 39 05 22 31 34 I I 1 | | 1 2,2 2,3 2,5 2,7 3,0 1,089 1, 146 1,204 1,274 1,406 9 5 3 7 7 ,2 ,3 ,4 ,5 ,6 9 7 4 3 8 9 3 9 8 9 ________________ I___ 4 5 1 5 2 9 9 8 6 8 Sector 42. Other fabricated metal products: Constant dollars (Millions of 1972 dollars) G ross in v e s tm e n t G ross s to c k s Net s to c k s Year T o ta l 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ $247 119 163 E quipm ent I S tr u c tu r e s T o ta l r | Equ i p m e n t $184 83 1 12 I | $62 36 51 $1,319 1,410 1,542 | | | 1,717 1,910 2,084 2,331 2,588 | ( | | | 1 1 1 1 1 S tr u c tu r e s $735 80 1 893 $584 608 649 , 0 14 , 150 ,277 ,421 ,609 703 759 807 910 979 T o ta l Equ i p m e n t S tr u c tu r e s $634 682 755 $487 509 545 1,448 1,609 1,749 1,959 2,175 854 965 1,063 1,179 1,336 594 644 685 780 838 $1,122 1,19 1 1,300 1950 1951 1952 1953 1954 _____ _____ _____ _____ _____ 208 229 2 17 295 3 11 143 162 157 182 231 I | | | 65 67 59 113 80 1955 1956 1957 1953 1959 _____ _____ _____ _____ _____ 290 305 257 197 220 206 206 193 144 155 I I I | | 83 98 64 53 65 2 3 3 3 3 ,8 ,0 ,2 ,3 ,4 1 4 2 3 6 4 8 8 9 5 | | | | | 1,764 1,912 2,040 2,112 2 , 187 1,050 1,136 1 , 187 1,227 1,278 2 2 2 2 2 ,3 ,5 ,6 ,7 ,8 5 4 7 3 0 8 6 6 4 4 1,459 1,573 1,664 1,698 1,733 899 973 1,011 1, 036 1,071 1 9 6 0 _____ 1 9 6 1 _____ 1 9 6 2 _____ 1 9 6 3 _____ 1 9 6 4 _____ 233 222 28 1 313 348 159 157 183 2 19 254 | | | | 73 64 97 93 94 3 3 3 4 4 ,5 ,7 ,8 ,0 ,2 9 0 5 3 3 4 1 7 2 2 | I | | | 2 2 2 2 2 1 1 1 1 1 2 2 3 3 3 ,8 ,9 ,0 ,1 ,2 77 28 28 5 1 99 1,765 1,786 1,825 1,894 1,990 1,112 1, 142 1,203 1,256 1,309 1965 1966 1967 1968 1969 _____ . . . . _____ _____ _____ 385 444 480 4 13 465 283 313 340 30 1 340 | 102 130 139 1 12 125 4 4 5 5 5 ,4 ,7 ,0 ,2 ,5 5 3 2 4 0 7 0 8 7 8 | | | | | 2,77 1 2,939 3 , 126 3,265 3,434 1,686 1,790 1,901 1, 932 2,074 3,475 3,699 3,948 4 , 120 4,333 2 2 2 2 2 ,1 ,2 ,4 ,5 ,6 08 48 08 21 65 1,367 1,450 1,540 1,599 1,668 1970 197 1 1972 1973 1974 _____ _____ _____ _____ _____ 390 364 420 510 550 285 270 326 409 415 | | | | 105 94 93 100 134 5 5 6 6 6 ,6 ,8 ,0 ,2 ,5 8 2 1 8 8 4 5 5 5 8 | | | | | 3 3 3 3 4 2 2 2 2 2 4 4 4 4 5 2 2 2 3 3 ,7 ,8 ,9 ,0 ,2 4 0 1 9 7 1,7 1,7 1,7 1,8 1,8 I | 83 ,2 ,3 ,3 ,4 ,6 ,5 ,6 ,7 ,9 ,1 58 17 94 96 23 4 2 6 8 9 2 8 7 3 8 ,336 ,383 ,462 ,535 ,608 , , , , , 1 2 3 3 142 97 47 02 89 ,4 ,5 ,6 ,9 ,1 6 5 8 0 4 0 1 8 4 7 6 5 3 5 2 14 46 75 09 74 Sector 43. Engines and turbines: Historical dollars (Millions of dollars) — G ross G ross in v e s tm e n t N et s to c k s s to c k s ------------------------------------ ! E quipm ent T o ta l | S tr u c tu r e s I I T o ta l S tr u c tu r e s E qu ip m e nt Equ i p m e n t T o ta l S tr u c tu r e s ------------------------------------ r _ 1 9 9 7 _____ 1998 . . . . 1 9 9 9 _____ $39 20 21 $22 19 15 I | I $ 17 5 5 $180 197 2 16 I | | | 1 9 5 0 _____ 1 9 5 1 .... 1 9 5 2 .... 1 9 5 3 _____ 1 9 5 9 _____ 16 39 93 50 92 13 25 28 32 30 | I | I | 2 8 15 17 11 229 259 298 392 378 I | I | | 131 159 179 206 231 97 105 1 19 136 196 205 231 269 302 331 1 19 139 159 177 196 90 97 110 125 139 1 9 5 5 .... 1956 . . . . 1 9 5 7 _____ 1 9 5 8 _____ 1 9 5 9 --------- 38 95 82 69 53 30 37 6 1 50 38 | 8 7 21 18 19 909 995 518 577 617 | I | I | 255 289 337 377 909 153 16 1 18 1 199 212 359 382 995 992 521 219 238 283 3 16 339 139 199 16 1 176 186 1960 . . . . 1 9 6 1 .... 1 9 6 2 .... 1 9 6 3 ... . 1 9 6 9 _____ 9 1 50 96 55 6 1 28 38 38 96 51 | I I 693 676 70 1 739 769 | | I I | 9 19 992 962 9S8 5 18 229 239 239 295 251 539 559 567 587 6 11 390 359 366 389 905 199 200 20 1 203 205 569 6 19 708 82 1 969 266 287 33 1 386 412 660 729 893 996 1,197 999 99 1 57 1 673 803 2 15 232 27 1 322 393 960 998 536 598 673 1,319 1,933 1,593 1,757 2,020 I I I 1 12 11 7 8 9 1 9 6 5 .... 1966 . . . . 1967 . . . . 1968 . . . . 1 9 6 9 _____ 89 106 169 203 206 7 1 8 1 117 193 175 I 1 | j | 17 25 97 60 3 1 830 907 1,039 1,208 1,377 I | I | | 1970 . . . . 1 9 7 1 .... 1 9 7 2 .... 1 9 7 3 .... 1 9 7 9 _____ 229 188 186 299 358 174 193 19 1 228 273 | I 59 95 99 70 89 1,565 1,709 1,896 2,091 2,389 | | | I | 1 I I 1 1 1 1 1 $99 107 120 $85 90 95 $ 168 182 197 $86 96 107 $8 1 85 89 ,109 ,210 ,310 ,992 ,715 927 1,013 1,091 1,299 1,992 386 9 19 95 1 508 577 ___ Sector 43. Engines and turbines: Constant dollars (Millions of 1972 dollars) G ross in v e s tm e n t G ross s to c k s Net Year T o ta l E qu ip m e nt 1 | S tr u c tu re s s to c k s I T o ta l Equi pment S tr u c tu r e s To ta l :q u i p m e n t S tr u c tu r e s ________________ 1 9 9 7 _____ 1 99S . . . . 1999. .. . $92 93 99 $59 32 32 I I $37 11 11 $989 525 562 $290 267 299 1 9 5 0 _____ 1 9 5 1 .... 1 9 5 2 .... 1953. . . . 1959 . . . . 32 62 75 86 72 26 96 98 55 51 | | | I I 5 15 26 30 21 586 638 702 779 830 3 15 359 393 937 979 1 9 5 5 _____ 1956 . . . . 1957 . . . . 1 9 5 8 _____ 1 9 5 9 ... . 63 67 1 18 100 76 99 59 85 69 52 | | | | | 19 12 33 30 29 875 92 1 1,017 1,091 1,138 1 9 6 0 _____ 1 9 6 1 _____ 1 9 6 2 .... 19 6 3 . . . . 1 9 6 9 _____ 58 68 6 1 / 3 79 37 50 99 59 65 | | I I | j 21 18 1 1 1, 169 1,195 1,219 1,291 1 , 2 7 1* 1 9 6 5 _____ 1 9 6 6 .... 1 9 6 7 _____ 1968. . . . 1969. .. . 1 16 136 205 299 231 88 99 137 162 192 1 9 7 0 _____ 1 9 7 1 .... 1 9 7 2 _____ 1 9 7 3 _____ 1 9 7 9 .... 293 192 186 289 3 10 182 199 19 1 229 299 | | I | 27 37 67 8 1 39 1,3 1,9 1,5 1,7 1,9 3 1 6 9 1 | | | | 6 1 97 99 65 65 2 2 2 2 2 87 08 18 25 98 _____________________ I____ 13 19 ,0 ,2 ,3 ,5 ,7 9 5 2 5 2 $998 977 509 | | | $ 2 16 238 253 $232 238 295 27 1 289 308 337 355 517 557 608 666 708 I | | | | I 27 1 30 1 330 369 39 1 296 256 277 302 316 507 593 608 655 68 1 367 377 908 936 957 737 767 895 899 926 | | | | | 9 19 939 992 526 539 323 328 352 373 387 689 706 7 19 739 762 975 989 995 502 509 93 1 999 995 955 970 | | I I | 535 59 1 595 557 573 396 902 900 398 397 807 860 950 1 , 069 1,206 527 555 6 12 680 706 | | | | 1,533 | 6 11 658 79 1 896 977 907 927 976 538 556 1 1 1 1 1 752 789 81 1 857 903 1,687 1,783 1,866 2,096 2,237 | | | | | ,339 ,929 ,507 ,668 ,899 _____________________ 84 $299 258 267 1 1 1 1 ,019 ,085 ,218 ,389 ________________ I____ 1 1 1 1 1 ,091 ,162 ,229 ,363 ,513 596 620 692 683 723 Sector 44. Farm machinery and equipment: Historical dollars (Millions of dollars) G ross G ross in v e s tm e n t Net s to c k s s to c k ; Year $77 69 38 1947 . . . . 1948. . . . 1 9 4 9 _____ To ta l S tr u c tu r e s Equ i p m e n t T o ta l $46 51 27 $31 18 10 $226 292 326 Equi pment $120 168 193 S tr u c tu r e s T o ta l Equ i p m e n t $106 123 132 $207 269 298 $109 155 176 S tr u c tu r e s $97 1 14 12 1 1 9 5 0 _____ 1 9 5 1 ... . 1 9 5 2 ... . 1953.. . . 1 9 5 4 _____ 32 42 5 1 60 51 24 29 35 44 40 8 12 15 15 1 1 354 391 437 489 531 215 240 27 1 309 342 139 150 165 179 189 320 349 386 429 460 193 2 12 236 266 290 127 137 150 162 170 1955. . . . 1956 . . . . 1957 . . . . 1958 . . . . 1 9 5 9 --------- 5 1 48 46 56 46 42 38 36 41 36 9 9 9 14 10 57 1 606 638 677 705 375 402 426 452 47 1 196 204 2 12 225 234 490 513 532 558 57 1 314 332 346 362 37 1 175 180 185 195 200 1960 . . . . 1 9 6 1 .... 1 9 6 2 .... 1 9 6 3 .... 1 9 6 4 _____ 57 47 44 66 84 45 35 34 48 59 11 11 10 17 25 741 763 778 8 13 864 497 510 518 538 566 243 253 260 275 297 593 602 605 629 670 387 390 391 404 428 206 2 11 214 224 242 1 9 6 5 .... 1966 . . . . 1967 . . . . 1968 . . . . 1 9 6 9 _____ 88 110 130 123 105 70 70 94 94 86 17 39 35 29 19 916 988 1,077 1,159 1,220 604 641 700 757 806 311 346 377 40 1 4 14 7 12 775 855 925 974 461 493 547 598 640 25 1 28 1 307 326 334 1970 . . . . 1 9 7 1 .... 1972 . . . . 19 7 3 . . . . 1 9 7 4 _____ 10 1 102 164 139 241 75 78 123 99 159 26 23 41 40 81 1,2 1,3 1,4 1,5 1,7 842 879 960 1,014 1, 126 433 448 48 1 5 12 583 1,016 1,055 1,153 1,221 1,387 667 695 765 806 905 348 359 388 414 482 75 28 41 26 10 Sector 44. Farm machinery and equipment: Constant dollars (Millions of 1972 dollars) G ross in v e s tm e n t G ross s to c k s Net s to c k s Year T o ta l 1 9 4 7 _____ 1 9 4 8 --------1 9 4 9 _____ E qu ip m e nt $179 150 77 $ 109 112 57 47 S tr u c tu re s T o ta l I I J $69 37 20 $624 762 828 51 6 1 74 67 1 j j j 16 23 27 27 19 879 940 1,012 1,094 1, 156 68 55 50 55 48 | | I | | 16 15 14 24 16 I | I 1950 1951 1952 1953 1954 _____ _____ --------_____ _____ 64 75 89 102 87 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ 84 7 1 64 79 65 1 9 6 0 _____ 1 9 6 1 .... 1 9 6 2 _____ 1 9 6 3 _____ 1 9 6 4 _____ 77 64 59 89 1 15 58 45 43 6 1 75 1965 1966 1967 1968 1969 _____ _____ _____ _____ _____ 114 143 16 1 145 1 18 86 85 111 105 94 1970 197 1 1972 1973 1974 _____ _____ _____ _____ _____ 108 104 164 134 207 78 79 123 97 143 I I | | I Equi pment $296 402 452 S tr u c tu r e s T o ta l Equ i p m e n t S tr u c tu r e s $328 360 375 $553 684 738 $265 365 407 $288 3 18 330 492 534 584 643 69 1 387 405 428 450 465 775 8 19 872 934 975 435 464 499 542 574 339 354 373 391 40 1 1,213 1,252 1,282 1,324 1,347 737 766 788 8 11 823 476 486 494 5 13 524 1,010 1,027 1, 0 34 1,051 1,051 603 6 16 620 625 621 407 4 11 414 426 429 18 18 16 28 40 1,378 1,388 1,388 1,413 1,460 84 1 840 832 837 853 536 548 556 576 606 1 , 058 1,049 1,033 1 , 045 1, 082 624 6 12 596 597 6 12 434 437 437 448 470 27 58 50 40 23 1,502 1,572 1,658 1,727 1,767 880 903 952 996 1,030 622 668 705 730 737 1 1 1 1 1 ,116 ,179 ,258 ,319 ,351 638 663 7 13 757 789 478 515 544 562 562 29 25 4 1 37 63 1,796 1 , 8 19 1, 902 1,952 2,073 1,047 1,065 1 , 126 1,16 1 1,241 748 754 775 790 83 1 1 1 1 1 1 ,371 ,384 ,456 ,494 ,602 803 816 87 1 897 968 567 568 584 596 634 _______ _________ 85 _________ Sector 45. Construction machinery and equipment: Historical dollars (Millions of dollars) — — G ross G ross in v e s tm e n t Net s to c k s s to c k s Year Equ i p m e n t T o ta l $6 1 60 42 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ S tr u c tu r e s T o ta l $44 45 32 $16 15 10 $27 1 325 36 1 E qu ip m e nt $167 207 233 I I S tr u c tu r e s | | T o ta l Equi pment S tr u c tu r e s $104 1 18 128 $242 292 322 $143 181 203 $98 111 119 135 152 169 186 20 1 348 420 472 538 585 223 280 316 368 402 124 140 155 169 182 1950 1951 1952 1953 1954 _____ ----------------_____ _____ 39 88 70 88 72 31 70 51 70 55 7 18 18 17 16 393 474 535 6 13 673 258 321 365 426 4 7 1 1955 1956 1957 1953 1959 _____ _____ _____ _____ _____ 62 8 1 106 7 1 83 52 66 76 52 68 9 14 30 19 14 72 1 786 874 923 98 1 5 10 562 621 653 697 I I | 2 10 223 252 270 283 6 19 667 758 769 807 430 469 5 14 532 562 188 198 223 237 245 1960 . . . . 1 9 6 1 .... 1 9 6 2 _____ 1 9 6 3 _____ 1 9 6 4 --------- 89 63 74 75 106 7 1 44 54 60 76 18 19 19 14 30 1, 0 4 2 1,072 1,108 1,142 1,202 742 755 776 798 832 I I I | 299 3 16 332 343 370 849 859 877 893 936 591 590 597 607 630 257 268 279 285 306 1 9 6 5 _____ 1 9 6 6 _____ 1 9 6 7 _____ 1968. .. . 1 9 6 9 _____ 14 1 17 1 228 194 211 1 11 121 174 144 158 30 50 53 49 53 1,294 1,411 1,581 1 , 7 14 1,862 898 970 1,093 1, 183 1,285 685 749 862 942 1,030 326 365 407 443 482 56 56 42 68 191 2 , 0 15 2 , 156 2,309 2,520 3,020 1,389 1,483 1,603 1,756 2,076 1 1 1 1 1 524 564 590 640 812 1970 197 1 1972 1973 1974 219 212 228 29 1 585 _____ _____ _____ _____ _____ 163 155 185 222 394 _________ I I I | | I | | | | | __________ L_ 395 44 1 488 53 1 577 1,01 1,11 1,26 1,38 1,51 2 4 9 5 3 625 673 706 763 943 1,644 1,760 1,885 2,065 2,530 ,1 ,1 ,2 ,4 ,7 19 95 95 25 18 Sector 45. Construction machinery and equipment: Constant dollars (Millions of 1972 dollars) G '■oss in v e s tm e n t G ross s to c k s Net Year T o ta l Equ i p m e n t S tr u c tu r e s T o ta l 1 9 4 7 _____ 1948. . . . 1949. . . . $139 128 8 6 1 9 5 0 _____ 1 9 5 1 _____ 1 9 5 2 _____ 1 9 5 3 _____ 1 9 5 4 _____ 76 156 1 19 150 121 60 122 87 1 19 9 1 15 33 32 3 1 29 1 1 1 1 1955 1956 1957 19 5 8 1959 102 119 152 10 1 114 84 96 104 70 90 17 23 47 30 24 1,510 1,590 1,698 1,750 1,809 _____ _____ _____ _____ _____ $102 98 65 $36 29 20 Equi pment $760 870 938 $ 4 18 50 1 550 996 ,132 ,228 ,352 ,443 594 699 766 862 926 S tr u c tu r e s T o ta l $34 1 369 388 s to c k s Equi pment $667 768 822 $352 430 470 $314 338 352 40 1 432 462 490 516 864 98 1 1 , 056 1,155 1,219 503 595 646 724 769 360 386 409 430 449 979 1,040 1,105 1,13 1 1, 171 531 550 593 6 18 637 1,25 1,30 1,38 1,40 1,43 8 8 6 5 2 80 1 842 885 888 907 456 466 500 516 525 6 1 50 48 43 78 923 900 887 880 889 537 550 56 1 563 588 1 9 6 0 _____ 1 9 6 1 _____ 1 9 6 2 _____ 1 9 6 3 .... 1 9 6 4 _____ 121 87 100 100 142 91 56 69 76 95 29 31 3-1 23 47 1,868 1,886 1,910 1,927 1,930 1 1 1 1 1 8 3 5 9 8 660 683 704 7 17 752 1 1 1 1 1 1 9 6 5 _____ 1 9 6 6 .... 1 9 6 7 _____ 1 9 6 8 _____ 1 9 6 9 .... 183 220 279 228 240 137 146 202 162 173 45 74 76 66 66 2 2 2 2 2 ,068 , 188 ,364 ,486 , 6 17 1,284 1,345 1,461 1,536 1,621 784 843 902 949 996 1,550 1,657 1,820 1,928 2,044 940 997 1,110 1, 180 1,258 1 9 7 0 _____ 1 9 7 1 _____ 1 9 7 2 _____ 1 9 7 3 _____ 1974. . . . 234 216 228 282 505 169 156 185 2 18 355 64 59 42 63 149 2 2 2 3 3 ,739 ,841 ,952 ,112 ,491 1,701 1,766 1,859 1,982 2,239 1,038 1,074 1,092 1 , 130 1,252 2 2 2 2 2 1 1 1 1 1 86 S tr u c tu r e s ,2 ,2 ,2 ,2 ,2 0 0 0 0 2 ,4 ,4 ,4 ,4 ,4 , 150 ,231 ,320 ,455 ,8 0 7 ,329 ,383 ,460 ,565 ,801 610 659 709 748 786 820 848 859 889 1,005 Sector 46. Materials handling equipment: Historical dollars (Millions of dollars) G ross G ross i nvestm e n t Net s to c k s s to c k s Year T o ta l 1 E qu ip m e nt 1 $54 76 9 1 I I I $22 29 34 I 8 19 19 18 9 103 132 158 186 204 I I | | I 38 49 56 66 75 11 13 15 13 17 1 I I I I 5 8 17 5 4 216 234 261 274 290 | I I | | 82 92 104 1 12 124 18 11 14 14 17 I i 1 I | 5 5 5 5 10 306 315 326 335 352 | | I I I 137 14 1 148 153 16 1 25 28 34 28 31 | I I I I 10 19 18 17 18 377 411 449 480 513 | I | | I 176 193 2 16 232 251 32 30 37 49 76 I I 19 14 18 19 34 547 573 605 650 733 | I I | I 269 285 305 336 393 $8 8 5 I I 14 31 28 31 21 | 1 I I I 5 12 9 12 I I I I 11 1955 . . . . 1956 . . . . 1957 . . . . 1958. . . . 1 9 5 9 _____ 16 22 33 18 22 | | | | | 1960 . . . . 1 9 6 1 .... 1962. . . . 1963. . . . 1 9 6 4 _____ 23 17 19 19 28 1965 1966 1967 1968 1969 _____ . . . . . . . . . . . . _____ 36 47 53 46 50 | | | I I I I I I I | 1970 197 1 1972 1973 1974 . .. . _____ _____ _____ _____ 52 45 55 69 110 | I I | I $25 24 16 1 9 5 0 _____ 1 9 5 1 _____ 1 9 5 2 _____ 1953. . . . 1 9 5 4 _____ E qu ip m e nt $ 17 15 10 i I | 1 9 4 7 _____ 1948 . . . . 1 9 4 9 _____ T o ta l S tr u c tu r e s I I I I I I S tr u c tu r e s Equi pment S tr u c tu r e s $30 44 54 I | $31 47 57 $49 70 84 $ 19 26 29 I | 64 83 10 1 119 128 94 122 145 170 185 33 43 48 57 64 133 14 1 157 16 1 165 194 207 23 1 239 249 69 77 86 92 102 124 130 144 146 147 I I | | 169 173 178 182 19 1 260 263 267 27 1 282 11 1 1 13 1 16 1 19 125 148 150 15 1 15 1 157 | I I | 200 2 17 233 247 262 300 328 36 1 384 4 10 138 152 172 186 200 162 17 6 188 198 209 278 287 300 313 340 436 453 477 5 14 590 215 226 241 267 319 221 227 236 246 270 I I | I ________I____ ________I__ _______ I_ T o ta l ____ 6 1 79 96 113 120 Sector 46. Materials handling equipment: Constant dollars (Millions of 1972 dollars) G ross in v e s tm e n t G ross s to c k s Net s to c k s Year T o ta l 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ $54 46 32 Equ i p m e n t $16 15 10 S tr u c tu r e s $38 3 1 22 T o ta l Equ i p m e n t $147 189 217 S tr u c tu r e s $52 64 71 $94 124 145 T o ta l $129 170 195 Equ i p m e n t S tr u c tu r e s $43 55 6 1 $86 115 134 1950 1951 1952 1953 1954 --------_____ _____ _____ . . . . 26 54 47 5 1 34 9 19 13 18 17 16 35 33 32 16 239 289 33 1 376 402 78 94 103 117 128 16 1 195 227 258 274 2 14 260 297 336 357 65 79 86 97 106 148 180 210 239 251 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ 26 31 46 25 28 16 17 19 16 21 10 13 27 8 6 420 442 478 492 509 137 147 159 167 179 282 294 319 325 330 368 384 4 13 420 428 1 12 120 128 133 142 256 264 285 286 286 1960 196 1 1962 1963 1964 _____ _____ --------_____ _____ 30 22 25 25 38 22 13 17 17 21 8 8 8 8 16 527 535 546 555 575 19 1 193 198 202 209 336 342 347 352 365 437 437 438 438 450 151 150 152 153 158 286 286 286 285 291 1965 1966 1967 1968 1969 _____ _____ _____ _____ _____ 47 6 1 66 55 57 31 33 39 32 34 16 28 26 23 23 603 643 687 7 18 751 226 243 266 282 299 377 400 420 436 451 469 50 1 536 559 581 172 187 209 221 235 297 313 327 337 346 1970 197 1 1972 1973 1974 _____ _____ _____ _____ _____ 56 46 55 67 97 33 31 37 49 70 22 15 18 18 26 780 796 8 19 850 909 315 327 343 369 415 464 469 476 481 494 600 607 621 645 697 247 254 266 288 330 353 352 354 356 366 _________ 87 _________ Sector 47. Metalworking machinery and equipment: Historical dollars (Millions of dollars) G ross G ross in v e s tm e n t Net s to c k s s to c k s ----------------------------i T o ta l I E qu ip m e nt S tr u c tu re s T o ta l I $46 1 498 534 S tr u c tu r e s Equi pment T o ta l $380 409 436 $188 200 211 | I | $273 298 322 573 667 793 924 1,054 1 | | | | 352 4 14 492 577 668 4 1 49 49 24 19 1,163 1,315 1,463 1,537 1,593 I I | I I 745 847 950 1,006 1,048 422 467 5 12 53 1 545 1 1 1 1 83 74 88 1 10 137 29 2 1 34 26 38 1,669 1,724 1,801 1,888 2 ,008 | i I I I 1,099 1,138 1, 188 1,254 1,343 I I I I | 179 252 250 224 221 45 87 69 63 67 2,171 2,440 2,682 2,8 8 5 3,080 | | I | I 1,467 1,657 1,839 1, 988 2 , 127 | I I | I 179 14 1 174 206 321 53 34 44 50 90 3 3 3 5 3 | i | I I 2 2 2 2 2 $16 15 15 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ $57 49 48 | I I $40 33 33 1950 . . . . 1 9 5 1 .... 1952. .. . 1 9 5 3 _____ 1 9 5 4 _____ 53 110 143 15 1 151 | I I I | 40 73 9 1 10 1 107 12 37 52 50 43 1 9 5 5 _____ 1 9 5 6 _____ 1957 . . . . 1 9 5 8 _____ 19 5 9 . . . . 138 174 177 106 90 I I I | I 97 124 128 82 7 1 1960 . . . . 1 9 6 1 .... 1962. .. . 1963. . . . 1 9 6 4 _____ 113 96 122 137 176 | I I I I 1965. . . . 1 9 6 6 _____ 1967 . . . . 1 9 6 8 _____ 1 9 6 9 _____ 225 339 320 287 288 1970 . . . . 1 9 7 1 .... 1972. .. . 1973. .. . 1 9 7 4 _____ 232 176 219 257 4 11 ,212 ,281 ,386 ,524 ,809 1 1 1 1 $225 244 26 1 S tr u c tu r e s $154 164 174 284 333 407 483 562 18 1 213 259 302 338 999 ,129 ,258 ,309 ,340 628 7 17 806 844 866 371 4 12 451 465 473 569 585 6 13 633 665 1,387 1 , 4 12 1,458 1,512 1,599 897 9 13 938 980 1, 044 490 499 520 532 555 703 783 843 896 953 1,729 1, 9 6 5 2,172 2,339 2,498 1 , 144 1,310 1,468 1,592 1,707 584 654 704 746 79 1 2 2 2 2 3 1,772 1,794 1,843 1,917 2,099 820 828 846 868 928 220 253 30 1 346 386 ,218 ,265 ,341 ,444 ,657 Equ i p m e n t 994 ,015 ,045 ,079 ,151 466 55 1 666 785 90 1 ,5 ,6 ,6 ,7 ,0 9 2 8 8 2 2 2 9 5 7 _____________________ ________________ I____ Sector 47 Metalworking machinery and equipment: Constant dollars (Millions of 1972 dollars) G"oss Year T o ta l 1947 . . 1948 . . 1949. . in v e s tm e n t G ross Equ i p m e n t S tr u c tu re s $ 14 1 107 105 $ 104 76 73 1 10 204 258 269 268 84 135 165 180 188 . . . . 235 27 1 26 1 155 129 . . . . 160 133 172 186 237 97 1 16 143 17 6 . . . . . 297 4 36 397 340 326 227 307 298 255 242 69 128 98 85 83 1970 . . 1971.. 1972. . 1973. . 1974. . 247 179 219 247 354 186 143 174 200 284 60 35 44 46 70 1950 . 1951. 19 5 2 . 1953. 1954. 1955. 1956 . 1957 . 19 5 8 . 1959. 196 0 . 1961. 1962. 1963. 1964. 1965. 1966 . 1967. 1968. 1969. . . . . . . . s to c k s Net s to c k s — $36 31 3 1 T o ta l Equ i p m e n t 1 1 S tr u c tu r e s T o ta l Equ i p m e n t S tr u c tu r e s $1,513 1,577 1,636 I | | $750 803 849 $762 774 786 $1,209 1,254 1,293 $6 1 1 646 676 $598 6 07 6 17 26 69 92 83 79 1,697 1,849 2,050 2,257 2,457 | | | | | 903 1,005 1,133 1,269 1,409 793 843 9 17 987 1,047 1,332 1,461 1,639 1,820 1,994 7 11 794 902 1,019 1, 140 62 1 667 736 800 853 16 1 188 183 1 16 97 74 82 77 39 31 2 2 2 3 3 ,619 ,810 ,985 ,0 5 1 ,087 | | | | | 1 , 5 16 1,645 1,763 1,811 1,837 1,102 1,164 1,221 1,239 1,250 2,1 2,2 2,4 2,4 2,4 2 9 3 6 6 7 0 6 8 7 1,227 1,336 1,434 1,459 1,459 90 0 954 1,001 1,009 1,008 111 48 35 55 43 6 1 3 3 3 3 3 ,1 ,1 ,2 ,3 ,4 9 0 4 5 8 | | t | | 1,873 1,892 1, 924 1, 977 2,056 1 1 1 1 1 ,2 ,2 ,3 ,3 ,3 76 88 20 37 72 2 2 2 2 2 ,4 ,4 ,5 ,5 ,6 91 8 1 03 32 06 1,468 1,458 1,460 1,484 1,535 1 023 1,023 3,593 3,886 4,130 4,307 4,461 | | | | | 2 2 2 2 2 , 179 ,372 ,549 ,673 ,779 1 1 1 1 1 ,4 ,5 ,5 ,6 ,6 14 13 80 33 82 2 2 3 3 3 ,7 3 1 ,988 ,1 9 7 ,341 ,464 1,632 1,802 1 , 957 2,06 1 2,149 1,099 1,186 1,240 1,279 1,315 4 4 4 4 4 | I | | | 2 2 2 2 3 ,8 2 1 , 8 17 ,84 1 ,889 , 0 19 1 1 1 1 1 ,7 ,7 ,7 ,7 ,7 07 05 10 15 42 3 3 3 3 3 ,502 ,466 ,467 ,491 , 6 16 2,175 2,155 2 , 163 2,193 2,302 1 . 326 ,5 ,5 ,5 ,6 ,7 4 8 4 1 2 29 22 51 04 61 _______ L___________________ 88 , 1,042 1,048 1,070 1,311 1,303 1,297 1,313 Sector 48. Special industry machinery and equipment: Historical dollars (Millions of dollars) — Gross G ross i nvestm e n t Net s to c k s s to c k s Year T o ta l 1947 . . . . 1948. . . . 1 9 4 9 _____ I E qu ip m e nt ---------------------------- 1--------$62 I 39 I 33 I S tr u c tu re s I I E qu ip m e nt T o ta l I I T o ta l S tr u c tu r e s I i E quipm ent S tr u c tu r e s $39 27 23 $22 12 10 $ 199 235 265 $113 138 159 I | $86 96 105 $183 216 242 I I | $109 126 195 I $79 89 97 1950 . . . . 1 9 5 1 .... 1952 . . . . 1 9 5 3 .... 1 9 5 9 _____ 93 63 59 58 98 I I I | I 32 39 39 39 35 11 23 19 18 12 305 369 9 19 966 507 189 226 257 292 322 I I i | 1 15 138 156 179 185 277 330 372 915 446 I | I I | 170 202 227 255 277 | I I I | 106 128 19 5 160 169 1 9 5 5 .... 1956 . . . . 1957 . . . . 1958 . . . . 1 9 5 9 --------- 56 81 78 55 56 | I I I I 9 1 70 51 39 9 1 15 1 1 26 15 15 559 626 693 735 776 355 9 17 959 986 513 I | I | 198 209 239 298 262 983 593 597 623 648 302 359 385 902 9 17 I I I I I 181 188 2 1 1 22 1 23 1 1960 . . . . 1 9 6 1 .... 19 6 2 . . . . 1 9 6 3 .... 1 9 6 9 _____ 67 7 1 73 72 99 I I I I I I I I | I | j 99 99 56 59 68 18 21 17 18 31 825 879 923 967 1,039 596 575 608 637 676 I | I | 279 298 3 19 330 358 681 7 19 797 775 827 I I j 1 I 937 955 977 995 529 | I I | I 293 258 269 279 302 1965 . . . . 1 9 6 6 .... 1 9 6 7 .... 1968. . . . 1 9 6 9 _____ 119 156 180 193 131 I I 1 I I 87 107 1 16 103 99 32 98 63 39 32 1,119 1,237 1,376 1,976 1,560 732 805 886 951 1,009 I I I | 387 93 1 990 525 55 1 897 999 1,122 1,203 1,268 | i I I | 572 636 706 760 807 I I I I 325 36 3 4 15 993 96 1 1 1 1 1 1 157 125 160 203 269 | I I I I 1 18 96 1 17 198 193 39 28 93 55 7 1 1,667 1,739 1,892 1 , 985 2 , 189 1 1 1 1 1 | | I I I 583 609 639 689 799 1 1 1 1 1 I I I I I 1 9 7 0 .... 9 7 1 .... 9 7 2 .... 9 7 5 .... 9 7 9 _____ ,0 ,1 ,2 ,3 ,9 8 3 0 0 3 3 9 3 0 9 ,3 ,9 ,9 ,6 ,7 5 0 8 0 7 5 5 6 5 8 ____________ L_ 868 905 958 1,039 1,159 987 500 527 565 6 18 I I I 1 ________________ L _ Sector 48. Special industry machinery and equipment: Constant dollars (Millions of 1972 dollars) ------------------------------- r G ross in v e s tm e n t G ross s to c k s Net s to c k s Year T o ta l 1 9 9 7 _____ 1 9 9 8 _____ 1 9 9 9 _____ 1 | I E qu ip m e nt $ 198 85 71 | | I $98 6 1 50 69 72 60 69 6 1 S tr u c tu r e s T o ta l $99 23 20 :quipm ent 1 1 $551 626 688 I | | $286 393 388 I | $269 283 299 23 93 39 32 2 1 766 870 95 1 1,037 1,102 | | | | | 997 5 12 562 620 666 I | | | 3 18 358 33 9 9 17 935 26 19 9 1 29 25 1,175 1,279 1,361 1,909 1,455 I | | | | 7 17 80 1 850 878 902 | j | | j 953 973 5 10 531 552 30 35 28 29 99 1,508 1,561 1,609 1,698 1,720 | | | | | 930 953 973 996 1,027 | | I | 577 607 630 652 693 1950 1951 1952 1953 1959 _____ _____ _____ _____ _____ 87 115 95 102 83 | | | I | | 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ 95 123 119 79 81 | | | I I 68 109 72 55 56 1 9 6 0 _____ 1 9 6 1 _____ 1962. . . . 1 9 6 3 _____ 1 9 6 4 _____ 94 100 10 1 99 136 | | | I | 1 69 65 72 70 87 1965 1966 1967 1968 1969 _____ _____ _____ _____ _____ 158 202 227 17 1 149 I | | | | 109 130 137 1 17 109 98 7 1 90 53 90 1,809 1,938 2,088 2,180 2,245 I | | | | 1,076 1,199 1,216 1,267 1,308 | | I | | 1970 197 1 1972 1973 1979 _____ _____ _____ _____ _____ 167 128 160 196 228 I I I j | 122 97 1 17 195 172 99 30 93 5 1 55 2 2 2 2 2 | | I I | 1,362 1,389 1,939 1,506 1,603 I I | S tr u c tu r e s ,3 ,3 ,9 ,5 ,6 2 6 3 3 6 7 6 5 6 6 | r 1 I | | | | I E quipm ent $999 562 6 19 $260 3 11 398 679 769 839 902 996 397 950 987 530 56 1 I | | I | I S tr u c tu r e s $233 25 1 266 282 3 19 397 37 1 335 | | | | 1 1 1 1 997 ,073 ,139 ,155 ,173 599 66 1 69 1 698 703 | I | | 902 9 12 993 957 969 I I I | 1,200 1,227 1,251 1,270 1,323 7 13 720 73 1 738 76 0 | I I | 986 507 519 53 1 562 732 793 872 9 12 937 | | I | | 1,395 1,507 1,691 1 , 7 15 1,762 965 977 1,000 1,030 1,062 | | I | I 1,825 1,899 1,893 1,973 2,080 __________ L 89 T o ta l 803 865 932 977 1,011 I | | 591 69 1 708 737 751 1 1 1 1 1 I I | | 769 77 1 785 805 830 ,056 ,073 ,107 ,167 ,250 | Sector 49. General industrial machinery and equipment: Historical dollars (Millions of dollars) G ross Equ i p m e n t T o ta l $45 34 33 $65 54 53 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ G ross in v e s tm e n t T o ta l S tr u c tu r e s Equ i p m e n t T o ta l S tr u c tu r e s Net s to c k s $20 20 19 $225 274 321 $135 166 195 $89 108 125 s to c k s S tr u c tu r e s Equ i p m e n t $199 245 287 $78 96 113 200 247 305 358 408 123 152 186 212 227 48 90 109 101 90 35 58 7 1 70 7 1 13 31 37 30 19 364 447 548 640 7 18 226 280 346 409 470 137 167 202 231 248 1955. .. . 1 9 5 6 _____ 1957. . . . 1958. . . . 1 9 5 9 _____ 90 13 1 134 1 15 110 70 93 87 75 83 19 37 46 40 27 795 909 1,024 1,118 1,202 528 608 678 733 791 266 30 1 346 384 4 10 697 794 889 960 1,021 454 519 573 6 11 651 242 274 316 349 370 1 9 6 0 _____ 1 9 6 1 _____ 1 9 6 2 _____ 1963. . . . 1 9 6 4 _____ 123 98 121 125 148 91 75 87 98 1 16 31 22 34 26 31 1 1 1 1 1 94 56 37 16 13 854 895 944 999 1,068 440 460 492 516 544 1,088 1 , 124 1,179 1,232 1,303 694 7 16 747 784 835 393 407 432 448 468 1 9 6 5 ... . 1966 . . . . 1 9 6 7 _____ 1968. .. . 1 9 6 9 _____ 201 272 292 253 265 157 196 20 1 189 207 44 75 90 64 58 1,757 1 , 967 2,191 2,372 2,559 1, 172 1,311 1,450 1,573 1,709 585 656 740 798 849 1,42 1,60 1,80 1,94 2,09 2 5 0 8 9 923 1,044 1 , 165 1,266 1,379 499 560 634 681 720 1970 . . . . 1 9 7 1 .... 1 9 7 2 _____ 1973. .. . 1 9 7 4 _____ 243 246 233 32 1 449 180 187 185 249 326 62 58 47 72 122 2 2 3 3 3 1 , 8 14 1,919 2 , 0 14 2 , 166 2,387 903 952 988 1 , 047 1,156 , 2 19 ,331 , 4 19 ,586 ,869 1,457 1,533 1,598 1 , 7 19 1,907 761 797 820 866 96 1 1950 1951 1952 1953 1954 _____ _____ _____ _____ _____ ,2 ,3 ,4 ,5 ,6 ,7 ,8 ,0 ,2 ,5 18 7 1 03 14 43 323 399 49 1 57 1 636 $121 148 174 2 2 2 2 2 1 Sector 49. General industrial machinery and equipment: Constant dollars (Millions of 1972 dollars) — Gross 1 in v e s tm e n t G ross s to c k s Net Year T o ta l 1 9 4 7 _____ 19 4 8 . . . . 1 9 4 9 .... $142 109 105 Equ i p m e n t S tr u c tu re s $98 63 65 $44 40 40 T o ta l Equ i p m e n t $62 1 7 15 804 $302 336 369 488 576 678 775 865 389 440 500 547 574 9 1 157 183 169 147 64 99 1 17 1 15 112 27 58 66 54 34 878 1,016 1 , 178 1,322 1,440 1 9 5 5 _____ 1956 . . . . 1957. . . . 19 5 8 . . . . 1959. . . . 145 193 192 166 153 110 13 1 1 18 100 107 35 6 1 74 65 45 1,551 1,706 1,856 1, 9 7 3 2,072 948 1,048 1,13 1 1,190 1,250 1 9 6 0 _____ 1 9 6 1 .... 1 9 6 2 _____ 1963. . . . 1 9 6 4 _____ 168 133 16 5 166 194 115 95 109 123 144 52 37 56 42 50 2 2 2 2 2 ,1 ,2 ,3 ,4 ,5 1 1 1 1 1 1 1 1 1 1 9 6 5 _____ 9 6 6 .... 9 6 7 .... 9 6 8 .... 9 6 9 _____ 259 344 36 3 299 298 192 233 234 212 225 67 111 2 2 3 3 3 1 9 7 0 _____ 1 9 7 1 .... 1 9 7 2 ... . 1973. . . . 1974. . . . 259 25 1 233 311 390 188 189 185 244 294 3 3 3 4 4 128 86 72 7 1 6 1 47 66 96 78 42 30 11 14 S tr u c tu r e s $319 379 434 1 9 5 0 _____ 1 9 5 1 .... 1952. . . . 1553. . . . 19 5 4 . . . . _______________ s to c k s \ 602 657 724 783 822 ,311 ,345 ,385 ,433 ,496 867 897 944 978 1,018 ,675 , 9 14 ,166 ,349 ,524 1,601 1,742 1,880 1,992 2,113 1,074 1,172 1,286 1,356 1,411 ,6 ,7 ,8 ,0 ,2 2 2 2 2 2 1,462 1,501 1,523 1,562 1,628 5 6 5 0 3 4 7 4 8 3 ,1 ,2 ,3 ,4 ,6 9 6 3 4 0 1 6 0 6 4 _____________________ 90 | T o ta l | | | | | | | $280 333 380 756 878 1,021 1,144 1,237 423 497 584 663 734 332 38 1 437 480 503 1,322 1,448 1,565 1,648 1 , 7 10 796 873 930 963 997 525 574 634 684 7 13 747 765 300 8 19 845 | 1,77 1,80 1,85 1,90 1,97 9 6 9 7 7 1,031 1,041 1,059 1, 087 1, 132 | | | j 2 2 2 2 2 ,1 ,3 ,5 ,6 ,8 0 1 3 8 1 7 6 5 1 7 1 1 1 1 1 2 2 3 3 3 ,9 ,9 ,0 ,1 ,3 05 74 16 28 09 | | | j __________L S tr u c tu r e s $530 6 16 695 | | | Equi pment $250 282 314 ,221 ,347 ,469 ,563 ,663 886 963 1,065 1,118 1, 154 1 , 7 18 1,767 1,804 1,894 2,025 1, 187 1,207 1 , 2 12 1,234 1,283 / Sector 50. Machine shop products: Historical dollars (Millions of dollars) -------------------------------------------------------------------------------------------- ” G ross in v e s tm e n t - 1 G ross Net s to c k s s to c k s Year T o ta l -------------------------------------1 E qu ip m e nt I T o ta l S tr u c tu r e s I I S tr u c tu r e s Equ i p m e n t T o ta l S tr u c tu r e s E qu ip m e nt I I I I | I | I $3 4 3 06 0 69 77 | I | $39 45 50 $20 24 26 $53 6 1 68 $35 40 44 $ 18 21 24 4 7 7 6 1 1 86 105 127 146 182 | I I I | 56 68 84 97 123 30 36 43 48 59 76 93 1 13 130 163 49 60 7 3 85 108 27 33 39 44 54 31 42 44 54 4 1 I I I I 10 16 18 38 25 221 276 336 424 485 I I I I | 152 19 1 232 283 319 69 85 103 14 1 165 198 249 303 384 437 134 170 207 252 282 64 78 95 132 155 38 40 42 50 64 I I 20 2 1 22 20 17 537 592 648 7 10 781 I I | | I 352 386 421 463 517 185 205 227 247 263 480 523 568 6 16 67 1 307 332 357 389 43 1 172 19 1 210 226 239 857 977 1,135 1,263 1,377 | | | | | 57 1 632 754 858 949 285 344 380 404 427 73 1 833 972 1, 078 1,169 473 52 1 628 7 16 790 257 3 11 343 36 1 3/8 1,461 1,546 1,658 1,835 2,034 | | I | I 447 465 492 526 578 1,228 1,287 1,372 1,521 1,689 837 885 95 1 1,073 1,198 391 40 1 42 1 447 491 1947 . . . . 1948 . . . . 1 9 4 9 _____ $ 13 11 9 $9 6 6 1950 . . . . 1 9 5 1 .... 1952 . . . . 1953. . . . 1 9 5 4 _____ 11 20 24 2 1 39 7 13 16 15 27 1955. . . . 1956 . . . . 1957 . . . . 1958 . . . . 1 9 5 9 --------- 42 58 63 92 66 1960 . . . . 1 9 6 1 .... 19 6 2 . . . . 1 9 6 3 .... 1 9 6 4 _____ 58 62 64 7 1 82 I 1 9 6 5 .... 1 9 6 6 .... 1 9 6 7 .... 19 6 8 . . . . 1 9 6 9 _____ 89 135 177 150 139 66 75 139 124 114 | I | I 23 60 38 25 25 1970 . . . . 1 9 7 1 .... 19 7 2 . . . . 1 9 7 3 .... 1 9 7 4 _____ 1 13 1 18 150 2 18 246 91 97 119 180 189 I I I I I 21 20 30 37 56 I 1 i 1,014 1,081 1 , 166 1,308 1,456 _____________________ ________________ I------- Sector 50. Machine shop products: Constant dollars (Millions of 1972 dollars) — G ross in v e s tm e n t G ross s to c k s Net s to c k s Year T o ta l Equ i p m e n t S tr u c tu r e s T o ta l I Equ i p m e n t S tr u c tu r e s T o ta l I | Equ i p m e n t S tr u c tu r e s I — 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ $33 24 20 $25 16 13 $7 7 7 $ 180 200 216 | | | $ 108 123 134 1 9 5 0 _____ 1 9 5 1 _____ 1 9 5 2 _____ 1 9 5 3 _____ 1 9 5 4 _____ 23 39 44 39 70 15 26 3 1 28 49 8 12 12 11 20 235 269 308 34 1 404 I | j | | 146 169 197 22 1 265 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ 73 92 95 140 99 53 65 65 77 57 19 26 29 63 42 469 552 637 766 853 | I | | | 1960 196 1 1962 19 6 3 1964 _____ _____ _____ _____ _____ 84 90 92 100 111 51 54 56 66 83 33 36 36 33 27 923 997 1,071 1,150 1,237 1965 1966 1967 1968 1969 _____ _____ _____ _____ _____ 120 18 1 220 175 158 85 93 166 14 1 127 35 88 54 34 31 1970 197 1 1972 1973 1974 _____ _____ _____ _____ _____ 120 120 150 210 2 12 95 98 119 175 168 24 21 30 35 44 $7 1 77 82 $ 156 174 186 | I j $96 108 1 16 $59 65 70 89 99 1 10 120 138 20 1 231 264 292 349 | | | | | 125 145 168 187 227 76 86 96 104 12 1 313 37 1 429 496 543 156 180 208 270 310 406 481 556 673 746 I I I | | 268 320 369 427 464 138 16 1 187 245 282 I | | I | 582 622 662 7 10 772 34 1 375 409 439 464 80 1 858 9 13 972 1,038 I | I I | 49 1 5 18 544 578 625 309 339 369 394 4 13 1,331 1,481 1,667 1,803 1,918 I I I | | 834 900 1,035 1,14 1 1,229 496 58 1 632 662 689 1,109 1,236 1,396 1,505 1,591 | I I | | 670 720 837 925 994 438 5 16 558 579 596 1,989 2,056 2,147 2,293 2,456 | | | | | 1 1 1 1 1 708 724 748 775 810 1,633 1,669 1,730 1,846 1,957 | I I | | 1 , 027 1,058 1,107 1,207 1,294 606 6 11 623 639 662 ________________I____ 91 ,281 ,331 ,398 ,517 ,625 Sector 51. Office and computing machines: Historical dollars (Millions of dollars) G ross G ross in v e s tm e n t Net s to c k s s to c k s Year T o ta l 1 9 4 7 _____ 1 9 4 8 --------1 9 4 9 _____ Equ i p m e n t T o ta l S tr u c tu r e s Equi pment $38 32 30 $26 24 22 $11 8 7 $ 154 182 207 S tr u c tu r e s T o ta l Equi pment S tr u c tu r e s $83 104 124 $70 77 82 $131 156 178 $73 93 109 $57 63 68 1950 1951 1952 1953 1954 _____ _____ ----------------_____ 22 40 36 46 41 17 18 25 34 52 4 22 11 12 9 223 257 286 323 353 138 152 17 1 198 221 85 105 1 14 125 131 190 219 242 273 297 119 128 142 164 182 71 90 99 109 1 15 1955 1956 1957 1953 1959 _____ _____ _____ _____ _____ 46 90 16 1 85 65 36 53 79 55 51 9 36 82 29 14 386 46 1 606 674 721 247 287 352 392 426 139 173 254 28 1 294 323 392 529 537 620 202 237 296 328 352 121 155 233 258 268 1960 196 1 1962 1963 1964 _____ _____ _____ _____ _____ 90 1 10 107 120 1 10 66 85 9 1 98 90 23 25 16 22 20 790 876 956 1,044 1,117 474 537 602 67 1 726 3 16 339 353 373 391 675 745 807 877 931 389 440 492 546 588 286 305 3 15 330 342 1965 1966 1967 1968 1969 _____ . . . . ----------------_____ 169 199 193 198 342 14 1 149 149 162 268 27 50 44 36 74 1,245 1,399 1,542 1,685 1, 966 829 936 1,038 1,148 1,359 416 463 504 536 607 1,038 1, 168 1,235 1,398 1,645 676 765 848 936 1,121 362 403 437 46 1 523 1970 197 1 1972 1973 1974 _____ _____ --------_____ _____ 356 310 287 282 378 268 232 2 16 229 314 88 77 71 52 63 2,254 2,486 2,686 2,870 3 , 137 1,563 1,723 1,858 1,997 2,208 69 1 763 827 873 928 1,893 2,030 2,230 2,360 2,569 1,295 1,420 1,516 1,611 1,777 598 660 714 748 791 ______________________ Sector 51. Office and computing machines: Constant dollars (Millions of 1972 dollars) G"oss investm e i t G ross Year T o ta l Equ i p m e n t S tr u c tu re s T o ta l Equ i p m e n t 1 9 4 7 _____ 1 9 4 8 .... 1 9 4 9 .... $68 54 50 $43 38 34 $25 16 15 1 9 5 0 _____ 1 9 5 1 .... 1 9 5 2 .... 1 9 5 3 .... 19 5 4 . . . . 35 66 54 69 60 25 25 34 46 44 9 41 20 22 15 505 555 59 1 638 673 1 9 5 5 _____ 1956 . . . . 1 9 5 7 .... 1958. . . . 1 9 5 9 .... 65 127 224 1 14 84 48 66 94 6 6 59 17 60 130 48 24 1 1 1 1 1 9 6 0 _____ 9 6 1 .... 9 6 2 _____ 9 6 3 .... 9 6 4 . ___ 1 16 140 132 149 137 77 98 106 114 105 1 1 1 1 1 9 6 5 _____ 9 6 6 .... 9 6 7 _____ 9 6 8 _____ 9 6 9 _____ 205 243 228 225 377 1 9 7 0 _____ 1 9 7 1 .... 1 9 7 2 .... 1 9 7 3 .... 1974 . . . . 380 3 16 287 276 347 s to c k s $410 450 486 Net S tr u c tu r e s T o ta l s to c k s Equi pment S tr u c tu r e s $152 184 213 $258 266 272 $328 364 395 232 249 274 307 335 273 305 3 17 330 338 408 450 478 516 543 198 207 223 249 269 2 10 242 254 267 274 7 1 1 809 1,003 1, 035 1,136 364 409 48 1 523 557 347 399 522 562 579 574 664 848 9 17 952 292 330 394 427 450 28 1 333 453 490 502 39 41 26 35 32 1 1 1 1 1 7 8 6 7 0 606 673 742 815 874 6 10 645 664 691 715 1 , 0 15 1,097 1, 165 1,243 1,303 486 540 595 654 6 98 528 557 569 589 605 163 169 165 176 285 42 73 62 48 91 1,736 1,916 2,076 2,228 2,525 986 1,101 1,208 1,322 1,537 749 8 14 867 906 987 1,426 1,579 1,707 1,823 2,081 795 893 979 1, 0 6 8 1,257 630 685 728 755 824 279 235 216 227 297 100 8 1 7 1 49 50 2 3 3 3 3 1,740 1,889 2 , 0 10 2,13 1 2,310 2 2 2 2 2 1 1 1 1 1 ,2 ,3 ,4 ,5 ,5 ,8 ,0 ,2 ,3 ,5 1 1 0 0 9 16 34 12 66 77 _______ _________ 92 1,076 1, 145 1,201 1,234 1,266 ,3 ,4 ,6 ,7 ,8 27 93 17 13 64 $ 132 16 1 185 ,4 ,5 ,6 ,6 ,8 2 3 2 9 3 7 9 0 9 3 _________ $ 195 210 899 953 996 1,013 1,031 Sector 52. Service industry machines: Historical dollars (Millions of dollars) G ross Equ i p m e n t T o ta l 1947 . . . . 1948 1 9 4 9 _____ 19 5 0 195 1 IQS? 1g m 1954! ! . . 1 9 5 5 --------1 9 5f t 1957 19S8 1 9 5 9 --------196 0 1 9 ft 1 196? 1 <3ft 5 1 9 6 4 --------1 9f t 5 1 9ftft 1967 1968 . . 1 9 6 9 _____ 197 0 1 9 7 4 _____ S tr u c tu r e s T o ta l Net s to c k s S tr u c tu r e s Equi pment Equi pment S tr u c tu r e s $63 8 1 9 1 131 153 170 196 235 100 1 18 128 143 16 6 437 485 "516 « 25 537 26 1 292 308 3 11 3 16 175 193 208 213 22 1 266 275 290 304 317 553 573 589 604 6 18 321 335 34 1 347 352 232 237 248 257 265 497 550 6 10 669 731 339 380 427 486 525 657 742 838 943 1,030 375 424 478 53 1 586 282 3 18 359 4 11 443 800 900 1,042 1 , 180 1,346 581 624 663 721 775 1, 139 1,264 1,425 1,595 1 , 786 647 7 36 86 5 986 1,131 $30 35 22 $16 20 12 $ 156 207 237 $78 1 10 130 $78 96 107 32 49 40 55 78 20 28 27 36 51 12 21 13 18 26 264 308 342 389 458 147 173 196 227 272 116 135 146 162 186 53 69 54 35 41 4 1 47 35 25 28 12 22 19 10 13 502 560 60 1 623 648 305 343 368 381 395 196 216 233 241 252 47 53 53 52 53 31 42 35 36 37 16 11 18 15 16 676 708 736 762 786 410 433 446 458 469 80 127 142 154 140 55 82 91 9 1 95 25 45 51 63 44 836 930 1, 038 1, 155 1,256 62 50 47 66 63 1,381 1,524 1,706 1,901 2 , 121 104 137 181 180 210 T o ta l stocks $69 100 1 17 $47 56 34 167 187 229 246 274 1 97 1 1972 . . . 1975.. G ross in v e s tm e n t $132 182 208 232 27 1 299 340 402 492 527 559 609 655 ______________________ Sector 52. Service industry machines: Constant dollars (Millions of 1972 dollars) G ross in v e s tm e n t G ross s to c k s Net s to c k s Year T o ta l 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ $103 112 68 Equ i p m e n t $67 7 1 42 S tr u c tu re s T o ta l Equi pment S tr u c tu r e s T o ta l Equ i p m e n t S tr u c tu r e s $36 41 25 $474 569 621 $ 188 252 289 $285 3 16 332 $376 469 5 16 666 735 783 853 959 3 19 359 394 440 509 346 375 388 4 12 450 554 6 14 652 7 1 1 805 279 31 1 335 37 1 429 275 303 3 16 339 376 $ 162 224 255 $214 245 26 1 1 9 5 0 _____ 1 9 5 1 _____ 1 9 5 2 _____ 1 9 5 3 _____ 1 9 5 4 _____ 6 1 86 67 92 131 37 48 43 58 83 24 38 23 33 47 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ 86 104 77 50 58 64 67 47 33 37 22 37 29 17 2 1 1,018 1,093 1,140 1 , 157 1, 180 555 602 628 637 647 462 49 1 5 1 1 520 532 851 9 12 94 1 94 1 944 464 499 5 11 506 50 1 386 4 12 430 434 443 1960 196 1 1962 1963 1964 _____ _____ _____ _____ _____ 66 7 1 73 7 1 7 1 39 53 44 46 46 26 18 29 25 25 1 1 1 1 1 ,207 ,234 ,259 ,278 ,295 655 673 678 68 1 682 551 560 581 597 6 13 953 963 973 979 985 496 5C3 499 496 493 456 460 474 483 49 1 1965 1966 1967 1968 1969 _____ _____ _____ _____ _____ 107 165 180 189 160 68 99 107 103 105 38 66 73 85 55 1 1 1 1 1 ,345 ,452 ,571 ,697 ,792 704 754 812 864 9 18 641 697 759 832 874 1,024 1,119 1,228 1,341 1,422 511 560 6 15 665 7 15 512 559 6 12 676 707 1970 197 1 1972 1973 1974 _____ _____ _____ _____ _____ 181 191 229 238 241 109 138 18 1 176 191 7 1 52 47 6 1 49 1,905 2,027 2 , 183 2,346 2,507 975 1,060 1, 187 1,307 1,439 930 966 996 1,038 1,067 1,520 1,624 1,760 1,898 2,033 766 844 960 1,066 1 , 180 753 780 799 832 852 93 _________ Sector 53. Electric transmission equipment: Historical dollars (Millions of dollars) Gross Gross investm ent Net stocks stocks Year To ta l Equipm ent !“ I S tru c tu re s Equipm ent T o tal I I 6 1 108 1 15 125 124 42 67 72 86 88 I I I I I 18 4 1 42 38 36 621 708 80 1 902 999 1955. . . . 1956 . . . . 1957 . . . . 1958 . . . . 1 9 5 9 _____ 1 16 138 163 1 13 12 1 62 108 105 78 83 I 53 29 57 34 37 1, 085 1,19 1 1,319 1,394 1,473 I 9 6 0 . . . . 1 9 6 1 .... 19 6 2 . . . . 1 9 6 3 .... 1 9 6 4 _____ 140 147 136 123 137 94 97 102 95 105 45 50 34 28 31 1 1 1 1 1 1 9 6 5 .... 1 9 6 6 .... 1967 . . . . 1968 . . . . 1 9 6 9 --------- 195 267 355 332 347 153 19 1 231 205 242 1970 . . . . 1 9 7 1 .... 19 7 2 . . . . 1 9 7 3 .... 1 9 7 4 _____ 3 11 258 252 320 403 231 200 194 24 1 289 $80 85 60 1 9 5 0 .... 1 9 5 1 .... 1952 . . . . 1953. . . . 1 9 5 4 _____ I I I I i I I 1 I I | | | | I I Equipm ent T o ta l S tru c tu re s $360 423 459 $267 28 1 287 $207 259 293 $475 540 580 $22 25 17 $58 59 42 1947 . . . . 1948 . . . . 1 9 4 9 _____ I I 494 575 659 749 834 284 334 386 448 507 210 24 1 273 30 1 326 641 728 809 860 9 11 444 462 509 534 562 906 996 1,105 1,160 1,216 537 609 672 704 734 368 386 433 456 482 1,287 1,358 1,413 1,450 1,496 77 1 806 84 1 865 895 5 15 55 1 57 1 584 600 598 640 666 685 709 42 76 123 126 105 1,998 2 , 189 2,462 2,708 2,964 1,254 1,377 1,536 1,664 1,826 743 811 926 1, 043 1/138 1,59 1,75 2,00 2,21 2,43 79 58 58 79 113 3 3 3 3 3 1,973 2,083 2,181 2 , 3 19 2,4 9 6 1 1 1 1 1 2 , 6 13 2,722 2 , 8 15 2,964 3 , 183 8 4 5 5 8 $ 181 196 203 293 322 352 379 403 968 1,022 1,076 1,118 1,165 7 3 7 7 4 $ 178 226 256 I I S tru c tu re s 328 386 448 522 596 ,567 ,662 ,742 ,804 ,875 ,1 ,3 ,4 ,6 ,9 I ,2 ,2 ,2 ,3 ,4 0 5 9 5 5 5 0 4 6 1 4 9 5 9 9 969 1, 077 1,219 1,329 1,470 625 682 785 889 969 1,591 1,672 1>7 38 1,841 1,983 1,021 1,050 1,076 1,122 1,200 __________ Sector 53. Electric transmission equipment: Constant dollars (Millions of 1972 dollars) 1 Gross r- investm e Gross Year T o tal Equi pment S tru c tu re s T o ta l stocks Equ i p m e n t Net S tru c tu re s 1 9 4 7 _____ 1 9 4 8 .... 1 9 4 9 .... $163 163 1 12 $114 111 76 1 9 5 0 _____ 1 9 5 1 .... 1 9 5 2 .... 19 5 3 . . . . 19 5 4 . . . . 1 12 182 189 203 200 74 106 1 13 134 135 37 76 76 68 65 1,723 1,827 1,937 2,057 2,1 7 1 666 752 842 949 1,052 1 1 1 1 1 1 9 5 5 _____ 1956 . . . . 1957 . . . . 1958 . . . . 1 9 5 9 .... 190 197 228 159 16 7 93 148 136 102 105 96 49 9 1 57 62 2 2 2 2 2 ,27 1 ,375 ,507 ,567 ,631 1,108 1 , 2 13 1,301 1,349 1,393 1, 163 1,162 1,205 1,217 1,238 1 9 6 0 _____ 1 9 6 1 .... 19 6 2 . . . . 1 9 6 3 .... 19 6 4 . . . . 194 204 183 164 181 117 121 127 1 19 130 76 83 55 44 50 2 2 2 2 2 ,7 ,8 ,8 ,9 ,9 1,442 1,488 1,532 1,561 1,596 1 9 6 5 _____ 1 9 6 6 .... 1 9 6 / . . . . 1968 . . . . 1969. .. . 25 1 342 443 402 397 186 230 269 230 266 64 1 12 174 171 131 3,092 3,300 3,606 3,867 4 , 120 1 9 7 0 _____ 1 9 7 1 .... 1 9 7 2 .... 1 9 7 3 .... 1 9 7 4 .... 334 265 252 3 10 354 243 204 194 236 265 90 61 58 73 89 4 4 4 4 4 $48 5 1 35 | _________ _________ 1 $1,570 1,654 1,688 1 0 7 1 7 $46 1 553 6 11 8 9 5 7 1 ,305 ,4 1 6 ,5 0 6 ,645 , 8 18 94 $1,108 1,100 1,077 ,056 ,075 ,094 ,108 ,119 T o ta l 1 stocks Equ i p m e n t $1,090 1,179 1,215 1,24 9 1,35 1 1,455 1,568 1,673 $389 475 523 S tru c tu re s $70 1 703 691 566 635 706 793 873 683 7 15 748 775 800 1,762 1,854 1,971 2 , 0 13 2,057 905 986 1,048 1,069 1,087 857 1,275 1,321 1,342 1,355 1,374 2 2 2 2 2 , 123 ,193 ,237 ,258 ,291 1,111 1,134 1,158 1,170 1,191 1,011 1 , n 59 1,682 1,807 1,967 2,086 2,237 1 1 1 1 1 , 4 10 ,493 ,638 ,781 ,883 2 2 2 3 3 ,3 ,5 ,8 ,0 ,3 9 7 5 8 0 1 6 5 5 2 1,264 1,377 1,525 1,629 1,762 2 2 2 2 2 1, 943 1, 972 1,996 2,032 2,0 8 1 3 3 3 3 3 ,4 ,5 ,5 ,6 ,7 4 0 4 3 5 4 7 7 4 4 1,865 1,921 1,959 2,030 2,122 ,362 ,444 , 5 10 , 6 13 ,737 868 9?? 943 970 1,078 1,087 1, 100 1,126 1,330 1,456 1,539 1 , 578 1 T 586 1f 588 1 , 6 A5 1,632 Sector 54. Household appliances: Historical dollars (Millions of dollars) — Gross in v e s t m e n t — — Net s t o c k s Gross stocks Year 1 I Total Equipment I Structures Total Structures Equ ip m ent Total I I Equipment 1947 ... . 1948 ... . 1 9 4 9 ____ $75 70 55 1 | I $51 44 35 I | | $24 25 19 $27 1 332 378 $ 133 173 204 $ 137 158 174 $22 3 282 324 I I | $ 1 17 155 182 1950 ... . 195 1 ____ 1 9 5 2 ---1953. .. . 1954 ____ 56 80 54 86 97 35 97 38 59 66 424 494 537 6 10 69 1 235 276 303 359 4 14 139 2 17 228 250 277 365 428 46 1 523 593 I | I | | 208 242 266 306 351 77 99 75 44 56 | | | I | I | I I I I 20 32 15 26 31 1955. .. . 1956 ____ 1957 ... . 1958 ____ 1959 ____ | | | I | 1 | | I I I 20 30 23 7 16 750 827 878 896 922 456 508 540 554 568 293 3 19 338 342 354 639 703 739 740 750 | | | | | 382 422 44 1 442 444 1960 ____ 1961.... 1962. .. . 1963 ... . 1 9 6 4 ---- 60 46 49 72 78 47 40 40 57 59 I | | I 12 6 8 14 19 950 958 966 994 1 , 025 586 593 596 6 13 630 363 365 370 380 395 76 1 754 749 765 785 | I I I | 450 446 44 1 452 464 1965. .. . 1966. .. . 1 967 ____ 1968. .. . 1 969. .. . 121 1 12 126 125 152 | I | I I 1 I I I | | 10 1 84 90 95 122 I | | I | 20 28 36 30 29 1,096 1,157 1,230 1,301 1,396 686 724 767 815 889 4 10 433 463 486 507 847 898 960 1,018 1,100 I I | | I 5 17 552 591 633 700 | j | I 52 31 34 43 61 1,503 1,569 1,655 1,765 1,900 952 997 1,060 1 , 140 1,227 55 1 572 595 625 673 1,190 1,238 1,305 1,395 1,508 I | I I | I 754 788 838 903 974 1970. .. . 1971.... 1972. .. . 1973 ____ 1974 ____ 57 68 51 36 39 166 | 128 I 152 I 180 I 210 I ____________ I___ 113 97 1 18 137 148 _ I | Structures $ 106 127 142 I | 157 185 195 2 16 241 l | I j | I I | 256 280 297 297 305 I | 3 10 308 307 3 12 320 330 346 369 335 399 I 1 | | I I I | | ___| _ 436 450 467 49 1 533 Sector 54. Household appliances: Constant dollars (Millions of 1972 dollars) Gross Year Total investment Equipment 1947 ____ 1 9 4 8 ____ 1 9 4 9 ____ $ 15 1 131 103 $98 81 62 1950 ____ 195 1 ____ 1 9 5 2 ____ 1 9 5 3 ---1 9 5 4 ____ 102 133 86 137 154 59 73 59 89 98 1 9 5 5 ____ 1956 ____ 1957 ____ 1 9 5 8 ____ 1 9 5 9 ____ 121 143 103 58 76 83 92 65 46 49 1960 ____ 196 1 ____ 1 9 6 2 ____ 1963 ____ 1 9 6 4 ____ 80 59 64 94 102 58 49 50 71 72 1 9 6 5 ____ 1966 ____ 1967 ____ 1 9 6 8 ____ 1969 ____ 152 14 1 154 146 170 121 100 103 105 133 1970 ____ 197 1____ 1 9 7 2 ____ 1973 ____ 1 9 7 4 ____ 178 131 152 174 184 1 18 98 1 18 134 136 Gross stocks I I Structures I | 1 I | I | | I I | | | | | I | | I I | | | | | Total Equ i p m ent $52 50 40 $806 904 975 42 60 27 47 56 1, 044 1,144 1,195 1,293 1,404 456 517 56 1 632 706 37 50 37 12 26 1,477 1,568 1,6 16 1,6 17 1,631 21 10 13 23 30 1,645 1,632 1,6 19 1,633 1,652 31 41 51 40 36 1,720 1,776 1,844 1,903 1,984 59 32 34 39 48 2,07 1 2,108 2, 163 2,236 2,314 $288 357 408 95 Net Structures $517 547 566 Total stocks Equi p m ent Structures $6 15 7 12 778 $246 3 12 357 $368 400 42 1 587 627 634 66 1 697 840 930 967 1,050 1, 145 395 444 473 527 586 444 485 494 522 559 76 1 82 1 849 855 860 7 15 747 766 76 1 77 1 1,201 1,275 1,304 1,284 1,278 623 666 677 665 653 577 609 626 6 18 625 868 86 1 850 856 860 776 77 1 769 777 792 1,272 1,242 1,215 1,2 17 1,227 646 627 609 6 11 6 15 625 6 14 605 606 6 12 913 944 979 1,016 1,081 807 83 1 865 886 903 1,287 1,334 1,392 1,439 1,507 668 700 734 770 831 6 18 633 657 669 675 1 , 130 1 , 158 1,204 1,265 1,325 940 949 958 970 989 1,579 1,599 1,637 1,693 1,753 874 894 931 98 1 1 , 027 704 704 706 7 12 726 _________ Sector 55. Electric wiring and lighting equipment: Historical dollars (Millions of dollars) Gross Year i I Total 1 9 4 7 ____ 1948.... 1 9 4 9 ____ Gross stocks investment Equipment i I Structures r I $38 34 29 | | | $27 24 21 | | I $10 9 8 | I I 1950 ____ 1951.... 1 9 5 2 ____ 1953. .. . 1 9 5 4 ____ 37 47 39 53 36 | I | | | 29 30 25 36 29 | | | | 8 16 13 16 7 1955. .. . 1956 ... . 1957 ____ 1 9 5 8 ____ 1 9 5 9 ____ 53 50 55 43 48 | I | | | 36 40 39 33 37 | I | | | 16 io 15 9 1960 ____ 196 1 ____ 1 9 6 2 ____ 1963 .... 1 9 6 4 ____ 54 51 57 63 74 | | | I I 41 39 45 47 56 111 i I I | | 1 9 6 5 ____ 1966 ... . 1 967 ____ 1968 ... . 1 969. .. . 120 13 1 135 14 1 1 970. .. . 197 1 ____ 1 9 7 2 ____ 1 9 7 3 ____ 1 9 7 4 ____ 132 | 126 | 162 | 207 | 252 I __ |___ Total Equipment | I | $86 108 126 I I I | | 240 I 281 I 3 14 j 360 I 389 | 152 180 202 235 26 0 11 | | I i i 434 475 519 550 584 | | | | | 291 324 356 380 406 | | | | 13 12 11 15 17 I I I | 623 656 693 733 782 I | I i | 79 92 97 103 1 12 | I | | | 32 27 34 31 29 | 866 956 1,056 1,156 1,261 97 94 122 151 187 I I | 34 31 40 56 65 I | | 1 1,354 1,439 1,557 1,718 1,920 | | j $157 185 209 1 I Net 1 1 Structures Total stocks Equipment I Structures $7 1 77 82 $ 126 154 175 $75 96 1 12 I I | $51 57 62 87 10 1 111 124 128 204 242 270 3 11 333 136 160 177 205 224 j | I | 68 81 92 105 109 I | 142 150 163 170 178 37 1 404 440 460 484 248 274 297 3 12 328 I | | I | 123 130 142 148 155 433 457 485 511 545 | | I i | 189 199 208 22 1 237 5 11 534 559 588 626 347 362 380 399 424 i | | | | 164 172 178 189 20 1 | I | | | 600 665 733 805 884 | | | 266 29 1 323 35 1 37 6 699 778 864 95 1 1, 040 472 529 589 652 720 | | j I | 227 248 275 299 3 19 | | | | | 947 1,005 1,089 1,199 1,343 | | I | 406 433 468 5 18 576 1,116 1,18 1 1,278 1,415 1,591 I | I | | | I | 77 1 815 883 976 1,100 | | I 344 365 394 439 49 1 Sector 55- Electric wiring and lighting equipment: Constant dollars (Millions of 1972 dollars) Gross Total 1947 . 1948. 1949. 1950 . 1951 . 1952. 1953. 1954. 1955. 1956 . 1957 . 1953. 1959. 1960 . 196 1. 1962. 1963. 1964. 1965 . 1966 . 1967. 1968. 1969 . 1970 . 197 1. 1972. 1973. 1974. I I I 1 1 1 1 1 | 1 1 i 1 1 1 1 1 1 1 1 1 1 1 investment Equipment $85 I 71 I 59 | 1 73 I 83 I 68 | 92 I 62 I $6 1 52 43 56 52 44 63 49 Gross I Structures I | | 1 $23 18 16 16 50 24 29 12 90 77 80 62 68 | | I I | 59 59 55 46 50 I | j | 1 I I I I I 76 72 78 87 10 1 I I I I | 54 52 60 62 73 | I I | 21 20 18 25 28 151 156 166 16 1 160 I | | | | 102 115 1 17 1 18 124 I | | | 48 40 49 42 36 143 129 162 199 218 I | I I | 104 96 122 147 167 I I | stocks Equipment I I | 1 1 1 1 11 1 Net | Structures Total stocks Equipment I Structures $500 548 586 I I | $221 265 30 0 | I | $ 278 233 285 I I | $372 421 458 $ 188 230 262 $ 184 191 195 637 699 745 815 853 I I | I I 349 394 430 483 522 I I | I I 287 304 3 15 331 331 I | | | | 506 563 603 664 692 305 342 369 4 11 437 200 220 234 252 254 j | | | 349 354 368 373 381 | | | | 745 782 820 835 854 470 500 523 533 544 274 28 1 296 302 310 | 394 405 4 15 432 452 j | | | 878 895 9 15 942 980 557 564 577 590 6 12 321 330 338 351 367 30 17 24 15 18 1 1 1 1 1| 9 17 966 1,017 1,047 1,080 | | I j I 568 6 11 648 673 698 1 1 1,118 1,149 1,182 1,221 1,271 | | I I | 724 744 767 789 818 1,368 1,467 1,574 1,674 1,772 | | | | | 874 940 1,007 1,073 1,144 | | | | 493 526 567 60 1 627 I | | | | 1,066 1,154 1,249 1,336 1,419 662 722 783 843 906 404 431 466 493 512 1,851 1,914 2,008 2 , 136 2,279 I I I | I 1,194 1,234 1,300 1,338 1,495 I | I | | 657 679 707 747 784 | | | | 1,480 1,524 1,596 1,701 1,819 945 974 1,026 1,099 1, 187 534 549 570 602 631 39 33 40 52 51 1 1 11 1 1 1 | 1 1 1 96 | Sector 56. Radio, TV, and communication equipment: Historical dollars (Millions of dollars) Gross Net Gross stocks investment; stocks Y ear I | Tot a l Structures Equipment Total Equipment T I Structures $ 174 20 1 228 I | $ 127 145 162 2 15 24 1 275 3 15 333 439 507 590 698 739 264 306 356 426 450 | | I | 175 200 233 272 288 I | | | 359 4 16 497 57 1 620 800 908 1 , 068 1,178 1,278 487 54 1 623 663 720 | | I I | 3 12 366 444 5 14 557 | I | I | 670 74 1 800 859 906 1,389 1,499 1,6 16 1,754 1,870 789 835 902 99 1 1,071 I | | 960 1,090 1,208 1,321 1,446 2,06 1 2 , 364 2,676 2 , 973 3,3 C 6 1,220 1,407 1,618 1,819 2,045 | | I | | 1,564 1,636 1,7 19 1,8 16 1,913 3,559 3,3 0 3 4,024 4,313 4,625 $207 239 27 1 I I $ 165 184 20 1 18 31 39 45 23 529 605 698 819 874 313 363 423 503 54 0 I I | | | 72 93 127 90 112 31 62 86 79 53 950 1,075 1,254 1,386 1,509 59 1 659 757 8 14 889 | | I | | 129 1 14 139 169 168 55 76 63 64 52 1,646 1,784 1 , 930 2,100 2,250 976 1,042 1,129 1,240 1,344 ... . ... . ... . ... . ____ 304 427 450 450 504 | | | | | 243 290 325 329 369 60 136 125 120 134 2,477 2,820 3,179 3,529 3,926 1,516 1,729 1,970 2,208 2,479 1970 ... . 1971.... 1972. .. . 1973 ... . 1974. .. . 445 457 457 549 597 I I I | I 3 17 373 360 437 48 1 128 83 97 112 115 4,253 4,576 4 , 884 5,263 5,669 2,6 8 8 2,940 3 , 164 3,447 3 , 755 $84 64 64 I | | $57 41 42 1950 ____ 1951 ... . 1 9 5 2 ____ 1953. .. . 1954 ____ 71 93 112 142 79 i I I I | 52 62 72 96 55 1 9 5 5 ____ 1956 ____ 1957 ____ 1 9 5 8 ____ 1 9 5 9 ____ 103 155 213 170 166 I | | | | 1960 ____ 1961.... 1962 . .. . 1 9 6 3 ____ 1 9 6 4 ____ 184 190 203 234 220 1965 1966 1967 1968 1969 $26 23 22 I I Structures Equipment $30 1 347 39 1 $373 423 473 1 9 4 7 ____ 1 9 4 3 ____ 1 9 4 9 ____ Total | 600 664 7 14 763 798 | I j | 840 956 1,058 1,154 1,260 | i 2,202 I 2 , 396 | 2,557 | 2 , 774 3,014 I ________________ I— 1,357 1,406 1,466 1,538 1,611 Sector 56. Radio, TV, and communication equipment: Constant dollars (Millions of 1972 dollars) Gross Year Total --------------------------------- r Gross stocks investment 1 Equipment 1 Structures ________________ 1 Total Equ ip m ent Structures I I Net Total I stocks Equipment r | Structures 1947 ____ 1 9 4 8 ____ 1949. .. . $ 155 1 13 1 12 $97 67 66 I | | $58 46 46 $1,0 5 7 1, 126 1,193 $4 17 464 509 $6 3 9 66 1 684 I | | $80 3 866 925 | | | $ 343 382 4 17 I I | 1950 ... . 1 9 5 1 ____ 1 9 5 2 ____ 1953. .. . 1954. .. . 1 19 146 172 2 16 119 80 88 102 136 76 | I | | 38 57 69 80 43 1,266 1,363 1,484 1,645 1,706 566 630 704 308 848 699 733 779 837 857 | | | | | 988 1,073 1,180 1,326 1,368 | I I I | 464 5 15 575 664 686 I I I | 523 553 605 662 68 1 1 9 5 5 ____ 1956 ____ 1957 ____ 1958 ____ 1 9 5 9 ____ 156 22 1 292 239 22 1 100 1 18 155 109 134 I i | | 55 103 137 130 87 1,798 1,951 2, 170 2,3 3 2 2,47 1 908 980 1, 084 1,136 1,209 890 97 1 1,086 1,195 1,261 | | I j 1,442 1,576 1,774 1,910 2,022 | | | | | 729 783 869 902 954 j | | 7 13 792 904 1,008 1,068 1960 ____ 1961.... 1 9 6 2 ____ 1 963 ____ 1964. .. . 244 262 270 305 282 152 135 166 20 1 200 I I | | 91 126 104 104 82 2,627 2,796 2,969 3,169 3,34 1 1,294 1,357 1,445 1,562 1,671 1,332 1,439 1,523 1,607 1,669 I | | j | 2,1 5 0 2,288 2,426 2,591 2,724 I | | | | 1,019 1,061 1,128 1,223 1,310 | | I | 1,130 1,226 1,298 1,367 1,4 13 1 9 6 5 ____ 1 966 ____ 1967 ... . 1 9 6 8 ____ 1 9 6 9 ____ 383 542 546 529 563 290 342 369 365 397 | | I I | 92 200 176 163 166 3,605 4,0 2 2 4,4 3 5 4,823 5,237 1,864 2,1 0 2 2,362 2,6 10 2,8 8 3 1,741 1,919 2,073 2,213 2,354 | I | | | 2,947 3 , 318 3,677 4,001 4,3 4 0 | | | | | 1,480 1,692 1,919 2,129 2,3 5 4 I | | | 1,467 1,625 1,757 1,871 1,985 1 970 ____ 197 1 ____ 1 9 7 2 ____ 1 9 7 3 ____ 1 9 7 4 ____ 480 465 457 536 540 334 377 360 432 450 | | | I | 145 87 97 103 90 5,555 5,84 1 6, 102 6,4 19 6,7 17 3,081 3,310 3,505 3,7 5 3 3,9 9 9 2 , 473 2,531 2,597 2,665 2 , 718 | | I | 4,572 4,7 6 6 4,929 5,148 5,346 I I | | I 2,497 2 , 664 2 , 794 2,976 3,1 5 5 I 2 , 075 2,102 2,1 3 5 2,17 1 2 ,19 1 97 __________ L $460 483 507 Sector 57. Electronic components and accessories: Historical dollars (Millions of dollars) — G ross G ross in v e s tm e n t Net s to c k s s to c k s Year — Equ i p m e n t T o ta l S tr u c tu re s Equ i p m e n t To ta 1 S tr u c tu r e s T o ta l Equi pment $63 66 70 $50 54 58 $77 82 87 $66 70 74 172 187 206 231 277 95 103 1 14 129 16 1 77 83 92 102 116 137 150 167 190 233 76 82 91 104 134 6 1 67 75 85 98 17 31 29 20 31 326 395 457 522 628 195 235 27 1 318 394 13 1 160 186 204 233 278 344 400 457 554 165 202 233 275 344 113 14 1 166 182 210 1 15 1 12 1 19 129 147 36 42 36 46 65 768 909 1,049 1,209 1,401 500 600 707 822 95 1 268 308 342 386 449 682 808 930 1,067 1,232 440 529 620 717 825 242 279 309 349 407 264 395 374 330 404 196 304 274 248 322 67 90 99 8 1 81 1,64 2,00 2,34 2,63 2,98 1 7 6 5 9 1,126 1,405 1,648 1,857 2 , 134 514 602 698 777 855 1,441 1,770 2,065 2,302 2,598 1 1 1 1 974 ,222 ,429 ,596 ,825 466 548 636 705 772 359 338 344 629 786 289 246 287 508 629 70 9 1 57 121 156 3 3 3 4 5 0 8 0 1 3 2,368 2,550 2,760 3 , 176 3,6 9 8 921 1,008 1, 059 1,175 1,324 2 3 3 3 4 2 2 2 2 3 ,0 ,1 ,2 ,6 ,0 1947 . . . . 1948. . . . 1 9 4 9 _____ $19 15 15 $ 12 8 9 $7 6 6 $ 143 152 162 1950 . . . . 1 9 5 1 .... 1 9 5 2 _____ 1 9 5 3 _____ 1 9 5 4 _____ 16 21 26 32 54 11 13 15 20 38 5 8 10 12 16 1 9 5 5 _____ 1 9 5 6 _____ 1 9 5 7 _____ 1958. . . . 1 9 5 9 --------- 57 78 7 1 75 1 17 40 47 42 55 85 1 9 6 0 _____ 1 9 6 1 _____ 1 9 6 2 .... 1 9 6 5 _____ 1 9 6 4 _____ 151 154 155 176 212 1965 1966 1967 1968 1969 _____ . . . . _____ _____ _____ 1 9 7 0 _____ 1 9 7 1 .... 1 9 7 2 _____ 1 9 7 3 _____ 1 9 7 4 _____ ,2 ,5 ,8 ,3 ,0 9 5 2 5 2 _______ $ 1 13 12 1 129 S tr u c tu r e s ,8 ,0 ,2 ,6 ,2 3 2 1 6 4 2 7 0 0 2 0 2 7 2 7 5 6 2 2 2 826 900 938 1,037 1, 169 __________ __________ Sector 57. Electronic components and accessories: Constant dollars G"oss in v e s tm e n t G ross s to c k s Net Year T o ta l 1 9 4 7 _____ 1948 . . . . 1 9 4 9 .... Equ i p m e n t S tr u c tu r e s T o ta l Equ i p m e n t S tr u c tu r e s T o ta l s to c k s Equi pment S tr u c tu r e s $40 29 29 $25 16 16 $15 12 13 $454 465 476 $ 189 197 205 $265 267 27 1 $344 352 359 $ 152 156 160 $ 192 195 199 1950 1951 1952 1953 1954 _____ _____ _____ _____ .. . . 30 37 43 54 88 19 21 24 32 59 10 15 19 22 29 486 503 525 556 621 214 225 237 257 302 27 1 277 287 299 3 19 366 379 398 426 488 166 173 182 198 240 200 206 216 228 247 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ 92 1 18 102 104 163 6 1 66 56 72 110 31 52 46 32 52 689 783 859 938 1,074 349 399 439 494 587 340 383 4 19 443 486 552 64 1 7 11 781 906 283 330 365 4 13 497 268 310 346 367 408 1960 196 1 1962 1963 1964 _____ _____ _____ _____ _____ 206 214 210 239 290 145 143 151 164 186 60 70 59 75 103 1,252 1,436 1 , 6 14 1,819 2,071 7 13 836 964 1, 102 1,260 538 600 650 7 17 8 11 9 6 5 _____ 9 6 6 .... 9 6 7 _____ 9 6 8 _____ 9 6 9 _____ 349 504 465 392 456 245 37 1 323 281 354 104 133 142 1 10 102 2 2 3 3 3 ,3 ,8 ,2 ,5 ,9 7 3 4 7 5 8 4 4 2 4 1,472 1,804 2,08 1 2,309 2,600 1 9 7 0 _____ 1 9 7 1 _____ 1 9 7 2 _____ 1 9 7 3 _____ 1 9 7 4 . ___ 387 348 344 6 10 694 307 251 287 498 572 79 96 57 1 12 122 4 4 4 5 5 ,2 ,5 ,7 ,2 ,7 56 06 36 15 58 2,833 2,998 3 , 184 3,565 4,00 1 1 1 1 1 1 98 1,0 1,2 1,3 1,5 1,7 70 35 90 67 86 6 12 720 830 946 1,077 457 515 560 621 708 906 1,030 1 , 162 1,262 1,354 2 2 2 3 3 ,0 ,4 ,8 ,0 ,3 53 63 16 80 91 1,258 1,553 1,786 1,963 2,197 795 909 1,030 1,117 1, 193 1 1 1 1 1 3 3 3 4 4 ,6 ,7 ,9 ,3 ,7 13 75 15 00 45 2 2 2 2 3 1,245 1,311 1,335 1,413 1,497 ,422 ,507 ,551 ,650 ,757 ,3 ,4 ,5 ,8 ,2 6 6 7 8 4 7 4 9 7 8 Sector 58. Miscellaneous electrical machinery: Historical dollars (Millions of dollars) G ross G ross in v e s tm e n t Net s to c k s s to c k s Year T o ta l T o ta l S tr u c tu r e s Equi pment Equi pment S tr u c tu r e s T o ta l Equ i p m e n t S tr u c tu r e s $27 32 35 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 --------- $23 29 19 $ 16 22 15 $7 6 4 $88 1 14 130 $53 74 87 $35 40 42 $75 100 114 $47 67 78 1 9 5 0 _____ 1 9 5 1 _____ 1 9 5 2 _____ 1 9 5 3 _____ 1 9 5 4 --------- 17 39 4 1 39 35 13 23 25 23 28 3 16 16 15 7 144 180 2 17 25 1 28 1 99 120 142 163 187 45 59 74 88 93 126 158 192 222 246 88 106 125 142 16 1 1955 1956 1957 1958 1959 _____ --------_____ --------_____ 33 43 26 22 24 28 35 21 17 19 5 8 4 5 5 308 345 362 375 389 2 10 240 254 263 273 97 104 107 111 1 15 268 298 308 313 319 179 203 212 214 218 88 94 96 99 10 1 1 9 6 0 _____ 1 9 6 1 _____ 1 9 6 2 --------1 9 6 3 _____ 1 9 6 4 _____ 29 33 39 37 42 24 23 31 29 33 5 9 8 8 9 406 425 448 469 492 286 297 314 326 342 120 128 134 142 150 329 340 356 369 386 224 229 24 1 248 260 104 1 10 1 15 12 1 126 1 9 6 5 _____ 1 9 6 6 _____ 1967 . . . . 1968. .. . 1 9 6 9 _____ 55 64 104 1 10 96 39 52 72 82 72 15 11 32 27 23 526 569 649 735 804 362 395 445 505 554 164 173 204 229 250 414 450 524 602 662 276 305 352 407 45 0 137 144 172 194 21 1 1970 . . . . 1 9 7 1 _____ 1 9 7 2 _____ 1 9 7 3 _____ 1 9 7 4 _____ 1 10 95 93 173 257 87 7 1 73 133 204 22 24 20 39 53 887 953 1,015 1 , 156 1,377 6 17 662 709 8 14 987 270 290 306 342 390 506 543 579 672 83 1 227 244 257 289 333 __________ _______ 734 788 836 96 1 1, 164 _______ __________ 37 52 66 80 85 Sector 58. Miscellaneous electrical machinery: Constant dollars (Millions of 1972 dollars) r G ross in v e s tm e n t G ross ------------------------------------------------------------------------------------------------------- Net s to c k s s to c k s Year T o ta l E quipm ent I I S tr u c tu r e s I | T o ta l I | :qi/i pm ent S tr u c tu r e s To ta l Equi pment S tr u c tu r e s I 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ $48 56 36 $33 43 27 I I $15 12 8 I I $245 293 319 | | | $ 1 19 159 183 $126 133 136 $196 242 265 $104 142 162 $92 99 103 1950 1951 1952 1953 1954 _____ _____ _____ _____ _____ 31 67 68 64 56 24 37 40 37 43 I I | | | 6 29 28 26 12 I | | | I 341 3 98 456 509 552 | | | | | 203 236 270 30 1 337 138 162 185 207 2 15 283 335 387 432 467 177 205 233 256 284 105 130 153 175 182 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ 52 63 35 30 33 42 49 28 22 25 I | I | 9 13 7 8 8 I | | I I 589 636 652 663 674 I | | | | 369 407 421 428 435 219 228 231 235 239 4 95 531 537 537 537 308 337 34 1 338 336 186 194 195 198 200 1 9 6 0 _____ 1 9 6 1 _____ 1 9 6 2 _____ 1 9 6 3 _____ 1 9 6 4 _____ 39 45 52 50 56 30 30 39 36 41 9 15 '2 14 14 I I I I I | j | 689 707 729 747 769 | | | | | 444 451 465 472 484 244 256 264 275 285 54 1 549 562 572 587 337 336 344 347 355 203 2 12 2 18 225 231 I | I | 806 849 940 1,030 1,098 | | | | | 50 1 532 582 640 684 304 317 358 389 413 6 16 653 738 820 879 370 398 446 502 542 246 254 29 1 3 17 336 1 1 1 1 1 | | | | | 944 985 1,020 1 , 125 1,285 594 623 650 732 865 350 362 369 392 420 1965 1966 1967 1968 1969 _____ _____ _____ _____ _____ 72 so 129 130 109 49 63 83 92 79 | I | I | 23 17 46 37 29 1970 197 1 1972 1973 1974 _____ _____ _____ _____ _____ 118 97 93 168 227 92 72 73 131 185 I I | I | 25 25 20 37 41 _____________________ 1___ | I ,1 ,2 ,2 ,3 ,5 73 27 75 96 74 741 777 813 906 1,052 _______ L______________ 1____ 99 432 449 46 1 489 521 Sector 59. Motor vehicles: Historical dollars (Millions of dollars) — G ross Equ i p m e n t T o ta l G ross in v e s tm e n t S tr u c tu re s 3 4 5 5 5 ,833 ,639 ,057 ,111 , 163 2 3 3 3 3 ,7 ,3 ,7 ,7 ,7 2 6 1 3 6 7 9 9 7 7 1, 106 1,269 1,338 1,373 1,396 1,705 1,783 1,891 2,005 2,160 5 5 5 5 6 ,2 ,3 ,4 ,6 ,0 79 20 10 26 56 3 3 3 3 4 ,8 ,8 ,8 ,9 ,2 2 0 1 4 4 5 9 4 2 5 1,454 1,510 1,596 1,684 1,811 ,095 ,604 ,901 , 167 ,557 2 2 2 3 3 ,4 ,7 ,9 ,0 ,2 6 7 7 8 8 ,7 ,4 ,8 ,1 ,6 9 2 1 0 0 4 5 5 5 5 ,7 ,1 ,3 ,5 ,8 0 3 5 4 5 0 8 6 2 2 2 2 2 2 2 ,0 ,2 ,4 ,5 ,7 8 9 5 6 5 9 1 3 7 6 7,870 8,043 9,493 10,628 12,211 3 3 3 3 4 ,440 ,558 ,68 1 ,899 , 150 6,087 6 , 186 7,567 8,605 10,060 2 2 3 3 3 ,8 ,9 ,0 ,2 ,4 6 4 2 0 0 9 5 5 1 8 3 3 4 4 4 ,2 ,9 ,3 ,4 ,6 0 2 6 9 3 4 0 4 2 5 1 8 8 0 3 3 2 9 8 5 4 4 4 5 5 ,8 ,8 ,9 ,2 ,5 0 9 9 0 7 8 9 7 3 5 332 26 1 227 184 264 8,564 9,3 0 8 9,8 0 4 10,222 10,842 6 6 6 7 7 195 162 172 272 310 1 1 1 1 1 2 2 3 3 4 ,3 ,7 ,0 ,4 ,0 4 0 4 2 2 1 9 5 5 .... 1 9 5 6 _____ 1 9 5 7 _____ 1958. .. . 1 9 5 9 _____ 57 1 1,008 655 322 349 457 8 16 555 255 292 1 14 19 1 100 67 56 4 5 5 6 6 ,4 ,3 ,9 ,0 ,2 1960 . . . . 1 9 6 1 .... 1 9 6 2 _____ 1 9 6 3 _____ 1 9 6 4 _____ 444 396 470 6 14 846 349 300 343 480 669 95 96 127 133 176 6 6 6 7 7 ,5 ,6 ,8 ,2 ,7 1,169 1,101 87 1 8 17 1,046 837 840 643 632 781 732 620 1,921 1,625 2,087 927 783 2,094 1,898 2,398 1,283 1,456 1,538 1,588 1,628 7 7 3 1 4 52 133 149 63 10 1 1 9 7 0 _____ 1 9 7 1 .... 1 9 7 2 _____ 1 9 7 3 _____ 1 9 7 4 _____ 664 776 902 94 1 1 , 0 18 8 7 0 8 6 207 28 1 262 397 585 _____ . . . . _____ _____ _____ 1,319 1,519 1,684 1,968 2,423 8 13 928 1,059 1,104 1, 187 259 4 14 4 11 46 1 687 1,310 1,601 3,174 4,527 6,362 S tr u c tu r e s 1 , 984 2,295 2,586 2,910 3,44 1 1,535 1,776 1 , 989 2,325 2,835 1 9 5 0 _____ 1 9 5 1 _____ 1 9 5 2 _____ 1 9 5 3 .... 1 9 5 4 _____ Equ i p m e n t $588 624 632 9 5 9 9 3 $280 335 18 1 T o ta l _______ s to c k s $862 1,090 1,181 $728 766 778 $1,732 2,014 2 , 143 1 9 4 7 .... 1 9 4 8 .... 1 9 4 9 _____ 1965 1966 1967 1968 1969 S tr u c tu r e s $1,003 1,247 1,364 $75 56 29 $204 278 151 Equ i p m e n t T o ta l Net s to c k s __________ 6 0 0 5 8 $1,451 1 , 7 14 1 , 8 14 8 3 2 5 4 1 0 9 0 9 9 8,957 9,131 10,592 11,806 13,468 __________ Sector 59. Motor vehicles: Constant dollars (Millions of 1972 dollars) — G ross in v e s tm e n t G ross s to c k s Net Year T o ta l Equi pment S tr u c tu re s T o ta l Equ i p m e n t S tr u c tu r e s T o ta l Equi pment 1 9 4 7 _____ 1 9 4 8 _____ 1949. . . . $621 680 357 $454 568 297 $166 111 59 $ 5 , 151 5,646 5 , 8 19 1 9 5 0 _____ 1951 . . . . 1952. . . . 1953. . . . 1954 . . . . 499 722 703 764 1,113 390 476 437 650 929 109 246 265 113 184 6,135 6,664 7 , 154 7,679 8,526 3 3 4 4 5 ,442 , 8 10 ,118 , 6 13 ,358 2,692 2,853 3,035 3,066 3 , 168 4 5 5 6 6 1 9 5 5 _____ 1956 . . . . 1 9 5 7 _____ 1 9 5 8 _____ 1959. . . . 921 1,468 908 446 474 713 1, 150 750 335 379 207 318 158 110 94 1 1 1 1 9 , 157 0,315 0,898 0,996 1,091 5 6 7 7 7 ,8 ,7 ,2 ,3 ,4 6 8 8 5 2 2 3 6 0 6 3 3 3 3 3 ,2 ,5 ,6 ,6 ,6 94 32 11 45 64 7,46 8,49 8,92 8,85 8,7 6 1 9 6 0 _____ 1 9 6 1 _____ 1 9 6 2 _____ 1 9 6 3 .... 1 9 6 4 _____ 600 540 642 823 1,116 158 160 208 215 279 1 1 1 1 1 1,269 1,339 1,462 1,726 2,255 7 7 7 7 7 ,5 ,5 ,4 ,6 ,9 2 0 9 2 5 2 8 9 6 5 3 3 3 4 4 ,7 ,8 ,9 ,0 ,2 47 31 62 99 99 1 1 1 1 1 9 6 5 _____ 9 6 6 .... 9 6 7 _____ 9 6 8 _____ 9 6 9 _____ 1,544 1,396 1,069 960 1, 185 1,033 1,012 748 7 10 858 510 383 320 249 326 13,190 13,963 14,392 14,692 15,190 8,4 6 3 8,939 9 , 138 9,285 9,558 4 5 5 5 5 ,7 ,0 ,2 ,4 ,6 2 2 5 0 3 7 3 3 7 2 1 1 1 1 1 1 9 7 0 _____ 1 9 7 1 _____ 1 9 7 2 .... 1 9 7 3 _____ 1 9 7 4 _____ 992 7 98 2,094 1,846 2,123 770 627 1,921 1,593 1,88 1 221 170 172 252 242 15 15 16 17 19 9 , 7 18 9 , 7 11 10,982 11,917 13,135 5 5 5 5 6 ,7 ,8 ,8 ,9 ,0 4 0 5 7 8 7 3 3 6 4 1 1,865 11,824 13,066 14,019 15,212 44 1 380 434 607 837 ,4 ,5 ,8 ,8 ,2 6 1 3 9 1 $2,483 2,952 3 , 151 5 4 6 4 9 $2,668 2,693 2,668 $4,105 4,566 4,687 ,9 ,3 ,7 ,1 ,9 3 7 7 9 4 s to c k s $2,088 2,523 2,668 $2,016 2,043 2 , 0 18 2 7 1 8 5 2 3 3 3 4 ,8 ,1 ,3 ,7 ,4 8 7 8 8 3 9 1 5 6 6 2 2 2 2 2 ,0 ,2 ,3 ,4 ,5 43 05 85 12 08 4 9 7 0 5 4 5 6 5 5 ,8 ,6 ,0 ,9 ,8 3 4 0 1 3 6 3 7 5 4 2 2 2 2 2 ,6 ,8 ,9 ,9 ,9 27 55 20 34 31 8,7 6 8 8,6 7 8 8,666 8,821 9,255 5 5 5 5 5 ,7 ,6 ,5 ,5 ,8 8 3 2 7 5 0 5 4 6 0 2,987 3,042 3 , 142 3,244 3,405 0 0 1 1 1 6 6 6 6 7 ,3 ,7 ,8 ,9 ,1 11 37 81 71 93 ,102 ,779 ,103 ,296 ,690 7,306 7,260 8,50 1 9,378 10,510 __________ 100 S tr u c tu r e s 3 4 4 4 4 ,7 ,0 ,2 ,3 ,4 9 4 2 2 9 1 2 2 4 7 4 4 4 4 4 , , , , , 5 6 6 4 0 8 3 4 0 2 5 5 5 6 7 Sector 60. Aircraft and parts: Historical dollars (Millions of dollars) G ross T o ta l G ross in v e s tm e n t S tr u c tu r e s Equ i p m e n t S tr u c tu r e s Equ i p m e n t T o ta l Net s to c k s s to c k s S tr u c tu r e s Equ i p m e n t T o ta l $887 889 890 $470 462 452 890 ,012 , 184 ,306 ,390 446 485 528 575 6 19 $416 427 437 $1,030 1,055 1,076 $567 576 581 $462 479 495 17 92 14 1 89 56 1,096 1,236 1,427 1,569 1,675 587 638 692 749 802 508 597 735 820 872 125 20 1 222 129 128 78 146 174 77 73 1,828 2,121 2,459 2,602 2,735 882 1,036 1,206 1,280 1,349 945 1, 0 85 1,252 1,321 1,385 1,520 1,789 2,0 9 7 2,2 0 6 2,30 1 689 832 989 1,046 1,096 831 957 1,108 1,160 1,204 179 227 292 295 264 124 150 189 192 205 54 77 102 102 59 2 2 3 3 3 ,8 ,9 ,1 ,3 ,5 4 8 9 8 4 0 6 0 7 5 1 1 1 1 1 1,4 1,4 1,5 1,6 1 ,7 2 2 2 2 2 ,3 ,4 ,6 ,7 ,8 64 65 21 69 75 1 1 1 1 1 5 3 2 5 4 1,228 1,272 1,339 1,403 1,421 1 9 6 5 _____ 1 9 6 6 _____ 1967. .. . 1968. .. . 1 9 6 9 --------- 312 685 799 625 668 206 415 547 464 479 105 270 252 16 1 188 3 4 4 5 5 ,7 ,3 ,9 ,4 ,9 4 0 7 5 6 2 5 3 6 9 1, 9 46 2,26 1 2,70 1 3,051 3,406 1,79 2,04 2,27 2,40 2,56 6 4 1 4 2 3 3 4 4 4 ,0 ,5 ,1 ,5 ,9 2 2 2 3 5 0 6 9 4 9 1,537 1,820 2,223 2,523 2,821 1,482 1,705 1,906 2,010 2,137 1 9 7 0 _____ 1 9 7 1 .... 1 9 7 2 _____ 1 9 7 3 _____ 1 9 7 4 --------- 4 13 237 199 284 320 293 197 163 217 257 120 39 35 66 63 6 6 6 6 6 ,2 ,2 ,2 ,2 ,3 1 6 5 9 5 3 2 0 7 3 3 3 3 3 3 2 2 2 2 2 9 2 7 9 4 5 5 4 4 4 , , , , , 0 4 3 8 5 4 8 3 4 5 2 2 2 2 2 2,192 2 , 163 2 , 126 2,118 2 , 103 1 9 4 7 .... 1948. .. . 1 9 4 9 _____ $34 49 50 $22 29 30 1 9 5 0 _____ 1 9 5 1 _____ 1952. . . . 1 9 5 3 _____ 1 9 5 4 _____ 53 177 231 186 152 36 84 89 96 95 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ 203 348 396 207 20 1 1960 196 1 1962 1963 1964 _____ _____ _____ _____ _____ $11 20 20 , 4 10 ,492 ,607 ,718 ,834 ,5 ,6 ,6 ,6 ,6 63 10 03 28 68 ,6 ,6 ,6 ,6 ,6 29 94 82 69 10 4 5 4 6 8 1 1 1 1 1 0 9 8 8 ,1 ,1 ,2 ,3 ,4 ,9 ,8 ,8 ,7 ,7 3 9 8 6 5 444 526 655 731 77 1 11 85 06 65 51 Sector 60. Aircraft and parts: Constant dollars (Millions of dollars) G ross in v e s tm e n t G ross s to c k s Net s to c k s Year T o ta l Equi pment S tr u c tu r e s T o ta l n | $3,123 3,149 3,163 I I I | | $1,398 1,400 1,391 E qu ip m e nt $72 95 96 $47 56 56 $24 39 40 1950 1951 1952 1953 1954 _____ _____ _____ _____ _____ 100 307 395 3 14 25 1 64 136 142 154 149 35 17 1 252 160 102 3 3 3 3 3 ,1 ,3 ,6 ,8 ,9 71 77 63 61 90 | I | | j 1,379 1,432 1,483 1,540 1,586 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ 332 52 1 569 296 287 190 277 293 169 166 142 243 276 126 121 4 4 4 5 5 ,1 ,5 ,9 ,1 ,2 9 7 9 2 5 0 0 0 9 2 | | I I j 1,668 1,831 2,005 2,051 2,091 1 9 6 0 _____ 1 9 6 1 _____ 1962. .. . 19 6 3 . . . . 1 9 6 4 _____ 248 3 16 406 403 347 156 188 238 237 253 91 128 167 165 93 5 5 5 5 6 ,3 ,4 ,6 ,8 ,0 26 61 76 78 13 I | | | | 2,119 2 , 175 2,277 2,374 2,482 1965 1966 1967 1968 1969 414 890 991 739 760 252 494 636 521 527 162 396 355 217 232 6,207 6,867 7,616 8,101 8,591 | I | I | 2,586 2,930 3,410 3,769 4 , 123 442 24 1 199 275 283 305 199 163 213 233 136 4 1 35 6 1 49 8 8 8 8 8 | | | | | 4,242 4,24 1 4 , 182 4,149 4,1 1 2 1 9 7 0 _____ 1 9 7 1 _____ 1 9 7 2 _____ 1 9 7 3 _____ 1 9 7 4 _____ ,7 ,6 ,5 ,4 ,3 4 7 4 5 4 5 8 3 6 9 S tr u c tu r e s T o ta l E qu ip m e nt 1 S tr u c tu r e s b 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ _____ _____ --------_____ _____ I | | I | | | I | | __________ _______ L_________ L 10 1 $1,724 1,748 1,772 $2,669 2,635 2,594 $1,148 1,110 1,066 1,791 1,945 2,179 2,321 2,403 2 2 2 3 3 ,5 ,7 ,9 ,0 ,1 5 0 4 9 7 0 8 7 7 7 1 1 1 1 1 2 2 2 3 3 ,5 ,7 ,9 ,0 ,1 2 3 8 7 6 2 9 5 7 0 3 3 4 4 4 ,3 ,6 ,0 ,1 ,1 3 6 3 2 9 2 7 9 4 2 1,2 1,3 1,5 1,5 1,6 3 3 3 3 3 ,2 ,2 ,3 ,5 ,5 0 8 9 0 3 7 6 8 3 0 4 4 4 4 4 ,2 ,2 ,4 ,5 ,6 0 8 3 7 5 9 5 9 9 3 1 1 1 1 1 3,6 3,9 4,2 4,3 4,4 2 3 0 3 6 0 7 6 1 7 4 5 6 6 6 ,7 ,3 ,0 ,4 ,8 8 7 5 5 5 3 9 5 5 2 4 4 4 4 4 0 3 6 0 3 2 7 1 6 6 6, 6, 6, 6, 6, ,5 ,4 ,3 ,3 ,2 904 732 499 324 145 ,025 ,053 ,085 ,125 ,158 $1,520 1,524 1,527 I | I | 1,5 1,6 1,8 1,9 2,0 24 54 62 72 19 30 86 53 89 18 I I 2 2 2 2 2 ,1 ,2 ,4 ,5 ,5 0 8 8 3 7 ,632 ,672 ,756 ,832 ,918 I I I | 2 2 2 2 2 ,5 ,6 ,6 ,7 ,7 76 12 83 47 34 1,996 2,310 2,752 3,0 6 0 3,354 I I | | | 2 3 3 3 3 ,7 ,0 ,3 ,3 ,4 8 6 0 9 9 3 3 3 3 3 ,4 ,3 ,1 ,1 ,0 04 28 98 02 17 I _______ __________L 3, 3, 3, 3, 3, 1 0 5 4 3 6 8 3 5 7 500 404 300 22 1 128 Sector 61. Other transportation equipment: Historical dollars (Millions of dollars) G ross G ross in v e s tm e n t Net s to c k s s to c k s Year I T o ta l Equ i p m e n t S tr u c tu r e s T o ta l E quipm ent r I S tr u c tu r e s T o ta l Equ i p m e n t S tr u c tu r e s I 1 9 9 7 _____ 1 9 9 8 _____ 1 9 9 9 _____ 1950 1951 1952 1953 1959 $26 92 25 $95 69 36 _____ _____ _____ _____ _____ 11 18 22 22 17 920 930 950 96 1 97 1 902 9 12 927 939 444 56 89 100 8 1 79 39 96 53 95 90 16 93 97 35 39 98 1 1,022 1, 073 1,109 1,128 959 969 990 50 1 508 30 28 21 26 35 1,151 1,168 1,178 1,199 1,292 515 521 525 537 561 598 669 720 77 1 848 6 1 59 59 1 1 1960 196 1 1962 1963 1969 _____ _____ --------_____ _____ 73 68 60 72 95 92 90 39 96 60 1965 1966 1967 1968 1969 _____ _____ _____ _____ _____ 1 17 158 152 158 228 73 107 87 88 116 93 51 65 69 111 1,307 1,912 1,510 1,613 1,783 27 1 237 366 3 13 903 159 123 2 11 180 256 116 113 155 132 197 1,995 2,169 2,968 2,709 3,036 1 9 7 0 _____ 1 9 7 1 .... 1 9 7 2 _____ 1 9 7 3 _____ 1 9 7 9 _____ $37 1 397 403 19 30 38 3 1 37 31 99 1 9 5 5 _____ 1 9 5 6 _____ 1 9 5 7 _____ 1 9 5 8 _____ 1959. .. . $896 926 927 $19 22 1 1 1 1 _____________________ 962 ,092 ,206 ,337 ,539 $525 529 523 $692 7 15 708 $300 318 317 $392 396 390 517 5 18 522 527 527 6 99 697 7 11 7 16 721 310 3 12 321 321 326 389 385 389 395 395 527 552 583 602 620 728 766 8 15 899 869 332 395 369 375 380 395 921 950 968 989 635 697 652 662 681 883 897 900 916 952 387 391 393 903 929 996 505 506 5 12 527 708 792 790 892 935 1,008 1,109 959 525 570 680 599 578 621 667 759 1,033 1 , 126 1,261 1,372 1,997 1,627 1,778 2,053 2,269 2,556 782 897 995 1,105 1,283 895 931 1,057 1,158 1,273 I I | | | | | | i | | | | I | I I | I 1,191 6 12 1,280 1,939 ________________________ L _ Sector 61. Other transportation equipment: Constant dollars (Millions of 1972 dollars) G ross in v e s tm e n t G ross s to c k s Net s to c k s Year I T o ta l Equ i p m e n t S tr u c tu r e s T o ta l | $3 3 2 0 06 00 1 938 | | | $903 939 937 Equi pm ent S tr u c tu r e s T o ta l Equi pment S tr u c tu r e s _______________ I________________ 1 9 9 7 _____ 1 9 9 8 .... 1 9 4 9 _____ | | | $95 125 69 $53 8 1 97 1950 1951 1952 1953 1954 _____ _____ --------_____ _____ I I | | | 58 83 100 89 88 39 99 6 1 99 56 23 33 39 39 32 2 2 2 2 2 86 1 807 769 7 17 662 | | | | | 920 916 920 908 900 1 990 1 89 1 1 899 1 808 1 762 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ | I I | | 89 139 193 1 16 107 59 63 69 57 5 1 30 7 1 79 58 56 2 2 2 2 2 605 592 588 558 522 | | i i | 890 88 1 876 859 837 I960 1961 1962 1963 1964 _____ _____ _____ _____ _____ | | | I | j 103 97 82 100 129 52 50 98 58 73 50 97 39 9 1 55 2 2 2 2 2 989 993 392 362 364 | | | I | 1965 1966 1967 1968 1969 --------_____ _____ _____ _____ | | | | | 156 202 193 193 269 89 127 10 1 98 126 66 75 91 99 138 2 2 2 2 2 396 978 55 1 627 774 1970 1971 1972 1973 1979 _____ _____ _____ --------_____ | I I I i 295 295 366 30. 0 398 162 125 21 1 17 7. 232 132 119 155 122 115 2 3 3 3 3 950 075 319 993 712 _______________ 1____ ___________ _____________________ $9 1 93 22 $2 2 2 103 062 000 $2 2 2 20 1 188 1 19 $ 7 17 738 722 $1,983 1,950 1,397 2 037 1 980 1 990 1 889 1 839 690 672 669 693 628 1,396 1,307 1,276 1,296 1 , 2 10 1 7 15 1 7 11 1 7 11 1 698 1 685 1 79 1 1 790 1 80 1 1 786 1 765 6 17 6 10 6 10 600 586 1, 179 1, 180 1,190 1, 185 1, 179 816 796 777 770 781 1 1 1 1 1 667 697 6 15 592 583 1 1 1 1 1 792 7 16 677 658 670 575 563 551 551 567 1 , 167 1 , 153 1, 126 1,107 1,102 | | | | | 810 879 929 967 1,038 1 1 1 1 1 586 598 627 659 736 1 1 1 1 2 709 795 870 999 086 600 669 712 750 8 13 1,109 1, 125 1, 158 1,193 1,273 | I | I | 1 1 1 1 1 1 807 1 866 1 960 2 022 2 077 2 2 2 2 2 255 369 599 755 953 909 962 1,096 1,190 1,333 , 193 ,209 ,358 ,970 ,635 ________I____ ________________ _________ 102 1 1 1 1 1 ,3 ,9 ,5 ,5 ,6 4 0 0 6 1 6 6 2 5 9 Sector 62. Professional and scientific instruments: Historical dollars (Millions of dollars) G ross in v e s tm e n t G ross s to c k s Net s to c k s Year r~ ~ i T o ta l 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ I E qu ip m e nt I S tr u c tu re s T o ta l Equ i p m e n t S tr u c tu r e s T o ta l $32 36 29 | I | $23 24 20 | $8 11 9 $110 145 173 $87 1 10 129 $22 34 44 $105 137 162 | Equ i p m e n t S tr u c tu r e s $80 10 1 116 $25 36 45 1950 1951 1952 1953 1954 _____ _____ _____ _____ _____ 43 59 49 53 50 | | | I | 29 35 34 31 33 I | I | 13 23 15 22 16 213 269 315 363 406 156 188 2 18 244 271 57 so 96 1 18 135 197 247 286 326 360 139 167 191 2 10 230 58 80 95 115 130 1955 1956 1957 1958 1959 --------_____ _____ _____ _____ 64 87 88 69 89 | | I | | 36 49 52 46 67 | j | I | 27 37 36 22 21 46 1 538 6 14 669 74 1 299 338 378 411 462 162 199 235 25S 279 407 473 537 580 639 250 282 314 337 379 156 190 223 242 260 1960 196 1 1962 1963 1964 _____ _____ _____ _____ _____ 10 1 122 119 98 99 I I | | | 72 69 77 67 67 I | | | | 29 52 42 3 1 32 824 925 1,021 1,092 1, 162 5 15 564 6 18 659 697 308 360 402 433 464 707 792 87 1 924 974 422 460 503 531 557 284 332 368 392 4 16 1965 1966 1967 1968 1969 --------_____ _____ _____ _____ 116 134 144 152 170 I | | | | 77 84 96 96 110 I I I I 38 49 48 56 60 1,2 1,3 1,4 1,5 1,6 742 79 1 849 903 967 50 1 548 594 647 703 1,036 1,111 1,192 1,277 1,374 590 626 67 1 7 12 764 445 484 521 564 609 1970 197 1 1972 1973 1974 _____ _____ _____ _____ _____ 183 183 209 259 293 | I | i | 123 127 139 173 211 60 55 69 85 82 1,80 1 1,926 2,073 2,264 2,484 759 808 87 1 949 1,022 1,479 1,577 1,694 1,855 2,042 | | I | 4 4 4 5 7 4 0 3 0 0 1,041 1,117 1,201 1,315 1,462 824 885 952 1,048 1, 175 654 692 742 807 866 ________________ l___ Sector 62. Professional and scientific instruments: Constant dollars (Millions of 1972 dollars) G ross in v e s tm e n t G ross s to c k s Net s to c k s Year T o ta l E qu ip m e nt I S tr u c tu re s 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ $66 7 1 56 $48 47 37 | | $ 18 23 19 1950 1951 1952 1953 1954 _____ _____ _____ _____ _____ 80 100 8 1 88 8 1 52 57 53 49 51 | | | I 27 43 27 39 29 1955 1956 1957 1958 1959 --------_____ _____ _____ _____ 105 130 125 96 122 55 69 63 60 86 | I | 1 9 6 0 _____ 1 9 6 1 _____ 1 9 6 2 _____ 1963. .. . 1 9 6 4 _____ 138 174 166 133 134 89 86 96 82 83 1965 1966 1967 1968 1969 _____ _____ _____ _____ _____ 154 172 18 1 184 194 94 100 1 12 108 119 1970 197 1 1972 1973 1974 _____ _____ _____ _____ _____ 196 187 209 249 256 127 128 139 169 191 T o ta l Equ i p m e n t $248 3 17 37 1 S tr u c tu r e s T o ta l E qu ip m e nt I I S tr u c tu re s $193 237 270 $55 80 100 $24 1 304 349 $175 214 241 I i $66 89 108 447 542 6 17 694 762 317 368 4 13 450 487 129 174 203 244 274 4 15 498 557 620 67 1 280 320 354 380 404 | | I | | 135 177 203 239 266 50 6 1 57 36 36 851 962 1,065 1,136 1,229 525 574 6 19 652 709 325 388 446 483 520 743 836 9 19 969 1,041 430 466 498 519 562 I I | 312 369 420 450 479 | I | | | 48 87 69 5 1 50 1,334 1,470 1,595 1,682 1,766 765 8 15 87 1 909 945 568 655 724 773 82 1 1,124 1,238 1,338 1,401 1,459 605 642 685 7 11 734 | 59 72 69 76 74 1,865 1,979 2,096 2,212 2,333 988 1,034 1,088 1, 134 1, 190 877 945 1,008 1,077 1,143 1,532 1 , 6 19 1,709 1,797 1,889 765 799 842 877 920 69 58 69 79 64 2 2 2 2 2 1 1 1 1 1 1,202 1,248 1,304 1,367 1,413 1, 978 2,0 5 1 2,139 2,26 1 2,383 | I | | I , , , , , 4 5 6 8 9 5 5 7 3 9 3 8 9 6 3 ,250 ,309 ,375 ,468 ,579 1 1 1 1 958 ,013 ,064 ,142 ,236 | I | I | | I | ____________ L_ 103 5 18 595 652 690 725 767 820 867 920 969 1,009 1, 037 1, 075 1,119 1,146 Sector 63. Photographic and optical goods: Historical dollars (Millions of dollars) G ross T o ta l 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ G ross in v e s tm e n t Equi pment S tr u c tu r e s $30 4 1 33 $20 29 24 $9 11 9 $198 237 268 S tr u c tu r e s Equ i p m e n t T o ta l Net s to c k s T o ta l Equ i p m e n t $186 220 245 $72 83 92 $126 154 176 s to c k s S tr u c tu r e s $116 140 157 $69 80 88 1950 1951 1952 1953 1954 _____ _____ _____ _____ _____ 27 31 34 44 50 21 21 21 31 36 5 10 12 12 14 292 319 346 382 422 194 211 227 25 1 277 97 107 119 13 1 145 262 28 1 300 328 359 169 180 189 206 226 92 100 110 121 133 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ 50 60 62 56 57 36 4 1 43 38 40 14 18 19 18 16 461 509 556 596 635 302 331 360 383 406 159 177 195 2 12 228 390 428 465 495 522 245 268 290 305 32 1 144 160 175 189 20 1 1960 196 1 1962 1963 1964 _____ _____ _____ _____ _____ 70 67 73 94 62 46 44 53 73 54 24 23 20 21 7 684 728 775 842 873 433 456 485 532 559 251 272 290 309 3 14 560 593 630 685 705 340 356 379 420 440 220 237 250 264 264 1965 1966 1967 1968 1969 _____ . . . . . . . . _____ _____ 1 17 174 249 246 2 19 87 1 10 151 151 160 30 64 98 94 58 341 40 1 495 585 638 777 904 1, 100 1,287 1,440 490 562 670 774 881 287 342 430 513 559 1970 197 1 1972 1973 1974 . . . . _____ _____ _____ _____ 253 211 233 317 440 15 1 131 187 226 309 102 79 46 90 130 1,619 1,748 1,889 2,104 2,430 972 1,037 1,149 1,292 1,508 __________ 1 1 1 1 6 16 696 815 93 1 1, 055 958 ,098 ,310 ,517 ,694 1 1 1 1 1 1,902 2,063 2,240 2,494 2,864 ,167 ,255 ,394 ,566 , 8 14 734 807 845 928 1,049 __________ 647 711 739 8 11 922 ------------------------r Sector 63. Photographic and optical goods: Constant dollars (Millions of 1972 dollars) Gross in v e s tm e n t G ross s to c k s Net Year s to c k s 1 T o ta l 1 9 4 7 _____ 19 4 8 . . . . 1949. . . . $65 8 3 65 1 9 5 0 _____ 1 9 5 1 .... 1 9 5 2 .... 1 9 5 3 .... 1954 . . . . 51 55 58 74 86 1 9 5 5 _____ 1956 . . . . 1 9 5 7 .... 1 9 5 8 .... 1 9 5 9 .... 86 94 9 1 85 83 1 9 6 0 _____ 1 9 6 1 .... 1 9 6 2 .... 1 9 6 3 .... 1 9 6 4 .... Equi pment $43 60 47 S tr u c tu r e s T o ta l Equ i p m e n t $21 23 18 $589 667 726 | | | 39 37 35 5 1 59 11 18 22 22 26 768 8 11 853 906 968 | | j | | 58 6 1 59 54 54 27 32 31 31 28 1 1 1 1 1 ,026 ,088 ,144 ,191 /233 10 1 98 104 130 82 60 58 69 93 67 41 39 34 36 15 1 1 1 1 1 1 9 6 5 _____ 1 9 6 6 .... 1 9 6 7 .... 1968 . . . . 1 9 6 9 .... 153 226 314 300 250 106 132 174 172 175 1 9 7 0 _____ 1 9 / 1 . . . . 1 9 7 2 .... 1 9 7 3 .... 1 9 7 4 .... 274 217 233 306 384 157 132 187 222 281 _______ $328 384 425 S tr u c tu r e s T o ta l Equ i p m e n t S tr u c tu r e s $260 283 30 1 $548 6 13 655 $299 344 373 $248 268 282 455 48 1 50 1 533 568 312 330 351 373 399 679 703 725 759 802 390 400 406 424 448 289 302 318 334 354 | | | I | 600 63 1 659 678 694 425 456 485 513 539 84 1 885 922 951 974 468 489 506 514 522 372 396 4 16 436 452 ,289 ,337 ,386 ,457 /479 | | | | | 7 12 726 747 791 807 576 6 10 638 666 672 1,012 1,044 1, 0 7 9 1, 137 1, 146 533 540 557 598 611 479 503 52 1 539 535 46 94 140 128 74 1,569 1,731 1,979 2,210 2,388 | | | | | 86 1 942 1,063 1,181 1,301 707 789 9 16 1,029 1 , 086 1,223 1,370 1,601 1,810 1, 9 6 2 66 1 736 850 956 1,061 1 16 84 46 84 102 2 2 2 3 3 | I | | | 1,400 1,472 1,594 1,744 1,947 1, 185 1,249 1,275 1,337 1 , 4 16 2 2 2 2 2 1,140 1,189 1,285 1,407 1,579 ,5 ,7 ,8 ,0 ,3 86 22 69 81 63 I 104 ,1 ,2 ,3 ,5 ,7 30 3 2 42 15 55 __________ 56 1 6 34 75 1 854 90 1 989 1, 0 4 3 1,057 1/108 1, 176 Sector 64. Miscellaneous manufacturing: Historical dollars (Millions of dollars) G ross Equ i p m e n t T o ta l G ross in v e s tm e n t S tr u c tu r e s s to c k s Equ i p m e n t T o ta l S tr u c tu r e s $86 98 108 $229 263 287 $146 169 184 $83 94 103 232 251 27 1 30 1 333 122 140 156 170 187 319 348 374 408 447 203 215 227 250 275 1 15 132 146 158 172 36 1 394 420 464 505 212 247 270 302 328 489 546 583 645 699 294 319 336 37 1 403 195 227 247 274 295 892 951 1,031 1,113 1,201 542 581 628 682 741 349 370 402 431 459 743 788 853 919 990 432 462 500 545 594 31 1 326 352 374 396 1,293 1,402 1,524 1,656 1,797 804 869 937 1 , 0 15 1,103 489 532 587 640 694 647 700 754 818 888 418 454 500 545 589 1,92 2,06 2,31 2,58 2,86 1,181 1,268 1,434 1,608 1,792 743 794 879 976 1,076 948 .015 .16 1 ,310 ,468 629 670 745 831 9 19 $62 42 33 $41 29 23 $20 13 10 $244 284 314 1950 . 1951 . 1952. 1953. 1954. 44 42 42 53 60 29 23 26 38 42 14 18 16 14 17 354 392 427 472 520 1955. 1956 . 1957. 1958. 1959. 65 82 65 93 88 39 47 40 6 1 60 26 35 24 32 27 573 64 1 690 766 833 1960 . 1961 . 1962. 1963. 1964. 82 85 109 1 14 122 59 63 74 83 90 22 22 34 30 31 1965. 1966 . 1967. 1968. 1969. 130 149 165 180 191 97 10 1 106 120 131 33 47 59 59 59 1970 . 1 9 7 1. 1972. 1973. 1974. 182 198 317 34 1 362 126 139 223 234 251 56 59 94 107 111 1947. 1948. 1949. S tr u c tu r e s Equi pment To ta l Net s to c k s $157 185 206 4 2 4 4 9 1 1 1 1 1 ,0 ,1 ,2 ,3 ,4 6 5 5 6 7 5 4 4 3 8 1,577 1,686 1 1 1 1 1,906 2,142 2,388 Sector 64. Miscellaneous manufacturing: Constant dollars (Millions of 1972 dollars) G ross in v e s tm e n t G ross s to c k s Net s to c k s Year T o ta l 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ $140 89 68 Equi pment $95 64 47 S tr u c tu r e s T o ta l Equi pment S tr u c tu r e s T o ta l Equi pment $44 25 21 $654 737 797 $391 450 491 $262 286 306 $608 677 720 $359 407 434 S tr u c tu r e s $248 269 286 1950 1951 1952 1953 1954 _____ _____ _____ _____ _____ 87 76 73 91 10 1 57 4 1 45 65 70 29 34 28 25 31 875 938 994 1,064 1,139 540 570 599 644 689 335 368 395 4 19 449 779 821 855 902 956 468 480 493 521 55 1 311 340 362 380 404 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ 1 10 128 95 136 126 63 68 56 83 8 1 47 59 38 52 44 1,219 1,313 1,370 1,465 1,545 724 760 782 827 865 495 552 588 638 680 1 , 0 14 1,086 1, 120 1,192 1,249 57 1 593 600 632 657 443 493 520 560 591 1960 196 1 1962 1963 1964 _____ _____ _____ --------_____ 1 14 1 19 15 1 156 164 77 82 95 107 114 37 37 56 49 49 1 1 1 1 1 ,609 ,671 ,76 1 ,852 ,948 895 925 965 1,014 1,069 7 13 745 795 838 879 1 1 1 1 1 0 2 3 5 2 676 6 98 731 774 822 6 13 633 67 1 70 1 729 1965 1966 1967 1968 1969 _____ _____ _____ _____ _____ 172 194 209 2 17 219 121 123 124 136 144 50 7 1 84 80 74 2 2 2 2 2 ,048 , 168 ,300 ,436 ,570 1,128 1, 189 1,249 1,319 1,396 920 979 1,050 1,116 1, 174 1,631 1,729 1,837 1 , 946 2,052 875 927 976 1,034 1,096 1970 197 1 1972 1973 1974 _____ _____ _____ _____ _____ 196 203 317 329 31 1 132 140 223 229 224 64 62 94 99 87 2 2 3 3 3 ,677 ,7 8 6 ,003 ,225 ,423 1,457 1,523 1,668 1 , 8 15 1,952 1.219 1,262 1,334 1,410 1,471 2 2 2 2 2 1,14 1 1 , 189 1,315 1,440 1,553 ________________ _____________________ | _____________________i 105 ,2 ,3 ,4 ,4 ,5 9 3 0 7 5 , 129 ,206 ,390 ,5 7 8 ,739 | ________________ _____________________ 756 802 860 9 12 956 987 1,016 1,075 1 , 137 1 , 185 Sector 65. Transportation: Historical dollars (Millions of dollars) — Gross in v e s tm e n t G ross Net s to c k s s to c k s Year T o ta l 1947 . . . . 1 9 4 8 _____ 1 9 4 9 _____ 1950 195 1 1952 1953 1954 Equi pment $2,842 2,924 2 , 7 15 2 3 3 3 2 _____ _____ _____ _____ _____ ,6 ,3 ,2 ,1 ,5 3 1 1 1 6 8 7 5 0 9 S tr u c tu r e s T o ta l Equ i p m e n t $32,048 34,363 36,381 $16,453 15,324 19,947 $26,928 28,959 30,666 $13,099 14,767 1 6, 160 S tr u c tu r e s $13,829 14,192 14,506 2,030 2,635 2,477 2,377 1,926 607 631 737 732 643 3 4 4 4 4 8 0 2 5 6 ,2 ,6 ,9 ,0 ,5 1 6 4 7 8 5 0 6 0 7 2 2 2 2 2 7 2 9 2 7 16,908 17,398 17,986 18,557 19,029 3 3 3 3 3 2 4 6 8 9 ,1 ,3 ,2 ,0 ,1 98 26 63 03 19 17,300 19,022 20,457 21,715 22,440 1 1 1 1 1 ,2 ,5 ,6 ,2 ,1 9 3 3 8 7 5 5 2 0 7 28,879 30,671 33,212 34,490 37,034 19,415 19,864 20,420 20,789 21,142 4 4 4 4 4 0 2 4 6 8 ,4 ,2 ,8 ,0 ,4 10 23 84 69 91 2 2 2 2 3 3 4 7 7 0 ,4 ,8 ,0 ,9 ,1 0 9 7 7 7 16,980 17,343 17,816 18,102 18,373 174 297 842 869 280 3 4 4 4 4 9,493 1,283 3,498 5 , 17 1 8,102 2 2 2 2 2 1,680 2,014 2,343 2,697 3 , 177 5 5 5 5 5 0 2 4 5 8 ,9 ,5 ,4 ,7 ,4 6 0 3 8 8 0 7 5 8 4 3 3 3 3 3 2 3 5 6 3 , , , , , 126 419 095 172 466 18,833 19,087 19,339 19,615 20,018 75,450 80,546 8 5,398 91,735 97,255 5 5 6 6 7 1,887 6,428 0,693 6,226 1,009 2 2 2 2 2 3 4 4 5 6 ,5 ,1 ,7 ,5 ,2 6 6 7 7 8 1 6 0 5 0 ,9 ,2 ,3 ,8 ,3 23 61 10 03 79 4 4 4 5 5 1 5 8 3 7 ,5 ,4 ,9 ,7 ,6 97 58 96 64 82 2 2 2 2 2 0 0 1 2 2 ,3 ,8 ,3 ,0 ,6 2 0 1 3 9 02 06 08 16 25 75,391 78,755 80,497 37,296 93,715 2 2 2 2 3 6 7 3 9 1 ,983 ,760 , 191 ,526 ,541 84,448 87,438 88,397 95,311 102,432 6 6 6 6 7 1 3 3 9 4 ,0 ,3 ,9 ,6 ,8 93 86 96 55 42 2 2 2 2 2 3 4 4 5 7 ,3 ,0 ,4 ,6 ,5 55 51 01 56 89 2,3 3 6 3,452 4,394 3,026 4,354 2 2 3 2 3 ,268 , 8 12 ,635 ,444 ,776 567 640 758 582 577 4 5 5 5 5 8 0 3 5 8 1 9 6 0 _____ 1 9 6 1 _____ 1 9 6 2 _____ 1 9 6 3 _____ 1 9 6 4 _____ 4 3 4 3 5 ,5 ,7 ,2 ,8 ,3 29 36 40 12 02 3 3 3 3 4 ,7 ,1 ,6 ,1 ,5 5 5 5 9 4 5 7 5 4 8 774 579 584 6 18 753 6 6 6 6 7 1, 3, 5, 7, 1, _____ . . . . _____ _____ _____ 6 7 7 8 3 ,2 ,3 ,2 ,8 ,1 1 0 1 6 9 9 6 6 6 7 5 6 6 7 7 ,5 ,4 ,3 ,7 ,1 5 5 2 4 3 0 7 3 6 4 669 848 893 1,119 1,063 7,948 7 , 150 5 , 4 10 11,612 12,198 6 6 4 9 9 ,8 ,0 ,6 ,9 ,7 72 23 16 02 94 1,076 1, 126 793 1,710 2,403 1 9 7 0 _____ 1 9 7 1 .... 1 9 7 2 _____ 1 9 7 3 .... 1 9 7 4 --------- Equ i p m e n t $494 560 520 1 1 1 1 1 ,375 ,515 ,688 ,822 ,256 1 3 4 6 7 ,3 ,2 ,9 ,5 ,5 0 6 5 1 5 $15,594 16,038 16,434 T o ta l $2,348 2,364 2,195 1 9 5 5 _____ 1 9 5 6 _____ 1 9 5 7 _____ 1 9 5 8 .... 1 9 5 9 _____ 1965 1966 1967 1968 1969 S tr u c tu r e s 6 1 0 0 4 3 7 5 9 6 3 7 6 6 1 4,897 5,303 5,805 6,292 6,678 5 3 3 9 6 _________________________ Sector 65. Transportation: Constant dollars (Millions of 1972 dollars) T I Gross i n vestm ent Gross s to c k s Net s to c k s Year ----------------------------r T o ta l I 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ $6,031 5,742 5 , 1S6 — Equi pment S tr u c tu r e s T o ta l Equ i p m e n t S tr u c tu r e s 1 T o ta l Equ i p m e n t 1 $97,017 99,56 1 101,341 $38,877 4 1 ,332 | I I 1 $4,956 4 , 6 13 4 , 150 $1,124 1 , 128 1, 036 $1 1 8 , 0 5 6 121,431 124,026 I I | | | 3,623 4,546 4 , 120 3,870 3,046 1, 186 1 , 142 1,283 1,228 1, 0 8 3 126,010 128,744 131,077 132,981 133,785 5 5 6 6 6 7,279 9,693 1 , 6 16 3,214 3,901 6 6 6 6 6 8 9 9 9 9 ,7 ,0 ,4 ,7 ,8 31 45 60 67 83 I I i I j 1 1 1 1 1 $50,429 53,381 55,689 $67,627 68,050 68,337 1950 1951 1952 1953 1954 _____ _____ _____ --------_____ 4, 5, 5, 5, 4, 1955 1956 1957 1958 1959 _____ --------_____ _____ _____ 4 5 6 4 5 ,4 ,0 ,0 ,0 ,6 1 3 6 2 5 6 6 6 7 6 I | | I | 3,470 4,040 4,955 3 , 187 4 , 8 10 946 996 1,110 83 9 846 134,751 1 3 6 , 191 138,508 138,652 1 4 0 3 1 1 6 6 6 6 7 4 6 8 9 1 ,9 ,4 ,7 ,1 ,1 3 2 3 8 8 0 7 2 2 4 6 6 6 6 6 9 9 9 9 9 ,821 ,763 ,775 ,470 ,126 I I I I I 107 108 110 109 110 1960 196 1 1962 1963 1964 _____ _____ _____ _____ --------- 5 4 5 4 6 ,9 ,8 ,4 ,8 ,8 2 6 2 6 2 4 3 0 4 4 | I I I | ! 4 4 4 4 5 ,807 ,029 ,591 ,000 ,730 1,116 834 829 864 1,094 142 142 143 144 146 7 7 7 7 7 5 4 5 6 9 ,1 ,2 ,8 ,7 ,2 3 3 2 3 8 6 4 0 6 5 6 6 6 6 6 9,008 8 , “ / 1 8,094 7,619 7,345 I I I i I 1955 1966 1967 1968 1969 _____ _____ _____ _____ _____ 7,887 9,165 8,886 10,516 9,411 I | I | | 6,931 7,980 7,681 9,063 8,105 955 1 , 185 1,205 1,453 1,305 149,776 154,010 157,796 163,032 167,006 82,874 8 7,353 91,333 96,647 100,813 6 6 6 6 6 6 6 6 6 6 01 57 07 85 93 1970 1971 1972 1973 1974 _____ _____ _____ _____ _____ 8,626 7,335 5,410 11,256 10,580 | | I I | 7,402 6 , 146 4 , 6 16 9,66 1 8,693 1,223 1, 189 793 1,594 1,886 1 1 1 1 1 1 1 1 1 1 6 6 6 6 6 5,899 5,549 4,791 4,823 5 , 133 809 683 404 098 129 '45 ,816 ,914 ,356 ,630 70,044 71,605 71,010 76,019 80,064 04,144 06,055 06,218 11,195 14,930 106 ,9 ,6 ,4 ,3 ,1 02 04 06 07 07 9 9 8 4 1 $ 5 8 , 140 58,228 58,188 0 4 5 8 9 4 4 4 4 4 4 6 7 8 9 ,3 ,3 ,8 ,9 ,2 26 34 22 72 08 5 5 5 5 5 8 8 8 8 8 ,2 ,2 ,3 ,3 ,2 63 60 63 76 10 ,664 ,405 ,066 ,575 ,635 4 5 5 5 5 9 0 2 2 4 , , , , , 8 4 2 5 5 7 1 7 9 9 5 5 5 5 5 7 7 7 6 6 , , , , , 7 6 3 1 7 1 1 1 1 1 11,836 1 1 , S51 12,303 12,060 13,640 5 5 5 5 5 5 5 7 7 9 ,8 ,4 ,5 ,8 ,8 51 55 18 63 15 5 5 5 5 5 5, 5, 4, 4, 3, 985 395 785 196 825 I 1 I I 1 1 1 1 1 1 16 19 22 27 30 ,116 ,689 ,790 ,325 ,515 6 6 7 7 7 2 6 0 4 8 ,8 ,6 ,0 ,6 ,0 11 83 71 52 42 5 5 5 5 5 3 3 2 2 2 , , , , , 3 0 7 6 4 I I I I I 1 1 1 1 1 3 3 3 3 3 ,681 ,304 ,756 ,863 ,982 8 8 8 8 8 0 1 0 4 7 ,4 ,4 ,6 ,6 ,3 9 3 0 2 6 5 5 5 5 5 2 1 1 1 1 , 1S8 ,866 ,149 ,236 ,615 2 3 1 5 8 ,5 ,5 ,1 ,3 ,4 43,152 S tr u c tu r e s 7 8 7 7 3 3 7 7 7 7 8 5 3 8 2 0 0 1 7 7 7 4 8 5 5 5 5 8 2 3 Sector 66. Communications except broadcasting: Historical dollars (Millions of dollars) — G ross Equ i p m e n t T o ta l 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ G ross in v e s tm e n t S tr u c tu re s T o ta l Equ i p m e n t $1,085 1,335 994 $574 621 460 $510 7 13 533 $6,110 7 , 189 7,511 $1,841 2,335 2,659 $3,597 4 , 162 4,540 24 11 95 82 09 4,820 5 , 144 5,549 5,996 6,482 7,896 8,800 9,708 10,455 11,254 11,424 12,799 14,720 16 , 1 6 4 17,582 4 4 5 6 7 ,307 ,789 , 8 18 ,537 , 188 7,116 8,0 0 9 8,9 0 2 9,626 10,394 9,9 7 3 11,145 12,601 13,947 15,395 1 1 1 1 1 93 27 76 54 15 19,335 21,043 22,993 24,911 27,075 8,044 8,974 10,143 11,162 12,259 11,291 12,059 12,850 13,749 14,815 0 8 6 6 5 17,094 18,991 20,952 23,346 25,962 17,316 13,756 20,213 21,719 23,703 29,595 32,415 35,272 38,566 42,493 13,588 15,093 16,637 18,585 20,703 16,007 17,321 18,634 19,981 21,790 5 6 0 6 7 2 3 3 4 4 2 2 3 5 3 4 5 5 6 7 25,428 26,530 29,877 3 3 , 183 37,062 2 2 2 3 3 440 487 570 6 15 655 8,441 9,1 4 9 10,266 11,260 12,244 2 3 3 4 4 ,893 ,263 ,964 ,502 ,991 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ 1,556 2,054 2,660 2,258 2,305 750 937 1,591 1,353 1,353 835 1,066 1,068 904 951 13,341 14,368 16,938 18,553 20,173 5 6 7 8 8 ,4 ,0 ,2 ,0 ,9 I 9 6 0 . . . . 1 9 6 1 .... 1 9 6 2 _____ 1963 . . . . 1 9 6 4 _____ 2 2 3 3 3 ,7 ,7 ,1 ,2 ,6 1,633 1,801 2 , 153 2,136 2,350 1,088 980 996 1, 123 1,314 2 2 , 167 24,174 26,478 28,801 31,410 1 9 6 5 .... 1 9 6 6 .... 1 9 6 7 _____ 1 9 6 8 _____ 1 9 6 9 _____ 4 4 4 5 6 , 189 ,671 ,903 ,556 ,429 2 3 3 3 4 ,7 2 7 ,06 1 ,269 ,851 ,225 1,461 1,609 1,638 1,704 2,203 3 3 4 4 4 4 7 1 5 9 ,4 ,7 ,1 ,0 ,6 1 4 6 6 6 8,027 8,706 9,556 10,528 11,798 5 5 6 6 7 ,0 ,7 ,2 ,5 ,5 2 3 3 3 4 5 6 6 7 8 5 2 9 7 5 ,6 ,1 ,2 ,0 ,8 7 5 5 4 0 ,968 ,005 , 3C2 ,967 ,279 $ 1,499 1,965 2,249 ,4 ,7 ,2 ,6 ,0 372 510 851 7 18 721 8 0 3 0 8 $5,097 6 , 127 6,789 S tr u c tu r e s 2 2 3 3 4 8 13 998 1,422 1,334 1,377 5 0 5 6 1 $4,269 4,854 5,25 1 Equ i p m e n t T o ta l 7,245 7,855 8,844 9,679 10,492 .. . _____ _____ _____ _____ 1 9 7 0 _____ 1 9 7 1 .... 1 9 7 2 .... 1 9 7 3 .... 1 9 7 4 _____ S tr u c tu r e s s to c k s 48 86 01 58 53 1950 1951 1952 1953 1959 22 82 50 65 65 Net s to c k s 4 6 2 9 1 5 7 9 7 8 9,246 2,995 7,094 1 ,268 6,135 5 5 6 6 7 ,5 ,8 ,3 ,7 ,2 2,1 3,0 3,8 4,8 6,0 6,428 9,160 2 , 155 5,778 9,672 7 3 9 6 3 ,7 ,3 ,4 ,1 ,6 51 73 89 75 86 4 6 9 2 6 ,322 ,843 ,612 ,991 ,624 Sector 66. Communications except broadcasting: Constant dollars (Millions of 1972 dollars) G ross in v e s tm e n t G ross s to c k s Nat s to c k s Year T o ta l 1 | $1,986 2,442 1,791 I I j 1,456 1,633 2,262 2,180 2,237 i I | I I 523 687 1, 180 1,032 1,030 932 946 1,082 1, 1 4 7 1,206 2 2 2 2 2 1 2 3 4 6 ,1 ,0 ,4 ,7 ,0 7 0 2 2 0 8 2 9 7 9 . . . . 2 3 3 3 3 ,5 ,1 ,9 ,3 ,3 1 8 3 2 7 4 4 7 7 2 I | | I I 1,073 1,382 2 , 138 1,797 1,799 1,440 1,801 1,798 1,530 1,572 2 2 3 3 3 7 9 2 4 6 ,4 ,5 ,2 ,3 ,4 8 3 6 3 0 1960 . . 1961.. 1962.. 1963.. 1964. . 3 3 4 4 5 ,9 ,9 ,5 ,6 ,2 1 5 2 5 0 8 3 4 9 6 I I I | I 2 , 163 2,405 2,894 2,859 3 , 129 1,755 1,548 1,630 1,799 2,076 3 4 4 4 5 8 1 4 7 1 1965.. 1966 . . 1967.. 1968.. 1969.. 5 6 6 6 7 ,8 ,4 ,5 ,9 ,7 9 1 0 9 1 2 6 6 8 3 1 | I ! I 3,626 4,049 4 , 186 4 , 7 14 4 , 9 13 2 2 2 2 2 ,2 ,3 ,3 ,2 ,7 65 66 20 84 99 5 5 6 6 7 4 9 3 7 2 9,112 9,245 9,556 10,110 10,662 i | I I I 5 6 6 6 7 3 3 3 3 3 ,3 ,2 ,3 ,6 ,4 9 3 0 9 5 1947 . . 1948. . 19 4 9 . . 1950 1951 1952 1553 1954 . . .. .. .. .. 1555. 1956 . 1957 . 1958. 1959. 1 1 1 1 1 9 9 9 9 9 7 7 7 7 7 0 1 2 3 4 . .. .. .. .. .. - Equ i p m e n t $824 895 66 1 ,7 ,0 ,2 ,4 ,2 15 06 53 13 08 S tr u c tu re s T o ta l $1,162 1,547 1, 129 $17,779 19,493 20,515 6 8 2 7 4 Equ i p m e n t T o ta l Equ i p m e n t S tr u c tu r e s $ 14,285 15,389 16,053 $14,711 16,322 17,240 9 3 2 0 3 16,499 16,938 17,496 18,106 18,765 17,789 18,476 19,736 20,830 21,901 3 4 4 5 5 8 8 1 7 5 14,010 14,408 14,935 15,522 16* 166 0 4 8 7 6 7,829 8,642 10,137 11,226 12,264 19,651 20,892 22,131 23,110 2 4 , 142 2 2 2 2 3 ,1 ,0 ,6 ,4 ,3 7 5 2 8 0 7 9 5 9 8 6 , 135 6,782 8,116 9 , 0 17 9,832 17,041 18,276 19,508 20,472 21,475 ,9 ,5 ,5 ,5 ,0 76 21 43 73 02 13,611 15,130 17,042 13,793 20,668 2 2 2 2 3 5 6 7 8 0 ,3 ,3 ,5 ,7 ,3 65 91 00 79 34 33,5 35,7 33,2 40,8 43,6 6 2 9 0 6 8 7 4 5 4 10,912 12,110 13,648 14,981 16,409 2 2 2 2 2 2,655 3,617 4,645 5,824 7,255 , , , , , 5 4 3 0 6 2 2 2 3 3 3 3 3 3 3 2 3 5 7 9 ,0 ,9 ,6 ,3 ,5 73 05 76 38 85 4 5 5 5 6 96 16 65 32 07 18, 20, 21, 24, 26, 149 111 991 169 292 2 3 3 3 3 8 0 2 5 5 4 4 4 5 5 2 4 7 0 3 , , , , , 4 0 8 9 0 66,954 7 1,864 76,695 81,672 86,784 3,947 1,587 4 , 148 6,529 9,358 3 4 4 4 4 8,007 0,277 2,546 5 , 143 7,425 9 2 4 9 8 2 6 8 9 6 78,973 84,937 90,895 97,059 103,403 $3,493 4,103 4,462 4 5 5 6 7 ,6 ,0 ,9 ,6 ,2 7 6 3 2 4 2,878 5,341 7,761 0,521 3,281 36,6 40,0 43,4 46,6 50,4 ________ L . S tr u c tu r e s 2 3 1 6 0 9 1 4 5 0 3 9 4 3 0 4 6 0 4 2 3 5 7 9 1 6 0 4 7 1 ,9 ,6 ,0 ,7 ,8 __________________ 107 $2,739 3,311 3,624 2 3 3 3 3 ,7 ,0 ,3 ,3 ,7 7 6 0 0 3 $11,971 13,011 13,616 ,8 ,5 ,0 ,5 ,5 4 0 7 6 1 7 4 4 2 5 Sector 67. Radio and TV broadcasting: Historical dollars (Millions of dollars) G ross in v e s tm e n t G ross s to c k s Net s to c k s Year T o ta l Equ i p m e n t S tr u c tu r e s T o ta l Equ i p m e n t $27 35 24 $20 26 17 $ 168 222 256 31 52 1 53 79 17 30 0 30 45 13 21 0 22 33 _____ _____ _____ _____ _____ 86 85 1 18 8 1 87 49 49 60 46 50 36 35 57 34 36 1 9 6 0 _____ 1 9 6 1 .... 1 9 6 2 --------( 9 6 3 _____ 1 9 6 4 _____ 147 51 89 214 175 85 29 51 123 10 1 1 9 6 5 _____ 1 9 6 6 _____ 1 9 6 7 _____ 1968. .. . 1 9 6 9 _____ 26 1 242 398 254 266 _____ _____ _____ . .. . _____ 165 294 398 460 542 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ $48 62 42 1 9 5 0 _____ 1 9 5 1 _____ 1 9 5 2 _____ 1 9 5 3 _____ 1 9 5 4 _____ 1955 1956 1957 19 5 3 1959 1970 197 1 1972 1973 1974 S tr u c tu r e s $99 128 145 $69 94 1 10 277 320 3 10 350 4 13 155 178 170 189 22 1 122 14 1 140 160 19 1 480 542 635 6 90 751 254 283 321 345 372 225 258 313 345 379 6 1 21 37 90 73 8 7 1 894 95 1 1,128 1,260 433 437 459 548 609 h 151 140 230 147 154 109 10 1 167 106 111 1,472 1,661 2,003 2,193 2,40 1 7 15 805 933 1,075 1,171 95 170 230 266 313 69 123 167 193 228 2,4 2,7 3,0 3,3 3,7 1 1 1 1 1 __________ 97 11 14 59 67 ,201 ,297 ,438 ,596 ,783 T o ta l E qu ip m e nt S tr u c tu r e s $81 108 123 I | | $6 1 85 10 1 24 1 278 26 1 294 350 129 147 132 146 17 1 I I I | | 1 12 131 128 143 17 S 4 11 468 557 607 660 199 224 259 278 299 770 779 82 1 934 1,102 351 343 353 430 480 756 855 1,019 1 , 122 1,230 1,300 1,472 1,794 1,961 2,128 575 654 8 17 887 953 1 1 1 1 1 2,1 2,3 2,6 2,9 3,2 38 456 49 1 579 650 ,295 ,414 ,576 ,763 ,984 $ 143 194 224 I 8 4 0 0 7 0 8 3 4 2 1 1 1 1 948 ,006 ,109 ,234 ,393 212 244 298 329 36 1 | I | | I I | 4 18 435 468 553 621 | I i | 724 8 18 977 1,074 1, 174 | | | 1 1 1 1 1 ,232 ,341 ,493 ,669 ,878 Sector 67. Radio and TV broadcasting: Constant dollars (Millions of 1972 dollars) G ross in v e s tm e n t G ross s to c k s Net s to c k s Year T o ta l Equ i p m e n t 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ $82 10 1 68 1950 1951 1952 1953 1954 _____ _____ _____ _____ _____ 51 79 1 82 124 24 4 1 0 43 64 27 38 0 38 60 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ 137 127 17 1 1 16 124 70 68 80 6 1 66 67 59 90 55 58 1960 1961 1962 1963 1964 _____ _____ _____ _____ _____ 212 73 128 305 247 111 38 68 164 134 1965 1966 1967 1968 1969 _____ _____ _____ _____ _____ 364 331 524 319 316 1970 197 1 1972 1973 1974 _____ _____ _____ _____ _____ 186 310 398 442 477 $39 51 35 S tr u c tu re s T o ta l $43 49 32 Equ i p m e n t $421 504 553 S tr u c tu r e s T o ta l Equi pment S tr u c tu r e s $191 229 249 $230 275 303 $352 429 471 I I i $153 187 203 $199 242 268 258 282 264 287 327 325 358 352 333 436 494 543 509 554 639 | 1 I | j 207 225 199 2 15 248 287 318 3 10 339 390 865 952 1 , 080 1 , 152 1,234 369 406 452 478 5 11 495 545 627 673 723 733 815 939 1,006 1/078 I I | | | 285 313 36 1 383 408 448 497 578 622 670 100 34 59 141 113 1,403 1,432 1,510 1,759 1,941 589 592 6 19 735 813 8 14 840 890 1,023 1, 127 1 1 1 1 1 4 4 3 4 8 | | | | I 474 46 1 472 574 638 759 783 831 960 1,060 200 185 292 178 178 163 146 231 140 137 2 2 2 3 3 ,2 ,4 ,9 ,1 ,3 3 8 3 6 9 951 1,068 1,290 1,395 1,496 1,282 1,419 1,642 1,773 1,901 1,973 2,207 2,625 2,824 3,005 I j | i I 764 866 1,069 1, 145 1,209 1,209 1,341 1,556 1,678 1,796 107 179 230 260 300 78 130 167 18 1 177 3 3 3 4 4 ,4 ,6 ,9 ,2 ,5 87 87 55 41 39 1 1 1 1 1 1, 970 2,089 2,245 2,413 2,576 3 3 3 3 3 | I | I | I 1, 185 1,219 1,287 1,370 1,482 1,852 1,959 2 , 100 2 ,252 2,397 584 640 6 17 67 1 764 4 8 2 9 8 108 ,5 ,5 ,7 ,8 ,9 1 9 0 2 6 7 7 9 7 3 ,2 ,2 ,3 ,5 ,6 ,0 ,1 ,3 ,6 ,8 3 4 0 3 9 3 7 8 2 8 8 8 7 3 0 Sector 68. Public utilities: Historical dollars (Millions of dollars) G ross To ta l . 194a 1 9 4 9 _____ $359 986 1,106 $1,181 1,554 1,995 $15,369 17,402 19,974 19 o 3,991 1,107 1,192 1,425 1,621 1,447 2 , 143 2,368 2,3 1 5 2,7 2 9 2,543 2 2 2 3 3 2 5 8 2 5 4 4 5 5 5 ,0 2 1 ,521 ,671 ,529 , 142 1,408 1,597 2,221 2,058 1,813 2,6 2,9 3,4 3,4 3,3 12 23 49 70 28 5,243 5,006 4^901 4,967 5,479 2,002 1,868 1,836 1,829 2,057 3 3 3 3 3 ,2 ,1 ,0 ,1 ,4 40 37 64 37 21 6,127 7,431 8,752 10,201 11,611 2,0 8 1 2,57 1 3,207 3,451 4,673 4 4 5 6 6 ,0 ,8 ,5 ,7 ,9 4 5 4 4 3 13,141 15,301 17,001 18,701 20,551 5,363 7 , 152 7,489 8,073 8,975 3 3 3 4 19 S 1 195? 19 5 4 1955 1956 1957 195a ... . . . . 1 9 5 9 '... 1 96 n 196 1 196 ? 196 ^ 1 9 6 4 _____ 196 5 196 6 1967 19 6 a 1 9 6 9 --------197 197 197 197 $1,541 2,541 3,102 n 1 ? 5 1 9 7 4 _____ ,2 ,5 ,7 ,3 5 6 4 5 1 1 1 1 5 9 4 9 7 7,777 8,148 9,51 1 10,627 11,575 Net s to c k s Equ i p m e n t S tr u c tu re s Equi pment T o ta l 1947 G ross in v e s tm e n t S tr u c tu r e s s to c k : Equ i p m e n t T o ta l $2,235 3,018 3,9 0 0 S tr u c tu r e s $10,460 1 1 >638 13,243 $3,017 3,815 4,727 $12,352 13,587 15,247 $12,695 14,656 17,143 78 78 38 78 01 5,639 6,637 7,863 9,266 10,449 17,039 19,040 20,975 23,312 2 5,452 19,735 22,584 25,544 29,021 32,025 3 4 4 5 5 9 , 176 2,850 7,561 2,015 5,975 11,523 12,690 14,371 15,774 16,821 2 3 3 3 3 7, 0, 3, 6, 9, 653 160 190 241 154 3 3 4 4 5 4 8 2 6 0 2 0 9 7 0 9,620 10,477 11,851 12,947 13,699 25 27 30 33 36 5 6 6 7 7 9 3 7 0 4 17,960 18,88 1 19,692 20,415 21,281 4 4 4 5 5 1 4 7 0 3 ,983 ,715 ,379 ,116 , 133 5 5 5 6 6 3,730 6,934 9,923 2,862 6 , 199 14,554 15,190 15,712 16,149 16,744 5 4 4 4 4 78,850 84,492 91,362 99,597 1 0 9 , 159 2 2 2 2 3 2 3 5 7 0 ,0 ,3 ,0 ,0 ,2 88 05 93 76 43 5 6 6 7 7 6 1 6 2 8 ,7 ,1 ,2 ,5 ,9 70,063 75,111 81,347 8 8,873 97,624 17,296 18,283 19,849 2 1,590 24,471 5 5 6 6 7 1 2 0 , 164 133,222 147,828 163,920 181,578 3 3 4 5 5 4 9 5 1 8 ,0 ,6 ,4 ,7 ,8 69 42 81 85 16 ,6 ,6 ,8 ,5 ,9 ,9 ,5 ,0 ,5 ,4 44 96 71 31 14 61 86 68 21 15 86,095 93,579 102,346 1 12, 134 122,762 107 119 132 147 162 , , , , , 9 2 5 6 1 ,6 ,5 ,7 ,1 ,8 4 4 6 2 8 6 5 4 5 6 2 5 4 8 3 4 5 6 7 8 27 32 38 43 49 ,7 ,6 > ,9 ,8 14,981 16,929 18,811 21,095 23,179 53 54 32 26 45 1 ,911 ,962 >084 ,466 ,354 ,321 >/63 ,718 >6 / 9 >4 8 1 9 , 176 1,744 4,210 6,713 9,455 2,767 >828 1,497 7,282 3 , 153 d 79,750 86,592 94,660 103,691 1 13,508 ________________ _______________ Sector 68. Public utilities: Constant dollars (Millions of 1972 dollars) G ross in v e s tm e n t G ross s to c k s Net s to c k s Year T o ta l 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ 1950 1951 1952 1953 1954 Equi pment $3,830 5,453 6,456 $689 1,796 1,982 S tr u c tu re s T o ta l $3,141 3,657 4,473 $60,595 63,750 67,863 Equ i p m e n t $7,297 8,605 10,090 S tr u c tu r e s $53,297 55,145 57,773 _____ _____ _____ _____ _____ 6 6 6 7 6 ,4 ,3 ,6 ,3 ,7 3 4 4 5 4 2 8 7 0 2 1 , 939 1,871 2,237 2,467 2,160 4 4 4 4 4 ,4 ,4 ,4 ,8 ,5 93 76 10 82 82 71,922 75,873 80,095 84,971 89,152 1 9 5 5 _____ 1 9 5 6 _____ 1 9 5 7 _____ 1 9 5 8 _____ 1 9 5 9 _____ 6 6 7 7 6 ,6 ,7 ,8 ,5 ,8 29 04 03 6 1 36 2,086 2 , 129 2,745 2,480 2,148 4 4 5 5 4 ,5 4 3 ,5 7 4 ,057 ,081 ,687 93,097 94,561 10 ; , 7 6 2 106 , 173 109,737 19,575 20,847 22,56? 23,833 24,630 73,521 76,114 79,200 82.335 8 5 , 10 7 1960 196 1 1962 1963 1964 _____ _____ _____ _____ _____ 6 6 6 6 7 ,8 ,7 ,7 ,8 ,4 7 7 2 3 4 2 2 2 2 2 4 4 4 4 4 ,512 ,520 ,480 ,580 ,908 113,25 116,61 119,90 123,27 127,21 7 8 4 4 4 2 2 2 2 2 5 6 6 7 8 ,5 ,1 ,7 ,3 ,1 1 9 9 4 1 87,741 90,424 93,110 95,930 99,102 1965 1966 1967 1968 19 6 9 _____ _____ _____ _____ _____ 8 , 188 9,720 11,018 12,465 13,534 2,553 3,109 3,742 3,878 5 , 135 5,634 6 , 6 11 7,276 8,587 8,398 131,361 138,000 145,389 1 5 4 , 175 163,964 2 3 3 3 3 8 0 1 3 7 ,8 ,0 ,9 ,8 ,0 47 93 37 91 78 1 9 7 0 _____ 1 9 7 1 _____ 1 9 7 2 _____ 1 9 7 3 _____ 1 9 7 4 _____ 14,465 15,784 17,001 17,773 17,239 5,687 7,26 1 7,489 7,915 8 , 189 8,7 8,5 9,5 9,8 9,0 174,598 186,425 199,282 212,654 2 2 5 , 160 4 4 5 5 6 0 6 1 7 2 ,788 ,028 ,413 ,091 ,858 7 1 5 8 2 ,3 ,2 ,2 ,2 ,5 64 51 45 58 33 __________ 7 2 1 5 5 8 3 1 8 0 1 1 1 1 1 1,534 2,917 4,666 6 , 6 18 8,192 6 6 6 6 7 6 4 4 4 2 0 2 5 8 0 ,3 ,9 ,4 ,3 ,9 8 5 2 5 6 T o ta l $48,894 51,952 55,960 7 5 9 2 0 5 6 6 7 7 9,883 3,647 7 , 6 18 2 , 163 5,945 Equi pment $5,297 6,587 8,034 5 5 5 5 6 0 3 5 8 0 ,4 ,0 ,4 ,3 ,9 8 1 6 8 9 79,460 82,904 87,317 91,365 94,594 15,886 16,712 18,015 18,917 19,383 6 6 6 7 7 3 6 9 2 5 ,5 ,1 ,3 ,4 ,2 74 91 02 48 11 97,794 100,821 103,733 106,684 110,158 19,983 20,412 20,773 21,096 21,653 ,013 ,907 ,452 ,283 ,886 1 1 1 1 1 14,282 19,831 26,543 34,527 43,370 2 2 2 2 2 2 3 4 6 9 1 1 1 1 1 ,809 ,396 ,869 ,562 ,301 152,868 163,345 174,608 1 8 6 , 149 196,595 3 3 4 4 5 2,773 7,464 2 , 120 6,888 1,557 3 0 7 5 2 , 187 ,240 ,881 ,590 ,474 __________ 109 $43,597 45,364 47,926 9,395 10,631 1 2, 152 13,781 14,949 103 107 113 120 126 3 4 4 5 6 S tr u c tu r e s 77,8 80,4 82,9 85,5 88,5 0 0 6 8 0 7 6 6 2 6 6 9 0 8 5 92,095 96,590 101,661 107,936 1 13,896 1 1 1 1 1 20,094 25,881 32,488 39,261 45,038 Sector 69. Wholesale and retail trade: Historical dollars (Millions of dollars) — G ross in v e s tm e n t G ross Net s to c k s s to c k s Year T o ta l 1 9 4 7 _____ 194?... 1 9 4 9 _____ Equ i p m a n t $2,150 3,023 2,334 Equ i p m e n t T o ta l S tr u c tu r e s Equ i p m e n t S tr u c tu r e s $2,644 3,659 4,424 $756 1,066 822 $10,588 13,120 14,969 $7,645 9,147 10,213 $2,943 3,972 4,755 $8,976 11,384 13,019 $6,332 7,725 8 ,595 1,826 1,887 1,315 1,746 2 , 190 994 1,029 7 15 946 1 , 188 17,29 19,65 20,97 22,78 25,11 7 0 8 9 9 11,589 12,956 13,616 14,529 15,721 5,708 6,693 7,362 8,260 9,398 15,030 16,985 17,890 19,327 21,339 1 1 1 1 2 2 9 8 7 '.7 ,5 2 8 19,324 20,663 21,672 22,848 10,994 12,687 14,195 15,616 1 7, 159 2 2 3 3 3 ,454 ,633 , 120 ,123 ,351 13,957 15,489 16,511 17,148 17,895 10,497 12,143 13,609 14,974 16,456 18,736 20,307 2 2 , 130 23,814 25,852 36 38 41 44 47 ,6 ,7 ,6 ,1 ,4 49 91 60 60 32 18,684 19,332 20,467 21,383 22,733 17,965 19,459 21,193 22,776 24,698 5 5 6 6 7 2,016 7,561 1,475 7,912 4,593 24,891 27,627 29,097 32,190 35,330 2 2 3 3 3 37 39 41 45 49 4 2 , 152 4 5 , 188 49,015 53,490 58,056 _____ _____ _____ _____ _____ 2 2 2 2 3 1955 1956 1957 1958 1959 _____ --------_____ --------_____ 4,5 8 0 4,7 5 6 4 , 168 3 , 8 12 4 , 180 2 , 930 3,006 2,6 C1 2,331 2,574 1,649 1,749 1,566 1,480 1,605 2 3 3 3 4 8 2 4 7 0 ,5 ,0 ,8 ,2 ,0 2 1 5 8 0 4 4 5 5 5 14 18 75 23 93 2,77 1 2,780 3,385 3,270 3,786 1,642 1,637 1,889 1,752 2,106 4 4 4 5 5 2 5 8 1 5 ,8 ,4 ,7 ,6 ,2 22 58 56 41 97 2 2 2 2 2 4 5 6 7 9 , , , , , 6 6 7 7 8 0 6 1 8 5 , , , , , 2 2 0 0 7 3 0 7 7 8 3 3 3 4 4 1 5 7 0 4 ,9 ,0 ,0 ,6 ,5 12 48 23 86 01 2 3 3 3 4 8 1 3 7 1 ,4 ,3 ,9 ,5 ,2 11 71 84 21 77 91,503 97,463 1 0 5 , 143 114,439 123,798 4 4 5 5 6 7 9 3 7 2 ,0 ,7 ,3 ,8 ,2 95 54 11 06 42 4 4 5 5 6 4 7 1 6 1 ,4 ,7 ,8 ,6 ,5 0 0 3 3 5 ,4 ,4 ,2 ,0 ,8 To ts 1 $1,393 1,956 1,511 1950 1951 1952 1953 1954 1 9 6 0 _____ 1 9 6 1 _____ 1 9 6 2 .... 1S 6 3 . . . . 1 9 6 4 _____ ,821 , 9 I7 ,031 ,693 ,379 S tr u c tu re s 1965 1966 1967 1968 1969 _____ _____ _____ _____ _____ 7,326 8,465 7,064 9 , 8 19 10,376 4,696 5,4 2 8 4,367 6 , 189 6,516 2,629 3 , C 36 2,696 3,629 3,859 1970 197 1 1972 1973 1974 _____ _____ _____ _____ _____ 8,763 9,274 11,295 13,236 13,637 5 5 7 8 3 3,246 3,432 4,270 4,969 5 , 120 ,5 ,8 ,0 ,2 ,5 16 41 24 66 16 3 4 0 2 7 086 150 626 827 445 7 9 2 3 6 4 7 0 2 4 79,30 84,20 90,78 98,92 107,06 7 5 0 0 6 9,67 0,66 0,92 1,49 2,40 5,3 6,3 6,9 7,8 8,9 3 6 7 6 2 , 154 ,017 ,764 ,430 ,009 __________ 5 1 6 3 3 7 9 2 1 7 7 , 124 9,934 2,376 5,722 9,263 Sector 69. Wholesale and retail trade: Constant dollars (Millions of 1972 dollars) — G ross in v e s tm e n t G ross s to c k s Net Year 1 9 4 7 _____ 1 9 4 8 .... 1 9 4 9 .... T o ta l i | $3,998 5,198 3,985 | j | $2,318 3,06 1 2,293 Equi pment S tr u c tu re s T o ta l Equ i p n e n t $ 1,680 2 , 136 1,691 $28,455 32,219 34,814 $16,495 18,373 19,532 1 9 5 0 _____ 1 9 5 1 .... 1 9 5 2 .... 1953. . .. 19 5 4 . . . . 4 4 3 4 5 ,8 ,4 ,0 ,0 ,0 0 9 3 7 9 9 9 4 3 6 j I | j j 2,750 2,621 1,770 2,402 2,932 2,058 1,878 1,263 1,671 2,164 38,265 41,306 42,660 44,766 47,656 2 2 2 2 2 1 2 2 3 4 ,1 ,6 ,9 ,6 ,6 8 1 7 8 8 1 9 5 5 _____ 19 5 6 . . . . 1957 . . . . 19 5 8 . . . . 1959.. . . 6 6 5 5 5 , , , , , 8 5 5 1 6 8 8 7 7 5 9 4 8 4 5 | | | | j j 3 3 3 2 3 2 2 2 2 2 5 1 8 4 4 5 5 5 6 6 2 6 9 2 5 9 3 5 3 9 2 2 2 2 3 6 8 9 9 0 ,5 ,1 ,1 ,7 ,5 1 9 6 0 _____ 1 9 6 1 .... 1 9 6 2 .... 1 9 6 3 .... 1 9 6 4 .... 5 5 7 6 7 ,9 ,9 ,0 ,6 ,7 5 7 9 9 9 2 1 9 6 2 | | | j I j 3,2 3 7 3,255 3,997 3,870 4,459 2 , 7 14 2 , 7 15 3 , 102 2,826 3,332 6 7 7 7 8 8,730 1,868 5,936 9,464 4,035 3 3 3 3 3 1 2 3 4 6 ,4 ,2 ,4 ,5 ,0 1 9 6 5 _____ 1 9 6 6 .... 1967 . . . . 1968. . . . 1 9 6 9 .... 9,602 10,833 8,856 11,818 11,859 j I | j | 5 6 5 6 7 ,5 ,3 ,0 ,9 ,0 4,051 4,49 1 3,824 4,911 4,776 90,40 97,97 103,47 111,80 119,97 2 2 5 4 4 1 9 7 0 _____ 1 9 7 1 .... 1 9 7 2 .... 1 9 7 3 _____ 1 9 7 4 .... 9,477 9,499 11,295 12 > / 6 6 11,721 | j | j | 5 5 7 8 7 ,788 ,882 ,024 ,160 ,721 3 3 4 4 4 1 1 1 1 1 25,504 30,751 37,463 45,298 51,743 _______ _______ L_ ,933 ,702 ,100 ,759 ,011 5 4 3 0 8 1 1 1 7 3 ,9 ,8 ,4 ,4 ,6 5 8 7 1 4 ,689 ,6 1 6 ,2 7 0 ,605 ,000 , , , , , 1 3 5 2 4 9 7 3 6 1 5 4 4 2 8 S tr u c tu r e s $11,960 13,845 15,282 s to c k s T o ta l Equi pment $23,422 27,029 29,327 $13,168 14,918 15,813 S tr u c tu r e s $10,254 12,111 13,513 17,079 18,692 19,686 2 1,083 22,968 3 3 3 3 3 2,296 4,740 5,497 7,145 9,711 1 1 1 1 1 7 7 7 3 8 ,0 ,9 ,7 ,0 ,7 60 42 22 37 55 2 2 3 3 3 5 8 0 2 4 9 0 3 6 4 4 4 5 5 5 3 7 0 3 5 , , , , , 9 8 7 0 6 9 9 0 0 5 8 9 6 4 2 2 2 2 2 2 0 1 2 2 3 ,442 ,827 ,536 ,813 ,226 2 2 2 3 3 3,5 6,0 8,1 0,1 2,4 6 0 8 0 6 4 4 8 9 7 3 3 4 4 4 7,265 9,663 2,447 4,954 7,967 5 6 6 6 7 8 1 4 7 2 ,4 ,1 ,7 ,9 ,2 4 0 9 9 2 1 4 3 4 2 2 2 2 2 2 3 4 5 6 7 ,725 ,113 ,158 ,010 ,407 3 3 3 4 4 4,715 6,990 9,635 1,983 4,814 3 4 4 4 5 8,706 2,117 4 , 140 7,916 1,686 5 5 5 6 6 1 5 9 3 8 5 5 5 6 6 3 5 8 2 5 71,5 74,7 78,6 82,7 86,2 ,9 ,9 ,8 ,5 ,5 26 75 61 71 42 __________ 110 ,6 ,2 ,4 ,5 ,8 ,6 ,8 ,3 ,8 ,2 3 3 1 2 6 9 5 3 8 8 24 00 14 19 60 15,272 16,840 17,783 19,126 20,951 5 7 7 9 2 6 2 0 0 5 6 5 4 7 7 7 8 , 152 85,126 89,857 97,315 104,451 2 3 3 3 4 9 2 4 7 0 ,8 ,8 ,3 ,5 ,6 18 68 94 85 51 4 5 5 5 6 8 2 5 9 3 ,3 ,2 ,4 ,7 ,8 34 58 72 30 00 78 76 01 26 00 1 0 8 , 8 17 112,860 1 18,353 124,956 130,156 4 4 4 4 5 2 3 5 8 0 ,0 ,3 ,4 ,3 ,6 89 34 41 95 33 6 6 7 7 7 6 9 2 6 9 ,7 ,5 ,9 ,5 ,5 2 2 1 6 2 8 5 2 0 3 Sector 70- Finance and insurance: Historical dollars ( Mi l l i ons of dol l ar s) — G ross G ross in v e s tm e n t Net s to c k s ----------------------------[— T o ta l | s to c k s I T o ta l S tr u c tu r e s Equ i p m a n t Equ i p m e n t S tr u c tu r e s S tr u c tu r e s Equ i p m e n t T o ta l ----------------------------h 1997 . . 1946 . . 1999. . $130 190 182 I i | $9 13 13 $120 176 168 $1,758 1,870 1, 972 ,2 ,9 ,7 ,2 ,3 91 09 59 79 69 | I | I | 150 196 155 175 165 2 2 2 3 3 '-,36 0 9-367 3, 5 , 9c9 6,893 290 26 0 278 307 919 9 9 5 5 6 ,119 .696 ,099 , b / 7 ,929 3 9 9 5 6 ,8 ,3 ,7 ,9 ,2 3 3 8 2 7 1 0 0 9 4 | I | I | j 183 203 218 291 398 3,697 9 , 127 9,562 5 , 132 5,926 778 873 939 1,095 1,867 7,715 8,787 10,059 11,687 19,782 587 866 1,279 1,889 3 , 195 7,127 7,921 8,730 9,797 1 1,587 7,123 8,1 6 9 9,900 10,963 13,953 | | | I | 507 772 1, 157 1,720 2,997 6,61 7,39 8,2 9 9,29 11,01 881 878 1,360 1,117 2,709 1,005 823 1,052 863 2,091 16,538 18,083 20,297 22,013 26,936 9,0 2 0 9 , 8 16 6,099 6,97 1 9,372 1 1 1 1 1 15,598 16,879 18,815 20,195 24,258 | | I I | 3 9 5 5 7 1 1 1 1 1 2 , 186 2,326 3,738 9,157 9,283 1,690 1,798 2,8 9 1 3,215 3 , 3 12 2 3 3 9 5 2 3 3 9 9 | I | I | 29 18 31 93 13 187 238 9 19 575 178 2 2 3 3 3 1955. 1956 . 1957 . 1958 . 1959. . . . . . 570 609 559 756 967 | | I I | 90 92 39 50 135 529 56 1 519 705 831 1960 . . 1961.. 1962. . 1963.. 1969. . 973 1,181 1,382 1,790 3,219 I 1 I | I 199 307 992 699 1,396 1965. 1966 . 1967 . 1968 . 19 6 9 . 1,887 1,702 2,913 1,981 9,796 I | | | | I 3 9 6 7 7 | I I i | 7 5 0 3 6 $167 156 197 2 2 2 3 3 | | | i I 7 2 3 7 9 I | | ,517 ,699 ,099 ,553 ,662 212 257 996 6 19 192 ,8 ,1 ,6 ,3 ,5 $1,9 25 2,027 2,120 2 2 3 3 3 . . . . . 1970 . . 1971.. 1972 . . 1973. . 1979. . $2,199 2,279 2,388 209 205 219 239 223 1950 . 1951 . 1952. 1953. 1959. . . . . . $236 220 207 $2,386 2,995 2,595 9 3 9 5 2 ,7 ,8 ,2 ,7 ,8 2 9 5 8 8 6 9 8 7 5 ,813 ,302 ,162 ,697 , 195 11,126 12,889 15,923 19,269 22,576 2,517 3,267 9,297 5,091 7,069 18,687 20,917 23,233 26,382 29,619 7 0 5 1 7 ,2 ,2 ,6 ,9 ,2 17 55 21 85 79 ,6 ,2 ,2 ,8 ,9 3 9 5 8 8 6 8 2 9 9 ,0 ,2 ,5 ,0 ,1 9 5 9 9 9 0 8 9 8 8 5 7 3 3 1 1,911 2,625 3,563 9,305 6,268 17,818 19,963 2 2 , 185 25,212 28,312 9,398 10,791 13,935 16,272 18,961 _________ L _________ L_ Sector 70. Finance and insurance: Constant dollars ( Mi l l i ons of 1 972 dol l ars) G ross Year I I ! 1 9 9 7 .... 1 9 9 8 _____ 1 9 4 9 _____ in v e s tm e n t G ross s to c k s Net s to c k s I T o ta l I | j j E quipm ent I j $28 1 372 365 $19 19 | | 16 33 23 39 55 16 19 50. . . . 1 9 5 1 _____ 1 9 5 2 _____ 1 9 5 3 .... 1 9 5 4 _____ | | | | ! j 921 958 77 1 1,071 39 1 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ | | | | | 998 973 865 1,206 1,518 I960 1961 1962 1963 1969 _____ _____ _____ --------_____ | | j | | 1 ,999 1,789 2,027 2,97 1 9,926 212 335 985 705 1,971 1965 1966 1967 1968 1969 _____ _____ _____ _____ _____ I | | | | j 2 2 2 2 5 ,5 ,1 ,9 ,3 ,9 1970 1971 1972 1973 1979 _____ _____ _____ --------_____ I | | I | 9 9 6 7 6 , 163 ,233 ,6 3 0 ,116 ,663 7 6 5 1 15 7 0 3 7 99 98 93 56 149 S tr u c tu r e s T o ta l 1 $267 353 396 I I ! I | I | 337 939 731 1,016 329 I I j 1 | I | | 998 929 82 1 1,150 1,369 1 I I 1 Equi pment $10,793 10,762 10,721 1 1 1 1 1 0 0 1 1 1 ,7 ,7 ,1 ,8 ,7 $93 1 399 362 36 86 96 00 19 12,299 12,893 13,237 19,072 15,170 $8,117 8,111 8 ,095 295 231 232 299 229 339 397 357 38 1 998 11,959 12,996 12,929 13,691 19,671 9,975 10,597 11,013 11,823 12,997 I | I | | 295 26 1 27 1 29 1 903 15,571 16,637 17,803 19,202 21,800 14,049 15,933 17,051 19,099 23,055 | I I | | 573 857 1,276 1,890 3,229 13,975 19,575 15,775 17,209 19,826 2 2 2 2 2 9 9 3 6 3 2 2 2 3 3 5 6 8 0 9 ,026 ,581 ,829 ,325 ,755 | | | i I 3 9 5 6 8 3 0 7 6 6 2 2 2 2 2 1 1 3 3 6 29,865 31,992 39,122 36,850 3 9 , 189 3 9 9 5 5 7,790 0,621 5,729 1,070 5,669 I I I | | 9,955 11,287 13,856 16,597 19,008 2 2 3 3 3 7,789 9,339 1,868 9,972 6,661 j | I | | 1,599 1,218 1,992 1,168 2,588 I 1 I i I 27,913 29,169 31,665 33,998 38,291 9,9 5,2 6,6 7,5 10,0 2 2 3 9 9 | | | | | | 1,921 1,895 2,891 2,980 2,588 I I I 9 9 5 5 6 11,836 13,552 16,526 19,779 22,800 675 979 1,920 2,089 3,507 111 S tr u c tu r e s — | I | I | 966 959 1,967 1,185 2,829 1 ,702 5,095 0,699 6,625 1,990 $299 273 25 1 Equi pment 8 ,363 8,916 8,781 9,995 9,3 8 0 I | 2 8 8 6 5 $8,917 8 ,3 8 5 8,346 r | | | 0,389 0,951 0,812 1,952 1,395 16,297 17,611 19,229 21,287 25,307 9 3 3 3 7 | 1 1 1 1 1 I 1 I ,2 ,3 ,7 ,1 ,0 $10,361 10,368 10,359 T o ta l 352 335 339 398 323 1,286 1,998 1,592 1,766 2,959 | S tr u c tu r e s 0 7 0 7 6 9 5 2 2 7 3 3 5 5 8 ,0 ,8 ,0 ,9 ,2 0 8 6 2 2 ,9 ,6 ,7 ,3 ,5 8 5 2 8 5 _________ 8,117 8 ,135 8 ,599 9,196 9 , 150 1 1 1 1 9,7 2 9 0,286 0,792 1,531 2,593 ,092 ,931 ,097 ,938 ,199 Sector 71. Real estate and rentals: Historical dollars (Millions of dollars) T o ta l i 1947 . . . . 1 9 4 8 _____ 1 9 4 9 _____ $62 108 47 1 1950 . . . . 1951 . . . . 1 9 5 2 _____ 1 9 5 3 .... 1 9 5 4 _____ 40 9 439 240 4 16 1,681 1 9 5 5 _____ 1956. .. . 1 9 5 7 _____ 1953 . . . . 1 9 5 9 _____ 1/752 1,275 1,904 884 1,190 1 9 6 0 _____ 1 9 6 1 .... 1962. . . . 1 9 6 3 .... 1 9 6 4 _____ 1/709 1,889 1,903 1,577 608 1965 1966 1967 1968 1969 3,020 3,649 2,935 1,876 2,178 G ross i nvestm ent Gross S tr u c tu re s E quipm ent I I I $17 46 203 $44 6 1 267 1 | 1 I I | 176 189 103 179 725 232 249 136 236 955 756 550 822 384 481 995 724 1,081 499 708 647 647 670 58 1 3S9 1 | I j i | E qu ip m e nt T o ta l $5,765 5,650 5,893 Met s to c k s $932 899 1,024 I S tr u c tu r e s i $4,833 4,751 4,869 1 , 124 1,236 1,258 1,350 1,985 4 5 4 5 5 ,9 ,0 ,9 ,0 ,8 9,293 10,276 1 1,876 12,441 13,291 2 3 3 4 4 6 7 8 8 8 ,646 , 132 ,074 ,382 ,899 1,061 1,241 1,237 995 208 14,623 16,084 17,509 18,552 18,582 4,8 5,2 5,6 5,8 5,8 5 5 2 5 4 77 1,050 838 636 372 2,942 2,618 2,096 1,239 1,805 2 2 2 2 2 0 3 6 7 8 ,9 ,9 ,2 ,4 ,8 87 87 42 15 32 5 6 6 6 6 75 15 24 03 02 542 1 , 058 1,391 958 1,791 3,536 4,637 3,193 5,970 3 , 120 3 3 4 4 5 2 7 1 7 1 ,2 ,2 ,1 ,3 ,5 57 62 61 88 81 6 , 173 6,670 7,503 7,889 9,097 6 6 6 6 7 ,068 ,2 6 7 ,2 5 6 , 4 10 ,820 ,647 ,093 ,802 ,059 ,391 4 3 9 5 3 s to c k s Equ i p m e n t T o ta l $704 669 793 $4,570 4,432 4,654 S tr u c tu r e s $3,866 3,762 3,86 1 884 932 986 1,061 1,674 3 3 3 4 4 ,921 ,994 ,953 ,009 ,785 7,890 8,813 10,334 10,789 11,510 2 2 3 3 3 ,2 ,6 ,2 ,4 ,6 9 7 9 3 3 5 6 7 7 7 ,598 , 138 ,036 ,3 5 1 ,878 1 1 1 1 1 3 4 4 4 4 ,9 ,1 ,4 ,5 ,3 40 9 1 17 13 94 8,760 9,823 10,882 11,700 11,732 3 2 9 5 4 14,500 16,937 18,844 19,886 21,486 4 4 4 5 6 4 0 8 9 5 ,8 ,9 ,9 ,0 ,4 06 77 39 7 1 59 2 4 8 8 1 I . . .. _____ . . . . _____ _____ 4 5 4 6 4 1970 . . . . 197 1 . . . . 1 9 7 2 _____ 1 9 7 3 .... 1 9 7 4 _____ ,0 ,6 ,5 ,9 ,9 7 9 8 2 1 | I I | | | | I 1 I I | I I I I l 9 6 5 9 2 ,4 ,0 ,3 ,4 ,2 2 8 8 3 7 1 1 1 1 9,77 1 0,826 1,880 2,698 2,735 2 4 5 6 6 ,700 ,014 ,300 ,213 ,127 15,512 17,971 19,917 21,012 22,680 18,43 21,35 23,53 24,63 26,03 4 9 9 9 6 3 4 4 4 4 ,9 ,4 ,6 ,7 ,5 2 3 3 3 4 2 3 3 4 4 8 7 4 4 4 4 5 5 6 7 ,522 ,0 1 1 , 8 11 , 143 ,284 6 0 3 9 2 ,0 ,5 ,6 ,4 ,4 8 9 5 9 8 4 2 8 9 4 9 4 7 3 7 ,3 ,2 ,9 ,9 ,8 2 1 4 5 8 4 2 4 3 9 2 4, 2 9, 32, 37, 40, 805 205 133 811 600 __________ __________ Sector 71. Real estate and rentals: Constant dollars (Millions of 1972 dollars) — — G ross i nvestm e vt G ross Year T o ta l E quipm ent S tr u c tu re s T o ta l s to c k s E qu ip m e nt Net S tr u c tu r e s $124 ______________ 189 ______________ 833 $27 68 295 $97 120 537 1 9 5 0 _____ 1951 1952 1953 1954 728 ______________ 698 ______________ 37 1 ______________ 649 ______________ 2,643 248 245 132 233 9 10 480 453 239 415 1,733 2 2 2 2 2 2 2 1 1 2 ,9 ,5 ,8 ,4 ,9 58 72 56 09 57 2 2 2 2 2 ,068 , 126 ,072 ,118 ,844 20,889 20,446 19,783 19,291 20,113 1955 1 9 5 6 _____ 1 9 5 7 _____ 1958 1959 ______________ 2,756 1,850 2,657 ______________ 1,259 ______________ 1 , 7 19 953 651 946 448 562 1,803 1,199 1,710 810 1, 157 2 2 2 2 2 4 5 6 7 7 .6 ,3 ,9 ,1 ,7 20 74 37 00 16 3 4 4 5 5 ,6 ,0 ,8 ,0 ,4 16 82 38 85 23 2 2 2 2 2 1 9 6 0 _____ 1 9 6 1 _____ 1962 1963 1964 2,502 2,802 ______________ 2,796 ______________ 2,268 ______________ 790 753 753 784 678 463 1,748 2,048 2,011 1,590 327 2 3 3 3 3 9 0 2 3 2 ,0 ,7 ,3 ,3 ,8 9 2 1 4 7 0 5 4 5 9 5 6 6 6 6 ,9 ,3 ,7 ,9 ,9 1 4 3 6 2 1965 1966 1967 1968 1969 ______________ 4,582 5,03 1 3,897 2,364 2,633 90 1 , 187 948 700 399 4,492 3,844 2,948 1,663 2,234 3 3 4 4 4 6 9 2 3 5 ,1 ,9 ,5 ,6 ,0 9 4 6 6 4 1 6 5 0 9 4,576 5,955 ______________ 4,585 ______________ 6,499 ______________ 4,029 562 1,063 1,391 940 1,596 4 , 0 14 4,891 3,193 5,559 2,432 4 5 5 6 6 8 3 6 2 4 ,4 ,2 ,6 ,0 ,9 19 15 76 57 70 1 9 7 0 _____ 1 9 7 1 _____ 1972 1973 1974 _______ T o ta l s to c k s Equi pment S tr u c tu r e s I — 1 9 4 7 _____ 1948 1949 _____ _____ _____ _____ ------------------------------------------------------- --------------- 1 $24,444 23,558 23,310 _______ $2,058 1,918 2 , 0 12 $22,386 21,639 21,298 $18,714 17,849 17,637 $1,479 1,354 1,467 $17,235 16,494 1 6, 170 1,531 1,591 1,534 1,580 2,299 15,791 15,388 14,777 14,352 15,256 19,278 20,074 21,665 21,827 22,426 3 3 4 4 4 16,2 16,6 17,5 17,5 18,0 2 3 , 177 24,383 25,579 26,382 25,956 23,7 25,3 26,9 2 7,9 27,5 76 89 67 99 46 4,739 5,000 5,238 5,327 5 , 169 19,037 20,389 21,729 22,672 22,376 6,463 7,056 7,370 7,406 7 , 126 2 3 3 3 3 9 2 5 6 7 ,7 ,8 ,1 ,2 ,9 2 8 9 5 2 30,892 34,699 37,359 38,438 39,900 4 , 6 18 5,161 5,442 5,466 5 , 193 2 2 3 3 3 7,0 7,4 8,1 8,4 9,3 4 4 4 5 5 1 5 8 3 5 ,4 ,7 ,5 ,6 ,6 03 94 14 18 08 4 4 5 5 5 5 5 6 6 7 3 8 , 175 42,512 4 5 , 132 50,098 51,903 3 2 4 3 3 15 21 6 1 38 6 1 1,0u4 1,'-52 2,099 2,015 2,292 8 9 5 4 2 __________ 112 1 1 1 1 1 | 7 6 6 5 7 3 8 1 6 9 ,3 ,9 ,3 ,9 ,5 ,2 ,0 ,3 ,5 ,2 2 7 1 3 5 7 1 5 5 3 3 9 2 2 5 0 5 2 5 8 ,0 ,4 ,1 ,2 ,4 3 4 0 2 1 6 0 8 9 7 ,094 ,502 ,219 ,4 5 7 ,334 6 9 1 3 4 ,2 ,5 ,9 ,0 ,7 41 34 57 98 09 7 3 1 2 0 4 8 7 2 7 Sector 72. Hotels and repair places except auto repair: Historical dollars (Millions of dollars) — Year G ross in v e s tm e n t Gross Net s to c k s ! T o ta l I E quipm ent S tr u c tu re s T o ta l I I I $7,612 8 ,1 8 2 8,588 I | | ----------------------------!— $723 80 1 643 1947 . . . . 1948 . . . . 1 9 4 9 _____ 606 666 573 875 546 1950 . . . . 1951 . . . . 1952. . . . 1953.. . . 1 9 5 4 _____ $424 4 15 37 1 s to c k s 1 S tr u c tu r e s Equ i p m e n t $5,799 6,077 6,304 $1,813 2,105 2,284 $293 385 27 1 I I | I | I 182 257 94 199 138 423 408 478 675 407 8,940 9,3 2 4 9,577 10,095 10,256 I I I I j 2 2 2 2 2 669 775 667 8 13 962 10,906 11,891 12,713 13,659 14,804 I I I I J 2,526 2,919 3,260 3,583 3,957 8,380 8 ,972 9,453 10,076 10,846 1 1 1 1 6 9 3 4 6 6 6 7 7 7 2 3 0 1 7 ,5 ,8 ,1 ,6 ,8 7 3 4 5 8 9 9 9 7 6 | | I I | 1,916 I 1,849 1,817 1,719 I I | 5 5 6 6 6 9,093 0,059 0,853 1,757 2,838 | j | | I j 1,868 2,254 2,578 2,868 3,187 | I I I 7,2 7,8 8,2 8,8 9,6 I 1 | 1 I ,4 ,7 ,8 ,3 ,4 2 1 8 4 6 1 1 1 1 1 52 95 32 56 54 I I I I I | 382 6 19 564 542 59 1 1960 . . . . 1 9 6 1 .... 1 9 6 2 .... 1 9 6 3 .... 1 9 6 4 --------- 1,579 1,973 1,965 2,311 2,440 I I I | i I 535 684 556 727 737 1,043 1,288 1,408 1,583 1,702 15,964 17,494 18,981 20,772 22,656 | | | | | 4 4 4 5 5 ,2 ,7 ,9 ,3 ,7 6 0 7 7 4 8 4 6 5 5 11,695 12,789 14,004 15,396 16,911 13,911 15,339 16,715 18,398 20,171 | I I I j | 3 3 3 4 4 ,418 ,7 6 1 ,933 ,240 ,523 1 9 6 5 .... 1 9 6 6 .... 1967 . . . . 19 6 8 . . . . 1 9 6 9 _____ 2 2 2 2 2 ,2 ,5 ,0 ,4 ,3 6 0 3 5 0 0 0 7 8 0 | I i i | 579 808 578 9 14 692 1,680 1,691 1,458 1,543 1,607 2 2 2 2 3 4 6 7 9 1 ,3 ,2 ,6 ,4 ,0 3 2 3 4 5 2 5 5 0 8 | I I | | 5 6 6 6 7 ,9 ,3 ,4 ,8 ,0 2 0 3 7 6 5 9 9 7 2 18,407 19,916 21,195 22,562 23,995 2 2 2 2 2 1 3 4 6 7 ,7 ,4 ,7 ,4 ,8 8 4 9 1 4 I | | | I 4 4 4 5 5 , 6 16 ,915 ,9 5 1 ,299 ,394 1 1 1 1 1 2 2 3 3 2 ,2 ,4 ,0 ,1 ,2 4 3 5 9 7 0 6 2 4 7 I | I 654 779 791 6 13 437 1,585 1,656 2,260 2,580 1,839 3 3 3 3 4 2 4 6 8 0 ,5 ,2 ,5 ,9 ,4 8 8 6 6 1 7 3 6 4 6 | I | 7 7 7 7 7 ,1 ,3 ,5 ,5 ,3 7 9 8 8 7 9 1 9 2 7 2 2 2 3 3 2 3 3 3 3 9 0 2 5 6 ,221 ,741 ,339 ,040 ,289 I I I I | 5 5 5 5 5 ,4 ,5 ,6 ,6 ,3 9 7 0 .... 9 7 1 .... 9 7 2 .... 9 7 3 ... . 9 7 4 --------- 1 | I ______ I_ i | I 5 6 8 1 3 ,4 ,8 ,9 ,3 ,0 08 92 77 81 39 $4,807 5,059 5,262 I 19 5 5 . . . . 1956 . . . . 1957 . . . . 1958 . . . . 1 9 5 9 _____ ,0 ,3 ,2 ,3 ,5 S tr u c tu r e s $1,521 1,782 1,907 7 7 7 8 8 8 0 6 4 8 I I | | j $6,3 28 6,8 4 2 7,169 I I I ,3 ,4 ,4 ,4 ,3 E qu ip m e nt T o ta l 2 9 5 1 6 ________ ______ L 2 6 9 3 7 7 6 6 0 8 | I I I | | ,5 ,7 ,0 ,5 ,7 1 4 3 2 4 2 3 9 9 7 24 05 7 5 89 51 10,492 11 ,578 12,781 14, 15 15,648 1 17,111 18,579 19,807 21,112 22,470 2 2 2 2 3 3 5 7 9 0 ,7 ,1 ,1 ,4 ,9 9 7 4 0 1 4 4 2 9 0 Sector 72. Hotels and repair places except auto repair: Constant dollars (Millions of 1972 dollars) G ross in v e s tm e n t G ross s to c k s Net s to c k s Year T o ta l Equ i p m e n t S tr u c tu r e s T o ta l Equ i p m e n t S tr u c tu r e s To ta 1 Equi pment S tr u c tu r e s _____________________ 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ $1,430 1,424 1,17 1 $487 59 1 406 $942 832 765 $31,503 31,740 31,725 $3,799 4,151 4,326 $27,703 27,588 27,399 $24,970 2 5 , 180 25,105 $3,078 3,391 3,4 8 6 $21,852 21,789 21,619 1950 1951 1952 1953 1954 _____ _____ _____ _____ _____ 1, 145 1,095 970 1,464 924 268 350 125 27 1 182 876 745 845 1,193 74 1 3 3 3 3 3 1,664 1,514 1,186 1,302 0,850 4 4 4 4 3 ,3 ,4 ,2 ,0 ,8 4 1 0 9 7 9 7 9 9 3 2 2 2 2 2 7 7 6 7 6 ,315 ,097 ,977 ,203 ,976 2 2 2 2 2 4 4 4 4 4 ,9 ,7 ,3 ,4 ,0 6 4 7 9 9 6 5 6 9 5 3 3 3 2 2 ,404 ,369 ,081 ,934 ,703 2 2 2 2 2 1 1 1 1 1 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ 1,708 2,036 1,728 1,971 2,2 8 1 509 759 672 645 696 1,199 1,277 1,055 1,326 1,585 3 3 3 3 3 1,1 1,8 2,2 2,8 3,8 3 4 4 4 5 ,9 ,3 ,6 ,8 ,2 69 25 13 89 30 2 2 2 2 2 7 7 7 7 8 ,2 ,5 ,6 ,9 ,6 0 1 0 7 0 7 6 6 3 4 2 2 2 2 2 4 5 5 6 7 ,5 ,2 ,7 ,4 ,4 0 5 2 3 6 2 9 2 9 6 2 3 3 3 4 ,8 ,1 ,4 ,7 ,0 1 9 9 6 6 9 8 4 0 4 2 2 2 2 2 1,682 2,060 2,227 2,678 3,401 1 9 6 0 _____ 1 9 6 1 _____ 1 9 6 2 _____ 1 9 6 3 _____ 1 9 6 4 _____ 2 2 2 3 3 628 804 659 863 869 1,724 2,136 2 , 3 12 2,553 2,693 34,834 36,514 3 8 , 158 40,224 42,425 5,50 1 5,929 6 , 176 6,585 6,965 2 3 3 3 3 9 0 1 3 5 ,3 ,5 ,9 ,6 ,4 82 85 81 39 60 2 3 3 3 3 8 0 1 3 6 ,5 ,2 ,8 ,9 ,1 51 06 67 57 74 4 4 4 5 5 ,2 ,6 ,7 ,1 ,4 7 1 19 80 12 17 2 2 2 2 3 4 5 7 8 0 ,2 ,5 ,0 ,8 ,7 7 3 8 4 5 19 6 5 1966 1967 1968 1969 _____ _____ _____ _____ _____ 3,27 3,45 2,73 3,11 2,74 6 0 7 2 2 687 948 668 1,024 753 2,589 2,502 2,068 2,088 1,989 4 4 4 4 5 4 6 7 9 0 ,3 ,4 ,8 ,5 ,9 38 31 17 79 66 7 , 135 7,548 7,661 8,103 8 ,243 37,202 38,882 4 0 , 155 41,476 42,723 3 4 4 4 4 8 0 1 3 4 ,0 ,1 ,5 ,2 ,5 8 6 0 0 0 5,510 5,841 5,858 6,206 6,249 3 3 3 3 3 2 4 5 6 8 ,5 ,3 ,6 ,9 ,2 78 24 47 99 57 1 9 7 0 _____ 1 9 7 1 _____ 1 9 7 2 --------1 9 7 3 _____ 1 9 7 4 _____ 2,48 2,53 3,05 2,99 1,83 8 2 2 5 1 1,801 1,745 2,260 2,391 1,437 5 5 5 5 5 2 3 4 6 6 ,0 ,2 ,9 ,5 ,9 90 48 18 24 59 8 8 8 8 7 4 4 4 4 4 4 4 4 4 4 5,532 6,586 8 , 140 9,615 9,911 6 6 6 6 5 3 4 4 4 4 9 0 1 3 4 , , , , , 3 4 7 2 0 ,3 ,9 ,9 ,4 ,5 52 40 7 1 17 63 686 787 79 1 603 393 76 42 20 62 34 113 ,2 ,3 ,4 ,3 ,9 8 9 7 4 8 3 1 6 8 9 3 4 6 8 8 ,8 ,8 ,4 ,1 ,9 0 5 4 7 6 6 7 1 6 9 8 5 6 5 6 ,2 ,2 ,2 ,0 ,7 0 4 6 9 0 2 0 6 2 9 ,5 ,3 ,2 ,5 ,3 3 3 8 5 2 61 76 94 65 91 9 6 6 4 7 0 6 4 2 2 Sector 73. Business services, research and development: Historical dollars (Millions of dollars) G ross Year 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ 1950 1951 1952 1953 1954 _____ _____ _____ _____ _____ 1955 1956 1957 1958 1959 _____ . . . . _____ _____ _____ 1 9 6 0 _____ 1 9 6 1 _____ 1 9 6 2 .... 1 9 6 3 _____ 1 9 6 4 _____ 1965 1966 1967 1968 1969 _____ _____ . . . . _____ _____ 1 9 7 0 _____ 1 9 7 1 .... 1 9 7 2 _____ 1 9 7 3 _____ 1 9 7 4 _____ i I I T o ta l I I I I I I I I I I I I I I | $290 363 287 G ross S tr u c tu re s $22 27 21 T o ta l s to c k 3 Equ i p m e n t $1,309 1,589 1,790 $ 1,225 1,479 1,660 I | Net S tr u c tu r e s $84 1 10 130 j | s to c k s I T o ta l I 1 $1,037 1,312 1,496 $962 1,211 1,375 $75 10 1 120 I I 1,726 2,128 2 , 2 11 2,360 2,461 1,583 1,947 2,013 2,139 2,217 143 180 197 22 1 243 I I I Equ i p m e n t S tr u c tu r e s 368 562 280 378 362 342 522 260 35 1 336 25 39 19 26 25 2,054 2,514 2,677 ;• , 9 1 0 3 . C9 1 1,900 2,322 2,467 2,676 2 ,834 ! 154 191 209 234 257 565 6 15 1,053 8 17 8 19 525 572 979 759 76 1 39 42 73 57 57 3 3 4 5 5 ,4 ,7 ,5 ,0 ,5 3 9 6 6 6 6 3 0 9 6 3 3 4 4 5 41 58 53 07 49 | | I | | 2 94 335 406 46 1 5 16 I I I I 2 3 3 4 4 ,7 ,0 ,7 ,1 ,5 3 3 4 8 9 6 3 4 4 2 2 2 3 3 4 ,4 ,7 ,3 ,7 ,0 55 13 55 41 96 280 319 389 443 496 6 7 7 8 9 ,2 ,0 ,9 ,9 ,2 2 5 5 1 1 3 5 6 0 7 5,6 6,3 7,2 8,0 8 ,3 4 8 0 5 0 0 9 0 6 3 | I | | I 583 665 755 854 913 I I 1 1 I 5 5 6 7 7 ,1 ,8 ,5 ,3 ,4 3 1 3 0 1 2 0 4 1 4 4 5 5 6 6 ,5 ,1 ,8 ,4 ,5 7 6 0 7 3 56 1 64 1 728 824 879 96 93 13 39 34 9,543 10,888 12,341 15,190 17,817 | 1, 052 1,205 1,372 1,649 1,916 ,881 ,032 ,331 ,546 ,599 18,815 18,879 19,999 22,883 25,596 I I I I I I I I I Equ i p m e n t $313 39 1 309 I in v e s tm e n t 994 1,195 1,317 1,441 868 924 1,110 1,224 1,339 306 69 84 92 10 1 6 1 2 2 2 3 3 ,016 ,204 ,403 ,988 ,835 1,874 2,048 2,233 3,707 3,564 14 1 155 169 280 270 10,5 12,0 13,7 16,8 19,7 2,178 1,298 2 , 6 15 4,786 4,931 2,024 1,206 2,431 4,450 4,585 153 91 183 335 345 2 2 2 2 2 _ 0 1 2 5 8 _______ ,1 ,4 ,1 ,6 ,0 | | | | | | | I I 2 2 2 2 3 I I j ,066 , 153 ,332 ,662 ,002 1 I I 0 9 5 7 4 8,6 1 3 9,906 11,294 1 4, 153 16,684 7,599 8,744 9,97 1 12,560 14,832 1,01 1,16 1,32 1,59 1,85 17,353 16,956 17,689 20,369 22,959 15,36 1 14,837 15,452 17,815 20,080 1,992 2,069 2,236 2,553 2,8 7 8 _______ 4 2 2 3 2 Sector 73. Business services, research and development: Constant dollars (Millions of 1972 dollars) — “ 1 G ross in v e s tm e n t G ross s to c k s Nat s to c k s Year r T o ta l $518 6 10 470 1 9 4 7 _____ 1948 . . . . 1 9 4 9 --------195 195 195 195 195 Equ i p m e n t 0 --------1 _____ 2 _____ 3 _____ 4 _____ $469 556 426 499 707 342 469 435 551 779 376 5 15 48 1 S tr u c tu re s $49 54 43 T o ta l Equ i p m e n t $2,729 3,091 3,322 52 7 1 34 46 46 S tr u c tu r e s $2,37 1 2,685 2,880 $357 405 441 T o ta l E qu ip m e nt $ 2 , 108 2,476 2 , 6 97 $1,801 2,122 2,310 I S tr u c tu r e s | $307 353 387 j 3 4 4 4 4 ,6 ,2 ,3 ,6 ,7 50 17 63 11 74 3 3 3 3 4 ,1 ,6 ,7 ,9 ,1 6 6 8 9 2 4 7 8 8 5 485 549 574 6 12 649 2 3 3 3 3 ,9 ,4 ,5 ,6 ,7 8 8 2 6 3 9 1 3 4 2 2 2 3 3 3 ,5 ,9 ,0 ,1 ,1 5 8 0 1 4 9 9 7 2 4 5 5 6 6 7 ,1 ,4 ,2 ,7 ,2 5 9 9 9 9 4 4 5 5 6 ,4 ,7 ,4 ,8 ,2 4 2 1 3 4 7 4 8 8 5 7 10 770 877 96 1 1,045 4 4 5 5 5 ,0 ,3 ,0 ,5 ,9 4 2 7 2 2 1 3 7 0 9 3 3 4 4 4 ,3 ,6 ,2 ,6 ,9 9 1 6 3 5 4 8 8 0 8 6,8 7,5 8 ,4 9,3 9,5 2 8 2 2 4 0 2 5 6 9 1, 149 1,279 1,420 1,573 1,659 6,49 7,23 8,04 8,90 9,02 6 4 0 7 1 5 6 6 7 7 ,4 ,0 ,7 ,4 ,4 2 3 0 2 5 3 6 5 4 7 | I 1,0 1,1 1,3 1,4 1,5 I | 646 705 809 890 97 1 1955 1956 1957 1958 1959 _____ _____ _____ _____ _____ 752 752 1,243 964 958 682 682 1, 127 870 864 70 69 116 93 94 1960 196 1 1962 1963 1964 --------_____ _____ _____ _____ 1, 156 1,390 1,535 1,676 1,006 1, 0 4 2 1,250 1,383 1,513 909 114 139 151 163 97 7,970 8,86 1 9,845 10,900 11,209 1 9 6 5 _____ 1 9 6 6 _____ 1 9 6 7 _____ 1 9 6 8 .... 1 9 6 9 _____ 2 2 2 4 4 35 23 10 87 18 2 , 1 18 2,293 2,470 4,008 3,783 217 229 240 37 9 334 12,77 14,45 16,25 19,64 22,67 5 9 2 0 5 10,908 12,373 13,937 16,957 19,669 1,867 2,086 2,315 2,683 3,005 10,402 11,871 13,414 16,511 19,150 8 ,6 3 8 9,895 11,218 13,958 16,286 | | | I | 1,764 1,975 2 , 196 2,553 2,864 1970 197 1 1972 1973 1974 2,268 1,307 2 , 6 15 4,735 4,579 2,093 1,211 2,431 4,424 4,309 174 96 183 31 1 270 2 2 2 2 3 0 8 9 5 4 2 2 2 2 2 3 3 3 3 3 19,720 19,134 19,663 22,090 24,137 16,708 16,054 16,430 18,579 20,392 | | 3 3 3 3 3 _____ _____ _____ _____ _____ ,3 ,5 ,7 ,3 ,1 _________ _________ 3 3 4 7 0 , , , , , 7 7 8 8 3 6 5 7 4 3 3 5 5 9 0 430 492 516 552 587 | 114 0 0 1 4 6 ,5 ,5 ,4 ,1 ,3 9 0 5 2 6 3 7 8 8 3 ,1 ,2 ,4 ,7 ,9 67 51 20 17 7 1 | | j ,0 ,0 ,2 ,5 ,7 7 9 3 8 6 2 8 5 3 4 12 80 33 11 45 Sector 75. Auto repair and services: Historical dollars (Millions of dollars) Gross i | T o ta l G ross in v e s tm e n t 1 T o ta l S tr u c tu re s E quipm ent $95 9 1 82 $1,668 1,660 1,634 $33 32 29 $129 124 112 I I I 1950 . 1951. 19 5 2 . 1953 . 1954. 194 239 203 279 2 16 I | j I | I 143 176 150 206 159 50 62 52 72 56 1955. 1956 . 1957 . 1958. 1959. 378 574 536 47 1 674 I | | I I I 279 424 396 348 493 19 6 0 . 196 1. 1962 . 1963. 1964. 669 4 17 889 378 1,705 I | | I | 1965. 1966 . 1967 . 1968. 1969. 1,001 1,297 581 1,707 2,1 0 2 | I I | | 1970. 1 9 7 1. 197? . 19 7 3 . 1974. 1 , C84 2,194 1,965 2,580 2,658 I | j I | I I 19 4 7 . 1948 . 1949. Net s to c k s 1 | 1 | | j S tr u c tu r e s Equ i p m e n t $327 355 380 $1,341 1,304 1,253 s to c k s Equ i p m e n t T o ta l __ ____ $995 948 89 1 $290 3 16 38 898 94 1 962 1 ,0 44 1, 0 77 380 434 477 540 586 $ 1,285 1,264 1,229 1,2 1,3 1,4 1,5 1,6 78 76 40 85 64 S tr u c tu r e s 6 1,68 1,77 1,83 1,97 2,06 4 7 5 6 3 | | | | | 1 1 1 1 1 ,258 ,294 ,306 ,381 , 4 19 426 483 529 595 644 98 149 139 122 175 2 2 3 3 3 ,3 ,7 ,1 ,4 ,9 6 0 7 6 6 I | | | | 1,58 1 1,884 2 , 150 2,356 2,70 1 735 876 1,006 1,119 1,285 1,900 2,318 2,680 2,955 3,412 1,225 1,507 1,741 1,907 2,202 674 8 11 938 1,048 1,209 494 308 657 279 1,261 174 108 23 1 98 443 4 4 5 5 6 ,475 ,690 ,345 , 4o4 ,855 | | | | | 3 3 3 3 4 ,0 ,1 ,5 ,5 ,5 2 4 7 9 6 6 3 7 9 8 1,449 1,547 1,767 1,855 2,287 3 3 4 4 5 2,4 2,5 2,8 2,8 3,7 62 02 62 08 16 1,369 1,462 1/6 /7 1,757 2 , 182 740 959 429 1,262 1,555 260 337 15 1 444 546 7,526 8,470 8,6 7 9 9,587 11,638 | I | | j 4 5 5 6 7 ,9 ,6 ,6 ,5 ,6 8 0 7 5 7 9 7 7 3 0 2 2 3 3 3 ,5 ,8 ,0 ,4 ,9 3 6 0 3 6 6 2 2 4 8 6,479 7,318 7,392 8,546 10,016 4 4 4 5 6 ,0 ,5 ,5 ,2 ,2 5 8 2 6 1 6 0 7 2 4 2 2 2 3 3 ,4 ,7 ,8 ,2 ,8 2 3 6 8 0 2 8 5 3 1 282 570 511 67 1 690 12,199 13,792 15,096 16,962 18,843 | I | | j 1 4 4 5 5 6 ,2 ,7 ,2 ,9 ,6 37 94 90 46 19 10,378 11,797 12,907 14,548 16, 165 6,3 7,2 7,8 8,8 9,8 2 1 4 6 4 7 1 9 4 1 4 4 5 5 6 ,0 ,5 ,0 ,6 ,3 5 8 5 3 2 1 5 7 4 4 1 1 1 1 80 1 ,623 ,453 ,908 ,967 1 6 5 7 8 7,96 1 8,998 9,805 11,016 12,223 ,8 ,9 ,5 ,5 ,8 3 6 4 6 9 2 4 0 6 9 Sector 75. Auto repair and services: Constant dollars (Millions of 1972 dollars) — G ross in v e s tm e n t G ross s to c k s Net Year 1 T o ta l Equi pment S tr u c tu re s T o ta l ! Equ i p m e n t S tr u c tu r e s T o ta l 1 1947 . . 1948 . . 1949.. $170 150 129 $73 63 59 $4,730 4,549 4/347 | I | 4,290 4.282 4,218 | | I 4,'.C2 1950 . 1951 . 1952. 1953. 1954. . . . . . 323 36 1 290 4 16 312 219 248 198 289 2 10 104 1 13 91 127 102 4 , : 07 1955. 1956 . 1957 . 1958 . 1959. . . . . . 557 744 676 604 86 1 379 498 455 405 574 177 246 220 198 287 19 60. . 1961.. 1962.. 1963. . 1964. . 852 530 1,138 48 1 2,167 565 35 1 760 324 1,470 287 179 377 157 697 1965. 1966. 196/. 1968 . 196 9 . . . . . . 1,267 1 , 6 18 708 2,000 2,363 869 1,122 495 1,402 1,687 1970 . . 1971.. 1972. . 1973 . . 1974. . 1,154 2,226 1,965 2,534 2,360 834 1,625 1,453 1,910 1,82 1 | ___ | _ Equ i p m e n t S tr u c tu r e s ------------------------ r $243 2 14 188 ________________ s to c k s r $3,344 3,116 2,874 $3,574 3,399 3,214 | | j $2,356 2,146 1, 933 1,556 1,645 1,-00 3, 184 3,213 3,190 3,312 3,341 | | | | | 1,834 1,784 1,707 1,743 1 , 7 12 $1,217 1,252 1,280 1 ; 2 2 2 2 2 ,7 ,6 ,5 ,4 ,4 3 3 0 9 2 4,576 5,040 5,431 5,743 6,306 | | | I | 2 2 3 3 3 ,5 ,8 ,0 ,1 ,4 52 06 15 69 88 2 2 2 2 2 ,0 ,2 ,4 ,5 ,8 2 3 1 7 1 3 4 5 3 8 3,619 4,078 4,451 4,736 5,260 | | I I | 1,856 2,114 2 , 3 15 2,4 5 1 2,738 1,763 1, 9 6 4 2,136 2,285 2,521 6 7 7 7 9 48 48 29 22 71 | | | I | 3 3 4 4 5 ,7 ,8 ,3 ,2 ,3 8 5 0 8 9 7 5 6 9 0 3 3 3 3 4 ,0 ,1 ,5 ,6 ,2 6 9 2 3 8 0 3 3 2 1 5 5 6 6 8 45 74 87 05 91 | | | I | 2 2 3 3 4 ,9 ,9 ,3 ,3 ,3 8 9 8 0 4 8 3 3 1 8 2 2 3 3 3 ,7 ,8 ,2 ,3 ,9 5 8 0 0 4 398 496 213 598 676 10,498 11,655 11,886 13,379 15,175 | I | | | 5,867 6,578 6,646 7,591 8,7 6 1 4 5 5 5 6 ,6 ,0 ,2 ,7 ,4 30 76 40 88 14 1 1 1 1 9,025 0,069 0,148 1,465 3,055 | | | | | 4 5 5 6 7 ,7 ,3 ,2 ,0 ,0 4 5 8 6 5 4 3 4 9 4 4 4 4 5 6 ,2 ,7 ,8 ,3 ,0 8 1 15 6 3 95 0 1 320 60 1 5 11 624 538 15,680 1 7 , 168 18,324 19,997 21,435 | | I | I 3,996 9,933 10,629 11,730 12,682 6,684 7,235 7,695 8,267 8,752 1 1 1 1 1 3 4 5 7 8 | ,8 ,0 ,8 ,9 ,6 4 6 7 2 7 $1,386 1,433 1,473 1,711 1,809 4 ____________________ ______________ L _ __________________ 115 ,7 ,8 ,5 ,6 ,2 ,339 ,639 ,599 ,052 ,239 I | | | I | ______________ L _ 7,091 7,867 8,398 9,314 10,056 1 1 1 1 1 ,3 ,4 ,4 ,5 ,6 50 28 82 69 29 6 1 3 4 3 6,247 6,772 7,20 1 7,738 8 , 182 Sector 76. Amusements: Historical dollars (Millions of dollars) Gross Year I | To ta l 1 9 4 7 ____ 1 9 4 8 ____ 194 9 ____ investment Equipment $420 | 403 | 30 1 | $2 09 20 1 150 Gross 1 | Structures To t a l | j | I $210 20 1 150 $1,893 2,211 2,429 I stocks Equ i p m e n t Net stocks Structures I To t a l Equi p m e n t Structures $1,032 1,169 1,256 $860 1,042 1, 172 I I $1,563 1,872 2,074 $821 952 1,028 $ 74 2 920 1,045 I I I I 2,319 2, 35 1 2, 4 1 0 2, 4 2 7 2,548 1, 123 1,108 1,102 1,072 1,090 1,196 1,243 1,307 1,355 1,458 2,798 3, 29 7 3, 6 8 5 4,105 4,693 1,168 1,370 1,514 1,672 1,912 1,629 1,926 2,17 1 2,432 2, 7 80 1950 ---1 9 5 1 ____ 1 9 5 2 ____ 1 9 5 3 ____ 1 9 5 4 ____ 352 148 185 154 266 I | I | | 175 73 92 77 133 | | | | 176 74 92 76 132 2, 69 7 2,76 1 2, 8 5 5 2, 9 0 9 3,06 1 1,370 1,381 1,407 1,408 1,453 1,327 1,379 1,448 1,501 1,608 1 9 5 5 ____ 1956 ____ 1957 ____ 1 9 5 8 ---1 9 5 9 ____ 4C1 657 553 590 767 | | I | | 200 328 276 295 383 I | | | | 200 328 276 294 383 3, 33 5 3, 8 5 3 4, 2 5 9 4,699 5,3 16 1,552 1,768 1 , 924 2, 09 6 2, 356 1,783 2,085 2,335 2,602 2,959 I I I960 ____ 196 1 ____ 1 9 6 d ____ 1963 ____ 196“+ ____ 867 765 935 934 1,033 | | I | | 433 382 467 467 5 16 | | | | 433 382 467 466 516 6, 0 3 2 6, 6 4 4 7,4 18 8,173 9,0 17 2, 6 6 5 2, 92 0 3, 2 5 2 3, 57 0 3,920 3 ,3 67 3, 7 2 3 4, 166 4 ,6 07 5 ,0 97 I I I I I 5,368 5, 9 2 0 6, 6 1 8 7, 2 8 7 8,023 2, 190 2,398 2, 67 1 2,9 19 3, 139 3, 1 77 3,521 3, 947 4,368 4,834 1965 ____ 1966 ____ 1967 ____ 1968 ____ 196 9 ____ 1,116 1,286 9 11 1,133 1/701 | | | | | 552 636 450 560 842 I | | | 563 649 460 572 858 9,9 16 10,957 1 1,593 12,420 13, 784 4,284 4, 7 0 4 4, 911 5,198 5,738 5,632 6,253 6,682 7,222 8,046 I I I I 8,809 9 ,7 28 10 ,235 10,931 12,161 3, 4 6 5 3, 79 6 3, 9 0 9 4, 10 6 4,558 5,343 5,932 6,326 6,825 7, 6 03 1970 ____ 197 1 ____ 1 9 7 2 ____ 1 9 7 3 ____ 1 9 7 4 ____ 2, 0 6 8 947 1,632 2,318 2,388 | | | | | 1,023 468 807 1,147 1,182 1,044 478 824 1,170 1,205 15,483 16,028 17,225 19,076 20,963 6, 4 2 0 6, 5 3 8 6, 9 5 7 7, 691 8,433 9, 0 5 2 9, 48 9 10,267 11,385 12,530 I I I I 13 ,716 14,100 15,136 16, 81 4 18, 50 3 5, 158 5, 166 5, 4 9 0 6, 122 6, 7 4 7 8,557 8,934 9, 6 4 5 10,691 1 1,756 | i | | __________ L— _______ I __________ Sector 76. Amusements: Constant dollars (Millions of 1972 dollars) G ross in v e s tm e n t G ross s to c k s Net s to c k s Year T o ta l 1 9 4 7 _____ 1948. .. . 1 9 4 9 _____ 1950 195 1 1952 1953 1954 --------_____ _____ --------_____ I Equ i p m e n t S tr u c tu r e s T o ta l i | $5,335 5,775 6,039 I I | Equ i p m e n t $797 702 522 I I | I | $349 320 236 $448 381 286 633 238 290 242 422 | | | | I 268 103 130 110 184 364 134 159 132 238 6 6 6 6 6 0 8 1 3 9 | | | | | 2 2 2 2 2 ,6 ,5 ,5 ,5 ,5 6,892 7,550 8,007 8,521 9,292 | I | | | 2 2 2 3 3 ,4 ,4 ,4 ,4 ,5 2 0 4 1 4 $2,305 2,453 2,523 3 3 6 0 0 ,58 1 ,796 ,922 ,071 ,332 4 4 5 5 5 ,3 ,7 ,0 ,4 ,9 1 5 8 4 6 0 4 4 9 0 5 6 6 7 7 11 63 16 27 86 1,868 2,078 2,204 2,352 2,606 3,742 4 , 184 4,512 4,874 5,380 6,5 7,0 7,7 8 ,3 9,0 6 8 3 6 6 6 8 3 3 0 8,886 9 , 6 19 10,558 11,446 12,422 2,907 3 , 130 3,440 3,721 4,026 5 6 7 7 8 9,807 0,645 1,182 1,838 2,798 13,452 14,628 15,223 16,009 17,351 4 4 4 5 5 ,3 ,7 ,8 ,0 ,4 3 0 4 8 3 9,109 9,907 10,398 11,000 11,897 13,877 14,276 14,986 15,964 16,766 18,924 1 9 , 157 20,003 21,394 22,513 6 5 6 6 7 ,021 ,939 , 167 ,682 ,108 12,903 13,217 13,835 14,712 15,404 _____ _____ _____ _____ _____ 1,240 1,093 1,321 1,303 1,425 | I | | I 530 469 577 575 629 7 10 623 744 727 795 1 1 1 1 1 0,222 1,008 2,021 3,005 4,094 I I | I [ 3 3 4 4 5 ,6 ,9 ,2 ,6 ,0 1965 1966 1967 1968 1969 _____ . . . . . . . . . . . . _____ 1 1 1 1 1 18 04 67 95 91 | | | | | 673 767 530 639 929 844 937 636 756 1,061 1 1 1 1 1 5,252 6,567 7,312 8,252 9,754 | | I I | 5 5 6 6 6 ,444 ,921 ,130 ,414 ,955 1970 197 1 1972 1973 1974 . . . . _____ _____ _____ _____ 2,270 983 1,632 2,221 2,005 I | I I | 1,087 477 807 1,121 1,070 1, 1 8 2 506 824 1,100 935 2 2 2 2 2 1 1 2 4 5 | I | | | 1 7,622 7,645 7,967 3,575 9,104 116 $2,511 2,795 2,980 3 3 3 3 3 1960 196 1 1962 1963 1964 $1,757 1,909 1,975 2,069 1,989 1,926 1,832 1,806 370 550 437 47 1 6 16 _____ l $4,268 4,704 4,956 S tr u c tu r e s 5,311 5,260 5,250 5 , 182 5,286 276 426 343 366 472 0 2 4 9 1 Equ i p m e n t ,785 ,822 ,88 1 ,911 ,045 | I | I | 0 2 5 3 7 T o ta l 3 3 3 3 4 647 977 78 1 837 1,089 ,5 ,9 ,9 ,5 ,8 $3,029 3,321 3,515 4 5 0 2 3 1955. .. . 1956. .. . 1957 . . . . 1 9 5 8 _____ 1 9 5 9 _____ ,5 ,7 ,1 ,3 ,9 S tr u c tu r e s 5 2 8 4 3 5 0 7 2 3 1 1 1 1 ______ ,6 ,2 ,7 ,2 ,9 4 2 2 0 5 ,2 ,2 ,3 ,3 ,4 4 7 2 4 7 2 1 4 9 9 ,979 ,489 , 1 18 ,725 ,3 9 5 77. Medical and educational services, nonprofit organizations: Historical dollars >r (Millions of dollars) G ross in v e s tm e n t G ross s to c k s Net s to c k s Year I I T o ta l 1 Equ i p m e n t 1947 . . 1948 . . 1949. . $63 1 996 1/313 | I | $205 324 427 1950 . . 1951.. 1952. . 1953 . . 1954 . . 1,654 1,921 1,807 1,919 2/304 | I I j j 558 625 588 625 750 1955. 1956 . 1957 . 1958. 1959. . . . . . 2 2 3 3 3 ,491 ,577 ,029 ,324 ,441 | 1 | | | . . .. .. .. .. 3 4 4 5 5 ,7 ,2 ,9 ,1 ,7 5 7 4 8 2 6,279 6,801 7,338 7,739 8,618 1950 1961 1962 1963 1964 1965. 1966 . 1967 . 1968. 19 69. . . . . . 1970 . . 1971.. 19 72. . 1973 . . 1974.. 8,9 9,5 10,2 9,3 9,8 9 6 7 3 7 04 12 61 88 39 S tr u c tu r e s T o ta l Equ i p m e n t S tr u c tu r e s I T o ta l Equi pment $6,124 6,751 7,587 I I I $6,513 7,310 8 ,4 1 3 I I | $997 1,205 1,512 $5,516 6,104 6,901 S tr u c tu r e s $425 67 1 835 $7,450 8,283 9,431 ,1 ,2 ,2 ,2 ,5 15 95 13 93 53 1 1 1 1 1 0 2 4 6 8 ,921 ,674 ,303 ,025 ,104 2 2 3 3 4 ,2 ,7 ,2 ,7 ,3 7 8 6 6 6 2 9 5 5 7 8,648 9,884 1t ,038 12,260 13,737 I I I 9,838 11,500 13,009 14,584 16,490 | | | | | 1,917 2,389 2,792 3,195 3,6 7 7 7 , 920 9,111 10,217 11,339 12,812 8 11 839 936 1, 0 8 3 1,121 1,679 1,737 2,042 2,240 2 , 3 19 2 2 2 2 3 0,331 2,594 5,252 8 , 145 1,094 4 5 6 7 7 ,9 ,6 ,3 ,0 ,8 98 13 23 76 10 15,333 16,981 18,928 21,069 23,283 j I I j 13,519 20,567 22,993 25,651 28,347 | | I I | 4 4 5 5 6 14,353 15,942 17,326 19,898 22,039 I | | | I 1,2 1,3 1,6 1,6 2,0 36 90 20 74 16 2,558 2,876 3,353 3,463 3,755 3 3 4 4 5 4 7 2 6 1 1 4 8 2 7 ,3 ,6 ,6 ,7 ,3 2 8 6 1 0 0 4 8 8 0 | I | j | 6,913 7,604 8,450 9,270 10,345 24 27 30 33 36 ,4 ,0 ,2 ,4 ,9 0 8 1 4 5 I I | I | 2,339 2,4 4 6 3,073 3,241 3 , 6 10 3,939 4,354 4,264 4,497 5,007 56 62 69 75 82 2 7 3 9 6 ,2 ,6 ,3 ,3 ,0 7 3 8 6 1 2 2 3 0 9 | | | | | 1 1,645 12,939 14,736 16,550 18,563 4 4 4 5 5 0 4 8 2 7 ,6 ,6 ,6 ,8 ,4 26 92 46 09 56 | | | | | I 3 3 4 4 4 5 5 5 5 5 82,741 89,327 97,395 104,300 110,867 | | | | | 2 2 2 2 2 6 6 7 7 8 2 7 2 8 3 ,2 ,3 ,8 ,0 ,2 4 4 4 8 5 ,7 ,9 ,2 ,1 ,1 29 34 98 42 22 1 1 1 1 1 _ , 174 ,527 ,962 ,745 , 7 16 ,3 ,9 ,2 ,6 ,5 3 7 6 4 8 $1,326 1,531 1,844 3 9 5 4 2 ,949 ,755 ,006 ,556 86 9 90,333 9 S , « . SC 10 6 , 7 o 3 114,634 122,249 8,60 1 9,486 10,538 1 1,578 12,890 2 2 3 3 3 31 92 26 65 92 j I 3 3 3 4 4 14,452 16,042 18,174 20,377 22,339 42,497 46,712 50,831 5 5 , 178 60,029 I | I I I 5 5 6 6 7 ’ 2 5 3 3 65.040 70, '96 76,177 81,730 87,240 I I I I I 5 7 0 2 5 , , , , , 2 8 5 9 0 9 5 5 0 0 3 3 5 3 8 5 8 1 5 8 ,7 ,4 ,7 ,0 ,6 0 2 4 6 7 , 166 ,625 ,17 1 ,752 ,307 , , , , , 5 4 5 2 6 0 3 5 1 0 1 4 0 2 3 7 0 7 8 4 0 3 4 8 8 J____________ L Sector 77. Medical and educational services, nonprofit organizations: Constant dollars (Millions of 1972 dollars) — — G ross G ross in v e s tm e n t Nat s to c k s r Equ i p m e n t To ta l S tr u c tu re s T o ta l I I $31,562 32,815 34/680 I | | 1 9 4 7 _____ 1 9 4 8 _____ 1 9 4 9 _____ $1,291 1,855 2,476 $342 509 658 $949 1,345 1 , 8 17 1950. .. . 1951 . . . . 1952. .. . 1953 . . . . 1 9 5 4 _____ 3 , 137 3,251 2,990 3 , 169 3,856 8 14 874 814 868 1,011 2,323 2,376 2 , 175 2,30 1 2,844 3 3 4 4 4 7 9 2 4 7 ,2 ,8 ,1 ,6 ,7 0 2 6 4 5 2 5 4 4 9 I | | I I 1 9 5 5 _____ 1956 . . . . 1957 . . . . 1 9 5 8 .... 1 9 5 9 _____ 4 3 4 4 5 ,131 ,947 ,454 ,977 ,165 1,095 1,061 1, 197 1,305 1,331 3 2 3 3 3 ,036 ,385 ,257 ,672 ,833 5 5 5 6 6 1 4 7 1 5 ,0 ,1 ,6 ,5 ,5 84 43 22 37 51 | I I 1960 . . . . 1 9 6 1 .... 1 9 6 2 _____ 1 9 6 3 --------1 9 6 4 _____ 5 6 7 7 8 ,7 ,4 ,3 ,5 ,2 1,452 1,628 1,890 1 , 942 2,317 4 4 5 5 5 ,249 ,777 ,506 ,586 ,942 70,0 75,0 81,0 87,0 93,7 1 9 7 9 6 | I j 0 0 9 2 5 2 5 6 8 9 3 0 0 6 8 1 9 6 5 _____ 1 9 6 6 _____ 1 9 6 7 _____ 1 9 6 8 .... 1 9 6 9 _____ 8,765 9,211 9,466 9,624 10,070 2 2 3 3 3 ,6 ,7 ,4 ,5 ,8 8 7 2 3 6 5 0 6 3 5 6 6 6 6 6 ,079 ,441 ,040 ,085 ,2 0 5 100,856 108,297 115,892 123,533 131,494 1970 . . . . 1 9 7 1 .... 1972. .. . 1973. .. . 1 9 7 4 _____ 9,7 9,8 10,2 9,4 8,2 3 4 4 4 3 ,8 ,0 ,2 ,0 ,7 7 2 9 8 9 2 0 8 5 2 5 5 5 5 4 ,8 ,8 ,9 ,3 ,4 138 146 154 160 165 59 57 61 15 48 3 3 6 2 5 6 6 2 9 5 ,994 ,418 ,046 ,600 ,733 | | | | | | I I | I | I | I _______L s to c k s I Equi pment $2,833 3,059 3,444 4 4 5 5 6 ,0 ,6 ,1 ,8 ,5 0 2 9 0 2 $23,729 29,756 31,236 Equ i p m e n t T o ta l S tr u c tu r e s $27,236 28,361 30,086 2 4 6 9 1 ,4 ,8 ,9 ,1 ,9 3 5 4 4 5 9 5 8 8 2 | I | I 1 3 3 4 4 5 ,2 ,8 ,2 ,7 ,3 4 0 19 99 86 60 2 3 3 3 3 9 1 2 4 6 ,1 ,0 ,6 ,3 ,5 98 36 48 61 92 795 178 910 036 304 4 4 5 5 5 4 7 0 4 7 ,9 ,6 ,7 ,3 ,9 4 4 6 1 6 0 6 6 7 0 I I I I 5 6 6 7 8 ,9 ,4 ,9 ,5 ,1 4 3 8 6 0 3 4 4 4 4 8 1 3 6 9 ,9 ,2 ,7 ,7 ,8 90 13 85 49 51 8,7 0 1 9,398 10,282 11,135 12,279 5 5 6 6 7 3,346 7,345 2,046 6,800 1,882 13,690 15,068 16,972 18,828 20,833 77,071 82,590 87,676 92,773 97,953 3 5 6 8 1 ,2 ,1 ,9 ,8 ,2 7,288 7,965 8 , 7 12 9,500 10,246 4 4 4 5 5 3 6 8 2 5 , , , , , 11,043 11,945 13,039 14,116 15,497 5 6 6 7 7 8 3 3 2 8 ,9 ,1 ,0 ,9 ,2 0 5 0 0 0 62,047 66,743 72,329 77,936 84,161 17, 174 18,857 21,110 23,378 25,857 83,632 89,440 94,781 100,155 105,636 90,761 97,659 104,648 111,602 118,786 2 3 3 3 3 110 115 121 125 129 1 1 1 1 1 08 50 86 99 89 7 4 3 8 7 ,785 ,868 ,060 ,600 ,244 2 3 3 4 4 5 1 8 3 7 ,4 ,8 ,4 ,9 ,9 1 9 9 6 7 9 2 3 0 8 | | | j I | | | | I | | | I | I ________________ 1 117 $ 2 5 , 180 26,059 27,388 3 3 3 3 4 3 3 3 3 4 ,2 ,5 ,9 ,9 ,4 $2,056 2,302 2,698 01 98 70 43 56 0 7 4 0 3 8 0 2 4 6 I | | S tr u c tu r e s 2 2 2 2 2 2 4 6 7 8 ,6 ,3 ,1 ,5 ,3 9 2 1 8 9 43 86 77 15 31 102,775 107,506 112,316 116,445 119,647 Appendix D. Data Series and Level of Detail Available Data Series 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. 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. 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. 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. 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. Replacement investment This series represents discards of worn-out assets and loss of efficiency of the capital stock for each year. Net investment Investment deflators Net investment is the difference between gross invest ment and replacement investment. It represents the net addition or decline in the net stocks from the previous year. This series is used to convert the historical-dollar gross investment series to constant (1972=100) dollars. Replacement functions Gross stocks 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). 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. Level of Detail Vintage distributions 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. 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. Level 1 3 4 5 Gross discards Gross discards represent the value of stocks which are discarded because they have reached the end of their useful service lives. Content 3- and 4-digit SIC and nonmanufacturing sectors 2-digit SIC 1-digit sectors sector totals Industries at levels 1,3, and 4 are numbered according to SIC conventions. Where exceptions to the SIC code exist, 118 an X is inserted in the industry number to denote the exception. For example, 44X1 denotes an industry which is in SIC 44 but is composed of several three-digit industries in SIC 44. Eighty data series are available for each industry at level 1. At all other levels, 64 series are available. Level 1—manufacturing industries 201 202 203 204 205 206 207 208 208X 209 Meat products Dairy products Preserved fruits and vegetables Grain mill products Bakery products Sugar and confectionery products Fats and oils Beverages Alcoholic beverages (includes 2082-5) Miscellaneous foods and kindred products 211 212 213 214 Cigarettes Cigars Chewing and smoking tobacco Tobacco stemming and redrying 221 222 223 224 225 226 227 228 229 Weaving mills, cotton Weaving mills, synthetic Weaving and finishing mills, wool Narrow fabric mills Knitting mills Textile finishing, except wool Floor covering mills Yarn and thread mills Miscellaneous textile goods 231 232 233 234 235 236 237 238 239 Men’s and boys’ suits and coats Men’s and boys’ furnishings Women’s and misses’ outerwear Women’s and children’s undergarments Hats, caps, and millinery Children’s outerwear Fur goods Miscellaneous apparel and accessories Miscellaneous fabricated textile products 241 242 243 244 2448 245 2451 2452 249 Logging camps and logging contractors Sawmills and planing mills Millwork, plywood, and structural members Wood containers Wood pallets and skids Wood buildings and mobile homes Mobile homes Prefabricated wood buildings Miscellaneous wood products 251 252 Household furniture Office furniture 253 254 259 261 262 263 264 265 266 Public building and related furniture Partitions and fixtures Miscellaneous furniture and fixtures Pulp mills Paper mills, except building paper Paperboard mills Miscellaneous converted paper products Paperboard containers and boxes Building paper and board mills 271 272 273 274 275 276 277 278 279 Newspapers Periodicals Books Miscellaneous publishing Commercial printing Manifold business forms Greeting card publishing Blankbooks and bookbinding Printing trade services 281 Industrial inorganic chemicals 281X Aluminum oxide (SIC 28195) 119 282 2821 2822 Plastics materials and synthetics Plastics materials and resins Synthetic rubber 283 284 2844 285 286 287 289 Drugs Soap, cleaners, and toilet goods Toilet preparations Paints and allied products Industrial organic chemicals Agricultural chemicals Miscellaneous chemical products 291 295 299 Petroleum refining Paving and roofing materials Miscellaneous petroleum and coal products 301 302 303 304 306 307 Tires and inner tubes Rubber and plastics footwear Reclaimed rubber Rubber and plastics hose and belting Fabricated rubber products, nec Miscellaneous plastics products 311 313 314 315 316 317 319 Leather tanning and finishing Boot and shoe cut stock and findings Footwear, except rubber Leather gloves and mittens Luggage Handbags and personal leather goods Leather goods, nec 321 322 3221 Flat glass Glass and glassware, pressed or blown Glass containers 323 324 325 326 327 328 329 331 332 333 3331 3333 3334 334 335 336 3361 3362 339 Products of purchased glass Cement, hydraulic Structural clay products Pottery and related products Concrete, gypsum, and plaster products Cut stone and stone products Miscellaneous nonmetallic mineral products Blast furnace and basic steel products Iron and steel foundries Primary nonferrous metals Primary copper Primary zinc Primary aluminum Secondary nonferrous metals Nonferrous rolling and drawing Nonferrous foundries Aluminum foundries Brass, bronze, and copper foundries Miscellaneous primary metal products 341 342 343 344 345 346 3462 3463 347 348 348X Metal cans and shipping containers Cutlery, hand tools, and hardware Plumbing and heating, except electric Fabricated structural metal products Screw machine products, bolts, etc. Metal forgings and stampings Iron and steel forgings Nonferrous forgings Metal services, nec Ordnance and accessories, nec Small arms and ammunition (includes 3482-3) Miscellaneous fabricated metal products 349 363 364 365 3651 366 3661 367 369 3694 371 37IX 372 372X 3721 373 3731 374 375 376 3761 379 3795 381 382 3825 383 383X 351 352 3523 353 3531 Engines and turbines Farm and garden machinery Farm machinery and equipment Construction and related machinery 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 361 362 384 385 386 387 Engineering and scientific instruments Measuring and controlling devices Instruments to measure electricity Optical instruments and lenses Sighting and fire control equipment (includes 38322-38323) Medical instruments and supplies Ophthalmic goods Photographic equipment and supplies Watches, clocks, and watchcases 391 393 394 395 396 399 399X Jewelry, silverware, and plated ware Musical instruments Toys and sporting goods Pens, pencils, office and art supplies Costume jewelry and notions Miscellaneous manufactures Dressed and dyed furs Level 1—nonmanufacturing industries Electric distributing equipment Electric industrial apparatus Household appliances Electric lighting and wiring equipment Radio and TV receiving equipment Radio and TV receiving sets Communication equipment Telephone and telegraph apparatus Electronic components and accessories Miscellaneous electrical equipment and supplies Engine electrical equipment Motor vehicles and equipment Trucks, buses, and truck trailers (includes 3713 and 3715) Aircraft and parts Aircraft engines, spare propulsion units, and parts (includes 3724 and 3764) Aircraft Ship and boat building and repairing Ship building and repairing Railroad equipment Motorcycles, bicycles, and parts Guided missiles, space vehicles, parts Guided missiles and space vehicles Miscellaneous transportation equipment Tanks and tank components 120 0X10 1X10 1X20 1X30 10X1 Agriculture Coalmining Stone and clay mining and quarrying New and repair construction Iron and ferroalloy ores mining 10X2 13X1 1470 4X10 4X20 Nonferrous metal ores mining Crude petroleum and natural gas Chemical and fertilizer minerals Railroads Commercial trucking 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 49X2 49X3 5X10 5X20 6X10 6X20 7X10 7X20 7500 Level 3—nonmanufacturing industries Water utilities Gas utilities Electric utilities Retail trade Wholesale trade Furniture and fixtures Paper and allied products Printing and publishing Chemicals and allied products Petroleum and coal products 30 31 32 33 34 Rubber and miscellaneous plastics products Leather and leather products Stone, clay, and glass products Primary metal industries Fabricated metal products 35 36 37 38 39 Machinery, except electrical Electric and electronic equipment Transportation equipment Instruments and related products Miscellaneous manufacturing industries Public utilities Wholesale and retail trade Finance, insurance, and real estate Services Level 4 —nonmanufacturing industries X I00 X200 X300 X400 X500 Agriculture Mining New and repair construction Transportation 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 Level 3—manufacturing industries 25 26 27 28 29 X520 X600 X710 X720 Level 4 —manufacturing industries 8X10 Health, education, and social services; nonprofit organizations X I00 Business services; research and development Food and kindred products Tobacco manufactures Textile mill products Apparel and other textile products Lumber and wood products Agriculture Mining New and repair construction Transportation Communications X010 Durable goods manufacturing X020 Nondurable goods manufacturing Finance and insurance Real estate and rentals Hotels and repair places except auto repair Amusements Auto repair, services, and garages 20 21 22 23 24 X I00 X200 X300 X400 X510 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 pro grams 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 individ ually 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. 121 Appendix E. Scheme Aggregation 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 manufactur ing (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. 122 Table E-1. Aggregation scheme Aggregations Aggregations Level 1 (basic industry) Level 1 (basic industry) Level 2 Level 3 Level 4 M anufacturing: 2 0 1 ................................... 202 ........................................ 203 ........................................ 204 ........................................ 205 ........................................ 206 ........................................ 207 ........................................ 208 ........................................ 208 X ...................................... 209 ........................................ 14 14 14 14 14 14 14 14 — 14 20 20 20 20 20 20 20 20 — 20 X 020 X 020 X 020 X 020 X 020 X 020 X 020 X020 — X 020 2 1 1 ........................................ 2 1 2 ........................................ 2 1 3 ........................................ 2 1 4 ........................................ 15 15 15 15 21 21 21 21 X 020 X 020 X 020 X 020 2 2 1 ........................................ 222 ........................................ 223 ........................................ 224 ........................................ 225 ........................................ 226 ........................................ 227 ........................................ 228 ........................................ 229 ........................................ 16 16 16 16 18 16 17 16 17 22 22 22 22 22 22 22 22 22 X 020 X 020 X 020 X 020 X020 X 020 X 020 X020 X 020 2 3 1 ............., ........................ 232 ........................................ 233 ........................................ 234 ........................................ 235 ........................................ 236 ........................................ 237 ........................................ 238 ........................................ 239 ........................................ 18 18 18 18 18 18 18 18 19 23 23 23 23 23 23 23 23 23 X020 X020 X020 X 020 X 020 X 020 X 020 X 020 X 020 2 4 1 ........................................ 242 ........................................ 243 ........................................ 244 ........................................ 2448 ...................................... 245 ........................................ 2451 ..................................... 2452 ...................................... 249 ........................................ 20 20 20 21 20 (21) — 61 20 20 24 24 24 24 — — 24 — — 24 X010 X 010 X010 X 010 — — X010 — — X 010 2 5 1 ........................................ 22 25 X010 252 253 25 4 259 ........................................ ........................................ ........................................ ........................................ 23 23 23 23 25 25 25 25 X 010 X010 X 010 X010 2 6 1 ........................................ 262 ........................................ 263 ........................................ 264 ........................................ 265 ........................................ 266 ........................................ 24 24 24 24 25 24 26 26 26 26 26 26 X 020 X020 X 020 X020 X 020 X020 2 7 1 ........................................ 272 ........................................ 273 ........................................ 274 ........................................ 27 5 ........................................ 276 ........................................ 277 ........................................ 278 ........................................ 279 ........................................ 26 26 26 26 26 26 26 26 26 27 27 27 27 27 27 27 27 27 X 020 X 020 X020 X 020 X020 X 020 X 020 X020 X020 2 8 1 ........................................ 281 X ................................... 27 38 (27) 28 28 — — 28 X020 — — X 020 282 ........................................ Level 2 Level 3 Level 4 2 8 22 ...................................... 283 ........................................ 284 ........................................ 2 8 44 ..................................... 285 ........................................ 286 ........................................ 287 ........................................ 289 ........................................ 29 29 — 30 27 27 27 28 28 — 28 28 28 28 X 020 X 020 — X 020 X 020 X 020 X 020 2 9 1 ........................................ 295 ........................................ 299 ........................................ 31 31 31 29 29 29 X 020 X 020 X 020 3 0 1 ........................................ 3 0 2 ........................................ 30 3 ........................................ 304 ........................................ 306 ........................................ 307 ........................................ 32 32 32 32 32 32 30 30 30 30 30 30 X 010 X 010 X 010 X 010 X 010 X 010 3 1 1 ........................................ 3 1 3 ........................................ 3 1 4 ........................................ 3 1 5 ........................................ 3 1 6 ........................................ 3 1 7 ........................................ 3 1 9 ........................................ 33 34 34 34 34 34 34 31 31 31 31 31 31 31 X 020 X 020 X 020 X020 X020 X 020 X 020 3 2 1 ........................................ 3 2 2 ........................................ 3221 ...................................... 32 3 ........................................ 32 4 ........................................ 3 2 5 ........................................ 32 6 ........................................ 327 ........................................ 3 2 8 ........................................ 3 2 9 ........................................ 35 35 — 35 36 36 36 36 36 36 32 32 — 32 32 32 32 32 32 32 X 010 X010 — X 010 X 010 X010 X010 X 010 X 010 X010 3 3 1 ........................................ 3 3 2 ........................................ 33 3 ........................................ 3331 ...................................... 3 3 33 ..................................... 3 3 3 4 ..................................... 33 4 ........................................ 3 3 5 ........................................ 33 6 ........................................ 3361 ...................................... 3362 ...................................... 33 9 ........................................ 37 37 38 — — — 38 38 38 — — 37 33 33 33 — — — 33 33 33 — — 33 X010 X010 X010 — — — X 010 X 010 X010 — — X 010 3 4 1 ........................................ 3 4 2 ........................................ 3 4 3 ........................................ 3 4 4 ........................................ 34 5 ........................................ 346 ........................................ 3 4 6 2 ...................................... 347 ........................................ 3 4 8 ........................................ 3 4 8 X ...................................... 349 ........................................ 39 42 40 40 41 41 37 (41) 38 (41) 42 42 — 42 34 34 34 34 34 34 — — — 34 34 — 34 X 010 X010 X 010 X010 X010 X 010 — — — X 010 X 010 — X010 3 5 1 ........................................ 3 5 2 ........................................ 3 5 2 3 ...................................... 3 5 3 ........................................ 3531 ...................................... 3 5 3 4 ...................................... 35 4 ........................................ 35 5 ........................................ 35 6 ........................................ 43 44 — 45 46 47 48 49 35 35 — 35 — — 35 35 35 X 010 X 010 — X 010 — — X 010 X010 X 010 3463 ..................................... 123 Table E-1. Aggregation scheme— Continued Aggregations Aggregations Level 1 (basic industry) Level 1 (basic industry) Level 2 Level 3 Level 4 356 X ...................................... 3 5 6 2 ..................................... _ _ — — 35 7 ........................................ 357 X ..................................... 358 ........................................ 3 5 8 5 ...................................... 359 ........................................ 51 — 52 — 50 35 — 35 3 6 1 ........................................ 362 ........................................ 3 6 3 ........................................ 3 6 4 ........................................ 3 6 5 ........................................ 366 ........................................ 3651 ..................................... 3661 ..................................... 3 6 9 4 ..................................... 367 ........................................ 369 ........................................ 53 53 54 55 56 56 — — — 57 58 36 36 36 36 36 36 — — — 36 36 X010 X010 X 010 X 010 X010 X 010 — 3 7 1 ........................................ 371 X ..................................... 37 2 ........................................ 3 7 2 X ..................................... 3721 ..................................... 373 ........................................ 3731 ..................................... 37 4 ........................................ 3 7 5 ........................................ 376 ........................................ 3761 ...................................... 59 — 60 — — 61 — 61 61 60 13 (60) 61 13 (61) 37 — 37 — — 37 — 37 37 37 — 37 — - X010 — X010 — X 010 — X 010 X010 X010 — — X010 — - 62 62 53 (62) 63 13 (63) 62 63 63 62 38 38 — — 38 X 010 X 010 — — X010 379 ........................................ 3 7 9 5 ...................................... 3 8 1 ........................................ 38 2 ........................................ 38 25 ..................................... 383 ........................................ 3 8 3 X ..................................... 384 38 5 386 387 ........................................ ........................................ ........................................ ........................................ 35 — — _ — — — — Level 4 64 64 64 64 64 64 18 (64) 39 39 39 39 39 39 — X010 X010 X 010 X010 X010 X 010 — 0 X 1 0 ................................... 1 0 X 1 ..................................... 1 0 X 2 ..................................... 1 X 1 0 ..................................... 1 3 X 1 ..................................... 1 X 2 0 ..................................... 1 5 6 7 8 9 X 100 X 200 X 200 X 200 X 200 X 20 0 X 100 X200 X 200 X200 X 200 X 200 1470 ...................................... 1 X 3 0 ..................................... 4 X 1 0 ..................................... 4 X 2 0 ..................................... 4 X 3 0 ..................................... 10 11 65 65 65 X 200 X 300 X 400 X400 X400 X200 X300 X400 X400 X400 4 1 2 1 ...................................... 4 1 3 0 ...................................... 41 X 1 ..................................... 4 4 X 1 ..................................... 4 5 X 1 ..................................... 65 65 65 65 65 X 400 X 400 X 400 X400 X 400 X400 X400 X400 X400 X 400 4 5 X 2 ...................................... 4 6 1 0 ..................................... 4 8 X 1 ..................................... 4 8 X 2 ..................................... 4 9 X 1 ..................................... 65 65 66 67 68 X 400 X 400 X51 0 X51 0 X 520 X400 X400 X 500 X 500 X500 4 9 X 2 ..................................... 4 9 X 3 ...................................... 5 X 1 0 ..................................... 5 X 2 0 ..................................... 6 X 1 0 ...................................... 68 68 69 69 70 X 520 X520 X600 X 600 X71 0 X500 X500 X 600 X600 X 700 6 X 2 0 ..................................... 7 X 1 0 ..................................... X 1 0 0 ..................................... 7 X 2 0 ..................................... 8 X 1 0 ..................................... 7 5 0 0 ..................................... 71 72 73 76 77 75 X71 0 X720 X 720 X720 X 720 X 720 X700 X700 X700 X700 X700 X700 - - Nonmanufacturing: — X 010 X 010 — Level 3 3 9 1 ........................................ 39 3 ........................................ 39 4 ........................................ 39 5 ........................................ 396 ........................................ 39 9 ........................................ 3 9 9 X ...................................... X 010 — X 010 — X 010 38 38 38 38 Level 2 X010 X010 X 010 X 010 124 Order Form Persons wishing to receive additional capital stock data for industries other than those presented in this bulletin or on com puter 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_______ E nd________ 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: P rintout_____ Cards_____ Computer tap e_____ 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 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 col lective 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 __________________________ __________________ Bureau of Labor Statistics Regional Offices Region I 1603 JFK Federal Building Government Center Boston. Mass 02203 Phone: (617) 223-6761 Region IV 1371 Peachtree Street. NE Atlanta. Ga 30309 Phone: (404) 881-4418 Region V 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 9th Floor Federal Office Building 230 S Dearborn Street Chicago. Ill 60604 Phone:(312)353-1880 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 Region VI Second Floor 555 Griffin Square Building Dallas. T0x 75202 Phone: (214) 767-6971 * Regions VII and VIII are serviced by K an sas City “ Regions IX and X are serviced by San Francisco
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