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mr MONTHLY LABOR REVIEW In this issue: U.S. Department of Labor Bureau of Labor Statistics April 1980 Two articles about Frances Perkins A look at the distribution of earned income An evaluation of labor force statistics https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis U.S. DEPARTMENT OF LABOR Ray Marshall, Secretary BUREAU OF LABOR STATISTICS Janet L. Norwood, Commissioner The Monthly Labor Review is published by the Bureau of Labor Statistics of the U.S. Department of Labor. Communications on editorial matters should be addressed to the Editor-in-Chief, Monthly Labor Review, Bureau of Labor Statistics, Washington, D.C. 20212. Phone: (202) 523-1327. Subscription price per year — $18 domestic; $22.50 foreign. Single copy $2.50. Subscription prices and distribution policies for the Monthly Labor Review (ISSN 0098-0818) and other Government publications are set by the Government Printing Office, an agency of the U.S. Congress. Send correspondence on circulation and subscription matters (including address changes) to: Superintendent of Documents, Government Printing Office, Washington, D.C. 20402 Make checks payable to Superintendent of Documents. The Secretary of Labor has determined that the publication of this periodical is necessary in the transaction of the public business required by law of this Department. Use of funds for printing this periodical has been approved by the Director of the Office of Management and Budget through October 31, 1982. Second-class postage paid at Riverdale, MD., and at additional mailing offices. Library of Congress Catalog Card Number 15-26485 Regional Commissioners for Bureau of Labor Statistics Region I — Boston: Wendell D. Macdonald 1603 JFK Federal Building, Government Center, Boston, Mass. 02203 Phone: (617) 223-6761 Connecticut Maine Massachusetts New Hampshire Rhode Island Vermont Region II — New York: Samuel M. Ehrenhalt 1515 Broadway, Suite 3400, New York, N.Y. 10036 Phone: (212) 944-3121 New Jersey New York Puerto Rico Virgin Islands Region III — Philadelphia: Alvin /. Marguhs 3535 Market Street P.O. Box 13309, Philadelphia, Pa. 19101 Phone: (215) 596 -11 54 Delaware District of Columbia Maryland Pennsylvania Virginia West Virginia Region IV — Atlanta: Donald M. Cruse 1371 Peachtree Street, N.E., Atlanta, Ga. 30309 Phone: (404) 881 -4418 Alabama Florida Georgia Kentucky Mississippi North Carolina South Carolina Tennessee Region V — Chicago: William E Rice 9th Floor, Federal Office Building, 230 S. Dearborn Street, Chicago, III. 60604 Phone: (312) 353 -18 80 Illinois Indiana Michigan Minnesota Ohio Wisconsin Region VI — Dallas: Bryan Richey Second Floor, 555 Griffin Square Building, Dallas, Tex. 75202 P hone:(214)767-6971 Arkansas Louisiana New Mexico Oklahoma Texas Regions VII and VIII — Kansas City: Elliott A. Browar 911 Walnut Street, Kansas City, Mo. 64106 Phone: (816) 374-2481 VII Iowa Kansas Missouri Nebraska VIII Colorado Montana North Dakota South Dakota Utah Wyoming April covers: Commemorative stamp honoring Frances Perkins, the first woman to serve as a member of a U.S. Presidential cabinet. The stamp, issued on the 100th anniversary of Frances Perkins' birth, was designed by F. R. Petrie of Rutherford, N.J. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Regions IX and X — San Francisco: D. Bruce Hanchett 450 Golden Gate Avenue, Box 36017, San Francisco, Calif. 94102 Phone: (415) 556 -46 78 IX American Samoa Arizona California Guam Hawaii Nevada Trust Territory of the Pacific Islands X Alaska Idaho Oregon Washington 4 MONTHLY LABOR REVIEW APRIL 1980 VOLUME 103, NUMBER 4 Henry Lowenstern, Editor-in-Chief Robert W. Fisher, Executive Editor Peter Henle, Paul Ryscavage 3 The distribution of earnings among men and women, 1958-77 The trend toward an increasing disparity in earnings among men appeared to slow in recent years, while the more unequal distribution among women remained stable Robert L. Stein 11 National Commission’s recommendations on labor force statistics Congressionally mandated panel finds the U.S. system of statistics on employment fundamentally sound but recommends significant expansions and refinements of data Joseph P. Goldberg 22 Frances Perkins, Isador Lubin, and the Bureau of Labor Statistics As head of BLS, Isador Lubin worked closely with Secretary of Labor Frances Perkins to meet the urgent need for data on Depression-era employment and unemployment Henry P. Guzda 31 Frances Perkins’ interest in a new deal for blacks The black-oriented programs of the Nation’s first female Cabinet member may seem modest by today’s standards, but she made the welfare of blacks a priority of her agency Virginia A. Chupp 36 Changes in unemployment insurance legislation during 1979 Concern for financing of unemployment insurance payments was evident last year; changes generally involved extending disqualification periods and restricting eligibility REPORTS Benjamin W. Wolkinson Beverly L. Johnson Charles N. Weaver Howard Davis https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 41 48 53 54 Arbitration and the rights of mentally handicapped workers Marital and family characteristics of the labor force, March 1979 Workers ’ expectations about losing and replacing their jobs Hours and earnings of nonsupervisory workers, 1968-78 DEPARTMENTS 2 41 50 53 57 59 61 64 69 Labor month in review Communications Special labor force reports— summaries Research summaries Significant decisions in labor cases Major agreements expiring next month Developments in industrial relations Book reviews Current labor statistics Labor M onth In Review FRANCES PERKINS. The 100th anni versary o f the birth of Frances Perkins is being marked this month by the is suance o f a postage stamp bearing her likeness and by the naming in her honor of the building housing the U.S. Department o f Labor. Several articles and other features in this issue of the Monthly Labor Review describe the life and work of Frances Perkins. Her important contributions also are re counted in a Labor Department book let marking the dedication o f the Frances Perkins Building. Excerpts: Questions for FDR. Before Frances Perkins would accept the Cabinet ap pointment as Secretary o f Labor, she told President-elect Franklin Delano Roosevelt, “I don’t want to say yes to you unless you know what I’d like to do and are willing to have me go ahead and try.” She then read Roosevelt her list. It contained much of what would become the New Deal’s most impor tant social welfare and labor legisla tion: direct Federal aid to the States for unemployment relief, public works, maximum hours, minimum wages, child labor laws, unemploy ment insurance, social security, and a revitalized public employment service. “Are you sure you want these things done?” she asked. “Because you don’t want me for Secretary o f Labor if you don’t.” Roosevelt never hesitated. He was convinced that the capable and strongminded woman in his study was the most qualified person for the job. “Yes,” he said. “HI back you.” With that, Perkins immediately accepted the post and served as Secretary o f Labor the entire 12 years of the Roosevelt Administration. She was the first woman ever to serve as a Cabinet member and she served longer than any other Secretary o f Labor. 2 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Social security. The Social Security Act o f 1935 was probably the most enduring contribution Perkins made as a Government official. As a member of the Committee on Economic Security, she worked tirelessly to create a prac tical social security program which could both pass the Congress and help the people. She made hundreds of speeches supporting social security. Its enactment, on August 14, 1935, helped change the economic and social structure of American life. Her belief that working people had a right to benefits during unemployment and in their old age was made the law of the land by this act. Perkins’ determi nation helped workers secure a more equitable place on the social scale. Her leadership, and the dedicated work of many others, helped remove the threat o f starvation, eviction, and destitution from every worker’s doorstep. Fair labor standards. If social security was Frances Perkins’ pride, the Fair Labor Standards Act must have been her joy. She had long advocated mini mum wage and maximum hour legis lation. The collapse of labor standards during the Depression made some type o f Government action imperative. Many among Roosevelt’s advisers were uncertain of the constitutionality of Federal labor standards legislation. To lay the groundwork for Federal stand ards she believed inevitable, Perkins instructed the Labor Department to work with State governments to create a body o f consistent laws and stand ards. She set up a Division of Labor Standards and was the first Labor Sec retary to show real interest and con cern for State labor agencies. She always tried to attend meetings with state representatives and considered these sessions very useful in develop ing workers’ compensation and safety and health standards. During his 1936 campaign for reelection, Roosevelt promised to sup port a Federal labor standards bill. The measure passed the Senate but died in the House Rules Committee. Perkins and Roosevelt would not let it rest in peace. Compromises were made and pressure was applied. The Fair Labor Standards Act finally be came law on June 25,1938. The role of States. The social legis lation of the 1930’s forever changed the position of the American worker in society. While the Federal Govern ment was often instrumental in creat ing these laws and indispensable for putting them into operation, Perkins often advocated more involvement for the individual States. She believed that programs such as unemployment insur ance should be administered by a Federal-State system. At the National Conference for Labor Legislation in February 1934, she said: “The fund amental power to make regulations with regard to welfare . . . lies with the sovereign States.” While many New Dealers have been seen as “big govern ment” people, Perkins rarely favored the Federal Government dictating or making policy for the States. The closer decisionmaking was to the people, the better Perkins liked it. The Perkins legacy. Perkins, indeed, had become an important historical figure. Yet with all her accomplish ments, she never lost the basic quali ties that made her an extraordinary person: her courage, her vibrant per sonality, her gift for friendship, her sense of propriety and privacy, and her deep religious spirit. These qualities formed the core ot her character and they touched everyone she knew as well as the millions of people un known to her for whom she worked throughout her life. □ The distribution of earned income among men and women, 1958-77 The trend toward greater earnings inequality for men continued, but appeared to slow in recent years; the more unequal distribution for women remained stable, probably reflecting limited occupational advances P eter H en le and Pa u l R y scavag e The distribution of income continues to be a lively topic for public policy as well as academic debate. While few, if any, officials have embraced income redistribution as a goal of public policy, many legislative and administra tive measures have, in fact, altered income distribution. The extent of such redistribution often becomes a major factor underlying the resolution of tax, welfare, and other economic policy questions. As one example, the 1977 congressional rejection of practically all President Carter’s proposals for tax reform reflected a quite dif ferent attitude toward income distribution than the atti tudes underlying the antipoverty programs of the 1960’s. A 1972 article explored the distribution of earned in come (wages, salaries, and self-employment earnings) for men during 1958-70.1That study found “a slow but persistent trend toward greater inequality” both for all male earners and for those working full time year round. Various possible explanations for such a trend were discussed, including the changing age composition of the population, the changing structural characteris tics of jobs, and differential changes in the rates of com pensation. The current effort extends the earlier work in several Peter Henle recently retired as Deputy Assistant Secretary for Policy, Evaluation, and Research, U.S. Department of Labor. Paul Ryscavage is an economist in the Office of Current Employment Analysis, Bureau of Labor Statistics. Views expressed in this article are not necessarily those of the Department of Labor. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis ways. First, the data have been carried forward to 1977. This permits a broader perspective to test the trends identified from 1958-70 data. Second, data for women are included for the first time, allowing a comparison of earnings distribution trends by sex. And third, more re cent contributions to the literature are reviewed to de termine whether they have added to the earlier analy sis.2 As in the earlier case, this study utilizes the Gini index as a shorthand method of describing the shape of earnings distribution.3 Although it may have some sta tistical limitations, it still seems a useful way to identify the degree of equality at any one time and track chang es in distribution over several years. The primary data used here are annual earnings reported to the Census Bureau by members of a nationwide sample of house holds (Current Population Survey). The current data in corporate various improvements in methodology, with the result that the 1958-70 Gini indexes utilized in the earlier article have been revised.4 Values are for money income only, and no effort was made to include any es timate for fringe benefits not reflected in earnings, such as employer expenditures for health, welfare, and retire ment plans. The article will focus first on the new and revised data for men; a discussion of the new data for women will follow. Earnings distribution of men The basic structure of the earnings distribution noted in the 1972 article still holds. For example, the distribu3 MONTHLY LABOR REVIEW April 1980 • Earnings Distribution by Sex tion of wages and salaries is more equal than the distri bution of all reported earnings. This follows from the fact that the self-employed include major concentrations at both the low and the high end of the distribution — low-earning proprietors of small retail and service estab lishments and high-earning professionals and busi nessmen. In a somewhat similar way, the distribution for year-round full-time workers is more equal than the distribution for all workers, because the inclusion of the part-time and part-year workers adds a large group of low-income earners to the distribution. The “slow but persistent” trend toward inequality, previously noted for the years 1958-70, is still evident, although a 20-year perspective yields somewhat different insights. As shown in table 1, the trend towards in equality for the most inclusive series (all earners) con tinued steadily until 1977. A similar trend is evident for all male wage and salary workers. For both series, the 1968-73 period appears to show the greatest shift to ward inequality, with the trend somewhat less marked before and after this period. For year-round full-time workers, the figures indicate either no trend at all (all earners) or a slightly more modest trend toward in equality (wage and salary workers). These data, of course, pertain to broad aggregates Table 1. Gini indexes of all earnings and wages and salaries among men, 1958-77 All earners Item and year Wage and salary earners Total Yearround fulMime Total Yearround full-time Workers, 1977 (in thousands) . . 61,704 39,263 47,473 34,128 Median Income, 1977 ......... $11,037 $14,626 $12,439 $14,902 .399 .398 .411 .419 .410 .406 .406 .315 .318 .325 .329 .318 .310 .315 .406 .409 .410 .417 .423 .428 .431 .427 .429 .433 .434 .438 .439 .312 .315 .313 .306 .310 .311 .321 .314 .319 .315 .311 .317 .318 .327 .324 .337 .343 .336 .336 .336 .334 .342 .335 .337 .344 .350 .357 .365 .360 359 .361 .367 .371 .374 ’ .254 ’ .262 ’ .275 ’ .274 ’ .270 ’ .270 ' .275 ’ .276 ’ .281 .274 .273 .272 .278 .281 .287 .283 .286 .281 .282 .284 .287 Gini index: 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1974 1975 1976 1977 ................................. ................................. ................................. ................................. ................................. ................................. ................................. ................................. ................................. ................................. ................................. ................................. ................................. ................................. ................................. ................................. ................................. ................................. ................................. ................................. ................................. ’ Gini indexes for year-round full-time wage and salary workers, 1958-66, appeared in the earlier article (see text footnote 1), and were not recomputed when changes were made in the way the Gini indexes were calculated by the Census Bureau (see text footnote 4 for information on these changes). ' = revised: The 1974 income data were revised because of changes in the procedures used in collecting and processing the data. See text footnote 4 for more details. NOTE: Data on earnings apply to all individuals with earnings in the specified year. Data on wages and salaries apply to all individuals employed in March of the following year who received wages or salaries in the specified year. 4 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis and all classes of earners. Perhaps more revealing are the data for occupational and industry groups, shown in table 2. The trend toward inequality among male woiKers in specific occupations and industries is even more evident. To assist in this analysis, a simple time series regression of the annual Gini indexes was utilized; the results are shown in tables 3 and 4. Of the 10 major occupational groups, eight (manag ers and farm laborers are the exception) show a distinct trend toward inequality among all earners during 1958— 77. Among year-round full-time workers, managers and farm laborers show a trend towards equality, profes sional workers and nonfarm laborers show an uncertain trend, but all the remaining occupational groups show a trend towards inequality. Increasing inequality is pro nounced among blue-collar groups such as craftworkers and operatives. Clerical and sales (white-collar) occupa tions show an equally distinct trend toward inequality since 1958, but for clerical workers the annual data in dicate less change during recent years. When the data are grouped by industry, the results are similar; but industry data are available only for wage and salary workers. Moreover, for year-round full time workers, data are available only from 1967, al though these data were viewed along with the 1958-70 data available for the earlier article (based on an alloca tion method no longer utilized by the Census Bureau). As shown in table 4, industry data for all wage and salary earners also display a definite trend toward in equality. The trend is especially marked for construc tion, manufacturing, transportation, trade, finance, most of the service industries, and public administration. As expected, data for all workers show a more definitive trend than the results for year-round full-time workers. Focusing on the latter group, both agriculture and min ing show a trend toward equality. For the transporta tion, retail trade, and finance groups and for public administration, a statistically significant trend toward inequality is clear, but for the remaining industries little trend is indicated. Earlier factors less significant The 1972 article reviewed various postwar develop ments that may have contributed to the trend towards inequality of earnings. Three types of factors were ex amined: changes in the personal characteristics of earn ers that might affect their earnings ability, chiefly age and schooling; changes in the characteristics of jobs that might affect the earnings ability of the jobholders; and changes in the rates of compensation in various oc cupations and industries that might affect differently jobs at various points in the earnings distribution. The earlier analysis identified four specific develop ments that may have contributed to the trend towards inequality: the growing importance of voluntary part- Table 2. years Gini indexes of earnings among men, by occupation (all earners) and industry (wage and salary earners), selected Workers, 1977 (In thousands) Median income, 1977 1958 1970 1974 1974' 1975 1976 1977 Total, all earners................................................. 61,704 11,037 0.399 0.423 0429 0.433 0.434 0.438 0.439 Professional and technical ............................................ Salaried.................................................................. Farmers and farm managers ........................................ Managers ....................................................................... Salaried.................................................................. Clerical workers ............................................................ Salesworkers ................................................................ Craftworkers.................................................................. Operatives ..................................................................... Service workers.............................................................. Farm laborers ; .............................................................. Nonfarm laborers............................................................ 8,546 7,709 1,376 8,193 6,702 3,625 3,701 12,337 10,737 6,102 1,421 5,585 16,212 15,967 4,317 16,850 17,803 10,822 11,685 12,313 10,066 5,077 1,998 4,566 .353 .303 .531 .386 .318 .274 .433 .260 297 .375 .560 .419 .366 .327 .558 .379 .344 .346 .460 .275 .313 .467 .606 .496 .372 345 .608 .393 .372 .360 .464 .298 .340 .487 .602 .500 .380 .343 598 .361 .341 .355 .460 297 .341 .495 .574 .499 .381 .348 592 .369 .344 .359 .474 .309 .346 .499 .580 .494 .391 .358 .615 .367 .335 .361 .473 .312 .352 .498 .580 .517 .378 .347 .604 .368 .338 .363 .486 .321 .364 .511 .564 .499 Total, wage and salary earners ........................ 47,473 12,439 0.327 0.350 0.359 0.361 0.367 0.371 0.374 Agriculture ..................................................................... Mining............................................................................. Construction .................................................................. Manufacturing ................................................................ Transportation, communication, and public utilities . . . . Wholesale trade ............................................................ Retail tra d e ..................................................................... Finance........................................................................... Business services ......................................................... Personal services ......................................................... Entertainment and recreation ........................................ Professional service....................................................... Public administration ..................................................... 1,041 643 4,038 14,126 4,344 2,454 6,696 2,078 1,808 742 487 5,750 3,268 5,488 15,096 11,622 13,451 15,082 14,249 7,735 14,662 10,046 5,564 8,556 12,374 15,434 .485 .274 .319 .294 .233 .325 .364 .347 .330 .463 .474 .381 .220 .494 .284 .335 300 .273 .348 .434 .362 .404 .463 .499 .405 .252 .449 .273 .331 298 .289 .368 .446 .406 .412 .517 .503 .392 .291 .455 .270 .336 298 .287 .355 .454 .401 .390 .503 .506 .405 .270 .476 .284 .363 .304 .287 .362 .446 .396 .439 .501 .478 .422 .281 468 284 .373 .316 .287 .352 .452 405 .434 .495 .507 .417 .247 .466 .281 .361 .313 .297 .367 .461 397 .426 .530 .504 .415 .263 Item Gini indexes OCCUPATION INDUSTRY r=revised: The 1974 income data were revised because of changes in the procedures used in collecting and processing the data. See text footnote 4 for more details. time work; the increasing flow of young people into the labor force, many of them with low earnings; the changing occupational structure—more specifically the growing importance of highly paid professional and managerial personnel; and the pattern of increases in earnings which, in many instances, has meant higher in creases in rates of pay for the higher earning occupa tions. The result of these four developments in the 1958-70 period, it was concluded, was an increased proportion of earners at the lowest and highest end of the income scale. These developments continued to operate during the 1970’s, but in several respects it would appear that they were less significant, particularly in more recent years: 1. The rate at which young people have entered the labor market has slowed dramatically, reflecting the re duction in birth rates which took place beginning in the late 1950’s. From 1958 to 1968, the number of young men age 16 to 19 in the civilian labor force increased at an annual rate of 4.2 percent. During 1968-73, the rate rose to 4.9 percent before dropping to 1.7 percent in the 1973-77 period. 2. The increase in voluntary part-time earners among men has also slowed considerably. From 1963 (the earliest year for which data are available) to 1973, https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis the annual rate of increase was 4.3 percent, slowing to 2.1 percent for 1973-77. 3. Changes in the occupational mix from blue collar to white collar also have not occurred with the same ra pidity. For example, professional and technical occupa tions accounted for 10.4 percent of male employees in 1958, increasing substantially to 14.0 percent in 1970, but further increasing to only 14.6 percent in 1977. Table 3. Regression results of Gini indexes for the earnings of men, by occupation, 1958-77 All earners Occupation Total ............. Professional and technical workers . . Farmers and farm managers ............. Managers .................. Clerical ...................... Salesworkers............. Craftworkers............. Operatives.................. Service workers......... Farm laborers ........... Nonfarm laborers . . . . Trend t statistic coefficient 0.0020 ’ 8.50 Full-time year-round earners R2 0.810 Trend t statistic coefficient -.0003 -1 359 R2 0.098 .0021 '6.79 .730 0006 22.111 .208 .0044 -.0016 .0046 .0020 .0030 .0032 0068 .0008 .0044 15.49 ' -3.23 ' 13.35 '4.15 18 54 '9 89 120 69 1.63 18.07 .640 .381 .913 .503 .811 852 .962 .135 .792 0040 -.0023 .0017 .0024 .0019 .0011 0014 - 0040 0008 ’ 4.495 ' -4.851 16 29 ’ 4.33 ’ 8 37 ’ 3 38 ’ 3.54 1 -5.41 22 48 .543 .581 .700 525 .805 402 424 633 .267 1Statistically significant at the 1-percent level. 2 Statistically significant at the 5-percent level. 5 MONTHLY LABOR REVIEW April 1980 • Earnings Distribution by Sex 4. Increases in earnings have also been less dramatic among the higher paid occupations and industries. Dur ing 1958-70, the only occupational groups with higher than average earnings increases were both the profes sional and the managerial groups. During 1970-77, these groups showed below-average increases with higher increases recorded by laborers, semiskilled work ers, and salesworkers. For these reasons, it does not appear surprising that although the trend over the postwar period continues to point toward greater inequality, the movement in that direction has slowed in more recent years. Special mention might be made of the two industries — agriculture and mining—in which the data for men show a trend toward greater equality. In both cases, special factors seem to be at work. In agriculture, the number of farmers and the farm work force continues to decline slowly, with the drop concentrated among the lower income farm group. Wages for farm laborers have increased quite substantially, with the minimum wage for agricultural workers rising more sharply than the basic minimum, as farm production becomes in creasingly mechanized. Thus, it seems likely that the proportion of earners with low annual earnings has de clined, helping to provide a more equal distribution. In mining, which includes not only coal, metal, and nonmetallic mining, but also oil and gas extraction, the prosperity of both the coal mining and the oil and gas segments of the industry has certainly helped to raise earnings of workers in these industries. Because these two prosperous segments account for two-thirds of all mining employees, they may have been significant in producing greater equality of earnings. Table 4. Regression results of Gini indexes for wage and salary income of men, by industry, 1958-77 Wage and salary earners Industry Total ........... Agriculture, forestry, and fisheries . . . . Mining...................... Construction ........... Manufacturing......... Transportation, com munications, and public utilities . . . . Wholesale trade . .. Retail tra d e ............. Finance, Insurance, and real estate .. Business and repair service ............... Personal services .. Entertainment and recreational services............... Professional services Public administration Trend t statistic coefficient .0024 R2 Full-time year-round earners Trend t statistic coefficient R2 1 10.04 .849 0.0011 16 30 - .0004 .0014 .0016 .0010 -.840 -1.768 ’ 3.395 14.182 .038 .148 .390 .492 -.0023 -.0013 .0009 .0003 ’ -2.990 2 -2.141 1.903 2 035 .3318 .2030 .1674 .1870 .0026 .0017 .0043 ' 9.262 13.974 112.839 .827 .467 .902 .0015 .0010 .0016 ’ 3.732 1.754 ’ 3.971 .4362 .146 .467 .0027 16.070 .672 .0016 ’ 3.310 .378 .0042 .0035 ’ 6.109 13.184 .675 .360 .0016 .0018 1 825 1.364 .156 .094 .0020 .0025 .0026 1.353 ’ 6.262 ’ 5.604 092 .685 .636 .0010 .0001 .0045 .590 .231 2 2.580 ’ Statistically significant at the 1-percent level. 2 Statistically significant at the 5-percent level. 6 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 0.688 .019 0029 .2687 Table 5. Gini indexes of all earnings and wages and salaries among women, 1958-77 All earners Item Total Yearround fulkime Wage and salary earners Total Yearround fulkime Workers, 1977 (In thousands) ............... 46,194 19,238 34,503 17,736 Median Income, 1977. . . $4,674 $8,618 $5,986 $8,733 .466 .470 .465 .480 .470 .468 .468 .264 .264 .257 .284 .277 .273 .270 .462 .463 .460 .476 .483 .475 .475 .478 .471 .470 .467 .469 .466 .276 .287 .279 .266 .272 .266 .268 .268 .271 .249 .258 .259 .260 389 .385 .384 .399 .393 .396 .391 .396 .392 .395 .390 .395 .402 .400 .403 .404 .395 .395 .400 .401 .399 .264 .256 .246 .255 .251 .252 .254 .252 .237 .245 .245' .245 Gini index: 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1974’ 1975 1976 1977 ................................. ...................... ........... ................................. ................................. ................................. ................................. ................................. ................................. ................................. ................................. ................................. ................................. ................................. ................................. ................................. ................................. ................................. ................................. ................................. ................................. ................................. r = revised: The 1974 income data were revised because of changes in the procedures used in collecting and processing the income data. See text footnote 4 for more details. NOTE: Data on earnings apply to all individuals with earnings in the specified year. Data on wages and salaries apply to all individuals employed in March of the following year who received wages or salaries in the specified year. Earnings distribution of women The earnings distribution of women is significantly dif ferent from that of men. There are relatively more low earners and fewer high earners among women, and as a result the median earnings of women (table 5) is sub stantially lower than the median earnings of men (table 1). Large earnings differences also exist between men and women both as full-time year-round workers and as wage and salary workers. These earnings differences have been the subject of much research in recent years, and a large literature has developed.5 Researchers have pointed to a number of factors responsible for the earnings gap: women are more likely than men to work part time because of their childbearing and childrearing responsibilities and be cause of their greater chances of experiencing unemploy ment; many women, because of their shorter work histories, lack the necessary job skills, or human capi tal, to compete successfully with men in the job market; and women are more frequently discriminated against in their attempts to move up the career ladder. The basic structure of women’s earnings distribution is somewhat more unequal than the earnings distribu tion of men. This greater inequality can be traced to the tendency among women — whether voluntarily or invol untarily—to work only part time and part year. For ex ample, in 1977, nearly 60 percent of all female earners Table 6. Distribution of all earnings among women, by occupation, 1977 Percent share of aggregate earnings Workers (In thousands) Median income Gini index ..................................................... 46,194 $4,674 .466 1.9 Professional and technical w o rk e rs .................. Salaried..................................................... Farmers and farm managers .......................... Managers .......................................................... 6,826 6,487 93 2,620 9,161 9,453 758 7,817 .376 .355 .666 .417 Occupational group Tota Middle fifth Fourth fifth Highest fifth Top 5 percent 7.5 16.4 27.0 47.3 16.8 2.8 3.3 1.4 2.6 11.2 12.0 3.9 10.5 19.9 20.2 6.5 17.9 26.5 26.4 15.4 25.0 39.6 38.1 72.7 44.1 13.7 12.6 30.0 17.1 Lowest fifth Second fifth Salaried..................................................... 2,214 8,391 .373 4.0 12.0 18.0 24.6 41.4 15.4 Clerical workers .............................................. Salesworkers ................................................... Craftworkers..................................................... Operatives ....................................................... 15,095 3,281 761 5,421 6,053 2,425 5,600 5,109 .383 .540 .434 .375 2.9 1.9 2.4 3.5 10.7 6.0 9.0 11.2 19.3 12.9 17.4 18.8 26.7 23.0 26.2 26.1 40.4 56.2 45.0 40.4 13.3 23.7 16.2 13.6 Service workers................................................. Farm la borers................................................... Nonfarm laborers.............................................. 8,996 501 588 2,463 849 2,857 .490 .528 .504 2.1 2.4 1.6 6.8 7.1 5.1 14.7 11.8 14.4 26.0 22.3 29.6 50.4 56.5 49.3 18.2 22.2 16.5 ' worked less than year round, full time, compared to only 36 percent of all male earners. The greater preva lence of women who work full time and part time, off and on during the year, produces a greater variation in their earnings distribution relative to men. The earnings of women who work year round in full time jobs, however, are distributed more equally than the comparable distributions for men. This may occur because full-time year-round female earners tend to be clustered in a few occupations, where the range of earn ings is not very great. (For example, in 1977, 39 percent of all female earners working full time, year round were in clerical occupations, and the Gini index for women in this occupation was only .204.) The degree of earnings inequality varied considerably by the occupations and industries in which women worked. The most unequal earnings distributions for women in 1977 were found in the service, sales, and un skilled occupations (table 6). These occupations are ma jor entry occupations for young women, and earnings are generally low. Occupations with the most equality Table 7. —more equal than the overall distribution— were the clerical, semiskilled, managerial, and professional occu pations. Among the major industries in which female wage and salary workers were employed in 1977, the most unequal earnings distributions were in retail trade, business and personal services, agriculture, forestry, and fisheries, and entertainment and recreation services (ta ble 7). The most equal distributions were observed in manufacturing, finance, insurance, and real estate, trans portation, communication, and public utilities, and pub lic administration. Evenly distributed gains As shown earlier, there has been a trend toward greater earnings inequality among men during 1958-77, although it weakened to some extent during 1970-77. An obvious question is what was happening to the earnings distributions of women over these years. In the aggregate, the distribution of women’s earn ings remained about as unequal in the 1970’s as it was in the 1960’s and in the late 1950’s. (See chart 1.) In Distribution of wage and salary earnings among women, by industry, 1977 Percent share of aggregate wage and salary earnings Workers (In thousands) Median income Gini index Tota: ..................................................... 34,503 $5,986 Agriculture, forestry, and fisheries.................... Mining................................................................ Construction ..................................................... Manufacturing ................................................... 258 75 298 6,117 Transportation, communications, and public utilities............................................................ Wholesale trade .............................................. Retail tra d e ....................................................... Finance.............................................................. Business services ............................................ Personal services ............................................ Entertainment and recreational services........... Professional services........................................ Public administration ........................................ Industry https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Lowest fifth Second fifth Middle fifth Fourth fifth Highest fifth Top 5 percent .399 3.1 10.3 18.0 26.1 42.4 14.6 2,781 9,408 6,748 6,947 .549 .329 .359 .314 1.7 7.0 4.4 5.6 5.9 13.6 11.8 13.7 12.5 17.6 18.8 18.9 24.4 21.6 25.3 24.7 55.6 40.1 39.7 37.1 26.0 24.1 14.2 12.4 1,349 815 6,444 2,676 844 9,047 7,337 3,664 7,319 5,429 .319 .352 .434 .317 .426 5.0 4.6 3.0 5.5 2.4 13.3 12.6 9.3 14.1 9.3 19.8 18.8 16.4 18.9 17.9 25.3 24.3 25.4 24.0 26.2 36.6 39.7 45.9 37.6 44.2 12.4 15.2 16.7 13.6 16.2 2,366 282 11,331 1,648 1,817 4,327 6,685 8,551 .532 .484 .383 .328 1.9 2.7 3.6 4.9 5.6 7.4 10.9 13.5 12.6 14.5 18.2 19.0 25.5 25.2 26.2 24.9 54.5 50.2 41.2 37.8 20.6 20.8 13.9 12.8 7 MONTHLY LABOR REVIEW April 1980 • Earnings Distribution by Sex other words, there was no positive or negative trend in the Gini indexes over these 2 decades. (See table 5.) Furthermore, the Gini indexes for those women with steady year-round employment indicate neither a posi tive nor a negative trend in earnings inequality since 1958. Among women wage and salary earners, there was some slight evidence of a movement towards greater earnings inequality, especially between 1958 and 1970 (table 5). However, this trend was certainly not as strong as that exhibited by men over the same period. Somewhat more puzzling are the Gini indexes for the full-time year-round wage and salary workers—a series that only begins in 1967. According to these data, there has been a gradual trend towards greater earnings equality between 1967 and 1977, but here, too, the trend is not a very strong one. So, the Gini indexes for these aggregate earnings distributions of women indi cate neither strong positive nor negative trends in earn ings inequality. The picture is also mixed when the earnings distri butions of women in the various occupations and indus tries are examined. In the clerical and sales occupations, for example, earnings distributions have tended towards greater inequality, and this applies even in the case of full-time year-round workers (table 8). On the other 8 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis hand, there is an indication of a movement towards greater equality in the earnings distributions of women working full time, year round in professional, manageri al, and service occupations. Among the industries in which women are employed, a movement towards greater earnings inequality was seen in manufacturing, transportation, communication, and public utilities, re tail trade, finance, insurance, and real estate, business and personal services, and public administration (table 9). However, the wage and salary earnings distributions for women who work full time, year round in these in dustries provide little evidence of any trend toward ei ther equality or inequality, except in the professional service industry (toward equality) and in public admin istration (toward inequality). How is the lack of any significant trend in earnings inequality for women reconciled with the general trend towards inequality for men? Certainly, the number of young, part-time female workers has grown rapidly in the last 20 years, and an increasing number of women have been employed in higher paying white-collar occu pations. These factors should have created greater earn ings variation, resulting in greater earnings inequality, just as in the case of men. Although the data indicate a trend toward earnings inequality for certain occupations and industries, other sectors show an opposite trend, with no overall trend evident. A careful review of the women’s and men’s earnings distributions in 1958 and 1977, although not providing an answer to the above question, did produce some in teresting statistics. The following tabulation shows the earnings of men and women at various percentiles of the distributions in 1958 and 1977: Distribution percentiles 20th Women: 1958 .................. 1977 .................. Percent change .. $ 379 1,109 192.6 40th 60th 80th $ 1,062 $ 2,152 $ 3,324 3,241 6,070 9,417 205.2 182.1 183.3 Men: 1958 .................. 1977 .................. Percent change .. $ 1,422 3,279 130.6 $ 3,342 $4,148 $6,141 8,699 13,279 18,832 160.0 185.7 206.7 Earnings for women at the 20th, 40th, 60th, and 80th percentiles in 1977 were near or about 200 percent higher than they were in 1958. In other words, earnings growth was fairly uniform across the distribution. Among men, however, a different picture emerges: earn ings growth was much faster at the 80th percentile than it was at the 20th. One possible explanation for these dif ferent growth patterns and trends in inequality between men and women may result from differences in occupa tional patterns. Despite their entry into many new occupations in re cent years, women still tend to be clustered in a relatively few occupations, primarily clerical and service occupations, where opportunities for advancement are typically limited and earnings increases have been tradi tionally moderate. Men, however, are found in a variety of occupations and tend to dominate professional and managerial occupations where employment opportuni Table 8. Regression results of Gini indexes for the earnings of women by occupation, 1958-77 All earners Item Full-time year-round earners Trend t statistic coefficient R2 .0001 .570 .019 -.0004 •f .0040 -.0022 .0027 .0029 0033 .0013 .0015 .0072 -.0002 -1.043 1.632 ’ -2.978 18.808 ’ 5.326 ' 3.290 14.213 15.718 13.803 -.023 T o ta l.................... Professional and technical workers . . . . Farmers and farm managers.................... Managers ...................... Clerical w o rkers............. Salesworkers.................. Craftworkers .................. Operatives...................... Service w o rkers............. Farm laborers ............... Nonfarm la borers........... 1Statistically significant at the 1-percent level. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Trend t statistic coefficient R2 .141 -.0006 -1.669 .060 -.0014 1 -3.233 .381 .136 .343 .820 .625 .389 .511 .658 .460 .000 -.0233 -.0037 .0013 .0038 .0003 0001 - 0028 -.0290 -.0041 ’ -3.333 ’ -3.960 14.561 ’ 7.193 .306 .361 1 -4.923 ’ -5.239 -1.869 .395 .480 .550 .753 .006 008 .588 .618 .170 Table 9. Regression results of Gini indexes for wage and salary income of women by industry, 1958 7 7 1 Item T o ta l.................... Agriculture, forestry and fisheries............... Mining ............................. Construction.................... Manufacturing.................. Transportation, commu nications, and public utilities ........................ Wholesale tra d e ............. Retail trade .................... Finance ........................... Business services........... Personal services........... Entertainment and recreational services . . . . Professional services. . . . Public administration . . . . All wage and salary earners Full-time year-round earners Trend t statistic coefficient Trend t statistic coefficient R2 0.0007 2 4.458 .525 -.0016 -.0039 -.0057 .0018 .0017 2 -3.376 -1.501 1.540 24.554 .388 .112 .116 .535 .0015 .0013 n <4) n .0025 .0001 .0027 .0016 .0030 .0016 2 4.889 .120 210.172 2 4.316 26.307 2 3.309 .570 .001 .852 .509 .689 .378 .0022 .0010 .0006 -.0008 -.0007 -.0031 2.204 .623 .738 .713 -.589 -2.019 .351 041 .057 .054 .037 .312 .0023 .0006 .0039 1.899 1.665 27.272 .167 .134 .746 -.0035 .0030 ( 4) 2 -6.666 2 5.723 ( 4) .840 .785 ( 4) n 3 -3.107 R2 .762 1.597 0.518 ( 4) ( 4) .061 .221 1The Gini indexes used in estimating the trends for full-time year-round workers were for the years 1967-1977. 2 Statistically significant at the 1-percent level. 3 Statistically significant at the 5-percent level. “ Trends were not estimated for these groups because of the lack of data. ties have expanded rapidly and earnings growth has been above average. d i s c u s s i o n may necessarily appear incomplete be cause changes in the distribution of earnings, no matter how thoroughly analyzed, cannot be labeled “good” or “bad.” No consensus has been reached on what consti tutes an optimum distribution. Some may argue for a more (or less) egalitarian society, but few, if any, have ventured to set forth the outlines of a pattern of distri bution to be used as a goal in public policy. The cur rent state of knowledge, though imperfect, does recognize the necessity of avoiding extremes: absolute inequality would stifle all freedom, absolute equality would produce a very dull society. Because levels of earnings are affected by many fac tors, including effort, skill, knowledge, inheritance, fam ily status, and luck, it becomes difficult, if not impossible, to single out the specific factors responsible for any given change in earnings distribution. Even if one wished to eliminate the element of “luck,” he or she would be hard-pressed to know how to proceed. Yet the extent to which wealth and income are widely or narrowly distributed does reflect the nature of society and its economic system. Greater attention to earnings distribution data can yield more understanding of eco nomic forces and the actions needed to effect change. □ T h is --------- F O O T N O T E S ---------ACKNOWLEDGMENT: The authors would like to acknowledge the contribution of Emmett Spiers, a statistician with the Census Bureau, who developed the data used in this article. 9 MONTHLY LABOR REVIEW April 1980 • Earnings Distribution by Sex See Peter Henle, “Exploring the distribution of earned income,” December 1972, pp. 16-27. See Gian S. Sahota, “Theories of Personal Income Distribution: A S u r v e y J o u r n a l o f E c o n o m ic L ite r a tu r e , March 1978, pp. 1-55; John A. Brittain, I n h e rita n c e a n d th e I n e q u a lity o f M a te r ia l W ea lth (Wash ington, D.C., The Brookings Institution, 1978); Christopher Jencks, and others, W h o G e ts A h e a d : Th e E c o n o m ic D e te r m in a n ts o f S u cc e ss in A m e r ic a (New York Basic Books, 1979); Stanley Lebergott, Th e A m e r ic a n E c o n o m y : I n co m e, W ealth , a n d W a n t (Princeton, N.J., Princeton University Press, 1976); Sheldon Danziger and Eugene Smolensky, “Income Inequality: Problems of Measurement and Inter pretation,” in A m e r ic a n S o c ie ty I n k (Chicago, Rand-McNally, 1977). Alice M. Rivlin, “Income Distribution — Can Economists Help?” P a M o n th ly L a b o r R ev ie w , p e r s a n d P r o c ee d in g s o f th e E ig h ty -S e v e n th A n n u a l M e e tin g o f th e A m e r ic a n E c o n o m ic A sso cia tio n , May 1975, pp. 1-15; Morton Paglin, “The Measurement and Trend of Inequality: A Basic Revision,” September 1975, pp. 598-609; Eric Nel son, William R. Johnson, Sheldon Danziger, Robert Haveman, Eu gene Smolensky, Joseph J. Minarik, C. John Kurien, and Morton Paglin, “The Measurement and Trend of Inequality; Comments,” A m e r ic a n E c o n o m ic R ev ie w , June 1977, pp. 497-531. A m e r ic a n E c o n o m ic R e v ie w , The Gini index (developed by an Italian statistician, Corrado Gini, 1884-1965), can best be described by the use of the following dia gram: If recipients are ranked according to their income along the horizontal axis and their total income is placed on the vertical axis, Line A will represent complete equality (10 percent of income recipients received 10 percent of income, etc.) Line B (Lorenz curve) may represent an actual distribution which always falls below the diagonal. Gini index is the ratio of the area between the two lines to the triangle below Line A, and is always less than 1.0. The closer the Gini index is https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis to zero, the more equal the distribution. 4The method used by the Bureau of the Census to calculate the Gini indexes presented in this article differs slightly from the method used by the Bureau to derive the Gini indexes that were analyzed in an earlier article. Both methods used Pareto-linear interpolation and integration procedures to obtain the income quantiles and Lorenz Curves underlying the Gini indexes. The current scheme uses entirely consistent methods, whereas the earlier scheme sometimes combined Pareto and linear procedures in an inconsistent manner — moreover, the current scheme uses Simpson’s rule for approximate integration in calculating the Gini indexes themselves, whereas the earlier scheme used the trapezoidal rule for approximate integration. For a more complete description of the improved methodology, see Emmett Spiers, “Estimation of Summary Measures of Income Size Distribu tion from Grouped Data,” A m e r ic a n S ta tis tic a l A sso cia tio n , 1 9 7 7 P r o c e e d in g s o f th e S o c ia l S ta tis tic s S e c tio n , Part 1, pp. 252-57. In addition, procedures for collecting and processing the income data were modified during the 1970-77 period, just as they were from time to time in the earlier years. These changes have been described in detail in the Census Bureau’s C u r r e n t P o p u la tio n R ep o r ts , Consumer Income, P -6 0 series, and have generally involved the procedures used in imputing income information for nonrespondents. Perhaps the most significant changes occurring in the 1970-77 period were those result ing in the revision of the 1974 income estimates. These revisions were necessitated not only by changes in the imputation procedures but also because of changes in the March CPS questions on income and work experience, changes in the number and detail of tabulated in come intervals, and the correction of several small errors found in the previous processing system. Because of all these changes, the Census Bureau decided to revise the 1974 income statistics; consequently, this article contains 2 Gini indexes for the earnings distributions in 1974, one based on the old processing system and another based on the new system. For further information on the 1974 revision, see C u r re n t P o p u la tio n R e p o r ts , Series P -6 0 , No. 105, “Money Income in 1975 of Families and Persons in The United States,” Bureau of the Census, 1977. 5As an example of some of the research that has been done on the earnings differences between men and women, see Jacob Mincer and Solomon Polachek, “Family Investments in Human Capital: Earnings of Women,” J o u r n a l o f P o litic a l E c o n o m y , March/April 1974, Pt. II; Mary Corcoran, “The Structure of Female Wages,” T h e A m e r ic a n E c o n o m ic R e v ie w , May 1978, pp. 165-78; Ronald Oaxaca, “Male-Fe male Wage Differentials in Urban Labor Markets,” I n te r n a tio n a l E c o n o m ic R e v ie w , October 1973, pp. 693-709; and Isabel V. Sawhill, “The Economics of Discrimination Against Women: Some New Find ings,” J o u r n a l o f H u m a n R eso u rces, Summer 1973, pp. 383-95. National Commission recommends changes in labor force statistics The National Commission on Employment and Unemployment Statistics finds the U.S. system of employment and unemployment statistics fundamentally sound, but recommends many significant expansions and refinements of the data R o b e r t L. S t e i n How well does our system of employment and unem ployment statistics serve the needs of users? Congress raised that question in 1976, established a commission to address it, and instructed the Secretary of Labor to explore ways of implementing the commission’s findings. When it reported last September, the commission concluded that U.S. labor force statistics are generally sound, but called for improvements in a number of areas. Last month, Secretary of Labor Ray Marshall told Congress that he agrees with most of the commis sion’s recommendations and already has implemented a few of them. This article reports both on the commis sion's recommendations and the Secretary’s response. Earlier review— Gordon Committee Since its inception in the 1940’s, the labor force sta tistics program always has been the object of careful scrutiny by the agencies of the Federal government.1 The statistical design and operation of the most com prehensive part of the system—the household data obtained through the monthly Current Population Sur vey (CPS)—has been the responsibility of the Bureau of the Census and the analytical responsibility since 1959 has been lodged in the Bureau of Labor Statistics. How ever, because of the central role of employment and unRobert L. Stein is Assistant Commissioner, Office of Current Employ ment Analysis, Bureau of Labor Statistics. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis employment data in the formulation of Government policy, the statistical procedures and the concepts and definitions have been subject to periodic review by interagency committees and by the Joint Economic Committee of the Congress. Moreover, because the sta tistics are so widely used in government and the private sector, the statistical agencies have never introduced major conceptual or methodological changes without providing an opportunity for interested parties to review and comment upon them. The first presidential review committee was appointed by President John F. Kennedy in response to wide spread public criticism of and doubts about the accuracy of the labor force data because unemployment remained high during most of 1961, even though economic recov ery was clearly under way. That 6-member review group, known as the Gordon Committee because its chairman was Professor Robert A. Gordon of the Uni versity of California, delivered its report in 1962. Many of its recommendations for improvements in concepts and methods were implemented in a series of actions by the BLS and the Census Bureau over the ensuing 5 years.2 Among the major changes were the following: the sample for the survey was expanded by 50 percent; the questionnaire was sharpened to minimize reliance upon volunteered information; discouraged workers were classified as not in the labor force but, for the first time, were explicitly measured; other information on persons not in the labor force was collected for 11 MONTHLY LABOR REVIEW April 1980 • Labor Force Data Proposals the first time; the age cutoff for labor force de finitions was raised from 14 years to 16 years; the de finition of unemployment included for the first time a specific indication of jobseeking methods used and of the jobseekers’ current availability for work. The Gordon Committee report resulted in many tech nical changes in the way the statistics were compiled, but did not basically alter their underlying conceptual or methodological structure,3 and did not end the con tinuing controversy about the definition of unemploy ment. This controversy has many variations, but it really comes down to one basic issue: should the Gov ernment’s figures on unemployment reflect only those persons with a strong attachment to the labor force who suffer significant economic hardship when unem ployed (for example, family heads), or should the Gov ernment’s figures reflect all those seeking work plus those who do not seek work because they believe none is available and those who are on involuntary part time. The Government’s present definition is clearly in the middle of these extremes—it includes all those not working who are currently seeking work (during the last 4 weeks) and are available for work (regardless of the strength of their labor force attachment or the de gree of hardship involved), but it does not include workers on involuntary part time or discouraged work ers. The Levitan Commission Whenever unemployment rises, as it did twice in the 1970’s, the figures become subject to more intensive ex amination and heightened controversy. The late Com missioner of Labor Statistics Julius Shiskin tried to defuse this criticism by publicizing alternative unem ployment measures4 and by calling for the creation of another review commission inasmuch as 15 years had passed since the Gordon Committee was appointed. Another development that made conditions ripe for the appointment of a new commission was emergence in the 1970’s of a new use for unemployment figures— that is, as a basis for the allocation of funds to specific localities for training and reemploying the unemployed. Because the Current Population Survey (CPS), which provides the data base for national estimates, was never designed for this purpose, indirect estimation methods have had to be used in conjunction with CPS benchmarks. Of ficials in cities and States who believed their unemploy ment problems were greater than indicated by the of ficial statistics were increasingly critical of the State and local unemployment data, and this criticism spilled over onto the national monthly unemployment data. As a result of these pressures, in October 1976, the Congress enacted legislation (Section 13 of PL 94-444) which mandated the appointment of a review commis sion to examine “the procedures, concepts, and method 12 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis ology involved in employment and unemployment statistics and suggesting ways and means of improving them.” The commission was appointed by President Jimmy Carter in April 1978. The 9-member commission, chaired by Sar Levitan of George Washington University,5 deliberated for nearly 18 months and delivered its final report to the Congress and Secretary of Labor Marshall, who is responsible for its implementation, on Labor Day 1979. The Secretary of Labor, as required by law, reported to Congress last month as to his response to each of the commission’s recommendations— whether he considers them desirable and feasible and, if so, what steps he has taken or plans to take to implement the recommendations. The commission’s report, entitled, Counting the Labor Force comprises more than 300 pages and represents a distillation of extensive public hearings, the testimony of a broad spectrum of users, the findings contained in 33 background papers sponsored by the commission, and lengthy discussions among the commission mem bers themselves.6 The commission concluded that the available data are useful in appraising current labor market trends, partic ularly at the national level. At the same time, the com mission’s judgment was that the data could be improved in several respects. In particular, the commis sion noted that more information was needed on “the qualitative dimensions of labor market experience” and on the dynamics of labor market behavior. The commis sion expressed a need for more comprehensive reporting on the link between employment status, workers’ earn ings, and family income. And it was critical of the ade quacy of available data used as a basis for the allocation of funds to States and areas. In this case, it found that the statistical agencies of the Government were in a difficult situation because the monthly data needed to satisfy legislative requirements for thousands of small areas can only be generated by estimation pro cedures yielding data of doubtful quality. The commission made nearly 90 recommendations for changes in the entire system of U.S. employment and unemployment statistics. (See exhibit 1.) Most of the recommendations apply to BLS, but a sizable number were also directed to the Census Bureau, and a smaller number involved the Department of Labor’s Employ ment and Training Administration, the Department of Commerce’s Office of Federal Statistical Policy and Standards, and the Department of Agriculture’s Eco nomics, Statistics, and Cooperatives Services. A few of the recommendations are directed to the Congress and its legislation affecting the allocation of money under the Comprehensive Employment and Training Act and other programs. Despite the large number of recommendations, a fair assessment would be that this review commission, like Exhibit 1. Summary of recommendations of the National Commission on Employment and Unemployment Statistics R e c o m m e n d a tio n P rogram a ffe c te d A gency a ffe c te d Defining the labor force Define discouraged workers to refleet job search in last 6 months, current availability, and desire for work. CPS BLS Census Continue to exclude discouraged workers from the labor force count, but collect data on them monthly and tabulate separately. CPS BLS Census Count Armed Forces members stationed in the United States as employed for national statistics, but do not include them in local area statistics. CPS BLS Census Defense Calculate employment/population ratio using the Armed Forces in both the numerator and denominator. CPS BLS Define program participants in institutional training who are not actively seeking work as not in the labor force (rather than unemployed) and those in work experience programs as employed (rather than unemployed). CPS BLS Census S t a tu s Accepted. CPS BLS Accepted. Adding labor market information Collect information on volunteer work every 3 years through a special supplement to the CPS. CPS Test the feasibility of collecting information from unemployed persons in the outgoing CPS rotation groups on their reservation wage, earnings on prior job, and type of job sought. CPS (,)Collect detailed labor market https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis SIPP Accepted, BLS depending Census ACTION on CPS workload and budget. BLS Census Census Accepted for an annual supplement, depending on CPS workload and budget. Part 1 ac- P rogram a ff e c te d A gency a ff e c te d S t a tu s CPS HEW BLS cepted. Part 2 rejected. CPS BLS Census Accepted for an annual supplement, depending on CPS workload and budget. CPS BLS Census Accepted. New questions being tested. Expand the CPS sample to produce more reliable monthly data for blacks and Hispanics and annual estimates for Asian and Native Americans. CPS BLS Census Accepted, depending on budget. Identify race and ethnicity in the CPS in the same manner as in the decennial census. CPS BLS Census Implemented. Determine usual hours worked for all employed persons and the reasons for working fewer hours. CPS BLS Census Accepted. New questions being tested. Use a specific hours cutoff (35 hours of more versus less than 35 hours) to determine whether the unemployed are seeking full- or part-time work. CPS BLS Census Accepted. New questions being tested. Improving data for consistently defined rural areas should be a consideration in the CPS redesign. CPS BLS Census Accepted, subject to solution of technical problems. Measures of economic hardship should include specific measures for the rural population. CPS BLS Census Accepted as part of BLS annual report, if rural area data can be developed. Extend the occupational employment statistics program to all States on a regular basis. OES BLS ETA NOICC Accepted, depending on budget. information on the new survey of Income and Program Participation (SIPP) sponsored by the BuAccepted. New meth- reau of the Census and the Department of Health, Education od being and Welfare.(2) If SIPP does not tested. prove to be a suitable vehicle, expand the CPS questionnaire for Accepted on an inter- the outgoing rotation group to collect more detailed information im basis. Final deci- on source of income. sion subject to eval- Obtain monthly information on whether employed respondents uation of have begun new jobs within the new data. past month, and if so, whether it was through job changing, new Accepted. Data to be hires, or other method. provided by the Department of Defense. Ascertain each month the school enrollment status of 16 to 24 year Accepted. olds, including whether attendance is on a full- or part-time basis. Linking employment status with earnings and income Publish an annual report on measures of economic hardship resulting from low wages, unemployment, and involuntary part-time work. R e c o m m e n d a tio n 13 MONTHLY LABOR REVIEW April 1980 • Labor Force Data Proposals Exhibit 1. Continued— Summary of the National Commission’s recommendations R e c o m m e n d a tio n P rogram a ffe c te d A gency a ffe c te d S t a tu s P rogram a ff e c te d Have occupational projections for the Nation, States, and areas systematically reviewed by the responsible agencies to analyze forecast errors and improve future projections. Provide a range of forecasts based on alternate assumptions, as a guide to errors in projections. Research should be undertaken by the BLS on the response of occupational supply and demand to market factors such as wage changes. OOS Conduct pilot studies by State employment security agencies to determine feasibility and costs of developing local occupational unemployment rates. UnemBLS ployment ETA Insurance OES Accepted in principie, but technical problems are severe. Collect occupational mobility data in a special supplement to the CPS to find out whether respondents changed occupations in previous year and, if so, what their occupations were. CPS Include question on occupation, industry and place of residence 1 year ago on mid-decade and 1990 census. BLS NOICC R e c o m m e n d a tio n Parts 1 and 2 being implemented. Part 3 accepted, subject to solution of technical problems. A gency a ff e c te d Study occupational differential in agriculture to develop more detailed and meaningful agricultural occupational classifications for the Standard Occupational Classification system. Quarterly ESCS Farm Employment Survey Accepted. Explore the possibility of including labor turnover questions in the quarterly agricultural establishment survey. Quarterly ESCS Farm Employment Survey Prior re- * search and testing required. In the post-1980 redesign of the CPS, design 50 State samples to improve the efficiency of the survey. CPS Census BLS Accepted. Accepted, depending on budget. Conduct intensified research and analysis on bias in the CPS data with an explicit timetable for publication of a set of total error estimates for prominent labor force series. CPS Census Underway or planned. 1985 and Census 1990 census Will consider in planning process. CPS Census Underway or planned. Insure that the new Standard Occupational Classification codes are broadly comparable with historical CPS occupational statistics. CPS BLS Census Implemented. Use civilian codes for military personnel in occupations with a civilian counterpart and develop new codes for other military occupations. CPS BLS Defense Accepted, in principie, if data can be provided by Department of Defense. Investigate the role of sample rotation bias in estimates by studying a group of addresses for 16 months to determine the number of new families moving into the residences. Collect information on the characteristics of those who move out, those who move in, and those who fail to cooperate initially, but subsequently participate in the survey. Assemble more information on the characteristics of noninterviews to improve estimation procedures. CPS Census Underway or planned. Conduct a study to determine whether the differential effects of rotation group bias on the ratio and composite estimate make use of the composite estimate desirable. Explore alternate methods of estimation. CPS Census Underway or planned. Include estimates of the “uncounted population” in the population controls used for the national and State labor force estimates; that is, adjust the population totals for the undercount. CPS LAUS Census BLS Decision must await further developments. Conduct a study of biases in the measurement of labor force status that arises from the use of proxy respondents. The investigation should be disaggregated for various groups in the labor force. CPS Census Underway or planned. BLS Census Test the feasibility of expanding the BLS Labor Turnover Survey to trade, service, and other industries and linking a few basic demographic characteristics with the turnover data. LTS BLS Accepted, depending on budget. A job vacancy statistics program is not recommended unless new evidence shows that useful data can be collected in a cost-effective manner. Job vacancy statistics BLS Decision depends, in part, on outcome of BLS pilot tests. Consider a farm operator as selfemployed. Quarterly ESCS Farm Employment Survey 14 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Accepted, depending on user reaction. Current Population Survey Exhibit 1. Continued — Summary of the National Commission’s recommendations R e c o m m e n d a tio n Establish a separate national CPS sample of approximately 10,000 households for a 2-year period to collect detailed supplementary labor market information that cannot be collected in the regular CPS. P rogram a ffe c te d CPS A gency a ffe c te d BLS Census S t a tu s Accepted, depending on budget. Nonagricultural Establishment Survey BLS Expand the BLS-790 sample to provide 508 published industry series and current aggregate employment estimates for all Standard Metropolitan Statistical Areas and remaining areas of States. CES Complete documentation of the BLS-790 program for use in studying possible redesign of the establishment survey. CES BLS Expand research on methods used to adjust for bias in the BLS-790 employment estimates. CES BLS Study the quality and coverage of the benchmark employment data from unemployment insurance records. CES Benchmark the BLS-790 employment data annually. Accepted within framework of program redesign. R e c o m m e n d a tio n P rogram a ff e c te d A gency a ff e c te d S t a tu s Conduct research to determine if any bias exists in reporting hours and earnings. Publish an expanded and more thorough statement of imprecision and bias for all estimates. CES BLS Accepted in principie. Technical problems being addressed. Test the feasibility and cost-effectiveness of collecting data on work hours of nonproduction workers through the BLS-790 program. CES BLS Accepted within framework of program redesign. Agricultural Establishment Survey Continue efforts to identify the overlap of list and area samples of employees through direct inspection of the social security list. The feasibility of collecting employment identification numbers for this purpose should be tested. Quarterly ESCS Farm Employment Survey Partly implemented. Quarterly ESCS Farm Employment Survey Accepted, depending on budget. Quarterly ESCS Farm Employment Survey Accepted. BLS Restore the quarterly agricultural establishment survey sample to its Accepted pre-October 1979 level. within framework of program redesign. Institute a regular program of field quality control checks. Accepted. CES BLS Accepted. Include livestock series (SIC 0751) in the Department of Agriculture survey only. Accepted, with reservations. Where sampling is inadequate, delete certain industries from the monthly tables in E m p lo y m e n t a n d E a rn in g s, but publish them in the annual bulletin. CES BLS Rejected. Preference is to improve sampies. Quarterly ESCS Farm Employment Survey CES Quarterly ESCS Farm Employment Survey Accepted. Revise the Standard Industrial Classification codes on a gradual and continuing basis. Reinstate BLS coverage of Standard Industrial Classifications 08 (forestry, hunting, fishing) and 09 (trapping). Use payroll counts of all workers without regard to occupation. Quarterly ESCS Farm Employment Survey Judgment reserved because of technical problems. Quarterly ESCS Farm Employment Survey Judgment reserved because of technical problems. Quarterly ESCS Farm Employment Survey Accepted. Institute a formal continuing quality control program for the B LS-790 and E S-202 program. CES Evaluate the number of cells and degree of sample stratification annually at the time of benchmark revision to improve the accuracy of hours and earnings statistics, as well as employment statistics. CES https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis BLS BLS BLS Accepted. Accepted in principie. Technical problems being addressed. Accepted Modify the Department of Agriwithin framework culture’s sample design to permit of program derivation of quarterly average employment estimates. Monthly redesign. estimates should be published where reliability standards permit. Accepted in princiPublish thorough documentation pie. Techof the Department of Agriculnical ture's quarterly agricultural esproblems tablishment statistics program. being addressed. . 15 MONTHLY LABOR REVIEW April 1980 • Labor Force Data Proposals Exhibit 1. Continued— Summary of the National Commission’s recommendations P rogram R e c o m m e n d a tio n a ffe c te d A gency a ff e c te d S t a tu s R e c o m m e n d a tio n P rogram a ff e c te d Unemployment Insurance Statistics A gency a ff e c te d Longitudinal data Improve data comparability among States by analyzing differences in the qualifying requirements and duration provisions of State unemployment insurance laws that affect the insured unemployment rates. UnemETA ployment insurance Accepted. Continue to collect the ES-203 data on characteristics of the insured unemployed through a Federal-State cooperative program. E S-203 Accepted in principie. Other data sources being explored. Assign full responsibility for the ES-203 program to the Employment and Training Administration. ES-203 Fund a quality control program to enhance the accuracy and timeliness of the E S - 203 through appropriations to the Unemployment Insurance Service. ES-203 Analyze the characteristics of claimants over the last 15 or 20 years. E S-203 Reinstitute collection in the E S 203 reports of the basic characteristics of the insured unemployed who exhaust their benefits. ETA ETA ETA ETA Accepted in principie. Other data sources being explored. Accepted in principie. Other data sources being explored. Accepted in principie. Other data sources being explored. ES-203 ETA Accepted in principie. Other data sources being explored. CPS CES BLS Research being conducted on CPS-based series. Establishment-based series will be continued at this time. Resume publication of gross flow data, if current defects can be satisfactorily reduced. In the meantime, these data should be published occasionally, with an accompanying warning about their reliability. Prepare monthy gross flow data time series tapes for public use. CPS BLS Census Accepted, subject to solution of technical problems. Prepare public use tapes containing longitudinal CPS microdata. CPS Census Accepted. Pending further advances in regression or other methods of seasonal adjustment, continue the X - l l and BLS-SF methods for seasonally adjusting labor force data. CPS CES BLS Accepted. Adjust unemployment rates and other important current labor statistics on a concurrent basis. CPS BLS Rejected. Continue to revise adjusted historical data once a year. CPS BLS Accepted. Use the X - l l / A R 1 M A method for seasonally adjusting major labor force series that are characterized by rapidly changing seasonality. CPS Census BLS Accepted. Develop standard errors for seasonally-adjusted data. CPS BLS Accepted. Expand the CPS to provide a maximum expected 6.5-percent coefficient of variation in the annual average estimates of unemployment for States and SMSA’s with a population of 1 million or more, 11 major central cities and the corresponding remainder of States and SMSA’s. CPS LAUS Census BLS Accepted in principie. Proposal modified to improve data for 125 SMSA’s within same budgetary constraints. Implementation depends on budget. To meet requirements for monthly or quarterly State and sub-State statistics, update immediately the handbook procedures for estimating employment and unemployment. Update past CPS estimates to the current month in ways that LAUS BLS CES Census 1985 census Accepted, subject to solution of technical problems, and budget. Seasonal adjustment State and local statistics Comparing data from different sources V Develop a spendable earnings series based on the new CPS quarterly earnings data (if the data prove reliable) to replace the series based on establishment data. 16 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis S t a tu s Exhibit 1. Continued— Summary of the National Commission’s recommendations R e c o m m e n d a tio n P rogram a ffe c te d A gency a ffe c te d S t a tu s will minimize both the size of annual revisions to the estimates and the distortion of monthly movements. Along with expanding the nonagricultural establishment survey to provide current employment data for all SMSA’s and the corresponding remainder of States, collect labor force information on small areas in the mid-decade census, if the expense is not excessive. Review present statistical requirements pertaining to the allocation of funds to States and localities, including the frequency with which statistics are mandated and the use of allocation formulas that place a premium on the accuracy of estimates. Grant al- Congress Labor location Commerce Avoid using monthly data for allocation of funds to States and localities. Use graduated allocation formulas, when feasible. Grant al- Congress location Accepted in principie. Implementation depends on the Congress. Accepted in principie. Implementation depends on the Congress. Administration and presentation Accepted. The Office of Federal Statistical Policy and Standards should be consulted during the initial stages of legislative formulation by any department regarding potential factors to be used in formula grant allocations. ComGrant allocation merce A statistical reliability note should accompany all legislative proposals, submitted, including cost estimates for any new or expanded data collection requirements. Legislation Commerce ETA BLS Other Accepted with reservations. Allow the BLS sole funding authority for the BLS-790, BLS- FederalState ETA BLS Funding arrange- NOTE: HEW = U.S. Department of Health, Education and Welfare. GES = Occupational employment statistics. ETA = Employment and Training Administration, U.S. Depart ment of Labor. NOICC = National Occupational Information Coordinating Committee. its predecessor the Gordon Committee, did not call for a basic overhaul in any of the major statistical pro grams or of the specific concepts, methods, or proce dures in use. Its recommendations for changes in defi https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis R e c o m m e n d a tio n P rogram a ff e c te d A gency a ff e c te d S t a tu s 1219, ES-202, Occupational Employment Statistics, and Local Area Unemployment Statistics programs. programs ments being negotiated by the affected agencies. Provide funds so that the BLS can establish a training program for workers in Federal-State statistics programs. Federal- BLS State programs Accepted with reservations. Expand the BLS regional staff to assist State and local agencies in their statistical work. Federal- BLS State programs Judgment reserved. Continue to insulate the BLS statistical program from partisan influence. Various BLS Accepted. The BLS advisory councils should adopt a more active role. Various BLS Accepted. Establish a new advisory council broadly representative of the data user community. Various BLS Rejected. Prior to instituting major changes Various affecting current statistical programs, the BLS should conduct broad public information programs to describe the contemplated changes and solicit comments. Where appropriate, advance notice of planned changes should be published in the Federal Register. * Review the Nation’s labor market Various information system at least once each decade. BLS Accepted. BLS ETA Agriculture Census Accepted. Various BLS Accepted. Review the present array of alternative unemployment measures in light of the conceptual issues addressed in the recommendations of the National Commission of Employment and Unemployment Statistics. OOS = Occupational outlook statistics. LTS = Labor Turnover Survey. ESCS = Economics, Statistics, and Cooperatives Services, U.S. Department of Agriculture. LAUS = Local Area Unemployment Statistics. CES = Current Employment Statistics. nitions are minor. The commission considered but rejected recommending the development of an annual index of economic hardship, and instead called for the publication of an annual report on this subject. It also 17 MONTHLY LABOR REVIEW April 1980 • Labor Force Data Proposals considered and rejected the possibility of counting “dis couraged workers” as unemployed. The major thrusts of the recommendations were to call for: (1) the collec tion, processing, analysis, and reporting of more data about the employed, the unemployed, and persons not in the labor force; (2) the expansion and strengthening of samples now in use to provide more reliable area, de mographic, industry, and occupational data; and (3) the intensification of research into a number of long-term methodological problems. Many of the commission’s recommendations were, in effect, encouragement for the statistical agencies to pursue efforts already under con sideration or under way for data development and data improvement. Nevertheless, taken as a whole, the rec ommendations of the commission should have consider able impact on employment and unemployment statistics programs over the next several years simply because of the added weight and support provided by a prestigious body to specific decisions and courses of ac tion. Some of the major specific recommendations are summarized in the following discussion. Except as not ed, the Secretary of Labor endorsed these recommenda tions. Labor force definitions The commission spent a great deal of time con sidering possible changes in labor force definitions. For example, it considered the desirability of introducing cutoffs based on hours of work or hours of seeking work as criteria for inclusion in the labor force; of rais ing the age cutoff from 16 to 18; and tightening the def inition of jobseeking by ruling out .some informal meth ods. In the final analysis, it rejected all these courses of action and left the basic definitions almost completely intact. Discouraged workers. The most controversial definitional issue considered by the commission was that of discour aged workers. The present statistical practice, rec ommended by the Gordon Committee, defines discour aged workers as persons who want to work but are not seeking work because they believe none is available, and classifies them as not in the labor force. Information is compiled and published on the number and characteris tics of discouraged workers on a quarterly basis. The commission recommended monthly publication and a change in the criteria for defining discouraged workers. But, it urged continuing the practice of classifying them as not in the labor force, rather than as unemployed. The new criteria would involve determining whether a person had sought work in the past 6 months, and whether he or she was currently available for and want ed work. Persons who meet these criteria would be de fined as discouraged workers. The Secretary of Labor accepted the change in the 18 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis definition of discouraged workers, but indicated that the final decision on their classification as “unemployed” or “not in the labor force” should await the accumulation and study of data under the new definition. In the meantime, discouraged workers will continue to be classified as “not in the labor force.” At present, two versions of a specific set of questions which would implement this commission proposal are being tested in the Census Bureau’s 3,200-household Methods Development Survey.” If this recommenda tion is proven feasible, a change in the method of defin ing discouraged workers, and monthly compilation and reporting of the data, could go into effect in January 1983. Armed Forces. One significant definitional change recommended by the commission was to include mem bers of the Armed Forces among the employed for pur poses of national statistics (but not to include them in local area statistics), and to include them in the numer ator and denominator in calculating the employmentpopulation ratio. This recommendation was accepted by the Secretary, with the understanding that the decision might be reconsidered if there should be a change in military per sonnel policy (a shift from an all-volunteer armed serv ices to a military draft). In implementing this defi nitional change, data will continue to be obtained from the Department of Defense, rather than through the CPS. Economic hardship The commission deliberated extensively about the merits of recommending the development of specific measures of “labor market-related economic hardship.” An early draft of the commission’s report, circulated in January 1979 for public comment, contained a formula tion of such measures synthesizing information on weeks and hours worked and weeks looking for work in the previous calendar year; workers’ annual earnings; and the incomes of their families in relation to the pov erty line, which in turn is adjusted for family size. The draft report also contained an extensive discussion of the conceptual and technical problems in developing such measures. The commission’s final recommendation was for BLS to develop an annual report in which data would be provided and analyzed on three aspects of in dividual labor market hardship—low wages, unemploy ment, and insufficient participation in the labor force. The commission recommended that these data, which would pertain to individuals, should also be analyzed in the context of family income and composition. Secretary Marshall commented that this was poten tially one of the commission’s most important recom mendations because the annual report could enhance public understanding of the relationship between em ployment status and family income. Additional information The commission devoted a significant part of its re port to a discussion of recommendations for the col lection of new information on the labor market, and the extension of coverage of existing programs. Of the 23 recommendations in chapters 6 and 7, 13 relate mainly to the CPS. The more significant recommendations per taining to the CPS are the following: 1. The sample should be expanded to strengthen the reliability of data for racial and ethnic minorities. This is one of the objectives of the Census Bureau and BLS in planning for redesign of the CPS after completion of the 1980 decennial census. 2. There should be some testing of the feasibility of collecting monthly or quarterly information on the un employed with respect to the lowest wage they will ac cept (their reservation wage), earnings on prior jobs, and the occupation being sought. This type of informa tion has been collected in the CPS on an ad hoc basis in the past, although nonresponse rates have been com paratively high. Both the BLS and the Census Bureau have a strong preference for an annual supplement to the CPS as the best way to collect this type of informa tion. 3. Monthly data should be collected on new jobs obtained by the employed, and whether they were obtained through a job change, a recall from layoff, en try into the labor force, or some other method. (Again, th e statistical agencies prefer an annual supplem ent to collect this data.) 4. Monthly data should be obtained on the school attendance of youth, and whether enrollment is full or part time. Such information presently is available only in October; in other months, proxy information is avail able from a question on major activity during the sur vey week, but this is a less satisfactory approach. Questions on school enrollment are included in the Methods Development Survey test panels. 5. Questions on usual hours of work, and reasons for working fewer hours, should be asked of all workers rather than only those working 1-34 hours as is done presently. These are also being tested in the Methods Development Survey. 6. Special supplementary inquiries should be con ducted on occupational mobility and volunteer work. Other programs which would be expanded by the commission are the Occupational Employment Statistics program which would cover all States, and the Labor Turnover Survey which would cover all industries. The commission recommended against the further de velopment of a job vacancy statistics program “unless new evidence is presented that useful data can be col https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis lected in a cost-effective manner.” Recommendations which involve (1) extension of sam ple coverage to additional population groups, States, or industries, or (2) the addition of questions to the CPS questionnaire, depend for their implementation on the availability of resources—both staff and finan cial—and on the resolution of some technical problems. The only controversial recommendation is that on job vacancy statistics. The commission recommended against collection of such data; however, the Secretary of Labor noted that a decision in this area must await the results of BLS testing activities. CPS methodology There are two major recommendations relating to sampling and estimation. The post-1980 redesign on the CPS should be based on 50 State samples to improve the efficiency of the survey. This has all along been one of the basic planning assumptions of the Census Bureau and BLS in the work on the redesign. The commission also recommended that estimates of the “uncounted population” be included in the population controls for the national and State labor force estimates. This is a very controversial recommendation because it affects the data used for many different government programs, and because estimation of the undercount below the national level is fraught with problems. The Census Bureau sponsored a special conference of academicians and pol icymakers in February 1980 to discuss the issues raised by the population undercount and the kinds of data and methods that might be used to adjust the census counts. A recommendation on this sensitive issue will be made by the Census Bureau to the Department of Commerce sometime during the next 12 months. Other recommendations on methodology call upon the Census Bureau to intensify its research efforts into the various biases which have been long known to exist in the CPS. BLS nonagricultural establishment survey The commission presented several technical recom mendations designed to improve the accuracy of the BLS industry employment statistics obtained through the monthly establishment survey. The commission also called for an expansion of survey coverage to additional industries and to all Standard Metropolitan Statistical Areas (SMSA’s) and remaining areas of States. The lat ter was considered useful in its own right as well as for the purpose of improving the monthly employment esti mates used in the calculation of the labor force and un employment rates for local areas in the Local Area Unemployment Statistics (LAUS) program. The recom mendations on improving the accuracy of these data are being considered by BLS within the framework of a 19 MONTHLY LABOR REVIEW April 1980 • Labor Force Data Proposals multi-year redesign of the program of industry employ ment statistics. Gross flow data. The commission considered gross flow data to be extremely important in providing insight into the dynamics of labor force behavior. The gross flow data provide the user with estimates of the total number entering the labor force (gross inflow), those leaving the labor force (gross outflow) each month, as well as gross shifts between employment and unemployment. These data have received increasing use, though still limited because they are known to be subject to several kinds of biases which cannot be readily measured. The com mission does not offer a solution to this problem but urges the statistical agencies to reduce the defects in the data to an acceptable level, and to begin publishing them at least annually, with appropriate caveats. Seasonal adjustment. The commission recommended that the seasonal adjustment of major labor force series be converted to the X - l l ARIMA method and that the seasonal adjustment be on a concurrent basis.7 The X - l l ARIMA method (which includes a provision for forecasting the original series 1 year ahead) has been found to be particularly effective for series whose sea sonal patterns are changing, and for identifying turning points in the business cycle. The concurrent method would involve developing seasonal adjustment factors for each month by using all the available data, includ ing the current month, and then revising the entire se ries at the end of each year. However, the concurrent method would preclude the prior announcement of sea sonal factors for future months. In January 1980, the BLS shifted to the X - l l ARIMA method but not to the concurrent method. There will be a recomputation and prior announcement of factors every 6 months, but revision of the entire series only once a year. Local Area Unemployment Statistics (LAUS) This program is discussed extensively in the commis sion’s report. There are four basic recommendations: • Expand the CPS sample substantially so that annual benchmarks for States and 35 large SMSA’s will be significantly improved. •Update and improve the so-called “handbook proce dure’’—a building-block approach to estimating unem ployment by month by area, using unemployment insur ance administrative data as its primary input. •Collect labor force information in the mid-decade census in order to improve local area unemployment es timates. •Have the Congress review and possibly modify the statistical requirements imposed by various legislative enactments. The BLS and the Department of Labor endorsed the 20 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis commission’s proposal to interview a larger number of households each month to obtain more reliable data for States and metropolitan areas. However, the Depart ment believes that it would be more desirable, within the same budgetary framework, to improve the data for the 125 largest SMSA’s (containing about 62 percent of the Nation’s population), sacrificing some of the pro posed improvement for the 35 largest SMSA’s. This al ternative would provide for a much larger number of metropolitan areas benchmarked to the CPS and should lead to greater equity in the distribution of Federal money. In addition, this proposal would provide annual average data on the demographic characteristics of the employed and unemployed in these areas, which should be of substantial value in program planning and policy analysis. The sample expansion is being incorporated into the planning for the CPS redesign. Implementation de pends, of course, on the availability of financial re sources. The BLS is exploring the feasibility of various means of improving the handbook procedure and has let a contract with Mathematica Policy Research Corp. to develop an improved handbook-type methodology, in cluding an investigation of regression techniques as recommended by the commission. However, it is too early to tell what the results of this research will yield. The fate of the other recommendations is also uncertain at this time. Other recommendations Presentation o f data. The commission’s recommenda tions in this area were not very extensive, calling for an improvement in the explanatory note to the press re lease (already implemented by BLS), and a review of the U 1- U 7 alternative measures of unemployment. These measures are being reviewed by BLS. Administration. The commission made a variety of rec ommendations, involving such issues as the statistical requirements imposed by legislation, the funding of Federal-State programs, the training of State personnel, the utilization of advisory committees by the BLS, and a comprehensive review of the labor force data system at least once a decade. The commission offered a num ber of constructive suggestions which could impact the environment in which statistics are developed, but will have little short-term effect on the data themselves. R e a c t i o n s t o t h e o v e r a l l thrust of the commission’s recommendations have been largely favorable, although several agencies including BLS and the Census Bureau have expressed disagreement with one or more of the specific proposals. Implementation of many of the rec ommendations will involve a lengthy process and, in many cases, will depend on the availability of resources and the ability to solve some very difficult technical problems that have thus far defied solution. In any event, there will be another progress report to the Con gress on implementation of the commission’s proposals. The law requires the Secretary of Labor to submit a fi nal report within 2 years after the commission’s final report (that is, on or before September 3, 1981) detailing the actions taken with respect to the commis sion’s recommendations. □ FOOTNOTES 1See John E. Bregger, “A new Employment Statistics Review Com mission,” M o n th ly L a b o r R ev ie w , March 1977, pp. 14-20. 2President’s Committee to Appraise Employment and Unemploy ment Statistics, M e a s u r in g E m p lo y m e n t a n d U n e m p lo y m e n t (Wash ington, 1962) and Robert L. Stein, “New Definitions for Employment and Unemployment,” E m p lo y m e n t a n d E a rn in g s, February 1967, pp. 3-27. 3John E. Bregger, “Unemployment statistics and what they mean,” M o n th ly L a b o r R ev ie w , November 1971, pp. 22-29. “Julius Shiskin, “Employment and unemployment: the doughnut or the hole?” M o n th ly L a b o r R ev ie w , February 1976, pp. 3-10. 5 National Commission on Employment and Unemployment Statis tics, C o u n tin g th e L a b o r F orce (Washington, Government Printing Of fice, 1979), 312 pp. See also National Commission on Employment and Unemployment Statistics, C o n c ep ts a n d D a ta N eed s, A p p e n d ix V o lu m e I; D a ta C ollection , P ro cessin g a n d P r e se n ta tio n : N a tio n a l a n d L o c a l, A p p e n d ix V o lu m e I I (forthcoming); and C o u n tin g th e L a b o r F orce: R e a d in g s in L a b o r F orce S ta tistic s, A p p e n d ix V o lu m e III. For https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis transcripts of hearings conducted by the commission, see P u b lic H e a r in g s B e fo re th e N a tio n a l C o m m is sio n on E m p lo y m e n t a n d U n e m p lo y m e n t S ta tistic s, V o lu m e s 1, 2, a n d 3 (U.S. Congress, Joint Economic Committee, 95th Cong. 2d sess. 1979, Committee Print). See also, I n te rim R e p o r t o f th e S e c r e ta r y o f L a b o r on th e R e c o m m e n d a tio n s o f th e N a tio n a l C o m m is sio n on E m p lo y m e n t a n d U n e m p lo y m e n t S ta tistic s (Department of Labor, 1980). 6 In addition to Chairman Levitan, the commission’s members were Bernard E. Anderson, University of Pennsylvania; Glen G. Cain, Uni versity of Wisconsin; Jack Carlson, U.S. Chamber of Commerce; Mi chael H. Moskow, ESMARK, Inc.; Rudolph A. Oswald, AFL-CIO; Samuel L. Popkin, University of California at San Diego; Mitchell Sviridoff, Ford Foundation; and Joan L. Wills, National Governors’ Association. 7This approach was recommended by Estela Dagum of Statistics Canada based upon research and applications performed on labor force series at that organization. Dagum served as a consultant to the National Commission on Employment and Unemployment Statistics. 21 Frances Perkins, Isador Lubin, and the Bureau of Labor Statistics As Commissioner of Labor Statistics, Isador Lubin worked closely with Secretary of Labor Frances Perkins to meet the urgent need for data stemming from the Great Depression Jo se ph P. G o l d b e r g The memory of the first woman to be appointed to the Presidential Cabinet is being signally honored this month, with the designation of the Department of La bor Building in Washington, D.C., as the “Frances Perkins Building.” 1 Frances Perkins’ influence as Secre tary of Labor was prominent in the New Deal program seeking to create employment to cope with the Great Depression, and with broad social legislation of lasting influence—-the Fair Labor Standards Act, the Social Security Act, and the Wagner Act. Upon assuming of fice in the new administration of President Franklin D. Roosevelt, Perkins made clear her concern with the role of the Bureau of Labor Statistics by immediately initiating a review of the Bureau’s statistics, and a search for a Commissioner of Labor Statistics. Her choice of Isador Lubin was an inspired one— resulting in a relationship which extended to concerns beyond the Bureau, and even the Department, for Lubin also became a trusted confidant of President Roose velt. In the process, the Bureau of Labor Statistics made its transition to a forward-looking agency, geared to the requirements of a wartime, and later, to a growth econ omy. This article deals with the Perkins-Lubin relationJoseph P. Goldberg is special assistant to the Commissioner of Labor Statistics. This article is the first of a series in recognition of the cen tennial of the Bureau of Labor Statistics, which was established by Congress in 1884. A centennial history of the Bureau is being pre pared by Goldberg, with the assistance of William T. Moye. 22 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis ship as it determined the role of the Commissioner of Labor Statistics, and the development of the Bureau’s programs. Isador Lubin’s death in July 1978, at the age of 82, terminated a long career, in which he had been Com missioner of Labor Statistics for a period of 13 years, from 1933 to 1946. He was the Bureau’s fifth Commis sioner. When he assumed the post, it was with a clear view, shared by Perkins, that he would seek to bring the Bureau into a position compatible with its estab lished reputation, and the economic and social needs of the time. The New Deal concern with the status of workers, encouragement of labor organization, and de velopment of collective bargaining accentuated the need for improved and modernized statistics and analyses of socioeconomic conditions. Lubin, with the active sup port of Perkins, and by his personality, experience, and expertise in labor economics, and his facility for dealing with and inspiring confidence in the varied groups with which he dealt, provided the impetus for the Bureau’s growth. This forward-looking adaptation has persisted over the second-half century of the Bureau’s existence. BLS in the 1920’s Perkins and Lubin had dealt with Commissioner of Labor Statistics Ethelbert Stewart during the 1920’s. When Perkins was New York State Industrial Commis sioner, her agency had cooperated with the Bureau in the development and expansion of the Bureau’s employ- ment series. Lubin, at the newly established Brookings Institution, was a leading participant in the economic advice and research provided by Brookings. He con ducted studies of the effects of technological unemploy ment, and of British experience in dealing with unemployment. He was actively involved in the growing Congressional awareness of the need to identify the scope, characteristics, and ameliorative approaches to growing unemployment. He was loaned by Brookings in 1928 and again in 1930 to serve as economic counsel to Senate committees considering legislation to deal with unemployment, and with the establishment of a nation al economic council to aid in governmental economic planning. He worked closely with Senators Robert M. LaFollette, Jr. of Wisconsin, James Couzens of Michi gan, and Robert Wagner of New York.2 Although BLS was recognized as a valuable and tech nically capable institution by technical experts and professional societies, the Bureau’s opportunities to modernize and improve its work were restricted during the 1920’s by appropriations which, though doubling in the 25 years to 1930, had only kept pace with increases in salaries and the cost of field work. Even when the Congress called for improvements in the scope and cov erage of employment statistics, the appropriations followed late and were either threatened or eliminated. Support for expansion in Federal statistical programs in the 1920’s was determined by the influence associated with farmers and businessmen in the prevailing econom ic climate. During the administrations of Presidents Warren Harding, Calvin Coolidge, and Herbert Hoover, the economic plight of farmers resulted in support for expanded agricultural statistics, if more direct aid was not received. As Secretary of Commerce for 8 years, Hoover encouraged the provision for adequate statistics to business, “because businessmen were making the most important economic decisions.’’3 Stewart’s proposals for increased appropriations were met with frequent Congressional reactions suggesting reductions instead, in the interest of economy. Asking for increases to base the semiannual cost-of-living index on expanded and modernized expenditure patterns of wage earners, he was pressed instead to justify the greater costs involved in field visits, rather than mail schedules, in the conduct of industry wage studies and the pricing for the cost of living index.4 The analytical reports of the Bureau adapted to the changing economic and social scene, continued during the 1920’s, despite budgetary limitations. Wage and hour studies of individual industries were scheduled at 5-year intervals, with such new industries as motor ve hicles and airplanes, along with the previously initiated studies of coal mining, meatpacking, and textiles. Pro ductivity studies in individual industries were developed during the 1920’s, reflecting interest in the impact of https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis new technologies. Bureau work in industrial accidents and hygiene continued to be prominent. The continuing concern in the 1920’s over the state of employment, and the absence of adequate unemploy ment information, provided the Bureau with resources, albeit limited and lagging, to expand its work in the employment field. The study of employment and pay rolls had begun in 1915, gaining momentum when the downturn of 1921-22 resulted in awareness of the un certainty of unemployment information. President Har ding’s Conference on Unemployment in 1921, chaired by Hoover, included a variety of unemployment esti mates. The Department of Labor’s U.S. Employment Service estimated unemployment at 3.5 million, while BLS reported an employment shrinkage of 5.5 million. With so many wide-ranging guesses, the conference “merely voted to announce to the country that the number unemployed was between 3.5 million and 5.5 million, numbers startling enough to challenge atten tion.”5 The conference resulted in increased appropriations to the Bureau to expand its coverage of manufacturing industries, and continued study by the American Statis tical Association’s Committee on Governmental Labor Statistics. The committee’s recommendations called for the BLS to be the coordinating center for the States and any other Federal agencies gathering employment data. BLS was called upon to expand its industrial coverage from manufacturing and first class railroads, to include mining, communications, building construction, whole sale and retail trade, and agriculture.6 Unemployment increases In 1928, concern with growing unemployment was again prominent in Congress. Increased appropriations permitted the Bureau to expand coverage to nonmanu facturing industries. Both Stewart and Lubin were in volved in the landmark Senate hearings in 1928-29, chaired by Couzens on the bills introduced by Wagner, covering comprehensive unemployment measures. Ethelbert Stewart testified on the “shrinkage of em ployment,” and, as he did over the years, stressed that the Bureau’s employment index was not an unemploy ment measure. Lubin, who had been involved in a Brookings Institution study of the absorption of “dis possessed” or discharged workers by industry, was loaned to the Senate Committee as economic adviser. Lubin’s analysis of the witnesses’ testimony and of the Brookings study were important contributions to the committee. The Brookings study, he pointed out, had shown that most displaced workers have great diffi culties in finding new lines of employment. Lubin sup ported Stewart’s expression of the need for a census of unemployment for benchmarking purposes, approved of the efforts underway to expand the reporting sample, 23 MONTHLY LABOR REVIEW April 1980 • Perkins, Lubin, and BLS and agreed that coverage of part-time employment be added. In a period of Federal laissez-faire in regard to unemployment, Lubin’s assessment that “unemploy ment is the result of industrial organization, and not of individual character,” would receive catastrophic con firmation in the forthcoming Great Depression.7 With the onset of the crash of 1929, and the atten dant depression and unemployment, statistics became a focus for approaches to the problems in the labor mar ket. The continuing controversy over the extent of un employment was reflected in the debate surrounding Hoover’s press conference release in early 1930 an nouncing an increase in employment. Perkins, New York State Industrial Commissioner, responded that these statistics were questionable. She noted that these had not been attributed to the Bureau of Labor Statis tics, whose estimates were viewed as honest and reliable on the basis of long association. Further, the New York State experience showed a decline in employment. Per kins’ estimate was confirmed with the release of the of ficial BLS report on employment.8 In the remaining period of Stewart’s stewardship, the employment statistics remained a sore point. Secretary of Labor Doak and Stewart differed in early 1932 on the interpretation of the statistics. When newspapermen checked with Stewart, Doak publicly rebuked the Com missioner. Subsequently, at age 74, with 45 years of government service, with more than a year remaining for completion of his term, Stewart was not included by President Hoover on the list of those for whom exten sions were requested beyond mandatory retirement age.9 Charles E. Baldwin was named acting commissioner for the balance of Stewart’s term. The statistical ambience The longtime experience of Perkins as New York State Industrial Commissioner provided an awareness of the role of the Bureau of Labor Statistics in economic policy. She was equally aware of the need for obtaining support to modernize that role to meet the requirements of the social and economic policies required to cope with the depression conditions of 1933. It was crucial to her concerns that the new Commissioner meet the chal lenge of changed requirements. The breadth of Lubin’s interests and experience was known to her, and she expected that he would provide broad economic and so cial perspectives in dealing with the statistical programs of the Bureau. As her biographer states: “When Perkins offered him the post, she told him he had been chosen because she thought he would remember that statistics were not numbers but people coping or failing to cope with the bufferings of life. She evidently stressed this point to Roosevelt, for he later repeated it to Lubin.”10 The conjoint interests of Perkins and Lubin went to both the improvement of the Departmental statistical 24 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis program and to ensuring the effective coordination of the statistical programs of the Federal Government. Upon her appointment, Perkins immediately invited the president of the American Statistical Association to confer and advise “regarding the methods, adequacy, usefulness, and general program of the Bureau of Labor Statistics.” Immediately following his appointment as Commissioner, Lubin became involved directly in both the work of the Advisory Committee to Perkins, and in the broader efforts toward establishing a central statisti cal board. Lubin welcomed the advice and counsel of this committee of technical experts. Its members includ ed Ewan Clague and Aryness Joy, who later served to gether as Commissioner and Deputy Commissioner of BLS. The review of the Bureau’s programs continued for more than a year. Lubin and Perkins agreed on the role of the Central Statistical Board, in that it would ensure consistency in approaches on the part of Government agencies, avoid ance of duplication, and attainment of economies. But a centralized statistical agency was opposed, for as Lubin stated: “In terms of the usefulness of statistics, it proba bly is cheaper in the long run, despite the additional cost of duplicated overhead, to have smaller decen tralized units collecting data which are of maximum usefulness in formulating policies and solving problems, than it would be to have a centralized and consolidated statistical agency collecting data on a series of unrelated subjects, which data do not have the realism necessary to give them effective usefulness.” 11 Lubin’s role in the formation and functioning of the Central Statistical Board was persistent, and he urged Perkins to actively participate. He was among an unof ficial committee which proposed its establishment to members of the Roosevelt Cabinet, and then served on it as the Department of Labor representative.12 He obtained Perkins’ endorsement for a permanent Board. The legislation subsequently made the Board the joint responsibility of a Cabinet-level Central Statistical Com mittee, consisting of the Secretaries of Labor, Com merce, Treasury, and Agriculture. Lubin urged Perkins to press with President Roosevelt her claim to be chairperson. Perkins was designated chairperson of the Cabinet-level Central Statistical Committee, with Lubin serving as vice-chairperson of the Central Statistical Board. Lubin and Perkins were active in using the Board to meet the threat of duplication by the statistical activities of the National Recovery Administration (NRA) to the longstanding activities of BLS and other established agencies. Perkins wrote to Roosevelt and to Hugh Johnson, Director of the NRA, citing the duplication as resulting in refusals by some employers to continue to submit reports to Government agencies. Attention was called to investigations conducted by the Central Statis- tical Board, and to a Board resolution calling for an Executive Order rectifying the situation.13 Controversial order issued The Administrator for Industrial Recovery responded by issuing an order requiring industries under codes to furnish data directly to the Bureau of Labor Statistics, and Federal and State agencies working in cooperation with the Bureau. Some representatives of industry asso ciations questioned the order, so Lubin met with trade association executives to explain why the direct Govern ment collection was necessary for uniform and timely reporting.14 In meeting with representatives of State la bor departments and interested Federal agencies on the broad authority under the NRA order, Lubin cautioned on the need for care in maintaining and improving existing reporting relationships based on established voluntarism and confidentiality. While “under this order we have for the first time legal authority to secure these data,” Lubin cautioned, “We don’t want to use that power though, we would rather it would be a coopera tive venture . . . . These data are confidential and not to be used for enforcement purposes.”15 Perkins encouraged Lubin’s broader role including his participation in economic meetings at the White House. He prepared economic analyses for Perkins di rectly, and for the Cabinet-level Central Statistical Committee, of which she was chairperson. Lubin was elected by the committee to serve as secretary, and to prepare for the committee a periodic economic analysis and report, which would also be abstracted for presen tation to the National Emergency Council. Perkins wrote Roosevelt, that the “value of this arrangement would obviously be enhanced by Dr. Lubin’s member ship in the National Emergency Council. May I recom mend and request that you designate him?” 16 Lubin was soon called upon by the White House in a variety of situations. He participated in the discussions held by Roosevelt with business, labor, and government policy officials in meeting the recession of 1937 and soon after, Lubin was the first witness called at congressional hearings on unemployment.17 In June 1938, when the Temporary National Economic Commission was ap proved by Joint Congressional Resolution, following a Presidential message, a letter from the President called on Lubin to cancel a commitment to lecture at the Sum mer School of the University of California. Roosevelt re quested, “In view of the passage of the Wage and Hour Bill and of the Congressional resolution providing for an investigation into monopoly conditions in American in dustry, I think it would be helpful if you could arrange to remain in Washington until such time as the Monop oly Commission can formulate its agenda and the pre liminary organization necessary for the administration of the Wage and Hour Bill can be set in motion.” 18 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis The culmination of Lubin’s partial association with the White House occurred in May 1941, when he was appointed as special statistical assistant to President Roosevelt. Lubin as Commissioner Lubin’s primary goal for the Bureau, with Perkins’ encouragement, was the development of a professional ly-staffed organization prepared to meet the require ments of the rapidly evolving New Deal policies af fecting the status of workers. Not only were the ongoing statistical activities of the Bureau, particularly in employment and prices, to be improved and modern ized; appropriate analytical treatment would be given to these statistical reports. The Bureau’s programs in the field of labor-management relations were to be expanded to meet the requirements of new policies. These goals were intensified by the many special activi ties in which Lubin himself and the Bureau were in volved, as social and economic concerns of the De partment of Labor under Perkins were broadened to meet the burst of New Deal legislative development. The Bureau expanded substantially under Lubin’s di rection, but the process was slow and uneven. When he took over in 1933, the Bureau’s budget had just been cut from $580,400 to $450,000, with the staff reduced from 240 to 211, as part of overall economy measures. Emergency funds compensated for part of a further re duction the following year, with the staff increasing to 318. In succeeding years, the regular budget had more increases than decreases, and was supplemented by funds transferred from other agencies for special stud ies. By 1940-41 the regular budget had increased to about $1.1 million, and the staff to more than 800 (690 in Washington and 120 in the field). The annual report for the Bureau initially bearing Lubin’s imprimatur stressed that professionalization of staff and interpretation and analysis were to go hand in hand. The program needs in the price area were expressed in terms of consumer information needed to cope with the unwarranted increases allegedly due to the National Industrial Recovery and Agricultural Ad justment Acts. Employment data required expansion to permit assessment of the effects of industrial revival. Studies of industrial wages and hours required expan sion and greater currency to meet the code-formulating activities of the National Recovery Administration (NRA). In summary, the report stated, “Not only must raw data be improved but the Bureau must be enabled more fully to analyze the material it now has, so that evidence may be available as to where the recovery pro gram is having the greatest effect and where it is falling down. The Bureau is not at present in a financial posi tion to employ the economic analysts necessary for such interpretations.” 19 25 MONTHLY LABOR REVIEW April 1980 • Perkins, Lubin, and BLS The need for improvising to meet the gargantuan de mands of the emergency situation, and particularly of the NRA, was stated by both Perkins and Lubin at ap propriation hearings in December 1933. With BLS as suming responsibility to provide information for the codes, personnel were detailed from inside and outside the Department. As Perkins stated, “The Bureau of La bor Statistics has turned itself out . in order to get this information and to make it available in a form that was easily understood and readily used by people who had the responsibility of taking some action.” Lubin added that every labor group involved in any NRA code had had to go to the Labor Department for information. Lubin indicated the lengths to which ingenuity had had to be applied to meet pressing needs, absent ade quate resources: “I do not want to appear to boast, but I think I am one of the few officials who have actually gone out and borrowed people from other departments of the Government and put them to work during their spare time getting materials for which we would other wise have to pay.”20 Efforts take effect By mid-1935, it could be reported that improvements in organization and working methods had proceeded ef ficaciously. An industrial relations division had been established, and a survey of employer-employee rela tionships was underway. Statistical reporting had been improved with more commodities and communities cov ered in retail food reporting. The cost-of-living index, as it was then called, had been placed on a quarterly basis, from its former semiannual appearance, and reflected improvements in weighting and food price coverage. The monthly employment report continued to receive improvements. Benchmark adjustments to the Census of Manufactures were introduced for the first time— with coverage now extended for 50 percent of the wage earners of the country, including nearly complete cover age for employment resulting from Federal appropria tions. Efforts were being made to include in the regular industry wage surveys such matters as age of workers, length of service, annual earnings, occupational descrip tions, and personnel policies. An investigation of the ex penditures of employed wage earners in 1934 was expanded during 1935-36 to a broad investigation in which the Works Progress Administration, the Depart ment of Agriculture, and the National Resources Com mission collaborated with the BLS in the study of consumer purchases, which presented consumption esti mates for all segments of the population, both rural and urban. These provided the basis for the introduction of a comprehensively revised consumers’ price index in 1940. By the recommendation of an advisory committee to the President, an occupational outlook section was 26 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis established in the Bureau in 1939, but its initial intent to provide career guidance was not to be effectuated un til after the war. Instead, it was absorbed in projections of manpower supply and needs for defense industries. In this, Lubin’s specifications for the office and the duties of its chief were anticipatory of the defense and wartime role of this service. Lubin was ever on the alert for capable staff. A. Ford Hinrichs was brought in as chief economist, Sidney Wilcox had already been employed as chief statistician, and Aryness Joy joined the BLS staff as a senior econo mist. Young economists seeking employment in govern ment received ready encouragement from Lubin. He was readily accessible to staff, and stimulated interest in the expanding role of the Bureau. Before the American Economic Association, he proselytyzed for the role of government economists. He contrasted the limited and circumscribed environment of the academic researcher with the opportunities offered by “Federal economic re search, with its ramifications into the political and so ciological aspects of virtually every problem that comes within the public eye, and has a great opportunity to break down these barriers,” between economics, sociol ogy, and political science.21 The burdens confronting the Bureau during the NRA period slowed up the process of reorganization. Added to this were the special tasks assigned to the Bureau, and to Lubin himself by Perkins. For almost 3 years, as chairman of a Labor Advisory Board to the Public Works Administration (PWA), he dealt with questions relating to the referral of union and nonunion workers to construction projects, job opportunities for black skilled workers in view of their exclusion from building trade unions, observance of arbitration awards, and pre determination of wages. A trying situation in which Sec retary Ickes of the Interior Department was concerned that black workers should be issued work permits on certain PWA projects in Chicago, was personally mediated by Lubin. He obtained agreement for black employment of at least 13 percent of unskilled workers and 3 percent of skilled workers, the proportions shown in various crafts in the 1930 census.22 Criticized for making a wage determination of 40 cents an hour for unskilled labor in the South as excessive, Lubin re sponded that Congress had mandated a standard of liv ing of decency, not an “economic wage,” as contended by the contractors.23 Lubin served as chairperson of a board to settle a strike of citrus workers in Florida. The report of the board called on Secretary Henry Wallace to have the Department of Agriculture insist on inclusion of a code for labor-management relations in the market agreement approved for the citrus industry by the Agricultural Adjustment Administration. The subsequent failure to set such minimum labor conditions despite the urgency of the situation, was noted by Lubin.24 Lubin was designated by Perkins as chairperson of a departmental committee to look into the promotion of U.S. membership in the International Labor Organiza tion (ILO). Following U.S. entry into the ILO in Au gust 1934, the United States was represented for the first time at an ILO Governing Body meeting in Janu ary 1935, with Lubin as the Government delegate. The Bureau was given responsibility for the administrative arrangements for the permanent Geneva representation, including requests for appropriations in its budget.25 Lubin continued to attend these meetings, particularly those involving planning for international instruments on statistical standards and hours of work.26 The mutually supportive relations between Lubin and Perkins were often explicitly recognized in stressful situ ations. When a resolution of Congress called on the Secretary of Labor to make a study of the economic needs of migratory labor, which Lubin indicated the Bureau would undertake, Perkins’ reaction was “I have the feeling that everything that is difficult gets to you.” Shortly thereafter, preparing suddenly to go on vaca tion, Perkins not having had time to say goodbye to Lubin, wrote: “I want to thank you sincerely for all that you have done to make the work of the Depart ment a success and to tell you how much it means to me personally to realize the loyalty, interest, and integ rity with which you are carrying on the work of your Bureau.”27 In his turn, when the U.S. Employment Serv ice was transferred from the Department of Labor to the Federal Security Administration, with a like possi bility for the Children’s Bureau, Lubin urged that “all of us should use every means to keep constantly before the President the fact that transfer is inimical to the in terests of American labor . . . . ”28 External relationships Lubin’s ability for effective relationships was crucial to the workings of the Bureau in a period of substantial changes in the role of government. His straightforward, direct approach with representatives of labor organiza tions, of major companies and trade associations, and the press, made him influential in all these areas. This was evident even as he analyzed the Bureau’s data, and as he indicated his views on major economic issues. Early in his administration, Lubin called a meeting of labor union research staff members, to meet with the BLS and the Advisory Committee to the Secretary of Labor. Reporting on the committee’s statistical review, and the rapid introduction of accommodating changes by the Bureau, Lubin stated: “The ultimate purpose is to provide statistics which will do for the wage earner of this country what the Department of Agriculture is doing for the farmer, that is, supply laboring people with information as to what is happening in such detail https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis that they can make their own plans and develop their own programs.” The institution of the Labor Informa tion Service, in the form of a monthly bulletin was also announced, for “the attention of local officers and the intelligent members of locals, so that these people will know what is happening. . . . in the country as a whole as well as in his own particular industry.”29 Relations with the trade union research staff members continued on an informal basis until June 1940, when a formal and continuing advisory relationship was established. Salutary relationships with management, as extensive ly as possible, had been an inherent requirement for the Bureau’s conduct of its activities, particularly in wage studies and employment data collection. Lubin contrib uted greatly by maintaining personal relationships with many corporate executives, in which he candidly ex changed views on major issues. He was intimately in volved in resolving issues which might threaten the Bureau’s activities, and generally, his directness and persuasiveness kept such occurrences minimal. Sensitivities developed, but were overcome, over a Bureau study on the delicate subject of company unions, of interest to Perkins, Lubin, and Francis Bid dle, chairperson of the National Labor Relations Board. This study, in 1934, was intended to obtain a proper picture of these organizations to meet the needs of the two labor agencies. At an estimated cost of $15,000, Perkins’ proposal for a joint study was accepted in short order.30 David Saposs, who had just completed a study on the subject for the Twentieth Century Fund, was hired as director of the study. At an informal meet ing of BLS with American Federation of Labor repre sentatives, the latter expressed some uncertainties over such a study, suggesting emphasis on the study of col lective bargaining agreements, rather than what was viewed as merely “an arm of management.”31 In September 1935, Lubin reported to Perkins on the interest stimulated among union officials in the study, and their requests to have the report issued as soon as possible. “Somehow or other a rumor has been spread that this bulletin may be suppressed.”32 The preliminary report in the Monthly Labor Review stirred up a tempo rary tempest.33 A communication from the National As sociation of Manufacturers advised Lubin that some member firms of the association, some of which had participated in the survey, now felt that the conclusions might be misleading as to the employee representation plans. The opportunity to discuss the matter was of fered, and immediately accepted by Lubin, who re sponded: “If members of the NAM feel that our study on company unions attempts to establish standards of employee representation plans which may result in mis leading conclusions as to their functions and operations, I want very much to secure their full and unbiased opinions.”34 Immediately thereafter, the Journal of Com27 MONTHLY LABOR REVIEW April 1980 • Perkins, Lubin, and BLS merce was to report: “Although resentment in industri al circles against the recent study on company unions prepared by the BLS continues high, it now seems doubtful an organized boycott will result.”35 The relations between the automobile industry and BLS also underwent a period of difficulty. In January 1936, the Automobile Manufacturers Association ad vised the Bureau that information for individual compa nies in the industry would no longer be furnished directly to the Bureau, and that individual plants would not be identified, except by a code to make monthly comparisons for individual plants. Lubin wrote the as sociation that he viewed this “as a one-way proposition, with the Bureau being placed in the position where it can have only what the association says it should have and not what it feels it needs for its own use. . . . I frankly cannot continue in the uncomfortable position I find myself in of warding off questions concerning our automobile figures.” Lubin continued to press the mat ter, and it was finally resolved in late 1937, when the Manufacturers Committee of the Automobile Manufac turers Association authorized the forwarding of individ ual reports to the Bureau.36 Lubin was constantly concerned with the press’ understanding of the Bureau’s work, and with stressing clarity and style in the presentation of Bureau data. A critical editorial on the style of a Bureau press release resulted in the formulation of principles to ensure effec tive use of Bureau reports. These guidelines included: “Ideally, (a) technically competent persons should al ways be able to detect from the record any possible shortcomings in our work, and (b) others who follow us should be able to determine from the printed record ex actly what we have done.”37 Economic analysis stressed Lubin’s interests in labor economics in an institution al setting, and in related areas such as industrial prices, unemployment, and social security, were actively pur sued throughout his direction of BLS. His emphasis on analysis along with the improvement and extension of the Bureau’s statistical programs was apparent in his activities and public statements. He was called upon to represent the Bureau, the Department of Labor, or both, in a number of landmark Congressional hearings. Lubin would make statistical presentations that went to the heart of the matter and would draw on his extensive experience and perception to comment on the policy questions involved. His ready, direct, and stimulating responses raised no doubt about his objectivity and im partiality. Nor was there ever any question regarding his political independence as Commissioner. Several basic themes were apparent in Lubin’s public expressions during his commissionership. Shortly after his appointment, while he was not in sympathy with the 28 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis price-fixing and production-restricting aspects of the National Industrial Recovery Act, he found important justification in it based on the single maxim, that the welfare and profits of no private business shall interfere with the welfare of the nation as a whole. . . . With NRA setting the rules for industry, competition was not eliminated, and “employers with a social conscience are assured that they will no longer be compelled to conform to the standards of competitors with blunted social sensibilities,” Lubin said. Further, he saw the greatest contribution of NIRA to social progress as ly ing “in the guarantee it gives workers to organize and bargain collectively through representatives of their own choosing.”38 Complementary was his view that underconsumption resulting from inequitable distribution of income in the 1920’s had been a major contributory factor in the Great Depression. These views were expressed in his testimony at the hearings on the Fair Labor Standards Bill in 1937 and in his extensive presentation in opening the Temporary National Economic Committee hearings in 1938. Calling attention to the evidence of the consumer ex penditure survey of 1936-37, that 54 percent of the 29 million families in the United States, had incomes below $1,250 per year, Lubin said, “A more equitable distri bution of income is more than an ethical problem. . . . To me it is a problem of keeping the gears of the eco nomic machine constantly in mesh.”39 Lubin and the Bureau staff were prominent in the work of the Temporary National Economic Committee (TNEC) from 1938 to 1941. Lubin was designated as the Department of Labor representative, with A. Ford Hinrichs as alternate. Lubin played a major role in planning the work of the committee, and as analyst of trends utilizing data and analyses prepared by the Bu reau staff and occasional outside consultants. He made recommendations to the committee as an expert labor economist representing the Department of Labor. Aryness Joy directed the Bureau’s staff work for the TNEC, which included the preparation of monographs reflecting analytical and case study approaches Lubin had viewed as essential to the role of the Bureau. The economic climate changed with the defense prep arations underway after the start of World War II. The TNEC hearings and Lubin’s periodic testimony in 1939 and 1940 reflected the new circumstances. But again, the basic concerns in Lubin’s ideas were reformulated in order to set long-term goals which drew on past experi ence and continuing socioeconomic trends. In an inci sive analysis of the factors affecting the productivity of labor, he pointed out that the effects of technological change would be moderated as the economy absorbed more employees. Calling attention to the costs directly borne by displaced workers, in contrast to the tax treat- ment of obsolescence of machinery, he urged the com mittee “to give consideration to the feasibility of a com pulsory dismissal wage to be tied up in some way or other with the unemployment insurance system.”40 Lubin, w ho. had been the leadoff witness at the TNEC hearings in 1938, was also one of the final witnesses appearing in March 1941. He was now an of ficial of the Office of Production Management, as well as a member of the TNEC and a representative of the Department of Labor /Bureau of Labor Statistics. He pointed to the major changes which had occurred be tween 1932, and even between 1938, and 1941: “In 1941 we are strong. In 1932 our morale was pitifully low. The assumption of responsibility for the welfare of individual citizens by the Government in the intervening years has been partly responsible for this change.” He urged the TNEC to sift out the practical aspects of the problems presented, to formulate a program to ensure “that never again does a catastrophe occur like that which overwhelmed us in the 1930’s. . . . ” —a program fitting, “into our traditions of private enterprise and pri vate ownership.”41 The war years Lubin’s full-time direction of the Bureau came to an end in June 1940, although he remained as Commis sioner on leave until January 1946. On June 15, 1940, Perkins announced that at the request of Sidney Hill man of the National Defense Committee, Lubin had been assigned to serve as an assistant to Hillman, but was to retain his position as Commissioner. In a memo randum to A. Ford Hinrichs, designated as Acting Commissioner, Lubin stated, “In general you are autho rized on your own responsibility and without reference to me to represent the Bureau of Labor Statistics in any matters which may arise and to make any decisions that may be necessary either with reference to policy or in ternal administration.” However, he would continue to be available to Hinrichs “on all matters of fundamental policy.”42 The next year, President Roosevelt called for Lubin’s assignment to the White House. On May 12, 1941, Per kins wrote to Roosevelt that: “I am very glad to com ply with your request to assign to your office and for your assistance Mr. Isador Lubin . . . while Mr. Lubin will, I know, give you great assistance, his entire staff in the Department of Labor will be at his disposal to as sist him in the inquiries he will make for you.”43 There were continuing calls for advice from Lubin by Perkins during the war years. She called upon him for his views on coordinating the activities of the BLS with those of the Bureau of Employment Security in the War Manpower Administration. His response was to oppose any intimation of the possibility of the transfer of any work from BLS.44 He was also called upon for planning https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis in connection with the ILO Conference in Philadelphia in 1944. Lubin’s White House assignments as economic and statistical adviser were varied. Immediately, he was in volved in analyzing the economic effects of shifts in pro duction to lend-lease requirements, and in discussions relating to economic stabilization. He went to London temporarily to assist W. Averill Harriman, coordinator of U.S. supplies to Britain. In March 1945, he was des ignated associate U.S. representative on the Allied Commission on Reparations, and spent much time ex amining conditions abroad at the end of the war.45 Lubin resigns as Commissioner Giving personal obligations as his reasons for leaving public service, Lubin resigned in January 1946. (Perkins had resigned as Secretary of Labor in 1945.) President Harry S. Truman accepted his resignation as Commis sioner of Labor Statistics, but stated that he would continue to regard him “as a public servant whom I shall feel free to call upon whenever the occasion war rants. . . . For 13 years you have without hesitation giv en of your time and energy to the service of your government. You built up the Bureau of Labor Statis tics into an institution that has commanded the respect of all recognized leaders in the field of economics and statistical science, as well as of labor and management throughout the country.”46 Lubin expressed his own assessment of the role of the Bureau on the occasion of the Bureau’s 70th anniversa ry in 1954. He observed that the “Bureau’s data have always played an important part in the formulation of Federal policy,” reinforcing the constant recognition by the Bureau of the need for continuing “improvements in collection procedures and technical standards and in willingness to have its work periodically reviewed.” But he expressed concern for the need for continued empha sis “of the considered analytical studies which have marked its work in the past.”47 In 1966, Lubin wrote a eulogy for David Saposs, in honor of his 80th birthday. The eulogy is equally appli cable to Lubin: “Everything that he has undertaken to do he has done with real distinction. His interest in the various fields in which he has been engaged has not been that of an intellectual. It has been the outgrowth of a deep feeling for needs of mankind and the convic tion that things could be improved in this world of ours.”48 □ --------- F O O T N O T E S ---------1The centennial of the birth of Frances Perkins, appointed as Secre tary of Labor by President Franklin D. Roosevelt in 1933, was ob served on Apr. 10, 1980. She died in 1965. 2Lewis Lansky, I s a d o r L u b in : T h e I d e a s a n d C a re e r o f a N e w D e a l 29 MONTHLY LABOR REVIEW April 1980 • Perkins, Lubin, and BLS Economist, 1976, Case Western Reserve (microfilm), pp. 97-102. U.S. Congress, Senate Committee on Manufacturing, Hearings on S6215, E s ta b lis h m e n t o f a N a tio n a l E c o n o m ic C ou n cil, 72nd Congress, 1st Ses sion, 1931, p. 736. 3Joseph W. Duncan and William C. Shelton, R e v o lu tio n in U n ite d S ta te s G o v e r n m e n t S ta tistic s, 1 9 2 6 - 1 9 7 6 , U.S. Department of Com merce, 1978, p. 137. 4 Stewart testimony, Department of Labor Appropriation hearings, 1928, January 1927, p. 27. 5 Ralph Hurlin and W. Berridge, E m p lo y m e n t S ta tis tic s f o r th e U n it e d S ta tes , 1926, p. 30. 6 E m p lo y m e n t S ta tistic s, pp. 3-1 9 . Charles E. Baldwin, BLS Chief Statistician, and Royal Meeker were among the members of the com mittee with Mary Van Kleeck of the Russell Sage Foundation as chairperson. 7Senate Committee on Education and Labor, Hearings on S. Res. 219, U n e m p lo y m e n t a n d S y s te m s f o r P re ve n tio n a n d R e lie f, 1928-29; together with Senate Report 2072, 70th Congress, 1st Session, 1929, pp. 179-187, 491-510. 8Public Papers of President Herbert Hoover, News Conference of Jan. 21, 1930, p. 28; T h e N e w Y o rk T im es, Jan. 23, 1930, p. 11; Feb. 20, 1930, p. 24. 4 T h e N e w Y o rk T im es, July 3, 1932, p. 15. 10George Martin, M a d a m S e c re ta r y : F ra n ces P e r k in s (Houghton Mifflin Co. Boston, 1976.) p. 303. " Lubin to LaDame, Nov. 16, 1938 (Perkins’ Files, National Ar chives). 17 DOL Appropriation Hearings, 1935, December 1933, p. 57; Dun can and Shelton, R e v o lu tio n in U .S. G o v e r n m e n t S ta tistic s. ' Perkins to the President, Aug. 23, 1933; Perkins to Hugh Johnson, Aug. 7, 1933; Resolution of the Central Statistical Board, Aug. 14, 1933 (Perkins’ Files, National Archives). 14 Roscoe Edlund, Association of American Soap and Glycerine Producers, Inc. to Isador Lubin, Mar. 22, 1934; Lubin to Edlund, Apr. 4, 1934 (BLS Files, National Archives). ''Transcript of meeting May 19, 1934 (BLS Files, National Ar chives). '"Perkins to Roosevelt, Mar. 30, 1936 (Perkins’ Files, National Ar chives). 1 T h e N e w Y o rk T im es, Nov. 9, 11, 14, 1937; Jan. 4, 5, 1938. 18 Roosevelt to Lubin, June 16, 1938 (BLS Files, National Archives). ' D e p a r tm e n t o f L a b o r A n n u a l R e p o r t f o r Y ea r E n d in g J u n e 30, 1933, p. 41. "Appropriation Hearings, 1935 Bill, held Dec. 13, 1933, pp. 11, 50. 1Isador Lubin, “Government Employment as a Professional Career in Economics,” A m e ric a n E c o n o m ic R ev ie w , Vol. XXVII, No. 1, Sup plement, March 1937. 22 Lubin to Frances Jay, Oct. 25, 1935 (BLS Files, National Ar chives). 'Lubin to Turner W. Battle, Oct. 31, 1933 (BLS Files, National Archives). 24 Lubin letters to Wallace, Mar. 26, Apr. 13 and 16, 1934 (BLS Files, National Archives). ' Lubin to Perkins, Nov. 22, 1933 (BLS Files, National Archives): T h e N e w Y ork T im es, Aug. 21, 1934; Jan. 30 and 31, 1935. This con tinued for 12 years, until a separate Bureau of International Affairs 30 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis was established in the Department in 1946. 26 T h e N e w Y o r k T im es, Oct. 10, 1937, T h e N e w Y o rk T im es, Aug. 5, 1939. ‘ Perkins to Lubin, July 11, 1936; July 21, 1936 (BLS Files, Na tional Archives). 28 Lubin to Perkins, May 5, 1939 (BLS Files, National Archives). 24 Minutes of meeting of labor union statisticians, Department of Labor (mimeo), May 18, 1934. “Perkins to Biddle, Jan. 10, 1935; Biddle to Perkins, Feb. 7, 1935 (Perkins’ Files, National Archives). Perkins commenting on a report by the National Industrial Conference Board, which found greater numbers of workers in company or independent unions than in the AFL, said: “The significance of the report lies in the fact that no at tempt has been made to define company unions. As you know, there are thousands of little associations of workers in individual plants throughout the country, any of which, since they are sponsored by employers might be considered as company unions. If, however, one is to define a company union as a collective bargaining unit, it is doubtful whether we would find anywhere near the large number of such organizations as is implied in the report of the NICB.” 31 Hinrichs to Lubin, Apr. 2, 1935 (BLS Files, National Archives). 32 Lubin to Perkins, Sept. 3, 1935 (BLS Files, National Archives). 33 “Extent and Characteristics of Company Unions: Preliminary Re port,” M o n th ly L a b o r R e v ie w , October 1935, pp. 865-876. 34 Noel Sargent, Secretary, NAM to Lubin, Oct. 11, 1935; Lubin to Sargent, Oct. 14, 1935 (BLS Files, National Archives). 3 J o u r n a l o f C o m m e rc e , Oct. 15, 1935. 36 Lubin to Andrew Court, Apr. 13, 1936; Lubin to Stephen DuBrul, General Motors, Apr. 13, 1936. DuBrul, General Motors to Lubin, July 28, 1937; Lubin to DuBrul, July 30, 1937. Court to Lubin, Aug. 17, 1937; Lubin to Court, Aug. 21 and Sept. 11, 1937. Lubin to W. J. Cronin, Dec. 2, 1937 (BLS Files, National Archives). 37 Lubin memo to Division Chiefs, Mar. 1, 1940 (BLS Files, Nation al Archives). 38 Isador Lubin, Social Implications of NRA, P ro g ressive E d u c a tio n J o u rn a l, Oct. 1933. wTemporary National Economic Committee, Investigation of Con centration of Economic Power, Dec. 1, 1938, p. 79; T h e N e w Y o rk T im es, Dec. 21, 1938. 40 Ibid, Part 30, Technology and Concentration of Economic Power, 1940, pp. 17258-17263. 41 Ibid, F in a l R e p o r t a n d R e c o m m e n d a tio n o f th e T .N .E .C ., Docu ment No. 35, 77th Congress, 1st Session, Mar. 1941, pp. 517-538, 542, 551-554. 42 Lubin to Hinrichs, July 1, 1940 (BLS Files, National Archives). 43 Perkins to Roosevelt, May 12, 1941 (Perkins’ Files, National Ar chives). 44 Lubin to Perkins, May 6, 1942 (Perkins’ Files, National Ar chives). 4' Th e N e w Y o rk T im es, May 22, 1942; Sept. 4, 1942; Dec. 9, 1942; Mar. 16, 1945. 46 T h e N e w Y o rk T im es, Jan. 26, 1946. 47 Isador Lubin, “The BLS Program — A Review and Some Sugges tions,” M o n th ly L a b o r R ev ie w , January 1955, pp. 31-33. 48Jack Barbash, “The Labor Movement: A Re-Examination: A Conference in Honor of David J. Saposs,” The University of Wiscon sin, 1966, p. iii. Frances Perkins’ interest in a new deal for blacks The black-oriented programs of the Nation's first female Cabinet member may seem modest by today's standards; however, in her time she was a pioneer, who made the welfare of blacks a priority of the Department of Labor H e n r y P. G u z d a As Secretary of Labor from 1933 to 1945, Frances Perkins^adhered to the principles of equality for all. A for mer social worker, Perkins conceived the Department of Labor to be the listening post for the Government, “the place where the poor people of the Nation could come with their complaints and obtain assistance.” 1 She made it quite clear that no one would be denied assistance because of race, creed, or religion. Blacks, in particular, needed help during the Depression, and Per kins offered assistance, although critics claimed her pro grams were simple tokenism. Yet, as one author stated, “It was all tokenism, perhaps, but blacks hadn’t been able to get even tokens in the past.” By making social welfare the No. 1 priority of the Department of Labor, Perkins ran afoul of traditional values. Her appointment, by the nature of her sex, was opposed by many labor leaders who viewed the Labor Department as their own. Of President Franklin D. Roosevelt’s circle of advis ers, Perkins was not the only member considered a champion of black causes. Black leaders also turned to Works Project Administrator Harry Hopkins and Sec retary of Interior Harold Ickes. Together, this troika would often pool its efforts to advance the social prog ress of blacks, calling on Eleanor Roosevelt for addi tional help.2 Henry P. Guzda is a historian in the U.S. Department of Labor. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis First experience— a lasting one The social awakening of Frances Perkins began when, as a student at Mount Holyoke College, she visited the grimy factories that dotted the landscape of the Con necticut River Valley. Another strong impact was Jacob Riis’s exposé of urban slum life in How the Other Half Lives.3 Riis’s descriptions and photographs seared Per kins’ imagination, and throughout her life the impact of that book remained. As a young social worker, she dealt directly with poor blacks for the first time when she secured a job with the Philadelphia Research and Protective Associa tion. Both immigrant and black girls traveled to Philadelphia searching for employment in the booming city. They were met at the boat piers or railroad termi nals by unsavory agents who offered them lodging and employment as prostitutes. The Philadelphia Protective Association assigned Perkins and two black assistants to meet the new arrivals and direct them to reputable boardinghouses and employment agencies. Perkins was instrumental in the closing down of several of the disruptable agencies. City officials, drawing upon rec ommendations from the Protective Association, eventu ally required licensing for lodging houses.4 ‘New deal’ or raw deal? “Will the New Deal be a Square Deal for the Negro?” asked Jesse Thomas, a field representative for 31 MONTHLY LABOR REVIEW April 1980 • Perkins'Interest in Helping Blacks the National Urban League. Would President Roosevelt simply pay lip service to blacks and ignore them after the elections? Black leaders had every right to be skepti cal about the “New Deal.” Roosevelt had served under President Woodrow Wilson and Navy Secretary Jose phus Daniels in the early 1900’s “with no visible dis comfort,” and both men were segregationists. And, as governor of New York, Roosevelt demonstrated little interest in civil rights. Civil rights leaders, however, had no doubts about Perkins, his choice for Secretary of Labor. Oswald Gar rison Villard, former executive secretary of the National Association for the Advancement of Colored People, said, “When I think of Frances Perkins’ point of view, it seems to me that she will be an angel at the Cabinet table. . . .”5 Will Alexander, a respected white civil rights leader from the South, commented that Perkins was committed to the principle that black Americans had the right to all the opportunities enjoyed by other Americans.6 If there were any doubts concerning Perkins’ position on equal rights, they quickly dissipated. Soon after tak ing office, the Secretary received complaints from some Southern white employees that black clerical workers were eating lunch in the “whites only” cafeteria. The previous policy kept facilities segregated under the guise that one was for blue-collar workers and manual labor ers and one was for white-collar workers. Perkins re plied that the black clerks were white-collar workers, and therefore, violated no rules by eating where they did. Shortly afterwards, she abolished dual facilities al together. One of the reasons behind this incident was the in crease in employment of blacks at the department. Previously, blacks, with few exceptions, worked as mes sengers, custodians, and in similar positions. Between 1933 and 1936, however, the department added 129 black employees, many in clerical positions. Perkins revived the U.S. Employment Service and added 78 blacks there. She insisted that the U.S. Em ployment Service treat all citizens with impartiality re gardless of race, color, or creed. In States with a high percentage of blacks in the population, she saw to it that blacks were represented on the U.S. Employment Service staff. The special Negro Placement Service in the employment offices surveyed the conditions of blacks and the prevailing racial attitudes of the local community. U.S. Employment Service officials used the data to determine the size and movement of the local black population, and the available job opportunities.7 Progress came slowly, and while the number of appoint ments and placements left much to be desired, it was a beginning. During the Depression, many employers fired black workers, replacing them with whites. At the Labor De 32 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis partment, several black elevator operators told Secre tary Perkins of their impending dismissal to create jobs for unemployed whites. (Perkins knew some of the op erators personally, because she used the public eleva tors, rather than her private one.) She ordered the building contractor to keep the black operators, arguing that blacks had held those jobs since the 1920’s when no one else wanted them.8 Integrating cafeterias and protecting the job security of elevator operators were noble gestures, but they did little to help the majority of black Americans. Blacks suffered particularly hard during the Depression. The National Urban League said that black unemployment was 30 to 60 percent greater than white unemployment. The Government did not systematically collect statistics on joblessness for any group until about 1940, but the Bureau of Labor Statistics estimated that in 1933, the worst year of the Depression, about 25 to 35 percent of the civilian labor force was out of work. Black leaders petitioned their friends in Washington, including Eleanor Roosevelt, Secretary of the Interior Ickes, and Labor Secretary Perkins, to initiate special programs for destitute black Americans. Ickes ap pointed Clark Foreman, a white civil rights leader, as Adviser for Negro Relations to the Interior Depart ment; however, Foreman acted as adviser to the entire executive branch. At Foreman’s suggestion, Frances Perkins regarded the welfare of the black worker as special to the Labor Department: she appointed her own adviser for Negro affairs, took steps to study the problems of black work ers, and arranged for employment bureaus for blacks. The Women’s Bureau gave special attention to black women workers and, similarly, the Children’s Bureau became concerned with black child labor. Perkins once stated that one of the best ways to pro tect the interest of the workers needing the most protec tion was to “look, see, and report.”9 By publicizing the facts of discrimination against blacks, she hoped to stimulate reform. The Bureau of Labor Statistics report ed the proceedings of an immense conference of civil rights leaders and their recommendations on solving black unemployment problems and also published the findings of Robert Weaver, the highest ranking black in the Government, which refuted the theories that the overrepresentation of blacks on the relief roles was from a lack of initiative or innate inferiority. Other studies conducted by the Department of Labor corroborated Weaver’s findings. With unemployment so high, white workers accepted jobs which paid marginal wages, often replacing black workers. The department also found that very few blacks worked in the skilled trades because union locals barred them and controlled apprenticeship for entry into the trades. When the gov ernment passed legislation beneficial to organized labor, it often penalized those few blacks in the skilled trades because the majority of a craft or class determined rep resentation. In addition, Labor Department researchers found that 25 percent of all employed blacks worked as domestics and, as the Depression worsened and strained everyone’s budget, were among the first to lose their jobs.10 Division of Negro Labor. Black leaders had been urging the Secretary of Labor to appoint an adviser to coordi nate activities in the department that dealt with the spe cial problems of Negro labor. Assistant Secretary Edward McGrady represented Perkins at several confer ences on Negro labor. She appointed another white, George Arthur of the Rosenwald Foundation (a civil rights organization), to the National Advisory Commit tee of the U.S. Employment Service. Perkins also established a committee, composed of the chiefs of the Women’s Bureau, Children’s Bureau, and the Bureau of Labor Statistics, to study how the Government could improve the health and welfare of blacks. These actions did not appease civil rights groups; they wanted a mem ber of their own race to represent them in the Depart ment. Early in 1934, Perkins appointed Lawrence Oxley, a commissioner of conciliation for the department, as di rector of the newly formed Division of Negro Labor. The Division of Negro Labor functioned as Perkins’ personal advisory agency on the problems of black workers. Oxley was responsible for coordinating the ac tivities of the various bureaus which were concerned with blacks, and representing the Secretary in all labor affairs concerning blacks. The Division of Negro Labor was a remnant of the Division of Negro Economics, set up by Secretary of Labor William B. Wilson to handle interracial manpower problems during World War I. (Wilson had tried to make the Division of Negro Eco nomics permanent, but Southern congressmen refused to appropriate funds.) A major difference between the two was that the Division of Negro Labor commission er had some influence in alleviating unemployment of blacks through use of the U.S. Employment Service. (Oxley was made an adviser to the director of the U.S. Employment Service.) Public construction projects. A landmark program co sponsored by the Departments of the Interior and La bor provided employment for black workers in Public Works Administration (PWA) projects. Local PWA ad ministrators and U.S. Employment Service agents set aside a percentage of funds to hire black workers on public construction projects in areas predominantly populated by blacks. (In the early 1970’s, such pro grams—the Philadelphia Plan, for one— would be hailed as a major innovation in the promotion of equal https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis employment opportunity.) Organized labor approached the arrangement with less than enthusiasm. The Washington Building Trades Council argued against using nonunion labor on public construction projects. Lawrence Oxley countered that few blacks belonged to unions and that despite the af firmation of the American Federation of Labor to erase the color line, many local trade organizations still de barred blacks. The Department of Labor ordered U.S. Employment Service agents to secure work permits for unaffiliated black workers to ensure them representation on construction projects. Several projects failed to meet the obligation of such arrangements, but most sites complied. The blue eagle strikes The National Recovery Administration (NRA) brought hopes of a new era for most Americans. The NRA suspended antitrust laws so that industries could agree on “fair trade” codes intended to lessen competi tion and raise wages; recognized labor’s right to bargain for workers; and got employers to agree to a 35- to 40-hour workweek and to pay minimum wages of $12 to $15 a week. Establishments adhering to these codes displayed a blue eagle, the NRA symbol. Black Americans, at first, rallied around the blue ea gle, little realizing that for some of them it was about to become a bird of prey. The black press called the pro gram “a lifesaver to the colored American.” New Deal ers thought stimulation of the economy by consumer purchasing power was a key to ending the Depression and that the NRA would provide that stimulus. In a short time, black leaders began to see the NRA in less glowing tones. Southern employers were using the codes to replace blacks with whites or were writing new codes which allowed a regional differential by which workers in the South would receive considerably less than workers in the North. (Most of the time these were racial, rather than geographical, differentials.) Southern employers defended their discriminatory dif ferentials, saying that blacks in the South traditionally received lower wages because they were inefficient and innately lazy, and that if there were no differentials, they would have to replace their black workers with white ones. When Perkins testified before Congress on the Na tional Recovery Administration, it was clear her sympa thies were with the blacks. The purpose of the NRA, she stated while testifying before a hearing on “fair trade” codes in the iron and steel industry, was to re vive the purchasing power of the wage earners. Supplied with information gathered by Oxley, she argued that re gional wage differentials should be dictated by the cost of living. “The low rates for the Southern districts are presumably based on the predominance of Negro labor 33 MONTHLY LABOR REVIEW April 1980 • Perkins'Interest in Helping Blacks in those districts,” she said, “but Negroes are also consumers. Their cost of living is not lower than the living costs of the whites; it is rather that they live dif ferently on a lower standard.” 11 The codes for the steel industry on a racial basis were denied, and instead a geographical differential was adopted for all workers. Southern employers appealed for special exemptions, arguing that obsolete and inefficient plants would be closed if they had to pay blacks at the same level as whites. Perkins ordered an investigation into one of the most publicized cases, that of the Southland Manufac turing Co. The 300 blacks employed at the plant were paid $9 a week. Company executives told the appeals board that they could not operate if they had to pay the extra $3 a week as prescribed in the codes. Howev er, investigators found no legitimate reason for an ex emption, and the board ordered Southland to pay $6,100 in back wages. Three months later, Southland’s parent company, Reliance Manufacturing, closed the plant. The NRA investigated the case. The president of Re liance Manufacturing claimed that the plant had operat ed in the red, “on account of the characteristics of the people who have not had the experience and back ground, and their racial characteristics.” 12 Perkins assigned Esther Peterson of the Women’s Bu reau to work with Oxley on obtaining the facts on Southland. They found that other Reliance Manufactur ing plants had records no better than Southland, that the Southland plant had a notoriously long record of using convict labor, operating under sweatshop condi tions, and employing blacks to keep out organized la bor, and that the assertions of Negro inefficiency were false. They also provided figures showing that the Southland plant did not operate in the red and that it made a profit.13 The NRA denied the exemptions for a second time. Black leaders and Perkins breathed easier, but 300 blacks had lost their jobs. And, in many areas throughout the South, blacks lost their jobs because employers refused to pay them the same wages as whites. Stepping stone for young men One of the most disturbing problems of the De pression was unemployed youth. After Roosevelt took office, he sought to harness some of that young man power and at the same time refurbish the Nation’s erod ed and scarred landscapes. Frances Perkins testified in favor of his plan before Congress. It passed, and the Ci vilian Conservation Corps was born. The administration of the corps was interdepartmen tal. The Deparment of Labor selected the young men for the program through the U.S. Employment Service; the War Department fed, clothed, housed, and condi tioned them; and the Agriculture and Interior Depart 34 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis ments chose the work projects. The young men lived in camps and planted trees in virtually every section of the country. They received $1 a day, a good portion of which went home to their parents. Oscar De Priest, the only black congressman, had at tached a rider to the bill which stated “that no discrim ination shall be made on account of race, color, or creed.” However, selection of young men for the corps had barely started, when Perkins received complaints from civil rights leaders that in many sections of the South, U.S. Employment Service agents were excluding blacks from the Civilian Conservation Corps. Among the most flagrant discriminators were agen cies in the State of Georgia. And, it was only after Per kins threatened to suspend the program for the entire State, that Georgia Governor Eugene Talmadge unen thusiastically agreed to enroll blacks. But Georgia violated the agreement frequently, and U.S. Employment Service Director Edward Persons wanted to suspend Civilian Conservation Corps activi ties in the State. He drafted a letter to that effect, but Perkins discouraged him from sending it to Talmadge. She knew that the President needed the support of Southern politicians for many of his programs and would not embarrass Roosevelt if she could help it.14 The Department of Labor experienced similar dif ficulties in other Southern States, though never so ma jor as in Georgia. Persons succeeded in persuading many areas to enroll blacks, although not as many as he felt was justified. Alabama, for example, placed 776 Negroes, the highest number, while Mississippi, with the largest population of blacks in the South, placed only 46. A critical point for the Civilian Conservation Corps came in the summer of 1935 when unrest among white communities over black camps reached a tender stage. California, Arkansas, and, especially, Texas wanted a halt in black placements. Civilian Conservation Corps Director Robert Fechner told Persons that the situation in Texas posed a special problem and that suspension of black enrollment might be a good idea. Persons ada mantly opposed suspension, and wrote to Perkins, The CCC has never adequately fulfilled its opportunities for the selection of colored enrollees. For us now to expressly deny the right would be an indefensible procedure. Perkins agreed that the black camps should not be sus pended. However, President Roosevelt perused the re ports submitted by both sides and termed the situation “political dynamite,” 15 and the Department of Labor bowed to political pressure. Even the harshest critics of the New Deal admitted that blacks benefited from the Civilian Conservation Corps. Of the 2.5 million men enrolled during its 9 years of existence, 200,000 were black. Almost 87 per- cent of the black enrollees participated in an education program. And, while the education they received did not open all the doors of opportunity, it was a forward step. Colorblind assistance Perkins had lobbied long and hard for passage of the Social Security Act of 1935 and was disappointed that the Department of Labor did not administer all its pro visions. The act grew out of the many changes in the American experience. It set up bulwarks against new kinds of economic insecurity which threatened Ameri cans during the Depression. The act protected people who were too young or too old or were physically handicapped. It authorized Federal grants to enable States to broaden and extend regular allowances for needy mothers, the blind, and the aged. It also provided grants for child welfare, crippled children, and physical ly handicapped people with potential for useful work. The provisions for child welfare were especially bene ficial in rural areas of the South, where a good number of the children were black. T h e b l a c k -o r i e n t e d p r o g r a m s and policies initiated under Perkins’ direction seem modest by today’s stand ards. The fact that she would forgo her social beliefs to protect the President from political embarrassment might seem hypocritical. But, the programs she started left a legacy for programs of the 1960’s and 1970’s. □ FOOTNOTES ' David Mac Eachron, “The Role of the U.S. Department of La bor,” Ph. D. dissertation, 1953, p. 60. 2 Nancy Weiss, T h e N a tio n a l U rb a n L e a g u e (New York, Oxford University Press, 1974), p. 272. Jacob Riis, H o w th e O th e r H a l f L iv e s (New York, Charles Scribner's Sons, 1890), p. 52. 4 George Martin, M a d a m S e c r e ta r y (Boston, Mass., Houghton Miff lin Co., 1976), pp. 65-68. 5Oswald Garrison Villard, “Issues and Men: And a Woman,” N a tion, Mar. 8, 1933, pp. 253-54. 6 Will W. Alexander, “A Strategy For Negro Labor,” O p p o rtu n ity , April 1934, p. 103. 7Correspondence from Lawrence Oxley to Albert Hinrichs, Bureau of Labor Statistics, Jan. 30, 1935, Hinrichs file; R e p o r t o f th e U S E S on D ivisio n o f N e g ro L a b o r, Dec. 23, 1936, Oxley file; correspondence from Edward Young, U.S. Employment Service, to Oxley, June 6, 1936; and correspondence from Oxley to Samuel Gompers, Jr., U.S. Department of Labor, Apr. 28, 1936, National Archives and Records Service, General Services Administration. *Correspondence from Frances Perkins to Lawrence Oxley, Divi sion of Negro Labor, Jan. 2, 1934, Oxley file, National Archives and Records Service, General Services Administration. 7 Mac Eachron, “The Role of the U.S. Department of Labor,” p. 60. 10 “Washington Conference on the Economic Status of the Negro,” M o n th ly L a b o r R ev ie w , July 1933, pp. 42-43; See also, “Relative Ef ficiency of Negro and White Workers,” M o n th ly L a b o r R ev ie w , Febru ary 1935, pp. 335-38. " T e s tim o n y o f F ra n ce s P e r k in s b e fo r e th e N R A on th e c o d e s f o r th e iron a n d s te e l in d u str y , U.S. Department of Labor, 1933. 12 Raymond Wolters, N e g ro e s a n d th e G r e a t D e p re ssio n (Westport, Conn., Greenwood Publishing Corp., 1970), pp. 125-27. Correspon dence from Isador Lubin, Bureau of Labor Statistics to Oxley, Apr. 11, 1935, and from Oxley to Lubin, Dec. 5, 1934, Lubin file, National Archives and Records Service, General Services Administration. 13Correspondence from Mary Anderson and Esther Peterson to Oxley, Oct. 9, 1934, Oxley file, and from Labor Advisory Board to Perkins, Oct. 23, 1934, Lubin file, National Archives and Records Service, General Services Administration. 14John Salmond, T h e C iv ilia n C o n serv a tio n C o rp s (Durham, N.C., Duke University Press, 1964), pp. 90-100 and George Martin, M a d a m S e c re ta r y , p. 297. 15 Salmond, T h e C iv ilia n C o n serv a tio n C orps, p. 98. Establishing a reputation When A1 Smith became Governor of New York in 1918, he appointed Frances Perkins to the State Industrial Com mission despite strong opposition from manufacturers' as sociations. Smith’s confidence was quickly rewarded when, in 1919, he sent her to mediate a violent strike of copper mill workers in Rome, N.Y. On arriving, she found troops patrolling the city’s streets. After talking with representa tives of labor, business, and the community, Perkins ad vised that a public hearing be held before the State Industrial Commission. She firmly believed in the persua sive power of public opinion, and the subsequent hearings https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis quickly led to direct negotiations and a settlement of the strike. The workers gained higher wages and union recog nition; Frances Perkins gained a reputation. Manufacturers who had complained when Smith sent a woman to deal with a labor problem sent word after the strike: “ Do us a favor and ask the Governor where he got that woman.” — G o r d o n B er g “Champion of Labor Law in a Tricorn Hat,” W o rk life, October 1976, p. 169. 35 Changes in unemployment insurance legislation during 1979 Concern for financing of unemployment insurance payments was evident in 1979; changes generally involved extending disqualification periods, restricting eligibility, and increasing tax rates V i r g i n ia A. C h u p p No major Federal unemployment insurance legislation was enacted in 1979. However, Congress did extend the National Commission on Unemployment Compensation for an additional 6 months. The Commission, created under the Unemployment Compensation Amendments of 1976, is to examine the unemployment insurance pro gram and make recommendations for changes. A report is due by July 1. Most of the amendments in unemployment compen sation undertaken by State legislatures during the year were designed to provide financial backing for pro grams. Several notable trends emerge from a State-byState analysis of changes: increasing eligibility require ments, tightening disqualifications, and revision of tax schedules to produce additional income for unemploy ment insurance funds. Iowa, a claimant’s base-year wages must be 1-1/4 times his or her high-quarter wage; in Maine, base-period wages must double the State’s annual average weekly wage; and in Montana, a claimant must have worked 20 weeks or more, averaging $50 weekly. Maximum weekly benefits increased in only eight States: Benefits and requirements Changes in eligibility and disqualifications provisions tended to be toward more restrictive requirements for claimants to meet in order to collect benefits. North Dakota, South Dakota, Montana, and Nevada amended their laws to require strictly duration disqualifications for the three major causes: voluntarily leaving work without good cause, refusal of suitable work, and dis charge for misconduct. Under such a disqualification, a claimant is denied benefits for the duration of the unem ployment, and until he or she earns a specified amount of wages in subsequent work. In addition, two States, Maryland and North Dakota, now restrict good cause for leaving work to that attributable to the work or the employer, and no longer recognize good personal cause. Fewer claimants may be eligible for benefits in 1980 because of the increased amount of high-quarter or base-period wages needed to qualify. For example, Ari zona, New Hampshire and South Dakota increased the amount of high-quarter wages a claimant needs to qual ify for benefits. In Arizona, $625 is needed ($725 in Au gust), up from $375 last year; New Hampshire requires $600 in two high quarters (formerly $300) and South Dakota, $600 (formerly $400). To qualify for benefits in Virginia A. Chupp is an unemployment insurance program specialist in the Employment and Training Administration, U.S. Department of Labor. 36 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Arizona ..................... Mississippi ................ F lo r i d a ........................ M is s o u ri..................... Nebraska .................. New Hampshire . . . . T e n n e sse e ................... Virginia ..................... Old maximum New maximum $85 80 82 85 60 102 95 115 $90 90 95 105 106 114 100 122 In Iowa, Maine, and Montana, and definition of “suitable work” now changes, by law, with the length of a claimant’s unemployment. Previously, “suitable work” was redefined by a procedure or regulation. Generally, States are changing fraud from a penalty specified in the State’s unemployment insurance law to a criminal act, punishable under the State’s penal code. Six States made such changes in 1979. Following is a summary of some significant changes in State unemployment insurance laws in 1979: Arizona amended its benefit charging provisions so that benefits paid subsequent to a labor dispute will not be charged to a base-period employer, if the payment is a result of the labor dispute. Arkansas lifted the disqualification for quitting work to attend school or become self-employed, although the in dividual must continue to meet the able-to-work and available-for-work requirements. The voluntary quit disqualification no longer applies if the claimant had a leave of absence because of pregnancy and was not rehired after the termination of the pregnancy. Howev er, pregnancy is among the nondisqualifying causes for leaving work if the claimant made reasonable efforts to preserve her job rights. California changed the time for which temporary dis ability insurance benefits can be paid on account of pregnancy from a period of 3 weeks before and 3 weeks after childbirth to any 6-week period during the preg nancy. Colorado will use average earnings in all industries cov ered by the law, rather than selected ones, in computing the State maximum weekly benefit amount. Full benefits will be allowed if the worker quits because of harass ment by the employer, not related to job performance. Pension payments will not be deducted from the claim ant’s weekly benefit if the pension payment is made in a lump sum comprising only contributions made by the claimant. The following were added to the list of reasons for disqualification or reduced award: excessive tardiness or absenteeism; sleeping or loafing on the job; failure to meet established job standards for reasons other than inability to do the work; and voluntarily quitting work for unknown reasons or for personal reasons. A seasonal industry was redefined to include an in dustry customarily operating for 25 (formerly 24) weeks or less in a year. Connecticut's claimants who received benefits to which they were not entitled, even though not because of fraud, are liable to repay those benefits or have them deducted from future benefits. However, deductions https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis may not exceed half of an individual’s weekly benefit. Because of experiences in the winter of 1979, the law was amended so that employers are not charged for benefits resulting from damage to a place of employ ment caused by severe weather conditions. The maxi mum disqualification for fraud was increased from 20 to 39 weeks following the offense. Delaware's maximum tax rate increased from 3.0 to 5.0 percent of employer’s payroll. The period in which an employer’s account must be chargeable before he or she can qualify for other than the standard 2.7-percent rate was reduced from 4 to 3 years. Florida limited the maximum tax rate to 0.1 percent a year. To be charged for benefits, an employer must pay at least $100 (formerly $40) in base-period wages. The disqualification period for the three major causes was changed from the duration of the unemployment and until the worker earns 10 times the weekly benefit amount to duration plus earnings of 17 times the week ly benefit. A disqualification was added for discharges for gross misconduct if the worker was terminated for violation of a criminal law punishable by imprisonment, or for any dishonest act. The disqualification period continues for up to 52 weeks or until the individual is reemployed and earns 10 times the weekly benefit amount. Also, disqualifying income now includes retire ment payments made for service in the U.S. Armed Forces. Hawaii changed the penalty for fraud from a fine of up to $200 or 30 days’ imprisonment, or both, to either a misdemeanor or a felony under the State criminal code. Idaho's provision denying benefits to school personnel between school years or terms now applies only to those wages earned for work performed for educational institutions. Indiana will deny benefits to temporary employees of the General Assembly or of a legislative committee who work between legislative sessions only. Iowa has dramatically changed its benefit system. An individual’s weekly benefit amount will be computed, in steps, at 1/19 to 1/23 of the high-quarter wages up to 58 to 70 percent of the State average weekly wage, depending on the number of dependents claimed by the worker. In addition, the proportion of base-period wages used to compute the duration of benefits was re duced from one-half to one-third and maximum dura tion was reduced from 39 to 26 weeks. Base-year wages of 1-1/4 times the high-quarter wages are needed to qualify for benefits, in addition to the previous require ment of $400 in the highest quarter and $200 in a quar37 MONTHLY LABOR REVIEW April 1980 • Changes in Unemployment Insurance ter outside the high quarter. The amount of benefit charges to a succeeding em ployer’s account is limited to those based on wages earned with that employer and, if the claimant remains unemployed 10 weeks after those wage credits have been charged, any benefits paid after the 10 weeks. All three of the major causes of disqualifications were amended. Disqualification for any of the three causes now continues for the duration of the claimant’s unem ployment and until he or she has earned wages in cov ered work equal to 10 times the weekly benefit amount. In addition, discharge for gross misconduct will result in a cancellation of all wage credits earned prior to dis charge. Work is considered suitable if the weekly wage offered bears the following relationship to the claimant’s highquarter weekly wage: (1) during the first 5 weeks of un employment, 100 percent; (2) from the 6th through the 12th week; 75 percent; (3) from the 13th through the 18th week, 70 percent; (4) after the 18th week, 65 per cent. However, no individual is required to accept a job paying less than the Federal minimum wage. Kansas increased the percentage of highest quarter earn ings used to determine weekly benefits from 4 to 4.25 percent. The maximum contribution rate remains at 6.6 percent for 1980, but will increase to 3.8 percent for 1981 and 1982, and to 4.0 percent in 1983 and subse quent years. In addition, a new maximum rate of up to 4.3 percent can be implemented under certain condi tions. Maine's claimants must meet these requirements to be eligible for benefits: (1) wages must equal twice the State’s annual average weekly wage in each of two quarters in the base year, and (2) total base-year wages must equal 7 times the State annual average weekly wage. The suitable work definition was amended to disre gard prior earnings if an individual has been unem ployed for 12 consecutive weeks and the work offered pays wages at least equal to the State’s average weekly wage. Services of certain musicians are excluded, if they are performed under terms of a contract between the musicians and the employer. Maryland changed its voluntary leaving provision so that only a cause directly attributable to or connected with the work will be considered good cause for leaving work. The period in which prosecution may be brought for fraud in connection with the collection of benefits was extended from 2 to 3 years. A claimant’s current employer will not be charged for benefits paid for un employment caused by a shutdown for retooling; in stead, the employer causing the shutdown will be charged. 38 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Michigan preserved an individual’s right to receive bene fits during continuous involuntary disability if the claimant submits a timely request for such preservation. Benefits are not payable after 156 weeks after the begin ning of the claimant’s benefit year. Minnesota changed it disqualifications for voluntary leaving and discharge for misconduct to exclude separa tions because of completion of an apprenticeship pro gram or terminations occurring after the employee gave notice of intent to quit work. The latter continues only through the week of the intended termination. Benefits cannot be paid for any week in which the individual re ceived a salary equal to his weekly benefit. An individual will not be disqualified for any acts oc curring after separation from employment. The penalty for disqualification because of fraud will expire 104 weeks after the week in which the fraud determination was made. Benefits paid after an individual fails, without good cause, to accept an offer of reemployment will not be charged to the employer if the refusal was due to the distance of the work from the claimant’s residence, seri ous illness, or the claimant’s other employment at the time of the offer. Mississippi law was amended to increase the standard and the maximum contribution rate from 2.7 to 4.0 per cent and the minimum rate from 0 to 0.1 percent. Also benefits will not be charged to an employer’s account if paid after an employee is fired before a 90-day trial work period because he or she is unable to perform the work. Service performed as a “sitter” at a hospital is ex cluded from coverage if the “sitter” is employed by the individual. Missouri decreased slightly the percentage of highest quarter earnings used to determine the weekly benefit amount. The taxable wage base will increase from $6,000 to $6,600 if, during the preceding year, the bal ance in the unemployment compensation fund dropped below $125 million. The maximum tax rate was in creased from 4.1 to 6.0 percent, and the fund balance triggers that determine the rate schedule were changed from a percentage of payrolls to a cash balance require ment. The maximum period of disqualification for a miscon duct discharge was increased from 8 to 16 weeks. An individual will not be disqualified for voluntary leaving if he or she retired pursuant to a contract between the employer and a duly-elected union. Montana claimants must have at least 20 weeks of work at an average weekly wage of $50 to qualify for benefits, effective July 1, 1980. At the same time, minimum weekly benefits will change from $12 to an amount equal to 15 percent of the State’s average weekly wage and weekly benefits will be computed at 50 percent of an individual’s average weekly wage, up to the maxi mum which is currently computed at 60 percent of the State’s average weekly wage. The period for which benefits are payable was reduced from 12 to 8 weeks. The taxable wage base increased from $6,000 to $7,400 for 1979 and, beginning in 1980, will be re computed annually at 75 percent of the State’s average annual wage. The minimum contribution rate was de creased from 0.5 to 0.2 percent, and the maximum rate was increased from 3.1 to 4.4 percent. The experience rating system, used to determine an employer’s rate, was changed from a system which mea sures the decline in an employer’s annual payroll to a system which uses all factors— benefits, contributions, and the employer’s payroll. Excluded from coverage is casual labor not in the course of the employer’s trade or business, unless the quarterly wages paid are $50 or more and the service is not done by a regular employee hired specifically for those services. The voluntary leaving disqualification will continue for the duration of an individual’s unemployment and until he or she earns 6 (formerly 4) times the weekly benefit amount. The requirement which permitted re qualification for benefits after 7 weeks of otherwise compensable unemployment was repealed. However, the law now permits purging the disqualification if the indi vidual regularly attends an accredited school for at least 3 consecutive months. Claimants discharged for misconduct will now be disqualified for the duration of their unemployment and until they earn 8 (formerly 6) times the weekly benefit amount. Here, too, the alternative requirement permit ting benefits to be paid after the claimant has served 8 otherwise compensable weeks of unemployment was re pealed. Suitable work was redefined: for the first 13 weeks of unemployment, suitable work is that which meets the criteria established by law and that which offers the areawide prevailing wage for the claimant’s customary occupation; after 13 weeks, suitable work will include work that offers 75 percent of the prevailing wage. The benefit charging provisions were amended to specify that no employer’s account will be charged for Federal-State extended benefits, or for benefits paid to an individual who voluntarily left work without good cause or was discharged for misconduct. Nevada tightened disqualification for misconduct dis charges from a variable period with no earnings re quired to the duration of claimant’s unemployment and until the claimant earns the weekly benefit amount in each of 1 to 15 weeks. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis New Hampshire extended coverage to certain local gov ernment employees and enacted legislation denying ben efits to school personnel between terms, professional athletes between seasons, and certain aliens. In addi tion, a new disqualification applies to an individual who leaves self-employment and will continue until the claimant earns wages in each of 3 weeks equal to 120 percent of the weekly benefit amount. The provision was repealed which prohibited applica tion of the labor dispute disqualification if the stoppage of work is due to a lockout or the employer’s failure to live up to an employment contract. However, the labor dispute disqualification will not apply if the claimant became unemployed and entitled to benefits prior to the dispute and his or her connection with the employer has been totally severed. Disqualification for disciplinary layoff now applies for the life of the layoff. A lump sum payment (other than accrued vacation pay) from an employer going out of business now affects a claimant’s eligibility for benefits. New Mexico decreased the maximum number of weeks in a year that benefits can be paid from 30 to 26. The circumstances under which a labor dispute disqualifica tion will be imposed were changed from a work stop page existing because of the dispute to a labor dispute in progress at the claimant’s place of employment. North Carolina amended its fraud penalty so that in stead of a fine or jail or both, the individual is guilty of a misdemeanor. Also, the time needed to qualify for ex perience rating is no longer limited to 12 months. North Dakota changed from a minimum weekly benefit amount of $15 to a flexible minimum computed annual ly in July at 18 percent of the State average weekly wage. This change results in a flexible qualifying re quirement because the State requires wages in two quar ters and 40 times the weekly benefit amount to qualify for benefits. Minimum duration of benefits was reduced from 18 to 12 weeks and the computation of duration is no longer based on the relationship of base-period wages and weekly benefits but is based on the ratio of base-year wages to high quarter wages. The wage base is now computed at 70 percent of the State’s average annual wage for the 12 months ending June 30. Formerly, this computation occurred only if the fund balance failed to meet a specified level and the amount of the increase in the wage base was limited to $100 in any year. The maximum contribution rate in creased from 4.2 percent of the employer’s total payroll to 6.0 percent and the minimum rate from 0.2 to 0.3 percent. The method of determining fund requirements for triggering rate schedules was changed from a per centage of payrolls to a multiple of the highest benefit cost in 1 of the preceding 5 years. 39 MONTHLY LABOR REVIEW April 1980 • Changes in Unemployment Insurance An individual’s weekly benefit will be reduced by half the amount of the pension he or she receives if at least half the cost of the pension was provided by a baseperiod or chargeable employer, and by the entire cost of the pension if the pension was wholly financed by such an employer. Only a cause directly attributable to the employer is considered a good reason for voluntarily leaving work. In addition, the period of disqualification for voluntary leaving was reduced from the duration of the claimant’s unemployment and until he or she earned 10 times the weekly benefit amount to duration plus 5 times the weekly benefit amount. The alternative requalifying requirement was deleted for those claimants denied benefits because of one or more of the three major causes of disqualifications. Oregon law now specifies that individuals claiming bene fits must submit information regarding qualifications, training, and experience if requested to do so by the State employment service. Rhode Island's taxable wage base will be determined as 70 percent of the State’s average annual wage in cov ered employment during the preceding year. In addi tion, the minimum contribution rate was increased from a range of 1.0-3.0 percent to 3.0 percent and the maxi mum rate was increased from 4.0 percent to 6.0 per cent. Employers are required to pay a balancing tax, ranging from 0.7 percent to 1.5 percent, depending on the tax schedule in effect in a year. In addition, the maximum rate at which a new employer can be taxed was increased from 2.7 percent to 4.2 percent. South Dakota increased the maximum contribution rate from 4.1 percent to 7.0 percent. The amount needed to qualify for benefits was in creased to 20 times (formerly 10) the weekly benefit amount outside the highest quarter, and the minimum amount of high-quarter wages required was increased to $600 (formerly $400). The State further restricted condi tions under which partial benefits will be paid by changing the definition of partial unemployment to a week in which the claimants earned less than half (for merly 1-1/2 times) the weekly benefit amount and by deducting three-quarters (formerly one-half) of a claim ant’s part-time earnings from his or her weekly benefits. The penalty for fraud was changed from a variable period of 1 to 52 weeks to either a misdemeanor or a felony under the State’s criminal code. School employees will be denied benefits during established, customary vacation or holiday periods. D isqualification for th e th ree m a jo r causes w as changed from a variable period to th e d u ratio n of th e 40 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis claimant’s unemployment and until he or she has been reemployed in covered work for 6 weeks and has earned wages in each of those weeks equal to the weekly benefit. The criteria for determining whether a voluntary quit was with good cause now include considerations of the claimant’s health and the employer’s conduct. Disability payments are no longer deductible. Tennessee repealed the exclusion from the automatic de nial of benefits to hourly paid nonprofessional school personnel between school terms. Utah will reduce a claimant’s weekly benefit by 100 per cent (formerly 50 percent) of his or her weekly retire ment benefits. The formula used to compute benefits for a week of partial unemployment was changed so that now the weekly benefit is reduced by the amount of earnings in excess of 30 percent of the benefits. Former ly, the amount disregarded was that in excess of 50 per cent of the weekly benefit amount, or $12, whichever was less. A claimant is required to make an active effort to se cure work. Disqualifications for the three major causes were changed, so that now the claimant is ineligible for the duration of his or her unemployment and until he or she earns 6 times the weekly benefit amount in cov ered work. Disqualification because of fraud continues for 13 weeks for the first week in which fraud is committed plus 6 weeks for each week of commitment thereafter, but not more than a total of 49 weeks of disqualifica tion. In addition the claimant must pay back twice the amount fraudulently received. Formerly, disqualification continued for 52 weeks and until the fraudulently re ceived benefits were repaid. Virginia now denies benefits to part-time and substitute school employees. In addition, the State extended the between-terms denial during customary and established vacation periods. Quitting work to accompany or join a spouse in a new locality is no longer considered a good cause for leaving work. Also, an individual is disquali fied while incarcerated. West Virginia increased the percentage of the State’s av erage weekly wage used to compute the maximum weekly benefit amount from two-thirds to 70 percent. A claimant is required to have earned wages in two calen dar quarters to be eligible for benefits. To be considered available for work, an individual must do what a reasonably prudent person in similar circumstances would do to seek work. Employees on vacation at the employer’s request now are not consid ered unemployed and, thus, are ineligible for benefits. □ Arbitration and the rights of mentally handicapped workers B e n j a m in W . W o l k in s o n and D a v id Ba r to n In the last few years, there has been a growing aware ness of the vast extent and cost of mental illness at the work site. It has been estimated, for example, that emo tional problems are responsible for approximately 20 to 30 percent of employee absenteeism, that one-fourth of any large work force is in serious need of help for psy chological or social problems, and that at least 65 per cent of all discharges result from personal factors rather than technical incompetence.1 The widespread and frequent occurrence of mental disability suggests that managers are often faced with sensitive decisions about how to accommodate both the needs of afflicted employees and the economic interests of the firm. The Rehabilitation Act of 1973 places new constraints on organizations that receive Federal funds, requiring them to accommodate physically or mentally handicapped employees.2 Equally important but less well appreciated are the rights and protections afforded mentally disabled employees by the just-cause disciplin ary provisions of collective bargaining agreements. As this report will demonstrate, the industrial common law that has evolved from grievance proceedings has established definite restraints on management’s ability to penalize workers afflicted by mental illness. Further more, this industrial common law appears to impose on employers some duty to accomodate the specific needs of affected workers. Protection of job rights Between 1947 and 1978, there were 38 reported arbi tration decisions involving the discharge or denial of re instatement to employees with mental disabilities.3 In only 10 of these cases was management’s decision up held. Apparently, arbitrators impose a stiff evidentiary Benjamin W. Wolkinson is associate professor of industrial relations at the School of Labor and Industrial Relations, Michigan State Uni versity. David Barton is Director of Labor Relations, Hurley Medical Center, Flint, Michigan. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis burden on employers seeking to terminate a mentally handicapped worker. Only when a mental disability ex poses the employee or others to serious risks of injury or harm or, alternatively, prevents the employee from performing his duties was the discharge upheld. In 7 of the 10 cases where termination was upheld, the arbitra tor found that the employer had demonstrated through competent medical testimony that the grievant could not safely or successfully perform his or her job.4 In five of the approved terminations, there were addi tional findings that the worker’s disability precluded the performance of any job in the bargaining unit.5 One case involved an employee with 16 years of service; fol lowing brain surgery, he was no longer able to function efficiently, and the company reluctantly terminated him. The arbitrator concluded that the employer had acted properly: it had consulted the union, had given the em ployee additional time to recuperate, and had demon strated that all other positions in the bargaining unit entailed the same level of skill and difficulty.6 Several other cases concerned employees diagnosed as psychotic with histories of violent outbursts on the work floor, and who posed a danger to customers, fellow employ ees, and the employer’s property.7 Although employers may terminate a worker on the basis of compelling evidence of disability, they cannot discipline an employee solely because of previous con finement or treatment for a diagnosed mental disability. In one case,8 a firm was ordered to reinstate with back pay a worker hospitalized and successfully treated for mental illness. Similarly, a worker suspended pending a psychiatric examination was awarded full back pay. As a result, an employer’s authority to suspend a worker pending the results of a mental examination may be limited to cases where there is some basis to conclude that the individual is suffering from a disability.9 Furthermore, an employee who has undergone mental treatment may not be denied reinstatement because of management’s unverified or unsubstantiated fears of coworker or community disapproval. Thus, a successful ly treated sexual psychopath was ordered reinstated in a case where management fears of community disapproval had not been verified.10Such fears were considered espe cially misplaced because the grievant’s job did not re quire contact with anyone other than coworkers. 41 MONTHLY LABOR REVIEW April 1980 • Communications In some cases, the onset of mental illness may be acute and noticeable. In other cases, it may be evi denced only by subtle changes in behavior. Consider able time may elapse before a recognizable pattern of mental illness develops. Despite this inherent difficulty in discerning either the nature or commencement of an employee’s illness, arbitrators have generally maintained that the firm is responsible to thoroughly investigate and consider a worker’s emotional problem before im posing discipline. This requirement is particularly rele vant when dealing with a long-term employee who has an otherwise satisfactory work record and whose behav ior as a result of mental stress or breakdown is radically or suddenly altered. One firm discharged an employee who assaulted a su pervisor during an argument over an open plant win dow. The discharge was voided, however, because management had failed to discover that the worker was under medical treatment for hypersensitivity and that prior to the incident had spent the previous night searching for his missing son.11 At the same time, employees confronted by manage ment for explanation of rule infractions may be obliged to communicate the nature of their emotional problems or mental disability where it has influenced the questioned conduct. The dismissal of a mentally de pressed employee for excessive absenteeism was upheld in one case, because of the employee’s repeated refusal to reveal to management the reasons for his absence, which included treatment and hospitalization for his ill ness.12 Without knowledge of mitigating factors, the ar bitrator ruled, the employer had no alternative but to exercise its normal disciplinary policy. Under mental stress, some employees have suddenly departed from the job, informing management that they were quitting. When they subsequently sought reinstate ment, their requests have often been denied on the grounds that, by voluntarily quitting, they had termi nated their seniority rights and employee status. Al though recognizing that ordinarily employees lose seniority and job rights by quitting, arbitrators have made exceptions if, when “quitting,” the employee lacked the necessary mental capacity to make a mean ingful decision. For example, one arbitrator ruled that management had acted “precipitiously and premature ly” in terminating as a voluntary quit an employee who during a screaming rage assaulted a supervisor and abruptly quit after being denied a leave of absence.13Be cause the employee’s action was not the result of a con sidered judgment but rather an emotional outburst of a sick man, the arbitrator found that management should have placed the grievant on sick leave. Seniority rights are also typically broken when an employee has been absent without prior notice. Al though dismissal for such conduct may be sanctioned 42 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis by past practice or authorized by agreement, arbitrators have been reluctant to apply such standards to the men tally disabled. Dismissals of mentally handicapped workers for violating such reporting provisions have usually been overturned on the grounds that their appli cation is unfair and unreasonable.14 A duty to accommodate The Rehabilitation Act of 1973 requires organizations that receive Federal funds to accommodate handicapped persons; has a parallel responsibility been generated by just-cause provisions of collective agreements? The na ture of management’s required accommodation has gen erally focused on two important questions: (1) when a mentally disabled worker can no longer perform his job, is management required to seek out and transfer the employee to other jobs for which he or she can qualify? and (2) where the evidence indicates that the mentally ill employee cannot perform any job in the bargaining unit, is management obliged to place the worker on leave until he or she undergoes successful treatment permitting reinstatement? In many cases, the mentally disabled employee is un able to perform any job, so that transfer is not an alter native. This may occur with a psychotic employee predisposed to violent outbursts. At other times, how ever, the stress of a particular job may precipitate a breakdown, and transfer to a different job may enable the employee to return to employment. Whether em ployers are obliged to accommodate a mentally ill em ployee through job transfers is the subject of conflict among arbitrators. The strongest statement of management’s duty to ac commodate appears in the following excerpt from a 1972 case:15 A rbitrators are reluctant to uphold a discharge for such [emotional] disability unless the employer can show that not only can the disabled employee no longer perform his own job adequately, but that there is no other job available that he can do. There is a degree of callousness involved in turning out a senior employee because of disabilities (physi cal or emotional) if he is capable of doing a less demanding job satisfactorily. The worker was ordered reinstated to a less demanding job that he had previously performed without difficulty. Other arbitrators have also indicated that employers must do everything possible to enable the mentally handicapped employee to adjust to normal work life, in cluding transfer to other jobs.16 Supportive of this ap proach is a case in which a discharge of an emotionally unstable employee who handled explosives was voided. Instead, the grievant was placed on suspension pending a joint management-union review to determine whether there were other jobs that the grievant could safely han dle.17Similarly, in a 1964 case, a worker was ordered re- instated to an available job which was least likely to produce stress or irritation.18 Although these cases in volved workers’ reinstatement because of management’s failure to accommodate, it is also significant that in 5 of the 10 cases where a worker’s dismissal was upheld, the arbitrator determined that the grievant was unable to perform any job in the facility.19 A small minority of arbitrators have been reluctant to impose upon management the duty to consider a mentally disabled employee for other less stressful jobs once evidence indicates an inability to perform the most recent job. For example, in a 1948 case, an arbitration board ruled that in the absence of any express or im plied provision in the agreement entitling employees to transfer, management had full discretion to fill vacan cies and maintain its policy of no interdepartmental transfers.20As a result, an employee suffering from a se rious disorder was barred from obtaining a position his psychiatrist felt he could satisfactorily perform; he was terminated for unsatisfactory performance in his current position. More recently, an arbitrator upheld the contention that management is not obliged nor is an arbitrator empowered to move a mentally handicapped employee to other jobs. It was suggested in that case that such an approach would be tantamount to the creation of a dis ability retrogression clause in agreements.21 Signifi cantly, however, this strict constructionist approach has been taken by only a small number of arbitrators. Just as arbitrators have been divided over the transfer rights of a mentally disabled employee to a less strenu ous job, they have also split over a firm’s obligation to place a mentally ill worker on leave until recovery. In some cases, dismissals have been upheld on evidence that the worker is presently incapacitated and there is reason to believe that additional treatment would not be very helpful.22 For example, in one case, the grievant had a history of mental illness and treatment, including hospitalization and drug therapy. Nevertheless his con dition deteriorated, and based on the likelihood of worsening symptoms, the discharge was upheld.23 Some arbitrators, however, have ignored the issue of future employability, upholding a dismissal solely on the basis of the worker’s present mental condition.24 Thus, no concern may be given to the possibility that the indi vidual might be rehabilitated through professional treat ment. Although hoping that a grievant would obtain medical treatment, one arbitrator refused to require management to give the employee the opportunity to become rehabilitated before finalizing a dismissal.25 Other arbitrators, however, have been inclined to or der reinstatement if prior to the hearing the grievant had successfully undergone treatment and was re employable. In cases where the grievant’s illness was found to be in a state of remission,26 reinstatement has https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis been conditioned on continued receipt of medical treat ment27or satisfactory completion of a trial period.28 Significantly, an increasing number of arbitrators have ruled that a mentally ill employee’s inability to perform his or her job or other jobs in the facility does not constitute just cause for dismissal. The imposition of the discharge penalty has been viewed as signifying egregious fault on the part of the worker, and the ele ment of fault has been considered inopposite when deal ing with individuals who have no control over their actions.29 Furthermore, there has been a growing senti ment to treat mental illness like any other physical ill ness or disability. This approach would give the mentally ill employee the opportunity to seek treatment and to be reemployed upon recovery. An arbitrator in a 1977 case strongly affirmed this view by placing on sick leave a psychotic employee dismissed for an un provoked assault upon a coworker:30 . . . [A] person’s mind is no less a part of his body than any other portion of his anatomy. Simply stated, a person who cannot be kept on the active payroll because his mind is abnormal is, in fact, disabled from work and sick just as a person who is unable to work due to a broken arm, undu ly high blood pressure, or any other physical ailment, is sick and disabled from work. Thus, there is no reasonable basis for distinguishing between a disability due to a physi cal illness and one due to a mental disorder. Following this approach, many arbitrators have void ed the discharge of employees proved to be mentally incompetent to perform any job. Instead, they have allowed management only to temporarily remove the employee from the work site, with reinstatement rights upon reasonable assurance from medical authorities that the employee no longer constitutes a risk to himself or others.31 Typically, the employee has been placed on sick leave32 or, alternatively, on a medical leave of ab sence without pay.33 Additionally, a dismissal may be overturned if the amount of leave extended is viewed as unreasonably deficient. Following a 3-month leave to undergo psychiatric treatment, a worker was discharged for dangerous horseplay conduct. The discharge was overturned, however, because the amount of leave was less than afforded other employees.34 In requiring employers to accommodate the mentally ill employee, arbitrators have been keenly aware of the tragic impact that dismissal may have on a worker’s fu ture employment opportunity.35 Once stigmatized as mentally incompetent, such employees may face perma nent exclusion in the job market even after successful treatment. Consequently, although recognizing manage ment’s right to protect plant safety and efficiency, many arbitrators have found that the proper balance between such interests and employee job rights is better struck through the mechanism of temporary removal rather than outright dismissal. 43 MONTHLY LABOR REVIEW April 1980 • Communications Appropriate medical evidence A central issue in grievances involving the mentally ill is the employee’s capacity to perform. Here arbitra tors have typically relied on the expert opinion of quali fied medical authorities. Thus, when medical experts testified that the grievant was seriously ill and the prog nosis for future rehabilitation was minimal, the dismiss al was almost always upheld.36 Conversely, when medical evidence indicated that the grievant’s condition had improved and permitted satisfactory job perfor mance, the dismissal was normally overturned.37 With insufficient medical evidence upon which to evaluate the grievant’s employability, arbitrators have directed the parties to jointly select a competent psychiatrist to ex amine the grievant and provide an opinion. For exam ple, one arbitrator required an employer to allow a worker to be reexamined before deciding the reinstate ment issue, because it had been a year since the griev ant’s last psychiatric examination.38 At times, arbitrators have been confronted with con flicting medical opinions. As illustrated in the following excerpt from a 1961 case,39 such conflict occurs more frequently in mental disability cases as opposed to physical handicap cases. The resolution of such cases where actual physical disability is involved is a clear-cut fact situation which is easily sub ject to expert medical testimony and experiences resultant from long years of medical knowledge of the various disabilities. In the field of mental disability, a more nebu lous and complex area of medical knowledge and experience is involved. Two equally expert medical men can easily ar rive at opposite conclusions on any given case because of lack of concrete medical knowledge concerning mental ill ness and the subjective nature of such illness. Presented with conflicting medical reports, arbitrators have used common sense notions in determining the weight given particular testimony. For example, when faced with conflicting medical evidence based on exami nation of the grievant undertaken at two different times, one arbitrator gave more consideration to the more re cent opinion.40 Similarly, another arbitrator relied more on a medical opinion based on a series of interviews with, and psychological testing of, the worker as op posed to a different judgment formed by one doctor af ter a single meeting with the grievant.41 Alternatively, an arbitrator has given more weight to a medical opin ion corroborated by a second doctor rather than the opinion of a single physician.42 At times, a conflict in medical testimony has been settled in favor of the griev ant because an adverse decision would result in dismiss al.43 Arbitrators usually have not attempted to determine whether one doctor is more qualified than another. In a 1972 case, the employer argued that its physician’s 44 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis opinion should be given more weight because he was a diplomat of the American Board of Psychiatrists and the union’s doctor was not. However, the arbitrator rea soned that because the union’s physician practiced psy chiatry he had all the legal and professional credentials necessary.44 In another case, a medical opinion based on the individual’s full file (work history, medical records) combined with other physicians’ examinations was giv en more consideration than the opinion of the doctor who did not have this additional information.45 Similar ly, the company doctor’s opinion was held to outweigh that of an outside psychiatrist who had based much of his opinion on a falsified work history supplied by the grievant.46 Finally, when the medical evidence appears evenly divided, the arbitrator may resolve the dilemma by reinstating the grievant for a trial period. This solu tion was used where the company doctor had recommended dismissal because of his concern that re mission of the grievant’s medical disorder was not likely to last, but the employee’s psychiatrist had favored rein statement because of the worker’s present satisfactory condition and the possibility that the remission would continue.47 Available remedies In 11 cases where employees were suspended, dis missed, or denied reinstatement, back pay and reinstate ment were ordered. Outright unconditional reinstate ment with back pay was usually ordered when management failed to demonstrate that the grievant posed a danger to safety or operating efficiency.48 When the grievant had been guilty of some impropri ety, an employer’s back pay liability was often reduced. For example, in a 1964 case, a worker was discharged for carrying weapons onto his employer’s property. Finding the employee’s conduct to be caused by mental illness for which he was successfully treated, the arbitra tor ordered the worker reinstated. However, because of the misconduct, back pay was ordered only from the date of the hearing.49 When no credible evidence sup ported a suspension, the employer’s back pay liability has run from the date of discharge to date of reinstate ment.50 Employees who have been successfully treated and subsequently denied reinstatement have received back pay from the date of the employee’s request for re instatement,51 or the company’s receipt of a psychiatric report indicating the worker’s reemployability.52 Conditional reinstatement with back pay was ordered in four cases. This remedy was implemented when the individual still required treatment and there was some doubt concerning his employability. With a conditional reinstatement, special restrictions or requirements have been imposed on the worker. In a pair of cases more than 20 years apart, a worker was placed on a 6-month trial period, during which management was permitted to discharge the individual if unable to perform.53In an other pair of cases, reinstatement was conditioned on the worker receiving medication and seeing a psychia trist periodically.54 Conditional reinstatement reflects the efforts of arbi trators to accommodate both the job rights of the employees and the legitimate business interests of the firms. It suggests that although companies would prefer to receive absolute assurances that the grievant can be reemployed without problems, such assurances are diffi cult to communicate and rarely provided. Moreover, the absence of such iron-clad assurances is not an appropri ate basis for the denial of reinstatement if competent medical authorities are reasonably assured that with continued treatment the grievant is employable. Em ployer doubts are not dismissed, but are considered and acted upon by conditioning reinstatement on the com pletion of a probationary period or the grievant’s con tinued treatment, or both. At times, back pay has been denied because the discharge was considered reasonable at the time the decision was made or because the em ployer had acted in good faith and upon the advice and recommendation of company doctors.55 A final remedial approach has been used in cases where the grievant was presently unemployable. As dis cussed earlier, a significant number of arbitrators have viewed discharge as inappropriate, reasoning instead that the grievant be placed on some type of leave (sick leave if the worker is entitled or, alternatively, leave without pay) until recovery. For example, in one case, an employee with a 22-year record of satisfactory per formance developed a serious manic depressive condi tion with no clear prognosis for recovery. The grievant was ordered placed on sick leave until recovery or until he reached retirement age.56 Similarly, a psychotic indi vidual was ordered placed on leave with a right to rein statement upon evidence that he could be reemployed without risk to himself or others.57 These cases appear to reflect the view that mentally disabled employees may be rehabilitated with proper care; and even though it may not be the firm’s responsibility to provide for or fund treatment, the individual should have the opportu nity to obtain it without suffering permanent job loss. When an arbitrator has voided the discharge of an indi vidual judged unemployable, however, back pay has not been awarded.58 Back pay has been an issue only when an employable person has been denied the opportunity to work. Mitigating factors In 10 of 27 dismissal cases where the grievance was upheld, the employee’s previous satisfactory perfor mance operated as a mitigating factor.59 For many arbi trators, evidence of meritorious past performance may suggest the individual’s capacity to function effective https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis ly following successful treatment. Consequently, upon recovery, such an individual has been reinstated. The following excerpt from a 1964 case illustrates this per spective:60 . . . [TJhis service record (9 years without discipline) clearly entitles the grievant to an opportunity to show that he can continue to serve the company in the same acceptable fash ion as in the past . . . this long favorable past record obli gates the company to afford such an opportunity to the grievant. The discharge of an employee with a long record of satisfactory service has been nullified when management failed to investigate the circumstances surrounding the individual’s sudden incapacity to function.61 Moreover, accommodation to the needs of mentally ill employees has often been required when the employee has had many years of meritorious service. In a pair of cases,62 the employers were ordered to find alternative jobs for mentally handicapped employees with many years of se niority. At the same time, past performance alone has not necessarily immunized the mentally ill employee from dismissal. The dismissals of long-term employees have been upheld where the individual was unable to perform any job and the prognosis for recovery was poor.63 A few arbitrators have upheld the dismissal of a long-term employee solely on the basis of present unemployability, without considering whether future treatment may be beneficial. Thus, one arbitrator upheld a worker’s dis missal, although noting that it was entirely probable that the grievant’s mental disability was temporary.64 Another consideration that has influenced arbitrators’ decisions is an employer’s past practice. Where past practice suggested that mentally ill individuals have been afforded time off to obtain medical treatment, the sudden dismissal of a mentally ill worker regardless of his present unemployability has usually been over turned.65 The case against dismissal under such circum stances has also been strengthened by evidence that others hospitalized for mental illness were reinstated successfully.66 Past practice, however, has also been used to justify an employer’s refusal to accommodate. In a 1948 case, an employee being treated for mental illness had sought transfer to a job his doctor had felt he could better handle. Management’s rejection of the transfer request was upheld because the contract implied that the company could determine how vacancies would be filled, and past practice showed no deviation from the employer’s established policy of barring inter-departmental transfers.67 Yet a rigid policy of no accommodation has been overtuned, notwithstanding past practice. Despite an alleged policy of never reemploying individuals who have been confined for mental illness, a firm was or45 MONTHLY LABOR REVIEW April 1980 • Communications dered to reinstate an employee who had been success fully treated and was able to resume work.68 Thus, the policy of no reinstatement under any circumstances was considered unreasonable and modified. Emerging equity through arbitration Mentally disabled employees pose unique and dif ficult problems for those in the employment relation ship. Employers must consider plant efficiency and safe ty, unions must protect the job security of their membership, and all parties face the difficulty of the un certain and unpredictable nature of mental illness, which makes diagnosis and prognosis problematic. There is an apparent trend among arbitrators to view discipline as an inappropriate mechanism by which to compel the mentally ill employee to adhere to work rules and production norms. Discipline is normally met ed out to those who should have been aware and never theless ignored, or who knowingly violated, reasonable plant rules and policies. Given this framework, the dis cipline of an employee whose mental illness deprived him of the capacity to satisfy appropriate standards of conduct is improper. As a result, the dismissal of men tally ill employees for infractions such as excessive or unreported absences, insubordination, or assault has been increasingly viewed as a breach of contractual just-cause provisions. Although arbitrators have split over management’s duty to accommodate, a growing number have required firms to examine whether the employee could perform other jobs in the bargaining unit. Even when there has been no other job available, there was a reluctance to uphold dismissal when there was some hope that through treatment the mentally ill employee could be come reemployable. The expanded reach that many arbitrators have given to the just-cause provisions of contracts parallels the protections of the Rehabilitation Act of 1973, requiring employers to make a “reasonable accommodation” to handicapped applicants and employees. This congruen cy between Federal law and industrial jurisprudence should facilitate the informal settlement of grievances of the handicapped, an outcome favored by U.S. Depart ment of Labor regulations enforcing the statute.69Under regulations implementing Section 503 of the law, a com plainant who works for a Federal contractor must first attempt to resolve the issue through the employer’s grievance procedure when one is available. Only when no agreement satisfactory to the grievant has been reached after 60 days may the Office of Federal Con tract Compliance Programs begin an investigation. The settlement of employment disputes involving mental disability through grievance adjustments and ar bitration provides the employee with a more expeditious avenue of relief than would otherwise be available through resort to the Government’s compliance process under the 1973 statute. The remedies available under Sections 503 and 504 include the withholding of prog ress payments, termination of Federal contracts, and debarment from the receipt of future contracts. Al though these are powerful remedies, experience with similar enforcement measures for antibias requirements suggests that the likelihood of their implementation to enforce rights of the handicapped is minimal.70 Further more, although injunctive relief is available under Sec tion 503,71 to date it has not been sought in any case. Consequently, arbitration remains an important tool to protect the employment opportunities of mentally dis abled employees. Recently, there have been significant questions raised concerning the relevance of arbitration in areas which are becoming increasingly subject to Federal regulation.72 A review of arbitration decisions involving the mentally handicapped shows that, although overlap may exist be tween external law and contractual adjudication, arbitra tion serves as an important mechanism for preserving workers’ rights. In an era of ever-increasing administra tive backlogs and clogged court dockets, reliance on in formal methods of dispute resolution is a healthy phe nomenon that should be encouraged. Q FOOTNOTES 1Lawrence N. Loban, “Mental Health and Company Progress,” December 1966, p. 29. 2The duty to make “reasonable accommodation” is the result of Office of Federal Contract Compliance Programs regulations enforcing Sec. 503 (a) of the Rehabilitation Act of 1973. The nature and duty of a Federal contractor’s accommodation are defined in C.F.R. 6 0 741.6(d) (1977). M a n a g e m e n t R eview , 3These decisions represent all 34 dismissal cases published by the Bureau of National Affairs in its L a b o r A r b itr a tio n series between 1947 and 1978 and 4 cases that were published by Commerce Clear ing House in its L a b o r A r b itr a tio n A w a r d (A R B ) during that time. 4 Whitin Machine Works, 10 LA 707 (1948); Gulf Oil Corp., 34 LA 80 (1960); Maremont Automotive Products, Inc., 37 LA 175 (1961); Hiller Chevrolet Cadillac, Inc., 37 LA 629 (1861); Fischer Scientific, 45 LA 559 (1965); U.S. Steel Corp., 46 LA 545 (1966); Cheyenne 46 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Pipeline Co., 59 LA 726 (1972). Three cases did not fall in the above category: dismissal was upheld in Husky Oil Co., 65 LA 47 (1975), because of the employee’s excessive absenteeism; in Wolpin Co., 69 LA 589 (1977), because of the employee’s violation of a probationary period following an earlier dismissal; and Kellogg Co., 71 LA 494 (1978), because the employee was found to have voluntarily quit. 5Whitin Machine Works, 10 LA 707 (1948); Maremont Automo tive Products, 37 LA 175 (1961); Hiller Chevrolet, 37 LA 629 (1961); Fischer Scientific, 45 LA 559 (1965); and Cheyenne Pipeline Co., 59 LA 726 (1972). 6 Cheyenne Pipeline Co., 59 LA 726 (1972). 7 Hiller Chevrolet-Cadillac, 37 LA 629 (1961); Maremont Automo tive Products, 37 LA 175 (1961); and Fischer Scientific, 45 LA 559 (1965). 8Alcas Cutlery Co., 38 LA 297, at 299 (1962). ’ Caterpillar Tractor Co., 36 LA 104 (1961). See also Jamestown Telephone Co., 73-1 ARB 8229 (1973). 10 International Harvester Co., 24 LA 229, 231 (1955). " Brown and Williamson Tobacco Corp., 60 LA 17 (1972). 12Husky Oil Co., 65 LA 47, at 5 8 -5 9 (1975). “ General Tire and Rubber Co., 51 LA 206, at 208 (1968). See also Hervoss Corp., 70 LA 497 (1978), and Kellogg Corp., 71 LA 494 (1978). 14See, for example, Spavering Fibre Co., 21 LA 58 (1953); U.S. Steel Corp., 41 LA 461 (1963); American Can Filler, 63 LA 1277 (1974); and Springday Co., 7 6-1 ARB (1 8295 (1976). “ American Smelting and Refining Corp., 59 LA 722, 725 (1972). 16Whitin Machine Works, 10 LA 707, 712 (1948). 17Silas Mason Co., 59 LA 197 (1972). 18 Dayton Malleable Iron Co., 43 LA 959, 963 (1964). 14See footnote 5. 20 Package Machinery Corp., 10 LA 154, 156 (1948). 21 Commonwealth Gas Co., 7 6 -2 ARB ([ 8494 (1976). 2‘ See, for example, Maremont Automotive Products, Inc., 37 LA 175 (1961), and Cheyenne Publishing Corp., 59 LA 726 (1972). 2' Hiller Chevrolet-Cadillac, 37 LA 629 (1961). 24 See, for example, Whitin Machine Co., 10 LA 707 (1948). 25 Fisher Scientific, 45 LA 559, 560 (1965). 28 Dayton Malleable, 43 LA 959 (1964), National Steel Corp., 66 LA 533 (1976), Springday Corp., 76-1 ARB (] 8295 (1946). 27 Commonwealth Gas Co., 7 6 -2 ARB (] 8494 (1976). 28 National Steel Co., 66 LA 533, 539 (1976). 24See, for example, Consolidated Foods Corp., 58 LA 1285 (1972). ° B. F. Goodrich, 69 LA 922 (1977). See also General Telephone Co. of Indiana, 61 LA 867 (1973), where arbitrator Julius Getman ruled that an employer must provide disability pay to a worker absent because of mental illness, under a contractual provision mandating such pay for illness. Getman found no basis for distinguishing be tween mental and physical illness, even though company practice may have been to extend benefits only in cases of physical disability. 31 See, for example, Chrysler Corp., 26 LA 295 (1956); Foster Wheeler Corp., 57 LA 1171 (1971); Consolidated Foods Corp., 58 LA 1285 (1972); Brown and Williamson Tobacco Co., 60 LA 17 (1972); John Mansville Perlite Corp., 67 LA 1255 (1977); B. F. Good rich, 69 LA 922 (1977); and Ocean Spray Cranberries Inc., 71 LA 161 (1978). 32 General Tire and Rubber Corp., 51 LA 206 (1968); Consolidated Food Corp., 58 LA 1285 (1972); B. F. Goodrich, 69 LA 922 (1977); and Ocean Spray Cranberries Inc., 71 LA 161 (1978). 33John Mansville Perlite Corp., 67 LA 1255 (1977). 34 Foster Wheeler Corp., 57 LA 1171 (1971). ' John Mansville Perlite Corp., 67 LA 1255, at 1260 (1977). This concern is very real. One study has shown that two-thirds of all dis abled employees who were not reemployed by their company could not achieve gainful employment in the succeeding 5 years. Conversely, if rehired by the original firm, the employee was found to be “assured of relative success in the future labor market”: A. J. Jaffee and others, D is a b le d W o rk e rs in th e L a b o r M a r k e t, (New Jersey, Bedminster Press, 1964), pp. 73, 75-76. 36 See, for example, Hiller Chevrolet-Cadillac, Inc., 37 LA 629 (1961), Fischer Scientific Corp., 45 LA 559 (1965), Cheyenne Pipeline Co., 59 LA 726 (1972). 37 See, for example, Alcas Cutlery, 38 LA 297 (1962), U.S. Steel Corp., 41 LA 461 (1963), Philco Corp., 43 LA 569 (1964). U.S. Steel Corp., 46 LA 545, 549 (1966). See also General Elec tric Co., 71 LA 161, 164 (1978), Hervoss Corp., 70 LA 497, 500 (1978). 34 Hiller Chevrolet-Cadillac, Inc., 37 LA 629, at 632-633 (1961). 40 Union Camp Corp., 59 LA 127, at 133 (1972). 41 Maremont Automotive Products, Inc., 37 LA 175, at 176 (1961). https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 42 Union Camp Corp., 59 LA 127 (1972). 43 City of Hartford, 69 LA 303, 306 (1977). 44 Union Camp Corp., 59 LA 127 (1972). See, however, General Electric Co., 71 LA 161, 164 (1978), where arbitrator James Stern did not credit the grievant’s medical release as sufficient evidence of his employability because the grievant’s doctor was not a psychiatrist. 45 Maremont Automotive Products, Inc., 37 LA 175, at 176 (1961). 48 U.S. Steel Corp. 46 LA 545, at 549 (1966). 47 National Steel Co. 66 LA 533, at 534-536 (1976). 48 See, for example, Caterpillar Tractor Co., 36 LA 104 (1961); Alcas Cutlery, 38 LA 297 (1962); U.S. Steel Corp., 41 LA 460 (1963); American Smelting and Refining Corp., 59 LA 722 (1972); Union Camp Corp., 59 LA 127 (1972); Midwest Telephone Co., 7 6-1 ARB 8203 (1976); and Jamestown Telephone Co., 7 3-1 ARB 1] 8229 (1973). 49Philco Corp., 43 LA 568 (1964). See also Marion Power Shovel Co., 69 LA 339 (1973). “ Union Camp Corp., 59 LA 127 (1972); and Caterpillar Tractor Co., 36 LA 104 (1961). 51 See American Smelting and Refining Corp., 59 LA 722 (1972). 52 See Alcas Cutlery Corp., 38 LA 297 (1962). 53 International Harvester Co., 24 LA 229 (1955), and National Steel Co., 66 LA 533 (1976). 54 Dayton Malleable Iron Co., 43 LA 959 (1964), and Common wealth Gas Co., 7 6 -2 ARB 8494 (1976). ” Commonwealth Gas Co., 7 6 -2 ARB 8494 (1976); International Harvester Co., 24 LA 229 (1955); Dayton Malleable Iron Co., 43 LA 959 (1964); and National Steel Co., 66 LA 533 (1976). 56Consolidated Food Corp., 58 LA 1285, at 1289 (1972). Chrysler Corp., 26 LA 295 (1956). See also cases listed in foot note 31. 58 See footnote 31. “ Foundry Equipment Co., 28 LA 333 (1957); U.S. Steel Corp., 41 LA 461 (1963); Dayton Malleable Iron Co., 43 LA 959 (1964); Gen eral Tire and Rubber Co., 51 LA 206 (1968); Consolidated Food Corp., 58 LA 1285 (1972); Silas Mason Co., 59 LA 197 (1972); American Smelting and Refining Corp., 59 LA 722 (1972); Brown and Williamson Tobacco Corp., 60 LA 17 (1972); John Mansville Perlite Corp., 67 LA 1255 (1977); Marion Power Shovel Co., 69 LA 339 (1973). 60 Philco Corp., 43 LA 568 (1964). 61 Brown and Williamson Tobacco Co., 60 LA 17 (1972); General Tire and Rubber Co., 51 LA 206 (1968). Silas Mason Co., 59 LA 1972, at 200 (1972), and American Smelting and Refining Corp., 59 LA 722, at 726 (1972). 63 Whitin Machine Works, 10 LA 707 (1948); Maremont Automo tive Products, 37 LA 175 (1961); and Cheyenne Pipeline Co., 59 LA 726 (1972). 84 See footnote 41. 6 Foster Wheeler Corp., 57 LA 1171, at 1174 (1971). 66Philco Corp., 43 LA 568 (1964). 67 Package Machinery Corp., 10 LA 154 (1948). 68 Alcas Cutlery 38 LA 297 (1962). 64 41 C.F.R. Sec. 6 0 -7 4 1.28(c), (d), and (e), (1977). °A s of June 15, 1977, the U.S. Department of Labor had debarred only 13 companies since 1965 when the Executive Order mandating affirmative action by Federal contractors was first issued. Statement, Donald Elisburg, Assistant Secretary for Labor, in U.S. C o m m is sio n on C iv il R ig h ts, T h e F e d e r a l C iv il R ig h ts E n fo r c e m e n t E f f o r t - 1 9 7 7 (Washington, D.C., 1977), p. 142. 71 41 C.F.R. Sec. 60-741.28(b) (1977). 2See, for example, David E. Feller, “The Impact of External Law Upon Labor Arbitration,” in T h e F u tu r e o f L a b o r A r b itr a tio n in A m e ric a , Benjamin Ana and others, eds. (New York, American Arbi tration Association, 1976), pp. 83-113. 47 Special Labor Force Reports—Summaries Marital and family characteristics of the labor force, March 1979 B e v e r l y L . Jo h n so n The rising number of multi-earner families has been one of the most important socioeconomic developments of the 1970’s. In March 1979, a record 3 out of every 5 married-couple families reported having had at least two members who were earners during the previous year. Since 1970, the number of such families has in creased by more than 3 million, reaching 28.4 million.1 (See table 1.) Almost exclusively responsible for the rising number of multi-earner families have been the steep annual in creases in the number and proportion of working wives. (See table 2.) Year after year, married women have con tinued to record spectacular gains in labor force partici pation. Since March 1970, the number of wives in the work force has increased by one-third, rising from 18.4 million to nearly 24 million. More than half of this gain (54 percent) was among wives 25 to 34 years old. The labor force participation rate of married women had risen to 49.4 percent by March 1979, an increase of nearly 9 percentage points since 1970. (See table 3.) In contrast, the participation rate of husbands has been in a long-term decline. At 81.4 percent in March 1979, the rate for husbands had dropped by more than 5 percent age points since 1970—a reduction greater than that re corded during the preceding 2 decades. Continuing its upward trend, the rate for white wives rose significantly over the year ending in March 1979, reaching 48.5 percent. The participation rates for black (59.7 percent) and Hispanic wives (46.3 percent) regis tered no significant change from a year earlier but have also risen considerably since the mid-1970’s. Reflecting the higher labor force participation rate of black wives, the proportion of black families with 2 earners or more during 1978 was higher than that for white or Hispanic; 64.5 percent of black married-couple families, compared with 59 percent of white and Hispanic families, had more than one earner. Beverly L. Johnson is a social science research analyst in the Office of Current Employment Analysis, Bureau of Labor Statistics. 48 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis There was little year-to-year change in the labor force participation of husbands whether white, black, or His panic. However, both the rates for white and black hus bands have drifted down over the decade, to 81.5 and 80.0 percent. The rate for Hispanic husbands (87.4 per cent) was at the same level in early 1979 as at mid decade (when separate data for this ethnic group first became available). Family income Working wives made substantial contributions to their families’ economic welfare. In 1978, they contrib uted about 26 percent to family income, a proportion that varied considerably by the extent of their work ex perience. When wives worked 50 to 52 weeks full time they contributed an average of 40 percent to family in come; when they worked full time 27 to 49 weeks, they contributed about 30 percent; and when they worked up to a half year full time or 1 to 52 weeks part time, their share was approximately 11 percent. These pro portions have remained relatively unchanged through out the 1970’s. One factor accounting for this is that there has been very little change in the occupational dis tribution of wives; that is, they have not yet gained full access to many of the high skill, high paying jobs. It is largely because of this that the basic ratio of women’s to men’s earnings has not changed much for years.2 The impact of wives’ earnings on family income is clearly shown by the income differences between oneearner and multiple-earner families. In 1978, median family income for white multi-earner families was $23,300, 37 percent higher than families with one earn er. For black families with two earners or more, median family income was $19,500, 66 percent higher than that of families with only one earner. Hispanic multi-earner families had an average annual income of $17,900, 59 percent higher than that of families with only one earn er. Because of this, married-couple families with multi ple earners have an exceedingly low incidence of poverty.3 For white families with more than one earner, fewer than 2 percent were living below the poverty lev el, compared with 6 percent of the families with only one earner and 16 percent of those families with no earners. For black and Hispanic multi-earner families, only about 5.5 percent were living below the poverty level. However, as among the white population, the Table 1. Number of earners in previous year, by type of family in March 1970 and March 1979 and by race, March 1979 All families Item March 1970 Number (in thousands) March 1979 Percent distribution Number (in thousands) Percent distribution White Black March 1979 March 1979 Number (in thousands) Percent distribution Number (In thousands) Percent distribution Families, total ........................................ 51,237 Married-couple families, to ta l............................. No e a rn e rs................................................. 1 earner ................................................. Husband o n ly ...................................... Wife o n ly ............................................ Other relative only ............................. 2 earners or more ................................. Husband and wife1 ........................... Husband and other, not w ife ............. Husband non-earner.......................... 44,436 3,022 16,268 15,133 797 339 25,145 20,327 4,517 302 100.0 6.8 36.6 34.1 1.8 .8 56.6 45.7 10.2 .7 47,692 5,101 14,173 12,194 1,477 502 28,418 24,253 3,583 582 100.0 10.7 29.7 25.6 3.1 1.1 59.6 50.9 7.5 1.2 43,636 4,777 13,054 11,320 1,294 441 25,805 21,948 3,379 478 100.0 10.9 29.9 25.9 3.0 1.0 59.1 50.3 7.7 1.1 3,244 276 875 664 161 50 2,092 1,858 154 79 100.0 8.5 27.0 20.5 5.0 1.5 64.5 57.3 4.7 2.4 Other families, total .......................................... Maintained by women2 ............................. No earners ............................................ 1 earner ................................................. 2 earners or more ................................. 6,801 5,573 1,194 2,468 1,911 100.0 21.4 44.2 34.3 10,113 8,458 1,964 4,114 2,380 100.0 23.2 48.6 28.1 7,273 5,918 1,213 2,909 1,796 100.0 20.5 49.2 30.3 2,662 2,390 712 1,147 531 100.0 29.8 48.0 22.2 Maintained by men2 ................................. No earners ............................................ 1 earner ................................................. 2 earners or more ................................. 1,239 121 520 598 100.0 9.7 41.9 48.2 1,655 189 746 719 100.0 11.4 45.1 43.4 1,355 151 602 602 100.0 11.1 44.4 44.4 272 35 131 105 100.0 12.9 48.2 38.6 57,804 1May also include sons, daughters, or other family members. 2 Maintained by divorced, separated, widowed, or never-married persons. poverty rate among these minority groups was 4 times higher for families with only one earner and 8 to 9 times higher for those married-couple families with no earners in the home. Married-couple families with children under 18 were far more likely to have two earners or more than were those families with no children — 63 percent, compared with 51 percent in March 1978.4 This reflects both greater economic pressures of families raising schooland preschool-age children, as well as the comparatively higher concentration of older, often retired, husbands and wives among families with no children. About 51 percent of wives with no children under 18 were age 55 and older, compared with only 2 percent of the married mothers with children under 18. Working mothers. The labor force commitment of all mothers showed unusual strength in the 1970’s and by March 1979, 16.6 million, or 54 percent, of the women with children under 18 were working or looking for work. (This compares with 12 million or 42 percent in 1970, and 8 million or 30 percent in 1960.) Most work ing mothers were married but nearly 1 of 4 (23 percent) was divorced, separated, widowed, or had never been married. Partly reflecting the sharp decline in birth rates5 during the 1970’s, and consequently fewer children for families to care for, the labor force participation rate of married mothers zoomed upward—from 39.7 percent in March 1970 to 51.8 percent. (See table 4.) Divorced mothers remained far more likely than other mothers to be working or looking for work — 79 percent did so in March 1979.6 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 50,910 5,906 NOTE: Due to rounding, sums of individual items may not equal totals. The tremendous influx of mothers into the 1970’s work force occurred both among those with school-age as well as those with preschool-age children; in March 1979, 62 percent of mothers with children 6 to 17 years old and 45 percent of those with children under age 6 were working or looking for work. Comparable rates for 1970 were 52 and 32 percent. Black mothers are still more likely than white or His panic mothers to be in the labor force. However, the sharpest increase in participation during the late 1970’s has been registered by white mothers. As a result, the difference in labor force participation between black and white mothers has narrowed considerably. From March 1975 to 1979, the rate for white mothers rose from 46.0 Table 2. The civilian labor force, by sex and marital status, March 1970 and 1979 [Numbers in thousands] Civilian labor force Sex and marital status March 1970 March 1979 Number Percent Number Percent Both sexes, total ............. 81,693 100 0 101,579 100.0 Men, to ta l..................................... Never m arried...................... Married, wife p resent........... Married, wife absent............. W idowed............................... Divorced............................... 50,460 9,421 38,123 1,053 672 1,191 61.8 11.5 46.7 1.3 0.8 1.5 58,608 14,895 38,756 1,599 570 2,789 57.7 14.7 382 1.6 0.6 2.7 Women, total ............................... Never m arried...................... Married, husband present . . . Married, husband absent . . . Widowed............................... D ivorced............................... 31,233 6,965 18,377 1,422 2,545 1,927 38.2 8.5 22.5 1.7 3.1 2.4 42,971 11,006 23,832 1,808 2,358 3,967 42.3 10.8 235 1.8 2.3 3.9 49 MONTHLY LABOR REVIEW April 1980 • Special Labor Reports— Summaries Table 3. Civilian labor force participation rates of persons 16 years and over, by race, Hispanic origin, marital status, and sex, March 1979 [Numbers in thousands] White All persons Marital status and sex Black Hispanic Number Labor force participation rate Number Labor force participation rate Number Labor force participation rate Number Labor force participation rate Both sexes, total ...................... 101,579 63.2 89,507 63.5 10,144 60.4 4,795 63.6 M en....................................................... Never m arried............................... Married, wife present.................... Other marital status...................... Married, wife absent.................. W idowed................................... D ivorced................................... 58,608 14,895 38,756 4,957 1,599 570 2,789 77.0 70.9 81.4 66.2 76.5 29.3 80.9 52,297 12,874 35,474 3,948 1,134 439 2,375 77.8 72.7 81.5 66.6 79.1 27.5 81.9 5,246 1,760 2,585 900 405 116 379 70.2 51.8 * 80.0 64.5 69.0 37.6 75.8 2,936 786 1,852 298 162 22 114 81.1 70.1 87.4 78.9 86.7 (’ ) 84.9 Women ................................................. Never m arried............................... Married, husband present............. Other marital status...................... Married, husband absent ......... W idowed................................... Divorced................................... 42,971 11,006 23,832 8,133 1,808 2,358 3,967 50.7 62.7 49.4 43.1 58.8 22.6 74.0 37,210 9,296 21,391 6,523 1,136 1,988 3,400 50.4 65.2 48.5 42.2 58.9 22.0 75.3 4,899 1,502 1,920 1,477 632 322 523 52.6 50.7 59.7 47.0 58.9 25.0 66.8 1,859 502 1,028 330 117 58 154 47.4 56.0 46.3 40.8 40.4 22.2 60.2 ' Percent not shown where base is less than 75,000. NOTE: Due to rounding, sums of individual items may not equal totals. to 53.5 percent; for black mothers, it went from 56.0 to 61.3 percent; and for Hispanic mothers, the rate in creased from 39.5 to 44.8 percent. Children of working women. In March 1979, the number of children under 18 whose mother was in the labor force was 30.1 million, a gain of 4.6 million from 1970. (See table 5.) A smaller proportion of white (49 per cent) than of black children (61 percent) in two-parent families had working mothers. However, when there were no fathers in the home, white children were more likely than black to have mothers in the labor force— 67 and 53 percent, respectively. Among Hispanic chil dren, 43 percent of those in two-parent families had Table 4. Labor force status of women 16 years and over, by marital status, and presence and age of youngest child, March 1979 [Numbers In thousands] With children under 18 years Marital and labor force status Total No children under 18 years 6 to 17 years only Under 6 years Total 14 to 17 years, none younger 6 to 13 years Total 3 to 5 years, none younger Under 3 years Total Women, 16 years and over, to ta l...................... In labor force ............................................ Labor force participation rate ............... Unemployment rate ...................... 84,686 42,971 50.7 6.6 54,204 26,355 48.6 6.1 30,482 16,616 54.5 7.3 17,164 10,570 61.6 5.7 5,392 3,288 61.0 4.7 11,772 7,281 61.9 6.1 13,317 6,046 45.4 10.0 5,312 2,775 52.2 8.2 8,006 3,272 40.9 11.6 Never married ................................................... In labor force ............................................ Labor force participation rate ............... Unemployment rate ...................... 17,564 11,006 62.7 9.7 16,651 10,513 63.1 9.2 913 493 54.0 20.7 300 190 63.4 19.0 21 10 279 180 64.5 20.0 613 303 49.4 21.8 228 121 53.0 17.2 385 182 47.2 25.0 Married, husband present ................................. In labor force ............................................ Labor force participation rate ............... Unemployment rate ...................... 48,239 23,832 49.4 5.1 23,474 10,974 46.7 3.7 24,765 12,858 51.9 6.2 13,655 8,064 59.1 4.9 4,333 2,534 58.5 3.9 9,323 5,529 59.3 5.3 11,110 4,795 43.2 8.5 4,227 2,089 49.4 7.2 6,883 2,706 39.3 9.5 Married, husband absent................................... In labor force ............................................ Labor force participation rate . . . . . . . . . Unemployment rate ...................... 3,075 1,808 58.8 9.8 1,396 807 57.8 6.3 1,679 1,001 59.6 12.6 909 592 65.2 8.8 235 145 61.7 5.7 674 447 66.3 9.8 770 409 53.1 18.2 355 212 59.5 12.1 414 197 47.5 24.7 Widowed ............................................................ In labor force ............................................ Labor force participation rate ............... Unemployment rate ...................... 10,450 2,358 22.6 5.2 9,756 2,015 20.7 4.6 694 344 49.5 9.0 605 311 51.4 8.2 305 164 53.6 10.9 300 148 49.3 5.2 89 33 36.5 (’ ) 66 27 (’ ) (’ ) 23 6 (’ ) (’ ) Divorced ............................................................ In labor force ............................................ Labor force participation rate ............... Unemployment rate ...................... 5,359 3,967 74.0 6.1 2,928 2,047 69.9 4.8 2,431 1,920 79.0 7.6 1,694 1,412 83.4 6.5 498 435 87.4 6.4 1,196 977 81.7 6.6 736 508 68.9 10.4 436 327 749 8.4 300 181 60.3 14.0 1Rate not shown where base is less than 75,000. 50 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis (') NOTE: Due to rounding, sums of individual items may not equal totals. working mothers, compared with 39 percent of those in families maintained by the mother. One-parent families Among the most striking changes that occurred dur ing the 1970’s was the sharp rise in the number of working women who had the, principal responsibility for the maintenance and welfare of their own families. About 1 of every 9 women in the March 1979 labor force (5 million) maintained her own family and was di vorced, separated, widowed, or had never been married. Mainly because of the rising incidence of marital break up,7 the number of families maintained by women in creased substantially over the decade, so that in March 1979 these families totaled 8.5 million, or 1 of every 7 families. Children under 18 were present in about 5.3 million families maintained by women. (See table 6.) In fact, most of the over-the-decade gain in the number of fami lies maintained by women occurred among families with children. From March 1970 to 1979, the number of sin gle-parent families maintained by women rose by 80 percent, while those maintained by men increased by more than 70 percent.8 One-parent families are largely those of female house holders and face economic difficulties rarely encountered by families with male householders. In 1978, 42 of ev ery 100 single-parent families maintained by the mother had incomes below the poverty level, compared with 15 of every 100 maintained by the father and 6 of every 100 two-parent families.9 Accompanying the large increases in the numbers of mothers maintaining their own families have been un Table 5. Children under 18 years old, by age, type of family, and labor force status of mother, March 1970 and March 1979 [Numbers in thousands] Item Children total1 .................. Mother in labor force . . Mother not in labor force Married-couple families . . . . Mother in labor force . . Mother not In labor force Families maintained by women2 ...................... Mother in labor force .. Mother not in labor force Families maintained by men2 ............................. Total children under 18 Children 6 to 17 Children under 6 March 1970 March 1979 March 1970 March 1979 March 1970 March 1979 65,755 25,544 39,550 58,399 21,982 36,417 58,537 30,105 27,503 47,786 24,063 23,724 46,149 19,954 25,627 40,479 17,035 23,444 41,556 22,940 17,849 33,347 18,161 15,186 19,606 5,590 13,923 17,920 4,947 12,973 16,981 7,166 9,654 14,439 5,902 8,538 6,695 3,562 3,133 9,822 6,043 3,779 5,102 2,919 2,183 7,442 4,779 2,663 1,593 643 950 2,380 1,264 1,116 661 929 568 768 93 161 ' Children are defined as “ own” children of husband-wife families or of women or men maintaining families. Included are never-married sons, daughters, stepchildren, and adopted children. Excluded are other related children such as grandchildren, nieces, nephews, cous ins, and unrelated children. 2 Includes only divorced, separated, widowed, or never-married persons. NOTE: Due to rounding, sums of individual items may not equal totals. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Table 6. Labor force status of divorced, separated, widowed, or never-married women and men maintaining families, by presence and age of own children under 18, March 1970 and March 1979 [Numbers in thousands] March 1979 March 1970 Presence and age of children1 Women maintaining families .......................... With children under 18 years ...................... With children 6 -1 7 years .................. With children under 6 years .................. With no children under 18 .......................... Men2 maintaining families .. With children under 18 years ...................... With children 6 -1 7 years .................. With children under 6 years .................. With no children under 18 .......................... Labor force Popu partic lation ipation rate Labor force Labor force partic ipation rate 8,456 5,033 59.5 Popu lation Labor force 5,573 2,950 2,924 1,736 59.4 5,288 3,486 65.9 3,362 2,406 71.6 1,080 56.1 52.9 1,215 67.0 1,111 521 46.9 1,926 2,649 1,214 45.8 3,168 1,547 48.8 1,239 893 72.1 1,654 1,218 74.2 333 304 91.3 569 496 87.1 262 237 90.5 435 375 86.2 71 67 ( 3) 134 121 90.3 906 589 65.0 1,085 722 66.5 1,813 1Children are defined as “ own” children of husband-wife families or of women or men maintaining families. Included are never-married sons, daughters, stepchildren, and adopted children. Excluded are other related children such as grandchildren, nieces, nephews, cous ins, and unrelated children. 2 Includes a few male members of the Armed Forces living off post or with their families on post. 3 Percent not shown where base is less than 75,000. NOTE: Due to rounding, sums of individual items may not equal totals. precedented gains in the number who are working. In March 1979, 65.9 percent of mothers maintaining their own families were in the labor force, compared with 59.4 percent in 1970. As might be expected, the labor force participation rates of mothers in one-parent fami lies varied by the age of the youngest child, with those having school-age children being far more likely than those with their youngest child under 6 years to be in the labor force— 72 percent, compared with 56 percent. Women who are divorced, separated, or widowed often experience substantial declines in their family income. In 1978, the median income of families maintained by the mother was only 34 percent that of two-parent fam ilies. However, when the single parent was a father, the rate jumped to 71 percent. Several factors contributed to these income differ ences. First, families maintained by the mother are far more likely to have no earners in the home than are other families. Approximately 28 percent of families maintained by mothers, compared with 9 percent of those maintained by fathers and only 1.6 percent of two-parent families, had no earners in the home. Sec ond, single-parent families maintained by the mother were less apt to have 2 earners or more— only 19 per cent had 2 earners or more, compared with 28 percent of one-parent families maintained by the father and 64 percent of two-parent families. Furthermore, a very high 51 MONTHLY LABOR REVIEW April 1980 • Special Labor Reports— Summaries proportion of mothers in single-parent families had not completed high school— 4 out of 10 in March 1979— and low educational levels are usually associated with low labor force participation, high unemployment, and low pay. Even when the mother was in the labor force, family income was likely to be considerably lower than that of either two-parent families with working mothers or sin gle-parent families maintained by working fathers. Av erage income in 1978 of single-parent families with working mothers ($8,900) was only 40 percent that of two-parent families with working mothers ($22,200) and 54 percent that of one-parent families maintained by working fathers. □ FOOTNOTES ' This report is the latest from an annual series based primarily on information from supplementary questions in the March Current Pop ulation Survey. The most recent report on this subject, containing data for March 1978, was published in the M o n th ly L a b o r R ev ie w , April 1979, and reprinted as Special Labor Force Report No. 219. The data in this report relate to the noninstitutional population 16 years and over, including those male members of the Armed Forces living off post or with their families on post (824,000 in March 1979). Sampling variability may be relatively large in cases where numbers are small, and small differences between estimates or percentages should be interpreted with caution. 2Janet L. Norwood and Elizabeth Waldman, W o m en in th e L a b o r F orce: S o m e N e w D a ta Series, Bureau of Labor Statistics Report 575. Also see, T h e E a rn in g s G a p B etw e e n W o m en a n d M en , U.S. Depart ment of Labor, Office of the Secretary, Women’s Bureau, 1979. 3Families are classified as being above or below the low income lev el according to the poverty index adopted by a Federal interagency committee in 1969. The poverty thresholds are updated every year to reflect changes in the Consumer Price Index. Thus, the poverty threshold for a nonfarm family of four was $6,662 in 1978, 7.6 per 52 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis cent higher than the comparable 1977 cutoff of $6,191. For further details, see C h a r a c te r istic s o f th e P o p u la tio n b e lo w th e P o v e r ty L e v e l: 1 977, Current Population Reports, Consumer Income, Series P -6 0 , No. 119 (Bureau of the Census) 1979, p. 206. 4 Latest data available from special computer run for March 1978. 5The birth rate declined from 18.4 per thousand population in 1970 to 15.3 per thousand in 1978. See M o n th ly V ita l S ta tis tic s R ep o rts, Vol. 27, No. 13, August 13, 1979 and Vol. 23, No. 13, May 30, 1975, U.S. Department of Health, Education, and Welfare, Public Health Ser vice. 6 For a detailed discussion on working mothers during the 1970’s, see Elizabeth Waldman and others, “Working mothers in the 1970’s: a look at the statistics,” M o n th ly L a b o r R ev ie w , October 1979, pp. 39-49. M o n th ly V ita l S ta tistic s, Vol. 27, No. 13, p. 10. 8 Beverly L. Johnson, S in g le -P a r e n t F a m ilies, a speech presented to the U.S. Department of Agriculture Conference on Outlook of the 80’s, Released 10:45, November 7, 1979. 9 C o n s u m e r I n c o m e R ep o rt, Series P -6 0 , No. 120, November 1979. f Research Summaries Workers’ expectations about losing and replacing their jobs C harles N. W eaver How secure do workers feel about keeping their jobs? How confident are they that they could find another job? Two recent nationwide surveys indicate a high degree of confidence on both counts, despite relatively high un employment. In 1977 and in 1978, only a few of the workers surveyed feared the loss of their jobs, and a majority thought they could find comparable work without much difficulty. (In 1977, the national unem ployment rate was 7 percent and in 1978, 6 percent.) The results indicate considerable variations, however, among various categories of full-time workers. Certain workers, including blacks, those with less education, lower earnings, and lower skilled jobs, tended to experi ence greater insecurity of employment. They were more likely to fear the loss of their jobs or of being laid off within the next 12 months and were more likely to an ticipate difficulty in finding a comparable job. Similarly, workers with more education, higher earnings, and higher skilled jobs typically experienced a greater sense of security in their present jobs and were more likely to believe that finding a comparable job would be easy. The data were taken from the 1977 and 1978 General Social Surveys conducted by the National Opinion Re search Center at the University of Chicago, with funds from the National Science Foundation.1 Expectations about losing one’s job and about finding another job were measured by responses to the following ques tions: Thinking about the next 12 months, how likely do you think it is that you will lose your job or be laid off— very likely, fairly likely, not too likely, or not at all likely? About how easy would it be for you to find a job with an other employer with approximately the same income and fringe benefits you have now? Would you say very easy, somewhat easy, or not easy at all? Charles N. Weaver is a professor at the School of Business and Ad ministration, St. Mary’s University, San Antonio, Texas. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis / n o oi , a When both sets of expectations are considered, sever al important dimensions of worker attitudes toward job security become apparent (table 1). For instance, blacks were not only almost twice as likely as whites to expect to lose their jobs or be laid off within the next 12 months, but were also significantly less likely than whites to believe that finding another job would be easy. Additionally, older workers were less likely to ex pect that they would lose their jobs or be laid off within the next 12 months (probably due to seniority), but they were more likely to believe that it would be dif ficult to find a job with similar earnings and fringe bene fits. Table 1. Workers who expect to lose their jobs and those who think they could find another job without much trouble [In percent] Expect to lose job Could find another job 7.7 59.2 Male ............................. Female ........................ 7.7 7.7 60.5 57.6 Race: W h ite ............................. B la c k ............................. 7.0 13.2 60.2 50.3 1 8 - 2 9 ........................... 30-39 ........................... 40-49 ........................... 50-59 ........................... 60 and over .................. 11.1 8.5 5.2 4.5 3.4 67.9 62.3 59.5 46.7 24.4 Education: Grade school ............... High school .................. Some college-............... College degree............. Graduate work ............. 9.0 8.8 9.0 2.7 1.3 48.8 56.9 68.4 62.2 72.3 White-collar workers: Professional-technical .. Administrative-managerial Salesworkers ............... Clerical workers ........... 3.2 5.4 3.8 8.0 67.4 65.4 58.9 61.4 Blue-collar workers: Craftworkers ............... Operatives.................... Laborers ...................... Service workers ........... 9.3 13.7 15.1 8.2 63.1 45.8 41.1 54.0 Personal income: Less than $5,000 ......... $5,000-$6,999 ............. $7,000-$9,999 ............. $10,000-$14,999 ......... $15,000-$19,999 ......... $20,000 and over ......... 12.7 8.1 9.5 7.4 6.8 1.0 65.1 59.9 57.2 55.2 55.8 63.8 Characteristics Overall ................................. Sex: Age: MONTHLY LABOR REVIEW April 1980 • Research Summaries Workers with elementary school, high school, or some college education were much more likely than those with a college or graduate school education to be lieve they would lose their jobs or be laid off within the next 12 months, and workers with an elementary school or high school education were less likely than those with higher education to believe that it would be easy to find a similar job. In contrast to blue-collar workers, white-collar work ers were only half as likely to believe they would lose their jobs or be laid off within the next 12 months, and were significantly more likely to believe that finding an other job would be easy. However, expectations of los ing and finding employment varied considerably within the white- and blue-collar occupational categories. Pro fessional-technical and administrative-managerial work ers had the lowest expectations about losing their jobs or being laid off, and had the most confidence about finding another job. On the other hand, salesworkers also had low expectations about losing their jobs or be ing laid off but were least confident (among white-collar workers) about finding another job. And, compared with other white-collar workers, clerical workers had the highest expectations about losing their jobs or being laid off but had moderately high expectations about the ease of finding another job. Among blue-collar workers, operatives and laborers felt most insecure about their jobs, and were most skeptical about finding a similar job. Service workers were the least concerned about blue-collar workers losing their jobs but did not believe that finding a similar job would be easy. Craftworkers had moderately high expectations about losing their jobs, but had the highest expectations (among blue-col lar workers) that finding another job would be easy. Workers whose annual salaries were less than $5,000 had the highest expectations that they would lose their jobs or be laid off within the next 12 months, but they also had the highest expectations that it would be easy to find a similar job with another employer. Workers in the highest salary category, over $20,000, had the low est expectations that they would lose their jobs or be laid off and had highest expectations that it would be easy to find a similar job. Workers whose salaries ranged in categories between $5,000 and $20,000 had approximately the same expectations about both losing their jobs and about finding similar jobs with other em ployers. Knowing the characteristics of workers who expect to lose their jobs and of those who believe that they could easily find other jobs should be important for the fol lowing reasons. Because job security and job satisfac tion are correlated,2 those interested in improving morale should benefit from having knowledge of the conditions under which worker expectations about los ing their jobs are most intense. And, because unemploy 54 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis ment is correlated with jobseeker discouragement,3those interested in increasing employment should benefit from having knowledge of the conditions associated with fluctuations in worker expectations about finding anoth er job. Furthermore, having knowledge of the condi tions associated with both of these sets of expectations for the same workers should increase understanding of the attitudes of workers toward their overall employ ment security. □ --------- F O O T N O T E S ---------1Only persons age 18 and older who reported in the face-to-face in terviews that they were employed full-time (35 hours or more per week) were included in this study, and the two groups were pooled into a single sample of 1,463 for analysis. 2 F. Herzberg, B. Mausner, R. O. Peterson, and D. F. Capwell, J o b (Pittsburgh Psychological Service of Pittsburgh, 1957). A ttitu d e s : R e v ie w o f R e s e a rc h a n d O p in io n 3Carol M. Ondeck, “Discouraged workers’ • link to jobless rate reaffirmed,” M o n th ly L a b o r R ev ie w , October 1978, pp. 40-42. Hours and earnings of production or nonsupervisory workers, 1968-78 How ard D a v is Average hourly earnings of production or nonsuper visory employees on private, nonagricultural payrolls in creased between 1968 and 1978 at an annual rate of 7.2 percent.1 Average weekly hours dropped by 2 hours, from 37.8 to 35.8. All industry divisions exhibited hourly declines ex cept mining, as shown in table 1. Rising from a low of 41.9 hours in 1974 and 1975, mining reached a decadehigh of 43.4 hours in 1977 and remained the same in 1978 under the stimulus of strong gains in coal mining and oil and gas extraction. The largest 11-year drops occurred in retail trade ( —3.7 hours), services ( —1.9 hours), and wholesale trade ( —1.3 hours). Average weekly hours did not increase in any of these three in dustries after 1969. This was also true for hours in the finance, insurance, and real estate industry, although the total decline was only 0.6 of an hour. A general cyclical pattern appears in mining, manu facturing, construction, and transportation and public utilities. Decreases in the number of hours in these in dustries occurred after the peak of economic expansion and either stopped descending or increased within the year following the recession low.2 The persisting decline of hours in trade and services Howard Davis is an economist in the Office of Employment Structure and Trends, Bureau of Labor Statistics. is related to the marked increase in part-time employ ment in these sectors. The average workweek for the private sector would have been 37.4 in 1978, rather than 35.8 hours, if the number of hours in each indus try division in 1968 had been the same in 1978. The general decline within the various divisions would have reduced the average workweek by only 0.4 of an hour as a result of changes in compositional employment. The drop in hours paid for in the retail trade and serv ice divisions amounted to 83 percent of the remaining decrease of 1.6 hours. Thus, much of the apparent long term decline in weekly hours in the private sector is due to the pronounced shift of employment toward these rapidly expanding divisions. As in the case of hours, divergences exist in the tem po of average hourly earning increases among industry divisions over the 11-year period. And for any given year, there is considerable variance among the year-toyear changes. While the overall pace of increase in aver age hourly earnings was 7.2 percent per year, the annu al rate of change for individual industry divisions ranged from a high of 8.6 percent for mining to a low of 6.0 percent for the finance, insurance, and real estate industry. As shown in table 2, average hourly earnings in mining rose from 118 percent of the overall average for 1968 to nearly 135 percent in 1978, while earnings in retail trade dipped from 76 to 74 percent of the over all average. Nevertheless, the rankings among the indus try divisions evidenced considerable stability over the 11-year period. Earnings in mining exhibited the largest relative im provement, while those in finance, insurance, and real estate posted the largest slippage. In retail trade, earn ings eased off slightly, remaining the lowest among the industry divisions. Average hourly earnings in the trans portation and public utility industry also increased sig nificantly, rising from 120 percent to almost 133 per Table 1. Average weekly hours and average hourly earnings of production or nonsupervisory workers on private nonagricultural payrolls, 1968 and 1978 Industry division T o ta l........... Mining .................... Construction........... Durable goods, manufacturing . .. Nondurable goods, manufacturing . . , Transportation and public utilities . . . Wholesale trade . . , Retail trade ........... Finance, insurance, and real estate . , Services ............... Average hourly earnings Annual rate of growth Change in hours Hours 1968 1978 1968 78 1968 1978 1968 78 S2.85 3.35 4.41 $5 69 7.67 8.65 7.2 8.6 7.0 37.8 426 37.3 35.8 43.4 36.9 -2.0 + 8 - .4 3.19 6.58 7.5 41.4 41.1 - .3 2.74 5.53 7.3 39.8 39.4 - .4 3.42 3.05 21.6 7.55 5.88 4.19 8.2 6.8 6.9 40.6 40.1 34.7 40.0 38.8 31.0 - .6 -1.3 -3.7 2.75 2.42 4.90 4.99 6.0 7.5 37.0 34.7 36.4 32.8 - .6 -1.9 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Table 2. Average hourly earnings, by industry division, as percent of total private nonagricultural payrolls, 1968 and 1978 Industry division Mining ................................................. Construction........................................ Durable goods, manufacturing ........... Nondurable goods, manufacturing Transportation and public utilities . . . . Wholesale trade ................................. Retail trade ........................................ Finance, insurance, and real estate .. Services.............................................. 1968 Rank 1978 Rank 117.5 154.7 111.9 96.1 120.0 107.0 75.8 96.5 84.9 7 9 6 3 8 5 1 4 2 134.8 152.0 115.6 97.2 132.7 103.3 73.6 86.1 87.7 8 9 6 4 7 5 1 2 3 cent of the overall average. The slow pace of earnings growth in retail trade doubtlessly reflects the increase in the number of parttime workers, who are generally paid about the mini mum wage. Voluntary part-time employment amounted to 26.1 percent in retail trade in 1968; by 1978, the pro portion was 29.4 percent. The trend of yearly increase in average hourly earnings picked up slightly in manu facturing and trade after the cyclical peak in 1973, re flecting the discontinuation of wage and price controls on May 1, 1974. The annual rate of growth in durable manufacturing jumped from 6.4 in 1968-73 to 8.6 per cent in 1974-78 and in nondurable manufacturing from 6.2 to 8.4 percent. In wholesale trade, earnings rose 5.9 percent and 7.6 percent. Similarly, in retail trade, the annual pace jumped from 6.2 to 7.6 percent. Construction, in contrast, was the only industry divi sion displaying a slowing in the annual rate of increase of earnings. After 1971 and the imposition of wage con trols, the pace slowed to 6.1 percent compared with the 8.9 percent prevailing from 1968 through 1971. Howev er, the tempo of increases in these 3 years was sharply above those in any of the other divisions. Pronounced jumps in earnings occurred in the trans portation and public utility industry in 1971, and in mining in 1972. In both cases, the increases were the aftereffect of strikes by railroad workers and coal min ers. Earnings in mining rose again, and with vigor, in 1974, 1975, and 1978. These wage increases followed strike activity in 1974 (after economic controls were lift ed), and again in 1978. Coal mining and construction accounted for a significant proportion (41 percent) of the workers involved in walkouts, and of all days lost to strikes in 1974 (35 percent). There was a 25.5-percent increase in mining earnings over the years 1974 and 1975. This is the largest consecutive 2-year increase re corded in any industry between 1968-78. □ --------- F O O T N O T E S ---------- 1 Hours referred to are paid but not necessarily worked, for exam ple, paid holidays. 55 MONTHLY LABOR REVIEW April 1980 • Research Summaries 2The cyclical peaks and troughs are as defined by the National Bureau of Economic Research. Occupational earnings in auto dealer repair shops Average straight-time earnings of journeymen mechan ics in auto dealer repair shops ranged from $7.42 in Memphis to over $10 an hour in Houston, San Francisco-Oakland, and Detroit, among 23 areas sur veyed by the Bureau of Labor Statistics in June 1978. Earnings for lubricators, usually the lowest-paid group of workers among eight occupations studied in repair and ’ parts departments, ranged from $3.38 in Philadelphia to $7.52 in Los Angeles-Long Beach. Painters ($6.24-$14.34) and body repairers ($7.72$11.53) generally had the highest average hourly earn ings among the surveyed jobs. Other groups surveyed and their salary ranges were: service mechanics ($4.80$9.44), new-car get-ready workers ($4.01-$7.54), parts clerks ($4.76-$8.82), and service salesworkers ($5.61 — $ 10. 01). Earnings in San Francisco-Oakland, Houston, and Detroit were typically among the highest reported; those in Boston, Memphis, Philadelphia, and Pittsburgh were generally among the lowest. The following tabula tion illustrates the pay level relationships for the 23 areas studied (New York average equals 100), based on the combined averages for six of the repair shop occu pations which were common to all areas: Area Relative pay level San Francisco-O akland ..................................... H o u s to n .................................................................. D e tr o it..................................................................... Chicago, Los Angeles-Long Beach ................ D allas-F t. Worth, D enver-Boulder, St. Louis Miami, M inneapolis-St. Paul, New York . . . Atlanta, Kansas City, Nassau-Suffolk, 56 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 125-129 120-124 115-119 110-114 105-109 100-104 Portland, W ash in g to n ..................................... Birmingham, Indianapolis, Milwaukee ........... Boston, Memphis, Philadelphia, Pittsburgh . . 95-99 90-94 85-89 Also, hourly earnings relationships between occupa tions varied widely by area. For instance, in Kansas City, body repairers averaged 28 percent more than lu bricators; in Detroit and Houston, they averaged about 75 percent more; and in Chicago, Philadelphia, Pitts burgh, Portland, and Washington, D.C., they earned more than twice as much. Workers paid on an incentive basis accounted for about one-half of the production workers in the survey and nearly always averaged higher earnings than their time-rated counterparts. The prevalence of incentive pay also contributed to the wide dispersion of individual earnings within the same job and area. Auto body re pairers and painters were most frequently paid on the basis of a flat rate percentage, receiving a stipulated proportion (usually 40 to 50 percent) of the labor cost charged to the customer; parts clerks and service salesworkers were virtually always on commission; and incentive workers in the four remaining occupations usually were under flat-rate-hours systems, in which pay is computed by multiplying the number of hours prede termined for each task by an established rate. Both holidays and vacations with pay were provided for most workers in nearly all areas. Life, hospitaliza tion, surgical, basic medical, and major medical insur ance plans were provided to nine-tenths or more of the production workers in most areas. Retirement pension plans covered at least one-half the workers in only 10 of the 23 areas studied. Individual reports for each of the areas in the sur vey were issued earlier and are available upon request from the Bureau of Labor Statistics or any of its re gional offices. A comprehensive bulletin, Industry Wage Survey: Auto Dealer Repair Shops, June 1978, is avail able. □ Significant Decisions In Labor Cases Safety first Overruling two of the three appeals courts which have considered the issue, the Supreme Court recently ap proved a Labor Department regulation supplementing the explicit procedures of the Occupational Safety and Health Act of 1970 in order to fulfill the purposes of that act. Because OSHA was designed to protect work ers and to require employers to eliminate work place hazards, the Court upheld a regulation giving workers the right to refuse to perform hazardous jobs if they reasonably believe there is no other way to avoid risk of serious injury or death. However, the Court also made clear that employers had no obligation to pay workers for the time that they have refused to work. ( Whirlpool Corp. v. Marshall.') Following the death caused by a worker’s stepping onto a wire mesh guard 20 feet above a factory floor, the Whirlpool Corp. issued a directive forbidding work ers from standing on the mesh. Twelve days later, two workers were ordered onto the mesh (which they had already reported to OSHA, after their employer refused to repair it at their request) but refused to step on it. They were reprimanded and sent home without pay. In the Supreme Court, both sides agreed that these workers’ actions were covered by a Labor Department regulation providing: [A]s a general matter, there is no right afforded by the act which would entitle employees to walk off the job be cause of potential unsafe conditions at the workplace. . . . However, . . . if the employee, with no reasonable alterna tive, refuses in good faith to expose himself to the danger ous condition, he would be protected against subsequent discrimination. The condition causing the employee’s appre hension of death or injury must be . . . reasonable . . . In this case, the district court ruled that the regula tion was invalid because it was not authorized by the OSHA statute. Although the Fifth and Tenth Circuits had ruled the same way in two similar cases,2 the Sixth Circuit reversed.3 In upholding the Sixth Circuit’s decision, the Su preme Court held that the Labor Department regula tion “clearly conforms to the fundamental objective of “Significant Decisions in Labor Cases” is written by Gregory J. Mounts of the M o n th ly L a b o r R e v ie w staff. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis the Act — to prevent occupational deaths and serious illnesses.” Although OSHA does not mention a right to refuse to work under unsafe conditions, Justice Potter Stewart’s opinion for a unanimous Court reasoned that the Secretary of Labor had the power to find such an implied right in the law because Congress had intended to prevent injuries and to require employers to elimi nate dangers in the workplace: The regulation thus on its face appears to further the overriding purpose of the Act, and rationally to comple ment its remedial scheme. In the absence of some contrary indication in the legislative history, the Secretary’s regula tion must, therefore, be upheld, particularly when it is re membered that safety legislation is to be liberally construed to effectuate the congressional purpose. Following a review of the legislative history, Stewart concluded that in rejecting earlier versions of the OSHA legislation granting workers and the Labor De partment other specified rights, the Congress had not meant to prevent workers from refusing to perform hazardous jobs when they had no reasonable alterna tive. Similar rights have been found under the Federal Mine Safety and Health Act Amendments of 1977 and under the NLRA and the Labor Management Relations Act.4 The collegial bargain The Supreme Court recently ruled that the faculty at Yeshiva University is not entitled to the collective bargaining rights provided “employees” under the Na tional Labor Relations Act. In a close 5-to-4 decision, the Court rejected the assertion of the National Labor Relations Board that, within the authority structure of such academic institutions, faculty members are profes sional workers whose interests are separate from those of the institution. Instead, the Court found that Yeshiva’s faculty acts in a managerial capacity “by taking or recommending discretionary actions that effectively con trol or implement employer policy.” Thus, the Court concluded that the establishment of collective bargain ing for most of the Yeshiva faculty would lead to a di vision of loyalty that Congress had sought to prevent. (NLRB v. Yeshiva Univ.5) In reaching its verdict, the Court established two cru cial elements to support its interpretation of the mana gerial exclusion. First, Justice Lewis Powell’s majority 57 MONTHLY LABOR REVIEW April 1980 • Significant Decisions in Labor Cases opinion concluded that the Yeshiva faculty exercise au thority which “in any other context” unquestionably would be managerial: . . . Their authority in academic matters is absolute. They decide what courses will be offered, when they will be scheduled, and to whom they will be taught. They debate and determine teaching methods, grading policies, and ma triculation standards. They effectively decide which students will be admitted, retained, and graduated. On occasion their views have determined the size of the student body, the tu ition to be charged, and the location of a school. When one considers the functions of a university, it is difficult to imagine decisions more managerial than these. To the ex tent the industrial analogy applies, the faculty determines within each school the product to be produced, the terms upon which it will be offered, and the customers who will be served. In addition, the Court noted that the faculty members also play a predominant role in faculty hiring, tenure, sabbaticals, termination, and promotion. Thus, the Ye shiva faculty’s functions represent the range of charac teristics that make faculty jobs managerial in scope, rather than purely professional. At the other end of the scale, Powell noted that professors who merely “deter mine the content of their own courses, evaluate their own students, and supervise their own research” would not be subject to the managerial exclusion. Moreover, he suggested that the structure and operation of a school’s faculty could provide a rational line— such as tenure—for distinguishing those who properly could be included in a bargaining unit. Powell even speculated that the Board might be able to make such distinctions among the Yeshiva faculty. The second important element in Powell’s majority opinion explicitly rejected the Board’s argument that the Yeshiva faculty’s role in decisionmaking is not man agerial because it involves only the exercise of “indepen dent professional judgment” in academic governance. Powell noted that the Board had implicitly rejected this criterion when it applied the managerial exclusion to certain professionals in other cases,6 and he explained why it would be particularly inappropriate in a collegial setting: . . . [T]he Board’s approach would undermine the goal it purports to serve: To ensure that employees who exercise discretionary authority on behalf of the employer will not divide their loyalty between employer and union. In arguing that a faculty member exercising independent judgment acts primarily in his own interest and therefore does not repre sent the interest of his employer, the Board assumes that the professional interests of the faculty and the interests of the institution are distinct, separable entities with which a faculty member could not simultaneously be aligned. The Court of Appeals found no justification for this distinction, 58 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis and we perceive none. In fact, the faculty’s professional in terests— as applied to governance at a university like Yeshi va— cannot be separated from those of the institution. . . . Faculty members enhance their own standing and fulfill their professional mission by ensuring that the university’s objectives are met. But there can be no doubt that the quest for academic excellence and institutional distinction is a “policy” to which the administration expects the faculty to adhere, whether it be defined as a professional or an in stitutional goal. It is fruitless to ask whether an employee is ‘expected to conform’ to one goal or another when the two are essentially the same. Justice William Brennan, joined by Justices White, Blackmun, and Marshall, dissented from the Court’s opinion. Not only did the majority exceed the Court’s limited role in reviewing Board decisions, he wrote, but it reversed a reasonable policy conclusion resulting from an exhaustive analysis by the Board. Brennan specifically objected to the majority’s rea soning that the interests of the university and those of the faculty are inseparable. The congruence of their in terests in certain academic and professional areas does abrogate the faculty’s right to collective bargaining on issues where some conflict exists, he observed: . . . The very fact that Yeshiva’s faculty has voted for the union . . . indicates that the faculty does not perceive its in terests to be aligned with those of management. Indeed, on the precise topics which are specified as mandatory subjects of collective bargaining— wages, hours, and other terms and conditions of employment— the interests of teacher and administrator are often diametrically opposed. --------' W h ir lp o o l 1980). C orp. F O O T N O T E S --------- v. M a rs h a ll, 48 U.S.L.W. 4189 (U.S., Feb. 26, 2 M a r s h a ll v. D a n ie l C o n stru ctio n C o., 563 F.2d 707 (5th Cir., 1977), M o n th ly L a b o r R ev ie w , March 1979, p. 61; and M a r s h a ll v. C e r ti f i e d W e ld in g C orp., CCH OSHD 23,257 (10th Cir., 1978). see 3M a r s h a ll v. W h irlp o o l C o rp ., 593 M o n th ly L a b o r R ev ie w , June 1979, pp. F.2d 715 (6th Cir., 1979), see 44-45. 4According to the Court, the Secretary of Labor’s interpretation of OSHA in this area “conforms to the interpretation that Congress clearly wished the courts to give the parallel antidiscrimination provision of the Federal Mine Safety and Health Amendments Act of 1977, 30 U.S.C. Sec. 801 e t s e q ." In addition, Sec. 7 of the National Labor Relations Act, 29 U.S.C. Sec. 157, provides employees a pro tected right to strike over safety issues. Similarly, Sec. 502 of the La bor Management Relations Act, 29 U.S.C. Sec. 143, provides that “the quitting of labor by an employee or employees in good faith be cause of abnormally dangerous conditions for work . . . [shall not] be deemed a strike.” The effect of this section is to create an ex ception to a no-strike obligation in a collective bargaining contract. 5N L R B v. Y esh iva U niv., 48 U.S.L.W. 4175 (U.S., Feb. 20, 1980). 6 U n iv e rs ity o f C h ic a g o L ib ra r y , 205 N.L.R.B. 220 (1973), enforced 506 F.2d 1402 (7th Cir., 1974); and S u tte r C o m m u n ity H o s p ita ls o f S a c r a m e n to , 227 N.L.R.B. 181 (1976). M ajor Agreements Expiring Next M onth T h is lis t o f c o lle c t iv e b a r g a in in g a g r e e m e n ts e x p ir in g in M a y is b a se d o n c o n tr a c ts o n f ile in th e B u r e a u ’s O ff ic e o f W a g e s an d I n d u s tr ia l R e la tio n s . T h e lis t in c lu d e s a g r e e m e n t s c o v e r in g 1 ,0 0 0 w o r k e r s or m ore. N um ber of In d u stry U n io n ' Associated General Contractors of America, Inc.: Detroit Chapter, 3 agreements (Michigan) ................................................ C o n s tru c tio n ................................ Detroit Chapter and 2 others (M ic h ig a n )................................................... Detroit Chapter and 1 other (M ich ig an )...................................................... C o n stru c tio n ................................ C o n s tru c tio n ................................ Detroit Chapter and 2 others (M ic h ig a n )................................................... Florida East Coast and Southern Florida Chapters ................................ Idaho Branch (In te rsta te )................................................................................. C o n stru c tio n ................................ C o n s tru c tio n ................................ C o n s tru c tio n ................................ Inland Empire Chapter, 3 agreements (Washington and I d a h o ) ........... C o n s tru c tio n ................................ Ohio State Building Chapter, 2 agreements (Ohio and Kentucky) . . . Oregon-Columbia Chapter (Oregon and W ash in g to n ).............................. Seattle and Tacoma C h a p te r s ......................................................................... Allied Employers, Inc. (W a sh in g to n )............. >■.................................................. American Enka Corp. (Enka, N .C . ) ...................................................................... C o n s tru c tio n ................................ C o n s tru c tio n ................................ C o n s tru c tio n ................................ Retail t r a d e ................................... C h e m ic a ls...................................... Operating Engineers; Carpenters; and Teamsters (Ind.) Bricklayers ................................................ Bricklayers; Plasterers; and Cement Masons Iron W o rk e rs .............................................. Operating Engineers ................................ Laborers; Cement Masons; Carpenters; Operating Engineers; and Teamsters (Ind.) Carpenters; Laborers; and Operating Engineers Laborers; and C arp en ters........................ L a b o r e r s ...................................................... Teamsters ( I n d .) ........................................ Food and Commercial Workers ........... Textile Workers ........................................ 4,400 25,000 1,200 1,700 1,500 Builders Association of Chicago (I llin o is )........................................................... Boston Edison Co. (M a ssac h u setts)...................................................................... C o n s tru c tio n ................................ Utilities ........................................ Bricklayers ................................................ Utility Workers ........................................ 3,300 1,900 Calumet Builders Association, 2 agreements (Indiana and Michigan) . . . . Champion International Corp., Champion Paper Division (Pasadena, Tex.) C o n stru c tio n ................................ Paper ............................................. Carpenters; and Iron Workers ............. P ap e rw o rk e rs.............................................. 3,850 1,250 Detroit Mason Contractors Association .............................................................. C o n s tru c tio n ................................ Bricklayers ................................................ 1,600 Eastbay M otor Car Dearlers, Inc. (C alifo rn ia)................................................... Retail t r a d e ................................... 1,200 Erwin Mills (Durham, N .C .) ................................................................................... T e x tile s........................................... Painters; Machinists; Automobile Salesmen; and Teamsters (Ind.) Textile Workers ........................................ G ardner-Denver Co. (Quincy, 111.)............................................................................. Gimbel Brothers, Inc. (Interstate) ........................................................................ R u b b e r........................................... Retail t r a d e ................................... 1,100 4,750 Great Lakes Fabricators and Erectors, 2 agreements (Interstate) ................ C o n stru c tio n ................................ M ac h in ists................................................... Retail, Wholesale, and Department Store Operating Engineers; and Iron Workers Houston Lighting and Power Co. (T e x a s )........................................................... Hudson Pulp and Paper Corp. (Plataka, F l a . ) ................................................... Utilities ........................................ P a p e r .............................................. Electrical Workers (IBEW) ................... P ap e rw o rk e rs.............................................. 3,300 1,350 Kaiser Aluminum and Chemical Corp. (In te rsta te )........................................... Kerr-M cGee Nuclear Corp. (Grants, N .M .) ...................................................... Kroehler M anufacturing Co. (In te rsta te ).............................................................. Primary metals ........................... C h em ica ls...................................... Furniture ...................................... Steelworkers .............................................. Oil, Chemical and Atomic Workers . . . Upholsterers .............................................. 10,000 1,100 1,900 Mechanical Contractors Association, 3 agreements (Interstate) ................... M etropolitan Detroit Plumbing and Mechanical Contractors Association, Inc. (Michigan) Michigan Road Builders Association (M ic h ig a n ).............................................. M otor Wheel Corp. (Lansing, M ic h .) ................................................................... C o n stru c tio n ........................ C o n stru c tio n ................................ P lu m b e rs ...................................................... P lu m b e rs ...................................................... 4,850 1,900 C o n s tru c tio n ................................ Transportation equipment . . . . Operating Engineers ................................ Allied Industrial Workers ..................... 4,500 2,600 C o n s tru c tio n ................................ C o n s tru c tio n ................................ C o n s tru c tio n ................................ C o n s tru c tio n ................................ C o n s tru c tio n ................................ Utilities ........................................ Utilities ........................................ Electrical Workers (IBEW) ................... Electrical Workers (IBEW) ................... Electrical Workers (IBEW) ................... Electrical Workers (IBEW) ................... Electrical Workers (IBEW) ................... Electrical Workers (IBEW) ................... Steelworkers .............................................. 3,500 2,300 1,250 7,300 1,300 7,300 3,500 E m p lo y e r a n d lo c a t i o n National Electrical C ontractors Association: Detroit Southern Michigan Chapter ........................................................... Milwaukee Chapter (W is c o n s in )................................................................... Puget Sound Chapter (W ash in g to n ).............................................................. St. Louis Chapter (Missouri) ........................................... ............................. Westchester-Fairfield Chapter (New Y o r k ) ................................................ Niagara Mohawk Corp. (New Y o r k ) ................................................................... Nothern Indiana Public Service Co. (Hammond, Ind.) ................................... w orkers 14,000 3,300 3,000 2,200 1,300 4,750 10,500 1,200 4,800 See footnotes at end of table. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 59 MONTHLY LABOR REVIEW April 1980 • Major Agreements Expiring Next Month Continued— Major Agreements Expiring N ext Month E m p lo y e r a n d l o c a t i o n N u m b er of U n io n 1 In d u str y w orkers Ohio Contractors Association ( O h io ) ................................................................... Omaha Building Contractors Employers Association (Nebraska) ................ Ormet Corp. (Hannibal, Ohio) .............................................................................. O utboard Marine Corp., Gale Products and 1 other (Galesburg, 111.) . . . . C o n stru c tio n ................................ C o n stru c tio n ................................ C a rp e n te rs ................................................... L a b o r e r s ...................................................... M achinery...................................... M ac h in ists................................................... 1,250 5,000 1,800 1,800 Painting and Decorating C ontractors of America, and 1 other (Washington) Panhandle Eastern Pipe Line Co. (Interstate) ................................................... Paris M anufacturing Co., Holley C arburetor Division (Paris, T e n n .) ........... Potlatch Corp., M aster Agreement ( I d a h o ) ......................................................... Public Service Electric and Gas Co. (New Jersey) ........................................... M achinery...................................... Utilities ........................................ M achinery...................................... Lumber ........................................ Utilities ........................................ P a in te rs ........................................................ Oil, Chemical and Atomic Workers . . . Auto Workers ( I n d .) ................................ W oodw orkers.............................................. Electrical W orkers (IBEW) ................... 1,500 1,150 1,200 2,400 4,100 Retail W orking Agreement (W ashington)2 ......................................................... Reynolds Metals Co., 2 agreements (I n te r s ta te )................................................ Robertshaw Controls Co., Controls Division (Long Beach, Calif.) ............. Retail t r a d e ................................... Primary metal .............................. In stru m e n ts................................... Food and Commercial Workers ........... Aluminum Workers; and Steelworkers . Auto W orkers ( I n d . ) ................................ 1,700 10,600 1,500 Sacramento and Vicinity Hotel, Restaurant and Tavern Owners Independent Agreement (California) San Francisco Electrical Contractors Association, Inc. (C a lifo rn ia)............. Sheet Metal and Air Conditioning Contractors Association of Milwaukee, Inc. (Wisconsin) Simpson Timber Co. (W ashington) ...................................................................... St. Joe Minerals Corp., Zinc Smelting Division (P ennsylvania)..................... Steel Fabricators Association of Southern California, Inc................................. Sundstrand Corp. (Rockford and Belvidere, 111.) .............................................. Hotels ........................................... Hotel and Restaurant .............................. 1,200 C o n s tru c tio n ................................ C o n stru c tio n ................................ Electrical Workers (IBEW) ................... Sheet Metal W o rk e rs ................................ 1,000 1,250 Lumber ........................................ Primary metals ........................... Fabricated metal products . . . . Transportation equipment . . . . W oodw orkers.............................................. Steelworkers .............................................. Iron W o rk e rs .............................................. Auto Workers ( I n d . ) ................................ 1,200 1,300 1,000 1,200 Tecumseh Products Co., Factory Agreement (Marion, O h io ) ........................ Texas International Airlines (Interstate)’ ........................................................... M achinery...................................... Auto Workers ( I n d . ) ................................ 1,750 1,000 Union Camp Corp. (Savannah, Ga.) P a p e r .............................................. P ap e rw o rk e rs.............................................. 1,600 Ventilating and Air Conditioning C ontractors’ Association and 1 other (Illinois) C o n s tru c tio n ................................ Sheet Metal W o rk e rs ................................ 4,500 Weyerhaeuser Co., 4 agreements (Washington and O re g o n )........................... Wheaton Industries, Production and M aintenance Department (Millville, N.J.) Wisconsin Power and Light Co. (Madison, W is .) .............................................. Lumber ........................................ W oodw orkers.............................................. Stone, clay and glass products . Glass Bottle B lo w ers................................ 7,850 2,000 Utilities ................... 1,500 Yellow Cab Co., and Checker Taxi Co., Inc. (Chicago, 111.)........................... T r a n s i t ........................................... S e a fa re rs ...................................................... 2,000 ................................................................... 'Affiliated with A F L -C IO except where noted as independent (Ind.). ’ Industry area (group of companies signing same contract). 60 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis ........................................ Electrical Workers (IBEW) ’Information is from newspaper reports. Developments in Industrial Relations AFL-CIO invites Teamsters to reaffiliate At its winter meeting, the Executive Council of the A FL-C IO affirmed its support of the revised anti-in flation program, extended an invitation to independent unions to join its ranks, and cleared the way for women to sit on its presently all-male council by lifting an eligi bility restriction. The anti-inflation program resulted from the 1979 na tional accord between the Carter Administration and organized labor. (See Monthly Labor Review, March 1980, p. 55.) The council stressed that if this voluntary program failed, it would press for mandatory controls on wages and prices. Prior to the national accord, which gave labor a greater voice in anti-inflation efforts, the A FL-C IO had opposed a voluntary plan, contend ing that it was more stringent for labor than business. The council established a committee to negotiate a possible reaffiliation of the Teamsters union, which was expelled from the A FL-C IO in 1957 on charges of cor ruption. Federation President Lane Kirkland, who heads the 5-member committee, said that he has already had some discussions with Teamsters President Frank Fitzsimmons on the matter and is satisfied that the Teamsters are “a bona fide trade union that has been working in the best interest of its members.” Committees were not created to negotiate with the Auto Workers and Mine Workers unions on affiliation, but Kirkland noted that both unions (and the Team sters) were now participating in weekly meetings on leg islative goals at the AFL-CIO. Auto Workers Presi dent Douglas Fraser said he favored reaffiliation and that negotiations might start after the union’s conven tion in June. The Auto Workers left the A FL-C IO in 1968, and the Mine Workers were never an affiliate. The council moved to open its ranks to women and minority group members by waiving the requirement that only presidents and secretary-treasurers of unions are eligible for membership. The all-male 35-member council currently has one black member, Frederick O’Neal, president of the Actors and Artistes union. The council has never had a female member. “Developments in Industrial Relations” is prepared by George Ruben and other members of the staff of the Division of Trends in Employee Compensation, Bureau of Labor Statistics, and is largely based on in formation from secondary sources. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis ^ at _Ln/' In other matters, the council decided to take a more active and direct role in organizing workers by establishing a unit to exchange information among af filiates on organizing tactics and techniques. Previously, the Federation generally limited its role to settling juris dictional disputes among member unions. The change apparently resulted from the council’s concern that unions represent a decreasing percentage of the Nation’s workforce, despite some growth in the absolute number of workers they represent. United States rejoining the ILO The United States announced it will rejoin the Inter national Labor Organization, ending a 2-year absence because “the organization had become increasingly antiAmerican and pro-Soviet.” (See Monthly Labor Review, December 1977, p. 2.) A Cabinet-level committee moni toring the organization found that a majority of ILO members “have successfully . . . returned the ILO to its original purposes.” The committee unanimously recom mended that the United States return to the organiza tion and work with other ILO members to ensure that the “true potential of the organization is realized.” The ILO was founded in 1919 to improve working conditions and labor standards and to promote human rights. Its members include representatives of labor, management, and government. Tobacco settlements Members of the Bakery, Confectionery and Tobacco Workers union approved 3-year wage and benefit con tracts with Philip Morris, Liggett & Myers, Inc., and the American Tobacco Co. The Philip Morris accord, which covered 8,500 work ers in Richmond, Va., and Louisville, Ky., was negoti ated according to the provisions of a 9-year “Long Term Agreement” (patterned after the Experimental Negotiating Agreement that controls bargaining in the steel industry) signed in May 1979. The Long Term Agreement prohibits strikes and lockouts; requires the company to give 18 months’ notice of plant closings; provides for binding arbitration of issues that arise in the wage and benefit bargaining to be conducted at 3-year intervals; guarantees that the wage increases to 61 MONTHLY LABOR REVIEW April 1980 • Developments in Industrial Relations be negotiated will be at least 3 percent a year; provides for quarterly wage escalator adjustments of 1 cent an hour for each 0.3-point movement in the BLS Consumer Price Index, with the escalator allowance to be automatically incorporated into base wage rates on February 1 of each year; provides for $300 bonus pay ments in May of each year; and makes a number of changes in the retirement plan, including a provision permitting an employee retiring at age 55 or later to re ceive the larger of a benefit computed according to the existing formula, or a benefit rate of $14 a month for each year of service for retirement from May 1979 through January 1980, $15 for retirement from Febru ary 1, 1980, through January 1981, and $16 for retire ment on February 1, 1981, or later. The agreement also established an Income Protection Program under which laid-off employees will continue to receive their pay for a period ranging from 13 weeks for those with 1 but less than 2 years service to 52 weeks for those with 20 years or more. Also, laid-off workers will receive an ad ditional week’s pay for each year of service. The 1980 Philip Morris “basic” agreement raised the 3-percent guaranteed minimum wage increases to 48 cents an hour on February 1, 1980, and 43 cents on February 1 of 1981 and 1982. There also were inequity adjustments for certain job classifications. The $1.34an-hour cost-of-living allowance was incorporated into base rates, and the parties calculated that employees will receive 68, 70, and 72 cents in escalator adjust ments in the respective contract years, based on as sumed CPI rises of 9, 8.5, and 8 percent. Other provisions include 4 weeks of paid vacation after 12 years of service (formerly 13), 5 weeks after 20 years (formerly- 22), 6 weeks after 29 years (formerly 30), and the addition of a seventh week after 34 years; a twelfth annual paid holiday; various improvements in insurance benefits, such as $50,000 major medical cov erage per individual (formerly $20,000), establishment of a vision care plan, with the company paying the full cost for employees and 75 percent for dependents, and sickness and accident benefits equal to 50 percent of base rate earnings up to $170 (formerly $115) a week. Liggett & Myers and the American Tobacco Co. did not negotiate Long Term Agreements in 1979, but the American Tobacco contract generally provided for the same wage and benefit terms—except for the Income Protection Plan—as the Philip Morris agreements. The Liggett & Myers accord differed in a number of areas. The wage terms consisted of an initial 48-cent in crease and 25 cents “cost of living payments” on July 1 of 1981 and 1982 and on October 1, 1982. There was no provision for automatic quarterly escalator adjust ments triggered by movement of the CPI. Also, there was no change in retirement benefits, paid holidays, or in the vacation schedule. 62 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Steel workers accept reduced incentive pay Employees of Wheeling-Pittsburgh Steel Corp.’s tube and sheet mill in Allenport, Pa., accepted a company proposal to reduce incentive pay over a 30-month peri od. The company said that the 10-step process would ultimately lower incentive earnings to a level “slightly above” the steel industry average. The plant has about 2,000 production and maintenance employees, 92 per cent of whom are eligible for incentive pay. Despite the concession, Wheeling-Pittsburgh did not guarantee Steelworkers Local 1187 that the plant would remain open. When Wheeling-Pittsburgh raised the issue in early December, it said that average incentive pay at the plant was 33 percent higher than at its competitors. The company also claimed that the competitors’ employees were more productive, despite their lower incentive pay. This development occurred shortly after plant clos ings and contract concessions involving 13,000 employ ees of United States Steel Corp. (See Monthly Labor Review, March 1980, p. 56.) In a later development on the U.S. Steel closings, Steelworkers’ locals in the Youngstown, Ohio, area filed suit in Federal District Court in Cleveland seeking to prevent the company from shutting down its McDonald Works in Youngstown. The locals contended that U.S. Steel had violated a verbal agreement to keep the works open as along as they were profitable and asked the court for access to the corporation’s financial records to prove that the plants are profitable. In another effort to avert the scheduled closing, the local unions were attempting to gain support for their proposal to purchase and modernize the mill. However, U.S. Steel said that it was dismantling the mill because it was obsolete. Also, doubts about the purchase plan were expressed by some members of the local industry development agency that is responsible for advising the U.S. Department of Commerce which projects should receive Federal loan guarantees. Airline cuts managerial salaries Trans World Airlines, which lost $56.4 million in the fourth quarter of 1979, cut the salaries of 800 manage ment employees earning $35,000 or more. President Ed Meyer said that while the cut won’t “save the airline,” it is an indication of the seriousness of the situation and also serves to emphasize “how much we need a turn around.” He indicated that during the last 12 months the airline reduced employment from 36,000 to 34,000 to curtail costs. The salaries will be restored to their original levels— retroactive to the date of the cut— when the airline operates at a profit over a 12-month period. Small oil refineries yield to union demands Four auto parts manufacturers settle Twelve small oil refineries settled with locals of the Oil, Chemical and Atomic Workers, but the union con tinued to strike the major oil companies and some other small refineries. The settlements covered about 1,700 workers out of the 60,000 that struck 100 companies when the parties were unable to reach agreement under a reopening provision of the contracts negotiated in 1979. The settlements— which met the revised demands of the union—generally provided for a total wage increase of 5 percent plus 55 cents an hour, but not less than a combined total of $1 an hour, retroactive to January 1980 (the 5-percent portion was already scheduled for January 1980 under the 1979 settlement); a $125-amonth employer payment for medical insurance for families and a lesser amount for single employees; and establishment of dental coverage financed by employer payments of $20 a month for families and a lesser amount for single employees. There also were improve ments in vacation benefits. At some companies, the new schedule provides for 5 weeks after 15 years of service, 6 weeks after 20 years, and 7 weeks after 25 years. Previously, the schedules generally provided for a maxi mum of 5 weeks of vacation after 20 years of service. The refineries that had not settled generally objected to the health insurance and dental plan proposals, con tending that they would be very costly, particularly be cause the companies would be required to assume any premium increases needed to maintain the uniform set of benefits specified in the union proposal. At its peak, the strike involved refineries processing about 70 percent of the Nation’s petroleum needs. However, the companies’ white-collar employees contin ued to maintain operations by working extended sched ules. According to the American Petroleum Institute, all U.S. refineries operated at 84.6 percent of capacity for the week that ended January 11; for the week that ended on January 25, output had declined to 80.5 per cent of capacity, the “lowest in a long time,” according to an official of the institute. There was some progress in the Auto Workers nego tiations with automobile parts manufacturers, as the union settled with four firms on contracts patterned af ter the 3-year General Motors Corp. contract. (See Monthly Labor Review, November 1979, pp. 58-59.) The accord with the Budd Co. ended a 2-week strike and covered 10,000 workers at seven plants in three States. The other agreements, reached without strikes, were with Rockwell International Corp.’s Automotive Group for 7,000 workers at 10 facilities in six States; with Champion Spark Plug Co. for 5,000 workers in three States and Canada; and with Kelsey-Hayes Co. for 1,500 workers in Michigan. The Kelsey-Hayes con tract provided for the permanent withholding of 26 cents from wage escalator adjustments, compared with 14 cents at General Motors. The union agreed to the larger diversion because of higher pension costs to Kelsey-Hayes resulting from a higher ratio of retired to active employees. The Auto Workers continued a strike against Interna tional Harvester Co. One of the major unresolved points was a company demand for more flexibility in mandating overtime work for employees to attain parity with Caterpillar Tractor Co. and Deere & Co., which had settled earlier. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Wood shavings— suspected carcinogen at GM General Motors Corp. will underwrite medical evalu ations and cancer tests for 1,800 wood-model makers. The Michigan Cancer Foundation, in a preliminary study of 1,073 employees who make wood models of cars, found 39 cases of cancer— a high rate, compared with 26 cases that could be expected in such a group. Robert Weincek, the company’s medical director, said the employees work with no known carcinogens, al though wood shavings are suspect. Some of the wood workers have asserted that the cancers resulted from exposure to chemicals. 63 Book Reviews A woman in a man’s job Frances Perkins: “That Woman in FDR's Cabinet/ ” By Lillian Holmen Mohr. Croton-on-Hudson, N.Y., North River Press, Inc., 1979. 328 pp., bibliogra phy. $14.95. This is a superb brief biography of Frances Perkins, first woman ever to be a member of a U.S. President’s Cabinet. “That woman in FDR’s Cabinet” served as Secretary of Labor for 12 years between 1933 and 1945. During the Great Depression of the 1930’s, when unem ployment was crucial, the role of the Secretary of Labor was particularly important. Madam Secretary faced problems not unlike those of today—job opportunities, job safety, and fair labor standards. Strikingly different, however, was the issue of deflation, for at that time the government reinflated the economy in order to drive up prices and wages. Frances Perkins was a great Secretary of Labor who made the Department a seed bed of so cial progress. She was a prime mover in winning social security for the elderly, unemployment insurance, aboli tion of oppressive child labor, minimum wage laws (25 cents an hour), the right to bargain collectively, and other progressive programs. Lillian Holmen Mohr writes well and in a popular style. To some extent, Mohr tells the story the same way that Frances Perkins would have told it. And Frances Perkins had a way with words. But, the rela tively simple language which makes the book interesting to an average reader should not hide the fact of very impressive research from a wide variety of sources. Frances Perkins hated being praised because she was a woman in what was then considered a man’s job. Of ten, when asked whether her sex made a difference, she replied, “only in climbing trees.” She preferred winning recognition on the basis of her work. She was an intelli gent and experienced person, well equipped for the posi tion of Secretary of Labor to which she had been appointed. Mohr does a good job in compressing Frances Per kins’ 85 years of life into less than 300 pages. Born Fannie Caralie Perkins on April 10, 1880, she went to Mount Holyoke College at a time that not many wom en went to college. She distinguished herself as a social worker, reformer, chairman of the Industrial Board in https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis New York State, and head of the State Labor Depart ment. Perhaps Mohr makes too much of Perkins’ activi ty in the cause of women’s rights and in consumer protection (or perhaps this reviewer is revealing his own prejudices). However, the several references to the dis tinguished Alice Hamilton, Charlotte Perkins Gilman, and other important women are fascinating. The book is relatively free of errors, though there are a few, such as calling Assistant Secretary of Labor Ed ward McGrady Under Secretary before such a post existed, and getting the date of the Homestead strike wrong on page 167 and right on page 240. In 1976, George Martin wrote a splendid biography: Madam Secretary: Frances Perkins. It is a much longer book. It was a major historical and biographical contri bution. Mohr’s new book is much shorter but equally interesting and useful. The small publishing house with no promotion and the $14.95 price are likely to deprive Mohr’s biography of the wide audience it deserves. Hopefully, some publisher will put out a reasonably priced paperback edition. — Jo n a t h a n G r o ssm a n Historian U.S. Department of Labor English for doctoral candidates A Popularized Version of 21 Doctoral Dissertations. (Pre pared by Lawrence R. Klein and Susan Ghozeil.) Washington, U.S. Department of Labor, Employ ment and Training Administration, 1979. 113 pp. (R&D Monograph 70.) $3.50, Superintendent of Documents, Washington 20402. The wall of Lawrence R. Klein’s office, while he was editor of this journal, bore this quotation attributed to H. G. Wells: “No passion in the world, no love or hate, is equal to the passion to alter someone else’s draft.” Klein practiced that passion for 22 years at the Monthly Labor Review. This little volume proves that his ardor has not cooled. The book is the third prepared by Klein, now ad junct professor of economics at the University of Arizo na, designed to make available to a broad audience findings from dissertations in the social and behavioral sciences. Over the past 15 years, the U.S. Department of La bor’s Employment and Training Administration has fi nancially supported more than 500 such dissertations, many of which, as Klein puts it, may result in a journal article or two, if the authors are lucky, “and then blush unseen and waste their substance in the desert air of a library, and perhaps become footnotes in somebody else’s dissertation.” Klein and Howard Rosen, director of research for the Employment and Training Adminis tration, were convinced that the years of work and thought that had gone into these dissertations could be useful to nonacademics if the documents could be trans lated into readable and understandable English. Klein’s first two efforts went part way in that direction, cutting the dissertations down to about 2,500 words, but leav ing in much of the original language. For the present volume, Klein and his coauthor, Susan Ghozeil, have rewritten 21 dissertations into relatively simple lan guage, without jargon and without mathematical equa tions. To get a sense of the kind of service the authors have rendered, contemplate this sentence from one of the dis sertations they considered for the book: Extrapolating from cross-sectional data, we infer that transformations in the clustering of roles occur during the careers of engineers and scientists, with progressively great er involvement in teaching in evidence as they move through the career sequence; increasingly less involvement in both basic and applied research; and increasingly greater likelihood of administrative, managerial, and supervisory duties occurring in the middle stages of the career. And the translation offered by the authors: As scientists and engineers get older, they are more likely to teach and less likely to do research, but their roles as su pervisors most often come in the middle stages of their ca reers. The 21 dissertations summarized in this volume include studies of job search, unemployment insurance, labor market segmentation, the dual labor market, con struction industry wages, the 4-day workweek, and stresses on and off the job. One of the topics that may be of particular interest at the moment is an economic analysis of conscription vs. all-volunteer armed forces in peacetime. Aside from an occasional penchant for an over-cute title or phrase, the authors do an excellent job of communicating the results of the Ph. D.s’ research. But the authors go beyond that, commenting critical ly on the state of the Ph. D. dissertation today. The quality of writing and the gradual abandonment of ver bal for mathematical symbols, they say, are but a symp tom of a larger problem with the dissertation and its potential usefulness. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis The doctoral thesis should be the capstone of formal aca demic training, the measure and very symbol of learning in a classical sense. It should be the mark of the broadly edu cated person. Yet the outstanding features are its narrow ness, its frequent purblind avoidance of interdisciplinary interest and lack of literary grace or niceties, its seeming disinterest in the relationship of theme to broad movements of history and social development. In short, it is barren of the philosophy that gives substance and grandeur to the symbol Ph.D. Has the title become a cliche, divorced from both meaning and significance, the shining ideal tarnished by the dross of specialization? Is today’s Ph.D .— let’s say in economics— truly educated or just a finely trained and sharply honed specialist-technician who is skilled in mathe matical statistics, regression analysis, and the accepted tru isms of the market? Ph. D. candidates and their advisers need to ponder these questions. They also should examine the good writing in this book and emulate it. — H en ry Lo w enstern Editor-in-Chief Monthly Labor Review Publications received Agriculture and natural resources Duncan, Marvin, “The Agricultural Outlook: Can Recent In come Gains Be Maintained?” Economic Review, Federal Reserve Bank of Kansas City, December 1979, pp. 1625. Verleger, Philip K., Jr., “The U.S. Petroleum Crisis of 1979,” Brookings Papers on Economic Activity, 2, 1979, pp. 46376. Williams, Craig L., “Soil Conservation and Water Pollution Control: The Muddy Record of the United States De partment of Agriculture,” Boston College Environmental Affairs Law Review, Vol. 7, No. 3, pp. 365-421. Economic and social statistics Clogg, Clifford C., Measuring Underemployment: Demographic Indicators for the United States. New York, Academic Press, Inc., 1979, 279 pp. $21.50. Hans, Brems, Inflation, Interest, and Growth: A Synthesis. Lex ington, Mass., D.C. Heath and Co., Lexington Books, 1980, 169 pp. $17.95. Levy, Robert, “Whatever Happened to Metrics?” Dun's Re view, January 1980, beginning on p. 48. National Commission on Employment and Unemployment Statistics, Counting the Labor Force: Readings in Labor Force Statistics, Appendix Vol. III. By Diane Werneke. Washington, National Commission on Employment and Unemployment Statistics, 1980, 396 pp. National Science Foundation, Science Indicators 1978: Report of the National Science Board, 1979. Washington, Nation al Science Foundation, National Science Board, 1979, 263 pp. Stock No. 038-000-00416-6. $6, Superintendent of Documents, Washington 20402. 65 MONTHLY LABOR REVIEW April 1980 • Book Reviews “The Metropolitan Statistical Area Classification,” Statistical Reporter, December 1979, pp. 33-45. Yugoslavia, Federal Statistical Office, Statistical Pocket-Book of Yugoslavia, 1979. 25th ed. Belgrade, Yugoslavia, Fed eral Statistical Office, 1979, 255 pp. Economic growth and development Hicks, John, Causality in Economics. New York, Basic Books, Inc., Publishers, 1979, 124 pp. $8.95. Kamrany, Nake M. and Richard H. Day, eds., Economic Is sues of the Eighties. Baltimore, The Johns Hopkins Uni versity Press, 1979, 286 pp. $20, cloth; $6.95, paper. Kozlowski, Paul J. with Phyllis R. Buskirk, Business Condi tions in Michigan Metropolitan Areas. Kalamazoo, Mich., The W. E. Upjohn Institute for Employment Research, 1979, 182 pp. $4.50, paper. Liu, Ben-Chieh, “ Economic Growth and Quality of Life: A Comparative Indicator Analysis Between China (Taiwan), U.S.A. and Other Developed Countries,” The American Journal of Economics and Sociology, January 1980, pp. 1 - Friedman, Milton, “Problems of Cross-Examination in Labor Arbitration,” The Arbitration Journal, December 1979, pp. 6-11. Heintz, Duane H., “ Medical Malpractice Arbitration: A Via ble Alternative,” The Arbitration Journal, December 1979, pp. 12-18. Leap, Terry and Irving Kovarsky, “The Age Discrimination in Employment Act and the Vocational Rehabilitation Act: A Proposed Consolidation,” Labor Law Journal, January 1980, pp. 13-26. Martin, Benjamin and Everett M. Kassalow, eds., Labor Rela tions in Advanced Industrial Societies: Issues and Prob lems. Washington, Carnegie Endowment for International Peace, 1980, 206 pp. $10. Marshall, F. Ray, Allan G. King, Vernon M. Briggs, Jr., La bor Economics: Wages, Employment, and Trade Unionism. 4th ed. Homewood, 111., Richard D. Irwin, Inc., 1980, 594 pp. $18.95. “ Methodology in Economics Symposium Issue: Part I,” Jour nal of Economic Issues, December 1979, pp. 869-1037. Mitchell, Daniel, J. B. and John Clapp, Legal Constraints on Teenage Employment: A New Look at Child Labor and School Leaving Laws. Los Angeles, University of Califor nia, Institute of Industrial Relations, 1979, 197 pp. (Monograph Series, 22.) $7.50, paper. Nolting, Louvan E. and Murray Feshbach, “ R&D Employ ment in the U.S.S.R.,” Science, Feb. 1, 1980, pp. 4 9 3 503. Moynihan, Daniel Patrick, “What Do You Do When the Su preme Court Is Wrong?” The Public Interest, Fall 1979, pp. 3-24. Education Samoff, Bernard, “ NLRB Priority and Injunctions for Dis criminatory Discharges,” Labor Law Journal, January 1980, pp. 54-61. 21 . Carnegie Council on Policy Studies in Higher Education, Edu cation and Youth Employment in Belgium, by Henri Janne (112 pp.); Education and Youth Employment in the Federal Republic of Germany, By Klaus von Dohnanyi (102 pp.); Education and Youth Employment in Great Britain, by Stuart M adure (145 pp.); Education and Youth Employment in Japan, by Hidetoshi Kato (70 pp.); Education and Youth Employment in Less Developed Countries: Mexico, by Alberto Hernandez Medina and Carlos Muñoz Izquierdo; South Asia, by Manzoor Ahmed (115 pp.); Education and Youth Employment in Poland, by Barbara Liberska (83 pp.); Youth Education and Un employment Problems: An International Perspective, by Margaret S. Gordon with a chapter by Martin Trow. Berkeley, Calif., Carnegie Council on Policy Studies in Higher Education. 1979. Copies are available from Mar garet S. Gordon, Institute of Industrial Relations, Uni versity of California, Berkeley, Calif., 94720. $1 per book for shipping costs. Great Britain, Department of Employment Gazette, “ Educa tion and Training in the 80s: A Personal View,” by Ron Johnson, Employment Gazette, November 1979, pp. 1093 -96. Industrial relations American Enterprise Institute for Public Policy Research, Pro posals to Revise the Lobbying Law. Washington, American Enterprise Institute for Public Policy Research, 1980, 52 pp. (AEI Legislative Analysis, 11, 96th Cong., 2d sess.) Bennett, James T. and Manuel H. Johnson, Pushbutton Union ism. Fairfax, Va., George Mason University, Contempo rary Economics and Business Association, 1980, 26 pp. 66 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Servais, Jean Michel, Inviolability of Trade Union Premises and Communications. Geneva, International Labor Orga nization, 1980, 42 pp. Distributed in the United States by Washington Branch of ILO. Shawe, Earle K., “Preparation of the Arbitration Hearing,” Labor Law Journal, January 1980, pp. 46-53. The Japan Institute of Labor, Labor and the Economy Illus trated. Tokyo, The Japan Institute of Labor, 1980, 28 pp. (Japanese Industrial Relations Series, 4.) Industry and government organization American Enterprise Institute for Public Policy Research, Telecommunications Law Reform. Washington, 1980, 64 pp. (AEI Legislative Analysis, 12, 96th Cong., 2d sess.) Economic Council of Canada, Responsible Regulation: An In terim Report by the Economic Council of Canada; Synopsis and Recommendations from Responsible Regulation. Hull, Quebec, Economic Council of Canada, 1979, 127 and 33 pp. $7.25, each, Canada; $8.70, each, other countries. Available from Canadian Government Publishing Center, Supply and Services Canada, Hull, Quebec. Green, Mark and others, The Case for a Corporate Democracy Act of 1980. Washington, Americans Concerned About Corporate Power, 1979, 127 pp., bibliography. Mashaw, Jerry L., “ Regulation, Logic, and Ideology,” Regu lation, November-December 1979, pp. 44-51. Shenefield, John H., “Government Enterprise— A New Fron tier for Regulatory Reformers,” Regulation, NovemberDecember 1979, pp. 16-18. International economics Coldrick, A. P. and Philip Jones, T h e I n te rn a tio n a l D ire c to ry o f th e T ra d e U nion M o v e m e n t: A C o m p reh en sive G u id e to T ra d e Union C o n d itio n s a n d I n d u s tr ia l R e la tio n s in E ach C o u n try. New York, Facts on File, Inc., 1979, 1,365 pp. $55. Danzig, Selig M., “What We Need to Know About Perfor mance Appraisals,” M a n a g e m e n t R eview , February 1980, pp. 20-24. Fragner, Berwyn N., “Affirmative Action Through Hiring and Promotion: How Fast a Rate?” P ersonn el, November-December 1979, pp. 67-71. Destier, I. M., M a k in g F oreign E c o n o m ic P olicy. Washington, The Brookings Institution, 1980, 244 pp. $11.95, cloth; $4.95, paper. Gandz, Jeffrey, “ Resolving Conflict: A Guide for the Industri al Relations Manager,” P ersonn el, November-December 1979, pp. 22-32. Haendel, Dan, F oreign I n v e stm e n ts a n d th e M a n a g e m e n t o f P o litic a l R isk . Boulder, Colo., Westview Press, 1979, 206 pp. $18.50. Genua, Robert L., T he E m p lo y e r's G u id e to In terview in g : S tra te g y a n d T a ctics f o r P ic k in g a W inner. Englewood Cliffs, N.J., Prentice-Hall, Inc., 1979, 180 pp. Martin, Benjamin and Everett M. Kassalow, eds., L a b o r R e la Ginsburg, Sigmund G., “The Business Executive in Govern ment: Look Before You Leap,” M a n a g e m e n t R eview , February 1980, pp. 64-66. tio n s in A d v a n c e d I n d u s tr ia l S ocieties: Issu es a n d P ro b lem s. Washington, Carnegie Endowment for International Peace, 1980, 206 pp. “The Middle East, 1980,” C u rre n t H isto ry, January 1980, pp. 1-41. U.S. Bureau of International Labor Affairs, C o u n try L a b o r P rofile: F rance. By Thomas D. Bowie. Washington, U.S. Department of Labor, Bureau of International Labor Af fairs, 1979, 8 pp. 60 cents, Superintendent of Documents, Washington 20402. ------ — C o u n try L a b o r P rofile: Tunisia. By Burnie Merson. Washington, U.S. Department of Labor, Bureau of Inter national Labor Affairs, 1980, 6 pp. 60 cents, Superinten dent of Documents, Washington 20402. Labor and economic history “ Fortune’s Fiftieth Anniversary Issue: The Best as Prologue— A Fabulous 50 Years; The Depression; The War; Postwar Prosperity; New Strains on the System: A Time of Test ing,” F ortune, Feb. 11, 1980, 248 pp. Rodgers, Daniel T., The W ork E th ic in I n d u s tr ia l A m erica , 1 8 5 0 - 1 9 2 0 . Chicago, The University of Chicago Press, 1979, 300 pp. $5.95, paper. Labor force Korns, Alexander, “The Difference Between the Payroll and Household Measures of Employment, 1975-79,” S u rv ey o f C u rre n t B usiness, December 1979, pp. 45-49. Glover, Robert W. and others, S te p p in g Up: P la c in g M in o r ity W om en in to M a n a g e r ia l a n d P ro fessio n a l Jobs. Salt Lake City, Utah, Olympus Publishing Co., 1979, 105 pp., bibli ography. Greenlaw, Paul S. and Diana L. Foderaro, “Some Further Im plications of the Pregnancy Discrimination A ct,” P e r so n n e l Jou rn al, January 1980, pp. 36-43. Halcomb, Ruth, “Mentors and the Successful Woman,” A cro ss th e B oard, February 1980, pp. 13-18. Hanan, Mack, F a st-G ro w th M a n a g e m e n t: H o w to Im p ro v e P ro fits w ith E n tre p re n e u ria l S trategies. New York, AMACOM, A division of American Management Asso ciations, 1979, 145 pp. $14.95. Hunsaker, Philip L., “Organizational Growth: The Implica tions for Human Resources,” P ersonn el, NovemberDecember 1979, pp. 12-21. Lynch, Dudley, “The Case for Disorderly Conduct: How to Get the Most Out of Managerial Brainpower,” M a n a g e m e n t R eview , February 1980, pp. 14-19. Perham, John, “Top Management Views the 1980s,” D u n 's R eview , January 1980, beginning on p. 68. Schick, Melvin E., “The ‘Refined’ Performance Evaluation Monitoring System: Best of Both Worlds,” P erso n n el Jou rn al, January 1980, pp. 47-50. Lloyd, Cynthia B. and Beth T. Niemi, T h e E co n o m ics o f S e x D ifferen tia ls. New York, Columbia University Press, 1979, 355 pp., bibliography. $16.50. Smith, Martin R., Q u alitysen se: O rg a n iza tio n a l A p p ro a ch es to Im p ro v in g P ro d u c t Q u a lity a n d Service. New York, AMACOM, A Division of American Management Asso ciations, 1979, 194 pp. $16.95. Maurer, Harry, N o t W orkin g: A n O r a l H is to r y o f th e U n em p lo ye d . New York, Holt, Rinehart and Winston, 1980, 297 pp. $12.95. Szilagyi, Andrew D., “ Keeping Employee Turnover Under Control,” P ersonn el, November-December 1979, pp. 4 2 52. Management and organization theory Baron, Alma S., “Communication Skills for the Woman Man ager— A Practice Seminar,” P erso n n el Jou rn al, January 1980, pp. 55-58. Berenbeim, Ronald, N on u n ion C o m p la in t S y ste m s: A C o rporate A p p ra isa l. New York, The Conference Board, Inc., 1980, 50 pp., bibliography. (Conference Board Report, 770.) $5, members; $15, nonmembers. Budde, James F., M e a su rin g P erfo rm a n c e in H u m a n S ervice S y ste m s: P lan n in g, O rg a n iza tio n a n d C ontrol. New York, AMACOM, A division of American Management Asso ciations, 1979, 207 pp., bibliography. $14.95. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Thierauf, Robert J., M a n a g e m e n t A u d itin g : A Q u estio n n a ire A pproach . New York, AMACOM, A division of Ameri can Management Associations, 1980, 239 pp., bibliogra phy. $19.95. Toedtman, James C , “A Decade of Rapid Change: The Outlook for Human Resources Management in the ’80s,” P erso n n el Jou rn al, January 1980, pp. 29-35. Monetary and fiscal policy Brownlee, Oswald H., T a x in g th e I n c o m e f r o m U.S. C o rp o ra tion I n v e stm e n ts A b ro a d . Washington, American Enter prise Institute for Public Policy Research, 1979, 34 pp., bibliography. (AEI Studies, 264.) $3.25, paper. 67 MONTHLY LABOR REVIEW April 1980 • Book Reviews Cacy, J. A. and Glenn H. Miller, Jr., “ Review and Outlook: A New Approach to Solving Old Problems,” Economic Review, Federal Reserve Bank of Kansas City, December 1979, pp. 3-15. Chamot, Dennis and Joan M. Baggett, eds., Silicon, Satellites and Robots: The Impacts of Technological Change on the Workplace. Washington, Department for Professional Employees, A F L -C IO , 1979, 52 pp. Courchene, T. J., P. Fortin, G. R. Sparks, and W. R. White, “ Monetary Policy in Canada: A Symposium,” The Cana dian Journal of Economics, November 1979, pp. 590646. Clark, Peter K., “Issues in the Analysis of Capital Formation and Productivity G rowth,” Brookings Papers on Economic Activity, 2, 1979, pp. 423-45. Froyen, Richard, “Systematic Monetary Policy and Short-run Real Income Determination,” Journal of Economics and Business, Fall 1979, pp. 14-22. Gambs, Carl M., “Federal Reserve Intermediate Targets: Money or the Monetary Base?” Economic Review, Feder al Reserve Bank of Kansas City, January 1980, pp. 3-15. Guffey, Roger, “Conduct of U.S. Monetary Policy: Recent Problems and Issues,” Economic Review, Federal Reserve Bank of Kansas City, December 1979, pp. 26-29. Hettich, Walter, “A theory of partial tax reform,” The Cana dian Journal of Economics, November 1979, pp. 692712. Jaffee, Dwight M. and Kenneth T. Rosen, “Mortgage Credit Availability and Residential Construction,” Brookings Pa pers on Economic Activity, 2, 1979, pp. 333-86. Pechman, Joseph A., ed., What Should Be Taxed: Income or Expenditure? Washington, The Brookings Institution, 1980, 332 pp. $14.95, cloth; $5.95, paper. Rymes, T. K., “Money, efficiency, and knowledge,” The Ca nadian Journal of Economics, November 1979, pp. 575— 89. Ture, Norman B., “The Value Added Tax: Fact& and Fan cies,” Management Review, February 1980, pp. 8-13. Gordon, Robert J., “The ‘End-of-Expansion’ Phenomenon in Short-Run Productivity Behavior,” Brookings Papers on Economic Activity, 2, 1979, pp. 447-61. Norsworthy, J. R., Michael J. Harper, Kent Kunze, “The Slowdown in Productivity Growth: Analysis of Some Contributing Factors,” Brookings Papers on Economic Ac tivity, 2, 1979, pp. 387-421. Social institutions and social change Binkin, Martin and Irene Kyriakopoulos, Youth or Experi ence? Manning the Modern Military. Washington, The Brookings Institution, 1979, 84 pp. $2.95, paper. Sowell, Thomas, Knowledge and Decisions. New York, Basic Books, Inc., 1980, 422 pp. $18.50. Toby, Jackson, “Crime in American Public Schools,” The Public Interest, Winter 1980, pp. 18-42. Welfare programs and social insurance Keyfitz, Nathan, “Why Social Security is in Trouble,” The Public Interest, Winter 1980, pp. 102-19. “Pension Plan Financial Management in Today’s W orld,” Hay Huggins Bulletin, January 1980, 4 pp. “Pension Plan Termination: Quo Vadis?” Pension World, De cember 1979, pp. 64-65. Prices and living conditions “Sixth Annual Survey of State Retirement Systems,” Pension World, November 1979, pp. 57-63. Dewald, William G., “Fast vs. Gradual Policies for Control ling Inflation,” Economic Review, Federal Reserve Bank of Kansas City, January 1980, pp. 16-25. Taft, Julia Vadala, David S. North, David A. Ford, Refugee Resettlement in the U.S.: Time for a New Focus. Washing ton, New TransCentury Foundation, 1979, 222 pp. Hershman, Arlene, “Why Recessions Don’t Cure Inflation,” Dun's Review, January 1980, beginning on p. 56. Worker training and development Productivity and technological change Mirengoff, William and others, CETA: Assessment of Public Service Employment Programs. Washington, National Academy of Sciences, National Research Council, Com mittee on Evaluation of Employment and Training Pro grams, 1980, 197 pp. Barks, Joseph V., “Getting a Big Payback from Those You Pay,” Iron Age, Jan. 28, 1980, pp. 28-31. (Reprint 3456.) Single copy, free; additional copies, 50 cents. The National Urban Coalition, Understanding CETA: A Community Guide. Washington, The National Urban Co alition, 1979, 32 pp. Mayer, Henry C. and Edward J. O’Boyle, “Inflation: A Moral and Economic Erosive,” The Louisiana Economy, Louisi ana Tech University, Vol. XIII, No. 1, 1979, pp. 1-8. 68 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Current Labor Statistics Notes on Current Labor Statistics .................................................................................................................................... Schedule of release dates for major BLS statistical series .......................................................................... Employment data from household survey. Definitions and notes 1. 2. 3. 4. 5. 6. 7. Employment status of noninstitutional population, selected years, 1950-79 ................................................................ Employment status by sex, age, and race, seasonally adjusted ........................................................................................ Selected employment indicators, seasonally adjusted ....................................................................................................... Selected unemployment indicators, seasonally adjusted ..................................................................................................... Unemployment rates, by sex and age, seasonally adjusted ............................................................................................... Unemployed persons, by reason for unemployment, seasonally adjusted ..................................................................... Duration of unemployment, seasonally adjusted ............................................................................................................... Employment, hours, and earnings data from establishment surveys. Definitions and notes 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. Employment by industry, 1950-79 ....................................................................................................................................... Employment by State ....................................................................................................... Employment by industry division and major manufacturing group ................................................................................ Employment by industry division and major manufacturing group, seasonally adjusted ........................................ Labor turnover rates in manufacturing, 1976 to date ......................................................................................................... Labor turnover rates in manufacturing, by major industry group ................................................................................... Hours and earnings, by industry division, 1948-79 .......................................................................................................... Weekly hours, by industry division and major manufacturing g r o u p ........................................................ Weekly hours, by industry division and major manufacturing group, seasonally adjusted ...................................... Hourly earnings, by industry division and major manufacturing group ........................................................................ Hourly Earnings Index, by industry division ....................................................................................................................... Weekly earnings, by industry division and major manufacturing group ........................................................................ Gross and spendable weekly earnings in current and 1967 dollars, 1960 to date ........................................................ Unemployment insurance data. Definitions and notes 71 71 72 73 74 75 75 75 76 77 77 78 79 80 80 81 82 83 84 84 85 86 87 87 .......................................................................................................................................... Consumer Price Indexes, 1967-79 ..........................., ............................................................................ ............................. Consumer Price Index, U.S. city average, general summary and selected items ........................................................... Consumer Price Index, cross classification of region and population size class ........................................................... Consumer Price Index, selected areas .................................................................................................................................... Producer Price Indexes, by stage of processing .................................................................................................................. Producer Price Indexes, by commodity grouping ............................................................................................................... Producer Price Indexes, for special commodity groupings ................................................................................................ Producer Price Indexes, by durability of product ............................................................................................................... Price indexes for the output of selected SIC industries ..................................................................................................... 88 89 89 95 96 97 98 100 100 100 Price data. Definitions and notes Productivity data. Definitions and notes 31. 32. 33. 34. 70 ....................................................................................... ........................................................................................ 21. Unemployment insurance and employment service operations 22. 23. 24. 25. 26. 27. 28. 29. 30. 70 Indexes Annual Indexes Percent ....................................................................................................................... of productivity and related data, 1950-79 percent change in productivity and related data, 1969-79 ................................................................................ of productivity, hourly compensation, and unit costs ........................................................................................ change in productivity, hourly compensation, and unit costs .......................................................................... Labor-management data. Definitions and notes 35. Wage and benefit settlements in major collective bargaining units ................................................................................ 36. Effective wage rate adjustments going into effect in major collective bargaining units ............................................. 37. Work stoppages, 1947 to date ............................................................................................................................................... https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 103 103 104 104 105 106 106 107 107 69 NOTES ON CURRENT LABOR STATISTICS This section of the R e view presents the principal statistical se ries collected and calculated by the Bureau of Labor Statistics. A brief introduction to each group of tables provides defi nitions, notes on the data, sources, and other material usually found in footnotes. Readers who need additional information are invited to consult the BLS regional offices listed on the inside front cov er of this issue of the R eview . Some general notes applicable to several series are given below. S e a s o n a l a d ju stm e n t. Certain monthly and quarterly data are adjusted to eliminate the effect of such factors as climatic conditions, industry production schedules, opening and closing of schools, holiday buyiog periods, and vacation practices, which might otherwise mask short term movements of the statistical series. Tables containing these data are identified as “seasonally adjusted.” Seasonal effects are estimated on the basis of past experience. When new seasonal factors are com puted each year, revisions may affect seasonally adjusted data for sev eral preceding years. For a technical discussion of the method used to make seasonal adjustments, see “Appendix A. The BLS Seasonal Fac tor Method,” B L S H a n d b o o k o f M e th o d s f o r S u r v e y s a n d S tu d ie s, Bul letin 1910 (Bureau of Labor Statistics, 1976), pp. 272-78, and X - l l V a ria n t o f th e C en su s M e th o d 11 S e a s o n a l A d ju s tm e n t P ro g ra m , Techni cal Paper No. 15 (Bureau of the Census, 1967). Seasonally adjusted la bor force data in tables 2 - 7 were last revised in the February 1980 is sue of the R e v ie w to reflect the preceding year’s experience. Beginning in January 1980, the BLS introduced two major modifications in the seasonal adjustment methodology for labor force data. First, the data are being seasonally adjusted with a new procedure called X - l l / ARIMA, which was developed at Statistics Canada as an extension of the standard X -ll method. A detailed description of the procedure appears in T h e X - l l A R I M A S e a s o n a l A d ju s tm e n t M e th o d by Estela Bee Dagum (Statistics Canada Catalogue No. 12-564E, September 1979). The second change is that seasonal factors are now being calculated for use during the first 6 months of the year, rather than for the entire year, and then are calculated at mid-year for the July-December peri od. Revisions of historical data continue to be made only at the end of each calendar year. Annual revision of the seasonally adjusted payroll data in tables 11, 13, 16, and 18 was last introduced in the November 1979 issue of the R eview . New seasonal factors for productivity data in tables 33 and 34 are usually introduced in the September issue. Sea sonally adjusted indexes and percent changes from month to month and from quarter to quarter are published for numerous Consumer and Producer Price Index series. However, seasonally adjusted indexes are not published for the U.S. average All Items CPI. Only seasonally adjusted percent changes are available for this series. A d ju s t m e n ts fo r p r ic e c h a n g e s . Some data are adjusted to eliminate the effect of changes in price. These adjustments are made by dividing current dollar values by the Consumer Price Index or the appropriate component of the index, then multiplying by 100. For example, given a current hourly wage rate of $3 and a current price index number of 150, where 1967 = 100, the hourly rate expressed in 1967 dollars is $2 ($3/150 X 100 = $2). The resulting values are described as “real,” “constant,” or “ 1967” dollars. Data that supplement the tables in this section are published by the Bureau of Labor Statistics in a variety of sources. Press releases provide the latest statistical information published by the Bureau; the major recurring releases are published according to the schedule given below. The H a n d b o o k o f L a b o r S ta tis tic s 1978, Bulletin 2000, provides more detailed data and greater his torical coverage for most of the statistical series presented in the M o n th ly L a b o r R ev ie w . More information from the household and es tablishment surveys is provided in E m p lo y m e n t a n d E a rn in g s, a monthly publication of the Bureau, and in two comprehensive data books issued annually— E m p lo y m e n t a n d E a rn in g s, U n ite d S ta te s and E m p lo y m e n t a n d E a rn in g s, S ta te s a n d A rea s. More detailed informa tion on wages and other aspects of collective bargaining appears in the monthly periodical, C u r r e n t W a g e D e ve lo p m e n ts . More detailed price information is published each month in the periodicals, the C P I D e ta ile d R e p o r t and P r o d u c e r P ric e s a n d P r ic e In d e x es. A v a ila b ilit y o f in fo r m a tio n . Symbols p = preliminary. To improve the timeliness of some series, preliminary figures are issued based on representative but incomplete returns. r = revised. Generally this revision reflects the availability of later data but may also reflect other adjustments, n.e.c. = not elsewhere classified. Schedule of release dates for major BLS statistical series Title and frequency (monthly except where indicated) Employment situation...................................... ........................... Producer Price Indexes................................................................ Consumer Price Index ................................................................ Real earnings ............................................................................ Major collective bargaining settlements (quarterly) ........................ Productivity and costs (quarterly): Nonfarm business and manufacturing ...................................... Nonfinancial corporations ........................................................ Work stoppages.......................................................................... Labor turnover in manufacturing .................................................. 70 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Release date Period covered April 4 April 4 April 22 April 22 April 25 March March March March 1st quarter April 25 1st quarter April 29 April 30 March March Release date Period covered May 2 May 9 May 23 May 23 April April April April May 28 May 28 May 30 1st quarter April April MLR table number 1-11 26-30 22-25 14-20 35-36 31-34 31-34 37 12-13 EMPLOYMENT DATA FROM THE HOUSEHOLD SURVEY E m p l o y m e n t d a t a in this section are obtained from the Current Population Survey, a program of personal interviews conducted monthly by the Bureau of the Census for the Bureau of Labor Statistics. The sample consists of about 65,000 households beginning in January 1980, selected to represent the U.S. population 16 years of age and older. Households are interviewed on a rotating basis, so that three-fourths of the sample is the same for any 2 consecutive months. those not classified as employed or unemployed; this group includes persons retired, those engaged in their own housework, those not working while attending school, those unable to work because of longterm illness, those discouraged from seeking work because of personal or job market factors, and those who are voluntarily idle. The n o n in stitH tio n a l p o p u la tio n comprises all persons 16 years of age and older who are not inmates of penal or mental institutions, sanitariums, or homes for the aged, infirm, or needy. are those employed at least 35 hours a week; are those who work fewer hours. Workers on parttime schedules for economic reasons (such as slack work, terminating or starting a job during the week, material shortages, or inability to find full-time work) are among those counted as being on full-time status, under the assumption that they would be working full time if conditions permitted. The survey classifies unemployed persons in full-time or part-time status by their reported preferences for full-time or part-time work. F u ll-t im e w o r k e r s p a r t-tim e w o r k e r s Definitions E m p lo y e d p e r so n s are (1 ) those who worked for pay any time during the week which includes the 12th day of the month or who worked unpaid for 15 hours or more in a family-operated enterprise and (2) those who were temporarily absent from their regular jobs because of illness, vacation, industrial dispute, or similar reasons. A person working at more than one job is counted only in the job at which he or she worked the greatest number of hours. U n e m p lo y e d p e r so n s are those who did not work during the survey week, but were available for work except for temporary illness and had looked for jobs within the preceding 4 weeks. Persons who did not look for work because they were on layoff or waiting to start new jobs within the next 30 days are also counted among the unemployed. The u n e m p lo y m e n t r a te represents the number unemployed as a percent of the civilian labor force. The c iv ilia n la b o r fo r c e consists of all employed or unemployed persons in the civilian noninstitutional population; the to ta l la b o r fo r c e includes military personnel. Persons n o t in th e la b o r fo r c e are 1. Notes on the data From time to time, and especially after a decennial census, adjustments are made in the Current Population Survey figures to correct for estimating errors during the preceding years. These adjustments affect the comparability of historical data presented in table 1. A description of these adjustments and their effect on the various data series appear in the Explanatory Notes of E m p lo y m e n t a n d E a rn in g s. Data in tables 2 - 7 are seasonally adjusted, based on the seasonal experience through December 1979. Employment status of the noninstitutional population, 16 years and over, selected years, 1950-79 [Numbers in thousands] Total labor force Year Total non institutional population Civilian labor force Employed Number Percent of population Total Total Unemployed Agriculture Nonagricultural industries Number Percent of labor force Not in labor force 1950 1955 1960 1964 1965 .................................................. .............................................. .......................................... ...................................... .......................................................... 106.645 112.732 119,759 127,224 129,236 63,858 68,072 72,142 75,830 77,178 59.9 60.4 60.2 59.6 59.7 62,208 65,023 69,628 73,091 74,455 58,918 62,170 65,778 69,305 71,088 7,160 6,450 5,458 4,523 4,361 51,758 55,722 60,318 64,782 66,726 3,288 2,852 3,852 3,786 3,366 5.3 4.4 5.5 5.2 4.5 42,787 44,660 47,617 51,394 52,058 1966 1967 1968 1969. 1970 .............................................. .............................................. ...................................................... .................................................. .......................................... 131,180 133,319 135,562 137,841 140,182 78,893 80,793 82,272 84,240 85,903 60.1 60.6 60.7 61,1 61.3 75,770 77,347 78,737 80,734 82,715 72,895 74,372 75,920 77,902 78,627 3,979 3,844 3,817 3,606 3,462 68,915 70,527 72,103 74,296 75,165 2,875 2,975 2,817 2,832 4,088 3.8 3.8 3.6 3.5 4.9 52,288 52,527 53,291 53,602 54,280 1971 1972 1973 1974 1975 .......................................... ............................................................ ............................................................ ...................................... ............................................................ 142,596 145,775 148,263 150,827 153,449 86,929 88,991 91,040 93,240 94,793 61.0 61.0 61.4 61.8 61.8 84,113 86,542 88,714 91,011 92,613 79,120 81,702 84,409 83,935 84,783 3,387 3,472 3,452 3,492 3,380 75,732 78,230 80,957 82,443 81,403 4,993 4,840 4,304 5,076 7,830 5.9 5.6 4.9 5.6 8.5 55,666 56,785 57,222 57,587 58,655 1976 1977 1978 1979 ............................................................ ...................................................... .................................................... ............................................................ 156,048 158,559 161,058 163,620 96,917 99,534 102,537 104,996 62,1 62.8 63.7 64.2 94,773 97,401 100,420 102,908 87,485 90,546 94,373 96,945 3,297 3,244 3,342 3,297 84,188 87,302 91,031 93,648 7,288 6,855 6,047 5,963 7.7 7.0 6.0 5.8 59,130 59,025 58,521 58,623 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 71 M O N T H L Y L A B O R R E V IE W A pril 1980 • C u r r e n t L a b o r S t a t is ti c s : H o u s e h o l d D a t a 2. Employment status by sex, age, and race, seasonally adjusted [Numbers in thousands] 1980 1979 Annual Average Employment status Jan. Feb. r 1978 1979 Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. 161,058 102,537 158,941 100,420 94,373 3,342 91,031 6.047 6.0 58,521 163,620 104,996 161,532 102,908 96,945 3,297 93,648 5,963 5.8 58,623 162,633 104,473 160,539 102,379 96,496 3,307 93,189 5,883 5.7 58,160 162,909 104,595 160,819 102,505 96,623 3,320 93,303 5,882 5.7 58,314 163,008 104,280 160,926 102,198 96,254 3,215 93,039 5,944 5.8 58,728 163,260 104,476 161,182 102,398 96,495 3,246 93,249 5,903 5.8 58,784 163,469 104,552 161,393 102,476 96,652 3,243 93,409 5,824 5.7 58,917 163,685 105,475 161,604 103,093 97,184 3,267 93,917 5,909 5.7 58,511 163,891 105,218 161,801 103,128 97,004 3,315 93,689 6,124 5.9 58,673 164,106 105,586 162,013 103,494 97,504 3.364 94,140 5,990 5.8 58,519 164,468 105,688 162,375 103,595 97,474 3,294 94,180 6,121 5.9 58,780 164,682 105,744 162,589 103,652 97,608 3,385 94,223 6,044 5.8 58,937 164,898 106,088 162,809 103,999 97,912 3,359 94,553 6,087 5.9 58,810 165,101 106,310 163,020 104,229 97,804 3,270 94,534 6,425 6.2 58,791 165,298 106,346 163,211 104,260 97,953 3,326 94,626 6,307 6.0 58,951 67,006 53,464 51,212 2,361 48,852 2,252 4.2 13,541 68,293 54,486 52,264 2,350 49,913 2,223 4.1 13,807 67,816 54,349 52,211 2,329 49,882 2,138 3.9 13,467 67,939 54,315 52,151 2,350 49,801 2,164 4.0 13,624 67,997 54,239 52,049 2,295 49,754 2,190 4.0 13,758 68,123 54,288 52,158 2,301 49,857 2,130 3.9 13,835 68,227 54,370 52,201 2,305 49,896 2,169 4.0 13,857 68,319 54,579 52,325 2,327 49,998 2,254 4.1 13,740 68,417 54,597 52,311 2,375 49,936 2,286 4.2 13,820 68,522 54,735 52,453 2,377 50,076 2,282 4.2 13,787 68,697 54,760 52,443 2,371 50,072 2,317 4.2 13,937 68,804 54,709 52,374 2,438 49,936 2,335 4.3 14,095 68,940 54,781 52,478 2,427 50,051 2,303 4.2 14,159 69,047 54,855 52,279 2,387 49,892 2,577 4.7 14,192 69,140 55,038 52,531 2,435 50,096 2,507 4.6 14,102 75,489 37,416 35,180 586 34,593 2,236 6.0 38,073 76,860 38,910 36,698 591 36,107 2,213 5.7 37,949 76,332 38,399 36,197 593 35,604 2,202 5.7 37,933 76,476 38,574 36,362 595 35,767 2,212 5.7 37,902 76,532 38,415 36,216 572 35,644 2,199 5.7 38,117 76,670 38,619 36,411 577 35,834 2,208 5.7 38,051 76,784 38,653 36,457 583 35,874 2,196 5.7 38,131 76,897 39,033 36,873 585 36,288 2,160 5.5 37.864 77,006 39,304 37,000 600 36,400 2,304 5.9 37,702 77,124 39,239 37,075 628 36,447 2,164 5.5 37,885 77,308 39,362 37,112 572 36,540 2,250 5.7 37,946 77,426 39,445 37,248 612 36,636 2,197 5.6 37,981 77,542 39,659 37,402 582 36,820 2,257 5.7 37,883 77,656 39,878 37,574 540 37,034 2,304 5.8 37,778 77,766 39,857 37,604 567 37,037 2,254 5.7 37,909 16,447 9,540 7,981 395 7,586 1,559 16.3 6,907 16,379 9,512 7,984 356 7,628 1,528 16.1 6,867 16,391 9,631 8,088 385 7,703 1,543 16.0 6,760 16,404 9,616 8,110 375 7,735 1,506 15.7 6,788 16,397 9,544 7,989 348 7,641 1,555 16.3 6,853 16,389 9,491 7,926 368 7,558 1,565 16.5 6,898 16,381 9,453 7,994 355 7,639 1,459 15.4 6,928 16,387 9,481 7,986 355 7,631 1,495 15.8 6,906 16,377 9,227 7,693 340 7,353 1,534 16.6 7,150 16,367 9,520 7,976 359 7,617 1.544 16.2 6,847 16,370 9,473 7,919 351 7,568 1,554 16.4 6,897 16,360 9,498 7,986 335 7,651 1,512 15.9 6,862 16,326 9,559 8,032 350 7,682 1,527 16.0 6,767 16,317 9,497 7,952 344 7,608 1,545 16.3 6,820 16,305 9,365 7,818 325 7,493 1,547 16.5 6,940 139,580 88,456 83,836 4,620 5.2 51,124 141,614 90,602 86,025 4,577 5.1 51,011 140,825 90,250 85,786 4,464 4.9 50,430 141,063 90,260 85,754 4,506 5.0 50,648 141,123 89,996 85,497 4,499 5.0 51,200 141,331 90,120 85,632 4,488 5.0 51,313 141,492 90,215 85,775 4,440 4.9 51,213 141,661 90,659 86,120 4,539 5.0 51,107 141,822 90,759 85,976 4,783 5.3 51,161 141,981 91,082 86,425 4,657 5.1 50,900 142,296 91,147 86,454 4,693 5.1 51,149 142,461 91,242 86,571 4,671 5.1 51,219 142,645 91,579 86,894 4,685 5.1 51,066 19,361 11,964 10,537 1,427 11.9 7,397 19,918 12,306 10,920 1,386 11.3 7,612 19,714 12,177 10,746 1,431 11.8 7,486 19,755 12,238 10,860 1,378 11.3 7,504 19,802 12,191 10,767 1,424 11.7 7,627 19,850 12,219 10,816 1,403 11.5 7,674 19,901 12,260 10,887 1,373 11.2 7,629 19,943 12,386 11,023 1,363 11.0 7,579 19,979 12,343 10,982 1,361 11.0 7,639 20,032 12,404 11,063 1,341 108 7,264 20,079 12,512 11,076 1,436 11.5 7,567 20,128 12,391 11,044 1,347 10.9 7,737 20,163 12,432 11,024 1,408 11.3 7,731 TOTAL Total noninstitutional population1 .......................... T o t a l labor force ...................................... Civilian noninstitutional population1 ...................... Civilian labor force ................................ Employed ...................................... Agriculture .............................. Nonagricultural industries ........ Unemployed .................................. Unemployment rate ........................ Not in labor force .................................. Men, 20 years and over Civilian noninstitutional population' ...................... Civilian labor force ...................................... Employed ............................................ Agriculture .................................... Nonagricultural industries ................ Unemployed ........................................ Unemployment rate .............................. Not in labor force ........................................ Women, 20 years and over Civilian noninstitutional population1 ...................... Civilian labor force ...................................... Employed ............................................ Agriculture .................................... Nonagricultural industries ................ Unemployed ........................................ Unemployment rate .............................. Not in labor force ........................................ Both sexes, 16 19 years Civilian noninstitutional population1 ...................... Civilian labor force ...................................... Employed ............................................ Agriculture .................................... Nonagricultural industries ................ Unemployed ........................................ Unemployment rate .............................. Not in labor force ........................................ White Civilian noninstitutional population1 ...................... Civilian labor force ...................................... Employed ............................................ Unemployed ........................................ Unemployment rate .............................. Not In labor force ........................................ 142,806 142,951 91,852 91,977 86,895 87,081 4,957 4,896 5.4 5.3 50,954 50,975 Black and other Civilian noninstitutional population1 ...................... Civilian labor force ...................................... Employed ............................................ Unemployed ........................................ Unemployment rate .............................. Not In labor force ........................................ 1As in table 1, population figures are not seasonally adjusted. NOTE: The data in this table have been revised to reflect seasonal experience through 1979. 72 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 20,214 12,453 10,979 1,474 11.8 7,761 20,261 12,362 10,937 1,424 11.5 7,899 3. Selected employment indicators, seasonally adjusted [ In thousands] Annual average 1979 Selected categories 1980 1978 1979 Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan. Feb. 94,373 55,491 38,882 38.688 21,881 96,945 56,499 40,446 39,090 22,724 96,496 56.476 40,020 39,291 22.522 96,623 56,449 40,174 39,193 22,605 96,254 56,294 39,960 38,910 22,376 96,495 56,372 40,123 39,045 22,547 96,652 56,477 40,175 39,079 22,664 97,184 56,570 40,614 39,176 22,908 97,004 56,408 40,596 39,180 22,869 97,504 56,714 40,790 39,198 22,937 97,474 56,629 40.845 39,124 22,919 97,608 56,580 41,028 38,845 22,940 97,912 56,734 41,178 38.924 23.027 97,804 56,486 41,318 38,749 23,111 97,953 56,732 41,221 38,955 23,178 47,205 14,245 49,342 15,050 48,836 14,950 48,996 15,012 49,061 15,091 49,136 15.100 49,192 15,010 49,536 15,057 49,663 15,068 49,816 15,141 49,738 15,057 49,912 15,131 49,911 15,272 50,313 15.337 50,448 15,444 10,105 5,951 16.904 31,531 12,386 10,875 3,541 4,729 12,839 2,798 10,516 6,163 17,613 32,066 12,880 10,909 3,612 4,665 12,834 2.703 10,379 6,090 17.417 32,176 12,898 10,901 3,602 4,775 12,804 2.746 10,392 6,055 17,537 32,041 12,792 10,991 3,569 4,689 12.847 2,774 10,398 6.084 17,488 31,705 12.703 10,770 3,564 4,668 12.907 2,659 10,427 6,101 17,508 31,904 12,820 10,755 3.644 4,685 12,772 2,628 10,534 6,103 17,545 31,992 12,944 10,804 3,605 4,639 12,805 2,679 10,612 6,163 17,704 32,051 12,876 10.884 3,627 4,664 12,766 2.678 10,698 6,145 17.752 31,849 12.761 10,909 3.604 4,575 12,621 2,707 10,659 6,181 17,835 32,209 12,993 10,964 3,617 4.635 12,859 2,722 10,639 6,261 17,781 32,205 13,001 10,967 3,593 4,644 12,937 2,695 10,617 6,362 17,802 32,110 12,925 10,963 3,628 4,594 12,899 2,718 10,535 6,346 17,758 32,302 13.041 11,0423,635 4,584 12,970 2,694 10,608 6.452 17.915 31.882 12,814 10.678 3,616 4,774 12,979 2,660 10.971 6.185 17,848 31,754 12,728 10,661 3,571 4.795 13.080 2,764 1.419 1,607 316 1.413 1,580 304 1,425 1,558 334 1,415 1,583 314 1,379 1,553 291 1,424 1,519 283 1.423 1,539 291 1,419 1,558 291 1,384 1,614 310 1.399 1.642 325 1,381 1.602 313 1,475 1,622 310 1,451 1,596 310 1,428 1.554 293 1,417 1,648 283 84,253 15,289 68.966 1,363 67,603 6,305 ■ 472 86,540 15,369 71,171 1,240 69,931 6,652 455 86,192 15,322 70,870 1.328 69,542 6.591 455 86,439 15,281 71,158 1.262 69,896 6,542 446 86,105 15,359 70,746 1,172 69,574 6.463 465 86,232 15,616 70,616 1,195 69,421 6,608 460 86,309 15,318 70,991 1.235 69,756 6,629 474 86,454 15.393 71,061 1,219 69,842 6,752 519 86,421 15,279 71,142 1,211 69,931 6,689 450 86.912 15.407 71,505 1,313 70,192 6,731 449 86,982 15,423 71.559 1,261 70,298 6,812 430 87,020 15,358 71,662 1,211 70.451 6,781 417 87,384 15,397 71,987 1.228 70,759 6,737 409 87,578 15.414 72,163 1,132 71,031 6,752 379 87,419 15,540 71,879 1,178 70.702 6.899 397 85,693 70,543 3,216 1,249 1,967 11,934 88,133 72,647 3.281 1,325 1,956 12,205 87,543 72,212 3,176 1.246 1,930 12,155 87,847 72,529 3,211 1,254 1.957 12.107 86,608 71,659 3,279 1,287 1,992 11,670 87,785 72,496 3,283 1,273 2,010 12,006 87,749 72,243 3,284 1,322 1.962 12,222 88,769 72,915 3.274 1.334 1.940 12,580 88,855 73.053 3,298 1,401 1,897 12,504 88,723 73.159 3,167 1,273 1,894 12,397 88,638 73,204 3,315 1.354 1,961 12.119 88,617 72,997 3,392 1.413 1,979 12,228 89.180 73,137 3,519 1,491 2.028 12,524 89,454 73,223 3,513 1,549 1,964 12,718 88.985 73,110 3,406 1.380 2,026 12,469 CHARACTERISTIC Total employed, 16 years and over ...................... M e n ...................................... Women.............................................. Married men, spouse present .................... Married women, spouse present ................ OCCUPATION White-collar workers.................................. Professional and technical ............................ Managers and administrators, except farm ............................................ Salesworkers................................................ Clerical workers............................................ Blue-collar workers............................ .Craft and kindred workers .......................... Operatives, except transport.......................... Transport equipment operatives .................... Nonfarm laborers.................................... Service workers.................................. Farmworkers ........................ MAJOR INDUSTRY AND CLASS OF WORKER Agriculture: Wage and salary workers.............................. Self-employed workers............................ Unpaid family workers .......................... Nonagricultural industries: Wage and salary workers.............................. Government .......................................... Private industries.................................... Private households.......................... Other industries .............................. Self-employed workers...................... Unpaid family workers ................ PERSONS AT WORK 1 Nonagricultural industries.............. Full-time schedules ............................ Part time for economic reasons...................... Usually work full time...................... Usually work part tim e............................ Part time for noneconomic reasons................ Excludes persons with a job but not at work during the survey period for such reasons as vacation, illness, or industrial disputes. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis NOTE: The data in this table have been revised to reflect seasonal experience through 1979 73 M O N T H L Y L A B O R R E V IE W A pril 1980 • C u r r e n t L a b o r S t a t is ti c s : H o u s e h o l d D a t a 4. Selected unemployment indicators, seasonally adjusted 1930 1979 Annual average Employment status 1978 1979 Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan. Feb. Total, 16 years and over...................................... Men, 20 years and over................................ Women, 20 years and over .......................... Both sexes, 16-19 years ............................ 6.0 4.2 6.0 16.3 5.8 4.1 5.7 16.1 5.7 3.9 5.7 16.0 5.7 4.0 5.7 15.7 5.8 4.0 5.7 16.3 5.8 3.9 5.7 16.5 5.7 4.0 5.7 15.4 5.7 4.1 5.5 15.8 5.9 4.2 5.9 16.6 5.8 4.2 5.5 16.2 5.9 4.2 5.7 16.4 5.8 4.3 5.6 15.9 5.9 4.2 5.7 16.0 6.2 4.7 5.8 16.3 6.0 4.6 5.7 16.5 White, total .................................................. Men, 20 years and over ........................ Women, 20 years and o v e r.................... Both sexes, 16-19 years ...................... 5.2 3.7 5.2 13.9 5.1 3.6 5.0 13.9 4.9 3.4 5.0 13.6 5.0 3.4 5.0 13.6 5.0 3.5 5.0 13.9 5.0 3.4 5.0 14.2 4.9 3.5 4.9 13.2 5.0 3.6 4.8 13.8 5.3 3.7 5.2 14.8 5.1 3.7 4.8 14.3 5.1 3.7 5.0 14.1 5.1 3.7 4.9 13.9 5.1 3.7 5.0 13.9 5.4 4.1 5.1 14.0 5.3 4.0 5.2 13.8 Black and other, total.................................... Men, 20 years and over ........................ Women, 20 years and o v e r.................... Both sexes, 16-19 years ...................... 11.9 8.6 10.6 36.3 11.3 8.4 10.1 33.5 11.8 8.6 10.4 34,9 11.3 8.7 10.0 31.5 11.7 8.6 10.5 34.3 11.5 8.4 10.0 36.1 11.2 8.1 10.4 33.5 11.0 8.4 10.0 31.5 11.0 8.1 10.3 32.6 10.8 8.0 9.8 32.3 11.5 8.6 10.2 35.1 10.9 8.4 9.5 32.8 11.3 8.6 10.0 34.3 11.8 9.6 10.0 34.6 11.5 9.2 9.0 37.9 Married men, spouse present........................ Married women, spouse present.................... Women who head families............................ Full-time workers.......................................... Part-time workers ........................................ Unemployed 15 weeks and over.................... Labor force time lost1 .................................. 2.8 5.5 8.5 5.5 9.0 1.4 6.5 2.7 5.1 8.3 5.3 8.7 1.2 6.3 2.6 5.3 8.3 5.2 8.8 1.2 6.2 2.6 5.2 8.2 5.2 9.0 1.3 6.2 2.7 5.2 8.3 5.3 8.7 1.2 6.4 2.5 5.2 8.6 5.2 9.3 1.2 6.3 2.7 5.1 9.0 5.2 8.6 1.1 6.3 2.8 4.9 8.1 5.3 8.3 1.0 6.4 2.9 5.3 7.9 5.4 8.8 1.1 6.4 2.9 4.8 7.7 5.3 8.4 1.1 6.2 2.9 5.2 8.4 5.4 8.9 1.2 6.4 2.9 4.8 8.4 5.4 8.3 1.1 6.4 2.8 5.0 8.4 5.4 8.5 1.2 6.4 3.4 5.2 9.2 5.7 8.7 1.3 6.7 3.1 5.4 8.5 5.6 8.9 1.2 6.6 3.5 2.6 3.3 2.4 3.4 2.4 3.3 2.2 3.3 2.3 3.2 2.1 3.4 2.5 3.3 2.5 3.5 2.5 3.3 2.4 3.4 2.7 3.2 2.4 3.3 2.3 3.4 2.2 3.4 2.3 2.1 4.1 4.9 6.9 4.6 8.1 5.2 10.7 7.4 3.8 2.1 3.9 4.6 6.9 4.5 8.4 5.4 10.8 7.1 3.8 2.0 4.2 4.7 6.5 4.5 7.8 5.0 9.7 7.3 3.4 2.1 4.1 4.8 6.6 4.5 7.8 5.2 10.2 7.3 3.3 2.3 4.0 4.5 6.9 4.4 8.5 5.9 10.6 7.3 3.4 2.2 4.0 4.5 6.8 4.2 8.2 5.4 11.1 7.2 3.6 2.1 4.4 4.6 6.6 4.3 7.7 5.7 10.6 7.2 3.2 2.0 3.5 4.5 6.8 4.4 8.3 5.1 11.0 7.1 4.2 2.3 4.0 4.9 7.3 4.7 8.9 6.2 11.3 7.1 3.9 2.2 3.8 4.5 7.1 4.3 9.0 6.1 11.0 6.7 4.1 2.2 3.8 4.7 7.2 4.6 9.1 5.6 1.0.7 6.8 4.3 1.9 3.7 4.4 7.5 4.9 9.0 5.2 12.2 6.6 4.5 2.0 3.8 4.6 7.2 4.4 9.0 5.0 12.2 6.6 4.3 1.9 4.4 4.8 8.0 4.9 9.9 6.9 12.3 6.9 4.4 2.2 4.5 4.7 7.7 4.8 9.2 6.7 12.0 6.9 3.9 5.9 10.6 5.5 4.9 6.3 3.7 6.9 5.1 3.9 8.8 5.7 10.2 5.5 5.0 6.4 3.7 6.5 4,9 3.7 9.1 5.6 10.9 4.9 4.2 5.9 3.2 6.5 4.8 3.8 8.6 5.6 10.1 5.2 4.4 6.4 3.9 6.3 4.8 4.1 8.0 5.7 10.5 5.3 4.7 6.3 3.0 6.6 4.8 3.7 8.7 5.7 10.0 5.4 4.4 6.9 3.6 6.4 4.9 3.6 9.3 5.6 10.0 5.4 4.9 6.3 3.1 6.7 4.7 3.6 7.8 5.7 10.0 5.7 5.4 6.2 3.8 6.3 4.9 3.6 9.7 6.0 10.1 5.9 5.4 6.8 3.7 6.5 5.2 3.7 9.9 5.8 9.6 6.0 5.3 7.1 4.0 6.4 4.7 3.3 10.0 5.9 9.9 6.0 5.5 6.8 3.8 6.4 4.9 4.0 9.9 5.8 10.2 5.9 5.6 6.3 4.2 6.5 4.6 3.6 10.1 5.8 10.3 5.9 5,5 6.4 4.1 6.4 4.7 3.6 9.4 6.2 10.8 6.7 6.7 6.8 4.4 6.6 4.6 3.8 10.3 6.0 10.5 6.4 6.3 6.7 4.4 6.4 4.6 4.0 9.2 CHARACTERISTIC OCCUPATION White-collar workers .......................................... Professional and technical ............................ Managers and administrators, except Salesworkers .............................................. Clerical workers .......................................... Blue-collar workers ............................................ Craft and kindred workers ............................ Operatives, except transport ........................ Transport equipment operatives .................... Nonfarm laborers ........................................ Service workers.................................................. Farmworkers...................................................... INDUSTRY Nonagricultural private wage and salary workers2 Construction ................................................ Manufacturing.............................................. Durable goods ...................................... Nondurable goods.................................. Transportation and public utilities .................. Wholesale and retail trade............................ Finance and service industries ...................... Government workers .......................................... Agricultural wage and salary workers .................. ' Aggregate hours lost by the unemployed and persons on part time for economic reasons as a percent of potentially available labor force hours. 74 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 2 Includes mining, not shown separately, NOTE: The data in this table have been revised to reflect seasonal experience through 1979. 5. Unemployment rates, by sex and age, seasonally adjusted Annual average Sex and age 1979 1980 1978 1979 Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan. Feb. Total, 16 years and over...................................... 16 to 19 years ............................................ 16 to 17 years ...................................... 18 to 19 years ................................ 20 to 24 years ............................................ 25 years and over ........................................ 25 to 54 years ...................................... 55 years and over.................................. 6.0 16.3 19.3 14.2 9.5 4.0 4.2 3.2 5.8 16.1 18.1 14.6 9.0 3.9 4.1 3.0 5.7 16.0 18.5 14.3 8.6 3.9 4.1 3.0 5.7 15.7 18.5 13.5 8.8 3.9 4,1 3.1 5.8 16.3 18.7 14.3 8.6 4.0 4.2 3.1 5.8 16.5 18.9 15.0 8.9 3.9 4.0 3.1 5.7 15.4 17.5 14.4 8.9 3.9 4.1 2.9 5.7 15.8 17.3 14.5 9.1 3.9 4.0 3.2 5.9 16.6 18.5 15.4 9.3 4.0 4.2 3.1 5.8 16.2 16.9 15.6 9.2 3.9 4.1 2.9 5.9 16.4 18.4 15.0 9.6 4.0 4.2 3.0 5.8 15.9 17.3 14.7 8.8 4.0 4.3 2.7 5.9 16.0 18.0 14.5 9.8 3.8 4.1 2.7 6.2 16.3 190 14.0 10.1 4.2 4.4 3.5 6.0 16.5 18.7 15.1 9.5 4.1 4.5 2.8 Men, 16 years and over................................ 16 to 19 years ...................................... 16 to 17 years................................ 18 to 19 years................................ 20 to 24 years ...................................... 25 years and over.................................. 25 to 54 years................................ 55 years and over .......................... 5.2 15.7 19.2 13.2 9,1 3.3 3.4 3.1 5.1 15.8 17.9 14.2 8.6 3.3 3.4 2.9 5.0 16.1 19.2 14.2 8.1 3.2 3.3 2.8 5.0 15.8 18.9 13.6 8.3 3.2 3.3 2.8 5.1 16.0 17.9 14.1 8.0 3.3 3.3 3.0 5.0 16.1 18.9 14.0 8.2 3.1 3.2 2.8 4.9 14.5 16.8 14.0 8.3 3.2 3.2 3.1 5.1 15.4 16.1 14.8 8.8 3.3 3.4 3.3 5.2 16.3 18.0 15.1 8.8 3.4 3.5 3.1 5.2 16.1 16.7 15.3 8.8 3.3 3.6 28 5.2 15.7 17.1 14.4 * 9.5 3.4 3.5 2.8 5.2 15.8 17.8 14.0 8.4 3.5 3.8 2.6 5.2 15.6 17.9 13.6 9.4 3.2 3.4 2.6 5.7 16.2 . 19.0 13.9 10.4 3.7 3.8 3.5 5.5 15.6 18.0 14.1 9.9 3.6 3.8 2.6 Women, 16 years and over .......................... 16 to 19 years .................................. 16 to 17 years................................ 18 to 19 years................................ 20 to 24 years ...................................... 25 years and over .................................. 25 to 54 years................................ 55 years and over .......................... 7.2 17.0 19.5 15.3 10.1 5.1 5.4 3.3 6.8 16.4 18.3 15.0 9.6 4.8 5.2 3.2 6.8 15.9 17.7 14.5 9.3 5.0 5.4 3.3 6.8 15.5 18.0 133 9.5 4.9 5.3 3.6 6.9 16.6 19.6 14.5 9.4 4.9 5.3 3.2 6.9 16.9 18.8 16.0 9.7 4.9 5.2 3.6 6.8 16.5 18.3 149 9.7 4.8 5.2 2.8 6.6 16.2 18.6 14.2 9.4 4.7 5.0 3.1 7.0 17.0 19.0 15.7 9.8 4.9 5.3 3.2 6.6 16.4 17.2 15.9 9.6 4.6 5.0 29 6.9 17.2 19.8 15.6 9.7 4.9 5.2 3.4 6.6 • 16.1 16.7 15.5 9.3 4.7 5.0 2.9 6.8 16.4 18.0 15.5 10.2 4.7 5.1 2.9 6.8 16.3 19.1 14.2 9.8 4.9 5.2 3.4 6.8 17.6 19.5 16.2 9.1 4.9 5.4 3.0 Aug. Sept. Oct. Nov. Dec. Jan. 6. j Unemployed persons, by reason for unemployment, seasonally adjusted [Numbers in thousands] 1979 Reason for unemployment Feb. Mar. Apr. May June July 1980 Feb. * NUMBER OF UNEMPLOYED Lost astjob ................................................ On layoff .............................................. Other job losers .............................................. Left last jo b ................................................ Reentered labor force .......................... Seeking first jo b ................................ 2,475 779 1,696 828 1,766 858 2,457 791 1,666 864 1,766 808 2,520 839 1,681 847 1,778 800 2,356 725 1,631 940 1,767 824 2,449 816 1,633 857 1,753 781 2,526 797 1,729 846 1,762 726 2,680 915 1,765 875 1,788 745 2,632 855 1,777 825 1,760 801 2,731 929 1,802 835 1,762 804 2,729 987 1,742 845 1,698 736 2,728 944 1,784 800 1,771 858 2,988 1,019 1,969 779 1,797 811 2,907 1,031 1,876 813 1,784 827 100.0 41.8 13.1 28.6 14.0 298 14.5 10C.0 41.7 13.4 28.3 14.7 30.0 13.7 100.0 42.4 14.1 28.3 14.2 29,9 13.5 100,0 40.0 12.3 27.7 16.0 30.0 14.0 100.0 41.9 14.0 280 14.7 30.0 13.4 100.0 43.1 13.6 295 14.4 30.1 12.4 100.0 44.0 15.0 29.0 14.4 29.4 12.2 100.0 43.7 14.2 29.5 13.7 29.2 13.3 100.0 44.5 15.2 29.4 13.6 28.7 13.1 100.0 45.4 16.4 29.0 14.1 28.3 12.3 100,0 44.3 15.3 29.0 13.0 28.8 13.9 100.0 46.9 16.0 30.9 12.2 28.2 12.7 100.0 45.9 16.3 296 12.8 28.2 13.1 2.4 .8 1.7 .8 2.4 .8 1.7 .8 2.5 .8 1.7 .8 2.3 .9 1.7 8 2.4 .8 1.7 .8 2.5 .8 1.7 .7 2.6 .8 1.7 .7 2.5 .8 1.7 .8 2.6 .8 1.7 8 2.6 8 1.6 .7 2.6 .8 1.7 .8 2.9 .7 1.7 ■8 2.8 ,8 1.7 .8 PERCENT DISTRIBUTION Total unemployed .......................... Job losers................................ On layoff ...................................... Other job losers ...................... Job leavers .............................. Reentrants ...................................... New entrants................................ UNEMPLOYED AS A PERCENT OF THE CIVILIAN LABOR FORCE Job losers............................ Job leavers.................................... Reentrants .................................. New entrants.......................................... 7. Duration of unemployment, seasonally adjusted [Numbers in thousands] Weeks of unemployment Annual average 1978 Less than 5 weeks................................ 5 to 14 weeks ............................................ 15 weeks and over ............................................ 15 to 26 weeks............................................ 27 weeks and over ................................ Average (mean) duration, in weeks...................... 2,793 1,875 1,379 746 633 11.9 1979 2,869 1,892 1,202 684 518 10.8 1979 1980 Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan. Feb. 2,779 1,877 1,239 700 539 11.3 2,769 1,860 1,291 729 562 11.8 2,876 1,884 1,223 687 536 11.0 2,823 1,919 1,212 705 507 10.9 2,880 1,808 1,152 656 496 10.5 2,820 1,934 1,067 615 452 10.1 3,168 1,738 1,185 658 527 10.7 2,778 2,035 1,152 644 508 10.7 2,955 1,963 1,195 678 517 10.5 2,919 1,869 1,191 660 531 10.6 2,916 1,966 1,230 711 519 10.5 3,184 1,907 1,334 795 539 10.5 2,995 2,081 1,286 790 496 10.7 NOTE: The data in these tables have been revised to reflect seasonal experience through 1979. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 75 EMPLOYMENT, HOURS, AND EARNINGS DATA FROM ESTABLISHMENT SURVEYS E m p l o y m e n t , h o u r s , a n d e a r n i n g s d a t a in this section are compiled from payroll records reported monthly on a volun tary basis to the Bureau of Labor Statistics and its cooperat ing State agencies by 162,000 establishments representing all industries except agriculture. In most industries, the sampling probabilities are based on the size of the establishment; most large establishments are therefore in the sample. (An estab lishment is not necessarily a firm; it may be a branch plant, for example, or warehouse.) Self-employed persons and others not on a regular civilian payroll are outside the scope of the survey because they are excluded from establishment records. This largely accounts for the difference in employment figures between the household ancl establishment surveys. L a b o r t u r n o v e r d a t a in this section are compiled from per sonnel records reported monthly on a voluntary basis to the Bureau of Labor Statistics and its cooperating State agencies. A sample of 40,000 establishments represents all industries in the manufacturing and mining sectors of the economy. Bureau of Labor Statistics computes spendable earnings from gross weekly earnings for only two illustrative cases: (1) a worker with no dependents and (2) a married worker with three dependents. H o u r s represent the average weekly hours of production or nonsupervisory workers for which pay was received and are different from standard or scheduled hours. O v e r tim e h o u rs represent the por tion of gross average weekly hours which were in excess of regular hours and for which overtime premiums were paid. L a b o r tu r n o v e r is the movement of all wage and salary workers from one employment status to another. A c c e s s io n r a te s indicate the average number of persons added to a payroll in a given period per 100 employees; s e p a r a tio n r a te s indicate the average number dropped from a payroll per 100 employees. Although month-to-month changes in employment can be calculated from the labor turnover data, the re sults are not comparable with employment data from the employment and payroll survey. The labor turnover survey measures changes dur ing the calendar month while the employment and payroll survey measures changes from midmonth to midmonth. Notes on the data Definitions E m p lo y e d p e r so n s day and sick pay) 12th of the month. cent of all persons ment which reports are all persons who received pay (including holi for any part of the payroll period including the Persons holding more than one job (about 5 per in the labor force) are counted in each establish them. P r o d u c tio n w o r k e r s in manufacturing include blue-collar worker supervisors and all nonsupervisory workers closely associated with production operations. Those workers mentioned in tables 14-20 in clude production workers in manufacturing and mining; construction workers in construction; and nonsupervisory workers in transporta tion and public utilities, in wholesale and retail trade, in finance, in surance, and real estate, and in service industries. These groups account for about four-fifths of the total employment on private nonagricultural payrolls. E a r n in g s are the payments production or nonsupervisory workers receive during the survey period, including premium pay for overtime or late-shift work but excluding irregular bonuses and other special payments. R e a l e a r n in g s are earnings adjusted to eliminate the effects of price change. The H o u r ly E a r n in g s I n d e x is calculated from aver age hourly earnings data adjusted to exclude the effects of two types of changes that are unrelated to underlying wage-rate developments: fluctuations in overtime premiums in manufacturing (the only sector for which overtime data are available) and the effects of changes and seasonal factors in the proportion of workers in high-wage and lowwage industries. S p e n d a b le e a r n in g s are earnings from which estimat ed social security and Federal income taxes have been deducted. The 76 j https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Establishment data collected by the Bureau of Labor Statistics are periodically adjusted to comprehensive counts of employment (called “benchmarks”). The latest complete adjustment was made with the re lease of September 1979 data, published in the November 1979 issue of the R ev ie w . Consequently, data published in the R e v ie w prior to that issue are not necessarily comparable to current data. Complete compa rable historical unadjusted and seasonally adjusted data are published in a Supplement to Employment and Earnings (unadjusted data from April 1977 through June 1979 and seasonally adjusted data from Jan uary 1974 through June 1979) and in E m p lo y m e n t a n d E a rn in g s, U n it e d S ta tes , 1 9 0 9 - 7 8 , BLS Bulletin 1312-11 (for prior periods). Data on recalls were shown for the first time in tables 12 and 13 in the January 1978 issue of the R eview . For a detailed discussion of the recalls series, along with historical data, see “New Series on Recalls from the Labor Turnover Survey,” E m p lo y m e n t a n d E a rn in g s, Decem ber 1977, pp. 10-19. A comprehensive discussion of the differences between household and establishment data on employment appears in Gloria P. Green, “Comparing employment estimates from household and payroll sur veys,” M o n th ly L a b o r R ev ie w , December 1969, pp. 9-2 0 . See also B L S H a n d b o o k o f M e th o d s f o r S u r v e y s a n d S tu d ie s, Bulletin 1910 (Bu reau of Labor Statistics, 1976). The formulas used to construct the spendable average weekly earn ings series reflect the latest provisions of the Federal income tax and social security tax laws. For the spendable average weekly earnings formulas for the years 1978-80, see E m p lo y m e n t a n d E a rn in g s, March 1980, pp. 10-11. Real earnings data are adjusted using the Consumer Price Index for Urban Wage Earners and Clerical Workers (CPI-W). 8. Employment by industry, 1950-79 [Nonagricultural payroll data, in thousands] Total Mining Construc tion Manufac turing Trans portation and public utilities Whole sale and retail trade Wholesale trade Retail trade Government Finance, insur ance, and real estate Services Total Federal State and local 1950 45,197 901 2,364 15,241 4,034 9,386 2,635 6,751 1,888 5,357 6,026 1,928 4,098 1951 1952 1953 1954 1955 47,819 48,793 50,202 48,990 50,641 929 898 866 791 792 2,637 2,668 2,659 2,646 2,839 16,393 16,632 17,549 16,314 16,882 4,226 4,248 4,290 4,084 4,141 9,742 10,004 10,247 10,235 10,535 2,727 2,812 2,854 2,867 2,926 7,015 7,192 7,393 7,368 7,610 1,956 2,035 2,111 2,200 2,298 5,547 5,699 5,835 5,969 6,240 6,389 6,609 6,645 6,751 6,914 2,302 2,420 2,305 2,188 2.187 4,087 4,188 4,340 4,563 4,727 1956 1957 1958 1959’ 1960 52,369 52,853 51,324 53,268 54,189 822 828 751 732 712 3,039 2,962 2,817 3,004 2,926 17,243 17,174 15,945 16,675 16,796 4,244 4,241 3,976 4,011 4,004 10,858 10,886 10,750 11,127 11,391 3,018 3,028 2,980 3,082 3,143 7,840 7,858 7,770 8,045 8,248 2,389 2,438 2,481 2,549 2,629 6,497 6,708 6,765 7,087 7,378 7,278 7,616 7,839 8,083 8,353 2,209 2,217 2,191 2,233 2,270 5,069 5,399 5,648 5,850 6,083 1961 1962 1963 1964 1965 53,999 55,549 56,653 58,283 60,765 672 650 635 634 632 2,859 2,948 3,010 3,097 3,232 16,326 16,853 16,995 17,274 18,062 3,903 3,906 3,903 3,951 4,036 11,337 11,566 11,778 12,160 12,716 3,133 3,198 3,248 3,337 3,466 8.204 8,368 8,530 8,823 9,250 2,688 2,754 2,830 2,911 2,977 7,620 7,982 8,277 8,660 9,036 8,594 8,890 9,225 9,596 10,074 2,279 2,340 2,358 2,348 2,378 6,315 6,550 6,868 7,248 7,696 1966 1967 1968 1969 1970 63,901 65,803 67,897 70,384 70,880 627 613 606 619 623 3,317 3,248 3,350 3,575 3,588 19,214 19,447 19,781 20,167 19,367 4,158 4,268 4,318 4,442 4,515 13,245 13,606 14,099 14,705 15,040 3,597 3,689 3,779 3,907 3,993 9,648 9,917 10,320 10,798 11,047 3,058 3,185 3,337 3,512 3,645 9,498 10,045 10,567 11,169 11,548 10,784 11,391 11,839 12,195 12,554 2,564 2,719 2,737 2.758 2,731 8,220 8,672 9.102 9,437 9,823 1971 1972 1973 1974 1975 71,214 73,675 76,790 78,265 76,945 609 628 642 697 752 3,704 3,889 4,097 4,020 3,525 18,623 19,151 20,154 20,077 18,323 4,476 4,541 4,656 4,725 4,542 15,352 15,949 16,607 16,987 17,060 4,001 4,113 4,277 4,433 4,415 11,351 11,836 12,329 12,554 12,645 3,772 3,908 4,046 4,148 4,165 11,797 12,276 12,857 13,441 13,892 12,881 13,334 13,732 14,170 14,686 2,696 2,684 2,663 2,724 2,748 10,185 10,649 11,068 11,446 11,937 1976 . 1977 1978 . 1979 . 79,382 82,423 86,446 89,482 779 813 851 957 3,576 3,851 4,271 4,644 18,997 19,682 20,476 20,972 4,582 4,713 4,927 5,154 17,755 18,516 19,499 20,137 4,546 4,708 4,957 5,170 13,209 13,808 14,542 14,966 4,271 4,467 4,727 4,963 14,551 15,303 16,220 17,043 14,871 15,079 15,476 15,612 2,733 2,727 2.753 2,773 12,138 12,352 12,723 12,839 'Data include Alaska and Hawaii beginning in 1959. 9. Employment by State [Nonagricultural payroll data, in thousands] State Jan. 1979 Dec. 1979 Jan. 1980” Alabama1 ............ Alaska.................. Arizona ' .............. Arkansas' ............ California’ ............ 1,339.8 152.7 937.9 722.0 9,380.4 1,378.2 157.7 1,010.7 757.8 9,886.9 1,360.8 NA 997.2 745.3 9,726.2 Colorado' ............ Connecticut .......... Delaware’ ............ District of Columbia ’ Florida'................ 1,171.7 1,366.9 247.6 601.5 3,307,9 1,254.9 1,431.5 261.8 624.1 3,511.2 Georgia' .............. Hawaii.................. Idaho.................... Illinois ' ................ Indiana'................ 2,075.7 3835 325.3 4,679.3 2,210.0 Iowa ’ .................. Kansas’ .............. Kentucky’ ............ Louisiana' ............ Maine ' ................ Maryland.............. Massachusetts Michigan1 ............ Minnesota ............ Mississippi ’ .......... Missouri’ .............. State Jan. 1979 Dec. 1979 Jan. 1980” Montana.................................................. Nebraska'........................................ Nevada’ .................................. New Hampshire .............................. New Jersey .............................. 2689 604.8 359.9 3632 2,951.4 288.7 632.3 394.7 386.9 3,064.5 278 1 616.3 387.1 NA 2,993.9 1,237.0 1,402,7 253.2 611.0 3,508.6 New Mexico' ...................................... New York1 ...................................... North Carolina ’ ............................ North Dakota ...................................... Ohio1 ........................................................ 446.2 6,992.8 2,326.0 230.6 4,393.4 476.3 7,271.6 2.4328 247.3 4,534.3 469.0 7,087.9 2,404.6 240.2 4,415.3 2,147.3 407.4 339.8 4,976.9 2,2626 2,121.8 405.2 330.7 4,674.8 2,208.7 Oklahoma' .............................................. Oregon' ............................................ Pennsylvania' .................................... Rhode Island' ...................................... South Carolina' .................................................. 1,047.8 1,005.0 4,695.6 3895 1,144.9 1,122.1 1,065.2 4.882.5 4047 1,197.6 1,105.8 1,046.4 4,789.5 391.7 1,184.1 1,098.6 914.2 1,211.5 1,471.7 398.1 1,141.8 967.6 1,262 5 1,525.8 418.7 1.116.4 944.9 1.236 4 1,512.1 406.7 South Dakota...................................... Tennessee' .................................. Texas1 ...................................... Utah ........................................ . Vermont...................................... 230.6 1,731.2 5,406.6 530.6 191.2 239.8 1,810.6 5,754,9 574.3 202.7 233.6 1,775.6 5,725.2 561.1 199.1 1,580.8 2,519.5 3,611.3 1,683.0 818.4 1,941.6 1,645.8 2,6256 3,626.3 1,790.1 850.3 2,0140 1,604.0 2,578.6 3,507.8 NA 835.9 1,963.5 Virginia................................ Washington' .................................. West Virginia' ............................ Wisconsin'.............................. Wyoming .......................................... 2,052.9 1,496.6 6266 1,872.4 185.8 2,128.1 1,616.0 659.7 2,011.7 212.5 2,098.0 1.589.0 633.6 1,952.3 2090 1Revised series; not strictly comparable with previously published data. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 77 MONTHLY LABOR REVIEW April 1980 • Current Labor Statistics: Establishment Data 10. Employment by industry division and major manufacturing group [Nonagricultural payroll data, in thousands] 1980 1979 Annual average Industry division and group TOTAL MINING ............................................................ CONSTRUCTION 1978 1979 Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan.p Feb.p 86,446 89,482 87,331 88,207 88,820 89,671 90,541 89,618 89,673 90,211 90,678 90,902 91,009 89,225 89,301 986 980 982 984 984 985 987 851 957 915 926 932 944 968 976 4,271 4,644 3,957 4,226 4,413 4,662 4,881 4,993 5,048 4,984 4,976 4,879 4,711 4,350 4,287 21,192 15,172 21,094 15,082 20,966 14,954 20,902 14,891 20,692 14,654 20,658 14,649 MANUFACTURING Production workers ...................................... 20,476 14,714 20,972 15,010 20,775 14,908 20,887 14,993 20,907 15,002 20,988 15,061 21,234 15,240 20,965 14,946 20,996 14,960 Durable goods Production workers ...................................... 12,246 8,786 12,690 9,053 12,579 9,018 12,664 9,081 12,697 9,105 12,739 9,129 12,877 9,223 12,712 9,031 12,598 8,907 12,805 9,116 12,737 9,058 12,661 8,983 12,649 8,971 12,524 8,810 12,528 8,825 Lumber and wood products .......................... Furniture and fixtures.................................... Stone, clay, and glass products .................... Primary metal industries................................ Fabricated metal products ............................ Machinery, except electrical.......................... Electric and electronic equipment.................. Transportation equipment.............................. Instruments and related products .................. Miscellaneous manufacturing ........................ 752.4 491.1 698.0 1,212.7 1,673.4 2,319.2 1,999.5 1,991.7 653.5 454.0 758.4 487.3 710.8 1,243.9 1,727.2 2,462.5 2,108.7 2,048.3 690.4 452.4 737.7 495.2 680.6 1,244.8 1,715.6 2,446.4 2,071.0 2,062.7 680.2 444.8 745.5 491.8 697.2 1,251.1 1,719.8 2,459.5 2,082.6 2,083.9 683.2 449.0 748.8 487.8 706.6 1,259.0 1,723.7 2,468.0 2,086.1 2,082.2 686.5 448.0 763.8 483.9 718.6 1,258.6 1,727.8 2,463.6 2,095.2 2,091.8 686.5 448.9 783.2 484.2 733.1 1,274.3 1,749.0 2,491.2 2,128.2 2,077.9 698.8 457.4 776.8 475.5 727.1 1,260.7 1,715.7 2,485.1 2,111.7 2,027.7 692.9 438.6 780.0 483.5 728.2 1,244.5 1,716.1 2,467.1 2,089.5 1,933.2 695.3 460.6 776.3 485.3 723.6 1,244.3 1,735.3 2,496.4 2,136.1 2,051.0 692.7 463.8 771.3 487.6 721.0 1,225.1 1,738.3 2,447.2 2,143.7 2,040.9 695.4 466.9 748.9 488.7 712.9 1,216.7 1,738.2 2,440.9 2,146.3 2,009.7 695.9 462.8 729.2 486.9 699.6 1,204.4 1,730.4 2,455.8 2,153.1 2,043.4 699.8 446.4 704.2 484.0 679.9 1,199.7 1,702.5 2,507.2 2,144.9 1,965.0 699.2 436.9 698.1 480.0 676.3 1,199.2 1,703.0 2,509.9 2,138.9 1,985.5 700.3 437.1 8,230 5,928 8,283 5,957 8,196 5,890 8,223 5,912 8,210 5,897 8,249 5,932 8,357 6,017 8,253 5,915 8,398 6,053 8,387 6,056 8,357 6,024 8,305 5,971 8,253 5,920 8,168 5,844 8,130 5,824 1,721.2 69.6 900.2 1,332.5 700.9 1,193.1 1,096.3 208.7 751.9 255.6 1,716.3 66.2 891.9 1,313.1 714.1 1,242.9 1,112.7 213.8 767.5 243.8 1,658.1 66.4 896.4 1,320.6 703.4 1,225.7 1,099.7 206.4 773.8 245.1 1,666.9 64.4 894.4 1,326.6 708.8 1,229.5 1,103.9 208.3 774.4 245.7 1,657.3 62.5 890.4 1,323.7 710.8 1,231.0 1,106.7 210.8 772.0 245.1 1,669.6 61.9 892.5 1,327.5 712.7 1,234.7 1,110.9 212.9 777.0 249.2 1,716.6 62.1 900.4 1,333.1 724.6 1,243.4 1,126.6 216.8 779.4 253.7 1,737.8 62.1 875.5 1,278.7 719.6 1,245.8 1,123.0 218.0 767.4 224.7 1,810.0 69.0 890.4 1,308.9 723.3 1,245.4 1,121.2 218.3 765.8 245.8 1,814.1 72.2 888.9 1,309.1 718.5 1,246.1 1,114.9 218.1 762.0 243.1 1,766.8 71.9 889.8 1,317.0 717.7 1,254.5 1,115.0 218.1 762.6 243.1 1,725.0 64.8 893.9 1,306.2 715.9 1,265.6 1,115.2 217.2 757.6 243.2 1,695.9 66.7 893.5 1,292.0 714.0 1,272.0 1,115.6 214.9 747.5 240.7 1,650.1 65.0 886.7 1,282.3 712.2 1,266.9 1,113.1 213.3 742.4 235.8 1,639.1 63.9 888.3 1,300.7 710.2 1,275.2 1,111.9 163.6 738.1 239.4 4,927 5,154 5,028 5,060 4,989 5,125 5,231 5,200 5,210 5,242 5,244 5,255 5,254 5,144 5,130 19,499 20,137 19,548 19,690 19,957 20,119 20,222 20,118 20,137 20,260 20,314 20,580 20,932 20,192 20,025 5,211 5,208 5,211 5,206 5,235 5,251 5,234 5,206 5,215 Nondurable goods Food and kindred products............................ Tobacco manufactures ................................ Textile mill products...................................... Apparel and other textile products ................ Printing and publishing.................................. Chemicals and allied products ...................... Petroleum and coal products ........................ Rubber and miscellaneous plastics products Leather and leather products ........................ TRANSPORTATION AND PUBLIC UTILITIES WHOLESALE AND RETAIL TRADE 4,957 5,170 5,067 5,098 5,112 5,146 14,542 14,966 14,481 14,592 14,845 14,973 15,011 14,910 14,926 15,054 15,079 15,329 15,698 14,986 14,810 4,727 4,963 4,845 4,870 4,900 4,936 5,003 5,032 5,053 5,002 5,013 5,029 5,041 5,042 5,046 SERVICES 16,220 17,043 16,545 16,749 16,897 17,039 17,239 17,314 17,312 17,225 17,292 17,281 17,270 17,084 17,247 GOVERNMENT Federal........................................................ State and local ............................................ 15,476 2,753 12,723 15,612 2,773 12,839 15,718 2,738 12,980 15,799 2,740 13,059 15,825 2,750 13,075 15,858 2,773 13,085 15,763 2,824 12,939 15,020 2,838 12,182 14,931 2,844 12,087 15,326 2,751 12,575 15,763 2,756 13,007 15,928 2,760 13,168 15,915 2,770 13,145 15,736 2,763 12,973 15,921 2,771 13,150 WHOLESALE TRADE RETAIL TRADE FINANCE, INSURANCE, AND REAL ESTATE 78 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 11. Employment by industry division and major manufacturing group, seasonally adjusted [Nonagricultural payroll data, In thousands] 1979 Industry division and group 1980 Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan.p Feb.p 88,700 89,039 89,036 89,398 89,626 89,713 89,762 89,803 89,982 90,100 90,241 90,590 90,731 937 940 940 944 949 956 968 973 979 983 991 1,003 1,010 4,486 4,614 4,559 4,648 4,662 4,688 4,674 4,671 4,694 4,714 4,783 4,893 4,861 21,025 15,128 21,073 15,153 21,066 15,134 21,059 15,112 21,063 15,096 21,079 15,090 20,957 14,956 20,949 14,957 20,899 14,894 20,836 14,829 20,881 14,865 20,882 14,824 20,900 14,862 12,715 9,138 12,751 9,158 12,752 9,146 12,739 9,119 12,760 9,123 12,786 9,124 12,714 9,044 12,737 9,066 12,650 8,972 12,587 8,908 12,615 8,931 12,600 8,875 12,659 8,939 768 496 712 1,256 1,733 2,437 2,079 2,094 682 458 769 493 718 1,259 1,732 2,450 2,093 2,094 685 458 761 490 714 1,260 1,732 2,466 2,101 2,084 689 455 762 487 715 1,254 1,730 2,471 2,106 2,077 688 449 757 485 715 1,257 1,737 2,484 2,124 2,057 693 451 753 488 711 1,256 1,730 2,500 2,131 2,073 694 450 752 484 710 1,245 1,714 2,492 2,092 2,079 695 451 758 480 708 1,236 1,716 2,496 2,117 2,086 692 448 760 482 709 1,226 1,723 2,455 2,125 2,025 696 449 751 483 704 1,223 1,726 2,438 2,125 1,994 694 449 740 483 706 1,208 1,725 2.444 2,140 2,019 698 452 732 484 707 1,206 1,711 2,497 2,149 1,959 701 454 727 480 707 1,210 1,720 2,500 2,147 2,016 702 450 8,310 5,990 8,322 5,995 8,314 5,988 8,320 5,993 8,303 5,973 8,293 5,966 8,243 5,912 8,212 5,891 8,249 5,922 8,249 5,921 8,266 5,934 8,282 5,949 8,241 5,923 1,729 68 899 1,327 711 1,229 1,108 212 779 248 1,736 69 897 1,324 716 1,232 1,108 213 780 247 1,728 69 892 1,325 717 1,234 1,111 213 781 244 1,725 70 893 1,324 714 1,236 1,114 213 784 247 1,720 69 892 1,312 715 1,242 1,119 212 775 247 1,707 68 892 1,324 718 1,250 1,116 212 777 229 1,696 64 886 1,302 717 1,247 1,111 213 764 243 1,691 65 884 1,294 714 1,245 1,110 215 751 243 1,707 65 887 1,299 715 1,252 1,113 217 751 243 1,710 60 889 1,292 714 1,262 1,114 217 749 242 1,715 62 893 1,297 713 1,263 1,119 217 745 242 1,706 64 890 1,307 718 1,271 1,122 219 745 240 1,709 65 891 1,307 717 1,279 1,120 168 743 242 5,094 5,116 5,024 5,130 5,190 5,169 5,194 5,180 5,218 5,229 5,223 5,206 5,198 20,016 20,054 20,088 20,129 20,116 20,122 20,126 20,169 20,243 20,308 20,254 20,396 20,505 5,118 5,134 5,138 5,156 5,180 5,182 5,185 5,190 5,209 5,235 5,218 5,243 5,268 14,898 14,920 14,950 14,973 14,936 14,940 14,941 14,979 15,034 15,073 15,036 15,153 15,237 4,88 4 4,899 4,915 4,936 4,958 4,972 5,003 4,997 5,018 5,039 5,056 5,083 5,087 SERVICES 16,763 16,833 16,880 16,954 17,051 17,092 17,141 17,191 17,257 17,298 17,357 17,415 17,474 GOVERNMENT Federal................................................................ State and local ............................................ 15,495 2,757 12,738 15,510 2,757 12,753 15,564 2,758 12,806 15,598 2,770 12,828 15,637 2,788 12,849 15,635 2,785 12,850 15,699 2,813 12,886 15,673 2,762 12,911 15,674 2,770 12,904 15,693 2,771 12,922 15,696 2,771 12,925 15,712 2,791 12,921 15,696 2,791 12,905 TOTAL MINING ............................ CONSTRUCTION MANUFACTURING Production workers.............................................................. Durable goods Production workers................................................ Lumber and wood products ........................................................ Furniture and fixtures.............................................. Stone, clay, and glass products ........................................ Primary metal industries...................................................... Fabricated metal products .............................................................. Machinery, except electrical............................................................ Electric and electronic equipment.................................................... Transportation equipment.............................................. Instruments and related products .............................. Miscellaneous manufacturing ...................................... Nondurable goods Production workers........................................................ Food and kindred products.................................................. Tobacco manufactures ................................................................ Textile mill products................................................ Apparel and other textile products .................................................. Paper and allied products .................................................. Printing and publishing............................ Chemicals and allied products ............................ Petroleum and coal products ........................................................ Rubber and miscellaneous plastics products .............. Leather and leather products .................................. TRANSPORTATION AND PUBLIC UTILITIES WHOLESALE AND RETAIL TRADE WHOLESALE TRADE RETAIL TRADE F IN A N C E , IN S U R A N C E , A N D R EA L E S T A T E https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 79 MONTHLY LABOR REVIEW April 1980 • Current Labor Statistics: Establishment Data 12. Labor turnover rates in manufacturing, 1977 to date [Per 100 employees] Year Annual Jan. May Apr. Mar. Feb. June July Aug. Sept. Oct. Nov. Dec. 4.3 4.4 4.3 5.3 5.4 4.9 4.6 4.9 4.4 3.9 4.3 4.1 3.1 3.3 2.9 2.4 2.4 2.2 3.0 3.3 3.1 4.0 4.2 3.7 3.5 3.9 3.4 3.0 3.5 3.1 2.2 2.6 2.2 1.6 1.7 1.5 .9 .8 .9 1.0 .9 .9 .8 .7 .8 .6 .6 .7 .6 .5 .5 .6 .5 .5 4.3 4.1 4.3 5.1 5.3 5.7 4.9 4.8 4.7 3.8 4.1 4.2 3.4 3.5 3.8 3.4 3.4 3.5 1.9 2.1 2.0 3.1 3.5 3.3 2.8 3.1 2.7 1.9 2.3 2.1 1.5 1.7 1.6 1.2 1.3 1.1 1.5 1.0 1.4 1.0 .8 1.3 1.1 .8 1.1 1.1 .9 1.2 1.1 1.0 1.5 1.5 1.4 1.7 Total accessions 1977 1978 1979 1980 .............................................. .............................................. .............................................. .............................................. 4.0 4.1 3.9 3.7 3.8 4.0 p3.8 3.7 3.2 3.4 4.0 3.8 3.8 3.8 4.0 3.9 4.6 4.7 4.7 2.8 3.1 2.9 2.2 2.5 2.8 p2.4 2.1 2.2 2.5 2.6 2.7 2.8 2.7 2.9 2.9 3.5 3.6 3.6 .9 .8 .7 .8 .8 .8 4.9 4.9 4.8 New hires 1977 1978 1979 1980 .............................................. .............................................. .............................................. .............................................. 3.7 3.9 3.8 Recalls 1977 1978 1979 1980 1.2 1.0 .9 p1.1 .9 .7 .7 .............................................. .............................................. .............................................. .............................................. 1.1 .8 .7 1.3 .7 .7 .8 .7 .7 Total separations 1977 1978 1979 1980 .............................................. .............................................. .............................................. .............................................. 3.9 3.6 3.8 p4.1 3.8 3.9 4.0 3.5 3.8 3.9 3.5 3.7 3.8 3.4 3.6 3.6 3.4 3.5 3.6 3.4 3.1 3.2 Quits 1977 1978 1979 1980 .............................................. .............................................. .............................................. .............................................. 1.9 2.2 2.1 1.9 2.1 2.1 1.7 2.0 2.0 1.6 1.8 1.9 1.3 1.4 1.6 1.4 1.5 1.8 p 1.6 1.8 2.1 2.0 Layoffs 1977 1978 1979 1980 13. .............................................. .............................................. .............................................. .............................................. 1.4 .9 .8 1.7 1.2 1.1 p 1.6 1.1 .9 1.1 .8 .7 .8 .8 .7 .7 .9 .8 .9 1.0 .9 .8 Labor turnover rates in manufacturing, by major industry group [Per 100 employees] Separation rates Accession rates Layoffs Quits Total Recalls New hires Total Major industry group Jan. 1979 Dec. 1979 Jan. 1980 p Jan. 1979 Dec. 1979 Jan. 1980 p Jan. 1979 Dec. 1979 Jan. 1980» Jan. 1979 Dec. 1979 Jan. 1980» Jan. 1979 Dec. 1979 Jan. 1980» Jan. 1979 Dec. 1979 Jan. 1980» MANUFACTURING Seasonally adjusted.............. 4.0 4.3 2.2 4.0 3.8 4.1 2.8 3.3 1.5 3.0 2.4 2.9 0.9 0.5 1.1 3.8 4.1 3.5 4.0 4.1 4.2 1.8 2.3 1.1 1.9 1.6 2.0 1.1 .9 1.7 1.2 1.6 1.3 Durable goods Lumber and wood products.......... Furniture and fixtures .................. Stone, clay, and glass products . . . Primary metal industries .............. Fabricated metal products............ Machinery, except electrical.......... Electric and electronic equipment .. Transportation equipment ............ Instruments and related products .. Miscellaneous manufacturing........ 3.8 5.1 5.5 3.7 2.9 4.0 3.3 3.6 3.7 2.9 5.6 1.9 2.4 2.5 1.9 1.9 2.1 1.8 2.0 1.6 1.8 2.2 3.5 5.2 4.6 3.7 3.0 4.0 2.8 3.0 2.7 4.1 4.9 2.4 1.8 3.1 2.7 2.6 2.1 2.4 3.5 1.3 1.7 1.8 1.2 .7 1.5 1.3 1.4 .7 1.5 1.7 2.1 3.2 3.6 1.9 1.2 2.5 2.0 2.1 .7 .8 ,4 1.1 .8 .8 .4 .6 1.0 .3 2.0 .5 .6 .6 .5 .9 .5 .3 .3 .6 .1 .5 1.0 1.7 .7 1.6 1.5 1.2 .5 .5 3.5 5.9 5.2 4.9 2.5 3.9 2.5 3.2 3.2 2.5 5.8 3.2 6.0 3.5 4.8 3.3 3.4 1.9 2.2 3.5 1.9 6.5 3.9 6.0 5.0 5.0 3.2 4.4 2.7 3.3 1.6 3.0 3.3 1.7 .9 1.8 1.3 1.5 1.1 1.4 2.5 .9 1.8 1.6 1.1 .5 1.1 .7 .9 .5 .9 1.4 1.4 2.6 2.5 1.4 .7 1.6 1.2 1.4 .9 1.8 .8 2.3 .6 1.1 .4 .7 1.1 .3 2.1 1.6 3.3 1.2 3.0 2.0 1.6 .6 .6 2.4 .5 4.4 1.6 2.6 1.4 2.7 1.6 2.0 .7 1.0 Nondurable goods Food and kindred products .......... Tobacco manufacturers................ Textile mill products .................... Apparel and other products........... Paper and allied products ............ Printing and publishing.................. Chemicals and allied products . . . . Petroleum and coal products........ Rubber and miscellaneous plastics products...................... Leather and leather products........ 4.3 5.3 2.4 4.5 6.2 2.6 3.6 1.7 2.0 2.6 3.4 4.2 2.4 3.1 1.7 2.7 1.1 1.2 4.2 4.8 1.8 2.3 1.2 1.8 1.9 1.0 2.1 .8 1.0 2.7 2.9 .7 1.0 2.6 .3 1.1 .5 .5 .2 .1 4.0 6.1 3.0 3.4 5.4 2.6 2.9 1.3 2.1 1.4 2.0 .5 1.6 1.8 .7 1.6 .5 .5 2.6 3.0 1.0 1.8 .7 .7 1.3 2.4 3.6 .8 2.2 .8 .8 .4 .5 1.9 3.4 1.9 1.1 3.0 1.3 .7 .4 1.2 1.6 2.6 4.6 5.9 2.8 3.3 1.7 2.3 2.1 2.6 .7 2.7 3.0 1.2 1.9 .7 .7 2.0 2.4 .8 2.7 1.0 .5 .3 .2 4.3 5.9 5.3 4.5 6.0 2.7 3.4 1.7 2.0 4.4 6.0 3.6 4.0 1.5 2.8 1.2 1.4 1.1 1.6 .8 .7 2.2 .7 .5 .3 .2 1.3 1.6 4.7 6.9 2.7 3.4 1.6 1.7 3.0 3.4 .9 3.4 3.8 1.8 2.9 1.3 1.7 5.1 6.9 2.7 3.8 4.5 7.0 3.8 4.3 1.6 2.5 2.7 4.2 1.0 2.1 .8 1.0 1.5 2.6 4.4 6.5 4.4 5.9 5.2 7.4 2.4 3.7 1.6 2.4 1.9 3.2 .9 1.8 2.1 2.8 2.2 3.1 80 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 3.1 5.4 2.5 3.1 .3 2.0 2.7 6.3 1.6 2.1 .4 3.3 .9 2.2 1.0 .8 .4 .6 14. Hours and earnings, by industry division, 1948-79 [Gross averages, production or nonsupervisory workers on nonagricultural payrolls] Year Average weekly earnings Average weekly hours Average hourly earnings Average weekly earnings Total private 1948 .................. 1949 .................. 1950 .................. Average weekly hours Average hourly earnings Average weekly earnings Mining Average weekly hours Average hourly earnings Average weekly earnings Average weekly hours Construction Average hourly earnings Manufacturin9 $49.00 50.24 53.13 40,0 39.4 39.8 $1.225 1.275 1.335 $65.56 62.33 67.16 39.4 36.3 37.9 $1.664 1.717 1.772 $65.27 67.56 69.68 38.1 37.7 37.4 $1.713 1.792 1.863 $53.12 53.88 58.32 40.0 39.1 40.5 $1.328 1.378 1.440 .................. .................. .................. .................. .................. 57.86 60.65 63.76 64.52 67.72 39.9 39.9 39.6 39.1 39.6 1.45 1.52 1.61 1.65 1.71 74.11 77.59 83.03 82.60 89.54 38.4 386 38.8 38.6 40.7 1.93 2.01 2.14 2.14 2.20 76.96 82.86 86.41 88.91 90.90 38.1 38.9 37.9 37.2 37.1 2.02 2.13 2.28 2.39 2.45 63.34 66.75 70.47 70.49 75.30 40.6 40.7 40.5 39.6 40.7 1.56 1.64 1.74 1.78 1.85 1956 .................. 1957 .................. 1958 .................. 1959' ................ 1960 .................. 70.74 73.33 75.08 78.78 80.67 39.3 38.8 38.5 39.0 38.6 1.80 1.89 1.95 2.02 2.09 95.06 9825 96.08 103.68 105.04 40.8 40.1 38.9 40.5 40.4 2.33 2.45 2.47 2.56 2.60 96.38 100.27 103.78 108.41 112.67 37.5 37.0 36.8 37.0 36.7 2.57 2.71 2.82 2.93 3.07 78.78 81.19 82.32 88.26 89.72 40,4 39.8 39.2 40.3 39.7 1.95 2.04 2.10 2.19 2.26 1961 1962 1963 1964 1965 .................. .................. .................. .................. .................. 82.60 85.91 88.46 91.33 95.45 38.6 38.7 38.8 38.7 38.8 2.14 2.22 228 2.36 2.46 106.92 110.70 114.40 117.74 123.52 40.5 41.0 41.6 41.9 42.3 2.64 2.70 2.75 2.81 2.92 118.08 122.47 127.19 132.06 138.38 36.9 37.0 37.3 37.2 37.4 3.20 3.31 3.41 3.55 3.70 92.34 96.56 99.23 102.97 107.53 39.8 40.4 40.5 40.7 41.2 2.32 2.39 2.45 2.53 2.61 1966 1967 1968 1969 1970 .................. .................. .................. .................. .................. 98.82 101.84 107.73 114.61 119.83 38.6 38.0 37.8 37.7 37.1 2.56 2.68 2.85 3.04 3.23 130.24 135.89 142.71 154.80 164.40 42.7 42.6 42.6 43.0 42.7 3.05 3.19 3.35 3.60 3.85 146.26 154.95 164.49 181.54 195.45 37.6 37.7 37.3 37.9 37.3 3.89 4,11 4.41 4.79 5.24 112.19 114,49 122.51 129.51 133.33 41.4 40.6 40.7 40.6 39.8 2.71 2.82 3.01 3.19 3.35 1971 1972 1973 1974 1975 .................. .................. .................. .................. .................. 127.31 136.90 145.39 154.76 163.53 36.9 37.0 36.9 36.5 36.1 3.45 3.70 3.94 4.24 4,53 172.14 189.14 201.40 219.14 249.31 42.4 42.6 42.4 41.9 41.9 4.06 4.44 4.75 5.23 5.95 211.67 221.19 235.89 249.25 266.08 37.2 36.5 36.8 36.6 36.4 5.69 6.06 6.41 6.81 7.31 142.44 154.71 166.46 176.80 190.79 39.9 40.5 40.7 40.0 39.5 3.57 3.82 4.09 442 4.83 1976 1977 1978 1979 .................. .................. .................. .................. 175.45 189.00 203.70 219.91 36.1 36.0 35.8 39.7 4.86 5.25 5.69 6.16 273.90 301.20 332.11 364.64 42.4 43.4 43.3 43.0 6.46 6.94 7.67 8.48 283.73 295.65 318.32 341.69 36.8 36.5 36.8 36.9 7.71 8.10 8.65 9.26 209.32 228.90 249.27 268.94 40.1 40.3 40.4 40.2 5.22 5.68 6.17 6.69 1951 1952 1953 1954 1955 Transportation and public utilities Finance, insurance, and real estate wnoiesaie ana retail trade 1948 .................. 1949 .................. 1950 .................. - Services $40.80 42 93 44.55 40.4 40 5 40.5 $1 010 1 060 1 100 $45 48 .................. .................. .................. .................. .................. 47,79 49,20 51.35 53.33 55.16 40.5 40.0 39.5 39 5 39.4 1 18 1 23 1.30 1 35 1.40 1956 .................. 1957 .................. 1958 .................. 1959’ ................ 1960 .................. 57.48 59.60 61.76 64.41 66.01 39.1 38 7 38.6 38 8 38.6 1 47 1 54 1.60 1 66 1 71 65 68 67 53 70 12 72 74 75 14 1961 1962 1963 1964 1965 .................. .................. .................. .................. .................. $118.78 125.14 41.1 41.3 $2.89 3.03 67.41 69.91 72.01 74.66 76.91 38.3 38 2 38.1 37.9 37.7 1 76 1 83 1 89 1,97 2.04 77 12 80 94 84 38 85.79 88.91 36 9 37 3 37 5 37.3 37.2 2 25 2.30 2.39 $70.03 73.60 36.1 35.9 $1 94 2.05 1966 1967 1968 1969 1970 .................. .................. .................. .................. .................. 128.13 130.82 138.85 147.74 155.93 41.2 40.5 40.6 40.7 40.5 3.11 3.23 3.42 3.63 385 79.39 82.35 87.00 91.39 96.02 37.1 36.6 36.1 35.7 35.3 2.14 2.25 2.41 2.56. ' 2.72 92.13 95.72 101.75 108.70 112.67 37.3 37,1 37.0 37.1 36.7 2.47 2.58 2.75 2.93 3.07 77.04 80.38 83.97 90.57 96 66 35.5 35.1 34.7 34.7 34,4 2.17 229 2.42 261 2.81 1971 1972 1973 1974 1975 .................. .................. .................. .................. 168.82 187.86 203.31 217.48 233 44 40.1 40.4 40.5 40.2 39.7 4.21 4.65 5.02 5.41 5.88 101.09 106.45 111.76 119.02 126.45 35.1 34.9 34.6 34.2 33.9 288 3.05 3.23 3.48 373 117.85 122.98 129.20 137.61 148.19 36.6 366 36.6 36.5 36.5 322 336 3.53 3.77 4.06 103.06 110.85 117.29 126.00 134,67 33.9 339 33.8 33.6 33.5 3.04 3.27 3.47 375 402 1976 1977 1978 1979 .................. .................. ................ .................. 256.71 27890 302.80 326.38 398 39.9 40.0 399 6.45 6.99 757 8.18 133.79 142.52 153 64 164.96 33.7 333 32.9 32.6 3.97 4.28 4.67 506 155.43 165.26 178.36 191.66 36.4 36.4 364 36.3 4.27 4.54 4.90 5.28 143.52 153.45 163.67 175.27 33.3 33.0 328 32.7 4.31 4.65 4.99 5.36 1951 1952 1953 1954 1955 37 9 $1 200 50 52 37 7 1 340 54.67 57 08 59 57 62 04 63 92 37 7 37 8 37 7 37 6 37 6 1 45 1 51 1 58 1 70 36 9 1 78 37 1 37 3 37 2 1 89 2 09 1Data include Alaska and Hawaii beginning In 1959. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 81 MONTHLY LABOR REVIEW April 1980 • Current Labor Statistics: Establishment Data 15. Weekly hours, by industry division and major manufacturing group [Gross averages, production or nonsupervisory workers on private nonagricultural payrolls] Annual Average 1980 1979 Industry division and group TOTAL PRIVATE MINING.............................................................. 1978 1979 Feb. Mar. Apr. May 35.8 35.7 35.4 35.7 35.1 35.5 35.9 36.0 36.0 35.8 35.7 35.6 35.9 35.1 35.1 43.3 43.0 42.6 42.9 42.6 42.8 43.3 41.7 43.1 43.5 43.7 43.7 43.9 43.2 43.0 June July Aug. Sept. Oct. Nov. Dec. Jan.p Feb.p CONSTRUCTION 36.8 36.9 35.4 37.0 35.5 37.2 37.9 37.7 38.0 37.9 37.6 36.5 37.1 349 35.5 MANUFACTURING ............................................ Overtime hours...................................... 40.4 3.6 40.2 3.3 40.2 3.5 40.6 3.6 38.9 2.5 40.1 3.3 40.4 3.4 39.9 3.2 40.0 3.3 40.3 3.6 40.3 3.4 40.4 3.4 40.9 3.4 39.8 3.0 39.7 2.9 Durable goods Overtime hours...................................... 41.1 3.8 40.8 3.5 41.1 3.9 41.4 3.9 39.3 2.6 40.8 3.6 41.0 3.6 40.4 3.4 40.4 3.4 40.8 3.6 40.8 3.5 40.8 3.5 41.6 3.5 40.4 3.1 40.3 3.0 Lumber and wood products .......................... Furniture and fixtures .................................... Stone, clay, and glass products...................... Primary metal industries................................ Fabricated metal products ............................ 39.8 39.3 41.6 41.8 41.0 39.5 38.6 41.5 41.4 40,8 39.0 38.1 40,6 42,1 40.9 39.7 39.0 41.8 41.9 41.3 39.1 37.5 41.1 41.7 38.8 39.6 38.2 41.9 41.4 40.7 40.2 38.8 42.1 41.6 41.0 39.4 38.0 41.5 41,3 40.3 39.9 38.6 41.7 40.8 40.5 40.1 39.0 41.7 41.3 40.8 39.8 39.3 41.7 40.9 41.0 38.8 39.2 41.7 40.7 41.0 39.2 39.9 41.8 40,9 41.9 38.4 38.5 40.1 40.6 40.6 38.3 38.3 39.9 40.5 40.4 Machinery except electrical............................ Electric and electronic equipment .................. Transportation equipment.............................. Instruments and related products .................. Miscellaneous manufacturing ........................ 42.0 40.3 42.2 40.9 38.8 41.8 40.3 41.2 40.8 38.9 42.5 40.5 42.1 41.0 38.6 42.6 40.7 42.3 41.3 39.2 40.3 38.8 37.9 40.0 37.6 41.7 40.2 41.6 40.8 38.5 42.0 40.5 41.3 40.7 39.0 41.2 39.6 40.9 40.3 38.7 41.3 39.7 40.5 40.3 38.9 41.9 40.5 40.7 40.7 39.3 41.6 40.3 41.3 40.8 39.3 41.9 40.9 40.8 41.4 39.6 42.8 41.3 42.6 41.6 39.7 41.4 40.3 40.4 41.1 39.0 41.4 40.1 40.7 40.7 39.2 Nondurable goods Overtime hours...................................... 39.4 3.2 39.3 3.1 38.9 30 39.3 3.1 38.2 2.5 39.1 2.9 39.4 3.0 39.2 3.0 39.4 3.2 39.6 3.5 39.4 3.2 39.6 3.3 39.9 3.2 39.0 2.9 38.8 2.8 Food and kindred products............................ Tobacco manufactures.................................. Textile mill products...................................... Apparel and other textile products.................. Paper and allied products.............................. 39.7 381 40.4 35.6 42.9 39.9 38.0 40.3 352 42.6 39.2 36.2 399 34.9 42.2 39.6 38.1 40.4 35.4 42.6 390 37.6 38.6 33.9 41.6 39.6 38.9 40.1 35.1 42.4 39.8 39.0 40.6 35.6 42.8 40.1 36.1 39.9 35.4 42.5 40.3 37.6 40.3 35.6 42.6 40.6 39.1 40.8 35.4 42.7 . 40.0 38.8 40.8 35.5 42.6 40.2 39.0 41.3 356 42.9 40.3 395 41.5 35.9 43.5 39.4 37.4 40.9 35.2 42,6 38.9 36.1 40.9 35.3 42.1 Printing and publishing .................................. Chemicals and allied products........................ Petroleum and coal products ........................ Rubber and miscellaneous plastics products Leather and leather products ........................ 37.6 41.9 43.6 40.9 37.1 37.5 41.8 43.8 40.5 36.5 37.3 41.7 42.7 41.2 35.9 37.7 41.9 43.8 41.4 35.9 36.8 41.9 43.9 39.4 35.3 37.3 41.8 43.7 40.5 36.4 37.4 41.8 43,4 40.7 37.1 37.4 41.7 44.1 40.2 36.9 37.9 41.8 43.6 40.0 36.6 37.9 41.8 44.7 40.5 36.8 37.5 41.7 44.1 40.5 36.5 37.9 42.1 44.8 40.3 36.8 38.1 42.2 43.4 40.7 37.3 37.3 41.6 36.0 40.3 36.9 37.0 41.5 41.9 39.6 36.9 TRANSPORTATION AND PUBLIC UTILITIES 40.0 39.9 39.9 39.8 39.0 396 40.0 40.0 40.3 39.9 39.9 40.2 40.0 39.3 39.3 WHOLESALE AND RETAIL TRADE 329 32.6 32.1 32.4 32.5 32.4 32.9 33.3 33.2 32.7 32.5 32.4 32.9 31.8 31.8 WHOLESALE TRADE 388 38.8 38.4 38.9 38.6 38.9 39.0 39.0 38.9 388 38.9 389 39.1 38.4 38.3 RETAIL TRADE 31.0 30.7 30.1 30.3 30.6 30.4 31.0 31.5 31.4 30.7 30.4 30.4 31.0 29.7 29.7 FINANCE, INSURANCE, AND REAL ESTATE 36.4 36.3 36.4 36.3 36.4 36.1 36.2 36.4 36.2 36.3 363 36.4 36.4 36.3 36.3 32.8 32.7 32.4 32.6 32.5 32.5 32.9 33.3 33.2 32.7 32.6 32.6 32.8 32.5 32.5 SERVICES 82 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 16. Weekly hours, by industry division and major manufacturing group, seasonally adjusted [Gross averages, production or nonsupervisory workers on private nonagricultural payrolls] 1979 Industry division and group TOTAL PRIVATE 1980 Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan.p Feb.p 35.7 35.9 35.3 35.7 35.6 35.6 35.6 35.7 35.6 35.7 35.7 35.6 35.4 MINING 43.1 43.1 42.9 42.8 43.0 41.6 43.2 43.1 43.1 43.2 43.9 44.2 43.5 CONSTRUCTION 36.6 37.1 35.5 37.1 37.2 36.8 37.2 37.5 36.6 36.8 37.1 37.4 36.7 MANUFACTURING Overtime hours............................................ 40.6 3.7 40.6 3.7 39.1 2.7 40.2 3.5 40.1 3.4 40.2 3.3 40.1 3.2 40.2 3.2 40.2 3.2 40.1 3.3 40.2 3.2 40.3 3.2 40.1 3.1 Durable goods Overtime hours............................................ 41.4 4.1 41.4 4.0 39.5 2.7 40.9 3.8 40.7 3.6 40.7 3.5 40.7 3.3 40,7 3.3 40.8 3.3 40.6 3.4 40.7 3.3 40.9 3.3 40.6 3.1 Lumber and wood products ................................ Furniture and fixtures.......................................... Stone, clay, and glass products .......................... Primary metal industries...................................... Fabricated metal products .................................. 39.6 38.8 41.6 42.2 41.3 40.0 39.1 42.0 42.0 41.3 39.1 38.1 41.2 41.8 39.1 39.4 38.5 41.7 41.4 40.7 39.4 38.5 41.6 41.2 40.7 39.3 38.4 41.4 41.3 40.8 39.5 38.3 41.3 41.0 40.6 39.7 38.6 41.5 41.0 40.7 39.4 38.8 41.3 41.1 40.9 38.9 38.9 41.5 40.7 40.7 39.0 39.0 41.6 40,6 41.0 39.8 39.1 41.3 40.7 40.9 38.9 39.0 40.8 40.6 40.8 Machinery, except electrical................................ Electric and electronic equipment........................ Transportation equipment.................................... Instruments and related products ........................ Miscellaneous manufacturing .............................. 42.5 40.7 42.7 41.2 39.0 42.4 40.7 42.3 41.2 39.0 40.5 39.0 37.9 40.3 37.6 42.0 40.4 41.5 40.8 38.6 42.0 40.3 40.8 40.6 38.9 41.9 40.2 40.9 40.7 39.3 41.6 39.8 41.7 40.5 39.1 41.9 40.3 40.6 40.6 39.1 41.6 40.3 41.3 40.7 39.1 41.6 40.6 40.6 41.0 39.1 41.6 40.5 41.0 40.8 39.2 41.6 40.5 41.3 41.6 39.4 41.4 40.3 41.2 40.9 39.6 Nondurable goods Overtime hours............................................ 39.3 3.2 39.4 3.3 38.6 2.7 39.2 3.0 39.2 3.0 39.2 3.0 39.2 3.0 39.3 3.1 39.3 3.0 39.4 3.2 39.4 3.1 39.5 3.1 39.3 3.0 Food and kindred products.................................. Tobacco manufactures ...................................... Textile mill products............................................ Apparel and other textile products ...................... Paper and allied products .................................. 39.8 36.9 40.1 35.4 42.7 40.0 38.0 40.3 35.4 42.8 39.6 37.6 38.8 34.2 41.8 39.8 38.9 40.0 35.2 42.6 39.8 37.6 40.1 35.2 42.5 39.8 38.5 40.1 35.5 42.5 39.7 38.0 40.1 35.3 426 40.0 38.6 40.6 35.3 42.4 39.9 38.3 40.8 35.3 42.6 40.0 37.8 41.1 35.3 42.7 39.9 38.8 41.0 35.6 42.9 39.9 38.5 41.7 35.9 42.8 39.5 36.8 41.2 35.8 42.6 Printing and publishing...................................... Chemicals and allied products ............................ Petroleum and coal products . .......................... Rubber and miscellaneous plastics products ........ Leather and leather products .............................. 37.7 42.0 43.6 41.2 364 37.7 41.9 44.0 41,3 36.3 37.1 41.7 43.9 39.7 35.6 37.4 41.9 43.7 40.9 36.1 37.4 41.7 43.3 40.7 36.4 37.5 41.9 43.6 40.6 36.6 37,7 42.0 43.7 40.2 36.5 37.5 41.7 44,1 40.3 37.0 37.4 41.7 43.7 40.3 36.5 37.6 41.9 44.4 40.0 36.7 37.4 41.7 43.5 39.9 36.9 37.9 41.9 36.5 40.6 37.4 37.4 41.8 42.8 39.6 37.4 TRANSPORTATION AND PUBLIC UTILITIES 40.0 40.0 39.2 39.8 39.8 39.7 39.9 39.9 39.9 40.2 39.8 39.7 39.4 WHOLESALE AND RETAIL TRADE 32.5 32.7 328 32.6 32.6 32.6 32.5 32.6 32.6 32.7 32.6 32.4 32.2 WHOLESALE TRADE 38.7 39.0 38.7 39.0 38.8 388 38.7 38.7 388 38.9 38.9 38.7 38.6 RETAIL TRADE 30.6 30.7 30.9 30.6 30.6 30.6 30.5 30.7 30.6 30.7 30.6 30.4 30.2 FINANCE, INSURANCE, AND REAL ESTATE 36.4 36.4 36.5 36.1 SERVICES 32.6 32.8 32.7 32.7 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis I 36.2 36.3 36.1 36.4 36.2 36.5 36.4 36.2 36.3 32.7 328 32.7 327 32.6 32.7 32.9 32.7 32.7 83 MONTHLY LABOR REVIEW April 1980 • Current Labor Statistics: Establishment Data 17. Hourly earnings, by industry division and major manufacturing group [Gross averages, production or nonsupervisory workers on private nonagricultural payrolls] 1979 Annual average Industry division and group TOTAL PRIVATE.................................................. 1980 1978 1979 Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan.p Feb.» $5.69 $6,16 $6.00 $6.02 $6.03 $6.09 $6.12 $6.16 $6.19 $6.31 $6.32 $6.35 $6.39 $6.42 $6.46 MINING...................................................................... 7.67 8.48 8.21 8.27 8.54 8.45 8.49 8.52 8.48 8.57 8.57 8.70 8.73 8.87 8.91 CONSTRUCTION 8.65 9.26 9.02 8.97 9.02 9.14 9.13 9.24 9.32 9.51 9.49 9.50 9.57 9.49 9.63 .................................................. 6.17 6.69 6.52 6.56 6.54 6.63 6.66 6.71 6.69 6.80 6.82 6.86 6.97 6.95 6.98 Durable goods Lumber and wood products ............................ Furniture and fixtures...................................... Stone, clay, and glass products ...................... Primary metal industries.................................. Fabricated metal products .............................. 6.58 5.60 4.68 6.32 8.20 6.34 7.12 6.08 5.06 6.84 8.97 6.82 6.96 5.83 4.93 6.58 8.75 6.65 6.99 5.84 4.95 6.64 8.75 6.72 6.95 5.90 4.94 6.73 8.92 6.62 7.07 5.97 4.97 6.78 8.83 6.77 7.11 6.16 5.05 6.85 8.91 6.81 7.15 6.23 5.04 6.89 9.04 6.80 7.12 6.23 5.10 6.90 9.10 6.83 7.24 6.32 5.18 6.98 9.16 6.93 7.25 6.24 5.20 7.00 9.10 6.96 7.29 6.23 5.23 7.07 9.26 6.99 7.41 6.25 5.27 7.10 9.28 7.12 7.37 6.20 5.26 7.06 926 706 7.44 6.36 5.29 7.11 9.35 7.12 Machinery, except electrical............................ Electric and electronic equipment .................... Transportation equipment................................ Instruments and related products .................... Miscellaneous manufacturing .......................... 6.77 5.82 7.91 5.71 4.69 7.33 6.31 8.53 6.17 5.04 7.16 6.13 8.35 6.02 4.95 7.19 6.16 8.42 6.04 4.95 7.10 6.11 8.26 6.03 4.96 7.25 6.21 8.56 6.11 5.00 7.34 6.25 8.53 6.11 4.99 7.35 6.27 8.55 6.16 5.03 7.35 6.36 8.44 6.14 5.04 7.48 6.46 8.59 6.21 5.07 7.45 6.48 8.67 6.32 5.12 7.51 6.51 8.68 6.39 5.15 7.65 6.64 8.90 6.49 5.22 7.64 6.66 8.77 6.57 5.30 7.67 6.71 8.83 6.62 5.31 Nondurable goods Food and kindred products.............................. Tobacco manufactures.................................... Textile mill products........................................ Apparel and other textile products .................. Paper and allied products................................ 5.53 580 6.13 4.30 3.94 6.52 6.00 6.27 6.69 4.66 4.24 7.12 5.82 6.10 6.53 4.51 4.17 6.83 5.85 6.12 6.64 4.52 4.19 6.88 5.90 6.19 6.80 4.48 4.19 6.92 5.91 6.22 6.83 4.52 4.20 6.96 5.94 6.22 6.82 4.54 4.21 7.05 6.03 6.28 6.83 4.65 4.23 7.17 6.04 6.28 6.59 4.77 4.21 7.22 6.11 6.33 6.54 4.82 4.28 7.32 6.14 6.36 6.43 4.83 4.32 7.34 6.21 6.51 7.01 4.86 4.32 7.42 6.26 6.56 7.04 4.87 4.39 7.48 6.28 6.63 7.06 4.90 4.44 7.46 6.27 6.66 7.14 4.91 4.43 7.47 Printing and publishing.................................... Chemicals and allied products ........................ Petroleum and coal products .......................... Rubber and miscellaneous plastics products . . . Leather and leather products .......................... 6.50 7.01 8.63 5.52 3.89 6.91 7.59 9.37 5.96 4.23 6.73 7.32 9.10 5.84 4.14 6.77 7.36 9.31 5.86 4.17 6.72 7.50 9.44 5.82 4.18 6.83 7.47 9.39 5.90 4.18 6.88 7.53 9.32 5.91 4.19 6.90 7.60 9.39 5.95 4.19 6.94 7.65 9.35 5.94 4.22 7.04 7.73 9.51 6.03 4.29 7.06 7.82 9.49 6.12 4.31 7.09 7.87 9.57 6.14 4.34 7.17 7.91 9.49 6.21 436 7.21 7.94 9.54 6.25 4.45 7.21 7.95 9.53 6.24 4.46 TRANSPORTATION AND PUBLIC UTILITIES 7.57 8.18 7.92 7.90 7.88 7.94 8.03 8.23 8.32 8.45 8.45 8.52 8.55 8.54 8.57 MANUFACTURING WHOLESALE AND RETAIL TRADE .......................... 4.67 5.06 4.97 4.98 5.00 5.00 5.02 5.05 5.06 5.13 5.15 5.18 5.18 5.34 5.36 WHOLESALE TRADE 5.88 6.39 6.21 6.23 6.30 6.29 6.34 6.39 6.41 6.51 6.51 6.57 6.68 6.72 6.75 4.47 4.49 4.49 4.50 4.51 4.52 458 4.59 4.62 4.61 4.77 4.78 RETAIL TRADE 4.20 4.53 4.47 FINANCE, INSURANCE, AND REAL ESTATE .................................................................. 4.90 5.28 5.19 5.16 5.23 5.22 5.22 5.29 5.29 5.38 5.37 5.42 5.49 5.57 5.61 SERVICES 4.99 5.36 5.27 5.26 5.29 5.27 5.27 5.29 5.30 5.45 5.48 5.54 5.60 5.65 5.68 18. Hourly Earnings Index for production or nonsupervisory workers on private nonagricultural payrolls, by industry division [Seasonally adjusted data: 1967 = 100] 1979 1980 Percent change Industry TOTAL PRIVATE (in current dollars) Mining.......................................... Construction ................................ Manufacturing .............................. Transportation and public utilities . . . Wholesale and retail trade ............ Finance, insurance, and real estate Services ...................................... TOTAL PRIVATE (in constant dollars) 1Not available. 84 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan.p Feb.P Jan. 1980 to Feb. 1980 Feb. 1979 to Feb. 1980 224.0 225.2 226.8 227.5 229.0 230.9 232.2 234.3 234.9 237.3 239.5 240.3 242.2 0.8 8.1 253.7 216.7 227.2 241.7 218.1 204.2 222.2 256.1 216.5 228.7 243.1 219.4 204.8 223.3 264.1 218.1 231.0 241.7 2209 207.5 225.0 262.7 220.4 232.3 243.7 221.0 207.0 224.3 264.9 220.4 233.9 246.4 222.6 208.0 225.7 266.9 222.1 235.4 251.3 223.8 210.8 227.0 2656 223.1 236.9 252.6 225.4 211.5 228.4 266.1 224.4 238.7 255.6 227.0 214.4 231.5 2680 224.0 240.0 255.8 227.4 213,1 232.3 271.6 225.8 242.1 258.9 229.5 216.2 234.7 273.2 227.6 244.3 260.7 231.3 218.5 237.7 274.2 225.4 244.9 260.5 234.5 219.5 238.1 275.5 230.7 247.3 262.0 235.4 220.9 239.2 .5 2.3 1.0 .6 .4 .6 .5 8.6 6.5 8.9 8.4 8.0 8.1 7.7 107.8 107.3 107.0 106.3 105.8 105.6 105.1 104.9 104.1 104.1 103.8 102.7 (’ ) (’ ) 19. Weekly earnings, by industry division and major manufacturing group [Gross averages, production or nonsupervisory workers on private nonagricultural payrolls] Annual average 1979 1980 Industry division and group 1978 TOTAL PRIVATE...................................... 1979 Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan.p Feb.p $203.70 $219.91 $212.40 $214.91 $211.65 $216.20 $219.71 $221.76 $222.84 $225.90 $225.62 $226.06 332.11 364 64 349.75 354.78 363.80 361.66 367.62 355.28 365.49 372.80 374.51 380.19 CONSTRUCTION 318.32 341.69 319.31 331.89 320.21 340.01 346.03 348.35 354.16 360.43 356.82 346.75 355.05 331.20 341.87 MANUFACTURING ............................................ 249.27 268.94 262.10 266.34 254.41 265.86 269.06 267.73 267.60 274.04 274.85 277.14 285.07 276.61 277.11 Durable goods Lumber and wood products .......................... Furniture and fixtures .................................... Stone, clay, and glass products...................... Primary metal industries................................ Fabricated metal products ............................ 270.44 222.88 183.92 262.91 342.76 259.94 290.50 240.16 195.32 283.86 371.36 278.26 286.06 227.37 187.83 267.15 368.38 271.99 289.39 231.85 193.05 277.55 366.63 277.54 273.14 230.69 185.25 276.60 371.96 25686 288.46 236.41 189.85 284.08 365.56 275.54 291.51 247.63 195.94 288.39 370.66 279.21 288.86 245.46 191.52 285.94 373.35 274.04 287.65 248.58 196.86 287.73 371.28 276.62 295.39 253.43 202.02 291.07 378.31 282.74 295.80 248.35 204.36 291.90 372.19 285.36 297.43 241.72 205.02 294.82 376.88 286.59 308.26 245.00 210.27 296.78 379.55 298.33 297.75 238.08 202.51 283.11 375.96 286.64 299.83 243.59 202.61 283.69 378.68 287.65 Machinery except electrical............................ Electric and electronic equipment .................. Transportation equipment .............................. Instruments and related products .................. Miscellaneous manufacturing ........................ 284.34 234.55 333.80 233.54 181.97 306.39 254.29 351.44 251.74 196.06 304.30 248.27 351.54 246.82 191.07 306.29 250.71 356.17 249.45 194.04 286.13 237.07 313.05 241.20 186.50 302.33 249.64 356.10 249.29 192.50 308.28 253.13 352.29 248.68 194.61 302.82 248.29 349.70 248.25 194.66 303.56 252.49 341.82 247.44 196.06 313.41 261.63 349.61 252.75 199.25 309.92 261.14 358.07 257.86 201.22 314.67 266.26 354.14 264.55 203.94 327.42 274.23 379.14 269.98 207.23 316.30 268.40 354.31 270.03 206.70 317.54 269.07 359.38 269.43 208.15 Nondurable goods Food and kindred products............................ Tobacco manufactures.................................. Textile mill products...................................... Apparel and other textile products.................. Paper and allied products.............................. 217.88 230.26 233.55 173.72 140.26 279.71 235.80 250.17 254.22 187.80 149.25 303.31 226.40 239.12 236.39 179.50 145.53 288.23 229.91 242.35 252.98 182.61 148.33 293.09 22538 241.41 255.68 172.93 142.04 287.87 231.08 246.31 265.69 181.25 147.42 295.10 234.04 247.56 265.98 184.32 149.88 302.74 236.38 251.83 246.56 185.54 149.74 304.73 237.98 253.08 247.78 192.23 149.88 307.57 241.96 257.00 255.71 196.66 151.51 312.56 241.92 254.40 249.48 197.06 153.36 312.68 245.92 261.70 273.39 200.72 153.79 318.32 249.77 264.37 278.08 202.11 157.60 325.38 244.92 261.22 264.04 200.41 156.29 317.80 243.28 259.07 257.75 200.82 156.38 314.49 Printing and publishing .................................. Chemicals and allied products........................ Petroleum and coal products ........................ Rubber and miscellaneous plastics products........................................ Leather and leather products ........................ 244.40 293.72 376.27 259.13 31726 410.41 251.03 305.24 38857 255.23 308.38 407.78 247.30 314.25 414.42 254.76 312.25 410.34 257.31 314.75 404.49 258.06 316.92 414.10 263.03 319.77 407.66 266.82 323.11 425.10 264.75 326.09 418.51 268.71 331.33 428.74 273.18 333.80 411.87 268.93 330.30 343.44 266.77 329.93 399.31 225.77 144.32 241.38 154.40 240.61 148.63 242.60 149.70 229.31 147.55 238.95 152.15 240.54 155.45 239.19 154.61 237.60 154.45 244.22 157.87 247.86 157.32 247,44 159.71 252.75 162.63 251.88 164.21 247.10 164.57 TRANSPORTATION AND PUBLIC UTILITIES 302.80 32638 316.01 314.42 307.32 314.42 321.20 329.20 335 30 337.16 337.16 342.50 342.00 335.62 336.80 WHOLESALE AND RETAIL TRADE 153.64 164.96 159.54 161.35 162.50 162.00 165.16 168.17 167.99 167.75 167.38 167.83 170.42 169.81 170.45 WHOLESALE TRADE 228.14 247.93 238.46 242.35 243.18 244,68 247.26 249.21 249.35 252.59 253.24 255.57 261.19 258.05 258.53 RETAIL TRADE 130.20 139.07 134.55 135.44 137.39 136.50 139.50 142.07 141.93 140.61 139.54 140.45 142.91 141.67 141.97 FINANCE, INSURANCE, AND REAL ESTATE 178.36 191.66 188.92 187.31 190.37 188.44 188.96 192.56 191.50 195.29 194.93 197.29 199.84 202.19 203.64 SERVICES 163.67 175.27 170.75 171.48 171.93 171.28 173.38 176.16 175.96 178.22 178.65 180.60 183.68 183.63 184.60 MINING ............................................................ https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis $229,40 $225.34 383.25 383.18 $226.75 383.13 85 MONTHLY LABOR REVIEW April 1980 • Current Labor Statistics: Establishment Data 20. Gross and spendable weekly earnings, in current and 1967 dollars, 1960 to date [Averages for production or nonsupervisory workers on private nonagricultural payrolls] Private nonagricultural workers Year and month Gross average weekly earnings Manufacturing workers Spendable average weekly earnings Worker with no dependents Married worker with 3 dependents Gross average weekly earnings Spendable average weekly earnings Worker with no dependents Married worker with 3 dependents Current dollars 1967 ' dollars Current dollars 1967 dollars Current dollars 1967 dollars Current dollars 1967 dollars Current dollars 1967 dollars Current dollars 1967 dollars $80.67 $90.95 $65.59 $73.95 $72.96 $82.25 $89.72 $101.15 $72.57 $81.82 $80.11 $90.32 1961 1962 1963 1964 1965 .......................................... .......................................... .......................................... .......................................... .......................................... 82.60 85.91 88.46 91.33 95.45 92.19 94.82 96.47 98.31 101.01 67.08 69.56 , 71.05 75.04 79.32 74.87 76.78 77.48 80.78 83.94 74.48 76.99 78.56 82.57 86.63 83.13 84.98 85.67 88.88 91.67 92.34 96.56 99.23 102.97 107.53 103.06 106.58 108.21 110.84 113.79 74.60 77.86 79.51 84.40 89.08 83.26 85.94 86.71 90.85 94.26 82.18 85.53 87.25 92.18 96.78 91.72 94.40 95.15 99.22 102.41 1966 1967 1968 1969 1970 .......................................... .......................................... ........................................ .......................................... .......................................... 98.82 101.84 107.73 114.61 119.83 101.67 101.84 103.39 104.38 103.04 81.29 83.38 86.71 90.96 96.21 83.63 83.38 83.21 82.84 82.73 88.66 90.86 95.28 99.99 104.90 91.21 90.86 91.44 91.07 90.20 112.19 114.49 122.51 129.51 133.33 115.42 114.49 117.57 117.95 114.64 91.45 92.97 97.70 101.90 106.32 94.08 92.97 93.76 92.81 91.42 99.33 100.93 106.75 111.44 115.58 102.19 100.93 102 45 101.49 99.38 1971 1972 1973 1974 1975 .......................................... .......................................... .......................................... .......................................... .......................................... 127.31 136.90 145.39 154.76 163.53 104.95 109.26 109.23 104.78 101.45 103.80 112.19 117.51 124.37 132.49 85.57 89.54 88.29 84.20 82.19 112.43 121.68 127.38 134.61 145.65 92.69 97.11 95.70 91.14 90.35 142.44 154.71 166.46 176.80 190.79 117.43 123.47 125.06 119.70 118.36 114.97 125.34 132.57 140.19 151.61 94.78 100.03 99.60 94.92 94.05 124.24 135.57 143.50 151.56 166.29 102.42 108.20 107.81 102.61 103.16 1976 1977 1978 1979 .......................................... .......................................... .......................................... .......................................... 175.45 189.00 203.70 219.91 102.90 104.13 104.30 101.02 143.30 155.19 165.39 178.00 84.05 85.50 84.69 81.76 155.87 169.93 180.71 194.82 91.42 93.63 92.53 89.49 209.32 228.90 249.27 268.94 122.77 126.12 127.63 123.54 167.83 183.80 197.40 212.43 98.43 101.27 101.08 97.58 181.32 200.06 214.87 232.07 106.35 110.23 110.02 106.60 1979: February.......................... March .............................. 212.40 214.91 102.56 102.68 172.53 174.35 83.31 83.30 188.98 190.93 91.25 91.22 262.10 266.34 126.56 127.25 207.69 210.65 100.28 100.65 220.89 230.10 109.56 109.94 April ................................ May ................................ June ................................ 211.65 216.20 219.71 99.93 100.89 101.30 171.98 175.29 177.85 81.20 81.80 82.00 188.39 191.93 194.67 88.95 89.56 89.75 254.41 265.86 269.06 120.12 124.06 124.05 202.32 210.04 212.51 95.52 98.14 97.98 221.05 229.74 232.17 104.37 107.20 107.04 July.................................. August ............................ September ...................... 221.76 222.84 225.90 101.08 100.60 100.98 179.35 180.13 182.36 81.75 81.32 81.52 196.26 197.11 199.42 89.45 88.99 89.15 267.73 267.60 274.04 122.03 120.81 122.50 211.61 211.52 215.89 96.45 95.49 96.51 231.16 231.06 235.94 105.36 104.32 105.47 October............................ November........................ December........................ 225.62 226 06 229.40 100.01 99.32 99.74 182.16 182,48 184.84 80.74 80.18 80.37 199.21 199.54 202 08 88.30 87.67 87.86 27485 277.14 285.07 121.83 121.77 123.94 216.44 217.99 223.38 95.94 95.78 97.12 236.56 238.30 244.31 104.86 104.70 106.22 1980. January0 .......................... February0 ........................ 225.34 226.75 96.59 <’ ) 181.96 182.98 77.99 (’ ) 199.00 200.07 85.30 (’ ) 276.61 277.11 118.56 (’ ) 217.64 217.97 93.29 (’ ) 237.89 238.27 101.97 (’ ) 1960 .......................................... 'Not available. NOTE: The earnings expressed in 1967 dollars have been adjusted for changes in price level as measured by the Bureau's Consumer Price Index for Urban Wage Earners and Clerical Workers. 86 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis These series are described in "The Spendable Earnings Series: A Technical Note on its Cal culation", Employment and Earnings and Monthly Report on the Labor Force, February 1969, pp. 6-13, See also “ Spendable Earnings Formulas, 1978-80" Employment and Earnings, March 1980, pp. 10-11. U NEM PLO YM ENT INSURANCE DATA U n e m p l o y m e n t i n s u r a n c e d a t a are compiled monthly by the Employment and Training Administration of the U.S. De partment of Labor from records of State and Federal unem ployment insurance claims filed and benefits paid. Railroad unemployment insurance data are prepared by the U.S. Rail road Retirement Board. ployed. Persons not covered by unemployment insurance (about onethird of the labor force) and those who have exhausted or not yet earned benefit rights are excluded from the scope of the survey. I n i tia l c la im s are notices filed by persons in unemployment insurance programs to indicate they are out of work and wish to begin receiv ing compensation. A claimant who continued to be unemployed a full week is then counted in the insured unemployment figure. The r a te o f in s u r e d u n e m p lo y m e n t expresses the number of insured unem ployed as a percent of the average insured employment in a 12-month period. Definitions An a p p lic a tio n for benefits is filed by a railroad worker at the be ginning of his first period of unemployment in a benefit year; no ap plication is required for subsequent periods in the same year. N u m b er o f p a y m e n ts are payments made in 14-day registration periods. The a v e r a g e a m o u n t o f b e n e fit p a y m e n t is an average for all com pensable periods, not adjusted for recovery of overpayments or set tlement of underpayments. However, to t a l b e n e f it s paid have been adjusted. Data for a ll p r o g r a m s represent an unduplicated count of insured unemployment under the State, Ex-Servicemen, and UCFE programs, and the Railroad Insurance Act. Under both State and Federal unemployment insurance programs for civilian employees, insured workers must report the completion of at least 1 week of unemployment before they are defined as unem 21. Unemployment Insurance and employment service operations [All items except average benefits amounts are in thousands] 1979 Item All programs: Insured unemployment...................... State unemployment insurance program:1 Initial claims2 .................................... Insured unemployment (average weekly volume) ............................ Rate of insured unemployment .......... Weeks of unemployment compensated ................................ Average weekly benefit amount for total unemployment.................. Total benefits paid ............................ Unemployment compensation for exservicemen:3 Initial claims' .................................... Insured unemployment (average weekly volume) ............................ Weeks of unemployment compensated ................................ Total benefits paid ............................ Unemployment compensation for Federal civilian employees:4 Initial claims...................................... Insured unemployment (average weekly volume) ............................ Weeks of unemployment compensated ................................ Total benefits paid ............................ Railroad unemployment insurance: Applications...................................... Insured unemployment (average weekly volume) ............................ Number of payments ........................ Average amount of benefit payment........................................ Total benefits paid ............................ Employment service:5 New applications and renewals Jan. Mar. Feb. Apr. May 1980 July Aug. Sept. Oct. Nov. Dec. 3,198 3,209 2,921 2,610 2,230 2,119 2,429 2,377 2,164 2,236 2,559 3,047 2,421 1,576 1,396 1,589 1,309 1,400 1,978 1,545 1,219 1,641 1,826 2,246 3,037 3.9 3,053 4.0 2,750 3.6 2,440 3.1 2,078 2.6 1,991 2.5 2,300 2.8 2,245 2.7 2,024 2.4 2,057 2.4 2,384 2.8 2,864 3.4 11,371 10,762 11,105 8,956 8,442 7,197 7,889 8,830 6,993 7,638 8,151 9,149 $88.28 $972,820 $90.31 $915,146 $90.28 $975,641 $89.25 $777,699 $88.37 $725,229 $87.25 $610,269 $86.40 $665,687 $88.56 $767,025 $89.07 $606,095 $90.59 $673,965 $92.23 $731,273 $94.52 $841,643 24 21 21 20 20 24 28 28 23 26 24 24 54 53 52 48 45 45 51 52 52 52 54 56 262 $24,425 219 $20,489 241 $22,794 207 $19,617 214 $20,440 193 $18,623 216 $20,965 234 $23,861 211 $19,634 236 $23,325 232 $23,143 233 $23,083 21 13 12 12 12 13 16 13 13 18 15 15 Jan. 3,740 3,537 4.1 60 37 35 33 27 24 23 2.5 25 25 28 29 31 158 $14,222 133 $12,256 143 $13,168 112 $10,345 106 $9,330 91 $8,341 96 $8,802 107 $9,829 91 $8,453 109 $10,093 118 $11,088 117 $11,120 8 6 5 3 3 9 15 8 13 11 10 11 22 26 50 24 50 23 23 18 40 10 29 8 19 11 20 12 26 21 32 18 51 20 36 19 41 40 80 $200.80 $9,634 $200.54 $9,871 $204.72 $10,538 $195.55 $7,276 $177.39 $5,681 $183.13 $3,314 $190.10 $3,699 $195.61 $3,767 $189.08 $5,747 $189.61 $8,003 $183.38 $6,462 $197.22 $8,085 $199.01 $14,967 8,059 1,991 9,180 2,291 10,452 2,616 11,907 3,051 13,186 3,482 14,479 3,935 5,630 1,414 'Initial claims and State insured unemployment include data under the program for Puerto Rican sugarcane workers. 2 Includes Interstate claims for the Virgin Islands. Excludes transition claims under State programs. 3 Excludes data on claims and payments made jointly with other programs. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis June . 34 4 Includes the Virgin Islands. Excludes data on claims and payments made jointly with State programs. 5Cumulative total for fiscal year (October 1 - September 30). NOTE: Data for Puerto Rico included. Dashes indicate data not available. 87 PRICE DATA P r i c e d a t a are gathered by the Bureau of Labor Statistics from retail and primary markets in the United States. Price indexes are given in relation to a base period (1967 = 100, unless otherwise noted). Definitions The C o n s u m e r P r ic e I n d e x is a monthly statistical measure of the average change in prices in a fixed market basket of goods and ser vices. Effective with the January 1978 index, the Bureau of Labor Sta tistics began publishing CPI’s for two groups of the population. One index, a new CPI for All Urban Consumers, covers 80 percent of the total noninstitutional population; and the other index, a revised CPI for Urban Wage Earners and Clerical Workers, covers about half the new index population. The All Urban Consumers index includes, in addition to wage earners and clerical workers, professional, manageri al, and technical workers, the self-employed, short-term workers, the unemployed, retirees, and others not in the labor force. The CPI is based on prices of food, clothing, shelter, fuel, drugs, transportation fares, doctor’s and dentist’s fees, and other goods and services that people buy for day-to-day living. The quantity and quali ty of these items is kept essentially unchanged between major revi sions so that only price changes will be measured. Prices are collected from over 18,000 tenants, 24,000 retail establishments, and 18,000 housing units for property taxes in 85 urban areas across the country. All taxes directly associated with the purchase and use of items are included in the index. Because the CPI’s are based on the expendi tures of two population groups in 1972-73, they may not accurately reflect the experience of individual families and single persons with different buying habits. Though the CPI is often called the “Cost-of-Living Index,” it mea sures only price change, which is just one of several important factors affecting living costs. Area indexes do not measure differences in the level of prices among cities. They only measure the average change in prices for each area since the base period. P r o d u c e r P r ic e I n d e x e s measure average changes in prices received in primary markets of the United States by producers of commodities in all stages of processing. The sample used for calculating these in dexes contains about 2,800 commodities and about 10,000 quotations per month selected to represent the movement of prices of all com modities produced in the manufacturing, agriculture, forestry, fishing, mining, gas and electricity, and public utilities sectors. The universe includes all commodities produced or imported for sale in commercial transactions in primary markets in the United States. Producer Price Indexes can be organized by stage of processing or by commodity. The stage of processing structure organizes products by degree of fabrication (that is, finished goods, intermediate or semifinished goods, and crude materials). The commodity structure organizes products by similarity of end-use or material composition. To the extent possible, prices used in calculating Producer Price In dexes apply to the first significant commercial transaction in the Unit ed States, from the production or central marketing point. Price data are generally collected monthly, primarily by mail questionnaire. 88 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Most prices are obtained directly from producing companies on a vol untary and confidential basis. Prices generally are reported for the Tuesday of the week containing the 13th day of the month. In calculating Producer Price Indexes, price changes for the vari ous commodities are averaged together with implicit quantity weights representing their importance in the total net selling value of all com modities as of 1972. The detailed data are aggregated to obtain in dexes for stage of processing groupings, commodity groupings, dura bility of product groupings, and a number of special composite groupings. P r ic e in d e x e s fo r th e o u tp u t o f s e le c t e d SIC in d u s tr ie s measure av erage price changes in commodities produced by particular industries, as defined in the S ta n d a r d I n d u s tr ia l C la ssifica tio n M a n u a l 1 9 7 2 (Washington, U.S. Office of Management and Budget, 1972). These indexes are derived from several price series, combined to match the economic activity of the specified industry and weighted by the value of shipments in the industry. They use data from comprehensive in dustrial censuses conducted by the U.S. Bureau of the Census and the U.S. Department of Agriculture. Notes on the data Beginning with the May 1978 issue of the R ev ie w , regional CPI’s cross classified by population size, were introduced. These indexes will enable users in local areas for which an index is not published to get a better approximation of the CPI for their area by using the appropri ate population size class measure for their region. The cross-classified indexes will be published bimonthly. (See table 24.) For further details about the new and the revised indexes and a comparison of various aspects of these indexes with the old unrevised CPI, see F a cts A b o u t th e R e v is e d C o n s u m e r P ric e I n d e x , a pamphlet in the Consumer Price Index Revision 1978 series. See also T h e C o n s u m e r P ric e I n d e x : C o n c ep ts a n d C o n te n t O v e r th e Years. Report 517, revised edition (Bureau of Labor Statistics, May 1978). For interarea comparisons of living costs at three hypothetical stan dards of living, see the family budget data published in the H a n d b o o k o f L a b o r S ta tistic s, 1977, Bulletin 1966 (Bureau of Labor Statistics, 1977), tables 122-133. Additional data and analysis on price changes are provided in the C P I D e ta ile d R e p o r t and P r o d u c e r P ric e s a n d P rice In d e x es, both monthly publications of the Bureau. As of January 1976, the Wholesale Price Index (as it was then called) incorporated a revised weighting structure reflecting 1972 val ues of shipments. From January 1967 through December 1975, 1963 values of shipments were used as weights. For a discussion of the general method of computing consumer, producer, and industry price indexes, see B L S H a n d b o o k o f M e th o d s f o r S u rv e y s a n d S tu d ie s, Bulletin 1910 (Bureau of Labor Statistics, 1976), chapters 13-15. See also John F. Early, “Improving the mea surement of producer price change,” M o n th ly L a b o r R ev ie w , April 1978, pp. 7-1 5 . For industry prices, see also Bennett R. Moss, “In dustry and Sector Price Indexes,” M o n th ly L a b o r R eview , August 1965, pp. 974-82. 22. Consumer Price index for Urban Wage Earners and Clerical Workers, annual averages and changes, 1967-79 [1967 = 100] Food and beverages All items Year Index 1967 1968 1969 1970 Percent change Index Percent change Apparel and upkeep Housing Index Percent change Transportation Percent change Index Index Percent change Medical care Index Other goods and services Entertainment Percent change Percent change Index Index Percent change .................. .................. .................. .................. 100.0 104 2 109.8 116.3 4.2 5.4 5.9 100.0 103.6 108.8 114.7 3.6 5.0 5.4 100.0 104.0 110.4 118.2 4.0 6.2 7.1 100.0 105.4 111.5 116.1 5.4 5.8 4.1 100.0 103.2 107.2 112.7 3.2 3.9 5.1 100.0 106.1 113.4 120.6 6.1 6.9 6.3 100.0 105.7 111.0 116.7 5.7 5.0 5.1 100.0 105.2 110.4 116.8 5.2 4.9 5.8 1971.................. 1972 .................. 1973 .................. 1974 .................. 1975 .................. 121.3 125.3 133.1 147.7 161.2 4.3 3.3 6.2 11.0 9.1 118.3 123.2 139.5 158.7 172.1 3.1 4.1 13.2 13.8 8.4 123.4 128.1 133.7 148.8 164.5 4.4 3.8 4.4 11.3 10.6 119.8 122.3 126.8 136.2 142.3 3.2 2.1 3.7 7.4 4.5 118.6 119.9 123.8 137.7 150.6 5.2 1.1 3.3 11.2 9.4 128.4 132.5 137.7 150.5 168.6 6.5 3.2 3.9 9.3 12.0 122.9 126.5 130.0 139.8 152.2 5.3 2.9 2.8 7.5 8.9 122.4 127.5 132.5 142.0 153.9 4.8 4.2 3.9 7.2 8.4 1976 1977 1978 1979 170.5 181.5 195.3 217.7 5.8 6.5 7.6 11.5 177.4 188.0 206.2 228.7 3.1 6.0 9.7 10.9 174.6 186.5 202.6 227.5 6.1 6.8 8.6 12.3 147.6 154.2 159.5 166.4 3.7 4.5 3.4 4.3 165.5 177.2 185.8 212.8 9.9 7.1 4.9 14.5 184.7 202.4 219.4 240.1 9.5 9.6 8.4 9.4 159.8 167.7 176.2 187.6 5.0 4.9 5.1 6.5 162.7 172.2 183.2 196.3 5.7 5.8 6.4 7.2 .................. .................. .................. .................. 23. Consumer Price Index for All Urban Consumers and revised CPI for Urban Wage Earners and Clerical Workers, U.S. city average— general summary and groups, subgroups, and selected items [1967 = 100 unless otherwise specified] All Urban Consumers General summary Urban Wage Earners and Clerical Workers (revised) 1979 1980 1979 1980 Jan. Aug. Sept. Oct. Nov. Dec. Jan. Jan. Aug. Sept. Oct. Nov. Dec. Jan. All items...................................................................................... 204.7 221.1 223.4 225.4 227.5 229.9 233.2 204.7 221,5 223.7 225.6 227.6 230.0 233.3 Food ano beverages .................................................................... Housing........................................................................................ Apparel and upkeep...................................................................... Transportation.............................................................................. Medical care ................................................................................ Entertainment .............................................................................. Other goods and services.............................................................. 218.3 213.1 160.7 193.9 230.7 182.3 190.5 230.2 231.5 166.3 219.6 241.8 190.2 197.0 231.0 234.6 169.8 221.4 243.7 191.1 201.7 232.1 237.7 171.0 222.7 245.9 192.0 202.3 233.1 240.8 171.7 224.9 248.0 192.8 202.9 235.5 243.6 172.2 227.7 250.7 193.4 204.0 237.5 247.3 171.0 233.5 253.9 195.3 206.3 218.3 212.8 161.1 194.5 230.2 182.1 190.3 230.4 231.5 166.2 220.7 242.6 188.9 197.2 231.2 234.5 169.3 222.4 244.7 190.2 200.6 232.3 237.7 170.8 223.4 247.2 191.4 201.4 233.1 240.7 171.3 225.7 249.1 192.0 202.0 235.7 243.6 171.4 228.3 251.7 192.3 203.0 237.8 247.3 169.8 234.1 254.9 193.9 206.0 Commodities................................................................................ Commodities less food and beverages .................................... Nondurables less food and beverages.................................. Durables............................................................................ 195 8 183.0 182.3 182.0 212.2 200.9 208.8 193.6 214.1 203.3 213.2 194.5 215.6 204.9 214.9 196.0 217.4 206.9 216.6 198.4 219.4 208.8 219.0 199.8 222.4 212.0 224.6 201.3 195.9 183.0 182.8 181.7 212.6 201.3 210.5 192.9 214.4 203.5 214.8 193.5 215.8 205.0 216.6 194.8 217.4 206.9 218.1 1969 219.4 208.7 220.5 198.2 222.3 212.0 226.3 199 6 Services ...................................................................................... Rent, residential.................................................................. Household services less rent .............................................. Transportation services........................................................ Medical care services.......................................................... Other services.................................................................... 221.1 23 7.6 24 0.7 2 4 3.6 24 6.2 2 4 9.3 253.1 2 2 1.0 23 7.9 2 4 1.0 24 4.0 24 6.7 24 9.6 2 5 3.6 170.3 247.5 204.3 248.3 192.8 177.5 272.8 214.9 260.6 200.5 179.0 276.7 216.6 262.8 204.7 181.4 280.7 218.5 265.3 205.7 182.1 284.6 221.5 267.6 206.5 182.9 289.2 224.2 270.7 207.1 184.1 295.1 226.8 274.4 209.0 170.3 247.7 204.9 247.4 193.2 177.3 274.1 215.3 261.2 201.2 178.9 278.2 216.8 263.8 204.9 181.2 282.3 218.6 266.8 206.4 181.9 286.3 221.5 268.8 207.3 182.7 291.1 224.0 271.8 207.4 183.9 297.2 226.6 275.6 209.3 All items less food ........................................................................ All items less mortgage interest costs ............................................ Commodities less food.................................................................. Nondurables less food .................................................................. Nondurables less food and apparel................................................ Nondurables ................................................................................ Services less rent ........................................................................ Services less medical care............................................................ Domestically produced farm foods ................................................ Selected beef cuts........................................................................ Energy ........................................................................................ All items less energy .................................................................... All items less food and energy ............................................ Commodities less food and energy.................................... Energy commodities ........................................................ Services less energy........................................................ 199 8 200.3 181.9 180.3 193.7 201.0 230.4 216.8 213.3 2291 231.5 202.9 197.0 177.3 2264 219.7 216.9 214.7 199.5 205,4 228.3 220.4 248.8 233.6 223.5 253.0 296.3 215.4 209,4 186 8 314.5 235.4 219.6 216.7 201.8 209.6 232.7 223.1 252.1 236.7 223.7 255.3 304.3 217.3 211.5 188.2 325.3 238.4 221.8 218.3 203.4 211.3 234.8 224.5 255.1 239.6 224.1 257.3 307.5 219.2 213.6 189.6 329.0 241.3 224.1 219.8 205.4 212.9 236.8 225.8 258.2 242.3 224.5 256.5 307.8 221.4 216.1 191.4 332.5 244.6 226.4 221.7 207.2 215.2 240.1 228.2 261.6 245.3 227.5 263.2 313.7 2236 218.1 192.6 340.0 247.6 229.9 224.3 210.4 220.5 248.6 232.0 266.1 249.2 229.2 265.7 3279 225.9 220.6 193.7 361.5 251.6 199.7 200.4 181.9 180.8 193.9 201.4 230.3 216.8 213.3 231.4 231.8 202.9 196.8 177.2 226.9 219.6 217.3 215.3 199.9 207.0 229.7 221.3 249.2 233.9 223.4 255.5 2988 215.3 2090 186.4 315.8 235.7 219.8 217.2 202.0 211.0 234.2 223.9 252.6 236.9 223.6 258.0 307.0 217.0 211.0 187.5 326.5 238.7 222.0 218.7 203.5 212.9 236.3 225.3 255.7 239.9 224.0 259.1 310.2 218.8 213.0 188.7 330.2 241.7 224.2 220.1 205.4 214.4 238.2 226.5 258.8 242.6 224,4 259.2 310.7 221.0 215.4 190.4 333.8 245.1 226.4 222.0 207.1 216.7 241.5 229.0 262.1 245.5 227.5 265.2 317.0 223.0 217.3 191.4 341.5 248.0 230.0 224.7 210.3 222.1 250.2 232.9 266.7 249.5 229.0 268.1 331.5 225.3 219.6 192.4 362.8 252.2 Purchasing power of the consumer dollar, 1967 = $1 .................... $0,489 $0,452 $0,448 $0,444 $0,440 $0,435 $0,429 $0 489 $0,451 $0,447 $0,443 $0,439 $0,435 $0,429 Special Indexes: https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 89 MONTHLY LABOR REVIEW April 1980 • Current Labor Statistics: Consumer Prices 23. Continued— Consumer Price Index — U.S. city average [1967 =100 unless otherwise specified] Urban Wage Earners and Clerical Workers (revised) All Urban Consumers General summary FOOD AND BEVERAGES 1980 1979 1980 1979 Jan. Aug. Sept. Oct. Nov. Dec. Jan. Jan. Aug. Sept. Oct. Nov. Dec. Jan. 218.3 230.2 231.0 232.1 233.1 235.5 237.5 218.3 230.4 231.2 232.3 243.8 223.9 236.5 237.3 238.3 233.1 235.7 237.8 239.1 241.8 244.0 Food .................................................................................................. 223.9 236.3 237.1 238.2 239.1 241.7 Food at home ...................................................................................... Cereals and bakery products................................ , ....................... Cereals and cereal products (12/77 = 100).............................. Flour and prepared flour mixes (12/77 = 100).................... Cereal (12/77 - 100) ...................................................... Rice, pasta, and cornmeal (12/77 = 100) .......................... Bakery products (12/77 - 100) .............................................. White bread...................................................................... Other breads (12/77 - 100) ............................................ Fresh biscuits, rolls, and muffins (12/77 = 100).................. Fresh cakes and cupcakes (12/77 = 100) ........................ Cookies (12/77 = 100) .................................................... Crackers and bread and cracker products (12/77 = 100) .. Fresh sweetrolls, coffeecake, and donuts (12/77 = 100) . .. Frozen and refrigerated bakery products and fresh pies, tarts, and turnovers (12/77 = 100) .......... 223.1 210.0 112.6 113.0 112,1 112.9 110.6 184.7 111.0 111.8 108.9 110.6 106.5 108.3 233.9 223.7 118.5 122.5 118.0 115.7 118.3 198.4 118.6 118.1 116.6 115.6 114.7 117.5 234.7 225.6 120.0 123.4 118.8 118.6 119.2 200.7 119.6 119.0 116.7 115.9 114.8 118.8 235.4 227.0 120.8 124.0 119.2 120.4 119.9 202.5 120.5 119.4 117.6 116.6 115.0 118.9 236.0 228.7 121.1 122.8 119.7 121.6 121.0 204.5 121.3 121.2 119.4 117.1 114.5 119.9 238.7 231.6 122.9 123.8 122.8 122.2 122.4 207.4 123.3 123.1 120.3 117.8 116.2 121.5 240.6 234.2 125.0 125.7 123.7 126.4 123.5 208.6 123.8 124.8 121.7 119.7 117.5 122.2 222.9 210.9 112.8 114.1 112.2 112.3 111.2 185.3 112.7 111.5 109.5 111.7 106.9 110.1 233.5 224.1 119.0 123.3 118.5 115.8 118.5 198.0 120.8 117.7 116.3 117.2 114.9 119.3 234.2 226.6 120.6 125.1 118.7 119.1 119.7 200.5 122.5 118.6 116.8 117.8 114.9 121.6 234.8 227.9 121.4 125.0 119.3 120.8 120.3 202.3 123.8 118.7 118.1 118.3 115.0. 120.7 235.4 229.7 122.1 124.6 119.9 122.7 121.3 203.9 124.2 120.8 119.1 118.4 116.1 121.9 238.3 232.3 123.8 125.1 122.9 123.9 122.7 206.6 126.0 122.3 120.1 119.6 116.3 123.4 240.1 234.7 126.1 126.9 124.2 127.9 123.6 207.4 126.9 123.1 120.8 121.5 118.4 124.1 111.9 120.8 121.7 122.5 123.7 124.8 125.7 111.0 117.1 118.6 118.8 120.8 121.4 122.5 Meats, poultry, fish, and eggs.......................................................... Meats, poultry, and fis h ............................................................ Meats .............................................................................. Beef and veal................................................................ Ground beef other than canned .................................. Chuck roast .............................................................. Round roast .............................................................. Round steak .............................................................. Si'ioir steak .............................................................. Other beef and veal (12/77 = 100) ............................ Pork.............................................................................. Bacon ........................................................................ Pork chops ................................................................ Ham other than canned (12/77 = 100)........................ Sausage .................................................................... Canned ham .............................................................. Other pork (12/77 - 100).......................................... Other meats.................................................................. Frankfurters .............................................................. Bologna, liverwurst, and salami (12/77 = 100) ............ Other lunchmeats (12/77 = 100)................................ Lamb and organ meats (12/77 = 100)........................ Poultry ............................................................................ Fresh whole chicken .................................................. Fresh and frozen chicken parts (12/77 = 100) ............ Other poultry (12/77 = 100) ...................................... Fish and seafood .............................................................. Canned fish and seafood (12/77 = 100)...................... Fresh and frozen fish and seafood (12/77 = 100)........ Eggs.......................................................................... 223.3 227.0 230.2 235.8 231.0 236.0 230.3 235.9 230.2 235.2 235.5 239.8 238.0 243.0 223.3 226.9 229.6 235.3 230.5 235.4 229.7 235.3 230.0 235.0 235.1 239.2 237.5 242.5 2 2 7.6 2 3 7.8 238.1 2386 23 7.4 2 4 2.3 244.1 2 2 7.5 2 3 7.6 2 3 7.7 238.1 2 3 7.3 24 1.8 24 3.7 227.7 235.7 233.3 206.2 214.2 219.6 130.3 226.7 221.2 213.7 110.2 275.9 235.0 125.0 223.7 218.8 122.9 117.0 121.3 181.2 179.8 114.9 121.3 290.4 108.4 111.9 180.4 251.9 260.3 257.5 222.2 238.1 247.5 145.0 207.4 192.5 195.3 96.4 263.8 221.1 118.3 243.5 241.9 134.3 122.7 137.6 177.1 171.3 112.1 123.0 306.5 112.7 119.2 161.8 254.2 261.4 261.0 229.2 239.2 251.0 145.6 206.5 194.0 198.1 95.2 258.4 216.6 117,4 240.2 235.9 133.2 121.6 135.6 174.8 169.9 111.8 119.2 309.7 113.9 120.4 170.7 256.2 263.4 263.3 230.3 242.2 250.4 147.1 204.3 190.5 195.1 94.8 257.6 218.2 115.2 240.7 236.8 134.2 120.3 137.7 170.3 159.7 110.1 120.3 311.5 115.2 120.7 161.3 255.5 264.2 263.1 229.1 241.9 247.0 146.3 201.0 1863 188.8 95.9 254.5 2148 112.9 242.0 238.9 133.4 121.6 138.3 171.6 166.7 110.8 115.9 312.2 116.8 120.1 170.1 262.2 271.2 268.1 238.1 247.5 250.8 150.2 205.0 193.6 187.8 102.5 256.5 218.9 112.6 243.0 239.3 134.4 121.5 140.0 176.2 175.2 112.3 116.9 312.6 117.1 120.2 185.9 264.6 271.4 274.7 241.9 249.8 250.9 151.8 206.4 194.5 192.1 99.1 256.6 220.8 116.2 243.2 239.0 134.1 121.2 141.6 187.8 191.1 120.7 119.3 316.7 118.5 121.9 178.2 229.8 237.5 241.0 208.4 214.2 219.0 130.9 226.0 222.6 212.7 109.3 273.9 235.6 123.8 220.8 216.6 120.8 115.1 121.6 179.5 176.4 115.5 119.8 288.5 107.8 111.2 181.2 254.1 261.9 264.0 225.9 235.4 247.3 146.0 207.6 195.0 196.2 94.9 263.2 218.9 118.4 239.9 242.6 129.7 120.8 137.9 174.3 166.7 111.1 122.1 301.4 111.5 116.9 160.5 256.4 263.5 267.9 231.0 235.7 253.9 146.6 206.1 195.6 196.1 94.3 258.4 215.3 117.5 236.6 236.1 129.5 119.0 136.9 172.8 165.8 110.9 119.8 304.4 113.5 117.5 170.5 257.5 265.8 268.3 233.0 239.4 249.6 147.0 204.7 194.4 194.9 94.0 258.1 215.8 115.1 238.0 237.7 130.7 118.8 138.8 168.3 157.7 108.4 119.8 306.5 114.5 118.1 160.3 257.7 266.0 273.1 232.7 239.7 247.4 146.6 201.5 188.7 188.1 95.4 255.8 214.6 112.7 238.5 237.2 130.4 119.5 139.8 170.1 163.3 110.7 116.0 307.5 116.0 117.8 169.6 263.7 273.0 274.2 240.5 246.2 253.5 149.9 205.6 195.8 189.1 100.9 258.3 219.1 112.7 239.5 238.7 130.8 119.4 141.7 173.9 169.8 111.8 117.4 309.1 116.5 118.5 186.6 266.7 272.7 283.6 245.1 249.4 253.5 151.9 206.8 195.3 194.8 96.5 260.3 219.3 116.2 239.3 239.5 130.5 118.7 142.5 184.3 183.8 118.7 120.1 315.4 118.4 121.2 177.0 Dairy Products ........................................................................ Fresh milk and cream (12/77 = 100) ................................ Fresh whole milk............................................................ Other fresh milk and cream (12/77 = 100) .................... Processed dairy products (12/77 = 100)............................ Butter............................................................................ Cheese (12/77 = 100).................................................. Ice cream and related products (12/77 = 100)................ Other dairy products (12/77 = 100) .............................. 198.4 111.8 183.5 110.9 112.7 195.8 112.9 111.8 110.1 2086 117.7 192.8 117.4 118.2 203.0 118.4 1178 115.4 211.3 119.0 195.4 118.1 120.1 209.9 120.1 120.1 115.5 213.3 120.3 197.6 119.2 1209 213.3 121.0 120.4 116.4 216.0 121.9 200.4 120.6 122.3 214.4 122.7 121.4 117.8 216.9 122.7 201.2 122.0 122.5 214.0 122.6 122.6 117.9 218.4 123.2 202.3 122.1 123.8 216.9 123.5 124.0 119.8 198.7 111.7 183.1 111.1 113.2 197.0 112.9 113.1 110.8 208.9 117.9 193.0 117.7 118.4 205.7 118.4 118.1 115.4 212.0 119.5 195.6 119.3 120.5 212.3 120.2 120.7 115.6 214.0 120.4 197.4 119.8 121.7 216.6 121.1 121.9 116.9 216.3 121.8 199.7 121.1 123.0 217.1 122.5 123.4 118.2 217.4 122.6 200.9 122.2 123.3 216.6 122.7 124.3 118.3 218.9 123.2 201.8 122.8 124.5 219.8 123.6 125.6 120.4 Fruits and vegetables .............................................................. Fresh fruits and vegetables................................................ Fresh fruits.................................................................... Apples ...................................................................... Bananas .................................................................... Oranges .................................................................... Other fresh fruits (12/77 = 100) ................................ Fresh vegetables .......................................................... Potatoes ...................................................................... Lettuce...................................................................... Tomatoes .................................................................. Other fresh vegetables (12/77 = 100) ........................ 221 6 224.3 209.1 205.8 179.2 2504 104.1 2386 191.4 342.0 218.7 124.3 237.8 247.5 286.9 275.2 202.3 316.2 157.5 210.7 211.4 235.7 187.0 113.8 231.8 234.7 271.6 244.7 210.3 312.3 147.1 200.3 199.3 219.6 178.5 109.5 232.0 235.5 260.4 212.7 206.6 3067 143.9 212.2 191.1 262.9 194.4 114.0 229.5 230.1 242.7 207.2 209.0 293.9 127.5 218.4 195.7 244.2 225.3 119.1 230.2 230.1 234.9 221.8 225.2 256.7 121.1 225.7 207.0 227.5 227.9 128.0 229.8 227.2 233.6 230.4 221.9 236.2 122.5 221.2 203.8 197.6 216.7 132.0 219.6 221.6 205.6 202.0 177.3 242.6 103.0 236.2 193.1 335.7 216.8 122.7 237.0 247.9 288.9 275.9 202.5 298.6 163.5 211.0 212.1 240.3 185.6 113.3 229.6 232.9 271.2 243.1 208.4 291.8 152.3 198.4 193.4 222.9 179.2 108.0 230.2 233.6 260.6 212.9 199.7 290.3 149.7 209.4 183.8 264.2 194.1 112.5 226.7 226.7 238.3 207.7 206.5 283.3 125.7 216.4 191.7 239.0 225.4 118.9 228.3 228.5 233.3 220.2 222.0 249.5 121.6 224.2 199.6 231.3 224.8 128.1 227.2 224.9 232.7 230.1 219.5 231.3 122.7 217.9 200.9 193.2 213.2 130.5 Processed fruits and vegetables ........................................ Processed fruits (12/77 = 100)...................................... Frozen fruit and fruit juices (12/77 = 100) .................. Fruit juices and other than frozen (12/77 = 100).......... Canned and dried fruits (12/77 = 100)........................ Processed vegetables (12/77 = 100) ............................ Frozen vegetables (12/77 = 100) .............................. 220.7 114.4 113.1 111.5 118.6 107.4 107.0 229.2 119.7 115.5 117.9 125.0 110.7 109.7 230.6 120.6 116.3 119.3 125.5 111.2 109.8 230.1 120.4 116.3 119.8 124.6 110.9 110.2 231.0 121.2 116.6 122.1 124.2 110.9 110.2 232.3 121.8 116.8 123.6 124.2 111.7 110.6 234.7 122.9 117.2 125.1 125.3 113.0 111.9 219.3 114.3 112.6 112.1 118.1 106.5 106.8 226.9 119.0 114.4 118.2 123.8 109.5 109.9 227.9 119.8 114.9 119.7 123.9 109.9 109.4 228.3 120.3 115.2 120.7 124.0 109.8 110.2 228.6 121.1 115.7 122.4 124.0 109.4 109.6 230.0 121.3 115.9 123.4 123.5 110.5 110.8 231.8 122.4 116.5 124.5 124.8 111.2 111.4 90 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 23. Continued— Consumer Price Index— U.S. city average [1967 = 100 unless otherwise specified] All Urban Consumers General summary Urban Wage Earners and Clerical Workers (revised) 1979 1980 1979 1980 Jan. Aug. Sept. Oct. Nov. Dec. Jan. Jan. Aug. Sept. Oct. Nov. Dec. Jan. Fruits and vegetables— Continued Cut corn and canned beans except lima (12/77=100) . . . Other canned and dried vegetables (12/77=100)............ Other foods at hom e...................................................................... Sugar and sweets.......................................................................... Candy and chewing gum (12/77=100) .................................... Sugar and artificial sweeteners (12/77=100)...................... Other sweets (12/77=100) .............................................. Fats and oils (12/77-100) ...................................................... Margarine ........................................................................ Nondairy substitutes and peanut butter (12/77=100) .......... Other fats, oils, and salad dressings (12/77=100) .............. Nonalcoholic beverages .......................................................... Cola drinks, excluding diet c o la .......................................... Carbonated drinks, including diet cola (12/77=100)............ Roasted coffee ................................................................ Freeze dried and instant coffee.......................................... Other noncarbonated drinks (12/77=100).......................... Other prepared foods .............................................................. Canned and packaged soup (12/77=100).......................... Frozen prepared foods (12/77=100).................................. Snacks (12/77-100)........................................................ Seasonings, olives, pickles, and relish (12/77=100)............ Other condiments (12/77-100) ........................................ Miscellaneous prepared foods (12/77-100) ...................... Other canned and packaged prepared foods (12/77=100) .. 111.0 105.8 260.0 268.2 112.7 113.2 108.8 218.1 233.6 108.9 112.6 345.4 230.1 111.6 363.0 340.2 111.2 200.1 108.2 112.2 109.6 112.5 109.2 111.2 111.8 113.9 109.7 272.8 281.0 119.4 115.6 114.6 228.9 240.3 114.0 119.7 361.8 239.2 116.2 411.7 349.5 114.2 210.5 113.2 120.7 115.7 115.9 115.2 116.3 116.8 114.7 110.1 276.0 282.0 119.7 115.9 115.3 231.5 245.5 114.6 120.6 367.7 242.7 117.9 425.9 359.9 114.0 212.6 113.1 123.1 118.4 117.4 115.9 116.8 116.7 113.6 109.9 278.0 283.1 119.9 119.0 115.9 231.9 244.4 115.1 121.1 372.1 246.4 118.5 432.4 366.5 114.8 213.4 113.4 123.1 119.6 118.8 115.8 117.2 116.7 113,4 110.0 279.6 283.2 120.1 116.2 116.4 232.3 246.2 115.1 121.0 374.3 247.5 118.4 438.1 370.2 115.7 215.3 114.3 124.5 120.4 118.9 116.8 119.0 1177 114.4 110.9 281.1 284.6 120.1 117.2 117.5 233.0 247.7 115.7 121.1 375.4 247.2 118.7 4407 374.3 116.3 217.4 115.9 125.6 121.3 120.1 119.5 118.9 118.6 114.5 112.9 283.5 289.8 121.3 122.2 118.7 233.9 248.3 115.3 121.9 378.5 249.5 119.9 443.2 378.2 116.8 218.8 116.5 126.0 121.8 121.4 120.8 119.6 119.4 109.9 104.6 259.4 267.6 112.6 113.1 107.9 219.1 234.1 109.0 113.3 344.3 228.4 109.5 362.6 340.2 109.9 199.9 107.9 111.4 110.5 112.0 109.7 111.3 110.9 112.0 108.1 271.8 279.9 c 119.0 115.5 113.6 2289 239.8 114.0 119.6 360.0 236.9 114.2 406.1 349.4 113.0 210.4 113.3 118.7 116.4 115.4 116.2 116.3 116.7 112.6 108.7 274.7 281.2 119.3 116.4 114.0 230.7 242.8 114.5 120.4 365.0 240.1 115.7 418.2 358.9 112.7 212.4 113.3 121.1 119.0 116.3 117.5 116.3 116.7 111.9 108.5 276.5 282.2 119.6 116.9 114.8 231.9 244.9 114.6 121.0 368.2 242.0 116.1 424.4 365.3 113.5 213.4 113.3 122.0 120.6 117.6 117.0 116.7 116.9 111.8 108.1 278.3 281.9 119.8 116.2 114.6 232.8 246.7 115.0 121.3 370.7 243.6 115.6 430.8 369.3 114.8 215.7 114.8 122.9 121.7 118.2 118.5 118.6 118.0 113.0 109.1 279.9 284.1 119.9 117.6 116.6 233.7 247.8 115.8 121.5 372.3 243.4 116.4 435.3 372.9 115.5 217.2 116.3 123.9 122.2 119.0 120.2 118.7 118.6 112.7 110.4 2826 289.6 121.2 122.7 117.5 234.9 248.8 116.1 122.3 375.6 246.5 116.4 440.1 376.8 116.2 219.1 116.8 125.1 122.8 121.1 121.4 119.7 119.5 Food away from home.......................................................................... Lunch (12/77-100) ...................................................................... Dinner (12/77-100) ...................................................................... Other meals and snacks (12/77=100)............................................ 230.2 112.3 111.6 110.9 246.5 120.3 119.8 117.8 247.6 120.7 120.3 118.6 249.6 121.3 121.6 119.5 251.3 122.3 122 4 120.2 253.4 123.3 123.4 121.4 256.1 124.6 124.8 122.5 230.6 112.4 111.7 111.2 248.3 121.3 120.5 119.1 249.3 121.7 120.9 119.9 251.3 122.2 122.4 120.5 252.7 123.2 123.0 120.9 255.1 124.0 124.2 122.5 258.0 125.7 125.6 123.7 Alcoholic beverages .......................................................................... 166.0 173.3 174.2 176.0 177.4 178.0 179.3 166.1 173.6 174.9 176.9 178.0 178.7 179.7 Alcoholic beverages at home (12/77=100)............................................ Beer and a le .................................................................................. Whiskey ........................................................................................ Wine.............................................................................................. Other alcoholic beverages (12/77=100).......................................... Alcoholic beverages away from home (12/77=100)................................ 107.8 160.8 124.4 187.0 104.2 110.6 112.7 170.6 128.4 196.0 105.4 114.6 113.3 172.3 129.0 195.2 105.5 115.1 114.6 175.1 129.4 198.0 105.9 115.9 115.6 176.9 130.7 198.1 107.0 116.4 116.0 177.8 130.8 199.1 106.9 116.8 116.8 179.0 131.6 201.6 107.1 118.0 108.5 161.5 125.2 191.1 103.3 107.8 113.4 170.3 129.9 199.4 105.1 112.8 114.3 171.8 130.4 202.7 105.3 113.4 115.7 175.2 131.0 202.5 105.9 114.2 116.5 176.9 131.9 201.5 106.2 114.9 117.0 177.6 132.0 204.0 106.4 115.2 117.6 178.8 132.9 203.8 106.4 115.9 FOOD AND BEVERAGES-Continued Food— Continued Food at home— Continued MOUSING............................................................................................ 213.1 231.5 234.6 237.7 240.8 243.6 247.3 212.8 231.5 234.5 237.7 240.7 243.6 247.3 Shelter................................................................................................ 222.8 243.9 247.4 251.5 255.9 259.4 264.0 222.9 244.5 248.2 252.4 256.9 260.4 265.1 Rent, residential.................................................................................... 170.3 177.5 179.0 181.4 182.1 182.9 184.1 170.3 177.3 178.9 181.2 181.9 182.7 183.9 Other rental costs ................................................................................ Lodging while out of town................................................................ Tenants' insurance (12/77=100) .................................................... 221.3 230.4 104.5 238.2 251.2 112.0 239.3 251.8 113.7 241.6 254.2 114.1 243.1 256.2 114.6 244.9 258.4 115.1 251.1 267.0 116.2 221.2 229.8 104,6 237.6 249.5 112.6 238.6 249.9 114.1 241.3 253.0 114.7 242.6 254.6 115.0 244.4 256.9 115.5 251.1 266.1 116.8 Homeownership.................................................................................... Home purchase.............................................................................. Financing, taxes, and insurance ...................................................... Property insurance .................................................................. Property taxes ........................................................................ Contracted mortgage interest c o s t............................................ Mortgage interest rates...................................................... Maintenance and repairs ................................................................ Maintenance and repair services .............................................. Maintenance and repair commodities ........................................ Paint and wallpaper, supplies, tools, and equipment (12/77=100) ................................................ Lumber, awnings, glass, and masonry (12/77=100)............ Plumbing, electrical, heating, and cooling supplies (12/77=100).................................................... Miscellaneous supplies and equipment (12/77=100) .......... 241.6 208.1 276.6 293.0 179.9 328.2 155.1 245.2 265.1 198.7 267.6 226.9 316.4 314.6 183.1 387.2 167.7 259.7 281.8 208.1 271.9 229.8 323.0 316.7 184.7 396.7 169.7 262.5 284.4 211.5 276.7 233.4 330.5 319.9 185.1 408.1 172.0 264.7 287.0 212.5 282.4 237.3 340.1 320.8 185.1 423.1 175.4 266.4 288.8 214.0 286.9 239.9 348.3 323.1 186.0 435.3 178.3 268.3 290.4 216.6 292.5 242.1 359.8 327.7 186.7 452.8 183.7 270.6 293.2 217.6 242.0 207.9 277.9 292.6 181.3 328.0 155.2 244,5 265.0 198.4 268.9 227.0 318.7 314.2 184.6 387.4 167.8 260.8 284.2 209.0 273.3 230.0 325.6 318.5 186.1 397.1 169.7 263.4 287.2 2108 278.3 233.6 333.5 321.9 186.5 408.8 172.0 265.3 289.4 211.9 284.1 237.7 343.5 322.6 186.6 424.2 175.6 266.5 290.3 213.6 288.7 240.2 351.6 324.5 187.4 436.1 178.4 268.9 292.8 215.8 294.6 242.3 363.4 328.8 188.2 453.7 183.8 271.9 295.9 218.4 109.1 108.7 114.3 113.7 117.0 115.2 117.4 116.0 118.8 115.5 121.6 115.4 122.5 115.9 109.1 109.4 115.0 114.8 116.1 115.7 116.6 116.2 118.1 117.2 120.3 118.1 122.2 118.6 105.3 107.2 110.8 111.1 111.9 112.9 112.8 113.3 113.4 113.8 114.7 114.3 114.7 115.4 105.7 104.9 111.5 110.3 112.6 111.2 113 8 111.9 114.0 112.2 114.5 112.3 117.0 113.2 Fuel and other utilities........................................................................ 221.5 247.2 251.2 252.9 252.0 255.1 258.6 221.7 247.7 251.7 253.4 252.4 255.7 259.2 Fuels .................................................................................................. Fuel oil, coal, and bottled gas.......................................................... Fuel o il.................................................................................... Other fuels (6/78 = 100) ........................................................ Gas (piped) and electricity .............................................................. Electricity................................................................................ Utility (piped! gas .................................................................... 256.3 3164 318.8 99.7 239.5 204.0 282.8 299.7 438.6 458.2 109.3 266.5 229.2 309.7 306.6 461.6 482.5 114.4 270.1 230.6 317.5 310.3 470.8 491.2 118.5 272.5 228.7 329.1 307.0 477.4 497.2 121.7 267.3 221.5 328.9 311.8 488.0 507.3 126.0 270.8 224.7 332.6 318.0 514.0 534.4 132.7 273.0 226.6 335.1 256.3 316.6 319.0 99.7 239.5 204.3 281.7 299.8 439.0 458.5 109.4 266.5 299.7 308.5 306.6 462.5 483.3 114.6 269.9 231.1 315.8 310.1 471.7 491.9 118.8 272.2 228.8 327.4 306.9 478.2 497.7 122.2 267.1 221.5 327.8 311.8 489.0 508.1 126.6 270.7 224.9 331.1 318.1 515.1 534.9 133.7 273.0 226.8 333.8 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 91 MONTHLY LABOR REVIEW April 1980 • Current Labor Statistics: Consumer Prices 23. Continued— Consumer Price Index— U.S. city average [1967 = 100 unless otherwise specified] Urban Wage Earners and Clerical Workers (revised) All Urban Consumers General summary 1979 1980 1979 1980 Jan. Aug. Sept. Oct. Nov. Dec. Jan. Jan. Aug. Sept. Oct. Nov. Dec. Jan. 159.0 132.5 100.6 98.7 100.9 239.3 159.8 132.5 100.5 98.5 101.5 244.6 159.8 132.4 100.4 98.4 101.4 245.3 158.8 131.2 98.7 98.4 101.7 245.6 161.0 133.3 101.8 98.4 101.5 247.1 161.9 134.3 103.2 98.4 101.5 247.2 161.5 133.4 102.6 97.7 100.8 250.0 159.1 132.5 100.7 98.8 100.9 239.6 159.8 132.5 100.6 98.5 101.4 244.6 159.8 132.4 100.5 98.4 101.3 245.5 158.9 131.3 98.8 98.4 101.5 245.8 160 9 133.3 101.8 98.4 101.3 247.2 161.8 134.2 103.2 98.4 101.3 247.3 161.5 133.4 102.6 97.7 100.6 250.5 HOUSING-Continued Fuel and other utilities—Continued Other utilities and public services ............................................................ Telephone services .......................................................................... Local charges (12/77 = 100) . ................................................ Interstate toll calls (12/77 =100) .............................................. Intrastate toll calls (12/77 = 100) .............................................. Water and sewerage maintenance .................................................... Household furnishings and operations ................................................ 184.8 191.2 192.2 193.3 195.1 195.8 1969 183.6 1898 190.6 191.7 193.2 193.9 194,9 Housefurnishings .................................................................................... Textile housefurnishings.................................................................... Household linens (12/77 - 100) ................................................ Curtains, drapes, slipcovers, and’sewing materials (12/77 = 100) . Furniture and bedding ...................................................................... Bedroom furniture (12/77 - 100) .............................................. Sofas (12/77 - 100) ................................................................ Living room chairs and tables (12/77 = 100) .............................. Other furniture (12/77 - 100).................................................... Appliances including TV and sound equipment.................................... Television and sound equipment (12/77 = 100) .......................... Television ................................................................ Sound equipment (12/77 - 100) ........................................ Household appliances................................................................ Refrigerators and home freezer............................................ Laundry equipment (12/77 - 100) ...................................... Other household appliances (12/77 - 100).......................... Stoves, dishwashers, vacuums, and sewing machines (12/77 = 100).............................................. Office machines, small electric appliances, and air conditioners (12/77 = 100)................................ Other household equipment (12/77 = 100)........................................ Floor and window coverings, infants’ laundry cleaning and outdoor equipment (12/77 - 100) ...................... Clocks, lamps, and decor items (12/77 = 100) .......................... Tableware, serving pieces, and nonelectric kitchenware (12/77 = 100) .................................................... Lawn equipment, power tools, and other hardware (12/77 = 100) . 158.9 167.1 101.1 107.3 171.6 109.3 103.0 103.1 109.5 133.9 103.8 102.9 105.6 152.1 150.2 107.4 107.1 163.2 172.8 103.6 112.0 177.1 114.0 106.3 104 9 112.7 135.8 104.3 102.8 106.8 155.5 154.6 110.7 108.6 164.1 175.3 106.7 112.0 178.3 114.8 107.1 105.1 113.9 136.2 104.7 102.9 107.5 155.8 154.1 110.9 109.1 165.2 177.8 107.7 114.2 180.0 116.4 107.3 106.2 115.0 136.9 104.9 103.4 107.4 156.9 155.3 112.1 109.8 166.6 178.9 108 8 114.4 182.2 117.7 107.9 107.7 116.8 137.5 105.0 103.6 107.4 158.2 156.0 113.1 1108 166.9 178.6 108.3 114.6 182 8 118.3 108.2 108.1 117.1 137.5 105.3 103.6 107.8 157.9 156.7 113.6 109.9 167.6 176.7 105.4 115.1 184 0 119.1 108.2 108.9 118.1 137.8 105.3 103.7 107.8 158.5 156.7 114.1 110.5 158.5 168.5 102.4 108.1 171.1 107.8 104.1 103 8 108.6 133.3 102.9 101.9 104.8 151.9 152.7 107.0 106.0 163.0 173.0 103.7 112.7 177.3 112.7 108.2 106.1 112.5 135.5 104.0 101.9 106.7 155.1 157.9 110.2 107.1 163.5 174.9 106.3 112.2 178.5 113.0 108.6 106.7 114.2 135.7 104.4 101.9 107.4 155.2 156.5 111.2 107.2 164.4 177.2 107.4 114.1 180.3 114.8 109.6 107.5 114.7 135.7 104.1 102.0 106.9 155.6 157 9 111.3 107.2 165.5 178.4 108.3 114.5 182.1 115.9 111.7 108.6 115.3 136.2 104.4 102.4 107.1 156.2 158.1 112.2 107.6 165.9 177.3 107.2 114.4 182.7 116.0 111.6 109.2 115.9 136.9 104.8 102.2 108.0 157.1 159.0 112.8 108.2 166.5 175.3 106.0 113.2 183.6 116.8 110.6 109.4 117.8 137.2 104.9 102.2 108.2 157.7 159.4 113.8 108.6 108.5 108.5 108.6 109.0 109.7 108 6 110.0 107.2 107.7 107.7' 106.9 107.1 108.1 109.2 105.4 106.5 108.8 110.7 109.7 110.9 110.7 111.2 112.1 112.4 111.4 113.0 111.1 114.6 104.6 106.2 106.4 110.6 106.8 110.3 107.6 110.8 108.2 111.6 108.3 111.8 107.8 113.3 106.0 103.0 109.5 107.1 111.1 108.0 109.8 108.6 111.1 110.0 111.7 110.1 113.1 111.6 102.5 103.8 105.9 106.7 105.8 107.0 105.5 107.1 107.7 108.2 107.4 107.3 108 9 109.4 109.5 105.4 115.1 108.5 114.7 107.6 115.4 108.5 116.8 109.0 117.2 110.3 119.9 110.6 108.7 106.7 113.9 111.5 114.5 109.5 114.7 111.0 115.2 111.1 115.2 112.5 117.3 113.0 Housekeeping supplies............................................................................ Soaps and detergents ...................................................................... Other laundry and cleaning products (12/77 = 100) .......................... Cleansing and toilet tissue, paper towels and napkins (12/77 = 100) .. Stationery, stationery supplies, and gift wrap (12/77 = 100) .............. Miscellaneous household products (12/77 = 100).............................. Lawn and garden supplies (12/77 = 100).......................................... 215.9 209.0 108.0 112.5 105.7 109.5 107.0 223.4 212.5 112.0 116.2 109.5 112.9 113.8 224.1 215.1 112.3 116.4 109.9 113.3 112.7 224.8 217.9 113.7 117.2 109.5 114.3 110.0 228.3 220.6 114.1 119.2 111.3 115.6 113.8 229.2 221.2 114.7 120.5 111.9 116.9 112.5 231.1 224.1 116.1 120.6 111.6 117.7 114.4 214.9 207.6 107.4 112,4 104.7 108.0 107.2 221.6 210.9 111.9 116.3 108.5 111.3 111.3 222.6 214.5 112.4 117.1 108.3 111.6 109.9 223.9 216.3 113.5 117.9 108.6 112.7 108.8 226.7 218.2 113.7 119.6 109.2 114.1 113.2 227.2 219.7 114.5 120.9 109.3 114.7 109.9 228.8 222.2 115.6 121.8 109.0 115.0 111.3 Housekeeping services............................................................................ Postage .......................................................................................... Moving, storage, freight, household laundry, and drycleaning services (12/77 = 100) .............................................. Appliance and furniture repair (12/77 = 100) .................................... 239.6 257.3 251.6 257.3 253.4 257.3 254.6 257.3 256.6 257.3 258.1 257.3 260.0 257.3 238.5 257.2 250.4 257.2 252.1 257.2 2539 257.2 2559 257.2 257.5 257.2 259.2 257.2 1094 106.4 117.3 1107 118.1 111.7 118.8 112.3 120.4 112.9 121.2 113.4 122 9 114.0 109.9 105.5 117.7 110.3 118.6 111.1 119.7 112.1 121.2 112.9 122.3 113.4 123.3 114,4 APPAREL AND UPKEEP........................................................................ 160.7 166.3 169.8 171.0 171.7 172 2 171.0 161.1 166.2 169.3 170.8 171.3 171.4 169.8 Apparel commodities............................................................................ 155.8 160.6 164.2 165.2 165.9 166.1 164.3 156.4 160.7 163.9 165.3 165.7 165.7 163.6 Apparel commodities less footwear.................................................... Men's and boys’ .............................................................................. Men’s (12/77 = 100) ................................................................ Suits, sport coats, and jackets (12/77 = 100) ...................... Coats and jackets (12/77 = 100)........................................ Furnishings and special clothing (12/77 = 100) .................... Shirts (12/77 = 100) .......................................................... Dungarees, jeans, and trousers (12/77 = 100) .................... Boys’ (12/77 = 100) ................................................................ Coats, jackets, sweaters, and shirts (12/77 = 100) .............. Furnishings (12/77 = 100) .................................................. Suits, trousers, sport coats, and jackets (12/77 =100) ........ Women’s and girls' .......................................................................... Women’s (12/77 = 100)............................................................ Coats and jackets .............................................................. Dresses .............................................................................. Separates and sportswear (12/77 = 100)............................ Underwear, nightwear, and hosiery (12/77 = 100)................ Suits (12/77 = 100)............................................................ Girls (12/77 = 100) .................................................................. Coats, jackets, dresses, and suits (12/77 = 100).................. Separates and sportswear (12/77 = 100)............................ Underwear, nightwear, hosiery, and accessories (12/77 = 100).............................................. 153.6 157.4 997 97.7 95.3 104.8 101.5 98.6 99.9 93.2 105.8 102.9 146.9 98.0 158.0 156.9 97.1 102.7 88.9 96.1 92.8 95.6 157.7 159.6 100.6 97.1 95.5 109.3 103.2 98.1 103.3 101.1 107.9 103.1 151.3 100.7 170.4 162.8 96.3 106.2 89.8 100.5 100.8 98.3 161.5 162.7 102.7 100.0 96.5 110.6 107.2 99.0 104.8 102.7 109.4 104.5 155.9 103.9 174.1 171.1 99.8 106.2 96.7 102.4 102.8 100.9 162.3 164.2 103.5 101.6 97.8 109.9 108.5 99.5 106.3 103.9 110.8 106.5 155.5 103.4 173.9 167.2 99.6 106 6 97.1 103.6 102.8 102.5 162.9 165.4 104.3 101.2 98.1 112.4 109.7 100.5 106.6 103.2 111.5 107.4 155.1 103.0 173.3 164,3 99.2 108.1 95.2 103.9 102 2 103.6 163.0 165.4 104.3 100.9 98.0 112.3 110.5 100.4 106.6 102.4 111.9 107.8 154.6 102.8 170.0 165.3 96.6 108.2 95.8 102.8 100.3 102.6 161.1 162.8 102.6 98.8 95.5 112.2 108.6 982 105.6 99.3 111.5 108.2 151.5 100.8 166.4 161.3 96.1 108.6 91.0 100.5 97.5 99.9 154.3 158.1 100.3 96.6 98.4 104.1 101.5 100.7 99.5 92.9 105.6 102.3 147.2 98.5 159.2 158.1 96.0 103.4 91.0 95.2 92.1 94.7 157.9 161.1 101.9 96.2 99.2 107.0 104.9 101.9 102.7 100.3 107.0 102.9 150.5 100.4 173.1 152.8 97.7 107.0 91.0 98.8 95.9 997 161.2 163.2 103.2 98.3 99.1 108.6 107.1 102.5 103.9 102.0 108.8 103.5 154.4 103.0 175.7 158.5 100.4 107.4 98.1 101.1 98.5 102.1 162.4 164.4 103.8 99.1 99.5 109.1 108.3 102.8 105.3 103.8 110.1 104.7 154.8 103.3 174.1 159.1 100.4 107,9 99.9 101.5 97,9 103.5 162.7 165.3 104.5 98.7 99.7 110.0 109.4 104.0 105.6 103.4 109.7 105 8 154.5 103.0 172.4 156.8 100.7 108.9 97.5 101.7 97,5 104.3 162.6 165.0 104.2 968 99.1 109.9 111.5 103.4 105.8 103.1 110.2 106.2 153.5 102.3 167.9 155.7 99.5 109.3 98.1 101.4 97.7 102.9 160.2 162.4 102.3 94.9 95.6 109.3 108.3 102.2 104.7 99.8 109.7 106.6 149.9 1001 165.0 150.0 97.1 109.1 94.0 97.9 91.9 998 102 5 1041 105.7 106.7 107.2 107.3 106.7 101.0 101.8 103.5 103.9 104.2 1044 104.4 92 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 23. Continued— Consumer Price Index— U.S. city average [1967 = 100 unless otherwise specified] Urban Wage Earners and Clerical Workers (revised) All Urban Consumers General summary 1980 1979 1980 1979 Jan. Aug. Sept Oct Nov. Dec. Jan. Jan. Aug. Sept. Oct Nov. Dec. Jan. Apparel commodities less footwear—Continued Infants' and toddlers’ ...................................................................... Other apparel commodities ............................................................ Sewing materials and notions (12/77 - 100) ............................ Jewelry and luggage (12/77 = 100) ........................................ 215.9 161.9 98.7 107.2 221.2 169.8 102.3 113.0 223.4 172.6 102.3 115.6 224.8 175.5 102.2 118.3 226.3 177.8 100.8 121.0 227.1 180.9 102.4 123.1 224.9 184.4 103.2 126.1 215.6 165.0 98.7 110.4 224.2 170.2 96.8 116.1 226.0 174.9 100.4 118.9 228.7 178.7 100.8 122.3 228.7 179.8 99.7 123.8 230.5 182.9 100.8 126.2 229.1 185.5 101.2 128.4 Footwear.............................................................................................. Men’s (12/77 - 100) .................................................................... Boys’ and girls’ (12/77 = 100) ...................................................... Womens’ (12/77 = 100)................................................................ 168.7 106.5 106.1 104.8 177.5 114.5 112.0 108.1 180.1 115.0 111.6 112.0 182.6 116.7 113.0 113.5 183.8 117.7 114.0 113.9 184.3 117.3 115.8 113.8 183.7 117.8 117.3 111.6 168.0 106.7 105.9 103.5 176.9 115.2 111.4 106.5 179.4 116.3 111.6 109.6 181.9 118.0 113.0 111.1 183.2 119.1 114.5 111.2 183.8 119.4 114.7 111.8 183.3 119.3 116.9 109.4 Apparel services ................................................................................ Laundry and drycleaning other than coin operated (12/77 = 100)............ Other apparel services (12/77 - 100) .................................................. 194.6 112.6 107.4 207.7 122.1 111.9 210.2 123.6 113.0 212.5 125.2 114.0 214.2 126.3 114.7 216.6 127.1 117.0 220.7 129.3 119.6 194.1 112.4 107.8 206.7 121.8 111.5 208.7 123.2 112.3 210.8 124.7 112.9 212.0 125.7 113.3 213.4 126.6 113.7 216.9 129.0 115.1 APPAREL AND UPKEEP - Continued Apparel commodities — Continued TRANSPORTATION ............................................................................ 193.9 219.6 221.4 222.7 224.9 227.7 233.5 194.5 220.7 222.4 223.4 225.7 228.3 234.1 Private................................................................................................ 193.9 220.4 222.0 223.1 225.0 227.5 233.5 194.2 221.2 222.7 223.7 225.7 228.2 234.1 New cars ............................................................................................ Used c a rs ............................................................................................ Gasoline .............................................................................................. Automobile maintenance and repair........................................................ Body work (12/77 - 100).............................................................. Automobile drive train, brake, and miscellaneous mechanical repair (12/77 - 100) ................................................ Maintenance and servicing (12/77 = 100) ...................................... Power plant repair (12/77 = 100) .................................................. Other private transportation .................................................................. Other private transportation commodities ........................................ Motor oil, coolant, and other products (12/77 - 100) ................ Automobile parts and equipment (12/77 = 100)........................ Tires ................................................................................ Other parts and equipment (12/77 = 100) ........................ Other private transportation services................................................ Automobile insurance .............................................................. Automobile finance charges (12/77 = 100) .............................. Automobile rental, registration, and other fees (12/77 = 100) . . . State registration .............................................................. Drivers' license (12/77 = 100) .......................................... Vehicle inspection (12/77 = 100) ...................................... Other vehicle related fees (12/77 = 100) .......................... 161.2 193.6 209.1 231.3 110.4 166.6 207.0 292.0 245.7 118.6 166.1 202.9 301.0 247.1 119.4 167.5 199.9 303.8 249.1 120.6 170.6 198.4 306.9 250.8 121.6 171.7 198.2 313.9 252.6 123.3 173.9 197.2 334.6 255.1 125.0 160.8 193.6 209.5 231.7 111.2 166.3 207.0 293.3 246.0 118.6 165.9 202.9 302.3 247.5 119.2 167.4 199.9 305.2 249.4 120.4 170.9 198.4 308.3 251.1 121.7 171.7 198.3 315.6 253.4 123.1 174.1 197.2 335.9 256.2 124.3 110.8 109.8 109.2 191.4 165.6 105.4 107.3 147.9 107.8 200.1 221.8 111.1 104.6 143.8 104.5 110.2 108 6 117.4 116.3 116.0 200.5 175.1 112.2 113.4 154.7 116.7 209.1 232.3 117.2 107.5 144.0 104.5 114.6 115.5 118.1 116.9 116.7 201.7 177.7 114.4 114.9 156.4 119.1 210.1 233.5 117.7 107.8 144.0 104.5 114.6 116.1 119.4 117.5 117.8 203.7 182.0 115.9 117.9 160.7 121.8 211.4 233.8 120.4 107.9 144.0 104.5 114.6 116.4 120.1 118.4 118.5 205.5 183.4 117.4 118.7 161.5 123.0 213.4 233.9 124.6 108.3 144.1 104.5 115.6 117.1 120.6 119.2 119.2 207.5 185.6 118.1 120.3 163.8 124.4 215.3 235.3 127.2 108.5 144.1 104.5 117.5 117.6 121.8 120.2 120.4 209.8 188.4 120.9 121.9 165.8 126.6 217.6 237.1 129.9 109.1 144.2 104.7 117.5 118.8 111.6 109.2 109.7 192.0 168.1 105.8 109.1 150.7 109.1 200.2 221.9 110.1 105.0 143.6 104.3 111.4 111.2 118.2 116.0 116.3 201.0 176.1 112.0 114.1 156.1 116.8 209.6 232.3 116.4 108.1 143.9 104.3 115.5 119.3 119.0 116.8 117.0 202.3 178.7 114.5 115.7 158.1 118.6 210.6 233.5 117.0 108.4 143.9 104.3 115.5 120.3 120.2 117.3 118.0 204.0 181.6 115.9 117.6 161.1 120.0 211.9 233.7 119.4 108.6 143.9 104.2 115.5 120.8 120.8 118.2 118.6 206.3 183.9 118.1 119.0 163.0 121.5 214.3 233.9 124.1 108.9 144.0 104.2 116.5 121.3 121.8 .119.3 119.6 208.4 186.4 119.3 120.6 165.7 122.4 216.3 235.2 126.5 109.2 144.0 104.2 118.3 122.2 123.6 120.4 120.9 210.6 188.0 122.4 121.4 166.3 124.0 218.7 236.8 129.4 109.8 144.1 104.5 118.3 123.8 Public.................................................................................................. 190.0 200.8 205.2 209.1 216.5 223.0 226.8 190.9 200.6 204.1 207.3 214.0 219.1 221.9 Airline fare.......................................................................................... Intercity bus fare .................................................................................. Intracity mass transit ............................................................................ Taxi fare .............................................................................................. Intercity train fare.................................................................................. 189.8 243.9 186.4 208.6 192.8 205.2 263.2 190.5 224.7 220.6 214.1 268.0 190.5 228.5 221.0 220.6 276.0 191.3 233.6 221.1 232.1 279.8 195.6 237.0 231.0 245.5 282.2 196.4 238.5 236.3 251.1 284.7 198.5 243.1 237.2 189.4 244.1 186.3 213.0 192.8 205.2 263.0 190.2 230.3 220.8 214.2 268.0 190.2 233.9 221.3 220.7 275.5 191.0 238.7 221.4 232.4 279.9 195.1 242.4 232.1 245.8 282.3 195.7 243.9 236.6 251.0 284.8 196.7 248.9 237.1 MEDICAL CARE .................................................................................. 230.7 241.8 243.7 245.9 248.0 250.7 253.9 230.2 242.6 244.7 247.2 249.1 251.7 254.9 Medical care commodities 148.8 155.0 155.8 156.6 157.8 159.2 160.5 149.6 156.2 156.7 157.4 158.5 159.9 161.0 143.7 113.2 114.8 109.7 144.4 114.1 115.0 110.0 145.2 114.8 115.6 110.6 146.2 115.5 116.9 111.6 147.4 116.8 118.3 112.3 148.8 118.2 119.7 113.0 Prescription drugs ................................................................................ Anti-infective drugs (12/77 = 100).................................................. Tranquillizers and sedatives (12/77 = 100)...................................... Circulatories and diuretics (12/77 = 100)........................................ Hormones, diabetic drugs, biologicals, and prescription and supplies (12/77 = 100) ...................................... Pain and symptom control drugs (12/77 = 100) .............................. Supplements, cough and cold preparations, and respiratory agents (12/77 = 100)................................................ Nonprescription drugs and medical supplies (12/77 = 100) .................... Eyeglasses (12/77 = 100) ............................................................ Internal and respiratory over-the-counter drugs ................................ Nonprescription medical equipment and supplies (12/77 = 100)........ 137.3 108 6 111.4 105.3 142.8 112.5 114.6 109.3 143.5 113.1 114.9 109.3 144.5 113.5 115.8 109.7 145.5 113.9 117.1 111.0 146.4 114.6 118.4 111.4 147.9 115.8 119.9 112.4 138.1 109.8 111.2 106.2 113.2 109.4 120.3 113.7 120.9 1148 122.5 115.6 123.2 116.8 123.8 117.8 126.0 118.8 113.6 109.8 120.4 115.2 120.8 116.0 122.2 116.3 122.6 117.5 123.1 118.2 124.8 119.0 106.4 110.3 110.9 111.3 111.9 112.1 112.6 107.5 111.7 112.2 112.6 112.8 113.7 114.2 115.3 111.5 179.1 113.8 107.5 105.0 165.7 106.8 112.8 109.3 174.7 111.2 113.2 110.0 175.2 111.8 114.0 110.4 176.6 112.7 115.1 110.5 178.5 114.2 115.6 111.4 179.0 115.0 106.8 104.6 164.5 106.4 111.4 108.7 172.2 110.4 112.0 109.2 173.0 110.8 112.5 110.2 173.7 111.0 113.4 110.9 175.4 111.8 114.6 110.9 177.9 113.1 112.5 108.9 174.3 111.3 Medical care services ........................................................................ 248.3 260.6 2628 265.3 267.6 270.7 274.4 247.4 261.2 263.8 266.8 268.8 271.8 275.6 Professional services ............................................................................ Physicians' services........................................................................ Dertal services.............................................................................. Other professional services (12/77 = 100)...................................... 219.2 234.5 207.9 108.3 228.9 246.6 216.0 111.9 230.3 248.4 217.2 112.4 231.6 249.7 218.5 112.7 233.0 250.8 220.7 112.8 235.9 252.5 224.5 115.1 238.9 256.0 227.4 116.6 219.3 233.7 209.7 107.6 231.1 248.7 219.0 111.5 233.1 251.5 220.7 111.7 234.9 254.4 221.2 112.1 235.9 255.5 222.7 112.2 238.3 256.5 226.1 114.8 241.7 260.3 229.5 115.9 Other medical care services.................................................................. Hospital and other medical services (12/77 = 100).......................... Hospital room.......................................................................... Other hospital and medical care services .................................. 283.7 112.8 355.9 111.8 299.0 118.6 374.2 117.4 302.0 119.6 376.4 118.8 306.2 121.3 380.2 120.8 309.5 122.6 385.1 122.0 312.8 123.8 389.4 122.9 317.4 125.6 395.3 124.7 281.7 112.2 354.0 111.1 298.1 117.8 371.7 116.7 301.3 118.9 374.1 118.0 305.9 120.5 379.4 119.5 309.3 121.8 383.6 120.8 313.0 123.2 388.7 122.1 317.3 124.9 393.9 123.8 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 93 MONTHLY LABOR REVIEW April 1980 • Current Labor Statistics: Consumer Prices 23. Continued— Consumer Price Index— U.S. city average [1967 = 100 unless otherwise specified] All Urban Consumers General summary Urban Wage Earners and Clerical Workers (revised) 1980 1979 1980 1979 Jan. Aug. Sept. Oct. Nov. Dec. Jan. Jan. Aug. Sept. Oct. Nov. Dec. Jan. ENTERTAINMENT................................................................................ 182.3 190.2 191.1 192.0 192.8 193.4 195.3 182.1 188.9 190.2 191.4 192.0 r 192.3 193.9 Entertainment commodities........................................ *•..................... 182.6 191.0 192.0 193.1 194.0 195.2 197.6 181.9 188.4 189.9 190.7 191.3 192.4 194.2 Reading materials (12/77 - 100).................................... ...................... Newspapers .................................................................................. Magazines, periodicals, and books (12/77 = 100)............................ 106.9 206.2 109.2 111.1 214.0 113.7 111.9 214.5 115.0 113.8 217.7 117.2 114.5 222.4 116.0 115.1 223.5 116.8 116.7 226.8 118.1 106.6 205.8 109.3 110.7 213.7 113.5 111.4 214.2 114.8 113.3 217.4 117.2 114.2 222.2 115.8 114.8 223.3 116.6 116.2 226.4 117.8 Sporting goods and equipment (12/77 = 100)........................................ Sport vehicles (12/77 - 100) ........................................................ Indoor and warm weather sport equipment (12/77 = 100)................ Bicycles ........................................................................................ Other sporting goods and equipment (12/77 - 100) ........................ 104.4 104.3 104.5 154.0 103.8 110.4 111.3 105.9 163.8 108.6 111.3 112.3 106.1 165.6 109.3 111.2 111.5 107.5 167.1 110.0 111.7 112.2 107.8 167.1 110.3 112.2 112.9 107.5 167.1 111.0 113.8 114.9 107.6 170.5 111.8 103.2 103.3 101.6 153.5 102.7 105.4 103.9 104.7 162.9 107.2 107.5 106.7 104.7 164.7 108.5 106.7 104.6 106.0 166.9 109.8 106.9 104.8 106.1 167.4 110.2 107.7 105.8 106.3 167.0 111.3 108.6 106.6 106.4 170.5 111.9 Toys, hobbies and other entertainment (12/77 = 100)............................ Toys, hobbies and music equipment (12/77 = 100).......................... Photographic supplies and equipment (12/77 = 100)........................ Pet supplies and expense (12/77 - 100) ........................................ 105.6 106.2 105.0 105.1 110.2 110.0 108.2 111.8 110.4 110.4 108.9 111.6 110.8 110.7 109.4 112.1 111.2 110.5 109.9 113.5 112.1 111.2 109.7 115.5 113.2 112.1 110.8 116.8 105.7 105.5 104.9 106.5 110.2 109.8 107.6 112.6 110.4 109.6 108.8 112.9 111.0 110.1 109.3 113.9 111.2 109.8 109.6 114.6 111.8 109.9 110.1 116.1 112.6 110.9 111.2 116.7 Entertainment services ...................................................................... 182.3 189.4 190.2 190.8 191.5 191.1 192.5 183.4 190.7 191.8 193.5 194.3 r 193.0 194.4 Fees for participant sports (12/77 - 100).............................................. Admissions (12/77 = 100).................................................................... Other entertainment services (12/77 = 100).......................................... 106.8 111.1 107.2 112.3 114.7 109.7 113.0 115.2 109.4 113.2 115.7 110.0 113.8 116.1 110.0 113.8 116.6 108.6 114.6 117.9 109.1 108.0 110.9 106.8 112.3 115.9 110.9 113.4 116.3 110.9 114.9 116.8 111.4 115.2 117.3 112.0 r 115.0 117.8 109.0 115.6 119.4 109.3 OTHER GOODS AND SERVICES.......................................................... 190.5 197.0 201.7 202.3 202.9 204.0 206.3 190.3 197.2 200.6 201.4 202.0 203.0 206.0 Tobacco products 183.0 189.9 190.9 191.3 191.5 192.1 196.7 183.1 190.1 190.9 191.2 191.4 192.1 197.1 C gazettes............................................................................................ Other tobacco products and smoking accessories (12/77 = 100)............ 185.5 107.3 192.6 111.1 193.6 112.2 193.8 113.0 194.0 112.8 194.7 113.2 199.7 113.9 185.8 106.5 193.1 110.0 193.7 111.0 193.9 112.3 194.1 112.4 194.8 112.7 200.3 113.4 Personal care 188.9 197.5 199.0 199.8 200.9 203.0 204.2 188 8 197.6 198.4 199.4 200.5 202.3 204.4 Toilet goods and personal care appliances.............................................. Products for the hair, hairpieces and wigs (12/77 = 100).................. Dental and shaving products (12/77 =100) .................................... Cosmetics, bath and nail preparations, manicure and eye makeup implements (12/77 = 100) ................................ Other toilet goods and small personal care appliances (12/77 = 100) 182.5 105.8 106.8 189.7 111.1 113.6 191.4 111.6 114.3 192.5 111.9 114.1 193.1 112.2 115.6 195.8 113.0 117.3 196.4 114.2 117.8 182.4 104.4 107.0 190.2 110.5 112.1 191.0 110.6 112.5 191.6 111.1 112.7 192.4 111.4 113.9 194.5 112.4 114.7 196.2 114.0 115.3 105.2 106.4 108.9 107.6 110.4 108.6 110.7 110.9 111.4 109.9 113.0 112.1 112.9 112.1 104.7 108.5 110.0 109.7 110.6 110.3 110.1 111.7 110.2 112.3 112.1 113.1 112.9 114.0 Personal care services.......................................................................... Beauty parlor services for women.................................................... Haircuts and other barber shop services for men (12/77 = 100) . . . . 195.2 196.7 109.0 205.0 206.1 115.1 206.4 207.7 115.5 207.0 208.3 115.9 208.5 210.3 116.1 210.0 212.1 116.8 211.6 213.3 118.1 195.2 197.5 108.1 205.0 206.7 114.2 205.8 207.4 114.7 207.3 209.1 115.4 208.6 210.2 116.3 210.2 212.0 117.1 212.7 214.2 118.8 Personal and educational expenses .................................................. 207.4 210.8 223.3 224.0 224.2 224.6 226.3 207.7 211.2 223.5 224.2 224.4 224.8 226.2 School books and supplies.................................................................... Personal and educational services.......................................................... Tuition and other school fees .......................................................... College tuition (12/77 = 100) .................................................. Elementary and high school tuition (12/77 = 100) .................... Personal expenses (12/77 = 100).................................................. 190.7 211.7 108.4 108 6 107.5 109.3 192.6 215.4 109.4 109.7 108.3 114.8 201.5 228.6 117.7 116.9 120.9 115.1 202.3 229.4 118.1 117.3 120.9 115.8 202.3 229.6 118.1 117.3 120.9 116.3 202.5 229.9 118.1 117.3 120.9 117.3 206.0 231.4 118.3 117.6 120.9 120.1 193.1 211.7 108.3 108.6 107.4 109.3 195.2 215.5 109.4 109.7 108.4 114.4 205.0 228.4 117.9 116.8 120.7 114.4 205.8 229.0 118.2 117.3 120.7 114.9 205.9 229.3 118.2 117.3 120.7 115.5 206.0 229.7 118.2 117.3 120.7 116.3 209.8 230.6 118.4 117.6 120.7 117.7 207.4 249.1 202.9 259.5 288.2 278.7 217.0 274.4 297.1 283.5 219.3 276.6 299.8 2889 220.7 278.7 302.9 296.0 220.5 280.6 309.7 302.1 223.5 282.2 329.9 310.5 225.0 284.7 207.8 249.0 203.3 258.9 289.5 278.3 217.4 275.3 298.3 283.1 219.5 277.8 301.2 228.5 220.7 279.9 304.3 295.8 220.3 281.3 311.4 301.6 223.0 283.4 331.3 310.0 224.4 286.0 Special Indexes: Gasoline, motor oil, coolant and other products ...................................... Insurance and finance .......................................................................... Utilities and public transportation............................................................ Housekeeping and home maintenance services ...................................... 94 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 24. Consumer Price Index for All Urban Consumers: Cross classification of region and population size class by expenditure category and commodity and service group [December 1977 = 100] Size class A (1.25 million or more) Size class B (385,000-1.250 million) Size class C (75,000 385,000) Size class D (75,000 or less) Category and group 1979 Aug. Oct. 1979 Dec. Aug. Oct. 1979 1979 Aug. Dec. Oct. Dec. Aug. Oct. Dec. Northeast EXPENDITURE CATEGORY All Items ............................................................................................................ Food and beverages .................................................................................... Housing ...................................................................................................... Appare and upkeep .................................................................................... Transportation.............................................................................................. Medical care................................................................................................ Entertainment .............................................................................................. Other goods and services .................................... .................................... 115.0 117.9 114.8 104.9 119.6 113.6 110.6 108.3 117.3 119.2 117.9 107.7 121.1 115.4 111.4 111.7 119.0 120.6 119.8 108.9 123.7 117.3 111.5 112.7 117.3 118.9 116.7 106.1 123.4 115.3 110.9 111.4 120.2 119.6 121.3 109.2 125.0 118.5 113.6 114.1 122.2 121.9 123.7 109.0 127.6 120.0 113.5 114.3 120.2 121.7 122.5 104.3 123.6 114.8 110.4 113.0 123.0 121.9 127.7 107.8 124.9 117.0 110.0 115.6 125.7 123.2 132.1 108.5 127.0 118.9 109.8 116.3 116.9 120.4 116.1 103.4 122.5 114.8 113.6 109.2 119.2 119.4 119.9 108.3 124.5 116.3 114.1 112.5 121.8 121.2 123.2 109.8 127.3 119.0 115.1 113.1 COMMODITY AND SERVICE GROUP Commodities...................................................................................................... Commodities less food and beverages .......................................................... Services ............................................................................................................ 116.6 115.8 113.0 118.6 118.3 115.6 120.5 120.4 117.2 119.0 119.0 114.6 121.8 122.8 117.8 123.7 124.6 119.9 120.8 120.4 119.1 122.8 123.2 123.3 125.1 126.0 126.6 117.7 116.5 115.7 120.0 120.4 117.9 122.5 123.2 120.7 North Central EXPENDITURE CATEGORY All items ............................................................................................................ Food and beverages .................................................................................... Housing ...................................................................................................... Apparel and upkeep .................................................................................... Transportation.............................................................................................. Medical care................................................................................................ Entertainment.............................................................................................. Other goods and services ............................................................................ 121.0 120.2 125.8 102.8 122.8 115.0 111.9 109.0 123.2 121.2 128.7 105.3 125.0 115.9 112.6 112.5 126.3 123.2 133.1 105.6 127.9 119.6 113.9 113.6 120.5 118.6 124.1 104.6 122.9 117.2 109.2 114.9 122.3 119.2 125.7 109.9 125.2 118.6 110.7 117.8 124.6 120.2 129.3 110.9 127.5 119.3 111.0 117.7 119.0 120.4 120.3 105.3 123.7 116.4 110.5 110.0 121.9 121.6 124.5 107.4 126.0 117.5 112.7 112.3 123.7 123.4 125.9 109.0 129.1 119.7 114.4 114.0 119.5 122.0 120.5 104.0 123.2 117.5 111.3 112.7 122.0 122.8 124.0 110.0 124.3 119.1 112.7 115.7 123.0 124.8 123.6 111.9 127.3 121.8 113.8 116.1 COMMODITY AND SERVICE GROUP Commodities...................................................................................................... Commodities less food and beverages .......................................................... Services .......................................................... ' ................................................ 120.7 120.9 121.5 122.5 123.0 124.3 125.4 126.4 127.7 119.4 119.7 122.4 120.8 121.5 124.7 122.5 123.5 128.0 119.1 118.5 118.8 121.7 121.7 122.2 123.5 123.6 124.1 118.9 117.6 120.4 121.1 120.4 123.3 122.5 121.6 123.8 South EXPENDITURE CATEGORY All items ............................................................................................................ Food and beverages .................................................................................... Housing ...................................................................................................... Apparel and upkeep .................................................................................... Transportation.............................................................................................. Medical care................................................................................................ Entertainment .............................................................................................. Other goods and services ............................................................................ 118.7 121.1 119.9 107.5 122.6 113.3 108.1 111.5 120.7 122.2 122.0 111.2 124.2 116.0 109.4 114,4 123.1 123.5 125.0 112.3 127.6 117.7 109.5 115.8 120.1 120.3 122.4 107.3 123.5 115.7 111.9 110.8 122.4 121.3 125.8 110.8 124.5 116.9 113.2 114.0 124.6 122.9 128.4 110.3 127.8 118.3 113.9 115.1 119.9 121.6 122.7 104.5 121.8 115.5 111.8 111.4 122.1 122.1 125.9 106.4 123.2 117.6 113.6 114.2 124.3 123.9 128.4 105.7 126.4 120.7 113.8 115.5 118.5 120.0 119.3 102.8 122.4 118.5 115.9 114.3 120.6 121.0 121.6 103.9 124.4 122.5 117.1 117.3 122.5 122.5 123.9 104.8 126.3 124.9 119.4 118.3 COMMODITY AND SERVICE GROUP Commodities...................................................................................................... Commodities less food and beverages .......................................................... Services ............................................................................................................ 118.9 118.0 118.4 120.5 119.8 121.0 122.6 122.2 123.8 119.3 118.9 121.2 121.2 121.2 124.3 123.1 123.2 126.8 119.3 118.3 120.8 120.7 120.1 124.2 122.7 122.2 126.7 118.6 118.0 118.5 120.2 119.9 121.1 121.9 121.6 123.5 West EXPENDITURE CATEGORY All items ............................................................................................................ Food and beverages .................................................................................... Housing ...................................................................................................... Apparel and upkeep .................................................................................... Transportation.............................................................................................. Medical care................................................................................................ Entertainment .............................................................................................. Other goods and services ............................................................................ 118.7 119.4 119.0 104.8 125.3 116.8 109.3 112.4 120.8 121.2 121.2 107.9 127.2 119.8 109.3 115.2 124.8 123.4 127.0 110.0 129.9 121.9 111.1 115.5 120.9 121.4 122.4 108.8 124.8 116.6 114.4 112.5 123.6 123.1 126.2 111.0 126.7 117.8 115.6 115.3 126.6 125.8 130.2 111.5 128.8 121.3 115.9 116.5 119.5 120.1 120.5 103.9 125.0 116.5 112.6 110.7 122.2 121.1 124.8 104.4 126.3 118.4 113.8 113.0 124.5 122.9 127.8 104.4 129.0 119.9 114.9 113.6 118.8 121.6 117.8 109.5 123.1 119.0 115.7 114.4 122.8 121.5 124.8 114.0 124.6 120.7 117.8 116.0 124.3 123.7 125.4 114.9 128.2 122.7 119.2 116.4 COMMODITY AND SERVICE GROUP Commodities...................................................................................................... Commodities less food and beverage............................................................ Services ............................................................................................................ 118.7 118.3 118.8 120.5 120.2 121.3 123.1 123.0 126.9 120.8 12Ò.6 121.0 123.1 123.1 124.4 125.3 125.1 128.4 119.4 119.1 119.6 121.7 121.9 122.8 123.6 123.8 125.9 119.1 118.0 118.5 120.7 120.4 125.9 123.0 122.7 126.3 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 95 MONTHLY LABOR REVIEW April 1980 • Current Labor Statistics: Consumer Prices 25. Consumer Price Index— U.S. city average, and selected areas [1967 = 100 unless otherwise specified] All Urban Consumers Area1 Urban Wage Earners and Clerical Workers (revised) 1979 1980 1979 1980 Jan. Aug. Sept. Oct. Nov. Dec. Jan. Jan. Aug. Sept. Oct. Nov. Dec. Jan. U.S. city average2 .............................................................. 204.7 221.1 2234 225.4 227.5 229.9 233.2 204.7 221.5 223.7 225.6 227.6 230.0 233.3 Anchorage, Alaska (10/67 = 100)........................................ Atlanta, Ga........................................................................... Baltimore, Me....................................................................... Boston, Mass........................................................................ Buffalo, N.Y.......................................................................... 198.1 201.8 204.2 201.6 218.2 197.3 202.7 205.0 200.7 Chicago, lll.-Northwestern Ind................................................. Cincinnati, Ohio-Ky.-Ind.......................................................... Cleveland Ohio .................................................................. Dallas-Ft. Worth, Tex............................................................. Denver-Boulder, Colo............................................................ 199.7 211.2 213.2 216.9 214.6 218.6 221.3 • 229.0 Miami, Fla. (11/77 = 100) .................................................. Milwaukee, Wis..................................................................... Minneapolis-St. Paul, Minn.-Wis.............................................. New York, N.Y.-Northeastern N.J........................................... Northeast, Pa. (Scranton) .................................................... 108.9 200.6 202.9 200.2 Philadelphia, Pa.-N.J.............................................................. Pittsburgh, Pa....................................................................... Portland, Oreg.-Wash............................................................ St. Louis, Mo -Ik.................................................................... San Diego, Calif.................................................................... 211.7 203.4 214.8 San Francisco-Oakland, Calif................................................. Seattle-Everett, Wash............................................................ Washington, D.C.-Md.-Va....................................................... 202.0 208.7 199.6 202.3 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 221.8 240.8 222.2 207.2 240.6 224.6 217.5 223.7 220.7 227.0 215.4 217.7 219.1 218.1 215.4 219.5 227.2 210.5 244.2 229.9 221.8 225.9 233.4 231.3 224.2 233.2 214.8 248.7 233.7 228.0 231.2 219.9 220.1 226.0 221.3 220.0 222.4 234.0 222.9 223.7 229.2 236.6 225.7 247.8 230.3 239.5 199.7 212.3 247.3 218.0 237.2 204.9 232.6 199.7 123.3 236.4 109.2 201.6 226.1 224.4 202.3 202.1 227.2 203.9 244.6 232.7 254.0 212.1 201.4 212.5 236.0 231.9 200.4 209.4 224.9 217.9 218.2 2206 230.8 227.9 222.5 221.7 223.5 223.0 218.1 220.0 225.6 235.6 217.8 217.1 220.3 230.8 233.0 2193 221.3 226.1 2299 241.0 225.8 250.9 232.2 215.5 246.0 232.4 229.9 220.7 221.1 223.8 2348 222.4 224.6 229.7 236.7 226.3 244.8 220.8 2364 235.0 124,9 240.8 120.5 232.5 232.6 222.5 2377 221.0 224.4 227.8 233.2 233.3 248.6 226.9 211.1 241.8 227.9 224.0 1187 228.7 228.5 2153 234.5 226.9 220.7 225.5 228.0 243.6 222.6 207.2 239.0 223.1 219.6 215.9 227.0 218.6 218.6 2 Average of 85 cities. 211.8 223.5 222.6 223.0 230.2 227.6 225.4 210.9 219.0 215.3 232.5 234.1 221.5 222.6 222.9 228.4 119.4 229.8 232.2 222.2 240.4 218.3 234.4 227.3 221.2 245.9 117.4 226.0 'The areas listed include not only the central City but the entire portion of the Standard Metropolitan Statistical Area, as defined for the 1970 Census of Population, except that the Standard Consolidated Area is used for New York and Chicago. 96 227.2 222.7 224.7 228.2 216.2 205.1 223.3 218.7 221.4 222.9 Detroit, Mich......................................................................... Honolulu, Hawaii.................................................................. Houston, Tex........................................................................ Kansas City, Mo -Kansas .................................................... Los Angeles-Long Beach, Anaheim, Calif................................ 213.7 220.8 224.9 218.1 225.5 225.8 228.0 243.5 233.5 251 0 229.0 225.5 226.7 2338 233.0 26. Producer Price Indexes, by stage of processing [1967 = 100] Annual average 1978 Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan. Feb. 194.6 207.7 209.1 211.4 212.7 213.7 216.2 217.3 2207 224.2 225.9 227.8 232.1 235.4 Finished consumer goods.............................................. Finished consumer foods .......................................... Crude .................................................................. Processed ............................................................ Other nondurable goods............................................ Durable goods.......................................................... 192.6 206.7 215.5 204.1 195.4 165.8 206.3 225.1 257.2 220.5 207.2 176.2 207.9 226.3 244.6 222.8 209.8 176.8 210.2 227.8 241.8 224.6 213.1 178.4 211.6 226.6 226.7 224.4 217.1 179.5 212.7 223.6 227.1 221.3 221.7 180.4 215.6 224.9 224.9 222.8 227.1 181.6 217.5 223.5 231.7 220.7 233.4 181.6 221.7 228.1 214.0 227.0 '239.0 182.9 224.7 226.7 215.5 225.5 243.3 189.0 226.6 230.5 228.0 228.6 245.2 188.5 228.8 232.0 227.8 230.1 247.8 191.2 233.2 231.4 225.9 229.7 254.4 198.2 237.3 231.6 220.0 230.4 263.0 200.7 Capital Equipment........................................................ 199.1 210.8 211.7 214.0 215.1 215.8 217.2 216.5 217.8 222.8 223.8 225.1 229.1 230.3 Intermediate materials, supplies, and components.................. 215.5 228.5 231.5 235.8 238.2 240.3 244.6 247.5 251.0 255.0 256.1 258.4 265.6 271.1 Materials and components for manufacturing.................. Materials for food manufacturing................................ Materials for nondurable manufacturing...................... Materials for durable manufacturing............................ Components for manufacturing .................................. 208.3 202.3 195.8 237.2 189.1 221.6 217.3 205.3 256.8 199.0 224.5 219.6 208.7 260.0 200.3 229.0 222.2 213.7 266.0 203.1 230.9 222.5 216.7 2672 204.5 232.1 222.3 218.1 268.9 205.3 236.0 226.7 222.5 273.3 207.7 238.0 225.1 225.3 275.2 209.3 240.7 228.9 227.6 278.8 211.3 244.3 225.5 231,4 284.7 213.2 245.2 227.7 233.1 284.2 214.5 247.5 230.5 235.1 287.5 215.9 255.2 225.8 240.6 303.5 218.9 259.2 245.1 243.3 305.9 222.7 Materials and components for construction .................... 224.4 239.0 241.3 244.5 245.2 245.6 247.4 249.2 252.5 254.7 253.8 253.6 257.5 261.6 Processed fuels and lubricants...................................... Manufacturing industries............................................ Nonmanufacturing industries...................................... 296.4 270.4 320.0 304.8 269.0 339.1 312.9 275.4 348.9 323.9 2807 365.9 336.8 287.4 385.5 349.5 293.8 404.9 364.8 304.0 425.5 384.6 311.2 458.8 '399.4 317.2 483.0 410.6 322.5 500.6 416.5 325.3 509.7 424.6 3323 518.8 443.9 340.6 549.8 464.3 352.2 579.7 Containers .................................................................. 212.5 224.3 229.3 231.8 234.5 234.9 235.4 237.6 237.9 242.6 243.5 246.1 250.9 250.8 Supplies...................................................................... Manufacturing industries............................................ Nonmanufacturing industries...................................... Manufactured animal feeds .................................... Other supplies ...................................................... 196.9 183.6 204.0 200.2 201.9 209.6 194.3 217.7 221.6 213.6 211.1 197.4 218.4 219.3 215.0 212.8 199.4 219.9 219.5 216.8 213.7 201.5 220.3 214.6 218.3 216.1 202.7 223.2 226.2 219.2 219.6 204.2 227.8 241.3 221.5 219.6 208.6 225.4 220.8 223.1 221.2 209.4 227.5 224.0 224.9 224.9 212.2 231.7 228.9 228.9 226.0 213.1 232.9 227.3 230.7 228.4 215.3 235.3 230.8 232.9 232.2 220.9 238.2 224.2 237.8 238.3 222.0 247.0 223.3 248.6 276.6 279.9 282.3 283.0 287.1 281.7 288.3 289.5 290.8 296.7 296.9 308.3 Commodity grouping 1979 1980 FINISHED GOODS F.n.shed goods.................................................................. INTERMEDIATE MATERIALS CRUDE MATERIALS Crude materials for further processing.................................. 240.1 270.4 Foodstuffs and feedstuffs.............................................. 215.3 243.7 247.4 251.5 251.9 248.2 254.1 243.7 248.7 247.5 246.4 249.7 243.0 252.6 Nonfood materials........................................................ 286.7 320.7 331.6 333.3 3396 348.7 349.3 353.6 363.1 368.9 374.8 385.8 399.0 413.9 Nonfood materials except fuel.................................... Manufacturing industries ........................................ Construction.......................................................... 235.4 240.8 185.7 264.7 271.9 200.4 275.5 283.8 201.9 276.5 284.8 203.6 276.6 284.7 204.5 286.6 295.9 205.4 285.2 294.0 207.2 286.1 294.9 208.6 293.3 302.8 209.9 298.1 3078 212.6 304.6 314.9 214.6 311.5 322.5 216.6 329.9 342.0 225.7 341.5 354.7 228.3 Crude fu e l................................................................ Manufacturing industries ........................................ Nonmanufacturing industries .................................. 463.7 481.9 459.6 513.9 541.6 5027 525.2 555.4 512.1 529.2 560.0 515.8 556.8 593.8 538.8 563.1 601.3 544.3 570.7 610.4 550.7 5862 629.2 563.6 604.0 651.8 577.8 612.9 662.5 585.5 616.8 667.0 589.0 641.8 697.7 609.7 637.2 691.7 606.2 663.5 724.4 627.7 188.9 200.2 201.7 204.2 2063 208.5 211.4 213.2 216.2 221.3 222.2 224.3 230.1 234.3 183.7 194.9 196.7 199.3 202.1 205.2 208.4 212.3 216.3 220.6 222.4 225.0 231.8 237.8 SPECIAL GROUPINGS Finished goods excluding foods............................................ Finished consumer goods excluding Foods ...................................................................... Intermediate materials, supplies, and Components, excluding intermediate materials for food manufacturing and manufactured animal feeds .................................... 216.4 229.1 232.3 236.7 238.8 241.3 245.4 2490 252.5 256.8 257.8 260.1 268.1 273.2 Intermediate foods and feeds .............................................. 201.0 218.2 218.9 2207 219.3 223.0 231.0 223.1 2266 226.0 227.0 230.0 224.7 237.1 Crude materials for further processing excluding crude foodstuffs and feedstuffs, plant and animal fibers, oilseeds, and leaf tobacco ............................................ 316.6 356.4 370.6 372.4 379.2 389.5 391.7 396.9 408.6 4170 423.9 437.1 453.0 468.8 NOTE: Data for October 1979 have been revised to reflect the availability of late reports and correc tions by respondents. All data are subject to revision 4 months after original publication. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 97 MONTHLY LABOR REVIEW April 1980 • Current Labor Statistics: Producer Prices 27. Producer Price Indexes, by commodity groupings1 [1967 = 100 unless otherwise specified] Annual average 1978 Feb. Mar. Apr, May June July Aug. Sept. Oct. Nov. Dec. Jan. Feb. All commodities All commodities (1957 -59 = 100) 209.3 222.1 224.1 237.7 226.7 240.5 230.0 243.7 232.0 245.7 233.5 247.7 236.9 251.4 238.3 252.8 242.0 256.7 245.6 260.6 246.9 262.0 249.4 264.6 254.7 '270.2 259.8 275.6 Farm products and processed foods and feeds Industrial commodities 206.6 209,4 227.2 222.5 229.0 225.4 244.0 229.0 230.8 231.6 229.0 234.0 232.2 237.5 227.5 240.6 231.8 244.2 230.6 249.0 232.3 250.2 234.5 252.8 231.9 260.3 236.9 265.4 01 01-1 01 -2 01-3 01 -4 01-5 01 -6 01-7 01 -8 01 -9 FARM PRODUCTS AND PROCESSED FOODS AND FEEDS Farm products ............................................................................ Fresh and dried fruits and vegetables ........................................ Grains...................................................................................... Livestock ................................................................................ Live poultry.............................................................................. Plant and animal fibers.............................................................. Fluid milk ................................................................................ Eggs........................................................................................ Hay. hayseeds, and oilseeds .................................................... Other farm products ................................................................ 212.5 216.5 182.5 220.1 199 8 193.4 219.7 158.6 215.8 274.9 240.9 263.0 189.3 266.5 217.8 205.1 244.6 176.7 246.1 253.6 242.8 235.7 192.0 275.8 217,6 197.8 243.7 199.9 249.5 254.6 223.3 234.7 198.3 284.0 209.4 197.8 242.4 185.5 248.3 255.1 245.4 228.2 210.3 280.7 216.3 207.6 242.0 163.8 240.7 264.1 242.8 226.4 218.7 264.0 182.9 219.5 243.8 170.7 2584 281.0 246,8 226.7 247.4 256.0 183.8 207.6 247.6 167.6 260.1 311.9 238.5 241.7 229.1 240.2 171,9 207.9 250.0 166.8 251.9 310.8 241.0 208.3 224.4 256.4 173.5 211.3 258.5 175.4 240.9 315.9 239.6 218.0 229.0 251.7 162.0 212.9 260.8 155.9 235.6 313.6 240.2 216.4 226.6 248.3 195.5 215.4 262.5 178.7 229.8 318.3 242.5 210.5 227.9 252.5 194.7 222.0 264.0 198.4 230.3 319.4 236.4 218.9 214.6 247.8 195.2 239.0 262.3 165.6 218.1 301.1 242.3 220.5 223.3 257.2 184.6 269.5 263.8 150.4 224.7 304.7 02 02-1 02-2 02-3 02-4 02-5 02-6 02-7 02-8 02-9 Processed foods and feeds.......................................................... Cereal and bakery products...................................................... Meats, poultry, and fish ............................................................ Dairy products.......................................................................... Processed fruits and vegetables................................................ Sugar and confectionery .......................................................... Beverages and beverage materials............................................ Fats and o ils ............................................................................ Miscellaneous processed foods ................................................ Manufactured animal feeds ...................................................... 202.6 190,3 217.1 188.4 202.6 197.8 200.0 225.3 199.0 197.4 218,9 199.1 248.5 203.2 219.5 208.4 201.1 237.5 208.0 217.2 220.5 200.1 250.6 204.9 219.6 208.4 201.2 238.6 217.5 215.7 222.3 203.0 253.0 207.1 220.5 208.7 201.5 246.2 2193 215.6 222.0 204.9 250.4 207.9 221.4 207.6 205.3 241.8 220.2 210.8 220.6 206.3 241.4 208.4 221.5 211.1 208.5 243.6 211.1 220.5 223.3 212.4 237.7 209.0 2236 215.7 214.1 253.2 212.7 234.9 220.5 216.0 225.5 215.2 224.6 218.3 216.5 251.7 217.6 216.2 2258 218.7 239.9 2183 225.1 217.2 217.9 253.3 219.0 219.2 224.8 2198 234.2 218.1 223.4 218.9 218.9 246.0 220.8 224.0 227.1 2223 239.5 219.0 222.5 222.7 221.4 242.1 222.1 222.7 229.2 223.7 242.8 219.6 2223 234.4 221.9 235.8 222.0 225.3 228.5 225.4 239.5 221.4 2228 234.8 224.1 224.9 225.4 219.5 233,1 229.7 239.5 221.2 223.1 287.1 224.7 225.9 223.5 219.8 03 03-1 03-2 03-3 03-4 03-81 03-82 Textile products and apparel ........................................................ Synthetic fibers (12/75 = 100).................................................. Processed yarns and threads (12/75 = 100) ............................ Gray fabrics (12/75 - 100)...................................................... Finished fabrics (12/75 = 100) ................................................ Apparel.................................................................................... Textile housefurnishings............................................................ 159.8 109.6 102,4 118.6 103.8 152.4 178.6 164.2 113.5 105.3 123.2 104.1 157.6 186.0 165.2 113.6 107.0 123.1 105,4 158.3 187.4 166.4 115.1 106.8 124.5 105.9 159.8 188.0 167.2 117.4 107.8 124.7 107.0 159.8 188.0 168.4 118.5 108.6 125.4 107.6 160.2 189.3 169.3 119.5 109.5 128.3 108.2 160.3 189.9 170.5 120.6 110.6 128.7 109.0 161.4 190.5 171.3 123.6 111.7 128.7 109.1 161.6 193.9 172.0 124.7 112.1 129.7 108.9 162.2 196.3 172.4 124.9 113.0 130.6 108.5 162.9 194.8 172.8 124.5 113.1 132.5 109.3 162.3 197.0 174,9 126.9 114.4 132.2 109.8 165.3 199.2 176.5 127.1 117.3 131.7 110.8 167.3 200.0 04 04-1 04-2 04-3 04-4 Hides, skins, leather, and related products .................................... Hides and skins........................................................................ Leather.................................................................................... Footwear ................................................................................ Other leather and related products............................................ 200,0 360.5 238.6 183.0 177.0 232.2 497.8 309.2 203.0 192.2 253.3 639.6 371.9 209.9 195.9 258.9 642.2 393.6 212.0 200.4 269.6 666.9 429.4 216.3 209.1 268.0 611.0 414.6 221.1 2123 261.9 566.5 385.2 221.8 212.1 257.9 511.9 365.9 225.4 210.9 251.1 465.3 330.0 226.9 210.1 253.9 478.8 343.6 227.5 209.7 248.5 447.6 319.8 227.3 208.5 248.9 443.9 324.8 227.3 208.1 255.3 468.8 347.6 228.5 213.2 251.0 404.8 340.3 228.1 214.9 05 05-1 05-2 05-3 05-4 05-61 05-7 Fuels and related products and power .......................................... C oal........................................................................................ Coke ...................................................................................... Gas fuels'................................................................................ Electric power.......................................................................... Crude petroleum2 .................................................................... Petroleum products, refined3 .................................................... 322.5 430.0 411.8 428.7 250.6 300.1 321.0 342.5 444.0 423.7 458.1 251.1 322.3 350.0 350.9 445.3 428.5 471.0 257.3 324.2 360.3 361.5 447.1 430.1 477,4 260.6 326.2 378.6 377.6 450.8 430.6 507.2 265.9 335.7 400.0 393.7 452.0 430.6 522.3 269.9 356.4 4236 411.8 452.5 430.6 548.4 274.8 370.6 449.8 432.8 454.2 430.6 572.4 278.8 385.7 482.8 454.8 452.5 430.6 603.4 280.5 422.1 513.7 468.5 454.6 431.2 619.9 283.5 436.7 533.7 476.7 455.4 431.2 637.1 282.1 450.4 544.9 488.7 457.8 431.2 670.5 287.2 470.8 554.8 507.8 458.1 430.6 679,6 290.7 513.6 582.4 533.0 458.7 430.6 719.8 299.5 515.1 620.3 06 06-1 06-21 06-22 06-3 06-4 06-5 06-6 06-7 Chemicals and allied products...................................................... Industrial chemicals4 ................................................................ Prepared paint.......................................................................... Paint materials ........................................................................ Drugs and pharmaceuticals ...................................................... Fats and oils, inedible .............................................................. Agricultural chemicals and chemical products ............................ Plastic resins and materials ...................................................... Other chemicals and allied products .......................................... 198.8 225.6 192.3 212.7 148.1 315.8 198.4 199.8 181.8 207.3 237.4 202.3 224.3 156.2 367.9 203.1 206.3 184.7 209.9 239.7 202.3 227.0 156.6 398.5 206.3 210.9 186.5 215.1 248.2 203.3 231.6 157.5 448.7 209.8 220.6 186.9 218.0 255.6 201.3 236.1 157.7 418.3 210.0 228.5 188.9 219.2 259.3 201.3 239.5 159.0 374.1 209.2 230.1 190.5 225.0 270.4 205.3 246.7 159.2 381.6 211.2 244.5 191.8 228.5 277.1 205.3 247.9 159.6 376.4 215.3 250.1 194.4 2308 280.0 206.0 252.0 161.0 379.9 219.4 252,0 195.8 234.2 285.7 206.7 253.6 162.8 3669 224.3 260.0 197.0 235,6 287.2 206.9 254.8 163.0 344.3 229.2 261.7 199.3 238.1 291.6 210.7 255.4 164.4 327.1 232.7 262.7 201,9 245.5 302.6 223.1 258.9 166.5 325.6 238.1 270.0 209.6 247.6 306.7 223.3 262.7 167.7 3022 242.8 271.1 211.0 07 07-1 07-11 07-12 07-13 07-2 Rubber and plastic products ........................................................ Rubber and rubber products...................................................... Crude rubber .......................................................................... Tires and tubes........................................................................ Miscellaneous rubber products.................................................. Plastic products (6/78 = 100) .................................................. 174.8 185.3 187.2 179.2 189.6 183.2 197.6 201.1 194.1 198.1 103.5 185.9 199.4 204.8 195.0 200.3 105.7 1888 201.2 211.6 196.1 201.3 108.0 190.8 202.6 214.2 197.3 2026 109.5 193.1 204.8 222.0 198.9 203.5 111.0 195.5 209.5 226.1 206.2 205.4 111.2 198.8 214.6 233.0 211.6 209.4 112.2 200.7 217.1 232.2 215.0 211.9 113.0 203.0 220.3 236.5 218.3 214.7 114.0 204.3 223.3 236.4 222.7 216.9 113.8 205.7 223.9 239.4 222.7 217.4 115.2 208.2 227.1 251.9 224.7 219.1 116.2 210.9 232.2 263.1 231.2 220.4 116.5 08 08-1 08-2 08-3 08-4 Lumber and wood products.......................................................... Lumber.................................................................................... Millwork .................................................................................. Plywood .................................................................................. Other wood products................................................................ 276.0 322.4 235.4 235.6 211.8 293.9 339.9 251.5 257.1 226.2 300.5 350.5 257.8 254.7 232.2 304.9 355.4 266.0 252.4 235.5 302.8 3548 261.6 249.3 2384 299.8 3548 258.9 238.6 2385 300.1 355.0 252.5 249.7 237.6 304.7 365.3 249.6 254.3 237.4 309.7 373.9 250.9 257.9 238.0 308.8 370.3 255.6 254.0 237.7 299.0 355.5 252.3 242.9 239.9 289.8 338.9 250.3 237.7 240.5 290.0 336.3 254.1 238.2 242.2 294.8 341.5 258.0 243.7 243.4 Code Commodity group and subgroup 1979 1980 INDUSTRIAL COMMODITIES See footnotes at end of table. 98 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 27. Continued — Producer Price Indexes, by commodity groupings1 [1967 = 100 unless otherwise specified] Code Commodity groups and subgroups Annual average 1978 Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan. Feb. 1979 1980 INDUSTRIAL COMMODITIES-Continued 09 09-1 09-11 09-12 09-13 09-14 09-15 09-2 Pulp, paper, and allied products.................................................... Pulp, paper, and products, excluding building paper and board . . . Woodpulp................................................................................ Wastepaper ............................................................................ Paper ...................................................................................... Paperboard.............................................................................. Converted paper and paperboard products................................ Building paper and board.......................................................... 195.6 195.6 266.5 191.2 206.1 179.6 185.6 187.4 208.8 209.5 291.4 194.1 221.2 190.2 199.8 183.6 212.3 213.2 294.3 203.2 2233 192.9 204.1 182.6 215.0 216.0 303.8 206.5 226.3 197.9 205.8 183.4 216.2 217.2 306.9 206.2 227.2 199.2 207.0 183.3 216.6 217.8 308.3 207.2 227.5 199.8 207.6 180.8 218.3 219.6 320.3 207.9 228.2 201.7 209.0 178.0 222.2 223.6 320.6 206.6 229.5 206.4 214.4 179.1 223.0 224.3 320.6 206.7 230.3 209.6 214.6 182.6 227.5 229.0 337.5 206.7 238.7 211.3 217.3 183.5 229.3 2309 339.9 220.0 242.1 212.8 218.4 183.6 231.0 232.6 339.9 221.2 243.0 215.4 220.3 184.4 237.4 239.1 358.8 222.7 245.5 221.8 227.5 186.0 238.9 240.5 358.5 223.2 247.5 223.4 228.7 191.1 10 10-1 10-13 10-2 10-3 10-4 10-5 10-6 10-7 10-8 Metals and metal products .......................................................... Iron and steel .......................................................................... Steel mill products.................................................................... Nonferrous metals........................................................ Metal containers ...................................................................... Hardware................................................................................ Plumbing fixtures and brass fittings............................................ Heating equipment.................................................................... Fabricated structural metal products.......................................... Miscellaneous metal products.................................................... 227.1 253.6 254.5 207.8 243.4 200.4 199.1 174.4 226.4 212.0 247.3 274.9 271.8 239.2 256.8 213.3 207.8 180.9 240.5 223.4 251.7 279.9 272.5 246.6 264.5 214.2 209.7 183.4 241.3 225.2 256.0 280.2 275.0 259.6 270.1 215.8 212.0 183.8 243.8 227.0 256.2 279.5 276.7 258.2 268.5 216.9 213.8 185.7 247.0 228.5 258.2 283.2 277.3 259.7 267.3 217.1 217.0 185.2 248.2 230.1 260.8 286.8 284.6 2623 267.2 218.5 219.6 186.0 250.5 231.8 261.8 286.1 284.7 263.1 268.4 220.1 222.4 188.1 252.2 235.6 263.7 285.5 284.8 269.3 268.7 221.5 223.0 191.3 253.7 236.7 269.6 289.2 288.3 283.1 279.9 224.0 223.5 192.2 256.3 238.5 270.9 291.6 288.7 283.7 280.7 225.4 225.4 192.7 256.6 239.4 273.5 292.7 289.3 291.2 280.7 226.5 226.4 195.2 257.7 239.9 284.5 297.3 2937 3261 283.3 228.4 229.7 197.3 258.8 241.5 288.6 300.2 294.2 336.5 283.3 229.4 236.6 199.9 259.5 242.5 11 11-1 11-2 11-3 11-4 11-6 11-7 11-9 Machinery and equipment ............................................................ Agricultural machinery and equipment........................................ Construction machinery and equipment...................................... Metalworking machinery and equipment .................................... General purpose machinery and equipment................................ Special industry machinery and equipment ................................ Electrical machinery and equipment .......................................... Miscellaneous machinery.......................................................... 196.1 213.1 232.9 217.0 216.6 223.0 164.9 194.7 206.5 223.9 247.9 232.0 227.7 237.0 172.8 203.4 207.9 224.8 248.7 233.0 230.4 239.1 173.8 204.0 209.8 226.4 251.7 235.3 232.6 243.4 175.0 205.4 211.4 228.3 253.7 237.6 234.0 245.1 176.5 207.1 212.4 229.4 254.0 239.1 235.1 246.1 177.6 207.4 214.8 231.2 257.0 241.4 237.1 249.8 179.9 209.7 216.0 233.3 258.5 243.5 238.3 251.0 181.2 209.7 217.7 237.4 258.9 246.4 240.2 251.2 182.5 212.0 220.0 240.0 263.9 249.6 242.8 253.8 184.3 213.6 221.0 241.4 264.5 251.4 243.7 255.3 185.0 214.5 222.9 243.2 268.2 254.6 246.1 256.2 186.5 215.7 227.1 247.6 275.4 2587 249.6 260.7 190.5 220.0 229.7 249.1 277.5 261.3 252.0 262.9 194.2 220.8 12 12-1 12-2 12-3 12-4 12-5 12-6 Furniture and household durables ................................................ Household furniture.................................................................. Commercial furniture................................................................ Floor coverings........................................................................ Household appliances ............................................................... Home electronic equipment ...................................................... Other household durable goods ................................................ 160.4 173.5 201.5 141.6 153.0 90.2 203.1 167.9 181.3 221.2 143.6 158.3 92.3 216.6 168.3 181.8 221.2 144.0 158.8 92.3 217.9 168.7 182.7 221.7 144,4 158.7 92.3 218.6 169.6 184.8 221.9 146.0 159.3 92.4 219.5 170.2 185.3 221.8 146.5 160.0 92.8 220.6 170.7 185.8 222.7 149.1 161.1 90.2 223.7 171.5 186.2 222.7 150.0 162.2 90.2 226.6 172.7 188.5 222.7 150.4 162.7 90.3 231.0 175,1 190.1 223.3 152.1 163.2 90.3 245.6 175.6 192.4 223.3 152.8 164.5 87.9 246.6 177.0 194.3 225.1 152.9 165.2 88.1 252.1 182.1 195.4 227.1 159.8 166.6 88.5 283.1 183.4 196.5 230.1 159.4 168.7 88.7 284.2 13 13-11 13-2 13-3 13-4 13-5 13-6 13-7 13-8 13-9 Nonmetalllc mineral products...................................................... Flat glass .............................................................................. Concrete ingredients ................................................................ Concrete products.................................................................... Structural clay products excluding refractories............................ Refractories .......................................................................... Asphalt roofing ........................................................................ Gypsum products .................................................................... Glass containers ...................................................................... Other nonmetallic minerals.............................................. 222.8 172.8 217.7 214.0 197.2 216.5 292.0 229.1 244.4 275.6 240.5 183.1 238.2 236.4 210.7 227.8 317.8 250.6 250.7 293.7 240.8 183.1 239.8 237.8 212.8 228.3 303.1 251.0 250.7 294.5 243.4 183.1 242.0 240.5 214.8 228.4 316.4 252.2 250.7 300.0 245.6 183.1 242.5 241.6 215.7 228.5 317.9 248.8 265.2 303.0 246.9 184.0 243.3 243.7 216.5 232.6 323.0 251.3 265.2 302.0 249.5 184.1 245.1 245.2 220.3 240.8 328.4 251.8 265.2 310.5 249.9 184.1 245.9 246.3 222.3 241.7 325.9 252.3 265.2 309.9 254.6 184.5 246.7 248.7 223.7 242.4 333.0 254.9 265.2 336.0 256.2 184.7 248.3 250.1 221.1 244.6 337.5 255.3 265.2 341.2 257.1 185.4 248.4 250.5 221.1 248.2 345.9 256.2 265.5 342.2 259.2 186.4 249.9 253.2 226.8 248.7 342.9 255.0 273.6 342.2 268.0 190.9 263.5 264.9 229.6 249.3 356.5 255.4 274.5 351.6 272.6 190.9 265.2 266.2 231.1 251.9 372.3 262.2 274.6 374.3 14 14-1 14-4 Transportation equipment (12/68 = 100)...................................... Motor vehicles and equipment ........................................ Railroad equipment ............................................................ 173.5 176.0 252.8 183.5 185.9 268.0 183.8 186.1 268.9 186.8 189.4 271.7 187.2 189.8 271.6 187.5 190.1 274.7 188.4 190.8 280.6 185.9 187.8 280.9 186.6 188.6 281.6 194.2 197.1 286.3 194.4 197.0 288.2 195.1 197.6 289.0 198.3 200.3 295.0 198.1 199.9 299.3 15 15-1 15-2 15-3 15-4 15-51 15-9 Miscellaneous products................................................................ Toys, sporting goods, small arms, ammunition............................ Tobacco products .................................................................... Notions.............................................................. Photographic equipment and supplies ........................................ Mobile Homes (12/74 = 100) .................................................. Other miscellaneous products .................................................. 184.3 163.2 198.5 182.0 145.7 126.4 210.6 199.8 171.0 213.6 188.2 150.2 132.5 244.0 200.6 171.5 214.0 190.2 150.2 133.8 245.5 201.4 173.2 214.4 190.2 150.1 135.2 246.1 203.3 174.3 214.4 190.6 150.6 137.2 250.6 205.2 174.7 214.4 190.6 151,6 137.9 255.8 207.0 176.9 214.8 192.0 152.0 138.2 261.4 208.9 177.6 221.3 191.9 152.2 139.5 261.4 213.1 179.8 221.9 191.9 154.3 140.7 272.5 218.9 181.1 222.1 195.7 157.4 142.9 288.3 219.0 181.7 221.9 196.0 161.3 143.5 284.9 227.2 183.5 226.3 197.0 164.5 143.6 307.9 242.2 190.4 236.3 203.1 166.0 144.2 349.7 261.8 193.2 236.9 203.2 218.7 146.0 375.3 1Prices for natural gas are lagged 1 month. 2 Includes only domestic production. 3 Most prices for refined petroleum products are lagged 1 month. 4 Some prices for industrial chemicals are lagged 1 month. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 5Not available. NOTE: Data for October 1979 have been revised to reflect the availability of late reports and corrections by respondents. All data are subject to revision 4 months after original publication. 99 MONTHLY LABOR REVIEW April 1980 • Current Labor Statistics: Producer Prices 28. Producer Price Indexes, for special commodity groupings [1967 = 100 unless otherwise specified] Annual All commodities — less farm products.............................. Processed foods .............................................................. Industrial commodities less fuels .......................................... Selected textile mill products (Dec. 1975 - 100) .................. Hosiery .............................................................................. Underwear and nightwear.................................................... Chemicals and allied products, including synthetic rubber and manmade fibers and yarns ........................................ Pharmaceutical preparations................................................ Lumber and wood products, excluding millwork and other wood products ........................................................ Special metals and metal products ...................................... Fabricated metal products.................................................... Copper and copper products................................................ Machinery and motive products............................................ Machinery and equipment, except electrical .......................... Agricultural machinery, including tractors .............................. Metalworking machinery ...................................................... Numerically controlled machine tools (Dec. 1971 = 100) . . . . Total tractors...................................................................... Agricultural machinery and equipment less parts.................... Farm and garden tractors less parts .................................... Agricultural machinery excluding tractors less parts................ Industrial valves .................................................................. Industrial fittings .................................................................. Abrasive grinding wheels...................................................... Construction materials ........................................................ 1980 1979 Commodity grouping 1978 Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan. Feb. 208.4 206.4 206.7 197.2 108.8 106.3 158.9 222.0 225.0 223.5 209.6 110.8 109.9 166.3 224.7 225.9 225.6 211.9 111.6 110.5 167.1 228.0 227.7 227.8 214.7 112.3 112.5 167.3 230.1 226.4 227.5 216.0 112.8 112.5 167.7 232.0 223.8 224.7 217.0 113.5 112.7 168.3 235.4 225.4 226.4 219.0 114.0 114.1 168.5 2375 224.7 224.8 220.3 115.1 113.0 170.8 241.4 228.5 230.8 222.0 115.8 112.7 170.8 245.3 226.9 228.9 225.9 116.4 113.3 171.2 246.7 229.9 231.8 2264 116.1 114.6 171.6 249.2 232.1 234.1 228.1 117.0 115.3 172.9 219.3 219.9 219.8 207.3 109 8 110.1 164.6 260.5 235.7 238.5 237.5 119.4 119.6 177.8 190.5 140.6 198.0 149.0 200.0 149.4 204.1 150.0 207.6 150.1 209.5 151.7 215.0 151.7 218.6 152.0 220.9 153.6 224.3 155.6 2260 155.4 228.6 156.9 196.3 148.1 238.2 160.4 298.3 209.6 216.2 155.6 190.4 317.0 225.6 228.6 188.2 2008 323.7 228.2 230.6 197.9 201.7 326.4 232.7 232.9 212.1 204.1 325.1 232.4 234.6 199.0 205.3 321.7 233.7 235.7 193.0 206.0 325.3 235.5 237.4 191.9 207.7 333.9 234.9 239.8 197.1 2072 341.0 236.4 241.1 200.5 208.5 337.3 243.4 244.0 212.2 213.4 323.5 244.2 244.8 213.6 214.0 310.3 245.9 245.6 216.1 215.4 314.8 222.0 227.0 168.8 199.6 314.0 255.7 2483 258.2 2206 214.3 216.3 228.8 179.1 228.7 212.7 216.1 216.7 2323 232.7 208.1 228.3 226.1 228.5 247.4 190.9 242.5 224.4 225.8 230.9 247.8 249.9 220.2 244.1 227.7 229.6 248.9 192.6 243.1 225.5 226.7 232.1 249.5 252.0 220.3 246.9 230.0 230.8 251.2 192.7 245.4 226.7 228.5 233.0 252.4 255.5 220.3 250.0 231.8 232.1 254.3 195.7 247.7 228.1 230.5 233.6 255.0 259.3 221.6 250.3 232.6 233.8 256.8 195.8 248.2 229.5 231.8 235.7 255.8 260.4 222.8 250.3 235.1 235.8 260.1 202.2 251.2 231.4 233.9 237.6 257.0 260.8 222.8 252.3 236.2 238.4 261.7 204.2 253.8 2337 237.6 239.2 258.2 262.3 224.6 254.3 238.2 243.6 265.6 206.5 256.0 238.4 244,1 243.5 260.1 264.3 224.6 256.6 240.8 246.3 269.5 208.5 261.2 241.0 247.6 245.4 261.8 272.6 239.0 258.5 242.0 247.9 272.5 209.0 260.9 2424 248.8 247.4 261.1 276.8 235.3 256.5 244.1 250.0 276.2 211.3 264.9 244.6 250.4 250.0 265.2 276.8 239.0 255.3 224.9 227.6 245.2 188.9 240.8 223.5 225.6 229.5 245.4 249.9 2202 241,4 250.4 256.0 284.8 215.6 273.5 250.4 256.7 255.6 272.2 280.4 244.0 262.2 NOTE: Data for October 1979 have been revised to reflect the availability of late reports and corrections by respondents. All data are subject to revision 4 months after original publication. 29. Producer Price Indexes, by durability of product [1967 = 100] 1980 Annual average 1978 Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan. Feb. Total durable goods .......................................................... Total nondurable goods...................................................... 204.9 211.9 218.9 227.3 221.0 230.4 223.9 234.1 224.7 236.9 225.8 238.8 227.6 243.7 228.0 2458 230.1 251.1 2346 253.7 234.9 256.0 2366 259.2 243.4 263.0 246.4 270.0 Total manufactures............................................................ Durable...................................................................... Nondurable ................................................................ 204.2 204.7 203.0 217.5 218.0 216.1 219.7 219.8 219.0 223.1 222.7 222.8 225.0 223.8 225.6 226.5 224.6 2278 229.8 226.6 232.5 231.7 227.2 235.9 235.2 2294 241.0 239.0 234.0 244.0 240.2 234.1 2463 242.3 235.8 248.8 248.2 2422 253.8 252.7 245.0 2607 Total raw or slightly processed goods ................................ Durable...................................................................... Nondurable ................................................................ 234.6 209.6 235.6 258.5 253.9 258.0 263.3 273.6 261.6 266,1 272.5 264.7 268.2 262.9 267.6 269.7 272.8 268.5 274.3 265.4 274.0 272.1 259.8 272.0 276.9 255.7 277.5 278.7 259.2 279.2 281.1 265.8 281.3 286.4 267.8 2868 287.5 282.7 286.9 295.9 3052 2942 Commodity grouping 1979 NOTE: Data for October 1979 have been revised to reflect the availability of late reports and corrections by respondents. All data are subject to revision 4 months after original publication. 30. Producer Price Indexes for the output of selected SIC Industries [1967 = 100 unless otherwise specified] 1972 SIC code Industry Description Annual average 1978 Feb. Mar. Apr. May June July Aug. Sept. Oct Nov. Dec. Jan. 1980 Feb. 121.9 126.6 430.2 358.2 194.6 111.8 127.3 168.7 444.4 3972 210.4 125.4 127.3 178.3 445.7 403.8 210.9 125.4 131.9 202.1 447.5 407.6 214.1 125.4 131.9 237.5 451.3 427.2 216.0 125.4 136.0 277.0 452.5 444.1 217.0 125.5 1360 270.8 453.1 457.5 219.3 125.5 138.8 245.8 454.8 476.0 220.1 125.5 1381 252.1 452.9 508.4 221.0 125.5 140.2 275.0 455.1 522.1 224.0 126.7 140.2 252.1 455.8 533.5 224.3 114.7 142.0 300.0 458.1 553.3 225.7 119.7 142.0 3083 458.0 583.2 2380 128 5 147.3 335.4 458.7 597.4 242.1 128.5 216.7 215.2 192.5 205.2 250.8 230.4 204.6 211.1 256.6 235.6 206.1 216.1 265.0 224.4 199.7 224.7 259.2 227.7 2035 225.3 249.1 217.1 177.8 225.3 243.8 214.7 178.4 227.5 229.3 203.4 169.6 237.9 247.2 211.7 171.2 240.6 238.9 211.9 163.1 240.1 241.6 214.2 188 3 241.7 243.9 219.9 1885 243.1 240.7 211.5 186.1 241 9 240.1 2074 178.2 242.8 1979 MINING 1011 1092 1211 1311 1442 1455 Iron ores (12/75 - 100)................................................ Mercury ores (12/75 = 100).......................................... Bituminous coal and lignite ............................................ Crude petroleum and natural gas.................................... Construction sand and gravel ........................................ Kaolin and ball clay (6/76 - 100) .................................. 2011 2013 2016 2021 Meat packing plants ...................................................... Sausages and other prepared meats .............................. Poultry dressing plants .................................................. Creamery butter............................................................ MANUFACTURING See footnotes at end of table. 100 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 30. Continued — Producer Price Indexes for the output of selected SIC Industries [1967 = 100 unless otherwise specified] 1972 SIC code Annual 1979 Industry description 1980 1978 Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan. Feb. 2022 2024 2033 2034 2041 2044 2048 2061 2063 2067 MANUFACTURING - Continued Cheese natural and processed (12/72= 100).............. Ice cream and frozen desserts (12/72 = 100) . . . Canned fruits and vegetables............................ Dehydrated food products (12/73 = 100)...................... Flour mills (12/71 = 100) ...................... Rice milling................................................ Prepared foods, n.e.c. (12/75 = 100)............................ Raw cane sugar .................................. Beet sugar ................................................ Chewing gum ................................ 169.6 154.8 193.2 131.3 147.0 207.6 107.3 190.7 188.5 218.0 179.4 166.7 204.4 181.2 160.5 166.6 118.4 198.2 197.0 242.5 182.5 166.7 205.2 180.9 157.5 171.0 118.3 195.7 198.6 242.5 186.8 167.3 206.2 181.7 158.1 206.8 117.5 197.5 199.3 242.6 185.2 171.0 207.2 182.1 166.7 206.8 115.2 195.6 199.7 242.2 185.6 171.5 207.5 181.0 174.6 206.8 118.9 207.0 199.7 242.2 186.3 171.5 209.9 182.0 190.9 206.8 128.1 209.0 202.0 242.9 195.4 175.0 210.5 180.7 176.9 218.7 119.4 216.8 199.4 242.9 200.8 176.1 212.0 170.0 183.5 223.5 120.9 216.7 200.0 242.9 196.8 177.5 212.9 158.2 184.2 227.3 123.6 224.3 204.7 242.9 193.4 178.4 212.4 156.3 184.9 231.8 124.6 223.3 209.6 262.2 192.6 180.2 212.0 157.3 184.9 218.1 125.3 248.4 223.4 262.2 197.1 180.9 213.5 157.6 181.7 217.5 122.3 260.5 223.5 262.3 194.6 181.5 213.5 159.0 183.6 233.0 122.9 374.9 290.6 262.3 2074 2075 2077 2083 2085 2091 2092 2095 2098 2111 Cottonseed oil m ills.............................................. Soybean oil m ills.................................. Animal and marine fats and oils .................... Malt ............................................ Distilled liquor, except brandy (12/75 = 100) ................ Canned and cured seafoods (12/73 = 100) .................. Fresh or frozen packaged fish ...................................... Roasted coffee (12/72 = 1 0 0 )............................ Macaroni and spaghetti ................................ Cigarettes...................................................... 183.1 225.6 287.9 181.5 106.7 136.4 303.8 262.3 176.9 204.6 204.5 241.2 344.5 190.8 109.4 137.9 361.9 222.5 184.7 221.2 202.8 242.0 362.6 190.8 109.4 138.5 359.4 221.6 184.7 221.3 198.5 244.7 393.1 190.8 109.4 139.2 375.8 220.5 184.7 221.4 192.5 237.7 363.8 190.8 113.6 140.9 382.4 231.7 186.6 221.4 210.4 251.1 335.3 201.4 113.6 142.1 397.6 244.2 188.6 221.4 224.5 262.8 352.0 201.4 113.6 148.5 403.7 271.0 203.5 221.5 214.1 250.0 321.4 201.4 115.7 148.2 391.5 279.2 210.4 228.9 217.9 248.6 333.8 214.9 117.1 154.0 389.2 279.2 210.4 229.1 214.9 244.7 333.7 214.9 117.1 154.3 400.1 280.0 210.4 229.2 204.7 242.6 315.2 228.2 118.1 155.6 392.4 287.5 221.5 229.2 205.6 241.8 300.7 228.2 118.1 159.8 389.3 287.5 227.7 234.3 182.2 230.2 296.0 244.1 118.6 160.9 390.7 281.3 227.7 245.8 184.3 226.2 292.6 244.1 1187 164.0 386.6 273.9 227.7 245.9 2121 2131 2211 2221 2251 2254 2257 2261 2262 2271 Cigars ............................................ Chewing and smoking tobacco.............................. Weaving mills, cotton (12/72 = 100) .......................... Weaving mills, synthetic (12/77 = 100) ........................ Women’s hosiery, except socks (12/75 = 100).............. Knit underwear mills .......................................... Circular knit fabric mills (6/76 = 100)............................ Finishing plants, cotton (6/76 = 100) ........................ Finishing plants, synthetics, silk (6/76 = 100) ................ Woven carpets and rugs (12/75 = 100).................... 141.4 222.0 181.1 109.0 91.5 164.1 98.5 111.0 101.4 114.7 143.0 236.4 190.1 112.7 94.3 169.9 91.7 117.4 105.0 115.8 145.0 240.9 190.4 112.4 94.4 172.6 93.9 118.2 105.2 116.0 145.4 245.9 191.8 113.3 97.3 172.8 93.2 119.0 105.9 116.0 145.4 245.9 192.7 113.6 97.3 173.1 94.1 120.8 106.3 116.7 145.3 245.9 194.3 114.1 97.6 173.3 95.8 120.9 107.0 117.1 149.8 246.4 196.1 116.2 99.6 172.9 96.1 122.5 107.5 n 150.1 246.4 196.5 116.3 98.1 174.0 96.4 123.2 108.2 ( 1) 150.1 255.8 198.7 116.2 97.5 174.0 96.2 124.0 108.3 ( 1) 149.8 260.4 201.1 116.8 98.2 174.3 96.9 126.1 109.3 (’ ) 147.2 260.8 200.1 116.9 100.3 174.6 96.4 123.1 108.9 147.2 260.8 200.8 117.3 100.2 178.2 98.4 123.4 109.2 147.9 260.9 203.1 117.6 103.6 182.9 98.8 124.9 109.8 151.6 265.1 206.5 117.8 103.6 184.5 100.0 129.5 109.3 2272 2281 2282 2284 2298 2311 2321 2322 2323 2327 Tufted carpets and rugs.............................. Yarn mills, except wool (12/71 =100) ................ Throwing and winding mills (6/76 = 100) .......... Thread mills (6/76 = 100).................. Cordage and twine (12/77 = 100)...................... Men’s and boys' suits and coats........................ Men's and boys’ shirts and nightwear................ Men s and boys underwear............................ Men's and boys’ neckwear (12/75 = 100) .......... Men s and boys’ separate trousers.................... 125.3 167.4 99.2 114.6 99.3 194.3 180.8 180.6 102.3 152.7 126.0 171.4 102.7 120.3 98.6 199.6 191.4 184.6 103.4 157.8 126.5 172.3 106.0 120.3 98.6 199.9 191.6 188.7 103.4 157.8 127.0 173.1 104.4 120.4 101.7 203.9 191.8 188.7 103.4 162.3 127.7 174.5 106.3 120.4 102.8 204.2 192.4 188.7 103.4 162.3 128.1 175.7 107.5 120.4 105.4 204.5 193.5 188.7 103.4 162.5 127.6 177.5 108.5 120.5 105.4 205.8 194.7 188.7 103.4 162.5 128.6 177.4 109.7 128.1 113.5 206.5 195.9 190.0 110.9 162.7 129.0 179.4 111.2 1281 115.1 206.5 196.0 190.0 110.9 162.7 129.8 181.2 110.4 128.4 114.9 206.6 196.1 190.0 110.9 162.9 130.0 182.9 111.0 128.4 114.9 206.8 194.7 190.0 110.9 163.4 130.1 184.6 109.2 128.5 115.0 206.6 194.5 194.0 110.9 163.4 135.6 188.3 109.3 128.7 115.0 207.5 198.8 200.0 112.4 164.2 135.2 197.4 108.8 129.2 117.2 209.6 196.6 202.2 112.4 174.3 2328 2331 2335 2341 2342 2361 2381 2394 2396 2421 Men's and boys’ work clothing.................... Women’s and misses’ blouses and waists (6/78 = 100) . Women’s and misses’ dresses (12/77 = 100) Women's and children's underwear (12/72 = 100) ........ Brassieres and allied garments (12/75 = 100) .. Children’s dresses and blouses (12/77 = 100) Fabric dress and work gloves........................ Canvas and related products (12/77 = 100).............. Automotive and apparel trimmings (12/77 = 100) Sawmills and planing mills (12/71 = 100) .. 195.2 100.7 132.1 111.7 ( ') 214.4 99.6 106.3 228.9 199.8 99.1 104.9 142.3 116.0 105 4 232.2 105.9 107.1 241.9 200.0 99.2 106.6 142.3 116.0 105.5 232.2 105.9 107.1 249.5 206.5 99.1 106.6 142.6 116.1 106.7 241.5 105.9 107.1 252.5 206.5 100.3 105.9 143.3 116,2 106.7 243.9 105.9 107.1 251 6 209.0 100.5 105.9 143.3 117.5 102.1 243.9 106.9 114.3 250.9 208.9 102.6 106.4 144.2 117.5 102.4 245.4 108.4 114.3 251.3 210.7 102.7 108.3 145.3 117.8 102.4 245.4 111.0 114.3 259.1 210.9 102.8 108.3 145.3 117.8 103.7 245.4 111.4 114.3 265.6 213.4 103.0 108.7 146.7 117.8 105.7 245.4 112.3 114.3 262.2 218.9 105.9 108.8 147.4 117.8 105.7 246.9 112.1 114.3 250.1 219.4 106.8 108.8 147.7 118.8 105.6 246.9 120.1 114.3 237.5 225.3 107.0 112.9 149.4 119.7 106.1 257.7 122.1 114.3 234.8 234.1 107.2 113.9 150.1 123.0 105.3 261.7 122.8 1143 239.6 2436 2439 2448 ¿451 2492 2511 2512 2515 2521 2611 Softwood veneer and plywood (12/75 = 100) . . . Structural wood members, n.e.c. (12/75 = 100) Wood pallets and skids (12/75 = 100)............ Mobile homes (12/74 = 100).......... Particleboard (12/75 = 100) ................ Wood household furniture (12/71 = 100) .. Upholstered household furniture (12/71 = 100),.. Mattresses and bedsprings...................... Wood office furniture...................... Pulp mills (12/73 = 100).................... 150.1 136.2 149.4 126.5 159.7 152.4 143.1 156.3 194.4 178.5 162.2 148.1 161.8 132.5 141,9 160.3 146.9 162.9 213.1 187.3 160.1 148.3 163.8 133.8 142.7 160.9 147.6 162.9 213.1 189.9 157.3 150.1 166.8 135.3 143.8 162.7 147.4 163.1 214.2 192.5 151.1 1501 166.7 137.3 141.6 164.6 149.2 163.2 214.3 195.2 140.7 150.0 167.0 138.0 137.4 164.0 149.4 164.1 214.2 196.6 148.1 150.0 166.9 138.2 134.3 164.5 150.0 164.5 216.8 205.4 153.4 149.9 166.8 139.6 134.7 164.6 150.2 165.8 216.8 205.7 156.0 150.8 167.9 140.7 138.5 168.0 151.6 165.8 216.8 205,8 153.1 158.2 167.9 143.0 139.5 169.3 151.8 168.9 217.6 213.5 143.3 158.2 171.0 143.5 136.9 171.3 153.9 172.1 217.6 215.6 138.7 158.2 170.5 143.6 134.1 173.6 155.8 172.1 221.9 215.6 138.5 158.2 169.8 144.2 136.5 175.7 155.9 169.7 226.2 227.2 143.9 158.2 167.0 146.1 149.0 177.4 156.6 169.7 233.7 227.0 2621 2631 2647 2654 2655 2812 2821 2822 2824 2873 Paper mills, except building (12/74 = 100)........ Paperboard mills (12/74 = 100) .................. Sanitary paper products.......................... Sanitary food containers .................................. Fiber cans, drums, and similar products (12/75 = 100) .. Alkalies and chlorine (12/73 = 100) . Plastics materials and resins (6/76 = 100) . . . Synthetic rubber .................................... Organic fiber, noncellulosic...................... Nitrogenous fertilizers (12/75 = 1 0 0 ) .................. 115.7 106.4 251.4 170.8 123.0 198.8 103.8 180.5 107.6 96.6 124.7 112.9 267.6 179.4 130.4 203.2 106.9 191.4 111.0 96.6 126.0 114.4 269.2 179.5 130.8 201.8 109.2 192.7 111.5 98.0 128.5 117.1 270.8 184.1 130.9 203.7 113.8 196.5 113.1 101.5 129.3 118.1 271.7 189.1 132.2 204.9 117.7 200.9 115.9 101.9 129.5 118.5 271.9 189.1 134.0 206.3 118.6 206.6 117.4 101.4 130.2 119.7 2764 189.6 136.6 209.5 124.9 214.2 118.6 102.8 131.0 121.9 285.9 189.6 136.6 212.2 1278 2234 119.8 104.1 131.4 123.4 2854 191.8 136 6 213.1 128.9 223.8 123.5 106.1 135.1 125.4 286.3 195.8 138.5 214.1 132.9 225.7 123.6 108.0 136.7 126.4 286.5 198.1 137.2 216.5 133.9 227.0 124.1 111.7 137.0 127.7 289.1 199.9 140.9 217.1 134.3 229.4 123.5 113.6 139.2 131.4 294.0 202.6 143.2 220.3 138.2 240.0 124.3 114.5 140.0 132.3 303.8 202.6 143.2 224.9 139.3 243.2 124.8 119.4 2874 2875 2892 2911 2951 2952 3011 Phosphatic fertilizers ...................................... Fertilizers, mixing only .............................. Explosives ...................................... Petroleum refining (6/76 = 100) ............ Paving mixtures and blocks (12/75 = 100) . Asphalt felts and coatings (12/75) = 100) .................. Tires and inner tubes (12/73 = 100) . .. 166.0 181.9 217.3 119.6 117.1 128.2 154.0 173.3 187.5 227.1 1293 124.8 139.3 166.2 179.1 192.8 226.9 132.8 125.9 132.8 167.1 185.2 197.3 227.9 138.8 128.5 138.6 168.0 185.1 197.8 239.0 146.6 130.1 139.3 169.2 184.2 197.8 239.3 155.1 131.2 141.6 170.6 188.9 198.1 240.1 165.5 134.4 143.6 176.8 199.4 205.6 240.7 176.6 134.9 142.7 181.2 204.3 211.1 250.3 188.9 141.6 145.8 184.2 213.2 218.3 250.8 196.4 145.6 147,6 186.9 221.2 226.9 251.8 200.9 145.6 151.6 190.9 2234 227.1 252.7 204.8 145.7 150.4 191.0 230.0 233.8 253.9 213.6 150 0 156.1 192.7 233.9 240,8 255.5 228.7 157.3 162.4 198.2 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 101 MONTHLY LABOR REVIEW April 1980 • Current Labor Statistics: Producer Prices 30. Continued — Producer Price Indexes for the output of selected SIC Industries [1967 = 100 unless otherwise specified] Annual 1972 SIC code Industry description 3021 3031 3079 3111 3142 3143 3144 3171 3211 3221 Rubber and plastic footwear (12/71 - 100) .................................... Reclaimed rubber (12/73 - 100) .................................................... Miscellaneous plastic products (6/78 - TOO).................................... Leather tanning and finishing (12/77 - 100) .................................... House slippers (12/75 - 100) ...........'............................................ Men’s footwear, except athletic (12/75 100) ................................ Women's footwear, except athletic .................................................. Women's handbags and purses (12/75 - 100) ................................ Flat glass (12/71 - 100) ................................................................ Glass containers ............................................................................ 3241 3251 3253 3255 3259 3261 3262 3263 3269 3271 1980 1979 1978 Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan. Feb, 158.7 154.3 119.1 122.5 127.1 164.1 111.4 142.7 244.3 169.0 161.3 103.4 143.7 134.7 141.0 178.4 123.0 150.8 250.7 169.0 162.1 105.4 173.8 136.3 145.6 189.2 123.0 150.8 250.7 169.0 164.5 107.5 182.9 136.3 147.6 190.3 123.0 150.8 250.7 169.5 167.6 109.0 201.3 138.5 152.8 192,2 131,7 150.8 2652 169.6 169.1 110.7 195.8 142.0 155.4 195.4 131.8 151.8 265.2 171.0 169.2 111.4 181.8 135.0 155.4 198.7 131.8 151.9 265.2 173,4 169.2 112.3 172.9 135.0 158.2 201.5 131.8 151.9 265.2 173.4 177.7 113.1 155.2 135.0 160.1 201.6 131.8 152.3 265.2 173.5 178.8 114.3 161.9 135.8 160.4 202.3 131.8 152.6 265.2 173.4 177.1 114.1 150.8 137.0 159.2 204.0 131.8 153.3 265.5 173.4 177 4 115.6 153.5 137.0 159.2 204.0 131.8 153.9 273.6 173.7 177.6 116.6 164.3 144.8 159.3 205.7 131.9 157.4 274.5 173.8 177.9 116.8 160.8 146.7 157,9 206.4 131.9 157.4 274.5 Cement, hydraulic .......................................................................... Brick and structural clay tile ............................................................ Ceramic wall and floor tile (12/75 = 100) ........................................ Clay refractories ............................................................................ Structural clay products, n.e.c............................................................ Vitreous plumbing fixtures................................................................ Vitreous china food utensils.............................................................. Fine earthenware food utensils ........................................................ Pottery products, n.e.c. (12/75 - 100) ............................................ Concrete block and brick ................................................................ 251.2 230.8 107.7 221.4 176.3 189.7 2688 228.1 122.2 202.0 278.8 250.9 111.6 233.2 184.4 198.6 290.6 237.0 129.2 223.1 280.3 252.8 113.0 234.1 186.7 198.9 290.6 237.1 129.2 227.0 283.1 256.7 113.0 234.4 186.8 201.6 290.6 237.1 129.2 230.8 283.2 258.3 113.0 234.6 186.8 204.6 290.6 237.1 129.2 232.6 283.7 259.7 113.0 236.9 187.8 206.4 290.6 236.4 129.0 232.7 285.4 261.0 120.2 246.5 188.2 210.1 297.5 238.8 131.0 232.7 285.4 263.3 120.2 246.7 192.1 212.4 297.5 238.8 131.0 235,7 285,4 265.9 120.2 247.1 192.1 213.1 298.0 246.0 133.3 237.8 285.4 261.3 120.2 251.0 192.8 214.5 298.0 246.0 133.3 240.0 282.9 261.3 120.2 254.4 192.6 215.7 305.3 246.9 135.0 240.0 283.6 262.7 130.3 255.4 196.9 217.3 307.9 290.3 148.8 240.1 302,8 268.3 130.4 256.5 196.7 219.2 307.9 290.3 148.8 249.5 303.2 270.4 130.4 260.9 198.6 224.6 307.9 290.3 148.8 250.6 3273 3274 3275 3291 3297 3312 3313 3316 3317 3321 Ready-mixed concrete .................................................................... Lime (12/75 - 100)........................................................................ Gypsum products............................................................................ Abrasive products (12/71 - 100).................................................... Nonclay refractories (12/74 - 100) ................................................ Blast furnaces and steel mills .......................................................... Electrometallurgical products (12/75 - 100) .................................... Cold finishing of steel shapes .......................................................... Steel pipes and tubes...................................................................... Gray iron foundries (12/68 - 100) .................................................. 217.6 129.5 229.5 172.3 133.6 262.3 94.8 241.0 255,2 233.5 241.1 136.6 251.1 182.2 140.3 280.3 104.0 258.3 265.1 244.7 241.7 137.5 251.5 182.4 140.4 281.1 104.0 258.4 265.8 249.4 244.5 139.9 252.7 184.0 140.5 283.5 106.8 259.1 265.0 253.9 245.2 139.8 249.4 185.1 140.5 285.3 111.7 259.8 264.5 253.3 247.5 140.1 251.9 185.8 143.9 285.8 112.3 261.3 264.5 254.5 249.6 141.8 252.3 187.7 148.1 292.8 116,5 270.6 271.9 253.9 250.5 142.9 252.8 188.6 149.1 293.0 116.5 270.8 271.3 253.8 252.4 144.2 255.4 190.4 149.7 293.2 116.0 270.9 271.3 254.8 254.0 144.6 255.9 195.1 150.1 296.4 116.2 271.7 272.7 267.1 254.5 144.4 256.8 194.7 152.3 297.0 117.5 273.2 272,8 266.0 257.0 144.7 255.6 197.1 152.4 297.6 117.6 273.9 273.0 268.3 270.1 149.6 255.9 199.2 152.6 302.3 117.8 274.2 280.9 272.3 271.9 153.7 262.8 202.2 153.3 302.9 117.8 277.2 281.2 275.4 3333 3334 3351 3353 3354 3355 3411 3425 3431 3465 Primary zinc.................................................................................... Primary aluminum .......................................................................... Copper rolling and drawing.............................................................. Aluminum sheet plate and foil (12/75 - 100) .................................. Aluminum extruded products (12/75 - 100) .................................... Aluminum rolling, drawing, n.e.c. (12/75 - 100)................................ Metal cans .................................................................................... Hand saws and saw blades (12/72 - 100)...................................... Metal sanitary ware ........................................................................ Automotive stampings (12/75 - 100) .............................................. 223.2 217.4 170.2 137.6 134.3 119.7 238.5 147.9 209.1 118.8 260.6 226.1 199.9 146.4 141.6 126.5 253.9 157.8 217.4 125.0 260.9 232.4 211.0 146.5 142.5 127.5 260.9 157.9 219.2 125.7 274.2 235.8 220.1 148.0 146.1 129.6 264.4 159.6 220.8 126.2 274.5 237.4 215.6 148.7 147.5 131.5 263.8 161.9 222.2 127.0 275.2 238.5 211.7 148.8 147.6 131.6 262.2 162.5 224,1 127.1 281.4 244.9 211.2 149.6 150.3 132.7 262.2 162.8 226,4 127.8 265.5 247.4 213.6 149.8 151.9 133.1 262.9 166.3 228.9 130.9 264.2 248.2 216.7 150.0 151.9 133.5 2635 166,4 229.2 131.6 265.2 256,0 226.3 150.7 155.2 136.9 273.8 167.1 230.1 132.4 257.9 263.2 222.7 151.5 157.3 139.9 273.8 169.4 231.7 132.7 265.7 266.6 225.1 151.9 157.8 140.3 273.9 169.6 232.9 132.7 266,1 267.0 231.1 153.4 158.8 140.5 276.6 173.0 237.3 132.8 272.4 267.0 253.2 153.5 158.9 140.8 276.6 173.6 242.1 132.8 3482 3493 3494 3498 3519 3531 3532 3533 3534 3542 Small arms ammunition (12/75 - 100) ............................................ Steel springs, except wire................................................................ Valves and pipe fittings (12/71 -1 0 0 ) ............................................ Fabricated pipe and fittings.............................................................. Internal combustion engines, n.e.c...................................................... Construction machinery (12/76 - 100) ............................................ Oilfield machinery and equipment .................................................... Elevators and moving stairways ...................................................... Machine tools, metal forming types (12/71 - 100)............................ 119.5 204.6 185.5 265.5 220.1 114,0 209.5 246.2 204.2 213.6 129.3 212.6 197.6 276.7 233,8 121.1 223.4 281.4 214.1 233.3 125.9 216.7 199.0 276.8 234.0 121.6 224.2 281.8 213.4 234.1 128.3 218.1 201.4 284.9 237.1 123.0 2280 283.5 213.8 237.9 130.4 218.7 203.6 288.2 239.0 123.9 228.4 2884 213.6 238.8 131.4 220.5 204.2 290.7 239.2 124,0 226.4 290.0 214.2 240.6 134.0 221.6 205.3 294.8 242.3 125.6 231.2 292.0 215.4 244.6 134.0 222.1 206.2 294.8 245.7 126.3 231.5 2933 214.6 245.1 134.0 2228 207.5 294.9 251.8 126.5 2327 296.8 21.9.1 247.9 133.2 223.7 210.4 297.3 254.2 128.9 233.1 300.5 219.4 249.8 137.9 223.9 211.6 297.4 253.7 129.0 234.7 301.3 220.6 253.5 149.2 225.4 213.9 297.4 253.7 130.7 235.8 308.0 220.9 256.7 147.9 226.0 216.5 301.7 259.2 134.2 243.1 314.0 223.9 266.0 147.9 226.5 218.8 301.8 260.5 135.3 244.2 308.0 220.9 256.7 3546 3552 3553 3576 3592 3612 3623 3631 3632 3633 Power driven hand tools (12/76 = 100) .......................................... Textile machinery (12/69 - 100) .................................................... Woodworking machinery (12/72 - 100) .......................................... Scales and balances, excluding laboratory........................................ Carburetors, pistons, rings, valves (6/76 - 100) .............................. Transformers.................................................................................. Welding apparatus, electric (12/72 = 100) ...................................... Household cooking equipment (12/75 - 100) .................................. Household refrigerators, freezers (6/76 - 100) ................................ Household laundry equipment (12/73 - 100) .................................. 111.1 179.9 168.1 179.7 128.2 158.3 178.1 114.8 109.6 141.0 116.3 189.6 177.3 191.1 135.7 165.4 186.0 119.2 112.5 146.3 116.9 190.4 179.2 191.1 136.9 167.0 186.6 120.2 112.7 146.9 117.7 191.6 181.0 191.3 137.6 168.5 187.3 120.3 111.8 146.9 117.8 191.7 183.2 192.8 138.6 168.0 191.5 120.7 111.9 147,0 118.7 192.6 184.5 193.7 138.7 168.5 191.9 120.9 112.6 147.2 119.2 195.0 185.9 194.8 139.2 167.9 193.5 122.0 113.6 148.8 120.2 197.5 187.7 195.4 139.6 167.6 194.1 123.4 114.3 149.9 120.4 198.2 190.0 195.4 140.7 168.4 195.1 124.3 115.1 150.6 122.0 199.3 192.6 195.7 142.8 171.2 196.9 124.4 115.1 150.9 122.7 200.6 193.1 196.6 143.5 170.5 197.9 125.8 115.3 153.5 124.2 200.6 193.3 197.7 144.6 171.7 199.6 126.1 115.9 154.7 126.2 202.7 201.7 200.9 147.3 173.0 '200.6 128.6 116.6 155.2 124.2 200.6 219.3 197.7 144.6 171.7 199.6 126.1 115.9 154.7 3635 3636 3641 3644 3646 3648 3671 3674 3675 3676 Household vacuum cleaners............................................................ Sewing machines (12/75 - 100) .................................................... Electric lamps ................................................................................ Noncurrent-carrying wiring devices (12/72 - 100) ............................ Commercial lighting fixtures (12/75 - 100) ................................ Lighting equipment, n.e.c. (12/75 — 100).......................................... Electron tubes receiving type .......................................................... Semiconductors and related devices ................................................ Electronic capacitors (12/75 - 100) ................................................ Electronic resistors (12/75 - 100) .................................................. 135.5 111.2 214.7 185.8 112.7 114.6 200.9 85.3 111.5 118.3 138.1 119.8 226.8 197.1 119.6 121.9 210.9 84.2 114,4 122.8 140.4 119.8 227.1 198.0 121.2 122.3 211.0 84.4 115.9 123.1 140.4 121.1 229.8 200.4 124.3 123.5 211.2 84.7 119.8 123,2 141.2 121.1 229.8 202,6 126.8 124.0 211.3 84.7 120.1 123.2 141.5 121.1 2297 203.0 127.4 124.6 226.4 84.7 122.1 123.2 141.6 121.8 240.8 203.3 127.9 127.6 226.5 84.2 126.7 124.0 141.7 122.2 244.3 207.7 127.9 128.2 2266 84.3 129.3 124.6 141.9 122.2 242.7 209.1 130.5 128.5 227.2 84.7 134.1 125.2 144.5 122.6 244.8 210.5 131.4 129.6 227.2 85.1 133.9 126.6 144.7 122.0 240.8 214.2 132.0 129.8 2273 85.0 134.9 127.8 145.8 122.0 240.5 217.3 132.3 130.5 227.6 86.0 137.9 127.3 146.2 122.0 248.3 215.2 133.9 133.0 229 1 86.6 147.7 127.4 145.8 122.0 240.5 217.3 132 3 130.5 227.6 86.0 137.9 127.3 3678 3692 3711 3942 3944 3955 3995 3996 Electronic connectors (12/75 - 100) .............................................. Primary batteries, dry and wet ........................................................ Motor vehicles and car bodies (12/75 = 100) .................................. Dolls (12/75 - 100) ...................................................................... Games, toys, and children’s vehicles................................................ Carbon paper and inked ribbons (12/75 - 100)................................ Burial caskets (6/76 - 100)............................................................ Hard surface floor coverings (12/75 - 100) .................................... 118.9 162.0 115.9 103.2 172.3 105.1 113.0 116.3 125.4 162.7 122.3 109.0 178.8 114.3 120.9 120.7 125.6 164.8 1223 108.6 179.2 115.5 120.9 120.7 125.8 167.9 124.5 109.3 179.6 119.6 121.0 120.7 126.6 172.1 124.6 109.3 182.3 120.2 121.7 123.7 126.9 172.7 124.8 109.3 183.1 116.7 121.7 124.5 133.4 172.8 125.1 111.8 183.5 117.1 123.3 128.3 134.1 172,8 122.1 112.6 184.4 118.3 123.8 128.3 137.6 172.8 122.5 112.6 185.1 118.7 124.8 128.3 138.9 173.1 130.2 112.9 186.2 123.1 123.1 131.0 140.7 173.1 129.8 113.0 186.3 125.5 124.8 134.1 141.0 174.1 130.0 113.0 186.6 125.6 124.8 134.1 143.6 174.2 132.5 121.2 195.5 126.5 128.3 138.6 141.0 171.1 130.0 113.0 186.6 125.6 124.8 134.1 1Not available. 102 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis NOTE: Data for October 1979 have been revised to reflect the availability of late reports and corrections by respondents. All data are subject to revision 4 months after original publication. P R O D U C T IV IT Y D A TA P roductivity data are compiled by the Bureau of Labor Statistics from establishment data and from estimates of com pensation and output supplied by the U.S. Department of Commerce and the Federal Reserve Board. Definitions O u t p u t is the constant dollar gross domestic product produced in a given period. Indexes of o u tp u t p er h o u r o f la b o r in p u t, or labor pro ductivity, measure the value of goods and services produced per hour of labor. C o m p e n s a tio n p er h o u r includes wages and salaries of em ployees plus employers’ contributions for social insurance and private benefit plans. The data also include an estimate of wages, salaries, and supplementary payments for the self-employed, except for nonfinancial corporations, in which there are no self-employed. R e a l c o m p e n s a tio n p er h ou r is compensation per hour adjusted by the Consumer Price Index for All Urban Consumers. U n it la b o r c o s t measures the labor compensation cost required to produce one unit of output and is derived by dividing compensation by output. U n it n o n la b o r p a y m e n ts include profits, depreciation, in terest, and indirect taxes per unit of output. They are computed by subtracting compensation of all persons from the current dollar gross domestic product and dividing by output. In these tables, U n it n o n la b o r c o s t s contain all the components of unit nonlabor payments except unit profits. U n it p r o fits include corporate profits and invento ry valuation adjustments per unit of output. The im p lic it p r ic e d e fla to r is derived by dividing the current dollar estimate of gross product by the constant dollar estimate, making the deflator, in effect, a price index for gross product of the sector reported. 31. The use of the term “man-hours” to identify the labor component of productivity and costs, in tables 31 through 34, has been discontin ued. H o u r s o f a ll p e r so n s is now used to describe the labor input of payroll workers, self-employed persons, and unpaid family workers. O u tp u t p er a ll- e m p lo y e e h o u r is now used to describe labor productiv ity in nonfinancial corporations where there are no self-employed. Notes on the data In the private business sector and the nonfarm business sector, the basis for the output measure employed in the computation of output per hour is Gross Domestic Product rather than Gross National Product. Computation of hours includes estimates of nonfarm and farm proprietor hours. Output data are supplied by the Bureau of Economic Analysis, U.S. Department of Commerce, and the Federal Reserve Board. Quarterly manufacturing output indexes are adjusted by the Bureau of Labor Statistics to annual estimates of output (gross product originating) from the Bureau of Economic Analysis. Compensation and hours data are from the Bureau of Economic Analysis and the Bureau of Labor Statistics. Beginning with the September 1976 issue of the R ev ie w , tables 3 1 34 were revised to reflect changeover to the new series— private busi ness sector and nonfarm business sector— which differ from the previously published total private economy and nonfarm sector in that output imputed for owner-occupied dwellings and the household and institutions sectors, as well as the statistical discrepancy, are omitted. For a detailed explanation, see J. R. Norsworthy and L. J. Fulco, “New sector definitions for productivity series,” M o n th ly L a b o r R ev ie w , October 1976, pages 40-42. Indexes of productivity and related data, selected years, 1950-79 [1967 = 100] Item Private business sector: Output per hour of all persons .................... Compensation per hour ................................ Real compensation per hour...................... Unit labor c o st.................................. Unit nonlabor payments ............................ Implicit price deflator ...................................... Nonfarm business sector: Output per hour of all persons ........................ Compensation per hour .............................. Real compensation per hour............................ Unit labor co s t............................................ Unit nonlabor payments .................................. Implicit price deflator .............................. Nonfinancial corporations: Output per hour of all employees .................... Compensation per hour .................................. Real compensation per hour............................ Unit labor c o st.............................................. Unit nonlabor payments .................................. Implicit price deflator .................................... Manufacturing: Output per hour of all persons ........................ Compensation per hour .................................. Real compensation per hour........................ Unit labor c o s t................................................ Unit nonlabor payments .................................. Implicit price deflator ...................................... 1950 1955 1960 1965 1970 1972 1973 1974 1975 1976 1977 1978 1979 61.0 42.4 58.9 69.6 73.2 70.8 70.3 55.8 69.6 79.4 80.5 79.8 78.7 71.9 81.1 91.3 85.5 89.3 95.0 88,7 93.8 93.3 95.9 94.2 104.2 123.1 105.8 118.2 105.8 113.9 111.4 139.7 111.5 125.4 119.0 123.2 113.6 151.2 113.6 133.1 124.9 130.3 110.1 164.9 111.7 149.8 130.4 143.1 112.4 181.3 112.5 161.3 150.4 157.5 116.4 197.2 115.6 169.4 158.0 165.5 118.6 213.0 117.3 179.6 165.6 174.8 119.2 231.2 118.3 194.0 174.3 187.2 118.1 252.8 116.3 r 214.0 r 184.6 203.8 66.9 45.4 63.0 67.9 71.5 69.1 74.3 58.7 73.2 79.1 80.1 79.4 80.9 74.2 83.7 91.7 84.5 89.2 95.9 89.4 94.6 93.2 95.8 94.1 103.0 121.7 104.6 118.1 106.0 114.0 110.1 138.4 110.4 125.7 117.5 122.9 112.0 149.2 112.1 133.2 117.8 127.9 108.5 162.8 110.2 150.0 124.7 141.4 110.5 178.9 111.0 161.8 146.0 156.4 114.4 193.8 113.7 169.4 156.0 164,8 116.2 209.3 115.3 180.1 163.9 174.5 116.8 227.3 116.3 194.5 169.9 186.1 115.5 247.6 113.9 214.3 178.8 202.2 (’ ) <1 ) 96.8 90.0 95.3 93.0 100.1 95.5 103.5 121.5 104.4 117.4 103.5 112.5 110.5 136.7 109.1 123.7 114.8 120.5 112.8 147.5 110.8 130.7 116.8 125.8 108.5 161.4 109.3 148.8 124.8 140.2 111.9 177.4 110.1 158.6 148.1 154.9 115.5 192.2 112.7 166.4 156.8 163.0 116.8 207.6 114.4 177.7 164.4 173.0 117.9 224.8 115.0 190.6 170.6 183.5 p 117.5 98.3 91.0 96.3 92.6 103.3 95.9 104.5 121.8 104.7 116.5 96.2 110.3 115.7 136.6 109.0 118.1 107.4 114.8 118.8 146.4 110.0 123.2 106.4 118.0 112.6 161.1 109.1 143.1 105.6 131.6 118.2 180.2 111.8 152.4 128.4 145.1 123.4 195.1 114.5 158.2 139.6 152.5 127.2 212.0 116.8 166.6 147.4 160.7 128.0 229.5 117.5 179.4 152.4 171.1 (’ ) r i n <’ ) 80.2 75.7 85.4 94.3 90.8 93.1 74.1 60.5 75.4 81.6 88.6 83.8 78.9 77.1 87.0 97.7 92.4 96.1 (’ > (’ ) (’ ) n ( 1) n 65.0 45.1 62.5 69.4 82.4 73.3 p244.7 p 112.6 p208,3 p 179.8 p 198.2 130.2 250.5 115.2 192.4 ( ) 1 (’ ) 1Not available. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 103 M O N T H L Y L A B O R R E V IE W A pril 1980 • C u r r e n t L a b o r S t a t is ti c s : P r o d u c t i v i t y 32. Annual percent change in productivity and related data, 1969-79 Annual rate of change Year Item Private business sector: Output per hour of all persons .. Compensation per ho u r............ Real compensation per hour Unit labor cost.......................... Unit nonlabor payments............ Implicit price deflator ................ Nonfarm business sector: Output per hour of all persons . . Compensation per ho u r............ Real compensation per hour Unit labor cost.......................... Unit nonlabor payments............ Implicit price deflator................ Nonfinancial corporations: Output per hour of all employees Compensation per h o u r............ Real compensation per hour Unit labor cost.......................... Unit nonlabor payments............ Implicit price deflator................ Manufacturing: Output per hour of all persons .. Compensation per h o u r............ Real compensation per hour Unit labor cost.......................... Unit nonlabor payments.............. Implicit price deflator ................ 1950-78 1960-78 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 0.2 6.8 1.4 6.6 1.0 4.7 0.7 7.1 1.1 6.4 1.2 4.7 3.3 6.7 2.4 3.3 6.8 4.4 3.5 6.3 2.9 2.8 5.2 3.6 1.9 8.2 1.9 6.2 5.0 5.8 -3.0 9.1 -1.7 12.5 4.4 9.8 2.1 9.9 .7 7.7 15.3 10.1 3.5 8.8 2.8 5.0 5.1 5.0 1.9 8.0 1.5 6.0 4.8 5.6 0.5 8.5 0.8 8.0 5.3 7.1 -0.9 9.3 -1.7 '10.3 '5.9 8.9 2.6 5.8 2.6 3.2 2.8 3.1 2.2 6.8 2.1 4.5 4.0 4.3 -.3 6.3 .9 6.7 .4 4.5 .1 6.7 .7 6.5 1.6 4.9 3.1 6.7 2.3 3.5 6.7 4.5 3.7 6.5 3.1 2.8 3.8 3.1 1.7 7.8 1.5 6.0 .3 4.1 -3.1 9.1 -1.7 12.7 5.9 10.5 1.9 9.9 .7 7.9 17.1 10.6 3.5 8.3 2.4 4.7 6.9 5.4 1.6 8.0 1.4 6.3 5.0 5.9 .5 8.6 ,9 8.0 3.7 6.6 -1.2 8.9 -2.1 10.2 5.2 '8.6 2.2 5.5 2.3 3.2 2.8 3.1 2.0 6.5 1.9 4.5 39 4.3 .3 6.7 1.2 6.3 0 4.1 -.1 6.7 .7 6.8 .5 4.6 3.4 6.2 1.9 2.7 7.3 4.2 3.3 5.9 2.5 2.5 3.3 2.8 2.1 7.9 1.6 5.7 1.8 4.4 -3.8 9.4 -1.4 13.8 6.8 11.5 3.1 10.0 .7 6.6 18.7 10.5 3.2 8.3 2.4 4.9 5.8 5.2 1.1 8.0 1.5 6.8 4.9 6.1 1.0 8.3 .6 7.3 3.8 6.1 P-.4 08.9 » -2.1 0 9.3 0 5.4 08.0 (’ ) C) (’ ) <’ ) (’ ) 2.0 6.3 1.7 4.2 3.4 3.9 1.1 6.4 1.0 5.2 -4.4 2.3 -.3 6.9 .9 7.2 -3.2 4.2 5.3 6.3 2.0 .9 9.2 3.1 5.1 5.5 2.1 .4 2.3 1.0 2.7 7.2 .9 4.3 -1.0 2.8 -5.2 10,1 -.8 16.1 -.7 11.5 4.9 11.8 2.4 6.6 21.6 10.2 4.4 8.3 2.4 3.8 8.8 5.1 3.1 8.6 2.0 5.3 5.5 5.4 .6 8.3 .6 7.7 3.4 6.5 1.8 '9,2 -1.9 7.2 N.A. N.A. V ) 2.6 5.4 2.2 2.7 1.8 2.5 2.6 6.3 1.6 3.6 2.3 3.3 III IV 1Not available. 33. Indexes of productivity, hourly compensation, unit costs, and prices, seasonally adjusted [1967 = 100] Item Private business sector: Output per hour of all persons .. Compensation per hour ............ Real compensation per hour Unit labor cost.......................... Unit nonlabor payments............ Implicit price deflator................ Nonfarm business sector: Output per hour of all persons .. Compensation per h o u r............ Real compensation per hour Unit labor cost.......... ............ Unit nonlabor payments............ Implicit price deflator ................ Nonfinancial corporations: Output per hour of all employees Compensation per h o u r............ Real compensation per hour Total unit costs ........................ Unit labor cost .................. Unit nonlabor costs............ Unit profits .............................. ■Implicit price deflator................ Manufacturing: Output per hour for all persons .. Compensation per ho u r............ Real compensation per hour Unit labor cost.......................... 104 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Quarterly indexes Annual average 1979 1978 1977 1978 1979 II III IV I II III IV I II 119.2 231.2 118.3 194.0 174.3 187.2 118.1 252.8 116,3 '214.0 ' 184.6 203.8 117.9 210.8 116.7 178.8 164.7 173.9 119.4 215.3 117.6 180.2 167.9 176.0 118.8 218.5 117.9 183.8 168.6 178.6 118.4 224.2 118.7 189.4 164.8 180.9 119.0 228.5 118.1 192.1 173.9 185.8 119.7 233.6 1182 195.2 177.0 188.9 119.8 238.4 118.0 199.0 181.3 192.9 118.9 244.8 118.0 205.9 180.8 197.2 118.2 2503 116.9 211.7 183.7 202.0 117.8 255.6 115.8 217.0 185.6 206.1 ' 117.6 '260.1 114.2 '221.1 '189.0 210.0 116,8 227.3 116.3 194.5 169.9 186.1 115.5 247.6 113.9 '214.3 178.8 2022 115.8 207.3 114.7 179.0 163.2 173.6 116.7 211.2 115.4 180.9 167,1 176.2 116.3 214.8 115.9 184.7 166.0 178.3 116.0 220.6 116.8 190.2 161.1 180.2 116.5 2246 116.1 192.7 169.2 184.7 117.3 2294 116.1 195.6 173.0 187.8 117.6 234.3 116.0 199.3 176.1 191,4 116.6 240.2 115.8 206.0 174.3 195.1 115.4 244.4 114,3 212.1 177.6 2003 115.0 249.9 113.2 217.3 180.5 204.7 '115.1 '255.4 '112.2 '221.8 183.3 '208.6 117.9 224.8 115.0 193.3 190.6 201 8 127 2 183.5 0117.5 0 244.7 0 112.6 0210.3 0 208,3 0216.6 0 128.4 0 198.2 116.5 205.7 113.8 180.5 176.6 192.4 123.3 172.0 117.4 209.5 114.5 182.4 178.4 194.8 130,9 174.7 116.7 212.8 114.8 186.3 182.3 198.7 122.2 176.8 116.7 218.5 115.7 190.8 187.3 201.5 107.1 178.3 117.8 222.3 114.9 191.6 188.7 200.8 129.2 182.3 118.4 226.9 114.8 194.0 191.5 201.6 132.7 184.9 118.8 231.3 114.5 196.8 194.8 203.1 138.7 188 2 118.1 237.4 114.5 202.3 201.0 206.5 130.3 191.6 117.3 242.1 113.1 208.0 206,4 213.2 129.2 196.3 117.2 247.1 112.0 2132 2108 220,5 127.5 200.4 (’ ) 128 0 229.5 117.5 179.4 130.2 250.5 115.2 192.4 127.3 209.7 116.1 164.7 128.4 214.1 117.0 166.7 127.8 217.5 117.4 170.2 125.7 223.2 118.1 177.5 127.2 226.6 117.1 178.1 129.2 231.4 117.0 179.1 129.8 236.5 117.1 182.2 129.0 242.4 116.9 187.9 130.0 248.2 115.9 190.9 131.1 253.0 1146 193.0 130.6 '258.2 ' 113.4 197.6 C) (’ ) (') n n (M n 34. Percent change from preceding quarter and year in productivity, hourly compensation, unit costs, and prices, seasonally adjusted at annual rate [1967 = 100] Quarterly percent change at annual rate Item Private business sector: Output per hour of all persons .................... Compensation per hour .............................. Real compensation per hour........................ Unit labor co st............................................ Unit nonlabor payments .............................. Implicit price deflator .................................. Nonfarm business sector: Output per hour of all persons .................... Compensation per hour .............................. Real compensation per hour........................ Unit labor c o st........................................ Unit nonlabor payments ........................ Implicit price deflator .................................. Nonfinancial corporations: Output per hour of all employees ................ Compensation per hour .............................. Real compensation per, hour........................ Total unit costs ........................................ Unit labor costs ...................................... Unit nonlabor costs.................................. Unit profits.................................................. Implicit price deflator .................................. Manufacturing: Output per hour of all persons .................... Compensation per hour .............................. Real compensation per hour........................ Unit labor co st.......................................... https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Percent change from same quarter a year ago I11978 to III 1978 III 1978 to IV 1978 IV 1978 to 1 1979 1 1979 to II 1979 II 1979 to III 1979 III 1979 to IV 1979 III 1977 to III 1978 IV 1977 to IV 1978 1 1978 to I 1979 II 1978 to II 1979 III 1978 to III 1979 IV 1978 to IV 1979 2.4 9.2 .3 6.6 7.4 6.9 0.3 8.5 -.7 8.1 9.9 8.7 -3.0 11.1 .1 14.6 -1.0 9.3 -2.2 9.3 -3.8 11.8 6.5 10.1 -1.3 8.8 -3.6 10.3 4.1 8.3 r -0.6 r7.2 ' -5.4 '7.8 '7.7 7.8 0.2 8.5 0.4 8.3 5.4 7.4 0.8 9.1 .1 8.3 7.5 8.0 0.4 9.2 -.6 8.7 9.7 9.0 -0.6 9.5 -1.0 10.2 5.6 8.7 -1.6 9.4 -2.0 11.2 4.8 9.1 ' —1.8 '9.1 -3.2 '11.1 '4.3 8.9 2.7 8.8 .0 6.0 9.4 7.0 .8 8.8 -.4 8.0 7.3 7.8 -3.2 10.4 -.6 14.0 -4.0 8.1 -4.1 7.9 -5.0 12.5 7.8 11.0 -1.4 8.5 -3.9 10.1 6.6 9.0 -.5 r9.2 '3.6 '8.6 6.4 '7.9 5 8.7 .6 8.1 3.5 6.6 1.1 9.1 .1 7.9 6.1 7.3 '.5 8.9 -.8 8.3 8.2 8.3 -1.0 9.0 -1.5 10.1 5.0 8.5 -2.0 8.9 -2.5 11.1 4.3 9.0 ' —2.0 '9.0 -3.3 11.1 4.1 '9.0 2.0 8.4 -.4 5.1 6.2 1.7 11.4 5.7 1.1 8.1 -1.0 5.9 6.9 2.9 19.5 7.3 -2.1 11.0 .0 11.7 13.4 6.8 -22.1 7.6 -2.8 8.0 -4.9 11.8 11.2 13.5 -3.4 10.2 -0.2 8.6 -3.8 10.2 8.8 r 14.6 -5.3 8.6 (’ ) (’ ) (’ ) (’ ) (’ ) ( ) 1 0.8 8.3 .2 6.4 7.4 3.5 1.4 5.8 1.8 8.7 -.3 5.6 6.8 2.2 13.6 6.4 1.3 8.7 -1.0 6.1 7.3 2.5 21.7 7.5 .5 8.9 -1.6 8.6 9.4 6.2 0 7.7 -1.0 8.9 -2.5 9.9 10.1 '9.4 -3.9 8.4 6.3 8.7 -.1 2.2 2.0 9.3 0 7.1 -2.4 10.3 -.6 13.0 2.9 9.8 -3.4 6.7 3.5 8.1 -4.3 4.4 '- 1 .3 '8.4 '4.3 '9.9 .6 8.1 0 7.4 1.6 8.7 -.3 7.1 2.6 8.6 -1.1 5.9 2.2 9.5 -1.0 7.2 1.5 9,4 -2.1 7.8 ' C ) C ) o (') (’ ) (’ ) (’ ) (') O C ) 0.6 '9.2 ' —3.1 8.5 105 LABOR-MANAGEMENT DATA M a jo r c o l l e c t iv e b a r g a in in g d a t a are obtained from contracts on file at the Bureau of Labor Statistics, direct contact with the parties, and from secondary sources. Addi tional detail is published in C u rre n t W age D evelo p m en ts, a monthly periodical of the Bureau. Data on work stoppages are based on confidential responses to questionnaires mailed by the Bureau of Labor Statistics to parties involved in work stoppages. Stoppages initially come to the attention of the Bureau from reports of Federal and State mediation agencies, newspapers, and union and industry publications. Definitions Data on wage changes apply to private nonfarm industry agree ments covering 1,000 workers or more. Data on wage and benefit changes c o m b in e d apply only to those agreements covering 5,000 workers or more. F i r s t - y e a r w a g e s e t t l e m e n t s refer to pay changes go ing into effect within the first 12 months after the effective date of 35. the agreement. C h a n g e s o v e r th e lif e o f th e a g r e e m e n t refer to total agreed upon settlements (exclusive of potential cost-of-living escalator adjustments) expressed at an average annual rate. W a g e -r a te c h a n g e s are expressed as a percent of straight-time hourly earnings, while w a g e a n d b e n e fit c h a n g e s are expressed as a percent of total compensation. E f f e c t iv e w a g e -r a te a d j u s t m e n ts going into effect in major bargaining units measure changes actually placed into effect during the reference period, whether the result of a newly negotiated increase, a deferred increase negotiated in an earlier year, or as a result of a costof-living escalator adjustment. Average adjustments are affected by workers receiving no adjustment, as well as by those receiving in creases or decreases. W o r k s to p p a g e s include all known strikes or lockouts involving six workers or more and lasting a full shift or longer. Data cover all workers idle one shift or more in establishments directly involved in a stoppage. They do not measure the indirect or secondary effect on other establishments whose employees are idle owing to material or service shortages. Wage and benefit settlements in major collective bargaining units, 1975 to date [In percent] Quarterly average Annual average 1979 e 1978 Sector and measure 1975 1976 1977 1978 1979 p II III IV I II III IV Wage and benefit settlements, all industries: First-year settlements .................................... Annual rate over life of contract ...................... 11.4 8.1 8.5 66 9.6 6.2 8.3 6.3 8.9 6.6 6.8 6.0 7.2 5.9 6.1 5.2 2.5 5.2 106 7.7 9.0 6.0 8.1 6.0 Wage rate settlements, all industries: First-year settlements .................................... Annual rate over life of contract...................... 10.2 7.8 8.4 6.4 7.8 5.8 7.6 6.4 7.4 6.0 6.9 6.2 7.5 6.4 7.4 5.9 4.8 6.6 9.0 7.0 6.6 4.8 6.3 4.9 ' Manufacturing: First-year settlements................................ Annual rate over life of contract ................ 9.8 8.0 8.9 6.0 8.4 5.5 8.3 6.6 7.0 5.4 7.1 5.8 8.4 7.2 9.5 7.4 8.7 8.6 9.9 8.1 6.2 4.6 5.9 4.2 Nonmanufacturing (excluding construction): First-year settlements................................ Annual rate over life of contract ................ 11.9 8.0 8.6 7.2 8.0 5.9 8.0 6.5 7.5 5.9 7.7 6.9 7.4 5.9 6.4 5.1 2.3 5.6 8.5 5.7 9.1 5.8 7.2 7.5 Construction: First-year settlements................................ Annual rate over life of contract ................ 8.0 7.5 6.1 6.2 6.3 6.3 6.5 6.2 8.9 8.4 6.4 6.0 7.0 7.2 8.4 7.1 11.0 7.7 9.1 8.2 10.4 9.1 7.9 7.1 106 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis % 36. Effective wage adjustments going into effect in major collective bargaining units, 1975 to date [In percent] Average annual changes Average quarterly changes Sector and measure 1975 1976 1977 1978 1979 1977 1978 IV I 1979 II III IV I II III IV Total effective wage rate adjustment, all industries.............. Change resulting from— Current settlement .............................................. Prior settlement .................................................. Escalator provision .............................................. 8.7 8.1 8.0 8.2 8.8 11 1.3 2.6 2.7 1.4 1.4 2.6 3.2 1.5 2.8 3.7 2.2 3.2 3.2 1.6 3.0 3.2 1.7 2.0 3.7 2.4 2.8 3.0 3.0 0.5 .3 .3 0.5 .6 .3 0.6 1.4 .6 0.5 1.2 1.0 0.4 .5 .5 0.2 .6 .6 1.1 .9 .5 1.0 1.0 1.2 0.4 .4 .6 Manufacturing.......................................... Nonmanufacturing.............................................. 8.5 8.9 8.5 7.7 8.4 7.6 8.6 7.9 9.2 8.5 1.4 .8 1.4 1.3 2.2 2.9 2.9 2.5 1.9 1.1 1.4 1.4 2.3 2.8 3.1 3.4 2.2 .9 p = preliminary NOTE: Because of rounding and compounding, the sums of individual items may not equal totals. 37. Work stoppages, 1947 to date Number of stoppages Month and year Beginning in month or year In effect during month Workers involved Beginning in month or year (thousands) Days idle In effect during month (thousands) Number (thousands) Percent of estimated working time 1947 1948 1949 1950 .................. .................. .................. .................. 3,693 3,419 3,606 4,843 2,170 1,960 3,030 2,410 34.600 34.100 50.500 38,800 .30 .28 .44 .33 1951 1952 1953 1954 1955 .................. .................... .................... .................... .................... 4,737 5,117 5,091 3,468 4,320 2,220 3,540 2,400 1,530 2,650 22.900 59.100 28.300 22.600 28,200 .18 .48 .22 .18 .22 1956 1957 1958 1959 1960 .................... .................... .................... .................... .................... 3,825 3,673 3,694 3,708 3,333 1,900 1,390 2,060 1,880 1,320 33.100 16.500 23.900 69,000 19.100 .24 1961 1962 1963 1964 1965 .................... .................... .................... .................... .................... 3,367 3,614 3,362 3,655 3,963 1,450 1,230 941 1,640 1,550 16.300 18,600 16.100 22.900 23.300 1966 1967 1968 1969 1970 .................... .................... .................... .................... .................... 4,405 4,595 5,045 5,700 5,716 1,960 2,870 2,649 2,481 3,305 25,400 42,100 49,018 42,869 66,414 .15 .25 .28 .24 .37 1971 1972 1973 1974 1975 .................... .................... .................... .................... .................... 5,138 5,010 5,353 6,074 5,031 3,280 1,714 2,251 2,778 1,746 47,589 27,066 27,948 47,991 31,237 .26 .15 .14 .24 .16 1976 .................... 1977 .................... 5,648 5,506 2,420 2,040 37,859 35,822 .19 .17 1978: 1979: 1980: September 453 854 448 551 4,446 October .. November December 370 268 157 721 569 408 117 64 53 216 136 143 2,352 1,691 1,377 January .. February . March . .. 262 299 391 68 75 112 1,925 1,670 1,871 April........ M ay........ June . . . . 512 556 536 426 132 137 5,126 3,682 2,989 J u ly ........ August . . . September 471 463 464 168 119 135 3,001 3,152 2,319 October .. November December 443 257 134 230 91 42 2,968 2,720 1,976 Januaryp . February p 352 354 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 441 590 207 114 292 332 .12 .18 .50 .14 .11 .13 .11 .15 .15 3,142 3,025 107 How to order BLS publications PERIODICALS O r d e r f r o m (a n d m a k e c h e c k s p a y a b le to ) S u p e r in te n d e n t o f D o c u m e n ts , W a sh in g to n , D .C . 2 0 4 0 2 . F o r fo r e ig n su b scrip tio n s, a d d 2 5 p e rc e n t. 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