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Employment and Earnings July 1980 ! ,S. Department of Labor ureau 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

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Page 1: empl_071980

Employment and EarningsJuly 1980!,S. Department of Laborureau of Labor Statistics

ol. 27 No. 7

this issue:stablishment data adjusted to new benchmarks

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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.

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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

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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

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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

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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

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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.)

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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.)

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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.

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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

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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

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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.

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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.

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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

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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.

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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.

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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

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Page 18: empl_071980

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

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Page 19: empl_071980

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

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Page 20: empl_071980

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

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Page 21: empl_071980

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

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Page 22: empl_071980

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

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Page 23: empl_071980

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

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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

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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

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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

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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

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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

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Page 29: empl_071980

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

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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

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Page 31: empl_071980

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

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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

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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

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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.

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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

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Page 36: empl_071980

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

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Page 37: empl_071980

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

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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.

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Page 39: empl_071980

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

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Page 40: empl_071980

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

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Page 41: empl_071980

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

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Page 42: empl_071980

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

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

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

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

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

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

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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

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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

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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

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Page 51: empl_071980

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

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Page 52: empl_071980

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

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Page 53: empl_071980

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

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Page 54: empl_071980

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

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Page 55: empl_071980

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

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Page 56: empl_071980

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

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Page 57: empl_071980

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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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Page 75: empl_071980

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

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Page 76: empl_071980

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

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Page 77: empl_071980

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

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Page 78: empl_071980

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

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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

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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

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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

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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

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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

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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.

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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.

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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

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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.

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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.

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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

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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

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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

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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.

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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

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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

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Page 95: empl_071980

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

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Page 96: empl_071980

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

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Page 97: empl_071980

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

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

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

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

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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

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Page 102: empl_071980

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

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Page 103: empl_071980

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

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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

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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

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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

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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

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Page 108: empl_071980

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

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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

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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

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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

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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

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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

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Page 114: empl_071980

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

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Page 115: empl_071980

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

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Page 116: empl_071980

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

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Page 117: empl_071980

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

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

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

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

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

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

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

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Page 124: empl_071980

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

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Page 125: empl_071980

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

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Page 126: empl_071980

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

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

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

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

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Page 130: empl_071980

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

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Page 131: empl_071980

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

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Page 132: empl_071980

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

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Page 133: empl_071980

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

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

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

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

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

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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

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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

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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

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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

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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

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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.

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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

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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

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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

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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

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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

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Page 149: empl_071980

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

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Page 150: empl_071980

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

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Page 151: empl_071980

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

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Page 152: empl_071980

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

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Page 153: empl_071980

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

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Page 154: empl_071980

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

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Page 155: empl_071980

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

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

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

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

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

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

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

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Page 162: empl_071980

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

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Page 163: empl_071980

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

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Page 164: empl_071980

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

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Page 165: empl_071980

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

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Page 166: empl_071980

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

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.

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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.

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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

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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.

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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.

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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-

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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

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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

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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,

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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.

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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.

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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

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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

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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

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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.

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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

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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-

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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.

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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.

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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.

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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.

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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)

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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,

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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,

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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

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