Hi
 
 THE LIBRARY 
 
 OF 
 
 THE UNIVERSITY 
 
 OF CALIFORNIA 
 
 LOS ANGELES 
 
 GIFT OF 
 
 Hilde Dietzgen Charlton 
 
 In Memory of 
 Her Mother 
 
 ,
 
 library- 
 Institute of Industrial Relations 
 University of California 
 Los Angeles 24, California
 
 ,
 
 Publications of the National Bureau of 
 Economic Research, Incorporated 
 
 NO. 2 
 
 INCOME IN THE UNITED STATES 
 ITS AMOUNT AND DISTRIBUTION 
 
 1909-1919
 
 ,
 
 INCOME IN THE UNITED STATES 
 
 ITS AMOUNT AND DISTRIBUTION 
 
 1909 1919 
 
 BY 
 
 THE STAFF OF THE NATIONAL BUREAU OF ECONOMIC 
 RESEARCH, INCORPORATED 
 
 WILLFORD I. KING OSWALD W. KNAUTH 
 
 FREDERICK R. MACAULAY 
 
 EDITED BY 
 WESLEY C. MITCHELL 
 
 VOLUME II 
 DETAILED REPORT 
 
 NEW YORK 
 NATIONAL BUREAU OF ECONOMIC RESEARCH 
 
 1922
 
 COPYRIGHT, 1922, BV 
 NATIONAL BUREAU OP ECONOMIC RESEARCH, IXC. 
 
 Printed in the U. £. A. 
 
 ,
 
 PREFATORY NOTE 
 
 Income in the United States is published in two volumes. The first 
 volume, which has already appeared, is a summary of the findings, intended 
 for readers who are primarily interested in the results. The present vol- 
 ume gives in full the methods and estimates on which the results shown in 
 the first volume are based. In addition, it goes into many details concern- 
 ing particular industries. 
 
 While the Summary Volume was a joint product of the Staff of the Na- 
 tional Bureau of Economic Research, the detailed estimates now pre- 
 sented are primarily the work of three individuals. Mr. King is responsi- 
 ble for the estimate of the National Income based on the value product of 
 different industries; Mr. Knauth made the estimate based on incomes 
 received by individuals; and Mr. Macaulay undertook the discussion of 
 the problem of the distribution of income by income-classes. 
 
 Unity was preserved by means of many consultations, and the whole 
 book was edited by Mr. Mitchell. Like all the Bureau's publications, the 
 manuscript of the present volume was submitted to the Directors and 
 approved by them; though not before many changes of detail and many 
 suggestions had been incorporated. The Directors have made a construc- 
 tive as well as a critical contribution to the book as it now stands. At 
 some points, where the manuscript was not changed to accord with individ- 
 ual suggestions, the Directors have inserted footnotes to indicate their 
 points of view. 
 
 The present Board of Directors is constituted as follows: — 
 
 Directors-at-Large 
 
 T. S. Adams, Advisor to the U. S. Treasury Department. 
 
 John R. Commons, Professor of Political Economy, University of Wisconsin. 
 
 John P. Frey, Editor of the International Mohters' Journal. 
 
 Edwin F. Gay, President of the New Yorl; Evening Post. 
 
 Harry W. Laidler, Secretary of the League for Industrial Democraey. 
 
 Elwood Mead, Professor of Rural Institutions, University of California. 
 
 Wesley C. Mitchell, Professor of Economics, Columbia University. 
 
 J. E. Sterrett, Member of the firm of Price, Waterhouse and Co. 
 
 N. I. Stone, Labor Manager, Hickey-Freeman Company. 
 
 Allyn A. Young, Professor of Economics, Harvard University. 
 
 V 
 
 .3
 
 vi PREFATORY NOTE 
 
 Directors-by-Appointment 
 
 Hugh Frayne, The American Federation of Labor. 
 David Friday, The American Economic Association. 
 W. R. Ingalls, American Engineering Council. 
 J. M. Larkin, National Personnel Association. 
 W. H. Nichols, Jr., National Industrial Conference Board. 
 George E. Roberts, The American Bankers' Association. 
 Malcolm C. Rorty, The American Statistical Association. 
 A. W. Shaw, The Periodical Publishers Association. 
 Gray Silver, The American Federation of Farm Bureaus. 
 
 .
 
 TABLE OF CONTENTS 
 
 Page 
 
 Prefatory Note 
 
 PART I 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 Chapter 
 
 1. Principles and Methods 1 
 
 § la Basis of Estimates 3 
 
 § lb Business Savings Counted as Income 3 
 
 § lc Net Versus Gross Disbursements 3 
 
 § Id What the Net Value Product Includes 4 
 
 § le Estimating Individual Income from a Study of the Product 
 
 of Industries 4 
 
 § If Impossibility of Measuring Value of Government Service 
 
 to Business 5 
 
 § lg Are Corporate Surpluses Accurately Reported? b' 
 
 § lh Minor Errors and Irregularities in the Tables 7 
 
 § li Possible and Probable Errors of Estimates 7 
 
 § lj General Plan of Presenting Estimates 10 
 
 § Ik Reduction of Values to Money of Constant Purchasing 
 
 Power 10 
 
 § 11 Average Annual Earnings Versus Wage Rates 12 
 
 § lm Interest Payments on Consumption Loans not Deducted 
 
 from Income 12 
 
 2. Preliminary Studies 14 
 
 § 2a An Estimate of the Population of the United States for the 
 
 Intercensal Years 14 
 
 § 2b An Index of the Prices of Consumption Goods Used by 
 
 Manual and Clerical Workers' Families 17 
 
 § 2c Price Indices of Consumption Goods Used by the Well- 
 to-do-Classes 24 
 
 § 2d An Estimate of the Industrial Distribution of the Gain- 
 fully Employed Persons in the Continental United States 31 
 
 3. Agriculture 40 
 
 § 3a Sources of Information 40 
 
 § 3b Methods of Procedure 40 
 
 vii
 
 viii TABLE OF CONTENTS 
 
 Chapter Page 
 
 § 3c The Value of Animal Products 41 
 
 § 3d The Value of Crops Not Fed to Live Stock 50 
 
 § 3e Payments by Agriculture for the Products of Other Indus- 
 tries 51 
 
 § 3f The Net Value Product of Agriculture 54 
 
 § 3g The Share of the Employees 55 
 
 § 3h The Share of the Entrepreneurs and Other Property Own- 
 ers 59 
 
 § 3i The Physical Output of Agricultural Produce 59 
 
 § 3j The Relative Position of Agriculture Among the Industries 62 
 
 § 3k Returns for the Efforts of Farm Operators 62 
 
 4. Mines, Quarries, and Oil Wells 65 
 
 § 4a Sources of Information 65 
 
 § 4b The Share of the Entrepreneurs and Other Property Own- 
 ers 65 
 
 § 4c Total Wages and Salaries 70 
 
 § 4d Number of Employees and Average Earnings 73 
 
 § 4e Total Net Value Product and Share of Employees 74 
 
 § 4f The Mineral Output Compared to Earnings and Population 75 
 
 5. Factory Production 78 
 
 (Covering that part of the private Manufacturing Industry in- 
 cluded in the totals presented by the United States Census of 
 1914.) 
 
 § 5a Importance of the Industry 78 
 
 § 5b The Gross Value of the Products 78 
 
 § 5c The Division of the Net Value Product in the Census Years 84 
 § 5d Mode of Estimating the Net Value Product for Intercensal 
 
 Years 86 
 
 § 5e The Share of the Employees 87 
 
 § 5f The Share of the Entrepreneurs and Other Property Own- 
 ers 91 
 
 § 5g The Fraction of the Net Value Product Paid Out as Wages 
 
 or Salaries 98 
 
 6. Summary of the Hand Trades 99 
 
 § 6a Introduction 99 
 
 § 6b Analysis 101 
 
 7. The Construction Industry 103 
 
 (Shipbuilding Excluded) 
 
 § 7a Introduction 103
 
 TABLE OF CONTENTS ix 
 
 Chapter Page 
 
 § 7b Sources of Data 103 
 
 § 7c The Volume of Construction 103 
 
 § 7d The Aggregate of Wages and Salaries 105 
 
 § 7e The Share of the Entrepreneurs and Other Property Own- 
 ers: First Estimate 107 
 
 § 7f The Share of the Entrepreneurs and Other Property Own- 
 ers: Second Estimate 110 
 
 § 7g Purchasing Power of Share of Entrepreneurs and Other 
 
 Property Owners Ill 
 
 § 7h The Total Value of Construction 114 
 
 8. Summary of Transportation 116 
 
 9. Steam Railway, Switching and Terminal Companies 119 
 
 § 9a Nature of Available Information 119 
 
 § 9b Method of Utilizing Data 119 
 
 § 9c The Net Value Product and Its Distribution 124 
 
 § 9d The Physical Output per Employee 124 
 
 § 9e Growths of Railway Service and of Population Compared 129 
 
 § 9f The Purchasing Power of the Shares in the Net Value 
 
 Product 130 
 
 10. Pullman Car Transportation 133 
 
 § 10a Available Information 133 
 
 § 10b The Share of the Stockholders 133 
 
 § 10c Share of the Employees in the Net Value Product 135 
 
 § lOd Average Annual Earnings of Employees 137 
 
 § lOe The Annual Output per Employee 138 
 
 § lOf Relative Growths of Pullman Service and Population. . . . 139 
 
 11. Express Companies 141 
 
 § 11a Introduction 141 
 
 § lib Disbursements to Security Holders and Building Owners. 141 
 
 § lie Total Share of Security Holders and Building Owners. ... Ill 
 
 § lid The Share of the Employees 143 
 
 § lie The Total Net Value Product and Its Distribution 144 
 
 § 1 If The Number of Employees 140 
 
 12. Street and Electric Railways II s - 
 
 § 12a Census Data Available 148 
 
 § 12b Share of Security Holders and Other Property Owners. . . 148 
 
 § 12c Share of the Employees 150 
 
 § 12d Corporate Savings 151
 
 x TABLE OF CONTENTS 
 
 Chapter Page 
 
 § 12e Average Annual Earnings of Employees 152 
 
 § 12f Purchasing Power of Share of Security Holders and Prop- 
 erty Owners 153 
 
 § 12g The Average Output per Employee 155 
 
 § 12h Relative Growths of Street Car Service and National Popu- 
 lation 15b' 
 
 13. Private Electric Light and Power Companies 157 
 
 § 13a The Census Data 157 
 
 § 13b The Net Value Product and Its Distribution 159 
 
 14. Telegraphs 168 
 
 § 14a The Census Figures 168 
 
 § 14b Disbursements to Stock and Bond Holders 168 
 
 § 14c Corporate Savings 173 
 
 § 14d Purchasing Power of Share of Property Owners and Entre- 
 preneurs 174 
 
 § 14e The Number of Employees and Their Share in the Value 
 
 Product 175 
 
 § 14f Average Annual Earnings of Employees 177 
 
 15. Telephones 179 
 
 § 15a Introduction 179 
 
 § 15b Share of Entrepreneurs and Other Property Owners 179 
 
 § 15c The Net Value Product and Its Distribution 183 
 
 § 15d The Number of Employees 184 
 
 § 15e Average Annual Earnings of Employees 185 
 
 § 15f The Efficiency of the Employees 186 
 
 § 15g Telephone Revenue Compared for Residence and Business 
 
 Telephones 189 
 
 § 15h Relative Growth of Telephone Service and Population. . . . 189 
 
 16. Transportation by Water 191 
 
 § 16a Sources of Information 191 
 
 § 16b Assumption Made 192 
 
 § 16c Mode of Estimating Gross Earnings 192 
 
 § 16d The Share of the Owners and Investors 193 
 
 § 16e The Share of the Employees 195 
 
 § 16f The Net Value Product and Its Division 199 
 
 § 16g The Average Annual Earnings of Employees 199 
 
 § 16h The Tonnage of the American Merchant Marine 201 
 
 17. Banking 202 
 
 § 17a Sources of Information 202
 
 TABLE OF CONTEXTS xi 
 
 Chapter Page 
 
 § 17b The Composition of the Net Value Product 202 
 
 § 17c Net Versus ( Jross Dividends 202 
 
 § 17d Undivided Profits 202 
 
 § 17e The Purchasing Power of Dividends and [nteresl 204 
 
 § 17f Employees, Salaries, and Wages 205 
 
 § 17g The Share of Salaries and Wages in the Value Product.. . 206 
 
 § 17h Banking Facilities Compared to Population and Income.. 207 
 
 § 17i Changes in the Volume of Business per Bank 209 
 
 18. All Braxches of Government 210 
 
 § 18a The Components of the Net Value Product 210 
 
 § 18b The Number of Employees 210 
 
 § 18c The Amount Paid in Wages or Salaries 212 
 
 § 18d The Average Annual Earnings of Employees 213 
 
 § 18e Pensions 215 
 
 § 18f Interest on Public Debts 216 
 
 § 18g The Net Value Product and Its Division 219 
 
 § 18h The Per Capita Net Value Product 220 
 
 § 18i The Share of Government in the National Value Product. . 221 
 
 19. Unclassified Industries axd Miscellaneous Income 223 
 
 § 19a The Field Covered 223 
 
 § 19b Number of Persons Occupied in Unclassified Industries.. . 223 
 
 § 19c The Earnings of Employees 223 
 
 § 19d The Effect of the War on the Number of Employees 224 
 
 § 19e The Profits of Entrepreneurs 225 
 
 § 19f Rents and Royalties 225 
 
 § 19g The Total Share of Enterprise and Property 226 
 
 § 19h Other Classes of Miscellaneous Income 227 
 
 § 19i The Net Rental Value of Owned Homes 228 
 
 § 19j Interest on the Value of Direct Goods 228 
 
 § 19k Profits from Cow-Keeping 22! » 
 
 § 191 Profits from Raising Poultry and ( rardens 230 
 
 § 19m The Division of the Net Value Product 231 
 
 20. Summary of Part 1 233 
 
 § 20a The Average Income per Ammain 233 
 
 § 20b Business Savings 23 1 
 
 § 20c Miscellaneous Summary Tables Not Appearing in Vol- 
 ume 1 235
 
 xii TABLE OF CONTENTS 
 
 PART II 
 
 THE ESTIMATE BY INCOMES RECEIVED 
 Chapter Page 
 
 21. Introduction 249 
 
 § 21a The Problem 249 
 
 § 21b The Method and Data 250 
 
 22. Total Amount of Income Received by Persons Having Over 
 
 $2,000 Per Year 253 
 
 § 22a Introduction 253 
 
 § 22b Estimate from Income Tax Data 253 
 
 § 22c Tax-Exempt Income 260 
 
 23. Total Amount of Income Received by Persons Having Under 
 
 $2,000 269 
 
 § 23a Introduction 269 
 
 § 23b Personal Earnings 269 
 
 § 23c The Earnings of Farm Laborers 289 
 
 § 23d Pensions 291 
 
 § 23e The Rental Value of Homes Owned by Their Occupants. . 291 
 § 23f Income from Investments 294 
 
 24. Farmer's Income 298 
 
 § 24a Introduction 298 
 
 § 24b First Estimate — Based on Total Production and Expenses 300 
 § 24c Second Method — Based on Average Ratio of Expenses to 
 
 Total Product 305 
 
 § 24d Third Estimate — Based on Sample Incomes 308 
 
 § 24e Final Estimate of Farmers' Incomes 310 
 
 § 24f Comparison with Other Estimates 310 
 
 § 24g Farmers Having Incomes Over and Under $2,000 312 
 
 25. Corporate Surplus 314 
 
 § 25a Definition of Corporate Surplus 314 
 
 § 25b The Propriety of Counting Surplus as Part of the National 
 
 Income 314 
 
 § 25c The Genuineness of Reported Surplus Accounts 315 
 
 § 25d The Data 321 
 
 § 25e Conclusions 328 
 
 26. Summary of Part II . . 330 
 
 § 26a The Total Income of the United States, 1910 to 1919 330 
 
 . 

 
 TABLE OF CONTENTS xiii 
 
 Chapter Page 
 
 § 26b The Degree of Error in the Estimate 330 
 
 § 20c Percentage Division of Number of Persons Having Over 
 
 $2,000 and Under $2,000 Income per Year 332 
 
 § 26d The Percentage of the Total Income Obtained by the High- 
 est 5 Per Cent of Income Receivers : 333 
 
 § 26e The Position of the Farmer 333 
 
 § 26f Income in Each Year in Terms of Constant Purchasing 
 
 Power 333 
 
 § 20g The Average Income per ( !apita in Each Year 337 
 
 PART III 
 
 THE PERSONAL DISTRIBUTION OF INCOME IN THE UNITED 
 
 STATES 
 
 27. The Problem 341 
 
 Practical and theoretical difficulties connected with formulation 
 
 of the problem. Relation of personal distribution to factorial 
 distribution. 
 
 28. Pareto's Law and the Problem of Mathematically Describ- 
 
 ing the Frequency Distribution of Income 344 
 
 Pareto's Law. Improbability that any simple mathematical ex- 
 pression adequately describing the frequency distribution of in- 
 come can ever be formulated. Heterogeneity of the data. 
 
 29. Official Income Censuses 395 
 
 The Australian income census of 1915. 
 
 30. American Income Tax Returns 401 
 
 Peculiarities of the tax returns from year to year. Irregularities 
 
 and fluctuations in the distribution of non-reporting and under- 
 statement. The undcr-$5,0()() and over-$5,000 groups. Waives 
 and total income. 
 
 31. Income Distributions from Other Sources Than Income Tax 
 
 Returns 415 
 
 Purposes for which existing distributions have been collected make 
 them extremely ill adapted to our use — picked data. 
 
 32. Wage Distribution 418 
 
 Relations between rates and earnings, earnings and income. Earn- 
 ings per hour, per day, and per week. Distribution of hours
 
 xiv TABLE OF CONTENTS 
 
 Chapter Page 
 
 worked in a week, and weeks worked in a year. Federal returns 
 of income by sources. The problem of deriving one regression 
 line from the other. 
 
 33. The Construction of a Frequency Curve for All Income 
 
 Recipients 424 
 
 An income census the direct and adequate method of solving the 
 problem. Piecing together the existing data. Checking them 
 for internal consistency and agreement with collateral informa- 
 tion. Conjectural nature of final results.
 
 PART I 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 By 
 
 WILLFORD I. KING 
 
 ASSISTED BY 
 
 VIRGINIA SANDMEYER 
 DOROTHY J. ORCHARD 
 KATE E. HUNTLEY
 
 ,
 
 CHAPTER 1 
 
 PRINCIPLES AND METHODS 
 
 § la. Basis of Estimates 
 
 The object of this study is to ascertain the total annual income which 
 the people of the United States derive from each of the leading industrial 
 fields. The method used for ascertaining this total for each industry is 
 first to find out how much income is withdrawn from the industry for indi- 
 vidual use and then to add to this amount the total savings made during 
 the year and retained in their business by all the enterprises engaged in 
 the industry in question. 
 
 § lb. Business Savings Counted as Income 
 
 That business savings really constitute a part of the national income for 
 the year in which they are made has been denied by some students of the 
 subject. The ground for their contention is that such savings merely make 
 possible an increase in the income of future years and hence should be 
 ignored in the income report of the year when the saving is done. 
 
 This method of treating business savings, though plausible, is open to 
 grave objections. The income with which we are dealing throughout this 
 study is book income, that is the amount shown as net gain by an accurate 
 accounting system and is radically different from psychic income which 
 accrues only when the goods render service to the consumer. In the 
 accounts of practically every business, the net income as recorded includes 
 the annual surplus as well as all disbursements to stockholders or owners. 
 This uniform policy shows that a consensus of opinion exists among 
 accountants that savings are a form of income. If the accountants are 
 wrong, we are driven to the conclusion that the amount of the annual income 
 of a corporation may be altered greatly by a vote of the director-, concern- 
 ing the disposition of earnings ! Furthermore, when a corporation reports 
 increased net earnings, even if no dividends are declared, the stock tends 
 to rise sharply in value, and any stockholder may ;it once realize personal 
 income by selling his shares at the enhanced price. For the reasons stated, 
 it seems best to include business savings in the income for the currenf year. 
 
 § lc. Net Versus Gross Disbursements 
 
 A number of the great industrial fields of the United States are domi- 
 nated by corporations and, in such cases, a study of the income created by 
 
 3
 
 4 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 the industry is mainly an analysis of corporation reports. This is emphat- 
 ically true in the case of the various branches of transportation. Now 
 corporations do not show in their published reports the amounts of interest 
 and dividends disbursed to private individuals as contrasted with sums of 
 similar nature paid to other business enterprises. But in making up a total 
 of income for the country, these inter-business payments must be elimi- 
 nated to prevent duplication. The method adopted for accomplishing this 
 result is to deduct from the sum of interest and dividends paid out by a 
 corporation all bond interest and dividends received from other corpora- 
 tions. This plan rests upon the principle that the corporation making the 
 final payment is, in this instance, merely an intermediary between the 
 original corporation and the private investor. This principle seems to be 
 logical although its application occasionally gives rise to certain difficulties 
 in differentiating between disbursements and business savings. 
 
 § Id. What the Net Value Product Includes 
 
 The net value product of each industry is assumed, for the purposes of 
 this study, to include the returns for the services of all persons engaged in 
 the industry, whether these persons are proprietors or employees, and of 
 all property aiding in the productivity of the industry. It has, for example, 
 been assumed that the stockholder or other entrepreneur owning an equity 
 in a plant, the holder of the mortgage on the plant, and the lessor of prop- 
 erty utilized by the business are all alike dependent upon the gains of the 
 enterprise for at least part of their income, and hence may all be classed 
 together as being owners of property devoted to the undertaking. 
 
 § le. Estimating Individual Income from a Study of the Product of 
 
 Industries 
 
 Owing to the form in which the data for some industries are available, 
 it is impossible to estimate directly the amounts of income derived from 
 them by individuals or saved by the business enterprises in the industry. 
 In such instances, one naturally has recourse to the alternative method of 
 subtracting from the gross output of the industry in question all payments 
 made to other industries for the materials or services which they have con- 
 tributed. In following this method, the ideal course of procedure, in the 
 case of any industry, is to deduct from the gross value of its products not 
 only the cost of materials used but also such payments as freight and 
 insurance charges, bank interest, and those taxes which represent the value 
 of government aid and protection, furnished to the industry. The amount 
 remaining after these deductions have been made represents the net income 
 — a quantity which may be either saved or distributed to individuals. In 
 general, every industry is credited with all goods sold to dealers, consumers,
 
 PRINCIPLES AND METHODS 5 
 
 or other industries, and debited with all indirect or production goods 
 received from other industries. Government, like any other industry, 
 
 ought to be credited with the value of its services and debited with the 
 indirect or production goods received from other industries. An indus- 
 try can never be debited with charges for direct or consumption goods, 1 for 
 these are not used to further its business or add to its output. 
 
 Just as industries pay freight charges for the services of railways, so 
 they also pay taxes to meet the cosl of government. In so far as the tax 
 money buys from government indirect (production) goods or secures ser- 
 vices in the form of protection or assistance to the industry, the industry 
 in question evidently ought to be debited with the tax just as it is debited 
 with freight charges. In so far, however, as the tax money paid by an 
 industry goes not to pay for aid to the industry but instead to buy direct 
 government services to individuals, the industry cannot justly be debited 
 with such taxes; for, in such cases, the services of government are not busi- 
 ness aids but are forming part of the consumable income of individuals 
 and therefore fall into the category of direct services — a class which, 
 according to the principles enunciated above, are never to be charged 
 against an industry. 
 
 This line, however, between the taxes that theoretically should and 
 theoretically should not be deducted from the gross value of an industry's 
 output is impossible to draw in practice. Statistically, the only feasible 
 course is to deduct all of the taxes levied on the business. 2 Such a deduc- 
 tion inevitably gives rise in most instances to an error in the final results — 
 unfortunately only one of several types of unavoidable error to which it is 
 necessary to call attention at this point. 
 
 § If. Impossibility of Measuring Value of Government Service to 
 
 Business 
 
 One of the most serious of these errors arises from the impossibility of 
 dividing all services rendered by the various blanches of government into 
 two classes, namely: — 
 
 1. Those rendered to business. 
 
 2. Those serving the people directly. 
 
 This impossibility has compelled us to act on the basis of the assumption 
 that the taxes levied against each field of business are equivalent to the 
 value of the service rendered t<> thai industry by government. This as- 
 sumption is, however, likely to be far from the truth. In 1918, for example, 
 manufacturing corporations paid to the Federal Government $2,112,044,- 
 
 1 Expenses for welfare work, for example, are not deductions from the value product of 
 an industry. 
 
 * See Volume I, Chapter'-', Sec. IV for a further discussion of this point.
 
 6 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 810 as income tax, war profits tax, and excess profits tax, and considerable 
 additional amounts were paid by individual manufacturers and partner- 
 ships operating in this field. Exact statistics are not available, but the 
 indications are that the entire agricultural industry did not pay to the 
 United States Government over $100,000,000 in these classes of taxes. 1 
 It seems highly improbable that in 1918 the Federal Government ren- 
 dered to the manufacturing industry service valued at more than twenty 
 times that furnished to agriculture. It may well be that the aid of the 
 National Government to the farmers' business was worth more than $100,- 
 000,000 but it scarcely appears credible that the manufacturers received 
 service worth over two billions. According to the plan followed in this 
 study, however, the two billions have been considered as an expense to 
 the manufacturing industry and deducted. Any part of this amount 
 which is in excess of the value of the services of the Federal Government 
 to the manufacturers, represents a forced contribution to the general wel- 
 fare and should, in order to obtain the correct figures for 1918, be added 
 to the net value product of manufacturing recorded in this study. 
 
 If this type of error results in an underestimate of the income arising 
 from manufacturing, it may, on the other hand, show too high value prod- 
 ucts for some other fields; for industries may exist which government 
 has served much but taxed little. Unfortunately it is not at all certain 
 that the errors arising from this source cancel out, for we cannot measure 
 even approximately the total value of the service rendered to business 
 by government. It seems likely, however, that, since 1917, business taxes 
 have been more than sufficient to pay for the services rendered to business 
 by all branches of government. If so, this excess should be added to the 
 total income as reported in this study in order to obtain the correct total 
 for the nation. 
 
 § lg. Are Corporate Surpluses Accurately Reported? 
 
 Another possible source of grave errors is found in the estimates of the 
 business savings of the various industries. In most instances these esti- 
 mates have been based upon reported surpluses of corporations operating 
 in that field. It, therefore, becomes a question of prime importance to 
 know whether the reported size of such surpluses is reasonably close to the 
 truth or whether the stated amounts are far too large because of failure to 
 allow sufficient amounts for depreciation, or are entirely too small, because 
 many improvements have been charged to operating expenses. Mani- 
 festly it is impossible to go behind the returns of the reporting concerns, 
 but it is nevertheless possible to ascertain by indirect methods something 
 about the validity of the accounting systems used by the average corpora- 
 
 1 See I . S. Bureau of Internal Revenue, Statistics of Income, 1918, pp. 11 to 16.
 
 PRINCIPLES AND METHODS 7 
 
 tions. If reported surpluses are genuine, they should add to the earning 
 power of the companies accumulating them in proportion to the ratio 
 which these surpluses hear to the total of previous investments. An inves- 
 tigation by Mr. Knauth indicates that, in practice, earnings have increased 
 in just about this proportion. It appears, therefore, that no greal error 
 is likely to arise from the practice of accepting as accurate the amount- of 
 surpluses reported; hence this practice has been adhered to throughout 
 this study. 
 
 § lh. Minor Errors and Irregularities in the Tables 
 
 It is perhaps wise at this point to mention certain mathematical details 
 connected with the presentation of data in the accompanying tables. The 
 basic figures in most instances have such a margin of error that errors in 
 multiplication or division arising from the use of a 12 inch slide rule are of 
 negligible importance, hence this instrument has been frequently used. 
 The result is that a computation by more accurate means will occasionally 
 reveal errors in the fourth significant figure. 
 
 In numbers of instances, original computations have been carried to 
 more places than are shown in the quantities entered in the tables here 
 presented, hence it follows that an item in a total column may differ 
 slightly from the nominal sum of the items in the columns from which the 
 total is derived. 
 
 Owing to the inherent characteristics of the decimal system, when all of 
 the percentages composing a whole are read to any given decimal place, the 
 recorded items may not add up to exactly 100. The same principle applies 
 to decimal fractions. The quantities have been correctly entered, no 
 attempt being made to obtain a total of 100 (or of 1, as the case may 
 by distorting the component parts. 
 
 § li. Possible and Probable Errors of EstLnatss 
 
 It is, of course, impracticable to esti n tte with a iz • of tn ■ 
 
 po ible or probable error in each of the items entering into the total. 
 However, it is clear that the likelihood of error is far greater in some in- 
 stance than in others. An attempt has been made, therefore, to record 
 for each of the principal items two estimates of error: namely, the probable, 
 and 'he maximum reasonable. The probable error is denned as being such 
 that the chances are even that the error is greater or less than the amount 
 stated. The maximum reasonable error \< defined as being so large thai the 
 chances are ten to one that it will not be exceeded. The 1918 estimates 
 for these errors of the various items follow:
 
 8 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 1A 
 
 ESTIMATED ERRORS IN THE ITEMS OF THE NATIONAL VALUE 
 
 PRODUCT IN 1918 
 
 Industry 
 
 i I 
 
 tt 
 
 u 
 
 Mineral Prod 
 tt 
 
 uction 
 
 tt 
 
 it 
 
 a 
 
 a 
 
 a 
 
 Factory Prod 
 
 uction 
 
 tt 
 
 a 
 
 tt 
 
 Construction 
 
 
 tt 
 
 
 Automobile Repairing 
 
 Laundrv .... 
 
 
 Custom Grist Mills. 
 
 a it .. 
 
 Custom Saw Mills.. 
 
 Shoe Repairing. 
 
 Tailoring, Dyeing & 
 
 Cleaning 
 
 Repair of Machines. 
 
 Blacksmithing 
 
 Custom Dressmaking. 
 
 Railways, Switching & 
 Terminal ( !ompanies. 
 
 Railways, Switching & 
 Terminal Companies. 
 
 Pullman Co 
 
 Division 
 
 Crops 
 New Land 
 Animal Products 
 Deductions 
 
 Wages and Salaries 
 
 Rent 
 
 Savings 
 
 Remainder 
 
 Wages and Salaries 
 
 Kent 
 
 Remainder 
 
 Wages and Salaries 
 Remainder 
 
 Total 
 
 Wages and Salaries 
 Remainder 
 
 Wages and Salaries 
 Remainder 
 
 Wages and Salaries 
 Remainder 
 
 Total 
 
 Total 
 Total 
 Total 
 Total 
 
 Wages and Salaries 
 
 Remainder 
 
 Wages and Salaries 
 Remainder 
 
 Millions of dollars 
 
 Size of 
 item 
 
 7,119 
 
 405 
 
 6,189 
 
 -1,031 
 
 1,422 
 214 
 
 79 
 298 
 
 12,378 
 
 137 
 
 3,503 
 
 964 
 317 
 
 367 
 
 106 
 
 84 
 
 2 
 13 
 
 2 
 3 
 
 111 
 
 661 
 61 
 
 210 
 83 
 
 2,763 
 
 807 
 
 24 
 10 
 
 Probable 
 
 error a 
 
 500 
 200 
 500 
 200 
 
 70 
 40 
 20 
 30 
 
 200 
 
 70 
 
 300 
 
 150 
 100 
 
 90 
 
 15 
 15 
 
 1 
 8 
 
 1 
 
 1 
 
 50 
 
 150 
 40 
 SO 
 70 
 
 10 
 50 
 
 3 
 
 1 
 
 Maximum 
 
 reasonable 
 
 error b 
 
 1,500 
 
 COO 
 
 1,200 
 
 400 
 
 250 
 80 
 70 
 
 100 
 
 600 
 200 
 800 
 
 400 
 250 
 
 180 
 
 35 
 70 
 
 2 
 15 
 
 2 
 3 
 
 110 
 
 500 
 
 75 
 
 300 
 
 120 
 
 100 
 
 250 
 
 7 
 4 
 
 a Even chances. 
 
 '- Ten chances to one that the error is not larger than this amount. 
 
 ,
 
 PRINCIPLES AND METHODS 
 
 TA RLE 1 A — C'nnlin lit </ 
 
 9 
 
 
 Division 
 
 Millions of dollars 
 
 Industry 
 
 Size of 
 item 
 
 Probable 
 error 
 
 Maximum 
 reasonable 
 
 error 
 
 Express Co 
 
 Wages and Salaries 
 Remainder 
 
 93 
 
 — 1 1 
 
 1 
 3 
 
 3 
 
 a 
 
 7 
 
 Street Railway 
 
 Wages and Salaries 
 Remainder 
 
 31 1 
 124 
 
 10 
 10 
 
 40 
 
 Commercial Electric Light 
 & Power 
 
 Commercial Electric Light 
 & Power 
 
 Wages and Salaries 
 Remainder 
 
 Wages and Salaries 
 Remainder 
 
 97 
 
 160 
 
 49 
 18 
 
 5 
 
 20 
 
 2 
 2 
 
 15 
 50 
 
 Telegraph 
 
 a 
 
 8 
 9 
 
 Telephone 
 
 Wages and Salaries 
 
 Remainder 
 
 194 
 85 
 
 5 
 6 
 
 15 
 
 
 20 
 
 Transportation by Water.. 
 
 a it it 
 
 Wages and Salaries 
 Remainder 
 
 421 
 85 
 
 30 
 
 20 
 
 150 
 
 60 
 
 Banking 
 
 ti 
 a 
 it 
 
 Wages and Salaries 
 1 )ividends 
 
 Surplus 
 Remainder 
 
 281 
 
 87 
 
 194 
 
 204 
 
 20 
 
 15 
 
 6 
 
 15 
 
 60 
 30 
 20 
 70 
 
 Government 
 
 a 
 tt 
 
 Federal 
 
 State and County 
 Municipal 
 Municipal Utilities 
 Schools 
 Deductions 
 
 3,81 1 
 
 384 
 
 707 
 
 39 
 
 578 
 
 —170 
 
 200 
 30 
 30 
 4 
 15 
 20 
 
 600 
 
 100 
 150 
 
 it 
 
 15 
 
 ti 
 u 
 
 100 
 
 .-,() 
 
 Unclassified Industries. . . . 
 
 It a 
 
 it ti 
 a n 
 
 Wages and Salaries 
 ( Jorporate Profits 
 Individual Profits 
 Rents 
 
 7, ()•_>'_' 
 
 1,017 
 
 4,601 
 
 263 
 
 11)0 
 
 101) 
 
 700 
 80 
 
 1 ,200 
 100 
 
 1,000 
 100 
 
 Miscellaneous Income 
 
 a a 
 it a 
 
 Urban Agriculture 
 Hume Rental Value 
 Interest on ( Jon- 
 sumpt ion ( roods 
 
 364 
 1,237 
 
 1 ,27o 
 
 80 
 
 200 
 
 200 
 
 240 
 600 
 
 600 
 
 Total 
 
 
 60, v. 1 
 
 5,194 
 
 14,900 
 
 
 
 
 1,266 
 
 
 
 
 
 
 Maximum Reasonable Error of Total. 
 
 3,566 
 
 The estimated probable error of the total, as computed by the usual 
 
 formula from the items given, amounts to 1.3 billions. The maximum 
 reasonable error of the total as shown by an experimental test with the 
 items given appears to be about 3.6 billions of dollars. The evidence
 
 10 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 indicates, therefore, that the total is close enough to the truth to meet the 
 needs of most students of the subject, the error presumably being not 
 greater than six per cent and perhaps very much less. 
 
 Since the errors for the other years of the decade are presumably sim- 
 ilar in proportionate size to those in 1918, no separate computations have 
 been made therefor. 
 
 § lj. General Plan of Presenting Estimates 
 
 The general plan of exposition determined upon is to attempt to show 
 for each of the leading industrial fields covered by the Census: — 
 
 1. The net value product. 
 
 2. The share of the employees in the value product. 
 
 3. The average annual earnings derived from the industry by each 
 employee. 
 
 4. The share of the entrepreneurs and other property owners in the net 
 value product. 
 
 5. The purchasing power of each of the above items at prices of 1913. 
 
 6. Changes in the physical output per employee. 
 
 7. Changes in the physical output per inhabitant of the United States. 
 
 8. The average number of employees actually at work 
 
 9. The average number of employees attached to the industry. 
 Frequently it has been possible to determine from the available figures 
 
 other facts of interest and these facts have been worked out to a limited 
 extent. 
 
 In some cases, however, since it has not been feasible to cover even the 
 standard list of inquiries, results have been presented which are not en- 
 tirely complete. 
 
 While an effort has been made to outline the general modus operandi in 
 most instances, it has been found impracticable to present all of the details. 
 Those especially interested in the procedure followed may through personal 
 or written inquiry obtain such additional information as the records of the 
 Bureau afford. 
 
 § Ik. Reduction of Values to Money of Constant Purchasing Power 
 
 The plan of attack decided upon has required that, in most instance!, 
 amounts be first estimated in money of current purchasing power, or, i a 
 other words, in terms of book income. The juice changes during the latter 
 part of the decade have, however, been so large that comparisons of money 
 values for different years tell practically nothing about the variations that 
 have occurred either in the physical volume of business or in the quantity 
 of goods that the income will buy. It has been necessary, therefore, to 
 convert many items into figures representing values in money of constant 
 
 ■
 
 PRINCIPLES AND METHODS 11 
 
 purchasing power. For tins purpose, prices of the year 1913 have com- 
 monly been taken as standard, this year being the base used by the United 
 States Bureau of Labor Statistics and by numerous other organizations. 
 
 The accuracy of the results obtained by such conversions evidently 
 varies in proportion to the correctness of the price indices used as divisors. 
 The United Stat''- Bureau of Labor Statistics "cost of living" index ha- 
 been assumed to be satisfactory for the purpose of reducing wages and 
 salaries to a comparable basis. Since this index has not been computed 
 for the years preceding 1913, it has been necessary to extend it back by 
 means of a special investigation. As a test, this Bureau computed the 
 index for the years 1909 to 1918 and compared the figures for the six oxer- 
 lapping years (1913 to 1918) with the Government figures just mentioned.' 
 The fact that the correspondence between the two index scries proved 
 very close leads to the belief that errors arising from the faultiness of this 
 index series are not of major importance. 
 
 While the general principle to be followed in correcting the income of 
 the working classes is quite obvious, the best method of converting the 
 income from property and enterprise to the 1913 base is not so easy to 
 determine. Since a considerable fraction of personal income of large prop- 
 erty owners is invested rather than immediately consumed, the propriety 
 of using an index of prices of consumption goods as a correcting factor for 
 this type of income may well be questioned. Careful consideration has 
 been given to this point, and the conclusion has been reached that no other 
 price index can as legitimately be used for this purpose. Investments are 
 so heterogeneous in their nature that it is difficult to say jusl what type 
 should be considered and what weighl should be assigned to each. Prices 
 of indirect goods, whether stocks of corporations or commodities at whole- 
 sale are certainly to a large degree, merely reflections of prevailing opinions 
 of what prices of direct (consumption) goods are expected to be at a later 
 date. In so far as this is true, it appears more logical to base a collecting 
 factor for the present date upon prices having their origin in expenditure-; 
 for present consumption than upon those reflecting anticipated future 
 needs. After all, expenditures for consumption goods form no mean pro- 
 portion of the total income of all except the very wealthiest families. It 
 is believed, therefore, that the procedure followed is more logical than any 
 other that can be practically applied. 
 
 It might seem reasonable to deal with business savings by using the same 
 method applied to the personal income of the property owner-. However, 
 it is evident that the immediate function of the first mentioned type of 
 income is to strengthen the business rather than to purchase consumption 
 goods. Normally such savings are invested in new plants or equipment. 
 
 i Sec Section 2b.
 
 12 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 For this reason, the policy has been followed of dividing the business sav- 
 ings in each field of industry by an index believed to approximate the 
 changes in construction costs in that branch of industry for the same year. 
 
 § 11. Average Annual Earnings Versus Wage Rates 
 
 While average annual earnings do not always give a good picture of the 
 absolute economic condition of the employees in an industry at a given 
 time, the3 r are usually distinctly valuable as indices of change in welfare 
 from 3 r ear to year. The wide difference in nature between wage rates and 
 earnings should not be overlooked. Wage rates measure the price of a 
 specific amount of labor; earnings are connected more closely with the 
 economic welfare of the employee and his family. Earnings may be mater- 
 ially reduced by a shortening of hours or an increase in unemployment at 
 the same time that wage rates are stationary. 
 
 The United States Census Bureau commonly reports for various indus- 
 tries the total amount of wages paid and the average number of wage 
 earners emplo3 r ed. If the first quantity is divided by the second, the 
 quotient represents approximately the average earnings of a full time 
 worker, 1 rather than the average earnings of the workers who normally 
 make their living in this field of endeavor. To obtain average annual 
 earnings, it is necessary first to estimate for each year the average number 
 of workers attached to the industry and then to divide thereby the aggre- 
 gate of wages paid. Such an estimate has been made for each industry. 
 The mode of estimating the number of employees attached to, or in other 
 words, normally making their living in a given industry, is discussed in 
 Chapter 2. 
 
 § lm. Interest Payments on Consumption Loans Not Deducted from 
 
 Income 
 
 One of the most puzzling theoretical problems encountered daring the 
 investigation has to do with interest on loans made for the purpose of pur- 
 chasing goods for direct consumption. Does sound logic require the deduc- 
 tion of such interest pajmients from the gross income of the borrower, 
 when calculating his net income? The practical bearing of the question is 
 principally in connection with the Liberty Loans which represent billions 
 borrowed from the bond buyers by the citizens in general in order to obtain 
 such immediately consumable war supplies as powder and shells. The 
 bonds were originally held by persons advancing money to relieve others 
 from paying at that time their respective proportions of the cost of the war. 
 This advance of money did not necessarily add anything to the aggregate 
 
 1 A full time worker is one who works the number of hours designated by the employer 
 as "full time." For a fuller discussion, see § 2d.
 
 PRINCIPLES AND METHODS 13 
 
 of the actual physical product. It merely meant that potential tax- 
 payers retained too large an income during war lime on the understanding 
 that they pay a bonus, known as interest, for the privilege of meeting, 
 from later income, their full share of the burden. It may be contended, 
 therefore, that if interest receipts are included in the total income of the 
 people, it is only fair to deduct these amounts from the incomes of the 
 taxpayers. 
 
 The opposite point of view which has led to the inclusion of these interest 
 payments in the net value product is that the advantage to the taxpayers 
 of being allowed to postpone the time of payment was evidently felt to be 
 real enough to make them willing to pay money for the privilege. Further- 
 more, if the taxpayers feel that the privilege of postponing the assumption 
 of their respective shares of the burden is not worth the interest charge, 
 they always have the option of paying off the debt. According to the defi- 
 nition followed in this study, an advantage of the type just mentioned is a 
 service which constitutes income, and such income must be added to the 
 actual physical product in order to arrive at the net value product, or in 
 other words, at the total income of the country. 
 
 Similar reasoning applies with equal force to interest on all sums 
 borrowed for the purpose of obtaining consumption goods, whether the 
 borrowing is done by government or by private individuals. 
 
 While the arguments just stated have seemed to be weightier than any 
 on the opposite side, it must nevertheless be admitted that a strong case 
 can be presented for pursuing the opposite course in this computation 
 and for this reason, government interest payments have been segregated 
 so that those who prefer may subtract them from the estimates of aggre- 
 gate national income for the various years (as presented in Volume I), in 
 order to secure totals according with their beliefs.
 
 CHAPTER 2 
 
 PRELIMINARY STUDIES 
 
 § 2a. An Estimate of the Population of the United States for the 
 
 Intercensal Years 
 
 In the course of the present investigation, it has been found essential 
 to have a reasonably accurate estimate of the population of the United 
 States for each of the intercensal years. The method of interpolation used 
 in obtaining the estimates presented in the Statistical Abstract of the 
 United States consists in taking one-tenth of the arithmetic increase since 
 the preceding Census and adding this amount to the Census figure to find 
 the population for the next year; similarly the population for each of the 
 succeeding years is calculated by adding this same number to the estimate 
 for the year previous. This process is a straight line extrapolation and has 
 nothing but simplicity to commend it, for, when applied, errors of consid- 
 erable size gradually accumulate as changing conditions affect population 
 growth. For example, the Census shows a population on January 1, 
 1920, nearly two millions less than that given by following the method just 
 described. Is there a more accurate way of estimating the population in 
 advance of the Census? If so, what is it? In the hope of answering these 
 questions, the following study has been made. 
 
 For recent years, the Census Bureau has compiled figures showing the 
 birth rate and the death rate for the registration area and this registration 
 area has been steadily growing larger until it now appears to be fairly rep- 
 resentative of the country as a whole. The Commissioner of Immigration 
 presents annual statistics showing the number of aliens admitted and 
 departed. It seemed to the Staff of this Bureau that these figures might 
 readily be used as a basis for estimating the population, year by year. 
 This view was later endorsed by officials of the United States Census 
 Bureau. 
 
 The mode of procedure followed has been relatively simple. The birth 
 rate and the death rate are given for the calendar year while immigration 
 is reported for the fiscal year. By aid of smoothed curves, the birth and 
 death rates have been estimated for the fiscal years and the excess of the 
 birth rate over the death rate has been calculated. The population for 
 June 30, 1910, has been estimated according to the method employed in 
 the Statistical Abstract. The estimated excess of the birth rate over the 
 
 14
 
 PRELIMINARY STUDIES 15 
 
 death rate has been applied to this population to find the increase dm 
 the excess of births over deaths during the fiscal year ending June 30, L911. 
 This amount plus the excess of immigration over emigration has been 
 added to the population estimate for June 30, 1910. and the resulting sum 
 has been assumed to be the population for June 30, 1911. This number 
 has been taken as a new base and the process has been repeated for the 
 next year — and so on up to t ho ( Jensus of 1920. The estimate thus arrived 
 at for January 1, 1920, is in error by approximately half a million, or only 
 about one-fourth of the corresponding error resulting from the method of 
 estimate used in the Statistical Abstract, ft has been assumed that the 
 error was equally distributed among all intercensal years and. by cor- 
 recting in accordance with this assumption, a revised preliminary estimate 
 of the population for each year has been secured. 
 
 Since the Census estimates of birth and death rates for the various years 
 are based upon population estimates which are considerably too high for 
 the last years of the decade, it seems probable that these reported birth 
 and death rates are both somewhat too low for the period just mentioned. 
 Following this assumption, these rates have been increased in the same 
 ratio that the Census estimate of population bear- to the revised prelim- 
 inary estimate made according to the procedure described above. These 
 revised rates have been applied to the revised preUminary estimates of 
 population and the products have been taken as the net additions to the 
 population arising from the excess of births over death-. By use of these 
 increments and those due to the excess of immigration over emigration, 
 the population has been again built up year by year on the basis of the L910 
 Census. The estimate obtained in this manner for January 1, 1920. differs 
 by only 414,000 from the Census count at that date. 
 
 This difference has been apportioned equally among the various years 
 of the decade giving as a final estimate the figures shown in the accom- 
 1 anying table.
 
 16 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 2A 
 
 AN ESTIMATE OF THE POPULATION OF THE UNITED STATES FOR THE INTERCENSAL 
 
 YEARS 
 
 
 Estimated number 
 per thousand inhabitants 
 
 Estimated thousands 
 added during the fis- 
 cal year '' to the popu- 
 lation of the U. S. by 
 excess of 
 
 Estimated popula- 
 tion of the Con- 
 
 Date 
 
 Calendar year 
 
 Excess of births 
 over deaths 
 
 tinental U. S. 
 (Thousands) 
 
 
 Births/ 
 
 Deaths '< 
 
 Cal- 
 endar 
 year 
 
 Fisca 1 
 year o,c 
 
 Births 
 
 over 
 
 deaths J 
 
 Immigration 
 
 over 
 emigration k 
 
 June 30 ' 
 
 Jan. 1 m 
 
 1909. 
 
 20 . 2 9 
 
 25. 8o 
 
 25 . 6 9 
 25 .4 9 
 
 25.2 9 
 25.0 9 
 24.9 
 
 24.8 
 
 24.0 
 24.4 
 24.2 
 
 14.4 
 
 15.0 
 
 14.2 
 13.9 
 
 14.1 
 13.6 
 13.5 
 
 14.0 
 
 14.2 
 17 7 
 12.9 » 
 
 11.8 
 
 10.8 
 
 11.4 
 11.5 
 
 11.1 
 11.4 
 11.4 
 10.8 
 
 10.4 
 
 6.7 
 
 11.3 
 
 12.0 
 
 11.3 
 
 11.1 
 11.5 
 
 11.3 
 11.3 
 
 11.5 
 11.2 
 
 10.6 
 10.3 
 
 5 S 
 14.6& 
 
 1,078 
 
 1,033 
 
 1,033 
 1 088 
 
 1 ,088 
 1,110 
 1,147 
 1,131 
 
 1,084 
 1,067 
 607 
 7716 
 
 544 
 818 
 
 512 
 
 402 
 
 815 
 
 769 
 
 50 
 
 126 
 
 216 
 19 
 21 
 
 716 
 
 90,370 
 
 (91,972d) 
 
 92,229 
 
 93,811 
 95,338 
 
 97,278 
 
 99,194 
 
 100,428 
 
 101,722 
 
 103,059 
 104,182 
 104,847 
 106,357 
 
 89,557 
 
 1910 
 
 1911 
 
 1912 
 
 1913 
 
 1914 
 
 1915 
 
 91,340 
 
 (91,97L'(/) 
 
 93,070 
 
 94,600 
 
 96,290 
 98,310 
 99,870 
 
 1916 
 
 1917 
 
 1918 
 
 1919. 
 
 101,080 
 
 102,410 
 
 1(13,660 
 104,310 
 
 1920. 
 
 105,709e 
 
 (I Corrected to account for adjustments in population used as a base; quantities read from a curve. 
 
 b This is an estimate for the last half of 1919 only. 
 
 c Ending June 30 of the given year. 
 
 d Census count for April 15, 1910. 
 
 e Census count for January 1, 1920. 
 
 /Census Bureau, Birth Statistics for the Birth Registration Area of i lie United States. 
 
 Estimated from a smoothed curve produced. 
 h Statistical Abstract of U. S. for 1919, p. SO. 
 
 i Preliminary estimate by Census Bureau. 
 
 J Rates in preceding column times the population calculated by the preliminary method described in 
 the text. 
 
 k From Statistical Abstracts of the U. S. 
 
 1 For mode of derivation, see text. 
 
 m Derived from the immediately preceding column by aid of a smoothed curve. 
 
 It is true that it would be impossible to obtain results of the degree of 
 accuracy here presented were it not for the existence of a Census count at 
 each extremity of the period studied. Nevertheless, by following practi- 
 cally the same method, omitting only the adjustments used to make the 
 data conform to the Census of 1920, it appears that the estimate for Jan- 
 uary 1, 1920, would be in error by only about 495,000. 
 
 It is not improbable that even this degree of error might be reduced 
 somewhat if one used monthly instead of annual figures for immigration 
 and the rales for births and deaths. Doubtless other refinements might 
 be introduced. However, the residual error after applying the simple 
 method just presented is unimportant for most practical purposes. It 
 seems, therefore, that this plan of estimating the population of the United 
 States for intercensal years is well worthy of the consideration of statis- 
 ticians. 
 
 An interesting by-product of this study is the light thrown upon the 
 ultimate apparent effect of the influenza epidemic of 1918 upon the popu- 
 lation of the country. The fatality caused by the disease was so great
 
 PRELIMINARY STUDIKS 17 
 
 that the population on January 1, 1919, was but little larger than on 
 June 30, 1918. This fact is not at all surprising, but the remarkable feature 
 is that the death rate during 1919 was so much reduced (despite the exten- 
 sive recurrence of influenza in that year) that the population on January 
 1, 1920, was probably little if any less than it would have been had the 
 influenza epidemic not occurred. 
 
 These figures lead one to inquire whether influenza ought not to be 
 regarded principally as a hastener rather than as a primary cause of the 
 death of its victims. The only other reasonable explanations of the great 
 fall in the death rate for 1919 would seem to be that influenza had a bene- 
 ficent effect in stimulating the health of the survivors or that some un- 
 known cause greatly interfered with the action of deadly diseases in 1919. 
 Neither of these latter assumptions seems as probable as the hypothesis 
 suggested in the original query. 
 
 § 2b. An Index of the Prices of Consumption Goods Used by Manual 
 
 and Clerical Workers' Families 
 
 Data showing the average annual money wages or annual book income 
 received by any class of workers have little meaning unless such wages or 
 income are compared with the changes in the average prices of the goods 
 usually bought by such workers. The recent wide variations in the price 
 level have made this fact evident even to the most casual observer. It is, 
 therefore, essential that a reliable index of prices paid for commodities 
 consumed by the working classes be at hand. 
 
 Recently, the United States Bureau of Labor has published such an 
 index number covering the years 1913 to date, but it has presented none 
 for the years 1909 to 1912. The index number worked out by the National 
 Bureau of Economic Research is the result of an attempt to fill in this gap. 
 Unfortunately, complete data are not available for all fields; hence it has 
 been necessary to use estimates of doubtful value in place of actual figures 
 for certain items. For example, no figures showing the trend of house 
 rents for the earlier half of the decade have been discovered. Other missing 
 items are, fortunately, mostly those of very minor importance. 
 
 In constructing the price index, the classification made by the United 
 States Bureau of Labor has been followed closely, all commodities being 
 divided into six general classes: — namely, Food, Clothing, House Furnish- 
 ings, Housing, Fuel and Light, and Miscellaneous. In the case of each 
 group, the index has been constructed to cover the period 1909-1919. the 
 year 1914 being used as the base year. In deriving the index number here- 
 with presented, recourse has been had to two apparently distinct but actu- 
 ally related methods of computation; first, the comparison of aggregates 
 of actual' prices based upon the estimated quantities used in the base year;
 
 IS THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 second, the weighted arithmetic average of relatives, the weights used 
 being likewise the quantities assumed to have been used in the base year. 
 Since the same base year and the same weights have been used, the two 
 methods necessarily give identical results — as can easily be demonstrated 
 by simple arithmetic. 
 
 The reason for varying the method lies in the fact that the original data 
 were partly in the form of actual prices and partly in terms of relative 
 numbers only. In the case of fuel and light, for example, the Bureau of 
 Labor reports furnish relative numbers from 1909 to 1914 and actual prices 
 from 1914 to date. Under such circumstances, convenience dictated the 
 use of the particular method of computation that involved least labor. 
 In the main, the procedure was as follows: Aggregates of prices were 
 computed for the sub-groups; these aggregates were reduced to relative 
 numbers; and these relatives were then weighted and combined to give 
 the final index. 
 
 Food. 
 
 For the food group, the index number constructed by the Bureau of 
 Labor and published in the Monthly Labor Review each month seems to be 
 entirely satisfactory and hence has been used. In recent years, that index 
 number is based upon the year 1913. For our purposes, it has been neces- 
 sary to adjust it to the common 1914 base. This has been done by dividing 
 each annual index by the index number given for 1914 and multiplying 
 the results by 100. 
 
 Clothing. 
 
 The articles of clothing included in this group, and the weights used are 
 based upon the list given by the Bureau of Labor in the Monthly Labor 
 Review for November, 1919, pp. 2 to 14 — a list showing the actual appor- 
 tionment of expenditures for clothing by working families of Northern 
 and Southern Cities. Since it is not easy to find quotations of clothing 
 prices which are comparable from year to year, it was decided to have 
 recourse to figures quoted by some mail order house, for by use of the cata- 
 logue, it is possible to identify with a fair degree of accuracy the same 
 article in different years. Sears, Roebuck & Company were kind enough 
 to place a series of their catalogues at our disposal. From these were 
 selected forty-three articles of men's clothing and forty-four articles of 
 women's wear, which seemed to be practically identical in quality through- 
 out the decade under consideration. The price of each article was then 
 multiplied by the average number of units purchased per family per year, 
 as shown by the Bureau of Labor study above mentioned. As the figures 
 are given for Northern and Southern cities separately, an average weight
 
 PRELIMINARY STUDIES 19 
 
 for the country was made by weighting the Northern cities two and the 
 Southern cities one, the larger weighting being given to the North because 
 that section is so much more populous. 
 
 A total value for each article having been thus calculated, the values for 
 the various articles were next summated in order to obtain an aggregate 
 value for all articles in the given year. The aggregate value for 1914 was 
 then taken as a base and called 100, and indices for other years were de- 
 rived by a comparison of the relative sizes of the aggregate values. 
 
 House Furnishings. 
 
 As in the case of clothing, the weighting system is based upon a list pub- 
 lished by the Bureau of Labor 1 showing the average annual expenditure 
 by working families in the cities of the United States for various articles 
 of furniture and the number of each item of furniture purchased each year 
 by the average family. As in the case of clothing, the prices have been 
 taken from the annual 2 catalogues of Scars, Roebuck & Company. The 
 method of computation used is identical with that already described for 
 clothing. 
 
 Fuel and Light. 
 
 In working up an average index of prices of fuel and light, it was possible 
 to get satisfactory quotations for coal (anthracite and bituminous), man- 
 ufactured gas, and electricity. 
 
 The prices on January 15th and July loth of each year from 1914 to 
 1919 for coal in ton lots for household use are published in the Monthly 
 Labor Review. 3 Separate quotations are given for bituminous coal and 
 two kinds of anthracite, namely, stove and chestnut. The actual prices 
 for the years 1914 to 1919 were reduced to relatives on the 1914 base. 
 Relative prices for each of the three; items had already been computed by 
 the Bureau of Labor Statistics for the years 1909-19 14, 4 and were simply 
 transcribed as quoted. 
 
 The mean of the relatives for stove and chestnut coal was used as 
 representative for anthracite. The relative numbers for anthracite and for 
 bituminous coal were then weighted by the respective annual costs per 
 average family in the year 1919 for the two varieties of coal as shown by 
 figures published in the Monthly Labor Review? 
 
 Manufactured Gas: The average net price per 1000 cubic feet of gas 
 
 1 Monthly Labor Review, Jan. 1920, pp. 27 34. 
 
 *Clothng prices were taken from the spring catalogue issued Jan. 1st, and furniture prices 
 from the autumn catalogue issued Sept. 1. The indices fur each group have Keen adjusted 
 to the middle of the year before computing the average price index for all commodities. 
 
 3 Monthly Labor Review, March, 1920, p. lY.i. 
 
 1 Statistical Abstract of the U. S., L915, p. 531, table .'500. 
 
 ' Monthly Labor Review, Sept. 1920, pp. 92-99.
 
 20 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 was computed by taking quotations of the price of gas from a number of 
 widely distributed cities x and getting the average of these quotations. 
 These averages wore reduced to relatives on the 1914 base. The annual 
 cost of gas per average family per year was ascertained from the Bureau 
 of Labor Statistics report 2 and the relative prices of gas were weighted by 
 this figure. 
 
 Electricity: Estimates of the average price per kilowatt hour of elec- 
 tricity used in residences in New York City were obtained from the New 
 York Edison Company, and these were reduced to relative prices on the 
 1914 base. As in the case of coal and gas the average cost per family 
 per year was derived from information published in the Monthly Labor 
 Review 2 and the relative prices of electricity were weighted by this 
 figure. The sum of the weighted relatives for these various items making 
 up the fuel and light group, was divided by the sum of the weights used 
 and the resulting figure was taken as the index for this group. 
 
 Housing 
 
 In their recent investigation into the cost of living, the National Indus- 
 trial Conference Board made a study of changes in the cost of Shelter 3 
 during the period 1914-1919, using 1914 as the base year. The results of 
 this study are charted in their report, and from this chart have been read 
 the index numbers used in making up our average index. 
 
 Careful search has failed to bring to light any information whatever 
 concerning the course of house rents before 1914. As the years 1909 to 
 1914 were characterized by a relatively stable level of prices, it has seemed 
 best to assume that house rents remained unchanged during this interval 
 and hence to use 100 as the index for each year. 
 
 Miscellaneous Expenditures. 
 
 In constructing the index number for the miscellaneous group, again 
 the weights were based upon the information given in the Monthly Labor 
 Review.* After much difficult}', approximate price quotations were 
 secured for thirteen items of this list, namely, railway passenger fares, 
 telephone rates, street car fares, automobile repairs, automobile tires, 
 gasoline, moving picture tickets, newspapers, magazines, college tuition, •' 
 room and board at college/' hotel rates for lodging,"' and retail prices 
 of tobacco, and these items were assumed to be fairly representative of 
 the miscellaneous group. 
 
 ' Statistical Abstract of the U. S., 1917, p. 5.",); 1919, p. 576. 
 
 2 Monthly Labor Review, Sept. 1920, pp. 92-99. 
 
 1 National Industrial Conference Board, Research Report, No. 28, May, 1920. 
 
 ' Nov. 1919, pp. 15-19. 
 
 5 These items are of minor importance and hence are weighted lightly.
 
 PRELIMINARY STUDIES 21 
 
 The actual prices of each article were reduced to relatives on the base 
 1914. The relatives were then weighted by the average cost per family 
 for each item as shown by the Bureau of Labor study for 1919. The sum 
 of the products for each year was divided by the sum of the weights for 
 the same year in order to arrive at the index number for that year. 
 
 Average Index for all Expenditures for Consumption Goods. 
 
 The average indices for the separate groups having been obtained for 
 the various years by the methods above described, the next step was to 
 combine them into an index representing the entire expenditures for con- 
 sumption goods. This combination was effected by multiplying the indices 
 by weights representing, for 22 cities in the United States in which the 
 United States Bureau of Labor Statistics conducted investigations in 1919, 
 the per cent of all expenditures, devoted to each class of items. 1 The 
 actual numbers used as weights are as follows: 
 
 Item of expenditure per cent of total 
 
 expenditure 
 All purposes 100 
 
 Food 38.2 
 
 Clothing 16.6 
 
 Housing 13.4 
 
 Fuel and Light 5.3 
 
 House Furnishings 5.1 
 
 Miscellaneous . . . 21.3 
 
 The sum of the products for each year was divided by the sum of the 
 weights for the same year to obtain the average index for that year. The 
 final results of the study are presented in the accompanying table. 
 
 The fact that the indices from 1911 to 1919 correspond so closely to 
 those computed by the Bureau of Labor Statistics makes it appear proba- 
 ble that the indices for the years 1909 to 1913 are also not far from the 
 truth. The only important reason for suspecting any greater margin of 
 error in the earlier years is the absence of rent data for that period. How- 
 ever, it is improbable that there were variations in this relatively small 
 item sufficiently great to vitiate materially the average indices for the 
 whole group. It seems safe, therefore, to use the figures presented as a 
 representative index of the average 1 prices of those consumption goods pur- 
 chased by the working classes of our population during the different years 
 of the decade under consideration. 
 
 1 Monthly Labor lit vine, October, 1920, p. 65.
 
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 24 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 Since the facilities of the United States Bureau of Labor Statistics are 
 so much more extensive than any at the command of this Bureau, it seems 
 fair to assume that their index number is the better one to follow for the 
 period actually covered, and hence, in the practical application of the index 
 number for the purpose of reducing the book income of the working classes 
 to terms of purchasing power, the index number shown in Table 2C is the 
 one which will actually be used. This is simply the Bureau of Labor Sta- 
 tistics index carried backward to 1909 by assuming that, for the earlier 
 years, it varies in the same ratio as the index for all consumption goods 
 shown in the first column of Table 2B. 
 
 TABLE 2C 
 
 A COMPOSITE INDEX NUMBER SHOWING THE AVERAGE PRICES OF 
 CONSUMPTION GOODS USED BY MANUAL AND CLERICAL WORKERS, 
 THE INDEX BEING BASED UPON INVESTIGATIONS BY THE UNITED 
 STATES BUREAU OF LABOR AND THE NATIONAL BUREAU OF ECO- 
 NOMIC RESEARCH 
 
 Middle of 
 Year 
 
 Index of Average Retail Prices 
 
 Base 1913 
 
 1909. 
 
 95 . 5 a 
 
 
 1910. . . . 
 
 97. 8 a 
 
 
 1911 
 
 98. 4 « 
 
 
 1912 
 
 99.4 a 
 
 
 1913 
 
 100 . b 
 
 
 1914. . . . 
 
 101. b 
 
 
 1915 
 
 103. b 
 
 
 1916. . . 
 
 110. b 
 
 
 1917 
 
 129. b 
 
 
 1918. 
 
 158 . b 
 
 
 1919. ... 
 
 177.3c 
 
 
 1920 
 
 216.5c 
 
 
 
 
 
 a National Bureau of Economic Research; derived from Table 2B. 
 
 b U. S. Bureau of Labor, Monthly Labor Review, June, 1920, p. 79. 
 
 r U. 8. Bureau of Labor, Monthly Labor Review, October, 1920, p. 65. 
 
 The more complete data are presented in the hope that they may be of 
 assistance to other workers in this field. 
 
 § 2c. Price Indices of Consumption Goods Used by the Well-to-do 
 
 Classes 
 
 Many studies have been made of the changes that have occurred in the 
 prices of consumption goods bought by the "working people," but this 
 Bureau has not succeeded in discovering any index showing variations in 
 the prices of those commodities consumed by the wealthier classes. Yet, 
 
 ,
 
 PRELIMINARY STUDIES 25 
 
 in any study of the changes in the relative welfare of the different sections 
 of the population, it is, of course, imperative that such an index be avail- 
 able, especially in times of rapidly shifting price levels when quantities 
 shown in terms of money value are almost meaningless. With the hope of 
 filling the gap in the available statistics along this line, the computation 
 of an index of the above mentioned type was undertaken. 
 
 It was found that the most feasible form of procedure was first to obtain 
 relative prices for a number of specific classes of commodities and then to 
 compute therefrom a weighted arithmetic average index number, using as 
 constant weights the relative expenditures in a given year for each class 
 of articles. The first problem, then, was to estimate the proportion of 
 expenditures going for each purpose. 
 
 Recently, the Federal Reserve Board made a study of the apportion- 
 ment of income made by its employees. The relative distribution there 
 shown differs somewhat from that known to exist for wage workers. It 
 therefore seemed reasonable to suppose that the apportionment of their 
 expenditures by persons having still higher incomes would diverge still 
 more widely from that of the wage earners. With a view to obtaining a 
 little more light on the question, a number of persons of means were re- 
 quested by the present investigator to state their views as to the respec- 
 tive shares of income which were, in general, spent by families having total 
 expenditures solely for consumption goods amounting to 85,000, 810,000, 
 820,000, and 850,000, for 
 
 1. Food for themselves and servants. 
 
 2. Clothing. 
 
 3. Fuel and light, 
 
 4. Housing, including an estimated rent for a residence occupied by the 
 owner. 
 
 5. Money wages of servants. 
 
 6. Automobiles and yachts, including maintenance and depreciation. 
 
 7. All other purposes. 
 
 Only about a dozen of the replies received were in a form which answered 
 the requirements. However, from even this limited number, it is possible 
 to discern, as total expenditures change, certain rather definite trends in 
 the percentages of income spent for the specified purposes. From these 
 indications, curves were plotted for each of the various groups, and such 
 adjustments were made as were necessary to bring the totals to unity. 
 The final estimates appear in Table 2D.
 
 26 THE ESTIMATE BY SOURCES OE PRODUCTION 
 
 TABLE 2D 
 
 \N ESTIMATE OF THE PERCENTAGES OF TOTAL EXPENDITURES FOR 
 CONSUMPTION GOODS MADE FOR THE PURPOSES SPECIFIED 
 
 Estimate based on Study by Federal Reserve Board of Expenditures of Its Employees 
 and upon Replies to a Few Questionnaires Submitted by this Bureau 
 
 Total ex- 
 penditures 
 annually 
 for con- 
 sumption 
 goods 
 
 Total of 
 
 per cents 
 
 Food for 
 
 family, 
 
 guests and 
 
 servants 
 
 Housing, 
 
 including 
 
 rent of 
 
 homes 
 
 owned 
 
 Fuel 
 and 
 light 
 
 Auto- 
 mobiles, 
 yachts 
 and their 
 mainte- 
 nance 
 
 Wages of 
 servants 
 
 Clothing 
 
 Miscellan- 
 eous, in- 
 cluding 
 house 
 furnishings 
 
 $ 5,000 
 
 100.0 
 
 27.2 
 
 18.0 
 
 3.3 
 
 9.2 
 
 4.5 
 
 14.3 
 
 23.5 
 
 10,000 
 
 100.0 
 
 19.2 
 
 18.3 
 
 3.2 
 
 9.8 
 
 9.5 
 
 11.9 
 
 28.1 
 
 15,000 
 
 100.0 
 
 15.8 
 
 18.6 
 
 3.0 
 
 10.0 
 
 11.5 
 
 10.3 
 
 30.8 
 
 20.000 
 
 100.0 
 
 13.7 
 
 18.9 
 
 2.8 
 
 10 
 
 12.3 
 
 9.3 
 
 33.0 
 
 25,000 
 
 100.0 
 
 12.0 
 
 19.2 
 
 2.6 
 
 10.0 
 
 12.7 
 
 8.7 
 
 34.8 
 
 30,000 
 
 100.0 
 
 10.4 
 
 19.5 
 
 2.4 
 
 10.0 
 
 12.9 
 
 8.1 
 
 36.7 
 
 35,000 
 
 100.0 
 
 9.1 
 
 19.8 
 
 2 2 
 
 10.0 
 
 13.1 
 
 7.6 
 
 38.2 
 
 40,000 
 
 100.0 
 
 7.9 
 
 20.1 
 
 2.1 
 
 10.0 
 
 13.3 
 
 7.1 
 
 39.5 
 
 45,000 
 
 100.0 
 
 6.9 
 
 20.4 
 
 1.9 
 
 10.0 
 
 13.5 
 
 6.7 
 
 40.6 
 
 50,000 
 
 100.0 
 
 6.1 
 
 20.7 
 
 1.8 
 
 10.0 
 
 13.7 
 
 6.4 
 
 41.3 
 
 Were the weights the most vital factor in determining the trend of the 
 prices under consideration, it would be sheer folly to trust an estimate 
 based upon such scanty data as those upon which the tables just presented 
 rest. However, it is a well-known fact that prices of different classes of 
 commodities do not move in entirely independent paths but fluctuate in 
 somewhat similar ways at the same time. Since this is true, it follows that 
 even a large change in the weights is likely to produce no radical effect 
 upon the average index. Hence, if the above estimates are even approx- 
 imately correct, there is no reason for believing that they will not serve 
 well enough as weights for the purpose intended. 
 
 Our particular needs require an index applicable to groups of persons who 
 receive incomes from property. The industries of transportation, manu- 
 facturing, and mining are largely operated by corporations and the own- 
 ers receive their income therefrom mainly in the form of dividends or bond 
 interest. It appears from the Statistics of Income for 1917, published by the 
 Bureau of Internal Revenue, that the median net income of those re- 
 ceiving corporate dividends is around 825,000. Since that date, prices and 
 incomes have increased materially, and it appears probable that today a 
 family of the same social class would receive enough more income to enable 
 them to spend $25,000 for consumption goods in addition to what savings 
 they would make. For these particular industries, it seems best, therefore, 
 in computing an index for the purpose of reducing the money income of 
 the propertied classes to a basis of constant purchasing power, to use the
 
 PRELIMINARY STUDIES 27 
 
 weights indicated in Table 2D as applicable to the $25,000 class. When, 
 however, certain other industries are considered, it is evident that the 
 average entrepreneur does not have an income in any way approximating 
 that of the average owner of the stock of the corporations controlling the 
 highly organized fields. Nevertheless, these people may be sufficiently 
 wealthy to cause their expenditures to differ materially in their distribu- 
 tion from those of the working classes. For the propertied classes deriving 
 their livelihood from such industries, it seems probable that the weights 
 based upon average expenditures of $5,000 per annum are more appropri- 
 ate. The relative prices shown in Table 2E have therefore been multiplied 
 by the weights representing the $5,000 class, and the weighted average 
 index thus derived is shown in Table 2G. 
 
 The division of expenditures shown in Table 2D is not carried far enough 
 to furnish an appropriate weight for each of the relative prices actually 
 available. It has been necessary, therefore, to subdivide some of the orig- 
 inal groups of commodities in order to arrive at the weights used in Tables 
 2E and 2F. This process of subdivision has perforce been based upon 
 rough estimates, as no accurate information on the subject has been dis- 
 covered. 
 
 Price data are available only for certain classes of expenditures, hence 
 these classes have necessarily been used as typical of all articles or services 
 purchased. The price estimates have been collected from a variety of 
 sources and have been computed with considerable care except in the case 
 of a few relatively unimportant items. In one or two items such as, for 
 example, automobile repairing, the estimates are only moderately accurate, 
 but they are the best obtainable. 
 
 For the groups entitled "Food," "Clothing," "House Furnishings," 
 "Fuel and Light," and "Housing," the same indices have been used that 
 were computed for the same groups of goods used by the laboring classes. 
 It is, of course, true that the articles purchased by the wealthy in the way 
 of clothing, housing, and house furnishings, are of a very different quality 
 than are those used by the poorer classes. No reason is apparent, however, 
 why the higher priced articles should on the average, vary in a fashion 
 much different from that characteristic of the cheaper goods. In the 
 absence of any definite knowledge concerning this matter, and in view of 
 the paucity of data, it was felt that it would be a useless expenditure of 
 effort to attempt to make the indices specified fit more closely the prices 
 of goods bought by the wealthier classes only. 
 
 The data upon which several of the price indices for the minor groups 
 are based are too heterogene< >us and irregular to give one great confidence 
 in their accuracy. 
 
 For the reasons just stated, it is clear that the final average index must
 
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 30 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 be regarded as but a crude approximation to the truth. It seems to be 
 established, however, that the prices of commodities bought by the wealth- 
 ier classes did not rise quite as sharply during 1917, 1918, and 1919 as did 
 the prices of those articles consumed by the poorer fraction of our popu- 
 lation. It is believed that the indices shown in Table 2E will at least 
 serve somewhat better in reducing the money income of the wealthy to 
 terms of purchasing power than would the Bureau of Labor Statistics 
 index of the "cost of living" of the working classes and distinctly better 
 than would any index of wholesale prices. Of course neither of the latter 
 types of indices have been devised for this purpose, and hence cannot be 
 expected to give satisfactory results if thus misapplied. 
 
 The tables on pp. 28 to 31 summarize the results obtained. 
 
 TABLE 2F 
 
 WEIGHTS USED IN COMPUTING THE INDEX OF PRICES OF COMMOD- 
 ITIES CONSUMED BY PERSONS SPENDING $5,000 ANNUALLY FOR 
 CONSUMPTION GOODS 
 
 Automobiles 4.0 
 
 Automobile Repairs 2.1 
 
 Automobile Tires 2.0 
 
 Clothing 15.8 
 
 College Room and Board 1.1 
 
 College Tuition 0.4 
 
 Food 30.0 
 
 Fuel and Light 3.6 
 
 Gasoline 2.0 
 
 House Furnishings 6.1 
 
 Housing 19.9 
 
 Hotel Bills 0.7 
 
 Magazines 0.3 
 
 Moving Picture Shows 1.2 
 
 Newspapers 0.4 
 
 Railway Passenger Fares 2.2 
 
 Servants' Wages 5.0 
 
 Street Car Fares 0.8 
 
 Telephones 0.6 
 
 Theatre Seats 0.9 
 
 Tobacco 0.9 
 
 Total 100.0 
 
 ,
 
 PRELIMINARY STUDIES 
 
 :il 
 
 TABLE 2G 
 
 A COMPARISON OF THE ESTIMATED INDICES OF THE AVERAGE PRICES 
 OF CONSUMPTION GOODS USED BY DIFFERENT CLASSES OF THE 
 POPULATION OF THE CONTINENTAL UNITED STATES 
 
 
 Indices c of Prices of Consumption Goods Used by 
 
 Middle 
 
 of the 
 
 Year 
 
 Manual and clerical 
 workers' families a 
 
 Families spending 
 $5,000 per 
 
 annum on consumption 
 goods 
 
 Families spending 
 $25,000 per 
 annum on consumption 
 goods b 
 
 1909 
 
 .955 
 
 .978 
 .984 
 .994 
 
 1.00 
 1.01 
 
 1.03 
 1.10 
 
 1.29 
 1.58 
 1 . 773 
 2.165 
 
 .956 
 .977 
 .984 
 .999 
 
 1 . 000 
 1.013 
 
 1 . 002 
 1.088 
 
 1.252 
 1.448 
 1.669 
 
 .973 
 
 1910 
 
 1911 
 
 .988 
 .995 
 
 1912 
 
 1.000 
 
 1913 
 
 1914 
 
 1915 
 
 1916 
 
 1917 
 
 1918 
 
 1919 
 
 1920 
 
 1.000 
 
 1.010 
 
 .996 
 
 1 . 074 
 
 1.198 
 1 . 364 
 1.628 
 
 " See Table 2C; indices divided by 100. 
 
 b See Table 2E; indices divided by index shown there for L913. 
 
 c Prices of 1913 = 1 .000 
 
 § 2d. An Estimate of the Industrial Distribution of the Gainfully 
 Employed Persons in the Continental United States 
 
 I. The Total 
 
 The total number of gainfully employed in the United States as reported 
 by the Census of Occupations includes a large number of farmers' wives 
 and children who do a certain amount of agricultural work on the home 
 farm. 
 
 Nearly all members of farmers' families do some work on the home 
 farm or in the house and how many of them should be regarded as "gain- 
 fully employed" is hard to say. The proportion so reported has varied 
 from one census to the next with the wording of the instructions and from 
 one district to another at every census with the interpretation put upon 
 their instructions by different enumerators. Hence the figures for farmers' 
 wives and children at work on the home farm have no consistent meaning, 
 and this item in the classification of occupations has been excluded from 
 all the following estimates. 
 
 The ratio of the number of remaining male workers to the total popu- 
 lation has been calculated for each Census year and the curve obtained by
 
 32 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 plotting these figures has been carried forward from 1910 to 1918, an allow- 
 ance being made for the practical cessation of immigration during the war 
 years and for the addition in 1918 of a considerable number of school boys 
 to the list of gainfully employed. By using the ratios obtained from this 
 curve as multipliers, products have been obtained which probably approxi- 
 mate the numbers of males gainfully employed in each year. 
 
 For a few industries, it has been possible to obtain annual ratios of the 
 number of females to the number of male employees. These ratios have 
 been adjusted to conform to the Census ratios for all industries in the 
 Census years. In the intervening years the numbers of male workers 
 have been multiplied by the adjusted ratios in order to obtain an estimate 
 for each year of the number of females working for gain. The addition 
 of the estimated number of females to the number of males, of course, 
 gives the figures for the total number of persons gainfully employed. 
 
 This number is evidently composed of entrepreneurs * and employees. 
 The procedure adopted has been to estimate the number of the former 
 and subtract it from the total in order to obtain the number working for 
 wages or salaries. The final results appear in the three top lines of Table 
 2J. 
 
 II. Entrepreneurs 
 
 Any estimate of the number of entrepreneurs in the various industrial 
 fields must be based primarily upon the reports of the United States Cen- 
 sus since State Reports seldom throw any light upon the matter. The 
 Census classifies the gainfully employed only by occupations but these 
 figures have been used as the basis of careful though necessarily somewhat 
 inaccurate estimates of the number of entrepreneurs in each industry. 
 In most instances, the occupation of an entrepreneur indicates the indus- 
 trial field to which he is to be assigned, hence the occupational classifica- 
 tion is reasonably satisfactory for the purpose at hand. For a number of 
 important industries such as mining, manufacturing, and agriculture, 
 the reports for the separate industries record the number of entrepreneurs 
 in each. The estimates for the other industrial fields have been based upon 
 the Census of Occupations. The estimates thus made for the various 
 occupations have been added to obtain the probable numbers engaged in 
 all occupations in the Census years. The respective ratios of the number 
 of entrepreneurs to the total population have been plotted for the various 
 Census years and the curve thus obtained has been projected to 1920. 
 By applying the ratios read from this projected curve to the estimated 
 
 1 The word "entrepreneur" is used in the customary sense — namely, as a person conduct- 
 ing a business at his own risk. Lawyers, peddlers, merchants, farmers, and independent 
 manufacturers are typical entrepreneurs. Managerial employees are not included under 
 this term.
 
 PRELIMINARY S'lTDIES 
 
 33 
 
 populations for the other years, products have beeD obtained which are 
 believed to represent with some approach to the truth the total number of 
 entrepreneurs in each of the intercensal years. The estimates for the years 
 since 1910 have been strengthened by the figures in the Censuses of Man- 
 ufactures for 1914 and 1919, in the Censuses of the Electrical Industries 
 for 1912 and 1917, and in the Census of Agriculture for 1919. Since the 
 Census of Occupations for 1920 has not yet been published, it has been 
 necessary to assume that the apportionment of the remaining number of 
 entrepreneurs among the other industries has remained relatively the 
 same as in 1909. 
 
 TABLE 2H 
 
 \X ESTIMATE OF THE NUMBER OF ENTREPRENEURS NORMALLY OCCUPIED IN THE 
 
 PRINCIPAL INDUSTRIAL FIELDS 
 
 Industry 
 
 All industries . 
 Agriculture. . . . 
 
 Mining 
 
 Laundry 
 
 Construction. . 
 Han 1 trades.. . 
 
 1 i itory 
 
 Transportation 
 
 Banking 
 
 Unclassified 
 industries. . . 
 
 Thousands Attached to the Industry in the Year 
 
 1909 1910 
 
 9,550 
 
 6,330 
 
 35 
 
 16 
 
 175 
 
 228 
 
 273 
 
 29 
 
 1 
 
 2,460 
 
 9,617 
 
 6,362 
 
 34 
 
 20 
 
 171 
 
 230 
 
 272 
 
 29 
 
 4 
 
 2,492 
 
 1911 1912 1913 1914 1915 1910 L917 
 
 9 C4S 
 
 6,376 
 
 33 
 
 25 
 
 170 
 
 231 
 
 270 
 
 29 
 
 4 
 
 9,679 
 
 6,388 
 
 32 
 
 30 
 
 17(1 
 
 233 
 
 268 
 
 29 
 
 4 
 
 2.525 
 
 9,710 
 
 6,400 
 
 31 
 
 34 
 
 165 
 
 235 
 
 252 
 
 29 
 
 4 
 
 2.5(10 
 
 9,743 
 6,410 
 
 30 
 34 
 
 1 55 
 237 
 263 
 
 in 
 4 
 
 2,582 
 
 9,746 
 
 6,418 
 
 29 
 
 34 
 
 145 
 
 239 
 
 .'.id 
 
 28 
 
 4 
 
 2,589 
 
 9,737 
 6,425 
 
 ."I 
 
 35 
 
 135 
 
 2 !9 
 
 256 
 
 2 s 
 
 4 
 
 9.752 
 
 0.43-' 
 
 28 
 36 
 
 1 31 ) 
 
 I'll 
 
 253 
 
 28 
 
 4 
 
 2.597 
 
 1918 
 
 •1.757 
 
 6,438 
 
 27 
 
 36 
 
 120 
 
 244 
 
 250 
 
 2s 
 
 1 
 
 2,610 
 
 1919 1920 
 
 9,760 
 
 6,443 
 
 26 
 
 36 
 
 130 
 254 
 
 246 
 
 2 s 
 
 I 
 
 2,593 
 
 9,758 
 
 6,448 
 
 26 
 
 37 
 
 1211 
 
 263 
 
 212 
 
 28 
 
 4 
 
 2.590 
 
 III. Employees 
 
 In estimating the number of employees in a given industry, it is neces- 
 sary to distinguish sharply between the number of persons actually at 
 work in the field and the number of persons attached to the industry. At 
 all times, some of the persons normally making their living by any given 
 line of effort are not at their usual tasks. Fortunately for the accuracy 
 of our computations, the fraction of all employees not at work is usually 
 too small to affect the results materially, but, in times of business depres- 
 sion, the percentage may run very high and the effects then become of 
 great moment. 
 
 It is usually necessary to determine average annual earnings by dividing 
 the total of wages paid by the total number of employees attached to the 
 industry. It is sometimes only possible to estimate the average number 
 of employees actually working in a given field by dividing the total wage 
 bill by a reported average wage for the period. Evidently then, the ques- 
 tions of wage rates and numbers of persons employed are so closely inter- 
 locked that both must be studied together if an intelligent view of the 
 entire situation is to be obtained.
 
 34 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 For each of several important fields of industry, the Census Bureau and 
 the Interstate Commerce Commission state the average ! number of per- 
 sons employed and the total amount paid to those persons in salaries and 
 wages. At first thought, it might seem that the division of the amount 
 paid by the average number of employees would show the actual amount 
 paid each employee. A little computation will, however, make it clear that 
 the quotient actually represents approximately the average wage received 
 by an employee who worked constantly during the period designated by 
 his employer as "full time." 
 
 This rule is necessarily modified somewhat by the existence of fractional 
 days of work and by overtime. If, for example, John Jones works in the 
 forenoon and Win. Smith in the afternoon of a given day, the chances are 
 that both will appear on the payroll and hence will be counted as two men. 
 If each received $2.00 for his work, only $4.00 is paid out. But $4.00 
 divided between 2 men gives only $2.00 each which is only half the full- 
 time daily wage. 
 
 The only large industry in which the fractional day seems to be common 
 enough to be of serious import is that of coal mining. In this field fractional 
 time seems to be almost the rule; hence the average wage for miners ob- 
 tained by dividing the total wage bill by the reported average number of 
 workers gives a quotient representing the average wage for a day much 
 shorter than the nominal full-time day in the mines. 
 
 In most industries, the error due to the presence of workers employed 
 for fractional days is probably offset almost entirely by the fact that many 
 of the men work longer than the standard number of hours. If, for exam- 
 ple, Richard Roe puts in three hours overtime and makes $6.00 instead of 
 the regular $4.00 per day, he is still counted as one man and hence the quo- 
 tient is distinctly larger than the normal full-time daily wage. 
 
 The result obtained, therefore, by dividing the recorded amounts paid 
 by the recorded number of workers usually represents the average amount 
 received by a worker who appeared for work every regular work day but 
 who missed the average number of fractional days and who put in the 
 average amount of overtime. Since in most industries, as just stated, the 
 amount of overtime probably about balances the time lost through ab- 
 sences of a part of a day, the hypothetical average employee just referred 
 to probably earns in the long run approximately the same amount 2 as 
 the one who puts in the nominal full-time day. Nevertheless, owing to 
 the nature^ of the data at hand, it follows that whenever a difference exists, 
 it is the hypothetical average employee rather than the one conforming 
 
 'The Census computes the average number by adding together the totals actually re- 
 ported for the 15th day of each month and dividing by twelve the sum thus obtained. 
 
 - In busy times, he would put in overtime and earn more; in slack times the reverse would 
 be true
 
 PRELIMINARY STUDIES 35 
 
 to the standard length of working day announced by the employer, who 
 
 must, for the purposes of this investigation, be considered a full-time 
 worker. 
 
 It is evident, on the basis of the definition jusl stated, that although a 
 minority of employees will earn more than the full-time wage because they 
 miss fewer than the average number of fractional days or because they put 
 in over-time, far greater numbers will earn less than the full-time wage 
 because there will be many days when, on account of sickness, desire for 
 leisure, personal business matter, or lack of available work, their names 
 will not appear on the payroll. It follows then that the average wage, as 
 shown by the quotient obtained by dividing the amount paid by the aver- 
 age number of employees, is, as a rule, distinctly larger than the average 
 received by the employees who normally obtain a livelihood by working in 
 the given industry. 
 
 From the point of view of production costs, the directly computed 
 average, (which represents full-time earnings,) may be satisfactory, but 
 it certainly will not answer if the aim is to picture the average labor income 
 of the employees. In a year when many of the workers are idle for two or 
 three months, there will occur a striking diminution in the total demand 
 for necessities or customary luxuries even though the figures show that the 
 average full-time wage has undergone no decline. 1 A necessary prerequi- 
 site, therefore, to measuring the income from wages received by the aver- 
 age person who normally is employed in an industry is the computation 
 for each year of a fraction representing the ratio of the number of days 
 actually worked by the average employee to the number of days put in by 
 the hypothetical "full-time" worker. 
 
 The computation of such a fraction or ratio is fraught with great diffi- 
 culties, for practically no extensive data exist which show with any degree 
 of reliability the amount of unemployment in the various industries for 
 any year, to say nothing of the fact that there are available no records 
 comparing the various years of the decade which we are studying. 
 
 The LTnited States Census Bureau attempted in 1890 and again in 1900 
 to secure information in this connection, but the method used had two 
 serious defects: First, inquiry was made as to the number of months or 
 parts of months unemployed, and since it is an obvious fact that thousands 
 of persons are absent from work during many days of the year, yet seldom 
 consecutively for any considerable fraction of a month, it appears certain 
 that many of those recorded as full-time workers were really unemployed 
 for an aggregate of time not at all negligible; second, the period covered 
 
 1 If, for oxamplc, the Census wage total is divided by the Census average number employed 
 the resulting quotients will show no decline as long as wage rates remain constant, even if 
 half the workers are unemployed.
 
 36 THE ESTIMATE BY SOURCE OF PRODUCTION 
 
 by the inquiry was a whole year, and experience demonstrates that the 
 ordinary informant's memory is too poor to enable him to give much infor- 
 mation, even for himself, to say nothing of other members of the family, 
 concerning brief periods of unemployment occurring several months 
 before. Under these circumstances, it seems safe to use the Census 
 figures only as relative and not as absolute measures of unemployment. 
 
 The basic data upon which all the estimates are superimposed are the 
 records of the number of workers employed in Massachusetts factories. 1 
 At first thought, it seems absurd to place such a large superstructure upon 
 such a narrow foundation, but a careful study of such other employment 
 records as are available indicates that variations in Massachusetts employ- 
 ment are distinctly typical of those in manufacturing throughout the 
 United States and that these cyclical fluctuations in employment in man- 
 ufacturing are similar in a large measure to those characterizing conditions 
 in other industrial fields. The Massachusetts records have been compiled 
 for many years and have all the earmarks of statistical accuracy, two 
 characteristics which make them unique in this field as far as the United 
 States is concerned. 
 
 The fundamental assumption in the present study is that workers do 
 not tend to shift rapidly from one branch of industry to another. If this 
 assumption is true it follows that a curve representing the number of 
 employees depending for a living upon a great industry like manufacturing 
 will show no sharp breaks or irregularities. A further hypothesis which 
 accords with the views of Mr. Hornell Hart as expressed in his monograph 
 on "Fluctuations in Unemployment in Cities of the United States" is that 
 in times when wages in any line of enterprise are very high, that industry 
 may attract to itself a number of persons not normally working for wages; 
 for example, school boys and girls, women and girls normally performing 
 only household duties, and casual independent workers such as agents, 
 peddlers, shop keepers and mechanics. The addition of such persons tends 
 to produce bumps on the curve representing the total number of employees 
 attached to all industries, a curve which would otherwise be nearly smooth. 
 For example, during 1917 and 1918, the aggregate number of persons 
 receiving salaries and wages was doubtless noticeably increased by the 
 addition of boys who left school to join the army and of women and girls 
 who, for patriotic reasons, sought employment which they believed would 
 help win the war. 
 
 The Census Bureau in 1890 and also 1900 enumerated on the basis of 
 family statements the number of persons who were unemployed in the 
 
 1 It is impossible to calculate from these figures the absolute numbers unemployed for 
 we 'lo not know how many have found work outside the manufacturing field. The data 
 arc then useful only as measures of relative employment.
 
 PRELIMINARY STUDIES 37 
 
 preceding year and classified the unemployment into the periods one to 
 three months, four to six months, and seven to twelve months. The ratio 
 of the per cent of the workers in each industry unemployed for each of 
 these periods to the per cent of Massachusetts factory workers shown by 
 the Census to be unemployed for the same length of time was computed 
 by this Bureau. For each industry, six ratios were thus obtained, three 
 for each of the two Censuses. The six ratios were then averaged and these 
 averages were recorded. 
 
 The next step was to multiply the actual per cent of unemployment in 
 Massachusetts factories as estimated from the State Statistics of Manu- 
 factures for the various years by the average ratios just described. The 
 resulting products were the preliminary estimates of the per cents of unem- 
 ployment in each of the different industries in the various years of the 
 decade. The remainders obtained by subtracting each of these per cents 
 from 100 were assumed to represent the ratio of the number of those actu- 
 ally at work to the number of persons attached to the industry — that is, 
 normally making their living in this field of endeavor. 
 
 The records most commonly available show the average number 
 actually working in a specified industry. The procedure followed here is 
 to divide these average numbers by the tentative ratios just mentioned in 
 order to obtain a preliminary estimate of the number of employees 
 attached to each of the respective industries. Since it has been assumed 
 that the number attached to any large industry as a rule varies slowly and 
 regularly, the original figures have been plotted as historigrams and these 
 curves have been smoothed. From the smooth curves thus obtained, 
 numbers have been read which are assumed to represent approximately 
 the number of employees attached to each industry in each year. The 
 resulting numbers and the ratios derived by dividing the number actually 
 at work by the estimated number attached to the industry are shown in 
 Tables 21, 2J, and 2K. 
 
 After the numbers of employees had been computed for each of the 
 industries in which records are available these numbers were summated 
 for each of the various years. The total number of employees had already 
 been calculated by a method described on a previous page. It was, then. 
 only necessary to subtract the total number of employees in the recorded 
 industries from the total number in all industries in order to arrive at the 
 estimated number in the unclassified industries, an estimate shown in the 
 next to the last line of Table 2.J. This step completed the classification 
 of the gainfully employed in so far as necessary for this study.
 
 38 
 
 rHE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 21 
 
 AN ESTIMATE OF THE AVERAGE NUMBER OF EMPLOYEES ACTUALLY AT WORK IN 
 CERTAIN OF THE PRINCIPAL INDUSTRIAL FIELDS OF THE CONTINENTAL UNITED 
 STATES 
 
 Indn.st ry 
 
 Laundry 
 
 Construction 
 
 Hand trades a. . .. 
 Factory b 
 
 Steam railway r . . 
 
 Pullman 
 
 Express 
 
 Transportation by 
 water 
 
 Street railways. 
 
 Telephone 
 
 Telegraph 
 
 
 
 
 Thousands at Work in 
 
 he 'i eai 
 
 
 1909 
 
 1910 
 
 1911 
 
 1912 
 
 1913 
 
 1914 
 
 1915 
 
 1910 
 
 140 
 
 1,510 
 
 3S9 
 
 7,40.5 
 
 155 
 1,456 
 
 395 
 7,370 
 
 159 
 1,368 
 
 411 
 7,500 
 
 169 
 1,459 
 
 409 
 
 7. 930 
 
 1S5 
 1,538 
 
 IDS 
 8,000 
 
 175 
 
 1,110 
 
 176 
 
 8,001 
 
 173 
 1,054 
 
 471 
 7,993 
 
 179 
 
 1,147 
 
 428 
 
 9,457 
 
 1,641 
 
 It 
 57 
 
 1,742 
 15 
 62 
 
 1,750 
 15 
 64 
 
 1,81.8 
 15 
 68 
 
 1,815 
 
 L'l 
 OS 
 
 1,005 
 20 
 04 
 
 1,575 
 19 
 64 
 
 1,744 
 
 20 
 72 
 
 208 
 
 212 
 
 210 
 
 224 
 
 230 
 
 225 
 
 232 
 
 237 
 
 252 
 
 143 
 
 31 
 
 266 
 
 159 
 
 33 
 
 274 
 
 180 
 
 35 
 
 282 
 
 191 
 
 38 
 
 284 
 
 214 
 39 
 
 278 
 
 215 
 
 39 
 
 276 
 
 20S 
 
 41 
 
 292 
 
 237 
 
 46 
 
 1917 
 
 168 
 
 1,000 
 
 4S7 
 
 10,140 
 
 1,834 
 19 
 84 
 
 239 
 
 295 
 
 203 
 52 
 
 1918 
 
 1 55 
 726 
 558 
 
 ID. ISO 
 
 1,937 
 19 
 88 
 
 254 
 
 292 
 
 27* 
 56 
 
 a Includes automobile repairing, blacksmithing, tailoring, dressmaking, millinery, shoe repairing, custom 
 grist and saw mills, and other similar minor industries. 
 
 b Includes lumbering and gas manufacture. c Includes switching and terminal companies. 
 
 TABLE 2J 
 
 AN ESTIMATE OF THE TOTAL NUMBER OF GAINFULLY EMPLOYED. 9 AND OF THE 
 AVERAGE NUMBER OF EMPLOYEES ATTACHED TO EACH OF THE PRINCIPAL IN- 
 DUSTRIES OF THE CONTINENTAL UNITED STATES 
 
 Industry 
 
 Total Gainfully Em 
 
 ployed 9 
 
 Total Eentrepren'rsy 
 Total Employee- 9 
 
 Employees by Indus 
 
 tries, Agriculture f 
 
 Mining 
 
 Laundry 
 
 Construction 
 
 Hand trades 
 
 Factory*? 
 
 Commercial electric 
 light & power 
 
 Steam railway*. . . . 
 
 Pullman 
 
 Express 
 
 Transportation by- 
 water 
 
 Street railway 
 
 Telephone 
 
 Telegraph 
 
 Banking 
 
 Unclassified indus- 
 tries & professions 
 Government d 
 
 
 
 Thousanc 
 
 s of employees in 
 
 the year 
 
 
 1909 
 
 1910 
 
 1911 
 
 1912 
 
 1913 
 
 37,101 
 
 9,710 
 
 27,391 
 
 1914 
 
 37.252 
 
 9.743 
 
 27,509 
 
 1915 
 
 37,522 
 
 9,746 
 
 27,776 
 
 1910 
 
 1917 
 
 33,910 
 
 9,551) 
 
 24.300 
 
 34,858 
 
 9,617 
 25,211 
 
 35,581 
 
 9.04S 
 25,933 
 
 36,282 
 
 9,679 
 
 26,603 
 
 38,101 
 
 9.737 
 
 28,364 
 
 38,681 
 
 9752 
 
 28,929 
 
 2,370 
 1,073 
 
 2,379 
 1,106 
 
 2,3ss 
 1 , 1 32 
 
 2,390 
 1,150 
 
 2,394 
 1,159 
 
 2,393 
 1,163 
 
 2,382 
 
 1,163 
 
 2,373 
 
 1,154 
 
 2,288 
 1,141 
 
 1.50 
 1,58.5 
 
 410 
 7,730 
 
 161 
 1,600 
 
 421 
 7,810 
 
 172 
 1,619 
 
 425 
 7,970 
 
 1S1 
 
 1.017 
 
 432 
 
 8.190 
 
 194 
 1,008 
 
 446 
 8,430 
 
 193 
 1,427 
 
 487 
 8,790 
 
 190 
 
 1.292 
 
 190 
 
 9,102 
 
 185 
 1,194 
 
 481 
 9,757 
 
 174 
 
 1,026 
 
 495 
 
 10,395 
 
 55 
 
 1,705 
 
 14 
 
 59 
 
 61 
 
 1,77.5 
 
 15 
 
 63 
 
 67 
 
 l.sis 
 
 16 
 
 00 
 
 73 
 1,834 
 
 16 
 
 69 
 
 79 
 1,836 
 
 21 
 71 
 
 84 
 1,838 
 
 22 
 
 72 
 
 89 
 
 1,840 
 
 21 
 
 73 
 
 94 
 
 1,842 
 
 20 
 
 76 
 
 98 
 
 1,856 
 
 20 
 
 85 
 
 224 
 
 260 
 
 150 
 
 32 
 
 231 
 
 272 
 
 163 
 
 34 
 
 239 
 
 282 
 
 1 85 
 37 
 
 243 
 289 
 205 
 
 10 
 
 248 
 
 293 
 
 218 
 
 41 
 
 250 
 
 295 
 
 226 
 
 42 
 
 252 
 
 297 
 
 230 
 
 44 
 
 253 
 
 298 
 
 242 
 
 47 
 
 256 
 299 
 267 
 
 53 
 
 150 
 
 151 
 
 102 
 
 168 
 
 173 
 
 178 
 
 180 
 
 183 
 
 186 
 
 6,823 
 1,565 
 
 7,376 
 
 1.620 
 
 7,685 
 1.671 
 
 7.9S0 
 1,727 
 
 s.397 
 1,785 
 
 8,183 
 1,866 
 
 8,175 
 1,955 
 
 S.122 
 2,037 
 
 7,000 
 2,691 
 
 1918 
 
 39.981 
 
 9.757 
 30.224 
 
 2,121 
 1.108 
 
 161 
 
 757 
 
 572 
 
 109 5 
 
 102 
 
 1,958 
 
 19 
 
 89 
 
 275 
 
 300 
 
 285 
 
 58 
 
 193 
 
 6,194 
 5,129 
 
 a Includes automobile repairing, blacksmithing, tailoring, dressmaking, millinery, shoe repairing, custom 
 grist and saw mills, and other similar minor industries. 
 
 b Includes switching and terminal companies. 
 
 <" Includes lumbering and gas manufacture. 
 
 'I Federal, state, and local, including the army and navy, public schools and government owned in- 
 dustries. 
 
 ' Includes stock raising, market gardening, etc. ' See Table 211. 
 
 <7 Members of the family assisting their parents on the home farms are not included among the gain- 
 fully employed for purposes of this study.
 
 PRELIMINARY STUDIES 
 
 39 
 
 TABLE 2K 
 
 AN ESTIMATE OF THE RATIO OF THE AVERAGE NUMBER OF EMPLOYEES AT WORK 
 TO THE AVERAGE NUMBER OF EMPLOYEES VTTACHED TO EACH OF CERTAIN 
 LEADING INDUSTRIAL FIELDS IN THE CONTINENTAL UNITED SI Ml - 
 
 Industry 
 
 Automobile repair. . 
 
 Laundry 
 
 Construction 
 
 Other hand trades a . 
 Factory 6 
 
 Steam railway? 
 
 Pullman 
 
 Express 
 
 Transportation by water 
 
 Street railways 
 Telephones . . . 
 Telegraphs. . . . 
 
 1999 
 
 962 
 
 935 
 
 .957 
 
 .947 
 
 958 
 
 .962 
 962 
 
 .963 
 927 
 
 . 968 
 . 957 
 964 
 
 l'JIO 
 
 980 
 .963 
 
 910 
 .931 
 
 944 
 
 981 
 
 985 
 
 .917 
 
 .977 
 .974 
 .964 
 
 1911 
 
 932 
 924 
 845 
 
 971 
 911 
 
 963 
 969 
 963 
 906 
 
 970 
 97(1 
 967 
 
 L! 1.' 
 
 .911 
 
 .931 
 
 . 992 
 
 947 
 
 .968 
 
 .990 
 
 953 
 
 .985 
 
 .919 
 
 97s 
 
 949 
 
 .968 
 
 191.1 
 
 .927 
 958 
 
 .956 
 912 
 
 .919 
 
 988 
 
 979 
 
 968 
 
 .971 
 983 
 
 191 I 
 
 . 977, 
 905 
 
 .782 
 978 
 910 
 
 873 
 985 
 
 sn7 
 899 
 
 .943 
 .952 
 943 
 
 191! 
 
 978 
 
 911 
 
 816 
 
 97.7 
 .878 
 
 856 
 
 922 
 929 
 
 994 
 .933 
 
 1916 
 
 939 
 
 9 10 
 
 v7:; 
 
 9 17 
 977. 
 948 
 936 
 
 982 
 980 
 
 977) 
 
 1917 
 
 973 
 
 971 
 '.,77 
 
 918 
 
 975 
 
 .988 
 979 
 989 
 934 
 
 986 
 982 
 
 979 
 
 191 s 
 
 9M) 
 
 .970 
 
 97.9 
 977 
 
 .961 
 
 .989 
 984 
 989 
 
 977 
 977. 
 971 
 
 a Includes blacksmithimr, tailoring, dressmaking, millinery, shoe repairing, custom grist and sav; mills, 
 and other similar minor industries. 
 
 ft Includes lumbering and gas manufacture. 
 e Includes switching and terminal companies.
 
 CHAPTER 3 
 AGRICULTURE x 
 
 § 3a. Sources of Information 
 
 The statistics utilized in this field are derived mainly from the Census 
 and from the reports of the Department of Agriculture. As this is one 
 of the largest of the nation 's industries, it is fortunate that the data avail- 
 able are both abundant and reasonably reliable. Since, unfortunately, 
 the returns for the Census of 1920 are not yet complete in some respects, 
 it has been necessary in such instances to use the preliminary estimates 
 for about half the States as bases for the 1919 statistics. In certain lines, 
 the Census figures for the volume of production for 1919 are materially 
 lower than are those of the Agricultural Department for the same year. 
 Since the Census estimates are probably the more accurate, they have 
 been relied upon in so far as possible. Even with the Census reports, for 
 twenty-three States still unavailable in some fields, it nevertheless appears 
 probable that the percentage of error in the figures for this industry is 
 lower than the like percentages for many of the other fields. 
 
 § 3b. Method of Procedure 
 
 The method adopted in order to arrive at the net value product of the 
 industry has been to deduct from the gross value product all payments to 
 other industries for their goods or services used in agricultural production. 
 The remainder represents the amount left as a reward for the services of 
 persons or property devoted to the agricultural field. The general plan of 
 procedure is illustrated by the following examples. 
 
 Nearly half of the total crop yield is fed to livestock. The remainder is 
 either sold to outside purchasers or consumed by the farmers themselves. 
 Both sales and consumption evidently form part of the net income of 
 agriculture. In addition to crops, the agricultural industry turns out a 
 great quantity of livestock products in the form of draft animals, milk 
 cows, milk, butter, meat, eggs, honey, wool, and mohair. Farmers also 
 contribute each year to the national income by bringing into a state of 
 cultivation a large area of previously unimproved land. 
 
 Manifestly, however, this output cannot all be ascribed to the labors of 
 agriculturalists alone; for, in order to keep up production, farmers must 
 
 i Drs. L. C. Gray and O. C. Stine of the l*. S. Department of Agriculture have given very 
 helpful suggestions which have been utilized in this chapter. 
 
 40
 
 AGRICULTURE 41 
 
 buy from other industries fertilizers, tools, machinery, automobiles, gaso- 
 line, harness, and saddles, and also a certain amount of bank credit and 
 fire insurance. Payments for these articles and services must, therefore, 
 be estimated and subtracted. 
 
 In certain years, farmers dispose of their livestock in large numbers, 
 thus bringing in an increased money income, but at the expense of reduced 
 inventories. Evidently, then, accuracy requires that account be taken of 
 the diminution in inventories in figuring up actual production for the year. 
 
 § 3c. The Value of Animal Products 
 
 With these fundamentals in mind, we can now proceed to anatyze some 
 of the more important items entering into the accounts of this field. Ani- 
 mal products may well be considered first. By combining the reports of 
 the United States Department of Agriculture and the Food Administra- 
 tion, we are able to secure a complete estimate of the value of all meat 
 obtained from the larger animals. This record appears in Table 3A.
 
 42 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 3A 
 
 THE VALUE OF THE LARGER DOMESTIC ANIMALS GROWN AND 
 SLAl GHTEKED IN THE CONTINENTAL UNITED STATES 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 Year 
 
 Estimated 
 production 
 in millions 
 of pounds 
 
 Index of 
 average 
 
 meat 
 prices to 
 farmers 
 
 Index of 
 total value 
 meat pro- 
 duced 
 (Millions) 
 B XC 
 100 
 
 Estimated 
 
 total value to 
 
 farmers of all 
 
 animals 
 
 slaughtered 
 (Thousands) 
 
 Ratio 
 
 of 
 EtoD 
 
 Estimated 
 total value 
 to farmers 
 of all 
 
 animals 
 
 slaughtered 
 
 (Millions) 
 
 FXD 
 
 1909 
 
 1910 
 1911 
 1912 
 
 1913 
 
 1914 
 1915. . . 
 1916 
 
 1917 
 1918 
 
 1919 
 
 1920 
 
 19,7.52 a 
 17,390c 
 19,1316 
 18,249* 
 
 18,4746 
 17,7066 
 19,5406 
 21,0306 
 
 18,6926 
 22,3376 
 22,564 « 
 21,000 a 
 
 6.05^ 
 
 O.SSrf 
 .5.74'' 
 6.24* 
 
 7.03e 
 
 7.23« 
 
 6.64* 
 
 7.79^ 
 
 11.52" 
 
 13.54* 
 
 13.87'' 
 11.84-' 
 
 1,195 
 
 1,196 
 1,098 
 1,138 
 
 1,299 
 1,280 
 1,298 
 1,638 
 
 2,154 
 
 3,02.5 
 3,130 
 
 2,487 a 
 
 $1,381,303/ 
 
 1.156 
 
 $1,381 
 1,382 
 1,269 
 1,314 
 
 1,501 
 
 1,480 
 1,500 
 
 1,892 
 
 2,489 
 3,497 
 3,618 
 2,874 a 
 
 a U. S. Dept. cf Agriculture, Monthly Crop Reporter, March, 1919, p. 30, and March, 
 1920, p. 27. 
 
 6 U. S. Food Administration, Stephen Chase, Production of Meat in the United Stairs, 
 p. 80. 
 
 c 0.91 of the 1911 amount, this being the ratio of the 1910 to the 1911 quantity of 
 livestock shipped on railways as shown by the Statistics of Railways, published by the 
 Interstate Commerce Commission. 
 
 '' Extended back from 1912 and forward from 1918 on the basis of the tables in the 
 Monthly Crop Reporters for March, 1920, p. 28, and February, 1921, p. 11. 
 
 e Monthly Crop Reporter, February, 1919, p. 19. 
 
 /From data in the Census of Manufactures for 1910, Vol. VIII, p. 380, and from the 
 Abstract of the Census for 1910, pp. 356 and 478, it is possible to calculate that, in 1909, 
 retail slaughter houses killed 4,088,000 beeves, 2,880,000 calves, 1,940,000 sheep and 
 lambs, 3,970,000 hogs and 135,000 goats and miscellaneous animals. If the animals 
 in each of these classes were on the average worth the same as the animals slaughtered 
 on farms, their value was $178,636,000. Wholesale slaughterhouses paid farmers 
 $960,726,000. From this amount should be deducted the $28,298,000, which is shown by 
 the Statistics of Railways to have been paid as freight on livestock, leaving $932,428,000 
 as returns to farmers. In addition, the Census shows that farmers slaughtered animals 
 worth some $270,239,000. The total value of meat animals to farmers therefore 
 amounted to $1,381,303,000 in 1909. No allowance is made for profits to dealers and 
 shippers, for it is assumed that the larger part of this class are themselves included by 
 the Census under the heading of agriculture. 
 
 o Rough preliminary estimate. 
 
 Dairy products also form an important part of the output of American 
 farms. In 1909, according to estimates based upon the Abstract of the 
 Census of 1910, p. 344, the butter made on farms reporting dairy cows but 
 
 ,
 
 AGRICULTURE 
 
 43 
 
 no dairy products amounted probably to about $16,530,000, in addition 
 to the butter valued at $122,483,000, reported as used on farms. The 
 Census also indicates that milk amounting in value to -5158,700,000, was 
 consumed on the farm as human food, making a total of 8297,713,000, in 
 dairy products used for sustenance by farmers and their families. This 
 amount added to the $473, 769,000, value of dairy products reported as 
 sold by farmers gives $771,482,000, as the total value of dairy products 
 consumed or sold off the farm by farmers in the year 1909. The method 
 of making estimates for the intercensal years is outlined in Tables 3B 
 and 3C. 
 
 TABLE 3B 
 
 AN ESTIMATE OF THE VALUE OF DAIRY PRODUCTS CONSUMED BY 
 FARM FAMILIES IN THE CONTINENTAL UNITED STATES 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 
 
 
 Index of 
 
 
 Estimated 
 
 
 
 
 total value 
 
 Dairy products 
 
 dairy 
 
 Year 
 
 Index of 
 price of dairy 
 
 number (if 
 
 farms in 
 
 the U. S.'< 
 
 of dairy 
 
 products 
 
 consumed by 
 farm families 
 
 product - 
 consumed by 
 
 
 products" 
 
 consumed by 
 
 in 1909« 
 
 farm faun lies 
 
 
 
 farmers 
 
 (Thousands) 
 
 (Millions) 
 
 
 
 
 B X C 
 
 
 D X E 
 
 1900.. . . 
 
 1.000 
 
 1.000 
 
 1.000 
 
 §297,713 
 
 $298 
 
 1910.. . . 
 
 1 . 063 
 
 1 005 
 
 1 .038 
 
 
 318 
 
 1911.. . . 
 
 1 . (KM) 
 
 1.007 
 
 1 . 007 
 
 
 300 
 
 1912.. . . 
 
 1.07(1 
 
 1.009 
 
 1.086 
 
 
 323 
 
 1913.... 
 
 1.088 
 
 1.011 
 
 1 100 
 
 
 327 
 
 1914.. . . 
 
 1 . 065 
 
 1.013 
 
 1.079 
 
 
 321 
 
 1915.. . 
 
 1.064 
 
 1.01 1 
 
 1.079 
 
 
 321 
 
 1916.. . . 
 
 1.118 
 
 1.015 
 
 1.135 
 
 
 338 
 
 1917.. . . 
 
 1.433 
 
 1.016 
 
 1 156 
 
 
 131 
 
 1918.... 
 
 1.783 
 
 1 017 
 
 1.813 
 
 
 .Ml) 
 
 1919... . 
 
 2.024 
 
 1.018 
 
 2.060 
 
 
 613 
 
 1920. . 
 
 2.197 
 
 1.019 
 
 2 239 
 
 
 007 
 
 a A simple arithmetic average of the index for butter prices, (derived from the Year- 
 books of the Dept. of Agriculture,) and the respective indices of retail and wholesale 
 prices of milk as reported by the IJ. S. Bureau of Labor Statistics. 
 
 '- Based on the U. S. Census reports for 1910 and 1920, numbers for the intermediate 
 years being interpolated along a smooth curve. 
 
 c For mode of derivation, see the text.
 
 o 
 
 eo 
 
 W 
 
 m 
 < 
 
 CO 
 
 W 
 i—i 
 *z 
 
 <1 
 
 PQ 
 
 Q 
 
 O 
 co 
 
 co 
 H 
 o 
 p 
 
 o 
 
 Oh 
 >-< 
 
 <! 
 
 Q 
 
 Eh 
 
 O 
 
 H 
 55 
 P 
 
 O 
 
 hH 
 
 H 
 
 o 
 
 H 
 
 W 
 K 
 H 
 
 Ph 
 
 O 
 
 W 
 
 H 
 
 CO 
 
 < 
 
 
 *-» 
 
 Estimated 
 value of 
 
 dairy prod- 
 ucts sold 
 
 by farmers 
 
 (Millions) 
 
 G X I 
 
 r^ ^* © cm 
 
 T}1 lO Tff lO 
 
 O © © iO 
 
 MrHTPO 
 
 CD i— I © N- 
 
 "-i *# © © 
 
 oo cO'-^co 
 
 1— 1 ,— ^H 
 
 
 1— I 
 
 Ratio of 
 H toG 
 
 2.217/ 
 2.149s 
 2 . 083 s 
 2.017 s 
 
 Cft ca cs> c» 
 CM iO © CO 
 iO CO ■— I iO 
 
 © oo oo i-^ 
 
 t~~ i— i co > — < 
 00 CM iO © 
 
 CO © iQ -* 
 
 
 M 
 
 Value of dairy 
 
 products sold 
 
 by farmers in 
 
 census years 
 
 (Thousands) 
 
 OS 
 
 so 
 co~ 
 
 
 © 
 © 
 CO 
 
 ©~ 
 © 
 I— 1 
 
 i— r 
 
 
 O 
 
 Estimated 
 
 value of 
 
 whole milk 
 
 and cream 
 
 purchased 
 
 by factories 
 
 (Millions) 
 
 D XF 
 
 hh cc «o © 
 
 CM CM CM CM 
 
 CD «0 t» »0 
 
 © 1^ © -fi 
 CM CM CM CO 
 
 "* CM ^h CO 
 
 oo Tt< r^ i>- 
 
 -*©I>00 
 
 
 PB, 
 
 
 S o o a 
 ^h 00 CM © 
 ONOM 
 
 © O i-h CM 
 CM CM CM CI 
 
 >-i © 0-1 t> 
 
 •— © oo oo 
 co co Tf io 
 
 CI CM CM CM 
 
 oo © i— ' *— i 
 © t^ © o 
 
 CM CM CM CO 
 
 
 H 
 
 Value of whole 
 
 milk and cream 
 
 purchased by 
 
 factories in 
 census years 
 
 (Thousands) 
 
 "a 
 
 CM 
 
 © 
 
 co~ 
 
 CM 
 
 6^ 
 
 CM 
 
 co 
 
 CM 
 
 w" 
 
 CM 
 
 CM 
 
 © 
 
 ©" 
 
 
 Q 
 
 Preliminary 
 index of 
 
 total value 
 
 of dairy 
 
 products 
 
 soldc 
 
 © LQ -^ CM 
 
 00 CO CM hh 
 
 CO --^©©_ 
 
 O •— i © i— ' 
 
 r— 1 1— 1 ,— ,— 
 
 CM © © >0 
 
 co oo -r <— i 
 o ^©_co_ 
 
 1— 1 ,— ^H ,— 
 
 O© t-^iO 
 i— ' t— © »o 
 
 ©^© TT © 
 
 oo'cm"©"©" 
 
 i-i CM CM CM 
 
 
 O 
 
 Estimated 
 number of 
 cows whose 
 
 products arc 
 marketed b 
 
 (Thousands) 
 
 O 00-h CM 
 00 LO CM © 
 
 ©~©~©"o~ 
 
 OlONO 
 
 OOOCl^ 
 © t^ CM © 
 
 cfoV-r»-r 
 
 00 b- t~--+< 
 
 © oo -t cm 
 
 IQ 00 © CM 
 
 CM*"cM"eo~ccr 
 
 
 « 
 
 Estimated 
 number of 
 cows kept 
 principally 
 for milk a 
 (Thousands) 
 
 17,010 
 17,120 
 17,300 
 17,180 
 
 © LO lO LO 
 
 © © •* co 
 O^i-H_cq^eo 
 
 t^t^tCoo" 
 
 r-H ^H ^H ^H 
 
 © iO © CM 
 
 © CM © t^ 
 
 ©__C0_^O__ 
 
 ©~©~of©~ 
 
 
 < 
 
 Si 
 
 03 
 V 
 
 3 
 
 C 
 r 
 
 © 
 i — 
 
 *— 
 r 
 
 CM 
 
 © 
 
 3 
 
 
 iO © 
 
 T— ^H 
 
 © © 
 
 3 
 
 f 
 
 © 
 
 — 
 
 c 
 
 c 
 
 J 
 
 
 
 3 
 S 
 
 0) 
 
 -a 
 
 o 
 a 
 
 o 
 
 3 
 
 o 
 
 c3 
 
 X! 
 
 J3 
 
 /« 
 
 co 
 
 a^ co 
 
 rt 03 
 
 S S3 
 
 o5 Si 
 
 »« 03 
 
 03 += 
 
 af- 
 & b 
 
 3.3 
 co os 
 
 S--C 
 O^ 
 
 '53 
 
 X! 
 
 c 
 
 O rj O — • 
 
 I'C £ 3^ 
 
 3 bt Sh 
 c3 
 
 o3^ g 
 
 3 CS O 
 
 co *^ . 
 
 
 ft 
 
 4> . 
 OQ^Cog 
 
 Sh ^- « ft 
 
 , Pi 03 
 
 J5 co 
 o 
 
 3© 
 
 o^-'PQO 
 
 
 .2 c3 
 
 0) 
 
 U_ C c fe O § 
 
 -o £ r o r ° 2 57-s 
 
 CO . 
 
 O C3 co co O 
 
 ej co 0J OJ ^ 
 
 8 cJ-S-S ? 
 
 +j 
 
 03 
 +j 
 CO 
 
 IO 
 CM 
 
 Sh 
 
 o 
 o 
 
 CM 
 
 © 
 
 t^ O 
 
 3 "" ' 
 G "1 
 
 ' >; 
 
 co 
 
 O 
 
 ft 
 
 4) 
 
 Sh 
 
 <U 
 
 btO 
 
 B . ~ 
 
 o co-O 
 
 b|. 
 
 3 3 
 ^ ° § 3 § g § 
 
 O cj 
 ft? 
 
 co 
 
 5 
 
 0J oo- 
 
 •+- 1 -O "*~" 
 
 u -O o s 0< 
 
 ,
 
 AGRICULTURE 
 
 45 
 
 Another important class of animal products consists of poultry and eggs. 
 For these articles, relatively little information is available; for the inter- 
 censal years. The Census figures themselves are to a considerable extent 
 estimates — hence no high degree of accuracy can be expected in the final 
 results. The interpolations recorded in Tables 3D and 3E have been 
 based upon shipments of poultry and eggs on the railways and receipts at 
 the leading markets combined with the average prices for chickens and 
 eggs as reported by the United States Department of Agriculture. 
 
 TABLE 3D 
 
 AN ESTIMATE OF THE VALUE OF POULTRY CONSUMED OR SOLD BY 
 
 FARM FAMILIES 
 
 A 
 
 B 
 
 C 
 
 D 
 
 i; 
 
 F 
 
 G 
 
 Year 
 
 Preliminary 
 
 index of 
 quantity of 
 
 poult ry 
 produced a 
 
 Average 
 
 price paid 
 
 farmers for 
 
 chickens b 
 
 (Cents per 
 
 lb.) 
 
 Index of 
 
 total value 
 
 of poultry 
 
 produced 
 
 B X C 
 
 10 
 
 Census 
 
 estimate 
 
 of value 
 
 of products' - 
 
 (Thousands) 
 
 Ratio of 
 E to D 
 
 Estimated 
 total net 
 
 product 
 (Millions) 
 
 D X F 
 
 1909. . 
 1910. . 
 1911.. 
 1912. . 
 
 1913. 
 1914.. 
 1915. . 
 1916. . 
 
 1917.. 
 1918.. 
 1919. . 
 1920. . 
 
 3,463 
 3,538 
 3,651 
 3,812 
 
 3,923 
 3,992 
 4,046 
 4,268 
 
 4,030 
 4,141 
 4,200 d 
 4,000 d 
 
 10.67 
 11.69 
 10.72 
 10.89 
 
 11.77 
 12.21 
 
 11.88 
 13.27 
 
 16.67 
 20.85 
 23.84 
 26.12 
 
 3,695 
 4,136 
 3,914 
 4,151 
 
 4,618 
 4,874 
 4,807 
 5,664 
 
 6,718 
 
 8,633 
 
 10,012 
 
 10,448 
 
 $192,500 
 $356,200 
 
 52. 1« 
 
 49.8/ 
 48.0/ 
 46.0/ 
 
 44.2/ 
 42.5/ 
 40.8/ 
 39.4/ 
 
 38.1/ 
 36.7/ 
 35.6 • 
 34.5/ 
 
 $192 
 206 
 1SS 
 191 
 
 204 
 207 
 196 
 223 
 
 256 
 
 317 
 356 
 360 
 
 °Sum of thousands of tons of poultry, game and fish originating on railways as 
 freight; one-tenth of cars of live poultry reaching New York City; packages of dressed 
 poultry reaching New York City, divided by 2,000; and 0.3 of number of farms in 
 United States. The last item is added to account for home consumption. 
 
 b Average of prices for 12 months — see Monthly Crop Reporter for December of each 
 year. 
 
 c 95 per cent of value of poultry raised, the oilier 5 per cent being allowed for losses. 
 See Abstract of Census of 1910, p. 353, and preliminary reports of 1920 Census for 25 
 States. 
 
 d Preliminary estimate. 
 
 e Computed by division. 
 
 /Interpolated along a smooth curve.
 
 4o 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 3E 
 
 AN ESTIMATE OF THE VALUE OF POULTRY AND EGGS CONSUMED OR 
 
 SOLD BY FARM FAMILIES 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 Year 
 
 Millions of 
 
 dozens of eggs 
 
 not used for 
 
 hatching 
 
 • Average price 
 to fanners 
 per dozen eggs 
 
 Total value 
 
 of eggs to 
 
 farmers 
 
 (Millions) 
 
 B X C 
 
 Total value 
 of poultry 
 to farmers o 
 (Millions) 
 
 Total value 
 to farmers of 
 poultry and 
 
 eggs con- 
 sumed or sold 
 (Millions) 
 D +E 
 
 1909. . . 
 1910.. . 
 1911.. . 
 1912.. . 
 
 1913.. . 
 1914.. . 
 1915.. . 
 1916. . . 
 
 1917.. . 
 1918.. . 
 1919.. . 
 1920. . . 
 
 l,516a& 
 1,600 c 
 1,699 c 
 1,601c 
 
 1,561c 
 1,491c 
 1,691c 
 1,629 c 
 
 1,470 c 
 1,406 c 
 1,544 ad 
 
 1,481c 
 
 $0.1926'' 
 . 1999 c 
 . 1730/ 
 .1986/ 
 
 .1922/ 
 .2041/ 
 .2005/ 
 .2257/ 
 
 .3112/ 
 
 .3644/ 
 
 .401)5'' 
 .44150/ 
 
 $292 
 320 
 294 
 318 
 
 300 
 304 
 339 
 368 
 
 457 
 512 
 628 
 660 
 
 $192 
 206 
 
 188 
 191 
 
 204 
 207 
 196 
 223 
 
 256 
 317 
 356 
 360 
 
 $484 
 520 
 482 
 509 
 
 504 
 512 
 535 
 591 
 
 713 
 
 829 
 
 984 
 
 1 ,020 
 
 a Number of eggs produced minus two for each fowl raised. 
 b Abstract of Census for 1910, p. 353. 
 
 c Interpolated upon the basis of egg receipts at 7 leading markets. 
 d Preliminary report of 1920, Census. 
 e Rough estimate. 
 
 /Interpolated upon basis of average monthly prices as reported by the Department 
 of Agriculture. 
 
 (/See Table 3D, Column G. 
 
 The fact is worthy of note that though the value has greatly increased, 
 the quantity of eggs produced has actually diminished during the decade, 
 indicating that the per capita egg supply available for the people of the 
 United States is decreasing still more rapildy. 
 
 The productions of wool and of mohair are reported for the Census years, 
 presumably with a reasonable degree of accuracy. The interpolation for 
 the intercensal years has been made by aid of the figures from the Depart- 
 ment of Agriculture "Desk Sheet" furnished through the courtesy of the 
 Bureau of Crop Estimates. There seems no reason to believe that the 
 figures thus arrived at are seriously in error. 
 
 ,
 
 .\( HIICULTURE 
 
 47 
 
 TABLE 3F 
 
 AN ESTIMATE OF THE VALUE OF WOOL AND MOHAIR PRODUCED IN 
 THE CONTINENTAL IN I'll d> STATES 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 Year 
 
 Value reported 
 
 by (lie Census 
 
 (Thousands J 
 
 Value of wool 
 as estimated 
 by the De- 
 partment of 
 Agricull ure c 
 (Thousand- 1 
 
 Ratio of 
 B to (' 
 
 Probable value 
 of product 
 (Millions) 
 C X D 
 
 1909. . 
 
 $66,374 « 
 129,000'' 
 
 $ 65 
 72 
 52 
 55 
 
 51 
 53 
 65 
 80 
 
 133 
 173 
 162 
 125 
 
 1.021 d 
 958 e 
 
 .942* 
 .909* 
 
 .902* 
 887 « 
 
 .862* 
 850 e 
 
 827 ■ 
 809 « 
 
 796'' 
 7X4 « 
 
 S 66 
 
 1910 
 
 1911 
 
 1912 
 
 1913 
 
 1914 
 
 1915 
 
 1916 
 
 1917 
 
 1918 
 
 1919 
 
 1920 
 
 69 
 
 19 
 50 
 
 46 
 47 
 56 
 68 
 
 110 
 
 140 
 
 129 
 
 98 
 
 a Abstract of Census of 1910, p. 352. 
 
 b Estimated on basis of preliminary bulletin of Census, issued April 11, 1921; allow- 
 ance made for mohair. 
 c From Desk Sheet of Bureau of Crop Estimates. 
 d Computed by division. 
 ' Interpolated along a straight line. 
 
 The preliminary estimates of the Census indicate a clip of only 240,000,- 
 000 pounds of wool in 1919 as against 289,000,000 pounds in 1909, showing 
 a rather sharp decrease in the physical production of this commodity. 
 
 Most business plants have bookkeeping systems and make annual 
 inventories, the changes in which affed the accounts of profit and loss. 
 The Department of Agriculture estimates one very large item in the agri- 
 cultural inventory at the beginning of each year, namely, the value of live 
 stock on hand. The changes in this item are so large that it seems advis- 
 able to take them into account in making up the net totals for the agri- 
 cultural industry. Since many fluctuations in the total money value of 
 live stock arise solely from changes in prices and hence represent no real 
 variations in the numbers or weights of animals, it has been necessary to 
 use a rather devious plan of computation in order to secure figures which 
 show the magnitude of the chanties in the physical quantity on hand, 
 which have occurred between the respective inventory periods. This 
 computation is recorded in Table 3G.
 
 48 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 3G 
 
 AN ESTIMATE OF THE VARIATIONS IN THE VALUE OF THE AGGREGATE 
 OF LIVE STOCK ON THE FARMS OF THE UNITED STATES 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 H 
 
 I 
 
 J 
 
 
 
 Agricul- 
 
 
 
 
 
 
 
 
 
 Census 
 
 tural De- 
 
 
 
 
 Value of 
 
 
 
 
 
 estimate 
 
 partment 
 
 
 Probable 
 
 Tnclex of 
 
 all live- 
 
 Gain in 
 
 Index of 
 
 Gain in 
 
 
 of value 
 
 estimate 
 
 
 value of 
 
 prices of 
 
 stock at 
 
 inventory 
 
 prices of 
 
 inventory 
 
 ^ oar 
 
 of all live- 
 
 of value of 
 
 Ratio of 
 
 all live- 
 
 farm 
 
 1913 
 
 of animals 
 
 farm 
 
 at current 
 
 
 stock on 
 
 domestic 
 
 B to C 
 
 stock 
 
 animals 
 
 prices 
 
 at prices 
 
 animals A 
 
 prices 
 
 
 farms 
 
 animals'' 
 
 
 (Millions) 
 
 Janu- 
 
 Jan. 
 
 of 1913 
 
 (Average 
 
 (Millions) 
 
 
 Jan. l a 
 
 on farms 
 
 
 C X D 
 
 ary 15 7> 
 
 (Millions) 
 
 (Millions) 
 
 for vear) 
 
 H X I 
 
 
 (.Millions) 
 
 Jan. 1 
 
 
 
 
 E 
 
 
 
 
 
 
 (Millions) 
 
 
 
 
 F 
 
 
 
 
 1909 
 
 
 $4,525 
 
 1.004 
 
 $4,543 
 
 .845 
 
 $5,375 
 
 -$587 
 
 .890 
 
 — $523 
 
 1910. . . . 
 
 $4,925 b 
 
 4,911 
 
 1.003/ 
 
 4,925 
 
 1.029 
 
 4,788 
 
 + 430 
 
 1.001 
 
 + 430 
 
 1911. .. . 
 
 
 5,276 
 
 .995(7 
 
 5,250 
 
 1 . 006 
 
 5,218 
 
 + 382 
 
 .882 
 
 + 337 
 
 1912 
 
 
 5,008 
 
 .990(7 
 
 4,960 
 
 .886 
 
 5,600 
 
 - 188 
 
 .925 
 
 - 174 
 
 1913.... 
 
 
 5,502 
 
 . 984 <7 
 
 5,412 
 
 1.000 
 
 5,412 
 
 + 50 
 
 1.000 
 
 + 50 
 
 1914.... 
 
 
 5,891 
 
 .977(7 
 
 5,755 
 
 1 . 053 
 
 5,462 
 
 + 408 
 
 1.002 
 
 + 409 
 
 1915.... 
 
 
 5,969 
 
 .971(7 
 
 5,800 
 
 .988 
 
 5,870 
 
 + 109 
 
 .938 
 
 + 102 
 
 1916. .. . 
 
 
 6,021 
 
 .965(7 
 
 5,810 
 
 .972 
 
 5,979 
 
 — 544 
 
 1.047 
 
 - 569 
 
 1917. .. . 
 
 
 6,736 
 
 .958(7 
 
 6,454 
 
 1 . 187 
 
 5,435 
 
 - 525 
 
 1.412 
 
 - 742 
 
 1918.... 
 
 
 8,284 
 
 .953(7 
 
 7,896 
 
 1.608 
 
 4,910 
 
 4- 60 
 
 1 . 593 
 
 + 96 
 
 1919. . . . 
 
 
 8,828 
 
 .946(7 
 
 8,352 
 
 1.681 
 
 4,970 
 
 + 410 
 
 1.577 
 
 + 646 
 
 1920 
 
 $7,996 e 
 
 8,507 
 
 .940/ 
 
 7,996 
 
 1.486 
 
 5,380 
 
 85 
 
 1 . 398 
 
 - 119 
 
 a Census of 1910 was taken April 15. 
 b Abstract of U. S. Census of 1910, p. 312. 
 c Estimated from U. S. Census reports for 25 States. 
 d Includes horses, mules, cattle, sheep, and swine. 
 « Moittlrfy Crop Reporter and Yearbooks of Dept. of Agriculture. 
 / Computed by division. 
 a Interpolated along a straight line. 
 
 h Average of indices for meat animals and for horses, weighting the former 2 and 
 the latter 1. Data from Monthly Crop Reporters. 
 
 In Table 3H, the values of the various animal products are summarized. 
 The figures used in the derivation of the estimates for honey and wax 
 produced and for horses sold off farms are not shown, as these are relatively 
 minor items and no first class data are available as a basis for interpolation. 
 
 The value of horses sold off the farms has been computed on the assump- 
 tion that one-fourteenth of the city supply is replaced annually. The 
 number of horses in cities is estimated from the Census by aid of a smooth 
 curve. The values per head are those stated in the Census with interpola- 
 tions for intercensal years based upon the Department of Agriculture 
 reports of farm prices for horses and mules. The numbers multiplied by 
 these average values are used as estimates of the total values of horses and 
 mules sold to supply city needs. To these totals have been added quan- 
 tities representing 90 per cent of the excess in the value of exports over 
 
 ,
 
 AGRICULTURE 
 
 49 
 
 imports, it being assumed that the fanners would receive 10 per cent less 
 than the export value. 
 
 The estimated amounts representing the production of honey and wax 
 have been roughly interpolated between the values recorded by the Cen- 
 sus in 1909 and 1919, the "Desk Sheet" furnished by the Bureau of Crop 
 Estimates being used as an approximate guide. Since the value of wax 
 produced in 1919 has not yet been reported by the Census, a slight adjust- 
 ment has been made in the reported honey value in order to take both into 
 account. 
 
 TABLE 3H 
 
 AN ESTIMATE OF THE AGGREGATE FARM VALUE OF ANIMAL PRODUCTS 
 PRODUCED ON THE FARMS AND RANGES OF THE CONTINENTAL 
 UNITED STATES 
 
 (Values in Millions of Dollars) 
 
 
 All ani- 
 
 Larger 
 animals 
 slaugh- 
 tered a 
 
 Dairy 
 
 Poultry 
 
 Wool 
 
 Honey 
 
 Horses 
 
 ( lains in 
 
 Year 
 
 mal prod- 
 ucts 
 
 prod- 
 ucts b 
 
 and 
 eggsc 
 
 and 
 mohair < l 
 
 and 
 wax e 
 
 sold for 
 city use e 
 
 live- 
 stock in- 
 ventory/ 
 
 1909.. . . 
 
 $2,218 
 
 $1,381 
 
 $ 771 
 
 $ 484 
 
 $ 66 
 
 $ 6 
 
 $ 31 
 
 -S523 
 
 1910.. . . 
 
 3,277 
 
 1,382 
 
 829 
 
 526 
 
 69 
 
 6 
 
 35 
 
 + 430 
 
 1911.. . . 
 
 2,968 
 
 1,269 
 
 790 
 
 lv_> 
 
 49 
 
 6 
 
 35 
 
 + 337 
 
 1912.. . . 
 
 2,585 
 
 1,314 
 
 845 
 
 509 
 
 50 
 
 6 
 
 35 
 
 - 171 
 
 1913.. . . 
 
 2,989 
 
 1,501 
 
 847 
 
 504 
 
 46 
 
 6 
 
 34 
 
 + 50 
 
 1914.. . . 
 
 3,359 
 
 1,480 
 
 840 
 
 512 
 
 47 
 
 6 
 
 c»5 
 
 -f- 109 
 
 1915.. . . 
 
 3,166 
 
 1,500 
 
 861 
 
 535 
 
 56 
 
 6 
 
 105 
 
 + L02 
 
 1916.. . . 
 
 3,041 
 
 1,892 
 
 943 
 
 591 
 
 68 
 
 7 
 
 108 
 
 — 569 
 
 1917.. . . 
 
 3,902 
 
 2,489 
 
 1,250 
 
 713 
 
 110 
 
 9 
 
 73 
 
 - 712 
 
 19 IS.. . . 
 
 6,189 
 
 3,497 
 
 1,581 
 
 829 
 
 140 
 
 12 
 
 34 
 
 4- 96 
 
 1919.. . . 
 
 7,228 
 
 3,6 IS 
 
 1,813 
 
 9S4 
 
 129 
 
 13 
 
 25 
 
 + 646 
 
 1920. . . . 
 
 5,882 a 
 
 2,874 
 
 1,974 
 
 1,020 
 
 98 
 
 15 
 
 20 
 
 119 
 
 a See Table 3A, Column G. 
 
 '' Sum of items in Table 3B, Column F and Table 3C, Column J. 
 
 c See Table 3E, Column F. 
 
 d See Table 3F, Column E. 
 
 e For description of derivation, see the text. 
 
 /See Table 3G, Column J. 
 
 Rough preliminary figures. 
 
 The value of all animal products showed an upward trend throughout 
 the period until 1919. In 1920, however, there was a sharp diminution 
 in the total value, this being mainly occasioned by a fall in the value of 
 meat animals. Because of variations in the value of money, the apparent 
 changers in total values must, of course, not be construed to indicate cor- 
 responding changes in the physical output of livestock products.
 
 50 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 § 3d. The Value of Crops Not Fed to Live Stock 
 
 In addition to livestock products, farmers and their families consume 
 large quantities of fruits and vegetables, bum fuel from the farm, and sell 
 great amounts of gram and other vegetable products for use by other per- 
 sons. To calculate the net value of crops thus consumed or sold is not a 
 simple matter. It is first necessary to subtract the amount used for seed. 
 This amount has been calculated by multiplying the normal seed require- 
 ments per acre of each crop by the acreage in each year and deducting the 
 resulting amount from the crop of the year previous, since it was from 
 this supply that the farmer reserved his seed. 
 
 Estimates of grain fed to livestock have been based upon the 1910 
 Census and carried forward by aid of the reports in the Monthly Crop 
 Reporter 1 showing the quantities in each year not shipped outside the 
 county where grown. 
 
 The Census enumerators failed to secure complete reports for farm gar- 
 dens, hence an estimated item has been added to fill in the omission. In 
 1910, there were reported 707,763 gardens for which no value of products 
 was assigned. W. C. Funk in Farmers' Bulletin 635, published by the 
 Department of Agriculture, shows that the average farm garden produced 
 for home consumption fruit and vegetables worth $52. If the non-reported 
 gardens produced half as much, or $26 each, the total would be $18,624,000 
 for 1909. This amount has been varied in other years in proportion to 
 the combined value of the reported crops of beans and white and sweet 
 potatoes. 
 
 1 Published by the Bureau of Crop Estimates. 
 
 ,
 
 AGRICn/ITl;i: 
 
 51 
 
 TABLE 31 
 
 AN ESTIMATE OF THE VALUE OF CROPS SOLD OFT THE FARMS OR 
 CONST' MED DIRECTLY BY FARM FAMILIES 
 
 A 
 
 B 
 
 C 
 
 I) 
 
 E 
 
 F 
 
 G 
 
 H 
 
 1 
 
 J 
 
 
 
 
 
 
 
 
 
 Value 
 
 Net 
 
 
 
 Agricul- 
 
 
 
 
 
 Value 
 
 of 
 crops 
 fed to 
 
 of 
 
 value 
 
 
 Census . 
 estimate 
 of value 
 
 Of all 
 recorded 
 
 tural 
 
 
 Prob- 
 
 Value 
 
 
 seeds 
 
 Of all 
 
 
 Depart- 
 ment 
 estimate 
 
 Ratio 
 
 able 
 
 value 
 of all 
 
 of 
 non- 
 re- 
 
 Total 
 value 
 of all 
 
 t-ut - 
 i ings 
 
 and 
 
 crops 
 
 con- 
 sumed 
 
 Year 
 
 of value 
 of all 
 
 of 
 B to C 
 
 record- 
 ed crops 
 
 corded 
 gar- 
 
 crops 
 (Mil- 
 
 live- 
 stock 
 
 plants 
 for 
 
 on or 
 sold off 
 
 
 crops 
 (Mil- 
 
 recorded 
 crops c 
 
 
 -.Mil- 
 lions) 
 
 dens/ 
 (Mil- 
 
 lions 
 
 E + F 
 
 on 
 
 farms/ 
 (Mil- 
 lions) 
 
 next 
 year's 
 
 farms 
 (Mil- 
 
 
 
 ( Mil- 
 
 
 C X D 
 
 lions) 
 
 
 crop.' 
 
 lions) 
 
 
 
 lions) 
 
 
 
 
 
 (Mil- 
 
 G— 
 
 
 
 
 
 
 
 
 
 lions) 
 
 (H + I) 
 
 1909 . . 
 
 $ 5,487" 
 
 $ 5,487 
 
 1 . 000 d 
 
 8 5,487 
 
 819 
 
 8 5,506 
 
 $2,601 
 
 SI 43 
 
 82,762 
 
 1910. . 
 
 
 5,486 
 
 .995" 
 
 5,461 
 
 17 
 
 5.17s 
 
 2,645 
 
 138 
 
 2,696 
 
 1911. . 
 
 
 5,562 
 
 .991 e 
 
 5,511 
 
 20 
 
 5,531 
 
 2,793 
 
 153 
 
 2.5X5 
 
 1912. . 
 
 
 5,842 
 
 .986* 
 
 5,762 
 
 18 
 
 5,780 
 
 2,826 
 
 139 
 
 L'.Slli 
 
 1913. . 
 
 
 6,133 
 
 .982« 
 
 6,020 
 
 20 
 
 6,040 
 
 2,924 
 
 1 15 
 
 2,971 
 
 1914. . 
 
 
 6,112 
 
 .977* 
 
 5.971 
 
 is 
 
 5,989 
 
 2,985 
 
 LS4 
 
 2,820 
 
 1915. . 
 
 
 0,907 
 
 .972e 
 
 6,717 
 
 20 
 
 6,737 
 
 3, 1 82 
 
 21 17 
 
 3.347 
 
 1916.. 
 
 
 9,054 
 
 .968* 
 
 8,763 
 
 35 
 
 s.798 
 
 3,926 
 
 331 
 
 1.5 11 
 
 1917. . 
 
 
 13,479 
 
 . 963 e 
 
 12,983 
 
 50 
 
 13,033 
 
 6,209 
 
 395 
 
 6,429 
 
 1918. . 
 
 
 14,094 
 
 .959* 
 
 13,511 
 
 47 
 
 13,558 
 
 5,989 
 
 450 
 
 7,119 
 
 1919. . 
 
 $15,295 6 
 
 16,035 
 
 .954^ 
 
 15.295 
 
 52 
 
 15,:; 17 
 
 6,550 
 
 434 
 
 S,3f)2 
 
 1920 
 
 
 10,465 
 
 .949" 
 
 9,935 
 
 45 
 
 9,980 
 
 4,ii(ll 
 
 2 g2 ■ 
 
 5,094 
 
 ° Statistical Abstract for 1916, pp. 155 156. 
 
 b Calculated from data in Press Summary of April 1 1, 1921, furnished by the Census. 
 r Monthly Crop Reporter for December and Yearbooks of the Department of Agricul- 
 ture. 
 
 '' Computed by division. 
 e Interpolated along a straight line. 
 / For mode of estimation, see text. 
 9 Rough preliminary estimate. 
 
 Table 31 indicates that between 1914 and 1919 there was an enormous 
 increase in the book income of agriculturalists from the sale or consump- 
 tion of crops and that this book income diminished very sharply from 1919 
 to 1920. These fluctuations were doubtless due far more to price changes 
 
 than to variations in physical out put. 
 
 § 3e. Payments by Agriculture for the Products of Other Industries 
 
 In computing the net value product of agriculture, it is, as before ex- 
 plained, necessary to deduct from the gross output amounts paid to other 
 
 recorded industries for their services. The chief deductions made are those
 
 52 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 for the cost of agricultural implements, fertilizers, automobiles used in 
 farm business, harness and saddles, fire insurance, and interest paid 
 to banks. The estimates of these quantities have been recorded in 
 Table 3J. 
 
 The value of agricultural implements purchased by farmers has been 
 estimated for the Census years by subtracting from the values of those 
 reported as manufactured the excess values of exports over imports, and 
 multiplying the remainder by L20 1 in order to allow for the profits made 
 by retailers. The interpolation for the intercensal years has been based 
 upon an index representing the product of the tons of agricultural imple- 
 ments shipped on the railways (as reported by the Interstate Commerce 
 Commission), and the prices of agricultural implements (as compiled from 
 the records of the United States Department of Agriculture and the Inter- 
 national Harvester Company). 
 
 That not all of the implements purchased are used up in the year when 
 bought is evidenced by the Census report indicating an increase in the 
 physical supply between 1910 and 1920 amounting to about 41 per cent of 
 all purchases during the decade. The remaining 59 per cent has therefore 
 been assumed to represent the current cost to the industry. 
 
 The Census records the amount paid by farmers for fertilizer in the 
 Census years. For the intervening years, the amounts have been esti- 
 mated on the basis of the figures in the American Fertilizer Handbook, a 
 publication which reports for each year the approximate number of tons 
 of fertilizer used in the United States and also the prices of leading vari- 
 eties. The average price per ton has been estimated therefrom and multi- 
 plied by the tons used in order to obtain an estimate of the total value. 
 This estimate has been corrected by comparing with the amount reported 
 in the Census years and the interpolation has been carried out according 
 to the usual ratio method, using a smooth curve for estimating the ratios 
 in the intercensal years. 
 
 It is, of course, impossible to say just what share of the expense of auto- 
 mobiles used on farms should be allowed as a business cost and how much 
 should be charged against pleasure; nevertheless, some rough apportion- 
 ment must be made. According to the National Automobile Chamber of 
 Commerce, 2 farmers in 1919 operated 32.6 per cent of all cars. These 
 cars are perhaps somewhat smaller than city cars on the average but 
 probably make up at least one-fourth of the automobile value of the coun- 
 try. By combining this figure with others arrived at in the study of the 
 industry of repairing automobiles, one is led to the conclusion that if 40 
 per cent of total costs be charged to business uses, the figures presented 
 
 1 Ratio based upon a study of the Federal Trade Commission report on the Agricultural 
 Implement Industry. 
 
 - Fads and Figures of tl>< Automobile Industry, 1920, p. 13.
 
 AGRICULTURE 53 
 
 in Table 3J, may represent a rough approximation to the business expense 
 to fanners of the automobiles which they operate. 
 
 The amount expended for harness and saddles has been estimated by a 
 rather complex process which presumably gives results not very far from 
 the truth. The gist of the plan is as follows: For the Census years 1909, 
 1914, and 1919, the quantity of harness and saddlery manufactured is 
 recorded. From this amount in each case the value of exports has been 
 subtracted, there being no imports recorded. It has been assumed that, 
 of the remainder, farmers use the same proportion as farm horses and mules 
 constitute of all horses and mules. The interpolations for the intercensal 
 years have been made on the basis of an index representing the product 
 of the number of horses and mules on farms and the price of harness to 
 farmers, both figures being taken from the Monthly Crop Reporter pub- 
 lished by the Agricultural Department. The customary ratio method 
 has been used, the ratio for the intercensal years being interpolated along 
 a smooth curve. 
 
 Farmers pay a considerable amount annually for fire insurance and for 
 interest on loans from banks, but there is no information available throw- 
 ing any definite light on the size of either of these quantities. The assump- 
 tion has been made that the excess of interest paid to banks over interesl 
 received therefrom amounts to 1 per cent of the total crops and animal 
 products sold or consumed. A study of the reports of the Comptroller 
 of the Currency for the smaller banks indicates that it is improbable that 
 the amount is much larger than this, but it may be somewhat smaller. 
 
 The cost of fire and tornado insurance has been assumed to be one- 
 tenth of one per cent of the value of all farm buildings. The value of the 
 buildings is given by the Census of 1910 and has been estimated for 1920 
 on the basis of the preliminary States reports already published. The 
 interpolation has been made along a smooth curve. 
 
 An important deduction which is omitted from the li<t here given is the 
 amount of taxes paid by fanners for services rendered by the various 
 branches of government to their business. This item has been left out 
 because of the impracticability of estimating what pari of the service of 
 government benefits the farmer as an entrepreneur and what part con- 
 tributes to his needs as a consumer. The failure to allow for this expense 
 makes the net value product of agriculture as here stated somewhat larger 
 than the correct figure and also makes the percentage of the value product 
 recorded as being paid to employees slightly smaller than it really is. The 
 error is, however, presumably not large enough to be of very serious 
 moment.
 
 54 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION. 
 
 TABLE 3J 
 
 
 DEDUCTIONS FROM THE GROSS VALUE PRODUCT OF AGRICULTURE ON 
 ACCOUNT OF BUSINESS PAYMENTS MADE TO OTHER INDUSTRIES 
 
 (Millions of dollars) 
 
 Calendar 
 
 year 
 
 Total 
 
 deduc- 
 tions 
 
 Value 
 of im- 
 
 pie- 
 ments 
 pur- 
 chased a 
 
 Value of 
 
 fertil- 
 izers pur- 
 chased a 
 
 Expense 
 for 
 
 business 
 use of 
 
 automo- 
 biles a. 
 
 Value of 
 harness 
 and sad- 
 dles pur- 
 chased a 
 
 Expense 
 of in- 
 surance 
 against 
 fire and 
 wind 
 
 Interest 
 paid to 
 banks 
 
 for 
 loans a 
 
 1909 
 
 1910 
 
 1911 
 
 1912 
 
 1913 
 
 1914 
 
 1915 
 
 1916 
 
 1917 
 
 1918 
 
 1919 
 
 1920 
 
 $ 319 
 384 
 404 
 405 
 
 449 
 467 
 446 
 551 
 
 785 
 1,031 
 1,276 
 1,300 
 
 $ 85 
 116 
 103 
 107 
 
 122 
 93 
 90 
 
 111 
 
 149 
 183 
 
 187 
 239 
 
 $115 b 
 135 
 160 
 147 
 
 161 
 188 & 
 160 
 162 
 
 222 
 
 294 
 329 6 
 360 ^ 
 
 $ 6 
 
 9 
 
 20 
 
 32 
 
 42 
 
 58 
 
 83 
 
 116 
 
 186 
 274 
 417 
 400 c 
 
 $ 57 ^ 
 57 
 59 
 58 
 
 58 
 57 & 
 64 
 
 77 
 
 116 
 139 
 
 177& 
 177 
 
 1 6 
 
 6 
 
 7 
 7 
 
 7 
 7 
 7 
 8 
 
 8 
 
 8 
 
 9 
 
 11 
 
 $ 50 
 60 
 56 
 54 
 
 60 
 62 
 65 
 76 
 
 103 
 133 
 156 
 110 
 
 a For mode of estimating these items, see the text. 
 b Derived from the Census. 
 c A guess. 
 
 The indications from Table 3 J are that the combined deductions form 
 a sum which is relatively small as compared to the net value product of 
 this industry. 
 
 § 3f. The Net Value Product of Agriculture 
 
 We are now in a position to estimate the total net value product of 
 the industry. In making up this aggregate, it seems necessary to add to 
 the combined value of crops and animal products a small allowance for 
 the improvement in farm lands brought about by the labor of the farmer. 
 This item should be clearly distinguished from the increase in farm values 
 caused by currency inflation or relative increase in urban population. The 
 mode of estimating the additional land value created by the efforts of 
 farmers has been to subtract the farm acreage in 1910 from that in 1920, 
 distribute this amount among the various intervening years, and multi- 
 ply the estimated acreage increase in each year by the current value of 
 land per acre. This average land value has been calculated from the Cen- 
 sus reports and the index of land values found in the Department of Agri- 
 culture 's Monthly Crop Reporter. 
 
 Another source of income to farmers which is of considerable importance
 
 AGRK QLTURE 
 
 oo 
 
 is the rental value of farm homes. Some time was devoted to estimating 
 this amount but the ultimate conclusions reached were thai the nel rent 
 was just about equalled by the expense for materials needed for the con- 
 struction of all farm buildings and fences. Under these circumstances, it 
 was decided to omit both items from the computation. 
 
 Table 3K summarizes the chief factors entering into the net value prod- 
 uct of agriculture. 
 
 TABLE 3K 
 
 AN ESTIMATE OF THE TOTAL NET VAN E PR( >1)UCT OF AGRICULTURE 
 IN THE CONTINENTAL UNITED STATES 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 Calendar 
 year 
 
 Value of 
 
 animal 
 
 products " 
 
 (Millions) 
 
 Nit value 
 of crops 
 
 consumed 
 or sold off 
 
 farm c 
 (Millions) 
 
 Increase in 
 land value 
 due to im- 
 provements 
 
 by farmers d 
 (Millions 
 
 Business ex- 
 penditure for 
 
 products of 
 other in- 
 dustries ' 
 (Millions) 
 
 Net Value 
 
 product of 
 
 agriculture 
 
 Mil liens) 
 
 B+C+D-E 
 
 1909 . . 
 
 $2,218 
 3,277 
 2,968 
 2,585 
 
 2,989 
 
 ;;,:;.59 
 3,166 
 3,041 
 
 :;.902 
 
 6. lv.) 
 7,228 
 5,882 b 
 
 $2,762 
 2,696 
 
 2,5-.") 
 2,816 
 
 2,971 
 2,820 
 3,347 
 4,541 
 
 6,429 
 7,119 
 8,362 
 5,094 
 
 $ 25 
 
 139 
 
 219 
 
 290 
 
 376 
 328 
 310 
 
 218 
 
 174 
 105 
 520 
 
 177 
 
 S 319 
 384 
 
 lot 
 405 
 
 149 
 167 
 146 
 
 551 
 
 785 
 1,031 
 1,276 
 1,300 
 
 $ 4,686 
 5,728 
 5,368 
 5,286 
 
 5,887 
 6,040 
 6,376 
 
 7,249 
 
 9 720 
 
 1910 
 
 1911 
 
 1912 
 
 1914 
 
 1915 
 
 1916 
 
 1917 
 
 1918 
 
 12,682 
 
 1919 
 
 1 L835 
 
 1920 
 
 « See Table 3H. 
 
 b Rough preliminary figures only. 
 
 e See Table 31, Column J. 
 
 d For mode of derivation, see text. 
 
 « See Table 3J. 
 
 The net value product of agriculture evidently increased very rapidly 
 between 1915 and 1919, but suffered a sharp decline in 1920. 
 
 § 3g. The Share of the Employees 
 
 It is desirable next to learn what share of this net value product is paid 
 out in the form of wages or salaries (including under these heads, board 
 and lodging furnished to employees), and also the average. wage paid per 
 employee. The mode of estimation used is shown in Tables 3L, 3M, and 
 
 3 N.
 
 56 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 3L 
 
 
 AN ESTIMATE OF THE AGGREGATE OF WAGES AND SALARIES PAID BY 
 
 FARMERS TO EMPLOYEES 
 
 A 
 
 B 
 
 (' 
 
 D 
 
 E 
 
 F 
 
 Calendar 
 year 
 
 Wages of farm 
 
 hands 
 
 (Census years) 
 
 (Thousands) 
 
 Index of total 
 payments to 
 farm labor c 
 (Thousands) 
 
 Ratio of 
 B toC 
 
 Estimated 
 total wage 
 
 of farm 
 
 hands 
 
 (Millions) 
 
 C X D 
 
 Estimated 
 total wages 
 paid to em- 
 ployees on 
 
 farms/ 
 (Millions) 
 
 He 
 
 10 
 
 1909. . 
 
 1910 
 
 1911. . . 
 1912. . . 
 
 1913 
 
 1914 
 
 1915 
 
 1916 
 
 1917 
 
 1918 
 
 1919 
 
 1920 
 
 $651,611" 
 $1,363,454 & 
 
 7,918 
 8,000 
 8,546 
 8,710 
 
 9,100 
 
 8,980 
 
 9,330 
 
 10,170 
 
 12,890 
 15,390 
 18,720 
 22,000 
 
 82.29^ 
 
 81.37 e 
 
 80.42 e 
 
 79.47 ' 
 
 78 . 52 e 
 77 . 67 e 
 76 . 62 e 
 75 . 77 e 
 
 74. 72* 
 73. 87* 
 72 . 83 d 
 71.97* 
 
 $ 652 
 651 
 687 
 692 
 
 715 
 697 
 715 
 771 
 
 963 
 1,137 
 1,363 
 1,583 
 
 $ 717 
 716 
 756 
 761 
 
 786 
 767 
 786 
 848 
 
 1,059 
 1,251 
 1,500 
 1,742 
 
 a Census of Agriculture, 1910, Vol. V., p. 563. Includes board and lodging. 
 
 b Preliminary bulletin of the Census, June 29, 1921. 
 
 c The product of the acreage of leading crops, and the average monthly wage of 
 farm hands without board, as reported by the Bureau of Crop Estimates of the De- 
 partment of Agriculture. 
 
 d Computed by division. 
 
 e Interpolated along a straight line. 
 
 /Assumed that domestics receive one-tenth the total wages paid farm hands. The 
 allowance here is for only that share of domestic labor required to facilitate the pro- 
 ductive work of the farm. 
 
 ,
 
 AGRICULTURE 
 
 01 
 
 TABLE 3M 
 
 AN ESTIMATE OF THE NUMBER OF EMPLOYEES ON THE FARMS OF 
 THE CONTINENTAL UNITED STATES 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 Year 
 
 Total wages 
 
 paid to farm 
 
 hands ° 
 
 (Millions) 
 
 Estimated 
 
 average full- 
 time wage 
 for farm 
 hands d 
 
 Estimated 
 number of 
 full-time 
 hands re- 
 quired 
 (Thousands) 
 B 
 
 C 
 
 Estimated 
 
 fraction of 
 workers ac- 
 tually 
 
 employed c 
 
 Number of 
 farm hands 
 
 attached to 
 
 t In' industry 
 
 (Thousands i 
 
 D 
 
 E 
 
 Number of 
 
 employees 
 
 at tached to 
 
 the 
 
 industry e 
 Thousands) 
 
 1909 
 
 1910 
 
 1911. . . . 
 1912 
 
 1913 
 
 1914 
 
 1915 
 
 1916 
 
 1917 
 
 1918 
 
 1919 
 
 1920. . . . 
 
 S 652 
 651 
 687 
 692 
 
 715 
 697 
 715 
 771 
 
 963 
 1,137 
 1,363 
 
 1,583 
 
 $363 
 352 
 367 
 
 378 
 
 389 
 38(5 
 389 
 422 
 
 526 & 
 652 
 767 
 846 
 
 1,794 
 1,849 
 1 ,S73 
 1,831 
 
 1 ,837 
 1,809 
 1,838 
 1,825 
 
 1,832 
 1,744 
 1,778 
 1,872 
 
 .881 
 .907 
 .915 
 .894 
 
 .89.1 
 .882 
 .900 
 .897 
 
 .934 
 .959 
 .934 
 .923 
 
 2,037 
 2,039 
 2,047 
 2,04 S 
 
 2,052 
 
 2,051 
 2,042 
 2,034 
 
 1,961 
 1,818 
 1,903 
 2,028 
 
 2,376 
 2,379 
 2,388 
 2,390 
 
 2,394 
 2,393 
 2,382 
 
 2.373 
 
 2,288 
 2,121 
 2,220 
 
 '-'.366 
 
 a See Table 3L, Column E. 
 
 b A weighted average of summer and winter wages and of wages of different classes 
 of laborers. Data from the 1918 Annual Report of the Iowa Bureau of Labor, p. 139, 
 and from the Agricultural Department Crop Report, March, 191s, p. 24. 
 
 c A rough estimate. 
 
 d Includes value of any food and lodging furnished. 
 
 e Includes the estimated number of domestic servants required to facilitate the 
 productive work of the farm.
 
 58 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 3N 
 
 AN ESTIMATE OF THE AYERAOE ANNUAL EARNINGS OF FARM EM- 
 PLOYEES" IN THE CONTINENTAL UNITED STATES AND THEIR 
 SHARE IN THE NET VALUE PRODUCT OF AGRICULTURE 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 H 
 
 Year 
 
 Total 
 
 money 
 
 wages h 
 
 (Millions) 
 
 Number 
 of em- 
 ployees 
 attached 
 
 to the in- 
 dustry <- 
 (Thou- 
 sands) 
 
 Average 
 annual 
 earnings 
 per em- 
 ployee 
 B 
 
 C 
 
 Index cf 
 
 prices of 
 goods con- 
 sumed by 
 manual 
 
 and 
 
 clerical 
 
 workers d 
 
 Purchasing 
 power of 
 average an- 
 nual earn- 
 ings at 
 prices of 
 1913 
 D 
 
 E 
 
 Xci value 
 product 
 
 of agri- 
 culture* 
 (Millions) 
 
 Per cent of 
 value prod- 
 uct paid 
 out in " 
 wages and 
 salaries 
 B 
 
 G 
 
 1909 
 1910.. . . 
 1911.. . . 
 191? 
 
 1913.. . . 
 1914.. . . 
 1915 
 1916.. . . 
 
 1917.. . . 
 1918.. . . 
 1919 
 1920.. . . 
 
 S 717 
 716 
 756 
 761 
 
 786 
 767 
 786 
 848 
 
 1,059 
 1,251 
 1,500 
 1,742 
 
 2,376 
 2,379 
 
 2,388 
 2,390 
 
 2,394 
 2,393 
 
 2.382 
 2,373 
 
 2,288 
 2,121 
 2,220 
 2,366 
 
 $302 
 301 
 317 
 319 
 
 328 
 321 
 
 330 
 357 
 
 46:; 
 590 
 675 
 736 
 
 955 
 
 . 978 
 . 984 
 .994 
 
 1.000 
 
 1.01 
 1.03 
 1.10 
 
 1.29 
 1 . 58 
 1.773 
 2.165 
 
 $316 
 308 
 322 
 321 
 
 328 
 317 
 320 
 325 
 
 359 
 373 
 381 
 340 
 
 $ 4,686 
 5,728 
 5,368 
 5,286 
 
 5,887 
 6,040 
 6,376 
 7,249 
 
 9,720 
 12,682 
 14,835 
 
 9,853 
 
 15.3 
 12.5 
 14.1 
 14.4 
 
 13.4 
 12.7 
 12.3 
 11.7 
 
 10.9 
 
 9.9 
 
 10.1 
 
 17.7 
 
 and domestic servants. 
 b See Table 3L, Column F. 
 c See Table 3M, Column G. 
 
 d Bureau of Labor index carried back by means cf a special study. 
 e See Table 3K, Column F. 
 
 The preceding tables indicate that the number of employees attached 
 to the industry has increased but slightly during the decade, a conclusion 
 which accords with the almost .stationary number of farms shown by the 
 Census. Average wages, when measured in terms of purchasing power, 
 were just a little higher in 1920 than in 1909, though the years 1917 to 
 1919 were marked by a noticeable increase in the prosperity of the farm 
 laborer. In all years, the wages of farm laborers are much lower than are 
 those of employees in most other lines even when an allowance is made for 
 board and lod»in<i' a) farm prices, bu1 Ibis differential is doubtless accounted 
 for to some extent by the fact that food and lodging are valued on the farm 
 at rates much cheaper than those which must be paid by city workers for 
 goods or services of equal quality. The fraction of the total net value 
 product paid out in salaries and wages is evidently far lower than in most 
 other industries, due doubtless to the large number of farm operators who 
 
 ,
 
 AGRICULTURE 
 
 59 
 
 have practically no hired employees. The percentage rose sharply in 1920, 
 the laborers not suffering from the price decline as severely as did the 
 entrepreneurs. 
 
 § 3h. The Share of the Entrepreneurs and Other Property Owners 
 
 Table 30 shows that the entrepreneurs and other property owners 
 attained unusual prosperity in the years 1917 to 1919 inclusive, but that 
 1920 was for them materially the worst year in the decade, their income 
 being less than half what it was in the year previous. 
 
 TABLE 30 
 
 AN ESTIMATE OF THE SHARE OF THE ENTREPRENEURS AND OTHER 
 PROPERTY OWNERS" IN THE NET VALUE PRODUCT OF AGRICUL- 
 TURE 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 Year 
 
 Total net 
 
 value 
 product b 
 (Millions) 
 
 Share of 
 employees' 1 
 
 (Millions) 
 
 Share of entre- 
 preneurs and 
 other property 
 owners 
 (Millions) 
 B — C 
 
 Index of 
 prices of 
 
 goo Is con- 
 sumed by 
 workers and 
 
 well-t o-do 
 families d 
 
 Purchasing 
 
 power of share 
 of eni repreneurs 
 and other prop- 
 erty owners a1 
 price of 1913 
 (Millions 
 D 
 
 E 
 
 1909 
 
 1910 
 
 1911 
 
 $ 4,686 
 5,728 
 5,368 
 5,286 
 
 5,887 
 6,0m 
 6,376 
 7,249 
 
 9,720 
 12,682 
 14,835 
 
 9,853 
 
 $ 717 
 716 
 756 
 761 
 
 786 
 
 767 
 786 
 848 
 
 1,059 
 1,251 
 1,500 
 1,742 
 
 $ 3,969 
 5,012 
 4,612 
 4,525 
 
 5,101 
 5,273 
 5,590 
 6,401 
 
 8,661 
 11,432 
 13,335 
 
 8,111 
 
 .955 
 .978 
 .984 
 
 .995 
 
 1.000 
 1.011 
 1.023 
 1.097 
 
 1 . 280 
 1 517 
 1.717 
 2.124' 
 
 $4,156 
 5,124 
 4,687 
 
 1912 
 
 1913 
 
 4,547 
 5,101 
 
 1914 
 
 1915 
 
 1 >16 
 
 5.215 
 5,464 
 5,835 
 
 l r )17 
 
 1918 
 
 1919 
 
 1920 
 
 6,766 
 7,390 
 7,634 
 3,819' 
 
 a Includes owners of rented farms and owners of farm mortgages. 
 6 See Table 3K, Column F. 
 c See Table 3L, Column F. 
 
 d An average of the indices for the working classes and for families spending $5,000 
 on consumption goods, the weights used being 3 and 1 respectively. 
 e Rough preliminary estimate. 
 
 § 3i. The Physical Output of Agricultural Produce 
 
 It is also of interest to see whether the output of the industry is increasing 
 or diminishing. This point is covered by the figures in Table 3P.
 
 GO 
 
 THE ESTIMATE BY SOURCES OE PRODUCTION 
 
 
 TABLE 3P 
 
 AN ESTIMATE OF THE VALUE AT PRICES OF 1913 OF ALL PRODUCTS 
 CONSUMED BY FARMERS OR SOLD OPT THE FARMS OF THE CON- 
 TINENTAL UNITED STATES 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 H 
 
 
 Crops 
 
 Animals and animal products 
 
 All 
 products 
 
 
 
 
 Value at 
 
 
 
 Value at 
 
 
 
 Value at 
 
 Index of 
 
 prices at 
 
 December 
 
 1st 
 
 prices of 
 
 Value at 
 
 
 average 
 
 Value at 
 
 Year 
 
 prices of 
 
 December 
 
 average 
 
 Index of 
 
 prices of 
 
 1913 
 
 
 December 
 
 1st, 1913 
 
 prices of 
 
 average 
 
 1913 
 
 prices 
 
 
 1st « 
 
 (Millions) 
 
 year b 
 
 prices of 
 
 (Millions) 
 
 (Millions) 
 
 
 (Millions) 
 
 B 
 C 
 
 (Millions) 
 
 year e 
 
 E 
 
 F 
 
 D + G 
 
 1909. . 
 
 $2,762 
 
 .957^ 
 
 $2,886 
 
 $2,218 
 
 .891 
 
 $2,489 
 
 $5,375 
 
 1910. 
 
 2,696 
 
 .887^ 
 
 3,039 
 
 3,277 
 
 .987 
 
 3,320 
 
 6,359 
 
 1911. 
 
 2,585 
 
 .997 c 
 
 2,593 
 
 2,968 
 
 .850 
 
 3,492 
 
 6,085 
 
 1912. . 
 
 2,816 
 
 .879 c 
 
 3,204 
 
 2,585 
 
 .925 
 
 2,795 
 
 5,999 
 
 1913. . 
 
 2,971 
 
 1.000c 
 
 2,971 
 
 2,989 
 
 1.000 
 
 2,389 
 
 5,960 
 
 1914. . 
 
 2,820 
 
 .883 c 
 
 3,194 
 
 3,359 
 
 1 . 022 
 
 3,287 
 
 6,481 
 
 1915.. 
 
 3,347 
 
 .969 c 
 
 3,454 
 
 3,166 
 
 .963 
 
 3,287 
 
 6,741 
 
 1916. . 
 
 4,541 
 
 1.610c 
 
 2,821 
 
 3,041 
 
 1.098 
 
 2,769 
 
 5,590 
 
 1917.. 
 
 6,429 
 
 2.050c 
 
 3,136 
 
 3,902 
 
 1.557 
 
 2,506 
 
 5,642 
 
 1918.. 
 
 7,119 
 
 2.101c 
 
 3,389 
 
 6,189 
 
 1.851 
 
 3,344 
 
 6,733 
 
 1919. . 
 
 8,362 
 
 2.436c 
 
 3,433 
 
 7/22S 
 
 1 . 962 
 
 3,684 
 
 7,117 
 
 1920. . 
 
 5,094 
 
 1.401c 
 
 3,636 
 
 5,882/ 
 
 1.833 
 
 3,209 
 
 6,845 
 
 " See Table 31. 
 
 b See Table 3H. 
 
 c Computed from table in Monthly Crop Reporter, Dec. 1920, p. 150, weighting crops 
 in proportion to importance of sales or home consumption. 
 
 d Estimated on basis of index of all crops. See Yearbook of Department of Agricul- 
 ture, 1918, p. 701. 
 
 - Average of prices of meat animals, poultry, eggs, and dairy products weighted in 
 proportion to the sales of each in 1919. Data from Monthly Crop Reporter. 
 
 f Rough estimate only. 
 
 Table 3P makes it clear that the physical volume of agricultural prod- 
 ucts has t ended to increase slowly during the decade, 1919 being the 
 banner year. 
 
 It is however, of greater interest to learn whether the output per person 
 engaged in agriculture is increasing or diminishing and also whether the 
 output is or is not keeping pace with the growth of population in the United 
 States. The facts in this connection are shown in Table 3Q.
 
 AGRICULTURE 
 
 61 
 
 TABLE 3Q 
 
 AN ESTIMATE FOR THE CONTINENTAL UNITED STATES OF THE OUT 
 PUT OF AGRICULTURAL PRODUCTS PER INHABITANT AND PER 
 PERSON ENGAGED IN AGRICULTURE 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 H 
 
 
 Thousands of Persons Engaged 
 
 Estimated 
 
 Value of Output at Prices of 
 
 
 in 
 
 Agriculture 
 
 Popula- 
 tion of 
 United 
 
 
 1913 
 
 
 Year 
 
 
 
 
 
 Per person 
 
 Per inhab- 
 itant of 
 
 the United 
 Sta1 
 F-5-E 
 
 
 Farmers 
 
 Em- 
 ployees d 
 
 Total 
 
 States/ 
 June 30 
 (Millions) 
 
 Total/ 
 (Million 
 
 engaged in 
 agriculture 
 
 F -r D 
 
 1909 . . . 
 
 6,330 c 
 
 2,376 
 
 8,706 
 
 90.4 
 
 $5,375 
 
 $617 
 
 $59 
 
 1910. . . 
 
 6,362 o 
 
 2,379 
 
 8,741 
 
 92 2 
 
 6,359 
 
 727 
 
 69 
 
 1911. . . 
 
 6,376 e 
 
 2,388 
 
 8,764 
 
 93.8 
 
 6,084 
 
 694 
 
 65 
 
 1912. . . 
 
 6,388 c 
 
 2,390 
 
 8,778 
 
 95.3 
 
 5,999 
 
 .is:; 
 
 63 
 
 1913. . . 
 
 6,400 c 
 
 2,394 
 
 8,794 
 
 97 3 
 
 5,960 
 
 678 
 
 til 
 
 1914. . . 
 
 6,410c 
 
 2,393 
 
 8,803 
 
 99.2 
 
 6,481 
 
 736 
 
 65 
 
 1915. . . 
 
 6,418 c 
 
 2,382 
 
 s.sOO 
 
 100.4 
 
 6,741 
 
 766 
 
 67 
 
 1916. . . 
 
 6,425 c 
 
 2,373 
 
 8,798 
 
 101.7 
 
 5,590 
 
 635 
 
 55 
 
 1917. . . 
 
 6,432 c 
 
 2,288 
 
 8,720 
 
 103.1 
 
 5,642 
 
 647 
 
 55 
 
 1918. . . 
 
 6,438 c 
 
 2,121 
 
 8,559 
 
 104.2 
 
 6,733 
 
 786 
 
 65 
 
 1919. . . 
 
 6,443 c 
 
 2,220 
 
 8,663 
 
 104.8 
 
 7.117 
 
 821 
 
 68 
 
 1920. . . 
 
 6,448 b 
 
 2,366 
 
 8,814 
 
 106. 
 
 6,845o 
 
 i , < 
 
 64 
 
 ° Abstract of Census of U. S. 1910, p. 265. Number of farms is identical with num- 
 ber of farmers. 
 
 b Press bulletin of Bureau of Census, June 22, 1921. 
 
 c Interpolated along a smooth curve. 
 
 d See Table 3M, Column G. 
 
 e Interpolated between Census estimates by means of a special study elsewhere re- 
 corded. 
 
 / See Table 3P, Column H. 
 
 o Rough estimate only. 
 
 The figures in Column G show that the gross value of the output per 
 person engaged in agriculture is about the same as the average annual 
 earnings of factory or railway employees. From this gross output, how- 
 ever, the agriculturalist must subtract payments for interest, insurance, 
 fertilizers, machinery, etc., before arriving at his net income and this nel 
 income includes not only payment for his services but also for the use of 
 any property which he may possess and for any farm work performed by 
 his wife or children. It seems clear then that when farm laborers and 
 farmers are considered as a joint group, their economic condition, if meas- 
 ured in monetary terms, compares unfavorably with that of the employees 
 of railways or of manufacturing concerns. 
 
 The last column of the table shows that gross agricultural output is just
 
 G2 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 
 about keeping pace with the population of the nation, no marked trend 
 being discernible. 
 
 § 3j. The Relative Position of Agriculture Among the Industries 
 
 The final question to be considered is: "Is agriculture playing an in- 
 creasing or diminishing role in the industry of the country?" This query 
 is answered by Table 3R which shows that the proportion of the total 
 value product of all industries produced by agriculture remained nearly 
 constant until 1917 and then rose very sharply. The probabilities are, 
 however, that the percentage will fall very materially in 1920. 
 
 TABLE 3R 
 
 
 THE PER CENT OF THE NET VALUE PRODUCT OF ALL INDUSTRIES IN 
 THE CONTINENTAL UNITED STATES PRODUCED BY AGRICULTURE 
 
 Year 
 
 Total net value 
 
 product of all 
 
 industries c 
 
 (Millions) 
 
 Net value product 
 
 of agriculture 6 
 
 (Millions) 
 
 Per cent of the net 
 value product originat- 
 ing in agriculture 
 
 1909 
 
 $28,775 
 31,766 
 31,188 
 33,554 
 
 35,580 
 33,936 
 36,109 
 45,418 
 
 53,860 
 
 60,:;<w; 
 
 65,000" 
 
 $ 4,686 
 5,728 
 5,368 
 5,286 
 
 5,887 
 6,040 
 6,376 
 7,249 
 
 9,720 
 12,682 
 14,835 
 
 9,853 o 
 
 16.3 
 
 1910. 
 
 18.0 
 
 1911. 
 
 17.2 
 
 1912. 
 
 15.8 
 
 1913 
 
 16.5 
 
 1914. . 
 
 17.8 
 
 1915 
 
 1916 
 
 17.7 
 16.0 
 
 1917 
 
 1918 
 
 18.0 
 21.0 
 
 1919 
 
 22.8" 
 
 1920 
 
 
 a Rough preliminary estimate only. 
 
 b See Table 3K, Column F. 
 
 c Summary compiled from the reports of the separate industries. 
 
 § 3k. Returns for the Efforts of Farm Operators 
 
 It is a fact worthy of comment that while about thirty per cent of the 
 gainfully employed persons in the United States are engaged in agricul- 
 ture, the industry normally receives only about seventeen per cent of the 
 national income. In a preceding paragraph, attention has been called to 
 the relatively small average income received by farmers and agricultural 
 laborers when considered as a single class. Column D of Table 3N makes it 
 clear, however, that agricultural laborers receive low wages. Do farm opera- 
 tors secure high returns for their physical and mental effort and managerial 
 skill? Table 3S has been constructed with a view to answering that query.
 
 AGRICULTURE 
 
 63 
 
 TABLE 3S 
 
 AX ESTIMATE OF THE REWARDS FOR MANAGEMENT AND LABOR RE- 
 CEIVED BY THE FARMERS OF THE CONTINENTAL UNITED STATES 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 II 
 
 I 
 
 J 
 
 Year 
 
 Total 
 value of 
 
 farm 
 property 
 including 
 cash used 
 as working 
 capital ff 
 (Millions) 
 
 As- 
 sumed 
 
 in- 
 terest 
 
 rate 
 
 on 
 invest- 
 ment 
 
 Rewards 
 ascrib- 
 ahle to 
 
 propert y 
 (Mil- 
 lions) 
 BXC 
 
 Total re- 
 turns to 
 entrepre- 
 neurs and 
 
 other 
 property 
 owners d 
 (Millions) 
 
 Reward 
 
 for 
 farmer's 
 manage- 
 ment 
 and labor 
 (Millions; 
 E— D 
 
 Num- 
 ber of 
 
 farm- 
 ers e 
 (Thou- 
 sands) 
 
 Aver- 
 age re- 
 war I 
 per 
 farmer 
 F 
 
 G 
 
 Index 
 
 of 
 
 prices 
 
 of goods 
 
 con- 
 sumed 
 by far- 
 mers / 
 
 Average 
 reward 
 
 per 
 
 farmer 
 
 •it prices 
 
 of 1913 
 
 H 
 
 I 
 
 1901 
 1910 
 1911 
 1912 
 
 1913 
 1914 
 1915 
 1916 
 
 1917 
 1918 
 
 1919 
 1920 
 
 $40,059 c 
 41,400" 
 42,225 c 
 
 42,917 c 
 
 45 227 c 
 46|619c 
 48,199c 
 52,687 c 
 
 57,110 c 
 
 64,122 c 
 71,848 c 
 78,707 b 
 
 .05 
 .05 
 . 05 
 .05 
 
 .05 
 .05 
 . 05 
 .05 
 
 .05 
 . 05 
 . 055 
 .085 
 
 $2,003 
 2,070 
 2,111 
 2,146 
 
 2,261 
 2,331 
 2,410 
 2,634 
 
 2,855 
 3,20ii 
 3,951 
 5,116 
 
 $3,969 
 5,012 
 4,612 
 4,525 
 
 5,101 
 5,273 
 5,590 
 6,401 
 
 8,660 
 11,432 
 13,335 
 
 8,111 
 
 $1,966 
 2,942 
 2,501 
 2,379 
 
 2,840 
 2,942 
 3,180 
 
 3,767 
 
 5,805 
 8,226 
 9,384 
 2,995 
 
 6,330 
 6,362 
 
 6.376 
 6,388 
 
 6,400 
 6,410 
 6,418 
 6,425 
 
 6,432 
 6,438 
 
 6, 143 
 
 6,448 
 
 $311 
 462 
 392 
 372 
 
 444 
 459 
 195 
 586 
 
 903 
 1,278 
 1,453 
 
 465 
 
 .955 
 
 .978 
 
 984 
 
 .995 
 
 1.000 
 1.011 
 
 1 . 023 
 1.097 
 
 1 . 280 
 1 . 547 
 1.747 
 2.124 
 
 $326 
 472 
 398 
 374 
 
 444 
 454 
 484 
 534 
 
 705 
 826 
 833 
 219 
 
 « Abstract of the Census of 1910, p. 265. 
 
 b Preliminary Census bulletins for 1920. 
 
 c Interpolated 
 
 d See Table 30, Column D. 
 
 e See Table 3Q, Column B. 
 
 / See Table 30, Column E. 
 
 9 1.01 times the value of farm property as shown by the Census — the one per cent 
 allowance being an estimate for the cash and bank deposits held by farmers as working 
 capital. 
 
 Since we do not know what percentage ' of all farms are owned by active 
 fanners, it is impossible to ascertain either the total or average income of 
 this class. It is, however, feasible by aid of the material at hand, to make 
 a crude estimate of the amount received by the farmers of the country, as 
 a reward for their physical and managerial labor. Such an estimate in- 
 volves the assumption that a percentage return should be allowed on the 
 investment before calculating the payment for the services of the farmer. 
 This assumption is open to some criticism, but, since it is often entirely 
 practicable for the farmer to sell all of his property and invest it in secur- 
 ities, there seems to be nothing unreasonable in usine- it as a hypothesis. 
 It should, however, be kept firmly in mind that the amounts entered in 
 
 1 The fact that many rented farms art' owned by men who operate other farms, prevents 
 the computation of this percentage.
 
 64 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 ( Jolumn J arc not the average incomes of the farmers but only the amounts 
 which they could count as pay for their physical and managerial services. 
 Individual farmers who were property owners, may well have made or lost 
 several times the recorded sum because of a rise or fall in land values dur- 
 ing the year and that part of their income assigned to the interest allow- 
 ance on the current value of their property may have been far larger than 
 the remainder ascribed to managerial or physical effort or to other profits. 
 ( 'olumn B shows a gain of 15 billions in the value of farm property from 
 1919 to 1920, and, while most of this nominal gain was doubtless merely 
 a reflection of the rise in the general price level, yet, in some sections, farm 
 lands probably rose in value even faster than commodities in general. 
 \Y< re the speculative gains in such instances added to the $219 recorded in 
 Column J, the average gain for farm owners in 1920 would doubtless com- 
 pare much more favorably with other years in the decade. In connection 
 with the latter point it should also be noted that the extremely low calcu- 
 lated reward for the farmer's labor and management in 1920 was occa- 
 sioned to a considerable extent by the heavy property charge resulting 
 from the unusually high land values and high interest rates current at that 
 time. 
 
 The indications from Table 3S are then that farmers, even though they 
 are entrepreneurs, and belong to the class usually considered to consist of 
 men of higher talents than mere employees, nevertheless obtain on the 
 average less money value in return for their efforts than do the average 
 employees in most lines of industry. Only in the years 1918 and 1919 did 
 they receive more than the average earnings for all employees in the 
 United States, while in 1920 their rewards fell to a mere fraction of the 
 average wage in other lines. Even though the same money will buy con- 
 siderably more of certain commodities in the country than in the city, it 
 nevertheless appears that the average farmer can scarcely with justice be 
 considered a pampered child of fortune. 
 
 .
 
 CHAPTER 1 
 MINES, QUARRIES, AND OIL WELLS 
 
 $ 4a. Sources of Information 
 
 The four chief sources of information concerning this field are the Cen- 
 sus, the reports of the United Stales Geological Survey, the United Stales 
 Income Tax data, and the reports of various State Bureaus devoted to 
 the study of mining or labor conditions. Unfortunately, the State reports, 
 in most instances, are either issued irregularly or fail to furnish informa- 
 tion comparable for the various years under consideration. This necessa- 
 rily results in a distinct loss of accuracy in the estimates based thereupon. 
 
 § 4b. The Share of the Entrepreneurs and Other Property Owners 
 
 The share of the entrepreneurs and other property owners in the net 
 value product consists of the rents, royalties, and interest received by pri- 
 vate parties from their investments in this field plus the profits derived 
 from the mining industry by the private or corporate entrepreneurs oper- 
 ating therein. In estimating the aggregate of rents and royalties, it lias 
 been assumed that these payments vary in proportion to the gross value 
 of mineral products in the United States as reported by the United States 
 Geological Survey. The Census of 1909 is used as a base. Royalties at a 
 fixed rate per ton would not increase with the price level and hence con- 
 tracts of this type would tend to make the estimates for the later years too 
 high. On the other hand, many royalties become proportionally greater 
 as mineral output increases in value. Contracts of this variety would 
 tend to offset the effects of those of the type first mentioned. Since the 
 relative weights of these factors arc unknown, the assumption that they 
 cancel each other is the best that can be made. The resulting estimates 
 appear in Table 4 A. 
 
 The basic estimates of profits and interest payments utilized in this 
 study are those shown in the 1918 report of the United States Commis- 
 sioner of Internal Revenue on Statistics of Income. It show-; on page 15 
 that interest payments by mining corporations were $67,010,715. A 
 study of the reports of mining corporations as given in Moody's Manual 
 of Corporations Statistics indicates that about 97 per cent of the net amount 
 of interest paid by mining corporations goes to the bondholders. The 
 
 65
 
 66 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 4A 
 
 THE ESTIMATED AGGREGATE OF RENTS AND ROYALTIES DERIVED 
 FROM THE LEASE OF MINERAL RIGHTS IN THE CONTINENTAL 
 UNITED STATES 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 Calendar 
 year 
 
 Rents plus 
 
 royalties ; 
 
 Census years 
 
 (Thousands) 
 
 Gross value of min- 
 eral output according 
 to Geological Survey 
 (Thousands) 
 
 Ratio of 
 B toC 
 in 1909 
 
 Estimated total 
 
 of rents and 
 
 royalties 
 
 (Millions) 
 
 C XD 
 
 1909 . 
 
 $72,945" 
 
 $1,887,5826 
 1,992,406 6 
 1,927,532 6 
 2,243,6306 
 2,439,160 c 
 
 2,118,306 c 
 2,397,745 c 
 3,514,600 c 
 4,992,128 c 
 5,543,456 c 
 
 .03865 
 
 $ 73 <* 
 
 1910. . 
 
 77 
 
 1911 
 
 74 
 
 1912 
 
 1913 
 
 87 
 94 
 
 1914 
 
 1915 
 
 1916 
 
 82 
 
 93 
 
 136 
 
 1917 
 
 1918.. 
 
 193 
 214 
 
 
 
 a Includes the $64,155,000 reported as royalties and rent of mines and $8,790,000 
 representing an estimated rent for offices, the amount being one-fifth of the item en- 
 tered as "Rent of cffices'and other sundry expenses." See the Abstract of the United 
 
 States Census for 1910, p. 541. 
 
 6 Statistical Abstract of the U. S., 1913, p. 217. 
 c Statistical Abstract of the U. S., 1919, p. 243. 
 
 total bond interest paid by corporations therefore apparently amounts to 
 about $65,000,000. 
 
 On a previous page, the fact has been noted that corporate enterprises 
 produce about 95 per cent of the entire output of the mining industry. If 
 their funded debt represents the same percentage of the total, it appears 
 that in 1918 the interest thereon for the entire mining industry must have 
 been approximately $65,000,000, divided by 0.95 or $68,400,000. 
 
 The assumption has been made that the interest payments in the earlier 
 years varied in the same ratio as did the similar payments made by 25 
 typical mining corporations, the records of which appear in Moody's 
 Manual of Corporation Securities. Since the amount is relatively very 
 small, its accuracy is a matter of but minor importance. 
 
 In 1918, the reported net income after the deduction of interest and 
 taxes, was $.304,939,703. l The percentage of the entire gross output of 
 minerals produced by enterprises in the corporate form increased from 
 86.3 2 in 1902 to 91.4 3 in 1909. It seems probable, therefore, that, by 
 
 ■ Statistic* of Income, 191N, p. 16. 
 
 - U. S. Census of Mines and Quarries, 1902, p. 67. 
 
 3 U. S. Census of Mines and Quarries, 1909, p. 32. 
 
 ,
 
 MIXES QUARRIES, AND OIL WELLS 
 
 67 
 
 TABLE 4B 
 
 AN ESTIMATE OF THE TOTAL INTEREST RECEIVED ON INVESTMENTS 
 IN MIXES, QUARRIES, AND OIL WELLS IX THE CONTINENTAL 
 
 EXITED STATES 
 
 A 
 
 B 
 
 (' 
 
 I) 
 
 E 
 
 Calendar year 
 
 Estimated 
 
 interest total 
 
 tor 1918 
 (Thousands) 
 
 Interesl on funded 
 
 del >t paid by 2~> 
 
 typical mining 
 
 corporal ions h 
 
 (Thousands 
 
 Ratio of 
 
 n to c 
 
 in 1918 
 
 1 Ssl imated total 
 
 interest on 
 
 investments 
 
 (Millions) 
 
 C X D 
 
 1909 
 
 1910 
 
 $68,400" 
 
 $5,496 
 
 r,.974 
 
 6,7.",:; 
 6,876 
 6,689 
 
 7,392 
 8,051 
 7.S09 
 7,566 
 8,306 
 
 8 234 
 
 145 
 
 49 
 
 1911 
 
 56 
 
 1912 
 
 1913 
 
 1914 
 
 1915 
 
 57 
 55 
 
 61 
 66 
 
 L916 
 
 ill 
 
 1917 
 
 1918 
 
 62 
 68 
 
 a For derivation, see the text. 
 
 b From Poor's and Moody's Manuals <■/ Corjumilion Securities. 
 
 1918, corporations had come to control 95 per cent of the value of mineral 
 products. If so, the total net income of the mining industry may be 
 estimated as about .$321,000,000, in L918. 
 
 The reports of 110 mining and oil producing corporations cited in 
 Moody's Analyses of Industrial Investments show that 71.72 per cent of 
 net earnings after the deduction of interesl charges were paid out as 
 dividends. If this percentage i assumed to hold for all enterprises, the 
 conclusion is that the total disbursed profits in 1918 amounted to 0.7172 
 X $321,000,000, or about $230,100,000. In earlier years, these disbursed 
 profits have been estimated upon the basis of the aggregate reported div- 
 idends of the metal mining companies reported in the Engineering and 
 Mining Journal and of a few coal and iron corporations for which con- 
 tinuous reports are given in Poor's or Moody's Manuals. These dividends, 
 as reported, contain many duplications due to the existence of holding 
 and interlocking companies and they also include payments made by some 
 concerns engaged largely in manufacturing. The result is that their sum 
 is decidedly larger than the net amount indicated by the reports of the 
 ( oimcissioner of Internal Revenue. The mode of reduction is indicated 
 in Table 4C. 
 
 Not all of the profits of mining concerns are withdrawn from the busi- 
 ness by the owners, a very considerable fraction being saved. In the case
 
 (>8 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 of the 25 corporations studied, the records show the fraction of the total 
 profits carried to surplus. The assumption is made that this fraction 
 applies to all mineral producing enterprises. The estimates based upon 
 this premise also appear in Table 4C. The reduction of these sums to a 
 basis of purchasing power at the price level of 1913 is shown in Table 4D. 
 
 TABLE 4C 
 
 AN ESTIMATE OF THE DISTRIBUTED PROFITS AND BUSINESS SAVINGS 
 OF ALL MINING CONCERNS IN THE CONTINENTAL UNITED STATES 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 H 
 
 Cal- 
 endar 
 year 
 
 Distributed 
 profits as 
 indicated 
 by reports 
 of income 
 
 tax a 
 (Thousands) 
 
 Gross divi- 
 dends of 
 selected 
 mining and 
 oil produc- 
 ing cor- 
 porations b 
 (Millions) 
 
 Ratio 
 
 of 
 B toC 
 in 1918 
 
 Estimated 
 distributed 
 profits of 
 all con- 
 cerns 
 (Millions) 
 C XD 
 
 Ratio of 
 annual sur- 
 plus to divi- 
 dends in 
 selected 
 corporations 
 
 Estimated 
 
 business 
 
 savings 
 
 of all 
 
 concerns 
 
 (Millions) 
 
 E X F 
 
 Estimated 
 total 
 
 profits in- 
 cluding 
 savings e 
 
 (Millions) 
 E +G 
 
 1909.. 
 1910. . 
 1911. . 
 1912. . 
 1913.. 
 
 1914. . 
 1915.. 
 1916. 
 1917. . 
 1918. 
 
 $230,100 
 
 $141 
 147 
 151 
 172 
 200 
 
 170 
 
 187 
 306 
 449 
 366 
 
 .6280 
 
 $ 88 
 
 92 
 
 95 
 
 108 
 
 125 
 
 107 
 117 
 192 
 282 
 230 
 
 . 6236 c 
 
 .3646c 
 . 5954 e 
 .3364c 
 
 .3200c 
 .7996c 
 1.0878c 
 . 5229 c 
 . 3436 d 
 
 $ 55 
 35 
 35 
 64 
 
 42 
 
 34 
 
 94 
 209 
 147 
 
 79 
 
 $144 
 127 
 130 
 173 
 168 
 
 141 
 211 
 402 
 429 
 309 
 
 a For derivation, see text . 
 
 b These items are the respective sums cf the total dividends reported in the January 
 numbers of The Engineering and Mining Journal for mines of metals other than iron 
 and of the dividends of eight important coal and iron producing corporations as re- 
 ported in Moody's Manual of Corporal ion Securities. 
 
 c Calculated from the records of 25 typical mining corporations as reported in Moody's 
 Manual of Corporation Securities. 
 
 >' Calculated from the records cf 110 selected mining and oil corporations reported in 
 Moody's Analyses of Industrial Investments, 1920. This ratio corresponds quite closely 
 to one calculated from the reports <f the 25 typical corporations for the same year. 
 
 • Mr. W. It. Ingalls, one of our Directors, in an unpublished study on The Value of 
 the Minis of the United States, estimates the average annual net earnings of the mines 
 in the years 1911 to 1913 at $330,000,000, and is therefore inclined to think that the 
 figures in Column H are somewhat too low for the years mentioned. He reaches his 
 result by using as a basis the reports of the U. S. Bureau of Internal Revenue on the 
 total income, before deducting Federal taxes, of all mining corporations in 1916. Under 
 the law at that time, each corporation had to report its income separately; hence if one 
 corporation paid dividends to another corporation, this income was duplicated in the 
 totals, making them too large. As Mr. Ingalls states, the 8330,000,000 is the amount 
 before any allowance is made for depletion. It also takes in the earnings of metallur- 
 gical works which we have attempted to exclude. For our purposes, taxes must be 
 deducted; while Mr. Ingalls has used the income figures as they stand before taking 
 out the tax payments. In view of the facts just cited, it is evident that there may be 
 no real discrepancy between the estimates of Mr. Ingalls and the ones here presente I. 
 
 ,
 
 MIXES, QUARRIES AND OIL WELLS 
 
 69 
 
 TABLE 4D 
 
 AN ESTIMATE OF THE PURCHASING POWER OF THE BUSINESS SAVINGS 
 OF CONCERNS OPERATING MINES, QUARRIES, AND OIL WELLS 
 
 A 
 
 B 
 
 C 
 
 D 
 
 Calendar 
 year 
 
 Estimated total 
 savings 
 (Millions) 
 
 Index of construc- 
 t ion cos 
 (Base, 1913) 
 
 Equivalent of savings 
 measured in new con- 
 struction at prices of 
 1913 
 
 (Thousands) 
 B -=-C 
 
 1909 
 
 $ 55 
 35 
 35 
 64 
 42 
 
 34 
 94 
 
 209 
 
 147 
 
 79 
 
 .927 
 
 .953 
 
 .945 
 
 983 
 
 l.ooo 
 
 .((00 
 
 .992 
 
 1.194 
 
 1 . 47:5 
 
 1.499 
 
 $ 59 
 
 1910 
 
 36 
 
 1911 
 
 37 
 
 1912 
 
 1913 
 
 1914 
 
 66 
 42 
 
 36 
 
 1915 
 
 1916 
 
 1917 
 
 1918 
 
 94 
 
 175 
 
 100 
 53 
 
 a See Table 4C, Column G. 
 
 b Based upon Bureau of Labor Statist ics indices, combined after weigb.1 ing as follows: 
 union scale of wages, 3; wholesale prices of metals and metal products, 2; lumber and 
 building materials, 1. 
 
 The notable feature brought out by Tables 4C and 4D is the enormous 
 increase in savings during the period immediately preceding the entrance 
 of the United States into the war and the sharp decline thereafter. The 
 figures in the last column of 'Fable 4D show that this increase remains 
 very large even after values are corrected for changes in the price level. 
 
 Table 4E summarizes the disbursements to the entrepreneurs and 
 owners of property used in the mining industry. 
 
 It is evident that the revenues derived from mining increase 1 materially 
 during the latter years of the decade under consideration. Since this 
 increase is presumably due primarily to war conditions, it is doubtful that 
 it represents any permanent tendency. In fact available reports of min- 
 ing corporations indicate that in 1919 and 1920 the earnings of many 
 companies are much lower and in some instances heavy deficits have 
 
 The Census of 1909 indicates tli.e our estimates are more likely to be too high than 
 too low, for it shows total returns to entrepreneurs and investors of only $164,218,893; 
 and from this amount an allowance for depletion must be deducted to arrive at lin- 
 net gain. Both the dividends shown in Column C and the value of mineral output. 
 as estimated by the U. S. Geological Survey (see Table IA. Column C) point to an 
 increase from 1909 to 1913 of something less than one-third over the L909 figures; and 
 this increase corresponds with the estimates recorded in Column E. Corporate savings 
 increased less rapidly than dividend payments. There appears, then, to be QO suffi- 
 cient reason for modifying the estimates here presented.
 
 70 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 4E 
 
 AN ESTIMATE < >F THE TOTAL REVENUES DERIVED BY ENTREPRENEURS 
 AND PROPERTY OWNERS FROM MINES, QUARRIES, AND OIL WELLS 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 Cal- 
 endar 
 year 
 
 Profits 
 
 with- 
 drawn n 
 
 (Millions) 
 
 Total 
 
 rents and 
 
 royalties '' 
 
 (Millions) 
 
 Interest •' 
 (except 
 
 on bank 
 loans) 
 
 (Millions) 
 
 Total revenues 
 withdrawn by 
 entrepreneurs 
 and other prop- 
 erty owners 
 (Millions) 
 B + C+D 
 
 Indices of 
 prices of con- 
 sumption goods 
 used by well- 
 to-do classes'' 
 
 Value of 
 revenues with- 
 drawn at price 
 of 1913 
 (Millions) 
 E -i- F 
 
 1909. . 
 1910. 
 1911. . 
 1912. 
 1913. . 
 
 1914. 
 1915. . 
 1916. . 
 1917 
 1918. . 
 
 $ 88 
 
 92 
 
 95 
 
 108 
 
 125 
 
 107 
 117 
 
 192 
 
 2S2 
 230 
 
 $ 73 
 
 77 
 74 
 87 
 94 
 
 82 
 
 93 
 
 136 
 
 193 
 
 214 
 
 $45 
 49 
 56 
 57 
 55 
 
 61 
 66 
 64 
 
 62 
 
 68 
 
 $207 
 219 
 225 
 251 
 275 
 
 249 
 276 
 392 
 537 
 512 
 
 .965 
 
 .983 
 
 .990 
 
 1.000 
 
 1.000 
 
 1.011 
 .999 
 1.081 
 1 . 225 
 1.406 
 
 $214 
 222 
 227 
 251 
 275 
 
 247 
 276 
 363 
 438 
 364 
 
 a See Table 4C, Column E. 
 b See Table 4 A, Column E. 
 <• See Table 4B, Column E. 
 
 d Simple arithmetic average of indices for classes spending respectively $5,000 and 
 $25,000 per annum. 
 
 occurred. There is also, of course, a question as to whether in calculating 
 the profits reported, sufficient allowances were made for exhaustion of the 
 properties. A failure to make such deductions would necessarily exagger- 
 ate the nominal profits to an equal amount. 
 
 § 4c. Total Wages and Salaries 
 
 The share of the value product which requires the greatest amount of 
 labor to estimate is that going to the employees. To arrive at figures hav- 
 ing any validity whatever, it was necessary to depend mostly upon State 
 reports and many of these are very incomplete. The process followed is 
 summarized in Tables 4F and 4G for the coal mining industry while all 
 other mines are dealt with in Table 4H. 
 
 ,
 
 MIXES, QUARRIES, AND OIL WELLS 
 
 71 
 
 TABLE 4F 
 
 AX ESTIMATE OF TOTAL WAGES AND SALARIES PAID IN THE 
 BITUMINOUS COAL INDUSTRY* OF THE CONTINENTAL UNITED 
 
 STATES 
 
 (Values in Millions of Dollars) 
 
 A 
 
 B 
 
 C D 
 
 E 
 
 F 
 
 G 
 
 H 
 
 
 Estimated total payments to employees 
 based upon reports from 
 
 Index cf 
 total wages 
 
 paid 
 B+C+D 
 2 
 
 Total 
 
 wages 
 
 and 
 
 salaries 
 
 paid in 
 
 Census 
 
 years 
 
 Ratio of 
 F to E 
 
 Total 
 
 Cal- 
 endar 
 year 
 
 Pennsyl- 
 vania De- 
 partment of 
 Internal 
 Affairs a 
 
 Kansas and 
 
 West Vir- 
 ginia Bureau 
 of Mines, 
 and Ohioc 
 estimates h 
 
 Michigan 
 
 Department 
 
 of Labor'/ 
 
 salaries 
 
 and 
 wages 
 
 paid 
 EXG 
 
 1909. . 
 1910. . 
 1911. . 
 1912. . 
 1913. . 
 
 1914. . 
 1915. . 
 1916. . 
 1917. . 
 1918. . 
 
 $277 
 337 
 328 
 370 
 398 
 
 355 
 319 
 434 
 613 
 
 865 
 
 $319 
 348 
 338 
 365 
 409 
 
 359 
 357 
 416 
 547 
 634 
 
 $ 457 
 538 
 561 
 593 
 681 
 
 630 
 634 
 723 
 
 889 
 1,211 
 
 $ 825 
 
 954 
 
 '.117 
 
 1,032 
 
 1,148 
 
 1,029 
 993 
 1,212 
 1,604 
 2,104 
 
 $290/ 
 
 .3515 
 
 $290 
 335 
 333 
 363 
 
 101 
 
 362 
 
 349 
 426 
 564 
 
 711) 
 
 o Product of the total value of bituminous c< al produced in the U. S. (as shown by 
 the Statistical Abstract), and the ratio of wage and salary payments to the value of 
 the coal produced (as indicated by the Pennsylvania reports for each year). 
 
 ''Obtained by calculating an average full time annual wage for miners in each of 
 the three States, computing the mean of the three averages and multiplying it by the 
 estimated number of full time employees in the United States as reported by the U. S. 
 Bureau of Mines. 
 
 ''Wages in the Hocking Valley field estimated from data in the Monthly Labor 
 lui ivw for December, 1919, pp. 225-226. 
 
 d The product of the number of tons mined (as reported by the V. S. Geological 
 Survey) times the cost per ton cf mining coal in Michigan. Since Michigan rates are 
 apparently abnormally high, and that state is a relatively small producer, this estimate 
 is only given one-half the weight of the other two. 
 
 '• Includes the small fiel Is in the West producing anthracite. 
 
 /To the $315,997,000 in \va<j;es reported in the ( 'ensus (if Mines and Quarries f( r 
 1909, p. 183, $159,000 has been added to cover the wages ( f Western anthracite mine-. 
 
 an 1 $12,108,000 has been deducted to pay for the COSt of powder purchased by the 
 miners. Since the ('ensus estimates that 1.72 per cent of the bituminous miners were 
 already counted in manufacturing (Census of Mine.-, L909, p. 17) the remainder just 
 obtained lias been multiplied by 0.9528.
 
 72 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 4G 
 
 AX ESTIMATE OF TOTAL \\ AC IIS VXD SALARIES PAID EX THE 
 ANTHRACITE FIELD AND IN ALL COAL MINES 
 
 Calendar 
 year 
 
 B 
 
 1909 
 
 1910. 
 
 1911. 
 
 1912. 
 
 1913. 
 
 1914. 
 
 1915. 
 1916 . 
 
 1917. 
 1918. 
 
 Average pay- 
 ments to em- 
 I >1< >yees per long 
 ton mined 
 
 $1,240" 
 1.254« 
 1.250a 
 1.345 « 
 1.340«» 
 
 1.340& 
 1.330c 
 
 1.548<* 
 
 1.468'' 
 1.919<* 
 
 C 
 
 Total long 
 tons mined e 
 (Thousands) 
 
 72,38 [ 
 75,433 
 80,771 
 75,323 
 81,719 
 
 81,090 
 79,400 
 78,195 
 88,939 
 
 88,238 
 
 D 
 
 Total wages 
 and salaries 
 
 in the 
 
 anthracite 
 
 industry 
 
 (Millions) 
 
 B XC 
 
 E 
 
 $ 90 
 
 95 
 
 101 
 
 101 
 
 109 
 
 109 
 106 
 121 
 131 
 
 169 
 
 Total wages 
 and salaries 
 
 in the bitu- 
 minous in- 
 dustry/ 
 (Millions) 
 
 S2!)0 
 335 
 333 
 363 
 404 
 
 362 
 349 
 426 
 564 
 740 
 
 Total wages 
 
 and salaries 
 
 in the coal 
 
 mining 
 
 industry 
 
 (Millions) 
 
 D + E 
 
 $380 
 430 
 434 
 464 
 513 
 
 470 
 455 
 
 548 
 695 
 909 
 
 a Annual Report, of Pa. Secretary of Internal Affairs, Part III. 
 
 b Interpolated. 
 
 c Annual Report of Pa. Commissioner of Labor and Industry, Part I. 
 
 '' Pa. Depart incut of Internal Affairs, Report, on Productive industries. 
 
 r Statistical Abstract of United Slates. 
 
 f See Table 4F, Column H. 
 
 Statistics pertaining to the mines of stone, metals, and miscellaneous 
 minerals are very scattered and disjointed; hence the estimates presented 
 in Table 4H represent a combination pieced together from various sources. 
 The fundamental assumption involved is that wages are roughly propor- 
 tional to the value of output.
 
 MINES, QUARRIES, AND OIL WELLS 
 
 73 
 
 TABLE 4H 
 
 AX ESTIMATE OF TOTAL WAGES AND SALARIES FOR ALL EMPLOYEES 
 OF MINES, QUARRIES, AND OIL WELLS EXCEPT COAL MINES 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 H 
 
 Calen- 
 dar 
 
 year 
 
 Index of 
 
 daily 
 wages a 
 
 Days of 
 labor per- 
 formed in 
 metal mines 
 and quarries 
 oftheU.S.6 
 (Thousands 
 
 Ratio of 
 Value of min- 
 eral products 
 (except COal) 
 to value of 
 metal and 
 
 quarry 
 products'* 
 
 Index of 
 total wages 
 
 paid in 
 
 metal 
 
 mines and 
 
 quarries 
 
 BXCX D 
 
 Estimated 
 
 wages and 
 
 salaries in 
 
 ( !ensus year 
 
 (Thousands 
 
 Ratio of 
 1 bo 1. 
 
 Total 
 wages and 
 
 salaries 
 
 paid 
 
 (Million,) 
 
 E XO 
 
 1,000 
 
 
 1,000 
 
 1909 . . . 
 
 1910 .. . 
 
 1911 .. . 
 
 1912 . . . 
 
 1913 . . . 
 
 1914 . . . 
 
 1915 . . . 
 
 1916 . . . 
 
 1917 . . . 
 
 1918 . . . 
 
 .905 
 .910 
 .951 
 .980 
 1.000 
 
 .953 
 
 .998 
 
 1.153 
 
 1.387 
 
 1 . 568 
 
 67,680 c 
 
 71,000 c 
 71,1526 
 76,650«» 
 81,2206 
 
 63,242 6 
 67,3336 
 80,6736 
 79,0836 
 72,0886 
 
 1.330 
 1 334 
 1 . 369 
 1.341 
 1.378 
 
 1.447 
 1.418 
 1.307 
 1 . 333 
 1 382 
 
 81 ' 
 
 86 
 
 93 
 101 
 112 
 
 s? 
 
 95 
 122 
 1 16 
 156 
 
 $232,148/ 
 
 2.851 
 
 $232 
 246 
 264 
 287 
 319 
 
 249 
 
 272 
 347 
 
 117 
 1 15 
 
 ° Estimated on the basis of wages in the iron minesof Itasca and St. Louis Counties 
 Minn. (Biennial Reports of Minn. Bureau of Labor), in miscellaneous mines in Pa. 
 (Reports of Secretary of Internal Affairs and of Commissioner of Labor and [ndustrj . 
 in the gold mines of the U. S. (U. S. Bureau of Mine-;, Bulletin 144, p. 62), and in 
 Tenn. metal mines and quarries (Annual Reports of Tenn. Mining Department). 
 
 6 See U. S. Bureau of Mines, Technical Papers 245 and 252. 
 
 r Estimated as being proportional to the value of metal and quarry products. 
 
 d Based upon reports of the U. S. Geological Survey and the U. S. Census of M 
 (mil Quarries. 
 
 ■ si thousands equals the product of B, C, and I) in 1909. 
 
 f% 13,7 16,537, duplicated in the Census of Mfg., (see Census of Mints and Quarries, 
 1909, p. 17) has been added to $379,720,000, the total wages in coal mining (see Table 
 4G), and the sum has been deducted from $655,584,467, the amount reported in the 
 Census of Mines and Quarries for 1909. 
 
 § 4d. Number of Employees and Average Earnings 
 
 Wo are interested not only in the total wages and salaries paid, but also 
 in the total number of persons required to operate the mines, quarries, 
 and oil wells of the United States. 
 
 The United States Bureau of Mines in connection with its statistics of 
 mine accident:; shows the number of men at work in the principal classes 
 of mines and quarries each year. These numbers have been compared 
 with the numbers in 1909 working in the maximum month in each industry 
 as shown by the United States Census of Mines and Quarries. Alter con- 
 sidering these quantities and making allowances for the number of workers 
 in miscellaneous industries not covered by the reports of the Bureau of
 
 74 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 Alines, the figures entered in Table 41 have been arrived at. 
 regarded merely as rough approximations to the truth. 
 
 They must bv 
 
 TABLE 41 
 
 TOTAL NUMBER OF EMPLOYEES ATTACHED TO THE INDUSTRY AND 
 TOTAL AND AVERAGE WAGES PAID IN THE MINES, QUARRIES, AND 
 OIL WELLS OF THE CONTINENTAL UNITED STATES 
 
 A 
 
 B 
 
 C 
 
 1) 
 
 E 
 
 V 
 
 G 
 
 H 
 
 I 
 
 J 
 
 
 
 
 
 Employees attached 
 
 Ratio of 
 
 Total 
 
 Average 
 
 
 Wage 
 
 s and sal 
 
 anes 
 
 to industry c 
 
 total 
 
 share 
 
 annual 
 
 Calen- 
 
 ( 
 
 Millions, 
 
 
 (Thousands) 
 
 share of 
 
 of em- 
 
 compen- 
 
 dar 
 
 
 
 
 
 employees 
 
 ployees 
 
 sation 
 
 
 
 
 
 
 
 year 
 
 Of coal 
 
 Of other 
 
 Of all 
 
 Coal 
 
 Other 
 
 All 
 
 to total 
 
 (Mil- 
 
 per em- 
 
 
 miners" 
 
 miners b 
 
 miners 
 B + C 
 
 $ 612 
 
 mines 
 
 725 
 
 mines 
 
 mines 
 E+ F 
 
 1,073 
 
 wages and 
 salaries il 
 
 lions) 
 1.050XD 
 
 ployee 
 I -G 
 
 1909 . . 
 
 $380 
 
 $232 
 
 348 
 
 1.050 
 
 $ 643 
 
 $ 599 
 
 1910 . 
 
 430 
 
 246 
 
 676 
 
 740 
 
 366 
 
 1,106 
 
 
 711 
 
 642 
 
 1911 . 
 
 434 
 
 264 
 
 698 
 
 751 
 
 381 
 
 1,132 
 
 
 733 
 
 647 
 
 1912 . . 
 
 464 
 
 287 
 
 752 
 
 759 
 
 391 
 
 1,150 
 
 
 790 
 
 687 
 
 1913 . . 
 
 5.13 
 
 319 
 
 832 
 
 764 
 
 395 
 
 1,159 
 
 
 874 
 
 755 
 
 1914 . . 
 
 470 
 
 249 
 
 719 
 
 767 
 
 396 
 
 1,103 
 
 
 755 
 
 649 
 
 1915 . . 
 
 455 
 
 272 
 
 727 
 
 771 
 
 392 
 
 1,163 
 
 
 764 
 
 656 
 
 1916 . . 
 
 548 
 
 347 
 
 894 
 
 774 
 
 380 
 
 1,154 
 
 
 939 
 
 814 
 
 1917 . . 
 
 695 
 
 417 
 
 1,112 
 
 776 
 
 365 
 
 1,141 
 
 
 1,169 
 
 1,025 
 
 19 IS . . 
 
 909 
 
 445 
 
 1,354 
 
 779 
 
 329 
 
 1,108 
 
 
 1,422 
 
 1,283 
 
 a Table 4G, Column F. 
 
 b Table 4H, Column H. 
 
 c For derivation, see text. 
 
 d Part of mining is done under contract, the Census of Mines and Quarries, for 1909, 
 p. 21, showing $30,690,000 for contract work, being 5 per cent of the wage bill of 612 
 millions. The total pay of employees evidently amounts therefore to 105 per cent of 
 the wages and salaries paid. 
 
 § 4e. Total Net Value Product and Share of Employees 
 
 We are now in a position to estimate the total net value product of the 
 industry, and the estimates thereof for the various years are recorded in 
 Table 4 J. 
 
 The results indicate that the share of the value product going to the 
 emplo3^ees tends to be a little less than three-fourths of the whole and that 
 their relative share diminished materially in 191(3 and 1917, but showed 
 signs of recovery in 1918. 
 
 To some of the employees, however, the average purchasing power of 
 their annual earnings is a matter of as much interest as is the relative size 
 of their share of the value product,. 1 The employers' direct interest, on 
 
 1 Dr. H. W. Laidler, a Director of the Bureau says: " An increasing number of progressive 
 employees feel that the question of the proportion of the return to employees is of greater 
 importance than the actual size of that return." 
 
 S
 
 MINES, QUARRIES, AND OIL WELLS 
 
 75 
 
 TABLE 4 J 
 
 AN ESTIMATE OF THE NET VALEE PRODUCT OF THE MIXES, QCARRIES, 
 AND OIL WELLS OF THE CONTINENTAL UNITED STATES AND THE 
 PER CENT THEREOF GOING TO THE EMPLOYEES 
 
 
 Millions of dollars 
 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 Calen- 
 
 
 
 
 
 Total net 
 
 Per cent of 
 
 dar 
 
 
 Profits'' 
 
 Interest 
 
 Compensa- 
 
 value 
 
 \ alue prod- 
 
 year 
 
 Rents and 
 
 (including 
 
 on funded 
 
 tion of 
 
 product 
 
 uct going to 
 
 
 royalties ° 
 
 savings) 
 
 debt* 
 
 employees '' 
 
 A + B + 
 C + D 
 
 employees 
 
 101)1) 
 
 E " 
 
 1909.. . . 
 
 $ 73 
 
 $144 
 
 $45 
 
 $ 643 
 
 $ 904 
 
 71.0 
 
 1910.. . . 
 
 77 
 
 127 
 
 49 
 
 711 
 
 964 
 
 73.7 
 
 1911.. . . 
 
 74 
 
 130 
 
 56 
 
 733 
 
 993 
 
 73.8 
 
 1912... . 
 
 87 
 
 173 
 
 57 
 
 790 
 
 1,108 
 
 71.4 
 
 1913.... 
 
 94 
 
 168 
 
 55 
 
 874 
 
 1,191 
 
 73.4 
 
 1914.... 
 
 82 
 
 141 
 
 61 
 
 755 
 
 1,039 
 
 72.7 
 
 1915. . . . 
 
 93 
 
 211 
 
 66 
 
 764 
 
 1,133 
 
 67.4 
 
 1916.. . 
 
 136 
 
 402 
 
 64 
 
 939 
 
 1,541 
 
 60.9 
 
 1917.. . . 
 
 193 
 
 429 
 
 62 
 
 1,169 
 
 1.S53 
 
 63 . 1 
 
 1918... . 
 
 214 
 
 309 
 
 68 
 
 1,422 
 
 2,013 
 
 70 . 6 
 
 « See Table 4A, Column E. 
 b See Table 4C, Column H. 
 c See Table 4B, Column E. 
 d See Table 41, Column I. 
 
 the other hand, centers mainly upon questions pertaining to the efficiency 
 of the workers in producing output. Table 4K throws light upon the situ- 
 ation in both these connections. 
 
 § 4f. The Mineral Output Compared to Earnings and Population 
 
 As a measure of the output of the mining industry, the index of physical 
 production prepared by Professor Edmund E. Day has been used, as it is 
 presumably the best criterion available. It i-; possible that it exaggerates 
 a trifle the expansion of the mining industry during the war years, for it 
 is based upon data concerning the production of leading minerals, and 
 some of the minor industries producing materials for building apparently 
 declined while the larger fields were expanding. However, the minerals 
 covered include such a large proportion of the total that it is improbable 
 that any error from this source is large enough to be a matter of serious 
 moment and, at any rate, its effect would not be either continuous or 
 cumulative; hence, it seems that the figures are amply accurate for the 
 purposes at hand.
 
 70 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 4K 
 
 AN ESTIMATE OF THE PURCHASING POWER OF THE EARNINGS OF THE 
 AVERAGE EMPLOYEE COMPARED WITH THE AVERAGE OUTPUT 
 PER EMPLOYEE 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 Calen- 
 dar 
 year 
 
 Average 
 annual 
 earnings 
 per em- 
 ployee" 
 
 Index of 
 prices of 
 
 goods 
 
 purchased 
 
 by workers'' 
 
 Average 
 earnings 
 at prices 
 of 1913 
 B 
 
 C 
 
 Index of 
 
 physical 
 
 production 
 
 of minerals d 
 
 Total num- 
 ber of em- 
 ployees 
 
 attached 
 to industry 
 
 (Millions) 
 
 Index of 
 
 output per 
 
 employee 
 
 E 
 
 F 
 
 1909 
 
 1910. .. . 
 
 1911 
 
 1912 
 
 1913. ... 
 
 1914. ... 
 1915. ... 
 1916. .. . 
 
 1917 
 
 1918. . 
 
 $ 599 
 642 
 647 
 687 
 755 
 
 649 
 
 656 
 
 814 
 
 1,025 
 
 1,283 
 
 .955 
 .978 
 .984 
 .994 
 1.000 
 
 1.01 
 1.03 
 1.10 
 
 1.29 
 1.58 
 
 $627 
 656 
 658 
 691 
 755 
 
 643 
 
 637 
 740 
 795 
 812 
 
 675 
 717 
 692 
 771 
 809 
 
 721 
 810 
 950 
 
 986 
 995 
 
 1.073 
 1.106 
 1 . 132 
 1 . 150 
 1.159 
 
 1 . 163 
 1.163 
 1 . 154 
 1.141 
 1 108 
 
 629 
 648 
 611 
 670 
 698 
 
 620 
 696 
 
 823 
 864 
 898 
 
 « See Table 41, Column J. 
 
 b Bureau of Labor Statistics index extended back by special investigation. 
 c See Table 41, Column G. 
 
 d Day, Edmund E., Review of Economic Statistics, 1921. An Index of the Physical 
 Volume of Production, p. 22; multiplied by a suitable factor to make comparison easy. 
 
 Table 4K shows a sharp gain in the purchasing power of the average 
 miner's wage beginning with the year 1916. At the same time, a marked 
 increase in physical output is noticeable; in fact the production appears to 
 have increased to a considerably greater extent than the earnings. Fur- 
 ther investigation would be necessary in order to determine whether the 
 larger output was the result mainly of a smaller number of days lost per 
 year, more strenuous effort put forth, or an improvement in mining 
 machinery. 
 
 Another subject of general interest is the relation between the output 
 of minerals and the population of the country. 
 
 According to Professor Day's index, our mineral output increased dur- 
 ing the decade far more rapidly than population. This fact is brought 
 out in Table 4L. 
 
 Table 4L indicates that the exploitation of our mineral resources is 
 proceeding more rapidly than is our growth in population. The large 
 increase in output in 1916, 1917, and 1918 presumably was called forth 
 mostly in response to war requirements and hence may have added little 
 or nothing to the permanent national industrial equipment. 
 
 ,
 
 MIXES, QUARRIES, AND OIL WELLS 
 
 77 
 
 TABLE 4L 
 
 THE RELATIVE CHANCES IN THE PER CAPITA PRODUCTION OF 
 MINERALS IN THE CONTINENTAL UNITED STATES 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 Calendar year 
 
 Population of the United 
 States 
 
 Day's index of 
 physical produc- 
 tion of minerals & 
 
 Index of per capita 
 
 physical production 
 
 of minerals 
 
 100D 
 
 
 Thousands ° 
 
 Index 
 
 C 
 
 1909 
 
 1910 
 
 90,370 
 92,229 
 93)811 
 
 95,338 
 97,278 
 
 99,194 
 100,428 
 101,722 
 103.059 
 101,182 
 
 100.0 
 102.1 
 103.8 
 105.4 
 107.7 
 
 109.8 
 111.1 
 112.5 
 114.1 
 115.3 
 
 100.0 
 106.4 
 102.6 
 114.4 
 119.9 
 
 107.0 
 120.1 
 110.9 
 1 16.4 
 1 17.6 
 
 100.0 
 104.2 
 
 1911 
 
 1912 
 
 98.8 
 108.4 
 
 1913 
 
 1914 
 
 1915 
 
 111.3 
 
 97.4 
 108 1 
 
 1916. . 
 
 125.2 
 
 1917 
 
 128.3 
 
 1918 
 
 128.0 
 
 a See Sec. 2a. 
 
 6 Adjusted from the figures on p. 22 of Edmund E. Day's. An Index of the Physical 
 Volume of Production, Harvard Committee on Economic Research, 1921. 
 
 It is well to keep in mind that while an increase in mineral output is a 
 necessary concomitant of industrial progress, it nevertheless is far from 
 representing a clear gain since it necessarily involves a diminution in the 
 inventory of resources upon which the nation must depend in the future.
 
 CHAPTER 5 
 
 FACTORY PRODUCTION 
 
 (Covering that part of the private Manufacturing Industry included in 
 the totals presented by the United States Census of 1914.) 
 
 § 5a. Importance of the Industry 
 
 This field covered in 1900 more than 90 per cent 1 of the entire manu- 
 facturing industry, 2 and in 1914 the operations carried on therein increased 
 by nearly ten billions of dollars, the value of the materials worked upon. 
 This, then, is a division of the first magnitude, and it is highly important 
 that all estimates therefor be made with the highest practicable degree of 
 accuracy. 
 
 Fortunately, statistics of manufacture of different types are abundant. 
 While it is, of course, impossible to obtain an analysis from year to year 
 of the data for the United States as a whole, it seems feasible to make a 
 fairly close estimate of the value of the total output of the factories of the 
 nation for each year since 1909. 
 
 § 5b. The Gross Value of the Products 
 
 The distinction between the gross value of the output and the net value 
 product of the manufacturing industry is both theoretically sharp and 
 practically important. The gross value consists merely of the summation 
 of the values of the respective outputs of all the different factories. This 
 evidently includes a great amount of duplication, for one factory ordi- 
 narily works on the materials turned out by another plant. The net value 
 product, on the other hand, is the added value resulting from the services 
 of persons and material things employed in the manufacturing industry. 
 
 The plan adopted for estimating the gross annual value of the output is 
 as follows: — 
 
 1. Forty-four indicators have been selected, each believed to represent 
 fairly well the course of production in some particular branch of the man- 
 ufacturing industry. Except in two cases, only those indicators have been 
 used for which annual figures are available for each year from 1909 to 
 
 1 Compare with the Census of Manufactures for 1900, Volume 7, Part I, page xxxvii. 
 - The hand trades arc included in the general field of manufacturing but are not enu- 
 merated by the Census. 
 
 78
 
 FACTORY PRODUCTION" 79 
 
 1918 inclusive. In these two instances, adjustments have been made for 
 the years for which informal ion is lacking. 
 
 2. Every indicator has been reduced to the form of an index number 
 based upon the output for 1909. 
 
 3. Each index number has been multiplied by a weight representing 
 the value of the output in 1914 in the field which the indicator represents. 
 By summating the products and dividing by the sum of the weights, an 
 average index number has been obtained for cadi year. These average 
 index numbers presumably portray with reasonable accuracy the changes 
 in production taking place from year to year in the manufacturing field. 
 
 While the indicators chosen seem to give a correct picture of the cyclical 
 fluctuations in manufacturing, their trend diverges slightly from that indi- 
 cated by the Censuses of 1909, 1914, and 1919 — in other words, the rate of 
 growth of the manufacturing industry of the country as a whole seem- to 
 be a trifle greater than the rate of growth of the -ample industries chosen. 
 While the divergence is so small as to be relatively unimportant, the accu- 
 racy can presumably be improved by making the trend conform to that 
 indicated by the Census figures. This aim has been accomplished in the 
 following manner: — 
 
 The respective ratios of the Census figures to the estimated indices have 
 been ascertained for 1909, 1914, and 1919, and these ratio- have been con- 
 sidered the determining points of a smooth curve. A ratio has been read 
 from this smooth curve for each year from 1909 to 1918. The estimated 
 average 1 indices for the various years have been multiplied by the corre- 
 sponding ratios, and the products thus obtained are believed to represent 
 close approximations to the gross values, on the Census basis, of manu- 
 factured products turned out for the various years. The operations 
 described are indicated in Table 5B. 
 
 In the computation of the average index of output mentioned in para- 
 graph 3, the indicators listed in Table 5A were used with the weights there 
 stated. The general source of the information is cited in each case. 
 
 In some instances, the quantity rather than the value of the product is 
 given in the report cited. In such cases, the quantity has been multiplied 
 by the best obtainable price figure for the same year, and the product thus 
 derived has been used to represent the fluctuations in the average value of 
 the gross output. The citations in Table 5A -how the origin of both price 
 and quantity data when both are used. Volume and page references have 
 not been given because it seems unnecessary to burden this report with such 
 a mass of detail. 
 
 Each field of manufacture has been weighted in proportion to the gross 
 "Value of Products" as shown in the Abstract of the Census of Manufac- 
 tures for 1914. This general weight has been apportioned among the
 
 80 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 5A 
 
 THE SOURCES OF INFORMATION, THE INDICATORS USED, AND THE 
 WEIGHTS ASSIGNED IN COMPUTING AN AVERAGE INDEX OF GROSS 
 OUTPUT 
 
 Source of Information 
 
 Food and Kindred Products. 
 
 Yearbook of U. S. Department of 
 Agriculture. 
 
 Chase, Stephen, Production of Meat 
 in U. S.; Food Administration, 
 Bureau of Animal Industry Re- 
 ports; Yearbooks of Department 
 of Agriculture; and Statistical Ab- 
 stract of U. S. 
 
 Statistical Abstract of U. S. 
 
 Statistical Abstract of U. S. 
 
 Statistical Abstract of U. S. 
 
 Statistical Abstract of U. S. 
 
 Statistical Abstract of U. S. and 
 Yearbook of Dept. of Agriculture. 
 
 Textiles and their Products. 
 Statistical Abstract of U. S. 
 
 Statistical Abstract of U. S. 
 
 Statistical Abstract of U. S. and Bul- 
 letin 200, U. S. Bureau of Labor. 
 
 Massachusetts Statistics of Manu- 
 factures. 
 
 Massachusetts Statistics of Manu- 
 factures. 
 
 Iron and Steel and their Products. 
 Statistical Report of American Iron 
 & Steel Institute. 
 
 Lumber and ns Remanupactures. 
 
 U. S. Census, Statistical Abstract of 
 U. S.; Bulletins 673 and 768 of 
 Department of Agriculture. 
 
 U. S. Census 
 
 Massachusetts Statistics of Manufac- 
 tures. 
 
 Weight 
 
 G75 
 
 1,293 
 
 770 
 
 193 
 
 48 
 
 1,639 
 
 289 
 
 444 
 1,434 
 
 649 
 
 444 
 
 444 
 3,223 
 
 1,184 
 256 
 
 160 
 
 Indicator 
 
 VALUE OF 
 
 Animal Products. 
 
 Meat Produced. 
 
 Sugar Consumed. 
 
 Coffee Consumed. 
 
 Crude Chocolate Imported. 
 
 Wheat Retained for Consumption. 
 
 Butter Receipts at five large cities. 
 
 Unmanufactured Silk Imported. 
 Cotton Manufactures. 
 
 Woolen Manufactures. 
 
 Men's Clothing Manufactured in 
 Massachusetts. 
 
 Women's Clothing Manufactured 
 in Massachusetts. 
 
 Pig Iron Consumed plus Crude 
 Steel and Finished Rolled Prod- 
 ucts produced. 
 
 Lumber Product of All Mills- 
 Lumber not Used in Building. 
 
 Furniture Produced in Massachu- 
 setts.
 
 FACTORY PRODUCTION* 
 
 81 
 
 TABLE 5A— Continued 
 
 Source of Information 
 
 Weight 
 
 Indicator 
 
 Leather and its Finished Products. 
 Massachusetts Statistics of Manu- 
 factures. 
 
 ."u.-, 
 
 VALUE OF 
 Boots and Shoes Produced in Mass. 
 
 Massachusetts Statistics of Manu- 
 factures. 
 
 Massachusetts Statistics of Manu- 
 factures. 
 
 298 
 155 
 
 Leather Produced in Massachu- 
 setts. 
 
 Cut Stock and Findings Produced 
 in Mass. 
 
 Massachusetts Statistics of Manu- 
 factures. 
 
 77 
 
 Bolting Leather Produced in Mas- 
 sachusetts. 
 
 Paper and Printing. 
 
 Mass. Statistics of Manufactures. 
 
 99 
 
 Paper Boxes Produced. 
 
 Mass. Statistics of Manufactures. 
 
 15 
 
 Envelopes Produced. 
 
 Mass. Statistics of Manufactures. 
 
 204 
 
 Paper and Wood Pulp. 
 
 Mass. Statistics of Manufactures. 
 
 44 
 
 Miscellaneous Paper Goods. 
 
 Mass. Statistics of Manufactures. 
 
 525 
 
 Newspaper and Periodical Publish- 
 ing. 
 
 Annual Report of South Carolina 
 Commissioner of Agriculture; 
 Commerce & Industries. 
 
 146 
 
 Printing & Publishing. 
 
 Bulletin 758, Department of Agri- 
 culture; U. S. Census Bulletins on 
 Forest Products; Statistical Ab- 
 stract of U. S. 
 
 423 
 
 Pulp W'ood Consumption of U. S. 
 
 Liquors and Beverages. 
 Statistical Abstract of U. S. 
 
 23 
 
 Domestic Wine Consumed. 
 
 Statistical Abstract of U. S. 
 
 509 
 
 Fermented Liquors Produced. 
 
 Statistical Abstract of U. S. 
 
 124 
 
 Whiskey Produced. 
 
 Statistical Abstract of U. S. 
 
 116 
 
 ( Jommercial Alcohol Produced. 
 
 Chemicals, Stove, Clay, and Glass. 
 Statistical Abstract of U. S. 
 
 1,778 
 
 Mineral Products other than Coal 
 and Metals. 
 
 Statistical Abstract of U. S. 
 
 262 
 
 Alcohol Produced. 
 
 Statistical Abstract of U. S. 
 
 157 
 
 Sulphuric Acid Produced. 
 
 Statistical Abstract of U. S. 
 
 261 
 
 Cottonseed Oil and Cake Produced. 
 
 Moody's Analyses of Investments, 
 1919. 
 
 157 
 
 Gross Revenues, Dupont Pou 'ei 
 Company.
 
 82 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 5A— Continued 
 
 Source of Information 
 
 Weight 
 
 Indicator 
 
 Metals Other tfian Iron. 
 Statistical Abstract of U. S. 
 
 1,417 
 
 VALUE OF 
 Metallic Products other than Pig 
 Iron. 
 
 Tobacco Manufactures. 
 
 Statistical Abstract of U. S. and Year- 
 book, Dept. of Agriculture. 
 
 490 
 
 Estimated Value of Tobacco Man- 
 ufactures. 
 
 Vehicles for Land Transportation. 
 National Auto. Chamber of Com- 
 merce, — Facts & Figures of the 
 Automobile Industry Manual of 
 Statistics, 1918. 
 
 23S 
 
 Gross Earnings American Car & 
 Foundry Company. 
 
 Poor's Manual of Industrials; 
 Moody's Analyses of Investments. 
 
 10 
 
 Gross Sales, Brill & Company. 
 
 Railroad Repair Shops. 
 
 Interstate Commerce Commission. 
 Statistics of Railways. 
 
 55.3 
 
 Total Maintenance of Railroad 
 Equipment. 
 
 Private Shipbuilding. 
 
 Mass. Statistics of Manufactures. 
 
 186 
 
 Shipbuilding in Massachusetts. 
 
 Paving Materials. 
 
 Geological Survey — Mineral Re- 
 sources of U. S. 
 
 36 
 
 Asnhalt Produced in the U. S. 
 
 various indicators in accordance with the share of the total industry that 
 appears to be best typified by the indicator in question. Thus, the manu- 
 facturing of "Food and Kindred Products" is given a weight of 4,817 
 because products of that type in the United States in 1914 were valued at 
 that many millions of dollars. This entire weight is divided among seven 
 indicators. Although the seven indicators combined manifestly represent 
 directly but a fraction of the food manufacturing field, the sum of their 
 weights is, nevertheless, made to total 4,817, so that each of the great 
 divisions of manufacturing may be represented in proportion to its impor- 
 tance in making up the average index. 
 
 There is ground for contending that the weighting should be based upon 
 the "Value Added by Manufacture" rather than upon the "Value of 
 Products." Since, however, the available indicators nearly all represent 
 the gross value of output, and since an index of gross output is the end in 
 view, it has been decided to use this gross value as a basis of weighting. 
 Obviously, no two investigators would choose weights according to exactly 
 the same standard but, as Bowley demonstrates in his Elements of Statistics, 
 when the number of variables to be averaged is rather large, the exact size
 
 FACTORY PRODUCTION 
 
 83 
 
 of the weights is a matter of secondary importance. It seems probable, 
 therefore, that the weights chosen answer the purpose sufficiently well. 
 
 Evidently many of the criteria used measure the output of the manu- 
 facturing industry only indirectly. For example, the value of meat pro- 
 duced is used to measure the magnitude of the slaughtering and meat 
 packing industry; the amount of coffee imported indicates the extent of 
 coffee roasting and grinding; and the imports of raw silks give an index 
 of the activity of the silk factories. It is doubtful if direct records of meal 
 packing, coffee grinding, and silk weaving would give much more repre- 
 sentative indices of the value of the output. Their superiority would pre- 
 sumably be but slight at best. 
 
 The final steps in the computation of the index of gross output for the 
 Continental United States are shown in Table 5B. 
 
 TABLE 5B 
 
 THE ESTIMATED GROSS VALUE OF THE GOODS TURNED OUT BY 
 FACTORIES COVERED BY THE PRINCIPAL REPORT OF THE CENSUS 
 OF 1914 
 
 For the Continental United States 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 Date 
 
 Indices of 
 annual output 
 computed 
 from forty- 
 four indica- 
 tors d 
 
 Value of gross 
 output as 
 shown by 
 the census 
 (Millions) 
 
 Ratio of 
 
 census output 
 
 to estimated 
 
 index of 
 
 output 
 
 C 4- B 
 
 Estimated 
 
 ratio of 
 
 actual output 
 
 to indices of 
 
 output 
 (Hundreds) 
 
 Estimated 
 value of gross 
 
 output 
 (Millions) 
 
 B XE 
 
 1909 .... 
 
 1910 
 
 1911 
 
 1912 
 
 1913. . .. 
 
 1914 
 
 1915. . .. 
 1916. ... 
 1917. ... 
 
 1918. . .. 
 
 1919. . .. 
 
 100.0 
 105 . 
 102.5 
 115.2 
 123.2 
 
 115.0 
 133.7 
 
 202.8 
 261.7 
 284.2 
 278.1 
 
 $20,6726 
 
 24,2466 
 
 62,588 « 
 
 206,721 
 
 210,830 
 225,100 
 
 2067 c 
 2072 a 
 2078 a 
 
 2088 a 
 2095 a 
 
 2108 c 
 2126" 
 2149a 
 2181a 
 22 1 7 a 
 2251c 
 
 §20,672 6 
 21,770 
 21,300 
 21.050 
 25,810 
 
 24,246 6 
 
 28,430 
 
 43,580 
 
 57,080 
 
 63,000 
 
 62.5XN' 
 
 a Interpolated along a smooth curve. 
 
 6 Abstract of United Stales Census of Manufactures, 1914, p. 16. 
 
 c See Column D. 
 
 d For list of indicators, see Table 5A. 
 
 e Preliminary bulletin of Census of Manufactures for 1919, May 24, 1921. 
 
 The representative character of the average index computed from the 
 forty-four indicators is reasonably well established by the entries in Col- 
 umn D, which show that the ratios of the Census totals to the index are 
 nearly the same in 1909 and 1914 and not greatly different in 1919. If
 
 84 THE ESTIMATE BY SOURCES OF PRODUCTIOK 
 
 they were fairly reliable criteria for that ten-year period, there is every 
 reason to suppose? that they are equally dependable for the intervening 
 years. It seems safe to assume, therefore, that the figures presented in 
 Column F show rather accurately for each year the gross value of the out- 
 put of that part of the manufacturing industry of the United States covered 
 by the quinquennial Census. 
 
 § 5c. The Division of the Net Value Product in the Census Years 
 
 Since, for reasons previously stated, the size of the gross output does 
 not measure accurately the productiveness of the manufacturing industry 
 itself, this last quantity must be arrived at by ascertaining the increase in 
 value brought about by the operations of manufacture. This increase in 
 value is eventually divided among the entrepreneurs, employees, and 
 outside investors in the industry. 
 
 From the Census, it seems possible to estimate, with a moderate degree 
 of accuracy, the shares of each of the classes just mentioned. The share 
 of the entrepreneurs is assumed to equal the value of the gross product less 
 all expenses and an allowance for depreciation. The Census Bureau has 
 made no estimates of the depreciation occurring in the factories of the 
 country. Some writers contend that a depreciation allowance has no 
 basis of fact; in other words, that it is a mere bookkeeping device used to 
 conceal accumulated profits. According to this point of view, manufactur- 
 ing plants do not depreciate but, as a rule, continually improve in quality, 
 owing to the replacement of obsolete machinery by modern equipment, 
 and hence, not only should there be no depreciation account, but large sums 
 that have been charged to repairs ought to have been carried to surplus. 
 Opponents of this view may admit the physical improvement of the plant 
 but nevertheless believe that depreciation accounts are necessary to cover 
 the large losses which occur through bad investments. 
 
 A little consideration will force one to the conclusion that this issue 
 resolves itself into the question as to whether surplus accounts as reported 
 are too large or too small. Since manufacturing concerns usually make 
 depreciation allowances in their accounts before computing their annual 
 surpluses, and since the surpluses arrived at by their accounting systems 
 seem, on the average, to be correctly reported, 1 it follows that correspond- 
 ing depreciation allowances should be applied to the Census figures in 
 order to obtain the correct amounts for profits. 
 
 In order to obtain a reasonable basis for estimating depreciation, the 
 allowances for this purpose made by a large number of manufacturing 
 corporations (as reported in Moody's Manual) were summated for 1914, 
 and the sums were compared with the aggregate total nominal investment 
 
 1 For discussion of this point see § lg of this volume.
 
 FACTORY PRODUCTION 
 
 85 
 
 in the selected concerns. The depreciation allowance amounted in 1914 to 
 2.927 per cent. A separate estimate for 1909 was not calculated for the 
 
 TABLE 5C 
 
 THE APPROXIMATE DISTRIBUTION OF THE VALUE PRODUCT OF THAT 
 PART OF THE MANUFACTURING INDUSTRY INCLUDED BY THE 
 CENSUS BUREAU IN THE TOTALS FOR 190'.) AND 1914 
 
 
 Millions of dollars 
 
 Item 
 
 Census of 
 
 
 1909 
 
 1914 
 
 Value of Gross Output 
 
 $20,672" 
 
 $ 939 « 
 
 3,427 a 
 
 52 ^ 
 
 12,143a 
 
 1,946 a 
 
 539 c 
 
 $24,246 & 
 
 $ 1,288 b 
 4,078^ 
 
 Expenses: 
 Services: 
 
 Salaries 
 
 Wages 
 
 Interest Paid to Banks 
 
 47/, 
 
 Materials 
 
 14,368* 
 
 2,344/ 
 
 Miscellaneous 
 
 Depreciation 
 
 667 d 
 
 
 
 Share of Entrepreneurs and Interest on 
 Funded Debt 
 
 19,046 
 $ 1,626 
 
 22,792 
 $ 1,454 
 
 
 
 Distribution of Value of Product: 
 Share of Employees: 
 
 Wages and Salaries 
 
 $4,366* 
 
 44 a 
 
 $4,410 
 
 1,626 
 107 9 
 
 106 i 
 
 $5,366 * 
 
 Payments to Workers for Contract 
 Work e 
 
 50 b 
 
 Total Share of Employees. 
 
 $5,416 
 
 1,454 
 
 140'' 
 
 Share of Entrepreneurs and Other In- 
 vestors: 
 
 Gross Profits and Bond Interest 
 
 Rent of Factories 
 
 Other Rent and Royalties 
 
 141 > 
 
 
 
 Total 
 
 1,839 
 $ 6,249 
 
 1,735 
 
 
 
 Total Value Product of Manufacturing 
 Industry 
 
 $ 7,151 
 
 a Abstract of the U. S. Census for 1910, p. 438. 
 
 b Abstract of the U. S. Census of Manufactures, 1914, pp. 516-519. 
 
 e 2.927 per cent of the capital of $18,428,270,000. 
 
 d 2.927 per cent of the capital of 822,790,979,937. 
 
 e One-fourth of amount paid for contract work. 
 
 /Includes $1,563,000,000 estimated "Other Miscellaneous" expenses not recorded 
 by the Census of 1914. Missing item assumed to constitute same ratio to other ex- 
 penses as in 1909, namely 7.03 per cent; total expenses reported by 1914 Census equal 
 $20,515,000,000. 
 
 a U. S. Census of Manufactures for 1910, Vol. VIII. pp. 518 Y20. 
 
 '' Estimated from a study of the reports (recorded in Moody's Manual) of sixty-one 
 representat ive manufacturing corporations. 
 
 * Arbitrarily assumed thai other rents and royalties paid to private parties are just 
 as large as the reported rent of factories.
 
 86 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 reason that it was felt that, at that date, the custom of reporting depreci- 
 ation in the published accounts had not developed sufficiently to make the 
 data reliable. For this reason, the same percentage was used for 1909 as 
 for 1914, and in each case, 2.927 per cent of the total capitalization, as 
 reported by the Census, has been deducted from gross receipts as a depre- 
 ciation allowance. 
 
 It is evident that the entries in Table 5C are not exact but are subject 
 to a considerable degree of error. The depreciation allowance, as has 
 already been explained, is only an approximation. The assumption that 
 25 per cent of the payments for contract work are virtually wages has been 
 made after going through the list of industries given in the 1914 Census 
 and selecting those like the clothing industry in which the payments are 
 presumably made for work done at home by members of the working class. 
 Such a rough method of estimate is perhaps amply good when one con- 
 siders the relatively small size of the items involved. Nevertheless, an 
 appreciable amount of error is likely to creep in at this point. 
 
 The items for rent and royalties are included in the items making up 
 the value product ascribed to the industry on the assumption that these 
 payments are made to property owners not represented in any other sec- 
 tion of this estimate. It has been assumed, for example, that few of the 
 buildings leased for factory purposes are owned by other manufacturing 
 concerns. Concrete evidence along this line is lacking; hence, guesses are 
 substituted. The size of the item entitled "Other Rents and Royalties" 
 in 1914, is also unknown and the figure inserted may be far from the truth. 
 The doubtful items just discussed are not large enough to make any con- 
 siderable relative change in the product, even if the errors in these minor 
 items are a maximum and all in the same direction. Such errors might, 
 however, vitiate to some extent the accuracy of the figures purporting to 
 show the divisions of the net product between employees and other claim- 
 ants. As a matter of fact, the errors probably cancel each other to some 
 extent; hence, it is hoped that, for the Census years, the apportionment 
 of the value product between employees and the other claimants thereto 
 is exact enough to answer the needs of most students of the subject. Cen- 
 sus figures exist, however, only for three years in the period. What changes 
 took place between those dates? 
 
 § 5d. Mode of Estimating the Net Value Product for Intercensal Years 
 
 Data upon which one can base estimates as to the changes occurring 
 from year to year in the apportionment of the value product between the 
 different classes of claimants are by no means abundant. Iowa issues 
 statistics concerning its manufacturing industries, but only biennially. 
 Since that State is devoted primarily to agriculture and only incidentally
 
 FACTORY PRODUCTION 87 
 
 to manufacturing, and since half the years are missing, its reports have 
 not been utilized. South Carolina and Pennsylvania publish annual 
 reports. In both of these States, a considerable share of the smaller estab- 
 lishments apparently did not report hi the earlier years. Nevertheless, 
 the data from these States are valuable, since South Carolina well repre- 
 sents the extensive textile business of the South, while Pennsylvania stands 
 for the iron and steel industry, the products of which played such an 
 important part in the recent war. It is Massachusetts, however, which 
 furnishes the most complete and probably the most accurate statistics 
 of manufactures compiled by any State in the Union. Unfortunately, 
 its manufactures, while extremely varied, consist to a disproportionate 
 degree of shoes and textiles, the latter being already represented by the 
 South Carolina data. In order, therefore, to secure the maximum advan- 
 tage from the existence of such a useful body of data, it was deemed best 
 to re-weight the Massachusetts figures in a manner which makes the dif- 
 ferent industries for that State have the same relative rank as the like indus- 
 tries in the nation as a whole. The actual process used is as follows: — 
 
 Those Massachusetts industries have been chosen which best repre- 
 sent the given field of production. All the items in the data for the speci- 
 fied Massachusetts industry have been multiplied by the ratio of the 1914 
 value of the output in the United States to the value of the output in the 
 chosen Massachusetts industry in the same year. The sums of the result- 
 ing products are thus made comparable in size to the corresponding aggre- 
 gates for the country as a whole. The totals obtained in this way from the 
 Massachusetts data show the relative changes that would have occurred 
 from year to year in the gross value of output, in the stock of materials 
 used, and in the amount of wages paid during the year, if each of these 
 items in each of the great fields of the manufacturing industry in the 
 United States as a whole had changed at the same rate as did the corre- 
 sponding fields in Massachusetts. 
 
 Owing to the less detailed nature of the information from Pennsylvania 
 and South Carolina, it was not deemed worth while to re-weight the figures 
 for those states in the same manner. For the reasons just stated, in those 
 instances in which the figures for the three States have been combined, th<> 
 Massachusetts figures have been weighted somewhat more heavily thai 
 the relative size of its manufacturing industries would apparently warrant. 
 In this manner, indices and ratios have been derived which have been used 
 as a basis for estimating figures for intercensal years. 
 
 § 5e. The Share of the Employees 
 
 In attempting to estimate the amount paid to employees in the form of 
 salaries and wages the assumption has been made that variations in the
 
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 FACTORY PRODUCTION 
 
 S'.l 
 
 ratio of wage payments to gross value of output are satisfactory as criteria 
 to be used in interpolation. Only preliminary figures for the 1919 Census 
 are as yet available. When this Census is complete, it will be possible to 
 secure a slightly higher degree of accuracy in all estimates after 1914, but 
 it is believed that the present indices for these last few years are approxi- 
 mately correct. The procedure is recorded in Table 5D. 
 
 Work done at home under the contract system, a procedure frequently 
 followed in the clothing industry for example, is often akin to piece work 
 in a factory. The contractors in such instances, furnish no property of 
 moment and are virtually wage earners. As previously stated, the basic 
 estimates as to the extent of such work are very crude. Table 5E is con- 
 structed on the principle that contract work has formed a very slowly 
 but steadily varying ratio to payments for wages and salaries. Since the 
 amounts dealt with are relatively very small, errors in the results are of 
 little consequence. 
 
 TABLE 5E 
 
 AN ESTIMATE OF THE TOTAL SHARE OF THE EMPLOYEES IX THE NET 
 VALUE PRODUCT OF THAT PART OF THE MANUFACTURING FIELD 
 COVERED BY THE CENSUS OF 1914 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 Year 
 
 Estimated 
 total of wages 
 
 and salaries" 
 (Millions) 
 
 Estimated 
 
 payments for 
 
 labor done 
 
 under contract 
 
 (Millions) 
 
 (One-fourth 
 
 of census 
 
 items) 
 
 Estimated ratio 
 
 of all payments 
 
 for labor to sum 
 
 of wages and 
 
 salaries 
 
 B + C 
 
 B 
 
 Estimated sum 
 
 of all payments 
 
 for labor 
 
 (Millions) 
 
 B X D 
 
 1909 
 
 $ 4,366 
 4,790 
 4,805 
 5,310 
 5,890 
 
 5,306 
 
 5,892 
 
 8,442 
 
 10,530 
 
 12,410 
 
 13,273 
 
 $44.76 
 49.7 c 
 
 1.0102d 
 
 1.0100c 
 1.00! 17 < 
 1.0096c 
 1.0095c 
 
 1.0093 d 
 
 1.0090c 
 
 1.0089< 
 1 0086 ' 
 1 ,0085« 
 I. 0083 < 
 
 $ 4,410 
 
 1910 
 
 1911 
 
 1,838 
 4,852 
 
 1912. . 
 
 5,361 
 
 1913. . 
 
 5,946 
 
 1914 
 
 5,416 
 
 L915 
 
 5,945 
 
 1916. . 
 
 8,517 
 
 1917. 
 
 10.621 
 
 1919 
 
 12,515 
 13,383 
 
 
 
 
 a See Table 51). 
 
 b U. S. Census of Manufactures, 1910, Vol. VIII, pp. 518-519. 
 
 c Abstract of the Census of Manufactures, 1914, pp. 516-517. 
 
 <l Computed. 
 
 c Interpolated along a curve.
 
 90 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 A complete estimate would include in Table 5E payments made to 
 employees as pensions or as damages for injuries suffered. However, no 
 information is at hand concerning these amounts, and, since they are not 
 large enough to be of serious moment, no adjustments have been made for 
 these missing quantities. 
 
 In order to estimate the average amount of money received by an em- 
 ployee as wages or salaries during each year, it is necessary first to calcu- 
 late the number of employees attached to the industry. The estimates of 
 this number have been made in accordance with the principles laid down 
 in Sec. 2d. Tables 5F and 5G set forth the conclusions derived. 
 
 TABLE 5F 
 
 THE ESTIMATED NUMBER OF EMPLOYEES ENGAGED IN THAT PART 
 OF THE MANUFACTURING FIELD INCLUDED IN THE PRINCIPAL 
 TABLES OF THE 1914 CENSUS 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 Calen- 
 dar 
 
 Number em- 
 ployed as 
 shown by 
 
 Index of 
 
 number 
 
 employed in 
 
 factories of 
 
 Ratio of 
 B toC 
 
 Estimated 
 number ac- 
 tually at 
 work 
 
 Estimated 
 
 fract ion of 
 
 employees 
 
 attached tc 
 
 industry 
 
 Estimated 
 
 number of 
 
 employees 
 
 attached to 
 
 year 
 
 
 
 
 (Thousands) 
 
 CXD 
 
 industry 
 
 
 census 
 
 various 
 states b 
 
 
 actually 
 at work e 
 
 (Thousands) 
 E -4- F 
 
 1909 . . . 
 
 7,405,313 a 
 
 969 
 
 7,642 c 
 
 7,405 
 
 .958 
 
 7,730 
 
 1910. . . 
 
 
 955 
 
 7,717d 
 
 7,370 
 
 .944 
 
 7,810 
 
 1911. . . 
 
 
 964 
 
 7,780 a- 
 
 7,500 
 
 .941 
 
 7,970 
 
 1912. . . 
 
 
 1,009 
 
 7,859 d 
 
 7,930 
 
 .968 
 
 8,190 
 
 1913. . . 
 
 
 1,007 
 
 7,944 d 
 
 8,000 
 
 .949 
 
 8,430 
 
 1914. . . 
 
 8,000,554 a 
 
 1,000 
 
 8,001 e 
 
 8,001 
 
 .910 
 
 8,790 
 
 1915. . . 
 
 
 982 
 
 8,139 d 
 
 7,993 
 
 .878 
 
 9,102 
 
 1916. . . 
 
 
 1,140 
 
 8,296 d 
 
 9,457 
 
 .969 
 
 9,757 
 
 1917. . . 
 
 
 1,203 
 
 8,429 a" 
 
 10,140 
 
 .975 
 
 10,395 
 
 1918. . . 
 
 
 1,220 
 
 8,590-/ 
 
 10,480 
 
 . 961 
 
 10,905 
 
 1919. . . 
 
 10,374,000/ 
 
 1,188 
 
 8,732 c 
 
 10,374 
 
 . 934 
 
 11,017 
 
 a Abstract of Census of Manufactures, 1914, p. 428. 
 
 b Estimates for Massachusetts, South Carolina, New York, Pennsylvania, and 
 Wisconsin for years after 1914. For years 1909 to 1912, only Massachusetts and South 
 Carolina furnished reports. 
 
 c Computed by division. 
 
 d Interpolated along a smooth curve. 
 
 « See Section 2d for method of estimate. 
 
 / Preliminary estimate by Mr. E. F. Hartley, Statistician for the U. S. Census of 
 Manufactures. 
 
 From Table 5G, it appears that the economic welfare of the employees 
 in this line of production has improved quite decidedly since 1914. It is also 
 a fact of interest that the average number of employees increased rather 
 rapidly between 1915 and 1918.
 
 FACTORY PRODUCTION 
 
 91 
 
 TABLE 5G 
 
 THE ESTIMATED AVERAGE COMPENSATION RECEIVED BY THE EM 
 PLOYEES ATTACHED TO THAT PART OF THE MANUFACTURING 
 FIELD INCLUDED IN THE PRINCIPAL TABLES OF THE 1914 CENSUS 
 
 Calen- 
 dar 
 year 
 
 1909 
 1910 
 1911 
 1912 
 
 1913 
 1914 
 1915 
 1916 
 
 1917 
 1918 
 
 B 
 
 Total compen- 
 sation for 
 
 labor" 
 (Millions) 
 
 5 4,410 
 4,838 
 l.s.YJ 
 5,361 
 
 5,946 
 5,416 
 5,945 
 8,517 
 
 10,621 
 12,515 
 
 Estimated 
 
 number of 
 employees at- 
 tached to 
 industry b 
 
 (Thousands) 
 
 7,730 
 
 7.S10 
 7.970 
 8,190 
 
 8,430 
 S.790 
 9,102 
 9,757 
 
 10,395 
 10,905 
 
 D 
 
 Average annual 
 compensation 
 
 per employee 
 B -f- C 
 
 > 571 
 (320 
 609 
 
 655 
 
 71 15 
 616 
 
 (353 
 873 
 
 1,022 
 
 1,148 
 
 E 
 
 Index of prices 
 of goods con- 
 sumed by 
 manual and 
 clerical 
 workers c 
 
 Purchasing 
 I lower of aver- 
 age annual 
 compensation 
 at prices of 1913 
 D ~ E 
 
 .955 
 
 978 
 
 .984 
 
 .994 
 
 1.00 
 1.01 
 1.03 
 1.10 
 
 1.29 
 
 1 58 
 
 $597 
 634 
 
 619 
 659 
 
 705 
 610 
 634 
 794 
 
 792 
 726 
 
 a See Table 5E. 
 b See Table 5F. 
 e See Table 2C. 
 
 § 5f. The Share of the Entrepreneurs and Other Property Owners 
 
 The first item dealt with in the share of the propertied classes is the rela- 
 tively unimportant one of rents and royalties paid to private parties for 
 leased property. The assumption that the net amounts were two-thirds ' 
 of the totals reported by the Census as being paid for the rent of factories 
 gives an estimate for 1909 of $71,050,000, and for 1914 of 893,800,000. It 
 seems reasonable that rents and royalties should vary in proportion to 
 the number of employees and the general rent level. Xo figures for business 
 rents are available; hence, it has been necessary to fall back on the index 
 of residence rents compiled by the United States Bureau of Labor Statistics. 
 Since it was a period of nearly stationary prices, it is assumed that rents 
 remained unchanged from 1909 to 1913. 
 
 Table 5H shows the rough estimates of rent paid arrived at by the appli- 
 cation of these decidedly tenuous assumptions. 
 
 It is much more difficult to estimate correctly the share of the net value 
 product going to the entrepreneurs and investors than it is to find the 
 amount going to labor. Table 5C indicates thai it' we include business 
 savings as part of the income of the entrepreneurs that they and the bond- 
 
 1 Assumed that one-third of the gross rent goes to pay for taxes, repairs, and maintenai
 
 92 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 5H 
 
 A ROUGH ESTIMATE OF THE PAYMENTS MADE TO PRIVATE INDIVID- 
 UALS IN THE FORM OF RENTS AND ROYALTIES BY THE MANUFAC- 
 TURING INDUSTRIES COVERED BY THE MAIN REPORT OF THE 
 
 CENSUS OF 1914 
 
 (For the Continental United States) 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 
 
 
 
 
 
 Estimated 
 
 
 Rent, paid to 
 
 Thousands 
 
 
 
 
 total rents 
 
 
 individuals 
 
 of 
 
 Index of 
 
 Composite 
 
 Ratio of 
 B toE 
 
 and royal- 
 
 Year 
 
 for the use 
 
 employees 
 
 residence 
 
 index 
 
 ties paid 
 
 
 of factories 
 
 attached to 
 
 rents 
 
 C X D 
 
 (Millions) 
 
 
 (Thousands) 
 
 industry c 
 
 
 
 
 E X F 
 1,000 
 
 1909 
 
 $71,050« 
 
 7,730 
 
 l.OOrf 
 
 7,730 
 
 9.18/ 
 
 $ 71 
 
 1910 
 
 
 7,810 
 
 1 . 00 d 
 
 7,810 
 
 9.48(7 
 
 74 
 
 1911 
 
 
 7,970 
 
 1.00'/ 
 
 7,970 
 
 9.79(7 
 
 78 
 
 1912 
 
 
 8,190 
 
 1 . 00 d 
 
 8,190 
 
 9.89<7 
 
 81 
 
 1913 
 
 
 8,430 
 
 1 . 00 ■ 
 
 8,430 
 
 10.44(7 
 
 88 
 
 1914 
 
 93,8006 
 
 8,790 
 
 1.00<= 
 
 8,790 
 
 10.69/ 
 
 94 
 
 1915 
 
 
 9,102 
 
 l.Ole 
 
 9,193 
 
 10.66(7 
 
 98 
 
 1916 
 
 
 9,757 
 
 1.02« 
 
 9,952 
 
 11.05o 
 
 110 
 
 1917 
 
 
 10,395 
 
 l.Ole 
 
 10,499 
 
 11.33ff 
 
 119 
 
 1918 
 
 
 10,905 
 
 1 . 05 • 
 
 11,450 
 
 11.969 
 
 137 . 
 
 a U. S. Census of Manufactures for 1910, Vol. VIII, p. 129; estimated that two-thirds 
 of rent was paid to individuals. 
 
 b Abstract of Census of Manufactures of V. S. in 1914, p. 517; estimated that two- 
 thirds of rent was paid to individuals. 
 
 c See Table 5F. 
 
 d No data; therefore assumed. 
 
 e U. S. Bureau of Labor Statistics, Monthly Labor Review, various numbers in 1920- 
 1921. 
 
 / Computed by division. 
 
 a Interpolated along a straight line. 
 
 holders together received $1,626,000,000 in 1909 and $1,454,000,000, in 
 1914. In 1918, the first year in which the Income Tax Bureau presents for 
 manufacturing corporations figures answering our needs, these corporations 
 showed, after paying taxes, net earnings of $2,422,074,926. If we estimate 
 the interest on the funded debt as being 80 per cent of all interest paid, it 
 constitutes an addition of about $430,500,000, making a total of approx- 
 imately $2,852,575,000.' By means of a smooth curve based upon the 
 fractions for 1904, 1909, and 1914, it is estimated that, in 1918, corpora- 
 tions produced 84.7 per cent of all value added by the factories in this field. 
 If we divide by 0.847, we arrive at a figure of about $3,366,000,000, as 
 representing the share going in 1918 to both private and corporate entre- 
 
 i U. S. Bureau of Internal Revenue Statistics of Income, 1918, p. 16,
 
 FACTORY PRODUCTION 
 
 93 
 
 preneurs and to holders of the funded debt. The gross output of the fac- 
 tories, in this year, has been estimated a1 ^il.olo.OOO.OOO. 1 If this figure 
 is correct, the ratio of the share of the classes mentioned to the gross value 
 of output is about 0.0551. 
 
 TABLE 51 
 
 RETURNS TO ENTREPRENEURS AND HOLDERS OF THE FUNDED DEBT 
 IN THAT PART OF THE MANUFACTURING FIELD COVERED BY THE 
 MAIN REPORT OF THE CENSUS OF 1914 INTERPOLATED UPON THE 
 BASIS OF THE AVERAGE NET EARNINGS OF SIXTY-SIX TYPICAL 
 MANUFACTURING CORPORATIONS 
 
 (In the Continental United States) 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 Year 
 
 Returns to 
 ent repreneurs 
 
 and In (Mors 
 
 of the 
 funded debt 
 
 (Millions) 
 
 Index repre- 
 senting net 
 earnings plus 
 bond interest 
 of 66 typical 
 corporations b 
 
 Ratio of 
 
 B to (' 
 
 (Millions) 
 
 First approxima- 
 tion to the share 
 of entrepreneurs 
 and private cred- 
 itors in the value 
 
 product 
 (Millions) 
 
 C X D 
 
 1909 
 
 1910 
 
 $1,626° 
 
 1,454 a 
 
 3,366 e 
 
 100.0 
 
 118.7 
 
 90.7 
 
 117.4 
 
 132.5 
 
 106.4 
 131.2 
 253 . 9 
 
 304.9 
 228.6 
 
 16.26c 
 15.40-/ 
 14. 70^ 
 14.16d 
 13.80d 
 
 13.67c 
 13.79a 1 
 14.00 a - 
 14.43 d 
 14.72* 
 
 81.626 
 1,828 
 1,333 
 1,663 
 
 1,829 
 
 1,454 
 1,810 
 3,555 
 1,399 
 3,366 
 
 1911 
 
 1912 
 
 1913 
 
 1914 
 
 1915 
 
 1916 
 
 1917 
 
 1918 
 
 a See Table 5C. 
 
 b Computed from data in Poor's and Moody's Manuals of Statistics. Corporations 
 were classified according to size and both totals and a set of indices were obtained for 
 each group. The index series here given is composed of the respective medians for 
 the specified years of the indices for the various groups. 
 
 c Computed by division. 
 
 d Interpolated along a smooth curve. 
 
 e For origin of this figure, see text. 
 
 The difference between the items in the second and third columns of 
 Table 5J casts suspicion upon the accuracy of the Census figures. Why 
 should a group of typical corporations show from 1 1 to 13 per cent of their 
 gross output going to profits when the Census data for the same years 
 indicate only (i to 8 per cent for the same? Most of the discrepancy pre- 
 sumably arises from the fact that the gross output as reported by the ( )en- 
 sus contains much more duplication than does that reported by corpora- 
 tions. The Census is taken factory by factory, each plant stat ing the value 
 
 ' Sec Table 5B.
 
 94 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 5J 
 
 RETURNS TO ENTREPRENEURS AND HOLDERS OF THE FUNDED DEBT 
 IN THAT PART OF THE MANUFACTURING FIELD COVERED BY THE 
 TOTALS FOR THE CENSUS OF 1914 INTERPOLATED UPON THE BASIS 
 OF THE AVERAGE RATIO OF EARNINGS" TO GROSS OUTPUT IN THE 
 CASE OF 31 TYPICAL CORPORATIONS 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 
 Ratio of share of entre- 
 
 
 Estimated 
 
 
 Second ap- 
 
 
 preneurs and bond- 
 
 
 ratio of 
 
 
 proximation 
 
 
 holders to gross value 
 
 
 share of en- 
 
 
 to the share 
 
 Year 
 
 of output 
 
 Ratio of 
 
 trepreneurs 
 and bond- 
 
 Estimated 
 gross output/ 
 
 of entrepre- 
 neurs and 
 
 
 
 BtoC 
 
 
 According 
 
 As shown 
 
 holders to 
 
 (Millions) 
 
 holders of 
 
 
 to U. S. 
 
 by cor- 
 
 
 gross output 
 
 
 funded debt 
 
 
 Government 
 
 porate 
 
 
 C XD 
 
 
 (Millions) 
 
 
 figures 
 
 reports c 
 
 
 
 
 E X F 
 
 1909 
 
 .0787& 
 
 .133 
 
 .592d 
 
 .0787 
 
 $20,672 
 
 $1,626 
 
 1910 
 
 
 .145 
 
 .589" 
 
 .0854 
 
 21,770 
 
 1,859 
 
 1911 
 
 
 .121 
 
 .585e 
 
 .0708 
 
 21,300 
 
 1,507 
 
 1912 
 
 
 .135 
 
 . 567 e 
 
 .0765 
 
 24,050 
 
 1,839 
 
 1913 
 
 
 .143 
 
 .557 c 
 
 .0797 
 
 25,810 
 
 2,056 
 
 1914 
 
 .0600^ 
 
 .109 
 
 .550d 
 
 .0600 
 
 24,246 
 
 1,454 
 
 1915 
 
 
 .124 
 
 .527 * 
 
 .0654 
 
 28,430 
 
 1,860 
 
 1916 
 
 
 .182 
 
 .503' 
 
 .0916 
 
 43,580 
 
 3,994 
 
 1917 
 
 
 .162 
 
 .480<- 
 
 .0778 
 
 57,080 
 
 4,444 
 
 1918 
 
 .0534ff 
 
 .117 
 
 . 456 d 
 
 .0534 
 
 63,000 
 
 3,366 
 
 a Earnings equal total of bond interest, dividends, and amount carried to surplus. 
 
 b See Table 5C for figures from which ratios are derived. 
 
 e The ratio was computed from reports in Poor's and Moody's Manuals for each 
 corporation for each year. The median of the ratios for each year was ascertained 
 and is here recorded. 
 
 d Computed by division. 
 
 e Interpolated along a smooth curve. 
 
 / See Table 5B. 
 
 a For derivation, see text. 
 
 of its output. The large corporations of today, are highly integrated. 
 Thus, a steel company, in reporting its gross sales, does not duplicate the 
 value of the gross outputs of the iron mines, blast furnaces, etc., operated 
 as separate units. But, though the values of outputs of subsidiary plants 
 are not combined to give a grand total of output, the net earnings of all 
 the parts of a corporation may be totaled to arrive at the reported net 
 earnings. The following example may serve to illustrate the situation. 
 Holding Company A operates a series of four factories. Plant 2 uses the 
 output of Plant 1; Plant 3 takes the output of Plant 2; and Plant 4 is the 
 only one selling any final product to outsiders. 
 
 From the following table, a computation by the Census method would 
 show the ratio of profit to gross value of output to be ^V or .105.
 
 FACTORY PRODUCTION 
 
 95 
 
 Plant 
 
 Operating 
 
 expenses 
 
 Gross value 
 of output 
 
 Profits 
 
 1 
 
 9 
 11 
 14 
 
 17 
 
 10 
 12 
 16 
 19 
 
 1 
 
 2 
 
 1 
 
 :i 
 
 2 
 
 4 
 
 2 
 
 
 
 Total 
 
 51 
 
 57 
 
 6 
 
 In the report of Corporation A, however, the gross sales would be re- 
 ported as only the amount sold to outsiders from the finishing plant, No. 
 4, or 19; while the net profit would still be reckoned as 6. This would 
 give a ratio of ^ or .316, approximately three times that indicated by the 
 Census method. 
 
 There is no way of knowing whether the discrepancy between the 
 ratios derived from the Census and from corporation reports does or does 
 not arise wholly from this difference in accounting, but it is not improbable 
 that this is the chief cause for the dissimilarity of the ratios. 
 
 In Tables 51 and 5J, there are derived two distinct estimates of the share 
 in the income from manufacturing going to the entrepreneurs and holders 
 of the funded debt. An average of these two estimates, equal weight being 
 given to each, appears in Column B of Table 5K. This table also shows 
 the distribution of the share of the entrepreneurs and holders of the funded 
 debt, divided into three parts, these parts being estimated from the annual 
 reports of forty-six typical corporations. 
 
 The evidence in Table 5K indicates that, as might be expected, the 
 funded debt has consumed a relatively fixed quantity of the net earnings 
 while distributed profits and savings have varied greatly. A better pic- 
 ture of the significant facts is shown in Table 5L in which the nominal 
 amounts have been converted into purchasing power at the prices of 1913. 
 The reasons for choosing the particular price indices used for converting 
 purposes are as follows: stockholders in factories probably possess about 
 the same average income as stockholders in general, and the income tax 
 reports indicate that, in 1919, about as much in dividends went to persons 
 with income above $40,000 per annum as to all below that figure; therefore 
 the $25,000 average expenditure seems a reasonable criterion. Surpluses 
 of manufacturing concerns normally are put into new plant ; hence an 
 index of construction costs appears to be the logical correcting factor to 
 apply to business savings in this field.
 
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 98 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 Table 5L indicates that the purchasing power of the actual disburse- 
 ments to the propertied classes has shown a somewhat upward tendency 
 throughout the decade and that the savings made by the business enter- 
 prises in this field increased to very unusual proportions during the years 
 1916 to 1917 and remained moderately high even in 1918. 
 
 § 5g. The Fraction of the Net Value Product Paid Out as Wages or 
 
 Salaries 
 
 Table 5M measures the fraction of the net value product of the industry 
 going to the employees. 
 
 TABLE 5M 
 
 THE ESTIMATED NET VALUE PRODUCT AND THE SHARE THEREOF 
 
 GOING TO THE EMPLOYEES 
 
 For that Part of the Manufacturing Industry Included in the Principal Tables of the 
 
 1914 Census 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 
 Amounts 
 
 
 
 
 Per cent of 
 
 
 distributed to 
 
 
 Compensa- 
 
 Total net 
 
 net value 
 
 Calendar 
 
 entrepreneurs 
 
 Business 
 
 tion paid to 
 
 value prod- 
 
 product 
 
 year 
 
 and other 
 
 savings" 
 
 employees b 
 
 uct 
 
 going to 
 
 
 property 
 
 (Millions) 
 
 (Millions) 
 
 (Millions) 
 
 the em- 
 
 
 owners a 
 
 
 
 B + C + D 
 
 ployees 
 
 
 (Millions) 
 
 
 
 
 D + E 
 
 1909 
 
 $1,185 
 
 $ 512 
 
 $ 4,410 
 
 $ 6,107 
 
 72.2 
 71.6 
 
 1910 
 
 1,319 
 
 599 
 
 4,838 
 
 6,756 
 
 1911 
 
 1,222 
 
 276 
 
 4,852 
 
 6,350 
 
 76.4 
 
 1912. 
 
 1,309 
 
 525 
 
 5,361 
 
 7,195 
 
 74.5 
 
 1913 
 
 1,455 
 
 575 
 
 5,946 
 
 7,976 
 
 74.5 
 
 1914 
 
 1,410 
 
 137 
 
 5,416 
 
 6,964 
 
 77.8 
 
 1915 
 
 1,197 
 
 739 
 
 5,945 
 
 7,881 
 
 75.4 
 
 1916 
 
 1,567 
 
 2,320 
 
 8,517 
 
 12,403 
 
 68.7 
 
 1917 
 
 2,220 
 
 2,116 
 
 10,621 
 
 14,957 
 
 71.0 
 
 1918 
 
 2,078 
 
 1,424 
 
 12,515 
 
 16,018 
 
 78.1 
 
 a See Table 5L, Column E. 
 b See Table 5E, Column E. 
 
 The last column of Table 5M makes it clear that the employees have 
 been receiving from two-thirds to three-fourths of the net value product 
 of manufacturing. While their relative share was low in 1916 and 1917, 
 it reached a higher limit in 1918 than at any previous time in the decade. 
 
 Questions concerning changes in the efficiency of the employees cannot 
 be answered without further research. 
 
 ,
 
 CHAPTER 6 
 SIM MARY OF THE HAND TRADES 
 
 § 6a. Introduction 
 
 Prior to and including the census of 1900, the reports of the Census 
 Bureau covered the activities of "the hand trades." Since that date, the 
 study of industries of this type has been omitted because of the large 
 expense per establishment involved in the collection of data. A< a result, 
 it has been necessary to base most of the estimates for this study upon the 
 1900 Census figures. Exceptions to this rule are the power laundries, and 
 custom grist and saw mills (trades for which later census reports have given 
 information), and the construction industry and automobile repair indus- 
 try, the estimates for which have been made largely from other sources 
 than the Census. 
 
 The problem of estimating the net value products of the hand trades has 
 been disproportionately laborious, but because of the paucity of reliable 
 information available, has, nevertheless, not produced results of any high 
 degree of reliability. On the contrary, the totals presented in the accom- 
 panying tables must be regarded merely as very rough approximations to 
 the actual quantities which they are supposed to represent. Laundries, 
 perhaps, form an exception to this general rule, the information concern- 
 ing them being so much more complete that the figures presented here may 
 be regarded as moderately reliable.- 
 
 Since it is felt that the estimates for the individual trades are so inaccu- 
 rate, and since theinteresl in the facts concerning most of them is presum- 
 ably not very widespread, it seems that the expense of publishing a de- 
 scription of the special procedure used for each trade or group of trades is 
 scarcely warranted; hence a summary only is given except in the case of 
 the construction industry. Suffice it to say that the estimates for the 
 separate fields have, in every instance, been made with as great a degree 
 of care as the nature of the data available seems to justify. 
 
 The figures for the construction industry are published in detail in 
 Chapter VII, not because the estimates for that field are of a quality 
 superior to the others, but because construction is the largesl of the hand 
 trades and is at present a subject attracting wide attention. 
 
 99
 
 100 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 6A 
 
 A ROUGH ESTIMATE OF THE TOTAL OF WAGES AND SALARIES RECEIVED BY 
 EMPLOYEES IN THE HAND TRADES OF THE CONTINENTAL UNITED STATES 
 
 
 Millions of Dollars 
 
 
 
 
 
 
 Black- 
 
 
 
 
 Repair 
 of sewing 
 
 
 
 
 
 
 C ustom 
 
 
 smithing, 
 
 
 
 
 machines, 
 
 
 
 
 All 
 
 Con- 
 
 tailoring, 
 
 Repair 
 
 bicycle 
 
 Laun- 
 
 Shoe 
 
 Custom 
 
 type- 
 
 Custom 
 
 Custom 
 
 Year 
 
 hand 
 
 struc- 
 
 millinery, 
 
 of auto- 
 
 repairing, 
 
 dries 
 
 repair- 
 
 dress- 
 
 writers, 
 
 grist 
 
 saw 
 
 
 trades 
 
 tion 
 
 dyeing 
 
 and 
 cleaning 
 
 mobiles 
 
 cabinet 
 making 
 and taxi- 
 dermy 
 
 
 ing 
 
 making 
 
 locks, 
 
 clocks 
 
 and 
 
 jewelry 
 
 mills 
 
 mills 
 
 1909 
 
 $1,487 
 
 $1,192 
 
 $ 87 
 
 $ 34 
 
 $51 
 
 $ 63 
 
 $13 
 
 $33 
 
 $10 
 
 $1 
 
 $2 
 
 1910 
 
 1,472 
 
 1,146 
 
 93 
 
 48 
 
 54 
 
 71 
 
 13 
 
 34 
 
 11 
 
 1 
 
 2 
 
 1911 
 
 1,443 
 
 1,104 
 
 93 
 
 55 
 
 54 
 
 74 
 
 14 
 
 35 
 
 11 
 
 1 
 
 1 
 
 1912 
 
 1,580 
 
 1,218 
 
 96 
 
 67 
 
 55 
 
 80 
 
 15 
 
 35 
 
 11 
 
 1 
 
 1 
 
 1913 
 
 1,667 
 
 1,270 
 
 102 
 
 75 
 
 57 
 
 91 
 
 16 
 
 36 
 
 11 
 
 1 
 
 1 
 
 1914 
 
 1,336 
 
 932 
 
 103 
 
 90 
 
 58 
 
 86 
 
 15 
 
 38 
 
 11 
 
 1 
 
 1 
 
 1915 
 
 1,352 
 
 927 
 
 108 
 
 102 
 
 58 
 
 90 
 
 15 
 
 37 
 
 12 
 
 2 
 
 1 
 
 1916 
 
 1,545 
 
 1,066 
 
 141 
 
 106 
 
 60 
 
 96 
 
 20 
 
 38 
 
 14 
 
 1 
 
 2 
 
 1917 
 
 1,575 
 
 973 
 
 204 
 
 153 
 
 61 
 
 98 
 
 23 
 
 41 
 
 18 
 
 3 
 
 2 
 
 1918 
 
 1,744 
 
 964 
 
 276 
 
 220 
 
 86 
 
 106 
 
 27 
 
 41 
 
 20 
 
 2 
 
 2 
 
 1919 
 
 
 
 306 
 
 
 91 
 
 
 34 
 
 47 
 
 25 
 
 
 
 TABLE 6B 
 
 A ROUGH ESTIMATE OF THE TOTAL SHARE OF THE EMPLOYEES IN THE NET VALUE 
 PRODUCT OF THE HAND TRADES OF THE CONTINENTAL UNITED STATES 
 
 (Wages and Salaries, Plus Payments for Contract Work) 
 
 
 Millions of Dollars 
 
 
 
 
 
 
 Black- 
 
 
 
 
 Repair 
 
 
 
 
 
 
 
 
 
 
 
 of sewing 
 
 
 
 
 
 
 Custom 
 
 
 smithing, 
 
 
 
 
 machines. 
 
 
 
 
 All 
 
 Con- 
 
 tailoring. 
 
 Repair 
 
 bicycle 
 
 Laun- 
 
 Shoe 
 
 Custom 
 
 type- 
 
 Custom 
 
 Custom 
 
 \ ear 
 
 hand 
 
 struc- 
 
 millinery, 
 
 of auto- 
 
 repairing, 
 
 dries 
 
 repair- 
 
 dress- 
 
 writers, 
 
 grist 
 
 saw 
 
 
 trades 
 
 tion 
 
 dyeing 
 
 and 
 cleaning 
 
 mobiles 
 
 cabinet 
 making, 
 and taxi- 
 dermy 
 
 
 ing 
 
 making 
 
 locks, 
 
 clocks 
 
 and 
 
 jewelry 
 
 mills 
 
 mills 
 
 1909 
 
 $1,498 
 
 $1,192 
 
 $ 97 
 
 $ 34 
 
 $52 
 
 $ 63 
 
 $13 
 
 $33 
 
 $11 
 
 $1 
 
 $2 
 
 1910 
 
 1,485 
 
 1,146 
 
 104 
 
 48 
 
 55 
 
 72 
 
 14 
 
 34 
 
 11 
 
 1 
 
 2 
 
 1911 
 
 1,455 
 
 1,104 
 
 103 
 
 55 
 
 55 
 
 71 
 
 14 
 
 35 
 
 11 
 
 1 
 
 1 
 
 1912 
 
 1,593 
 
 1,218 
 
 107 
 
 67 
 
 56 
 
 SO 
 
 15 
 
 36 
 
 11 
 
 1 
 
 1 
 
 1913 
 
 1,681 
 
 1,276 
 
 114 
 
 75 
 
 58 
 
 91 
 
 16 
 
 36 
 
 11 
 
 1 
 
 1 
 
 1914 
 
 1,350 
 
 932 
 
 115 
 
 90 
 
 59 
 
 86 
 
 15 
 
 39 
 
 11 
 
 1 
 
 1 
 
 1915 
 
 1,366 
 
 927 
 
 120 
 
 102 
 
 59 
 
 91 
 
 15 
 
 38 
 
 12 
 
 2 
 
 1 
 
 1916 
 
 1,563 
 
 1,066 
 
 157 
 
 106 
 
 61 
 
 97 
 
 20 
 
 3S 
 
 14 
 
 1 
 
 2 
 
 1917 
 
 1,601 
 
 973 
 
 227 
 
 153 
 
 62 
 
 99 
 
 24 
 
 41 
 
 IS 
 
 3 
 
 2 
 
 191S 
 
 1,77s 
 
 9(14 
 
 307 
 
 220 
 
 88 
 
 106 
 
 28 
 
 41 
 
 20 
 
 2 
 
 2 
 
 1919 
 
 
 
 340 
 
 
 92 
 
 
 34 
 
 47 
 
 26 
 
 
 
 ,
 
 SUMMARY OF THE HAND TRADES 
 
 101 
 
 TABLE 6C 
 
 ROUGH ESTIMATE OF THE NET VALUE PRODUCT O] THE HAND TRADES IN 
 
 CONTINENTAL UNITED STATES 
 
 THE 
 
 
 Millions of Dollars 
 
 
 
 
 Custom 
 
 
 Black- 
 smithing, 
 
 
 
 
 Repair 
 
 of sewing 
 machines, 
 
 
 
 
 All 
 
 Con- 
 
 tailoring, 
 
 Repair 
 
 bicycle 
 
 Laun- 
 
 Shoe 
 
 Custom 
 
 t\ pe- 
 
 Custom 
 
 Custom 
 
 Year 
 
 hand 
 
 struc- 
 
 millinery, 
 
 of auto- 
 
 repairing, 
 
 dries 
 
 repair- 
 
 dress- 
 
 writers, 
 
 grist 
 
 saw 
 
 
 trades 
 
 tion 
 
 dyeing, 
 
 mobiles 
 
 cabinet 
 making, 
 
 
 ing 
 
 making 
 
 locks. 
 
 mills 
 
 mills 
 
 
 
 
 and 
 
 
 
 
 
 clocks, 
 
 
 
 
 
 
 cleaning 
 
 
 and taxi- 
 dermy 
 
 
 
 
 and 
 jewelry 
 
 
 
 1909 
 
 $2,615 
 
 S 1.959 
 
 $209 
 
 S 59 
 
 $124 
 
 $98 
 
 S 53 
 
 $68 
 
 $33 
 
 S <s 
 
 $4 
 
 1910 
 
 2,521 
 
 1,806 
 
 223 
 
 /.) 
 
 131 
 
 116 
 
 55 
 
 69 
 
 33 
 
 9 
 
 4 
 
 1911 
 
 2,484 
 
 1,734 
 
 222 
 
 91 
 
 133 
 
 128 
 
 57 
 
 72 
 
 34 
 
 10 
 
 3 
 
 1912 
 
 2,685 
 
 1,885 
 
 230 
 
 11 1 
 
 135 
 
 144 
 
 61 
 
 72 
 
 34 
 
 8 
 
 4 
 
 1913 
 
 2,521 
 
 1,669 
 
 244 
 
 122 
 
 139 
 
 162 
 
 64 
 
 71 
 
 31 
 
 8 
 
 4 
 
 1914 
 
 2,292 
 
 1,413 
 
 247 
 
 149 
 
 142 
 
 157 
 
 60 
 
 7s 
 
 34 
 
 8 
 
 3 
 
 1915 
 
 2,326 
 
 1,413 
 
 258 
 
 171 
 
 142 
 
 154 
 
 61 
 
 i i 
 
 36 
 
 11 
 
 3 
 
 1916 
 
 2,702 
 
 1,647 
 
 337 
 
 184 
 
 146 
 
 171 
 
 82 
 
 ~s 
 
 43 
 
 10 
 
 4 
 
 1917 
 
 2,601 
 
 1,267 
 
 488 
 
 266 
 
 148 
 
 175 
 
 94 
 
 84 
 
 r,<\ 
 
 19 
 
 1 
 
 1918 
 
 2,984 
 
 1,280 
 
 661 
 
 367 
 
 210 
 
 191 
 
 111 
 
 83 
 
 hi 
 
 15 
 
 
 
 1919 
 
 
 
 732 
 
 
 222 
 
 
 137 
 
 97 
 
 77 
 
 
 
 § 6b. Analysis 
 
 Table 6D contains an analysis of the combined results presented in the 
 immediately preceding tables. It shows that there has probably been 
 relatively little change in the size of the fraction of the total product of 
 this group of industries received by the employees, the share remaining in 
 the neighborhood of three-fifths of the whole. It also appears that while 
 the average nominal wage has risen sharply throughout the decade, there 
 has been but little increase in the earnings when measured in terms of 
 money of constant purchasing power.
 
 102 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 6D 
 
 AX ESTIMATE OF THE SHARE OF THE EMPLOYEES IN THE NET VALUE 
 PRODUCT OF ALL HAND TRADES COMBINED 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 H 
 
 
 
 
 
 
 
 
 Purchasing 
 
 
 
 
 Per cent of 
 
 Total num- 
 
 Average 
 
 Index of 
 
 power of 
 
 
 
 Share of 
 
 net value 
 
 ber of 
 
 annual 
 
 prices of 
 
 the average 
 
 
 Net value 
 
 em- 
 
 product 
 
 employees 
 
 earnings 
 
 goods 
 
 annual 
 
 \ ea r 
 
 product a 
 
 ployees b 
 
 going to 
 
 normally 
 
 per 
 
 consumed 
 
 earnings 
 
 
 (Millions) 
 
 (Millions) 
 
 employees 
 
 ;it Inched to 
 
 employee 
 
 by manual 
 
 per 
 
 
 
 
 100C 
 
 hand trades 
 
 C 
 
 and 
 
 employee 
 
 
 
 
 B 
 
 (Thousands) 
 
 E 
 
 clerical 
 workers c 
 
 F 
 G 
 
 1909 
 
 $2,615 
 
 $1,498 
 
 57.3 
 
 2,144 
 
 $ 699 
 
 . 955 
 
 $732 
 
 1910 
 
 2.521 
 
 1,485 
 
 58.9 
 
 2,182 
 
 681 
 
 .978 
 
 696 
 
 1911 
 
 2,484 
 
 1,455 
 
 58.6 
 
 2,215 
 
 657 
 
 . 984 
 
 667 
 
 1912 
 
 2,685 
 
 1,593 
 
 59.3 
 
 2,230 
 
 714 
 
 .994 
 
 719 
 
 1913 
 
 2,521 
 
 1,681 
 
 66 . 7 
 
 2,248 
 
 748 
 
 1.000 
 
 748 
 
 1914 
 
 2,292 
 
 1,350 
 
 58 . 9 
 
 2,108 
 
 640 
 
 1.01 
 
 634 
 
 1915 
 
 2,326 
 
 1,366 
 
 58 . 7 
 
 1,972 
 
 693 
 
 1 . 03 
 
 673 
 
 1916 
 
 2,702 
 
 1,563 
 
 57 . 8 
 
 1,861 
 
 840 
 
 1.10 
 
 763 
 
 1917 
 
 2,601 
 
 1,601 
 
 61.6 
 
 1,695 
 
 945 
 
 1.29 
 
 732 
 
 1918 
 
 2,984 
 
 1,778 
 
 59 . 6 
 
 1 ,489 
 
 1,194 
 
 1 . 58 
 
 756 
 
 a See Table 6C. 
 b See Table 6B. 
 e See Table 2C. 
 
 S
 
 CHAPTER 7 
 
 THE CONSTRUCTION INDUSTRY 1 
 
 (Shipbuilding Excluded) 
 § 7a. Introduction. 
 
 This is one of the so-called hand trades of which the Census Bureau has 
 taken no cognizance since 1900. Even in that year, according to state- 
 ments in the Census volume, reports were not secured from a large pro- 
 portion of the smaller concerns; hence the Census totals for 1900 cannot 
 be taken to represent the size of the industry at thai date Without any 
 definite Census base to build upon, it is impossible to follow the usual 
 method of extending the data therefrom by means of other available cri- 
 teria. The actual amount of construction done in each year must, then, 
 be estimated from sources other than the Census. 
 
 § 7b. Sources of Data 
 
 Search has thus far revealed only two extensive collections of data con- 
 cerning the volume of building. A record of building permits issued in the 
 principal cities is kept by certain financial newspapers. These data throw 
 no light upon construction in the rural districts and do not include con- 
 tracts let by the Federal Government. The F. W. Dodge Company, 
 publishers of The American Contractor, compiles figures supposed to rep- 
 resent for certain well-defined sections of the country the total volume of 
 contracts let each year. It appears probable, however, that some of the 
 smaller contracts fail to appear in their records and that the records were 
 much more incomplete in former years than at present. 
 
 Both of these sources of data are, therefore, more or less unsatisfactory, 
 but, since nothing better is al hand,'-' they must form the basis for estimat- 
 ing the amount of construction undertaken in each year. The way in 
 which these sources have been used is described in the following pages. 
 
 § 7c. The Volume of Construction 
 
 From the reports cf building permit-; quoted in The Statistical Abstracts 
 
 1 Includes construction of buildings, highways, bridges, new railways, docks, etc. 
 
 2 The bulletin entitled Statistics of Incomi published by the Bureau of Internal Revenue 
 gives data concerning gross construction by corporations, but such a large proportion <>f 
 building is dune by individuals that it seems impracticable to obtain from these Qgures totals 
 re] n senting the entire industry. 
 
 in:;
 
 104 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 of the United States for various years, an estimate has been made of the 
 building permits issued by the list of cities cited in the 1916 number. The 
 population of these cities in 1910 and 1920 can be ascertained from the 
 Census reports and the fraction of the population of the entire United 
 States residing in these cities in the various years has been closely approx- 
 imated by aid of a smooth curve. The tentative assumption has been made 
 that the amount of building per capita in these cities is typical of the coun- 
 try as a whole, and an estimate for the entire nation has been made upon 
 this basis. 
 
 However, these building-permit records do not include the construction 
 contracts awarded by the Federal Government, hence it is necessary to 
 add estimates for this source. A careful study has been made of the records 
 of the Federal Departments and certain information for recent years has 
 also been secured through the courtesy of Mr. Homer Hoyt, formerly with 
 the Building Materials Division of the War Industries Board. The esti- 
 mates derived from these sources are shown in Table 7A and are there con- 
 verted to indices based upon the value for 1918. 
 
 The method just described gives an estimated gross construction value 
 in 1918 of $2,979,000,000. The F. W. Dodge Company reports contracts 
 in 1918 aggregating $1,655,099,000, for that part of the United States, 
 east of the Missouri and north of the Ohio. The wealth of the whole 
 nation is estimated from the Census of Wealth, Debt, and Taxation to 
 have been in 1918 about 1.685 times as great as that of the reporting ter- 
 ritory. If construction is in proportion to wealth, then the total contracts 
 let in the United States should have been about $2,786,000,000, in 1918. 
 
 It seems probable that the rural population does not build quite as much 
 in proportion as do the inhabitants of great cities, and because of the difficul- 
 ties involved it also appears unlikely that the F. W. Dodge Company gets 
 a record of every building contract made. Furthermore, many buildings 
 are constructed without any contract. Under the circumstances, therefore, 
 it seems well to average the estimate for 1918 made on the basis of build- 
 ing permits with that of the F. W. Dodge Company. The resulting aver- 
 age is $2,766,000,000. This figure has been multiplied by the construction 
 index previously described in order to approximate the amount of construc- 
 tion in the United States for each year. The results appear in Table 7 A. 
 
 ,
 
 THE CONSTRUCTION INDUSTRY 
 
 KC, 
 
 TABLE 7A 
 
 THE VALUE OF CONSTRUCTION WORK IN THE CONTINENTAL UNITED 
 STATES AS ESTIMATED FROM THE F. W. DODGE COMPANY'S RE- 
 PORTS ON CONTRACTS LET AND THE BUILDING PERMITS ISSUED 
 IN LEADING CITIES 
 
 
 Building 
 
 
 
 
 
 
 F. W. 
 
 
 
 permits 
 
 Ratio of 
 
 Private 
 
 Federal 
 
 Con- 
 
 Sum of 
 
 Dodge 
 
 Esti- 
 
 
 issued in 
 
 popula- 
 
 building 
 
 govern- 
 
 preced- 
 
 Co.'s est i- 
 
 mated 
 
 Year 
 
 a selected 
 
 tion of 
 
 in L. S.; 
 
 ment con- 
 
 si met ion 
 work by 
 
 ing three 
 
 Iliate nt 
 
 value of 
 
 list a of 
 
 given 
 
 estimated 
 
 struct inn 
 
 columns 
 
 total 
 
 consl ruc- 
 
 
 large 
 
 cities to 
 
 from 
 
 in U. S.<* 
 
 railways-/ 
 
 (Millions) 
 
 (Mil- 
 
 construc- 
 
 tion work 
 
 
 cities 
 
 that of 
 
 permits' - 
 
 (Millions) 
 
 lions) 
 
 tion 
 
 in U.S./ 
 
 
 (Millions) 
 
 U. S.6 
 
 (Millions) 
 
 
 
 
 (Millions) 
 
 (Millions) 
 
 1909. . 
 
 $772 
 
 .2181 
 
 $3,540 
 
 $ 123 
 
 $16 
 
 $3,679 
 
 
 $3,708 
 
 1910. 
 
 726 
 
 .2193 
 
 3,311 
 
 122 
 
 38 
 
 3,471 
 
 
 :;.!98 
 
 1911. . 
 
 701 
 
 .2210 
 
 3,172 
 
 143 
 
 41 
 
 3,356 
 
 
 3,383 
 
 1912. . 
 
 754 
 
 .2231 
 
 3,380 
 
 139 
 
 29 
 
 3.5 is 
 
 
 3,576 
 
 1913.. 
 
 686 
 
 .2242 
 
 3,060 
 
 153 
 
 44 
 
 3.257 
 
 
 3,283 
 
 1914. . 
 
 631 
 
 . 2257 
 
 2,796 
 
 154 
 
 26 
 
 2,976 
 
 
 3,000 
 
 1915. . 
 
 654 
 
 .2279 
 
 2,870 
 
 131 
 
 20 
 
 3,021 
 
 
 3,045 
 
 1916.. 
 
 840 
 
 .2298 
 
 3,656 
 
 90 
 
 53 
 
 3,799 
 
 
 3,829 
 
 1917. . 
 
 603 
 
 .2315 
 
 2,605 
 
 419 
 
 63 
 
 3,087 
 
 
 3.111 
 
 1918.. 
 
 363 
 
 .2333 
 
 1,556 
 
 1,161 
 
 28 
 
 2,745 
 
 $2,786 
 
 '-'.7()6e 
 
 a For list, see the Statistical Abstract of the U. S. for 1916; figures partly estimated. 
 
 b Calculated by aid of smooth curves. 
 
 c Calculated by dividing items in the second column by those in the third. 
 
 d Compiled from records of various Departments; shipbuilding and railway work 
 excluded. 
 
 e Average of figures in two preceding columns. 
 
 /The ratio of 2,766 to 2,745 is 1.008. The items in the second column piece ling 
 have been multiplied by 1.008 to obtain the items in this column. 
 
 9 Equals two-thirds of amounts appropriated by railways for "Additions to Physical 
 Property." See Statistics of Railways by Interstate Commerce Commission. 
 
 § 7d. The Aggregate of Wages and Salaries 
 
 Although the information concerning the volume of construction is 
 
 scanty and unreliable enough, that pertaining to the division of the gross 
 receipts between employees, entrepreneurs and other property owners 
 in this field, and other industries contributing materials or supplies to 
 this industry, is still less adequate. 
 
 Contractors in this field do not care to make public either their profits 
 or an itemized list of their expenses. Only one concern has been discovered 
 which publishes annual reports, and even these reports do not extend over 
 the period desired. This concern, the United Stales Realty Co., is fortu- 
 nately a large operator and carries on building enterprises of different types 
 in various parts of the United Slab's. It is possible, therefore, that its 
 financial history may be rather typical of that of construction companies
 
 106 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 in general. However, this is an assumption resting upon decidedly slender 
 foundations. 
 
 The Department of Internal Affairs of Pennsylvania shows in its annual 
 report the relationship between the amount paid for wages and salaries 
 and the gross value of construction for each year. Although fluctuations 
 from year to year doubtless are not uniform in the various sections of the 
 country, it seems probable that the trend of the Pennsylvania ratios does 
 not differ widely from that of the country as a whole. In the absence of 
 more complete data, it has been necessary to rely solely upon these figures 
 in calculating the amount of the payments for wages and salaries. 
 
 Under these circumstances, it is clear that estimates of the various 
 shares in the net value product of the building industry are necessarily 
 very crude. The method of deriving such estimates as are possible from 
 the fragmentary information available is described in the following pages. 
 
 Table 7B furnishes an estimate of the amount paid by the industry to 
 employees in the form of wages and salaries. It is based wholly upon the 
 assumption that the Pennsylvania ratio of this amount to the gross value 
 of construction is the same as the average ratio for the entire United States. 
 
 TABLE 7B 
 
 AN ESTIMATE OF THE TOTAL AMOUNT RECEIVED IN THE FORM OF 
 WAGES AND SALARIES BY EMPLOYEES ENGAGED IN THE CON- 
 STRUCTION INDUSTRY 
 
 Calendar year 
 
 Gross value i f 
 
 construction in the 
 
 Continental 
 
 United States a 
 
 (Millions) 
 
 Fraction of gross 
 value going to em- 
 ployees 
 
 Total payments for 
 
 wages and salaries e 
 
 (Millions) 
 
 1909 
 
 1910. . 
 
 $3,708 
 3,498 
 3,383 
 3,576 
 
 3,283 
 3,000 
 3,015 
 3,829 
 
 3,111 
 
 2,766 
 
 .321.V/ 
 .3276<* 
 .3263 d 
 .3406a 
 
 . 3888 b 
 .3107'' 
 .30436 
 
 . 2785 c 
 
 .31276 
 .34846 
 
 SI, 192 
 1,146 
 1,104 
 
 1,218 
 
 1,276 
 932 
 
 1911 
 
 1912 
 
 1913 
 
 1914 
 
 1915 
 
 1916 
 
 927 
 1,086 
 
 973 
 964 
 
 1917 
 
 1918 
 
 a See Table 7 A. 
 
 b Assumed to be same as in Pennsylvania; see Reports of Pa. Commissioner of Labor 
 and Industry and Report on Productive Industries for 1919 by the Pa. Dept. of In- 
 ternal Affairs. 
 
 c Based on ratio of wages in 1916 to those in 1915 in State of Pennsylvania. 
 
 d Interpolated between fraet ion of gross out put going to employees in the U. S. according 
 to the < Vnsus of 1900 (.2685) and the Pa. figures for 1913. Changes in the hourly wage 
 rate for building labor were used as aids in the interpolation. For wage rates, see Table 7C. 
 
 « Product of two preceding columns. 
 
 S
 
 THE CONSTRUCTION INDUSTRY 107 
 
 § 7e. The Share of the Entrepreneurs and Other Property Owners: 
 
 First Estimate 
 
 The next step necessary was the computation of the share going to 
 entrepreneurs and other property owners. The starting point was the 
 partial census of the building industry in 1900. In Volume 7, Part 1, page 
 ccxlvi, of the Manufactures Census for that year, there is given a summary 
 of the findings. It shows a payment of $1 00,898,680, for wages and $321,- 
 339,847, for materials. Depreciation was assumed to have been high and 
 has been estimated at 10' ( annually on the capital invested. This would 
 give a depreciation allowance of 819, 372,504. By adding this amount to 
 the reported expenses of production and deducting the sum from the gros- 
 value of the products, the amount received by the entrepreneurs for their 
 services and for the use of their invested resources was estimated at 
 $119,767,815. 
 
 A foundation having thus been laid, the next essential was to estimate 
 the relative shares of the leading productive agents for the different years. 
 The steps in order were as follows: — 
 
 First, a weighted index of wages per hour in the building trades was 
 computed from the data furnished in Bulletins 131 and 259 of the United 
 States Bureau of Labor. The weights used for the different occupations 
 correspond to the number of men engaged in each trade in 1910 as esti- 
 mated from the data in the Census of Occupations. They are as follows: — 
 
 Bricklayers 156 
 
 Building Laborers 686 
 
 Carpenters 696 
 
 Hod Carriers 170 
 
 Inside Wiremen 50 
 
 Painters 278 
 
 Plasterers 50 
 
 Plumbers & Gasfitters 105 
 
 Steam Fitters 35 
 
 Stone Masons 39 
 
 Structural Iron Workers II 
 
 StoneCutters 10 
 
 The indices for each trade were reduced to a common base, then multi- 
 plied by the weights specified, and an average of the indices obtained. 
 This average index appeals in 'Fable 7C. 
 
 Average index numbers for the price of building materials were taken 
 from page 179 of Bulletin 149 of the Bureau of Labor Statistics and from
 
 108 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 the Statistical Abstracts of the United States for 1918 and 1919 on pages 
 578 and 568 respectively. These indices were converted by division to 
 the common base 1913. 
 
 The profits from construction are shown in the annual reports of the 
 United States Realty Company. This company also derives a large income 
 from rentals. General expenses were divided in proportion to the respec- 
 tive receipts from these two sources and the fraction apportioned to con- 
 struction was subtracted from the profits from that field. Unfortunately, 
 the operations of the United States Realty Company only go back to 1904, 
 hence it was necessary to manufacture a figure to represent 1899. This 
 quantity was assumed to bear the same ratio to the actual profits for 1909 
 as the average index of the prices of wages and materials in 1899 bears to 
 the corresponding average in 1909. The imaginary quantity thus com- 
 puted for 1899 was $903,000. 
 
 An estimate of net profits having been thus arrived at for each year, the 
 actual amounts were next converted to an index number based upon the 
 year 1913. Table 7C shows the net results of the operations just described. 
 
 TABLE 7C 
 
 AN ESTIMATE OF THE RELATIVE VARIATIONS IN PAYMENTS GOING 
 TO SOME OF THE LEADING AGENTS OF PRODUCTION IN THE CON- 
 STRUCTION INDUSTRY 
 
 (For the Continental United States) 
 
 
 Estimated net profits 
 
 of the United States 
 
 Realty Company 
 
 derived from 
 
 construction & 
 
 Indices of comparative change 
 
 (Base 1913) 
 
 Year 
 
 Profits of 
 
 U. S. Realty 
 
 Company 
 
 Wages per hour 
 
 of building 
 
 workers c 
 
 Prices of 
 materials c 
 
 1899 
 
 1909 
 
 1910 
 
 1911 
 
 1912 
 
 1913 
 
 1914 
 
 1915 
 
 1916 
 
 1917 
 
 1918 
 
 $ 903,000 a 
 
 1,215,000 
 1,102,000 
 931,000 
 1,113,000 
 1,038,000 
 
 892,000 
 796,000 
 392,000 
 947,000 
 1,485,000 
 
 .870 
 
 1.171 
 1 . 062 
 
 .897 
 1.072 
 1.000 
 
 .859 
 .767 
 .378 
 .912 
 1.431 
 
 .663 
 
 .918 
 .949 
 .960 
 .973 
 1.000 
 
 1.017 
 
 1.024 
 1.065 
 1.147 
 
 1.288 
 
 .696 
 
 .911 
 
 1.010 
 
 .996 
 
 .976 
 
 1.000 
 
 .97 
 
 .94 
 
 1.01 
 
 1.24 
 
 1.506 
 
 a Assumed; see text for basis. 
 
 b Calculated from Annual Reports. 
 
 c From U. S. Bureau of Labor Statistics data; for description, see text. 
 
 An effort was next made to use the data just presented to ascertain the 
 fraction of the gross value of the output of the industry going to entre- 
 
 S
 
 THE CONSTRUCTION INDUSTRY 
 
 109 
 
 preneurs and other property owners. As a first step, the actual values 
 representing each productive agent in 1899 were multiplied by the indices 
 shown in Table 7C. The next step was to reduce the resulting products 
 to percentages of the gross output for each year. In 1899, 85.40 per cent 
 of the gross value of the product went to the three factors, wages, materials 
 and the entrepreneur. 1 For want of better evidence, this percentage was 
 assumed to have remained constant. The calculated percentages for each 
 year were therefore made to total 85.40. The results derived appeal' in 
 Table 7D. 
 
 TABLE 7D 
 
 ESTIMATES OF THE PERCENTAGE OF THE GROSS VALUE OF CON- 
 STRUCTION GOING TO EACH OF THREE IMPORTANT AGENTS IN 
 THE VARIOUS YEARS 
 
 (For the Continental United States) 
 
 Year 
 
 Relative amounts b in millions of 
 dollars 
 
 Percentage of gross value of 
 construction e 
 
 
 Profits 
 
 Wages 
 
 Mate- 
 rials 
 
 Total 
 
 Profits 
 
 Wages 
 
 Mate- 
 rials 
 
 Total 
 
 1899 
 
 1909 
 1910 
 1911 
 
 1912 
 
 1913 
 
 1914 
 
 1915 
 1916 
 1917 
 1918 
 
 104.2 
 
 140.3 
 127.2 
 107.4 
 128 . 4 
 119.8a 
 
 102.9 
 
 91.9 
 
 45.3 
 
 109.2 
 
 171.4 
 
 126.6 
 
 175.2 
 181.2 
 183.3 
 185 . 7 
 190.9a 
 
 194.1 
 195.5 
 203.3 
 219.0 
 245.9 
 
 223.6 
 
 292.7 
 324.5 
 320.0 
 313.6 
 321.3a 
 
 311.7 
 
 302 . 
 324.5 
 
 398.4 
 483.9 
 
 454.4 
 
 COS. 2 
 632 . 9 
 610.7 
 627.7 
 632.0a 
 
 608.7 
 
 589 . 4 
 573.1 
 726.6 
 901.2 
 
 19.58 
 
 19.71 
 17.18 
 15.03 
 17.51 
 16.20 
 
 14.44 
 
 13.34 
 
 6.58 
 
 12. S3 
 
 16.23 
 
 23.78 
 
 24.61 
 24.41 
 25.62 
 
 25 . 28 
 25.76 
 
 27.20 
 28 29 
 30 '31 
 25.72 
 23 30 
 
 42.04 
 
 11 OS 
 
 43.81 
 
 11 75 
 42.61 
 43.44 
 
 43.76 
 
 43.77 
 48.51 
 46 85 
 15 87 
 
 85.40 
 
 85.40 
 85 40 
 85 . 40 
 85 40 
 85.40 
 
 85 40 
 85 . 40 
 85 40 
 85 40 
 85 40 
 
 a Amounts as shown in Census of 1900; here used as liases. 
 li Derived by multiplying the bases by the indices recorded in Table 7( '. 
 c The mode of deriving these percentages is illustrated by the following proportion 
 representing profits in 1899:— 1.042: 4.544:: 19.58: 85.40. 
 
 From data furnished on pages ccxlvi and 50 of Volume 7, Part 1, of the 
 Census of Manufactures for 1900, the following estimates have been de- 
 rived for the construction industry: — 
 
 i The entrepreneurs' share includes not only net profits but also all gains due to resources 
 of any sort invested in the construction industry.
 
 110 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 Item Thousands 
 
 Wages $190,899 
 
 Salaries 8,652 
 
 Land rent a 966 
 
 Building renta 1,098 
 
 Interest paid to private parties (assumed to be two- 
 thirds of all interest) 5,064 
 
 Profits 119,768 
 
 Total Value Product in 1899 $326,447 
 
 a Assumed to be five per cent of the value of this type of assets devoted to the industry. 
 
 From the above estimates, it appears that the total share of entrepre- 
 neurs and investors is about 1.054 times that of entrepreneurs alone. 
 
 The percentages shown in the sixth column of Table 7D have therefore 
 been multiplied by this factor to obtain estimates of the proportion of the 
 gross value of construction going to the propertied classes. 
 
 TABLE 7E 
 
 FIRST ESTIMATE OF THE TOTAL SHARE OF ENTREPRENEURS AND 
 OTHER PROPERTY OWNERS; BASED UPON THE CENSUS OF 1900 
 AND THE PROFITS OF THE UNITED STATES REALTY COMPANY 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 Calendar 
 year 
 
 Fraction of 
 
 gross value 
 
 constituting 
 
 profits a 
 
 Fraction of 
 
 gross value 
 
 going to 
 
 entrepreneurs 
 
 and other 
 
 property owners 
 
 1.054 X B6 
 
 Gross value of 
 
 construction c 
 
 (Millions) 
 
 Share of entre- 
 preneurs and 
 other property 
 
 owners 
 
 C X D 
 
 1909 
 
 1910 
 
 1911 
 
 .1971 
 .1718 
 . 1503 
 . 1751 
 
 .1620 
 .1444 
 . 1334 
 . 0ii5S 
 
 .1283 
 . 1623 
 
 .2077 
 .1811 
 . 15S4 
 . 1S46 
 
 . 1708 
 . 1522 
 .1408 
 .0iJ94 
 
 .1352 
 .1711 
 
 $3,708 
 3,498 
 3,383 
 3,576 
 
 3,283 
 
 3,000 
 3,015 
 3,829 
 
 3,111 
 2,766 
 
 $770 
 633 
 536 
 
 1912 
 
 1913 
 
 660 
 561 
 
 1914 
 
 1915 
 
 1916 
 
 1917 
 
 1318 
 
 456 
 
 428 
 266 
 
 421 
 
 473 
 
 
 
 a See Table 7D. 
 
 b For explanation of ratio, see text. 
 
 c See Table 7A. 
 
 § 7f. The Share of the Entrepreneurs and Other Property Owners: 
 
 Second Estimate 
 
 Because of the unreliability of the basis for the fractions recorded in 
 Column C of Table 7E, it seems desirable to make another and independent
 
 THE CONSTRUCTION INDUSTRY 
 
 111 
 
 estimate of the share of the entrepreneurs and other possessors of property. 
 This has been done by first estimating certain expenses incurred by the 
 builders and subtracting the amounts thus arrived at from the gross value 
 of the output. Table 7F illustrates the modus operandi. 
 
 TABLE 7F 
 
 SECOND ESTIMATE OF THE SHARE OF THE ENTREPRENEURS AND 
 OTHER PROPERTY OWNERS; DERIVED BY SUBTRACTING CERTAIN 
 
 EXPENSES FROM THE GROSS VALUE OF CONSTRUCTION 
 
 (Millions of Dollars) 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 
 Payments not going to entrepreneurs or property 
 owners 
 
 Gross 
 value of 
 construc- 
 tion d 
 
 Share of 
 
 Calen- 
 dar 
 year 
 
 Cost of 
 
 materials a 
 
 Wages and 
 
 salaries 
 
 paid b 
 
 Miscel- 
 laneous 
 
 expenses 
 
 0.16 
 (B + C) c 
 
 Total 
 
 B + C + D 
 
 entrepre- 
 neurs and 
 property 
 owners 
 F — E 
 
 1909 . . . 
 
 1910. . . 
 
 1911. . . 
 
 1912. . . 
 
 1913 . 
 1914. 
 
 1915. . . 
 
 1916. . . 
 
 1917. . . 
 L918. . . 
 
 $1,346 
 
 1,277 
 1,187 
 1,284 
 
 1,360 
 1,219 
 1,229 
 1,462 
 
 1,565 
 1,283 
 
 SI, 192 
 1,146 
 1,104 
 
 1,218 
 
 1,276 
 932 
 
 927 
 1,066 
 
 973 
 
 964 
 
 $406 
 387 
 367 
 400 
 
 422 
 344 
 345 
 
 401 
 
 405 
 359 
 
 $2,944 
 2,810 
 2,658 
 2,902 
 
 3,058 
 
 2,495 
 2,501 
 2,932 
 
 2,9 11 
 2,606 
 
 $3,708 
 3,498 
 3,383 
 3,576 
 
 3,283 
 3,000 
 3,045 
 3,829 
 
 3,111 
 
 2,766 
 
 -764 
 688 
 725 
 674 
 
 225 
 505 
 544 
 
 897 
 
 167 
 160 
 
 a Excludes those used in shipbuilding; calculate 1 from data given in the Census 
 reports on manufactures, the Government bulletins on forestry, the reports of the 
 Geological Survey on The Mineral Resources of the United States, various numbers of 
 The Statistical Abstract, and the Annual Reports of the Secretary of the Navy. 
 
 b See Table 7B. 
 
 c Ratio in 1899 according to the Census of 1900. 
 
 d Sec Table 7A. 
 
 It is improbable that the actual fluctuations in the share of the entre- 
 preneurs and property owners were as violent as those shown in Column ( I 
 of Table 7F. However, since I here seems to be no better criterion by which 
 to adjust the estimates, the best course seems to be to leave them as they 
 stand, remembering meanwhile that they are not accurate enough to por- 
 tray anything more than general tendencies. 
 
 § 7g. Purchasing Power of Share of Entrepreneurs and Other Property 
 
 Owners 
 
 In Table 7G, the two estimates of the share of property and entrepre- 
 neurial effort have been averaged and reduced to a basis of constant pur-
 
 112 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 chasing power by dividing by a price index representing estimated changes 
 in expenditures of families having annual total expenses of $5,000. The 
 estimate of the fraction of the net value product received by the employees 
 appears in Table 7H. 
 
 TABLE 7G 
 
 FINAL ESTIMATE OF THE SHARE OF THE ENTREPRENEURS AND 
 PROPERTY OWNERS IN THE NET VALUE PRODUCT OF THE CON- 
 STRUCTION INDUSTRY 
 
 
 
 
 
 Index of 
 
 Purchasing 
 
 
 Estimate 
 based on 
 
 Estimate 
 obtained bv 
 
 Average c 
 of two 
 
 prices of 
 goods con- 
 sumed by 
 families 
 spending 
 $5,000 per 
 
 power oi 
 
 share of 
 
 entrepreneurs 
 
 Calendar 
 
 profits of the 
 
 deduction of 
 
 preceding 
 
 and property 
 
 year 
 
 U. S. Realty 
 
 Co .a 
 
 (Millions) 
 
 expenses b 
 (Millions) 
 
 estimates/ 
 (Millions) 
 
 owners at 
 
 prices of 
 
 1913* 
 
 
 
 
 
 annum d 
 
 (Millions) 
 
 1909 
 
 $770 
 
 $764 
 
 $767 
 
 .956 
 
 $802 
 
 1910 
 
 633 
 
 688 
 
 661 
 
 .977 
 
 677 
 
 1911 
 
 536 
 
 725 
 
 631 
 
 .984 
 
 641 
 
 1912 
 
 660 
 
 674 
 
 667 
 
 .999 
 
 668 
 
 1913 
 
 561 
 
 225 
 
 393 
 
 1.000 
 
 393 
 
 1914 
 
 456 
 
 505 
 
 481 
 
 1.013 
 
 475 
 
 1915 
 
 428 
 
 544 
 
 486 
 
 1.002 
 
 485 
 
 1916 
 
 266 
 
 897 
 
 581 
 
 1.088 
 
 534 
 
 1917 
 
 421 
 
 167 
 
 294 
 
 1.252 
 
 235 
 
 1918 
 
 473 
 
 160 
 
 317 
 
 1.448 
 
 219 
 
 a See Table 7E. 
 b See Table 7F. 
 c Simple arithmetic average. 
 d See Table 2G. 
 
 e Money value divided by price index. 
 
 /In the opinion of Col. M. C. Rorty (a director of this Bureau), these figures are 
 too high. 
 
 <*
 
 THE CONSTRUCTION INDUSTRY 
 
 113 
 
 TABLE 7H 
 
 THE ESTIMATED NET VALUE PRODUCT OF THE CONSTRUCTION 
 INDUSTRY AND THE SHARE THEREOF GOING TO THE EMPLOYEES 
 
 Calendar year 
 
 Share of entre- 
 preneurs and 
 other property 
 owners a 
 (Millions) 
 
 Share of em- 
 ployees b 
 (Millions) 
 
 Total net value 
 
 product 
 
 (Millions) 
 
 Per cent of net 
 
 value product 
 
 going to the 
 
 employees 
 
 1909 .... 
 
 $767 
 661 
 631 
 667 
 
 393 
 481 
 486 
 581 
 
 294 
 317 
 
 $1,192 
 1,146 
 1,104 
 1,218 
 
 1,276 
 932 
 927 
 
 1,066 
 
 973 
 
 964 
 
 $1,959 
 1,806 
 1,734 
 
 1,885 
 
 1,669 
 1,413 
 1,413 
 1,647 
 
 1,267 
 1,280 
 
 60 8 
 
 1910 
 
 63 4 
 
 1911 
 
 63 6 
 
 1912 
 
 64 6 
 
 1913 
 
 1914 
 
 1915 
 
 1916 
 
 1917 
 
 1918 
 
 76.5 
 66.0 
 65.6 
 64.7 
 
 76.8 
 75.2 
 
 a See Table 7G. 
 b See Table 7B. 
 
 The last column of Table 7H indicates that the employees receive from 
 three-fifths to four-fifths of the net value product and that this proportion 
 has been an increasing one during the decade under consideration. 
 
 From the standpoint of the average employee, it is a matter of much 
 moment to know whether he is able to buy more or less with his wages than 
 he could have done a decade ago. The data are too unreliable to be de- 
 pended upon to give more than a broad outline of the changes that have 
 occurred. The estimates appear in Table 71.
 
 114 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 71 
 
 THE PURCHASING POWER OF THE ESTIMATED COMPENSATION RE- 
 CEIVED BY THE AVERAGE EMPLOYEE IN THE CONSTRUCTION 
 INDUSTRY 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 H 
 
 I 
 
 
 
 
 Average 
 
 
 
 
 
 
 
 
 
 number 
 
 Fraction 
 
 Number 
 
 Average 
 
 Index of 
 
 Purchas- 
 
 
 Total 
 salaries 
 
 and wages 
 paid a 
 
 (Millions) 
 
 Average 
 
 full time 
 
 annual 
 
 of em- 
 
 of 
 
 attached 
 
 pay per 
 
 prices of 
 
 ing power 
 
 Cal- 
 endar 
 
 ployees 
 
 number 
 
 to 
 
 employee 
 
 goods pur- 
 
 of annual 
 
 actually 
 working 
 
 attached 
 to 
 
 industry 
 (Thou- 
 
 attached 
 to 
 
 chased by 
 manual 
 
 earnings 
 at prices 
 
 year 
 
 compen- 
 sation b 
 
 (Thou- 
 
 industry 
 
 sands) 
 
 industry 
 
 and 
 
 of 1913 
 
 
 sands) 
 
 actually 
 
 D 
 
 B 
 
 clerical 
 
 G 
 
 
 
 
 B 
 
 working c 
 
 E 
 
 F 
 
 workers 
 
 H 
 
 
 
 
 C 
 
 
 1,585 
 
 
 
 
 1909 
 
 $1,192 
 
 $ 7S6 
 
 1,516 
 
 .957 
 
 $ 752 
 
 .955 c 
 
 $787 
 
 1910 
 
 1,146 
 
 787 
 
 1.456 
 
 .910 
 
 1,600 
 
 716 
 
 .978 c 
 
 732 
 
 1911 
 
 1,104 
 
 807 
 
 1,368 
 
 .845 
 
 1,619 
 
 682 
 
 .984 c 
 
 693 
 
 1912 
 
 1,218 
 
 835 
 
 1,458 
 
 .902 
 
 1,617 
 
 753 
 
 .994 c 
 
 758 
 
 1913 
 
 1,276 
 
 830 
 
 1,537 
 
 .956 
 
 1,608 
 
 793 
 
 1 . 000 d 
 
 793 
 
 1914 
 
 932 
 
 835 
 
 1.116 
 
 . 782 
 
 1,427 
 
 653 
 
 1.01'/ 
 
 647 
 
 1915 
 
 927 
 
 879 
 
 1,054 
 
 .816 
 
 1,292 
 
 717 
 
 1.03'<* 
 
 696 
 
 1916 
 
 1,066 
 
 930 
 
 1,146 
 
 .960 
 
 1,194 
 
 893 
 
 1 . 10 d 
 
 812 
 
 1917 
 
 973 
 
 973 
 
 1,000 
 
 .975 
 
 1,026 
 
 948 
 
 1.29'' 
 
 735 
 
 1918 
 
 964 
 
 1,328 
 
 726 
 
 .959 
 
 757 
 
 1,273 
 
 1.58<* 
 
 806 
 
 a See Table 7B. 
 
 b Based on average wages in construction industry in Pa., average pay of carpenti rx 
 employed by railways, and the union scale of wages as shown by the records of the 
 U. S. Bureau of Labor Statistics. 
 
 c Method of calculation described in a separate report. 
 
 d U. S. Bureau of Labor Statistics index. 
 
 So far as can be judged by the rather crude estimates just presented, 
 the economic condition of the building workers has grown neither better 
 nor worse during the decade under consideration. 
 
 § 7h. The Total Value of Construction 
 
 It is a matter of interest to compare the gross amount of construction 
 taking place in the United States with the growth in the population. A 
 comparison with total population is of less significance than one with the 
 increase in the number of inhabitants; for one of the prime reasons for new 
 construction is the need of transportation, business buildings, housing and 
 other accommodations for the additional members of the population. 
 The fact should be kept in mind that no inconsiderable share of the con- 
 struction work during 1917 and 1918 went to meet the temporary needs 
 of war and hence added little to the total permanent improvements in the 
 
 S
 
 THE CONSTRUCTION INDUSTRY 
 
 115 
 
 country. Table 7J compares the gross figures only, as it is impracticable 
 to segregate that part of the work which was transitory in nature. 
 
 TABLE 7J 
 
 THE RELATION OF CONSTRUCTION TO POPULATION AND POPULATION 
 GROWTH IN TIIK CONTINENTAL UNITED STATES 
 
 Calen- 
 dar 
 year 
 
 1901). 
 
 mm. 
 mn. 
 
 1912. 
 
 1913. 
 1914. 
 
 1915. 
 191G.. 
 
 1917.. 
 L918. 
 
 B 
 
 Gross 
 value 
 of con- 
 st motion « 
 (Millions) 
 
 S3. 70S 
 3,498 
 3,383 
 3,576 
 
 3,283 
 
 3,000 
 3.04.", 
 3,829 
 
 3,111 
 
 2,700 
 
 C 
 
 Index of 
 construc- 
 tion 
 costs b 
 
 939 
 
 .970 
 .960 
 .987 
 
 1.000 
 .969 
 .980 
 
 1.126 
 
 371 
 481 
 
 D 
 
 ( 1 1 OSS 
 
 value of 
 const mo- 
 tion at . 
 prices of 
 
 1913 
 
 (Millions) 
 
 _B 
 
 C 
 
 $3,948 
 
 3,000 
 3,502 
 3,623 
 
 3,283 
 3.096 
 3,107 
 3,401 
 
 2,209 
 1,868 
 
 E 
 
 Population 
 of Conti- 
 nental 
 U. S. in 
 
 thousands c 
 
 90,370 
 92,220 
 93,811 
 95,338 
 
 97,278 
 
 90,191 
 100,12s 
 101,722 
 
 103,059 
 104,182 
 
 F 
 
 G 
 
 Value of 
 
 
 per capita 
 
 Incn 
 
 construc- 
 
 in popula- 
 
 tion at 
 
 tion since 
 
 prices of 
 
 preceding 
 
 1913 
 
 year** 
 
 D 
 
 (Thou- 
 
 E 
 
 sands) 
 
 $44 
 
 1,783 
 
 39 
 
 1.730 
 
 37 
 
 1.530 
 
 38 
 
 1,690 
 
 37 
 
 2.020 
 
 31 
 
 1,560 
 
 31 
 
 1.210 
 
 33 
 
 1,330 
 
 22 
 
 1,250 
 
 18 
 
 050 
 
 II 
 
 'ruc- 
 tion per 
 additional 
 
 person at 
 
 prices of 
 
 1913 
 
 D 
 
 G 
 
 82,214 
 2,084 
 
 2.2S!) 
 2. 1 1 1 
 
 1,625 
 1.985 
 
 2,5' N 
 
 2.557 
 
 1,815 
 2,874 
 
 a See Table 7 A. 
 
 b Derived by averaging indices representing respectively the hourly wages of building 
 labor, the prices of lumber and building materi lis, and the prices of metals and metal 
 products, using weights 2, 2, and 1 respectively. For data, see Table 7C of this re- 
 port, and Bulletin 269 of the U. S. Bureau of Labor Statistics. 
 
 c Derivation described in Sec. 2a. 
 
 d See the lasl column of Table 2A for data from which this is derived. 
 
 The indications are quite clear thai the volume of construction per 
 capita has declined almost steadily throughout the decade and, wore the 
 temporary war construction for 1917 and 1918 omitted from consideration, 
 the building shortage in those years might be found to be considerable. 
 However, the amount of construction work per additional member of the 
 population has not fallen off. It is unfortunate that the paucity of data 
 concerning the construction industry does not permit of more accurate 
 estimates but it is hoped that even these rough approximations may give 
 a general idea of the situation in this important field.
 
 CHAPTER 8 
 
 SUMMARY OF TRANSPORTATION 
 
 The tables which follow combine the data for the various reported 
 branches of transportation and give totals for the whole field. It is believed 
 that such totals may be of interest to those persons who desire to view the 
 situation from its broader aspects. The totals are all obtained by com- 
 bining the similar items in the corresponding tables in the separate reports. 
 
 TABLE 8A 
 
 THE SHARE OF THE ENTREPRENEURS AND OTHER PROPERTY OWNERS 
 IN THE NET VALUE PRODUCT OF THE TRANSPORTATION INDUSTRY a 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 
 Net dis- 
 bursements 
 to entre- 
 preneurs 
 and other 
 property 
 owners 6 
 (Millions) 
 
 Business 
 savings & 
 
 (Millions) 
 
 Total share 
 of entre- 
 preneurs 
 and other 
 property 
 owners 
 (Millions) 
 B + C 
 
 Purchasing power in millions at 
 prices of 1913 of 
 
 Year 
 
 Net dis- 
 bursements 
 to entre- 
 preneurs 
 and other 
 property 
 owners & 
 
 Business 
 savings b 
 
 Total share 
 of entre- 
 preneurs 
 and other 
 property 
 owners 
 E + F 
 
 1909 
 
 1910 
 
 1911 
 
 1912 
 
 1913 
 
 1914 
 
 1915 
 
 1916 
 
 1917 
 
 1918 
 
 $879 
 
 974 
 
 1,013 
 
 1,054 
 
 1,107 
 1,107 
 1,097 
 1,157 
 
 1,192 
 1.120 
 
 $244 
 257 
 167 
 170 
 
 91 
 
 24 
 
 261 
 
 453 
 
 363 
 
 157 
 
 $1,124 
 1.231 
 Liso 
 1,224 
 
 1,198 
 1,131 
 1 ,359 
 1,611 
 
 1 ,555 
 
 1,277 
 
 $904 
 
 987 
 
 1,019 
 
 1,054 
 
 1,107 
 1,095 
 1,102 
 1,077 
 
 991 
 
 SI 7 
 
 $265 
 271 
 178 
 173 
 
 91 
 
 24 
 
 262 
 
 380 
 
 250 
 107 
 
 $1,170 
 1,258 
 1,196 
 1,227 
 
 1,198 
 1,119 
 1,363 
 1,456 
 
 1,241 
 924 
 
 a Includes Railways, Switching and Terminal Cos., Express Cos., Street and Electric 
 Railways, Electric Light and Power Plants, Telegraphs, Telephones, Transportation 
 by Water, and the Pullman Co. 
 
 b Aggregate of similar items in separate industrial reports. 
 
 A study of Tables 8A, 8B, and 8C makes it clear that while, for the owners 
 of transportation enterprises, 1915 and 1916 were relatively prosperous 
 years, 1917 showed a marked falling off in their gains and 1918 was dis- 
 
 116
 
 SUM M A R Y OF TRA N S 1 'ORTATIOX 
 
 117 
 
 TABLE 8B 
 
 THE SHAKE OF THE EMPLOYEES IX THE NET VALUE PRODUCT OF THE 
 
 TRANSP< >RTATII ).\ 1 X DUSTRY " 
 
 A 
 
 B 
 
 C 
 
 D 
 
 Year 
 
 The total ne1 
 
 value product b 
 
 (Millions) 
 
 Total share of 
 the employees '> 
 
 (Millions) 
 
 Per cent of net 
 
 value product 
 
 paid to employees 
 
 as compensation 
 
 for services 
 
 100 c 
 
 B 
 
 1909 
 
 $2,765 
 3,029 
 3,069 
 3,249 
 
 3,336 
 
 3.170 
 3,428 
 
 4,028 
 
 4,539 
 5,232 
 
 $1,611 
 1.798 
 l.ss'.l 
 2,025 
 
 2,138 
 2,040 
 
 2,069 
 2.117 
 
 2. '.is. - . 
 
 59.3 
 
 1910 
 
 59.4 
 
 1911 
 
 1912 . 
 
 61.5 
 62 . 3 
 
 1913 
 
 1914. 
 
 64.1 
 
 61.4 
 
 1915 
 
 1916 
 
 1917 
 
 1918 
 
 1919 
 
 60. 1 
 
 60.0 
 
 65.8 
 75.6 
 
 a For industries included see Table 8A, note (a). 
 
 b Aggregate of similar items in separate industrial reports. 
 
 tinctly the worst year of the decade. Currency inflation, coupled with 
 rate regulation, was presumably largely responsible for this state of affairs. 
 On the other hand, in 1915 the percentage of the net value product 
 going to the employees fell below normal while the purchasing power of 
 their average annual earnings did likewise. By 1918, however, this per- 
 centage had risen far above the average level for the decade and the pur- 
 chasing power of the average earnings had also increased to a figure dis- 
 tinctly higher than that for any preceding year of the period.
 
 118 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 8C 
 
 THE AVERAGE ANNUAL EARNINGS PER EMPLOYEE ATTACHED TO THE 
 
 TRANSPORT ATK )N INDUSTRY c 
 
 A 
 
 B 
 
 C 
 
 D 
 
 Average an- 
 nual earnings 
 per employee 
 
 B -=- C 
 
 E 
 
 F 
 
 Year 
 
 Total share 
 of the em- 
 ployees" 6 
 
 (Millions) 
 
 Number of 
 employees 
 normally at- 
 tached to the 
 transporta- 
 tion field & 
 (Thousands) 
 
 Index of prices 
 
 of goods 
 
 bought by 
 
 manual and 
 
 clerical 
 
 workers 
 
 .955 
 
 .978 
 .984 
 .994 
 
 1.00 
 1.01 
 1.03 
 1.10 
 
 1.29 
 
 1.58 
 
 Purchasing 
 power of aver- 
 age annual 
 earnings per 
 employee 
 D ^E 
 
 1909 . . . 
 
 1910 . . . 
 
 1911 . . . 
 
 1912 . . . 
 
 1913 . . . 
 
 1914 .. . 
 
 1915 . . . 
 
 1916 . . . 
 
 1917 .. . 
 
 1918 . . 
 
 $1,641 
 1,798 
 1,889 
 2,025 
 
 2,138 
 2,040 
 
 2,069 
 2,417 
 
 2,985 
 3,956 
 
 2,499 
 2,614 
 2,709 
 2,768 
 
 2,805 
 
 2,828 
 2,846 
 
 2,S72 
 
 2,933 
 
 3,075 
 
 S 657 
 
 CSS 
 
 697 
 731 
 
 762 
 721 
 
 727 
 842 
 
 1,017 
 1.286 
 
 $688 
 703 
 709 
 736 
 
 762 
 714 
 706 
 765 
 
 789 
 814 
 
 a See Table 8B, Column C. 
 
 b Aggregate of similar items in separate industrial reports. 
 
 c For industries included see Table 8 A, note (a). 
 

 
 CHAPTER 9 
 STEAM RAILWAY, SWITCHING AND TERMINAL COMPANIES 
 
 § 9a. Nature of Available Information 
 
 The Interstate Commerce Commission, for a number of years, has 
 required the railways of the country to render annual statements of their 
 business. While the accounts for the large roads (designated as ( 'lass I), 
 are fairly complete for each year, the form of the summary reports for 
 "all roads considered as one system" has changed materially from time 
 to time, making it somewhat difficult to obtain strictly comparable figures. 
 Many of the minor items have been grouped together in these condense 1 
 summaries and, in such instances, it cannot be determined to which cate- 
 gories they should be assigned. The data for the switching and terminal 
 companies are not recorded until recent years. Here and there, items are 
 omitted. Owing to these shortcomings of the data, it is certain that the 
 figures presented herewith contain many inaccuracies. 
 
 Fortunately, however, the major items of interest, namely those record- 
 ing the funded debt, dividends, compensation to employees, additions to 
 physical property, and amounts carried to surplus have been reported 
 each year and presumably the figures are fairly comparable throughout. 
 These items combined apparently constitute at least 95 per cent of the 
 value dealt with. Under these circumstance-, one feels safe in saying that, 
 outside of definite errors ! which may exist in the statistics furnished to the 
 Interstate Commerce Commission, the figures herewith presented are 
 sufficiently accurate to show the main facts desired. A computation, 
 in which an entirely distinct method of approach was used, showed a value 
 product differing by not over two or three per cent from that obtained by 
 the process finally determined upon except in 1909 and L910, years in 
 which the classification of the data was less complete than at later periods. 
 
 § 9b. Method of Utilizing Data 
 
 The theory underlying the selection of the data chosen to represenl the 
 value product of the industry is as follows: The amount carried to surplus 
 is the joint property of the stockholders and constitutes part of the saving 
 made from current earnings. Other items which similarly enter into sav- 
 
 1 The place where error is most Likely is in the amounts recorded as representing the annual 
 surplus. Errors in depreciation accounts give rise to equally large errors in the annual sur- 
 plus. It is impossible to say whether the depreciation allowances are too Large or too small. 
 
 119
 
 120 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 ings are funds set aside to compensate for the original sale of stock below 
 par, and additions made to the sinking fund. These are offset to some 
 extent by bond premiums written off and by receipts from sinking funds 
 accumulated in earlier years. These receipts evidently represent the 
 productivity of the past rather than of the present. The fact that the dis- 
 counts now written off were, in the past, losses to the corporation, does not 
 alter the fact that the assets now cancelling these discounts are part of the 
 current earnings and represent savings for the stockholders which might 
 be paid out in dividends if the directors thought that policy advisable. 
 Sums set aside from earnings for additions and betterments to the physical 
 property have also been included in the share of the stockholders because 
 they likewise represent savings from current income. 
 
 Items classified merely as "Miscellaneous Appropriations from Income" 
 have not been included in the current income for it is assumed that most 
 of this account represents funds set aside to cover losses of one sort or 
 another, due perhaps to depreciation, obsolescence, or bad investments. 
 
 Changes in the designations and classification of various appropriations 
 make it impossible to allocate them correctly. A careful endeavor has been 
 made to include or exclude corresponding items in each year and it is be- 
 lieved that this task has been accomplished with a fair degree of success. 
 The amounts in doubt are too small to invalidate any of the main conclu- 
 sions of this report, even if some of the items have been misplaced. 
 
 The income distributed by the railways in the form of interest and divi- 
 dends is partly derived from inter-corporate payments and partly derived 
 from bond interest and dividends received on the stock of corporations out- 
 side the railway field. Payments from one railway to another should evi- 
 dently be deducted and since, in dealing with other industries, it has been 
 assumed that their dividends and bonds interest have been paid to individ- 
 uals, it would evidently be a duplication again to include this income here. 
 For this reason, all bond interest and dividends received from stocks 
 owned have been deducted from the similar items paid out by the rail- 
 ways. The remainders represent only payments made possible by the 
 operation of railways and do not include returns from the investments of 
 railways in other industries. Salaries and wages paid are evidently individ- 
 ual gains made possible by railway activity and hence must be included. 
 A trivial item appearing in the later accounts is entitled "Uncollectible 
 Revenues." This quantity, in each case, has been assumed to constitute 
 a part of the net value product of the railway field, for it represents a valu- 
 able service received by someone, and this condition is not altered by the 
 fact that the railway company has not been paid therefor. 
 
 Since the year 1915, the Interstate Commerce Commission has included 
 in the Statistics of Railways a summary of the reports of switching and ter-
 
 STEAM RY., SWITCHING AND TERMINAL COS. 
 
 121 
 
 TABLE 9A 
 
 ESTIMATES' OF THE AMOUNTS SAVED FROM CURRENT REVENUES BY THE ST] \M 
 RAILWAY, SWITCHING AND TERMINAL COMPANIES OF THE CONTINENTAL DNITED 
 STATES 
 
 (Millions of Dollars) 
 
 
 Net reduction 
 
 Additions and 
 
 Net addition 
 
 Balance 
 
 :arried 
 
 
 
 
 of security 
 
 betterments to 
 
 to sinking 
 
 Total savings 
 
 
 discounts « 
 
 physical property 
 
 funds'* 
 
 
 
 
 Year 
 
 
 Switch- 
 
 
 Switch- 
 
 
 Switch- 
 
 
 Switch- 
 
 
 Switch- 
 
 
 Rail- 
 
 ing and 
 
 Rail- 
 
 ing and 
 
 Rail- 
 
 ing and 
 
 Rail- 
 
 ing and 
 
 Rail- 
 
 ing and 
 
 
 ways 
 
 termi- 
 nal COS. 
 
 ways 
 
 termi- 
 nal cos. 
 
 « ays 
 
 termi- 
 nal i 
 
 ways 
 
 termi- 
 nal cos. 
 
 ways 
 
 termi- 
 
 Ending 
 
 
 
 
 
 
 
 
 
 
 
 June 30 
 
 
 
 
 
 
 
 
 
 
 
 1909. . . 
 
 20. 3'/ 
 
 c 
 
 LM 9* 
 
 c 
 
 7.2o 
 
 c 
 
 79* !•'■ 
 
 c 
 
 131.6 
 
 
 1910. . . 
 
 26. 7d 
 
 c 
 
 57 Si 
 
 c 
 
 9 . 5 To 
 
 c 
 
 122.0' 
 
 c 
 
 216 
 
 
 1911. . . 
 
 18. 7 d 
 
 c 
 
 62 3« 
 
 c 
 
 l:;. '.'•/■ 
 
 c 
 
 23 •"•■ 
 
 c 
 
 1 Is 1 
 
 
 191-' 
 
 17. 6 c 
 
 c 
 
 44. 2e 
 
 c 
 
 11.'/' 
 
 c 
 
 ii 0< 
 
 c 
 
 7'i 5 
 
 
 1913. . . 
 
 32.1/ 
 
 c 
 
 66 1 ' 
 
 c 
 
 30.6/ 
 
 c 
 
 32 7/ 
 
 c 
 
 161 8 
 
 
 1914 
 
 15 5/ 
 
 c 
 
 tn 5/ 
 
 c 
 
 11 5/ 
 
 c 
 
 -■121.1/ 
 
 c 
 
 :,<\ 6 
 
 
 1915. . . 
 
 17 9fl 
 
 0.07 
 
 30.7(7 
 
 0.2»» 
 
 10 1.7 
 
 3 m 
 
 36 7 7 
 
 I 2 m 
 
 21 7 
 
 1 8 
 
 1910. . . 
 
 25. 9h 
 
 0.22 
 
 76 5* 
 
 0.2n 
 
 is 0* 
 
 7 n 
 
 191.4» 
 
 6. 0« 
 
 311.8 
 
 7 1 
 
 Calendar 
 
 
 
 
 
 
 
 
 
 
 
 1916 
 
 21.7 i 
 
 O.oi 
 
 84 1 i 
 
 3> 
 
 H 8 « 
 
 ii 8' 
 
 188. 1» 
 
 3 2i 
 
 309 n 
 
 4.8 
 
 1917. . . 
 
 19.8* 
 
 0.5« 
 
 95 1- 
 
 1 0« 
 
 10 8 V 
 
 (is 
 
 151 , "' 
 
 —1.6 s 
 
 280 t 
 
 II 5 
 
 1918*. 
 
 G.8t 
 
 O.Gf 
 
 43.1.; 
 
 0.3» 
 
 9 7.'/ 
 
 6t> 
 
 53 5 " 
 
 2 1i' 
 
 113 1 
 
 :; 8 
 
 R = Interstate Commerce Commission — Statistics of Railwa 
 
 ""Amortization of Discount" plus "Stork and Debt Discount Extinguished" minus "l: 
 Premium on Funded Del it." 
 
 6 "Appropriation to Sinking and Other Reserve Fun Is" minus "Income from Sinking and Other Re- 
 serve Funds." 
 
 c Item not given in reports of Interstate Commerce Commission. 
 
 d Assumed to hear the .same ratio as in 1912 (viz. .0642) to the sum of "Surplus" and "Dividends Paid." 
 
 e R. 1912, pp. 51-52. 
 
 /R. 1914. p. 52. 
 
 a R. 1915, p. 49. 
 
 h R. 1916 (fiscal year), p. 51. 
 
 * R. 1910 (calendar year), p. 53; figures for switching and terminal companies arrived at by deducting 
 railway data from combined figures. 
 
 i Item for Class I Operating and Non-Operating roads multiplied by 1.013, the ratio for 1910 of the 
 total to Class I for this item. 
 
 ft R. 1909, ]>. 72. 
 
 ' R. 1910, p. 69. 
 
 m H. 1915, p. 58. 
 
 " R. 1916 (fiscal year), p. 00. 
 
 o Assumed to vary in same proportion from year 1910 as does the sum of "Surplus" and "Dividi nds 
 Paid." 
 
 /' Equals "Sinking and redemption funds chargeable to income" plus ^ppri priati ins for other re- 
 serves." 
 
 9 R. 1911, p. 53. 
 
 r Includes "Advances to weak lines to cover deficits." 
 
 s R. 1917, pp. 36-37. 
 
 ' "Corporate" statistics for roads under Federal control combined with figures I mtrolled road-. 
 
 « Item for Class I Operating and N'on » Operating roads multiplied bj 0.97, the ratio in 1916; see Note « . 
 
 v R. 191.S, pp. in 17. 
 
 i" 97% of 159.3 the increase in "Balance" during the year of Class 1 Operating Operating 
 
 roads. This is the ratio in 1916: Classes n and III both showing decreases in assets. 
 
 x Net corporate income total appropriations for year; after 1910, equals the balance at the end of the 
 year less the balance at the beginning of the yi 
 
 V The ratio of this item for all roads to the same item for ( llass I < (perating and Non-( Operating roads 
 was 1.028 in 1916. The Item for this year has been multiplied by that ratio to obtain the amount here 
 entered. 
 
 2 The item for this year is that for Class I Operating and N'on ' Ipi rating road-. No adjustment has 
 been made, for the 1916 records show the appropriations by other classes of road- to have been negligible 
 
 * The ratio in 1916 of this item for all to the same item for Class I Operating and Non-Operating roads 
 was 1.051; hence the item for this year for Class I road- has been multiplied by this ratio. 
 
 t Item for Class I Operating and Non-Operating roads multiplied by 1.003, the ratio for 1910 of the 
 total to Class I for this item.
 
 m 
 
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 F-t cc "is ^ .a .a
 
 1 2 1 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 minal companies. The total value product of this field is only about two 
 per cent as large as that of the railways — hence, it has been deemed suffi- 
 ciently exact to make the adjustment for the years preceding 1915 by the 
 simple method of multiplying the railway figures by appropriate factors 
 derived form a study of the ratios in 1915 and 1916. 
 
 § 9c. The Net Value Product and Its Distribution 
 
 The estimates derived from the reports of the Interstate Commerce 
 Commission through the application of the theories and methods just 
 described are presented in Tables 9A, 9B, 9C, 9D, and 9E. 
 
 Table 9E shows the recorded amounts going to each of the principal 
 classes of recipients during the fiscal years from 1909 to 1916, and also 
 estimates for the calendar years from 1909 to the latest report published 
 by the Interstate Commerce Commission. These estimates have been 
 made simply by averaging the data for the adjoining fiscal years. This 
 process tends to smooth out to a degree the irregularities due to cyclical 
 or chance causes, but it makes the direction of the trend more evident. 
 
 Perhaps the most significant column in Table 9E is the last. This 
 shows that the employees have been receiving from three-fifths to three- 
 fourths of the net value product of the industry, the fraction varying 
 materially from year to year but indicating no definite trend until 1917 
 when a sharp upward movement begins and continues through 1918. 
 
 § 9d. The Physical Output per Employee 
 
 Table 9F illustrates the development of important phases of railway 
 activity. The data have been estimated for the calendar years in order to 
 make them comparable with other fields of industry. 
 
 X
 
 STEAM RY., SWITCHING AND TERMINAL COS. 
 
 1 25 
 
 TABLE 9C 
 
 THE ESTIMATED SHARE OF EMPLOYEES IX THE ANNUAL VALUE PRODUCT OF THE 
 STEAM RAILWAY, SWITCHING, AND TERMINAL COMPANIES O] 1 III. < < (NTINENTAL 
 UNITED STATES 
 
 (Millr .: D illars) 
 
 
 Compensation paid for services 
 
 Estimated 
 
 Relief and 
 
 
 
 
 Switching and terminal 
 
 
 I Estimated 
 
 
 
 . . impanies 
 
 Esti- 
 
 payments to 
 
 pensions 
 
 Year 
 
 
 
 mated 
 
 employees 
 
 for em- 
 
 total share 
 
 
 
 
 
 
 Railways 
 
 
 Ratio t i 
 
 Esti- 
 mate 1 
 
 1, all 
 
 for personal 
 
 ployees ™ 
 
 of em- 
 
 
 
 Amounts 
 
 R. R. 
 
 
 injuries o 
 
 
 ployees 
 
 
 
 reporte 1 
 
 compen- 
 
 panics 
 
 
 
 
 
 
 
 sation 
 
 amount J 
 
 
 
 
 
 Ending 
 
 
 
 
 
 
 
 
 
 June 30 
 
 
 
 
 
 
 
 
 
 1909. . 
 
 S 988fl 
 
 
 .02 Me 
 
 M 
 
 SI, 01 2 
 
 S 9m 
 
 S2»i 
 
 024 
 
 1910. . 
 
 1.1440 
 
 
 0246« 
 
 28 
 
 1.172 
 
 11 a 
 
 3» 
 
 1,185 
 
 1911. . 
 
 1,2ns -/ 
 
 
 ,0248e 
 
 30 
 
 1,238 
 
 
 ■■',!' 
 
 1,2 
 
 1912. . 
 
 1,252!/ 
 
 
 0250« 
 
 31 
 
 1,284 
 
 13 a 
 
 
 1,300 
 
 1913. . 
 
 1,381ft 
 
 
 0252 c 
 
 35 
 
 1,416 
 
 14 r 
 
 [r 
 
 1,433 
 
 1914. . 
 
 1,381 i 
 
 
 0254 e 
 
 35 
 
 1,416 
 
 1 5 ? 
 
 4* 
 
 1,436 
 
 1915. . 
 
 1,173/ 
 
 36. la 
 
 0256 d 
 
 30 
 
 1,20 1 
 
 12* 
 
 :>' 
 
 ! 220 
 
 1916. . 
 
 1,4016 
 
 36 46 
 
 11259'/ 
 
 36 
 
 1.440' 
 
 1 
 
 
 1,458 
 
 Calendar 
 
 
 
 
 
 
 
 
 
 1910. . 
 
 1.507 c 
 
 39.8c 
 
 . 02 , ' 
 
 10 
 
 1,547 
 
 1 1 -■ 
 
 
 1.500 
 
 1917. . 
 
 1,917 k 
 
 
 0264 e 
 
 51 
 
 1,9 18 
 
 16a: 
 
 i V 
 
 1.990 
 
 19 IS. . 
 
 2,0702 
 
 
 ,0264e 
 
 70 
 
 2,740 
 
 15 
 
 8 
 
 2.703 
 
 R ■= Interstate Commerce Commission — S • 
 
 a R. 1915, I). 31. 
 
 b R. 1916, p. lo. 
 
 c R. 1910, pp. 32-34. 
 
 <1 Computed. 
 
 e Assumed to vary along a smooth curve. 
 
 /Compensation to railway employees multiplie 1 by assume 1 ratios. 
 
 9 R. 1912, p. 29. 
 
 ft R. 1914, p. 29. Data adjusted for absence of Class III roads on basis o p iportion of v* 
 by i hose roads in 1914. 
 
 i R. 1914, p. 29. 
 
 5 R. 1915, p. 31; wages adjusted by assuming that tin' missing Class III wages are of the same relative 
 importance as Class III operating expenses. 
 
 k 1918 Report of Railway Wage Commission, p. 102. 
 
 I Last figure correol — original data carried to more decimals. 
 
 m ]{. 1909, pp. 75-79. 
 
 " R. 1910, pp. 73-70. 
 
 o iv ; of total paid fur all injuries to persons; assumed that employees get this amount, 
 persons 25% and attorneys 30%. The last amount is not i he pro lucl ol tic- railway in lustry, according 
 to our classification. 
 
 P H. 1911, pp. 5S-00. 
 
 1912, pp. 56-58. 
 
 1913, pp. 51 57. 
 {. 1911. ,ip. 59-61. 
 
 1 R. 
 '■ R. 
 » R. 
 
 ' R. 1915, pp. 05-70. 
 ■ti R. 1916, fiscal year, pp. 07 89 
 v R. 1910 (Calendar year), pp. 66 70. 
 "' Data for Class I roads only— others do not rep >rt; amounts doubtless negligible. 
 
 X R. 1017, pp. 10-43; figures lor Cla<s 1 roads adjuste 1 on basi i I'M 1 '! ratios to represent all roa Is. 
 
 V If. 1917, p. 13. 
 
 s R. 1918, p. 21; figures for Class I roads multiplied by 1.025, the 1910 ratio of wages on all roa 
 wages on ('hiss I roads only. 
 
 * Figures for Class I roads multiplied by 1.020 the ratio in 1916 -.1 all road- • I roads only. 
 
 R. 1918, pp. 55-59.
 
 12G 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 9D 
 
 MISCELLANEOUS ITEMS l\ THE \ \l.l K PRODUCT OF THE PRIVATELY 
 OPERATED RAILWAY, SWITCHING, AND TERMINAL COMPANIES OF 
 THE CONTINENTAL UNITED STATES 
 
 (Millions of Dollars) 
 
 
 Uncollectible revenues reported 
 
 Damages 
 paid to non- 
 employees 
 for personal 
 injuries 
 
 Estimated 
 
 total of 
 miscellane- 
 ous items 
 
 Year 
 
 Switching & 
 
 terminal 
 
 companies 
 
 Railways 
 
 Estimated 
 
 total, all 
 
 companies 
 
 Ending 
 June 30 
 
 1909 
 
 1910 
 
 1911. 
 
 1912. 
 
 1913 
 
 1914.. 
 1915.. 
 1916 
 Calendar 
 1916 
 1917 
 1918. 
 
 .006' 
 . 006 m 
 
 .007" 
 .005P 
 .003* 
 
 0.7b 
 
 0.8" 
 
 0.8" 
 0.7p 
 0.6' 
 
 0.69 
 
 0.0 9 ' 
 
 0.79 
 0.79 
 
 0.8 9 
 0.89 
 0.7 
 0.8 
 
 0.8 
 0.7 
 0.6 
 
 5.2a 
 
 5.9& 
 6.5 c 
 7 .Qd 
 
 7.6* 
 8.0/ 
 6.89 
 6.9'' 
 
 7.5* 
 
 8.7i 
 
 8.3* 
 
 5.8 
 6.5 
 
 7.2 
 
 7.7 
 
 8.4 
 8.8 
 7.5 
 
 7.7 
 
 8.3 
 9.4 
 8.9 
 
 R. = Interstate Commerce Commission— 
 
 a R. 1909, pp. 75-79. 
 
 b R. 1910, pp. 73-76. 
 
 cR. 1911, pp. 58-60. 
 
 d R. 1912, pp. 56-5S. 
 
 c R. 1913, pp. 54-57. 
 
 /R. 1914, pp. 59-61. 
 
 o R. 1915, pp. 65-70. 
 
 h R. 1916 (fiscal year), pp. 67-89. 
 
 » R. 1916 (calendar year), pp. 66-76. 
 
 i R. 1917, pp. 40-43, figures for Class I 
 
 roads adjusted on basis of ratio in 
 
 1916. 
 
 Statistics of Railways. 
 * R. 1918, pp. 55-59, figures for Class I 
 roads multiplied by 1.020, the rati 3 
 in 1916 of all roads to Class I roa Is. 
 l R. 1915, p. 58. 
 m R. 1916 (fiscal year), p. 63. 
 » R. 1916 (fiscal year), p. 51. 
 ° R. 1916 (calendar year), p. 53. 
 v R. 1917, pp. 34-36. 
 9 Roughly estimated. 
 T Estimated at 25% of all amounts paid 
 
 for personal injuries. 
 ■ R. 1918, p. 46. 
 t R. 1918, p. 43. 
 
 ,
 
 p 
 < 
 
 d 
 
 i— i 
 
 x 
 
 Q 
 
 H 
 
 i-H 
 
 r* 
 
 ►— 
 
 - 
 
 K 
 - 
 
 O 
 - 
 
 o 
 
 - 
 
 - 
 
 "A 
 H 
 <! 
 Eh 
 
 02 
 
 Q 
 H 
 H 
 
 l-H 
 <i 
 
 H 
 
 H * 
 
 R c 
 ° 
 
 rH to 
 
 S -| 
 
 O I 
 
 ■a 
 
 
 Q 
 
 H 
 
 
 K 
 
 Per cent 
 of net 
 value 
 
 product 
 going 
 to em- 
 ployees f 
 
 59.5 
 60.1 
 
 62.4 
 
 03.7 
 
 65.8 
 65.7 
 
 60.9 
 60.3 
 
 i- — 
 
 ■- i- 
 'O t> 
 
 
 
 Estimated 
 
 total net 
 
 annual value 
 
 product d 
 
 LO 01 
 
 / © 
 
 rH of 
 
 — — . 
 
 1—1 — 
 DC Tl 
 
 — — 
 
 ~ i N 
 
 CO 
 
 - CO 
 cr. -. 
 
 — IO 
 
 of c i 
 
 2,984 
 3,570 
 
 1,702 
 2,010 
 
 2,049 
 2,045 
 
 2,246 
 
 2,117 
 
 1,925 
 2,470 
 
 
 
 Share of 
 employees c 
 
 o -* 
 H CM 
 
 t^ cc 
 01 M 
 
 — f 
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 — co 
 
 to 
 
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 CO ~ 
 
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 Receipts and 
 
 savings 
 
 combined 
 
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 1,023 
 
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 t^ — 
 
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 Net dividends 
 
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 interest 
 
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 C3 ^ « "53 V **n ai
 
 L28 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 9F 
 
 MEASURES OF ACTIVITY OF STEAM RAILWAY, SWITCHING, AND 
 TERMINAL COMPANIES ESTIMATED FOR THE CALENDAR YEARS 
 
 (Data for the Adjoining Fiscal Years a Averaged) 
 
 
 Wages and 
 salaries paid 
 
 Number of em- 
 ployees = actually 
 
 Revenue freight 
 carried 
 
 Passenger traffic 
 (Billions of 
 
 
 employees 
 
 at work 
 
 (Billions of 
 
 Year 
 
 (Mil 
 
 ions) 
 
 (Thousands) 
 
 ton miles) 
 
 passeng 
 
 er nines; 
 
 
 Year 
 
 Calen- 
 dar year 
 
 Year 
 
 Calen- 
 dar year 
 
 Year 
 
 Calen- 
 
 Year 
 
 Calen- 
 
 
 ending 
 June 30 b 
 
 ending 
 June 30 
 
 ending 
 June 30 
 
 219/ 
 
 dar 
 year 
 
 237 ' 
 
 ending 
 June 30 
 
 dar 
 year 
 
 1!);)'.). 
 
 $1,012 
 
 $1,092 
 
 1,540 d 
 
 1,641 
 
 29 . 1 / 
 
 30.7' 
 
 1910. 
 
 1,172 
 
 1,205 
 
 1,742-/ 
 
 1,742 
 
 255/ 
 
 25 U 
 
 32 . 3 i 
 
 32.8' 
 
 1911. . 
 
 1,238 
 
 1,261 
 
 1,742 « 
 
 1,750 
 
 254/ 
 
 259' 
 
 3 5.2/ 
 
 33.2' 
 
 1912. . 
 
 1 ,284 
 
 1,350 
 
 1,759'/ 
 
 1,817 
 
 264/ 
 
 234' 
 
 33.1/ 
 
 34.1' 
 
 1913 
 
 1,416 
 
 1,410 
 
 1,876/ 
 
 1,814 
 
 301/ 
 
 297 ' 
 
 31.6/ 
 
 35.4' 
 
 1914. 
 
 1,416 
 
 1,310 
 
 1,753'' 
 
 1,604 
 
 288/ 
 
 233 ' 
 
 35.3/ 
 
 34.0' 
 
 1915. 
 
 1,203 
 
 1,322 
 
 1,456/ 
 
 1.575 
 
 274 * 
 
 309 ' 
 
 31.8* 
 
 33.2' 
 
 1916. 
 
 1,440 
 
 1,547 1> 
 
 l,695ff 
 
 1,744'' 
 
 340 * 
 
 385 '■ 
 
 33 . 6 * 
 
 35 . * 
 
 1917. . 
 
 
 1,9686 
 
 
 1,834 i 
 
 
 397^' 
 
 
 40.0^ 
 
 1918. . 
 
 
 2,741'' 
 
 
 L.937™ 
 
 
 409 * 
 
 
 43. 2k 
 
 R. = Interstate Commerce Commission — Statistics of Railways. 
 
 a Years ending June 30. 
 
 6 See Table 9C. 
 
 f In 1915 and 1916, the switching and terminal companies employed about 2.4',', 
 as many men as the railways; hence for other years the number of railway employees 
 has been multiplied by 1.024. 
 
 -/ Statistical Abstract of U. S. for 1919, p. 34 I. 
 
 « R. 1911, p. 26. 
 
 / R. 1913, p. 23 and 1915, p. 26. Adjusted to include Class III roads on the basis 
 of the 1912 ratio. 
 
 a R. 1916 (fiscal year), pp. 25-26. 
 
 h R. 1916 (calendar year), pp. 25-26. 
 
 » R. 1917, p. 19. 
 
 / Statistical Abstract of U. S. for 1919, p. 797. 
 
 * R. 1918, p. 37. 
 
 ' Average of figures for two overlapping fiscal years. 
 
 m R. 1918, pp. 20-22. 
 
 There has been much discussion concerning the growing efficiency or 
 inefficiency of railway labor during the last decade. Certain facts concern- 
 ing this issue have been brought out by our investigation and are presented 
 in Table 9G. 
 
 This Table shows a very marked growth in the output per employee, 
 especially in the amount of freight transported, the increase being just 
 about fifty per cent from 1909 to 1917. Whether this change was the result 
 of inventive genius, a better supply of equipment, more effective manage- 
 ment, or greater diligence on the part of the employees, is a subject still 
 open for investigation. The fact is clear, however, that in, 1917, the aver- 
 
 ,
 
 STEAM RY., SWITCHING AND TERMINAL COS. 
 
 129 
 
 TABLE 9G 
 
 THE AVERAGE OUTFIT PER EMPLOYEE ACTUALLY AT WORK FOR 
 STEAM RAILWAY, SWITCHING, AND TERMINAL COMPANIES COM 
 
 BINEDa 
 
 (Estimates for ( lalendar Yi 
 
 Calen- 
 dar 
 year 
 
 1909. 
 1910. 
 1911. 
 1912. 
 1913. 
 
 1914. 
 1915. 
 1916. 
 1917. 
 1918. 
 
 Number of 
 
 ton miles of 
 freight per 
 employee 
 
 144,400 
 140,000 
 147,91)1) 
 156,100 
 103.500 
 
 176,300 
 1911,01)0 
 209,100 
 216,600 
 
 211,000 
 
 Passenger 
 
 miles pet- 
 employee 
 
 IS, 720 
 18,810 
 18,950 
 18,750 
 19,500 
 
 21, ISO 
 21,050 
 20,090 
 21,810 
 22,310 
 
 Value product 
 
 per employee 
 
 at prices 
 
 current in 
 
 given year 
 
 $1,131 
 1,165 
 1,169 
 1,181 
 1,202 
 
 1,260 
 1,396 
 1,490 
 1,627 
 1,843 
 
 [ndex of 
 prices of rail- 
 service '< 
 Base, 191 1 
 
 102.3 
 102.2 
 102.0 
 
 100.7 
 100.0 
 
 100.0 
 99.3 
 
 98 5c 
 
 99 7c 
 117.9c 
 
 Value product 
 per employee 
 at prices 
 of 1914'^ 
 
 $1,106 
 
 l.l 1) 
 l.l 11 
 1,173 
 1,202 
 
 1,260 
 1,406 
 1,513 
 1,632 
 1,563 
 
 a For sources of data, see Tables 9E and 9F. The figures here given are obtained 
 by division of the other items by those in the fifth column of Table 9F. 
 
 6 The price index here given is proportional to the combined value of 10 freight ton 
 miles and 1 passenger mile. This ratio represents the approximate proportion of eac i 
 factor in the output of 1917, and is fairly representative for all years. Data for pairs 
 of fiscal years have been averaged to obtain estimates for calendar years. See Statistical 
 Abstract' of U. S. for 1919, p. 332. 
 
 c Interstate Commerce Commission, Statistics of Railways, 19 IS, p. 37. 
 
 d Value product at current prices divided by the index of prices of railway service. 
 
 age railway employee moved much more traffic and obtained a materially 
 larger value product for the industry than he did in 1909, and the increase 
 in the value product was real and not merely a reflection of increase I 
 prices for the service furnished. 
 
 § 9e. Growths of Railway Service and of Population Compared 
 
 Another interesting comparison is that of the relative growths of railway 
 service and of population. There has been great complaint concerning a 
 shortage of railway equipment and service. Is this complaint due to the 
 fact that we have less service per capita than formerly or does it mean thai 
 our demand has increased? 'Fable 9H gives a fairly definite answer to this 
 query. 
 
 It is clear that, from 1009 to 1014, the growth of railway service jusl 
 about kept pace with population but that, since 1915, the supply of rail- 
 way service has far outstripped the growth in numbers of people, with the 
 result that, in 1017, the output was nearly fifty per cent larger than in
 
 130 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 9H 
 
 THE PER CAPITA SERVICE RENDERED TO THE PEOPLE OF THE CON- 
 TINENTAL UNITED STATES BY THE RAILWAY, SWITCHING, AND 
 TERMINAL COMPANIES a 
 
 Calendar 
 year 
 
 Estimated 
 
 population of 
 
 the Continental 
 
 United States 
 
 (Thousands) b 
 
 Freight 
 
 carried; 
 
 Ton miles 
 
 per capita 
 
 Passenger 
 
 miles 
 
 traveled per 
 
 capita 
 
 Net value produced per 
 capita by railway industry 
 
 At prices 
 current in 
 given year 
 
 $20.54 
 22.00 
 21.82 
 22.51 
 22.42 
 
 20.38 
 21.89 
 25.54 
 28 . 96 
 34.27 
 
 At prices 
 of 1914 c 
 
 1909 
 1910 
 1911 
 1912 
 1913 
 
 1914 
 1915 
 1916 
 1917 
 1918 
 
 90,370 
 92,229 
 93,811 
 95,338 
 97,278 
 
 99,194 
 100,428 
 101,722 
 103,059 
 104,182 
 
 2,621 
 
 2,758 
 2,760 
 2,976 
 
 3,050 
 
 • 
 
 2,851 
 3,075 
 3,585 
 3,853 
 3.924 
 
 340 
 355 
 354 
 357 
 364 
 
 343 
 330 
 344 
 
 :;ss 
 415 
 
 $20 . 08 
 21.53 
 21.39 
 22.35 
 22.42 
 
 20.38 
 21.93 
 25.93 
 29.05 
 
 29.07 
 
 
 " For origin of data, see Tables 9E and 9F. 
 
 b Read from a smooth curve based upon Census figures. 
 
 c Figures in preceding column divided by price index shown in Table 9G. 
 
 1914. If the supply of railway service is inadequate, it appears, therefore, 
 that this condition arises from an increasing demand and not from a 
 diminishing supply. 
 
 § 9f. The Purchasing Power of the Shares in the Net Value Product 
 
 Table 9E showed how the net value product has been divided among the 
 principal classes of claimants thereto, but the absolute amounts there 
 recorded have relatively little significance, because of the radical changes 
 in the purchasing power of money which have taken place during the last 
 decade. In order to give meaning to these figures, it is necessary to 
 divide them by appropriate price indices. In Table 91, this process has 
 been applied to the compensation of the employees and in Table 9J, the 
 share of the security holders and other property owners is similarly dealt 
 with. The price indices employed for this purpose are those described in 
 §§ 2b and 2c. The reasons for their use have been stated in § Ik and need 
 not be repeated here. 
 
 S
 
 STEAM RY, SWITCHING AND TERMINAL COS 
 
 TABLE SI 
 
 131 
 
 THE NUMBER OF EMPLOYEES AND THE AVERAGE COMPENSATION 
 RECEIVED BY THEM FROM RAILWAYS, SWITCHING, AND TERMINAL 
 COMPANIES 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 H 
 
 
 Estimated 
 
 Estimated 
 
 Estimated 
 
 
 Average 
 
 Average in- 
 
 Average 
 
 
 number of 
 
 fraction of 
 
 number of 
 
 Total com- 
 
 dex of prices 
 
 annual 
 
 Calen- 
 
 employees 
 
 full time 
 
 employees 
 
 pensation 
 
 annual 
 
 of goods 
 
 compen- 
 
 dar 
 
 actually 
 
 that 
 
 attached to 
 
 paid to 
 
 <■< )!ii[ nata- 
 tion per 
 
 employee 
 E 4-D 
 
 boughl by 
 
 - :t ion at 
 
 year 
 
 at work a 
 
 average 
 
 industry 
 
 employees* 
 
 manual and 
 
 the prices 
 
 
 (Thou- 
 
 worker was 
 
 (Thousands) 
 
 (Millions) 
 
 clerical 
 
 of 1913 
 
 
 sands) 
 
 employed b 
 
 B -f- C 
 
 
 workers d 
 
 F -^-G 
 
 1909. . 
 
 1,641 
 
 .962 
 
 1,705 
 
 $1,105 
 
 S 648 
 
 .955 
 
 $679 
 
 1910. . 
 
 1,742 
 
 .981 
 
 1,77.'» 
 
 1,219 
 
 687 
 
 .978 
 
 702 
 
 1911. . 
 
 1,750 
 
 .963 
 
 1,818 
 
 1.277 
 
 7D2 
 
 .984 
 
 713 
 
 1912. . 
 
 1,817 
 
 .990 
 
 1,834 
 
 1,367 
 
 745 
 
 .994 
 
 750 
 
 1913.. 
 
 1,814 
 
 .988 
 
 1,836 
 
 1,434 
 
 781 
 
 1 . 000 
 
 781 
 
 1914. . 
 
 1,604 
 
 .873 
 
 1,838 
 
 1,328 
 
 723 
 
 1 01 
 
 716 
 
 1915 
 
 1,575 
 
 . 856 
 
 1,840 
 
 1,339 
 
 72s 
 
 1 03 
 
 707 
 
 1916. . 
 
 1,744 
 
 .947 
 
 1,842 
 
 1,566 
 
 850 
 
 1.10 
 
 77:-! 
 
 1917. . 
 
 1,834 
 
 .988 
 
 1,856 
 
 1,990 
 
 1,072 
 
 1.29 
 
 831 
 
 1918. . 
 
 1 ,937 
 
 .989 
 
 1,958 
 
 2,763 
 
 1,411 
 
 1.58 
 
 893 
 
 a See Table 9F. 
 b See § 2d. 
 c See Table 9E. 
 d See Table 2C. 
 
 The figures in Table 91 show that the average annual compensation 
 paid by railways to their employees has risen materially since 1909, the 
 increase up to 1918, when measured in purchasing power, amounting to 
 something over thirty per cent. During this period, therefore, the increase 
 in money earnings more than kept pace with the rise in the value of com- 
 modities consumed by the working classes. The facts brought out do not 
 show, however, whether this increase in earning power has resulted from 
 a monopolistic organization of wage earners, from increased efficiency of 
 the wage earners, from an increase in the supply of railway equipmenl as 
 compared to railway laborers, from a general increase in the wage level, or 
 from some entirely different cause. 
 
 The purchasing power of the total share of the security holders increased 
 rather steadily up to 1914, but, since that date has fallen materially, until 
 in 1918, it was smaller than in 1909. This change in the total tells nothing 
 concerning the income per dollar invested. Since, however, it is believed 
 that the total investment in the railway business has been increasing-, it 
 appears that the recent decline in the total income of the security holders 
 must have been accompanied by a considerably greater fall in the returns 
 per unit of investment.
 
 132 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 9J 
 
 THE PURCHASING POWER OF THE ESTIMATED SHARE OF THE SECURITY 
 HOLDERS IN THE VALUE PRODUCT OF STEAM RAILWAYS, SWITCH- 
 ING, AND TERMINAL COMPANIES IN THE CONTINENTAL UNITED 
 STATES 
 
 
 Disbursements to security holders 
 
 Corporate savings 
 
 Calendar 
 year 
 
 Amount 
 
 in 
 dollars d 
 
 Index of 
 prices of 
 articles 
 consumed 
 by wealthy 
 classes" 
 
 Purchas- 
 ing power 
 in terms 
 of prices 
 of 1913 c 
 
 Amount 
 
 in 
 dollars** 
 
 Index of 
 construc- 
 tion costs b 
 
 Value of 
 construc- 
 tion pur- 
 chasable 
 at prices 
 of 1913 c 
 
 1909 
 
 1910 
 
 1911 
 
 1912 
 
 1913 
 
 1914 
 
 1915 
 
 1916 
 
 1917 
 
 1918 
 
 $568 
 633 
 664 
 650 
 
 685 
 
 702 
 680 
 709 
 704 
 
 682 
 
 .973 
 
 .988 
 
 . 995 
 
 1.009 
 
 1.000 
 
 1.010 
 .996 
 1.074 
 1.198 
 1.364 
 
 $584 
 640 
 667 
 650 
 685 
 
 695 
 683 
 661 
 
 587 
 500 
 
 $177 
 171 
 100 
 
 88 
 20 
 
 —17 
 172 
 314 
 281 
 117 
 
 .927 
 .953 
 .945 
 .983 
 1.000 
 
 ■ 960 
 
 .992 
 
 1.194 
 
 1 473 
 
 1.499 
 
 $191 
 
 179 
 
 105 
 
 90 
 
 20 
 
 —18 
 173 
 263 
 191 
 
 78 
 
 a See Table 2E, based upon families spending $25,000, each annually. 
 
 b For derivation see Table 5L, note g. 
 
 c Amount in dollars divided by the price index. 
 
 d See Table 9E. 
 
 ,
 
 CHAPTER 10 
 PULLMAN CAR TRANSPORTATION 
 
 § 10a. Available Information 
 
 This adjunct of the railway industry has been covered in moderate 
 detail by the Interstate Commerce Commission in its statistics for each 
 year since 1910. The reports for dates preceding 1916 are for fiscal years; 
 hence, in order to reduce the information to a calendar year basis, the sim- 
 ple, though somewhat inaccurate, expedient of averaging the items for 
 the two overlapping fiscal years has been adopted. For 101(5 and later 
 periods, the accounts have been kept for the calendar years, and therefore 
 require no adjustment in this respect. No complete information for years 
 preceding 1911 is available, but the rough estimates shown in the accom- 
 panying tables have been based upon the annual financial reports of the 
 Pullman Company as they are quoted in Moody's Manual of Industrials 
 for 1919. 
 
 § 10b. The Share of the Stockholders 
 
 Following the customary procedure, the first step is to ascertain the 
 total disbursements to investors of income arising from the operations of 
 this industry. To arrive at this figure, the receipts from other corporations 
 in the form of dividends or interest on funded debt have been subtracted 
 from the dividends paid by the Pullman Company. The amounts shown 
 by the reports of the Interstate Commerce Commission to have been 
 "carried forward to the credit of profit and loss" are regarded as net cor- 
 porate savings for the year. These savings, plus the net amounts dis- 
 bursed in the form of dividends, are assumed to represent the (Mil ire share 
 of the stockholders in this industry. Table 10A sets forth the tacts in this 
 connection. 
 
 In Table 10R the same items have been adjusted to -how the purchasing 
 power of the income of the stockholders if prices had remained stationary 
 at the level of 1913. This method gives a far clearer picture of the changes 
 which have actually occurred in the share under consideration, than does 
 a comparison of the crude money income for the various years. 
 
 A study of the two following tables shows that, while the nominal share 
 of the stockholders has been diminishing to a moderate degree, the fall in 
 the purchasing power of this share has been very marked. Although 
 
 133
 
 134 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 10A 
 
 THE ESTIMATED a SHARE OF THE STOCKHOLDERS IN THE VALUE PROD- 
 UCT OF PULLMAN TRANSPORTATION IN THE CONTINENTAL UNITED 
 STATES 
 
 (Values in Thousands of Dollars) 
 
 A 
 
 B 
 
 C 
 
 D 
 
 . ^et 
 dividends 
 paid 
 B — C 
 
 E 
 
 F 
 
 Year 
 
 Gross 
 
 dividends 
 
 paid 
 
 $8,100'"' 
 8,875 ac 
 9,442 ab 
 9,440 «b 
 
 9,440 °-b 
 
 9,468 ab 
 
 9,501 «b 
 
 9,529 b 
 9,544 b 
 9,511'' 
 
 Received 
 
 from other 
 
 companies 
 
 as dividends 
 
 or interest on 
 
 funded debt 
 
 $190 d 
 
 190 d 
 
 191 ab 
 196 ab 
 
 190"'- 
 
 188 ab 
 
 189 ab 
 
 ISO b 
 217 b 
 337 b 
 
 Corporate 
 savings e 
 
 Total share 
 of stockhold- 
 ers 
 D + E 
 
 1909 
 
 1910 
 1911 
 1912 
 1913 
 
 1914 
 1915 
 1916 
 
 1917 
 
 1918 
 
 $7,910 
 8,685 
 9,251 
 9,244 
 9,250 
 
 9,280 
 9,312 
 9,349 
 
 9,297 
 
 9,207 
 
 $9,500"/ 
 7,850 af 
 2,414 «b 
 3,126 ab 
 
 3,308 ab 
 
 2,486 «b 
 2,607 ab 
 2,174 b 
 3,862 b 
 
 787 b 
 
 $17,410 
 16,535 
 11,665 
 12,370 
 12,558 
 
 11,766 
 11,919 
 11,533 
 13,159 
 9,994 
 
 a Averages of the quantities for the two calendar years overlapping on the fiscal year. 
 
 b Data taken from last page of each of the respective annual Preliminary Abstracts 
 of Statistics of Common Carriers, Compiled by the Interstate Commerce Commission. 
 
 c Dividends as shown by Moody's Manual of Industrials multiplied by 0.965, this 
 being the ratio thereto, in 1911, of the amounts reported to the Interstate Commerce 
 Commission as paid in dividends. 
 
 d A guess based on the records for the succeeding six years. 
 
 e Entitled by the Interstate Commerce Commission "Balance Carried Forward to 
 Credit of Profit and Loss." 
 
 /The average surplus for 1911, 1912, and 1913 shown by the Interstate Commerce 
 Commission reports was 2.349 times as great as that shown by the report in Moody's 
 Manual of Statistics. The items in the latter report for 1909 and 1910 have therefore 
 been multiplied by 2.349. It is not unlikely that the results thus obtained are consider- 
 ably in error. 
 
 figures showing the actual investments have not been compiled, it appears 
 that the total amount invested in the industry has been constantly grow- 
 ing larger through accumulations of surplus or savings, hence the decline 
 in income per unit of invested resources is, necessarily, steeper than the 
 fall indicated by the figures recorded in the last column of Table 10B. 
 
 <*
 
 PULLMAN CAR TRANSPORTATION 
 
 135 
 
 TABLE 10B 
 
 THE PURCHASING POWER OF THE STOCKHOLDERS' SHARE OF THE 
 
 INCOME OF THE IMLLMAN COMPANY 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 Index of 
 consl ruc- 
 i ion 
 
 COStS c 
 
 G 
 
 Cal- 
 en- 
 dar 
 
 year 
 
 Net divi- 
 dends paid 
 by Pullman 
 Company a 
 (Thousands) 
 
 Index of prices 
 of consumption 
 goods pur- 
 chased by 
 families spend- 
 ing $25,000 
 annually 
 therefor & 
 
 Purchasing 
 
 power of 
 
 dividends at 
 
 prices of 
 
 1913 
 
 (Thousands) 
 
 B 
 
 C 
 
 Corpora 
 
 savings 
 
 of Pullman 
 
 ( Jompany ■< 
 
 (Thousands 
 
 Purchasing 
 power of cor- 
 porate savings 
 
 at price- (if 
 
 ^ 1913 
 (Thousands) 
 E 
 
 F 
 
 1909 
 1910 
 
 1911 
 1912 
 1913 
 
 1914 
 1915 
 1916 
 1917 
 19 IS 
 
 $7,910 
 8,685 
 9,251 
 9,244 
 9,250 
 
 9,280 
 9,312 
 9,349 
 9,297 
 9,207 
 
 .973 
 
 .988 
 
 .995 
 
 1.000 
 
 1.000 
 
 1.010 
 .996 
 1.074 
 1 . 198 
 1.364 
 
 $8,129 
 8,790 
 
 9,297 
 9,244 
 9,250 
 
 9,188 
 9,349 
 
 8,705 
 7,760 
 6,750 
 
 $9,500 
 7,850 
 2, 1 14 
 3,126 
 3,308 
 
 2,4 sr, 
 2,607 
 2,174 
 3,862 
 
 7s7 
 
 .920 
 .962 
 .941 
 
 .9 17 
 1.000 
 
 .939 
 
 .998 
 
 1.200 
 
 1.453 
 
 1 550 
 
 S 1 1 ».326 
 vl 60 
 
 3,233 
 3,308 
 
 2,566 
 2,612 
 
 1.S12 
 2,658 
 
 .-, IS 
 
 « See Table 10 A. 
 
 b Computed by means of a special study; see Table 21']. 
 
 ''Arithmetic average of indices; wages of building laborers (see § 7e), weighted 9 
 and the Bureau of Labor Statistics indices shown in Bulletin 269 weighted as follows: 
 Metals and metal products 5, Doors, Small plate glass, Window-glass, Maple (hard . 
 Oak (white quartered), and Lead Carbonate, each 1. 
 
 § 10c. Share of the Employees in the Net Value Product 
 
 The next problem is to ascertain the number of the employees and the 
 share of the total value product which they receive. Part of the pay of 
 Pullman employees comes in the form of lips directly from the passengers 
 and hence does not appear on the records of the company. This is, never- 
 theless, quite evidently part of the value product of the industry, for it is 
 considered by everyone as part of bis expenses of travel. An estimate for 
 tips is therefore included here as part of the share of the employees. The 
 figures appear in Table IOC.
 
 130 
 
 Till: ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE IOC 
 
 THE ESTIMATED SHARE OF THE EMPLOYEES IN THE VALUE PRODUCT 
 ARISING FROM PULLMAN TRANSPORTATION 
 
 
 Number of 
 
 Average 
 
 Total wages 
 
 Total tips 
 
 
 
 employees at 
 
 rate of pay 
 
 paid to em- 
 
 paid to 
 
 Total share 
 
 ^ ear 
 
 work on 
 
 per day for 
 
 ployees 
 
 porters h 
 
 of employees » 
 
 
 June 30th 
 
 employees 
 
 (Thousands) 
 
 (Thousands) 
 
 (Thousands) 
 
 1909. . . . 
 
 13,800 a 
 
 $1.65 d 
 
 $ 7,910 ffe 
 
 $2,352 ae 
 
 $10,262 
 
 1910.. . . 
 
 14,770a 
 
 1.68 d 
 
 8,820 ge 
 
 2,520 ae 
 
 11,340 
 
 1911.. . . 
 
 15,024 b 
 
 1 . 73 be 
 
 9,175/ 
 
 2,563 « 
 
 11,738 
 
 1912.. . . 
 
 15,129 b 
 
 1 . 84 be 
 
 9,827/ 
 
 2,724 e 
 
 12,551 
 
 1913.. . . 
 
 20,812 b 
 
 1.96 be 
 
 14,399 / 
 
 2,854 e 
 
 17,253 
 
 1914.. . . 
 
 20,1106 
 
 1.96 ^ 
 
 13,914/ 
 
 2,823 e 
 
 16,737 
 
 1915.. . . 
 
 19,106 b 
 
 1.94 be 
 
 13,084/ 
 
 2,926 e 
 
 16,010 
 
 1916.. . . 
 
 19,894 b 
 
 2.04b 
 
 14,326/ 
 
 3,053 
 
 17,379 
 
 1917.. . 
 
 19,276 be 
 
 2 . 23 b 
 
 15,174/ 
 
 3,802 
 
 18.976 
 
 1918. . . . 
 
 18,985 be 
 
 3.05b 
 
 20,440/ 
 
 3,883 
 
 24,323 
 
 a Assumed to vary in proportion to total revenues, using the quantities in 1911 as a 
 base. 
 
 b Taken from last page of each of the annual Preliminary Abstracts of Statistics of 
 Common Carriers, published by the Interstate Commerce Commission. 
 
 c Average of the numbers reported employed at the beginning and at the end of the 
 year. 
 
 d Total wages divided by total number of employees. 
 
 e Averages of the quantities for the two fiscal years overlapping on the calendar year. 
 
 / Product of the items in the two preceding columns multiplied by 353, this figure 
 being the estimated number of days per year for which an employee is paid. Most of 
 the employees work by the month, but a minority are employed by the day. 
 
 o Assumed to vary in proportion to operating expenses, using the quantities in 1911 
 as a base. 
 
 h Assumed to equal 20 cents per berth passenger; number of berth passengers as 
 recorded in the Annual Preliminary Abstracts of Statistics of Common Carriers pub- 
 lished by the Interstate Commerce Commission. 
 
 » Sum of items in two preceding columns. 
 
 Table 10D combines the data of Tables 10 A and 10C and shows the 
 relative shares of the value products of this industry going respectively 
 to the employees and to the stockholders. The figures in the last column 
 show a rapid increase in the fraction of the value product which the em- 
 ployees receive as their share, the increase in 1918 being very striking. 
 
 ,
 
 PULLMAN CAR TRANSPORTATION 
 
 137 
 
 TABLE 10D 
 
 THE ESTIMATED VALUE PRODUCT ARISING FROM PULLMAN TRANS 
 PORTATION AND THE DIVISION OF THIS PRODUCT BETWEEN THE 
 EMPLOYEES AND THE STOCKHOLDERS 
 
 
 Thousands of dollars 
 
 Per rent of the 
 
 Year 
 
 Share of 
 stockholders a 
 
 Share of 
 employees b 
 
 Total value 
 
 product of i lii- 
 iiidustry 
 
 value product wing 
 to the employees 
 
 1909 
 
 1910 
 
 1911 
 
 1912 
 
 1913 
 
 1914 
 
 1915 
 
 1916 
 
 1917 
 
 1918 
 
 $17,410 
 16,535 
 11,665 
 12,370 
 12,558 
 
 11,766 
 11,919 
 11,533 
 13,159 
 9,994 
 
 $10,262 
 11,340 
 11,738 
 12,551 
 17,253 
 
 16,737 
 16,010 
 17,379 
 18,976 
 24,323 
 
 $27,672 
 27,875 
 23,403 
 21,921 
 29,811 
 
 28,503 
 
 27,92!) 
 28,912 
 32,135 
 
 31,317 
 
 37.1 
 40.7 
 50.2 
 50.4 
 58.0 
 
 53 . 7 
 57.3 
 60.1 
 59.1 
 
 70 . 9 
 
 a See Table 10A. 
 b See Table IOC. 
 
 § 10d. Average Annual Earnings of Employees 
 
 An increase in the relative share of the product does not necessarily 
 indicate an absolute gain in the average well being of the workers. Table 
 10E represents an effort to show whether the economic condition of the 
 employees in the Pullman industry has improved or grown worse during 
 the decade under consideration.
 
 138 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 10E 
 
 THE ESTIMATED NUMBER OF EMPLOYEES ATTACHED TO THE PULL- 
 MAX INDUSTRY AND THE PURCHASING POWER OF THE AVERAGE 
 INCOME WHICH THEY DERIVE THEREFROM 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 H 
 
 
 
 
 
 
 
 Index of 
 
 
 
 
 
 Estimated 
 
 
 
 prices of 
 
 Average 
 
 
 Number 
 
 Estimated 
 
 number of 
 
 Total 
 
 Average 
 
 goods 
 
 earnings 
 
 
 of em- 
 
 fraction of 
 
 employees 
 
 earnings of 
 
 earnings 
 
 con- 
 
 in pur- 
 
 Year 
 
 ployees 
 
 employees 
 
 attached 
 
 employees a 
 
 per em- 
 
 sumed by 
 
 chasing 
 
 
 actually 
 
 actually 
 
 to indus- 
 
 (Thou- 
 
 ployee 
 
 manual 
 
 power 
 
 
 working a 
 
 working b 
 
 try 
 BtC 
 
 sands) 
 
 E ■*■ D 
 
 and 
 
 clerical 
 
 workers c 
 
 F + G 
 
 1909 
 
 13,800 
 
 .962 
 
 14,340 
 
 $10,262 
 
 $ 716 
 
 . 955 
 
 $749 
 
 1910 
 
 14.770 
 
 .982 
 
 15,040 
 
 11,340 
 
 754 
 
 .978 
 
 771 
 
 1911 
 
 15,024 
 
 .969 
 
 15,500 
 
 11,738 
 
 757 
 
 .984 
 
 770 
 
 1912 
 
 15,129 
 
 .953 
 
 15,880 
 
 12,551 
 
 790 
 
 .994 
 
 795 
 
 1913 
 
 20,812 
 
 .979 
 
 21,250 
 
 17,253 
 
 812 
 
 1.00 
 
 812 
 
 1914 
 
 20,110 
 
 .935 
 
 21,500 
 
 16,737 
 
 778 
 
 1.01 
 
 771 
 
 1915 
 
 19,100 
 
 .904 
 
 21,130 
 
 16,010 
 
 758 
 
 1.03 
 
 736 
 
 1916 
 
 19,894 
 
 .975 
 
 20,400 
 
 17,379 
 
 852 
 
 1.10 
 
 774 
 
 1917 
 
 19,276 
 
 .979 
 
 19,680 
 
 18,976 
 
 964 
 
 1.29 
 
 747 
 
 1918 
 
 18,985 
 
 .984 
 
 19,300 
 
 24,323 
 
 1,260 
 
 1.58 
 
 798 
 
 a See Table IOC. 
 
 b A rough estimate derived by means of a special study; see § 2d. 
 c The U. S. Bureau of Labor Statistics index carried back by means of a special 
 study; see Table 2C. 
 
 Table 10E makes it clear that while the Pullman employees received 
 a much higher average money compensation in 1918 than in 1909, the 
 purchasing power of their income from labor was but slightly higher at 
 that date than in the first year mentioned. 
 
 § lOe. The Annual Output per Employee 
 Average earnings are of great importance from the standpoint of the 
 employees. The employer, on the other hand, is likely to view labor 
 largely in its relationship to production. He is interested in the amount 
 of work accomplished per employee hired. Apparently the best measure 
 of this ratio obtainable from the records of the Pullman industry is the 
 number of car days in proportion to the number of employees. Car days 
 are used instead of car miles because the Pullman employees have little to 
 do with moving the cars in which they work. The number of employees 
 actually working rather than the number attached to the industry is 
 chosen as a divisor, not only because the figures for the former are more
 
 PULLMAN CAR TRANSPORTATION 
 
 139 
 
 TABLE 10F 
 
 THE RELATION OF THE NUMBER OF CAR DAYS TO THE NUMBER OF 
 EMPLOYEES ACTUALLY AT WORK IN THE PULLMAN INDUSTRY 
 
 a Averages of the quantities for the two fiscal years overlapping on the calendar 
 year. 
 
 b Data incomplete, hence no significant ratios can be computed for these years. 
 
 c Taken from the last page of each of the annual Preliminary Abstracts of Statistics 
 of Common Carriers, published by the Interstate Commerce Commission. 
 
 d See Table IOC. 
 
 accurate, but also because the employer pays wages only to those actually 
 at work. 
 
 While the output per employee varies greatly from year to year, there 
 appears to be no definite trend either upward or downward. One is not 
 justified, therefore, in concluding that the output per Pullman employee 
 has either increased or diminished during the eight years covered by this 
 study. 
 
 § lOf. Relative Growths of Pullman Service and Population 
 
 The final inquiry in this investigation has as its end an attempt to answer 
 the question, "Is the Pullman service keeping pace with the growth of 
 population?" Table 10G throws light upon this matter. For this purpose, 
 car miles have been compared to population; for, apparently, the car mile 
 is the factor in which the public is most interested. The fact should be 
 noted, however, that any changes in the per capita volume of service 
 measured on this basis are to be ascribed as much to the railways as to the 
 Pullman companies, since the cooperation of both is necessary to produce 
 Pullman car mileage.
 
 140 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 10G 
 
 PULLMAN CAR MILEAGE PER CAPITA IN THE CONTINENTAL 
 
 UNITED STATES 
 
 Year 
 
 Number of ear miles 
 (Thousands) 
 
 Population of the 
 
 United States d 
 
 (Thousands) 
 
 Car miles per 
 capita 
 
 1909. 
 
 a 
 
 a 
 
 641,723 6c 
 674,375 6c 
 704,341 be 
 
 700,623 6c 
 708,323 6c 
 714,9166 
 775,407 6 
 697,213 6 
 
 93,811 
 95,338 
 97,278 
 
 99,194 
 
 100,428 
 101,722 
 103,059 
 104,182 
 
 
 1910 
 
 1911. 
 
 6 84 
 
 1912. 
 
 7 07 
 
 1913 
 
 1914 
 
 1915 
 
 7.24 
 
 7.06 
 7 05 
 
 1916. . 
 
 7 03 
 
 1917 
 
 7 52 
 
 1918 
 
 6.69 
 
 a Information lacking; hence, no significant ratios can be computed for these years. 
 6 Taken from the last page of each of the annual Preliminary Abstracts of Statistics 
 of Common Carriers, published by the Interstate Commerce Commission. 
 
 c Averages of the quantities for the two fiscal years overlapping on the calendar year. 
 d Estimated by means of a special study; see § 2a. 
 
 Table 10G shows that Pullman service varies with demand and fluctu- 
 ates to a considerable degree. The years 1917 and 1918 showed large oscil- 
 lations, presumably due to war conditions. The figures as a whole, scarcely 
 indicate either an upward or downward trend in the amount of service 
 furnished per capita. 
 
 ,
 
 CHAPTER 11 
 EXPRESS COMPANIES 
 
 § 11a. Introduction 
 
 A very good annual report entitled "Statistics of Express Companies" 
 is published by the Interstate Commerce Commission. This report makes 
 it possible to obtain a fairly complete and accurate statement of the amount 
 and distribution of the value product of this branch of industry. 
 
 § lib. Disbursements to Security Holders and Building Owners 
 
 The withdrawals from the Express business by entrepreneurs and inves- 
 tors consist of dividends and bond interest. Owners of buildings obtain a 
 considerable revenue from the rent of those buildings which are devoted 
 to the Express business. These items together constitute the value with- 
 drawals going to entrepreneurs and other property owners. 
 
 The dividends and interest received by security holders in Express Com- 
 panies originate to no small degree in dividends and interest on bonds paid 
 to the Express Companies by other corporations. For the reasons set 
 forth in § 9b, the Express Companies must be thought of merely as 
 agents who pass this income along to the final recipients. Table 11A has 
 been constructed on this basis. It reveals the great irregularity in the 
 amounts paid as bond interest or dividends and shows the rapid decline 
 during the decade in the total disbursements to the security holders. 
 
 § lie. Total Share of Security Holders and Building Owners 
 
 The share of the security holders and other property owners in the cur- 
 rent income consists of receipts in hand plus corporate savings. Table 1 1 B 
 shows that, during seven years out of the ten, the corporations diminished 
 their assets, — in other words, part or all of the dividends declared wen 4 
 paid out of past savings rather than from current earnings. In 101S, the 
 deficit became far larger than the total withdrawals, the propertied classes 
 losing during the year on their Express Company interests ^14,003,000. 
 
 In order to make the magnitude of the various sums show the change-; 
 in the ability of the propertied classes to buy consumption goods with that 
 part of their income received from Express Companies in the various years, 
 each item has been divided by a price index representing the approximate 
 
 HI
 
 142 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 11A 
 
 DISBURSEMENTS TO ENTREPRENEURS AND OTHER PROPERTY OWNERS 
 OF VALUE PRODUCT ORIGINATING IN THE EXPRESS INDUSTRY 
 
 
 Values in Thousands of Dollars 
 
 Year 
 
 Total 
 
 dividends « 
 
 and bond 
 
 interest paid 
 
 by Express 
 
 Companies 
 
 Dividends 
 and bond 
 interest 
 received by 
 Express Com- 
 panies from 
 other cor- 
 porations 
 
 $3,417 c 
 4,233 d 
 4,689 <- 
 4,522/ 
 4,095 a 
 
 3,203 h 
 3,134 i 
 3,677/ 
 3,722/ 
 1,405 k 
 
 Dividends 
 
 and bond 
 
 interest 
 
 originating 
 
 in Express 
 industry " 
 
 $17,101 
 
 20,132 
 
 7,027 
 
 3,938 
 
 3,403 
 
 2,244 
 
 3,456 
 
 12,387 
 
 1,254 
 747 
 
 Rents paid 
 
 for use of 
 
 offices b 
 
 Total with- 
 drawals by 
 entrepreneurs 
 and other 
 property 
 owners 
 
 1909'" 
 
 1910'" 
 
 1911 w. . . . 
 
 1912"'. . . . 
 1913'" 
 
 1914'". .. . 
 1915'". .. . 
 
 1916 
 
 1917 
 
 1918 
 
 $20,518 e 
 24,365 d 
 
 11,716 r 
 
 8,460/ 
 7,501 g 
 
 5,452 h 
 6,590 i 
 16,064/ 
 4,976/ 
 2,152 A- 
 
 $1,567 c 
 
 1,641 d 
 1,771 « 
 
 1,949/ 
 2,066 a 
 
 2,093 h 
 2,080 i 
 2,127/ 
 2,264/ 
 2,435 * 
 
 $18,668 
 
 21,773 
 
 8,798 
 
 5,887 
 
 5,472 
 
 4,337 
 5,536 
 14,514 
 3,518 
 3,182 
 
 
 
 
 
 
 
 a Paid either from current income or surplus. 
 1> The amount here entered is 70 per cent of the amount paid by the Express Com- 
 panies, the assumption being that only this fraction accrues as net rent to the owners 
 of the offices, the rest being necessary to cover depreciation, repairs, etc. 
 
 E. = Annual Report on the Statistics of Express Companies, by the Interstate Com- 
 merce Commission. 
 
 c E. for 1910, pp. 15 and 26. h E. for 1914, pp. 13 and 21. 
 
 13 and 23. * E. for 1915-16, pp. 11, 12 and 17. 
 
 13 and 23. i E. for 1916-17, pp. 11, 12 and 17. 
 
 13 and 23. *= E. for 1918, pp. 11, 13, and 15. 
 
 13 and 21. 
 m Each of the quantities stated is half of the sum for the two fiscal years which 
 overlap on the given calendar year. 
 
 " Excess of items in second column over those in third. 
 
 d E. for 1911, pp. 
 e E. for 1912, pp. 
 /E. for 1913, pp. 
 o E. for 1914, pp. 
 
 average relative prices of consumption goods purchased at each date by 
 the wealthier classes of the population of the United States. 
 
 S
 
 EXPRESS COMPANIES 
 
 143 
 
 TABLE 11B 
 
 TOTAL SHARE OF ENTREPRENEURS AND OTHER PROPERTY OWNERS 
 IN THE VALUE PRODUCT OF THE EXPRESS INDUSTRY 
 
 (AMOUNTS WITHDRAWN, PLUS CORPORATE SAVINGS 
 
 A 
 
 B 
 
 C 
 
 1) 
 
 E 
 
 F 
 
 G 
 
 H 
 
 
 Value in 
 
 thousands of dollars 
 
 
 
 Values in 
 
 thousands 
 
 
 at 
 
 die given date 
 
 Index of 
 prices of 
 
 Index of 
 
 at prices 
 
 of 1913 'i 
 
 
 
 
 
 Amounts 
 
 
 Year 
 
 
 Amounts 
 
 
 goods 
 
 whole- 
 
 dis- 
 
 
 
 
 disbursed 
 
 Cor- 
 
 consumed 
 
 sale 
 
 bursed 
 
 Corporate 
 
 
 Total 
 
 to 
 
 porate 
 
 by 
 
 prices' 
 
 to 
 
 savings 
 
 
 share 
 
 property 
 
 savings 6 
 
 wealthy 
 families 
 
 
 property 
 
 D -J- F 
 
 
 
 owners a 
 
 
 
 owners 
 
 
 
 
 
 
 
 
 C +■ E 
 
 
 1909 c . . 
 
 $15,698 
 
 $18,668 
 
 —$2,970 
 
 . 973 
 
 07 
 
 $19,186 
 
 —83,062 
 
 1910c . . 
 
 14,895 
 
 21,773 
 
 — 6,s;s 
 
 .988 
 
 .99 
 
 22,(137 
 
 — 6,947 
 
 1911c . . 
 
 11,054 
 
 8,798 
 
 2,256 
 
 995 
 
 95 
 
 8,842 
 
 2,375 
 
 1912c . . 
 
 7,983 
 
 5,887 
 
 2,096 
 
 1 000 
 
 1.01 
 
 5,887 
 
 2.075 
 
 1913 c . . 
 
 4,816 
 
 5,472 
 
 — 656 
 
 1.000 
 
 1.00 
 
 5,172 
 
 — 656 
 
 1914c . . 
 
 3,830 
 
 4,337 
 
 — 507 
 
 1.010 
 
 1.00 
 
 1,294 
 
 — 1,507 
 
 1915 c . . 
 
 8,692 
 
 5,536 
 
 3,156 
 
 .996 
 
 1.01 
 
 5,558 
 
 3,125 
 
 1916.... 
 
 10,957 
 
 I 1.514 
 
 — 3,557 
 
 1 071 
 
 121 
 
 13, 514 
 
 — 2,869 
 
 1917... 
 
 2,162 
 
 3,518 
 
 — 1,356 
 
 1 198 
 
 1 . 76 
 
 2.937 
 
 — 770 
 
 1918.... 
 
 -14,003 
 
 3,182 
 
 -17,185 
 
 1 364 
 
 1.96 
 
 2,333 
 
 — 8,768 
 
 a See Table 11 A, last column. 
 
 b Includes "Income appropriations for investment in physical property" plus " Bal- 
 ance transferred to profit and loss" minus "Dividend appropriations of surplus." For 
 data, see the "Income" and "Profit and Loss" accounts in the various Annual Re- 
 ports by the Interstate Commerce Commission, on The Statistic* <>f Express Compa 
 
 c Each of the quantities stated is half of the sum for the two fiscal years which overlap 
 on the given calendar year. 
 
 d Money values divided by the respective price indices. 
 
 e U. S. Bureau of Labor Statistics, Bulletin 269, on Wholesale Prices, p. 15. 
 
 § lid. The Share of the Employees 
 
 Table 11C indicates the amount of the value product of each year going 
 to employees. This consists largely of wages and salaries, but there is 
 included an important item entitled "Commissions." The auditor of tin- 
 American Railway Express Company states that practically all of this 
 amount is paid to railway agents at small stations as compensation for 
 their efforts in handling Express business. It has been arbitrarily assumed 
 that 70 per cent of the amount paid by Express Companies for "Injuries 
 to Persons" reaches the pockets of employees. The amount is too -mall 
 to be of moment. Similarly, there is included the trivial item of "Pen- 
 sions." The combination of the above items gives the estimated total share 
 of the employees.
 
 144 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 11C 
 
 THE SHARE OF THE EMPLOYEES IN THE TOTAL VALUE PRODUCT OF 
 
 THE EXPRESS INDUSTRY 
 
 (Values in Thousands of Dollars) 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 H 
 
 I 
 
 
 
 
 
 Total 
 
 
 
 Index of 
 prices of 
 
 goods 
 
 bought by 
 
 manual 
 
 and 
 
 clerical 
 
 workers d 
 
 Share of 
 
 
 
 Indem- 
 
 
 compen- 
 
 
 Total 
 
 employ- 
 
 Year 
 
 Wages 
 
 and 
 
 salaries a 
 
 nity for 
 person- 
 al in- 
 
 Pen- 
 sions a 
 
 sation 
 
 to full 
 
 time em- 
 
 Com- 
 mis- 
 sions a 
 
 share of 
 
 em- 
 ployees 
 
 ees at 
 price 
 
 level of 
 
 
 
 juries ob 
 
 
 ployees 
 
 
 E+F 
 
 1913 
 
 
 
 
 
 B+C+D 
 
 $6,922 
 
 
 G - H 
 
 1909 C 
 
 $36,230 
 
 $104 
 
 $125 
 
 $36,459 
 
 $43,381 
 
 .955 
 
 $45,425 
 
 1910 c 
 
 39,238 
 
 134 
 
 135 
 
 39,507 
 
 7,489 
 
 46,996 
 
 .978 
 
 48,053 
 
 1911 c 
 
 42,445 
 
 146 
 
 151 
 
 42,742 
 
 7,906 
 
 50,648 
 
 .984 
 
 51,472 
 
 1912 c 
 
 45,710 
 
 151 
 
 164 
 
 46,025 
 
 8,173 
 
 54,198 
 
 .994 
 
 54,525 
 
 1913 c 
 
 46,774 
 
 172 
 
 181 
 
 47,127 
 
 7,988 
 
 55,115 
 
 1.000 
 
 55,115 
 
 1914c 
 
 43,926 
 
 190 
 
 209 
 
 44,325 
 
 7,320 
 
 51,645 
 
 1.01 
 
 51,134 
 
 1915 c 
 
 44,510 
 
 200 
 
 245 
 
 44,955 
 
 7,421 
 
 52,376 
 
 1.03 
 
 50,850 
 
 1916 
 
 52,345 
 
 238 
 
 275 
 
 52,858 
 
 8,502 
 
 61,360 
 
 1.10 
 
 55,796 
 
 1917 
 
 64,356 
 
 312 
 
 310 
 
 64,978 
 
 . 9,382 
 
 74,360 
 
 1.29 
 
 57,643 
 
 1918 
 
 82,437 
 
 449 
 
 317 
 
 83,203 
 
 10,240 
 
 93,443 
 
 1.58 
 
 59,141 
 
 a All data taken from the "Analyses of Operating Expenses" in the Annual Reports 
 by the Interstate Commerce Commission on The Statistics of Express Companies. 
 
 b 70 per cent of payments made by Express Companies. 
 
 c Each of the quantities stated is half of the sum for the two fiscal years which over- 
 lap on the given calendar year. 
 
 d U. S. Bureau of Labor Statistics index carried back by this Bureau. For details 
 see Table 2C. 
 
 Table 11C shows that, while the share of the property owners has been 
 diminishing, labor has been getting an increasing absolute share in the 
 product of the Express industry. Since the number of employees is not 
 recorded, there is no way of determining accurately whether the compen- 
 sation per employee has increased or diminished during the decade. 
 
 § lie. The Total Net Value Product and Its Distribution 
 
 In Table 11D appears an estimate of the entire value product of the 
 Express industry. To the shares of the propertied classes and of the em- 
 ployees has been added a small item entitled "Uncollectible Revenue 
 from Transportation." This has been done because the value received by 
 the shipper in such cases is evidently a part of his income and also a part 
 of the product of the Express industry; although it does not accrue to 
 either the Express Companies or their employees. However, the amount 
 is too small to be of consequence.
 
 EXPRESS COMPANIES 
 TABLE 11D 
 
 145 
 
 THE ESTIMATED NET VALUE PRODUCT PER CAPITA OF THE EXPRESS 
 INDUSTRY IN THE CONTINENTAL EXITED STATES AND THE PER 
 CENT OF THE NET PRODUCT GOING TO THE EMPLOYEES 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 II 
 
 I 
 
 J 
 
 
 (A 
 
 mounts in 
 
 .housands) 
 
 
 
 
 
 Per capita 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Uncol- 
 
 
 of value 
 
 Population 
 
 Value 
 
 
 product 
 
 
 Share of 
 
 
 lectible 
 
 Total 
 
 product 
 
 of United 
 
 product 
 
 Index of 
 
 at prices 
 
 
 entrepre- 
 
 Share of 
 
 charges 
 
 value 
 
 going to 
 
 States/ 
 
 per 
 
 prices of 
 
 of Express 
 
 
 neurs and 
 
 employees^ 
 
 for 
 
 product of 
 
 em- 
 
 (Thou- 
 
 capita 
 
 Express 
 
 service 
 
 
 other 
 
 
 trans- 
 
 industry 
 
 ployees 
 
 sands) 
 
 E-f-G 
 
 service 
 
 in 1913 
 
 
 property 
 
 
 porta- 
 
 B+C+D 
 
 C-^E 
 
 
 
 
 100 H 
 
 
 owners b 
 
 
 tion 
 
 
 
 
 
 
 I 
 
 1909« 
 
 $15,698 
 
 $43,381 
 
 $20 e 
 
 $59,099 
 
 73.4 
 
 90,370 
 
 $0.65 
 
 100.0 
 
 $0.65 
 
 1910« 
 
 14,895 
 
 46,996 
 
 20 * 
 
 61,911 
 
 75.9 
 
 92,229 
 
 .67 
 
 100.0 
 
 .67 
 
 1911a 
 
 11,054 
 
 50,648 
 
 20 ' 
 
 61,722 
 
 82 1 
 
 93,811 
 
 .66 
 
 100.0 
 
 .66 
 
 1912a 
 
 7,983 
 
 54,198 
 
 20 e 
 
 62,201 
 
 S7.1 
 
 95,338 
 
 .65 
 
 100.0 
 
 .65 
 
 1913a 
 
 4,816 
 
 55,115 
 
 20 « 
 
 59,951 
 
 91.9 
 
 97,278 
 
 .62 
 
 100.0 
 
 .62 
 
 1914a 
 
 3,830 
 
 51,645 
 
 20 d 
 
 55,495 
 
 93.1 
 
 99,194 
 
 .56 
 
 100.0 
 
 .56 
 
 1915a 
 
 8,692 
 
 52,376 
 
 28 d 
 
 61,096 
 
 85.7 
 
 100,428 
 
 .61 
 
 89.5 
 
 us 
 
 1916 
 
 10,957 
 
 61,360 
 
 11 d 
 
 72,358 
 
 84.8 
 
 101,722 
 
 .71 
 
 89 5 
 
 .79 
 
 1917 
 
 2,162 
 
 74,360 
 
 71 d 
 
 76,593 
 
 97.1 
 
 103,059 
 
 .74 
 
 89.5 
 
 .83 
 
 1918 
 
 -14,003 
 
 93,443 
 
 76 d 
 
 79,516 
 
 117.5 
 
 104,182 
 
 .76 
 
 98.6 
 
 .77 
 
 a Each of the quantities stated is half of the sum for those two fiscal years which 
 overlap on the given calendar year. 
 
 & See Table 11B. 
 
 e See Table 11C. 
 
 d From Income Accounts in Annual Reports of the Interstate Commerce Commis- 
 sion on the Statistics of Express Companies. 
 
 e Assumed same as in 1914. 
 
 / See Table 2A. 
 
 a Roughlv estimated from the Reports of the Interstate Commerce Commission, Vol. 
 XXXV, p. 6, and Vol. L, p. 385. 
 
 The conclusion to be drawn from Table 11D is that during the decade 
 the amount of service rendered by the Express Companies has more than 
 kept pace with the growth of population. The index of prices of Express 
 service is based on very poor data and hence the figures in the last column 
 of Table 11D are not accurate. However, it seems probable that the broad 
 conclusion just stated accords with the facts. 
 
 Column F of the table shows that the relative share of labor in the value 
 product of the industry increased greatly, until, in 1918, it absorbed not 
 only the entire value product but also fourteen millions of dollars from the 
 assets which the companies had accumulated in past years. This means 
 that it was necessary to draw upon the value products of other industries 
 in order to obtain sufficient income to pay the employees for the work 
 done in carrying on the Express business. This draft on other industries 
 was possible because the Express Companies had in former years accumu- 
 lated large surpluses mainly in the form of investments, or, in other words,
 
 146 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 claims to assets employed in other fields. Stocks and bonds of outside cor- 
 porations are examples of such claims. Such securities can, of course, be 
 readily sold and the money thus obtained may be used to meet current- 
 expenses. 
 
 § llf. The Number of Employees 
 
 As previously mentioned, no record has been found of the number of 
 employees engaged in this field of work, yet it is essential for the general 
 purposes of this study that the number be estimated. The United States 
 Bureau of Labor Statistics in its bulletins on The Union Scales of Wages 
 and Hours of Labor gives rates for teamsters in all sections of the country. 
 The Interstate Commerce Commission, in its Statistics of Railways, 
 presents figures which enable one to compute the average salaries for 
 office workers from year to year. It has been assumed that a combination 
 of the rates for teamsters and office workers, 1 giving the former twice the 
 weight of the latter, might represent fairly well the average earnings of 
 Express employees for full time work. Before 1913, only the railway data 
 are available, hence the average has been carried back for earlier years 
 in proportion to the variations in those figures only. The results of this 
 computation are presented in Table HE. 
 
 The average fraction of those employees attached to the industry who 
 were at work in the various years has been assumed to be very similar to 
 that calculated as representing the railway workers. Certain adjustments 
 have been made in order to make the fractions conform to the idea that 
 the number of persons attached to any industry normally tends to vary 
 along a smooth curve rather than in an irregular fashion. Table HE 
 shows the estimates which have been arrived at. This completes the usual 
 list of inquiries in so far as the nature of the available data will permit. 
 
 1 Office workers include division officers, clerks, and station agents, masters, and employees. 
 
 ,
 
 express companies 
 
 147 
 
 TABLE HE 
 
 AN ESTIMATE OF THE NUMBER OK PERSONS NORMALLY DEPENDENT 
 FOR A LIVIN( I UP< )N EM PLOYM ENT WITH THE ENPK 1 ■:>> COM PA N I ES 
 OF THE CONTINENTAL UNITED STATES 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 Calendar 
 year 
 
 Total wages 
 and salaries 
 
 paid« 
 (Thousands) 
 
 Estimated 
 average an- 
 nual full-time 
 money wa<je '> 
 
 Estimated 
 
 average 
 
 number of 
 
 employees 
 
 actually 
 
 at work 
 
 B - C 
 
 Estimated 
 
 fraction of 
 
 those attached 
 
 to industry 
 
 actually at 
 \vi >rk c 
 
 Estimated 
 
 number of 
 
 employees 
 
 attached to 
 
 industrv 
 
 D -i- E 
 
 1909 
 
 1910 
 
 1911 
 
 1912 
 
 1913 
 
 1914 
 
 1915 
 
 1916 
 
 1917 
 
 1918 
 
 $36,230 
 39,238 
 42,445 
 45.710 
 46,774 
 
 43,926 
 44,510 
 52,345 
 64,356 
 
 82,437 
 
 $640 
 
 635 
 
 663 
 
 670 
 6S4 
 
 698 
 
 699 
 728 
 770 
 938 
 
 56,609 
 61,900 
 64,020 
 68,224 
 68,383 
 
 (53,648 
 63,678 
 
 71,902 
 
 v;.579 
 87,sm-> 
 
 .963 
 .985 
 .963 
 .9S5 
 .968 
 
 .887 
 
 .869 
 .94S 
 .989 
 . 989 
 
 5S,7S4 
 62,800 
 66,430 
 
 69,263 
 70,611 
 
 71,756 
 
 73,277 
 75,845 
 
 si. 509 
 88,863 
 
 a See Table 11C, Column B. 
 
 b For mode of derivation, see text. 
 
 c Derived by a special study described in Sec. 2d.
 
 CHAPTER 12 
 STREET AND ELECTRIC RAILWAYS 
 
 § 12a. Census Data Available 
 
 The task of estimating the value product of the street and electric rail- 
 ways of the country is made relatively easy by the existence of three Cen- 
 suses taken in 1907, 1912, and 1917 respectively. These Censuses seem 
 very complete and give most of the information in the form necessary for 
 this study. 
 
 § 12b. Share of Security Holders and Other Property Owners 
 
 In the Census of Electric Railways, the term "gross income" means the 
 amount remaining from the entire income after operating expenses and 
 taxes have been paid. Since it is evident that practically all the value 
 product of this industry must arise from the activities of operating com- 
 panies only, the gross income of this class of companies is taken as a start- 
 ing point. From this sum, however, must be deducted a number of items 
 before arriving at the amounts available for disbursement to security 
 holders or as payment for leased property. These items may be enumer- 
 ated as follows: — 
 
 1. Income received as dividends or interest on the bonds of other corpo- 
 rations. Such amounts must be deducted because, under the plan of pro- 
 cedure determined upon, they are counted in the value product of the 
 industry in which the paying corporation is engaged. 
 
 2. Taxes and expenses of lessor street railway companies. These 
 amounts are deducted because they do not go to investors in street rail- 
 ways. 
 
 3. Interest on unfunded debt, This is presumably paid mostly to banks 
 and will be considered in their income when dealing with that field. 
 
 4. Miscellaneous debits. Items under this head are stated by the Cen- 
 sus to consist mainly of taxes on securities, losses incurred, etc. These 
 items evidently are deductions from the amounts going to investors in the 
 street railway field. 
 
 Table 12A shows the net results of these calculations for the Census 
 years. 
 
 148
 
 STREET AND ELECTRIC RAILWAYS 
 
 149 
 
 TABLE 12A 
 
 THE SHARE OF SECURITY AND PROPERTY OWNERS IX THE NET VALUE 
 PRODUCT OF THE STREET AND ELECTRIC RAILWAYS OF THE CON 
 TINENTAL UNITED STATES IN Till. CENSUS YEARS 
 
 (Values in Thousands of Dollars ) 
 
 a See text for description. 
 
 b U. S. Census of Street and Electric Railways for 1917, pp. 13-14. 
 
 c U. S. Census of Street and Electric Railways for 1907, pp. 123-125; 142. 
 
 d U. S. Census of Street and Electric Railways for 1912, pp. 236; 245; 250. 
 
 « U. S. Census of Street and Electric Railways for 1917, pp. 1 I; 7s; 83. 
 
 /The interest on the unfunded debt was estimated at 9.9' ' of all interest, this being 
 an average of the percentages for 1907 and 1917. The estimated amount for 1912 was 
 9,710 thousands of dollars. 
 
 The interpolation of the share of entrepreneurs and other property 
 owners for the intercensal years is shown in Table 12B. It is based upon 
 the assumption that changes in the net share are proportionate to changes 
 in the net operating revenue of the companies. Since the two quantities 
 are so nearly identical, the error from this assumption is certain to be 
 slight. 
 
 The figures for net operating revenue for intercensal years since 1913 
 are taken from the estimates made by the Deputy Public Service Com- 
 missioner of New York. These estimates are said to have been made after 
 extensive investigation. For the years 1909 to 1913 inclusive, he presents 
 no information; hence use has been made of a compilation of the data 
 shown in the annual reports of a number of the leading street railways 
 of the United States. 
 
 It is believed that the final estimates derived in the manner just stated 
 are close to the truth and are sufficiently accurate for all practical pur- 
 poses. The figures appear in Table 12B.
 
 150 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 12B 
 
 THE ESTIMATED AGGREGATE OF THE INTEREST, RENT, DIVIDENDS, 
 AND SAVINGS OF THE STREET AND ELECTRIC RAILWAYS OF THE 
 CONTINENTAL UNITED STATES 
 
 (Values in Thousands of Dollars) 
 
 A 
 
 B 
 
 C 
 
 Interest, 
 divi- 
 dends. 
 and sur- 
 plus of 
 28 typi- 
 cal com- 
 panies b 
 
 $45,855 
 
 52,189 
 
 55,310 
 58,150 
 61,430 
 
 D 
 
 E 
 
 F 
 
 G 
 
 Ratio of 
 F toE 
 
 H 
 
 Year 
 
 Net 
 operating 
 
 revenue 
 of all 
 com- 
 panies; 
 census 
 figures a 
 
 Ratio of 
 B toC 
 
 Estimated 
 
 net 
 
 operating 
 
 revenue 
 
 BX D 
 
 Sum of 
 
 interest 
 
 dividends 
 
 rent and 
 
 surplus; 
 
 Census 
 
 years / 
 
 Estimated 
 sum of in- 
 terest 
 dividends 
 rent and 
 surplus 
 EX G 
 
 1907. . . . 
 
 1909. . . . 
 1910.. . . 
 1911.. .. 
 1912. . . . 
 1913.. .. 
 
 1914.. . . 
 
 1916.. . . 
 1917.. . . 
 1918. . . . 
 
 $166,879 
 234,615 
 
 257,230 
 
 3.639c 
 
 3.71.V 
 3.748d 
 3 . 785 d 
 3.819c 
 
 $166,879 a 
 
 193,900 
 207,300 
 220,100 
 234,615 « 
 239,138 c 
 
 243,661 e 
 248,185 « 
 252,707 c 
 257,230 a 
 155,669* 
 
 $132,138 
 188,885 
 
 2)5,159 
 
 .792 c 
 
 .799? 
 .801? 
 .8049 
 .805 c 
 .805fl 
 
 .804ff 
 
 .802(7 
 .803!/ 
 .793 c 
 .791'/ 
 
 $132,138/ 
 
 154,800 
 
 166,100 
 
 177,000 
 
 18S.885/ 
 
 192,400 
 
 195,900 
 
 199,100 
 
 202,100 
 
 205,159/ 
 
 123,630 
 
 a U. S. Census of Street and Electric Railways, for 1917, pp. 13-14. 
 b Computed from data appearing in Poor's and Moody's Manual of Statistics. 
 c Computed. 
 
 d Interpolated along a straight line. 
 
 e Estimated by Alfred M. Barrett, Public Service Commissioner of New York. See 
 Annalist, Jan. 5, 1920, p. 22. 
 /See Table 12 A. 
 g Read from a smooth curve. 
 
 § 12c. Share of the Employees 
 
 The Census reports separately wages and salaries for the different 
 Census years, but it is stated that the distinctions between the two have 
 perhaps changed somewhat and hence are of little value. For this reason, 
 both are here combined. Since data for the intercensal years 1909, 1910, 
 and 1911 are unavailable, estimates for those years have been made on 
 the assumption that wages have varied along a smooth curve. In an indus- 
 try as stable as that of street railways, and in a period characterized by 
 no radical changes, this method should be fairly accurate. For the later 
 years, the estimates of wages used are those furnished by Public Service 
 Commissioner Barrett, and by the statistician of the American Electric 
 Railway Association. Table 12C sets forth the evidence as it appears. 

 
 STREET AND ELECTRIC RAILWAYS 
 
 151 
 
 TABLE 12C 
 
 THE ESTIMATED DIVISION OF THE VALUE PRODUCT OF THE STREET 
 AND ELECTRIC RAILWAYS OF THE CONTINENTAL EXITED STATES 
 
 (Values in Thousands of Dollars) 
 
 
 
 
 
 Per cent of 
 
 
 Wages and 
 
 salaries paid 
 
 Rents, interest, 
 
 Total value 
 
 value product 
 
 Year 
 
 dividends, 
 and surplus A 
 
 product of 
 industry » 
 
 going to 
 employees, as 
 
 
 
 
 
 wages and salaries 
 
 1907 
 
 $150,991 a 
 
 $132,138 
 
 283,129 
 
 53.3 
 
 1909 
 
 170,900/ 
 
 154,800 
 
 325,700 
 
 52.5 
 
 1910 
 
 180,960/ 
 
 166,100 
 
 347,060 
 
 52.1 
 
 1911 
 
 191,400/ 
 
 177,001) 
 
 368,400 
 
 52 . 
 
 1912 
 
 200,891 a 
 
 188,885 
 
 3S9.776 
 
 51.5 
 
 1913 
 
 213,950 a 
 
 192,400 
 
 406,350 
 
 52.7 
 
 1914 
 
 223,930 cb 
 
 195,900 
 
 419,830 
 
 53.3 
 
 1915 
 
 222,220 cb 
 
 199,100 
 
 421,320 
 
 52.7 
 
 1916 
 
 242,250* 
 
 202,100 
 
 444,350 
 
 54.5 
 
 1917 
 
 267,240 a 
 
 205,159 
 
 172,399 
 
 56.6 
 
 1918 
 
 313,749 c 
 
 123,600 
 
 137,349 
 
 71.7 
 
 a U. S. Census of Street ami Ehclrir Railu-n/s for 1917, p. 13. 
 
 b Estimated from Aera, on basis of percentage change in cost of conducting trans- 
 portation. 
 
 c Aera, Mar. 1917, p. 925. 
 
 d Aera, Mar. 1918, p. 795. 
 
 e Estimated. in Aera, Aug. 1919, pp. 47-52. 
 
 / Interpolated along a smooth curve 
 
 a Assumed to varv in proportion to operating expenses: see Barrett, Alfred M., 
 Annalist, Jan. 5, 1920, p. 22. 
 
 h See Table 12B. 
 
 * Sum of two preceding columns. 
 
 § 12d. Corporate Savings 
 
 Table 12C shows that, at the close of the period studied, there was a 
 great increase in the share of the employees as contra ited with ;i sharp 
 contraction in the share of property. As a rule, the corporate owners 
 reserve a certain proportion of earnings as savings or "surplus." In l'.HS. 
 however, the surplus disappeared and part of the distribution to stock 
 and bond holders was made out of previous savings. 
 
 The estimates of the surplus for other years than those covered by the 
 Census are interpolated on the basis of the reported surpluses of the 
 twenty-eight representative companies previously mentioned and of the 
 estimates of Public Service Commissioner Barrett. The figures appear in 
 Table 12D. 
 
 They show that the percentage of corporate 1 earnings saved fell sharply 
 after 1911, but that about one-twentieth of the income was saved up to
 
 152 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 1918, when a deficit occurred about equal to the savings of a normal year 
 in the decade. 
 
 TABLE 12D 
 
 THE ESTIMATED CORPORATE SAVINGS OF THE STREET AND ELECTRIC 
 RAILWAY COMPANIES OF THE CONTINENTAL UNITED STATES 
 
 (Values in Thousands of Dollars) 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 Year 
 
 Surplus of 
 all com- 
 panies in 
 census 
 years a 
 
 Surplus of 
 28 typical 
 companies b 
 
 Ratio of 
 B toC 
 
 Estimated 
 savings of 
 all com- 
 panies 
 CXD 
 
 Total 
 share of 
 entre- 
 preneurs 
 
 and 
 property / 
 
 Per cent of 
 share of en- 
 trepreneurs 
 and prop- 
 erty owners 
 saved 
 by corpo- 
 rations, as 
 surplus 
 E -S--F 
 
 1907 . . . 
 
 1909 . . . 
 1910 
 1911. . . 
 1912. . . 
 1913. . . 
 
 1914. . . 
 
 1915. . . 
 
 1916. . . 
 
 1917. . . 
 
 1918. . . 
 
 $14,303 
 16,663 
 
 8,506 
 
 $7,038 
 
 7,261 
 8,968 
 9,117 
 9,550 
 6,392 
 
 2.032c 
 
 1 . 920 d 
 1 861 d 
 1.801d 
 1 745 c 
 1.686** 
 
 814,303 a 
 
 13,940 
 16,690 
 16.420 
 16,663 a 
 10,770 
 
 13,300 e 
 
 11,700 « 
 
 10,000 e 
 
 8,506 o 
 
 -12,100 « 
 
 $132,138 
 
 154,800 
 166,100 
 177,000 
 
 iss.ssr, 
 192,403 
 
 195,900 
 199,100 
 202,100 
 2D5.159 
 123,600 
 
 10.8 
 
 9.0 
 10.0 
 9.3 
 8.8 
 5.6 
 
 6.8 
 5.9 
 4.9 
 4.1 
 
 —9.8 
 
 a U. S. Census of Street and Electric Railways, 1917, p. 14. 
 b Compiled from Poor's and Moody's Manuals. 
 c Computed. 
 
 d Interpolated along a straight line. 
 
 f Adjusted slightly to include surplus of lessor companies, but primarily the estimates 
 of Alfred M. Barrett, in the Annalist, Jan. 5, 1920, p. 22. 
 / See Table 12B. 
 
 § 12e. Average Annual Earning of Employees 
 
 The next question of interest is whether the average annual earnings of 
 the employees attached to the industry are, in general, growing larger or 
 smaller as the years pass. Since the purchasing power of the dollar has 
 changed so greatly during the decade, it is also essential that the nominal 
 money wage received by the average employee attached to the industry be 
 divided by a suitable price index in order to ascertain the relative amount^ 
 which the various money payments would purchase on the dates when they 
 were made. These two processes have been carried out in Table 12E. 
 
 S
 
 STREET AND ELECTRIC RAILWAYS 
 
 153 
 
 TABLE 12E 
 
 THE AVERAGE NUMBER OF KLECTRIC RAILWAY EMPLOYEES AND THE 
 AVERAGE ANNUAL PAY WHICH THEY RECEIVE FROM THE EMPLOY- 
 ING COMPANIES 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 II 
 
 Year 
 
 Estimated 
 
 average 
 
 number of 
 
 employees 
 
 actually 
 
 at work/ 
 
 1 Istimated 
 fraction of 
 full time 
 worked on 
 the average'' 
 
 Estimated 
 number of 
 employees 
 at taehed to 
 industry 
 B-HC 
 
 Estimated 
 total wa ■ 
 ami salaries " 
 (Thousands) 
 
 Average 
 
 money 
 earnings 
 per year '' 
 
 EvD 
 
 Average 
 price index 
 
 of goods 
 consumed 
 
 by manual 
 
 and clerical 
 
 workers e 
 
 Purchasing 
 
 power of 
 
 annual 
 
 earnings at 
 
 prices oi 
 
 1913 
 
 F-hG 
 
 1907 
 
 1909 
 1910 
 1911 
 1912 
 1913 
 
 1914 
 1915 
 1916 
 1917 
 1918 
 
 221,429(7 
 
 251,800/ 
 266,100/ 
 273,600/ 
 282,461 a 
 284,100/ 
 
 278,200 / 
 276,000 / 
 292,300 / 
 294,826 o 
 292,400/ 
 
 .987 
 
 .968 
 .977 
 .970 
 .978 
 .971 
 
 . 942 
 .929 
 .982 
 .986 
 .977 
 
 224,300 b 
 
 260,000 c 
 272,200 e 
 282,000 e 
 289,000 6 
 292,500 c 
 
 295,000 e 
 296,700 c 
 298,000 c 
 299,0006 
 
 299,700 c 
 
 SI 70,900 
 180,960 
 1! 11, 400 
 200,891 
 213,950 
 
 223,930 
 222,220 
 242,250 
 
 2i '.7, 2 J n 
 313,749 
 
 S657 
 665 
 
 679 
 695 
 731 
 
 759 
 
 749 
 813 
 
 VI 1 
 
 1047 
 
 95 5 
 
 97 8 
 
 98 1 
 
 99 1 
 100. 
 
 101. 
 103. 
 
 110. 
 129. 
 
 i:.s 
 
 $688 
 680 
 
 690 
 699 
 
 731 
 
 751 
 727 
 739 
 693 
 663 
 
 a See Table 12C. 
 b Equals B -=- C. 
 c Read from a smooth curve. 
 d Derived by means of a special study; se s § 2d. 
 
 e Bureau of Labor index for middle of year, c intinued back from 1913 to 1999 by 
 special investigation by this Bureau; see Table 2C. 
 / Equals C X D. 
 o U. S. Census of Electric Railways, 1917, p. 13. 
 
 The fractions which have been estimated as representing the propor- 
 tions of those normally employed, who are at work, are based upon rather 
 slender evidence. Probably, however, they do not diverge far from the 
 truth. Their derivation is described in Chapter 2. 
 
 The results of the computations recorded in Table 12E show a distinct 
 increase in the purchasing power of earnings during the first half of the 
 decade and an equally distinct decline from 1914 to 1918. The conclu- 
 sion must be that, during the latter period, either the employee- grew 
 worse off economically, or else there was a lowering in the grade of labor 
 employed. 
 
 § 12f. Purchasing Power of Share of Security Holders and Property 
 
 Owners 
 
 It seems probable, then, that the employees were not quite as well off in 
 1918 as in 1909, but how about the investors? Owing to the variations in
 
 154 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 the price level, a mere statement of the number of dollars which the latter 
 received throws but little light upon the question. It is essential that the 
 amounts in money be reduced to a basis of purchasing power, if an intelli- 
 gent answer is to be given. This has been done in Table 12F. The price 
 index used for the correction represents approximately the changes in the 
 value of consumption goods used by the wealthy, since the majority of the 
 stock in most corporations is held by persons having large incomes. 
 
 TABLE 12F 
 
 THE PURCHASING POWER OF THE BUSINESS SAVINGS AND OF THE 
 DISBURSEMENTS MADE TO THE PROPERTY OWNERS FROM THE 
 NET VALUE PRODUCT OF THE STREET AND ELECTRIC RAILWAY 
 INDUSTRY 
 
 (Values in Thousands of Dollars) 
 
 
 Corporate savings 
 
 Bond interest, dividends, and rent 
 
 Year 
 
 Actual 
 value b 
 
 Index of 
 construc- 
 tion costs a 
 
 Value at 
 
 prices of 
 
 1913 « 
 
 Actual 
 
 amount 
 
 paidc 
 
 Index of 
 
 prices of 
 
 articles used 
 
 by families 
 
 spending 
 
 $25,000 
 
 annually d 
 
 Value at 
 
 prices of 
 
 1913 e 
 
 1909 . . 
 
 1910 . . 
 
 1911 . 
 
 1912 . . 
 
 1913 . 
 
 1914 . . 
 
 1915 . . 
 
 1916 .. 
 
 1917 .. 
 
 1918 . . 
 
 $13,940 
 16,690 
 16,420 
 16,663 
 10,770 
 
 13,300 
 
 11,700 
 
 10,000 
 
 8,506 
 
 —12,100 
 
 .927 
 .953 
 .945 
 .983 
 1.000 
 
 .960 
 
 .992 
 
 1.194 
 
 1.473 
 
 1.499 
 
 $15,038 
 17,513 
 17,376 
 16,951 
 10,770 
 
 13,852 
 
 11,794 
 
 8,375 
 
 5,775 
 
 -8,067 
 
 $140,860 
 149,410 
 160,580 
 172,222 
 181,630 
 
 182,600 
 187,400 
 192,100 
 196,653 
 135,700 
 
 .973 
 
 .988 
 
 .995 
 
 1.000 
 
 1.000 
 
 1.010 
 .996 
 1.074 
 1.198 
 1.364 
 
 $144,769 
 151,225 
 161,387 
 172,222 
 181,630 
 
 ISO, 792 
 188,152 
 178,864 
 164,151 
 99,487 
 
 a Data derived from reports of the United States Bureau of Labor Statistics. Weights 
 used: Building labor 3, metals and implements 2, building materials 1. 
 b See Table 12D. 
 
 c Entire share of propertied classes less corporate savings; see Table 12B. 
 d Derived by a special study; see Table 2E. 
 e Obtained by dividing the money values by the price index. 
 
 Table 12F shows how very sharp has been the fall in the purchasing 
 power of the income of the investors in street railways. Much more calcu- 
 lation is necessary to ascertain the decline in the real earnings per dollar 
 invested. However, it seems quite certain that the investment has been 
 all the time increasing rather than diminishing; hence it is evident, that 
 from 1910 to 1918, street railway securities were constantly giving poorer 
 and poorer returns on the investment.
 
 STREET AND ELECTRIC RAILWAYS 
 
 155 
 
 § 12g. The Average Output per Employee 
 
 Another query of interest is whether the output per employee has been 
 increasing or diminishing during the decade under discussion. An increase 
 in output might he due either to greater efficiency in management, better 
 equipment, or greater skill or effort on the part of the employees. At 
 present, only the facts and not the causes will be considered. The best 
 measure of output is believed to be the car mile, which also seems to repre- 
 sent the best criterion of service rendered by the company. Cars have 
 changed only moderately in size during the decade under discussion but 
 there has apparently been some increase in capacity and it is not certain 
 that the number of passengers crowded into a car may not have varied 
 greatly. No record of seat miles is obtainable; hence the car mile is used 
 as the nearest approximation to this ideal measure of service rendered. 
 Table 12G shows roughly the facts both as to service per employee and 
 service rendered per capita for the population of the Continental United 
 States. 
 
 TABLE 12G 
 
 THE ESTIMATED NUMBER OF REVENUE CAR MILES PER EMPLOYEE 
 AND PER CAPITA FOR THE STREET AND ELECTRIC RAILWAYS OF 
 THE CONTINENTAL UNITED STATES 
 
 Year 
 
 Revenue car 
 
 miles 
 (Thousands) 
 
 1,617,731a 
 
 Number of 
 
 employees 
 actually 
 
 at work/ 
 
 Revenue car 
 miles per 
 employee 
 
 Population of 
 
 Continental 
 
 Unit <-i 1 States ■> 
 
 (Thousands) 
 
 87,321 « 
 
 Revenue car 
 
 miles per 
 
 inhabitant 
 
 of the 
 
 United States 
 
 1907 
 
 221,429 
 
 7,303 
 
 IS. 53 
 
 1909 
 
 1,725,000 b 
 
 251,800 
 
 6,851 
 
 90,370 
 
 19.09 
 
 1910 
 
 1,785,0006 
 
 266,100 
 
 6,708 
 
 92,229 
 
 19.35 
 
 1911 
 
 1,845,000 6 
 
 273,600 
 
 6,743 
 
 93,811 
 
 19.67 
 
 1912 
 
 1,921,620 a 
 
 282,461 
 
 6,803 
 
 95,338 
 
 20.16 
 
 1913 
 
 _'.il()0,0006 
 
 28 1.100 
 
 7,040 
 
 97,278 
 
 20.56 
 
 1914 
 
 2,068,000 c 
 
 278,200 
 
 7.!:'.! 
 
 99,194 
 
 20.85 
 
 1915 
 
 2,022,00 1 
 
 276,000 
 
 7,326 
 
 100,428 
 
 20 13 
 
 1916 
 
 2,1 10,000 d 
 
 292,300 
 
 7,219 
 
 101,722 
 
 20 7 1 
 
 1917 
 
 2,139,802 a 
 
 294,826 
 
 7,258 
 
 103,059 
 
 20 76 
 
 1918 
 
 2,051,356 ' 
 
 292,400 
 
 7,013 
 
 104,182 
 
 r.i 69 
 
 a Census of Electric Railways, 1017, pp. 12-13. 
 
 6 Roughly estimated by aid of a smooth curve. 
 
 c Estimated from tallies in Aera, March, 1917, p. 925. 
 
 d Estimated from tables in Aera, March, 1918, p. 796. 
 
 e Estimated from records of 345 companies; see Aera, Aug 1919, p. 17. 
 
 /See Table L2E. 
 
 g Figures derived from a special study; see § 2a. 
 
 ' Statistical Abstract of the U. S., 1918, p. 776.
 
 156 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 Tabic 12G indicates that the output per employee declined noticeably 
 from 1907 to 1910, that, after that date, it varied irregularly, but in 
 most years did not differ greatly from the 1907 rate. Since cars have 
 probably increased somewhat in size it is not unlikely that the passenger 
 miles per employee were greater in number in 1918 than in 1907. As to 
 the effort involved in moving a car a mile, it may be noted that it has been 
 affected by several varying forces. Larger cars require more work in 
 collecting fares but improved devices lessen the physical work of manipu- 
 lating the machinery. The car mile may then perhaps be a fairly satis- 
 factory gauge of work performed, even though conditions have changed 
 somewhat during the period studied. 
 
 § 12h. Relative Growths of Street Car Service and National Population 
 
 The last column of the table shows that up to 1914 street railway ser- 
 vice was growing faster than population but that since that date the two 
 rates of growth have been about equal, with an actual decline occurring in 
 1918 in the car mileage per capita. This change in the amount of service 
 per person in the United States has doubtless been the result of several 
 independent forces acting simultaneously. The chief force tending to send 
 the per capita amount of service upward is the relatively rapid growth 
 of the urban as compared to the rural population. This tends to increase 
 the average street car patronage among the general population, for, as 
 cities grow larger, not only must a larger percentage of their inhabitants 
 ride to work, but also each person who rides must, on the average, travel 
 more miles to reach the business district. 
 
 Two forces acting in the opposite direction which have been especially 
 potent in restricting traffic since 1914 are the increase in the automobile- 
 owning percentage of the population and the competition of automobile 
 busses with the street railways. During the period since 1917, the growth 
 of street railway traffic has been further hampered by the fact that exten- 
 sions could not readily be financed because of low net income arising from 
 fixed rates of fare and higher costs of operation. In 1918, a further re- 
 stricting factor of some moment was the difficulty of obtaining sufficient 
 employees to keep the service in full operation. 
 
 Despite the decline in service occurring at the close of the recorded 
 period, it seems probable that the car mileage per capita may again 
 increase at a rate similar to that prevailing before 1915. The actual in- 
 crease during the decade in service is probably slightly greater than the 
 figures show, for it is presumably true that the average seating capacity 
 of cars has grown somewhat in the interim. 
 
 S
 
 CHAPTER 13 
 PRIVATE ELECTRIC LIGHT AND POWER COMPANIES 
 
 § 13a. The Census Data 
 
 The Census Bureau secures records from electric light and power com- 
 panies at five year intervals. Censuses were taken in 1907, 1912, and 1917. l 
 This spacing of time is such that estimates for each year of the period under 
 consideration can be made with a reasonable degree of accuracy. The 
 Census data, of course, were not collect ed with a view to answering the 
 questions brought forward in our particular inquiry and hence are not 
 entirely adapted to our needs. It is believed, however, that the official 
 figures afford a basis for estimates that serve the present purpose fairly 
 well. 
 
 The methods of interpolation used, of course, give only approximation-: 
 but, owing to the advantageous location of the Census dates, it is not 
 likely that they have given rise to errors of any moment. 
 
 There are doubtless certain inaccuracies in the amounts recorded for 
 the Census years themselves. For example, some rent and some interest 
 on short time loans are doubtless paid to individuals, and employees 
 receive some recompense for injuries. Presumably, however, all of these 
 amounts are quite small. On the whole, it is believed that the figures 
 shown in the study approximate the facts rather closely. 
 
 The way in which the Census figures have been used is shown in Tabic 
 13 A. 
 
 Certain explanations are necessary concerning the nature of some of the 
 items in Table 13A. For the reasons stated in Section 9b, income received 
 as interest or dividends from other companies is not included in the value 
 product of this industry. The income from operations less expense's 
 should give the gain which is to be distributed among the owners of the 
 plants. Interest paid to bondholders is included among "Expenses." 
 To arrive at the gains of all investors, this item should be added to the 
 dividends paid from operating receipts. 
 
 The Census records small payments for damages and legal expenses. 
 Evidently, money paid for land- flooded or property destroyed represents 
 
 'Professor Edniond E. Lincoln of Harvard University, who has turn in charge of this 
 part of the Census, has kindly criticised the results here presented. While he cannot be 
 held responsible for the estimates given, bis suggestions were must helpful and the report 
 has been materially improved by their incorporation. 
 
 157
 
 158 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 13A 
 
 THE CENSUS FIGURES FOR THE ITEMS COMPOSING THE NET VALUE 
 PRODUCT OF PRIVATE ELECTRIC LIGHT AND POWER PLANTS IN 
 THE CONTINENTAL UNITED STATES 
 
 
 Millions of dollars 
 
 Item 
 
 Census of 
 
 
 1907 
 
 1912 
 
 1917 
 
 Gross Income from Operation 
 
 Total Expenses d 
 
 $159.7 a 
 
 123.0* 
 
 $274 . b 
 216.0/ 
 
 $477 . 8 c 
 391. Off 
 
 Net Profits from Operation 
 
 $ 36.7 
 
 $ 58.0 
 
 $ 86.8" 
 
 Payments to Employees:' 
 
 $21.2'' 
 10.7'' 
 
 $33 . '' 
 22 . 6 >* 
 
 $52 0^ 
 
 
 34.4'' 
 
 
 
 Total 
 
 Payments to Investors : i 
 Interest on Funded Debt. . 
 
 $31.9 
 
 26.8* 
 
 $55.6 
 
 $58.0 
 40.5' 
 
 $86.4 
 
 $86.9 
 61.0 m 
 
 
 
 Total 
 
 $63 . 5 
 
 $98 . 5 
 
 $147.9 
 
 Total Value Product of Industry. . . . 
 
 $95.4 
 
 $154.1 
 
 $234.3 
 
 Per cent of Value Product Received 
 by Employees 
 
 33.4 
 
 36.1 
 
 36.9 
 
 
 
 « U. S. Census of Central Electric Light, and Power Stations, 1907, p. 159. In 1912 
 33.4 per cent of "All Other Income" was from investments. The same percentage (or 
 $1,880,000), has been deducted in 1907. 
 
 b U. S. Census of Central Elec. Light and Power Stations, 1912, p. 89. 
 
 c U. S. Census of Central Elec. Light and Power Stations, 1917, p. 155; interest and 
 dividends from investments excluded. 
 
 d Excludes sinking and reserve funds. 
 
 « In 1912, sinking and reserve funds constituted 1.69 per cent of miscellaneous ex- 
 penses, hence 1.69 per cent of the 1907 miscellaneous expenses, or $834,000 have been 
 deducted. 
 
 / U. S. Census of Central Elec. Light and Power Stations, 1912, p. 95. 
 
 o U. S. Census of Central Elec. Light and Power Stations, 1917, pp. 160-161. 
 
 h U. S. Census of Central Elec. Light and Power Stations, 1917, p. 120. 
 
 * There should be included here any amounts paid to employees as compensation for 
 injuries. Professor Edmond E. Lincoln, special statistician for the Census Bureau in 
 this line, assures us that this amount is less than $100,000; hence no entry has been 
 made. 
 
 i No item is entered under this head for rents because Professor Lincoln states that 
 the amount of rent going to individuals is "wholly negligible" practically all being paid 
 "for stations, equipment of various kinds, use of lines and conduits, water privilege, 
 etc." 
 
 k United Slates Census of Elec. Light and Power Stations, 1907, p. 61. 
 
 '4.5% on funded debt, the rate being estimated from the U. S. Census of Central 
 Electric Light and Power Stations for 1917, pp. 103 and 115. 
 
 m 4.7% on funded debt, the rate being estimated from the references cited under 
 
 " Fraction over A. 
 
 <*
 
 PRIVATE ELECTRIC LIGHT AND POWER COMPANIES 159 
 
 no net gain and therefore adds nothing to private revenues. Some dam- 
 ages doubtless are paid to injured employees, but the amount is stated 
 by authority to be negligible. 
 
 By the process just described, it is believed that, for the Census years, 
 the respective shares of the value product of the industry going to the 
 persons working for hire and to the persons who take the risk and expect 
 to secure remuneration for the investment of their efforts or property 
 from the residuum of the net receipts have been fairly well differentiated. 
 If the share of the employees is divided by the total value product of the 
 industry and the quotient is multiplied by 100, the resulting product repre- 
 sents the approximate percentage of the value product going to the em- 
 ployees, — a group that, by contract, holds the primary claim against the 
 net product of the enterprise. 
 
 § 13b. The Net Value Product and Its Distribution 
 
 Table 13A completes the inquiry for the Census years, but, under the 
 plan of campaign determined upon, it is necessary to estimate the value 
 product and its distribution for each year from 1909 to 1918. Some basis 
 of interpolation is therefore essential. The criteria depended upon for 
 this purpose are derived from the annual reports of 19 typical electric 
 light and power companies as quoted in Moody's Manual. The respec- 
 tive totals of net earnings, operating expenses, interest on funded debt, 
 dividends, and corporate surplus have been calculated for each year from 
 1907 to 1918 for the entire group of corporations and are recorded in Tables 
 13B and 13C. 
 
 It is assumed that the ratio of profits of all concerns to the net earnings 
 of the 19 typical corporations is a relatively stable quantity and that its 
 changes can therefore, be well depicted by a smooth curve determined by 
 the ratios for 1907, 1912 and 1917. Similarly it is assumed that the respec- 
 tive ratios of salaries and wages paid by all plants to the total operating 
 expenses of the 19 selected corporations are relatively fixed, varying along a 
 smooth curve rather than oscillating violently, and that the same holds 
 true of the ratio of bond interest paid by all concerns to the interest on the 
 funded debt reported by the -ample corporations. The treatment of the 
 data according to these assumptions yields the results set forth in Tables 
 13B, 13C, and 13D.
 
 160 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 13B 
 
 AN ESTIMATE OF THE TOTAL NET PROFITS OF PRIVATE ELECTRIC 
 LIGHT AND POWER PLANTS IN THE CONTINENTAL UNITED 
 
 STATES 
 
 A 
 
 B 
 
 C 
 
 D 
 
 Ratio of total 
 
 E 
 
 
 Total net 
 
 Total net profit 
 
 Estimated d net 
 
 
 earnings of 19 
 
 of all private 
 
 net profits to 
 
 profit of all 
 
 Year 
 
 typical electric 
 
 plants as shown 
 
 net earnings of 
 
 private plants 
 
 
 companies <* 
 
 by Census d 
 
 typical 
 
 BX D 
 
 
 (Thousands) 
 
 (Thousands) 
 
 companies 
 
 (Thousands) 
 
 1907 
 
 $15,652 
 
 $36,704 
 
 2 . 345 b 
 
 $35,704 
 
 1909 
 
 18,438 
 
 
 2.310c 
 
 42,600 
 
 1910 
 
 21,422 
 
 
 2.303c 
 
 49,330 
 
 1911 
 
 23,023 
 
 
 2 . 300 c 
 
 52,950 
 
 1912 
 
 25,293 
 
 58,046 
 
 2.2956 
 
 58,046 
 
 1913 
 
 26,884 
 
 
 2.322c 
 
 62,420 
 
 1914 
 
 27,747 
 
 
 2 . 362 c 
 
 65,550 
 
 1915 
 
 31,154 
 
 
 2.420c 
 
 75,400 
 
 1916 
 
 34,585 
 
 
 2.489 c 
 
 86,100 
 
 1917 
 
 33,798 
 
 86,857 
 
 2.570 6 
 
 86,857 
 
 1918 
 
 33,898 
 
 
 2 . 655 c 
 
 90,000 
 
 a Compiled from various numbers of Moody's Manual of Corporation Securities. 
 
 b Computed by division. 
 
 c Interpolated along a smooth curve. 
 
 d For references, see Table 13A. 
 
 ^
 
 PRIVATE ELECTRIC LIGHT AND POWER COMPANIES 1(31 
 
 TABLE 13C 
 
 AN ESTIMATE OF SALARIES AND WAGES PAID BY PRIVATE ELECTRIC 
 LIGHT AND POWER COMPANIES IN THE INTERCENSAL YEARS 
 
 
 Total op- 
 
 Salaries 
 
 Ratio of 
 
 Estimated 
 
 Wages 
 
 Ratio of 
 
 Estimated 
 
 
 erating ex- 
 
 paid by 
 
 salaries 
 
 total 
 
 paid by 
 
 wages 
 
 total 
 
 
 penses of 
 
 all plants 
 
 paid by 
 
 salaries 
 
 all plan! - 
 
 paid by all 
 
 wages 
 
 Year 
 
 19 typical 
 
 (Census 
 
 all plants 
 
 paid by .-ill 
 
 (Census 
 
 plants to 
 
 paid by 
 
 
 electric 
 
 figures d) 
 
 to expenses 
 
 plants e 
 
 figures d) 
 
 expenses 
 
 all plants '■ 
 
 
 companies "■ 
 
 (Thou- 
 
 of typical 
 
 (Thou- 
 
 (Thou- 
 
 of typical 
 
 (Thou- 
 
 
 (Thousands) 
 
 sands) 
 
 companies 
 
 sands) 
 
 sands) 
 
 companies 
 
 sands) 
 
 1937. . . 
 
 $23,571 
 
 $10,739 
 
 . 456 b 
 
 $10,739 ^ 
 
 $21,19o 
 
 .899 6 
 
 $21,196^ 
 
 1939. .. 
 
 27,740 
 
 
 .541c 
 
 15,000 
 
 
 893 c 
 
 24,850 
 
 1910. . . 
 
 31,734 
 
 
 .574 c 
 
 18,220 
 
 
 892 c 
 
 28,300 
 
 1911. . . 
 
 33,571 
 
 
 .596 c 
 
 20,000 
 
 
 .883 c 
 
 29,800 
 
 1912. . . 
 
 37,338 
 
 22,637 
 
 .606 6 
 
 2_\f>37<' 
 
 33,021 
 
 .8846 
 
 33,021 d 
 
 1913. 
 
 39,804 
 
 
 .602 c 
 
 23,980 
 
 
 .878 c 
 
 31,940 
 
 1914... 
 
 42,458 
 
 
 .593<- 
 
 25,190 
 
 
 . S 17 e 
 
 :; »,800 
 
 1915. . . 
 
 44,078 
 
 
 .582 c 
 
 25,660 
 
 
 .858c 
 
 37,800 
 
 1916... 
 
 50,615 
 
 
 .562 c 
 
 28,460 
 
 
 842« 
 
 12,600 
 
 1917.. . 
 
 62,825 
 
 34,439 
 
 .548 6 
 
 34,439 d 
 
 52,035 
 
 s 1 > b 
 
 52,035 d 
 
 1918... 
 
 72,220 
 
 
 525 c 
 
 37,970 
 
 
 .811c 
 
 58,550 
 
 a Compiled from various numbers of Moody's Manu d of Corporation S • iriti ■ 
 
 6 Computed. 
 
 c Interpolated along a smooth curve. 
 
 d See Table 13A for references. 
 
 e Operating expenses of typical companies multiplied by the appropriate ratio.
 
 162 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 13D 
 
 AN ESTIMATE OF THE PAYMENTS OF BOND INTEREST MADE BY 
 PRIVATE ELECTRIC LIGHT AND POWER COMPANIES IN THE IN- 
 TERCENSAL YEARS 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 Year 
 
 Index of 
 interest on 
 funded debt 
 paid by 15 re- 
 porting cor- 
 porations a 
 
 Bond interest 
 
 paid by all 
 
 plants. (Census 
 
 figures b) 
 
 (Thousands) 
 
 Ratio of C 
 to B 
 
 Estimated bond 
 
 interest paid 
 
 by all plants 
 
 (Thousands) 
 
 BXD 
 
 1907 
 
 1909. . . 
 
 20,692 
 
 20,038 
 22,096 
 23,965 
 24,520 
 25,415 
 
 24,675 
 27,055 
 29,350 
 30,000 
 33,382 
 
 $26,842 
 40,450 
 
 01,000 
 
 1 . 297 e 
 
 1.432d 
 1.503^ 
 1 . 575 d 
 1.650c 
 1 . 724 d 
 
 1.800 d 
 
 1 . 880 d 
 1 . 957 d 
 2.033c 
 2.108^ 
 
 $26,842 
 
 28,705 
 33,218 
 37,757 
 40,450 
 43,816 
 
 44,415 
 50,861 
 57,453 
 61,000 
 
 1910 
 
 1911. . . . 
 
 1912. . 
 
 1913. 
 
 1914 
 
 1915 
 
 1916.. . 
 
 1917.. 
 
 1918 
 
 70,368 
 
 
 
 a Compiled from various numbers of Poor's and Moody's Manual of Public Utilities. 
 
 b For references, see Table 13A. 
 
 c Computed by division. 
 
 d Read from a smooth curve. 
 
 It is of interest to note the fact that the industry shows an unusually 
 steady increase in all lines throughout the decade. Profits, wages, and 
 bond interest have each nearly trebled. No violent fluctuation appeared 
 anywhere. 
 
 The next step in the usual procedure followed in these studies is to 
 divide the total share of entrepreneurs and property owners into two parts ; 
 namely, disbursements, and business savings. This apportionment has 
 been based upon the proportionate division of the net gain of the previously 
 mentioned reporting corporations between dividends and corporate savings. 
 
 The corporations were separated into three classes based upon size. 
 Ratios were separately computed from the totals of each class and the arith- 
 metic average of these three ratios is the quantity here presented. This 
 method prevents the domination of the results by the large corporations 
 which probably form a much larger proportion of the sample than of the 
 industry as a whole. 
 
 **
 
 PRIVATE ELECTRIC LIGHT AND POWER COMPANIES 163 
 
 TABLE 13E 
 
 AN ESTIMATE OF THE TOTAL DISBURSEMENTS MADE TO THE STOCK 
 AXD BOND HOLDERS BY PRIVATE ELECTRIC LIGHT AND POWER 
 PLANTS 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F , 
 
 G 
 
 Calendar 
 
 year 
 
 Xct profits 
 of all com- 
 panies « 
 
 (Thou- 
 sands) 
 
 Fracl ion of 
 uel profits 
 saved by 
 sample cor- 
 porations 
 
 Savings 
 
 of all 
 concerns 
 (Thou- 
 sands) 
 CXB 
 
 Dividends 
 of all 
 
 concerns 
 (Thou- 
 sands) 
 B — D 
 
 Bond 
 
 interest 
 paid by all 
 concerns b 
 (Thou- 
 sands) 
 
 Total dis- 
 bursements 
 
 ments to 
 
 stock 
 and bond 
 holders 
 (Thou- 
 sands) 
 E + F 
 
 1907 
 
 1909 
 
 1910 
 
 1911 
 1912 
 1913 
 
 1914 
 
 1915 
 
 1916 
 1917. 
 1918 
 
 $36,704 
 
 42,000 
 49,330 
 52,950 
 
 58,040 
 62,420 
 
 65,550 
 75,400 
 86,100 
 86,857 
 90,000 
 
 .5346 
 
 .3072 
 .3634 
 
 3251 
 .2974 
 .3208 
 
 . 1939 
 .3064 
 .3691 
 
 . 2888 
 
 .225:; 
 
 $19,622 
 
 13,087 
 17,925 
 
 17,215 
 17,203 
 20, 021 
 
 12,710 
 23,104 
 31,784 
 25. 088 
 20,282 
 
 $17,082 
 
 29.51:; 
 31,405 
 35,735 
 40,783 
 42,396 
 
 52,840 
 
 52.290 
 54,316 
 61,769 
 
 69,71s 
 
 $26,842 
 
 28,705 
 
 33,218 
 37,757 
 40,450 
 43,816 
 
 11.115 
 50,861 
 57,453 
 61,000 
 70,368 
 
 $43,924 
 
 58,21s 
 64,623 
 73,492 
 
 81.233 
 86,212 
 
 97.255 
 103,157 
 111,769 
 122,769 
 
 HO.OSli 
 
 a See last column of Table 13B. 
 b See Table 13D, Column E. 
 
 It is now in order to measure the purchasing power of that share of the 
 total value product of the industry which was paid to the stock and bond 
 holders. This is done in Table 13F.
 
 164 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 13F 
 
 THE PURCHASING POWER OF THE SHARE OF THE STOCK AND BOND 
 HOLDERS IN THE VALUE PRODUCT OF PRIVATE ELECTRIC LIGHT 
 AND POWER PLANTS 
 
 A 
 
 . B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 
 Corporate savings 
 
 Interest and dividends paid 
 
 Calendar 
 year 
 
 Thousands 
 of dollars o 
 
 Index of 
 construc- 
 tion costs b 
 
 Value 
 at prices 
 of 1913 
 (Thou- 
 sands) 
 B 
 
 C 
 
 Thousands 
 of dollars c 
 
 Index of 
 
 prices of 
 
 goods used 
 
 by the 
 
 wealthier 
 
 classes d 
 
 Value 
 at prices 
 of 1913 
 (Thou- 
 sands) 
 E 
 
 F 
 
 1909 .... 
 1910. . . . 
 
 1911 
 
 1912 
 
 1913. . . . 
 
 1914 
 
 1915 
 
 1916 
 
 1917 
 
 1918 
 
 $13,087 
 17,925 
 17,215 
 17,263 
 20,024 
 
 12,710 
 23,104 
 31,784 
 
 25,088 
 20,282 
 
 .927 
 .953 
 .945 
 .983 
 1.000 
 
 1.013 
 
 1 . 002 
 1 . 088 
 1 . 252 
 1.448 
 
 $14,118 
 18,809 
 18,217 
 17,562 
 20,024 
 
 12,547 
 
 23,058 
 29,213 
 20,038 
 14,007 
 
 $58,218 
 64,623 
 73,492 
 81,233 
 86,212 
 
 97,255 
 103,157 
 111,769 
 122,769 
 140,086 
 
 .965 
 
 .983 
 
 .990 
 
 1.000 
 
 1.000 
 
 1.011 
 
 0.999 
 1.081 
 1.225 
 1.406 
 
 $60,330 
 65,741 
 74,234 
 81,233 
 86,212 
 
 96,197 
 103,260 
 103,394 
 100,220 
 
 99,634 
 
 a See Table 13E, Column D. 
 
 b Indices derived from Bureau of Labor Statistics combined, with weights assigned 
 as follows: Building labor 3, Metals and metal products 2, Building materials 1. 
 
 c See Table 13E, Column G. 
 
 d An average of the indices for those classes spending respectively $5,000 and $25,000 
 annually for consumption goods. See § 2c. 
 
 Table 13F indicates that when price variations are eliminated corpo- 
 rate savings show little difference at the beginning and end of the decade ; 
 but that the disbursements to investors rose sharply during the first half 
 of the period and then became nearly stationary, presumably because of 
 the prevalence of relatively fixed rates in the face of rising costs of operation. 
 
 Table 13G is devoted to showing the fraction of the net value product 
 going to the employees. 
 
 S
 
 PRIVATE ELECTRIC LIGHT AND POWER COMPANIES 165 
 
 TABLE 13G 
 
 THE ESTIMATED TOTAL VALUE PRODUCT OF PRIVATE ELECTRIC 
 LIGHT AND POWER PLANTS AND ITS DISTRIBUTION 
 
 (Continental United States, 1909-1918) 
 
 (Values all in thousands of dollars) 
 
 
 Share of stock and bond holders 
 
 Share of 
 
 employees. 
 
 Salaries 
 
 and wages e 
 
 Total value 
 product of 
 industry d 
 
 Per cent 
 
 Year 
 
 Retained in 
 business a 
 (Savings) 
 
 Amounts 
 withdrawn 
 
 from 
 business b 
 
 Total 
 
 of value 
 
 product 
 
 going to 
 
 employees 
 
 1907 
 
 1909 
 
 1910 
 
 1911 
 
 1912 
 
 1913 
 
 1914 
 
 1915 
 
 1916 
 
 1917 
 
 1918 
 
 $19,622 
 
 13,087 
 17,925 
 
 17,215 
 17,263 
 20,024 
 
 12,710 
 23,104 
 31,784 
 
 25,088 
 20,282 
 
 $43,924 
 
 58,218 
 64,623 
 73,492 
 81,233 
 86,212 
 
 97,255 
 103,157 
 111,769 
 122,769 
 140,086 
 
 $63,546 
 
 71,305 
 82,548 
 90,707 
 98,496 
 106,236 
 
 109,965 
 120,261 
 143,553 
 147,857 
 160,368 
 
 $31,935 
 
 39,850 
 46,520 
 
 49,800 
 55,658 
 
 58,920 
 
 61,990 
 63,460 
 71,060 
 
 86,474 
 96,520 
 
 $95,431 
 
 111,155 
 129,068 
 140,507 
 
 15 1.1 51 
 165,156 
 
 171,955 
 189,721 
 214,613 
 234,331 
 256,888 
 
 33.5 
 
 35 . 8 
 36.0 
 35.4 
 36.1 
 35 . 7 
 
 36.0 
 33.4 
 33.1 
 
 36.9 
 37.6 
 
 a See Table 13E, Column D. 
 
 b See Table 13E, Column G. 
 
 c Derived from Table 13C by combining wages and salaries. 
 
 d Sum of two preceding columns. 
 
 It is clear that the employees receive a smaller share of the value product 
 in this industry than in most other fields. This may be due to the large 
 amount of investment per employee, the small amount of labor required 
 per unit of output, or perhaps to some other reason. That it is not pri- 
 marily the result of paving much lower average wages than other industries 
 is indicated by the entries in Table 13H.
 
 166 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 13H 
 
 AN ESTIMATE OF THE AVERAGE ANNUAL EARNINGS OF EMPLOYEES 
 OF PRIVATE ELECTRIC LIGHT AND POWER COMPANIES 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 H 
 
 Call n- 
 dar year 
 
 Average 
 number 
 of em- 
 ployees 
 actually 
 at work 
 
 Fraction 
 of those 
 attached 
 to in- 
 dustry 
 actually 
 working 
 
 Number 
 attached 
 to in- 
 dustry 
 B 
 
 C 
 
 Total 
 wages 
 and sal- 
 aries 
 paid c 
 (Thou- 
 sands) 
 
 Average 
 annual 
 earnings 
 per em- 
 ployee 6 at- 
 tached to 
 industry 
 E 
 
 D 
 
 Index of 
 prices of 
 
 goods con- 
 sumed by 
 
 manual and 
 
 clerical 
 
 workers / 
 
 .955 
 
 .978 
 
 .984 
 
 .994 
 
 1.000 
 
 1.01 
 1.03 
 
 1 10 
 1.29 
 
 1.58 
 
 Annual 
 average 
 earnings 
 at prices 
 of 1913 
 F 
 
 G 
 
 1907. . .. 
 
 1909. .. . 
 1910 .. . 
 1911. .. . 
 1912. . . . 
 1913. . . . 
 
 1914. ... 
 1915. ... 
 1916. . . . 
 1917. . . . 
 1918. . . . 
 
 42,066 a 
 71,395 a 
 
 94,679 a 
 
 .96 6 
 
 .98 6 
 
 .97'' 
 
 43,920^ 
 
 55,000 d 
 60,500'/ 
 67,000'/ 
 72,830 e 
 78,500 d 
 
 84,100'/ 
 N'.t.OOO'/ 
 94,000'/ 
 97,700'- 
 101,500'/ 
 
 $31,935 
 
 39,850 
 46,520 
 49,800 
 55,658 
 58,920 
 
 61,990 
 63,460 
 71,060 
 86,47 t 
 96,520 
 
 $727 
 
 725 
 
 769 
 743 
 764 
 751 
 
 737 
 713 
 756 
 
 8S5 
 951 
 
 $759 
 786 
 755 
 769 
 751 
 
 730 
 
 692 
 687 
 686 
 602 
 
 a U. S. Census of Electric Light and Power Stations, p. 120. 
 6 Roughly estimated. 
 c Computed by division. 
 d Interpolated' along a smooth curve. 
 ' See Table 13G. 
 
 / Bureau of Labor Statistics index carried back by means of a special study; see 
 Table 2C. 
 
 It is evident that the purchasing power of the average earnings has 
 failed to keep pace with the rising price level. Whether this is due to the 
 substitution of a poorer grade of employees or a failure to raise wage rates 
 in proportion to the increase in the price level is not indicated by the data 
 at hand. 
 
 It seems impracticable to measure with any degree of accuracy the 
 output per employee or per capita for other periods than the Census years. 
 Those years are so spaced, however, that a comparison based thereon 
 answers many of the essential queries. The data appear in Table 131. 
 
 S
 
 PRIVATE ELECTRIC LIGHT AND POWER COMPANIES 167 
 
 TABLE 131 
 
 NUMBER OF KILOWATT HOURS PRODUCED PER EMPLOYEE AND PER 
 CAPITA BY PRIVATE ELECTRIC LIGHT AND POWER PLANTS 
 
 a U. S. Census of Central Electric Light and Power Stations, 1917, pp. 7~> and 120. 
 
 6 Estimated by means of a special study; sec § 2a. 
 
 c Census estimate quoted in Statistical Abstract of U. S., 1910, p. 076. 
 
 A glance at the table shows a remarkable increase in the amount of cur- 
 rent generated for each employee at work, and also for each person in the 
 country. Whether any part or all of the increased production per employee 
 is due to greater diligence on the part of the average worker could only be 
 determined by further investigation. It is clear that electrical energy 
 produced by commercial plants is playing a rapidly increasing role in 
 meeting the power requirements of our industries.
 
 CHAPTER 14 
 TELEGRAPHS 1 
 
 § 14a. The Census Figures 
 
 The Telegraph industry was covered by the Census in 1907, 1912, and 
 1917, years admirably located so far as the period 1909 to 1918 is concerned 
 and the figures are in a form so well adapted to the needs of this investiga- 
 tion that estimates for the Census years may be made with reasonable 
 accuracy. The Census presents the figures for wireless telegraphs in a cat- 
 egory separate from that dealing with land telegraphs and ocean cables, 
 but all have been combined in the study here presented. Table 14A 
 covers the Census data. 
 
 § 14b. Disbursements to Stock and Bond Holders 
 
 The entries in Table 14A are presumably fairly close to the truth. The 
 next problem is to interpolate estimates for the intercensal years. Most 
 of the telegraph industry is in the hands of the Western Union and the 
 Mackay Companies; hence it would seem an exceedingly simple matter to 
 use their records for the purpose mentioned. As a matter of fact, accurate 
 interpolation by this method is impossible. Some of the obstacles are as 
 follows: 
 
 1 . The Mackay Company is a holding company and it does not present 
 a consolidated account or reports for most of its subsidiaries. 
 
 2. Much of the recorded business of both companies has apparently 
 been excluded from the Census, the reason for the exclusion not being 
 ascertainable, but presumably duplication in accounts has been discovered. 
 
 3. The accounts of the Mackay subsidiaries are not presented in suffi- 
 cient detail to answer our purposes. 
 
 4. The fiscal years of the corporations do not correspond with the calen- 
 dar years. 
 
 The net result is that the corporation reports and Census figures for the 
 same years show no resemblance to each other. It has, however, been felt 
 that the use of the corporation statistics, unsatisfactory as they are, will 
 give slightly better results than would direct interpolations along smooth 
 curves — hence the usual procedure has been followed, the criteria chosen 
 being indicated in the tables. The reader is warned, however, against 
 
 1 Mr. William A. Countryman of the Census Bureau has been kind enough to read over 
 this report and offer valuable suggestions, most of which have been adopted. 
 
 168
 
 TELEGRAPHS 
 
 TABLE 14A 
 
 1G9 
 
 THE ESTIMATED VALUE PRODUCT IN THE CENSUS YEARS OF THE 
 TELEGRAPH INDUSTRY IN THE CONTINENTAL UNITED STATES 
 
 Year 
 
 1907 
 
 1912 
 
 1917 
 
 Dividend Payment s.« (Thousands) 
 
 $ 7,477 
 2,653 
 
 $ 6,180 
 2,769 
 
 S 9,928 
 2,584 
 
 
 Total Payments for Interest and Dividends (Thousands 
 Receipts of Interest and Dividends from Other Corpo- 
 
 $10,130 
 1,415 
 
 $ 8,949 
 780 
 
 $12,512 
 
 2,547 
 
 Interest and Dividend Payments Originating in the 
 Telegraph Industrv. (Thousands) 
 
 $ 8,715 
 1,221 
 
 S 8,169 
 1,686 
 
 S 9,965 
 
 _'. I9S 
 
 Rent of Offices and Real Estate.** (Thousands) 
 
 Total Disbursements to Property Owners. (Thousands) 
 Savings e of All Companies/* (Thousands) 
 
 $ 9,936 
 2,173 
 
 $ 9,855 
 209 
 
 $12,463 
 8,625 
 
 
 $12 109 
 
 $10,064 
 
 $21, OSS 
 
 
 
 
 $17 890 
 
 $25,609 
 50* 
 
 $40,105 
 330* 
 
 Estimated Other Compensation to Employees^ (Thou- 
 sands) 
 
 10'< 
 
 
 
 
 $ 1 7 900 
 
 $25,659 
 
 $40,435 
 
 
 
 Average Number of Emplovees Actually at Work 
 
 Average Pull-time Annual Compensation per Employee 
 
 28,210 
 $635 
 
 38,253 
 
 s< 171 
 
 52,160 
 $775 
 
 SUMMARY, 
 
 Total Share of Property. (Thousands) 
 
 Total Share of Employees. (Thousands) 
 
 $12,109 
 17,900 
 
 $10,064 
 
 L'."»,659 
 
 $2 LOSS 
 40 435 
 
 
 
 Total Value Product of Industrv. (Thousands) 
 
 Per Cent of Value Product Going to Employees 
 
 $30,009 
 
 59.6 
 
 $35,723 
 71.8 
 
 $61,523 
 65 6 
 
 T. = United States Census of Telegraphs. 
 
 a T. 1917, pp. 16, 23, and 25. 
 
 6 T. 1917, pp. 16, 23, and 25; a study of the income statements of the Western Union 
 and Mackay Companies shows thai practically the entire amount recorded by the 
 Census as "Interest" must be bond interest. The items here given fail to include the 
 mortgage interest paid by the wireless companies. The exact amounts are unknown 
 but they are too small to be of moment. 
 
 c T. 1917, pp. 16, and 25. The consolidated balance sheet shows such large holdings 
 fif securities that apparently the Census item "Income from other sources" must con- 
 sist primarily of bond interest and dividends; see T. 1!U7, pp. 22 23. This item is not 
 reported for wireless companies; hence it is assumed to be* negligible and is omitted from 
 consideration. 
 
 d T. 1917, pp. 17 and 23. A small item was added in each year for estimated rent 
 paid by wireless stations. The estimates were tit), 56, and 63 thousands of dollars for 
 the respective Census years beginning with 1907. The estimates were based on as- 
 sumed annual rents per station of 8500 in 1007, §750 in 1912, and $1,000 in 1917. The 
 final estimate of total gross rents was multiplied by 0.7 in order to obtain a figure for 
 net rents, the 0.3 being allowed for repairs, depreciation, etc. 
 
 c Commonly called "Corporate surplus." 
 
 /T. 1917, pp. 14, 22, and 25.
 
 170 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 14A NOTES— Continued^ 
 
 g Pensions, compensation for injuries, etc. 
 
 /( Pure guesses. 
 
 » An organized system of benefits was initiated by the Western Union Co. in 1916; 
 for amount, see Standard Corporation Record card for 1920, No. VV1. 
 
 attaching too great importance to apparent fluctuations from year to year 
 as, in some instances, such variations in the figures are doubtless due 
 wholly to purely accidental errors. Were it not that the data are all tied 
 
 TABLE 14B 
 
 THE ESTIMATED GROSS DISBURSEMENTS IN THE FORM OF DIVIDENDS 
 AND INTEREST ON THE FUNDED DEBT MADE BY ALL TELEGRAPH 
 CORPORATIONS IN THE CONTINENTAL UNITED STATES 
 
 
 Dividend payments in thousands 
 
 Interest payments in thousands 
 
 
 
 
 of dollars 
 
 
 of dollars 
 
 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 II 
 
 I 
 
 Divi- 
 
 
 
 
 
 
 
 Interest 
 
 
 Esti- 
 
 plus 
 
 
 
 Combined 
 
 
 Esti- 
 
 
 paid by 
 
 
 mated 
 
 interest 
 
 
 Census 
 
 dividends 
 
 
 mated 
 
 Census 
 
 Western 
 
 
 interest 
 
 (Thou- 
 
 Cal- 
 
 figures, 
 
 of West- 
 
 Ratio 
 
 divi- 
 
 figures, 
 
 Union 
 
 Ratio 
 
 on 
 
 sands of 
 
 endar 
 
 all 
 
 ern Union 
 
 of 
 
 dends of 
 
 all 
 
 and the 
 
 of 
 
 funded 
 
 dollars) 
 
 year 
 
 com- 
 
 and 
 
 B toC 
 
 all com- 
 
 com- 
 
 Com- 
 
 F to G 
 
 debt of 
 
 E + I 
 
 
 panies a 
 
 Mack ay 
 CosM 
 
 
 panies 
 
 DXC 
 
 panies a 
 
 mercial 
 ( lablec 
 
 
 all com- 
 panies 
 
 
 
 
 
 
 
 
 CosM 
 
 
 GXH 
 
 
 1907 
 
 7,477 
 
 6,947 
 
 1 . 070 d 
 
 7,477 a 
 
 2,653 
 
 9,576 
 
 .2770-/ 
 
 2,653 a 
 
 10,130 
 
 1909 
 
 
 6,62:1 
 
 ,933<" 
 
 6,180 
 
 
 9,710 
 
 .2861 « 
 
 2,778 
 
 8,958 
 
 1910 
 
 
 7,05!) 
 
 . 894 e 
 
 6,310 
 
 
 9,711 
 
 . 2887 « 
 
 2,804 
 
 9,114 
 
 1911 
 
 
 7,060 
 
 . 88 1 ' 
 
 6,240 
 
 
 9,700 
 
 .2901e 
 
 2,814 
 
 9,054 
 
 1912 
 
 6,1X0 
 
 7,061 
 
 S75 d 
 
 6,180a 
 
 2,769 
 
 9,503 
 
 .2914d 
 
 2,769 a 
 
 8,949 
 
 1913 
 
 
 7,061 
 
 .872« 
 
 6,160 
 
 
 9,337 
 
 . 2900 e 
 
 2,708 
 
 8,868 
 
 1914 
 
 
 8,058 
 
 . 872 e 
 
 7,026 
 
 
 9,337 
 
 . 2870 e 
 
 2,680 
 
 9,706 
 
 1915 
 
 
 9,055 
 
 .871* 
 
 7,887 
 
 
 9,336 
 
 2823 e 
 
 2,636 
 
 10,523 
 
 1916 
 
 
 10,054 
 
 . 870 e 
 
 8,747 
 
 
 9,332 
 
 ■2775 <■ 
 
 2,590 
 
 11,337 
 
 1917 
 
 9,928 
 
 11,407 
 
 .870d 
 
 9,928 a 
 
 2,584 
 
 9,332 
 
 .2769d 
 
 2,584 a 
 
 12,512 
 
 1918 
 
 
 11,371 
 
 . 868 e 
 
 9,865 
 
 
 9,332 
 
 . 2760 e 
 
 2,576 
 
 12,441 
 
 1919 
 
 
 11,338 
 
 867 « 
 
 9,835 
 
 
 9,332 
 
 . 2754 e 
 
 2,570 
 
 12,405 
 
 a See Table 14A. The Census apparently excludes interest charges on bonds secured 
 by foreign cable lines and dividends paid to foreign investors. 
 
 b Figures for fiscal years 1907 to 1912 inclusive adjusted to calendar years by aver- 
 aging. Data from Poor's and Moody's Manuals of Public Utilities. 
 
 c The Commercial Cable Co. is a subsidiary of the Mackay Cos. 
 
 d Computed. 
 
 e Read from a smooth curve. 
 
 to the Census at five year intervals, the whole study might well be regarded 
 as practically worthless. As it is, it cannot well go far astray in the rela- 
 tively brief spaces of time intervening between Census years. 
 
 Not all of the payments to stock and bond holders are made from income 
 
 ^
 
 TELEGRAPHS 
 
 171 
 
 originating in the Telegraph field, for Telegraph Companies hold many 
 income bearing securities of outside concerns. Income derived from 
 these securities must be deducted, .since, according to our plan of operation, 
 it is assigned to the field in which it originates and must not be duplicated. 
 Some of these receipts may represent merely intercorporate payments 
 
 TABLE 14C 
 
 THE ESTIMATED NET DISBURSEMENTS OF DIVIDENDS VXD INTEREST 
 OX THE FUNDED DEBT MADE BY ALL TELEGRAPH CORPORATIONS 
 IN THE COXTIXEXTAL UNITED STATES 
 
 A 
 
 B 
 
 c 
 
 D 
 
 E 
 
 F 
 
 o 
 
 ( lalendar 
 year 
 
 Receipts 
 
 from 
 dividends 
 and bond 
 interest 
 of other 
 corpora- 
 tions in 
 Census 
 years a 
 (Thou- 
 sands) 
 
 $1,415 
 780 
 
 2,517 
 
 Income of 
 
 WCstern 
 Union ( 'o. 
 from loans 
 and invest- 
 ments 
 (Thou- 
 sands) 
 
 Hat LO of 
 
 BtoC 
 
 Estimated 
 income of 
 all com- 
 panies 
 
 from 
 divi lends 
 and bond 
 interest 
 (Thou- 
 sands) 
 CXD 
 
 ( rross divi- 
 dends and 
 
 interesl 
 on funded 
 debt paid/ 
 (Thou- 
 sands 
 
 Payments of 
 dividends 
 
 and interest 
 on funded 
 
 debt 
 originating 
 in telegraph 
 
 industry 
 (Thousands) 
 
 F — E 
 
 1907 
 
 1909 
 
 1910 
 
 1911 
 
 L912 
 
 1913 
 
 Kill 
 
 1915 
 
 L916 
 
 1917 
 
 litis 
 
 1919 
 
 $1,460 e 
 
 1,640 c 
 1,408 6 
 1,5036 
 1,1826 
 1,116 6 
 
 1,0236 
 1,3046 
 
 1.702 6 
 1,4856 
 1,3916 
 
 1,607 6 
 
 .97 d 
 
 .NO' 
 
 . 75 ■ 
 .70* 
 .66 ' 
 .73« 
 
 93 e 
 
 1.30« 
 
 1 DO-' 
 1 72'/ 
 1.80 
 1 86 « 
 
 •81,415 
 
 1,311 
 
 1,055 
 
 1,051 
 
 780 
 
 815 
 
 952 
 1,697 
 2.725 
 2,5 17 
 2,510 
 2,993 
 
 810,130 
 
 8,958 
 
 9,11 1 
 9,054 
 8,949 
 
 8,8uS 
 
 !>.706 
 10,523 
 1 1 .337 
 12,512 
 12.111 
 12,405 
 
 $8,715 
 
 7,647 
 8,059 
 8,003 
 8,169 
 8,053 
 
 8,754 
 8,826 
 8,612 
 9,965 
 9,931 
 9,412 
 
 a See Table 14 A. 
 
 6 Moody's Manual of Public Utilities for 1920, pp. 1130 1 L32. 
 
 c Assumed that ratio of this income to that of 1910 is the same as the ratio of net 
 earnings for the same years — data are missing. 
 d Computed. 
 
 e Read from a smooth curve. 
 /See Table 14B. 
 
 within the industry. Such payments, of course, must be eliminated. 
 Table 14C represents an attempt to get rid of all duplication and arrive 
 at the actual net disbursements made in the form of interest and dividends. 
 To the net disbursements in the form of dividends and interest must be 
 added the rents paid for offices and real estate if we are to arrive at the
 
 172 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 total net payments going to individuals who have property claims against 
 the industry. Rents have been assumed to vary roughly in proportion to 
 the gross revenues of the Western Union Company, the theory being that 
 more business requires more office space and that gross revenues measure 
 
 TABLE 14D 
 
 THE ESTIMATED TOTAL DISBURSEMENTS TO ENTREPRENEURS AND 
 OTHER PROPERTY OWNERS MADE BY THE TELEGRAPH INDUSTRY 
 OF THE CONTINENTAL UNITED STATES 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 
 
 
 
 
 
 Total dis- 
 
 
 
 
 
 
 Net pay- 
 
 bursements 
 
 
 Rent of 
 
 Gross earn- 
 
 
 Estimated 
 
 rent paid 
 
 for offices 
 
 (Thousands) 
 
 CX D 
 
 ments of 
 
 to entre- 
 
 Cal- 
 
 offices and 
 
 ings of 
 
 
 dividends 
 
 preneurs 
 
 endar 
 
 real estate 
 
 Western 
 
 Ratio of 
 
 and interest 
 
 and other 
 
 year 
 
 in Census 
 years a 
 
 Union 
 
 Company & 
 
 B toC 
 
 on funded 
 debt g 
 
 property 
 owners 
 
 
 (Thousands) 
 
 (Thousands) 
 
 
 (Thou- 
 
 (Thou- 
 
 
 
 
 
 
 sands) 
 
 sands) 
 
 E + F 
 
 1907.. 
 
 $1,221 
 
 $30,719 
 
 .0397d 
 
 $1,221/ 
 
 $8,715 
 
 $ 9,936 
 
 1909. . 
 
 
 31,647 
 
 .0393e 
 
 1,244 
 
 7,647 
 
 8,891 
 
 1910.. 
 
 
 34,116 
 
 . 0390 e 
 
 1,331 
 
 8,059 
 
 9,390 
 
 1911. . 
 
 
 38,570 
 
 . 0387 « 
 
 1,493 
 
 8,003 
 
 9,496 
 
 1912. . 
 
 1,686 
 
 44,024 
 
 . 0383 d 
 
 1,686 / 
 
 8,169 
 
 9,855 
 
 1913.. 
 
 
 45,784 
 
 . 0374 « 
 
 1,712 
 
 8,053 
 
 9,765 
 
 1914.. 
 
 
 46,21 i5 
 
 . 0360 <■ 
 
 1,666 
 
 8,754 
 
 10,420 
 
 1915.. 
 
 
 51,172 
 
 . 0345 « 
 
 1,765 
 
 8,826 
 
 10,591 
 
 1916. . 
 
 
 61,919 
 
 . 0334 « 
 
 2,068 
 
 8,612 
 
 10,680 
 
 1917. . 
 
 2,498 
 
 76,996 
 
 . 0324 d 
 
 2,498 / 
 
 9,965 
 
 12,463 
 
 1918. . 
 
 
 86,702 h 
 
 .0319" 
 
 2,766 
 
 9,931 
 
 12,697 
 
 1919. . 
 
 
 103,756 c 
 
 .0315 «■ 
 
 3,268 
 
 9,412 
 
 12,6S0 
 
 a See Table 14A. 
 
 b Amounts for fiscal years 1907-1912 averaged to obtain estimates for calendar 
 years. Data derived from Poor's and Moody's Manuals of Public Utilities. 
 
 c Data from card issued Jan. 17, 1921, by Standard Corporation Service. 
 
 d Computed. 
 
 e Read from smooth curve. 
 
 / Census figures — see Table 14A. 
 
 o See Table 14C. 
 
 * Other income of $1,391,128 subtracted from gross income as reported in Statistical 
 Abstract of U. S. for 1919, p. 321. "Other Income" reported in Moody's Manual of 
 Public Utilities for 1920, p. 1161. 
 
 the value of business done. It has also been assumed that 30 per cent of 
 the gross rent is necessary to cover expenses of operating the buildings 
 and allowances for depreciation, leaving only 70 per cent as net income 
 from the investment in the buildings and land. The final estimates appear 
 in Table 14D. 
 
 ^
 
 TELEGRAPHS 
 
 173 
 
 § 14c. Corporate Savings 
 
 The estimates presented in the preceding tables, while probably inac- 
 curate, nevertheless presumably approach the truth. No estimate is, 
 however, complete if the corporate savings are left out. It may be true 
 that these companies have saved much in addition to their normal surplus 
 by charging improvements to operating expenses. Whether this possi- 
 
 TABLE HE 
 
 THE ESTIMATED TOTAL SHARE OF THE ENTREPRENEURS AND OTHER 
 PROPERTY OWNERS IN THE VALUE PR< >DUCT ( >F TELEGRAPH ( '< >M 
 PANIES IN THE CONTINENTAL UNITED STATES, A CRUDE APPROXI- 
 MATION TO THE CORPORATE SAVINGS OF THESE COMPANIES 
 BEING INCLUDED 
 
 
 
 Amounts 
 
 in Thousands of Dollars 
 
 
 
 
 
 
 
 Total disburse- 
 
 
 
 Reported 
 
 
 Total dis- 
 
 ments to 
 
 Calen- 
 
 Corporate 
 
 surplus of 
 
 Estimated 
 
 bursements 
 
 propertied 
 
 dar 
 
 savings, as 
 
 Marconi, 
 
 corporate 
 
 of interest on 
 
 classes and cor- 
 
 year 
 
 reported by 
 
 Mackay, and 
 
 savings of all 
 
 funded debt, 
 
 porate surplus 
 
 
 the Census a 
 
 Western Union 
 
 companies 
 
 dividends 
 
 (Sum of two 
 
 
 
 Companies b 
 
 
 and rent e 
 
 preceding 
 
 
 
 
 
 
 columns) 
 
 1907. . 
 
 $2,173 
 
 $ 111 
 
 12,173 c 
 
 S 9,936 
 
 §12,109 
 
 1909 . 
 
 
 2,758 
 
 5,000 d 
 
 8,891 
 
 13,891 
 
 1910. . 
 
 
 2,507 
 
 4,200 d 
 
 9,390 
 
 13,590 
 
 1911. . . 
 
 
 1,728 
 
 2,500<* 
 
 9,496 
 
 11,996 
 
 1912. . . 
 
 209 
 
 820 
 
 209 c 
 
 9,855 
 
 10,064 
 
 1913. . 
 
 
 540 
 
 300 d 
 
 9,765 
 
 10,065 
 
 1914. . . 
 
 
 649 
 
 1,000'/ 
 
 10,420 
 
 11,420 
 
 1915. . . 
 
 
 5,508 
 
 7,000'/ 
 
 10,591 
 
 17,591 
 
 1916. . . 
 
 
 6,228 
 
 8,100'/ 
 
 10,680 
 
 18,780 
 
 1917. . . 
 
 8,625 
 
 7,383/ 
 
 8,625 '• 
 
 12,463 
 
 21,088 
 
 1918. . . 
 
 
 4,637/ 
 
 5,410-/ 
 
 12,697 
 
 is, 107 
 
 1919. . . 
 
 
 6,101/ 
 
 7,130 / 
 
 12,680 
 
 19,810 
 
 a See Table 14 A. 
 
 b Compiled from the annual reports represented in Poor's and Moody's Manuals 
 of Public Utilities. Amounts for fiscal years adjusted by averaging to obtain estimates 
 for the calendar years. 
 
 c Census figures — see Table 1 1 A. 
 
 d Crudely estimated bv aid of a smooth curve. 
 
 « See Table 14D. 
 
 / Surplus of Western Union Co. only. 
 
 bility has been duly considered and guarded against in compiling the Cen- 
 sus reports, is not known. It is certain, however, that the published cor- 
 poration reports of surplus show no resemblance to the ones given by the 
 Census. It has proved impossible, therefore, to interpolate the estimates
 
 174 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 for the surplus according to the usual rules. The best that can be done 
 with the data at hand is to adjust the figures roughly so that the principal 
 fluctuations shown by the corporation reports are given consideration. 
 These crude results appear in Table 14E. 
 
 § 14d. Purchasing Power of Share of Property Owners and Entrepreneurs 
 
 The purchasing power of the income received by property owners is 
 arrived at by dividing the number of dollars by an index of the average 
 
 TABLE 14F 
 
 THE PURCHASING POWER OF THAT PART OF THE INCOME DERIVED 
 FROM THE TELEGRAPH INDUSTRY OF THE CONTINENTAL UNITED 
 STATES DISBURSED TO ENTREPRENEURS AND OTHER PROPERTY 
 OWNERS OR SAVED BY THE CORPORATIONS 
 
 (Amounts in Thousands of Dollars) 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 Calen- 
 dar 
 year 
 
 Disburse- 
 ments to en- 
 trepreneurs 
 and other 
 property 
 owners a 
 
 Index of 
 prices of 
 goods con- 
 sumed by 
 wealthy 
 classes c 
 
 Purchasing 
 power at 
 prices of 
 
 1913 
 B -h C 
 
 Corporate 
 savings b 
 
 Index of 
 
 construction 
 
 costs d 
 
 < '< instructive 
 
 power of 
 
 corporate 
 
 savings at 
 
 prices of 1913 
 
 E -=- F 
 
 1907 . . . 
 
 L909 .. . 
 
 1910 . . . 
 
 1911 . . . 
 
 1912 ... 
 
 1913 . . . 
 
 1914 .. . 
 
 1915 . . . 
 
 1916 . . . 
 
 1917 .. . 
 
 1918 . . . 
 
 1919 .. . 
 
 $ 9,936 
 
 8,891 
 9,390 
 9,496 
 9,855 
 
 9,765 
 10,420 
 10,591 
 10,680 
 
 12,463 
 12,697 
 12,680 
 
 .973 
 
 .988 
 
 .995 
 
 1.000 
 
 1.000 
 
 1.010 
 
 .996 
 
 1.074 
 
 1.198 
 1.364 
 1.628 
 
 $ 9,138 
 9,504 
 9,544 
 
 9,855 
 
 9,765 
 10,317 
 10,634 
 
 9,944 
 
 10,403 
 9,309 
 7,789 
 
 $2,173 
 
 5,000 
 
 4,200 
 
 2,500 
 
 209 
 
 300 
 1,000 
 7,000 
 8,100 
 
 8,625 
 5,410 
 7,130 
 
 1.023 
 
 .881 
 .903 
 .903 
 
 .982 
 
 1.000 
 
 .968 
 
 1.059 
 
 1.336 
 
 1.495 
 1.525 
 1.607 
 
 82,124 
 
 5,675 
 
 4,651 
 
 2,769 
 
 213 
 
 300 
 1,033 
 6,610 
 6,063 
 
 5,769 
 3,548 
 4,437 
 
 a See Table 14D; includes interest, dividends, and rents. 
 b See Table 14E. 
 
 c See Table 2E; represents families spending on the average, $25,000 per annum. 
 d Worked out by the statistical department of the American Telephone and Tele- 
 graph Co. 
 
 prices of commodities consumed by the well-to-do classes. This opera- 
 tion has been carried out and the results appear in Table 14F. 
 
 A glance at Table 14F makes it evident that the lean period for the 
 owners of the telegraph industry was in 1912 and 1913. This was followed 
 by a period of prosperity; although, in 1918, the share of the property 
 owners again declined slightly, only to recover again in 1919. 
 
 <*
 
 TELEGRAPHS 
 
 175 
 
 § 14e. The Number of Employees and Their Share in the Value Product 
 
 The corporate reports of the telegraph companies do not show either the 
 number of employees or the amounts paid in wages. They do not even tell 
 how many messages have been sent. It is, therefore, impossible to inter- 
 polate these quantities between the years in which we have Census data 
 
 TABLE 14G 
 
 THE ESTIMATED SHARE OF THE EMPLOYEES IN THE VALUE PRODUCT 
 OF THE TELEGRAPH INDUSTRY OF THE CONTINENTAL UNITED 
 STATES 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 Calendar 
 
 year 
 
 Wages and 
 
 salaries paid 
 
 in Census 
 
 years a 
 
 (Thousands) 
 
 Total operat- 
 ing expenses 
 of the West- 
 ern Union 
 
 Co.W 
 (Thousands) 
 
 Ratio of 
 Bto C 
 
 Esl imated 
 total wages 
 
 and salaries 
 
 (Thousands) 
 
 CX D 
 
 Estimated 
 benefits 
 
 paid to 
 employees/ 
 
 (Thou- 
 sands) 
 
 Total com- 
 pensation of 
 
 employees 
 
 Thou- 
 sands) 
 E + F 
 
 1907 
 
 1909 
 
 1910 
 
 1911 
 
 1912 
 
 1913 
 
 1914 
 
 1915 
 
 1916 
 
 1917 
 
 1918 
 
 1919 
 
 $17,890 
 25,609 
 
 40,105 
 
 $18,641 
 
 21,904 
 28,334 
 33,063 
 39,521 
 
 42,327 
 10.579 
 10,973 
 18,728 
 
 62,783 
 76,713 
 
 78,6 16 
 
 .960 c 
 
 .706'/ 
 .673^/ 
 . 657 d 
 .648c 
 
 . 647 d 
 
 .615'/ 
 .643'/ 
 .612'/ 
 
 . 639 e 
 
 .639'/ 
 
 638 d 
 
 $ 17,890 « 
 
 17,580 
 
 19,070 
 21.710 
 25,609 « 
 
 27,390 
 26,200 
 26,320 
 31,260 
 
 40,105 ■ 
 
 49,000 
 
 50,160 
 
 $ 10 
 
 20 
 30 
 40 
 50 
 
 60 
 
 70 
 
 80 
 
 330 
 
 330 
 330 
 330 
 
 §17,900 
 
 17,600 
 19,100 
 21,750 
 25,659 
 
 27,450 
 26,270 
 26,400 
 
 3 1.5'. »0 
 
 40,435 
 1H.330 
 50,490 
 
 a See Table 11 A. 
 
 b Figures for fiscal years 1907 to 1912 averaged to obtain estimates for calendar years; 
 for data see Poor's and Moody's Manuals of Public Utilities. 
 
 c Computed. 
 
 d Head from a smooth curve. 
 
 e Census figures - sec Table 1 IA. 
 
 /The Western Union Co. established a system of benefits in 1916. See Cards \Y1 
 and 2, of Standard Corporation Record Service. Before that date, payments were 
 probably rather insignificant. The amounts entered for years previous to 1916 are 
 pure guesses. 
 
 with any degree of precision. Since, however, an estimate must be made, 
 recourse has been had to the assumptions that the wages are proportional 
 to total operating expenses and that the number of employees varies in 
 proportion to a combination of the total volume of business done, and the 
 number of offices operated. This index is chosen because it is evident 
 that the number of offices is a matter of fundamental moment in this con-
 
 176 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 nection, and it seems reasonable to suppose that, in times of flush business, 
 the companies would find it imperative to increase somewhat the average 
 number of employees per office. The fact that the index maintains a 
 fairly constant ratio to the Census figures seems to show that it has some 
 merit. The attempt is made to measure the volume of business by dividing 
 the gross revenues by an index representing the price of messages. No 
 record has been found showing any changes in the rates for messages until 
 March 31, 1919; hence, during the period 1909 to 1918, this price index 
 has been assumed to be constant. 
 
 The application of these assumptions appears in Tables 14G and 14H. 
 
 TABLE 14H 
 
 THE ESTIMATED TOTAL ANNUAL VALUE PRODUCT OF THE TELEGRAPH 
 INDUSTRY OF THE CONTINENTAL UNITED STATES AND THE PRI- 
 MARY DIVISION OF THIS PRODUCT 
 
 
 Values in thousands of dollars 
 
 
 Calendar 
 year 
 
 Total value 
 product 
 
 Total compensa- 
 tion of 
 employees a 
 
 Disbursements to 
 
 property owners 
 
 and corporate 
 
 surplus b 
 
 Per cent of value 
 product going 
 to employees 
 
 1907 
 
 1909 
 
 1910 
 
 1911 
 
 1912 
 
 1913 
 
 1914 
 
 1915 
 
 1916 
 
 1917 
 
 1918 
 
 1919 
 
 $30,009 
 
 31,491 
 32,690 
 33,746 
 35,723 
 
 37,515 
 37,690 
 43,991 
 50,370 
 
 61,523 
 67,437 
 70,300 
 
 $17,900 
 
 17,600 
 19,100 
 21,750 
 25,659 
 
 27,450 
 26,270 
 26,400 
 31,590 
 
 40,435 
 49,330 
 50,490 
 
 $12,109 
 
 13,891 
 13,590 
 11,996 
 10,064 
 
 10,065 
 11,420 
 17,591 
 18,780 
 
 21,088 
 
 18,107 
 19,810 
 
 59.6 
 
 55.9 
 58.4 
 64.5 
 71.8 
 
 73.2 
 69.7 
 60.0 
 62.7 
 
 65.7 
 73.1 
 71.8 
 
 a See Table 14G, Column G. 
 b See Table 14E, last column. 
 
 The compilation of Table 14G makes it possible to ascertain what frac- 
 tion of the total value product of the telegraph industry goes to compen- 
 sate the employees for their efforts. The facts in this connection appear 
 in Table 14H. 
 
 The general conclusion must be that, while the percentages have fluctu- 
 ated violently, the employees since 1911, have tended to receive a greater 
 and the property owners, a lesser share of the total value product than was 
 the case during the period 1907 to 1911. 
 
 ,*
 
 TELEGRAPHS 
 
 177 
 
 § 14f. Average Annual Earnings of Employees 
 
 Tables 141 and 14J throw light on the changes that have occurred in 
 the size of the average reward of employees in the telegraph industry. 
 
 TABLE 141 
 
 THE ESTIMATED NUMBER OF PERSONS AT WORK FOR OR NORMALLY 
 EMPLOYEE BY THE TELEGRAPH ( '< >MPANIES OF THE CONTINENTAL 
 UNITED STATES 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 H 
 
 I 
 
 J 
 
 K 
 
 Cal- 
 endar 
 year 
 
 Average 
 
 number 
 
 employed 
 
 in 
 
 Census 
 
 years <* 
 
 Gross 
 operating 
 revenues 
 of Western 
 
 Union 
 Company'' 
 (Thou- 
 sands) 
 
 Index 
 of 
 
 tele- 
 graph 
 
 rates c 
 
 Index of 
 physical 
 
 volume 
 
 of 
 business 
 
 C 
 
 D 
 
 Twice 
 
 the 
 number 
 
 of 
 \Wstern 
 Union 
 Tele- 
 graph 
 offices/ 
 
 Adjust- 
 ment 
 index for 
 number of 
 employees 
 E + F 
 
 Ratio of 
 B to G 
 
 Esti- 
 mated 
 number 
 of em- 
 ploy ees 
 actually 
 at work 
 G X II 
 
 of 
 number 
 attached 
 
 to 
 
 industry 
 who 
 
 were 
 actually 
 working? 
 
 Estimated 
 
 number 
 of em- 
 ployees 
 attached 
 
 to 
 
 industry 
 
 I-f-J 
 
 1907 
 
 1909 
 1910 
 1911 
 1912 
 1913 
 
 1914 
 1915 
 1916 
 
 1917 
 1918 
 
 1919 
 
 28,210 
 38,253 
 
 52,160 
 
 $30,719 
 
 31,647 
 34,116 
 
 38,570 
 44,024 
 
 45,784 
 
 46,265 
 51,172 
 61,919 
 76,996 
 86,702 
 
 103,756 
 
 1.00 
 
 1.00 
 1.00 
 1.00 
 1.00 
 1.00 
 
 1.00 
 1.00 
 1.00 
 1.00 
 1.00 
 
 1.15 
 
 30,719 
 
 31,647 
 34,116 
 38,570 
 44,024 
 45,784 
 
 46,265 
 51,172 
 61,919 
 76,996 
 
 86,702 
 
 90,223 
 
 48,613 
 
 49,156 
 
 49,751 
 50,318 
 51,392 
 50,120 
 
 51,568 
 50,284 
 50,468 
 50,932 
 50,904 
 
 50,318 
 
 79,332 
 
 S0.803 
 83,867 
 88,888 
 95,416 
 95,904 
 
 97,833 
 101,456 
 112,387 
 127,928 
 137,606 
 
 140,511 
 
 .3556c 
 
 . 382 1 d 
 .3913'' 
 .3971d 
 . 4009 c 
 .4025^ 
 
 . 4031 d 
 .4061 d 
 A072d 
 
 .4077 c 
 .4083 d 
 
 .4087 d 
 
 28,210 
 
 30,900 
 
 32,SL > () 
 35,300 
 38,253 
 
 38,600 
 
 39,470 
 
 41.200 
 15,760 
 52, 160 
 56,185 
 
 57,440 
 
 .976 
 
 964 
 
 964 
 
 .967 
 
 '.Mis 
 
 .950 
 
 943 
 .933 
 
 975 
 
 979 
 
 .971 
 
 .980'' 
 
 28,800 
 
 32,050 
 34,050 
 
 36,500 
 39,500 
 40,650 
 
 41,850 
 44.150 
 46,920 
 53,300 
 57,870 
 
 58,600* 
 
 a Census figures — see Table 14A. 
 
 b See Table 14D, Column C. 
 
 c Computed. 
 
 d Read from a smooth curve. 
 
 > For origin, see text. Hates were raised 20 per cent on March 31, 1919. 
 
 f Statistical Abstract of the U. S. and Moody's Manual of Public Utilities. 
 
 o Estimated by means of a special study recorded in Table 2K. 
 
 h Tentative estimate only. 
 
 It is evident that among the regular employees of every industry, there 
 are, at any given time, a considerable number who are not at work. This 
 being true, the average number at work is necessarily always consider- 
 ably less than the number who depend on the industry for a livelihood. 
 The Census records only the number actually at work. In the last col- 
 umns of Table 141, this item has been adjusted in a way intended to give 
 an approximation to the number attached to the industry. The mode of 
 adjustment used is described in § 2d.
 
 178 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 Table 14J is devoted to an estimate of the average amount received 
 annually by each employee commonly employed by telegraph companies 
 and the purchasing power of that amount on the basis of prices of 1913. 
 
 TABLE 14J 
 
 THE ESTIMATED AVERAGE ANNUAL COMPENSATION OF WORKERS 
 NORMALLY EMPLOYED IN THE TELEGRAPH INDUSTRY OF THE 
 CONTINENTAL UNITED STATES 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 Year 
 
 Estimated 
 total 
 
 compensa- 
 tion paid to 
 
 employees « 
 (Thousands) 
 
 Estimated 
 
 number of 
 
 employees 
 
 normally 
 
 attached 
 
 to this 
 
 industry & 
 
 Average 
 money com- 
 pensation 
 per employee 
 B -=-C 
 
 Average 
 index of 
 prices 
 of com- 
 modities 
 bought by 
 manual and 
 clerical 
 workers 
 
 Annual com- 
 pensation of 
 the average 
 employee in 
 dollars of 
 1913 value 
 D -=-E 
 
 1909 
 
 1910 
 
 1911 
 
 1912 
 
 1913 
 
 1914 
 
 1916 
 
 1917 
 
 1918 
 
 1919 
 
 $17,600 
 19,100 
 21,750 
 25,659 
 27,450 
 
 26,270 
 26,400 
 31,590 
 40,435 
 49,330 
 
 50,490 
 
 32,050 
 34,050 
 36,500 
 39,500 
 
 40,650 
 
 41,850 
 44,150 
 46,920 
 53,300 
 57,870 
 
 58,600 c 
 
 8549 
 561 
 5'. Mi 
 650 
 675 
 
 628 
 598 
 
 673 
 759 
 
 852 
 
 862 c 
 
 . 955 
 .978 
 . 984 
 ,994 
 1 . 000 
 
 1.01 
 
 1.03 
 1.10 
 
 1.29 
 1.58 
 
 1.773 
 
 S575 
 574 
 606 
 654 
 675 
 
 622 
 581 
 612 
 588 
 539 
 
 486 
 
 a See Table 14G. 
 
 b See Table 141. 
 
 c Tentative estimate only. 
 
 The errors in the data are too great to permit of drawing any conclu- 
 sions from the minor fluctuations in the recorded wage, but apparently 
 the purchasing power of the average employee's compensation tended 
 somewhat downward after 1913, and in 1919 was no higher than it was in 
 1909. It is then evident that a gain in the percentage of the value product 
 received does not necessarily mean an improvement in the general eco- 
 nomic welfare of those employed in an industry. 
 
 <*
 
 CHAPTER 15 
 TELEPHONES 
 
 § 15a. Introduction 
 
 Census Bureau reports on the telephone industry in 1907, 1912, and 1917 
 appear to be fairly complete, covering most facts of importance for all 
 enterprises of any considerable size, and collecting a few facts concerning 
 practically all telephone plants in the United States. This study is ba 
 upon the Census reports for those years. The American Telephone and 
 Telegraph Company controls about four-fifths of the telephone business 
 of the country, hence most interpolations have been made upon the basis 
 of the reports of its operations as given in Poor's or Moody's Manuals of 
 Public Utilities. 
 
 § 15b. Share of Entrepreneurs and Other Property Owners 
 
 In this, as in other similar fields, the value product is estimated by ascer- 
 taining those sums which have originated through the activities of this 
 particular industry and which have been disbursed to individuals or 
 secured by the corporations engaged in the telephone business. To ascer- 
 tain the amounts actually originating in the telephone industry, it is nec- 
 essary first to deduct from gross payments of bond interest and dividends 
 items of the same nature received from other corporations, since such items 
 are accounted for in the field in which they originated. 
 
 Following our standard plan of procedure, it is next necessary to esti- 
 mate the share of the entrepreneurs and other property owners in t he value 
 product for the intercensal years. Since the Bell system practically dom- 
 inates the field, interpolations have been made on the basis of the consoli- 
 dated financial statistics of the Bell companies as presented in Poor's 
 and Moody's Manuals of Public Utilities. The computations are shown 
 in Table 15B. 
 
 Table 15B shows that disbursements and surplus as measured in money 
 both increased from 1907 to 1916 but that, since that date, although dis- 
 bursements have continued to grow, less has been saved. However, these 
 figures need to be corrected for changes in the price level. Table l.">( ' has 
 been constructed to show the approximate equivalent in consumption 
 goods which the property owners could buy with their share of the prod- 
 uct for each of the various years. 
 
 179
 
 180 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 15A 
 
 THE ESTIMATED SHARE OF THE VALUE PRODUCT OF THE TELEPHONE 
 INDUSTRY OF THE CONTINENTAL UNITED STATES IN THE CENSUS 
 YEARS DISBURSED TO THE PROPERTY OWNERS OR SAVED BY THE 
 OWNING CORPORATIONS 
 
 1. Interest on Funded Debt a plus Dividends paid 
 by Larger n Companies. (In Thousands) 
 
 2. Interest on Funded Debt plus Dividends Re- 
 ceived by Larger Companies. (In Thousands). 
 
 3. Payments by larger Companies of Dividends and 
 Interest Originating in the Telephone Industry.'' 
 (In Thousands) 
 
 4. Net < Rent Paid by Larger Companies to Individ- 
 uals. (In Thousands) 
 
 Dividends, Rent, and Interest on the Funded 
 Debt Arising from the Operations of the Larger 
 Companies.*' (In Thousands) 
 
 C. Estimated Ratio of Dividend, Rent, and Interest 
 Payments of All Companies to Those of Larger 
 Companies only 
 
 7. Estimated Dividends, Rent, and Interest on the 
 Funded Debt Originating in the Entire Tele 
 phone Industry. (In Thousands) 
 
 1907 
 
 116 b 
 
 $ 1,025 b 
 
 $35,091 
 
 $ 1,092(7 
 
 $30,183 
 
 1 . 009 i 
 
 $36,500 
 
 1912 
 
 8. Savings or Corporate Surplus of the Larger Com- 
 panies. (In Thousands) 
 
 9. Estimated Savings of All Companies. v (In Thou- 
 sands) 
 
 10. Estimated Total Savings plus Disbursements to 
 the Property Owners.Q (In Thousands) 
 
 $19,926 b 
 $20,120 
 
 $56,620 
 
 $51,361 cd 
 $ 4,365<* 
 
 $46,996 
 $ 1,597 <** 
 
 $48,593 
 
 1 . 0577 ! >n 
 
 $51,500 
 
 $17,206 d 
 $18,210 
 
 $69,710 
 
 1917 
 
 $66,561 « 
 $ 4,496 «/ 
 
 $62,065 
 $ 1,413 m 
 
 $63,478 
 
 1.050* 
 
 $66,580 
 
 $14,127 e 
 
 $14,840 
 
 $81,420 
 
 T. = U. S. Census of Telephones. 
 
 a Includes beside bond interest, small amount paid as interest on real estate mort- 
 gages, b T. 1907, p. 65. 
 
 c In 1907, 76.7 per cent of all interest was interest on the funded debt and mortgages; 
 in 1917 the percentage had increased to 94.4. The percentage in 1912 was assumed to 
 be an average of these two, or 85.55 per cent. This percentage amounts to 17,240 
 thousands of dollars. 
 
 d T. 1912, p. 45. e T. 1917, p. 42. 
 
 /Telephone officials state that the item of "Interest from Other Sources" includes 
 but very small amounts of interest on bonds. It is assumed therefore that only 5 per 
 cent, or 160 thousands of dollars, has been accounted for in the reports of other industries. 
 
 o The item of "Rent of Offices and Real Estate," as given in T. 1912, p. 46, cannot 
 be used here, for it includes a large estimate for the rent of real estate owned by the 
 telephone companies; hence actual rent paid is assumed to equal 0.684 X Rent in 1912, 
 this being the ratio of the total operating expenses of 1907 to those of 1912. 
 
 h "Rent of Offices and Other Real Estate." 
 
 * Estimated on the basis of information obtained from telephone officials as being 
 47 per cent of all rentals. 
 
 J Assumed to vary in proportion to income; see T. 1907, p. 14. 
 
 k Assumed to vary as total revenue; see T. 1917, p. 10. 
 
 S
 
 TELEPHONES 
 
 181 
 
 TABLE 15A NOTES —Continued 
 
 1 Ratio obtained by following process: Ratio of wire mileage of small companies to 
 large was .0646 in 1912 and .0560 in 1917. Ratio of revenue of small to Large com- 
 panies was .050 in 1917. Then X : .050 :: .0648 : .0560. Therefore X = .0577. The 
 ratio sought is 1 + X, or 1.0577. 
 
 m T. 1912, p. 12. " Based on Census classification. 
 
 Product of items in the two preceding line.-.; equivalent to all net disbursements to 
 the propertied classes. 
 
 v Assumed that savings vary in the same proportion as do disbursements to property 
 owners; hence the items in line 9 are the products of those in lines and 8. In general 
 this item may be too large because some small companies may have failed and their 
 losses escaped the Census records or because some companies have not allowed enough 
 for depreciation, or it may be too small because they charged new construction to op- 
 erating expenses. Col. M. C. Rorty believes the recorded decline in savings is largely 
 the result of erroneous accounting. Complete evidence being lacking, however, it 
 seems best to accept the Census figures. 
 
 i Equals receipts as dividends, interest, and rent plus their claims to an ultimate 
 division of the corporate savings; in other words the sum of the items in lines 7 and 9. 
 
 T Difference of items in two preceding lines. 
 
 « Sum of items in two preceding lines. 
 
 1 The net rent is estimated as 70 per cent of the gross on the ground that 30 per cent 
 is required to cover maintenance and depreciation. 
 
 TABLE 15B 
 
 THE CORPORATE SAVINGS AND THE AMOUNTS PAID TO ENTRE- 
 PRENEURS AND OTHER PROPERTY OWNERS FROM THE VALUE 
 PRODUCT OF THE TELEPHONE INDUSTRY OF THE CONTINENTAL 
 UNITED STATES ESTIMATED FOR EACH YEAR 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 <; 
 
 H 
 
 I 
 
 
 Bstimated 
 
 
 
 
 
 
 
 
 
 total dis- 
 
 Bond in- 
 
 
 total dis- 
 
 iated 
 
 
 
 Estimated 
 
 
 bursements 
 
 terest and 
 
 
 bursemi nts 
 
 savings 1 >1 
 
 Surplus 
 
 
 savings oi 
 
 
 to 
 
 dividends 
 
 
 in 
 
 all com- 
 
 of Bell 
 
 
 all com- 
 
 \ear 
 
 propertied 
 
 paid by Hill 
 
 BtC 
 
 propertied 
 
 panies m 
 
 ( 'ompanies c 
 
 F ~ G 
 
 panies 
 
 
 classes in 
 
 Companies * 
 
 
 classes 
 
 ( ensus 
 
 (Thousands 
 
 
 (Thou- 
 
 
 Census 
 years <* 
 
 (Thousands i 
 
 
 (Thousan Is) 
 C X D 
 
 years •' 
 (Thousan Is) 
 
 
 
 san 
 G X 11 
 
 
 (Thousands) 
 
 
 
 
 
 
 
 
 1907 
 
 $36,500 
 
 .$28,317 b 
 
 1.289<* 
 
 $36,500 
 
 $20,120 
 
 $12,5246 
 
 1.607'/ 
 
 $20,120 
 
 1909 
 
 
 34,132 
 
 1.233< 
 
 42,085 
 
 
 14,236 
 
 1.515' 
 
 21,624 
 
 1910 
 
 
 36,718 
 
 1.211* 
 
 44,465 
 
 
 1 1,277 
 
 1.470* 
 
 211.' is? 
 
 1911 
 
 
 39,578 
 
 1.191' 
 
 47,2:1'', 
 
 
 12,009 
 
 1.425 « 
 
 17,113 
 
 1912 
 
 51,500 
 
 43,665 
 
 1.179*/ 
 
 51,500 
 
 18,210 
 
 13,221 
 
 l.377d 
 
 18,210 
 
 1913 
 
 
 46,955 
 
 1.165' 
 
 5 1.70:; 
 
 
 11,735 
 
 1.303< 
 
 15,291 
 
 1914 
 
 
 49,215 
 
 1.155 
 
 56,878 
 
 
 10,002 
 
 1.213- 
 
 12,432 
 
 1915 
 
 
 50,99: 1 
 
 1.115- 
 
 5S.100 
 
 
 15,189 
 
 1.100' 
 
 17,619 
 
 1916 
 
 
 53,539 
 
 1.139* 
 
 60,981 
 
 
 22,079 
 
 1 090* 
 
 24,066 
 
 1917 
 
 66,580 
 
 58,683 
 
 1 135 d 
 
 66,580 
 
 14,840 
 
 13,852 
 
 1.07!'/ 
 
 14,840 
 
 1918 
 
 
 62,846 
 
 1. 128 « 
 
 70,x<)() 
 
 
 12,213 
 
 1.070/ 
 
 13.06S 
 
 1919 
 
 
 67,533 
 
 1.123* 
 
 75,840 
 
 
 12,118 
 
 1.069/ 
 
 12,954 
 
 a See Table 15A. b Poor's Manual of Public Utilities, 1914, pp. 1092, 1096. 
 
 e See Moody's Manual of Public Utilities, 1920, p. 1363. 
 
 d Computed by division. ■ Read from a smooth curve. 
 
 /Computed by study of surpluses of non-Bell companies as recorded in Moody's 
 Manuals. 
 See Table 15A; also note p attached to that table.
 
 182 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 The price index used in reducing corporate savings to a basis of pur- 
 chasing power is one intended approximately to represent construction 
 costs. It is a composite of indices representing hourly wages of labor and 
 prices of the commodities used in the construction of telephone plants, 
 weighted in proportion to the amount of each commodity used. The index 
 was worked out by the statistical department of the American Telephone 
 and Telegraph Company. 
 
 TABLE 15C 
 
 THE PURCHASING POWER OF THE CORPORATE SAVINGS AND THE 
 DISBURSEMENTS MADE TO ENTREPRENEURS AND OTHER PROP- 
 ERTY OWNERS FROM THE NET VALUE PRODUCT OF THE TELE- 
 PHONE INDUSTRY 
 
 
 Disbursements to entrepreneurs 
 and other property owners 
 
 Corporate savings 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 Year 
 
 Rent, 
 dividends, 
 and bond 
 interest « 
 (Thou- 
 sands 
 
 Index of 
 prices of 
 consump- 
 tion goods 
 purchased 
 by wealthy 
 
 classes b 
 Base, 1913 
 
 Value at 
 prices of 
 
 1913 
 (Thou- 
 sands) 
 
 B -r C 
 
 Corporate 
 savings a 
 (Thou- 
 sands) 
 
 Index of 
 construc- 
 tion costs c 
 
 Value at 
 prices of 
 1913 
 (Thou- 
 sands) 
 E + F 
 
 1907. . . 
 
 1909. . . 
 1910.. . 
 1911.. 
 1912.. . 
 
 1913.. . 
 1914.. . 
 1915.. . 
 1916.. . 
 
 1917.. . 
 1918.. . 
 1919.. . 
 
 $36,500 
 
 42,085 
 44,465 
 47,256 
 51,500 
 
 54,703 
 56,878 
 58,400 
 60,981 
 
 66,580 
 70,890 
 75,840 
 
 .973 
 
 .988 
 
 .995 
 
 1.000 
 
 1.000 
 
 1.010 
 
 .996 
 
 1.074 
 
 1.198 
 1.364 
 1.628 
 
 $43,253 
 45,005 
 47,493 
 51,500 
 
 54,703 
 56,315 
 58,635 
 56,779 
 
 55,576 
 51,972 
 46,585 
 
 $20,120 
 
 21,624 
 20,987 
 17,113 
 18,210 
 
 15,291 
 12,432 
 17,619 
 24,066 
 
 14,840 
 13,068 
 12,954 
 
 1 . 023 
 
 .881 
 .903 
 .903 
 .982 
 
 1.000 
 
 .968 
 
 1 . 059 
 
 1.336 
 
 1.495 
 1 525 
 1 . 607 
 
 $19,668 
 
 24,545 
 23,241 
 18,951 
 18,544 
 
 15,291 
 12,843 
 16,637 
 18.013 
 
 9,926 
 8,569 
 8,061 
 
 a See Table 15B. 
 
 b See Table 2E; applies to families spending on the average $25,000 annually for 
 consumption goods. 
 
 c Calculated by the statistical department, of the American Telephone and Telegraph 
 Co., and furnished to the Bureau through the kindness of Col. M. C. Rorty. 
 
 A study of Table 15C shows that corporate savings have declined to 
 half their former money value and to only a little over one-third of the 
 purchasing power which they had at the beginning of the decade. This 
 decline in savings has been going on at the same time that dividends have
 
 TELEPHONES 
 
 ]-:; 
 
 been increasing somewhat. The purchasing power of the disbursements 
 
 to the investors and property owners tended to increase until 1916, but, 
 since that date, has fallen off sharply. 
 
 § 15c. The Net Value Product and Its Distribution 
 
 The estimated net value product of the telephone industry is made up 
 of four parts: namely, the corporate 1 savings, the disbursements to entre- 
 
 TABLE 15D 
 
 AN ESTIMATE OF THE VALUE PRODUCT OF THE TELEPHONE INDUS- 
 TRY IN THE CONTINENTAL UNITED STATES AND THE SHARE OF 
 THE EMPLOYEES THEREIN 
 
 
 
 Total pay- 
 
 Total share 
 
 
 
 
 
 Total salaries 
 
 ments to 
 
 of entrepre- 
 
 
 
 
 
 and wages 
 
 paid to 
 
 employees 
 
 as esti- 
 
 neurs and 
 other own- 
 
 Uncollect- 
 
 Total net 
 
 Per *•< -lit of 
 
 total value 
 
 product 
 
 going to 
 
 employees 
 
 Year 
 
 employees 
 
 mated from 
 
 ers oi prop- 
 
 ible 
 
 value 
 
 
 as estimated 
 
 reports of 
 
 erty used 
 
 revenues*/ 
 
 product 
 
 
 from Census 
 
 telephone 
 
 in the 
 
 (Thousands 
 
 (Thousands 
 
 
 reports 
 
 companies/ 
 
 industry e 
 
 
 
 
 (Thousands) 
 
 (Thou- 
 
 (Thou- 
 
 
 
 
 
 
 sands) 
 
 sands 
 
 
 
 
 1907 . . . 
 
 $68,279 a 
 
 871,737 
 
 S56,620 
 
 S 784 
 
 8129,141 
 
 55 5 
 
 1909. 
 
 
 81,160 
 
 63,709 
 
 912 
 
 145,811 
 
 .-,.-) 7 
 
 1910. . . 
 
 
 91,677 
 
 65,452 
 
 1.020 
 
 158,1 19 
 
 58 
 
 1911 . . . 
 
 
 103,140 
 
 64,369 
 
 1.104 
 
 L68.613 
 
 61.2 
 
 1912. . . 
 
 101,400 cb 
 
 112,653 
 
 69,710 
 
 1,188 
 
 183,.-).-, 1 
 
 61.4 
 
 1913. . . 
 
 
 126,027 
 
 69,994 
 
 1,285 
 
 197,306 
 
 63.9 
 
 1914. . . 
 
 
 129,255 
 
 69,310 
 
 1,380 
 
 199. Mi:, 
 
 64 6 
 
 1915. . . 
 
 
 127,598 
 
 76,019 
 
 1 . 180 
 
 20.-,. 097 
 
 62.2 
 
 1916. . . 
 
 
 153,526 
 
 85,047 
 
 1,590 
 
 210,163 
 
 63.9 
 
 1917. . . 
 
 175,670 d 
 
 172,740 
 
 81,420 
 
 1,731 
 
 255,891 
 
 07 :, 
 
 1918. . . 
 
 
 191,169 
 
 83,958 
 
 1,900 
 
 280,027 
 
 69 3 
 
 1919. . . 
 
 
 245,420 
 
 88,794 
 
 2,080 
 
 336,294 
 
 73.0 
 
 a U. S. Census of Telephones, 1907, p. 16. 
 
 i> 101,400 = 90,011 (the number employed by large systems), X 1.0577. The ratio 
 1.0577 is used because it is the best comparison at hand. Its computation is described 
 in Note 1, Table 15A. 
 
 c U. S. Census of Telephones, 1912, p. 48. 
 
 d U. S. Census of Telephones, 1917, p. 10. 
 
 « See Table 15B, Column E, plus Column I. 
 
 / For derivation, see text. 
 
 o Based on U. S. Census, interpolations for intercensal years male by aid of a 
 smooth curve. 
 
 * Sum of items in three columns immediately preceding. 
 
 preneurs and other property owners already discussed, the share of the 
 employees, and the uncollectible revenues, the last mentioned item repre- 
 senting valuable services received by consumers for which the recipients
 
 184 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 have failed to make recompense. These four shares have been added and 
 the sum appears in Table 15D. 
 
 The largest share in the value product of the telephone industry con- 
 sists of the payments made to employees. These payments consist mainly 
 of wages and salaries, but the employees also receive a considerable sum 
 in the form of benefits and pensions. The totals as presented in Table 
 15D have been derived from reports of the important telephone compa- 
 nies. The closeness of these results to the Census figures makes it highly 
 probable that both sets are approximately accurate. The reason for using 
 these data rather than the Census figures themselves, is that the figures 
 presented here are largely secured from a compilation of actual payments 
 for each year, while the Census data are based upon estimates only. 
 
 The last column of Table 15D shows that the employees have been get- 
 ting a steadily increasing share of the value product until, in 1919, their 
 share absorbed nearly three-fourths of the net income arising from the 
 industry. 
 
 But to know the share of the total product received does not tell whether 
 each employee is better or worse off than before. This depends upon 
 the number of employees as well as upon the total amount paid to em- 
 ployees. 
 
 § 15d. The Number of Employees 
 
 Table 15E represents an estimate of the average number of employees 
 attached to the telephone industry in each year. The estimate of the 
 fraction of workers actually employed is based upon assumptions none too 
 well established. 1 However, the internal evidence of the data apparently 
 tends to substantiate the approximate correctness of the fraction presented. 
 It is believed, therefore, that the figures shown in Table 15E are not very 
 far from the truth. 
 
 3 See § 2d. 
 
 S
 
 TELEPHONES 
 
 L85 
 
 TABLE 15E 
 
 THE ESTIMATED NUMBER OF EMPLOYEES ATTACHED TO THE 
 TELEPHONE 1XDISTRY OF THE CONTINENTAL UNITED STATES 
 
 A 
 
 B 
 
 c 
 
 D 
 
 E 
 
 F 
 
 G 
 
 
 Number of 
 employees 
 
 of all 
 telephone 
 
 systems 
 actually 
 
 
 
 Estimated 
 
 Estimated 
 
 
 
 Estimated 
 
 
 number ol 
 
 fraction 
 
 Est imated 
 
 
 number of 
 
 
 employees 
 
 of number 
 
 number of 
 
 Year 
 
 employees 
 
 B -7-C 
 
 actually 
 
 attached 
 
 employees 
 
 
 of Bell 
 
 
 at work 
 
 to industry 
 
 attached 
 
 
 Telephone 
 
 
 in all 
 
 who are 
 
 to industry 
 
 
 Companies'/ 
 
 
 systems 
 
 actually 
 
 EtF 
 
 
 
 
 
 CX D 
 
 employed 
 
 
 1907. . . . 
 
 144.169 a 
 
 102,100 
 
 1.412" 
 
 144,169 
 
 .982 
 
 146,800 
 
 1909 . . . 
 
 
 101,300 
 
 1.412/ 
 
 143, 0(10 
 
 .957 
 
 149,500 
 
 1910 
 
 
 112,500 
 
 1.413 ' 
 
 159,000 
 
 .974 
 
 103.200 
 
 1911. . . . 
 
 
 127,200 
 
 1.414/ 
 
 179,800 
 
 .970 
 
 185,300 
 
 1912. .. . 
 
 194,000 6 
 
 137,100 
 
 1.415< 
 
 194,000 
 
 .949 
 
 204,500 
 
 1913 
 
 
 151,200 
 
 1114 / 
 
 213.mii) 
 
 . 983 
 
 217.500 
 
 1914. . . . 
 
 
 152.000 
 
 1.413/ 
 
 214,800 
 
 .952 
 
 225,000 
 
 1915. . . . 
 
 
 147,200 
 
 1.412/ 
 
 2D7.900 
 
 .901 
 
 230,000 
 
 1916 
 
 
 168,100 
 
 1.411/ 
 
 237,200 
 
 .980 
 
 212,000 
 
 1917 
 
 262,629 c 
 
 1 si 1,100 
 
 1.411- 
 
 202,029 
 
 9S2 
 
 207,400 
 
 1918 
 
 
 197,000 
 
 1.411/ 
 
 278,000 
 
 .975 
 
 285,200 
 
 1919. .. 
 
 
 204,100 
 
 1.411/ 
 
 288,000 
 
 982o 
 
 293,000 9 
 
 " U. S. Census of Telephones, 1907, p. 16. 
 
 b U. S. Census of Telephones, 1912, p. 48, .-hows larger companies to have 90.011 
 employees. This number has been multiplied by 1.0577, the ratio obtained in Table 1. 
 note 1. 
 
 c U. S. Census of Telephones, 1917, p. 10. 
 
 d Read from smooth curve based on recorded number of employees on December 
 31st, of each year, as shown in Poor's and Moody's Manuals. 
 
 e Computed. 
 
 /Interpolated along a smooth curve. 
 
 a Tentative estimate only. 
 
 § 15e. Average Annual Earnings of Employees 
 
 With estimates available of the total amount paid to employees by 
 telephone companies and of 1 ho total number of employees attached to the 
 industry, it is only necessary to divide the first item by the second in order 
 to arrive at the average amount paid to each employee This average, 
 however, means little until it is divided by an index of the prices of such 
 consumption goods as are purchased by employees. The results of com- 
 putations along these lines are shown in Table 15F. 
 
 Column D of this table makes it evident that the average employee is a1 
 present receiving many more dollars per annum than was formerly the 
 case. However, each of these dollars has bought so much less in recent
 
 186 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 15F 
 
 THE PURCHASING POWER OF THE COMPENSATION OF THE AVERAGE 
 EMPLOYEE ATTACHED TO THE TELEPHONE INDUSTRY IN THE 
 CONTINENTAL UNITED STATES 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 Year 
 
 Estimated 
 total of 
 
 payments 
 
 to employees a 
 
 (Thousands) 
 
 Estimated 
 
 number of 
 
 employees 
 
 attached 
 
 to industry b 
 
 Estimated 
 
 amount paid 
 
 to average 
 
 employee 
 attached to 
 
 industry e 
 
 B -r- C 
 
 Index of 
 
 prices of 
 
 consumption 
 
 goods bought 
 
 by manual 
 
 and clerical 
 
 workers c 
 
 Estimated 
 purchasing 
 power of 
 compensa- 
 tion paid 
 to average 
 employee e 
 DvE 
 
 1907 
 
 1909 
 
 $71,737 
 
 81,160 
 
 91,677 
 103,140 
 112,653 
 
 126,027 
 129,255 
 127,598 
 153,526 
 
 172,740 
 194,169 
 245,420 
 
 146,800 
 
 149,500 
 163,200 
 185,300 
 204,500 
 
 217,500 
 225,600 
 230,000 
 242,000 
 
 267,400 
 285,200 
 293,000-/ 
 
 $489 
 
 543 
 
 562 
 557 
 551 
 
 579 
 573 
 555 
 634 
 
 646 
 
 6S1 
 838 d 
 
 .955 
 
 .978 
 .984 
 .994 
 
 1.000 
 1.01 
 1.03 
 1.10 
 
 1.29 
 1.58 
 
 1 773 
 
 $569 
 
 1910 
 
 1911 
 
 1912 
 
 1913 
 
 1914 
 
 1915 
 
 1916 
 
 1917 
 
 1918 
 
 1919. . . 
 
 575 
 566 
 554 
 
 579 
 567 
 539 
 576 
 
 501 
 431 
 473 d 
 
 a See Table 15D 
 6 See Table 15E. 
 
 includes wages, salaries, pensions, c< mpensation for injuries, etc. 
 
 Bureau of Labor index extended back through special study by this Bureau. See 
 Table 2C. 
 
 d Tentative estimate only. 
 
 e The decline in the average wage and its purchasing power is accounted for largely 
 if not entirely by the large increase in the number of female as compared to male em- 
 ployees, the former constituting only 54 per cent of the total in 1907, but 70 per cent 
 in 1920. 
 
 years that the actual purchasing power of the average employee's income 
 from the telephone business was materially less in 1919 than it was in 1913. 
 This decline in the average is, however, at least partly due to the fact that, 
 during this decade, women have constituted a rapidly increasing fraction 
 of the total number of telephone employees. 
 
 § 15f. The Efficiency of the Employees 
 
 The increase or diminution in the efficiency of the telephone worker as a 
 producer cannot be measured exactly because we have no record of the 
 changes in the amount of effort required to transmit a message and also 
 because an increase or decrease in efficiency is as likely to be a result of
 
 TELEPHONES 187 
 
 better or worse equipment as of greater personal effort or effectiveness. 
 For example, long telephone lines evidently take more effort to build 
 and keep in repair than do short ones. It is more work to facilitate the 
 passage of messages when several connections are necessary, than when 
 only one is required. Nevertheless it seems worth while roughly to pic- 
 ture the results obtained under conditions as they exisi . 
 
 In the absence of any more accurate criterion, it seems that the m< -- 
 sage mile might be used as a reasonable unit for measuring work accom- 
 plished by the telephone force. However, the number of message miles 
 is not given and must be computed. The fact that millions of messages do 
 not pass through an exchange vitiates to a degree I he accuracy of the esti- 
 mates presented. Nevertheless, it is not probable that this unknown 
 item affects materially the relative comparison for different years, even 
 though it undoubtedly prevents the possibility of obtaining an accurate 
 measurement of the absolute number of message miles for any single year. 
 The necessary assumptions in computing the number of message miles 
 are based upon the fact that if every telephone were connected through an 
 independent line directly with the central station, the average distance 
 traveled by each message would approximately equal twice the number of 
 miles of wire divided by the number of telephones. This quotient is used 
 as a relative indicator of the distance that each message travels and is 
 probably serviceable for that purpose even though its absolute value is of 
 little significance. When the number of messages sent is multiplied by 
 this index, the product gives some idea of the total distance through which 
 telephone messages are transmitted; in other words, it is a crude approxi- 
 mation to the physical product of the industry. The facts are presented 
 in Table 15G.
 
 L88 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 15G 
 
 A COMPARISON FOR DIFFERENT YEARS OF THE PHYSICAL OUTPUT 
 PER EMPLOYEE IN THE TELEPHONE INDUSTRY 
 
 A 
 
 B. 
 
 Total 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 H 
 
 I 
 
 J 
 
 
 Daily 
 
 
 
 
 
 Approximate 
 
 
 messages 
 sent; as 
 
 ex- 
 change 
 
 
 Esti- 
 mated 
 
 Thou- 
 
 Mes- 
 
 Twice the 
 
 number of 
 message miles 
 
 
 esti- 
 mated 
 
 
 
 sands 
 of em- 
 
 
 number 
 of miles 
 
 
 
 Year 
 
 tions by 
 
 B-C 
 
 millions 
 of 
 
 per em- 
 ployee 
 (Thou- 
 sands) 
 E -F 
 
 
 Thou- 
 
 
 from 
 
 Bell 
 
 
 ployees 
 
 of wire 
 
 Total 
 
 sand 
 
 
 Census 
 
 Com- 
 
 
 messages 
 
 actually 
 
 per tele- 
 
 in bil- 
 
 per 
 
 
 data 
 
 (Mil- 
 
 panies 
 (Thou- 
 
 
 CXD 
 
 at work/ 
 
 phone ; 
 
 lions 
 EX H 
 
 em- 
 ployee 
 
 
 lions) 
 
 sands) 
 
 690 d 
 
 
 
 
 
 
 I -T- F 
 
 1907 
 
 12,500 a 
 
 18,130 
 
 12,500 a 
 
 141 
 
 86.7 
 
 4.25ff 
 
 53.1 
 
 368 
 
 1909 
 
 
 19,925 
 
 670 « 
 
 13,350 
 
 143 
 
 93.4 
 
 4.40 
 
 58.7 
 
 411 
 
 1910 
 
 
 21,681 
 
 662 • 
 
 14,o53 
 
 159 
 
 90.3 
 
 4.49 
 
 64.4 
 
 405 
 
 1911 
 
 
 2:;, 484 
 
 657 « 
 
 15,429 
 
 180 
 
 85 . 8 
 
 4.57 
 
 70.5 
 
 392 
 
 1912 
 
 16,753 b 
 
 25,572 
 
 655 d 
 
 16,753 6 
 
 194 
 
 86.4 
 
 4 . 64 * 
 
 77.7 
 
 401 
 
 1913 
 
 
 26,431 
 
 659 « 
 
 17.418 
 
 21 1 
 
 si.. 5 
 
 4.71 
 
 82 . 
 
 384 
 
 1914 
 
 
 27,049 
 
 669 « 
 
 18,09(1 
 
 215 
 
 84 . 2 
 
 4.77 
 
 86.3 
 
 402 
 
 1915 
 
 
 25,184 
 
 681 « 
 
 17,150 
 
 21 18 
 
 82 . 5 
 
 4.83 
 
 82.8 
 
 398 
 
 1916 
 
 
 28,530 
 
 695 e 
 
 19,828 
 
 237 
 
 83.6 
 
 4.88 
 
 96.8 
 
 408 
 
 1917 
 
 21,846 c 
 
 30,845 
 
 709 d 
 
 21,846 < 
 
 263 
 
 83.2 
 
 4 . 92 i 
 
 107 .5 
 
 409 
 
 1918 
 
 
 31,264 
 
 723 « 
 
 22.(104 
 
 278 
 
 81.3 
 
 4.97 
 
 112.3 
 
 404 
 
 1919 
 
 
 29,561 
 
 738 e 
 
 21,816 
 
 2SS 
 
 75 7 
 
 5.01 
 
 109.3 
 
 380 
 
 a Assumed that latio of messages to telephones was same for non-reporting as for 
 reporting companies. Under this assumption, messages on non-reporting lines amounted 
 to 1,127 millions. See U. S. Census of Telephones, 1907, p. 14. 
 
 b Assumptions same as for 1907, making the estimated number of messages on non- 
 reporting lines 3,018 millions. See U. S. Census of Telephones, 1912, p. 13. 
 
 c U. S. Census of Telephones, 1917, p. 10. 
 
 d Computed. 
 
 ■ Mead from smooth curve. 
 
 /See Table 15E. 
 
 g U. S. Census of Telephones, 1907, p. 14. 
 
 h U. S. Census of Telephones, 1912, p. 13. 
 
 i U. S. Census of Telephones, 1917, p. 10. 
 
 J If message travels to central office and to another station the number here recorded 
 should represent the approximate distance traveled by the message. 
 
 Although the number of messages per employee has declined materially, 
 the trend of the number of message miles per employee has remained 
 nearly constant. It does not appear, therefore, that there is any reason to 
 believe that the efficiency of telephone employees shows any downward 
 tendency. This statement is not controverted by the exceptionally low 
 record in 1919 since this probably represents a temporary phenomenon 
 rather than a permanent decline in output.
 
 TELEPHONES 
 
 L89 
 
 § 15g. Telephone Revenue Compared for Residence and Business 
 
 Telephones 
 
 It is an interesting fact that, during I he earlier part of the decade, 1 here 
 was little change in the proportion of revenue arising from residence and 
 from business telephones respectively. Since L915, however, business 
 telephones have slowly but steadily grown in relative importance as rev- 
 enue producers. This change is indicated by the data in Table 15H. 
 
 TABLE 15H 
 
 PER CENT OF THE OPERATING REVENUE OF TELEPHONE COMPANIES 
 DERIVED RESPECTIVELY FROM BUSINESS AND RESIDENCE STA 
 TIONSa 
 
 
 Per cent derived from 
 
 Year 
 
 Residence 
 telephones 
 
 Business 
 telephones 
 
 All telephones 
 
 1910 
 
 44.18 
 ■11 35 
 
 Ills 
 11 13 
 44.27 
 
 11 11 
 43 65 
 13 16 
 L-2 80 
 41.96 
 
 55.82 
 55.65 
 
 55 82 
 
 55 . 87 
 55 . 73 
 
 55.89 
 
 56 :;.". 
 56.84 
 
 57 20 
 58.04 
 
 inn nit 
 
 1911 
 
 101) 00 
 
 1912 
 
 1913 
 
 100 00 
 
 100 00 
 
 1914 
 
 inn 00 
 
 1915 
 
 1916 
 
 1917 
 
 100 1 
 
 101) ii I 
 
 100 00 
 
 1918 
 
 loo 00 
 
 1919 
 
 LOO 00 
 
 a Computed from reports furnished by telephone companies. The percentages are 
 not exact, but are presumably approximately correct. 
 
 § 15h. Relative Growth of Telephone Service and Population 
 
 It is also of interest to know whet her telephone service is or is not 
 keeping pace with the growth of our population. Table 151 shows the 
 probable facts in this connection.
 
 190 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 151 
 
 THE ESTIMATED RELATIVE AMOUNT OF SERVICE PER PERSON IN THE 
 CONTINENTAL UNITED STATES RENDERED BY THE TELEPHONE 
 INDUSTRY 
 
 Year 
 
 Billions 
 
 of messages 
 
 sent a 
 
 Billions 
 
 of message 
 
 miles a 
 
 Thousands 
 of persons 
 
 in the 
 
 Continental 
 
 United States c 
 
 Messages 
 
 per 
 inhabitant 
 
 Message 
 
 miles per 
 
 inhabitant 
 
 1907 
 
 12.5 
 
 53.1 
 
 87,321 b 
 
 143 
 
 608 
 
 1909 
 
 1910 
 
 1911 
 
 1912 
 
 13.4 
 14.4 
 15.4 
 16.8 
 
 58.7 
 64.4 
 70.5 
 
 77.7 
 
 90,370 
 92,229 
 93,811 
 95,338 
 
 148 
 156 
 164 
 176 
 
 650 
 699 
 752 
 815 
 
 1913 
 
 1914 
 
 1915 
 
 1916 
 
 17.4 
 18.1 
 17.1 
 
 19.8 
 
 82.0 
 86.3 
 82.8 
 96.8 
 
 97,278 
 
 99,194 
 
 100,428 
 
 101,722 
 
 179 
 182 
 171 
 195 
 
 843 
 
 870 
 825 
 951 
 
 1917 
 
 1918 
 
 1919 
 
 21.8 
 22 . 6 
 21.8 
 
 107.5 
 112.3 
 109.3 
 
 103,059 
 104,182 
 104,847 
 
 212 
 217 
 
 208 
 
 1,043 
 1,078 
 1,042 
 
 a See Table 15G. 
 
 6 Statistical Abstract of U. S. for 1918, p. 776. 
 
 c See Table 2A. 
 
 Table 151 makes it clear that telephone service, whether measured by 
 messages or message-miles, is increasing very much faster than popula- 
 tion — in other words, we are, as a nation, coming to depend more and 
 more upon the telephone as a means of communication. 
 
 ^
 
 CHAPTER 16 
 TRANSPORTATION BY WATER 
 
 § 16a. Sources of Information 
 
 The Census Bureau covered this field in the years 1906 and 1916, but 
 the financial statistics presented are far from having the degree of com- 
 pleteness desired. The records of gross income, and of wages and sala- 
 ries paid would, however, be of great assistance in solving our problems 
 were it not that some of the totals presented are evidently very far from the 
 truth. That serious errors really exist is clear if one compares the average 
 wages paid to employees on land as shown by the Censuses of 1906 and 
 1916. The Census record indicates that this average wage declined, dur- 
 ing the decade, from $665 to $450. All other sources agree, however, in 
 showing that the period was characterized by sharply rising wages. An 
 inquiiy concerning this peculiarity of the data was sent to the Census 
 Bureau and elicited the reply that the Census of 1916 was taken under 
 difficulties due to the rapid shift in the personnel of the employees in water 
 transportation. The Census Bureau officials, however, felt confident that 
 the amounts stated as paid for wages and salaries are approximately cor- 
 rect, even though the number of employees may be materially in error. 
 This belief, however, seems contrary to the facts for it involves the assump- 
 tion that the number of employees diminished greatly during the decade. 
 Overwhelming evidence including that in the Census report itself, proves 
 that the number not only did not diminish but actually increased to a 
 marked degree. 
 
 As a matter of fact, it appears that the Census data, as regards the num- 
 ber of employees, approximate the truth, but that the 1916 figures, because 
 of the failure to include sufficient allowances for board and lodging, under- 
 state the total pay of employees on vessels. 
 
 For the reasons just stated, the assumption has been made that the Cen- 
 sus figures for the average number of persons actually employed are, in 
 each instance, reasonably accurate, and that the 1906 record is a correct 
 picture of the average earnings of land workers at that date. It has also 
 been assumed that the record of gross earnings is reasonably accurate for 
 each of the Census years. These are the only Census figures which seem 
 to be adapted to our particular needs. 
 
 It has been necessary to supplement the data thus obtained by material 
 
 191
 
 192 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 derived from the reports of the Commissioner of Navigation and of the 
 United States Shipping Board, and from the fragmentary information 
 concerning steamship companies which appears in Poor's and Moody's 
 Manuals of Corporation Securities. 
 
 § 16b. Assumptions Made 
 
 The assumption has been made that the share of entrepreneurs and other 
 property owners in the income arising from transportation by water com- 
 prises nothing but interest on bonds, dividends on stocks or distributed 
 profits and business savings. There are doubtless other payments mack; 
 directly to private parties, but of these we have no record, and they are 
 probably not large enough materially to affect the totals. Similarly, the 
 share of the employees is assumed to consist only of the money wages and 
 salaries received plus an allowance for board and lodging furnished. Most 
 of the figures are probably so inaccurate that further attempts at refine- 
 ment in the assumptions made would be futile. 
 
 § 16c. Mode of Estimating Gross Earnings 
 
 In estimating gross earnings for the intercensal years, recourse has been 
 had to the use of a sequence of ratios. For each shipping company, the 
 reports of which are shown in Poor's Manual, the ratio of the gross earn- 
 ings for the given year to the earnings for the preceding year has been cal- 
 culated and recorded. Earnings for the year 1909 have, however, been 
 compared with those of 1906, (the Census year), the years 1907 and 
 1908 being skipped because, in this study, there is no attempt to derive 
 estimates for years preceding 1909. Few shipping concerns have pub- 
 lished reports for each year since 1900, hence the derivation of an accurate 
 index of gross earnings is impossible. Under these circumstances, we have 
 been forced to take the median of all the ratios for a given year as repre- 
 senting the proportionate change in gross earnings from the preceding 
 period. These median ratios for the different years have been converted 
 into an index on the base 190G by a continued process of multiplication 
 beginning with the ratio of 1909 to 1906, next applying thereto the ratio 
 of 1910 to 1909, and so on. It can be demonstrated mathematically that 
 an index computed in this manner tends, in the course of time, to rise 
 above the true index. This tendency has been corrected by tying the in- 
 dices thus derived to the Census estimates of total gross earnings; a proc- 
 ess by which the upward slope is diminished materially and the error of 
 the type just mentioned is presumably thus eliminated. The final estimate 
 of gross earnings appears in Table 16A. 
 
 Having arrived at an approximate set of totals of gross earnings, the 
 next step is to utilize these estimates as bases for computing the share of
 
 TRANSPORTATION BY WATER 
 
 193 
 
 TABLE 16A 
 
 THE ESTIMATED GROSS EARNINGS OF ALL PRIVATE CONCERNS IN 
 THE CONTINENTAL EXITED STATES ENGAGED IN TRANSPORTA- 
 TION BY WATER 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 
 Gross income 
 
 Index of 
 
 
 Esi imated gross 
 
 
 gross earnings 
 
 
 earnings of all 
 
 Year 
 
 in thousands 
 
 estimated fi 
 
 Rati i "f 
 
 
 as reported 
 
 reports of about 
 
 I', to C 
 
 c mcerns 
 
 (Thousands) 
 CX D 
 
 
 by the Census <* 
 
 twenty 
 corporations'' 
 
 
 1906 
 
 $294,855 
 
 1.00 
 
 294,855 c 
 
 $294,855 a 
 
 1909 
 
 
 1.00 
 
 280,500 d 
 
 28 1.500 
 
 1910 
 
 
 1.10 
 
 27.V 700"' 
 
 303,300 
 
 1911 
 
 
 1.13 
 
 270,800 <* 
 
 306,0 10 
 
 1912 
 
 
 1.27 
 
 266,100 d 
 
 338,0 i i 
 
 L913 
 
 
 1.39 
 
 261,200'' 
 
 :;t;;,ooo 
 
 1914 
 
 
 1.29 
 
 256,600^ 
 
 331,000 
 
 1915 
 
 
 1.51 
 
 251,700 d 
 
 380,000 
 
 1916. . 
 
 563,736 
 
 2.28 
 
 247,300 c 
 
 563,73 i 
 
 1917 
 
 
 2 . 03 
 
 2(2. 100 d 
 
 192.0 1 1 
 
 1918 
 
 
 1 79 
 
 237,400 d 
 
 425,000 
 
 1919. . . . 
 
 
 3.05 
 
 232,500 d 
 
 709,00 i 
 
 a Census of Transportation by Water, 1910, page 57. 
 
 6 Lor derivation, see text. 
 
 c Gomputed by division. 
 
 d Interpolated along a straight line. 
 
 the entrepreneurs and property owners in the value product of each year. 
 The mode of attack is as follows: 
 
 § 16d. The Share of the Owners and Investors 
 
 For each shipping corporation dealt with in Poor's or Moody's Mama! . 
 the reports of which appear in such form as to make it possible, i hree ratios 
 have been computed for each year; namely, the respective ratios of bond 
 interest paid, dividends paid, and added surplus, to the gross earnings of 
 the same year. In the case of bond interest, a weighted median of these 
 ratios has been ascertained for each year, large companies like the Inter- 
 national Mercantile Marine naturally having been given more weighl than 
 small concerns like the Montauk Steamship Company. The same proce- 
 dure has been followed in obtaining the yearly medians of the ratios of 
 surplus to gross earnings. 1 In the case of dividends, however, it was neces- 
 sary to compute a weighted arithmetic average instead of a weighted 
 
 1 The median was used because it eliminated die extreme variations in some of the samples. 
 These extremes were not believed to lie representative.
 
 194 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 median of the ratios; for, in certain lean years, even though a few corpora- 
 tions paid very considerable dividends, the median ratio was zero. 
 
 The products obtained by multiplying the estimated gross earnings for 
 the various years by the ratios obtained in the manner just described are 
 believed to approximate the actual amounts falling into the respective 
 categories. Table 16B shows the ratios and the estimated size of the vari- 
 ous amounts which go to make up the share of the entrepreneurs and other 
 property owners in the annual value product. 
 
 TABLE 16B 
 
 THE ESTIMATED SHARE OF ENTREPRENEURS AND OTHER PROPERTY 
 OWNERS IN THE ANNUAL VALUE PRODUCT OF THE PRIVATE IN- 
 DUSTRY OF TRANSPORTATION BY WATER 
 
 
 Estimated 
 
 gross 
 earnings 
 in 
 thou- 
 sands a 
 
 $280,500 
 303,300 
 306,000 
 
 338,000 
 
 363,000 
 331,000 
 380,000 
 563,736 
 
 492,000 
 425,000 
 709,000 
 
 Average ratio & to gross 
 earnings of 
 
 Estimated share of entrepreneurs 
 and other property owners c 
 
 (Thousands) 
 
 Calendar 
 
 Bond 
 
 in- 
 terest 
 paid 
 
 Divi- 
 dends 
 paid 
 
 Amounts 
 carried 
 
 to 
 surplus 
 
 year 
 
 Interest 
 on fund- 
 ed debt 
 
 Profits 
 
 dis- 
 bursed 
 
 Busi- 
 ness 
 savings 
 
 Total 
 
 1909 
 
 1910. . . . 
 
 1911. . . . 
 1912. . . . 
 
 1913 
 
 1914. . . . 
 1915. . . . 
 1916. . . . 
 
 1917. . . . 
 1918. . . . 
 1919. .. . 
 
 .0691 
 . 0623 
 .0503 
 .0521 
 
 .0501 
 .0502 
 .0407 
 .0374 
 
 . 0304 
 .0293 
 .0259 
 
 . 0286 
 . 0550 
 . 0543 
 .0424 
 
 .0378 
 .0543 
 .0479 
 .0418 
 
 .1028 
 .1013 
 
 1124 
 
 .0246 
 .0835 
 .0307 
 .0725 
 
 .060S 
 
 — .0021 
 
 .0649 
 
 .1189 
 
 .0463 
 .0699 
 .0166 
 
 $19,380 
 18,900 
 15,400 
 17,620 
 
 18,200 
 16,600 
 15,470 
 15,000 d 
 
 14,960 
 12,460 
 15,000 <i 
 
 $ 8,025 
 16,680 
 16,620 
 14,320 
 
 13,720 
 17,983 
 18,203 
 23,550 
 
 50,603 
 43,050 
 79,703 
 
 $ 6,900 
 
 25,320 
 
 9,400 
 
 24,510 
 
 22,070 
 
 —695 
 
 24,660 
 
 67,030 
 
 22,790 
 29,720 
 11,770 
 
 $34,305 
 60,900 
 41,420 
 53,450 
 
 53,990 
 33, S85 
 
 58,330 
 105,580 
 
 88,350 
 
 85,230 
 
 106,470 
 
 a See Table 16A. 
 
 b For mode of derivation, see text. 
 c Gross earnings multiplied by the appropriate ratios. 
 
 d Arbitrarily assumed, because original products seem too large, since it is unlikely 
 that bond interest would change greatly from year to year. 
 
 While the share of the entrepreneurs and other property owners has 
 increased greatly in terms of dollars, the change in their ability to secure 
 commodities has been somewhat less striking. That such is the case is 
 made 1 clear by a study of Table 16C in which the current income of these 
 classes has been converted into terms of purchasing power at the price 
 level of 1913. 
 
 S
 
 TRANSPORTATION BY WATER 
 
 195 
 
 TABLE 16C 
 
 THE RELATIVE PURCHASING POWER IN TERMS OF CONSUMPTION 
 GOODS OF THAT PART OF THE INCOME OF ENTREPRENEURS AND 
 OTHER PROPERTY OWNERS DERIVED FROM TRANSPORTATION BY 
 WATER 
 
 
 Disbursements to entrepreneurs 
 and other property owners 
 
 Business savings 
 
 
 Profits 
 
 Index 
 
 
 
 
 Amount of 
 
 Calendar 
 
 and 
 
 of prices 
 
 Purchasing 
 
 
 
 construc- 
 
 year 
 
 interest 
 
 of goods 
 
 power 
 
 Amount in 
 
 Index of 
 
 tion pur- 
 
 
 on funded 
 
 consumed 
 
 .it prices 
 
 t bousands 
 
 c instruc- 
 
 chasable 
 
 
 debt a 
 
 by 
 
 of 1913 
 
 of dollars c 
 
 tion costs <* 
 
 at prices 
 
 
 (Thou- 
 
 wealthier 
 
 (Thousands) 
 
 
 
 of 1913 
 
 
 sands) 
 
 families'' 
 
 
 
 
 (Thousands) 
 
 1909 
 
 $27,405 
 
 .964 
 
 $28,428 
 
 $ 6,900 
 
 .927 
 
 $ 7.11:; 
 
 1910 
 
 35,580 
 
 . 982 
 
 36,232 
 
 25,320 
 
 953 
 
 26,56 1 
 
 1911 
 
 32,020 
 
 .989 
 
 32,376 
 
 9,400 
 
 . 9 15 
 
 9,947 
 
 1912 
 
 31,940 
 
 .999 
 
 31,972 
 
 21,510 
 
 .983 
 
 24,934 
 
 1913 
 
 31,920 
 
 1.000 
 
 31,920 
 
 22,070 
 
 1.000 
 
 -•-'.070 
 
 1914 
 
 34,580 
 
 1.011 
 
 34,208 
 
 —695 
 
 .960 
 
 -721 
 
 1915 
 
 33,670 
 
 .999 
 
 33,701 
 
 24,660 
 
 .992 
 
 24,859 
 
 1916 
 
 38,550 
 
 1.081 
 
 35,661 
 
 67,030 
 
 1.194 
 
 56,139 
 
 1917 
 
 65,560 
 
 1.225 
 
 53,518 
 
 22.790 
 
 1.473 
 
 15.472 
 
 1918 
 
 55,51n 
 
 1.406 
 
 39,481 
 
 29,720 
 
 1.499 
 
 19,827 
 
 1919 
 
 91.700 
 
 1.648 
 
 57, Hil 
 
 11,770 
 
 1 5 17 
 
 7,370 
 
 a Combination of the items in two columns of Table 16B. 
 
 b An average of the indices for families spending respectively 85,003 and S25,033 
 per annum for consumption goods. 
 
 c See Table 16B. 
 
 d An average of the U. S. Bureau of Labor Statistics indices for building lab >r, build- 
 ing materials, and metals, the weights used being, in the order named, 3, 1, and 2. 
 
 § 16e. The Share of the Employees 
 
 The next step necessary is to ascertain the share of the product going to 
 the employees in each year of the period. This end can apparently best be 
 attained if the employees are first divided into the two classes used by the 
 Census, namely those working on land and those employed on vessels. 
 
 It seems clear that the number of men required about the docks must 
 vary in proportion to the amount of shipping to be handled. The criterion 
 which has suggested itself as being the besi adapted to measuring accu- 
 rately shipping activity at our ports, is the tonnage of vessels entered and 
 cleared. This tonnage is recorded for the foreign trade but not for the 
 coastwise. In order to give some weight to the latter, the plan has been 
 adopted of using a combination index constructed by adding to the sum 
 of the tonnage in the foreign trade entered and cleared, one-fifth of the 
 freight tonnage passing through the Sault Ste Marie Canal and five times
 
 196 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 the tonnage of the vessels engaged in the coastwise trade. The "Soo" 
 * Janal traffic is weighted low because the handling of the grain and iron ore, 
 which constitutes the bulk of the tonnage, requires relatively little labor. 
 The weighting for coastwise vessels assumes that there are on the average 
 five cargo handlings per year. However, the three indicators used vary so 
 similarly that the relative size of the weights assigned is not a matter of 
 great importance. The foreign trade figures for the period preceding 1918 
 
 TABLE 16D 
 
 THE ESTIMATED NUMBER AND EARNINGS OF LAND EMPLOYEES 
 ENGAGED IN THE INDUSTRY OF TRANSPORTATION BY WATER 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 Calendar 
 
 year 
 
 Number at 
 
 work as 
 
 reported 
 
 by the 
 
 Census 
 
 Index of 
 
 tonnage 
 
 loaded 
 
 and 
 
 unloaded b 
 
 Ratio of 
 B toC 
 
 Estimated 
 
 number 
 
 at work 
 
 CX D 
 
 Estimated 
 
 average 
 
 annual pay 
 
 Estimated 
 total wages 
 and salaries 
 EX F 
 
 1906 
 
 1909 
 
 1910 
 
 1911 
 
 1912 
 
 1913 
 
 1914 
 
 1915 
 
 1916 
 
 1917 
 
 1918 
 
 47,419 a 
 
 83,581 a 
 
 109.8 
 
 123.0 
 128.5 
 133.2 
 145 . 6 
 
 154.2 
 
 144.4 
 144.9 
 
 153.2 
 
 146.7 
 144.6 
 
 432 c 
 
 475 d 
 48S d 
 500 d 
 512 & 
 
 522 d 
 530'' 
 538 d 
 545 e 
 
 552 d 
 556 d 
 
 47,419 a 
 
 58,450 
 62,750 
 66,592 
 74,480 
 
 80,460 
 76,540 
 77,980 
 83,581 a 
 
 80,900 
 80,400 
 
 $ 663^ 
 
 664 e 
 
 665 « 
 666 « 
 
 698 e 
 
 732 e 
 732 e 
 731 « 
 
 808 e 
 840 e 
 
 1,012 « 
 
 $31,456 a 
 
 38,800 
 41,720 
 44,360 
 
 52,000 
 
 58,900 
 56,050 
 57,030 
 67,560 
 
 67,940 
 81,400 
 
 a U. S. Census of Transportation by Water, 1916, p. 59. 
 b For mode of derivation, see the text . 
 c Computed by division. 
 d Interpolated along a smooth curve. 
 
 e Assumed to vary from the 1906 wage in the same proportion as did the daily wages 
 for longshoremen. See text for explanation. 
 
 are reported for years ending June 30, hence the pairs of fiscal years have 
 been averaged in each case to give an estimate for the calendar year on 
 which they overlap. These estimates for the calendar years have been 
 combined with the other indicators in deriving the index used. 
 
 It has been assumed that the employees on land received, on the aver- 
 age in 1906, the $605, reported by the Census of Transportation by Water. 
 This amount has been varied for the other years on the basis of the change 
 in the daily rates of pay at New York City from 1906 to 1914 l and since 
 
 ■ Estimated from data given on page 80 of The Longshoreman, by Charles B. Barnes.
 
 TRANSPORTATION BY WATER 197 
 
 that date, in the daily rate- for all sections of our coast. 1 The New York 
 City rates have been weighted more heavily than the others because of the 
 importance of this port . 
 The next necessary step in the procedure is to estimate the wages of the 
 
 employees on vessels. Now it seems probable that the Census figures, as 
 to the number of men employed, are approximately correct. The inter- 
 polation for the intercensal years has been on the basis of the reported 
 tonnage of the American merchant marine, which seems to constitute a 
 satisfactory criterion. 
 
 In computing the wage payments, it was, for reasons previously stated, 
 found necessary to ignore the Census figures. Fortunately, the Annua! 
 Reports of the United States Commissioner of Navigation give detailed 
 information each year concerning the wages paid to different classes of 
 workers. From these reports, a median of monthly wages paid to able- 
 bodied seamen on American steamships has been computed for each year. 
 To this median wage has been added in each instance an allowance for 
 board and lodging, this allowance having been made to vary in proportion 
 to the food index computed by the United States Bureau of Labor Sta- 
 tistics. 
 
 On pages 188-9 and in Chapter IX of H. B. Drury's report on Marine 
 
 and Dock Labor, statistics are given which enable one to compute, with a 
 
 reasonable degree of accuracy, the ratio of the average pay of the entire 
 
 ship's crew, including officers, to the average pay of able-bodied seamen. 
 
 By applying this ratio, an estimate has been made of the average annual 
 
 pay of workers on vessels. The final estimates appear in Table, ltd'. 
 
 1 From fhr report dated December 31, 1918, of The National Adjustment Commission 
 of the l r . S. Shipping Board, p. 21, and from p 150 of Bulletin l'7 1 of the United States Bun au 
 of Labor Statistics on The Union Scales of Wages and Hours »f Labor, May 15, 191!).
 
 198 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 16E 
 
 THE ESTIMATED NUMBER AND EARNINGS OF THE EMPLOYEES ON 
 THE VESSELS OF THE AMERICAN MERCHANT MARINE 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 H 
 
 I 
 
 
 Number 
 
 reported 
 
 by U. S. 
 
 Census 
 
 Tonnage 
 of mer- 
 chant 
 marine 
 of the 
 U. S.6 
 (Thou- 
 sands) 
 
 Ratio of 
 B to C 
 
 Esti- 
 mated 
 number 
 of men 
 actually 
 at work 
 CXD 
 
 Monthly wages of 
 
 able seamen on 
 
 American steam 
 
 vessels 
 
 Esti- 
 mated 
 average 
 annual 
 earnings 
 of all 
 em- 
 ployees'? 
 
 Estimated 
 
 total 
 wages and 
 
 Year 
 
 Median 
 
 money 
 
 wage e 
 
 Esti- 
 mated 
 wage in- 
 cluding 
 board 
 
 and 
 lodging 
 
 salaries in 
 thousands 
 
 paid to 
 employees 
 on vessels 
 
 EXH 
 
 1906 
 
 1909 
 1910 
 1911 
 1912 
 
 1913 
 
 1914 
 1915 
 1916 
 
 1917 
 1918 
 1919 
 
 140,929" 
 153,301a 
 
 6,675 
 
 7,389 
 7,508 
 7,639 
 7,714 
 
 7,887 
 7,929 
 8,389 
 8,470 
 
 8,871 
 
 9,925 
 
 12,907 
 
 02111c 
 
 . 02019 d 
 .01990'/ 
 . 01958 d 
 . 01930 d 
 
 .01900'/ 
 
 01X70'/ 
 
 . 01839 d 
 
 ,01810c 
 
 . 01780 d 
 .01752'/ 
 .01722 d 
 
 140,929 
 
 149,200 
 149,400 
 149,600 
 148,900 
 
 149,900 
 148,300 
 154,300 
 153,301 
 
 157,900 
 173,900 
 222,200 
 
 $25.84 
 
 28.75 
 30 . 00 
 30.00 
 30 . 00 
 
 30.00 
 
 30.00 
 35.00 
 47.60 
 
 58.85 
 68.75 
 75.00/ 
 
 $45.24 
 
 51.72 
 54.02 
 53 . 73 
 55.74 
 
 55 . 74 
 
 56.37 
 61.25 
 
 77.15 
 
 96.73 
 112.17 
 123.53/ 
 
 $ 788 
 
 901 
 941 
 936 
 971 
 
 971 
 
 982 
 
 1,067 
 
 1,344 
 
 1,685 ' 
 
 1,954 
 
 2,152/ 
 
 $111,000 
 
 134,400 
 140,600 
 140,000 
 144,520 
 
 145,500 
 145,700 
 164,600 
 203,100 
 
 263,000 
 339,800 
 
 478,200/ 
 
 a U. S. Census of Transportation by Water, 1916, p. 59. 
 
 6 Statistical Abstract of U. S. for 1919, p. 361. 
 
 c Computed by division. 
 
 d Interpolated along a straight line. 
 
 f Medians of wages for some 50 classes of able seamen. Data from Annual Reports 
 of the U. S. Commissioner of Navigation. The items recorded are the averages of 
 medians for the pairs of fiscal years overlapping on the calendar year. 
 
 / Preliminary figures. 
 
 o Items in column G multiplied by 17.42. For explanation, see text. 
 
 <*
 
 TRANSPORTATION BY WATER 
 
 L99 
 
 § 16f. The Net Value Product and Its Division 
 
 We are now prepared to estimate the value producl of the industry of 
 Transportation by Water. The figures appear in Table 16F. 
 
 TABLE 16F 
 
 THE ESTIMATED TOTAL VALUE PR< (DUCT OF THE INDUSTRY OF TR VXS 
 PORTATION BY WATER AND THE PER CENT THEREOF GOING TO 
 THE EMPLOYEES 
 
 Calendar 
 year 
 
 Total value 
 
 product a 
 
 (Thousands) 
 
 Total share of 
 
 entrepreneurs 
 
 and investors b 
 
 (Thousands) 
 
 Total wages and 
 salaries paid <• 
 (Thousands) 
 
 Per cent of 
 value product 
 going to 
 employees 
 
 1909 
 
 $207,505 
 243,220 
 225,780 
 252,970 
 
 258,390 
 235,635 
 279,960 
 379,240 
 
 422,290 
 506,430 
 
 $ 34,305 
 60/. 100 
 £1,420 
 56,450 
 
 53,990 
 
 33,885 
 
 58,330 
 105,580 
 
 88,350 
 85,230 
 
 $173,200 
 182,320 
 184,360 
 
 196,520 
 
 204,400 
 201,750 
 221,630 
 273,660 
 
 333,940 
 
 421,200 
 
 83 . 5 
 
 1910 
 
 1911 
 
 75 
 81.7 
 
 1912 
 
 1913 
 
 1914 
 
 77.7 
 
 79.1 
 85.6 
 
 1915 
 
 1916 
 
 1917 
 
 1918 
 
 79.2 
 
 72.2 
 
 79.1 
 83.2 
 
 a Sum of the two following columns. 
 
 b See Table 16B. 
 
 c Sum of the last column in Table 16D and the last column in Table 16E. 
 
 It is clear that the employees in this line of work receive a high percent- 
 age of the value product as compared to those in many of the other fields. 
 No tendency is apparent for their relative share either to increase or dimin- 
 ish as the years pass. 
 
 § 16g. The Average Annual Earnings of Employees 
 
 The usual estimates of the numbers of men attached to the industry. 
 the fluctuations in the average money earnings, and the purchasing power 
 of these earnings on the basis of the prices of 1913 appear in Table 16G.
 
 200 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 16G 
 
 THE PURCHASING POWER OF THE AVERAGE ANNUAL EARNINGS OF 
 THE EMPLOYEES IN THE PRIVATE INDUSTRY OF TRANSPORTATION 
 BY WATER 
 
 A 
 
 Calendar 
 
 3 ear 
 
 1900 . 
 
 1909. 
 1910. 
 1911. 
 
 1912 
 
 1913 . 
 1914 
 1915. 
 1916. 
 
 1917. 
 1918. 
 
 B 
 
 Estimated 
 average 
 
 number of 
 
 employees 
 
 actually 
 
 at work c 
 
 188,348 a 
 
 207,650 
 212,150 
 216,192 
 223,380 
 
 230,360 
 224,840 
 232,280 
 236,882 a 
 
 238,800 
 254,300 
 
 C 
 
 Estimated 
 fraction of 
 persons at- 
 tached to 
 industry 
 actually at 
 work <l 
 
 .927 
 .917 
 .906 
 .919 
 
 .930 
 .899 
 .922 
 ^936 
 
 .934 
 . 925 
 
 D 
 
 Estimated 
 
 number of 
 
 employees 
 
 normally 
 
 attached to 
 
 the industry 
 
 B 
 
 C 
 
 224,002 
 231,352 
 238,623 
 
 243,01 is 
 
 247,699 
 250,100 
 251,931 
 253,079 
 
 255,675 
 275,000 
 
 E 
 
 Total 
 
 wages and 
 
 salaries 
 
 paid b 
 
 (Thousands) 
 
 $142,456 
 
 173,200 
 182,320 
 184,360 
 196,520 
 
 204,400 
 201,750 
 221,630 
 273,660 
 
 333,940 
 421,200 
 
 F 
 
 Average 
 annual earn- 
 ings per 
 employee 
 attached to 
 industry 
 E 
 D 
 
 I 773 
 788 
 773 
 
 808 
 
 825 
 
 807 
 
 880 
 
 1,081 
 
 1,306 
 
 1,532 
 
 G 
 
 Index of 
 prices of 
 goods con- 
 sumed by 
 manual and 
 
 clerical 
 workers e 
 
 .955 
 .978 
 .984 
 .994 
 
 1.000 
 1.01 
 1.03 
 1.10 
 
 1.29 
 1.58 
 
 H 
 
 Purchasing 
 
 power of 
 
 earnings at 
 
 prices of 
 
 1913 
 
 F 
 
 G 
 
 $ 810 
 
 806 
 
 785 
 813 
 
 825 
 799 
 854 
 983 
 
 1,012 
 969 
 
 a U. S. Census of Transportation by Water, 1916, p. 59. 
 b See Table 16F. 
 
 c The sum of the items in Column E, Table 16D, and in Column E, Table 16E. 
 d Estimated in § 2d. 
 
 e The Bureau of Labor Statistics index carried back by means of a special study 
 made by this Bureau; see § 2b. 
 
 Table 16G records clearly a marked gain in the economic welfare of the 
 employees in the years 1915, 1916, and 1917. The other years of the period 
 show no changes of moment in this respect. On the whole, the employees 
 were evidently veiy much better off in 1918 than in 1909. 
 
 X
 
 TRANSPORTATION BY WATER 
 
 201 
 
 § 16h. The Tonnage of the American Merchant Marine 
 
 The final step is to note the changes in the supply of American merchant 
 shipping which have occurred during the years under consideration. 
 Table 16H sets forth the facts as indicated by the official reports. 
 
 TABLE 16H 
 
 THE TONNAGE OF THE AMERICAN MERCHANT MARINE AS COMPARED 
 TO THE POPULATION OF THE CONTINENTAL UNITED STATES 
 
 Year 
 
 1909. 
 1910. 
 
 1911 . 
 1912. 
 
 L913. 
 
 1914. 
 
 1915 
 
 1916. 
 
 1917. 
 1918. 
 1919. 
 
 Tonnage 
 
 afloat a 
 
 7,388,755 
 7,508,082 
 7,638,790 
 
 7,714, is;; 
 
 7,886,551 
 7,928,688 
 8,389,429 
 
 8,469,649 
 
 8,871,037 
 
 9,924.r» is 
 
 12,907,300 
 
 Population 
 
 in thousands h 
 
 90,370 
 
 ! 12,229 
 93,811 
 95,338 
 
 97,278 
 
 99,194 
 
 100,428 
 
 101,722 
 
 L03.059 
 
 104, 182 
 101,847 
 
 Tonnage per 
 
 capita 
 
 0.0MS 
 .081 1 
 .081 1 
 .0809 
 
 .0X11 
 .0799 
 .0835 
 .0833 
 
 .0861 
 .0953 
 .1231 
 
 a Statistical Abstract of the U. S. , 1919, p. 361. 
 b Sec Table 2A. 
 
 This table shows that the merchant marine just about kept pace with 
 population until the beginning of the European War. A moderate rela- 
 tive increase in 1915 and 1917 was followed by a large growth in 1918 and 
 a tremendous expansion in 1919. The reasons for this development are 
 too well known to require comment.
 
 CHAPTER 17 
 BANKING x 
 
 § 17a. Sources of Information 
 
 The data for this chapter are derived mainly from the Annual Reports 
 of the Comptroller of the Currency. Unfortunately, the reports for banks 
 other than national are incomplete in many respects and, even in the case 
 of national banks, we have extremely meager information concerning the 
 number of employees. Under the circumstances, the results obtained by 
 this study must be considered as only moderately near the truth. 
 
 § 17b. The Composition of the Net Value Product 
 
 The value product of the banking industry is distributed in the form of 
 dividends to stockholders, additions to surplus, interest to depositors, and 
 wages to employees. There is also a relatively small item representing 
 donations to the Red Cross. Most of the interest paid on deposits other 
 than savings doubtless is paid to business enterprises and is taken into 
 account in the study of the various fields of industry. It has been arbi- 
 trarily assumed that an increase of 20 per cent in the interest paid by sav- 
 ings banks will be sufficient to cover those interest payments made to 
 individuals which are utilized to defray living expenses or which enter into 
 their private as opposed to their business resources. 
 
 § 17c. Net vs. Gross Dividends 
 
 A large part of the amount paid in dividends by the bank consists merely 
 in amounts passed along which are received from other industrial fields as 
 returns for investments therein. Since such amounts have already been 
 counted once, they must evidently be deducted here. The manner of esti- 
 mating the net dividends originating in the banking field appears in Table 
 17A. 
 
 § 17d. Undivided Profits 
 
 The net gains of the banking industry have to a large extent been kept 
 in the business as surplus or undivided profits. The amounts of these items 
 
 1 The figures cited in this report are those given for all banks and include banks in the 
 [sland Possessions. Their business is less than half a per cent, of the whole and is probably 
 much less than the business of non-reporting banks in the Continental U. S. Under these 
 circumstances, it has been deemed unnecessary to take the trouble to deduct the figures 
 for the Island banks from the summaries. 
 
 202
 
 BANKING 
 
 203 
 
 TABLE 17A 
 
 AX ESTIMATE OF THE AMOUNT OF THOSE DIVIDENDS PUD BY THE 
 HANKS OF THE UNITED STATES WHICH ORIGINATE IN THE BANK 
 ING BUSINESS 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 H 
 
 I 
 
 J 
 
 Calen- 
 dar 
 year 
 
 Loans 
 
 r< 
 
 (Mi 
 
 discounts and 
 ^discounts 
 ddlc (if year) 
 
 Dividends paid by 
 
 Face 
 value 
 of cor- 
 porate 
 securities 
 held by 
 banks c 
 (Millions) 
 
 Esti- 
 mated 
 average 
 yield on 
 securities 
 (Rate) 
 
 Estimated 
 
 income 
 
 from 
 
 securities 
 
 (Thousands 
 
 Gx H 
 
 Estimated 
 dividends 
 originat- 
 
 Of 
 national 
 banks a 
 
 (Thou- 
 sands) 
 
 Of all 
 banks e 
 (Thou- 
 sands) 
 
 Ratio 
 
 ot 
 
 C toB 
 
 2.244 
 2.294 
 2.314 
 
 2.333 
 
 2.371 
 2.37S 
 2.361 
 2.320 
 
 2 299 
 2.219 
 2.295 
 
 National 
 banks 6 
 (Thou- 
 sands) 
 
 All banks* 
 (Thou- 
 sands) 
 
 D X E 
 
 ing in 
 banking 
 (Thou- 
 sands) 
 F — I 
 
 1909 
 1910 
 1911 
 1912 
 
 1913 
 1914 
 1915 
 1916 
 
 1917 
 1918 
 1919 
 
 x.-,,o:;i; 
 5,430 
 5,611 
 5,954 
 
 6,143 
 6,430 
 6,660 
 7,679 
 
 8,958 
 10,148 rf 
 1 1,024 d 
 
 $11,303 
 12,459 
 
 12,: is:; 
 13,892 
 
 14,568 
 15,2XX 
 15,722 
 17,812 
 
 20.594 
 22,515 
 25,301 
 
 $99,446 
 110,292 
 117,493 
 120,103 
 
 120,427 
 117,327 
 114,216 
 120,131 
 
 127,65s 
 132, (is:; 
 141,600 
 
 $223,157 
 253,(1 111 
 271,879 
 280,200 
 
 285,532 
 279,004 
 269,664 
 278,704 
 
 293,486 
 291,121 
 325,300 
 
 $2,669 
 2,670 
 3,029 
 
 3.218 
 
 3,275 
 3,357 
 3.417 
 3,957 
 
 4,257 
 4,147 
 4,234 
 
 .05 
 .05 
 .05 
 ,05 
 
 .05 
 .05 
 .05 
 ,05 
 
 .05 
 
 05 
 .052 
 
 $133,455 
 
 13V,, is! 
 151,151 
 160,907 
 
 163,735 
 1(57,869 
 
 170,s:;_> 
 
 197,855 
 
 212.S5S 
 
 207,:; I 1 1 
 220,151 
 
 SS9.702 
 119,529 
 120,428 
 119,293 
 
 121,797 
 
 111,135 
 
 98,832 
 
 80,849 
 
 80,628 
 87,075 
 
 105.119 
 
 a Annual Report of the Comptroller of the Currency, 1919, Volume II, pp. 2.)2-303. 
 
 b Average of pairs of fiscal years; Annual Report of the Comptroller of the Cur- 
 rency, 1920, Volume I, p. 49. 
 
 « This item has been estimated by a series of rather complex calculations from the 
 various Annual Reports of the United States Comptroller of the Currency. Since 1915, 
 the reports have been incomplete and the errors may therefore be considerable. 
 
 <i Annual Report of the Comptroller of the Currency, 1919. Volume I, p. 175. 
 
 « Ibid., p. 186. 
 
 arc recorded in Table 17B as are also their approximate values at the 1913 
 price level, were they distributed to the stockholders. 
 
 The striking fact brought out by Table 17B is the very rapid gain in bank 
 surplus during the latter part of the decade, this gain being accompanied 
 by a considerable decline in the purchasing power of the net dividends dis- 
 bursed and of the interest paid on savings deposits. 1 Obviously, this 
 increase in surplus account has materially strengthened the financial situ- 
 ation of the banks. 
 
 ' See Table 17C.
 
 204 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 17B 
 
 THE GROWTH IN SURPLUS AND UNDIVIDED PROFITS AND THE TOTAL 
 ANNUAL GAIN OF THE STOCKHOLDERS OF ALL BANKS IN THE 
 UNITED STATES 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 
 Business savings 
 
 Dividends 
 originating in the 
 banking busi- 
 ness c 
 (Thousands) 
 
 Total share of 
 
 stockholders, 
 
 including 
 
 business savings 
 
 (Thousands) 
 
 B + E 
 
 Year 
 
 Thousands 
 of dollars « 
 
 Index of 
 
 wholesale 
 
 prices b 
 
 Value at 
 
 prices of 1913 
 
 B 
 
 C 
 
 1909 
 
 1910 
 
 1911 
 1912 
 
 $ 95,500 
 
 115,500 
 
 106,850 
 
 92,100 
 
 .97 
 
 .99 
 
 .95 
 
 1.01 
 
 $ 98,453 
 
 116,666 
 
 112,474 
 
 91,188 
 
 $ 89,702 
 119,529 
 120,428 
 119,293 
 
 $185,202 
 235,029 
 227,278 
 211,393 
 
 1913 
 
 1914 
 
 1915 
 
 1916 
 
 55,150 
 
 61,450 
 
 68,750 
 
 123,500 
 
 1.00 
 1.00 
 1.01 
 1.24 
 
 55,150 
 61,450 
 68,069 
 99,596 
 
 121,797 
 111,135 
 
 98,832 
 80,849 
 
 176,947 
 
 172,585 
 167,582 
 204,349 
 
 1917 
 1918 
 1919 
 
 152,550 
 194,100 
 333,600 
 
 1.76 
 1.96 
 2.12 
 
 86,676 
 
 99,031 
 
 157,358 
 
 80,628 
 
 87,075 
 
 105,149 
 
 233,178 
 281,175 
 438,749 
 
 a Annual Report of the Comptroller of the Currency, 1919, Vol. I, p. 18. 
 6 See p. 15 of Bulletin 269, of the U. S. Bureau of Labor Statistics. 
 e See Table 17A, Column J. 
 
 § 17e. The Purchasing Power of Dividends and Interest 
 
 The next step necessary is to measure the purchasing power at a con- 
 stant price level of the dividends originating in banking and of the interest 
 paid on savings accounts. This computation appears in Table 17C. 
 
 ^
 
 BANKING 
 
 TABLE 17C 
 
 20/ 
 
 AN ESTIMATE OF THE PURCHASING POWER OF DIVIDENDS ORIGINAT- 
 ING IN THE BUSINESS AND INTEREST PAID ON SAVINGS DEPOSITS 
 BY THE BANKS OF Till-] UNITED STATES 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 
 
 
 
 
 Purchasing 
 
 Cal- 
 
 Dividends 
 
 Index of 
 
 Purchasing 
 power of 
 
 Interest 
 
 Index of 
 prices of 
 goods con- 
 sumed by 
 working 
 classes ■' 
 
 power of 
 
 interest 
 
 en- 
 dar 
 
 year 
 
 originating 
 in banking 
 (Thou- 
 sands) 
 
 prices oi 
 goods con- 
 sumed by 
 
 wealthier- 
 classes b 
 
 dividends 
 
 at prices 
 
 of 1913 
 
 B 
 
 C 
 
 on savings 
 deposits r 
 
 (Thou- 
 sands) 
 
 on savings 
 
 deposits at 
 
 prices of 
 
 1913 
 
 E 
 
 
 
 
 
 
 T 
 
 1909 
 
 $ 89,702 
 
 . 965 
 
 $ 92,955 
 
 $133,680 
 
 . 955 
 
 8139,979 
 
 1910 
 
 119,529 
 
 .983 
 
 121,596 
 
 1 16,568 
 
 .978 
 
 1 19,865 
 
 1911 
 
 120,428 
 
 .990 
 
 121,611 
 
 151.920 
 
 .984 
 
 154,390 
 
 1912 
 
 119,293 
 
 1.000 
 
 119,293 
 
 160,660 
 
 .994 
 
 161,630 
 
 1913 
 
 121,797 
 
 1.000 
 
 121,797 
 
 170,749 
 
 1.000 
 
 170,749 
 
 1914 
 
 111,135 
 
 1.011 
 
 109,926 
 
 178,441 
 
 1.01 
 
 176,674 
 
 1915 
 
 98,832 
 
 .999 
 
 98,931 
 
 181,133 
 
 1.03 
 
 175,857 
 
 1916 
 
 80,849 
 
 1.081 
 
 74,791 
 
 185,070 
 
 1.10 
 
 168,245 
 
 1917 
 
 80,628 
 
 1.225 
 
 65,819 
 
 197,600 
 
 1.29 
 
 153, 178 
 
 1918 
 
 87,075 
 
 1 . 406 
 
 61,931 
 
 199,191 
 
 1.58 
 
 126,070 
 
 1919 
 
 105,119 
 
 1.648 
 
 63,804 
 
 214,747 
 
 1 773 
 
 121,121 
 
 « See Table 17A, Column J. 
 
 b Average of indices for classes spending annually for consumption goods $5,003 
 and $25,009 respectively. 
 
 f The amounts in this column are derived from the Annual Reports of the Comp- 
 troller of the Currency by multiplying the reported deposits in savings banks by 1.2, 
 in order to allow for savings in other banks, and by assuming that the interest paid 
 amounted to 3 per cent of these deposits. To this sum has been added the interest 
 on postal savings deposits. The last named quantity is reported for 1920 and estimated 
 for earlier years on the basis of deposits. Colonel M. C. Rorty suggests that the ratio 
 of 1.2 is low for recent years as savings in other banks have been increasing rapidly of 
 late. 
 
 d Bureau of Labor Statistics index carried back for earlier years — see Table 2C. 
 
 § 17f. Employees, Salaries, and Wages 
 
 According to a special report made in 1918, the National banks of the 
 United States employed in that year 8(5,845 persons. If the employees in 
 other banks were as numerous in proportion to the volume of loans and 
 discounts, it follows that all banks gave employment to about 192,500 
 persons in 1918 or about 6.66 employees per bank. The estimates of the 
 numbers employed in the other years are made on the basis that in each 
 year the average bunk employed 6.66 persons, that being the ease in 
 1918. 
 
 Presumably, unemployment is not an important factor in the banking
 
 200 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 field, hence no distinction has been made between the number of employees 
 actually at work and the number attached to the industry. 
 
 The total amounts paid for salaries and wages by National banks have 
 been reported by the Comptroller of the Currency since 1917. It has been 
 assumed that, previous to that date, these payments varied in proportion 
 to the total expenses of the same class of banks. It has further been 
 assumed that the ratio of salary and wage payments to the volume of 
 combined loans and discounts was the same for other banks as for 
 National banks. The figures resulting from these assumptions and cal- 
 culations appear in Table 17D. 
 
 TABLE 17D 
 
 AN ESTIMATE FOR THE BANKS OF THE UNITED STATES OF THE 
 NUMBER OF EMPLOYEES AND THE WAGES AND SALARIES PAID 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 Calendar 
 
 year 
 
 Salaries 
 and wages 
 paid by all 
 banks a 
 (Thou- 
 sands) 
 
 Number of 
 employees 
 attached 
 to industry a 
 
 Average an- 
 nual earnings 
 per employee 
 B 
 
 C 
 
 Index of 
 prices of 
 
 articles con- 
 sumed by 
 
 manual and 
 clerical 
 workers 
 
 Purchasing 
 power of an- 
 nual earnings 
 at prices of 
 1913 
 D 
 
 E 
 
 1909 
 
 1910 
 1911 
 1912 
 
 1913 
 1914 
 1915 
 1916. 
 
 1917 
 
 1918 
 
 1919 
 
 $115,400 
 122,700 
 136,900 
 148,900 
 
 160,900 
 164,100 
 183,400 
 214,300 
 
 230,200 
 281,300 
 361,650 
 
 149,900 
 153,900 
 162,300 
 167,860 
 
 173,000 
 178,150 
 180,300 
 183,200 
 
 186,000 
 192,500 
 194,000 
 
 $ 770 
 797 
 843 
 
 887 
 
 930 
 
 921 
 
 1,017 
 
 1,170 
 
 1,238 
 1,461 
 
 1,864 
 
 .955 
 
 .978 
 .984 
 .994 
 
 1.00 
 1.01 
 1.03 
 1.10 
 
 1.29 
 1.58 
 1.773 
 
 $ 807 
 815 
 857 
 892 
 
 930 
 
 912 
 
 987 
 
 1,064 
 
 959 
 
 925 
 
 1,051 
 
 a For mode of derivation, see the text. 
 
 The figures in Column F of Table 17D indicate that the economic condi- 
 tion of the employees has improved noticeably during the decade. How- 
 ever, the reader is warned against attaching great importance thereto, as 
 the assumptions made are too numerous to permit of the results being 
 anything more than rough approximations to the truth. 
 
 § 17g. The Share of Salaries and Wages in the Value Product 
 
 It is now possible for us to estimate the fraction of the value product of 
 the banking industry going to the employees. This is done in Table 17E. 
 
 S
 
 BANKING 
 
 207 
 
 TABLE 17E 
 
 AN ESTIMATE OF THE DIVISION OF THE NET VALUE PR( >DU< IT ARISING 
 
 FROM BANKING 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 Calendar 
 year 
 
 Share of 
 
 stock- 
 holders a 
 (Millions) 
 
 Share of 
 holders of 
 
 savings 
 accounts '> 
 Millions) 
 
 Share of 
 Red Cross 
 
 (Millions) 
 
 Shire of 
 
 employees d 
 
 (Millions) 
 
 Total nel 
 value product 
 
 (Millions) 
 B+C+D+E 
 
 Per cent 
 of value 
 
 product 
 going to 
 employees 
 
 ion] : 
 
 F 
 
 1909 
 1910 
 1911 
 1912 
 
 1913 
 1914 
 
 1915 
 
 1916 
 
 1917 
 1918 
 L919 
 
 $185 
 235 
 227 
 211 
 
 177 
 173 
 
 11 iS 
 204 
 
 233 
 
 281 
 439 
 
 $134 
 
 147 
 152 
 161 
 
 171 
 179 
 181 
 185 
 
 198 
 199 
 215 
 
 Ml 
 
 
 
 
 
 
 
 
 
 
 
 
 5 
 3 
 
 $115 
 123 
 137 
 149 
 
 161 
 164 
 183 
 
 214 
 
 230 
 281 
 362 
 
 S 434 
 501 
 516 
 521 
 
 509 
 515 
 
 532 
 604 
 
 661 
 
 767 
 
 1,018 
 
 ' 26.6 
 24.3 
 26.5 
 28.6 
 
 31.6 
 
 31.9 
 34.5 
 35.5 
 
 34.8 
 36 . 7 
 35 5 
 
 a Sea Column F of Table 17B. 
 b See Column E of Table 17C. 
 
 c Estimated from the Annual Reports of the U. S. Comptroller of the Currency; 
 averages for pairs of fiscal years. 
 
 d See Column B of Table 17D; comprises wages and salaries only. 
 
 It is clear that not only did the value product of the industry nearly 
 double during the decade, but apparently the per cent of that product 
 going to the employees increased steadily throughout the period. Again, 
 however, it must be kept in mind that information concerning the em- 
 ployees is too scanty to justify laying much stress on this tentative con- 
 clusion. It is certain, however, that the relative share of the employees 
 in the net value product is much smaller than in the fields of manufacturing 
 or transportation. 
 
 § 17h. Banking Facilities Compared to Population and Income 
 
 It is a matter of interest to note whether or not the people of the United 
 States are becoming increasingly dependent upon banking facilities in the 
 conduct of their business. Table 17F presents certain facts that bear 
 upon this problem.
 
 
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 BANKING 
 
 209 
 
 Column F of Table 17F makes it clear that batik accommodation is jusl 
 about keeping pace with population, but that it is not growing quite as 
 rapidly as the total income of the people of the nation. 
 
 >j 17i. Changes in the Volume of Business per Bank 
 
 It is also worth while to ascertain whether or not there is a tendency 
 
 for banks to grow larger on the average. If so, it should be apparent in the 
 
 average of loans and deposits per bank. The facts are set forth in Table 
 
 17G. 
 
 TABLE 17G 
 
 THE AVERAGE VOLUME OF COMBINED LOANS AND INDIVIDUAL 
 DEPOSITS IN THE BANKS OF THE UNITED STATES 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 Middle 
 of 
 year 
 
 Sum of loans 
 
 and individual 
 
 deposits a 
 
 (Millions) 
 
 Number of 
 
 banks a 
 
 Loans and 
 
 deposits per 
 
 bank 
 
 (Millions) 
 
 B 
 
 C 
 
 Index of 
 
 wholesale 
 
 prices '> 
 
 Purchasing 
 
 power of loans 
 
 and deposits 
 
 per bank at 
 
 prices of 1913 
 
 (Millions) 
 
 D -=- E 
 
 1909 
 
 1910 
 
 1911 
 
 1912. . . . 
 
 1913 
 
 1914. . . . 
 1915 
 1916... . 
 
 1917... 
 1918. . . . 
 1919... 
 
 $25,338 
 27,742 
 28,889 
 30,916 
 
 32,044 
 33,806 
 34,857 
 40,585 
 
 46,884 
 
 50,322 
 58,366 
 
 22,491 
 23,095 
 24,392 
 
 25,195 
 
 25,993 
 
 20,705 
 27,062 
 27,513 
 
 27,923 
 28,880 
 29,123 
 
 $1.13 
 
 1.20 
 1.18 
 1.23 
 
 1.23 
 1.26 
 
 1.29 
 1.48 
 
 1.68 
 1.74 
 2.00 
 
 .97 
 
 .99 
 
 .95 
 
 1.01 
 
 1.00 
 1.00 
 
 1.01 
 1.24 
 
 1.76 
 1.96 
 2.12 
 
 SI. 17 
 
 1.21 
 1.24 
 1.22 
 
 1.23 
 1.26 
 
 1.28 
 1.19 
 
 .95 
 
 so 
 .94 
 
 a Annual Report of U. S. Comptroller of the Currency, 1919, Volume I, p. I so. 
 b U. S. Bureau of Labor Statistics, Bulletin 269, p. 15. 
 
 It is clear that, on the average, a bank could finance less business at the 
 end of the decade than in the earlier years. If, as is sometimes asserted, 
 there is increasing; concentration in the banking business, it must then lie 
 in greater control of some banks by others and not in the growth in the 
 size of the average bank, since this still remains a relatively small concern.
 
 CHAPTER 18 
 ALL BRANCHES OF GOVERNMENT 
 
 § 18a. The Components of the Net Value Product 
 
 In dealing with, the product of government, the same criterion is used 
 that has been applied in the industrial fields previously studied; namely, 
 what Look or money income do individuals, as such, derive therefrom? 
 Evidently, governmental units expend great amounts for wages and sal- 
 aries, but they pay no dividends. Large sums are, however, disbursed in 
 interest, mostly to private individuals but to no inconsiderable extent to 
 banks. The interest going to banks must not be included in the govern- 
 mental value product since it is already accounted for as a receipt in the 
 banking industry. In this study, the net value product of government 
 will, then, he considered simply as the total of wages, salaries, pensions, 
 gratuities, and interest paid to private individuals. 
 
 Because of the nature of the available statistics government expendi- 
 tures have been divided into four main classes: 
 
 1. Federal. 
 
 2. State and County. 
 
 3. City and Village. 
 
 4. School Districts. 
 
 § 18b. The Number of Employees 
 
 One of the most difficult parts of the study has been to estimate the 
 number of employees engaged in each of these governmental fields. For 
 the United States Government, the sources made use of are the Official 
 Register, the Statistical Abstract, and the Annual Reports of the Secretary 
 of War and of the Postmaster General. While the results are not highly 
 accurate, it is almost certain that the errors in the estimates of the number 
 of Federal employees are relatively small. 
 
 It is difficult, however, to obtain any reasonably accurate figures con- 
 cerning the numbers of State and County employees. The United States 
 Census of Occupations gives practically no aid, for it records only offi- 
 cials, * leaving out of account the army of clerks, stenographers, etc., who 
 far outnumber those who are their superiors in rank. The desired num- 
 ber has therefore been estimated by ascertaining from a study of The 
 
 > Even these are doubtless often entered under their professions. 
 
 210
 
 ALL BRANCHES OF GOVERNMENT 211 
 
 Census of Wealth, Debt and Taxation and of The Financial Statistics of 
 States, the approximate total amounts paid as wages and salaries in the 
 various years and then dividing these totals by the average compensa- 
 tion for the services of State and County employees in New York as approx- 
 imated from the reports of the State Civil Service Commission. While we 
 have no reason for believing that New York salaries are especially non- 
 representative, a much wider base would be necessary before one could feel 
 confidence in the results. However, time was lacking to utilize fully the 
 scanty and ill-assorted material scattered through some of the State 
 reports, or to canvass thoroughly all of the State records in the hope of 
 finding better organized results which perchance may there exist. Even 
 the rather crude analysis here made represents the results of several weeks 
 of search and calculation. 
 
 The determination of the number of city and village employees offered 
 a problem only slightly less difficult of solution. Using the United States 
 Census reports and interpolating by aid of the police and fire department 
 records of several large cities, it was found possible to approximate reason- 
 ably well the number of policemen and firemen in all cities. It is believed 
 therefore that the results in this field are satisfactory. The number of 
 other city employees was estimated by first calculating the total wages 
 and salaries paid to city employees, using for this purpose the reports of 
 the auditors or comptrollers of various cities, and the Financial Statistics 
 of Cities published by the United States Census Bureau. The total for 
 each year was divided by an average wage estimated from the same sources 
 in order to obtain the approximate number of employees attached to the 
 industry. In this instance, a large quantity of usable data were found 
 and the results are therefore somewhat more dependable than in the case 
 of the States and Counties, although they are far from exact. Table ISA 
 summarizes the estimates. 
 
 In calculating the number of school employees, the reports of the United 
 States Commissioner of Education were the chief sources relied upon. 
 These reports give practically complete data for the common schools and 
 fairly satisfactory information concerning more advanced institutions. 
 The number of other school employees is, however, estimated from frag- 
 mentary evidence. The results as a whole are, therefore, only moderately 
 accurate.
 
 212 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 18A 
 
 \\ ESTIMATE b OF THE NUMBER OF PERSONS EMPLOYED BY THE 
 VARIOUS BRANCHES OF GOVERNMENT IN THE CONTINENTAL 
 UNITED STATES 
 
 
 
 Thousands of employees attach 
 
 sd to various branches of government 
 
 
 
 Ml 
 
 United States 
 
 States 
 
 Cities and villages 
 
 
 Year 
 
 
 
 
 Police 
 
 
 
 School 
 
 
 
 Army, 
 
 Postal 
 
 General 
 
 and 
 
 and fire 
 
 Municipal 
 
 General 
 
 districts" 
 
 
 
 navy and 
 
 service 
 
 govern- 
 
 Coun- 
 
 depart- 
 
 utilities 
 
 govern- 
 
 
 
 
 marines 
 
 
 ment 
 
 ties a 
 
 ments 
 
 
 ment 
 
 
 1909 
 
 1,565 
 
 135 
 
 280 
 
 142 
 
 161 
 
 96 
 
 29 
 
 149 
 
 573 
 
 1910 
 
 1,620 
 
 133 
 
 283 
 
 144 
 
 173 
 
 97 
 
 30 
 
 169 
 
 591 
 
 1911 
 
 1,671 
 
 137 
 
 283 
 
 147 
 
 184 
 
 100 
 
 31 
 
 LSI 
 
 607 
 
 1912 
 
 1,727 
 
 145 
 
 287 
 
 148 
 
 195 
 
 102 
 
 32 
 
 192 
 
 626 
 
 1913 
 
 1,785 
 
 148 
 
 291 
 
 150 
 
 211 
 
 108 
 
 33 
 
 200 
 
 644 
 
 1914 
 
 1,866 
 
 159 
 
 293 
 
 160 
 
 231 
 
 108 
 
 34 
 
 212 
 
 669 
 
 1915 
 
 1,955 
 
 166 
 
 296 
 
 174 
 
 250 
 
 111 
 
 35 
 
 228 
 
 694 
 
 1916 
 
 2,037 
 
 200 
 
 298 
 
 190 
 
 255 
 
 112 
 
 36 
 
 232 
 
 714 
 
 1917 
 
 2,691 
 
 786 
 
 300 
 
 232 
 
 253 
 
 115 
 
 37 
 
 235 
 
 733 
 
 1918 
 
 5,129 
 
 3,038 
 
 290 
 
 433 
 
 254 
 
 114 
 
 39 
 
 238 
 
 724 
 
 a Teachers employed by States are included under ''School Districts." 
 b For derivation of the items in this table see the text. 
 
 § 18c. The Amount Paid in Wages or Salaries 
 
 As previously stated, information is very incomplete concerning the 
 amount of salaries paid by governmental units. The Departments of the 
 Federal Government rarely give the complete totals anywhere in their 
 reports and, in many instances, wages and other expenses are so confused 
 that they cannot be separated. The results here given must, therefore, be 
 regarded only as approximations to the truth, although the existence of 
 reliable data for important payments made by the Department of Agri- 
 culture, the army and navy, and the Post Office Department make it 
 improbable that the errors in this field are unduly large. 
 
 The estimates for States and Counties are made by assuming that the 
 proportion of their total expenditures going as wages and salaries is the 
 same as in the State of New York. The total expenditures are estimated 
 from the Census reports on the Financial Statistics of States and on Wealth, 
 Debt, and Taxation. The result cannot be deemed more than a reasonable 
 approximation. 
 
 The salary and wage payments to employees by the general government 
 of cities and villages are computed on the basis of the records of the sample 
 cities of Chicago, Cincinnati, Providence and San Francisco. The as- 
 sumption has been made that wages and salaries absorb the same propor- 
 tion of general governmental costs in other cities as in the average of these 
 
 ,*
 
 ALL BRANCHES OF GOVERNMENT 
 
 213 
 
 four. The total general governmental costs are estimated from the figures 
 appearing in The Financial Statistics of Cities. The results here stated 
 must be considered as rather rough approximations to the truth. 
 
 The estimates for the pay of employees of municipal utilities, being com- 
 puted along somewhat similar lines, are only slightly more accurate. 
 The figures for policemen and firemen are, however, believed to be much 
 nearer the truth, being based upon the rather reasonable assumption that 
 average wages in New York, Chicago, Boston, Charleston, and Wash- 
 ington (the cities for which records are available), are fairly typical for 
 the entire nation. The figures for school employees are greatly streng- 
 thened by the fact that the United States Commissioner of Education 
 presents nearly complete data for teachers in the public schools. The 
 chief possibility of error arises from the lack of any but extremely fragmen- 
 tary data concerning the amounts paid for the services of janitors and 
 other non-teaching employees of school districts, colleges, and universities. 
 
 The general results are summarized in Table 18B. 
 
 TABLE 18B 
 
 AN ESTIMATE 6 OF THE TOTAL AMOUNTS DISBURSED BY VARIOUS 
 BRANCHES OF GOVERNMENT IN DIRECT PAYMENT FOR THE SERV 
 ICES OF EMPLOYEES 
 
 
 
 
 
 Millions 
 
 of Dollars Paid by 
 
 
 
 
 
 All 
 branches 
 of govern- 
 
 Federal government 
 
 States 
 and 
 
 Cities and villages 
 
 
 Calen- 
 dar 
 
 Army, 
 navy and 
 
 Posl 
 
 .Miscel- 
 laneous 
 
 Police 
 
 and lire 
 
 Municipal 
 
 Miscella- 
 neous civil 
 
 | Schools 
 
 year 
 
 ment 
 
 marine 
 
 office De- 
 
 civil de- 
 
 counties 
 
 depart- 
 
 utilities 
 
 depart- 
 
 
 
 
 corps " 
 
 partment 
 
 partments 
 
 
 ments 
 
 
 ment s 
 
 
 1909. . 
 
 $1,157 
 
 $ 113 
 
 $153 
 
 $148 
 
 $151 
 
 $113 
 
 $25 
 
 $158 
 
 $290 
 
 1910. 
 
 1,236 
 
 110 
 
 1G0 
 
 157 
 
 166 
 
 122 
 
 26 
 
 180 
 
 316 
 
 1911. . 
 
 1,300 
 
 112 
 
 166 
 
 156 
 
 181 
 
 126 
 
 26 
 
 196 
 
 337 
 
 1912. 
 
 1,378 
 
 119 
 
 174 
 
 156 
 
 199 
 
 132 
 
 27 
 
 210 
 
 362 
 
 1913. . 
 
 1,470 
 
 123 
 
 187 
 
 163 
 
 222 
 
 137 
 
 30 
 
 221 
 
 :;s: 
 
 1914. . 
 
 1 ,571 
 
 128 
 
 199 
 
 177 
 
 250 
 
 141 
 
 :;:; 
 
 229 
 
 11 1 
 
 1915. . 
 
 1.684 
 
 133 
 
 206 
 
 194 
 
 276 
 
 1 11 
 
 33 
 
 256 
 
 411 
 
 1916. 
 
 1,814 
 
 1 82 
 
 21 1 
 
 211 
 
 287 
 
 1 16 
 
 35 
 
 2iil 
 
 176 
 
 1917. . 
 
 2,530 
 
 769 
 
 220 
 
 271 
 
 293 
 
 151 
 
 37 
 
 268 
 
 52 1 
 
 1918. . 
 
 1,591 
 
 2,391 
 
 243 
 
 572 
 
 305 
 
 164 
 
 39 
 
 299 
 
 578 
 
 ii Includes allowance for board, lodging, clothing, etc., furnished. 
 i> For derivation, see text. 
 
 § 18d. The Average Annual Earnings of Employees 
 
 The division of the items in Table 18B by the corresponding ones in 
 Table 18A gives the figures appearing in Table 18C, these figures repre- 
 senting tin' average annual pay per employee in each of the divisions 
 
 considered.
 
 214 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 18C 
 
 AN ESTIMATE" OF THE AVERAGE ANNUAL PAY PER EMPLOYEE IN 
 VARIOUS BRANCHES OF GOVERNMENTAL SERVICE IN THE CON- 
 TINENTAL UNITED STATES 
 
 
 All 
 
 Federal Government 
 
 States 
 
 Cities and Villages 
 
 
 Cal- 
 
 Army, 
 
 Post 
 
 office 
 
 Depart- 
 
 
 
 
 
 
 en- 
 
 Branches 
 
 navy, 
 
 Miscel- 
 
 and 
 
 Police 
 
 Munic- 
 
 Miscel- 
 
 Schools 
 
 dar 
 
 of Gov- 
 
 and 
 
 laneous 
 
 Coun- 
 
 and fire 
 
 ipal 
 
 laneous 
 
 
 Year 
 
 ernment 
 
 marine 
 
 civil 
 
 ties 
 
 depart- 
 
 utilities 
 
 civil 
 
 
 
 
 corps b 
 
 ment 
 
 
 $ 938 
 
 ments 
 
 
 
 
 1909 
 
 $739 
 
 $838 
 
 $547 
 
 $1,040 
 
 $1,176 
 
 $ 843 
 
 $1,058 
 
 $517 
 
 1910 
 
 763 
 
 830 
 
 565 
 
 1,090 
 
 958 
 
 1,249 
 
 845 
 
 1,066 
 
 535 
 
 1911 
 
 77S 
 
 818 
 
 585 
 
 1,061 
 
 9.S2 
 
 1,262 
 
 845 
 
 1,079 
 
 555 
 
 1912 
 
 798 
 
 819 
 
 608 
 
 1,055 
 
 1,018 
 
 1,289 
 
 855 
 
 1,091 
 
 578 
 
 1913 
 
 823 
 
 830 
 
 644 
 
 1,088 
 
 1,053 
 
 1,263 
 
 903 
 
 1,103 
 
 601 
 
 1914 
 
 842 
 
 SOS 
 
 678 
 
 1,108 
 
 1,083 
 
 1,314 
 
 951 
 
 1,077 
 
 619 
 
 1915 
 
 861 
 
 803 
 
 696 
 
 1,117 
 
 1,104 
 
 1,291 
 
 954 
 
 1,120 
 
 635 
 
 1916 
 
 891 
 
 912 
 
 718 
 
 1,113 
 
 1,125 
 
 1,302 
 
 964 
 
 1,138 
 
 666 
 
 1917 
 
 940 
 
 978 
 
 736 
 
 1,165 
 
 1,157 
 
 1,314 
 
 9S2 
 
 1,141 
 
 711 
 
 1918 
 
 895 
 
 787 
 
 839 
 
 1,320 
 
 1,203 
 
 1,441 
 
 1,014 
 
 1,257 
 
 798 
 
 a For mode of derivation, consult text. 
 
 b Includes an allowance for board, lodging, clothing, etc., furnished. 
 
 
 In Table 18D the average pay is reduced to purchasing power at a 
 constant price level. 
 
 
 S
 
 ALL BRANCHES OF GOVERNMENT 
 
 21; 
 
 TABLE 18D 
 
 AN ESTIMATE OF THE PURCHASING POWER AT PRICES OF 1913 OF THE 
 PAY OF THE AVERAGE EMPLOYEE IN EACH OF THE LEADING 
 BRANCHES OF GOVERNMENTAL SERVICE 
 
 
 Index of 
 prices of 
 
 goods 
 used by 
 working 
 
 classes 
 
 Purchasing power of annual earnings of employees of <* 
 
 Cal- 
 
 All 
 branches 
 of gov- 
 ernment 
 
 Federal Government 
 
 States 
 
 and 
 Counties 
 
 Cities and Villages 
 
 
 en- 
 dar 
 year 
 
 Army, 
 navy 
 
 and 
 marine 
 
 corps 6 
 
 Post 
 office 
 Depart- 
 ment 
 
 Miscella- 
 neous 
 
 civil 
 depart- 
 ments 
 
 Police 
 and .fire 
 depart- 
 ments 
 
 Munic- 
 ipal 
 
 utilities 
 
 Miscella- 
 neous 
 civil 
 depart- 
 ments 
 
 Sehi..]|, 
 
 1909 
 1910 
 1911 
 1912 
 1913 
 
 1914 
 1915 
 1916 
 1917 
 1918 
 
 .955 
 978 
 
 .9X1 
 .994 
 1.00 
 
 1.01 
 1.03 
 1.10 
 1.29 
 1.58 
 
 $774 
 780 
 791 
 803 
 823 
 
 833 
 836 
 
 810 
 729 
 567 
 
 $877 
 849 
 831 
 824 
 830 
 
 800 
 780 
 829 
 
 758 
 l!is 
 
 $573 
 578 
 595 
 612 
 644 
 
 671 
 676 
 653 
 ."1 
 531 
 
 $1,089 
 
 1,115 
 1,078 
 1,061 
 
 1,088 
 
 1,097 
 
 1,084 
 
 1,012 
 
 903 
 
 835 
 
 $ 9S2 
 
 980 
 
 99S 
 
 1,024 
 
 1,053 
 
 1,073 
 
 1,072 
 
 1,023 
 
 897 
 
 761 
 
 $1,231 
 1,303 
 1,283 
 
 1 ,297 
 1,263 
 
 1,301 
 1,253 
 1,184 
 1,019 
 912 
 
 sss:; 
 864 
 859 
 860 
 903 
 
 942 
 926 
 S76 
 761 
 642 
 
 $1,108 
 1,090 
 1,097 
 1,098 
 1,103 
 
 1,066 
 1,087 
 1,035 
 
 884 
 796 
 
 $541 
 547 
 564 
 
 581 
 601 
 
 613 
 617 
 605 
 551 
 
 505 
 
 a Derived by dividing the respective items in Table 18C by the indices in the second 
 column of this table. 
 
 b Includes an allowance for subsistence. 
 
 The figures in Table 18D indicate that from 1909 to 1915, the earnings 
 of governmental employees were increasing steadily but that after that 
 date, mainly because of the sharp rise in the price level, nearly every class 
 suffered a loss in economic prosperity measured in terms of the amount of 
 commodities that the salaries would buy. 
 
 § 18e. Pensions 
 
 In addition to the sums paid out as wages and salaries for present labor, 
 governments expend large sums as pensions and annuities, payments which 
 may best be thought of as payments for services rendered in the pasl by 
 the employees of that day. The largest item in this list is, of course, the 
 army pension list, and records for this line are complete. It is feasible 
 also to obtain a general idea of the amounts paid by State and local gov- 
 ernments for pensions and gratuities. The final results of a compilation of 
 data on this subject are recorded in Table 18E.
 
 21G 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 18E 
 
 APPROXIMATE AMOUNT OF PENSIONS AND GRATUITIES PAID OUT BY 
 THE VARIOUS BRANCHES OF GOVERNMENT IN THE CONTINENTAL 
 UNITED STATES 
 
 a Estimated from the Financial Statistics of Cities issued by the Census Bureau. 
 
 b Estimated from the Financial Statistics of States published by the Census Bureau. 
 
 c Statistical Abstract of the United States, 1919, p. 741. 
 
 § 18f. Interest on Public Debts 
 
 The principal payments x made by government as a return for the ser- 
 vices of property consist of interest on the public debt. A considerable 
 share of this interest is paid to banks and, being accounted for in their 
 income, is therefore excluded from the net value product of government. 
 It is impossible to measure with accuracy the total volume of such inter- 
 est payments; but data are available indicating the approximate amount 
 of domestic governmental securities held by banks and by applying to 
 this total an estimated interest rate, one is enabled to approximate the 
 amount of this kind of interest payments made each year. Table 18F 
 indicates the procedure followed. 
 
 Corporations other than banks receive no inconsiderable share of the 
 bond interest paid by government, but since bond interest receipts are 
 excluded from the value product of such corporations it follows that inter- 
 est payments made to them must be treated just like those made to indi- 
 viduals. They have therefore been counted as part of the value product 
 of government. 
 
 There is, however, strong ground for contending that most governmental 
 interest payments, no matter to whom paid, should be excluded from the 
 
 1 Some money is expended for rent of leased buildings, but the amount is normally small 
 and hence has been omitted in this study. 
 
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 218 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 net income of the people. For reasons discussed in § lm, it has been 
 decided that accurate accounting requires their retention. 
 
 An estimate of the disbursements by the various branches of govern- 
 ment in the form of interest paid to private parties is presented in Table 
 18G. 
 
 TABLE 18G 
 
 AN ESTIMATE OF THE TOTAL AMOUNT OF INTEREST PAID TO INDIVID- 
 UALS BY THE DIFFERENT BRANCHES OF GOVERNMENT IN THE 
 CONTINENTAL UNITED STATES 
 
 
 Millions of dollars paid 
 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 Year 
 
 Interest paid to banks and individuals by 
 
 By all 
 branches 
 of govern- 
 ment to 
 banks c 
 
 By all 
 
 branches of 
 
 
 Federal 
 govern- 
 ment a 
 
 State and 
 local gov- 
 ernment b 
 
 All branches 
 of government 
 A + B 
 
 government 
 
 to private 
 
 individuals 
 
 C — D 
 
 1909 
 
 $ 22 
 21 
 22 
 23 
 23 
 
 23 
 
 23 
 
 24 
 
 111 
 
 407 
 
 $140 
 172 
 184 
 194 
 201 
 
 219 
 241 
 251 
 259 
 274 
 
 $162 
 193 
 206 
 216 
 224 
 
 242 
 264 
 275 
 370 
 680 
 
 $ 65 
 72 
 70 
 75 
 73 
 
 78 
 84 
 85 
 93 
 170 
 
 $ 96 
 
 1910. 
 
 121 
 
 1911 . 
 
 136 
 
 1912. 
 
 142 
 
 1913. 
 
 151 
 
 1914 
 
 1915 
 
 1916 
 
 164 
 180 
 190 
 
 1917 
 
 1918 
 
 277 
 510 
 
 a Statistical Abstract of the United States for 1919, p. 756, — averages for pairs of fiscal 
 years. 
 
 b Data from the Census of Wealth, Debt, and Taxation for 1913, Vol. II, pp. 40-43 
 and from the Financial Statistics of States, and the Financial Statistics of Cities published 
 by the Bureau of the Census. 
 
 c See Table 18F, Column J. 
 
 Table 18G shows clearly the steady increase in interest payments by 
 governmental units to private recipients and the especially rapid rise in 
 1917 and 1918 due mainly to the sale of Liberty Bonds by the Federal 
 Government. Before that date, the Federal debt was practically station- 
 ary, the increase nearly all coming from State and local governments. 
 
 § 18g. The Net Value Product and Its Division 
 
 We are now in a position to measure the total value product of govern- 
 ment and the percentage thereof going to employees. For reasons previ- 
 ously stated, government pensions, like pensions paid by corporations, 
 have been included with the share of the employees. The items have, 
 however, been separately stated so that anyone who disagrees with this
 
 ALL BRANCHES OF GOVERNMENT 
 
 219 
 
 point of view can easily make such adjustments as he may believe neces- 
 sary. In any case, the effect on the percentage will not be very great. 
 
 TABLE 18H 
 
 THE NET VALUE PRODUCT OF ALL BRANCHES OF GOVERNMENT IN 
 THE CONTINENTAL UNITED STATES AND THE PERCENTAGE 
 THEREOE GOING AS PAYMENT FOE THE SERVICES OF PAST AND 
 PRESENT EMPLOYEES 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 Year 
 
 Wages and 
 
 salaries a 
 (Millions) 
 
 Pensions 
 
 and 
 
 gratuities^ 
 
 (Millions) 
 
 Share of 
 employees, 
 
 past and 
 present 
 
 (Millions) 
 B + C 
 
 Interest 
 payments 
 
 to private 
 individuals r 
 
 (Millions) 
 
 Net value 
 
 product of 
 
 government 
 
 (Millions) 
 
 D +E 
 
 Per cent of 
 value prod- 
 uct g ling t i 
 employees 
 
 10)1) 
 
 F 
 
 1909 
 1910 
 1911 
 1912 
 1913 
 
 1914 
 1915 
 1916 
 1917 
 1918 
 
 $1,157 
 1,236 
 
 1,300 
 1,378 
 1,470 
 
 1,571 
 1,684 
 1,814 
 2,530 
 4,591 
 
 $187 
 185 
 185 
 196 
 208 
 
 206 
 202 
 203 
 216 
 251 
 
 $1,343 
 1,422 
 1,486 
 
 1,574 
 
 1,678 
 
 1,777 
 1,886 
 2,017 
 2,746 
 
 4,842 
 
 $ 96 
 121 
 136 
 142 
 151 
 
 164 
 
 180 
 190 
 277 
 510 
 
 $1,440 
 1,542 
 1,622 
 1,716 
 
 1,829 
 
 1,941 
 
 2,0 Hi 
 2,207 
 
 3.023 
 5,352 
 
 93.3 
 
 92 . 2 
 91.6 
 91.7 
 91.7 
 
 91.6 
 91.3 
 
 91.4 
 90.8 
 
 90 5 
 
 « See Table 18B 
 b See Table 18E. 
 c See Table 18G, Column E. 
 
 It is clear that past or present employees get most of the net value 
 product of government, only about one-tenth of the whole going to the 
 creditors in the form of interest. In 1917 and 1918 there is discernible 
 a slight diminution in the percentage going to employees, a diminu- 
 tion which will probably increase in 1919 and 1920 owing to the 
 increased size of the Federal debt, and the smaller number of Federal 
 employees. 
 
 Having arrived at the net value product of the different branches of 
 government within the United Stales, it is ;l matter of interest to reduce 
 the results to terms of purchasing power. This is done in Table 181. 
 
 A glance at Table 181 makes it evident that governmental outlays have 
 more than doubled during the decade, even when all the effects of price 
 inflation have been eliminated. The very sharp increase in 1918 was 
 mainly due to the war and may of course soon be partially offset by 
 reductions.
 
 220 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 181 
 
 AN ESTIMATE OF THE PURCHASING POWER AT PRICES OF 1913 OF THE 
 NET VALUE PRODUCT OF ALL BRANCHES OF GOVERNMENT IN THE 
 CONTINENTAL UNITED STATES 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 H 
 
 
 
 
 
 
 Index 
 
 
 
 
 
 Index of 
 
 Purchas- 
 
 
 of prices 
 
 
 Purchas- 
 
 
 Total 
 
 prices 
 
 ing power 
 
 
 of goods 
 
 Purchas- 
 
 ing power 
 
 
 share 
 
 of goods 
 
 of share 
 
 Interest 
 
 consumed 
 
 ing power 
 
 of net 
 
 
 of past 
 
 con- 
 
 of em- 
 
 paid to 
 
 by indi- 
 
 of share 
 
 value 
 
 Year 
 
 and pres- 
 
 sumed by 
 
 ployees d 
 
 individ- 
 
 vidual 
 
 of security 
 
 product 
 
 
 ( nt em- 
 
 manual 
 
 at prices 
 
 uals c 
 
 holders 
 
 holders 
 
 of gov- 
 
 
 ployees a 
 
 and 
 
 of 1913 
 
 (Millions) 
 
 of gov- 
 
 (Millions) 
 
 ernment 
 
 
 (Millions) 
 
 clerical 
 
 (Millions) 
 
 
 ernment 
 
 E ~ F 
 
 (Millions) 
 
 
 
 workers b 
 
 B -*- C 
 
 
 secur- 
 ities e 
 
 
 D + G 
 
 1909. . 
 
 $1,343 
 
 . 955 
 
 $1,407 
 
 $ 96 
 
 .964 
 
 $100 
 
 $1,507 
 
 1910.. . 
 
 1,422 
 
 . 978 
 
 1,453 
 
 121 
 
 .983 
 
 123 
 
 1,576 
 
 1911. 
 
 1,4S6 
 
 .984 
 
 1,510 
 
 136 
 
 .989 
 
 138 
 
 1,648 
 
 1912. 
 
 1,574 
 
 .994 
 
 1,584 
 
 142 
 
 .998 
 
 142 
 
 1,726 
 
 1913... 
 
 1,678 
 
 1.000 
 
 1,678 
 
 151 
 
 1.000 
 
 151 
 
 1,829 
 
 1914.. . 
 
 1,777 
 
 1.01 
 
 1,759 
 
 164 
 
 1.011 
 
 162 
 
 1,921 
 
 1915... 
 
 1,886 
 
 1 . 03 
 
 1,831 
 
 180 
 
 1 006 
 
 179 
 
 2,010 
 
 1916.. . 
 
 2,017 
 
 1.10 
 
 1,834 
 
 190 
 
 1 . 084 
 
 175 
 
 2,009 
 
 1917.. . 
 
 2,746 
 
 1.29 
 
 2,129 
 
 277 
 
 1.234 
 
 224 
 
 2,353 
 
 1918... 
 
 4,842 
 
 1.58 
 
 3,064 
 
 510 
 
 1.439 
 
 354 
 
 3,419 
 
 a See Table 18H, Column D; includes pensions. 
 
 b U. S. Bureau of Labor Statistics index carried back by means of a special study; 
 see Table 2C. 
 
 c See Table ISO, Column E. 
 
 d Includes pensions. 
 
 e A combined index for working class families and families spending respectively 
 $5,000 and $25,000 annually for consumption goods, the weights in order being 1, 1 and 2. 
 
 § 18h. The Per Capita Net Value Product 
 
 It is worth while to compare next the relative rates of growth of the 
 net value product of government when reduced to terms of constant price 
 level, with the increase in the population of the country. This com- 
 parison appears in Table 18J. 
 
 The decade has increased the purchasing power of income derived from 
 government to about twice as much per person in the United States as was 
 the case in 1909, but the really striking increase did not come until the 
 advent of the war, most of it being in 1919. This index represents fairly 
 well the relative services of government to the people and its burdensome- 
 ness to the taxpayers in the different years. 
 
 
 ,<*
 
 ALL BRANCHES OF GOVERNMENT 
 
 221 
 
 TABLE 18J 
 
 THE PER CAPITA NET VALUE PRODUCT AT PRICES OF 1913 OF ALL 
 BRANCHES OF GOVERNMENT IN THE CONTINENTAL UNITED 
 STATES 
 
 A 
 
 B 
 
 C 
 
 D 
 
 Year 
 
 Purchasing power 
 
 of net value 
 product ° 
 (Millions) 
 
 Populal ion of the 
 
 Continental United 
 
 States b 
 
 (Thousands) 
 
 Per capita purchasing 
 power 
 B 
 
 C 
 
 1909 
 
 1910 
 
 1911 
 
 L912 
 
 1913 
 
 $1,507 
 1,576 
 1,648 
 1,726 
 1,829 
 
 1,921 
 2,010 
 2,009 
 
 2,35;; 
 
 3,419 
 
 90,370 
 92,229 
 93,811 
 95,338 
 
 97,278 
 
 99,194 
 100,428 
 101,722 
 103,059 
 104,182 
 
 S17 
 17 
 18 
 is 
 19 
 
 1914 
 
 1915 
 
 1916 
 
 1917 
 
 19 
 20 
 20 
 23 
 
 1918 
 
 33 
 
 
 
 a See Table 181, Column H. 
 b See Table 2A. 
 
 § 18i. The Share of Government in the National Value Product 
 
 One of the most interesting questions to be answered by this study is 
 whether the activities of government are an increasing or dirniriishing 
 factor in our national life. This query is partially answered by Table 
 18K. Of course, the very rapid development of governmental activity 
 during the war years can scarcely be assumed to have any significant 
 relationship to the trend under discussion until later developments show 
 whether the encroachments of government upon the former domain of 
 private activity are permanent or transitory. 
 
 While it is perfectly clear thai there was a sharp increase in the relative 
 activity of government in 1918, it is somewhat doubtful whether there was 
 any real growth in the percentage before that date. The probabilities 
 are, however, that tin trend was slightly upward throughout the decade 
 but the movement was certainly not striking enough either to satisfy the 
 proponents of government ownership or greatly to alarm its opponents.
 
 222 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 18K 
 
 THE ESTIMATED SHARE OF GOVERNMENT IN THE NET VALUE 
 PRODUCT OF ALL THE INDUSTRIES OF THE CONTINENTAL UNITED 
 STATES 
 
 A 
 
 B 
 
 C 
 
 D 
 
 Year 
 
 Net value product 
 
 of all industries b 
 
 (Millions) 
 
 Net value 
 
 product of all 
 
 branches of 
 
 government'^ 
 
 (Millions)' 
 
 Per cent of value 
 
 product originating 
 
 in government 
 
 activity 
 
 C B 
 
 1909 
 
 1910 
 
 1911 
 
 1912 
 
 1913 
 
 1914. 
 
 $28,775 
 31,766 
 31,188 
 33,554 
 35,580 
 
 33,936 
 36,109 
 
 45,418 
 53,860 
 60,366 
 
 $1,440 
 1,542 
 1,622 
 1,716 
 1,829 
 
 1,941 
 2,066 
 2,207 
 3,023 
 5,352 
 
 5.00 
 4.85 
 5.20 
 5.12 
 5.14 
 
 5 72 
 
 1915 
 
 1916 
 
 1917 
 
 1918 
 
 5.72 
 
 4.86 
 5.61 
 8.87 
 
 a See Table 18H, Column F. 
 b See Vol. I, Table 2. 
 
 <*
 
 CHAPTER 10 
 UNCLASSIFIED INDUSTRIES AM) .MISCELLANEOUS INCOME 
 
 § 19a. The Field Covered 
 
 It is an unfortunate fact that there exists a large section of the industrial 
 field the activities of which are not recorded by the Census Bureau, the 
 Interstate Commerce Commission, or any other Federal agency. State 
 and municipal reports and private investigation give an inkling, but 
 nothing more, concerning the value product in this statistical "no man's 
 land." Wage data, while scattered, are fortunately quite abundant, and 
 the income tax throws some light upon the gains of enterprise and property. 
 These, then, are the chief sources upon which reliance must be placed. 
 
 The income derived from this field includes that arising from mercan- 
 tile operations, both wholesale and retail, from the activities of independ- 
 ent professional men such as physicians and lawyers, from personal ser- 
 vice, from the rental of business buildings, and from interest allowance on 
 the value of consumption goods on hand, besides that from numerous 
 minor sources. These items of income are grouped and summarized in the 
 estimates which follow. The figures for the earnings of employees are 
 believed to be reasonably accurate: the remaining estimates may be widely 
 in error. 
 
 § 19b. Number of Persons Occupied in Unclassified Industries 
 
 The number of entrepreneurs and employees attached to unclassified 
 industries has been estimated by the simple process of adding up the num- 
 bers of each class reported for all of the industries thus far recorded and 
 subtracting the totals thus obtained from the respective total numbers of 
 entrepreneurs and employees estimated as being attached to all industries. 
 In the case of the employees, the number thus arrived at for each year 1 
 has been multiplied by an estimated percentage of employment, and the 
 resulting products 2 have in turn been multiplied by the average full time 
 wage computed for the unclassified field. 
 
 § 19c. The Earnings of Employees 
 
 This average wage is based upon a study of 1GG average wage records, 
 some more or less fragmentary, but all of which were estimated or pieced 
 
 i See Table 19A, Column F. 
 
 2 These products represent the numbers actually working and are entered in Table 19 A. 
 Column B. 
 
 223
 
 224 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 out for the entire decade. These separate records have been weighted 
 roughly in proportion to the number of employees in the field which they 
 best typified — the numbers being taken from the Census of Occupations of 
 1910. Table 19A presents the results of these operations. 
 
 TABLE 19A 
 
 AN ESTIMATE OF THE NUMBER OF EMPLOYEES IN UNCLASSIFIED 
 INDUSTRIES AND THEIR AVERAGE COMPENSATION FOR SERVICES 
 
 A 
 
 B 
 
 Number 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 Average 
 
 H 
 
 I 
 
 
 
 Fraction 
 
 Number of 
 
 Index of 
 
 Purchasing 
 
 
 of 
 
 
 Total 
 
 actually 
 
 employees 
 
 annual earn- 
 
 prices of 
 
 power of 
 
 
 employees 
 
 Average 
 
 earnings of 
 
 working 
 
 attached 
 
 ings of those 
 
 goods con- 
 
 average 
 
 Year 
 
 actually 
 
 full-time 
 
 employees 
 
 of those 
 
 to industry 
 
 attached to 
 
 sumed by 
 
 annual 
 
 
 at work « 
 
 annual 
 
 (Thousands) 
 
 attached 
 
 (Thousands) 
 
 industry 
 
 manual or 
 
 earnings 
 
 
 (Thou- 
 
 earnings a 
 
 B X C 
 
 to 
 
 B 
 
 D 
 
 clerical 
 
 G 
 
 
 sands) 
 
 
 
 industry b 
 
 E 
 
 6,823 
 
 F 
 
 $ 716 
 
 workers c 
 
 0.955 
 
 H 
 
 1909. . 
 
 6,290 
 
 $ 777 
 
 $4,887 
 
 0.92 
 
 $750 
 
 1910. . 
 
 6,830 
 
 802 
 
 5,478 
 
 .93 
 
 7,376 
 
 743 
 
 .978 
 
 759 
 
 1911.. 
 
 6,820 
 
 806 
 
 5,497 
 
 .89 
 
 7,685 
 
 715 
 
 .984 
 
 727 
 
 1912. . 
 
 7,400 
 
 833 
 
 6,161 
 
 .93 
 
 7,980 
 
 772 
 
 .994 
 
 777 
 
 1913. . 
 
 7,020 
 
 858 
 
 6,538 
 
 .91 
 
 8,397 
 
 779 
 
 1.000 
 
 779 
 
 1914. . 
 
 7,100 
 
 885 
 
 6,284 
 
 .87 
 
 8,183 
 
 768 
 
 1.01 
 
 760 
 
 1915. . 
 
 7,031 
 
 904 
 
 6,356 
 
 .88 
 
 8,175 
 
 777 
 
 1.03 
 
 755 
 
 1910. . 
 
 7,477 
 
 942 
 
 7,043 
 
 .92 
 
 8,127 
 
 867 
 
 1.10 
 
 788 
 
 1917. . 
 
 7,290 
 
 1,012 
 
 7,384 
 
 .9;; 
 
 7,600 
 
 972 
 
 1.29 
 
 753 
 
 1918. . 
 
 6,008 
 
 1,087 
 
 6,531 
 
 .97 
 
 6,194 
 
 1,054 
 
 1.58 
 
 667 
 
 a For mode of derivation, see text. 
 6 See § 2d for method of computation. 
 
 c U. S. Bureau of Labor Statistics index carried hack, by means of a special study; 
 see Table 2C. 
 
 It is clear that, in the closing years of the decade, wages and salaries 
 failed to parallel the sharp rise in the price level, the result being that the 
 economic condition of the employees was worse in 1918 than at any other 
 time in the period. 
 
 § 19d. The Effect of the War on the Number of Employees 
 
 Another interesting feature of the table is the decided fall in the number 
 of employees occurring in 1918. This fall is in sharp contrast to the rise 
 occurring in most of the other reporting fields and shows where the drain 
 in man power for the army produced its ultimate effect. This is, of course, 
 not at all equivalent to assuming that the army was composed of a larger 
 proportion of men formerly engaged in this rather than in other fields, for 
 there was shifting all along the line until the reduction occurred in the lines 
 of activity least necessary for war purposes. 
 
 *
 
 UNCLASSIFIED INDUSTRIES AM) MISCELLANEOUS INCOME 225 
 
 § 19e. The Profits of Entrepreneurs 
 
 The estimate of the profits of the entrepreneurs in unclassified indusl riea 
 rests almost wholly upon the reports of the Federal Bureau of Internal 
 Revenue for 1916. In their Statistics of Income for that year (pages 126 to 
 137), are given frequency tables of the incomes of persons in different occu- 
 pations. Those groups belonging in the unclassified field were segregate I 
 and summated and the curve derived therefrom was plotted and extended 
 to cover the incomes falling below the taxable limit. The general assump- 
 tion was made 1 that the net income of entrepreneurs remained somewhat 
 above that for employees at the same relative points on the distribution 
 scale. 
 
 An estimate was next made of the fraction of the total income of persons 
 in these selected occupations which was derived from the gains of business 
 or profession, this estimate being also based upon Statistics of Income. 
 The total income as computed was multiplied by this fraction in order to 
 arrive at the gains of entrepreneurs in unclassified industries. 
 
 Since for other years, the distributions of individual incomes were not 
 reported by occupations, it was necessary to make rough estimates there- 
 for based upon variables which it was believed might prove representa- 
 tive; namely bank clearings, profits in other industrial fields, and the net 
 gains of corporations as shown by the income-tax reports. Owing to the 
 complexity of the procedure adopted, if seems impracticable to do more 
 here than to present the final results of the study. The lack of sat isfactory 
 data necessarily gives rise to the possibility of great error, hence the results 
 obtained cannot be considered as anything more than very rough approxi- 
 mations to the truth. 
 
 The statistics of the earnings of corporations engaged in business in tin-; 
 field are, for recent years, more complete than are those of the incomes of 
 individual entrepreneurs. Although this group cannot be accurately 
 regated in 1917 and 1918, it seems quite certain that the figures here pre- 
 sented for the three years beginning with 1916 are accurate enough for 
 practical purposes. Before the first date mentioned, however, it has been 
 necessary to make estimates by using as an index of change a combination 
 of bank clearings and total profits in other recorded lines of industry. 
 
 § 19f. Rents and Royalties 
 
 In the Statistics of Income published each year by the Bureau of Internal 
 Revenue, appears a record of the total rents and royalties received by mem- 
 bers of each income class. These quantities have been plotted as curves 
 and the curves have been extended to take in the income classes below the 
 taxable limit. Since the amount of contract rent received by the poorer
 
 226 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 classes of the population is presumably small, it seems probable that the 
 error involved in the method used is relatively unimportant. There is 
 greater danger that a large fraction of rents received are not reported to 
 the income tax authorities. Should such be the case, the estimates pre- 
 sented would of course be too low, as no adjustment has been made for 
 non-reporting. 
 
 Contract rents and royalties have already been calculated for a num- 
 ber of industries. These amounts have been added together and their 
 sum has been subtracted from the estimated total of the same for the entire 
 country, the remainder being assumed to represent the net rents and royal- 
 ties received from unclassified industries. 
 
 Before 1916, the income-tax reports furnished no information concern- 
 ing rents and royalties. For the earlier years, therefore, it was assumed 
 that the non-reported rents varied in approximately the same manner as 
 did those in the reporting industries. 
 
 The results of these assumptions concerning the aggregate of rents 
 appear in Table 19B. 
 
 TABLE 19B 
 
 AN ESTIMATE OF THE TOTAL OF CONTRACT RENTS IN UNCLASSIFIED 
 
 FIELDS OF INDUSTRY 
 
 A 
 
 B 
 
 C 
 
 D 
 
 Year 
 
 Total contract 
 rents in the 
 United States a 
 (Millions) 
 
 Contract rents 
 
 accounted for in 
 
 all industries 
 
 having records 
 
 of rents a 
 
 (Millions) 
 
 Contract rents 
 
 not otherwise 
 
 accounted for 
 
 (Millions) 
 
 B — C 
 
 1909 
 
 1910 
 
 1911 
 
 1912 
 
 1913 
 
 1914 
 
 1915 
 
 1916 
 
 1917 
 
 $ 668 
 705 
 732 
 776 
 817 
 
 833 
 
 883 
 
 1,000 
 
 1,150 
 
 1,290 
 
 $ 550 
 580 
 601 
 637 
 669 
 
 681 
 720 
 813 
 932 
 
 1,027 
 
 $118 
 125 
 131 
 139 
 148 
 
 152 
 163 
 
 187 
 219 
 
 1918 
 
 263 
 
 ° For derivation, see the text. 
 
 § 19g. The Total Share of Enterprise and Property 
 
 Table 19C summarizes the different items entering into the share of 
 enterprise and property in the unclassified field and reduces the total to 
 
 *
 
 UNCLASSIFIED INDUSTRIES AND MISCELLANEOUS INCOME 227 
 
 terms of purchasing power. The index used for the last mentioned purpose 
 is a combination of the indices of prices of goods used by the workers and 
 by consumers of moderate means. This index is chosen because many of 
 the small proprietors have no more income than the well-to-do workers; 
 hence their type of consumption is probably essentially similar to that of 
 employees. 
 
 TABLE 19C 
 
 AN ESTIMATE OF THE SHAKE OF THE EXTREI'REXEERS AND OTHER 
 PROPERTY OWNERS IN THE NET VALUE PRODUCT OF UNCLASSI- 
 FIED INDUSTRIES 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 
 Profits accrued plus 
 
 
 Total share 
 
 
 Purchasing 
 power of 
 
 
 interest." 
 
 
 of entrepre- 
 
 
 share of 
 
 
 Paid out by 
 
 Contract 
 
 neurs and 
 
 Index of 
 
 entrepre- 
 
 Year 
 
 
 
 
 prices of 
 goods 
 
 neurs and 
 other 
 
 
 Private 
 
 royalties '■ 
 
 property 
 
 
 Corpora- 
 
 (Millions) 
 
 owners 
 
 consumed <• 
 
 property 
 
 
 tions 6 
 
 entre- 
 
 
 (Millions) 
 
 
 owners 
 
 
 (Millions) 
 
 preneurs b 
 
 
 B + C+D 
 
 
 (Millions) 
 
 
 
 (Millions) 
 
 
 
 
 E4-F 
 
 1909 
 
 $ 848 
 
 $2,232 
 
 $118 
 
 $3,198 
 
 .955 
 
 S3.348 
 
 1910 
 
 919 
 
 2,360 
 
 125 
 
 3.404 
 
 .977 
 
 3,484 
 
 1911 
 
 862 
 
 2,395 
 
 131 
 
 3,388 
 
 .984 
 
 3,443 
 
 1912 
 
 !(6f, 
 
 2,582 
 
 139 
 
 3,687 
 
 .998 
 
 3,702 
 
 1913 
 
 1,008 
 
 2,652 
 
 148 
 
 3,808 
 
 1.000 
 
 3,808 
 
 1914 
 
 909 
 
 2,5s: i 
 
 1 52 
 
 3,644 
 
 1.011 
 
 3,604 
 
 1915 
 
 1,014 
 
 2,723 
 
 L63 
 
 3,899 
 
 1.016 
 
 3,838 
 
 1916 
 
 1,569 
 
 3,609 
 
 1S7 
 
 5,364 
 
 1.094 
 
 4,903 
 
 1917 
 
 1,834 
 
 4,601 
 
 219 
 
 6,654 
 
 1.271 
 
 5,235 
 
 1918 
 
 1,047 
 
 4,601 
 
 263 
 
 5,911 
 
 1.514 
 
 3,904 
 
 a Evidence from the income tax reports indicates that total bond or mortgage in- 
 terest is only about one-hundredth as groat as profits. 
 
 6 For mode of estimation, see text. 
 
 c Average of indices representing respectively the consumption of working people 
 and of families spending $5,000 each annually for consumption goods. 
 
 The chief points of importance brought out by Table 19C are: first, 
 that contract rents form a relatively small part of the total; second, that 
 private and not corporate entrepreneurs dominate this field; and third, 
 that 1916 and 1917 were extremely profitable years for the entrepreneurs 
 here as well as elsewhere. 
 
 § 19h. Other Classes of Miscellaneous Income 
 
 There is a very considerable aggregate of income which forms part of 
 the total for the nation but which cannot legitimately be considered as
 
 228 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 being derived from any of the fields of industry yet discussed. This income 
 has been treated under four heads: 
 
 1. Net rental value of owned homes. 
 
 2. Interest on value of miscellaneous direct or consumption goods on 
 hand. 1 
 
 3. Profits from cow-keeping in villages or cities. 
 
 4. Profits accruing to urban dwellers from the keeping of poultry and 
 the raising of gardens. 
 
 § 19i. The Net Rental Value of Owned Homes 
 
 The net rental value of owned homes has been calculated by following 
 the assumption that the value per person amounted to $50 in 1913 2 and 
 varied therefrom in proportion to the index of rents. Since farm homes 
 are accounted for under agriculture, it remains only to estimate the 
 amount for urban homes. The figures in Vol. I, p. 1294 of the Population 
 Census for 1910 indicate that 4,411,000 of these homes were occupied 
 by the owners. At 4.492 persons per home, they would house 19,820,000 
 people. This number presumably has varied about in proportion to the 
 size of that part of the population not living on farms. This fraction of 
 the population has therefore been estimated for each year on the basis of 
 the Census reports. The resulting numbers have been multiplied by the 
 average amount allowed for rent. The results and some of the processes 
 appear in Table 19D. 
 
 § 19 j. Interest on the Value of Direct Goods 
 
 It is common to think of residences as representing investments upon 
 which an allowance must be made to represent current income to the 
 owner, but it is less usual to consider other durable consumption goods in 
 the same manner. Evidently they are in exactly the same category, the 
 only differences being that residences represent a larger aggregate of value 
 in one unit, hence attracting more attention, and that they are a type of 
 goods very frequently leased and dealt in as commodities, while automo- 
 biles, pictures, clothing, furniture, etc., are seldom rented and very com- 
 monly do not change ownership again after leaving the hands of the 
 dealer. Logically, a net rental for the entire stock of consumption goods 
 on hand must be estimated and added. Practically no information is 
 available which makes possible an estimate of this kind. The nearest feasi- 
 
 1 Colonel M. C. Rorty (one of our directors) believes that this item should be omitted 
 from the total. The problem is discussed in § 19j. 
 
 2 In 1913, the per capita income of the average inhabitant of the United States was about 
 $350. The income of home owners was presumably materially larger than the average in- 
 come — perhaps $500 per capita. Numerous studies seem to indicate that the gross rental 
 of homes is likely to amount to about 15 per cent, of the family income. If the net rental 
 equalled two-thirds of the gross rental it would then amount to ^ X i\fo^ $500, or $50. 
 
 I 
 I
 
 UNCLASSIFIED INDUSTRIES AND MISCELLANEOUS INCOME 229 
 
 TABLE 19D 
 
 THE ESTIMATED NET RENTAL VALUE OF THOSE HOMES IX CITIES 
 AND VILLAGES OF THE CONTINENTAL UNITED STATES WHICH ARE 
 OCCUPIED BY THE OWNERS 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 Year 
 
 Number of 
 urban families 
 
 residing in 
 owned homes 
 (Thousands) 
 
 Population 
 
 of 
 
 United States 
 
 not residing 
 
 on farms b 
 
 (Thousands) 
 
 61,830 
 63,629 
 65,211 
 
 66,748 
 68,698 
 
 70,654 
 71,928 
 73,262 
 
 74,639 
 75,792 
 
 Population 
 
 Of cities 
 
 and villages 
 
 residing in 
 
 owned homes ' 
 
 (Thousands) 
 
 Net rental 
 
 value per 
 
 person of 
 
 homes owned c 
 
 Total net 
 rental value of 
 owned homes 
 
 (Millions) 
 DX E 
 
 1909. . 
 1910. . 
 1911. . 
 1912 . 
 1913.. 
 
 1914.. 
 1915.. 
 1916 
 1917. . 
 1918.. 
 
 4,411a 
 
 19,230 
 19,820 
 20,2! 10 
 20,780 
 21,390 
 
 22,001) 
 22,360 
 22,800 
 23,230 
 23,590 
 
 $48.50 
 
 50 50 
 50.50 
 50.00 
 50.00 
 
 50.00 
 50.50 
 
 51 .00 
 50.50 
 
 52 . 50 
 
 $ 933 
 l.Olil 
 1,025 
 1,039 
 
 1,069 
 
 1,100 
 
 1,129 
 1,163 
 1 , 1 73 
 1,238 
 
 a Derived from the Census of Population for 1910, Vol. I, p. 1204, by apportioning 
 the unreported and encumbered homes — the latter on the basis of full ownership. 
 b Estimated from the Census, 
 c For mode of derivation, see the text. 
 
 ble approach to such a figure is arrived at by applying an assumed interest 
 rate to the value as reported by the Census of W<alth, Debt, and Taxation 
 and then proceeding to make estimates for other years based upon the 
 variations in an index representing a product of the prices of durable eon- 
 sumption goods and the population of the United States. Such an est iinat e 
 is made in Table 19E. 
 
 § 19k. Profits from Cow-Keeping 
 
 The basis for computing the profits from cows kept in cities and villages 
 is very slender but this is not a matter of very great moment since the total 
 is relatively unimportant. 
 
 Once in a decade, the Census of Agriculture records the number of milk 
 cows not on farms. It was found by the United States Public Health 
 Service through a special study that the average profil obtained from keep- 
 ing a cow in South Carolina was about $75 per year. This amount has 
 been varied from year to year according to an index number of the price of 
 daily products and then, in order to obtain the total entered in Table I'.'l',
 
 230 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 19E 
 
 AN ESTIMATE OF THE INTEREST OX THE INVESTMENT IN 
 CONSUMPTION GOODS OTHER THAN RESIDENCES 
 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 H 
 
 
 Index of 
 
 
 Index of total 
 
 
 
 
 Interest eon 
 
 Year 
 
 price of 
 durable 
 consump- 
 tion 
 goods" 
 
 Population 
 
 of the U. S. 
 
 in 
 thousands c 
 
 value of 
 consumption 
 
 goods 
 (Thousands) 
 
 B X C 
 
 consumption 
 
 goods, 
 
 (Census figures^ 
 
 (Millions) 
 
 Ratio of 
 E to D 
 
 consumption 
 goods 
 
 (Millions) 
 D X F 
 
 investment 
 in consump- 
 tion goods 
 (Millions) 
 .06 G 
 
 1904... 
 
 .986 
 
 82,467 b 
 
 81,310 
 
 $ 8,250 d 
 
 101.5/ 
 
 $ 8,250 
 
 $ 496 
 
 1909 . . . 
 
 1.044 
 
 90,370 
 
 94,350 
 
 
 119. 8» 
 
 11,300 
 
 678 
 
 1910.. . 
 
 1.050 
 
 92,229 
 
 96,840 
 
 
 121.9* 
 
 11,800 
 
 708 
 
 1911. . . 
 
 1.056 
 
 93,811 
 
 99,060 
 
 
 124.8s 
 
 12,360 
 
 742 
 
 1912. . . 
 
 1.029 
 
 95,338 
 
 98,100 
 
 12,758 d 
 
 130.1/ 
 
 12,758 
 
 765 
 
 1913... 
 
 .993 
 
 97,278 
 
 96,600 
 
 
 133 . 8 a 
 
 12,920 
 
 775 
 
 1914... 
 
 .987 
 
 99,194 
 
 97,900 
 
 
 136.2s 
 
 13,330 
 
 800 
 
 1915. . . 
 
 .980 
 
 100,428 
 
 98,420 
 
 
 140. 9s 
 
 13,870 
 
 832 
 
 1916. . . 
 
 1.059 
 
 101,722 
 
 107,720 
 
 
 145. Off 
 
 15,620 
 
 937 
 
 1917. . . 
 
 1 . 143 
 
 103,059 
 
 117,800 
 
 
 147. 6ff 
 
 17,390 
 
 1,043 
 
 1918... 
 
 1 362 
 
 104,182 
 
 141,900 
 
 
 149. 3ff 
 
 21,190 
 
 1,271 
 
 1919. . . 
 
 1.642 
 
 104,847 
 
 172,160 
 
 
 156.0 ff 
 
 26,860 
 
 1,612 
 
 a Weighted as follows: Furniture 4, Clothing 3, Automobiles 3. 
 
 b Statistical Abstract of the United States, 1918, p. 776. 
 
 c Estimated for the intercensal years by means of a special study; see Table 2A. 
 
 d Census of Wealth, Debt, and Taxation, 1913, Vol. I, p. 17. 
 
 e Rate arbitrarily assumed to be 6 per cent throughout, since the real object sought 
 is to measure rents, not interest, and the relationship between rents, interest, and values 
 is not known for the various years. /Computed by division. 
 
 o Interpolated along a smooth curve. 
 
 this estimated average profit has been multiplied by the number of cows 
 kept. 
 
 § 191. Profits from Raising Poultry and Gardens 
 
 The estimated profit on poultry and gardens is only a refined guess. 
 The starting point is an estimate for 1909 of $70,300,000 which is based on 
 the idea that the average family garden and poultry supply gives a net 
 gain of .$25.00 per year and that the fractions of families having such 
 income were as follows for cities of the sizes stated: — 
 
 Population of city or village 
 
 Fraction of families 
 
 Under 10,000 
 10,000 to 50,000 
 50,000 to 100,000 
 100,000 to 250,000 
 250,000 and over 
 
 0.50 
 .33 
 .25 
 .12 
 
 .06 
 
 All index has been computed, based on the product of the population of 
 
 ,
 
 UNCLASSIFIED INDUSTRIES AND MISCELLANEOUS INCOME 231 
 
 cities and villages of less than 250,000 inhabitants and the average price of 
 foods and farm products. The estimated value has then been varied from 
 year to year in proportion to the movements of this index. The resulting 
 amounts are entered in Table 19F. 
 
 TABLE 19F 
 
 A SUMMARY OF THE ESTIMATES OF INCOME FROM MISCELLANEOUS 
 
 SOURCES 
 
 
 Millions of dollars 
 
 Year 
 
 Total 
 
 Rental value 
 
 of owned 
 urban homes a 
 
 Interest oil 
 
 value of other 
 
 consumption 
 
 goods b 
 
 Profits 
 from keep- 
 ing cows 
 in cities 
 and vil- 
 lages 
 
 Protits from 
 gardening 
 and poultry 
 raising 
 
 in cities 
 and villages c 
 
 1909 
 
 1910 
 
 1911 
 
 1912 
 
 1913 
 
 1914 
 
 1915 
 
 1916 
 
 1917 
 
 1918 
 
 1919 
 
 $1,740 
 1,840 
 1,901 
 1,946 
 1,986 
 
 2,048 
 2,112 
 2,277 
 2,468 
 2,876 
 3,308 
 
 $ 933 
 1,001 
 1,025 
 1,039 
 1,069 
 
 1,100 
 1,129 
 1,163 
 1,173 
 1,238 
 1,356 
 
 $ 678 
 70s 
 742 
 76.-) 
 775 
 
 800 
 
 832 
 
 937 
 
 1,043 
 
 1,271 
 
 1,612 
 
 $ 59 
 60 
 61 
 60 
 61 
 
 62 
 62 
 69 
 90 
 11 1 
 L29 
 
 S 70 
 71 
 73 
 82 
 81 
 
 86 
 89 
 
 IDS 
 
 162 
 253 
 211 
 
 a See Table 19D, Column F. 
 b See Table 19E, Column H. 
 c For mode of derivation, see the text. 
 
 § 19m. The Division of the Net Value Product 
 
 A statement of the fraction of all unclassified and miscellaneous income 
 paid out as wages and salaries is not very significant because of the fact 
 that no inconsiderable part of the "miscellaneous income" accrues to 
 persons attached to already recorded industrial fields. For example, 
 persons engaged in manufacturing, transportation, or mining may receive 
 income from the rental value of the homes they occupy or from other con- 
 sumption goods owned or they may obtain profit by raising poultry or 
 gardens in their spare time. For these reasons, it seems best to present 
 two columns for the per cent of the income going to the employees in the 
 form of wages and salaries. The last one has significance only as a balance 
 item. The fact that it is so much lower than the preceding column helps 
 to show why the per cent for all indusl ries runs so much lower than does t he 
 average of the per cents for manufacturing, mining, etc.
 
 232 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 
 Column F represents the industries in this group and is entirely com- 
 parable with similar figures for other industrial fields. According to these 
 figures, employees in unclassified industries receive in the form of salaries 
 and wages about the same fraction of the net value product that prevails 
 on the average in the other industrial fields. The percentage has, however, 
 shown a decline since 1916, a phenomenon which is not characteristic of 
 most of the other lines studied. 
 
 Owing to the heterogeneous nature of the items involved, it seems 
 useless to attempt to carry further the analysis of the data pertaining to 
 unclassified industries and miscellaneous income. 
 
 TABLE 19G 
 
 THE ESTIMATED NET INCOME ARISING FROM UNCLASSIFIED IN- 
 DUSTRIES AND MISCELLANEOUS SOURCES AND THE FRACTION 
 THEREOF PAID OUT AS WAGES AND SALARIES 
 
 A 
 
 B 
 
 C 
 
 D 
 
 E 
 
 F 
 
 G 
 
 Year 
 
 Total 
 
 income for 
 
 these fields 
 
 (Millions) 
 
 Earnings of 
 employees 
 
 in 
 
 unclassified 
 
 industries n 
 
 (Millions) 
 
 Profits and 
 
 contract 
 
 rents in 
 
 unclassified 
 
 industries 6 
 
 (Millions) 
 
 Income 
 from mis- 
 cellaneous 
 
 sources c 
 Millions) 
 
 Per cent of 
 paid to em 
 wages and s 
 
 L T nclassified 
 
 industries 
 
 C 
 
 total income 
 ployees as 
 salaries from 
 
 The total 
 income 
 C^ B 
 
 
 C + D 
 
 1909 . . . 
 
 1910 . . . 
 
 1911 .. . 
 
 1912 . . . 
 
 1913 . . . 
 
 1914 ... 
 
 1915 . . . 
 
 1916 . . . 
 
 1917 ... 
 
 1918 . . . 
 
 S 9,824 
 10.722 
 10,7m, 
 11,796 
 12,332 
 
 11,975 
 12.367 
 14,685 
 16,506 
 15,318 
 
 $4,887 
 5,478 
 5,497 
 6,164 
 6,538 
 
 6,284 
 6,356 
 7,043 
 7,384 
 6,531 
 
 $3,198 
 3.404 
 3,388 
 3,687 
 3,808 
 
 3,644 
 3,899 
 5,364 
 
 6.651 
 5.911 
 
 $1,740 
 1,840 
 
 1,901 
 1,946 
 1,986 
 
 2,048 
 2,112 
 2,277 
 2.468 
 2,876 
 
 60.4 
 61.7 
 61.9 
 62.6 
 63.2 
 
 63.3 
 62.0 
 56.8 
 52.6 
 52 . 5 
 
 49.7 
 
 51 1 
 51.0 
 
 52 3 
 53.0 
 
 52.5 
 51.4 
 
 ISO 
 44.7 
 42.6 
 
 a See Table 19A, Column D. 
 ' See Table 19C, Column E. 
 c See Table 19F, Total. 

 
 CHAPTER 20 
 
 SUMMARY OF PART I 
 
 § 20a. The Average Income per Ammain 
 
 It has long been customary, when comparing different groups of persons, 
 to use the per capita income of each group as a measure of its relative 
 economic welfare. This measure is, on the whole, sufficiently accurate 
 when applied to large groups containing single persons and families of all 
 sizes. It is, however, nearly valueless if the comparison is between classes 
 determined by age, sex, marital condition, or social status. In such classi- 
 fications, the fact that persons differing in sex and age require very differ- 
 ent incomes in order to live in the same degree of comfort becomes of para- 
 mount importance. To give validity to comparisons in such instances it 
 is necessary first to reduce all members of the population to homogeneous 
 units based upon the relative need for commodities. Such units are termed 
 ammains. . An ammain is defined as a gross demand for articles of con- 
 sumption having a total money value equal to that demanded by the average 
 male in that class at the age when his total requirements for expense of main- 
 tenance reach a maximum. The number of ammains in each group of per- 
 sons can be approximated by aid of tables which are available. 1 Having 
 ascertained the number of ammains it is only necessary to divide the total 
 income of the group by this number to ascertain the average income per 
 ammain for the group. There seems to be little doubt that the income per 
 ammain is the best unit yet devised for use in comparing the relat ive eco- 
 nomic status of persons and families in different groups of the population. 
 
 Inasmuch as we do not know the exact income of the nation and since 
 the age and sex composition of the population is recorded only once in ten 
 years, it is impossible to compute the average income per ammain for the 
 entire country with any high degree of accuracy. Since, however, the age 
 and sex distribution of the population of a great nation changes very slowly, 
 it is possible to state the average income per ammain with nearly as high 
 a degree of accuracy as that attainable in the estimate of the total national 
 income. It may often be desirable to compare tin 1 income per ammain of 
 different groups of persons with the average for the entire country. In order 
 to facilitate comparisons of this type Table 20A is presented. It gives an 
 estimate for each year of the number of ammains and the average income 
 per ammain for the entire population of the Continental United States. 
 
 •See the Quarterly Publications of the American Statistical Association, Sept.. 1921, p. s."l, 
 the Journal of Political Economy, July, 1921, or the United States Public Health Reports for 
 Nov. 26, 11)20. 
 
 233
 
 234 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 20A 
 
 THE AVERAGE INCOME PER AMMAIN OF THE POPULATION OF THE 
 
 CONTINENTAL UNITED STATES 
 
 Calendar 
 year 
 
 1909. 
 1910. 
 1911. 
 1912. 
 1913. 
 
 1914. 
 1915. 
 1910 . 
 1917 
 1918. 
 
 Total income in dollars of 
 
 The given 
 
 year 
 (Millions) 
 
 $28,775 
 31,700 
 31,188 
 33,554 
 35,580 
 
 33,930 
 30,109 
 45,418 
 53,860 
 00,300 
 
 1913 value 
 (Millions) 
 
 $30,101 
 32,477 
 31,080 
 33,730 
 35,580 
 
 33,596 
 
 35,335 
 41,205 
 41,910 
 39,112 
 
 Number of 
 
 ammains in 
 
 the entire 
 
 population 
 
 (Thousands) 
 
 02,340 
 03,027 
 04,720 
 05,703 
 07,104 
 
 08,430 
 09,290 
 70,175 
 71,100 
 71,875 
 
 Income per ammain in 
 dollars of 
 
 The given 
 year 
 
 $402 
 499 
 482 
 510 
 530 
 
 490 
 521 
 
 047 
 757 
 840 
 
 1913 value 
 
 .$483 
 510 
 490 
 513 
 530 
 
 491 
 510 
 
 588 
 589 
 544 
 
 § 20b. Business Savings 
 
 Table 20B summarizes the estimates of business savings presented 
 separately in the reports for certain industries. In general, business sav- 
 ings, as recorded, represent increases during the period in the total net 
 worth of all enterprises in the field. The figures for "Agriculture," how- 
 ever, represent only the changes from year to year in the value of tangible 
 agricultural property. Increases in the total value of farm land due to a 
 rise in the average price per acre are, however, excluded. Changes in the 
 value of the farmers' bank accounts and investments in properties outside 
 the agricultural field are not included because the necessary data are lack- 
 ing. The farmers' personal savings and business savings are indistin- 
 guishable, hence no effort has been made to make any artificial division of 
 the savings into these two categories. For the reasons just cited, agricul- 
 tural savings are not entirely comparable with the business savings of 
 other fields.
 
 SUMMARY OF PART I 235 
 
 § 20c. Miscellaneous Summary Tables Not Appearing in Volume I 
 
 In Table 20H, the amounts saved by reporting non-agricultural business 
 enterprises are recorded in Column F. Now, in many industries, records 
 of savings are not available, but it is nevertheless desirable, if possible, 
 to make a rough estimate of the savings of all business enterprises in the 
 nation. The estimate here presented is based upon the assumption that 
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 of the income available for distribution to entrepreneurs and other prop- 
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 1 Includes "unclassified" industries.
 
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 242 
 
 THE ESTIMATE BY SOURCES OF PRODUCTION 
 
 TABLE 20E 
 
 AN ESTIMATE OF THE TOTAL AMOUNT OF WAGES AND SALARIES" PAID BY THE 
 VARIOUS BRANCHES OF INDUSTRY IN THE CONTINENTAL UNITED STATES 
 
 Industry 
 
 All industries 
 
 Agriculture. . . 
 
 Mining 6 
 
 Factories c . . . 
 Construction 
 Other Hand 
 Trades 
 
 Railways d . . 
 Pullman Co. 
 Express 
 
 Street and 
 Electric 
 Railways. . 
 
 Electric 
 Light and 
 Power. . . . 
 
 Telegraphs. . 
 
 Telephones. . 
 
 Transporta- 
 tion by. . . 
 water 
 
 Banking 
 
 Government e 
 Unclassified 
 industries . . 
 
 Millions of dollars paid in the year 
 
 1909 
 
 14,960 
 
 717 
 
 612 
 
 4,366 
 
 1,192 
 
 295 
 
 1,092 
 
 s 
 36 
 
 171 
 
 40 
 IS 
 
 SI 
 
 173 
 
 115 
 1,157 
 
 4,887 
 
 1910 
 
 10,265 
 
 716 
 
 676 
 
 4.790 
 
 1,146 
 
 327 
 
 1,205 
 
 9 
 
 39 
 
 181 
 
 47 
 19 
 91 
 
 182 
 
 123 
 1,236 
 
 5,478 
 
 1911 
 
 16,498 
 
 756 
 
 698 
 
 4,805 
 
 1,104 
 
 339 
 
 1,261 
 
 9 
 
 42 
 
 191 
 
 50 
 22 
 
 103 
 
 184 
 
 137 
 1,300 
 
 5,497 
 
 1911 
 
 is, 1)92 
 
 761 
 
 752 
 
 5,310 
 
 1,218 
 
 362 
 
 1,350 
 10 
 46 
 
 201 
 
 56 
 
 26 
 112 
 
 197 
 
 149 
 1,378 
 
 6,164 
 
 1913 
 
 19,450 
 
 786 
 
 832 
 
 5,890 
 
 1,276 
 
 391 
 
 1,416 
 14 
 47 
 
 214 
 
 59 
 27 
 
 125 
 
 204 
 
 161 
 
 1,470 
 
 6,538 
 
 1914 
 
 18,216 
 
 767 
 
 718 
 
 5.366 
 
 932 
 
 404 
 
 1,310 
 14 
 44 
 
 224 
 
 62 
 
 26 
 
 128 
 
 202 
 
 164 
 1,571 
 
 6,284 
 
 1915 
 
 19,019 
 
 786 
 
 727 
 
 5,892 
 
 927 
 
 425 
 
 1,322 
 13 
 45 
 
 222 
 
 63 
 
 26 
 
 126 
 
 222 
 
 183 
 
 1,684 
 
 6,356 
 
 1916 
 
 23,175 
 
 848 
 
 894 
 
 8,442 
 
 1,066 
 
 47S 
 
 1,547 
 14 
 52 
 
 242 
 
 71 
 
 31 
 
 145 
 
 274 
 
 214 
 1,814 
 
 7,043 
 
 1917 
 
 27,365 
 
 1.059 
 
 1,112 
 
 10,530 
 
 973 
 
 603 
 
 1,908 
 15 
 64 
 
 267 
 
 86 
 
 40 
 
 170 
 
 334 
 
 230 
 2,530 
 
 7,384 
 
 1918 
 
 32,076 
 
 1.251 
 1.354 
 
 12,410 
 964 
 
 780 
 
 2.741 
 20 
 82 
 
 314 
 
 97 
 
 49 
 
 190 
 
 421 
 
 281 
 4,591 
 
 6.531 
 
 a Includes subsistence furnished to employees, but excludes pensions, compensation for injuries, com- 
 missions, tips, and payments for work done under contract. 
 b Includes quarries and oil wells. 
 
 c The field covered by the principal tables in the Census of Manufactures. 
 d Includes switching and terminal companies. 
 e Includes all branches of government — national, state and local. 
 
 ,
 
 SUMMARY OF PART I 
 
 243 
 
 TABLE 20F 
 
 AN ESTIMATE OF THE TOTAL DISBURSEMENTS TO PAST <>R PRESENT EMPLOYEES 
 IN THE FORM OF WAGES, a SALARIES,*" PENSIONS, COMPENSATION FOR INJURIES, 
 
 AND PAYMENTS FOR WORK DONE UNDER CONTRACT 
 
 Industry 
 
 
 
 
 Millions 
 
 of dollar? 
 
 paid in the year 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 1909 
 
 1910 
 
 1911 
 
 ir,, so:, 
 
 1912 
 
 1913 
 
 1914 
 
 1915 
 
 1916 
 
 1917 
 27,795 
 
 1918 
 
 All industries 
 
 15,255 
 
 16,570 
 
 18,417 
 
 19,801 
 
 18,552 
 
 19,355 
 
 23,558 
 
 32,575 
 
 Agriculture. . . 
 
 717 
 
 7 ir, 
 
 756 
 
 761 
 
 786 
 
 707 
 
 786 
 
 Ms 
 
 1,059 
 
 1,251 
 
 Mining b 
 
 643 
 
 711 
 
 733 
 
 790 
 
 874 
 
 755 
 
 704 
 
 939 
 
 L.169 
 
 1.422 
 
 Factories c. . . . 
 
 4,410 
 
 l.s;is 
 
 1,852 
 
 5,361 
 
 5,946 
 
 5,410 
 
 5,945 
 
 8,517 
 
 10,621 
 
 12,515 
 
 Construction 
 
 1,192 
 
 1,146 
 
 1.101 
 
 1,218 
 
 1,270 
 
 932 
 
 927 
 
 1,066 
 
 973 
 
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 Other Hand 
 
 
 
 
 
 
 
 
 
 
 
 Trades 
 
 306 
 
 339 
 
 351 
 
 375 
 
 404 
 
 418 
 
 439 
 
 496 
 
 628 
 
 SI 1 
 
 Railways d. . . 
 
 1,105 
 
 1,219 
 
 1,277 
 
 1,307 
 
 1,434 
 
 1,328 
 
 1,339 
 
 1,500 
 
 L.990 
 
 2.703 
 
 Pullman Co. . 
 
 10 
 
 11 
 
 12 
 
 13 
 
 17 
 
 17 
 
 16 
 
 17 
 
 19 
 
 21 
 
 Express 
 
 43 
 
 47 
 
 51 
 
 54 
 
 55 
 
 52 
 
 52 
 
 (il 
 
 71 
 
 93 
 
 Street and 
 
 
 
 
 
 
 
 
 
 
 
 Electric 
 
 
 
 
 
 
 
 
 
 
 
 Railways. . . 
 
 171 
 
 181 
 
 191 
 
 201 
 
 21 1 
 
 224 
 
 222 
 
 212 
 
 267 
 
 314 
 
 Electric 
 
 
 
 
 
 
 
 
 
 
 
 Light and 
 
 
 
 
 
 
 
 
 
 
 
 Power 
 
 40 
 
 47 
 
 50 
 
 56 
 
 59 
 
 62 
 
 63 
 
 71 
 
 86 
 
 97 
 
 Telegraphs. . . 
 
 18 
 
 19 
 
 22 
 
 26 
 
 27 
 
 26 
 
 26 
 
 32 
 
 to 
 
 49 
 
 Telephones. . . 
 
 81 
 
 92 
 
 103 
 
 113 
 
 126 
 
 129 
 
 12S 
 
 154 
 
 173 
 
 194 
 
 Transporta- 
 
 
 
 
 
 
 
 
 
 
 
 tion hv 
 
 
 
 
 
 
 
 
 
 
 
 Water 
 
 173 
 
 1S2 
 
 184 
 
 197 
 
 204 
 
 202 
 
 222 
 
 271 
 
 334 
 
 421 
 
 Banking 
 
 115 
 
 123 
 
 137 
 
 149 
 
 101 
 
 164 
 
 1 83 
 
 214 
 
 230 
 
 281 
 
 Government e 
 
 1,343 
 
 1,421 
 
 1,486 
 
 1,574 
 
 1,678 
 
 1,777 
 
 1,886 
 
 2,017 
 
 2.710 
 
 1,842 
 
 Unclassified 
 
 
 
 
 
 
 
 
 
 
 
 industries. . 
 
 1,887 
 
 5,478 
 
 5,497 
 
 6,104 
 
 6.53S 
 
 6,284 
 
 6,356 
 
 7,043 
 
 7,384 
 
 6,531 
 
 a Includes subsistence furnished to employees. 
 
 b Includes quarries and oil wells. 
 
 c The field covered by the principal tables in the Cmsus of Manufactures. 
 
 d Includes switching and terminal companies. 
 
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 PART II 
 
 THE ESTIMATE BY INCOMES RECEIVED 
 
 By 
 OSWALD W. KNAUTH 
 
 ASSISTED BY 
 
 ELIZABETH W. PUTNAM 
 MRS. EUSTACE SELIGMAN"
 
 ^
 
 CHAPTER 21 
 
 INTRODUCTION 
 
 § 21a. The Problem 
 
 The estimate of the National Income on the basis of incomes received 
 attempts to find and summate the money values of the incomes of all per- 
 sons who are reported by the Census as "gainfully employed." The the- 
 ory underlying this estimate is that all of the National Income in every 
 year must be received by some person. An addition must, however, 
 be made for the surplus incomes of corporations which are carried 
 forward after the current distributions to stockholders have been made. 
 Owing to the form in which our data are available, it has not been pos- 
 sible to distribute these amounts among individuals, and it is therefore 
 necessary to add them in a lump sum to the individual incomes in order 
 to arrive at the total National Income. If the data were perfect and 
 the methods impeccable in both cases the results of this estimate would 
 agree with the results of the Estimate by Sources of Production presented 
 in Part I. 
 
 Needless to say, neither the data nor the methods are perfect in either 
 case. The theory on which the two estimates are based is discussed in 
 Section iv of Chapter II, Volume I, but it may save misunderstanding to 
 note again the omission of certain items that contribute to the economic 
 welfare of the community, and the intention to omit one item that counts 
 as money income to individuals. It is not feasible to include items of 
 income on which a money value is not commonly placed. For example, 
 no allowance is made for the services rendered the community by such 
 public works as roads and bridges, beyond the income received by those 
 who work upon them. Nor is any attempt made here to set a money value 
 upon the services rendered by housewives to their families. On the other 
 hand, we do include two items which do not enter into exchange, but which 
 may apparently be measured with reasonable accuracy. These are the 
 rental values of homes owned by the persons who occupy them, and the 
 produce of the farms directly consumed by farmers. In addition, we in- 
 clude some spurious income nrisino- from accretions to the money value of 
 property unchanged in quality and quantity. Such items as the rise in 
 the prices of building lots do not increase the volume of serviceable goods 
 at the disposal of the Nation and therefore such items should not be in- 
 
 24!)
 
 250 THE ESTIMATE BY INCOMES RECEIVED 
 
 eluded in ;i statement of the National Income. But the individuals who 
 own these lots may get personal income from the rise in land values, and 
 income resulting from sales of property at enhanced prices, is supposed to 
 be included in the income-tax returns on which this estimate is largely 
 based. During the period covered by the present investigation, however, 
 it seems probable that the error arising from this source is not serious, for 
 the high rates of taxation imposed at the time when prices were rising to 
 their maximum discouraged the sale of property that had appreciated in 
 value, and encouraged " loss-taking " sales of property that had fallen in 
 value. 
 
 § 21b. The Method and Data 
 
 The method adopted in making the Estimate by Incomes Received was 
 determined largely by the character of the data that were available. The 
 largest and most accurate body of material is found in the income-tax 
 returns. Here are definite figures regarding the number and aggregate 
 amount of personal incomes above the exemption limits set by law — 
 $3,000 from 1913 (when the present income tax was first levied) to 1916, 
 and $2,000 from 1917 onwards. These returns have well-known defects, 
 but defects which can be corrected in some measure. A second great body 
 of material is the mass of wages data collected by federal, state and city 
 governments. Such data make it possible to estimate the aggregate 
 incomes of the millions of those wage-earners and others gainfully em- 
 ployed who make no income-tax returns. 
 
 The income-tax data have to be supplemented by estimates for income 
 exempt by law from taxation — especially certain state salaries, interest 
 on tax-free securities, and the rental value of houses occupied by their 
 owners. More important and more speculative are the corrections that 
 must be made for failure to report incomes subject to tax and for 
 understatement of reported incomes. Similarly in the chapter deal- 
 ing with incomes less than $2,000 per year, we cannot accept wages 
 earned as equivalent to income received. Here the chief supplements 
 include the rental value of owned homes, income from property and 
 pensions. 
 
 The character of these materials, it will be noted, makes it necessary to 
 divide the Estimate by Incomes Received into two sections, persons re- 
 ceiving more and persons receiving less than $2,000 per year. This division 
 at the $2,000 line is probably as satisfactory as any other arbitrary division 
 that could be selected. A little below this line we approach the minimum 
 budget on which a family can maintain efficiency, while a little above 
 $2,000 we enter the range of modest comfort. For an individual without 
 dependents we have on the lower side sufficiency, on the upper side, ease.
 
 INTRODUCTION 251 
 
 Of course, any arbitrary line of division maintained through a period of 
 such wild fluctuations in the cost of living as occurred during the war is 
 open to the objection that the economic welfare represented by it was con- 
 
 stantly changing. This defect we remedy so far as possible by computing 
 the average per capita income of income-receivers, and by showing the 
 fluctuations in the purchasing power of their current receipts. 
 
 A third large body of data and, therefore, a third section of this estimate 
 concerns the incomes of farmers. Relatively few farmers make income-tax 
 returns, so that we can learn little about their affairs from the Internal 
 Revenue Bureau's publications. Chief reliance must be placed upon the 
 annual estimates of the "gross value of wealth produced on farms" made 
 by the Department of Agriculture. But these estimates confessedly 
 include a vast amount of duplication which must be corrected as well as 
 may be by resort to various special studies of farm economics. Farmers 
 are less accustomed to keep books than perhaps any other large class of 
 business men; and to keep their books correctly is peculiarly difficult 
 because the value of the food and fuel they produce for their own consump- 
 tion must be estimated, as well as the rental value of their owned homes. 
 What is difficult for the individual farmer to do accurately is impossible 
 for the outside investigator to do accurately for six and a half millions 
 of farmers. Hence the estimate of farmers' incomes and especially 
 the number of farmers having incomes above the $ 2,000 line and con- 
 sequently also of those below this line is subject to a considerable; margin 
 of error. 
 
 The last section of the estimate is concerned with a type of income about 
 which there is much discussion — corporate surpluses. There are those who 
 deny that these surpluses are to be regarded as in any true sense part of 
 the National Income. For this reason, we keep this item separate and 
 give totals both for all individual incomes and for individual incomes plus 
 corporate surpluses. Our investigation of corporate finance inclines us to 
 believe that some 80-90 per cent of corporate surpluses are genuine income, 
 invested in the extension of plant and equipment in the same way as is 
 fresh capital raised by stock or bond issues. 
 
 Since the amount of income reported to the Bureau of Internal Revenue 
 as due to sales of property is a negligible item, we conclude that these 
 surpluses have not been shown in individual incomes during the prosper- 
 ous years covered by this report. In years of depression, the surplus 
 accounts of corporations suffer a great decline, and may turn into de- 
 ficits. If we did not include this item in our estimates, we should make 
 the National Income more stable than it actually is. 
 
 After the manuscript of Volume 1 was sent to press, certain additional 
 data have become available which have enabled us to make minor revis-
 
 252 THE ESTIMATE BY INCOMES RECEIVED 
 
 ions in the Estimate by Incomes Received. It is our hope to make further 
 revisions of this sort in our published reports whenever materials and op- 
 portunity permit. Even the present revised results for 1910-1919 are not 
 final, but merely the best approximations which we can make from the 
 data now at hand. 
 
 S
 
 CHAPTER 22 
 
 TOTAL AMOUNT OF INCOME RECEIVED BY PERSONS HAVING 
 
 OVER $2,000 PER YEAR 
 
 § 22a. Introduction 
 
 The estimate of the total income of persons receiving over $2,000 per 
 year is based on income-tax returns, on data regarding tax-exempt income, 
 and on incomes of farmers having over 82,000 per year. These three pa rl s 
 of the estimate are discussed in detail in the following sections. Table 
 22A presents the final results. 
 
 TABLE 22A 
 
 ESTIMATED TOTAL NUMBER OF PERSON'S AND TOTAL AMOUNT OF 
 INCOME FROM ALL SOURCES RECEIVED BY ALL PERSONS HAVING 
 INCOMES OVER $2,000 
 
 1910 to 1920 
 
 
 Income in millions of dot 
 
 ais 
 
 Number of persons 
 
 Year 
 
 I 
 Income 
 
 tax 
 data a 
 (exclud- 
 ing 
 farmers) 
 
 II 
 
 Tax- 
 exempt 
 
 income '< 
 
 III 
 
 Farmers' 
 incomes r 
 
 over 
 $2,000 
 
 IV 
 
 Total 
 
 V 
 
 Number 
 
 of persons 
 (excluding 
 farmei 
 
 V] 
 
 Number 
 
 of farm 
 
 VII 
 
 Total 
 
 number of 
 
 pers ms 
 
 1910.. . 
 1911.. . 
 1912.. . 
 
 S 8,800 d 
 8,600 <* 
 
 8,800^ 
 
 8 792 
 806 
 818 
 
 § 258 
 1 82 
 262 
 
 $ 9,850 
 9,588 
 9,880 
 
 1,300,000 
 L,300,000 
 1,300,000 
 
 111,000 
 
 70. 000 
 
 111,000 
 
 1,411,000 
 1,370,000 
 1,111.000 
 
 1913. . . 
 1914.. . 
 1915.. . 
 
 9,000 
 8,700 
 
 10,000 
 
 830 
 843 
 858 
 
 340 
 340 
 516 
 
 10,17(1 
 
 9,883 
 
 11,374 
 
 1,300,01 )() 
 L,300,000 
 1,800,000 
 
 I 13,000 
 
 1 11,000 
 
 208,000 
 
 1,443,000 
 1,111.000 
 2,008,000 
 
 1916.. . 
 1917.. . 
 101S.. . 
 
 13,500 
 
 1(1,000 
 16,200 
 
 973 
 1,008 
 
 1,279 
 
 1,179 
 3,886 
 
 5,784 
 
 15,652 
 20,894 
 23,263 
 
 2.300,000 
 2,900,000 
 
 3,100,000 
 
 HS. 01 10 
 
 1,313,000 
 1,861,000 
 
 2,748,000 
 1,213,000 
 1,961,1 
 
 1919.. . 
 1920. . . 
 
 17,500 
 
 1,550 
 1,573 
 
 6,298 
 2,261 
 
 25,348 
 
 3,600,000 
 
 2,008,000 
 so 1,000 
 
 5,608 ,00 1 
 
 a See § 22b. c gee Table 24K. 
 
 b See § 22c. ''Estimated. 
 
 § 22b. Estimate from Income Tax Data 
 
 Two questions must be answered before the income-tax data as reported 
 by the Bureau of Internal Revenue can be utilized. How much are re- 
 
 253
 
 
 254 THE ESTIMATE BY INCOMES RECEIVED 
 
 ported incomes understated and what is the amount of incomes that should 
 be, but are not reported? For brevity we shall call these two defects of 
 the data "understatement" and "failure to report." Failure to report is 
 frequent in the lower income ranges where the exemptions allowed by law 
 would nearly or entirely cover income received; understatement is preva- 
 lent in the higher income ranges where most elaborate methods are often 
 resorted to in order to avoid payment of the tax. 
 
 Changes in the law itself and in the methods of collecting the tax make 
 comparison between different years difficult. In the years 1913 to 1916, 
 incomes above $3,000 are reported and thereafter above $2,000. * Fur- 
 ther, the deduction of losses incurred in transactions outside of the particu- 
 lar business in which the tax payer was engaged was not permitted in the 
 early years, but in 1917 this ruling was changed so as to permit the writing 
 off of all losses. 
 
 It should be noted that profits made from sales of investments or prop- 
 erty are included as income under the income-tax law. In Volume I it is 
 held that such profits are a part of individual, but not of National Income. 2 
 It may be thought that gains of this sort were enormously increased after 
 1916 by the rise of prices. If all property had actually been sold at current 
 quotations the tax returns would include a vast volume of clearly fictitious 
 income. The fact is, however, that the increased income taxes were an 
 effective deterrent from making realizing sales, so that only a negligible 
 portion of this fictitious income was included in the tax returns. And this 
 portion is probably more than offset by the volume of "loss-taking" sales 
 of property which had declined in price — sales made purposely to reduce 
 the amount of taxable income. 
 
 Another factor which must be considered in estimating both the amount 
 of understatement and failure to report is the administration of the income- 
 tax law. This has naturally improved with experience so that the returns 
 are far more accurate for the later than for the earlier years. In particular, 
 an attempt has been made since 1918 to reduce the amount of evasion by 
 "intensive drives" in the $2,000 to $5,000 range. 
 
 On the other hand, since the armistice technical means to reduce the 
 income reported have been resorted to on a far larger scale than during the 
 war. In particular, the practice of turning over a portion of income- 
 bearing securities to members of the family in order to avoid or lessen 
 taxation is more frequent. This practice may result only in dividing the 
 same amount of income into smaller units; but it may also lessen total 
 income because gifts are counted at their market value at the date of the 
 gift and therefore do not include appreciation of value since their original 
 
 i No use is made of the data for incomes between $1,000 and $2,000, as they apply only 
 to single persons, and arc therefore only a part of all the incomes in these ranges. 
 -' Sec Volume I, page 45.
 
 TOTAL INCOME PERSONS HAVING OVER $2,000 PER YEAR 255 
 
 purchase by the donor. This device makes it possible to sell securities 
 without reporting appreciated value. This fact is not of much conse- 
 quence, however, for the appreciation in the value of securities may in 
 part represent the accumulation of corporate surplus which we include 
 under a separate head, and in part an increase in the price of unchanged 
 property, which we do not wish to include. In addition, the practice of 
 forming investment corporations for the purpose of avoiding or lessening 
 taxation has increased. By this means, surpluses above the current 
 needs of the stockholders are retained by the corporation and hence are 
 not reported as personal income. There is no way of ascertaining with 
 exactness the extent of this practice. 1 
 
 With these general considerations in mind, the data may now be pre- 
 sented. Careful study, year by year, of the figures appearing in the follow- 
 ing tables and in the charts in Volume I should enable us to make an esti- 
 mate allowing for evasion and understatement due to the differences in the 
 methods of collecting the tax in different years, and to changes in the law 
 itself. Concerning the failure to make returns and the inaccuracy of 
 many of the returns made, we have little information bej'ond a surmise 
 that the omissions are considerable. It is hoped that there will shortly be 
 available the results of audits which will furnish a better basis for an 
 estimate. 
 
 The following table shows the total number of persons and amount of 
 income reported by the Bureau of Internal Revenue. Figures are also 
 given for the probable amount of income and number of persons having 
 incomes over $2,000 in 1913 to 1916. This estimate 1 was made after com- 
 parison between the average number of persons and amount of income in 
 the S2,000 to $3,000 class in 1917, 1918, and 1919 with those having 
 S3, 000 and over. It was found that about 30 per cent of the total income, 
 and about 50 per cent of income-tax payers fell within this class. Thes 
 percentages were accordingly usad in estimating the amount of income 
 and number of persons having over 82,000 in the earlier years, 1913 to 
 1916, as shown in columns II and IV of Table 22B. Doubtless, some 
 degree of error is involved in this estimate because of the rise in prices 
 and the steeper slope of the curve in the later years than in the earlier; 
 but after considerable study no better method has been found. 
 
 In order to study the probable amount of failure to report and under- 
 
 1 Probably, 90 per cent of tho corporations in tin- United States represent merely individuals 
 or a small group <>f individuals doing business through the medium of a corporation. In 
 these cases, there is a strong tendency to withhold dividends. Additions to corporate sur- 
 plus in such companies are certainly as much income as corresponding items of partnerships 
 or sole traders. 
 
 It is to be noted that the war additions to corporate surplus (after taxes) have been wiped 
 out in large measure by (1) the 1920 to l'.i-'l depression and (2) by investments in planl 
 facilities that are unrealizable through either operation or sale. — J. E. Sterrett.
 
 256 
 
 THE ESTIMATE BY INCOMES RECEIVED 
 
 TABLE 22B 
 
 THE OFFICIAL INCOME TAX RETURNS ON THE BASIS OF A UNIFORM 
 
 EXEMPTION LIMIT OF $2,000 
 
 (No correction for failure to report, understatement, or tax-exempt income) 
 
 1913 to 1920 
 
 a Annual Report of the Secretary of the Treasury, June 30, 1914, p. 628. Bureau of 
 Internal Revenue, Statis„ics of Income, 1916, pp. 14, 23; 1917, pp. 28, 29; 1918, pp. 36, 
 37; Preliminary report for 1919, p. 8. 
 
 b On the basis of 1917, 1918, and 1919, see text. 
 
 ' For incomes over 83,000. 
 
 d Actual number or amount reported for incomes over $2,000. 
 
 < Preliminary figure including incomes over $1,000. 
 
 statement of income for each year, the income-tax data were plotted on a 
 logarithmic scale. These charts are reproduced on pages 120 and 121 of 
 Volume I. A chart on a logarithmic scale emphasizes small arithmetic 
 increments or decrements in the lower numbers and minimizes them in 
 the larger numbers. A slight change, therefore, in the shape of the curve 
 at the left hand (lower income) end is of great importance, since it in- 
 volves a large number of incomes. The advantage of charting the data 
 in this form for analysis is illustrated in Part III of this volume. 
 
 It should be noted that the curves for each year show a general similar- 
 ity in the direction and angle of slope. Reading toward the left from the 
 right hand side of the chart, the curves for 1913 to 1916 fall off at the 
 $5,000 point, whereas the curve for 1917 is almost a straight line. In 1918 
 and 1919 the curves turn sharply upward at this point. These observa- 
 tions indicate (1) that the comparative number of incomes reported in the 
 $2,000 to $5,000 ranges in the earlier years was less than in the later years; * 
 
 1 In order to discover tax delinquents in 1918, all employers were required to report the 
 
 <*
 
 TOTAL INCOME PERSONS HAVING OVER $2,000 PER YEAR 257 
 
 and suggest (2) that the reporting of incomes in the $5,000 to, say, 
 $50,000 ranges was less complete than in the higher ranges. 
 
 To show more fully tin 1 situation in the lower income ranges in the years 
 1917 to 1919, the following table has been made. 
 
 TABLE 22C 
 
 COMPARISON OF REPORTED XET INCOME, INCOME FROM SALARIES, 
 AND INCOME FROM BUSINESS OF PERSONS RECEIVING $2,000 TO 
 $5,000 PER YEAR 
 
 1917 to 1919 
 
 Year 
 
 Number of 
 
 Persons 
 
 Net income 
 
 Income from 
 salaries 
 
 (Thousands 
 of dollars) 
 
 Income from 
 
 business 
 
 1917a 
 
 1918 b 
 
 1919 c 
 
 1,399,470 
 2,429,214 
 2,750,229 
 
 $4,180,842 
 7,162,044 
 8,320,550 
 
 $1,853,648 
 4,389,992 
 5,445,578 
 
 $1,802,641 
 1,733,831 
 1,860,148 
 
 a Statistics of Income, 1917, pp. 40, 41. 
 
 6 Statistics of Income, 1918, p. 44. 
 
 c Statistics of Income, 1919, Preliminary Report, pp. 8, 11. 
 
 Income returns of less than $5,000 were checked in the field from 1918 
 on, 1 while those of over $5,000 were sent to Washington and checked by 
 the central force. This system resulted in the greatest care being given to 
 the smaller incomes and to the large ones of say $50,000 or more. The 
 Washington force has in the past been inadequate to audit all the returns, 
 and in addition has been so far in arrears that its findings have been made 
 too late to affect the statistical data, which are of necessity computed from 
 the returns as they are originally reported. The dip in the curve between 
 $5,000 and $50,000 in these years may thus reflect understatement of 
 incomes and be due largely to the technique of the Bureau of Internal 
 Revenue. The figures for incomes above $50,000 are believed by com- 
 petent authorities to be technically almost accurate, containing only such 
 understatements as can be made within the letter of the law. The 
 amount of such understatement is included in the estimate in § 22c on 
 Tax-exempt Income. 
 
 Further light is apparently thrown on the general problem of under- 
 statement by a comparison of the average amounts of income reported in 
 each year. 
 
 amounts over $1,000 paid to any individual in wages. The result of this drive was that the 
 amount of income reported between $2,000 and $5,000 as received from wages or salaries was 
 greatly increased. No such simple method has been devised for detecting delinquents among 
 men doing business in a small way on their own account, however, and in L918 the number 
 of such persons riling income-tax returns actually declined. We cannot, therefore, believe 
 that failure to report has yet been reduced within narrow limits. 
 1 Returns for the year 1917.
 
 258 
 
 THE ESTIMATE BY INCOMES RECEIVED 
 
 TABLE 22D 
 
 AVERAGE INCOME OF PERSONS RECEIVING OVER $3,000 
 
 1913 to 1919 
 
 Year 
 
 Number of 
 
 persons 
 (Thousands) 
 
 357 a 
 357 b 
 336 b 
 
 437 b 
 993 c 
 
 1,411 d 
 
 1,838 e 
 
 Total income 
 
 (Millions of 
 
 dollars) 
 
 $ 3,900 b 
 4,000 b 
 4,600 b 
 
 6,298 b 
 
 9,126 c 
 
 10,065 d 
 
 13,223 * 
 
 Average income 
 
 1913. 
 
 $10,906 
 11,188 
 13,664 
 
 14,415 
 9,187 
 
 1914 
 
 1915 
 
 1916 
 
 1917 
 
 1918 
 
 7,132 
 
 1919 
 
 7,194 
 
 
 
 a Annual Report of the Secretary of the Treasury, June 30, 1914, p. 628. 
 
 b Statistics of Income, 1916, p. 14. 
 
 c Statistics of Income, 1917, p. 28. 
 
 d Statistics of Income, 1918, p. 36. 
 
 e Statistics of Income, 1919, Preliminary Report, p. 8. 
 
 According to this table the average income over $3,000 increased rapidly 
 from 1913 to 1916, dropped violently in 1917, and declined still further in 
 1918. These changes are the net resultant of several factors. (1) Incomes 
 already large doubtless grew rapidly larger with the recovery from the 
 depression of 1913-14, and the sudden uprush of prices after the middle 
 of 1915. (2) On the other hand, these large incomes were probably re- 
 duced in 1917-19 by the encroachments made upon profits by increasing- 
 costs of doing business. (3) The war-time rise of wages, salaries, profes- 
 sional fees and of the gains of small business men carried many incomes 
 for the first time in the lives of their recipients above the $3,000 line, and 
 of course this rapid increase in the number of incomes in the $3,000-$5,000 
 intervals tended powerfully to reduce the average of all incomes above 
 $3,000. (4) After the effect of these three factors has been allowed for 
 the figures still suggest that a considerable role was played by fuller re- 
 porting of small incomes. The reduction of the exemption limit from 
 $3,000 to $2,000 in 1917, the patriotic spirit that made people more willing 
 to pay taxes during the war and the "intensive drive" of 1918 all contrib- 
 uted to this result. 
 
 In so complex a situation it is impossible to attribute its due effect to 
 each of the intermingled factors. Yet a rough series of corrections can 
 be made to give approximations much closer to the whole truth than the 
 official figures give. The method adopted is first to correct the official 
 returns for 1918, and then to use these new estimates as a basis for cor- 
 recting the figures for earlier years. 
 
 <*
 
 TOTAL INCOME PERSONS HAVING OVER $2,000 PER YEAR 259 
 
 The probable amount of understatement and failure to report income 
 in 1918 was estimated as follows: 
 
 1. The failure to report incomes from business in the $2,000 to $5,000 
 range was considerable. The doubling of incomes from salaries owing to 
 the "drive" in 19 IS indicates that an equally successful effort to find 
 small business incomes would have had large results. For our purposes, 
 the best guess is to double the amount reported under this head — a cor- 
 rection which adds $1,298 million to the total. 
 
 2. The understatement of income from salaries in 1918 was probably 
 very much less. This item had been increased very largely over 1917, 
 and the manner in which the work was conducted indicates that nearly 
 all salaries were found. However, since this item showed a still further 
 increase of over a billion dollars in 1919, it is probable that there was still 
 some understatement in 1918. This amounted to perhaps one-tenth of 
 the reported total, or $370 billion. 
 
 3. The understatement of the incomes between $5,000 and $50,000 is 
 very difficult to estimate. In these ranges, there were reported in 1917, 
 415,000 incomes, totalling 84,560 million; in 1918, 465,000 incomes, total- 
 ling $4,860 million; and in 1919, 640,000 incomes, totalling $6,645 million. 
 It is known that this class escaped attention in 1918 to a greater degree 
 than either the larger or smaller incomes, and this point is graphically 
 illustrated by the "dip" shown in the preceding charts. It is noteworthy 
 that in 1919 the "dip" was to some extent reduced. An elimination of 
 the "dip" and a reading of the points on the redrawn curve for 1918 
 indicates a possible increase of from $1 to $3 billion; the points are so fine 
 at this stage of a logarithmetic chart that the slightest variation causes an 
 enormous difference in the readings. A flat increase of $2 billion for the 
 understatement in these ranges in 1918, then, appears to be as close a 
 correction as can be made. 
 
 A summary of these corrections in tabular form follows: — 
 
 TABLE 22E 
 ESTIMATED AMOUNT OF INCOME SUBJECT TO TAXATION' IX 1918 
 
 (Excluding farmers) 
 (Millions of dollars) 
 
 Income reported ovor $2,000 S13,ti'.»J ' 
 
 Less Farmers' Income 1,123 6 
 
 $12,569 
 
 Add Estimated Business delinquencies ($2,000 $5,000) 1,298 e 
 
 Estimated Salary delinquencies ($2,000-$5,000) 370 
 
 Estimated General delinquencies ($5,000-$50,0()0) 2,000 c 
 
 Total Estimated Income $16,237 
 
 a Statistics of Income, 191S, pp. 36, 37. b Statistics of Income, 1918, p. 11. 
 
 c See text.
 
 200 
 
 THE ESTIMATE BY INCOMES RECEIVED 
 
 When the curve for 1918 is redrawn on the basis of $10.2 billion instead 
 of $13.7 billion total income, it shows only a small "dip" in place of the 
 very pronounced one shown in Chart 22B. If a similar computation is 
 made for earlier years, based on the results for 1918, and if the general 
 information contained in the preceding charts and tables is utilized, then 
 the approximation to the income over $2,000 for each of these years is as 
 follows: — 
 
 TABLE 22F 
 
 ESTIMATED TOTAL NUMBER OF PERSONS AND AMOUNT OF TAXABLE 
 INCOME OF PERSONS RECEIVING INCOMES OVER $2,000 PER YEAR 
 
 (Excluding farmers) 
 1913 to 1920 
 
 
 Number of 
 persons 
 
 (Millions) 
 
 Total income 
 (Billions) 
 
 Minimum and 
 
 maximum estimates 
 
 (Billions) 
 
 1913 
 
 1914 
 
 1915 
 
 1916 
 
 1.3 
 
 1.3 
 1.8 
 2.3 
 
 2.9 
 3.1 
 3.6 
 
 $ 9.0 
 
 S.7 
 
 10 . 
 
 13.5 
 
 16.0 
 
 16.2 
 17.5 
 
 $ 7-10 
 
 7-10 
 
 8-12 
 
 12-15 
 
 1917 
 
 1918 
 
 L919 
 
 15-19 
 15-19 
 17-20 
 
 1920 
 
 
 Needless to say, any method of estimating money income that ought to 
 be, but is not, reported to the taxing authorities yields merely rough ap- 
 proximations. It cannot be pointed out too often that the exactness of the 
 figures used is purely technical. However, they are the result of an ex- 
 haustive scrutiny and analysis of the existing data, and a careful study of 
 the best means of interpreting them. No final solution of the income dis- 
 tribution problem can be reached until we have an accurate census of the 
 incomes of all the people in the country, or at least of a large and well 
 selected sample. 
 
 § 22c. Tax-exempt Income 
 
 In addition to the kind of incomes which are or should be reported by 
 persons under the income-tax law, there are some forms of income which 
 are not reported because they are exempt from taxation. Certain items of 
 this tax-exempt income can be said with some assurance to accrue almost 
 entirely to those having incomes over $2,000, for example, income from 
 si ate or local bonds and Federal Farm Loan Bonds. Other types of income, 
 such as the interest on Liberty Bonds, state and local salaries, and income 
 
 ,
 
 TOTAL INCOME PERSONS HAVING OVEE 12,000 PER YEAR 261 
 
 from homes owned by their occupants, are known to be divided between 
 those having incomes over and tinder $2,000. Where no statistical infor- 
 mation was obtainable, we have apportioned such incomes in the manner 
 which seemed, all things considered, most probable. 
 
 The following table is presented to show the amount of income which 
 accrues to the persons falling under the income-tax law and for which they 
 are not required to make any return. 
 
 TABLE 22G 
 
 ESTIMATED TAX-EXEMPT INCOME a 
 
 1910 to 1920 
 
 (Tax-exempt Agricultural Income Omitted) 
 
 (Millions of dollars) 
 
 Year 
 
 I 
 
 Interest 
 
 on local 
 
 debt 
 
 II 
 
 [uteres! 
 on 
 
 Libei t y 
 Bonds 
 
 111 
 Interest 
 
 on 
 
 Federal 
 
 Farm 
 
 Loan 
 
 Bonds 
 
 IV 
 Interest 
 on obli- 
 gations 
 of p IS- 
 sessions 
 of U.S. t> 
 
 V 
 Income 
 
 exempt 
 
 through 
 nature 
 of oc- 
 cupation c 
 
 VI 
 
 Rental 
 
 value of 
 
 homes 
 
 owned 
 
 VII 
 
 Total 
 
 1910 
 
 1911 
 
 1912 
 
 1913 
 
 1914 
 
 1915 
 
 1910 
 
 1917 
 
 1918 
 
 1919 
 
 L920 
 
 $134 
 148 
 160 
 172 
 L85 
 200 
 
 215 
 
 228 
 236 
 259 
 
 282 
 
 $ 
 
 20 
 ISO 
 380 
 380 d 
 
 $ 
 
 1 
 1 
 7 
 
 Id 
 
 $3 
 3 
 3 
 3 
 3 
 3 
 
 3 
 
 4 
 4 
 1 
 1 
 
 $155 
 155 
 155 
 L55 
 155 
 
 1 .V) 
 
 I.-.:, 
 1 55 
 1 55 
 
 2 10 
 203 
 
 $500 
 
 .-,1 1! 1 
 
 500 
 
 51 II i 
 500 
 500 
 
 6 ii 
 
 6 10 
 
 Tin 
 
 7i I 
 
 7 il 
 
 S 792 
 8 16 
 818 
 83U 
 8 13 
 858 
 
 973 
 1,008 
 1,279 
 1,550 
 1,573 
 
 a See the following tables for references. 
 '• And also U. S. bonds issued prior to 1917. 
 c State, city and county salaries. 
 d Estimated. 
 
 The items of this table tire taken up in the following divisions. 
 
 1. Local Debts. 
 
 The next table gives the amount of state, municipal and local debts in 
 1913. 
 
 The security issues subsequent to 1913 are recorded by the Bond Buyer 
 which has the most complete records available. An estimate of the amount 
 of refunding may be obtained by comparing the total issues reported by 
 the Bond Buyer with the actual increase as shown by successive Census 
 reports. In 1902, the Census of Wealth, Debt and Taxation reported a
 
 262 
 
 THE ESTIMATE BY INCOMES RECEIVED 
 
 TABLE 22H 
 
 TOTAL AMOUNT OF STATE, MUNICIPAL, COUNTY, AND LOCAL BONDS 
 
 OUTSTANDING a 
 
 1913 
 
 State $ 345,942,305 
 
 Municipal 2,884,882,726 
 
 County 371,528,268 
 
 Specified Civil Divisions 100,672,758 
 
 School Districts 118,870,601 
 
 Total $3,821,896,658 
 
 a U. S. Department of Commerce, Bureau of the Census, Wealth, Debt, and Taxation, 
 1913. Sinking funds excluded. 
 
 total of $1,865 million for debts of states, municipalities, and localities as 
 compared with $3,822 million in 1913. This increase of $1,967 million 
 compares with total issues of about $3,100 million reported during the 
 same period in the Bond Buyer. Accordingly, the issues reported annually 
 by the Bond Buyer have been reduced by one-third to represent the approx- 
 imate net increase in indebtedness. 
 
 The following table shows the new issues of securities for each year, the 
 estimated increase of indebtedness, and the total estimated interest pay- 
 ments. 
 
 TABLE 221 
 
 ESTIMATED TOTAL DEBT AND INTEREST PAYMENTS OF STATES, 
 MUNICIPALITIES, COUNTIES, AND LOCALITIES 
 
 1910 to 1920 
 
 (Millions of dollars) 
 
 Year 
 
 1910. 
 
 1911 
 
 1912 
 
 1913. 
 
 1914. 
 
 1915. 
 1916. 
 1917. 
 1918. 
 1919. 
 1920. 
 
 I 
 
 II 
 
 III 
 
 IV 
 
 Amount 
 
 Estimated 
 
 Estimated 
 
 Total 
 
 issued a 
 
 net increase 
 of debt 
 
 total debt 
 
 interest at 
 4.5% c 
 
 $324 
 
 $216 
 
 $2,983 
 
 $134 
 
 452 
 
 301 
 
 3,284 
 
 148 
 
 399 
 
 266 
 
 3,550 
 
 160 
 
 408 
 
 272 
 
 3,822 b 
 
 172 
 
 446 
 
 297 
 
 4,119 
 
 185 
 
 493 
 
 329 
 
 4,448 
 
 200 
 
 497 
 
 331 
 
 4,779 
 
 215 
 
 445 
 
 297 
 
 5,076 
 
 228 
 
 263 
 
 175 
 
 5,251 
 
 236 
 
 770 
 
 513 
 
 5,764 
 
 259 
 
 745 
 
 497 
 
 6,261 
 
 282 
 
 a Bond Buyer, Jan. 3, 1920, p. 34, and Jan. 8, 1921, p. 32. 
 
 b Bureau of the Census, Wealth, Debt and Taxation, 1913. 
 
 c The average weighted rate of interest of samples of loans issued at various dates 
 was 4.47 per cent. The increase in interest rates in 1919 affects only a small fraction of 
 the total debt. 
 
 ,
 
 TOTAL INCOME PERSONS HAVING OVER $2,000 PER YEAR 263 
 
 2. Liberty Bonds. 
 
 Liberty Bond issues outstanding at different dates were of ttie following 
 amounts: 
 
 TABLE 22 J 
 
 APPROXIMATE VALUE OF LIBERTY BONDS OUTSTANDING 
 
 1917 to 1919 
 (Millions of dollars) 
 
 a Report of the Secretary of the Treasury, L917, p. 56. 
 b Report of the Secretary of the Treasury, 191S, p. 157. 
 c Report of the Secretary of the Treasury, 1919, p. 214. 
 d Report of the Secretary of the Treasury, 1920, p. 451. 
 e 1919 figure carried forward. 
 
 Of these issues, the First Liberty Loan and part of the Victory Loan are 
 entirely tax-exempt. The others are exempt only within rather narrow 
 limits. 
 
 The income from these bonds is divided between banks, corporations and 
 individuals. The following table shows the estimated amounts held by 
 banks on the one hand and by corporations and individuals on the other. 
 
 In order to estimate roughly the income from Liberty Bonds received 
 by individuals having incomes over $2,000, estimates of the interest re- 
 ceived by corporations, and by individuals having incomes under 82.000 
 must be made. An examination of corporation statements leads to the 
 conclusion that about $40 millions of such interest was paid to corporations 
 in 1918 and $90 millions in 1919. Subtracting these amounts from the 
 figures shown in the last column of Table 22K, we get a total received by 
 individuals of about $27 millions in 1917, $262 millions in 1918 and $683 
 millions in 1919. Seventy per cent of these amounts 1 may be considered 
 
 1 The original amounts of the bonds issued in the different denominations are as follows: — 
 
 $10,000 $3,209,810,000 
 
 5,000 1,493.060,000 
 
 1,000 9,767,222,000 
 
 500 2,095,775,000 
 
 100 3,3s«).s()().0()() 
 
 50 2,81 1,924,850 
 
 {Annual Report of the Secretary of the Treasury, 1920, p. 435.) The amounts owned by
 
 264 
 
 THE ESTIMATE BY INCOMES RECEIVED 
 
 TABLE 22K 
 
 
 ESTIMATED DIVISION OF THE INCOME FROM LIBERTY BONDS 
 BETWEEN BANKS, CORPORATIONS AND INDIVIDUALS 
 
 1917 to 1919 
 (Millions of dollars) 
 
 
 Bonds outstanding 
 
 Income from bonds 
 
 Year 
 
 I 
 
 Total 
 amount 
 outstand- 
 ing 
 
 II 
 
 Amount 
 held by 
 banks a 
 
 III 
 
 Amount 
 held by 
 corpora- 
 tions and 
 individuals 
 
 IV 
 
 Estimated 
 
 total 
 
 income 
 
 V 
 
 Estimated 
 
 income of 
 
 banks 
 
 VI 
 
 Estimated 
 income of 
 corpora- 
 tions and 
 individuals 
 
 1917 
 1918 
 1919 
 
 $ 1,466 
 9,314 
 
 20,726 
 
 $ 703 
 1,374 
 1,450 
 
 $ 763 
 
 7,940 
 
 19,276 
 
 « 51 
 357 
 
 834 
 
 $24 
 55 
 61 
 
 $ 27 
 302 
 773 
 
 " Reports of Comptroller of the Currency, 1917, v. I, p. 11; 1918, v. I, p. 16; 1919, 
 v. I, i). 40. 
 
 a fair guess at the proportion held by individuals with incomes over $2,000; 
 which suggests as the probable amount of tax-exempt personal income 
 from this source, about $20 millions in 1917, $180 millions in 1918, and 
 $480 millions in 1919. The later issues were more narrowly tax-exempt, 
 so that a considerable portion of the interest received in 1919 had to be 
 reported in the income-tax returns. The actual exemption in that year 
 was then loss than $480 millions by perhaps $100 millions, or say $380 
 millions. No change of any moment from this amount is warranted for 
 1920, and the same figure is used for that year. 
 
 3. Federal Farm Loans. 
 
 The following table gives the amount of Federal Farm Loan Bonds out- 
 standing in recent years. The Farm Loan Board estimates that practically 
 the entire issue is in the hands of the public and not in the hands of com- 
 mercial banks. 
 
 hanks and corporations must have been in the neighborhood of four billion dollars — probably 
 for the most part in large denominations. Few people having incomes of less than $2,000 
 could lie expected to own bonds of s.500; and some of the persons having incomes of over 
 s'_>,()(>() would own bonds of $50 or $100. The division of the bonds between persons having 
 more th:m $2,00(1 and less than sj, (loo would be approximately as follows: 
 
 To persons having over $2,000; $16,566 million, being the sum of the denominations of 
 $500 to $10,000, plus one-tenth of the $50 and $100 ($620 million), a total of $17.3 billion; 
 le $ 1 billion, the amount held bv banks and corporations, giving a final amount of $13.3 
 billion. To persons having less than $2,000; nine-tenths of the $50 and $100 bonds, or $5,584 
 million. This would give 70 per cent of the bond interest credited to individuals to persons 
 having over $2,000. 
 
 S
 
 TOTAL INCOME PERSONS HAVING OVER 82,000 PER YEAR 265 
 
 TABLE 22L 
 
 FEDERAL FARM LOAN BONDS OUTSTANDING 
 1917 to 1919 (Thousands of dollars) 
 
 
 1917 
 
 1918 
 
 1919 
 
 Bonds outstanding** 
 
 Bonds held by the Treasury b 
 
 $2 1 . 147 
 
 
 $21,447 
 992 
 
 $140,122 
 56,865 
 
 $285,500 
 L36,885 
 
 Bonds held l>v the Public. . 
 
 $83,257 
 3,851 
 
 $148,615 
 6,873 
 
 Income from Bonds held by the Public c . 
 
 "On October 31. 
 
 & Unpublished figures furnished by the Assistant Secretary of the Federal Farm 
 Loan Bureau. 
 
 c These loans pay from 4 l /2Per cent to 5 per cent and the interest rate is computed 
 on the basis of 4 5 /s per cenl . 
 
 4. U. S. Bond Issues prior to 1917 and Bonds of V. S. Possessions. 
 U. S. Bonds issued prior to the year 1017 consisted on June 30, 1919 of 
 the following: 
 
 TABLE 22 M 
 
 U. S. BONDS ISSUED PRIOR TO 1917 a 
 
 Consols of 1930 
 
 Loans of 1925 
 
 Panama ( Janal Loan 
 Panama Canal Loan 
 Conversion Bonds. . . 
 Postal Savings Bonds. 
 
 Rate of 
 interest 
 
 4 
 2 
 3 
 
 3 
 
 2V 2 
 
 Amount 
 
 $599,724,050 
 118,849, 
 74,901,. ".so 
 50,000,000 
 28,894,900 
 11,349,960 
 
 Principal 
 holder 
 
 Banks 
 Banks 
 Banks 
 Public 
 Banks 
 Public 
 
 ° Report of the Secretary of the Treasury, 1919, p. 113. 
 
 With slight changes, reported annually by the Secretary of the Treasury, 
 the interest on these amounts is about 822 million. A large number of 
 these bonds are held by banks; the best estimates obtainable show that 
 only the Panama 3 per end Bonds and the Postal Savings Bonds are to 
 any extent in the hands of the public. 1 The annual income from the bond 
 issues which are held largely by the public accordingly amounts to $1,784,- 
 000. To these issues must be added the interest on bonds of the posses- 
 sions of the United Slates (Hawaii. Philippines and Porto Rico). The 
 amounts involved are small. In 1910 the total debt was $22 million and 
 mounted gradually to $41 million in 1020. The interest at the earlier 
 date, therefore, was approximately 8880,000 and at the later dale, 
 
 1 Estimate made by Commission of Public Debt, August 25, 1920.
 
 286 
 
 THE ESTIMATE BY INCOMES RECEIVED 
 
 $1,040,000. These two amounts add up to about $3 million per year for 
 the earlier years and $4 million per year for the later years. 
 
 5. State, City and County Salaries. 
 
 The expenditures for salaries by states, cities and counties are not sub- 
 ject to the Federal income tax, and such salaries as are above $2,000 
 should, therefore, be added to the income which is known to accrue to cer- 
 tain individuals. The data arc mainly taken from the Census publica- 
 tions, Financial Statistics of States, 1918, Financial Statistics of Cities, 1918, 
 and County Revenues, Expenditures and Public Properties, 1913. From the 
 data given in these reports, other expenses, such as payments for upkeep, 
 interest, and general expenses, have been excluded in Column II of Table 
 22N, and the final estimate has been a rough paring-down of the remainder. 
 A number of items included both salaries and upkeep, so that an itemized 
 division is not practicable and no more elaborate method is warranted 
 under the circumstances. A check on the salaries paid by states was, how- 
 ever, possible. The reports of six States were scrutinized with great care, 
 and an estimate for the entire country was made on the basis of each state. 
 This estimate varied from $159 to $270 million, the average being $202 
 million. In view of this, the final estimate of $200 million for state sal- 
 aries appears reasonable. City and county estimates are reduced in an 
 approximately similar ratio. 
 
 TABLE 22N 
 
 ESTIMATED TOTAL SALARIES PAID TO STATE OFFICIALS 
 
 1918 
 
 State 
 
 I 
 
 Actual amount 
 
 of total 
 
 salaries paid 
 
 II 
 
 Estimated 
 
 amount of 
 
 total salaries 
 
 paid 
 
 III 
 
 Per cent of 
 population 
 .of U.S. re- 
 siding in State 
 
 IV 
 
 Estimated 
 amount of 
 salaries paid 
 by all States 
 on the basis 
 of one State 
 
 California a 
 
 Imliana b 
 
 Louisiana c 
 
 New Yorkd 
 
 Virginia e 
 
 Wisconsin/ 
 
 $10,092,581 
 
 $7,898,591 
 5,744,887 
 2,849,546 
 
 3,792,260 
 5,728,231 
 
 2.92 
 
 2.76 
 
 1.79 
 
 9.91 
 
 2.135 
 
 2.426 
 
 $270,499,690 
 208,148,000 
 159,192,510 
 159,477,477 
 177,623,410 
 236,118,340 
 
 Average of six precedinj 
 
 imates 
 
 $201,842,236 
 
 a California Biennial Report of the State Comptroller, 1917 to 1918. 
 
 b Indiana Year Haul;, 1919. 
 
 c Louisiana Biennial Report of Auditor, 1918. 
 
 d New York Report of Comptroller, 1917, Part 3, p. 11. 
 
 e Virginia Ann mil Report of Treasurer, August 3, 1918. 
 
 /Wisconsin Report of Treasury, June 30, 1917. 
 
 S
 
 TOTAL INCOME PERSONS HAVING OVER $2,000 PER YEAR 267 
 
 In order to determine the percentage of state salaries larger than $2,000, 
 1,500 samples were taken from the U. S. Official Register for 1911, 1917, 
 and 1919 by choosing the top right hand amount on each page. These 
 samples indicated that about 8 per cent of government employees receiv- 
 ing about 20 per cent of the total salaries fell in the class having salaries 
 of over $2,000, the percentage being about the same for each year. This 
 percentage is used in Column III of Table 220. Since government sala- 
 ries did not increase in any marked degree until 1919, when the average 
 increase was about 30 per cent, the same total of $155 million is kept from 
 1913 to 1918, and $200 million is estimated for 1919 and 1920. 
 
 TABLE 220 
 
 ESTIMATED TOTAL SALARIES PAID TO STATE, CITY VXD 
 
 COUNTY OFFICIALS 
 
 (Thousands of dollars) 
 
 
 I 
 
 Total expenses 
 
 of general 
 departments a 
 
 II 
 
 Estimated 
 
 total salaries 
 
 III 
 
 Estimated 
 
 salaries over 
 
 •82,000 (20 per 
 
 cent of Col. II) 
 
 State (1918) 
 
 $297,801 b 
 666,384 c 
 277,735 d 
 
 $200,000 
 400,000 
 
 175,000 
 
 $ 40,000 
 
 Cities over 2,500 (1913) 
 
 Counties (1913) 
 
 80,000 
 35,000 
 
 Total 
 
 8775,000 
 
 $155,000 
 
 "Expenses of General Departments include administrative and other expenses for 
 (a) General Government, (b) Protection to Persons and Property, (c) Conservation 
 of Health and Sanitation, (d) Highways, (e) Charities, Hospitals and Corrections, (f) 
 Schools and Libraries, (g) Recreation, (In Miscellaneous. 
 
 b Bureau of the Census, Financial Statist if* of States, 1918, Table 10. 
 
 c Census of Municipal Pcrcnue-*, E.r/tenditures and Public Properties, 1913, p. 182, 
 Table 5. 
 
 d Bureau of the Census, Wealth, Debt and Taxation, 1913, v. II, Table 5, p. 210., 
 
 6. Rental Value of Homes Owned by their Occupants. 
 
 To estimate the value of the rentals of homes owned by persons in the 
 income class above S2,0()0, it is necessary to fall back on broad generaliza- 
 tions. No definite body of data exists. The number of persons exclud- 
 ing farmers falling into this group and their total incomes are shown 
 in Table 22A. 
 
 The Census of 1910 reports about- five and one-quarter million houses 
 owned by occupiers, excluding farmers. This is about 40 per cent of the 
 fourteen million families in the country. Since home ownership has in- 
 creased among the wealthy, especially in recent years, because of the
 
 268 THE ESTIMATE BY INCOMES RECEIVED 
 
 income-tax exemption, it is not improbable that one-half of the income- 
 tax payers own their homes. 
 
 There does not appear to be any information in regard to the relation of 
 income to rent for the higher class incomes. The Bureau of Labor Statis- 
 tics finds 13.4 per cent to be the proportion of rent to income for working- 
 class families. 1 These data, which include incomes up to 82,500, show that 
 the percentage decreases with a rise in the incomes; for incomes above 
 $2,500 we have no data regarding the relation between rent and income. 
 Without a complete Census, or at least a typical sample of incomes, rents, 
 and ownership of homes of the different income classes of the country, any 
 estimate must be mere conjecture. 
 
 The proportion of 13.4 per cent above mentioned, when applied to one- 
 half the total amount of income, estimated for the class above $2,000, 
 yields results ranging from one-half billion to three-fourths billion dollars. 
 In view of the increase in the number of income-tax payers between 1913 
 and 1919, together with the increase in the amount of income, it is con- 
 cluded that the total value of rents increased from about one-half to three- 
 fourths billion dollars. Because of the need of placing a definite amount 
 in Table 22G, amounts varying from $500 to $700 million are inserted, 
 but their accuracy is only nominal. 
 
 1 Monthly Labor Review, August, 1919, p. 118. 
 
 ,*
 
 CHAPTER 23 
 
 TOTAL AMOUNT OF INCOME RECEIVED BY PERSONS 
 
 HAVING UNDER $2,000 
 
 § 23a. Introduction 
 
 By far the larger number of persons gainfully employed have incomes 
 under $2,000; and of these incomes, the major portion conies from personal 
 earnings received in the form of wages. Profits of small business men and 
 earnings of professional men, when they are less than 82,000, are not re- 
 ported to the Bureau of Internal Revenue, and it has been necessary to as- 
 sume that these average amounts are substantially on the same level with 
 wages under 82,000. This assumption in regard to the average may not 
 be far from the truth, even though the distribution of wages is quite differ- 
 ent from that of profits and professional earnings. The error involved can- 
 not in any case be very large. A study of typical distributions of these 
 three types of income would be a valuable 1 piece of work. It is on the 
 information concerning wages, therefore, that the chief reliance must be 
 placed in estimating incomes under 82,000. 
 
 In order, however, to arrive at the total for this group, estimates must 
 be added for the income received from other sources. These are income 
 from pensions, from homes owned by those who occupy them, and from 
 investments. Once more the condition of the data makes it necessary to 
 treat agriculture apart from other industries, so that separate estimates 
 have to be made for the incomes of farm laborers and of farmers. The 
 amount of each of these items together with the final figure for all incomes 
 under $2,000 is shown in Table 23A. 
 
 § 23b. Personal Earnings 1 
 
 No wages Census has ever been taken in the United States. If there 
 hail been, this estimate would have been less difficult to make, and the 
 results would doubtless be more trustworthy. Under the circumstances, 
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 average amount per person from such samples as are obtainable for each 
 occupational group, and multiply this average by the number of persons 
 actually working in this group. An estimate 1 could also be made from the 
 entire number of persons connected with an industry provided the aver- 
 1 Except those of farm Laborers ami farmers^ which arc taken up in §§ 23c and ~S.i£. 
 
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 ,
 
 TOTAL INCOME PERSONS HAVING UNDER 82,000 271 
 
 age wages were also estimated on that basis. But most of the average 
 wages reported are based on the average number of workers actually 
 employed at some one time. Hence, the first method is the more feasible. 
 
 Generally speaking, the average number of persons employed in an 
 industry is from 3 per cent to 10 per cent less than the number of persons 
 attached to the industry. 1 About 3 per cent are constantly out of em- 
 ployment because of sickness and other reasons and a certain additional 
 per cent are irregularly out of work because of seasonal and cyclical 
 fluctuations. 
 
 The occupational groups are divided in general accord with the scheme 
 used in the Census of Occupations of 1910. In Table 23D are shown the 
 numbers of persons actually at work in each year. From these figures 
 have been subtracted the number of persons receiving incomes of over 
 82,000 estimated on the basis of the preceding chapter. (Tables 23E and 
 23F) The next step has been to estimate the average wages in each occu- 
 pational group (Table 23G), and by multiplication of average wages and 
 average numbers (Table 23H), to obtain a figure for total wages paid. 
 
 In some cases, the different samples from which the average wages pre- 
 sented in Table 23G were made up, showed considerable variation. How- 
 ever, in the most important groups, particularly in Manufacturing and 
 Transportation, the results drawn from different sets of data checked 
 against each other with a satisfactory degree of accuracy. After the table 
 had been completed on the basis of independent estimates for each item, 
 it was again studied to locate such inner discrepancies as might lead to the 
 detection of errors, either in the relation of wages imputed to different 
 years or to different occupations. Where discrepancies were found, addi- 
 tional information was sought. The result is presented as the nearest 
 practical approximation of the facts we could make from the existing data. 
 
 It may be well to warn the reader against the attempt to estimate annual 
 average earnings from hourly, daily or weekly rates of pay. While it is 
 easy to multiply daily rates of pay by the number of working days in a 
 year, this method involves some assumption as to the average number of 
 days worked. Examples have been found of both annual average earnings 
 and daily or weekly rates of wages, together with the number of days or 
 weeks in operation, which show that the results found by multiplying 
 average rates by days in operation give untrustworthy results. Wage 
 rates, therefore, have been used only as indices and with the greatest 
 possible care. This difficulty is most unfortunate because the great 
 mass of the material to be had is in the form of hourly, daily or weekly 
 rates of pay. 
 
 1 Cf. Chapter 2, § d. Also Honiell Hart, Fluctuations in Unemployment in Cities of the 
 United States, 1002 to 1917.
 
 
 272 THE ESTIMATE BY INCOMES RECEIVED 
 
 Taken as a whole, the data on which these tables rest are numerous and 
 fairly reliable. As said above, the average number of persons employed is 
 based on the 1910 Census of Occupations. As the Census reports the total 
 number of persons gainfully employed in each occupational group, these 
 figures have to be adjusted to the average number actually employed. 
 This adjustment has been made in the case of Manufactures by comparing 
 the monthly average number at work in 1909, reported in Census of Man- 
 ufactures, 1909, with the highest number employed, and assuming the 
 same ratio for 1910. Similar methods of approximating the number actu- 
 ally at work in 1910 have been applied to each occupation. 1 
 
 The average wages found in each occupational group have been ap- 
 plied to the entire number of persons actually at work in that group. This 
 plan involves a certain technical error, for some of those in every group 
 work independently and hence, receive what is generally classified as 
 "profits" and not "wages." No estimate that is more than a guess as to 
 the total amount of these "profits" and as to the number who thus work 
 independently is available. It has been found necessary, therefore, to 
 assume that the average profits of those having an income under $2,000 
 is approximately the same as the average wages of employees engaged in 
 the same industry. An exception is made in the case of "trade," where 
 the large number of independent workers appears to indicate a rather 
 higher income than one based strictly on wages. 2 
 
 Furthermore, a major difficulty in classification should be pointed out. 
 There are many cases in which the same person might fall within either 
 of two groups. Examples are clerks employed by railroads, engineers 
 connected with a factory or mine, lawyers or doctors holding public ser- 
 vice positions, horseshoers or field clerks in the army, etc. Classifications 
 decided upon by the Census Bureau were of necessity more or less arbi- 
 trary, but careful study has led to the conclusion that they are on the whole 
 as satisfactory as any other set of arbitrary assignments. The only depar- 
 tures from the Census classification which we have made are (1) to shift a 
 certain number of those engaged in manufacturing connected with mining 
 (reported under manufacturing in the Occupation Statistics of 1910) to 
 mines, and (2) to change a certain number of persons who on account of 
 occupation were listed under manufacturing, to the army and navy, for 
 which a separate group was made. Both changes are of small importance, 
 but they are desirable because actual figures from other sources for later 
 years are based on the revised classifications. 
 
 1 The method here adopted makes probable a certain amount of understatement of an- 
 nual income, owing to flic real and regular mobility of labor in shifting from one industry to 
 another. This is especially the case in seasonal industries. — M. C. Rorty. 
 
 - I question the assumption that business and professional earnings under $2,000 are com- 
 parable to wages. Frequency curves are probably quite different. — M. C. Rorty.
 
 TOTAL INCOME PERSONS HAVING UNDER 82,000 273 
 
 There is a considerable chance of error in the numbers attributed to each 
 occupational group. Each person is placed by the Census in that group 
 which he considers his regular occupation. But there is of necessity a 
 large amount of shifting, both from seasonal causes and from variations in 
 the activity of different industries. Such shiftings, however, will affect the 
 total wages of all the groups less than the wages assigned to each group. 
 For the total will only be affected as the average amount of w 7 ages varies 
 from group to group. This error is probably not of momentous im- 
 portance, for it will tend to raise the total as often as to lower it. 
 
 The main sources of information for each of the leading groups recog- 
 nized in the estimate are as follows: — 
 
 (1) Mining. The estimated number engaged in mining is based on 
 actual figures for approximately 93 per cent l of all mines in 1911 to 1918 as 
 reported by the Bureau of Mines. After careful comparison of the numbers 
 reported in metal mines, coal mines and quarries by the Census of Mines and 
 Quarries, 1909, by the Occupation Statistics of 1910, and by the Bureau of 
 Mines, 1911 to 1918, an estimate was made for 1910. These figures repre- 
 sent the number employed in mines during operation, which is unquestion- 
 ably somewhat higher than the average number employed during the entire 
 year. 2 It is believed that when these figures have been combined with 
 average annual wages from sample states (Pennsjdvania, Kansas, Michigan, 
 Illinois, West Virginia) based on the data for the whole country given by 
 the Census of Mines and Quarries, 1909, the resulting total wage is higher 
 than it should be. A slight reduction has accordingly been made on the 
 basis of the number of days which mines were closed down. Figures for 
 the number of days in operation are available for coal mines, and for some 
 other fields, but fluctuations are so violent and so erratic that the data 
 cannot be used as samples for all mines. Average wages in certain metal 
 mining companies, which were made available to the Bureau, were also 
 consulted for the purpose of checking the general accuracy of the results 
 obtained. 
 
 (2) Manufacturing. The data for the number employed, upon which 
 the estimates in the manufacturing group are based, were obtained from the 
 Census of Manufactures (1909, 1914 and 1919) and reports of the statistical 
 bureaus or labor departments of five states: Massachusetts. New Jersey. 
 Michigan, New York and Wisconsin. An index was made for these sam- 
 ple states, checked by means of the Census of Manufactures in 1909, 191 I 
 and 1919. This index number was used in interpolating the number of 
 men at work in the non-census years. The same sources and in addition, 
 the labor reports of Kansas, Ohio and Pennsylvania were consulted with 
 
 "See note b, Table 23 D. 
 
 2 Several states report the average numbers of men employed in mines during the year, 
 but these samples arc too small to be of much use.
 
 274 THE ESTIMATE BY INCOMES RECEIVED 
 
 regard to average wages. Wages of certain special groups, such as textile, 
 steel, and shipyard workers, and mechanics and carpenters employed by 
 railroads, were taken into consideration for the purpose of checking the 
 general results. It will be seen that from the abundance of material 
 given in the exact form desired — that of average annual wages and aver- 
 age number employed — it was possible to construct a fairly adequate 
 estimate of the trend of aggregate earnings in this field. 
 
 (3) Transportation. In chapter 8, in Part I, Mr. King estimates 
 the average number of persons employed by steam railroads, street and 
 electric railways, express, telephone and telegraph companies. These fig- 
 ures are based on data from the Interstate Commerce Commission and the 
 Census, and comprehend a major part of those employed in transportation. 
 An index number was made from the totals and applied to the number re- 
 ported in the Occupation Statistics of 1910 after 6 per cent had been sub- 
 tracted for unemployment. This per cent is a rough approximation, little 
 material of adequate character being obtainable for an accurate estimate. 
 Wages data also are given for the above classes of employees by the Inter- 
 state Commerce Commission and Census. Average annual wages for 
 teamsters and drivers in Ohio and Michigan, for railway mail clerks, and 
 scattered data on rates of pay of employees in water transportation were 
 studied with a view to covering those occupations not included by the 
 Interstate Commerce Commission. It will be seen that the data available 
 are varied and fairly comprehensive, so that the conclusions reached 
 regarding total wages for transportation should contain a minimum 
 amount of error. 
 
 (4) Trade. Owing to the fact that there are no figures upon which to 
 base an estimate of the numbers engaged in trade, this section is particu- 
 larly unsatisfactory. The assumption was made that unemployment in 
 1910 would cover only the portion of those engaged who were earning 
 wages (clerks in stores, etc.) and not those deriving their income from 
 profits (retail dealers, etc.). Three per cent therefore was used to reduce 
 the number attached to this group to the average number employed. 
 The assumption was also made that in regard to the number employed, 
 trade resembled manufactures more closely in its general movement than 
 any other group, as the clerk in a store is more likely to become a factory 
 worker than a farm hand, or railroad worker. However, the unprecedented 
 increase in manufactures owing to the war was probably not paralleled 
 closely in trade and therefore, a composite figure was used for the years 
 after 1910. This figure was made by applying the ratio of persons engaged 
 in trade to the total population in 1910 and to the population of succeeding 
 years, with corrections for the business cycle and the war. 
 
 The weighted average of all wages, with the exception of the army, has
 
 TOTAL INCOME PERSONS HAVING UNDER $2,000 275 
 
 been used as the average wage of this group. This figure seems to be 
 reasonable, in that it is slightly above average earnings in manufacturing 
 and below average earnings in mines and transportation. Reference to 
 Table 27C will show that the manufacturing group contains about the same 
 proportion of women as the commercial group; but the number of independ- 
 ent workers is less, so that a somewhat lower average income appears 
 justified. On the other hand, the mining and transportation groups con- 
 tain only a small percentage of women, so that we may look for a rela- 
 tively high average wage in these groups. 
 
 (5) Public Service. In the public service group, the increase in the 
 number employed was assumed to be at the same rate as that of the Fire 
 and Police Departments of six cities (St. Louis, New York, Boston, Charles- 
 ton, S. C, Washington, D. C, Chicago, and Baltimore). As unemploy- 
 ment plays little or no part in this group, the offices being largely fixed in 
 number and kept filled by election or appointment, the number reported 
 by the Occupation Statistics for 1910 was used for that year without any 
 reduction. An examination of Federal and state reports shows that there 
 have been few increases in salaries during the decade in the case of officials, 
 and as their salaries are for the most part over $2,000, they do not need 
 to be considered in this section. The trend of annual average salaries of 
 Fire and Police Department employees was considered to be representa- 
 tive of the remaining occupations in this group. The actual figures, how- 
 ever, have been somewhat reduced in order to take into consideration 
 lower grade employees such as watchmen and laborers. Owing to the fact 
 that Public Service employees are largely classified under a variety of 
 heads (Clerical, Professional, etc), the total salaries paid to all Federal, 
 state, county and city employees are useless for the present purpose. As 
 separate data for the salaries paid in each occupation are difficult to 
 segregate, the final figures for this group must necessarily be rough approx- 
 imations. 
 
 (6) Professional Service. The occupations included under professional 
 service form a long list of heterogeneous professions, teachers being about 
 one-third of the whole. Ministers, doctors, dentists, engineers, actors, 
 musicians arc among the more important professions included. The 
 average numbers so engaged have been estimated with the aid of the num- 
 ber of teachers as reported by the Bureau of Education, the number of 
 doctors published in the biennial register of (he American Academy of 
 Physicians and Surgeons, and the number of ministers given in the Census 
 of Religious Bodies, 1900 and 1910. The numbers of Federal judges and 
 attorneys, 1 and of physicians in public health work or resident in prisons 
 
 'Letter from the Department of Justice and state Reports of Treasury and Labor De- 
 partments.
 
 270 THE ESTIMATE BY INCOMES RECEIVED 
 
 and reformatories have remained approximately constant. Samples of 
 salaries exist for several professions, although they cannot be taken as 
 typical of the whole group without considerable adjustment. Those used 
 in Table 23G are therefore approximations arrived at from careful study 
 of teachers' and ministers' salaries as reported by the Federal Govern- 
 ment and from smaller samples of the salaries of college professors, en- 
 gineers and professional men in government employ. 1 
 
 (7) Personal Service. No data except those provided by the Census 
 exist from which to estimate the average number employed in Domestic 
 and Personal Service. The group includes about one million domestic 
 servants, the other two and a half million being widely scattered among 
 barbers, laundry workers, watchmen, bartenders, restaurant workers, 
 hotel-keepers, and other minor occupations. The numbers reported in 
 the Occupation Statistics of 1910 were reduced by 6 per cent to cover esti- 
 mated unemployment; a preliminary estimate of the Census Bureau sup- 
 plied the corresponding number in 1920. The intervening years were 
 interpolated. In the years 1916, 1917, 1918 and 1919, adjustment was 
 made for the number who enlisted or were drafted into the army and navy, 
 and for shifts into manufacturing. This estimate was made on the basis 
 of the per cent of domestics in Class I of men registered for military ser- 
 vice to the total number of Class I, 2 given by the Provost Marshal Gen- 
 eral for 1918 and applied to the average number in the army and navy in 
 each of the war years. Annual average wages for some of the occupations 
 of this group are given at odd intervals. Especially useful have been the 
 data on laundry workers in Massachusetts each year, and in the District 
 of Columbia for 1909, 1914 and 1919; and the data for restaurant workers 
 in Michigan are reported from 1909 to 1918. Aside from this, the material 
 available is in the form of rates of pay in isolated years for individuals or 
 small groups, which are useful only as a check. While the data are meager 
 and the method necessarily faulty, the evidence indicates that as a whole 
 earnings of this group have increased more slowly than any other and that 
 it is the lowest paid. 
 
 (8) Clerical Occupations. Consecutive material for an adequate esti- 
 mate of the average number engaged in clerical occupations is entirely 
 lacking. The number as given in the Occupation Statistics of 1910 was 
 therefore reduced by 6 per cent to account for unemployment in that 
 year. A preliminary estimate from the Census Bureau supplied the num- 
 ber in 1920. The intervening years were interpolated, and adjustments 
 
 1 This method is likely to give an underestimate. The newer business professions are 
 likely to be unreported. For illustration — the income of accountants in practice on their 
 own account or in the employ of larger firms and receiving under $2,000 each would probably 
 total $10 to $20 million. There has been a rapid increase in the law and all professions closely 
 associated with business. — J. E. Sterrett. 
 
 2 Second report of Provost Marshal General, 1918.
 
 TOTAL INCOME PERSONS HAVING UNDER 82,000 277 
 
 made for the war based on the reports of the Provost Marshal General. 
 The per cent of unemployment is only an approximation, but has some 
 basis in that it is the same as that used in transportation and manufac- 
 turing where a large number of clerks are employed. However, the in- 
 crease in the number of clerks in manufactures (Census of Manufactures) 
 from 1909 to 1914 was somewhat high owing to a change in the grouping 
 of manufacturing employees and hence could not be used as a check. The 
 pay of clerks in railroads 1 and in shipbuilding, 2 although they could cover 
 only a very small portion of the whole, were found to check with the figures 
 used. 
 
 The group has as its largest division a miscellaneous class of "Other 
 Clerks," but it also includes bookkeepers, accountants, agents, stenog- 
 raphers, and messengers. For the latter occupations, we find a consider- 
 able amount of wages data of a scattered nature, including various govern- 
 ment investigations, the figures for office clerks in factories in Michigan, 
 for clerks in railroad transportation in all years, and in manufactures in 
 1909 and 1914. Other States report isolated average wages for particular 
 years, which help to check the general accuracy of the results shown. A 
 large proportion of comparatively skilled workers is included, so that the 
 average wages should be relatively high in comparison with those in the 
 other occupational groups. 
 
 (9) Army and Navy. The Army and Navy is numerically of small 
 importance with the exception of the years 1917, 1918 and 1919. For 
 these years, monthly figures published by the War and Navy Departments, 
 have been used to determine the average number employed during those 
 years. The pay has been estimated from reports of the War and Navy 
 Departments for enlisted men, with about $200 per year added for food, 
 clothing and shelter. 
 
 Nothing has been said as yet of the number of persons engaged in agri- 
 culture. The number of farm laborers, including wives and children of 
 farmers working on their home farms, is so uncertain that it is left for 
 treatment under the separate section on farm laborers. 
 
 Since the total number of persons having incomes over $2,000 has been 
 estimated in the preceding chapter, it is necessary only to subtract the 
 numbers there shown from the total gainfully employed in order to arrive 
 at the number having incomes under $2,000. A rough classification of 
 persons with incomes over $2,000 according to the groups used in this sec- 
 tion may be made from certain tables shown in the official Statistics of 
 Income. The tables are entitled Distribution of Incomes by Occupations 
 
 1 Interstate Commerce Commission, Statistics of Railroads, 1000 to litis. 
 
 2 Census of Manufactures, 190'J and Census of Shipbuilding, 1914, 11)16.
 
 278 THE ESTIMATE BY INCOMES RECEIVED 
 
 in 1916 and Income Reported from Business Pursuits by Industries, in 1917 
 and 1918. x While these tables are not strictly comparable, and consider- 
 able adjustment has to be made in order to fit them into the classifica- 
 tion here used, the general results obtained from the two sources are fairly 
 consistent with each other. Again, it may be pointed out that the total is 
 probably more accurate than the parts. These estimates are shown in 
 Table 23E. 
 
 Table 23F shows the numbers left after subtracting persons having 
 incomes over $2,000 in each group from the total average number in that 
 group. It will be noted that the number of persons having incomes of less 
 than $2,000 shows decreases in the war years in some groups. These 
 decreases arise from the fact that many persons in these years rose into 
 the group having incomes over $2,000. In the summary (Chapter 26) 
 these changes in the distribution of income will be considered. 
 
 The final results have been subjected to a number of tests. The num- 
 ber gainfully employed has been estimated for each year and checked by 
 advance information for 1920 from the Census Bureau. 
 
 The Provost Marshal General made a similar projection of the gain- 
 fully employed in 1917, 2 arriving at a total of 28,751,419, excluding farmers 
 and farm laborers, which checks well with the figure presented for that 
 year (29,230,000). The number actually employed in 1917 as well as in 
 1918 and 1919, was larger than was indicated by the projection which the 
 Provost Marshal used, owing (1) to a shift from agriculture into industry 
 and the army; (2) the inclusion of college students and normally idle per- 
 sons in the army ; and (3) the temporary employment, at wages, of house- 
 wives and other women not usually counted among the gainfully employed. 
 
 With regard to wage movements, the weighted average of wages was 
 computed for each year, and converted into an index number on the base 
 1913 = 100. This series may be compared with the index number for wages 
 published by the Bureau of Labor Statistics. In making this comparison, 
 one should bear in mind what the Bureau of Labor Statistics has said 
 about its own figures: "The Bureau has hesitated to attempt the prep- 
 aration of such a wage index because of the incomplete and disconnected 
 material available for its construction. However, an index number has 
 been prepared by the Bureau from all sources accessible, and is here pre- 
 sented." The agreement of the results arrived at in these independent 
 investigations corroborates their general accuracy. (Table 23B) 
 
 The division of the industrial groups according to age and sex is a vital 
 factor in judging the relations among average wages ascribed to each. 
 Table 23C has been prepared from the Census of Occupations of 1910 
 
 ^Statistics of Income: 1916, p. 31; 1917, p. Id; 1918, p. 11. 
 
 - Second Report of the Provost Marshal General, December 20, 1918, p. 407.
 
 TOTAL INCOME PERSONS HAVING UNDER $2,000 
 
 279 
 
 TABLE 23B 
 
 COMPARISON OF THE INDEX NUMBER OF WAGES MADE IX THIS STUDY 
 WITH THAT OF THE BUREAU OF LABOR STATISTICS 
 
 1910 lo 1920 
 
 
 I 
 
 II 
 
 III 
 
 IV 
 
 V 
 
 VI 
 
 VII 
 
 VIII 
 
 IX 
 
 X 
 
 XI 
 
 
 1910 
 
 1911 
 
 1912 
 
 1913 
 
 1914 
 
 L915 
 
 1916 
 
 1917 
 
 191S 
 
 1919 
 
 1920 
 
 Weighted av- 
 
 
 
 
 
 
 
 
 
 
 
 
 erage wage a 
 
 
 
 
 
 
 
 
 
 
 
 
 (Dollars) . . . 
 
 595 
 
 607 
 
 623 
 
 637 
 
 643 
 
 666 
 
 708 
 
 807 
 
 1003 
 
 1 1 I.", 
 
 1321 
 
 Index number 
 
 
 
 
 
 
 
 
 
 
 
 
 (1913 = 100) 
 
 93 
 
 95 
 
 98 
 
 100 
 
 101 
 
 105 
 
 111 
 
 127 
 
 157 
 
 180 
 
 207 
 
 Index number 
 
 
 
 
 
 
 
 
 
 
 
 
 of Bureau 
 
 
 
 
 
 
 
 
 
 
 
 
 of Labor 
 
 
 
 
 
 
 
 
 
 
 
 
 Statistics b 
 
 
 
 
 
 
 
 
 
 
 
 
 (1913 = 100) 
 
 93 
 
 95 
 
 97 
 
 100 
 
 102 
 
 103 
 
 111 
 
 128 
 
 162 
 
 184 
 
 
 a Computed by dividing total amount of earnings in Table 2311 by total numbers of 
 persons, Table 23F, excluding Army and Navy. 
 
 b Monthly Labor Review, February, 1921, p. 74; 1919 figure applies to the spring of 
 1919. 
 
 and is presented to aid readers in canvassing the reasonableness of the 
 results reached in this investigation. 
 
 TABLE 23C 
 
 PERCENTAGE DIVISIOX ACCORDIXO TO AGE AXD SEX OF THE NUMBER 
 GAINFULLY EMPLOYED IX EACH INDUSTRIAL GROUP a IX 1910 
 
 (Clerical help included) 
 
 
 I 
 
 II 
 
 Ill 
 
 IV 
 
 V 
 
 ( '.roup 
 
 Percentage of males 
 
 Percentage of females 
 
 Total 
 
 Over 20 
 years of age 
 
 65.2 
 86.5 
 73.7 
 85.0 
 71.0 
 91.3 
 51.2 
 28 . s 
 
 Under 20 
 years of age 
 
 Over 20 
 
 years of age 
 
 Under 20 
 years of age 
 
 Agriculture 
 
 20.1 
 13. 4 
 11.1 
 
 10.1 
 112 
 
 l :; 
 :; 3 
 3 ."» 
 
 8.6 
 
 0.1 
 10.6 
 
 3.0 
 12.0 
 
 :; .9 
 37.9 
 :.:; . 1 
 
 6.1 
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 4.6 
 1.9 
 5 8 
 5 
 
 7.6 
 
 lit'. 
 
 100.0 
 
 Mines 
 
 1(11) 
 
 Manufacturing 
 
 Transportation 
 
 Trade 
 
 Public Service 
 
 100 
 
 kid ii 
 
 101) I) 
 100. 
 
 Professional Service.. . . 
 
 Persona] Service 
 
 101) 
 100 
 
 ^Occupation Statistics, 1910, Table VI, pp. 302 ff. 
 
 With these explanations, the five tables described in the preceding text 
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 § 23c. The Earnings of Farm Laborers 
 
 The Census for 1910 places the number of farm laborers at 6,390,000, 1 
 and estimates that $651,611,287 2 was expended by farmers for labor. 
 These figures would yield the rather absurd average annual wage of $102 
 for each farm laborer. Inquiry has developed the fact that among farm 
 laborers are included those wives and children of fanners who work only 
 at irregular intervals, and often for only a few days. The ( Jensus uses the 
 terms "home farm" and "working out" in subdividing farm laborers. 
 There are reported under the title "home farm," 3,310,000 persons of 
 whom 2,216,000 are under twenty years of age. Of those' over twenty 
 years, 563,000 are women, leaving only 531,000 males over twenty years 
 old in the home-farm group. These laborers appear to be mainly sons 
 working with their fathers, and their earnings are probably included as 
 part of the general income of the farm. 
 
 There are left therefore, as independent income receivers 3,080,000, of 
 whom 2,637,000 are laborers "working out," and 443,000 are under spe- 
 cial classifications. Of the entire group, 274,000 are under sixteen years of 
 age, and 350,000 are women. Even after the numbers are reduced in this 
 way, when they are taken in conjunction with the $652 million paid out 
 by farmers, we still have the low average wage of $212. 
 
 The total amount paid by farmers for labor is generally accepted by 
 qualified judges as approximately correct. It was compiled by asking 
 each farmer what sum he paid out for labor. The number of farms and 
 acreage under cultivation remained approximately the same throughout 
 the decade, so that the assumption is made that the amount of hired help 
 remained about the same. 3 The only item of change, then, is in the rate of 
 monthly pay without board, which is taken as typical of the movement of 
 wages. These reports give the average wages of a large number of report- 
 ing districts and their accuracy is only approximate. 
 
 While the amounts shown in Column III of table 231 are all that were 
 paid by farmers, yet it is clear thai more than this must have been earned 
 by those who were classed as agricultural laborers. The group of 3,080,000 
 who worked out probably earned at least an average of $400 per year. 
 The best conjecture available is thai about one-quarter million laborers are 
 hired by the year, some one and one-half million by the month for a period 
 of three to seven months, and about a million more are employed by the 
 day. Conditions in different parts of the country vary so greatly that 
 estimates based on any locality must be accepted with reservations, and 
 
 'Bureau of the Census, Occupation Statistics, p. 302 IT. includes agricultural laborers, 
 other agricultural pursuits and other occupations under forestry and animal husbandry. 
 
 2 Abstract of the Census, 1910, p. 372. 
 
 3 In 1920, this preliminary Occupation Statistics indicate slightly under three million inde- 
 pendent income receivers, as against slightly over three million in 1910.
 
 200 
 
 THE ESTIMATE BY INCOMES RECEIVED 
 
 these numbers are given only as rough approximations. The month and 
 day laborers ordinarily find some other occupation during the winter to 
 supplement their wages from the farm. 
 
 The total earning capacity of this group in 1010 must have been in the 
 neighborhood of one to one and a quarter billions, of which only $652 mil- 
 lion was received in money from farmers. It is not unreasonable, there- 
 fore, to add $500 million for 1910 to the $652 million in order to arrive at 
 total earnings. 1 This assumption imputes a lower earning power to farm 
 laborers than to any other class, which is in accord with what seem to be 
 the facts. A similar amount, increased in proportion to the general wage 
 level, has therefore been added to the estimate of farm laborers' income 
 for each subsequent year. The amount for 1920 has, however, been 
 increased to allow for the return of 250,000 men from the army to farm 
 labor, and their rate of pay is added. This increases the proportionate 
 amounts shown for 1920 by 1/12 (3,080,000-^250,000). 
 
 TABLE 231 
 
 ESTIMATED EARNINGS OF FARM LABORERS 
 
 1910 to 1920 
 (Millions of dollars) 
 
 Year 
 
 I 
 
 Monthly 
 wages with- 
 out board a 
 
 II 
 
 Relative 
 pay 
 
 III 
 
 Total 
 wages from 
 farm laboi b 
 
 $ 652 
 682 
 701 
 718 
 
 708 
 714 
 
 778 
 958 
 
 1,157 
 1,334 d 
 
 1,668 
 
 IV 
 
 Other 
 earnings c 
 
 V 
 
 Total 
 earnings 
 of farm 
 laborers 
 
 1910 
 
 $27.50 
 28.77 
 29.58 
 30.31 
 
 29.88 
 30.15 
 32. S3 
 40.43 
 
 48.80 
 56 . 29 
 64.95 
 
 100.0 
 104.6 
 107.6 
 110.2 
 
 108.7 
 109.6 
 
 119.4 
 147.0 
 
 177.5 
 204.7 
 236.2 
 
 $ 500 
 511 
 
 527 
 538 
 
 543 
 565 
 597 
 683 
 
 844 
 
 96S 
 
 1,110 
 
 SI, 152 
 
 1911 
 1912. 
 1913. . . 
 
 1914 
 1915 
 
 1916 . . . 
 1917 
 
 1918 
 
 1919 
 
 1,193 
 1,228 
 1,256 
 
 1.251 
 1,279 
 1,375 
 1,641 
 
 2,001 
 2,302 
 
 1920 . 
 
 2,778 e 
 
 
 
 a St,:l 1st in, I Abstract, 1920, p. 303. 
 
 b $651,61 1,2S7, Abstract of the C< nsus, 1910, p. 372, projected by index in Column II. 
 • $500 million in 1910 projected by index of wages. 
 
 ''The recently published Summary of the 1919 Census of Agriculture places the 
 amount expended by farmers for labor at $ 1,356,403,452. 
 e For explanation see text. 
 
 i Duplication of wages actually earned in other industries, to which farm laborers turn 
 in winter, is avoided because of the fact that they are not enumerated in those industries. 
 There is no error in the total; but there is a certain amount of error in the manner in which 
 the earnings are divided between industries. 
 
 <*
 
 TOTAL INCOME PERSONS HAVING UNDER $2,000 
 
 291 
 
 § 23d. Pensions 
 
 Pensions of the Federal, State, and City governments may be credited 
 entirely to persons having incomes under $2,000. The Commissioner of 
 Pensions reports annually the amounts paid for Federal pensions; state 
 pensions are reported in the Financial Statistics of States; and city pen- 
 sions are reported in the Financial Statistics of Cities. Both of these vol- 
 umes are issued by the Census Bureau at irregular periods, so that figures 
 for intermediate years have been interpolated. Other forms of pensions, 
 received from corporations and lodges, are incapable of determination; 
 but they appear to be so small a factor in the total that they may safely 
 be disregarded. 
 
 TABLE 23J 
 
 FEDERAL, STATE AND CITY PENSIONS 
 
 1910 to 1920 
 
 ( Millions of dollars) 
 
 
 I 
 
 Federal « 
 
 II 
 
 State 
 
 III 
 
 City 
 
 IV 
 
 Total 
 
 1910 
 
 1911 
 
 1912 
 
 1913 
 
 1914. . 
 
 1915. 
 
 $159.9 
 157.3 
 152.9 
 174.1 
 
 172.4 
 
 165.5 
 159.1 
 
 160. S 
 179.8 
 
 2122.2 
 
 S 8.4 6 
 
 9.76 
 
 11.06 
 
 12.3 6 
 
 13.6 b 
 
 14.9 c 
 
 16.1 c 
 17.3 6 
 18 6 
 
 20.2 c 
 
 $ 6.8b 
 7.(1'' 
 
 8 5 I 
 
 9 2 6 
 9.9 6 
 
 10.6 d 
 
 11.6 6 
 
 12.7 d 
 
 13 •")'' 
 I 1 3 6 
 
 $175.1 
 174.6 
 
 172 t 
 195 6 
 195.9 
 
 191.0 
 
 1916 
 
 1917 
 
 1918 
 
 1919. 
 
 186.8 
 190. 8 
 211.9 
 
 ':. i 7 
 
 1920' 
 
 
 a Annual Reports of the Commissioner of Pensions. 
 
 b Interpolated. 
 
 cU. S. Census, Financial Statistics of States (1915, p. 90; 1916, p. 92; 1918, p. 90; 
 1919, p. 84). 
 
 <*U. S. Census, Financial Statistics of Cities (1911, p. 191; 1912, p. 201; 1915, p. L93; 
 1917, p. 207; 1918, p. 191). 
 
 « Data not available. 
 
 § 23e. The Rental Value of Homes Owned by Their Occupants 
 
 The Census of 1910 reports the number of homes, excluding farm homes 
 (which are taken up in Chapter 24 under farmers' incomes), as 14,131 .'. , !■">.' 
 Of these, 3,408, S~>1 were owned unencumbered, 1,701,002 were owned on- 
 cumbered, and 135,404 were not reported in regard to the question of 
 
 1 Census of Population, 1910, p. 1294.
 
 292 
 
 THE ESTIMATE BY INCOMES RECEIVED 
 
 encumbrance. The remaining eight million homes were presumably rented, 
 and the income accruing from these rentals is included under other head- 
 ings. Owing to the lack of later information, it has been necessary to as- 
 sume for purposes of computation, that the number of homes owned in- 
 creased since 1910 in the same ratio as the general population. The 
 amount of encumbrance has been placed at one-third the total value, an 
 estimate arrived at after consultation with a number of real estate experts. 
 
 The present estimate is concerned only with homes owned by those 
 having incomes under $2,000, and it is therefore necessary to subtract 
 from the total number those homes owned by persons having more than 
 $2,000 per year. Here we enter the realm of pure conjecture, but it appears 
 likely that the major portion of all homes were owned by persons with 
 incomes under $2,000 — say 3 million of the homes owned unencumbered 
 and one and a half million of the homes owned encumbered. The best 
 that can be said of an estimate made by such a method is that the error is a 
 constant one, and that the total is not a large factor in the entire national 
 income. 
 
 The question of deciding on an estimate for average rental is almost 
 equally hazardous, but here there is some statistical basis for the estimate 
 made. One method is to ascertain as nearly as we can the proportion of 
 total income that is spent on house rent, and assume that the owner derives 
 this proportion of his income from the use of his home. According to the 
 results of the cost of living survey made by the Bureau of Labor in 1918 to 
 1919, 13.4 per cent of the total average yearly expenses per family or 12.6 
 per cent of total average family income, was paid for rent. 1 
 
 Other estimates of the proportion of expenditure for shelter to all expen- 
 ses for consumption goods are as follows : — 
 
 TABLE 23K 
 
 PERCENTAGE OF INCOME EXPENDED FOR SHELTER <* 
 
 Authority 
 
 Date 
 
 Number of 
 families 
 
 Place 
 
 Percentage 
 
 U. S. Bureau of Labor Statistics . . 
 U. S. Bureau of Labor Statistics . . 
 U. S. Bureau of Labor Statistics . . 
 U. S. Railroad Wage Commission 
 Dallas, Texas Wage Commission. . 
 R. C. Chapin income $1000-$1099 
 
 1901 
 1917 
 1917 
 1915 
 1917 
 1907 
 
 11,156 
 
 60S 
 
 512 
 
 265 
 
 50 
 
 31 
 
 U.S. 
 
 New York 
 Phila., Pa. 
 U.S. 
 
 Dallas, Texas 
 New York 
 
 18.12 
 12.91 
 12.04 
 20.00 
 14.51 
 18.01 
 
 Average, weighted according to number of families 17.65 
 
 a National Industrial Conference Board, Report No. 9, p. 4. 
 
 1 Monthly Labor Review, August, 1919, p. 118. This investigation covered 12,096 families 
 in 92 industrial renters. 
 
 
 ,*
 
 TOTAL INCOME PERSONS HAVING UNDER $2,000 293 
 
 The average, 17.G5 per cent, shown in table 23K, is the proportion which 
 the National Industrial Conference Board accepts in its studies of the cost 
 of living. It will be seen, however, that the system of weighting gives great 
 prominence to the investigation of 1901 by the Bureau of Labor Statist ics, 
 and that all but one of the later investigations, though more restricted in 
 their scope, show a lower percentage of total income spent for rem . 
 
 What probably happened was that the proportion of rent to the total 
 income decreased during the decade; — at least until 1918. For the year 
 1910, therefore, the composite figure of the National Industrial Conference 
 Board is perhaps preferable to the lower ratio of rent found in 1918 to 1919 
 by the Bureau of Labor Statistics. The average family income in 1910 
 was about S1200, 1 and 17.65 per cent of this gives $211.80. But a further 
 reduction must be made; not all rent is to be considered as net income to 
 the recipient. About 40 per cent of the rent goes for various expenses of 
 upkeep, repair, taxes, etc., leaving perhaps 60 per cent as net return. This 
 would leave $147.08 — or say, $150.00 as the average amount which home 
 owners received as income from their homes in 1910, based on this method 
 of computation. 
 
 The average rentals in 91 localities paid by families having an income 
 between $1200 and $1500 per year is reported in the Monthly Labor 
 Review as $174 per year. 2 Since these families varied in income and size a 
 further study was made of families of five having an income of $1300, 
 and the average amount of rent was found to be $167 per year. 
 
 The average rental paid in 1920 in 92 cities by laboring families is given 
 in the Monthly Labor Review} It is stated that "families who live in 
 houses or apartments owned by themselves, and families living in houses 
 or apartments where either heat or light or both are included in the rent, 
 have been omitted." This is therefore a selected sample from which the 
 higher ranges of income are excluded. The average rent of $167.79 may 
 accordingly be considered the low limit, for 1920. This figure should be 
 compared with an indicated rent of $219 for 1920, which is found by apply- 
 ing the average of the index numbers of the National Industrial Conference 
 Board and the Bureau of Labor Statistics (Table 23L) to the basic average 
 rent of $150 in 1910. 
 
 If, then, $150 per year is accepted as an average figure in 1910 for the 
 income received from homes by their owners, and this is combined with 
 the conjectured number of homes, the total income in that year was about 
 $600 million. This should be increased by an index number indicating 
 changes in rents, and for this purpose the average of the indices computed 
 
 i Estimated from total income under $2,000 and number of families. 
 
 2 Monthly Labor Rerinv, September, 1019, pages 9 to 30. This survey was made under 
 the direction of Dr. W. F. Ogburn. 
 
 s Monthly Labor Review, September, 1920, pages 84 to 91.
 
 294 
 
 THE ESTIMATE BY INCOMES RECEIVED 
 
 by the National Industrial Conference Board and the Bureau of Labor 
 Statistics is used. The final results show a total income from this source 
 varying from $600 to about .$900 million. 
 
 TABLE 23L 
 
 RENTAL VALUE OF HOMES OWNED BY OCCUPANTS HAVING INCOMES 
 
 UNDER $2,000 
 
 1910 to 1920 
 
 
 I 
 
 II 
 
 III 
 
 IV 
 
 Year 
 
 Index numbers of house rents 
 
 Estimated 
 
 Bureau of 
 Labor Sta- 
 tistics a 
 
 National 
 Industrial 
 Conference 
 
 Board b 
 
 Average 
 
 rental value 
 of homes owned 
 by occupants d 
 
 1910 
 
 Per cent 
 
 100 
 100 
 101 . 5 
 102.3 
 101 
 105 
 114 f 
 134.9c 
 
 Per cent 
 
 100 
 
 100 
 
 100 
 
 101.5 
 
 105 
 
 115 
 
 128 
 
 158 
 
 Per cent 
 
 100 
 
 100 
 
 100.8 
 
 101.9 
 
 103 
 
 110 
 
 121 
 
 146.5 
 
 Million dollars 
 
 $600 e 
 
 1911 
 
 600 e 
 
 1912 
 
 600 e 
 
 1913 
 
 600 
 
 1014 
 
 IKK) 
 
 1916 
 
 1917 
 
 1918 
 
 (ill.-, 
 
 611 
 618 
 660 
 
 1919 
 
 1920. 
 
 726 
 
 879 
 
 
 
 a Monthly Labor Review, October, 1920, p. 65. These studies are based on 18 cities 
 from 1914 to December, 1917, and thereafter on 31 cities. Prior to 1919, the figures 
 are given for December, and are interpolated for July. 
 
 b Report No. 30, September, 1920. These studies are based on reports from 359 
 agencies in 158 cities. The figures are for July of each year. 
 
 c Figures for June. 
 
 d For estimate — $600 million — see text. This amount is projected by Column III. 
 
 e Estimated. 
 
 § 23f. Income from Investments 
 
 The most obvious method of estimating income from investments is to 
 find what proportion it normally bears to total income. This may be done 
 in several ways and the results compared. 
 
 The first method is to prolong the curve made from income-tax data to 
 show the relation between income from investment and income from per- 
 sonal ('Minings to include the lower ranges. This curve, however, is defect- 
 ive in two ways: (1) It is necessary to class all "business income" as per- 
 sonal earnings, on the ground that it is due to effort and only differs from 
 personal earnings in its contractual nature. (2) This curve tells us what 
 
 W
 
 TOTAL INCOME PERSONS HAVING UNDER 82,000 295 
 
 arc the probable personal earnings given any sized income, and not the 
 probable income given any particular earnings. Were the correlation 
 perfect, this form of statement would make no difference; but unfortu- 
 nately the correlation is unknown, and the original data are not in such 
 shape that they can be turned into a different form. 
 
 This curve taken at its face value indicates that personal earnings 
 should be increased as follows, in order to arrive at total incomes of indi- 
 viduals: 
 
 TABLE 23M 
 
 RELATION BETWEEN PERSONAL EARNINGS AND TOTAL INCOME 
 INDICATED BY INCOME-TAX DATA 
 
 1918 
 
 Average personal earnings Average total income 
 
 82,000 $2,215 
 
 1,800 1,960 
 
 1,600 1,713 
 
 1,400 1,480 
 
 1,200 1,245 
 
 1,000 1,023 
 
 800 811 
 
 600 603 
 
 100 401 
 
 200 200 
 
 It is clear that this curve cannot be projected more than a short distance, 
 say to SI, 500, before it loses all semblance of reality. The most, therefore, 
 that can be said, is that less than 13 per cent (the amount reported by the 
 Bureau of Internal Revenue in its lowest range, 82, 000-83,000) and proba- 
 bly not over 10 per cent of the incomes below 82,000 are due to invest- 
 ments of one kind or another. 
 
 Further light is cast on this question by a sample of 12,090 family 
 incomes well scattered in regard to area which were collected by the Bu- 
 reau of Labor Statistics in 1919. This summary shows the percentage 
 relation of total income to total earnings for the entire range of incomes 
 from "under 8900" to "over 82,500," thus considerably overlapping the 
 income tax class. These relations are as shown on page 296. 
 
 It will be seen that no definite trend is indicated towards a larger per- 
 centage of income from investments with the rise in incomes. Such <liu;ht 
 increase, as there is, does not approach the 13 per cent of the $2,000- 
 83,000 class reported by the Statistics of Income. However, it is stated that 
 the effort made in collecting these data was to exclude families which
 
 290 
 
 THE ESTIMATE BY INCOMES RECEIVED 
 
 received any considerable portion of their income from sources other than 
 the husbands' earnings. It is, therefore, to be expected that the propor- 
 tion of income from investments will normally be higher than that shown 
 in this sample, and that 33^ to 4 per cent may therefore safely be regarded 
 as a minimum figure. 
 
 TABLE 23N 
 
 PERCENTAGE OF TOTAL INCOME TO TOTAL EARNINGS 
 
 (Based on a sample of 12,096 families a) 
 
 Income in dollars 
 
 Under $900. . . 
 
 $900-1,200 
 
 1,200-1,500. . . 
 1,500-1,800. . . 
 1,800-2,100. . . 
 2,100-2,500. . . 
 2,500 and over . 
 
 White families 
 
 Colored families 
 
 103.96 
 
 103.37 
 
 103.65 
 
 103.86 
 
 103.84 
 
 104 . 93 
 
 104.15 
 
 104.67 
 
 103.82 
 
 108.72 
 
 105.15 
 
 104.98 
 
 103.95 
 
 100 49 
 
 a Monthly Labor Review, December, 1919, pp. 40-41. 
 
 The total incomes of 1,602 school teachers in five cities were reported as 
 $1,645,400 in 1913. ] These incomes were analyzed in regard to their 
 sources, and it was found that $1,552,040 came from salaries, and $92,820 
 from investments. The latter is 5.98 per cent of the former. 
 
 In arriving at a decision as to the percentages to be used, the limits were 
 taken as between 4 per cent and 10 per cent. The former is known to be 
 low. The latter rests on questionable assumptions. In view of the fact 
 that the modal income is placed at a figure below $1,000 and that there is 
 probably some relation between income from wages and income from prop- 
 erty, it is believed that no great error can be involved in adding 6 per cent 
 to personal earnings in order to arrive at the total income of persons of the 
 group under $2,000. 2 
 
 The results of this computation are shown in the following table: 
 
 1 Report of the Committee on Teachers' Salaries and Cost of Living, 1913. 
 
 2 Bowley, The Division of the Product of Industry, page 14, estimates the total " earned " 
 in England below £160 to be £1,046 million and the total "unearned " income below £160 
 to be £50 million, or about 5 per cent. 
 
 <*
 
 TOTAL INCOME PERSONS HAVING UNDER 82,000 
 
 297 
 
 TABLE 230 
 
 AMOUNT RECEIVED FROM INVESTMENTS BY ALL PERSONS HAVING 
 
 INCOMES UNDER $2,000 
 
 1910 to 1920 
 (Millions of dollars) 
 
 Year 
 
 Personal earnings 
 
 Estimated income 
 from investments 
 
 1910 
 
 $13,711 
 14,311 
 14,971 
 15,458 
 15,462 
 
 15,717 
 18,294 
 21.179 
 
 27,777 
 29,882 
 33,020 
 
 $ 823 
 
 1911 . 
 
 859 
 
 1912 
 
 1913 
 
 S9X 
 927 
 
 1914 
 
 1915 
 
 928 
 943 
 
 1916. . 
 
 1,098 
 
 1917 
 
 1,271 
 
 1918 
 
 1919 
 
 1,667 
 
 1,793 
 
 1920 
 
 1,981 
 

 
 CHAPTER 24 
 FARMERS' INCOME 
 
 § 24a. Introduction 
 
 The information concerning farmers' income is fragmentary, but suffi- 
 cient in volume to justify the hope of attaining a fairly accurate estimate. 
 Before this estimate is presented certain peculiarities of farmers' incomes 
 and of the data concerning them must be mentioned. 
 
 (1) There is no other industry in which non-monetary income makes so 
 large a proportion of the total as in farming. Besides the rental values of 
 the farm homes occupied by owners, we must count in the value of the 
 food and fuel which farmers produce for their own consumption. 
 
 (2) Usually the farmer is not only a producer but also a land speculator. 
 Indeed, it is rather upon the increase in the value of his land than upon the 
 sale of his produce that the farmer rests whatever hope he cherishes of 
 growing rich. How large the growth in land values is appears from the 
 Censuses of 1900 and 1910, which report an increase in the value of farm 
 lands of $15 billion in addition to an increase of $5 billion in the value of 
 farm buildings, machinery, and live stock. 1 Fifteen billions for all farms in 
 ten years means an average annual increase in the value of each farm 
 amounting to $323. In the decade covered by our estimates the average 
 increase must have been much larger, because of the great rise in the prices 
 of farm lands which culminated in 1920. 2 When a farmer realizes a profit 
 by selling his land at an enhanced price, that profit constitutes income to 
 him as an individual. But gains of this kind do not constitute income to 
 the nation as a whole, except in so far as the increased farm values arise 
 from such improvements as are made by clearing, fencing, draining, irrigat- 
 ing or fertilizing land. The nation gained no increase of useful goods 
 from marking up the price of its farm lands in 1919-20 and lost no useful 
 goods from marking them down again in 1920-21. Hence we make no 
 effort to estimate the profits and losses which fanners make from fluctu- 
 ations in land values. 
 
 (3) Of course farmers obtain some income from other sources than the 
 
 i Needless to say, these official figures have a wide margin of error. In particular, figures 
 for land values and the value put upon buildings are unsatisfactory, especially in areas of 
 decreasing farm population. In such districts, the selling values of the farms are often less 
 than the cost of the buildings alone. 
 
 ^ These figures have since been reported, and show an increase of land values from 
 $28,475 million to $54,830 million. 
 
 298 

 
 FARMERS' INCOME 299 
 
 cultivation of their own farms. Their share in the income from tax- 
 exempt securities has been included under thai heading and musl not be 
 counted again here. But another item of importance to farmers must be 
 allowed for — the money they make by doing work for others. How much 
 these earnings amount to can be calculated only in the roughest maimer. 
 The few small samples of farmers' incomes which covet- this point indicate 
 outside earnings varying between $48 and SI 17 per year per farmer. On 
 this basis the aggregate outside earnings of all farmers run between one- 
 quarter and three-quarters of a billion annually. 
 
 Concerning sources of information, it should be noted that income-tax 
 returns are of little help in estimating farmers' incomes. In 1916 when the 
 exemption limit was $3,000, only 14,407 of the six and a half million fanners 
 filed tax returns. Since that year the tax returns have not been classified 
 by occupations. In 1917, however, there was reported net income of 
 $806,163,957 from "agriculture and animal husbandry," divided among 
 251,838 returns. In 1918 (the latest date for which detailed statistics 
 have been published), the corresponding figures were $1,122,532,163 and 
 372,336. ' The reasons why so small a proportion of the farmers figure in 
 these returns even in a prosperous year are clear. As a class, farmers 
 belong among the small business men with average incomes not much in 
 excess of the average earnings of adult male wage-earners. Further, of 
 these modest incomes a considerable part is in form not subject to taxa- 
 tion — the rental value of their owned homes, the food and fuel they pro- 
 duce for themselves. Finally, small business men with incomes near the 
 exemption limit, especially men who do not keep accurate accounts, prob- 
 ably evade more extensively than any other class the obligation to make 
 tax returns. 
 
 The basic data upon which all estimates of farmers' incomes must rest 
 are the Department of Agriculture's annual statements of the gross value 
 of agricultural produce. These figures for 1910-20 are shown in Table 
 24A. Their chief defect is that they contain a vast amount of duplica- 
 tion. Crops fed to live stock are counted twice, first as the value of the 
 crops themselves, second in the value of the live stock. "Feeders" from 
 the ranges are counted once when sold by the ranchman and again when 
 sold as fat stock. The chief problem is to ascertain the amount of this 
 duplication year by year. 
 
 The violent price fluctuations of 1916-20 give rise to special difficulties 
 in piecing together the fragmentary data which come from different years. 
 Of the increase; in the gross wealth produced on farms according to Table 
 24A— an increase from $9 billion in 1910 to $25 billion in 1919— much the 
 
 'The 1919 Statistics of Income has since been published. It shows 118,945 businesses 
 under "Agriculture and related industries," with a total net income of $ 1,211,260,562.
 
 300 
 
 THE ESTIMATE BY INCOMES RECEIVED 
 
 TABLE 24A 
 
 THE NUMBER OF FARMS AND THE GROSS WEALTH PRODUCED 
 
 ANNUALLY 
 
 1910 to 1920 
 
 Year 
 
 1910. 
 1911. 
 1912. 
 1913. 
 
 1914. 
 
 1915. 
 1910. 
 1917. 
 1918. 
 1919. 
 1920. 
 
 Number of farms a 
 (Thousands) 
 
 6,362 
 6,371 
 6,380 
 6,388 
 6,396 
 
 6,405 
 6,414 
 6,423 
 6,432 
 6,441 
 6,450 
 
 Gross wealth 
 produced on farms b 
 (Millions of dollars) 
 
 $ 9,037 
 8,819 
 9,343 
 9,850 
 9,895 
 
 10,774 
 13,406 
 19,331 
 22,479 
 24,961 
 19,856 
 
 a Figures for 1910 and 1920 are from an advance bulletin of the Bureau of the Census, 
 entitled Number of Farms by States and Counties, 1920. Other figures are interpolated 
 along a straight line. 
 
 A "farm" for census purposes is all the land which is directly farmed by one person 
 managing and conducting agricultural operations, either by his own labor alone or 
 with the assistance of members of his household or hired employees. The term "agri- 
 cultural operations" is used as a general term referring to the work of growing crops, 
 producing other agricultural products, and raising animals, fowls, and bees. A "faim" 
 as thus defined may consist of a single tract of land or of a number of separate and 
 distinct tracts, and these several tracts may be held under different tenures, as where 
 one tract is owned by the farmer and another tract is hired by him. Further, when a 
 landowner has one or more tenants, renters, croppers, or managers, the land operated 
 by each is considered a "farm." Abstract of the Census, 1910, p. 265, footnote 1. 
 
 b Statistical Abstract of the U. S. 1919, p. 183. Duplication of animals and grain fed 
 to animals is included. 
 
 greater part represents merely a change in monetary values. The wholesale- 
 price index numbers compiled by the Bureau of Labor Statistics show 
 that the prices of farm products rose from 100 in 1914 to 234 in 1919, or 
 somewhat faster than the general price level, for which the corresponding 
 figures are 100 and 212. * But not all of the increase was of this nominal 
 character. The index numbers of the physical volume of agricultural out- 
 put, recently made by Professors E. E. Day and W. W. Stewart, agree in 
 showing that, with the sharp oscillations characteristic of farming, the 
 volume of goods produced was increasing during the decade. 
 
 § 24b. First Estimate — Based on Total Production and Expenses 
 
 Dr. E. A. Goldenweiser 2 has attempted to estimate the proportions by 
 which the "gross value of wealth produced on farms" reported by the 
 
 i Monthli/ Labor Review, February, 1921, pp. 44, 45. 
 2 American Economic Review, March, 1916. 
 
 S
 
 FARMERS' INCOME 
 
 301 
 
 TABLE 24B 
 
 INDICES OF PHYSICAL PRODUCTION FOR AGRICULTURE 
 
 Base, Dav, 1909-1913 = 100 « 
 Stewart, 1911-1913 = 100'; 
 
 Year 
 
 Day 
 
 Stewart 
 
 Year 
 
 Day 
 
 Stewart 
 
 1909 
 
 95 
 
 95 
 
 1915 
 
 113.4 
 
 116 
 
 1910 
 
 99.1 
 
 98 
 
 1910 
 
 100.4 
 
 101 
 
 1911 
 
 94.1 
 
 93 
 
 1917 
 
 108.5 
 
 110 
 
 1912 
 
 111 
 
 111 
 
 1918 
 
 107.1 
 
 ins 
 
 1913 
 
 98.2 
 
 96 
 
 1919 
 
 110.6 
 
 112 
 
 1914 
 
 108.5 
 
 108 
 
 1920 
 
 115.6 
 
 
 ° Review of Economic Statistics, Haivard Committee on Economic Research, Septem- 
 ber, 1920, p. 255. 
 b Annual Proceedings of the American Economic Association, December, 1920. 
 
 Department of Agriculture should be changed in order to arrive at the net 
 value production of farms. In so doing, he has decreased the total amount 
 reported by the value of food crops fed to animals and has increased it by 
 the value of the produce of the farm which is directly consumed by the 
 farmers' families. In this way, he has arrived at the figure for farmers' 
 incomes in 1909 shown on page 302. 
 
 These figures were based on the returns of the Census of 1910, supple- 
 mented by the estimates of W. J. Spillman 1 and W. C. Funk. 2 The value 
 of crops for 1909 is reduced by the amount fed to live stock (com, oats. 
 barley, hay, and forage, kafir com, emmer, and spelt, totalling $2,786 
 million) except the amount actually sold (8509 million) and corn consumed 
 by the family ($40 million). 
 
 The values of house rent, and of food and fuel consumed are based on 
 Mr. Funk's estimate, which was made up by visiting and going over the 
 monetary affairs of 483 farmers in 10 well scattered localities. In this esti- 
 mate, Mr. Funk arrived at a total figure of 8421 per family/ 5 but since the 
 census enumerators are believed to have allowed for a certain portion of 
 pork and beef, vegetables and fruits consumed by the farm family (esti- 
 mated at $161), he reduced this original total of 8421 per family to $260. 
 
 The expenditures are mostly based on census returns: 8(551 million for 
 hired labor, $115 million for fertilizers, $300 million for feed, and $840 
 
 i Bulletin, July 19, 1913, The Farmers' Income, by W. J. Spillman, Agriculturist, Office of 
 Farm Management. 
 
 2 U. S. Department of Agriculture, Farmers' Bulletin No. (V-in. December, 1914. 
 
 3 The Cornell Bureau of Farm Management found the average value of products furnished 
 by 692 farms in New York State in 1919 to be $449.02. This figure excludes rent, and is 
 thus fairly comparable at relative prices to the amount used in the text. The deduction 
 for duplicate census figuring in the Cornell investigation is about l'o per cent, which leads 
 to the belief that Funk's deduction for duplication is ample.
 
 302 
 
 THE ESTIMATE BY INCOMES RECEIVED 
 
 TABLE 24C 
 
 INCOME AND EXPENDITURES OF THE AVERAGE FARMER <* 
 
 1909 
 
 Items 
 
 Total 
 
 Per farm 
 
 Income: 
 
 Value of crops b 
 
 Value of live stock products c . . 
 
 $3,250,359,348 
 1,124,678,632 
 
 1,833,151,031 
 
 1,653,934,100 
 
 $511 
 177 
 
 Value of animals sold and animals slaughtered on 
 
 farms . 
 
 288 
 
 Value of house rent and of food and fuel consumed 1 >y 
 family and not reported by Census (estimated) 
 
 260 
 
 Gross earnings of farm and farm family 
 
 $7,862,123,111 
 
 $1,236 
 
 
 
 Expenditures: d 
 
 Labor, fertilizers, feed, seed (estimated), threshing 
 (estimated), animals purchased, taxes (estimated), 
 
 and miscellaneous 
 
 Maintenance charges (buildings, equipment, machin- 
 ery, etc.) 
 
 $2,750,344,281 
 505,979,322 
 
 $ 432 
 80 
 
 
 
 Total Expenditures . . 
 
 $3,256,323,603 
 
 $512 
 
 
 
 Net earnings of farm and farm family 
 
 $4,605,799,508 
 2,049,148,628 
 
 $724 
 
 Interest at 5 per cent on value of farm property 
 
 (earnings of farm) 
 
 322 
 
 
 
 Earnings of farm family. ... 
 
 $2,556,650,880 
 
 $402 
 
 
 
 a The Farmer's Income by E. A. Goldenwciser, American Economic Review, March, 
 1916, p. 42. 
 
 b Exclusive of crops fed to live-stock on home farms. 
 
 c Including dairy products (except milk and cream consumed on the farm) poultry, 
 honey and wax, and wool and mohair. 
 
 d Exclusive of value of unpaid family labor. 
 
 million for animals purchased. In addition, seed and threshing are esti- 
 mated at $290 million, taxes and maintenance of buildings and implements, 
 and miscellaneous expenses at $1,061 million, making a total of $3,256 
 million or $512 per farm. No elaborate estimate is made of the interest 
 on mortgages, but a probable amount of $34 per farm is ventured in the 
 text. 
 
 If the proportions which Dr. Goldenweiser found be accepted for the 
 moment, and applied to the following years, and due allowance be made for 
 the increase in the total number of farms and changes in prices and costs, 
 then the approximation to incomes of farm families shown in Table 24D 
 can be made. 
 
 The total value of crops (Column I) is taken from the annual reports of 
 the Department of Agriculture, and this amount has been reduced to 60 
 
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 304 THE ESTIMATE BY INCOMES RECEIVED 
 
 per cent of its reported value (Column II), in order to eliminate that 
 part of the crop which was fed to live stock, and which, therefore, appears 
 under the heading "Value of Animals" (Column IV). 
 
 The value of animal products (Column III) is reported in the Census of 
 1909, and certain items included have been reported in the Census of 1914 
 and the advance sheets of 1919. For the intercensal years, the amounts 
 have been supplied by the Department of Agriculture. 1 These amounts, 
 however, do not check closely in detail with the Census figures. For exam- 
 ple, the Department figure for daily products in 1919 showed an increase 
 of 360 per cent over 1909, while the Census figures indicated an increase 
 of only about 300 per cent. The Department of Agriculture's figure for 
 poultry and eggs shows an increase in 1919 over 1909 of 267 per cent, 
 whereas the advance sheets of the Census indicate an increase of only 
 about 200 or 210 per cent. Assuming that the Census figures are more 
 accurate than the estimates of the Department of Agriculture, which are 
 admittedly rough, it has been concluded from these indications that the 
 Department's figures are from 12 to 22 per cent too high. They have 
 accordingly been reduced by 17 per cent. 
 
 The amount of correction to be applied for the value of animals is dubi- 
 ous (Column IV). Some duplication exists in the valuation of animals, 
 owing to re-sales of live stock. This has been placed rather arbitrarily at 
 one-fourth the reported value of animals, an amount which is indicated by 
 unpublished samples available in the Bureau of Farm Economics. Data 
 on this head were collected for the Census of 1910, but some doubt was 
 thrown on their accuracy, and they have not been published. 
 
 The value of food, fuel, and house rent (Column VI) is based on the orig- 
 inal amount of $260 per farm taken from Dr. Goldenweiser, and multi- 
 plied by an index number. 2 This series is made up of the Bureau of 
 Labor Statistics index number of wholesale prices of farm products and 
 fuel, 3 weighted in the proportion of 7 to l. 4 The index number is further 
 adjusted to take into account the increase in the number of farms. 
 
 The total cost of production (Column VIII) is taken from Dr. Golden- 
 weiser 's estimate for 1910 and extended over later years by an index num- 
 ber constructed as follows: The figures for 1911, 1912, and 1913 are mul- 
 tiplied by the Bureau of Labor Statistics' index number for wholesale 
 prices, and by the variations in acreage. For 1914 to 1918, the index num- 
 bers compiled by the War Industries Board in its History of Prices during 
 the War were used for the separate items of expense, i. e., feed and forage, 
 live stock, meats and fats, and fertilizers. These series ceased with 1918, 
 
 1 Office Table No. 423, Department of Agriculture. 
 
 - No comparative data for rents of farm dwellings are available. 
 
 3 Monthly Labor Review, June, 1920, p. 69. 
 
 * W. C. Funk, Farmers' Bulletin No. 635, p. 5.
 
 FARMERS' INCOME 305 
 
 and the 1919 and 1920 amounts are arrived at by applying the relative 
 change in wholesale prices of the Bureau of Labor Statistics. An index 
 number for farm labor was computed from the quotations of the Depart- 
 ment of Agriculture; Miscellaneous and Maintenance, Expenses, Seed and 
 Threshing were multiplied by the Bureau of Labor Statistics index number 
 of wholesale prices, together with the variations in acreage. 
 
 The total amount of farm mortgages (Column IX) in 1910 was reported 
 at SI, 726, 172,851, l and as this is known to be but a partial return, an ap- 
 proximation of $2 billion has been ventured. Interest is estimated at 6 
 per cent. For 1919, the total of farm mortgages is estimated at 
 $3,598,985,000, by James B. Morman, 2 and 84 billion is used as a round 
 sum. The amounts for the intervening years are interpolated. 
 
 The amount of rent paid by tenant farmers (Column X) is found by the 
 following method: 840.9 billion is taken as the value of all farm property in 
 1910. 3 Early returns of the Fourteenth Census indicate that the corre- 
 sponding amount is about 877.9 billion in 1920. The amounts for inter- 
 censal years have then been interpolated. The proportion of farm land 
 worked by tenants in 1910 was 273^ per cent, having a total value of 
 about $11 billion, 4 and this proportion was continued throughout. Finally, 
 the income of this land which goes to persons outside of agriculture was 
 estimated on a basis of 5 per cent of the reported value of the lands 
 worked by tenants as given in the Census. 
 
 § 24c. Second Method — Based on Average Ratio of Expenses to Total 
 
 Product 
 
 An unpublished study made by Professor G. P. Scoville, of Cornell 
 University, covering 2,784 farms in eight counties in New York State, for 
 the years 1908 to 1918, indicates that (a) the value of total crops raised on 
 farms at the prices for which crops were sold, is roughly equal to (b) the 
 total income from the sale of crops and live stock, including gains and 
 losses in live stock inventory, and to (c) the total gross income, including 
 gain or loss in farm capital and miscellaneous returns. The exact aver- 
 ages for these three items are respectively 81,744, 81,770, and si.ss<), 
 giving a grand average of $1,803. The average cash expenses per farm/' 
 about $930, 6 were somewhat over one-half of the average amount < >f 81 ,s< ).'». 
 
 ■ Census 1910, Vol. 5, p. 162, Table 6. 
 
 2 The Place of Agriculture in Reconstruction, p. 319. 
 
 3 Abstract of the Census, 1910, p. 281. 
 
 1 Abstract of the Census, 1910, p. 2S5, shows L'-'0, 000,000 acres worked by tenants as against 
 598,000,000 acres by owners. 
 
 5 Does not include unpaid family labor. 
 
 6 This relationship of expenses to gross sales is corroborated by the Statistics of Inc 
 1917, p. 10. These data refer to business incomes, from agriculture and animals, which 
 "represent only such amounts reported by individuals as were derived from business opera- 
 tions and do not necessarily indicate the principal occupations of, or the total incomes re- 
 ported by, the persons making the returns." The number of returns is 251,838, the gross
 
 306 THE ESTIMATE BY INCOMES RECEIVED 
 
 or 513^ per cent. If a generalization of farmers' incomes be attempted on 
 this basis, then the net income is in each case slightly less than one-half of 
 the Department of Agriculture's figures for gross value of agricultural pro- 
 duction. The data collected are too scattered to permit of any generaliza- 
 tion in regard to variations of costs during any particular year of this 
 period. 
 
 That this relation of expenses to gross wealth produced is somewhat 
 too low for the country at large is indicated by other samples. A study 
 of 500 farms in Sumter County, Georgia, 1 indicates that the proportion 
 of farm expenses to farm receipts on a cash basis ranges from 55 to 65 per 
 cent. In the Indiana area, the expenses constitute from 40 to 50 per cent 
 of the farm receipts not including the farmer's own labor. 1 A pamphlet 
 entitled Farm Business in New Hampshire,- shows average" earnings for 
 303 farms in all parts of the State to be $3,290, and the average expenses to 
 be $1,968, or 59 per cent. This, however, is not strictly comparable with 
 Professor Scoville's estimate, since it does not include grain fed to animals 
 among the expenses. 
 
 A fair result will presumably be reached by deducting 55 per cent of 
 the gross value produced for expenses. 
 
 That the rise in costs has been somewhat less in proportion than the rise 
 in the value of product is indicated by the following table. The first 
 column is a statement of relative costs from data covering 185 farms in 
 Wisconsin, Ohio, and Indiana collected by the United States Office of 
 Farm Management. The second column is a similar statement of relative 
 costs from data for two counties in Illinois, as ascertained by the Depart- 
 ment of Farm Organization and Management of the University of Illi- 
 nois. The third column is the index number of the United States Bureau 
 of Labor Statistics for prices of farm products in cities. Since the price in 
 cities is not the vital consideration with the farmer, an unweighted index 
 number of 31 farm products on the farm is also shown in Column IV. 
 
 We may therefore conclude that the results found by taking farm expen- 
 ses at 55 per cent of the Department of Agriculture's estimate of wealth 
 produced on farms will not tend to be relatively high for the latter half of 
 the decade in comparison to the first half. This, however, will not hold 
 true in all sections of the country, for prices of different classes of product 
 increased in different ratios. Conditions in different parts of the country 
 vary so greatly that every generalization must be taken with a grain of 
 salt. 
 
 sales are $1,622,907,759, the business expenses are $816,743,s()2, and the net income is $806,- 
 163,957. The two are thus approximately equal, bearing out the relationship in so far as 
 the "total income from the sale of crops and live stock" is concerned. 
 
 J Unpublished data of the Bureau of Farm Economics. 
 
 2 By A. B. Genung, Farm Management Demonstrator, 1920. 
 
 S
 
 FARMERS' INCOME 
 TABLE 24E 
 
 307 
 
 RELATIVE INCREASE OF FARM EXPENSES AND PRICKS OF FARM 
 
 PRODUCTS 
 
 
 I 
 
 II 
 
 III 
 
 IV 
 
 Yeai 
 
 Relative cost 
 
 of farming in 
 
 Wisconsin, Ohio 
 
 and Indiana a 
 
 Relative cosl 
 
 of farming in 
 
 two counties 
 
 in Illinois 6 
 
 Index number 
 of market 
 
 pi ices of 
 farm producl 
 
 Index number 
 of prices of 
 
 fann products 
 on farm d 
 
 1913 
 
 1914 
 
 100 
 108 
 111 
 118 
 
 148 
 193 
 
 100 
 90 
 95 
 
 100 
 
 120 
 136 
 142 
 
 100 
 103 
 105 
 
 122 
 
 189 
 220 
 234 
 218 
 
 100 
 105 
 
 1915 
 
 1916 
 
 1917 
 
 1918 
 
 1919 
 
 1920 
 
 107 
 128 
 
 L95 
 
 210 
 213 
 
 216 
 
 a Unpublished data of the U. S. Bureau of Farm Management. 
 
 t> Figures furnished by University of Illinois, Department of Farm Organization and 
 Management. The comparability of these cost figures with those collected by the 
 U. S. Department of Agriculture has been questioned. 
 
 c Monthly Labor Review, February, 1921, p. 45, U. S. Bureau of Labor Statistics 
 index number. 
 
 ''These data were supplied by Professor G. F. Warren, and converted into index 
 numbers. 
 
 Application of the method suggested yields the following results for each 
 
 year: 
 
 TABLE 24F 
 
 ESTIMATE OF FARMERS' INCOMES 
 
 (Based on 45 per cent of the total value of farm production reported by the 
 
 Department of Agriculture) 
 
 (Millions of Dollars) 
 
 Year 
 
 Total value of 
 farm production " 
 
 45 per cent of 
 gross total value 
 
 1910 
 
 S 9,037 
 8,S19 
 9,343 
 9,850 
 
 9,895 
 10.771 
 13,406 
 19,331 
 
 22,479 
 24,961 
 19,856 
 
 S 4.0<»7 
 3,969 
 
 1911 
 
 1912 
 
 1,204 
 4,432 
 
 1913 
 
 1914 
 
 4,453 
 
 4,819 
 6,033 
 8,699 
 
 10 lltl 
 
 1915 
 
 1916 
 
 1917 
 
 1918 
 
 1919. . . . 
 
 11 232 
 
 1920 
 
 8,935 
 
 
 « Statistical Abstract of U. S., 1919, p. is;;.
 
 :;ns 
 
 THE ESTIMATE BY INCOMES RECEIVED 
 
 § 24d. Third Estimate — Based on Sample Incomes 
 
 A third method of attack is suggested by unpublished data collected by 
 the Bureau of Farm Economics, covering the distribution of labor income 
 among 11,000 farms in widely scattered parts of the country. In this 
 study, the years 1910 to 1915 were considered to represent substantially 
 uniform conditions, and so were the years 1916 to 1918. Samples from 
 different years in the first period were averaged together, and so also were 
 samples from different years in the second period. What are shown, 
 therefore, are rough averages covering these respective periods. For each 
 period, the percentages of all farms studied are grouped under the follow- 
 ing income ranges: 
 
 TABLE 24G 
 LABOR INCOME OF FARMERS a 
 
 1910 to 1915 
 
 Annual labor 
 income in dollars 
 
 $0-$500 . . . 
 500-1,000. . 
 1,000-1,500. 
 
 1,500-2,000. 
 2,000-2,500. 
 2,500-3,000. 
 
 3,000-4,000 . . 
 4,000-5,000 . . 
 5,000-10,000. 
 Over $10,000 . 
 
 Negative Income 
 
 0-500 
 
 500-1,000 
 
 1,000-1,500 
 
 1,500 and over. 
 
 Net Labor Income of All Farmers 
 
 Per cent of 
 total farmers 
 receiving in- 
 come named 
 
 36.5 
 17.7 
 
 7.4 
 
 3.4 
 15 
 1.0 
 
 1.0 
 
 .3 
 .4 
 .0 
 
 23.9 
 4.7 
 1.2 
 1.0 
 
 100.0 
 
 Total number 
 
 in each income 
 
 range (based 
 
 on 6,400,000 
 
 farmers) 
 
 2,336,000 
 
 1,132,800 
 
 473,600 
 
 217,600 
 96,000 
 64,000 
 
 64,000 
 19,200 
 25,600 
 
 1,529,600 
 
 300,800 
 
 76,800 
 
 64,000 
 
 6,400,000 
 
 Total labor 
 income 
 
 (Millions of 
 dollars) 
 
 $ 584 
 850 
 592 
 
 381 
 216 
 176 
 
 224 
 
 86 
 
 192 
 
 $3,301 
 
 Less 
 
 382 
 
 226 
 
 96 
 
 96 
 
 $800 
 
 $2,501 
 
 a This table is based on an unpublished distribution of 11,000 farmers' incomes made 
 by the U. S. Bureau of Farm Economics. "Labor Income" is denned as the amount 
 of income remaining after deducting all expenses including a 5 per cent return on the 
 estimated invested capital. 
 
 X
 
 FARMERS' INCOME 
 
 309 
 
 TABLE 24H 
 
 LABOR INCOME OF FARMERS 
 1916 to 1918 
 
 Annual labor income in dollars 
 
 $0-$500 
 
 500-1,000 
 
 1,000-1,500 
 
 1,500-2,000 
 
 2,000-2,500 
 
 2,500-3,000 
 
 3,000-4,000 
 
 4,000-5,000 
 
 5,000-10,000 
 
 Over 10,000 
 
 Negative Income 
 
 0-500 
 
 500-1,000 
 
 1,000-1,500 
 
 1,500 and over. . 
 
 Net Labor Income of All Farmers 
 
 Per cent of 
 total fanners 
 receiving in- 
 come named 
 
 2s li 
 19.9 
 10.9 
 
 6.1 
 4.6 
 2.6 
 
 3.1 
 1.3 
 
 1.8 
 .8 
 
 13.9 
 4.1 
 1.0 
 1.3 
 
 100.0 
 
 Total number 
 
 in each income 
 
 range (based 
 
 on 6,500,000 
 
 farmers ) 
 
 1,859,000 
 1,293,500 
 
 708,500 
 
 396,500 
 
 299,(101) 
 169,000 
 
 201,500 
 84,500 
 
 117,000 
 52,000 
 
 903,500 
 
 266,500 
 
 65,000 
 
 84,500 
 
 6,500,000 
 
 Total labor 
 income 
 
 Millions of 
 dollars) 
 
 165 
 
 970 
 ssO 
 
 694 
 (17:-! 
 165 
 
 705 
 380 
 
 877 
 520 
 
 sti, (>:;.") 
 
 Less 
 
 226 
 
 200 
 
 81 
 
 127 
 
 S 634 
 
 S6.001 
 
 a See Note a, Table 24G. 
 
 When the percentages shown in each income group are applied to all the 
 farmers in the country, the results show an average total income for the 
 years 1910 to 1915 of $2y 2 billion and for the years 1916 to 1918 of $6 
 billion. 
 
 The rental value of land owned by farmers, which is deducted by the 
 Bureau of Farm Management before arriving at its figure for labor income, 
 may be estimated from the following facts: In 1910, the total value of 
 farms was $40 billion and of this operators owned 72^ per cent , or about 
 $29 billion. 1 Five per cent of this amount is $1,450 million, which after 
 deducting $200 million for interest on mortgages, leave- $1,250 million, 
 which may be added as a rough total to the 1910 to 1915 estimate. The 
 
 1 It seems to be generally true that the most valuable farms in the North arc worked by 
 tenants. This, however, is not true (if farms worked by negro tenants in the South. The 
 percentage value of farms will not, therefore, coincide exactly with the percentage <>f acreage, 
 though the amount of error is uncertain on account of the variation of conditions in different 
 parts of the country.
 
 310 
 
 THE ESTIMATE BY INCOMES RECEIVED 
 
 1916 to 1918 figure would be somewhat larger; perhaps $2 billion would 
 not be out of the way. The estimate of the value of farm property for 
 1920 has not yet been published. 1 
 
 The total average annual farm production thus arrived at is therefore 
 as follows: 
 
 Period 
 
 1910 to 1915. 
 1916 to 1918. 
 
 Average annual 
 labor income 
 
 Average annual 
 
 income from 
 
 property 
 
 Total income 
 of farmers 
 
 (Billions of dollars) 
 
 82' 2 
 6 
 
 8 
 
 § 24e. Final Estimate of Farmers' Incomes 
 
 When the three estimates are placed alongside of each other, they are 
 seen to be fairly comparable in general trend. In order to compare the 
 results of the first and second methods with those of the third method, the 
 averages of the corresponding years have been computed. These averages 
 have been weighted in accordance with the number of cases taken from 
 each year in arriving at the results shown by the third method. The 
 figures obtained by the three methods are thus made strictly comparable. 
 It will be seen that this comparison confirms the general results found by 
 the first and second methods. All three methods show a marked rise in 
 monetary incomes between the periods 1910 to 1915 and 1916 to 1918. 
 
 The final estimate of farmers' incomes, as shown in Table, 24J, is 
 based on a combination of the results arrived at by the three methods. 
 Where there is a considerable discrepancy, the figures found by the first 
 method are given greater weight. In addition, from $200 to $300 million 
 has been included to take care of the "outside income" which many 
 farmers earn. The results are given in terms of billions of dollars, for they 
 cannot claim to be more than a careful approximation. 
 
 § 24f. Comparison with Other Estimates 
 
 Mr. W. R. Ingalls, 2 arrives at $5,200 millions for farmers' incomes in 
 1916, but he has deducted $2,800 millions for farm laborers, a figure much 
 larger than that used here. If the estimate for farm labor be added to the 
 amount found as income of farmers in 1916, our result is about $7,300 
 millions as against Mr. Ingalls' $8 billions. It is believed his estimate of 
 expenses other than cost of labor paid is somewhat too low. Mr. W. I. 
 
 'It has since been placed at $77.9 billion in an advance bulletin of the Census of 1920. 
 "-Labor, the Holder of the Nation's Wealth and Income, New York Times Annalist, Septem- 
 ber 13, 20, and 27, 1920. 
 
 S
 
 FARMERS' INCOME 
 
 311 
 
 TABLE 241 
 
 COMPARISON OF TOTAL FARMERS' INC( >MES AS FOUND BY THE THREE 
 
 METHODS EMPLOYED 
 
 1910 to 1920 
 (Billions of Dollars) 
 
 
 I 
 
 II 
 
 III 
 
 Year 
 
 Fiist 
 method a 
 
 Weighted 
 average 
 
 Second 
 
 method & 
 
 Weighted 
 
 average 
 
 Third 
 method <= 
 
 1910 
 
 1911 
 
 1912 
 
 1913 
 
 1914 
 
 1915 
 
 1916 
 
 1917 
 
 1918 
 
 1919 
 
 1920 
 
 $ 3.772 
 3.517 
 3.770 
 4.029 
 4.020 
 4.485 
 
 5.758 
 
 8.811 
 
 10.407 
 
 10.497 
 6.931 
 
 ■ 
 
 3.93 
 • 7.69 
 
 4.067 
 3.969 
 4.204 
 4.432 
 4.453 
 4.849 
 
 6.033 
 
 8.699 
 
 10.116 
 
 11.232 
 
 8.935 
 
 1 
 
 4.33 
 
 ■ 7.72 
 
 3.75 
 8.00 
 
 a See Table 24D. Based on an estimate of gross income and expenses of farmers. 
 
 b See Table 24F. Based on deduction of expenses (55 per cent of total produce) 
 from the Department of Agriculture's estimate of gross wealth produced on farms. 
 
 cSee Tables 24G and 2411 and text, p. 310. Based on 11,000 samples of the labor 
 income of farmers plus property income. 
 
 TABLE 24J 
 
 FINAL ESTIMATE OF THE TOTAL INCOME OF FARMERS 
 
 1910 to 1920 
 (Billions of Dollars) 
 
 1910. . 
 
 S3 . 95 
 
 1911 
 
 3 70 
 
 1912. . . 
 
 4 . 00 
 
 1913. , 
 
 4 . 20 
 
 191 1. 
 
 4.20 
 
 1915. , 
 
 . "4.70 
 
 1916 
 
 5.80 
 
 1917. . . 
 
 8.80 
 
 1918 
 
 10.45 
 
 1919 
 
 ... 10 . 85 
 
 1920 . 
 
 7 20 
 

 
 312 
 
 THE ESTIMATE BY INCOMES RECEIVED 
 
 King's estimate for 1910 given in the Wealth and Income of the People of 
 I 'tiikd States 1 was $6,842 millions, and this included the income of farm 
 laborers. Even when a deduction is made for the latter item, the esti- 
 mate appears too high, and Mr. King's recent investigations, aided by 
 more complete evidence, lead him to believe that the amount should be 
 reduced. Mr. H. A. Wallace 2 has made a similar computation, based on 
 the "ratio" method. This computation is based on the assumptions that 
 crops are sold as crops, and not as live stock, and that live stock is taken 
 into consideration solely as the form in which pasture is marketed. These 
 assumptions make his results somewhat too low. But his relative increase 
 in 1917, 1918, and 1919 is somewhat greater than ours, though the general 
 trend of his figures is the same. He generously states in a letter : "I have 
 dug into this matter sufficiently so that I think in the main your figures 
 are accurate." The annual farmers' income, according to his figures, is as 
 follows: 
 
 (Millions of Dollars) 
 
 1909 
 1910 
 1911 
 1912 
 
 $3,570 
 3,070 
 3,140 
 3,440 
 
 1913. 
 1914. 
 1915. 
 1916. 
 
 $3,585 
 3,600 
 4,000 
 5,700 
 
 1917 
 1918 
 1919 
 1920 
 
 $9,210 
 8,900 
 9 400 
 3,900 
 
 § 24g. Farmers Having Incomes Over and Under $2,000 
 
 Finally, how many farmers had incomes over and under $2,000, and 
 what did their total incomes in each of these classes amount to? These 
 figures must be found, in order that they may be carried back to complete 
 the estimates of Chapters 22 and 23. 
 
 The only basis for drawing the $2,000 line through our totals is a sample 
 for 1918 of 401 farmers' incomes furnished by Professor G. P. Scoville of 
 the New York State College of Agriculture. While this is a small sample, 
 it is the only one that was found which gives actual income. The assump- 
 tion implicit is not that these farmers' incomes are typical of the entire 
 country, but that the distribution of income among them is typical. The 
 average income of these 401 farmers in 1918 was $1,481, whereas the aver- 
 age income of all farmers in the same year was $1,625. This fact, however, 
 does not invalidate the hypothesis that the distribution shown by the 
 sample was typical. Such comparisons as it has been possible to make 
 with the larger number of 11,000 labor incomes, shown in Tables 24G and 
 24H, after making an allowance for farm income, tend to justify the use 
 of this distribution. On this assumption, the probable division of number 
 
 i Page 138. 
 
 2 Agricultural Prices, pp. 57-61. 
 
 1*
 
 FARMERS' INCOME 
 
 313 
 
 of farmers and amount of farmers' incomes by the 82,000 line for each year 
 is as follows: 
 
 TABLE 24K 
 
 NUMBER OF FARMERS HAVING INCOMES OVER AND UNDER S2.000, 
 AND THE TOTAL AMOUNT OF THESE INCOMES 
 
 
 I 
 
 II 
 
 III 
 
 IV 
 
 V 
 
 VI 
 
 Year 
 
 Total 
 
 Over $2,000 
 
 Under §2,000 
 
 
 Number 
 of farmers 
 (Thou- 
 sands) 
 
 Total 
 
 income 
 
 (Billions) 
 
 Number 
 of farmers 
 (Thou- 
 sands) 
 
 Amount 
 of income 
 (Billions) 
 
 Number 
 
 of farmers 
 (Thou- 
 sands) 
 
 Amount 
 
 of income 
 
 (Billions) 
 
 1910 
 1911 
 1912 
 1913 
 
 1914 
 1915 
 1916 
 1917 
 
 1918 
 1919 
 1920 
 
 6,362 
 6,371 
 6,380 
 6,388 
 
 6,396 
 6,405 
 6,414 
 6,423 
 
 6,432 
 6,441 
 6,450 
 
 $ 3.95 
 3.70 
 4.00 
 4.20 
 
 4.20 
 4.70 
 5.80 
 8.80 
 
 10.45 
 
 10.85 
 
 7.20 
 
 111 
 
 79 
 
 111 
 
 143 
 
 144 
 
 208 
 
 448 
 
 1,313 
 
 1,861 
 
 2,008 
 
 804 
 
 $ .258 
 .182 
 .262 
 .340 
 
 .340 
 
 .516 
 
 1.179 
 
 3.886 
 
 5.784 
 6.298 
 2.261 
 
 6,251 
 6,292 
 
 6,269 
 6,245 
 
 6,252 
 
 6.197 
 5,966 
 5,110 
 
 4,571 
 4,433 
 
 5,646 
 
 $3,692 
 3.518 
 3.738 
 3.860 
 
 3.860 
 4.184 
 4.621 
 4.914 
 
 4.666 
 4 . 552 
 4.939
 
 CHAPTER 25 
 
 CORPORATE SURPLUS 
 
 § 25a. Definition of Corporate Surplus 
 
 Corporations do not generally pay out their entire earnings to their 
 stockholders. Even after reserves for losses, depreciation, insurance, etc., 
 have been made, it is still true that earnings ought to be in general 
 greater than dividends. The excess of earnings over dividends after 
 specific reserves have been set aside constitutes corporation surplus. 
 Such retained earnings are generally put back into the business, though 
 they may be invested otherwise. 1 
 
 § 25b. The Propriety of Counting Surplus as Part of the National Income 
 
 Should these corporation surpluses be included as part of the National 
 Income? It must be remembered that these surpluses are computed after 
 the deduction of reserves for depreciation, taxes, bad debts, insurance and 
 a variety of ascertained losses. To the corporations they are therefore a 
 book income, and normally are used to ensure regularity in payment of 
 dividends and for an expansion of their business. 
 
 In the accounting practice of corporations, surplus may be used for 
 scaling down the value of intangible assets, for conversion into stock which 
 is distributed in the form of dividends, or it may simply be continued as 
 a surplus account.- Indeed, it might be possible to distribute the entire 
 earnings of a corporation and finance expansion by means of new stock 
 issues. But the trend of American business policy is towards the main- 
 tenance of dividends in years of low profits as well as high. 3 This attempt 
 at maintenance of dividends demands a conservative policy in years of 
 high profits and a daring distribution of cash in the lean years. Such a 
 policy can be maintained, therefore, only when there is in good years a 
 
 1 The distinction between dividends and surplus is not necessary in treating private busi- 
 ness and partnerships, for in the income-tax returns used here the entire earnings are in- 
 cludi d in the incomes of the individuals owning the business. 
 
 2 The Income Tax decision in McCombe v. Eisner (252 U. S. 189), involved the question 
 whether a stock dividend should be considered income. The basic assumption was that a 
 corporation was an entity, and therefore the definition of income hinged on the legal separation 
 of its assets and their ownership by individuals. From an economic point of view, income 
 must be considered as far as possible to accrue at the time of its receipt by the party earning 
 it — either corporation or individual. Owing to the form in which most of the data are pre- 
 sented, income is regarded as accruing only when it is received by the individual, but the 
 fact thai so much of our business enterprise is in corporate form makes it necessary to recog- 
 nize corporate surplus as a separate item. 
 
 English practice tends towards a larger and more varying distribution of corporate earn- 
 ings in the form of dividends. 
 
 314 

 
 CORPORATE SURPLUS 315 
 
 considerable margin between earnings and dividends. In many cases 
 dividends in lean years are paid wholly or partly out of surplus, which 
 is the first shock-absorber (after reserves) of business adversity. The 
 fact that dividends and other losses are taken out of surplus in years of 
 depression means that this surplus was actually earned in years of pros- 
 perity. An accurate accounting of the National Income year by year 
 should bring out these real variations in corporate earnings. To take no 
 cognizance of their rise and fall would create a false impression of the uni- 
 formity of income over years of depression and years of expansion. 
 
 During the years 1920 and 1921, we have seen in many corporations 
 not only a lack of surplus but even a deficit which wiped out a part, or 
 more than all, of the surplus accumulated in previous years. This devel- 
 opment, however, does not mean that the surplus had not been real income 
 in the years in which it was gathered. On the contrary, the later loss con- 
 firms the reality of the surplus accumulated in preceding years. Clearly 
 an accurate statement of the National Income year by year should take 
 into consideration both the surpluses of prosperous years and the deficits 
 of periods of depression. It might well happen that the accounting of 
 "corporate surplus" in any year might yield a net "corporate deficit." 
 
 § 25c. The Genuineness of Reported Surplus Accounts 
 
 In some form, then, corporate surplus constitutes an element in the 
 National Income. Whether it should be considered on an equal footing 
 with the income actually distributed as dividends to individuals, or 
 whether it should be shown as contingent income, is another question. 
 If it were the general practice of corporations to carry adequate * reserves 
 and if the entire net income were normally distributed as dividends, then 
 there could be no question that the entire net incomes of corporations 
 (including what is now generally carried as surplus) should be counted on 
 the same basis as all other income. If, however, the general reserves of 
 corporations are normally insufficient, and if surpluses are wholly or mainly 
 absorbed in meeting unforeseen business losses, then they too should be 
 treated as reserve, or at least contingent income, subject to later disposal. 
 They could not be treated as actual income until the business situation 
 had so developed as to make possible an approximation of the extent of 
 these losses. 2 
 
 This brings up the question whether the surplus accounts of corpora- 
 tions represent a true increase of assets or merely a reserve account against 
 
 ■It is assumed that reserves are rarely too lar^c to meet current losses. Any excess of 
 reserves above current losses manifestly makes the surplus as reported too small by a like 
 amount. 
 
 Broadly, the reserves of corporations are at least as adequate as those of individuals and 
 partnerships engaged in business. Incidentally, I do not think sufficient weight has been 
 given to the net losses, or negative income of the latter. J. E. Sterrett.
 
 31G THE ESTIMATE BY INCOMES RECEIVED 
 
 unexpected losses. 1 Individual examples of both kinds are common, and 
 extraordinary changes in the price level further complicate the problem 
 of bookkeeping values. If it could be shown that physical production did 
 or did not normally increase with the increase of invested capital through 
 the growth of the surplus account, the problem whether the surplus account 
 represented an increase of assets or a reserve which is normally wiped out 
 by losses could be answered. But the measurement of physical produc- 
 tion presents the difficulty that very few business enterprises turn out a 
 single standardized article over a series of years. One must therefore turn 
 to the money value of the product, remembering however (a) that changes 
 in money value do not represent changes in physical production during a 
 period of price change, and (b) that money value is apt to misrepresent 
 physical product if new assets are put into labor-saving devices. In the 
 latter case it often happens that while the total product is not increased, 
 the labor cost is decreased and the profit increased. 
 
 If surplus is correctly reported, an increase in surplus should lead to a 
 corresponding increase in physical production after these two factors have 
 been allowed for. However, the increase in physical production should 
 not be in proportion to the increase in surplus but in proportion to the in- 
 crease in capital plus surplus. In other words, if surplus be bona fide, its 
 effects upon production, when it is put into the business, should be similar 
 to the effects of new capital. 
 
 The question then is, whether physical productivity tends to vary di- 
 rectly as the capital plus surplus shown on the books. An attempt has been 
 made to answer this question. The corporations whose capital plus sur- 
 plus and physical productivity were examined included all for which com- 
 parable statistics were obtainable during the whole period chosen for 
 investigation. The years 1905 to 1914 were chosen for several reasons, 
 one of the most important of which was that no violent price movements 
 occurred. 
 
 The method used was to break the decade into two five-year periods, 
 1905 to 1909 and 1910 to 1914, and then compare changes in capital plus 
 surplus from the average of the first five-year period to the average of the 
 second five-year period, with corresponding changes in physical produc- 
 tion from the first period to the second. 
 
 1 It is suggested that the real question is not whether surpluses are used as reserves or to 
 expand the business or for some other purpose, but whether the inventories at the different 
 dates correspond to actual market values or are merely fictitious figures. There is no known 
 way of testing this correspondence other than to take a broad view of the actual results of 
 business operations over a period of years. To attain such a view is the aim of the following 
 discussion. 
 
 With the conclusions drawn here compare the evidence adduced by Dr. David Friday 
 (Profits, Wages, and Prices, p. 63) from a group of 4,508 corporations which were listed in 
 Corporate Earnings and Government Revenues, Senate Document No. 259, 65th Congress, 2nd 
 Session. His compilations show that their invested capital was 182 per cent of their capital 
 stock.
 
 CORPORATE SURPLUS 317 
 
 Physical productivity not being directly measureable, money indices 
 were used. The disturbing effect of price movements would seem to be 
 small in this period. Average prices of 1910 to 191 t were about 9 per cenl 
 above the average of 1905 to 1909. 1 
 
 The money indices of physical production used were net earnings, gross 
 earnings, net profits, total sales. 
 
 The corporations and the two variables examined in each case are as 
 follows : — 2 
 
 1. Twenty-five public utilities, (a) capital plus surplus and (b) net 
 earnings. 
 
 2. Twenty-six public utilities, (a) capital plus surplus and (b) gross 
 earnings. 
 
 3. Twenty-four industrial companies, (a) capital plus surplus and (b) 
 net profits. 
 
 4. Fifteen industrial companies, (a) capital plus surplus and (b) total 
 sales. 
 
 5. Thirty-nine industrial companies, (a) capital plus surplus and (b) 
 net profits. 
 
 In each case a straight line was fitted to the widely-scattered points 
 representing the two variables in the case of each company by the method 
 of least squares, and the results are shown in the following diagram. If 
 the volume of business had increased in exactly the same ratio as capital 
 plus surplus, then on these diagrams the straight lines fitted to the points 
 would all have an inclination of 45 degrees. To show how nearly the plot- 
 ted lines correspond to this condition, a dotted 45 degree line has been 
 inserted in the diagrams. 
 
 Though no single example can be considered conclusive, the grouping of 
 all the lines around the 45 degree line indicates a close relation between the 
 growth of assets through reinvested surplus and the growth of production. 
 
 A further test is suggested by the Census figures for primary horse- 
 power and capital used in manufacturing. The data are for the years 
 1904 and 1914. 3 Both figures, especially the 1 amounts for capital, are faulty, 
 and too great reliance should not be placed on them. Yet they suggest a 
 close relation between the growth of capital (including surplus) and the 
 growth of productive power. Moreover, the index of productive power is 
 in this case not monetary. 4 
 
 1 Bulletin of U. S. Bureau of Labor Statistics, No. 181, p. 16. 
 
 2 These samples were taken from the reports in Moody's Manual and supplemented by 
 the corporate records furnished by two large banks. There is some overlapping of samples, 
 especially between items 1 and 2, anil .'5 and 1 
 
 3 The 191!) figures are not yet available, and when they do become available will be af- 
 fected by price flueutations in such degree as to make them of little value for the present 
 purpose. 
 
 4 The question is raised whether horsepower can be taken as a constant factor for purposes 
 of this computation during the period covered. If the value product per horsepower remained 
 constant, then it is a good criterion.
 
 ,318 
 
 THE ESTIMATE BY INCOMES RECEIVED 
 
 80 
 
 70 
 
 60" 
 
 o 
 
 O 
 
 I 
 
 o 
 
 
 O 
 
 o 
 
 50 
 
 40- 
 
 30 
 
 20 
 
 6 
 
 ■p 
 
 VI 
 
 o 
 
 o 
 
 CO 
 
 a) 
 <D 
 U 
 o 
 
 a 10 
 S 
 
 1 
 o 
 
 CHART 25 A 
 
 RELATIVE CHANGES IN PRODUCT 
 CORRESPONDING TO RELATIVE 
 CHANGES IN INVESTED CAPITAL 
 (Different Samples measured 
 by Different Criteria) 
 
 ..—THEORETICAL LINE - 45 DEGREES 
 
 (l) PUBLIC UTILITIES. Invested Capital and 
 Grosa Earnings , ly » l.OtixJ 
 
 (2) INDUSTRIALS. I nvested Capital and 
 Bef Profits . Ty = l.Ofax) 
 
 (3) PUBLIC UTILITIES. Invested Capital and 
 Net Earnings , ly s l«05x) 
 
 (4) INDUSTRIALS. Invested Capital and 
 Net Profits , ly = ,?Vx) 
 
 (5) INDUSTRIALS. Invested Capital and 
 Total Sales , (y = .?0x) 
 
 10 20 30 40 50 60 70 
 
 Percentage Inorease of Capital for 1910-14 over 1905-09. 
 
 80 
 
 The figures for 1904 were reduced to a basis of 100, and the relative 
 increases or decreases for 1914 have been plotted. These relations repre- 
 sent data from 24 industries (including 19,279 establishments) and seem 
 typical of the whole. The equation of the least square straight line 
 through the origin is y = .842 x. Here capital values are growing at a 
 slightly higher rate than the productive powers which they represent. 
 If the relation were such that horsepower varied directly as capital 
 plus surplus, the equation would become y=x. 
 
 The straight line fitted to the data of the accompanying chart comes 
 much closer to the theoretical line y = x, if an adjustment is made in capi- 
 tal plus surplus to offset the rise in prices from 1904 to 1914. x Though such 
 adjustment for the complete change in prices undoubtedly is too great, 
 owing to the fact that the rise in investment prices was not as rapid as that 
 
 ■ Bulletin No. 226, U. S. Bureau of Labor Statistics, p. 28. 
 
 S
 
 CORPORATE SURPLUS 
 
 319 
 
 200 
 
 o 
 
 u 
 
 o 
 
 
 100- 
 
 60 
 
 -t-> 
 
 s 
 
 V 
 
 o 
 
 CHART 25 B 
 
 RELATIVE CHANGES IN PRIMARY HORSEPOWER 
 CORRESPONDING TO RELATIVE CHANGES IN 
 INVESTED CAPITAL. 
 
 (24 INDUSTRIES). 
 
 THEORETICAL LINE 45 (y s x) 
 
 (1) STRAIGHT LINE FITTED TO DATA (y z .842x) 
 
 (2) STRAIGHT LINE FITTED TO DATA AFTER ADJUST- 
 MENT FOR PRICE CHANGES. (y ; . ?62x) 
 
 1 
 100 
 
 200 
 
 Percentage Increase In Capital plus Surplus for 1914 over 1904. 
 
 in the index used — namely, wholesale prices, there is no doubt that 
 some adjustment is needed. The true relation lies between the two 
 lines. 
 
 While these results may be tentatively accepted for the pre-war 
 period, the further question is raised as to their validity since 1914. 
 Are we to include the large surplus accounts of recent years in the 
 National Income? 
 
 Several considerations must be taken into account: 
 
 (1) The rise in prices which brought about a lessened physical product 
 per dollar for the invested surpluses of these later years. 
 
 (2) The increased replacement value of fixed capital assets and inven- 
 tories. 
 
 (3) The increased demand for certain products during the war. which 
 demand fell off after its close.
 
 320 THE ESTIMATE BY INCOMES RECEIVED 
 
 (4) The increased income and excess profits taxes. 
 
 These considerations affect our attitude toward the bookkeeping meth- 
 ods employed. The actual amounts of expenses, reserves, surplus, and 
 dividends shown in the books are subject to wide variation according to 
 the judgment of accountants and business men. It follows from the pre- 
 ceding argument that prior to 1914, the reserves set up against specific 
 uncertainties were normally sufficient to cover the greater part of the un- 
 foreseen losses which occurred in business, since in a broad sense the sur- 
 plus financed a roughly proportionate increase in the volume of new busi- 
 ness transacted. 
 
 Did American business men, operating under the stress of all the forces 
 of uncertainty after 1914, abandon their conservative policy of deducting 
 reserves adequate to cover current losses and carry as surplus that which 
 should really be considered a reserve account? The answer to this ques- 
 tion cannot be found by mathematical treatment. The items are too 
 complex and interwoven to permit of separation. There were, during 1920, 
 many striking cases of writing off of surplus accounts owing to the unfore- 
 seen large depreciation in values; but as already said, that fact does not 
 invalidate the genuineness of the surpluses during the years when they 
 were accumulated. On the other hand, there have been a large number of 
 instances of stock dividends, which converted the surplus account into a 
 capital account. These conversions suggest that the two accounts are 
 generically similar and capable of being interchanged. 
 
 When the enormous deterrent to the writing up of profits interposed by 
 high taxes is considered, the burden of proof seems to lie upon those who 
 would consider the reported surplus as fictitious at the time it is earned. 
 That there have been certain unfortunate investments is clear, but the 
 strength which has been shown by many corporations during the recent 
 depression bears testimony to the general adequacy of reserve accounts. 
 Moreover, capital values were not generally written up during the war 
 owing to the higher replacement costs. In old enterprises inflated costs 
 only affected new investments and inventories. The losses which were 
 taken in 1921 by many corporations were commonly taken care of in the 
 balance sheet by reducing surplus. This situation should be shown in the 
 figures, when they are available, for that year. 
 
 Opinions regarding the adequacy of reserves are affected in large meas- 
 ure by personal environment. The experiences of individuals with those 
 concerns about which they have special information influence their judg- 
 ment in making wider generalizations, and individual experiences 
 vary. After consultations with a number of men, whose positions are 
 such as to give them a broad view of business policies, the conclusion 
 has been reached that between 80 and 90 per cent of the reported
 
 CORPORATE SURPLUS 321 
 
 surplus constitutes a genuine saving, and hence is a part of the National 
 Income. 1,2 
 
 § 25d. The Data 
 
 The Bureau of Internal Revenue reports the total net earnings of cor- 
 porations in the volumes entitled Statistics of Income for the years 1916, 
 1917, and 1918. For the years 1909 to 1913 total earnings are given in the 
 annual reports of the Commissioner of Internal Revenue. For the years 
 1914 and 1915 they are not given but may be estimated from the amount 
 of the tax. 
 
 These data, however, are not comparable without adjustments. During 
 the period 1909 to 1912, corporations paid taxes only on their actual earn- 
 ings, not including such sums as they received from stock ownership in 
 other corporations. This practice was changed in the period 1913 to 1917, 
 when the tax was collected on all the net income of a corporation from 
 whatever source it might come. In 1918 there was a reversion to the 
 earlier practice. 
 
 This change in practice, however, has made little apparent difference 
 in the results. The percentage changes from year to year in the earnings 
 of all corporations have been compared with the percentage changes of the 
 earnings of the 205 sample corporations quoted elsewhere 3 and with the 
 251 corporations for which data were collected by Professor Friday. ' In 
 both these samples, earnings are estimated from year to year on a strictly 
 comparable basis. There is found to be no constant divergence from the 
 earnings of all corporations on which to base a correction for the change 
 in method of computing taxes. In 1913, compared with 1912, the net 
 earnings of all corporations reported by the Bureau of Internal Revenue 
 increased 13 per cent, the net earnings of the sample of 205 corporations 
 increased 9 per cent, and the sample of 251 corporations increased 
 6 per cent. In 1914 the decreases from 1912 in the three sets of data 
 were respectively 23 per cent, 18 per cent, and 19 per cent. In 1915 
 
 *In my paper in the Annalist (September 20, 1920), I expressed dissent from the hypothesis 
 that corporate surplus is wholly income and urged that what concerns us in the study of the 
 division of income is simply what is actually paid in dividends. 
 
 Without any doubt corporate surplus is in part utilized for additions to plant, but in part 
 it disappears, as experience has shown, simply in the maintenance of plant. Since the be- 
 ginning of the war a large part of the corporate surplus went into the provision of new plant 
 as a war measure, which plant must be thrown away and written off. During the war we 
 deluded ourselves with the idea that corporations were accumulating great surpluses that 
 were going to enable them to maintain their dividends indefinitely, but at the present time 
 that illusion is being dispelled. W. It. Ingalls. 
 
 2 This is doubtless true of ordinary times. The war period is another story. The tendency 
 throughout was to under rather than to overstate profits. The tax laws saw to that. The 
 tax laws did not allow reserves for future losses and conservative business judgment did not 
 anticipate a drop in price levels helow, say, that of 1914. Now, however, we have seen some 
 commodities crash down below the 1N00 level, — hides, notably. .1. E. Sterrett. 
 
 3 See Table 25 A, note d. 
 
 * David Friday, Profits, Wages and Prices, p. 17.
 
 322 THE ESTIMATE BY INCOMES RECEIVED 
 
 the increases over 1912 were respectively 28 per cent, 52 per cent, and 
 36 per cent. In 1916 the new influence on bookkeeping methods exerted 
 by the increase of the corporate tax rate to 2 per cent renders close com- 
 parisons with earlier years hazardous. As between the 1917 and 1918 
 data, when the method of computing corporate earnings was changed 
 again, the Internal Revenue figures for earnings fell about 22 per cent, as 
 against a fall in the two samples of 24 per cent and 10 per cent. 
 
 These comparisons lead one to believe that the inclusion or exclusion of 
 intercorporate dividends was not a factor of major importance in net earn- 
 ings. Other forces outweighed it to such an extent that its effect cannot 
 be ascertained from the available data. 
 
 Further, during the period 1909 to 1912, corporations having an income 
 of less than $5,000 per year were exempted from the tax. The removal of 
 this exemption in 1913 caused an increase in number of corporations pay- 
 ing taxes, of about 125,000. From this increase the probable earnings 
 of such corporations in the earlier years may be roughly approximated. 
 
 Another complication is that each year back taxes have been collected 
 after a field inspection of the books of selected corporations. The assess- 
 ment of these taxes indicates a considerable degree of under-reporting of 
 income, even in the years prior to 1916, when the tax rate was only 1 per 
 cent. Back taxes as high as $3 to $4 million were assessed for each year, 
 indicating an income of as many hundreds of millions or about 10 per 
 cent of the reported total. Even these field inspections are reported to 
 have been far from complete, owing to an inadequate staff. 
 
 The final amounts of corporate income estimated for each year are 
 shown in Column I of Table 25 A. 1 An independent check of the amounts 
 reported in back taxes in the annual reports of the Commissioner of In- 
 ternal Revenue 2 approximately verified these totals. 
 
 A classification of corporate earnings into financial, commercial, manu- 
 facturing, mining, public utility and railroad earnings has been given at 
 various times in the annual reports of the Commissioner of Internal Rev- 
 enue and in the Statistics of Income, and an effort has been made to com- 
 plete these classifications. But so many discrepancies have been found 
 in the amounts reported that a presentation of this material as if it were 
 comparable would be misleading. The attempt, therefore, to show in 
 detail the annual variations in the earnings of different classes of corpora- 
 tions has been given up. 
 
 From the reported net income are deducted taxes and deficits; these 
 are, for the most part, exact amounts. Thereafter, an adjustment is 
 made for known discrepancies in the reported net earnings, and these 
 
 » Statistics of Income for 1916, p. 15; for 1917 and 1918. 
 
 2 Commissioner of Internal Revenue, Annual Rcjiort, 1913, p. 505; 1914, p. 624; 1915, 
 p. 746; L916, p. 661; 1917, p. 773. 
 

 
 CORPORATE SURPLUS 323 
 
 amounts are then divided between dividends and surplus. This division 
 is made in accordance with the results of a study of 205 industrial corpora- 
 tions, 15 commercial corporations, 62 public utility corporations, the bank- 
 ing reports of the Comptroller of the Currency, and the railroad reports 
 of the Interstate Commerce Commission. 1 The division between divi- 
 dends and surplus as found in each of these samples has been weighted in 
 accordance with the relative amounts of the net earnings, and a weighted 
 average for each year has been applied to the estimated total earnings. 
 The results of these computations are presented in the following table: — 
 
 1 See footnotes, Table 25A, for detailed references.
 
 ' 
 
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 325 
 
 a Statistics of Income, 1916, p. 15. Originally reported in the Annual Reports of 
 Commissioner of Internal Revenue, 1911, pp. 70-80, 1912, pp. 74-S5, 1913, pp. 91-102, 
 1914, pp. 98-109. These figures cover the years 1910, 1911, 1912 and 1913. For 191 1 
 and 1915, there are no data. The totals are based on the amount of the tax, 1915, 
 pp. 188, 189, 1916, pp. 204, 205. 
 
 The years 1909, 1910, 1911 and 1912 an; obtained from data collected under the 
 excise tax, section 38 of the Act of August 5, 1909. This Acl permitted the deduction 
 of income received as dividends from other corporations, and also excluded income of 
 less than $5,000. The amounts for 1913 to 1917 are obtained from data collected under 
 the income-tax law of October 3, 1913, and subsequent income-tax laws, and included 
 all income of corporations, including specifically income received as dividends from 
 other corporations. The income-tax law for 1918 again permitted the deduction of 
 income received as dividends from other corporations. 
 
 The tax rate was increased in 1916 from 1 per cent to 2 per cent. (Act of September X, 
 1916.) For the year 1917, the rate was again increased (War Revenue Act of < >ctober 3, 
 1917) to a normal tax of 4 per cent, plus war excess-profits taxes. For 1917, see Statis- 
 tics of Income, 1917; for 1918, see Statistics of Income, 1918; for 1919, see Statistics of 
 Income, 1919. 
 
 b For the years 1916 to 1918, losses are reported in Statistics of Income. Prior to 
 1916 no such figures are given. A deduction for losses in the years prior to 1916 should 
 therefore be made. A comparison of the deficits reported in 1916 and 1917 with the 
 amounts of liabilities of enterprises that failed, reported in Dun's Review, suggests that 
 the liabilities were about 3.4 times the deficits. If this ratio is applied, then the losses 
 may be estimated as follows: 
 
 ESTIMATED DEFICITS OF CORPORATIONS HAVING NO NET INCOME 
 
 Year 
 
 Number of 
 
 commercial 
 
 failures 
 
 (Dun's) 
 
 Amount of 
 
 liabilities 
 
 (Dun's) 
 
 (Millions) 
 
 Number of 
 corporations 
 reporting no 
 
 income, or 
 actual deficit 
 
 Actual 
 amount of 
 
 deficit 
 (Millions) 
 
 Estimated 
 amount of 
 
 deficit 
 (Millions) 
 
 1910 
 
 1911 
 
 1912 
 
 1913 
 
 1914 
 
 1915 
 
 1916 
 
 1917 
 
 1918 
 
 1919 
 
 1920 
 
 12,652 
 13,441 
 15,452 
 16,037 
 
 18,280 
 22,156 
 16,993 
 
 13,885 
 9,982 
 6,451 
 8,881 
 
 $202 
 191 
 203 
 
 273 
 
 358 
 
 302 
 196 
 
 182 
 163 
 113 
 295 
 
 \"ot comparable 
 
 128,043 
 
 155,240 
 145,532 
 134,269 
 
 119,347 
 115,518 
 
 $ 
 
 657 
 
 630 
 690 
 996 
 
 $ 6S7 
 649 
 690 
 928 
 
 1,217 
 1,027 
 
 1,000 
 
 The total number of corporations reporting and the number reporting taxable income 
 are as follows:
 
 326 
 
 THE ESTIMATE BY INCOMES RECEIVED 
 
 
 Total 
 corporations 
 
 Number of corporations 
 reporting taxable income 
 
 
 Over $5,000 
 only 
 
 All corporations 
 
 Excluding 
 subsidiaries 
 
 1910 
 
 1911 
 
 1912 
 
 1913 
 
 270,202 
 
 288,352 
 305,336 
 
 316,909 
 329,445 
 336,443 
 
 341,253 
 351,426 
 317,579 
 320,198 
 
 54,040 
 55,129 
 61,116 
 
 188,886 
 174,205 
 190,911 
 
 206,984 
 232,079 
 
 
 1914 
 
 1915 
 
 1916 
 
 1917 
 
 
 1918 
 
 1919 
 
 1920 
 
 202,061 
 209,634 
 
 For the year 1915, it is reported (Statistics of Income, 1916, p. 15) that 30,000 corpora- 
 tions showing a deficit were included which should have been reported in 1914. This 
 correction is made in the Table above. 
 
 The decrease in 1918 is due to consolidated returns, and for this reason is not included 
 in computing the ratio between the losses reported for tax purposes and the failures 
 reported by Dun's Review. 
 
 c Raised by $400 million to account for earnings of corporations under $5,000 which 
 were not repotted. 
 
 d The following samples of net earnings of identical corporations were used for the 
 purposes of comparison: 
 
 EARNINGS OF IDENTICAL CORPORATIONS 
 
 (Millions of Dollars) 
 
 
 
 Professor 
 
 Earnings of 
 
 
 
 205 industrial 
 
 Friday's sample 
 
 national banks 
 
 Sample of 62 
 
 Year 
 
 corporations 
 
 of 251 
 corporations 
 
 (Comptroller of 
 Currency) 
 
 public utilities 
 
 1910 
 
 $ 383 
 
 $ 
 
 $154 
 
 $ 84 
 
 1911 
 
 347 
 
 459 
 
 157 
 
 81 
 
 1912 
 
 385 
 
 513 
 
 149 
 
 86 
 
 1913 
 
 420 
 
 542 
 
 161 
 
 86 
 
 1914 
 
 315 
 
 415 
 
 149 
 
 87 
 
 1915 
 
 585 
 
 699 
 
 127 
 
 103 
 
 1916 
 
 1,045 
 
 1,402 
 
 158 
 
 119 
 
 1917 
 
 1,032 
 
 1,774 
 
 194 
 
 101 
 
 1918 
 
 777 
 
 1,591 
 
 212 
 
 61 
 
 1919 
 
 671 
 
 
 240 
 
 55 
 
 1920 
 
 672 
 
 
 282 
 
 
 According to the samples of Industrials, the earnings for 1913 should be from 6 per 
 cent to 9 per cent higher than in 1912. The earnings for 1914 should be about 25 
 per cent less than in 1913. There was a large increase in 1915 over 1914 — about 70 
 per cent to 80 per cent. These figures are not to be taken as entirely typical, for rail- 
 roads and public utilities vary in different proportions. 
 
 e The proportions into which net earnings are divided between dividends and surplus, 
 according to samples, are as follows: 
 
 '*
 
 CORPORATE SURPLUS 
 
 327 
 
 PROPORTIONS INTO WHICH NET EARNINGS ARE DIVIDED BETWEEN 
 DIVIDENDS AND SURPLUS IN DIFFERENT INDUSTRIES 
 
 (Per cents) 
 (D = dividends; S = surplus) 
 
 Year 
 
 Finan- 
 cial' 
 
 Commer- 
 cial 2 
 
 Manufac- 
 turing and 
 mining 8 
 
 Pub 
 utiliti 
 
 lie 
 es ■ 
 
 Pail- 
 roads 5 
 
 Weighted 
 average 6 
 
 
 D 
 
 S 
 
 D 
 
 S 
 
 D S 
 
 D 
 
 S 
 
 D 
 
 S 
 
 D S 
 
 1910 
 
 69 
 73 
 
 31 
 
 27 
 
 55 
 63 
 
 45 
 37 
 
 55 45 
 63 37 
 
 61 
 
 68 
 
 39 
 
 32 
 
 62 
 
 72 
 
 38 
 28 
 
 58.8 41.2 
 
 1911 
 
 66 6 33.4 
 
 1912 
 
 81 
 
 19 
 
 67 
 
 33 
 
 67 33 
 
 73 
 
 27 
 
 82 
 
 Is 
 
 71.9 28.1 
 
 1913 
 
 74 
 
 26 
 
 67 
 
 33 
 
 67 33 
 
 74 
 
 26 
 
 73 
 
 27 
 
 69.5 30.5 
 
 1914 
 
 81 
 
 19 
 
 51 
 
 49 
 
 79 21 
 
 76 
 
 24 
 
 92 
 
 8 
 
 77.9 22.1 
 
 1915 
 
 89 
 
 11 
 
 44 
 
 56 
 
 45 55 
 
 67 
 
 33 
 
 86 
 
 14 
 
 56.2 43.8 
 
 1916 
 
 73 
 
 27 
 
 34 
 
 66 
 
 37 63 
 
 63 
 
 37 
 
 42 
 
 58 
 
 42.7 57.3 
 
 1917 
 
 65 
 
 35 
 
 41 
 
 59 
 
 47 53 
 
 75 
 
 25 
 
 52 
 
 Is 
 
 50.2 49.8 
 
 1918 
 
 61 
 
 39 
 
 49 
 
 51 
 
 55 45 
 
 87 
 
 13 
 
 65 
 
 35 
 
 56.9 43.1 
 
 1919 
 
 56 
 
 44 
 
 35 
 
 65 
 
 56 44 
 
 81 
 
 19 
 
 56 
 
 41 
 
 63.1 36.9 
 
 1920 
 
 52 
 
 48 
 
 
 
 64 36 
 
 74 
 
 26 
 
 46 
 
 54 
 
 65.0 35.0) 
 
 1 Based on National Banks. Reports of the Comptroller of the Currency. 
 
 2 Based on 15 commercial corporations reported in Moody's Manual from 1914 to 
 1919. Previous to 1914, reports are inadequate, and the manufacturing ratio is used. 
 
 3 Based on 200 corporations reported in Moody's Manual and supplied by certain 
 banking institutions. 
 
 4 Based on 62 public utility corporations reported in Moody' '.s Manual. 
 
 5 Based on reports of Interstate Commerce Commission and reports in Moody's 
 Manual covering practically all railroads. 
 
 6 In collecting the data on which Column VII is based, care has been taken to include 
 in surplus only those amounts actually carried as such in the books. In conformity 
 with this plan, special reserve accounts, reserves against bad debts, losses in inventory 
 and depreciation have been excluded. This same method was followed in the earlier 
 investigation of the genuineness of surplus accounts, so that the two computations 
 have been made on the same basis. 
 
 These percentages have been weighted according to the estimated importance of 
 each class of institutions, and the weighted average for each year is applied to the net 
 earnings. 1920 is an approximation, since complete data are lacking. 
 
 /The New York Journal of Commerce reports the following amounts of dividends 
 paid by industrial corporations each year. It does not explain how complete they 
 are or whether they cover identical corporations. They are inserted for purposes of 
 comparison.
 
 328 
 
 THE ESTIMATE BY INCOMES RECEIVED 
 
 
 Year 
 
 Dividends 
 
 (Millions of 
 
 dollars) 
 
 Index number 
 
 1911 
 
 
 $368 
 394 
 445 
 
 436 
 422 
 546 
 
 681 
 645 
 576 
 599 
 
 1 00 
 
 1912 
 
 1.07 
 
 1913. . . 
 
 1.21 
 
 1914 
 
 1.18 
 
 1915 
 
 1.14 
 
 1916 
 
 1.48 
 
 1917 
 
 1.85 
 
 1918 
 
 1.75 
 
 1919. 
 
 1.56 
 
 1920 
 
 1.63 
 
 
 
 These amounts are reported in the first issue of each year, giving three previous years. 
 The amounts reported for the same year are not always identical and the latest figure 
 reported has been taken. 
 
 a Professor Friday has made a similar computation of surplus (Profits, Wages and 
 Prices, p. 64) and it is of interest to compare his results with those given in this study: 
 
 COMPARISON OF PROFESSOR FRIDAY'S RESULTS WITH THOSE OF THE 
 
 BUREAU 
 
 (Millions of Dollars) 
 
 Year 
 
 1910 
 
 1911 
 
 1912. . . . 
 1913 
 
 1914 
 
 1915 
 
 1916. 
 
 1917 
 
 1918 
 
 1919. . . . 
 
 Total net earnings 
 
 Dividends 
 
 Surplus 
 
 Bureau 
 
 Friday 
 
 Bureau 
 
 Friday 
 
 Bureau 
 
 Friday 
 
 $3,436 
 3,219 
 3,819 
 4,000 
 
 $3,360 
 3,213 
 3,832 
 4,340 
 
 $2,020 
 2,144 
 2,746 
 
 2,780 
 
 $2,290 
 2,226 
 2,498 
 2,871 
 
 $1,416 
 1,075 
 1,073 
 1,220 
 
 $1,070 
 
 988 
 
 1,334 
 
 1,468 
 
 2,800 
 4,230 
 7,937 
 
 3,711 
 5,184 
 8,594 
 
 2,181 
 2,377 
 3,389 
 
 2,412 
 2,595 
 
 3,784 
 
 619 
 1,853 
 4,548 
 
 1,299 
 2,590 
 4,810 
 
 7,958 
 4,513 
 6,240 
 
 8,587 
 6,300 Est, 
 6,700 Est. 
 
 3,995 
 2,568 
 3,937 
 
 4,652 
 4,250 Est. 
 3,900 Est. 
 
 3,963 
 1,945 
 2,303 
 
 3,936 
 
 2,050 Est. 
 2,800 Est, 
 
 The main discrepancies are as follows: 
 
 Total net earnings differ, because Professor Friday has taken the published figures 
 without the emendations made by the Bureau and for which the reasons have been 
 discussed. This results in wide variations for 1913, although the percentages are quite 
 close. For 1914, Professor Friday's total is higher than the Bureau's, as is also his esti- 
 mate of surplus. The proportions are strikingly different, although the proportion 
 which Professor Friday quotes for industrials (Profits, Wages and Prices, p. 62) is very 
 close to that found in the sample of the Bureau. In the years 1916 and 1917, for which 
 better data exist, the two estimates are in close agreement, and for 1918, Professor 
 Friday made an advance estimate, whereas the Bureau has had the advantage of the 
 recently published statistics. 
 
 § 25e. Conclusions 
 
 If the corporate surpluses for each year are taken at 85 per cent of their 
 face value, which is about the amount justified by the considerations 
 
 S
 
 CORPORA'!'!: SURPLUS 
 
 329 
 
 previously mentioned, then the final corporate surplus, which is to be 
 eounted as part of the National Income, will stand as follows: 
 
 TABLE 25B 
 
 ESTIMATE OF ACTUAL SAVINGS IN THE FORM OF ( '< >RP( >RATE SURPLUS 
 
 1910 to 1920 
 (Millions of dollars) 
 
 Year 
 
 Corporate surplus" 
 
 1 Istimated actual 
 savings 
 
 1910 
 
 1911 
 
 $1,416 
 1,075 
 1,073 
 1,220 
 
 619 
 
 1,853 
 4,548 
 3,963 
 
 1,945 
 2,303 
 1,225 
 
 $1,204 
 914 
 
 1912 
 
 1913 : 
 
 1914 
 
 912 
 
 1,037 
 
 1915 
 
 1,575 
 
 1916 
 
 1917 
 
 1918 
 
 3,st)ii 
 3,369 
 
 1,653 
 
 1919 
 
 1920 
 
 1,958 
 
 1,011 
 
 « Table 25A.
 
 CHAPTER 26 
 
 SUMMARY OF PART II 
 
 § 26a. The Total Income of the United States, 19 10 to 1919 
 
 The total income of the United States, as computed in the preceding 
 sections, may now be summarized on page 331. 
 
 § 26b. The Degree of Error in the Estimate 
 
 It is advisable to repeat the caution that these amounts are all esti- 
 mates constructed from a large amount of data of varying reliability. 
 Table 26B shows first the range within which the income for each year 
 probably lies. This range was estimated in the same way that the math- 
 ematical "probable error" is computed, but it was not possible to do this, 
 in mathematical terms. It is, therefore, to be regarded simply as a 
 guessed at " probable error." Next, is shown the greatest error that 
 could be reasonably expected, on the assumption that each item varied 
 according to the widest indications from the figures as given, and that 
 all these variations were in the same direction. Thus is indicated the 
 outside limits within which the National Income must fall, if all the errors 
 judged possible by the Bureau have been committed, and committed with 
 no offsetting of one error by another. Evidently, the chances that this 
 has actually occurred are extremely small. 
 
 330
 
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 332 
 
 THE ESTIMATE BY INCOMES RECEIVED 
 TABLE 26B 
 
 THE RANGE WITHIN WHICH THE INCOME OF THE PEOPLE OF THE 
 
 UNITED STATES PROBABLY LIES 
 
 1910 to 1919 
 
 (Billions of dollars) 
 
 Year 
 
 Final 
 estimate 
 
 Probable range 
 
 within which the 
 
 actual income 
 
 falls 
 
 Estimated range 
 beyond which 
 actual income 
 
 cannot reasonably 
 lie 
 
 1910 
 
 31.2 
 31.1 
 32.4 
 33.5 
 
 32.7 
 35.9 
 45.7 
 54.1 
 
 62.0 
 
 66.8 
 
 30.0-32.4 
 29.8-32.4 
 31.1-33.7 
 32.2-34.8 
 
 31.4-34.0 
 34.6-37.2 
 44.3-47.1 
 52.5-55.6 
 
 60.1-63.5 
 64.2-68.5 
 
 25.9-36.5 
 
 191 1 
 
 25.9-36.3 
 
 1912 
 
 27.2-37.6 
 
 1913 
 
 27.9-39.1 
 
 1914 
 
 26.7-38.7 
 
 1915 
 
 29.7-42.1 
 
 1916. . 
 
 40.5-50.9 
 
 1917. 
 
 46.9-61.2 
 
 1918 
 
 53.5-70.2 
 
 1919 
 
 58.6-73.1 
 
 1920 
 
 
 § 26c. Percentage Division of Number of Persons Having over $2,000 
 
 and Under $2,000 Income per Year 
 
 The percentage of persons having incomes over and under $2,000 and 
 the percentage of the total income which they received is next shown: — 
 
 TABLE 26C 
 
 PERCENTAGE OF PERSONS HAVING INCOMES OVER AND UNDER $2,000 
 AND PERCENTAGE OF THE TOTAL INCOME WHICH THEY RECEIVED 
 
 1910 to 1919 
 
 Year 
 
 Per cent of total persons 
 having incomes 
 
 Per cent of income received by 
 persons having 
 
 Over $2,000 
 
 Under $2,000 
 
 96% 
 
 96 
 
 96 
 
 96 
 
 96 
 
 94 
 93 
 89 
 88 
 
 86 
 
 Over $2,000 
 
 Under $2,000 
 
 1910 
 
 1911 
 
 1912 
 
 1913 
 
 1914 
 
 1915 
 
 4% 
 
 4 
 
 4 
 
 4 
 
 4 
 
 6 
 
 7 
 11 
 12 
 14 
 
 33% 
 
 32 
 
 31 
 
 31 
 
 31 
 
 33 
 37 
 41 
 39 
 
 39 
 
 67% 
 
 68 
 
 69 
 
 69 
 
 69 
 
 67 
 
 1916 
 
 63 
 
 1917. 
 
 59 
 
 1918 
 
 1919 
 
 1920 
 
 61 
 61 
 
 s
 
 SUMMARY OF PART II 333 
 
 It will be seen that while the percentage of persons having incomes over 
 $2,000 increased from about 4 per cent in 1910 to 1914, to about 14 per 
 cent in 1919, the percentage of the income which they received increased 
 only from about 32 per cent to about 40 per cent during this period. The 
 increase in the number of persons having incomes over §2,000 is doubtless 
 closely connected with the rise in prices, and does not denote a corre- 
 sponding improvement in their well-being. 
 
 § 26d. The Percentage of the Total Income Obtained by the Highest 
 
 5 Per Cent of Income Receivers 
 
 Using this table as a basis, and checking with the work in Part III, it 
 is possible to make a conjectural estimate of the percentage of the total 
 income which the highest 5 per cent of income receivers obtained. 
 
 The method employed has been to subtract from the number of persons 
 having incomes over $2,000 such a number as will reduce the remainder 
 to 5 per cent of the gainfully employed. The average income of those who 
 are subtracted is then computed in accordance with the distribution of 
 the entire income as shown in Part III. While no claim to strict accuracy 
 can be made for the results, the error is probably not sufficient to 
 alter the trend shown. This percentage is shown including and excluding 
 farmers because for many purposes farmers make a class apart from the 
 remainder of the industrial community. Corporate surplus is left out of 
 this computation for it is not possible to locate the recipients with any 
 degree of accuracy (see Table 26D). 
 
 § 26e. The Position of the Farmer 
 
 The per cent of the National Income which was received by farmers 
 each year is next shown. The number of farmers was reported in 1910 as 
 0,361,000 and in 1920 as 0,460,000 — a gain which is so small as to be 
 practically negligible (see Table 26E). 
 
 § 26f. Income in Each Year in Terms of Constant Purchasing Power 
 
 Did the income of the country increase during the decade when meas- 
 ured in terms of serviceable goods? In order to answer this question satis- 
 factorily a rather elaborate computation has been found necessary. There 
 is no satisfactory price index which can be applied indiscriminately to 
 all products; indeed, the variations of price changes in different classes 
 of commodities is a st liking feature of the decade. In order to meet this 
 difficulty, the income of the country was divided into four classes: 
 
 1. Expenditures by persons having incomes over $2,000. 
 
 2. Expenditures by persons having incomes under $2,000.
 
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 SUMMARY OF PART II 
 
 335 
 
 TABLE 26E 
 
 PER CENT OF THE NATIONAL INCOME RECEIVED BY FARMERS 
 
 Year 
 
 Total 
 
 national income 
 
 Farmers' income 
 
 Percentage of 
 
 national income 
 
 
 (Billions of dollars) 
 
 received by farmers 
 
 1910 
 
 1911 
 
 1912 
 
 1913 
 
 1914 
 
 $31.2 
 31.1 
 32.4 
 33.5 
 32.7 
 35.9 
 45.7 
 54.1 
 62.0 
 66.8 
 
 $ 3.95 
 3.70 
 4.00 
 4.20 
 4.20 
 4.70 
 5.80 
 8.80 
 10.45 
 10.85 
 7.20 
 
 12.7 
 11.9 
 12.3 
 
 12.5 
 12 8 
 
 1915 
 
 1916 
 
 1917 
 
 1918 
 
 1919 
 
 13.1 
 
 12.7 
 16.3 
 16.9 
 16 2 
 
 1920 
 
 
 3. War expenditures. 
 
 4. Construction expenditures. 
 
 For each of these divisions, the most plausible index number was found : 
 
 1. An index number of costs of living of persons having incomes over 
 $2,000 was constructed by the Bureau. (Chap. 2, § 2c.) 
 
 2. For persons with incomes less than $2,000, the index number of the 
 cost of living of the Bureau of Labor Statistics, Monthly Labor Renew, 
 June, 1920, p. 79, was used. The figures used are for June of each year. 
 The years 1910 to 1912 have been compiled by this Bureau on a basis 
 comparable to that used by the Bureau of Labor Statistics. (Chap. 
 2, § 2b.) 
 
 3. An index number was constructed from selected items of materials 
 used in war, as estimated by the War Industries Board. (History of Prices 
 During the War, 1919.) 
 
 4. An index number of construction was obtained from the American 
 Telephone and Telegraph Company. 
 
 These index numbers cannot well be carried back of the year 1913. 
 Prior to that year, the data are too uncertain to permit of even the crude 
 methods employed for the later years. However, the general price level 
 did not alter greatly during the years 1910 to 1913, so that an application 
 of any legitimate index number of prices and any reasonable subdivision 
 of the income would not alter the final result to any marked degree. 
 
 Taking 1913 as the basic year, computation gives the National Income 
 for each year in terms of dollars of constant purchasing power as shown in 
 Table 26G.
 
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 SUMMARY OF PART II 
 
 337 
 
 TABLE 26G 
 
 NATIONAL INCOME AT PRICE LEVEL OF 1913 
 
 (Huso Year: L913) 
 1910 to 1919 
 
 Year 
 
 Total income 
 (Billions of dollars). 
 
 Weighted index 
 number <>f prices 
 
 Income at price 
 
 level of 1913 
 
 (Billions of dollars) 
 
 1910 
 
 1911 
 
 1912 
 
 1913 
 
 1914 
 
 1915 
 
 1916 
 
 1917 
 
 1918 
 
 1919 
 
 1920 
 
 $31.2 
 31.1 
 32.4 
 33.5 
 32.7 
 35.9 
 
 45.7 
 
 54 . 1 
 62.0 
 66.8 
 
 98 . 
 
 98.0 
 
 99.] 
 
 100.0 
 
 100.6 
 
 102.3 
 
 113.7 
 136.1 
 160.7 
 177.7 
 
 $31.8 
 31.7 
 32.7 
 33.5 
 
 32.5 
 35.1 
 
 40.2 
 39.7 
 38.6 
 37.6 
 
 § 26g. The Average Income per Capita in Each Year 
 
 The next table shows the average income per capita of the entire popu- 
 pation and of the gainfully employed. The entire population has been 
 interpolated according to a method devised by Mr. King, of which the 
 details are shown in Chapter 2, § 2a. 
 
 The number of the "gainfully employed'' is uncertain, owing to the 
 divergent ways of counting the persons included under agricultural labor. 
 It seems certain that different standards have been used by the Census 
 enumerators in determining whether a housewife or member of the family 
 who helps in the fields intermittently or only for a few days during the har- 
 vest season should or should not be included. On account of this difficulty 
 (and it appears to invalidate any close comparison between the totals of 
 1910 and the estimated totals of 1920), the number of farm laborers has 
 been kept at a constant figure. In a measure, this comes nearer expressing 
 the truth than any other arbitrary interpretation, for there is much evi- 
 dence to indicate that during 1916 to 1919, when farm laborers were 
 drafted into other industries, their places were taken by members of the 
 family who are normally not included among the gainfully employed. 
 This view was taken by Mr. Gray Silver in explaining the large increase 
 of farmers' income in the years 1917 to 1919. ! 
 
 The number of gainfully employed which is presented is the number 
 actually employed in each year, as distinguished from the number attached 
 
 ' See Vol. I, page 38.
 
 338 
 
 THE ESTIMATE BY INCOMES RECEIVED 
 
 to the industry. The former number is always smaller than the latter, and 
 in times of depression is apt to be considerably smaller. It reflects in a 
 broad way the changes in degree of unemployment. 1 
 
 The results are presented in several ways: (1) per capita income for the 
 whole population, (2) per capita income for the gainfully employed, and 
 (3) both sets of per capita figures are given first in money of current and 
 second in money of constant purchasing power. Needless to say, changes 
 in economic welfare are best approximated by the figures from which the 
 price fluctuations have been eliminated. 
 
 TABLE 26H 
 
 PER CAPITA INCOME AND ITS PURCHASING POWER AT THE PRICE 
 
 LEVEL OF 1913 
 
 
 Income per capita of the 
 entire population 
 
 Income per capita of the 
 gainfully employed 
 
 Year 
 
 Number 
 
 of 
 persons 
 
 Income 
 
 per 
 capita 
 
 Purchasing 
 power at 
 
 1913 
 price level 
 
 Number 
 
 of 
 persons 
 
 Income 
 
 per 
 capita 
 
 Purchasing 
 power at 
 
 1913 
 price level 
 
 
 (Millions) 
 
 (Dollars) 
 
 (Millions) 
 
 (Dollars) 
 
 1910 . . 
 
 1911 . . . 
 
 1912 . . . 
 
 1913 . .. 
 
 1914 ... 
 
 1915 . . . 
 
 1916 . . . 
 
 1917 . . . 
 
 1918 ... 
 
 1919 . . . 
 
 1920 . . . 
 
 92.23 
 93.81 
 95.34 
 
 97.28 
 
 99.19 
 
 100.43 
 
 101.72 
 103.06 
 104 . IS 
 
 104.85 
 
 $338 
 332 
 340 
 
 344 
 330 
 357 
 
 449 
 525 
 595 
 
 637 
 
 $345 
 338 
 343 
 
 344 
 328 
 349 
 
 395 
 385 
 371 
 
 359 
 
 33 . 82 
 34.35 
 34.81 
 
 35.08 
 34.87 
 34.91 
 
 37.65 
 38.73 
 40.92 
 
 39.52 
 
 $ 923 
 907 
 931 
 
 955 
 
 936 
 
 1,028 
 
 1,214 
 1,397 
 1,515 
 
 1,690 
 
 $ 940 
 923 
 939 
 
 955 
 
 932 
 
 1,005 
 
 1,068 
 
 1,025 
 
 943 
 
 951 
 
 1 In comparing it to the Census figures our figures for the number of gainfully employed 
 for 1910 and in 1920, two items should be kept in mind: (1) The Census includes 3,100,000 
 farm laborers working on home farms, who are not included here. (2) The Census figures 
 include all those attached to an industry, whereas only those actually at work are included 
 here. We estimated that about 3 per cent are normally unemployed, that is to say, about 
 one million persons.
 
 PART III 
 
 THE PERSONAL DISTRIBUTION OF INCOME IN THE 
 
 UNITED STATES 
 
 By 
 FREDERICK R. MACAULAY 
 
 ASSISTED BY 
 E. GAIL BENJAMIN
 
 <*
 
 CHAPTER 27 
 THE PROBLEM 
 
 What is the frequency distribution of annual income among personal 
 income recipients in the United States? Before we can give an intelligent 
 answer to this question, we must formulate it more definitely by indicating 
 certain connotations which logic or expediency leads us to attach to some 
 of its terms. 
 
 By income it seems desirable to mean actual money income, plus the 
 estimated money value of the more important of those items of commodity 
 or service income on which a money value is ordinarily placed. Two of 
 the most important items which are thus included are the annual rental 
 values of owned homes and the value of farm produce consumed by farmers' 
 families. 
 
 In line with the ordinary convention, we have excluded from our defini- 
 tion of income, that income, whether monetary or non-monetary, which a 
 wife receives from her husband or a child from its parents. 1 Not only is 
 such exclusion practically expedient but it is also theoretically defensible 
 and that quite apart from the fact that a money value is not ordinarily 
 placed on the services of wife or child, wages of housekeepers to the con- 
 trary notwithstanding. 
 
 The frequency distribution resulting from the exclusion of such quasi 
 incomes will be less heterogeneous and more significant and interpretable 
 than the distribution which would result from inclusion. For the relation 
 of the incomes of wives and children to the economic struggle is derived 
 and secondary, while that of most other incomes is direct and primary. 
 Now, though the distribution of income among persons is not synonymous 
 with distribution among the factors of production, the two problems are 
 very closely related. An individual's income may be thought of as made 
 up of wages, rent, interest and dividends, profits, and gifts or allowances. 
 If we omit this last type of income, the problem of factorial distribution 
 proposes an investigation of how and why the individual received what 
 remains. Even if gifts and allowances admitted of any such systematic 
 and reasoned explanation as may be given of rent, wages, etc., the ex- 
 planation would be of a totally different kind. Hence, for the purposes of 
 this investigation, it seems undesirable to classify as income, the receipts, 
 
 1 That is, while such income has, of course, been counted in the first instance as income 
 of the husband or parent it has not been re-counted as income of the wife or child. 
 
 oil
 
 342 PERSONAL DISTRIBUTION OF INCOME IN U. S. 
 
 whether monetary or non-monetary, of those persons receiving merely 
 allowances or gifts. 1 
 
 Similar considerations have led us to think of an income recipient as an 
 individual rather than a family. Just as it is the husband and not the 
 wife, the parent and not the child, so it is the individual and not the family 
 who, as an income receiver, comes into direct economic relationship with 
 the machinery of distribution. 
 
 The chief argument in favor of family rather than individual treatment 
 of the frequency distribution is based upon the idea that, though income 
 accrues to the individual and not the family, the family is a more significant 
 unit of economic need than the individual. But this is a different approach 
 to the question and has, of course, no intimate relation to the problem of 
 factorial distribution. Moreover, we must remember that if we are going 
 to improve appreciably upon the individual, even as a need unit, we can- 
 not stop with actual biological families with their great variation in size 
 and constitution, but must introduce the concept of the theoretical family — 
 father, mother and three children, for example. This last concept is, in 
 its raw form, quite unusable. The population is not made up of such 
 theoretical families. We may discuss what a family of five ought to get 
 to maintain a decent standard of living, but we cannot divide the actual 
 population into families of five and discuss what these non-existent hy- 
 pothetical families actually do get. There remains the alternative of ex- 
 pressing actual families in terms of some need unit such as the "ammain." 2 
 While this last procedure would probably yield an extremely interesting 
 distribution based upon need units, it is impractical to attempt any such 
 solution with the data available. 3 
 
 Though a distribution of income among actual biological families would 
 appear to be somewhat less enlightening and interpretable than a dis- 
 tribution by individuals or by ammains, it would have its own peculiar 
 interest and we would have attempted its construction had the data been 
 adequate for such a purpose. Most of the data bearing on income dis- 
 tribution are in the individual form; wages distributions, for example, are 
 
 1 Of course if the wife or child has "independent" income, that income is no longer of the 
 nature of a gift or allowance even though it may arise from property originally deeded by 
 the husband or father. It is now explainable in terms of rent, interest, etc. 
 
 If income be defined as above, the term personal income recipient will correspond closely 
 to the census expression person gainfully employed. Perhaps the most important difference 
 is that we do not and the Census does include as separate income recipients, farm laborers 
 working on the home farm. 
 
 -' Ammain is a word coined by W. I. King and E. Sydenstricker and defined by them, for 
 any given class of people, as "a gross demand for articles of consumption having a total 
 money value equal to that demanded by the average male in that class at the age when his 
 total requirements for expense of maintenance reach a maximum." Measurement of Relative 
 Economic Status of Families. Quarterly Publications of the American Statistical Association, 
 Sept., 1921, p. 852. 
 
 1 It is of course quite possible to estimate the average per ammain income, as has been done 
 !>y Mr. King; the total income of the people can he divided by the estimated number of 
 ammains in the population. See pages 'l'.V,\ and 234.
 
 THE PROBLEM 343 
 
 almost without exception in that form. Now to estimate the frequency 
 distribution of income among families from data which, in the first place, 
 are in the individual form and, in the second place, are extremely inade- 
 quate for estimating even the distribution among individuals, could only 
 increase the degree of uncertainty in our results. 
 
 A few words explaining the reason for introducing the next chapter at 
 this point are not out of place here. The data upon which an estimate of 
 even the individual distribution of income in the United States must be 
 based impress one as being in such shape that it is impossible to arrive at 
 more than the roughest sort of approximation by any mere direct adding 
 process. Some more ingenious plan would seem almost necessary. For 
 example, would it not be possible to formulate a general mathematical 
 "law" for the distribution of incomes which law might then be used for 
 "adjusting" the tentative and hypothetical results obtained from piecing 
 together the existing scanty and inadequate material? 
 
 The possibility and desirability of mathematically describing the fre- 
 quency distribution of income would seem intimately tied up with the case 
 for mathematically describing error distributions and statistical distribu- 
 tions in general. The fact that, in our problem, the "law" would be largely 
 derived from the same data as those which were to be "adjusted" need 
 not greatly disturb us. The procedure of adjusting observations in the 
 light of a mathematical expression derived from the same observation- is 
 not novel. A number of attempts, one of which has become world-famous, 
 have been made to demonstrate that the distribution of income follows 
 a definite; mathematical law. However, the next chapter will show why 
 we fear that no rational and useful mathematical law will soon be formu- 
 lated.
 
 CHAPTER 28 
 
 PARETO'S LAW AND THE GENERAL PROBLEM OF MATHE- 
 MATICALLY DESCRIBING THE FREQUENCY DISTRIBU- 
 TION OF INCOME 
 
 The problem of formulating a mathematical expression which shall de- 
 scribe the frequency distribution of income in all places and at all times, 
 not only closely, but also elegantly, and if possible rationally as opposed 
 to empirically, has had great attractions for the mathematical economist 
 and statistician. The most famous of all attempts at the solution of this 
 fascinating problem are those which have been made by Vilfredo Pareto. 
 Professor Pareto has been intensely interested in this subject for many 
 years and the discussion of it runs through nearly all of his published 
 work. The almost inevitable result is that "Pareto's Law" appears in a 
 number of slightly different forms and Professor Pareto's feelings con- 
 cerning the "law" run all the way from treating it as inevitable and im- 
 mutable to speaking of it as "merely empirical." 
 
 In its best known, most famous, and most dogmatic form, Pareto's Law 
 runs about as follows: 
 
 1. In all countries and at all times the distribution of income is such 
 that the upper (income-tax) ranges of the income frequency distribution 
 curve may be described as follows: If the logarithms of income sizes be 
 charted on a horizontal scale and the logarithms of the numbers of persons 
 having an income of a particular size or over be charted on a vertical 
 scale, then the resulting observational points will lie approximately along 
 a straight line. In other words, if 
 
 x = income size and 
 
 y = number of persons having that income or larger 
 then log y = log b -f- m log x 
 ory = bx" 1 . 1 
 
 2. In all countries and at all recent times the slope of this straight line 
 fitted to the cumulative distribution, that is, the constant m in the equa- 
 tion y = bx" 1 , will bo approximately 1.5. 2 
 
 3. The rigidity and universality of the two preceding conclusions strongly 
 
 1 If the cumulative distribution (cumulating from the higher towards the lower incomes 
 as Pareto does) on a double log scale could be exactly described by the equation y = bx m , 
 the non-cumulative distribution could be described by the equation Y = — mbx m 1. 
 
 2 Strictly, minus 1.5, though Pareto neglects the sign. 
 
 344
 
 PARETO'S LAW 345 
 
 suggest that the shape of the income frequency distribution curve on a 
 double log scale is, for all countries and at all times, inevitably the same 
 not only in the upper (income-tax) range but throughout its entire length. 
 
 4. If then the nature of the whole income frequency distribution is 
 unchanging and unchangeable there is, of course, no possibility of economic 
 welfare being increased through any change in the proportion of the total 
 income going to the relatively poor. Economic welfare can be increased 
 only through increased production. In other words, Panto's Law in this 
 extreme form constitutes a modern substitute for the Wages Fund Doc- 
 trine. 
 
 This is the most dogmatic form in which the "law" appears. In his 
 later work Professor Pareto drew further and further away from the con- 
 fidence of his first position. He had early stated that the straight line did 
 not seem adequate to describe distributions from all times and places and 
 had proposed more complicated equations. 1 He has held more strongly 
 to the significance of the similarity of slopes but he has wavered in his 
 faith that the lower income portions of the curve (below the income-tax 
 minimum) were necessarily similar for all countries and all times. He has 
 given up the suggestion that existing distributions are inevitable though 
 still speaking of the law as true within certain definite ranges. To translate 
 from his Manuel (p. 391): "Some persons would deduce from it a general 
 law as to the only way in which the inequality of incomes can be dimin- 
 ished. But such a conclusion far transcends anything that can be derived 
 from the premises. Empirical laws, like those with which we are here 
 concerned, have little or no value outside the limits for which they were 
 found experimentally to be true." Indeed Professor Pareto has himself 
 drawn attention to so many difficulties inherent in the crude dogmatic 
 form of the law that this chapter must not be taken as primarily a criticism 
 of his work but rather as a note on the general problem of mathematically 
 describing the frequency distribution of incomes. 
 
 Almost as soon as he had formulated his law Professor Pareto recognized 
 the impossibility of extrapolating the straight line formula into the lower 
 income ranges (outside of the income-tax data which he had been using). 
 The straight line formula involves the absurdity of an infinite number of 
 individuals having approximately zero incomes. Professor Pareto felt 
 that this zero mode with an infinite ordinate was absurd. He believed 
 that the curve must have a definite mode at an income size well above 
 zero 2 and with a finite number of income recipients in the modal group. 
 
 1 The inadequacy of these more complicated equations is discussed later. See pp. .'lis, 363 
 and 3(54. 
 
 2 This is, of course, not absolutely necessary. It depends upon our definitions of income 
 and income recipient. If we include the negligible money receipts of young children living 
 at home we might possibly have a mode close to zero. There are few children who do not 
 really earn a few pennies each year. Compare Chart 31A page 41(3.
 
 346 PERSONAL DISTRIBUTION OF INCOME IN U. S. 
 
 Having come to the conclusion that the income frequency distribution 
 curve must inevitably have a definite mode well above zero income and 
 tail off in both directions from that mode, Professor Pareto was led to 
 think of the possibilities of the simplest of all frequency curves, the normal 
 curve of error. However, after examination and consideration, he felt 
 strongly that the normal curve of error could not possibly be used. He 
 became convinced that the normal curve was not the law of the data for 
 the good and sufficient reason that the part of the data curve given by 
 income-tax returns is of a radically different shape from any part of a 
 normal curve. 1 
 
 Professor Pareto finds a further argument against using the normal curve 
 in the irrationality of such a curve outside the range of the data. 
 The mode of the complete frequency curve for income distribution is at 
 least as low as the minimum taxable income. Income-tax data prove this. 
 However, a normal curve is symmetrical. Hence, if a normal curve could 
 describe the upper ranges of the income curve as given by income-tax data 
 then in the lower ranges it would cut the y axis and pass into the second 
 quadrant, in other words show a large number of negative incomes. 
 
 Now, aside from the fact that this whole argument is unnecessary if 
 the data themselves cannot be described even approximately by a normal 
 curve, Professor Pareto's discussion reveals a curious change in his middle 
 term. If he had said that a symmetrical curve on a natural scale with a 
 mode at least as low as the income-tax minimum would show unbelievably 
 large negative incomes we could follow him but when he states that not 
 only can there be no zero incomes but that there can be no incomes below 
 "the minimum of existence" we realize that he has unconsciously changed 
 the meaning of his middle term. Having examined a mass of income-tax 
 data, all of which were concerned with net money income and from these 
 data having formulated a law, he now apparently without realizing it, 
 changes the meaning of the word income from net money income to money 
 value of commodities consumed, and assumes that those who receive a money 
 income less than a certain minimum must inevitably die of starvation. 
 
 1 Though Pareto seems to have thoroughly understood this fact, his discussion is not al- 
 together satisfactory. He states that the data for the higher incomes show a larger number 
 of such incomes than the normal curve would indicate. This is hardly adequate. To have 
 stated that the upper and lower ranges showed too many incomes as compared with tin middle 
 range would have been better. An easy way to realize clearly the impossibility of describing 
 income-tax data by a normal curve is to plot a portion of the non-cumulative data on a natural 
 x log y basis. When so charted the data present a concave shaped curve. However, if the 
 data were describable by any part of a normal curve of error, they would show a convex ap- 
 pearance, or in the limiting case a straight line, as the equation of the normal curve of error 
 — x- 
 
 ' //.r = >.i„e " <r " ) becomes, on a natural x log y scale, log e y x = log e y — ^.ora second degree 
 
 parabola whose axis is perpendicular to the x axis of coordinates. 
 
 The reader must note that the limiting straight line case mentioned above is on a natural 
 x log y scale and not (as the Pareto straight line) on a log x log y scale. (Note concluded 
 page 347.) 

 
 PARETO'S LAW 
 
 347 
 
 Children receive in general negligible money incomes. Many other persons 
 in ilie community are in the same position. A business man may "lose 
 money" in a given year, in other words he may have a negative money 
 income. There seems no essential absurdity in assuming that a large 
 number of persons receive money incomes much less than necessary to 
 
 (Note 1 page 346 concluded.) 
 
 Chart 28A showine; curves fitted to observations on the heights of men illustrates the ap- 
 pearance of the normal curve on a natural scale and on a natural ./■ log .'/ scale. That chart 
 also illustrates another fact of importance in this discussion, namely, that fitting to a different 
 function of the variable giv< s a different fit. 
 
 ! 
 
 -150 
 -120 
 -90 
 
 -60 
 -30 
 -/5 
 
 10 
 
 r 
 
 DISTRIBUTION OF HEIGHTS OF 1078 MEN. 
 
 B/OMETR/Kf? VOL II Pf/5 (FATHERS) 
 
 1-Normal Curve Fitted to Natural Scale 
 Data by Method of Mom ents, also 
 Loss of Same. 
 
 2-5econd Degree Parabola Fitteo to 
 Natural x Loa Y Data by Method of 
 Least Squares, also Antilogs of5ame. 
 
 CHART 28A 
 
 A/ATC/?/)L 
 
 S3 5 1 59S 60S f'S 62S 63S 64 S 6S5 6SS 67 'S 68 S 69S 70.S 71.5 72.5 735 745 
 
 HEIGHT IN IHCHES 
 
 -/50 
 
 585 535 60S 6'S €2 5 635 645 655 665 67.5 685 695 
 
 HEIGHT IH IHCHES
 
 348 PERSONAL DISTRIBUTION OF INCOME IN U. S. 
 
 support existence. When in 1915 Australia took a census of the incomes 
 of all persons "possessed of property, or in receipt of income," over 14 
 per cent of the returns showed incomes "deficit and nil." x 
 
 Professor Pareto's realization of the impossibility of describing income 
 distributions by means of normal curves led him to the curious conclusion 
 that such distributions were somehow unique and could not be explained 
 upon any "chance" hypothesis. "The shape of the curve which is fur- 
 nished us by statistics, does not correspond at all to the curve of errors, 
 that is to say 2 to the form which the curve would have if the acquisition 
 and conservation of wealth depended only on chance." 3 Moreover, while 
 Professor Pareto's further suggestion of possible heterogeneity in the data 
 corresponds we believe to the facts, his reason for making such a sug- 
 gestion, namely that the data cannot be adequately described by a 
 normal curve, is irrelevant. 4 "Chance" data distributions are no longer 
 thought of as necessarily in any way similar to the normal curve. Even 
 error distributions commonly depart widely from the normal curve. 
 The best known system of mathematical frequency curves, that of 
 Karl Pearson, is intended to describe homogeneous material and is 
 based upon a probability foundation, yet the normal curve is only 
 one of the many and diverse forms yielded by his fundamental 
 
 d log y x + a 
 equation — = .° 
 
 dx b + b\X -f- b 2 x 2 
 
 While Pareto's Law in its straight line form was at least an interesting 
 suggestion, his efforts to amend the law have not been fruitful. His at- 
 tempts to substitute logJV = log e A — a log e (x + a) or even log^ = 
 log e A — a log e (z + a) — fix for the simpler log N = log A — a logz 
 have not materially advanced the subject. 6 The more complicated curves 
 have the same fundamental drawbacks as the simpler one. Among other 
 peculiarities they involve the same absurdity of an infinite number of 
 persons in the modal interval and none below the mode. Along with the 
 doubling of the number of constants, there comes of course the possibility 
 of improving the fit within the range of the data. Such improvement is, 
 however, purely artificial and empirical and without special significance, 
 as can be easily appreciated by noticing the mathematical characteristics 
 of the equation. 
 
 A number of other statisticians have at various times fitted different 
 types of frequency curves to distributions of income, wages, rents, wealth, 
 
 1 Compare Table 29A. 
 
 2 My italics. 
 
 3 Manuel, p. 385. See also Cours, pp. 416 and 417. 
 « Vid. Cours, pp. 416 and 417. 
 
 5 Professor A. \V. Flux in a review of Pareto's Cours aV Economie Politique (Economic Journal, 
 March, 1897) drew attention to the inadequacy of Pareto's conception of what were and what 
 were not "chance" data. 
 
 e Cf. Cours, vol. II, p. 305, note.
 
 PARETO'S LAW 349 
 
 or allied data. 1 However, no one has advanced such claims for a "law" 
 of income 2 distribution as were at one time made by Professor Pareto. 
 When considering the possibility of helpfully describing the distribution 
 of income by any simple mathematical expression, one inevitably begins 
 by examining "Pareto's Law." It is so outstanding. Let us therefore 
 examine Pareto's Law. 
 
 1. Do income distributions, when plotted on a double log scale, 
 approximate straight lines closely enough to give such approxi- 
 mation much significance? 
 
 Before attempting to answer this question it is of course necessary to 
 decide how we shall obtain the straight line with which comparisons are 
 to be made. 
 
 Professor Pareto fitted straight lines directly by the method of least 
 squares to the cumulative distribution plotted on a double log scale. The 
 disadvantage of this procedure is that, though one may obtain the straight 
 line which best fits the cumulative distribution, such a straight line may be 
 anything but an admirable fit to the non-cumulative figures. For example, 
 if a straight line be fitted by the method of least squares to Prussian re- 
 turns for 1886 (as given by Professor Pareto) the total number of income 
 recipients within the range of the data is, according to the fitted straight 
 line, only 5,399,000 while the actual number of returns was 5,557,000, 
 notwithstanding the fact that Prussia, 1886, is a sample which runs much 
 more nearly straight than is usual. How bad the discrepancy may be 
 where the data do not even approximate a straight line is seen in Professor 
 Pareto's Oldenburg material. There the least-squares straight line fitted 
 to the cumulative distribution on a double log scale gives 91,222 persons 
 having incomes over 300 marks per annum while the data give only 54,309. 
 
 ■Among others, Karl Pearson, F. Y. Edgeworth, Henry L. Moore, A. L. Bowlcy, Lucien 
 Mareh, J. C. Kapteyn, C. Bresciani, C. Gini, F. Savorgnan. 
 
 - Professor H. L. Moore, in his Laws of Wages, is concerned primarily with wages not 
 income. 
 
 Professor J. C. Kapteyn has presented a pretty but somewhat hypothetical argument sug- 
 gesting that the skewness in the income frequency curve should be such that plotting on a 
 log x basis would eliminate it. 
 
 "In several cases we feel at once that the effect of the causes of deviation cannot be inde- 
 pendent of the dimension of the quantities observed. In such cases we may conclude at once 
 that the frequency curve will be a skew one. To take a single example: 
 
 "Suppose 10(10 men to begin trading, each with the same capital; in order to see how their 
 wealth will be distributed after the lapse of 10 years, consider first what will be their condition 
 at some earlier epoch, say at the end of the fifth year. 
 
 "We may admit that a certain trader A will then only possess a capital of £100, while 
 another may possess £100,000. 
 
 "Now if a certain cause of gain or loss comes to operate, what will happen? 
 
 "For instance: Let the price of an article in which both A and H have invested their capital, 
 rise or fall. Then it will be evident that if the sain or loss of A be L'lO. that of 15 will not be 
 £10, but £10,000; that is to say, the effect of this cause will not he independent of the capital. 
 but proportional to it." 
 
 J. C. Kapteyn, Skew Frequency Curves in Biology and Statistics, p. 13.
 
 350 PERSONAL DISTRIBUTION OF INCOME IN U. S. 
 
 The reason for this peculiarity of the fit to the cumulative distribution 
 becomes clear when we remember that the least-squares straight line may 
 easily deviate widely from the first datum point while a straight line giving 
 the same number of income recipients as the data must necessarily pass 
 through the first datum point. 1 
 
 A straight line fitted in such a manner that the total number of per- 
 sons and total amount of income correspond to the data for these items 
 gives what seems a much more intelligible fit. Charts 28B to 28G show 
 cumulative United States frequency distributions from the income-tax 
 returns for the years 1914 to 1919 on a double log scale (Professor Pareto's 
 suggestion). Two straight lines are fitted to each distribution— one a 
 solid least-squares line fitted to the cumulative data points and the 
 other a dotted line so fitted that the total number of persons and total 
 amount of income correspond to the data figures. While the least-squares 
 line may appear much the better fit to these cumulative data, a mere 
 glance at Tables 28B to 28G will reveal the fact that such a line is, to 
 say the least, a less interpretable fit to the non-cumulative distribution. - 
 It is, of course, evident that neither line is in any year a sufficiently good 
 fit to the actual non-cumulative distribution to have much significance. 
 No mathematics is necessary to demonstrate this. 3 
 
 1 e. g. in the case of Prussia, 1886, the first datum point is x = "over300M" and y = 54,30!? 
 persons. 
 
 - Professor Warren M. Persons discussed the fit of the least-squares straight line to Professor 
 Pareto's Prussian data for 1892 and 1902 in the Quarterly Journal of Economics, May, 1909, 
 and demonstrated the badness of fit of that line to those data. 
 
 3 The income returned for the years 1914 and 1915 was estimated from the number of re- 
 turns. Income is not given in the reports for those years. 
 
 In fitting straight lines to the data of Tables 28B to 28G the lowest income interval (in 
 which married persons making a joint return are exempt) has always been omitted. To have 
 included in our calculations these lowest intervals would have increased still further the bad- 
 ness of the fit in the other intervals. 
 
 S
 
 PARETO'S LAW 
 
 351 
 
 
 
 
 CHART 28 B 
 
 
 
 
 UNITED STATES INCOME TAX RETURNS 
 
 
 
 
 1914 
 
 
 
 
 CUMULATIVE FREQUENCY DISTRIBUTION 
 
 
 
 
 AND 
 
 - 1,000,000 
 
 
 
 FITTED (Least Squares) STRAIGHT LINE 
 Scales Logarithmic. 
 
 - 100,000 
 
 ^ 
 
 ^V 
 
 
 - 10,000 
 
 
 ^K 
 
 
 z 
 
 | 
 
 
 
 >~. 
 
 - 1,000 ° 
 
 a 
 w 
 
 ca 
 
 2 
 
 
 
 >j"-.. 
 
 100 
 
 
 
 ^O n *' 
 
 -10 
 
 
 
 
 2 
 
 il 
 
 3 4 5 
 
 -l-X-i.— 
 
 INCOME IN THOUSANDS OF DOLLARS 
 10 20 30 40 50 100 200 300 400 500 1,000 2,000 3.000 
 1 1 1 iii, | I
 
 352 PERSONAL DISTRIBUTION OF INCOME IN U. S. 
 
 - 100,000 
 
 CHART 28C 
 
 1,000,000 
 
 10,000 2 
 
 o 
 
 as 
 
 1.000 g 
 
 S 
 
 se 
 
 100 
 
 10 
 
 UNITED 5TATE5 IMCOME TAX RETURNS 
 1915 
 
 CUMULATIVE FREQUENCY DISTRIBUTION 
 
 AMD 
 
 FITTED Ueast Squares) STRAIGHT LINE 
 
 Scales Logarithmic 
 
 INCOME IN THOUSANDS OF DOLLARS 
 2 3 4 5 10 20 30 40 50 100 200 300 400500 1,000 2.00U 
 
 ' I ' I I | | | ' i.ii 
 
 ,*
 
 PARETO'S LAW 
 
 353 
 
 
 
 
 
 (HART 2ND 
 
 
 
 
 
 UNITED STATES INCOME TAX RETURNS 
 
 
 
 
 
 1916 
 
 
 
 
 
 CUMULATIVE FREQUENCY DISTRIBUTION 
 
 
 
 
 
 AND 
 
 -1,000,000 
 
 
 
 
 FITTED (Least Squares) STRAIGHT LINE 
 Scales Logarithmic 
 
 -100,000 
 
 ^ 
 
 '•Nu 
 
 
 
 - 10,000 g 
 
 a. 
 
 § 
 
 
 
 
 
 o 
 
 
 
 
 ^kN, 
 
 OS 
 ■ 1,000 w 
 
 B3 
 
 z 
 
 
 
 
 ^^S.^* 
 
 -100 
 
 
 
 
 >/■-.. 
 
 -10 
 
 
 
 
 
 
 
 INCOME IN THOUSANDS OF DOLLARS 
 
 2 3 4 5 
 
 10 
 
 20 
 
 30 
 
 40 50 11)0 200 300 400 500 1,000 2000 30004O005O00
 
 354 PERSONAL DISTRIBUTION OF INCOME IN U. S. 
 
 • 1,000,000 
 
 - 100,000 
 
 10,000 
 
 1,000 
 
 -100 
 
 -10 
 
 CHART 28 E 
 
 UNITED 5TATE5 INCOME TAX RETURNS 
 1917 
 
 CUMULATIVE FREQUENCY DISTRIBUTION 
 
 AND 
 
 FITTED (Least Squares) STRAIGHT LINE 
 Scales Logarithmic 
 
 INCOME IN THOUSANDS OF DOLLARS 
 3 4 5 10 20 30 40 50 100 200 300 400 500 1,000 2,000 3,000 4,000 
 
 ' ' ' ' ' ' ' ' ' ,ii, i ■ i i . 
 
 S
 
 PARETO'S LAW 
 
 355 
 
 CHART 28F 
 
 - 1,000,000 
 
 - 100,000 
 
 - 10,000 
 
 <n 
 z 
 
 a 
 
 9 
 g 
 
 as 
 
 ■ 1.000 O 
 
 as 
 u 
 
 05 
 
 -100 
 
 ■10 
 
 UNITED STATES INCOME TAX RETURNS 
 ISIS 
 
 CUMULATIVE FREQUENCY DISTRIBUTION 
 
 AND 
 
 FITTED (Least Squares) STRAIGHT LINE 
 Scales Lcjgarilhmic 
 
 3 4 5 
 
 ■ ■ 
 
 10 
 
 INCOME IN THOUSANDS OF DOLLARS 
 20 30 40 50 100 200 300 400 500 
 
 -x. 
 
 -* — ■- 
 
 M 
 
 1,000 
 
 -t. 
 
 2.00(1 3,000 
 
 l I
 
 356 PERSONAL DISTRIBUTION OF INCOME IN LI. S. 
 
 
 
 CHART 28 G 
 
 
 
 UNITED STATES INCOME TAX RETURNS 
 
 
 
 1919 
 
 
 
 CUMULATIVE FREQUENCY DISTRIBUTION 
 
 
 
 AND 
 
 - 1.000,000 ^. 
 
 
 FITTED (Least Squares) STRAIGHT LINE 
 Scales Logarithmic. 
 
 - 100,000 
 
 
 
 - 10,000g 
 
 
 \v 
 
 OS 
 
 
 <*v 
 
 o 
 
 
 
 as 
 
 -1,000 « 
 
 03 
 
 s 
 
 9 
 
 z 
 
 
 N^s 
 
 -100 
 
 
 >s>» 
 
 -10 
 
 
 o^/v ^% 
 
 2 3 4 5 
 
 10 
 
 INCOME IN THOUSANDS OF DOLLARS 
 
 20 30 40 50 100 200 300 400500 1,000 2,000 3,000
 
 PARETO'S LAW 
 
 357 
 
 TABLE 28B 
 
 (XITED STATES INCOME-TAX RETURNS, 1914 
 
 
 A 
 
 B 
 
 C 
 
 
 
 Income class 
 
 U. S. in- 
 come-tax 
 returns 
 
 Least-squares 
 straight line 
 
 Straight line 
 
 giving 
 correct total 
 returns and 
 
 income 
 
 Per 
 cent 
 
 A is 
 of B 
 
 Per 
 
 cent 
 
 \ is 
 
 of C 
 
 $ 3,000-$ 4,000 
 
 (82,754) 
 
 
 
 
 
 4,000- 5,000 
 
 66,525 
 
 101,241 
 
 84,683 
 
 65 . 7 
 
 78.6 
 
 5,000- 10,000 
 
 127,448 
 
 160,545 
 
 115,347 
 
 70.4 
 
 110.5 
 
 10,000- 15,000 
 
 34,141 
 
 38,630 
 
 32,716 
 
 ss.4 
 
 104.4 
 
 15,000- 20,000 
 
 15,790 
 
 15,853 
 
 14,102 
 
 99.6 
 
 112.0 
 
 20,000- 25,000 
 
 8,672 
 
 8,230 
 
 7,589 
 
 105 . 4 
 
 114.3 
 
 25,000- 30,000 
 
 5,483 
 
 4,879 
 
 4,631 
 
 112.4 
 
 118.4 
 
 30,000- 40,000 
 
 6,008 
 
 5,380 
 
 5,267 
 
 111.7 
 
 114.1 
 
 40,000- 50,000 
 
 3,185 
 
 2,793 
 
 2,835 
 
 114.0 
 
 112.3 
 
 50,000- 100,000 
 
 5,161 
 
 4,430 
 
 4,756 
 
 11(1.5 
 
 108.5 
 
 100,000- 150,000 
 
 1,189 
 
 1,065.5 
 
 1,241 
 
 lilt) 
 
 95.8 
 
 150,000- 200,000 
 
 406 
 
 437.3 
 
 535 
 
 92 . S 
 
 75 . 9 
 
 200,000- 250,000 
 
 233 
 
 227.1 
 
 288 . 1 
 
 102.6 
 
 80.9 
 
 250,000- 300,000 
 
 130 
 
 134.6 
 
 175.5 
 
 96.6 
 
 74.1 
 
 300,000- 400,000 
 
 147 
 
 14S.46 
 
 199.9 
 
 99.0 
 
 73.5 
 
 400,000- 500,000 
 
 69 
 
 77.06 
 
 107.6 
 
 89.5 
 
 64.1 
 
 500,000-1,000,000 
 
 114 
 
 122.20 
 
 180.4 
 
 93.3 
 
 63 . 2 
 
 1,000,000 and over 
 
 60 
 
 62.78 
 
 107.5 
 
 95.6 
 
 55.8 
 
 Total (over $4,000) 
 
 274,761 
 
 344,256.00 
 
 274,761.0 
 

 
 358 
 
 PERSONAL DISTRIBUTION OF INCOME IN U. S. 
 
 TABLE 28C 
 
 UNITED STATES INCOME-TAX RETURNS, 1915 
 
 
 A 
 
 B 
 
 C 
 
 
 
 Income class 
 
 U. S. in- 
 come-tax 
 
 Least- 
 squares 
 
 Straight line 
 
 giving 
 correct total 
 
 Per 
 
 cent 
 A is 
 of B 
 
 Per 
 
 cent. 
 A is 
 of C 
 
 
 
 returns 
 
 straight line 
 
 returns and 
 
 
 
 
 
 income 
 
 
 
 $ 3,000- 
 
 $ 4,000 
 
 (69,045) 
 
 
 
 
 
 4,000- 
 
 .5,000 
 
 58,949 
 
 92,064 
 
 68,540 
 
 64.0 
 
 86.0 
 
 5,000- 
 
 10,000 
 
 120,402 
 
 154,507 
 
 119,634 
 
 77.9 
 
 100.6 
 
 10,000- 
 
 15,000 
 
 34,102 
 
 40,358 
 
 33,013 
 
 84.5 
 
 103.3 
 
 15,000- 
 
 20,000 
 
 16,475 
 
 17,406 
 
 14,724 
 
 94.7 
 
 111.9 
 
 20,000- 
 
 25,000 
 
 9,707 
 
 9,372 
 
 8,121 
 
 103.6 
 
 119.5 
 
 25,000- 
 
 30,000 
 
 6,196 
 
 5,716 
 
 5,050 
 
 108.4 
 
 122.7 
 
 30,000- 
 
 40,000 
 
 7,005 
 
 6,508 
 
 5,875 
 
 107.6 
 
 119.2 
 
 40,000- 
 
 50,000 
 
 4,100 
 
 : 1,503 
 
 3,241 
 
 117.0 
 
 126.5 
 
 50,000- 
 
 100,000 
 
 6,847 
 
 5,880 
 
 5,65:; 
 
 116.4 
 
 121.1 
 
 100,000- 
 
 150,000 
 
 1,793 
 
 1,536 
 
 1,560 
 
 116.7 
 
 114.9 
 
 150,000- 
 
 200,000 
 
 724 
 
 662.5 
 
 695.4 
 
 109.3 
 
 104.1 
 
 200,000- 
 
 250,000 
 
 386 
 
 356.6 
 
 383.8 
 
 10S.2 
 
 100.6 
 
 250,000- 
 
 300,000 
 
 216 
 
 217.5 
 
 23S . 6 
 
 99.3 
 
 90.5 
 
 300,000- 
 
 400,000 
 
 254 
 
 217.7 
 
 277 . 6 
 
 102.5 
 
 91.5 
 
 400,000- 
 
 500,000 
 
 122 
 
 133.3 
 
 153.2 
 
 91.5 
 
 79.6 
 
 500,000- 
 
 1,000,000 
 
 209 
 
 223. S 
 
 267.1 
 
 93.4 
 
 7S.2 
 
 1,000,000; 
 
 uid over 
 
 120 
 
 133.6 
 
 177.3 
 
 89.8 
 
 67.7 
 
 Total (over $4,000) 
 
 267,607 
 
 338,825.0 
 
 267,607.0 
 
 
 
 y
 
 PARETO'S LAW 
 
 359 
 
 TABLE 28D 
 
 UNITED STATES INCOME-TAX RETURNS, 1916 
 
 
 A 
 
 B 
 
 c 
 
 
 
 
 U. S. in- 
 come-tax 
 
 returns 
 
 
 - raighl line 
 
 P« 
 
 Pi 1 
 
 Income class 
 
 Least-squares 
 straight lirx- 
 
 giving correct 
 total returns 
 
 at 
 A is 
 
 cent 
 A i. 
 
 
 
 and income 
 
 of B 
 
 of C 
 
 1 3,000-$ 4,000 
 
 (85,122 
 
 
 
 
 
 1,000 5,000 
 
 72,027 
 
 139,096 
 
 86,588 
 
 51.8 
 
 83 2 
 
 5,000 o.ooo 
 
 52,020 
 
 84,759 
 
 54,221 
 
 01 1 
 
 1 
 
 6,000 7,000 
 
 170 
 
 5:1.5.;:; 
 
 36,899 
 
 1 5 
 
 os 8 
 
 7,0! in 8,000 
 
 26, ! U 
 
 39,846 
 
 20,510 
 
 66 1 
 
 99.7 
 
 8,000- 0,000 
 
 19,9.7.1 
 
 2 '.202 
 
 19,801 
 
 68.1 
 
 100.8 
 
 9,000- 10,000 
 
 15,051 
 
 22.529 
 
 15,445 
 
 69.5 
 
 101.3 
 
 10,000- 15,000 
 
 45,309 
 
 60,668 
 
 12,879 
 
 71 7 
 
 105 7 
 
 15,000- 20,000 
 
 22.01S 
 
 26,120 
 
 19,311 
 
 86 6 
 
 117.1 
 
 20,000 25.000 
 
 12,05:; 
 
 11,011 
 
 10,726 
 
 92.2 
 
 120 s 
 
 25,000 30,000 
 
 s.055 
 
 8,558 
 
 0,705 
 
 01 1 
 
 120.1 
 
 30,000- 40,000 
 
 10,068 
 
 9,731 
 
 7,854 
 
 103 5 
 
 128 2 
 
 40,000- 50,000 
 
 5,611 
 
 5,202 
 
 1,362 
 
 107.2 
 
 128 6 
 
 50,000- 00,000 
 
 3,621 
 
 3,189 
 
 2,730 
 
 113 . 5 
 
 132.6 
 
 60,000 70,000 
 
 2.5 is 
 
 2.120 
 
 1,857 
 
 110 s 
 
 107 2 
 
 70,000 80,000 
 
 1,787 
 
 1,499 
 
 1,334.8 
 
 ll.l 2 
 
 133 o 
 
 80,000 90,000 
 
 1,422 
 
 1,102 
 
 ooo s 
 
 12:) o 
 
 1 12 7 
 
 90,000- 100,000 
 
 1,074 
 
 847 
 
 777 5 
 
 126 s 
 
 138.1 
 
 100,000- 150,000 
 
 2,900 
 
 2,282.1 
 
 2,158. 1 
 
 127 1 
 
 101 1 
 
 150,000- 200.000 
 
 1,284 
 
 982 
 
 972.1 
 
 130.7 
 
 132.1 
 
 200,000- 250,000 
 
 726 
 
 52S . 2 
 
 500.9 
 
 137 I 
 
 134.5 
 
 250,000- 300,000 
 
 127 
 
 321.9 
 
 337.6 
 
 1.12 
 
 126.5 
 
 300,000- 400,000 
 
 169 
 
 6.1 
 
 395.3 
 
 L23.1 
 
 lis 
 
 400,000- 500,000 
 
 215 
 
 196 s 
 
 219 o 
 
 124.5 
 
 111.6 
 
 500,000-1,000,000 
 
 376 
 
 329.6 
 
 :;s7 i 
 
 111 1 
 
 07 1 
 
 1,000,000 1.500.000 
 
 97 
 
 35 83 
 
 108.7 
 
 113.0 
 
 89 2 
 
 1.500,000-2,000,000 
 
 12 
 
 36.96 
 
 IS VS 
 
 110 6 
 
 85 o 
 
 2,000,000 3,000,000 
 
 .11 
 
 31 os 
 
 11 10 
 
 loo 3 
 
 76.9 
 
 3,000,000-4,000,000 
 
 14 
 
 13.77 
 
 19 91 
 
 0)1 7 
 
 70.3 
 
 4,000,000 5.0011.000 
 
 9 
 
 7 10 
 
 11.05 
 
 121 6 
 
 si 1 
 
 5.(100,000 and over 
 
 10 
 
 19.76 
 
 32 s7 
 
 50 
 
 30 1 
 
 Total (over $4,000 
 
 344,279 
 
 510,374.00 
 
 344,279.00 
 

 
 360 
 
 PERSONAL DISTRIBUTION OF INCOME IN U. S. 
 
 
 
 TABLE 28E 
 
 
 
 
 UNITE 
 
 -D STATES 1 
 A 
 
 NCOME-TAX 
 
 : RETURNS, : 
 n 
 
 L917 
 
 
 
 TT S 
 
 13 
 
 Straight line 
 
 Per 
 
 Per 
 
 Income class 
 
 income-tax 
 returns 
 
 Least-squares 
 straight line 
 
 giving correct 
 total returns 
 
 cent 
 A is 
 
 cent 
 A is 
 
 
 
 and income 
 
 of B 
 
 of C 
 
 S 1,000-$ 2,000 
 
 (1,640,758) 
 
 
 
 
 
 2,000- 2,500 
 
 480,486 
 
 618,069 
 
 517,512 
 
 77.7 
 
 92.8 
 
 2,500- 3,000 
 
 358,221 
 
 367,835 
 
 284,620 
 
 97.4 
 
 125.9 
 
 3,000- 4,000 
 
 374,958 
 
 407,366 
 
 376,117 
 
 92.0 
 
 99.7 
 
 4,000- 5,000 
 
 185,805 
 
 212,569 
 
 184,854 
 
 87.4 
 
 100.5 
 
 5,000- 6,000 
 
 105,988 
 
 126,507 
 
 111,097 
 
 83.8 
 
 95.4 
 
 6,000- 7,000 
 
 64,010 
 
 82,746 
 
 73,355 
 
 77.4 
 
 87.3 
 
 7,000- 8,000 
 
 44,363 
 
 57,357 
 
 51,285 
 
 77.3 
 
 86.5 
 
 8,000- 9,000 
 
 31,769 
 
 41,556 
 
 37,362 
 
 76.4 
 
 85.0 
 
 9,000- 10,000 
 
 24,536 
 
 31,551 
 
 28,551 
 
 77.8 
 
 85.9 
 
 10,000- 11,000 
 
 19,221 
 
 24,097 
 
 21,900 
 
 79.8 
 
 87.8 
 
 11,000- 12,000 
 
 15,035 
 
 19,412 
 
 17,747 
 
 77.5 
 
 84.7 
 
 12,000- 13,000 
 
 12,328 
 
 15,707 
 
 14,440 
 
 78.5 
 
 85.4 
 
 13,000- 14,000 
 
 10,427 
 
 12,751 
 
 11,761 
 
 81.8 
 
 88.7 
 
 14,000- 15,000 
 
 8,789 
 
 10,709 
 
 9,909 
 
 82.1 
 
 88.7 
 
 15,000- 20,000 
 
 29,896 
 
 34,161 
 
 31,891 
 
 87.5 
 
 93.7 
 
 20,000- 25,000 
 
 16,806 
 
 17,825 
 
 16,876 
 
 94.3 
 
 99.6 
 
 25,000- 30,000 
 
 10,571 
 
 10,609 
 
 10,159 
 
 99.6 
 
 104.1 
 
 30,000- 40,000 
 
 12,733 
 
 11,749 
 
 11,385 
 
 108.4 
 
 111.8 
 
 40,000- 50,000 
 
 7,087 
 
 6,130 
 
 6,021 
 
 115.6 
 
 117.7 
 
 50,000- 60,000 
 
 4,541 
 
 3,649 
 
 3,622 
 
 124.4 
 
 125.4 
 
 60,000- 70,000 
 
 2,954 
 
 2,387 
 
 2,391 
 
 123.8 
 
 123.5 
 
 70,000- 80,000 
 
 2,222 
 
 1,653.5 
 
 1,672 
 
 134.4 
 
 132.9 
 
 80,000- 90,000 
 
 1,539 
 
 1,198.5 
 
 1,217.9 
 
 128.4 
 
 126.4 
 
 90,000- 100,000 
 
 1,183 
 
 910.0 
 
 930.8 
 
 130.0 
 
 127.1 
 
 100,000- 150,000 
 
 3,302 
 
 2,384.4 
 
 2,469.5 
 
 138.5 
 
 133.7 
 
 150,000- 200,000 
 
 1,302 
 
 985.2 
 
 1,039.6 
 
 132.2 
 
 125.2 
 
 200,000- 250,000 
 
 703 
 
 514.1 
 
 550.5 
 
 136.7 
 
 127.7 
 
 250,000- 300,000 
 
 342 
 
 305.9 
 
 330.8 
 
 111.8 
 
 103.4 
 
 300,000- 400,000 
 
 380 
 
 338.9 
 
 371.2 
 
 112.1 
 
 102.4 
 
 400,000- 500,000 
 
 179 
 
 176.8 
 
 196.3 
 
 101.2 
 
 91.2 
 
 500,000- 750,000 
 
 225 
 
 199.96 
 
 225 . 56 
 
 112.5 
 
 99.8 
 
 750,000-1,000,000 
 
 90 
 
 82.61 
 
 94.97 
 
 108.9 
 
 94.8 
 
 1,000,000-1,500,000 
 
 67 
 
 68.77 
 
 80.51 
 
 97.4 
 
 83.2 
 
 1,500,000-2,000,000 
 
 33 
 
 28.42 
 
 33.90 
 
 116.1 
 
 97.3 
 
 2,000,000-3,000,000 
 
 24 
 
 23.65 
 
 28.71 
 
 101.5 
 
 83.6 
 
 3,000,000-4,000,000 
 
 5 
 
 9.77 
 
 12.10 
 
 51.2 
 
 41.3 
 
 4,000,000-5,000,000 
 
 8 
 
 5.10 
 
 6.40 
 
 156.9 
 
 125.0 
 
 5,000,000 and over 
 
 4 
 
 12.42 
 
 16.25 
 
 32.2 
 
 24.6 
 
 Total (over $2,000) 
 
 1,832,132 
 
 2,123,640.00 
 
 1,832,132.00 
 
 
 
 s
 
 PARETO'S LAW 
 
 361 
 
 TABLE 28F 
 
 UNITED STATES INCOME-TAX RETURNS, 1918 
 
 
 A 
 
 B 
 
 C 
 
 
 
 
 U.S. 
 
 income-tax 
 
 returns 
 
 
 Straight line 
 
 Per 
 
 Per 
 
 Income class 
 
 Least-squares 
 straight line 
 
 giving correct 
 total returns 
 
 cent 
 
 A is 
 
 cent 
 
 A is 
 
 
 
 and income 
 
 of B 
 
 of C 
 
 $ 1,000-8 2,000 
 
 (1,516,938) 
 
 
 
 
 
 2,000- 3,000 
 
 1,496,878 
 
 1,375,372 
 
 1,470,366 
 
 108.8 
 
 101.8 
 
 3,000- 4,000 
 
 610.095 
 
 537,892 
 
 566,044 
 
 113.4 
 
 107.8 
 
 4,000- 5,000 
 
 322,241 
 
 269,674 
 
 280.477 
 
 lit :, 
 
 114.9 
 
 5,000- 6,000 
 
 126,554 
 
 155,513 
 
 160,300 
 
 81 4 
 
 78.9 
 
 6,000- 7,000 
 
 79,152 
 
 99,102 
 
 101,389 
 
 79.9 
 
 78.1 
 
 7,000- 8,000 
 
 51,381 
 
 07,ls 1 
 
 0S.25S 
 
 76.5 
 
 75 3 
 
 8,000- 9,000 
 
 35,117 
 
 17,740 
 
 48,266 
 
 73.6 
 
 72.8 
 
 9,000- 10,000 
 
 27,152 
 
 35,628 
 
 35,795 
 
 70.2 
 
 75.9 
 
 10,000- 11,000 
 
 20,414 
 
 26,793 
 
 26,832 
 
 70.2 
 
 76.1 
 
 11,000- 12,000 
 
 16,371 
 
 21,283 
 
 21,231 
 
 76.9 
 
 77.1 
 
 12,000- 13,000 
 
 13,202 
 
 16,999 
 
 16,873 
 
 77.7 
 
 78.2 
 
 13,000- 14,000 
 
 10,882 
 
 13,638 
 
 13,515 
 
 79. s 
 
 80.5 
 
 14,000- 15,000 
 
 9,123 
 
 11,328 
 
 11,105 
 
 80 5 
 
 81.7 
 
 15,000- 20,000 
 
 30,227 
 
 35,214 
 
 34,4s0 
 
 85 8 
 
 87.7 
 
 20,000- 25,000 
 
 16,350 
 
 17,05 1 
 
 17,097 
 
 92.6 
 
 95.6 
 
 25,000- 30,000 
 
 10,206 
 
 10,181 
 
 9,762 
 
 100.2 
 
 101 5 
 
 30,000- 40,000 
 
 11,887 
 
 10,886 
 
 10,330 
 
 109.2 
 
 115 
 
 40,000- 50,000 
 
 6,449 
 
 5,458 
 
 5,121 
 
 lis 2 
 
 125 9 
 
 50,000- 60,000 
 
 3,720 
 
 3,147 
 
 2,928 
 
 US. 2 
 
 127.0 
 
 00,000- 70,000 
 
 2,441 
 
 2,000 
 
 1,852 
 
 121.7 
 
 131 s 
 
 70,000- 80,000 
 
 1,691 
 
 1,359.5 
 
 1,246 
 
 124.4 
 
 135.7 
 
 80,000- 90,000 
 
 1,210 
 
 000.2 
 
 SSI. 4 
 
 125.2 
 
 137.3 
 
 90,000- 100,000 
 
 934 
 
 721.0 
 
 053.7 
 
 12.1.5 
 
 142 .9 
 
 100,000- 150,000 
 
 2,358 
 
 1.S22 3 
 
 1,036.3 
 
 129.4 
 
 141 1 
 
 150,000- 200,000 
 
 866 
 
 712.7 
 
 629.8 
 
 121.5 
 
 137 5 
 
 200,000- 250,000 
 
 401 
 
 357 3 
 
 312.1 
 
 112.2 
 
 128 5 
 
 250,000 300, 000 
 
 217 
 
 200 . 
 
 17S.3 
 
 119.9 
 
 138. 5 
 
 300,000- 400,000 
 
 260 
 
 220.3 
 
 188.7 
 
 118.0 
 
 137.8 
 
 400,000- 500,000 
 
 122 
 
 110.5 
 
 93 . :^ 
 
 110.4 
 
 130.4 
 
 500,000- 750,000 
 
 132 
 
 119.28 
 
 99.70 
 
 110.7 
 
 132 4 
 
 750,000-1,000,000 
 
 40 
 
 46.66 
 
 38.30 
 
 98.6 
 
 119.9 
 
 1,000,000-1,500,000 
 
 33 
 
 36.88 
 
 29 ss 
 
 S9.5 
 
 110.4 
 
 1,500,000-2,000,000 
 
 16 
 
 14.42 
 
 11.50 
 
 111.0 
 
 139.1 
 
 2,000,000-3,000,1 too 
 
 11 
 
 11.40 
 
 8.96 
 
 96.5 
 
 122.8 
 
 3,000,000-4,000,000 
 
 4 
 
 4.46 
 
 3.44 
 
 89 7 
 
 110 :\ 
 
 4,000,000-5,000,000 
 
 9 
 
 2.24 
 
 1.71 
 
 89.3 
 
 117.0 
 
 5,000,000 and over 
 
 1 
 
 4.86 
 
 3.60 
 
 20 6 
 
 27 s 
 
 Total (over $2,000) 
 
 2,908,176 
 
 2,769,408.00 
 
 2,908,176.00 
 
 

 
 3G2 
 
 PERSONAL DISTRIBUTION OF INCOME IN U. S. 
 
 TABLE 28G 
 
 UNITED STATES INCOME-TAX RETURNS, 1919 
 
 
 A 
 
 B 
 
 C 
 
 
 
 
 
 U. S. 
 
 income-tax 
 returns 
 
 
 Straight line 
 
 Per 
 
 Per 
 
 Income class 
 
 Least-squares 
 
 straight line 
 
 giving correct 
 total returns 
 
 cent 
 A is 
 
 cent 
 A is 
 
 
 
 
 and income 
 
 of B 
 
 of C 
 
 $ 1,000-$ 2,000 
 
 (1,924,872) 
 
 
 
 
 
 2,000- 
 
 3,000 
 
 1,569,741 
 
 1,984,285 
 
 1,673,688 
 
 79.1 
 
 93.8 
 
 3,000- 
 
 4,000 
 
 742,334 
 
 764,739 
 
 660,950 
 
 97.1 
 
 112.3 
 
 4,000- 
 
 5,000 
 
 438,154 
 
 379,330 
 
 333,645 
 
 115.5 
 
 131.3 
 
 5,000- 
 
 6,000 
 
 167,005 
 
 216,921 
 
 193,470 
 
 77.0 
 
 86.3 
 
 6,000- 
 
 7,000 
 
 109,674 
 
 137.278 
 
 123,953 
 
 79.9 
 
 88.5 
 
 7,000- 
 
 8,000 
 
 73,719 
 
 92,511 
 
 84,273 
 
 79.7 
 
 87.5 
 
 8,000- 
 
 9,000 
 
 50,486 
 
 65,403 
 
 60,066 
 
 77.2 
 
 84.1 
 
 9,000- 
 
 10,000 
 
 37,967 
 
 48,583 
 
 44,980 
 
 78 1 
 
 84.4 
 
 10,000- 
 
 11,000 
 
 28,499 
 
 36,386 
 
 33,887 
 
 78.3 
 
 84.1 
 
 11,000- 
 
 12,000 
 
 22,841 
 
 28,796 
 
 27,027 
 
 79.3 
 
 84.5 
 
 12,000- 
 
 13,000 
 
 18,423 
 
 22,921 
 
 21,600 
 
 80.4 
 
 85.3 
 
 13,000- 
 
 14,000 
 
 15,248 
 
 18,329 
 
 17,395 
 
 83.2 
 
 87.7 
 
 14,000- 
 
 15,000 
 
 12,841 
 
 15,181 
 
 14,459 
 
 84.6 
 
 88.8 
 
 15,000- 
 
 20,000 
 
 42,028 
 
 46,868 
 
 45,162 
 
 89.7 
 
 93.1 
 
 20,000- 
 
 25,000 
 
 22,605 
 
 23,249 
 
 22,797 
 
 97.2 
 
 99.2 
 
 25,000- 
 
 30,000 
 
 13,769 
 
 13,294 
 
 13,228 
 
 103.6 
 
 104.1 
 
 30,000- 
 
 40,000 
 
 15,410 
 
 14,084 
 
 14,219 
 
 109.4 
 
 108.4 
 
 40,000- 
 
 50,000 
 
 8,298 
 
 6,986 
 
 7,178 
 
 118.8 
 
 115.6 
 
 50,000- 
 
 60,000 
 
 5,213 
 
 3,994 
 
 4,162 
 
 130.5 
 
 125.3 
 
 60,000- 
 
 70,000 
 
 3,196 
 
 2,528 
 
 2,665 
 
 126 4 
 
 119.9 
 
 70,000- 
 
 80,000 
 
 2,237 
 
 1,704 
 
 1,813 
 
 131.3 
 
 123.4 
 
 80,000- 
 
 90,000 
 
 1,561 
 
 1,205 
 
 1,292 
 
 129.5 
 
 120.8 
 
 90,000- 
 
 100,000 
 
 1,113 
 
 894 
 
 968.3 
 
 124 . 5 
 
 114.9 
 
 100,000- 
 
 150,000 
 
 2,983 
 
 2,240 
 
 2,461.5 
 
 133.2 
 
 121.2 
 
 150,000- 
 
 200,000 
 
 1,092 
 
 863.2 
 
 971.6 
 
 126.5 
 
 112.4 
 
 200,000- 
 
 250,000 
 
 522 
 
 428.1 
 
 490.4 
 
 121.9 
 
 106.4 
 
 250,000- 
 
 300,000 
 
 250 
 
 245.0 
 
 284.4 
 
 102.0 
 
 87.9 
 
 300,000- 
 
 100,000 
 
 285 
 
 259 . 2 
 
 306.0 
 
 110.0 
 
 93.1 
 
 400,000- 
 
 500,000 
 
 140 
 
 128.6 
 
 154.4 
 
 108.9 
 
 90.7 
 
 500,000- 
 
 750,000 
 
 129 
 
 137.32 
 
 168 . 2 
 
 93 . 9 
 
 76.7 
 
 750,000- 
 
 1,000,000 
 
 60 
 
 52.89 
 
 66.4 
 
 113.4 
 
 90.4 
 
 1,000,000- 
 
 1,500.000 
 
 34 
 
 41 . 25 
 
 52.95 
 
 82.4 
 
 64.2 
 
 1,500,000- 
 
 2,000,000 
 
 13 
 
 15.89 
 
 20 . 90 
 
 81.8 
 
 02 . 2 
 
 2,000,000- 
 
 5,000,000 
 
 7 
 
 12.40 
 
 16.68 
 
 56.5 
 
 42.0 
 
 3,000,000 and over 
 
 11 
 
 12.15 
 
 17.27 
 
 90.5 
 
 63.7 
 
 Total (over $2,000) 
 
 3,407,888 
 
 3,929,905.00 
 
 3,407,888.00 
 
 
 
 s
 
 PARETO'S LAW 
 
 363 
 
 Why do the least-squares straight lines appear graphically such good 
 fits to the cumulative distributions (for at least the later years) when a 
 merely arithmetic analysis shows even this fit to the cumulative data to 
 be so illusory? Because the percentage range in the number of persons is so 
 extremely wide. The deviations of the cumulative data on a double log 
 scale from the least-squares straight line are minute when compared with 
 the percentage changes in the data from the smallest to the largest incomes. 
 But this is not helpful. The fact that there are 100,000 times as many 
 persons having incomes over $2,000 per annum as there are persons 
 having incomes over 85,000,000 per annum, does not make a theoretical 
 reading for a particular income interval of twenty or thirty per cent over 
 or under the data reading an unimportant deviation. Charting data on 
 a double log scale may thus become a fertile source of error unless ac- 
 companied by careful interpretation. 1 This fact has long been recognized 
 by engineers and others who have had much experience with similar prob- 
 lems in curve fitting. 
 
 Another matter of some importance must be noted here. The devia- 
 tions of the data from the straight lines mighl be much less than they are 
 and yet constitute extremely bad fits. The data points (even on a non- 
 cumulative basis) do not flutter erratically from side to side of the fitted lines; 
 they run smoothly, passing through the fitted line at small angles in the way 
 that one curve cuts <nt<>th< r. Now, in curve fitting, such a condition always 
 strongly suggests that the particular mathematical curve used is not in 
 any sense the "law" of the data. 
 
 2. Are the slopes of the straight lines fitted to income data 
 from different times and places similar in any significant degree? 
 
 1 Tho dangers of fitting curves with such a combination as a cumulative distribution and 
 a double log scale, withoul further analysis, is well illustrated by the results Professor Pareto 
 obtained tor Oldenburg. To the Oldenburg data he fitted the rather complicated equation 
 log N = log A — a log I x + a) — 8x and obtained the following results. (The value Pareto 
 gives for ,1 namely .0000631, does not check with his calculated figures given below. |3 = 
 .001)0271 is evidently what he intended.) 
 
 
 X 
 
 Logarithms of X 
 
 
 marks (over) 
 
 Observed 
 
 Calculated 
 
 A 
 
 300 
 
 600 
 
 900 
 
 1,500 
 
 3,000 
 
 6,000 
 
 9,000 
 
 15,300 
 
 30,000 
 
 5 1 .309 
 
 24,043 
 
 16,660 
 
 9,631 
 
 3,502 
 
 994 
 
 No 
 
 1 10 
 
 25 
 
 1 73 1'. > 
 4.3810 
 4.2217 
 3 9837 
 :; 54 13 
 
 2 9974 
 2.6484 
 2. 1461 
 L.3979 
 
 1. 7349 
 4.4368 
 4 . 231 1 1 
 3 9409 
 3 5008 
 2.9997 
 2.6671 
 2. 1838 
 1.3364 
 
 — .0558 
 —.0086 
 + .0428 
 + .0435 
 
 — .0023 
 -.0187 
 
 H377 
 + .0615 
 
 (From Coins d'Economie Politique, vol. II, p. 307.) 
 
 The above table may give the reader a vague idea that the tit is rather g 1. However, 
 
 from the above table the following table may he directly derived: 
 (Note concluded page 364.)
 
 364 
 
 PERSONAL DISTRIBUTION OF INCOME IN U. S. 
 
 If income distributions charted on a double log scale not only cannot 
 be approximately represented by straight lines, but also differ radically 
 
 (Note 1 page 363 concluded.) 
 
 
 Number of persons 
 
 
 Income in marks 
 
 Actual 
 
 Computed 
 
 of computed 
 
 300- 600 
 
 600- 900 
 
 900- 1,500 
 
 1,500- 3,000 
 
 3,000- 6,000 
 
 6,000- 9,000 
 
 9,000-15,300 
 
 15,300-30,000 
 
 Over 30,000 
 
 30,266 
 
 7,383 
 
 7,029 
 
 6,129 
 
 2,508 
 
 549 
 
 305 
 
 115 
 
 25 
 
 26,969 
 
 10,342 
 
 8,270 
 
 5,560 
 
 2,169 
 
 534 
 
 312 
 
 131 
 
 22 
 
 112.2 
 
 71.4 
 
 85.0 
 
 110.2 
 
 115.6 
 
 102.8 
 
 97.8 
 
 87.8 
 
 113.6 
 
 Total 
 
 54,309 
 
 54,309 
 
 100.0 
 
 The fit no longer impresses one as quite so good. See Chart 28H below. 
 
 ■/OO, 
 
 •70000 
 
 ■1000 
 
 I 
 I 
 
 1 
 
 ■too 
 
 3 
 
 i 
 
 CHART 28 H 
 
 OLDENBURG 
 
 INCOME TAX RETURNS 
 1890 
 CUMULATIVE FREQUENCY DISTRIBUTION 
 WITH TWO FITTED CURVES 
 
 (t) log y= 9.0077- I.63ZI log z (least squares straight line) 
 ft) log y =3.72204 -1. 465 log (x+220) - . 0000274 x 
 (Pareto's Seconal approx/rr?a//on.) 
 
 Scales Logarithmic 
 
 6 
 
 i 
 
 /rtCOME /// HUTiDFEDS OF MARKS 
 9 75 30 60 90 
 
 30 
 
 -J- 
 
 60 
 _l
 
 PARETO'S LAW 
 
 365 
 
 in shape, it is of course not of great importance whether the straight lines 
 fitted to such data from different times and places have or have not ap- 
 proximately constant slopes. For example, a comparison of Chart 28C 
 showing the cumulative distribution of United States income-tax returns 
 for 1915 on a double log scale and Chart 28 F showing similar data for 
 1918, makes it plain that, even were the slopes of the fitted straight lines 
 for the two years identical, the data curves would still be so different as 
 to make the similarity of slope of the fitted lines of almost no significance. 1 
 In considering slopes, let us examine further both the data and the 
 fitted lines for these two years 1915 and 1918. Tables 281 and 28J give 
 some numerical illustrations of the differences between the distributions 
 for the two years. Table 281 gives the number of returns in each income 
 interval each year and the percentages that the 1918 figures are of the 
 1915 figures. 
 
 TABLE 281 
 
 COMPARISON OF UNITED STATES INCOME-TAX RETURNS FOB 
 
 1915 AND 1918 
 
 Income class 
 
 Number of returns 
 
 Ratio of 1918 
 
 
 1915 
 
 1918 
 
 to 1915 
 
 $ 4,000 a-$ 5,000 
 
 58,949 
 
 120,402 
 
 34,102 
 
 16,475 
 
 9,707 
 
 6,196 
 
 7,005 
 
 1,100 
 
 6,847 
 
 1,793 
 
 724 
 
 3X6 
 
 216 
 
 25 1 
 
 122 
 
 209 
 
 120 
 
 322,241 
 
 319,356 
 
 69,992 
 
 30,227 
 
 16,350 
 
 10,206 
 
 11,887 
 
 6,4 19 
 
 9,996 
 
 2,358 
 
 S66 
 
 401 
 
 247 
 
 260 
 
 122 
 
 ITS 
 
 67 
 
 5.4664 
 
 5,000- 10,000 
 
 2.6524 
 
 10,000- 15,000 
 
 15,000- 20,000 
 
 2.0524 
 
 1.8347 
 
 20,000- 25,000 
 
 1.6844 
 
 25,000- 30,000 
 
 1.6472 
 
 30,000- 40,000 
 
 1.6969 
 
 40,000- 50,000 
 
 1 . 5729 
 
 50,000- 100,000 
 
 1.45! 19 
 
 100,000- 150,000 
 
 1.3151 
 
 150,000- 200,000 
 
 1 . 1961 
 
 200,000- 250,000 
 
 1 . 0389 
 
 250,000- 300,000 
 
 1 1435 
 
 300 000- 400 OIK) 
 
 1 0236 
 
 400,000- 500,000 
 
 1 0000 
 
 500,000-1,000,000 
 
 8517 
 
 1,000,000 and over 
 
 .5583 
 
 a The $3, 000-84, 000 class is not included, as in 1915 married persons in that class were 
 exempted while in 1918 they were not. 
 
 The change as we pass from the $4,000-$5,000 interval, where the 1918 
 figures are nearly five-and-a-half times the 1915 figures, to the intervals 
 above $500,000, where the 1918 figures are actually less than the 1915 
 figures, illustrates the great and fundamental difference between the slopes 
 of the two distributions. However, such a comparison of unadjusted 
 
 1 Compare also the deviations from the fitted lines as given in Tables 28< ' and 28F.
 
 366 
 
 PERSONAL DISTRIBUTION OF INCOME IN U. S. 
 
 money intervals, while it throws into relief the differences in slope of the 
 two distributions, is by no means as enlightening for purposes of exhibiting 
 their other essential dissimilarities as a comparison of the two sets of data 
 after they have been adjusted for changes in average (per capita) income 
 and changes in population. Table 28 J gives some comparisons between the 
 data for the two years and between the fitted lines for the two years on 
 such an adjusted basis. Two intervals, one in the relatively low income 
 range and the other in the high income range, are used to illustrate the 
 essentially different character of the distributions for the two years. 
 
 TABLE 28J 
 
 COMPARISONS OF UNITED STATES INCOME-TAX RETURNS FOR THE YEARS 1915 AND 
 1918 ADJUSTED FOR CHANGES IN AVERAGE (PER CAPITA) INCOME AND CHANGES 
 IN POPULATION 
 
 ACTUAL INCOME-TAX DATA 
 
 Income intervals 
 
 Number of returns 
 (1) (2) 
 
 Fraction of population 
 (3) (4) 
 
 Ratio of 
 
 Column (4) 
 
 to Column (3) 
 
 
 1915 
 
 1918 
 
 1915 
 
 191S 
 
 
 Between 12 and 13 
 times average income 
 
 21,190 
 
 31,197 
 
 .00021099 
 
 .00029!)!."". 
 
 1.4193 
 
 Between 1,200 and 1,300 
 
 times average income 
 
 43.85 
 
 20 37 
 
 . 0000004366 
 
 OOOOOOl'.t:,:. 
 
 .4478 
 
 Over 12 times average 
 income 
 
 248,600 
 
 271,452 
 
 .002 17536 
 
 .00260561 
 
 1 0526 
 
 
 Amount in dollars 
 
 Per cent of total income 
 
 
 Over 12 times average 
 income 
 
 1915 
 $4,283,010,735 
 
 1918 
 $5,312,832,516 
 
 1915 
 11.9% 
 
 191S 
 8.7% 
 
 . 7311 
 
 LEAST-SQUARES STRAIGHT LINES 
 
 Income intervals 
 
 Number of returns 
 (1) (2) 
 
 Fraction of population 
 (3) (4) 
 
 Ratio of 
 Column (4) 
 to Column (3) 
 
 
 1915 
 
 1918 
 
 1915 
 
 1918 
 
 
 Between 12 and 13 
 times average income 
 
 32,886 
 
 41,730 
 
 .00032745 
 
 .00040056 
 
 1 . 2233 
 
 Between 1,200 and 1,300 
 times average income 
 
 47.63 
 
 17.10 
 
 .0000004743 
 
 .0000001641 
 
 .3460 
 
 STRAIGHT LINES FITTED TO GIVE THE SAME TOTAL NUMBER OF RETURNS AND THE 
 SAME TOTAL INCOME AS THE INCOME-TAX DATA 
 
 Income intervals 
 
 Number of returns 
 (1) (2) 
 
 Fraction of population 
 (3) (4) 
 
 Ratio of 
 
 Column (4) 
 
 to Column (3) 
 
 
 1915 
 
 litis 
 42,460 
 
 1915 
 
 191S 
 
 
 Between 12 and 13 
 
 times average income 
 
 24,510 
 
 . 00024405 
 
 . 00040756 
 
 1 . 6700 
 
 Between 1,200 and 1.300 
 times average income 
 
 54.73 
 
 14.15 
 
 . 0000005450 
 
 .0000001358 
 
 .2492 
 
 <*
 
 PARKTO'S LAW 
 
 367 
 
 NOTES TO TABLE 28J 
 "Average Income" Intervals 
 
 
 1915 
 
 1918 ■" 
 
 
 S 358 
 
 1,296 
 
 4.654 
 
 129,600 
 
 ■165, 400 
 
 586 
 
 12 times average income 
 
 13 " " " 
 
 : i 132 
 
 7.618 
 
 1 200 " " " 
 
 703 200 
 
 l 300 " 
 
 761. MID 
 
 
 
 Equations of Fitted Straight Lines on a Cumulative Double Log B 
 
 
 hues 
 
 Lines giving correct total 
 
 number of returns and 
 
 total income 
 
 1914 
 
 y 
 y 
 y 
 y 
 y 
 y 
 
 = 11.153322 — 1.559256 \ 
 = 10 643299 1 -119579 \ 
 = 10.839435 — 1 424638 \ 
 
 = 11 . 111! .116 - 1 53 6 x 
 
 = 12.033697— 1 .693823 x 
 = 12.320963— 1.734802x 
 
 y = 111 557242 — 1 420936 x 
 
 1915 
 
 v = 10 202382 — 1 32 
 
 1916 
 
 v = in 212702 - 1 .298088 \ 
 v = 11.170980— 1 186817 \ 
 v = 12 202452— 1 .738497 s 
 y = 12 . 036155 — 1 . 6672 5 3 i 
 
 1917 
 
 1919 
 
 Tabic 28J needs little discussion. In the section treating actual income- 
 tax data we notice that while the adjusted number of returns in the lower 
 income interval ' increased 41.93 per cent from 1915 to 1918, the adjusted 
 number of returns in the upper income interval 2 decreased 55.22 per cent. 
 Moreover, while the adjusted total number of returns above 1 the " 12-times- 
 average-income" point increased 5.20 per cent, the adjusted amount of 
 income reported in these returns decreased 26.89 per cent. 
 
 Such figures suggest a rather radical change in the distribution of in- 
 come during this short three-year period. Similar conclusions may be 
 drawn from the figures for 1 he two pairs of fitted lines, though we must 
 of' course remember that these lines describe only very inadequately the 
 actual data. The lines so fitted as to give each year the same total number 
 of returns and total amount of income as the data for that year yield 
 sensational results. While the adjusted number of returns in the lower 
 income-interval increased 67 per cent, the adjusted number of returns 
 in the upper income-interval decreased 75. OS per cent. 
 
 Finally, it has been suggested that changes in the characteristics of the 
 tax-income-distribution in the United States from L915 to 1918 may be 
 accounted for as the results of the increase in the surtax rates with 1917. 
 We do not believe any large part of these changes can be so accounted 
 for. Notwithstanding the fact that the country entered the European 
 war during the interval, the difference between the 1915 distribution and 
 the 1918 distribution in the United States, extreme as it is. cannot be said 
 to be unreasonably or unbelievably great. Even the changes in the slope 
 of the least-squares line are not phenomenal. Pareto's Prussian figures 
 contain fluctuations in slope from — 1.G0 to -1.89 while the slope of the 
 least-squares straight line fitted to his Basle data is only — 1.25. The 
 
 1 Between 12 and L3 times the average income (per capita) each year. 
 
 - Between 1,200 and 1,300 times the average income (per capita) each year.
 
 368 PERSONAL DISTRIBUTION OF INCOME IN U. S. 
 
 slopes of the least-squares straight lines fitted to the American data are 
 —1.42 for 1915 and —1.69 for 1918. 
 
 3. If the upper income ranges (or "tails") of income distributions 
 were, when charted on a double log scale, closely similar in shape, 
 would that fact justify the assumption that the lower income ranges 
 were likewise closely similar? 
 
 Before attempting to answer the above question, let us summarize the 
 case we have just made against believing the "tails" significantly similar. 
 We can then discuss how much importance such similarity would have 
 did it exist. 
 
 We have found upon examination that the approximation to straight 
 lines of the tails of income distributions plotted on double log scales is 
 specious; that the slopes of the fitted straight lines differ sufficiently to 
 produce extreme variations in the relative number of income recipients 
 in the upper as compared with the lower income ranges of the tails; 
 that the upper and lower income ranges of the actual data for different 
 times or places tell a similar story of extreme variation; and that the 
 irregularities in shape of the tails of the actual data, entirely aside 
 from any question of approximating or not approximating straight lines 
 of constant slope, vary greatly from year to year and from country to 
 country, ranging all the way from the irregularities of such distributions 
 as the Oldenburg data, through the American data for 1914, 1915 and 1916 
 to such an entirely different set of irregularities as those seen in the Amer- 
 ican data for 1918 1 . 
 
 At this stage of the discussion the reader may ask whether a general 
 appearance of approximating straight lines on a double log scale, poor as the 
 actual fit may be found to be under analysis, has not some meaning, some 
 significance. The answer to this question must be that, if we were not deal- 
 ing with a frequency distribution but with a correlation table showing a 
 relationship between two variables, an approximation of the regression lines 
 to linearity when charted on a double log scale might easily be the clue 
 to a first approximation to a rational law; but that, on the other hand, ap- 
 proximate linearity in the tail of a frequency distribution charted on a double 
 log scale signifies relatively little because it is such a common charac- 
 teristic of frequency distributions of many and varied types. 
 
 The straight line on a double log scale or, in other words, the equation 
 y = bx m , when used to express a relationship between two variables, is, to 
 quote a well-known text on engineering mathematics, "one of the most 
 useful classes of curves in engineering." 2 In deciding what type of equa- 
 tion to use in fitting curves by the method of least squares to data con- 
 
 1 Compare Charts 28H, 28B, 28C, 28D and 28F. 
 
 2 P. Steinmetz, Engineering Mathematics, p. 216.
 
 PARETO'S LAW 369 
 
 cerning two variables the texts usually mention y = bx m as "a quite com- 
 mon case." 1 A recent author writes, "simple curves which approximate 
 a large number of empirical data are the parabolic and hyperbolic curves. 
 The equation of such a curve is y = ax b [y = bx m ], parabolic for b positive 
 and hyperbolic for b negative." 2 A widely used text on elementary 
 mathematics speaks of the equation y = bx m as one of "the three funda- 
 mental functions" in practical mathematics. 3 The market for "logarith- 
 mic paper" shows what a large; number of two-variable relationships may 
 be approximated by this equation. Moreover this equation is often a 
 close first approximation to a rational law. Witness "Boyle's Law." In- 
 deed, sufficient use has not been made of this curve in economic discus- 
 sions of two-variable problems. 
 
 The primary reason why approximation to linearity on a double log 
 scale has no such significance in the case of the tail of a frequency distribu- 
 tion as it often has in the case of a two-variable problem is because of 
 the veiy fact that we are considering the tail of the distribution, in other 
 words, a mere fraction of the data. While frequency distributions which 
 can be described throughout their length by a curve of the type y = bx m are 
 extremely rare, a large percentage of all frequency distributions have tails 
 approximating straight lines on a double log scale. 4 It is astonishing how 
 many homogeneous frequency distributions of all kinds may be described 
 with a fair degree of adequacy by means of hyperbolas 5 fitted to the data 
 on a double log scale. Along with this characteristic goes, of course, the 
 possibility of fitting to the tails of such distributions straight lines approxi- 
 mately parallel to the asymptotes of the fitted hyperbola. However we 
 have by no means adequately described an hyperbola when we have 
 stated the fact that one of its asymptotes is (of course) a straight line and 
 that its slope is such and such. Had we even similar information con- 
 cerning the other asymptote also, we should know little about the hyper- 
 bola or the frequency distribution which it would describe on a double 
 log scale. The hyperbola might coincide with its asymptotes and hence 
 have an angle at the mode or it might have a very much rounded "top." 
 Such a variation in the shape of the top of the hyperbola G would generally 
 correspond to a very great variation in the scatter or "inequality" of the 
 distribution as well as many other characteristics. 
 
 1 D. P. Bartlett, Method of Last S,/mirt s, p. 33. 
 
 2 J. Lipka, Graphical and Mechanical Computation, p. 128. 
 
 3 C. S. Sliehter, Elementary Mathematical Analysis, preface. 
 
 4 A very large percentage of the remainder have tails approximating straight lines on a 
 natural x log y basis. 
 
 6 N. B. Not a straight line on tin (Inutile log scale, which is a so-called hyperbola on the 
 natural scale, but a true conic section hyperbola on tin doutilt In,] sent, . 
 
 Charts 28K and 28L (Earnings per Hour of 318,946 Male Employees in 1919) illustrate 
 how excellent a fit may often be obtained by means of an hyperbola even though lifted only 
 by selected points. A comparison of the least-squares parabola and the selected-points 
 hyperbola on Chart 28K illustrates also the straight-tail effect. 
 
 6 Compare Karl Pearson's concept of "kurtosis."
 
 370 
 
 PERSONAL DISTRIBUTION OF INCOME IN U. S. 
 
 S
 
 PAKITOS LAW 
 
 371 
 
 Rough similarity in the tails of two distributions on a double log scale 
 by no means proves even rough similarity in the remainder of the dis- 
 tributions. Charts 28M, 28N, 280 and 28P illustrate both cumulatively 
 
 100,000 
 
 u 
 10.000J 
 
 
 1.000 © 
 
 as 
 
 100 
 
 CHART 2S M 
 
 CUMULATIVE FREOUEnCY DISTRIBUTION 
 or 
 RATES OF WAGES PER HOUR 
 
 FOR 
 
 7?.23l MALE EMPLOYEES 
 
 in rn E_ 
 
 SLAUGHTERING & MEATPACKING INDUSTRY 
 IM THE U.S. IM 1917. 
 
 sovKt *w» ' i/iaonsunanasaiiTi/tai 
 Scales Logarithmic 
 
 10 
 
 WAGES IN CENTS PER HOUR 
 IS 20 25 30 40 50 60 
 
 1 .ii .ii
 
 .372 
 
 PERSONAL DISTRIBUTION OF INCOME IN U. S. 
 
 
 
 
 CHART 28 N 
 
 
 
 
 FREQUENCY DISTRIBUTION 
 
 
 
 
 OF 
 
 
 
 
 RATES OF WAGES PER HOUR 
 
 
 
 
 FOR 
 
 
 
 
 7^,2^l MALE EMPLOYEES 
 
 
 
 
 in THE 
 
 
 
 
 SLAUGHTERING &MEAT-PACKI11G INDUSTRY 
 
 
 
 
 IN THE U.S. IN 1917. 
 
 
 
 
 soukc 8/£M0arine&smisrici. ffuuem&t 
 
 
 
 
 Scales Logarithmic 
 
 -10,000 
 
 
 
 
 a 
 
 
 / X 
 
 
 
 
 
 s 
 
 
 / \f. 
 
 
 a. 
 
 
 / v\ 
 
 -1,00( 
 
 s 
 
 w 
 
 Ed 
 
 J 
 
 b. 
 O 
 « 
 
 
 
 -100 
 
 oa 
 
 s 
 
 
 
 -10 
 
 
 
 • 
 
 -] 
 
 
 
 WAGES IN CENTS PER HOUR 
 
 
 
 10 
 
 15 20 25 30 40 50 60 
 
 I 1 1 11 ^^L^_ 
 
 and non-cumulatively on a double log scale two wages distributions whose 
 extreme tails appear roughly to approximate straight lines of about equal 
 slope. 1 Charts 28M and 28N are from data concerning wages per hour 
 of 72,291 male employees in the slaughtering and meat-packing industry 
 in 1917; 2 Charts 280 and 28P are from data concerning wages per hour 
 of 180,096 male employees in 32 manufacturing industries in the United 
 States in 1900. 3 A mere glance at the two non-cumulative distributions 
 will bring home the fact that while they show considerable similarity in 
 the upper income range tails, they are quite dissimilar in the remainder 
 
 'The illustration shows only "rough similarity" in the extreme tails. However, there 
 seems no good reason for believing that even great similarity in the tails proves similarity 
 in the rest of the distribution. It certainly cannot do so in the case of essentially hetero- 
 geneous distributions, such as income distributions. 
 
 2 Bureau of Labor Statistics, Bulletin No. 252. 
 
 3 Twelfth Census of the United States (1900), Special Report on Employees and Wages, 
 Davis R. Dewey. 
 
 ,
 
 PARETO'S LAW 
 
 373 
 
 
 
 
 
 
 
 
 
 CHART 280 
 
 
 
 
 
 
 
 
 
 CUMULATIVE rRWUEHCY DISTRIBUTION 
 
 OF 
 
 RATES OF WAGES PER HOUR 
 
 FOR 
 IS0.096 MALE EMPLOYEES 
 
 
 
 
 -100,000 
 
 
 
 
 
 
 
 32 MANUFACTURING INDUSTRIES 
 
 
 
 
 
 
 
 
 
 IN THE US IN 1900 
 
 
 
 
 
 
 
 
 
 scutes Dittry ii"cr/au3 
 
 
 
 
 
 
 
 
 
 Scales logarithmic 
 
 -10,000 
 
 pa 
 
 » 
 
 Eh 
 O 
 
 
 
 
 
 
 
 
 -1,000 
 
 OS 
 W 
 
 pa 
 
 s 
 
 3 
 2 
 
 
 
 
 
 
 
 
 -100 
 
 
 
 
 WAGES 
 
 IN 
 
 CENTS 
 
 PER HOUR 
 
 
 
 
 10 
 
 15 
 
 20 
 
 25 
 
 30 
 
 40 50 
 
 60 70 80 90 100 
 
 of the curves. Moreover, in spite of this similarity of tails, the slaughtering 
 
 and meat-packing distribution has a coefficient of variation of 30.5 while 
 the manufacturing distribution has a coefficient of 47.7. In other words, 
 the relative scatter or "inequality of distribution" is more than one-and-a- 
 half times as great in the manufacturing data as it is in the slaughtering 
 and meat-packing data. Furthermore, no discussion and explanation of 
 greater essential heterogeneity in the one distribution than in the other 
 will offset the fact that the tails are similar but the distributions are dif- 
 ferent. There seems indeed to be almost no correlation between the slope 
 of the upper-range tail and the degree of scatter in wages distributions. 
 Some distributions showing extremely great scatter have very steep tails, 
 some have not. 1 The frequency curve for the distribution of income in 
 Australia in 1915 is radically different from either the curve for the United 
 States in 1910 constructed by Mr. \Y. I. King or the curve for the United 
 States in 1918 constructed by the National Bureau of Economic Research. 
 
 1 The tails of wage distributions have in general much greater slopes than those of the 
 upper (i. e., income-tax) range of income distributions. This is an outstanding difference 
 between the two distributions. Pareto's conclusions with respect to the convex appearance 
 of the curve for wages are consistent with curves showing number of dollars per income-tax 
 interval traceable to wages but not with actual wage distributions showing number of 
 recipients per wage interval. Distributions based upon income from effort and distributions 
 based upon income from such sources (mostly profits and income from property) as yield the 
 higher incomes seem to have tails the one as roughly straight as the other, indeed many 
 wage distributions have tails more closely approximating straight lines than do income-tax 
 data.
 
 374 
 
 PERSONAL DISTRIBUTION OF INCOME IN U. S. 
 
 
 
 CHART 28 P 
 
 
 
 FREQUENCY DISTRIBUTION 
 
 OF 
 
 RATES OF WAGES PER HOUR 
 
 FOR 
 
 180,096 MALE EMPLOYEES 
 
 IN 
 
 V 32 MANUFACTURING INDUSTRIES 
 
 
 
 \^ IN THE U. S. IN 1900 
 
 \<!q source Dcyt£r wctnsus 
 
 \X> 5cal&5 Loganlhmic 
 
 
 
 
 
 A^ 
 
 -10,009 
 
 
 
 -1,000 
 
 
 
 W 
 w 
 
 s 
 
 
 
 -100 g 
 
 < 
 
 
 
 o 
 
 
 
 O 
 
 NUMBER 
 
 
 
 -1 
 
 
 
 
 10 
 
 WAGES IN CENTS PER HOUR 
 15 20 25 30 40 50 60 70 80 90 100 
 
 Yet all three curves have tails on a double log scale quite as similar as is 
 common with income-tax returns. 1 
 
 From this discussion we may draw the corollary that it is futile to at- 
 tempt to measure changes in the inequality of distribution of income 
 throughout its range by any function of the mere tail of the income fre- 
 quency distribution. It seems unnecessary therefore to discuss Pareto's 
 suggestions on this subject. 
 
 4. Is it probable that the distribution of income is similar enough 
 from year to year in the same country to make the formulation 
 of any useful general "law" possible? 
 
 1 As will be seen in Chapter 29, there seems reason for believing that the extreme difference 
 between the distribution of incomes obtained by the Australian Census and the estimate 
 made by the National Bureau of Economic Research is due largely to difference in definition 
 of income, and income recipient. However, this does not alter the fact that we have here 
 again two distributions with tails as similar as is usual with income-tax distributions and 
 lower ranges about as different as it is possible to imagine. 
 
 W
 
 PARETO'S LAW 375 
 
 Before answering this question we must decide what we should mean 
 by the word similar. If income distributions for two years in the same 
 country were such that each distribution included the same individ- 
 uals and each individual's income was twice as large in the second year 
 as it had been in the first year, it would seem reasonable to speak of the 
 distributions as strictly similar. If in a third year (because of a doubling 
 of population due to some hypothetical immigration) the number of per- 
 sons receiving each specified income size was exactly twice what it was 
 in the second year, it would .^t ill seem reasonable to -peak of the distribu- 
 tions as strictly similar. Tested by any statistical criterion of dispersion 
 which takes account of relative size (such as the coefficient of variation), 
 the dispersion is precisely the same in each of the three years. Moreover 
 the three distributions mentioned above x must necessarily have identically 
 the same shape on a double log scale, and furthermore any two distribu- 
 tions which have identically the same shape on a double log scale '-' must 
 necessarily have the same relative dispersion as measured by such indices 
 as the coefficient of variation, interquartile range divided by median, etc. 
 Approximation to identity of shape on a double log scale seems then a 
 useful concept of "similarity." It is the concept implicit in Pareto's work. 3 
 
 Now we have already found considerable evidence that income dis- 
 tributions are not, to a significant degree, similar in shape on a double log 
 scale. The income-tax tails of income distributions for different times and 
 places neither approximate straight lines of constant slope nor approxi- 
 mate one another; they are of distinctly different shapes. Moreover, such 
 tails do not show in respect of their numbers of income recipients and 
 
 'Or, any distributions whose equations may be reduced to one another by substituting 
 k\X for x and />•_>// for y. 
 
 2 The curve may be thought of as consisting of two parts, which before reduction to log- 
 arithms, would be (1) the positive income section and (2) the negative income section with 
 positive signs. 
 
 •While approximate identity of shape on a natural scale a natural x and log .</ scale, or 
 any other similar criterion would constitute a "law," no such approximate identity of shape 
 on such scales has yet been discovered and it seems difficult to advance any very cogent 
 a priori reasons for expecting it. 
 
 In this connection we must remember thai had we the exact figures for the entire frequency 
 curves of the distribution of income in the United States from year to year, if moreover we 
 could imagine definitions of income and iiimm, ncipient which would be philosophically 
 satisfactory and statistically usable — and if further we managed year by year to describe 
 our data curves adequately by generalized mathematical frequency curves of more or less 
 complicated variety we should not necessarily have arrived at any particularly valuable re- 
 sults. Any series of data may be described to any specified degree of approximation by a 
 power series of the type y = A -f- Bx -\- Cx- -f- Dx* + but such lit is purely em- 
 pirical and absolutely meaningless except as an illustration of MacLaurin's theorem in the 
 differential calculus. We might be able to describe each year's data rather well by one of 
 Karl Pearson's generalized frequency curves, but if the essential characteristic-, of the curve — 
 skewness, kurtosis, etc., changed radically from year to year, description of the data by such 
 a curve might well give no clue whatever as to any "law." Not only might the years be dif- 
 ferent but the fits might be empirical. Profes or Edgeworth has well said that "a close fit 
 of a curve to given statistics is not, per se and apart from a priori reasons, a proof that the 
 curve in question is the form proper to the matter in hand. The curve may be adapted to the 
 phenomena merely as the empirically justified system of cycles and epicycles to the planetary 
 movements, not like the ellipse, in favor of which there is the Newtonian demonstration, as 
 well as the Keplerian observations." Journal of the Royal Statistical Society, vol. 59, p. 533.
 
 37G PERSONAL DISTRIBUTION OF INCOME IN U. S. 
 
 total amounts of income any uniformity of relation to the total number 
 of income recipients and total amount of income in the country, even 
 after adjustments have been made for variations in population and average 
 income. 1 Considerations such as these, reenforce the conclusion which 
 we arrived at from an examination of wage distributions, namely, that 
 there is little necessary relation between the shape of the tail and the shape 
 of the body of a frequency distribution, and have led us to suspect that, 
 even if the tails of income distributions were practically identical in shape, 
 it would be extremely dangerous to conclude therefore that the lower 
 income ranges of the curves were in any way similar. 
 
 A most important matter remains to be discussed. What right have 
 we to assume that the heterogeneity necessarily inherent in all income 
 distribution data is not such as inevitably to preclude not only uniformity 
 of shape of the frequency curve from year to year and country to country 
 but also the very possibility of rational mathematical description of any 
 kind unless based upon parts rather than the whole? What evidence have 
 we as to the extent and nature of heterogeneity in income distribution 
 data? 
 
 In the first place we must remember that lower range incomes are pre- 
 dominantly from wages and salaries, while upper range incomes are pre- 
 dominantly from rent, interest, dividends and profits. 2 While 74.67 per 
 cent of the total income reported in the United States in the $1,000-12,000 
 income interval in 1918 was traceable to ivages and salaries, only 33.10 
 per cent of the income in the $10,000-$20,000 interval was from those 
 sources, and only 15.92 per cent of the income in the $100,000-1150,000 
 interval and 3.27 per cent of the income in the over-$500,000 intervals. 
 On the other hand, while only 1.93 per cent of the total income reported 
 in the $l,000-$2,000 interval in 1918 was traceable to dividends, 23.73 
 per cent was so traceable in the $10,000-120,000 interval, 43.18 per cent 
 in the $100,000-$150,000 interval, and 59.44 per cent in the over-$500,000 
 intervals. 3 The difference in constitution of the income at the upper and 
 
 1 Estimated per cent of total income received by highest 5% of income receivers in United 
 States: 
 
 1913 33 
 
 1914 32 
 
 1915 32 
 
 1916 34 
 
 1917 29 
 
 L918 20 
 
 1919 24 
 
 National Bureau of Economic Research, Income in the United States, vol. 1, p. 116. 
 
 2 Compare Professor A. L. Bowley's paper on "The British Super-Tax and the Distribution 
 of Income," Quarterly Journal of Economies, February, 1914. 
 
 3 Statistics of Income 1918, pp. 10 and 44. 
 
 While the reporting of dividends was almost certainly less complete in the lower than in 
 the upper income classes, the difference could not be sufficient to invalidate the general con- 
 clusion. Lower range incomes are predominantly wage and salary incomes; upper range in- 
 comes are not.
 
 PARETO'S LAW 377 
 
 lower ends of the distribution is sufficient to justify the statement that 
 most of the individuals going to make up the lower income range of the 
 frequency curve are wage earners, while the individuals going to make up 
 the upper income range are capitalists and entrepreneurs. 1 What do we 
 know about the shapes of these component distributions? Is the funda- 
 mental difference in their relative positions on the income scale their only 
 dissimilarity? 
 
 In any particular year the upper income tail of the frequency distribu- 
 tion of income among capitalists and entrepreneurs seems not greatly dif- 
 ferent from the extreme upper income tail of the frequency distribution 
 of income among all classes. This is what we might expect. Not only is 
 the percentage of the total income in the extreme upper income ranges 
 reported as coming from wages and salaries small but much of this so- 
 called wages and salaries income must be merely technical. For example, 
 it is often highly "convenient" to pay "salary" rather than dividends. 
 Furthermore, in so far as the tail of the curve of distribution of income 
 among capitalists and entrepreneurs is not identical with the tail of the 
 general curve, it will show a smaller rather than a larger slope, because the 
 percentage of the number of persons in each income interval who are 
 capitalists and entrepreneurs increases as we pass from lower to higher 
 incomes. 2 Now the slopes of the straight lines fitted to the extreme tails 
 of non-cumulative income distributions on a double log scale fluctuate 
 within a range of about 2.4 to 3.0. 
 
 The upper range tails of wages distributions tell an entirely different 
 story. Aside from surface irregularities often quite evidently traceable to 
 concentration on certain round numbers, the majority of wages distribu- 
 tions have tails which, on a double log scale, are roughly linear. 3 How- 
 ever the slopes of straight lines fitted to these tails are much greater than 
 the slopes of corresponding straight lines fitted to income distribution 
 tails. 4 While the slopes of income distribution tails range from about 2.4 
 
 1 Many individuals in the middle income ranges must necessarily bo difficult to classify. 
 This does not mean that the concept nf heterogeneity is inapplicable. There are countries 
 in which the population is a mixture of Spanish. American Indian, and Negro blood. Now 
 such a population must, for many statistical purposes, he considered extremely heterogeneous 
 even thougb the percentage of the population which is of any pure blood bo quite negligible. 
 
 2 In 1917, the only year in which returns are classified according to "principal source of 
 income" (wages and salaries, income from business, income from investment) the difference 
 in slope, in the income range $100,000 to $2,000,000, between the distribution for all returns 
 and the distribution for those returns which did not report wages and salaries as their prin- 
 cipal source of income was less than .05. The slope in this range of the line fitted t<> all re- 
 turns was about -.til; the business and investment line was about 2.59 and the wages line 
 about 3.21. In 1916, the only year in which returns are classified according to occupations, 
 the distribution of income among capitalists shows a slope of only 2.08 while public S< 
 employees (.civil) show a slope of 2.70 and skilled and unskilled laborers a slope of l'.71. 
 
 'Attention has already been drawn to the fact that this is a characteristic of many fre- 
 quency distributions of various kinds. 
 
 4 A further difference between the upper range income distribution among capitalists and 
 entrepreneurs and the upper range of the distribution among all persons seems to be, from 
 the l'.llfi occupation distributions, that the distribution among all persons shows less of a roll, 
 i. e., is straighter.
 
 378 PERSONAL DISTRIBUTION OF INCOME IN U. S. 
 
 to 3.0, the slopes of wages distributions tails commonly range between 
 4.0 and 6.0. They seldom run below about 4.5; they sometimes run as 
 high as 10.0 and 11.0. 
 
 A distribution of wages per hour for 26,183 male employees in iron and 
 steel mills in the United States in 1900 1 shows a tail with a slope of about 
 3.35. However, the total of which this is a part, the distribution of wages 
 per hour among 180,096 male employees in 32 manufacturing industries 
 in 1900, shows a tail-slope of about 4.8. The estimated distribution of 
 weekly earnings of 5,470,321 wage earners in the United States in 1905 2 
 shows a tail-slope of about 5.0. The distribution of earnings per hour 
 among 318,946 male employees in 29 different industries in the United 
 States in 1919 3 shows a tail-slope of about 5.86. The distribution of 
 wages per month among 1,939,399 railroad employees in the United States 
 in 1917 q shows a tail-slope of about 6.25. The distribution of wages per 
 hour among 43,343 male employees in the foundries and metal working 
 industry of the United States in 1900 5 shows a tail-slope of about 7.8. 
 The distribution of earnings in a week among 9,633 male employees in the 
 woodworking industry — agricultural implements — in the United States in 
 1900 6 shows a tail-slope of over 11.0. At the other extreme was the case 
 of the wages-per-hour distribution among 26,183 male employees in Amer- 
 ican iron and steel mills in 1900 with a slope of 3.35. Both 11.0 and 3.35 
 are exceptional, but the available data make it clear that wages distribu- 
 tions of either earnings or rates have tail-slopes which are always much 
 greater than the maximum tail-slope of income distributions. 
 
 The illustrations in the preceding paragraph are illustrations of the tail- 
 slopes of wages distributions among wage earners. However all the evi- 
 dence points to frequency distributions of income among wage earners 
 having tail-slopes only very slightly less steep than the tail-slopes of wages 
 distributions. We have almost no usable data concerning the relation 
 between individual wage distributions and income distributions for the 
 same individuals, but we have a few samples showing the relation between 
 family earnings distributions and family income distributions. 7 More- 
 over, we can without great risk base certain extremely general conclusions 
 
 i Twelfth Census of the United States (1900), Special Report on Employees and Wages, 
 Davis R. Dewey. 
 
 2 1905 Census of Manufacturers, Part IV, p. 647. 
 
 3 Monthly Labor Review, Sept., 1919. 
 
 4 Report of the Railroad Wage Commission to the Director General of Railroads, 1919, p. 96. 
 
 s Twelfth Census of the United States (1900), Special Report on Employees and Wages, 
 Davis R. Dewey. 
 
 e Twelfth Census of the United States (1900), Special Report on Employees and Wages, 
 Davis R. Dewey. 
 
 7 The reader must not confuse the percentage of the income not derived from wages going 
 to wage-earners in any particular income class with the percentage of the income not derived 
 from wages going to all income recipients in any particular income class. Some of these last 
 recipients are not wage earners at all, they receive no wages. Information concerning the 
 second of these relations but not the first is given in the income tax reports.
 
 PARETO'S LAW 379 
 
 concerning individual wage-earners' income distributions on these family 
 data. The upper tails of the family-wage distributions are the tails of the 
 wage distributions for the individuals who are the heads of the families. 
 This is apparent from an analysis of the samples. Now income from rents 
 and investments belongs almost totally to heads of families. Such income 
 is however so small in amount that it cannot alter appreciably the slope 
 of the tail. 1 While income from other sources than rents and investments 
 (lodgers, garden and poultry, gifts and miscellaneous) may not be so con- 
 fidently placed to the credit of the head of the family, this item changes 
 its percentage relation to the total income so slowly as to be negligible in 
 its effect upon the tail-slope of the distribution. 2 Notwithstanding the 
 danger of reasoning too assuredly about individuals from these picked 
 family distributions, we seem justified in believing that the tail-slopes of 
 income distributions among individual wage earners are not very different 
 from the tail-slopes of wage distributions among the same individuals. 3 
 The upper tail-slopes of income distributions among typical wage earners 
 
 1 For example, in the report on the incomes of 12,096 white families published in the Monthly 
 Labor Review for December, 1919, we find the income from rents and investments less than 
 one ner cent of the total family income for each of the income intervals. 
 
 Percentage income from 
 Income group rents and investments 
 
 is of total income 
 Under S900 .079 
 
 $ 900-81,200 .176 
 
 1,200- 1,500 .410 
 
 1,500- 1,800 .551 
 
 1,800- 2,100 .606 
 
 2,100- 2,500 99.s 
 
 2,500 and over . 778 
 
 2 As a somewhat extreme example the Bureau of Labor investigation mentioned in the 
 preceding note shows the following relations between total family earniqgs and total family 
 income (including income from rents and investments, lodgers, garden and poultry, gifts and 
 miscellaneous). 
 
 Income group Percentage that total 
 
 ^ earnings are of total income 
 Under $900 96.2 
 
 $ 900-81,200 96.5 
 
 1,200- 1,500 96.3 
 
 1,500 1,800 96.0 
 
 1,800 2.100 96. 3 
 
 2,100 2.. '.00 95.1 
 
 2,500 and over '.Hi. 2 
 
 3 Further corroboratory evidence, of some slight importance, that the tail-slopes of wage 
 distributions among wage earners are not very different from the tail-slopes of income dis- 
 tributions among wage earners is yielded by the fact that the tail-slopes of income distribu- 
 tions among families (which are virtually identical with the tail-slopes of both income and 
 wage distributions among the heads of these families) have roughly the same range as the 
 tail-slopes of wage distributions among individuals. The British investigation into the in- 
 comes of 7,616 workingmen's families in the United States in 1909 shows a tail-slo] f about 
 
 3.5. (Report of the British Board of Trade on Cost of Living in American Towns, loll. [Cd. 
 5609], p. XLIV.) The Bureau of Labor's investigation into the income of 12.000 white fam- 
 ilies in 1919 shows a tail-slope of about l.o. .Mr. Arthur T. Emery's extremely careful in- 
 vestigation into the incomes of 2,000 Chicago households in 1918 shows a tail-slope of 
 about 1.1. At the other extreme we find that the Bureau of Labor's investigation into the 
 income of 11,156 families in 1903 ( Kiijhii < ///// Annual Report of the Commissioner of I.nhur, 
 1903, p. 558) shows a tail-slope of about 10.0, and that Mr. R. ('. Chapin's investigation into 
 the income of 301 workingmen's families in New York City (Standard of Lit , . 1 >ntj Work- 
 ingmen's Families in New York ('it;/, p. 44) also shows a slope of about 10.0. The tails of 
 these last two cases are very irregular so that the slope itself is not determinable with much 
 precision.
 
 380 PERSONAL DISTRIBUTION OF INCOME IN U. S. 
 
 may then be assumed to have much greater slopes than the upper tail- 
 slopes of income distributions among capitalists and entrepreneurs. It 
 does not seem possible to make any very definite statement concerning 
 the body and lower tail of the capitalist and entrepreneurial distribution — 
 even in so far as that term is a significant one. 1 All the evidence suggests 
 that the. mode of what we have termed the capitalist-entrepreneurial dis- 
 tribution is consistently higher than the wage-earners' mode. 2 Its lower 
 income tail undoubtedly reaches out into the negative income range, which 
 the tail of the wage-earners' distribution may, both a -priori and from evi- 
 dence, be assumed not to do. It seems a not irrational conclusion then to 
 speak of the capitalist-entrepreneurial distribution as having a lesser tail- 
 slope than the wage- earners' distribution on the lower income side as well 
 as on the upper income side, 3 and as a corollary almost certainly a much 
 greater dispersion both actual and relative than the wage-earners' dis- 
 tribution. 
 
 Though the above generalizations concerning differences between the 
 wage-earners' income distribution and the capitalist-entrepreneurial in- 
 come distribution seem sound, they tell but a fraction of the story. Aside 
 from the difficulty of classifying all income recipients in one or the other 
 of these two classes, we are faced with the further fact that investigation 
 suggests that our two component distributions are themselves exceedingly 
 heterogeneous. 4 We have already noted that wage distributions for dif- 
 ferent occupations and times are extremely dissimilar in shape and we 
 suspect that the same applies to capitalist-entrepreneurial distributions. 
 For example, what little data we possess suggest that the distribution of 
 income among farmers has little in common with other entrepreneurial 
 distributions. 
 
 Moreover, the component distributions, into which it would seem nec- 
 essary to break up the complete income distribution before any rational 
 description would be possible, not only have different shapes and different 
 positions on the income scale (i. e., different modes, arithmetic averages, 
 etc.), but the relative position with respect to one another on the income scale 
 of these different component distributions changes from year to year. 5 
 
 1 In the total income curve there is a broad twilight zone where individuals are often both 
 wage or salary earners and capitalists or even entrepreneurs. 
 
 - In the 1016 occupation distributions the only occupations showing more returns for the 
 $4,00(1 $5,000 interval than the $3,000 $4,000 (that is the only occupations showing any 
 suggestion of a mode) are of a capitalistic or entrepreneurial description — bankers; stock- 
 brokers; insurance brokers; other brokers; hotel proprietors and restaurateurs; manufacturers; 
 merchants; storekeepers; jobbers; commission merchants, etc.; mine owners and mine op- 
 erators; saloon keepers; sportsmen and turfmen. 
 
 :l ( )f course the very word slope is an ambiguous term to use concerning the tail of a curve 
 which enters the second quadrant. 
 
 i Evidence suggesting definite heterogeneity in the "wage and salary" figures of the income- 
 tax returns is presented in Chapter .'50. 
 
 5 This fact is one of the simpler pieces of evidence against the existence of a "law." Of 
 course, even though the income distribution were made up of heterogeneous material, if the
 
 PARETO'S LAW 
 
 :;si 
 
 Table 28Q l is interest ins as showing the changes in the relative positions 
 of the arithmetic averages of different wage distributions in 1909, 1913 
 and 1918. 
 
 TABLE 28Q 
 
 CHANGES IX THK RELATIVE POSITIONS OF THE AVERAGE ANNUAL 
 EARNINGS OF EMPLOYEES ENCACKD IN VARIOUS INDUSTRIES 
 
 Industry 
 
 All Industries 
 
 Agriculture 
 
 Production of Minerals 
 
 Manufacturing: 
 
 Factories 
 
 Hand Trades 
 
 All Transportation 
 
 Railway, Express, Pullman, Switching ami 
 Terminal ( los 
 
 Street Railway, Electric Light and Power, 
 Telegraph and Telephone Cos 
 
 Transportation by Water 
 
 Banking 
 
 ( iovernment 
 
 Unclassified Induct ries 
 
 L909 
 
 100.0 
 48.2 
 95.7 
 
 91 
 111 
 
 101 
 
 104.0 
 
 99 
 L23 
 
 123 
 118 
 114 
 
 1913 
 
 100.0 
 
 15 ! 
 
 104.4 
 
 97 5 
 L03 5 
 L05 1 
 
 108 '_' 
 
 93.8 
 114.1 
 128.6 
 113.8 
 107.7 
 
 191S 
 
 100.0 
 
 54.7 
 
 119.0 
 
 103 ■". 
 110.8 
 119.3 
 
 129 :; 
 
 ' si 1 
 147.5 
 135.5 
 
 83.0 
 
 97.8 
 
 The data are so inadequate that the construction of a similar table for 
 capitalist-entrepreneurial distributions is not feasible. However, there are 
 comparatively good figures for total income of farmers and total number 
 of farmers year by year. 2 The average incomes of farmers, year by year, 
 were the following percentages of the estimated average incomes of all 
 persons gainfully employed in the country. 
 
 1910 
 1911 
 1912 
 1913 
 1914 
 1915 
 1916 
 1917 
 1918 
 1919 
 1920 
 
 Percentages 
 
 75.19 
 
 69.13 
 
 72.41 
 
 74.88 
 
 76.33 
 
 80.45 
 
 82.85 
 104.51 
 109.68 
 103.95 
 
 63.88 
 
 This is a wide range. 
 
 Exactly what effects have such internal movements of the component 
 distributions upon the total income frequency distribution curve? This 
 is a difficult question to answer as we have not sufficient data to break 
 
 component parts remained constant in shape and in their relative positions with respect to one 
 another on the income scale, these relations would of themselves constitute a "law." 
 
 1 Based upon Incomt in tht United States, Vol. I, pp. 102 and 103. 
 
 2 See Income in the United States, Vol. I, p. 112.
 
 382 
 
 PERSONAL DISTRIBUTION OF INCOME IN U. S. 
 
 down the total, composite, curve into its component parts with any de- 
 gree of confidence. 1 However, the movements of wages in recent years 
 would appear to give us a clue to the sort of phenomena we might expect 
 to find if we had complete and adequate data. 
 
 The slopes of the upper income tails of wages distributions are great, 
 4 to 5 or more. 2 Now the wage curve moved up strongly from 1917 to 
 1918 if we may judge by averages. The average wage of all wage earners 
 in the United States 3 increased 15.6 per cent 4 from 1917 to 1918. During 
 the same period the average income of farmers increased 19.1 per cent 5 
 and the average income of persons other than wage earners and farmers 
 remained nearly constant. Total amounts of income by sources in millions 
 of dollars were: 
 
 
 1917 
 
 1918 
 
 Percentage 1918 
 was of 1917 
 
 • 
 
 Total Wages a 
 
 Total Planners' Income 
 
 All other Income 
 
 $27,795 
 
 8,800 
 
 17,265 
 
 $32,575 
 10,500 
 17,291 
 
 117.20 
 119.32 
 100 15 
 
 
 
 Total Income 
 
 $53,860 
 
 $60,366 
 
 112.08 
 
 
 
 a Includes pensions, etc., and includes soldiers, sailors, and marines. 
 
 Stockholders in corporations saw income from that source actually decline 
 from 1917 to 1918. 6 What happened to American income-tax returns 
 during this time? 
 
 1 The processes by which the income distribution curve published in Income in the United 
 States, Vol. I, pp. 132-135 was arrived at were such that to use that material here would 
 practically amount to circular reasoning. The conclusions arrived at here were used in build- 
 ing up that curve. 
 
 - The slope of the tail of the wage and salary curve in the 1917 income tax returns is only 
 about 3.21 (compare, note 2, p. 377). However we must remember that the individuals there 
 classified are largely of an entirely different type of "wage-earner" from those in the lower 
 groups. In this upper group occur the salaried entrepreneurs, professional men, etc., and 
 those whose "salaries" are really profits or dividends. The evidence points to a rather dis- 
 tinct and significant heterogeneity along this division in the wage and salary distribution. 
 See Chapter 30. 
 
 3 Excluding soldiers, sailors, and marines, and professional classes but including officials 
 and "salaried entrepreneurs." 
 
 « From $945 per annum in 1917 to SI, 092 per annum in 191S. 
 
 5 From §1,370 per annum in 1917 to $1,632 per annum in 1918. 
 
 « CORPORATION DIVIDENDS, SURPLUS AND EARNINGS 
 (In millions of dollars) 
 
 
 Dividends 
 
 Surplus 
 
 Net earnings 
 
 1917 
 
 1918 
 
 3,995 
 2,568 
 
 3,963 
 1,945 
 
 7,958 
 4,513 
 
 See page 324. 
 
 .
 
 PARETO'S LAW 
 
 383 
 
 TOTAL AMOUNT OF NET INCOME RETl'liNED BY SOURCES (RETURNS 
 REPORTING OVER $2,000 PER ANNUM NET INCOME;* 
 
 (Millions of doll. 
 
 Income class 
 
 Over $2,000 . . 
 
 2,000- 4,000. 
 
 4,000- 5,000. 
 
 5,000-10,000 . 
 Over 10,000. 
 
 Wages and salaries 
 
 1917 
 
 $3,648 
 
 1,553 
 
 301 
 
 661 
 
 1,133 
 
 1918 
 
 $6,493 
 
 3,687 
 703 
 849 
 
 1,254 
 
 All other sources b 
 
 1917 
 
 $7,543 
 
 1,7'. I'.) 
 
 528 
 
 1,167 
 
 1.049 
 
 l'.ils 
 
 >7.198 
 
 2,036 
 
 736 
 
 1,296 
 
 3,130 
 
 a Wages income from returns reporting between SI, 000 and $2,000 per annum is not avail- 
 able for 1917. 
 
 b "Other sources" are total net income minus wages and salaries, i. e., total general deduc- 
 tions have been assumed as deductible from other sources (gross). All things considered, 
 this seems proper here though it may easily be criticised. In connection with changes in the 
 relation between net and gross income from 1917 to 1918 see Chapter 30, pp. 401 and 402. 
 
 While reported income from all other sources than wages and salaries 
 declined 4.6 per cent, 1 reported income from wages and salaries increased 
 78.0 per cent. 2 Moreover, the great increases in wages and salaries were 
 in the lowest intervals. The wage curve with its steep tail-slope was 
 moving over into the income tax ranges. 3 The effect upon the total curve 
 is veiy pronounced, as may be seen from Table 28R. 
 
 TABLE 28R 
 
 AxMERICAN INCOME TAX RETURNS IN 1917 AND 1918 
 
 Total Number of Returns 
 (In thousands) 
 
 $2,000-$4,000 
 4,000- 5,000 
 5,000-10,000 
 
 Over 10,000. 
 
 1917 
 
 1,214 
 186 
 271 
 162 
 
 101S 
 
 2,107 
 :V22 
 319 
 160 
 
 Percentage L918 
 
 was of 1917 
 
 17:; 56 
 
 17.; 12 
 
 117.71 
 
 98 77 
 
 On a double log scale we see the curve changing its shape radically. While 
 the 1917 curve is comparatively smooth and regular, the 1918 curve 
 develops a distinct "bulge" in the lower ranges. 4 
 
 The preceding discussion has been concerned with equal dollar-income 
 
 1 Had "other sources" been taken gross instead of net, that item would have shown an 
 increase of 5.3 per cent instead of a decrease of 4.6 per cent. 
 
 2 The actual spread is still greater than the figures show. Income from professions, which 
 in 1917 was classed under wages, in l'.ils and 1919 was classed under business. 
 
 3 This seem.- to be a fact though it is not the whole story. The "intensive drive" of 1019 
 may easily account for some of the increase. See Chapter 30 for a discussion of the probable 
 extent of this influence. 
 
 4 See Income in the United States, Vol. I, Charts 28 and 30.
 
 384 
 
 PERSONAL DISTRIBUTION OF INCOME IN U. S. 
 
 intervals. However, $2,000 income in 1918 was relatively less than $2,000 
 income in 1917. The average (per capita) income of the country was 
 $523 in 1917 and $586 in 1918. 1 The adjustment is theoretically crude, 
 but $2,241 2 in 1918 might be considered as in one sense equivalent to 
 $2,000 in 1917. The results of comparisons of the two years upon this 
 basis are given in Table 28S. 3 
 
 TABLE 28S 
 
 INCOME RETURNED— BY SOURCES 
 
 (Millions of dollars) 
 1917 
 
 Income class 
 
 Wages and 
 salaries 
 
 Total net 
 income 
 
 Total net 
 income 
 minus 
 wages and 
 
 salaries 
 
 Total gross 
 income 
 
 Total gross 
 
 income 
 
 minus 
 
 wages and 
 
 salaries 
 
 $2,000-$4,000 
 
 4,000- 5,000 
 
 5,000-10,000. . .. 
 
 Over 10,000 
 
 $1,553 
 
 301 
 
 661 
 
 1,133 
 
 $3,352 
 
 829 
 
 1,828 
 
 5,182 
 
 $1,799 
 
 528 
 
 1,167 
 
 4,049 
 
 $3,713 
 
 895 
 
 1,951 
 
 5,518 
 
 $2,161 
 
 594 
 
 1,290 
 
 4,384 
 
 1918 
 
 $2,241-$4,482. ... 
 
 $3,236 
 
 $5,359 
 
 $2,123 
 
 $5,766 
 
 $2,530 
 
 4,482- 5,602. . . . 
 
 498 
 
 1,111 
 
 613 
 
 1,247 
 
 749 
 
 5,602-11,205 
 
 773 
 
 1,960 
 
 1,187 
 
 2,315 
 
 1,542 
 
 Over 11,205 
 
 1,153 
 
 4,129 
 
 2,976 
 
 4,842 
 
 3,689 
 
 £93 
 
 (Multiplied by — , that is reduced to "1917 dollars") 
 586 
 
 $2,241-34,482 
 
 $2,888 
 
 $4,783 
 
 $1,895 
 
 $5,146 
 
 $2,258 
 
 4.482- 5,602 
 
 445 
 
 992 
 
 547 
 
 1,113 
 
 668 
 
 5,602-11,205. ... 
 
 690 
 
 1,749 
 
 1,059 
 
 2,066 
 
 1,376 
 
 Over 11,205. . 
 
 1,029 
 
 3,685 
 
 2,656 
 
 4,321 
 
 3,292 
 
 (Percentages of Total Income of Country) 
 1917 
 
 $2,000-$4,000 
 
 2.88 
 
 6.22 
 
 3 . 34 
 
 6.89 
 
 4.01 
 
 4,000- 5,000 
 
 .56 
 
 1.54 
 
 .98 
 
 1.66 
 
 1.10 
 
 5,000-10,000. . . 
 
 1.23 
 
 3 . 39 
 
 2.16 
 
 3.62 
 
 2.39 
 
 Over 10,00 
 
 2.10 
 
 9.61 
 
 7.51 
 
 10.24 
 
 8.14 
 
 1918 
 
 $2,241-14,482 
 
 5.30 
 
 8.78 
 
 3.48 
 
 9.45 
 
 4.15 
 
 4,482- 5,602 
 
 .82 
 
 1.82 
 
 1.00 
 
 2.05 
 
 1.23 
 
 5,602-11,205. . . . 
 
 1.27 
 
 3.21 
 
 1.94 
 
 3. SO 
 
 2.53 
 
 Over 11,205... 
 
 1.89 
 
 6.77 
 
 4.88 
 
 7.94 
 
 6.05 
 
 1 Income in tin United States, Vol. I, p. 70. 
 
 2 $2,000 X |||- 
 
 3 The figures for the amounts of income in the irregular 1918 income intervals of that table 
 ($2,241-$4,482, etc.) were calculated by straight line interpolation on a double log scale ap- 
 plied to the even thousand dollar intervals of the income-tax returns. Though the total 
 income curve does not approximate linearity it may be assumed linear within the small 
 range of one income tax interval without serious error. 
 
 S
 
 PARETO'S LAW 
 
 385 
 
 (Table 28S concluded.) 
 
 NUMBER OF RETURNS 
 (Thousands) 
 
 Income class 
 
 1917 
 
 Income class 
 
 L918 
 
 Percentage L918 
 
 was of 1917 
 
 $2,000-$4,000 
 
 4,000- 5,000 
 
 5.000-10,000 
 
 Over 10,000 
 
 1,214 
 186 
 271 
 162 
 
 $2,241-84,482 
 
 4,482- 5,602 
 
 5,602-11,205 
 
 Over 11,205 
 
 1,758 
 220 
 260 
 136 
 
 144.81 
 
 118.28 
 
 95.94 
 
 83 95 
 
 It is from this table once again apparent that the wage distribution moved 
 independently up on the income scale and that the effecl of this movement 
 was confined to the lowest income intervals. Charts 28T, 28U, 28V, 28W, 
 28X, 28Y, 28Z, and 28AA which show the number of dollars income per 
 dollar-income interval, by sources, are enlightening as illustrating in still 
 
 CHART 28T 
 
 US INCOME TAX RETURNS 
 1916 
 
 NUMBER OF DOUARS !H EACH INCOME 
 INTERVAL BY SOURCES 
 
 -1 
 
 INCOME IN THOUSANDS OF DOLLARS 
 10 20 30 40 SO 100 200 
 
 I I ■ l i i I i 
 
 300 
 
 400 500 
 
 i i 
 
 1.000 
 
 2,000
 
 386 
 
 PERSONAL DISTRIBUTION OF INCOME IN U. S. 
 
 
 
 CHART 28 U 
 
 
 U. 5. INCOME TAX RETURNS 
 
 
 
 1916 
 
 
 
 NUMBER OF DOLLARS IN EACH 
 
 
 
 INCOME INTERVAL BY SOURCES. 
 
 
 
 Scales Logarithmic. 
 
 
 
 4. INCOME OTHER THAN WAGES 
 
 
 4c ^~-^ 
 
 OR BUSINESS 
 
 
 5o^^ ^^"^"""^ 
 
 5 RENTS 
 6. INTEREST 
 
 
 6. ^^^ 
 
 "S./V- 7 DIVIDENDS. 
 - -... ^^PTv, 
 
 ^ ^*Jfe v 
 
 
 -10,000 ^ 
 
 
 o 
 
 O 
 
 o 
 
 •ME INTERVAL 
 
 
 
 ^8s>\ V 
 
 
 
 \ ^K \\ 
 
 
 as 
 
 
 
 3 
 
 
 
 o 
 
 ^V^ s 
 
 
 -100 ° 
 
 x. % v 
 
 '"^>»4 
 
 ^s. ^ v ^ 
 
 >»7 
 
 Bn 
 
 ^v V N^ 
 
 
 g 
 
 
 v.^ 
 
 «* 
 
 d 
 
 
 ~*X 
 
 o 
 
 
 \ V°5 
 
 a 
 
 -10 
 
 INCOME IN THOrSANDS OF DOLLARS 
 
 ^-^^•6 
 
 3 4 5 10 
 
 20 30 40 50 100 200 300 400 500 
 
 1,000 2,000
 
 PARETO'S LAW 
 
 387 
 
 CHART 2sY 
 
 -100.000 
 
 -10,000 
 
 Ed 
 • 1,000 S 
 
 S 
 
 z 
 
 M 
 
 as 
 
 j 
 
 o 
 a 
 
 BJ 
 U 
 0- 
 
 | 
 
 J 
 
 -100 
 
 U.S. INCOME TAX RETURNS 
 1317 
 
 NUMBER OF DOLLARS IN EACH 
 INCOME INTERVAL BY SOURCES 
 
 Scales Logarithmic 
 
 1 TOTAL INCOME. 
 8 WAGES. 
 
 3 BUSINESS. 
 
 4 OTHER INCOME. 
 
 4 5 
 
 I I 
 
 INCOME IN THOUSANDS OF DOLLARS 
 10 20 30 40 50 100 200 
 
 111 I ' 
 
 300 400 500 
 
 1.000 
 
 2,00c
 
 388 
 
 PERSONAL DISTRIBUTION OF INCOME IN U. S. 
 
 
 CHART 28 W 
 
 
 U 5 INCOME TAX RETURNS 
 
 
 1917 
 
 
 NUMBER OF D0LLAR5 IN EACH 
 
 
 INCOME INTERVAL BY SOURCES 
 
 4o ( 
 
 Scales Logarithmic 
 
 5 \ 
 
 *\^^ 4 INCOME OTHER THAU WAGES OR BUSINESS 
 
 ^N>^ 5 RENT5 
 
 
 ^^^ 6 INTEREST 
 
 /* 
 
 ^ --a... "o-^^ 7- DIVIDENDS 
 
 
 X-.: *^**« 
 
 
 
 -10,000 
 
 
 © 
 5 
 VIE INTERVAL 
 
 s 
 
 z 
 
 
 M 
 
 \. v ^ \\ 
 
 < 
 
 X. s «. '-^S^ 
 
 J 
 
 \^ *« "•vS>s. 
 
 J 
 
 ^S. v >- «X 
 
 - 10U o 
 
 >, x s. , sS4 
 
 Q 
 
 \ V " D 7 
 
 M 
 
 \ «^ 
 
 U 
 
 *>^ v ^ 
 
 cu 
 
 \ v. 
 
 3 
 
 X. »N n 
 
 «e 
 
 \ N 
 
 
 >v * 6 
 
 -io § 
 
 \ 
 
 -1 
 
 *S 
 
 
 INCOME IN THOUSANDS OF DOLLARS 
 
 3 4 
 
 5 10 20 30 40 50 100 200 300 400 500 1,000 2,000 
 
 ,
 
 PARETO'S LAW 
 
 389 
 
 
 
 
 CHART 28 X 
 
 1 tr"""^ 
 
 
 
 
 -1,000,000 
 
 V N \ 
 
 
 U S INCOME TAX RETURNS 
 
 
 
 
 1918 
 
 
 "^K 
 
 
 NUMBER OF DOLLARS IN EACH 
 
 3 
 
 
 INCOME INTERVAL BY SOURCES 
 
 
 
 Scales Logarithmic 
 
 
 
 
 1 TOTAL income: 
 
 -100,000 
 
 
 ^&*~ ^*\. 
 
 2 WAGES 
 
 3 BUSINESS 
 
 
 
 >»3T^>^ 
 
 ■n^ a other income; 
 
 
 
 ^Sj-^-*^ 
 
 
 
 
 
 - 10,000 
 
 
 i 
 
 
 
 
 > 
 -l.OOOg 
 
 
 
 %>o<x 
 
 z 
 
 
 
 voSv 
 
 Cd 
 
 
 
 > N * — X 
 
 s 
 8 
 
 
 
 
 z 
 
 
 
 X v - X\ 
 
 : 100 M 
 
 
 
 \ N n>^ 
 
 5 
 
 o 
 5 
 
 
 
 \ v?x 
 
 H 
 
 
 
 
 -io g 
 
 
 
 "N \ 
 
 3 
 
 
 
 \ 
 
 o 
 
 
 
 \ 
 
 a 
 
 
 
 \ 
 
 -1 
 
 
 
 V ! 
 
 \ 
 
 \ 
 \ 
 
 \ 
 
 \ 
 
 
 
 V 
 
 \ 
 \ 
 
 INCOME IN THOl'SANDS OF DOLLARS 
 
 
 2 3 4 5 
 
 10 20 30 
 
 40 50 100 200 300 400 500 1.000 Z.WU XOUO'^
 
 390 
 
 PERSONAL DISTRIBUTION OF INCOME IN U. S. 
 
 ,
 
 PA KIOTO'S LAW 
 
 391 
 
 -i.000.O0O 
 
 iou.ooo 
 
 CHART 2SZ 
 
 [0,000 
 
 Id 
 1.000 § 
 
 o 
 a 
 
 10u e- 
 
 U 5 INCOME. TAX RETURNS 
 1313 
 NUMBER OF DOLLARS IN EACK 
 INCOME INTERVAL BY SOURCES 
 Scales Logarithmic. 
 
 1. TOTAL INCOME 
 
 2 WAGES 
 
 3 BUSINESS 
 
 A OTHER INCOME. 
 
 t 
 
 i 
 
 1 
 
 3 4 S 
 
 i i i 
 
 INCOME IN THOUSANDS OF DOLLARS 
 10 20 30 40 50 1UU 
 
 1 i i i i i 
 
 200 300 400 500 
 
 1.000 
 
 _ 
 
 V -z 
 
 2.000 3.000 
 
 1
 
 392 
 
 PERSONAL DISTRIBUTION OF INCOME IN U. S. 
 
 CHART 28AA 
 
 -10,000 
 
 -1.000 « 
 
 -100 
 
 ■10 
 
 U S INCOME TAX RETURNS 
 
 1313 
 
 NUMBER OF DOLLARS IN EACH 
 
 INCOME INTERVAL BY SOURCES 
 
 5cales Logarithmic 
 A INCOME OTHER THAN WA6E5 
 OR BUSINESS 
 
 5 RENTS. 
 
 6 INTEREST. 
 
 7 DIVIDENDS. 
 
 4 5 
 
 INCOME IN THOUSANDS OF DOLLARS 
 10 20 30 40 50 100 200 
 
 I, ii I I 
 
 300 400 500 
 
 IOOO 
 
 2000 
 
 3000 
 
 — — — 
 
 <*
 
 PARETO'S LAW 393 
 
 greater detail the changes in the constitution of the returns from year to 
 year. 
 
 Such material and the appearance of the "bulge" on the income-tax 
 curve in the lowest income ranges 1 in the years 1918 and 191 ( .) when wages 
 and salaries wore high and average (per capita) incomes also high - strongly 
 suggest that the income curve, in so far as it shows any similarity from 
 year to year, changes its general appearance and turns up (on a double 
 log scale) as it approaches those ranges where wages and salaries are of 
 predominant influence. 3 The great slopes of wage distributions are on 
 this hypothesis not inconsistent with the smaller slope of the general 
 income curve in its higher (income-tax) ranges. 4 
 
 Conclusions: 
 
 (1) Pareto's Law is quite inadequate as a mathematical generalization, 
 for the following reasons: 
 
 (a) The tails of the distributions on a double log scale are not, 
 in a significant degree, linear; 
 
 (b) They could be much more nearly linear than they are without 
 that condition being especially significant, as so many dis- 
 tributions of various kinds have tails roughly approaching 
 linearity; 
 
 (c) The straight lines fitted to the tails do not show even approxi- 
 mately constant slopes from year to year or between coun try 
 and country; 
 
 (d) The tails are not only not straight lines of constant slope but 
 are not of the same shape from year to year or between 
 country and country. 
 
 (2) It seems unlikely that any useful mathematical law describing the 
 entire distribution can ever be formulated, because: 
 
 (a) Changes in the shape of the income curve from year to year 
 seem traceable in considerable measure to the evident hetero- 
 geneity of the data; 
 
 (b) Because of such heterogeneity it seems useless to attempt to 
 
 1 See Chapter 30 for further discussion of this " bulge" in connection with an examination 
 of how far it may he the result of irregularity in reporting. 
 
 2 Average (per capita) incomes being high means that a definite money income (such as 
 $2,000) takes us relatively further down the income curve than it" average incomes were low. 
 
 3 It is difficult to say just where the " bulge" might have appeared in the 1917 distribution 
 if as great efforts had been made to obtain correct returns in that year as were made under 
 the "intensive drive" for 1918 returns. The wages line on the 1017 number of dollars income 
 per dollar-income interval chart (Chart 28V) shows signs of turning up somewhere between 
 $4,000 and So, 000 and the business line somewhere in the $5,000 S10.000 interval. However 
 neither movement is larjie nor can their positions be accurately determined on account of the 
 size of the reporting intervals. See also Chapter .'50, p. 412. 
 
 4 The "bulge" on the income from wages and salaries curve itself, as seen in the income- 
 tax returns for 1918 and 1919 (see Charts 2sX and28Z), seems the result of heterogeneity in 
 these wage and salary data themselves. This hypothesis is considered in Chapter 30.
 
 394 PERSONAL DISTRIBUTION OF INCOME IN U. S. 
 
 describe the whole distribution by any mathematical curve 
 designed to describe homogeneous distributions (as any simple 
 mathematical expression must almost necessarily be designed 
 to do) ; 
 
 (c) Furthermore, the existing data are not adequate to break up 
 the income curve into its constituent elements; 
 
 (d) If the data were complete and adequate we might still remain 
 in our present position of knowing next to nothing of the 
 nature of any "laws" describing the elements. 1 
 
 (3) Pareto's conclusion that economic welfare can be increased only 
 through increased production is based upon erroneous premises. 
 The income curve is not constant in shape. The internal movements 
 of its elements strongly suggest the possibility of important changes 
 in distribution. The radically different mortality curves for Roman 
 Egypt and modern England, 2 and the decrease in infant mortality 
 in the last fifty years illustrate well what may happen to heteroge- 
 neous distributions. 
 The next four chapters review the data from which any income frequency 
 distribution for the United States must be constructed. 
 
 1 Though all the evidence points to hope of further progress lying in the analysis of the 
 parts rather than in any direct attack upon the unbroken heterogeneous whole. 
 * See Biometrika, Vol. I, pp. 261-264. 
 
 S
 
 CHAPTER 29 
 OFFICIAL INCOME CENSUSES 
 
 There has never been a complete income census of the American people. 
 The Federal income-tax data cannot take the place of such a census. Re- 
 specting the distribution of income among persons having incomes of less 
 than $1,000 Federal income-tax data give us no information whatsoever. 
 Furthermore, on account of the exemption of married persons, compara- 
 tively little use can be made of the $1,000 to 82,000 interval. The number 
 of persons reporting incomes over $2,000 in our best year, 1918, was only 
 7.3 per cent of the estimated total number of income-recipients in the 
 country. Moreover, not only because of direct evasion and illegal non- 
 reporting, but also because of "legal evasion" and the large amount of 
 tax-exempt income which need not be reported at all, these income-tax 
 data cannot give an approximately correct picture of even that part of 
 the frequency curve which lies above $2,000. The adjustments of the 
 income-tax data necessary to obtain such a picture are extremely large, 
 as we shall presently see. 
 
 Only one country in the world has ever taken an official income census 
 which made any pretense of completeness. Under the War Census An 
 the Commonwealth of Australia took an official income census of incomes 
 received during the year ended June 30, 1915, by everyone, man, woman, 
 or child, who was "possessed of property, or in receipt of income." x The 
 results of that census are summarized by G. H. Knibbs, the Commonwealth 
 Statistician, in The Private Wealth of Australia and its Growth. A Re- 
 part of the War Census of 1915. (See Table 29A and Charts 29A, 29B 
 and 29C.) 
 
 Now while it would naturally be impossible to construct a complete 
 frequency distribution for American incomes from Australian data, 2 we 
 might perhaps hope to discover some characteristics of income-distribution 
 
 1 While the first clause of the Australian "Wealth and Income Card" stated merely that 
 it was "to be filled in by all persons aged 18 or upwards possessed of property, or holding 
 property on trust, or in receipt of income," etc. (p. 9), "a special instruction was issued that 
 in the ease of all persons under the age of 18, possessed of property, or in receipt of income. 
 a return must be furnished by the parent or guardian in respect of such property or income." 
 (p. 10.) The income from such trust funds was not all, but only "in the main." allocated to 
 individual beneficiaries, (p. 22.) 
 
 G. H. Knibbs, The Private Wealth of Australia and its Growth. A R fthe War Casus 
 
 of 1915. 
 
 2 Aside from the questionableness of such a procedure, the large size of the low income 
 intervals in the Australian distribution and the lack of information concerning the amount 
 of negative income make that distribution a difficult one to work with. A classification by 
 such largo intervals tells very little. 
 
 395
 
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 INCOME IN POUNDS STERLING 
 
 200 30,0 59O 1,0,00 2,000 3,0,00 , '',000
 
 398 PERSONAL DISTRIBUTION OF INCOME IN U. S. 
 
 curves in general from this, the only actual census ever taken. A knowl- 
 edge of such general characteristics might then, quite imaginably, be a 
 little helpful in the problem of describing the American or any other 
 income distribution. 
 
 However, when we come to examine the Australian figures, we find that 
 they have certain pronounced peculiarities which would be extremely diffi- 
 cult to read into the American material. For example, the Australian dis- 
 tribution shows a flatness and lack of pronounced mode totally unlike the 
 results we have built up from an analysis of American data. In the Aus- 
 tralian distribution there are nearly the same number of persons having 
 incomes between and £50, £50 and £100, and £100 and £150. 1 
 
 What are the causes of this rather startling peculiarity of the Australian 
 frequency curve? 2 In the first place let us suggest a possibly minor but 
 by no means necessarily negligible factor. We know little about the good- 
 ness of the Australian reporting in this census. Income is, from its nature, 
 a difficult subject to investigate. When the material is collected by means 
 of schedules to be filled in by the informants, as was the case in the Aus- 
 tralian census, the returns may easily be full of errors. The average in- 
 dividual is surprisingly ignorant concerning the amount of his total income. 
 The further fact that the census was taken in order to estimate possi- 
 bilities of future taxation may well have been a powerful incentive towards 
 great irregularities all along the line, but especially in the lower income 
 groups. Persons whose income brought them distinctly into the upper 
 groups (over £156) were, at the time of the income census, about to make 
 returns under oath for income-tax purposes and would hardly care to 
 show a radical discrepancy between the two returns. On the other hand, 
 many persons, whose true incomes were around £156 and the modal income, 
 might easily have "underestimated" with the idea of evading if possible 
 future taxation based upon a lowering of the exemption limit. The result 
 of such practices would tend to show up graphically in a flattening of the 
 curve in the vicinity of the mode of the distribution and a raising of the 
 numbers in the lowest groups. 3 
 
 However, poor reporting is probably only a secondary element ac- 
 counting for the peculiarities of the Australian curve. It is most of all the 
 
 > See Table 29 A and Chart 29 A. 
 
 '-' Notwithstanding the fact that distributions for different times and for different countries 
 probably vary greatly (see Chapter I'M, tin- difference between the Australian curve and 
 the Bureau's American estimate seems too radical to explain upon this basis. 
 
 3 It is difficult to determine the extent of actual non-reporting. The number of males 
 filling out income cards was 2,527,831. All males "possessed of property, or in receipt of 
 income" are supposed to be included in this number. It amounted, however, to only 54.60 
 per cent of the total male population. Males "possessed of property, or in receipt of income" 
 necessarily constitute a larger percentage of the total male population than do male "bread- 
 winners," yet in the Australian census of 1911 male breadwinners constituted 69.4 per cent 
 of the total male population, and male breadwinners 20 years of age or older 58.9 per cent. 
 Even if we assume that the number of income returns for males under 18 was negligible we 
 still are faced with a discrepancy difficult to account for.
 
 OFFICIAL INCOME CENSUSES 399 
 
 concentration of female returns in the lowest income groups which gives 
 the flat and modeless appearance to the total curve. The Australian fre- 
 quency distribution among males only, is much more like our estimated 
 American distribution 1 than is the Australian distribution among males 
 and females together. Now the concentration of female returns in the 
 lower income intervals would seem to be the result of a large number of 
 returns made by women and female children receiving petty incomes from 
 property who would be classified, in the Australian Census of Population, 
 as "dependents" and not as "breadwinners." 2 
 
 Of the total female population in 1915, 33.46 per cent made out income 
 cards and 23.18 per cent reported positive incomes (10.28 per cent re- 
 ported zero or negative incomes). But according to the Australian census 
 of 1911, only 18.6 per cent of the total female population were classified 
 as "breadwinners." Thus the women reporting positive incomes in L915 
 constituted a much larger percentage of the total female population than 
 did female "breadwinners" in 1911 of the total female population in thai 
 year. The discrepancy seems too great to be accounted for by the in- 
 crease in the number of women "breadwinners" caused by the war. More 
 than half of the 23.18 per cent of the female population reporting positive 
 incomes in 1915 reported incomes under £50 per annum. Moreover, the 
 average income of this group was only £22 per annum — under the arith- 
 metic average of the interval. This strongly suggests petty incomes from 
 property, and part time occupations such as keeping boarders, lodgers, 
 chickens, etc., rather than any great increase in the number of female 
 "breadwinners." The fact that over 30 per cent of the returns made by 
 females reported zero or negative incomes is further evidence that the 
 large number of extremely small incomes reported was largely the result 
 of the schedule calling for income returns from all persons "possessed of 
 property." 
 
 Negative incomes arise in general from business or speculative losses. 
 Bad as may be the condition of any laboring class, its members are seldom 
 faced with negative incomes. It is unlikely that many of the 2 I'd. 176 
 females reporting "deficit and nil" were wage-earners. They were in 
 general the owners of small investments which showed losses, such as 
 town lots upon which taxes had been paid. 3 
 
 1 See Income in the United Stair* , Vol. I, pp. 12S, 129, L32 135. 
 
 2 All persons are classified as " breadwinners" or as "dependents" by the Australian cei 
 Male "breadwinners" in Australia constituted in 1911, according to the census of that year, 
 69.4 per cent of the total male population, female "breadwinners" 18.6 per cent of the total 
 female population, and total "breadwinners" 15.0 per cent of the total population. These 
 figures compare with American census figures for 1910 showing males "gainfully employed" 
 to constitute 63.6 per cenl of total males, females "gainfully employed" 18.1 per cen( o\ 
 total females, and total "gainfully employed" 41.5 per cent of the total population. 
 
 'It is worth noting that in the Australian schedule "rah- and taxes paid" could be de- 
 ducted before making an income return. This consideration may be of -"me importance in 
 explaining the very large number of small, zero, and negative in
 
 400 PERSONAL DISTRIBUTION OF INCOME IN U. S. 
 
 While the frequency curve for Australian males is much more like the 
 American distribution than the curve representing both male and female 
 Australian income recipients, even it shows a much greater concentration 
 in the lowest income intervals than does the American distribution. This 
 can probably be accounted for to some extent by a large number of income 
 returns for young male "dependents" "possessed of property." 
 
 The essential difference in appearance between the American income- 
 distribution curve which we presented in Volume I and the Australian 
 curve of 1915 is, then, probably traceable to (1) Australian underreporting 
 and (2) Australian inclusion of a large number of "dependents" who re- 
 ceived petty incomes from property and who were in no important sense 
 "breadwinners" or "gainfully employed." 
 
 What shall we say about the desirability or undesirability of including 
 in an income frequency distribution dependents receiving petty incomes 
 from property? While it is true that their incomes, positive or negative, 
 are in a way as real as any other incomes, we must remember that probably 
 almost all individuals over six years of age not only receive but earn some 
 money income during each year. Shall we then include the entire popu- 
 lation over six years old in our distribution? As we approach this theo- 
 retical limit it is seen that the concept becomes less and less practically or 
 even theoretically interesting. Both practically and theoretically we are 
 interested in the incomes of persons who, though they be minors, have 
 "economically come of age" and have entered into certain definite rela- 
 tions to the machinery of factorial distribution. They are "breadwinners" 
 or "persons gainfully employed," and the concept back of such expres- 
 sions, though like many economic concepts somewhat of a compromise, 
 seems a good compromise for our purposes. 
 
 Denning income recipient as we have, we cannot use the Australian 
 material as an aid to the graduation or adjustment of the American income- 
 distribution curve in its lower ranges. In the upper income ranges, the 
 Australian distribution offers, as we shall see, an interesting illustration 
 of the same double swing (letter S) appearance of the curve seen in some 
 of the more recent American data. 1 
 
 1 When charted on a double log scale. 
 
 <*
 
 CHAPTER 30 
 AMERICAN INCOME TAX RETURNS 
 
 At the beginning of the preceding chapter attention was drawn to some 
 reasons why income-tax returns cannot take the place of an adequate 
 income census. Nevertheless tax returns are in many respects t he most 
 important single source of information we have for estimating tin? fre- 
 quency distribution of incomes. Were there neither tax returns nor in- 
 come censuses for any country, it is difficult to see how we could make 
 even an interesting guess as to the distribution of income in the upper 
 ranges. 
 
 American income-tax data go back to 1913. We have now at our dis- 
 posal returns for the seven years, 1913 to 1919, inclusive. 1 However, the 
 amount of information given in the official reports for the earlier years 
 1913, 1914 and 1915 is not great. Little is shown beyond the number 
 of returns classified by large income intervals and the same returns classi- 
 fied by districts. The 1916 tax report is the most voluminous and in one 
 respect the most adequate report which has yet appeared. 2 It contains 
 a set of tables which we are sorry to miss in the later reports, showing 
 the frequency distribution of incomes by separate occupations. Other 
 features of this report which have been retained in later years are tables 
 showing both number of returns and amount of net income for each income 
 class for the country as a whole, and the same by States; tables showing 
 the sources of the income returned in each income interval, that is the 
 amount from wages, business, property; distribution tables arranged by 
 sex and conjugal condition; amounts of tax collected from each income 
 class, etc. 
 
 Changes in the Federal Income Tax Law during the period have not 
 been such as greatly to affect any conclusions which we have drawn from 
 the data. From the standpoint of this investigation, probably the mosl 
 important changes in the law relate to general deductions, professions, and 
 minimum taxable income. 
 
 In the 1916 returns all deductions were classified as general deductions. 
 
 1 The Annual Reports of the Com?rn'ssit>in r of Fnttrnal ' are the sources for American 
 income-tax data for the years L913 to r.tl.j. Since 1915 the data have appeared annually 
 as a separate Treasury Department publication entitled Statistics of I 
 
 2 A peculiarity of the 1916 data is that the returns are tabulated as family rather tlian in- 
 dividual returns. "The net incomes reported on separate returns made by husband and wife 
 in 1916 are combined and included as one return in the figures for the several classes." Statis- 
 tics of 1 ncoim. 1 "J 17, p. 22. 
 
 401
 
 402 PERSONAL DISTRIBUTION OF INCOME IN U. S. 
 
 In the 1917 returns the types of deductions classified as general deductions 
 were greatly reduced; not even contributions were included. In 1918 the 
 category was enlarged; contributions, for example, were again placed in 
 the general deductions class. Now these changes affect greatly the rela- 
 tions between net and total income from year to year. Reported net income 
 was in 19 10 only 75.43 per cent of reported total income, in 1917 it was 
 92.67 per cent, in 1918 89.74 per cent, and in 1919 88.51 per cent. As 
 it is the total and not the net income which in the Statistics of Income, is 
 divided up according to source, such fluctuations as the above interfere 
 with comparisons of different years. 
 
 While income from professions was tabulated separately in 1916, in 1917 
 it was included in wages and salaries, and in 1918 and 1919 in business. 
 
 In the 1913 to 1916 returns exemptions were $3,000 per annum for an 
 unmarried person, or a married person not living with his wife (or her 
 husband), and $4,000 per annum aggregate exemption for married persons 
 living together. 1 In the 1917 and later returns these minima were reduced 
 to $1,000 and $2,000 respectively. However, the increase in usefulness for 
 our purposes of the 1917 and later returns was even greater than the 
 lowered minima would suggest. Not only was the minimum taxable 
 income lowered from $3,000 to $1,000, but this reduction occurred in the 
 face of a rapidly rising general level of incomes. With the rise in incomes, 
 $3,000 in 1918 or 1919 was relatively a much smaller income than $3,000 
 in 1913. In other words, we might logically expect $3,000 to be relatively 
 further down the income distribution curve in 1918 than in 1916 or 
 1917. 
 
 The accuracy of the reporting is, of course, a matter of great importance 
 for this investigation. Now, while it does not seem possible to measure 
 directly from the data changes in accuracy of reporting during the period, 
 the rapid expansion of the income-tax organization and its increasing 
 attention to the investigation and checking of returns establish the pre- 
 sumption of greater statistical value in the reports for the later years. 
 Offsetting this to an unknown degree is the apparently increasing amount 
 of "legal evasion" in the higher income classes. The reporting for the 
 years 1913, 1914, 1915 and 1916 appears to have been peculiarly bad in 
 the lower income ranges. The distinct improvement in 1917 (compare 
 the 1917 returns with those for earlier years in Tables 28B, 28C, 28D, 28E, 
 and Charts 27 and 28 of Volume I) seems associated with the patriotic 
 enthusiasm engendered by the war. Upon our entry into the war, not 
 only did the Bureau of Internal Revenue make an increased effort to ob- 
 
 1 As the returns for 1913 were for income received for the ten months March 1 to December 
 31, 1913, the actual minima used for reporting purposes were $2,500 and $3,333.33 (i. e., \% 
 of $3,000 and $4,000 respectively).
 
 AMERICAN INCOME TAX RETURNS 403 
 
 tain correct returns but individuals, under the spur of patriotism, seem to 
 have made less effort to evade. 1 
 
 The remainder of this chapter is concerned largely with a discussioD 
 of possible irregularities in the distribution of non-reporting and under- 
 statement in the later years. While the total amount of non-reporting 
 and understatement was almost certainly greater in the returns for 1917 
 than in those for 1918 and 1919, are we sure that the non-reporting and 
 understatement of these later years are not possibly more irregularly dis- 
 tributed along the frequency curve than was the case in 1917? Is it 
 possible that the improvement in the accuracy of the published returns 
 for 1918, as compared with those for 1917, was so much greater in the 
 income intervals under $5,000 that the resulting change in the shape of 
 the frequency curve may amount to something almost akin to an "over- 
 adjustment"? 
 
 Income returns by individuals are made on two types of blanks, a blank 
 to be filled in by persons reporting incomes under S5,000 and another 
 blank to be filled in by persons reporting incomes over that figure. Now, 
 while the returns of incomes under 85,000 and made on "under 85,000" 
 blanks are examined, investigated and audited in the field soon after 
 their receipt, the investigation and audit of the returns for incomes over 
 85,000 are handled in Washington. If an individual has an actual income 
 of $8,000 but reports $4,000 (on an "under 85,000" blank), as soon as a 
 Field Collector discovers this discrepancy, he passes the matter over to 
 the Revenue Agent in charge of the District for Field Investigation. The 
 return, accompanied by the Agent's report, is forwarded to Washington 
 for final audit. Thus the Field Collectors audit only returns thai are a 
 made on "under $5,000" blanks and (b) believed, after investigation, to be 
 for incomes which are actually under $5,000. 
 
 While the Field Audit of returns of these incomes is well under way 
 before the preparation of the statistical tables in the Statistics of Incorm 
 and hence appears in that tabulation to an unknown extent, the Washing- 
 ton audit of incomes over $5,000 has hardly begun and hence the amended 
 figures for these higher incomes do not appear in the Statistics of Incorm . 
 It is impossible to say exactly how much of the "bulge" - which appears 
 in the $1,000 to 85,000 interval on the double log charts of the 1918 and 
 1919 tax income distributions is caused by a difference in the accuracy 
 of the published figures for returns of incomes under and over $5,000. 
 However, the Treasury Department states that "the Statistics of Inc 
 
 1 It must not, of course, be assumed that the increase in the number of returns in 1917 is 
 traceable solely to increased goodness of reporting. 
 
 2 Described in Chapter 28. At many points in the following discussion the reader should 
 refer back to the presentation of the case for heterogeneity in the income-tax data contained 
 in Chapter 28.
 
 404 PERSONAL DISTRIBUTION OF INCOME IN U. S. 
 
 are compiled almost entirely from unaudited returns whether they be for 
 'under $5,000' or 'over $5,000."' It seems probable therefore that the 
 sudden change in slope of the 1918 curve (on a double log scale) at about 
 $5,000 can be explained only partially by a change in accuracy of the 
 published returns at that point. 
 
 Moreover, a considerable amount of evidence, some of which has already 
 been presented in Chapter 28, suggests that the "bulge" on the income 
 curves for the later years corresponds to a reality on the actual income 
 curves. While it may be somewhat over-accented in the published figures 
 for 1918 and 1919, and while the figures for 1917 might have shown more 
 of such a "bulge" * had the reporting been better, we must not assume 
 that the published figures for either 1917 or 1918 give a radically incorrect 
 picture of the facts merely because the income curves for the two years 
 are so different. The dogma of the similarity of the income curve from 
 year to year has little evidence to support it. 
 
 It is by no means certain that even the apparently definite and sharp 
 angles on the curves in this $4,000 to $6,000 region give an unreal picture. 
 While it is true that we find the same angles on the wages and salaries 
 curve, that curve itself seems heterogeneous. An income distribution 
 curve composed of wage and salary earners (in the ordinary sense of the 
 terms) may well cut an income distribution curve composed of "salaried 
 entrepreneurs," and business and financial experts somewhere in the lower 
 income ranges. The angle on the composite curve may give a decidedly 
 accurate picture of the facts. 2 
 
 Let us see what light the data throw on some of these problems. 
 Table 30A showing the number of returns for the lower income intervals 
 in 1917, 1918, and 1919 and the percentage movements from year to year 
 illustrates the great increase in the number of returns in the under-$5,000 
 intervals between 1917 and the later years. 
 
 Chart No. 28 of Volume I, on which are drawn the frequency distributions 
 for each year from 1916 to 1919 on a double log scale, shows the difference 
 in the appearance of the income curves for the three years. Examining 
 that chart we notice that the 1918 data-points, which in the upper income 
 ranges run nearly as smoothly as the 1917 points, in the $4,000 to $5,000 
 interval move abruptly upwards and from there on into the lowest income 
 ranges are well above the 1917 points, showing on the chart an irregular, 
 plateau-like effect in these lowest income ranges. No such "plateau" 
 is apparent on the 1917 line. The year 1919 presents in that chart a 
 
 1 While the 1917 curve runs much more smoothly in the $3,000 to $6,000 range than either 
 the 1918 or 1919 curves, it is not without the hint of a bulge beginning at about $4,500. See 
 p. 412. 
 
 2 In constructing the complete income distribution curve for 1918, published in Volume I, 
 the influence of changes in the accuracy of reporting around $5,000 income was probably 
 overestimated.
 
 AMERICAN INCOME TAX RETURNS 
 
 m 
 
 TABLE 30A 
 
 
 Number of returns 
 
 Percentage increases 
 
 Income intervals 
 
 1917 
 
 1918 
 
 1919 
 
 1918 
 over 
 1917 
 
 1919 
 over 
 1918 
 
 1919 
 over 
 1917 
 
 $2,000-$3,000 
 3,000- 4,000 
 4,000- 5,000 
 
 838,707 
 374,958 
 185,805 
 
 1,496,878 
 610,095 
 322,241 
 
 1,569,741 
 742,334 
 438,154 
 
 78.47 
 62.71 
 73.43 
 
 4.87 
 21.68 
 35.97 
 
 87.16 
 
 97.98 
 
 135.81 
 
 5,000- 6,000 
 6,000- 7,000 
 7,000- 8,000 
 8,000- 9,000 
 9,000-10,000 
 
 105,988 
 64,010 
 44,363 
 31,769 
 24,536 
 
 126,554 
 79,152 
 51,381 
 35,117 
 27,152 
 
 167,005 
 109,674 
 
 73,719 
 50,486 
 37,967 
 
 19.40 
 23.66 
 15.82 
 10.54 
 10.66 
 
 31.96 
 38.56 
 
 43.48 
 43.77 
 39. 83 
 
 57.57 
 71.34 
 66.17 
 58.92 
 54.74 
 
 similar appearance to 1918 though the absence of small intervals in the 
 range immediately above $5,000 disguises the characteristics of the curve 
 materially. 1 
 
 The change in the contour of the lower range of the tax income frequency 
 curve from 1917 to 1918 and 1919, is, as we have mentioned, associated 
 with a large increase in the relative amount of income from wages and 
 salaries in the lower intervals. Tables 30B and 30C are interesting in 
 this connection. 2 
 
 The 1916 figures in Table 30B are introduced simply because they 
 are computable. 3 However, too much weight must not be attached to 
 them. The 191G returns are undoubtedly extremely inadequate. The 
 high percentages that year from $3,000 income (the 1916 minimum) up 
 to about $10,000 may possibly be the result of the ease with which salary 
 returns (as opposed to wage, business, or other returns) are obtainable. 
 The $4,000 to $5,000 interval is the lowest comparable interval for the 
 four years. 4 In that interval the numbers of returns by years were: 
 
 1916- 72,027 
 1917-185,805 
 1918-322,241 
 1919-438,154 
 
 1 When chart 28 was drawn for Volume I, only "preliminary" large interval data were 
 available. Final small interval data show a "bulge" very similar to that seen in the 1918 line. 
 
 2 The 1917 official wages figures include income from professions. The 1018 and 191!) wages 
 figures do not. This makes the increase in the percentages in 1918 still more striking. In- 
 come from professions was tabulated separately in 1916, l>ut was included in the voagi s figures 
 for that year in order that 1916 and 1917 might be comparable. 
 
 3 No data are available front which corresponding figures for 1913, 1914 or 1915 might 
 be calculated. 
 
 * The $3,000-84,000 interval did not in 191G, include married persons making a joint return.
 
 406 
 
 PERSONAL DISTRIBUTION OF INCOME IN U. S. 
 
 TABLE 30B 
 
 PER CENT THAT INCOME FROM WAGES AND SALARIES IN EACH NET 
 INCOME CLASS WAS OF TOTAL NET INCOME IN THAT CLASS 
 
 Income class 
 
 1916 
 
 1917 
 
 1918 
 
 1919 
 
 $ 1,000-$ 2,000 
 2,000- 3,000 
 3,000- 4,000 . 
 2,000- 4,000 
 4,000- 5,000 
 
 76.98 
 66.86 
 
 46.32 
 36.30 
 
 79.45 
 69.75 
 55.21 
 
 (64 . 42) 
 48.85 
 
 83.49 
 74.53 
 61.86 
 
 (69.45) 
 52.48 
 
 5,000- 10,000 
 
 10,000- 20,000 
 
 20,000- 40,000 
 
 40,000- 60,000 
 
 60,000- 80,000 
 
 80,000- 100,000 
 
 100,000- 150,000 
 
 150,000- 200,000 
 
 200,000- 250,000 
 
 250,000- 300,000 
 
 300,000- 500,000 
 
 500,000-1,000,000 
 
 1,000,000-1,500,000 
 
 1,500,000-2,000,000 
 
 2,000,000 and over 
 
 53.31 
 
 36.38 
 
 24 . 60 
 
 17.23 
 
 16.20 
 
 13.37 
 
 13.34 
 
 9.39 
 
 9.14 
 
 7.87 
 
 6.59 
 
 5.21 
 
 4.84 
 
 3.23 
 
 .51 
 
 36.16 
 
 32.94 
 
 26.82 
 
 22.74 
 
 19.67 
 
 18.51 
 
 15.75 
 
 12.65 
 
 12.30 
 
 9.36 
 
 10.17 
 
 6.39 
 
 2 . 83 
 
 3.76 
 
 2.39 
 
 39.59 
 
 38.60 
 
 33.16 
 
 27.88 
 
 25.36 
 
 22 . 16 
 
 18.44 
 
 16.16 
 
 13.07 
 
 12.57 
 
 11.27 
 
 5.42 
 
 7.54 
 
 2.21 
 
 .85 
 
 43.24 
 38.11 
 33.38 
 27.57 
 24.01 
 22 . 70 
 18.75 
 15.42 
 13.62 
 11.92 
 10.18 
 6.80 
 1.60 
 10.00 
 4.02 
 
 The amounts of income from wages and salaries and from other net income 
 in the $4,000-15,000 interval were year by year in millions of dollars: 
 
 
 1916 
 
 1917 
 
 1918 
 
 1919 
 
 Wages and salaries a . 
 
 216 
 107 
 
 301 
 
 528 
 
 703 
 736 
 
 1,029 
 
 < >ther net income 
 
 931 
 
 a Income from professions is included in the 1916 and 1917 wages and salaries figures. 
 
 The percentage changes in these items from one year to the next were: 
 
 1917 1918 1919 
 
 1916 
 
 Wages and salaries 139 . 3 
 
 Other Net Income 493.0 
 
 1917 
 
 233.7 
 139.4 
 
 1918 
 146.4 
 126.6 
 
 It is plain that the great increase in the $4,000-15,000 interval 1 in 1917 
 was in income from other sources than wages and salaries. 
 
 Table 30C shows the wage and salary figures compared with total income 
 instead of net income as in Table 30B. It was, of course, necessary to re- 
 tain the net income intervals as the data are not classified in total income 
 
 1 As may be seen from Tables 30B and 30C, the increase from 1916 to 1917 in income from 
 other sources than wages and salaries was greater than the increase in income from wages 
 and salaries not only in the $4,000-$5,000 interval but also in the $5,000-$ 1U.U00 interval.
 
 AMERICAN INCOME TAX RETURNS 
 
 407 
 
 intervals. Though the relations between years are different in this table 
 from what they are in the net income table, 1 the distribution of the per- 
 centages in each individual year shows much the same characteristics in 
 both tables. 
 
 TABLE 30C 
 
 PER CENT THAT INCOME FROM WAGES AND SALARIES IX EACH NET 
 INCOME CLASS WAS OF TOTAL INCOME IN THAT (LASS 
 
 Income class 
 (Net) 
 
 1910 
 
 1917 
 
 1918 
 
 1919 
 
 $ 1,000- $2,000 
 
 
 
 74.67 
 
 77.25 
 
 2,000- 3,000 
 
 
 
 65.42 
 
 lilt. 14 
 
 3,000- 4,000 
 
 47.74 
 
 
 51.14 
 
 56.71 
 
 2,000- 4,000 
 
 
 1 1 82 
 
 (60.15) 
 
 64 12) 
 
 4,000- 5,000 
 
 45.96 
 
 33.60 
 
 44. s2 
 
 17 12 
 
 5,000- 10,000 
 
 3G.38 
 
 33.87 
 
 33.55 
 
 36.60 
 
 10,000- 20,000 
 
 25.76 
 
 30. so 
 
 33 . 10 
 
 32 70 
 
 20,000- 40,000 
 
 18.81 
 
 25 . 20 
 
 28.76 
 
 28 36 
 
 40,000- 60,000 
 
 13.75 
 
 21.23 
 
 2:5.79 
 
 23 39 
 
 60,000- 80,000 
 
 12.76 
 
 IS. 56 
 
 21.51 
 
 20.33 
 
 80,000- 100,000 
 
 10 71 
 
 17.61 
 
 19.00 
 
 lit 25 
 
 100,000- 150,000 
 
 11.06 
 
 15.05 
 
 15.92 
 
 1 5 40 
 
 150,000- 200,000 
 
 7.68 
 
 12.01 
 
 13.10 
 
 12 11 
 
 200,000- 250,000 
 
 7.83 
 
 11.75 
 
 1 1 22 
 
 11 . 26 
 
 250,000- 300,000 
 
 6.64 
 
 8.71 
 
 10.73 
 
 9 SO 
 
 300,000- 500,000 
 
 5.50 
 
 9.59 
 
 9.62 
 
 8.19 
 
 500,000-1,000,000 
 
 4.35 
 
 5.88 
 
 4.37 
 
 5.38 
 
 1,000,000-1,500,000 
 
 4.12 
 
 2.62 
 
 6.29 
 
 1 . : ; 1 
 
 1,500,000-2,000,000 
 
 2.82 
 
 3 5 1 
 
 1.81 
 
 s 51 
 
 2,000,000 and over 
 
 .47 
 
 2 . 18 
 
 .63 
 
 .32 
 
 The percentages in Tables 30B and 30C show each year a sudden increase 
 (as we approach the lower income intervals) somewhere in the 84,000 t<> 
 $5,000 or the $5,000 to $10,000 interval. At exactly what point each year 
 do these sudden increases seem to occur? Charts 30D, 30E and 30F pre- 
 sent the material in a slightly different form. They illustrate the relation- 
 ship between the average income from wages and salaries in each net 
 income interval and the average total income in the same net income in- 
 terval for the years 1017, 1918 and 1019 on a double log scale. The 1918 
 and 1919 charts immediately suggest the improbability of being able to 
 describe the data by a single simple mathematical expression. To the 
 1918 data-points have been applied two distinct mathematical curves, 
 which fit the data remarkably well and intersect at about $6,700 total 
 income. The curve fitted to the upper income ranges is a parabola, while 
 that fitted to the lower income ranges is an hyperbola, one of whose asymp- 
 totes is the 45° line which divides the chart into a "possible" and an "im- 
 
 1 Some reasons for the changes in relation of net to total income from year to year are 
 mentioned on pages 401 and 102.
 
 408 
 
 PERSONAL DISTRIBUTION OF INCOME IN U. S 
 
 
 
 
 CHART 30 D 
 
 
 US IMC0ME TAX RETURNS / 
 
 
 
 
 1917 / 
 
 
 
 3 
 
 < 
 
 a 
 
 o 
 
 AVERAGE INCOME / 
 
 FROM / 
 
 WA6ES AND SALARIES / 
 AMD / 
 
 AVERA6E TOTAL INCOME / 
 
 IN / 
 
 EACH NET INCOME INTERVAL / 
 
 
 
 Q 
 O 
 
 Scales Logarithmic / 
 
 
 
 -100 g 
 
 z 
 
 < 
 
 CO 
 
 P 
 -50 § 
 -40 H 
 
 s ° ^^"^ 
 
 
 o 
 
 -30 23 
 5 
 
 -20 j 
 
 < 
 
 CO 
 
 
 
 
 
 o 
 WAGES AND 
 
 
 
 
 -5 S 
 
 o 
 
 -4 £ 
 
 
 
 
 O 
 -2 Z / 
 
 ° / 
 
 
 
 4 
 
 TOTAL INCOME IN THOUSANDS OF DOLLARS 
 
 
 
 i 
 
 3 4 5 10 20 30 40 50 100 200 800 400 500 
 
 1.000 
 
 2,000 3,0001000 
 
 X
 
 AMERICAN INCOME TAX RETURNS 
 
 409
 
 410 
 
 PERSONAL DISTRIBUTION OF INCOME IN U. S. 
 
 CHART 30F 
 
 < 
 -J 
 j 
 o 
 
 Q 
 U. 
 
 100C 
 
 CO 
 
 a 
 z 
 
 < 
 
 50 g 
 40 = 
 
 US INCOME TAX RETURNS 
 1919 
 
 AVERAGE INCOME 
 
 FROM 
 
 WAGES AND SALARIES 
 AVERAGE TOTAL INCOME 
 
 IN 
 
 EACH NET IMCOME INTERVAL 
 Scales Logarithmic 
 
 TOTAL INCOME IN THOUSANDS OF DOLLARS 
 
 10 20 30 40 50 100 200 300 400 500 
 
 ' , , i , , , 
 
 1,000 
 
 2,000 3,000 4,000 
 
 i
 
 AMERICAN INCOME TAX RETURNS 
 
 411 
 
 possible" area. The equations of the two (1918) curves on a double log 
 scale are (I) y + 3.92945 — 2.744 x 4- .22 x - = (parabola) 
 
 (II) y - — 3.981909 y-- .867240 xy 4- 3.981909 x — .132754 z 2 
 — .060262 = (hyperbola) 
 As it is difficult to estimate accurately by eye the goodness of fit of a curve 
 to data when charted on a log scale, Table 30E is introduced: 
 
 TABLE 30E 
 
 WAGES AND INCOME IN THE 1918 INCOME TAN RETURNS 
 
 Net income 
 intervals (1918) 
 
 S 1,000-8 
 
 2,000- 
 
 3,000- 
 
 4,000- 
 
 5,000- 
 
 6,000- 
 
 7,000- 
 
 8,000- 
 
 9,000- 
 
 10.000- 
 
 1 1 .000- 
 
 12,000- 
 
 13,000- 
 
 14,000- 
 
 15.000- 
 
 20,000- 
 
 25,000- 
 
 30,000- 
 
 40.000- 
 
 50,000- 
 
 ( ;o ooo- 
 
 7(1.000- 
 
 80,000- 
 
 90,000- 
 
 100.1)01) 
 
 150.000- 
 
 200,000- 
 250,000- 
 300.000- 
 400,000- 
 
 .-,1)0,01)0 
 
 7 :,o.ooo-l 
 1.000.000-1 
 I..", 00. 000-2 
 •j. ooii ooo 3 
 3,000,000-4 
 
 2,000. 
 
 3.000. 
 
 4.000. 
 
 5,000. 
 
 6,000. 
 
 7.000. 
 
 8,000. 
 
 0,000 
 10,000. 
 11.000. 
 
 12,000 . 
 13.000. 
 
 14,000. 
 15,000. 
 20,000. 
 
 25,000. 
 :;o.000. 
 lo.OOO. 
 50,000. 
 60,000. 
 70.000. 
 S0.000 
 
 90,000. 
 
 100.000. 
 
 150,000 
 
 200.000. 
 2.-0.000 
 300.000 
 400,000 . 
 500,000 . 
 7 r.o.OOO. 
 
 .000.000 
 ..-,00,000. 
 ,000,000 . 
 000,000. 
 000,000 
 
 Average 
 total income 
 
 8 1,566 
 
 2,583 
 
 3,710 
 
 4,866 
 
 6,388 
 
 7,620 
 
 8,952 
 
 10,148 
 
 11,214 
 
 12.207 
 
 13,707 
 
 14,263 
 
 15,922 
 
 16.77s 
 
 20,167 
 
 25,859 
 
 31.704 
 
 39,644 
 
 52,319 
 
 64,327 
 
 74. sis 
 
 90.437 
 
 98,379 
 
 111,515 
 
 139.. -,20 
 2 11, 0.V.i 
 259,487 
 317,578 
 109,756 
 .',14,882 
 765,! K)5 
 
 1.013. sir, 
 
 1,426,182 
 
 2.0s 1.71.-, 
 
 3.203.07.; 
 1.515.732 
 
 Average income from 
 wages and salaries 
 
 Data 
 
 8 1,169 
 
 1.600 
 
 l.so7 
 
 2,181 
 
 2,192 
 
 2.537 
 
 2,963 
 
 3,341 
 
 3,747 
 
 4,171 
 
 4,555 
 
 4,806 
 
 5.520 
 
 5,801 
 
 6,375 
 
 7,891 
 
 9,196 
 
 10,711 
 
 12.039 
 
 14.963 
 
 10.570 
 
 is. 701 
 
 19,273 
 
 20,447 
 
 22 212 
 
 27J58 
 
 29,107 
 
 34,076 
 
 44,393 
 
 38,967 
 
 27,582 
 
 01.183 
 
 89,710 
 
 37,118 
 
 51 '. 17s 
 
 11,013 
 
 Mathematical 
 curves 
 
 8 1.17s 
 1.052 
 1,955 
 2,117 
 2,216 
 2,555 
 3,012 
 3,407 
 3,760 
 4,07s 
 4,542 
 4,709 
 5,204 
 
 5, 155 
 6,400 
 7,860 
 9,211 
 
 10,872 
 13. 102 
 
 15.000 
 
 16,539 
 
 IS. 150 
 10.351 
 20,682 
 23,163 
 27,829 
 
 30 1s 
 32.220 
 3,1.7s.; 
 36.sl7 
 39,765 
 41.220 
 12,199 
 12.100 
 10.720 
 38,753 
 
 Percentages 
 that data are of 
 mathematical 
 
 curves 
 
 99 2 
 
 102 3 
 97.0 
 
 103.0 
 98 9 
 
 99. 
 
 OS 
 
 98. 
 
 99. 
 102 
 100. 
 102. 
 
 .3 
 
 .4 
 
 1 
 
 .7 
 3 
 
 .3 
 1 
 
 106.2 
 
 106.3 
 
 99.6 
 
 1 
 
 s 
 
 .5 
 
 100. 
 gg 
 
 98 
 95.8 
 
 99.3 
 100.2 
 101.7 
 
 99.6 
 
 95.9 
 
 99 7 
 
 96.8 
 
 105 7 
 
 127 6 
 
 105.8 
 
 69. 1 
 
 148.4 
 
 212.6 
 
 ss 
 
 123 2 
 
 28 1 
 
 The data of table 30E move 1 rather erratically in the intervals above 
 8300,000 per annum income. This is natural in view of the small number
 
 412 
 
 PERSONAL DISTRIBUTION OF INCOME IN U. S. 
 
 of cases in these upper intervals. There were only 627 returns reporting 
 net incomes of over $300,000 per annum; this is less than one seventieth 
 of one per cent, of the total number of returns. In the 28 intervals under 
 $300,000 per annum 14 of the percentages show the data within one and 
 one half per cent, of the mathematical values. 
 
 These mathematical curves have not been introduced as being in any 
 sense the "law" of the data but merely to emphasize how smoothly the 
 data curves run and yet how unmistakable a sensation they give us of two 
 parts, one above about $6,700 total income and one below that figure. 1 
 It would, of course, be quite impossible to get any sort of approximation 
 to the lower range data by producing the parabola fitted to the upper 
 income ranges. How impossible may be seen from Table 30EE. 
 
 TABLE 30EE 
 
 WAGES AND INCOME IN THE 1918 INCOME TAX RETURNS 
 
 
 Average 
 
 total 
 income 
 
 Average income from wages 
 and salaries 
 
 Percentages that 
 data are of 
 
 intervals (1918) 
 
 Data 
 
 Hyper- 
 bola 
 
 Para- 
 bola 
 
 Hyper- 
 bola 
 
 Para- 
 bola 
 
 $4,000-$5,000 
 3,000- 4,000 
 2,000- 3,000 
 1,000- 2,000 
 
 $4,866 
 3,710 
 2,583 
 1,566 
 
 $2,181 
 1,897 
 1,690 
 1,169 
 
 $2,117 
 1,955 
 1,652 
 1,178 
 
 $1,574 
 
 1,152 
 
 745 
 
 391 
 
 103.0 
 97.0 
 
 102.3 
 99.2 
 
 138.6 
 164.7 
 226.8 
 299.0 
 
 The 1919 data show the same two-curve appearance as the 1918 data. 
 This may be clearly seen from chart 30F. 2 The intersection of the two 
 curves would be at about $7,100 instead of $6,700 as on the 1918 chart. 
 Is there any sign of such a change from one curve to another on the 1917 
 data? There seems to be. Chart 30D shows the 1917 data with a parabola 
 fitted to the observations above the first interval. This curve and Table 
 30D give us a strong impression that the first interval cannot be described 
 by any simple curve which describes the remainder of the data. The same 
 two-curve characteristics as the 1918 and 1919 data are strongly suggested. 
 
 The equation of the 1917 parabola on a double log scale is y + 1.8417 — 
 1.8346 x + .124 x 2 = 0. The poorness of the fit to the first interval and 
 the comparative goodness of the fit to the remainder of the data as high as 
 $250,000 per annum may be seen from Table 30D. If the data were 
 numerous enough to permit us fitting two curves they would probably 
 intersect at about $4,500. 
 
 1 An alteration in the size of the intervals in which the data are quoted by the Income Tax 
 Bureau would of course change the data curve to some extent. However, taking the intervals 
 as they conic and fitting the curves to them we get the unmistakable impression of great regu- 
 larity. It seemed scarcely worth while to fit the curves to areas rather than points. 
 
 2 The story told by Chart 30F is so plain it seemed hardly necessary to fit another set of 
 curves.
 
 AMERICAN INCOME TAN RETURNS 
 
 413 
 
 TABLE 30D 
 
 WAGES AND 
 
 INCOME IN 
 
 THE 1917 INCOME TAX RETURNS 
 
 
 Average 
 total income 
 
 Average income from 
 wages and salaries 
 
 Percent a«es 
 that data are of 
 
 intervals (1917) 
 
 
 Mathematical 
 
 mathematical 
 
 
 
 Data 
 
 curve 
 
 curve 
 
 $ 2,000-$ 4,000 . . . 
 
 $ 3,059 
 
 $1,280 
 
 $1,101 
 
 116.3 
 
 4,000- 5,000... 
 
 4,818 
 
 1,619 
 
 1,688 
 
 95.9 
 
 5,000- 10,000... 
 
 7,210 
 
 2,442 
 
 2,422 
 
 100.8 
 
 10,000- 20,000 . 
 
 14,61':; 
 
 4,517 
 
 1 374 
 
 103.3 
 
 20,000- 40,000 . 
 
 29,236 
 
 7.368 
 
 7,411 
 
 99.4 
 
 40,000- 60.000 . . . 
 
 51,940 
 
 11,024 
 
 11,03s 
 
 99.9 
 
 60.000- 80,000... 
 
 72,811 
 
 13,516 
 
 13,699 
 
 98.7 
 
 80,000- 100,000 . . . 
 
 93,742 
 
 16,510 
 
 15,992 
 
 103.2 
 
 100,000- 150,000. . . 
 
 126,'. 179 
 
 19,108 
 
 19,081 
 
 100.1 
 
 150,000- 200,000 . . . 
 
 181,156 
 
 21,758 
 
 23,147 
 
 94.0 
 
 200.000- 250,000 . . . 
 
 23:;. ssi) 
 
 27,501 
 
 26,388 
 
 104.2 
 
 250,000- 300,000 . . . 
 
 293,905 
 
 25,587 
 
 29,478 
 
 86.8 
 
 300,000- 500.000 . . . 
 
 398,.", 17 
 
 38,204 
 
 33,877 
 
 112.8 
 
 500,000-1,000,000. . . 
 
 740,769 
 
 43,558 
 
 43,632 
 
 99.8 
 
 1,000,000-1,500,000. . . 
 
 1.294,619 
 
 33,973 
 
 52,845 
 
 64.3 
 
 1,500,000-2,000,000. .. 
 
 1,812,388 
 
 64,201 
 
 58,358 
 
 110.0 
 
 2,000,000 and over. . . . 
 
 4,551,718 
 
 99,132 
 
 71,945 
 
 13.7.8 
 
 Both the regularity of the data curves and the positions of the inter- 
 sections of the mathematical curves 1 might suggest that heterogeneity 
 of the wages and salaries data was the primary cause of the irregularity 
 in the total income curve. The position of the points of intersection of the 
 mathematical curves might seem inconsistent with a sudden change in 
 accuracy of reporting at exactly $5,000. 
 
 However this argument does not appear so conclusive when we examine 
 the actual amount of wages in each income interval. The constitution of 
 the reported income each year may be seen rather plainly in ('harts 28T, 
 28U, 28V, 28W, 28X, 28Y, 28Z, and 28AA. 2 These chart - show the number 
 of dollars per dollar income interval reported in each income interval by 
 sources for the years 1910 to 1919. 3 They not only illustrate the facl that 
 the constitution of the income curve changes radically as we move from 
 small to large incomes but also picture the salient characteristics of these 
 changes; each source curve, being charted on a double log scale, may be 
 
 > Particularly the 1919 intersection which is above the s~>, ooo to so, not) m I income interval. 
 
 « See pages 3S5 to 392. 
 
 3 The five lines representing wages, business, rents, interest, and dividends were found to 
 interweave to such an extent when drawn on one chart that two charts were drawn for each 
 year, one representing wages and business and the other incomes from property. 
 
 Wages includes "salaries, wages and commissions" and in L916 and L917 "professions and 
 vocations." 
 
 Business includes "business." "partnerships, personal service corporations, estates, and 
 trusts," and " profits from sales of real estate, stocks, bonds, etc.," and in 1918 and L919 
 "professions." 
 
 Hints includes royalties. _ 
 
 I nit n si includes unclassified investment income.
 
 414 PERSONAL DISTRIBUTION OF INCOME IN U. S. 
 
 seen at a glance in its entirety. We see from Charts 28X and 28Z that, 
 though the ratio of the income from wages and salaries to total income 
 may, when charted, show an angle above $5,000, the entire "bulge" on 
 the wages and salaries curve itself occurs in the under-$5,000 intervals 
 both in 1918 and 1919. Moreover, while "wages and salaries" is the larg- 
 est item in these lowest income intervals, and hence is the controlling factor 
 in determining the peculiar shape of the total curve in this region, it is not 
 the only item showing irregularities and "bulges." Some of these move- 
 ments are extremely difficult to explain. Why should a "bulge" appear 
 on the lower income ranges of the "rent" curve in 1918 and by 1919 be- 
 come pronounced? * The appearance of a bulge on the wage curves in 
 1918 and 1919 seems quite explicable on the basis of heterogeneity within 
 the wage and salary data themselves but one feels a shade less confidence 
 in any explanation of why that curve moved in this peculiar manner if the 
 explanation does not seem also clearly applicable to the rents curve which 
 moved in an apparently similar manner. 
 
 1 A mere increase in rents will not, of course, account for this unevenness in their distribu- 
 tion.
 
 CHAPTER 31 
 
 INCOME DISTRIBUTIONS FROM OTHER SOURCES THAN 
 
 INCOME TAX RETURNS 
 
 Concerning the frequency distribution of incomes over $3,000 or $4,000 
 per annum we have almost no information aside from the income tax 
 returns. Existing wage distributions and non-tax income distributions 
 almost never reach higher than $2,500 or 83,000 per annum. 
 
 Even in the lower income ranges (under say 82,500 or 83,000) most of 
 the existing non-tax income distributions are of little use in our problem. 
 In the first place there are less than half a dozen distributions of this sort 
 which are not such small samples as to prevent us feeling much confidence 
 in their representative nature. 1 An even more serious defect of every such 
 distribution known to us, with one exception'- is that the purpose for which 
 the data have been collected almost inevitably makes them extremely 
 ill-adapted to our use. For example, one of the largest recent sample- is 
 prefaced by almost a page of introduction explaining what types of re- 
 cipients were purposely excluded. 3 This is rather typical. To base upon 
 such distributions any wide generalizations with respect to the income 
 curve for the country as a whole or even for the localities from which such 
 data were collected would be unwarranted. 
 
 Furthermore, almost without exception these studies in income distri- 
 bution are on & family basis. While it is sometimes possible to make a 
 
 1 For example, Chapin's well-known investigation into the distribution of incomes includes 
 only 391 workingmen's families, and the best distribution of farmers' incomes includes only 
 401 farmers from a single state. 
 
 2 Arthur T. Emery's distribution of income among I960 Chicago households. 
 
 3 "In studying the sources of income and the important i each source with relation to 
 
 the total inc me of a family the following limitations to the type of family schedules should 
 be kept in mind. No families were scheduled in which there wire children who lived as 
 boarders, that is, paid a certain sum per week or per month for board and spent the remainder 
 of their earnings or salary as they saw lit. X<> families were scheduled which kept any hoard- 
 ers. The number oi lodgers to be kepi by a family was limited to three at any one time. No 
 families wen- scheduled in which the total earnings of the family did not equal 75 per cent, or 
 more of the total income. It will be seen thai these limitations excluded a large number >>f 
 families and this materially affects the percentage of families having earnings from children 
 and income from lodgers, and also results in showing a larger percentage of the total income 
 as coming from the earnings <>f the husband than would lie the ease if the type of families 
 named had not been excluded from tic study. It also reduces the actual amount per family 
 earned by children and received from boarders or lodgers that would lie shown in case a cross 
 section of a community including all the types mentioned were used. The object in making 
 
 the exclusions named was to secure families dependent for support, as largely as possible, 
 
 upon tin' earnings of the husband. < >f course, it was impracticable to secure a sufficient 
 number of families in which the only source of income was the earnings <>f the husband, but 
 in following the course named the percentage of families having an income from other sources 
 has been very lamely reduced." "Cosl of Living in the United States — Family Incomes," 
 Monthly Labor Bi view, Dec., 1919, p. 30. 
 
 415
 
 416 
 
 PERSONAL DISTRIBUTION OF INCOME IN U. S. 
 
 rough estimate of the individual incomes from the family data, such es- 
 timates are not what are needed for our purposes. They can show nothing 
 but the distribution of income among the individuals constituting these 
 families and these families are almost inevitably so chosen as to make the 
 individuals composing them not representative of income recipients at 
 large. Analysis of the distribution of earnings among the individual mem- 
 bers of such families discloses an heterogeneity so extreme as to result in a 
 pronouncedly duomodal distribution curve. The fathers' incomes have one 
 mode while the children's incomes have another. Chart 31A showing a 
 natural scale frequency distribution of earnings among 2811 individuals 
 in 2170 families in 1918 1 exhibits this duomodal appearance in a striking 
 manner. The "families" had been so chosen as to exclude both young 
 
 400 
 
 3 
 
 < 
 
 300 9 
 
 > 
 a 
 
 I 
 
 110(1 
 
 III!) 
 
 200 
 
 FREQUENCY DISTRIBUTION 
 OF 
 ANNUAL EARNIN6S OF 2eil INDIVIDUALS 
 IN 
 2170 FAMILIES IN THE U.S. IN 19)8. 
 
 Jounce: Burepu of i ftaoR Statistics 
 &cnu:s WaTURfrt. 
 
 CUAIIT31A 
 
 400 
 
 600 
 
 800 
 
 -a— 
 
 1,000 
 
 ANNUAL EARNINGS 
 
 1,200 1,400 
 
 1,000 
 
 1,800 
 
 I 
 
 2.000 
 
 2,2ft 
 
 -zm 
 
 married couples having no children and unmarried but independent wage 
 earners. Investigations planned to bring out the economic character- 
 istics of such "typical families," while they may be extremely valuable 
 for the purposes for which they were undertaken, are necessarily of but 
 little use in the construction of a frequency distribution of all individual 
 incomes in the community. Moreover, even if we were attempting to 
 construct a family and not an individual distribution these data would not 
 generally be particularly helpful for, in addition to the exclusions just 
 mentioned, further narrow and rigid restrictions are usually, and for the 
 purposes in view quite properly, imposed upon the definition of the " typical 
 family." 
 
 1 This is a sample from the 12,090 white families referred to in note 3, page 415 The 
 detailed figures of this sample were tabulated for us by the Bureau of Labor Statistics. 
 They cover 15 cities chosen as representative of the whole list. Each one of the 15 cities 
 shows the duomodal appearance referred to in the text.
 
 DATA FROM OTHER SOURCES THAN TAX RETURNS 417 
 
 As incidentally remarked above, there is one non-tax income frequency 
 distribution to which many of the above criticisms do not apply. It is 
 the distribution of income among 19G0 Chicago "households" in 1918 from 
 an investigation made by Mr. Arthur T. Emery for the Chicago Daily 
 News. 1 Instead of attempting to describe a "typical family" Mr. Emery 
 attempted to discover the "household" income of each person whose name 
 came at the top of a page in the Chicago city directory. Mr. Emery en- 
 countered many difficulties in attempting to follow out this scheme and 
 has himself pointed out sources of error. 2 Notwithstanding the inevitable 
 difficulties, Mr. Emery seems to have made a real effort to obtain a scien- 
 tific sample. While his distribution shows unmistakable irregularities, 
 it is in many respects for our purposes the most interesting and suggestive 
 recent non-tax income distribution available. 
 
 Finally, it seems impossible to obtain from these distributions any but 
 extremely general conclusions concerning the relation between income 
 from effort and income from property. The data have almost always 3 
 been so chosen as to eliminate any families obtaining an appreciable frac- 
 tion of their income from property. While they may give us some clues 
 as to the shape of the upper range tail of the wage-earners' income distri- 
 bution curve 4 they can tell us little about even the upper tail of the general 
 income curve and almost nothing about the lower income tail of either the 
 wage-earners' or the general income curve. 
 
 1 While the Bureau is not at liberty to publish this material we were permitted to make 
 what use we could of it in constructing our income curve for the country. 
 
 2 In a letter to the Bureau he writes, "There was, however, one important source of error 
 in this method — the poorer and middle class residents were willing to talk, and with the care- 
 fully trained approach of the investigator, the upper class was also won over, but we found 
 in the wealthy districts that the butler and 'not at home' caused a lar<re amount of travel 
 on the part of the investigator," and often a final failure to obtain any report. 
 
 3 These remarks do not apply to the distribution of income among the 401 fanners or Mr. 
 Emery's distribution. However, the Bureau has no figures, in the case of Mr. Emery's dis- 
 tribution, for income from property. 
 
 4 Compare pages 37S, 37'J, 360.
 
 CHAPTER 32 
 WAGE DISTRIBUTIONS 
 
 There is in all an immense amount of American wage data. On the other 
 hand, as an investigator gets into his subject, he begins to realize that the 
 material is more remarkable for its fragmentary nature than for its amount 
 — great as that may be. For no recent year can he obtain wage distribu- 
 tions for more than about 8 per cent, of those gainfully employed. Of 
 course, if these 8 per cent, were scattered over the different types of em- 
 ployment and localities in any truly random fashion, and if their wages 
 were uniformly reported, much might be done with the material. As 
 things are, however, whole occupations as important as agricultural labor 
 and trade are almost unrepresented. Moreover, as we are interested in 
 the amount of wages actually received during the year, it is rather dis- 
 couraging to find that this is the one type of distribution which practically 
 never occurs. Distributions of amounts actually earned in a month are 
 almost as rare. There are a few distributions of amounts actually earned 
 in a week or fortnight, but the great majority of wage distributions are 
 distributions of wage rates — figures by the hour being the commonest — or 
 of hypothetical earnings, generally known as full-time earnings per week. 
 
 Now it is in general impossible to construct a wage distribution for earn- 
 ings from a distribution of rates. Earnings depend, of course, not only on 
 rates but also on hours worked. However, we seldom know anything about 
 the distribution of hours worked and almost never do we know anything 
 about the relation between rates and hours worked. Chart 32A illustrates 
 how violent may be the difference in shape of the earnings and rates curves 
 for the same individuals. 1 The earnings distribution in this particular 
 case shows not only a much greater scatter than the rates distribution but 
 is of an entirely different shape, as may be seen from Chart 32B where the 
 data are drawn on a double log scale. Chart 32C shows the distribution 
 of hours worked in a week for the same individuals. Now, though the 
 slaughtering and meat packing industry may be an extreme example, 
 what evidence we have suggests that distributions of rates and of earnings 
 are rarely in close agreement. Moreover the relation of the one distribu- 
 tion to the other changes as we pass from industry to industry. 2 
 
 1 43,063 Male Employees in the Slaughtering and Meat Packing Industry in 1917. Bureau 
 of Labor Statistics, Bulletin 252. For purposes of comparison the two distributions are so 
 placed that the frequency curves show the same arithmetic means and areas. 
 
 2 Resulting largely, of course, from the varying types of distributions of hours-worked-in- 
 
 418
 
 WAGE DISTRIBUTIONS 
 
 410 
 
 CHART 32 A 
 
 FREQUENCY DISTRIBUTIONS OF RATES OF 
 WAGES PER HOUR AND EARNINGS PER WEEK 
 FOR A3, 063 MALE EMPLOYEES in THE 
 SLAUGHTERING AND MEAT PACKING INDUSTRY 
 IN THE US IN 1917. 
 Soukce Burt£Ru of ineoR SrmisTics Bcn.L£n/y zsz 
 
 % 
 
 4e. 
 
 % 
 
 V"L 
 
 
 % 
 
 % 
 
 CHART 32 B 
 
 FREQUENCY DISTRIBUTIONS OF RATES OF WAGES PER HOUR 
 
 AMD EARNINGS PER WEEK FOR 43,063 MALE EMPLOYEES 
 
 IN THE SLAUGHTERING AND MEAT PACKING INDUSTRY IN 
 
 THE U.S. IN ISI7. 
 
 SCU/?C£ BUftEftU Of LABOR &TftTISTICS BULLETIN 2SZ 
 ■5CflJ.CS LOGRKITH/MC.
 
 420 
 
 PERSONAL DISTRIBUTION OF INCOME IN U. S. 
 
 - 5,000 
 
 4,000 
 
 1,000 
 
 J 
 
 CHART32C 
 
 3,000 < 
 
 s 
 
 o 
 
 as 
 
 3 
 
 03 
 
 s 
 
 2.000 z 
 
 FREQUENCY DISTRIBUTION 
 OF 
 HOURS WORKED IN A WEEK 
 
 FOR 
 
 43,063 MALE EMPLOYEES 
 
 IN THE 
 
 SLAUGHTERING AND MEAT PACKING INDUSTRY 
 
 INTHE 
 
 U. S. IN 1317. 
 
 Source Bukcw of L tiBOf? St/vt/stics 
 
 8<JLLETIH,2SZ 
 
 20 
 
 30 
 
 HOURS WORKED IN THE WEEK 
 50 60 
 
 70 
 
 -J— 
 
 80 
 
 _1_ 
 
 The same difficulty as we find in any attempt to estimate the distribu- 
 tion of earnings per week from the distribution of rates per hour seems 
 inherent in any attempt to estimate the distribution of earnings in a year 
 from the distribution of earnings in a week. The unknown distribution of 
 weeks worked in the year must seriously affect our results. 1 
 
 Estimating the frequency distribution of wages earned in a year for an 
 industry from the frequency distribution of wages earned in another year 
 in the same industry, if we had such data, would involve us in a similar 
 difficulty. Even though we knew the total number of individuals gainfully 
 employed and their total wage bill each year and also the frequency dis- 
 tribution of earnings for one of the years, estimating the frequency dis- 
 tribution for the other year would be hazardous. While some rates dis- 
 tributions for the same industry in the same locality show symptoms of 
 not changing in shape very radically from year to year, 2 this does not seem 
 
 the-week (month or year) in different industries. Illustrations of lack of uniformity in the 
 relation between rates and earnings of the same persons for the same period but in different 
 industries were worked up from Professor Davis R. Dewey's Special Report on Employees 
 and Wages for the 12th Census. 
 
 1 We have no distributions of amounts earned in a week and in a year for the same industry, 
 with which to illustrate this point directly. 
 
 2 For example, the distribution curve for wages per week among Massachusetts factory 
 workers shows a moderate degree of similarity of shape from year to year. 
 
 Professor H. L. Moore (Political Science Quarterly, vol. XXII, pp. 61-73) discussed the 
 fluctuation from 1890 to 1900 in the variability of wage rates in a total made up of thirty
 
 WAGE DISTRIBUTIONS 
 
 421 
 
 a sufficient reason for assuming the same of earnings distributions. The 
 shape of the distribution representing hours or days worked in the year 
 may be expected to change greatly from year to year with alternations of 
 prosperity and depression. 1 
 
 What little evidence we possess suggests that wage distributions 2 for 
 individuals of the same sex in the same industry at the same date, but in 
 different localities, though generally more dissimilar in shape than distri- 
 butions for the same industry in the same place but at different dates, 
 are less unlike one another than distributions for different industries though 
 in the same place and at the same time. The variation in shape of such 
 distributions for different industries is often extreme. 3 
 
 selected manufacturing industries. These distributions (for 1890 and 1000) illustrate both 
 the similarity and the difference in rates distributions between the two years. 
 
 1 For example, what little information we have points to the "scatter" of the days-worked- 
 in-a-year distribution being much greater in a year of depression than in a year of prosperity. 
 
 The extreme variations in shape of the income distributions for the same 1240 individuals 
 in the years 1014 to 1919 as seen in the Statistics of Income, 1919, page 30, are interesting in 
 this connection. 
 
 - Whether earnings or rates. 
 
 'Examples of this are numerous. Charts 32D and 32E show the distribution of wanes 
 per week among Massachusetts males working in (a) the boot and shoe industry and (b) the 
 paper and wood pulp industry. For purposes of comparison the two distributions are so 
 placed on the natural scale chart that the frequency curves show the same arithmetic means 
 and areas. The double log chart is based directly upon the natural scale chart. It was 
 necessary to break up the "over $35" interval before calculating the arithmetic means.
 
 122 
 
 PERSONAL DISTRIBUTION OF INCOME IN U. S. 
 
 CHART 32 E 
 FREQUENCY DISTRIBUTION OF RATES OF WAGES PER WEEK 
 FOR MALES IN THE BOOT AND SHOE INDUSTRY AND FOR MALES 
 IN THE PAPER AND WOOD PULP INDUSTRY IN MASSACHUSETTS 
 
 IN isie. 
 
 Source.. Massachusetts Strvst/cs or Mmufactoke-s J9J8. 
 
 Sc/1i.ES J-OGff/?/THM/C 
 
 In conclusion, the order of importance of the variables as affecting the 
 shape of the distribution curve seems to be — industry, place, time. 
 
 We have but little basis for estimating total income from earnings. In 
 the preceding chapter on Income Distributions from other Sources than 
 Income Tax Returns attention was drawn to the difficulty of arriving at 
 any reliable statement of relationship between earnings and income from 
 such distributions because of the way in which the data were selected. It 
 is even less possible to discover the nature of any such relationship from the 
 income-tax material. Though there is no such apparent " selection" in 
 the income-tax data as hi the case of non-tax income distributions, the 
 material is not arranged to answer our particular question. 
 
 The non-statistical reader examining Charts 30D, 30E and 30F, on which 
 are plotted average total income and average income from wages in each 
 income interval, might think that it would be quite simple to estimate the 
 probable average total income of persons having any specified wage. How- 
 even- there is a profound statistical fallacy involved in the use of this ma- 
 terial for any such purpose. As given in the official tables, income is the 
 independent variable, wages the dependent. This condition cannot be 
 reversed without retabulation of the original returns. The statistical 
 student recognizes the problem as one involving the impossibility of de- 
 riving one regression line from the other when neither the nature of the
 
 WAGE DISTRIBUTIONS 423 
 
 equation representing the regression line 1 nor the degree of relationship 
 (correlation in the broad, non-linear sense) is known. Even if we knew 
 that the average net income of those persons reporting in 1918 in the 85,000 
 to $6,000 net income class was $5,474 and the average wage obtained by 
 these persons was $2,192, we would be quite unwarranted in concluding 
 that the average income of persons n reiving $2,192 per annum wages was 
 $5,474. If no wage earner received income from any oilier source than 
 wages we still would have a condition where the average income in the 
 income class would be greater than the average wage. Total wages would 
 be necessarily less than total income, because in the income class are in- 
 cluded not only wage earners but capitalists and entrepreneurs. But both 
 total wages and total income are divided by the same number to get an 
 average — namely total number of persons in that income class. 
 
 This suggests a technical criticism of the material contained in the 
 Statistics of Income. All data concerning the relation between two vari- 
 ables are always there published in such a manner as to give information 
 concerning only one of the regression lines and no information whatever 
 concerning the "scatter." If such data were published in the form of " cor- 
 relation tables" the increase in usefulness for statistical analysis would 
 be very great. Such "correlation tables" keep closer to the original data 
 than the usual type of statistical tables. Freer use of them is much to be 
 desired, particularly in cases where it is difficult to anticipate all the prob- 
 lems for whose solutions investigators will go to the tabulated materials. 
 
 1 The difficulty of the problem is, if possible, increased in this particular case because of 
 the fact that the regression is radically nun-linear.
 
 CHAPTER 33 
 
 THE CONSTRUCTION OF A FREQUENCY CURVE FOR ALL 
 
 INCOME RECIPIENTS 
 
 The direct and only adequate method of discovering what is the fre- 
 quency distribution of income in the United States would be to define 
 very carefully the terms income and income recipient and then have a care- 
 fully planned census taken by expert enumerators upon the basis of these 
 definitions. The returns brought in by the enumerators should moreover 
 be sworn to by the persons making them and heavy penalties attached to 
 the making of false or inaccurate returns. A less satisfactory method but 
 one which would probably give excellent results would be to have a large 
 number of truly random samples taken by such a census. The results of 
 either procedure could then be adjusted in the light of other statistical 
 information concerning the National Income and also in the light of theo- 
 retical conclusions derived from the data themselves. 
 
 Constructing an income frequency distribution for all income recipients 
 in the United States from the existing data, a few of whose peculiarities 
 have been noted in the preceding chapters, necessarily involves an ex- 
 tremely large amount of pure guessing. It is only because of the practical 
 value of even the roughest kind of an estimate that any statistician would 
 think of attacking the problem. The method followed in the actual con- 
 struction of the income frequency distribution has been outlined in vol- 
 ume I. 1 This method contains one assumption after another that is open 
 to question. Moreover we feel in many cases quite unable to estimate 
 the probable errors involved in these assumptions. Their only excuse is 
 their necessity. What is the amount of under-reporting for income tax 
 and how is it distributed? What is the effect upon the returns of "legal 
 evasion?" To what extent is the "bulge" on the income-tax returns in the 
 region under about $5,000 in 1918 the result of the "intensive drive?" 
 What is the relation between wages and total income by wage intervals? 
 What is the relation between wage rates and earnings in any particular 
 industry? Etc., etc. These are all questions which must be answered over 
 and over again and yet they are questions the answers to which must be, 
 in many instances, almost pure guesses. And, to repeat, the margin of 
 possible error is often large. 
 
 In view of the sparsity and inadequacy of the data, our first approach 
 to the problem was an attempt to discover, if possible, some general mathe- 
 matical law for the distribution of income. Were we to get any very defin- 
 
 1 Income in the United States, Vol. I, pp. 122-139. 
 
 424
 
 FREQUENCY CURVE FOR INCOME RECIPIENTS 425 
 
 ite and reliable clues as to the mathematical nature of the frequency dis- 
 tribution of income from small sample income distributions and from wages 
 distributions, etc., such clues might of course be invaluable in checking 
 the results obtained from piecing together existing wage distributions, 
 income distributions, and other scattered information. We would be in 
 the position of the astronomer who is able to "adjust" the results of his 
 observations in the light of some known mathematical law. It soon be- 
 came clear, however, that it is quite impossible to discover any essential 
 peculiarities of the income frequency distribution. The available material 
 is not only insufficient for purposes of such generalizations, but moreover 
 the distribution from year to year is so dissimilar, that any generalization 
 of this nature is too vague to be of any practical value. 
 
 The method finally used for the construction of the income curve has 
 therefore, we are sorry to say, practically all the weaknesses of the data 
 from which it has been constructed. The occupations of the country 
 were tabulated and to each occupation was assigned those wage and income 
 distributions which seemed applicable with the least strain. We had then 
 a series of income and wage distributions which nominally covered nearly 
 all the income recipients in the United States, though for some occupations 
 the inadequacy of the wage and income samples was little short of absurd. 
 The wage distributions were converted into income distributions on the 
 assumption that the smaller the wage the larger is its percentage of total 
 income. Beyond this simple assumption the particular functional relation- 
 ships used for many industries were almost pure guess work. Moreover, 
 not only was there the danger of error in moving from wage distribution 
 to income distribution and the danger of error resulting from estimating 
 a wage distribution for a particular industry in a particular locality from 
 a similar though not identical industry in a different locality, but also there 
 was the danger of error resulting from estimating a wage distribution for 
 one year from a wage distribution for another. 
 
 The final results are probably not quite so bad as they might have been 
 had we not had a number of collateral estimates with which roughly to 
 check up and otherwise adjust the first results of our estimates. For ex- 
 ample, such independent information as Mr. King's estimate of the total 
 income of the country and Mr. Knauth's estimate of the total amount of 
 income from dividends were pieces of information with which the results 
 of the frequency curve calculations were made to agree. 
 
 Some hypothetical reasoning is inevitable in such a statistical study as 
 the present one. The investigator must not lose heart. Sir Thomas 
 Browne in his rolling periods sagely remarks that "what song the Syrens 
 sang, or what name Achilles assumed when he hid himself among women, 
 though puzzling questions, are not beyond all conjecture!''
 

 
 INDEX 
 
 "Actually at work," 178, 272 
 
 differs from "attached to industry," 
 :;:; :;i 
 Actual savings, in corporate surplus, 329 
 Agricultural implements, 52-54 
 Agricultural laborers 
 
 age and sex percentages, 279 
 
 income of, 270 
 
 wages of, 55-59 
 
 winter earnings in other industries, 290 
 Agricultural products, total 
 
 gross value of, 299-301 
 
 net value of, 55 
 Agriculture, 40-64 
 
 relative importance, 02 
 American Contractor, 103 
 American Merchant Marine 
 
 see transportation by water 
 American Telephone and Telegraph Com- 
 pany, 179-190, 335 
 Ammain 
 
 average income per, 233-234, 342 
 
 defined, 233 
 
 number of, 234 
 Animal products 
 
 aggregate value, 49, 60, 303-30! 
 
 variations in value, 48 
 Animals on farms 
 
 see live stock on farms 
 Animals slaughtered, 42 
 
 value of, 302-303 
 Animals sold 
 
 value of, 302-303 
 Army, Navy, and Marines, 212-215, 277 
 
 average annual income over $2,000, 283 
 
 average annual income under $2, 000, 
 284 
 
 number employed in, 2S0 
 "Attached to the industry" 
 
 meaning of term, 34, 17s 
 
 numbers, 39, 272 
 Australian war census of incomes, 348, 
 395-400 
 
 Automobile Chamber of Commerce, Na- 
 tional, 52 
 Automobile repairing 
 
 see hand trades 
 Automobiles on farms, 52-54 
 
 Banking, 202-209 
 
 entrepreneurs normally occupied in, 33 
 
 volume of business, average, 209 
 
 see also deposits, bank 
 Barrett, Alfred M., 150-152 
 Bartlett, D. P., 369 
 Bell Telephone Companies, 179-190 
 Birth rates, 14-16 
 Blacksmithing 
 
 see hand trades 
 Bond Buyer, 261 
 Bondholders 
 
 see security holders 
 Bond interest 
 
 see security holders, share of, interest on 
 investments 
 Bonds, conversion, 265 
 Bonds, Liberty, L2, 219 
 Bonds, Postal Savings, 265 
 Bonds, U. S., 265 
 Book income 
 
 defined, 3 
 
 used in first estimates, 10 
 Bowley, A. b, 349, 376 
 Bresciani, C, 349 
 Bricklayers, L07 
 Building construction, value of 
 
 see construction work, value of 
 Building contracts, ll):; 105 
 Building laborers, 107 
 
 wages of, index of, 107 
 Building materials, prices of, 107-111 
 Building permits, 103 105 
 Building shortage estimated. Ill 1 15 
 Building trades 
 
 see construction industrj 
 Bureau of Farm Economic-, 306, 308 
 
 427
 
 428 
 
 INDEX 
 
 Bureau of Labor Statistics 
 
 data used in price index, 17-24, 43, 113 
 
 index of residence rents, 91 
 
 Union Scale of Wages and Hours of 
 Labor, 147, 198 
 Bureau of Mines, U. S. 
 
 data from, 65-77 
 Business savings 
 
 see savings, business 
 
 Cabinet making 
 
 see hand trades 
 Car days 
 
 Pullman, in relation to employees, 138- 
 139 
 
 street, 155 
 Car miles 
 
 Pullman, 140 
 
 street railway, 155-156 
 Carpenters, 107 
 Census of 
 
 Agriculture, 33, 230 
 
 Central Electric Light and Power Sta- 
 tions, 157 
 
 Electrical Industries, 33 
 
 Electric Railways, 149 
 
 Incomes, 395-400 
 
 Manufactures, 33, 83, 109, 273-274 
 
 Mines and Quarries, 73, 74, 273 
 
 Occupations, 32-33, 210, 271, 273 
 
 Religious Bodies, 275 
 
 Telephones, 59, 180, 183 
 
 Transportation by Water, 196, 198-200 
 
 Wealth, Debt and Taxation, 211-217, 
 219, 230 
 Changes in income tax law 
 
 see income tax law, changes in 
 Chapin, R. C, 292, 379, 415 
 City and village government, 210-217 
 Civil service, 210-217 
 Clerical occupations 
 
 average annual incomes under $2,000, 
 285, 288 
 
 average wages, 277 
 
 number engaged in, 276, 277, 283, 284 
 age and sex percentages, 280 
 Clock repairing 
 
 see hand trades 
 Coal industry 
 
 see mines, quarries and oil wells 
 Commercial failures, 325 
 
 Commissioner of Education, U. S. 
 
 annual reports of, 212 
 Commissions to Express employees, 143- 
 
 144 
 Common carriers 
 
 see Pullman cars, steam railways, street 
 railways, transportation, transporta- 
 tion by water 
 Comptroller of the Currency 
 
 annual reports, data from, 202-209 
 Consols of 1930, U. S., 265 
 Construction costs, index of, 69, 335-336 
 electric light and power, 164 
 manufacturing, 96 
 street railways, 154 
 Construction industry, 103-115 
 
 indices of profits, wages, material 
 prices, 108 
 Construction work, value of in U. S., 
 
 104-106, 109-111, 114-115 
 Consumption goods 
 
 comparison of price indices, 31 
 index of prices of, 
 for well-to-do, 24-30 
 for workers, 17-24 
 interest on value of, 229-232 
 value of, in agriculture, 302-304 
 Contract work in manufacturing, 86, 89 
 Corporate earnings 
 all corporations, 324 
 
 having net incomes, 324 
 compared for decade, 326 
 electric light and power, 159-160 
 manufacturing, 85 
 
 proportion to dividend and surplus, 327 
 railways, 127 
 
 transportation by water, 192-194 
 Corporate savings 
 
 see business savings 
 Corporate securities, total, held by banks, 
 
 203 
 Corporate surplus 
 
 see surplus, corporate, also savings, 
 business 
 Corporations, number of 
 
 reporting no income or deficit, 325 
 reporting taxable income, 326 
 Cost of living 
 
 see cost of consumption goods, also 
 price indices, etc. 
 County governments, 213-216
 
 INDEX 
 
 42'J 
 
 Cow-keeping, 230-232 
 
 Cows on farms, 43-44 
 
 Crops 
 
 fed and not fed to live stock, 50-51 
 value of, 54-55, 60, 301-305 
 
 Curves, fitting 
 
 abuse of power series in, 375 
 to cumulative data dangerous, 363 
 to different functions of the variable, 
 effect of, 347 
 
 Dairy products, 42-44 
 
 Day, Edmund E., 75-77, 300 
 
 Death rates, 14-17 
 
 Debts, public, interest on, 216, 219 
 
 Deficits, corporate, 324 
 
 amount of, 325 
 Deposits, bank, average volume of, 
 209 
 
 compared with population, 207-208 
 
 share of net value product, 206-207 
 Depreciation 
 
 manufacturing, 84-86 
 
 railways, 119 
 Dewey, Davis R., 372, 378, 420 
 Direct goods 
 
 see consumption goods 
 Disbursements 
 
 by Government to employees, 214 
 
 net, how ascertained, 3 
 
 net vs. gross, 3 
 Disbursements, net, to entrepreneurs and 
 other property owners 
 
 construction, 108 
 
 electric light and power, 163 
 
 express, 141-143 
 
 government, 217, 219 
 
 manufacturing, 92-94, 96 
 
 mining, etc., 66-70 
 
 Pullman transportation, 136 
 
 railways, 125, 127 
 
 street railways, 148, 151-152, 155 
 
 telegraphs, 168-169, 171-174 
 
 telephones, 181-183 
 
 transportation, 116 
 
 transportation by water, 195, 196 
 Disbursements, total, to entrepreneurs, 
 
 238-239 
 Discounts, bank, 203 
 Distribution of income 
 
 see frequency distributions 
 
 Dividends 
 
 banking, 202-205 
 
 corporate, 324, 328 
 total, 382 
 
 electric light and power, 164-165 
 
 manufacturing, 95-96 
 
 mining, etc., 67-69 
 
 net vs. gross 
 banking, 202 
 express, 142 
 
 Pullman transportation, 134 
 telegraphs, 170-172 
 
 Pullman transportation, 133-135 
 
 share of, in earnings, 327 
 
 street railways, 151-154 
 
 telegraphs, 168-173 
 
 telephones, 179-182 
 
 total, 328 
 
 transportation by water, 193-194 
 Dodge, F. \\\, Company, 103-105 
 Domestic animals, 42 
 Dressmaking, custom 
 
 see hand trades 
 Drury, H. B., Murine and Dock Labor, 197 
 Dan's Renew, 325 
 Dyeing and Cleaning 
 
 see hand trades 
 
 Earnings 
 
 average annual 
 
 how computed, 33-35 
 of persons receiving under §2,000, 285 
 vs. rates of pay, 271 
 vs. wage rates, 12 
 average "full time," 34-3S 
 of farm laborers, 2S9-290 
 see also employees, share of 
 Earnings, corporate 
 
 see corporate earnings 
 Earnings, gross 
 
 of transportation by water concerns, 
 
 estimated, 193 
 of farms and farm families, 302 
 Earnings, net of 
 
 all corporations, 324, 327, 328 
 
 having net incomes, 32 I 
 farmers, 302 
 
 manufacturing corporations, 93, 96 
 proportion of dividend and surplus. 327 
 Earnings, personal, 269 
 
 and total income, 382-392, 4U6-414
 
 430 
 
 INDEX 
 
 Earnings, personal, (cont.) 
 how estimated, 271-279 
 income from, 270 
 of individuals in a family, 416 
 see wages, frequency distributions, 
 heterogeneity of income data 
 Edgeworth, F. Y., 349, 375 
 Edison Company, The New York, data 
 
 used for price index, 20 
 Efficiency of employees 
 see physical products 
 Eggs and poultry, 45-46 
 Electric light and power companies, 
 
 private, 157-167 
 Electric railways 
 
 see street and electric railways 
 Emery : Arthur T., 379, 415, 417 
 Employed persons, gainfully, in TJ. S. 
 see persons gainfully employed 
 also employees, and occupational dis- 
 tribution 
 Employees, average annual earnings of 
 agriculture, 57-58 
 banking, 206 
 construction, 114 
 electric light and power, 166 
 express companies, 147 
 government, 214-215 
 manufactures, 91 
 mines, etc., 74-76 
 
 Pullman car transportation, 137-138 
 steam railways, 131 
 street and electric railways, 152-153 
 telegraph companies, 169 
 telephone companies, 185-186 
 transportation, 118 
 transportation by water, 196-197, 199- 
 
 200 
 unclassified industries, 224 
 see also employees, share of 
 Employees 
 
 "actually at work" differs from "at- 
 tached to industry," 33-34 
 "attached to industry," meaning of 
 term, 33-34 
 numbers, 38 
 damages paid to, by railways, 125- 
 
 126 
 occupational distribution of, 32-39, 280 
 output per capita, see physical product, 
 125-126 
 
 Employees, number of 
 agriculture, 57 
 banking, 205-206 
 construction, 114 
 electric light and power, 166 
 express companies, 146-147 
 government, 210-212 
 hand trades, 102 
 manufactures, 90-91 
 mines, quarries and oil wells, 73-74 
 percentage by ages, sexes, industries, 
 
 279 
 Pullman cars, 138-139 
 steam railways, 128-131 
 street railways, 153 
 telegraphs, 175, 177 
 telephones, 184-186 
 transportation, 118 
 transportation by water, 196-198 
 unclassified, 224 
 Employees, share of 
 
 agriculture, 55-56, 289-290 
 all industries, 243 
 banking, 205-207 
 construction, 105-109, 113 
 electric light and power, 158, 161, 165- 
 166, 242 
 
 estimated, 161 
 express companies, 144-147 
 Government (all branches), 212-217, 
 
 220 
 hand trades, 100, 102 
 manufactures, 87-90, 98 
 mining, etc., 70-75 
 Pullman cars, 136-138 
 railways, 125, 127, 128, 131 
 street railways, 151, 153-154 
 telegraphs, 169, 175 
 telephones, 183-186 
 transportation, 117 
 transportation by water, 195-200 
 unclassified industries, 223-224, 232 
 Entrepreneurs 
 how defined, 32 
 industrial distribution of, 33 
 Entrepreneurs and other property owners 
 disbursements to 
 
 see disbursements 
 purchasing power of share of, in 
 
 agriculture, 59-61, 63 
 
 banking, 205
 
 INDEX 
 
 431 
 
 Entrepreneurs, etc. (cont.) 
 
 purchasing power of share of, in (cont.) 
 
 construction, 111-112 
 
 electric light and power, 164 
 
 express, 143 
 
 manufacturing, 97 
 
 mining, etc, 70 
 
 Pullman cars, 135 
 
 railways, 132 
 
 street railways, 153-154 
 
 telegraphs, 174 
 
 telephone-, [V2 
 
 transportation, 116 
 
 transportation by water, 194- 
 195 
 
 unclassified industries, 227 
 Entrepreneurs share in the net value 
 
 product of 
 agriculture, 59 
 all industries, 240-211 
 banking, 204 205 
 construction, 107-112 
 electric light and power, 165 
 express, 142-143 
 manufacturing, 91 98 
 mining, etc., 65-70 
 
 saved as surplus, 68 
 Pullman transportation, 134 
 railways, 123, 127 
 street railways, 150-151 
 
 saved as surplus, 152 
 telegraphs, 17:; 171 
 telephones, 179 ISO 
 transportation, 116 
 transportation by water, 193-195 
 unclassified indust ties, 227) 22X 
 Errors in computations, minor, 7 
 Errors of estimates, 7-10, 2:50, 251, 255, 
 
 273 
 probable error, '.'>'■'>() .;.;_' 
 
 Estimates of income 
 from industrial products, I 
 
 how made, 3 
 
 made from corporation reports, 4 
 
 plan of presenting, 10 
 Excess profits tax, 320 
 Excise taxes, corporate, 324 
 Expenses of farmers 
 
 relative increase, 307 
 
 total, 302 303 
 Express companies, 111 117 
 
 Factory production 
 
 see manufacturing industry 
 Failures, commercial, 325 
 "Failure to report" incomes, 254-260 
 Farm emploj 
 
 see agricultural laborers 
 Farm labori 
 
 see agricultural laborers 
 Farmers 
 
 distributed by income, 308-309 
 
 expenditures of, 302-307 
 
 families, :>,:>,! 
 
 not "gainfully employed," 32, 289 
 
 income of, 2'.)N :;i:; 
 percentages, 333-335 
 receiving over $2,000, 253, 313 
 receiving under $2,000, 270, 313 
 total, 307, 311-312 
 
 income tax, 299 
 
 "labor income" of, 308-310 
 
 number of, income over 82,000, 253 
 
 return- to, 02-64 
 
 tenant, 305 
 Farm property 
 
 rental value of, 309 310 
 
 value of, ol 7.7,, 2'. 18-299 
 Farm loans, federal 
 
 interesl on, 261 
 
 outstanding, total, 264 265 
 Farm products 
 
 set agricultural products 
 Farms, number of, 300 
 Federal Bureaus 
 
 set bureaus 
 Federal Government, 210 222 
 
 federal Reserve Hoard 
 
 study of employees' income apportion- 
 ment, 25 
 federal securities held by banks, 218 
 
 Pert ilizer, 7)2, 54 
 Finance 
 
 proportion of dividends and surplus, .127 
 Financial Statistics of Cities, 21-"., 217), 217, 
 
 219, 291 
 Financial Statistics of States, 211. 212. 219, 
 
 291 
 hue depart nuiit 
 
 see police ami fire departments 
 Flux, A. W., 348 
 Food and kindred products, 80 82 
 
 see also agriculture
 
 432 
 
 INDEX 
 
 Freight carried by railways, 128-130 
 Frequency curves 
 describing distribution of income by, 343 
 normal curve of error 
 
 fitted to heights of men, 347 
 not applicable to income distribu- 
 tions, 346-348 
 rejected by Pareto, 346 
 Pearson's system of, 348, 375 
 y = bx m , 368-369, see Pareto's Law 
 see hyperbola 
 Frequency distributions 
 of heights of men, 347 
 of income, 339-425 
 among families, 341 
 among individuals, 341, 416 
 among wage-earners, tail-slope of, 
 
 379-380 
 by sources, 385-392 
 equations of straight lines fitted to, 
 
 367 
 factorial, 341 
 
 heterogeneity of data, 376-393 
 in U. S., 350-362, 365-368, 382-392, 
 400, 404^14, 424^25 
 tax returns 1914, 351, 357; 1915, 
 352, 358; 1916, 353, 359; 1917, 
 354, 360; 1918, 355, 361; 1919, 
 356, 362; 1915 and 1918 com- 
 pared, 365-367; $5,000-line, 403- 
 404 
 in Oldenburg, 363-364 
 mathematically describing, 343 
 meaning of similarity in, 375 
 not describable by normal curve, 
 
 346-348 
 per ammain, 341 
 of wages, 369-374, 378, 416-423 
 and incomes, 380-392, 405-414 
 peculiarities of, 418-423 
 per hour, 370-374 
 rates and earnings in same industry, 
 
 419 
 rates in different industries, 421-422 
 similar tail-slopes of dissimilar, 371- 
 
 374 
 tail-slopes of various, 378 
 tail-slope not an index of scatter, 373 
 see hyperbola, Pareto's Law 
 Friday, David, 316, 321, 326, 328 
 Funk, W. C, 301 
 
 Gainfully employed persons in U. S. 
 
 age and sex of, 279 
 
 see also persons gainfully employed, 
 employees, and occupational dis- 
 tribution 
 Gardens, 50-51 
 Gini, C., 349 
 Goldenweiser, E. A., 300, 302, 303, 
 
 304 
 Government in U. S. 
 
 data concerning all branches of, 210-222 
 
 income from 
 
 principles determining, 4-5 
 
 number of employees of, 212 
 Government service to business 
 
 impossible to measure, 5 
 Government services, 
 
 direct; indirect, 5 
 Grist mills, custom 
 
 see hand trades 
 Gross earnings 
 
 see earnings, gross 
 Gross income 
 
 see earnings, gross 
 
 also income, gross 
 Gross value of products in 
 
 agriculture, 299-301 
 
 manufacturing, 78-84 
 Gross wealth 
 
 see wealth, gross 
 
 Hand trades, 99-102 
 Harness and saddles, 52-54 
 Hart, Hornell N. 
 
 Fluctuation in Unemployment in Cities 
 of the United States, 36 
 Heterogeneity of income data, 376-393 
 
 see frequency distributions 
 Hod carriers, 107 
 Homes owned, 291, 294 
 
 income from 270 
 
 rental value of, 228-229 
 
 tax exempt, 261, 267-268 
 Honey, value of, 49 
 Horses, value of, 48, 53 
 House rents 
 
 index of, 294 
 
 value of, 302 
 Housewives 
 
 value of services excluded, 249 
 Hoyt, Homer, 104
 
 INDEX 
 
 433 
 
 Hyperbola 
 
 fitted to earnings per hour, 370-371 
 logarithmic frequency curves describ- 
 ableby, 3G9 
 
 Immigration 
 
 annual statistics of, 14-16 
 Income 
 
 amount subject to taxation, 259-260 
 
 book, 3 
 
 defined, 3, 341 
 
 failure to report, 254-260 
 
 from Government, how computed, 5-6 
 
 how estimated, 3, 250-252 
 
 interest on loans not deducted, 12 
 
 miscellaneous, 223-232 
 
 monetary vs. non-monetary, 341 
 
 non-monetary, 298 
 
 per ammain, 233-234, 342 
 
 psychic, defined, 3 
 
 reported for tax, 253 
 
 spurious, due to changing prices, 249- 
 250 
 
 total bank vs. bank loans, 209 
 
 understatement of, 254-260 
 Income average 
 
 annual, per capita, 337 
 
 from wages and salaries, 408-414 
 
 per ammain, 233-23 1 
 
 persons receiving over $2,000, 258 
 
 persons receiving under $2,000, 285-288 
 Income, corporate 
 
 total reported, 324 
 Income, farmers, 298-313 
 
 based on average ratio of expenses to 
 total product, 305-308 
 
 based on sample incomes, 308-310 
 
 based on total production and ex- 
 penses, 300-305 
 
 final estimates, 310-313 
 
 over $2,000, 313 
 
 percentage of total average incomes, 381 
 
 total, 382 
 
 under $2,000, 313 
 Income, gross 
 
 electric light and power, 158 
 
 express companies, 143 
 
 farmers, 303, 307, 311-323 
 
 manufacturing, 85 
 
 of persons receiving over $2,000, 253, 
 
 Income, gross (cont.) 
 
 of persons receiving under $2,000, 270 
 related to personal earnings, 295-296, 
 
 382 
 street railways, 149-150 
 transportation by water, 192-193 
 Income, National 
 
 distribution of expenditures, 336 
 percentage of, received by persons 
 
 comprising the highest five per cent, 
 333-:;:; 1 
 
 farmers, 333, 335 
 
 receiving over 82,000, 332-333 
 
 receiving under $2,000, 332-333 
 
 purchasing power of, 333, 335, 337 
 
 range of, 330, 332 
 
 total, 331 
 Income, net 
 
 all corporations, 324 
 
 all farmers, 303, 307 
 
 industrial, 4 
 
 personal by sources, 3S2-392 
 
 salaries vs. business, 257 
 
 surplus included in percentage going for 
 
 shelter, 292 
 Income, personal 
 defined, 341-343 
 from pensions, 270 
 negative, 347-348 
 returns by sources, 3S2-392 
 Income, personal distribution of, 339-425 
 see frequency distributions, heteroge- 
 neity of income data, Pareto's Law 
 Income, personal, over 82,000, 25:; 26S 
 
 331 
 average, 258 
 from business, 257 
 from salaries, 257 
 price index for, 330 
 total, 331 
 Income, personal, under $2,000, 269- 
 
 297 
 from investments, 201 297 
 occupations and industries, 271-286 
 personal earnings, 269-290 
 
 related to total income, 295 
 price index for, 336 
 total, 270-331 
 Income receivers, classes of, 25:; 
 defined, 342 
 frequency curve for, 424-125
 
 434 
 
 INDEX 
 
 Income tax 
 corporate, 324 
 data used to estimate income, 253-257, 
 
 295 
 law, administration of, 254 
 
 changes in, affecting comparison, 
 254-320 
 Income, tax exempt from, 260-268 
 Federal farm loans, 261, 264-265 
 Government bonds, 261, 265 
 Liberty bonds, 261, 263-264 
 obligations of possessions of U. S., 261 
 rental of owned houses, 261, 267-268 
 state and local debts, 261-262 
 through nature of occupation, 261, 266- 
 267 
 Income tax returns 
 
 accuracy of reporting, 402-414, 424-425 
 and frequency distribution, 351-362, 
 365-368 " 
 comparison for years 1915 and 1918, 
 365-369 
 farmers, 299 
 
 for different classes, 383-392 
 importance in estimating income dis- 
 tribution, 401-414 
 number of, 385 
 
 on uniform exemption limit, 256 
 technique of, 401-403 
 Index of gross output in manufacturing, 
 
 80-83 
 Index of prices 
 
 business savings, 11 
 construction, 334, 336 
 consumption goods 
 
 used by well-to-do, 24-31, 333, 334,336 
 used by workers, 17-24, 31, 333, 334, 
 336 
 farm products on farm, 307 
 farm products at market, 307 
 house rents, 294 
 placed on 1913 basis, 11 
 war expenditures, 334, 336 
 Index of wages, 279 
 
 Industrial Conference Board, National, 
 293 
 indices of prices, 20-23 
 Industrial distribution 
 
 of gainfully employed persons, 31-39 
 of persons receiving under $2,000, 271- 
 286 
 
 Influenza 
 
 effect on population, 16-17 
 Information 
 
 additional, available, 10 
 Ingalls, W. R., 68, 310, 321 
 Insurance, cost to farmers, 53-54 
 Inter-business payments, elimination of, 4 
 Interest 
 
 fraction of total income received from, 
 
 386-392 
 on investments in 
 
 agriculture, 52-54, 302 
 electric light and power, 162-164 
 express companies, 141-142 
 manufactures, 85, 93, 96-97 
 mining, etc., 66-67 
 railways, 123 
 
 street railways, 150, 151-154 
 telegraphs, 170-172 
 telephones, 1S0-182 
 transportation by water, 193-195 
 unclassified industries, 229-231 
 on local debt, 261-262 
 paid by Government, 216-219 
 payments on consumption loans 
 not deducted from income, 12 
 tax exempt, 261 
 Investments, income from, 270 
 
 of persons receiving less than $2,000, 
 294-297 
 Iron and Steel, 80 
 
 Jewelry 
 
 see hand trades 
 
 Kansas Bureau of Mines, 71 
 
 Kapteyn, J. C., 349 
 
 Kilowatt hours produced by electric light 
 
 and power companies, 167 
 Knibbs, G. H., 395 
 
 "Labor income" of farmers 
 
 average. 
 
 310 
 
 defined, 30S 
 
 estimated, 309 
 Laidler, H. W., 74 
 Laundries 
 
 accuracy of data on, 99 
 
 see also hand trades 
 Leather and its products, 81 
 Liabilities of failures, total, 325
 
 INDEX 
 
 435 
 
 Liberty loans 
 
 see loans, Liberty 
 Lincoln, Professor Edmond E., 158 
 Lipka, J., 369 
 Liquors and beverages, 81 
 Live stock on farms, 47^9 
 
 value of, 302 
 Loans, bank 
 
 average volume of, 209 
 
 compared with population, 207-209 
 
 made to farmers, 53-54 
 
 purchasing power of, 208-209 
 Loans, consumption 
 
 interest payments on, 12 
 Loans, Federal farm 
 
 see farm loans, Federal 
 Loans, Liberty 
 
 effect on Government interest pay- 
 ments, 219 
 
 income computed from, 12 
 
 interest on, 261, 264 
 
 value of, 263 
 Loans of 1925, U. S., 265 
 Loans, Panama Canal, 265 
 Local debt 
 
 interest on, 261, 262 
 Lock repairing 
 
 hand trades 
 Lumber, 80 
 
 Mackay telegraph companies, the, 168- 
 178 
 
 Manufacturing Industry, 78-98 
 approximate total business savings in, 
 
 236-237 
 gross value of output vs. net value 
 
 product, 78-84 
 importance of industry, 78 
 number engaged in, 273-274, 280, 283, 
 284 
 age and sex percentages, 279 
 average annual incomes under $2,000, 
 285, 288 
 proportion of dividend and surplus, 327 
 -"iirces of information, 78- s -! 
 statistics of 
 
 Massachusetts, 36-37, 80-82, 87-88 
 Pennsylvania, 71, 87-88, 106 
 March, Lucien, 349 
 Marines 
 
 sec Army, Navy and Marines 
 
 Massachusetts 
 Statistics of Manufactures, 36-37, SO 82 
 87-88 
 Meat supply of U. S., 42 
 
 Merchant Marine, American 
 
 see transportation by water 
 Metals other than iron, s _' 
 
 see also mines, quarries, and oil wells 
 Michigan Department of Labor, 71 
 
 Milk supply, 13-44 
 
 Millinery 
 
 see hand trades 
 Mines, quarries, and oil wells, 65-77 
 Mining 
 
 entrepreneurs normally occupied in, 33 
 number engaged in, 273, 280, 283, 284 
 age and sex percentages, 27 ( .» 
 average annual incomes under $2,000, 
 285, 288 
 sources of information, 65 
 Moore, Henry L., 349, 420 
 Morman, James B., 305 
 Mortgages on farms, 305 
 Municipal utilities, 211-218 
 
 National income 
 
 .sec income, ual ional 
 Navy 
 
 see Army, Navy and Marines 
 Need unit of income, 342 
 Net earnings 
 
 see earnings, net 
 Net value product 
 
 see value product, net 
 New York Journal of Commerce, 327 
 X. V. State < 'ivil Service < Jommission, 212 
 Non-monetary income, 298 
 
 ( >cean cables 
 
 see telegraphs 
 ( Occupational distribution of 
 
 employees, 32-39 
 
 entrepreneurs, 33 
 
 persons receiving under 82,000, J7I 286 
 Oil wells 
 
 see mines, quarries and oil wells 
 Output 
 
 see physical product 
 
 Painters, 107 
 
 Panama Canal loan-, I S , 
 see loans, Panama Canal
 
 436 
 
 INDEX 
 
 Paper and printing, 81 
 Pareto, Vilfredo, 344 
 non-mathematical conception of chance, 
 
 348 
 rejects negative incomes, 346 
 rejects normal curve, 346 
 Pareto's Law, 344-394 
 any general income "law" questionable, 
 
 374-392 
 conclusions concerning, 393-394 
 described, 344-345 
 impossibility of extrapolating, 345 
 lower income ranges and, 368-374 
 modern substitute for Wages Fund 
 
 Doctrine, 345 
 non-rectilinear forms of, 348 
 straight line hypothesis, 349-363 
 uniformity of slope thesis, 363-368 
 zero mode with infinite ordinate, 345 
 see frequency distributions, heteroge- 
 neity of income data, hyperbola, 
 income, personal distribution of 
 Passenger traffic on railways, 128-130 
 Paving materials, 82 
 Pearson, Karl, 348, 349, 369 
 Pennsylvania Department of Internal 
 Affairs, 71,106 
 statistics of manufactures, 87, 88 
 Pensions, amount of 
 express companies, 144 
 Government, 216-217, 220, 291 
 manufactures, 90 
 
 persons with incomes under $2,000, 291 
 railways, 126 
 telephones, 184 
 Pensions, income from, 270 
 Personal service 
 
 average annual incomes under ,$2,000, 
 285 
 total earnings under $2,000, 288 
 average wages of, 279 
 number engaged in, 276, 280, 283, 284 
 age and sex percentages, 279 
 Persons gainfully employed in U. S. 
 families of farmers excluded, 32 
 industrial distribution of, 32-39 
 numbers of, how computed, 32 
 see also employees 
 Persons, number of 
 having incomes 
 over $3,000, 258 
 
 Persons, number of (cont.) 
 
 having incomes (cont.) 
 over $2,000, 253, 260, 331 
 by occupations, 283 
 under $2,000, 270, 331 
 
 reporting incomes, 256 
 Persons, percentage of 
 
 having incomes over $2,000, 332-333 
 
 having incomes under $2,000, 332-333 
 Persons, Warren M., 350 
 Per capita 
 
 see population of U. S. 
 Physical products 
 
 agriculture, output per person, 56-61 
 indices of, 301 
 
 banking, loans per person, 207-209 
 
 construction per capita of population 
 115 
 
 electric light and power kilowatt houra^ 
 167 
 
 Government, share of, 53, 222-223 
 
 measured in money, 317-320 
 
 mines, quarries, oil wells, per employee, 
 75-77 
 
 Pullman car-days, 139-140 
 
 railways, passenger miles, 128-130 
 
 relation to corporate surplus, 316-320 
 
 street railways, revenue car miles, 155- 
 156 
 
 telephones, average, per employee, 186- 
 188 
 
 tonnage of American Merchant Marine, 
 198," 201 
 
 transportation by water tonnage, 196 
 Plasterers, 107 
 Plumbers and gasfitters, 107 
 Police and fire departments, 211-218 
 Population, U. S. 
 
 average per capita income, 337 
 
 distributed by residence, 229 
 
 effect of influenza on, 16-17 
 
 method of estimating, 14-16 
 Population, U. S. ompared with 
 
 agricultural ouput, 61 
 
 banking facilities, 208-209 
 
 construction, 115 
 
 electric power service, growth of, 167 
 
 mineral output, 75-77 
 
 Pullman service, growth of, 139-140 
 
 railway service, growth of, 130-131 
 
 street railways, growth of, 156 

 
 INDEX 
 
 437 
 
 Population, U. S., compared with (cont.) 
 telephone service, growth of, 189-190 
 tonnage of American Merchant Marine, 
 201 
 Postal service, U. S., 211-218 
 Poultry 
 and eggs, 45-46 
 raisin-. 230 231 
 Power companies, private 
 see electric light and power companies, 
 private 
 Price indices 
 for business savings, 12 
 of consumption goods 
 
 used by well-to-do, 21-31 
 used by workers, 17-24 
 placed on 1913 basis, 11 
 see also index of prii 
 Price variations, how eliminated, 10-12 
 Printing, paper and, SI 
 Produce 
 
 see agricultural products 
 Professional services 
 number engaged in, 275, 280, 283-284 
 age and sex percentages, 27',) 
 average annual incomes under $2,000, 
 285, 288 
 Profits 
 see dividends 
 
 also entrepreneurs, share of 
 Profits, undivided 
 see surplus 
 
 also savings, business 
 Property owners 
 
 see entrepreneurs and properly owners 
 Psychic income, defined, 3 
 Public servii 
 number engaged in, 27."., 280, 2s:j-284 
 age and sex percentages, 279 
 average annual incomes under $2,000, 
 285, 288 
 Public utilities 
 
 proportion of dividends and surplus, 
 327 
 Pullman car transportation, 133-1 10 
 Pullman porters, tips paid to, 135-136 
 Purchasing power 
 comparison of price indices 
 for different classes, 31 
 for workers, 22-23 
 how computed, 10-12 
 
 Purchasing power (cont.) 
 index number for 
 
 well-to-do, 2s 29 
 
 workers, 17-21 
 interest on savings deposit 
 net value product of 
 
 all industries, 245 
 
 Government, 221 -222 
 
 of hank loan- and deposits, 208 209 
 
 of income, :;:;;;, :;;;.",. ;;.;7 
 Purchasing power of business savings 
 
 banking, 205 
 
 by industries, 237 
 
 electric light and power, ltll 
 
 manufacturing, 07 
 
 mining etc., 69 
 
 Pullman transportation, L35 
 
 railways, 132 
 
 street railways, 153-154 
 
 telegraphs, 173-174 
 
 telephones, 1\2 
 
 transportation by water, 195 
 Purchasing power of employees' share 
 
 agriculture, 58 
 
 banking, 206 
 
 construction, 1 1 I 
 
 electric light and power, L66 
 
 express, 144 
 
 Government service, 215, 220 
 
 hand trades, 102 
 
 manufacturing, 91 
 
 mining, etc., 70 
 
 Pullman transportation, 137-138 
 
 railways, 131 
 
 street railway s, L53 
 
 telegraphs, L78 
 
 telephones, L86 
 
 transpoit.ii ion, 1 18 
 
 transportation by water, 200 
 
 unclassified industries, 224 
 Purchasing power of property's share 
 
 agriculture, 59 
 
 banking, 205 206 
 by industries, 239, 241 
 
 construction, 1 12 
 
 electric light and power, 164 
 
 express, 1 13 
 
 government, 220 
 
 manufacturing, 97 
 
 mining, etc., 70 
 
 national income, 337
 
 438 
 
 INDEX 
 
 Purchasing power, etc. (cont.) 
 Pullman transportation, 135 
 railways, 132 
 street railways, 153-154 
 telegraphs, 174 
 telephones, 183 
 transportation, 116 
 transportation by water, 195 
 unclassified industries, 227 
 
 Quarries 
 
 see mines, quarries, and oil wells 
 
 Railways, steam, and switching and ter- 
 minal companies, 119-132 
 
 additions to physical property of, 122 
 lied Cross, contributions by banks, 202, 
 
 207 
 Rediscounts, bank, 203 
 Relief for employees 
 
 see pensions 
 Rent, 292-293 
 
 fraction of total income received from, 
 386-392 
 Rental value of farms, 309-310 
 Rental value of owned homes, 228, 229, 
 291-294 
 
 tax exempt, 261, 267-268 
 Rents, contract, in U. S., 225-227 
 Rents, index number for, 294 
 Rents and royalties from 
 
 express companies, 141-142 
 
 manufacturing, 85, 86, 91, 92, 97 
 
 mines, etc., 66, 70, 75 
 
 street railways, 150-152, 154 
 
 telegraphs, 169, 172, 173 
 
 telephones, 180-182 
 
 unclassified industries, 225-229, 231-232 
 Reserves, corporate, 314-316, 320, 321 
 
 see also surplus, corporate 
 Rorty, M. C, 28, 112, 182, 206, 228, 272 
 Royalties 
 
 see rents and royalties 
 
 Salaries 
 
 see employees, share of, also wages and 
 salaries 
 Salaries, government, state, city and 
 
 county officials, 266-267 
 Savings, actual in corporate surplus, 
 329 
 
 Savings, business 
 
 all industries, 246 
 
 by industries, 234-237 
 
 included in income, 3 
 
 index of values for 
 banking, 204 
 
 electric light and power, 103-165 
 express, 143 
 manufacturing, 95-93 
 mining, etc., 69 
 
 Pullman transportation, 134-135 
 
 railways, 122-124, 127, 132 
 
 street railways, 150-152, 154 
 
 telegraphs, 173, 174, 176, 179 
 
 telephones, 180-182 
 
 transportation by water, 194, 195 
 
 transportation, 115 
 Savorgnan, F., 349 
 Saw mills, custom 
 
 see hand trades 
 School districts, 211-218 
 Scoville, G. P., 305-306 
 Sears, Roebuck & Co. 
 
 data used in price index, 18-19 
 Securities, corporate, total 
 
 held by banks, 203 
 Security holders, share of 
 
 banks, 203-204, 206-207 
 
 electric light and power company, 163- 
 164 
 
 express companies, 141-142 
 
 Government securities, 218-219 
 
 manufacturing, 90-97 
 
 Pullman transportation, 134-137 
 
 railways, 123, 127, 132 
 
 street railways, 148-149 
 
 telegraph companies, 170 
 
 what it includes, 4 
 Security holders, disbursements to 
 
 from telegraph companies, 168 
 
 see also entrepreneurs and other prop- 
 erty owners 
 Seed used by farmers, 50-51 
 Sewing machine repairing 
 
 see hand trades 
 Shelter 
 
 per cent of income paid for, 292-2'J'J 
 Shipbuilding 
 
 excluded from construction, 103 
 Shoe repairing 
 
 see hand trades
 
 INDEX 
 
 439 
 
 Silver, Gray, 337 
 Similarity of distribution 
 
 what constitutes, 375 
 Sinking funds, railway, 122 
 Slichter, C. S., 369 
 Slope of logarithmic income curves, 371- 
 
 392 
 South Carolina 
 
 statistics of manufactures, 87, 88 
 Spillman, YV. J., 301 
 Standardization of purchasing power 
 
 how obtained, 10 
 
 in terms of 1913 prices, 10 
 accuracy checked, 10 
 State and county government, 210-21.") 
 Steam fitters, 107 
 Steam railways 
 
 see railways 
 Steel, iron and, 88 
 Sterrett, J. E., 255, 276, 315, 321 
 Stewart, W. W., 300 
 Stock dividends, 320 
 Stockholders 
 
 average income of, 26 
 
 see also security holders, entrepreneurs 
 Stone cutters, 107 
 Stone masons, 107 
 
 Street and electric railways, 148-156 
 Structural iron workers, 107 
 Summary of Part I, 233-246 
 Summary of Part II, :«0-339 
 Surplus, banking, 202-204 
 Surplus, corporate, 314-329 
 
 banking, 202-204 
 
 definition of, 314 
 
 general accuracy substantiated, 6, 84-86 
 
 genuineness of, 315-320 
 
 included in net income, 3, 314 
 
 proportion of, in earnings, 327 
 
 reports by corporations accepted, li 
 
 total estimated, 324, 328, 329, 331, 
 
 382 
 see also savings, business 
 Switching companies, 119 
 
 see also railways 
 Sydenstricker, E., 342 
 
 Tailoring, custom 
 
 see hand trades 
 Tax-exempt income 
 
 see income, tax exempt 
 
 Taxes 
 
 relation to national income, •"> 
 
 charged against industry, 5, 6 
 
 see also income tax, etc. 
 Taxidermy 
 
 see hand trades 
 Tax, income 
 
 see income tax 
 Teachers, income of, 296 
 
 Telegraphs, 168 i7s 
 
 Telephone-, 17!) I '.Ml 
 
 messages and message miles, 190 
 revenue: business vs. residence, 189 
 Terminal companies, 1 19 
 
 set also railways 
 Textiles, 80 
 
 Tips to Pullman employees, 135-136 
 Tobacco manufactures, 82 
 Tonnage, American merchant marine, 
 
 198, 201 
 Topics covered, 10 
 Trade 
 number engaged in. 274, 275, 280, 283, 
 284 
 
 age and sex percentages, 279 
 average annual income under $2,000, 
 285, 2S8 
 Transportation, 1 16-1 18 
 
 see also steam railways; switching and 
 terminal companies; street and elec- 
 tric railways; private electric lighl 
 and power companies; transportation 
 by wat ei- 
 Transportation by water, 191-201 
 mode of estimating gross earnings, L92 
 L93 
 Typewriter repairing 
 .sec hand trades 
 
 Unclassified industries, 223 232 
 Uncollectible revenues, in 
 
 express companies, ill 1 1"> 
 
 railways, 126 
 
 telephone-. ls;l 
 
 Understatement of income-. 254 260 
 
 increase since armistice, 254 '-'■">•"> 
 Undivided profits 
 
 sec surplus, business -ivm 
 Unemployment, 271 
 
 estimated for I S 36 3 
 
 in Massachusetts factories, 36-38
 
 440 
 
 INDEX 
 
 United States Bureau of Mines 
 
 data from, (55-77 
 United States Bureau of Labor Statis- 
 tics 
 see Bureau of Labor Statistics 
 United States, government of, all branches 
 of, 
 data concerning, 210-222 
 U. S. Realty Company, 105-108, 
 
 112 
 Utilities, public 
 see public utilities 
 
 Value product, net (cont.) 
 
 entrepreneurs and property, share of, 
 see entrepreneurs, share of 
 
 security holders share in 
 see security holders 
 Value product, total 
 
 see value product, gross 
 Vegetables, 50-51 
 Victory loans, 264 
 
 see loans, liberty 
 Village government 
 
 sec city and village government 
 
 Value added by manufacture, 82 
 Value, gross 
 
 see gross value 
 Value product, gross 
 
 in agriculture, 303, 306-307 
 in construction, 109-112 
 in manufactures, 83 
 Value product, net 
 
 agriculture, 40, 54-55, 59, 62, 303 
 
 all industries, 244, 245 
 
 banking, 202, 206-207 
 
 construction, 113 
 
 electric light and power, 158-159, 164, 
 
 165 
 express, 144-145 
 government (all branches) 
 
 components of, 210 
 
 distribution of, 217-219 
 
 per capita, 220-221 
 
 purchasing power of, 221 
 
 share, in national, 221-222 
 street railways, 154 
 telegraphs, 173-176 
 telephones, 180-184 
 transportation, 116-117 
 transportation by water, 194, 199 
 unclassified industries, 231-232 
 Value product, net 
 employees' share in 
 
 see employees' share of 
 
 Wage rates 
 
 vs. average annual earnings, 12, 34-38 
 
 see frequency distributions 
 Wage distributions, 418-423 
 Wages and salaries 
 
 in all industries, 242 
 
 relation to total income, 37(5, 392, 400- 
 414 
 see employees, share, also employees, 
 average annual earnings 
 Wages, index of, 279 
 Wallace, H. A., 312 
 War, affecting labor supply in unclassified 
 
 industries, 224 
 War expenditures 
 
 price index of, 336 
 War Industries Board, 304, 325 
 Warren, G. F., 307 
 Watch repairing 
 
 see hand trades 
 Wealth, gross 
 
 agriculture, 300 
 Western Union Telegraph Company, 168- 
 
 178 
 West Virginia Bureau of Mines, 71 
 Wireless telegraphs 
 
 see telegraphs 
 Wiremen, inside, 107 
 Wire mileage, telephone, 187-188 
 Wool and mohair, 46-47, 49 
 
 

 
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