Download - empl_071980
![Page 1: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/1.jpg)
Employment and EarningsJuly 1980!,S. Department of Laborureau of Labor Statistics
ol. 27 No. 7
this issue:stablishment data adjusted to new benchmarks
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 2: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/2.jpg)
U.S. DEPARTMENT OF LABORRay Marshall, Secretary
BUREAU OF LABOR STATISTICSJanet L. Norwood, Commissioner
Employment and Earnings is prepared by theDivision of Monthly Industry EmploymentStatistics and the Division of Employment andUnemployment Analysis in collaboration withthe Division of Special Publications. The dataare collected by the Bureau of the Census(Department of Commerce), State EmploymentSecurity Agencies, and State Departments ofLabor in cooperation with the Bureau of LaborStatistics. A brief description of the coopera-tive statistical programs of the BLS withthese agencies is presented in the Ex-planatory Notes. The State agencies are listedon the inside back cover.
Employment and Earnings may be orderedthrough the Superintendent of Documents,U.S. Government Printing Office, Washington,D.C. 20402. Subscription price per year $22domestic, and $27.50 foreign. Single copy$2.75. Annual supplement $3.25. Prices aresubject to change by the U.S. GovernmentPrinting Office.
Communications on editorial matters shouldbe addressed to: Editors, Employment andEarnings, Bureau of Labor Statistics, Wash-ington, D.C. 20212. Inquiries regarding thetext and Household Data should be ad-dressed to: Attention of Gloria P. Green, orphone: (202) 523-1944. Inquiries relating toEstablishment Data and all other tables shouldbe addressed to: Attention of Gloria P. Goings,or phone: (202) 523-1487. Send correspondenceon circulation and subscription matters (in-cluding address changes) to the Superinten-dent of Documents.
The Secretary of Labor has determined thatpublication of this periodical is necessaryin the transaction of the public business re-quired by law of this Department. Use of fundsfor printing this periodical has been approvedby the Director of the Office of Managementand Budget through February 28, 1981. Con-trolled circulation postage paid at Riverdale,Md.
Unless specifically identified as copyright,r,,atP:ial in this publication is in the publicdomain and may, with appropriate credit, bereproduced without permission.
Library of Congress Catalog Number 70-11379.
Employment and Earnings (Dept. of LaborPub.) (USPS 081-990)
Calendar of Features
In addition to the monthly data appearingregularly in Employment and Earningsspecial features appear in most of theissues as shown below:
Household data
Annual averagesRevised seasonally adjusted seriesQuarterly averages: Seasonally adjusteddata, persons not in labor force, personsHispanic origin, Vietnam-Era veteransand nonveterans, poverty-nonpoverty areadata, family relationship data.
Establishment data
National annual averages:
Industry divisions (preliminary)
Industry detail (final)
Women employment detail (final)
National data adjusted to new benchmarks
Revised seasonally adjusted series
State and area annwal averages
Area definitions
Jan.Feb.
Jan., Apr.,July, Oct.
Jan.
Mar.
Mar.
July1
July2
May
May
1The issue that introduces new benchmark varies. The July 1980 issue marks the in-troduction of March 1979 benchmarks.
2Revised data introduced July 1980.
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 3: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/3.jpg)
Employment and EarningsVol. 27 No. 7 July 1980
Editors: Gloria P. Green, Gloria P. Goings, Rosalie K. Epstein
Editors' noteBeginning with this issue, establishment-based data (national series) have been revised to
reflect employment benchmark levels (comprehensive counts of employment) for March 1979.In addition, the Bureau used the X-11 ARIMA methodolody in seasonally adjusting theestablishment data, which previously had been computed using the BLS Seasonal FactorMethod. The seasonally adjusted establishment data have been revised back 5 years, which isthe usual practice, based on experience through March 1980.
Due to the benchmark and seasonal adjustment revisions, data in tables B-1 through B-7,C-1, C-2, C-4 through C-10, D-1 and D-3 have been revised. For a discussion of the effects ofthese revisions, see the article, "BLS Establishment Estimates Revised to March 1979 Bench-marks," that appears on page 7. The article also gives the new seasonal factors to be usedto calculate establishment data for April 1980 through March 1981. Revised historical data fordetailed industry categories will be published in an August 1980 supplement to Employmentand Earnings.
Contents
Page
List of statistical tables 2Employment and unemployment developments, June 1980 5BLS establishment estimates revised to March 1979 benchmarks. 7New seasonal adjustment factors for household data series 25Charts 26Statistical tables:
Not seasonally adjusted-Household data 40
Quarterly averages 77Establishment data:
Employment 91Hours and earnings 123Labor turnover 154
State and area unemployment data 163
Seasonally adjusted series-Household data 62
Quarterly averages 69Establishment data:
Employment 108Hours and earnings 144Productivity 146Labor turnover 159
Explanatory notes 169
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 4: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/4.jpg)
MONTHLY HOUSEHOLD DATAPage
Employment Status
A-1. Employment status of the noninstitutional population, 16 years and over, 1947 to date 38A- 2. Employment status of the noninstitutional population 16 years and over
by sex, 1972 todate 39A- 3. Employment status of the noninstitutional population by sex, age, and race 40A- 4. Labor force by sex, age, and race 42A- 5. Employment status of black workers by sex and age 44A- 6. Employment status of the noninstitutional population by race, sex, and age 45A- 7. Employment status of the noninstitutional population 16-21 years of age
by race and sex 46A- 8. Full- and part-time status of the civilian labor force by sex, age, and race 47A- 9. Employment status of the noninstitutional population by family relationship 48
Characteristics of the Unemployed
A-10. Unemployed persons by marital status, sex, age, and race 48A-11. Unemployed persons by occupation of last job and sex 49A-12. Unemployed persons by industry of last job and sex 49A-13. Unemployed persons by reason for unemployment, sex, age, and race 50A-14. Unemployed persons by reason for unemployment, duration, sex, and age 50A-15. Unemployed jobseekers by the jobsearch methods used, sex, age, and race' 51A-16. Unemployed jobseekers by the jobsearch methods used, sex, and reason
for unemployment 51A-17. Unemployed persons by duration of unemployment 52A-18. Unemployed persons by duration, sex, age, race, and marital status 52A-19. Unemployed persons by duration, occupation, and industry of last job 53
Characteristics of the Employed
A-20. Employed persons by sex and age 53A-21. Employed persons by occupation, sex, and age 54A-22. Employed persons by occupation, sex, and race 55A-23. Employed persons by class of worker, age, and sex 56A-24. Employed persons by industry and occupation 56A-25. Employed persons with a job but not at work by reason, pay status, and sex 57A-26. Persons at work by type of industry and hours of work 57A-27. Persons at work 1-34 hours by usual status and reason for working less than 35 hours 58A-28. Nonagricultural workers by industry and full- or part-time status 58A-29. Persons at work in nonagricultural industries by full- or part-time
status, sex, age, race, and marital status 59A-30. Persons at work in nonfarm occupations by full- or part-time status and sex 60
Characteristics of 14 and 15 year-olds
A-31. Employment status of 14-15 year-olds by sex and race 61
A-32. Employed of 14-15 year-olds by sex, class of worker, and occupation 61
Seasonally Adjusted Employment and Unemployment Data
A-33. Employment status of the noninstitutional population by sex and age,seasonally adjusted 62
A-34. Full- and part-time status of the civilian labor force, seasonally adjusted 63A-35. Employment status by race, sex, and age, seasonally adjusted 63A-36. Major unemployment indicators, seasonally adjusted 64A-37. Unemployed persons by duration of unemployment, seasonally adjusted 64A-38. Rates of unemployment by sex and age, seasonally adjusted 65A-39. Unemployed persons by reason for unemployment, seasonally adjusted 65A-40. Employed persons by sex and age, seasonally adjusted 66A-41. Unemployed persons by sex and age, seasonally adjusted 66A-42. Employed persons by selected social and economic categories, seasonally adjusted 67
Characteristics of Vietnam-Era Veterans and Nonveterans
A-43. Employment status of male Vietnam-era veterans and nonveterans by age . . . . 68
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 5: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/5.jpg)
QUARTERLY HOUSEHOLD DATAPage
Seasonally Adjusted Employment and Unemployment Data
A-44. Employment status of the noninstitutional population by sex, age, and race,seasonally adjusted 69
A-45. Full- and part-time status of the civilian labor force by sex and age, seasonallyadjusted 70
A-46. Employment status by race, sex, and age, seasonally adjusted 71A-47. Major unemployment indicators, seasonally adjusted 72A-48. Unemployed persons by duration of unemployment, seasonally adjusted 73A-49. Rates of unemployment by sex and age, seasonally adjusted 73A-50. Unemployed persons by reason for unemployment, seasonally adjusted 74A-51. Employed persons by sex and age, seasonally adjusted 74A-52. Employed persons by selected social and economic categories, seasonally
adjusted 75
Persons Not In Labor Force
A-53. Job desire of persons not in labor force by current activity, reasons for not seekingwork, sex, and race, seasonally adjusted 76
A-54. Job desire of persons not in labor force and reasons for not seeking work byage and sex 77
A-55. Job desire of persons not in labor force and reasons for not seeking work byage, race, and sex , 78
A-56. Persons not in labor force who desire work but think they cannot get jobs byage, race, sex, and detailed reason , 78
A-57. Most recent work experience of persons not in labor force and reason for leavinglast job for those who worked during previous 12 months by age, race, and sex 79
A-58. Work-seeking intentions of persons not in labor force and work history of those whointend to seek work within next 12 months by age, race, and sex 79
Race and Hispanic Origin Data
A-59. Employment status of the civilian noninstitutional population by sex, age, race, andHispanic origin 30
A-60. Employment status of persons of Mexican, Puerto Rican, and Cuban origin bysex and age 81
A-61. Employed persons by selected social and economic categories, race, and Hispanic origin . . . 82A-62. Employed persons of Mexican, Puerto Rican, and Cuban origin by selected social
and economic categories 83A-63. Employed persons by sex, age, race, and Hispanic origin 84A-64. Rates of unemployment by sex, age, race, and Hispanic origin 84A-65. Unemployed persons by duration of unemployment, race, and Hispanic origin 85A-66. Unemployed persons by reason for unemployment, race, and Hispanic origin 85
Vietnam-Era Veterans and Nonveterans Data
A-67. Employment status of male Vietnam-era veterans and nonveternas by age .. 86A-68. Employment status of male Vietnam-era veterans and nonveterans 25 to 39 og
years by age, race, and Hispanic origin .
Metropolltan-nonmetropolitan and Poverty-nonpoverty Area Data
A-69. Employment status of the population in metropolitan-nonmetropolftan areas bysex, age, and race 37
A-70. Employment status of the population in poverty and nonpoverty areas by race 88A-71. Unemployment rates for selected labor force groups in poverty and nonpoverty
areas by sex, age, and race 88Family Relationship Data
A-72. Unemployed persons by family relationship and presence of employed family members 39A-73. Employed persons by family relationship and presence of additional employed
family members ; 00
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 6: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/6.jpg)
MONTHLY ESTABLISHMENT DATA
Page
Employment—National
B-1. Employees on nonagricultural payrolls, by industry division, 1920 to date 91B- 2. Employees on nonagricultural payrolls, by industry 92B- 3. Women employees on nonagricultural payrolls, by industry 101B- 4. Employees on nonagricultural payrolls, by industry, seasonally adjusted 108B- 5. Women employees on nonagricultural payrolls, by industry, seasonally adjusted 109B- 6. Production or nonsupervisory workers on private nonagricultural payrolls,
seasonally adjusted HOB-7. Indexes of diffusion: Percent of industries in which employment increased 111
Employment—State and Area
B- 8. Employees on nonagricultural payrolls for States and selected areas, by industry division 112
Hours and Earnings—National
C-1. Gross hours and earnings of production or nonsupervisory workers on privatenonagricultural payrolls, 1959 to date 123
C- 2. Gross hours and earnings of production or nonsupervisory workers on privatenonagricultural payrolls, by industry 124
C- 3. Employment, hours, and indexes of earnings in the Executive Branch of theFederal Government 140
C- 4. Average hourly earnings excluding overtime of production workers on manufacturingpayrolls, by industry 140
C- 5. Gross and spendable average weekly earnings of production or nonsupervisoryworkers on private nonagricultural payrolls, in current and 1967 dollars 141
C- 6. Indexes of aggregate weekly hours and payrolls of production or nonsupervisory workerson private nonagricultural payrolls 142
C- 7. Average weekly hours of production or nonsupervisory workers on privatenonagricultural payrolls, by industry division and major manufacturinggroup, seasonally adjusted 144
C- 8. Indexes of aggregate weekly hours of production or nonsupervisory workers on privatenonagricultural payrolls by industry division and major manufacturing group,seasonally adjusted 145
C- 9. Hourly Earnings Index and average hourly and weekly earnings of production ornonsupervisory workers on private nonagricultural payrolls, seasonally adjusted 146
C-10. Hours of wage and salary workers in nonagricultural establishments, by industry division 146C-11. Indexes of output and compensation per hour, unit costs, and prices, private business
sector, seasonally adjusted 147C-12. Percent changes from preceding quarter and year in productivity, hourly compensation,
unit costs, and prices, private business sector, seasonally adjusted, at annual rate 148
Hours and Earnings—State and Area
C-13. Gross hours and earnings of production workers on manufacturing payrolls, by
State and selected areas 149
Labor Turnover—National
D-1. Labor turnover rates in manufacturing, 1970 to date 164D- 2. Labor turnover rates, by Industry , — 155
D- 3. Labor turnover rates In manufacturing, 1970 to date, seasonally adjusted 159
Labor Turnover—State and Area
D- 4. Labor turnover rates in manufacturing for selected States and areas 160
MONTHLY STATE AND AREA UNEMPLOYMENT DATA
E-1. Labor force and unemployment by State and selected metropolitan areas 163
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 7: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/7.jpg)
Employment and UnemploymentDevelopments, June 1980
Employment continued to decline, but unemploy-ment was virtually unchanged in June. Following ex-traordinarily large increases in both April and May, theunemployment rate held about steady at 7.7 percent inJune.
Total employment—as measured by the monthlysurvey of households—dropped by 450,000 over themonth. At 96.5 million in June, employment has declin-ed 1.4 million since February and was at about the levelwhich prevailed a year ago.
Nonfarm payroll employment—as measured by themonthly survey of establishments—fell by more thanhalf a million in June to 90.1 million and was also atabout its year-earlier level. Average weekly hours fellfor the fifth month in a row.
UnemploymentBoth the number of unemployed in June, 8.0 million,
and the unemployment rate, 7.7 percent, remained neartheir May levels. Despite the stability in overalljoblessness, the number of persons on layoff as well asthose whose jobs have been terminated continued to risein June. This was countered by a decline in the numberof unemployed who were reentrants into the labor forceand those leaving their jobs voluntarily. (See tables A-33and A-39.)
Jobless rates for most worker groups showed littlechange over the month. Accordingly, rates for adultmen (6.7 percent), adult women (6.5 percent), teenagers(18.5 percent), whites (6.8 percent), black and otherworkers (13.6 percent), and Hispanics (10.2 percent) re-mained close to those which prevailed in May. (See tableA-36.)
The median duration of unemployment rose from 5.7to 6.4 weeks, as large numbers of workers who becameunemployed in recent months moved into the higherduration categories. (See table A-37.)
The number of nonfarm workers on part-time workschedules for economic reasons (often referred to as the"partially unemployed") declined by 350,000 in Juneafter rising sharply in recent months. Their count of 4million remained substantially above pre-recessionlevels. (See table A-42.)
Total employment and the labor forceEmployment fell by 450,000 in June, the fourth con-
secutive monthly decline. Since February, when the
employment level peaked, the number of persons withjobs has fallen by 1.4 million. These declines have beenconcentrated among adult men.
The downturn in employment since February aboutmatched the job gains of mid-to-late 1979, so that theoverall level of employment in June—96.5 million—wasabout the same as in June 1979. There were, however,contrasting over-the-year movements, as the level ofemployment among adult women rose by about 1million, while the number of employed adult men andteenagers dropped by 700,000 and 470,000, respectively.(See table A-33.)
Occupational employment trends which had been evi-dent during the past few months continued in June.Blue-collar employment continued to decline—by440,000—while white-collar employment grew by260,000 over the month. (See table A-42.)
The employment-population ratio dropped 0.4 pointto 58.1 percent in June, a full percentage point belowthe figure of a year ago and the lowest in more than 2years.
The civilian labor force fell by 600,000 in June, nearlyoffsetting an even larger increase in May (725,000)which had resulted from an earlier than usual summer-time labor force entrance of persons under 25 years ofage. Thus, the small April-to-June increase is a morerealistic reflection of recent labor force developmentsthan is suggested by either the April-May or the May-June movements.
Discouraged workersDiscouraged workers are those who report that they
want to work but are not looking for jobs because theybelieve they cannot find any. Because they do not meetthe labor market test—that is, they are not engaged inactive job search—they are classified as not in the laborforce rather than unemployed. Data for this group arepublished quarterly.
The number of discouraged workers declined by75,000 in the second quarter to 920,000, but the level re-mained much higher than those posted during 1979.Two-thirds of the total cited job-market factors as thereason for their discouragement. As has typically beenthe case, women and blacks accounted for dispropor-tionately large percentages of the discouraged total. (Seetable A-53.)
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 8: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/8.jpg)
Industry payroll employmentNonagricultural payroll employment decreased by
515,000 in June, the largest over-the-month declinesince December 1974. Progressively larger employmentdecreases over the past several months have resulted inan overall drop of 1.1 million jobs since February. At90.1 million, the payroll employment total was only175,000 above its year-ago level. (See table B-4.)
In June, substantial weakening became more evidentthroughout the economy. Employment increases wereregistered in only one-fifth of the 172 industries com-prising the BLS diffusion index. Nevertheless, the over-the-month decline was concentrated in manufacturing,where employment fell by mbre than 300,000, following2 months of similar declines. Within manufacturing, thedurable goods industries were hardest hit. Employmentin both the primary metals and fabricated metals in-dustries declined by about 50,000 for the second monthin a row, and sizeable job losses also occurred inmachinery, electrical equipment, furniture, and stone,clay, and glass products. The number of jobs in thetransportation equipment industry was unchanged,following 2 months of massive cutbacks. Decreases alsooccurred in the nondurable goods industries, particular-ly in textiles, chemicals, and rubber and plastics.
Elsewhere in the goods-producing sector, miningemployment was unchanged, while construction con-tinued its downward trend with a loss of 65,000 jobs.Construction decreases have totaled 370,000 in the last 5months.
The service-producing sector registered its first over-the-month decline since the 1974-75 recession, falling by135,000 jobs. The decrease was concentrated in trade,which experienced its fourtfi consecutive monthlydecline, and in services, which had been showing gainsprior to June.
Hours of workThe average workweek for production or nonsuper-
visory workers on private nonfarm payrolls continued
to drop in June, edging down 0.1 hour to 35.0 hours.The manufacturing workweek was shortened by 0.2hour in June and was down 1.2 hours since the begin-ning of the year. Manufacturing overtime was off 0.1hour, following a decline of a half hour in May. (Seetable C-7.)
The index of aggregate weekly hours of production ornonsupervisory workers on private nonfarm payrollsfell 1.0 percent in June to 122.2 (1967 = 100)—reflectingthe declines in both employment and weeklyhours—and was down 3.9 percent since January. Themanufacturing index declined 2.4 percent over themonth and 9.3 percent since January. (See table C-8.)
Hourly and weekly earningsAverage hourly earnings of production or nonsuper-
visory workers on private nonagricultural payrolls rose0.9 percent over the month and were 8.2 percent abovethe June 1979 level (seasonally adjusted). Average week-ly earnings were up 0.6 percent from May and 6.3 per-cent since June 1979.
Before adjustment for seasonality, average hourlyearnings rose 5 cents in June to $6.61 and were 50 centsabove the June 1979 level. Average weekly earningswere $233.33, up $3.73 over the month and $13.98 overthe year. (See tables C-l and C-9.)
The Hourly Earnings IndexThe Hourly Earnings Index—earnings adjusted for
overtime in manufacturing, seasonality, and the effectsof changes in the proportion of workers in high-wageand low-wage industries—was 250.7 (1967 = 100) inJune, 1.0 percent higher than in May. The Index was 9.4percent above June a year ago. In dollars of constantpurchasing power, the Index decreased 4.7 percent dur-ing the 12-month period ended in May. (See table C-9.)
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 9: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/9.jpg)
BLS Establishment EstimatesRevised to March 1979Benchmarks
•Carol M. Utter
With the release of data for June 1980, the Bureau ofLabor Statistics introduced revised establishment surveyestimates of employment, hours, earnings, and laborturnoyer to reflect the most recent complete employ-ment counts (benchmarks) for March 1979. The Bureaualso has introduced revised seasonally adjusted seriesand new seasonal factors, as is the usual practice withthe introduction of the benchmarked data. The Bureauhas adopted the X-ll ARIMA1 seasonal adjustmentmethod to revise the historical series of seasonally ad-justed data and to produce seasonal factors for the com-ing year.
BLS revises the establishment estimates annually toincorporate the most up-to-date information derivedfrom unemployment insurance (UI) tax returns filed byemployers with their State employment security agen-cies. These revisions affect most of the employmentseries from March 1978 (the previous complete count)forward to the current month's estimate. Estimates ofState and local government employment, however, havebeen revised from March 1977 forward, the previousbenchmark for these series. Estimates of hours, earn-ings, and labor turnover, which are weighted byemployment estimates, also may be revised as a result ofthe changes in employment levels.
The benchmark procedure serves as a quality controlprocess by providing both a more accurate measure ofemployment levels and a more accurate perspective ontrends. Normally, new benchmarks are determined forMarch of each year at the most detailed industrialclassification for which estimates are made. The dif-ference between the benchmark employment level forMarch and the corresponding estimate for March (pro-jected from the benchmark for the previous March) isassumed to have accumulated at a constant rate over theprevious 12 months. Most series, therefore, are adjustedby applying a ratio to the estimates to "wedge out" thedifference over the 12-month period from the newbenchmark to the preceding one. The benchmark level(in this case, March 1979) is then projected forward tothe current month based on the trend shown in monthlyreports submitted by a sample of employers. The
estimates adjusted to the new levels are then aggregatedthrough successively larger groupings to totalnonagricultural employment.
Effect of the current benchmark adjustmentThe March 1979 benchmark for total nonagricultural
employment—88.7 million—was 0.4 million above thecorresponding sample-based estimate, a difference of0.5 percent or 7.3 percent of the year-to-year change(table 1). The largest adjustments were in constructionand State and local government. Construction employ-ment was revised downward by 3.2 percent; growth inthis industry had been overestimated. State and localgovernment employment was revised upward by 2.3 per-cent; most of the increase resulted from the introductionof improved benchmark source materials. Table 2 in-dicates the magnitude of the differences arising from thecurrent and previous revisions, by year and industrydivision.
BLS monthly estimates of employment, hours, andearnings are published in considerable industry detail.Based upon the Standard Industrial Classification (SIC)system, estimates are prepared at the industry level(four-digit SIC) for manufacturing and at the industrygroup level (three-digit SIC) for most nonmanufactur-ing industries. Within the three-digit industry groups(manufacturing and nonmanufacturing) for whichemployment estimates are published, 29 of the 255groups were revised by 5 percent or more. The largestindustries in terms of employment tended to have thesmallest percentage revisions (table 3). The March 1979estimates and benchmark levels for the major industry
• Carol M. Utter is a statistician in the Division of Monthly EmploymentStatistics, Office of Employment Structure and Trends, Bureau of LaborStatistics.
1 The X-ll ARIMA program, developed by the Seasonal Adjustment andTime Series Staff of Statistics Canada, is described in The X-ll ARIMASeasonal Adjustment Method, by Estela Bee Dagum (Statistics CanadaCatalogue No. 12-564E, September 1979). For a detailed account of the use ofARIMA models with other data, see "Revision of Seasonally Adjusted LaborForce Series" by Robert J. Mclntire, in the January 1980 issue of Employmentand Earnings.
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 10: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/10.jpg)
Table 1. Comparison of nonagricultural employment estimates with benchmarks by industry division, March 1979
(Numbers in thousands)
Industry division stimate
88,207
72,408
9264,226
20,8875.060
19,6905,098
14,5924,870
16,74915,7992,740
13,059
Bench™*
88,654
72,552
9284,093
20,9725,045
19,8095,135
14,6744,876
16,82916,1022,740
13,362
Difference
Amount
447
144
2-133
85-151193782
680
3030
303
Percent
0.5
.2
.2-3.2
.4-.3.6.7.6.1.5
1.90
2.3
Percent of
change1
7.3
3.8
.936.910.06.2
12.813.112.72.48.3
67.40
72.2
Total
Total private
MiningConstructionManufacturingTransportation and public utilitiesTrade
WholesaleRetail
Finance, insurance, and real estateServicesGovernment
FederalState and local
Percent of change from March 1978 to March 1979.
Table 2. Percent differences between nonagriculturalemployment estimates and benchmarks by industrydivision, selected years, 1971-79
Industry division
Total
MiningConstructionManufacturingTransportation and public
utilitiesTradeFinance, insurance, andreal estate
ServicesGovernment
March
1971 1973 * 1974 19772 1978 1979
-0.2
.23.1-.4
-.9-.3
-.2-.40
1.6
3.59.61.1
.72.2
.5
.9
.5
0.1
3.0-.6.1
- . 1
1.1
.7- . 5
0.1
2.7.6
-.4
-1.8
1.0.6.8
0.7
1.91.6.6
.9
.4
1.01.2
0.5
.2
-3.2.4
-.3.6
.1
.51.9
1973 is a 2-year revision.The comparison for the detailed industry divisions is be-
tween estimates on the 1967 SIC and the 1972 SIC.Less than 0.05 percent.Estimates of State and local government were not revised.
groups (two-digit SIC) in manufacturing appear in table
4. Of the 20 major groups in this division, 14 were revis-
ed by 1 percent or less. Revisions were somewhat larger
for the basic three-and four-digit industries, but almost
three-fifths of these differed by less than 3 percent and
about one-sixth differed by 5 percent or more.
Why estimates differ from benchmarks
There are three basic reasons for the differences be-
tween benchmarks and estimates: (1) errors in trend
caused by nonrepresentative samples, (2) Errors in ad-
justment for the entry of new firms, and (3) im-
provements in the quality of the benchmark data. A
fourth reason for differences, which affects individual
industry estimates but not the total, results from
changes in industrial classification of individual
establishments.
Table 3. Distribution of published 3-digit SIC industries by
size of industry and percent difference between employ-
ment estimates and benchmarks, March 1979
Percentdifference
Total
O-0.9 . .1.0-2.9 . .3.0-4.9.. .5.0 and over. . .
Totalnumber
ofindustries
255
731044929
Size of industry(number of employees)
Under50,000
36
71289
50,000to
99,999
40
91885
100,000to
199,999
67
1730155
200,000andover
112
40441810
8
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 11: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/11.jpg)
Table 4. Comparison of manufacturing employment estimates with benchmarks by major industry group, March 1979
(Numbers in thousands)
Industry group Estimate BenchmarkDifference
Amount Percent
Manufacturing
Durable goods
Lumber and wood products
Furniture and fixturesStone, clay, and glass productsPrimary metal industriesFabricated metal productsMachinery, except electricalElectric and electronic equipmentTransportation equipmentInstruments and related productsMiscellaneous manufacturing
Nondurable goods
Food and kindred productsTobacco manufacturesTextile mill productsApparel and other textile productsPaper and allied productsPrinting and publishingChemicals and allied productsPetroleum and coal productsRubber and miscellaneous plastics productsLeather and leather products
20,887
12,663.6
745.5
491.8697.2
1,251.11,719.82,459.52,082.62,083.9
683.2449.0
8,222.9
1,666.964.4
894.41,326.6
708.81,229.51,103.9
208.3774.4245.7
20,972
12,744.3
752.8
501.6696.9
1,258.01,717.32,479.92,096.32,119.1
681.5440.9
8,227.0
1,676.267.7
891.31,326.0
701.81,225.71,100.9
205.3782.6249.5
85
80.7
7.39.8- .36.9
-2.520.413.735.2-1.7-8.1
4.1
9.33.3
-3.1- .6
-7.0-3.8-3.0-3.0
8.23.8
0.4
.6
1.02.0C)
.5- .1
.8
.71.7- .2
-1.8
0).6
4.9- .3
o-1.0-.3-.3
-1.51.01.5
Less than 0.05 percent.
The primary reason for differences between estimatesand benchmarks lies in the limitation of any sample inrepresenting a universe; that is, a certain amount of er-ror is to be expected from sample-derived estimates. Acomplete monthly count of employment would reflectall changes in the level from month to month, but com-plete coverage involving several million reports eachmonth would be prohibitively expensive and time con-suming. The BLS establishment series, derived from asample of approximately 166,000 reports, providesestimates at moderate cost within a month following thereference week. Annual benchmark revisions, which arean integral part of the survey program, remove the ef-fect of these sampling errors from the all-employeeestimates.
Given the limitation of sample-based estimates, thesecond reason for benchmark differences arises from er-rors in adjusting for the entry of new firms. For theestablishment survey % BLS uses the benchmark link-relative estimating technique, which is a form of ratioestimation. The employment estimates for a month areprojected from the levels estimated for the previousmonth based on the change in the employment indicated
by the firms responding to the survey. It is difficult toinclude reports from newly formed businesses in atimely manner. This type of omission may be a sourceof errors in the estimates in an industry that ischaracterized by the formation of numerous new firms.On the other hand, the sample does reflect businessdeaths—businesses that discontinue operations.
BLS has developed bias adjustment factors which areapplied to the employment estimates to correct for theunderrepresentation of business births and for otherbiases in the estimates. The bias adjustment factors,which vary by industry, are based on past experiencesand are reviewed and recalculated as part of the bench-marking process. The factors in use between March1978 and March 1979 were too high for several con-struction industries and too low for several trade andservices industries. The error due to incorrect bias fac-tors contributed less than 100,000 to the March 1979benchmark revision, compared with a figure of morethan 300,000 in the March 1978 revision. The estimatesprojected from the revised 1979 employment levelsreflect new bias adjustment factors calculated as a resultof this most recent experience. The effect of the new
9
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 12: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/12.jpg)
factors is to reduce the magnitude of the March1979-March 1980 change by about 90,000.
A third cause of differences arises from im-provements in the quality of the benchmark sourcedata. Although relatively infrequent, improvements inthe source data can introduce substantial changes in thelevels of certain sectors. This is the primary reason forthe relatively large revision in the estimates for State andlocal government. These estimates have been adjustedto more comprehensive counts of employment madepossible through the expansion of UI coverage to mostemployees of State and local governments beginning in1978. Previously, this sector was benchmarked to the5-year censuses and annual surveys of governments con-ducted by the Bureau of the Census for October.Employment levels from the new benchmark sourcewere approximately 300,000 higher than those estimatedfrom the previous source. The difference has beenwedged back two years rather than one, to the previousbenchmark (March 1977), which was based on theOctober 1976 Survey of Governments. (See also discus-sion under "Benchmark source material.")
The fourth reason for differences between estimatesand benchmarks is the procedure used to keep the in-dustrial classification of establishments up to date. Anestablishment is classified by industry according to itsmajor activity, which is determined by the principal pro-duct produced or handled, or service rendered. Anestablishment may engage in more than one activity. Ifits output of products or services changes so that whatwas once a secondary product or activity becomes aprimary one, the establishment is reclassified to the in-dustry of its new major activity. These changes are in-troduced into the employment estimates at the time ofthe benchmark adjustment, based on annual productand activity reports. Thus, differences betweenestimates and benchmarks for a particular industry mayresult when the estimates are linked forward frombenchmark levels which do not reflect interveningclassification changes for individual establishments.2 Atthe more detailed industry levels, particularly withinmanufacturing, changes in classification are the majorcause of benchmark adjustments.
The March 1979 benchmarks were tabulated accor-ding to the 1972 Standard Industrial Classification(SIC) Manual as amended by the 1977 Supplement. TheSupplement lists one new 4-digit industry—SIC 3716,motor homes. Motor homes were formerly classifiedunder SIC 3792, travel trailers and campers. Because ofits small size, SIC 3716 will be combined with SIC 3715,truck bodies, in the detail, published by BLS. Employ-ment levels for this new industry combination have beencarried back to January 1977.
Benchmark source materialUI records are the primary sources of benchmark
data. With the expansion in coverage in January 1978,
UI programs now cover approximately 98 percent ofemployees in the total nonagricultural sector and 97 per-cent of those in the private nonagricultural sector.
For the few remaining industries exempt from man-datory UI coverage, BLS uses other sources. Data onemployees covered under Social Security laws, publish-ed by the Bureau of the Census in County Business Pat-terns, are used to augment UI data for nonoffice in-surance sales workers. Data for interstate railroads areobtained from the Interstate Commerce Commission;benchmarks for private elementary and secondaryschools are derived from data obtained from the U.S.Office of Education and the National Catholic WelfareAssociation. Employment figures for religiousorganizations are obtained from data provided by theNational Council of Churches and recent surveys ofchurches conducted by several State agencies.
Employment counts for the Federal Government arederived from official summaries prepared by the Officeof Personnel Management (OPM). These summaries arecomplete counts of Federal workers and are not subjectto benchmark revisions.3 The official OPM summariesdo not provide detail on Federal employment by in-dustry, such as hospitals, on a current monthly basis.These are projected by BLS from a sample of Federalestablishments.
For the first time, the Bureau has adjusted the Stateand local government sector to benchmarks derivedfrom UI data. As mentioned earlier, UI coverage wasextended to most State and local government workers inJanuary 1978; however, tabulations for the first quarterof 1978 contained significant problems which precludedtheir use as benchmarks for that time period. Most ofthese problems have been eliminated in the March 1979tabulations.
Some employees of State and local governments arenot covered by UI. For example, interns and trainees inhospitals are not covered, nor are most full-time collegestudents (and working spouses) who are on payrolls ofState colleges and Universities. (Interns, trainees, andstudents on payrolls of private hospitals and colleges arealso excluded from UI coverage.) In addition, electedofficials, legislators, and members of the judiciary arenot covered; also temporary emergency employees andemployees who work less than a stipulated number ofhours per week for small local jurisdictions are notcovered in some States. Adjustments have been madefor these exclusions based on surveys conducted byState agencies. The adjustments add about 3 percent tothe UI total.
2 The changes are wedged or tapered into the estimates over the year in whichthe change in primary activity took place.
3 Employees of the Central Intelligence Agency and the National SecurityAgency and employees of the Department of Defense paid from nonap-propriated funds are not included in the OPM summaries or these series.
10
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 13: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/13.jpg)
The March 1979 benchmark for State and localgovernment, thus derived, was higher than the cor-responding estimate by 303,000. This difference hasbeen wedged back to March 1977, the previousbenchmark.
The Bureau's reporting sample is also an importantsource of benchmark information. Since sample reportsare current and are reviewed monthly, reporting errorsthat are detected and corrected in the sample reports canalso be corrected in the corresponding benchmarkreports. The industry classification of each sampleestablishment is reviewed on the basis of informationsupplied by the employer. Changes in industryclassification of sample reports often precede suchchanges in other sources of information. Insofar assample reports are known to differ from the corre-sponding employer's reports included in other bench-mark source material, the data from the other sourcesare modified accordingly.
Relation of employment benchmarks to otherseries
Complete counts for the series on women, productionworkers, hours, earnings, and labor turnover actionsare not available. These series are produced by applyingan estimated ratio of women and production workers tothe estimated all-employee figures or the average hours,earnings, or labor turnover rates derived monthly fromthe BLS reporting sample. For primary estimating cells,i.e. region and/or size strata within the most detailed in-dustry classifications, the women-worker/all-employeeratio, the production-worker/all-employee ratio,average weekly hours, average hourly earnings, andlabor turnover rates are estimated directly fromreported figures. Series for broader industry groupings,however, require a weighting mechanism to yield mean-ingful averages. The production or nonsupervisoryworker employment estimates for the primary cells areused as weights for the hours and earnings estimates forthe broader industry groupings. The estimates of allemployees for the primary cells are used as weights forthe labor turnover rates for broader industry groupings.
Adjustments of the all-employee estimates to newbenchmarks may alter the weights, which, in turn, maychange the estimates for labor turnover, employment ofwomen, and employment, hours, and earnings of pro-duction and nonsupervisory workers. For employmentestimates—women and production or nonsupervisoryworkers—the revisions at the estimating cell level areadded to become the summary level revisions. To in-fluence the hours, earnings, and labor turnover averagesof a broad group, employment changes have to berelatively large and must affect industries which havesubstantially higher or lower averages than the other in-dustries in their group. Generally speaking, newbenchmarks do not change hours, earnings, and laborturnover series for groupings by more than 0.1 hour, 1
cent, or 0.1 per 100 employees, respectively. Thechanges in the hours, earnings, and labor turnoverestimates for broad industry categories are shown intable 5.
Revision of seasonally adjusted dataAs is the usual practice, BLS has revised all seasonally
adjusted series by incorporating the changes in levelscaused by the benchmark revision and the addition ofthe most recent year of data for the calculation of newseasonal adjustment factors for the coming year. Thisyear, BLS is also introducing an improved seasonal ad-justment methodology—the X-ll ARIMA (Auto-Regressive Integrated Moving Average) program, whichis an extension of the Census X-ll method. TheARIMA models used to project or extrapolate the dataseries for 1 year ahead have not been incorporated inseasonally adjusting the establishment series.
The X-ll ARIMA program is similar to other ratio-to-moving average approaches, but it has other options(besides ARIMA) which were not available in the BLSSeasonal Factor Method used previously. The new pro-gram provides the user with the option of specifyingeither a multiplicative or an additive model. In the firstcase, the seasonally adjusted series is calculated bydividing each month's original value by the correspond-ing seasonal factor, and in the second case, by subtract-ing the seasonal factor from the original value. A testof the models with the establishment series has indicatedselection of the additive model could result in slightlyimproved seasonally adjusted estimates for a smallnumber of series. However, since the improvementswere marginal, the jnultiplicative model has been retain-ed for all establishment series in the current adjustment.Seasonal factors were not computed for a number ofseries4 which are characterized by small seasonal com-ponents relative to their trend-cycle and/or irregularcomponents. The unadjusted series is shown and used inthe aggregation to broader level seasonally adjustedseries for those series so identified. Later reviews andcontinuing research may result in a decision to changemodels for some series in subsequent revisions.
Some series require special adjustments. For example,the retail trade employment series, which is affected byabrupt shifts in employment at the Christmas season,and which is also affected significantly by the shiftingdate of Easter, is subjected to special seasonal adjust-ment procedures. BLS also takes into account, inseasonally adjusting the employment series for thetransportation equipment industry, the shifting dates ofautomobile plant retooling during the summer months.The Federal Government series is adjusted to remove theeffect of the temporary hiring of postal workers atChristmas time.
The series are identified in tables 7 through 13.
11
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 14: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/14.jpg)
Table 5. Comparison of hours, earnings, and labor turnover estimates based on previous (1978) benchmarks with estimates revised to March 1979
benchmarks by industry division and selected major industry group, March 1979
Industry division and group
Average weekly hours
Previousestimate
Revisedestimate Difference
Average hourly earnings
Previousestimate
Revisedestimate Difference
Labor turnover accessionrates (per 100 employees)
Previousestimate
Revisedestimate
Difference
Total private
MiningConstructionManufacturing
Durable goods
Lumber and wood productsFurniture and fixturesStone, clay, and glass productsPrimary metal industriesFabricated metal productsMachinery, except electricalElectric and electronic equipmentTransportation equipmentInstruments and related productsMiscellaneous manufacturing
Nondurable goods
Food and kindred productsTobacco manufacturesTextile mill productsApparel and other textile productsPaper and allied productsPrinting and publishingChemicals and allied productsPetroleum and coal productsRubber and miscellaneous plastics productsLeather and leather productsTransportation and public utilitiesTradeFinance, insurance, and real estateServices
35.7
42.937.040.6
41.4
39.739.041.841.941.342.640.742.341.339.2
39.3
39.638.140.435.442.637.741.943.841.435.939.832.436.332.6
35.7
42.937.140.6
41.4
39.739.041.841.941.342.640.742.341.339.2
39.3
39.638.140.435.442.637.741.943.841.435.939.832.436.332.6
0-.10
000000000
00000000000000
$6.02
8.278.976.56
6.99
5.844.956.648.756.727.196.168.426.044.95
5.85
6.126.644.524.196.886.777.369.315.864.177.904.985.165.26
$6.02
8.288.996.56
7.00
5.834.956.658.756.757.206.178.426.054.95
5.85
6.126.624.524.186.896.817.379.305.854.167.894.995.145.27
- .01- .02
0
-.01
5.0
3.8
3.6
.010.010.03.01.010.010
5.84.94.92.63.72.83.53.42.75.2
4.1
002001010401010101010102.01
5.32.24.55.22.73.31.82.34.56.3
5.0
3.8
3.6
5.84.94.92.63.72.83.53.42.75.2
4.1
5.32.34.55.22.63.31.82.24.66.4
0000000000
0-— 100
.100
.1-.1-.1
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 15: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/15.jpg)
Seasonal factors in labor turnover reflect the varia-tion in the number of times a day of the week (Monday,for example) falls in a particular month. To eliminatethis calendar irregularity, the Bureau uses the "tradingday" factor option in the X-ll ARIMA program.
Publication of revised historical dataRevised historical data for detailed industry
categories of employment, hours, earnings, and laborturnover will be presented in a supplement to Employ-ment and Earnings to be issued in August. Revisedseasonally adjusted data will be shown for the periodsJanuary 1975 through March 1980; unadjusted data willbe shown from January 1977 through March 1980.5
Data for earlier time periods can be found in Employ-ment and Earnings, United States, 1909-78 (BLSBulletin 1312-11), issued in 1979.
Monthly employment estimates are published formost of the significant industries in the nonagriculturalsector. Those industries for which monthly data are notpublished either are too small or are not represented bya sufficient sample. However, the March benchmarkfigures for a number of such industries are published intable 6.
Seasonal adjustment factors are recalculated annuallyand updated factors are published in conjunction withthe benchmark revisions. The seasonal factors that willbe used for the period April 1980 through March 1981for all establishment series are shown in tables 7 through13.
5 For convenience to the user, seasonally adjusted data for 1974 will also bedisplayed. The August 1980 supplement will thus supplant all revisions reportedin the November 1979 supplement.
13
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 16: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/16.jpg)
Table 6. Employment benchmarks for Industries not published monthly, March, 1972-79(In thousands)
Indus t ry 1972SIC Code
-
-
10-14103104-6,8,911131132141,5,8,915-1717717817920-3924,25,32-3924292439
244124482449
245224912492,9
2517,9252125222541254225912599325132553253,93261
3262,3326432693274,532832933295
3297,9331333153316332433313332,333393343354
3355,6336233693393398339934123421
March1972 i
72,138
58,717
22,9056187.
16.4.
139.3.
17.
390974
3,55389.14.
272.
417
18,73410,773
6.10.
12.17.14.
27.12.63.
18.12.28.29.24.13.10.24.12.18.10.
10.10.11.21.13.23.13.
14.14.20.16.8.
17.9.8.
17.30.
22.17.18.17.9.7.
12.13.
19
098
459
11406829343
1877462
7696760352
12979899
March1973
75,422
61,568
24,1746207.
15.3.
135.3.17.
039063
3,71899.14.
300.
478
19,83611,664
6.11.
12.19.14.
27.12.69.
19.12.30.31.26.14.10.26.13.18.11.
11.11.12.22.13.27.13.
16.15.21.18.10.17.9.8.
17.31.
23.19.21.19.10.8.
12.14.
67
517
285
08089791200
0942846
6595172383
45514775
March1974 »
77,362
63,089
24,5706657.4
18.93.7
135.63.8
18.63,878111.816.0
315.320,02711,876
7.311.3
12.822.113.8
22.713.370.2
19. 113.532.531.527.215.310.325.613.818.811.5
9.812.613.522. 113.430.015.0
17.615.922.819.49. 7
17.29.5
10.220.432.4
25.620.719.120.610.89.8
13.215.2
March1975
75,686
60,789
21,9517308.
21.3.
146.4.
18.
176415
3,23572.15.
277.
348
18,00010,634
6.8.
9.16.10.
17.12.55.
14.11.27.25.24.12.9.
18.13.14.8.
9.11.13.19.12.22.14.
15.15.20.17.8.
17.9.
10.18.24.
22.18.15.18.10.8.
11.14.
03
789
698
23391290486
7338376
8730348592
36165187
March1976
78,092
62,967
22,7287618.
23.3.
154.4.
18.
096101
3,27680.16.
275.
122
18,69110,861
6.9.
10.18.11.
19.11.62.
14.11.25.28.24.13.9.
20.11.14.9.
9.10.14.19.11.24.13.
16.13.20.16.8.
15.9.
10.19.25.
21.17.18.18.10.8.
12.14.
37
291
687
07101130748
8288969
3575534835
59284459
March1977
80,493
65,294
23,4888057.8
27.33.3
159.34.2
18.13,43087.319.0
287.419,25311,322
6.812.1
10.020.710.7
21.312.564.6
14.814.026.729.826.514.210.220. 113.014.310.2
8.910.714.919.712.125.914.8
15.414.820.817.89.7
15.79.2
10.020.630.3
22.918.720.320.911.39.6
13. 115.3
March1978
84,455
68,729
24,5546997.
31.3.
173.4.
19.
341520
3,73396.19.
307.
473
20,12211,992
7.15.
9.22.10.
25.13.69.
16.16.29.32.28.16.11.21.12.14.11.
9.10.14.21.11.27.14.
17.14.23.19.1 1.15.9.
10.21.33.
23.19.20.23.12.10.13.16.
01
069
101
82712016983
5860997
5118974169
62309130
March1979
88,654
72,552
25,9939286.2
35.43.1
185.34.7
18.94,093105.319.5
342.420,97112,744
6.617.0
8.927.810.8
25.013.571.2
15.917.132.233.330.116.511.822.014.115.811.2
9.410.715.321.712.129.316.3
18.314.725.920.511.615.59.6
10.324.433.3
24.820.422.025.113.711.413.915.9
Total
Total private
Goods-producing...Mining
Lead and zinc oresOther metal oresAnthracite mining •Crude petroleum and natural gasNatural gas liquidsNonmetallic minerals, exc. fuels,nee.
ConstructionConcrete workWater well drillingMisc. special trade contractors
ManufacturingDurable goods
Special product sawmills, neeStructural wood members, neeNailed and lock corner wood boxesand shook
Wood pallets and skidsWood containers, neePrefabricated wood buildings andcomponents
Wood preservingParticleboard and wood products,nee.Wood TV, radio, phonograph, andhousehold furniture
Wood office furnitureMetal office furnitureWood partitions and fixturesMetal partitions and fixtures.......Drapery hardware & blinds & shades..Furniture and fixtures, neeBrick and structural clay tileClay refractoriesOther structural clay productsVitreous plumbing fixturesVitreous china and earthenwarefood utensils «..
Porcelain electrical suppliesPottery products, neeLime and gypsum productsCut stone and stone productsGaskets, packing and sealing devicesMinerals, ground or treatedMonday refractories and non-metallic mineral products, nee
Electrometallurgical productsSteel wire and related productsCold finishing of steel shapesSteel investment foundriesPrimary copperPrimary lead and zincPrimary nonferrous metals, nee
Secondary nonferrous metalsAluminum extruded productsAluminum and nonferrous rolling anddrawing, nee •
Brass, bronze, and copper foundries.Nonferrous foundries, nee
Misc. primary metal productsMetal heat treatingPrimary metal products, nee...Metal barrels, drums, and pailsCutlery
See footnotes at end of table.
14
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 17: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/17.jpg)
Table 6. Employment benchmarks for industries not published monthly, March, 1972-79—Continued(In thousands)
Industry
Metal sanitary ware....Prefabricated metal buildingsMisc. metal workNonferrous forgings and crowns andclosures
Steel springs, except wireWire springsFabricated pipe and fittingsMetal foil and leaf, and fabricatedpipe fittings..•
Lawn and garden equipmentElevators and moving stairwaysHoists, cranes, and monorails..Rolling mill machineryMetalworking machinery, neeWoodworking machineryPaper industries machinerySpecial industry machinery, neeIndustrial patternsIndustrial furnaces and ovensGeneral industrial machinery, nee...Office machines, scales andbalances, exc. laboratory
Automatic merchandising machines....Commercial laundry equipmentMeasuring and dispensing pumps andservice ind. mach., nee
Welding apparatus, electricCarbon and graphite productsElectrical industrial apparatus, neeHousehold cooking equipmentOther household appliances.Commercial lighting fixturesVehicular & lighting equipment, nee.Phonograph recordsElectronic capacitorsElectronic resistors and connectors.Electronic coils and transformers...Primary batteries, dry and wetX-ray apparatus and tubesOther misc. electrical equipment....
Motorcycles, bicycles, and partsSpace propulsion units and otherspace vehicle equipment
Other transportation equipmentFluid meters and counting devices...Measuring and controlling devices,nee
Dental equipment and suppliesSilverware and plated wareJewelers' materials and lapidarywork
Pens and mechanical pencilsLead pencils and art goodsMarking devices, carbon paper andinked ribbons
Artificial flowers and buttonsNeedles, pins, and fasteners........Brooms and brushesBurial casketsManufacturing Industries, nee
Nondurable goods
Poultry and egg processingCreamery butter and condensed andevaporated mi Ik
See footnotes at end of table.
1972SIC Code
343134483449
3463,6349334953498
3497,935243534353635473549355335543559356535673569
3576,935813582
3586,936233624362936313635,6,936463647,8365236753676,83677369236933699375
3764,93795,93824
382938433914
391539513952
3953,53962,33964399139953996,9
20-23,26-31
2017
2021,3
March19721
12.516. 1
9.37.9
14.722.9
45.316.616.616.611.413.110.314.348.59.4
16.939.7
31.710.26.2
35.814.112.711.022.434.416.320.123.918.910.015.511.011.613.917.5
17.015.113.6
17.111.910.9
7.110
13.410.521.616.914.958.8
7,961
13.2
18.3
March1973
13.220.49.6
9.88. 1
15.923.3
48.119.516.718.011.913.112.116.253.010.318.942. 1
32.010.96.4
37.515.713.612.725.238. 117.421.225.322.212.018.812.113.314.119.7
15.916.913.9
17.712.711.9
8.011.78.6
14.11 1. 121.718.314.962.1
8,172
13.5
17.4
March19741
12.824.412.2
10.38.2
16.423.4
49.119.716.319.613.513.713.418.458.210.720.545.2
35.012.86.2
38.717.014.414.120.939.318.321.524.02 5.017. 120.713.715.013.820.5
14.115.715.2
18.514.512.7
8. 112.39.1
14.210.420.217.414.562.6
8, 151
14.9
17.6
March1975
8.817. 710.4
10.37.0
12.824.1
40.818.814.119.714.312.911.219.056.29.618.443.8
31.87.15.4
37.317.213.411.216.429.614.219.320.515.713.615.111.117.010.713.9
13.816.213.5
17. 714.911.2
8.09.98.3
12.98.916.415.213.655.4
7,366
12.8
17.7
March1976
9.919.88.9
10.08.2
13.424.7
44.318.011.719.312.811.510.717.952.59.4
17.542.9
30.77.85.6
37.015.612.610.721.933.513.423.024.218.612.917.212.817.911.217.1
14.617.413.3
17.515.411.6
9.311.39.0
13.89.9
17.517.312.858.1
7,830
14.5
16.4
March1977
10.520.18.6
11.38.5
15.024.4
46.918.811.420.010.412.411.218.254.110.018.041.9
35.17.75.8
37.116.713.411.824.333.014.622.724.020.315.920.214.718.314.917.3
18.019.114.3
19.116.911.6
9.011.28.9
14.28.9
19.618. 112.559.9
7,931
13.6
15.4
March1978
11.225.410.3
10.98.4
16. 126.0
49.020.711.916.910.213.112.418.057.010.419.544.2
35.29.86.0
38.118.313. 113.825.637.315.325.327. 123.619.022.416.222.716.219.1
18.420.914.6
21.216.911.7
9.612.29.6
14.88.919.417.812.763.0
8,130
12.9
14.9
March1979
11.527.610.7
11.29.0
16.627.1
49.623.912.819. 711.514.413.319.360.810.719.948.2
41.310.55.9
42.219. 613.914.325.037.017.327.927.925.621.725.616.025.614.918.6
20.022.517.5
22.217.71 1.8
9.212.39.5
16.48. 6
19.017.212.264. 7
8,227
15.2
15.7
15
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 18: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/18.jpg)
Table 6. Employment benchmarks for Industries not published monthly, March, 1972-79—Continued(in thousands)
Indus try 1972SIC Code
March19721
March1973
March19741
March1975
March1976
March1977
March1978
March1979
Ice cream and frozen dessertsDehydrated fruits, soups, andvegetables
Pickles, sauces, and salad dressingsFrozen specialties •Cereal breakfast foodsWet corn millingDog, cat, and other pet foodRice milling and blended andprepared flour
Chocolate and cocoa products andchewing gum •••
Oil millsAnimal and marine fats and oilsShortening and cooking oilsMalt and other flavoring extractsand syrups
Wines, brandy, and brandy spirits...Distilled liquor, exc. brandyCanned and cured seafoodsFresh or frozen packaged fishRoasted coffeeMisc. food preparation
CigarsOther tobacco manufacturesKnit fabric and knitting mills, nee.Finishing plants, neeWool yarn millsThread millsCoated fabrics, not rubberizedTire cord and fabricCordage and twineOther textile goodsMen's and boys' underwearMen's and boys' neckwearMen's and boys' clothing, neeHats, caps, and millineryChildren's coats and suitsChildren's outerwear, neeFur goodsFabric dress and work glovesRobes and dressing gownsWaterproof outer garmentsApparel and accessories, nee.Textile bagsCanvas and related products.Pleating and stitchingOther fabricated textile products...Pulp millsBuilding paper and board millsDie-cut paper and boardSanitary paper productsOther converted paper productsSet-up paperboard boxesFiber cans, drums, and similarproducts
Engraving and plate printingCommercial printing, gravure
Greeting card publishing.••Blankbooks and looseleaf binders*.••Bookbinding and related workTypesettingOther publishing and printingAlkalies and chlorineIndustrial gases
2024
203420352038204320462047
2044,5
2066,72074,5,620772079
2083,7208420852091209220952097-9212213,42258,92269228322842295229622982291-4,7,92322232323292351,2236323692372381238423852386,7,92393239423952397,9261266264526472646,8,92652
2655275327541112782278927912793-528122813
20.5
15.122.424.213.616.213.6
10.2
20.916.011.411.4
12.29.7
22.117.129.214.686.415.215.028.919.015.811.713.111.611.136.020.510.156.114.28.7
27.24.713.512.418.120.87.714.117.624.213.413.416.715.440.816.3
18.112.39.0
21.230.925.924.217.524.015.4
21.3
13.821.526.614.914.414.6
10.7
19.916.711.411.4
12.910.620.715.927.814.687.414.714.329.020.017.612.513.712.111.137.119.910.359.115.69.8
36.34.315.412.517.921.48.015.316.934.713.914.018.516.542.016.1
20.712.89.322.932.926.024.517.323.616.1
19.6
15.423.127.115.814.216.1
11.7
19.417.711.612.3
13.411.519.818.027.15.88.114.13.30.020.314.711.913.012.811.837.919.09.2
57.415.18.8
34.33.516.612.416.120.48.715.116.430.714.313.918.516.345.215.8
21.612.78.4
22.534.124.923.916.722.816.9
19.4
14.421.023.616.113.516.9
11. 9
16.917.311.412.7
13.312.619.016.424.514. 183.612.414.125.915.610.28.310.810.99.9
31.713.96.5
49.215.27.5
30.63.612.59.2
14.019.97.4
13.013.524.414.111.216.015.338.612.1
18.011.17.8
21.931.823.123.415.623.217.1
18.8
16.323.827.116.112.317.7
11.6
19.417.510.813.5
13.211.519.316.726.814.287.410.412. 726.718.410.910.912.811.810.035.915.77.5
55.615.78.8
34.64.012.311. 114.522.58.1
13.315.230.015.611.816.919.341.213.6
19.011.67.8
20.032.023.022.915.121.817.6
19.4
16.82 3.029.316.813.316.6
12.3
20.016.212.512.9
13.211.118.517.728.613.892.19.413.724.717.311.711.012.712.010.734.615.96.7
57.715.48.1
34.04.013.911.313.621.68.513.415.029.916.812.117.222.342.613.3
18.511.610.021.033.522.823.815.021.921.3
18.2
16.624.331.916.413.017.8
12.6
18.918.511.113.3
14.212.918.518.530.813.796.89.1
14.325.116.410.910.912.011.010.536.616.57.2
60.715.68.2
33.94.214.511.713.121.89.313.917.229.717.313.517.425.544.913.0
19.011.212.022.035.924.024.815.423.621.0
19.4
17.923.334.216.012.917.5
13.7
19.819.411.014.3
14.212.418.517.633.213.396.58.314.226.3-16.49.910.111.711.510.536.617.36.8
58.516.47.5
31.84.315.211.112.620.49.414,816.133.215.812.817.625.544.112.6
19.411.510.923.038.323.926.716.421.321.7
See fc nd of table.
16
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 19: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/19.jpg)
Table 6. Employment benchmarks for Industries not published monthly, March, 1972-79—Continued(In thousands)
Indus Cry 1972SIC Code
March19721
March1973
March19741
March1975
March1976
March1977
March1978
March1979
Inorganic pigmentsSynthetic rubberCellulosic man-made fibersBiological products.*Hedlcinals and botanicalsNitrogenous fertilizersPhosphatic fertilizersFertilizers, mixing onlyAgricultural chemicals, neeAdhesives and sealantsExplosives •Printing inkOther chemical preparationsPaving mixtures and blocksAsphalt felts and coatings
Misc. petroleum and coal products....Fabricated rubber productsBoot and shoe cut stock and findings.House slippersFootwear, except rubber, neeWonen's handbags and pursesPersonal leather goods, nee
Other leather products, nee
Service"producing.
Transportation and public utilities.Transportation •
Other railroads and switching andterminal companies
Other passenger transit services....Trucking, local and long distance...Trucking terminal facilitiesDeep sea transportationWater transportation servicesOther water transportationAir transportation servicesFreight forwardingArrangement of transportationOther transportation servicesTelegraph communicationCommunication services, nee
r supply.m supply and irrigation systems.ale and retail tradeale trade'-product raw materials
WatSte
WholeWhole
FarRetail trade.
Paint, glass, and wallpaper stores..Retail nurseries and garden stores.•Mobile home dealersOther food storesNew and used car dealersUsed car dealersOther automotive dealersWomen's accessory and specialtystores •
Children's and Infants' wear stores.Furriers and other misc. appareland accessories
Used merchandise storesFinance, Insurance, and real estate...
See footnotes at end of table.
2816282228232831283328732874287528792891289228932895,929512952299303,4,63133142314931713172315,9
40-4940-42,44-47
4012414,7421423441,2446443-5458471472474,8482489494496,750-5950-5151552-59523526527543-5,9551552555-7,9
563564
568,959360-67
11.416.438.717.914.811.015.613.818.313.823.211.340.910.918.511.3
133. 113.210.635.120.312.413.5
49,233
4,4852,631.3
56.09.3
998.84.5
54.7116.035.332.034.064.220.324.228.417.12.3
15,4954,048134.3
11,447483335.274.5
762.638.667.7
26.521.1
29.735.2
3,841
12.217.139.818.314.811.315.815.419.014.223.211.139.910.620.010.9
145.312.411.525.521.512.613.6
51,248
4,5792,700.8
54.810.1
1057.04.6
50.1112.433.534.534.166.120.822.631.318.12.4
16,1764,205135.4
11,97149.436.239.080. 1
797.143.872.0
28.020.8
29.436.8
3,989
13.616.738.19.14.11.15.16.021. 115.522.412.440.610.919.411.5
144. 211.411.425.520.912.814.5
52,792
4,6842,754.2
4610
10925
47112.437.334.436.470.822.420.331.718.32.6
16,5374,374134.5
12,16350.244.636.085.8
748.042.672.4
25.620.6
3038
4,107
12.714.525.218.715.012.016.816.023.314.819. 712.337.410.017.011.2
120.68.69.0
22.717.010.812.2
53,721
4,5132,610.2
53.211.1
982.14.5
45.1108.339.336.736.874.121.219.034.318.42.6
16,5714,354131.3
12,21751.341.528.689.6
715.340.667.1
25.421.4
30. 742.2
4,117
12.613.424.919.614.214.016.215.323.915.513.610.640.510.118.611. 1
126.510.3' 8.223. 120.414.013.6
55,364
4,5062,617.3
43.011.1
1023.04.6
42.7107.436.836.836.680.519.617.837.518.53.0
17,2454,480136.2
12,76553.245.727.093.0
759.245.073.0
25.022.3
32.945.8
4,204
12.813.921.019.915.916.715.615.723.016.613.711.342.810.118. 711.0
133.710.18.3
21.619.813.914.3
57,005
4,6032,696.8
43.812.3
1,071.35.0
42.9103.839. 739.240.290.620.218.040.419.03.3
17,8914,607142.2
13,28455.747.027.095.2
790.845.976.4
23.623. 7
34.448.4
4,377
12.614.120.920.716.014.515.014.424.518.013. 112.145.39.719.610.9
138.811.48.3
23.318.614.314.5
59,901
4,8042,828.6
48.013.1
1164.85.2
42.7117.341.841.043.3102.621.318.244.119.43.2
18,8784,852143.9
14,02658.048.529.6
103.8828. 947. 181. 9
22.824.7
37.051. 1
4,623
12.514.213. 121.816.714.015.015.426.019.813.412.446.910.320.812.0
145.711.68.5
24.018.613.814.7
62,661
5,0452,967.4
50.513.6
1,224.87.1
42.0115.144.445.945.2
113.821.718.450.820.02.5
19,8095,135145.6
14,67461.152.529.6
107.4855.348.587.5
24.026.2
43.256.2
4,876
17
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 20: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/20.jpg)
Table 6. Employment benchmarks for Industries not published monthly, March, 1972-79—Continued(In thousands)
Industry 1972SIC Code
603601,4,5615616611,3
622,3,8635-7,9654671
672,3,907,70-86,89,99
074,5,8703702,4722724725,9735,9751752754762764763,9
782792793794
791,9803804807808,9824823,9832833835836839
841,2861862863864866865,9892,999
-_-----—
March19721
4045224013
28501530
40
.4
.5
.0
.3
.0
.0
. 1
.5
.9
.411,991
1341519303173
8146537646022112
12629849
2521342677343407371150107117
206224
118270883449235
.3
.0
.1
.4
.8
.7
.4
.5
.3
.2
.5
.1
.8
.0
.3
.0
.0
.5
.1
.1
.6
.1
.5
.5
.1
.5
.0
.4
.2
.1
.4
.2
.6
.9
.6
.4
.6
.8
13,4212,683N.N.N.N.N.
A.A.A.A.A.
10,7372,900
March1973
43.748.223.343.913.8
28.454.017.433.3
42.52,650
145.216.419.233.030.489.6
885.678.038.764.362.422.9117.2
11.357.898.055.4
278.014.448.973.683.849.244.075.975.1
159.0113.4117.9
22.265.826.0130.0276.3866.448.697.045.8
13,8542,656N.A.N.A.N.A.N.A.N.A.
11,1982,978
March19741
46.952.424.244.314.3
27.854.416.134.4
45.013,191
140.813.823.432.828.0104.4918.581.736.860.366.121.5127.1
11.063.1102.048.4
297.815.456.378.391.948.248.384.991.8168.7126.1135.0
23.969.127.4
137.2284.3866.552.0100.962.9
14,2732,691N.A.N.A.N.A.N.A.N.A.
11,5823,085
March1975
49.56.24.41.15.
28.55.14.37.
47.
10232
1495
413,632
141.15.21.33.26.108.964.79.35.58.65.20.
130.
10.62.
103.55.
308.16.59.80.108.44.52.96.84.196.141.142.
24,74.27.138293,861.5510680
9231554772129
4607
936516347829
736620971
14,8882,72426438619
141
.5
.3
.5
.5
.212,1633,258
March1976
53.56.23.43.15.
28.59.17.37.
51.
02678
9907
314,284
157.14.20.35.26.
109.995.83.36.58.68.21.137.
9.65.
106.60.
328.17.62.87.
122.45.56.
102.101.216.152.162.
25.74.31.138.294.881.64.
107.123.
5460476127340
8846
057039988899
778963990
15,1252,72427.40.84.16
138
52057
12,4013,311
March1977
58.157.222.748.115.6
32.461.820.341.9
50.714,935
166.414.718.536.026.8122.3
1,035.788.336.763.169.922.0140.6
10.472.1
112.260.5
355.719.469.092.2135.244.454.9112.6120.1238.9175.8175.4
25.775.630.7142.6296.5882.760.4109.3110.5
15,1992,71428.641.487.117.2
143.912,4853,427
March1978
62.859.223.456.016.4
35.570.822.644.5
55.815,870
180.713.617.840.527.3
135.41,132.0
102.537.469.376.322.3156.8
11.176.2115.160.7
383.021.077.496.3
157.745.963.2127.1149.8275.8190.0204.2
28.879.733.2
141.6304.5875.064.9116.2111.3
15,7262,72519.432.274.419.1
154.713,0013,502
March1979
66.61.29.60.17.
38.73.22.51.
57.
21863
5084
616,829
200.14.16.42.27.141.
1,239.116.37.71.84.23.
173.
10.83.
116.60.
405.22.85.
101.172.47.69.
155.173.316.196.227.
30.81.33.
146.305.890.65.
125.94.
6398854351210
7240
103620996955
499704077
16,1022,74019.33.77.22.
126.
30499
13,3623,607
Mutual savings banksOther related banking functionsBusiness credit institutionsMortgage bankers and brokers...Credit agencies other than banks, neeOther security, commodity brokersand services •
Other insurance carriersTitle abstract officesHolding officesHolding and other investmentoffices, nee
Services
Veterinary, animal, landscape, andhorticultural servicesCamps and trailering parksOther lodging placesPhotographic studios, portraitBarber shopsMisc. personal servicesOther business servicesAutomotive rentals, without drivers.•Automobile parkingAutomotive services, except repairs..Electrical repair shopsReupholstery and furniture repair....MisMotion picture distribution andservices
Producers, orchestras, entertainersBowling and billiard establishments..Commercial sportsAmusement and recreationservices, nee
Offices of osteopathic physicians....Offices of other health practitionersMedical and dental laboratoriesHealth services, neeCorrespondence and vocational schoolsEducational services, neeIndividual and family servicesJob training and related services....Child day care servicesResidential careSocial services, neeMuseums, botanical, andzoological gardens.. •
Business associationsProfessional organizationsLabor organizationsCivic and social associationsReligious organizationsPolitical and membership org., nee...Miscellaneous services, nee
Nonclassifiable establishments ••
GovernmentFederal.
Small arms ammunition & ordnanceOther manufacturingTrade divisionFinance divisionOther services
State and local governmentState government
See footnotes at end of table.
18
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 21: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/21.jpg)
Table 6. Employment benchmarks for Industries not published monthly, March, 1972-79—Continued(In thousands)
Industry1972
SIC CodeMarch19721
March1973
March19741
March1975
March1976
March1977
March1978
March1979
Other State governmentConstruction division..........Transportation and publicutilities
Social services •Services, except hospitals,education, & social services..All other State government
Local governmentOther local government
Social servicesServices, except hospitals,education, and social services
1 , 6 3 2 . 8279.6
25.3113.6
68.1694.07,836
3,321.3171.1
98.8
1,689.1280.9
25.9124.8
71.7715.88,219
3,488.4176.3
101.8
1,745.2279.8
26.3136.9
78.3743.18,496
3,625.3181.5
103.5
1,839.4272.0
26.7157.2
85.1798.08,904
3,797.9187.5
111.0
1,866.6257.0
29.4157.9
89.3820.09,089
3,901.3188.1
109.7
1,947.3268.1
30.7164.7
93.2855.49,058
3,870.7186.6
108.8
2,034.5271.5
31.8161.6
103.8914.79,499
4,113.1228.7
108.9
2,134.7280.6
34.1179.7
106.9990.29,755
4,430.5227.2
146.6
1 Data for 1972 and 1974 are estimates, not universe counts.Note: Overall total and industry division totals are published monthly,nee - not elsewhere classified
19
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 22: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/22.jpg)
ESTABLISHMENT DATA
Seasonal Factors
The following tables present seasonal adjustment factors for all series In the establishment section of this periodical. These factors were derived using data through March 1980. The factors should oe
used with current estimates (adjusted to the March 1979 benchmarks) beginning April 1980.
The seasonal movements are measured in order to adjust the data statistically for such recurring events as warm and cold weather, crop-growing cycles, holidays, vacations, regular industry model change-
over periods, and the like. These movements are generally the largest single component of month-to-month change in employment, hours, earnings, and labor turnover. The seasonal factors which follow
enable the analyst to remove these influences from the data in order to determine more basic trends.
Table 7. Seasonal adjustment factors for employees on nonagricultural payrolls,by industry division and major manufacturing group
Industry1080
Apr. May J u n e J u l y Au<j. S e p t . C c t . Nov Dec.
1981
Jan. Feb . Mar.
TOTAL1
MINING
CONSTRUCTION
MANUFACTURING1
DURABLE GOODS1
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 in d . .
NONDURABLE GOODS
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 misc. plastic products
Leather and leather products
TRANSPORTATION AND PUBLICUTILITIES
99.4
'96.5
9C.499 .63 9.3
100. 199.6
100.299.3
100.39'.). 998 .3
'•H:
9 0 . 79S.3
100.2
9 9. 99 9. 899 . 19 9.6
1 00.3
WHOLESALE AND RETAIL TRADE
WHOLESALE TRADERETAIL TRADE A . . . .
FINANCE, INSURANCE, ANDREAL ESTATE
SERVICES
GOVERNMENT
FEDERAL 7STATE AND LOCAL
1 0 0 . 1 1 0 1 . 9 1 0 L 7 1 0 1 . 6 1 0 0 . 7 1 0 0 . 2 1 GO. 1
1 0 0 , 6 1 0 5 . 3 1 0 7 . 2 1 0 8 . 1 1 0 6 . 5 1 0 5 . 8 1 0 3 . 2
99.3 98.4 98.0 98.7
98.3- 30.5 88.2 91.6
100. 19 9.4
100.°,100.5100.099.799 .7
100.999.5
100.1
96. <?8 9.2
100.2100.6100.11C0.010 0.0100.0
99.9101.7
103.1100.0102.9101.S100.9100.4100.4100.9101.0101.5
91.110 1.2101.P101.5100.?.100.910?.1101.1103.2
102.697.6
102.4100.69 9 . 299.799.4
29 9.9100.197.3
9 °,. 596.9
100.a99.9
1 o o . a10?. 6
99. U
103.2.99.7
102.4100. 199.999.299.9
*D9.5100. 1102.0
106.2105.fi100.4100.3101.099.9
10 0*6102.3100.011) 1.1
102.3100.6101.9100.7100.5
99.9100.6*99.9
99.8103.0
107. 1110.3100,4100.8100.499.9
100.2101.3100.5130.4
101.5100.9101.499.7
100.699.5
100.6100.799.8
103.6
103.4110.5100. 1101.2100. 1100.0100.0100.8100.6100.4
100.0101.0100.999.4
100.6100.0100.7100.6100.0102.6
100.6107.2100.4100.9100.0100.299.8
100.5100.5100.6
98.8100.9
99.199.3
100. 4100.5100.4101.1100.1
98.8
99.0106.6100.199.399.P.
100-699.699.099.999.7
96.4100.1
96.199.399.4
100.399.7
100.399.896.3
96.7102.399.498.299.199.899.297.599.498.3
96.599.995.799.399.2
100.399.598.799.797.4
96.099.099.699.498.999.899.297.099.399. 1
99.4 100.0 1U1.0 100.6 100.3 100.9 100.6 100.5 100.5 93.7 98.7
97.2100.096.999.599.6
100.499.699.999.798.5
96.395.199.8
100.299.199.899.697.799.699.6
98.9
9 9 .
9 9 .
100.
99.102.
6
7
1
61
99.100.
100.
100.
100.102.
91
0
5
11
10 0.8100.4
101.0
101. 1
101.5*100.9
100.699.3
101.2
101.2
102.095.0
100.99.
101.
101.
101 .93 .
43
0
0
29
100.2100.4
100.0
100.3
99.697.5
100.4100.3
99.8
100.2
99.5100.8
100.101.
5 9 .
9 9 .
99.101.
37
8
9
58
100.3104.3
99.7
99.5
99.3101.6
99.393.9
99.2
93.1
99.0100.2
99.97.
9 9 .
9 8 .
99.101.
02
2
7
37
99.97.
99 .
9 9 .
99.102.
44
4
4
43
1 Seasonally adjusted data derived by summation of components.
2 Factors shown for July, August and September are based on data excluding motorvehicles (SIC 371). Comparable factor for June is 100.8.
, 3 (Factor for April 1981 will be 99.6.4 Based on data which exclude temporary Christmas employees of the Postal Service during
December.
20
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 23: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/23.jpg)
Table 8. Seasonal adjtby industry division and major manufacturing group
t factors for women employees on nonagricutturai payrolls.
Industry
1980
Apr. aay June July Aug. Sept . Oct. Hov. Dec*
1981
Jan. Feb. Mar.
TOTAL1
MINING '.
CONSTRUCTION
MANUFACTURING1
DURABLE G O O D S 1
Lumber and wood products
Furniture and fixtures
Stone, clay, and glass products
Primary metal industries 2
Fabricated metal products
Machinery, except electrical2
Electric and electronic equipment
Transportation equipment 2
Instruments and related products ,
Miscellaneous manufacturing ind ,
NONDURABLE G O O D S 1
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 2
Rubber and misc. plastic products
Leather and leather products
TRANSPORTATION AND PUBLICUTILITIES
WHOLESALE AND RETAIL TRADE 1
WHOLESALE TRADERETAIL TRADE?
FINANCE, INSURANCE, ANDREAL ESTATE
SERVICES
GOVERNMENT.1
FEDERALSTATE AND LOCAL
100,0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
98.5 99.5 101.7 101.9 102.4 101.5 101.1 100.2
100.0 100.0 100.0 100.0
90.4 98.1 97.7 98.0
99.199.599.2
100.099.9
100.099.4
100.0100.098.6
93.586.999.8
100.599.2
100.099.3
100.099.499.9
99.6
<J9.290.6
99.7
100. 3
100.2104.0
100.599.7
100.4100.0100.4100.099.7
100.099.999.9
94.405.7
100.2100.399.7
100.099.7
100.099.8
101.9
100.1
99.699.3
99.7
100.5
100.4103.9
102.199. 1
101.8100.0101.3100.0100.7100.0101.5101.8
98.886.8
101.3101.9102.2100.1100.9100,0101,1103.2
100.8
100.399.3
100.6
100.8
102.2101.1
100.696.2
100.9100.098.8
100.098.8
100.099.496.2
101.886.298.396.1
100.199.8
100.9100.097.995.ft
99.3
99.699.1
100.7
100.3
102.690.2
101.498.7
101.2100.099.4
100.099.9
100.099.9
102.1
110.8107.5100.5100.2101.399.9
101.3100.099.3
101.4
99. 1
99.999.3
100.3
100.2
101.288.1
101.9100.7101.2100.0100.6100.0101.0100.0
• 100.0104.6
113.8114.6100.7100.8100.9
99.8101.0100.0100.8100.7
100.4
100.3100.3
99.9
100.1
98.696.7
101.o101.4101.0100.0101.1100.0101.2100.0100.1105.7
105.9114.5100.6101.2101.1100.2100.7100.0101.9100.9
100.4
101.0100.4
99.9
100.4
99.0101.5
100.8102.C100.9100.0101.0100.0101.1100.0100.4104.2
101.8111.7100.8101.0100.6100.4100.2100.0101.6101.1
100.4
101.2102.7
100.1
100.1
98.9103.1
99.2101.799.7
100.0100.3100.0100.*100.0100.198.2
93.0109.999.999-399.8
100.699.4
100.0100.399.5
100.4
100.9107.0
100.0.
99.7
98.9102.9
97.5100.898.0
100.099.2
100.099.3
100.099.594.5
93.8102.799.098.198.499.698.6
100.099.297.9
99.9
99.599.0
99.4
98.7
98.9101.4
97.2100.097.6
100.098.8
100.099.0
100.099.596.2
93.1100.099.399.698.199.698.3
100.099.198.7
99.7
99.196.6
99.6
99.2
99.4103.2
98.1100.198.0
100.099.2
100.099.2
100.099.698.0
94.293.199.6
100.498.699.899.2
100.099.499.1
99.9
99.597.0
99.7
99.9
99.6104.0
1 Seasonally adjusted data derived by summation of components.2 The seasonal factors are not computed because the seasonal component is small relative
to the trend-cycle and/or irregular components and consequently cannot be separated witr
(sufficient precision.
3 Factor for April 1981 will be 08.9.
21
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 24: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/24.jpg)
Tabto S. Seasonal adjustment factors for production or nonsuparvisory workars1 on orivata nonagricufojral payrollsby industry division and major manufacturing group
Industry
1980
Apr* May Juno July Aug. Sept. Oct. JJov. Dec
1981
Jan. Feb. Ad Cm
TOTAL2
MINING.
CONSTRUCTION
MANUFACTURING 2
DURABLE G O O D S 2
Lumber and wood products . .
Furniture and fixtures
Stone, day, and glass products
Primary metal industries . . . .
Fabricated metal products . . .
Machinery, except electrical * .
Electric and electronic eojuipment
Transportation equipment
Instruments and related products .
Miscellaneous manufacturing i n d . .
NONDURABLE GOODS 2
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 product*
Rubber and misc. plastic products
Leather and leather products . . . .
TRANSPORTATION AND PUBLICUTILITIES
WHOLESALE AND RETAIL TRADE *
WHOLESALE TRADERETAIL TRADE 5
FINANCE, INSURANCE, ANDREAL ESTATE
SERVICES
99..1 100.1 102.0 101.4 101.5 100.6 100.3 100.3
96.0 101.1 106.2 108.5 109.8 108.1 107.3 104,1
98.299.699.3
100.399.6
100. S09. 5
100.69 9.898.7
94.389.09 9.3
100.399.4
100.2100.0J9.099.6
100.3
99.599. 0
99.7
100.1
100.199.3
101.0100.7100.199.999.7
101.5100.0100.4
95.787.3
100.2100.3100.1100.?.100.3100.4100.1102.2
103.5100.0103.4101.7101. 1100.4100.6101.2101.3101.9
09.689.5
101.310?..1101.9100. 1101.3102.9101.41C3.o
102.697.1
102.7100.4
99.2
•99.699.796.8
v o l . e90.29fl.496.2
100.4<>9.5
100.6103.299.195.8
103.599,6
102.799.3°9.398.599.5
»98.719. S
102.3
108.5107. 1100.4100.4101.29 9.6
100.61C3.099.9
101.4
102.5100.7102.2100.9100.695.8
100.8
99.8103.7
110.0112.3100.4101.1100.599.7
100. 1101.9100.5100.3
101.5101.1101*999.6
100.899.3
100.9101.199.7
104.5
104.8112. 1100.1101.3100.2100.099.8
101.9100.6100. 1
99.9101.3101.199.3
100.8100.1101.0100.9100.1103*2
100.9108.9100.4100.999.9
100.299.5
101.3100.6100.4
99.4
90.1
9S.5101.098.999.2
100.510C-9100.7101.7100.398.2
9C.6108.7100.199.799.7
100.999.598.799.999.?
98.4
85.9
96.0100.295.499.399.3
100*599.6
100.599.695.3
95.6102.79 9.497.998.899.699.196*499.298.1
98.0
85.4
96.399.894.899.299.1
100.699.498.499.996.8
94.698.699.599.498.799.899.395.399.299.0
99.9100.1
100.0
100.6
100.9100.4
101.2
101.2
100.799.7
101.4
1*1.2
100.599.8
101. 1
100.9
100.2 100.4100.4 100.3
100.0 99.8
100.2 100.3
100.3101.9
.99.8
99.8
100.2104.8
90.6
99.5
99.198.9
99.0
98.0
98.997.0
99.0
98.7
98.7
89.7
97.0100.196.499.599.4
100.599.5
100.199.798.2
94.993.999.8
100.298.9
100.099.896.199.699.7
99.1 100.1 101.1 100.7 100.3 100.9 100.6 1C0.5 100.5 98.6 98.5 98.8
99.397.3
99.3
99.5
1 Data relate to production workers in mining and manufacturing; to construction workers
in construction; and to nonsuparvisory workers in transportation and public utilities;
wholesale and retail trade; f inanoe, insurance, and real estate; and services.
2 Seasonally adjusted data derived by summation of components.
3 Factors shown for July, August, and September are based on data excluding motorvehicles (SIC 371). Comparable factor for June is 101.6.
« Factor for April 1961 will be 90.4.
22
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 25: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/25.jpg)
raoie 10. Seasonal adjustment factors for averagton private nonagricurtural payrolls, by industry division and major manufacturing group
ftkly hours of production or nonsupervisory worker*1
Industry1980
Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan.
1981
F e b . Mar.
TOTAL PRIVATE 2
MINING?
CONSTRUCTION
MANUFACTURING 2
DURABLE GOODS 2
Lumber and wood productsFurniture and fixturesStone, clay, and glass productsPrimary metal industriesFabricated metal productsMachinery, except electrical •Electric and electronic equipmentTransportation equipmentInstruments and related productsMiscellaneous manufacturing ind
NONDURABLE GOODS 2 •Food and kindred productsTobacco manufacturesTextile mill productsApparel and other textile productsPaper and allied productsPrinting and publishingChemicals and allied products . . .Petroleum and coal productsRubber and misc. plastic productsLeather and leather products
TRANSPORTATION AND PUBLICUTILITIES?
WHOLESALE AND RETAIL TRADE 2
WHOLESALE TRADERETAIL TRADE
FINANCE, INSURANCE, ANDREAL ESTATE?
SERVICES
100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
100.1 100.4 102.2 102.5 102.2 101.4 102.4 99.0 100.0 94.6 96.3 99.0
99.598.499.599.998.698.799.298.299.399.7
98.299.998.996. 599.29 9. 0
100.3100.199.098.5
100.499.3
100.3100.2100.099.499.6
100.5100.1
99.7
99.5101.3100.2100.0
99.899.499.999.699.3
100.3
102.0100.8101.6100.9100.9100.31C0.6101.1100.2100.3
100.0102.6101.2101.2100.7
99.8100.2100.0100.2102.0
100. 298.9
100.399.998.998.693.699.893. S9 0.7
10U.694.799.1
100.599.999. ?.99.8
101.29 9.1
100.8
100.8100.6100.9
99.499.799.099.597.799.499.7
101.398.7
100. 1100.9100.0100.499.799.999.4
100.4
101.2100.7100.5100.5100.2100.2100.5100.2100.1100.6
101.4102.0100.3100.2100.5101. 1100.1101.7100.6
99.9
101.4101.3100.9
99.5100.299.9
100.1100.7100.2100.6
100.3101.6100. 1100.4100.1100.3
99.9101.3100.7100.0
99.7101.0100.799.7
100.7100.8100.9100.8100.9101.3
100.7102.7100.7101.0100.5101.0100.6100.9100.8100.4
100.5102.5100.8100.6102.5102.9102.1104.4101.8101.2
101.2102.4101.2100.9101.6101.8100.9100.3101.8100.9
96.898.097.099.799.399.799.297.799.198.9
99.297.093.597.799.398.499.398,199.198.6
98.698.497.599.899.1
100.199.798.999.798.9
98.697.499.398.798.999.099.497.799.998.9
98.999.999.5
100.099.8
100.4100.0100.1100.4100.4
99.1100.0100.3100.399.499.999.999.3
100.398.7
100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
9 9.899.1
100.
9S.
0
5
99.899.5
100.0
99.4
100.4101.2
100.0
100.6
100.6103.1
100.0
101.5
100.102.
100.
101.
47
0
4
100.1 100.4 100.0 100.6100.0 99.5 99.2 101.5
99.197.6
99.098.1
99.798.7
100.0 100.0 100.0 100.0 100.0 100.0 100.0
99.9 100.0 S9.7 100.0 99.3 99.4 99.4
See footnote 1, table 9.See footnote 2, table 9.
See footnote 2, table 8.
Table 11. Seasonal adjustment factors for average weekly overtime hours of production workers on manufacturing payrolls
Industry
MANUFACTURING 1
DURABLE GOODSNONDURABLE GOODS
1980~
Apr. May June July Aug. Sept. Oct. Nov. Dec*
1981
Jan. Feb. Mar.
90.8 98.3 101.9 97.2 99.1 107.8 105.4 103.7 107.8 94.5 95.2 98.090.1 96.5 99.9 08.8 104.7 112.3 104.6 104.0 103.2 94.5 94.9 96.4
1 See footnote 2 table 9.
23
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 26: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/26.jpg)
Table 12. Seasonal adjustment factors for average hourly earnings of production ornonsupervisory workers1 on private nonagricurtural payrolls, by industry division
Industry
TOTAL PRIVATE2
MINING3
CONSTRUCTION
MANUFACTURING
TRANSPORTATION AND PUBLICUTILITIES3
WHOLESALE AND RETAIL TRADE . . .
FINANCE, INSURANCE, AND REALESTATE?
SERVICES
1980
Apr.
100.0
99.0
99.7
100.0
100.3
100.0
100.5
May
100.0
99.4
99.7
100.0
100.0
100.0
100.1
June
100.0
99.2
99.7
100.0
99.7
100.0
99.1
July
100.0
99.7
99.9
100.0
99.7
100.0
93.7
Aug.
100.0
100. 1
99.2
100.0
99.1
100.0
98.3
Sept.
100.0
101.4
100.2
100.0
100.0
100.0
100.0
Oct.
100.0
101. 1
100.0
100.0
100.0
100.0
100.2
Nov.
100.0
100.4
100.1
100.0
99.6
100.0
100.3
Dec.
100.0
100.3
100.8
100.0
99.0
100.0
100.3
1981
Jan.
100.0
100.3
100.5
100.0
101.2
100.0
100.9
Feb.
100.0
99.7
100.1
100.0
100.9
100.0
101.1
liar.
100.0
99.3
100.0
100.0
100.5
100.0
100.5
1 See footnote 1, table 9.2 See footnote 2. table 0. See footnote 2, table 8.
Table 13. Seasonal adjustment factors1 for laborturnover rates in manufacturing
Item
Total accessions 2
New hiresOther accessions and recalls.
Total separations 2Quits -LayoffsOther separations
Apr.
98.5107.7
97.280.294.9
May
116.9106.2
103.771.1
105.8
June
130.699.9
101.176.097.9
July
110.3113.4
105.3120.8104.7
1980
Aug. Sept.
130.0 126.2117.3 102.6
163.8 144.091.0 93.2
120.6 108.9
Oct.
105.680.6
107.1107.1110.3
Nov.
74.575.3
76.1112.387.3
Dec.
53.673.0
59.6142.880.5
1981
Jan.
83.2119.2
82.0125.1105.2
Feb.
77.895.2
73.487.489.3
Mar.
91.8109.7
87.286.194.4
Factors include the effects of trading day variations.2 Seasonally adjusted data derived by summation of components.
24
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 27: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/27.jpg)
New Seasonal AdjustmentFactors for Household DataSeries
As announced in the January 1980 issue of Employ-ment and Earnings, the Bureau of Labor Statistics hasthis year inititated a 6-month updating cycle for sea-sonal adjustment factors for the labor force series de-rived from the Current Population Survey (CPS).1 Inaddition to making that announcement and discussingcomputational procedures and the new X-ll ARIMAmethodology, the January 1980 issue also published theseasonal factors which were to be (and since have been)used during the first 6 months of 1980 for the adjust-ment of the 12 component series used in the computa-tion of the seasonally adjusted overall unemploymentrate. The primary purpose of this brief article is topublish the seasonal factors to be used during the last 6months of 1980 for those 12 components, displayed intable 1 below. These factors, as well as those for allother independently seasonally adjusted labor forceseries, have been extrapolated by applying the X-llARIMA program to data through June 1980 for each of
the series. The historical seasonally adjusted data, in-cluding the first 6 months of 1980, will not be subject torevision until the beginning of 1981.
Data for any of the several hundred seasonally ad-justed labor force series, plus the July-December 1980factors for any of the 210 other independently adjustedseries (in addition to the 12 components displayed here),may be obtained from the BLS upon request. Inquiriesshould be addressed to the Division of Employment andUnemployment Analysis, Office of Current Employ-ment Analysis, Bureau of Labor Statistics, Washington,D.C. 20212. Other inquiries concerning seasonal adjust-ment methodology or the availability of machine-readable files of labor force data should be addressed tothe Data Services Group, Office of Current Employ-ment Analysis, Bureau of Labor Statistics, Washington,D.C. 20212.
1 See "Revision of Seasonally Adjusted Labor Force Series" on pages 9-13of the Jan. 1980 issue.
Table 1 . Current seasonal adjustment factors for the 12 major labor force components, July-December 1980
Procedure and series July August September October November December
Multiplicative Adjustment(Divide factor into original value)
Agricultural employment:Males, 20 years and over . .Females, 20 years and overMales, 16-19 yearsFemales, 16-19 years
Nonagricultural employment:Males, 20 years and over . .Females, 20 years and over
Unemployment:Males, 20 years and overFemales, 20 years and over
Additive Adjustment(Subtract factor from original value)
Nonagricultural employment:Males, 16-19 yearsFemales, 16-19 years
Unemployment:Males, 16-19 yearsFemales, 16-19 years
1.0801.2731.5662.041
1.0080.972
0.9611.007
676
175155
1.0741.1881.4861.811
1.0070.974
0.9391.078
764515
-3243
1.0531.0901.0400.963
1.0041.003
0.8581.078
-225-228
-6541
1.0441.1460.9930.890
1.0061.014
0.8801.003
-159-78
-85- 2 0
0.9900.9750.8020.664
1.0031.016
0.9120.982
-191-24
-30-50
0.9530.8050.6930.566
1.0011.019
0.9840.929
-16858
-37-97
25
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 28: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/28.jpg)
CHARTS
Page
1. Labor fo rce and e m p l o y m e n t , 1961-80 26
2. Ma jo r u n e m p l o y m e n t indicators, 1961-80 27
3. Civil ian labor fo rce part ic ipat ion rates by sex and age, 1961-80 27
4. Tota l e m p l o y m e n t by sex and age, 1961-80 28
5. Employment -popu la t ion ratios by sex and age, 1961-80 29
6. Payrol l e m p l o y m e n t in goods-and serv ice-producing industr ies, 1961-80 29
7. Nonagr icul tural payrol l e m p l o y m e n t by industry. 1961-80 30
8. Persons a t w o r k fu l l and part t ime in nonagricul tural industr ies, 1961-80 31
9. Emp loymen t in non fa rm occupat ions, 1961-80 32
10. U n e m p l o y m e n t rates by sex and age, 1961-80 33
11. U n e m p l o y m e n t rates by race, 1961-80 33
12. U n e m p l o y m e n t rates by major occupat ional g roups, 1961-80 34
13. Durat ion of u n e m p l o y m e n t 1961-80 35
14. Average w e e k l y hours in nonagricul tural industr ies, 1961-80 36
15. Average w e e k l y earnings in nonagricul tural industr ies, 1961-80 36
16. Tota l pr ivate gross and spendable w e e k l y earn ings, 1961-80 37
17. Labor turnover rates in manufac tu r ing , 1961-80 37
THOUSANDSi mnftftl iuuou
105000
100000
95000
90000
85000
80000
75000
70000
65000
60000
Chart 7. Labor force and employment(Seasonally adjusted)
A A v
"AAV
...-/*"
c
/^
ivifen
/ ^
laboi
s
fora
yy
y
>
T<
r'italei
/
ysTtpk>Yrmeni
y
.""
S
Total
yr"y
labor
Jonaf
force
iricuK
y
jrale
y
'/
mplo
/
^ment
19611962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1873 1974 1975 1976 1977 1978 1979 I960SOURCE: Table A-33.
THOUSANDSi inrwi
105000
100000
95000
90000
85000
80000
75000
70000
65000
60000
26
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 29: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/29.jpg)
PERCENT10.0
9.0
8.0
Chart 2. Major unemployment indicators(Seasonally adjust*!)
0.0
Inemployment rate. Job tears
SsV"
U0U962 1983 1984 1965 1986 1987 1998 1969 1970 1971 1972 1973 1974 1975 1978 1977 1978 1979 1980
SOURCE: Tablet A-3S, A-38, and A-39.
PCTCEMT10.0
9.0
8.0
7.0
6.0
5.0
4.0
3.0
2.0
1.0
0.0
Chart 3. Civilian labor force participation rates by sex and agePERCENT
90.0
80.0
70.0
60.0
50.0
40.0
30.0
(Seasonally adjusted)
Makm.TOymnt
I I I I I I I I I I I I I I 1 I I I I I I I I I I I I I I I I
90.0
80.0
70.0
60.0
50.0
40.0
19611982 1983 1984 1995 1966 1967 1968 1989 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1880SOURCE: TaWtA-93.
' 30 .0
27
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 30: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/30.jpg)
THOUSANDS
60000
57500
5500Q
52500
50000
47500
45000
42500
40000
37500
35000
32500
3000Q
27500
25000
22500
20000
17500
15000
12500
10000
7500
5000
2500
Chart 4. Total employment by sex and age(Seasonally adjusted)
THOUSANDS
19611962 1963
/ -
1964
y
1965
y
/
f*"
—̂-̂
=ema
viam
/
tes,2
1,20'
-A*.z
Oyea
/ears
is an
. ****** 'U~"*-****' Both sexes. 16-1
and
dov«
Jyei
/
/
over
/
r
rs
//
s,
47500
17500
15000
10000
7500
5000
1966 1967 1966 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1960
SOURCE: Table A-33.
28
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 31: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/31.jpg)
PERCENT85.0
80.0
75.0
70.0
65.0
60.0
55.0
50.0
45.0
40.0
35.0
30.0
Chart 5. Employment--population ratios by sex and age(Seasonally adjusted)
—
B
1961
Oth 84
1962
ixes.
1963
. . . .
16-19
1964
years
/
1965 1966 1967 1968
Ton
/ .
Feme
1969
il,aN%
tee, 2
1970
voria
years
1971
re\
ando
1972
is
J1973
M
^ %
1974
ales,:
W-
1975
90 y«
. ^ .
r ^
1976
irear
r
1977
S
dove
V
1978
OURC
1979
E: Tabl
\
N
<\
I960
a A-33.
PERCENT85.0
80.0
75.0
70.0
65.0
60.0
55.0
50.0
45.0
40.0
35.0
30.0
Chart 6. Payroll employment in goods-and service-producing industries(Seasonalhf adiustedi
RATIO SCALE- RATIO SCALE-THOUSANDS THOUSANDS
90000
80000
70000
60000
50000
40000
30000
20000
l
To alno
^ —
wgr*
- —
tutor
1
'pay
Soodi
VYl l A lnploy
Jdng
*^'
Indus)
Servk
- -
- * —
36-pft
i '
ducinSkxh striae ^^••^ *****
— -
,—
—
19611962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1873 1974 1975 1976 1977 1978 1979 1960
yiOTE: Data for two most recent months are preliminary. SOURCE: Table B-4.
90000
80000
70000
60000
50000
40000
30000
20000
2 9
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 32: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/32.jpg)
Chart 7. Nonagricultural payroll employment by industry(Seasonally adjusted)
RATIO SCALE-THOUSANDS
25000
21000
17000
13000
9000
RATIO SCALE-THOUSANDS
5000
RATIO SCALE-THOUSANDS
5500
13000
i and local QOMonvnint9000
19611962 1963 1964 1965 1966 1967 1966 1969 1970 1971 1972 1973 1174 1975 1976 1977 1976 1979 19805000
RATIO SCALE-THOUSANDS
2000 L i
I 1 J ..!. I. 1. I 5000Transportation and pubic utltiat.
2500
19611962 1963 1964 1966 1966 1967 1996 1969 1970 1971 1973 1879 1974 1975 1976 1977 1978 1979 1960
RATIO S C A L E -THOUSANDS
1100
1000
900
800
700
600 "T ' "1
/
2000
RATIO SCALE-THOUSANDS
1100
19611962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1873 1974 1975 1976 1977 1976 1979 1960
NOTE: Data for two most recant months are preliminary. SOURCE: Table B 4.
1000
900
800
700
600
500
3 0
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 33: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/33.jpg)
Chart 8. Persons at work full and part time in nonagricultural industries(SeasonallyKadjusted)
THOUSANDS75500
73000
70500
f&OOO
Full-time schedules THOUSANDS
63000
60500
58000
55500
53000
50500
48000
THOUSANDS15000
12500
10000
7500
5000
2500
r *A -
1 w
//f
V\70500
65500
60500
58000
55500
cttv\n53000
50500
4800019611962 1963 1964 19P5 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980
Part-time schedules
/v
Wo
r
V
rkers
VJ
/orfca
W-.J
on v
(***.
rs on
olunt
/ "
part
irypi
time orecononlie re
1
asom
A
THOUSANDS15000
12500
10000
7500
5000
2500
19611962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980
SOURCE: Table A-42.
31
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 34: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/34.jpg)
RATIO SCALE-THOUSANDS
20000
16000
12000
6000
Chart 9. Employment in nonfarm occupations(Seasonally adjusted)
White-collar workers
4000
RATIO SCALE-THOUSANDS
15000
12000
9000
6000
Clerical workers
Professional and technical workers
Managers and administrators,except farm
i workers
RATIO SCALE-THOUSANDS
20000
8000
1000
19611962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 I960
Blue-collar workers RATIO SCALE-THOUSANDS
3000
RATIO SCALE-THOUSANDS
14000
13000
12000
11000
10000
9000
8000
Craft and kindred \ V - w
Operatives, except transport'
12000
9000
6000
19611962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980
Service workers
\ /
1 1 1 1 1 1 • 1 1
J
i i i
s /
i i i i i i 111 111 • 11 111
*****A*
• 11 1 f 1
i \ r
• 11 i i i i i i M M19611962 1963 1964 1965 1986 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1979 1979 1980
3000
RATIO SCALE-THOUSANDS14000
13000
12000
11000
10000
9000
8000
7000
NOTE: Two breaks in series occurred in 1971 stemming from the ^classification of occupationsintroduced in January and from a questionnaire change concerning "major activity" introduced inDecember. See "Changes in occupational classification system" in the Explanatory Notes. SOURCE: Table A-42.
3 2
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 35: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/35.jpg)
PERCENT22.5
20.0
15.0
12.5
10.0
7.5
5.0
2.5
0.0
Both sexes, 16-19 years^
Chart 10. Unemployment rates by sex and age(Seasonally adjusted)
\LA\A~Females, 20 years and over
4-- - 4 - -
^^IWIAIAS 20 years and overI ! !
t . , ! . . . » . . . I , .
^
PERCENT22.5
20.0
17.5
15.0
12.5
10.0
7.5
5.0
2.5
19611962 1963 1964 1965 1966 1967 1966 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1960SOURCE: Table A 36.
0.0
Chart 11. Unemployment rates by race(Seasonally adjusted)
PERCENT20.0
15.0
10.0
5.0
0.0
RATIO3.00
2.50
2.00
1.50
V
—
Black anc
White
1 other.
—
/
r
19611962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980
Ratio of black to white unemployment rate
PERCENT20.0
15.0
10.0
5.0
0.0
RATIO3.00
2.50
2.00
19611962 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980
SOURCE: Table A-35.
33
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 36: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/36.jpg)
Chart 12. Unemployment rates by major occupational groups
(Seasonally adjusted)
PERCENT10.0
7.5
5.0
2.5
0.0
PERCENT20.0
17.5
15.0
White-collar workers
Professional and technical workers
i and administratorsexcept farm
, I , , , 1 , . , I , , . 1 , , , I , • , I , ,
19611962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 I960
0.0
PERCENT10.0
7.5
5.0
2.5
0.0
LU
Blue-collar workers
LJJ
Transport equipment operatives
Craft and kindred workers
LLJ L-LJ
19611962 1963 1964 196S 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 I960
V-A
w\
\\
*\\
Se/v/ce andfa
h+4-JService workers
^ \
/
I
Ik
ii i
rm \
Farm
wort
vsA
\^WCM*
rers
'VVA
• »,ers
y/r
VJS i
^ »*,r
A
PERCENT10.0
7.5
5.0
2.5
0.0
PERCENT20.0
17.5
15.0
12.5
10.0
7.5
5.0
2.5
0.0
PERCENT10.0
7.5
5.0
2.5
19611962 1963 1964 1965 1966 1967 1966 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 I960
SOURCE: Table A-36.
0.0
34
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 37: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/37.jpg)
RATIO SCALE-THOUSANDS
10200
Chart 13. Duration of unemployment
(Seasonally adjusted)
Number of workers unemployedRATIO SCALE-THOUSANDS
19611962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980
Percent of civilian labor forcePERCENT
10.0
7.5
5.0
2.5
0.0
WEEKS20.0
17.5
15.0
12.5
10.0
7.5
is
Total unemployed
Stott ,s
Lees than 5 weeks
15 weeks and over
. I . . . I . . . I . . . I .19611962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 I960
Average duration of unemployment
5.0 LU*
r\
200
PERCENT10.0
7.5
5.0
2.5
0.0
WEEKS20.0
17.5
15.0
12.5
10.0
7.5
19611962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980
SOURCE: Table A-37.
5.0
35
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 38: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/38.jpg)
Chart 14. Average weekly hours in nonagricultural industries(Seasonally adjusted)
HOURS43.0
40.0
37.0
34.0
HOURS5.0
2.5
—
rtalp bate estacJfehmmsnm
•V s \
ents
Mi
— V|T
mufec lurini
- ' •
i i i 1 1 1
r
i f i
\
196U962 1963 1964 1985 1966 1967 1966 1969 1970 1971 1972 1973 1974 1975 1976 1977 1976 1979 1960
Overtime hours in manufacturing
0.0
> r
HOURS43.0
40.0
37.0
34.0
HOURS5.0
2.5
19611962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1976 1979 19600.0
' Annual averages prior to 1964.
NOTE: Data for two most recent months are preliminary. SOURCE: Table C-7.
Chart 15. Average weekly earnings in nonagricultural industries(Seasonally adjusted)
DOLLARS300.00
275.00
250.00
225.00
200.00
175.00
150.00
125.00
100.00
75.00
111 1 1 \
—
Mf nufec turint
>
/
/
/
/
I
DOLLARS
275.00
250.00
225.00
200.00
175.00
150.00
125.00
100.00
75.00
19611962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 I9601 Annual averages prior to 1964.NOTE: Data for two most recent months are preliminary. SOURCE: Tables C-7 and C-9.
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 39: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/39.jpg)
DOLLARS250,00
225.00
200.00
175.00
150.00
125.00
100.00
Chart 16. Total private gross and spendable weekly earnings(Seasonally adjusted)
75.00
Gross earnings in current dollars
Spendable earnings in 1967 dollars1"
• I . . . I . . . I . . . 1 . . . I . . T T .
y ./T
DOLLARS250.00
225.00
200.00
175.00
150.00
125.00
100.00
75.00
19611962 1963 1964 1965 1966 1967 1966 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 19801 Married worker with three dependents.
NOTE: Data prior to 1964 are annual averages. Data for current month are preliminary. SOURCE: Table C-9.
Chart 17. Labor turnover rates in manufacturing(Seasonally adjusted)
PER 100EMPLOYEES7.5
5.0
2.5
UJJO.O19611962 1963 1964 1965 1966 1967 1968 1989 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 I960
PER 100EMPLOYEES
4.0
3.0
2.0
1.0
0.0
H It*
\ *
_ / *
1 1
hiHa
Uyo
•A
fa/"•V
"Sw
fc/T
f111
1
1
ji
19611962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980
4.0
3.0
2.0
1.0
0.0
NOTE: Data for current month are preliminary. SOURCE: Table D-3.
37
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 40: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/40.jpg)
HOUSEHOLD DATAHISTORICAL
A-1. Employment status of the nonlnstltutlonsl population 16 years and over, 1947 to date
(Numbtrs in thousands)
YearTotal
Total tabor fort*
Total
Total
Not in
1947.1948.1949.1960.1961.19S2.19631
1964.19)6.1966.1967.1968.1969.1980'1961.1982.1963.1964.1965.1968.1987.1968.1989.1970.1971.1972*1973*1974.1976.1976.1977.19781
1979.
1979s
June..«Ju ly . . .August,SepteoberOctober..November.December.
1980:
January.•Pebruary.March....A p r i l . . . .Ray., . ,June. . .
103,418104,527105,611106,645107,721108,823110,601111,671112,732113,811115,065116,363117,881119,759121,343122,981125,154127,224129,236131,180133,319135,562137,841140,182142,596145,775148,263150.827153,44 9156,048158,559161,058163,620
163,469163,685163,891164,106164,468164,682164,898
165,101165,298165,506165,693165,886166,105
60,9416 2,08062,90363,85865,11765,73066,56066, 99368,07269,40969,72970,27570,92172,14273,03173,44274,57175,83077, 17878,89380,79382,27284,24085,90386,92988,99191,04093,24094,79396,91799,534
102,537104,996
58.959.459.659.960.460. 460.260.060. 461.060.660. 460.260. 260. 259.759.659. 659.760.160.660.761. 161. 361.061. 061.461.661.ft62. 162. 863.764. 2
59,35060,62161,28662,20862,01762,13863,01563,64365,02366,55266,92967,63968,36969,62870,45970,61471,83371,09174,45575,77077,34778,73780,73482,71584,11386,54288,71491,01192,61394,77397,401
100,420102,908
57,03858,34357,65158,9 1859,96160,25061,17960,10962,17063,79964,07163,03664,63065,7786*,74666,70267,76269,30571,08872,89574,37275,92077,90278,62779,12081,70284,40985,93584,78387,48590,54694,37396,945
7,8907,6297,6587,1606,7266,5006,2606,2056,4506,2835,9475,5865,5655,4585,2004,9444,6874,5234,3613,9793,8443,8173,6063,4623,3873,4723,4523,4923,3803,2973,2443,3423,297
49,14850,71449,99351,75853,21553,74954,91953,90455,72257,51458,12357,45059,06560,31860,54661,75963,07664,78266,72668,91570,52772,10374,29675,16575,73278,23080,95782,443-81,40384,18887,30291,03193,648
2,3112,2763,6373,2882, 0551,8831,8343,5322,8522,7502,8594,6023,7403,8524,7143,9114,0703,7863,3662,8752,9752,817" 832
,088993840
.,3045,0767, 8307,2886,8556,0475,963
% adjust*
104,552105,175105,218105,586105,688105,744106,088
106,310106,346106,184106,511107,230106,634
64.064.364.264.364.364.264. 3
64.464.364.264.364.664.2
102,476103,093103,128103, 494103,595103,652103,999
104,229104,260104,094104,419105,142104,542
96,65297,18497,00497,50497,47497,6 0897,912
97,80497,95397,65697,15496,98896,537
3,2433,2673,1153,3643,2943,3853,359
3,2703,3263,3583,2423,3793,191
93,40993,91793,68994,14094,18094,22394,553
94,53494,62694,29893,91293,60993,346
5,8245,9096, 1245,9906,1216,0446,087
6,4256,3076,4387,2658,1548,006
3,93.85.95.33.33.02.95.54.44.14.36.85.55.56.75.55.75.24.53.83.83.63.54.95.95.64.95.68.57.77.06.05.8
5.75.75.95.85.95.85.9
6.26.06.27.07.87.7
42,47742,44742,70 842,78742,60443,09344,04144,67844,66044,40245,33646,08846,96047,61748,31249,53950,58351,39452,05852,28852,52753,29153,60254,28055,66656,78557,22257,58758,65559,13059,02558,52158,623
58,91758,51158,67358,51958,78058,93758,810
58,79158,95159,32259,18258,65759,471
table with prior years. For an explanation, see "Hist Ity" under 1 Because seesonality, by definition, does not exist in population figures,stitutional population" ere not seasonally adjusted.
OsWsl fOC «0M6I flQftift*
3 8
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 41: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/41.jpg)
HOUSEHOLD DATAHISTORICAL
A-2. Employment status ol the nonlnstitutlonal population 16 years and over by sex, 1972 to date(Numbers In thousands)
Sex.
year.
andmonth
MALES
19721
19731
197419751976197719781
1979
1979:
J u n e . . - . .JulyAugust. . .SeptemberOctober..November.December.
1980:
January..February.M a r c h . . . .A p r i l . . . .Bay
FEMALES
19721
19731
197419761976197719781
1979
1 9 7 9 :
J u n e . . . . .JulyAugust.••SeptemberOctober..Hovembcr.December.
1980:
January.•February.M a r c h . . . .A p r i l . . . .BayJune.. . . .
Totalnonlmti-tuttomlpopula-
tion
Total labor force
Number offpopula-
tion
Civilian labor force
Total
Employed
Total Agri-culture
Nonagri*culturalindus-trial
Unemployed
Number
reiownlof
laborforce
Not inlaborforce
Annual averages
69,86471,02 072,25373,49474,73975,98177, 16978,397
55,67156,47957,34957,70658,39759,46760,53561,466
79.779.579.478.578. 178.378.478. 4
53,26554,20355,18655,61556,35957,44958,54259,517
50,63051,96352,51851,23052,39153,86155,49156,499
2,8392,8332,9002,801
• 2,7162,6392,6812,645
47,79149,13049,61848,42949,67551,22252,81053,854
2,6352,2402,6684,3853,9683,5883,0513,018
4.94.14.87.97.06.25.25. 1
14,19314,54114,90415,78816,34116,51416,63416,931
Monthly data, lawonaHv adjusted8
78,32378,42778,52578,62778,80578,90679,009
79,10479,19679,29579,38279,47279,575
61,31161,54061,43761,75961,67561,65261,762
61,81061,95161,97661,97262,41062,062
78.378.578.2 #78.578.378. 178.2
78. 178.278.278.178.578.0
59,37059,59759,49159,81259,72759,70459,823
59,87860,01460,04260,03760,47960,127
56,47756,57056,40856,71456,62956,58056,734
56,48656,73256,60155,99855,82355,457
2,6002,6142,6502,6772,6662,7162,714
2,6652,7022,7062,60 22,6712,572
53, 87753,95653,75854,03753,96353,86454,020
53,82154,02953,89553,39653,15252,886
2,8933,0273,0833,0983,0983,1243,089
3,3923,2833,4414,0404,6564,669
4.95.15.25.25.25.25.2
5.75.55.76.77.77.8
Annuel averages
75,91177,24278,57579,95481,30982,57783,89085,223
33,32034,56135,89237,08738,52040,06742,00243,531
43.944.745.746.447.448.550. 151. 1
33,27734,51035,82536,99838,41439,95241,87843,391
U
85,14585,25985,36685,47985,66385,77585,889
85,99786,10286,21186,31186,41486,530
43,24143,63543,78243,82744,01344,09344,326
44,50144,39644,20944,53844,61944,573
50.851.251.351.351.451.451.6
51.751.651*351.651.951.5
43,10643,49643,63743,68243,86843,94844,176
44,352
44^05244,38144,66344,416
31,07232,44633,41733,55335,09536,68538,88240,446
633619592579582605661652
40,17540,61440,5964 0,79040,84 541,02841,178
41,31841,22141,05441,15641,16541,079
6436536656876 28669645
605624651640708619
30,43931,82732,82532,97334,51336,08038,22139,794
2,2052,0642,4083,4453,3203,2672,9962,945
6.66.06.79.38.68.27.26.8
17,01216,88717,08816,86717,13017,25517,247
17,29517,24517,31917,41017,06217,514
42,59142,68142,68342,86842,78942,51041,88741,692
39,53239,96139,93140, 10340,21740,35940,533
40,71340,59740,40340,51640,457•0,460
2,9312,8823,0412,8923,0232,9202,998
3,0343,0252,9973,2253,4983,337
6.86.67.06.66.96.66.8
6.86.86.87.37.87.5
41,90541,62441,58541,65241,65141,68341,563
41,49541,70642,00241,77341,59541,957
1 Not strictly comparable whh prior year*. For anHounhotd Data lection of Explanatory Note*.
rability" under nattty.•HtuHonal population" a
i not exist in population figure*, data for "total nonkt-
• * 39
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 42: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/42.jpg)
HOUSEHOLD DATA
A-3. Employment status of the noninstitutional population by sex, age, and race[Numbers in thousands]
Sex, age, and r«ct
June 1980
Total labor foroa
Parent
Civilian labor forca
Total
oflabor
Not in labor foroa
Goingto
Otbar
MALES
16 years and over16 to 21 years16 to 19 years
16 to 17 years18 to 19 years
20 to 64 years20 to 24 years25 to 54 years
25 to 29 years30 to 34 years35 to 39 years40 to 44 years45 to 49 years50 to 54 years
55 to 64 years55 to 59 years60 to 64 years
65 years and over65 to 69 years70 years and over
16 years and over16 to 21 years16 to 19 years
16 to 17 years18 to 19 years
20 to 64 years20 to 24 years25 to 54 years
25 to 34 years35 to 44 years45 to 54 years
55 to 64 years55 to 59 years60 to 64 years
65 years and over
Black and other
16 years and over16 to 21 years16 to 19 years
16 to 17 years18 to 19 years
20 to 64 years20 to 24 years25 to 54 years
25 to 34 years35 to 44 years45 to 54 years
55 to 64 years55 to 59 years60 to 64 years
65 years and over
63,3759,9486,1472,5923,555
55,3579,376
3R,7898,fi008,1256,5145,3454,9955,010
7,1924,4002,791
1,8711,107
764
56,2798,7005,4062,2903,115
49,1838,142
34,45714,90910,5848,965
6,5834,0252,5591,691
7,0951,248
741301440
6,1741,2344,3312,0151,2751,040
608376233180
79.678,573.362.983.3
90.290.594.494.896.295.894.893.489.5
72.681.961.6
19.029.012.7
80.581.176.466.386.0
91.091.695.296.196.292.5
73.683.162.419.1
73.764.456.745.668.1
84.283.688.591.588.883.1
63.37C.854.118.3
61,4409,3065,87C2,5753,295
53,6998,646
37,8638,4387,8726,3255,2594,9665,003
7,1914,3992,791
1,8711,107
764
54,7808,2215,1992,2772,922
47,8907,597
33,71214,42510,3548,93 3
6,5824,0232#5591,691
6,6601,086
671299373
5,8091,0494,1501,8851,2301,036
60 8376233180
56,8037,5364,6501,9762,674
50,3427,506
35,8877,7057,4486,0495,0584,7974,829
6,9494,2602,689
1,8111,062
75 0
51 , 1116,8354,2351,7942,441
45,2246,698
32,14513,5189,9673,660
6,3803,9122,4681,652
5,692701414182233
5,118808
3,7421,6351,140
966
569348220160
4,6371,7701,220
600621
3,3571,1401,975
7324 24275202169174
242139103
604614
3,6691,386
963483481
2,667898
1,567907387273
2021119039
968384257117
140
6902414092499070
40281221
7.519.020.823.318.8
6.313.2
5.28.75.44.43.83.43.5
3.4
3.2
3-7
3.24.11.9
6.716.918.521.216.5
5.611.84.66.33.73.1
3.12.83.52.3
14.535.438.339.237.6
11.923.09.9
13.27.36.7
6.67.35.3
11.4
16,2012,7222,2381,526
713
6,010985
2,315479317286291353588
2,711972
1,739
7,9522,7115,241
13,6732,0311,6731,166
507
4,855743
1,7546 08417729
2,358817
1,5427,145
2,527691565360205
1,156242561188161212
352155197806
36624231211
17011
101121525
61726
582434
17345
128
2981615
87
1175
63232120
482028
166
688844
536
374
1 1
23
10557
1,9221,4381, 198
847351
7204792301313630136
14
1183
3
1
2
1,3971,010
834600234
560377176131
3312
7433
524428365248117
160102543610
8
44
1,539
945
1,15131
61158598093
110211
509275234
379116263
1,24616945
93321
48397
131255
4 292301993 04
2932
21710
127204265
80463576
12,3741,2421,008
662346
3,969464
1,373278207151179220338
2,132664
1,468
7,3972,5484,84 9
10,731990815554261
3,24 4340
1,030356232442
1,874564
1,3116,672
1,64225219310885
72412434312998
116
258100157725
4 0
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 43: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/43.jpg)
HOUSEHOLD DATA
A-3. Employment status of the noninstitutional population by sex, age, and race—Continued
[Numbers in thousands)
Sax. age, and race
June 1980
Total labor forca
ofpopulation
Civilian labor forca Not in labor fores
TotalKeeping Other
FEMALES
16 years and over16 to 21 years16 to 19 years
16 to 17 years18 to 19 years
20 to 64 years20 to 24 years25 to 54 years
25 to 29 years30 to 34 years35 to 39 years40 to 44 years45 to 49 years50 to 54 years
55 to 64 years55 to 59 years60 to 64 years
65 years and over65 to 69 years70 years and over
White
16 years and over16 to 21 years16 to 19 years
16 to 17 years18 to 19 years
20 to 64 years20 to 24 years25 to 54 years
25 to 34 years35 to 44 years45 to 54 years
55 to 64 years55 to 59 years60 to 64 years
65 years and over
Black and other
16 years and over16 to 21 years16 to 19 yews
16 to 17 years18 to 19 years
20 to 64 years20 to 24 years25 to 54 years
25 to 34 years35 to 44 years45to 54 years
55 to 64 years66to59yaars60 to 64 years
66 years and over
44,7847,9374,9672,0762,891
38,6917,281
26,8966,1335,3994,5643,9293,4583,412
4,5142,7781,735
1,126717410
38,6776,9584,3851,8402,545
33,2946,288
23,0009,7527,2795,968
4,0052,4581,547
998
6, 107979582236346
5,397993
3,8961,7801,214
902
508320188128
51.864.060.652.168.7
40.847.033.6
8.015.04.4
51.466.863.955.371.8
59.872.062.263.064.258.7
40.446.533.37.9
54.049.444.035.952.0
62.461.566. 167.567.961.3
44.55 1 . A36.3
9.7
44,6277,8754,93 92,0752,864
6 0 . 2
70.46 2 .6 4 .6 2 .6 3 .6 5 .6 1 .
793963
56.9
38,5627,205
26,8436,0965,3894,5613,9273,45 63,412
4,5142,7781,735
1,126717
410
38,5606,9124,3651,8392,526
33,1976,232
22,9609,7177,2765,96e
4,0052,45 81,547
99 8
6,06796357423 633 8
5,36597 3
3,8831,76 81,213
902
508320188128
40,9736,4373,8871,5622,325
35,9876,360
25,2375,5875,0504,3163,7333,2943,257
4,3892,6971,692
1,100699401
35,8095,8573,5791,4472,132
31,250
5,633
21,711
9,084
6,921
5,705
3,90 5
2,394
1,511
981
5,164580308115193
4,737727
3,5251,5521,128
846
484303181119
3,6541,4381,053
513539
1248143
2617
8
2,7511,056
787393394
1,948599
1,249632354262
100643616
902383266121145
6 28246356216
8556
241879
8.218.321.324.718.8
2.82.92.5
2.32.42. 1
7. 115.318.021.315.6
5.99.65.46.54.94.4
2.52.62.31.6
14.939.846.351.242.9
11.725.3
9.212.27.06.2
4.85.53.67.3
41,7464,4643,2231,9051,318
2,575845
1,606509339245194163155
6 . 7
11.76 . 08 . 46 . 35 .45 . 04 . 74 . 5
25,6163,068
15,9943,3233,2 622,5822,0562,1812,589
6,5543,1303,424
12,9074,0478,860
36,5523,4602,4821,484
998
22,3622,446
13,9955,7304,0644,201
5,9212,8283,093
11,707
5,1941,005
741420320
3,254622
1,998855574569
634303331
1,200
32,3561,502
788273514
21,8392,155
14,2042,8912,9302,3181,8641,9362,266
5,4812,7012,780
9,7293,2736,456
28,9361,213
63 6221415
19,3581,778
12,5755,1443,6853,745
5,0052,4682,5378,941
3,420
2 89
151
52
99
2,481
376
1,629
677
496
457
476
233
242
788
2, 100
1,599
1, 298
864
433
796
478
312
134
66
45
19
35
12
7
4
3
6
3
3
1,492
1, 148
924
627
297
562
339
217
133
52
32
6
3
3
6
608
451
374
237
136
234
139
95
68
12
15
1
1
1,052
17
7
2
6
484
23
239
19
21
29
31
54
86
222
108
114
561
112
448
798
14
6
2
5
358
18
173
31
43
99
167
84
83
433
25431
126
4
66
9
16
41
55
24
31
128
6,238
1,346
1,130
765
365
2,496
413
1,237
279
245
191
142
156
224
845
318
527
2,612
659
1,953
5,327
1,084
916
634
282
2,084
311
1,030422283324
743
273
470
2,327
912
262
215
131
83
412
103
208
101
50
56
102
45
57
285
41
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 44: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/44.jpg)
HOUSEHOLD DATA
A-4. Labor force by sex, age, and race
Total labor forot
Thousands of parsons
June1979
June1980
June1979
June1980
Civilian labor forot
Thousands of persons
June1979
June1980
June1979
June1980
MALES
16 years and over16 to 19 years
16 to 17 years18 to 19 years
20 to 24 years25 to 54 years
25 to 34 years35 to 44 years45 to 54 years
55 to 64 years55 to 59 years60 to 64 years
65 years and over
White
16 years and over16 to 19 years
16 to 17 years18 to 19 years
20 to 24 years25 to 54 years
25 to 34 years35 to 44 years45 to 54 years
55 to 64 years55 to 59 years60 to 64 years
65 years and over
Black and other
16 years and over16 to 19 years
16 to 17 years18 to 19 years
20 to 24 years25 to 54 years
25 to 34 years35 to 44 years45 to 54 years
55 to 64 years55 to 59 years60 to 64 years
65 years and over
62,7526,2302,6433,587
9,37838,09916,40811,58510,106
7,0934,3962,6971,951
55,7285,4962,3723,124
8, 15133,86614,50510,3269,034
6,4633,9912,4721,752
7,024734271463
1,2274,2341,9031,2591,072
63040 4226199
63,3756,1472,5923,555
9,37638,78916,92411,85910,006
7,1924,400?#7911,871
56,2795,4062,2903,115
8,14234,4 5714,90910,5848,9 65
6,5834,0252,5 591,691
7,095741301440
1,2 344,3312,0151,2 751,0 40
6C8376233180
80 .173.963.484.1
91.594.695.895.791.6
72.682.061.120.3
80.876.967.586.1
92.595.396.596.492-3
73.182.661.720.3
75. 156.941.273.1
85.389.690.990.586.4
67.276.455.220.8
79.673.362.983.3
90.594.495.595.491.4
72.681.961.619.0
80.576.466.386.0
91.695.296.196.292.5
73.683.162.419.1
73.756.745.668.1
83.688.591.588.883.1
63.370.854.118.3
60,8115,9502,6313,320
8,63637,18115,80211,30910,070
7,0924,3952,6971,951
54,1885,2802,3622,918
7,58033,11414,01710,0949,002
6,4623,9902,4721,752
6,623671269401
1,0564,0681,7851,2151,068
630404226199
61,4405,8702,5753,295
8,64637,86316,30911,5849,969
7,1914,3992,7911,871
54,7805,1992,2772,922
7,59733,71214,42510,3548,933
6,5824,0232,5591,691
6,660671299373
1,0494,1501,8851,2301,036
608376233180
79.673,063.383.1
90.894.595.695.691.6
72.582.061.120.3
80.476.267.485.2
91.995.296.396.492.3
73.182.661.720.3
74.054.641.070.1
83.389.290.390.286.4
67.276.455.220.8
79.172.462.882.2
89.894.295.395.391.4
72.681.961.619.0
80.075.766.185.2
91.195. 196.096.192.5
73.683.162.419.1
72.554.345.364.5
81.288. 190.988.483.0
63.370.fl54.118.3
42
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 45: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/45.jpg)
HOUSEHOLD DATA
A-4. Labor force by sex. age, and race—Continued
Total li
Thousands of persons
June1979
June1980
Participation ratat
June1979
June1980
June1979
June1980
June1979
June1980
FEMALES
16 years and over16to19years
16 to 17 years18 to 19 years
20to24years26 to 54 years
25 to 34 years35to44years46 to 54 years
55 to 64 years56 to 69 years60 to 64 years
66 years and over
White
16 years and over16 to 19 years
16 to 17 years18 to 19 years
20 to 24 years26 to 64 years
25 to 34 years36 to 44 years45 to 54 years
55 to 64 years55 to 59 years60 to 64 years
65 years and over
Black and other
16 years and over16 to 19 years
16 to 17 years18 to 19 years
20 to 24 years26 to 54 years
25 to 34 years36 to 44 years45 to 54 years
55 to 64 years55 to 59 years60 to 64 years
66 years and over
43,4775,1132,1742,940
7,24325,49310,8997,9606,635
4,4832,8291,6551,143
37,5134,5141,9222,592
6,25321,7459,1656,8105,77C
3,9972,5151,4811,004
5,964599251348
9903,7491,7331,150
866
486313173139
44,7844,9672,0762,891
7,28126,89611,5328,4936,870
4,5142,7781,7351,126
38,6774,3851,8402,545
6,28823,0009,7527,2795,968
4,0052,4581,547
998
6,1075822 36346
9933,8961,7801,214
902
508320188128
51.162.053,869.8
70.760.762.362.456.4
41.048.132.fi8.3
50.665. 156.873.0
72.259.861.161.756.0
40.747.732.68. 1
54.345.638.352.8
62.765.969.066.659.6
43.850.835-210.8
51.860.652.168.7
70.462.763.764.759.0
40.847.033.6
8.0
51.463.955.371.8
72.062.263.064.258.7
40.446.533.37.9
54.044.035.952.0
61.566.167.567.961.3
44.551,436.39.7
43,3425,0912,1732,918
7,17525,45110,8607,9566,634
4,4832,8281,6551,143
37,4084,4971#9222,575
6,20021,7119#1356,8075,769
3,9972,5151,4811,004
5,934594251343
9753,7391,7241,149
866
486313173139
*4,6274,9392,0752,864
7,20526,84311,4858,4896,869
4,5142,7781,7351,126
38,5604,3651,8392,526
6,23222,9609,7177,2765,968
4,0052,4581,547998
6,067574236338
9733,88 31,7681,213
902
508320188128
51.061-953.869.7
70.560.662.262.356.4
41.048.132.88.3
50.565.056.872.9
72.059.861.161.756.0
40.747.732.68.1
54.245.438.352.4
62.365.868.966.659.6
43.850.835.210.8
51.760.552.168.5
70. 162.763.664.759.0
40.847.033.68.0
51.363.755.371.7
71.862.162.964.258.7
40.446.533.37.9
53.943.735.951.4
61.066.067.467.961.3
44.551.436.39.7
43
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 46: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/46.jpg)
HOUSEHOLD DATA
A-5. Employment status of black workers by sex and age
[Numbers in thousands}
Sex and age
June 1980
Civilian labor forw
Agri-
ttotkt
TOTAL
16 years and over16to19years
16to17yt*rs . . .18to19yMn . . .
20to 24 years25to54yMrs
25to34yMrs . . .3Sto44yean . . .4Sto54y»tn . . .
55 to 64 ytars55to59yean . . .60to64years . . .
65 years and over . . .
Males
16 years and over .16 to 19 yean
16to 17years . .18to19years . .
20 to 24 years25 to 54 years
25to34yean . .35 to 44 yean . .45 to 54 years . .
55 to 64 years55 to 59 years . .60 to 64 years . .
65 years and over . .
Ft
16 years and over . .16to19years . .
I6to17years18 to 19 years
20 to 24 years . .25 to 54 years . .
25 to 34 yean35 to 44 years45 to 54 years
55 to 64 years...55 to 59 years60 to 64 years
65 yean and over
10r7721#090
461629
1,7446,7133,03e2,0501,623
96059 2367267
5,619588260328
8993,4701,5631,035870
515318197149
5,153502201301
8453,2431,4751,015753
445274170118
9,078606245360
1,3006,0282,6291,8881,511
906556350238
4,744352154197
6763,1041,340
95630 8
481295186129
4,334254
91163
6242,9241,289
932703
425261164109
21325187
18120405426
29141522
18122157
1791333423
29141522
3233
1297
203
8,865581228353
1,2825,9082,5891,8341,485
878543335216
4,563330140190
6593,0151,307
922786
453281171107
4,302251
88163
6232,8931,282
912699
425262164109
1,694484215269
444684409163112
53361729
875235105131
2233652238062
33231019
819249110138
2213191868350
2013710
15.744.446.742.7
25.410.213.57.96.9
5.66.14.710.8
15.640.040.439.9
24.810.514.37.77.1
6.47.25.112.8
15.949.554.945.9
26.29.812.68.26.6
4.54.94.08.1
6,6301,142695447
7202,136834630671
881399482
1,752
2,180494320174
191484149144190
323138185688
4,450648375273
5291,652685486481
558261297
1,064
NOTE: According to the 1970 Census, black workers comprised about 89 percent of the"black and other" population group.
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 47: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/47.jpg)
HOUSEHOLD DATA
A-6. Employment status of the noninstitutional population by race, sex, and age(Numbers in thousands]
Employment status and race
June1979
June1980
Males, 20 years and over
June1979
June1980
Females, 20 years and over
June1979
June1980
Both sexes. 16-19 years
June1979
June1980
TOTAL
Total noninstitutional populationTotal labor force
Percent of populationCivilian labor force
AgricultureNonagricultural industries...
UnemployedPercent of labor force
Not in labor force
White
Total noninstitutional populationTotal labor force
Percent of population ,Civilian labor force
EmployedAgricultureNonagricultural industries
UnemployedPercent of labor force
Not in labor force
Black and other
Total noninstitutional populationTotal labor force
Percent of populationCivilian labor force
EmployedAgricultureNonagricultural industries
UnGfnployGuPercent of labor force
Not in labor force
163,469106,228
6 5.0104, 15397,9173,785
94, 1326,235
6.057,240
143,13793,241
6 5.191,59686,9193,420
83,4994,677
5.149,8«7
20,33112,988
6 3.912,55710,998
36610,6331,55912.4
7,344
166,1051C8,159
65. 1106,06797,7763,737
94,0398,291
7.857,946
145,18194,956
65.493,34086,9203,46 9
83,4516,420
6.950,225
20, 92413,203
63,112,72710,856
26810,5881,87114.7
7,722
69,88956,521
80.954,86052,852
2,50950,343
2,0083.7
13,367
61/83050,232
81.248,90847,3522,270
45#0811,556
3.211,598
8,0586,289
78.05,9525,500
2385,262
4527.6
1,769
71,19057,228
80,455,57 052,153
2,47049,683
3,4176-1
13,962
62,87450,874
8 0.949,58146,876
2,27144,6042,706
5.512,000
8,3166,354
76.45,9895,278
1995,078
71111.9
1,962
76,89638,363
49.938,25136,058
74135,3162,194
5.738,533
67,23032,999
49.132, 91131,305
65830,647
1,6074.9
34,232
9,6665,36555.5
5,3404,753
834,670
58711.0
4,301
78,34039,817
50.839,68837,087
68936,397
2,6016.6
38,523
68,36134,292
50.234,19532,231
64831,582
1,9645.7
34,069
9,9795,52555.4
5,4934,856
414,815
63711.6
4,454
16,68411,344
68.011,0419,007
5358,4722,03418,4
5,34C
14,07710,010
71.19,7768,262
4917,7711,51415.5
4,067
2,6071,33451.1
1,26574544
701520
41.11,274
16,57511,114
67.110,8098,536
5777,9592,27321.0
5,461
13,9469,79170.2
9,5647,814
5507,2641,75018.3
4,155
2,6291,32350.3
1,24572227
695523
42.01,306
45
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 48: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/48.jpg)
HOUSEHOLD DATA
A-7. Employment status of the noninstitutional population 16-21 years of age by race and sexINurobars in thousands)
June 1990
Females
Black ind other
TOTAL
Total noninstitutional populationTotal labor force
Percent of population
Civilian labor forceEmployed
AgricultureNonagricultural industries
UnemployedLooking for full-time work . .Looking for part-time work .Percent of labor force
Not in labor force
ivMfor vcnvivy* joiny iw Know
Civilian labor forceEmployed
AgricultureNonagricultural industries . . .
UnemployedLooking for full-time work . .Looking for part-time work .Percent of labor force
Not in labor force
Major activity: other
Civilian labor forceEmployed
AgricultureNonagriculatural industries . .
UnemployedLooking for full-time work . .Looking for part-time work .Percent Of labor force
Not in labor force
25,07217,885
71.3
17,18113,973
77613,1973,2092,515
69316.7
7,187
1,4911,051
331,C19
440213227
29.53,C37
15,69012,^22
74112,1782,7682,303
46617.6
4,150
12, 6709,948
78.5
9, 3067,536
6086,9281,7701,443
32719.0
2,722
818569
17552249112137
3 0.51,438
8,4886,967
5916, 3761,5211,331
19017.9
1,285
12,4017,93764.0
7,8756,437
1686,2691,4381,072
36618.3
4,464
673482
1546719110190
28.41,599
7,2025,955
1525,8021,247
971276
17.32,865
21,14915,658
74.0
15,13312,692
73711,9542,4411,900
54216.1
5,49 1
1,240935
329033C5131174
24.62,158
13,89411,757
70511,052
2,1371,769
36815.4
3,333
10,7318,70081. 1
8,2216,83 5
5736,26 21,3361,129
25616.9
2,031
666504
1643816 258
10424.4
1,010
7,5556,331
5575,7741,2241,071
15216.2
1,022
10,4176,95866.8
6 ,9125,857
1645,6931,056
770286
15.33,460
574431
164151427370
24.81,148
6,3395,425
1485,277
913698216
14.42,311
3,9232,227
56.8
2,0481,281
391,242
767616151
37.51,696
252116
1161368253
53.9879
1,79 61,165
381,127
63253498
35.2817
1,9391,24864.4
1,086701
3566638 431470
35.4691
15366
164875433
57.1428
933636
3460129726037
31.9263
1,984979
49.4
963580
357738330281
39.81,005
9951
52482820
48.9451
863529
4525334274
6138.7554
4 6
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 49: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/49.jpg)
HOUSEHOLD DATA
A-8. Full- and part-time status of the civilian labor force by sex, age, and race{Numbers in thousands]
Race, sex. and age
TOTAL
Both sexes, 16 years and over.,
16 to 21 years16 to 19 years
16 to 17 years18 to 19 years
20 years and over20 to 24 years25 years and over
25 to 54 years55 years and over
Males. 16 years and over16 to 21 years16 to 19 years20 years and over
20 to 24 years25 years and over
25 to 54 years55 years and over
June 1980
Females, 16 years and over
16 to 21 years16 to 19 years20 years and over
20 to 24 years25 years and over
25 to 54 years •• •55 years and over
White
Males, 16 years and over16 to 21 years16 to 19 years20 years and over
20 to 24 years25 years and over
25 to 54 years55 years and over
Females, 16 years and over16 to 21 years16 to 19 years20 years and over
20 to 24 years25 years and over
25 to 54 years55 years and over
Black and other
Males, 16 years and over16 to 21 years16 to 19 years20 years and over
20 to 24 years25 years and over
25 to 54 years55 years and over
Females, 16 years and over16 to 21 years16 to 19 years20 years and over
20 to 24 years25 years and over
25 to 54 years55 years and over
9 2,2-1312,8367,2172,3*54,872
85,01614,26870,74758,86811,879
57,1297,2634,113
53,0168,079
44,93737,C867f851
35, 1045,5733,10432,0006,190
25,81021,7824,028
51,0106,4443,660
47,3507,11040,23933,0587, 182
29,8764,8312,712
27, 1655,308
21,85618,2793,577
6, 120820453
5,667968
4,6994,029
669
5,227742393
4,835882
3,9533,502
451
Fullt ime labor force
Employed
79,9518,4914,2C11,0203,182
75,75011,46564,28453,263
50,3204,8692,460
47,8606,493
41,36734,0337,334
29,6313,6211,742
27,8894,971
22,91719,2313,687
45,4204,4752,293
43,1275,809
37,31930,5686,750
25,5733,2971,612
23,9614,387
19,57416,2733,302
4,900394167
4,733684
4,0493,465
584
4,0583 25130
3,9285 84
3,3442,9 59
385
time foreconomic
5,1521,8301,345
651694
3,8071,0012,8052,303
502
2,623951720
1,903510
1,3931,124
270
2,529880625
1,905492
1,4131,180
233
2,270839637
1,633448
1,184953231
2,109765561
1,54840 8
1,140952188
35311283
27061
20917138
42111564
35784
27322845
(looking forfull-time work)
7,1302,5151,671
675996
5,4591,8023,6563,301
356
4,1861,443
9333,2531,0762,1771,930
247
2,9441,072
7332,206
7271,4791,372
107
3,3201,129730
2,590853
1,7361,536200
2,195770539
1,656513
1,1431,055
88
86631420366322344139447
74930219955021433631620
7.719.623.228.820.56.4
12.65.25 .63 . 0
7. 319.922.76. 1
13.34.85.23-1
8.419.223.86 . 9
11.75.76 . 32 . 7
6 . 517.519.95.5
12.04.34 . 62 . 8
7.315.919.96.19.75.25.82.5
14.238.344.811.723.09.49.87.0
14.340.750.711.424.28.59 . 04 . 4
Part-time labor force
13,8344,3453,5922,3051,287
10,2421,5838,6605,8372,823
4,3112,0431,7572, 554
5671,987
7761,211
9,5232,3021,8357,6881,0166,672 j5,0601,612
3,7701,7771,5392,232
4861,746
6541,092
8,6842,0811,6547,0 30
9246, 1064,6811,425
540266219322
81241122119
840221181658
925663801S6
part time'
12,6733,6522,9901,8671,1239,6831,4008,2825,5562,726
3,8601,7161,4702,390
5031,887
7301,157
8,8131,9361 ,5207,293
8976,3964,8261,570
3,4221,5211,3052, 116
4411,674
6241,051
8, 1271,7951,4066,722
8385,8844,4871,397
43919516527462
213107106
63614011557159
512339173
(looking forpart-time work)
1,16169360243816455918 237728097
45132728716 364994654
71036631539611827623442
34925623311645713041
55728624830986
22219428
10270544819301514
154816787335440
part-timelabor force
8.416.016.819.012.75.5
11.54.44.83-4
10.516.016.46.4
11.35.05.94.5
7.515.917.25.1
11.64. 14.62.6
9.314.415.25.29.24.14.63.8
6.413.715.04.49.33.64.12.0
18.826.524-714.823.412.412.311.8
18.336.636.813.235.59.5
10.57.5
1 Employed persons with a job but not at work are distributed proportionately among thefull- and part-time employed categories.
47
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 50: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/50.jpg)
HOUSEHOLD DATA
A-9. Employment status of the noninstitutional population by family relationship[Numbers in thousands]
Family relationship
Total 16 vears and over
Husbands1
With employed wifeWith unemployed wifeWith wife not in labor force
With employed husbandWith unemployed husbandWith husband not in labor force
Relatives in husband-wife families
16-19 years20-24 years25 years and over
Women who head families
Relatives in female-headed families16-19 years
20-24 years
Persons not living in families2
Total
106,067
40,86920,455
1,23617,381
23,50620,789
9021,815
16,2027,8495,524
2,829
5,0694,6731,693
1,3841,596
15,748
Civilian labor force
ofpopulation
64.7
80.992.292.970.748.955.556.620.169.267.982.055.358.060.759.076.053.261.6
Employed
97,776
39,15919,691
1,09816,689
22,17519,691
7641,720
13,558
6,3414,707
2,510
4,6483,6211,152
1,091
1,378
14,615
N
8
1
11
2
1
1
1
Unem
umber
,291
,710764138693
,331,09913895
,644
,509817
318
421
,053541
293219
,132
June 1980
Ployed
Percentoflaborforce
7.8
4.23.7
11.24.0
5.7
5.3
15.35.2
16.319.214.811.28.3
22.532.021.213.77.2
Total
57,946
9,624
1,72195
7,216
24,597
16,689693
7,216
7,213
3,7131,2092,291
3,675
3,0191,176
4401,403
9,818
Keepinghouse
32,722
168
411
110
22,203
15,523639
6,041
1,442
281206955
2,876
809129103577
5,224
Not in labor force
Goingto
school
4,021
156
656
52
192
1491033
2,384
1,76453486
96
850639171
40
343
Unableto
work
2,591
1,007
32436
574
265
793
183
362
1228
322
155
2223
20199
580
Otherreasons
18,612
8,294
1,29051
6,481
1,938
93941
959
3,025
1,656441928
548
1,137405145587
3,670
Includes a small number of single, separated, widowed, or divorced men who head 3 Individuals living alone or with unrelated persons plus a small number of persons insecondary families.
A-10. Unemployed persons by marital status, sex. age. and race
Marital status, sex, aga, and raceThousands of
persons
June
1979
June
1980
Unemploy ntent
June1979
June1980
Thousands of
June
1979
June
1980
June1979
June1980
Total, 16 years and over
Married, spouse presentWidowed, divorced, or separatedSingle (never married)
White, 16 years and over
Married, spouse< presentWidowed, divorced, or separatedSingle (never married)
Black and other, 16 years and over . .
Married, spouse presentWidowed, divorced, or separatedSingle (never married)
Total, 20 to 64 years of age
Married, spouse presentWidowed, divorced, or separatedSingle (never married)
White, 20 to 64 years of age
Married, spouse presentWidowed, divorced, or separatedSingle (never married)
Black and other, 20 to 64 years of age
Married, spouse presentWidowed, divorced, orSingle (never married)
2,993
95028 3
1,760
2,291
790201
1,291
702
15182
469
1,948
884263802
1,510
740189581
438
14474
221
4,637
1,708432
2,497
3,669
1,438315
1,916
968
270117581
3,357
1,643417
1,296
2,667
1,391305970
690
252112327
4.9
2.46.1
11.0
4.2
2.25,39.3
10.6
4.19.7
22.4
3.7
2.36.07.9
3.2
2.15.26.6
7.6
4 . 19.3
15.6
7.5
4.3
8.7
15.2
6.7
3.97.7
13.5
14.5
7.713.325.8
6.3
4.38.8
12.1
5.6
4.C7.9
10.7
11.9
7.413.420.6
3,242
1,150523
1,569
2,385
963357
1,065
857
187166504
2,164
1,063494606
1,581
885336360
583
178159246
3,654
1,418592
1,645
2,751
1,209412
1,131
902
209180514
2,575
1,318564692
1,948
1,122399426
628
1961662 66
7.5
5.06.6
12.9
6.4
4.65.6
10.4
14.4
7.610.726.1
5.8
4.76.88.2
5.0
4.45.86.0
11.2
7.510.918.1
8.2
5.97.1
13.3
7.1
5.66. 1
10.9
14.9
8>411.126.3
6.7
5.77.49.0
5.9
5.46.56.7
11.7
8.110.818.9
48
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 51: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/51.jpg)
HOUSEHOLD DATAA-11. Unemployed pefiont by occupation of last job and sex
Thousands of persons
June1979
June1980
Un# ITI ploy moot r
Total
Jure1979
Junei960
June1979
June1980
Femeles
June1979
June1980
Total, 16 years and overWhite-collar workers
ProftMtionw sno tscnniCe»Managers and administrators, except farm .Seles workersClerical workers
Blue-collar workersCraft and kindred workers
Carpenters and other construction craftAll other
Operatives, except transportTransport equipment operativesNonfarm laborers
Construction laborersAll other
Service workersPrivate householdAll other
Farm workersNo previous work experience
16to19ycars20 to 24 years26 years and over
6,2351,788
417206297868
2,C6850123726 ft879183506153353
1,07ft46
1,02879
1,22798616279
8,2912,048
454251295
1,0493,601
906447459
1,575334786197589
1,22966
1,162103
1,3101,022
19098
6.03.52.81.94.64.75.93.65.22.97.44.78.8
12.77.87:64.17.92.5
7.83.92.92.34.75.5
10.36.7
10.25.0
13.3B.S
13.617.512.78.65.8e.s3.3
4.92.42.11.53.44.25.23.65.22.86.04.58.6
12.67.46.9
6.91.8
7.52.82.21.83.75.39.76.7
10. 15.0
12.98.5
13.517.512.48.9
(1)8.82.7
7.54.53.73.26.04.98.94.2(D3.89.5a.4
10.9(1)10.4e. 14.28.65.0
8.24.93.73.55.85.5
13.06,3
11.05.7
13.913.215.0(1)14.88.45.38.85.4
Percent not shown where base is less than 75,000.
A-12. Unemployed parsons by industry of last job and sax
Percent distribution
June1979
June1980
Unemployment rates
June1979
June1980
June1979
June1980
June1979
June1980
Total, 16 years and overNonagricultural private wage and salary workers .
ConstructionManufacturing
Durable goodsLumber and wood productsFurniture and fixturesStone, cley, and glass productsPrimary metal industriesFabricated metel productsMachinery, except electrical equipment ,Electrical equipmentTransportation equipment
Other transportation equipmentinstruments and related productsOther durable goods industries
Nondurable goodsFood and kindred productsTextile mill productsApparel and other textile productsPaper and allied productsPrinting and publishingChemicals and allied productsRubber and plastics productsOther nondurable goods industries . . . .
Transportation and public utilitiesRailroads and railway expressOther transportationCommunication and other public utilities .
Wholesale and retail tradeFinance, insurance, and real estateService industries •
All other service industries . . .Agricultural wage and salary workersAll other classes of workersNo previous work experience
100.066.5
.46.9
18.59.8
.5.5.5.5
1.61.31.81.7
.9
. 8• 4.9
8.82.3
.91.9
.61.1
.8
.7
.72.5
.11.8
.620.6
2.714.86.38*51.8
12.119.7
100.073.2
.88.5
25.516.9
1.3.5.8
1.62.32.12.84.43.8
• 7.4.8
8.62.01.01.6.7
1.0.7
1.1.5
3.3.3
2.4. 6
18.72.3
14.05.48.61.69.4
15.8
6.05.42.98.05.04.44.55.74.22.56.42.94.54.23.94.64.47.76.07.56.28.44.54.53.75.96.42.9.9
4.31.76.83.15.44.17.06.03.0
7.87.86.8
13.19.1
10.115.97.89.2
10.011.65.89.6
15.624.25.25 .19.67.78.79.69.37.85.54.2
11.56.64.84.27.42.18.13.56.54.49.17.53.1
4.94.73.08.03.93.63.66.02.82.55.92.73.23.83.44.23.35.84.35.62.57.72.74.53.33.64.22.61.04.1
.95.53.04.73.16.14.62.4
7.57.97.0
13.88.39.3
16.67.27.99.3
10.85.77.2
14.322.3
4.83.36. 16.37.67.97.65.54.73.99.15.95.04.67.22.17.33.56.83.49.66.52.5
7.56.51.97.47.66.4
10.85.28.72.1fi.83.56.36.66.66.55.6
10.68.7
12.610.28.6
10.84.64.9
10.29.73.7
d)5.13.08.23-25.84.57.9
10.64.0
8.27.75.45.7
11.012.411.3
9.215-011. 114.26.3
12.721.733.4
6.77.7
14.69.7
11.211.59.7
15.06.75.1
15.97.14.3
P)8.22^39.13.56.34.88.7
11.13.8
1 Percent not shown where base is less than 75,000.
4 9
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 52: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/52.jpg)
HOUSEHOLD DATA
A-13. Unemployed persons by reason for unemployment, sex, age, and race
Reason for unemployment
June1979
June1980
Males. 20 years
June1979
June1980
Females, 20 yeanand over
June1979
June1980
Both sexes,16 to 19 years
June1979
June1980
June1979
June1980
Black and other
June1979
June1980
UNEMPLOYMENT LEVEL
Total unemployed, in thousandsJob losers
On layoffOther job losers
Job leaversReentrantsNew entrants
PERCENT DISTRIBUTION
Total unemployedJob losers
On layoffOther job losers
Job leaversReentrantsNew entrants
UNEMPLOYMENT RATE
Total unemployment rateJob loser rate1
Job leaver rate1
Reentrant rate1
New entrant rate1
6,2352,096
6251,471
8232,0911,226
100.033.610.023-613.233.519.7
6.02.0
.82.01.2
6,29 13,94 51,6132,33 2
66 42,17 21,309
100.047.519. 42fi. 110.426. 215.fi
7. 83.7
. 82.01.2
2,0081,098
2 348143 334 99
79
100.054.614.140.516.624.8
3.9
3.72.0
.6.9.1
3,4172,392
9741,418
337572115
100.070.028.541.5
9.916.73.4
6. 14.4
.61.0
.2
2,1947462664 80328958161
100.034.012. 121.915.043.77.3
5.72.0
.92.5
2,6011,181
520661377871172
100.045.420.025.414.533.56.6
6.63.0.9
2.2.4
2,03425275177161634987
100.012.43.7S.77.931.243.5
18.42.31.55.78.9
2,273372118254150729
1,022
100.016.45.211.26.632.144.9
21.03.51.46.79.5
4,6771,609489
1,120706
1,528833
100.034.510.524.015.132.717.8
5.11.7.81.7.9
6,4203,1261,3581 ,76 8
7081,660
926
100.0ue.e21.127.511.025.914.4
6.93.4
.81.81.0
1,559486136350117563393
100.031.28.7
22.57.5
36. 125.2
12.43.9• 9
4.53.1
1,871819255564156512383
100.043.813.630.28.3
27.420.5
14.76.41.24.03.0
1 Unemployment rates are calculated as a percent of the civilian labor force.
A-14. Unemployed persons by reason for unemployment, duration, sex, and age
(Percent distribution]
Reason, sex, and age
June 1930
Total unemployed
Thousandsof persons
Duration of unemployment
Less than5 weeks
5 to 14 15 to 26weeks
Total, 16 years and over . .
Job losersOn layoffOther job losers
Job leaversReentrantsNew entrants
Miles, 20 years and over..
Job losersOn layoffOther job losers
Job leaversReentrantsNew entrants
Females, 20 years and over
Job losersOn layoffOther job losers
Job leaversReentrantsNew entrants
Both Mxes, 16 to 19 years
Job losersOn layoffOther job losers
Job leaversReentrantsNew entrants -
8,291
3,9451,6132,332
6642,1721,309
3,417
2,392974
1,418337572115
2,601
1,181520661377871172
2,273
372118254150729
1,022
100.0
100.0100.0100.0100.0100.0100.0
100.0
100.0100.0100.0100.0100.0100.0
100.0
100.0100.0100.0100.0100.0100.0
100.0
100.0100.0100.0100.0100.0100.0
51.3
37.848.530.549.163.373.2
39.2
35.247.127.039.753.052.7
49.8
39.347.732.751.260.266.4
71.0
50.564.044.364.674.976.6
28.8
33.433.333.530.525.219.7
32.8
34.135.233.333.827.032.7
30.3
32.631.633.328-529.225.0
20.9
31.725.234.728.519.017.3
20.0
28.718.236.120.411.67.1
28.0
30.817.739.726.520.014.6
19.9
28.120.733.920.310.68.6
8.0
17.810.821.16.96.16.0
11.2
16.212.019.210.56.83.6
15.3
17.112.220.413.110.7
6.3
11.1
15.412.817.410.26.94.7
5.1
13.36.1
16.65.33.63.2
12.56.2
16.99.94.83.5
12.7
13.65.4
19.313.39.38.2
8.8
12.77.9
16.510.13.84.0
2.9
4.54.84.41.62.52.9
50
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 53: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/53.jpg)
HOUSEHOLD DATA
A-16. Unemployed jobseekers by the jobsearch methods used, sex. age, and race
June 1980
Total
Maihode uaad aa a paroant of total johniksrs
Total, 16 years and over.16 to 19 years20 to 24 yean26 to 34 years36 to 44 years45 to 54 years55 to 64 years65 years and over
Males, 16 years and over..16 to 19 years20 to 24 years26 to 34 years35 to 44 years45 to 54 years55 to 64 years66 years and over
Females, 16 years and over16 to 19 years20 to 24 years25 to 34 years35 to 44 years45 to 54 years55 to 64 years65 years and over
White, 16 years and over •MalesFemales
Btock and other, 16 yearsand over
MalesFemales
8,2912,27 31,9852,004
91666136686
4,6371,22 01, 1401,156
477343242
60
3,6541,053
84584843931912426
6,4203,6692,751
1,871968902
6,4722,0951,5631,450
6364252 34
68
3,4761,109
8617 803 09212157
47
2,9969 877026703 272137720
4,8612,6732,186
1,6118 038 08
27.420.829.632.529.732.925.6
d)
28.918.634.435.931.733.522.3(D
25.723.323.628.526.032.432.5
(D
25.727.223.8
32.734.431.1
6.14.36.76.78.37.84.3P)
5.33.45.55.89.47.13.8(1)
7.05.3e.47.87.38.56.5
6.05.46.8
6.14.77.5
75.081.175.271.870.065.272.2
74.482.274.169.069.667,969.4
(D
75.779.876.675.170.362.479.2
P)
76.27S.377.3
71.471.671.2
28.622.211.035.228.532.025.2
P)
28.222.429.536.926.525.929.3
(1)
29.022.132.933.130.33 8.516.9
P>
30.329.631.1
2 3.423.423.4
14.914.614.313.218.419.317. 1
17.517.216.616.922.721.714.0
(1)
11.911.711.48.7
14.416.923.4
16.118.912.7
11.413.19.9
5.43.85.16.65.2
10.17.7P>
6.93.76.6a. 6
10.712.39.6(1)
3.74.03.14.2
8.05.2V)
5.47.03-5
5.56.54.5
1.571.471.621.661.601.671.52(1)
1.611.481.671.731.721.681.48P)
1.531.461.561.571.481.671.64P)
1.601.631.55
1.511.541.48
Percent not shown where base is leu than 75,000.
NOTE: The jobseekers total is less than the total unemployed because persons on layoff or
waiting to begin a new wage and salary job within 30 days are not actually seeking jobs. Itshould also be noted that the percent using each method will always total more than 100because many jobseekers use more than one method.
A-16. Unemployed jobseekers by the jobsearch methods used, sex, and reason for unemployment
Sex and reason
June 1980
Thousands of persons
Totaljob-
Methods used as a percent of total jobseekers
Averagef of
Total, 16 years and overJob losers
ReentrantsNow0ntrsnts • • • • • • • > • • • • .
Males, 16 years and over .Job losersJob leaversReentrantsNew entrants
Females. 16 years and overJob losersJob leaversReentrantsNew entrants
8,2913,945
8642,1721,309
4,6372,639
405953641
3,6 541,306
4591,220
668
6,4 722,301
8 851,9991,28€
3,4761,570
4 188616 26
2,9967314 67
1,138660
27.436.326.022.819.8
28.937.026.320.721.2
25.734.625.724.318.3
6.15.69.46.54.2
5.34.67.95.35.0
7.07.5
10.77.23.5
75.073.276.974.078.4
74.472.777.374.976.2
75.774.376.773.480.5
28.629.332.531.519.8
28.228.628.932.320.9
29.030.935.830-918.8
14.915.418.013.613.9
17.516. 122.018.716.6
11.914.014.39.8
11.4
5.47.62.44.74.7
6.99.72.65.74.5
3.73. 12.14.05.0
1.571.671.651.531.41
1.611.691.651.581.44
1.531.641.651.501.37
NOTE: See note, table A-16.
51
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 54: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/54.jpg)
HOUSEHOLD DATAA-T7. Unemployed persons by duration of unemployment
Total
Juno1979
June1980
June1979
June1980
Full-time workers
June1979
June1980
June1979
June1980
Total, 16 years and over . . .
Lass than 5 weeks6to 14 weeks
6 to 10 weeks11 to 14 weeks
16 weeks and over15to 26 weeks27 weeks and over
27to61waakt52 weeks and ovar
Avaraga (mean) duration, in weeksMadian duration, in weeks
6,235
3,6671,4831,116
3671,085
593492271221
9.44.3
8,291
4,2492,3871,773
6131,655
926729432297
1C.44.9
100.0
58.823.817.9
5.917.49.57.94.33.5
100.0
51.328.821.4
7.420.011.2
8.85.?3.6
5,132
2,P781,269954314985542444245108
10. 14.5
7, 130
3# 4 252,1701,603
5671,535
860674404270
11.05.4
100.0
56.124.718.66.1
19.210.68.74.83,9
100.0
48.030.422.5
8.021.512.19.55.73.8
A-18. Unemployed persons by duration, sex, age, race, and marital status
Sax, age, race, and marital status
Thousands of persons
15 to 26 27 weeks
(mean)duration,in weeks
duration,in weeks
June 1980
Less than 5 weeks as a
in group
15 weeks and ovar as atof unemfin group
June1979
June19P.0
June1979
June1980
Total, 16 years and ovar
16to 21 years16to19years20to 24 years25 to 34 years35 to 44 years45 to 54 years55 to 64 years65 years and over
Males, 16 years and over16 to 21 years16 to 19 yean20 to 24 year*25 to 34 years35 to 44 yean45 to 54 years55 to 64 years65 years and over
Females, 16 years and over16 to 21 years16to19years20to 24 years25 to 34 years36to44years45 to 54 years56 to 64 years66 years and over
White, 16 years and ovar..
Black and other, 16 years and over
Males, 16 years and ovar:Married, spouse present. . . .Widowed, divorced, or
separated.Single (never married)
Females, 16 years and ovar:
Widowed, divorced, orseparated
Single (never married) .
8,2913,2092,2731,9852,00491666 136686
4,6371,7701,2201 ,1401,15647734324260
3,6541,4381,05384584 e43931912426
6,4203,6692,751
1 ,871968902
1,708
4322,497
1,418
5921,645
4,2492,1551,6141,023
81734626512934
2, 1811,142
842534423152118B824
2,0691,013
7734894141941474110
3,3121,7431,568
938437500
618
1361,427
735
2401,094
2,38774 747662764432318910622
1,379420258375380182996619
1,0073272182522641409040
3
1,8481,091
756
539288251
583
156641
423
199386
9261321162C22871431C56211
59912377
142190
en6040
5
3275939€197594522
6
7344 75259
19212568
286
69244
161
7690
72912467
1322361051026919
478354488
16258664711
40234373463622
7
527360167
20211884
221
72185
99
7775
10.46.76.09.3
12.413.314.716.617.3
11.77.36.5
10.fi13.814.ft17.218. 116.6
o p
5I95.57.5
10.411.912.013.718.8
10.111.38.4
11.513.19.0
13.6
16.69.5
9 . 4
12.76.9
4.93.73.54.87.17.67.98.68.7
5.73.93.65.78.68.79.28.87.4
4.43.63.44.35.36.46.28.3
15.8
4.85.64.4
5.06.44.5
8 . 2
9.44.4
4 . 8
7.53.8
58.871.773.361.748.444.050.243.03.3.3
56.272.374.259.242.536.548.138.6
(1)
61.271.272.464.053.049.652.449.8
(1)
60.057.462.6
55.252.557.4
43.9
39.865.5
55.2
51.568.8
51.367.271.051.641.837.840.035.339.9
47.064.56S.046.936.632.034.336.5
(1)
56.670.473.457.948.844.146.233.1
(1)
51.647.557.0
50.145.255.4
36.2
31.457.1
51.9
40.566.5
17.48.46.7
16.122.428.626.332.833.5
20. 19.47.2
19.027.134.625.935.4(D
14.97.56.2
13.518.624.126.728.9
(D16.919.414.5
19.022.316.2
28.3
29.914. 1
17.6
22.410.5
20.09.68.0
16.826.127.031.435.734.8
23.211.79.9
20.230.529.836.936.2
(1)
15.86.95.9
12.320.023.925.534.7
(1)
19.622.715.5
21.125. 116.8
29.7
32.617.2
18.3
25.910.C
Percent not shown where base it leis than 76,000.
52
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 55: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/55.jpg)
HOUSEHOLD DATAA-19. Unemployed | is by duration, occupation, and industry of last job
Occupation and industry Total
June 1980
Lestthen6week*as a percent of
June1979
June1 9 8 0
15 week* and overaiaparoantof
V
June1979
June1980
OCCUPATION
White-collar workers
Sales workers ..Clerical workers ,
Blue-collar workersCraft and kindred workers ..Operatives, except transport.Transport equipment operativeNonfarm labo
Service workers .
2,0487 0S295
1,049
3,601906
1,575334786
1,229
INDUSTRY1
AgricultureConstructionManufacturing...
Durable goods.
Transportation and public utilitiesWholesale and retail tradeFinance and service industries . . .Public administration
No previous work experience. 1,310
1,040335157549
1,506387602142375
683
135729
2,1221,404
718302
1,5571,755
203
74322786512274148795965110
959
59821282
304
1, 177271550117238
326
4420273350023394
49945638
258
2 378232
123
5251582484474
110
1013234923111727
14417027
47
17 3762473
393901753099
110
873
254160943311916128
46
10.311,89,99.4
12.212.312.412.411.6
9,9
9.111.613.213.113,410.810.010.211.0
6.2
4.95.94.74.8
6.76.67.46.95.5
4.5
4.66.47.98.07.55.24.94.74.6
3.4
55.150.655.758.1
52.548.752.351.257.2
61.6
74.352.549.449.349.553.059.357.955.9
71.5
50.847.553.252.4
41.842.738.242.647.7
55.6
54.644.137.036.538.149.051.155.054.?
73.2
19.325.518.515.2
22.623.324.819.219.4
15.5
12.021.326.229.822.222.514.917.522.9
8.0
20.022.419.018.7
25.527.426.922.322.0
17.9
13.028.128.427.929.419.816.918.927.2
7. 11 Includes wage and salary workers only.
A-20. Employed persons by sex and age{'"thousands]
A99 WIG type of industryJune1979
June1980
June1979
June1980
June1979
June1980
16to19years .16 to 17 years18 to 19 years
20 to 24 years .25 to 54 years . .
25 to 34 years36 to 44 years45 to 54 years
55 to 64 yean .55 to 59 years60 to 64 years
66 years and over
16to 19years . . .16 to 17 years18 to 19 years
20to24years . . .25 to 54 years . . .
25 to 34 years36 to 44 years45 to 54 years
55 to 64 years ..55 to 59 years60 to 64 years
00 ytin too over
Agriculture16 to 19 yean . .
16 to 17 years18 to 19 years
20to24yean . . .25to54yean . . .
26 to 34 yean36 to 44 yean46 to 54 yaws
56 to 64 years ..66 to 59 yean60 to 64 yam
65 years and .over
97,9179,0073,7485,260
14,37060,25925,4C318,65016,20511,2767,0334,2433,004
94,1328,4723,4505,022
13,89858, 38724,70118,09015,59510,7406,7593,9812,635
3,78553529 fi238472
1,872702560610536274262370
97,7768,5363,5384,999
13,86661,12425,79019,15616,17711,3386,9574,3812,912
94,0397,9593,2034,756
13,39259,29525, 10118,54815,64610,8026,6944, 1092,590
3,737577335243474
1,828689608531536264272322
57,8174,9652,1202,8457,946
36,10415,24311,0469, a 166,9104,2762,6351,891
54,8714,5281,8862,6427,573
34,72214,69210,6579,3736,4774,0622,4151,572
2,946437234204373
1,382551389442433214220319
56,8034,6501,9762,6747,506
35,88715, 15411,1079,6276,9494,2602,6891,811
53,8834,2001,7122,4897,126
34,53614,62210,6819,2336,5004,0522,4481,520
2,920449264185380
1,351531426394448208240291
40,1004,0421,6282,4146,424
24,15510,1607,6056,3894,3662,7571,6091,113
39,26V3,9441,5642,3816,325
23,66510,0097,4346,2224,2632,6971 ,5661,063
83998643499
49015117116810360435C
40,9733,8871,5622,3256,360
25,23710,6378,0496,5514,3892,6971,6921,100
40,1563,7591,4912,2676,267
24,75810,4797,8676,4134,3022,6421,6601,070
817128705794
47815818213887553231
53
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 56: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/56.jpg)
HOUSEHOLD DATA
A-21. Employed persons by occupation, sex, end age[In thousands]
Jane1979
June1980
MM0St 20 yMft MIO O
June1979
June1930
*OTMMS9 2 0 ytGTS MtQ OVff
June1979
June1980
June1979
June1980
1t-1ty
June1979
June1980
TOTAL.
White-collar worton .
Professional and technicalHealth workers •Teachtrs, except collegeOther professional and technical
Managers and administrators, except farm . .Salaried workersSelf-employed workers in retail trade . . . .Self-employed workers, except retail trade
Sales workersRetail tradeOther industries .
Clerical workersStenographers, typists, and secretariesOther clerical workers
Blue-collar workers .
Craft and kindred workersCarpentersConstruction craft, except carpentersMechanics and repairersMetal craftBlue-collar worker supervisors, not elsewhere
classifiedAll other
Operatives, except transportDurable goods manufacturing . . .Nondurable goods manufacturingOther industries
Transport equipment operativesDrivers, motor vehicles . . . .All other
Nonfarm laborers .Construction . . .Manufacturing . .Other industries .
Service workars
Private household workersService workers, except private household .
Food service workersProtective service workersAll other
Farm workers
Farmers and farm managers
Farm laborers and supervisors .Paid workersUnpaid family workers
97,917
48,672
14,5562,7762,6979,083
1C,5C28,797
829876
6,1503,1582,992
17,U6aa,736
12,728
33,140
13,2761,4292,8533,5671.3 15
1,6632.4 49
10,9635,1183,3452,500
3,6 723,124
547
5,2301,0561,1013,072
12,9ei
1,0621 1,9 19
4,4361t3e66,097
3,124
1,496
1,6271,222
405
97,776
50,307
15,2412,9282,7899,524
10,8788,980
8241,074
6,0233,0992,925
18,1655,0171.3,148
31,333
12,6211,2162,7353,2991,344
1,6692,357
10,2734,4553,3642,454
3,4552,945
514
4,981931961
3,089
13,103
1,08412,0204,5521,4206,048
3,032
1,49 4
1,5381,168
370
52,852
22,498
8,309927817
6,565
7,8666,581
561725
3,1821,0042,177
3,14152
3,089
24,360
11,9281,2972,6443,3351,223
1,4991,930
5,8573,0781,3121,467
3,2172,728
489
3,359726818
1,914
3,878
143,864
7821,250
1,832
2,116
1,332
784
73846
52, 1 53
22,977
8,4979 30798
6,769
8,0556,598
550907
3,0699P1
2,088
3,35765
3,292
23,178
11,2891,1162,5103,0581,245
1,4991,861
5,6052,8311,2801,494
3,0502,573
477
3,233698723
1,813
3,960
203,940
8911,254
1,795
2,038
1,301
737690
48
36,058
23,459
6,0401,8401,8612,339
2,5322,117
269145
2,2851,557
72ft
12,6024,3388,264
5,458
70614415039
146417
4,0921,6 941,790
607
2 36216
20
4242 3
123278
6,555
8075,7482,208
10ft3,436
586
151
435179256
37,087
24,708
6,5371,9771,9712,589
2,6892,253
272164
2,2691,526
744
13,2134,6318,582
5,185
70218555752
155365
3,8501,4181,829
602
20819711
42516
117291
6,659
8375,8222,166
1293,527
535
169
366168197
4,965
719
1026
96
5751
239185
54
3216
315
2,868
60211616118049
1283
7202431143 63
20316439
1,343299147896
1,035
141,021
60123
397
344
14
330
23595
4 ,650
713
1147
1097
7169
223173
51
3C57
298
2,554
57675
16118447
1496
560149116295
19116724
1,227212111903
1,022
61 ,016
66024
332
360
24
33624987
4,042
1,996
1053
1983
4747
445411
34
1,399339
1,060
455
411745
519
29310312862
1617
1047
1384
1,513
2271,286
8469
431
78
79708
3,887
1,909
93151068
635921
462420
42
1,290314976
416
54892
135
25756
13863
972
965
1081
1,463
2211,242
83513
394
100
996238
54
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 57: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/57.jpg)
HOUSEHOLD DATA
A-22. Employed persons by occupation, sex, and race[Percent distribution]
June1979
June1980
June1979
June1980
June1979
June1980
TOTAL
Total, 16 years and over (thousands)Percent
White-collar workersProfessional and technicalManagers and administrators, except farm . .Sales workersClerical workers
Blue-collar workers ,Craft and kindred workers.Operatives, except transportTransport equipment operativesNonfarm laborers
Service workersPrivate household workersOther service workers
Farm workersFarmers and farm managersFarm laborers and supervisors . . * .
White
Total, 16 years and over (thousands)Percent
White-collar workersProfessional and technicalManagers and administrators, except farm . .Sales workersClerical workers
Blue-collar workers
Craft and kindred workersOperatives, except transportTransport equipment operativesNonfarm laborers
Service workersPrivate household workersOther service workers
Farm workersFarmers and farm managersFarm laborers and-supervisors
Black and otter
Total, 16 years and over (thousands)Percent
White-collar workersProfessional and technicalManagers and administrators, except farm . .Sales workersClerical workers
Blue-collar workersCraft and kindred workersOperatives, except transportTransport equipment operativesNonfarm laborers
Service workers ,Private household workersOther service workers ,
Farm workersFarmers and farm managers .Farm laborers and supervisors
1 Less than 0.06 percent.
97,917100.0
49.714.910.76.3
17.8
33.813.611.23.85.3
13.31.1
12.2
3.21.51.7
86,919100.0
51. 215.211.46.7
17.9
33.514.010.83.65. 1
12.0.8
11.2
3.21.71.6
10,998100.0
37.712.55.22.7
17.3
36.59.7
14.54.87.6
22.93. 1
19.8
2.9.4
2.5
97,776100.0
51.515.611.16.2
18.6
32.012.910.53.55.1
13.41.1
12.3
3.11.51.6
86,920100.0
53.015.911.96.6
18.6
31.513.410.0
3.44.8
12.2.8
11.4
3.31.71.6
10,856100.0
39.012.75.22.8
18.3
36.19.2
14.85.07.1
23.13.4
19.7
1.9.3
1.6
57,817100.0
40.214.513.75.96.0
47.121.711.45.98.1
8.5.1
8.4
4.32.31.9
51,896100.0
41.615.014.56.35.3
46.422.211.05.67.6
7.7(1)7.6
4.32.51.8
5,921100.0
27.510.66.82.77.4
52.817.014.68.3
12.9
15.8.1
15.7
3.9.6
3.2
56,803100.0
41.715.214.35.86 .4
45.320.910.95.7
7.9
8.8
8.74.22.31.9
51,111100.0
43.115.715.26.16.2
44.521.410.45.37.4
8.0(D7.9
4.42.51.8
5,692100.0
28.910.66.72.98.7
52.316.015.09.2
12.2
16.0.1
15.9
2.9.5
2.4.
40,100100.0
63.515.3
6.46.8
34.9
14.71.9
1C.9. 6
1.3
20.12.6
17.5
1.7.4
1.3
35,023100.0
65.515.4e.s7.4
35.8
14.32.0
10.4. 6
1.3
ie.52.0
16.5
1.6.4
1.2
5,077100.0
49.514.73.32.7
28.8
17.51.1
14.5. 6
1.3
31.26.7
24.5
1.8.1
1.6
40,973100.0
65.016.26.76.7
35.4
13,71.8
10.0.5
1.3
19.82 .6
17.2
1.5.4
1. 1
35,809100.0
67.116.37.27.2
36.3
13.01.99 .4
. 51.2
18.21.9
16.3
1.7.5
1.2
5,164100.0
50. 115.03.52.7
28.9
18.21.7
14.5.4
1.5
31.07.1
23.9
.1. 7
55
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 58: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/58.jpg)
HOUSEHOLD DATA
A-23. Employed persons by class of worker, age, and sex[In thousands]
AgaandMx
June 1980
Wag* and salary workers
Total
SaH
Total, 16 years and over16 to 19 years
16 to 17 years18to 19years
20 to 24 years25 to 34 years35 to 44 years46 to 54 years5 5 t o 6 4 years
55 to 59 years60to 64years
65 years and over
Males, 16 years and over16 to 19 years
16 to 17 years18 to 19 years
20 to 24 years25 to 34 years35 to 44 years45 to 54 years55 to 64 years
55 to 59 years60 to 64years
65 years and over
Females, 16 years and over16 to 19 years
16 to 17 years18 to 19 years
20 to 24 years25 to 34 years
35 to 44 years45 to 54 years55 to 64 years
55 to 59 years60 to 64 years
65 years and over
86,8377,8203, 1404,679
13,04523,53416,68614,C299,6596,0123,6472,064
49,0604,1071,6782,4306,386
13,5439,4738, 1475,7263,5952,1301 ,178
37,7763,7121,4632,2506,1599,9917,2135,8823,9342,4171,517
R85
1,2653042 37
671181541 192 242051 10
96141
20986632339196
131715
329
1,0 56217174
4379
13511.3211188
9593
1 12
15,367599233366
1,4644,4833,3803,0911,9981,292
705353
7,746310126185628
2,2471,6881,6181,053
676377202
7,621288107181836
2,2361,6921,473
945616329150
70,2046,9172,6704,246
11 ,46218,89713,18710,7147,4564,6102,84 71,570
41,1053,7101 ,4392,2226,219
11,2787,7796,5174,6552,9041,751
947
29,0993,2071,1822,0255,2437,6205,4084,1972,8011,7051 ,096
623
6,733984256
3011,4891,7411,5121,089
656434503
4,739621844
2131,0711,20 31,084
770456314337
1,99436241388
418538428319200120167
469412120477812110554262P23
8331161527fl515145
3 861055
207011610349262418
1,6584 092251843263492311591166S5169
1,29432418513925626916412294514366
3658540457080673722143
1,693442717
1082913063193901B0210235
1,49039251599
255258272350155195217
2035328364848402515
38612482424149715330181218
136865532258414228
2503828101541675326169
A-24. Employed persons by industry and occupation
[In thousands]
Industry
Total, 16 years and over:
AgricultureMining
ManufacturingDurable goodsNondurable goods . . .
Transportation and public
utilitiesWholesale and retail trade
Wholesale tradeRetail trade
Finance, insurance, and real
estateServices
Other service industriesPublic administration
Jane 1980
Totalemployed
1 ,737926
6 ,43821 , 54 412,8018,743
6,41919,684
3,75315,930
5,69827,865
1,33926,526
5,465
Profes-sional andtechnicalworkers
7711 119 3
2,43 81,653
78 4
65 844 516428 1
3309,910
89,9021,079
Managersand
admMs-tnmn.raptfarm
4071
8151,777
979798
6473,751
7582,993
1,0692,0 53
2,0 53654
Satesworkers
138
18529202327
693,987
8893,099
1, 170222
2226
CterioeJworfcors
101100509
2,7121,5771,135
1,4943,413
7672,646
2,6995,126
5,1192,010
Craftand
kindredworkers
62255
3,4484,1732,8031,370
1,3481,426
2981,127
881,524
91,515
298
Una Mil.
Operatives,exoapt
transport
12279266
7,8194,4553,3 64
159943186758
9739
6733
45
Hi
4054
230730332398
1,374703385318
11254
11243
62
laborers
34339
9319 6 1 '579.182
4951,249
274975
77699169530185
Servtee workers
———
—
—
1,0841,084
—-
Otheretrvto*
workers
179
27407222185
1743,766
333,733
2446,253
446,2091,125
Farmworkers
3,032——-———
—-——
—
5 6
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 59: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/59.jpg)
HOUSEHOLD DATA
A-25. Employed persons with a job but not «t work by reason, pay status, and sex
June1979
June1980
Nonegrioulturel indw
Total
June1979
June1980
Wage and salary workers1
Paid absenees2
June1979
June1980
June1979
June1980
Total, 16 years and over .
Industrial dispute .All other reasons .
Males, 16 years and over.
Vacation
IllnessAll other reaaonsS
Femeles, 16 years and over .VacationIllnessAl lo tnorr ts tOfW , . « • • • • • « • • • • •
7, 1224,6601,423
22142876
3,5392,135
831574
3,5832,526
592465
6,7694,5591,240
4079
851
3,2592,024
718517
3,5102,536
522453
7,0184,6181,385
17141858
3,4502,101
795553
3,5692,516
590464
6,67 04,5231,217
3179
82C
3,1801,995
697
3,4902,527
520442
3,8223,110
520
192
2,0411,634
302105
1,7801,475
21788
3,5912,947
449
195
1,9331,517
291124
1,6591,430
15871
2,6541,271
776
608
1,103361435307
1,552911340301
2,5491,337
675
536
965365358243
1,586974318294
2 Pay status not aare included in all other reasons.
i for bad weather and industrial dispute; these categories
3|ncludes bad weather and industrial dispute, not shown separately.
NOTE: Estimates for "all other reasons" by pay status may be biased because of high re-sponse variance; data should be used with caution.
A-26. Parsons at work by type of industry and hours of work
Hours of work
June 1980
Agri-
Percent distribution
Agri-culture
Total, 16 yean and over .
1-34 hours1-4 hours5-14 hours15-29 hour*30-34 hours
36 hours and over36-39hours40 hours41 hours and over
41 to 48 hours49 to 59 hours00 hours and over ,
Average hours, total at work
Average hours, workers on full-time
schedules
91,007
21
3106
6964022
76
i
,1256 95,6 20,4 66,344
,8 83,8 55,461,567
*481,3 88
38.9
H3.0
87,369
20,20464 9
3,41910,0046,132
67,1656,730
39,92520,5108,4257,000
5,085
38.5
42.5
3,638
91945
200462212
2,718126535
2,057273481
1,303
43.6
56.8
100.0
23.2.8
4.011.57.0
76.87.5
44.524.8
9.68.27.0
100.0
23.
3!11.7,
76.7.45.23.9.8.5.
1,795C
9775608
100.0
25.31.25.5
12.75.8
74.73.5
14.756.6
7.513.235.8
57
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 60: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/60.jpg)
HOUSEHOLD DATA
A-27. Persons at work 1 - 34 hours by usual status and reason for working less than 35 hours[Number* in thousands]
Reason for working less than 35 hours
June 1980
full t i n *
Usuallywork
part time
Usuallywork
part time
Total, 16 years and over
Economic reasonsStack workMaterial shortages or repairs to plant and equipment
• New job started during weekJob terminated during weekCould find only part-time work
Other reasonsDoes not want, or unavailable for, full-time work .VacationIllnessBad weatherIndustrial disputeLegal or religious holidayFull time for this jobAll other reasons
Average hours:Economic reasonsOther reasons
Worked 30 to 34 hours:Economic reasonsOther reasons
21,125
5,1522,664
85318104
1,981
15,9749, 3041 ,4 051,454
13625
1351,4022,110
21.921.4
1,6064,738
6,802
2,2041,697
85318104
4,600
1,4051,279
13625
135
1,618
24.426.1
9832,471
14,322
2,943967
11,3749,304
175
1,402492
20.019.5
6232,267
20, 204
4,8602,481
81308103
1,887
15,3428,9321,3781,393
11225
1341,3662,004
22.021.5
1,5384,594
6,555
2,C861,595
813C8103
4,466
1,3781,249
11225
134
1,571
24.526.2
9502,421
13,650
2,774886
1,887
10,8768,932
144
1,366433
20. 119.5
5885,173
A-28. Nonagricultural workers by industry and full- or part-time status[Numbers in thousands]
June 1930
Full- or part-time status
Totalat
On part t i n *for economic
Oniluntai
.part tiro*
On ff
Total49 hours
noun,total
at work
Average
workerson full-time
Total, 16 years and over ' . . . .
Wage and salary workers
Construction
ManufacturingDurablegoodsNondurable goods
Transportation and public utilitiesWholesale and retail tradeFinance, insurance, and real estate
Service industriesPrivate householdsAll other industries
Public administration
Self-employed workersUnpaid family workers
87,369
80,624
4,964
19,978
11,899€.079
5,66216,773
4,994
22,2951,194
21,1015,123
6,276469
4,660
4,353
417
879427.452
2101,351
93
1,256222
1,034121
477
29
10,876
9,686
196
577216361
2623,724
499
4,126541
3,585287
1,000190
71,633
66,585
4,351
18,52211,2567 , 266
5,19011,6984,402
16,913431
16,4824,715
4,799250
51,123
48,846
3,227
13,7178,3645,353
3,7257,6933,470
12,363293
12,5703,736
2,129150
8,425
7,886
493
2,524
1,550974
5681,677
409
1,65754
1,603443
51326
12,085
9,853
631
2,281
1,342
939
8972,328
523
2,39384
2,309536
2,15774
38.5
38.3
39.6
40.541.039.8
41.136.238.4
36.224.236.939.7
41 .534.7
42.5
42 .1
42.1
41.841.941.7
42.943.040.9
41.642.441.641.5
48.545.6
Includes mining, not shown separately.
58
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 61: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/61.jpg)
HOUSEHOLD DATA
A-29. Persons at work in nonagricultural industries by full- or part-time status, sex, age, race, and marital status(Numbtrs in thousands]
fax, a * , race, and marital status
June 1080
Totalat
On parttime for
Onvoluntary
On full-time schedules
40 boonor less
TOTAL
Both sexes, 16 years and over18 to 21 years16 to 19 years
16 to 17 years18 to 19 years
20 years and over20 to 24 years25 years and over
25 to 44 years45 to 64 years65 years and over
Males. 16 years and over16 to 21 years16 to 19 years
16 to 17 years18 to 19 years
20 years and over20 to 24 years25 years and over
25 to 44 years45 to 64 years65 years and over
Females, 16 years and over16 to 21 years16 to 19 years
16 to 17 years18 to 19 years
20 years and over20 to 24 years25 years and over
25 to 44 years45 to 64 years65 years and over
RACE
WhiteMalesFemales
Mack and otherMalesFemales
MARITAL STATUS
Males, 16 years and over:Married, spouse presentWidowed, divorced, or separatedSingle (never married)
Females, 16 years and over:Married, spouse presentWidowed, divorced, or separatedSingle (never married)
12,7057,6693,0 694,600
79,70012,81766,8 8440,43324,0 79
2.3 72
50,7 036,6944,0671,6452,423
46,6 356,856
39,77923,86714,512
1,401
36,6676,0113,6021.4 252,177
33,0655,961
27,10316,5 669,567
971
77,4 8745*5 1231,975
9,8 825,1904,692
3 4 , 1 5 84,0 64
12,461
19,6 497,0 799,938
4,8601,7051,237
575661
3,622964
2,6591,632
915113
2,415856636322315
1,779486
1,29380342664
2,444848601255347
1,844478
1,367829487
49
4,1492,1012,048
711315396
994214
1,207
1,028399
1,017
10,8763,2832,6781,6701,0088,1981,2686,9313,4772,3071 ,147
3,2531,5121,293
843450
1,960445
1,515466451598
7,6231,7711 ,385
827558
6,238822
5,4163,0111 ,857
549
9,8752,8607,015
1,002393609
1 ,140208
1 ,905
4,56 0983
2,080
71,6337,7173,754
8242,931
67,88010,58557,29435,32420,857
1,112
4 5,0354,3262,138
4801,658
42,8965,925
36,97122,59813,635
739
26,6003,3921,616
3431,272
24,9834,661
20,32012,7267,223
373
63,46340,55122,912
8,1694,4823,687
32,0243,6429,369
14,0615,6976,841
51,1236,0892,986
6732,314
48,1388,065
40,07124,41814,860
793
29,2223,1861,618
3781,240
27,6034,132
23,47014,0548,917
507
71,9022,9021,368
2941,073
20,5343,934
16,59710,3635,9*5
291
44,31225,67518,637
6,8093,5453,264
20,0332,4076,782
11,6794,5045,721
20,5101,628
768151617
19,7422,520
17,22310,9065,997
319
15,8131,140
520102418
15,2 931,793
13,5018,5444,718
237
4,69849024849
1994,449
7273,7232,3631,278
82
19,15114,876
4,275
1,3609 37423
11,9911,2352,587
2,3821,1931,120
38,532.429.323,333.339.437.939.740.239.829.0
41.333.930.724.534.942.239.842.643.242.730.9
34.730.627.721.931.535.435.835.435.835.526.3
38.741.534.5
37.338.935.4
4 2 .4 1 .36 .
3 4 .36 .3 3 .
958
496
42.540.740.339.240.642.641.342.842.942.842.7
43.941.741.239.841.644.042.544.244.344.143. 1
40.239.539.138.339.340.339.840.440.340.34U7
42.744. 140.3
40.841.939.5
44.343.942.3
40.140.839.9
5 9
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 62: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/62.jpg)
HOUSEHOLD DATA
A 30 Persons at work in nonfarm occupations by full- or part-time status and sex[Number! in thousands]
June 1980
Total at workOnpMttinw
part time
Onfutt-t
Total40 hours 41 to 48 49 hours
or more
hours, totalat work
Average hours,
workers on fuH-
Total, 16 years and over.
White-collar workersProfessional and technicalManagers and administrators, except farm .Sales workersClerical workers
Blue-collar workersCraft and kindred workersOperatives, except transportTransport equipment operatives .Nonfarm laborers
Service workersPrivate householdOther service workers .
Males, 16 years and over.
White-collar workersProfessional and technicalManagers and administrators, except farm .Sales workersClerical workers
Blue-collar workers
Craft and kindred workersOperatives, except transportTransport equipment operatives .Nonfarm laborers
Service workersPrivate householdOther service workers .
Females, 16 years and over.
White-collar workersProfessional and technicalManagers and administrators, except farm .Sales workers : .Clerical workers
Blue-collar workersCraft and kindred workersOperatives, except transportTransport equipment operatives .Nonfarm laborers
86,039
46,(15013,28510,2985,684
17,183
29,«0711,8239,6713,193U,720
12,1821,018
11,164
51,201
22,3247,9567,7253, 1493,494
24,17911,1115,8073,0284,233
Service workersPrivate householdOther service workers .
4,69622
4,676
36,836
24,1265,3292,5722,536
13,689
5,2277 12
3,8641654 87
7,483996
6,488
4,925
1,508287158345718
2,135641711201584
1,282159
1,122
2,462
45313310591124
1 ,616597296182542
3932
390
2,462
1,055154S3
254594
51844
4141842
889156732
10,992
5,8391,365
4431,2852,746
1,77840B494179696
3,375450
2,925
3,319
1,212431190294297
1,280337219136588
8274
823
7,672
4,627934253991
2,449
49771
27543
108
2,548446
2,102
72,122
39, 10311,633
9,6974,054
13,719
25,49410,7748,4662,8133,440
7,525409
7,117
45,420
20,6597,3927,4302,7643,073
21,28310,1775,2922,7103,103
?,47816
3,463
26,702
18,4444,2412,2661,291
10,646
4,212597
3,175104337
4,046394
3,654
51,369
27,3158,2604,9122,536
11,606
18,3737,5006,5591,6742,640
5,681275
5,407
29,398
12,1304,8573,4261,5162,330
14,8397,0251,8571,6112,345
2,42911
2,419
21,973
15,1853,4041,4041,0219,277
3,537475
2,70464
296
3,251264
2,988
8,495
4,2941,2571,301
4651,271
3,3981,5421,061
393402
80349
754
5,943
2,55684196534 8403
2,9461,472
717373379
4413
438
2,5.50
1,737416336117868
45170
3441522
36 246
316
12,258
7,4942,1163,4 841,053
842
3,7231,732
846746398
1,04185
956
10,079
5,9731,6943,039
900340
3,4981,680
718721379
6092
606
2,179
1,522421446153501
22452
1272519
43384
350
30,5
39.139.645.136.636.1
39.640.939.342.335.4
33.426.034.1
41.2
43,142.146.542.139.0
40.34 1.140.942.715.7
37.332.137.4
34.6
35.435.84 0.829-735.3
36.537.436. S34.932.8
30.925.931.7
42.5
42.742.446.643.640.0
42.442.741.445.241.5
42.042.742.0
43.9
45.043.747.645.341.6
42.942.842.545.241.7
43.540.743.5
40.2
40.140.043.340.039.5
40.040.639.744.839.9
40.842.840.5
60
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 63: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/63.jpg)
HOUSEHOLD DATA
A-31. Employment status of 14-15 year-olds by sex and race[Numbers in thousands]
Employment status
June 19P0
Both saxes
Civilian noninstitutional population
Civilian labor forceEmployed
AgricultureNonagricultural industries
UnemployedUnemployment rate
Not in labor forceKeeping houseGoing to schoolUnable to workAll other reasons
7,5R9
1,9991,517247
1,2704R2-
24. 1
5,590270
3,R59
1,13790621 169528 123.7
2,67?3 1
1,33a5
1,302
3,730
812611
36575201
24.B
?,91R239
1,3003
1/376
6,302
1,7741,415
23°,1,177
35920.2
4,528226
2,0457
2,250
3,213
1,05684 520264 3211
20.0
2,15730
1,04?4
1,079
3,089
718570
36534148
70-6
2,371196
1,0023
1,171
1,287
225102
994
12354,7
1,06244
589
428
646
131619
5270
53.4
5151
292
223
641
9441
4153
56.4
54743
298
205
Percent not shown where base is less than 75,000.
A-32. Employed 14-15 year-olds by sex. class of worker, and occupation
June 1980
Thousands of persons Percent distribution
CLASS OF WORKER
Total
Nonagricultural industries
Wage and salary workersPrivate household workersGovernment workersOther wage and salary workers
Self-employed workersUnpaid family workers
AgricultureWage and salary workersSelf-employed workersUnpaid family workers
OCCUPATION
Total
White-collar workersProfessional and technicalManagers and administrators, except farm . . . .Sales workersClerical workers
Blue-collar workersCraft and kindred workersOperatives, except transportTransport equipment operativesNonfdrm Idborofs • • • • • • * • • • • • • • •
Service workersPrivate household workersOther service workers
Farm workersFarmers and farm managersFarm laborers and supervisors
1,517
1,2701,165
44063
6618421
247247
3774
1,517
106
20771
3933245
5312
637305332
1937
186
906
69561715346
4196316
211211
3462
906
18184
15019
36129354
293
20522
183
1595
155
611
57554 3288
18243
215
36363
13
611
113
5751
3334
101
19
432283148
343
31
100.0
78. 171.627.0
3.940.65.21.3
15.215.22.34.5
100.0
19.4.7.4
13.64.7
25.92.13.0
• 320.6
42.020. 121.9
12.7.5
12.3
100.0
69.261.515.24.6
41.76.31.6
21.021.03.46.2
100.0
20. 0.9.4
16.52.1
39.83.23.9
.432.3
22.62.4
20.2
17.5. 6
17.1
100.0
91.687.345.9
2.938.7
3.31.05.75.7.5
2.1
100.0
18.5. 3.3
9.38.4
5.4.5
1.6.2
3.1
70.846.424.3
5.6.5
5.1
61
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 64: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/64.jpg)
HOUSEHOLD DATASEASONALLY ADJUSTEDA-33. Employment status of the noninstitutional population by sex and age, seasonally adjusted[Numbers in thousands]
Employment status
1979
July Auq. Sept. Oct. Nov. Dec.
1980
Feb. Mar. Apr. Ray June
TOTAL
Total noninstitutional population !
Armed Forces *Civilian noninstitutional population ' . .
Civilian labor forcePercent of civilian population .
EmployedPercent of total population...
AgricultureNonagricultural industries
UnemployedUnemployment rate
Not in labor force
Males, 20 yean and over
Total noninstitutional population !
Civilian noninstitutional population ' . .Civilian labor force
Percent of civilian population .Employed
Percent of total population...AgricultureNonagricultural industries
UnemployedUnemployment rate
Not in labor force
Females, 20 years and over
Total noninstitutional population *Civilian noninstitutional population ! . .
Civilian labor forcePercent of civilian population.
EmployedPercent of total population...
AgricultureNonagricultural industries
Unemployed
Unemployment rateNot in labor force
Both sexes, 16-19 years
Total noninstitutional population 'Gvilian noninstitutional population ' . .
Civilian labor forcePercent of civilian population.
EmployedPercent of total population...
AgricultureNonagricultural industries
UnemployedUnemployment rate
Not in labor force
163, 4692,076
161,393102,476
63.596,652
59.13,243
93,4095,8?4
5.758.917
69,88968,22754,370
79.752,201
74.72, 305
49,8962, 169
4.013,857
76,89676,78438,653
50.336,457
47.4583
3 5,8 742,196
5.738, 131
16,68416,381
9,45357.7
7,99447.9
3557,6391,45915.4
6,928
163,6852,C82
161,604103,093
63.897, 184
59.43,267
93,9175,909
5.758,511
69,99568,31954,579
79.952,325
74.82,327
49,9982,254
4. 113,740
77,01476,89739,033
50.836,873
4 7.9585
36,2882,160
5.537,864
16,67716,3879,481
57.97,986
47.9355
7,63 11,495
15. 86,906
163,89 12,090
161,801103,128
63. .797,004
59.23,3V5
93,68 96,12 4
5.956,673
70,09968,4175 4,59 7
7 9 . P.52,311
74.62,175
49,9362,2P6
4.213,820
77,17777,00639,304
51. 037,000
48.060 0
36,4002,30 4
5. 937,702
16,66516,3779,227
56.37,69 3
46.234 0
7,35 31,53416.6
7,150
164,1062,092
162,013103,494
63.997,504
59.43,3 64
94,1405,990
5.856,519
70,20568,52254,735
79.95 2,4 53
74.72,377
50,0762,282
4.213,787
77,24577,12439,239
50.937,075
48.06 28
36,4472,164
5.537,8S5
16,65516,367
9,52058.2
7,97647.9
3597,6171,54416.2
6,847
164,4682,093
162,375103,595
63,897,474
59.33,294
94,1806,121
5.958,780
70,38068,69754,760
79.752,443
74.52,371
50,0722,317
4.213,937
77#42977,30839,362
50.937,112
47.9572
36,5402,250
5.737,946
16,65916,3709,47357.9
7,91947.5351
7,5681,55416.4
6,897
164,6622,092
162,589103,652
63.897,608
59.33,385
94,2236,044
5.858,937
70,48768,80454,709
79.552,374
74.32,438
49,9362,335
4.314,095
77,54777,4 2639,445
50.937,248
48.0612
36,6 362, 197
5.637,981
16,64816,3609,49858.1
7,98648.0335
7,6511,51215.9
6,862
164,8982,089
162,809103,999
63.997,912
59.43,359
94,5536, 087
5.958,810
70,59468, 94054,781
79.552,478
74.32,427
50#0512,303
4.214,159
77,66677,54239,659
51.137,402
48.2582
36,8202,257
5.737,883
16,63816,3269,55958.6
8,03248.3350
7,6821,52716.0
6,767
165,1012,081
163,020104,229
63.997,804
59.23,270
94,5 34
*6.258,791
70,6 9569,04754,855
79.452,279
73.92,387
49,89?2,577
4.714,197
77,77977,65639,87R
51.437,574
48.3540
37,0342,30*
5.837,77P
16,62716,3179,4 9758.7
7,95247.8344
7,6081,545
16. .16,820
165,2982,086
163,211104, 260
63.997,953
59.33,326
94,6266,307
6.058,951
70,79269,14055,038
79.652,531
74.22,435
50,0962,507
4.614,102
77,89077,76639,857
51.337,604
48.3567
37,0 372,254
5.737,909
16,61616,3059,36557.4
7,81847.1
3257,4931,54716.5
6,940
165,5062,090
16 3,416104,094
63.797,656
59.03,358
94,2986,438
6.259,322
70,8966 9,23854,996
79-452,300
73.82,394
49,9062,696
4.914,242
78,00577,87639,751
51.037,496
. 48.1582
36,9142,255
5.738,125
16,60616,3029,346
57.37,85947.3
3817,4781,487
15.96,956
165,6932,C92
163,601104,419
63.897,154
56.63,242
93,9127,265
7.059,182
70,98869,32955,114
79.551,868
73.12,320
49,5483,246
78,11077,98140,137
51.537,602
48.1552
37,0512,534
6.337,e44
16,59516,2919,168
56.37,68346.3
37C7,3131 ,485
16.27,123
165,8862,088
163,799105,142
64.296,988
58.53,379
93,6C98,154
7.858,657
71,08369,42855,467
79.951,796
72.92,384
49,4 123,671
6.613,961
78,21978,09040,2*16
51.537,576
48.0616
36,9602,670
6.637,844
16,58416,2819,429
57.97,61645.9
3797,2371,813
19.26,852
166,1052,092
164,013104,542
63.796,537
58.13,191
93,3469,006
7.759,471
71,19069,53255,220
79.451,510
72-42,270
49,2403,710
6.714,312
78,34078,21140,125
51.337,530
47.9541
36,9892,596
6.538,086
16,57516,2719,197
56.57,49745.2
3807,1171,70018.5
7,074
1 The population and Armed Forces figures are not adjusted for seasonalvariations.
NOTE: Detail for the household data shown in tables A-33 through A-42 will not necessarilyadd to totals because of the independent seasonal adjustment of the various series.
62
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 65: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/65.jpg)
HOUSEHOLD DATASEASONALLY ADJUSTED
A-34. Full- and part-time status of the civilian labor force,[Numbers in thousands]
illy adjusted
Full- and part-time employment
1979
July Aug. Sept . Oct. NOT.
1980
Jan. Feb. Mar, Apr. Flay June
FULL TIME
Total, 16 years and over:Civilian labor force
EmployedUnemployedUnemployment rate
PART TIME
Total, 16 years and over:Civilian labor force
EmployedUnemployedUnemployment rate
8 7,50 182,986
4,5155.?
15,06413,76 2
1,3028 .6
e7,7U983,1324,617
5.3
15,44814,1611,287
8.3
87,68582,9584,727
5.4
15,53514,163
1 ,3-̂ 28.8
88,13483,4194,715
5.3
15,27513,9871,2fi8
8.4
8 8,39483,5984,796
5.4
15,16513,8221,343
8.9
88,46983,6 994,770
5.4
15,15813,9061,252
8.3
88,57683,7854,791
5.4
15,41114#1021,309
8.5
«fl,627R3,5815,046
5.7
15,66614,3C21,364
P.7
88,74783,8054,942
5.6
15,55114,168
1,3838.9
80,60483,436
5, 16 85.8
15,39814,123
1,2758.3
89,12183,246
5, 875fc.6
15,29013,927
1,3638.9
89,85283,112
6,7407.5
15,26613,849
1,4179.3
89,15282,532
6,6217.4
15,51114,144
1,3678.8
NOTE: Persons on part-time schedules for economic reasons are included in the full-timeemployed category; unemployed persons arc allocated by whether seek ing full- or part-time work.
A-35. Employment status by race, sex, and age, seasonally adjusted[Numbers in thousands)
Characteristics
1979
June July Aug. Sept. Oct. Nov. Dec.
1980
Feb. Apr. Way June
WHITE
Total, 16 years and over:Civilian labor force
EmployedUnemployedUnemployment rate
Males, 20 years and over:Civilian labor force
EmployedUnemployedUnemployment rate
Females, 20 years and over:Civilian labor force
EmployedUnemployedUnemployment rate
Both sexes, 16 to 19 years:Civilian labor force
EmployedUnemployedUnemployment rate
BLACK AND OTHER
Total, 16 years and over:Civilian labor force
EmployedUnemployedUnemployment rate
Males. 20 years and over:Civilian labor force
EmployedUnemployedUnemployment rate
Females, 20 years and over:Civilian labor force
EmployedUnemployed . .Unemployment rate
Both sexes. 16 to 19 years:Civilian labor force
EmployedUnemployedUnemployment rate
90,21585,775
4,44C4.9
48,52546,831
1,6943.5
33,28831,6491,639
4.9
8,4027,2951,10713.2
12,26010,8871,373
11.2
5,8895,414
4758. 1
5,3514,799
55810.4
1,014674340
33,5
90,65986,1204,539
5.0
48,63446,873
1,7613.6
33,60431,9861,618
4.8
8,4217,2611,160
13.8
12,38611,023
1,36311.0
5,9615,463
4988.4
5,3984,857
54110.0
1,027703324
31.5
90,75985,9764,783
5.3
48,64646,833
1,8133.7
33,87932,126
1,7535.2
8,23 47,0171,217
14.8
12,34310,982
1,36111.0
5,9565,471
4858. 1
5,3954,842
55310.3
992669323
32.6
91,08286,425
4,6S75.1
48,72746,920
1,8073.7
33,35832,223
1,6354.8
8,4977,2821,215
14.3
12,40411,063
1,34110.8
5,9895,510
4798.0
5,3 884,858
5309.8
1,027695332
32.3
91,14786,454
4,6 935.1
48,75246,948
1,8043.7
33,94632,249
1,6975 .0
8,4497,2571,19214.1
12,51211,076
1,43611.5
6,0035,486
5178.6
5,4764,920
55610.2
1,033670363
35.1
91,24286,5714,671
5.1
48,75446,939
1,8153.7
33,97932,310
1,6694.9
8,5097,3221,187
13.9
12,39111,044
1,34710.9
5,9275^429
4988.4
5,4554,937
5189.5
1,009678331
32.8
9 1,57986,8944,635
5.1
1*8,81147,025
1,7863.7
34,20532,492
1,7135 . C
8,5637,3771,186
13.9
12,43211,0241,403
11.3
5,9545,439
5158.6
5,4674,921
54610.0
1,011664347
34.3
91,852R6,8954,957
5.4
48,96446,9502,014
4. 1
34,4 1112,6541,757
5.1
8,4777,2911,18614.0
12,45310,9791,474
11.8
5,9255,358
5679.6
5,4934,944
54910.0
1,035677358
34.6
91,97787,0814,896
5.3
49,17047, 205
1,9644.0
34,44432,668
1,7765.2
8,3637,2071,15613.8
12,36210,9371,42411.5
5,9145,368
5469.2
5,4 144,928
4869.0
1,034642392
37.9
9 1,82186,8224,99 9
5.4
49,09346,9222,171
4.4
34,3813 2,704
1 ,6774 .9
8,3477,1961,15113.8
12,2 6610,8231,443
11.8
5,8835,334
5489.3
5,3944,826
56310.5
99066 3327
33.0
92,08386,3855,698
6.2
19,20146,6102,591
5.3
34,66832,7571,911
5.5
8,2147,0181,19614.6
12,31910,7711,549
12.6
5,8975,254
64310.9
5,4774,852
62411 .4
946664282
29.8
92,53586,148
6,3866.9
49,52546,597
2,9285.9
34,65032,649
2,0015.8
8,3596,9021,45717.4
12,5591C,813
1,74613.9
5,9225,211
71112.0
5,5774,915
66111.9
1,060687373
35.2
92,09685,7926,303
6.8
49,3234 6,3662,957
6.0
34,58932,5e92,000
5.8
8,1836,8371,34616.4
12,44610,751
1,69513.6
5,9455,195
75012.6
5,5084,905
60310.9
993651342
34.4
63
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 66: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/66.jpg)
HOUSEHOLD DATASEASONALLY ADJUSTED
A-36. Major unemployment indicators, seasonally adjusted
[Unemployment rates]
Selected categori1979
July Aug. Sep. Oct. Nov. Pec.
1980
Jan. Feb. Mar. Apr. nay June
CHARACTERISTICS
Total (all civilian workers)Males, 20 years and over . . .Females, 20 years and over .Both sexes, 16-19 years . . .
WhiteBlack and other.
Married men, spouse present . .Married women, spouse presentWomen who head families
Full-time workersPart-time workersUnemployed 15 weeks and over1
Labor force time lost2
OCCUPATION
White-collar workersProfessional and technicalManagers and administrators, except farm .Sales workersClerical workers
Blue-collar workersCraft and kindred workersOperatives, except transportTransport equipment operativesNonfarm laborers
Service workersFarm workers
INDUSTRY
Nonagricultural private wage and salary workers3 .ConstructionManufacturing
Durable goodsNondurable goods
TransportationWholesale and retail tradeFinance and service industries
Government workersAgricultural wage and salary workers
5.74.05.7
15.4
4.911.2
2.75.19.0
5.28.61.16.3
3.42.52.14.44.66.64.37.75.7
10.67.23.2
5.610.05.44.96.33.16.74.73.67.8
5.74.15.5
15.8
5.011.0
2.84.98.1
5.38.31.06.4
3.32.52.03.54.56.84.48.35. 1
11.07.14.2
5.710.05.75.46.23.86.34,93.69.7
5.94.25.9
16.6
5.311,0
2.95.37.9
5.4e . e1 .16.4
3.52.52.34.04.97.34.78.96.2
11.37.13.9
6.010.15.95.46.83.76.55.23.79.9
5.84.25.5
16.2
5.110.8
2 .94 .87 .7
5.38.41.16.2
3.32.42.23.84.57.14.39.06. 1
11.06.74. 1
5.89.66.05.37.14.06.44.73.3
10.0
5.94.25.7
16.4
5 . 11 1 . 5
2.95.28.4
5.48.91.26.4
3.42.72.23.84.77.24.69.15.6
10.76.84.3
5.99.96.05.56.83.86.44.94.09.9
5.84.35.6
15.9
5.110.9
2.94.88.4
5.48.31. 16.4
3.22.41.93.74.47.54.99.05.2
12.26.64.5
5.810.25.95.66.34.26.54.6316
10. 1
5.94.25.7
16.0
5.111.3
2.85.08.4
5.4t-51.26.4
3.32.32.03.84.67.24.49.05.0
12.26.64.3
5.810.35.95.56.44.16.44.73.69.4
6.24.75.8
16.3
5.411.8
3.45.29.2
5.78.71.36.7
3.42.21.94.44.88.04.99.96.9
12.36.94.4
6.210.86.76.76.84.46.64.63.8
10.3
6.04.65.7
16.5
5.311.5
3.15.48.5
5.68.91.26.6
3.42.32.24.54.77.74.39.26.7
12.06.93.9
6.010.56.46.36.74.46.44.64.09.2
6.24.95.7
15.9
5.411.8
3.45.38.7
5.88.31.36.6
3.32.32.44.04.58.05.49.36.6
13.07.14.0
6.213.06.56.46.73.86.34.94.2
10.2
7.05.96.3
16.2
6.212.6
4.15.79.3
6.6B.91.67.5
3.72.42.64.75.19.76.7
11.68.9
14.18.05.0
7.115.17.98.37.44.67.05. 14.4
11.9
7.86.66.6
19.2
6.913.9
4.76.38.3
7.59.31.68.8
3.92.72.74.55.4
11.38.1
14.09.0
15.48.54.8
8.217.59.9
10.58.85.17.65.74.2
11.7
7.76.76.5
18.5
6.813.6
4.96.18.4
7.48.81.78.3
3.72.62.44.45.3
11.58.0
13.810.516.28.14.2
6.316.59.9
11.28.05.28.05.73.59.7
1 Unemployment as a percent of civilian labor force.2 Aggregate hours lost by the unemployed and persons on part-time for economic reasons
as a percent of potentially available labor force hours.3 Includes mining, not shown separately.
A-37. Unemployed persons by duration of unemployment, seasonally adjusted[Numbers In thousands]
Weeks of unemployment
1979
July Aug. Sept. Oct. Nov. Dec.
1980
Jan. Feb. Har. ttay JuneDURATION
Both sexes, 16 years and over:
Less than 5 weeks
5 to 14 weeks15 weeks and over
15to 26 weeks27 weeks and over
Aveiage (mean) duration, in weeks ,Median duration, in weeks
PERCENT DISTRIBUTION
Total unemployedLess than 5 weeks5 to 14 week!15 weeks and over
15 to 26 weekt . . . .27 weeks and over..
2,8801,8081,152
656496
10.55.6
100.04S.331.019.711.28.5
2,8201,9341,067
615452
1C. 16.0
100.048.433.218.31C.67.8
3,1681,73 81,185
658527
10.74.9
100.052.028.519.510.88.7
2,7782,0351,152
644508
10.75.8
100.046.634.119.310.88.5
2,9551,9631,195
678517
10.55.5
100.048.332.119.511.18.5
2,9191,8691,191
660531
10.65.3
100.043.831.319.911.08.9
2,9 161,9661,230
711519
10.55.5
100.047.732.220.111.68.5
3,1841,9071,334
795539
10.55.2
100.049.629.720.812.48.4
2,9952,0811,286
790496
10.75.8
100.047.132.720.212.47.8
2,9952,1691,363
776587
11.05.9
100.045.933.220.911.99.0
3,3092,3911,629
953676
11.35.7
100.045.132.622.213.0
3,8722,6971,7221,014
709
10.55.7
100.046.732.520.812.28.5
3,3332,9221,7661,027
739
11.76.4
100.041.636.422.012.89.2
64
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 67: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/67.jpg)
HOUSEHOLD DATASEASONALLY ADJUSTED
A-38. Rates of unemployment by sex and age, seasonally adjusted
Sexandaoe
1970
June July Aug Sept. Oct. Nov. Dec.
1980
Jan. Feb. Mar. Apr, May June
Total, 16 yean and ovt r . . .
16 to 19 v*art161*17 years16 to 19 years
20 to 24 years26 years and over
25 to 64 years55 years and over
Male*. 16 years and over...
16 to 19 years16 to 17 years18 to 19 years
20 to 24 years25 years and over
25 to 54 years55 years and over
Females, 16 years and over.
16 to 19 years16 to 17 years18 to 19 years
20 to 24 years25 years and over
25 to 54 years55 years and over
5.7
15.417.514.48.93.94 . 12.9
4.9
14.516.814.08.33.23.23.1
6.8
16.518.314.99.74.85.22.8
5.7
15.817.314.59.13.94.03.2
5.1
15.416.114.8
8.83.33.43.3
6.6
16.218.614.29.44.75.03.1
5.9
16.618,515.49.34.04.23.1
5.2
16.318.015.18.83.43.53. 1
7.0
17.019.015.79.64.95.33.2
5.8
16.216.915.69.23.94. 12.9
5.2
16.116.715.38.83.3*3.62.8
6.6
16.417.215.99.64.65.02.9
r.9
16.418.415.0
9.64.04.23.0
5.2
15.717.114.49.53.43.52.8
6.9
17.219.815.69.74.95.23.4
5.8
15.917.314.78.84.04.32.7
5.2
15.817.814.08.43.53.82.6
6.6
16.116.715.59.34.75.02.9
5.9
16.018.014.59.83.84.12.7
5.2
15.617,513.69.43.23.42.6
6.8
16.418.015.510.24.75.12.9
6.2
16.319.014.010.14.24.43.5
5.7
16.219.013.910.43.73.83.5
6.8
16.319.114.29.84.95.23.4
6.0
16.518.715.19.54 .14.52.8
5.5
15.618.014.1
9.93.63.82.6
6.8
17.619.516.29.14.95.43.0
6.2
15.917.414.79-74.44.72.8
5.7
14.815.914.010.43.94.22.7
6.8
17.319.215.69.05.C5.52.9
7.0
16.218.714.411.45.05.43.4
6.7
16.118.314.212.34.75.03.4
7.3
16.319.114.610.25.56.03.4
7,8
19.221.717.712.75.55.93.6
7.7
19.722.017.913.75.35.73.5
7.8
18.721.417.511.65.76. 13.6
7.7
18.519.818.012.45.56.03.4
7.8
19.521.819.313.85.55.83.8
7.5
17.317.616.610.85.66. 12.8
A-39. Unemployed persons by reason for unemployment, seasonally adjusted(Numbers in thousands]
Reason for unemployment1979
June July Auy. Sept. Oct.
1980
Jan. Feb. Nar. Bay June
NUMBER OF UNEMPLOYED
Both sexes, 16 years and over:Job losers
On layoffOther Job losers
Job leaversReentrantsNew entrants
PERCENT DISTRIBUTION
Total unemployedJob losers
On layoffOther job losers
Job leaversReentrantsNew entrants
UNEMPLOYED A t A PERCENT OF THECIVILIAN LABOR FORCE
Job losersJob leaversReentrants
2,449£16
1,633857
1,753781
100.041.914.C28.014.730.013.4
2 . 4
1.7
2 ,526797
1,729R46
1,762726
100.043.113.629.514.430.112.4
2.5.8
1.7• 7
2,680915
1,765875
1,788745
100.044.015.029.014.429.412.2
2.6
1.7. 7
2,632855
1,777825
1,760801
100.043.714.229.513.729.213.3
2.5.8
1.7.fl
2,731929
1,802835
1,762804
100.044.515.229.413.628.713.1
2.6.8
1.7.8
2,729987
1,742845
1,698736
100.045.416.429.014.128.312.3
2.6.8
1.6.7
2,728944
1,784800
1,771858
100.044.315.329.013.028.813*9
2.6.8
1.7.8
2,9881,0191,969779
1,797811
100.046.916.030.912.228.212.7
2.9.71.7.8
2,9071,0311,876
8131,784
827
100,045.916.329.612.828.213.1
2.8.8
1.7.8
3,0471, 1291,918
7881,80 3
805
100.047.317.529.812.228.012.5
2.9.8
1.7
3,6111,4242,188
9261,967
743
100.049.819.630.212.P27.110.3
3.5.9
1.9.7
4,3011,9442,357
9922,015
88 4
100.052.523.728.812. 124.610.8
4.1.9
1.9. 8
4,6252,1172,508
8981,822
663
100.056.325.830.610.922.210.5
4.4.9
1.7. 8
6 6
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 68: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/68.jpg)
HOUSEHOLD DATASEASONALLY ADJUSTED
A-40. Employed persons by sex and age, seasonally adjusted
[In thousands]
Sex and age
1979
June July Aug. Sept. Oct. NOV. Dec,
1980
Jan. Feb. Mar. Apr. Hay
Total, 16 years andover
16to19years16 to 17 years18 to 19 years
2Q to 24 years25 years and over
26 to 54 years55 years and over
Mates. 16 years andover
16 to 19 years16to 17 years18 to 19 years
20 to 24 years25 years and over
25 to 54 years55 years and over
Females, 16 years andover
16 to 19 years16 to 17 years18 to 19 years
20 to 24 years25 years and over
25 to 54 years56 years and over
96,652
7,9943,2524,704
13,85974, 66460,5521 4 , 3 0 5
56,477
4,2761,7542,4897,530
44,68135,921
8,767
40,175
3,7181,4982,2156,329
30, 18324,631
5,538
97,18 4
7,9363,2424,725
13,91075,29060,98614,304
56,570
4,2451,7432,4357,510
44,80636,020
8,789
40,6 14
3,7411,4992,2406,400
30,48424,966
5,515
97,004
7,69 3?,04 84,623
13,34975,43661,08 214,39 9
56,408
40,59 6
3,59 61,4162,1786,351
3C,61825,120
5,56 8
97,5 04
7,9763,3354,665
13,94975,61661,20814,381
56,7 14
4,C971,6322,4457,49 6
44,81835,962
6,83 1
4 ,1 ,2.7 ,
4 4 ,3 6 ,
e.
2618394525909 12052844
4C.790
3,7151,4962,2136,359
3 0,7C425,1565,5 37
97,474
7,9193,2514,674
13,87575,72861,30214,417
56,629
4,1861,7582,4 307,531
44,92436,100
8,793
40,845
3,7331,4932,2446,344
30,80425,202
5,624
97,608
7,9863,3154,694
13,92075,65061,28114,368
56,580
4,?061,7552,4627,533
44,79636,020
8,782
41,028
3,7801,5602,2326,387
30,85425,261
5,586
97,912
8,0323,3204,717
13,83776,03061,68614,350
56,734
4,2561,7832,4777,498
44,96636,2068,759
41,178
3, 7761,53 72,24C6,339
31,06425,480
5, 591
97,304
56,486
4,2071,7452,47R7,441
44,38336,1618,723
41,318
97,953
7,3 ,<*,
1 3 ,7 6 ,6 1 ,14 ,
9522477 2 f81908079929?
7,8183,1204,722
13,84 676,29561,81514,464
56,732
4,2011,7192,4947,477
45,07036,136
8,904
41,221
3 ,1 ,2 ,6 ,
3 1 ,2 5 ,
5 ,
7445022483 77197638569
3126
3125
5
,617,401,228,369,225,679,560
97,656
7,8593,1854,660
13,74976,01261,71914,326
56,601
4,3011,8042,4987,453
44,83336,036
8,8 42
41,054
3,5581,3812, 1726,296
3 1 , 17825,6835,484
97,154
7,6833.,0394,640
13,62475,80761,56414,298
55,998
4,13C1,6612,4717,294
44,55735,818
8,764
41,156
3,5541,3782, 1696,331
31,25025,7465 ,533
96,988
7,6163,0 334,566
13,57575,81061,41614,325
55,823
4,0271,6342,3957,309
44,53535,747
8,784
41,165
96,537
7,4973,03fl4,440
13,37675,73361,44314,277
55,457
3,9471,6082,3157,106
44,42235,707
8,728
41,079
3,5891,3992,1716,266
31,27525,6695,541
3 ,1 ,2 ,6 ,
3 1 ,2 5 ,
5 ,
549430125270311735549
A-41. Unemployed persons by sex and age, seasonally adjusted(In thousands]
Sex and age
Total. 16 years andover
16 to 19 years16 to 17 years18 to 19 years
20 to 24 years25 years and over
25 to 54 years55 years and over. . .
Mates. 16 years andover
16 to 19 years . .16 to 17 years
18 to 19 years20 to 24 years25 years and over
25 to 54 years55 years and over. . .
Females. 16 years andover
16 to 19 years - . .
16 to 17 years18 to 19 years . . . . .
20 to 24 years25 years and over
. 25 to 54 years55 years and over. . .
1979
June
5,824
1,459690791
1, 3593,0052,56 2
434
2,893
724355404632
1,4831,201
276
2,931
735335387677
1,5221,361
158
July
5,909
1,49567680 3
1, 3863,0412,567
478
3,027
773334431723
1,5311,252
302
?,88 2
722342372663
1,5101 ,315
176
Aug.
6,124
1,53469 084 1
1,4153,1552,69 7
46 7
3,083
79 735843 672 4
1,57 51,29 9
28 3
3,04 1
73 733 240569 1
1,5801,398
184
Sept.
5,.9 90
1,5446 80860
1,4133,0 362,647
422
3,098
8 163704 42734
1,5521,3 27
254
2,892
728310418679
1,4841,320
168
Oct.
6,121
1,554732825
1 ,4703, 1402,698
449
3,098
781363410789
1,5651,322
254
3,023
773369415681
1,5751,376
195
Nov.
6,044
1,512692811
1 ,3463, 1682,7 44
4 03
3,124
789380402692
1,6421,405
237
2,920
7233124 09654
1,5261,339
166
Dec.
6,087
1,5 277 28802
1, 5053,0402,650
400
3,089
786390391782
1,5051,282
231
2,998
7413384 1 1723
1,5351,368
169
1980
Jan.
6,425
1,545764772
1,5543^3262 , e i 8
512
3,392
815410399860
1,7191,410
314
3,0 34
7303543736 94
1,6071,408
198
Feb.
6,307
1,547716841
1 4583*3002,899
412
3,283
lift1 «O377411817
1,6801,435
242
3,025
771339430641
1,6211,465
170
Har.
6,433
1,4876 7 1806
1 4823#,4633,064
410
3,441
*7|i C
342405863
1,8 261,573
246
2,997
742320401620
1,6371,491
165
Apr.
7,265
1,485698780
t -jn p1 , /*• O
4,0293,5t8
503
4,C4C
"7<lfl
373409
1,0282,2141,886
311
3,225
691325371721
1,8151,631
192
May
8,154
1,813841983
1 OP 0I , 7O Z
4,3743,836
529
4,656
985461521
1,1632,5002,155
322
3,498
8 28380462819
1,8741,682
207
June
8,006
1,7007529 76
« A QO1 , O JO4,4233,900
5C8
4,669
959447553
«,1382,5732,217
347
3,337
741305423761
1,8501,684
162
66
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 69: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/69.jpg)
HOUSEHOLD DATASEASONALLY ADJUSTED
A-42. Employed persons by selected social and economic categories, seasonally adjusted[In thousands]
1979
June July Aug. Sept. Oct. ROT. Dec.
1980
Jan. Feb. Apr. Bay June
CHARACTERISTICS
Total, 16 yaws and overMarried man. spouse present . .Married women, spouse present
OCCUPATION
White-collar workersrTQTvaelOnBI eYiQ lOCnnlCSI • • •
Managers and administrators,except farm
Sales workersClerical workers
Blue-collar workersCraft and kindred workers . .Operatives, except transport .Transport equipment
operativesNonfarm laborers
Service workersFarm workers
96,65239,07922,664
1 0 ,
6 ,
1 7 ,
1 2 ,
3 ,4 ,
1 ? ,
2 ,
534103
9920 'jq
804
605
805179
MAJOR INDUSTRY AND CLASSOF WORKER
Agriculture:Wage and salary workersSelf-employed workersUnpaid family workers
Nonagricultural industries:Wage and salary workers
Government • • • • • •Private industries
Private householdsOther industries
Self-employed workersUnpaid family workers
PERSONS AT WORK1
Nonagricultural industries 87,749Full-time schedules 7 2 , 2 4 3Part-time for economic reasons 3,284
Usually work full-time 1 , 3 2 2Usually work part-time 1,962
Part time for noneconomicmasons 12,222
1,4231,539
291
86,30915,31870,991
1,23569,7566,629
474
97,18439,17622,908
49,53615,057
10 , 61 26,16?
17,70432,05112,37510,994
3,6 27a,664
12,7662,678
1,4191,558
291
86,45415,39371,061
1,21969,8426,752
519
88,76972,9153,2741,3341,940
12,580
97,00439,18022,8f9
'19,66 315,06 0
10,69 8o,1'45
17,75 231,H4 912,76110,90°
3,6044,575
1,3841,614
310
36,42115,27971,142
1,21169,9316,689
450
38,85573,0533,2981,4011,897
12,504
97,50439,19822,937
49,81515,141
10,6596,181
17,83532, 20912,99310,964
3,6174,635
12,3592,722
1,3991,642
325
86,91215,40771,505
1,31370,192
6,731449
88,72373,159
3, 1671,2731r894
12,397
97,47439,12422,919
4 9,73 815,05 7
10,6396,26117,7«132,20513,00110,967
3,59 3
12,^372,695
1,3811,602
313
86,98215,42371,559
1,26170,298
6,812430
88,63873,204
3,3151,3541,961
12,119
97,60838,84522,940
49,91215,131
10,6176,362
17,80232,11012,92510,963
3 ,o284,594
12,8992,713
1,4751,622
310
97,91238,92423,027
49,91115,272
10,5356,34 6
17,75832,30213,0411 1,04 2
3,6354,5842,9702,694
1,4511,596
310
87,020 8715,35871,662
1,21170,451
6,781417
,38415,39771,987
1,22870,7596,737
409
B8,61772,9973,3921,4131,979
12,228
B9,18073,137
3,5191,4912,028
12,524
97,80438,74923,111
50,31315,337
10,6086,452
17,91531,88212,81410,678
3,6164,774
12,9792,660
1,4281,554
293
87,57815,41472,163
1,13271,0316,752
379
89,45473,2233,5131,5491,964
12,718
97,95338,95523,178
50,44S15,444
10,9716,165
17,84831,75412,7281C,661
3,5714,795
13,0802,764
1,4171,648
283
87,41915,54071,879
1,17870,7026,899
397
88,98573,1103^4061,3802,026
12,469
97,65638,74523,202
50,30215,3 97
10,7556,113
18,03731,67012,76710,579
3,5584,767
12,9812,733
1,4491,600
300
87,22115,62271,5991,115
70,4846,825
376
88,58572,7493,4181,4631,955
12,418
97,15438,34223,080
50,40515,542
10,7455,<388
18,12931,12712,7731C,408
3,4834,463
13,0342,658
1,3701,591
281
86,74115,66871,072
1,12369,9496,813
363
87,66071,»073,8161,7092,107
12,037
96,98838,14723,155
50,60615,551
10,8826,022
18,15230,68112,52310,336
3,4214,402
12,9322>745
1,4051,662
289
86,63115,79970,832
1,20669,6256,648
411
B7,68071,224
4,3492,0642,285
12,106
96,53738,19323,144
50,86115,712
10,9115,98118,25630,24312,30110,131
3,3954,416
12,9302,606
1,3651,590
269
86,25715,89170,365
1,21969,147
6,666445
87,91071,2063,9991,7812,217
12,706
1 Excludes persons "with a job but not at work" during the survey period for such reasonsas vacation, illness, or industrial dispute.
6 7
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 70: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/70.jpg)
HOUSEHOLD DATA
A-43. Employment status of male Vietnam-era veterans and nonveterans by age
(Numbers in thousands)
Veteran statusand age
VETERANS1
Total, 20 years and over20 to 24 years
25 to 39 years
30 to 34 years
NONVETERANS3
Total, 25 to 39 years25 to 29 yean30 to 34years35 to 39 years
Civiliannoninsti'tutional
population
J u n e1979
8,527563
7,1221,9733,6021,547
842
14,5426,6424, 1713,729
June1980
8,605347
7,2671,7223,5821,963
991
15,4387,0714,5613,806
Notsaasw
ChrUia* labor force
Total
J u n e1979
«,124529
6,88 41,8823,4951,507
711
13,8436,3313,9663,546
June1980
«,201336
7,0111,624.3,4761,911
854
14,645*,6964,3533,596
Employed
June1979
7,82?484
6,6591,7843,3931,482
685
13,3906,0803,8623,448
June1980
7,668290
6,5521,4443,2901,818
826
13,7436,1644,1173,462
Unemployed
Number
June1979
29645
22598
1022526
453251104
98
June1980
53346
45918Q1869328
902532236134
Percentof
laborforce
June1979
3 , 6R.5
3-35.?2.91.73 . 7
3.34.02,62.8
June1980
6 . 513,7
6.511. 15.44.93 . 3
6*27*95.43.7
1 Vietnam-era veterans are those who served between August 5,1964 and May 7.1975.3 Nonveterans are males who have never served in the Armed Forces. Published data are limited
to those 25-39 years of age, the group that most closely corresponds to the bulk of the Vietnanveraveteran population.
68
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 71: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/71.jpg)
HOUSEHOLD DATASEASONALLY ADJUSTEDQUARTERLY AVERAGES
A-44. Employment status of the noninstitutional population by sex, age. and race, seasonally adjusted
[Numbers in thousands)
1977
II III IV
1978
II III IV
1979
II III IV
1980
II
TOTAL
Total noninstitutional population'ArmwJ For C M 1 .Civilian noninstitutionat population1...
Civilian labor for«aPercent of civilian population .
Employ*!Percent of total population...
AgricultureNonagricultural Industrie*
Unemployed
Malts, 20 years and ovar
Total noninstitutional population1
Civilian noninstitutional population1..Civilian labor force
Percent of civilian populationEmployed
Percent of total population..Agriculture .'Nonagricultural industries
UnemployedUnemployment rate
Females. 20 years and over
Total noninstitutional population1
Civilian noninstitutional population1..Civilian labor force
Percent of civilian populationEmployed
Percent of total population .Unemployed
Unemployment rate
Both sams, 16-19 years
Total noninstitutional population1
Civilian noninstitutional population1..Civilian labor force
Percent of civilian populationEmployed
Percent of total population .Unemployed
Unemployment rate
Total noninstitutional population'Civilian noninstitutional population1...
Civilian labor forcePercent of civilian population.
Percent of total population...Unemployed
Unemployment rate
Total noninstitutional population1
Civilian noninstitutional population1...Civilian labor force
Percent of civilian population.Employad
Percent of total population...Unemployed
Unemployment rate
158,2232,130
156,09497,135
62.290,188
57.03,318
86,8696,948
7.2
67,32165,63552,293
79,749,522
73.62,338
47,1842,770
5. 3
74, 07973,98435,581
48.133,092
44.72,488
7.0
16,82316,4759,26256.2
7,57345.0
1,68918.2
139,084137,33385,924
62.680,424
57.85,500
6.4
19,13918,76111,196
59.79,76251.0
1,43412.8
158,8982,135
156,76497,638
62.390,913
57.23, 195
87,7186,726
6.9
67,64165,94952,487
79.649,878
73.72,300
47,5782,609
5.0
74,42974,33135,834
48.233,361
44.82,473
6.9
16,82816,4849,31756.5
7,67445.6
1,64317.6
139,620137,87086,286
62.681,081
58.15,205
6.0
19,27918,69411,340
60.09,80050.8
1,54013.6
159,5312,13 2
157,39998,584
62. 692,108
57.73,29 1
88,8176,476
6.6
67,95166,26152,938
79.950,445
74.22,326
48,1192,493
4.7
74,77074,67136,276
48.633,841
45.32,435
6.7
16,81016,4689,37 056.9
7,82 246. 5
1,54 ft16.5
140,107138,36487,048
62.982,093
56.64,955
5.7
19,42419,03511,555
60. 710,030
51. 61,52 5
13.2
160,1262,122
15 8,0 0499,136
62.792,954
58.13,324
8 9,6 306,182. 6.2
6 8,23866,55653,090
79.850,698
74.32,341
48,3572,392
4.5
75,09474,99436,687
48.934,484
45.92,2C4
6.0
16,79416,4549,35856.9
7,77246.3
1,58616.9
140,568138,8 3987,360
62.982,635
58.84,725
5.4
19,55719,16411,773
61.410,313
52,71,4 6012.4
160,7152, 110
158,605100, 173
63 . 294,145
58.63,336
90,8096,028
6.0
68,52066,84453,374
79.851,133
74.62,360
48,7732,241
4.2
75,41375,31037,265
49.535,002
46.42,263
6.1
16,78216,4529,534
57.98,010
47.71,52416.0
141,028139,32388,249
63.383,665
59.34,584
5.2
19,68719,28211,909
61.810,480
53.21,42912.0
161,355; , 120
159,235100,777
63.394,734
58.73,367
91,3676,043
6.0
68,83167,13453,465
79.651,282
74.52,382
48,9012,182
4.1
75,75675,64937,657
49.835,362
46.72,295
6.1
16,76816,4529,65658.7
8,09048.2
1,56516.?
141,526139,82288,739
63.584,111
59.44,6 28
5.2
19,8 2919,41312,034
62.010,611
53.51,42311.8
162,0372,115
159,922101,538
63.595,653
59.03,331
92,3235,385
5.8
69,18467,48953,886
79.851,73"
74.82,353
49,3832,149
4.0
76, 11276,00338,041
50,135,863
47.12,178
5.7
16,74216,4299,6 12
5 8.58,054
48. 11,55816.2
142,034140,33689,424
63.784,930
59.84,494
5.0
20,00319,58512,131
61.910,742
53.71,38911.5
162,6632,093
160,570102,315
63.796,425
59.33,296
93,1305,890
5.8
69,49167,82754,2 85
80.052,129
75.02,327
49,8012,156
4.0
76,45576,34538,393
50.336,190
47.32,203
5.7
16,71716,39P9,637
58.88,106
48.51,53015.9
142,521140,85790,161
64.085,65*
60.14,503
5.0
20,14219,71312,172
61.710,781
53.51,39111.4
163,2602,079
161,181102,357
63.596,467
59.13,235
93,2325,890
5.R
69,78668,12354,299
79.752,136
74.72,300
49,8362,163
4.0
76,78276,67038,562
50.336,361
47.42,201
5.7
16,69216,3899,49657.9
7,97047.7
1,52616.1
142,977141,33090,110
63.885,635
59.94,476
5.0
20,28219,85112,223
61.610,823
53.41,400
11.5
163,8942,083
161,806103,233
63.897,231
59.33,315
93,9156,008
5.8
70,10068,41954,637
79.952,363
74.72,360
50,0 032,274
4.2
77,12077,00939,192
50.936,983
4 7 . 92,209
5.6
16,66616,3779,40957.5
7,88547.3
1,52416.2
143,462141,82190,833
64.086,174
60.14,660
5.1
20,43219,98512,378
61.911,023
53.91,355
10.9
164,6822,091
162,591103,749
63.897,665
59.33,346
94,3196,084
5.9
70,48768,81454,750
79.652,432
74.42,412
50,0202,318
4.2
77,54777,42539,489
51.037,254
48.02,235
5.7
16,64816,3529,51058.2
7,97947.9
1 ,53116.1
144,102142,46891,323
64.186,640
60.14,683
5.1
20,58120,12312,445
61.811,048
53.71,397
11.2
165,3022,086
163,216104,194
63.897,804
59.23,318
94,4866,390
6.1
70,79469,14254,963
79.552,370
74.02,405
49,9652,593
4.7
77,89177,76639,829
51.237,558
48.22,271
5.7
16,61616,3C89,40357.7
7,87647.4
1,52616.2
144,574142,95791,883
64.336,933
60. 14,950
5.4
20,72820,25912,360
61.010,913
52.71,447
11.7
165,8952,091
163,804104,701
63.996,893
58.43,271
93,6227,808
7.5
71,08769,43055,267
79.651,725
72.82,325
49,4003,542
6.4
78,22378,09440,169
51.437,569
48.02,600
6.5
16,58516,2819,26556.9
7,59945.8
1,66618.0
145,022143,4089 2,238
64.386,109
59.46,129
6.6
20,87220,39712,441
61.010,778
51.61,663
13.4
1 The population and Armed Force* figures are not adjusted for seasonal variations. NOTE: Detail for the household data shown in tables A-44 through A-53 will notnecessarily add to totals, because of the independent seasonal adjustment of the various series.
69
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 72: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/72.jpg)
HOUSEHOLD DATASEASONALLY ADJUSTEDQUARTERLY AVERAGES
A-45. Full- and part-time status of the civilian labor force by sex and age, seasonally adjusted
[Numbtrs in thousands)
Full- and part-time employmentstatus, wx, and aga
1977
TTI IV
1978
II III IV
1979
Til
1900
IT
FULLTIME
Total. 16 years and over:Civilian labor force
Employed'UnemployedUnemployment rate
Males. 20 years and over:Civilian labor force
Employed1
Unemployment rate .
Females, 20 years and over:Civilian labor force
Employed*UnemployedUnemployment rate .
Both sexes, 16-19 years:Civilian labor force
Employed1
UnemployedUnemployment rate
PART TIME
Total, 16 years and over:Civilian labor force . . .
Employed1
UnemployedUnemployment rate
Males. 20 years and over:Civilian labor force . . .
Employed1
UnemployedUnemployment rate
Females. 20 years and over:Civilian labor force . . . .
Employed1
UnemployedUnemployment rate .
Both sexes. 16-19 years:Civilian labor force
UnemployedUnemployment rate .
82,71177,2065,505
6,7
49,63117,0832,548
5. 1
28,02626,0162,010
7.2
5,054*l, 1 07
94718.7
14,42112,9701,451
10. 1
2,6872,455
232ft.6
7,5457,064
4806.4
«,1903,451
73917.6
83,24977,8*85,3f 1
6.4
49,78947,3572,432
4.9
28,34326,3312,012
7. 1
5,1174,200
91717.9
14,41413,0411,373
9.5
2,7072,511
1967.2
7,4927,036
4556.1
4,2163,49 3
72217.1
83,82178,7045,118
6. 1
50,18947,8962,293
4.6
28,50026,547
1,9536.9
5,1324,261
87117.0
14,74013,377
1,3639.2
2,7472,540
2087.6
7,7547 , 28 3
4716. 1
4,2393,555
68416. 1
84,39979,5464,853
5.8
50,33?48,155
2,17*4.3
29,00727,205
1,8026.?
5,0604,187
87317.3
14,70913,383
1,3269.0
2,7342,537
1977.2
7,6947,277
417
4,2803,569
71216.6
85,25080,5744,676
5.5
50,65848,5982,06 1
4.1
29,35127,557
1,7946.1
5,2404,419
82115.7
14,91813,5611,357
9.1
2,7492,563
1876.8
7,9107,440
4716.0
4,2583,558
70016.4
85 , 97881,2634,715
5.5
50,76748,7612,006
4.0
29,83027,995
1,8346.1
5,3824,506
87516.3
14,81613,4901,326
8.9
2,6852,503
1826.8
7,8367,382
4545.8
4,2953,605
68916. 1
86,43481,909
4,5255.2
51,18349,212
1,9713.9
?0,09628,410
1,6865.6
5,1554,287
86816.8
15,06413,70 8
1, 3569.0
2,6982,518
1806.7
7,9227,444
4786.0
4,4443,74 6
69815.7
87,20382,6694,530
5.2
51,61249,633
1,9793.9
30,3 6728,646
1,7225.7
5,2294, 391
8 3816.0
15,09713,744
1,3549.0
2,6712,502
1696.3
8,03B7,541
4976.2
4,3883,701
68815.7
87,U3782,875
4,56 25.2
51,68?49,687
1,9953.9
28,8701,745
5.7
5,1404, 318
82?16.0
14,94413,617
1, 327
2,6492,477
1726.5
7,9507,495
4555. 7
4, 34 53,645
70016.1
87,85683,1704,686
5.3
51,36349,769
2,0914.0
30,9 36?.9,191
5,0604,209
85016.8
15,41914,104
1,316B.5
2,7632,577
1876.8
8,2717,»15
456
4,3853,712
67315.3
38,480*3,6<>44,786
5.U
51,9804 9,8?4
2,1564. 1
31, 29129,53 8
1 , 7F 35.6
5,?04,332
P.7716.8
15,24*13,9U3
1,3018.5
2,7612,59 4
1676.0
8, 1767,705
47?5. P
4,308
15.4
38,f>5983,6075,052
5.7
T2,O1549 ,6152,399
4 . 6
31,541?9,76?.
1 ,7735.6
5,1044,230
87517.1
15,51814,190
1,341A.6
2,9232,738
1856.3
8,3257,815
5106.1
»,2903,644
64615.1
80,37582,9636,412
1.2
52,46149,122
3,3406.4
31,97229,867
2,1056.6
4 , 9 4 23,975
96719.6
15,35613,973
1,3829.0
2,R502,652
1987.0
8, 1717,683
4886.0
4,3353,639
6961 6 . 1
1 Persons on part-time schedules for 1 s arc included in the full-time cm-ployed category; unemployed persons arc allocated by whether seeking full- or part-time work.
NOTE: The January and April 1960 Issues contained erroneous data for thefull-time civilian labor force, males and females 20 years and over and bothsexes, 16-19 years. Corrections have been made in this table.
7 0
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 73: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/73.jpg)
HOUSEHOLD DATASEASONALLY ADJUSTEDQUARTERLY AVERAGES
A-46. Employment status by race, sex, and age, seasonally adjusted[Numbers in thousands]
1977
II III IV
1978
II III IV
1979
I I I I I IV
1980
Total, 16 years and over:Civilian labor force . . . .
EmployedUnemployed
Unemployment rate
Males, 20 years and over:Civilian labor force . . .
EmployedUnemployedUnemployment rate
Females, 20 years and over:Civilian labor force
EmployedUnemployedUnemployment rate .
Both sexes, 16 to 19 years:Civilian labor force
EmployedUnemployedUnemployment rate .
BLACK AND OTHER
Total, 16 years and over:Civilian labor force
EmployedUnemployedUnemployment rate
Males, 20 years and over:Civilian labor force
EmployedUnemployedUnemployment rate
Females, 20 years and over:Civilian labor force
EmployedUnemployedUnemployment rate
Both sexes, 16 to 19 years:Civilian labor force
EmployedUnemployedUnemployment rate
85,92480,42<l5,500
6.4
46,81544,577
2,2384.8
30,78228,856
1,9266.3
3,3276,9911,336
16.C
11,1969,7621,43412.8
5,4954,968
5279.6
4,7874,224
56311.8
91457C344
37.7
86,28681,0815,205
6.0
47,01844,9742,044
4.3
30,95829,042
1,9166.2
8,3107,0641,246
15.0
11,3409,8001,540
13.6
5,4824,895
58710.7
4,8554,300
55511.4
1,003605398
39.7
87,04882,0934,955
5.7
47,36645,420
1,9464. 1
31,32229,478
1,8455.9
8,3597,1951,164
13.9
11,55510,0101,525
13.2
5,5655,019
5469.8
4,9734,384
58911.8
1,017626391
38.4
87, 36082,6354,725
5.4
47,42045,547
1,8733.9
31,60329,9441,659
5.2
8,3367,1441, 19314.3
11,77310,3131,460
12.4
5,6615,144
5169.1
5,0894,539
55010.8
1,024630394
38.5
88,24983,665
4,5845.2
47,67845,941
1,7373.6
32,09630,389
1,7085.3
8,4747,3351,13913.4
11,9091C,4801,429
12.0
5,7075,211
4968.7
5,1594,605
55410.7
1,043663379
36.4
88,73984,111
4,6285.2
47,74546,036
1,7093.6
32,40830,674
1,7 345.3
8,5877,4011,18613.8
12,0 3410,6111,423
11.8
5,7255,242
4838.4
5,2354,674
56010.7
1,075695380
35.4
89,42484,930
4,4945.0
48,04746,383
1,6643.5
32,81831,179
1,6395.0
8,5607,3691,191
13.9
12,13110,742
1,38911.5
5,8275,347
4808.2
5,2444,706
53810.3
1,061689371
35.0
90,16185,658
4,5035.0
48,46446,794
1,6703.4
33,11831,459
1,6595.0
8,5797,4041,174
13.7
12,17210,781
1,39111.4
5,8305,337
4948.5
5,2774,732
54510.3
1,064712353
33.1
90,11085,6354,476
5.0
48,44946,783
1,6663.4
33,23231.582
1,6505.0
8,4 307,2701,160
13.8
12,22310,823
1,40011.5
5,8535,365
4888.3
5,3214,772
54810.3
1,050686364
34.7
90,83386, 1744,660
5.1
48,66946,375
1,7943.7
33,78032,112
1,6694.9
8,3847,ie71,197
14.3
12,37811,023
1,35510.9
5,9695,481
4 878.2
5,3944,852
54110.0
1,015689326
32.1
91,323ee,64G4,683
5.1
48,77246,971
1,8023.7
34,04332,350
1,6935.0
8,5 077,3191,188
14.0
12,44511,048
1,39711.2
5,9615,451
5108.6
5,4664,926
5409.9
1,018671347
34.1
91,88386,9334,950
5.4
49,07547,026
2,0504.2
34,41232,675
1,7375.0
8,3967,2311,164
13.9
12,36010,913
1,44711.7
5,9075,353
5549.4
5,4344,899
5349.8
1,020661359
35.2
92,23886,1096,129
6.6
49,35046,524
2,8265.7
34,63632,665
1,9715.7
8,2526,9191,33316.2
12,44110,778
1,66313.4
5,9215,220
70111.8
5,5204,891
6291 1 . 4
1,O0C667332
33.2
71
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 74: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/74.jpg)
HOUSEHOLD DATASEASONALLY ADJUSTEDQUARTERLY AVERAGES
A-47. Major unemployment indicators, seasonally adjusted
(Unemployment rates]
1977
I I I I I IV
1978
I I I I I I V
1979
I I I I I IV
19flO
I I
CHARACTERISTICS
Total (all civilian workers)Males. 20 years and overF 6 f V M l M # 2 0 y t f l f S flfKi O V # T • • • • • • • • • • • • • * • • •
Both sexes, 16-19 yean
WhiteBlack and other
M M T I 6 O I H # O » S P O U M p T O M D t • • • * • • «
Msrrwd woffttn, spous* presentWonwn wno IWeXl TMIHWS
Full-time workersPart-time workersi / n s i t i f N o y o o i o m v i u * n a o v t r • • • • •
Labor force time lost3
OCCUPATION
White-collar workersProfessional and technicalManagers and administrators, except farm . .Sales workersClerical workers
Blue-collar workersCraft and kindred workersOperatives, except transportTransport equipment operativesNonfarm laborers
Service workersFarm workers
INDUSTRY
Nonagricultural private wage and salary workers2
ConstructionManufacturing
Durable goodsNondurable goods
Transportation and public utilitiesWholesale and retail tradeFinance and service industries
Government workersAgricultural wage and salary workers
7.25.37.0
18.2
6.412.8
3.66.79.2
6.710.1
2.07.6
4.33,22.95.35.88.15.69.a6.5
12.48.54.8
7.113.0
6.66.07.54.58.16.24.1
11.9
6.95.06.9
17.6
6.013.6
3.46.49.7
6.49.51.97.4
4. 12.92.55.15.77.95.49.56.4
11.58.04.3
6.811.7
6.76. 17.54.77.95.74.19.9
6.64.76.7
16.5
5.713.2
.1.36.28.9
6.19.21.87.2
4. 12.82.74.95.67*45.19.05.8
11.17. e4.2
6.511. 1
6.25.76.94.67.55.74.29 . e
6.24.56.0
16.9
5.412.4
3.05.58.2
5.89.0
6.7
3.62.72.24.24.97.25.08.45.3
11.57.54.2
6.211.05.75.26.53.87.25-33.R9.6
6.04.26.1
16.0
5.212.0
2-85.59.3
5.59 .11.46.5
3.62.62.04.35.26.74.58.15.39.87.53.4
5.99.95.64.96.53.96.85.14.08.1
6.04. 16.1
16.2
5.211 .3
2.75.6fl.6
5.58.91-36.6
3.62.52.14.25.06.34.58.25.3
10.37.33.7
5.910.45.45.06.03.76.75.23.9e.7
5.34.05.7
16.2
5.011.5
2.55.47.7
5.29.01.26.2
3.32.72.03.74.56.64.47.64.9
10.97.33.P
5.711.0
5.14.56.03.36.74.93.98.5
5.84.05.7
15.9
5.01 1 . 4
2.65.38.2
5.29.01.26.2
3.42.42.04.14.76.54.57.85.19.87.43.2
5.610.4
5.14.46.13.66.54.93.98.0
5.84.05,7
16.1
5.011.5
2.65.28.6
5.28.91.26.3
3.32.32.24.14.56.34.38.15.6
10.87.33.4
5.710.2
5.44.76.53.26.54.83.68.6
5.84.25.6
16.2
5.110.9
2.95.07.9
5.38.51. 1€.3
3.42.52.23.84.67.14.58.75.8
11.17.04.0
5.99.95.95.46.73.£6.44.93.59.8
5.94.25.7
16.1
5.111.2
2.95.08.4
5.48.51.26.4
3.3
2.03.84.67.34.69.05.3
11,76.74.4
5.910.1
5.95.56.54.06.44.73.B9.8
6.14.75.7
16.2
5.411.7
3.35.38.8
5.7€.61.36.7
3.42.32.24.34.77.95.09.46.7
12.47.04.1
6.111.4
6.56.46.74.26.44.74.09.9
7.56.46.5
18.0
6.613.4
4.66.18.7
7.29.01.68.2
3.82.62.64.55.3
10.97.6
13.19.5
15.2A.24.7
7.816.39.2
10.08.15.07.55.54.1
11.1
1 Unemployment as a percent of civilian labor force.2 Aggregate hours lost by the unemployed and persons on part-time for economic reasons
as a percent of potentially available labor force hours.3 Includes mining, not shown separately.
72
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 75: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/75.jpg)
HOUSEHOLD DATASEASONALLY ADJUSTED
QUARTERLY AVERAGES
A-48. Unemployed persons by duration of unemployment, seasonally adjusted
(Numbers in thousands]
Weeks of unemployment
DURATION
Both texts, 16 years and over:Lets than 5 weeks6 to 14 weeks16 weeks and over
16 to 26 weeks27 weeks and over . .
Average (mean duration in weeksMedian duration in weeks . . . .
PERCENT DISTRIBUTION
Total unemployed .Less than 6 weeks5 to 14 weeks16 weeks and o*ver
16 to 26 weeks .
19 77
I I
2,9402,0561,902
8451,057
14.57.1
100.042.629.827.612.315.3
I I I
2,8032,0961,844
916928
14.07.0
100.041.631. 127.313.613.8
I V
2,7572,0011,735
860876
13.76.9
100.042.530. 826.713.213.5
1978
I
2,7491,3951,542
828715
12.76.4
100.044.430.624.913.411.6
I I
2,1131,8711,396
740655
12.25.9
100.0-46.030.923. 112.210.8
I I I
2,3581,8651,284
6 64620
11.65.9
100.047.631 . 121.411.110.3
I V
2,7861,8541,238
70952 9
11.25-6
100.047.431.521. 112.1
9.0
1979
I
2,7661,8731,251
712541
11.45.8
100.047.031.821.312. 19.2
I I
2,8601,8701, 196
683513
10.85.5
100.048.331.620.211.58.7
I I I
2,9221,9021,135
6394 96
10.55.6
100.049.031.919.010.78.3
IV
2,9301,9331,205
683522
10.55.4
100.048.331.919.911..18.6
1980
I
3,05 62,0521,328
787541
10.85.6
100.047.531.920.612.28.4
I I
3,5052,6701,706
998708
11.26.0
100.044.533.921.612.79.0
A-49. Rates of unemployment by sex and age, seasonally adjusted
Sex and age
1977
II III IV
1978
II III IV
1979
II III
1980
II
Total, 16 years and over...
16 to 19 years16 to 17 years18to19yeers
20to 24years !
26 years and over26 to 54 years66 years and over
Males, 16 years and over. .
16 to 19 years16 to 17 years18 to 19 years
20 to 24 years25 years and over
25 to 54 years56 years and over
Females, 16 years and over
16 to 19 years16 to 17 years18 to 19 years
20 to 24 years25 years and over
25 to 54 years55 years and over
7.2
18.220.516.711.05.05.24.1
6.4
17.720.216.110.94.34.43.7
8.3
18.820.917.411.16.16.54.6
6.9
17.619.915.910.94.85.03.9
6.1
17.420.215.110.84.04.13.6
8.1
17.919.516.810.96.06.34.5
6.6
16.518.515.110.24.64.84.0
5.7
15.917.514.59.73.93.93.8
7.8
17.319.715.710.95.86.14.3
6.2
16.919.814.910.34. 14.33.3
5.5
16.319.513.910. 13.53.5
3.2
7.2
17.820. 116.110.45-05.4.1.5
6.0
16.018 .71 4 . 19.54.14.33.2
5.1
15.118.412.98.73.43.4
3.2
7.2
16.918.915.510.55.15.63.2
6.C
16.219.513.79.44.04.33.1
5.1
15.418.912.66.83.33.43.0
7.3
17.120.214.910.15.25.63.3
5.8
16.219.313.98.93.94. 12.9
5.0
16.219.913.28.63.23.32.7
6.8
16.218.714.79.34.9S.23.3
5.8
15.918.513.98.73.94. 13.0
5.0
16.019.113.88.23.23.32.8
6.8
15.717.813.99.34.95.33.4
5.8
16.118.414.68.83.94.13.1
5.0
15.517.914.08.23.23.33.0
6.8
16.718.915.29.64.95.33.2
5.6
16.217.515.29.23.94. 13.1
5.1
15.916.915.18.83.33.53.1
6.7
16.518.215.3
9.64.75.13.1
5.9
16.117.914.89.43.94.22.8
5.2
15.717.614.09.13.43.62.7
6.8
16.518.215.5
9.74.85.13.1
6.1
16.218.414.69.84.24.53.0
5.6
15.517.614-010.23.73.92.9
6.8
17.019.315.39.34.95.43.1
7.5
18.020.116.712.25.35.83.5
7.4
18.420.717.113.35.25.53.6
7.5
17.419.416.310.95.66.13.3
73
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 76: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/76.jpg)
HOUSEHOLD DATA
SEASONALLY ADJUSTED
QUARTERLY AVERAGES
A-50. Unemployed persons by reason for unemployment, seasonally adjusted
[Numbers in thousands]
Reason f of unemploynMftt19 77
IT III IV
1973
II III IV
1979
I I I I I IV
1980
I I
NUMBER OF UNEMPLOYED
Both sexes, 16 years and over:
Job losers
On layoffOther job losers ,
Job leavers , . . . •Reeotr&nts • • • • • • • • • • • • • • • • <
ran
PERCENT DISTRIBUTION
Total unemployedJob losers
On layoffOther job losers
Job leaversReentrants
UNEMPLOYED AS A PERCENT OF THECIVILIAN LABOR FORCE
Job losersJob leaversReentrantsNew entrants
3,094837
2,256908
1,975975
100.044. 512.032.513. 128.414.0
3.2.9
2.01.C
3,056
2,198862
1 ,869957
1C0.045.312.732.612.827.714.2
3. 1.9
1.91.0
2,84277 0
2,072890
1,83087 3
100.043.811.932.013.729.013.5
2.9.9
1.9.9
2,612713
1,899865
1,834895
100.042.111.530.613.929.514.4
2.6.9
1.8.9
2,534660
1,874847
1,775862
100.042.111.031.114.129.514.3
2.5.8
1.8.9
2,452693
1,759848
1,847369
100.040.811.529.214. 130.714.4
2.4.8
1.8.9
2,413707
1,705851
1,795
100.040.912.028.014.430.414.3
2.4.8
1.8. 3
2,453774
1,684864
1,751830
100.C41.613. 128.514.629.714.1
2.4.8
1.7
2,442793
1,648881
1,766802
100.041.413.528.015.030.013.6
2.4.9
1.7. 8
2,613656
1,757349
1,77075 7
10C.043.614.329.314.229.612.6
2.5.8
1.7.7
2,729953
1r776827
1,744799
10C.044.815.629.113.628.613.1
2.6
1.7. e
2,9811,0601,921
79 31,795
814
100.C46.716.630.112.428.112.8
2.9. 8
1.7. 8
4,1791,8282,351
9381,935
8 30
100.053.023.229.811.924.510.5
4.0.9
1.8.8
A-51. Employed persons by sex and age, seasonally adjusted
[In thousands]
Sex and age1977
IT I I I IV
1978
I I I I I IV
1979
I I I I I IV
1980
I I
Total, 16 yearsand over
16 to 19 years16 to 17 years18 to 19 years
20 to 24 years25 years and over
25 to 54 years55 years and over...
Males, 16 yearsand over
16 to 19 years16 to 17 years18 to 19 years
20 to 24 years25 years and over
25 to 54 years55 years and over
Females, 16 yearsand over
16 to 19 years16 to 17 years18 to 19 years
20 to 24 years ,25 years and over
25 to 54 years55 years and over
90, 188
7,5733,0414,518
12,7636$,8595 6,13113,720
53,643
4,1211,6842,4266,953
42,5713 4,042
8,536
36,545
3,4521,3572,0925,81C
2 7,28822,089
5,184
90,913
7,6743,1164,555
12,92770,30756,59113,714
54,005
4,1271,7152,4187,062
42,82034,269
8,539
36,908
3,5471,4012,1375,865
27,48722,322
5,174
92,108
7,82 23,2104,613
13,08971,19 157,26213,939
54,716
4,27 11,7992,4697,149
43,28 334,6328,65 5
37,392
3,5511,41 12,1445,940
27,90922,63C5,284
92,954
7,7723,1594,612
13,17771,99758,02313,965
54,922
4,2241,7512,4 727,158
43,54034,8958,641
38,032
3,5481,4082,1406,019
28,45823,1285,324
94,145
8,0103,2944,705
13,47172,67458,50614,163
55,421
4,2871,7782,5047,344
43,78835,0598,743
38,724
3,7221,5162,2016,127
28,88523,4475,421
94,734
8,0903,3264,773
13,58473,05758,90614,161
55,603
4,3201,7892,5447,359
43,93435,192
8,732
39,132
3,7701,5372,2296,225
29,12323,7145,429
95,653
8,0543,2974,762
13,75273,84459,59914,249
56,010
4,2741,7482,5307,449
44,27335,4558,815
39,643
3,7801,5492,2326,303
29,57124,1455,434
96,425
8,1063,3344,777
13,9on74,4166.0,04314,37?
56,417
4,28ft1,78?2,5047,537
44,59835,745
8,859
40,008
3,81ft1,5522,2736,361
29,81824,29ft5,513
96,467
7,97 03,2464,709
13,88874,62460,32514,286
56,381
4,2451,7582,4777,547
44,58635,8268,772
40,086
3,7251,4892,2316,340
30,03824,4995,514
97,231
7,8853, 2084,671
13,90375,44761,09214,361
56,564
4,2011,7382,4^617,533
44,84536,0118,821
40,667
3,6841,4702,2106,370
30,60225,081
5,540
97,665
7,9793,2954,695
13,87775,80361,42314,378
56,648
4,2161,7652,4 567,521
44,89536,1098,778
41 ,017
3,7631,5302,2396,357
30,90725,314
5,600
97,804
7,8763,1844,703
13,80576,12961,77814,361
56,6G6
41,198
96,893
7,5993,0374,549
13,52575,78361,47414,300
55,759
4,2361,7562,4877,457
44,92936,1118,8 23
4 ,1 ,2 ,7 ,
4 4 ,3 5 ,
8 ,
035634394236505757759
41,133
3,6401,4282,2166,347
31,20025,667
5,538
3126
3125
5
,564,402,^55,289,279,717,541
7 4
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 77: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/77.jpg)
HOUSEHOLD DATASEASONALLY ADJUSTEDQUARTERLY AVERAGES
A-52. Employed parsons by selected social and economic categories, seasonally adjusted
(in thousands!
Selected categories
1977
I I I IT
1978
II III IV
1979
II III IV
1980
I I
CHARACTERISTICS
Total. 16 years and overMarried men, spouse presentMarried women, spouse present ,
OCCUPATION
White-collar workersProfessional and technicalManagers and administrators.
except (armSales workersClerical workers
Blue-collar workersCraft and kindred workersOperatives, except transportTransport equipment
operativesNonfarm laborers
Service workersFarm workers
MAJOR INDUSTRY AND CLASSOF WORKER
Agriculture:Wage and salary workersSelf-employed workersUnpaid family workers
Nonagricuitural industries:Wage and salary workers
GovernmentPrivate industries
Private householdsOther industries
Self-employed workers
Unpaid family workers
PERSONS AT WORK1
Nonagricuitural industries
Fullt ime schedulesPart time for economic reasons
Usually work full timeUsually work part time
Part time for noneconomicreasons
90,1883 8,46320,933
,757,508
,515,705,029,204,864,383
,,471,397,835
1,3241,610
377
60,41315,05065,363
1,35664,005
5,9825C6
81,48066,919
3,2391,2511,989
11,322
90,91338,37720,987
45,31913,788
9,6815,756
16,09430,29311,91310,341
3,4924,547
12,5092,711
92,10838,56 221,291
46,22714,035
9,9415,767
16,48430,60512,09510,404
3,5064,600
12,5472,771
1,3221,553
315
81,11815,21165,9071,394
64,5136,065
503
11
821566
165
6
,332,573
34 0
,204,346,859,3ft9,47 0,135
474
82,45067,6543,3151,2532,062
11,481
83,31968,344
3,2661,2432,023
11,729
92,95438,52721,585
46,53414,019
10,0855,871
30*93412, 13810,649
3,5264,620
12,7062,807
1,3891,588342
82,91715,27467,643
1,37266,271
6,269476
83,99469,155
3,1671,1921,975
11,671
94,14536,62521,760
46,95714,212
10,1005,905
16,74031,56712,30710,938
3,5194,803
12,8472,786
1,4241,617
296
84,04115,2836fl,759
1,4 0067,359
6,312462
85,8137C,473
3,2791,2722,007
12,062
94,73438,6662 1,921
47,38214,255
10,1235,960
17,04431,58312,46210,872
3,5084,740
12,8542,818
1,4261,621
320
84,56115,26569,295
1,36567,930
6,241466
86,06670,938
3,2571,2981,958
11,874
9 5,65338,93822,250
47,95114,509
10,1146,061
17,26732,03112,63111,043
3,6134,744
12,9472,773
1,4261,596
309
85,45915,31770,142
1,31368,820
6,404463
86,83371,596
3,1591,2281,931
12,078
96,42539,20822,500
48,71214,899
10,3616,064
17,38832,16912,83210,950
3,6074,779
12,e232,761
1,4091,568
314
86,22015,28570,935
1,27969,656
6,543459
«7,63772,3063,1971,2511,946
12,134
96,46739,01122,5 29
49,13015,067
10,4536,096
17,51431,86712,82210,776
3,6044,664
12,8282,655
1,4091,537
288
86,21515,43170,784
1,20169,584
6,567466
87,38172,133
3,2821,2941,988
11,966
97,23139,18522,905
49,67215,089
10,6566,163
17,76432,03612,87710,919
3,6164,625
12,7492,702
1,4011 ,605
309
86,59615,36071,236
1,24869,988
6,724473
88,78273,0423,2461,3361,910
12,494
97,66538,96422,962
49,85415,153
10,597€,323
17,78032,20612,98910,991
3,6194,607
12,9352,702
1,4361,607
311
87,12915,39371,736
1,23370,5036,777
419
86,81272, 1133,4091,4191,989
12,290
97,80 438,81723,164
50,35415,393
10,7786,250
17,93331,76912,77010,639
3,5824,77$
13,0132,719
1,4311,601
292
87,40615,52571,881
1,14270,7396,826
384
89,00873,0273,4461,4641,982
12,535
96,89338,22723,126
50,62415,6C2
10,8465,997
18,17930,68312,53210,292
3,4334,427
12,9652,670
1,3801,614
279
86,54315,78670,756
1,18369,574
6,7094 07
87,75071,412
4,0551,8522,2C3
12,283
1 Excludes persons "with a job but not at work" during the survey period for such reasons
as vacation, illness, or industrial dispute.
75
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 78: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/78.jpg)
HOUSEHOLD DATASEASONALLY ADJUSTEDQUARTERLY AVERAGES
A-53. Job desire of persons not in labor force by current activity, reasons for not seeking work, sex, and race,seasonally adjusted
(In thousands) _ _ _ _ _ _ _ _ _ _ _ _
Characttristic
1977
I I I I I IV
1978
I I Ti l IV
1979
I I I I I TV I I
TOTAL
Both sexes, 16 yaars and ovtr:Total not in labor f ore*
Do not want job nowCurrant activity:
Going to school
KaapinghousaRatiradOthar
Want a job nowRaason not looking:
School attendance...Ill health, disability . .Home responsibilities.Think cannot gat job.
Job-market factorsPersonal factors...
Othar reasons1
Milt*
Total not in labor force
Do not want job now
WantajobnowRaason not looking:
School attendance...Ill haalth, disability . .Think cannot gat job.Other reasons'
Fair
Total not in labor force
Do not want job now
WantajobnowReason not looking:
School attendanceIll health, disabilityHome responsibilities . . .Think cannot get job
Other reasons
White
Total not in labor force
Do not want job now
Want a job nowReason not looking:
School attendanceIll health, disabilityHome responsibilities . . .Think cannot get job
Other reasons
Black and other
Total not in labor force.
Do not Waint job now • « • * • • * »
Want a job nowRaason not looking:
School attendanceIll health, disabilityHome responsibilities . . .Think cannot get j o b . . . .Other reasons
58,959
53,170
6,159a,509
30,0989,0513,3535,759
1,513783
1 ,2781,C567403ie
1,12")
16,503
14,6621,779
786332311350
42,456
38,5083,980
727451
1,27874*3777
51,409
47,0814,32*
1,0956 30976725899
7,565
6,0981,368
40 3157284301223
59,126
53,398
6,2144,567
30,1239 ,0453,4495,818
1,587808
1 ,2781,030
713317
1,115
16,642
14,8081,806
760343350353
42,483
38,5904,012
827466
1,278680762
51,584
47,3094*, 271
1,092571958717933
7,554
6,0761,584
510223337316197
58,815
53,125
6,2004,395
30,1139,0363,3*15,57C
1,514746
1,222977635341
1,111
16,414
14,6581,703
746321323314
42,401
38,4673,367
769426
1,222654797
51,316
46,9454,298
1,109559979720932
7,480
6,2411,245
401. 190
23 6249169
58,868
53,568
6,2614,505
29,7119,4083,6835,4 34
1,415699
1,226925645281
1,169
16,587
14,8851,742
710315340377
42,281
38,6631,691
704384
1,226585792
51,479
47,4194,154
1,038500959660998
7,391
6,0711,331
383216275287171
58,432
53,169
6,2274,573
29,6479,1963,5265,289
1,312754
1,236836537300
1,150
16,586
14,8891,647
6493 36300362
41,846
36,2603,642
664418
1,236536789
51,074
47,1603,977
961536962569949
7,3 73
6,0751,265
334218260255198
58,458
6,0374,424
29,4229,4003,6755,386
1,455703
1,227351612239
1,151
16,742
15,05C1,700
727326207359
41,716
37,8783,686
727376
1,227564792
51,083
46,9 134,256
1,202518961585991
7,379
6,1371,222
319170282274178
58,334
5,9604,620
29,2969,4663,70P5,261
1,351722
1,210772491281
1,197
16,675
14,9521,676
697327294358
41,700
38,1153.,534
655395
1,210478830
50,912
46,8543,911
980518904537962
7,454
6,1401,317
357204300232216
58,255
4,56329,3039,5833,84*35,246
1,34a750
1,227740495245
1, 181
15,0121,679
666362294358
41,667
38,2263,566
6C2389
1,227446823
50,696
46,8503,991
9855419525279fi6
7,541
6,2441,2e7
370230278221187
58,824
53,666
5,9764,542
29,2159,9793,9545, 190
1,378708
1,220807507300
1,078
16,956
15,3951,537
686276256319
41,868
38,2713,653
692432
1,220551759
51,220
47,2763,9 19
966505944564939
7,623
6,3721, 19 3
390189261218135
58,568
52,955
5,9744,4 6028,7239,9783,7995,527
1,564772
1,2667315312 00
1,194
16,948
15,1771,826
815355286370
41,620
37,7733,701
749417
1 ,2 66445824
50,9Q8
46,8454,274
1,222529980541
1.002
7,607
6,3051,345
401219315200211
56,842
53,563
fc,C034,5402fi,73610,2064,0765,287
1,493751
1,238741459282
1,C64
17,211
15,4851 ,725
739337285364
41,632
3C,C783,562
753414
1,23C456700
51,145
46,9834,C14
1,124521968540861
7,67fi
6,4511,236
36723426191181
59,C22
53,585
6,C364,680
28,19910,6384,0315,583
1,443789
1,34499 3610384
1,013
17,286
15,5941,738
68433637734 1
41,735
37,9913,845
759453
1,344616673
51,074
46,8564,284
1,035566
1,120694869
7,899
6,5561,35
414243232313149
59,1C3
54,014
6,2394,465
28,74210,5144,0535,441
1,452739
1,181917616300
1,152
17,329
15,7191,733
74533530534P
41,775
38,2943,708
7074 04
1,1816128C4
51,170
47,1804,078
1,0815349335979 32
7,956
6,6261,293
347199237296214
Includes small number of men not looking for work because of "home responsiblities."
76
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 79: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/79.jpg)
HOUSEHOLD DATAQUARTERLY AVERAGES
A-54. job desire of persons not in labor force and reasons for not seeking work by age and sexiln thousands I
Reason) for not seeking workTotal
II1979
II1980
Age in years
16-19
II1979
II1980
20 24
II1979
II1980
25 59
II1979
II1980
60 and over
II1979
II1980
TOTAL
Total not in tabor forceDo not want a job now
Current activity:Going to schoolIll, disabledKeeping houseRetiredOther
Want a job nowReason not looking:
School attendanceIll health, disabilityHome responsibilitiesThink cannot get job . . . . . .
Job-market factorsPersonal factors
Other reasons' .
Males
Total not in labor force . . . .
Do not want a job now . . .Current activity:
Going to schoolIll, disabledKeeping houseRetiredOther
Want a job nowReason not looking:
School attendanceMl health, disabilityThink cannot get job . . . .Other reasons '
Females
Total not in labor force
Do not want a job nowCurrent activity:
Going to schoolIll, disabledKeeping houseRetiredOther
Want a job nowReason not looking:
School attendanceIll health, disabilityHome responsibilities . . .Think cannot get jobOther reasons
58,886r
53,335
5,3834,58329,52810,0203,821
5,551
1,870694
1,182796532265
1,009
16,834
14,979
2,6082,475246
7,5892,061
1,857
966287274330
42,052
38,358
2,7752,108
29,2832,4311,761
3,694
904407
1,182522679
59,302
53,521
5,5514,49629,06510,5533,856
5,780
1,928727
1,148902635268
1,075
17,297
15,260
2,6732,411261
7,8932,022
2,036
1,014350312360
42,005
38,260
2,8772,086
28,8042,6601,833
3,745
914377
1,148591715
6,769
5,043
3,644
66
524
809
1,725
1,31425771218635188
3,024
2,189
1,739
31
13
406
836
676115693
3,745
2,854
1,904
35
511
404
891
63914776695
6,8905,072
3,693
31
528
820
1,818
1,336
298318611967184
3,056
2,149
1,757
9
5
378
906
733177977
3,834
2,921
1,936
22
522
441
912
604
12
83
106
107
4,4373,455
1,205
124
1,650
476
982
363492851137933172
1,246
942
6266013
243
305
212133545
3,190
2,516
579
67
1,637
233
675
151
3428578127
4,5303,494
1,281
103
1,660
451
1,034
397
3328714812423169
1,272
931
661
45
5
220
341
194146766
3,259
2,566
620
59
1,656
231
692
203
1928781
102
22,50020,137
5282,25615,154
2281,971
2,363
190474791417303113491
3,230
2,737
243
1,24357211983
493
76195107115
19,270
17,403
284
1,015
15,099
17
988
1,869
115278791309376
21,94719,457
5562,28514,421
1902,005
2,487
188524745448335112582
3,312
2,772
255
1,29162155
1,009
541
8623495126
18,634
16,690
304994
14,361
35
996
1,944
100290745353456
25,18024,700
72,13512,2019,792565
481
2147281456184159
9,334
9,109
1,141162
7,378428
224
2697578
15,847
15,590
6
994
12,0392,414137
258
79287081
25,93525,482
182,07612,45510,363
580
443
8141331215466140
9,656
9,408
2
1,065189
7,738414
249
867192
16,279
16,084
17
1,011
12,266
2,625
165
195
8
55335049
1 Includes small number of men not looking for work because of "home responsibilities."
NOTE: Detail in tables A-54, A-55, and A-57 may not add to not-in-labor-force totalsbecause of differences in the weighting patterns used in aggregating these data.
r =• revised.
77
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 80: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/80.jpg)
HOUSEHOLD DATAQUARTERLY AVERAGES
A-55. Job desire of persons not in labor force and reasons for not seeking work by age, race, and sex
[In thousands]
Reasons for not seeking workTotal
1979
Age in years
16-24
1U0
60 and over
1979 1980 1$79 1980 1979 l$80
WHITE
Total not in labor force ,
Oo not want a job nowCurrent activity:
Going to school .Ill , disabled . . .Keeping house .RetiredOther
Want a job now ,Reason not looking:
School attendance . . .Ill health, disability . .Home responsibilities1
Think cannot get jobOther reasons
BLACK A N D OTHER
Total not in labor force
Oo not want a job nowCurrent activity:
Going to school .Ill,disabled . . .Keeping house .RetiredOther
Want a job nowReason not looking:
School attendance . . .Ill health, disability . .Home responsibilities1
Think cannot get job .Other reasons
51,240
47,028
4,2863,683
26,7729,0793,208
4,213
1,372498906561876
7,646
6,308
1,096900
2,757941614
1,338
498196276235133
51,313
46,955
4,3323,553
26,3929,5873,091
4,358
1,476523897596866
7,989
6,565
1,218944
2,673966764
1,423
452204251307209
8,847
6,907
3,870152
1,831
1,054
1,937
1,22751
239133287
2,358
1,590
97838344
230
770
4502312210174
8,956
6,828
3,884105
1,870
969
2,130
1,35448271174283
2,464
1,738
1,09029317
302
725
3801510016070
19,596
17,729
4091,768
13,711213
1,628
1,868
143339639299448
2,905
2,408
119489
1,44215
343
498
4813515311844
18,954
17,095
4341,762
13,116170
1,613
1,858
121362601318456
2,993
2,369
126522
1,30920
392
625
65163142128127
22,797
22,387
61,76111,2298,867524
410
210828130142
2,384
2,314
37597292641
68
38
23,403
23,034
141,685
11,4109,417508
370
111425104126
2,532
2,461
5391
1,04794672
70
62781712
14,323
12,915
2,0922,022
2146,9191,668
1,409
710211
201287
2,510
2,063
51545332670393
448
25676
7343
14,594
13,060
2,1251,927226
7,1571,625
1,534
772263
200299
2,703
2,200
54848435736397
502
24287
11261
36,917
34,113
2,1941,661
26,5582,1601,540
2,804
662287906360589
5,136
4,245
581447
2,725271221
890
24212027616290
36,720
33,895
2,2071,626
26,1662,4301,466
2,824
704260897396567
5,286
4,365
670460
2,638230367
921
210117251195148
1 Small number of men not looking for work because of "home responsibilities" are included in "other reasons."
A-56. Persons not in labor force who desire work but think they cannot get jobs by age, race , sex, and
detailed reason
2nd Quarter 1980
Detailed reason for not seeking work Total
Age in years
16-19 20-24 25 59 60 andover
Black and
TOTAL
Personal factors:Employers think too young or old .Lacks education or trainingOther personal handicap
Job-market factors:Could not find jobThinks no job available
Males
Personal factors:Employers think too young or old .Lacks education or trainingOther personal handicap
Job-market factors:Could not find jobThinks no job available
Females
Personal factors:Employers think too young or old .Lacks education or trainingOther personal handicap
Job-market factors:Could not find jobThinks no job available
9612151
357278
382416
14885
579735
209193
183316
8435
1110
4116
72216
4318
158
8341
4712
3730
187123
167168
1812
4034
176311
125136
6024
2232
27
2
1922
3422
210
836441
188220
341014
7271
495427
116149
135710
16958
5143
7614
8437
9344
78
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 81: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/81.jpg)
HOUSEHOLD DATAQUARTERLY AVERAGES
A-57. Most recent work experience of persons not in labor force and reason for leaving last job for thosewho worked during previous 12 months by age, race, and sex[Numbers in thousands]
Most recent work experience andreason for leaving job
Total
II1979
58,8869,57629,60710,1169,587100.042.38.77.718.47 ft/ . 0
5.2
22.9
16,8342,2197,7353,4483,432100.034.510.914.515.86.75.04.124.3
42,0527,35721,8726,6686,156100.046.77.53.9
19.98.45.36.222.1
II1980
59,3029,79029,9409,9539,617100.040.78.88.821.17 01 .£.
7.3
20.8
17,2972,3168,2763,3183,386100.032.710.614.919.66.77.25.722.0
42,0057,47421,6646,6366,231100.045.07.65.421.87.57.47.0
20.1
Age in years
16-24
II1979
11,2064,884292
1,5074,522100.055.02.6—
15.1
4.3
27.3
4,2701,932
39306
1,993100.051.22.5
16.67.54.74.5
29.6
6,9352,953252
1,2012,528100.057.92.7
14.06.94.13.0
25.4
II1980
11,4205,047328
1,6224,422100.054.61.8—
18.4
5.4
25.2
4,328.2,013
39367
1,910100.051.61.6—
18.16.75.16.3
28.7
7,0933,034290
1,2552,513100.056.91.9
18.78.05.75.1
22.6
25-59
II1979
22,5012,185
11,5654,9253,826100.038.813.62.8
22.2
6.4
22.6
3,230231
1,2661,019
711100.017.727.410.515.54.87.33.4
28.8
19,2701,953
10,2973,9063,115100.043.610.41.1
23.79.06.28.6
21.1
II1980
21,9472,297
10,9854,8293,836100.036.614.73.7
25.1
9.8
20.0
3,312273
1,352979708
100.013.631.78.625.56.813.94.820.7
18,6342,0249,6323,8513,127100.041.810.82.524.97.78.98.419.9
60 and over
II1979
25,1802,506
17,7503,6851,240100.07.1
15.950.718.5
4.7
7.8
9,33455
6,4282,123727
100.05.1
17.758.113.76.33.63.85.4
15,8472,45111,3221,561512
100.010.013.340.225.211.76.37.211.3
II1980
25,9352,44618,6273,5021,359100.06.814.751.618.5
6.6
8.4
9,65631
6,8841,973769
100.03.114.557.418.26.86.45.16.8
16,2792,41511,7431,530590
100.011.515.143.819.04.26.97.810.7
Whue
II1979
51,2407,56526,4268,9048,345100.043.28.08.118.5
5.2
22.2
14,3241,5576,7963,0342,937100.035.99.615.115.56.55.23.823.9
36,9176,00819,6305,8705,408100.047.27.14.320.18.45.26.521.4
II1980
51,3137,74126,6248,6528,295100.041.87.49.420.9
7.3
20.4
14,5941,6097,1922,8712,921100.033.310.016.018.56.96.84.8
22.2
36,7206,132
19,4325,7815,374100.046.56.05.9
22.27.27.67.4
19.5
Black andother
II1979
7,6462,0113,1811,2121,242100.036.613.25.0
18.08.25.*2
27.3
2,511663939415495
100.026.318.211.117.47.93.46.127.1
5,1351,3482,242797747
100.043.49.9.9
18.38.46.33.627.4
II1980
7,9892,0493,3161,3011,322100.033.517.24.522.18.17.*3f\ 7o • /22.72,703707
1,084447465
100.028.816.17.9
26.65.610.110.920.6
5,2861,3422,232854857
100.036.017.82.719.79.45.84.423.8
Total, not in labor force .Never workedLast worked over 5 years ago . . . .Last worked 1 to 5 years ago . . . .Left job during previous 12 months
Percent distribution by reason .School, home responsibilitiesIII health, disabilityRetirement, old ageEconomic reasons
End of seasonal job . . . .Slack workEnd of temporary job . . .
All other reasons
Males, not in labor force .Never workedLast worked over 5 years ago . . . .Last worked 1 to 5 years ago . . . .Left job during previous 12 months
Percent distribution by reason .School, home responsibilitiesIII health, disabilityRetirement, old ageEconomic reasons . . . . . . .
End of seasonal job . . . .Slack workEnd of temporary job . . .
All other reasons
Females, not in labor forceNever workedLast worked over 5 years ago . . . .Last worked 1 to 5 years ago . . . .Left job during previous 12 months
Percent distribution by reason .School, home responsibilitiesIII health, disabilityRetirement, old ageEconomic reasons
End of seasonal jobSlack workEnd of temporary job
All other reasons
A-58. Work-seeking intentions of persons not in labor force and work history of those who intendtoseeK work within next 12 months by age, race, and sex[In thousands]
Work-seeking intentions and work history
Total
II1979
II1980
Aga in years
16-24
II1979
II1980
25-59
II1979
IIJL980
60 and over
II1979
II1980
II1979
II1980
Black andother
II1979
II1980
Total
Do not intend to seek workIntend to seek work in the next 12 months
Never workedLast worked over 5 years agoLast worked 1 to 5 years agoWorked during previous 12 months . . .
Males
Do not intend to seek workIntend to seek work in the next 12 months
Never workedLast worked over 5 years agoLast worked 1 to 5 years agoWorked during previous 12 months . . .
Females
Do not intend to seek work ,Intend to seek work in the next 12 months
Never worked ,Last worked over 5 years ago ,Last worked 1 to 5 years agoWorked during previous 12 months
50,4018,4861,6001,1371,6564,092
13,9812,853708195373
1,577
36,4195,633893941
1,2832,516
50,4448,8571,8451,1361,6864,190
6,4,1,
2,
59560950168556485
14,2963,000
765194415
1,626
36,1485,8571,080942
1,2722,564
2,2582,01469213135
1,175
4,3382,59681055
4211,309
6,5424,8791,631
70586
2,593
2,1992,12972019162
1,227
4,3422,75091151
4221,365
19,0853,416
95930956
1,434
2,61261816
101181320
16,4742,797
80828775
1,114
18,4093,538209911975
1,441
2,6766364498188306
15,7332,902
165815787
1,135
24,7204603
139144173
9,112222
825782
15,6082403588792
25,4944415
156125155
9,421236
806492
16,0732065776163
44,4786,7631,099845
1,3473,473
12,0502,274477140302
1,355
32,4284,489622705
1,0452,118
44,3616,9511,276889
1,2843,501
12,2202,373532139322
1,379
32,1414,578744750l962
2,122
5,9231,723502292309620
1,9325792315571
222
3,9911,144271237238398
6,0831,906569247401689
2,0766272335592
247
4,0071,279336192309442
79
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 82: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/82.jpg)
HOUSEHOLD DATAQUARTERLY AVERAGES
A-59. Employment status of the civilian noninstitutional population by sex, age, race, and Hispanic origin
(Numbers in thousands]
Employment status
II1979
II1980
II1979
171980
II1979
II1980
Hispanic origin2
TI1979
II1980
Civilian noninstitutional population . .
Civilian labor forcePercent of populationEmployment
AgricultureNonagricultural industries
UnemploymentUnemployment rate
Not in labor force
Males, 20 years and over
Civilian noninstitutional population . .
Civilian labor force ,
Percent of populationEmployment
AgricultureNonagricultural industries
UnemploymentUnemployment rate
Not in labor force
Females, 20 years and over
Civilian noninstitutional population . .
Civilian labor force
Percent of populationEmployment
AgricultureNonagricultural industries
UnemploymentUnemployment rate
Not in labor force
Both sexes, 1619 years
Civilian noninstitutional population . . .
Civilian labor force
Percent of populationEmployment
AgricultureNonagricultural industries
UnemploymentUnemployment rate
Not in labor force
161,181
102,29563.5
96,6103,389
93,2205,685
5.658,886
68,123
54,31379.7
52,2712,362
49,9092,041
3.813,810
76,670
38,36250.0
36,292624
35,6682,070
5.438,307
16,389
9,62058.7
8,046403
7,6431,574
16.46,769
163,804
104,50263.6
97,0173,418
93,5997,485
7.259,302
69,430
55,18979.5
51,8642,38 3
49,4813,325
6.014,241
78,094
39,92351.1
37,477613
36,8642,445
6.138,171
16,281
9,39157.7
7,676422
7,2541,715
18.36,890
141,330
90,09C63.7
85,8053,090
82,7144,285
4.851,240
60,423
48,44680.2
46,8772,151
44,7271,569
3.211,977
67,055
33,07749.3
31,541564
30,9771,536
4.633,97e
13,852
8,56661.8
7,386375
7,0111,180
13.85,286
143,408
92,09464.2
86,2623,155
8 3, 1075,833
6.351,313
61,501
49,26380.1
46,6172, 179
44,4382,647
5.412,238
68,175
34,44550.5
32,611576
32,0351,834
5.333,731
13,731
ft,38761.1
7,034401
6,6341,3521f.1
5,345
16,979
10,35061.0
9,073235
8,8391,2 76
12.36,6 29
6,539
4,94475.6
4,518167
4,3504268.6
1,597
8,215
4,50054.8
4,01345
3,968487
10.83,714
2,225
90740.8
54322
520364
40.11,318
17,366
10,51060.5
9,021209
8,8121,488
14.26,856
6,705
4,99S74.6
4,390165
4,2256 08
12.21 ,706
fi,434
4,64755.1
4,10127
4,074547
11.83,787
2,227
86438.8
53C17
513334
38.61,363
8,C06
3,265
3,642
1,71947.2
1,56631
1,5351538.9
1,923
1,099
52447.7
43130
40193
17.8575
8,513
5,03162.84,631236
4,3954007.9
2,975
5,44564.04,901252
4,64854410.0
3,069
3,495
2,78885.4
2,634175
2,4601545.5477
2,98185.32,728179
2,5492548.5514
3,875
1,09148.8
1,72844
1,6851638.6
1,984
1,143
57250.0
44530
415127
22.3571
1 Data relate to black workers only. According to the 1970 Census, they comprised about89 percent of the "black and other" population group.
2 Data on persons of Hispanic origin are tabulated separately, without regard to race, which meansthat they are also included in the data for white and black workers. At the time of the Census, approxi-mately 96 percent of their population was white.
8 0
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 83: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/83.jpg)
HOUSEHOLD DATAQUARTERLY AVERAGES
A-60 Employment status of persons of Mexican,by sex and age(Numbers in thousands)
Puerto Rican, and Cuban origin
Employment status
Total Hispanic origin1
II1979
II1980
Mexican origin
II1979
II1980
Puerto Rican origin
II1979
II1980
Cuban origin
II1979
II1980
TOTAL
Civilian noninstitutional population
Civilian labor force
Percent of population
Employment
Agriculture
Nonagricultural industries
Unemployment
Unemployment rate
Not in labor force
Males, 20 years and over
Civilian noninstitutional population
Civilian labor force
Percent of population
Employment
Agriculture
Nonagricultural industries
Unemployment
Unemployment rate
Not in labor force
Females, 20 years and over
Civilian noninstitutional population
Percent of population
Employment
Agriculture
Nonagricultural industries
Unemployment
Unemployment rate
Not in labor force
Both wees, 16-19 years
Civilian noninstitutional populatioi
Civilian labor force
Percent of population
Employment . .AgricultureNonagricultural industries
UnemploymentUnemployment rate
Not in labor force
8,006
5,03162.84,631236
4,3954007.9
2,975
3,265
2,78885.42,634175
2,4601545.5477
3,642
1,71947.21,566
311,5351538.9
1,923
1,099
52447.743130
40193
17.8575
8,513
5,44564.04,901252
4,64854410.03,069
3,495
2,98185.32,728179
2,5492548.5514
3,875
1,89148.81,728
441,6851638.6
1,984
1,143
57250.044530415127
22.3571
4,793
3,12665.22,888207
2,6812387.6
1,667
2,023
1,79188.51,700153
1,548915.1232
2,077
97046.787727850939.6
1,106
693
36552.73102728454
14.9328
5,116
3,37966.03,021223
2,79835810.61,737
2,189
1,91287.31,742156
1,5861698.9277
2,199
1,07148.797239933999.3
1,128
728
39654.43072827989
22.6331
1,078
53950.04797
47360
11.1539
375
30681.62733
26933
10.769
527
18134.31692
16712
6.8345
177
5229.43823615(2)124
1,133
58451.55189
51066
11.3548
410
33381.23037
296319.276
561
20236.01782
17624
12.1359
163
4930.138
3811(2)114
612
40165.53726
366297.3210
270
21981.12106
2049
3.951
283
15454.4139
13916
10.2129
58
28(2)23
235
(2)30
578
39368.03652
363287.0186
243
20383.51902
18813
6.640
279
15856.6151
1517
4.3121
56
32(2)24
248
(2)25
Includes persons of Central or South American origin and other Hispanic origin, not#n UidAratelwshown separately.
3 Percent not shown where base is less than 60,000.
81
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 84: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/84.jpg)
HOUSEHOLD DATAQUARTERLY AVERAGES
A-61. Employed persons by selected social and economic categories, race, and Hispanic origin[In thousands]
Selected categories
Total
IT1979
IT1980
II
1979II1980
Black and other
II1979
II1980
Hispanic origin1
II1979
II1980
CHARACTERISTICS
Total, 16 years and overMalesFemales
OCCUPATION
White-collar workersProfessional and technicalManagers and administrators, except farmSales workersClerical workers
Blue-collar workersCraft and kindred workersOperatives, except transportTransport equipment operativesNonfarm laborers
Service workersFarm workers
MAJOR INDUSTRY AND CLASSOF WORKER
Agriculture:Wage and salary workersSelf-employed workersUnpaid family workers
Nonagricultural industries:Wage and salary workers
GovernmentPrivate industries
Private householdsOther industries
Self-employed workersUnpaid family workers
FULL- AND PART-TIME STATUS2
Full-time schedulesPart time for economic reasonsPart time for noneconomic reasons
96,61056,61939,991
48,92115,03010,3436,12017,42832,04112,84810,7333,6374,82312,8632,785
1,4941,554341
86,06115,35070,7111,19569,5166,653506
79,3093,53713,764
97,01756,00441,013
50,38915,56910,7276,01718,07630,83612,55410,2383,464
• 4,57913,0032,790
1,4621,629327
86,36215,70170,6611,17669,4856,795442
78,5254,40014,093
85,80550,85934,946
44,83613,6789,7815,82415,55228,13111,8369,1473,1214,02710,2992,539
1,2481,509334
86,26250,39935,863
46,18314,18710,1975,71316,08726,99311,5378,6732,9283,85410,5022,584
1,2611,576318
75,95112,95063,001
80662,1956,278486
70,3162,91912,569
76,33113,27763,054
79562,2596,359416
69,7063,70712,849
10,8055,7605,045
4,0851,352561296
1,8763,9101,0131,585516796
2,564246
246458
10,1112,4007,711390
7,32137520
8,992618
1,195
10,7555,6055,150
4,2061,383530304
1,9893,8431,0171,566536725
2,501205
200539
10,0312,4237,608382
7,22643626
8,819693
1,244
4,6312,8791,752
1,513352280191690
2,198635989184390735185
214184
4,154604
3,55076
3,47422518
3,954223455
4,9013,0031,898
1,669383314197775
2,232653
1,030196353787213
226233
4,384642
3,74395
3,64824420
4,083310508
See footnote 2, table A-59.Employed persons "with a job but not at work" during the survey period are distributed
proportionately among the full- and part-time employed categories.
82
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 85: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/85.jpg)
HOUSEHOLD DATAQUARTERLY AVERAGES
A-62. Employed persons of Mexican, Puerto Rican, and Cuban origin by selected social and economic categories[In thousands]
Selected categories
Total Hispanic
TI1979
II1980
Mexican origin
II1979
II1980
Puerto Ricanorigin
II1979
II1980
Cuban origin
II1979
II1980
CHARACTERISTICS
Total, 16 years and overMalesFemales
OCCUPATION
White-collar workersProfessional and technicalManagers and administrators, except farmSales workersClerical workers
Blue-collar workersCraft and kindred workersOperatives, except transportTransport equipment operativesNonfarm laborers
Service workersFarm workers
MAJOR INDUSTRY AND CLASSOF WORKER
Agriculture:Wage and salary workersSelf-employed workersUnpaid family workers
Nonagriculturel industries:Wage and salary workers
GovernmentPrivate industries
Private householdsOther industries
Self-employed workersUnpaid family workers
FULL- AND PART-TIME STATUS2
Full-time schedulesPart time for economic reasonsPart time for noneconomic reasons
4,6312,8791,752
1,513352280191690
2,198635989184390735185
214184
4,154604
3,55076
3,47422518
3,954223455
4,9013,0031,898
1,669383314197775
2,232653
1,030196353787213
226233
4,384642
3,74395
3,64824420
4,083310508
2,8881,8711,017
78116315488376
1,480432629130289459166
192132
?,544364
2,18044
2,13612314
2,439168281
3,0211,9411,080
906185165100456
1,440427630122261484191
479296184
185482017100
213451241826775
206152
2,659418
?,24150
2,19112910
2,496224301
7
461803813
37812—
4261241
518330188
17848371578
263521522633735
49165
4266
420171
4532936
372226146
16642392362
16248781422421
339303263
309261
326937
365201164
15633322467
16952791523411
331253061
305322
330927
See footnote 1, table A-60. See footnote 2, table A-61.
83
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 86: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/86.jpg)
HOUSEHOLD DATAQUARTERLY AVERAGES
A-63. Employed persons by sex, age, race, and Hispanic origin(In thousands)
Sex and aga
Total
II1979
II1980
Whit*
II1979
II1980
II1979
II1980
Hispanic origin2
II1979
II1980
Total, 16 yaars and over . .
16 to 19 years16 to 17 years . .18 to 19 years
20 to 24 years25 years and over
26 to 64 years55 years and over . . . . . .
Males, 16 years and over . .
16 to 19 years16 to 17 years18 to 19 years
20 to 24 years25 years and over
25 to 54 years55 years and over
Females, 16 years and over
16 to 19 years16 to 17 years18 to 19 years
20 to 24 years25 years and over
25 to 54 years55 years and over
96,610
8,0463,2714,77513,92474,64060,33214,307
56,619
4,3471,8222,5267,610
44,66135,8878,774
39,991
3,6991,4502,2496,31329,97924,4465,533
97,017
7,6763,0624,61413,55375,78961,47414,315
56,004
4,1401,6992,4417,295
44,56935,8138,756
41,013
3,5361,3632,1736,25731,22025,6605,559
85,805
7,3863,0474,33912,33066,08853,15012,938
50,859
3,9811,6942,2876,753
40,12432,1108,014
34,946
3,4051,3532,0525,577
25,96521,0404,925
86,262
7,0342,8254,20912,01967,20954,21812,991
50,399
3,7821,5612,2226,484
40,13232,0898,043
35,863
3,2521,2641,9885,534
27,07722,1294,948
9,073
543183359
1,3537,1785,9971,181
4,828
310107203730
3,7873,147
640
4,246
23276156623
3,3902,850540
9,021
530191339
1,3047,1876,0391,147
4,693
303115189688
3,7023,098604
4,328
22777150616
3,4842,941
543
4,631
431147284835
3,3673,004363
2,879
24590
154501
2,1341,891
243
1,752
18656130334
1,2331,113
119
4,901
445159285837
3,6193,264355
3,003
27598178502
2,2261,988237
1,898
16962108336
1,3921,274
118
1 See footnote 1, table A-59. See footnote 2, table A-59.
A-64. Rates of unemployment by sex, age, race, and Hispanic origin
Sex and age
Total
II1979
II1980
White
II1979
II1980
II1979
II1980
Hispanic origin3
II1979
II1980
Total, 16 years and over . .
16 to 19 years16 to 17 years18 to 19 years
20 to 24 years25 years and over
25 to 54 years55 years and over
Males, 16 years and over . .
16 to 19 years16 to 17 years18 to 19 years
20 to 24 years25 years and over
25 to 54 years55 years and over
Females, 16 years and over
16 to 19 years ,16 to 17 years18 to 19 years
20 to 24 years25 years and over
25 to 54 years55 years and over . . . . . . .
5.6
16.419.314.28.53.63.82.9
4.8
15.317.813.47.83.03.12.8
6.7
17.621.015.2
9.44.54.83.0
7.2
18.321.016.311.85.05.43.2
7.0
18.120.516.412.64.85.23.4
7.3
18.421.616.310.75.25.63.1
4.8
13.816.611.77.13.23.32.6
4.1
13.115.411.46.72.62.72.5
5.7
14.518.012.07.74.04.22.9
6.3
16.118.714.310.34.44.82.9
6.3
16.418.614.711.64.34.63.0
6.4
15.918.813.98.74.65.02.9
12.3
40.147.035.919.47.57.95.6
11.0
35.342.630.616.56.96.97.0
13.8
45.652.141.822.68.39.03.9
14.2
38.643.335.623.19.6
10.26.4
14.1
35.033.532.721.710.110.58.3
14.2
42.949.239.024.6
9.09.94.2
7.9 10.0
17.824.613.7
9.86.06.15.7
6.6
17.221.614.4
8.14 .95.04 .3
10.0
18.429.012.912.2
8.07.99.2
22.326.719.512.5
7.67.85.9
9.9
21.926.619.013.1
7.47.47.1
10.1
22.926.920.311.5
7.98.33.3
See footnote 1, table A-59. 9 See footnote 2. table A-69.
84
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 87: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/87.jpg)
HOUSEHOLD DATAQUARTERLY AVERAGES
A-66. Unemployed persona by duration of unemployment, race, and Hispanic origin[In thousands)
• f w W VI WlWiifPifiWy eieWlX
Total
111979
5,6852,8861,5061*293
752541
11.3A.9
100.050.826.522.713.29.5
I I1980
7,4853,5162,1451,8241,084
740
11.55.7
100.047.028.724.414.59.9
Whit*
I I1979
4,2852,2021,135
947575373
10.84.9
100.051.426.522.113.48.7
II1980
5,8332,7471,6721,413
873540
11.35.7
100.047.128.724.215.09.3
Black and ottwr
II1979
1,400684371345177168
12.65.3
100.048.926.524.612.612.0
II1980
1,653769473411211200
12.55.9
100.046.528.624.912.812.1
Hispanic origin1
II1Q7Q
400214108784533
10.24.7
100.053.527.019.511.38.3
II19?p
5442701561186651
11.35.1
100.049.728.721.512.2
9.5
Duration
Total, 16 ytars and ovtr . . . . . . . . .Lett than 5 wetkiCtoMwtikt15 weeks and ovtr
15 to 26 weeks27 weeks and over
Average (mean) duration, in weeks .Median duration, in weeks
Percent distribution
Total unemployedLess than 6 weeks5 to 14 weeksIS weeks and over
15 to 26 weeks27 weeks and over
See footnote 2. table A-59.
A-66. Unemployed persons by reason for unemployment race and Hispanic origin
[Numbers in thousands) ___
Reason for u
Total
II1979
II1980
II1979
II1980
Black and other
II1979
II1980
Hispanic origin1
II1979
II1980
NUMBER OF UNEMPLOYED
Total, 16 years and ovtrJob loser*
On layoffOther job losers
Job leaversReentrantsNew entrants
PERCENT DISTRIBUTION
Total unemployed ,Job losers
On layoffOther job losers
Job leaversReentrantsNew entrants
UNEMPLOYED AS A PERCENT OF THECIVILIAN LABOR FORCE
Job losersJob leaversReentrantsNew entrants
5,6862,257678
1,579785
1,752892
100.039.611.927.713.830.815.7
2.2.7
1.7.9
7,4853,8191,5192,300838
1,907• 921
100.051.020.330.711.225.512.3
3.7.8
1.8.9
4,2851,732551
1,182654
1,279620
100.040.412.827.615.329.814.5
1.9.7
1.4.6
5,8333,0481,2731,776677
1,446661
100.052.221.830.411.624.811.3
3.3.7
1.6.7
1,400525128397131473271
100.037.59.128.49.333.819.4
4.31.13.92.2
1,653771246525161461260
100.046.714.931.89.727.915.7
6.21.33.72.1
40018848140558968
100.047.012.035.013.822.317.0
3.71.11.81.4
54429791
2075911473
100.054.816.738.110.821.013.4
5.51.12.11.3
1 See footnote 2, table A-59.
86
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 88: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/88.jpg)
HOUSEHOLD DATAQUARTERLY AVERAGES
A-67. Employment status of male Vietnam-era veterans and nonveterans by age
(Numbers in thousands)
Veteran statusand age
Not seasonally adjusted
Civiliannoninsti-tutional
population
II1979
II1980
Civilian labor force
II1979
II1980
II1979
II1980
Unemployed
II1979
II1980
Percentof
II1979
II1980
VETERANS1
Total, 20 years and over20 to 24 years
25 to 39 years25 to 29 years30 to 34 years35 to 39 years
40 years and over
NONVETERANS
Total, 25 to 39 years25 to 29 years30 to 34 years35 to 39 years
8,512579
7,1062,0033,5911,512
827
6,5S84,1483 ,719
8,597365
7,2551,7423,5891,924977
15,3637,0364,5243,803
8,097533
6,8651,9063,4851,473699
13,7226,2443,9473#532
8,162334
6,9861,6363,4811,869842
14,5776,6464,3233,608
7,77248 3
6,6131,8013,3711,441
676
13,2635,9973,8313,436
7,659287
6,5561,4753,2941,787
816
13,6656,1194,0813,465
32550
2521051143224
45924711696
5 0247
4291611868226
912527242143
4.09.3
3.75.53.32.23.4
3.34.02.92.7
6.214.1
6.19.85.44.43.1
6.37.95.64.0
1 Vietnam-era veterans are those who served between August 5, 1964 and May 1975.2 Nonveterans are males who have never served in the Armed Forces. Published data are limited
to those 25-39 years of age, the group that most closely corresponds to the bulk of the Vietnam-eraveteran population.
A-68. Employment status of male Vietnam-Era veterans and nonveterans 25 to 39 years by age, race, andHispanic origin, quarterly averages, not seasonally adjusted[Numbers in thousands]
Employment status
Veterans1
II1979
II1980
Black and other
II1979
II1980
Hispanic origin3
II1979
II1980
II1979
II1980
Black and other
II1979
II1980
Hispanic origin3
II1979
II1980
Total, 25 to 39 years:
Civilian noninstitutional populationCivilian labor force
EmployedUnemployed
Unemployment rate
2b to 29 years
Civilian noninstitutional population
Civilian labor forceEmployedUnemployedUnemployment rate
30 to 34 yean
Civilian noninstitutional populationCivilian labor force
EmployedUnemployedUnemployment rate
36 to 39 years
Civilian noninstitutional populationCivilian labor force
EmployedLJocm ployedUnemployment rate . . . . .
6,4206,2236,0212023.2
1,7911,7071,625
82A.8
3,2683,1853,094
912.9
1,3611,3311,302
292.2
6,5316,3145,9633515.6
1,5251,4361,3111258.7
3,2573,1693,0121575.0
1,7491,7091,640
694.0
686641591507.8
21219917623
11.6
323300276248.0
1511421393
2.1
72467259478
11.6
21720016436
18.0
332312283299.3
175160147138.1
236228214146.1
8179727
8.9
1171121066
5.4
3837361
(3)
261243226177.0
8470664
5.7
1151121048
7.1
6261565
8.2
12,55012,02611,691
3352.8
5,7605,5035,3181853.4
3,5713,4313,351
802.3
3,2193,0923,022
702.3
13,35412,79712,099
6985.5
6,1725,8825,4714117.0
3,8993,7603,5771834.9
3,2833,1553,0511043.3
1,9141,6971,5741237.2
837741679628.4
577516480367.0
500440415255.7
2,0091,7801,56621412.0
86476464811615.2
62556350459
10.5
520453414398.6
1,029964915495.1
441407383245.9
302285273124.2
286272259134.8
1,1591,079988918.4
49445740948
10.5
368342320226.4
297280259217.5
See footnote 1. table A-67.See footnote 2, table A-59.
Percent not shown where base is less than 60,000.N.A.»Not available.
86
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 89: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/89.jpg)
HOUSEHOLD DATAQUARTERLY AVERAGES
A-69. Employment status of the population In metropolitan and nonmetropolhan areas by sex, age, and race(Numbws in thquwndl)
Employment ststus
Metropolitan areas
Total
II1979r
I ICentral cities
II1979
II1Q80
SuburbsIT
1979rII
1980
Nonmetropolitan areas
Total
II1979r
IIIQftn
II1979r
II1980
Nonfarm
II197Qr
II
Total
Civilian noninstitutional population . . .Civilian labor force
Percent of populationEmployedUnemployed
Unemployment rateNot in labor force
Males, 20 years and over
Civilian noninstitutional population . . .Civilian labor force
Percent of populationEmployedUnemployed
Unemployment rateNot in labor force
Females, 20 years and over
Civilian noninstitutional population . . .Civilian labor force
Percent of populationEmployedUnemployed
Unemployment rateNot in labor force
Both sexes, 16-19 years
Civilian noninstitutional population . . .Civilian labor force
Percent of populationEmployedUnemployed
Unemployment rateNot in labor force
White
Civilian noninstitutional population . .Civilian labor force
Percent of populationEmployedUnemployed
Unemployment rateNot in labor force
Black and other
Civilian noninstitutional population . . .Civilian labor force
Percent of populationEmployedUnemployed
Unemployment rateNot in labor force
L09,88470,84564.5
66,8334,0125.7
39,040
46,24237,31480.7
35,8541,4603.9
8,928
52,55127,02451.4
25,5771,4475.4
25,527
11,0916,50758.75,4021,10517.04,584
94,56461,25064.8
58,3482,9024.7
33,314
15,3209,59562.68,4851,11011.65,725
111,42472,15164.8
67,0315,1207.1
39,273
47,07437,85880.4
35,5812,2766.0
9,217
53,39728,00452.4
26,3311,6736.0
25,393
10,9526,28957.45,1191,17018.64,663
95,61462,39565.3
58,5743,8216.1
33,219
15,8099,75661.78,4571,29913.36,053
46,10728,67662.2
26,6971,9796.9
17,431
18,93514,72077.7
13,9587615.2
4,215
22,66611,55151.0
10,8287246.3
11,115
4,5062,40653.41,91249420.52,100
35,33322,17562.8
21,0201,1565.2
13,158
10,7746,50260.35,67982312.74,273
46,19328,91462.6
26,4902,4248.4
17,280
19,19114,86677.5
13,7721,0937.4
4,324
22,67411,76151.9
10,9498116.9
10,914
4,3282,28652.81,76851822.72,042
35,10222,31563.6
20,8531,4616.5
12,789
11,0906,59959.55,63896214.64,491
63,77742,16966.1
40,1362,0334.8
21,609
27,30722,59482.7
21,8966993.1
4,713
29,88515,47351.8
14,7497234.7
14,412
6,5844,10162.33,49061114.92,484
59,23139,07566.0
37,3271,7464.5
20,156
4,5473,09368.02,8072869.2
1,452
65,23043,23766.3
40,5412,6966.2
21,993
51,29731,44961.3
29,7751,6745.3
19,848
2722
211
4
,884,99282.5,809,1825.1
,893
2116
16
4
,881,99877.7,4175813.4
,882
30,72316,24452.9
15,3828625.3
14,479
6,6244,00260.43,35065216.32,622
60,51240,08166.2
37,7212,3595.9
20,431
4,7193,15766.92,82133710.71,562
24,11911,33747.0
10,7136245.5
12,782
5,2983,11458.82,64447015.12,184
46,76628,83961.7
27,4561,3844.8
17,927
4,5312,61057.62,31929111.11,921
52,38132,35161.8
29,9862,3657.3
20,029
22,35517,33177.5
16,2831,0496.1
5,024
24,69711,91848.3
11,1467726.5
12,779
5,3283,10258.22,55754517.62,227
47,79329,69962.1
27,6882,0126.8
18,094
4,5882,65257.82,29835413.31,936
4,5172,89964.22,834
652.2
1,618
2,0711,73283.61,709
231.3339
1,90183443.9809253.0
1,067
54533361.2316175.1211
4,2672,76364.82,705
592.1
1,504
250136
54.21296
4.7114
4,5312,90864.22,826
822.8
1,623
2,0711,68781.41,659
281.7385
1,93589246.1867252.8
1,043
52532962.8300298.8195
4,2672,77765.12,703
732.6
1,490
26413149.71229
6.9133
46,78028,55061.0
26,9411,6095.6
18,230
19,81015,26677.1
14,7085583.7
4,543
22,21810,50347.39,9045995.7
11,715
4,7532,78158.52,32845316.31,973
42,49926,07661.4
24,7511,3255.1
16,423
4,2812,47457.82,19028511.51,807
47,85029,44361.5
27,1602,2837.8
18,406
20,28415,64477.1
14,6241,0216.5
4,639
22,76211,02648.4
10,2797476.8
11,736
4,8032,77357.72,25751618.62,032
43,52626,92261.9
24,9851,9397.2
16,604
4,3242,52158.32,17634513.71,803
r= revised
87
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 90: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/90.jpg)
HOUSEHOLD DATAQUARTERLY AVERAGES
A-70. Employment status of the population in poverty and nonpoverty areas by race
(Number in thousands)
Employment status
Total United States
Poverty
II1979
II1980
II1979
II1980
Metropolitan a
II1979
II1980
II1979
II1980
Nonmetropolitan areas
II1979
II1980
II1979
II1980
Total
Civilian noninstitutionalpopulation
Civilian labor forcePercent of population
EmployedUnemployed
Unemployment rate .Not in labor force
White
Civilian noninstitutionalpopulation
Civilian labor forcePercent of population
EmployedUnemployed
Unemployment rate .Not in labor force
Black and other
Civilian noninstitutionalpopulation
Civilian labor forcePercent of population
EmployedUnemployed
Unemployment rateNot in labor force
28,69016,04255.9
14,7981,2457.8
12,648
20,27911,59357.2
10,9626315.4
8,686
8,4114,44952.9
3,83661413.8
3,962
29,25416,29955.7
14,6991,6009.8
12,955
20,74411,91157.4
11,0128987.5
8,833
8,5104,38851.63,68770116.0
4,123
132,49186,25165.1
81,8104,441
5.146,240
121,05178,49664.8
74,8413,6544.7
42,555
11,4407,75667.86,96978710.13,684
134,55088,20465.5
82,3185,8856.7
46,346
122,66480,18465.4
75,2494,934
6.242,480
11,8868,02067.57,06995111.9
3,866
10,8755,84953.85,19565411.25,027
5,4923,01855.0
2,7952237.4
2,474
5,3842,83152.62,40043115.2
2,553
11,2155,97653.35,17380313.45,239
5,7483,20955.82,88132710.22,540
5,4672,76850.62,29247617.2
2,700
99,00964,99665.6
61,6383,3585.2
34,013
89*07258,23265.4
55,5522,6794.6
30,840
9,9376,76468.16,08667810.0
3,172
100,20866,17566.0
61,8584,3176.5
34,033
89,86659,18665.9
55,6933,494
5.930,680
10,3426,98867.66,16582311.83,354
17,81510,19357.29,6035915.8
7,621
14,7878,57558.0
8,1674084.8
6,212
3,0271,61953.51,43618211.31,409
18,03910,32357.29,5267977*7
7,716
14,9958,70258.0
8,1315716.6
6,293
3,0431,62053.21,39422613.91,423
33,48221,25563.5
20,1721,0845.1
12,227
31,97920,26463.4
19,2899754.8
11,715
1,50399165.9883108
10.9512
34,34222,02964.1
20,4601,5697.1
12,313
32,79820,97764.0
19,5571,4406.9
11,801
1,5441,03266.890412812.4513
A-71. Unemployment rates for selected labor force groups in poverty and nonpoverty area* by sex, age, and race
Sex, age, and race
Total
Both sexes, 16 years and over
Males, 20 years and over
Females, 20 years and over . . . .
Both sexes, 16-19 years
White
Both sexes, 16 years and over . . . .
Males, 20 years and over
Females, 20 years and over . . . .
Both sexes, 16-19 years
Black and other
Both sexes, 16 years and over . . . .
Males, 20 years and over . . . . . .
Females, 20 years and over
Both sexes, 16-19 years
Total United States
Povertyareas
II1979
7.85.17.9
22.1
5.43.95.8
13.7
13.89.0
12.441.1
II1980
9.88.28.7
23.7
7.56.66.3
18.0
16.013.513.839.9
areas
111979
5.13.54.9
15.3
4.73.14.5
13.8
10.17.58.9
34.5
II1980
6.75.65.7
17.2
6.25.25.2
15.8
11.910.49.7
33.7
Metropolitan areas
Povertyareas
ii197?
11.28.0
10.531.2
7.45.97.8
15.4
15.210.812.944.9
nX980
13.411.611.333.9
10.29.28.6
23.5
17.215.013.845.2
Nan poverty
areas
1979
5.23.64.9
15.7
4.63.14.3
14.0
10.07.78.6
34.9
II^980
6.5S.55.5
17.2
5.95.04.9
15.6
11.810.49.7
33.5
Nonmetrop
Poverty
areas
ii1979
5.83.66.1
17.0
4.83.25.0
13.2
11.36.3
11.234.7
II1980
7.76.46.9
18.4
6.65.65.5
16.2
13.911.013.830.9
ttlitan areas
areas
II1979
5.13.35.2
14.2
4.83.24.9
13.3
10.96.4
10.632.3
II1980
7.15.96.3
17.2
6.95.76.1
16.4
12.410.210.334.3
88
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 91: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/91.jpg)
HOUSEHOLD DATAQUARTERLY AVERAGES
A-72. Unemployed persons by family relationship end presence of employed family members
(Numbers in thousands)
FamilvTot»l
II1Q7Q
Perctnt of unemployed:
With no With at leastone employed
family family
With at leastone person in
family em*ployed full
time
II1980
Total
Percent of unemployed:
With noemployedperson infamily
With at leastone employed
person infamily
With at leastone person in
family em-ployed full
time
TOTAL
Unemployed, total
Unemployed, in families1
Husbands2
WivesRelatives in husband-wife families , . .
Women who head familiesRelatives of female heads
Unemployed, not in families3
White
Unemployed, total
Unemployed, in families'Husbands2
WivesRelatives in husband-wife families . . .
Women who head familiesRelatives of female heads
Unemployed, not in families3
Black4
Unemployed, total
Unemployed, in families'Husbands2
WivesRelatives in husband-wife families . . ,
Women who head familiesRelatives of female heads
Unemployed, not in families3
5,6854,917
1,705
4C5735768
4,2853,702847877
1,367
229382583
,277
,112157158302
170325165
I37.728.0
8:18.983.034.0
35.124.948.613.37.5
76.430.4
46.3
38.347.817.713.9
91.838.5
62.372.051.586.291.1
17.066.0
64.975.151.486.792.5
23.669.6
53.7
61.752.282.386.1
8.261.5
56.164.940.380.986.8
11.454.4
58.968.239.681.888.4
15.759.2
46.8
53.743.974.780.5
5.348.6
7,4856,3831,7341^2522,113
418866
.1,102
.5,8334,9871,4551,0571,747
247481846
1,489
1,257242161322
161371232
40.129.846.815.911.9
80.934.6
38.027.547.914.211.2
77.328.7
48.038.438.824.815.587.642.6
59.970.253.284.188.1
19.165.4
62.072.552.185.888.822.771.3
52.061.661.275.284.512.457.4
52.962.040.9*77.482.813.654.4
55.164.439.779.283.9
16.660.3
44.752.949.267.777.6
8.146.9
In primary families only.2 Includes a small number of single, separated, widowed, or divorced men who head
families.
3 Includes unrelated individuals and persons in secondary families.4 According to the 1970 Census, black workers comprised about 89 percent of the
"black and other" population group.
89
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 92: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/92.jpg)
HOUSEHOLD DATAQUARTERLY AVERAGES
A-73. Employed persons by family relationship and presence of additional employed family members
(Numbers in thousands)
Family relationshipTotal
employed per- employed- person in family
II1979
Percent of employed:
With no other With anotherdper
son in family
With anotherperson in
family em-ployed full
time
Total With no otheremployed per- employed per-
i l1980
Percent of employed:
son in family
With another
son in family
With anotherperson in
family em-ployed full
time
TOTAL
Employed, total
Employed, in families1
Husbands2 , . .WivesRelatives in husband-wife families .
Women who head familiesRelatives of female heads .
Employed, not in families3 .
Employed, total
Employed, in families
96,610
82,645
39,740
22,017
12,914
4,5613,413
13,965
85,805
73,564
Wives ,Relatives in husband-wife families
Husbands2 j 3 6 , 1 2 719,70011,729
3,3702,63812,241
Women who head families .Relatives of female heads ,
Employed, not in families3 ..
Black4
Employed, total
Employed, in families1
Husbands2
WivesRelatives in husband-wife families ,
Women who head familiesRelatives of female heads
Employed, not in families3 .
9,074
7,627
2,9771,887952
1,097714
3,188
37.7
27.2
39.98.46.1
66.227.4
37.2
26.8
40.38.05.9
63.627.1
42.9
32.036.612.98.4
74.829.3
62.3
72.8
60.1
91.6
93.9
33.8
72.6
62.8
73.259.792.094.1
36.4
72.9
57.1
68.063.487.191.6
25.270.7
53.6
62.7
44.2
87.6
90.6
23.763.4
53.9
62.843.488.190.9
25.3
63.9
50.6
60.253.082.586.3
18.260.6
97,017
82,53239,09122,66012,603
4,6773,501
14,485
86,262
73,59035,68720,33111,422
3,4672,683
12,672
9,021
7,4642,7981,870
914
1,128754
1,557
37.9
27.039.09.36.4
66.727.9
37.426.639.48.86.2
64.728.4
43.6
31.835.014.710.0
73.226.9
62.1
73.061.090.793.6
33.372.1
62.6
73.460.691.293.8
35.371.6
56.4
68.265.085.390.0
26.873.1
52.962.244.485.889.523.261.5
53.262.343.586.589.9
24.461.5
49.059.253.679.383.6
19.060.6
See footnote 1, table A-72See footnote 2. table A-72.
See footnote 3, table A-72.See footnote 4, table A-72.
90
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 93: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/93.jpg)
B-1. Employees on nonagricuttural payrolls by industry division. 1920 to date
ESTABLISHMENT DATAHISTORICAL EMPLOYMENT
Mining
Transpor-tation
public
Wholesale and retail trade Finance,insurance,
19201925192619271928192919301931
1932193319341935193619371938193919401941
1942194319441945194619471948194919501951
19521953 . . .195419551956.1957'19581959J19601961
19621963.1964196519661967196819691970197119721973197419751976, . .197719781 9 7 9 , . . .1979:
J U V . . . . . . .J t J L . . . . . . .AUGS E P * . . . . . .O C T . . . . . . .HOTD E C . . . . . . .
1980sJAIF E B . . . . . . .BAR , . .APSBATP . . . . .JUN.P • • • •
27,34028,76629,80629,96229,98631,32429,40926,635
23,61523,69925r94027,03929,06831,01129,19430,60332,36136,53S
40,10642,43441,86440,37441,65243,85744,86643,75445,19747,819
48,79350,20248,99050,64152,36952,85351,32453,26854,18953,999
55,54956,65358,28360,76563,90165,80367,89770,38470,88071,21473,67576,79078,26576,94579,382B2,*7186,69789,886
90,91490,01890.09390,62991,06291,28891,394
B9,630B9,781JO,31690,76190,98891,090
12,76012, 48912,91112,73812,61813, 30111,95810,272
8, 6478, 96510,26110,89311,93312,93611,40112,29713,22115, 963
18,47020, 11419,32817, 50717, 2481.8, 50918. 77417, 56518, 50619,959
20, 19821, 07419,75120, 51321, 10420, 96419,51320,41120, 43419,857
20,45120, 64021, 00521,92623, 15823,308,23,73724,36223,57722,93523,66824,89324*79422,60023,35224,34625,58526,504
27,01026,84626,94827,07926,96926,7 3926,508
25,95325,82625,93925,85025,75225,805
1,2391,0891,1851,1141,0501,0871,009
873
731744883897946
1,015891854925957
992925892836862955994930901929
898866791792822828751732712672
650635634632627613606619623609628642697752779813851960
971979989983984986985
982987996
1,0061,0241,040
8631,4611,5701,6231,6211,5121,3871,229
985824877927
1,1601,1271,0701,1651,3111,814
2,1981,5871,1081,1471,6832,0092,1982,1942,3642,637
2,6682,6592,6462,8393,0392,9622,8173,0042,9262,859
2,9483,0103,0973,2323,3173,2483,3503,5753,5883,7043,8894,0974,0203,5253,5763,8514,2294,483
4,7084,8134,8634,8014,7924,6984,536
4,1944,1094,1504,3114,4774,609
10,6589,939
10,15610,0019,947
10,7029,5628,170
6,9317,3978,5019,0699,827
10,7949,440
10,27810,98513,192
15,28017,60217,32815,52414,70315,54515,58214,44115,24116,393
16,63217,54916,31416,88217,24317,17415,94516,67516,79616,326
16,85316,99517,27418,06219,21419,44719,78120,16719,36718,62319,15120,15420,07718,32318,99719,68220,50521,062
21,33121,05421,09621,29521, 19321,05520,987
20,77720,73020, 79320,53320,25120, 156
14,60516,30416,92317,25317,39718,05317,48116,392
14,99614,76115,70716,17517,16418,10517,82316,54417,30418,615
19,73020,49820,69220,92022,11225,34826,09226,18926,69027,861
28,59529,12729,23830,12831,26431,88831,81032,85833,75634,142
35,09836,01437,27738,83840,74442,49644,15846,02247,30248,27650,00751,89753,47154,34556,03058,12561,11363,382
63,90463,17263, 14563,55064,09364,54964,886
63,67763,95564,37764,91165,23665,285
3,9983,8263,9423,8953,8283,9163,6853,254
2,8162,6722,7502,7862,9733,1342,8632,9363,0383,274
3,4603,6473,8293,9064,0614,1664,1894,0014,0344,226
4,2484,2904,0844,1414,2444,2413,9764,0114,0043,903
3,9063,9033,9514,0364,1584,2684,3184,4424,5154,4764,5414,6564,7254,5424,5824,7134,9235,141
5,2195,1875,1975,2295,2335,2435,240
5, 1365,1305,1435,1475,1625,194
4,4675,5765,7845,9085,8746,1235,7975,284
4,6834,7555,2815,4315,8096,2656,1796,4266,7507,210
7,1186,9827,0587,3148,3768,9559,2729,2649,3869,742
10,00410,24710,23510,53510,85810,88610,75011,12711,39111,337
11,56611,77812,16012,71613,24513,60614,09914,70515,04015,35215,94916,60716,98717,06017,75518,51619,54220,269
20,32120,25420,29620,42520,47420,75621,114
20,32520,15520,22620,37320,50620,525
1,7621,8351,960
1,9061,8221,8451,9492,2912,4712,6052,6022,6352,727
2,8122,8542,8672,9263,0183,0282,9803,0823, 1433,133
3,19 83,2483,3373,4663,5973,6893,7793,9073,9934,0014,1134,2774,4334,4154.5464,7084,9695,204
5,2455,2435,2435,2395,2665,2825,264
5,2415,2505,2695,2655,2635,283
4,6644,9145,251
5,2125,1605,2145,3656,0846,4856,6676,6626,7517,015
7,1927,3937,3687,610.7,8407,8587,7708,0458,2488,204
8,3688,5308,8239,2509,6489,917
10,32010,79811,04711,35111,83612,32912,55412,64513.20913,80814,57315,066
15,07615,01115,05315,18615,20815,47415,850
15,08414,90514,95715,10815,24315,242
1,1601,2181,2901,3521,4201,4941,4601,392
1,3261,2801,3041,3201,3731,4171,4101,4471,4851,525
1,5091,4811,4611,4811,6751,7281,8001,8281,8881,956
2,0352,1112,2002,2982,3892,4382,4812,5492,6292,688
2,7542,8302,9112,9773,0583,1853,3373,5123,6453,7723,9084,0464,1484,1654.2714,4674,7244,974
5,0195,0485,0685,0155,0255,0395,047
5,0525,0615,0855,1045,1395,205
2,3522,8573,0333,1543,2513,4253,3613,169
2,9182, 86'13,0453,1283,312315033,4583,5023,6653,905
4,0664,1304,1454,2224,6975,0255,1815,2405,3575,547
5,6995,8355,9696,2406,4976,7086,7657,0877,3787,620
7,9828,2778,6609,0369,49810,04510,56711,16911,54811,79712,27612,85713,44113,89214.55115,30316,25217,078
17,26517,32417,31517,23817,29717,28417,271
17,13517,31717,47817,63617,75617,812
2,6032,8002,8462,9152,9953,0653,1483,264
3,2253,1663,2993,4813,6683,7563,8833,9954,2024,660
5,4836,0806,0435,9445,5955,4745,6505,8566,0266,389
6,6096,6456,7516,9147,2787,6167,8398,0838,3538,594
8,8909,2259,596
10,07410,78411,39111,83912,19512,55412,88113,33413,73214,17014,68614.87115,12715,67215,920
16,08015,35915,26915,64316,06416,22716,214
16,02916,29216,44516,65116,67316,549
533526560
559565652753826833829905996
1,340
2,2132,9052,9282,8082,2541,8921,8631,9081,9282,302
2,4202,3052,1882,1872,2092,2172,1912,2332,2702,279
2,3402,3582,3482,3782,5642,7192,7372,7582,7312,6962,6842,6632,7242,7482.7332,7272,7532,773
2,8242 ,8382,8442,7512,7562,7602,770
2,7632,8032,8693,1033,0973,121
2,5322,6222,704
2,6662,6012,6472,7282,8422,9233,0543,0903,2063,320
3,2703, 1753,1163,1373,3413,5823,7873,9484,0984,087
4,1884,3404,5634,7275,0695,3995,6485,8506,0836,315
6,5506,8687,2487,6968,2208,6729,1029,4379,823
10,18510,64911,06811,44611,93712,13812,39912,91913,147
13,25612,52112,42512,89213,30813,46713,444
13,26613,48913,57613,54813,57613,428
1 Data include Altska and Hawaii beginning 1959. This inclusion has resulted in an increase of212,000(0.4 percent) in the nonagricultural total for the March 1959 benchmark month.
p=preliminary.
NOTE: In accordance with usual practice, BLS has revised establishment survey datato reflect a new benchmark and updated seasonal adjustment factors. Because ofthese revisions, data beginning in 1977 may differ from data published earlier. See arti-cle in this issue for additional information.
91
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 94: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/94.jpg)
ESTABLISHMENT DATAEMPLOYMENT
B-2. Employees on nonagricultural payrolls by industry
[In thousand!]
1972SIC
M l «JM|MU|*W
Hay1979
90,081
73,919
947
98.824.432.1
262.8259.6
460.7
192.7268.0
124.642.438.724.3
4,500
1,278.9631.5
85.6561.8
949.3297.9651.4
2,271.5542.8148.8389.0365.4130.1164.91
21,079
12,824
8,255
771.684.9
237.6197.034.0
229.678.454.528.650.248.586.058.885.0
495.1328.5148.2101.031.831.548.926.263.827.7
Jun«1979
90,914
74,834
971
102.224.933.3
264.5261.3
476.1
200.5275.6
128.443:340.924.7
4,708
1,345.8663.3
91.1591.4
1,015.2331*0684.2
2,346.5556*4161.1401.1375.6132.2172.4
21,331
12,965
8,366
791.392.8
243.8202*4
34.3231,477.855.528.551.048.689.060.885.7
496.1328.8148*7102.130.831.948.626.165.527.1
Ipr.1980
$0,761
74., 110
1,006
103.322.335.0
263*3260.1
520*2
209.9310.3
119.439.635.125.2
4,3)1
1,172.3537.471.7
563,2
848*4241*4607.0
2,290.0555.9150.8410.7374.0116.0169.0
20,533
12,414
8,119
678.477.2
212.0174.430.6
194*767.347*026.939.244,467.248.382.9
488.7320.5144.599.031.729*850.825.963.727.8
Ha*1980?
90,988
74,315
1,024
105.322.735.7
258.5255.3
537.2
213.8323.4
122.840.337.525.4
4,477
1,214.9563.969.9
581*1
512.5287.0625*5
2,349.5560.9159.0413.5379.8119.7172.3
20, 251
12, 153
8,098
656.879.3
205.1167.830,0
186*162.445.925.638.543*962,043.780.4
468.5307.1141.294.129.227.449.524.660*227*1
June1980 P
91,090
74,541
1,040
--
-
-
-
•
-
4,609
—--
-
-
-•-
20,156
12,022
8,134
666.4---•---.
----
455*4---
--mm
Hay1979
60,46$
712
75.619.624.7
218.9216.0
317.8
91.7226.1
99.635.9--
3,606
997.7481.856.1
459.8
793,0258.6534.4
1,815.6411.6125.6304.9317.9101*3133*9
15,141
9,201
5,940
658.469.4
212.4176.629.8
193.564,146,025*643.. 642.968*748*971*5
401*7275*912$* 183.425*324*339*119.948*018.8
Jane1979
61,242
729
78.420.025.6
220.1217,3
328.1
95.3232,8
102.436,6
-
3,793
1,056*2506,760,4
489*1
855,3290*0565*3
1,881,6423.5136,1314,6328*7103*1139,9
15,328
9,299
6,029
676.977*4
218.4181.930*1
195*063*446*925.444.542*871.250.672*1
403*7277*1129*984.624.624*738*619.849*618,6
1980
60,311
750
78.417.327.2
219.2216.3
359.2
96.8262.4
93,532.8
-
3,369
891.7388,4
43,1460.2
677.9201.4476.5
1,799.4415.8125.6315.9322,2
66,4136.2
14,466
8,672
5,794
567.062.6
187,5154,426.6
159.353.438.923.733.238,550.337.868.8
396,8270.4125.7
82,326*022.839.919.248.019,3
198CP
60,466
764
79.917.827.7
213.4210.6
374.6
99.4275.2
96.233.4
-
3,530
934.3414.7
41.4478.2
740.7246.3494,4
1,855.2419,0134.1319.4327.0
89.6138.9
14,170
8,410
5,760
546.664.9
180,7148.026.0
151.348.737.822.432.837.945.433.166.4
376,8256.6122.477.323.320.438.718.244.618.7
Jane .1980 p
60,617
772
—
<*
-
-
<•>
3,648
-
•-
-
14,087
8,285
5,802
557.2
-
363,6
- **
•
10101102
11.1212
13131.2
138
14142144147
15152153154
16161162
17171172173174175176
24. 25,32-39
20-23.26-31
242412422421242624324312434243524362442452451249
252512511251225142515252253254259
TOTAL
PRIVATE SECTOR
MINING
METAL MININGIron oresCopper ores
COAL MININGBITUMINOUS COAL AND LIGNITE MINING
OIL AND GAS EXTRACTIONCrude petroleum, natural gas, and natural gas
liquidsOil and gas field services
NONMETALLIC MINERALS. EXCEPT FUELS . . . .Crushed and broken stoneSand and gravelChemical and fertilizer minerals
CONSTRUCTION
GENERAL BUILDING CONTRACTORSResidential building constructionOperative buildersNonresidential building construction
HEAVY CONSTRUCTION CONTRACTORSHighway and street constructionHeavy construction, except highway
SPECIAL TRADE CONTRACTORSPlumbing, heating, air conditioningPainting, paper hanging, decoratingElectrical workMasonry, stonework, and plasteringCarpentering and flooringRoofing and sheet metal work
M A N U F A C T U R I N G
DURABLE GOODS
NONDURABLE GOODS
DURABLE GOODS
LUMBER AND WOOD PRODUCTS
Logging camps and logging contractorsSawmills and planing mills
Sawmills and planing mills, generalHardwood dimension and flooring
Millwork, plywood, and structural membersMillworkWood kitchen cabinetsHardwood veneer and plywoodSoftwood veneer and plywood
Wooden containersWood buildings and mobile homes
M0D1I6noni0s . . « . • • • • « • • •Miscellaneous wood products
FURNITURE AND FIXTURESHousehold furniture
Wood household furnitureUpholstered household furnitureMetal household furnitureMattresses and badsprings
Office furniturePublic building and related furniturePartitions and fixturesMiscellaneous furniture and fixtures
S M footnotes at end of table.
9 2
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 95: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/95.jpg)
ESTABLISHMENT DATAEMPLOYMENT
B-2. Employees on nonagrlcuttural payrolls by industry—Continued
[In thousands)
1f72SIC
Way1979
717.520.6
133.575.558.046.132.952.647.5
220.224.672 .£
100.9151.129.923.032.8
1,265.1575.8482.931.0
246.1152.122.359.771.336.1
220.734.837.389.7
100.958.6
1,725.781.767.2
186.764.6
106.474.828.335.0
518.1102.584.7
150.0111.030.8
116.154.561.6
312.559.3
122.0120.1109.074.934.164.428.2
262.4104.955.0
2,483.3144.041.3
102.7186.4162.7395.3172.5
Jane1979
732.. 020.5
134.675.958.747.533.753.648.1
227.024.974.6
104.9153.830.323.333.6
1,281.1585.5491*231.1
247.9153.422.160*372.637*0
223.235.537.890.2
100.758.5
1,746.8• 82.7
67.9187.765*7
106.376.228.735.9
528.4105.087*9
150.4113.431.3
117*355.062.3
313.659.5
120.9122.1110.375.335.065.128.5
265.5105.856.1
2,511*4150.941.3
109.6187.8164.2399.3173.1
ipr*1980
675.517.6
128.469.459.045.931.846.847.1
199.621,465.791*4
145.830.020.532.4
1,193.8538.6451.029.1
217.4127.517.959.171.436.3
218c 232.537.090.895.656.0
1,671.478.564.1
174,. 962.297.174.027*535.4
519.0108.281.2
148.6111.332.3
114.954.060.9
275.455*390*0
118*6111.174.037.161.827.6
261.8107.055.3
2,523.5137.739.598.2
170.6148.5400.5162.8
Ha1980 p
667.716.7
128.169.358.844.531.644.745.3
204.821.666.196.4
139.629*618.231.2
1,148.8519.1435.927.6
208.8121.917.157*471.736*5
208*829« 636.985.589.251.9
1,621.477.663.2
166.859*691.969.925.633.6
510.2107.575.6
149.4109.131.9
111.352.558.8
261.452.683.9
113.4107.972.435.561.627.3
254.7104.953.5
2,506.8138.339.698.7
175.8156.3397.1159.8
June1980 p
662.7-----
-----
--
1,107.7•_-----
--
--
-
1,588.4-•
---—-•
—---•----
-
_---
--
2,478.7--_----
Hay1979
567. 216.3
114.666.548.133.226.441.040.2
172. 117.655.181.3
112.920.417.7-
999.0457.4384.924*6
201.2126.5
18.147.755.429.2
162.627.528*666.983*849.3
1,308.069.657.6
145.951.083.555.123.123.8
363.574.062.7S7.081.322.391.445.246.2
253*547.4
102.994.689.062.027.044.719.5
195.373.342.3
1,640.694.721.473.3
133.2116.4264. 5117.9
Jane1979
580*916.0
115.466*848.635.127.242*040.4
178.917*957.485.0
115.320.8
^18.2-
1,011.9465.0391.324.6
203*3127.9
17.748.456.529.8
164.428.129*067,083.549*3
1,325*870.458.1
146.651*883,356*323.624*5
373.075.965.897.583.822.792.645.746.9
253.547.2
101.696.190*662.428.245.119.7
197.773.743.5
1,655.799*621.278*. 4
132.9116.4266.0117.7
ipr.1980
526.313.5
109.460.848.633.925.435.239.1
152.814.749.471.6
106*820.415.7-
926.342C.6353.4
22.4175.4104.6
13*947.054.428.6
158.324.828.366.477.346.2
1,246.566.354.4
133*948.474.053.822.423.8
359.477.959.093.681.223.290.044.545.5
217.643.272.692.890.260.529.741.618.7
193.773.843.7
1,63 8.690.120.269.9
117.5102.0264.3109.8
Hay1980 p
517.912.5
108.860.748.131.925.233.637.4
158*015.049.776.6
100.419.813.5-
881.3401.3338.4
21.0166.799.013.045.454.828.7
148.521.928.160,871.042.0
1,198.365.553.6
125.945.768.849.520.421.8
351.177.653*994.079.222.486.442.943.5
204.140.666.887.786.658.727.941.518.4
187.772.241.8
1,619.789.620.269.4
122.5109.6261.6107.6
Jane1980 P
513.5-----
------
---
843.7—•-----------—-
1,170.9-•--_-—-------
--------•-
-
1,594.0-----__
3232132232213229323324325326327327132723273329329132923298
333313312331733233213322332533333343353351335333573363361
3434134113423423.5342934334323433344344134423443344434463453451345234634623465346934734713479348348334934943496
353513511351935235233633531
STONE. CLAY, AND GLASS PRODUCTSFlatglassGlass and gltsswart, pressed or blown
Glass container*Pressed sno Wown QIMS, n9c . • • . • • • • . « . • • •
Product! of purchased glassCement, hydraulicStructural day product*Pottery and related productsConcrete, gypsum, and plaster products
Concrete block and brickConcrete products, neeReady-mixed concrete
Misc. nonmetallic mineral productsAbrasive productsAsbestos productsMineral wool
PRIMARY METAL INDUSTRIESBlast furnace and basic steel product*
Blast furnaces and steel millsSteel pipe and tubes
Iron and steel foundriesGray iron foundriesMalleable iron foundriesSteel foundries, nee
Primary nonferrous metalsPrimary aluminum
Nonferrous rolling and drawingCopper rolling and drawingAluminum sheet, plate, and foilNonferrous wire drawing and insulating
Nonftrrous founclri0$ * * * • • • • •Aluminum foundries
FABRICATED METAL PRODUCTSMetal cans and shipping containers
Metal cansCutlery, hand tools, and hardware
Hand and edge tools, and hand saws and bladesHardware, nee
Plumbing and heating, except electricPlumbing fittings and brass goodsHeating equipment, except electric
Fabricated structural metal productsFabricated structural metalMetal doors, sash, and trimFabricated pla.te work (boiler shops)Sheet metal workArchitectural metal work
Screw machine products, bolts, etcScrew machine productsBolts, nuts, rivets, and washers
Metal forgings and stampingsIron and steel forgingsAutomotive stampingsMetal stampings, nee
Metal services, neePlating and polishingMetal coating and allied services
Ordnance and acessories, neeAmmunition, exc. for small arms, nee
Misc. fabricated metal productsValves and pipe fittingsMisc. fabricated wire products
MACHINERY, EXCEPT ELECTRICALEngines and turbines
Turbines and turbine generator settInternal combustion engines, nee
Farm and garden machineryFarm machinery and equipment
Construction and related machineryConstruction machinery
See footnotes at end of table.
93
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 96: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/96.jpg)
ESTABLISHMENT DATAEMPLOYMENT
B-2. Employees on nonagricuttural payrolls by industry—Continued
[In thousands]
1972SIC
Code Hay1979
Jane1979
Apr.1980
Hay1980 P
June1980 P
Production workers
Hay1979
Jane1979
Apr,198C
Hay1980P
Juue1980?
353235333535353735435413542354435453546355355135523555356356135623563356435663568357357335835853593592
36361361236133623621362236336323633363436436413643364436453653651366366136623673671-3367436793693691
373713711371337143715,6372372137243728373373137323743763761
MACHINERY, EXCEPT ELECTRICAL—ContinuedMining machineryOil field machineryConveyers and conveying equipmentIndustrial trucks and tractors
Metalworking machineryMachine tools, metal cutting typesMachine tools, metal forming typesSpecial dies, tools, jigs, and fixturesMachine tool accessoriesPower driven hand tools
Special industry machineryFood products machineryTextile machineryPrinting trades machinery
General industrial machinery ,Pumps and pumping equipmentBall and roller bearingsAir and gas compressorsBlowers and fansSpeed changers, drives, and gearsPower transmission equipment, nee
Office and computing machinesElectronic computing equipment
Refrigeration and service machineryRefrigeration and heating equipment
Misc. machinery, except electricalCarburetors, pistons, rings, valvesMachinery, except electrical, nee
ELECTRIC AND ELECTRONIC EQUIPMENT . . . .Electric distributing equipment
TransformersSwitchgear and switchboard apparatus
Electrical industrial apparatusMotors and generatorsIndustrial controls
Household appliancesHousehold refrigerators and freezersHousehold laundry equipmentElectric housewares and fans
Electric lighting and wiring equipmentElectric lampsCurrent-carrying wiring devicesNoncurrent-carrying wiring devicesResidential lighting fixtures
Radio and TV receiving equipmentRadio and TV receiving sets
Communication equipmentTelephone and telegraph apparatusRadio and TV communication equ ipment . . . .
Electronic components and accessoriesElectronic tubesSemiconductors and related devicesElectronic components, nee
Misc. electrical equipment and suppliesStorage batteriesEngine electrical equipment
TRANSPORTATION EQUIPMENTMotor vehicles and equipment
Motor vehicles and car bodiesTruck and bus bodiesMotor vehicle parts and accessoriesTruck trailers and motor homes
Aircraft and partsAircraftAircraft engines and engine partsAircraft equipment, nee
Ship and boat building and repairingShip building and repairingBoat building and repairing
Railroad equipmentGuided missiles, space vehicles, parts
Guided missiles and space vehicles
2 ,
34.084.632.838.8
364.876.026.8
136.667.232.6
204.346.626.636.8
326.364.556.731.942.426.225.5
387.2310.1194.0135.0281.043.0
238.0
110.5125.855.770.1
253.4133.571.1
178.140.322.853.1
227.038.091.425.926.5
112.586.2
519.4166.53S2.9515.042.7
193.8203.9179.332.190.6
,127.7,050.2499.547.4
461,841.5
602.5329.3149.2124.0226.4170.755.772.9
100.579.8
34.485.733.339.6
370.377.227.2
138.168.833.2
206.446.827.137.3
327.964.057.431.942.226.625.7
394.0316.3190.8131.5284.043.3
240.7
2,144.4126.756.470.3
257.1134.173.0
180.440.523.553.3
230.238.493.126.227.1
115.287.2
525.4168.2357.2528.843.3
199.3209.1180.631.891.2
2,114.21,033.6
480*348.4
463.041.9
608.3332.1151.0125.2225.8172.853.073.2
101.*80.8
35.393.033f240.2
380.681.028.2
136.272.936.7
211.547.828.239*6
329.963.359.631.543.026.824.3
423.8346.5179.1120.6289.841.7
248.1
2,156.2.122.754.768.0
249.9128.471.8
172.936.021.553-1
222.836,695.325.225.1
109.485-4
551.3178.4372.9560-545-2
218.7217.8166.731.176.2
1,891.1778.8346.940.3
357.534.1
649.0349.6161.0138.4215.9171.944.073.1
109.786.9
34.994.533.438.8
375-881.527.7
134-372-234.8
209.847.927.739.4
323.962.757.631.242.026.523.8
426.3348.6173.4115-6286.440.7
245.7
2,120.1121.353.967.4
243.6122.871.6
165.334.319.951.8
214.936.093.723.923.0
104.581.6
54.9.9176.3373.6559.345.4
220.4215.8161.329.473.0
1,836.7732.0326.637.4
336.931 .1
651% 3349.9162.4139.0209.9168.541.472.6
110.487-6
2f101.9
1,836.1
21.658.320.127.0
269.651.017.6
110.248-524.8
131.430.018.922.3
216.639.443.318.727.417-918.7
172.6127.1139.698.8
218.434.4
184.0
1,389.891P039-851.2
183.8101-946.4
141.032.817.942.1
172.533. 764.219.120.682.762.2
261.7116.8144.9324.2
27.691.4
145.2132.925.570.4
1,478.9823.6377.138.2
375.532.8
328.9163.586.179.3
181.9136.145.856.132.223.4
21-858.520.227-4
273.451.217.9
111.449.925.4
132.930.219.322.6
£17.538.944.118.827.118-318.8
176-1129.9136.395.2
221.034.6
186.4
1,411.991,740.651.1
186.6102.248.0
142.933.018.642.2
175.134.065.819.321.085*362.9
263.7117.9145-8332.7
27.893.2
149-2133.925.470-8
1,459.1804.8357.238.9
375-633.1
331-1164.586.879.8
181.6138.343.356.032.924.0
22.163.818.827.2
280.754.618.5
109.452.528.6
135.930.720.124.6
21€.937.946.918.726.118.617.4
185.0140.3124.4
84.1223.833.2
190.6
1,392.786.238.447.8
179.097,545.6
137.129.216.743.0
167.232,367.018.319.279.660.2
277.8125.0152.8345.6
28.5100.3153.712C.224.157.2
1,227.562.232,
31.274.
25.355.174.
92,88.
171.135,36.55.35,26.
21.665.119.026.0
275.454.818.1
107.351.826.6
134.730.719.724.8
211.037.344.318.525.418.116.9
185.1140.2119.279.8
220.632.3
188.3
1,354.784.437.846.6
172.291.945.1
130.527.415.242.3
159.731.765.417.217.275.356.9
275.2122.1153.1342.6
28.6100.8151.5114.822.454.1
1,172.9516.5210.2
28.7254.9
22.7356.9174.793.588.7
166.7132.933.855.335.726.7
1,329.4
1,172.4
See footnotes at end of table.
94
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 97: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/97.jpg)
ESTABLISHMENT DATAEMPLOYMENT
B-2. Employees on nonagricuttural payrolls by industry—Continued
[In thousands)
1972SIC
Code Hay1979
June1979
Apr.19eo
Hay198Cp
June1980P
Production workers1
Hay1979
June1979
Apr.198C
May1980 p
June1980P
3793792
3838138238223823382538338438413842
387
39
391
39113933943942,439493953963961399
2020120112013201620220222026203203220332037204204120482052051205220620613206520720820822086209
21211
222212222232242252251225222532254
TRANSPORTATION EQUIPMENT—ContinuedMiscellaneous transportation equipment .
Travel trailers and campers
INSTRUMENTS AND RELATED PRODUCTS..Engineering and scientific instruments ,Measuring and controlling devices
Environmental controlsProcess control instruments
Instruments to measure electricityOptical instruments and lensesMedical instruments and supplies
Surgical and medical instrumentsSurgical appliances and supplies
Ophthalmic goodsPhotographic equipment and suppliesWatches, clocks, and watchcases
MISCELLANEOUS MANUFACTURINGINDUSTRIESJewelry, silverware, and plated ware
Jewelry, precious metalMusical instrumentsToys and sporting goods
Dolls, games, toys, and children's vehicles . .Sporting and athletic goods, nee
Pens, pencils, office and art suppliesCostume jewelry and notions
Costume jewelryMiscellaneous manufactures
Signs and advertising displays
NONDURABLE GOODS
FOOD AND KINDRED PRODUCTSMeat products
Meat packing plantsSausages and other prepared meatsPoultry dressing plants
Dairy productsCheese, natural and processedFluid milk
Preserved fruits and vegetablesCanned specialtiesCanned fruits and vegetablesFrozen fruits and vegetables
Grain mill productsFlour and other grain mill productsPrepared feeds, nee
Bakery productsBread, cake, and related productsCookies and crackers
Sugar and confectionery productsCane and beet sugarConfectionery products
Fats and oilsBeverages
Malt beveragesBottled and canned soft drinks
Misc. foods and kindred products
TOBACCO MANUFACTURESCigarettes
TEXTILE MILL PRODUCTSWeaving mills, cottonWeaving mills, syntheticsWeaving and finishing mills, woolNarrow fabric millsKnitting mills
Women's hosiery, except socksHosiery, neeKnit outerwear millsKnit underwear mills
56*334.5
684.671.6
232.148.651.192.531.3
141.361.562.346.2
133 .728.4
442.960.539.723.7
119.156.662.538.759.432.5
141.548.0
1,679.3351.6160.668.5
107.9180.632,5
110.5228.623.979.950.7
142.124.957.7
232.3188.643.7
101.527.354.443.9
235.251.5
140.0163.5
64.845.0
889.2151.1121.920.126.3
228.430.933.571.432,0
51.629.. 9
696.573.0
235.649.251.094.932.2
143,061.863,546.6
137.628.5
451.660.139.423.5
124.461.263.239.160.833.9
143.748.8
1,727.5361.3160.969.5
115.5185.234.2
111.6244.323,688.054.1
144.125.159.1
233.7189.943.8
102.527.154.543.3
242.853.1
144.7170.3
65.045.6
897.1151.3122.920.226.4
232.731.534.173.532.2
43.121.5
702,277.3
239.647.652.498.434.8
146.263,965.647.8
132.024.5
433.056.136.222.2
119.555.064.540.854*828.6
139.646.6
1,626.2256.3161.067.2
112.3176^332.5
107.8198,723.470.638.8
139.624.557.3
229.8185.544.393,521.452.343.2
231.750.9
140.4157. 1
62.944.3
882.1152.8120.619.925.0
232.631.433.775.831.8
40.219.5
700.477.3
238.146.152.698.434.9
146.664.465.547.7
132.922.9
425.955.735.620.2
119.057.261.840.353.327.3
137.446.2
1,637.0359.4161.268.4
114.5178.032.8
108.4200.822.470.94 0.9.
139.224.457.1
230.9187.243.793.122.651.442.9
233.451.4
142.0159.3
62.543.8
869.3152.7119.419.324.2
232.131.233*476.332.1
702.9
422.1
1,677.6
64.3
861.7
41.226.6
419.635.9
149.734,027.759.317.593.540.541.433.867.222.0
337.644.228.419.591.542.149.427.747.726.3
107.034.6
1,139.0291.5129.450.499,095.925.447,6
183.816.463.244A 498.015.538.2
135.6101.634.074.618.941.931.6
109.035.648.7
119.0
50.935.0
774.7136.4109.216.823.0
1S7.327.730.661.227.4
36.22.1
426.736.. 5
15U834.627.260.818.194.740.842.234.369.322.0
346.044.028.319.296.346.350.028.249.127.5
109.235.4
1,183.2301.3130.351.4
106.1100.326.848.3
198.516.270.647.599.715.739.6
137.2103.034.275.418.741.930.9
113.736.951.1
126.2
50.735.5
782.4136.4110.017.023.1
201.528.331.163.127.8
28.214.8
422.638.1
151.133,027.360.819.296.042.143.334.765.118.4
328.039.425.418.191.540.65C.929.043.822.4
106.233.8
1,096.6295.6131.149.0
101.895.025.047.6
158.916.956.333.195.315.136.8
133.799.234.568.214.440.331.4
103.233.247.3
115.3
47.933.8
769.4137.7108.316.522.1
202.428.43C.865.327.4
25.313.1
419.937.7
149.832.127.960.419.095.942.542.834.366.017.2
321.639.524.916.390.642.648.028.442.521.3
10 4.333.5
1,105.8298.9131.549.9
104.396.425.247.9
161.015.956.435.495.314.936.8
133.9100.233.767.615.239.531.1
104.133.847.9
117.5
47.533.2
756.3137.3107.115.921.1
201.628.230.565.527.7
423.0
317.1
1,144.2
48.1
750.0
See footnotes at end of table.
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 98: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/98.jpg)
ESTABLISHMENT DATAEMPLOYMENT
B-2. Employees on nonagricurtural payrolls by industry—Continued
[In thousands]
1972SIC
Code Bay1979
June1979
Apr.1980
Hay-198&P
June1980 P
Bay1979
June1979
lpr .1980
Ha?1980 p
June1980?
22572262261226222722822812282229
232312322321232723282332331233523372339234234123422362361238239239123922396
26261.2,6262263264264126422643265265126532654
272712722732731273227427527512752276278279
28281281928228212824283283428428412844
2842,3285
TEXTILE MILL PRODUCTS—ContinuedCircular knit fabric mills
Textile finishing, except woolFinishing plants, cottonFinishing plants, synthetics
Floor covering mills.Yarn and thread mills
Yarn mills, except woolThrowing and winding mills
Miscellaneous textile goods
APPAREL AND OTHER TEXTILE PRODUCTSMen's and boys' suits and coatsMen's and boys' furnishings
Men's and boys' shirts and nightwearMen's and boys' separate trousersMen's and boys' work clothing
Women's and misses' outerwearWomen's and misses' blouses and waistsWomen's and misses' dressesWomen's and misses' suits and coatsWomen's and misses' outerwear, nee.
Women's and children's undergarmentsWomen's and children's underwearBrassieres and allied garments
Children's outerwearChildren's dresses and blouses
Misc. apparel and accessoriesMisc. fabricated textile products
Curtains and draperiesHouse furnishings, neeAutomotive and apparel trimmings
PAPER AND ALLIED PRODUCTSPaper and pulp millsPaper mills, except building paperPaperboard millsMisc. converted paper products
Paper coating and glazingEnvelopesBags, except textile bags
Paperboard containers and boxesFolding paperboard boxesCorrugated and solid fiber boxesSanitary food containers
PRINTING AND PUBLISHINGNewspapersPeriodicalsBooks
Book publishingBook printing
Miscellaneous publishingCommerical printing
Commercial printing, letterpressCommercial printing, lithographic
Manifold business formsBankbooks and bookbindingPrinting trade services
CHEMICALS AND ALLIED PRODUCTSIndustrial inorganic chemicals
Industrial inorganic chemicals, neePlastics materials and synthetics
Plastics materials and resins.Organic fibers, noncellulosic
DrugsPharmaceutical preparations
Soap, cleaners, and toilet goodsSoap and other detergentsToilet preparationsPolishing, sanitation, and finishing preparations...
Paints and allied productsIndustrial organic chemicals
34.178.331.230.460.3
133.086.926.369.8
r326.884.4
368^0104.278.9
101.5444.565.2
159.965.8
153.692.373.518.866.227.459.4
191.128.252.637.0
705.7206.4177.365.0
220.357.524.350.3
214.044.8
109.927.2
1,231.6419.679.1
104.471.433.045.1
407.5166.7217.946.363.142.9
,109.2161.8105.9210.786.296.9
193.0153.7138.941.457.340.268.9
171.0
34.878.431.230.661.4
133.987.626.569.9
,335.284.5
370.7106.079.9
101,4446.965.4
161.268.4
151.992.873.918.967.627.759.8
191.829.453.434.7
716.9209.9180.366.2
223.758.924.850-7
217.145.3
111.227.4
1,240*2424.5
80.1103.671.132.545.0
407.6167. 3217.946.865.542.9
1,124.8164.3106.8214.1
88.097.7
196.2156.5141*041.658.640.870.7
173.0
33.676.730.030.255.2
133.888.425.465.5
1,304.2• 77.5377.1103.579.9
109*3441.062.8
159.461.1
157.790.572.418.163.525.057.0
178.028.952.027.1
698.8204.3176.764.5
218.957.625. *\50.3
211.144.5
108.626,7
1,270.4430.981.8
107.874.033.846.1
424.0168.6231.247.764.345.0
1,120.6166.1108.8209.486.494.8
198,5158.4137.140.856.639.767.2
173.7
32.775,029.429.552.5
131.387.124.062.8
,298.980.4
378.5104.480.2
109.7435,4
62.6151.564.7
156.690.272.317.963.925.157.2
173.328.450.925.6
1,314,5
692.203.176.
64.215.56,25,49.
208.44.
>06.26.
1,268.0431.281.8
107.073.733.347.6
421.2
230*547.363.745*0
1,119.1166.9109.2206.7
85.992.9
199.2158.5136.740.756.639.466.7
174.2
693.6
1,267*3
1,113.3
28.165.926.125.649.1
120.980.323.456,1
1,139.172.3
317.591-068,885.8
384.957.0
142.656.6
128.778.963.815.157.224.751.3
159.124.643.531.0
534.0155.4132.052.0
161.535*719.039.2
165.135.781.322.6
698.3168.7
13.556.628.727.927.0
302.0122.9160.132.752.331.3
632.788.157.5
142.352.970.095.673.083.726.734.822.235.987.9
28.866.126.125.950.3
121.781.023.556.3.
,146.272.5
319.6sLe69.585.4
387.457.3
143.859.4
126.979.264.015.258.625.151.6
159.325.544*228.7
544.7158.5134.652.8
165.537.419,639.7
167.936.282.422.8
698.8169.2
13.554.827.427.426.2
301.4123.4159.433.154.531.5
642.789.357.7
144.553.870.497.574.885.527.235.722.637.489.5
28.564.725.025.544.8
121.181.522.351.8
,114.867.0
323.289.970*091.2
381.754*7
141.552.6
132.977.062.714.354.522.649.0
145.524.542.921.3
528.5153.0131.150.5
162.937.520.039.3
162.135*280.021.9
716.8169.3
14.857.328.828.526.3
315.1125.0170.333.652.833.5
636.790.560.6
140.752.168.298.576.182.826.334.721.834.688.4
27.763.224.724.842.7
118.480.120.849.0
,109.370.3
324.090.670.091.4
376.754.6
134.456.3
131.476.762.614. 155.022.748.6
140.623.941.619.8
521.9152.0130.550.4
159.636.219.938.2
159.934.978.321.8
710.8168.5
14.656.528.727.826.2
311.7122.8169.333.352.133.4
632.290.160.1
137.951.666.197.775.682.726.234.921.633.989.1
,127.3
522.8
708.7
631.1
See footnotes at end of table.
96
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 99: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/99.jpg)
ESTABLISHMENT DATAEMPLOYMENT
B-2. Employees on nonagricuttural payrolls by industry—Continued
[In thousands]
1972SIC
Cod*
Industry
Hay1979
June1979
Apr.1980
Hay1980 P
June198Q.p
Production workers1
Hay1979
June1979
Apr.1980
Hay1980
June1980 p
28652861,9
287
29291295
30301302303,4
306307
3131131431433144316317
404011
411412413415
42421,3422
45451,2
48481483
49491492493495
50,51
50501502503504505506507
CHEMICALS AND ALLIED PRODUCTS—Cont'dCyclic crudes and intermediatesGum, wood, and industrial organic chemicals,
neeAgricultural chemicalsMiscellaneous chemical products
PETROLEUM AND COAL PRODUCTS.Petroleum refiningPaving and roofing materials
RUBBER AND MISC. PLASTICS PRODUCTS . .Tires and inner tubesRubber and plastics footwear
Reclaimed rubber, and rubber and plastics hoseand belting
Fabricated rubber products, neeMiscellaneous plastics products
LEATHER AND LEATHER PRODUCTS
Leather tanning and finishingFootwear, except rubber
Men's footwear, except athletic . . .Women's footwear, except athletic . .
Handbags and personal leather goods . .
TRANSPORTATION AND PUBLICUTILITIES
RAILROAD TRANSPORTATIONClass I railroads 2.
LOCAL AND INTERURBAN PASSENGERTRANSIT
Local and suburban transportationTaxicabsIntercity highway transportationSchool buses
TRUCKING AND WAREHOUSINGTrucking and trucking terminals .Public warehousing
WATER TRANSPORTATION
TRANSPORTATION BY AIR.Air transportation
PIPE LINES, EXCEPT NATURAL GAS
TRANSPORTATION SERVICES
COMMUNICATIONTelephone communicationRadio and television broadcasting .
ELECTRIC. GAS, AND SANITARY SERVICES .Electric servicesGas production and distributionCombination utility servicesSanitary services
WHOLESALE AND RETAIL TRADE
WHOLESALE TRADE
WHOLESALE TRADE - DURABLE GOODS . .Motor vehicles and automotive equipment . .Furniture and home furnishingLumber and construction materialsSporting goods, toys, and hobby goods . . . .Metals and minerals, except petroleumElectrical goodsHardware, plumbing, and heating equipment
37,0
134.071.993.0
209.1163.633.4
785.5128.622.8
24.5120.9488.7
253.620.2
156.061.061.817.833.0
5,111
559.1506.8
274.277*061.036.585.0
1,352.01,266.5
85.5
212.6
408.8361.7
19.3
184.2
1,301.2
1,043,7188.0
799.9370.1166.2193.746.9
20«214
5,183
3,074444.4110.9193.866.9
152.1401.4240.8
37.3
135.770.894.7
212.9166.434.2
788.1121.923.5
25.3120.6496.8
258.520.7
158.461.963.218.334.1
5,219
569.9514.3
262.675.160.337.875.1
1,375.31,288.3
87.0
222. 3
443.9396.4
20*3
188,7
1,318,0
1,058.6189.5
817,9376.9171.2197.948.2
20,321
5,245
3.116448,7111.2198.668.7
154.3404.9244,2
38.1
135.674.194.5
173.6130,, 330.3
737.2107.423.0
22*7109.8474.3
243*318.9
154.157,762^614.931.0
5,147
539.4486,6
275*679.259.339.483.0
1,285.*1,196.3
89.1
212,3
452,9404.1
19.4
193.4
1,346.0
1,072.4199.5
822.4386.7165.9197.249.8
20,373
5,265
3,143429.8115.5189.971.9
155.6411.5244,9
38.1
136.174.694.1
204.6161.530.0
703.5104.122.0
20.710 4,7452.0
242.519.1
155,958.163.713.729.9
5,162
544.7491.8
283.980.75S.040.488,0
1,267.21,179.2
88*.0
216.6
454.7405.6
19.7
193.6
1,351.1
1,075.5
200.6
830.4390.5168.3198.250.5
20,506
5,263
3,129425.0114.9188.572.4
153.1409.3243.3
207.0
689.8
244.7
5,194
20,525
5,283
23.3
64.646.952.3
137.2103.526.3
616.793.619. 8
18.495.4
389.5
217.017.0
134.753,353.014.028,4
4,281
253.471.4
33.6
1,196.31,123.3
73.0
13.6
983,7772.1150.4
652.1297.5135.2158.841.7
17,763
4,256
2,523363.189.9
162.055.1
124-1329.9197.8
23.6
65.945.553-5
140.2105.427.2
618.787.520.5
19.395.1
396.3
221.217.5
136.754.054.414.429.3
4,380
242,569.4
34.9
1,218.51,144.0
74.5
14.5
995.1782.1151.9
669.9304.3140.0163.242.8
17,859
4,314
2,561366.790.6
166.256.6
126.0331.7200.6
23.5
64.947.553.7
107.776.123.3
57C.375.420.4
16.084.9
373.6
205.315.6
131.449.852.411.326.5
4,299
254.372.2
36.4
1,126.01,050.1
75.9
13.8
1,005.2780.5160.2
673.3312.2135.4162. 943.9
17,870
4,312
2,575348.194.4
155.759.0
126.4335.9201.7
23.7
65.447.952.9
131.7100,622.8
539.372.219.5
14.980.4
352.3
205.215.8
133.550.353.810.425.4
4,313
262.673.6
37,4
1,109.81,035.1
74.7
13.9
1,008.7783,2160.3
679.8315.3137.5163.644.4
17,984
2,557343,893.8
154.659.3
124.2333.5199,7
135.3
526.8
207.6
4,351
17,974
4,322
See footnotes at end of table.
97
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 100: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/100.jpg)
ESTABLISHMENT DATAEMPLOYMENT
B-2. Employees on nonagricuttural payrolls by industry—Continued
[ In thousands]
1972SIC
CodeHay
1979June1979
Apr.1980
Hay
mo.June1980 p
Production workers1
Hay1979
June1979
Apr.1980
Hay1980.
June1980p
508
51511512513514516517518519
521525
53531533539
54541542546
55
551.2553554
56561562
571572573
594596598599
60602
61612614
62
621
63631
WHOLESALE TRADE-DURABLE GOODS—Continued
Machinery, equipment, and suppliesMiscellaneous durable goods
WHOLESALE TRADE-NONDURABLE GOODS
Paper and paper productsDrugs, proprietaries, and sundriesApparel, piece goods, and notionsGroceries and related productsChemicals and allied productsPetroleum and petroleum productsBeer, wine, and distilled beveragesMiscellaneous nondurable goods
RETAIL TRADE
BUILDING MATERIALS AND GARDENSUPPLIES •
Lumber and other building materialsHardware stores
GENERAL MERCHANDISE STORESDepartment storesVariety storesMisc. general merchandise stores
FOOD STORESGrocery storesMeat markets and freezer provisionedRetail bakeries
AUTOMOTIVE DEALERS AND SERVICESTATIONS
New and used car dealersAuto and home supply storesGasoline service stations
APPAREL AND ACCESSORY STORESMen's and boys' clothing and furnishingsWomen's ready-to-wear stores • •Family clothing storesShoe stores
FURNITURE AND HOME FURNISHINGSSTORES
Furniture and home furnishingsHousehold appliance storesRadio, television, and music stores
EATING AND DRINKING PLACES
MISCELLANEOUS RETAILDrug stores and proprietary storesLiquor storesMiscellaneous shopping goods storesNonstore retailersFuel and ice dealersRetail stores, nee
FINANCE, INSURANCE. AND REALESTATE ?
BANKINGCommercial and stock savings banks
CREDIT AGENCIES OTHER THAN BANKS . . •Savings and loan associationsPersonal credit institutions
SECURITY, COMMODITY BROKERS, ANDSERVICES
Security brokers and dealers
INSURANCE CARRIERSLife insurance
1,256.3206.9
2,1C9144.3145.1168.7636.7122.1230.4133.3385.7
15,031
637.9339.3149.1
2,209.21,799.6
276.9132.7
2,274.61,985.1
52.4127.7
1,849.3902.8271.3582.9
935.7138.3353.6168.6181.3
607.9372.684.0
151.3
4,647.0
1,869.5487.9125.6552.7275.2103.3267.3
4,952
1,480.71,353.2
547.8231.3209.0
198.3159.2
1,197.3520.5
1,275,0210.8
2,129146.0146.0171.2650.2123.1229-9136,4385.2
15,076
645.8348.4151.3
2,205.61,790.7
276.4138.5
2,278.61,988.1
52.5129.5
1,835.4900.1276.4563.8
933.8138.8350.4169-5179.8
610.8374,485.7
150.7
4,706.2
1,859.7492.9127.8553.9273.3101.9250.9
5,019
1,498.91,369.9
554.3235.5209.8
201.4161.4
1,206.5523.6
1,310.4213.4
2,122148.0152.6174.6636.0125.9230.3133.9390.8
15,108
623.5325.0153.8
2,157.51,757.1
263.3137.1
2,351.82,059.8
52.2127.8
1,756.5826.9264.9568.5
942.7136.0351.8178.1180.7
605.3374.481.6
149.3
4,779.1
1,891,5503.9129.5579.0266.1105.6249.2
5,104
1,535.21,401.4
558.4238.9212.1
209.3166. 2
1,233.2535.4
1,310.8212.0
2,134147.8152.0175.0645.7126.7234.2134.6392.0
15,243
630.0326.3154.6
2,153.11,748.8
266.1138.2
2,377.92,083.1
52.8129.7
1,739.4807.9264.6572.1
942.2135.6352.117S.6179.7
598.3370.181.0
147.2
4,898.5
1,903.7505.4131.0584.7260.1103.9260.1
5,139
1,537.81,403.5
555.8238.1210.9
209.0165.9
1,234.0536.4
15,242
5,205
1,026.0175.0
1,733116.7124.6133. 1548.3
88.3170.3113.2319.7
13,507
545.6290.3128.7
2,053.91,663,5
255.4115.0
2,097.71,833.3
117.7
1,582.2752.8238.1513.3
807.5117.4308.1147.6152.7
503. 2313.2
71.7118.3
4,267.9
1,648.8444.8
473.1257.9
87.5229.1
3,760
1,145.31,041.7
416.5178.9157.6
842.7313.6
1,043.4178.7
1,753118.3125.3135.9561.689.5
169.6116.1320,1
13,545
550.5297.1131.0
2,051.01,675.5
254.8120.7
2,102.21,836.9
119.0
1,567.8749.4243.1493.7
806.6118.7305.5149.0150.6
505.6314.872.9
117.9
4,326.9
1,634.5449.0
472.6255.586.2
211.1
3,824
1,162.61,057.4
423.0182,6159.0
845.9311.9
1,072.5181.5
1,73712C.7129.4138.6548.493.2
168.5112.6319.4
13,558
527.3274.3131.5
2,004.11,644.7
242.911C.5
2,170.81,905.1
117.7
1,490.7680.6230.0494.3
806.3115.0303.3154.9150.7
500.8312.070.2
118.6
4,398.0
1,660.4459.4
494.2247.9
88.4210*6
3,861
1,182.71,074.6
423.1182.4160.1
861.9323.8
1,068.6179.6
1,744120.8128.9138.5556.593.1
171.2113.1320.5
13,683
533.4275.5132.9
1,999.91,636.8
245.5117.6
2,195.21,926.1
119.4
1,473.2663.0228.6497.9
807.3114.6305.3155.2149.8
494.8308.169.7
117.0
4,509.1
1,670.2459.9
498.8242.2
86.8220.6
3,896
1,185.61,075.8
420.5181.7158.8
862.5325,8
13,652
3,956
See footnotes at end of table.
98
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 101: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/101.jpg)
ESTABLISHMENT DATAEMPLOYMENT
B-2. Employees on nonagricultural payroll* by industry-Continued
lln thousindi]
1972SIC
Cod*
632633
64
65651653655
66
67
70701
72721723726
73731732733734736
737
75753
76
78781783
79
80801802805806
81
82821822
83
86
89891893
____
Industry
INSURANCE CARRIERS—ContinuedMedical service and health insuranceFire, marine, and casualty insurance
INSURANCE AGENTS, BROKERS, ANDSERVICE
REAL ESTATEReal estate operators and lessorsReal estate agents and managersSubdivides and developers
COMBINED REAL ESTATE, INSURANCE, ETC . . .
HOLDING AND OTHER INVESTMENT OFFICES..
SERVICES
HOTELS AND OTHER LODGING PLACESHotels, motels, and tourist courts
PERSONAL SERVICESLaundry, cleaning, and garment servicesBeauty shopsFuneral service and crematories
BUSINESS SERVICESAdvertisingCredit reporting and collectionMailing, reproduction, stenographic.. . . ,Services to buildingsPersonnel supply servicesComputer and data processing services
AUTO REPAIR, SERVICES, AND GARAGESAutomotive repair shops
MISCELLANEOUS REPAIR SERVICES
MOTION PICTURESMotion picture production and servicesMotion picture theaters
A M U S E M E N T A N D R E C R E A T I O N SERVICES . . . .
H E A L T H S E R V I C E SOffices of physiciansOffices of dentistsNursing and personal care facilitiesHospitals
LEGAL SERVICES
EDUCATIONAL SERVICESElementary and secondary schoolsColleges and universities
SOCIAL SERVICES
MEMBERSHIP ORGANIZATIONS
MISCELLANEOUS SERVICESEngineering and architectural servicesAccounting, auditing, and bookkeeping
GOVERNMENT
FEDERAL GOVERNMENT
Executive, by agency4
Portal ServiceOther executive agencies
LegislativeJudicial
All employ.*.
Bay
1979
136.2466.7
427.3966.9441.2364.1138.0
23.6
110.3
17,116
1,C69.91,035.9
927.4362.8295.568.3
2,846.7144.178.0
112.5484.4507.7261.6
581.8359.0
281.3
221.476.1
134.8
755.4
• ,937,5713.7322.4940.7
2,574.0
447.2
1,117.1251.4749.4
1,09 2.5
1,533.3
926.4509.2291.2
16,162
2,773
2,720.3896.6659.5
1,164.239.713.1
June1979
136.6471.6
430.4989.7
,448,9374.6142.4
23,8
113,9
17,265
1,114.51,071.9
920.3362.7292.968.4
2,892.7145,877.4
113.6500.1519.7265.2
582.0361.0
286.9
227.177.9
138,8
802.4
5,002,1722-1326.8956.9
2,605,7
464.5
996.0243.2638.8
1,105.6
1,536.1
949,1528.4292.9
16,080
2,824
2,770.2906.6663.2
1,200.441.013.1
Apr.1980
139.7487.9
450.3975.7458.7364.8130.0
23.3
118.6
17,636
1,C59.81,024,7
950.9353.8293.3
69.8
2,955.1147.372,7
120.8508.4506.8286.6
587.5356.9
302.9
219,381.1
127.9
724.7
5,150,1746.8336.7978.9
2,680.5
469.2
1,168.1269. 7775.5
1,129.0
1,560.5
1,003.5548.0319.4
16,651
3,103
3,049.2888,5658.2
1,502.539.614.2
Hay1980p
139.9490.4
450.71,008.7
468.1379.4140.0
23.1
119.6
17,756
1,092.71,056.2
936.9354*5294.9
70.4
2,967.2148.671.5
119.3508.5502.2287.3
584.6355.6
300.9
217.874.4
132.6
783.7
5,173.3748.4340.1986.0
2,687.8
473.1
1,138.8272-1743.8
1,147.5
1,572.7
994.3550.1307.1
16,673
3,097
3,043,1927.1659.3
1,456.740.214.1
June198Cp
-
-
-
-
17,812
•
-
-
-
-
-
-
-
16,549
3,121
-
Hay1979
109.0359.3
-
-
15,202
957.2
323,2271.7
2,472.8107.2
436.0
214.7
497.5306. 1
241,4
199.267.0
684.8
4,389.9583.4282.1844,5
2,348.5
383.8
769. 3430.2235.2
June1979
109.2363,4
15,329
989.9
323.7270.1
2,516.0108.2
452.4
218.2
497. 4307.4
246,2
203.468.3
730.2
4,451.8592.1286.4860.3
2,377.0
399.1
-
790*2449.1235.6
-
1980
111.737Q.7
I-
15,696
941.2
315.9272,8
2,571,8111.5
460.7
237,7
503.4303,5
259,4
192.367.2
659,4
4,592,8611.0293,4879.0
2,458.7
403,0
840.3465.5261,6
Ha*1980 p
111.8371.8
-
-
15,809
971.3
316.5274.7
2,586.4112.5
460.9
238.5
499.2301.4
257.3
191.761.8
715.7
4,612.6611,4295.5887.3
2,464.2
406.7
-
830.0467.7248.0
June1980p
-
-
-
-
-
15,829
-
-
-
-
-
-
-
-
-
-
-
„
Sec footnotes at end of table.
99
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 102: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/102.jpg)
ESTABLISHMENT DATAEMPLOYMENT
B-2. Employees on nonagricurtural payrolls by industry—Continued
[ In thousands]
1972SIC
Code
Industry
All employees
Hay
1979June1979
Apr.1980
Kayp1980
June p1980
Hay1979
June1979
Apr.1980
Ha]1980
Junep1980
3731
806
80682
80682
FEDERAL GOVERNMENT-ContiniMdFederal Government, by industry
Manufacturing activitiesShipbuilding and repairing
Transportation and public utilities, exceptPostal Service
ServicesFederal government hospitals
STATE AND LOCAL GOVERNMENT
State governmentState government hospitalsState educationGeneral administration including executive,
legislative, and judicial functionsLocal government
Transportation and public utilitiesLocal government hospitalsLocal educationGeneral administration including executive,
legislative, and judicial functions
124.972.2
45.5354.2222.6
13,3893,561.8
541,91,420.5
995.19,827.2
592 .0560.9
5,343.1
2,944.2
125.172.6
45.4360.8226.3
13,2563,438.4
543.11,250.5
1,014.79,817.4
591.0567.4
5,165.1
3,064.3
123.472.6
44.3393.3236.6
13,5483,670.5
545.61,497.2
1,006,19,877.3
589.8580.0
5,371.8
2,955.8
123-872.7
45.2395.9235.6
13,5763,616.8
545.81,437.3
1,011.29,959.1
611.2581.7
5,395.9
2,986.1
13,428
1 Data relate to production and related workers in mining and manufacturing; to constructionworkers in construction; and to nonsupervisory workers in transportation and public utilities; whole-sale and retail trade; finance, insurance, and real estate; and services.
2 Beginning January 1978, data relate to line haul railroads with operating revenues of $50,000,000or more.
3 Data for nonoffice sales agents excluded from nonsupervisory count for all series in this division.4 Prepared by the Office of Personnel Management. Data relate to civilian employment only and
exclude Central Intelligence and National Security Agencies.
# Not available,p - preliminary.
NOTE: In accordance with usual practice, BLS has revised establishment survey datato reflect a new benchmark and updated seasonal adjustment factors. Because ofthese revisions, establishment data in this table may differ from data published earlier.See article in this issue for additional information.
1OO
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 103: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/103.jpg)
ESTABLISHMENT DATAWOMEN EMPLOYEES
B-3. Women employees on nonagricuttural payrolls by industry
[In thousands]
1972SIC
Codt
Industry Bar.1979
Apr.1979
Feb.1980
Bar.1980
Apr.1980
10
11.12
13131,2
14142144
15152153154
16161162
17171172173174175176
24, 25.32-3C
20-23,263
242412422421243244245249
25251251125122515252253254259
3232232213229323324325326327329
333313312332
TOTAU
PRIVATE SECTOR
MINING
METAL MINING
COAL MINING
OIL AND GAS EXTRACTION
Crude petroleum, natural gas. and naturalgas liquids
Oil and gas field services.
NONMETALLIC MINERALS, EXCEPT FUELSCrushed and broken stoneSand and gravel
CONSTRUCTION
GENERAL BUILDING CONTRACTORSResidential building constructionOperative buildersNonresidential building construction
HEAVY CONSTRUCTION CONTRACTORS •Highway and street constructionHeavy construction, except highway
SPECIAL TRADE CONTRACTORSPlumbing, heating, air conditioningPainting, paper hanging, decoratingElectrical workMasonry, stonework, and plasteringCarpentering and flooringRoofing and sheet metal work
MANUFACTURING
DURABLE GOODS
NONDURABLE GOODS
DURABLE GOODS
LUMBER AND WOOD PRODUCTS
Logging camps and logging contractorsSawmills and planing mills
Sawmills and planing mills, generalMillwork, plywood, and structural members .Wooden containersWood buildings and mobile homesMiscellaneous wood products
FURNITURE AND FIXTURESHousehold furniture
Wood household furnitureUpholstered household furnitureMattresses and bedsprings
Office furniturePublic building and related furniturePartitions and fixturesMiscellaneous furniture and fixtures
STONE, CLAY, AND GLASS PRODUCTS . . . .Glass and glassware, pressed or blown
Glass contaniersPressed and blown glass, nee
Products of purchased glassCement, hydraulicStructural clay productsPottery and related productsConcrete, gypsum, and plaster productsMisc. nonmetallic mineral products
PRIMARY METAL INDUSTRIESBlast furnace and basic steel products
Blast furnaces and steel millsIron and steel foundries
36,647
29,066
86
7.9
9.0
60.6
38.022.6
8.22.52.6
337
121,568.617.235.7
49.012.536.5
166.046.910.729.618.712.711.2
6,406
3,058
3,348
112.94.7
22.815.646.07.7
10.62
148.0110.046.336.98.4
11.65.2
10.111.1
132.744.025.218.814.11.76.8
16.514.532.1
132.342.232.520.9
36,915
29,307
87
8.0
9.1
61.4
38.722,7
8.52.62.8
343
124.070.317.336.4
51.314.337.0
167.247.610.829.419.112.911.4
6,415
3*071
3,344
113.84.8
22.615.746.47.8
10.921.3
145.8107.645.735.98.6
11.55.5
10.310.9
133.043.725.318.413.91.76.9
16.714.832.3
133.743.133.221.0
37,889
30,054
97
9,0
10.6
68.6
43.824.8
9.02.53.0
368
129.872.716.940.2
53.014.138.9
185.352.312.134.021.714.012.9
6,459
3,111
3,348
109.24,7
22.415.844.27.39.7
20.9
146.1106.945.635.7
8.212.35.4
10.511.0
131.743.023.719.313.61.77.0
16.415.032,4
131,542.232.019.1
38,115
30,202
99
8.8
10.7
70.0
44.725.3
9.02.53.0
372
131.474.016.441.0
53.414.638.8
187,452.912.433.921.714.013.1
6,492
3,128
3,364
109.54.9
22.415.843.67.59.6
21.5
146.5106.945.735.48.2
12.55.4
10.511.2
132.743.424.019.414.01.76.9
16.515.032.4
13T..942.332.119.3
38,328
30,321
100
9.0
10.9
70.6
45.525.1
9.22.63.1
376
132.175.115,641.4
55*616.139. 5
188.253.012.334.721,314.313.1
6,433
3,091
3,342
103.24.9
21w315.040.6
7.08.8
20.6
145.7106.345.135.2
8,212.65.4
10.710.7
130.843.323.619.713.61.76.7
16.015.031.9
130.542.432.019.1
1O1
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 104: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/104.jpg)
ESTABLISHMENT DATAWOMEN EMPLOYEES
B-3. Women employees on nonagricuHural payroll* by industry—Continued
[ In thousands]
1872SIC
Code
IndustryBar.1979
Apr.1979
Feb.1980
Mar.1980
Apr.1980
33213322332533333343353351335333573363361
343413411342 .3423.534293433443441344234433444345345134523463462346534693473471347934834934943496
353513511351935235233533531353335435413544354535535513552355535635613562357357335835853593599
3636136123613362362136223633632363336343643641
PRIMARY METAL INDUSTRIES —Continued
Gray iron foundriesMalleable iron foundriesSteel foundries, nee
Primary nonferrous metalsPrimary aluminum
Nonferrous rolling and drawingCopper rolling and drawing
Aluminum sheet, plate, and foilNonferrous wire drawing and insulating
Nonferrous foundriesAluminum foundries
FABRICATED METAL PRODUCTSMetal cans and shipping containers
Metal cansCutlery, hand tools, and hardware
Hand and edge tools, and hand saws and blades.Hardware, nee
Plumbing and heating, except electricFabricated structural metal products
Fabricated structural metalMetal doors, sash, and trimFabricated plate work (boiler shops)Sheet metal work
Screw machine products, bolts, etcScrew machine productsBolts, nuts, rivets, and washers
Metal forgings and stampingsIron and steel forgingsAutomotive stampingsMetal stampings, nee
Metal services, nee , .Plating and polishingMetal coating and allied services
Ordnance and accessories, neeMisc. fabricated metal products
Valves and pipe fittingsMisc. fabricated wire products
MACHINERY. EXCEPT ELECTRICALEngines and turbines
Turbines and turbine generator setsInternal combustion engines, nee
Farm and garden machineryFarm machinery and equipment
Construction and related machineryConstruction machineryOil field machinery
Metalworking machineryMachine tools, metal cutting typesSpecial dies, tools, jigs, and fixturesMachine tool accessories
Special industry machineryFood products machineryTextile machineryPrinting trades machinery
General industrial machineryPumps and pumping equipmentBall and roller bearings
Office and computing machinesElectronic computing equipment ,
Refrigeration and service machinery ,Refrigeration and heating equipment
Misc. machinery, except electricalMachinery, except electrical, nee
ELECTRIC AND ELECTRONIC EQUIPMENT . . . .Electric distributing equipment
TransformersSwitchgear and switchboard apparatus
Electrical industrial apparatusMotors and generatorsIndustrial controls
Household appliancesHousehold refrigerators and freezersHousehold laundry equipment
Electric housewares and fansElectric lighting and wiring equipment
Electric lamps
10.41,75.04.51.7
42.73.84.5
25.516.88.2
355.113.812.163.017.038.918.770.97.5
21.616.215.725.112.812.358.84.7
16.03*3.026.418.38.1
18.060.422.714.0
469.526.75.8
20.927.921.042.813.710.956.59.4
15.914.129.66.25.16.5
62.511.614.2
134.1106.340.026.949.437.9
884.245.719.526.297.054.129.659.210.54.8
26.3103,924.2
10.51.75.04.71.8
42.83.94.5
25.616. J8.2
358.214.212.363.117.238.819.371.57.5
22.116.215.925.312.812.558.34.7
15.935.626.518.38.2
18.361.723.714.0
469.926.85.7
21.127.520.742.313.711.055.19.4
15.912.828.96.25.05.8
62.811.614.4
135.5107.441.428.149.638.1
887.246.019.526.595.554X527.759.09.94.7
26.7103.924.4
8.41.35.44.92.0
43.03.64.5
26.016.58.7
357.414.212.261.317.636.619.375.28.2
22.317.816.626.313.612.754.14.7
12.035.326.718.18.6
17.962.424.114.7
500.726.85.8
21.028.821.848.816.112.859.610.515.414.230.9
6.65.6.
65.11.14.
150.122.40.26.850.239.4
924.845.419.725.795.351.829.562.310.85.1
27.2102.623,2
8.61.35.44.92.0
43.53.64.6
26.616.0
8,3
358.414.112.261.917.637.218.975.0
8.122.317.816.626.413.612.854.8
4.912-335.426.818.28.6
17.762.824.414.9
502.526.7
5.820.928.121.349.416.213.260.210.515.514.531.06.75.36.4
65.311.714.7
151.2123.540.126.950.539.7
930.345.519.725.895.051.529.662.910.85.1
27.9102.9
23.0
8.41.35.45.02.1
42.63.54.5
26.015.68.2
251.313.912.059.617.435.218.273.2
8.120.917.816.226. 113.312.853.7
4.911.535.026.818.08.8
17.862.024.314.8
499.826.5
5.820.727.621.248.515.213.360.010.515.314.531.16.75.36.5
64.511,614.5
152.2124.639.326. 150.139.4
925.845.319.425. 994.951.629.561.710.34.6
28; 1102.122.8
102
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 105: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/105.jpg)
B-3. Women employees on nonagricultural payrolls by Industry-Continued
ESTABLISHMENTDATAWOMEN EMPLOYEES
1972SIC
Code
IndustryMar.1979
Apr.1979
Feb.1980
Mar.1980
ipr.1980
36433653651366366136623673671-3367436793693694
3737137113713371437237213724372837337313743763761379
3838138238223823382538338438413842385386387
39
3913933943942,4
3949395396
2020120112013201620220262032032203320372042052051205220620720820822086209
21211
ELECTRIC AND ELECTRONIC EQUIPMENT— Continued
Current-carrying wiring devicesRadio and TV receiving equipment
Radio and TV receiving setsCommunication equipment
Telephone and telegraph apparatusRadio and TV communication equipment
Electronic components and accessoriesElectronic tubesSemiconductors and related devicesElectronic components, nee
Misc. electrical equipment and suppliesEngine electrical equipment
TRANSPORTATION EQUIPMENTMotor vehicles and equipment
Motor vehicles and car bodiesTruck and bus bodiesMotor vehicle parts and accessories
Aircraft and partsAircraftAircraft engines and engine partsAircraft equipment, nee
Ship and boat building and repairingShip building and repairing
Railroad equipmentGuided missiles, space vehicles, parts
Guided missiles and space vehiclesMiscellaneous transportation equipment
INSTRUMENTS AND RELATED PRODUCTSEngineering and scientific instrumentsMeasuring and controlling devices
Environmental controlsProcess control instrumentsInstruments to measure electricity
Optical instruments and lensesMedical instruments and supplies
Surgical and medical instrumentsSurgical appliances and supplies
Ophthalmic goodsPhotographic equipment and suppliesWatches, clocks, and watchcases
MISCELLANEOUS MANUFACTURINGINDUSTRIESJewelry, silverware, and plated wareMusical instrumentsToys and sporting goods
Dolls, games, toys, and children's vehiclesSporting and athletic goods, nee
Pens, pencils, office and art suppliesCostume jewelry and notionsMiscellaneous manufactures
NONDURABLE GOODS
FOOD AND KINDRED PRODUCTSMeat products
Meat packing plantsSausages and other prepared meatsPoultry dressing plants
Dairy productsFluid milk
Preserved fruits and vegetablesCanned specialtiesCanned fruits and vegetablesFrozen fruits and vegetables -
Grain mill productsBakery products
Bread, cake, and related productsCookies and crackers
Sugar and confectionery productsFats and oilsBeverages
Malt beveragesBottled and canned soft drinks
Misc. foods and kindred products
TOBACCO MANUFACTURESCigarettes
44.559.943.6
190.779.5
111.2265.715.991.0
108.562.132.2
325.6146.158.55.4
79.3108.061.623.722.724.414.76.3
20.817.413.3
290.021.9
100.324.916.842.610.475.935.232.525.937.218.4
208.028.911.260.530.130.420.935.850.7
480.7109.126.620.954.035.417.995.79.0
27.725.128.062.241.520.740.75.8
36.86.0
17.067.0
24.414.0
44.557.943,4
194.380.7
113.6268.716.191.8
109-761.931.7
326.9146.659.35.5
78.9109.662.424.223.024.014.56.4
20.917.412.5
292.722.1
100.824.716.943.010.576.035.432.526.538.318.5
209..728.011.261.630.531.121.135.652.2
475.1110.426.920.355.635.717.991.99.0
25.324.426.962.341,420.939.25.7
37.16.1
17.265.9
22.913.8
46.558.143.6
211.587.2
124.3291.7
17.1102.6117.357.926.2
309.9119.045.35.2
65.6118.764.927.726.123.516.37.0
23.319.410.5
298.324.0
104.224.817.644.612.277.836.234.027.636.915,6
201.725.19.7
62.130.231.922.231.950.7
474.2115.829.320.157.735.918.081.48.4
25.617-228.760.039.820.242.85.8
38.27.0
17.865.6
24.013.7
46.658.843.9
212.587.9
124.6292.6
17.1103.4117.660.126.9
311.0120.047.14.4
65.5119.865.727.926.222.115.57.0
23.719.710.7
300.824.0
105.025.117.745.012.478.73^.634^427.837.215.7
204.625.99.5
63.230.432.822.23?.651.2
473.9114.929.219*957.736.317.982.18.3
24.919.628.561.140.320.840.45.9
39.17.4
18.065.6
22.413.5
46.958.644.0
212.787.4
125.3292.7
17.2104.5116.957.825.7
297.5110.640.54.6.
62.5118.664.128.026.521.215.47.0
24.019.98.4
301.424.0
105.224.917.745.412.279.537.034.828.037.115.4
204.625.59.6
64.231.233.022.432. 250.7
467.5115.329.219.858.536.918.279.8
8.425.217.328.160.840.020.837.5
5.739.57.4
18.363.9
21.313.4
103
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 106: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/106.jpg)
ESTABLISHMENT DATAWOMEN EMPLOYEES
B-3. Women employees on nonagricultural payroHt by industry—Continued
1972
SIC
Codt
IndustryBar.1979
Apr.1979 1980
Mar.1980
Apr.1980
22
221
222
223
224
225
2251
2252
2253
2254
2257
226
2261
2262
227
228
2281
2282
229
23
231
232
2321
2327
2328
233
2331
2335
2337
2339
234
2341
2342
236
2361
238 %
239
2391
2392
26
261.2,6
262
263
264
265
27
271
272
273
274
275
2751
2752
276
278
279
281
2819
282
2821
2824
283
2834
284
2841
2844
285
286
2861,9
287
289
TEXTILE MILL PRODUCTSWeaving mills, cottonWeaving mills, syntheticsWeaving and finishing mills, woolNarrow fabric millsKnitting mills
Women's hosiery, except socksHosiery, neeKnit outerwear millsKnit underwear millsCircular knit fabric mills
Textile finishing, except woolFinishing plants, cottonFinishing plants, synthetic
Floor covering millsYarn and thread mills
Yarn mills, except woolThrowing and winding mills
Miscellaneous textile goods
APPAREL AND OTHER TEXTILE PRODUCTSMen's and boys' suits and coatsMen's and boys' furnishings
Men's and boys' shirts and nightwear . . . .Men's and boys' separate trousersMen's and boys' work clothing
Women's and misses' outerwearWomen's and misses' blouses and waists . .Women's and misses' dressesWomen's and misses' suits and coatsWomen's and misses' outerwear, nee
Women's and children's undergarmentsWomen's and children's underwearBrassieres and allied garments
Children's outerwear
Children's dresses and blousesMisc. apparel and accessoriesMisc. fabricated textile products
Curtains and draperiesHouse furnishings, neeAutomotive and apparel trimmings
PAPER AND ALLIED PRODUCTSPaper and pulp millsPaper mills, except building paperPaperboard millsMisc. converted paper productsPaperboard containers and boxes
PRINTING AND PUBLISHINGNewspapersPeriodicalsBook*Miscellaneous publishingCommercial printing
Commercial printing, letterpressCommercial printing, lithographic
Manifold business formsBankbooks and bookbindingPrinting trade services
CHEMICALS AND ALLIED PRODUCTSIndustrial inorganic chemicals
Industrial inorganic chemicals, neePlastics materials and synthetics
Plastics materials and resinsOrganic fibers, noncellulosic
DrugsPharmaceutical preparations
Soap, cleaners, and toilet goodsSoap and other detergentsToilet preparations
Paints and allied productsIndustrial organic chemicals
Gum, wood, and industrial organicchemicals, nee
Agricultural chemicalsMiscellaneous chemical products
419.365.449.77.8
15.3146.524.224.349.821.913.123.09.66.8
24.865.340.014.721.5
1,076.262.8
306.590.065.383.3
386.857.9
142.653.8
132*579.964.315.657.324.346.5
122.122.632.518.6
159.326.123.55.7
76.451.1
472.1148.448.755.224.5
125.454.365.514.432.9
9.0
265.022.715.543.210.626.677.566.055.09.2
33.012*424.9
20.39.8
19.5
419.465.650.07.8
15.2146.723.924?250.125.113.223.19.66.8
24.065.740*114.921*3
1,075.464.2
307.390*7f5.183.5
386.557.7
145.354.3
129.280.664.616.056.224.046.2
120.322.332.019*0
160.426.323.75.7
77.051.4
474.2148.*048.355.925.1
126.954.866.514.532.59.3
266.022.915.743.710.726.978.767.154.18.7
32.712.424.8
20.110.019.4
421.167.150.17.8
15,2148.025.123.951.024.713.423.19.56.7
23.165.940.714.520.8
1,060.060.9
314.589.666.590.3
373.254.4
142.047.0
129.879.163.715.456.823.643.5
118.423.233.915.9
159.027.524.45-9
75.050.6
500.2160.550.857.225.1
132.156.169.815.434.910.5
276.624.416.144.111.525.982.069.956.28.7
34.812.925.5
20.510,521.0
422.867.049.97.7
15.2149.825.024.052.624.713.322.9
9.56.4
23.266.741.414.620.4
1,070.459.1
316.690.066.390.6
382.155.0
145*948.7
132.579.264 .115.155.622.544.6
119.423.133.816.7
160.127.424.45.9
76.450.4
502.4160.950.257.525.2
133.156.070.815.435.110.8
277.524.616.244.211.625*882.570.255.78.7
34.212.925.9
20.910.820.9
42 V 366.750.27.8
15.1149.5
2<k152.724,313.322.9
9.66.5
23.365.940.914.719.9
1,060.860.1
317.990.566.790.9
378.355.3
140.550.1
132.478.663.515.154.722.244.6
113.122.832.813.3
160.427.424.55.9
76.450.7
501.6161.049.757.525.1
133.456.5
15." 334.410.9
277.624.616.244.111.725.582.870.355.79.2
33.612.826.0
21.110.820.8
104
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 107: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/107.jpg)
B-3. Woman employees on nonagricultural payrolls by industry—Continued
ESTABLISHMENT DATAWOMEN EMPLOYEES
fin thousands]
1972SIC
Cod*
Industry flar.1979
Apr.1979
Feb.1980
Har.1980
Apr.1980
29291
30301302303,4
306307
3131131431433144316317
411412413415
42421,3422
44
45451,2
46
47
48481483
49491492493495
50.51
50501502503504505506507508509
51511512513514516517518519
PETROLEUM AND COAL PRODUCTSPetroleum refining
RUBBER AND MISC. PLASTICS PRODUCTSTires and inner tubesRubber and plastics footwearReclaimed rubber, and rubber and plastics hose
and beltingFabricated rubber products, nee '.Miscellaneous plastics products
LEATHER AND LEATHER PRODUCTSLeather tanning and finishingFootwear, except rubber
Men's footwear, except athleticWomen's footwear, except athletic
LuggageHandbags and personal leather goods
TRANSPORTATION ANDPUBLIC UTILITIES
LOCAL AND INTERURBAN PASSENGERTRANSITLocal and suburban transportationTaxicabsIntercity highway transportationSchool buses
TRUCKING AND WAREHOUSINGTrucking and trucking terminalsPublic warehousing
WATER TRANSPORTATION
TRANSPORTATION BY AIR
Air transportation
PIPE LINES, EXCEPT NATURAL GAS
TRANSPORTATION SERVICES
COMMUNICATIONTelephone communicationRadio and television broadcasting
ELECTRIC, GAS, AND SANITARY SERVICESElectric servicesGas production and distributionCombination utility servicesSanitary services
WHOLESALE AND RETAIL TRADE
WHOLESALE TRADE
WHOLESALE TRADE-DURABLE GOODS
Motor vehicles and automotive equipmentFurniture and home furnishingsLumber and construction materialsSporting goods, toys, and hobby goodsMetals and minerals, except petroleumElectrical goodsHardware, plumbing, and heating equipmentMachinery, equipment, and suppliesMiscellaneous durable goods
WHOLESALE TRADE-NONDURABLE GOODSPaper and paper productsDrugs, proprietaries, and sundriesApparel, piece goods, and notions ,Groceries and related products IChemicals and allied productsPetroleum and petroleum productsBeer, wine, and distilled beveragesMiscellaneous nondurable goods
25.020.0
274.612.214,0
6.542.3
199.6
150.93.0
100.43TU540.99.5
23.3
1,212
60.910.77.24.4
36.1
147.3131.4
15.9
18.5
137.1129.8
2.0
82.8
605.0531,956.9
136.56134324
.3
.0
.0
.6
8,427
1,300
71893.839.631.723.927.1
112.467.3
273.549.0
58241.563.881.5
144.531.248.719.7
111.2
25.320.1
273.912.413.7
6.342.7
198.8
151.53.1
100.337.540.69.6
23.5
1,201
60.411.07.14.4
35.4
142.6126.2
16.4
19.2
126.6119.2
2.1
82.9
609.0535.357.3
136.561.734.331.4
4.5
8,591
1,299721
94.339.732.222.727.2
113.267.1
275.549.2
57842.263.981.2
139,631.348.620.1
112.6
23.217.8
262.710.913.7
5.938.2
194.0
147.4.2.7
99.035.142.18.6
23.0
1,277
68.313.17.25.1
40.3
152.6135.8
16.8
19.7
145.1t37.0
2.1
91.9
624.6543.66-2.5
147.667.935.034.7
5.4
8,725
1,349753
94.143.834.523.928.5
116.569.3
292.949.7
59643.467.285.2
141,732.152.520.8
116.7
23.418.1
2J63.110.714.1
5.738.2
194.4
147.82.8
99.635.341.9
8.322.9
1,282
69.013.4
7.4
SO40.4
152.2135.616.6
19.6
145.3137.2
2.3
91.9
626.4544.562.9
149*268.635.534.8. 5.6
8,750
1,358
76193.844.034.824.229.1
117-769.4
297.949.6
59744.167.185.8
140.532.652.820.9
117.8
23.618.3
259.310.614.1
5.637.8
191.2
148.22.6
101.836.142.7
8.121.9
1,281
66.013.07.45.2
37.8
151.8M35.8
16.0
19.3
146.3137.9
2.4
91.1
629.2546.963.6
150.769.535.635.2
5.6
8,830
1,352760
93.244.434.424.529.4
117.968.6
298.749.3
59244.367.085.4
145.232.152-920.5
113.8
105
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 108: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/108.jpg)
ESTABLISHMENT DATAWOMEN EMPLOYEES
B-3. Women employees on nonagriculturalptyrolto by industry-Continued
1972
SIC
Code
Industry nar.1979
Apr.1979 1980
Bar.1980
Apr.1980
52-59
521525
53531533539
54541542546
55
551,2553554
56561562565566
571572573
59591592594596
60602
61612
614
62
621
63631632633
64
65651653
70701
RETAIL TRADE
BUILDING MATERIALS AND GARDENSUPPLIESLumber and other building materialsHardware stores
GENERAL MERCHANDISE STORESDepartment storesVariety storesMisc. general merchandise stores
FOOD STORESGrocery storesMeat markets and freezer provisionersRetail bakeries
AUTOMOTIVE DEALERS AND SERVICESTATIONSNew and used car dealersAuto and home supply storesGasoline service stations
APPAREL AND ACCESSORY STORESMen's and boys' clothing and furnishingsWomen's ready-to-wear storesFamily clothing storesShoe stores
FURNITURE AND HOME FURNISHINGSTORESFurniture and home furnishingsHousehold appliance storesRadio, television, and music stores
EATING AND DRINKING PLACES
MISCELLANEOUS RETAILDrug stores and proprietary storesLiquor storesMiscellaneous shopping goods storesNonstore retailersFuel and ice dealersRetail stores, nee :
FINANCE, INSURANCE, ANDREAL ESTATE
BANKINGCommercial and stock savings banks
CREDIT AGENCIES OTHER THAN BANKSSavings and loan associationsPersonal credit institutions
SECURITY, COMMODITY BROKERS.AND SERVICESSecurity brokers and dealers
INSURANCE CARRIERSLife insurance ,Medical service and health insuranceFire> marine, and casualty insurance
INSURANCE AGENTS, BROKERS,AND SERVICE
REAL ESTATEReal estate operators and lessorsReal estate agents and managers ,Subdivides and developers
COMBINED REAL ESTATE, INSURANCE. ETC ..
HOLDING AND OTHER INVESTMENT OFFICES.
SERVICES
HOTELS AND OTHER LODGING PLACESHotels, motels, and tourist courts
7,127
153.260.551.1
1,480.01,191.4
209.982.7
931.9777.6
16.175.3
309.0125.846.(1
120.8
631.158.8
307.6121.272.1
196.6130.823.842.0
2,451.6
969.7290.329,9
325.8160.024.3
116.9
2,825
1,025.9944.7
353.7166.9118*8
76.660.7
715.8273.399.2
293.4
257.2325.8,129.5152.627.7
14.5
55.1
9,773
533.2516.6
7,292
156*761.851.9
1,488.41*190.9
213.983.6
•940.0780,7
16.475.8
311.8126.347.0
121.7
647.959.5
313.0125.678.4
197.0131.323.742.0
2,561.0
988.8298.,529.3
328-0157.523.7
129.5
2,828
1,030.3949.1
353.7167*7118.7
75.559.4
709.8267.297.4
294.9
257.9331.2130.4160.923.5
14.5
55.4
9,842
557.4540*8
7,376
158.664.256. C
1,478.11,189.2
199.689.3
994.3827.5
17.977.7
317.1122.348.1
128.. 4
651.760.4
308.2133.375.5
203.6133.722.547.4
2,551.1
1,021.4314.6* 31.8348.9157.824.4
122.5
2,988
1,082.8997.6
372.2176.3127.1
82.064.5
744.2288.0100.1306.6
275.1
356.7139.116.9.632.2
15.2
60.1
10,140
531.7512.5
7,392
160.263.956.0
1,463.61,175.1
198.090.5
993.3829.517.278.6
317.1121.246.7
130.2
653.559.9
310.9133.874.9
203.4134.322.545.6
2,588.1
1,012.4314.531.3
350.1156.5
24.3114.3
3,000
1,085.91,000.4
371.0176.6126.3
83.165.6
748.6290.9100.9307.9
276.5357.5138.5170.632.8
15.3
62.0
10,207
546.8528.4
7,478
163.463.956.4
1,459.61,167.1
201.790.8
997.1831.617.579.2
318.8119.447.3
133.3
657.660.0
311.8134.677.6
201.5133.822.345.4
2,679.0
1,001.3310.130.7
344.5153.923.7
117.6
3,009
1,087.61,001.9
368.3174.9126.4
84.166.2
750.1292.6101.3308.5
280.1
360.6139.8172.033.6
15.2
62.7
10,292
575.9556. 9
106
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 109: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/109.jpg)
B-3. Women employees on nonagricultural payrolls by industry—Continued
ESTABLISHMENT DATAWOMEN EMPLOYEES
(In thousands]
1972SICCode
72721723726
73731732733734736737
75753
76
78781783
79
80801802805806
81
82821822
83
89891893
Industry
PERSONAL SERVICES .Laundry cleaning and garment servicesBeauty shopsFuneral service and crematories . . .
BUSINESS SERVICESAdvertising
Mailing reproduction stenographic . .
Personnel supply servicesComputer and data processing services
AUTO REPAIR, SERVICES, AND GARAGESAutomotive repair shops
M I S C E L L A N E O U S REPAIR SERVICES . . .
M O T I O N P ICTURESMotion picture production and servicesMotion picture theaters . .
AMUSEMENT AND RECREATION SERVICES
HEALTH SERVICES
Offices of dentistsNursing and personal care facilitiesHospitals
L E G A L SERVICES • • •
E D U C A T I O N A L SERVICES
Colleges and universities .
SOCIAL SERVICES
MISCELLANEOUS SERVICESEngineering and architectural servicesAccounting auditing and bookkeeping
GOVERNMENT
FEDERAL GOVERNMENT
STATE AND LOCAL GOVERNMENT
State governmentHospitals
State educationGeneral administration including executive,
legislative, and judicial functionsLocal government
Transportation and public utilitiesHospitalsLocal educationGeneral administration including executive,
legislative, and judicial functions
Bar.1979
636.0224.9263.5
17.8
1,193.765.958.654.6
167,6288.3121.0
96.842*8
57.1
81.126.149.3
252.1
3,986.2552.6270.7830.0
2,071^3
317.6
584.8160.8358.6
795.6
286.098.3
134.4
7,581
850
6,,731
1,601.1318.9660.7
425.95,129.4
87.0435.3
3,454.7
946.9
Apr.1979
637.8225.5267.3
18.0
1,190.765.7-53.653.4
170.6282.9122.5
97.0«3.5
56.4
84.625.453.6
273.7
4,000.9555.5273.0835.5
2,071.7
316.4
582.0159.3356.9
794.9
286.199.4
132.9
7,608
853
6,755
1*596.6321.4656.2
424.05,158.7
87.3434.8
3,479.7
951.8
Ffib.1980
649.8222.8257.6
18.4
1,258*468.953.658.5
184.9302.9134.8
97.841.8
62.1
77.525.946.0
238.6
4,174.6579.1289.1867.1
2,157.3
331.6
596.4165.5361.8
839.0
316.3112.6144.2
7,835
880
6,955.
1,669.0345.47 03.6
416.35,286.2
93.8468.0
3,507,5
993.1
Bar.1980
652.2222.6260.119.2
1,261.569.453.258.3
186.7307.1131.7
99.242.7
63.3
79.725.648.5
254.5
4,183.8581.2288.3869.9
2,160.4.
334.7
599.8167.5363.2
846.9
320.9113.4147.2
7,913
908
7,005
1,680.2345.8709.5
420.15,324.3
94.4469.9
3,528. 1
1,007.4
1980
652.8222.8260.0
18.9
1,258.868.952.559.7
187.2300.6134.0
99.843.6
63.2
83.626.052.0
273.7
4,195.5583.0288.2873.9
2,165.5
336.4
600.5167.5362.7
849.3
322.8114.3148.8
8,007
1,002
7,005
1,680.1345.4707.3
422.65,325.1
96.4472. 1
3,512-3
1,019.4
NOTE: In accordance with usual practice, BLS has revised establishment survey datato reflect a new benchmark and updated seasonal adjustment factors. Because of
these revisions, establishment data in this table may differ from data published earlier.See articie in this issue for additional information.
107
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 110: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/110.jpg)
ESTABLISHMENT DATASEASONALLY ADJUSTED EMPLOYMENT
B-4. Employees on nonagricuttural payrolls by industry division and major manufacturing group, seasonally adjusted
[ In thousands!
Industry division and group
197?
Jane July Aug. Sept. Oct. HOT. Dec.
1980
J a n . Feb. Har. Apr. May* Jun*
TOTAL
GOODS-PRODUCING
MINING
CONSTRUCTION
MANUFACTURING
DURABLE GOODSLumber and wood productsFurniture and fixturesStone, clay, and glass productsPrimary metal industriesFabricated metal products
Machinery, except electricalElectric and electronic equipment . . .Transportation equipmentInstruments and related products . . . .Miscellaneous manufacturing ind
NONDURABLE GOODSFood and kindred productsTobacco manufacturesTextile mill productsApparel and other textile products . .Paper and allied productsPrinting and publishingChemicals and allied productsPetroleum and coal productsRubber and misc. plastic products . . .Leather and leather products
SERVICE-PRODUCING
TRANSPORTATION AND PUBLICUTILITIES.
WHOLESALE AND RETAIL TRADE
WHOLESALE TRADERETAIL TRADE
FINANCE, INSURANCE, ANDREAL ESTATE
SERVICES
GOVERNMENT
FEDERAL
STATE AND LOCAL
89,909
26,557
953
4,472
21,132
12,837768496711
1,2621,7322,5022,1362,095
690445
8,2951,728
71887
1,311706
1,23 81,115
209779251
€3,352
5,168
20,217
5,20515,012
4,970
17,074
15,923
2,78313,140
90,054
26,582
963
4,491
21,128
12,841766499709
1,2601 ,7262,5132,1402,092
691445
8,2871,722
71886
1,316709
1,2431,112
208781239
63,472
5,156
20,254
5,21415,040
4,989
17,114
15,959
2,78413,175
90,222
26,578
4,499
21,055
12,782764499710
1*2501,7132,5092,1092,089
693446
8,2731,722
70883
1,305708
1,2441,110
209774248
63,694
5,182
20,301
5,22215,079
5,019
17,152
16*040
2,81113,229
90,283
26,554
976
4,507
21,071
12,8-22767497708
1,2421,7232,5182,1402,090
693444
8,2491,712
70881
1,298708
1,2451,110
211767247
63,729
5,185
20,352
5,22815,124
5,017
17,192
*5,,983
2,76213,221
90,441
26,554
982
4,529
21,043
12,7647684 98709
1,2361,7232,4782,1492,063
696444
8,2791,723
70885
1,302709
1,2511,114
212766247
63,887
5,203
20,414
5, 24615,168
5,033
17,264
15,973
2,76913,204
90,552
26,504
985
4,553
20,966
12,693757498704
1,2301,7222,4602,1502,033
695444
8,2731,725
64887
1,294708
1,2591,116
212762246
64,048
5,216
20,479
5,26915,210
5,049
17,308
15,996
2,77313,223
90,678
26,590
992
4,615
20,983
12,706746497704
1,2191,7182,4592,1632,057
69S445
8,2771,724
66889
1,296708
1,2611,118
213756246
64,088
5 ,212
2 0 , 4 4 8
5,25115,197
5,064
17,362
16,002
2,77313,229
91,031
26,715
999
4,745
20,971
12,681743497705
1,2151,7072,5322,1691,970
699444
8,2901,716
67888
1,305710
1,2691,121
214755245
64,316
5,202
20,529
5,27815,251
5,091
17,462
16,032
2,79113,241
91,186
26,623
1,007
4,659
20,957\
12,715745495705
1,2141,7112,5292,1682,006
702440
8,2421,713
68888
1,313709
1,2731,121
161751245
64,563
5,198
20,637
5,30215,335
5,101
17,540
16,087
2,82613,261
91,144
26,476
1,009
4,529
20,938
12,707737494700
1,2091,7112,5302,1762,006
705439
8,2311,704
68888
1,316708
1,2741,123
157749244
64,668
5,202
20,610
5#30115,309
5,115
17,580
16,161
2,83613,275
90,951
26,121
1,012
4,467
20,642
12,442689491680
1,1931,6782,5185,1671,885
703438
8,2001,690
69884
1,302702
1,2721,123
175740243
64,630
5,178
20,531
5,28615,245
5,119
17,618
16,384
3,11513,269
90,602
25,746
1,023
4,441
20,282
12,139656471662
1,1431,6212,5142,1261,820
701425
8,1431,689
70868
1,291691
1,2681,119
205704238
64,856
5,162
20,496
5,26815,228
5,139
17,668
16,391
3,09413,297
90,088
25,367
1,021
4,377
19,969
11,905646455644
1,0911,5742,4692,0941,820
696416
8,0641,678
71851
1,291683
1,2651,103
203682237
64,721
5,143
20,422
5,24115,181
5,153
17,618
16,385
3,07713,3C8
_Lp* preliminary. NOTE: In accordance with usual practice, BLS has revised establishment survey data
to reflect a new benchmark and updated seasonal adjustment factors. Because ofthese revisions, establishment data in this table may differ from data published earlier.See article in this Issue for additional information.
108
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 111: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/111.jpg)
ESTABLISHMENT DATASEASONALLY ADJUSTED EMPLOYMENT
B-6. Women employ*** on nonagricuttural payroll* by industry division and major manufacturing group, seasonally adjusted
llnthounndi)
Industry division and group
TOTAL . . .
GOODS-PRODUCING
MINING*
CONSTRUCTION . .
MANUFACTURING
DURABLE GOODSLumber and wood productsFurnitures and fixturesStone, clay, and glass productsPrimary metal industries .Fabricated metal productsMachinery, except electrical'Electric and electronic equipmentTransportation equipment 'Instruments and related productsMiscellaneous manufacturing ind
NONDURABLE GOODSFood and kindred productsTobacco manufacturesTextile mill productsApparel and other textile productsPaper and allied productsPrinting and publishingChemicals and allied productsPetroleum and coal products .Rubber and misc. plastics products . . . .Leather and leather products
SERVICE-PRODUCING
TRANSPORTATION AND PUBLICUTILITIES.
WHOLESALE AND RETAIL TRADE ..
WHOLESALE TRADERETAIL TRADE
FINANCE. INSURANCE, ANDREAL ESTATE
SERVICES
GOVERNMENT
FEDERAL . . . .STATE AND LOCAL
A p r .
36,798
6,902
87
3 4 8
6,467
3,085115147134134359470893327293213
3,382508
26420
1,071162474268
25276152
29,896
1,205
8,690
1,3097,381
2,838
9,814
7,349
8516,498
Kay
36
6
6
3
3
1
29
1
8
17
9
7.
6
,898
89
352
,478
,092115146134135359472897331293210
,386511
27419
,068161475270
26277152
,979
,221
,706
,316,390
,855
,857
,340
856,484
June
37,021
6,945
92
356
6,4'97
3,110115146134138361474906331294211
3,3875 H
26420
1,061161478273
27277153
30,076
1,239
8,718
1,3187,400
2,875
9,883
7,361
8586,503
July
3 7 ,
6 ,
3 ,
3 ,
3 0 ,
1 ,
8,
1,7 ,
9,
7,
6 ,
230
963
94
362
507
116114148134137361477914326294211
391506
41907216?482273
27281144
267
2.41
751
326425
887
924
464
RSO605
1979
Aug.
37,431
6,912
95
362
6,455
3,077114148133135360475898308295211
3,378507
25419
1,057162484272
27275150
30,519
1,249
8,781
1,3277,454
2,906
9,955
7,628
8746,754
Sept.
37,350
6,935
93
366
6,476
3,115116147134135360483911324295210
3,36149926
4191,051
161487271
27270150
30,415
1,258
8,804
1,3307,474
2,912
9,991
7,450
8636,587
Oct.
3 7 ,
t .
6 ,
3 ,
3 ,
1 '
3 0 ,
1 ,
8,
1 ,7 ,
10,
7,
6 ,
521
965
94
367
504
119116147134134361483916322296210
38551?
4?005516?490274
?7269150
556
262
842
333509
930
031
491
864627
NOT.
37,693
6,967
95
371
6,501
3,120113147134134362486918320296210
3,381510
23422
1,050161494276
27268150
30,726
1,274
8,875
1,3417,534
2,941
10,063
7,573
8636,710
Dec.
3 7 ,
6 ,
6 ,
3 ,
3 ,
1 ,
3 0 ,
1 ,
8,
1 ,
i.
10,
7,
6 ,
739
990
95
373
522
13611214713513336?489929320297212
386511
4?4050161496278
28266149
749
27 3
846
343503
95?
094
584
715
Jan.
37 .941
7,010
6
3
3
1
30
1
8
17
10
7
6
95
375
,540
,140111147135132362500932311298212
,400510
24
,05916?500278
28267149
,931
,273
,926
r351,575
,98?
,150
,600
873,727
1980
Feb.
38,139
7,017
97
377
6,543
3,141112146135132362501933310300210
3,40250924
424
#162502280
23265149
31,122
1,280
8,99?
1,3617,634
3,001
10,225
7,621
8856, 736
Mar.
38,157
7,025
99
380
6,546
3,148112146135132361503937311302209
3,398503
24424
1,066162503280
23264149
31,132
1,283
8,973
1,3657,608
3,008
10,217
7,651
9126,739
Apr.
3 8 , 213
965
100
382
483
3,103
3 ,
1 '
3 1 ,
1 ,
8 ,
7 ,
10,
7,
1 f
6 ,
104146132131352500931298301208
380500
4??0 5616?50?280
24261148
248
286
947
363584
018
261
736
000736
1 The unadjusted data are shown because the seasonal component is small relative to the trend-cycleand/or irregular components and consequently cannot be separated with sufficient precision.
NOTE: In accordance with usual practice, BLS has revised establishment survey datato reflect a new benchmark and updated seasonal adjustment factors. Because ofthese revisions, establishment data In this table may differ from data published earlier.See article in this issue for additional information.
109
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 112: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/112.jpg)
ESTABLISHMENT DATASEASONALLY ADJUSTED EMPLOYMENT
B-6. Production or nonsupsrvisory workers1 on private nonagricuKural payrolls by industry division and major
manufacturing group, seasonally adjusted(In thousands] .
Industry division and group
1979
June July Aug. S«pt. Oct. BOY. Dec.
1980
Jan. Feb. Bar. Apr-
TOTAL PRIVATE
GOODS-PRODUCING
MINING
CONSTRUCTION
MANUFACTURING
DURABLE GOODS
Lumber and wood productsFurniture and fixturesStone, clay, and glass productsPrimary metal industriesFabricated metal productsMachinery, except electricalElectric and electronic equipmentTransportation equipmentInstruments and related productsMiscellaneous manufacturing ind .
NONDURABLE GOODSFood and kindred productsTobacco manufacturesTextile mill productsApparel and other textile products . . .Paper and allied productsPrinting and publishingChemicals and allied productsPetroleum and coal productsRubber and misc. plastics products . . .Leather and leather products
SERVICEPRODUCING
TRANSPORTATION AND PUBLICUTILITIES
WHOLESALE AND RETAIL TRADE
WHOLESALE TRADERETAIL TRADE
FINANCE. INSURANCE, ANDREAL ESTATE
SERVICES
60,468
19,438
715
3,573
15,150
9,183654404562995
1,3121,6491,4041,442
421340
5,9671,188
57772
1,122535698635136610214
41,030
4,331
17,769
4,27613,493
3,778
15,152
60,545
19,452
723
3,589
15,140
9,173653406559991
1,3061,6561,4071,435
420340
5,9671,182
56772
1,131539704633136611203
41,093
4,318
17,793
4,27713,516
3,788
15,194
60,582
19,369
731
3,592
15,046
9,103652406559983
1,2901,6441,3771,430
421341
5,9431,181
55769
538704632136604210
41,213
4,341
17,839
4,28413,555
3,812
15,221
60,667
19,386
734
3,594
15,058
9,129654405558975
1,3011,6561,3981,423
420339
5,9291,172
56768
1,110538706633137599210
41,281
4,342
17,878
4,;29113,587
3., 805
15,256
60,795
19,368
736
3,607
15,025
9,0696564 06556968
1,2991,6251,4031,397
421338
5,956V184
56772
1,114539709635137599211
41,427
4,360
17,938
4,30613,632
3,811
15,318
60,857
19,306
737
3,621
14,9 48
9,001644406553962
1,2981,6131,3971,371
419338
5,9471,187
49773
1,108538715636137595209
41,551
4,370
17,990
4,32113,669
3,819
15,372
60,958
19,382
74C
3,666
14,956
9,00963340!553952
1,2931,6061,4091,397
421340
5,9471,»188
52776
1,108537714637138589208
41,576
4,361
17,970
4,31813,652
3,82:
15,42:
61,206
19,471
746
3,814
14,911
8,953629404554948
1,2821,6591,4141,304
421338
5#9581,182
53776
1,1175397*8639139588207
41,735
4,347
18,028
4,3313,696
3,844
15,516
61,308
19,371
750
3,750
14,871
8,967629403553945
1,2861,6491,4081,336
423335
5,9041,177
53775
1,423538719637
91584207
41,937
4,,346
18,138
4,34813,790
3,860
15,593
61,124
19,181
750
3,581
14,850
8,96.162140154 9941
1,2861,6491,4*31,339
427335
5,88.91,169
53775
1,126537717636
88582206
41,943
4,345
18,098
4,34713,751
3,869
15,631
60,725
18,814
755
3,509
14,550
8,686577398530924
1,2521,6301,4001,220
423332
5,8641,157
54771
1,111532715637109573205
41,911
4,329
18,029
4,33413,695
3,873
15,680
60,330
18,436
763
3,492
14,181
8,386546379513875
1,1971,6211,3591,156
420320
5,7951,155
54755
1,100521709630131539201
41,894
4,309
17,974
4,30513,669
3,896
15,715
59,852
18,117
757
3,435
13,925
8,183538364497830
1,1581,5881,3211,158
418311
5,7421,149
54740
1,104513708623131520200
41,735
4,304
17,881
4,28313,598
3,909
15,641
1 For coverage of series, see footnote 1, table B-2.
p » preliminary.
NOTE: In accordance with usual practice, BLS has revised establishment survey datato reflect a new benchmark and updated seasonal adjustment factors. Because ofthese revisions, establishment data In this table may differ from data published earlier.See article in this issue for additional information.
110
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 113: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/113.jpg)
ESTABLISHMENT DATASEASONALLY ADJUSTED EMPLOYMENT
B-7. Indexes of diffusion: Percent of industries in which employment1 increased
Van and month Over 1 -month span Over 3-month span Over 6-month span Over 12
1977
JanuaryFebruaryMarch
AprilMayJune
JulyAugustSeptember
OctoberNovemberDecember
19 78
JanuaryFebruaryMarch
AprilMayJune
JulyAugustSeptember
OctoberNovemberDecember
1979
JanuaryFebruaryMarch
AprilMayJune
JulyAugustSeptember
OctoberNovemberDecember
1980
JanuaryFebruaryMarch
AprilMayJune
JulyAugustSeptember.
October.NovemberDecember
72.466.973.5
72.471.265.1
64.060.570. 1
65.171.875.0
68.668.671.8
69.861.964.2
61.067.767.2
68.075.374.7
66.966.362.2
49.758.157.8
57.054.452.9
65.155.253.5
60.254.945.9
28.229.7p20.9p
78.584.383.1
83.476.271.2
67.772.172.1
77.678.578.2
80.877.380.2
74.773.066.6
68.070.174.1
78.281.181.7
75.970.364.0
60.254.759.9
53.852.057.6
61.961.957.3
57.652.636.6
30.2p21.5p
86.085.884.9
80.880.277.9
74.176.779.1
81.484.682.0
82.382.879.9
74,75,74.7
73.377.680.5
82.079.178.2
74.771.864.0
60.553.851.5
58.155.555.2
59.363.156.4
42.737.5p30. 8p
79.180.882.3
83.485.286.0
84.982.682.3
82.680.881.7
79.782.381.1
84.683.782.6
81.179.979. 1
74.76,74.4
73.370.669.2
67.763.458.4
59.654.950.6
44.240.4p37.5p
1 Number of employees, seasonally adjusted, on payrolls of 172 private nonagricultural industries,p * preliminary.
NOTE: In accordance with usual practice, BLS revised establish-ment survey data to reflect a new benchmark and updated seasonaladjustment factors. Because of these revisions, establishment data inthis table may differ from data published earlier. See article in thisissue for additional information.
i n
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 114: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/114.jpg)
ESTABLISHMENT DATASTATE AND AREA EMPLOYMENT
B-8. Employees on nonagricuttural payrolls for States and selected areas by industry division
(In thousands)
Statt and area
Total
HA I1979
APB.1980
HAT 71980P
HAT1979 1980
HAY1980P
Construction
HI I1979
APB.1980
HAI1980P
Manufacturing
HAI1979
AfB.1980
HAY198 OP
45
53
5556575859606162
ALABAMA . . . .Birmingham .Huntsville...MobileMontgomery.Tuscaloosa..
ALASKA
ARIZONA .Phoenix.Tucson .
ARKANSASFayetteville—SprlngdaleFort SmithLittle Rock-North Little Rock . . .Pine Bluff
CALIFORNIAAnaheim-Santa Ana-Garden Grove.BakersfieldFresno
1 , 3 6 2 , 1358.0120.9147.5107.850.3
169.3
971.0608.0174.3
755.964.169.1
182.232.5
Los Angeles—Long BeachModestoOxnard-Simi Valley-VenturaRiverside-San Bernardino-Ontario .SacramentoSalinas—Seaside—Monterey .San DiegoSan Francisco—OaklandSan JoseSanta Barbara-Santa Mar ia-Lompoc .
Santa RosaStocktonVallejo—Fairfield-Napa
9,623,804.124.180.
3,586.85.
146.431.390.
87.635.
1,511.628.119.88.
117.96.
COLORADODenver—Boulder.
CONNECTICUTBridgeportHartfordNew BritainNew Haven—West HavenStamfordWaterbury
DELAWARE . .Wilmington.
DISTRICT OF COLUMBIA.WashingtonSMSA . . . .
FLORIDABradentonDaytona BeachFort Lauderdale—Hollywood..Fort Myers—Cape CoralGainesvilleJacksonvilleLakeland-Winter Haven . . . . .Melbourne-Titusville-CocoaMiamiOrlandoPanama CityPensacolaSarasotaTallahasseeTampa—St. PetersburgWest Palm Beach—Boca Raton
See footnotes at end of table.
1 , 2 0 7 . 7771.7
1,403.4165.2387.5
59.8187.8106.589.4
258.4227.9
615,71,507.7
3,359.242.074.7
321.060.662.9
286.6110.596.8
689.5273. 132.795.167.470.4
517.1190.9
1,365.2362.2119.7149.0108.850.4
165.0
1,008.3632.2183.1
754.566.365.1
181.232.3
9,804.2832.4127.7185.8
3,676.786.9
149.1446.3402.986.5
647.51,531.7
655.8119.489f6
117.897.7
1,251,0799.7
1,411.1168.2397.862.2
191.8108.188.8
254.6219.9
618.61,517.5
3,538.042.977.3
335.362.565.3
286.4115.1101.1715.9282.133.696.571.273.1
527.8203.3
1,360.2361.5120.0147.9107.750.4
(*)
1,003.1629.2182.1
753.465.567.3
181.632.0
9,803.8834.3128.2186.1
3,663.887.5
150.5446.8404.487f3
647.91,535.1
655.2120.890.3
119.698.3
1,252-1801.4
1,415.0168.2399.4
62.4192.6108.789.4
259.5223.8
620.61,528.6
42.676.0
332.561.665.5
286.3113.1100*9710.9282.5
33.497.069.873.6
524.0201.6
16.710.0
(D(1)O)1.3
6.0
21.0. 2
6.4
4.8(1). 8
(D(1)
39.02.2
10.6• 9
11.8• 1
2.42.6
. 4•J.7
2.4. 1
1.2. 4. 1• 2
29.515.7
(2)(2)<2i(2)(2)(2)(2)
(D(D
(D(1)
9.9
(D(D(1)(D0)5.5
fD(D(1)
O)(1)(1)(1)(t)(1)
17.210.1
(1)(1)(D1.7
5.9
23.7.3
7.4
4.8
(1).9
(1)d)
40.42.2
10.8.9
12.1• 1
2.42.6<.4.7.7
2.4.2
1.2• 4.1.3
32.217.1
(2)(2)(2)(2)(2)(2)(2)
(D(D
(1)
10.1
(D(D(D(D(1)5.8
(D
n>(Dd)(Ud
10.1
1.8
(•)
24.0. 3
7.5
4.8(D.8
(1)(1)
40.82.2
10.9.9
12.2.1
2.42.5.4.7.7
2.5• 2
1.2.4.1.3
32.617*3
(2)(2)(2)(2)(2)(2)(2)
(DCD
(D0)
10.2
(D(1)(D(1)
CD-5.8(D(1)(D(?)(D(D(D(D1
77.322.2
4.710.68.73.0
9.7
84.455.714.8
42.03.33.3
10.02.8
458.250.86.8
12.7119.0
6.68.3
29.023.83.6
40.973.326.0
5.26.16.44 . 9
77.847.0
52.45,9
12.92.27.24.83.2
15^916.2
14.780.9
232.73.34.4
25.97.63 .1
15.98.26.4
34.517.72.26.67.23.4
35.017.7
68.021.2
4.210.38.72.4
8.6
74.649.513.7
37.13.32.79.02.8
433.346.76.2
13.0114.8
6.58.3
29.623.33.1
37.572.324.8
5.25.56.14,6
78.946.2
43.95.3
11.01.75.34.53,1
13.612.7
14.373.3
266.43.04,7
30.18.23.6
15.78*45.9
41.319.22.26.86.93.1
35.018.4
67.921.5
4.39.27.82.4
(•)
72.748.413.3
36.93.42.99.43.1
423.846.96.3
13.1112.5
6.48.1
29.723.02-9
36.872.724.85.25.46.14.7
79.145.8
45.95.5
11.91.95.34.73.5
14.012.9
14.474.0
266.22.94.7
30.38.23.9
15.78.86.0
40.719.32.26.66.63.1
34.018.1
373.770.736.729.216.09.2
13.2
139.8104.017.7
218.019.524.232.06.2
1,984.9213.2
9.023.2
928.817.723.467,426.210.4
100.8205.4218.1
16.413.920.510.4
177.3122.0
434.664.895.827.145.331.234.2
70.164.1
15.253.2
437.67.08.1
39.33.73 .8
34.62 0.219.6
100.035.2
3.113.36.22.6
72.925.5
368.868.535.729.816.88.6
10.7
151.7111.620.3
211.819.321.530.86.0
1,991.6220.7
9.622.9
934.617.523.767.726.28.6
102.9199.2232.3
14.914.219.710.1
183.0126.6
441.766.499.929,544.231.932.1
67.360.7
15.554.9
447.47.38.0
41.54.03.6
33.721.921.5
100.436.43.2
12.86.02.4
72.927.3
363.766.835.429.616.68.7
<*)
151.3111.320.4
207.819.021.630.46.0
1,973.8219.7
9,622.7
923.817.824.067.026.49*1
102.7201.8231.4
16.014.220.210.1
182.2126.1
438.165.499.729.243.731.931.7
70.163.3
15.554.7
439-27.27.9
41.54.03.6
34.020.421.299.135.93.1
12.85.92.4
72.127.2
112
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 115: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/115.jpg)
ESTABLISHMENT D A T ASTATE A N D AREA EMPLOYMENT
B-8. Employees on nonagricultural payrolls for States and selected areas by industry division—Continued
(In thousands)
Tf sraportotlon sndpublic utilitin
• AY1979
72.028.6
2 . 711.0
4 . 71.9
16.6
48.328.8
6 . 8
44.03*73 . 8
14.34 . 0
522.225.9
7 . 510.4
196.53 . 86 . 2
23.621.2
4 . 827.8
119.520.7
4 . 74 . 48 . 44 . 6
74.352.6
61.66 . 1
15.41.5
16.03 . 73 . 2
12.612.1
25.765.0
208.0J . 43 * 1
16.13 . 41.6
23.45 . 04 . 3
68.013.7
1.64 . 92 . 82 . 3
29.18 . 3
APE.1980
72.329.0
2 . 711.14 . 61.8
16.7
49.429.3
8 . 6
43.14 . 03 .7
13.74 . 1
541.826*97 . 7
10.4203.0
3 .76 . 1
24.321.9
4 . 628.2
126. 821.1
4 . 74 . 58 .74 . 5
76.653.6
62.16 . 1
15.91.4
16.03.93 . 2
12.712.1
25.767.0
218.01.43*3
16.23 . 8M.7
23.65 .34 . 6
71.013.81.75 . 22 .92 . 4
29.48*5
HAT1980P
72.229.1
2 .711.0
4 . 61.7
(*)
49.129.2
8 .6
43.14 . 03 .7
13.73 .8
546.527.37.8
10.7203.4
3 . 86 . 2
24.321.9
4 . 928.2
126.821.1
4 . 74*68 .94 . 5
77.153.9
62.46 . 2
16.01.5
16.14 . 03 .2
12.712.1
25.767.3
217.11.43 .3
16.23 . 91.6
23.35 .34 . 6
70.713.6
1.65 .32 .92 . 4
29.28 .6
yjt_i--A|_ j • • • • I I -«- • -
ffVKMMfllO rnnM m i l l Tr«u€
HAT1979
275.084.922.236.524. 2
9,6
29*6
231.7154.338.9
163.515.614*842,2
6 .5
2,200.0193.932.046.8
809.520.934.4
103.191.122.3
144.2348.8117.730.321.126.720.3
297.2188.8
297.533.680.910*740.124.215.6
56.646.5
65.7285.7
891.112,321.292.917.814.373.826.921.3
178*375.6
9 . 122.019.914.1
142.948.9
APR.1980
277.686.922.337.023.6
9.8
28.9
241.6161.740.5
162.116.414.141.4
6.4
2,234.2201.932.947.5
826.122.234.4
107.996.122.2
146.9352.4123.230.922.026.420.7
301.6191.7
297.534.183.110.741*024.615.6
56.244.1
64.3281.2
947.713.121.793.217.614.272.927.622.3
183.173.4
8 .522.021.515.2
145.052.3
HAT1980P
277.087. 122.436.723.6
9 . 7
<*)
241.1161.440.2
162.316.415*041.4
6 . 3
2,248.5203.233.148.1
830.022.334.7
108.296.322.3
146.6353.6423.3
30.922.127.120.9
302.4192.3
299.634.583.010.841.324.615.7
57.044.4
64.2283.3
943,'212.921.090.517.014.172.727.222.5
183.173*. 1
8 . 622.320.815.1
143.451-5
Financs, insurance,
and real estate
HAT1979
58.422*7
3 , 47 .06 .01.7
8.7
54.041.5
7.8
31.02 . 22 .4
12.31.3
591.45 U 5
4 . 610.5
223.03.46.9
18.520.4
4 .237.0
139.325.6
5.45 .44 . 83 .4
73.552.9
98.56 .8
56.14 . 8
10.07 .33 .3
11.710.8
34.589.0
230.62 . 54 . 1
26.25 . 12 . 8
27.65.83 .9
49.117.3
1.74 . 45 .43 .0
35.715.5
APR.1980
57.723.0
3 .47 .46 . 01.7
8 . 1
56.943.9
8 .3
31.92 .32 . 5
12..41.3
607.754.9
4 . 511.1
225.43 .56 .9
19.221.24 . 4
38.1142.826,2
5.45 .55 . 03 .4
77*656.1
101.96 .8
59.01.9
10*57 . 33 ,4
11.810.8
34.189.8
240.92 .84 . 3
27.25.62 . 7
27.26 . 14 . 1
51.318.9
1.94 . 35 . 72.9
37.416.5
HAT1980P
57.723.0
3 .47 .46 .01.7
(*)
56.643.7
8*2
32.12.32 .6
12.51,3
610.354.9
4 . 511.1
225.63.56 .9
19.321.3
4 .437.8
142-726.2
5.45 .55 . 03 .4
77.756.3
102.16.9
59.31.9
10.57 .23 .5
11.810.8
34.490.5
241.22 .74 . 3
27*25.52 .7
27.26 .14 . 1
50.819.01.94 .45.63.0
37.616.4
Services
HAT1979
197.864.217.028.119.56 .0
29.7
168.7120.836.0
110.58.3
11.133*5
5.0
2,054.7161.822.335*1
802.715.928.587.970.319.1
141.8330.2139.831.817.223.118.1
236.3157.4
275.331.272.4
9.644.925.518.5
45.840.5
173.7389.7
736.68.1
20.376.312.410.357.321.823.0
167.37 1 . 0
6.119.016.310.0
120.645.7
APfc.1980
200.966.717.327.619.6
6 .3
30.5
198.3129.237.9
116.58 .8
11.a34.8
5.0
2,152.7168.522,536.6
845.216.529.492.274.519.2
147.2340.6146.932.717.324.1si 8.6
252* 3166.7
279.432.574.510.147.926.319.6
46.440s 8
179,,. 1402.2
785.58.4
21.282.312*610.759.022.824.0
174.874.7
6 .419.817.912.4
127.2. 49.6
HAT.1980P
200.666.817.427.819.66 . 4
(*)
197.2128.137.7
116.48 .7
11.135.0
5 , 0
2,154.7168.722.636*7
842.516.629.492.475.319.3
148.2340.4147.332.917.324.118.8
251.7168.0
282.032.774.610.248.626.819.7
47.141.4
178.4403.5
775.68 . 5
20.881.312.410.858.922.423.7
172.375.9
6 . 419.917.712.2
126.648.8
Government
HAT1979
291.254.734.225.128.717.6
55.7
203.1102.743.9
142.111.58.7
37.96 .7
1,773.5105.631.341.3
494.816.936.699.2
136.622.7
142.6292.880.624.720.227.635.0
241.9135. 2
183.516.653.9
6 . 924.4
9.611.4
45.637.7
286.2544.2
612.67 ,4
13.544.310.627.054.017.116.392.342.6
8 . 924.9
9.635.060.929.3
APB.1980
302.756.834.126.129.518.1
55.6
212.1106.746.4
147.212.28.7
39.16 .7
1,602.5110.633.543.4
513.516.937.9
102.8139.323.7
146.0295.281.124.420.227.735.5
248.7141.6
184.617.054.4
6.926.9
9.611.8
46.738.7
285.6549.1
622.06.9
14.144.810.728.854.317.218.794.045.7
9.725.610.334.780.930.7
HAT1980f
304.057*134.426.229.518.0
<*)
211.1106.846.2
147.011.79 . 6
39.26 . 5
1,805.4111. f33.442.8
513.817.038.8
103.4139.623.7
146.9294.680.924.520.528.135.6
249.2141.7
184.917.054.9
6 . 927.3
9 . 512. 1
46.838.9
288.0555.3
625.47 . 0
14.045.510.628.854.517. 118.894.245.7
9 . 6.5.71C.335.481.131.0
123456
7
89
10
1112131415
1617181920212223242526272829303132
3334
35363738394041
4243
4445
4647484950515253545556575859606162
113
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 116: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/116.jpg)
ESTABLISHMENT DATASTATE AND AREA EMPLOYMENT
B-8. Employees on nonagricuhural payrolls for States and selected areas by industry division-Continued
(In thouandt)
123/\t\
67
8q
1011
1?13141516171819202122
23212*>2627282930313233
343536373839
10111213
11454647
4849505152535455
565758
5960
State and area
GEORGIAAlbany .Atlanta . . .AugustaColumbusMaconSavannah
HAWAIIHonolulu
IDAHOBoise City
ILLINOISBloomington—NormalChampaign—Urbana—Rantoul .Chicago—Gary-Chicago SMSA 3
Davenport-Rock Island-Moline . . .iDecaturKankakeoPeoriaRockford «Springfield
INDIANAAndersonElkhartEvansvillePort WayneGary-Hammond-East Chicago ?. . .IndianapolisLafayette—West Lafayette . . .MuncieSouth BendTerre Haute
IOWA . . .Cedar RapidsDes MoinesDubuqueSioux CityWaterloo—Cedar Falls
KANSASLawrenceTopekaWichita
KENTUCKY . . .Lexinaton—FavetteLouisvilleOwensboro
LOUISIANAAlexandriaBaton Rouge . .LafayetteLake CharlesMonroeNew OrleansShreveport
MAINELewiston—AuburnPortland
MARYLANDBaltimore
Total
HAY1979
2,116.143,9
932.6120.482.295.285.5
392.3324.8
338.783.3
(*)49.973.2
(*)3,226.2
165.654.035.3
155.0122.283.4
2,273.553.979.8
130.3187.6273.0542.756.251.9
117.868.0
1,142.785.0
183.144.849.767.5
955.128.987.4
203.3
1,260.0150.2409.230.7
1,491.950.9
189.772.263.249.8
490.0143.9
416.834.889.0
1,631.1900.4
APB.1980
2,137.045.6
940.8121.783.095.583.9
410.5339.6
325.978.3
<*)(*)(*)(*)(*)(*)(*)(•)(•)(*)(•)
2,219.247.274.5
126.7170.3264.9540.158.151.0
114*366.4
1,129.286.4
181.145.250.069.3
954. 129.388.4
210.0
1,223.7150.7393.730.0
1,524.550.9
192.075.363.848.6
495.5145.1
412.036.191.9
1,632.8900.7
HAY1980P
2,130.345.1
942.7120.683.195.283.7
408.7337-7
( • )(*)
(*)50.475.5
(*)3,230.4
163.154.034.5
152.6121.086.0
2,232.745.772.9
127.2179.9263.8545.456.650.8
113.165.7
1,125.385.9
179.244.950.268.8
955.329.188.4
208.5
1,229.1149.4
(*)30.3
1,517.451.1
192.373.961.148.4
494.2144.7
415.936.392.0
1,639.9904.7
Mining
HAT1379
7.6(1)(1)(D(1)(1)(D
(1)(D
4 .0
(D
30.4(2)(2)(•)5.0(2)(2)(2)(2)(2)(2)
10.90 )
2 .9
(1)(D(1)(D(D(1)1.4
2.6(1)(D(D(1)(D
13.7(2). 2
2 .3
55.0(D(D.7
73.6(D.9
12.51.8.5
16.14*7
(1)(D(D
(1)in
APR.1980
7 . 5(1)(1)(1)(1)(1)(1)
(1)(1)
3 . 6(D
(*)(•)(•)(•)(*)(•)(•)(•)(•)(•)(*)
10.9(1)
2 .6(1)(1)(1)(D(1)(1)1.5
2 .4(1)(IK(D(1)(D
14.4(2). 2
2 . 6
54.2(1)(1).7
78.6(D.8
12.91.9
• 516.44.9
(1)(Dd>
(1)(D
HAY1980P
7.5(1)(1)(1)0 )(1)(U
(1)(1)
( * )(**
29.4(2)(2)<•>5.1(2)(2)(2)(2)(2)(21.
11.1(1)
2 .7(1)(1)(1)(1)(1)P>1.5
2.5(1)(1)(DO)(U
14.6(2). 2
" 2.7
55.0(D(*).8
79.7(D• 8
13.01.9
.516.44.9
(1)(D(1)
(1)
Construction
HAY1979
98.44 . 3
39.86 . 54 . 04 . 45.3
22.818.6
19.36.1
187.21.72.2(•)
119.47.72.61.38.03.42^9
109.41.42 . 56 .38 .5
19.625.22.32.15 .04 .0
59.34 * 18 . 21.32.42.9
52.01 . 43 .7
10.3
74.19.5
21.22.2
122.03..0
20.85 .98.23.7
30.11O.,3
19.21.54.a
106.552.1
A*B.1980
96.83 .2
38.06 .13 . 64 . 04 . 4
23.018.2
14.74.9
(*)(*)(•)(•)(*)(•)(•)(•)(•)(•)(•)
101.61.02 . 16 .97.6
19.323.8
2.01.84 . 83 .5
47.73 . 76 . 91,52.23.1
49.41.34 . 2
10.1
60.39.5
16.72.0
130.22.8
22.46.27.83.6
30.68.3
17.01.53.3
96.247.3
HAY1980P
97.03 .4
38.15 .93 .84 . 14 . 4
23.118.0
(*)(•)
180.31.42.2(•)
13.77.12.41.47.33.53.6
08.31.12.27 . 28 .0
19.225.2
2.21.94 . 93 .6
48.43 .66 . 81.62.43.4
51.41.24 . 2
10.3
60.710.0
(•)2.0
126,62.9
21.66.24.73.8
30.67.8
18.51.73.7
96.748.8
MtntifscturtnQ
HAY1979
528.510.4
144.036.321.715.316.5
23*417.4
58.19.5
(*)7.57.7(*)
853.851.120.110.152.556.47.2
750.325.543.540.064.9
106.5135.312.415.135.317.4
260.729.326.717.08.9
23.4
198.84 . 8
12.264.6
299.731 . C
111.67.0
211.46.0
25.83 . 3
12.98.6
54.827.7
113.512.217.6
245. 6165.1
Affi*1980
519.411.3
141.236.421.916.016.0
22.916.2
52.99.5
(*)(*)(*)(•)(•)(*)(•)(*)(•)(*)(•)
690.920.539.537*049.897.1
125.911.813.732.216.7
251.628.926.517.28.7
24*9
192.15.0
10.967.6
280.930.1
100.76.4
208.55.8
25.73.6
12.97.7
53.727.3
111.912.318.0
239.3159.9
HAY1980P
514.511.1
141.036.221.815.716.0
23.016.4
( • )(*)
(*)7 .77 .7(*)
817.748.819.39.7
50.255.3
6 . 5
686.119.037.736.358.595.3
125.911.513.331.416.3
244.228.524.516-88.7
24.1
187*54 . 9
10.965.7
281.429.2
(*)6.5
206.45.6
25.83*6
12.97.6
53.726.7
111.412.317.9
237.7159.0
See footnotes at end of table.
114
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 117: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/117.jpg)
ESTABLISHMENT DATASTATE AND AREA EMPLOYMENT
B-8. Employees on nonagricultural payrolls for States and selected areas by industry division—Continued
(In thousands)
Tramportatkm and—-.•VIS — . * * I | S * 1 A *
PUDIIC UuliTiM
HAY1979
135.72 . 0
84.94 . 33 . 54 . 88 . 7
29. 123.9
20.45 . 3
285.53 . 02 . 5(* )
196.18 . 05 . 0! * •8 . 15 . 05 . 6
112.51.62 . 47 . 0
11.615.932.2
1.72 . 15 .44 . 2
58.84 . 2
12.11.74 . 22 . 7
65.81.57 . 5
10.2
70.9> . 4
25.32 . 3
114.12 . 59 . 84 . 83-52 . 5
49.310.0
18.81 .15 . 3
87.962.2
APS.
1980
138.22 . 1
86.24 . 43 . 54 . 88 .7
30*725.6
20.05 .1
(*)( • )( * )( * )( • )( • )
( •>( • )( • )( • )( • )
110.31.52 .36 .9
11.515.732.8
1.62 .05 .33 . 9
58.13 .9
11.71.64 . 02 . 8
65.11.47 . 5
11.1
68.97 .8
24.62 . 3
114.82 . 5
10.35.23 .72 . 5
49.Q10.3
18.71.15.4
86.261.5
HAT1980P
137.52 . 2
85.54 . 53 .64 . 98 .6
30.525.4
(*)( • )
290.52.92 .8(*)
214.07 .15 .21.68.34 .95.4
109.61.52 .36 .9
11.615.732.8
1.62 .05 . 03 .9
58,03 .9
11.61.64 .02 .7
65.41.47 . 5
11.1
68.77.8(*)2 . 3
114.92 . 5
10.45.23 ,92 . 5
49.310.4
19.11.15.5
87.261.9
ffiKHMwt •no rvtsu xracra
HAY ,1979
490.09.9
255.322.717.620.219.8
102.685.5
82.721.5
( • )10.917.6
<*)751.3
39.610.8
36.424.818.4
504.410.815.332.445.155.0
135.011*712.129.517.0
287.018.048.5
9 .013.114.2
226.55.7
19.044.9
269.633.391.2
7 .0
353.711.342.319.314.213.3
123.134.9
90.57.9
24.2
384.0193.4
APB.1980
501.210.1
259.422.816.719.919.4
106.689.2
81.519.5
( • )( • )( * )( * )<*)i*K(*)( • )f*)( • )( • )
492.89.8
14.531.843.755.0
136.911. 412.328.916.7
286.619.848.0
9-813.713.6
225.85.7
19.144.8
260.931.587.3
6.9
359.011.144.520.514.213.0
124.8.35.6
88.38.5
26.0
382.5191.8
HAY1980P
498.410.1
259.722.416.619.619.3
106.989^5
> )
10.918.2
( • )731.940.61Q.77 .3
35.624.519.0
497.69 . 7
14.532.143.955.0
138.111.412.528.916.5
286.219.447.8
8 . 813.713.6
227.05 . 8
19.145.0
263.1.30.4
( * )6 .8
359.611.044.920.614.212.7
124.835.8
89.78 .5
25.8
385.5192.7
Finance, inturance,and raal attate
HAY1979
106.71.9
63.64 .55.25.74 . 1
30.(*26.0
23.09 .1
286.27,'72 .2<*>
220.77 . 02 .81.17.14 . 16.7
101.51.72 . 14 . 5
10.49 . 6
37.72 .91.65.42 .2
56.54 .3
20.01.22 .92 , 1
45^5. 9
6 . 09 . 0
50.77 .0
22.81.2
73.22 .8
11.12 .32.63 .5
29.57 , 0
16.31.57 .0
89.353.9
APE.
1980
107.92 .3
63.64 . 65.25 .64 . 1
31.126.9
22.-9.7.8
( • )( * )( * )( * )( * )( * )<*V( • )( * )( * )( • )
102.51.62 . 14 .5
10.69 .6
38.52 . 51.65.32-t
58.54.6
20.01.22.92 . 1
46.3. 9
6 . 19 . 1
50.37 .4
22.91.2
75.42 . 9
11.12.42 .73 .5
30.3
16. €1.67 .3
91.855.4
HAY1980P
108.42 .3
64.04 . 65.25.64«1
31.127.0
(*)(*)
296.67 .62 . 2(*)
220.86.92 .8V 27 .34 . 26.6,
102.41.62 .14 .5
10.69 . 6
38.92 .61.65.32 . 1
58.94 . 5
20.01.22.92 . 1
46.6. 9
6 . 29 . 1
50.77 . 5(*)1.2
75.42.8
11.22.52 .73 .6
30.37.5
16.71.67.4
92.555.6
HAY1979
326.25.8
186.215.911.215.714.8
95.277.5
60.514.6
(*)8 .1
10.1( • )
635.825.2
7.86.7
25.716.415.2
333-27 .18.9
24.528.934.889.8
9 .07.6
24.39 .6
205.315.338.710.011.310.9
164.83.6
16.837.7
206.528.076.1
5.5
250.99 . 9
30.514.5
9 .07 .6
104,925.0
74.47 .2
18.4
332.5177.5
Services
A P R .
1980
339.76.5
193.816.411.416.415.5
104.384.8
59.113.7
( • )( * )( • )( * )(*>( * )( * )( • )<*)( • )( • )
346.37 . 08 . 8
24.228.935.292.7
9 .18 .1
24.79.6
208.815*638.710.411.611.1
171.33 .7
17.439.5
211.228.577.5
5.6
255.510.330.414.49*27 . 9
105.825.6
74.27 .8
18.5
341.2181.8
HAY198CP
341.26 . 5
195.516.111.416.415.7
104. 184.7
( • )( * )
( * )8 .1
10.3( * )
641.125.4
8 .56 .3
26.516.316.7
350.97 . 08 . 8
24.529.035.393.9
9 . 08 . 1
24.59 . 6
210.315.539.210.411.711.3
172.53 .6
17.439.4
213.528.6
( * )5 .7
255.710.730.814.79 . 27 . 9
105.325.8
75.87 .8
18.7
3H3.6182.6
HAY1979
422.99 . 6
158.730.119.029.016.3
89.275.9
70.717.2
737.311.130.9
( * )444.1
27.04 . 96 . 9
17.212.127.4
351.45.65 . 1
12.718.231.687.516.211.312.912.2
212.59 . 7
28.84 . 46 . 9
11.3
188.011.022.024.3
233.53U.061.0
4 . 8
293.015.448.5
9 .610.910.182.224.3
84.13 . 4
12.5
385.3196.2
APfi.1980
426.210.1
158.631.020.728.815.8
91.978.7
71.217.8
(*)I*)( • )( * )( * )( * )i*)(*)(*)
.(•)( * )
363.95.85 . 2
12.818.233.089.519.711.513.112.4
215.610.029.4
4 . 56 . 9
11.7
189.711.323.025.2
237.035.963.8
4 . 9
302.515.546.810.111.4
9 . 984.125.7
85.33 .3
13.4
395.6203.0
HAY1980P
425.89 . 5
15,9. C31.020.829.015.7
90.076.7
(*)(*)
765.811.83,2.1
( * )456. 127.2
5 . 17 . 0
17.4X2.328.2
366.75 .85 . 3
13.018.333.790.618.31 1 . 4
13.112.2
216.910.329.4
4 . 56 .9
11.6
190.311.322.925.1
236.035.9
( * )5 . 0
299.115.646.8
8 . 111 .6
9 . 883.825.8
84.73 . 3
13.0
396.7204.1
1234567
89
1011
1213141516171819202122
2324252627282930313233
343536373839
40414243
44454647
4849505152535455
565758
5960
115
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 118: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/118.jpg)
ESTABLISHMENT DATASTATE A N D AREA EMPLOYMENT
B-8 Employees on nonagricultural payrolls for States and selected areas by industry division—Continued
{In thousands)
tot* and a
Tot*
HAT.1979
APfi.1980
HAT1980P
HAT1979 1980
APS. HA11980P
Construction
MAX APR. HAT1979 1980 1980P
HAT1979
AfE.1980
HAT198 OP
101112131415161718192021
2223242526
2728
2930313233
343536
373839
404142
434445
4647484950515253545556
5758
59606162
MASSACHUSETTS . . .BostonBrocktonFall River . .?Lawrence—Haverhill'LowellNew BedfordSpringfitld-ChicopM-HolyokeWorcester
MICHIGANAnn ArborBattle CreekBayCltyDetroitFlintGrand RapidsJacksonKalamazoo—PortageLansing—East LansingMuskegon-Norton Shores-Musk. HgtsSaginaw
MINNESOTADuluth—SuperiorMinneapolis—St. PaulRochester ,St. Cloud
MISSISSIPPI.Jackson . .
MISSOURI . . .Kansas CitySt. Joseph.. ,St. LouisSpringfield ..
MONTANA . . .BillingsGreat Falls .
NEBRASKALincoln . .Omaha . .
NEVADALas Vegas.Reno
NEW HAMPSHIRE.Manchester . . . .Nashua
2,605.61,450.5
58.557.9
109.273.865.$
234.0164.5
3,682,140.66,35.
1,816,206,274.55.
109.199,62.92,
1,772.262.4
1,075.049.653.3
842.7146.2
2,022.8644.7
37.71,014.1
85.3
285.247.230.3
632.7101.1267.0
380.5207.2113.7
377.873.360.3
NEW JERSEYAtlantic CityCamden •Hackensack .s
Jersey City .*Long Branch—Asbury ParkNew Bruns.-Perth Amboy-Sayrtville.*Newark *Paterson—Clifton—Pa8saic ?..TrentonVineland-Mlllvil le-Bridgeton.
NEW MEXICO .Albuquerque
NEW YORKAlbany—Schenectady—TroyBinghamtonBuffalo
462.6187..1
7,196.3340.9119.0!517.6
2,663.1,489.
59.57,
111,77,66.
234.* 166,
3,444l138.63,33,
1,668,185,267,51,
110.192,60,83,
1,776.660.8
1,090.349.755.1
835.5147.4
1,999.0621.336.7
973.284.6
280.648.829.3
628.6101.9263.6
397.1218.6116.9
373.873.362.4
473.5192.2
7,096.5339.3117.5506.6
(•)(•)(•)(•)(•)(•)(•)(•)(•)(•)(•)
3,02986
32939422815628294718916555
2,667.91,492.0
60.057.9
111.977.4
(•)232.0166.7
3,426.8136.263.933.2
1,669.6178.1267.0
51.2108.3187.760.081.5
1,795.861.7
1,097.649.754.5
829.3147.3
1,989.4618.4
36.9969.9
84.7
286.5.49.129.8
636.4102.9265.9
398.6218*9117.6
(•)(•)<•)
3,047.589.2
329.9396.1229.4158.6282.1946.1189.3165.555.7
477.7193.7
7,198.6341.0118.2508.8
CD(D(1)(D(D(D(D(D(D
13.6(D(DCD1.3(1)(1)CD(1)(1)(1)(1)
17.4(D0)(2)(D9.41.3
8.0.6
(2)3.1(2)
7.4CD(D
1.7(2)(2)
4.5.4.8
• 5(2)(2)
<•)
(*)(•)
(•)(•)<•)(•)
26.6(1)
5.9(D(DID
CDCDCDCDCDCDCDCDCD
13.6CDCDCD1.3CDCDCDCDCDCDCD
14.7CDCD(2)CD
9.91.3
7.6• 6C2)3.1(2)
7.5CDCD
1.6(2)(2)
5.1.6.8
.4(21(2)
3.0
.1CD
CDCD.9CDCDCD
28.1CD
5.9<DCD
CDI DCDCDCDCDC*)CDID
13.9CDCDCD1.3CDCDCDCDCDCDCD
15.9CDCD(2)CD
10.01.3
7.6.6
(2)3.0(2)
7.7CDCD
1.6(2)(2)
5.2.6
(*)C*)C*)
3.0
.1CD
CDCD• 9CDCDCD
28.4CD
6.1CDCDID
76.441.2
1.71.63.12.81.65.94.7
139.43.22.01.1
61.05.9
14.42.04.46.93.02.6
83.12.0
46.72.32.4
48.28.5
94.331.82.1
46.34.4
15.82.62.1
35.05.1
12.2
27.715.58.1
20.4' 3.42.8
C*)C*)(•)C*)C*)C*)C*)C*)c*>c*>C*)
37.016.1
213.411.84.4
19.0
78.543.1
1.71.52.72.81.46.04.8
117.02.41.71.1
52.75.8
12.11.34.45.52-a2.3
71.21.8
41.81.82.2
43.46.9
85.924.32.0
39.74.0
14.62.41.4
31.24.4
10.8
24.814.66.3
17.03.02.3
104.06.0
12.511.8
3.95.09.8
29.15.33.01.5
34.515.2
180.010.<2.9
17.3
81.244.2
1.81.62.93.1<•)6.24.9
119.92.61.91.1
53.35.9
12.41.44.55.82.32.0
76.52.1
42.32.12.3
44.47.2
77.325.02.2
36.14.0
15.32.31.7
33.14.8
11.3
24.414.46.4
C*)C*)(*)
107.56.3
12.412.0
4.14.89.3
30.95.53.11-6
35.115.5
194.811.23.3
19.5
667.9290.9
12.920.641.425.426.766.548.3
1,195.247.623.910.8
603.488.696.617.036.446.822,437.8
372.88.1
243.29.9
13.1
235.818.7
465.3129.7
9.6258.6
18.2
26.04.31.7
98.614.037.8
19.37.08.3
116.118.827.8
C*)C*)c*>c*><•)C*)C*)C*)
mC*)
34.717.8
1,499.960.643.0
147.5
677.6292.5
12.920.843.728.626.768.048.6
981.341.820.4
9.4477.8
70.489.915.133.238.420.928.1
374.98.2
246.510.012.4
225.619.2
442.5121.4
8.9236.8
18.6
22.44.51.7
97.113.836.7
20.17.48.5
115.617.929.0
791*28.8
7C.6110.969.224.588.1
253.866.335.718.3
35.118.5
1,459.359.242.1
137.3
671.5292.0
13.020.644.128.7
C*)66.948.1
936.540.020.58.9
465.463.787.613.832*131.220.226.7
373.58.0
246.610.012.3
219.418.8
434.3117.9
9.0237.7
18.6
23.64.51.7
96.113.636.0
19.87.48.2
C*)C*)C*)
784.78.9
70.4109.970.225.186.7
249.667.535.018.0
34.918.2
1,460.257.842.0
132.7
See footnotes at end of table.
116
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 119: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/119.jpg)
ESTABLISHMENT DATASTATE AND AREA EMPLOYMENT
B-8. Employees on nonagricutairal payrolls for States and selected areas by industry division-Continued
( In thousands)
i rinspOff u u o n WHO
public utilities
HAT1979
120.471.8
4 . 41.94 . 63 . 32 . 49 . 57 . 0
160.73.72 . 41.8
87.87 . 2
10.95 . 04 . 05 . 53 . 14 . 7
100.96 . 9
64.32 , 03 . 4
40.79 , 7
143.755.8
2.172.4
6 . 5
23.14 . 81.9
46,37 . 1
24,4
22.812.4
7 . 9
13.54 . 71.9
( • )<•)( • )<•)( • )( • )<•)( • )( • )( * )( • )
28.211.4
431,315.74 . 9
28.6
APE.1980
121.973.5
4 . 51.84 . 53 . 32 . 59 . 17 . 1
153.63 . 22 .41.9
82.77 . 0
10.75 .14 . 25 . 83 . 14 . 8
99.26.1
65.e2 . 13 . 6
41.710.1
142.151.42.1
70.46 .6
22,75 . 01,9
46,57 . 3
24,6
24.613.38 .6
13.74 .92 . 0
186.83 . 9
14.919.626.2
5 .922.570.9
6 ,65.62 , 8
28.611,8
430.515,64 . 5
28.2
HAI1980P
121.774.1
4 . 61.84 . 53 , 4(• )9 . 17 . 1
152.53 .22 . 31.9
82.36 . 8
10.65.24 . 25 .73 . 14 . 8
99.86 . 6
64.82*03 . 6
41.710.1
141.751.3
2.168.1
6 .6
23.15 .11.9
47.17 .4
24.8
24.913.5
8 .8
<•)<•)
185.93 . 9
14.919.625.7
5 .922.670.4
6 .65.72 .9
28.611.8
435.915.74 . 6
28.2
v
TfftQiiiira via rraii vwow
HAT197?
566.2312.7
15.511.921.715.712.947.835.4
761.019.611.08.4
371.639.760.511.121.035.911.517.5
446.716.8
266.09.8
12.5
163.235.2
477.9161.9
9,3230.0
24.2
74.415.99 .7
165.422.269.9
75.642.223.8
82.618.511,8
(•)<•)(•)(•)(•)(*)(•)<•)(*)
103.846.9
477.870.121.6
116.3
APR.1980
57*8.7324.6
16.311.721.415.712.946.636.0
740.519.411.3
8 .1357.2
39.060.313.621.436.211.517.4
446,815.9
269.310.013.0
162.435.2
478.2155.4
8.9220.2
22.7
73.616.3
9.4
165.023.168.8
80.444.925.6
82.518.712.2
666.817.285,5
114.345.337*964.6
181.6.41.424.4
9.2
106.447.8
1,430.968.721.4
114.4
HAT1980P
586.1326.1
16.311.921.515.8
( • )46.736.0
749.819.211.38 . 2
362.738.661.110.721.636.711.617.5
452.715.9
272.09 , 8
13.0
162.135.1
480.4154.9
8.8220.4
23.0
74.416.29 . 5
166.223.169.3
80.844.9
'25.9
(*)(*)( • )
677.618.685.8
115.445.438.965.4
182.141.324.6
9 .2
107.648.2
r469.569.321.7
116.4
Finance, insurance,
and real estate
HAT1979
148.0103.7
2 . 12.73 . 92 . 11.9
12.48 .8
152.83 .53 .61.2
88.86 .2
10.11.53 . 59 . 11.73 .8
90.92 . 2
67.11.41.7
32.911.4
108.243.6
56.53 .4
12.62 . 32 . 1
40.77 . 2
24.2,
16.7,9.35.9
18.56.21.8
(*)(*)<•)( • )(*)( • )(•)( • )(• )(• )<•)
21.110.7
601.515.5
3.821.9
APE.1980
149.8107.3
2 . 22 .64 . 02 . 12 . 0
12.69 .0
155*53 .73 .61.2
89.65.7
10.21.53 .69 .21.83 .8
95.02*3
69.61.51.8
33.111.5
108,144.0
56.73 .3
12.92 .32 . 1
42.07 .4
24.9
17.49 .86 . 1
19.46 .32 . 0
154.85.0
16.616.78 .07 .69 .8
64.58.96 .72 .0
21.811.3
610.315.6
4 .022.3
HAT1980P
150.4107.5
2 . 22 . 64 . 02.0(• )
12.79 .0
154.73.63 .61.2
89.55.7
10.21.53 .69 . 31.83.6
95.62 .4
69.71.51.8
33.111.5
108.943.8
56.63.4
12,82 .32 . 1
42.47 .4
25.2
17.49.86 . 1
<*)<•)(•)
155.35 . 1
16.516.98 .07*79 .9
64.48 .96 .62.0
22.011.2
612.215.74 . 1
22.4
1r
HAT1979
607.0413.6
9 .310.616.511.49 .4
44.433.0
631.520.811.5
6.7340.6
30.049.7
9 . 92J.225.710.014.0
357.313.1
228.418.0
8.7
117.627.6
379.2127.9
204.017.0
54.69 . 66 ,8
115.216.658.7
159.095.843.5
68.413.58.5
(•)(•)(•)(•)(•)(• )(•)(•)<•)(•)! • )
88.642.4
637.167.918.097.3*
1
Services
APE.1980
641.7430.9
9 . 511.116.611.59.4
45.433.7
641.521.211.7
6 .8346.8
30.351.8
9 . 422.427.210.314.7
367.312.9
236.518.4
9 .7
120.628.6
385.8129.0
204.117.6
55.910.36 .9
118.316.958.9
167.2101.944.7
65.513.88 . 8
586.930.366.376.231.240.340.0
191.031.842.9
8 . 5
91.344.2
,669.070.118.296.6
1
HAT1980P
644.6432.1
9 .611.116.611.6
( • )45.334.1
645,421.511.8
6 . 8348.5
30.652.1
9 . 722.627.010.514.8
371.313.1
238.318.3
9 . 6
121.128.7
389.9129.8
205.517.1
56.910.76 . 9
120.717.060.0
168.3102.145.1
( • )(* )( • )
595.730.966.976.730.640.940.4
192.032,143.3
8 .6
91.944.4
,678.670.718.399.7
1
HAT1979
419.7216.612.6
8.618.013.111.047*. 527.3
627.942.012.4
5 .3261.7
28.631.9
8 .819.269.410.311.9
303.113.3
159.26 . 2
11.5
194.934.0
346.293.4
143.211.6
71.27.66 . 1
129.928.939.8
54.924.615.4
57.88 ,25 .7
(*)(*)if)(• )(*)( • )(*)<•)( • )(*)( • )
122.641.8
,329.599.323.387*1
Government
> APB.1980
415.3217.5
12.68.4
18.713.111.247.227.4
641.447.012.5
5.0260.526.932.7
8.621.270.610.512.4
307.413.5
161.65.9
12.6
198.834.6
348.895.2
o. u142.211.8
71.68 .05*9
126.929.038.9
57.526.116.3
59.58.76 . 1
535.615.262.645.444.235.147.3
155.327.447.313.3
127.743.4
1,310.6100.124.388.5
1 ,
HAT1980P
412.4216.0
12.58 .3
18.312.8
( * )45.127.5
654.246.112.5
5 . 1266.726.833.0
8 . 919.672.C10.511.9
310.613.6
163.85.9
12.0
197.334.5
349.395.1
f. tyo. u142.512.0
72.78 . 06 . 0
129.229.639.3
57.826.216.3
( • )( * )<*)
537.815.562.945.645.435.347.8
155.827.447.213.4
129.244.4
341.2100.724.489.9
123456789
101112131415161718192021
2223242526
2728
2930313233
343536
373839
404142
434445
4647484950515253545556
5758
59606162
117
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 120: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/120.jpg)
ESTABLISHMENT DATASTATE AND AREA EMPLOYMENT
B-8. Employees on nonagricultural payrolls for States and selected areas by industry division-Continued
(In thousands)
State and araa
Total
MAY1979
APfi.1980
HAT1980P
HAY1979
APE.1980
HAY1980P
Construction
HAY1979
APfi*1980
HAY1980P
Manufacturing
HAY1979
APfi.1980
HAY1980P
NEW YORK-Contlnued
3839404142434445464748495051525354
5556
Monroe County .*Nassau—Suffolk ?New York-Northeastern New Jersey.New >ork-t^absau-ouffolk 5.New York SMSA.7....New York City •PoughkeepsieRochester.Rockland County *SyracuseUtlca—RomeWestchester County *
NORTH CAROLINA.AshevllleCharlotte—GastonlaGreensboro-Winston-Salem-Hight PtRaleigh—Durham
NORTH DAKOTAFargo—Moorhead.
OHIOAkronCanton . . .Cincinnati.Cleveland .Columbus.Dayton . . .ToledoYoungstown—Warren
OKLAHOMAOklahoma City.Tulsa
OREGONEugene—Springfield.Jackson CountyPortlandSalem
PENNSYLVANIAAllentown-Betrtlehem-Easton .Altoona.Delaware Valley?.Erie ,HarrisburgJohnstownLancasterNortheast Pennsylvania . . .Philadelphia SMSAPhiladelphia City .\°PittsburghReadingScranton }}Wilkes-Barre-Hazleton .1?.WilliamsportYork
RHODE ISLANDProvidence-Warwick-Pawtucket. .
SOUTH CAROLINACharleston-North Charleston . . . .ColumbiaGreenville—Spartanburg
61 SOUTH DAKOTA .62 Rapid City63 Sioux Falls
37.6336.4902.0
(*)4,620.23,718.23,276.1
97.2414.7
80.7265.1117.2349.1
2,370.870.7
325.2387.4257.8
244.462.6
4,523.4274.8162.3611.0922.8505.9365.8311.3215.5
1,085.2378.6284.8
1,048.9106.1
551.288.3
4,863.0262.752.9
1,602.6117.6220.0
92.1153.9247.8
1,931.1802.2966.8138.986.8
131.749.0
156.8
399.8409.8
1,162.2145.9177.3263.3
242.730.054.1
3 7 . 1334.6897.2
6,596.24,553.43,656.33,212.4
98.6411.2
81.4261.5116.0349-9
2,426.171.3
328.4393.5275.5
246.062.9
4,445.270.161.607.912.507.362.300.210.
1,128.6403.6290.5
1,041.4100.2
557.088.3
4,81626454
1,61111621689152242
1,9408079481398612645155
393.9403.9
1,202.0147.6181.0264.9
238.429.552.0
36.9335.8905.2
(*)4,640.63,735.33,287.7
98.9413.2
81.8260.4117.2353.0
2,420.871.4
328.6391.4272.2
250.763.1
4,429.9271.7161.8610.3909.3509.1361.2299.4207.6
1,133.4405.5292.1
1,032.6100.1
554.588.4
4,830.5265.2
54.31,612.5
116.4217.0
89.4151.8243.5
1,942.2805.1951.2138.186.5
126.945.8
155.2
392.3401.5
1,200.1147.7181.4264.3
243.331.052.4
(D(D(T)(•)1.6U41.1(D(D(1)(D(DO)
5.0CD
<n
5.1(2)
31.8(•)<*>(*)(*)(•)(*)(•)<•>
59.113.217.8
2.3(D-'CD(D
52.1(D(D(D(Dd)9.5O>1.20.)(D
11.5(1)
CDO)d)(D
1.9
2.7(2)(2)
(1)(D(1)3 .11.71*51.2(D(D(Dd)0)(D
5.1(1)(D(D(D
6.6(2)
30.6(*)<•)(•)(•)(*>(*)(•)<*>
65. 114.619.3
2. 1(t)
(t)(D
50.5(D(D(D(D(D8.8(1)1.2(D(D
10.9O)(D1.1(D(D
(Dd)
1.9(D(D(D
3.0<2)(2)
d)(D(D<*)1.71*51.2<1>CD(1)(1)0)(D
5.1(D(1)(D(D
6.9(2)
29.2(•)<*)(•)<•)(•)(•)(•)I*)
66.314.819.4
2.3(1)
(D(D
48.6(D(D(D0)o>8.3(t)1.2(D(1)
10.7(1)<D1.1(D(1)•CDCD
1.9(1)(1)CD
3.1(2)(2)
1.410.237.5
(*)126.288.770.02.8
12.72.6
11.43.2
15.3
128.93.5
17.817.215.2
17.84.2
187.09.66.7
28.234.221.614.112.36.9
60.220.116.8
51.85.5
27.55.0
209.89.82.8
62.72.98.93.68.1
14.077.318.750.2
5.42.69.61.77.1
13.113.3
72.211.08.6
16.2
12.52.73.0
1.28.3
33.0177.0117.084.068.3
2.49.92.17.92.5
12.8
123. 13.0
17.715.914.8
14.53.4
161.97.95.8
25.931.718.912.910.46.3
58.920.515.6
48.54.3
26.74.5
196.08.92.8
62.53.18.53.17.4
11.175.119.244.1
5.22*17.51.66.9
11.912.1
71.011.5
8.016.1
10.82.22.4
1.39.1
34.3(*)
121.387*070.1
2.511.22.28.4
-3.014.0
125.23.2
18.016.214.7
16.53.8
166.98.46.1
26.732.019.513.510.86.4
60.521.215.7
48.54.1
26.14.4
206.19.52.9
65.63.08.53.27.5
11.677.920.346.25.22.37.61.76.9
12*412.6
71.411.4
8.016.5
12.62.32.6
11.6134.6163.6
(•)781.0617.4524.6
31.9155.6
15.761.732.475.9
822.222.089.1
150.043.1
16.65.1
1,390.986.459.3
172.2278.6100.9109.890.479.8
181. S52.259.2
223.221.47.9
114.313.0
1,392.2109.6
13.0384.144.542.920.760. 174.6
455. 1146.0255.8
53.528.041.918.665.1
131.9147.4
400.719.827.4
107.6
26.53.07.4
11.5132.7165.4
1,348.6757.5592.1497.3
32.4153.7
16.059.031.877.6
822.222.088.9
152.244.0
15.54.7
1,300.781.057.3
165.3260.295.6
102.180.473.2
187.657.061.2
207.218.36.1
114.711.5
1,366.7111.5
13.4380*7
42.442.819.359.874.6
451.3144.1249.2
53.028.640.515.166.3
129.7144.3
396*518.527.9
106.6
25.83.07.2
11.3131.6164.3
(•)768.5604.2509.832.6
152.315.758.431.277.4
815.621.788.2
150.444.0
15.64.6
1,254.379.a356.6
162.1252.3
93.899.376.068.8
186.256.761.4
198.118.36.0
112.811.9
1,351.5110.8
13.3377.3
41.942.619.658.773.4
447.8142.9247.7
51.628.240.015.565.0
127.0141*3
393.318.328.1
105.7
25.63.37.2
See footnotes at end of table.
118
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 121: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/121.jpg)
ESTABLISHMENT DATA
STATE AND AREA EMPLOYMENT
B-8. Employees on nonagricuKural payrolls for States and selected areas by industry division-Continued
(In thousands)
Transportation and
public utilities
HAI1979
1.510.238.4
(* )316.6278.2255.4
2 . 713.0
3 . 515.1
4 . 118.6
114.23 . 6
30.621.312.9
16.04 . 0
231.615.4
34.446.025.113.321.510.2
65.323,021.6
59.15 . 3
35.22 . 7
275.414.17 . 9
87.25 . 5
17.06 . 06 . 6
13.5102.757.862.5
6 . 84 . 27 . 22 . 47 . 4
13.313.2
52.98 . 99 . 2
10.3
13.71.94 . 8
APE.1980
1.49 .6
37.3461.9316.9279.6256.6
2 . 812.2
3 .615.0
4 . 018.8
118.13.7
30.621.313.5
16.34 . 1
235.315.8
35.248.625.413.fc22.110.5
64.922.822.9
60.75 . 3
36.52 . 9
268.514.37 .2
84.15 . 5
16.76 . 26 . 7
13.398.955.260.9
6 .74 . 27 . 02 .37 .0
12.912.7
53.88 .99 .4
10.4
13.71.94 .9
HAI1980P
1.49 . 9
37.9(•)
320.1282.2259.0
2 . 812.4
3 . 615.2
4 . 019.0
118.13 .7
30.621.213.7
16.84 . 1
237.816.0
35.548.725.713.522.510.6
64.622.923.2
60.65 .3
36.42 . 8
266.414.47 .2
83.55.5
16.76 . 16 .7
13.598.454.960.2
6.64 . 37 . 02 . 36 .9
12.812.7
53.38 .99 . 5
10.2
13.71.94 . 8
Wholesale and retail trade
HAI1979
8 .161.0
235.7(*)
957.1721.4620.7
16.178.517.359.322.180.2
477.515.083.477.947.9
68.019.3
981.958.6Oil Q
139.3212.9119.976.268.947.0
255.794.770.4
253.226.1
140.419.0
996.350.511.3
333.624.045.116.833.752.3
420.9150.7207.227*720.127.1
9.832.8
80.781.9
222.231.2
. 38.050.3
67.49 . 1
16.5
APB.1980
7.960.7
234.21,362.1
915.4681.2579.8
16.278.017.358.922.080.7
493.315.084.778.352.8
68.919.3
974.458.7oc i3S.1
139.3212.0120.175.768.147.2
262.5101.470.5
256.825.3
142.619.3
977.050.412.3
333.125.042.716.633.650.1
418.6151.7202.526.919*525.5
9.831.1
78.179.7
229.031.737*85 U 2
66.39.1
15.4
HAI1980P
8 . 061.2
237.9(*)
949.4711.5609.1
16.278.817.659.422.781.5
495.715.184.678.552.6
70.219.1
980.159*0
140li213.7120.676.268*947.5
265.0101.870.8
255.425.0
141.919.3
985.050.612.4
333.825.243*016.833.650.4
419.6151.0203.826.819.526.6
9 . 831.5
78.079.5
230.031.637.95 U 0
67.39 . 5
15.4
and real esta
HAI1979
1.014.450.7
<•)497.6446.9426.5
2 .616.1
2 .415.5
5.717.5
92.82 . 1
20.417.814.9
11.03.7
198.29.3c c5. 5
32.047.435.413.210*5
6.9
53.523.814.3
68.75.4
43.85.7
234.78.51.5
108.54 .7
12.53 .95.29 . 6
124.369.345.1
5 .93*45 .32 . 13 . 9
20.720.7
46.56 . 3
13.49 . 1
10.81.43 . 3
APB.1980
1.014.751.0
613.9506.0455.0434.6
2,616.42 .4
15.85 .6
17.5
96.22 . 2
20.618.215.4
11.33 .9
203.69 .5
5. 832.548.337.513.410.87 . 1
54.724.514.5
70.65.4
44.55.7
238.98.61.5
110.14 .8
12.64 .05.49 . 5
126.769.844.8
6 .33 . 45 .32 . 14 . 0
20.320.3
48.46 .4
13.89 . 4
11.51.33 .4
te
HAI1980P
1.014.851.1
<*)506.4455.3434.7
2.616.5
2 .516.05.7
17.6
96.72 . 2
20.618.015.5
11.43 .9
204.29.45.8
32.848.537.813.510.97 . 1
55.224.814.6
70.35.4
44.35.6
241*78.71.5
110.54 .9
12.84 .05.49 .6
126.670.146.3
6.43 .55 .32 .14 .0
20.320.3
48.46.5
13.99 .5
11.71.33 .5
Services
HAI1979
6,965.4
197.0<(•)
1,156.1959.3855.3
17.577.417.552.020.384.0
330.613.248.355*954.8
47.713,7
813.550.028.8
119.7183.2100.269.559.337.9
182.367.153.9
184.119.1
106.614.7
961.540,3
8.9383.7
21.236.916.124.642.8
447,8212.1207.8
22.716.519^27.8
21.0
79.676.0
153.222.826*235.1
49.36 .2
12.2
APB*1980
7 .067.0
197*31,546.81,178.1
981.0876.1
17.878.818.254.020.684.2
351.113.449*6
* 58.059.6
49^714.3
839.051.630. 2
125.0188.2103.474.060.838.8
197.872.155.5
186.319.2
106.515.4
990.840.9
8.9398.521.337.216.324.742.8
465.1222.1206.423.316.819.28 . 0
21.3
80.477.3
160.924.726.736.4
48.16 .0
11.9
HAI1980P
7*067.1
199.3(• )
1,187.5988.5882*6
17.979.218.451.920.784.9
352.113.549.957-859.3
50.014.3
847.652.530. 4
127.5189. 2104.273.361.139.3
197.972.455.9
184.919.3
106.715.4
1,001.341.4
9 . 1397.8
21.337.516.324.443.6
464.9218.8206.7
23.616.919.58 . 0
21.5
81.177.5
163.024.726.936.5
50.16 . 5
12.0
HAI1979
7 . 140.6
179.1(*)
783.9604.9522.523.661.421.650.129.457.6
399.611.335.647.369.0
62.212.6
688.445.218.284.8
119.2102.269.348.026.4
227.284.530.8
206.523.3
83.428.2
741.029.9
7 . 5242.8
14.856.715.515.640. 1
303.0147.6126.7
16.911.820.3
6 . 619.5
60.557.3
232.645.954.534.7
59.85.76 . 9
APB.1980
7 . 141.5
179.11,082.8
760.9581.8498.5
24.562.321.850.929.458.4
416.912.036.349*675.4
63.213.2
699.845.718.984.1
121.7105.570.847.626.6
237.190.731.0
209.222.4
85.529.0
728.229.6
7 .9242.1
14.555.815.015.340.3
304.7145.7129.5
17.811.820.5
6.419.1
60.657.5
240.545.957.434.8
59.36.06 .8
HAI1980P
6 . 942.1
180*5(• )
785.6605.1521.324.562.921.951.129.858.6
412.312.036.749.372.4
63.313.3
709.946.319*185.3
123.2106.871.548.627.5
237.790.931.1
212.522.7
86.329.0
729.929.8
7 . 9244.0
14.655.915.115.540.2
307.0147.1129.617.911.820.4
6 . 419.4
60.757.6
238.846.357.134.9
59.26 . 26 . 9
123456789
10111213
1415161718
1920
212223242526272829
303132
3334353637
3839404142434445464748495051525354
5556
57585960
616263
119
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 122: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/122.jpg)
ESTABLISHMENT DATASTATE AND AREA EMPLOYMENT
B-8 Employees on nonagricultural payrolls for States and selected areas by Industry division-Continued
(In thousands)
Stats and area
Total
HAY1979
APB.1980
HAT1980P
HAT1979
APB.1980
HAT1980P
HAT1979
APR.1980
HAT1980P
Manufacturing
HAT1979
APE.1980
HAT1980P
345
6789
101112131415161718
1920
212223
242526272829303132
33343536
3738394041
42434445464748495051
525354
55
TENNESSEEChattanoogaKnoxvilleMemphisNashville—Davidson
TEXASAmarillo . ,AustinBeaumont-Port Arthur-Orange . . .Corpus Christ!Dallas—Fort WorthEl PasoGalveston—Texas CityHoustonLubbockSan AntonioWacoWichita Falls
UTAHSalt Lake City—Ogden
VERMONTBurlington \3.Springfield ! ? . . . .
VIRGINIABristolLynchburgNewport News—HamptonNorfolk-Virginia Beach-Portsmouth .Northern Virginia.1.4.Petersburg-Colonial Hghts.-HopewellRichmondRoanoke
WASHINGTONSeattle—EverettSpokaneTacoma
WEST VIRGINIACharlestonHuntington—AshlandParkersburg—MariettaWheeling
WISCONSINAppleton—OshkoshEau ClaireGreen BayJanesville—BeloitKenoshaLa CrosseMadisonMilwaukeeRacine
WYOMINGCasperCheyenne
VIRGIN ISLANDS
1,787.3174.3196.0360.9367.7
5,582.75.
231.146.122.
1,382.154.67.
1,358.87.
378.69,50.
546.4389.1
195.455.314.5
2,101.628.671.1
146.1286.5426.347.1
325.0104.9
1,579.5748.5128.2140.2
644.5117.5111.359.068.9
1,960.1128.449.177. 454.745.943.5
167.6676.571.4
200.337.728.7
36.5
1,787.1174.8193.9355.5364.8
5,758.976.0
237.5135.6123.1
1,437.8158.968.2
1,395.889*7
385.571.051.4
565.0402.7
196.756.414.3
2,108.128.772.2
150.1282.6426.148.1
325.6104.8
1,615.7783*0128.8139.8
633.4115.9108.657.765.8
1,973.5131.549.078.549.547.245.0
173.6684.570\6
211.842.828.0
37.2
1 , 7 8 9 . 71 7 5 . 01 9 3 . 73 5 7 . 33 6 2 . 6
5,762.275.7
237.0141.5122.7
1,439*9158.170.4
1,398*689.2
385.770.351.2
566.9404*5
197.456.414.5
2,118.228.572.5
151.3284.7429.147.9
326.1105.3
C*)C*)C*)C*)
635.9116.4109.057.466*2
,976.0131*347*979.248.640.245.3
174.9683.870.8
215.943.928.1
36.8
10.61.31.5.2
CD
195.5CD(D(D6.4
20.8(D(D
67.6(D2.0(D2.9
17.77.5
24*7(D<D(D(D. 4
(D. 4. 1
2.9(D(DCD
65.57.21.1.5
8.0
2.9(D(D(D(1)CDCD(DCDCD
31.97.3CD
(2)
9*81.31.6
• 2CD
215.5CDCD(D7.1
23.3<DCD
69.5CD2.2CD2.9
17.97.4
23.9CDCDCD<D. 4
(D.4.1
2.6CD(1)
59.06.71.3
• 56.2
2.3CDCDCDCDCDCDCDCDCD
35.79.3CD
(2)
9.91.31*6
• 2CD
217.8CMCD(1)6.9
23.7CD0)
71.4CD2.2CD2.9
17.97.4
.8
23.8(1)CD(1)CD• 4
CD.4
C*)<•)C*)<•)
60 .16.71.3
. 56.2
2.5CDCDCDC1)CDCDCDCDCD
36.39.4CD
(2)
92.37.4
TU715.621.3
417t45.1
13.212.115*778.3
8*65.2
143.54.7
25.33.52.8
35.324.1
10.4
139.• 1 .3.7.
17.31.2.
6.2
104.243.8
7.88.7
41.88.39.14*44.2
82.96.52.13.62.03.2
- 1.97.7
24.22.4
22.53.82.2
2.8
85.56.7
10.915.720.6
435.65.3
13.110.113.780*29.35.8
141.14.1
25.93.42.7
32.422.4
9.5
122.91.33.47.2
16.026.42.6
16.56.0
90*244.4
7.27 .1
36.37.57.83*93.4
70*56.21.63.21.82.22.07.5
21.41.9
21.85.02.2
3.1
85.06.6
10.916.020.7
433.05.2
13.310.213.580.19.25.6
140.34.1
25.73.52.7
33.123.2
10.1
125.11.43.67-1
15.727.12.7
16.56.3
C*)C*)C*)c*>
38.27*98.24.03.7
78.26.31.63.51.92.42.08.0
22.32.3
23.45.62.3
3.1
528.653.353.663.784.1
1,017.69.4
28.541.515.4
308*332.111.9
226.312.647.416.59.2
85.256.8
50.813.96.1
409.49.9
28.533.129.616.412.35S.420.9
306-9166.218.122.1
125.819.529.817.713.7
586.349.79.4
21.622.317.510.820.1
217.632.0
9.71.91.7
3.2
522.053.451.958.080.1
1,041.89.5
30.134.015.6
315.732.510*6
234.613.247.816.4S.3
90.460.8
51.614.66.3
412.2S.6
29.333.828.217.012.255.521.0
303.9173.817.521.4
120.217.828*516.812.5
569.148.98.8
20.716.519.210.920.0
213.430.8
10.62.11.9
3.2
516*753.451.758.979.4
1,042.69.4
30.139.415.7
315.032.512.3
236.013.048.015.99.0
90.860.9
50.914.66.2
408*89.4
29.333.729.516*911.754.821.0
C*)C*)enc*>
118.817.528.016.312*7
545.847.67.3
21.115.211.610.919.8
208.029*, 9
10.82.12.0
3.21 Combined with services.2 Combined with construction.3 Area included in Chicago-Gary Standard Consolidated Statistical Area.4 Subarea of Philadelphia, Pennsylvania Standard Metropolitan Statistical
Area: Burlington, Camden, and Gloucester Counties, New Jersey.5 Subarea of New York-Northeastern New Jersey.6 Subarea of Rochester Standard Metropolitan Statistical Area.
7 Area included in New York and Nassau-Suffolk combined SMSA's.' Subarea of New York Standard Metropolitan Statistical Area.' Subarea of Philadelphia, Pennsylvania Standard Metropolitan Statistical
Area: Bucks, Chester, Delaware, Montgomery, and Philadelphia Counties, Penn-sylvania.
10 Subarea of Philadelphia, Pennsylvania Standard Metropolitan StatisticalArea: Philadelphia County.
1 2 0
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 123: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/123.jpg)
ESTABLISHMENT DATASTATE AND AREA EMPLOYMENT
B-8. Employees on nonagricuKural payrolls for States and selected areas by industry division-Continued
(In thousands)
Transportation and
public utilities
HIT1979
87.57 . 28 . 1
27.522.1
349.47 . 07 . 0
11.66 . 8
88.810.8
6.397.2
5 . 117.3
3 . 22 . 4
33.827.0
9 . 02 . 4
. 7
112.61 .12 ; 74 . 9
19.427.3
1.519.5
9 . 9
86.449.2
8 . 06*6
43.59 . 79 . 92 .83 . 6
93.64 . 62 . 75 . 92 . 21.42 . 46 . 1
34.72. 1
16.32 . 84 . 3
2 . 1
AP*.1980
86.87 . 27 . 9
27.721.3
362.07 . 17 . 1
10.97-1
94.41ft 7Iv* f
7.0100.3
5 . 118.0
3 . 22 . 4
34.928.1
8 . 82 . 4
. 6
114.81.22 .75 .2
19.128.5
1*619*510.0
89.653.0
7 i 96 .3
42.810.09 . 92 .63 . 7
91.84 . 82 . 65 .82 . 01.32 . 56 . 3
34.32 . 1
16.92 .94 . 2
2 . 4
HAT1980P
86.57 . 27 .9
27.521.2
361.97 . 17 . 1
10.9•7/0
94.910 ftlv«O
7.1100.4
5 . 018.2
3 . 22 . 5
35.028.3
9 . 02.4
. 7
114.71.22 . 85 . 1
19.128.8
t . 619.710.0
<•)(*1(*J<*>
43.210.010.0
2 .63 . 7
92.04 . 92 . 66 . 22 . 01.42 .56 .4
34.12 . 1
17.02 .93 .9
2 . 3
wvnoieseie eoo i i n i i ireoe
HAT1979
3&8«833.841.2
- 96.684.2
1,369.622.548.132.028.0
364.438.412.6
331.725.295.616.0t2.2
128.996<0
40.512.12 . 2
440.26.7
12.327.769.499.2
8.474.326.2
379.2178.536.033.2
130.627.724.012.716.0
442.426.613.019.511.9
8.511.435. 1
147.813.3
44.410.5
6 .9
7 .2
APB.1980
382.632.440.395*078.7
1,385.922.248.530.228.2
386-239.513.0
331.625.695.117.312*7
130.397.9
40.712.4
2 .1
437.36.6
11*828.268.096.7
8.372.425.7
393.0185.436*132.9
132.027.623.<612.515.9
459.828.013.620.612.0
8.511.935.6
152.413.3
46.011.3
7.2
7 .6
HAT1980P
384.932.440.395.378.1
1,387.122.148.530*228.1
386.4
13.2329.4
25.494.517.112*. 6
130.498^4
40.912.52 . 2
442.36. 6
11.728.367.997.5
8.372.425.8
( • )( • )(*)( • )
132.027.623.812.515.8
470.228.413.820.412.38 .7
12.135.8
154.313.5
46.111.27 . 2
7 .5
end reel erta
HIT1979
77*69 . 97 .9
19.623.8
312.73.8
13.25.35 . 2
100.7
4 .380.6
4 . 724.7
4 . 12 .3
25.921.2
7 .7-
102.61.03 .45.0
14.627.1
1.326.1
6 . 1
86.852.7
7 .97 . 1
21.25 .04.02 . t2 .6
89.55 .01.62 . 41.31.01.1
11.837.7
2 .3
7 .01.51.5
1.4
APB.1980
77.19 . 98 . 0
14.624.4
326.43*7
13.75.25*5
106.0
4 .484*2
4 . 825.2
4 . 32« 3
27.122.1
8 .0- :-
104.6i.o3 . 55 .0
14*726.8
1.326.9
6 .2
9<T.O54.6
7 .87 . 2
21.75 .13 .92 . 12 .6
94.15.31*62 .41.41.01 .1
12.839.3
2 . 4
7 .51.61.5
1.4
Ae
HAT1980P
77. 69 .98.0
19.724.3
328.23 .8
13.75.25 .3
106.5
4 .485; 0
4 . 825.4
4.32 .3
27.122.2
8*0--
105.2no3.55 .1
14.626.9
1.326.96 .2
(•)(•)(•)(•>
21.65 .13 .82 .22 .6
94.55.31.62 .51.41.01. 1
12.939.2
2.4
7.51.61.5
1.4
Services
HAT1979
286.228v430.171.569.6
956.814.640.124.719.3
242.$O l l C24. 911.0
257.816.472.514.4
7 i 6
94.066.4
40.211.42 .5
377.83 . 5
10.527.253.9
107.45.8
57.319.7
288-6140.727.929.6
95.320.315:69 . 0
12.9
351.220.0
9 .514.1
8 .47 .89.'3
30.4136.511.1
27.84 .94 . 2
6 . 0
APB.1980
296.828.730.271.674.4
998.014.841.224.119.9
254.62o.211.4
271.516.975.314.7
7 .7
102.771.7
40.011.32 .5
382.53 .8
11.128.053.7
111.56 . 1
59.219 .̂7
307.1150.328.630.7
97.120.315.79 . 2
13.2
368.020.9
9 . 714.3
8.78 .39 . 9
32.6145.011.4
30.55 .33 .6
6 .0
HAT1980P
303.428.830.372.774.2
996.014.841.224.220.3
255.9
1 K 6272*7
17.075.514.6
7 . 8
101.571.2
41.011.7
2 . 5
386.03 . 6
11.128.854.5
111.76 . 2
69.119.8
(*)( • )(*)
97.020.415.99 . 1
13.3
373.221.1
9 . 814.48 . 88 . 59 . 9
33.0146.511.4
31.45 . 53 .7
5 . 8
HAT1979
315.733.041.966.262.6
963.713.381.619.325.9
178. 332.615.8
153.418.993.611.611.1
125.590.0
36. 1-
495.25.0
10.240.881.8
117.415.572.615.8
322.5117.422.532.9
120.919.817.79 . 97 . 9
311.316.110.810.2
6 .56 .56 .6
56.478.2
8 . 2
40.75 . 07 . 9
13.8
( j OV6TMH6n t
APB.1980
326.335.243.167.765.3
993.713.483.821.126.0
177.433.416.0
163.020.096.011.711.4
129.592.3
37.4
-
509.95 .2
10.442.782.9
f18.816.075.416.1
335.3121.5
23.734.2
124.221.017.810.2
8.2
318.017.411.1 i11.47 .26.76 .9
58.978.7
8.8
42.85 .37.4
13.5
HAT1980S
325.735.443.067.064^7
995.613.383.121.425.9
177.4•in O32.916.2
163.419.996.211.711.4
131.192.9
36.7
- •
512.35 . 3
10.543.283.4
119.816.175.316.1
(* )(*)<*)
125.121.218.010.2
8.3
319.617.711.111.1
7 .06 .66 . 7
59.079.4
9 . 1
43.45 .67 . 5
13.5
12345
6789
101119\C131415161718
1920
212223
242526272829303132
33343536
3738394041
42434445464748495051
525354
55
Lackawanna County.12 Subarea of Northeast Pennsylvania Standard Metropolitan Statistical Area:
Luzerne County.13 Total includes data for industry divisions not shown separately.14 Subarea of Washington, D.C. Standard Metropolitan Statistical Area: Alex-
_ . . , . . . _ , . M.IIM^., . M.IW VMUIVII, ITICIIiao<?a«?, emu maiiaooao raift ollloo,
ington, Fairfax, Loudoun, and Prince William Counties, Virginia.p = preliminary.* Not available.
SOURCE: Cooperating State agencies listed on inside back cover.
121
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 124: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/124.jpg)
C-1. Gross hours and earnings of production or nonsupervisory workers'
on private nonegricuHural payrolls by industry division, 1969 to date
ESTABLISHMENT DATAHISTORICAL HOURS AND EARNINGS
Year andmonth
Average
Weeklyearnings
Weeklyhours
Hourlyearnings
Total private1
earningsWeeklyhours
Hourlyearnings
Mining
Weekly Weeklyhours
Hourly Weeklyearnings
Weeklyhours
HourlyHourly
earnings excl.overtime
Manufacturing
1959.2
19601961.1962196319641965196619671968196919701971197219731974197519761977197819 791979s
J U N . .JULAOGSEPT.OCTHOVDEC
1980:JAir .PEBMARAPEHAYP'JUW.P
$ 76.788C.6782.6085.9188.4691.3395.4598.82
101.84107.73114.€1119.83127.31136.90145.39154.76163.53175.45189.CO203.70219.30
219.35221.76222. 48225.54225.27225.70229.04
225.34226.75229.15228.55229.60233. 33
39.038.638.638.738.838.738.838.638.037.837.737.136.937.036.936.536.136.136.035.835.6
35.936.036.035.835.735.635.9
35.135.135.235.035.035.3
$2.022.092.142.222.282.362.462.562.682.853.043.233.453.703.944.244.534.865.255.696.16
6.116.166.186.306.316.346.38
6.426.466,516.536.566,. 61
$103.68105.04106.92110.70114.40117.74123.52130.24135.89142.71154.80164.40172.14189. 14201.40219. 14249.31273.90301.20332.88365.50
367.20356.12366.35372.81375.38380.63384.13
385.393 84*48388.43389.48386.38392.73
40.540.440.541.041.641.942.342.742.642.643.042.742.442.642.441.941.942.443.443.443.0
43.241.743.143.443.743.643.9
43.443.243.442.842.643.3
$2.562.602.642.702.752.812.923.053. 193.353.603.854.064.444.755.235.956.466.947.678.50
8.508.548.508.598.598.738.75
8.888.908.959.109.079.07
$108.41112.67118.08122.47127.19132.06138.38146.26154.95164.49181.54195.45211.67221.19235.89249.25266.082 83-73295.65318.69342.99
347.32350.03355.85361.76358.15348.43356.38
335.00343.08350.42355.62360.1437 0.06
37.036.736.937.037.337.237.437.637.737.337.937.337.236.536.836.636.436.836.536.837.0
38.037.838.138.037.736.637.2
35.335.736.236.736.937.8
$2.933.073.203.313.41.3.553.703.894.114.414.795.245.696.066.416.817.317.718.108.669.27
9.149.269.349.529.509.529.58
9.499.619.689.699.769.79
$ 88.2689.7292.3496.5699.23
102.97107.53112.19114.49122.51129.51133.33142.44154.71166.46176.80190.79209.32228.90249.27268.94
269.47268.13268.00274.04274.16276.86285.07
277.01278.60280.99279.35280.21282.89
40.339.739.840.440.540.741.241.440.640.740.639.839.940.540.740.039.540. 140.340.440.2
40.439.940.040.340.240.340.9
39.839.839.839.439.339.4
$2.192.262.322.392.452.532.612.712.823.013.193.353.573.824.094.424.835.225.686. 176.69
6.676.726.706.806.826.876-97
6.967.007.067.097.137.18
i 2. 122.192.252.312.372.432.502.592.712.883.053.233.453.663.914.254.675.055.445.916.43
6.406.466.436.516.546.596.69
6.716.756.816.856.916.96
Transportation andpublic utilities
Wholesale andretail trade
Finance, insurance, andreal estate Services
1959 . 2
19601 9 6 1 .1962196319641965196619671968196919701971197219731974197519761977197819791979s
JUflJDLA U G . . . . .S E P T . . . .OCT»0VD E C . . . . .
1980sJ A N . . . * .PEBM A P . . . . .APSHATP . -* .JON.P ...
$118.78125. 14128.13130.82138.85147.74155.53168.82187.86203.31217.48233.44256.71278.90302.80325,98
321.60327.60334.89336.76337.20342. 10341.60
337.73338.05340.49344.05342.30348.65
41.141.341.240.540.640.740.540. 140.440.540.239.739.839.940.039.9
40.140.040.339.940.040.240.0
39.539.439.539.539.339.8
$2.893.033.113.233.423.633.854.214.655.025.415.886.456.997.578.17
8.028.198.318.448.438,518.. 54
8-558.588.628.718.718.76
$ 64.4166.0167.4169.9172.0174.6676.9179.3982.3587.0091.3996.02
101.09106.45111.76119.02126.45133.79142.52153.64164.96
165.49168.17167.99167.24166.86167.83170.42
170.35170.98172.80171.72172.90175.17
38.838.638.338.238. 137.937.737.136.636.135.735.335. 134.934.634.233.933.733.332.932.6
32.933.333.232.632.432.432.9
31.931.932.031.831.932.2
$1.661.711.761.831.891.972.042.142.252.412.562.722.883.053.233.483.733.974.284.675.06
5.035.055.065.135.155. 185.18
5.345.365.405.405.425.44
I 72.7475. 1477.1280.9484.3885.7988.9192.1395.72
101.75108.70112.67117.85122.98129-20137.61148.19155.43165.26178.00190.77
188.08191.14190.61193.86193.67196.38199.47
200.19203.2820 6.18205.62205.41210.76
37.337.236.937.337.537.337.237.337.137.037. 136.736.636.636.636.536.536.436.436.436.2
36.136.236.136.136.236.336.4
36.236.336.336.236.136.4
$1.952.022.092.172.252.302.392.472.582.752.933.073.223.363.533.774.064.274.544.895.27
5.215.285.285.375.355.415.48
5.535.605.685.685.695.79
$ 7C.0373.6077.0480.3883.9790.5796.66
103.06110.85117.29126.00134.67143.52153.45163.67175.27
173.71176.16176.29178.22178.65180.93184.01
183.63185.25186.88186.30187.02190.64
36.135.935.535. 134.734.734.433.933.933.833.633.533.333.032.832.7
32.933.333.232.732.632.632.8
32.532.532.532.432.332.7
$1.942.052.172.292.422.612.813.043.273.473.754.024.314.654.995.36
5.285.295.315.455.485.555.61
5.655.705.755.755.795.83
1 For coverage of series, see footnote 1, table B 2.
2Data include Alaska and Hawaii beginning 1959.
p - preliminary.
NOTE: In accordance with usual practice, BLS has revised establishment survey datato reflect a new benchmark and updated seasonal adjustment factors. Because ofthese revisions, data beginning in 1978 may differ from data published earlier. See arti-cle in this issue for additional information.
123
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 125: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/125.jpg)
ESTABLISHMENT DATAHOURS AND EARNINGS
C-2. Gross hours and earnings of production or nonsupervtsory workers1 on private nonagricurtural payrollsby industry
1972SIC
Code
Industry
Avtragi weekly earnings
Bay1979
June1979
Apr.1980
Ha198 1980
Avtrtft houny tw ntnQi
Hay1979
June1979
Apr.1980
y1980
p1980
10101102
11, 1212
13131.2
138
14142
15152153154
16161162
17171172173174175176
24. 25,32-39
20-23,26-3
242412422421242624324312434243524362442452451249
252512511251225142515252253254259
TOTAL PRIVATE
MINING
METAL MININGIron oresCopper ores
COAL MININGBITUMINOUS COAL AND LIGNITE MINING . . .
OIL AND GAS EXTRACTIONCrude petroleum, natural gas, and
natural gas liquidsOil and gas field services
NONMETALLIC MINERALS. EXCEPT FUELS . . .
Crushed and broken stone
CONSTRUCTION
GENERAL BUILDING CONTRACTORS
Residential building constructionOperative buildersNonresidential building construction
HEAVY CONSTRUCTION CONTRACTORS . . . .Highway and street constructionHeavy construction, except highway
SPECIAL TRADE CONTRACTORSPlumbing, heating, air conditioningPainting, paper hanging, decoratingElectrical workMasonry, stonework, and plasteringCarpentering and flooringRoofing and sheet metal work
MANUFACTURING
DURABLE GOODS
NONDURABLE GOODS
DURABLE GOODS
LUMBER AND WOOD PRODUCTS
Logging camps and logging contractorsSawmills and planing mills
Sawmills and planing mills, generalHardwood dimension and flooring
Millwork, plywood, and structural members . . . .MillworkWood kitchen cabinetsHardwood veneer and plywoodSoftwood veneer and plywood
Wooden containersWood buildings and mob i * homes
Mobile homesMiscellaneous wood products
FURNITURE AND FIXTURESHousehold furniture
Wood household furnitureUpholstered household furnitureMetal household furniture
. Mattresses and bedspringsOffice furniturePublic building and related furniturePartitions and fixturesMiscellaneous furniture and fixtures
$215.84
361.24
366.02395.85379.39
426.62427.85
331.14
358. 44320.29
310.52306. 54
341. 30
307.66295.71261.45326.89
346.58341.e2349*97
358*06375.12326.03410.34333.64310.42289.82
265.66
2 68.86
231.47
236. 023C3.42253.97267.90170.21230.69220.CO206.66186.05299.11169.02213.36211.84193.91
190.73178.60169.94187.00184.73195.78211.07213.64230.95203. 84
$219.35
367.20
377.24403.18395.28
427.41429.68
339.46
360*71330.86
320.16313.22
347.32
310.98297.02267.12331.03
363.36372.22358.28
360.88376.20313.79419.39333.64311.70300.32
269.47
291.92
234.04
247.23336.20265.74280.84173.32235.22221.87209.88185.54310.02173.11216.21214.30201.14
196.33182.78170.61190.89194.33201.63213.20223.02241.30217.23
$228.55
369.48
413.00423.72434.09
433.40434.56
376.20
400.89367.16
318.42314.75
355.62
324.54302.02293.58345.80
353.36331.283(2.50
371.96389.41328.79434.32345.78312.13278.07
279.35
301.64
246.13
222.99319.58234.24245.28175.18228.04231.63214.10187.18265.52179.82208.552OS.97206. 59
204.28190.01178.78199.82198.53207.92226.78227.15251.14224.55
$229.60
386.38
409.86442.90435.12
424.71424.79
376.26
392.90370.27
322.20312.se
360.14
330.33313.85292.50347.03
360.10343.60368.12
374. 80394.20333.12436.59356.73314.30286.37
280.21
300.96
249.10
240.26332.13244.94257.72173.63233.62238.5 0208.66187.60285.24180.32211.32208.89204.61
202.17184.97171.39194.58202.75201.85228*73220.34255.64232.10
$233.33
292.73
370.06
282.89
304.50
250.65
249.56
204.20
$6.08
8.46
9.069.479.12
10.3810.41
7*63
8.7C7.23
6.786.55
9.15
8.578.267.479.03
8.608.108.86
9.739.829.21
10.779.568.928.60
6.63
7.08
5.92
5.967.806.246.554.295.875.675.414.717.314.395.605.564.86
4.984.704.385.004.905.325.295.406.035.35
$6.11
- 8.50
9.099.429.15
10.4510.48
7.68
8. 657.3(2
6.906.65
9.14
8.528. 167.429.02
8.598.298.76
9.789.908.94
10.959.568.838.63
6.67
7.12
5.94
6.158.226.456.804.295.945.665.484.657.584.455.665.614.93
5.064.764.425.054.975.225.335.406.145.57
$6.539.10
10.0010.3610.46
11.0011.03
8.36
9.667.93
7.327.01
9.69
9.04€.588.119.50
8.798.209.04
10.3910.449.53
11.4910.209.10
8*97
7.09
7.56
6.36
6.28e.416.406.724.616.186.215.744.907.634.866.015.975.23
5.395.044.685.435.175.655.805.906.546.02
$6.56
9.07
10. 1210.9910.36
10.8910.92
8.38
9.637.98
7.397.04
9.76
9.108.677. 579.56
8.988.599.18
10.4410.549.60
11*5510.379.19
9.12
7.13
7.60
6.42
6.398.566.486.804.686.286.365.784.867.734.906.096.095.26
5.425.044.675.395.285.675.885.866.646.06
$6.61
9.07
9.79
7. 18
7.67
6.46
6.55
5.46
See footnotes at end of table.
124
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 126: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/126.jpg)
ESTABLISHMENT DATAHOURS AND EARNINGS
C-2. Gross hours and earnings of production or nonsupervisory workers1 on private nonagricultural payrollsby Industry—Continued
1972
SIC
Cod.
Average weekly hours
Hay1979
35,5
U2.7
40.441.841.6
41.141.1
43.4
41.244.3
45.846.8
37.3
35.935.835.036.2
40.342.239.5
36.838.235.438.134.934.833.7
40.1
40.8
39.1
39.638.940.740.939.739.338.838.239.541.038.538.138.139.9
38.338.038.837.437.736.839.939.638.338.1
June1979
35.9
43.2
41.542.843.2
40.941.0
44.2
41.745.2
46.447.1
38.0
36.536.436.036.7
42.344.940.9
36.938.035.138.334.935.334.8
40.4
41.0
39.4
40.240.941.241.340.439.639.238.339.940.938.93d.238.240.8
38.838.438.637.839.137.940.041.339.339.0
Apr.1980
35 4 0
42.8
41.340.941.5
39.439.4
45.6
41.546.3
43.544.9
36.7
35.935.236.236.4
40.240.440.1
35.837.334.537.833.934.331.0
39.4
39.9
38,7
37.138.036.636.538.036.937.337.338.234.837.034.734.539.5
37.937.738.236.838.436.839.138.538.437.3
way P
1980 v
35.0
42.6
40.540.342.0
39.038.9
44.9
40.8. 46.4
43.644.4
36.9
36.336.236.736.3
4 0.140.040.1
35.937.434.737.834.434.231.4
39.3
39.6
38.8
37.638.837.837.937.137.237.536.138.636.936.834.734.338.9
37.336.736.736.138.435.638.937.638.538.3
June1980 P
35.3
43.3
-
-
-
-
-
37.R
--
-
--
39.4
39.7
38.8
38..1
-—_--——-_---
37*4_ •
-
-
—
-
—
-
-
-
Average overtime hours
Hay1979
-
-
-
-
-
-
-
-
-
-
3 . 3
3 . 6
2 . 9
3 . 44 . 34 . 24 . 43 . 23 . 01 .72 . 53 . 64 . 82 . 92 . 01 .73.2
1.91 .92 . 31 .31 .72 . 22.21 .82 . 01 .5
June1979
-
-
-
-
-
-
-
-
-
3 . 4
3 . 6
3 . 0
3 . 64 . 74 . 44 . 73 . 42 . 91.82 . 33 . 64 . 43.02.11 , 83 . 4
2 , 22 . 12 , 41 .42 , 02*82,32.02*72 . 3
Apr.1980
-
-
-
—
-
-
-
—
-
2 . 7
2 . 7
2 . 7
2 . 33 . 22 . 72 . 92 . 21.81.41.62 . 62 . 32 . 01.0. 8
2 . 6
1.71.72.01.11.71 .91 .72 . 12 . 1
. 8
1980 v
-
—
-
-
-
—
-
-
-
-
-
-
2 . 5
2 . 4
2 . 6
2 . 33 . 52.72.92.01.71.21.22.32.51.9
. 9. 7
2.2
1.41.2. 4. 9. 6. 3. 7. 7
1 .9. 9
June D1980
-
-
-
-
-
-
-
-
-
2 . 4
2 . 4
2 . 5
-
—
—
10
101
102
11,12
12
13
131.2
14
142
15
152
153
154
16
161
162
17
171
172
173
174
175
176
24. 25.
32-39
20-23.
26-31
24
241
242
2421
2426
243
2431
2434
2435
2436
244
245
2451
249
25
251
2511
2512
2514
2515
252
263
254
269
TOTAL PRIVATE
MINING
METAL MININGIron oresCopper ores
COAL MININGBITUMINOUS COAL AND LIGNITE MINING .
OIL AND GAS EXTRACTIONCrude petroleum, natural gas, and natural
gas liquidsOil and gas field services
NONMETALLIC MINERALS. EXCEPT FUELS
Crushed and broken stone
CONSTRUCTION
GENERAL BUILDING CONTRACTORS
Residential building constructionOperative buildersNonresidential building construction
HEAVY CONSTRUCTION CONTRACTORS . .Highway and street constructionHeavy construction, except highway
SPECIAL TRADE CONTRACTORSPlumbing, heating, air conditioningPainting, paper hanging, decoratingElectrical workMasonry, stonework, and plasteringCarpentering and flooringRoofing and sheet metal work
MANUFACTURING
DURABLE GOODS
NONDURABLE GOODS
DURABLE GOODS
LUMBER AND WOOD PRODUCTSLogging camps and logging contractorsSawmills and planing mills
Sawmills and planing mills, generalHardwood dimension and flooring
Millwork, plywood, and structural members .MillworkWood kitchen cabinetsHardwood veneer and plywoodSoftwood veneer and plywood
Wooden containersWOOQ buildings sno cnooiltt norn©$ • • . .
Mobile homesMiscellaneous wood products
FURNITURE AND FIXTURESHousehold furniture
Wood household furnitureUpholstered household furnitureMetal household furnitureMattresses and bedsprings
Office furniturePublic building and related furniturePartitions and fixturesMiscellaneous furniture and fixtures
Ste footnotes at end of table.
125
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 127: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/127.jpg)
ESTABLISHMENT DATAHOURS AND EARNINGS
C-2. Gross hours and earnings of production or nonsupervisory workers1 on private nonagricuttural payrollsby industry—Continued
1972SIC
Code
Industry
Average weekly earnings
Hay1979
June1979
Apr.1980
Hay1980 P
June1980 P
Average hourly earnings
Hay1979
Jane1979
Apr.1980
Hay1980P
June1980P
3232132232213229323324325326327327132723273329
32913292
333313312331733233213322332533333343353351335333573363361
3434134113423423.534293433432343334434413442344334443446345345134523463462346534693473471347934834833493494
3496
35351351135193523523353
STONE, CLAY, AND GLASS PRODUCTSFlat glassGlass and glassware, pressed or blown
Glass containersPressed and blown glass, nee
Products of purchased glassCement, hydraulicStructural clay productsPottery and related productsConcrete, gypsum, and plaster products
Concrete block and brickConcrete products, nee . . •.Ready-mixed concrete
Misc. nonmetallic mineral productsAbrasive productsAsbestos products
PRIMARY METAL INDUSTRIESBlast furnace and basic steel products
Blast furnaces and steel millsSteel pipe and tubes
Iron and steel foundriesGray iron foundriesMalleable iron foundriesSteel foundries, nee
Primary nonferrous metalsPrimary aluminum
Nonferrous rolling and drawingCopper rolling and drawingAluminum sheet, plate, and foil '.Nonferrous wire drawing and insulating
Nonferrous foundries
Aluminum foundries
FABRICATED METAL PRODUCTSMetal cans and shipping containers
Metal cansCutlery, hand tools, and hardware
Hand and edge tools, and hand saws and bladesHardware, nee
Plumbing and heating, except electricPlumbing fittings and brass goodsHeating equipment, except electric
Fabricated structural metal productsFabricated structural metalMetal doors, sash, and trimFabricated plate work (boiler shops)Sheet metal workArchitectural metal work
Screw machine products, bolts, etcScrew machine productsBolts, nuts, rivets, and washers
Metal forgings and stampingsIron and steel forgingsAutomotive stampingsMetal stampings, nee
Metal services, neePlating and polishingMetal coating and allied services
Ordnance and accessories, neeAmmunition, exc. for small arms, nee
Misc. fabricated metal productsValves and pipe fittingsMisc. fabricated wire products
MACHINERY, EXCEPT ELECTRICALEngines and turbines
Turbines and turbine generator setsInternal combustion engines, nee
Farm and garden machineryFarm machinery and equipment
Construction and related machinery
$28U.372.289.3 07.265.246.4C8.228.216.2S6.282.253.329.279.266.284.
365. 56421.48433.78332.93316.93323.93327. 623 05.76382.05401.02331.78309.60417.53306.71270.542 61.88
275,67381.93393.74260.80251.91270. e6232.07234.52219.e22 58.95281.80206.98282.61260.83240.86273.92251.64295.99324.773241*23399.53243.19219.89212.402 37.86266.09244.092 59.90276.30228.97
301. 18353.12315.50363.96332.17347,23322.40
$288.
379,
289,
307,
266,
246.
414,
232,
219,
303,
281,
258,
340,
287,
271,
296.
370.66
426.82
438.84
342.77
323.38
327.59
346.49
314.49
390.40
415.95
332.71
315.23
408.11
306.50
273.10
284.90
280.03
398,27
410.32
261.05
257.70
267.92
241.59
238.88
230.30
262.76
285.25
207.77
288.46
264.27
240.01
274,34
250.38
298.41
328*41
336.34
399.65
246.19
223.58
215.61
241.34
268.37
244.20
264.50
279,45
235.18
307.55
362.25
314.72
375.30
345.59
36 1, 23
330.68
$296.54
383.88
313. 24
330.50
290. 48*
246.27
427.91
242.80
237.84
298.70
273.37
266.67
325.99
295,80
2e4.89
304.14
386.
445.
463.
338.
320.
315,
336.
331.
433,
453.
356,
312,
443.
329.
285,
294,
2S2.25414.79431.74273,04266.262 80.47252,59256.41239.65281.47300.77219.62317. 29276,97253.24281.26256,63305.29331.57368.52398.73258.40237.37229.25253.78299,22268,94276,98295.08239*77
320.21360*55349,663P.9.42340.66354.28343.07
$302.06368.28325.18353.08289,04245.12439.10242.53236.23305.53277.49275.88333.74298.00292.00295.80
377.67431.64446.53341.64312.39304.42325.84327.64435.54460.90350,99304.13443*94318,16281.64286.04
292.07430.95451.92268.27262.29275.80252.01244.22250.652 86.88306.27228.33319.35278.31265.20276.21254.70297.11322.65346.50391.04257.80236.81230.49249.89296.33269.96277.31299.88239.68
322,32362.29347.84366,11368,55383.76337.60
$308.32
379.42
295.94
323.95
$6.788.587.137*496.636.159.595.51S.556.766.216.047.416.716.526.89
8.8310.2310.588.167.737.928.177.359.149.717.777.159.717.326.686.96
6.798,709,016,526.226.845.895.725.806.496,895.287.036,576,166,436.026.827.968.519.495.995.475.315.836.576.346.376,695.71
7.248.557.798.777.898.177.75
$6.868.657.157.496.686.249.705.585.626.846.246.057,556.84$.627.02
8*9110.2610.608.227.837*998.417.479.43
10.227.817,239,587.356.717.00
6.838.899.206.516.276.805.985.775,896.526.895.267.076.646.176.445,996.868.018.589.635.995.485.355.766.616.316.426.755.75
7.348,757,799.008.178.447.93
$7.349.257.938,547.196.38
10.146.076.137.256.546.527.997.257.147.40
9.5311.0611.488.668.068.108.677.97
10.3010.90
6.527.63
10.477.887.177.35
7.279.479.796*936.697.216.466.306.297.097.395.817.727.126.516.866.297.418.319.19
10.126.465.895.766.137.216.696.897.256.07
7.819.498.579.768,378.628,45
$7,449.237.978.577.196.40
10.536.146.127.386-566.608.167.347.307.25
9.6111.2711.728.768.017.998.628.05
10.3711.008.547.68
10.527.767. 137.26
7.329.75
10.116,956.767.226.586.416.467.197.475.907.777.216.686.826.327.308.219.009.956.515.955.856.177.216.806.957.356.13
7.909.418.619.669.109.368.44
$7.52
9.63
7.38
7.94
See footnotes at end of table.
126
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 128: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/128.jpg)
ESTABLISHMENT DATAHOURS AND EARNINGS
C-2. Gross hours and earnings of production or nonsupervisory workers1 on private nonagricultural payrollsby industry—Continued
1972SIC
Code
Industry
Average weekly hours
Hay1979
June1979
Apr.1980
May1980P
June
Average overtime hours
May1979
June1979
Apr.1980
May19 80^
June1980 H
32
321
322
3221
3229
323
324
325
326
327
3271
3272
3273
329
3291
3292
33
331
3312
3317
332
3321
3322
3325
333
3334
335
3351
3353
3357
336
3361
34
341
3411
342
3423.5
3429
343
3432
3433
344
3441
3442
3443
3444
3446
345
3451
3452
346
3462
3465
3469
347
3471
3479
348
3483
349
3494
3496
35
351
3511
3519
352
3523
353
STONE, CLAY, AND GLASS PRODUCTSFlat glassGlass and glassware, pressed or blown
Glass containersPressed and blown glass, nee
Products of purchased glassCement, hydraulicStructural clay productsPottery and related productsConcrete, gypsum, and plaster products
Concrete block and brickConcrete products, neeReady-mixed concrete
Misc. nonmetallic mineral productsAbrasive productsAsbestos products
PRIMARY METAL INDUSTRIESBlast furnace and basic steel products
Blast furnaces and steel millsSteel pipe and tubes
Iron and steel foundriesGray iron foundriesMalleable iron foundriesSteel foundries, nee
Primary nonferrous metalsPrimary aluminum
Nonferrous rolling and drawingCopper rolling and drawingAluminum sheet, plate and foilNonferrous wire drawing and insulating
Nonferrous foundriesAluminum foundries
FABRICATED METAL PRODUCTSMetal cans and shipping containers
Metal cans ,Cutlery, hand tools, and hardware
Hand and edge tools, and hand saws and bladesHardware, nee
Plumbing and heating, except electricPlumbing fittings and brass goodsHeating equipment, except electric
Fabricated structural metal productsFabricated structural metalMetal doors, sash, and trimFabricated plate work (boiler shops)Sheet metal workArchitectural metal work
Screw machine products, bolts, etcScrew machine productsBolts, nuts, rivets, and washers
Metal forgings and stampingsIron and steel forgingsAutomotive stampingsMetal stampings, nee ,
Metal services, neePlating and polishingMetal coating and allied services
Ordnance and accessories, nee ,Ammunition, exc. for small arms, nee
Misc. fabricated metal productsValves and pipe fittingsMisc. fabricated wire products
MACHINERY, EXCEPT ELECTRICALEngines and turbines
Turbines and turbine generator setsInternal combustion engines, nee
Farm and garden machineryFarm machinery and equipment
Construction and related machinery
41.943.440.641.040.140.042.641.539.043.845.542.044.441 .740.841 .3
41.441.241.040.841.040.940.141.641.841.342.743.343.041.940.540.5
40.643/943.740.040.539.639.441.037.939.940.939.240.239.739.142.641.843.440.838.142.140.640.240.040.840.538.540.841.340.1
41.641.340.541.54*2.142.5*1.6
42.143.940.541.039.939*542.741.739.044.3
. 45.142.745,142.041.042.3
41,641.641.441.741.341.041.242.141.440.742.643.642.641.740.740.7
41.044.844.640. 141.139.440.441.439.140. 341,439.540.839.838.942.641.843.541.039.241.541.140.840.341.940.638,741.241.440.9
41.941.440.441.742,342.841.7
40.441.539.538.740.438.642.240.038.841,24K840.. 940,840.839.941.1
40.640,340.439.139.839.038.841.642.141.641.941.042.441.839.840.0
40.243.844.139.439.838.939.140.738.139-740.737,841,138.938.941,040,841.239.940,139,440.040.339,841,441.540.240,240.739.5
41.040,140.839.940.741.140,6
40.639.940.841.240,238.341.739,538,641.442,341.840.940.640.04 0.8
39.338.338.139.039,038.137.840.742.041*941.139.642.241.039.539.4
39.944.244.738.638.838.238.338.138.839.941.03 8.741,138.639.740.540.340.739.338.539.339.639.839.440.541.139.739.940.839.1
4 0,838.540.437.940.541,040.0
41.0
39.4
40.1
40. fl
4,85.34,24.43.83,84,24,12,46,77,45,27,34.23.42.8
3*. 93.43.33-54,14.03.94.53.73,85.25*36.74.53.4
3.54.84.42.93.22.82.63.31.72.73,72,32,42,91.85,05*14.84.54.35.73.43.63.53.82.61.53.23.73.2
3,93.73.53.74.85.23.1
4,85.14,04.43,52,64,14.22,47.17.55.68.14,33,fl3.3
4.03-63.53.74.24.04.64.63.94,15.35.66,84.53.43.5
3.65.55*12,83,32*52.73.22,22.93.72,32,73.21,64.94,95,04,34,54.83.63.73.34,62,71.43,53.83,7
4.03,83,73,84.85,23,3
3.53.63.53.63.31.84.02.92.34.54.43.94.83.23.12.6
3.02.42.42.13.02.72.53.73.83.94.23.76.23.92.52.7
2.74.64.42.02.31.62.22.71.82.33.11.52.62.22.03.63.93.42.93.62.32.83.43.13.92.41.52.52.92.1
3.42.73.82.43.03.33.0
3.43.33.74.13.21.42.72.92.24.64.34.25.02.82.82.1
2.31.71.61.92.21.82.03.03.94.03.52.66.12.92.12.1
2.54.24.21.61.51.41.61.51.82.43.31.82.52.32.63.23.43.02.32.51.52.53.23.03.62.51.52.43.02.0
3.11.53.6
.92.62.82.7
See footnotes at end of table.
127
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 129: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/129.jpg)
ESTABLISHMENT DATAHOURS AND EARNINGS
C-2. Gross hours and earnings of production or nonsupervisory workers1 on private nonagricurtural payrollsby industry—Continued
1972SIC
Code
Industry
May1979
June1979
* p r .1980
Mayp1980
June?1980
Average hourly earningi
May1979
June1979
Apr,1980
Mayp1980 1980
35313532353335353537354354135423544354535463553551355235553563561356235633564356635683573573358358535935923599
36361361236133623621362236336323633363436436413643364436453653651366366136623673671-33674367936936913694
373713711371337143715,637237213724372837337313732374
MACHINERY, EXCEPT ELECTRICAL—ContinuedConstruction machineryMining machineryOil field machineryConveyers and conveying equipmentIndustrial trucks and tractors
Metal work ing machineryMachine tools, metal cutting typesMachine tools, metal forming typesSpecial dies, tools, jigs, and fixturesMachine tool accessoriesPower driven hand tools
Special industry machineryFood products machineryTextile machineryPrinting trades machinery
General industrial machineryPumps and pumping equipmentBall and roller bearingsAir and gas compressorsBlowers and fansSpeed changers, drives, and gearsPower transmission equipment, nee
Office and computing machinesElectronic computing equipment
Refrigeration and service machineryRefrigeration and heating equipment
Misc. machinery, except electricalCarburetors, pistons, rings, valvesMachinery, except electrical, nee
ELECTRIC AND ELECTRONIC EQUIPMENTElectric distributing equipment
TransformersSwitchgear and switchboard apparatus
Electrical industrial apparatusMotors and generatorsIndustrial controls
Household appliancesHousehold refrigerators and freezersHousehold laundry equipment
Electric housewares and fansElectric lighting and wiring equipment
Electric lampsCurrent-carrying wiring devicesNoncurrent-carrying wiring devicesResidential lighting fixtures
Radio and TV receiving equipmentRadio and TV receiving sets
Communication equipmentTelephone and telegraph apparatusRadio and TV communication equipment
Electronic components and accessoriesElectronic tubesSemiconductors and related devicesElectronic components, nee
Misc. electrical equipment and suppliesStorage batteriesEngine electrical equipment
TRANSPORTATION EQUIPMENTMotor vehicles and equipment
Motor vehicles and car bodiesTruck and bus bodiesMotor vehicle parts and accessoriesTruck trailers and motor homes
Aircraft and partsAircraftAircraft engines and engine partsAircraft equipment, nee
Ship and boat building and repairingShipbuilding and repairing
Boat building and repairingRailroad equipment
$3*7.3 20.315.271.280.323.333.326.352.287.249.262.2 97.227.293.298.294.312.302.263.345.287.245.248.263.270.289.340.280.
17 $364.01
250.04253. 13241.35262.20259.26260.98251. 312484 46269.00290. 21205. 80233.18251-29217.88238.00177.49221.18226;80289.98291.72287.94208. 28273.41238; 05193.95301.92287.39340.21
355.24385. 98417.64290.13376. 32232,20339.75349.44346.11312. 44284. 49304.31225. 62359.96
324.307:286:295.327.336.332.357.289.249.286.297.234.297,304.300,314,316.275.350,288.253,256.266.274.290.338.282
253.53256:41245.21264.47261.58,264.45252.55251.77280.85289.02206.06232.80244.11221.54239.79177.17230.89237.51294.99298.91291.92214.77280.14250.16198.70300.85291.21336.60
351.44378.90410.33287.60372.44236.38343.05351.53351.12317.77273.67287.96227.15365.03
$367.38351.50343.37304.78297.95340.80360.86344.87368.'94308.59246.41302.32314.24241.80318.42318.61312.73328.34343:48288.56366.72298.22267.15271.26278.48285.05313.18356.5-3306.12
268.88272.52266.67276.71278.18277.26276.61261.^9281.20314.50211.07247.27278.70239.79,253.62 I184.73238.39248.52315.12322.80307.85j236.61323.64269.73220.25302.24285.38335.62
359.79366.70393.78298.24362.48258.02372.67383.64376.74346.25326.03342.31264.77378.46
$357.55344.02338.91316.11295.68342.63364.71349.03371,; 09307.01243.72304.47320.69245.43324.75321.47216.31327.54353.93295.65361.38304.40272.83274.73273.78278.85314.52346.58309.07
266.45266.95261.62271.21276.51275.20277;80253.95272.16298.37217.67247.59281.29236.81258.18183:65229.97236.38311.98317.60307.44235.22308.16264.13223.28300.68290.30330.50
360:19363.61391.81295.88357.31262.96379.05393.30380.28350.10329.26345.58263.16377.12
$269.21
- I
368.68
$8.537.737.126.547.067.467.617.667.946.766.146.837.255.606.947.237.177.377.366.577.857.026.046.076.506.6 27.038.076.84
6; 226.255.936.496.376.466.196.296.817.315.255.836.225.425.984.615.796.007.097.15 17.04 j5.22 I6.625.754.917.40T.358.24
8.569.199.857.258.966.008.078.328.307.307.137.575.808.91
$8.907. 777.156.677.107;507.657.798.016.816.036.857.255.6$6.977.307.257.477.486.617.956.986.076.116.586.707.068.176.86
6.266.306.016.536.386.456.196.316.857.285.235.826.185.476.044.595.896.097:167.227.125.296.675.904.987.417.418.25
8.539.139.847.198.916.038.118.338.387.397.097.465.90'8.86
$9.428.297.967.477.608.008.228.318.567.336.277.327.746;007.517.797;767.958̂ 127.098.697.406.586.607.057.187.628.767.43
6.796.836.656.976'.926i886.956.847.608.195.546.266.955.956.474.906.296.547.808.017.625.937;446.665.597.737.618.65
9.049.50
10.397.899.206.798.989.389.108.098.058.396.729.63
$9:368.357.907.717.668.108.278.338.657.386.387.397.866.067.577.867.877.788.257.308.757.616.596.627.027.157.698.737.52
6.786.816.596.996.936.886.986.797.568.135̂ 616.306.985.956.624.956.106.277.788.007.615.947.396.675.617.697.688.54
9.059.42
10.237.899.146.929.099.509.238.188.158.476.809.77
$6.85
9.24
See footnotes at end of table.
128
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 130: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/130.jpg)
ESTABLISHMENT DATAHOURS AND EARNINGS
C-2. Gross hours and earnings of production or nonsupervisory workers1 on private nonagricuttural payrollsby industry—Continued
1972SIC
Average weekly hours
Hay1979
June1979
Ipr.1980 1980 *
June:1980p
Average overtime hours
Hay1979
June1979
Apr.1980
May1980 P
Junep
1980
35313532353335353537354354135423544364535463553551355235553563561356235633564356635683573673358358535935923699
3636136123613362362136223633632363336343643641364336443645365365136636613662367367133674367936936913694
373713711371337143715,837237213724372837337313732374
MACHINERY, EXCEPT ELECTRICAL—ContinuedConstruction machineryMining machineryOil field machineryConveyers and conveying equipmentIndustrial trucks and tractors
Metalworking machineryMachine tools, metal cutting typesMachine tools, metal forming typesSpecial dies, tools, jigs, and fixturesMachine tool accessoriesPower driven hand tools
Special industry machineryFood products machineryTextile machineryPrinting trades machinery
General industrial machineryPumps and pumping equipmentBall and roller bearingsAir and gas compressorsBlowers and fansSpeed changers, drives, and gearsPower transmission equipment, nee
Office and computing machinesElectronic computing equipment
Refrigeration and service machineryRefrigeration and heating equipment
Misc. machinery, except electricalCarburetors, pistons, rings, valvesMachinery, except electrical, nee
ELECTRIC AND ELECTRONIC EQUIPMENT . . . .Electric distributing equipment
TransformersSwitchgear and switchboard apparatus
Electrical industrial apparatusMotors and generatorsIndustrial controls
Household appliancesHousehold refrigerators and freezersHousehold laundry equipmentElectric housewares and fans
Electric lighting and wiring equipmentElectric lampsCurrent-carrying wiring devicesNoncurrent-carrying wiring devicesResidential lighting fixtures
Radio and TV receiving equipmentRadio and TV receiving sets
Communication equipmentTelephone and telegraph apparatusRadio and TV communication equipment . . . .
Electronic components and accessoriesElectronic tubesSemiconductors and related devicesElectronic components, nee
Misc. electrical equipment and suppliesStorage batteriesEngine electrical equipment
TRANSPORTATION EQUIPMENTMotor vehicles and equipment
Motor vehicles and car bodiesTruck and bus bodiesMotor vehicle parts and accessoriesTruck trailers and motor homes
Aircraft and partsAircraftAircraft engines and engine partsAircraft equipment, nee
Ship and boat building and repairingShip building and repairingBoat building and repairing : . . '
40.741.444.341.539.843.443.842.644.442.540.641.341.040,742.341.341.142.441.140.144.041.040.741.040.540.941.242.241.0
40.240.540.740.440.740.440.639.539.539.739,240.140.440.239,838.538.237.840.940.840.939.941.341.439.540.839.141.3
41.542.042.440.142.038.742.142.041.742.839.940.238.940.4
40.941.843.042.941.643*744.042.744.642.541.441.841.041.542.741.741.442.142.341.744.141.441.741.940.541.041.241.441.2
40.540.740.840.541,041.040.839.941.039.739.440.039.540.539.738,639 f239.041.241.441.040.642.042.439.940.639,340.8
41.241.541.740.041.839.242.342.241.943.038.638.638.541.2
39.042.443.240.839.242.643.941.543.142.13$. 341.340.640.342.440.940.341.342.340.742.240.340.641.139.539.741.140.741.2
39.639.940.139.740.240.339.838.237.038.438.139.540.140.339.237.737.938.040.440.340.439.943.540.539.439.137.538.8
39.838.637.937.839.438.041.540.941.442.840.540.839.439.3
38.241.242.941.038.642.344.141.942.941.638.241.24 0-. 840.542.940.940.242.142.940.541.340.041.441.539.039.040.939.741.1
39.339.239.738.839.940.039.837.436.036.738.839.340.339.839.037.137.737.740.139.740.439.641.739.639.839.137.838.7
39.838.638.337.539.138.041.741.441.242.840.44,0.838.738.6
39.3
39.9
2.53.14.33.42.25.55.86.36.05.23.23.52.92.93.94.03.54.83.23.85.83.92.62.72.52.84.54.44.5
2.72.83.42.43.13.13.02.01.91.31.92.72.12.72.41.81.81.52.52.92.1-2.71.93.62.63.42.84.0
4.95.87.04.05.02.64.44.04.75.03.03.12.64.1
2.53.14.64.23.35.65.86.56.15.24.03.83.03.23.94L23«64.. 73.94.55.94.22.82.82.62.94.33.44.4
2.83.23.62.83.13.22,62.53.0
.52.52.51.72*72.31.82.62.42.73.32.32.92.33.72.82.92.83.2
4.3**75.53.44.22.54.54.04,95.32.93.12.34.2
1.83.55.32.62.14.86.04.75.34.62.13.52.72.24.33.42.84.64.73.24.22.62.42.51.82.04.02.54.2
2.22.32.72.12.42.42.31.71.8.7
T.32.12.22.41.71.11.41.62.22.42.02.62.73.42.41.3.6
1.1
2.92.12.11.62.21.33.9a.i4.44.93.43.53.13.2
1.02.75.53.21.84.66.14.55.04.01.73.22.62.54.03.42.64.35.13.63.72.72.52.41.51.63.71.94.0
1.92.12.61.72.01.92.31.2
.9.3
1.41.82.02.01.4.7
1.11.21.91.72.12.32.32.72.31.3*7.9
2.61.51.61.51.51.04.03.14.84.93.33.42.82.2
8 M footnotes at end of table.
129
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 131: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/131.jpg)
ESTABLISHMENT DATAHOURS AND EARNINGS
C-2. Gross hours and earnings of production or nonsupervteory workers1 on private nonagricuttural payrollsby industry-Continued
1972SIC
Code
Industry
Average weekly earnings
Bay1979
June1979
Apr.1980
HayBOP1980P
June-1980 v
Average hourly earningi
Bay1979
June1979
Apr.198C 19B0? 1980 V
TRANSPORTATION EQUIPMENT—Continued376 Guided missiles, space vehicles, parts3761 Guided missiles and space vehicles379 Miscellaneous transportation equipment3792 Travel trailers and campers
38 INSTRUMENTS AND RELATED PRODUCTS .381 Engineering and scientific instruments382 Measuring and controlling devices3822 Environmental controls3823 Process control instruments3825 Instruments to measure electricity383 Optical instruments and lenses384 Medical instruments and supplies3841 Surgical and medical instruments3842 Surgical appliances and supplies385 • Ophthalmic goods386 Photographic equipment and supplies387 Watches, clocks, and watchcases
39 MISCELLANEOUS MANUFACTURINGINDUSTRIES
391 Jewelry, silverware/and plated ware3911 Jewelry, precious metal393 Musical instruments394 Toys and sporting goods3942, 4 Dolls, games, toys, and children's vehicles .3949 Sporting and athletic goods, nee395 Pens, pencils, office and art supplies396 Costume jewelry and notions3961 Costume jewelry399 Miscellaneous manufactures3993 Signs and advertising displays
NONDURABLE GOODS
20 FOOD AND KINDRED PRODUCTS201 Meat products2011 Meat packing plants2013 Sausages and other prepared meats2016 Poultry dressing plants202 Dairy products2022 Cheese, natural and processed2026 Fluid milk203 Preserved fruits and vegetables2032 Canned specialties2033 Canned fruits and vegetables2037 Frozen fruits and vegetables204 Grain mill products2041 Flour and other grain mill products2048 Prepared feeds, nee205 Bakery products2051 Bread, cake, and related products2052 Cookies and crackers206 Sugar and confectionery products2061-3 Cane and beet sugar2065 Confectionery products207 Fats and oils208 Beverages2082 Malt beverages
2086 • Bottled and canned soft drinks209 Misc. foods and kindred products
21 TOBACCO MANUFACTURES211 Cigarettes
22 TEXTILE MILL PRODUCTS221 Weaving mills, cotton222 Weaving mills, synthetics223 Weaving and finishing mills, wool224 Narrow fabric mills225 Knitting mills
See footnotes at end of table.
S3 34. 49330.08245.63206. 97
249. 29264.62255.64229.31264.50272. 85290.59208. C3203. 52212.78187.78327.60181.50
192. 50192.75163.46190.03174.80168.59180*69207.60163.40151.25216*61227.76
245.92248.22312.12293.06152.66257.09233.84269.19207.82247.86209.75194. 54287.30305.92236. 85247*94250.51240.28234.74283,58204.67279.48295. 87407.13219.85206.72
264.913C8.51
181.25192.82196.24187.33169.70161.45
$336.17334.56244.98207.32
249.08266.39254.20231.05260.18268.97294.70207.48201.61213.56191.49324.24181.07
194.11196.84187.82197.20174.96167.90180*86209.61163.54149.48218*67226.58
247.16250.80318.10294.80158.18261.88242.19271.93202.31249.90197.27190*0829H.60310.50238.82252.20253.87249.40239.37287.83210.21285.75302.47421.64224.37202.00
265.59305.34
184.78192.87195.82193.93170.49166.06
$365.49368.83267.29222.32
267,852 SO.09275.93249.05285.98298.98287-34222.05217.49226.56206.32350.38198.14
206.21215.84210,92206.27188.93181.98194.22220.65170.75159.12228.14246.52
262.58261.67341.92299.90154.18276.19249.60291.75216.02227.94221.56204.82315.42322*15258.26267.72268.22265.39249.87327.41213.76297.62322.77465.65235.22213.30
297.58341.25
195.91210.53204.02203.31180. 18178.39
$366.53371.59269.89220.79
270.82289.26278.26244.67289.24302.81297.66224.22218.00229.67209.62354.19195.29
205.90216.38210.13205.29188.82181.06195.82220.80172.79162.58226.53245.75
270.75274.82354.48325.22163.47283.24256.31297.50222.50235.22231.21216.54315.84333.27256.39276.83277. 48277.02254.54340*70213.18298.05331.17474.54246.65221.45
294. 14340.45
195.02208.15208*69205.20180.58179.24
$273.10
207.26
269.79
315.17
195.23
$8.068.156.555.83
6.116.476.165.826.186.426.535.285.055.474.897.804.69
5.005.145.044.864.604.464.735.194.304.115.545.84
6.216.307.657.294.066.245.926.445.376.095.425.046.766.895.476.446.496*296.057*295.336.537.369.935.515.44
6.817.85
4.524.684.744.664*194.26
$8.128.166.435.68
6.126.456.175.826.186.456.525.325.135.494.917.724.74
4.995.185.094.934.584.434.715s 154.274.045.555.78
6.216.277.617.374.136.285.986.495.316.145.394.956.756.905.446.506.566.336.067.255.396.637.45
10.165.545.43
6.817*73
4.544.674.734.734.224.28
$8.989.047.096.21
6.636.946.736.186.627.317.065.655.375.905.218.635.16
5.375.715.675.334.924.844.985.534.644.425.886.37
6.756.858.367.814.386.726.406.935.736.555.805i397.517*586:126*997.046.846.498.315s646.977.95
10*685.975.86
7.798.91
4.915.115.055.074.554.67
$9.059.137.146. 15
6.726.976.826.216.687.447.265.725.455.955.288.665.18
5.395.775.715.364.934.795.065.524.624.435.936.45
6.826.948.448*074.436.766.447.005.846.485.995.517.527.546.097.087. 176.846.518.195.616.987.98
10.646.095.97
7.688.82
4.905.045*095.134.564.68
$6.71
5.44
6.83
8.04
4.93
130
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 132: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/132.jpg)
ESTABLISHMENT DATAHOURS AND EARNINGS
C-2. Gross hours and earnings of production or nonsupervisory workers1 on private nonagricultural payrollsby industry-Continued
1972SIC
Codt
Industry
Average weekly hours
May1979
June1979
ipr.1980
Hay1980P
June1980 P
Average overtime hours
May1979
June1979
Apr.1980
May1980'P 1980 }
TRANSPORTATION EQUIPMENT—Continued376 Guided missiles, space vehicles, parts3761 Guided missiles and space vehicles379 Miscellaneous transportation equipment3792 Travel trailers and campers
38 INSTRUMENTS AND RELATED PRODUCTS .381 Engineering and scientific instruments ,382 Measuring and controlling devices3822 Environmental controls ,3823 Process control instruments ,3825 Instruments to measure electricity383 Optical instruments and lenses ,384 Medical instruments and supplies3841 Surgical and medical instruments3842 Surgical appliances and supplies385 Ophthalmic goods386 Photographic equipment and supplies387 Watches, clocks, and watchcases
39 MISCELLANEOUS MANUFACTURINGINDUSTRIES
391 Jewelry, silverware, and plated ware3911 Jewelry, precious metal393 Musical instruments394 Toys and sporting goods3942,4 Dolls, games, toys, and children's vehicles .3949 Sporting and athletic goods, nee395 Pens, pencils, office and art supplies396 Costume jewelry and notions3961. Costume jewelry399 Miscellaneous manufactures3993 Signs and advertising displays
NONDURABLE GOODS
20 FOOD AND KINDRED PRODUCTS201 Meat products2011 Meat packing plants2013 Sausages and other prepared meats2016 Poultry dressing plants202 Dairy products2022 Cheese, natural and processed2026 Fluid milk203 Preserved fruits and vegetables2032 Canned specialties2033 Canned fruits and vegetables2037 Frozen fruits and vegetables204 Grain mill products2041 Flour and other grain mill products2048 Prepared feeds, nee205 Bakery products2051 Bread, cake, and related products2052 Cookies and crackers206 Sugar and confectionery products2061-3 Cane and beet sugar2066 Confectionery products207 Fats and oils208 Beverages2082 Malt beverages2086 Bottled and canned soft drinks209 Misc. foods and kindred products
21 TOBACCO MANUFACTURES211 Cigarettes
22 TEXTILE MILL PRODUCTS221 Weaving mills, cotton222 Weaving mills, synthetics223 Weaving and finishing mills, wool224 Narrow fabric mills226 Knitting mills
See footnotes at end of table.
41.540.537.535.5
40.840.941.539.442^842.544.539.440.338.938.442.038,7
38.537.536.439.138.037.838.240.038.036.839.139.0
39394040374139413840.383842,444338,3838.38,3838.42,4041.3938
38.939.3
40.141.241.440.240.537.9
41.441.038. 136.5
40*741.341.239.742,141.745.239.039.338.939.042.038.2
38-938.036.940.038.237.938.440.738.337.039.439.2
39.840.041.840.038.341.740.541.93B.140*736.638.443,245.043.938.838,739*439.539.739.043.140.641.540,537.2
39.039.5
40.741,341.441.040.438.8
40.740.837.735.8
40.441.841.040.343.240.940.739.340,538.439.64*0.638.4
38.437.837.238.738.437.639.039.936.836.038.838.7
38,938.240.938.435.241.139.042.137.734.838.238.042.042.542.238.338.138.838.539.437.942.740.643,639.436.4
38.238.3
39.941.240.440.139.638.2
40.540.737.835.9
40.341.540.839.4,43.340.741.039.240.038.639.740.937.7
38.237.536.838.338.337.838.740.037.436.738.238.1
39.739.642.040.336.941.939.842.538,136,338,639*342.044.242.139.138.740.539.141.638.042.741.544.640.537.1
38.338.6
39.841.341.040.039.638.3
40-7
38.1
39-5
39.2
39.6
4.03.11.2.7
2.32.82.41.33.22.03.91.92.31.61.62.91.5
1.91.91.71.31.61.51*72.62.01.72.22.4
3.74.04.74.13,43.93.24.12.73.72.62.85.36.35.73.43.91.82.42.92.35.23,74.73.73.2
.9
.7
3.34.03,93.42.72.4
4.33.61.31.1
2.42.92.51.63.12.14.12.02.41.81.82.7•1.3
2.01.91.6t.71,61.61.62.81.81.32.42.4
3.74.15.03.53. 64.33,94.32.83,52.62.75.66.76.13.43.82.12.42.92.25.53.95.04.03.0
1.1.9
3.64.03.74.02.82.9
3.53.01.61.4
2.22.72.01.63.61.52.72.02.22.02.02.61.2
1.72.22.41.21.41.21.62.11.81.21.92.1
3.43.54.92.92.23.83.14.22.83.72.93.25.35.45.83.13.42.11.9.92*14.93.75.53.32.7
1.92.1
3.34.43.02.82.62.5
3.22.9.9.7
2.22.82.11.23.81.6S.41.81.91.81.82.8•1.3
1.51.51.61.11.21.21.31.91.71.41.72.0
3.64.05.23.82.74.33.54.42.63.62.82.94.85.15.33.23.62.11.91.61.94.74.16. 13.93.2
1.51.7
3.03.93.12.92.22.4
131
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 133: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/133.jpg)
ESTABLISHMENT DATAHOURS AND EARNINGS
C-2. Gross hours and earnings of production or nonsupervisory workers1 on private nonagricultural payrollsby industry-Continued
1972SIC
Codt
Average weekly writings
y1979
Jane1979
Apr,1980
Hay1980?
Jane1980P
Average fcpuny eanwofli
Bay1979
Jane1979
i p r .1980
Hay1980 p Jane
1980 p
225122522253225422572262261226222722822812282229
232312322321232723282332331233523372339234234123422362361238239239123922396
26261.2.6262263264264126422643265265126532654
272712722732731273227427527512752276278279
282812819282282128242832834
TEXTILE MILL PRODUCTS—ContinuedWomen's hosiery, except socksHosiery, neeKnit outerwear millsKnit underwear millsCircular knit fabric mills
Textile finishing, except woolFinishing plants, cottonFinishing plants, synthetics
Floor covering millsYarn and thread mills
Yarn mills, except wool • •Throwing and winding mills
Miscellaneous textile goods
APPAREL AND OTHER TEXTILE PRODUCTS .Men's and boys' suits and coatsMen's and boys' furnishings
Men's and boys' shirts and nightwearMen's and boys' separate trousersMen's and boys' work clothing
Women's and misses' outerwearWomen's and misses' blouses and waists . . .Women's and misses' dressesWomen's and misses' suits and coatsWomen's and misses' outerwear, nee
Women's and children's undergarmentsWomen's and children's underwearBrassieres and allied garments
Children's outerwearChildren's dresses and blouses
Misc. apparel and accessoriesMisc. fabricated textile products
Curtains and draperiesHouse furnishing, neeAutomotive and apparel trimmings
PAPER AND ALLIED PRODUCTSPaper and pulp millsPaper mills, except building paperPaperboard millsMisc. converted paper products
Paper coating and glazingEnvelopesBags, except textile bags
Paperboard containers and boxesFolding paperboard boxesCorrugated and solid fiber boxesSanitary food containers
PRINTING AND PUBLISHINGNewspapersPeriodicalsBooks *
Book publishingBook printing
Miscellaneous publishingCommerical printing
Commercial printing, letterpressCommerical printing, lithographic
Manifold business formsBankbooks and bookbindingPrinting trade services
CHEMICALS AND ALLIED PRODUCTSIndustrial inorganic chemicals
Industrial inorganic chemicals, neePlastics materials and synthetics
Plastics materials and resinsOrganic fibers, noncellulosic
DrugsPharmaceutical preparations
$154.541 46. 77154,71145.48166.52193.66193.12208.82190.76168.82169.68162.37204.65
147. 07177.41137.C9133.57137. 16140.60137.70134.41134iO91 46. 96138.38134.46131.25147.65136. 84133.93149.33184.09138.01155.88315. 20
295i 95361.70363.20355.78253. 58306.75231.64240.85256.66260.53269.86237.63
256.25254.16228.90234.99223.74246. 40212.42269.31250:52278.40269.69203.18329.C8
312.66336.94335 .̂74310.70343.68268.15272. 56264.27
$159.151.158.149,191.203.201.217.199.172,173.161,204.
149.88179.57140.89136.90141.48143.25141.04137.36137;. 06155.04140.76136.73134.61146.08140,59140.23151.33184.12145.13158.30303.31
302.60369.37370.46353.7126ft. 21319.16237.69244.73264.38268.92278.81248.94
258.43253.53231.36235.39223.49248.03221.29273.79254.60282.94277.64203.45331.74
315.17341.54340.72313.12347.44288.56275.81266.53
$161.04155.01173.71167.26212.85214.95219.63521.24193.33185*78188.03173.66215.06
157.44190.28151.32145*7115P.58152.97151.20146.54147.02162.96154.00146.32145.40149.02145.38139.54157.44178.93142.56161.18270.11
321.994C2.70404.80395.45269.74302. 17244.73256.24274.32280.84286.59261.20
270.11254.17244.63245.80235.25257.18224.64287.28266.70296.42294.44221.70351.56
337.79362.15366.68339.42367.98319.49307.91290.56
$159.71155.76179.80169.72207.16210.77215.87214.80191.90184.12187.27167.32210.54
157.09193.61152.15147.42151.94153,82148.95143.98142.58165.39149.70147*19147.02148.61148.68144.38158.24177.34142.04166.57263.78
317.82389.84389.38383.83271.35309.09244.90257.84275w93287.86284.12271.42
274.91257.62250.60254.49241.04268.23235.05294.10273.04300.99295.00224.06352.88
338.64361.68365.38338.25377.87310.43310.02294.19
$159.84
324.31- I
274. 53
339.49
$4.114.014.174.034.714.774.844.964.634.214.204.094.96
4.195.043.843.703.933.804.163.934.234.404.073.823.754.093.783.714.084.873.734.077.88
6.988.028.008.166.206.945.825.866.266.376.555.81
6.877.416.226.015.656.405.957i.O56.617.256.615.258.87
7.488.088.097.388.036.916*786.64
$4.124.034.194.044.754.834.905.024.734.234.224.094.99
4.215.033.863.713.933.824.213.974.314.524.083.833.764.153.813.794%. 094.823.754.087.94
7.078.198.168.156. 277.035.845.94'6.34'6.486.675.83
6.917.376.276.135.766.516.137.136.707.336.695.238.87
7.548.218.237.428.086.926.816.68
$4.404.334.624.575.085.235.375.374.974.614.62
.435.31
• 46.36.18.07.29.09• 50.26• 58• 85.40.11• 05• 37.13.08.41.81
3.964.387*32
7.638.678.809.076.717.376.186.396.746.806.996.53
7.347.616.936.526.296.756.247.607.157.787.275.679.40
8.128.798.908.128.727.687.517.21
$4.344.404.674.555.095.235.335.375.054.584.594.385.29
4.455.294.184.054.284.084.504.214.574.854.394.104.054.324.134.094.424.783,994.437.11
7.648.848.759.016.757.436.206.436.836.977.056.62
7.457.697.006.616.366.866.377.767.327.907.325.769.41
8.168.808.898.199.047.597.587.30
$4.49
7.74
7.46
8*24
See footnotes at end of table.
132
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 134: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/134.jpg)
ESTABLISHMENT DATAHOURS AND EARNINGS
C-2. Gross hours and earnings of production or nonsupervisory workers1 on private nonagricultural payrollsby industry-Continued
1972SIC
Cod*
Average weekly hours
Hay1979
June1979
Apr.1980
Hay1980
June .1980 '
Average overtime h
1979June1979
Apr.1980
Bay1980 P
Jane1980 v
TEXTILE MILL PRODUCTS—Continued2251 Womtn'i hosiery, except socks2262 Hosiery.nec2253 Knit outerwear mills2254 Knit underwear mills2257 Circular knit fabric mills226 Textile finishing, except wool2261 Finishing plants, cotton2262 Finishing plants, synthetics227 Floor covering mills228 Yarn and thread mills2281 Yarn mills, except wool2282 Throwing and winding mills229 Miscellaneous textile goods
23 APPAREL AMD OTHER TEXTILE PRODUCTS231 Men's and boys' suits and coats232 Men's and boys' furnishings2321 Men's and boys' shirts and nighwear2327 Men's and boys' separate trousers2328 Men's and boys'work clothing233 Women's and misses' outerwear2331 Women's and misses'blouses and waists . .2335 Women's and misses' dresses2337 Women's and misses' suits and coats . . . .2330 Women's and misses' outerwear, nee234 Women's and children's undergarments2341 Women's and children's underwear2342 Brassieres and allied garments236 Children's outerwear2361 Children's dresses and blouses238 Misc. apparel and accessories239 Misc. fabricated textile products2391 Curtains and draperies2392 House furnishings, nee2396 Automotive and apparel trimmings
26 PAPER AND ALLIED PRODUCTS261.2.6 Paper and pulp mills262 Paper mills, except building paper263 Paperboard mills264 Misc. converted paper products2641 Paper coating and glazing2642 Envelopes2643 Bags, except textile bagsZoo PsporDosro contBtn0f % BOG DOXGS * . * • * • , . ,2651 Folding paperboard boxes2653 Corrugated and solid fiber boxes2854 Sanitary food containers
27 PRINTING AND PUBLISHING271 Newspapers272 Periodicals273 Books2731 Book publishing2732 Book printing274 Miscellaneous publishing275 Commercial printing2751 Commerical printing, letterpress2752 Commercial printing, lithographic276 Manifold business forms ,278 Bankbooks and bookbinding279 PnntinQ tr&ot Mfvico •••<
28 CHEMICALS AND ALLIED PRODUCTS281 Industrial inorganic chemicals2819 Industrial inorganic chemicals, nee282 Plastics materials and synthetics2821 Plastics materials and resins2824 Organic fibers, noncellulosic283 Drugs2834 Pharmaceutical preparations
See footnotes at end of table.
37.636.637.136.139.640.639,942.141.240.140.439.7'41.3
35.135.235.736.134.937.033.134.231.733.434.035.235.036.136.236.136.637.837.038.340.0
'42.445.145.443.640.944.239.841.141.040.941.240.9
37.334.3
. 36.839.139.63&.535.738.237.938.440.838.737.1
41.841.741.542.142.841.740.239.8
38.837.737.837.140.442.141.243.342.240.741.239,540.9
35.635.736.536.936.037.533.534.631.834.334.535.735.835-236.937.037.038.238.738.838*2
42.845.145.443.441.545.440.741.241.74*1.541.042,7
37.434.436.938.438.838.136.138.438.038.641.538.937.4
41.841.641.442.243.041-740.539.9
36.635,837.636.641.941.140.941.238.940.340.739.240.5
35.335.536.235-835.137,433.634.432.133.635.035.635.934.135.234.235.737.236.036.836.9
42.245.446.043.640.241.039.640.140.741*341.040.0
36.833.435.337.737.438.136.037.837.338.140.539.137, *
41.641.241.241.842.241.641*040.3
36.835.438.537.340.740.340.540.038.040.240.838.239.8
35.336.636.436.435.537.733.134.231.234.134.135.936.334.436.035.335.837.135.637.637.1
41.644.144.542.640.241.639.540.140.441.340.341.0
36.933.535.838.537.939.136.937.937.338.140.338.937.5
41.541.141*141.341.840.940.940.3
35.6
41.9
36. P
41.2
2.71*71.81.14.23.22.74.14.23.43.73-43.5
1.0.6• 8.9.6
1.1.8.9.7.8.9.7• 7.8
1.11.31.21.91.02*03.6
4.56.46.57.23.24.82.73.13.22.93.63.1
2.62.11.83.72.74.82.02.92.53.12.8ue2.73.43.63*13.44.32.72.32.1
3.52.22.01.34.74.13.85.04.83.74*03.23.3
.51.11.21.01.5. 9.9. 7
1.11.01.11.1. 9
1.31.51.22*02*12.12.5
4.86.66.77.13-55.42.83.33.73.44.23.3
2*62.01.53.11*84.42.03.02.53.23.31.92.9
3.43.83.33.44.42*62,42.4
1.91.32.31.74.53.63.73.63.33.84.03.42.8
.9
.61.01.0
• 81.3
.8
.9
.6
.71.1. 8. 7
1.01.0
. 71.11.3. 6
1.5'1.1
4.16.87.07.02.83.22.62.52.13.21.23.1
2.31.82.12.51.63.41.42.72.22.93.12.03.0
3.33.23.13.04.02.23.13.1
1.61.32.41.64.23.33.43.12.33.53.73.12.4
.9.9
1.11.0
• 91.4
.7• 8. 6.8. 8.9.9.8
1.0.9• 9
1.1.6
1.4.9
3.75.96.16.12.63.02.22.32.03.41.12.6
2.31.72.02.21.53.02.02.62.02.92.61.92.9
3.03.02.92.63.61.72*82.8
133
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 135: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/135.jpg)
ESTABLISHMENT DATAHOURS AND EARNINGS
C-2. Gross hours and earnings of production or nonsupervisory workers1 on private nonagricultural payrollsby industry—Continued
1972SIC
Code Bay1979
June1979 1980
Hay1980P
June1980 *
Average hourly earnings
May1979
Jane1979
Apr.1980
May1980P
June1980P
284284128442842,32852862865
2861,9
287
29291295
30301302303,4
306307
3131131431433144316317
4011
41
411413
42421.3422
46
48
481
4817 .
4818
483
491
492
493
495
50,51
50
501
502
503
504
CHEMICALS AND ALLIED PRODUCTS—Cont'dSoap, cleaners, and toilet goods
Soap and other detergents
Toilet preparationsftolishing,sanitation,and finishing preparations .
Paints and allied productsIndustrial organic chemicals
Cyclic crudes and intermediatesGum, wood, and industrial organic chemicals,
nee
Agricultural chemicalsMiscellaneous chemical products
PETROLEUM AND COAL PRODUCTSPetroleum refiningPaving and roofing materials
RUBBER AND MISC. PLASTICS PRODUCTS . . . .Tires and inner tubesRubber and plastics footwearReclaimed rubber, and rubber and plastics hose
and belting
Fabricated rubber products, neeMiscellaneous plastics products
LEATHER AND LEATHER* PRODUCTSLeather tanning and finishingFootwear, except rubber
Men's footwear, except athleticWomen's footwear, except athletic
LuggageHandbags and personal leather goods
TRANSPORTATION AND PUBLICUTILITIES
RAILROAD TRANSPORTATION:Class I railroads 2
LOCAL AND INTERURBAN PASSENGERTRANSITLocal and suburban transportationIntercity highway transportation
TRUCKING AND WAREHOUSINGTrucking and trucking terminalsPublic warehousing
PIPE LINES, EXCEPT NATURAL GAS
COMMUNICATIONTelephone communication
Switchboard operating employees3
Line construction employees4
Radio and television broadcasting
ELECTRIC, GAS, AND SANITARY SERVICES . .Electric servicesGas production and distributionCombination util ity servicesSanitary services
WHOLESALE AND RETAIL TRADE
WHOLESALE TRADE
WHOLESALE TRADE-DURABLE GOODS
Motor vehicles and automotive equipmentFurniture and home furnishingsLumber and construction materialsSporting goods, toys, and hobby goods ,
S288.05396.95220.99261.202e5.86392.47352.30
406.23300. 572 €8. 42
409.91440.08325*97
238.95346.52153.44
246. 82225.28220.18
152. 15208. 41147.02158.67136*54156.56146.29
315.22
368. 51
203.93286*49323.47
327. 163 33.56223.40
393. 46
297. 44305.29213. 14412.88259.16
336.58342.77307.C9372. 02278. 88
162.32
245.C7
247.20229.88221. 78250.17241.23
$291.41407.72222.91259.05287.28391.94360.26
4*03.74306.44288.84
404.05434.02322.99
240.54347.76154.22
260.04228.26223.85
155.08216.28149.48159.09141.60155.81150.35
321.60
380.61
208.38290.78333.89
333.60340.45227.92
384.81
300.09308.74213.36415.30264.19
342*32355.21305.78373.15281.48
165.49
247.65
250.04232.25223.56253.04241.16
$296400231275290416374
430.95337*03312.42
404.01446.203 02.25
250.11365.04176.95
272.30239.51232.62
165.88244.02159,94172*88149.58176.66153.15
344.05
420.20
212.78276.00347.33
350.24357.59241.42
458.60
328.72338.00218.67429.71278.21
360*64376.94330.08383.35284.41
171.72
263.81
264.32242.19231.26262.13258.00
$303.00411.16240.40274.17290.87413.08355.52
433.94337.15311.60
430*10467.18312.64
247.26355.84182.13
262*25236.01230.88
167.24240.80162.50170.57156.09177.63156.95
342.30
(*)
213.90272.05340.91
354. 63362*39246.27
442.49
325.05335.07224.76423.30274.74
363.54380.80330.46386.63286.06
172.90
265.27
265.78243.59228.04268.10257.37
$431.11
254.23
171.16
348. 65
175.17
268.27
$7.139.215.746.536.798.948.27
9.176.996.90
9.3810.147.18
5.908.374.07
6.025.595.45
4.185.474.054.223.894.414.03
7.94
8.59
5.816.928.58
8.228.365.91
9.55
7.537.696.429.326.82
8.138.227.628.906.64
5.01
6.30
6.295.945.936.276*45
$7.169.335.766.466.849*018.32
9.267.116; 96
9.3S10.077.13
5.918.404.08
6.095.655.50
4.185.564.044.223.894.344.02
8.02
8.67
5.926.998.65
8.348*495.92
9.34
7.5474 686.359.276.88
8.178.287.558.976.75
5.03
6.35
6.335.945.936.396.38
$7.409.645.877.007.289.508.78
9,757.737.62
9.8310.837.39
6.309.364.38
6.746.115.83
4.526.044.374.614.194.884.29
8.71
9.55
6.246.909.49
9.059.246.37
10.74
8.288.456.92
10.047.36
8.698.898.159.356.92
5.40
6.87
6.836.346.206.886.88
$7.509*726.017.037.299.548.65
9.847.687.60
10.1210.897.57
6.349.544.41
6.696.135.86
4.526.024.384.614*234.844.30
8.71
(*)
6.206.949.34
9.149.346.43
10.74
8.258.446.989.967.23
8.768.968.209.436.96
5.42
6.89
6.856.366.137. 006.90
$10.12
6.42
4.54
8.76
5.44
6.95
See footnotes at end of table.
134
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 136: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/136.jpg)
ESTABLISHMENT DATAHOURS AND EARNINGS
C-2. Gross hours and earnings of production or nonsupervisory workers1 on private nonagricuttural payrollsby industry—Continued
1972SIC
Code
Industry
Average weekly noun
Hay1979
June1979
ipr.1960
Hay1980p
June1980 p
Average overtime hours
Bay1979
June1979
Apr.1980
flay1980 t
Jane1980 p
284284128442842,328528628652861,9
287
29291295
30301302303,4
306307
31
31131431433144316317
411413
42421,3422
46
4848148174818483
491492493495
50,51
50501502503504
CHEMICALS AND ALLIED PRODUCTS—Cont'dSoap, cleaners, and toilet goods
Soap and other detergentsToilet preparationsPolishing, sanitation, and finishing preparations
Paints and allied productsIndustrial organic chemicals
Cyclic crudes and intermediatesGum, wood, and industrial organic chemicals,
neeAgricultural chemicalsMiscellaneous chemical products
PETROLEUM AND COAL PRODUCTSPetroleum refiningPaving and roofing materials
RUBBER AND MISC. PLASTICS PRODUCTS . . . .Tires and inner tubesRubber and plastics footwearReclaimed rubber, and rubber and plastics hose
and beltingFabricated rubber products, neeMiscellaneous plastics products
LEATHER AND LEATHER PRODUCTSLeather tanning and finishingFootwear, except rubber
Men's footwear, except athleticWomen's footwear, except athletic
LuggageHandbags and personal leather goods
TRANSPORTATION AND PUBLICUTILITIES
RAILROAD TRANSPORTATION:Class I railroads 2
LOCAL AND INTERURBAN PASSENGERTRANSITLocal and suburban transportationIntercity highway transportation
TRUCKING AND WAREHOUSINGTrucking and trucking terminalsPublic warehousing
PIPE LINES, EXCEPT NATURAL GAS
COMMUNICATIONTelephone communication
Switchboard operating employees 3
Line construction employees *Radio and television broadcasting
ELECTRIC. GAS. AND SANITARY SERVICES . .Electric servicesGas production and distributionCombination util ity servicesSanitary services
WHOLESALE AND RETAIL TRADE
WHOLESALE TRADE
WHOLESALE TRADE-DURABLE GOODS
Motor vehicles and automotive equipmentFurniture and home furnishingsLumber and construction materialsSporting goods, toys, and hobby goods
40.443.138.540.042.143.942.6
44.343.041.8
43.743.445.4
40.541.437.7
41.040.340.4
36.438.136.337.635.135.536.3
39.7
42.9
35.141.437.7
39.839.937.8
41.2
39.539.733.244.338.0
41.441.740.341.«42.0
32.4
38.9
39.338.737.439.937.4
40.743,738.74D.1t» 2,043.543.3
43.643.141.5
43.443.145.3
40.741.437.8
42.71*0.440.7
37.138.937.037,736.435.937.4
40.1
43.9
35.241.638.6
40.040.138.5
39.840.233.644.838.4
41.942.940.541.641.7
32.9
39.0
39.539.137.739.637.8
40.141.539.539.339.943.842-6
44.243.641.0
41.141.240.9
39.739.040.4
40.439.239.9
36.740.436.637.535.736.235.7
3T9.5
44.0
34.140.036.6
38.738.737.9
42.7
39.740.031.642.837.8
4t.542.440.541.04t. 1
31.8
38.4
38.738.237.338.137.5
40.442.340.039.039.943.341.1
44.143.941.0
42.542.941.3
39.037.341.3
39.238.539.4
37.040.037.137.036.936.736.5
39.3
<*)
34.539.236.5
38.838.838.3
41.2
39.439.732.242.538.0
41.542.540.341.041.1
31.9
38.5
38.838.337.238.337.3
42.6
39-6
37.7
39-8
3.04.62.02.73.54.34.1
4.35.03.3
4*53-87*5
3.44.32.0
4.33.03.3
1.42.31.31.21.52.01.5
32.2
38-6
2.95.01.52.43.64.44.8
4.34*53-2
4.2
t:3.43.71.9
5.33.03.4
1.72.31.61.52.01.71.8
2.53.72.01.92.24.14.0
4.15.23.1
3.63.54.2
2.41.42.8
1.82.02.7
1.63.41.41.41.42.91.4
2.43.92.01.41.93.52.6
3.84.9
3.93.94.2
2.1.8
2.9
1.11.62.4
1,63.01.41.31.62.41.5
See footnotes at end of table.
135
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 137: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/137.jpg)
ESTABLISHMENT DATAHOURS AND EARNINGS
C-2. Gross hours and earnings of production or nonsuparvisory workers1 on private nonagricuttural payrollsby industry—Continued
1972SIC
Code
Average weekly earnings
Hay1979
June1979 1980
Hay1980?
Jane1980 p
Average houriy Mrningi
Hay1979
June1979 1980
Hay1980p
June1980P
505506507508509
51511512513514516617518
519
52-59
52
521525
53531533539
54541546
551,2553554
56561562565566
571572573
59591594596598599
60602
61612614
63631632
WHOLESALE TRADE-DURABLEGOODS—ContinuedMetals and minerals, except petroleumc l t f C t T I C f t l Q O O Q S • • • • • • • • • • • • • • • • • •
Hardware, plumbing, and heating equipment..Machinery, equipment, and suppliesMiscellaneous durable goods
WHOLESALE TRADE-NONDURABLE GOODSPaper and paper productsDrugs, proprietaries, and sundriesApparel, piece goods, end notionsGroceries and related productsChemicals and allied productsPetroleum and petroleum productsBeer, wine, and distilled beveragesMiscellaneous nondurable goods
RETAIL TRADE
BUILDING MATERIALS AND GARDENSUPPLIESLumber and other building materialsHardware stores
GENERAL MERCHANDISE STORESDepartment storesVariety storesMisc. general merchandise stores
FOOD STORESGrocery storesRetail bakeries
AUTOMOTIVE DEALERS AND SERVICESTATIONS .. .New and used car dealersAuto and home supply storesGasoline service stations
APPAREL AND ACCESSORY STORESMen's and boys'clothing and furnishings . . . .Women's ready-to-wear storesFamily clothing storesShoe stores
FURNITURE AND HOME FURNISHINGSSTORESFurniture and home furnishingsHousehold appliance storesRadio, television, and music stores
EATING AND DRINKING PLACES*
MISCELLANEOUS RETAILDrug stores and proprietary storesMiscellaneous shopping goods storesNonstore retailersFuel and ice dealersRetail stores, nee
FINANCE, INSURANCE, AND REALESTATE6
BANKINGCommercial and stock savings banks
CREDIT AGENCIES OTHER THAN BANKS ••Savings and loan associationsPersonal credit institutions
INSURANCE CARRIERSUfe insurance •.Medical service and health insuranceFire, marine, and casualty insurance
$291.652*3.71231,77260.eo211. 18
241.04275. 23240.IS212.43242.69266.16300.53271.22199.43
136.50
182.772C3.30143.31
127.31132.73105.77100.61
176.78184.44124.70
158.75240.33191.75136.41
114. 73144. 19101.84111.45120. 12
178.69182.35196.38156.64
89.87
140.24123.C1124.31173.38220.42
187.20
161.28158.40
168.17160.83162.43
208. 88210. 94205.47208.09
$292.07248.57233.14263.06214.63
243.59270.41249.48217.71244.34296.56304.04279.00199.40
139.50
188.21207.83145.59
130.80136.65107.40103.55
182.41190.57129.35
201.85241.96194.40140.70
117.41146.45103.13114.26124.20
183.02187.09200.38161.32
91.58
142.65126.23129.89176.69222.91149.52
188.08
162.54159.64
169.36162.81164.42
208.50207.92205.50208.29
$317.20274.00247.56277.14222.34
262.27291.20267-12228.23261.06320.66349.46286.41216.40
142.56
190.17209.44153.64
135.46140.71113.19109.53
185,12192.20134.90
208.50246.62208.79153.08
119.28154.40106.13113.98122.80
185.80190. 16194.86169.32
94.^9
148.15129.36134.98185.08237.99154.63
205.62
175.93172.56
1€4.37176.54176.05
232.13240.64226.35225.46
$323.21274.63249.22277.54222.53
265.18289.67269.74229.4 6263.89322.69345.20294.62219.25
144.12
191.57212.85153.10
138.23144.05112.71111.34
188.78196.56135.37
210.37248.14213.27154.96
119.71152.79106.53112.61125.94
185.27190.01196.42167.50
95.20
148.32130.09134,09187.37233.12157.98
205.41
175.81172. 44
183.46174.47176.89
236.50248.06226.48228.02
$145.87
210.76
$7.266.336.026.525.36
6.317.526.425.826.327.197.577.355.18
4.49
4.905.164.24
4.364.533.613.53
5.635.804.30
5.306.214.773.98
3.974.523*693.834.20
5.125.245.444.58
3.43
4.414.024.135.275.744.41
5.20
4.484.40
4.624.484^45
5,605.615.455.67
$7.326.396.046.565.42
6.367.476.^05.906.337.477.627.465.22
4.50
4.945.174.22
4.364.543.583.51
5.635.814.37
5.346.224.804.02
3.984.523.673.864.21
5.175.305.524.57
3.43
4.434.024.195.295.764.49
5.21
.49
.41
.64
.51,48
5.625.655.485.66
$7.997.086.437.075.76
6.928.007.206.276.878.1«8.657.725.65
4.80
5.215.444.60
4.724.923.853.79
6.036.224.62
5.626.495.134.45
4.264.843.994.164.37
5.375.485.524.98
3.67
4.814,434.565.736.234.70
5.68
4*664*78
5.014.854.81
6.196.405.916.11
$8.067.066.497.085.78
6.967.987.336.276.898.198.637.925.68
4.82
5.225.504.57
4.754.953.863.80
6.076.264.62
5.646. 535.244.44
4.264.824.024.C84.45
5.375.465.585.00
3.69
4.804.444.535.736.204.73
5.69
4.874.79
5.044.864.90
6.296.465.966.23
$4.83
5.79
See footnotes at end of table.
136
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 138: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/138.jpg)
ESTABLISHMENT DATAHOURS AND EARNINGS
C-2. Gross hours and earnings of production or nonsupervisory workers1 on private nonagricultural payrollsby industry—Continued
1972SIC
Industry
Average weekly hours
Hay1979
June1979
Apr.1980
May1980 p
June1980 P
Average overtime hour*
Bay1979
June1979
Apr,1980
May1980 p
June1980
WHOLESALE TRADE-DURABLEGOODS—Continued
505 Metals and minerals, except petroleur506 Electrical goods507 Hardware, plumbing, and heating equipment
Machinery, equipment, and supplies509 Miscellaneous durable goods
51 WHOLESALE TRADE-NONDURABLE GOODS511 Paper and paper products512 Drugs, proprietaries, and sundries513 Apparel, piece goods, and notions514 Groceries and related products516 Chemicals and allied products517 Petroleum and petroleum products518 Beer, wine, and distilled beverages .519 Miscellaneous nondurable goods
RETAIL TRADE
52 BUILDING MATERIALS AND GARDENSUPPLIES
521 Lumber and other building materials525 Hardware stores
53 GENERAL MERCHANDISE STORES531 Department stores533 Variety stores539 Misc. general merchandise stores
54 FOOD STORES541 Grocery stores546 Retail bakeries
55 AUTOMOTIVE DEALERS AND SERVICESTATIONS
551, 2 New and used car dealers553 Auto and home supply stores554 Gasoline service stations
56 APPAREL AND ACCESSORY STORES561 Men's and boys' clothing and furnishings562 Women's ready-to-wear stores565 Family clothing stores566 Shoe stores
FURNITURE AND HOME FURNISHINGSSTORES
571 Furniture and home furnishings572 Household appliance stores573 Radio, television, and music stores . . . .
EATING AND DRINKING PLACES *" . . . . ,
59 MISCELLANEOUS RETAIL591 Drug stores and proprietary stores594 Miscellaneous shopping goods stores596 Nonstore retailers598 Fuel and ice dealers . . .
Retail stores, nee ,
FINANCE, INSURANCE, AND REALESTATE *
BANKINGCommercial and stock savings banks
61 CREDIT AGENCIES OTHER THAN BANKS612 Savings and loan associations614 Personal credit institutions.
63 INSURANCE CARRIERS631 Life insurance632 Medical service and health insurance633 Fire, marine, and casualty insurance
See footnotes at end of table.
40.238,538.540.039.4
38.236.637.536.538.439.839.736.938.5
30.4
37.339.433.8
29.229.329.328.5
31.431.829.0
37.538.740.234.4
28,931.927.629.128.6
34,934.836.134.2
26.2
31.830.630.132.938.434.4
36.0
36.036.0
36.435.936.5
37.337.637.736.7
39.938,938.640.139.6
38.336.237.836.938.639.739.937.438.2
31.0
3,8.140.234.5
30.030,130.029.5
32.432.829.6
37.838.940.535,0
29.532.428.129.629.5
35.435,336,335.3
26.7
32.231,431.033.438.733.3
36.1
36.236.2
36.536.136.7
37.136.837.536.8
39.738.738.539.238.6
37.936.437.136^438.039.240.437.138.3
29.7
36.538.533.4
28.728.629.428.9
30.730.929,2
37.138.040.734.4
28.031.926.627.428.1
34.634.735,334.0
25.8
30.829,229.632.338.232,9
36,2
36.236.1
36.836.436.6
37.537.638-336.9
40.138.938.439.238.5
38*136.336.836.638.339,440.037.238.6
29.9
36.738.733.5
29.129.129.229.3
31.131.429.3
37.338.040.734.9
28.131.726.527.628*3
34.534.835.233.5
25.8
30.929.329.632.737,633.4
36.1
36.136.0
36.4•35.936.1
37.638.438.036.6
30.2
36.4
137
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 139: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/139.jpg)
ESTABLISHMENT DATAHOURS AND EARNINGS
C-2. Gross hours and earnings of production or nonsupervisory workers1 on private nonagricultural payrollsby industry—Continued
1972SIC
Code
Industry
Hay1979
June1979
Apr.1980
Hay198 OP
June1980 p
Average hourly earnings
Kay1979
June1979
Apr.1980
y P
1980^Jane1980p
721723
73731734737
75753
78781
80
801
802
805
806
SERVICES
HOTELS AND OTHER LODGING PLACES:Hotels, motels, and tourist courts
PERSONAL SERVICES:Laundry, cleaning, and garment servicesBeauty shops
BUSINESS SERVICESAdvertisingServices to buildingsComputer and data processing services
AUTO REPAIR, SERVICES, AND GARAGES . . .
Automotive repair shops
MISCELLANEOUS REPAIR SERVICES
MOTION PICTURES
Motion picture production and services
AMUSEMENT AND RECREATION SERVICES . .
HEALTH SERVICES
Offices of physiciansOffices of dentistsNursing and personal care facilitiesHospitals
LEGAL SERVICES
MISCELLANEOUS SERVICESEngineering and architectural servicesAccounting, auditing, and bookkeeping
$171.28
121. H8
1H0.82127.93
175. 18268.26127.96226. 15
207. 94230.49
252.CO
171*57347.92
150.23
166. 12174.37147.97116. 66181.51
221.75
288.41314.70247.57
$173.71
125.20
141.11127.41
177.89267.90128.51232*21
211.50232.06
253.49
181.66366.66
152.63
168.48175.03148.61118.42185.61
231.19
287.27310.37251.28
$186.30
131,02
149*40123.07
194.50287,74136.90255.57
224.46250.13
263.25
213.29436.19
162.44
180.93164.18157.79126.79200.10
246.70
316.23345.59270.84
$187.02
136.00
150.18129.13
195.87284.89141.27252.05
226-55252.33
273.32
193.84412.41
159.61
182.23186.50160a66127*10201.45
244.46
318.19348.69264.61
$190.60 $5.27
3.97
4.074.14
5.397.394.676.23
5.565.85
6.30
6.659.18
5.11
5.085.305.123.805.37
6.58
7.558.096.56
$5.28
4.00
4.094.11
5.447.364.696.31
5s. 615w92
6.29
6*639.45
4.83
5.095.325.163.825.38
6.76
7.548.026.63
$5.75
4.31
4.424.13
5.938.064.967.06
€.056.43
6.75
7.7C10.77
5.66
5.555.725.464.135.92
7.13
8.308.937.09
$5.79
4.43
4.434.29
5.997.985.107.08
6.096.47
6.85
7.2610.01
5.66
5.595.815.544.145.96
'7.19
8.449.017.21
$5.83
1 For coverage of series, see footnote 1, table B-2.3 Beginning January 1978, data relate to line haul railroads with operating revenues of $50,000,000
or more.3 Data relate to employees in such occupations in the telephone industry as switchboard operators;
service assistants; operating room instructors; and pay-station attendants. In 1977. such employees madeup 20 percent of the total number of nonsupervisory employees in establishments reporting hours andearnings data.
4 Data relate to employees in such occupations in the telephone industry as central office craftpersons; installation and exchange repair craft persons; line, cable and conduit craft persons; andlaborers. In 1977, such employees made up 37 percent of the total number of nonsupervisory em-ployees in establishments reporting hours and earnings data.
5 Money payments only;'tips, not included.6 Data for nonoffice sales agents excluded from all series in this division.* Not available.p = preliminary.
NOTE: In accordance with usual practice, BLS has revised establishment survey datato reflect a new benchmark and updated seasonal adjustment factors. Because ofthese revisions, establishment data in this table may differ from data published earlier.See article in this issue for additional information.
138
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 140: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/140.jpg)
ESTABLISHMENT DATAHOURS AND EARNINGS
C-2. Gross hours and earnings of production or nonsupervisory workers1 on private nonagricultural payrollsby industry—Continued
1972SIC
Industry
Average weekly hours
Hay1979
June1979
Apr.1980
Hay198CP
June198CP
Average overtime hours
Hay1979
June1979
Apr.1980
Hay1980 P
June1980
701
721723
73 •731734737
75753
78781
80
801
802
805
806
SERVICES
HOTELS AND OTHER LODGING PLACES:Hotels, motels, and tourist courts
PERSONAL SERVICES:Laundry, cleaning, and garment services . . .Beauty shops
BUSINESS SERVICESAdvertisingServices to buildingsComputer and data processing services
AUTO REPAIR, SERVICES, AND GARAGES
Automotive repair shops
MISCELLANEOUS REPAIR SERVICES
MOTION PICTURES
Motion picture production and services . . . .
AMUSEMENT AND RECREATION SERVICES
HEALTH SERVICES
Offices of physiciansOffices of dentistsNursing and personal care facilitiesHospitals
LEGAL SERVICES
MISCELLANEOUS SERVICESEngineering and architectural servicesAccounting, auditing, and bookkeeping . . . .
32.5
30.6
34.630.932.536*327.436.3
37.439.4
40.0
25.837.9
29.4
32.732.928.930.733,-8
33.7
38.238.937.8
32.9
31.3
34.531.0
32.736. 427.436.8
37.739.2
40.3
27.438.8
31.6
33.132.928.831.034.5
34.2
38.138.737.9
32.4
30.4
33.829.8
32.-835.727*636.2
37.138.9
39.0
27.740.5
28.7
32.632.228.930.733.8
34.6
38.138.738.2
32.3
30.7
33-930.1
32.735.727.735.6
37.239L.0
39,9
26.741.2
28.2
32.632.129.03Q.733.8
34.0
37.738.736.7
32,7
139
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 141: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/141.jpg)
ESTABLISHMENT DATAHOURS AND EARNINGS
C-3. Employment hours, and indexes of earnings In the Executive Branch of the Federal Government
(Employment in thousands-indudes both supervisory and nonsupervisory emptoyMsl
Item
Total employmentAverage weekly hours
Average overtime hours . . .Indexes (1967-100):
Average weekly earnings . .Average hourly earnings . . .
Total employmentAverage weekly hours
Average overtime hours . . .Indexes (1967-100):
Average weekly earnings . .Average hourly earnings . . .
Total employmentAverage weekly hours
Average overtime hours . . .
Average weekly earnings . .Average hourly earnings . . .
Total employmentAverage weekly hours
Average overtime hours . . .
Indexes (1967=100):Average weekly earnings . .Average hourly earnings . . .
1979
Av* . Jan. Feb. Mar. Apr. M a y June July Aug. Sept. Oct. Nov. Dec.
Executive Branch
2,719.839.5
1.2
245.5244.9
2677. 539.7
1.2
243.2241.4
2,686.339.7
1. 1i
242.4240. 5
2,688.339.5
1. 1
240.6240.0
2,697.439.5
1.1
239.8239.2
2, 720. 339.4
1.0
238.9238.9
2, 770.239.4
1.0
238.6238.6
2,783.039.8
1.2
241.3238.9
2,789-639.5
1.2
242.5241.9
2, 697.839.4
1.4
244.6244.6
2,702.739. 3
1. 4
254. 5255. 1
2,707.039.7
1.3
259.5257.6
2,717.239. 5
1.4
261.5260.8
Department of Defense
895.439-9
. 9
238. 5240.9
896.039.9
. 8
234.7237. 1
895.039.9
.9
234.7237. 1
892.039.9
. 9
235.2237.6
890.039.9
. 8
234.4236.8
896.639.9
. 8
235.2237.6
906.639.9
. 8
233.6236.0
908.540.1
. 8
233.4234.6
908.540.0
.9
234.5236.2
887.240.0
1.2
238.0239.8
887.838.9
9
240.4249.0
888.040.0
1. 1
252.3254.2
889.040.0
1.0
254.0255.9
Postal Service
660. 940. 5
1.9
283. 1269.8
1, 163.438.7
1. 1
230.8231.4
653.041.2
2 . 6
280.8263. 1
1, 128. 538.7
. 9
229.9230.4
655.241.0
1.8
276.9260.7
1, 136. 138.8
1.0
229.7229.7
655.440.2
1.6
271.5260.7
1, 140. 938.8
1.0
227.7227.7
655.040.2
1.7
271.8261.0
1, 152.438.8
1.0
226.7226.7
659. 539.8
1.3
268.1260.1
Oi
1, 164.238.8
1.1
226.0226.0
663.239.6
1.3
274.0267.1
665.440.6
1.8
281.2267.4
imAga**.,
1, 200. 438.8
1.0
223.3223.3
1, 209. 139.2
1.2
226.6224.3
665.439.9
1.5
283. 0273.8
1,215.738.9
1.2
227. 1226.5
659.040.0
1.9
286.2276.2
1. 151.638.7
1.4
228.4229.0
653. 741. 6
2. 3
300.6279.0
1, 161.238.7
1. 2
243.2243.8
673.041. 1
2. 1
296. 1278.0
1, 146.038.5
1. 0
244.4246.3
673. 540.7
2 . 7
305.7289.9
1, 154.738.3
.9
243.6246.8
NOTE: The hours and earnings averages presented in this table have been computed using datacollected by the Office of Personnel Management from agencies with 2500 or more employees in theExecutive Branch of the Federal Government; the data cover both salaried workers and hourly paidwage-board employees. Since these averages relate to hours and earnings of all workers both super-
visory and nonsupervisory, they are not comparable to similar data presented in table C-2 which relateonly to production or nonsupervisory workers. The total employment levels shown include allworkers in the Executive Branch regardless of the size of the agency.
C-4. Average hourly earnings excluding overtime of production workers on manufacturing payrolls by industry
Major industry group
Average hourly earnings excluding overtime'
Hay1979
June1979 1980
June19801
MANUFACTURING
DURABLE GOODSLumber and wood productsFurniture and fixturesStone, clay, and glass productsPrimary metal industriesFabricated meta! productsMachinery, except electricalElectric and electronic equipmentTransportation equipmentInstruments and related productsMiscellaneous manufacturing industries
NONDURABLE GOODSFood arid kindred productsTobacco manufacturesTextile mill productsApparel and other textile products . .Paper and allied productsPrinting and publishingChemicals and allied productsPetroleum and coal productsRubber and misc. plastics products . . .Leather and leather products
$6.37
6.785.714.866.428.446.516.926.028.095.944.88
5.705.946.734.344.136.626.647.198.925.664.10
$6.40
6.825.884.926.488.496.557.006.05
. 8.115.954.86
5.725.936.714.354.146.696.687.248.895.684.09
$6.85
7.316.095.277.039.197.037.516.618.736*465.25
6.156.477.614.714.407.277.117.819.416.124.43
$6.91
7.376.215.327.149.337.097.616.628.776.545.29
6.226.527.544.734.397.317.237.889.686.174.43
$6.96
7.44
6.26
' Derived by assuming that overtime hours are paid at the rat* of time and one-half,
p « preliminary.
NOTE: In accordance with usual practice, BLS has revised establishment survey datato reflect a new benchmark and updated seasonal adjustment factors. Because ofthese revisions, establishment data in this table may differ from data published earlier.See article In this issue for additional information.
140
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 142: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/142.jpg)
ESTABLISHMENT DATAHOURS AND EARNINGS
C-6. Gross and spendable average weekly earnings of production or nonsupervisory workers1
on private nonagrteurtural payrolls by industry division, in current and 1967 dollars
Industry
Grots average weekly earnings
May1979
Apr.1980
flayp1980
Spendable average weekly earnings2
Worker with no dependents
Bay1979
Apr,1980
Mayp1980
Married worker with 3 dependents
Bay1979
ipr.1980
BayP1980
TOTAL PRIVATE:Current dollars1967 dollars
MINING:Current dollars1967 dollars
CONSTRUCTION:Current dollars1967 dollars
MANUFACTURING:Current dollars1967 dollars
TRANSPORTATION AND PUBLIC UTILITIES:Current dollars1967dolfars
WHOLESALE AND RETAIL TRADE:Current dollars1967 dollars
FINANCE, INSURANCE, AND REAL ESTATE:Current dollars1967 dollars
SERVICES:Current dollars1967 dollars
$215.84100.72
361.2*168.57
341.30159.26
265.86124.06
315.22147.09
162.3275.7H
187.2087.35
17'1.2879.93
$228.5594.21
389.48160.54
355.62146.59
279.35115.15
344.05141.82
171.7270.78
205.6284.76
186.3076. 79
$229.6093.68
386.38157.64
360.14146.94
230.21114.32
342.30139.66
172.9070.54
205.4183.81
187,0276.30
$175.0381.68
2 72.93127.36
260.20121.42
210.3298.14
243.54113.64
135.6263.29
154.1671.94
142,3366.42
$184.2575.95
290.16119.60
269.34111.02
219.4990.47
261.95107.98
142.6658.80
167.5969.08
153.5163.28
5184.9875.47
288.31117.63
272.23111.07
220.0889.79
260.84106.42
143*5458.56
167.4368.31
154.0362.84
$191.6589.43
300.45140.20
285.92133.42
229.74107.20
266.91124.55
f52.3771.10
169.9979.32
159.3574.36
S201.4383.03
320.88132.27
296.35122.16
239.9798*92
287.92118.68
159.6565.81
183.7075.72
169.4069.83
$202.2382.51
318.71130.03
299.64122.25
240.6398*18
286.64116.95
160.4465.46
183.5374.88
169.8769.31
CONSUMER PRICE INDEX FOR URBAN WAGEEARNERS AND CLERICAL WORKERS (CPI-W,AM items. 1967-10W 214.3 242.6 245. 1
1 For coverage of series, see footnote 1, table 8*2.2 Spendable earnings are calculated by taking the average weekly pay for all production
or nonsupervisory jobs, both full-time and part-time, and then deducting social security andFederal income taxes applicable to a single worker or to a married worker with three depen-dents who earned this amount (see Explanatory Notes for the establishment data in the back ofthis publication). A technical note on the calculation and uses of the spendable earnings seriesis available on request.
preliminary (applicable to earnings data only).
NOTE: In accordance with usual practice, BLS has revised establishment survey datato reflect a new benchmark and updated seasonal adjustment factors. Because ofthese revisions, establishment data in this table may differ from data published earlier.See article in this issue for additional information.
141
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 143: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/143.jpg)
ESTABLISHMENT DATAHOURS AND EARNINGS
C-6. Indexes of aggregate weekly hours and payrolls of production or nonsupervisory workers1 on private nonagricuttural payrollsby industry division and major manufacturing group
[1967=100]
Industry division and group
Hay1979
June1979
Apr.1980
Hours
y p198(T 1980
TOTAL PRIVATE
GOODS-PRODUCING
MINING
CONSTRUCTION
MANUFACTURING
DURABLE GOODSLumber and wood productsFurniture and fixturesStone, clay, and glass productsPrimary metal industriesFabricated metal productsMachinery, except electricalElectric and electronic equipmentTransportation equipmentInstruments and related productsMiscellaneous manufacturing industries
NONDURABLE GOODSFood and kindred productsTobacco manufacturesTextile mill products . . . '.Apparel and other textile productsPaper and allied productsPrinting and publishingChemicals and allied productsPetroleum and coal productsRubber and misc. plastics productsLeather and leather products
SERVICE-PRODUCING
TRANSPORTATION AND PUBLICUTILITIES
WHOLESALE AND RETAILTRADE "...
WHOLESALE TRADERETAIL TRADE
FINANCE, INSURANCE, ANDREAL ESTATE
SERVICES....
125 .1
109.8
152.2
130,3
10ft. 6
109.0115.5106.7114.299.0
106.3117.2108.1105.7127.797.ft
98.392.869.589 .ft89.8
100.6102.5107.5122.ft152.068.1
135.8
112.7
130.0
132.9128.8
14ft. 1
152.1
128.2
112.9
157.7
139.6
106.6
110.7120.6108.5117*5100.9108.6119.1110.7103.5129.510C.8
100.696.969. ft91.59K7
103.6103.0109.2124.5153.5
70.8
1<38.9
116.5
132.1
135.2131.7
146.9
155. ft
123.2
103.1
160.6
119.6
98.2
100. ft93.1
10ft.3102.290.1
100.1115.3106.88ft. 0
127.39ft.ft
95.087.96ft.388.388.399.0
103.9107.6
90.5137.9
65.0
137.1
112.7
128.3
133.1126.5
148.7
157.0
123.3
102.2
162.9
126.1
95.9
96.890.997.3
10*1.083.095.6
113.4103.080.3
126.392.1
9*4.690.463.986.787.996.5
103.4106.5114.4128.165.6
137.9
112.6
129,6133.2128.1
149.8
157.6
124.7
103.1
167.1
133.5
95.5
95.694.094.3
101.179-693.8
111*5101.080.4
128.590.6
95.493.066.285.590.197.3
102.8105.6118.0127.167.5'
139.7
115. 0<
130.7
134.1129.4
153.4
159.6
' For coverage of series, see footnote 1, table B-2.
p = preliminary.
NOTE: In accordance with usual practice, BLS has revised establishment survey datato reflect a new benchmark and updated seasonal adjustment factors. Because ofthese revisions, establishment data in this table may differ from data published earlier.See article in this Issue for additional information.
142
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 144: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/144.jpg)
ESTABLISHMENT DATAHOURS AND EARNINGS
C-6. Indexes of aggregate weekly hours and payrolls of production or nonsupervisory workers1 on private nonagricuttural payrolls
by industry division and major manufacturing group—Continued
[1967=100)
Industry division and group
Bay1979
June
1979
Apr.1980
Hay1980P 1980 p
TOTAL PRIVATE.
GOODS-PRODUCING.
MINING .
CONSTRUCTION
MANUFACTURING .
DURABLE GOODSLumber and wood productsFurniture and fixturesStone, clay, and glass productsPrimary metal industriesFabricated metal productsMachinery, except electricalElectric and electronic equipmentTransportation equipmentInstruments and related productsMiscellaneous manufacturing industries
NONDURABLE GOODSFood and kindred productsTobacco manufacturesTextile mill productsApparel and other textile products .Paper and allied productsPrinting and publishingChemicals and allied productsPetroleum and coal productsRubber and misc. plastics products .Leather and leather products
SERVICE-PRODUCING
TRANSPORTATION AND PUBLICUTILITIES.
WHOLESALE AND RETAILTRADE
WHOLESALE TRADERETAIL TRADE
FINANCE, INSURANCE, ANDREAL ESTATE
SERVICES
283.9
259.4
403.9
290.1
245.8
257.4290.9228.6.274.6262.0242.4266.2242.5263.5274.0207.3
226.1218.7206.8196.8185.5244.2214.8259.3321.1326.5137.7
305.1
276.5
289.0
291.0287.9
289.7
350.5
292.5
268.4
420-5
310.2
251.6
263. 0213.3?36.0285.7269.0249.2274.0249.9257,1278.4214.2
232.3228.3208.3202.2190.1254.8217.2265.4324.0330.5143.2
313,4
288.8
296.1
298.3294. 8
296.5
358.2
300.2
259.8
458.7
281.8
246.4
253.1247.0241.8265.9257.0244.2282.6261.5221.0296.3215.8
235.0224. 9220.9210.8193.9262.9232.5281.5248.7316.6142.2
335-0
303.6
307.8
317.7302.3
327.0
394.7
301.8
259.9
463.1
299.1
241.9
245.2245.7226.5266.6238.6234.7280.8251.8211.7297.7211.4
236*3233.8216.4206*7192.6256.6234.9279.9323.7295.7143,5
337.9
303.2
311*5
319.1307.2
330.1
398.8
307.7
264.7
475.5
317.7
242.8
244.5260.4221.5269.6229.6232.3277.7249.7216.2302.8209.6
239.8240.7234.6204.8199.6262.1233.9280.2333.7297.4148.3
344.8
311.2
315.6
324.0310.9
343.5
143
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 145: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/145.jpg)
ESTABLISHMENT DATASEASONALLY ADJUSTED HOURS
C-7. Average weekly hours of production or nonsupervisory workers1 on privated nonagricuttural payrolls
by industry division and major manufacturing group, seasonally adjusted
Industry
TOTAL PRIVATE
MINING 2
CONSTRUCTION
MANUFACTURING
Overtime hours . .
DURABLE GOODS .
Overtime hours
Lumber and wood productsFurniture and fixturesStone, clay, and glass productsPrimary metal industriesFabricated metal productsMachinery except electricalElectric and electronic equipmentTransportation equipmentInstruments and related productsMiscellaneous manufacturing ind
NONDURABLE GOODS
Overtime hours
Food and kindred productsTobacco manufactures . . .Textile mill productsApparel and other textile productsPaper and allied products
Chemicals and allied productsPetroleum and coal productsRubber and misc plastics productsLeather and leather products
TRANSPORTATION ANDPUBLIC UTILITIES2
WHOLESALE AND RETAILTRADE
WHOLESALE TRADERETAIL TRADE
FINANCE, INSURANCE, ANDREAL ESTATE 2
SERVICES
1979
June
35.6
43.2
37.2
40.1
3.3
40.6
3.5
39.U38.541.441.240.641.840.240.740.638.8
39.2
3.0
39.838.040.235.242.537.541.743.440.636.4
40.1
32.6
38.830.6
36.1
32.7
July
35.6
41.7
36.9
40.1
3 . 3
40.7
3.5
39.338.541.441.340.741.840.241.040.839.0
39.2
3.0
39.838. 140.335.342.537.541.843.640.6.36.6
40.0
32.6
38.830.6
36.2
32.8
log. .
35.7
43.1
37.3
40. t
3 . 3
40.7
3.4
39.638.641.441.040.641.639.941.540.638*9
39.3
3.1
39.838. 140.3'35; 342; 637.841.943.640.236.5
40.3
32.6
38,830-6
36.1
32.7
Sept.
35.6
43.4
37.5
40.1
3 . 2
40.7
3.3
39.638.741.541.140.741.740.340.640.739.0
39.3
3.1
40.038.440.735-242.537.541.844.040.336.8
39.9
32.6
38.830.6
36.1
32.7
Oct.
35.6
43.7
36.8
40.1
3 .2
40.7
3.3
39.238.8411341-140.841.540.34U040.738.9
39.3
3.1
39.938.340.835.442.637.441.743.540.236.5
40.0
32.6
38.830*6
36.2
32.6
WOT.
35.6
43.,6
37.0
40.1
3.3i
40.6
3.3
38.938.94*1.440.840.741.540.440.541.038.9
39.4
3.2
39.937.841.035.342.737.542.044.440.036.6
40.2'
32.6
38.930.6
36.3
32.7
Dec.
35.7
43.9
37.2
40.2
3 . 2
40.7
3.2
39.038.941.540.740.S41.540.540.941.039.0
39.4
3. 1
39.938.541.035.642.837,441.84*3*440.037.0
40.0
32.6
38.930.6
36.4
32.8
Jan.
35.6
43.4
37.3
40.3
3 . 2
40.8
3.3
39.439.241.440.840.941.640.540.941.439.2
39.5
3.1
39.838.541.536.043.037.842.036.940.737.2
39.5
32.6
38.930.6
36.2
32,7
Feb.
35.5
43.2
37.1
40.1
3 . 0
40*6
3.1
39.139.041.240.840.841.540.3'40.840.939.1
39.4
2.9
39.737.941.135.942.937.441.940.740.037.2
39.4
32.4
38.830.4
36.3
32.7
198C
Bar.
35.4
43.4
36.6
39.8
'3 .1 1
40.3
3.2
38.738.540.940.740.741.340-.-040.440.438.6
39.0
3.0
39.337.740.835.342.637.241.839.739.936.9
39.5
32.3
38.530.3
36.3
32.7
Apr.
35.3
42.8
36.7
39.8
3 . 0
40.3
3.0
37.338.540.640.640.841.539.940.540.738.5
39.1
3.0
39.638.240.335.842.537.241.541.140.137.3
39.5
32.0
38.530.0
36.2
32.6
Hay P
35.1
42.6
36.8
39.3
2.5
39.7
2.4
37.537.640.339.239.941.039.539.640.338.3
38.9
2.7
39.937.839.735.341.737...141.542.739.336.7
39.3
32.1
38.630.1
36.1
32.5
June p
35.0
43.3
37.0
39.1
2.4
39.5
2.4
37.437.140.439.039*740.739.139.540.638.0
38.6
2.5
39.538.239.135.241.636.941.142.639.537.0
39.8
31.9
38.429.8
36.4
32.5
1 For coverage of series, see footnote 1, table B-2.3 See footnote 1, table B-5.p - preliminary.
NOTE: In accordance with usual practice, BLS has revised establishment survey datato reflect a new benchmark and updated seasonal adjustment factors. Because ofthese revisions, establishment data in this table may differ from data published earlier.See article in this issue for additional Information.
144
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 146: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/146.jpg)
ESTABLISHMENT DATASEASONALLY ADJUSTED
C-8. Indexes of aggregate weekly hours of production or nonsupervisory workers1 on private nonagricultural payrolls
by industry division and major manufacturing group, seasonally adjusted
11967-100}
Industry division and group
TOTAL PRIVATE
GOODS-PRODUCING
MINING
CONSTRUCTION
MANUFACTURING
DURABLE GOODSLumber and wood productsFurniture and fixturesStone, clay, and glass productsPrimary metal industriesFabricated metal productsMachinery, except electricalElectric and electronic equipmentTransportation equipmentInstruments and related productsMiscellaneous manufacturing ind
NONDURABLE GOODSFood and kindred productsTobacco manufacturesTextile mill productsApparel and other textile productsPaper and allied productsPrinting »nd publishingChemicals and allied productsPetroleum and coal productsRubber and misc. plastics productsLeather and leather products
SERVICE-PRODUCING
TRANSPORTATION AND PUBLICUTILITIES
WHOLESALE AND RETAILTRADE
WHOLESALE TRADERETAIL TRADE
FINANCE, INSURANCE, ANDREAL ESTATE
SERVICES
1979
Jane
125.6
109.5
154.5
128-7
10*. 6
108.4114.1107.7111.998.3
106-5118.3109.2100.9127.598.9
99,097.476. 189.388.7
101.0103.1107.6120-7150.867.2
136.8
115.3
130.6
133-4129.5
145-3
152.8
July
125.8
109.4
150.8
128. 2
104.7
108.5113.7108-3111.398.1
106.2118.8109.4101.2127.899.4
99.2S6.974.989.589.6
101.7104.0107.5121.2151.0
64.1
137.1
114.7
130.8
133-4129.7
146. 1
153.6
Aug.
125.9
109.3
157»6
129.7
1C4.0
1C7.5114.4108.6111.396.6
104.7117.4106.31C2.1127.599.4
98.896.873.689.288.3
101.81C4.81C7.6121.2147.8
66.1
137*5
116.1
131. 1
133.6130.1
146.6
153.4
Sept.
126.0
109.5
159.4
130.5
104.1
107.8114.7108.6111.496.0
105.8118.5109.099.4
127.599.1
98.796-575.589.987.7
101.5104.3107.5123.2147.066.7
137.5
115.0
131.4
133.8130.*
146.3
153.8
Cct.
126.1
109.1
160.9
128.5
103.8
107.1113.9109.1110.495.4
105.9115.7109.498.5
127.898.6
99-197.375.390.688.5
102.0104.5107.6121.9146.666.5
137.9
115.$
131.8
134.3130.9
147.0
154.0
Nov.
126.4
108.7
160.8
129-7
103.2
106.0111.0109.4110.194.1
105.6114.9109.295.5
128.298.6
99.197,565.091.287.8
102.0105.6108.5124.4144.S66.0
138.7
116.6
132.3
135.1131.2
147.7
155.0
Dec.
126.8
109.4
162.5
132.8
103.5
106.4109.4109-1110.492.9
105.7114.4110.498.3
128.899.4
99.297.670.391.588.5
102.1105.2108.2122.4143.466.4
138.8
115.8
132.2
135.0131.0
148.2
156.0
1980
Jan.
127.1
110.1
162.0
137.7
103-4
106.0109.8109.7110.392.7
104.8118.5110.891.7
130.099.3
99.796.971.792.790-3
102.9106.9109.01C4.9145.766.4
138.9
114.0
132.6
135.4131.5
148.2
156.4
Peb.
126.9
109-1
162.1
134.7
102-8
105-8108.9108.9109.692-4
104.9117-510S.893.8
129.198.2
98-496*270-591.690.5
102.5105.9108.475.7
142-266.4
139.2
113-7
132-7
135.6131-5
149.3
157.2
Bar.
126.0
107.3
162.9
126.9
101.8
105.0106.5106-9108.091.8
104.6116.9109.493.0
128.796.9
97.394.670.291.089-2
101.6105-1108,071.4
141.465.6
139.0
113.9
131.8
134.5130.7
149.6
157.6
Apr.
124.8
105.2
161.7
124.7
99.8
101.695.3
106.1103.589.9
102.1116.1108.185.0
128.495.8
97-294-472.489.489-3
100.4104.8107.491.6
139.966.0
138.3
113.5
130.4
134.1128.9
149.4
157.6
Hay P
123.4
102.1
162.6
124.4
96. 1
96.690-798.799.482.295.5
114. 1103.978.7
126.391,9
95.494.971.786.287.296.5
103.6106.2114.4129.063.6
138.2
112.4
130.3
133-6129. 1
149.8
157.5
June?
122.2
100.1
164.0
123.1
93.8
93.789.193.596.677f691.9
110.9
99.978.7
126.688.6
93.993.572.483»287.294-8
102.9104.0114.1125.163.8
137.5
113.7
128.5
132.2127. 1
151.6
156.7
1 For coverage of series, see footnote 1. table B-2.
p» preliminary.
NOTE: In accordance with usual practice, BLS has revised establishment survey datato reflect a new benchmark and updated seasonal adjustment factors. Because ofthese revisions, establishment data in this table may differ from data published earlier.See article in this issue for additional information.
145
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 147: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/147.jpg)
ESTABLISHMENT DATA
SEASONALLY ADJUSTED
C-9. Hourly Earnings Index and average hourly and weekly earnings of production or nonsupervisory workers1
on private nonagricultural payrolls, seasonally adjusted
Industry
TOTAL PRIVATE (In current dollars)
MININGCONSTRUCTIONMANUFACTURINGTRANSPORTATION AND
PUBLIC UTILITIESWHOLESALE AND RETAIL
TRADE . . .FINANCE. INSURANCE, AND
REAL ESTATESERVICES
TOTAL PRIVATE (In 1967 dollars). . . . . .
TOTAL PRIVATE
MINING 4
CONSTRUCTIONMANUFACTURINGTRANSPORTATION AND
PUBLIC UTILITIES ̂WHOLESALE AND RETAIL '
TRADEFINANCE, INSURANCE. AND
REAL ESTATE 4
SERVICES
TOTAL PRIVATE:
Current dollars1967 dollars 3
Real spendable earnings (married worker with3 dependents. 1967 dollars) 3. .5.
1979
Jane July Aug. Sept. Oct. Hov. Dec. Jan. Feb.
1980
Bar. Apr. Bay P Junep
Hourly Earnings Index a (1967=100)
229.1
263.4220.5234.1
247.0
222.6
208.4226.0
105.9
230.8
265.0222.2235.7
249.9
223.8
210.2227.4
105.5
232.2
264.8223.2236.8
252.5
225.5
211.5228.8
105.1
234.2
265.5224.5238.5
255.1
227.0
214.0231.5
104.8
234.9
267.6224.6239.9
255.9
227.3
212.9232.4
104.1
237.2
272. 1226.5241.9
258.8
229.5
215.7234.9
104.1
239.4
274.7228.2244.1
260.2
231.4
217.9237.7
103.8
240.4
277.1225.7
245.1
26 0.8
234.8
218.3237.7
102.7
242.5
278.6229.8247.9
262.5
235.5
221.2
239.6
102.3
245.3
280.9232.2250.2
266.0
238.0
225.7242.8
102.6
246.2
283.7
233.0252.4
267.2
238.0
224.9243.0
101.4
248.2
283.7233.8254.9
268.4
239.7
225.9245.7
101.3
250.7
284.1234.9257.6
270.7
241.4
231.0249.0
Average hourly earnings
$6.138.509.216.69
8.02
5.05
5.215.33
$6.178.549.296.73
8.19
5.07
5.285.36
$6.228.509.336.75
8.31
5.11
5.285.40
$6.268.599.396.79
8.44
5.13
5.375.45
$6.288.599.406.82
8.43
5.15
5.355.47
$6.348.739.486.87
8.51
5.20
5.415.54
$6.398.759.556.91
8.54
5.23
5.4 85.60
$6.418.889.466.93
8.55
5.28
5.535.60
$6.458.909,646.99
8.58
5.31
5.605.64
$6.518.959.757.06
8.62
5.37
5.685.72
$6.549.109.797.11
8.71
5.38
5.685.72
$6.579.079.827.15
8.71
5.42
5.695,78
$6.639.079.877.20
8.76
5.46
5.795.88
Average weekly earnings
218.23100.85
89.43
219.65
100. 43
88.99
222.C5100.52
88.95
222.8699.76
88.24
223.5799.10
87.61
225.7099.03
87.44
228 . 1298.88
87. 17
228.2097.52
85.97
228.9896.53
85.06
230.4595.82
84.35
230.8695.08
83 .68
230.6194.16
82 .89
232.05
-
1 For coverage of series, see footnote 1, table B-2.2 The index excludes 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 overtimedata are available) and-the effects of changes in the proportion of workers in high-wage and low-wageindustries.
3 The CPI-W is used to deflate these series to 1967 dollars.
4 See footnote 1, table B-5.
5 See footnote 2, table C-5.
^preliminary.
NOTE: See note to table C-10.
C-10. Hours of wage and salary workers1 in nonagricukural establishments by industry division
Industry division
MHHom of hours (Annual rate):
APRIL1979
MAY1980
JUNE1980
June 1979to
June 1980
April 1980to
May 1980
May 1980
toJune 1980
TOTAL . . .PRIVATE SECTOR
MININGCONSTRUCTIONMANUFACTURING
DURABLE GOODSNONDURABLE GOODS
TRANSPORTATION AND PUBLIC UTILITIESWHOLESALE AND RETAIL TRADEFINANCE, INSURANCE, AND REAL ESTATESERVICES . . .
GOVERNMENT
170,489138,361
2,2808.516
42,83626,15816,67910,71134,3949,647
29,97632,129
169,553137,297
2,283
8,53141,79925,29116,50810,62434,3879,680
29,99332,256
168,448136,092
2,295
8,53340,97524,71716,25910,58434,0469,780
29,87932,356
-1.0-1.87.4
-2.6-7.0-9.1-3.8-1.1-1,14.62.62.4
-0.5-0.80.1
0.2-2.4-3.3
-1.0-0.80.00.30.10.4
-0.7-0.90.5
0.0-2.0-2.3-1.5-0.4-1.01.0
-0.40.3
De c refer to hours of all employees—production workers, nonsupervisory workers andsalaried workers—and are based largely on establishment data. See BLS Handbook of Method*for Surveys and Studies, BLS Bulletin 1910—Chapter 30, Productivity IEconomy and Major Sectors.
3 "Annual rate" refers to total hours paid for 1 weak in the month, expressed as a sea-sonally adjusted annual equivalent.
NOTE: In accordance with usual practice, BLS has revised establishment survey datato reflect a new benchmark and updated seasonal adjustment factors. Because ofthese revisions, establishment data in this table may differ from data published earlier.See article in this issue for additional information.
146
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 148: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/148.jpg)
PRODUCTIVITYSEASONALLY ADJUSTED
C-TI. Induces of output and compensation par hour, unit costs, and prices,private business sector, seasonally adjusted
[1967-100]
1978 1979
Quarterly indexes
1977
III IV
1978
I I I I I IV
1979
I I I I I
1980
PRIVATE BUSINESS SECTOR:
Output per hour of all persons . . .
Output
Hours
Compensation per hour
Real compensation per hour
Unit labor costs
Unit nonlobor payments
Implicit price deflator
NONFARM BUSINESS SECTOR:
Output par hour of all parsons . . .
Output
Hours
Compensation par hour
Raal compensation par hour
Unit labor corn
Unit nonlabor payments
Implicit price deflator
MANUFACTURING:
Output par hour of all parsons . . .
Output
Hours
Compensation par hour
Raal compensation par hour . . . .
Un !t labor costs
DURABLE GOODS
Output par hour of all parsons . . .
Output
Hours
Compensation par hour
Raal compensation par hour . . . .
Unit labor costs
NONDURABLE GOODS
Output per hour of all parsons . . .
Output
Hours
Compensation par hour
Raal compensation par hour . . . .
Unit labor costs
NONFINANCIAL CORPORATIONS:Output par all-employee hour . . .
Output
Hours
Compensation par hour
Raal compensation per hour
Total unit costs
Unit labor costs
Unit nonlabor costs
Unit profits
Implicit price deflator
119.3140.7118.0231.5118.5194.0174.3187.2
117.0141.5121.0227.6116.5194.6169.9186.1
128.3134.5104.8230.2117.8179.4
121.7129.6106.5231.7118.6190.4
139.3142.3102.1226.7116.0162.7
118.1150.0127.0225.2115.3193.3190.6201.8127.2183.5
118.3144.1121.8253.2116.4214.0184.4203.8
115.7144.9125.3248.0114.1214.4178.6202.1
129.5138.6107.0251.3115.6194.1
121.7133*8109.9252.6116.2207.5
142.4146.3102.7247.2113.7173.5
117.7154.7131.4245.2112.8210.4208.4216.6127.8198.1
119.6135.2113.1215.6117.8180.2167.9176.0
116.9135.6116.0211.5115.6181.0167.1176.2
128.9129.9100.8214.8117.4166.7
122.8124.4101.3216.8118.5176.6
138.8138.8100.0211.0115.3152.0
117.7142.7121.2209.9114.7182.4178.4194.8130.9174.7
119.0136.1114.3218.8117.9183.9168.5178.6
116.4136.4117.2215.1115.9184.8165.9178.3
128.3130.9102.0218.3117.6170.1
122.3125.6102.7220.3118.7180.2
138.3139.4100.8214.3115.5155.0
116.9143.4122.7213.2114.9186*3182.3198.7122.2176.8
118.5136.9115.5224.5118.8189.4164.8180.9
116.1137.3118.2220.9116.9190.2161.1180.2
126.3130.3103.1223.8118.4177.2
119.5124.6104.2225.4119.2188.5
137,139.101,220.6116.7160.5
116.9144.7123.8218.9115.8190.8187.3201.5107.1178.3
119.1140.3117.8228.8118.3192.1173.9185.8
116.7141.1120.9225.0116.3192.8169.1184.7
127.8133.6104.5227.3117.5177.9
121.5128.5105.7228.7118.3188.2
138.0141.7102.7224.1115.9162.4
118.1149.7126.8222.8115.2191.6188.7200.8129.2182.3
119.8141.8118.3233.9118.3195.2177.0188.9
117.5142.7121.4229.8116.2195.6173.0187.8
129.5135.8104.9232.0117.4179.1
122.9131.3106.9233.3118.0189.9
140.6143.2101.9228.7115.7162.7
118.7151.4
rl27.6227.3115.0194.0191.5201.6132.7184.9
119.9144.0120.1238.7118.1199.0181.2192.9
117.7145.0123.2234.7116.1199.4176.0191.4
129.9138.2106.4237.2117.3182.7
122.9134.1109.1238.8118.1194.2
141.4144.7102.3233.0115.2164.7
119.0154.2129.6231.7114.6196.8194.8203.1138.7188.2
119.0144.4121.4245.1118.0205.9180.8197.2
116.8145.5124.6240.5115.8206.0174.3195.1
128.7139.3108.2243.2117.1189.0
121.5135.4111.4244.7117.8201.3
140.7145.5103.4238.6114.9169.6
118.4155.1131.1237.9114.6202.3201.0206.5130.3191.6
118.4143.4121.2250.6117.1211.7183.6202.0
115.5144.2124.8245.1114.6212.2177.6200.3
129.2138.6107.2248.9116.3192.6
122.0134.2110.0250.3117.0205.1
141.3145.7103.1244.7114.4173.2
117.5154.1131.1242.5113.3208.0206.4213.2129.2196.3
118.0143.8121.9256.0115.9217.0185.5206.1
115.1144.6125.6250.2113.3217.3180.4204.7
130.1138.5106.4253.7114.9195.0
121.8133.2109.4255.1115.5209.5
144.1147.1102.0249.5113.0173.1
117.4154.3131.4247.6112.1213.2210.8220.5127.5200.4
117.9144.8122.8260.6114.3221.1188.2209.7
115.4145.5126.1255.9112.3221.8182.5208.4
129.6138.0106.5259.0113.6199.8
121.3132.4109.2260.6114.1214.3
143.5147.0102.4255.6112.1178.1
117.3155.1132.2252.6110.8218.0215.3226.1124.0204.0
117.6144.8123.1267.6112.9227.5189.8214.5
114.9145.6126.6262.2110.6228.1185.5213.5
128.9137.7106.8265.1111.8205.8
120.0131.5109.6267.3112.7222.7
143.7147.7102.7259.6109.5180.6
117.1155.3132.6258.9109.2224.6221.1235.4118.6208.8
paprelimtnary,r-re vised.
147
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 149: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/149.jpg)
PRODUCTIVITYSEASONALLY ADJUSTED
C-12. Percent changes from preceding quarter and year in productivity, hourly compensation, unitcosts, and prices, private business sector, seasonally adjusted at annual rate
Quarterly percont change
II 1978
toIV 1978
IV 1978
toI 1979
I 197S
to197flll
II 197^111 1979
toIV 1979
to
IV 1979|
toI 198d
Annual percent change
IV 1977
toIV 19781
I 1978
toI 1979
II 1978JIII 1978
toII 1979(111 197q
IV 1978
toIV 1979
I 1979
toI 1980
PRIVATE BUSINESS SECTOR:
Output per hour of all persons . . . .
Output
HoursCompensation per hour
Real compensation per hour
Unit labor costs
Unit nonlabor payments
Implicit price deflator
NONFARM BUSINESS SECTOR:
Output per hour of all persons . . . .
Output
Hours
Compensation per hour . . . %
Real compensation per hour
Unit labor costs
Unit nonlabor payments
Implicit price deflator
MANUFACTURING:
Output per hour of all persons . . . .
Output
Hours
Compensation per hour
Real compensation per hour
Unit labor costs
DURABLE GOODS
Output per hour of all persons . . . .
Output
Hours
Compensation per hour
Real compensation per hour
Unit labor costs
NONDURABLE GOODSOutput per hour of all persons . . . .Output
Hours
Compensation per hourReal compensation per hourUnit labor costs
NONFINANCIAL CORPORATIONS:
Output per all-employee hour
Output
Hours
Compensation per hour
Real compensation per hour
Total unit costs
Unit labor costs
Unit nonlabor costs
Unit prof its
Implicit price deflator
0.36.46.18.5
-0.98.19.98.7
0.86.85.98.8
-0.68.07.37.8
1.07.05.99.3
-0.28.2
0.28.98.79.60.19.4
2.54.31.87.8
-1.55.2
1.17.66.48.1
-1.35.96.92.9
19.57.3
-3.01.24.4
11.1-0.114.6-1.09.3
-3.21.24.6
10.4-0.714.0-3.98.1
-3.63.27.1
10.4-0.714.5
-4.53.98.8
10.3-0.815.4
-2.22.14.4
10.0-1.112.5
-2.12.54.6
11.0-0.111.713.46.8
-22.17.6
-2.2-2.9-0.79.3
-3.111.86.6
10.1
-4.1-3.60.57.9
-4.412.57.8
11.0
1.8-2.0-3.79.8
-2.77.9
1.7-3.6-5.29.6
-2.97.7
1.70.5
-1.210.7-1.9r8.8
-2.9-2.60.38.0
-4.311.811.213.5-3.410.2
-1.41.12.58.8
-4.010.34.28.3
- 1 . 41.22.68.5
-4.310.16.69.0
2.7-0.3-2.98.0
-4.85.2
-0.9-3.0-2.17.9
-4.98.8
8.33.9
-4.18.1
-4.7-0.2
-0.20.60.98.6
-4.310.28.8
14.6-5.38.6
-0.32.83.27.4
-5.47.86.07.2
0.72.51.89.4
-3.78.64.67.4
-1.5-1.40.18.6
-4.410.3
-1.5-2.3-0.87.9
-5.09.6
-1.6-0.21.5
10.1-3.011.9
-0.51.92.48.3
-4.69.38.9
10.6-10.4
7.3
-0.70.00.8
11.2-4.912.03.49.3
-1.40.21*6
10.2-5.811.86.8
10.3
-2.3-0*91.59.8
-6.112.4
-4.2-2.71.5
11.6-4.516.5
0.61.91.36.5
-9.05.8
-0.70.61.3
10.4-5.612.711.117.316.39.8
0.85.85.09.10.18.37.58.0
1.16.35.29.10.17.96.17.3
1.25.64.38.7
-0.37.4
0.66.86.28.4
-0.67.8
2.33.81.58.7
-0.26.3
1.87.55.68.7
-0.25.66.82.2
13.66.4
0.45.55.19.2
-0.68.79.79.0
0.55.95.48.9
-0.98.38.28.3
1.96.94.98.6
-1.16.6
1*78.76.98.6
-1.16.8
2.34.31.98.2
-1.55.7
1.37.25.88.7
-1.16.17.32.5
21.77.5
-0.62.22.89.5
-1.010.25.68.7
-1.02.23.29.0
-1.510.15.08.5
1.23.82.69.5
-1.18.2
0.44.44.09.4
• 1 . 19.0
2.42.80.49.2
-1.36.7
-0.52.93.48.9
-1.68.69.46.20.07.7
•1.61.43.09.4•2.011.24.89.1
-2.01.33.48.9
-2.511.14.39.0
0.41.91.59.3
-2.18.9
-0.91.42.49.3
-2.110.3
2.52.70.29.1
-2.36.4
-1.01.93.08.9
-2.59.9
10.19.4
-3.98.4
-1.70.52.39.2
-3.211.13.98.7
-2.00.32.49*0
-3.311.33.78.9
-0.2-0.10.19.2
-3.29.4
-1.3-1.30.18.9
-3.410.4
1.51*60*19.7
-2.78.1
-1.40*62*09.0
-3.310.810.611.3
-10.68.4
-1.20.21*49.2
-4.410.55.08.7
-1.50.11.69.0
-4.510.76.59.4
0.1-1.1-1.39.0
-4.58.9
-1.3-2.9-1.69.2
-4.310.6
2.21-5
-0.78.8
-4.76.5
-1.10.11.28.8
-4.711.010.014.0-9.09.0
preliminary,r-revised.
148
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 150: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/150.jpg)
ESTABLISHMENT DATASTATE AND AREA HOURS AND EARNINGS
C-13. Grots hours and earning* of production workers on manufacturing payrolls by
Stat* md art*
ALABAMABirminghamMobile
ALASKA
ARIZONA
Tucson
ARKANSASFayettevllle—SpringdaiePort SmithLittle Rock—North Little RockPine Bluff
CALIFORNIAAnaheim—Santa Ana—Garden GroveBakersfieldFresnoLos Angeles—Long BeachModestoOxnard—Slml Valley—VenturaRiverside—San Bernardino—OntarioSacramentoSalinas—Seaside—MontereySan DiegoSan Francisco—OaklandSan JoseSanta Barbara—Santa Maria—LomDocSanta RosaStocktonVallejo—Falrfield—Napa
COLORADODenver—Boulder
CONNECTICUTBridgeportHartford . .New BritainNew Haven—West HavenStamford ,Waterbury
DELAWAREWilmington
DISTRICT OF COLUMBIA:Washington SMSA
FLORIDAFort Lauderdale—HollywoodJacksonvilleLakeland—Winter HavenMiami . .OrlandoPensacolaTampa—St. Petersburg . *West Palm Beach—Boca Raton
GEORGIAAtlantaSavannah
HAWAIIHonolulu
IDAHOBoise City
Aver
HAY1979
$239.26279.48310.61
444.08
264.87263.49245.88
203.-60191.22207.90232.18263.72
275.02250.90310.16246-. 02258.24260.84245.62280.99287.63258.14247.96332.93293.30234.58244.94289.52285.01
257.84256.61
262.70279.93294.63274.95270.82271.36227.55
275.12319.56
299*91
219.37211.04253.79255.15198.85220.18296.12220.00232.37
203.64232.75270.40
246.27243.46
254.70234.32
APB.1980
$253.04293.33337.26
467.40
284.57279.00269.80
214.66203.18180.68249.95294.26
294.78278.59309*96274.48283.60275.63252.97289.94301.55272.31279.80344.16314.42248.64257.97309.85306.38
280.35278.20
290.37305. 15320.46299.75286.71280.36251.22
295.66343.80
317.24
232.06225.22276.08249.21200.06247.46286.75235.62238.99
221.43256.41314.32
252.71255. 38
253.83230.55
HAT1980P
$254.32304.87326.70
(• )
290.48285.82280.92
215.42194.56174.64251.02296.74
299.44283.11326.23274.38286.88285.01257.65295.68309.75275.28280.14349.71315.59255.88263.78308.35303.46
279.89278.85
293.85305.15324.61300.62263.01280J97244.13
296.96339.69
320.44
235.41220.59274.05272.80206.45249.89286.82246.18239.68
222.39258.91294.67
244.48239.23
263.53(•)
State and selected areas
Average weekly hours
HAY1979
40.940.843.2
52.0
40.540.638.6
40.041.339.340.141.4
39.839.741.339.340.138.740.239.838.338.337.439.440.437.037.838.537.6
38.638.3
41.543.042.742.341.642.641.0
39.740.4
39.0
40.741.341.245.441.039.644*038.838.6
39.237.340.6
38.638.4
38.338.1
APB.1980
39.639.842.0
45.6
39.839.838.0
38.439.337.139.340.2
39.240.237.839.140.037.537.738.037.636.738.738.839.637.036.838.337.5
39.138.8
41.943.142.942.740.943.041.8
39.940.4
38.5
39.640.840.942.638.440.541.239.638.3
39.43d.543.9
37.037.5
35.635.8
HAY.1980P
39.639.842.1
(*)
40.440.239.4
38.438.037.039.140.1
39.440.139.438.739.937.938.236.538.137.138.838.939.437.337.138.437.1
39.239.0
41.842.542.642.440.242.741.1
39.740.2
38.7
39.940.740.644.039.140.5
. 40.839.939.1
39.536.340.7
35.935.6
36.1(*)
Average hourly earnings
HAY1979
$5.856.857.19
8.54
6.546.496.37
5.094.635.295.796.37
6.916.327.516.266.446.746.117.067.516.746.638.457.266.346.487.527.58
6.686.70
6.336.516.906.506.516.375.55
6.937.91
7.69
5.395.116.165.624.855.566.735.676.02
5.206.246.66
6.386.34
6.656.15<
APB.1980
$6.397.378.03
10.25
7.157.017.10
5.595.174.876.367.32
7.526.938.207.027.097.356.717.638.027.427.238*877.946.727.018-098.17
7.177.17
6.937.087.477.027.016.526.01
7.418.51
8.24
5.865.526.755.855.216.116.965.956.24
5.626.667.16
6.836.61
7.136.44
HAY1980P
$6.397.667.76
(•)
7.197.117.13
5.615.124.726.427.40
7.6J7.068.287.097.197.526.757.688.137.427.228.998.016.867.118.038.18
7.147.15
7.037.187.627.097.046.585.94
7.488.45
8.28
5.905.426.756.205.286.177.036.176.13
5.636.767.24
6.816.72
7.30( • )
See footnotes at end of table.
149
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 151: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/151.jpg)
ESTABLISHMENT DATASTATE AND AREA HOURS AND EARNINGS
C-13. Gross hours and earnings of production workers on manufacturing payrolls by State and selected areas—Continued
State and ar«a HAT1979
A?fi.1980
HAT1980P
Awraaja waatdy houn
HAT1979
APfi.1980
HAT1980P
HAT1979
APS.1980
HAT1980P
ILLINOISBloomington—NormalChampaign—Urbana—RantoulChicago SMSADavenport—Rock Island—MolineDecaturPeorlaRockfordSpringfield
INDIANAGary—Hammond—East ChicagoIndianapolis
IOWACedar RapidsDes MoinesDubuqueSioux CityWaterloo-Cedar Falls
KANSASTopekaWichita
KENTUCKYLexington—FayetteLouisville
LOUISIANABaton RougeNew OrleansShreveport
MAINELewiston—AuburnPortland
MARYLANDBaltimore
MASSACHUSETTSBostonBrocktonFall RiverLawrence—HaverhlllLowellNew BedfordSpringfield—Chicopee-HolyokeWorcester
MICHIGANAnn ArborBattle CreekBayCltyDetroitFlintGrand RapidsJacksonKalamazoo—PortageLansing—East LansingMuskegon—Norton Shores—Muskegon HeightsSaginaw
MINNESOTA ,Duluth—SuperiorMinneapolis—St. PaulSt. Cloud
See footnotes at end of table.
$293.29275.64250.90282.64330.07318.84351.78301.99323.60
310.75418.1%310.08
304.80315.74302.51365.71279.88398.79
271.06271.93289.12
269.17255.03302.00
285.80357.00272. 40242.57
209.08171.75206.06
278.30296.68
233.64258.40182.78173.88231.2820*. 75208.96231.64246.43
<*)(•>(•)<*)(•)<•)(*)(*)(*)(*)
! • • )
<•>
273.14262.68292.00209.28
<*)< n<*><*)(•)<*)
$326.23443.20323.16
338.98344.73342.42419.89328.32431.96
283.61302.88305.73
279.75271.32315.19
317.18412116308.18272.00
235.31190.35225.10
292.43309.64
(•). (*)
I*)(*)(•>(*)(•)(•)<•>
366.91391.62359.11336.72396.03428.12307.64325.42330.70384.33323.65406.60
292.70278*40311.25217.62
(*)$292,66
275.50290.16367.60314.35384.33306.50302.44
324.18(•)(•)
336.41342.91333.59384.47345.72435.66
288.55310.13316.81
278.40<•)(*)
322.46435.47306.53273-34
232.43188.50223.68
290.16309.66
<•)(•)(•)<*)<•)(•)<*><*)<*)
363.31384.98355.24332. 25,396.35404.03294.90334.39329.14375.01324.73398.07
295.42278.69316,00220.82
40.642.837.840,338.541.139.442.441.8
40.241.440.8
40.040.938.140.140. 842.2
40.741.941.6
39.738.740.0
41.342.540.039.7
39.937.539.1
39.740.2
39.640.038.036.339.439.539.539.840.2
(•)(•)(•)<n<•>m
( )
39.739*840.038.4
<•)<•)(•)(•)(*)<*>(*)(*)(•)
39.440.039.7
39.640.739.0.39.842.241.1
39.539.838.7
38.838.039.3
41.342.841.240.0
40.538.339.7
39.239.8
(•>(•)(•)m<•><•>
(*)39.739.940.340.040.341.339.739.739.638.939.638.5
39.538.439.735.5
(•)40.238.039.040.035.438.939.637.9
39.2(*)(•)
39.340.238.337.443.041.1
39.840.739.8
38.4(•)<*)
4U544.340.639.5
39.837.738.9
39.039.7
<*)(•)<•)(•)m<•)(•)
39.440.739.739.940.338.739.240.139.339.139.538.1
39.638.640.036.2
$7.226.436.647.018.577.768.937.127.73
7.7310.107.60
7.627.727.949.126.869.45
6.666.496.95
6.786-597.55
6.928.406.816.11
5.244.585.27
7.017.38
5.906.464.814.795.875.315.295.826.13
<*)(*)<•>(•)(•)(•)(*)!•>(•)(•)<*)(•)
6.886.607.305.45
(•)(*>(•)(*)(•)i*)(•)(•)<•)
$8.2811.088.14
8.568.478.78
10.557.78
10.51
7.187.617.90
7.217.148.02
7.689.637.486.80
5.814.975.67
7.467.78
(*)(*)(*)(*)(*)(•)(*)r»)<•)
9.249.828.918.429.83
10.377.758.208.359.888.17
10.56
7.417.257.846.13
(•)$7.28
7.257.449.198.889.987.747.98
8.27(•)(•)
8.568.538.71
10.288.04
10.60
7.257.627. 96
7.25(*)(•)
7.779.637.556.92
5.845.005.75
7.447.80
I)(•)<•)<*)<•)(•)(*)(*)
9.229.468.958.339.84
10.447.528.348.389.598.22
10.45
7.467.227.906.10
150
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 152: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/152.jpg)
ESTABLISHMENT DATASTATE AND AREA HOURS AND EARNINGS
C-13. Gross hours and earnings of production workers on manufacturing payrolls
State and area
MISSISSIPPI . . .Jackson
MISSOURIKansas CitySt. JosephSt LouisSpringfield
MONTANA
NEBRASKALincolnOmaha
NEVADALas Vegas
NEW HAMPSHIRE'Manchester \Nashua
NEW JERSEYAtlantic CityCamden *Hackensack 2
Jersey City \New Brunswick—Perth Amboy—Sayreville. ?Newark ?Paterson—Clifton—Passaic a
Trenton
NEW MEXICOAlbuquerque
NEW YORK .Albany—Schenectady—TroyBinghamton '." "Buffalo . . . :ElmlraMonroe County 3.Nassau—Suffolk .4.New York—Northeastern New JerseyNew York and Nassau—Suffolk \New YorkSMSA .4
New York City ?PoughkeepsieRochester.Rockland County s
SyracuseUtica—RomeWestchester County .5
NORTH CAROLINAAshevilleCharlotte—GastoniaGreensboro—Winston-Salem—High PointRaleigh—Durham
NORTH D A K O T A . . . .Fargo—Moorhead
OHIOAkron.CantonCincinnatiClevelandColumbusDaytonToledoYoungstown—Warren
Average weekly earnings
HAT1979
$196.71228.77
262.15302.80248.24301.32234.02
345*82
267.56257.67279.88
253.70354.99
<*)(•><*)
273.73195.94263.09259.55262.60299.62277.02258.75276.49
210.80217.22
256.10268.09237.46340.68265.03346.09241.13245.35222.09217.13212.95258.74326,61242.19287.23240.39252.15
188.42185.54193.73204.22216.40
232.06247.65
325.73314.23324.82300.2534Q.43278.80344.29326.03385.40
APE.1980
$207.97229.77
274.77314.02267.13316.40256.61
371.70
290.88265.79291.69
275.98(*)
226.97200.34242*20
293. 15210.56287.74273.97288.86322.38298.19269.47292.89
223.26235.41
275.18290.73263.63355.41279.20367.92262.01263.50238.50232.36227.76273.21346.86268.94310.80262.02268.51
205.02200.94207.03224.22240.20
238.50265,58
337.34350.24332.43321.50341.45294.75344.43342.00397.20
MAI1980P
$205.06227.08
276.76305.74270.12318.33254.41
392.75
289.48265.24291.04
'(•)(•)
(*)<*)( • )
292.84222.69287. 28274.39287.55327.23297.36272.14289.15
230.22247.57
(•)(•)(•)(•)(•)(*)(•)(*>(*)( • )(•)(•)(•)(*)(*)(*)(•)
203.45204.09207.83219.07238.19
247.04274.61
335.67355.18340.81325.10336.88295.96335.72341.20400.00
Aven
HAT1979
39.941.9
39.640.040.340.539.8
42.8
41.139.440.8
37.239.4
<*><*)(•)
41.638.840.642.940.441.142.141.440.6
40.040.3
39.439.640.840.840.941.939.439.737.937.537.141.841.539.940.839.84U0
39.539.940.739.540.0
39.439.0
41.641.440.341.342.540. 042.440.541.0
by State and selected areas—Continued
0O WBtiKly nours
APB.1980
38,840.1
38*739.439.439.539.6
41.3
40.437.739.1
36.7(*)
40.138.940.1
41.037.640.341.740.840.541.340.439.0
39.139.9
39.240.141.039.840.741.239.438.337.537.036.540.941.040.242.039.741.5
39.239.440.239.240.1
37.537.3
40.441.438.740.840.639.341.240.039.8
HAT1980P
38.439,7
38.638.839.939.339.2
45.3
39.637.238.6
(*)(*)
(*)(•)
40.939.039.941*740.540.241.340.838.4
39.941.4
(*)<•)(•)(•)(*>(•)(*)(*)(*)(*)(*)(*)(*)(*)(*)(•)(*)
38.939.440.238.539.5
38.338.3
40.241.339.441.140.239.240.440.040.0
Avenge ho«r.y earning,
HAT1979
$4.935.46
6.627.576.167.445.88
8.08
6.516.546.86
6.829.01
<*)(•><*)
6.585.056.486.056.507.296.586.256.81
5.275.39
6.506.775.828.356.488.266.126.185.865.795.746.197.876.077.046.046.15
4.774.654.765.175.41
5.896.35
7.837.598.067.278.016.978.128.059.40
APB.1980
$5.363.73
7. 107.976.786.016.48
9.00
7.207.057.46
7.52(*)
5.665.156.04
7.155.607.146.577.087.967.226.677.51
5.715.90
7.027.256.438.936.868.936.656.886.366.286.246.688.466.697.406.606.47
5*235.105.155.725.99
6.367.12
8.358.468.597.888.417*508.36 r
8.559.98
HAT1980P
$5.345.72
7.177.886.778.106.49
8.67
7.317.137.54
(*)(*)
(*)(*)(*)
7.165.717.206. 587.108.147.206.677.53
5.775.98
(*)<•><•)(*)<*)(*)(*)<*)(•)( • )(•)(*)(*)(•)(*)(•)t*)
5.235. 185.175.696.03
6.457.17
8.358.608.657.918.387.558.318.53
10.00
See footnotes at end of table.
151
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 153: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/153.jpg)
ESTABLISHMENT DATASTATE A N D AREA HOURS AND EARNINGS
C-13. Gross hours and earnings of production workers on manufacturing payrolls by State and selected areas—Continued
Ststo end flfM .
OKLAHOMAOklahoma CityTulsa . . . .
OREGONEuaene—SDrinafield . .Jackson CountyPortland
PENNSYLVANIA .Allentown—Bethlehem—EastonAltoonaDelaware Vallev *ErieHarrisburgJohnstownLancasterNortheast PennsylvaniaPhiladelphia SMSAPlttsburah .ReadingScranton .7
Wilkes-Barre— Hazleton •WllliamsDortYork
RHODE ISLANDProvidence—Warwick—Pawtucket
SOUTH CAROLINACharleston—North CharlestonColumbiaGreenville SDartanbura .
SOUTH DAKOTARapid CitySioux Falls
TENNESSEE
KnoxvilleMemphisNashville Davidson
TEXAS
AustinBeaumont—Port Arthur—OrangeCorpus Christ!Dallas—Fort WorthEl PasoGalveston—Texas CityHoustonLubbock
WacoWichita Falls
UTAHSalt Lake City—Ogden
VERMONTBurlincton .Springfield
VIRGINIABristolLvnchburoNorfolk—Virginia Beach—PortsmouthNorthern Virginia .•.Petersbura—Colonial Heiahts—HoDewell
HAT1979
$256.94257.50275.77
301.09321.47302.25288.04
273.14265.17235.42280.00276.34258.85292.00244.80192.03277.49342.31237.25187.04194.38240.34250,71
194.16193.00
201.28235.57200.46200.56
234.78195.81320.62
214.83220.30254.56249.46229.90
262.22240.65204.26382.97306.39241.35190.80408.64327.56198.85186.80221.82232.13
236,07225.97
221.95248.56261.64
216.80200.72214.26252.96246.98261.86
W 7
APB,1980
$291.85319.02293.64
303.68323.38284.77
(•)
288.28296.Q6249.93295. 14302.94£82.40307.10259.10207.52293.53364.00268.23204.37208.46256.19269.18
214.42212.16
215.97258.4421.1.43216.66
252.25201.83332-00
235.20245.32277.60255.32256.49
286.01275.49224.13368.99308.48261.70205.92436.35358.52215.72210.50237.08257.28
268.25262.03
243.17270.67281.59
237.12212.99233.40250.91273.24302.06
HAT1?80P
$292.66339.62297.16
<*)(•)( • • )
(•)
287.21297,96260,96303. 16307.57281,. 00307.56260.80208.99297.40353.05267.50197.53211.41253.06259.52
214,73212.62
215.$2255,44209.37215*57
270.22200.40385.43
236,16241,90272.16270.97251.04
289.57283.50224.11439.81306.32261.70209.67406.69357.73219,11211.14241.80246.87
267.96253,11
241.19265.01272.90
239.07216.13240.07250*34274.86304.04
HAT1979
40.441.240.2
38,839,338,838.0
39.737.439.740.041,040.739,340.836.340.140.837.935.936.439.441.1
38.638.6
40.541.439.040.6
42.036.646.0
39,240,239.940.339.3
41. 139.241.641.941.840.740.042.743.141.640.039.440.3
38.739.3
40.842.242.2
40.037*839.940.839.9
APB.1980
40.240.939.1
36.537.035.2
<•>
38.838*638.239.340.540.437.039.836.639.440*039.136.336.738.740.6
39.239.0
39.740.739.339.9
39.632.54il539.241.340.039,139.4
40.840.141.238.839.640.239.042.243.339.841.638.340.2
39.841.2
40.841.942.6
39.036.138,240.640,640.6
HAT1980P
40.242.439.1
<•)(•)(•)<*)
38.538.239.640.140.940.237.140.036.639.638.538.635.436.938.439.5
38,938.8
39.640.138.739.7
41.733.448.3
39.141.039.539.538.8
40.940.540.642.740.240.239.939.643.140.541.439.039.0
38>539.0
40.441.841.6
39.037.239.139.340.639.9
•
HAT1979
$6.366.256.86
7,768.187.797.58
6.887.095.937.006.746.367.436.005,296.928.396.265.215.346.106.10
5.035.00
4.975.695.144.94
5.595.356.97
5.485.486.386.195.85*
6.386.144,91'. J47.335.934.779.577.604.784.675.635.76
6.105.75
5.445.896.20
5.425,315.376.206.196.68
APB.1980
$7.267.807.51
8,328.748,09(••)
7.437.676.547.517.486.998.306.515.677.459.106.865.635.686.626.63
5.475.44
5.446.355.385.43
6.376.218.00
6.005.946.946.536.51
7.016.875.449.517.796.515.28
10.348.285.425.066.196.40
6.746.36
5.966.466.61
6.085.906.116.186,73
HAT1980P
$7. 288.C17.60
( • )<•)
7.467.806.597,567,526.998.296.525.717.519.176.935.585.746.596,57
5.52,5.48
5.456.375^415.43
6.486.007.98
6.045.906.896.866.47
7.087.005.52
10.307.626.515.26
10.278.305.415.106.206.33
6.966.̂ 19
5.976.346.56
6.135.816.146.376.777.62
See footnotes at end of table.
1 5 2
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 154: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/154.jpg)
ESTABLISHMENT DATASTATE AND AREA HOURS AND EARNINGS
C-13. Gross hours and earnings of production workers on manufacturing
Stataandaraa
VIRGINIA—ContinuedRichmondRoanoke
WASHINGTONSeattle—Everett '. ;SpokaneTacoma I
WEST VIRGINIACharlestonHuntlngton—AshlandParker sburg—MariettaWheeling
WISCONSINAppleton—OshkoshEau ClaireGreen Bay . .Janesville—BeloitKenoshaLa CrosseMadisonMilwaukeeRacine
WYOMINGCasper
VIRGIN ISLANDS
Amgawaaklyaarninss
HAT1979
$264.54202.29
318.59327.76286.15286.15
298.10323.40309.29304.41304.56
292.66293.23238.28303.57330.23350.95243.58288.31318.57315.81
245.89326.04
269.34
APB.1980
$310.85224.76
347.24359.52317.60346.62
311.26360.40345.65329.25335.24
313.50310.22310.07326.63282.71359.29275.03320.20343.03343.26
278.02311.70
282.08
•AT1980P
$304.17223.00
(•)(•)( • )( • )
317.58357.00359.45330.47333.76
311.33307.42286.92330.01285.98332.05287.63314.20343.41339.89
284.98333.72
282.76
payrolls by State and selected areas/-Continued
Awrasja waaldy hours'
HAT1979
39.939.9
38.939.337.937.9
39.842.039.541.740.5
40.942.034.741.542.541.941.239.840.941.9
37.241.8
40.2
APR.1980
39.739.5
38.238.737.938.3
39.542.337.940.940.1
40.041.240.241.838.839.340.339.940.040.3
38.437.6
41.3
HAT1980P
39.439.4
(*)(•)(•)(*)
39.542.039.540.938.9
39.740.641.942.039.740.041.438.939.739.8
39.239.<
41.4
AM
HAT1979
$6.635.07
8.198.347.557.55
7.497.707.837.307.52
7.166.996.877.317.778.385.927.247.807.55
6.617.80
6.70
APB.1980
$7.835.69
9.099.298.389.05
7.888.529.128.058.36
7.857.527.727.827.289.156.838.038.588.53
7.248.29
6.88
rninai
HAT1980P
$7.725. 66
(*)(•)( * )( * )
8.048.509.108.088.58
7.657.576.847.857.218.306.958.088.648.55
7.278.47
6.63
1 Subarea of Philadelphia, Pennsylvania Standard Metropolitan StatisticalArea: Burlington, Camden, and Gloucester Counties, New Jersey.
2 Subarea of New York—Northeastern New Jersey.3 Subarea of Rochester Standard Metropolitan Statistical Area.4 Area included in New York and Nassau-Suffolk combined SMSA's.5 Subarea of New York Standard Metropolitan Statistical Area.• Subarea of Philadelphia, Pennsylvania Standard Metropolitan Statistical
Area: Bucks, Chester, Delaware, Montgomery, and Philadelphia Counties, Penn-sylvania.
7 Subarea of Northeast Pennsylvania Standard Metropolitan Statistical Area:
Lackawanna County.' Subarea of Northeast Pennsylvania Standard Metropolitan Statistical Area:
Luzerne County.9 Subarea of Washington, D.C. Standard Metropolitan Statistical Area: Alex-
andria, Fairfax, Falls Church, Manassas, and Manassas Park cities and Arl-ington, Fairfax, Loudoun, and Prince William Counties, Virginia.
p = preliminary.* Not available.
SOURCE: Cooperating State agencies listed on inside back cover.
153
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 155: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/155.jpg)
ESTABLISHMENT DATALABOR TURNOVER
D-1. Labor turnover rates in manufacturing, 1970 to date(Per 100 employees)
Year
Total aocestions
1970 . .1 9 7 1 . . . . . . . . . . . . . . . .
1 9 7 3 . . . .197419751 9 7 6 . - .1 9 7 7 • • • • • • • • • • • • • • • •19781 9 7 9 . . . . .1 9 8 0 . . . .
New him
1 9 7 0 . . .1 9 7 1 . . . . . . . . .1972. - . . .1973.1 9 7 4 . . . . . .1 9 7 5 . . . . .1 9 7 6 . . -1 9 7 7 . . . . . . . • • • • • • • • •1 9 7 8 . . . . . . . . . . . . . . . .1 9 7 9 . . .1 9 8 0 . . . .
Recalls
1 9 7 6 . -1 9 7 7 . . . .19781979.1 9 8 0 . • • . . . . . . . . . . . . .
Total separations
1970. . . . . . . . . . . . . . . . .1 9 7 1 . . . . . . . . . • • • • • • •1 9 7 2 . . . . . . . . . . . . . . . .1573
1 9 7 5 . . . . . . . . . . . . . . . .1 9 7 6 . . . . . . . . . . . . . . . .1 9 7 7 . . .1 9 7 8 . - - . .1 9 7 9 . . . . . . . .1 9 8 0 . . . -
Quits
1 9 7 0 . . . . . . . . . . . . . . . .1971 • • • • • • • • • • • • •1 9 7 2 • • • • • . • • • • • • • . . .1 9 7 3 . . . . . . . .1974.1 9 7 5 • • • • • • • • • • • • • • • •1 9 7 6 . • • • - • • . . . . . . . . .1 9 7 7 . . . . . . . . . - .1 9 7 8 . . . . . . .
1 9 8 0 . . . . . . . . . . . . . . . .
Layoff
1 9 7 0 . . . . .1 9 7 1 . . . . . . . . . . . . . . . .1 9 7 2 . . . . . . . • • • • • • • • •1973 - • • • • • • • • • • • • • •1 9 7 4 . . . . . . . . . . . . . . . .1 9 7 5 . • • • • • • • • • • • • • • •19761 9 7 7 . . . . . . . • • • • • • • • •1 9 7 8 . . . . . . . . . . . . . . . .1 9 7 9 . .1 9 8 0 . . . . . . . . . . . . . . . .
Annual
average
3 .94. 54 . 84 . 23 . 73 . 94 . 04 . 14 . C
2 . 82 . 63.33. 93. 22 . 02 . 62 . 83. 12 . 9
1.0. 9. 7. 7
4 . 84 . 24 . 34 . 74 . 94 . 23 . 83 . 83 .94 . 0
2 . 11 . 82 - 32 . 82-41.41.71.82 . 12 . 0
1.81.61 . 1
. 91 . 52 . 11.31. i
. 91 . 1
Jan.
4 . 03.54 . 14 . 74. 22 .93. 93. 73. 84 . 03 . 8
2 .92. 02.63. 53. 21 . 32. 12 .22 .52. 82 .4
1 . 41.21 . 0
. 91 . 1
4. 84. 24. 14 .35.06. 13 .73 . 93-63. 84. 1
2. 11.51. 72 .32 .21 . 11 . 31-41.51.81 . 6
1.71.91.51 . 11. 84.01.61.71-21. 11.6
Feb.
3 . 63 . 13.74 . 13.72 .73.53.73.23.43.3
2.51 . 92.53.22 .81 . 22 . 12 . 12.2?• 52.2
1.01.3. 7. 7. 9
4 .33 .53.53 .8
4 .53.03.43 .13. 23 .5
1.91.31.62 . 12 .0
.91.21.31.41.61 . 5
1.51.41 . 1
• 81.32.91.01.4
. 9. 8
1.2
Mar.
3 .73.54 . 04 .54. 13 .24 . 24 . 03 .83.83.5
2 .62 . 22 .83 .53 . 11.32 . 72 .62 .72 . 82 .3
1 . 21.1
. 8
. 7
. 9
4 . 43 .73 .94 .3
4 . 23.53 .43.53 .63.7
2 . 01.51.92 .52 . 31.01.61.61.81.91.6
1.61.41 . 1
. 81.12.51 . 11.0
. 9
. 81.3
Apr.
3 . 73 . 64 , 14 . 64.53 . 73.93.84 .03-93- 1
2.62 .32 .93 . 73 . 31.62 .62 .72 .92 .92 . 1
1.0. 9. 8. 7. 8
4 . 83.93.84 . 2
4 . 03 . 63 . 43 . 63 . 74 . 7
2 . 11.62 . 02 .52 . 41 . 11.71.72 .02 .01.5
1.71-41.0
. 7
. 92 . 11. 1. g• 8. 9
2-3
May
4 . 24 . 04 . 9
r> 1
4 . 04 . 54 . 64 . 74 . 7
P 3 . 3
2 . 82 . 73 . 74 . 54 . 02 .03 . 13 .53.63 .6
P 2.1
1 . 0. 8. 3.8
P1.0
4 . 63 . 73 .94.4
3 .93.43 .53 .73.8
P4.8
2. 11.72 . 22 . 82 .71.31.71.92 . 12 .1
P1.5
1.51 .2
. 9
. 7
. 81.8
. 9• 8. 7. 7
P2.5
June
•I
5.44 ,95.45.95.44.54 .84 .94 .94 .8
3,93.54 . 25.04. 32 .53.63.73.93.8
0.9• 8. 7.7
4 . 43 . 84 . 24.5
3.73.63.53 .83 .9
2 .11.82.22 .82 .51.41.81.92 . 22. 1
1.51.21 . 1
. 7
. 81.6
.9
. 8
. 7
. 9
July
4 . 44 . 04 . 75 . 24 . 94 . 64 . 24 . 34 . 44 . 3
3.02 . 73.54 . 13.72 .62 .93 .03.33 . 1
1 . 1. 9
. 9
5 .34 . 84 ,85 .24 . 94.44 . 34 . 34 . 14 . 3
2 . 11 .82.22 .82 . 61.51.91.92 .12 .0
2 .32. 11.71.41.42.01.61.51 . 11.4
Aug.
5 . 15 . 36 . 16 .3
5.2*">. 15.3*5. 45.0
3.53.44 .55 . 14 . 73 . 13.64 . 04 . 23 .7
1 . 11.0
. 9
. 9
5 .65.55 .56.56 . 24 .74 . 95. 15.35 .7
3 .02 . 83.64 . 64 .02 .52 . 83 . 13 .53.3
1 - 71 < P
9. fl
1. 1I .31. 1i n
1 . 3
Sept.
4 . 74 . 05 . 45 . 84 . 94 . 64 . 44 . 64 . 94 . 5
3 .43.44 . 3
3.93 . 13 . 23 . 53 . 93 . 4
0 . 8. 8. 7. f t
6 . 05 .35 .55 .85. 54.44 . 74 . 94 . 94 . 7
3 .3
3 . 54 . 03 .32 . 12 .52 .83 . 12.7
1 - 71.5.9• 8
1.21.51 . 3I 1
. 81 . 1
Oct.
3 . 9
5 . 23 . 33 . 73 . 53 . 94 . 34 . 1
2.72 .73.94.42.92 . *2 . 53 . 03 . 53 . 1
0 . 7. 6. 6. 7
5 . 34 . 34 . 45 . 0
5 . 14 . 14 . 13 . 84 . 14 . 2
2 . 12.02 .53. 12 .21.61.71.92 .32. 1
' 2 . 2I .5I.O. 8
1.81.61.5i 1
1.2
Nov.
13q
22
7111
17
111
1
/
f
-
. 0
. 3
. 7
. 8
. 4
. 8
. 9. 1
. 3
. 0
.9
. 2• w 9
. 1
. 7
. 8.9. 2
. 2
) .7.6. 5. 5
\m 3't . 7$ .81.2
3 . 5
-•
-
J .41.4} . 51.8
. 41.5
>. 3.4
1.2• . 21.51.71 .6
2.11 . 51.01 . 12.81.71.51 . 11 . 01.5
Dec
2.52.72.61.P
2 . 2
2 . 42 . 2
1 . 41 .62 . 1
1 . 01 . 31 . 31 .61 . 7
0 . 7. 6. 5. 5
4 , 13 . 33 . 74 . 0
5 . 23 .43 . 53 . 43.'43 . 5
1 . 21 . 21 . 61 .6
' 1.0. 9
1 . 01 . 21 . 31 . 1
2.21.81.31 . 63 . 6
•1.91.81 . 51.41 . 7
NOTE: See note to table C-1u
154Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 156: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/156.jpg)
ESTABLISHMENT DATALABOR TURNOVER
D-2. Labor turnover rates, by industry
1972SICC o * Apr.
1980May p
1980Apr.1980
Hay p
1980Apr.1980
May p1990^
Separation rates
Apr.1980
Kay p1980
Apr,19 80
May p
1980Apr.1980
May a1980
MANUFACTURING.
24. 25,3239
20-23,26-31
24242242124324312442452451249
25251251125122515252254
3232232213229323324325326327329
333313312332332133253333353351335333573363361
3434134113423423.534293433443441344234433444345345134523463462346634693473483493494
DURABLE GOODS . . . .
NONDURABLE GOODS.
DURABLE GOOOS
LUMBER AND WOOD PRODUCTSSawmills and planing mills
Sawmills and planing mills, generalMillwork, plywood, and structural members .
MillworkWooden containersWood buildings and mobile homes
Mobile homesMiscellaneous wood products
FURNITURE AND FIXTURESHousehold furniture
Wood household furnitureUpholstered household furnitureMattresses and bedsprings
Office furniturePartitions and fixtures
STONE, CLAY, AND GLASS PRODUCTS .Glass and glassware, pressed or blown . . .
Glass containersPressed and blown glass, nee
Products of purchased glassCement, hydraulicStructural clay productsPottery and related productsConcrete, gypsum, and plaster products .Misc. nonrhetallic mineral products
PRIMARY METAL INDUSTRIESBlast furnace and basic steel products
Blast furnaces and steel millsIron and steel foundries
Gray iron foundriesSteel foundries, nee
Primary nonferrous metalsNonferrous rolling and drawing
Copper rolling and drawingAluminum sheet, plate, and foilNonferrous wire drawing and insulating
Nonferrous foundriesAluminum foundries
FABRICATED METAL PRODUCTSMetal cans and shipping containers
Metal cansCutlery, hand tools, and hardware
Hand and edge tools, and hand saws and blades.Hardware, nee
Plumbing and heating, except electricFabricated structural metal products
Fabricated structural metalMetal doors, sash, and trimFabricated plate work (boiler shops)Sheet metal work
Screw machine products, bolts, etcScrew machine productsBolts, nuts, rivets, and washers
Metal forging* and stampingsIron and steel forgingsAutomotive stampingsMetal stampings, nee
Metal services, neeOrdnance and accessories, neeMisc. fabricated metal products
Valves and pipe fittingsMisc. fabricated wire products
3.1
2.7
3.8
4.23.63. 43.22.35.56.26.53.7
3. 33.43 . a3 .02 .92 .74 .6
3 . 62.01.92.13.8
.94.02 . a6.52.0
1.92.02.02.12.12,21.41.51.41.31. 12.42.5
3.03.83. B2.51.83.01.73.34.03.22.53.72.32.52.12.92.83.32.84.52.12.72.83.0
3.3
2.8
4. 1
5.5
3 . 2
3 . 8
3 . 1
2.1
1.7
2.6
2.32.01.61.71.54.04.45.52.7
2.72.83.12.42.32.43.6
1.8.9.9
1.01.3
-62.11.63.01.2
.9
.4. 3
•1.31 .11.71.2. 9.6.7.9
1.61.7
1.91.21.01.31.31.21.22.43.12.01.82.91.92.11.71.41.5
.22.23.21.21.81.82.1
2. 1
1.6
2.8
2.3
2 . 3
1.8
1 .8
0.8
.7
.9
1.71.21.21.4.8
1.51.7. 9. 9
.4
.4
.2
.4
.5
.2
1.6.7.8.6
1.6.2
1.9.7
3.4.7
.81.21.3.5.6.4.1.4.6.6. 1.5.5
.92. 12.41. 1.4
1.7.5.8.7
1.2. 6. 8. 3. 3. 3
1.21.22.3
.51.2.5.8.8. 9
1.0
.9
1. 1
3.1
. 7
1.1
4 . 7
4 . 7
4 . 6
10.212.012.811.414.16.9
11.913.36.0
5.05.24.25.4
4.15.3
• 4.52.82.82.76.02.47.14.34.84.2
3.83.53.54.96.03.21.32.85.21.23.06.47.3
5.95.86.47.04.79.08.15.55.08.22.87.75.05.64.47.54.4
12.06.06.22.14.82.88.5
4.8
5.0
4 .6
6 .5
5 .6
5 .6
6 .3
5 .6
1.5
1.2
2.0
2.52.11.92.21.83.94.85.52.6
2.22.52.62.32.01.82.3
1.3.7.7. 6
1.0.2
2.31.32.0
.9
. 6. 3. 2
1.11.11.0
. 3
. 6
. 7
. 2
.51.51.5
1.5. 8. 6
1.21.11.21.61.82.22.01.22.11.51.81.21.0.6.6
1.52.3
. 61.41.12 . 1
1.5
1.2
1.9
2 . 1
2 . 2
1.3
.5
1.3
2.3
2.6
1.8
*.69.0
10.08.2
11.12.05.55.92.4
1.81.7.6
2.21.81.51.9
2.31.31.41.13.51.84.12.31.92.6
2.42-42.52.93.81.3.4
1.63.7.7
1.94.14.9
3.64.25.05.02.87.05-22.71.85.3.9
4.62.73.12.35.73.2
10-83.42.81.02.6.9
5.4
2.5
2.9
1.9
3.4
2 . 4
3 . 3
5 . 0
3 . 5
See footnotes at end of table.
155
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 157: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/157.jpg)
ESTABLISHMENT DATALABOR TURNOVER
D-2. Labor turnover rates, by industry - Continued
1972SIC
Code
Tot*
Apr .1980
Hay1«8C
New him
Apr,1980
May p198CF
Apr.1980
May p-980
Total
A p r .1980
Kay p19 B0
Apr.1980
Bay p1980
Apr.1960
Hay p1980
35351351135193523523353353135333543541354435453553551355235635613562356435735733583585359
363613612361336236213622363363236333634364364136433653651366366136623673671-336743679
373713711371337143715,6372372137243728373373137323743763761379
381382382238233825
MACHINERY. EXCEPT ELECTRICAL . . .Engines and turbines
Turbines and turbine generator sets . .Internal combustion engines, nee . . .
Farm and garden machineryFarm machinery and equipment
Construction and related machinery . . . .Construction machineryOil field machinery
Metalworking machineryMachine tools, metal cutting types . . .Special dies, tools, jigs, and fixtures . .Machine tool accessories
Special industry machineryFood products machineryTextile machinery
General industrial machineryPumps and pumping equipment . . . .Ball and roller bearingsBlowers and fans
Office and computing machinesElectronic computing equipment . . . .
Refrigeration and service machineryRefrigeration and heating equipment.
Misc. machinery, except electrical
ELECTRIC AND ELECTRONIC EQUIPMENT .Electric distributing equipment
TransformersSwitchgear and switchboard apparatus . . .
Electrical industrial apparatusMotors and generators'ndustrial controls
Household appliancesHousehold refrigerators and freezersHousehold laundry equipmentElectric housewares and fans
Electric lighting and wiring equipmentElectric lampsCurrent-carrying wiring devices
Radio and TV receiving equipmentRadio and TV receiving sets
Communication equipmentTelephone and telegraph apparatusRadio and TV communication equipment .
Electronic components and accessoriesElectronic tubesSemiconductors and related devicesElectronic components, nee
Misc. electrical equipment and suppliesEngine electrical equipment
TRANSPORTATION EQUIPMENTMotor vehicles and equipment
Motor vehicles and car bodiesTruck and bus bodiesMotor vehicle parts and accessories .Truck trailers and motor homes
Aircraft and partsAircraftAircraft engines and engine parts . . .Aircraft equipment, nee
Ship and boat building and repairing . . .Ship building and repairingBoat building and repairing
Railroad equipmentGuided missiles, space vehicles, parts . . .
Guided missiles and space vehicles . . .Miscellaneous transportation equipment
INSTRUMENTS AND RELATED PRODUCTSEngineering and scientific instrumentsMeasuring and controlling devices
Environmental controlsProcess control instrumentsInstruments to measure electricity
2.01.R1.91.7i.R1.71.7.9
3.21.91.52.41.91.81.72.01.81.32. i1.92.02.02. 32.23.2
2.62.62. 1.1.02.12.02. U3.9
11.0.5
3.12.31.82.14.3
'3.92.01.32.31.01.62.73.31.91. 3
2.62.53.22.31.82.61.81.21.53.75.04.95.02.72.32. a4.3
2 . a2.42.32.32,12.2
2 . 1
2 . 5
2 . 8
1.6
.9.5
1.31 .31.3.5
3.01.61.41.81.7
r.51.61.31.11.21.61.61.61.51.32.7
1.71.5.9
2.01.31 . 11.51.41.7
.32.31.71.11.71.81.91.51.01.82.51.02.32.P1 .0
.5
1.1.3.2
1.4.3.7
1.5.9
1.23.42.52.52.7
.81.71.81.2
2.02.21.81.51.91.7
1.5
1.6
.2.3
0.2.3. 2.3.3. 2.2. 3. 1.2
P)• 4. 1. 1. 1. 2. 3. 1. 2. 2. 1. 1.5.5.3
.5
.3
.6
.4
.4.4
1.87.3
.1
.3
.2
.1
.11.2.5. 1.1.1.3.1.2.3.7.5
1.11.62.3
.7
.91.8.1.1
(1).2
2.32.32.21,2.2.2
2.8
.2.1. 1• 3
O)
0 , 4
. 3
3.45.72.17.15.95.8?.72.92.2?.81.73.92.22.31.93.23.22.35.43.22.22.16.27.43.7
3.5?.52.93.93.74.92.55.17.71.54.04.52.23.03.53.41.91.42. 13.52.02.14.65.07.1
6.210.012.14.48.79.71.81.61.22.97.95.7
16.52.81.21.2
13.5
2.62.02.63.72.31.9
3 . 7
4 . 3
3..?
1.0• 4.3.5
1.01.0.9,.51.41.0.6
1.11.2i.O.9
1.4.9.9• 6
1.41.11.0• 9.9
1.7
1.21.2.8
1.5.9.8
1.01.1
.5
. 22.11*3• 6
1.31.2.9.9. 5
1.11.9.9
1.22.4.8.5
.8• 6.5
1.4.5
1.2.8.6.4
1 . *1.91.53.4
.4• 6.6
2?3
1.21.31.21.01.11.3
1.0
1.2
1.4
1.64.0.3
5.54.03.91.21.9<1>1.2.4
2.0.3.6. 5.9
1.71.24.11.2.4.3
4.25.21.1
1.31.1.8
1.42.03.2
.72.42.8
.71.02.3
.5
.9• 8.7.4.5. 3.8.4.2
1.23.45.8
4.58.4
10.62.27.17.7
.5
.7
.2
.24.63.2
10.21.0
. 1
. 19.3
.6
.2
. 61.8
. 5
. 1
1 . 9
2.2
1.2
See footnotes at end of table.
156
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 158: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/158.jpg)
ESTABLISHMENT DATALABOR TURNOVER
D-2. Labor turnover rates, by Industry-Continued
1*72SIC
Total
Apr .19R0
Kay p
19.90Apr,1980
May p1930
Apr.1980
May j1930
Separation rat**
Apr.19 80
y }1980
Apr.1980
flay1980
Apr.1960
Way p1980
383
38413842
387
3913933943942.43949395
202012011201320162022032042062051206220520720820822096209
21211
2222122222322422622512252225322542257226227228229
2323123223212327232823323423412942236238
26U.6
INSTRUMENTS AND RELATED PRODUCTS—Cont'dOptical instruments and lensesMedical instruments and supplies
Surgical and medical instrumentsSurgical appliances and supplies
Ophthalmic goodsPhotographic equipment and suppliesWatches, docks, and watchcases
MISCELLANEOUS MANUFACTURINGINDUSTRIESJewelry, silverware, and plated wareMusical instrumentsToys and sporting goods
Dolls, games, toys, and children's vehicles .Sporting and athletic goods, nee
Pens, pencils, office and art suppliesCostume jewelry and notionsMiscellaneous manufactures
NONDURABLE GOODS
FOOD AND KINDRED PRODUCTS . . .Meat products
Meat packing plantsSausages and other prepared meats .Poultry dressing plants
Dairy productsPreserved fruit* and vegetablesGrain mill productsBakery products
Bread, cake, and related products . .Cookies and crackers
Sugar and confectionery products . . .Fats and oilsBeverages
Malt beveragesBottled and canned soft drinks
Misc. foods and kindred products . . . .
TOBACCO MANUFACTURESCigarettes
TEXTILE MILL PRODUCTSWeaving mills, cottonWeaving mills, syntheticsWeaving and finishing mills, wool .Narrow none roiiisKnitting mills
Women's hosiery, except socks .Hosiery, neeKnit outerwear millsKnit underwear millsCircular knit fabric mills
Textile finishing, except woolFloor covering millsYarn and thread millsMiscellaneous textile gcods
APPAREL AND OTHER TEXTILE PRODUCTS.Men's and boys' suits and coatsMen's and boys' furnishings
Men's and boys' shirts and nightwearMen's and boys' separate trousersMen's and boys'work dotting
Woman's and misses' outerwearwomen s ano cnwiren s unuergarrrwrni
Women s and children s underwearBrassiere* and allied garments
Children's outerwearMisc. apparel and accessoriesMisc. fabricated textile products
PAPER AND ALLIED PRODUCTS .Paper and pulp millsPaper mills, except building paper .
2 . 93.23.53.03.41. 23.7
4.43,02,56.47.05.83.35.03.5
6.14.63.79.53.3
11.22.32.52.62.15.12.54.54.54.46.7
2.62.04.04.03.04.14.44.63.34.74.93.45.43.82.55.32.6
5.25.55. 14.94.05.75.33.94. 13.16.35.45.3
2.21.51.4
4 . 0
6 . 3
3 . 8
5 . 4
2 . 6
2.82.83.12.72.7
.91,6
3.11.81.74.95.34.62.53.42.5
3.24.32.42.0B.42.64.92.02.12.31.31.81.93.01.13.93.5
.8.8
3.23.12.53.2?.O3.63.14.23.62.84.23.21.84.41.9
3.62.64.13.73.64.93.42.72.72.54.23.53.5
1.3• 8.8
2.6
3 . 8
2 . 9
3 . 4
1.6
P)0.2
.2.2.3
0)2.0
1,01.1
.51.21.5.9.5
1.5. 9
1.81.41.81.6.3
c5*5
.7
.3.2.7
3.2. 6
1.43.2
.42.9
1.0.2
.5
.2
.2
.71.2.8.2.4
1.0.3
1.1.3.4.6.5
1.42.6.8.9.3.7
1.61.11.3
. 41.91.71.7
. 7• 6. 5 '
2 . 3
.5
1.7
. 8
2.33.13.23.03.31.75.2
5.04.66.35.34.75.93.25.35.0
6.06.13.94.29.83.2
12.14.12.62.14.87.53.64.05.03.5
10.5
2.81.3
4.84.04.15.36.04.94.25.34.53.36.44.25.06.05.2
5.94.64.94.54.65.55.94.85.03.97.06.87.8
2.91.51.1
5 . 9
5 .6
4 . 8
6 . 1
3 . 0
1.31.72.01.41.8.5
1.5
1.9
1̂ 72.22.91.61.72.31.7
2.33.81.61.27.91.62.81.61.31.41.01.41.61.6.2
2.32.8
.3. 1
2.62.62.42.82.32.72.93.12.72.53.02.11.93.81.9
2.91.83.43.23.24.12.62.82.92.23.32.62.7
.9
.3
.3
1.9
2-3
2.4
2.9
.9
0.6.5.5.5.5.6
3.0
2.01.93.42.0
• 83.0.5
2.22.1
2.91.31.52.3
.51.07.91.8.8.2
3.15.21.41.64.2
.37.0
1.5.1
1.1. 1.5
1.53.01.3
. 41.6
. 9
. 12.01.12*2.9
2.4
2.21.9.8.6.8.8
2.51.41.5.9
2.93.33.8
1.3• 8
• 4
3.0
2.4
1.3
2.4
Sw footnotes at end of table.
1.5
1 5 7
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 159: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/159.jpg)
ESTABLISHMENT DATALABOR TURNOVER
D-2. Labor turnover rates, by industry—Continued
1972SIC
Cod*
Industry
Separation ra * t
Apr.1D80
ay p9 80
pr .980
Hay p1980
Total Layoff!
Apr.1980
lay p980
Apr.1980
way p1980
Apr.1980
nay p1980n
Apr.1980
Hay p1980
26326426526512653
2727127227327427527512752278
28281281928228212824283283428428412844
287289
29291295
30301302303.4
306307
313113143143-3144
10101102
13131,2
14142144
PAPER AND ALLIED PRODUCTS—ContimPaperboard millsMisc. converted paper productsPaperboard containers and boxes
Folding paperboard boxesCorrugated and solid fiber boxes
PRINTING AND PUBLISHINGNewspapersPeriodicalsBooksMiscellaneous publishingCommercial printing
Commercial printing, letterpress . .Commercial printing, lithographic
Blankbooks and bookbinding
CHEMICALS AND ALLIED PRODUCTSIndustrial inorganic chemicals
Industrial inorganic chemicals, neePlastics materials and synthetics
Plastics materials and resinsOrganic fibers, noncellulosic
DrugsPharmaceutical preparations
Soap, cleaners, and toilet goodsSoap and other detergentsToilet preparations
Paints and allied productsIndustrial organic chemicalsAgricultural chemicalsMiscellaneous chemical products
PETROLEUM AND COAL PRODUCTSPetroleum refining'.Paving and roofing materials
RUBBER AND MISC. PLASTICS PRODUCTSTires and inner tubesRubber and.plastics footwear ,Reclaimed rubber, and rubber and plastics hose
and beltingFabricated rubber products, neeMiscellaneous plastics products
LEATHER AND LEATHER PRODUCTS .Leather tanning and finishingFootwear, except rubber
Men's footwear, except athleticWomen's footwear, except athletic .
NONMANU F ACTUR ING:
MINING
METAL MININGIron oresCopper ores . .
BITUMINOUS COAL AND LIGNITE MINING
Ol L AND GAS EXTRACTIONCrude petroleum, natural gas, and
natural gas liquidsOil and gas field services
NONMETALLIC MINERALS, EXCEPT FUELSCrushed and broken stoneSand and gravel
COMMUNICATION:Telephone communication
2,72.22.41.6
2.*3. 12.63.32.42.72.52.83.3
1.51 . 11.2. 9
1. 1.5
1.71.32.41.P2.91.7 '.9
3.21.6
2.51.66.7
3.2.9
7.8
1.82.53-8
7.07.17.47.07.6
5. 1
2.43.21.5
1.7
7.4
2. 111.0
4.75.56.6
1.0
3 . 5
3 . 3
6 . 6
5.7
4 . 1
1.5
8.5
4 . 0
1.01.91.41.41 . 1
2.42.92.42.62.22.12.02.22.5
1.21.01.0
.7
.9.3
1.41.41.7
.82.31.3
.72.81.3
1.71.52.6
2.2.2
5.2
.71.42.8
5.14.15.95.85.5
3.8
1.5.3
1.2
.9
6.11.69.2
2.22.02.9
.8
2 . 6
1.4
2 . 8
2 . 0
5 . 0
4.4
3.0
.7
7.1
1.8
0.8.6.7.9.4
.3.1.1.6.2.5• 5.5.6
. 2. 1. 1. 1.1. 1. 1. 1. 5
1.0.4. 1.1. 3.2
. 3. 1
4.0
. 3.3
1.6
. 9.8.8
1.42.8
.9
.41.6
.8
.41.3
.1
• 6
.7(1)1.1
2.33.43.2
(1)
0 . 5
. 3
. 5
1.0
1.4
1.0
. 3
. 5
1.0
2 . 1
2.13.24.14.33.5
3.13.12.53.42.83.13.03.24.8
1.41.21.31.51.01.31,42.72.23.03.01.12.62.8
2.71.29.6
6.84.67.1
5.55.97.5
6.96.86.66.66.6
3.9
2.12.31.0
1.4
5.8
1.58,7
2.82.04.4
.7
3 . 3
2 . 1
2 . 5
6 . 9
7.2
4.9
2.U
3.6
6.5
3.0
0.51.31.11.01.0
1.82.41.71,71.91.41.41.42.2
.6
.5
.4
.5
.6
. 3
.7
.7
.8
.31.01.0.4
1.2
.7
.41.9
1.9.3
4.2
1.01.32.4
3.82.34.34.63.8
2.6
1.1• 3.4
.5
4.2
.96.4
1.31.01.5
.3
1.9
. 6
1 .8
3 . 4
2.8
1.4
.5
1.0
1.11.12.12.51.7
.7
.2
.21.1.3
1.11.11.11.9
.6
.4
.4• 4.4. 3.2. 3
1 .11.5
.91.2
. 3
. 8
1.5. 4
6.7
3.73.41.6
3.93.53.9
2.13.61.2
.81.6
.2. 5
(D• 5
. a
. 71.5
. 1
0 . 8
. 9
1 .3
4 . 1
2.7
• 9
• 2
2.6
.2
1.4
Less than 0.05.
1 5 8
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 160: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/160.jpg)
ESTABLISHMENT DATASEASONALLY ADJUSTED LABOR TURNOVER
ESTABLISHMENT DATASEASONALLY ADJUSTED LABOR TURNOVER
D-3. Labor turnover rates in manufacturing, 1970 to date, seasonally adjusted
[Per 100 employees]
Year
. • WMI •OGOTMOni
1 9 7 0 . . . . . . . . . . . . . . . .1971
1 9 7 3 . . . . . . . . . . . . . . . .1 9 7 4 . . . . . . . . . . . . . . . .1 S 7 5 . . . . . . . . . . . . . . . .1976. .1 S 7 7 . . . . . . . . . . . . . . . .1 9 7 8 . . . . . . . . . . . . . . . .1 9 7 9 . . . . . . . . . . . . . . . .1 9 8 0 . . . . . . . . . . . . . . . .
New him1 9 7 0 . . . . . . . . . . . . . . . .1 9 7 1 . . . . .
1 9 7 3 . . . . . . . . . . • • • • . .1 9 7 4 . . • • • • . . . • . • . • . .1 975.19761 9 7 7 . . . . . . . . . . . . . . . .
1 9 7 9 . . . . . . . . . . . . . . . .1 9 8 0 . . . . . . . . . . . . . . . .
Total separations
1 9 7 0 . . . . . . . . . . . . . . . .1 9 7 1 . . . . . . . . . . . . . . . .1 9 7 2 . . . . . . . . . . . . . . . .1 9 7 3 . . . . . . . . . . . . . . .1 9 7 4 . . . . . . . . . . . . . . . .1 9 7 5 . . . . . . . . . . . . . . . .1 9 7 6 ,
1 9 7 8 . . . . . . . . . . . . . . . .1 9 7 9 . . . . . . . . . . . . . . . .1 9 8 0 . . . . . . . . . . . . . . . .
Quits
1 9 7 0 . . . . . . . . . . . . . . . .1 9 7 1 . . . . . . . . . . . . . . . .1 9 7 2 . . . . . . . . . . . . . . . .1 9 7 3 i . . . . . . . . . . . . . . .1 9 7 4 . . . . . . . . . . . . . . . .1 9 7 5 . . . . . . . . . . . . . . . .1 9 7 6 . . . . . . . . . . . . . . . .1 9 7 7 . . . . . . . . . . . . . . . .1 9 7 8 . . . . . . . . . . . . . . . .1 9 7 9 . . . . . . . . . . . . . . . .1 9 8 0 . . . . . . . . . . . . . . . .
Uyeffc
1 9 7 0 . . . . . . . . . . . . . . . . .1 9 7 1 . . . . . . . . . . . . . . . .
1 9 7 3 . . . . . . . . . . . . . . . .1 9 7 4 . . . . . . . . . . . . . . . .1 9 7 5 . . . . . . . . . . . . . . . .1 9 7 6 . . . . . . . . . . . . . . . .1 9 7 7 . . . . . . . . . . . . . . . .1 9 7 8 . . . . . . . . . . . . . . . .1 9 7 9 . • • • . . . • . • • • . • • .1980
Jan.
4 . 43 . 8
5 .04 ,73 .04 . 24 .04. 14 .23 .9
3 .32.43 .04 .03 .81 .62,62 .73.03 .22.8
5 .04.34*24 .65. 15.23 .63.93.84 . 04. 1
2.41.82. 12 . 82 .71 . 41 .61 . 81 .92 .21.9
1.51-71.2. 9
1.42 .91.21 .31.0. 9
1.3
Feb.
4 . 43 . 7
5 .24 . 63 .24 . 14 . 43 . 9
4 . 13.9
3 ,22 . 43 . 14 .23 .71.62 .72 .82 .93 . 22 . 8
5 . 24 . 14 . 14 . 75 .05 . 13 . 64 . 13.84 . 04 . 0
2 . 51.72. 12 . 92 . 81 . 31.71.81.92m21.9
1.71.51.2. 8
1.33 . 01.01.51.0. 9
1.3
Mar.
4 . 03 .7
5 . 14.53 .24.24 .04 . 04 .03.6
2 .92.43.24 . 13 . 61 .52.92 . 83 . 03 . 12.5
4.94.04 .24 .84 . 94 . 63 . 8
3.83.83 .94 . 3
2.31.72.22 . 92 .71 .21 .81.82 . 02. 11 .9
1.8* 1.5
1.1. 9
1.22.71.21.21.0. 9
1.5
Apr.
4 . 03 . 8
4 . 94.63.64.04.04 .24.03.0
2.82.53.24.03.51.72.82.93.13.02.1
5.24 . 14.24.64 . 74 . 63 . 9
3.74.04. 1$. 3
2.31.72.22.82.61.21 .81 .82 . 12. 11 5
1.91.51.2. 8
1.12.61.31 . 11 .01 . 12.9
May
4 . 13.8
4 .84 .53 .74 . 04 . 04 . 04 . 0
P2.9
2 . 72 . 53 .34 . 03 .51.82 .73 .03 . 03 ,0
P1.8
5 .04 . 24 .24 . 64 . 64 . 63 .73.83.94 . 0
P5.7
2 . 11 . 82 . 22 . 82 .61.31 . 71 .92 . 02 . 0
P1.4
1.91.61.2. 9
1.12 . 51.21 . 11.01.0
P3.5
June
4 . 13 .8
4 . 74 .33 .83 .84 .04 . 04 .0
2 .82 .53 .23 .83 .31.92.72 .83 .03 .0
4 . 84. 14 .54 .74 . 54 . 33 . 9
3. 73.94. 1
2,21 .82 . 22. 82 .51 . 41 . 71 .82 . 12 . 0
1 . 91.5 .1 .4
. 91 . 12 .21.31 . 1. 9
1.2
July
4 . 13 . 8
4.34.64 . 34 . 03 . 94 . 04 . 03 .9
2.82 .63 .23 . 73.32 .32 .72 .83 .02- 8
4 . 54 . 24 .54 . 94 .54 . 03.9
3 .93 .9
2 . 11.82 .22 .72 .51 . 41 . 81. 82. 11.9
1.51.51.41.21 . 11.7*1.31.2. 9
1 . 1
Aug.
3.94 .0
4.54.64 . 14 . 03.83 .94 . 13 .9
2.72 .63.33 .73. 12.32.62 .83 . 12 . 8
4 . 84 . 64 . 24 . 64 . 83.94 .0
3.-8';,.!
2 .01 .82.22 .72 . 41 . 51.71 .92 .12.0
1.92 .01.11.01.41.61.41.2
. 91 .4
Sept.
3.94 . 0
4 . 54.84 . 03 . 93 . 73 . 94 . 23 . 9
2 .62 . 63 .43 -83 .02 .42 .52 . 83 . 22 . 8
4 . 84 .34 .34 .54 . 43 . 83 . 9
3 . 83 . 9
2 . 01.82 .32 . 72 . 21 . 41-71 . 92. 11 . 9
1-91.71.0. 9
1 . 31 . 71.41.1. 8
1.2
Oct.
3.83 . 9
4.64.83.83 .83 .74 .04 .34 .1
2.52 .53.63 .92 .72 .32.42 .93 .32 . 9
5.04 . 14 . 14 . 74 . 83 . 83 . 8
4 .04 . 0
1 .91 .82 .32 . 92 . 01 . 51 .61 . 92. 22 . 0
2 . 21.51.0
. 81.81.51 . 41 . 0. 9
1.2
Nov.
3.74.0•i -7
4.75.03.33^83.84 . 14 . 34 . 0
2 . 42 . 73.74 . 12 .32.42 .52 -93.42 . 9
4 .74 . 14.34 . 85.23 . 83 . 6
4 . 04 . 1
1 .81 . 92.52 . 91 .81.61.51*92.22 . 0
2 .01.4
. 91.02.51.51.31.0
. 91.3
Dec.
3 .84.211 04.V4.73 .13 .83 .94.44.43 .9
2.42 .94 . 03 .81.92.52 .63.23.42 - 9
4 . 44 . 14 . 44 . 84 . 93.53 . 6
3.94.14 . 0
1 .91-92 .62 .71 .71 . 51.62 - 02«21 .9
1.71.3
. 91.12 .51.31.21.01.01.2
NOTE: In accordance with usual practice, BLS nas revised establishment survey datato reflect a new benchmark and updated seasonal adjustment factors. Because ofthese revisions, data beginning In 1975 may differ from data published earlier. See arti-cle In this issue for additional information.
1 5 9
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 161: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/161.jpg)
ESTABLISHMENT DATASTATE AND AREA LABOR TURNOVER
D-4. Labor turnover rates in manufacturing for selected States and areas[ Per 100 employees ]
State and a
Accession rates
1980 1980*
New hires
Mar.1980 19801 Mar.
1980Apr...198OP
totalMar. Apr._1980 1980p
QuitsMar. Apr-,1980 1980^
Layoff*Mar. Apr..-
1980 l$80p
ALABAMA:BirminghamMobile
ALASKA
ARIZONAPhoenix
ARKANSASFort SmithLittle Rock—North Little RockPine Bluff
CALIFORNIA
COLORADODenver—Boulder
CONNECTICUTHartford
DELAWAREWilmington
FLORIDAFort Lauderdale—Hollywood —Jacksonville ,MiamiOrlandoPensacolaTampa—St. PetersburgWest Palm Beach—Boca Raton .,
GEORGIA
Atlanta \
HAWAII ?
IDAHO.3
ILLINOIS:Chicago SMSADavenport—Rock Island—MolineDecaturPeoriaRockford
INDIANA4
Indianapolis?
IOWACedar RapidsDes Moines
KANSASTopekaWichita
KENTUCKYLexington—FayetteLouisville
LOUISIANA:New Orleans
MAINEPortland
MARYLANDBaltimore
2.77.5
(*)
4.24.3
4.63.74.63.0
4.5
(*)(*)
2.72.9
2.61.6
5.06. 13.35. 14. 12.64.75.2
3.93.2
1.7
3.4
2.71.43,22.02.6
2.72.5
2.72.02.3
3.93. 13.9
4.42.55.2
4.5
4.43.3
2.82.7
1.95.3
(*)
3.83.7
4.03.33.22.2
3.7
32.22.5
7.67.8
4.56.84.44.43.52.54.75.5
3.3
2.4
2.4
6.1
2.31.31.8.8
1.7
2.22.4
2.01.71.9
3. 15. 12.6
2.81.71.9
4.0
4.83.3
2.92.7
1.34.3
(*)
3.73.8
3.52.43.02.2
3.2
(*)(*)
2.12.4
1.6.7
4.35.62. 14.73.52.44.04.8
3. 12.4
1.3
1.8
1.81.02.4
.21.8
1. 11.2
1.51. 11.0
3. 12.73.2
1.41.4.7
4.0
3.22.9
1.71.5
1.23.6
(*)
3.23.2
3.01.82.42.0
2.6
(*)(*)
1.72. 1
1. 1. 8
3.86.52.64.03.22.33.74.7
2.61.8
1.4
1.7
1.6.7
1.0.4
1.4
. 81.3
1. 11.0. 8
2.42.52.2
1.31.0. 6
3.4
3.72.8
1.71.5
0.93. 1
(*)
.4
.4
. 8
.71.3. 5
1. 1
(*)(*)
.3
.2
.5
.5
. 5
.31. 1.4.3. 1.7.3
.6
. 5
.3
1.4
. 7
. 1
. 61.6. 6
1. 1. 9
1.0.7.4
. 5
.4
.6
2.7.7
3.9
.4
. 9
.2
. 91. 1
0.51.7
(*)
.5
.4
.6
.6
.5
. 1
. 8
.3
.2
6. 16.7
. 6
.21.8.4.2.2. 9.7
.4
.3
. 9
3.9
.4
.4
.5
.3
.2
. 9
.5
.7
.5
.4
. 62.6
.2
1. 1.3. 9
.3
. 8
.2
1.01.0
2.54.0
(*)
3.73.8
5.04.83.93. 1
4. 1
(*)(*).
2.31.9
2.32.3
5.45.84. 15. 14.32. 15.66.4
3.42.4
2.7
7. 1
3. 13.72.62.52.7
3.93.5
3.92.24.3
4.73.26.8
4.14.92.2
4.6
4.83.6
2.92.7
3.34.8
(*)•
3.73.7
6.46.74.44. 1
4.8
(*)(*)
2.91.9
7.77.5
5.98.03.95.94.01.55.67.7
3.72.2
3.7
15.8
3.53.04.33.43.0
4.73.8
4.32.87. 1
5.45.45.1
5.03.54.0
4.4
5.64.1
3.23.2
0.71.9
(*)
2.12.3
2.81.82. 11.7
1.9
(*)(*)
1.21.2
. 9
.5
3.13.71,83.23.21.33.32.9
2.21.5
1.2
1.4
1. 1.8.7.6
1.1
. 8
. 8
1.0.7.9
2.41.42.9
1. 11.0.5
2.3
2.42.0
1.1. 8
0.91.7
(*)
2.12.0
2.71.72.02.2
1.7
(*)(*)
1. 11.1
1.2.6
2.94.51.92.92.21.03.43.2
2. 11.0
1.4
1.4
1.2. 6. 5. 5
1.0
. 7
. 9
. 9
. 8
. 9
2.21.72 .1
. 9
. 8
. 4
2.2
2.52.3
1.0.8
0.91.4
(*)
.5
.5
1.21.9.7.5
1.2
3. 5.2
. 61.1
1.3. 5
1.51. 1.4. 5
1.31.6
.3
.2
.5
4.7
1.01.6. 6
1.3.9
2.02.0
2.21. 11.5
1.31.22.2
2 .12.9
. 7
. 8
1.6.7
1.21.2
1.61.8
(*)
. 8
. 8
2.73.81.71.1
2. 1
(*)(*)
1.2.2
5.96.4
1.82.01.12/1
,9.1
1.13.2
. 7
.4
1.6
12.5
1.31.82.72.51.4
3.11.8
2.81.64.6
2.12.7L9
3.32.02.5
.9
2.2.8
1.51.6
See footnotes at end of table.
160
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 162: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/162.jpg)
ESTABLISHMENT DATASTATE AND AREA LABOR TURNOVER
D-4. Labor turnover rates in manufacturing for selected States and areas—Continued[ Per 100 employees ]
State and area
Accession rates
Mar. Apr.1980 198QP
Mar. Apr.1980 1980p
Mar.1980
APr-r,1980p
Separation rates
Total
Mar. Apr.1980?
Mar. Apr.Layoffs
Mar. prn1980p
MASSACHUSETTSBoston
MICHIGANDetroitFlintGrand RapidsLansing—East Lansing
MINNESOTAMinneapolis-St. Paul
MISSISSIPPI:Jackson
MISSOURIKansasCltySt. Louis
MONTANA
NEBRASKA
NEVADA
NEW HAMPSHIRE
NEW JERSEY:Camden6
HackensackJersey CityNew Brunswick—Perth Amboy—SayrevilleNewarkPaterson—Clifton—PassaicTrenton
NEW YORKAlbany—Schenectady—TroyBinghamtonBuffaloElmiraMonroe County 7
Nassau—Suffolk*New York and Nassau—SuffolkNew York SMSA.8
NewYorkClty ?RochesterSyracuseUtlca—RomeWestchester County ?
NORTH CAROLINACharlotte—GastonlaGreensboro—Winston-Salem—High Point
NORTH DAKOTAFargo—Moorhead
OHIOAkronCantonCincinnatiClevelandColumbusDaytonToledo.Youngstown—Warren
OKLAHOMAOklahoma CityTulsa.1.0.
OREGON 4.Eugene—Springfield *Port land*.. . .
See footnotes at end of table.
3.73.1
2.92.42.03.23.8
3. 12.8
3.2
3. 12.82.4
1.6
2.9
6.3
4.6
2.93.63. 12.5
64.23.0
3.32.92.02.82.21.63.94.24.34.71.92.32.42.2
3.84.93.0
4.53.8
2.51.53.02.32.32.22.23. 13.0
5. 14.95.0
4.02.64.3
a2.52.31.63.21.4
2.62.4
3.2
2.72.62.3
1.6
2.6
4.3
4.5
2.22.93. 12.82.33.02.8
2.92.42.51.72.51.53.83.43.23.51.82.02.22.0
3.55.43.3
7.03.5
1.71.02.01.61.82.01. 11.51.5-
4.44.24.7
3.32. 13.6
2.82.4
.5
.5
. 1
.8
.1
2.52.4
2.4
2.02.01.3
1.0
2.5
5.7
3.9
1.82.81.71.92.42.81.7
2.01.21.5.9
1. 11.23.22.72.62.71.41.51.51.8
3. 14.32.7
2.92.7
.9
.81.01.31. 11.51.2.6.4
4.44.14.5
2.51.53. 1
.*)•)
1.51.41.32.21.0
1.91.9
2.6
1.82.01.3
.9
2. 1
4.0
3.5
1.32.41.71.61.72.01.7
1.71.11.3.7
1.51.13. 12.32.02. 11.21.31.21.5
2.94.72.7
2.31.6
.8
.51.0i. i.9
1.4.7.6.4
3.83.54.4
1.9.9
2.4
.5
.4
1.61.51. 12.0
.5
. 5
.3
. 5
. 9
. 6
1.0
. 5
.3
. 5
. 5
. 9
. 71.3.5. 8
1.21. 1
1.21.1.4
1.7.8.2. 6
1.31.61.8.4.6.8.2
.4
.3
. 1
1.0.6
i*)*). 4. 5.3
1.3. 9
1.0
(*)(*)
.7
.6
. 1,7.3
. 5
.3
. 5
. 7
.5
. 7
. 6
. 4
.2
. 8
.7
.41.2.3.3.8.9
1.0. 6. 8. 8. 7. 2. 6
1.01. 11.3.4.5.9
. 4
. 4
.3
4.21.4
(*)(*)*)
!!
. 4
. 4
. 2
1.3. 9
1.1
3.32.8
3.53.26.53.21. 1
3.53.0
3.5
3. 13.02.9
2.8
3.5
5.9
4.5
3.84.23.22.73.03.82.4
3. 12.42.62.23.11.53.83.63.63.81.93.02.72.5
3.65.32.9
8.57.6
2.81.72.42.33.12.21.92.54.8
5. 14.74.9
5.73.24.2
(*)(*)
3.02.41.43.81.2
4.33.5
3. 1
4.55.83.5
19.7
4.4
6.3
5.4
2.85.73.33.74.63.95.6
4.73.53.06.64. 12.83.85.56.06.63.04.33.52.6
4.05.83.7
6.413.4
4. 13.33.22.63.92.64.43.95.5
5.85. 5 ,5.5
7.84.55.4
1.61.2
.6
.5
.2
.8
.3
1.71.7
1.9
1.31.4
.8
.7
1.9
3.9
3.0
.91.91.21. 11.21.4. 9
1.0.6. 9. 5. 7. 6
1.91.31.21.2.7.7. 9
1. 1
2.33.72.0
3.42.7
.6
.5
.6
.7
.8
.8
.6
.4
.3
3.73.43.5
1.6.8
1.8
a1.0.9.4
1.6.5
1.61.5
1.9
1.41.5
.8
.8
2.0
3.7
2.9
.61.81. 11.21.21.2.7
1.1.7
1.0.4
1.0.6
2. 11.41.21.3. 7. 8. 9
1.0
2.54.02.2
2.61.9
.6
.3
.6
.8
.7
.8
.6
.3
.5
3.53. 13.4
1.5.8
1.8
. 8
. 7
2.32.15.41.7.4
1.2.8
. 4
1.21.01.6
1.5
.8
.8
.7
1.91.41.2.8.8
1.5.8
1.3.7
1.01.01.2. 4. 8
1.51.71.8.7
1.71.2.7
.5
.6
.2
3.23.8
1.5889
1.485
1.43.8
. 5
. 5
.3
3.21.41.4
(*)(*)
1.3.8. 1
1.3. 1
2. 11.3
.3
2.43.32.0
18.6
1.6
. 9
1.6
1.43.01.41.72.41.94. 1
2.81.81.55.4.6
1.6.9
3.34.04.51.72.92.01.0
.6
.7
.6
2.810. 1
2.92.51.51.22.21.33.02.84.3
1.31.5.8
5.62.92.8
161
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 163: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/163.jpg)
ESTABLISHMENT DATASTATE AND AREA LABOR TURNOVER
D-4. Labor turnover rates in manufacturing for selected States and areas—Continued[ Per 100 employees ]
PENNSYLVANIA :Allentown—-Bethlehem—Easton , . . .Aitoona . . . .ErieHarrisburghJohnstownLancaster , . , . . , .Northeast PennsylvaniaPhiladelphia SMSA . . .PittsburghReadingScranton. }l.Wilkes-Barre—Hazleton . I 1
WilliamsDort . .York
RHODE ISLANDProvidence—Warwick—Pawtucket
SOUTH CAROLINA .Charleston North CharlestonColumbiaGreenville—Spartanburg
SOUTH DAKOTA .Sioux Falls .
TENNESSEE:Memphis
TEXAS:Dallas—Fort WorthHoustonSan Antonio
UTAH 3.Salt Lake City—Ogden
VERMONTBur l i no ton .Spr ing f i e ld . . ' . , .
VIRGINIA .'Richmond
WASHINGTON: u
Seattle—Everett
WISCONSINMilwaukee ,
WYOMING
Accession ratesTotal
Mar.19&0
2.72. 33.42.22.81.92. 33.73. 02.22. 13.33.81.42.9
4. 34.3
3.63.65.03.9
2.41.8
2.9
5. 14.24.8
4 .44.4
3.42.73.2
2.82. 5
2.9
2.62. 5
6.4
2. 52.02. 12. 52. 53. 02. 53. 32.72. 12.62.93.82.22.4
4.34.2
3. 34.43.43.8
2.43.9
2. 5
5.53.94 .4
4 .94.8
2.62.72.4
2.72.0
2.6
2. 32 .4
8. 1
New hiresMar.1980
1.41.42. 11. 31.8.4
1.91.91.8.7
1.41.91.7.8
2.0
2 .92.9
2.83. 13.43. 5
1.61.4
1.8
4.54.04 .5
3.73.9
2.72.42.9
2.01. 7
2.2
1.31.3
5.3
Ap r . -1980P
1.31.21. 5. 9
1. 5.6
1.81.41.6.8
1.61.01. 51. 51.6
2.92.8
2.63.63. 13.3
1.2.7
1.8
4. 43.84.2
4 .04.4
2.02. 12. 0
1.91.4
1.9
1. 0. 9
7.2
RecallsMar.1980
1.0.7
1.2. 5.8
1.2. 4
1.51.01. 1
. 71.41. 7
CO
OO
1.21.3
.4
. 51.4.2
.6
.4
.9
. 3
.2
.2
. 6
. 4
. 5
. 1
.3
. 5
.2
.6
1. 0.8
1.0
1.0.6. 5
1. 1.9
1.9. 7
1.6.9
1.0. 9
1.82. 0
. 5
.7
1.21.2
.3
.6
. 1
.2
1. 13.2
. 5
.9
. 1
.2
.8
.4
.4
.4
.4
.6
. 1
. 5
1.01. 1
• 9
Separation ratesTotal
Mar.l?$0
3. 02.34.62.82.74.43.03.03. 12.63. 52.92 .94. 53. 1
4 .64.6
3.74.73.84.0
3.43.8
3. 1
4.84. 14. 7
4 .44. 5
2.61.82. 1
2.82.4
3.2
3.42.9
6.2
3. 33.01.43. 54.33.23. 13.43.43. 14. 03. 33.41.73. 3
5.05. 1
4. 14.34. 14.6
4.24.6
3.2
4.93.85.0
5. 15.3
3. 12. 12.2
3.41.9
4.0
5.25.0
10.4
Quits
Mar.1980
0.9.9.9. 7
1.2. 5
1.51.0.9. 4
1. 11.01.0
. 51. 3
1-91.9
2. 11.92.62.7
1.91.8
1. 1
3.42. 73.2
2.62.8
1. 3.7.9
1.3. 7
1.3
.8
. 7
3.6
Ap r . -1980p
0.8.8.6.6
1.2. 5
1.2.9
1. 0. 4
1.0. 9
1.0.4
1.2
2.22. 1
2.22.02. 12.8
1.41.2
1.4
3.32.53.2
2.83.0
1..51.01. 0
1.4.8
1.4
.8
.7
2.6
Layoffs
Mar.J98O
1.4.8
2. 61. 1.9
2.51. 01.41.41. 31.81.71.23.61.2
1-91.9
.61.5.2. 1
. 71.4
1.3
.4
.3
. 5
. 7
.4
.6
.7
.6
. 7
.2
1. 3
1.71.2
1.2
Apr._1980P
1.81.7.6
1.92. 5 ,2. 11.31.91. 72. 02 .42 .01.9
. 91.6
2.02.2
. 7
. 71.0
. 5
1.92.4
1.0
. 6
. 3
. 5
. 9
. 7
.8
.6
.4
1. 3. 3
2 . 1
3 . 53 . 1
5. 7
1 Excludes agricultural chemicals, and miscellaneous manufacturing.3 Excludes canned fruits, vegetables, preserves, jams, and jellies.3 Excludes canning and preserving, and sugar.
Excludes canning and preserving.5 Excludes canning and preserving, and newspapers.6 Subarea of Philadelphia, Pennsylvania Standard Metropolitan Statistical Area.7 Subarea of Rochester Standard Metropolitan Statistical Area.• Area included in New York and Nassau-Suffolk combined SMSA's.9 Subarea of New York Standard Metropolitan Statistical Area.
I ° Excludes new-hire rate for transportation equipment.I 1 Subarea of Northeast Pennsylvania Standard Metropolitan Statistical Area.12 Excludes canning and preserving, printing and publishing.
p-preliminary.* Not available.
SOURCE: Cooperating State agencies listed on inside back cover except for data for theState of California which are collected and calculated by the Bureau of Labor Statistics(Washington Office).
1 6 2
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 164: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/164.jpg)
STATE AND AREA UNEMPLOYMENT DATA
E-1. Labor fore* and unemployment by Stats and selected metropolitan areas
State and area
ALABAMABirminghamHuntsville . . . .MobileMontgomeryTuscaloosa . •
ALASKA
ARIZONAPhoenix . . . .Tucson
ARKANSASFayetteville-Springdale
Little Rock-North Little RockPine Bluff
Anaheim—Santa Ana—Garden Grove . . . . .BakersfieldFresnoLos Angeles-Long Beach2
ModestoOxnard-Simi Valley-VenturaRiverside—San Bernardino—OntarioSacramento . . . . .Salinas-Seaside-MontereySan Diego ,San Francisco—OaklandSan JoseSanta Barbara—Santa Maria—LornpocSanta RosaStockton
Vallejo-Fairfield-Nape
COLORADODenver—Boulder
CONNECTICUTBridgeportHartfordNew BritainNew Haven-WesiHavenStamford .Waterbury
DELAWARE
DISTRICT OF COLUMBIAWashington SMSA1
F LOR 10 A 1
Fort Lauderdale-HollywoodJacksonvilleMiamiOrlandoftnsacoia
West Palm Beach-Boca Raton
GEORGIA . .AlbanyAtlanta . . . .AugustaColumbus1
MaconSavannah
Labor force
MAY.1979
1,632.3375.8136.4182.2119.252.2
183.5
1,044.7638.0187.3
973.774.684.8
185.938.8
10,773.71,044.1
174.5258.5
3,419.0130.4218.7560.8449.9132.4714.7
1,568.6687.3142.8124.7161.7120.9
1,379.8818.3
1,581.4192.7380.8
74.9202.0120.5109.7
274.8242.1
317.81,604.2
3,811.5400.9299.3704.4309.4107.6588.9212.6
2,328.748.4
936.8120.684.796.887.5
APR.198C
1,619.4378.7135.5177.5116.351.9
185.3
1,101.1672.9199.C
956.977.280,5
184.736.4
11,080.11.C8C.9
176.1259.1
3,597.C131.C225.2582.C469.6128.1735.C
1,576.9717.7143.1126.3159.C123.1
1,431.9852.3
1,596.3194.2385.3
74.5206.6122.6109.1
27S.3245.5
314.6
3,9C4.1413.C296.6725.3316.1108.3596.223C.4
2.376.75C.5
953.1120.385.396.686.3
WAY.1980P
1,639.0362.C138.6177.4116.6
52.4
188.8
1,1C4.C675.7199.4
978.477.384.5
167.538.4
11,064.61,076.2
176.3265.. 7
3,581.0134.2224.3582.1465.2131.6732.5
1,563.7713.8143.7126.5164.8123.4
1,443.8857.4
1,614.2N.A.N.A.N.A.N.A.N.A.N.A.
26C.5245.e
317.3N.A.
3,907.7411.6299.5720.9320.4109.8597.723C.1
2,398.651.1 ,
963.3120.587.C97.787.4
Unemployment
Number
MY.1979
11C.I22.4
8 . 714.7
6 . 73 . 3
16.3
45.824.4
7 . 3
52.92.85.87 . 32.3
603.137.913.719.3
163.017.9U . 532.129.4
8 . 839.779.932.7
6 . 67 . 5
14.47.C
64.735*0
75.71C.316.5
3 . 69 . 84 . 36.0
19.415.9
23.267.1
193.919.414.638.514.7
5 . 327.012.2
109.72 . 7
41.06 . 65 . 45 . 35 . 0
APR.1980
122.126.610.812.1
7 . 03 . 6
20.3
62.634.2
9 . 8
59.63.56.67 . 71.6
773.445.217.125.9
225.019.915.541.340.113.549.284.838.9
8 . 19 . 5
19.79.5
72.939.2
77.79 . 5
15.63 . 5
11.24 . 66.6
20.7ie.9
18.861.4
188.517.013.735.514.C
5 . 127.71C.2
139.73 . 2
49.26 . 95 . 75 . 15 . 3
MY.198CP
134.529.112.912.2
7 . 54 . 0
17.8
67.637.710.5
68.64.27.89 . 12 . 1
44.812.523.0
219.018.614.844.136.210.449.681.739.2
7 . 79 . 6
17.49.0
75.140.6
80.8N.A.N.A.N.A.N.A.N.A.N.A.
16.815.4
19.4N.A.
2C6.518.115.837.716.9
5 . 930.412.1
150.13 . 9
51.37 . 66 . 75 . 65 . 9
labor-force
MY.1979
6 . 76 . 06 . 48 . 15 . 66 . 3
8 . 9
4 . 43 . 83 . 9
5 . 43.76.93 . 95 . 8
3 . 67 . 97 . 54 . 8
13.75 . 35 . 76 . 56 . 75 . 55 . 14 . 84 . 66 . 1e.95.8
4.74 . 3
4 . 85.34 . 34 . 84 . 83 . 65.4
7.16 . 6
7 . 34.2
5.14 . 84 . 95 . 54 . 64 . 94 . 65 . 7
4 . 75 . 64 . 45 . 56 . 45 . 55 . 8
tPH*1980
I
<
l<
i
4
i4
r.5r.o3.0i . 8b.Oi . 9
3.9
5.7S.It . 9
i . 2t . 58 . 54 . 14 . 8
4 . 29 . 7
10.06 . 2
15.26 . 97 . 18 . 5
10.66 . 75 . 45 . 45 . 77 . 5
12.47.7
5.14 . 6
4 . 94 . 94 . 14 . 75 . 43 . 76.0
7.47 . 7
6 . 03.8
4.84 . 14 . 64 . 94 . 44 . 74 . 64 . 4
5 . 96 . 45 . 25 . 86 . 75 . 36 . 2
HAY.1980P
8 . 27 . 69 . 36 . 96 . 37 . 5
9 . 4
6 . 15 . 65 . 3
7 . 05 . 49 . 34 . 85 . 4
4 . 27 . 18 . 66 . 1
14.06 . 67 . 67 . 87 . 96 . 85 . 25 . 55 . 47 . 6
10.67 . 3
5 . 24 . 7
5.0N.A.N.A.N.A.N.A.N.A.N.A.
6 . 06 . 3
6 . 1N.A.
5 . 34 . 45 . 35 . 25 . 35 . 45 . 15 . 3
6 . 37 . 65 . 36 . 37.75 . 86 . 8
See footnotes at end of table.
1 6 3
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 165: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/165.jpg)
STATE AND AREA UNEMPLOYMENT DATA
E-1. Labor force and unemployment by State and selected metropolitan areas—Continued
(Numberi in thousands)
Labor fore*
HAY.1579
394.731C.1
424.589.0
5*167.557.277.1
3,221.6178.1
c c •%99« 3166.9128.489.5
2,604.359.7
144.1195.4294.1588. C60.1e * •»D O . 3
142.C82.2
1*466.487.7
184.0
56.269.7
1*210.098.6
228.9
1*563.3165.8415.1
37.9
1*683.867.3
206.673.270.253.3
472.7151.2
48.7.737. <86. <
2*101.]1.C56.4
2t851.<1*389.<
8O.<i3»'
137.!116. (7 9 . <
272.<195.<
i
i
4*316.8142.21
APR.196C
402.6317.2
423.5
5*384.76C.262.6
3*362.3165.5
e c C3TI . Tt
174.C134.6
9 € . l
2*623.259.3142.1
195.43CC.C6CLC62.3C f 4)3 l » 1
143.462.2
1*471.29 1 . 2
186.5A A C55.<72.4
1,21C.98 . *
233.1i
1*577.5169.742C.7
39.6
1*720.4N.A.N.A.N'.A.N.A.N.A.N.A.N.A.
4 9 4 . 739.5see
2*107.31*048.7
2*632.6W393.5
79.61 c c13.6
137.9117.577.1
267.6193.1
4*233.3141. 1
MAY.198CP
399.7314.0
429.889.3
5,422.76C.663.6
3t380.C180.4
co O3T».T
174.7136.098.3
2*670.759.6144.0
199.0304.2614.2
61.9ou «u
144.982.C
1*486.791.3
186.5A 1 11 t . 155.872.C
1,221.899.0
233.0
1*587.6169.4424.8
39.9
1*717.8N.A.N.A.N.A.N.A.N.A.N.A.N.A.
496.639.190.3
2*135.11*063.6
2,87C.CW4C7.5
81.1f f . 3
140.5119.378.3
270.6195.6
4*321.4143.4
HAY.1979
25.319.2
21.63 .2
244.31 . 92 . 6
148.97 . 1t t3.. 17 . 15 . 64 . 2
143.43 . 46 . 79 .2
14.726.4
3.4•a 4
7 . 74 . C
54.83 . 36 . 9
2*64.53 . 5
36.43 . 67 . 6
7C.55 . 0
16.41 . 7
110.95 . 3
14.63 . 84 . 33 . 8
27.59 . 2
34.32 . 44 . 6
1C8.260*4
142*567.4
4.5A Q
7 .65*95 .5
11.68.2
31C.47 .7
Number
A P R .
1980
16.912.8
35.25.5
376.53 . 14 . 1
220.810.9
c c3 . T»
u.e9 .66 . 5
238.99 . 89 . 6
18*328.342.43.9C d.3.C
13.06 . 0
81.25 . 19 . 73.C3.73 . 9
52.04 . 6
1C.2
98.56 . 0
26.22 . 5
122.7N.A.~N.A.N.A.N.A.N.A.N.A.N.A.
40.52 . 85.C
126.C69.2
14L561.5
4.9K 13 . 17.55 .55 .7
13.28.2
523*411.6
MAY.198CP
17.413.1
33.85.6
396.03 .24 . 5
229.812.3
13.C11.4
6 . 6
279.411.410.619.632.649.2
4 . 6
15.36 . 2
83.35 . 7
11.3
3 . 13 .7
51.74 . 7
I C O
ICC.36 . 4
27.82 . 4
1 2 2 . 1N.A.N.A.N.A.N.A.N.A.N.A.N.A.
35.22 . 24 . 3
126.773.6
167.873.4
6 .0
8 .97 . 36 . 1
16*610.1
6C7.114.4
MAY.1979
6 . 46 . 2
5 . 13 .6
4 . 73 . 33 . 44 . 64 . 0
4 . 24 . 34 . 6
5 . 55 .74 . 64 . 75.04 . 55 . 6
5 . 44 . 9
3 . 73 .73 . 7
8.C5 .0
3 .03 .63 . 3
4 . 53 . C4 . 44 . 5
6 . 67 . 97 . 15*16*17 .25 .86 . 1
7 . C6 . 45 . 4
5.25 .7
5*04 . 85 . 5
5 . 55 . 16 . 94 . 24 . 2
7 .25 .4
Percent oftabor form
A P R *H8C
4 . 24 . 0
8 . 36 . 2
7 . 05 . 15 . 06 . 65 . 9
6 . 87 . 16*7
9 . 116.5
6 . 89 . 49 . 47 . 06 . 3
9 . 17 . 4
5 . 55 .65 . 2
6*65*4
4 . 34 . 64 . 4
6 . 23 . 56 . 26 . 3
7 . 1N.A.N.A.N.A.N.A.N.A.N.A.N.A.
8.27 . 25 . 5
6 . 06 . 6
5 .04 * 46 . 2
5 .44 . 77 . 34 . 94 . 2
12.48.2
HAY.1980P
4 . 44 . 2
7 . 96 . 3
7 . 35 . 45 * 46 . 86.6
1A £lv.«i7.48 . 46 . 7
10*519*2
7 . 49 . 9
10.78.07.5
• 4 iI J» *10.6
7 . 6
5.66*26 . 1
5 .65*2
4 . 24 . 74*3
6 . 33 .86 . 56 . 0
7 . 1
N.A.N.A.N.A.N.A.N.A.N.A.N.A.
7 . 15 . 74 . 8
6*06 . 9
5*85 .27.4Q JLQ*O
6*36 , 17 .96*15*2
14*010*0
HAWAIIHonolulu
IDAHOBoise City
ILLINOIS3
BloomiChampaign-Urbana-Rantoul . .ChicagoDavenport-Rock Island-Moline'Decatur
PeoriaRockfordSpringfield
INDIANAAndersonEvansville1
Fort WayneGary-Hammond^€ast Chicago .
Lafayette-West LafayetteMuncie ."South BendTerre Haute
IOWACedar RapidsDes MoinesDubuqueSioux City1
Waterloo-Cedar Falls
KANSASTopekaWichita
KENTUCKYLexington-FayetteLouisville1
Owensboro
LOUISIANAAlexandriaBaton RougeLafayetteLake CharlesMonroeNew OrleansShreveport
MAINELewiston-AuburnPortland
MARYLANDBaltimore
MASSACHUSETTS3
BostonBrocktonFall River1
LowellNew BedfordSpringfield-Chicopee-HolyokeWorcester
MICHIGAN 3
Ann Arbor
See footnotes at end of table.
164
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 166: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/166.jpg)
STATE AND AREA UNEMPLOYMENT DATA
E-1. Labor force and unemployment by State and selected metropolitan areas-Continued
(Numbers in thousands)
Labor force
FAY.1979
APR.isec
MAY.198CP
Number
M Y .1979
APR.1980
MAY.1980P
Percent oflabor force
MAY*1979
APR,1980
MAY.1980P
MICHIGAN—ContinuedBattle CreekBay CityDetroitFlintGrand RapidsJacksonKalamazoo-PortageLansing-East LansingMuskegon-Norton Shores-Muskegon HeightsSeginaw
MINNESOTADuluth-Superior1
Minneapolis-St: Paul
MISSISSIPPIJackson
MISSOURIKansas City1
St. JosephSt. Louis1
Springfield
MONTANABillingsGreat Falls
NEBRASKALincolnOmaha1
NEVADALas VegasReno
NEW HAMPSHIREManchesterNashua
NEW JERSEYAtlantic CityJtrsey CityLong Branch-Asbury ParkNewarkNew Brunswick-Perth Amboy-Sayreville . .Patarson-CHfton-PassaicTrentonVineland-Millville-Bridgeton
NEW MEXICOAlbuquerque
NEW YORK3
Albany-Schenectady-Troy
BuffaloElmiraNassau-SuffolkNew York
New York City'PoughkeepsieRochesterSyracuseUtica-Rome
NORTH CAROLINAAshevilleCharlotte-Gastonia
See footnotes at end of table.
80.251.2
2,048.7223.7309.368.7
131.7236.276*5
103.3
2.074.4117.5
1,096,7
997.5146.8
2,303.3697.744.6
1,088.8103.1
372.054.634.2
783.8111.2282.2
354.6193.3104.2
443.378.771.4
3,459.394.6
242.4219.6942.1315.7215.C156.859.0
535.7200.8
,843.7373.2138.7564.8
39.3,280.8•563.0•963.0104*5459.3300.4135*4
2,662.582.4
336.9
79.452.4
1.985.4223.33C9.265.2
134.2235.776.3
ICC.6
2.13C.5N.A.
1,123.9
1.CC8.5151.C
2,317.7688.844.6
NC86.C1C4.C
373.156.633.2
78C.7113.7282.9
371.32G4.4iCfl.l
452.5ec.e75.3
3,493.CS7.9
241 . t22C.1950.4323.2215.9161. S61.C
546.52C7.5
7.798.9373.C137.1569,7
39.4l»27C.C3.528.92.929.C
1C7.3459.4301.6135*3
2,732.C63*1
343.6
8C.754.1
2,036.C229.1314.266.5
134.7239.2
77.8104,0
2.157.2' N.A.
1,133.7
1.C3C.8154.1
2*343.8689.645.1
1*093.1105.0
378.356.633.4
803.0115.3283.3
373.02CS.2108.6
464.381.C76.0
3,552.81C2.3249.2226*3962.8327.2216.9162.e62.7
550.22C9.2
7.913.6375*7138.3574.2
39.41,278.63,606.73,CC2.C
107.3463.33CC.9136.6
2,759.183.7
347.0
5*53*8
144.316.216.04.97.5
13.76.76.9
81.16.5
33.5
50.85.3
e7.324.3
1*948.1
3.3
16.71.71.8
22.02.9
12.1
17.311*13*3
12.32*01*6
246.69.1
25.915.266.819.62C*C
€.75.2
33.412.4
459.414.95.9
28.71*9
6C.3260*9239.0
3.617*213.36.2
121.33*3
U.9
9.18.C
255,239.025.2
6.710.923*4
9.514.6
126*7N.A.48.2
65*06.3
142.440.8
3.C76.55.0
24.42.62.2
26.53.3
13*8
19.111.74.2
18.13.32.6
217.98*2
22.014.557.916 .117.38*6S.6
36.014.3
536.820.38*1
52.53*1
70*2245.2219.0
5.326.722.49.1
149.34.0
14*2
9.99.7
3CC.051*129*28*2
12.031.210.718.3
117.5K.A.49.5
70.77.6
155.043.63.0
61.C5*4
19*02.11*8
27.74*0
13.1
20*112.84.3
19.13.22.6
289.410.430*519.379.623.720.811.07.2
37.714.7
586.722.4
8.656.6
3,75.c
278*7251*0
5*329*623.49.3
166*94.3
17.7
6.87.47.07.35.27.25.75.88.76.7
3.95.53.1
5.13.6
3.8
4.44.43.2
4.53.15.3
2*82*64.3
4,95.73.2
2.82*52*3
7.19.7
1C.76.97.16.29.35.58.7
6.26*2
5*94.04,25*14*84.77.38.03.43.74.44.6
4.64*13*5
11.515.212,917.58,1
10.38.19.9
12.414.5
5.9K*A*4.3
6.44.2
6*1
6*77*04.8
6.54.56.7
3*42.94.9
5.15*73*9
4.04.13.5
6.26*49.16.66.15*08*05*39.2
7.06*9
6*95*45*99*27.95*56*97*55*05*87.46.7
5.54.84.1
12*217*914.722*39,3
12.38.9
13.013.817.6
5*4N.A*4.4
6*94.9
6.66.36*6
5*1
5.03.75*4
3*43*54*6
5*46*24*0
4*14.0
8*110.212.26.58.37.39.66.7
11.5
6.97.0
7*4•02
10
1 6 5
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 167: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/167.jpg)
STATE AND AREA UNEMPLOYMENT DATA
E-1. Labor force and unemployment by State and selected metropolitan areas—Continued
jNumbers in thousands)
Stataandaraa
NORTH CAROLINA—ContinueGreensboro—Winston-Salem—High PointRaleigh-Durham
NORTH DAKOTAFargo-Moorehead'
OHIO2
AkronCantonCincinnati!
ClevelandColumbusDaytonToledo1
Youngstown—Warren
OKLAHOMAOklahoma CityTulsa
OREGONEugene-SpringfieldPortland'Salem .
PENNSYLVANIA3
Allentown—Bethlehem—Easton1 . . . .AltoonaErieHarrisburg . . . . .JohnstownLancaster . . . . .Northeast PennsylvaniaPhiladelphia'PittsburghReadingWilliamsportYork
RHODE ISLANDProvidence—Warwick— Pawtucket'
SOUTH CAROLINA .Charleston—North CharlestonColumbiaGreenville—Spartanburg .
SOUTH DAKOTASioux Falls
TENNESSEEChattanooga *Knoxville .Memphis'Nashville-Davidson
TEXAS2
Amarillo
AustinBeaumont—Port Arthur—OrangeCorpus ChristiDallas-Fort Worth . . . .El PasoGalveston—Texas CityHoustonLubbock
San AntonioWaco .Wichita Falls
Laborf or c«
MAY.1979
415.7275.9
314.471.0
4,973.7301.2181.1650.0918.9530.5385.4364.1233.1
1.275.0383 6304.3
1,209.5126.3583.8111.3
5,208.6289.9
56.7123.6214.5106.7173.3276.9
2,079.1992.0148.651.7
169.2
448.3448.2
1,306.9153.5173.1259.0
344.762.6
1,983.0193.3204.2385.6411.4
6.C85.886.3
9A1 9
159.8138.8
1,429.6163.678.6
1,381.798.1
AflG A
76.558.0
APR.198C
427.62S7.2
313.C72. 6
4,957.3298.5162.9(56.9912.453C.7381.€367.1233.6
1,H9.2A l l *
312.1
1,238.3126.7617.8119.C
5,321.C297.6
59.5126.7217.€110.1176.9264.2
2,123.31.CC5.5
153.353.1
172.C
461.7456.9
1,267.6*5C3169.1251.5
341.361.4
1,978.3194.42C3.2381.441C.4
6,286.987.6
160.1141.5
1,503.8169*782.4
1,435.4101.3A l l A
79.459.4
MAY.1980P
426.0296.2
324.47«.2
5,034*8303.7165.5663.5923.1538.4385.3368.9239.2
1.327.CA l l 7
312.9
1,248.8129.5617.0119.9
5.3CC.9296.559.4
126.5216.8109.6
. 176.3282.1
2,122.71,004.2
152*452.3
171.4
455.5450.3
U279.2151.5170.3252.8
346.561.1
2,005.9197.1205.2386.6416.9
6,281.887.1
9 Aft ft
159.0140.6
1,504.3168.8
83.71,432.2
ICC.4Air i
80.059.5
Un ©in ploy m#nt
Number
MY.1979
15.98.6
1C.92.7
245.016.2
6 . 529.139.222.321.821.114.3
4C..111 3
6 . 9
80.11C.13 C C
7 . 3
293.815.3
4 . 17 . 76 . 77.C6 . 4
19.0129.247.5
7 . 23 . 87 . 2
26.526.6
59.57 . 56 . 29.3
1C.81.5
103.71C.4
8 . 119. C14.8
257.52 . 8
1C.16 . 4
49.113.4
4 . 547.4
3.79 9 9
3 . 12 . 0
APR.1980
21.311.C
14.34.1
362.621.613.342.456.925.826.138.623.5
49.41A 311.2
99.613.133.99 . 1
387.817.3
5 . 110.611.911.9
8 . 626.4
134.364.211.1
6.C10.5
33.333.4
75.49 . 26 . 7
11.7
12.62.4
125.812.9
9 . 92C.620.3
2S8.83 . 3
11.07 . 6
57.814.5
4 . 955.6
3.99 A 9
3 . 82 . 2
FAY.196CP
21.612.9
12.73.4
438.925.215.647.070.331.031.141.931.6
54.5
11.9
1C4.313.435.69 . 1
381.818.6
4 . 811.111.711.8
9 . 525.4
142.865.111.8
7 . 010.8
29.43C.0
83.010.1
7 . 613.5
12.62.3
14.710.122.024.8
314.53 . 5
10.88 . 0
64.314.9
4 . 857.2
4 .1
5.22.8
Pmrcantoflabor force
MAY.1979
3.63.1
3.53.8
4.95 . 44 . 74 . 54 . 34 . 25 . 75 . 86.1
3.1
2 . 9
6 . 6
e.c5 . 16 . 5
5 . 65 . 37 . 36 . 24 . 06 . 63 . 76 . 86 . 24 . 84 . 87 . 44 . 3
5 . 95 . 9
4 * 54 . 93 . 63.6
3.12 . 4
5 . 44 . 04 . 93 . 6
4 . 23 . 3
6 . 34 . 63 . 48 . 25 . 83 . 43 . 8
4 . 13 . 5
APR.1S80
5.03.7
4.65.6
7.37 . 27 . 2
, 6.56 . 24 . 96 . 8
10.610.1
3.7
3 . 6
8 . 010.2
5.57 . 7
7 . 35 . 88 . 58 . 45 . 5
IC.84 . 99 . 36 . 36 . 47 . 3
15.16 . 1
7 . 27 . 3
6 . 06 . 14 . 04.7
3.73 . 9
6 . 64 . 95 . 44 . 9
4 . 83 . 8
6 . 95 . 43 . 88 . 56 . 03 . 93 . 8
4 . 83 . 7
MAY.1980P
5*14.4
1(i
J.9t . 6
3.73.33.47 . 17 . 65 . 88 . 1
11.313.2
4.1
3 . 8
8 . 410.4
5.87 . 6
7 . 26 . 38 . 18 . 85 . 4
10.75*49 . 06 . 76 . 57 . 7
13.46 . 3
6 . 56 . 7
6 . 56 . 74 . 55.3
3.63.8
7 . 5
i
i
1
k.9) . 75.9
>.Ot.o1.5i.81.7t.a1.8J.7v.o
4 . 1
6 . 54 . 7
See footnotes at end of table.
1 6 6
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 168: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/168.jpg)
STATE AND AREA UNEMPLOYMENT DATA
E-1. Labor force and unemployment by State and selected metropolitan areas—Continued
(Numbers in thousands)
KAY.1979
APR.198C
M Y .198CP
Unemployment
HAY.1979
APR.198C 198CP
MAY.1979
APR.1980
MAY.198CP
UTAHSalt Lake City-Ogden 1
VERMONT
VIRGINIALynchburgNewport News-HamptonNorfolk-Virginia Beach-Portsmouth1
Petersburg-Colonial Heights-HopewelIRichmondRoanoke
WASHINGTONSeattle-EverettSpokaneTacoma
WEST VIRGINIACharlestonHuntington-Ashland'Parkersburg-Marietta'Wheeling1
WISCONSINAppletonOshkoshEau Claire .»Green BayKenoshaLa Crosse
MilwaukeeRacine
WYOMING
582.6384.9
237.2
2*479.175.6
158.3324.258.6
324.6109.0
1*900.8823.5151.1175.2
748.9125.6124.770.081.9
2*375.3149.358.787.961.646.1
177.5719.888.0
222.4
596.5
395.C
234.1
2*498.176.7
164.1325.66C.5
33C.C110.7
1*926.1845.6149.8173.3
758.C127.6126.57C.581.1
2*415.9154.559.49C.263.447.9
186.7735.Cee.e
226.1
6C7.3400.4
237.5
2*522.9N.A.N.A.N.A.N.A.N.A.N.A.
1*921.9838.9151.017C.4
755.3128.5127.27C.482.0
2.424.1155.259.79C.46C.348.3
188.1737.89C.3
232.2
23.815.5
11.1
IC6.62.97.4
16.42.9
1C.63.9
119.642.19.2
12.5
45.64.55.43.34.2
94.85.82.94.32.62.C5.9
25.43.5
4.8
3C.819.5
13.2
111.63.27.5
17.72.9
10.34.2
151.251.111.314.7
71.78.99.65.87.3
155.59.C4.25.93.42.48.3
38.25.5
8.2
32.020.3
13.4
119.6KNK .N .N .K .
142.G50.811.815.1
63.98.99.86.07.0
163.19.75.35.39.02.47.9
40.26.9
7.8
4.14.0
4.7
4.33.84.75.14.93.33.6
6.35*16.17.1
6.13.64.34.75.2
4.03.94.94.94.24.43.33.53.9
2.2
5.14.9
5.7
4.54.24.65.44.83.13.8
7.96.07.58.5
9.57.07.68.29.0
6.45.97.16.65.34.94.55.26.2
3.6
5.3
5.1
5.6
4.7N.A.N.A.N.A.N.A.N.A.N.A.7.46.17.88.8
8.56.97.78*59.5
6.76.28.95.9
14.95.14.25.47.7
3.4
1 Includes interstate portion of area located in adjacent State.3 Data are obtained directly from the Current Population Survey. (See"Explanatory Notes" for
State and Area Unemployment Data in Employment and Earnings, monthly.)
visional and will be revised when new benchmark information becomes available. Data refer 1place of residence.
p-preliminary.N.A -not available.
NOTE: Estimates for 1979 have been benchmark*! to 1979 Currant Population Survey annualaverages. Except in the 10 States and 2 areas designated by footnote 2, estimates for 1980 are pro
SOURCE: Current Population Survey and Cooperating State Employment Security Agencies listed cinside back cover.
Labor force and unemployment estimates for counties, cities, and other small areas have been prepared for administration of various Federal economic assistanceprograms and may be ordered from the National Technical Information Service. When ordering, please specify "CETA Area Employment and Unemployment,""State, County, and Selected City Employment and Unemployment," and "Unemployment Rates for State and Local Governments." A complete set of price schedulesand publications is available from the National Technical Information Service, U.S. Department of Commerce, 5285 Port Royal Road, Springfield Virginia, 22161.
1 6 7
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 169: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/169.jpg)
Explanatory Notes
Introduction
The statistics in this periodical are estimated from two majorsources: (1) Household interviews, and (2) reports from employers.
Data based on household interviews are obtained from a samplesurvey of the population 16 years of age and over. The survey is con-ducted each month by the Bureau of the Census for the Bureau ofLabor Statistics and provides comprehensive data on the labor force,the employed and the unemployed, including such characteristics asage, sex, race, family relationship, marital status, occupation, and in-dustry attachment. The survey also provides data on thecharacteristics and past work experience of those not in the laborforce. The information is collected by trained interviewers from asample of about 65,000 households, representing 629 areas in 1,133counties and independent cities, with coverage in 50 States and theDistrict of Columbia. The data collected are based on the activity orstatus reported for the calendar week including the 12th of the month.
Data based on establishment records are obtained each month frommail questionnaires by the Bureau of Labor Statistics, in cooperationwith State agencies. The establishment survey is designed to provideindustry information on nonagricultural wage and salary employ-ment, average weekly hours, average hourly and weekly earnings, andlabor turnover for the Nation, States, and metropolitan areas. Theemployment, hours, and earnings series are based on payroll reportsfrom a sample of establishments employing about 35 millionnonagricultural wage and salary workers. The data relate to allworkers, full- or part-time, who received pay during the payroll periodwhich includes the 12th day of the month. Based on a somewhatsmaller sample, labor turnover data relate to actions occurring duringthe entire month.
RELATION BETWEEN THE HOUSEHOLD AND ESTABLISH-MENT SERIES
The household and establishment data supplement one another,each providing significant types of information that the other cannotsuitably supply. Population characteristics, for example, are readilyobtained only from the household survey whereas employercharacteristics such as detailed industrial classifications can be reliablyderived only from establishment reports.
Data from these two sources differ from each other because of dif-ferences in definition and coverage, sources of information, methodsof collection, and estimating procedures. Sampling variability andresponse errors are additional reasons for discrepancies. The majorfactors which have a differential effect on levels and trends of the twoseries are as follows.
Employment
Coverage. The household survey definition of employment compriseswage and salary workers (including domestics and other privatehousehold workers), self-employed persons, and unpaid workers whoworked 15 hours or more during the survey week in family-operatedenterprises. Employment in both agricultural and nonagricultural in-
dustries is included. The payroll survey covers only wage and salaryemployees on the payrolls of nonagricultural establishments.
Multiple jobholding. The household approach provides informationon the work status of the population without duplication, since eachperson is classified as employed, unemployed, or not in the laborforce. Employed persons holding more than one job are counted onlyonce and are classified according to the job at which they worked thegreatest number of hours during the survey week. In the figures basedon establishment reports, persons who worked in more than oneestablishment during the reporting period are counted each time theirnames appear on payrolls.
Unpaid absences from jobs. The household survey includes among theemployed all persons who had jobs but were not at work during thesurvey week—that is, were not working but had jobs from which theywere temporarily absent because of illness, bad weather, vacation,labor-management dispute, or because they were taking time off forvarious other reasons, even if they were not paid by their employersfor the time off. In the figures based on payroll reports, persons onleave paid for by the company are included, but not those on leavewithout pay for the entire payroll period.
For a comprehensive discussion of the differences betweenhousehold and establishment survey employment data* see Gloria P.Green's article "Comparing Employment Estimates from Householdand Payroll Surveys," Monthly Labor Review, December 1969.Reprints of this article are available upon request from the Bureau ofLabor Statistics.
Hours of work
The household survey measures hours actually worked whereas thepayroll survey measures hours paid for by employers. In thehousehold survey data, all persons with a job but not at work are ex-cluded from the hours distributions and the computations of averagehours. In the payroll survey, production or nonsupervisory employeeson paid vacation, paid holiday, or paid sick leave are included andassigned the number of hours for which they 'were paid during thereporting period.
COMPARABILITY OF THE HOUSEHOLD DATA WITH OTHERSERIES
Unemployment insurance data. The unemployed total from thehousehold survey includes all persons who did not have a job at allduring the survey week and were looking for work or were waiting tobe called back to a job from which they had been laid off, regardlessof whether or not they were eligible for unemployment insurance.Figures on unemployment insurance claims, prepared by the Employ-ment and Training Administration of the Department of Labor, ex-clude persons who have exhausted their benefit rights, new workers
169
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 170: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/170.jpg)
who have not earned rights to unemployment insurance, and personslosing jobs not covered by unemployment insurance systems (someworkers in agriculture, domestic services and religious organizations,self-employed and unpaid family workers). Beginning in January1978, coverage was extended to include domestic workers whoseemployers paid $1,000 or more in wages in any calendar quarter,agricultural employees whose employers engaged 10 or more workersin 20 weeks or paid a total of $20,000 or more in wages in any calendarquarter, and almost all State and local government employees.
In addition, the qualifications for drawing unemployment compen-sation differ from the definition of unemployment used in thehousehold survey. For example, persons with a job but not at workand persons working only a few hours during the week are sometimeseligible for unemployment compensation but are classified asemployed rather than unemployed in the household survey.
For an examination of the similarities and differences between Stateinsured unemployment and total unemployment, see "MeasuringTotal and State Insured Unemployment" by Gloria P. Green in theJune 1971 issue of the Monthly Labor Review. Reprints of this articlemay be obtained upon request.
Agricultural employment estimates of the Department of Agriculture.The principal differences in coverage are the inclusion of personsunder 16 in the Statistical Research Service (SRS) series and the treat-ment of dual jobholders who are counted more than once if they workon more than one farm during the reporting period. There are alsowide differences in sampling techniques and collecting and estimatingmethods, which cannot be readily measured in terms of impact on dif-ferences in level and trend of the two series.
COMPARABILITY OF THE PAYROLL EMPLOYMENT DATAWITH OTHER SERIES
Statistics on manufactures and business, Bureau of the Census. BLSestablishment statistics on employment differ from employment
counts derived by the Bureau of the Census from its censuses or an-nual sample surveys of manufacturing establishments and the censusesof business establishments. The major reasons for some noncom-parability are different treatment of business units considered parts ofan establishment, such as central administrative offices and auxiliaryunits, the industrial classification of establishments, and differentreporting patterns by multiunit companies. There are also differencesin the scope of the industries covered, e.g., the Census of Business ex-cludes professional services, public utilities, and financialestablishments, whereas these are included in the BLS statistics.
County Business Patterns. Data in County Business Patterns (CBP),published by the Bureau of the Census, U.S. Department of Com-merce, differ from BLS establishment statistics in the treatment ofcentral administrative offices and auxiliary units. Differences mayalso arise because of industrial classification and reporting practices.In addition, CBP excludes interstate railroads and government, andcoverage is incomplete for some of the nonprofit activities.
Employment covered by State unemployment insurance programs.Most nonagricultural wage and salary workers are covered by theunemployment insurance programs. Beginning in January 1972,coverage was expanded to include employees of small firms andselected nonprofit activities who had not .been covered previously.However, certain activities, such as interstate railroads, parochialschools, and churches are not covered by unemployment insurancewhereas these are included in the BLS establishment statistics. Begin-ning in January 1978, coverage was extended to include domesticworkers whose employers paid $1,000 or more in wages in any calen-dar quarter, agricultural employees whose employers engaged 10 ormore workers in 20 weeks or paid a total of $20,000 or more in wagesin any calendar quarter, and almost all State and local governmentemployees.
Household data(A tables)
COLLECTION AND COVERAGE
Statistics on the employment status of the population, the personal,occupational, and other characteristics of the employed, theunemployed and persons not in the labor force, and related data arecompiled for the BLS by the Bureau of the Census in its CurrentPopulation Survey (CPS). A detailed description of this survey ap-pears in Concepts and Methods Used in Labor Force Statistics Deriv-ed from the Current Population Survey, BLS Report 463. This reportis available from BLS upon request.
These monthly surveys of the population are conducted with ascientifically selected sample designed to represent the civiliannoninstitutional population. Respondents are interviewed to obtaininformation about the employment status of each member of thehousehold 16 years of age and over. Separate statistics are also col-lected and published for 14 and 15 year olds. The inquiry relates to ac-tivity or status during the calendar week, Sunday through Saturday,which includes the 12th of the month. This is known as the surveyweek. Actual field interviewing is conducted in the following week.
Inmates of institutions, members of the Armed Forces, and personsunder 14 years of age are not covered in the regular monthly enumera-tions and are excluded from the population and labor force statisticsshown in this report. Data on members of the Armed Forces, who are
included as part of the categories "total noninstitutional population"and "total labor force," are, however, obtained from the Departmentof Defense.
Each month, 65,000 occupied units are eligible for interview. About2,800 of these households are visited but interviews are not obtainedbecause the occupants are not at home after repeated calls or areunavailable for other reasons. This represents a noninterview rate forthe survey of between 4 or 5 percent. In addition to the 65,000 oc-cupied units, there are 12,000 sample units in an average month whichare visited but found to be vacant or otherwise not to be enumerated.Part of the sample is changed each month. The rotation plan providesfor three-fourths of the sample to be common from 1 month to thenext and one-half to be common with the same month a year earlier.
Beginning in September 1975, the sample was enlarged by 9,000households in order to provide greater reliability for smaller Statesand thus permit the publication of annual statistics for all 50 Statesand the District of Columbia. These supplementary households wereadded to the national 47,000 household sample in January 1978.
Over the period November 1978 to April 1979 the sample was againenlarged by 9,000 households. This was done to permit the publicationof reliable quarterly estimates for the 50 States and the District of Col-umbia. These supplementary households were added to the 56,000household sample in January 1980.
170
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 171: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/171.jpg)
CONCEPTS
Employed persons comprise (a) all those who during the surveyweek did any work at all as paid employees, in their own business,profession, or farm, or who worked 15 hours or more as unpaidworkers in an enterprise operated by a member of the family, and (b)all those who were not working but who had jobs or businesses fromwhich they were temporarily absent because of illness, bad weather,vacation, labor-management dispute, or personal reasons, whether ornot they were paid by their employers for the time off, and whether ornot they were seeking other jobs.
Each employed person is counted only once. Those who held morethan one job are counted in the job at which they worked the greatestnumber of hours during the survey week.
Included in the total are employed citizens of foreign countries,temporarily in the United States, who are not living on the premises ofan Embassy.
Excluded are persons whose only activity consisted of work aroundthe house (such as home housework, and painting or repairing ownhome) or volunteer work for religious, charitable, and similarorganizations.
Unemployed persons comprise all persons who did not work duringthe survey week, who made specific efforts to find a job within thepast 4 weeks, and who were available for work during the survey week(except for temporary illness). Also included as unemployed are thosewho did not work at all, were available for work, and (a) were waitingto be called back to a job from which they had been laid off; or (b)were waiting to report to a new wage or salary job within 30 days.
Duration of unemployment represents the length of time (throughthe current survey week) during which persons classified asunemployed had been continuously looking for work. For persons onlayoff, duration of unemployment represents the number of fullweeks since the termination of their most recent employment. Aperiod of 2 weeks or more during which a person was employed orceased looking for work is considered to break the continuity of thepresent period of seeking work. Measurements of mean and medianduration are computed from a distribution of single weeks ofunemployment.
Unemployed persons by reasons for unemployment are divided intofour major groups. (1) Job losers are persons whose employment end-ed involuntarily who immediately began looking for work and personson layoff. (2) Job leavers are persons who quit or otherwise ter-minated their employment voluntarily and immediately began lookingfor work. (3) Reentrants are persons who previously worked at a full-time job lasting 2 weeks or longer but were out of the labor force priorto beginning to look for work. (4) New entrants are persons who neverworked at a full-time job lasting 2 weeks or longer.
Jobseekers are all unemployed persons who made specific efforts tofind a job, sometime during the 4-week period preceding the surveyweek. Jobseekers do not include persons unemployed because they (a)were waiting to be called back to a job from which they had been laidoff or (b) were waiting to report to a new wage or salary job within 30days. Jobseekers are grouped by the methods used to seek work, in-cluding going to a public or private employment agency or to anemployer directly, seeking assistance from friends or relatives, placingor answering ads, or utilizing some "other" method. Examples of the"other" category include being on a union or professional register,obtaining assistance from a community organization, or waiting at adesignated pick-up point.
The civilian labor force comprises the total of all civilians classifiedas employed or unemployed in accordance with the criteria describedabove. The "total labor force" also includes members of the ArmedForces stationed either in the United States or abroad.
The unemployment rate represents the number unemployed as apercent of the civilian labor force. This measure can also be computedfor groups within the labor force classified by sex, age, marital status,race, occupation, industry, etc. The job-loser, job-leaver, reentrant,and new entrant rates are each calculated as a percent of the civilian
labor force; the sum of the rates for the four groups thus equals thetotal unemployment rate.
Participation rates represent the proportion of the noninstitutionalpopulation that is in the labor force. Two types of participation ratesare published. The total labor force participation rate, which is theratio of the total labor force and the total noninstitutional population;and the civilian labor force participation rate, which is the ratio of thecivilian labor force and the civilian noninstitutional population. Par-ticipation rates are usually published for sex-age groups, often cross-classified by other demographic characteristics such as race andeducational attainment.
Employment-population ratios represent the proportion of thenoninstitutional population that is employed.
Not in labor force includes all civilians 16 years and over who arenot classified as employed or unemployed. These persons are furtherclassified as "engaged in own home housework," "in school,""unable to work" because of long-term physical or mental illness, and"other." The "other" group includes for the most part retired per-sons, those reported as too old to work, the voluntarily idle, andseasonal workers for whom the survey week fell in an "off" seasonand who were not reported as unemployed. Persons doing only in-cidental unpaid family work (less than 15 hours) are also classified asnot in the labor force.
For persons not in the labor force, data on previous work ex-perience, intentions to seek work again, desire for a job at the time ofinterview, and reasons for not looking for work are compiled on aquarterly basis. As of January 1970, the detailed questions for personsnot in the labor force are asked only in those households that are inthe fourth and eighth months of the sample, i.e., the "outgoing"groups, those which had been in the sample for 3 previous months andwould not be in for the subsequent month. Between 1967 and 1969,the detailed not-in-labor force questions were asked of persons in thefirst and fifth months in the sample, i.e., the "incoming" groups.
Occupation, industry, and class of worker for the employed applyto the job held in the survey week. Persons with two or more jobs areclassified in the job at which they worked the greatest number ofhours during the survey week. The unemployed are classified accor-ding to their last full-time civilian job lasting 2 weeks or more. The oc-cupation and industry groups used in the CPS are defined as in the1970 Census of Population. Information on the detailed categories in-cluded in these groups is available upon request.
The class-of-worker breakdown specifies "wage and salaryworkers," subdivided into private and government workers, "self-employed workers," and "unpaid family workers." Wage and salaryworkers receive wages, salary, commission, tips, or pay in kind from aprivate employer or from a government unit. Self-employed personsare those who work for profit or fees in their own business, profes-sion, or trade, or operate a farm. Unpaid family workers are personsworking without pay for 15 hours a week or more on a farm or in abusiness operated by a member of the household to whom they arerelated by blood or marriage.
Hours of work statistics relate to the actual number of hours work-ed during the survey week. For example, a person who normallyworks 40 hours a week but who was off on the Columbus Day holidaywould be reported as working 32 hours even though he/she was paidfor the holiday.
For persons working in more than one job, the figures relate to thenumber of hours worked in all jobs during the week. However, all thehours are credited to the major job.
The distribution of employment by hours worked relate to persons"at work" during the survey week. At work data differ from data ontotal employment because the latter include persons in the zero-hourworked category, "with a job but not at work." Included in this lattergroup are persons who were on vacation, ill, involved in a labordispute, or otherwise absent from their jobs for voluntary,noneconomic reasons.
171
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 172: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/172.jpg)
Persons who worked 35 hours or more in the survey week aredesignated as working "full-time." Correspondingly, persons whoworked between 1 and 34 hours are designated as working "parttime." Part-time workers are classified by their usual status at theirpresent job (either full or part time) and by their reason for workingpart time during the survey week (economic or other reasons)."Economic reasons" include: Slack work, material shortages, repairsto plant or equipment, start or termination of a job during the week,and inability to find full-time work. "Other reasons" include: Labordispute, bad weather, own illness, vacation, demands of homehousework, school, no desire for full-time work, and full-time workeronly during the peak season. Persons on full-time schedules include,in addition to those working 35 hours or more, those who workedfrom 1-34 hours for noneconomic reasons and usually work full time.
Full- and part-time labor force. The full-time labor force consists ofpersons working on full-time schedules, persons involuntarily workingpart time (part time for economic reasons), and unemployed personsseeking full-time jobs. The part-time labor force consists of personsworking part time voluntarily and unemployed persons seeking part-time work. Persons with a job but not at work during the survey weekare classified according to whether they usually work full or part time.
Labor force time lost is a measure of aggregate hours lost to theeconomy through unemployment and involuntary part-time employ-ment and is expressed as a percent of potentially available aggregatehours. It is computed by assuming: (1) That unemployed personslooking for full-time work lost an average of 37.5 hours (2) that thoselooking for part-time work lost the average number of hours actuallyworked by voluntary part-time workers during the survey week, and(3) that persons on part time for economic reasons lost the differencebetween 37.5 hours and the actual number of hours they worked.Race. White and "black and other" are terms used to describe therace of workers. The "black and other category," includes all personswho identified themselves in the enumeration process to be other thanwhite. At the time of the 1970 Census of Population, 89 percent of theblack and other population group were black; the remainder wereAmerican Indians, Alaskan Natives, and Asian and PacificIslanders. The term "black" is used in this volume when the relevantdata are provided exclusively for the black population.
Hispanic origin refers to persons who identified themselves in theenumeration process as Mexican, Puerto Rican living on themainland, Cuban, Central or South American or other Hispanicorigin or descent. According to the 1970 Census of population, ap-proximately 96 percent of their population is white.
Major activity: going to school and major activity: other are termsused to describe whether the activity of young persons during thereference week is primarily one of going to school or not. Statistics onmajor activity are published every month in table A-7 for 16-21 year-olds by employment status, race, and sex, and, if unemployed,whether seeking full- or part-time work.
Vietnam-era veterans are those who served in the Armed Forces ofthe United States between August 5, 1964, and May 7, 1975. Tablesfor veterans in this volume are limited to males in the civiliannoninstitutional population, i.e., veterans in institutions and femalesare excluded.
Nonveterans are males who never served in the Armed Forces.Poverty areas classification consists of all Census geographical divi-
sions in which 20 percent or more of the residents were poor accordingto the 1970 Decennial Census. Persons were classified as poor or non-poor by using income thresholds adopted by a Federal interagencycommittee in 1969. These thresholds vary by family size, composition,and residence (farm-nonfarm). While poverty areas have a substantialconcentration of low-income residents, many poor persons live out-side these areas and, conversely, the areas include many people whoare not poor.
The metropolitan areas classification consists of the total of allareas encompassed by Standard Metropolitan Statistical Areas(SMSA's). The metropolitan area total is based on the number of
SMSA's as defined in the 1970 Decennial Census and does not includeany subsequent additions or changes. Nonmetropolitan areas refer tothe total of all areas outside SMSA's. The nonmetropolitan total isdisaggregated into farm and nonfarm components.
HISTORIC COMPARABILITY
Raised lower age limit
Beginning with data for 1967, the lower age limit for officialstatistics on persons in the labor force was raised from 14 to 16 years.A detailed discussion of this and other definitional changes introducedat that time, incuding estimates of their effect on the various series iscontained in "New Definitions for Employment and Unemployment"by Robert L. Stein in the February 1967 issue of Employment andEarnings and Monthly Report on the Labor Force. Reprints may beobtained upon request.
Noncomparablllty of labor force levels
Before the changes introduced in 1967, the labor force data werenot comparable for three earlier periods: (1) Beginning 1953, as aresult of the introduction of data from the 1950 census into the estima-tion procedure, population levels were raised by about 600,000; laborforce, total employment, and agricultural employment by about350,000, primarily affecting the figures for totals and males; othercategories were relatively unaffected; (2) beginning 1960, the inclusionof Alaska and Hawaii resulted in an increase of about 500,000 in thepopulation and about 300,000 in the labor force, four-fifths of this innonagricultural employment; other labor force categories were not ap-preciably affected; (3) beginning 1962, the introduction of figuresfrom the 1960 census reduced the population by about 50,000, laborforce and employment by about 200,000; unemployment totals werevirtually unchanged. In addition, beginning 1972, information fromthe 1970 census was introduced into the estimation procedures, pro-ducing an increase in the civilian noninstitutional population of about800,000; labor force and employment totals were raised by a littlemore than 300,000, and unemployment levels and rates were essential-ly unchanged. A subsequent population adjustment based on the 1970census was introduced in March 1973. This adjustment affected thewhite and black and other groups but had little effect on totals. Theadjustment resulted in the reduction of nearly 300,000 in the whitepopulation and an increase of the same magnitude in the black andother population. Civilian labor force and total employment figureswere affected to a lesser degree; the white labor force was reduced by150,000, and the black and other labor force rose by about 210,000.Unemployment levels and rates were not significantly affected.
Beginning in January 1974, the methodology used to prepare in-dependent estimates of the civilian noninstitutional population wasmodified to an "inflation-deflation" approach. This change in thederivation of the population estimates had its greatest impact onestimates of 20-24 year-old males—particularly those of the black andother population—but had little effect on 16 and over totals. Addi-tional information on the adjustment procedure appears in "CPSPopulation Controls Derived from Inflation-Deflation Method ofEstimation" in the February 1974 issue of Employment and Earnings.
Effective July 1975, as a result of the immigration of Vietnameserefugees into the United States, the total and black-and-other indepen-dent population controls for persons 16 years and over were adjustedupward by 76,000—30,000 males and 46,000 females. The addition ofthe refugees increased the black-and-other population by less than 1percent in any age-sex group, and all of the changes were in the"other" population.
Beginning in 1978, the introduction of an expansion of the sampleand revisions in the estimation procedures resulted in an increase ofroughly a quarter of a million in the overall civilian labor force andemployment totals; unemployment levels and rates were essentiallyunchanged. An explanation of the procedural changes and an indica-
172
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 173: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/173.jpg)
tion of the differences appear in "Revisions in the Current PopulationSurvey in January 1978" in the February 1978 issue of Employmentand Earnings,
Beginning in October 1978, the race of the individual was determin-ed by the household respondent for the incoming rotation grouphouseholds, rather than determined by the interviewer as before. Thepurpose of this change is to provide more accurate estimates ofCharacteristics by race. Thus, in October 1978, one-eighth of the sam-ple households had race determined by the household respondent andseven-eighths of the sample households had race determined by inter-viewer observation. It was not until January 1980 that the entire sam-ple had race determined by the household respondent. Although anyimpact of this change is still unknown, it is possible that it has causeda break in the time series for some racial statistics.
Beginning in 1979, the first stage ratio estimation method waschanged in the CPS estimation procedure. The new procedure isdescribed in the Estimating Methods section. The reasoning behindthe change and an indication of the differences appear in "Change inthe Estimation Procedure for the Current Population Survey beginn-ing in January 1979" in the February 1979 issue of Employment andEarnings. Differences between the old and new procedures exist onlyfor metropolitan and nonmetropolitan estimates, not for the totalU.S.
Changes In the occupational classification system
Beginning with 1971, the comparability of occupational employ-ment data was affected as a result of changes in census occupationalclassifications introduced into the Current Population Survey (CPS).These changes stemmed from an exhaustive review of the classifica-tion system to be used for the 1970 Census of Population. This review,the most comprehensive since the 1940 census, was to reduce the sizeof large groups, to be more specific about general and "not elsewhereclassified" groups, and to provide information on emerging signifi-cant occupations. Differences in March 1970 employment levelstabulated on both the 1960 and 1970 classification systems rangedfrom a drop Of 650,000 in operatives to an increase of 570,000 in ser-vice workers, much of which resulted from a shift between these twogroups; the nonfarm laborers group increased by 420,000, andchanges in other groups amounted to 220,000 or less.
An additional major group was created by splitting the operativescategory into two: Operatives, except transport, and transport equip-ment operatives. Separate data for these two groups first becameavailable in January 1972. At the same time, several changes in titles,as well as in order of presentation, were introduced; for example, thetitle of the managers, officials, and proprietors group was changed to"managers and administrators, except farm," since only proprietorsperforming managerial duties are included in the category.
Apart from the effects of revisions in the occupational classificationsystem beginning in 1971, comparability of occupational employmentdata was further affected in December 1971, when a question elicitinginformation on major activities or duties was added to the monthlyCPS questionnaire in order to determine more precisely the occupa-tional classification of individuals. This change resulted in severaldramatic occupational shifts, particularly from managers and ad-ministrators to other groups. Thus, meaningful comparisons of oc-cupational levels cannot always be made for 1972 and subsequentyears with earlier periods. However, revisions in the occupationalclassification system as well as in the CPS questionnaire are believedto have had but a negligible impact on unemployment rates.
Additional information on changes in the occupational classifica-tion system of the CPS appears in "Revisions in OccupationalClassifications for 1971" and "Revisions in the Current PopulationSurvey" in the February 1971 and February 1972 issues, respectively,of Employment and Earnings.
Changes In sample design
Since the inception of the survey, there have been various changes inthe design of the CPS sample. Most of these changes were made inorder to improve the efficiency of the sample design and/or to in-crease the reliability of the sample estimates.
One major change made after every decennial census is to changethe sample design to make use of the recently collected censusmaterials. Also, occasionally the sample is expanded in terms ofnumber of sample areas and number of sample persons. In 1953, arotation plan was introduced in which a sample unit would be inter-viewed for 4 months, leave the sample for eight months, and thenreturn to the sample for another 4 months. When Alaska and Hawaiiachieved statehood, three more sample areas were added to the sampleto account for the population in these States. After the 1960 census,selection of a major portion of the sample from census address listswas begun, though a portion of the sample is still collected using areasampling. Following the 1970 census, the ultimate sampling unit waschanged from a non-contiguous cluster of six housing units to a usual-ly contiguous cluster of four housing units. In January 1978, a sup-plemental sample of 9,000 housing units, selected in 24 States and theDistrict of Columbia and designed to provide more reliable annualaverage estimates for States, was incorporated with the existingdesign. A coverage improvement sample composed of approximately450 sample household units which represent 237,000 occupied mobilehomes and 600,000 new construction housing units, was included incomputing the estimates beginning in October 1978 in order to providecoverage of mobile homes and new construction housing units thatpreviously had no chance for selection in the CPS sample. A recentchange was introduced in January 1980, when another supplementalsample of 9,000 households selected in 32 States and the District ofColumbia to provide more reliable quarterly average estimates forStates, was added to the existing sample.
The following table provides a description of some aspects of theCPS sample design in use during the referenced data collectionperiods. For a more detailed account of the history of the CPS sampledesign, see The Current Population Survey: Design and Methodology,Technical Paper No. 40, Bureau of the Census, U.S. Department ofCommerce, or Concepts and Methods used in Labor Force StatisticsDerived from the Current Population Survey, BLS Report 463.
ESTIMATING METHODS
Under the estimating methods used in the CPS, all of the results fora given month become available simultaneously and are based onreturns from the entire panel of respondents. There are not subse-quent adjustments to independent benchmark data on labor force,employment, or unemployment. Therefore, revisions of the historicaldata are not an inherent feature of this statistical program.
The CPS estimation procedure involves weighting the data fromeach sample person. The basic weight, which is the inverse of the pro-bability of the person being in the sample, is a rough measure of thenumber of actual persons that the sample person represents. In Statessupplemented in the 1978 and 1980 expansions, almost all sample per-sons within the same sample area have the same basic weight, but theweight may differ across sample areas. The basic weight is the samefor almost all sample persons in unsupplemented States. The basicweights are then adjusted for noninterview, and the ratio estimationprocedure is applied.
1. Noninterview adjustment. The weights for all interviewedhouseholds are adjusted to the extent needed to account for occupiedsample households for which no information was obtained because ofabsence, impassable roads, refusals, or unavailability of the respon-dent for other reasons. This adjustment is made separately by com-binations of sample areas within each State and the District of Colum-bia, and within these, for six groups—two race categories (white, and
173
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 174: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/174.jpg)
Time periodNumber of
sampleareas
Households eligible
InterviewedNot
interviewed
Householdsvisited noteligible2
Aug. 1947 to Jan. 1954Feb. 1954 to Apr. 1956.May 1956 to Dec. 1959 .Jan.1960 to Feb. 1963 .Mar. 1963 to Dec. 1966.Jan. 1967 to July 1971 .Aug. 1971 to July 1972.Aug. 1972 to Dec, 1977.Jan. 1978 to Dec. 1979Jan. 1980 to present . .
682303303333
357449449461614629
21,00021,00033,50033,50033,50048,00045,00045,00053,50062,200
500-1,000500-1,000
1,5001,5001,5002,0002,0002,0002,5002,800
3,000-3,5003,000-3,500
6,0006,0006,0008,5008,0008,000
10,00012,000
Beginning in May 1956, these areas were chosen to providecoverage in each State and the District of Columbia.
2 These are housing units which were visited, but were found
to be vacant or otherwise not eligible for Interview.Three sample areas were added in 1960 to represent Alaska
and Hawaii after statehood.
black and other) within three residence categories. For sample areaswhich are Standard Metropolitan Statistical Areas (SMSA's), theseresidence categories are the central cities, and the urban and the ruralbalance of the SMSA's. For other sample areas, the residencecategories are urban, rural nonfarm, and rural farm. The proportionof sample households not interviewed varies from 4 to 5 percentdepending on weather, vacations, etc.2. Ratio estimates. The distribution of the population selected for thesample may differ somewhat, by chance, from that of the populationas a whole, in such characteristics as age, race, sex, and residence.Since these characteristics are closely correlated with labor force par-ticipation and other principal measurements made from the sample,the latter estimates can be substantially improved when weighted ap-propriately by the known distribution of these populationcharacteristics. This is accomplished through two stages of ratioestimates as follows:
a. First-stage ratio estimate. In the CPS, a portion of the 629 sampleareas is chosen to represent other areas not in the sample; the re-mainder of the sample areas represent only themselves. The first-stageratio estimation procedure was designed to reduce the portion of thevariance resulting from requiring sample areas to represent nonsampleareas. Therefore, this procedure is not applied to sample areas whichrepresent only themselves. The procedure is performed at twogeographic levels: First, by the four census regions (Northeast, NorthCentral, South and West), and secondly, for each of the 46 Stateswhich contains nonsample areas. The procedure corrects for the dif-ferences that existed at the time of the 1970 census between thedistribution by race and residence of the population in the sampleareas and the known race-residence distribution in the portions of thecensus region or State represented by these areas. The regional adjust-ment is performed by metropolitan-nonmetropolitan residence andrace, while the State adjustment is done by urban-rural status andrace.
b. Second-stage ratio estimate. In this stage, the sample proportionin the categories described below are adjusted to the distribution of in-dependent current estimates of the population in the same categories.The second-stage ratio estimate is done in order to increase thereliability of the estimates and is done in three steps. In the first step,the sample estimates are adjusted within each State and the District ofColumbia to an independent control for the population 16 years and
over for the State. The second step involves "nonwhite" persons only,and is an adjustment to independent estimates of 40 age-sex-racecategories across the whole Nation. (The race categories used areblack and other minority races.) The third adjustment is applied to allsample persons and is a weighting to nationwide independent popula-tion estimates within 68 age-sex-race groups. The entire second-stageratio estimation procedure is iterated six times, each time beginning atthe weights developed the previous time. This iteration ensures thatthe sample estimates both of State population and of national age-sex-race categories, will be virtually equal to the independent populationestimates.
The independent controls by State for the civilian noninstitutionalpopulation 16 years and over are an arithmetic extrapolation of thetrend in the growth of this segment of the population from the April 1,1970 census through the latest available July 1 estimate, adjusted as alast step to a current estimate of the U.S. population of this group.State estimates by age for July 1 are published annually in CurrentPopulation Reports, Series P-25. For a description of themethodology used in developing the State total, see Report 640 of thatseries. Descriptions of the age estimates methodology are available onrequest from the Chief of the Population Division, U.S. Bureau of theCensus, Washington, D.C. 20233.
Prior to January 1974, the independent national controls used forthe age-sex-race groups in both the second and third steps of thesecond-stage ratio estimation procedure were prepared by carryingforward the most recent census data (1970) after taking account ofsubsequent aging of the population, births, deaths, and migration bet-ween the United States and other countries. Beginning in 1974, the"inflation-deflation" method of deriving independent populationcontrols was introduced into the CPS estimation procedures. These in-dependent controls are prepared by inflating the most recent censuscounts to include the estimated net census undercount by age, sex, andrace, aging this population forward to each subsequent month andlater age by adding births and net migration, and subtracting deaths.These post-censal population estimates are then "deflated" to censuslevel to reflect the pattern of net undercount in the most recent censusby age, sex, and race. The actual percent change over time in thepopulation in any age group is preserved.
3. Composite estimate procedure. In deriving statistics for a givenmonth, a composite estimating procedure is used which takes account
174
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 175: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/175.jpg)
of net changes from the previous month for continuing parts of thesample (75 percent) as well as the sample results for the currentmonth. Almost all estimates of month-to-month change are improvedby this procedure, and most estimates of levels are also improved, butto a lesser extent.
Rounding of estimates
The sums of individual items may not always equal the totals shownin the same tables because of independent rounding of totals and com-ponents to the nearest thousand. Differences, however, are insignifi-cant.
Reliability of the estimates
There are two types of errors possible in an estimate based on asample survey—sampling and nonsampling. The standard errors pro-vided primarily indicate the magnitude of the sampling error. Theyalso partially measure the effect of some nonsampling errors inresponse and enumeration but do not measure any systematic biases inthe data.
Nonsampling errors. The full extent of nonsampling error isunknown, but special studies have been conducted to qualify somesources of nonsampling error in the CPS as discussed below. The ef-fect of nonsampling error should be small on estimates of relativechange, such as month-to-month change. Estimates of monthly levelswould be more severely affected by the nonsampling error.
Nonsampling errors in surveys can be attributed to many sources,e.g., inability to obtain information about all cases in the sample,definitional difficulties, differences in the interpretation of questions,inability or unwillingness of respondents to provide correct informa-tion, inability to recall information, errors made in collection such asin recording or coding the data, errors made in processing the data, er-rors made in estimating values for missing data, and failure to repre-sent all sample households and all persons within sample households(underco verage).
Nonsampling errors occurring in the interview phase of the surveyhave been studied by means of a reinterview program. This program isused to estimate various sources of error as well as to evaluate andcontrol the work of the interviewers. A random sample of each inter-viewer's work is inspected through reinterview at regular intervals.The results indicate, among other things, that the data published fromthe CPS are subject to moderate systematic biases. A description ofthe CPS reinterview program and some of the other results may befound in the Current Population Survey Reinterview Program,January 1961 through December 1966, Technical Paper No. 19,Bureau of the Census. U.S. Department of Commerce.
The effects of some components of nonsampling error in the CPSdata can be examined as a result of the rotation plan used for the sam-ple, since the level of the estimates vary by rotation group. A descrip-tion of these effects appears in the article "The Effects of RotationGroup Bias on Estimates from Panel Sureys," by Barbara A. Bailar,Journal of the American Statistical Association, Volume 70, No. 349,March 1975.
Undercoverage in the CPS results from missed housing units andmissed persons within sample households. Overall undercoverage ascompared to the level of the decennial census, is about 5 percent. It isknown that the CPS undercoverage varies with age, sex, and race.Generally, undercoverage is larger for males than for females andlarger for black and other races than for whites. Ratio estimation toindependent age-sex-race population controls, as described previous-ly, partially corrects for the biases due to survey undercoverage.However, biases exist in the estimates to the extent that missed personsin missed households or missed persons in interviewed householdshave different characteristics than interviewed persons in the sameage-sex-race group. Further, the independent population controls us-
ed have not been adjusted for undercoverage in the 1970 census, whichwas estimated at 2.5 percent of the population, with differentials byage, sex, and race similar to those observed in the CPS.
Additional information on nonsampling error in the CPS appears inthe paper, "An Error Profile: Employment as Measured by the Cur-rent Population Survey," by Camilla Brooks and Barbara Bailar,Statistical Policy Working Paper 3, U.S. Department of Commerce,Office of Federal Statistical Policy and Standards; in the paper "TheCurrent Population Survey: An Overview," by Marvin Thompsonand Gary Shapiro, Annals of Economic and Social Measurement,Vol. 2, April 1973; and in The Current Population Survey, Design andMethodology, Technical Paper No. 40, Bureau of the Census, U.S.Department of Commerce. This last document includes a comprehen-sive and up-to-date discussion of various sources of errors, anddescribes attempts to meaure them in the CPS.
Sampling error. The standard error is primarily a measure of sampl-ing variability, that is, of the variation that occurs by chance because asample rather than the entire population is surveyed. The sampleestimate and its estimated standard error enables one to construct con-fidence intervals, ranges that would include the average of all possiblesamples with a known probability. For example, if all possiblesamples were selected, each of these surveyed under essentially thesame general conditions and using the same sample design, and anestimate and its estimated error were calculated from each sample,then:
1. Approximately 68 percent of the intervals from one standard er-ror below the estimate to one standard error above the estimate wouldinclude the average result of all possible samples.
2. Approximately 90 percent of the intervals from 1.6 standard er-rors below the estmate to 1.6 standard errors above the estimate wouldinclude the average of all possible samples.
3. Approximately 95 percent of the intervals from 2 standard errorsbelow the estimate to 2 standard errors above the estimate would in-clude the average result of all possible samples.
In order to derive standard errors that would be applicable to alarge number of estimates and could be prepared at a moderate cost, anumber of approximations were required. First, the standard errors inthis report reflect the sample design and estimation procedures in ef-fect prior to the expansions for State estimates. Thus, these standarderrors may slightly overstate the standard errors applicable to the pre-sent design. Secondly, instead of computing an individual standarderror for each estimate, generalized sets of standard errors were com-puted for various types of characteristics. This generalization yieldsmore stable estimates of the standard errors. Consequently, the sets ofstandard errors provided give an indication of the order of magnitudeof the standard of an estimate rather than the precise standard error.
Tables A and B show approximate standard errors for majoremployment status characteristics for both monthly estimates and forchanges for consecutive months. These standard errors are applicableto the level of the estimates in recent months.
Tables C through G provide generalized standard errors for mon-thly level and month-to-month change for estimated totals, unemploy-ment rates, and percentages. Table H contains factors for use withtable G for computing standard errors, as described below, for mon-thly level and month-to-month change for percentages. Standard er-rors for intermediate values not shown in the tables may be approx-imated by linear interpolation. The standard error for estimatedchanges from one month to the next is more closely related to themonthly level for the characteristic than to the size of the specificmonth-to-month change itself. Thus, in order to use the generalizedstandard errors for month-to-month change as given in the tables ofstandard errors, it is necessary to obtain the monthly estimate for thecharacteristic. It should be noted that the tables of standard errors formonth-to-month change apply only to estimates of change betweentwo consecutive months. Estimates of change for nonconsecutivemonths are subject to higher standard errors. Table I contains factorsfor use with tables C, E, G and H to compute approximate standarderrors, as described below, for levels, labor force participation rates,
176
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 176: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/176.jpg)
and percentages as pertaining to year-to-year change of monthlyestimates, quarterly averages, changes in quarterly averages, yearlyaverages and changes in yearly averages. Note that standard errors forchanges in quarterly and yearly estimates apply only to consecutivequarters and years. For years prior to 1967, the standard errors mustbe adjusted due to the differences in the sample size. For years prior to1956, the standard errors should be multiplied by 1.S0 and for the1956-1966 period they should by multiplied by 1.22.
Table A. Standard errors of major employment
status categories
(In thousands)
Employment status, sex,age, and race
Total, 16 years and over:Civilian labor force
EmployedUnemployed
Males, 20 years and over:Civilian labor force
EmployedUnemployed
Females, 20 years and over:Civilian labor force
EmployedUnemployed
Both sexes, 16-19 years:Civilian labor force
EmployedUnemployed
Black and other, 16 years and over:Civilian labor force
EmployedUnemployed
Males, 20 years and over:Civilian labor force
EmployedUnemployed
Females, 20 years and over:Civilian labor force
EmployedUnemployed
Both sexes, 16-19 years:Civilian labor force
EmployedUnemployed
Standard error of—
Monthlylevel
Month-to-month change(consecutivemonths only)
223236107
124135
16816764
808456
788554
444933
626234
333029
171180111
10711871
12913167
859469
606557
384335
484936
373532
Standard errors for estimated totals. Tables C and D providegeneralized standard errors for monthly totals and for month-to-month change. The figures given in these tables are to be used for thecharacteristics as indicated.
Illustration. Assume that the tables showed that the number of per-sons working a specific number of hours was 12,000,000, an increaseof 400,000 over the previous month. Linear interpolation in the se-cond column of table C shows that the standard error on an estimate
of 12,000,000 is about 150,000. The 68 percent confidence interval asshown by these data is from 11,850,000 to 12,150,000. Therefore, aconclusion that the average estimate derived from all possible sampleslies within a range computed in this way would be correct for roughly68 percent of all possible samples. Recall that the standard error of amonth-to-month change is primarily dependent on the size of themonthly estimate. Thus, using linear interpolation in column one oftable D the standard error on a month-to-month change of 400,000when the monthly level is approximately 12,000,000 is about 111,000.
Standard errors for rates and percentages. The reliability of anestimated unemployment rate or an estimated percentage, computedusing sample data for both numerator and denominator, depends onboth the size of the rate or percentage and the total upon which therate or percentage is based. Estimated rates and percentages arerelatively more reliable than the corresponding estimates of thenumerator of the rates or percentages; this is particularly true forpercentages of 50 percent or more. As a general rule, percentages arenot published when the monthly base is less than 75,000 or the annualaverage base is less than 35,000.
Tables E and F show generalized standard errors for monthly leveland month-to-month change for unemployment rates.
Generalized standard errors for estimated monthly percentages andestimated month-to-month change in percentages can be obtainedthrough the use of the standard errors in table G and the factors intable H. First obtain the standard error from table G for the specificpercentage and base. The generalized standard error is then calculatedby multiplying the standard error from table G by the appropriate fac-tor from table H. When the numerator and denominator of thepercentage are in different categories, use the factor indicated by thenumerator of the percentage.
Illustration. For example, assume that the tables show that 3.6 per-cent of a total of 90,771,000 employed persons are employed inagriculture. First the standard error on an estimate of 3.6 percent witha base of 90,771,000 is obtained from table G (0.09 percentage point).The appropriate factor from table H for the numerator of the percen-tage, agricultural employment, is 1.26. The generalized standard erroron the estimated 3.6 percent is then approximately 0.09 x 1.26=0.1percentage point.
Standard errors for year-to-year change of monthly estimates,quarterly averages, changes in quarterly averages, yearly averages andchanges in yearly averages. The approximate standard errors of levels,rates and percentages involving year-to-year change of monthlyestimates, quarterly averages, changes in quarterly averages, yearlyaverages and changes in yearly averages may be obtained by usingtable I in conjunction with the other tables. Standard errors forestimates of change are more closely related to the level of the estimatethan to the size of the specific change. Thus, to obtain the standard er-ror of an estimate of an average level, rate or percentage, or anestimate of a change in level, rate or percentage, it is first necessary tofind the appropriate estimate of level. For an estimate of an averagelevel, rate or percentage, find the standard error of this estimate. Foran estimate of change in level, rate or percentage, find the standard er-ror of the average of the two estimates affecting the change. Then,after computing the standard error by treating these estimates as mon-thly estimates and using the procedures above, multiply this result by asuitable factor from table I to obtain the approximate standard errorfor the average or change.
Illustration. For an example, suppose that one is interested in theyear-to-year change of a monthly unemployment rate. Let us assumethat the tables show that for a certain month the unemployment rate is6.9 percent based on a total of 95,676,000 in the civilian labor force,and that a year prior to this the unemployment rate was 6.1 percentbased on a total of 94,254,000 in the civilian labor force for themonth. First, the standard error on the average of the two estimates,6.5 percent with a base of 94,965,000, is obtained from table E (0.11percentage point). The appropriate factor then from table I is 1.40.The approximate standard error on the change of 0.8 percentage pointis then given by 0.11x1.40=0.15 percentage point.
176
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 177: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/177.jpg)
Table B. Standard errors of unemployment rates for major characteristics
Selected categories
Total (all civilian workers)Males, 20 years and overFemales, 20 years and overBoth sexes, 16-19 yearsWhite workersBlack (and other) workersMarried men, spouse presentMarried women, spouse present . . . .Full-time workersPart-time workersUnemployed 15 weeks and over . . . .
OCCUPATION
White-collar workersProfessional and technicalManagers and administrators,except farm
Sales workersClerical workers
Blue-collar workersCraft and kindred workers
Standard error of—
MonthlyIBV0I
.11
.13
.17
.55
.11
.45
.12
.21
.11
.32
.06
.12
.18
.19
.37
.23
.20
.27
Consecutivemonth change
.11
.13
.18
.65
.11
.47
.13
.22
.12
.40
.07
.13
.20
.21
.41
.26
.22
.30
Selected categories
OCCUPATION—Continued
Blue collar workers—ContinuedOperatives, except transportTransport equipment operatives . . . .Nonfarm laborers
Service workersFarm workers
INDUSTRY
Nonagricultural private wage andsalary workers
ConstructionManufacturing *.
Durable goodsNondurable goods
Transportation and public utilities . .Wholesale and retail tradeFinance and service industries
Government workersAgricultural wage and salary workers . . .
Standard error of—
Monthlylevel
.35
.49
.62
.31
.55
.12
.58
.22
.27
.36
.31
.25
.17
.211.09
Consecutivemonth change
.40
.55
.71
.34
.62
.13
.66
.24
.30
.40
.35
.28
.19
.231.24
Table C. Standard errors for estimates of monthly level(In thousands)
Estimatedmonthly
level
501005001,0002,0004,0006,0008,00010,00015,00020,00030,00040,00050,00060,00070,00080,000100,000120,000.
Characteristics1
Agriculturalemployment
1318415781
113137
Labor force data other thanunemployment and agricultural employment data
Totalor
white
101432456490
109125139166188219249253260260254221143
Blackand
other
10143244607988908736
Totalor
white,16-19 years
101432446077848476
Black andother, ,
16-19 years
1014283313
Total orwhite males
only, orfemales only
9133042598299
11312414616117717816413149
Black andother
males only,or
females only
913294052605316
Unemployment
Totalor
white
101431446287
106122135163182
Blackand
other
11153346638393
When determining the standard esror of an estimate for agroup which is a subset of the age, sex, race groups listed, use thestandard error for the next larger group, e.g., when determining the
standard error on the estimated number of employed persons age20 to 54 years use the column for total employed.
177
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 178: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/178.jpg)
Table D. Standard errors for estimates of month-to-month change
(In thousands)
Estimated monthly level
Type of characteristicl
Labor force data other than unemployment and agriculture employment data
Totalor
white
Blackandother
Total, orwhite,
16-19 years
Black andother,
16-19 years
Unemployment
Totalor
white
Both sexes16-19 years,or part-timelabor force2
Blackand
other
Blackand other,16-19 years
501005001,000...2,000...4,000 ...6,000 ...8,000 ...10,000..15,000..20,000 ..30,000..40,000 .50,00060,000 .70,00080,000 ,100,000120,000
811243447668193103123130163179189194195191179119
8112333455865686533
121737527089969378
12173337
111635486893110123132145146
1217395577107129147162191211
121636496580
12173439
lSee footnote 1, table C.Part-time labor force for unemployment also includes persons
reentering the labor force, persons who left their last job, andpersons by duration of unemployment.
Table E. Standard errors of unemployment rates
Monthly base of unemploymentrate (In thousands)
Monthly unemployment rate
• 1 10 15 20 25 30 35 50
50100.. . .5001,000..2,000 . .4,000 . .6,000 . .10,000 .20,000.60,000.100,000
2.051.45
.65
.46
.32
.23
.19
.15
.11
.06
.04
2.882.04
.91
.65
.46
.32
.26
.21
.15
.08
.06
4.493.181.421.01.71.50.41.32.23.12.10
6.184.371.961.38.98.69.57.44.31.17.13
7.365.202.331.651.17.83.67.52.37.20.16
8.255.832.611.841.31.92.75.59.41.23.18
8.936.322.822.001.421.00
.82
.63
.45
.25
.19
9.466.692.992.121.501.06
.86
.67
.47
.26
.20
9.856.973.122.211.561.10.90.70.49.27.21
10.367.333.282.321.641.16.94.73.51.28.22
178
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 179: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/179.jpg)
Table F. Standard errors of month-to-month change in unemployment rates
Monthly base of unemploymentrate (In thousands)
Monthly unemployment rate
10 15 20 25 30 35 50
50 . . . .100 . . . .500 . . . .1,000...2,000 . . .4 ,000 . . .6 ,000. . .10,000 .20,000 .60,000 .100,000,
2.321.64.74.52.37.26.21.16.11.06.05
3.282.321.04
.73
.52
.37
.30
.13
.15
.09
.07
5.123.621.621.15
.81
.57
.47
.36
.24
.13
.10
7.105.022.251.591.12.79.64.49.33.18.13
8.526.022.691.901.34
.94
.76
.59
.39
.21
.14
9.646.813.042.151.511.06.86.65.44.22.14
10.057.113.17
'2.241.571.10
.89
.67
.48
.23
11.398.053.582.521.761.22
.97
.72
.51
11.978.393.732.621.831.261.00
12.558.873.932.741.891,26
Table G. Standard errors of estimated percentages and month-to-month change in percentages for
labor force data
Monthly base of percentages(In thousands)
Percentage of monthly level
1or 99
2or 96
5or 95
10or 90
15or 85
20or 80
25or 75
30or 70
35or 65
50
50 . . . .100 . . . .500 . . .1,000 .2,000 . ,4,000 .6,000 ..10,000 .20,000 ,40,000 .60,000 .80,000 .100,000160,000
2.031.43
.64
.45
.32
.23
.19
.14
.10
.07
.06
.05
.05
.04
2.852.02
.90
.64
.45
.32
.26
.20
.14
.10
.08
.07
.06
.05
4.443.141.41
.99
.70
.50
.41
.31
.22
.16
.13
.11
.10
.08
6.124.321.931.37
.97
.68
.56
.43
.31
.22
.18
.15
.14
.11
7.285.152.301.631.15.81.66.51.36.26.21.18.16.13
8.155.772.581.821.29
.91
.74
.58
.41
.29
.24
.20
.18
.14
8.836.242.791.971.40
.99
.81
.62
.44
.31
.25
.22
.20
.16
9.346.612.952.091.481.04
.85
.66
.47
.33
.27
.23
.21
.17
9.726.883.072.171.541.09
.89
.69
.49
.34
.28
.24
.22
.17
10.197.213.222.281.611.14
.93
.73
.51
.36
.29
.25
.23
.18
NOTE: The standard errors in this table must be multiplied bythe factors in table H to obtain the approximate standard error for
a specific type of characteristic.
Table H. Factors to be used with Table G to compute approximate standard errors for percentages andmonth-to-month changes in percentages
Type of characteristic
Agricultural employment:Total or full-time labor force . . .Part-time labor force
Labor force data other than agri-cultural employment data and un-employment data:
TotalMales onlyFemales onlyBoth sexes, 16-19 yearsPart-time labor force
Factor
1.261.26
1.00.93.86
1.001.00
Month-to-monthchange
1.051.50
.74
.84
.751.181.18
Type of characteristic
Unemployment:Part-time labor force, duration
of unemployment, left last job,reentering labor force
All other unemploymentcharacteristics:
Total or white:TotalBoth sexes, 16-19 years
Black and other:TotalBoth sexes, 16-19 years . . . .
Factor
Monthly level
1.01
.97., .97
1.041.04
Month-to-month
change
1.21
1.081.21
1.131.24
170
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 180: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/180.jpg)
Table I. Factors to be used with Tables C, E, G, H to compute the approximate standard errors of level, rates andpercentages for year-to-year change of monthly estimates, quarterly averages, change in quarterly averages, yearlyaverages and change in yearly averages
Type of characteristic
Agricultural employment:
Total or maleFemale or teenagers (16-19years) •
Part time
Labor force data other than agri-cultural employment data andunemployment data:
Total or whiteBlack and other or teenagers
(16-19 years)Part time
Unemployment:
TotalPart time
Factors
Year-to-year changeof monthly estimate
1.30
1.301.40
1.30
1.301.40
1.401.40
Quarterlyaverages
.89
.83
.74
.88
.82
.74
.76
.69
Change in quarterlyaverages
.80
.80
.80
.88
.88
.88
.88
.88
Yearlyaverages
.72
.58
.46
.67
.57
.46
.50
.39
Change in yearlyaverages
.70
.70
.70
.70
.70
.60
.65
.54
180
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 181: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/181.jpg)
Establishment data(B, C, and D tables)
COLLECTION
Payroll reports provide current information on wage and salaryemployment, hours, earnings, and labor turnover in nonagriculturalestablishments, by industry and geographic location.
Federal-State cooperation
Under cooperative arrangments, responding establishments reportemployment, hours, and earnings data and/or labor turnover data toState agencies. State agencies mail the forms to the establishments andexamine the returns for consistency, accuracy, and completeness. TheStates use the reported data to prepare State and area series and alsosend the reported data to the BLS (Washington Office) for use inpreparing the national series. This avoids a duplicate reporting burdenon establishments, and together with the use of similar estimatingtechniques at the national and State levels, promotes increased com-parability between estimates.
Shuttle schedules
Two types of data collection schedules are used: Form BLS790—Report on Employment, Payroll, and Hours; and Form DL1219—Monthly Report on Labor Turnover. The collection agencyreturns the schedule to the respondent each month so that the nextmonth's data can be entered on the space allotted for that month. This"shuttle" procedure increases comparability and accuracy ofreporting, since the respondent can see the figures that have beenreported for previous months.
Form BLS 790 provides for entry of data on the total number ofjfull- and part-time workers on the payrolls of nonagriculturalestablishments and, for most industries, employment, payroll, andhours of production and related workers or nonsupervisory workersfor the pay period which includes the 12th of the month. Form DL1219 provides for the collection of information on the total number ofaccessions and separations, by type, during the calendar month, andtotal employment during the pay period which includes the 12th ofthe month.
CONCEPTS
Industrial classificationEstablishments reporting on Form BLS 790 and Form DL 1219 are
classified into industries on the basis of their principal product or ac-tivity determined from information on annual sales volume. SinceJanuary 1980, this information is collected on a supplement to thequarterly unemployment insurance tax reports filed by employers. Foran establishment making more than one product or engaging in morethan one activity, the entire employment of the establishment is in-cluded under the industry indicated by the principal product oractivity.
All data on employment, hours, earnings, and labor turnover forthe Nation and for most States and areas are classified in accordancewith the 1972 Standard Industrial Classification Manual (SICM), Of-fice of Management and Budget. The BLS tabulates and estimatesstatistics which distinguish between private and public establishments,thus maintaining continuity with previously published statistics for theprivate and government sectors.
Industry employment
Employment data, except those for the Federal Government, referto persons on establishment payrolls who received pay for any part of
the pay period which includes the 12th of the month. For FederalGovernment establishments, employment figures represent thenumber of persons who occupied positions on the last day of thecalendar month. Intermittent workers are counted if they performedany service during the month.
The data exclude proprietors, the self-employed, unpaid volunteeror family workers, farm workers, and domestic workers inhouseholds. Salaried officers of corporations are included. Govern-ment employment covers only civilian employees; military personnelare excluded. Employees of the Central Intelligence and NationalSecurity Agencies are also excluded.
Persons on establishment payrolls who are on paid sick leave (whenpay is received directly from the firm), on paid holiday or paid vaca-tion, or who work during a part of the pay period even though theyare unemployed or on strike during the rest of the period are countedas employed. Not counted as employed are persons who are on layoff,on leave without pay, or on strike for the entire period or who werehired but have not yet reported during the period.
Industry hours and earnings
Average hours and earnings data are derived from reports ofpayrolls and hours for production and related workers in manufactur-ing and mining, construction workers in construction, and nonsuper-visory employees in private service-producing industries. An exceptionto the definitions below are the statistics on hours and earnings ofFederal Government employees, reported in table C-3, which are forall Federal employees, both supervisory and nonsupervisory, for theentire calendar month. When the pay period reported is longer than 1week, figures are reduced to a weekly basis.
Production and related workers include working supervisors and allnonsupervisory workers (including group leaders and trainees) engag-ed in fabricating, processing, assembling, inspection, receiving,storage, handling, packing, warehousing, shipping, maintenance,repair, janitorial and guard services, product development, auxiliaryproduction for plant's own use (e.g., power plant), and recordkeepingand other services closely associated with the above production opera-tions.
Construction workers include the following employees in the con-struction division: Working supervisors, qualified craft workers,mechanics, apprentices, laborers, etc., whether working at the site ofconstruction or in shops or yards, at jobs (such as precutting andpreassembling) ordinarily performed by members of the constructiontrades.
Nonsupervisory employees include employees (not above the work-ing supervisory level) such as office and clerical workers, repairers,salespersons, operators, drivers, physicians, lawyers, accountants,nurses, social workers, research aides, teachers, drafters,photographers, beauticians, musicians, restaurant workers, custodialworkers, attendants, line installers and repairers, laborers, janitors,guards, and other employees at similar occupational levels whose ser-vices are closely associated with those of the employees listed.
Payroll covers the payroll for full- and part-time production, con-struction, or nonsupervisory workers who received pay for any part ofthe pay period which includes the 12th of the month. The payroll isreported before deductions of any kind, e.g., for old-age andunemployment insurance, group insurance, withholding tax, bonds,or union dues; also included is pay for overtime, holidays, vacations,and sick leave paid directly by the firm. Bonuses (unless earned andpaid regularly each pay period), other pay not earned in the pay periodreported (e.g., retroactive pay), tips, and the value of free rent, fuel,meals, or other payment in kind are excluded. "Fringe benefits" (suchas health and other types of insurance, contributions to retirement,etc., paid by the employer) are also excluded.
181
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 182: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/182.jpg)
Hours cover the hours paid for, during the pay period which in-cludes the 12th of the month, for production, construction, or non-supervisory workers. Included are hours paid for holidays and vaca-tions, and for sick leave when pay is received directly from the firm.
Overtime hours cover hours worked by production or relatedworkers for which overtime premiums were paid because the hourswere in excess of the number of hours of either the straight-time work-day or the workweek during the pay period which includes the 12th ofthe month. Weekend and holiday hours are included only if overtimepremiums were paid. Hours for which only shift differential, hazard,incentive, or other similar types of premiums were paid are excluded.Gross average hourly and weekly earnings. Average hourly earningsare on a "gross" basis. They reflect not only changes in basic hourlyand incentive wage rates but also such variable factors as premium payfor overtime and late-shift work and changes in output of workerspaid on an incentive plan. They also reflect shifts in the number ofemployees between relatively high-paid and low-paid work andchanges in workers' earnings in individual establishments. Averagesfor groups and divisions further reflect changes in average hourly ear-nings for individual industries.
Averages of hourly earnings differ from wage rates. Earnings arethe actual return to the worker for a stated period of time; rates arethe amount stipulated for a given unit of work or time. The earningsseries do not measure the level of total labor costs on the part of theemployer since the following are excluded: Irregular bonuses, retroac-tive items, payments of various welfare benefits, payroll taxes paid byemployers, and earnings for those employees not covered under theproduction worker, construction worker, or nonsupervisory employeedefinitions.
Gross average weekly earnings estimates are derived by multiplyingaverage weekly hours estimates by average hourly earnings estimates.Therefore, weekly earnings are affected not only by changes in grossaverage hourly earnings but also by changes in the length of theworkweek. Monthly variations in such factors as proportion of part-time workers, stoppages for varying reasons, labor turnover duringthe survey period, and absenteeism for which employees are not paidmay cause the average workweek to fluctuate.
Long-term trends of gross average weekly earnings can be affectedby structural changes in the makeup of the work force. For example,persistent long-term increases in the proportion of part-time workersin retail trade and many of the services industries have reducedaverage workweeks in these industries and have affected the averageweekly earnings series.Average weekly hours. The workweek information relates to theaverage hours for which pay was received and is different from stan-dard or scheduled hours. Such factors as unpaid absenteeism, laborturnover, part-time work, and stoppages cause average weekly hoursto be lower than scheduled hours of work for an establishment. Groupaverages further reflect changes in the workweek of component in-dustries.Average overtime hours. The overtime hours represent that portion ofthe gross average weekly hours which exceeded regular hours and forwhich overtime premiums were paid. If an employee were to work ona paid holiday at regular rates, receiving as total compensation his orher holiday pay plus straight-time pay for hours worked that day, noovertime hours would be reported.
Since overtime hours are premium hours by definition, gross weeklyhours and overtime hours do not necessarily move in the same direc-tion from month to month; for example, overtime premiums may bepaid for hours in excess of the straight-time workday although lessthan a full week is worked. Diverse trends at the industry-group levelalso may be caused by a marked change in hours or employment for acomponent industry where little or no overtime was worked in boththe previous and current months. In addition, such factors as stop-pages, absenteeism, and labor turnover may not have the same in-fluence on overtime hours as on gross hours.Railroads hours and earnings. The figures for class I railroads (ex-cluding switching and terminal companies) are based on monthly data
summarized in the M-300 report of the Interstate Commerce Commis-sion and relate to all employees except executives, officials, and staffassistants (ICC group I) who received pay during the month. Grossaverage hourly earnings are computed by dividing total compensationby total hours paid for. Average weekly hours are obtained bydividing the total number of hours paid for, reduced to a weekly basis,by the number of employees, as defined above. Gross average weeklyearnings are derived by multiplying average weekly hours by averagehourly earnings.Spendable average weekly earnings. Spendable average weekly earn-ings in current dollars are obtained by deducting estimated Federalsocial security and income taxes from average weekly earnings. Theamount of income tax liability depends on the number of dependentssupported by the worker, the worker's marital status and level of grossincome. To reflect these variables, the Bureau calculates two sets ofspendable earnings series based on the assumptions that the workerearned the gross average weekly earnings and was taxed at the ratesapplicable to either (1) a single worker with no dependents, or (2) amarried worker with three dependents who files a joint return. Thecomputations are based on gross average weekly earnings for all pro-duction or nonsupervisory workers in the industry division excludingother income and income earned by other family members.
The series reflect the spendable earnings of only those workers, withno dependents or three dependents, whose gross weekly pay approx-imates the average earnings indicated for all production and non-supervisory workers. It does not reflect, for example, the average ear-nings of all married workers with three dependents; such workers, infact, have higher gross average earnings than workers with nodependents.
Since part-time as well as full-time workers are included, and sincethe proportion of part-time workers has been rising, the seriesunderstates the increase in earnings for full-time workers. As noted,"fringe benefits" are not included in the earnings. For a more com-plete discussion of the uses and limitations of these series, see the arti-cle by Paul Ryscavage, "Two Divergent Measures of PurchasingPower," in the Monthly Labor Review for August 1979. Reprints ofthis article are available upon request from the Bureau of LaborStatistics.
"Real" earnings, or earnings in constant dollars, are computed bydividing the earnings averages for the current month by the ConsumerPrice Index for Urban Wage Earners and Clerical Workers (CPI-W),and then multiplying by 100. This is done for gross average weeklyearnings and for spendable average weekly earnings. The level of earn-ings is thus adjusted for changes in the purchasing power of the dollarsince the base period (1967).Average hourly earnings excluding overtime. Average hourly earningsexcluding overtime premium pay are computed by dividing the totalproduction-worker payroll for the industry group by the sum of totalproduction-worker hours and one-half of total overtime hours. Priorto January 1956, these data were based on the application of adjust-ment factors to gross average hourly earnings (as described in theMonthly Labor Review, May 1950, pp. 537-40). Both methodsare based on an assumption that earnings due to overtime are paid forat 1 Vi times the straight-time rates. No adjustment is made for otherpremium payment provisions, such as holiday work, late-shift work,and overtime rates other than time and one-half.Indexes of aggregate weekly payrolls and hours. The indexes of ag-gregate weekly payrolls and hours are prepared by dividing the currentmonth's aggregate by the average of the 12 monthly figures for 1967.For basic industries, the hours aggregates are the product of averageweekly hours and production-worker or nonsupervisory-workeremployment, and the payroll aggregates are the product of hour ag-gregates and average hourly earnings. At all higher levels of industryaggregation, hour and payroll aggregates are the sum of the compo-nent aggregates.Indexes of diffusion of changes in number of employees onnonagricultural payrolls. These indexes measure the percent of in-dustries which posted increases in employment over the specified time
182
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 183: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/183.jpg)
span. The indexes are calculated from 172 unpublished seasonally ad-justed employment series (two-digit nonmanufacturing industries andthree-digit manufacturing industries) covering all nonagriculturalpayroll employment in the private sector. A more detailed discussionof these indexes appears in "Introduction of Diffusion Indexes," inthe December 1974 issue of Employment and Earnings.
Labor turnover
Labor turnover is the gross movement of wage and salary workersinto and out of employed status with respect to individualestablishments. This movement, which relates to a calendar month, isdivided into two broad types: Accessions (new hires and rehires) andseparations (terminations of employment initiated by either employeror employee). Each type of action is cumulated for a calendar monthand expressed as a rate per 100 employees. The data relate to allemployees, whether full- or part-time, permanent or temporary, in-cluding executive, office, sales, other salaried personnel, and produc-tion workers. The inclusion of transfers to or from another establish-ment of the company as separations and accessions began January1959.Accessions are the total number of permanent and temporary addi-
tions to the employment roll, including both new and rehiredemployees.
New hires are temporary or permanent additions to the employmentroll of persons who have never before been employed in the establish-ment (except employees transferring from another establishment ofthe same company) or of former employees not recalled by theemployer.
Recalls are permanent or temporary additions to the employmentroll of persons specfically recalled to a job in the same establishmentof the company following a period of layoff lasting more than 7 con-secutive days. (The collection of recalls, as a separate item, beganJanuary 1976.)
Other accessions are all additions to the employment roll which arenot classified as new hires or recalls. These include transfers fromother establishments of the company and former employees returningfrom military leave or other absences without pay who have beencounted as separations. Data on other accessions are not publishedseparately but are included in total accessions.
Separations are terminations of employment during the calendarmonth and are classified according to cause—quits, layoffs, and otherseparations—defined as follows:
Quits wee terminations of employment initiated by employees,failure to report after being hired (if counted as new hires previously),and unauthorized absences, if, on the last day of the month, the per-son has been absent more than 7 consecutive calendar days.
Layoffs are suspensions without pay lasting or expected to last morethan 7 consecutive calendar days, initiated by the employer withoutprejudice to the worker.
Other separations, which are not published separately but are in-cluded in total separations, are terminations of employment becauseof discharge, permanent disability, death, retirement, transfer toanother establishment of the company, and entrance into the ArmedForces for a period expected to last more than 30 consecutive calendardays.
Relationship of labor turnover to employment series
Month-to-month changes in total employment in manufacturing in-dustries reflected by labor turnover rates are not strictly comparablewith the changes shown in the Bureau's employment series for thefollowing reasons: (1) Accessions and separations are computed forthe entire calendar month; the employment reports refer to the payperiod which includes the 12th of the month; and (2) employees onstrike are not counted as turnover actions although such employeesare excluded from the employment estimates if the work stoppage ex-tends through the report period.
ESTIMATING METHODS
The principal features of the procedure used to estimate employ-ment for the establishment statistics are (1) the use of the "linkrelative" technique, which is a form of ratio estimation, (2) periodicadjustment of employment levels to new benchmarks, and (3) the useof size and regional stratification.
The "link relative" technique
From a sample composed of establishments reporting for both theprevious and current months, the ratio of current month employmentto that of the previous month is computed. This is called a "linkrelative." The estimates of employment (all employees, including pro-duction and nonproduction workers together) for the current monthare obtained by multiplying the estimates for the previous month bythese "link relatives." In addition, small bias correction factors areapplied to selected employment estimates each month. The size of thebias correction factors is determined from past experience. Otherfeatures of the general procedures are described in table J.
Size and regional stratification
A number of industries are stratified by size of establishmentand/or by region, and the stratified production- or nonsupervisoryworker-data are used to weight the hours and earnings into broader in-dustry groupings. Accordingly, the basic estimating cell for anemployment, hours, or earnings series, as the term is used in the sum-mary of computational methods in table J, may be a whole industry ora size stratum, a region stratum, or a size stratum of a region within anindustry. The labor turnover estimates are stratified by industry only.
Benchmark adjustments
Employment estimates are compared periodically with comprehen-sive counts of employment which provide1 "benchmarks" for thevarious nonagricultural industries, and appropriate adjustments aremade as indicated. The industry estimates are currently projectedfrom March 1979 levels. Normally, benchmark adjustments are madeannually.
The primary sources of benchmark information are employmentdata, by industry, compiled quarterly by States agencies from reportsof establishments covered under State unemployment insurance laws.These tabulations cover about 98 percent of employees onnonagricultural payrolls in the United States. Benchmark data for theresidual are obtained from the records of the Social Security Ad-ministration, the Interstate Commerce Commission, and a number ofother agencies in private industry or government.
The estimates for the benchmark month are compared with newbenchmark levels, industry by industry. If revisions are necessary, themonthly series of estimates between benchmark periods are adjustedbetween the new benchmark and the preceding one, and thenew benchmark for each industry is then carried forward progressive-ly to the current month by use of the sample trends. Thus, under thisprocedure, the benchmark is used to establish the level of employ-ment; the sample is used to measure the month-to-month changes inthe level. A comparison of the actual amounts of revisions made at thetime of the March 1979 benchmark adjustment is shown in table K.
Data for all months since the last benchmark to which the series hasbeen adjusted are subject to revision. Revised data are published assoon as possible after each benchmark revision.
THE SAMPLE
Design
The sampling plan used in the current employment statistics pro-gram is know as "sampling proportionate to average size of establish-
183
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 184: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/184.jpg)
Table J. Summary of methods for computing industry statistics on employment, hours, earnings, and labor turnover
ItemBasic estimating cell (industry, region,
size, or region/size cell)
Aggregate industry levels (divisions,groups and, where stratified,
individual cells)
All employees
Production or nonsupervisory workers, womenemployees
Gross average weekly hours
Average weekly overtime hours
Gross average hourly earnings
Gross average weekly earnings ,
Labor turnover rates
All employees, women employees, and production ornonsupervisory workers •
Gross average weekly hours
Average weekly overtime hours
Monthly data
All-employees estimate for previousmonth multiplied by ratio of all em-ployees in current month to all em-ployees in previous month, forsample establishments which re-ported for both months.
All-employee estimate for currentmonth multiplied by (1) ratio ofproduction or nonsupervisory work-ers to all employees in sample estab-lishments for current month, (2)estimated ratio of women to all em-ployees.
Production- or nonsupervisory*workerhours divided by number of pro-duction or nonsupervisory workers.
Production-worker overtime hours di-vided by number of productionworkers.
Total production- or nonsupervisory-worker payroll divided by totalproduction- or nonsupervisory-worker hours.
Product of gross average weekly hoursand average hourly earnings.
The number of particular actions (e.g.,quits) in reporting establishmentsdivided by total employment inthose firms. The result is multipliedby 100.
Sum of all-employee estimates for com-ponent cells.
Sum of production- or nonsupervisory-worker estimates, or estimates ofwomen employees, for componentcells.
Average, weighted by production- orrtonsupervisory-worker employment,of the average weekly hours for com-ponent cells.
Average, weighted by production-workeremployment, of the average weeklyovertime hours for component cells.
Average, weighted by aggregate hours, ofthe average hourly earnings for com-ponent cells.
Product of gross average weekly hoursand average hourly earnings.
Average, weighted by employment, ofthe rates for component cells.
Annual average data
Sum of monthly estimates divided by12.
Annual total of aggregate hours(production- or nonsupervisory-worker employment multiplied byaverage weekly hours) divided byannual sum of employment.
Annual total of aggregate overtimehours (production-worker employ-ment multiplied by average weeklyovertime hours) divided by annualsum of employment.
Sum of monthly estimates divided by 12.
Annual total of aggregate hours for pro-duction or nonsupervisory workersdivided by annual sum of employ-ment for these workers.
Annual total of aggregate overtime hoursfor production workers divided byannual sum of employment forthese workers.
See footnotes at end of table.
184
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 185: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/185.jpg)
Table J. Summary of methods for computing industry statistics on employment, hours, earnings, andlabor turnover—-Continued
Item
Gross average hourly earnings
Gross average weekly earnings
Labor turnover rates
Basic estimating cell (industry, region,size, or region/size cell)
Aggregate industry levels (divisions,groups and, where stratified,
individual cells)
Annual average data—Continued
Annual total of aggregate payrolls(product of production- ornonsupervisory-worker employ-ment by weekly hours and hourlyearnings) divided by annual aggre-gate hours.
Product of gross average weekly hoursand average hourly earnings.
Annual average aggregate (of eachlabor turnover action) divided byannual average employment.
Annual total of aggregate payrolls divided by annual aggregate hours.
Product of gross average weekly hoursand average hourly earnings.
Annual average aggregate (of each laborturnover action) divided by annualaverage employment.
The estimates result from multiplvina the product shown bybias adjustment factors to compensate for the underrtpresentatlonof newly formed enterprises in the sample and other bias sources.
The sample production-worker ratio, women-worker ratio,average weekly hours, average overtime hours, and average hourlyearnings are modified by a wedging technique designed to com-
pensate for changes in the sample arising mainly from the voluntarycharacter of the reporting. The wedging procedure accepts the ad-vantage of continuity from the use of the matched sample, and atthe same time, tapers or wedges the estimate toward the level ofthe latest sample average.
ment." This design is an optimum allocation design among stratasince the sampling variance is proportional to the average size ofestablishments. Under this type of design, large establishments fall in-to the sample with certainty. The size of the sample for the various in-dustries is determined empirically on the basis of experience and ofcost considerations. In a manufacturing industry in which a high pro-portion of total employment is concentrated in relatively fewestablishments, a large percent of total employment is included in thesample. Consequently, the sample design for such industries provides
Table K. Comparison of nonagricultural employmentbenchmarks and estimates for March 1979
Industry division
Total
MiningConstructionManufacturingTransportation and publicutilities
Wholesale and retail tradeFinance, insurance, andreal estate
ServicesGovernment
Bench-markMarch1979
88,654
9284,093
20,972
5,04519,809
4,87616,82916,102
Esti-mate
March1979
88,207
9264,226
20,887
5,06019,690
4,87016,74915,799
Percentdifference
0.5
.2-3,2
.4
-.3.6
.1
.51.9
for a complete census of the large establishments with only a fewchosen from among the smaller establishments or none at all if theconcentration of employment is great enough. On the other hand, inan industry in which a large proportion of total employment is insmall establishments, the sample design calls for inclusion of all largeestablishments and also for a substantial number of the small ones.Many industries in the trade and services divisions fall into thiscategory. To keep the sample to a size which can be handled byavailable resources, it is necessary to design samples for these in-dustries with a smaller proportion of universe employment than is thecase for most manufacturing industries. Since individualestablishments in these nonmanufacturing divisions generally showless fluctuation from regular cyclical or seasonal patterns than doestablishments in manufacturing industries, these smaller samples (interms of employment) generally produce reliable estimates.
In the context of the BLS employment and labor turnover statisticsprograms, with their emphasis on producing timely data at minimumcost, a sample must be obtained which will provide coverage of a suf-ficiently large segment of the universe to provide reasonably reliableestimates that can be published promptly and regularly. The presentsample meets these specifications for most industries. With its use, theBLS is able to produce preliminary estimates each month for many in-dustries and for many geographic levels within a few weeks after thereference period and, at a somewhat later date, statistics in con-siderably greater industrial detail.
Coverage
The BLS sample of establishment employment and payrolls is thelargest monthly sampling operation in the field of social statistics.Table L shows the approximate proportion of total employment ineach industry division covered by the group of establishments fur-nishing monthly employment data. The coverage for individual in-dustries within the division may vary from the proportions shown.Table M shows the approximate coverage, in terms of employment, ofthe labor turnover sample.
185
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 186: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/186.jpg)
Table L. Approximate size and coverage of BLSemployment and payrolls sample, March 19791
Industry division
Total
MiningConstructionManufacturingTransportation and
public utilities:Railroad transporta-tion (ICC)
Other transportationand public utilities . .
Wholesale and retailtrade
Finance, insurance, andreal estate
ServicesGovernment:
Federal?State and local
Number ofestablish-ments insample
166,200
2,20016,30045,200
40
7,500
41,800
10,90024,500
4,70013,100
Employees
Numberreported
34,701,000
366,000736,000
11,580,000
489,000
2,305,000
3,408,000
1,779,0003,257,000
2,740,0008,041,000
Percentof total
39
391855
91
51
17
3619
10060
Since a few establishments do not report payroll and hoursinformation, hours and earnings estimates may be based on aslightly smaller sample than employment estimates.
National estimates of Federal employment by agency are pro-vided to BLS by the Office of Personnel Management. Detailed in-dustry estimates for the Executive Branch, as well as State and areaestimates of Federal employment, are bated on a sample of 4,700reports covering about 55 percent of employment in Federalestablishments.
Table M. Approximate size and coverage of BLS laborturnover sample, March 1979
Industry
TotalManufacturingMiningTelephone communication. . . .
Employees
Number reported
9,987,0009,093,000
194,000700,000
Percent of total
44432168
adjusts the estimates for changes in the industrial classification of in-dividual establishments (resulting from changes in their product whichare not reflected in the levels of estimates until the data are adjusted tonew benchmarks). In fact, at the more detailed industry levels, par-ticularly within manufacturing, changes in classification are the majorcause of benchmark adjustments. Another cause of differences arisesfrom improvements in the quality of the benchmark data. Table Npresents the average percent revisions of the five most recent ben-chmarks (excluding the March 1973 adjustment) for major industrydivisions. Detailed descriptions of individual benchmark revisions areavailable from the Bureau upon request.
Table N. Average benchmark percent revision in employ-ment estimates and relative errors for average weeklyhours and average hourly earnings by industry division
[In percent]
Industry division
Total nonagricultural employ-ment
Total privateMiningContract construction . . .Manufacturing
DurableNondurable goods . . .
Transportation and publicutilities
TradeWholesaleRetail
Finance, insurance, andreal estate
ServicesGovernment
1
Averagebench-mark re-
vision inestimates
ofemploy-
ment1
0.3.3
1.11.7
.3
.4
.4
.4
.3
.9
.2
.5
.6
.5
Relative errors(in percent)
Averageweeklyhours
0.1.5.2.1.1.1
.7
.1
.2
.2
.2
.4
Averagehourly
earnings
0.2.5.3.1.1.1
.4
.2
.3
.2
.4
.8
The average percent revision In employment for the followingbenchmarks: 1970, 1971, 1974, 1978 and 1979.
23
Relative errors relate to March 1971 data.Estimates for government are based on a total count for
Federal Government and prior to the March 1979 revision, samplesfor State and local government benchmarked to a quinquennialcensus of government conducted by the Bureau of the Census.
Reliability of the employment estimates
Although the relatively large size of the BLS establishment sampleassures a high degree of accuracy, the estimates derived from it maydiffer from the figures that would be obtained if it were possible totake a complete census using the same schedules and procedures. Asdiscussed under the previous section, a "link relative" technique is us-ed to estimate employment. This requires the use of the previousmonth's estimate as the base in computing the current month'sestimate. Thus, small sampling and response errors may cumulateover several months. To remove this accumulated error, the estimatesare usually adjusted annually to new benchmarks. In addition to tak-ing account of sampling and response errors, the benchmark revision
The hours and earnings estimates for basic estimating cells are notsubject to benchmark revisions, although the broader groupings maybe affected slightly by changes in employment weights. The hours andearnings estimates, however, are subject to sampling errors which maybe expressed as relative errors of the estimates. (A relative error is astandard error expressed as a percent of the estimate.) Relative errorsfor major industries are presented in table N and for individual in-dustries with the specified number of employees in table O. Thechances are about 2 out of 3 that the hours and earnings estimatesfrom the sample would differ by a smaller percentage than the relativeerror from the averages that would have been obtained from a com-plete census.
186
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 187: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/187.jpg)
One measure of the reliability of the employment estimates for in-dividual industries is the root-mean-square error (RMSE). Themeasure is the standard deviation adjusted for the bias in estimates:
Table P. Errors of preliminary employment estimates
RMSE (Standard Deviation)2 + (Bias)2
If the bias is small, the chances are about 2 out of 3 that an estimatefrom the sample would differ from its benchmark by less than theroot-mean-square error. The chances are about 19 out of 20 that thedifference would be less than twice the root-mean-square error.
Approximations of the root-mean-square errors (based on the mostrecent benchmark revisions) of differences between final estimatesand benchmarks are presented in table O.
Table O. Root-mean-square errors of differences betweenbenchmarks and estimates of employment and averagerelative errors for average weekly hours and averagehourly earnings
Size of employmentestimate
50,000100,000200,000500,0001,000,0002,000,000
Root-mean-squareerror of
employmentestimates *
2,1004,4007,100
15,20017,10028,500
Relative errors 2(in percent)
Averageweeklyhours
0.9.7.5.4.3.3
Averagehourly
earnings
1.51.1.9.8.5.5
Assuming 12-month intervals between benchmark revisions.Relative errors relate to March 1971 data.
For the two most recent months, estimates of employment, hours,and earnings are preliminary and are so footnoted in the tables. Thesefigures are based on less than the total sample and are revised when allthe reports in the sample have been received. Table P presents root-mean-square errors of the amounts of revisions that may be expectedbetween the preliminary and final levels of employment andpreliminary and final month-to-month changes. Revisions ofpreliminary hours and earnings estimates are normally not greaterthan 0.1 of an hour for weekly hours and 1 cent for hourly earnings.
STATISTICS FOR STATES AND AREAS
State and area employment, hours, earnings, and labor turnoverdata are collected and prepared by State agencies in cooperation withBLS. The area statistics relate to metropolitan areas. Definitions forall areas are published each year in the issue of Employment and Earn-ings that contains State and area annual averages (usually the Mayissue). Changes in definitions are noted as they occur. Additional in-dustry detail may be obtained from the State agencies listed on the in-side back cover of each issue. These statistics are based on the sameestablishment reports used by BLS for preparing national estimates.For employment, the sum of the State figures may differ slightly fromthe equivalent official U.S. totals on a national basis, because someStates have more recent benchmarks than others and because of theeffects of differing industrial and geographic stratification.
For the States and the areas shown in the B and C sections of thisperiodical, all the annual average data for the detailed industrystatistics currently published by each cooperating State agency arepresented (from the earliest date of availability of each series) in asummary volume published annually by the BLS.
Category
INDUSTRY DIVISIONS
Total nonagriculturalemployment
Mining
Contract constructionManufacturing
Durable two-digit industriesNondurable two-digit industries . .
Transportation and public utilities . . .Wholesale and retail tradeFinance, insurance, and real estate . . .ServicesGovernment
DETAILED INDUSTRIES. SIZE OFEMPLOYMENT ESTIMATE
50,000100,000200,000500,0001,000,0002,000,000
Root- mean- squareerror o f —
Monthlylevel
69,000
Month-to-monthchange
63,000
5,00021,00025,0003,7002,500
14,00030,000
7,00030,00043,000
5,00019,00024,0003,5002,500
14,00026,0006,000
25,00036,000
300700
1,1003,9003,8006,000
400700
1,1004,1003,9006,100
NOTE: Division level data are based on diffrences from January1974 through March 1980. Detailed industry data are based on dif-ferences from August 1978 through June 1979.
PRODUCTIVITY DATA
Tables C-10, C-ll, and C-12 are compiled by the Bureau of LaborStatistics from establishment data and from estimates of compensa-tion and gross national product supplied by the U.S. Department ofCommerce and the Federal Reserve Board.
Definitions
Hours of wage and salary workers in nonagricultural establishmentsrefer to hours paid for all employees—production workers, nonsuper-visory workers, and salaried workers.
Output is the constant-dollar market value of final goods and ser-vices produced in a given period. Indexes of output per hour of laborinput, or labor productivity, measure changes in the volume of goodsand services produced per unit of labor.
Compensation per hour includes wages and salaries of employeesplus employers' contributions for social insurance and private benefitplans. The data also include an estimate of wages, salaries, and sup-plementary payments for the self-employed, except for nonfinancialcorporations, in which there are no self employed.
187
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 188: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/188.jpg)
Real compensation per hour is compensation per hour adjusted toeliminate the effect of changes in the Consumer Price Index for AllUrban Consumers (CPI-U).
Unit labor costs measure the labor compensation cost required toproduce one unit of output and are derived by dividing compensationper hour by output per hour. Unit nonlaborpayments include profits,depreciation, interest, and indirect taxes per unit of output. They arecomputed by subtracting compensation of all persons from thecurrent-dollar gross national product and dividing by output. In thesetables, unit nonlabor costs contain all the components of unitnonlabor payments except unit profits. Unit profits include corporateprofits and inventory valuation adjustments per unit of output.
The implicit price deflator is derived by dividing the current-dollarestimate of gross product by the constant-dollar estimate, making thedeflator, in effect, a price index for gross product of the sectorreported.
Notes on the data
For the private business sector and the nonfarm business sector,these indexes relate to the gross domestic product less household andinstitutions, owner-occupied housing, and statistical discrepancy. Forthe nonfinancial corporate sector, the indexes refer to the grossdomestic product of nonfinancial corporate business.
Manufacturing data have been revised to reflect revisions in theFederal Reserve Board Index of Industrial Production. Output dataare supplied by the Bureau of Economic Analysis, U.S. Departmentof Commerce, and the Federal Reserve Board. Quarterly measureshave been adjusted by the Bureau of Labor Statistics to annualestimates of output (gross product originating) from the Bureau ofEconomic Analysis. Compensation and hours data are from theBureau of Economic Analysis and the Bureau of Labor Statistics.
State and area unemployment data(E tables)
FEDERAL-STATE COOPERATIVE PROGRAM
Labor force and unemployment estimates for States, labor marketareas (LMA's), and other areas covered under Federal assistance pro-grams are developed by State employment security agencies under aFederal-State cooperative program. The local unemploymentestimates which are derived from standardized procedures developedby BLS are the basis for determining eligibility of an area for benefitsunder Federal programs such as the Comprehensive Employment andTraining Act, the Public Works Employment Act, and the PublicWorks and Economic Development Act.
ESTIMATING METHODS
Labor force and unemployment in 10 large States: New York,California, Illinois, Ohio, New Jersey, Pennsylvania, Michigan,Texas, Massachusetts, and Florida; and two areas: Los Angeles-LongBeach metropolitan area and New York City, are sufficiently reliableto be used directly from the CPS. For a description of the CPS con-cepts see "Household Data," above.
Monthly employment and unemployment estimates in the remain-ing 40 States and 214 labor market areas are prepared in severalstages.
1. Preliminary estimate—employment: The total employmentestimate is based primarily on data from the survey of establishmentswhich produces an estimate of payroll employment. This place-of-work estimate must be adjusted to refer to place of residences as usedin the CPS. Factors for adjusting from place of work to place ofresidence have been developed for the major categories of employ-ment by class of worker and industry on the basis of employment rela-tionships which existed at the time of the 1970 Decennial Census.These factors are applied to the payroll employment estimates for thecurrent period to obtain adjusted employment estimates.2. Preliminary estimate-unemployment: In the current month, theestimate of unemployment is an aggregate of the estimates for each ofthree building block categories: (1) Persons wjio were previouslyemployed in industries covered by State unemployment insurance (UI)laws; (2) those previously employed in industries not covered by theselaws; and (3) those who were either entering the labor force for thefirst time or reentering after a period of separation. This is referred tobelow as the Ul-based estimate.
An estimate for those previously employed in covered industries isderived from a count of current unemployment insurance claimants,plus estimates of claimants whose benefits have been exhausted, thosepersons disqualified from receiving benefits for nonmonetary reasons(because they quit, were discharged for cause, etc., but would other-wise have been eligible), and persons who either filed claims late or notat all.
The estimate of those previously employed in industries not coveredby UI is derived by applying to the employment estimate for each non-covered industry or class of worker subgroup in the State, the ratio ofcovered unemployment to covered employment weighted by factorsreflecting national historical relationships.
For the third category, new entrants and reentrants into the laborforce, a composite estimate is developed from equations that relate thetotal entrants into the labor force to the experienced unemployed andthe experienced labor force. For each month, the estimate of entrantsinto the labor force is a function of: (a) the month of the year; (b) thelevel of the experienced unemployed; (c) the level of the experiencedlabor force; and (d) proportion of the working age population that isconsidered "youth." The composite estimate of total entrants isdefined as:
U-A(X+E) + BX, whereU * total entrant unemploymentE «total employmentX" total experienced unemployment
A,B« synthetic factors incorporating seasonal variation andan assumed relationship between the proportion ofyouths in the working population and the historicalrelationship of entrants to the experienced unemployed(B factor) or the experienced labor force (A factor).
3. Correction factors for employment and unemployment are thenapplied at the State level to the Ul-based estimates obtained above foreach of the 40 States and the District of Columbia. These correctionfactors are based on the ratio of the CPS to the Ul-based estimates forthe 6 month period ending in the current month (e.g. a 6-month mov-ing average).
4. Substate adjustment for additivity. Independent estimates ofemployment and unemployment are prepared both for the State (ob-tained directly from the CPS in the 10 large States or by the Ul-basedmethod in the remaining States), and labor market areas (LMA's)
188
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 189: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/189.jpg)
within the State* The total of the geographic areas in the LMA's ex-hausts the geographic boundries of the State. A proportional adjust-ment is applied to all substate LMA estimates to ensure that thesubstate estimates of employment and unemployment add to the in-dependent State totals. In California and New York, which also havesubstate areas taken directly from the CPS, the additivity adjustmentfor the remaining areas is applied to the State total minus the directCPS area.
5. Benchmark correction procedures. Once each year monthlyestimates prepared by State employment security agencies using UI-based estimating procedures are adjusted, or benchmarked, by BLS tothe annual average CPS estimates for the 40 States for which monthly
CPS estimates are not available. This adjustment is necessary becausethe State-prepared estimates are not as reliable as the CPS annualaverages due to differences in State UI laws, the structural limitationsof the' Ul-based estimating method, and errors in the UI data.
The benchmarked estimates are produced in three stages. First, themonthly Ul-based estimates are adjusted by the ratio of the CPS tothe Ul-based annual averages. Second, the difference between theratio of annual averages for two consecutive years is wedged into themonthly estimates in order to minimize the disturbance to the originalseries. Finally, the second-stage estimates are forced into agreementwith CPS annual averages. In the 10 States which use CPS estimatesmonthly, no benchmark correction is required, as the average of the12 monthly State CPS estimates will equal the CPS annual averages.
Seasonal adjustment
Over a course of a year, the size of the Nation's labor force, thelevels of employment and unemployment, and other measures oflabor market activity undergo sharp fluctuations due to such seasonalevents as changes in weather, reduced or expanded production,harvests, major holidays, and the opening and closing of schools.Because these seasonal events follow a more or less regular patterneach year, their influence on statistical trends can be eliminated by ad-justing the statistics from month to month. These adjustments make iteasier to observe the cyclical and other nonseasonal movements in theseries. In evaluating changes in a seasonally adjusted series, it is im-portant to note that seasonal adjustment is merely an approximationbased on past experience. Seasonally adjusted estimates have abroader margin of possible error than the original data on which theyare based, since they are subject not only to sampling and other errorsbut are also affected by the uncertainties of the seasonal adjustmentprocess itself. Seasonally adjusted series for selected labor force andestablishment data are published regularly in Employment and Earn-ings.
The seasonal adjustment programs used for these series are basedon an adaptation of the standard ratio-to-moving average method.They provide for *'moving" adjustment factors to take account ofchanging seasonal patterns. A detailed description of the method isgiven in the publication, The X-U Variant of the Census Method IISeasonal Adjustment Program, Technical Paper No. 15, Bureau ofthe Census (1967).
Beginning in January 1980, the BLS introduced two majormodifications in the seasonal adjustment methodology for data fromthe household survey. First, the data are being seasonally adjustedwith a new procedure called X-11/ARIMA, which was developed atStatistics Canada as an extension of the existing standard X-llmethod. A detailed description of the procedure appears in The X-IIARIMA Seasonal Adjustment Method, by Estela Bee Dagum,Statistics Canada Catalogue No. 12-564E, September 1979. The X-llprocedure was originally developed at the Bureau of the Census andhad been used by the BLS to seasonally adjust labor force series since1973. Tests have shown that use of the X-ll ARIMA procedure,which essentially places more emphasis on recent data, provides betterseasonal adjustments than does the X-l l method alone.
The second change is that seasonal factors are now being calculatedfor use during the first 6 months of the year rather than for the entireyear. In July of each year, the BLS will calculate and publish (inEmployment and Earnings) a new set of seasonal factors for use in thesecond half, based on the experience through June. Revisions ofhistorical data for the most recent 5 years will continue to be madeonce a year, at the beginning of each calendar year.
All civilian labor force and unemployment rate statistics, as well asthe major employment and unemployment estimates, are computedby aggregating independently adjusted series. For example, for eachof the three major labor force components—agricultural employment,nonagricultural employment, and unemployment—data for four sex-age groups (males and females under and over 20 years of age) areseparately adjusted for seasonal variation and are then added to deriveseasonally adjusted total figures. In order to provide seasonally ad-justed total employment and civilian labor force estimates, the ap-propriate series are aggregated. The official unemployment rate for allcivilian workers is derived by dividing the estimate for total unemploy-ment (the sum of 4 seasonally adjusted sex-age components) by thecivilian labor force (the sum of 12 seasonally adjusted sex-age com-ponents).
Revised seasonally adjusted data for selected labor force series bas-ed on the experience through December 1979, new seasonal adjust-ment factors to be used to calculate the overall unemployment rate forthe first 6 months of 1980, and a description of the current seasonaladjustment methodology are published in the January 1980 issue ofEmployment and Earnings. Revised seasonally adjusted data cover-ing the entire 5-year revision period for a broader range of labor forceseries appear in the February 1980 issue of this publication. Many ad-ditional series, which are either components or aggregates of the seriespresented, are available from the BLS upon request.
Beginning in July 1980, the BLS also uses the X-ll ARIMAmethodology in seasonally adjusting the establishment data, whichpreviously had been computed using the BLS Seasonal FactorMethod. All series are seasonally adjusted using the multiplicativemodels under X-ll ARIMA. Seasonal adjustment factors used incalculating the current estimates are based on data through March of1980. The ARIMA model options for projecting the data series for 1year ahead have not been used in seasonally adjusting the establish-ment series.
Seasonal adjustment factors are directly applied to the componentlevels. Seasonally adjusted totals for most of these series are then ob-tained by taking a weighted average of the seasonally adjusted datafor the component series. Seasonally adjusted average weekly earningsare the product of seasonally adjusted average hourly earnings andseasonally adjusted weekly hours. Average weekly earnings in cons-tant dollars, seasonally adjusted, are obtained by dividing averageweekly earnings, seasonally adjusted, by the seasonally adjusted Con-sumer Price Index for Urban Wage Earners and Clerical Workers(CPI-W), and multiplying by 100. Indexes of aggregate weekly hours,seasonally adjusted, are obtained by multiplying average weeklyhours, seasonally adjusted, by production or nonsupervisory workers,
189
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 190: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/190.jpg)
seasonally adjusted, and dividing by the 1967 base. For total private,total goods-producing, total private service-producing, trade,manufacturing, and durable and nondurable goods industries, the in-dexes of aggregate weekly hours, seasonally adjusted, are obtained bysumming the aggregate weekly hours, seasonally adjusted, for the ap-propriate component industries and dividing by the 1967 base.
Seasonal factors were not computed for a number of seriescharacterized by small seasonal components relative to their trend-cycle and/or irregular components. These unadjusted series are shownand used in the aggregation to broader level seasonally adjusted series.
The seasonally adjusted establishment data for Federal Governmentare based on a series which excludes the Christmas temporary helpemployed by the Postal Service in December. The employment ofthese workers constitutes the only significant seasonal change inFederal Government employment during the winter months. Further-
more, the volume of such employment may change substantially fromyear to year because of administrative decisions by the Postal Service.Hence, it was considered desirable to exclude this group from the dataupon which the seasonally adjusted series is based.
For labor turnover rates, seasonal adjustment factors are applieddirectly to the component series. These series are then aggregated toobtain total levels (total accessions and total separations). These fac-tors are derived by the X-U ARIMA Method using the trading dayoption. As a result, these series arc adjusted for the number of timeseach day of the week occurs in a given month, as well as for the monthof the year.
The revised seasonally adjusted series for the establishment datareflect experience through March 1980. Seasonal factors to be used for•current adjustment appear in the July 1980 issue of Employment and•Earnings,
190
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
![Page 191: empl_071980](https://reader036.vdocuments.mx/reader036/viewer/2022082205/55cf97f1550346d03394972e/html5/thumbnails/191.jpg)
U.S. Department of LaborBureau of Labor StatisticsREGION I BOSTON
John Fitzgerald Kennedy Federal Bldg.
Government Center Room 1603 A
Boston, Mass. 02203
REGION II - NEW YORK
1515 Broadway-Suite 3400
New York, N Y . 10036
REGION Ml PHILADELPHIA
3535 Market Street
P.O. Box 13309 (Zip 19101)
Philadelphia, Pa.
REGION IV - A T L A N T A
1371 Peachtree Street, N.E.
Atlanta, Ga. 30367
REGION V CHICAGO
230 S. Dearborn Street
Chicago, III. 60604
REGION VI DALLAS
555 Grif f in Sq., 2nd Fl.
Dallas, Tex. 75202
REGIONS VII & VIM KANSAS CITY
911 Walnut Street
Kansas City, Mo. 64106
REGIONS IX & X -SAN FRANCISCO
450 Golden Gate Avenue, Box 36017
San Francisco, Calif. 94102
COOPERATING STATE AGENCIES
State and Local Area Unemployment Statistics Program (LAUS), Current Employment Statistics Program (CESI, andLabor Turnover Statistics Program (LTS)
BLS
Region
IV A L A B A M A
X A L A S K A
IX A R I Z O N A
VI ARKANSAS
I X C A L I F O R N I A
VIM COLORADO
I C O N N E C 7" IC U T
Hi D E L A W A R E
Mi D I S T OF COL
1 V F L O R I D A
I V G E O R G i A
IX H A W A M
X i D A H C
Department of Industr ial Relations, Industrial Relations Bui lding, Room 427 Montgomery 36130
Employment Security Division, Department of Labor, P.O. Box 3 7000. Juneau 99802
Department of Economic Securi ty, P.O. Box 6123. Phoenix 85005
-Employment Security Division, Department of Labor, P.O. Box 2981 , L i t t le Rock 72203
Employment Development Department, P O Box 1679, Sacramento 95808 (CES).
Division of Emp loymen t and Train ing, 1278 L inco ln Street,
Denver 80203
-Employment Security Division, Labor Department, 200 Folly Brook Boulevard, Wethersfleld 06109
Department of Labor University Plaza Office Complex, Bldg. D, Chapman Rd., Route 273, Newark 19713
-Office of Administrat ion and Management Services, D.C. Department of Manpower, Suite 1 000,
605 G Street, N. W.( Washington 20001
Department of Labor and Employment Security, Caldwell Building, Tallahassee 32304
Department of Labor, 254 Washington Street, S.W., Atlanta 30334
Department of Labor and Industrial Relations, P.O. Box 3680, Honolulu 9681 1
Department of Employment, P.O. Box 35, Boise 83707
Bureau oi Employment Security, 910 South Michigan Street, 15th floor, Chicago 60605
Employment Security Division, 10 North Senate Avenue, I ndianapol is 46204
Department of Job Service, 1 000 East Grand Avenue, Des Moines 503 1 9
Division of Employment, Department of Human Resources 401 Topeka Avenue, Topeka 66603
Depdr trnent of Human Resources, 2 7b f Md in ' . ^ p t 2nd Moor Wes* f rankfort 40601
Department of I abcr p O Box 44094 Cn mo Station Baton Rouqe 70804. Augusta 04330
V
\
t 1
ent
< n
e n t
f S
of
r
1 4
i S
of
< C
H
n f c
TV
jma>
^ /1 t
r t <,
C o t
i
C
E c o n o n
c
Re
• r;
Or
' l C
( ,S t u
i r r
ss
u r
r
( ) '
e
y
i o r
i t y
l ( ) l
1 100
Chd'
7313 9 0
I r
\
0N
t 1 > " , * a
K • i r e /
\Noori a'*-ur th R jn^r
H i
-t "
. r> <
treet
• iid ni-
enue
treet
» SOI
Bah.i
Petr
P O O
' i ( '
i ' '
H O '
H! '
<J t
r l
,>1 \jr i o n S t r e e t .
e 21201
r t C e r r ? ; r .
4S?0^
'St Paul 55101
e i )
M I t i- t rt r
i ( t y
arson C.tY ^9 71 _
t i ' i i * ' (; 1 I ' 1 * >f r I ' t
- p r v 1 H > r * S e r f t s D i v i s i o n D e p a r t " t n
^ \ i r,i t> * P ( s e a r r f c i f u i 5 t r f n s ' t ' i c s N "» 3 r i '
S' rv
• 8 . H O U M - S B 9 G 0 1
1928 Aiburquerque 87103
T ^ ;m .us--Building 12, Albany 12201
4 J S F i nn t St , Columbus 43216
- i K n Oklahoma City 73105
f . O!
t-r i+ E * t ov
, - 1 M0 ;
( f
7401
.. . > o
ii . i - 78
ii 341 4 7
^ ' ?« . 12064. Rr
- , M M' 'i 98 r01
r (.* 1- * 1 «. b ^ 0 c
i x ' 4 4 N^a 1 •><••' - 3 7 0 /
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis