The employment situation - FRASERTHE EMPLOYMENT SITUATION: JANUARY 1980 Unemployment rose in...

News United States Department of Labor

Bureau of Labor Statistics Washington, D.C. 20212

Contact: Beth Gelin (202) 523-1944 Scott Fain 523-1371 Kathryn Hoyle (202) 523-1913

523-1208

USDL 80-65 TRANSMISSION OF MATERIAL IN THIS RELEASE IS EMBARGOED UNTIL 9:00 A.M. (EST), FRIDAY, FEBRUARY 1, 1980

THE EMPLOYMENT SITUATION: JANUARY 1980

Unemployment rose in January, and there were contrasting developments in employment, the

Bureau of Labor Statistics of the U.S. Department of Labor reported today. Due to a rise in

joblessness among adult men, the Nation's unemployment rate increased over the month from 5.9 to

6.2 percent, the highest rate since July 1978.

Total employment—as measured by the monthly survey of households—showed little overall

change in January, although there were diverse movements among adult men and women jobholders.

Consistent with their rise in unemployment, employment among adult men was down markedly, while

the number of adult women holding jobs increased.

In contrast to total employment, nonfarm payroll employment—as measured by the monthly

survey of establishments—rose by about 300,000 in January to 90.5 million.

Unemployment

The number of persons unemployed increased 340,000 in January to 6.4 million. Most of this

upturn occurred among persons who were laid off or otherwise lost their last jobs. Over the

past year, the jobless total has risen by 610,000. (See tables A-l and A-5.)

With the increase in the level of unemployment, the Nation's jobless rate rose three-tenths

of a point to 6.2 percent. The jobless rate had remained within the narrow range of 5.7 to 5.9

percent over the prior 17-month period.

The January increase in unemployment was concentrated among adult men; their rate rose from

4.2 to 4.7 percent, the highest since November 1977. The increase was shared by both black and

white men. In contrast, the rates for adult women (5.8 percent) and teenagers (16.3 percent)

were about unchanged over the month. Strong increases were also registered in the cyclically

sensitive unemployment rates for married men, full-time workers, blue-collar workers, and

workers in durable goods manufacturing. (See table A-2.)

There was no change in the number of nonfarm workers on part-time work schedules for

economic reasons (sometimes termed the "partially unemployed"), following large increases in the

last juarter of 1979. (See table A-3.)

Total Employment and the Labor Force

Total employment was little changed in January, but there were offsetting movements among

adult men and women. There was a drop of 200,000 in the number of men with jobs, while

employment among adult women rose by 170,000. Employment also fell in the male-dominated

blue-collar occupations. Employment was up by 1.7 million from January 1979, the smallest

over-the-year increase s^nce January 1976« (See tables A-»l and A-3.)

The civilian labor force grew by 230,00Q from December and was up 2.3 million from a year

ago. Adult women accounted for the bulk of these increases. Their labor force participation

Table A. Major indicators of labor market activity, seasonally adjusted

I Quarterly averages I Monthly data I

Selected categories I f 1 I I Dec-| 1978 | 1979 | 1979 | 1980 1 Jan. 1 1 I 1 1 1 1 change 1 IV | III | IV | Nov. I Dec. | Jan. |

HOUSEHOLD DATA I I Thousands of persons

Total employment | 95,6531 97,2311 97 6651 97 6081 97 912 | 97 804 j -108 Unemployment | 5,8851 6,0081 6 0841 6 0441 6 0871 6 4251 338

1 1 1 1 1 1 1

I Percent of labor force Unemployment rates: 1 1 1 1 1 1 1

All workers | 5.8| 5.8| 5.9| 5.8| 5.9| 6.2| 0.3

Black and other | 11.5| 10.9| 11.2| 10.9| 11 3| 11.8| 5 Full-time workers j 5.21 5.31 5.4 j 5.41 5.41 5.71 .3

1 1 1 1 1 1 1 ESTABLISHMENT DATA I

1 Thousands of jobs Nonfarm payroll employment j 87 7991 89 759190 104p| 90 100190 231p|90 536p| 305p

Goods-producing industries 1 26,1111 26,638|26,586p| 26 533126 654p|26 705p| 51p Service-producing industries | 61,688| 63,121163,518p| 63,567|63,577p|63,831p| 254p

1 1 1 1 1 1 1 1 Hour8 of work

Average weekly hours: 1 "1 1 1 1 1 1 Total private nonfarm j 35.8| 35.6| 35.7p| 35.7 j 35.7p| 35.7p| Op

Manufacturing overtime... <| 3.7| 3.2| 3.2p| 3.3| 3.2p| 3.3pl .lp 1 1 1 1 1 1 1

p»preliminary N.A.*not available

Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis

- 3 -

rate reached a new high of 51.4 percent, while that of men and teenagers edged down over the

month.

Industry Payroll Employment

Nonfarm payroll employment rose to 90.5 million in January, up 305,000 from the December

level. Contributing to this increase was a net reduction in strike activity of approximately

50,000.

The bulk of the January employment growth occurred in the service-producing industries.

Gains were registered throughout the sector, with the most sizeable increases in trade

(130,000), services (55,000), and transportation and public utilities (30,000).

Within the goods-producing sector, the construction industry posted an employment gain of

65,000. Overall employment in manufacturing was about unchanged. There was a decline of nearly

60,000 in transportation equipment, due to job cutbacks in automobiles and parts, and smaller

decreases in fabricated metal products and food processing. These were about offset by a return

of striking workers in the machinery industry, coupled with small increases in several other

industries, primarily in the nondurable goods sector. Employment in mining remained near its

December level.

Over the past year, payroll jobs have increased by 2.0 million, with 85 percent of the gain

occurring in the service-producing sector. (See table B-l.)

Hours

The average workweek of production or nonsupervisory workers on private nonagricultural

payrolls remained at 35.7 hours in January, a level maintained since November. Movements were

small and generally offsetting among the major industries. In manufacturing, average hours and

overtime both edged up a tenth of an hour to 40.4 and 3.3 hours, respectively. (See table B-2.)

The index of aggregate weekly hours remained at 126.7 (1967-100) in January and has risen by

only 1.8 percent since January 1979. The manufacturing index, however, has decreased by 2.2

percent over the past year. (See table B-5.)

Hourly and Weekly Earnings

Average hourly earnings of production or nonsupervisory workers on private nonagricultural

payrolls rose 0.3 percent in January and were up 7.4 percent over the year (seasonally

adjusted). Average weekly earnings also rose 0.3 percent from December and were 7.1 percent

above the January 1979 level.

- 4 -

Before adjustment for seasonality, average hourly earnings rose 3 cents in January to $6.41

and were 44 cents above January 1979. Average weekly earnings were $224.99, down $4.69 from

December but still up $14.85 over the year. (See table B-3.)

The Hourly Earnings Index

The Hourly Earnings Index—earnings adjusted for overtime in manufacturing, seasonality, and

the effects of changes in, the proportion of workers in high-wage and low-wage industries—was

239.8 (1967-100) in January, 0.2 percent higher than in December. The Index was 7.7 percent

above January a year ago. In dollars of constant purchasing power, the Index decreased 4.5

percent during the 12-month period ended in December. (See table B-4.)


Chart 1. Civilian labor force and employment (Seasonally adjusted)

120000

110000

100000

90000

80000

70000

Civilian labor force Total employed Nonagricultural payroll employment

120000

1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 I960

Chart 2. Unemployment rate—all civilian workers

5.0

r L&\

• Seasor •Not 9

I I I P b l S

tally adjueted eaeonaDy adjusted

Ti l

1 i i i I i . i 1 i i i

1 •JVs&vC***

^

^ i

_i_a

f \T

, • , I • • • i • •

JRN 6 . 2 6 . 8

l 1

1 1 1 1 1 1 1 1 1 J

1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980

Chart 3. Civilian labor force participation rate and total employment-population ratio (Seasonally adjusted)

Participation rate " ^ O O ^ l ——•Employment-population ratio \ \ \ J

j x ^

HI H ^ I • • • I • • • 1 • • • I • • • I

1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 Note: The shaded areas depict the business cycle peaks and troughs as designated by the National Bureau of Economic Research.

Explanatory Note This news release presents statistics from two major

surveys, the Current Population Survey (household survey) and the Current Employment Statistics Survey (establishment survey). The household survey provides the information on the labor force, total employment, and unemployment that appears in the A tables, marked HOUSEHOLD DATA. It is a sample survey of about 65,000 households that is conducted by the Bureau of the Census with most of the findings analyzed and published by the Bureau of Labor Statistic; (BLS).

The establishment survey provides the information on the employment, hours, and earnings of workers on nonagricultural payrolls that appears in the B tables, marked ESTABLISHMENT DATA. This information is collected from payroll records by BLS in cooperation with State agencies. The sample includes approximately 162,000 establishments employing more than 32 million people.

For both surveys, the data for a given month are actually collected for and relate to a particular week. In the household survey, unless otherwise indicated, it is the calendar week that contains the 12th day of the month, which is called the survey week. In the establishment survey, the reference week is the pay period including the 12th, which may or may not correspond directly to the calendar week.

The data in this release are affected by a number of technical factors, including definitions, survey differences, seasonal adjustments, and the inevitable variance in results between a survey of a sample and a census of the entire population. Each of these factors is explained below.

Coverage, definitions and differences between surveys The sample households in the household survey are

selected so as to reflect the entire civilian noninstitu-tional population 16 years of age and older. Each person in a household is classified as employed, unemployed, or not in the labor force. Those who hold more than one job are classified according to the job at which they worked the most hours.

People are classified as employed if they did any work at all as paid civilians; worked in their own business or profession or on their own farm; or worked IS hours or more in an enterprise operated by a member of their family, whether they were paid or not. People are also counted as employed if they were on unpaid leave because of illness, bad weather, disputes between labor and management, or personal reasons.

People are classified as unemployed, regardless of their eligibility for unemployment benefits or public assistance, if they meet all of the following criteria: They had no employment during the survey week; they were available for work at that time; and they made specific efforts to find employment sometime during the prior 4 weeks. Also included among the unemployed are persons not locking for work because they were laid off

and waiting to be recalled and those expecting to report to a job within 30 days.

The civilian labor force equals the sum of the number employed and the number unemployed. The unemployment rate is the percentage of unemployed people in the civilian labor force. Table A-4 presents a special grouping of seven measures of unemployment based on varying definitions of unemployment arid the labor force. The definitions are provided in the table. The most restrictive definition yields U-l, and the most comprehensive yields U-7. The official unemployment rate is U-5.

Unlike the household survey, the establishment survey only counts wage and salary employees whose names appear on the payroll records of nonagricultural firms. As a result, there are many differences between the two surveys, among which are the following:

—The household survey, although based on a smaller sample, reflects a larger segment of the population; the establishment survey excludes agriculture, the self-employed, unpaid family workers, and private household workers;

—The household survey includes people on unpaid leave among the employed; the establishment survey does hot;

—The household survey is limited to those 16 years of age and older; the establishment survey is not limited by age;

—The household survey has no duplication of individuals, because each individual is counted only once; in the establishment survey, employees working at more than one job or otherwise appearing on more than one payroll would be counted separately for each appearance.

Other differences between the two surveys are describe/1 in "Comparing Employment Estimates from Household and Payroll Surveys," which may be obtained from the BLS upon request.

Seasonal adjustment Over a course of a year, the size of the Nation's labor

force and the levels of employment and unemployment undergo sharp fluctuations due to such seasonal events as changes in weather, reduced or expanded production, harvests, major holidays, and the opening and closing of schools. For example, the labor force increases by a large number each June, when schools close and many young people enter the job market. The effect of such seasonal variation can be very large; over the course of a year, for example, seasonality may account for as much as 93 percent of the month-to-month changes in unemployment.

Because these seasonal events follow a more or less regular pattern each year, their influence on statistical trends can be eliminated by adjusting the statistics from month to month. These adjustments make nonseasonal developments, such as declines in economic activity or


increases in the participation of women in the labor force, easier to spot. To return to the school's-out example, the large number of people entering the labor force each June is likely to obscure any other changes that have taken place since May, making it difficult to determine if the level of economic activity has risen or declined. However, because the effect of students finishing school in previous years is known, the statistics for the current year can be adjusted to allow for a comparable change. Insofar as the seasonal adjustment is made correctly, the adjusted figure provides a more useful tool with which to analyze changes in economic activity.

Measures of civilian labor force, employment, and unemployment contain components such as age and sex. Statistics for all employees, production workers, average weekly hours, and average hourly earnings include components based on the employer's industry. All these statistics can be seasonally adjusted either by adjusting the total or by adjusting each of the components and combining them. The second procedure usually yields more accurate information and is therefore followed by BLS. For example, the seasonally adjusted figure for the civilian labor force is the sum of eight seasonally adjusted employment components and four seasonally adjusted unemployment components; the total for unemployment is the sum of the four unemployment components; and the official unemployment rate is derived by dividing the resulting estimate of total unemployment by the estimate of the civilian labor force.

The numerical factors used to make the seasonal adjustments are recalculated regularly. For the household survey, the factors are calculated for the January-June period and again for the July-December period. The January revision is applied to data that have been published over the previous 5 years. For the establishment survey, updated factors for seasonal adjustment are calculated only once a year, along with the introduction of new benchmarks which are discussed at the end of the next section.

Sampling variability Statistics based on the household and establishment

surveys are subject to sampling error, that is, the estimate of the number of people employed and the other estimates drawn from these surveys probably differ from the figures that would be obtained from a complete census, even if the same questionnaires and procedures were used. In the household survey, the amount of the differences can be expressed in terms of standard errors. The numerical value of a standard error depends upon the size of the sample, the results of the survey, and other factors. However, the numerical value is always such that the chances are 68 out of 100 that an estimate based on the sample will differ by no more than the standard error from the results of a comolete census. The chances are 90 out of 100 that an estimate based on the sample will differ by no more than l.t times the

standard error from the results of a complete census. At the 90-percent level of confidence-the confidence limits used by BLS in its analyses-the error for the monthly change in total employment is on the order of plus or minus 293,000; for total unemployment, it is 185,000; and, for the overall unemployment rate, it is 0.19 percentage point. These figures do not mean that the sample results are off by these magnitudes but, rather, that the chances are 90 out of 100 that the "true" level or rate would not be expected to differ from the estimates by'more than these amounts.

Sampling errors for monthly surveys are reduced when the data are cumulated for several months, such as quarterly or annually. Also, as a general rule, the smaller the estimate, the larger the sampling error. Therefore, relatively speaking, the estimate of the size of the labor force is subject to less error than is the estimate of the number unemployed. And, among the unemployed, the sampling error for the jobless rate of adult men, for example, is much smaller than is the error for the jobless rate of teenagers. Specifically, the error on monthly change in the jobless rate for men is .23 percentage point; for teenagers, it is 1.06 percentage points.

In the establishment survey, estimates for the 2 most current months are based on incomplete returns; for this reason, these estimates are labeled preliminary in the tables. When all the returns in the sample have been received, the estimates are revised. In other words, data for the month of September are published in preliminary form in October and November and in final form in December. To remove errors that build up over time, a comprehensive count of the employed is conducted each year. The results of this survey are used to establish new benchmarks—comprehensive counts of employment—against which month-to-month changes can be measured. The new benchmarks also incorporate changes in the classification of industries and allow for the formation of new establishments.

Additional statistics and other information In order to provide a broad view of the Nation's

employment situation, BLS regularly publishes a wide variety of data in this news release. More comprehensive statistics are contained in Employment and Earnings, published each month by BLS. It is available for $2.75 per issue or $22.00 per year from the U.S. Government Printing Office, Washington, D.C. 20204. A check or money order made out to the Superintendent of Documents must accompany all orders.

Employment and Earnings also provides approximations of the standard errors for the household survey data published in this release. For unemployment and other labor force categories, the standard errors appear in tables A through I of its "Explanatory Notes." Measures of the reliability of the data drawn from the establishment survey and the actual amounts of revision due to benchmark adjustments are provided in tables K through P of that publication.


HOUSEHOLD DATA HOUSEHOLD DATA

Table A-1. Employment status of the non institutional population

(Numbers ki thousands]

Employment a J i n .

1979

Doc.

1979

Jan.

1980

Jdl l .

1979

S o p t .

1979

O c t .

1979

N O V .

19 7 9

D e c .

1 9 7 9

TOTAL

Total noninstitutional population1

Armed Forces1

Civilian noninstitutional population1

Civilian labor force Participation rate

Employed Employment-population ratio3.

Agriculture Nonagricultural industries

Unemployed Unemployment rate

Not in labor force

Men, 20 years and over







Not in labor force

Women, 20 years and over




Employed Employment-population ratio3



Not in labor force

Both sexes, 16-19 years




Employed Employment-population ratio3



Not in labor force

White






Not in labor force

Black and other


Oviiian noninstitutional population1

Civilian labor force , Participation rata

Employed , , Employment-population ratio3.,

Unemployed , Unemployment rate

Not in labor force

1 6 2 , HU8 2 ,091

160 ,353 1 0 0 , 8 6 7

6 2 . 9 9 4 , 4 3 6

3 8 . 1 2,7b2

9 1 , 6 7 3 6 , 4 3 1

6 . 4 59 ,487

69 ,385 6 7 , 7 2 6 5 3 , 8 3 3

79.5 5 1 , 2 2 7

7 3 . 8 2 , 0 8 4

4 9 , 1 4 3 2 ,607

1 .8 1 3 , 8 9 2

7 6 , 3 3 7 7 6 , 2 2 8 3 8 , 1 5 8

5 0 . 1 3 5 , 8 4 9

4 7 . 0 451

3 5 , 3 9 8 2,309

6. 1 3 8 , 0 7 0

1 6 , 7 2 5 1 6 , 4 0 0

8 , 8 7 5 5 4 . 1

7,3t»0 4 4 . 0

228 7 , 1 3 2 1 ,515

17«1 7 , 5 2 3

1 4 2 , 3 5 1 1 4 0 , 6 8 3

8 3 , 9 8 8 6 3 . 3

83 ,950 5 9 . 0

5 ,038 5 . 7

5 1 , 6 9 5

2 0 , 0 9 7 1 9 , 6 7 0 1 1 , 8 7 9

•60 .4 1 0 , 4 8 b

5 2 . 2 1 ,39 3

1 1 . 7 7 , 7 9 2

1 6 4 , 3 9 8 2 , 0 8 9

1 6 2 , 8 0 9 103 ,884

b3..8 98 ,047

5 9 . 5 2 , 9 9 5

95,052 5 , 8 36

5.6 58 ,925

70 ,594 0 8 , 9 4 0 54,666

7 9 . 3 52 ,335

7 4 . 1 2 , 2 9 2

5 0 , 0 4 3 2 , 3 3 1

4 . 3 1 4 , 2 7 4

7 7 , 6 6 6 7 7 , 5 4 2 4 0 , 0 5 7

5 1 . 7 3 7 , 9 5 4

4 8 . 9 466

3 7 , 4 8 7 2 , 1 0 4

5 . 3 3 7 , 4 8 5

1 6 , 6 3 8 1 6 , 3 2 6 9 , 1 6 0

5 6 . 1 7 , 7 5 9

4 6 . 6 237

7 , 5 2 2 1 ,401

1 5 . 3 7 , 1 6 6

1 4 4 , 2 6 7 1 4 2 , 6 4 5

9 1 , 5 0 9 6 4 . 2

8 6 , 9 9 3 6 0 . 3

4 , 5 1 6 4 .9

5 1 , 1 3 6

2 0 , 6 3 1 2 0 , 1 6 3 1 2 , 3 7 4

6 1 . 4 1 1 , 0 5 4

5 3 . 6 1 , 3 2 1

1 0 . 7 7 , 7 8 9

1 6 5 , 1 0 1 2 , 0 8 1

1 6 3 , 0 2 0 103 ,1U8

6 3 . 3 9 6 , 1 4 5

58 .2 2 ,782

9 3 ,363 7 , 0 4 3

.6 .8 59 ,832

7 0 , 6 9 5 6 9 , 0 4 7 5 4 , 6 1 3

7 9 . 1 5 1 , 5 0 3

7 2 . 9 2 , 160

4 9 , 3 4 3 3, 110

5 . 7 1 4 , 4 3 4

7 7 , 7 7 9 77 ,656 39 ,860

5 1 . 3 3 7 , 4 4 1

4 8 . 1 407

3 7 , 0 3 4 2 , 4 1 9

6 . 1 3 7 , 7 9 6

1 6 , 6 2 7 1 6 , 3 1 7

8 ,715 53 .4

7 , 2 0 1 4 3 . 3

215 6 , 9 8 6 1 ,514

1 7 . 4 7 , 6 0 1

1 4 4 , 4 2 1 1 4 2 , 8 0 6

9 0 , 9 5 0 6 3 . 7

8 5 , 4 2 0 5 9 . 1

5 , 5 3 0 6 . 1

5 1 , 8 5 6

2 0 , 6 8 0 2 0 , 2 1 4 1 2 , 2 3 8

6 0 . 5 1 0 , 7 2 5

5 1 . 9 1 , 5 1 3

1 2 . 4 7 , 9 7 6

1 6 2 , 4 4 8 2,09u

1 6 0 , 3 5 3 1 02 , 061

o 3 . 6 9 6 , 1 5 7

59 .2 3 , 2 6 0

92,d97 5 , 9 0 4

5 . 8 58 ,292

69 ,385 6 7 , 7 2 6 5 4 , 1 9 1

8 0 . 0 52 ,024

75 .0 2 ,303

4 9 , 7 2 1 2 , 167

4 . 0 13 ,535

7 6 , 3 3 7 7 6 , 2 2 3 3 8 , 2 0 7

5 0 . 1 3 6 , 0 1 2

4 7 . 2 596

3 5 , 4 1 6 2 , 1 9 5

5 . 7 3 8 , 0 2 1

1 6 , 7 2 5 1 6 , 4 0 0 9 , 6 6 3

5 8 . 9 8 , 1 2 1

4 8 . 6 361

7,760 1,542

16.0 6 , 7 3 7

1 4 2 , 3 5 1 1 4 0 , 6 8 3

"* 973 6 4 . 0 i ,434 6 0 . 0

* , 5 3 9 5 . 0 710

89 , t

8 5 ,

5 0 , :

2 0 , 0 9 7 1 9 , 6 7 0 1 2 , 1 0 1

6 1 . 5 1 0 , 7 3 6

5 3 . 4 1 ,365

1 1 . 3 7 , 5 6 9

164 ,106 2 ,092

1 6 2 , 0 1 3 1 0 3 , 4 9 4

o 3 . 9 97 ,504

5 9 . 4 3,364

9 4 , 1 4 0 5 ,990

5 . 8 5 8 , 5 1 9

7 0 , 2 0 5 6 3 , 5 2 2 5 4 , 7 3 5

7 9 . 9 5 2 , 4 5 3

7 4 . 7 2 , 3 7 7

50 ,076 2 , 2 8 2

4 . 2 1 3 , 7 8 7

7 7 , 2 4 5 7 7 , 1 2 4 39 ,239

5 0 . 9 3 7 , 0 7 5

4 8 . 0 628

3 6 , 4 4 7 2 , 1 6 4

5 . 5 3 7 , 8 8 5

1 6 , 6 5 5 1 6 , 3 6 7

9,52C 5 8 . 2

7 ,976 4 7 . 9

359 7 , 6 1 7 1,544

1 6 . 2 6 , 8 4 7

1 4 3 , 6 2 1 1 4 1 , 9 8 1

9 1 , 0 8 2 b 4 . 2

8 6 , 4 2 5 6 0 . 2

4 ,657 5 . 1

5 0 , 8 9 9

2 0 , 4 8 4 2 0 , 0 3 2 1 2 , 4 0 4

6 1 . 9 1 1 , 0 6 3

5 4 . 0 1 , 3 4 1

1 0 . 8 7 ,628

164 ,4o« 2 , 0 9 3

1 6 2 , 3 / 5 103 ,595

o 3 . 8 97 ,474

5 9 . 3 3 ,294

9 4 , 1 8 0 6 , 1 2 1

5.9 5 8 , 7 8 0

70,380 6 8 , 6 9 7 54 ,760

7 9 . 7 5 2 , 4 4 3

7 4 . 5 2 , 3 7 1

5 0 , 0 7 2 2 , 3 1 7

4 . 2 1 3 , 9 3 7

77 ,429 7 7 , 3 0 3 39 ,362

50 .9 3 7 , 1 1 2

4 7 . 9 572

36,540 2 ,250

5 .7 3 7 , 9 4 6

1 6 , 6 5 9 16 ,370 9 , 4 7 3

57 .9 7 , 9 1 9

4 7 . J 351

7 , 5 6 8 1 ,554

16 .4 6 ,897

143,937 142 ,296 9 1 , 1 4 7

6 4 . 1 8 6 , 4 5 4

6 0 . 1 4 ,693

5 . 1 5 1 , 1 4 9

2 0 , 5 3 1 2 0 , 0 7 9 1 2 , 5 1 2

6 2 . 3 1 1 , 0 7 6

5 3 . 9 1 ,436

11.5 7 ,567

1 6 4 , 6 3 2 2 , 0 9 2

162 ,589 1 0 3 , 6 5 2

o l . b 9 7 , 6 0 8

59 .3 3 ,335

*4 ,2 23 6 ,044

5 .8 58 , m

7 0 , 4 8 7 6 3 , 8 0 4 5 4 , 7 0 9

7 9 . 5 5 2 , 3 7 4

74 . 3 2 , 4 3 8

4 9 , 9 3 6 2 , 3 3 5

4 . 3 1 4 , 0 9 5

77,547 77 ,426 3 9 , 4 4 5

5C.9 3 7 , 2 4 8

4 8 . 0 612

3 6 , 6 3 6 2 , 1 9 7

5 . 6 3 7 , 9 6 1

1 6 , 6 4 8 1 6 , 3 6 0 9 , 4 9 8

5 8 . 1 7 , 9 8 6

4 6 . 0 335

7 , 6 5 1 1 ,512

1 5 . 9 6 ,862

1 4 4 , 1 0 1 1 4 2 , 4 6 1

9 1 , 2 4 2 6 4 . 0

8 6 , 5 7 1 6 0 . 1

4 ,671 5 . 1

5 1 , 2 1 9

2 0 , 5 3 0 2 0 , 1 2 8 1 2 , 3 9 1

6 1 . 6 1 1 , 0 4 4

5 3 . 7 1 ,347

1 0 . 9 7 , 7 3 7

164 ,898 2 , 0 8 9

162,309 103 ,999

6 3 . 9 9 7 , 9 1 2

5 9 . 4 3 ,359 |

9 4 , 5 5 6 ,087 I

5.*» 5 8 , 8 1 0 I

7 0 , 5 9 4 6 8 , 9 4 0 5 4 , 7 8 1

7 9 . 5 5 2 , 4 7 8

7 4 . 3 2 , 4 2 7

5 0 , 0 5 1 2 , 3 0 3

4 . 2 14 ,159

7 7 , o 6 6 7 7 , 5 4 2 3 9 , 6 5 9

5 1 . 1 3 7 , 4 0 2

4 8 . 2 582

3 6 , 8 2 0 2 , 2 5 7

5 . 7 3 7 , 8 8 3

16 ,638 16 ,32b

9,559 5 8 . 6

8 , 0 3 2 4 8 . 3

350 7 ,682 1#527

1 6 . 0 6 , 7 6 7

144 ,267 142 ,645

9 1 , 5 7 9 6 4 . 2

6 6 , 8 9 4 6 0 . 2

4 , 6 8 5 5 . 1

5 1 , 0 6 6

2 0 , 6 3 1 2 0 , 1 6 3 1 2 , 4 3 2

6 1 . 7 11 ,024

5 3 . 4 1 ,408 • 1 1 . 3 7 , 7 3 1

1 Tha population and Armed Forces figures are not adjusted for seasonal variations; therefore, * Civilian employment at a percent of «M total ncnmttfortfonji population ( M y * * * Armed kiantical numbers •ppaw >n the unadjusted and seasonally adjusted columns. Forces).


HOUSEHOLD DATA

Table A-2. Major unemployment indicators,

HOUSEHOLD DATA

adjusted

Number of unemployed persons

(In thousands)

J a n .

19 79

J a n .

1980

J a n .

1979

S e p t .

1979

C c t .

1 9 7 9

Nov .

1 9 7 9

D e c .

1979

J a n .

1980

CHARACTERISTICS

Total, 16 years and over Men, 20 years and over Women, 20 years and over Both sexes, 16-19 years

White, total Men, 20 years and over Women, 20 years and over Both sexes, 16-19 years

Black and other, total Men, 20 years and over Women, 20 years and over Both sexes, 16-19 years

Married men, spouse present Married women, spouse present Women who head families

Full-time workers Part-time workers Unemployed 15 weeks and over' Labor force time lost*

OCCUPATION3

White-collar workers Professional and technical Managers and administrators, except farm Sales workers Clerical workers

Blue-collar workers Craft and kindred workers Operatives, except transport Transport equipment operatives Nonfarm laborers

Service workers Farm workers

INDUSTRY3

Nonagricultural private wage and salary workers4

Construction Manufacturing

Durable goods Nondurable goods

Transportation and public utilities Wholesale and retail trade Finance and service industries

Government workers Agricultural wage and salary workers

5,904 2, 167 2,195 1,542

4,5.39 1,701 1,646 1,192

1,365 466 552 347

1,050 1,262 392

4,514 1,373 1,229

1,681 377 212 249 845

2,235 592 929 193 521

1,076 83

4,257 527

1,153 605 548 187

1,230 1,128 619 112

6,425 2,577 2, 304 1,545

4,9 57 2,014 1,757 1, 186

1,4 74 567 549 358

1,346 1,268 4 79

5 ,046 1,3fa4 1,334

1,752 34 3 206 3 00 9 02

2,761 654

1,174 266 667 967 123

4 , 7 3 8 5 7 6

1,562 934 6 29 242

1 , 2 6 4 1,042

607 164

5 . 8 4 . 0 5 . 7

1 6 . 0

5.C 3 . 5 5 . 0

1 3 . 8

11 .3 8 . 0

1 0 . 5 3 3 . 0

2 . 6 5 . 3 8 . 0

5 . 2 9 . 1 1 . 2 6 . 2

3 . 4 2 . 5 2 . 0 4 . 0 4 . 7 6 . 5 4 . 4 7 . 8 5 . 0 9 . 7 7 . 7 2 . 9

5 . 7 1 0 . 3

5 . 1 4 . 4 6 . 1 3 . 5 6 . 6 5 . 1 3 . 9 7*. 5

5 . 8 4 . 2 5 . 5

1 6 . 2

5 .1 3 .7 4 . 8

1 4 . 3

1 0 . 8 8 . 0 9 . 8

3 2 . 3

2 . 9 4 . 8 7 . 7

5 .3 8 .4 1.1 6 . 2

3 .3 2 .4 2 . 2 3 . 8 4 . 5 7 . 1 4 . 3 9 . 0 6 . 1

1 1 . 0 f . 7 4 . 1

5 . 8 9 . 6 6 . 0 5 . 3 7 . 1 4 . 0 6 .4 4 . 7 3 . 3

1 0 . 0

5 . 9 4 . 2 5 . 7

1 6 . 4

5 . 1 3 . 7 5 . 0

1 4 . 1

1 t

10 35.

5 . 4 8 . 9 1.2 6 . 4

3 . 2 . 2 . 3 . 4 . 7 . 4 . 9 . 5 . 6

1 0 . 7 6 . 8 4 . 3

5 . 9 0 . 9 6 . 0 5 . 5 6 . 8 3 . 8

. 6 . 4 4 . 9 4 . 0 9 . 9

5 . 8 4 . 3 5 . 6

15 .9

5 . 1 3 . 7 4 . 9

1 3 . 9

1 0 . 9 8 .4 9 . 5

3 2 . d

2 . 9 4 . 8 8 . 4

5 .4 8 . 3 1 . 1 6 . 4

3 . 2 2 . 4 1.9 3 .7 4 . 4 7 . 5 4 . 9 9 . 0 5 . 2

1 2 . 2 6 . 6 4 . 5

5 10

5 5 6 4 6 4 3 . 6

1 0 . 1

5. 4. 5.

16.

5. 3. 5.

13.

10 34,

3 . 2 . 2, 3. 4 . 7, 4 , 9 . 5 .

1 2 . 6 . 4 .

5. 10.

5. 5. 6 . 4 . 6. 4, 3. 9.

5 .4 8 . 5 1.2 6 . 4

6 . 2 4 . 7 5 . 8

16 .3

5 . 4 4 . 1 5 . 1

1 4 . 0

1 1 . 8 9 . 6

1 0 . 0 3 4 . 6

3 . 4 2 . 2 1 . 9 4 . 4 4 . 8 8 . 0 4 . 9 9 . 9 6 . 9

1 2 . 3 6 . 9 4 . 4

6 . 2 1 0 . 8 6 . 7 6 . 7 6 . 8 4 . 4 6 . 6 4 . 6 3 . 8

1 0 . 3

1 Unemployment rata calculated as a percent of civilian labor force. ' Aggregate houn lost by the unemployed and persons on part time 1

percent of potentially available labor force hours. * Unemployment by occupation includes all experienced unemployed

covers only unemployed mining, not shown

persons, whereas that by



Table A-3. Selected employment indicators

[In thousands]

Selected catagor iei

CHARACTERISTICS

Total employed, 16 years and over Men Women Married men, spouse present Married women, spouse present

OCCUPATION

White-collar workers Professional and technical Managers and administrators, execpt farm Sales workers Clerical workers

Blue-collar workers Craft and kindred workers Operatives, except transport Transport equipment operatives

Nonfarm laborers Service workers Farm workers

MAJOR INDUSTRY AND CLASS OF WORKER

Agriculture: Wage and salary workers Self-employed workers Unpaid family workers

Nonagricultural industries: Wage and salary workers

Government Private industries

Private households Other industries

Self-employed workers

Unpaid family workers •

PERSONS AT WORK1

Nonagricultural industries

Full-time schedules Part time for economic reasons

Usually work full time Usually work part time

Part time for noneconomic reasons . . . .

Jan.

197 0

9'4,4 30

5J>,057

39,3 73

3*,732

22,365

,337

,*76

,312

,892

,257

,171

,470

,804

,604

,294

,501

.34 7

1,122

1,446

104

84

15

o9

1

68

6

,857

,43C

,427

, 169

258

,372

444

97,3 07

71, .348

3,034

1,294

1,740

12,425

Jan.

1990

96,145

55,251

40,393

3*3,362

23, 111

50,351

15,4 30

10,619

6,29 1

17,951

30,800

12,481

10,530

3,5o9

4,211

12,738

2,256

1,154

1,436

193

86,335

15,534

70,800

1,062 6 9 , 7 3 8

6 , 6 2 4 354

8 9 , 2 0 6 7 2 , 8 5 7

3 , 3 3 9 1,591

1,748 1 3 , 0 1 0

adjusted

J a n .

1 9 7 9

9 o , 1 5 7 5 6 , 3 2 6 3 9 , 3 3 1 3 9 , 1 3 9 2 2 , 3 7 2

4 8 , 3 03 1 4 , 7 3 4 1 0 , 3 1 2

c , 0 4 8 1 7 , 2 0 ° 3 2 , 2 9 0 12,:J07 1 0 , 9 5 8

3 , 6 5 1 4 , )74

1 2 , 3 1 7 ?, 76 4

1 , J37 1 ,564

2 95

8 6 , 0 2 9 1 5 , 2 5 1 7 0 , 7 7 8

1,24 7 6 9 , 5 3 1

6 , 4 9 7 475

8 7 , 5 2 0 7 2 , 1 7 6

3 , 2 0 3 1 ,252 1 ,951

1 2 , 1 4 1

S e p t .

1979

9 7 , 5 0 4 5 6 , 7 1 4 4 0 , 7 9 0 3 9 , 198 2 2 , 9 3 7

4 9 , 8 1 6 1 5 , 1 4 1 1 0 , 6 5 9

6 , 181 1 7 , 8 3 5 3 2 , 2 0 9 1 2 , 9 " 3 1 0 , 9 6 4

3 , o 1 7

4 , 6 2 5 1 2 , 8 5 9

2 , 7 2 2

1

1

86 15

71 1

70 6

, 3 9 9

r 6 4 2 325

, 9 1 2 , 4 0 7 , 5 0 5 , 313

r 192 , 7 3 1

449

8 8 , 7 2 3 7 3 , 1 5 9

3 , 1 6 7 1 ,273 1 ,894

1 2 , 3 9 7

O c t .

1979

9 7 , 4 7 4 5 6 , 6 2 9 4 0 , 8 4 5 3 9 , 1 2 4 2 2 , 9 1 9

4 9 , 7 3 8 1 5 , 0 5 7 1 0 , 6 3 9

6 , 2 6 1 1 7 , 7 8 1 3 2 , 2 0 5 1 3 , 0 0 1 1 0 , 9 6 7

3 ,59 3 4 , 6 4 4

1 2 , 9 3 7 2 , 6 9 5

1 ,381 1,602

313

8 6 , 9 8 2 1 5 , 4 2 3 7 1 , 5 5 9

1 ,261 7 0 , 2 9 8

6 , 8 1 2 '430

8 8 , 6 3 8 7 3 , 2 0 4

3 , 3 1 5 1,354 1 ,961

1 2 , 1 1 9

Nov.

1979

9 7 , 6 0 8 5 6 , 5 8 0 4 1 , 0 2 8 3 8 , 8 4 5 2 2 , 9 4 0

4 9 , 9 1 2 1 5 , 1 3 1 10 ,617

6 , 362 1 7 , 8 0 2 3 2 , 1 10 12 ,925 1 0 , 9 6 3

3 , 6 2 8 4 , 5 9 4

1 2 , 8 9 9

2 , 7 18

1,475 1 ,622

3 1 0

87,020

15,358

71,662

1,211

70,451

6,781

417

88,617

72,997

3,392

1,413

1,979

12,228

Dec.

1979

97,912

56,734

41,173

38,924

23,027

49,911

15,272

10,535

o,346

17,758

32,302

13,04 1

11,042

3,635

4,584

12,970

2,694

1,451

1,546

310

87,384

15,397

71,987

1,228

70,759

6,737

409

89,180

73,137

3,519

1,491

2,028

12,524

Jan.

1980

97,804

56,486

41,318

38,749

23,111

50,313

15,337

10,608

6,452

17,915

31,862

12,814

10,678

3,616

4,774

12,979

2,660

1,428 1,554

293

8 7 , 5 7 8 5 , 4 1 4

V . , 1 6 3 1 , 132

7 1,031 * , 7 5 2

379

89,454

73,223

3,513

1,549

1,964

12,718

1 Excludes persons "wi th a job but not at work" during the survey period for such reasons as vacation, illness, or industrial disputes.

Table A-4. Duration of unemployment

[Numbers in thousands]

Weeks of unemployment

DURATION

15 to 26 weeks

PERCENT DISTRIBUTION

27 weeks and over

Not seasonally adjusted

J a n .

19">9

3 , 0 3 3 2 , 1 0 2 1 ,296

779 517

1 0 . 7 5 . 6

1 0 0 . 0 4 7 . 2 3 2 . 7 2 0 . 2 1 2 . 1

8 . 0 j

J a n .

1980

3 , 5 0 6 2 , 1 2 8 1 ,409

873 536

1 0 . 1 5 . 0

100*0 4 9 . 8 3 0 . 2 2 0 . 0 I 1 2 . 4

7 . 6

Seasonally adjusted

J a n .

1979

' 2 , 7 5 1 1 , 8 8 1

| 1 ,229 708 521

1 1 . 2 5 . 8

1 0 0 . 0 4 6 . 9 3 2 . 1 2 1 . 0 1 2 . 1

3 . 9

S e p t .

1979

2 , 7 7 8 2 , 0 3 5 1 ,152

644 508

1 0 . 7 5 . 8

> 1 0 0 . 0 4 6 . 6 3 4 . 1 1 9 . 3 1 0 . 8

8 . 5

O c t .

1979

2 , 9 5 5 1,963 1 ,195

678 517

1 0 . 5 5 . 5

1 0 0 . 0 4 8 . 3 3 2 . 1 1 9 . 5 1 1 . 1

8 . 5

i Nov.

1979

2 , 9 1 9 1,869 1 , 191

660 531

1 0 . 6 5 . 3

1 0 0 . 0 4 8 . 8 3 1 . 3 1 9 . 9 1 1 . 0

8 . 9

Dec .

1979

2 , 9 1 6 1 ,966 1,230

711 519

1 0 . 5 5 . 5

1 0 0 . 0 4 7 . 7 3 2 . 2 2 0 . 1 11 .6 8 . 5

J a n .

1980

3 , 1 8 4 1,907 1,334

795 539

1 0 . 5 5 . 2

100 .0 4 9 . 6 2 9 . 7 2 0 . 8 1 2 . 4 8 . 4


HOUSEHOLD DATA Table A-6. Reasons for unemployment [Numbers In thouaaodsl

HOU8EHOLD DATA

Jan.

1979

Jan*

1980

Jan.

1979

Sept.

1979

Cct.

1979

Nov.

1979

Dec.

1979

Jan.

1980

NUMBER OF UNEMPLOYED

Loct last job On layoff Other job losers

Left last job Reentered labor force Seeking first job

PERCENT DISTRIBUTION

Total unemployed Job losers

On layoff Other job losers

Job leavers Reentrants New entrants

UNEMPLOYED AS A PERCENT OF THE CIVILIAN LABOR FORCE

Job losers Job leavers Reentrants New entrants

3 , 0 4 8 1 , 1 4 6 1 ,902

943 1,753

686

100, 47. 17. 29, 14, 27, 10.

3.0 .9

1.7 .7

3,729 1,550 2,179

819 1,822

674

100.0 52.9 22.0 30.9 11.6 25.9 9.6

3.6 .8

1.8 .7

2,441 752

1,689 900

1,721 8 24

100.0 41.5 12.8 28.7 15.3 29.2 14.0

2.4 .9

1.7 .8

2,632 955

1,777 825

1,760 801

100, 43, 14. 29. 13, 29, 13,

2.5 .8

1.7 .8

2,731 929

1,802 835

1,762 8C4

100.0 44.5 15.2 29.4 13.6 28.7 13.1

2.6 .8

1.7 .8

2,729 987

1,742 845

1,698 736

100.0 45.4 16.4 29.0 14.1 28.3 12.3

2.6 .8

1.6 .7

2,728 944

1,784 800

1,771 858

100.0 44.3 15.3 29.0 13.0 28.8 13.9

2.6 .8

1.7 .8

2,988 1,019 1,969

779 1,797

811

100.0 46.9 16.0 30.9 12.2 28.2 12.7

2.9 .7

1.7 .8

Table A-6. Unemployment by sex and age, seasonally adjusted

Sexandafi

Number of mp On

Jan.

1979

Jan.

1980

Unemployment rates

Jan.

1979

Sept.

1979

Cct.

1979

Nov.

1979

Dec.

1979

Jan.

1980

Total, 16 years and over . 16 to 19 years

16 to 17 years 18 to 19 years

20 to 24 years 25 years and over

25 to 54 years 55 years and over .

Men, 16 years and over 16 to 19 years

16 to 17 years . . 18 to 19 years . .


25 to 54 years . 55 years and over

Women, 16 years and oi 16 to 19 years

16 to 17 year* . . 18 to 19years . .


25 to 54 years . 55 years and over

5,904 1,542

761 771

1,322 3,032 2,590

444

2,997 830 425 401 686

1,479 1,219

262

2,907 712 336 370 636

1,553 1,371

182

6,425 1,545

764 772

1,554 3,326 2,818

512

3,392 815 410 399 860

1,719 1,410

314

3,034 730 354 373 694

1,607 1,408

198

5, 16, 18. 13.8

5.1 16.2 19.2 13.7 8.4 3.2 3.3 2.9

6.8 15.7 17.8 14.0 9.1 5.0 5.4 3.2

5, 16. 16. 15. 9. 3. 4. 2.

5. 16. 16. 15. 8.8 3.3 3. 2.

6. 16. 17. 15. 9. 4. 5. 2.

5. 16, 18. 15. 9. 4. 4. 3,

5.2 15.7 17.1 14.4 9.-5 3.4 3.5 2.8

6.9 17.2 19.8 15.6 9.7 4.9 5.2 3.4

5.8 15.9 17, 14. 8.8 4.0 4.3 2.7

5.2 15.8 17.8 14.0 8.4 3.5 3.8 2.6

6.6 16.1 16.7 15.5 9.3 4.7 5.0 2.9

5, 16, 18. 14, 9, 3. 4.1 2.7

5.2 15.6 17.9 13.6 9.4 3.2 3.4 2.6

6.8 16.4 18.0 15.5 10.2 4.7 5.1 2.9

6.2 16.3 19.0 14.0 10. 4.

5.7 16.2 19.0 13.9 10.4 3.7 3.8 3.5

6.8 16.3 19.1 14.2 9.8 4.9 5.2 3.4



Table A-7. Range of unemployment measures based on varying definitions of unemployment and the labor force, seasonally adjusted

(Percent)

Quarterly averages

IV I I IV

1979

U-1 —Persons unemployed 15 weeks or longer as a percent of the civilian labor force

U-2—Job losers as a percent of the civilian labor force

U-3—Unemployed persons 25 years and over as a percent of the civilian labor force 25 years and over

U-4—Unemployed full-time jobseekers as a percent of the full-time labor force

U-5—Total unemployed as a percent of the civilian labor force (official measure)

U-6—Total full-time jobseekers plus ft part-time jobseekers plus ft total on part time for economic reasons as a percent of the civilian labor force less ft of the part-time labor force

U-7 —Total full-time jobseekers plus ft part-time jobseekers plus ft total on part time for economic reasons plus discouraged workers as a percent of the civilian labor force plus discouraged workers less ft of the part-time labor force

N.A.= not available.

1.2

2 . 4

3 . 9

5 . 2

5 . 8

J 7.2

3 . 0

1.2

2 . 4

3.9

5 . 2

5 . 3

7 .2

7 .9

1.2

2.U

3.9

5 . 2

5 . 9

1 . 1

2 . 5

3 . 9

5 . 3

5 . 8

8 . 0 8 . 0

1.2

2 . 6

3.9

5.4

5 .9

7 . 4

8 . 1

1 .1

2 . 6

4 .C

5 . 4

5 . 8

7 . 4

1.2

2 . 6

3.8

5 .4

5 .9

7 . 5

1.3

2.9

4 . 2

5.7

6.2

7 .8

H.A.

Table A-8. Employment status of the noninstitutional population by race and Hispanic origin, not seasonally adjusted [ Number m thousands]

Employment status Jan. 1979

J-in. 1930

Jan. 1979

Jan. 1980

Jan. 1979

Jan. 1980

Jan. 1979

Jan. 1980

Civilian norttnstrtationat population .

Civilian labor force Percent of population Employment

Agriculture Nonagrtouiltural industries

Unemployment Unemployment rate . . . .

Not rn labor farce

160 ,353

1 0 0 , 8 6 7 6 2 . 9

94 ,436 2 ,762

9 1 , 6 7 ? 6 , 4 3 1

6.4 59 ,487

163,020

1 0 3 , 1 8 8 6 3 . 3

9 6 , 1 4 5 2 ,782

9 3 , 3 6 3 7 , 0 4 3

6 . 0 5 9 , 8 3 2

1 4 0 , 6 8 3

88 ,983 6 3 . 3

8 3 , 9 5 0 2,493

8 1 , 4 5 2 5 , 0 3 8

5 . 7 5 1 , 6 9 5

1 4 2 , 8 0 6

9 0 , 9 5 0 6 3 .7

85 ,420 2 , 5 1 5

8 2 , 9 0 5 5,53C

6 . 1 5 1 , 8 5 6

1 6 , 8 5 5

10 ,088 5 9 . 9

8 , 8 2 2 216

8,606 1,266

1 2 . 5 6 ,767

17 ,240

1 0 , 3 3 9 6 0 . 0

8 ,988 217

8 , 7 7 1 1 , 3 5 1

1 3 . 1 6 , 9 0 1

7 , 4 7 7

4,748 6 3 . 5

4 , 3 2 5 174

4 , 1 5 1 423 8 . 9

2 , 7 3 0

8 , 0 3 3

5 , 1 5 9 6 4 . 2

4 ,665 192

4 , 4 7 4 494 9 . 6

2 , 8 7 4

stack workers only. According to the 1970 Census, they comprised about 89 peril other" population group.

2 Data on persons of Hispanic origin an tabulated separately, without regard to race, which n that they are also included in the data for white and black workers. At the time of the 1970 & approximately 96 percent of their population was white.


Table A-9. Employment status of male Vietnam-era veterans and nonveterans by age, not seasonally adjusted

(Numbers in thousands)

Veteran status and age

Civilian noninsti-tutional

population

J a n . 1979

J a n . 1980

Civilian labor force

J a n . 1979

J a n . 1 9 8 0

Employed

J a n . 1 9 7 9

J a n . 1 9 8 0

Unemployed

J a n . 1 9 7 9

J a n . 1 9 8 0

Percent of

labor force

J a n . 1979

J a n . 1980

VETERANS1

Total, 20 years and over 20 to 24 years

25 to 39 years 25 to 29 years 30 to 34 years 35 to 39 years

40 years and over

NONVETERANS

Total, 25 to 39 years 25 to 29 years 30 to 34 years 35 to 39 years

3 , 4 6 3 6 3 9

7,037 2,119 3,547 1,371 787

1 4 , 1 6 9 6 , 4 2 7 4 , 0 6 4 3 , 6 7 8

, 5 6 8 4 4 1

7 , 2 0 7 1 , 8 2 5 3 , 6 1 6 1 , 7 6 6

9 2 0

1 5 , 0 7 6 6 , 8 9 6 4 , 3 8 0 3 , 8 0 0

8,020 589

6,758 2,002 3,421 1,335 681

13,4 31 6,022 3,904 3,505

3, 117 412

6,924 1,718 3,507 1 ,699 781

14,311 6,531 4,175 3,o05

7,589 5C8

6,430 1,869 3,285 1,276 t>51

12,8C7 5,666 3,752 3,389

7,625 338

6,530 1,556 3,349 1,625 757

13,531 6,135 3,943 3,453

439 81

328 133 136 59 30

624 356 152 116

492 74

394 162 158 74 24

780 396 232 152

5.5 13.8

4.9 6.6 4.0 4.4 4.4

4.6 5.9 3.9 3.3

6.1 18.0

5.7 9.4 4.5 4.4 3.1

5.5 6.1 5.6

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 Vietnam-era veteran population.


HOUSEHOLD DATA TaMo A-10. Employment status of the noninstitiitional population for the ton

HOUSEHOLD DATA

largest States

[Numbers in thousands)

State and employment status

t seasonally adjusted

Jan. 1979

Dec. 1979

•Jan. 1980

Jan . 1979

S e p t . 1979

Oct. 1979

Nov. 1979

Dec. 1979

Jan. 1980

California Civilian noninstitutional population '

Civilian labor force Employed Unemployed Unemployment rate

Florida



Illinois

Civilian noninstitutional population' Civilian labor force

Employed Unemployed Unemployment rate

Massa



Mk

Civilian noninstitutional population' Civilian labor force *

Employed Unemployed Unemployment rate

asaw Jersey



Mm York Civilian n on institutional population1




Civilian noninstitutional population' Civilian labor force

Employed , Unemployed Unemployment rate

Texas



16,579 10 ,835 10,053

782 7.2

6,661 3 , 7 8 0 3 , 4 9 5

285 7 . 5

8 ,232 5,2 63 4 ,960

303 5 . 7

4 ,350 2 ,902 2 ,683

219 7.5

6 ,683 4 ,250 3 ,909

341 8.0

5,478 3,505 3,243

262 7 .5

13,264 7 ,980 7 ,363

617 7.7

7 ,889 4 , 9 82 4 , 6 5 2

330 6 .6

8 ,876 5 ,2 73 4 ,897

376 7 . 1

9 ,3 7 3 6,127 5,856

271 4.4

16,925 11,195 10,521

675 6.0

6 ,852 3 ,764 3 ,569

194 5.2

8,285 5,474 5, 135

339 6.2

4 , 3 8 9 2,852 2,708

144 5. 1

6,755 4,323 3 , 9 5 5

3*68 8.5

5 , 5 3 2 3 , 5 9 0 3 ,376

214 6 . 0

13,294 8,111 7 ,546

565 7 . 0

7 ,944 5,082 4,815

267 5 . 2

8 ,920 5,331 4 , 9 7 8

354 6 .6

9 ,618 6 ,327 6, 102

226 3.6

16,954 11,065 10,338

727 6 . 6

6,870 3,757 3,544

213 5.7

8 , 2 9 0 5 ,428 5 ,002

426 7.8

4 ,393 2 ,830 2 ,648

181 6 . 4

6 , 7 6 2 4 ,266 3,827

439 10.3

5 ,536 3 ,570 3,312

2 58 7.2

13,298 8 ,049 7 , 3 7 6

673 8 . 4

7 , 9 4 9 4 , 9 9 4 4 , 6 4 5

349 7 . 0

8 ,925 5 , 3 3 2 4,9 18

414 7.8

9,637 6,345 6,018

327 5.2

16,579 10,841 10,149

692 6 . 4

6,661 3,816 3,548

268 7.0

8,232 5 ,303 5 ,036

267 5 .0

4,350 2,901 2,721

180 6 . 2

6,683 4,270 3 , 9 5 7

313 7.3

5,478 3 ,536 3,285

251 7.1

13,264 8,004 7,438

566 7.1

7 ,889 5 ,047 4 ,748

299 5.9

8,876 5 ,324 4 ,977

347 6.5

9,373 6,151 5,903

248 4 . 0

16,836 11,081 10,375

706 6 . 4

6 , 7 9 8 3,813 3,588

225 5 . 9

8 ,266 5,371 5 ,046

325 6.1

4 ,377 2 ,930 2 , 7 4 3

187 6 .4

6 ,732 4 , 3 3 4 3 ,988

346 8 . 0

5,516 3 , 5 4 6 3 , 3 2 6

220 6 . 2

13,282 8,020 7,437

583 7.3

7 ,925 5 ,043 4 , 7 5 6

287 5 .7

8,903 5,307 4 ,943

364 6 .9

9,560 6 ,337 6,087

250 3 . 9

16,866 11,123 10,42 5

698 6 . 3

6,816 3,829 3 ,603

226 5.9

8,273 5 ,367 5 ,054

313 5.8

4,381 2,877 2,719

158 5.5

6 ,740 4 ,343 3 , 9 7 6

367 8.5

5,521 3,545 3,301

244 6.9

13,287 8,013 7,434

579 7 . 2

7,931 5,042 4 ,726

316 6 . 3

8 ,909 5 ,331 4 ,S02

429 8.0

9,580 6,315 6,061

254 4.0

16,895 11,135 10,458

677 6.1

6,834 3,783 3,570

213 5 . 6

8 ,279 5 ,395 5,078

317 5 . 9

4,385 2 ,636 2,687

149 5.3

6 ,747 4 ,344 3 , 9 8 7

357 8 . 2

5 ,526 3 , 5 2 6 3 ,279

247 7 . 0

13,290 8,117 7,551

566 7.0

7,9 37 5 ,033 4 ,743

290 5.8

8,9 15 5,33 7 4 , 9 5 0

387 7.3

9 ,599 6 ,329 6 ,062

267 4 . 2

16,925 11,178 10,481

697 6 .2

6,852 3,802 3,598

204 5.4

8,285 5,454 5,105

349 6 .4

4,389 2,879 2,719

160 5 .6

6 ,755 4 ,345 3 ,968

377 8 .7

5,532 3,568 3,335

233 6.5

13,294 8,114 7,525

589 7 . 3

7 ,944 5 ,069 4 ,775

294 5.8

8,920 5,304 4,930

374 7.1

9,618 6,342 6 ,092

250 3 . 9

16,954 11,074 10,434

640 5.8

6,870 3,791 3 ,596

195 5.1

8 ,290 5,466 5 ,077

389 7.1

4 , 3 9 3 2 ,827 2 ,685

142 5.0

6,762 4 , 2 8 3 3,875

408 9 . 5

5 ,536 3 ,597 3,348

249 6.9

13,298 8,064 7,440

624 7.7

7 ,949 5 , 0 6 2 4 , 7 4 3

319 6 . 3

8 , 9 2 5 5,383 4 ,998

385 7 .2

9 , 6 3 7 6 ,365 6 ,060

305 4 .8

1 The population figures are not adjusted for seasonal variations; therefore, identical numbers appear in the unadjusted and the seasonally adjusted columns.

* These are the official Bureau of Labor Statistics' estimates used in the administration of Federal fund a1

NOTE: The not seasonally adjusted labor force estimates for 1979 have been revised to reflect the latest 1979 population estimates for the States. These revised estimates wart used to develop seasonally adjusted data for 1979 and seasonal factors to be used in 1980, using the X-11/ARIMA methodology.


Table B-1. Employees on monagricultural payrolls by industry

[In thousands]

TOTAL

GOODS-PRODUCIiNG

MINING

CONSTRUCTION

MANUFACTURING Production workers

DURABLE GOODS Production workers

Lumber and wood products Furniture and fixtures Stone, clay, and glass products Primary metal industries Fabricated metal products Machinery, except electrical Electric and electronic equipment Transportation equipment Instruments and related products

Miscellaneous manufacturing

NONDURABLE GOODS Production workers

Food and kindred products Tobacco manufacturers Textile mill products Apparel and other textile products Paper and allied products Printing and publishing Chemkah and allied products Petroleum and coal products Rubber and misc. plastics products

Leather and leather products

SERVICE-PRODUCING

TRANSPORTATION AND PUBLIC UTILITIES

WHOLESAJJt AND RETAIL TRADE

WHOLESALE TRADE

RETAIL TRADE

FINANCE, INSURANCE, AND REAL ESTATE

SERVICES

GOVERNMENT

FEDERAL

STATE AND LOCAL


Jan. 1 9 7 9

8 7 , 1 2 8

2 5 , 6 7 1

P 1 0

3 , 9 9 8

2 0 , 7 6 3

1 4 , 9 1 0

1 2 , * i 6 1 P , 0 1 *

7 3 9 . 0 4 9 7 . 0

6 8 1 , 6 1 . 2 4 3 . 8 1 , 7 1 6 . 0

2 , 4 2 8 . 7 2 , 0 6 0 . 9

2 , 0 7 5 . ?

6 7 7 . 5

' 4 4 1 . 2

8 , 2 0 2 5 , 8 9 4

1 , 6 7 8 . 0 6 9 . 8

8 9 6 . * 1 , 3 1 3 . 6

7 0 0 . 0 1 , 2 2 1 . 0 1 , 1 0 0 . 0

2 0 5 . 8 7 7 1 . 0

2 4 6 , 3

6 1 , 4 5 7

5 , 0 1 0

1 9 , 7 6 5

5 , 0 6 6 1 4 , 6 9 9

4 , 8 2 9

1 6 , 3 5 3

1 5 , 5 0 0

2 , 7 3 0 1 2 , 7 7 0

M O V .

1 9 7 9

9 0 , 9 0 2

2 6 , 8 2 9

98'4

4 , 8 7 9

2 0 , 9 6 6 1 A , 9 5 4

1 2 , 6 6 1

8 , 9 8 3

7 4 8 . 9

4 8 8 . 7 7 1 2 . 9

1 , 2 1 6 . 7

1 , 7 3 8 . 2 2 , 4 4 0 . 9

2 , 1 4 6 . 3 2 , 0 0 9 . 7

6 9 5 . 9 4 6 ? . 8

8 , 3 0 5

5 , 9 7 1

1 , 7 2 5 . 0 6 4 . 8

8 9 3 , o 1 , 3 0 6 . 2

7 1 5 . 9 1 , 2 6 5 . 6

1 , 1 1 5 . 2 2 1 7 . 2 7 5 7 . 6 2 4 3 . 2

6 4 , 0 7 3

5 , 2 5 5

2 0 , 5 8 0

S , 2 5 1 1 5 , 3 2 9

5 , 0 2 9

1 7 , 2 8 1

1 5 , 9 2 8

2 , 7 6 0 1 3 , 1 6 8

O F C . p

1 9 7 9

9 1 , 0 0 0

2 6 , 5 9 8

9 8 « ;

4 , 7 0 8

2 0 , 9 0 5 1 4 , 9 0 0

1 2 , 6 4 5 8 , 9 6 9

7 3 0 . 8 4 8 6 . 6

6 9 9 . 7

, 2 0 4 , 5

, 7 2 8 . 7 4 5 4 . 6

, 1 5 4 . 7 , 0 3 8 . 6

6 9 9 . 2

4 4 7 . 2

8 , 2 6 0

5 , 9 3 1

1 , 6 9 9 . 2

6 6 . 5 8 9 3 . 7

1 , 2 9 3 . 7 7 1 5 . 1

1 , 2 7 2 . 8 1 , 1 1 S . 7

2 1 5 . 1 7 4 6 . 9 2 4 1 . 0

64,402

5,237

20,923

5,238 15,685

5;039

17,273

15,930

2,770 13,160

JAN. 1980

89,176

25,959

077

4,305

20,677 1-4,673

12,518 8,822

709.8 483.8 675.6

1,199.5 1,705.8 2,499.4 2,147.8 1,963.2 698.3 434.4

8,159 5,851

1,645,8 65.0

887.8 1 ,276.9

712.7 1 ,266.9 1,114.3

211.8 743.4 234.7

63,217

5,173

20,175

5,207 14,968

5,030

17,083

15,756

2,754 13,0021

Seasonally adjusted

JAN. 1079

88,433

26,382

927

4,497

20,958 15,085

12,640 9,085

768 497 709

1,250 1,725 2,419 2,065 2,069

679 459

8,318 6,000

1,735 68

900 1,339

706 1,225 1,109 211 774 251

62,051

5,071

19,965

5,102 14,863

4,868

16,670

15,477

2,758 12,719

SFPT. 1979

89,803

26,593

973

4,671

20,949 1«,957

12,737 9,0 66

758 4 80 708

1,236 1 ,716 2,496 2,117 2,086

692 448

8,212 5,891

1,691 65

884 1,294

714 1,245 1,110

215 751 243

63,210

5,180

20,169

5,190 14,979

4,997

17,191

15,673

2,762 12,911

D C T . 1 0 7 9

89.9R2

26,572

979

4,694

20,899 14,894

12,650 8,972

760 482 709

1,226 1 ,723 2,455 2,125 2,025

696 449

8,249 5,922

1,707 65

887 1,299

715 1,252 •1,113

217 751 243

63,410

5,218

20,243

5,209 15,034

5,018

17,2*7

15,674

2,770 12,904

1979

90,100

26,533

983

4,714

20,836 14,8?9

12,587 8,908

751 4*>3 704

1 ,223 1,726 2,438 2,125 1 ,994 694 449

8,249 5,921

1,710 60

889 1 ,292

714 1 ,262 1,114 217 749 242

63,567

5,229

20,308

5,235 15,073

5,039

17,298

15,693

2,771 12,922

1979

90.2*1

26,654

992

4,780

20,8A? 14,873

12,610 8,929

741 4*2 706

1,208 1 ,724 2,442 2,142 2,014

69« 453

8,272 5,9'I4

1,718 62

893 1,299

714 1,264 1,119 217 74 4 242

63,577

5,206

20,246

5,222 15,024

5,054

17,360

15,711

2,771 12,940

J9«0

p=preliminary.


ESTABLISHMENT DATA ESTABLISHMENT DATA

Table B-2, Average weekly hours of production or nonsupervisory workers, on private nonagricultural payrolls by industry

Industry

TOTAL PRIVATE

MINING

CONSTRUCTION

MANUFACTURING Overtime hours

DURABLE GOODS Overtime hours

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

NONDURABLE GOODS Overtime hours

Food and kindred products .,

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. plastics products


WHOLESALE AND RETAIL TRADE

WHOLESALE TRADE RETAIL TRADE


SERVICES


JAN, 1079

3 5 . 2

4 2 . 4

3 4 . 6

4 0 . 1 3 . 5

4 0 . 9 3 . 8

3 8 . 5 3 8 . 3 4 0 . 5 4 2 . 2 U 0 . 8 4 2 . 1 4 0 . 3 4 1 . 9 « 0 . 6 3 8 . 6

3 8 . 9 3 . 0

3 9 . 5 3 6 . 1 3 9 . 0 3 4 . 6 4 2 . 6 3 7 . 1 4 1 . 7 4 2 . 8 • 1 . 1 3 6 . 3

3 9 . 6

3 2 . 0

3 8 . 4 2 9 . 9

3 6 . 4

3 2 . 4

NOV. 1979

3 5 . 6

4 3 . 7

3 6 . 5

4 0 . 4 3 . 4

4 0 . 8 3 . 5

3 8 . 8 3 9 . ? 4 1 . 7 4 0 . 7 « 1 . 0 4 1 . 9 4 0 . 9 4 0 . 8 4 1 . 4 3 9 . 6

3 9 . 6 3 . 3

4 0 . 2 3 9 . 0 4 1 . 3 3 5 . 6 4 2 . 9 3 7 . 9 4 2 . 1 4 4 . 8 4 0 . 3 3 6 . 8

4 0 . 2

3 2 . 4

3 8 . 9 3 0 . 4

3 6 . 4

3 2 . 6

DEC. 1079P

3 6 . 0

4 3 . 9

3 7 . 1

4 1 . 0 3 . 4

4 1 . 7 5 . 5

3 9 . 4 3 9 . 9 4 1 . 9 4 0 . 9 0 2 . 0 4 2 . 9 4 1 . 4 4 2 . 6 4 1 . 7 3 9 . 6

4 0 . 0 5 . 2

4 0 . 4 3 9 . 9 4 1 . 6 3 6 . 0 4 3 . 6 3 8 . 1 4 2 . 3 4 4 . 2 4 0 . 7 3 7 . 2

4 0 . 2

3 2 . 9

3 9 . 1 3 1 . 0

3 6 . 4

3 2 . 8

J A N . 19P0P

3 5 . 1

4 3 . 6

3 5 . 1

3 9 . 9 3 . 1

4 0 . 4 3 . 1

3 8 . 1 3 8 . 4 4 0 . 7 4 0 . 3 d 0 . 6 4 1 . 6 4 0 . 3 4 0 . 5 4 0 . 1 3 9 . 2

3 9 . 2 3 . 0

3 9 . 6 3 8 . 0 4 1 . 1 3 4 . 9 4 2 . 8 3 7 . 5 4 1 . 5 4 3 . t 4 0 . 0 3 6 . 7

3 9 . 6

3 1 . 8

3 8 . 3 2 9 . 7

3 6 . 4

3 2 . 4

Seasonally adjusted

J A N . J 9 7 9

35.8

43.4

37 .1

40 .6 3.7

41.4 4 .1

39 .9 38 .9 41.8 42 .3 « i . l 42 .3 40.5 «2 .8 41 .1 39.0

39.5 3 .2

40.0 37 .2 40 .7 35 .3 42 .8 37.7 42.0 43 .5 * 1 . 4 36.8

40.0

32 .5

38.7 30 .6

56 .3

32.6

i SEPT. 1979

35.7

43.1

37 .5

40 .2 3.2

40 .7 3 .3

39.7 38 .6 41 .5 41 .0 40 .7 41 .9 40 .3 40 .6 40 .6 39.1

59 .3 3 .1

40 .0 38 .6 40.6 35 .3 42 .4 37.5 41 .7 44 .1 4 0 . 3 ; 37 .0

39 .9

32 .6

38 .7 30 .7

36.4

32 .7

OCT. 1979

35 .6

43 .1

* 6 . 6

40 .2 3.2

40 .8 3 .3

39.4 38 .8 41 .3 41 .1 40 .9 41 .6 40 .3 41 .3 40 .7 59 .1

59 .3 3 .0

39 .9 38 .3 40 .8 i 35 .3 42 .6 37.4 ! 41 .7 43 .7 40 .3 36 .5

3 9 . 9

32 .6

38 .8 '30.6

36 .2

32 .6

NPV. 1979

35 .7

43 .2

36 .8

40 .1 5 .5

40 .6 3 .4

38 .9 3A.9 41 .5 40 .7 40 .7 41 .6 flO.6 40 .6 41 .0 39 .1

39 .4 3 .2

40 .0 37 .8 41 .1 35 .3 42 .7 37 .6 4 1 . 9 44 .4 40 .0 36 .7

40 .2

32 .7

38 .9 30 .7

36 .5

32 .7

DEC. 1979 p

3 5 . 7

4 3 . 9

3 7 . 1

4 0 . 3 3 . 2

4 0 . 8 5 . 3

3 9 . 2 3 9 . 0 4 1 . 7 4 0 . 6 • 1 . 1 « 1 . 7 4 0 . 6 4 1 . 0 4 0 . 9 3 9 . 1

3 9 . 5 3 . 1

4 0 . 0 3 9 . 2 4 1 . 1 3 5 . 7 4 3 . 0 3 7 . 4 4 1 . 8 4 4 . 3 3 9 . 9 3 6 . 8

4 0 . 0

3 2 . 6

3 8 . 9 3 0 . 6

3 6 . 4

3 2 . 9

J A N . 1980

3 5 . 7

4 a # 6

3 7 . 6

4 0 . 4 3 . 3

4 0 . 8 3 . 3

3 9 . 5 3 9 . 0 4 2 . 0 4 0 . 4 a o . 9 4 1 . 8 ^ 0 . 5 4 1 . 4 4 0 . 6 3 9 . 6

3 9 . 7 3 . 2

4 0 . 1 3 9 . 1 4 1 . 9 3 5 . 6 4 3 . 0 3 8 . 1 4 1 . 8 4 3 . 8 4 0 . 3 3 7 . 2

4 0 . 0

3 2 . 4

3 8 . 6 3 0 . 4

3 6 . 3

3 2 . 6

Data relate to production workers in mining and manufacturing: to construction workers in construction; and to nonsupervisory workers in transportation and public utilities; wholesale and fetai) trade; finance, insurance, and real estate; and Services. These Jtoups account for approximately four-fjfths of the total employment on private nonagncultural payrolls,

p = preliminary.



Table B-3. Average hourly and weekly earnings of production or nonoupervisory workers on private nonagricultural payrolls by industry

industry

TOTAL PRIVATE

MINING

CONSTRUCTION

MANUFACTURING

DURABLE GOOOS

Lumber and wood products

Stone, clay, and glass products

Fabricated metal products

Electric and electronic equipment





SERVICES

A—rage hourly earninp

J A N . 1979

$ 5 . 9 7 5.9fe

8 . 2 0

ft.9ft

6 . 4 9

6 . 9 2

5 . 7 9 '4.A7 6 . 5 7 8 . 6 2 fc.60 7 . 1 0 6 . t 1 ft.3a 5.<>9 a . 9 3

5 . 8 1

6 . 0 9 6 . 3 6 4 . 5 ? « . 1 7 6 . 8 0 6 . 7 2 7 . 3 ?

°.oi 5.82 «.13

7.90

<l. 96

6.18

a.47

5.13

5.23

NOV. 1970

S6.35 6.33

ft.70

9.50

6.86

7.29

6.23 5.23 7.07 9.26 6.99 7.51 6 .S I A.68 6.3P 5.15

6.21

6.51 7.01 a . 86 a .32 7.42 7.09 7.87 9 .57 6.14

4 . 3a

8 .52

5.18

6.57 4 .62

5.4?

5.54

DFC. 1979H

S6.38 6.38

8 .72

9 .56

6.96*

7.41

6 .23 5.28 7.10 9.30 7 . U 7.63 6.62 P.90 6.49 5 .22

6.26

6.55 7.04 4 .88 a.39 7.49 7.15 7 ,89 9.44 6.22 4 .40

8.55

5.17

6.66

a.60

5 .48

5 .60

JAN 1980M

S6.41 6.40

8.70

0 .53

6.95

7.37

6 .22 5.30 7.07 9 .26 7.04 7.63 6 .61 8.80 6.44 5 .32

6.31

6.61 7.10 4 .89 4 .41 7 .52 7 .21 7.95 9.77J 6 . 2 4 4 . 5 3

8 . 5 5

5 . 3 0

6 . 6 8 4 . 7 4

5 . 5 2

5 . 6 5

Average WMM^ eaimiwy

J A N . 1979

$ 2 1 0 . 1 4 2 1 3 . 3 7

3 4 7 . 6 8

3 1 0 . *M

2 6 0 . 2 5

2 8 3 . 0 3

2 2 2 . 9 ? 1 8 6 . 5 2 2 6 6 . 0 9 3 6 3 . 7 6 2 6 9 . 2 8 2 9 8 . 9 1 2 4 6 . 2 3 3 4 9 . 4 5 2 « 3 . 1 9 1 9 0 . 3 0

2 2 6 . 0 1

2 4 0 . 5 6 2 2 9 . 6 0 1 8 0 . 3 5 1 4 4 . 2 * 2 8 9 . 6 8 2 4 9 . 3 1 3 0 5 . 2 4 3 8 5 . 6 3 2 3 9 . 2 0 1 1 4 9 . 9 2

3 1 2 . 8 4

1 5 8 . 7 2

2 3 7 . 3 1 1 3 3 . 6 5

1 8 6 . 7 3

1 6 9 . 4 5

NOV. 1979

S 2 2 6 . 0 6 2 2 5 . 9 8

3 8 0 . 1 9

3 4 6 . 7 5

2 7 7 . 1 4

2 9 7 . 4 3

2 4 1 , 7 2 2 0 5 . 0 2 2 9 4 . 8 ? 3 7 6 . 8 8 2 8 6 . 5 9 3 1 4 . 6 7 2 6 6 . 2 6 3 5 4 . 1 4 2 6 4 . 5 5 2 0 3 . 9 4

2 4 5 . 9 2

2 6 1 . 7 0 2 7 3 . 3 9 2 0 0 . 7 2 1 5 3 . 7 9 3 1 8 . 3 2 2 6 8 . 7 1 3 3 1 . 3 3 4 2 8 . 7 4 2 4 7 . 4 4 1 5 9 . 7 1

3 4 2 . 5 0

1 6 7 . 8 3

2 5 5 . 5 7 1 4 0 . 4 5

1 ^ 7 . 2 9

1 8 0 . 6 0

DEC. 1979 p

$229.68 ??7.77

3A2.81

354.68

?A5.36

309.00

245.46 210.67 297.4Q 380.37 298.6? 3?7.33 274.07 379.14 270.63 206.71

250.40

264.6? 280.90 203.01 15A.04 326.56 272.4?; 333.75 417.25 253.15 163.6ft

343.71

170.09

260.41 142.60

199.47

183.68

JAN. 19ftn p

*224 .99 228.48

379.3?

334.50

277.31

297.75

236.98 203.5? 287.75 373.18 285.8? 317.41 266.38 356.40 258.?4 208.^4

247.35

261.76 269.80 200.9R 153 .9 ! 321.86 270.38 329.93 421.00 249.60 166.25

338.5ft

168.54

255.84 140.78

200.93

183.06

1 See footnote 1, table B-2. preliminary.


ESTABLISHMENT DATA

Table B-4. Hourly earnings index for prodasetior? >r r ^supervisory worke

nonagricultural payrolls by industry - i * 'wkn, *r.} tonally adjusted

[1967=100]

ESTABLISHMENT DATA

on private

Industry J A N , 1 9 7 9

A ' l G , 1 0 7 0

S E P T . 1 0 7 9

OCT. 1 9 7 9

N O V , 1 9 7 9

O E C . P 1 9 7 9

J A N , P 1 9 8 0

•aaaajat cfaejta* frwa

J A N , 1 9 7 9 -J A W , 1 9 « 0

D E C . 1 9 7 9 -J A N . 1 9 8 0

T O T A L P R I V A T E N O N F A R M :

Current dollars Constant 0967) dollars

MINING CONSTRUCTION MANUFACTURING TRANSPORTATION AND PUBLIC UTILITIES WHOLESALE AND RETAIL TRADE FINANCE. INSURANCE. AND REAL ESTATE SERVICES

2 2 2 . 6 1 0 « , 5

2 5 2 . 1 2 1 3 . 8

225 .4

2 4 0 . 8

2 1 7 . 7 2 0 2 , u

??*. 8

2 3 ? . ? K ) 5 . 1

2 * 5 . 6 ? ? 3 . t 2 3 6 . 9 2 5 2 . 6 2 2 5 . 4 2 1 1 . 5 2 ? « . 4

2 * 4 . 1 0 4 ,

2 6 6 , 1 2 2 4 . 4 2 T R . 7 2 5 5 . 6 2 2 7 . 0

21 a. a 2 3 1 . 5

2 3 4 . 9 1 0 4 . 2

2*8,0 224 .0 240 .0 2 5 5 . 8 227 .4 213 .1 2 3 2 . 3

2 3 7 . 3 1 0 4 , 2

2 7 1 , 8 2 2 5 . 8 2 4 2 . 1 2 * * . 9 2 2 9 . 5 2 1 6 . 2 2 3 4 . 7

2 3 9 , 3

1 0 3 . 9

2 7 2 . 8 2 2 7 . 4 2 4 4 . 1 2 6 0 . 5 2 3 0 . 9 2 1 8 . 4 2 3 7 . 8

2 3 9 . 8 N , A .

2 7 0 , 6 2 ? 6 . 2 2 4 4 . 7 2 6 1 . 0 2 3 3 . 2 2 1 7 . 5 2 3 7 . 6

7_7

f2)

7.3

5.«

*.* «.4

7.1

7.5

7.6

0.2

(3)

-.« - . * .2

.2

1.0

•.4

-.1

1 SEE EHOTNOTF 1, TABLE rt-2.

i PFHCtNT CHANGc v-AS -4.5 FKOM OFCF^RFP 1°7P TO DFTFMREP 1079, THF LATEST MONTH AVAILABLE.

1 pFRCENT CWANGF wAS -.3 FROM MiivRMRF^ 197<> Tfi DETE'^FR 1079, THF LATEST MONTH AVAII..A8LF.

AN.A. = not available, p^prelijntrtary.

NOTE: All series are in current dollars except where indkatad. 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 ovartima data are available) and the effects of changes in the proportion of workers in high-wage and low-wage industries.

Table B-5. Indexes of aggregate weekly hours of production or nonsupervisory workers, on private

nonagricultural payrolls by industry, seasonally adjusted

[1967=1001

Industry division and group

TOTAL PRIVATE

GOODS-PRODUCING

MINING

CONSTRUCTION

MANUFACTURING

DURABLE GOODS

Stone, clay, and glass products

Electric and electronic equipment

Instruments and related products

NONDURABLE GOODS

Apparel and other textile products

SERVICE-PRODUCING





SERVICES

1 See footnote 1, table B-2.

JAN,

1 2 4 . 4

1 1 0 . 3

1 5 2 . 0

1 2 * . 9

1 0 5 . 6

1 0 9 . 2 1 1 5 . 9 1 0 9 . 9 1 1 3 . 0 1 0 0 . 1 1 0 7 . 6 1 1 5 . 8 1 0 6 . 6 1 0 5 . 9 1 2 8 . 2 1 0 2 . 3

1 0 0 . 3 9 8 . 1 7 1 . 8 9 1 . 9 9 1 . 0

1 0 1 . 1 1 0 2 . 5 1 0 8 . 7 1 2 2 . 7 1 5 3 . 5

6 7 . 9

1 3 4 . 2

1 1 2 . 8

1 2 9 . 0

1 3 0 . 5 1 2 8 . 5

1 4 3 . 3

, 1 4 8 . 6

FEB.

1 2 4 . 7

1 1 0 . 2

1 5 2 . 5

1 2 6 . 7

1 0 5 . 8

1 0 9 . 9 1 1 4 . 9 1 0 9 . 1 U 2 . 8 1 0 0 . 3 1 0 8 . 7 1 1 7 . 4 1 0 7 . 8 1 0 6 . 9 1 2 9 . 4 1 0 1 . 7

9 9 . 8 9 7 . 0 7 0 . 0 9 0 . 3 9 0 . 3

10.1.8 1 0 3 . 1 1 0 8 . 5 1 2 3 . 9 1 5 4 . 0

6*6,6

13**.8

1 1 3 . 3

1 2 9 . 3

1 3 0 . 8 1 2 8 . 7

1 4 4 . 1

1 4 9 . 5

MAR.

1 2 5 . 7

1 1 1 . 3

1 5 2 . 5

1 3 2 . 7

1 0 6 . 0

1 1 0 . 1 1 1 6 . 4 1 0 9 , 4 1 1 4 . 9 1 0 0 . 2 1 0 8 . 6 1 1 7 . 5 1 0 8 . 5 1 0 5 . 9 1 2 9 , 7 1 0 1 . 7

1 0 0 . 1 9 8 . 1 7 3 . 4 9 0 . 6

8 9 . 9 1 0 3 . 0 1 0 3 . 4

1 0 8 . 1 1 2 5 . 0 1 5 4 . 4

6 6 . 1

1 3 5 . 8

1 1 3 . 7

1 3 0 . 2

1 3 2 . 3 1 2 9 . 3

1 4 4 . 6

. 1 5 1 . 1

APR.

1 2 3 . 6

1 0 6 . 8

1 5 2 . 0

1 2 4 . 9

10.2.0

1 0 5 . 0 1 1 2 . 4 1 0 5 . 8 1 1 1 . 5

9 9 . 7 1 0 2 . 7 1 1 3 . 0 1 0 4 . 4

9 4 , 3 1 2 7 . 2

9 7 . 5

9 7 . 8 9 6 . 8 7 3 . 9 8 6 . 7 8 6 . 8

1 0 0 . 8 L 0 1 . 7 1 0 7 . 7 1 2 5 . 7 1 4 8 . 4

6 f . 9

1 3 5 . 3

1 0 9 . 2

1 3 0 . 6

1 3 1 . 3 1 3 0 . 3

1 4 5 . 5

1 5 1 . 0

1979 ,

MAY

1 2 5 . 4

1 1 0 . 3

1 5 1 . 6

1 3 3 . 7

1 0 4 . 7

1 0 8 . 3 1 1 3 . 3 1 0 5 . 9 1 1 3 . 1

9 7 . 9 1 0 6 . 6 1 1 7 . 4 1 0 8 . 2 1 0 2 . 6 1 2 8 . 1

9 8 . 7

9 9 . 5 9 7 . 0 7 6 . 5 8 9 . 5 A9 .5

1 0 2 . 3 1 0 3 . 1 1 0 8 . 3 1 2 4 . 2 1 5 3 . 4

6 5 . 4

1 3 5 . 9

1 1 3 . 4

1 3 0 . 2

1 3 2 . 8 1 2 9 . 1

1 4 4 . 5

1 5 1 . 7

•pra

JUNE

1 2 5 . 7

1 1 0 . 1

1 5 2 . 5

1 3 4 . 4

1 0 4 . 3

1 0 7 . 9 1 1 2 . 7 1 0 5 . 3 1 1 3 . 0

9 7 . 9 1 0 7 . 1 1 1 7 . 6 1 0 8 . 6

9 9 . 4 1 2 8 . 4 1 0 0 . 3

9 9 . 1 9 6 . 8 7 2 . 6 8 9 , 6 8 8 . 7

1 0 2 . 1 1 0 3 . 3 1 0 8 . 4 1 2 3 . 1 1 5 0 . 4

6 6 . 0

1 3 6 . 5

1 1 5 . 0

1 3 0 . 0

1 3 2 . 8 1 2 8 . 9

1 4 5 . 7

1 5 2 . 6

*i miner/.

JULY

1 2 5 . 7

1 0 9 . 9

148 .4

1 3 3 . 9

1 0 4 , 4

1 0 7 . 9 1 1 1 . 9 1 0 5 . 9 1 1 1 . 5

9 7 . 8 1 0 6 . 7 1 1 8 . 0 1 0 8 . 5 1 0 0 . 3 1 2 8 . 1 1 0 0 . 7

9 9 , 1 9 5 , 9 7 3 . 0 8 9 , 8 8 9 , 5

1 0 3 , 2 1 0 4 . 4 1 0 8 . 8 1 2 3 . 0 1 5 0 . 5

6 1 . 3

1 3 6 . 7

1 1 4 . 2

1 2 9 . 9

1 3 2 . 7 1 2 8 . 9

1 4 6 . 5

1 5 3 . 5

AUG.

1 2 5 . 5

1 0 9 . 4

1 5 6 . *

1 3 4 . 5

1 0 3 . 3

1 0 6 . 8 1 1 2 . 3 1 0 4 . 5 H P . 8

9 5 . 9 1 0 4 . 8 1 1 6 . 2 1 0 4 . 7 1 0 2 . 6 1 2 7 . 2 1 0 0 . 8

9 8 . 2 9 4 , 6 6 6 . 7 8 9 . 0 8 8 . 0

1 0 3 . 1 1 0 4 . 7 1 0 8 . 2 1 2 4 . 2 1 4 5 . 6

6 4 . 9

1 3 6 . 6

1 1 5 . 2

1 2 9 . 6

1 3 2 . 4 1 2 8 . 5

1 4 6 . 3

1 5 3 . 4

SEPT.

1 2 5 . 9

1 0 9 . 7

1 5 7 . 4

1 3 5 . 4

1 0 3 . 4

1 0 7 . 1 1 1 3 . 6 1 0 4 . 8 1 1 1 . 2

0 5 . 3 1 0 5 . 4 1 1 7 . 7 1 0 7 . 2 1 0 0 . 1 1 2 7 . 2

9 9 . 9

9 8 . 1 9 5 . 0 7 0 . 5 8 9 . 8 8 7 . 5

1 0 2 . 2 1 0 3 . 9 1 0 7 . 6 1 2 6 . 2 1 4 3 . 5

6 6 . 1

1 3 7 . 2

1 1 4 . 9

1 3 0 . 4

1 3 2 . 5 1 2 9 . 6

1 4 7 . 1

1 5 3 . 8

OCT.

1 2 5 . 8

1 0 9 . 0

1 5 8 . 1

1 3 2 . 7

1 0 3 . 1

1 0 6 . 2 1 1 3 . 3 1 0 5 . 9 1 1 0 . 6

9 4 . 6 1 0 6 . 1 1 1 4 . 3 1 0 7 . 6

9 7 . 4 1 2 7 . 8

9 9 . 9

9 8 . 5 9 6 . 1 6 9 . 9 9 0 . 6 8 7 . 9

1 0 2 . 7 1 0 4 . 3 1 0 7 . 9 1 2 5 . 1 1 4 3 . 5

6 5 . 2

1 3 7 . 5

1 1 5 . 8

1 3 0 . 7

1 3 3 . 4 1 2 9 . 7

1 4 6 . 7

1 5 4 . 1

NOV..

1 2 6 . 3

1 0 8 . 7

1 5 8 . 4

1 3 3 . 7

1 0 2 . 5

1 0 5 . 1 1 1 0 . 1 1 0 6 . 2 1 1 0 . 4

9 3 . 1 1 0 5 . 8 1 1 3 . 6 1 0 8 . 1

9 3 . 7 1 2 7 . 8

9 9 . 9

9 8 . 8 9 6 . 5 6 1 . 1 9 1 . 8 8 7 . 3

1 0 2 . 8 1 0 5 . 9 1 0 8 . 6 1 2 8 . 0 1 4 2 . 5

64 .9^

1 3 8 . 5

1 1 6 . 9

1 3 1 . 6

1 3 4 . 3 1 3 0 . 5

1 4 8 . 3

1 5 5 . 2

DEC.P

1 2 6 . 7

1 0 9 . 8

1 6 2 . 3

1 3 7 . 1

1 0 3 . 2

1 0 5 . 7 1 0 8 . 9 1 0 6 . 4 1 1 1 . 1

9 1 . 8 1 0 6 . 5 1 1 3 . 9 1 0 9 . 0

9 6 . 6 1 2 8 . 5 1 0 1 . 4

9 9 . 4 9 7 . 3 6 6 . 1 9 2 . 1 8 8 . 9

1 0 3 . 7 1 0 5 , 2 1 0 9 . 2 1 2 8 . 6 1 4 1 . 1

6 4 , 8

1 3 8 . 4

1 1 5 . 8

1 3 0 . 9

1 3 4 . 2 1 2 9 . 6

1 4 8 . 2

1 5 6 . 4

1980

JAN. P

126.7

110.5

163.9*

140.8

103.3

105.4

108.7

106.2 111.7 91.0

105.1

116.5 109.3 93.1

128.4 102.1

100.2 96.6 68.6 93.9 88.8

104.3 108.5 110.0 129.0 143.5 64.5

138.0

116.1

130.7

113.6 129,6

148.2

*****



Table B-6. Indexes of diffusion: Percent of industries in which employment1 increased

1977

Onr 12-month fpin

April May June

July August

October November December

1978

January February March

April May June

July

September

October November

December

1979

January

February March , April , May June -

July

Sep tember

October

November

December

1980

January

February March April

May June ,

July August September ,

October

70.3 65.1 60.5

75.3 76.7 79.7

58.1 50.3 46.8

82.8 81.1 82.0

nally adjusted, on payrolls of 172 private nonagncultural industries.

o wo

r » J

2* f f H

5PO


The employment situation - FRASERTHE EMPLOYMENT SITUATION: JANUARY 1980 Unemployment rose in...

Documents

Transcript of The employment situation - FRASERTHE EMPLOYMENT SITUATION: JANUARY 1980 Unemployment rose in...