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862d SeiioiT3} JOINT COMMITTEE PRINT STUDY PAPER NO. 23 THE STRUCTURE OF UNEMPLOYMENT IN AREAS OF SUBSTANTIAL LABOR SURPLUS BY TH E BUREAU OF LABOR STATISTICS UNITED STATES DEPARTMENT OF LABOR M A T E R IA LS PREPA RED IN C O N N E C T IO N W IT H T H E STUDY OF EMPLOYMENT, GROWTH, AND PRICE LEVELS FO R CO N SID ERATIO N B Y T H E JOINT ECONOMIC COMMITTEE CONGRESS OF THE UNITED STATES JANUARY 30, 1960 Printed for the use of the Joint Eoonomic Committee U N ITE D STATES G O V E R N M E N T P R IN T IN G O F F I C E 60439 W A S H IN G T O N : 1960 For sale by the Superintendent of Documents, U.S. Government Printing Office Washington 25, D .O . • Price 15 cents JOINT ECONOMIC COMMITTEE (Created pursuant to sec. 5(a) of Public Law 304, 79th Cong.) P AUL H . DOUGLAS, Illinois, Chairman W R IG H T P A T M A N , Texas, Vice Chairman SEN ATE HOUSE OF R EPR E SEN TA TIVE S JOHN SPAR K M A N , Alabama J. W IL L IA M F U LB RIG H T, Arkansas JOSEPH C. O’M A H O N E Y , Wyoming JOHN F. K E N N E D Y , Massachusetts PRESCO TT BUSH, Connecticut JOHN M AR SH AL L B U I LER, Maryland JACOB K . JAVITS, New York Stu d y of E m ploym ent, R ICH AR D BO LLIN G , Missouri H A L E BOGGS, Louisiana H E N R Y S. REUSS, Wisconsin F R A N K M . CO FFIN , Maine T H O M AS B. CU R TIS, Missouri C L AR EN C E E. K IL B U R N , New York W IL L IA M B. W ID N A L L , New Jersey G row th, and P r ic e L e v e l s (Pursuant to S. Con. Res. 13,86th Cong., 1st sess.) Otto Eckstein, Technical Director John W. Lehman, Administrative Officer James W. Knowles, Special Economic Counsel This i part of a series ofpapers being prepared for consideration s by the Joint Economic Committee in connection with i s t “Study of Employment, Growth, and Price Levels.” The com mittee and the committee s a f neither approve nor disapprove tf of the findings of the individual authors. m LETTERS OF T R A N S M IT T A L Jan u ary 30, 1960. To Members oj the Joint Economic Committee: Submitted herewith for the consideration of the members of the Joint Economic Committee and others is Study Paper No. 23 “the Structure of Unemployment in Areas of Substantial Labor Surplus.” This is among the number of subjects which the Joint Economic Committee requested individual scholars to examine and report on in connection with the committee’s study of “Employment, Growth, and Price Levels.” The findings are entirely those of the authors, and the committee and the committee staff indicate neither approval nor disapproval by this publication. P a u l H . D o u g la s , Chairman, Joint Economic Committee. U.S. D e p a rtm e n t B u re a u o f Lab or, of L ab o r S t a t is tic s , Washington, D.C., January 24,1960 . Hon. P a u l H. U.S. S e n a t e , D o u g la s , Washington, D.C . D e a r S e n a t o r D o u g l a s : I transmit herewith the report, “The Structure of Unemployment in Areas of Labor Surplus,” which was prepared at your request by the Bureau of Labor Statistics. This supplements the report, “The Extent and Nature of Frictional Unemployment,” also prepared by the Bureau and published by the Joint Economic Committee as Study Paper No. 6. The present report provides data on the personal, occupational, and industrial characteristics of the employed and unemployed in areas of labor surplus (including chronically depressed areas) and other areas. Data presented in this report are, in many cases, the result of special retabulations and have never been available before. This report was compiled in the Bureau’s Division of Manpower and Employment Statistics, Harold Goldstein, Chief, and prepared under the direction of Joseph S. Zeisel. Sincerely yours, E w an C la g u e , Commissioner oj Labor Statistics. VI LETTERS OF TRANSMITTAL Ja n u a r y 24, 1960. Hon. P a u l H. D o u g la s , Chairman, Joint Economic Committee, U.S. Senatey Washington, D.C. D ear Senator D ouglas: Transmitted herewith is one of the series of papers prepared for the study of “ Employment, Growth, and Price Levels” by outside consultants and members of the staff. This paper was prepared by the Bureau of Labor Statistics, U.S. Department of Labor. All papers are presented as prepared by the authors. O t t o E c k s t e in , Technical Director, Study of Employment, Growth, and Price Levels. C O N T E N T S THE STRUCTURE OF UNEMPLOYMENT IN AREAS OF SUBSTANTIAL LABOR SURPLUS Part I__________________________________________________________________ Unemployment____________________________________________________ Personal characteristics of the unemployed-------------------------------Industry and occupation of latest job held by the unemployed___ Duration of unemployment____________________________________ Employment_______________________________________________________ Industry and occupation_______________________________________ Hours of work_________________________________________________ Population and labor force_________________________________________ Appendix to part I ________________________________________________ List of areas included in each class_____________________________ Sampling errors for estimates of characteristics of the labor force from the M LRF sample_____________________________________ Standard error of level of estimates____________________________ Standard errors of percentages_________________________________ Part II_________________________________________________________________ Introduction_______________________________________________________ Age, sex, and marital status________________________________________ Industry and occupation___________________________________________ Exhaustions, duration, and spells of insured unemployment_________ Appendix to part I I ________________________________________________ Sampling errors for estimates of characteristics of the insured un employed from the 0.2 percent sample_______________________ The approximate sampling error in percentage terms------------------ Page 4 6 7 8 11 13 13 14 15 20 20 21 22 22 22 22 24 25 27 34 34 34 C harts Chart 1. Industrial composition of the unemployed, by loan market area grouping: Spring 1959________________________________________________ Chart 2. Long-term and short-term unemployed, by labor market area grouping: Spring 1959________________________________________________ Chart 3. Labor force participation rates for men by age, by labor market area grouping: Spring 1959___________________________________________ Chart 4. Labor force participation rates for women by age, by labor market area grouping: Spring 1959___________________________________________ Chart 5. Occupational distribution of the insured unemployed in distressed and other areas: July 1956 to June 1957______________________________ 10 12 18 19 33 T ables Table 1. Unemployment by age and sex, by labor market area class, spring 1959________________ ______ ___________________________________ Table 2. Unemployment by marital status, color, and sex, labor market area class, spring 1959________________________________________________ Table 3. Unemployment by industry of last job, labor market area class, spring 1959__________________________________________________________ Table 4. Unemployment by occupation group, by labor market area class, spring 1959__________________________________________________________ Table 5. Unemployment, by duration, by labor market area class, spring 1959___________________ _____________________________________________ Table 6. Eemployment by industry group, by labor market area class, spring 1959__________________________________________________________ vn 7 8 9 11 13 13 Vm CONTENTS Table 7. Employment by occupation group, by labor market area class, spring 1959__________________________________________________________ Table 8. Employment in nonfarm industries by hours of work, by labor market area class, spring 1959________________________________________ Table 9. Civilian noninstitutional population by age and sex, by labor market area class, spring 1959________________________________________ Table 10. Labor force status by age and sex, by labor market area class, spring 1959__________________________________________________________ Table 11. Insured unemployment by type of area, by age, sex, and marital status, July 1956 to June 1957________________________________________ Table 12. Insured unemployment by type of area, by industry, July 1956 to June 1957_________________________________________________________ Table 13. Insured unemployment by type of area, by occupation, July 1956 to June 1957____________________________________________________ Table 14. Duration and spells of insured unemployment by type of area, by age, sex, and marital status, July 1956 to June 1957________________ Table 15. Duration and spells of insured unemployment by type of area, by industry, July 1956 to June 1957__________________________________ Table 16. Duration and spells of insured unemployment by type of area, by occupation, July 1956 to June 1957___________________________________ Page 14 15 15 17 25 26 27 28 30 31 STU D Y PAPER N O . 23 THE STRUCTURE OF UNEMPLOYMENT IN AREAS OF SUBSTANTIAL LABOR SURPLUS * The overall level of unemployment is one of the most critical indi cators of the state of the American economy. In recent years, however, there has been growing concern not only with the overall level but also with the anatomy of unemployment. Considerable attention has been given to the reasons for unemployment and the characteristics of the unemployed in periods of generally high levels of economic activity as well as during periods of recession. Although recessions and depressions have been the major cause of high unemployment, it has been generally accepted that some degree of unemployment is unavoidable in a free market economy even in periods of high or “full” employment. The nature and extent of this frictional unemployment, as it has been called, was explored in a previous study in this series by the Bureau of Labor Statistics.1 Fric tional unemployment, which is the direct result of seasonal fluctuations in employment, movement into and out of the labor force and the very high rate of job mobility in the United States, is generally short-term. In addition, however, in prosperity as well as recession, there has been a substantial degree of long-term unemployment associated with secular declines in occupations, industries, and areas, reflecting the development of new products, changing tastes, industrial productivity developments, and so forth—often called structural unemployment. This is a particularly virulent form of unemployment, not only because of the economic, social, and emotional implications for the individual, but also because, by its nature, structural unemployment is frequently concentrated geographically, affecting the jobs and incomes of persons not immediately connected with the distressed industry. Thus, for example, as the decline in demand for coal closed mines in West Virginia and other areas, and the decline of the New England textile industry closed factories in that area, large numbers of workers were laid off. Because these industries were the dominant employers in their areas, those laid off found few alternative job opportunities. Moreover, what few job openings did arise were often at lower paid, less skilled trades. With the resulting decline in income in these areas, service, construction, and other industries often suffered declines. The lack of employment opportunities has resulted in many of the young and more mobile workers leaving these areas while older workers with family responsibilities, long personal associations, and owning homes, have tended to stay on, exhausting their unemployment insur ance eligibility and facing little opportunity for reemployment. *By Joseph S. Zeisel and Robert L. Stein. 1 Study Paper No. 6, “ The Extent and Nature of Frictional Unemployment/’ U.S. Department of Labor, Bureau of Labor Statistics, Nov. 19,1959. 1 5 0 4 3 9 — 60 --------2 2 U NEM PLOYM ENT IN AREAS OF SUBSTANTIAL LABOR SURPLUS Moreover, these factors often create an atmosphere that is not con ducive to investment by new industries. Thus, the effect of a domi nant employer moving out, or an industry declining, often proliferates throughout an area, and is felt by virtually the entire community. Public policy decisions on the necessity for ameliorative action, as well as on the types of action, require as many facts as possible on the extent and the nature of the problem of depressed area unemployment. A recent report by the Department of Labor summarizes a great deal of the relevant information.2 The present study is supplementary to the earlier one on frictional unemployment and deals with one serious aspect of frictional unem ployment—that associated with depressed areas. Like the earlier report, it attempts to enhance our understanding of the unemployment problem by providing information not previously available, in this case for very different kinds of labor market areas. As in the previous study, an attempt has been made to exploit more fully data already collected in the monthly labor force survey. In addition, the present study also uses data from a sample survey of unemployment insurance claimants which was in operation in 1956 and 1957. It must be em phasized, however, that these surveys are being used for purposes not contemplated in their original design. Because the results are subject to a number of limitations, this study must be regarded as experi mental rather than as a definitive work in the field of depressed area unemployment. Part I of the study is based on a special retabulation of data com piled from the sample used for the Monthly Report on the Labor Force (MRLF). The original data were collected in April and May 1959. It was recognized that this would create special problems of interpretation because recovery from the 1957-58 recession was not yet complete last spring, with unemployment still at 5 percent of the civilian labor force. Because of technical difficulties, however, it was not possible to retabulate the MRLF for the full employment period of 1955-57, the period of reference for the previous analyses of frictional unemployment. (In part, this gap was filled by data from the unemployment insurance sample, which did cover the period from July 1, 1956, to June 30, 1957.) The MRLF data for the spring of 1959 (separate data for April and May were averaged, thus reducing sampling variability by about 20 percent) were tabulated by several groupings of major labor market areas as defined and classified by the Bureau of Employment Security. These can be described as follows: Class 1—Areas of continued tight, or balanced, labor supplydemand relationships. Class 2—Areas of tight or balanced labor supply before the recession, characterized by a substantial rise in unemployment during the recession, but recovery thereafter. Class 3—Areas of either chronic labor surplus, or which be came areas of substantial labor surplus during the recent reces sion and had not recovered as of the spring of 1959. These areas were still classed as D, E, or F in May 1959.3 a U.S. Department of Labor, Bureau of Employment Security, “ Chronic Labor Surplus Areas, Experi ence and Outlook/' July 1959. * For a description of the criteria used in area classification, see U.S. Department of Labor, Bureau of Em ployment Security, “ The Labor Market and Employment Security,” December 1959 (p. 5). UNEM PLOYMENT IN AREAS OF SUBSTANTIAL LABOR SURPLUS 3 Included in class 3 were 19 areas that may be designated as chronically depressed areas. These were places classified by BES as D, E, or F throughout 1957, 1958, and the first half of 1959. This subgroup (known as class 3B) had 3 million in its civilian popu lation of working age, 10 percent of the total class 3 population. Detroit was not included in class 3B because, with the relatively small MRLF sample in chronically depressed areas, its characteristics would have dominated the overall pattern. The sample in these areas was not large enough to yield separate statistics, except in the case of a few items such as labor force participation rates. Here again, the unemployment insurance (XJI) data were of considerable help because there was no problem of showing separate figures for chron ically depressed areas as distinguished from other areas of substantial labor surplus. One unique advantage of part I lies in its presentation of kinds of data not elsewhere obtainable, as will be indicated later. The utility of this study could be greatly enhanced by the accumulation of similar data for other periods, especially 1955-57, so that the effects of the recession would not be reflected, and so that additional information could be shown for areas with a chronic labor surplus. Part II of this study is based on tabulations from a sample of unemployment insurance claimants in 1956 and 1957. The time reference is consistent with that used in Study Paper No. 6. More over, this sample was large enough (two-tenths of 1 percent) to permit publication of separate data for chronically depressed areas. Accord ing to the definitions used, 21 major labor market areas and 70 smaller areas were identified as chronically depressed. These data relate to the total number of different persons who had at least one spell of insured unemployment between July 1956 and June 1957. The unemployment experience of the same individuals has been traced over that 12-month period, and statistics have been presented on duration and spells of insured unemployment as well as the extent of exhaustions. The major limitation of these figures is that they are subject to non-economic influences, such as the legal restrictions on eligibility. This problem is especially acute for depressed areas because there may be a large pool of “ chronic exhaustees,” that is, persons who had used up their benefits and never became reemployed long enough to earn new benefit rights. Despite the limitations of both sets of data described above, a number of significant findings have emerged from these studies: 1. Unemployment in chronically depressed areas accounted for at least one-fifth of total unemployment in the full-employment period of 1956-57. Not all the unemployment in chronically depressed areas was “structural,” i.e., the result of long-term changes in the economy. Some of it was clearly the result of short-term frictional situations. If the rate of unemployment in these areas could have been reduced to the national average, the jobless total would have been roughly a quarter of a million lower at that time. 2. The characteristics of the unemployed in chronically depressed and other areas of substantial labor surplus indicated that unem ployment had much more serious welfare implications in those areas than elsewhere. 4 U NEM PLOYM ENT IN AREAS OF SUBSTANTIAL LABOR SURPLUS (а) The rate of long-term unemployment (15 weeks or longer) in chronically depressed and other areas of substantial labor surplus was much higher than that of other areas. The differences were especially sharp in the proportions jobless for one-half year or longer (26 percent of the unemployed in labor-surplus areas, 13 percent in other areas). (б) Unemployment in areas of substantial labor surplus was concentrated to a greater extent among adult men, especially heads of families. This finding was borne out in both parts of the study. (c) Both studies also showed that substantially larger propor tions of the unemployed in chronically depressed and other areas of substantial labor surplus were blue-collar workers (especially semiskilled) previously employed in manufacturing. The plight of such workers is especially difficult because they are often not equipped in terms of skill to fill jobs in occupations where vacancies are most likely to exist (e.g., professional, technical, secretarial, service.) As a result, they may accept relatively unskilled jobs at lower pay. 3. Unemployment in areas of substantial labor surplus not only affects the dominant industries in those areas but also spreads to other components of the economy. Unemployment rates were much higher in hard goods manufacturing industries in areas of substantial labor surplus than in other areas, and they were also significantly higher in construction, transportation, and trade. 4. The extent of labor force participation among several age-sex groups in the population differed sharply as between chronically de pressed areas and other areas but the differences were minor for men in the principal working ages (25-64). The main differences were as follows : (a) There was a lower labor force rate among young men under 25 in chronically depressed areas than in class 1 areas. However, nearly all those not in the labor force were in school, suggesting that part-time jobs were less plentiful in depressed areas and many of these young persons probably just did not look for work. (b) In the chronically depressed areas, the worker rate for men 65 and over was lower than in class 1 areas but the difference was slight. (c) The labor force rates for women showed the opposite pic ture, higher rates for women in chronically depressed areas than in all other areas among young women 20 to 24 and those in the 35 to 64 age group. Although this pattern probably reflected the greater need for supplementary family earners in depressed areas, to some extent it may have been a result of the types of industries located in these areas (e.g., textiles and other nondur able goods plants), which traditionally have employed many women. P a rt I Part I of this study of areas with a substantial labor surplus is based on data compiled from the sample used for the Monthly Report on the Labor Force.4 The MRLF sample was designed to yield * For a brief description of this source, see the explanatory notes in “ Employment and Earnings.” U.S. Department of Labor, Bureau of Labor Statistics, Washington 25, D .C . UNEM PLOYMENT IN AREAS OF SUBSTANTIAL LABOR SURPLUS 5 reliable national estimates, and its use as a source for data by types of areas should be recognized as tentative and exploratory. This retabu lation does not provide statistically significant data for individual areas, but does provide valuable data, never previously available, by broad groups of areas. Moreover, the results are illustrative of the kinds of information potentially available from this source for labor market areas. Before the direct sample survey approach could be used widely for areas below the national level, however, the sample would probably have to be redesigned and appreciably enlarged. Moreover, in chronically depressed areas, the scope of the inquiry itself might have to be expanded in order to reveal the full dimensions of manpower underutilization. Despite these and other limitations, the MRLF data for April and May 1959 were retabulated by several groupings of major labor mar ket areas. The data made available from these special tabulations are valuable for two reasons: 1. There are some types of information available from the labor force surveys that cannot be obtained directly from other sources such as: (a) The personal characteristics of the population, of the labor force, and of the employed and unemployed as well as more detailed subgroupings within the labor force; (6) identification of the occupa tions and industrial attachments of both the employed and the unem ployed (last job held) from the same primary source; (c) distributions by hours of work for the employed and by duration of unemployment for the unemployed. 2. The employment, unemployment, and labor force data for areas are consistent with the national figures in terms of concepts and collec tion methods. Although subject to the usual field survey problems of sampling variability and response error (especially in cases of persons with marginal attachment to the labor force), the data are not subject to the special problems connected with administrative statistics. Because of time and cost limitations, it was possible to tabulate, process, and analyze data only for one specific period, the spring of 1959. Separate data were obtained for April and May and were then averaged in order to increase the reliability of the results. Specific estimated variances are not available for these data per se, but the more general tables of sampling error published for MRLF data are reasonably satisfactory approximations. (See p. 22 of this study.) The basic plan for this pilot study was as follows: 1. The 145 major labor market areas in the continental United States classified by the Bureau of Employment Security were grouped into three categories. The criteria used were: Class 1.—Areas whose classification remained at A, B, or C from January 1957 to May 1959; i.e., areas with a consistently tight or balanced labor supply-demand situation. Class 2.—Areas whose classification fell to D, E, or F after the first quarter of 1957 but returned to C or better by May 1959; i.e., areas with a substantial labor surplus during the recession, but which showed recovery in 1959. Class 3.—Areas whose classification fell to D, E, or F after the first quarter of 1957 and were still D or worse in May 1959; and areas whose classification was D or worse throughout the period 6 UNEM PLOYM ENT IN AREAS OF SUBSTANTIAL LABOR SURPLUS January 1957 to May 1959; i.e., areas of substantial labor surplus and chronically depressed areas.6 2. The MRLF data were tabulated for each labor market area group for the spring of 1959. The 145 major labor-market areas classified by BES account for nearly 60 percent of the civilian noninstitutional population 14 years and over in the continental United States. Of these areas, 115 are in the MRLF sample, including all of the 100 largest areas. The data for the three groupings were tabulated separately, and the results were appropriately weighted to reflect the 30 labor-market areas not in the sample. The main focus of the study is on class 3 areas (areas of substantial labor surplus). About one-third of these areas may be characterized as chronically depressed; the rest as cyclically affected and showing lagging recovery. It is probably too early to tell whether the 1957-58 downturn has added to the list of chronically depressed areas. Class 3 areas may be described as follows: (1) They comprise 57 of the 145 major labor-market areas. (2) The 57 areas included 19 which were chronically depressed.6 (3) The remaining 38 were areas which might be described as having substantial labor surpluses because of the business down turn. Most of these fell as low as D in the first quarter of 1958. Altogether, about half the areas in class 3 were still classified D, E, or F in November 1959. Most of this group had experienced a sub stantial labor surplus for at least 2 years, some of them for 3 years or more. The major substantive findings of the present study are described below. For most purposes, comparisons are drawn between class 3 areas and class 1 areas in order to delineate the significant differences as sharply as possible. The unemployment rate was the same in class 2 as in class 1 areas and in a number of other respects class 2 area characteristics closely resembled those of class 1 areas. UNEMPLOYMENT Class 3 areas accounted for 1.1 million or nearly one-third of total unemployment in the spring of 1959 although they represented only one-fourth of the Nation’s population and labor force. As a group, their rate of unemployment, based on direct surveys of the labor force, was 6.3 percent as compared with 4.9 percent in class 1 and class 2 areas, each of which included a little over 500,000 jobless workers. Significant qualitative differences in the characteristics of the unem ployed were revealed among the groups. Unemployment in class 3 areas showed greater concentration among regular labor force mem bers, a higher proportion of factory operatives and other industrial workers, and a much higher incidence of long-term unemployment. 8 Unfortunately, the scope of the study had to be curtailed from its original design, as it was determined that the sample was not large enough to yield sufficiently reliable estimates separately for chronically de pressed areas. This does not mean that such areas aie not adequately represented in the national sample, but only that separate figures for these areas cannot be obtained. It was necessary, therefore, to combine such areas with areas whose labor surplus had its origins in the 1957-58 recession and to present the final results in terms of three area groupings rather than four. Moreover, as noted earlier, because of time and cost factors, the data had to be confined to 1959 rather than to each of the 3 years 1957, 1958, and 1959 as originally planned. Thus, the final product is much more limited than its original outline, but it provides some useful information not previously available and opens the door to further research in this field. * For a detailed analysis, area by area, see the report “ Chronic Labor Surplus Areas, Experience and Outlook,” op. cit. UNEMPLOYMENT IN AREAS OF SUBSTANTIAL LABOR SURPLUS 7 Personal characteristics oj the unemployed In areas of substantial labor surplus, a larger proportion of the unemployed were men between the ages of 25 and 64 (45 percent in class 3, 36 percent in class 1; see table 1). Men in these age groups also accounted for a slightly larger proportion of the labor force in class 3 than in class 1. More important, however, was the much higher unemployment rates for adult men, especially those in the 25- to 34-year age group. A larger proportion of the unemployed in class 1 areas, on the other hand, were teenagers (25 percent, as compared with 16 percent). Such unemployment is more likely to be of short duration and is less serious in other respects since teenagers seldom have dependents, and in fact may still be largely dependent on their parents. The unem ployment rate for teenagers was the same in class 1 as in class 3 areas, a little over 17 percent. It is likely, however, that teenager unem ployment in class 1 areas included a higher proportion of casual jobseekers who had entered the labor market in response to a favorable job situation. T a b l e 1.— Unemployment by age and sex} by labor market area class, spring 1959 [Based on the monthly labor force surveyl Number of unemployed (thousands) Unemployment rate (percent) Percent distribution Age and sex Class 1 Class 2 Class 3 Class 1 Class 2 Class 3 Class 1 Class 2 Class 3 579 524 1,130 4.9 4.9 6.3 100.0 100.0 100.0 356 333 717 4.7 4.6 6.0 61.5 63.5 63.5 14 to 19 years...................... 20 to 24 years....................... 25 to 34 years------------------35 to 44 years ....................... 45 to 54 years....................... 55 to 64 years....................... 65 years and over................ 84 45 63 54 50 43 18 62 43 72 53 46 40 17 99 76 171 128 115 95 32 17.8 6.6 3.4 2.9 3.3 4.5 5.6 15.2 7.1 4.1 3.0 3.2 4.2 5.7 17.1 8.6 6.2 4.3 4.7 5.5 6.0 14.5 7.8 10.9 9.3 8.6 7.4 3.1 11.8 8.2 13.7 10.1 8.8 7.6 3.2 8.8 6.7 15.1 11.3 10.2 8.4 2.8 Female..................................... 224 I5T 413~ 5.4 5.5 38.7 36.5 36.5 14 to 19 years...................... 20 to 24 years....................... 25 to 34 years....................... 35 to 44 years....................... 45 to 54 years................. — 55 to 64 years....................... 65 years and over................ 58 34 42 40 27 20 3 39 18 37 40 34 19 5 81 61 61 70 95 35 15 17.2 7.3 4.8 4.5 2.9 4.0 2.2 12.1 4.8 5.8 5.2 4.3 4.3 4.0 17.6 8.4 5.9 4.8 7.0 4.7 6.9 10.0 5.9 7.3 6.9 4.7 3.5 .5 7.4 3.4 7.1 7.6 6.5 3.6 1.0 7.2 5.4 5.4 6.2 8.4 3.1 1.3 211 509 3.4 3.6 5.1 36.2 40.2 45.0 Total.............................. Male, 25 to 64 years............... ^10 <uT Married women represented a higher proportion of the unemployed in class 1 than in class 3, while married men accounted for a smaller proportion (table 2). Although these differences were slight, they were consistent with the pattern of a more serious kind of unemploy ment problem in class 3 areas. Unemployment rates for nonwhite workers were much higher than for white workers in all three area groups (about 2}{ to 3 times as high among men) and unemployment rates were higher in class 3 areas than in class 1 areas for both whites and nonwhites. Interestingly, however, the class 1-class 3 difference seemed to be a little sharper for white than for nonwhite workers, probably reflecting (among other things) a difference in industry and occupation distribution. 8 UNEMPLOYMENT IN AREAS OF SUBSTANTIAL LABOR SURPLUS T a b l e 2 . — Unemployment by marital status, color, and sex, labor market area class, spring 1959 [Based on the monthly labor force survey! Number of unemployed (thousands) Unemployment rate (percent) Percent distribution Characteristic Class 1 Class 2 Class 3 Class 1 Class 2 Class 3 Class 1 Class 2 Class 3 Total.............................. 579 524 1,130 4.9 4.9 6.3 100.0 100.0 Male......................................... 356 333 717 4.7 4.6 6.0 61.5 63.5 63.5 Married, wife present____ All other..................... ........ 166 190 156 177 375 342 2.9 10.6 2.8 10.6 4.1 12.6 28.7 32.8 29.8 33.8 33.2 30.3 Female..................................... 224 191 413 5.4 5.5 6.9 38.7 36.5 36.5 Married, husband present. All other............................... 105 119 90 101 178 235 4.8 6.3 4.8 6.3 6.0 7.7 18.1 20.6 17.2 19.3 15.8 20.8 Male............ ..................... ....... 356 333 717 4.7 4.6 6.0 61.5 63.5 63.5 White.................................... Nonwhite............................. 243 112 252 81 550 166 3.7 11.2 3.9 10.8 5.1 13.9 42.0 19.3 48.1 15.5 48.7 14.7 Female..................................... 224 191 413 5.4 5.5 6.9 38.7 36.5 36.5 White................................... Nonwhite________________ 164 61 138 53 330 83 4.8 9.0 4.6 11.7 6.4 10.0 28.3 10.5 26.3 10.1 29.2 7.3 100.0 Industry and occupation oj latest job held by the unemployed The big difference in the previous job experience of unemployed workers in areas of substantial labor surplus, as contrasted with other major labor market areas, was the much higher ratio of factory un employed to total unemployed. Nearly two-fifths of the 1.1 million jobless in areas of substantial labor surplus were formerly employed m manufacturing industries; only one-fifth of those in class 1 areas were factory workers. (See table 3.) The work force in areas of substantial labor surplus was generally more heavily concentrated in manufacturing, and in addition, the unemployment rate for factory workers was much higher in class 3 areas; in durable goods industries, the rate was 7 percent as compared with 4 percent in the other areas. The automobile and apparel industries each accounted for about 5 percent of the unemployed in class 3 areas but were a negligible proportion in the other areas. In class 1 areas, a higher proportion of the unemployed than in class 3 were new entrants to the labor market, were from growing industries (trade, services, government) or were from sectors with wide seasonal fluctuations (agriculture, construction). This means that class 1 area unemployment reflected to a much larger extent short term frictional situations and to a smaller extent basic economic maladjustments. Although there was a greater concentration of class 1 area unem ployed in nonmanufacturing industries, the rates of unemployment in three important sectors—construction, transportation, and trade—were lower than in class 3 areas. On the other hand, in those industries less closely related to the general level of business activity such as services and government, unemployment rates were virtually the same in class 1 as compared with class 3 areas. UNEMPLOYMENT IN AREAS OF SUBSTANTIAL LABOR SURPLUS 9 T a b l e 3 . — Unemployment by industry of last job, labor market area class, spring 1959 [Based on the monthly labor force survey] Number of unemployed (thousands) Unemployment rate (percent) Percent distribution Industry group Class 1 Total________ _______ Class 2 Class 3 Class 1 Class 2 Class 3 Class 1 Class 2 4.9 4.9 6.3 100.0 100.0 100.0 4.3 5.7 13.1 86.9 13.0 87.0 10.5 89.5 Class 3 579 524 1,130 New workers................... ....... Experienced unemployed 76 503 68 456 119 1,011 Agriculture...... ................... Nonagricultural indus tries........ ....................... 26 14 7 7.5 5.8 3.2 4.5 2.7 .6 477 442 1,004 4.2 4.3 5.7 82.4 84.4 88.8 Self employed and un paid........ ....................... P r iv a te h o u se h o ld workers........... — ......... Government workers Other wage and salary workers.................... Mining, forestry and fisheries...................... Construction-............. Manufacturing. .......... Durable goods_____ Automobiles.......... All other................ Nondurable goods _ _ Textile-mill............ Apparel.................. All other_________ Transportation and other utilities........ Railroads................... All other.................... Trade............................. Service----------------------- 14 14 24 1.2 1.4 1.5 2.4 2.7 2.1 30 40 17 15 30 33 5.6 2.3 5.1 1.5 4.3 1.9 5.2 6.9 3.2 2.9 2.7 2.9 396 397 920 5.0 4.9 6.8 68.4 75.8 81.4 1 73 111 53 53 58 8 9 42 3 66 141 87 7 80 55 3 9 43 14 125 416 242 57 185 173 22 65 86 (0 10.4 4.8 4.1 0) 4.5 5.5 0) 6.4 5.0 0) 12.3 4.2 3.9 4.7 3.8 4.9 0) 7.6 4.5 .6 12.6 26.9 16.6 1.3 15.3 10.5 .6 1.7 8.2 1.2 11.1 36.8 21.4 5.0 16.4 15.3 1.9 5.8 7.6 28 8 20 101 84 20 7 13 106 62 58 16 42 183 126 3.3 4.3 3.1 5.0 4.3 3.0 3.9 2.7 6.1 3.7 3.8 1.3 2.5 20.2 11.8 5.1 1.4 3.7 16.2 11.2 * Percent not shown where base is less than 100,000. 6043^— 60- 8 4.3 .2 0) 15.0 12.6 7.0 19.2 7.0 9.2 11.7 6.2 ~"""9.~2~ 7.0 1G.0 8.6 1.4 10.6 1.6 5.4 7.0 4.9 5.5 4.7 6.8 4.6 4.8 1.4 3.4 17.4 14.5 1 0 Industrial Composition of the Unemployed, by Labor Market Area Grouping: Spring 1959 Percent Percent 10 0 Proportion of the unemployed from manufacturing, mining, transportation and utilities... 90 Proportion of the unemployed from trade, services, government, or who had no previous work experience• • • 90 80 80 70 60 60 - 50 50 40 30 20 1 0 1 0 CLASS 1 CLASS II U IT D STATES D P R M N O L B R N E EAT ET F AO B R A O L 8 R SAITC U E U F A 0 TTSIS CLASS 111 CLASS 1 CLASS II CLASS III 'UNEM PLOYM ENT I A E S O SUBSTANTIAL L B R SURPLUS N RA F AO Chart 1. UNEMPLOYMENT IN AREAS OF SUBSTANTIAL LABOR SURPLUS 11 The occupation data in table 4 reflect the same basic factors as the industry statistics—a higher rate of unemployment in nearly all occu pations in class 3, a higher proportion of factory operatives (semiskilled' production workers) among the unemployed, and a lower proportion of farm workers, service workers, and new workers. T a b l e 4 . — Unemployment by occupation group, by labor market area class, spring1 1959 [Based on the monthly labor force survey] Occupation group Number of unemployed (thousands) Unemployment rate (percent) Percent distribution Class 1 Class 2 Class 3 Class 1 Class 2 Class 3 Class 1 Class 2 Class 3 4.9 4.9 6.3 100.0 100.0 100.0; 13.0 87.0 10.5 89.5 Total.............................. 579 524 1,130 New workers______________ Experienced unemployed-__ 76 503 68 456 119 1,011 4.3 4.3 5.7 13.1 86.9 White collar........................ Professional and tech nical_____ ___________ Managers, officials, pro prietors........ ................. Clerical............................. Sales.................... ........... Blue collar. .......................... Craftsmen and foremen. Operatives........................ Manufacturing............ All other....................... Laborers....... ................... Manufacturing............ All other...................... Service occupations............ Farm occupations.............. 122 117 251 2.2 2.4 3.2 21.1 22.3 22.2’ 17 20 30 1.1 1.7 1.5 2.9 3.8 2.7 11 71 23 268 69 124 60 63 75 12 63 98 18 18 46 33 255 64 119 78 42 72 21 51 77 12 34 132 55 629 132 347 256 90 150 46 104 130 3 .9 3.6 2.8 6.6 4.5 6.7 7.0 6.4 10.9 11.7 10.8 5.9 6.2 1.5 2.7 4.1 6.0 4.1 5.8 6.3 5.2 10.8 9.2 11.7 6.0 5.4 2.0 4.5 4.7 8.4 5.3 8.8 10.1 6.4 14.1 14.2 14.0 5.8 1.7 1.9 12.3 4.0 46.3 11.9 21.4 10.4 10.9 13.0 2.1 10.9 16.9 3.1 3.4 8.8 6.3 48.7 12.2 22.7 14.9 8.0 13.7 4.0 9.7 14.7 2.3 3.0 11.7 4.9 55.7 11.7 30.7 22.7 8.0 13.3 4.1 9.2 11.5 .3 Duration oj unemployment One of the most critical measures of the nature of unemployment is its duration. Most industrial workers are covered by unemployment insurance, and may have some savings to tide them over short periods of unemployment. But when unemployment extends for long dura tion involving exhaustion of savings as well as of entitlement for unemployment benefits, serious social implications are involved. In this respect, class 3 areas also showed up considerably worse than class 1 areas. One-fourth of the unemployed in class 3 had ex perienced a jobless spell of more than 6 months; this was true of only one-eighth of the unemployed in class 1 (table 5). Conversely, a smaller proportion of the class 3 unemployed had been seeking work for only 1 month or less. Class 3 areas accounted for over 40 percent of the very long-term unemployed in the nation (over one-half year), but they represented only 25 percent of the short-term unemployed. Differences in duration of unemployment would undoubtedly be even greater, and more revealing, if data were available for an entire calendar year for these areas. It is hoped that such data can be developed in a future work experience study covering an entire year. 1 2 Proportion of the unemployed who were jobless for 15 weeks or longer at the time of the survey... Proportion of the unemployed who were jobless for less than 5 weeks at the time of the survey. . . _ 80 70 60 30 ■■■I m m 27 or I Longer I CLASS 1 CLASS 11 U ITED STATES D N EPAR EN O LA O TM T F B R B R A O L B RS A I T C U E U F A O TTSIS CLASS 111 CLASS 1 CLASS II CLASS III UNEMPLOYMENT I A E S O SU N RA F BSTAN TIAL L B R SURPLUS AO Chart 2. Long-Term and Short-Term Unemployed, by Labor Market Area Grouping: Spring 1959 UNEMPLOYMENT IN AREAS OP SUBSTANTIAL LABOR SURPLUS 13 T a b l e 5. — Unemployment, by duration, by labor market area class, spring 1959 [Based on the monthly labor force survey] Number of unemployed (thousands) Percent distribution Duration of unemployment (weeks) Class 1 Class 2 Class 3 Class 1 Class 2 Class 3 Total................................................ 579 524 1,130 100.0 100.0 100.0 Less than 5................................................ 6 to 10......................................................... 11 to 14....................................................... 15 or longer................................................ 269 102 42 166 214 97 40 172 360 199 96 476 46.5 17.6 7.3 28.7 40.8 18.5 7.6 32.8 31.9 17.6 8.5 42.1 15 to 26................................................ 27 or longer......................................... 92 74 72 100 187 289 15.9 12.8 13.7 19.1 16.5 25.6 EMPLOYMENT Industry and occupation The industrial character of employment in c a s 1 areas showed ls a'heavier concentration in sectors which have shown steady employ ment growth and which are l s subject to c c i a unemployment. es ylcl Government, trade, and service made up 50 percent of employment in c a s 1 ar a , 40 percent in c a s 3 (table 6 . On the other hand, as ls es ls ) noted e r i r manufacturing was much more important i c a s 3 than ale, n ls in c a s 1 comprising one-third of the employed as compared with ls , oeffh n-it. In l n with the industrial pattern, there was a larger proportion ie of semiskilled factory operatives among the employed as well as the unemployed in c a s 3 than in c a s 1 (table 7 . Other differences ls ls ) were relatively small, but there were perceptibly lower proportions of white c l a ( s e i l y professional) and service workers in c a s 3 olr epcal ls . T a b l e 6. — Employment by industry group, by labor market area class, spring 1959 [Based on the monthly labor force survey] Number of employed (thousands) Percent distribution Industry group Class 1 Class 2 Class 3 Class 3 Class 2 Class 1 Total................................................ 11,142 10,136 16,768 100.0 100.0 100.0 Agriculture................................................ Nonagricultural industries___________ 319 10,823 229 9,907 209 16,560 2.9 97.1 2.3 97.7 1.2 98.8 Self-employed and unpaid family. Private household workers----------Government workers____________ Other wage and salary workers.. . Mining, forestry, and fisheries. Construction............................ Manufacturing........................... Durable goods..................... Automobiles_________ All other....................... Nondurable goods_______ Textile—mill_________ Apparel--------------------All other....................... Transportation and other utilities____________________ Railroads.____ __________ All other............................... Trade........................................... Service______________________ 1,138 506 1,714 7,467 44 626 2,225 1,226 89 1,137 998 74 131 794 988 319 960 7,640 28 472 3,229 2,168 143 2,025 1,060 29 110 922 1,599 673 1,717 12,570 67 711 5,524 3,222 432 2,790 2,301 233 549 1,520 10.2 4.5 15.4 67.0 .4 5.6 20.0 11.0 .8 10.2 9.0 .7 1.2 7.1 9.7 3.1 9.5 75.4 .3 4.7 31.9 21.4 1.4 20.0 10.5 .3 1.1 9.1 9.5 4.0 10.2 75.0 .4 4.2 32.9 19.2 2.6 16.6 13.7 1.4 3.3 7.9 809 177 632 1,911 1,854 646 171 475 1,644 1,622 1,125 276 849 2,509 2,637 7.3 1.6 5.7 17.2 16.6 6.4 1.7 4.7 16.2 16.0 6.7 1.6 5.1 15.0 15.7 14 UNEMPLOYMENT IN AREAS OP SUBSTANTIAL LABOR SURPLUS T a b l e 7. — Employment by occupation group, by labor market area class, spring 1959 [Based on the monthly labor force survey] Number of employed (thousands) Percent distribution Occupation group Class 1 Class 2 Class 3 Class 1 Class 2 Class 3 Total................................................ 11,142 10,136 16,768 100.0 100.0 100.0 White collar.............................................. 5,527 4,736 7,611 49.6 46.7 45.4 Professional and technical.............. Managers, officials, and proprie tors................................................... Clerical................................................ Sales.................................................... 1,544 1,167 1,965 13.9 11.5 11.7 1,252 1,918 813 1,150 1,655 764 1,703 2,827 1,116 11.2 17.2 7.3 11.3 16.3 7.5 10.2 16.9 6.7 Blue collar................................................. 3,794 3,998 6,867 34.1 39.4 41.0 Craftsmen and foremen................... Operatives.......................................... Manufacturing........................... All other...................................... Laborers............................................. Manufacturing........................... All other...................................... 1,459 1,721 792 929 614 91 523 1,486 1,919 1,160 759 593 207 386 2,360 3,590 2,267 1,322 917 278 639 13.1 15.4 7.1 8.3 5.5 .8 4.7 14.7 18.9 11.4 7.5 5.9 2.0 3.8 14.1 21.4 13.5 7.9 5.5 1.7 3.8 Service occupations................................. 1,551 1,196 2,123 13.9 11.8 12.7 Private household workers............. All other............................................. 425 1,126 258 938 589 1,534 3.8 10.1 2.5 9.3 3.5 9.1 209 170 2.5 2.1 1.0 Farm occupations.................................... 274^ Hours oj work Part-time employment (less than 35 hours during the survey week) did not vary significantly among the three area groupings, representing about 15 percent of nonfarm employment. The proportion of the employed on part-time workweeks due to economic reasons (such as slack work, material shortages, inability to find full-time work) totaled about 3 percent in all three groupings. At the same time, however, a larger proportion of the class 1 than of the class 3 workers had employment in excess of 40 hours a week, implying more overtime work at premium pay and more dual job holding (table 8). UNEMPLOYMENT IN AREAS OF SUBSTANTIAL LABOR SURPLUS 15 T a b l e 8 . — Employment in nonfarm industries by hours of work, by labor market area class, spring 1959 [Based on the monthly labor force survey] Number of employed (thousands) Percent distribution Hours of work Class 1 Class 2 Class 3 Class 1 Class 2 Class 3 Total__________ ________ ______ 10,823 9,907 16,560 100.0 100.0 100.0 With a job but not at work__________ A t work______________ ______________ 340 10,483 332 9,575 554 16,006 3.1 96.9 3.4 96.6 3.3 96.7 1 to 34 hours_____________________ 1,709 1,484 2,420 15.8 15.0 14.6 Usually work full time, worked part time for— Economic reasons________ Other reasons........... .......... Usually work part time: Economic reasons________ Other reasons____________ 153 270 151 263 266 388 1.4 2.5 1.5 2.7 1.6 2.3 168 1,118 156 915 276 1,491 1.6 10.3 1.6 9.2 1.7 9.0 35 hours or more_________________ 8,776 8,091 13,588 81.1 81.7 82.1 35 to 40 hours________________ 41 hours or more_____________ 5,523 3,253 5,491 2,600 9,650 3,938 51.0 30.1 55.4 26.2 58.3 23.8 POPULATION AND LABOR FORCE The civilian noninstitutional population in areas of substantial labor surplus, as might be expected, tended to be somewhat older than in areas with more balanced labor supply-demand relationships or with labor shortages. For example, 63 percent of the class 3 area popula tion were 35 years of age and over as compared with 59 percent of the class 1 area population (table 9). This undoubtedly reflects some tendency for young persons to migrate from chronically depressed and other areas of substantial labor surplus in search of better employ ment opportunities. Partly as a result, the labor force in class 3 areas also included a smaller proportion of workers under 35. T a b l e 9. — Civilian noninstitutional population by age and sex, by labor market area class, spring 1959 [Based on the monthly labor force survey] Number in the population (thousands) Percent distribution Age and sex Class 1 Class 2 Class 3 Class 1 Class 2 Class 3 Total................................................ 19,945 18,505 30,793 100.0 100.0 100.0 Male..................- ....................................... 9,271 8,818 14,526 46.5 47.7 47.2 14 to 19 years____________ _______ 20 to 24 years....................... .............. 25 to 34 years. ................................... 35 to 44 years..................................... 45 to 54 years_____ ________ _____ 55 to 64 years. ................................... 65 years and over.............................. 1,091 768 1,879 1,871 1,586 1,128 949 992 716 1,805 1,789 1,477 1,092 947 1,652 1,038 2,816 3,022 2,512 1,903 1,586 5.5 3.9 9.4 9.4 8.0 5.7 4.8 5.4 3.9 9.8 9.7 8.0 5.9 5.1 5.4 3.4 9.1 9.8 8.2 6.2 5.2 Female....................................................... 10,673 9,688 16,267 53.5 52.4 52.8 14 to 19 years.................................... 20 to 24 years................... ................. 25 to 34 years______________ _____ 35 to 44 years--................................. 45 to 54 years..................................... 55 to 64 y e a r s.................................. 65 years and over.............................. 1,258 1,002 2,158 2,019 1,695 1,248 1,295 1,100 886 1,790 1,804 1,599 1,227 1,285 1,746 1,386 2,954 3,359 2,743 2,043 2,038 6.3 5.0 10.8 10.1 8.5 6.3 6.5 5.9 4.8 9.7 9.7 8.6 6.6 6.9 5.7 4.5 9.6 10.9 8.9 6.6 6.6 16 UNEM PLOYM ENT IN AREAS OF SUBSTANTIAL LABOR SURPLUS Table 10 shows labor force participation rates by age and sex for four labor market area groupings, including separate data for chron ically depressed areas (class 3B) and other areas of substantial labor surplus (class 3A). These data are also presented in charts 3 and 4. The labor force rates were the only separate data for chronically depressed areas from the MRLF that were considered to have a small enough degree of sampling variability to permit publication and analysis. The proportion of young men under 25 who were in the labor force—either employed or seeking work—was lowest in chronically depressed areas, highest in class 1 areas. The gap between the rates was about 10 percentage points. The sharpest difference in worker rates between class 1 and the chronically depressed area group (class 3B)—a 20-percentage-point difference—occurred among boys of high school age (16 and 17), virtually all of whom are in school and ordi narily seek only part-time work. Most of the young men aged 14 to 24 in the chronically depressed areas who were not in the labor force were in school. The data also showed lower labor force participation rates for men over 65 in chronically depressed areas, but the differeDces between t3 ^pes of areas were comparatively small. The lower rates of partici pation of this age group reflects in part the increasing number of men who are becoming eligible for social security and private pension benefits. With the loss of their jobs, and facing little opportunity for reemployment, these older men apparently retire from the labor market. This pattern of increased retirement under conditions of relatively high unemployment was apparent during the 1957-58 re cession, when the number of persons drawing social security benefits rose sharply. On the other hand, among men in the central age groups (25 to 64) there was no significant difference in rates of labor force participation between class 1 areas and chronically depressed areas. These adult men appear as unemployed in the labor force survey if they do not have jobs and do not drop out of the labor force from discouragement. Moreover, to keep these facts in perspective, it should be pointed out that even if the worker rates for men in the chronically depressed areas were as high in each case as in class 1 areas and even if all these additional labor force members were unemployed the net addition to the national unemployed total would be less than 50,000 or a little over 1 percent of the spring 1959 level of unemployment. Of course, there are other factors that affect labor force participation rates that have not been considered here. We know, for example, that class 1 areas and chronically depressed areas differ with respect to other characteristics that influence labor force participation (industrial distribution, ethnic composition of the population, demographic characteristics) but with the present sample, it is impos sible to standardize for these differences. However, the very fact of being an area of high unemployment as against being a prosperous area, in turn, has an influence on the kinds of people who live in the area (e.g., young, middle aged, older) and the kinds of industries that might be attracted. The data for women, in contrast to those for men, appeared to lend some support to the “additional worker” theory. This theory assumes that in families where the main breadwinner is unable to earn sufficient UNEMPLOYMENT IN AREAS OF SUBSTANTIAL LABOR SURPLUS 17 income for the family’s needs, the wife or some other member will enter the labor force to assist with the support of the family. Industries where women usually seek work, such as trade and service, are in general less affected by unemployment even in areas of substan tial labor surplus. The worker rates for women seem to suggest that either unusual need or especially good opportunities are among the incentives which motivate women to enter the labor market. For example, in the 35to 64-year age group, the proportion of working women was highest in chronically depressed areas, (50 percent) next highest in class 1 areas (47 percent), and lowest in class 2 and 3 areas (43 percent). The patterns for women under 35 were somewhat different. Among teenage girls, for example, differences between the area groupings were small, but the worker rate was at least average or better in chronically depressed areas. For those in the 20- to 24-year group, the rate was highest in chronically depressed areas (nearly 60 percent), second highest in other areas of substantial labor surplus (52 percent). It may be that opportunities for early marriage or a college education are fewer in areas of substantial labor surplus than in other urban centers. Also, it is possible that young married couples in areas of substantial labor surplus find it more necessary for both husband and wife to work, at least before the birth of their first child. In the 25- to 34-year age bracket, the worker rate was highest in class 1 areas (40 percent). In other areas, it was just about the same (35 percent). Of course, this is the age group where women are most likely to have young children to care for, a major deterrent to labor force participation in all areas and population groups. T a b le 10.— 'Labor force status by age and sex, by labor market area class, spring 1959 [Based on monthly labor force survey] Number in the labor force (thousands) Labor force rate Age and sex Class 3 Class 1 Class 2 Class 3 Class 1 Class 2 Total A B Total........................... 11,721 10,658 17,898 58.8 57.6 58.1 58.2 Male_____________________ 7,609 7,198 11,896 82.1 81.6 81.9 82.3 77.3 14 to 19 years.................... 20 to 24 years. ................... 25 to 34 years..................... 35 to 44 years..................... 45 to 54 years..................... 55 to 64 years..................... 65 years and over.............. 472 687 1,827 1,831 1,514 954 323 409 603 1,742 1,754 1,430 962 300 579 883 2,755 2,977 2,440 1,730 533 43.3 89.5 97.2 97.9 95.5 84.6 34.0 41.2 84.2 96.5 98.0 96.8 88.1 31.7 35.0 85.1 97.8 98.5 97.1 90.9 33.6 35.2 85.4 97.9 98.6 97.5 91.4 34.1 33.3 80.6 96.9 97.6 93.2 86.7 30.6 Female................................... 4,112 3,461 6,002 38.5 35.7 36.9 36.6 40.0 14 to 19 years..................... 20 to 24 years........ ........... 25 to 34 years..................... 35 to 44 years........ ............ 45 to 54 years..................... 55 to 64 years..................... 65 years and over............. 337 466 871 885 919 502 135 322 376 634 771 788 446 125 460 729 1,040 1,451 1,366 741 218 26.8 46.5 40.4 43.8 54.2 40.2 10.4 29.3 42.4 35.4 42.7 49.3 36.3 9.7 26.3 52.6 35.2 43.2 49.8 36.3 10.7 26.2 52.0 35.2 42.4 49.0 35.5 11.1 28.7 58.9 35.7 50.3 57.0 42.2 8.3 Class 3A— Substantial labor surplus areas except depressed areas. Class 3B—Chronically depressed areas. 57.3 18 UNEMPLOYMENT IN AREAS OP SUBSTANTIAL LABOR SURPLUS Chart 3. Labor Force Participation Rates for Men by A g e ,( by Labor Market Area Grouping: Spring 1959 r 1 0 I 20 30 40 ~i------ r~ —— I 50 I 60 I 70 80 90 Percent 14 to 19 Years 20 to 24 Years 25 to 44 Years 1 0 2 2/ / / / / / / / / / / / / / / / / / / / / / / / / / / 45 to 64 Years O S / / / / / / / / V////////////S7777n 65 Years and Over U IT D S A E D P R M N O L B R N E TTS EAT ET F AO B RA O LBRSAITC UEU F AO TTSIS ZZZ2Z / / / / / W W W E23 Class IAreas fX\l Class II Areas (»;* i L b r S rp s A s, .• a o u lu rea t t « Ece t Dp sse * 1 x p e re d OQ C ro ica h n lly D ressed A o ep re s 100 UNEMPLOYMENT IN AREAS OF SUBSTANTIAL LABOR SURPLUS 19 Chart 4. Labor Force Participation Rates (or Women by Age, by Labor Market Area Grouping: Spring 1959 60 50 70 80 90 14 to 19 Years y7777/;yy//y77/yz/zsy/y//;A 20 to 24 Years / / // / / / // / / // / / / // / . 25 to 34 Years J i 7W M 7/;;//777Z?7/7/77/7A 35 to 64 Years 65 Years and Over 3 w a U IT D S A E D P R M N O L B R N E TTS EAT E T F AO B R A O LBRSAITC U E U F AO TTSIS EZ3 Class I Areas Class II Area? a o S lu rea br u s E 3 LEce trpp A ds. x p O re e sse C ro ica h n lly E Z Op sse A s e re d rea Prce t e n 100 20 UNEMPLOYMENT IN AREAS OF SUBSTANTIAL LABOR SURPLUS A p p e n d ix t o P art I List of areas included in each class CLASS l Arizona: Phoenix Arkansas: Little Rock California: Fresno Sacramento San Diego San Francisco-Oakland San Jose Stockton Colorado: Denver Connecticut: Hartford Stamford-Norwalk Delaware: Wilmington District of Columbia Florida: Jacksonville Miami Tampa-St. Petersburg Georgia: Atlanta Augusta Macon Savannah Illinois: Davenport-Rock Island-Moline Rockford Iowa: Cedar Rapids Des Moines Kansas: Wichita Louisiana: Baton Rouge New Orleans Shreveport Massachusetts: Boston Michigan: Kalamazoo Mississippi: Jackson Nebraska: Omaha New Hampshire: Manchester New Mexico: Albuquerque New York: Rochester North Carolina: Charlotte Winston-Salem Ohio: Cincinnati Columbus Oklahoma: Oklahoma City Tulsa Pennsylvania: Harrisburg Lancaster South Carolina: Charleston Greenville Tennessee: Nashville Texas: Austin Dallas El Paso San Antonio Utah: Salt Lake City Virginia: Hampton-Newport News Norfolk-Portsmouth Richmond Washington: Seattle Wisconsin: Madison CLASS 2 California: Los Angeles-Long Beach Riverside-San Bernardino-Ontario Connecticut: New Haven Georgia: Columbus Illinois: Chicago Peoria Indiana: Indianapolis Michigan: Battle Creek Lansing Saginaw Minnesota: Minneapolis-St. Paul Missouri: Kansas City St. Louis New York: Binghamton Syracuse North Carolina: Greensboro-High Point Ohio: Akron Canton Cleveland Dayton Hamilton-Middleton Lorain-Elyria Youngstown Oregon: Portland Pennsylvania: Reading Tennessee: Memphis Texas: Fort Worth Houston Wisconsin: Kenosha Milwaukee Racine UNEMPLOYMENT IN AREAS OF SUBSTANTIAL LABOR SURPLUS 21 CLASS 3 ABBAS Alabama: Birmingham Mobile Connecticut: Bridgeport New Britain-Bristol Water bury Illinois: Aurora7 Joliet Indiana: Evansville Fort Wayne South Bend Terre Haute Kentucky: Louisville Maine: Portland Maryland: Baltimore Massachusetts: Brockton Fall River Lawrence Lowell New Bedford Springfield-Holyoke Worcester Michigan: Detroit Flint Grand Rapids Muskegon-Muskegon Heights Minnesota: Duluth-Superior New Jersey: Atlantic City Newark8 Paterson Perth Amboy New York: Alban y-Schenectady-Troy Buffalo New York-northeastern New Jersey Utica-Rome North Carolina: Asheville Durham Ohio: Toledo Pennsylvania: Allentown-Bethlehem-Easton Altoona Erie Johnstown Philadelphia Pittsburgh Scranton Wilkes-Barre-Hazleton York Rhode Island: Providence Tennessee: Chattanooga Knoxville Texas: Beaumont-Port Arthur Corpus Christi Virginia: Huntington-Ashland Roanoke Washington: Spokane Takoma West Virginia: Charleston Wheeling-Steubenville S A M P L IN G E R R O R S F O R E S T IM A T E S OP C H A R A C T E R IS T IC S OP T H E L A B O R FORCE FROM THE M R LF S A M P L E Below are given the approximate sampling errors for various estimates obtained from the monthly labor force survey in April and May 1959. The data presented in the report are averages for April and May, thus reducing the sampling errors shown in the tables (which relate to a single month) by 20 percent. On the other hand, the sampling error for areas are generally relatively larger than for the country as a whole, so that on balance the figures shown below are probably satisfactory approximations. 7 Separate M R L F data unavailable, combined with Joliet. 8 Separate M R L F data unavailable, combined with New York-northeastern New Jersey. 22 UNEMPLOYMENT IN AREAS OP SUBSTANTIAL LABOR SURPLUS Standard error of level of monthly estimates [In thousands] Both sexes Male Female Size of estimate Total or white Nonwhite 5 11 15 24 34 48 75 100 140 180 210 220 10,000............................................ 50,000............................................ 100,000.......................................... 250,000.......................................... 500,000.......................................... 1,000,000....................................... 2,500,000....................................... 5,000,000....................................... 10,000,000..................................... 20,000,000..................................... 30,000,000..................................... 40,000,000..................................... Total or white 5 10 14 21 30 40 50 50 Nonwhite 7 14 20 31 43 60 90 110 140 150 Total or white 5 10 14 21 30 40 50 Nonwhite 5 10 14 22 31 45 70 100 130 170 5 10 14 21 30 40 50 Standard error of percentages Base of percentage (thousands) centage 150 1 or 99................... 2 or 98................... 5 or 95................... 10 or 90................. 15 or 85................. 20 or 80................. 25 or 75................. 35 or 65................. 50........................... 250 500 1,000 2,000 3,000 5,000 10,000 25,000 50,000 1.0 1.4 2.2 3.0 3.5 4.0 4.2 4.7 4.9 0.8 1.1 1.7 2.3 2.8 3.1 3.4 3.7 3.9 0.6 .8 1.2 1.7 2.0 2.2 2.4 2.6 2.8 0.4 .5 .9 1.2 1.4 1.6 1.7 1.9 1.9 0.3 .4 .6 .8 1.0 1.1 1.2 1.3 1.4 0.2 .3 .5 .7 .8 .9 1.0 1.1 1.1 0.2 .2 .4 .5 .6 .7 .8 .8 .9 0.1 .2 .3 .4 .4 .5 .5 .6 .6 0.1 .1 .2 .2 .3 .3 .3 .4 .4 0.1 .1 .1 .2 .2 .2 .2 .3 .3 P a rt 75,000 0.1 .1 .1 .1 .2 .2 .2 .2 .2 II Part II of this study is based on tabulations from the 1-percent sample survey of unemployment insurance claimants operated jointly in 1956 and 1957 by the Bureau of Labor Statistics and the Bureau of Employment Security with the cooperation of the State employment security agencies. From this source, it was possible to trace the unemployment experience of the same individuals over an entire year (July 1956-June 1957). The data relate to all persons who ter minated at least one spell of insured unemployment at any time during that period. Separate figures are available on exhaustions. The data on duration of unemployment reflect an accumulation of all spells of insured unemployment experienced during the 12 months under observation. In the 1-percent sample, information was also collected on the characteristics of claimants—age, sex, marital status, and occupation and industry of the job held before their first spell of insured unem ployment. Because of time and cost factors, it was possible to use only a subsample (0.2 of 1 percent) in this study. Nevertheless, reliable information could be obtained at a fairly detailed level. (See table of standard errors on p. 34.) In fact, the sample for the insured unemployed was sufficiently large to show separate data for the United States for depressed areas, and all other areas. Chron ically depressed areas comprise those major labor market areas which were classified by the Bureau of Employment Security as having a UNEMPLOYMENT IN AREAS OF SUBSTANTIAL LABOR SURPLUS 23 substantial labor surplus in at least three out of the six regular bi monthly classifications between July 1956 and June 1957, as well as the smaller labor market areas so classified at least once during that period. According to the definition of chronically depressed areas used for this study, 21 major labor market areas were so identified; of these, 15 were also classified as chronically depressed in the more recent BES study,9 which used a slightly different set of criteria. By and large, areas which had over 6 percent of their labor force unemployed in the last half of 1956 or the first half of 1957—a period of high and grow ing employment—are considered chronically depressed areas for the purpose of this study. There are several advantages to be derived from Part II of this study: 1. These data are based on a relatively large sample of insured unemployed, permitting the presentation of separate data on their characteristics in depressed areas. 2. Separate data on the number and characteristics of exhaustees in depressed areas and other areas are available. 3. Although beyond the scope of this report, the publication of these data permits comparison of insured unemployment and total unemployment in terms of experience for an entire year. Some of the limitations in the use of these data are: 1. Among the major labor market areas identified as depressed is Detroit, which accounts for nearly half the population in the combined group. To a large extent, therefore, the unemployment characteristics of Detroit dominate the pattern for the depressed areas as a whole. 2. There are no comparable figures for the characteristics of covered employment—that is, the cumulative number of persons who worked at any time during the 12-month period under study in covered employment, by age, sex, marital status, occupation, industry, by type of area. Therefore, it is impossible to esti mate a covered labor force or to calculate unemployment rates. 3. The figures on duration reflect administrative and legislative limitations on duration of benefits. Moreover, these limitations vary by State and comparisons of exhaustion rates or duration of insured unemployment as between depressed and other areas may not be entirely valid because of these variations. The major findings of the study are described below. Altogether there were 6.3 million different persons who had one or more spells of insured unemployment at some time between July 1956 and June 1957. Of this total, about 900,000— 15 percent—were lo cated in chronically depressed areas as defined for purposes of this report. If it is assumed that the ratio of insured to total unemployment of 60 percent was roughly the same in chronically depressed areas as in the United States, then total unemployment in depressed areas would have accounted for about 400,000 of the 2.8 million average level of unemployment in 1956 and 1957. Allowing for the fact that duration of unemployment tends to be longer in chronically depressed than in other areas, this estimate should be raised somewhat—perhaps to about 500,000 or nearly 20 percent. » Op. cit. 24 UNEMPLOYMENT IN AREAS OF SUBSTANTIAL LABOR SURPLUS Of course, this represents a rough approximation. There may be other reasons why the ratio of insured unemployment to total unem ployment would differ in chronically depressed areas from that for the country as a whole. Nevertheless, the figures do provide an order of magnitude as to how much unemployment was located in chroni cally depressed areas in a period of generally high employment for the Nation as a whole. The estimate of a little under 20 percent com pares with an estimate of about 15 percent in the BES report on chronically depressed areas as of May 1959; but that report related to fewer areas. Of course, it should be remembered that even in chronically de pressed areas, some unemployment would have occurred irrespective of the state of the labor market. All nonfarm areas are subject to frictional unemployment caused by seasonal fluctuations in employ ment, by voluntary job changing, and by the constant stream of new entrants and reentrants into the labor market. Improved economic opportunities in chronically depressed areas would reduce both long term unemployment and short-term frictional unemployment, but some of the unemployment in such areas would be present even under more favorable economic conditions. On the other hand, the level of unemployment in chronically de pressed areas may not reflect the full magnitude of their economic plight. It has been hypothesized, for example, that there is under utilization of labor in such areas which is not manifested in the num bers of insured or total unemployed. Some persons who remain outside the labor force presumably would seek and accept work if the employment situation were more favorable. Some confirmation of this tendency for young men and older men of retirement age is provided by the data on worker rates in part I. At the same time, adult men who cannot find jobs in their own line of work might accept poorer jobs at lower pay, requiring less training and skill. Moreover, the existence of chronically depressed areas may have secondary effects that act as a drag on general economic activity. Such effects cannot be measured directly in terms of unemployment in other areas, but the degree of interrelation of our economy is such that there is a strong presumption of this effect. Age, sex, and marital status In depressed areas a relatively higher proportion of the insured unemployed were men between the ages of 25 and 54 years (49 percent against 42 percent in other areas). Similarly, a higher proportion were married men. On the other hand, 12 percent of the insured un employed in nondepressed areas were women between the ages of 45 and 64, in contrast to only 7 percent of those in depressed areas. In terms of the welfare aspects of the problem, unemployment was clearly more serious in depressed areas not only because of the higher rate but also because of the greater concentration among family heads. Most married men in the 25- to 54-year age groups have dependent children and many have the additional financial responsibility of mortgages and other kinds of consumer debt. Married women, on the other hand, are less frequently the primary wage earners in their families. Although the loss of their earnings can make a significant dent in the family’s buying power, it probably does not spell financial disaster. UNEMPLOYMENT IN AREAS OP SUBSTANTIAL LABOR SURPLUS T a b l e 1 1 .— 25 Insured unemployment by type of area, by age, sext and marital status, July 1956-June 1957 [Cumulative number of persons who terminated 1 or more spells of insured unemployment during specified period] Thousands of persons Percent distribution Age, sex, and marital status United States De pressed areas Other areas United States De pressed areas Other areas Total....................................................... 6,300 908 5,392 100.0 100.0 100.0 Male.................................................................. 4,119 640 3,479 65.4 70.4 64.5 Under 25 years.......................................... 25 to 34 years............................................ 35 to 44 years......................... _................. 45 to 54 years............................................. 55 to 64 years............................................. 65 years and over..................................... 696 989 905 810 503 216 104 171 144 129 70 22 592 818 761 681 433 194 11.0 15.7 14.4 12.9 8.0 3.4 11.5 18.8 15.9 14.2 7.7 2.4 11.0 15.2 14.1 12.6 8.0 3.6 M arried................................................... Single.......................................................... Widowed or divorced............................. Fem ale............................................................ 3,105 846 168 2,180 491 124 25 268 2,614 722 143 1,912 49.3 13.4 2.7 34.6 54.1 13.7 2.8 29.6 48.5 13.4 2.7 35.5 Under 25 years.......................................... 25 to 34 years............................................. 35 to 44 years............................................. 45 to 54 years............................................ 55 to 64 years............................................. 65 years and over..................................... 299 521 607 456 236 61 38 72 89 48 16 5 261 449 518 408 220 56 4.7 8.3 9.6 7.2 3.7 1.0 4.2 7.9 9.8 5.3 1.8 .6 4.8 8.3 9.6 7.6 4.1 1.0 Married...................................................... Single.......................................................... Widowed or divroced.............................. 1,597 328 255 194 51 23 1,403 277 232 25.3 5.2 4.0 21.4 5.6 2.5 26.0 5.1 4.3 Industry and occupation The industry figures relate to the job held by persons before their first spell of insured unemployment during the 12-month period under study. About a third of the insured unemployed experienced more than one spell, but it is not known how many found jobs in other industries or occupations before being laid off a second or third time. The industry and occupation distributions for those with only one spell of insured unemployment were, however, substantially the same as for the total, suggesting that conclusions about the occupations and industries of the insured unemployed would not be invalidated by job mobility between spells of unemployment. Since the chronically depressed areas included Detroit, 1 out of every 5 insured unemployed in the depressed areas was from the auto industry in contrast to only 1 out of 20 in all other areas. Other industries accounting for a disproportionately high number of insured unemployed in chronically depressed areas were mining and textiles. Conversely, a smaller proportion were from industries subject to wide seasonal variations (construction, trade, food processing) or from industries characterized by steady employment growth (finance, serv ice, government). It is noteworthy, however, that even in chronically depressed areas at least a third of the insured unemployed came from these latter industries—not usually thought of as being directly subject to structural unemployment. Two-thirds came from manufacturing, mining, and transportation. Semiskilled workers accounted for 4 out of every 10 insured unem ployed in depressed areas but for only 3 out of 10 in other areas. 26 UNEMPLOYMENT IN AREAS OF SUBSTANTIAL LABOR SURPLUS Skilled workers also accounted for a slightly higher proportion of the insured unemployed in chronically depressed than in other areas. These two groups together comprised 61 percent of insured unem ployment in depressed areas; 48 percent in other areas. In nondepressed areas, where much of the unemployment arises from short-term frictional situations, a higher proportion of the insured unemployed were white-collar or service workers. T a b le 12.— Insured unemployment by type of area, by industry, July 1956-June 1957 [See headnote on table 11] Thousands of persons Percent distribution Industry United States De pressed areas Total....................................................... 6,300 908 Mining........................ - .................................... Construction................................................... Manufacturing. .............................................. Durable goods..................................... — 154 857 3,523 1,812 67 100 570 343 Primary metals................................. Fabricated metals. .......................... Machinery, excluding electrical-__ Electrical machinery........................ Transportation equipment............. All other durable goods................... 174 201 215 229 428 565 Other areas United States De pressed areas 5,392 100.0 100.0 100.0 87 757 2,953 1,469 2.5 13.6 55.9 28.8 7.4 11.0 62.8 37.8 1.6 14.0 54.8 27.2 26 30 35 20 182 50 148 171 180 209 246 515 2.8 3.2 3.4 3.6 6.8 9.0 2.9 3.2 3.9 2.1 20.0 5.7 2.7 3.2 3.3 3.9 4.6 9.6 Other areas Nondurable goods.................................... 1,711 227 1,484 27.2 25.0 27.5 Food and kindred. .......................... Textile-mill______________________ Apparel............................................... Leather........................................... All other nondurables......... ........... 272 366 640 167 266 12 80 86 16 33 260 286 554 151 233 4.3 5.8 10.2 2.7 4.2 1.3 8.8 9.5 1.8 3.6 4.8 5.3 10.3 2.8 4.3 Transportation and other utilities............... 181 730 490 364 20 69 42 41 161 661 448 323 2.9 11.6 7.8 5.8 2.2 7.6 4.6 4.5 3.0 12.3 8.3 6.0 Finance, service, and government.............. All other industries......................................... UNEMPLOYMENT IN AREAS OF SUBSTANTIAL LABOR SURPLUS T a b le 27 13.— Insured unemployment by type of area, by occupation, July 1956June 1957 [See headnote on table 11] Thousands of persons Percent distribution Occupation United States Total................................................... . De pressed areas 6 ,3 0 0 908 157 598 364 16 59 Professional and managerial_____________ Clerical and sales___ _______ ____________ Service. ________________________________ Skilled............................................... .............. Semiskilled______________________________ Unskilled— . ______ _____________________ Entry and other._____ __________________ 2 ,0 8 7 1 ,8 5 9 182 M ale._________ _________________________ Professional and managerial__________ Clerical and sales____________________ Service________________ _____________ Skilled....................................................... Semiskilled__________________________ Unskilled.................... ............................. Entry and other_____________________ Female_______ __________ _____ _________ Professional and managerial............ ..... Clerical and sales. _________________ Service______________________________ Skilled.............................. ......................... Semiskilled-____ ____________________ Unskilled..................................... ............ Entry and other_____________________ Other areas United States De pressed areas 5 ,3 9 2 1 0 0 .0 1 0 0 .0 1 0 0 .0 141 1 0 .0 6 .2 Other areas 539 2 .5 9 .5 335 5 .8 1 .8 6 .5 3 .2 227 20 881 1 ,6 9 9 1 ,6 3 2 162 1 6 .7 3 3 .1 2 9 .5 2 .9 1 8 .7 4 2 .7 2 5 .0 2 .2 1 6 .3 3 1 .5 3 0 .3 3 .0 4 ,1 1 9 640 3 ,4 7 9 6 5 .4 7 0 .4 6 4 .5 118 240 210 952 14 104 1 .5 1 .9 25 215 1 .9 3 .8 2 .8 17 158 193 794 3 .3 1 5 .1 4 .0 3 .6 1 ,1 7 8 1 ,2 7 0 150 238 169 19 940 1 ,1 0 1 131 1 8 .7 2 0 .2 2 ,1 8 0 268 1 ,9 1 2 39 2 358 154 37 324 142 87 759 1 .6 1 4 .4 531 31 1 ,0 5 1 29 170 388 99 34 12 12 909 150 589 32 58 1 1 .9 1 7 .4 2 6 .2 2 .6 2 .4 1 8 .6 2 .1 1 4 .7 1 7 .4 2 0 .4 2 .4 3 4 .6 2 9 .6 3 5 .5 .6 .2 5 .7 2 .4 3 .7 6 .0 2 .6 1 .6 1 4 .1 9 .3 1 .3 1 .3 1 6 .5 6 .4 .5 .1 .6 .7 9 .8 Exhaustions, duration, and spells oj insured unemployment Somewhat surprisingly, the rate of exhaustions in chronically de pressed areas was only slightly higher than in other areas during the second half of 1956 and first half of 1957 (17}£ per 100 against 16 per 100 persons who had at least one spell of insured unemployment). Similarly, the proportion with 15 weeks or more of insured unemploy ment was also only slightly higher in depressed areas—29 percent as compared with 27 percent. T a b le 14.— Duration and spells of insured unemployment by type of area, by age, sex, and marital status, July 1956-June 1957 2 8 [See headnote on table 11] Percent distribution Duration Spells Duration Spells Age, sex, and marital status Total UnitedlStates, total.......... 6,300 Exhaus tions 1,019 Total Less than 5 weeks 2,274 15 weeks or longer 1,726 1 only 4,307 2 only 1,240 3 or more 752 Exhaus tions Less than 5 weeks 15 weeks or longer 1 only 2 only 3 or more 100.0 16.2 36.1 27.4 68.4 19.7 11.9 37.6 25.8 70.8 19.3 9.9 38.1 42.4 35.9 26.3 21.1 21.9 25.7 40.9 74.0 70.7 68.9 70.2 18.8 20.2 19.0 17.9 7.2 9.1 12.1 11.8 Male, total.................. . 4,119 594 1,547 1,063 2,918 795 406 100.0 14.4 Under 25.............. 25 to 44.................. 45 to 54................... 55 and over.......... 696 1,894 810 719 73 202 119 200 265 803 291 189 147 415 208 294 515 1,339 558 505 131 382 154 129 50 173 98 85 100.0 100.0 100.0 100.0 10.5 10.7 14.7 27.8 2,180 424 726 663 1,389 445 347 100.0 19.4 33.3 30.4 63.7 20.4 15.9 Depressed areas, total___ 908 158 316 265 599 192 117 100.0 17.4 34.7 29.2 66.0 21.2 12.8 Male, t o t a l............. . 640 107 228 186 450 128 62 100.0 16.7 35.6 29.1 70.3 20.0 9.7 Under 25—............ 25 to 44.................. 45 to 54__________ 55 and over.......... 104 315 129 92 16 43 17 31 36 120 48 25 30 83 30 42 73 216 98 65 22 68 19 17 9 31 12 10 100.0 100.0 100.0 100.0 15.4 13.7 13.2 33.7 34.6 38.1 37.2 27.2 28.8 26.3 23.3 45.7 70.2 68.6 76.0 70.7 21.2 21.6 14.7 18.5 8.7 9.8 9.3 10.9 Female, total........ — Female, total........ ...... 268 51 88 80 150 64 55 100.0 19.0 32.8 29.9 56.0 23.9 20.5 Other areas, total________ 5,392 861 1,958 1,461 3,708 1,048 635 100.0 16.0 36.3 27.1 68.8 19.4 11.8 Male, total.................. 3,479 487 1,319 877 2,468 667 344 100.0 14.0 37.9 25.2 70.9 19.2 9.9 Under 25............... 25 to 44.................. 45 to 54.................. 55 and over.......... 592 1,579 681 627 57 159 102 169 229 683 243 164 117 332 178 252 442 1,123 460 440 109 314 135 112 41 142 86 75 100.0 100.0 100.0 100.0 9.6 10.1 15.0 27.0 38.7 43.3 35.7 26.2 19.8 21.0 26.1 40.2 74.7 71.1 67.5 70.2 18.4 19.9 19.8 17.9 6.9 9.0 12.6 12.0 Female, total.............. Married men: United States__ Depressed areas......... Other areas................. 1,912 373 638 583 1,239 381 292 100.0 19.5 33.4 30.5 64.8 19.9 15.3 3,105 440 1,209 790 2,185 605 315 100.0 14.2 38.9 25.4 70.4 19.5 10.1 491 2,614 78 362 190 1,018 136 654 348 1,837 101 504 46 269 100.0 100.0 15.9 13.8 38.7 39.0 27.7 25.0 70.9 70.3 20.6 19.3 9.4 10.3 TJN PLO EN I A E S O SU EM TM T N R A F BSTAN TIAL L B R SURPLUS AO Thousands of persons UNEMPLOYMENT IN AREAS OF SUBSTANTIAL LABOR SURPLUS 29 The fact that insured unemployment of more than 15 weeks was only slightly more prevalent in depressed areas suggests that the figures compiled in this study do not reflect the full measure of chronic unem ployment. There are a number of factors that may influence these data 1 and it must be recognized that the data shown here relate 0 only to persons who terminated an active spell of insured unemploy ment sometime during the period under observation. What we still do not know is the number of persons in each type of area who were chronically unemployed; who, for example, exhausted their benefits long before the second half of 1956 but who never became reemployed long enough to earn new benefit rights. This group of inactive unem ployed would presumably be much more prevalent in chronically depressed areas than in other areas. Even if the industrial distribution of the insured unemployed in chronically depressed areas shown in these data had been the same as in other areas, the proportion drawing benefits for 15 weeks or more would not have been any higher. Within certain industries, however, such as mining, construction, and automobile production, the proportions with spells of insured unemployment lasting over 3 months was a good deal higher in chronically depressed than in other areas. 1 By and large most of the major depressed areas are in large industrial States where the benefits are 0 among the more liberal in terms of duration. This would tend to narrow the differences in exhaustion rates to the extent that the insured unemployed in nondepressed areas might run out of benefits sooner because of legal provisions alone. On the other hand, the concentration of depressed areas in large States with longer duration of benefits should have accentuated the differences in the proportion exceeding 15 weeks. It is not possible for this study, however, to quantify the effect of variations in State law and oper ating procedures on exhaustions or on duration, but it seems likely that it had little overall effect and cannot explain the very small differences between depressed and other areas. of insured unemployment by type of areat by industry, July 1956-June 1957 3 0 T a b l e 1 5 . —Duration and spells [See headnote on table 11] Percent distribution Duration Spells Duration Spells Industry Total Exhaus tions Total Less than 5 weeks 15 weeks or longer lonly 2 only 3 or more Exhaus tions Less than 5 weeks 15 weeks or longer 1 only 2 only 3 or more United States, total..................... 6,300 1,019 2,274 1,726 4,307 1,240 752 100.0 16.2 36.1 27.4 68.4 19.7 11.9 Mining:........ .......................... Construction........................ Manufacturing...................... Durable goods................ T ra n sp o rta tio n equipment............ All other................... Nondurable goods......... All other industries.............. 154 857 3,523 1,812 20 122 521 264 71 244 1,402 749 37 236 906 464 117 551 2,300 1,298 24 192 724 362 14 114 500 152 100.0 100.0 100.0 100.0 12.6 14.2 14.8 14.6 46.0 28.5 39.8 41.3 23.9 27.6 25.7 25.6 75.7 64.3 65.3 71.7 15.2 22.3 20.5 19.9 9.1 13.4 14.2 8.4 428 1,384 1,711 1,765 56 208 257 357 188 561 653 556 108 356 441 547 323 975 1,002 1,339 81 281 362 301 24 128 348 125 100.0 100.0 100.0 100.0 13.2 15.0 15.0 20.2 44.0 40.5 38.2 31.5 25.2 25.7 25.8 31.0 75.5 70.4 58.5 75.9 18.9 30.2 21.2 17.1 5.6 9.2 20.4 7.1 Depressed areas, total................. 908 158 316 265 599 192 117 100.0 17.4 34.7 29.2 66.0 21.2 12.8 Mining.................................... Construction. ....................... Manufacturing.................... Durable goods. ............. T ra n sp o rta tio n equipment........... All other................... Nondurable goods......... All other industries.............. 67 100 570 343 10 17 92 62 28 22 218 126 20 34 152 101 48 60 367 248 11 26 124 72 8 13 78 23 100.0 100.0 100.0 100.0 14.9 17.1 16.1 17.9 41.0 22.6 38.3 36.6 29.1 34.7 26.7 29.4 70.9 60.3 64.4 72.3 16.4 26.6 21.8 21.0 12.7 13.0 13.9 6.7 182 161 227 172 29 33 30 38 65 61 93 46 56 45 51 58 138 110 119 124 36 36 52 30 7 16 56 17 100.0 100.0 100.0 100.0 16.0 20.5 13.4 22.1 35.8 37.9 41.0 26.7 30.6 28.0 22.5 33.7 76.0 68.3 52.4 72.1 19.8 22.4 22.9 17.4 4.2 9.9 24.7 9.9 Other areas, total......................... 5,392 861~ 1,958 1,461 3,708 1,048 635 100.0 16.0 36.3 27.1 68.8 19.4 11.8 Mining..................... ............. Construction........................ Manufacturing...................... Durable goods................ T ra n sp o rta tio n equipment........... All other................. Nondurable goods......... All other industries.............. 87 757 2,953 1,469 10 105 429 202 43 222 1,184 623 17 202 754 363 69 491 1,933 1,050 13 166 600 290 6 101 422 129 100.0 100.0 100.0 100.0 11.5 13.9 14.5 13.8 49.4 29.3 40.1 42.4 19.5 26.7 25.5 24.7 79.3 64.9 65.5 71.5 14.9 21.9 20.3 19.7 6.9 13.3 14.3 8.8 246 1,223 1,484 1,593 27 175 227 319 123 500 560 510 52 311 390 489 185 865 883 1,215 45 245 310 271 17 112 292 108 100.0 100.0 100.0 100.0 11.0 14.3 15.3 20.0 50.0 40.9 37.7 32.0 21.1 25.4 26.3 30.7 75.2 70.7 59.5 76.3 18.3 20.0 20.9 17.0 6.9 9.2 19.7 6.8 TJNEMPLOTMENT I AREAS O SUBSTANTIAL LABOR SURPLUS N P Thousands of persons T a b l e 1 6 .—Duration and spells of insured unemployment by type of area, by occupation, July 1956-June 1957 [See headnote on table 11] Percent distribution Duration Spells Occupation Total Exhaus tions Duration Total Less than 5 weeks 15 weeks or longer 1only 3 or more 2 only 19.7 46 100.0 100.0 100.0 100.0 100.0 100.0 100.0 18.7 28.0 11.3 12.9 19.2 17.0 33.1 27.7 37.6 40.0 33.6 37.9 30.5 39.8 23.5 24.9 28.6 28.6 81.1 79.4 65.5 62.3 68.5 79.1 13.5 15.4 21.5 21.2 20.7 14.8 10.8 17.4 34.7 29.2 66.0 21.2 12.8 100.0 100.0 100.0 100.0 100.0 100.0 100.0 28.0 20.7 36.0 27.6 24.7 26.3 35.2 35.0 77.3 82.8 66.5 60.6 68.3 80.0 16.0 13.8 20.0 23.5 21.6 10.0 6.7 3.4 13.5 16.0 20.0 28.0 27.6 37.6 37.1 31.7 30.0 16.0 36.3 27.1 68.8 19.4 100.0 100.0 100.0 100.0 100.0 100.0 17.6 28.7 33.7 27.8 37.6 40.6 33.9 38.9 29.9 40.9 23.3 24.5 27.7 27.8 81.5 79.1 65.3 62.7 68.5 79.0 21.8 20.7 20.6 141 250 119 270 356 31 395 834 625 69 230 145 247 519 532 52 1,300 1,273 144 56 226 443 385 27 908~ 158~ 316~ 265 599 192 Professional and manage rial; clerical and sales____ Service..................................... Skilled..................................... Semiskilled............................. Unskilled................................ Entry and other................... 75 29 170 388 227 2 1 6 2 0 2 1 8 27 20 52 58 4 4 34 91 49 23 62 23 Other areas, total......................... 5,392 635 Professional and manage rial; clerical and sales____ Service..................................... Skilled..................................... Semiskilled....................... — Unskilled................................ Entry and other.................... 680 335 881 1,699 1,632 162 Depressed areas, total................. 1 2 6 80 7 58 24 113 235 155 16 861 1,958 1,461 3,708 1,048 10 2 229 93 331 690 553 63 203 137 205 417 452 45 554 265 575 1,065 1,118 128 90 52 192 352 336 25 96 99 218 298 27 64 144 72 8 12 0 42 2 2 1 134 340 21 0 1 0 117 5 1 2 41 2 0 11 1 278 178 8 11.8 13.4 25.6 11.2 12.8 18.3 16.7 13.2 15.5 15.4 6.1 5.8 12.7 16.3 5.5 10.1 10.0 11.8 6.0 6.0 12.6 16.4 10.9 4.9 31 12 0 11.9 I AREAS O SUBSTANTIAL LABOR SURPLUS N P 68.4 755 364 1,051 2,087 1,859 182 612 289 3 or more 27.4 1,726 68 8 2only 36.1 2,274 11 0 1only 16.2 1,019 12 0 15 weeks or longer 100.0 6,300 Professional and manage rial; clerical and sales____ Service.................................... Skilled..................................... Semiskilled............................. Unskilled................................ Entry and other................... 1,240 Less than 5 weeks Spells 752 United States, total..................... 4,307 Exhaus tions UNEMPLOYMENT Thousands of persons 32 UNEMPLOYMENT IN AREAS OF SUBSTANTIAL LABOR SURPLUS Statistics on the number of spells of insured unemployment also showed little overall difference between chronically depressed and other areas. Altogether, 34 percent of the insured unemployed in depressed areas had more than one spell including 13 percent who had three or more spells. The comparable figures for other areas were 31 percent and 12 percent. Both in construction and in the auto industry, longer cumulative duration in chronically depressed areas did not result from a greater number of separate spells but rather from the longer duration of each individual spell. P t of ercen In re Ue p y d su d n mlo e 10 0 Distressed Areas 90 Other Areas 70 60 60 30 30 20 20 1 0 SK ILLED B E LU COLLAR OCCUPATIONS SEM I-SKILLED B E COLLAR LU OCCUPATIONS 33 W HITE COLLAR OCCUPATIONS U IT OT T S TESR E T F A O N U AE T I S BRAOFLBRSAPTCMN O L B R UEE S AO D IA T UNEMPLOYM ENT I A E S O SU N RA F BSTAN TIAL L B R SU P U AO RL S P t of ercen Inue Ue p y d s r d nmlo e 1 0 --------0 Chart 5. Occupational Distribution of the Insured Unemployed in Distressed and Other Areas: July 1956 to June 1957 34 UNEMPLOYMENT IN AREAS OF SUBSTANTIAL LABOR SURPLUS A p p e n d i x t o P a r t II L ist o f M a j o r A r e a s Id e n t i f i e d a s C h r o n i c a l l y D e p r e s s e d Indiana: Evansville Terre Haute Massachusetts: Fall River Lawrence Lowell Michigan: Detroit Flint Grand Rapids Lansing Muskegon-Muskegon Heights New Jersey: Atlantic City North Carolina: Asheville Durham Pennsylvania: Altoona Johnstown Scranton Wilkes-Barre-Hazelton Rhode Island: Providence Tennessee: Knoxville West Virginia: Charleston Wisconsin: Kenosha SAMPLING ERRORS FOR ESTIMATES OF CHARACTERISTICS OF THE INSURED UNEMPLOYED FROM THE 0.2 PERCENT SAMPLE Below are given the approximate sampling errors for various esti mates obtained from the 0.2 percent sample of all persons terminating a spell of insured unemployment in the United States during the July 1956-June 1957 report periods. These sampling errors also apply to the estimates obtained for the depressed areas. The sampling errors shown are for the 68 percent level of confi dence. Doubling these percents gives the sampling variability for a 95 percent confidence level. Where estimates are for subtotals, the sampling errors will tend to be overstated. The approximate sampling error in percentage terms For an estimate of— 1,000_________ 5.00 0 10.00 0 50.00 0 100.00 0 — Sampling error (percent) For an estimate of— Con. _____ _____ ____ ____ _____ 70 31 22 10 7 Sampling error (percent) 250.00 0 500.00 0 4. 4 3. 4 1,000,000.____ _________ 2.0 2.500.00 0 5,000,000___________________ .5 .5