fraser.stlouisfed.orgMonthly Household Data Page Historical A-l. Employment status of the civilian...

EMPLOYMENT AND EARNINGS U.S. Department of Labor Bureau of Labor Statistics August 1995

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

U.S. DEPARTMENT OF LABOR Robert B. Reich, Secretary

BUREAU OF LABOR STATISTICS Katharine G. Abraham, Commissioner

E&E—Employment and Earnings (ISSN 0013-6840), is prepared in the Office of Employment and Unemployment Statistics in collaboration with the Office of Publications and Special Studies. The data are collected by the Bureau of the Census (Department of Commerce) and State employment security agencies, in cooperation with the Bureau of Labor Statistics. A brief description of the cooperative statistical programs of the BLS with these agencies is presented in the Explanatory Notes and Estimates of Error. The State agencies are listed on the inside back cover.

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Jan.

Jan.

Jan.

Jan.

Jan.

Jan., Apr., July, Oct.

August 1995 Vol. 42 No. 8

Calendar of Features

In addition to the monthly data appearing regularly in Employment and Earnings, special features appear in most of the issues as shown below.

Household data

Annual averages

Union affiliation

Earnings by detailed occupation

Employee absences

Revised seasonally adjusted series

Quarterly averages: Seasonally adjusted data, persons of Hispanic origin, Vietnam-era veterans and nonveterans, and weekly earnings data

Establishment data

National annual averages:

Industry divisions (preliminary) Jan.

Industry detail March, June

Women employees March, June

National data revised to reflect new benchmarks and new seasonal adjustment factors June

Revised historical national data Bulletin1

State and area annual revisions March

State and area annual averages May

Area definitions May

State and area labor force data

Annual revisions March

Annual averages May

'The most recent publication was issued in September 1994 as Employment, Hours, and Earnings, United States, 1909-94, BLS Bulletin 2445, and is available from: New Orders, U.S. Superintendent of Documents, P.O. Box 371954, Pittsburgh, PA 15250-7954, at $46 a copy, GPO Stock Number 029-001-03197-1.


Employment and Earnings Editors: Gloria Peterson Green, Eugene H. Becker

Contents

adjusted

Establishment data: Employment:

National 45 State Area

Hours and earnings: National 46 State and area

Local area labor force data: Region State Area

Page

List of statistical tables 2 Contents to the explanatory notes and estimates of error 4 Employment and unemployment developments, July 1995 5 Summary tables and charts 7 Explanatory notes and estimates of error 139 Index to statistical tables 176

Statistical tables

Not Source Historical y seasonally

adjusted

Household data 10 12 21

49 54

62

125 127

66 79 79 98 121

132 132


Monthly Household Data

Page Historical

A-l. Employment status of the civilian noninstitutional population 16 years and over, 1961 to date 10

A-2. Employment status of the civilian noninstitutional population 16 years and over by sex, 1984 to date 11

Seasonally Adjusted Data Employment Status

A-3. Employment status of the civilian noninstitutional population by sex and age 12 A-4. Employment status of the civilian noninstitutional population by race, sex, age, and Hispanic origin 13 A-5. Employed and unemployed full- and part-time workers by sex and age 15

Characteristics of the Employed

A-6. Employed persons by marital status, occupation, class of worker, and part-time status 16

A-7. Employed persons by age and sex 17

Characteristics of the Unemployed

A-8. Unemployed persons by age and sex 17 A-9. Unemployment rates by age and sex 18

A-10. Unemployment rates by occupation, industry, and selected demographic characteristics 19 A-ll . Unemployed persons by reason for unemployment 20 A-12. Unemployed persons by duration of unemployment 20

Not Seasonally Adjusted Data Employment Status

A-13. Employment status of the civilian noninstitutional population by age, sex, and race 21 A-14. Employment status of the civilian noninstitutional population by race, sex, and age 24 A-15. Employment status of the civilian noninstitutional population 16 to 24 years of age

by school enrollment, educational attainment, sex, race, and Hispanic origin 25 A-16. Employed and unemployed full- and part-time workers by age, sex, and race 27

Characteristics of the Employed

A-17. Employed persons by occupation, sex, and age 28 A-18. Employed persons by occupation, race, and sex 29 A-19. Employed persons by industry and occupation 30 A-20. Employed persons in agriculture and nonagricultural industries by age, sex, and class of worker 31 A-21. Persons at work in agriculture and nonagricultural industries by hours of work 32 A-22. Persons at work 1 to 34 hours in all and nonagricultural industries by reason for working less

than 35 hours and usual full- or part-time status 32 A-23. Persons at work in nonagricultural industries by class of worker and usual full- or part-time status 33 A-24. Persons at work in nonagricultural industries by age, sex, race, marital status, and usual full- or part-time status... 34 A-25. Persons at work in nonfarm occupations by sex and usual full- or part-time status 35

Characteristics of the Unemployed

A-26. Unemployed persons by marital status, race, age, and sex 36 A-27. Unemployed persons by occupation and sex 37 A-28. Unemployed persons by industry and sex 38 A-29. Unemployed persons by reason for unemployment, sex, age, and race 39 A-30. Unemployed persons by reason for unemployment, sex, age, and duration of unemployment 40 A-31. Unemployed persons, total and full-time workers, by duration of unemployment 40 A-32. Unemployed persons by age, sex, race, marital status, and duration of unemployment 41 A-33. Unemployed persons by occupation, industry, and duration of unemployment 42

Persons Not in the Labor Force

A-34. Persons not in the labor force by desire and availability for work, age, and sex 42

Multiple Jobholders

A-35. Multiple jobholders by selected demographic and economic characteristics 43

Vietnam-era Veterans and Nonveterans

A-36. Employment status of male Vietnam-era veterans and nonveterans by age 43

2


Monthly Establishment Data

Page Historical

B-l. Employees on nonfarm payrolls by major industry, 1944 to date 45 B-2. Average hours and earnings of production or nonsupervisory workers on private nonfarm payrolls by

major industry, 1964 to date 46

Seasonally Adjusted Data Employment

National

B-3. Employees on nonfarm payrolls by major industry and selected component groups 49 B-4. Women employees on nonfarm payrolls by major industry and manufacturing group 51 B-5. Production or nonsupervisory workers on private nonfarm payrolls by major

industry and manufacturing group 52 B-6. Diffusion indexes of employment change 53

States

B-7. Employees on nonfarm payrolls by State and major industry 54

Hours and Earnings

National

B-8. Average weekly hours of production or nonsupervisory workers on private nonfarm payrolls by major industry and manufacturing group 62

B-9. Indexes of aggregate weekly hours of production or nonsupervisory workers on private nonfarm payrolls by major industry and manufacturing group 63

B-10. Hours of wage and salary workers on nonfarm payrolls by major industry 64 B-11. Average hourly and weekly earnings of production or nonsupervisory workers on

private nonfarm payrolls by major industry 65

Not Seasonally Adjusted Data Employment

National

B-12. Employees on nonfarm payrolls by detailed industry 66

B-13. Women employees on nonfarm payrolls by major industry and manufacturing group 78

States and Areas

B-14. Employees on nonfarm payrolls in States and selected areas by major industry 79

Hours and Earnings

National

B-15. Average hours and earnings of production or nonsupervisory workers on private nonfarm payrolls by detailed industry 98

B-l5a. Average hourly earnings in aircraft (SIC 3721) and guided missiles and space vehicles (SIC 3761) manufacturing 118

B-16. Average hourly earnings, excluding overtime, of production workers on manufacturing payrolls 119 B-17. Average hourly and weekly earnings of production or nonsupervisory workers on private nonfarm

payrolls by major industry, in current and constant (1982) dollars 120 States and Areas

B-18. Average hours and earnings of production workers on manufacturing payrolls in States and selected areas 121

Monthly Regional, State, and Area Labor Force Data Seasonally Adjusted Data

C-l. Employment status of the civilian population for census regions and divisions 125 C-2. Labor force status by State 127

Not Seasonally Adjusted Data C-3. Labor force status by State and selected metropolitan areas 132


Explanatory Notes and Estimates of Error

Page

Introduction 139 Relation between the household and establishment series 139 Comparability of household data with other series 140 Comparability of payroll employment data with other series 140

Household data 141 Collection and coverage 141 Concepts and definitions 141 Historical comparability 144

Changes in concepts and methods 144 Noncomparability of labor force levels 145 Changes in the occupational and industrial

classification systems 147 Sampling 147

Selection of sample areas 148 Selection of sample households 148 Rotation of sample 149

Estimating methods 149 Noninterview adjustment 150 Ratio estimates 150

First stage 150 Second stage 150

Composite estimation procedure 150 Rounding of estimates 150 Reliability of the estimates 151

Nonsampling error 151 Sampling error 151

Tables 1-B through 1-H 152

Establishment data 159 Collection 159 Concepts 159

4

Page

Establishment data—Continued Estimating methods 162

Benchmarks 162 Monthly estimation 162

Stratification 162 Link relative technique 162 Bias adjustment 162 Summary of methods table 163

The sample 164 Design 164 Coverage 165 Reliability 165

Measures of error tables 165 Benchmark revision as a measure of survey error 165 Estimated standard errors for employment, hours,

and earnings 166 Standard errors for differences between industries and times 166

Noneconomic code changes 166 Revisions between preliminary and final data 169

Statistics for States and areas 169

Region, State, and area labor force data 172 Federal-State cooperative program 172 Estimating methods 172

Estimates for States 172 Current monthly estimates 172 Benchmark correction procedures 173

Estimates for sub-State areas 173 Preliminary estimate:

Employment 173 Unemployment 173

Sub-State adjustment for additivity 173 Benchmark correction 173

Seasonal adjustment 174


Employment and Unemployment Developments, July 1995

Both unemployment and nonfarm payroll employment were essentially unchanged in July. The unemployment rate was 5.7 percent in July and has shown very little movement in recent months. The overall weakness in payroll employment reflected a sharp drop in manufacturing jobs that was offset by small gains in a number of the service-producing industries. Average hourly earnings rose by 7 cents and the factory workweek continued its descent.

Unemployment The number of unemployed persons totaled 7.6 million in

July, and the unemployment rate was 5.7 percent. Both measures have shown little change since April. (See table A-3.)

Jobless rates showed little or no change in July for adult men (4.7 percent), adult women (5.1 percent), whites (4.8 percent), blacks (11.1 percent), and Hispanics (8.8 percent). In contrast, the rate for teenagers rose to 18.2 percent. Both the mean (16.5 weeks) and median (9.1 weeks) duration of unemployment rose over the month after falling in June. (See tables A-3, A-4, and A-12.)

Total employment and the labor force Total employment increased by 474,000 in July to 125.0

million (seasonally adjusted). A rise in employment among adult women was partly offset by a decline among teenagers. The employment-population ratio—the proportion of the working-age population with jobs—was up 0.2 percentage point to 62.9 percent but remains below the levels reached earlier in the year. (See table A-3.)

A total of 7.8 million workers (not seasonally adjusted), or 6.1 percent of all employed persons, held two or more jobs in July. A year earlier, 5.8 percent of the employed held more than one job. (See table A-35.)

The civilian labor force was up by 649,000 over the month to 132.5 million, seasonally adjusted. Adult women accounted for virtually all of this increase. The labor force participation rate rose 0.3 percentage point to 66.7 percent, somewhat less than the levels that prevailed earlier in the year. (See table A-3.)

Persons not in the labor force A total of 1.6 million persons (not seasonally adjusted)

had a marginal attachment to the labor force in July, that is, they wanted and were available for work but had ceased their

active search for jobs after having looked sometime in the prior 12 months. Those who were not looking because they believed that no jobs were available for them—discouraged workers—accounted for 456,000 of the 1.6 million. Both figures were below those of a year earlier. (See table A-34.)

Industry payroll employment Nonfarm payroll employment was about unchanged in

July, after seasonal adjustment, as job gains in several of the service-producing industries were largely offset by a steep decline in manufacturing. (See table B-3.)

The manufacturing job reduction of 85,000 in July added to losses that now total 188,000 since the industry began shedding jobs in April. Over-the-month declines were widespread across both durable and nondurable goods industries. Among durables, the largest decline occurred in transportation equipment, where the decrease of 20,000 reflected temporary shutdowns in the motor vehicle industry and further cutbacks in aircraft manufacturing. Aircraft has lost nearly 40 percent of its employment over the last 5 years. Small job losses continued in July among most other durable goods manufacturers. Among the nondurable goods industries, sizable employment declines continued in apparel, textiles, chemicals, and rubber and plastics. The only manufacturing industry to sustain a trend of job growth was electronics.

Construction employment was unchanged in July, after seasonal adjustment. Job totals in the industry have fluctuated in recent months, and there has been no definitive trend since steady growth tapered off this past spring. Mining employment continued its long-term decline in July.

In the service-producing sector, both wholesale and retail trade added jobs over the month. In wholesale trade, the job gain of 17,000 was in line with the average monthly increase over the past year. Employment in retail trade expanded by 54,000, following a similarly sized gain in June. There had been no net job growth in the industry this year prior to June. Most of the recent strength was in eating and drinking places.

The services industry exhibited modest job growth in July, with a gain of only 60,000. Smaller-than-average increases occurred in business, health, and engineering services, and employment in social services declined for the second straight month. Overall, the pace of job growth in services has clearly slowed in recent months.

5


Weekly hours The average workweek for production or nonsupervisory

workers on private nonfarm payrolls edged up by 0.1 hour in July to 34.6 hours, after seasonal adjustment. Average hours in manufacturing fell by 0.2 hour to 41.3 hours; the series is nearly a full hour below its recent peak. Factory overtime edged up to 4.3 hours, after falling in each of the prior 5 months. (See table B-8.)

The index of aggregate weekly hours of private production or nonsupervisory workers on nonfarm payrolls rose 0.5 percent to 133.0 (1982=100) in July. The manufacturing

index, which has been trending downward since March, declined further in July to 105.3. (See table B-9.)

Hourly and weekly earnings Average hourly earnings of private production or

nonsupervisory workers rose 7 cents in July to $11.49, after seasonal adjustment. Average weekly earnings rose by 0.9 percent to $397.55. Over the past year, average hourly and weekly earnings rose by 3.2 and 2.9 percent, respectively. (See table B-ll.)

Scheduled Release Dates

Eemployment and following dates:

Reference month

August

September

October

unemployment data are scheduled for initial release on the

Release date

September 1

October 6

November 3

Reference month

November

December

January

Release date

December 8

Januarys

February 2


Summary table A. Major labor force status categories, seasonally adjusted (Numbers in thousands)

Category July Aug. Sept. Oct. Nov. Dec. Jan. Feb. Apr. May June July

Labor force status

Civilian noninstitutional population Civilian labor force

Percent of population Employed

Percent of population Unemployed

Not in labor force

All workers Men, 20 years and over Women, 20 years and over Both sexes, 16 to 19 years White Black Hispanic origin

196,859 130,774

66.4 122,781

62.4 7,993

66,085

197,043 131,086

66.5 123,197

62.5 7,889

65,957

197,248 131,291

66.6 123,644

62.7 7,647

65,957

197,430 131,646

66.7 124,141

62.9 7,505

65,784

197,607 131,718

66.7 124,403

63.0 7,315

65,889

197,765 131,725

66.6 124,570

63.0 7,155

66,040

197,753 132,1361

66.8 124,639

63.0 7,498

65,617

197,886 132,308

66.9 125,125

63.2 7,183

65,578

198,007 132,511

66.9 125,274

63.3 7,237

65,496

198,148 132,737

67.0 125,072

63.1 7,665

65,412

198,286 131,811

66.5 124,319

62.7 7,492

66,476

198,453 131,869

66.4 124,485

62.7 7,384

66,583

Unemployment rates

6.1 5.5 5.3 17.7 5.3 11.2 10.0

6.0 5.3 5.3

17.5 5.2

11.3 10.1

5.8 5.1 5.2

17.2 5.1

10.7 9.9

5.7 5.0 5.0

17.1 5.0

11.1 9.4

5.6 4.9 5.0

15.8 4.8

10.5 8.8

5.4 4.7 4.7

17.2 4.8 9.8 9.2

5.7 5.0 4.9

16.7 4.9

10.2 10.2

5.4 4.6 4.8

17.6 4.7

10.1 8.9

5.5 4.7 4.9

16.1 4.7 9.8 9.1

5.8 4.9 5.2

17.5 5.0

10.7 8.8

5.7 5.1 4.8

17.6 5.0 9.9

10.0

5.6 4.8 5.0

16.4 4.8

10.6 9.0

198,615 132,519

66.7 124,959

62.9 7,559

66,096

5.7 4.7 5.1 18.2 4.8 11.1 8.8

Summary table B. Employment, hours, and earnings of production or nonsupervisory workers on nonfarm payrolls, seasonally adjusted

(Numbers in thousands)

Industry

Construction Manufacturing

Service-producing industries Transportation and public utilities Wholesale trade Retail trade Finance, insurance, and real estate Services Government

Total Total private

Mining Construction Manufacturing

Transportation and public utilities Wholesale trade Retail trade Finance, insurance, and real estate Services Government

Total private

Overtime

Total private Manufacturing

Average hourly earnings, total private: Current dollars Constant (1982) dollars2

Average weekly earnings, total private

1994

July Aug. Sept. Oct. Nov. Dec.

1995

Jan. Feb. Mar. Apr. May June" JulyP

Employment

114,171 95,061 23,922

596 5,029

18,297 90,249 6,022 6,138

20,459 6,947

31,573 19,110

114,510 95,327 23,981

597 5,038

18,346 90,529 6,045 6,163

20,497 6,948

31,693 19,183

114,762 95,555 24,030

598 5,077

18,355 90,732 6,048 6,181

20,565 6,942

31,789 19,207

114,935 95,740 24,081

595 5,088

18,398 90,854

6,061 6,195

20,580 6,935

31,888 19,195

115,427 96,152 24,175

592 5,144

18,439 91,252 6,092 6,210

20,703 6,937

32,035 19,275

115,624 96,405 24,230

592 5,166

18,472 91,394

6,121 6,229

20,759 6,931

32,135 19,219

115,810 96,588 24,293

590 5,201

18,502 91,517 6,129 6,251

20,760 6,927

32,228 19,222

116,123 96,882 24,324

588 5,213

18,523 91,799

6,156 6,275

20,794 6,929

32,404 19,241

116,302 97,054 24,370

589 5,256

18,525 91.932

6,175 6,287

20,760 6,938

32,524 19,248

116,310 97,049 24,331

583 5,242

18,506 91,979 6,184 6,300

20,762 6,924

32,548 19,261

116,248 97,005 24,228

582 5,190

18,456 92,020 6,177 6.298

20.747 6,925

32,630 19,243

116,498 97,229 24,235

582 5,231

18,422 92.263

6,189 6,317

20,798 6,934

32,756 19,269

116,553 97,286 24,146

578 5,231

18,337 92,407 6,197 6,334

20,852 6,941

32,816 19,267

Over-the-month change

228 221

17 -6 23

0 211

14 7

51 1

131 7

339 266

59 1 9

49 280

23 25 38

1 120 73

252 228

49 1

39 9

203 3

18 68 -6 96 24

173 185 51 -3 11 43

122 13 14 15 -7 99

-12

492 412

94 -3 56 41

398 31 15

123 2

147 80

197 253

55 0

22 33

142 29 19 56 -6

100 -56

186 183 63 -2 35 30

123 8

22 1

-4 93 3

313 294

31 -2 12 21

282 27 24 34

2 176

19

179 172 46

1 43

2 133

19 12

-34 9

120 7

8 -5

-39 -6

-14 -19 47

9 13 2

-14 24 13

-62 -44

-103 -1

-52 -50 41 -7 -2

-15 1

82 -18

250 224

7 0

41 -34 243

12 19 51 9

126 26

55 57

-89 -4 0

-85 144

8 17 54 7

60 -2

Hours of work1

34.7 42.0

4.7

129.9 106.8

34.6 42.0

4.7

129.9 107.3

34.7 42.1

4.8

130.8 107.5

34.9 42.1

4.7

131.8 107.9

34.6 42.1

4.8

Indexes (

131.5 108.4

34.7 42.1

4.8

34.8 42.2

4.9

34.6 42.1

4.8

jf aggregate weekly hours (19£

132.0 108.6

132.7 108.9

132.4 109.0

34.6 42.0

4.7

J2 = 100)1

132.5 108.6

34.6 41.5 4.5

132.8 107.1

34.2 41.4 4.4

131.0 106.6

34.5 41.5 4.2

132.4 106.6

34.6 41.3 4.3

133.0 105.3

Earnings1

$11.13 7.39

386.21

$11.14 7.37

385.44

$11.18 7.38

387.95

$11.25 7.42

392.63

$11.24 7.40

388.90

$11.27 7.40

391.07

$11.29 7.39

392.89

$11.32 7.39

391.67

$11.34 7.38

392.36

$11.40 7.40

394.44

$11.37 7.36

388.85

$11.42 7.39

393.99

$11.49 N.A.

$397.55

1 Data relate to private production or nonsupervisory workers. 2 The Consumer Price Index for Urban Wage Earners and Clerical Workers (CPI-W)

> used to deflate these series.

N.A. = not available. p = preliminary.


Chart 1. Nonfarm payroll employment, seasonally adjusted, 1990-95

Thousands 118,000

116,000

114,000

112,000

110,000

108,000

Thousands 118,000

116,000

114,000

112,000

110,000

108,000

1990 1991 1992 1993 1994 1995 NOTE: Shaded area represents recession.

Chart 2. Unemployment rate, seasonally adjusted, 1990-95 Percent

8.0

7.0

6.0

5.0

4.0

Percent 8.0

7.0

9W-m

ffltSlil i i I i i I

1990 1991 1992 1993 1994 1995

6.0

5.0

4.0

NOTE: Shaded area represents recession. Household data beginning in January 1994 reflect: 1) The introduction of the results of a major redesign of the Current Population Survey questionnaire and collection methodology, and 2) the introduction of population controls based on the 1990 census, adjusted for the estimated population undercount, and are not directly comparable with data for prior years.


HOUSEHOLD DATA HISTORICAL

A - 1 . Employment status of the civilian noninstitutional population 16 years and over, 1961 to date


Civilian noninstitutional

population

Civilian labor force

Number Percent

of population

Employed

Number Percent

of population

Agriculture Nonagricultural industries

Unemployed

Number Percent

of labor force

Annual averages 118,771 120,153 122,416 124,485 126,513 128,058 129,874 132,028 134,335

137,085 140,216 144,126 147,096 150,120 153,153 156,150 159,033 161,910 164,863

167,745 170,130 172,271 174,215 176,383 178,206 180,587 182,753 184,613 186,393

188,049 189,765 191,576 193,550 196,814

196,859 197,043 197,248 197,430 197,607 197,765

197,753 197,886 198,007 198,148 198,286 198,453 198,615

70,459 70,614 71,833 73,091 74,455 75,770 77,347 78,737 80,734

82,771 84,382 87,034 89,429 91,949 93,775 96,158 99,009 102,251 104,962

106,940 108,670 110,204 111,550 113,544 115,461 117,834 119,865 121,669 123,869

124,787 125,303 126,982 128,040 131,056

59.3 58.8 58.7 58.7 58.9 59.2 59.6 59.6 60.1

60.4 60.2 60.4 60.8 61.3 61.2 61.6 62.3 63.2 63.7

63.8 63.9 64.0 64.0 64.4 64.8 65.3 65.6 65.9 66.5

66.4 66.0 66.3 66.2 66.6

65,746 66,702 67,762 69,305 71,088 72,895 74,372 75,920 77,902

78,678 79,367 82,153 85,064 86,794 85,846 88,752 92,017 96,048 98,824

99,303 100,397 99,526 100,834 105,005 107,150 109,597 112,440 114,968 117,342

117,914 116,877 117,598 119,306 123,060

55.4 55.5 55.4 55.7 56.2 56.9 57.3 57.5 58.0

57.4 56.6 57.0 57.8 57.8 56.1 56.8 57.9 59.3 59.9

59.2 59.0 57.8 57.9 59.5 60.1 60.7 61.5 62.3 63.0

62.7 61.6 61.4 61.6 62.5

5,200 4,944 4,687 4,523 4,361 3,979 3,844 3,817 3,606

3,463 3,394 3,484 3,470 3,515 3,408 3,331 3,283 3,387 3,347

3,364 3,368 3,401 3,383 3,321 3,179 3,163 3,208 3,169 3,199

3,186 3,233 3,207 3,074 3,409

60,546 61,759 63,076 64,782 66,726 68,915 70,527 72,103 74,296

75,215 75,972 78,669 81,594 83,279 82,438 85,421 88,734 92,661 95,477

95,938 97,030 96,125 97,450

101,685 103,971 106,434 109,232 111,800 114,142

114,728 113,644 114,391 116,232 119,651

Monthly data, seasonally adjusted3

130,774 131,086 131,291 131,646 131,718 131,725

132,136 132,308 132,511 132,737 131,811 131,869 132,519

66.4 66.5 66.6 66.7 66.7 66.6

66.8 66.9 66.9 67.0 66.5 66.4 66.7

122,781 123,197 123,644 124,141 124,403 124,570

124,639 125,125 125,274 125,072 124,319 124,485 124,959

62.4 62.5 62.7 62.9 63.0 63.0

63.0 63.2 63.3 63.1 62.7 62.7 62.9

3,333 3,436 3,411 3,494 3,500 3,532

3,575 3,656 3,698 3,594 3,357 3,451 3,409

119,448 119,761 120,233 120,647 120,903 121,038

121,064 121,469 121,576 121,478 120,962 121,034 121,550

4,714 3,911 4,070 3,786 3,366 2,875 2,975 2,817 2,832

4,093 5,016 4,882 4,365 5,156 7,929 7,406 6,991 6,202 6,137

7,637 8,273

10,678 10,717 8,539 8,312 8,237 7,425 6,701 6,528

6,874 8,426 9,384 8,734 7,996

7,993 7,889 7,647 7,505 7,315 7,155

7,498 7,183 7,237 7,665 7,492 7,384 7,559

6.7 5.5 5.7 5.2 4.5 3.8 3.8 3.6 3.5

4.9 5.9 5.6 4.9 5.6 8.5 7.7 7.1 6.1 5.8

7.1 7.6 9.7 9.6 7.5 7.2 7.0 6.2 5.5 5.3

5.5 6.7 7.4 6.8 6.1

6.1 6.0 5.8 5.7 5.6 5.4

5.7 5.4 5.5 5.8 5.7 5.6 5.7

1 Not strictly comparable with prior years. For an explanation, see "Historical Comparability" under the Household Data section of the Explanatory Notes and Estimates of Error.

2 Data, beginning in 1994, are not directly comparable with data for 1993 and earlier years because of the introduction of a major redesign of the Current Population Survey (household survey) questionnaire and

collection methodology and the introduction of 1990 census-based population controls, adjusted for the estimated undercount. For additional information, see "Revisions in the Current Population Survey Effective January 1994" in the February 1994 issue of this publication.

3 The population figures are not adjusted for seasonal variation.

10


HOUSEHOLD DATA HISTORICAL

A-2. Employment status of the civilian noninstitutional population 16 years and over by sex, 1984 to date


Sex, year, and month


population


Number Percent

of population

Employed

Number Percent

of population


Unemployed

Number

Percent of

labor force

MEN 1984 1985 19861

1987 1988 1989

1990 1991 1992 1993 19942

1994: July August September October November December

1995: January February March April May June July

WOMEN 1984 1985 19861

1987 1988 1989

1990 1991 1992 1993 1994a

1994: July August September October .... November December

1995: January February ... March April May June July

83,605 84,469 85,798 86,899 87.857 88,762

89,650 90,552 91,541 92,620 94,355

63,835 64,411 65,422 66,207 66,927 67,840

68,234 68,411 69,184 69,633 70,817

94,377 94,469 94,576 94,671 94,768 94,851

94,749 94,818 94,879 94,952 95,024 95,110 95,191

70,655 70,741 70,791 71,133 71,168 71,379

71,476 71,558 71,673 71,655 71,255 71,345 71,338

92,778 93,736 94,769 95,653 96,756 97,630

98,399 99,214 100,035 100,930 102,460

49,709 51,050 52,413 53,656 54,742 56,030

56,554 56,893 57,798 58,407 60,239

102,482 102,575 102,672 102,758 102,839 102,913

103,004 103,068 103,128 103,197 103,263 103,342 103,424

60,119 60,345 60,500 60,513 60,550 60,346

60,660 60,750 60,838 61,082 60,556 60,524 61,180

Annual averages

76.4 76.3 76.3 76.2 76.2 76.4

76.1 75.5 75.6 75.2 75.1

59,091 59,891 60,892 62,107 63,273 64,315

64,435 63,593 63,805 64,700 66,450

70.7 70.9 71.0 71.5 72.0 72.5

71.9 70.2 69.7 69.9 70.4

2,668 2,535 2,511 2,543 2,493 2,513

2,507 2,552 2,534 2,438 2,554

56,423 57,356 58,381 59,564 60,780 61,802

61,928 61,041 61,270 62,263 63,896


74.9 74.9 74.9 75.1 75.1 75.3

75.4 75.5 75.5 75.5 75.0 75.0 74.9

66,226 66,458 66,682 67,059 67,244 67,483

67,386 67,709 67,811 67,588 67,110 67,390 67,383

70.2 70.3 70.5 70.8 71.0 71.1

71.1 71.4 71.5 71.2 70.6 70.9 70.8

2,507 2,578 2,515 2,584 2,599 2,607

2,648 2,727 2,750 2,622 2,481 2,601 2,569

63,719 63,880 64,167 64,475 64,645 64,876

64,738 64,981 65,062 64,966 64,630 64,789 64,815

Annual averages

53.6 54.5 55.3 56.0 56.6 57.4

57.5 57.3 57.8 57.9 58.8

45.915 47,259 48,706 50,334 51,696 53,027

53,479 53,284 53,793 54,606 56,610

49.5 50.4 51.4 52.5 53.4 54.3

54.3 53.7 53.8 54.1 55.3

653 644 652 666 676 687

679 682 673 636 855

45,262 46,615 48,054 49,668 51,020 52,341

52,800 52,602 53,121 53,970 55,755


58.7 58.8 58.9 58.9 58.9 58.6

58.9 58.9 59.0 59.2 58,6 58.6 59.2

56,555 56,739 56,962 57,082 57,159 57,087

57,252 57,416 57,462 57,484 57,208 57,095 57,576

55.2 55.3 55.5 55.5 55.6 55.5

55.6 55.7 55.7 55.7 55.4 55.2 55.7

826 858 896 910 901 925

927 929 948 972 877 851 840

55,729 55,881 56,066 56,172 56,258 56,162

56,325 56,488 56,514 56,512 56,332 56,245 56,736

4,744 4,521 4,530 4,101 3,655 3,525

3,799 4,817 5,380 4,932 4,367

4,429 4,283 4,109 4,074 3,924 3,896

4,090 3,849 3,862 4,067 4,145 3,955 3,955

3,794 3,791 3,707 3,324 3,046 3,003

3,075 3,609 4,005 3,801 3,629

3,564 3,606 3,538 3,431 3,391 3,259

3,408 3,334 3,375 3,598 3,347 3,429 3,604

7.4 7.0 6.9 6.2 5.5 5.2

5.6 7.0 7.8 7.1 6.2

6.3 6.1 5.8 5.7 5.5 5.5

5.7 5.4 5.4 5.7 5.8 5.5 5.5

7.6 7.4 7.1 6.2 5.6 5.4

5.4 6.3 6.9 6.5 6.0

5.9 6.0 5.8 5.7 5.6 5.4

5.6 5.5 5.5 5.9 5.5 5.7 5.9

1 Not strictly comparable with prior years. For an explanation, see "Historical Comparability" under the Household Data section of the Explanatory Notes and Estimates of Error.

2 Data, beginning in 1994, are not directly comparable with data for 1993 and earlier years because of the introduction of a major redesign of the Current Population Survey

(household survey) questionnaire and collection methodology and the introduction of 1990 census-based population controls, adjusted for the estimated undercount. For additional information, see "Revisions in the Current Population Survey Effective January 1994" in the February 1994 issue of this publication.

3 The population figures are not adjusted for seasonal variation.

11


HOUSEHOLD DATA SEASONALLY ADJUSTED

A-3. Employment status of the civilian noninstitutional population by sex and age, seasonally adjusted


Employment status, sex, and age

1994

July Aug. Sept. Oct. Nov. Dec,

1995

Jan. Feb. Mar. Apr. May June July

TOTAL

Civilian noninstitutional population1 . Civilian labor force


Employment-population ratio ... Unemployed

Unemployment rate

Men, 16 years and over Civilian noninstitutional population1 ....

Civilian labor force Percent of population

Employed Employment-population ratio


Unemployed Unemployment rate

Not in labor force

Men, 20 years and over Civilian noninstitutional population1 ....





Not in labor force

Women, 16 years and over Civilian noninstitutional population1





Not in labor force

Women, 20 years and over Civilian noninstitutional population1





Not in labor force

Both sexes, 16 to 19 years Civilian noninstitutional population1





Not in labor force

196,859 130,774

66.4 122,781

62.4 7,993

6.1

94,377 70,655

74.9 66,226

70.2 2,507

63,719 4,429

6.3 23,722

87,123 66,747

76.6 63,076

72.4 2,314

60,762 3,671

5.5 20,3761

102,482 60,119

58.7 56,555

55.2 826

55,729 3,564

5.9 42,363

95,469 56,536

59.2 53,541

56.1 790

52,751 2,995

5.3 38,933

14,267 7,491

52.5 6,164

43.2 229

5,935 1,327

17.7 6,776

197,043 131,086

66.5 123,197

62.5 7,889

6.0

94,469 70,741

74.9 66,458

70.3 2,578

63,880 4,283

6.1 23,728

87,248 66,817

76.6 63,271

72.5 2,377

60,894 3,546

5.3 20,431

102,575 60,345

58.8 56,739

55.3 858

55,881 3,606

6.0 42,230

95,544 56,747

59.4 53,722

56.2 815

52,907 3,025

5.3 38,797

14,251 7,522

52.8 6,204

43.5 244

5,960 1,318

17.5 6,729

197,248 131,291

66.6 123,644

62.7 7,647

5.8

94,576 70,791

74.9 66,682

70.5 2,515

64,167 4,109

5.8 23,785

87,321 66,909

76.6 63,517

72.7 2,293

61,224 3,392

5.1 20,412

102,672 60,500

58.9 56,962

55.5 896

56,066 3,538

5.8 42,172

95,658 57,031

59.6 54,044

56.5 847

53,197 2,987

5.2 38,627

14,269 7,351

51.5 6,083

42.6 271

5,812 1,268

17.2 6,918

197,430 131,646

66.7 124,141

62.9 7,505

5.7

94,671 71,133

75.1 67,059

70.8 2,584

64,475 4,074

5.7 23,538

87,439 67,177

76.8 63,820

73.0 2,329

61,491 3,357

5.0 20,262

102,758 60,513

58.9 57,082

55.5 910

56,172 3,431

5.7 42,245

95,729 56,951

59.5 54,090

56.5 863

53,227 2,861

5.0 38,778

14,261 7,518

52.7 6,231

43.7 302

5,929 1,287

17.1 6,743

197,607 131,718

66.7 124,403

63.0 7,315

5.6

94,768 71,168

75.1 67,244

71.0 2,599

64,645 3,924

5.5 23,600

87,529 67,345

76.9 64,051

73.2 2,377

61,674 3,294

4.9 20,184

102,839 60,550

58.9 57,159

55.6 901

56,258 3,391

5.6 42,289

95,821 56,984

59.5 54,129

56.5 850

53,279 2,855

5.0 38,837

14,257 7,389

51.8 6,223

43.6 . 273

5,950 1,166

15.8 6,868

197,765 131,725

66.6 124,570

63.0 7,155

5.4

94,851 71,379

75.3 67,483

71.1 2,607

64,876 3,896

5.5 23,472

87,617 67,450

77.0 64,281

73.4 2,410

61,871 3,169

4.7 20,167

102,913 60,346

58.6 57,087

55.5 925

56,162 3,259

5.4 42,567

95,873 56,725

59.2 54,037

56.4 882

53,155 2,688

4.7 39,148

14,274 7,550

52.9 6,252

43.8 240

6,012 1,298

17.2 6,724

197,753 132,136

66.8 124,639

63.0 7,498

5.7

94,749 71,476

75.4 67,386

71.1 2,648

64,738 4,090

5.7 23,273

87,528 67,539

77.2 64,133

73.3 2,390

61,743 3,406

5.0 19,990

103,004 60,660

58.9 57,252

55.6 927

56,325 3,408

5.6 42,344

95,961 56,951

59.3 54,134

56.4 877

53,257 2,817

4.9 39,010

14,263 7,646

53.6 6,372

44.7 308

6,064 1,274

16.7 6,617

197,886 132,308

66.9 125,125

63.2 7,183

5.4

94,818 71,558

75.5 67,709

71.4 2,727

64,981 3,849

5.4 23,260

87,572 67,552

77.1 64,478

73.6 2,512

61,965 3,074

4.6 20,020

03,068 60,750

58.9 57,416

55.7 929

56,488 3,334

5.5 42,318

96,020 57,096

59.5 54,334

56.6 898

53,436 2,763

4.8 38,924

14,294 7,660

53.6 6,313

44.2 245

6,068 1,347

17.6 6,634

198,007 132,511

66.9 125,274

63.3 7,237

5.5

94,879 71,673

75.5 67,811

71.5 2,750

65,062 3,862

5.4 23,206

87,622 67,643

77.2 64,465

73.6 2,519

61,946 3,178

4.7 19,979

103,128 60,838

59.0 57,462

55.7 948

56,514 3,375

5.5 42,290

96,037 57,042

59.4 54,242

56.5 913

53,329 2,800

4.9 38,996

14,348 7,826

54.5 6,567

45.8 266

6,300 1,260

16.1 6,522

198,148 132,737

67.0 125,072

63.1 7,665

5.8

94,952 71,655

75.5 67,588

71.2 2,622

64,966 4,067

5.7 23,297

87,664 67,563

77.1 64,224

73.3 2,384

61,840 3,339

4.9 20,101

103,197 61,082

59.2 57,484

55.7 972

56,512 3,598

5.9 42,115

96,099 57,360

59.7 54,403

56.6 925

53,477 2,957

5.2 38,739

14,385 7,814

54.3 6,446

44.8 285

6,160 1,369

17.5 6,571

198,286 131,811

66.5 124,319

62.7 7,492

5.7

95,024 71,255

75.0 67,110

70.6 2,481

64,630 4,145

5.8 23,769

87,691 67,250

76.7 63,841

72.8 2,242

61,599 3,410

5.1 20,441

103,263 60,556

58.6 57,208

55.4 877

56,332 3,347

5.5 42,707

96,141 56,819

59.1 54,097

56.3 828

53,268 2,722

4.8 39,322

14,454 7,742

53.6 6,381

44.1 287

6,094 1,360

17.6 6,712

198,453 131,869

66.4 124,485

62.7 7,384

5.6

95,110 71,345

75.0 67,390

70.9 2,601

64,789 3,955

5.5 23,765

87,750 67,232

76.6 63,994

72.9 2,344

61,649 3,238

4.8 20,518

103,342 60,524

58.6 57,095

55.2 851

56,245 3,429

5.7 42,818

96,204 56,773

59.0 53,915

56.0 791

53,124 2,857

5.0 39,431

14,498 7,864

54.2 6,576

45.4 316

6,261 1,288

16.4 6,634

1 The population figures are not adjusted for seasonal variation. NOTE: Detail for the seasonally adjusted data shown in tables A-3

through A-12 will not necessarily add to totals because of the independent seasonal adjustment of the various series.

12



A-4. Employment status of the civilian noninstitutional population by race, sex, age, and Hispanic origin, seasonally adjusted


Employment status, race, sex, age, and

Hispanic origin

1994


1995


WHITE

Civilian noninstitutional population1




Men, 20 years and over




Women, 20 years and over




Both sexes, 16 to 19 years




Men Women

BLACK













See footnotes at end of table.

165,576 110,911

67.0 105,006

63.4 5,905

5.3

57,326 77.1

54,566 73.4

2,760 4.8

47,227 59.0

45,016 56.3

2,211 4.7

6,358 56.3

5,424 48.1 934 14.7 16.1 13.1

22,883 14,380

62.8 12,767

55.8 1,613

11.2

6,561 71.7

5,880 64.2 681 10.4

6,954 60.5

6,345 55.2 609 8.8

165,696 111,186

67.1 105,401

63.6 5,785

5.2

57,387 77.2

54,734 73.6

2,653 4.6

47,403 59.2

45,204 56.5

2,199 4.6

6,396 56.6

5,463 48.4 933 14.6 15.4 13.7

22,917 14,429

63.0 12,795

55.8 1,634

11.3

6,570 71.5

5,898 64.2 672 10.2

7,012 60.9

6,356 55.2 656 9.4

165,832 111,381

67.2 105,740

63.8 5,641

5.1

57,478 77.2

54,926 73.8

2,552 4.4

47,737 59.6

45,560 56.9

2,177 4.6

6,166 54.6

5,254 46.5 912 14.8 16.2 13.3

22,955 14,477

63.1 12,927

56.3 1,550

10.7

6,637 72.1

5,989 65.1 648 9.8

7,001 60.7

6,368 55.2 633 9.0

165,954 111,555

67.2 106,010

63.9 5,545

5.0

57,615 77.3

55,061 73.9

2,554 4.4

47,614 59.4

45,535 56.8

2,079 4.4

6,326 56.0

5,414 47.9 912 14.4 15.2 13.5

22,990 14,649

63.7 13,022

56.6 1,627

11.1

6,706 72.7

6,069 65.8 637 9.5

7,033 60.9

6,384 55.3 649 9.2

166,072 111,637

67.2 106,242

64.0 5,395

4.8

57,726 77.4

55,242 74.1

2,484 4.3

47,631 59.4

45,569 56.8

2,062 4.3

6,280 55.5

5,431 48.0 849 13.5 14.3 12.6

23,023 14,578

63.3 13,054

56.7 1,524

10.5

6,702 72.6

6,085 65.9 617 9.2

7,012 60.7

6,390 55.3 622 8.9

166,175 111,715

67.2 106,352

64.0 5,363

4.8

57,836 77.5

55,384 74.2

2,452 4.2

47,440 59.1

45,475 56.7

1,965 4.1

6,439 56.9

5,493 48.5 946 14.7 16.0 13.2

23,052 14,541

63.1 13,119

56.9 1,422

9.8

6,722 72.7

6,165 66.7 557 8.3

7,002 60.5

6,420 55.5 582 8.3

166,361 111,876|

67.2 106,366

63.9 5,510

4.9

57,848 77.5

55,289 74.1

2,559 4.4

47,443 59.0

45,419 56.5

2,024 4.3

6,586 58.1

5,658 49.9 928 14.1 15.0 13.1

23,089 14,697

63.7 13,192

57.1 1,505 10.2

6,796 73.6

6,172 66.8 624 9.2

7,127 61.4

6,521 56.2 606 8.5

166,444 111,830

67.2 106,604

64.0 5,226

4.7

57,841 77.5

55,508 74.3

2,333 4.0

47,525 59.1

45,581 56.7

1,944 4.1

6,464 56.9

5,515 48.5 949 14.7 16.1 13.1

23,117 14,868

64.3 13,362

57.8 1,505

10.1

6,812 73.7

6,272 67.8 540 7.9

7,169 61.7

6,520 56.1 648 9.0

166,521 111,999

67.3 106,698

64.1 5,301

4.7

57,868 77.5

55,448 74.2

2,420 4.2

47,494 59.1

45,515 56.6

1,978 4.2

6,637 58.3

5,734 50.4 903 13.6 14.7 12.4

23,142 14,818

64.0 13,370

57.8 1,448

9.8

6,828 73.8

6,297 68.0 531 7.8

7,131 61.3

6,482 55.7 649 9.1

166,613 112,153

67.3 106,500

63.9 5,653

5.0

57,768 77.3

55,225 73.9

2,544 4.4

47,765 59.4

45,622 56.7

2,143 4.5

6,619 58.0

5,653 49.5 966 14.6 15.3 13.8

23,169 14,938

64.5 13,337

57.6 1,601

10.7

6,826 73.7

6,221 67.1 605 8.9

7,205 61.9

6,532 56.1 673 9.3

166,708 111,568

66.9 105,935

63.5 5,633

5.0

57,594 77.0

54,956 73.5

2,638 4.6

47,432 58.9

45,403 56.4

2,028 4.3

6,542 57.2

5,575 48.8 967 14.8 15.2 14.3

23,192 14,803

63.8 13,336

57.5 1,467

9.9

6,749 73.0

6,158 66.6 591 8.8

7,153 61.4

6,593 56.6 559 7.8

166,822 111,541

66.9 106,145

63.6 5,396

4.8

57,592 77.0

55,133 73.7

2,459 4.3

47,275 58.7

45,215 56.1

2,060 4.4

6,674 58.3

5,797 50.6 877 13.1 14.5 11.6

23,221 14,707

63.3 13,142

56.6 1,565

10.6

6,721 72.5

6,117 66.0 604 9.0

7,067 60.6

6,453 55.3 614 8.7

166,931 112,197

67.2 106,770

64.0 5,427

4.8

13



A-4. Employment status of the civilian noninstitutlonal population by race, sex, age, and Hispanic origin, seasonally adjusted—Continued


Employment status, race, sex, age, and

Hispanic origin

BLACK—Continued Both sexes, 16 to 19 years




Men Women

HISPANIC ORIGIN





1994


1995


865 38.7 542 24.3 323 37.3 41.4 32.7

18,143 11,956

65.9 10,760

59.3 1,196

10.0

847 38.3 541 24.5 306 36.1 39.9 31.9

18,193 12,002

66.0 10,786

59.3 1,216 10.1

839! 37.8 570 25.7 269 32.1 30.8 33.4

18,244 11,997

65.8 10,806

59.2 1,191

9.9

910 40.9 569 25.6 341 37.5 35.9 39.1

18,291 12,222

66.8 11,074

60.5 1,148

9.4

864 38.8 579 26.0 285 33.0 32.0 34.1

18,339 12,324

67.2 11,236

61.3 1,088

8.8

817 36.6 534 23.9 283 34.6 34.3 35.0

18,385 12,224

66.5 11,105

60.4 1,119

9.2

773 34.6 499 22.3 275 35.5 34.0 37.1

18,368 12,036

65.5 10,811

58.9 1,224 10.2

887 39.5 570 25.4 317 35.7 38.7 32.4

18,413 12,017

65.3 10,943

59.4 1,073

8.9

859 38.2 591 26.3 268 31.2 31.7 30.7

18,458 12,001

65.0 10,903

59.1 1,098

9.1

907 40.2 584 25.9 323 35.6 35.4 35.8

18,509 12,131

65.5 11,058

59.7 1,073

8.8

901 39.4 585 25.6 317 35.1 40.0 30.5

18,554 12,111

65.3 10,895

58.7 1,216 10.0

918 40.4 571 25.1 347 37.8 38.7 36.8

18,604 12,229

65.7 11,131

59.8 1,098

9.0

1 The population figures are not adjusted for seasonal variation. NOTE: Detail for the above race and Hispanic-origin groups will not sum

to totals because data for the "other races" group are not presented and Hispanics are included in both the white and black population groups.

14



A-5. Employed and unemployed full- and part-time workers by sex and age, seasonally adjusted


Full- and part-time status, sex, and age

1994


1995


EMPLOYED

Full-time workers Men, 16 years and over Men, 20 years and over Women, 16 years and over Women, 20 years and over Both sexes, 16 to 19 years

Part-time workers Men, 16 years and over Men, 20 years and over Women, 16 years and over Women, 20 years and over Both sexes, 16 to 19 years

UNEMPLOYED

Looking for full-time work Men, 16 years and over Men, 20 years and over Women, 16 years and over Women, 20 years and over Both sexes, 16 to 19 years

Looking for part-time work Men, 16 years and over Men, 20 years and over Women, 16 years and over Women, 20 years and over Both sexes, 16 to 19 years

UNEMPLOYMENT RATES1

Full-time workers Men, 16 years and over Men, 20 years and over Women, 16 years and over Women, 20 years and over Both sexes, 16 to 19 years

Part-time workers Men, 16 years and over Men, 20 years and over Women, 16 years and over Women, 20 years and over Both sexes, 16 to 19 years

99,781 58,808 57,600 41,035 40,300

1,881

22,967 7,396 5,432

15,538 13,241

4,294

6,521 3,776 3,392 2,730 2,456

673

1,477 621 285 845 541 651

6.1 6.0 5.6 6.2 5.7

26.4

6.0 7.7 5.0 5.2 3.9 13.2

100,240 59,054 57,864 41,236 40,484 1,892

22,957 7,431 5,421 15,532 13,247 4,289

6,378 3,701 3,269 2,718 2,463 646

1,519 628 283 909 562 674

6.0 5.9 5.3 6.2 5.7

25.5

6.2 7.8 5.0 5.5 4.1

13.6

100,703 59,175 58,061 41,566 40,822

1,820

23,106 7,560 5,542

15,461 13,289 4,275

6,257 3,613 3,150 2,744 2,474

633

1,411 593 254 814 523 634

5.8 5.8 5.1 6.2 5.7

25.8

5.8 7.3 4.4 5.0 3.8

12.9

100,913 59,501 58,332 41,425 40,687

1,894

23,243 7,617 5,534

15,683 13,421 4,288

6,168 3,562 3,146 2,642 2,391

631

1,380 590 221 823 499 660

5.8 5.6 5.1 6.0 5.6

25.0

5.6 7.2 3.8 5.0 3.6 13.3

101,030 59,677 58,524 41,355 40,593 1,913

23,495 7,677 5,620 15,830 13,575 4,300

5,987 3,458 3,031 2,591 2,345 611

1,342 563 271 828 509 562

5.6 5.5 4.9 5.9 5.5

24.2

5.4 6.8 4.6 5.0 3.6 11.6

101,213 60,032 58,841 41,152 40,409 1,963

23,447 7,592 5,579 15,878 13,583 4,285

5,677 3,311 2,933 2,417 2,103 641

1,478 608 273 836 540 [ 665

5.3 5.2 4.7 5.5 4.9

24.6

5.9 7.4 4.7 5.0 3.8

13.4

101,099 59,833 58,632 41,281 40,538 1,929

23,544 7,604 5,538

15,937 13,566 4,440

5,938 3,270 3,066 2,538 2,290 582

1,548 649 298 878 553 697

5.5 5.2 5.0 5.8 5.3

23.2

6.2 7.9 5.1 5.2 3.9

13.6

101,321 60,065 58,832 41,227 40,528

1,961

23,553 7,527 5,499

16,068 13,670 4,384

5,658 3,035 2,845 2,416 2,175

638

1,507 585 214 903 587 706

5.3 4.8 4.6 5.5 5.1

24.5

6.0 7.2 3.8 5.3 4.1 13.9

101,735 60,103 58,898 41,486 40,760 2,077

23,518 7,521 5,486 15,933 13,480 4,552

5,805 3,236 2,952 2,443 2,252 601

1,443 512 225 902 557 661

5.4 5.1 4.8 5.6 5.2

22.4

5.8 6.4 3.9 5.4 4.0 12.7

101,644 59,870 58,674 41,666 40,914 2,057

23,370 7,630 5,462 15,808 13,491 4,418

6,068 3,381 3,036 2,672 2,399 633

1,570 656 294 902 550 725

5.6 5.3 4.9 6.0 5.5

23.5

6.3 7.9 5.1 5.4 3.9

14.1

101,151 59,640 58,432 41,508 40,665

2,054

23,185 7,385 5,308

15,798 13,513

4,364

5,972 3,600 3,148 2,469 2,188

636

1,516 618 268 886 535 714

5.6 5.7 5.1 5.6 5.1

23.6

6.1 7.7 4.8 5.3 3.8 14.1

101,424 59,976 58,681 41,572 40,661 2,082

22,875 7,368 5,221 15,510 13,188 4,466

5,851 3,441 2,975 2,473 2,256 621

1,534 602 262 952 607 665

5.5 5.4 4.8 5.6 5.3

23.0

6.3 7.6 4.8 5.8 4.4 13.0

1 These rates reflect a refined definition of the full- and part-time labor force and differ from the rates published elsewhere in this publication

prior to 1994.

15



A-6. Employed persons by marital status, occupation, class of worker, and part-time status, seasonally adjusted

(In thousands)

Category 1994


1995


MARITAL STATUS

Total Married men, spouse present Married women, spouse present Women who maintain families

OCCUPATION

Managerial and professional specialty Technical, sales, and administrative support

Service occupations Precision production, craft, and repair Operators, fabricators, and laborers Farming, forestry, and fishing

CLASS OF WORKER

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

Nonagricultural industries: Wage and salary workers Private industries

Private households Other industries

Government Self-employed workers Unpaid family workers

PERSONS AT WORK PART TIME

All industries: Part time for economic reasons Slack work or business conditions Could only find part-time work

Part time for noneconomic reasons

Nonagricultural industries: Part time for economic reasons Slack work or business conditions Could only find part-time work

Part time for noneconomic reasons

122,781 41,281 31,462

7,016

33,893

37,239 16,924 13,408 17,839 3,535

1,669 1,619

50

110,345 92,064

940 91,124 18,281 8,962

140

4,467 2,431 1,698

17,922

4,273 2,318 1,661

17,308

123,197 41,487 31,593 6,974

33,975

37,373 16,866 13,454 17,975 3,642

1,728 1,654

50

110,576 92,351

881 91,470 18,225

9,021 131

4,348 2,396 1,618

17,955

4,173 2,272 1,583

17,314

123,644 41,557 31,905 7,029

34,242

37,635 16,749 13,452 18,023 3,632

1,712 1,630

63

111,100 92,794

903 91,891 18,306 8,989

134

4,333 2,404 1,697

17,609

4,154 2,290 1,646

16,982

124,141 41,511 31,764

7,098

34,275

37,669 17,062 13,467 18,122 3,655

1,764 1,652

43

111,686 93,485

935 92,550 18,201 8,878

131

4,411 2,394 1,791

17,644

4,226 2,257 1,756

16,992

124,403 41,530 31,775

7,141

34,382

37,767 16,893 13,615 18,056 3,727

1,767 1,677

48

111,770 93,413

999 92,414 18,357

8,915 120

4,411 2,394 1,736

17,756

4,246 2,282 1,689

17,101

124,570 41,608 31,723

7,074

34,576

37,797 16,704 13,677 18,030 3,839

1,738 1,714

49

111,960 93,620

1,023 92,597 18,340 8,959

121

4,422 2,384 1,734

17,576

4,254 2,272 1,690

16,917

124,639 41,601 31,705

7,199

34,423

37,267 17,012 13,784 18,212 3,881

1,866 1,663

35

111,987 93,692

1,075 92,617 18,295 9,039

95

4,693 2,504 1,777

17,940

4,430 2,359 1,737

17,307

125,125 42,190 31,893

7,067

34,905

37,313 16,991 13,638 18,333 3,845

112, 93

1 92, 18 8

,970 ,684

27

,461 ,957 ,075 ,882 ,504 ,904 118

4,460 2,372 1,739

18,041

4,187 2,216 1,687

17,381

125,274 42,132 32,135

7,071

34,846

37,297 16,997 13,910 18,280 3,849

1,987 1,674

57

112,649 93,964

1,039 92,925 18,685 8,865

129

4,530 2,333 1,902

17,627

4,347 2,226 1,854

16,991

125,072 42,086 32,108

7,152

34,765

37,381 17,075 13,680 18,260 3,726

1,884 1,649

70

112,578 93,932

988 92,945 18,646 8,848

110

4,469 2,517 1,686

18,121

4,171 2,328 1,624

17,232

124,319 41,874 32,022

7,175

35,209

37,301 16,987 13,479 17,985 3,568

1,747 1,560

55

112,111 93,619

913 92,705 18,493 8,763

125

4,476 2,502 1,720

17,666

4,289 2,364 1,698

17,034

124,485 41,956 31,918

7,201

35,300

37,374 16,794 13,459 17,936 3,550

1,848 1,593

46

112,160 93,773

866 92,907 18,387 8,765

106

4,442 2,304 1,785

17,745

4,185 2,158 1,747

17,056

1 Persons at work excludes employed persons who were absent from their jobs during the entire reference week for reasons such as vacation, illness, or industrial dispute. Part time for noneconomic reasons excludes persons who

usually work full time but worked only 1 to 34 hours during the reference week for reasons such as holidays, illness, and bad weather.

16



A-7. Employed persons by age and sex, seasonally adjusted

(In thousands)

Age and sex 1994


1995

Jan. Feb. Mar. Apr. May June | July

Total, 16 years and over ....

16 to 24 years 16 to 19 years


20 to 24 years 25 years and over












122,781

18,842 6,164 2,5141 3,656

12,678 103,908 89,041 14,808

66,226

9,857 3,150 1,294 1,867 6,707

56,348 48,108

8,162

56,555

8,985 3,014 1,220 1,789 5,971

47,560 40,933

6,6461

123,197

18,951 6,204 2,566 3,657

12,747 104,262 89,408 14,912

66,458

9,955 3,187 1,301 1,903 6,768

56,526 48,268

8,249

56,739

8,996 3,017 1,265 1,754] 5,979

47,736 41,140

6,663

123,644

18,872 6,083 2,550 3,551

12,789 104,814 89,869 14,956

66,682

9,985] 3,165 1,335 1,837 6,820

56,691 48,468

8,278 [

56,962

8,887 2,918 1,215 1,714 5,969

48,123 41,401

6,678

124,141

19,102 6,231 2,636 3,569

12,871 105,031 90,029] 15,020

67,059

10,110] 3,239 1,390 1,834 6,871

56,969] 48,6471

8,332

57,082

8,992 2,992 1,246 1,735 6,000

48,062 41,382

6,688

124,403

19,053 6,223 2,601 3,612

12,830 105,340 90,348 15,111

67,244

10,052 3,193 1,369 1,821 6,859

57,187 48,857

8,402

57,159

9,001 3,030 1,232 1,791 5,971

48,153 41,491

6,709

124,570

19,157 6,252 2,588 3,653

12,905 105,434

90,380 15,083

67,483

10,115 3,202 1,350 1,845 6,913

57,388 48,945

8,435

57,087

9,042 3,050 1,238 1,808 5,992

48,046 41,435

6,648

124,639

19,174 6,372 2,533 3,809

12,803 105,471 90,331 15,109

67,386

10,024] 3,254 1,283 1,9461 6,771

57.339I 48,926

8,429]

57,252

9,150 3,118 1,250 1,863 6,032

48,131 41,405

6,680

125,125

19,062 6,313 2,532 3,769

12,749 106,039 90,850 15,084

67,709

10,113 3,231 1,287 1,934 6,881

57,661 49,238

8,352

57,416

8,950 3,082 1,246 1,836 5,868

48,378 41,613

6,732

125,274

19,226 6,567 2,595 3,9551

12,660 106,123 90,964 15,102

67,811

10,172 3,346 1,315 2,017 6,826

57,662 49,270

8,411

57,462

054 220 281 937 833 ,461 694 691

125,072

19,126 6,446 2,556i 3,886

12,680 105,939 90,777 15,057

67,588

10,155 3,364 1,318 2,043 6,791

57,441 49,023

8,366

57,484

8,971 3,082 1,238 1,843 5,890

48,497 41,753

6,691

124,319

18,889 6,381 2,518 3,882

12,508 105,429 90,597 14,881

67,110

9,984] 3,270 1,264 2,015 6,714

57,110| 48,882

8,212 [

57,208

8,906 3,112 1,254 1,867 5,794

48,319 41,715

6,669

124,485

19,053 6,576] 2,758 3,841 12,477

105,367 90,592 14,824

A-8. Unemployed persons by age and sex, seasonally adjusted

(In thousands)

Age and sex 1994


1995


Total, 16 years and over ...















7,993

2,696 1,327 642 679

1,369] 5,278 4,629 646

4,429

1,529 758 342 409 771

2,880 2,488 389

3,564

1,167 569 300 270 598

2,398 2,141 257

7,889

2,720 1,318 636 678

1,4021 5,197 4,538 6461

4,283

1,529 737 340 392 792

2,782 2,408 363

3,606

1,191 581 296 286 610

2,415 2,130 283

7,647

2,5 1,268 592 674

1,330 5,084 4,528 583

4,109|

1,437 717 322 390 720

2,6961 2,359 336]

3,538

1,161 551 270 284 610

2,388 2,169] 247

7,505

2,564 1,287 572 721

1,277 4,992 4,435 610

4,074

1,431 717 309 406 714

2,682 2,343 352

3,431

1,133 570 263 315 563

2,310 2,092 258

7,315

2,450 1,166 539 624

1,284 4,926 4,297 615

3,924

1,346 630 271 361 716]

2,626' 2,249 349

3,391

1,104 536 268 263 568

2,300 2,048 266

7,155

2,513 1,298 573 728

1,215 4,717 4,130 539

3,896

1,411 727 313 411 684

2,551 2,217 306

3,259

1,102 571 260 317 531

2,166 1,913

233

7,498

2,464 1,274

633 629

1,190 4,971 4,365

606

4,0901

1,366 684 338 329 682

2,672 2,352

347

3,408

1,098 591 294 300 508

2,299 2,014 259

7,183

2,525 1,347 662 680

1,178 4,603 4,082 532

3,849

1,391 775 376] 388 616

2,420 2,136] 309

3,334

1,133 571 286 292 562

2,183 1,946

223

7,237

2,531 1,260

649 591

1,272 4,653 4,101

555

3,862

1,350 684 334 344 665

2,480] 2,187

319

3,375

1,182 575 315 247 606

2,174 1,914j 236

7,665

2,571 1,369 663 724

1,202 5,059 4,485 599

4,067

1,365 728 365 393 637

2,676 2,308 372

3,598

1,206 641 298 331 566

2,383 2,177 227

7,492

2,539 1,360 689 667

1,179 4,972 4,394 594

4,145

1,394 735 369 363 659

2,758 2,405 346

3,347

1,145 625 320 305 520

2,214 1,989| 248

17



A-9. Unemployment rates by age and sex, seasonally adjusted

Age and sex 1994 1995

July Aug. Sept. Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June

Total, 16 years and over ....















6.1

12.5 17.7 20.3 15.7 9.7 4.8 4.9 4.2

6.3

13.4 19.4 20.9 18.0 10.3 4.9 4.9 4.5

5.9

11.5 15.9 19.7 13.1

9.1 4.8 5.0 3.7

6.0

12.6 17.5 19.9 15.6 9.9 4.7 4.8 4.2

6.1

13.3 18.8 20.7 17.1 10.5 4.7 4.8 4.2

6.0

11.7 16.1 19.0 14.0

9.3 4.8 4.9 4.1

5.8

12.1 17.2 18.8 16.0

9.4 4.6 4.8 3.8

5.8

12.6 18.5 19.4 17.5

9.5 4.5 4.6 3.9

5.8

11.6 15.9 18.2 14.2

9.3 4.7 5.0 3.6

5.7

11.8 17.1 17.8 16.8 9.0 4.5 4.7 3.9

5.7

12.4 18.1 18.2 18.1

9.4 4.5 4.6 4.1

5.7

11.2 16.0 17.4 15.4 8.6 4.6 4.8 3.7

5.6

11.4 15.8 17.2 14.7 9.1 4.5 4.5 3.9

5.5

11.8 16.5 16.5 16.5 9.5 4.4 4.4 4.0

5.6

10.9 15.0 17.9 12.8 8.7 4.6 4.7 3.8

5.4

11.6 17.2 18.1 16.6 8.6 4.3 4.4 3.5

5.5

12.2 18.5 18.8 18.2

9.0 4.3 4.3 3.5

5.4

10.9 15.8 17.4 14.9

8.1 4.3 4.4 3.4

5.7

11.4 16.7 20.0 14.2 8.5 4.5 4.6 3.9

5.7

12.0 17.4 20.9 14.5 9.1 4.5 4.6 4.0

5.6

10.7 15.9 19.1 13.9 7.8 4.6 4.6 3.7

5.4

11.7 17.6 20.7 15.3 8.5 4.2 4.3 3.4

5.4

12.1 19.4 22.6 16.7

8.2 4.0 4.2 3.6

5.5

11.2 15.6 18.7 13.7 8.7 4.3 4.5 3.2

5.5

11.6 16.1 20.0 13.0 9.1 4.2 4.3 3.5

5.4

11.7 17.0 20.2 14.6 8.9 4.1 4.2 3.7

5.5

11.5 15.2 19.8 11.3 9.4 4.3 4.4 3.4

5.8

11.8 17.5 20.6 15.7 8.7 4.6 4.7 3.8

5.7

11.8 17.8 21.7 16.1 8.6 4.5 4.5 4.3

5.9

11.9 17.2 19.4 15.2

8.8 4.7 5.0 3.3

5.7

11.8 17.6 21.5 14.7 8.6 4.5 4.6 3.8

5.8

12.3 18.4 22.6 15.2 8.9 4.6 4.7 4.0

5.5

11.4 16.7 20.4 14.0 8.2 4.4 4.6 3.6

5.6

11.7 16.4 18.5 15.2 9.0 4.4 4.5 3.8

5.5

12.0 17.4 18.4 17.4

9.0 4.3 4.3 3.9

5.7

11.3 15.2 18.6 12.8 9.0 4.5 4.7 3.7

18



A-10. Unemployment rates by occupation, industry, and selected demographic characteristics, seasonally adjusted

Category

CHARACTERISTIC

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

White Black and other Black Hispanic origin

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

OCCUPATION1

Managerial and professional specialty Technical, sales, and administrative support Precision production, craft, and repair Operators, fabricators, and laborers Farming, forestry, and fishing

INDUSTRY

Nonagricultural private wage and salary workers Goods-producing industries


Durable goods Nondurable goods

Service-producing industries Transportation and public utilities Wholesale and retail trade Finance, insurance, and real estate Services

Government workers Agricultural wage and salary workers

1994

July

6.1 5.5 5.3

17.7

5.3 10.3 11.2 10.0

3.6 4.0 7.9

2.7 4.8 5.9 9.3 9.4

6.3 6.8 6.0

11.1 5.6 5.5 5.8 6.1 5.1 7.5 3.7 5.9 3.4

12.1

Aug.

6.0 5.3 5.3

17.5

5.2 10.6 11.3 10.1

3.5 4.1 8.8

2.6 4.9 6.1 8.8 8.6

6.1 6.5 5.0

10.7 5.3 5.3 5.3 6.0 4.8 7.4 3.7 5.7 3.6

11.1

Sept.

5.8 5.1 5.2

17.2

5.1 10.2 10.7 9.9

3.4 4.0 8.9

2.5 4.7 6.0 8.4 8.2

6.0 6.5 5.1

10.7 5.3 5.3 5.4 5.8 4.5 7.0 4.3 5.5 3.2

11.1

Oct,

5.7 5.0 5.0

17.1

5.0 10.4 11.1 9.4

3.3 4.0 8.9

2.5 4.5 5.8 8.5 8.4

5.9 6.4 4.7

10.7 5.1 4.8 5.6 5.7 4.4 7.2 3.4 5.3 3.2

10.3

Nov.

5.6 4.9 5.0

15.8

4.8 9.8

10.5 8.8

3.2 3.9 8.7

2.4 4.6 5.6 8.3 7.5

5.9 6.3 4.5

10.7 5.1 4.3 6.0 5.7 4.6 7.0 3.6 5.4 2.7

10.4

Dec.

5.4 4.7 4.7

17.2

4.8 9.2 9.8 9.2

3.2 3.7 8.8

2.3 4.3 5.7 8.2 7.8

5.6 6.2 3.9

10.9 4.9 4.6 5.4 5.4 4.2 6.7 2.9 5.2 3.1

11.1

1995

Jan.

5.7 5.0 4.9

16.7

4.9 9.5

10.2 10.2

3.4 3.7 8.9

2.3 4.6 5.8 8.2 7.8

5.7 6.4 5.1

11.7 4.7 4.2 5.4 5.4 4.7 6.6 2.9 5.2 3.2

10.7

Feb.

5.4 4.6 4.8

17.6

4.7 9.4

10.1 8.9

3.0 3.6 8.1

2.2 4.4 5.4 7.6 7.2

5.5 5.8 5.2

10.5 4.4 3.9 5.0 5.4 4.5 6.4 3.5 5.2 2.8 9.1

Mar.

5.5 4.7 4.9

16.1

4.7 9.2 9.8 9.1

3.2 3.9 7.6

2.5 4.3 5.2 7.5 8.0

5.5 6.0 6.1

10.8 4.5 4.2 4.9 5.4 4.5 6.2 3.3 5.3 2.7

10.5

Apr.

5.8 4.9 5.2

17.5

5.0 9.8

10.7 8.8

3.4 4.2 9.0

2.5 4.8 6.0 7.9 8.5

5.9 6.4 4.3

11.8 4.8 4.4 5.4 5.7 4.6 6.8 3.4 5.6 3.1

11.3

May

5.7 5.1 4.8

17.6

5.0 9.1 9.9

10.0

3.4 3.9 8.0

2.2 4.6 6.2 8.7 9.2

6.0 7.2 4.9

12.6 5.5 5.3 6.0 5.6 4.0 6.7 3.7 5.5 2.8

12.5

June

5.6 4.8 5.0

16.4

4.8 9.8

10.6 9.0

3.4 3.8 8.4

2.5 4.5 5.8 8.5 8.6

5.7 6.4 4.4

10.6 5.2 4.2 6.6 5.4 4.5 6.2 3.3 5.5 3.2

11.9

July

5.7 4.7 5.1

18.2

4.8 10.1 11.1 8.8

3.4 4.1 8.5

2.6 4.4 6.6 8.4 7.6

5.9 6.5 3.4

10.9 5.2 4.8 5.8 5.7 4.7 6.6 3.5 5.8 2.8 9.7

1 Seasonally adjusted data for service occupations are not available because the seasonal component, which is small relative to the trend-cycle

and irregular components, cannot be separated with sufficient precision.

19



A-11. Unemployed persons by reason for unemployment, seasonally adjusted


Reasons for unemployment 1994


1995


NUMBER OF UNEMPLOYED

Job losers and persons who completed temporary jobs On temporary layoff Not on temporary layoff

Job leavers Reentrants New entrants

PERCENT DISTRIBUTION

Total unemployed Job losers and persons who completed temporary jobs

On temporary layoff Not on temporary layoff

Job leavers Reentrants , New entrants ,

UNEMPLOYED AS A PERCENT OF THE CIVILIAN LABOR FORCE

Job losers and persons who completed temporary jobs Job leavers Reentrants , New entrants

3,863 1,031 2,832 770

2,766 594

100.0 48.3 12.9 35.4 9.6 34.6 7.4

3.0 .6 2.1 .5

3,706 1,012 2,694 786

2,758 621

100.0 47.1 12.9 34.2 10.0 35.0 7.9

2.8 .6 2.1 .5

3,574 824

2,750 874

2,620 600

100.0 46.6 10.7 35.9 11.4 34.2 7.8

2.7 •7

2.0 .5

3,513 848

2,665 755

2,626 614

100.0 46.8 11.3 35.5 10.1 35.0 8.2

2.7 .6 2.0 .5

3,495 881

2,614 710

2,575 578

100.0 47.5 12.0 35.5 9.6 35.0 7.9

2.7 .5 2.0 .4

3,442 930

2,512 704

2,525 555

100.0 47.6 12.9 34.8 9.7 34.9 7.7

2.6 .5 1.9 .4

3,658 1,061 2,598 694

2,488 597

100.0 49.2 14.3 34.9 9.3 33.4 8.0

2.8 .5 1.9 .5

3,339 1,025 2,314 773

2,474 582

100.0 46.6 14.3 32.3 10.8 34.5 8.1

2.5 .6 1.9 .4

3,352 1,032 2,320 811

2,430 604

100.0 46.6 14.3 32.2 11.3 33.8 8.4

2.5 .6 1.8 .5

3,532 1,145 2,387 817

2,779 637

100.0 45.5 14.7 30.7 10.5 35.8 8.2

2.7 .6 2.1 .5

3,614 958

2,657 870

2,458 522

100.0 48.4 12.8 35.6 11.7 32.9 7.0

2.7 .7 1.9 .4

3,423 1,066 2,357 834

2,526 540

100.0 46.7 14.6 32.2 11.4 34.5 7.4

2.6 .6 1.9 .4

3,615 1,184 2,431 832

2,593 571

100.0 47.5 15.6 31.9 10.9 34.1 7.5

2.7 .6

2.0 .4

A-12. Unemployed persons by duration of unemployment, seasonally adjusted


Duration


Less than 5 weeks 5 to 14 weeks 15 weeks and over

15 to 26 weeks 27 weeks and over

Average (mean) duration, in weeks Median duration, in weeks


Total unemployed Less than 5 weeks 5 to 14 weeks 15 weeks and over


1994

July

2,768 2,365 2,823 1,234 1,589

19.0 9.2

100.0 34.8 29.7 35.5 15.5 20.0

Aug.

2,655 2,572 2,773 1,198 1,575

18.9 9.2

100.0 33.2 32.1 34.7 15.0 19.7

Sept.

2,675 2,294 2,768 1,213 1,555

18.8 9.5

100.0 34.6 29.6 35.8 15.7 20.1

Oct.

2,434 2,256 2,934 1,344 1,590

19.3 10.1

100.0 31.9 29.6 38.5 17.6 20.9

Nov.

2,599 2,163 2,661 1,187 1,474

18.2 9.1

100.0 35.0 29.1 35.8 16.0 19.9

Dec.

2,587 2,149 2,456 1,088 1,368

17.8 8.7

100.0 36.0 29.9 34.1 15.1 19.0

1995

Jan.

2,937 2,122 2,386 1,033 1,353

16.7 7.9

100.0 39.4 28.5 32.0 13.9 18.2

Feb.

2,600 2,165 2,298 1,090 1,207

16.9 7.8

100.0 36.8 30.7 32.5 15.4 17.1

Mar.

2,523 2,319 2,266

920 1,347

17.5 7.9

100.0 35.5 32.6 31.9 12.9 18.9

Apr.

2,629 2,430 2,505 1,115 1,390

17.7 8.5

100.0 34.8 32.1 33.1 14.7 18.4

May

2,598 2,304 2,585 1,282 1,303

16.9 9.0

100.0 34.7 30.8 34.5 17.1 17.4

June

2,742 2,348 2,299 1,096 1,203

15.6 7.5

100.0 37.1 31.8 31.1 14.8 16.3

July

2,600 2,621 2,319 1,023 1,297

16.5 9.1

100.0 34.5 34.8 30.8 13.6 17.2

20


HOUSEHOLD DATA NOT SEASONALLY ADJUSTED

A-13. Employment status of the civilian noninstitutional population by age, sex, and race


Age, sex, and race

July 1995


population


Total Percent

of population

Employed

Total Percent

of population

Agriculture

Nonagri-cultural

industries

Unemployed

Number

Percent of

labor force

TOTAL

16 years and over 16 to 19 years



25 to 34 years 25 to 29 years 30 to 34 years




65 years and over 65 to 69 years 70 to 74 years 75 years and over

Men









Women









198,615 14,531

7,418 7,113

17,905 114,002 40,769 19,010 21,759 42,238 22,045 20,193 30,995 17,484 13,510 20,711 10,893

9,818 31,465

9,759 8,614

13,092

95,191 7,373 3,790 3,583 8,874

55,958 20,065

9,337 10,727 20,782 10,845 9,937

15,111 8,569 6,542 9,856 5,232 4,625

13,130 4,437 3,782 4,911

103,424 7,158 3,628 3,531 9,031

58,044 20,704

9,672 11,032 21,456 11,200 10,256 15,884

8,915 6,969

10,855 5,661 5,194

18,335 5,322 4,832 8,181

134,440 9,681 4,253 5,428

14,422 94,817 34,216 15.889 18,326 35,510 18,405 17,104 25,091 14,559 10,533 11,779

7,410 4,369 3,742 2,069 1,057

615

72,743 5,133 2,303 2,830 7,750

51,261 18,695 8,648

10,047 19,098 9,942 9,156

13,468 7,785 5,683 6,504 4,022 2,483 2,095 1,136

578 381

61,696 4,547 1,950 2,598 6,671

43,556 15,521 7,242 8,279

16,411 8,464 7,948

11,624 6,774 4,850 5,275 3,389 1,886 1,647

933 479 235

67.7 66.6 57.3 76.3 80.5 83.2 83.9 83.6 84.2 84.1 83.5 84.7 81.0 83.3 78.0 56.9 68.0 44.5 11.9 21.2 12.3 4.7

76.4 69.6 60.8 79.0 87.3 91.6 93.2 92.6 93.7 91.9 91.7 92.1 89.1 90.8 86.9 66.0 76.9 53.7 16.0 25.6 15.3 7.7

59.7 63.5 53.7 73.6 73.9 75.0 75.0 74.9 75.0 76.5 75.6 77.5 73.2 76.0 69.6 48.6 59.9 36.3

9.0 17.5 9.9 2.9

126,548 7,965 3,361 4,604

13,075 90,599 32,407 15,037 17,370 33,952 17,580 16,371 24,240 14,076 10,164 11,333 7,145 4,187 3,576 1,970 1,015

591

68,750 4,217 1,830 2,387 7,093

49,159 17,783 8,196 9,588

18,354 9,591 8,762

13,022 7,530 5,492 6,270 3,889 2,381 2,010 1,088

557 365

57,798 3,748 1,531 2,217 5,982

41,440 14,624 6,841 7,783

15,598 7,989 7,609

11,218 6,546 4,672 5,062 3,256 1,806 1,566

882 458 227

63.7 54.8 45.3 64.7 73.0 79.5 79.5 79.1 79.8 80.4 79.7 81.1 78.2 80.5 75.2 54.7 65.6 42.6 11.4 20.2 11.8 4.5

72.2 57.2 48.3 66.6 79.9 87.9 88.6 87.8 89.4 88.3 88.4 88.2 86.2 87.9 84.0 63.6 74.3 51.5 15.3 24.5 14.7 7.4

55.9 52.4 42.2 62.8 66.2 71.4 70.6 70.7 70.5 72.7 71.3 74.2 70.6 73.4 67.0 46.6 57.5 34.8 8.5

16.6 9.5 2.8

3,810 469 217 252 413

2,137 801 373 428 721 366 355 615 315 300 406 222 184 386 170 124 91

2,864 379 187 192 349

1,552 607 282 325 514 257 257 430 229 201 282 150 132 302 133 91 78

946 91 31 60 63

585 193 90

103 207 109 97

185 86 98

124 73 51 84 37 33 13

122,738 7,496 3,144 4,352

12,663 88,462 31,606 14,664 16,942 33,231 17,214 16,017 23,625 13,761 9,864

10,927 6,923 4,004 3,190 1,800

890 500

65,886 3,839 1,644 2,195 6,744

47,608 17,176 7,913 9,263

17,839 9,334 8,505

12,592 7,301 5,291 5,988 3,739 2,249 1,708

955 466 287

56,852 3,657 1,501 2,157 5,919

40,855 14,430 6,751 7,680

15,392 7,880 7,512

11,033 6,460 4,573 4,938 3,184 1,755 1,482

845 424 213

7,892 1,715

891 824

1,346 4,218 1,809

852 956

1,558 825 733 852 483 368 447 265 182 166 99 42 24

3,993 916 473 443 657

2,102 912 452 460 744 350 394 445 255 191 234 133 101 84 48 21 16

3,899 799 418 381 690

2,116 897 400 496 813 475 339 406 228 178 213 132 80 81 52 22

8

5.9 17.7 21.0 15.2 9.3 4.4 5.3 5.4 5.2 4.4 4.5 4.3 3.4 3.3 3.5 3.8 3.6 4.2 4.4 4.8 4.0 3.9

5.5 17.8 20.5 15.7 8.5 4.1 4.9 5.2 4.6 3.9 3.5 4.3 3.3 3.3 3.4 3.6 3.3 4.1 4.0 4.2 3.6 4.2

6.3 17.6 21.5 14.7 10.3 4.9 5.8 5.5 6.0 5.0 5.6 4.3 3.5 3.4 3.7 4.0 3.9 4.3 4.9 5.5 4.5 3.4

21



A-13. Employment status of the civilian noninstitutional population by age, sex, and race—Continued


Age, sex, and race

July 1995


population


Total Percent

of population

Employed

Total Percent

of population

Agriculture

Nonagri-cultural

industries

Unemployed

Percent of

labor force

WHITE









Men

16 years and over 16 to 19yeare

16 to 17 years 18 to 19year8







Women









166,931 11,479 5,821 5,658

14,298 95,009 33,356 15,476 17,881 35,233 18,353 16,880 26,420 14,833 11,587 17,985 9,411 8,575

28,160 8,545 7,698

11,918

80,741 5.862 2,994 2,868 7,153

47,253 16,652 7,717 8,935

17,572 9,166 6,405

13,029 7,344 5,685 8,652 4,566 4,087

11,820 3,918 3,361 4,521

86,190 5,616 2,826 2,790 7,145

47,756 16,704 7,759 8,945

17,661 9,187 8,475

13,391 7,489 5,902 9,333 4,845 4,488

16,340 4,627 4,317 7,397

113,747 8,023 3,526 4,497

11,867 80,078 28,378 13,153 15,225 30,008 15,533 14,475 21,692 12,505 9,187

10,370 6,474 3,896 3,409 1,866

972 571

62,255 4,279 1,902 2,377 6,429

43,825 15,682 7,243 8,438

16,380 8,542 7,838

11,764 6,758 5,006 5,815 3,560 2,255 1,906 1,025

528 353

51,493 3,744 1,625 2,119 5,438

36,252 12,697 5,910 6,787

13,628 6,991 6,637 9,928 5,747 4,181 4,555 2,915 1,640 1,503

841 444 218

68.1 69.9 60.6 79.5 83.0 84.3 85.1 85.0 85.2 85.2 84.6 85.8 82.1 84.3 79.3 57.7 68.8 45.4 12.1 21.8 12.6 4.8

77.1 73.0 63.5 82.9 89.9 92.7 94.2 93.9 94.4 93.2 93.2 93.2 90.3 92.0 88.1 67.2 78.0 55.2 18.1 28.2 15.6 7.8

59.7 66.7 57.5 76.0 76.1 75.9 76.0 76.2 75.9 77.2 76.1 78.3 74.1 76.7 70.8 48.8 60.2 36.5

9.2 18.2 10.3 2.9

108,096 6,885 2,909 3,976

10,991 76,944 27,064 12,555 14,509 28,868 14,950 13,918 21,012 12,125 8,887

10,012 6,267 3,745 3,263 1,782

931 550

59,386 3,681 1,581 2,100 6,006

42,236 14,996 6,912 8,086

15,829 8,290 7,540

11,408 6,554 4,854 5,633 3,467 2,165 1,831

982 509 340

48,710 3,204 1,328 1,876 4,985

34,709 12,066 5,643 6,423 13,039 6,661 6,378 9,604 5,571 4,033 4,380 2,800 1,580 1,433 800 423 210

64.8 60.0 50.0 70.3 76.9 81.0 81.1 81.1 81.1 81.9 81.5 82.5 79.5 81.7 76.7 55.7 66.6 43.7 11.6 20.9 12.1 4.6

73.6 62.8 52.8 73.2 84.0 89.4 90.1 89.6 90.5 90.1 90.4 89.7 87.6 89.2 85.4 65.1 75.9 53.0 15.5 25.1 15.0 7.5

56.5 57.0 47.0 67.2 69.8 72.7 72.2 72.7 71.8 73.8 72.5 75.3 71.7 74.4 68.3 46.9 57.8 35.2 8.8 17.3 9.8 2.8

3,508 452 208 244 379

1,920 724 344 380 648 337 311 549 273 276 392 213 179 364 160 120 84

2,603 368 179 189 316

1,367 542 256 286 450 234 216 375 191 184 273 142 131 280 122 86 71

905 84 29 55 64 553 182 88 94 198 103 95 173 82 92 119 71 49 85 38 33 13

104,588 6,433 2,702 3,731 10,612 75,024 26,340 12,211 14,129 28,220 14,613 13,607 20,464 11,853 8,611 9,620 6,054 3,566 2,899 1,622 812

56,783 3,313 1,403 1,910 5,691

40,869 14,456 6,656 7,800

15,379 8,055 7,324

11,033 6,363 4,670 5,360 3,325 2,034 1,551

860 422 269

47,805 3,120 1,299 1,821 4,921

34,155 11,884 5,555 6,329 12,841 6,558 6,283 9,431 5,490 3,941 4,261 2,729 1,532 1,348 762 389 197

5,651 1,138 617 521 876

3,134 1,314 598 717

1,140 583 557 679 380 300 358 207 150 146 84 40 22

2,868 598 320 278 422

1,590 684 332 352 551 253 298 355 204 152 183 92 90 75 43 19 14

2,783 540 297 243 453

1,544 631 266 364 589 330 259 324 176 148 175 115 60 70 42 21 8

5.0 14.2 17.5 11.6 7.4 3.9 4.6 4.5 4.7 3.8 3.8 3.8 3.1 3.0 3.3 3.4 3.2 3.9 4.3 4.5 4.1 3.8

4.6 14.0 16.8 11.7 6.6 3.6 4.4 4.6 4.2 3.4 3.0 3.8 3.0 3.0 3.0 3.1 2.6 4.0 4.0 4.2 3.6 3.9

5.4 14.4 18.3 11.5 8.3 4.3 5.0 4.5 5.4 4.3 4.7 3.9 3.3 3.1 3.5 3.8 3.9 3.7 4.7 4.9 4.7 3.7

22



A-13. Employment status of the civilian noninstitutional population by age, sex, and race—Continued


Age, sex, and race

July 1995


population


Total Percent

of population

Employed

Total Percent

of population

culture

Nonagri-cultural

industries

Unemployed

Number

Percent of

labor force

BLACK









Men









Women









23,249 2,273 1,211 1,062 2,561 13,783 5,369 2,545 2,824 5,148 2,736 2,413 3,266 1,889 1,377 2,060 1,092 967

2,572 959 673 940

10,411 1,120 600 519

1,168 6,216 2,422 1,127 1,295 2,332 1,227 1,104 1,462 858 604 902 488 414

1,007 418 291 298

12,837 1,153 610 543

1,393 7,568 2,947 1,419 1,528 2,817 1,508 1,309 1,804 1,031 773

1,158 605 553

1,565 541 382 642

15,062 1,255 582 673

1,827 10,715 4,268 1,996 2,272 4,051 2,141 1,910 2,396 1,447 949

1,009 669 340 256 159 64 33

7,353 645 319 327 886

5,200 2,120 972

1,148 1,919 995 925

1,161 700 461 483 323 160 138 83 37 17

7,709 610 263 347 941

5,515 2,148 1,024 1,124 2,131 1,146 986

1,235 747 488 525 346 180 118 76 27 15

64.8 55.2 48.1 63.4 71.4 77.7 79.5 78.4 80.5 78.7 78.2 79.2 73.4 76.6 68.9 49.0 61.3 35.1 9.9 16.6 9.5 3.5

70.6 57.6 53.1 62.9 75.9 83.7 87.5 86.3 88.6 82.3 81.0 83.7 79.4 81.6 76.2 53.6 66.3 38.7 13.7 19.8 12.9 5.8

60.1 52.9 43.2 63.8 67.6 72.9 72.9 72.2 73.6 75.7 76.0 75.3 68.5 72.4 63.2 45.4 57.2 32.5 7.5 14.0 7.0 2.4

13,280 781 359 422

1,449 9,871 3,878 1,799 2,079 3,722 1,943 1,778 2,271 1,367 904 939 620 319 239 147 61 31

6,486 397 197 200 702

4,814 1,939 877

1,062 1,776 922 854

1,099 662 437 444 291 153 129 78 35 15

6,794 385 163 222 747

5,057 1,940 922

1,018 1,946 1,022 924

1,172 705 467 495 329 166 111 69 26 15

57.1 34.4 29.7 39.7 56.6 71.6 72.2 70.7 73.6 72.3 71.0 73.7 69.5 72.4 65.6 45.6 56.8 32.9

9.3 15.4 9.1 3.3

62.3 35.4 32.8 38.5 60.1 77.5 80.1 77.9 81.9 76.2 75.1 77.4 75.2 77.2 72.3 49.2 59.7 36.9 12.8 18.6 12.2 5.2

52.9 33.3 26.6 40.9 53.6 66.8 65.8 65.0 66.6 69.1 67.7 70.6 64.9 68.3 60.4 42.7 54.4 30.0

7.1 12.8

6.8 2.4

115 5 4 1

12 84 23 10 13 30

9 21 30 14 16

1 2

14 8 3 3

107 3 4

12 77 23 10 13 28

8 20 25 11 28

2 2

14 8 3 3

13,165 777 356 421

1,437 9,787 3,855 1,789 2,066 3,692 1,934 1,758 2,241 1,353

888 938 618 320 226 140 59 27

6,378 393 193 200 690

4,737 1,916

867 1,048 1,747

913 834

1,074 651 423 442 289 154 115 70 33 12

6,786 383 163 221 747

5,051 1,939

922 1,017 1,944 1,021

924 1,167

702 465 495 329 166 111 69 26 15

1,782 474 223 251 378 844 390 196 193 329 197 132 125 80 45 70 49 21 16 12 3 2

867 249 122 127 184 386 181

95 86

144 73 71 61 38 24 40 32

7 9 5 2 2

915 225 101 125 194 458 209 102 107 185 124 61 64 42 21 30 17 14 7 7 1

11.8 37.8 38.3 37.3 20.7

7.9 9.1 9.8 8.5 8.1 9.2 6.9 5.2 5.5 4.8 6.9 7.3 6.2 6.3 7.3

(1) (1)

11.8 38.5 38.2 38.8 20.7

7.4 8.5 9.7 7.5 7.5 7.4 7.6 5.3 5.4 5.1 8.2 9.9 4.6 6.5 6.1

(1) (1)

11.9 37.0 38.3 35.9 20.7

8.3 9.7 9.9 9.5 8.7

10.8 6.2 5.2 5.7 4.4 5.8 4.9 7.6 6.2 8.7

(1) (1)

1 Data not shown where base is less than 75,000.

23



A-14. Employment status of the civilian noninstitutional population by race, sex, and age


Employment status and race

Total

July 1994

July 1995


July 1994

July 1995


July 1994

July 1995


July 1994

TOTAL

Civilian noninstitutional population . Civilian labor force




Not in labor force

White





Not in labor force

Black





Not in labor force

196,859 132,783

67.5 124,503

3,732 120,770

8,281 6.2

64,076

165,576 112,514

68.0 106,447

3,473 102,973

6,067 5.4

53,062

22,883 14,811

64.7 13,072

164 12,908

1,739 11.7

8,072

198,615 134,440

67.7 126,548

3,810 122,738

7,892 5.9

64,175

166,931 113,747

68.1 108,096

3,508 104,588

5,651 5.0

53,184

23,249 15,062

64.8 13,280

115 13,165

1,782 11.8

8,187

87,123 67,138

77.1 63,636 2,486

61,150 3,503

5.2 19,985

74,308 57,667

77.6 55,065 2,286

52,779 2,601

4.5 16,641

9,153 6,625

72.4 5,953

127 5,827

672 10.1

2,527

87,818 67,610

77.0 64,533 2,485

62,047 3,077

4.6 20,208

74,879 57,975

77.4 55,705 2,235

53,470 2,270

3.9 16,903

9,292 6,707

72.2 6,089

104 5,985

618 9.2

2,584

95,469 56,320

59.0 53,169

872 52,297 3,150

5.6 39,150

79,983 47,088

58.9 44,725

829 43,896 2,363

5.0 32,895

11,498 6,982 60.7

6,349 23

6,326 633 9.1

4,515

96,265 57,149

59.4 54,050

855 53,194 3,100

5.4 39,116

80,574 47,748

59.3 45,506

821 44,685

2,242 4.7

32,826

11,684 7,099 60.8

6,409 6

6,403 690 9.7

4,585

14,267 9,325 65.4

7,698 375

7,323 1,628 17.5

4,941

11,285 7,759 68.8

6,657 358

6,298 1,102 14.2

3,526

2,233 1,204 53.9 769

15 755 434 36.1

1,029

24



A-15. Employment status of the civilian noninstitutional population 16 to 24 years of age by school enrollment, educational attainment, sex, race, and Hispanic origin


Enrollment status, educational attainment, race, and Hispanic origin

July 1995


population


Total Percent of population

Employed

Total Full time

Part time

Unemployed

Total

Looking for

full-time work

TOTAL ENROLLED

Total, 16 to 24 years 16 to 19 years 20 to 24 years

High school College

Full-time students Part-time students

Men, 16 to 24 years 16 to 19 years 20 to 24 years

High school College


Women, 16 to 24 years 16 to 19 years 20 to 24 years

High school College


White


Men Women

High school College


Black


Men Women

High school College


Hispanic origin


Men Women

High school College


5,835 3,188 2,647

2,136 3,699 2,510 1,188

2,805 1,609 1,196

1,159 1,646 1,178 468

3,030 1,579 1,451

977 2,053 1,332 720

4,407 2,339 2,068

2,149 2,258

1,480 2,927 1,946 981

947 587 360

416 531

471 475 339 136

800 491 308

425 374

429 370 257 113

3,390 1,638 1,752

909 2,481 1,502 979

1,639 832 807

525 1,114 732 383

1,751 806 945

384 1,367 770 597

2,785 1,319 1,466

1,382 1,403

675 2,110 1,266 843

425 229 195

177 248

182 242 155 87

363 198 165

182 180

148 215 140 76

58.1 51.4 66.2

42.5 67.1 59.8 82.4

58.4 51.7 67.4

45.3 67.7 62.1 81.8

57.8 51.0 65.2

39.3 66.6 57.8 82.8

63.2 56.4 70.9

64.3 62.1

45.6 72.1 65.1 86.0

44.8 39.1 54.3

42.5 46.7

38.7 51.0 45.8 63.9

45.4 40.4 53.4

42.9 48.2

34.4 58.2 54.3 67.0

2,984 1,343 1,641

691 2,293 1,362 931

1,437 666 771

394 1,043 675 368

1,547 677 870

298 1,249 687 563

2,515 1,124 1,391

1,236 1,279

537 1,978 1,167 811

321 154 167

143 178

122 198 125 73

301 150 152

140 161

108 193 120 73

1,116 341 775

144 972 480 492

611 200 410

92 519 302 217

505 141 364

52 453 179 274

955 299 656

528 427

100 856 423 432

108 33 74

38

119 35 83

59 59

32 86 46 40

1,868 1,002 867

548 1,321 881 439

826 465 361

302 524 373 151

1,042 536 506

246 796 508 288

1,560 825 734

708 852

437 1,123 744 379

213 120 93

89 124

84 129

182 114 68

81 102

76 106 73 33

406 295 111

218 188 140 48

202 167 35

131 71 57 14

204 128 75

87 117 83 34

270 194 76

146 123

138 131 99 33

104 75 29

34 70

60 44 30 14

62 49 13

42 19

39 23 20 3

203 125 78

88 115 80 35

105 77 29

62 43 31 13

98 49 49

26 72 49 22

128 80 48

74 54

55 73 52 20

60 34 26

19 41

24 36 23 13

14 9 5

12 2

6 7 5 3


25



A-15. Employment status of the civilian noninstitutional population 16 to 24 years of age by school enrollment, educational attainment, sex, race, and Hispanic origin—Continued


Enrollment status, educational attainment, race, and Hispanic origin

July 1995


population


Total Percent of population

Employed

Total Full time

Part time

Unemployed

Looking for

full-time work

Looking for

part-time work

TOTAL NOT ENROLLED


Less than a high school diploma High school graduates, no college Less than a bachelor's degree College graduates

Men, 16 to 24 years 16 to 19 years 20 to 24 years


Women, 16 to 24 years 16 to 19 years 20 to 24 years


White


Men Women


Black


Men Women


Hispanic origin


Men Women


26,601 11,343 15,258

9,281 8,372 7,152 1,796

13,441 5,764 7,678

4,977 4,278 3,430

757

13,160 5,579 7,580

4,304 4,094 3,722 1,039

21,370 9,140

12,230

10,867 10,503

7,189 6,615 5,994 1,571

3,887 1,687 2,201

1,872 2,016

1,550 1,381

821 134

3,653 1,389 2,264

1,880 1,772

1,886 1,052

20,712 8,043

12,670

5,891 6,896 6,301 1,625

11,245 4,301 6,944

3,564 3,842 3,137

703

9,468 3,742 5,726

2,327 3,054 3,164

922

17,105 6,705

10,400

9,326 7,779

4,783 5,541 5,352 1,430

2,658 1.026 1,632

1,355 1,303

798 1,058

679 123

2,608 873

1,735

1,613 995

1,198 801 566

43

77.9 70.9 83.0

63.5 82.4 88.1 90.5

83.7 74.6 90.4

71.6 89.8 91.5 92.9

71.9 67.1 75.5

54.1 74.6 85.0 88.8

80.0 73.4 85.0

85.8 74.1

66.5 83.8 89.3 91.0

68.4 60.9 74.1

72.4 64.6

51.4 76.6 82.7 91.9

71.4 62.8 76.7

85.8 56.1

63.5 76.1 86.5 (1)

18,057 6,623

11,434

4,606 5,987 5,937 1,527

9,874 3,552 6,322

2,847 3,391 2,966

670

8,183 3,071 5.112

1,759 2,596 2,971

857

15,361 5,760 9,600

8,452 6,909

3.917 4,986 5,109 1,349

1,910 627

1,282

956 953

468 752 579 111

2,171 648

1,523

1,373 798

922 697 512

41

12,513 3,173 9,340

2,279 4,510 4,394 1.330

7,377 1,905 5,473

1,604 2,832 2,328

614

5,136 1,269 3,867

675 1,678 2.067

716

10,609 2,760 7,849

6,316 4,293

1,910 3,733 3,783 1,183

1,347 296

1,052

711 637

229 593 433

92

1.573 352

1,221

1,043 530

635 530 377

32

5,544 3,450 2,094

2,327 1,478 1,543

197

2,497 1,647

849

1,243 559 638

56

3,047 1,802 1,245

1,084 919 904 141

4,752 3,001 1,751

2,136 2,616

2,006 1,253 1,326

166

562 332 231

246 317

239 159 146

19

598 296 302

330 268

288 167 135

9

2,656 1,420 1,236

1,285 908 364

98

1,371 749 621

717 450 171

33

1,285 671 614

568 458 194 65

1,744 944 800

874 870

866 555 243 81

748 399 349

399 350

330 306 100

13

437 224 212

240 197

276 104

55 2

2,070 956

1,114

887 777 317

90

1,114 524 590

524 404 155

30

956 432 524

363 372 161 60

1,327 610 717

700 626

566 476 210

74

607 290 316

331 276

247 260

90 10

363 168 195

207 156

224 84 53

2

586 464 122

398 131 48

8

257 225

32

193 46 15

3

329 239

90

205 85 32 6

417 334 83

174 244

300 78 33 6

142 109

33

68 74

82 46 11 3

74 56 18

33 41

52 20

2

1 Data not shown where base is less than 75,000. NOTE: In the summer months, the educational attainment levels of youth not

enrolled in school are increased by the temporary movement of high school and college students into that group. Detail for the above race and Hispanic-origin

groups will not sum to totals because data for the "other races" group are not presented and Hispanics are included in both the white and black population groups.

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


A-16. Employed and unemployed full- and part-time workers by age, sex, and race (In thousands)

Age, sex, and race

July 1995

Employed1

Full-time workers

Total

At work

35 hours

1 to 34 hours for economic

or noneconomic

reasons

Not at

work

Part-time workers

Total

At work2

Part time for economic reasons

Part time for

noneconomic reasons

Not at

work

Unemployed

Looking for

full-time work

TOTAL

Total, 16 years and over 16 to 19 years


20 years and over 20 to 24 years 25 years and over


Men, 16 years and over 16 to 19 years 20 years and over



Women, 16 years and over 16 to 19 years 20 years and over



White







Black







104,505 3,514 967

2,547 100,990 10,114 90,876 79,942 10,933

61,782 2,105 59,677 5,883 53,794 47,106 6,687

42,723 1,409

41,313 4,231 37,082 32,836 4,246

53,461 1,856

51,605 4,988 46,618 40,615 6,002

35,356 1,203

34,153 3,518 30,635 27,006 3,629

5,749 181

5.568 583

4,985 4,508 477

5,568 148

5,420 543

4,877 4,426 451

87,162 3,018 793

2,226 84,144 8,823 75,320 66,457 8,863

53,327 1,825

51,502 5,266 46,236 40,656 5,581

33,834 1,193

32,641 3,558 29,084 25,801 3,282

46,127 1,606

44,521 4,472 40,049 35,010 5,039

27,798 1,017

26,781 2,954 23,827 21,052 2,776

4,936 158

4,778 513

4,264 3,897 367

4,519 124

4,395 470

3,926 3,572 354

9,312 413 144 269

8,898 930

7,969 7,003 966

4,909 239

4,671 459

4,211 3,610 601

4,402 175

4,228 470

3,757 3,393 364

4,270 217

4,053 397

3,656 3,129 528

3,774 153

3,621 399

3,223 2,886 336

456 15

441 44 397 344 53

468 16

453 45 408 381 27

8,031 83 30 53

7,949 362

7,587 6,482 1,105

3,545 41

3,504 158

3,346 2,841 505

4,486 42

4,444 203

4,241 3,641 600

3,065 33

3,032 119

2,912 2,477 436

3,783 33

3,750 165

3,585 3,068 517

7 349 26 323 266 57

580 9

572 29 543 473 70

22,043 4,451 2,394 2,057 17,592 2.961 14,632 10,657 3,975

6,968 2,113 4,856 1,210 3,646 2,053 1,593

15,075 2,339 12,736 1,751 10,986 8,604 2,382

5,925 1,825 4,100 1,018 3,081 1,620 1,461

13,354 2,001

11,353 1.467 9,886 7,702 2,184

737 216 521 119 402 306 96

1,226 236 989 204 786 631 154

3,446 733 283 450

2,713 696

2,017 1,745 273

1,495 385

1,110 335 775 643 132

1,951 348

1,603 361

1,243 1,102 141

1,212 332 880 269 611 500 111

1,595 312

1,283 303 980 861 119

207 38 170 44 126 112 14

254 25 229 37 192 176 16

16,319 3,485 1,954 1,532

12,834 2,111

10,723 7,473 3,251

5,023 1,628 3,395

820 2,574 1,255 1,320

11,296 1,857 9,439 1,290 8,149 6,218 1,931

4,322 1,406 2,916

706 2,211

989 1,222

10,105 1,576 8,529 1,080 7,449 5,672 1,777

481 169 312

65 247 177

845 195 651 158 493 374 118

2,278 233 158 75

2,045 154

1,891 1,439

451

450 99

351 54

297 156 141

1,828 134

1,694 100

1,594 1,284

310

391 88

303 44

259 131 129

1,654 113

1,541 84

1,457 1,169

288

49 9

40 10 29 16 13

126 17

110 9

101 81 20

6,418 1,081

417 663

5,337 1,192 4,145 3,692

453

3,467 600

2,867 618

2,249 1,987

261

2,951 480

2,470 574

1,897 1,705

192

2,472 378

2,093 396

1,697 1,491

206

2,022 312

1,711 368

1,342 1,185

157

773 177 597 173 424 380

44

762 148 614 169 445 420

25

1 Employed persons are classified as full- or part-time workers based on their usual weekly hours at all jobs regardless of the number of hours they are at work during the reference week. Persons absent from work are also classified according to their usual

status. 2 Includes some persons at work 35 hours or more classified by their reason for

working part time.

27



A-17. Employed persons by occupation, sex, and age

(In thousands)

Occupation

Total

16 years and over

July 1994

July 1995

Men

16 years and over

July 1994

July 1995

20 years and over

July 1994

July 1995

Women

16 years and over

July 1994

July 1995

20 years and over

July 1994

Total

Managerial and professional specialty Executive, administrative, and managerial

Officials and administrators, public administration Other executive, administrative, and managerial Management-related occupations

Professional specialty Engineers Mathematical and computer scientists Natural scientists Health diagnosing occupations Health assessment and treating occupations Teachers, college and university Teachers, except college and university Lawyers and judges Other professional specialty occupations

Technical, sales, and administrative support , Technicians and related support

Health technologists and technicians Engineering and science technicians Technicians, except health, engineering, and science

Sales occupations Supervisors and proprietors Sales representatives, finance and business services , Sales representatives, commodities, except retail Sales workers, retail and personal services Sales-related occupations

Administrative support, including clerical Supervisors Computer equipment operators Secretaries, stenographers, and typists Financial records processing Mail and message distributing Other administrative support, including clerical

Service occupations Private household Protective service Service, except private household and protective

Food service Health service Cleaning and building service Personal service

Precision production, craft, and repair Mechanics and repairers Construction trades Other precision production, craft, and repair

Operators, fabricators, and laborers Machine operators, assemblers, and inspectors Transportation and material moving occupations

Motor vehicle operators Other transportation and material moving occupations

Handlers, equipment cleaners, helpers, and laborers Construction laborers Other handlers, equipment cleaners, helpers, and laborers

Farming, forestry, and fishing Farm operators and managers Other farming, forestry, and fishing occupations

124,503

33,476 16,501

651 11,524 4,322

16,975 1,883 1,182

583 947

2,683 706

3,738 852

4,402

37,491 3,927 1,631 1,216 1,081

14,921 4,469 2,362 1,508 6,497

85 18,643

737 540

4,319 2,357

934 9,756

17,440 878

2,314 14,248

6,061 2,176 3,178 2,833

13,730 4,537 5,273 3,920

18,182 7,734 5,169 3,838 1,331 5,279

849 4,430

4,184 1,498 2,687

126,548

35,302 17,482

753 12,344 4,384

17,821 2,006 1,202

520 998

2,894 741

4,018 951

4,491

38,125 4,076 1,663 1,279 1,134

15,391 4,534 2,375 1,547 6,848

87 18,658

751 486

4,185 2,318 1,055 9,863

17,211 838

2,345 14,028 5,849 2,355 2,975 2,848

13,742 4,419 5,318 4,004

18,016 7,601 5,149 3,831 1,318 5,266

930 4,336

4,152 1,501 2,651

67,649

17,439 9,500

371 7,081 2,047 7,938 1,716

763 396 746 318 401 895 606

2,097

13,406 1,901

294 962 645

7,527 2,805 1,418 1,120 2,166

18 3,978

277 228 106 235 572

2,560

7,052 38

1,882 5,132 2,550

267 1,728

588

12,502 4,327 5,164 3,011

13,900 4,797 4,767 3,476 1,291 4,336 817

3,519

3,351 1,095 2,256

68,750

18,578 10,062

395 7,640 2,028 8,515 1,843 769 391 757 436 410

1,051 690

2,168

13,700 2,039 349

1,014 676

7,703 2,759 1,336 1,232 2,361

15 3,958 323 205 98 186 655

2,493

6,946 38

1,958 4,950 2,399 300

1,648 603

12,505 4,257 5,181 3,067

13,709 4,808 4,710 3,442 1,267 4,191

898 3,294

3,313 1,118 2,195

63,636

17,302 9,451

370 7,036 2,045 7,851 1,714

761 396 743 317 401 874 606

2,038

12,711 1,869

293 936 641

7,084 2,795 1,402 1,111 1,762

16 3,758

274 211

97 223 542

2,410

5,884 25

1,787 4,073 1,795

245 1,551

482

12,170 4,213 5,011 2,946

12,660 4,612 4,653 3,384 1,269 3,395 663

2,732

2,908 1,063 1,844

64,533

18,394 10,022

394 7,605 2,022 8,372 1,837 769 389 757 436 411

1,003 690

2,080

12,895 2,006 347 985 674

7,175 2,724 1,321 1,229 1,886

15 3,714 322 199 92 185 617

2,299

5,760 30

1,886 3,844 1,646 286

1,449 464

12,115 4,161 4,944 3,010

12,535 4,621 4,591 3,346 1,244 3,323 757

2,566

2,834 1,056 1,778

56,854

16,037 7,000 280

4,443 2,275 9,037 167 419 186 201

2,365 305

2,843 246

2,305

24,085 2,026 1,337 254 436

7,394 1,664 945 388

4,330 67

14,665 460 312

4,213 2,122 362

7,196

10,388 841 432

9,116 3,511 1,910 1,449 2,245

1,228 210 109 909

4,282 2,937 402 362 40 943 32 912

833 402 430

57,798

16,725 7,419 358

4,704 2,357 9,305 163 433 129 240

2,457 331

2,967 261

2,323

24,425 2,037 1,314 265 458

7,688 1,775 1,039 315

4,487 72

14,700 428 281

4,087 2,133 401

7,370

10,266 801 388

9,077 3,450 2,055 1,328 2,245

1,237 162 138 937

4,307 2,793 439 389 51

1,075 32

1,042

839 383 455

53,169

15,855 6,953 278

4,401 2,272 8,902 167 418 184 201

2,363 304

2,795 246

2,223

22,327 1,997 1,319 251 427

6,255 1,647 934 379

3,231 64

14,074 458 297

4,096 2,097 352

6,775

8,950 683 342

7,925 2,703 1,823 1,370 2,029

1,193 206 96 891

4,084 2,856 396 356 40 831 31 801

761 384 377

28



A-18. Employed persons by occupation, race, and sex

(Percent distribution)

Occupation and race Total

July 1994

July 1995

Men

July 1994

July 1995

Women

July 1994

TOTAL

Total, 16 years and over (thousands) Percent

Managerial and professional specialty Executive, administrative, and managerial Professional specialty

Technical, sales, and administrative support Technicians and related support Sales occupations Administrative support, including clerical


Precision production, craft, and repair Operators, fabricators, and laborers

Machine operators, assemblers, and inspectors Transportation and material moving occupations Handlers, equipment cleaners, helpers, and laborers

Farming, forestry, and fishing

White








Black








124,503 100.0

26.9 13.3 13.6 30.1

3.2 12.0 15.0 14.0

.7 1.9

11.4 11.0 14.6 6.2 4.2 4.2 3.4

106,447 100.0

27.9 13.8 14.1 30.5

3.1 12.6 14.8 12.8

.7 1.8

10.3 11.4 13.9 5.8 4.1 4.0 3.6

13,072 100.0

18.6 9.0 9.6

28.0 2.8 8.1

17.2 23.2

1.0 2.8

19.4 8.2

20.0 8.5 5.4 6.1 1.9

126,548 100.0

27.9 13.8 14.1 30.1 3.2

12.2 14.7 13.6

.7 1.9

11.1 10.9 14.2

6.0 4.1 4.2 3.3

108,096 100.0

29.0 14.5 14.5 30.3

3.3 12.6 14.5 12.6

.6 1.8

10.1 11.2 13.4

5.5 3.9 4.0 3.5

13,280 100.0

19.9 9.2

10.6 29.1 2.7 8.9

17.6 21.2

.9 2.6

17.7 8.4

20.0 8.8 5.8 5.4 1.4

67,649 100.0

25.8 14.0 11.7 19.8 2.8

11.1 5.9

10.4 .1

2.8 7.6

18.5 20.5

7.1 7.0 6.4 5.0

58,538 100.0

26.8 14.7 12.2 20.0

2.8 11.7 5.5 9.2

.1 2.6 6.6

19.1 19.6 6.8 6.8 6.0 5.2

6,353 100.0

15.3 8.9 6.4

17.6 2.1 6.9 8.7

19.9 O

4.7 15.2 14.5 29.4

9.6 9.9 9.9 3.3

68,750 100.0

27.0 14.6 12.4 19.9 3.0

11.2 5.8

10.1 .1

2.8 7.2

18.2 19.9

7.0 6.9 6.1 4.8

59,386 100.0

28.1 15.4 12.7 20.1

3.0 11.7 5.4 9.2

.1 2.8 6.3

18.8 18.8 6.6 6.5 5.8 5.0

6,486 100.0

18.4 9.4 9.1

17.8 2.2 7.0 8.6

17.3 .1

4.0 13.2 14.8 29.2

9.8 10.7 8.7 2.5

56,854 100.0

28.2 12.3 15.9 42.4

3.6 13.0 25.8 18.3

1.5 .8

16.0 2.2 7.5 5.2

.7 1.7 1.5

47,909 100.0

29.1 12.7 16.4 43.3

3.5 13.6 26.1 17.1

1.4 .7

14.9 2.1 6.9 4.6

.7 1.6 1.6

6,719 100.0

21.8 9.2

12.6 37.9

3.5 9.1

25.2 26.3

2.0 .9

23.4 2.4

11.1 7.6 1.2 2.4

.5

1 Less than 0.05 percent.

29



A-19. Employed persons by industry and occupation

(In thousands)

Industry

July 1995

Total em

ployed

Managerial and professional

specialty

Executive, administrative,

and managerial

Professional

specialty

Technical, sales, and administrative

support

Technicians and

related support

Sales

Administrative

support, including clerical

Service occupations

Private house

hold

Other service1

Precision

production, craft, and

repair

Operators, fabricators,

and laborers

Machine operators,

assemblers, and

inspectors

Transportation and

material moving

Handlers, equipment | cleaners, helpers,

and laborers

Agriculture Mining Construction Manufacturing


Transportation and public utilities

Wholesale and retail trade Wholesale trade Retail trade

Finance, insurance, and real estate

Services Private households Other service industries .

Professional services... Public administration

3,810 603

8,125 20,424 12,044 8,380

8,849 26,503 5,061 21,442

8,150 43,995

978 43,017 28,688 6,087

111 94

1,116 2,822 1,703 1,119

1,172 2,262 537

1,725

2,318 6,183

6 6,177 3,737 1,404

79 60 155

1,766 1,212 554

539 610 112 498

271 13,256

7 13,249 11,554 1,084

61 13 42 655 429 226

308 204 57 147

142 2,431

4 2,427 2,058 220

10 4 72 776 294 482

242 111,171 2,024 9,147

1,962 1,136

1,136 206 19

155 53 473

2,212 1,179 1,033

2,376 2,414 860

1,554

2,837 6,727

13 6,714 4,877 1,411

838 838

25 3 39 325 167 158

215 4,953

33 4,921

290 8,943

56 8,887 5,139 1,579

23 216

4,523 3,760 2,557 1,202

1,293 1,402 309

1,093

198 2,114

5 2,109 497 214

16 22 75

6,183 3,473 2,711

126 360 174 186

14 775 1

773 154 30

52 103 595 705 374 331

2,040 1,022 470 552

14 556 6

550 258 62

23 33

1,015 1,100 546 554

521 1,985 415

1,570

21 538 5

533 84 30

Includes protective service, not shown separately.

30



A-20. Employed persons in agriculture and nonagricultural industries by age, sex, and class of worker

(In thousands)

Age and sex

July 1995

Agriculture

Wage and

salary workers

Self-employed workers

Unpaid family

workers

Nonagricultural industries

Wage and salary workers

Total

Private industries

Total Private

household workers

Other private

industries

Government

Self-employed | workers

Total, 16 years and over.... 16 to 19 years


20 to 24 years 25 to 34 years 35 to 44 years 45 to 54 years 55 to 64 years 65 years and over

Men, 16 years and over 16 to 19 years



Women, 16 years and over 16 to 19 years



2,065 343 138 205 345 555 378 250 122 71

1,622 266 117 150 291 442 283 189 89 61

443 77 22 55 53

113 95 60 33 10

1,688 118

72 45 59

240 328 355 277 311

1,217 107 65 42 49

165 226 240 192 238

471 11 7 3

10 75

102 116

86 73

58 8 6 2 9 5

15 10

6 3

25 6 5

1 1 3

32 3

5 10

113,477 7,327 3,060 4,267

12,364 29,804 30,462 21,373

9,613 2,535

60,301 3,759 1,605 2,154 6,556

16,113 16,171 11,259 5,141 1,302

53,176 3,568 1,455 2,113 5,808

13,691 14,291 10,115

4,471 1,233

95,670 6,826 2,819 4,006

11,305 25,861 25,138 16,573

7,816 2,150

51,916 3,483 1,454 2,029 6,070

14,234 13,755 8,967 4,287 1,119

43,753 3,343 1,366 1,978 5,235

11,627 11,383 7,606 3,529 1,030

974 156

96 60

132 145 199 147 123

73

89 27 20

8 13 10 14 11

7 6

885 128

76 52

119 135 184 136 116 67

94,695 6,670 2,724 3,946

11,173 25,716 24,939 16,427

7,693 2,077

51,827 3,455 1,434 2,021 6,057

14,224 13,740 8,957 4,280 1,113

42,868 3,215 1,290 1,925 5,116

11,493 11,199 7,470 3,413

963

17,807 501 240 261

1,058 3,942 5,324 4,800 1,796

385

8,385 277 151 125 486

1,879 2,416 2,292

854 182

9,423 224 89

135 573

2,063 2,909 2,508

943 203

9,153 160 80 81

284 1,793 2,736 2,228 1,307

645

5,562 75 35 40

182 | 1,061 1,665 | 1,332

843 403

3,591 85 44 41

102 732

1,070 896 464 242

31



A-21. Persons at work in agriculture and nonagricultural industries by hours of work

Hours of work

Total, 16 years and over

1 to 34 hours 1 to 4 hours 5 to 14 hours 15 to 29 hours 30 to 34 hours

35 hours and over 35 to 39 hours 40 hours 41 hours and over

41 to 48 hours 49 to 59 hours 60 hours and over

Average hours, total at work Average hours, persons who usually work full time

July 1995

Thousands of persons

All industries

116,239

28,145 1,546 4,004

14,044 8,552

88,094 8,665

42,411 37,018 13,355 13,093 10,571

39.7 43.5

Agriculture

3,634

1,031 94

240 444 253

2,603 175 722

1,705 251 429

1,025

44.9 51.8


112,605

27,113 1,451 3,764

13,599 8,298

85,492 8,490

41,689 35,313 13,104 12,663 9,546

39.6 43.2

Percent distribution

All industries

100.0

24.2 1.3 3.4

12.1 7.4

75.8 7.5

36.5 31.8 11.5 11.3 9.1

Agriculture

100.0

28.4 2.6 6.6

12.2 7.0

71.6 4.8

19.9 46.9

6.9 11.8 28.2


100.0

24.1 1.3 3.3

12.1 7.4

75.9 7.5

37.0 31.4 11.6 11.2 8.5

_

NOTE: Detail on persons at work in tables A-21 through A-25 may not sum to the totals shown because of minor editing problems associated with the

redesigned survey.

A-22. Persons at work 1 to 34 hours in all and nonagricultural industries by reason for working less than 35 hours and usual full- or part-time status


Reason for working less than 35 hours

July 1995

All industries

Total Usually work

full time

Usually work

part time


Total Usually work

full time

Usually work

part time


Economic reasons Slack work or business conditions Could only find part-time work Seasonal work Job started or ended during week

Noneconomic reasons Child-care problems Other family or personal obligations Health or medical limitations In school or training Retired or Social Security limit on earnings Vacation or personal day Holiday, legal or religious Weather-related curtailment All other reasons

Average hours: Economic reasons Other reasons

28,145

4,749 2,464 1,983

110 192

23,395 770

4,889 642

4,243 1,676 4,313

125 286

6,452

22.8 21.4

9,312

1,489 1,226

71 192

7,823 40

654

61

4,313 125 286

2,345

24.0 23.8

18,833

3,261 1,238 1,983

40

15,572 730

4,234 642

4,182 1,676

4,107

22.2 20.2

27,113

4,556 2,356 1,909

105 185

22,557 759

4,697 603

4,088 1,550 4,233

125 253

6,249

22.8 21.6

9,011

1,394 1,139

70 185

7,617 38

630

57

4,233 125 253

2,280

24.0 23.9

18,103

3,162 1,218 1,909

35

14,940 720

4,067 603

4,031 1,550

3,970

22.2 20.4

32



A-23. Persons at work in nonagricultural industries by class of worker and usual full- or part-time status


Industry and class of worker

July 1995

Total at

work

Worked 1 to 34 hours

Total For

economic

For noneconomic reasons

Usually work full

time

Usually work part time

Worked 35 hours or more

Average hours

Total at

work

Total 16 years and over

Wage and salary workers

Mining

Construction

Manufacturing Durable goods Nondurable goods

Transportation and public utilities Wholesale and retail trade Finance, insurance, and real estate

Service industries Private households All other industries

Public administration

Self-employed workers Unpaid family workers


112,605

104,093

530

6,428

18,456 10,836

7,620

7,861 23,319

7,077

34,684 932

33,752 5,737

8,403 108

27,113

24,241

41

1,106

2,238 1,251

987

1,189 7,589 1,210

9,949 523

9,426 919

2,803 69

4,556

4,089

4

303

396 196 200

217 1,457

112

1,500 117

1,383 100

461 6

7,617

7,048

29

455

1,238 775 463

543 1,112

489

2,580 37

2,542 604

563 6

14,940

13,104

9

348

604 280 324

429 5,020

610

5,869 369

5,501 215

1,780 57

85,492

79,852

489

5,323

16,218 9,585 6,633

6,672 15,730 5,867

24,735 409

24,326 4,818

5,600 39

39.6

39.6

47.5

41.2

42.4 42.8 41.9

42.6 37.6 40.7

37.8 30.6 38.0 40.9

39.6 31.3

33



A-24. Persons at work in nonagricultural industries by age, sex, race, marital status, and usual full- or part-time status


Age, sex, race, and marital status

July 1995

Total at

work


Total For

economic


Usually work full

time



Average hours

Total at

work

TOTAL





Men, 16 years and over 16 to 19 years




Women, 16 years and over 16 to 19 years




Race

White, 16 years and over Men Women

Black, 16 years and over Men Women

Marital status

Men, 16 years and over: Married, spouse present Widowed, divorced, or separated Single (never married)

Women, 16 years and over: Married, spouse present Widowed, divorced, or separated Single (never married)

112,605 7,206 2,972 4,235

105,399 12,157 93,242 80,616 12,626

61,982 3,716 1,561 2,156

58,266 6,541

51,725 44,646

7,078

50,623 3,490 1,411 2,079

47,133 5,615

41,517 35,969

5,548

95,859 53,411 42,448

12,053 5,973 6,079

37,628 6,818

17,536

26,631 10,140 13,852

27,113 4,275 2,196 2,078

22,839 3,464

19,375 15,305 4,069

10,443 1,996 1,100

897 8,447 1,441 7,006 5,200 1,805

16,670 2,278 1,097 1,182

14,392 2,022

12,369 10,105

2,264

23,492 8,933

14,560

2,594 1,067 1,527

4,810 1,018 4,616

9,000 2,575 5,095

4,556 787 307 481

3,769 847

2,922 2,527

394

2,124 409 168 241

1,715 426

1,289 1,091

198

2,432 378 138 240

2,054 421

1,633 1,436

197

3,739 1,750 1,989

570 255 315

795 236

1,092

933 528 971

7,617 257

83 175

7,359 675

6,684 5,914

770

3,892 138 42 96

3,754 282

3,472 2,999

473

3,725 120 41 79

3,605 392

3,213 2,915

298

6,600 3,395 3,205

762 370 392

2,502 462 928

2,140 724 861

14,940 3,230 1,807 1,423

11,710 1,942 9,769 6,864 2,905

4,428 1,450

890 560

2,978 733

2,245 1,110 1,135

10,513 1,780

918 862

8,733 1,209 7,524 5,754 1,770

13,153 3,787 9,365

1,262 442 820

1,513 320

2,596

5,927 1,322 3,263

85,492 2,931

775 2,156

82,560 8,693

73,867 65,310

8,557

51,539 1,720

461 1,259

49,819 5,100

44,719 39,446

5,273

33,953 1,212

314 897

32,741 3,593

29,148 25,864 3,284

72,367 44,478 27,889

9,459 4,906 4,552

32,818 5,800

12,920

17,631 7,566 8,756

39.6 29.9 25.8 32.7 40.2 37.8 40.5 41.2 36.7

42.5 31.5 26.7 34.9 43.2 40.0 43.6 44.3 39.3

35.9 28.2 24.8 30.5 36.5 35.1 36.7 37.2 33.3

39.7 42.8 35.7

38.8 40.5 37.2

44.1 43.0 39.0

35.5 38.2 35.1

34



A-25. Persons at work in nonfarm occupations by sex and usual full- or part-time status


Occupation and sex

July 1995

Total at

work


Total For

economic reasons


Usually work full

time



Average hours

Total at

work

Total, 16 years and over1






Men, 16 years and over1






Women, 16 years and over1






112,276

31,062 16,483 14,578 35,578 3,855

14,496 17,226 16,080

805 2,209

13,067 12,896 16,660 6,917 4,741 5,001

61,545

17,242 9,596 7,646

13,072 1,955 7,387 3,730 6,623

38 1,864 4,722

11,788 12,819 4,416 4,408 3,994

50,731

13,820 6,887 6,932

22,505 1,900 7,109

13,496 9,457

767 345

8,346 1,108 3,841 2,501

333 1,007

27,001

5,734 2,192 3,543 9,868

880 4,274 4,714 6,288

449 423

5,417 1,882 3,228 1,051 684

1,493

10,258

2,221 1,003 1,217 2,309 281

1,299 728

1,886 24 327

1,535 1,601 2,242 548 557

1,137

16,743

3,514 1,188 2,325 7,560 598

2,975 3,986 4,403 425 96

3,882 281 986 504 127 356

4,507

569 174 395

1,364 105 661 598

1,287 106 81

1,100 412 874 282 149 443

2,087

259 89 170 385 40 225 120 439 5 67 366 370 635 157 129 349

2,420

310 85 226 980 66 436 478 848 101 14

734 43 239 125 20 95

7,570

2,355 1,111 1,244 2,361 288 726

1,347 935 33 186 716 986 932 444 187 301

3,834

1,169 599 570 716 122 333 261 404 5

154 245 866 679 249 172 258

3,735

1,186 512 674

1,646 167 393

1,086 531 28 33 471 120 253 195 16 43

14,925

2,810 907

1,903 6,142 486

2,888 2,769 4,066 310 155

3,602 483

1,422 326 347 749

4,337

793 315 478

1,208 120 742 347

1,043 13 105 924 365 929 142 256 531

10,587

2,017 592

1,426 4,934 366

2,146 2,422 3,024 297 50

2,678 119 493 184 91 218

85,275

25,327 14,292 11,036 25,709 2,975 10,222 12,512 9,792 356

1,786 7,650 11,014 13,432 5,866 4,058 3,508

51,287

15,021 8,593 6,429 10,764 1,674 6,088 3,002 4,738

14 1,537 3,186 10,187 10,577 3,869 3,851 2,857

33,988

10,306 5,699 4,607

14,946 1,302 4,134 9,510 5,054

342 249

4,463 827

2,855 1,997

207 652

39.6

42.0 44.0 39.7 38.1 39.5 39.4 36.6 35.1 31.0 42.2 34.2 42.2 40.6 40.5 44.3 37.1

42.6

44.9 46.1 43.4 42.6 42.4 44.2 39.5 38.4

43.3 36.6 42.6 41.6 41.8 45.0 37.6

35.9

38.4 41.0 35.7 35.4 36.5 34.5 35.8 32.8 31.1 36.3 32.8 37.4 37.1 38.2 35.0 35.0

1 Excludes farming, forestry, and fishing occupations. 2 Data not shown where base is less than 75,000.

35



A-26. Unemployed persons by marital status, race, age, and sex

Marital status, race, and age

Men


July 1994

July 1995

Unemployment rates

July 1994

July 1995

Women


July 1994

July 1995

Unemployment rates

July 1994

Total, 16 years and over Married, spouse present Widowed, divorced, or separated Single (never married)

White, 16 years and over .... Married, spouse present Widowed, divorced, or separated Single (never married)

Black, 16 years and over .... Married, spouse present Widowed, divorced, or separated Single (never married)

Total, 25 years and over Married, spouse present Widowed, divorced, or separated Single (never married)

White, 25 years and over .... Married, spouse present Widowed, divorced, or separated Single (never married)

Black, 25 years and over .... Married, spouse present Widowed, divorced, or separated Single (never married)

4,409 1,431

601 2,377

3,224 1,132

431 1,661

913 179 140 594

2,732 1,335

578 819

2,050 1,058

412 580

510 171 139 200

3,993 1,393

515 2,085

2,868 1,114

392 1,363

867 192

96 579

2,420 1,281

483 656

1,848 1,030

368 450

434 166

94 175

6.1 3.3 7.4

11.2

5.2 3.0 6.4 9.6

12.6 5.5

12.4 20.5

4.6 3.2 7.3 8.2

4.0 2.9 6.3 7.2

8.9 5.5

12.5 13.5

5.5 3.2 6.4 9.8

4.6 2.9 5.9 7.9

11.8 5.9 8.8

19.3

4.0 3.1 6.2 6.5

3.6 2.8 5.7 5.6

7.5 5.3 8.7

11.0

3,872 1,376

786 1,710

2,843 1,188

579 1,076

826 111 171 543

2,484 1,208

727 549

1,898 1,033

526 338

465 105 168 192

3,899 1,438

771 1,690

2,783 1,191

573 1,019

915 180 164 571

2,410 1,285

695 431

1,789 1,056

516 218

495 167 154 175

6.4 4.3 6.6

10.4

5.6 4.2 6.1 8.4

10.9 4.6 8.4

17.7

5.0 4.0 6.3 7.5

4.6 3.8 5.7 6.3

7.7 4.5 8.5

11.2

36


A-27. Unemployed persons by occupation and sex


Occupation


Total

July 1994

July 1995

Unemployment rates

Total

July 1994

July 1995

Men

July 1994

July 1995

Women

July 1994





Precision production, craft, and repair Mechanics and repairers Construction trades Other precision production, craft, and repair

Operators, fabricators, and laborers Machine operators, assemblers, and inspectors Transportation and material moving occupations Handlers, equipment cleaners, helpers, and laborers

Construction laborers Other handlers, equipment cleaners, helpers, and laborers


No previous work experience 16 to 19 years 20 to 24 years 25 years and over

8,281

965 377 588

1,902 102 874 925

1,587 101 113

1,373

739 165 385 189

1,817 720 373 724 160 564

347

876 639 137 99

7,892

1,011 398 613

1,784 118 837 828

1,489 90

100 1,299

844 168 495 181

1,616 715 336 565 116 449

279

838 642 96 99

6.2

2.8 2.2 3.3

4.8 2.5 5.5 4.7

8.3 10.3 4.7 8.8

5.1 3.5 6.8 4.6

9.1 8.5 6.7

12.1 15.9 11.3

7.7

5.9

2.8 2.2 3.3

4.5 2.8 5.2 4.3

8.0 9.7 4.1 8.5

5.8 3.7 8.5 4.3

8.2 8.6 6.1 9.7

11.1 9.4

6.3

6.1

2.5 1.9 3.2

4.0 2.3 4.0 5.0

9.3 (2) 4.7

10.9 4.9 3.3 6.8 3.9

8.7 7.6 6.6

12.1 16.2 11.1

7.4

5.5

2.5 2.1 2.9

3.5 2.0 3.4 4.4

7.6 (2) 4.0 8.9 5.7 3.6 8.4 3.9

7.2 6.1 5.7 9.9

10.5 9.7

6.0

6.4

3.1 2.6 3.5

5.3 2.7 7.1 4.7

7.7 10.5 4.3 7.6

6.9 6.9 6.9 6.9

10.3 10.0 8.5

11.9 (2)

12.0

8.8

1 Includes a small number of persons whose last job was in the Armed Forces.


37



A-28. Unemployed persons by industry and sex

Industry


Total

July 1994

July 1995

Unemployment rates

Total

July 1994

July 1995

Men

July 1994

July 1995

Women

July 1994


Nonagricultural private wage and salary workers

Mining Construction

Manufacturing Durable goods

Lumber and wood products Furniture and fixtures Stone, clay, and glass products Primary metal industries Fabricated metal products Machinery and computing equipment Electrical machinery, equipment, and supplies Transportation equipment

Automobiles Other transportation equipment

Professional and photographic equipment Other durable goods industries

Nondurable goods Food and kindred products Textile mill products Apparel and other textile products Paper and allied products Printing and publishing Chemicals and allied products Rubber and miscellaneous plastics products Other nondurable goods industries ,

Transportation and public utilities Transportation Communications and other public utilities

Wholesale and retail trade Wholesale trade Retail trade ,

Finance, insurance, and real estate Service industries

Professional services Other service industries

Agricultural wage and salary workers Government, self-employed, and unpaid family workers No previous work experience

8,281

6,170

41 585

1,171 663

53 47 46 26 88 94 79

167 93 74 27 35

508 98 45

124 40

111 44 31 14

368 272

96 1,951

259 1,692

274 1,780

759 1,021

232 1,004

876

7,892

5,918

20 600

1,115 601

31 30 16 32 80 75 91

162 110 52 36 48

514 120 52

105 24 82 46 63 22

340 239 101

1,743 176

1,567 258

1,842 706

1,137

193 942 838

6.2

6.2

5.9 9.1

5.6 5.5 7.2 7.1 8.1 3.2 6.4 3.8 4.2 7.4 7.6 7.2 3.9 5.9 5.8 5.0 7.2

12.0 4.9 6.1 3.4 3.8 4.1

5.1 6.3 3.3 7.5 5.5 7.9 3.6 5.7 4.1 8.0

10.9 3.4

5.9

5.8

3.3 9.0

5.3 4.9 4.2 4.7 2.7 3.8 5.9 3.1 4.5 7.1 8.3 5.3 4.6 7.9 5.9 6.6 8.0

10.4 3.0 4.5 3.5 7.0 5.7

4.8 5.5 3.6 6.7 3.6 7.3 3.4 5.7 3.7 8.4

8.6 3.2

6.1

6.2

6.0 9.5

4.9 5.2 8.0 6.3 9.2 3.1 5.5 3.5 2.8 7.3 7.8 6.7 2.7 5.0 4.5 4.9 7.0 8.8 4.9 5.2 2.4 2.2 3.1

5.6 6.8 3.5 7.2 5.3 7.8 3.3 5.9 4.2 7.3

11.0 3.1

5.5

5.6

3.6 9.2

4.3 4.1 4.0 5.2 3.0 2.8 4.3 3.1 3.7 6.3 7.3 5.0 1.7 6.1 4.6 6.4 4.9 4.9 2.9 5.2 1.7 6.6 2.7

4.6 5.2 3.6 5.8 2.8 6.7 3.1 6.1 3.8 8.0

7.7 2.5

6.4

6.2

4.9 4.8

7.1 6.3 1.9 8.7 3.8 3.9 9.3 4.8 6.0 7.9 7.0 9.3 5.6 8.8 7.7 5.3 7.3

13.1 5.0 7.3 5.3 6.7 6.6

3.7 4.7 2.9 7.9 5.9 8.1 3.8 5.6 4.1 8.8

10.4 3.7

38



Table A-29. Unemployed persons by reason for unemployment, sex, age, and race


Reason


July 1994

July 1995


July 1994

July 1995


July 1994

July 1995

Both sexes, 16 to 19

years

July 1994

July 1995

White

July 1994

July 1995

Black


Total unemployed Job losers and persons who completed temporary jobs .


Permanent job losers Persons who completed temporary jobs



Total unemployed Job losers and persons who completed temporary jobs



UNEMPLOYED AS A PERCENT OF THE CIVILIAN LABOR FORCE

Job losers and persons who completed temporary jobs Job leavers Reentrants New entrants

8,281 3,701 950

2,751 2,016 735 797

2,907 876

100.0 44.7 11.5 33.2 9.6

35.1 10.6

2.8 .6

2.2 •7

7,892 3,470 1,094 2,376 1,693 683 861

2,723 838

100.0 44.0 13.9 30.1 10.91 34.5| 10.6

2.6 .6

2.0 .6

3,503 2,091 475

1,616 1,200 416 382 942 87

100.0 59.7 13.6| 46.1 10.9 26.9 2.5

3.1 .6 1.4 .1

3,077 1,917 495

1,422 1,021 402 356 735 69

100.0 62.3 16.1 46.2 11.6 23.9 2.2

2.8 .5 1.1 .1

3,150 1,441 418

1,023 740 283 292

1,268 149

100.0 45.7 13.3 32.5 9.3

40.2 4.7

2.6 .5

2.3 ■3

3,100 1,343 541 801 581 221 392

1,238 127

100.0 43.3 17.5| 25.9 12.7 39.9 4.1

2.3 .7

2.2 .2

1,628 169 57

112 76 36

123 697 639

100.0 10.4 3.5 6.9 7.5

42.8 39.3

1.8 1.3 7.5 6.9

1,715 210 58

152 92 61

114 749 642

100.0 12.3 3.4 8.9 6.6

43.7 37.4

2.2 1.2 7.7 6.6

6,067 2,891 757

2,134 1,591 543 655

1,985 536

100.0 47.6 12.5 35.2 10.8 32.7 8.8

2.6 .6 1.8 .5

5,651 2,663 894

1,769 1,300 469 694

1,782 513

100.0 47.1 15.8 31.3 12.3 31.5 9.1

2.3 .6 1.6 .5

39



A-30. Unemployed persons by reason for unemployment, sex, age, and duration of unemployment

(Percent distribution)

Reason, sex, and age

July 1995

Total unemployed

Thousands of persons Percent

Duration of unemployment

Less than 5 weeks

5 to 14 weeks

15 weeks and over

Total 15 to 26 weeks

27 weeks and over

















7,892

3,470 1,094 2,376 1,693 683 861

2,723 838

3,077

1,917 495

1,422 1,021 402 356 735 69

3,100

1,343 541 801 581 221 392

1,238 127

1,715

210 58 152 92 61 114 749 642

100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

36.8

41.0 62.7 30.9 27.8 38.6 40.1 32.3 30.4

34.8

39.7 67.7 30.0 28.3 34.4 33.8 23.7 0

37.0

39.2 54.9 28.5 23.8 41.1 40.0 34.0 33.6

40.0

63.6 O 52.0 48.4 O

60.2 37.9 31.0

35.2

30.3 27.4 31.6 30.6 34.0 35.2 36.3 51.9

29.4

28.2 22.7 30.1 27.7 36.3 36.5 28.5 O

34.2

33.1 34.0 32.4 33.1 30.6 36.6 34.2 39.7

47.3

31.4 0

41.0 47.5 0 25.9 47.5 56.0

28.0

28.8 9.9

37.5 41.5 27.4 24.7 31.4 17.6

35.8

32.0 9.6

39.8 44.0 29.3 29.7 47.8 O 28.8

27.8 11.1 39.0 43.1 28.3 23.4 31.8 26.8

12.7

5.0 (1) 7.0 4.1 O 13.9 14.6 12.9

11.6

12.7 6.1

15.7 17.5 11.4 11.8 11.4 7.8

14.0

14.0 6.6

16.5 18.4 11.7 11.1 14.8 0 12.3

12.4 6.3

16.5 18.1 12.6 13.1 12.3 9.4

6.2

2.8 O 3.8 2.7 O 9.3 6.5 6.3

16.4

16.1 3.8

21.7 24.1 15.9 13.0 20.0

9.8

21.9

18.1 3.0

23.3 25.5 17.5 18.6 33.0 0 16.5

15.4 4.9

22.5 25.1 15.8 10.3 19.5 17.4

6.6

2.3 O 3.2 1.4 O 4.6 8.0 6.6


A-31. Unemployed total and full-time workers by duration of unemployment

Duration of unemployment


Less than 5 weeks 5 to 14 weeks

5 to 10 weeks 11 to 14 weeks

15 weeks and over 15 to 26 weeks 27 weeks and over


Average (mean) duration, in weeks Median duration, in weeks

Total


July 1994

8,281

3,104 2,484 1,833

651 2,692 1,081 1,611

621 990

18.1 8.1

July 1995

7,892

2,901 2,778 2,056

722 2,213

917 1,295

611 685

15.7 7.8


July 1994

100.0

37.5 30.0 22.1 7.9

32.5 13.1 19.5 7.5

12.0

July 1995

100.0

36.8 35.2 26.1 9.1

28.0 11.6 16.4 7.7 8.7

Full-time workers


July 1994

6,952

2,473 2,047 1,494

553 2,432

938 1,494

558 936

19.5 8.8

July 1995

6,418

2,223 2,244 1,649

595 1,951

801 1,150

553 597

16.7 8.4


July 1994

100.0

35.6 29.4 21.5 8.0

35.0 13.5 21.5 8.0

13.5

July 1995

100.0

34.6 35.0 25.7 9.3

30.4 12.5 17.9 8.6 9.3

_

40



A-32. Unemployed persons by age, sex, race, marital status, and duration of unemployment

Sex, age, race, and marital status

July 1995


Total Less than

5 weeks 5 to 14 weeks

15 weeks and over


27 weeks and over

Weeks

Average (mean) duration

TOTAL

Total, 16 years and over 16 to 19 years 20 to 24 years 25 to 34 years 35 to 44 years 45 to 54 years 55 to 64 years 65 years and over

Men, 16 years and over 16 to 19 years 20 to 24 years 25 to 34 years 35 to 44 years 45 to 54 years 55 to 64 years 65 years and over

Women, 16 years and over 16 to 19 years 20 to 24 years 25 to 34 years 35 to 44 years 45 to 54 years 55 to 64 years 65 years and over

Race

White, 16 years and over Men Women

Black, 16 years and over Men Women

Marital status

Men, 16 years and over: Married, spouse present Widowed, divorced, or separated ... Single (never married)

Women, 16 years and over: Married, spouse present Widowed, divorced, or separated ... Single (never married)

7,892 1,715 1,346 1,809 1,558

852 447 166

3,993 916 657 912 744 445 234

84

3,899 799 690 897 813 406 213

81

5,651 2,868 2,783

1,782 867 915

1,393 515

2,085

1,438 771

1,690

2,901 685 550 613 579 294 138 42

1,418 349 266 297 280 142

67 16

1,483 336 284 316 300 151

70 26

2,214 1,044 1,171

511 278 233

477 176 766

567 280 635

2,778 811 453 627 490 221 120 56

1,356 450 209 294 209 103 59 31

1,422 361 244 333 281 118 61 25

1,954 967 987

697 304 393

426 158 772

491 251 680

2,213 219 343 568 489 337 189 68

1,219 117 182 320 256 200 107 37

994 102 162 248 233 137 82 31

1,483 858 625

574 285 289

491 181 547

380 240 374

917 106 162 245 200 128 47 29

475 46 97 132 90 72 26 12

442 60 65 113 109 56 21 17

617 326 291

234 111 123

172 59

244

156 121 166

1,295 113 182 323 289 209 142 38

744 72 85 188 165 128 81 25

551 41 97 135 124 81 61 14

866 532 334

340 174 166

319 122 303

224 119 209

15.7 9.7 14.0 16.2 16.9 21.4 24.7 20.5

17.4 10.5 13.9 18.3 19.3 24.6 28.3 25.2

13.9 8.8 14.0 14.1 14.7 18.0 20.7 15.6

14.9 17.3 12.4

17.7 18.3 17.1

19.7 21.2 14.9

13.8 15.4 13.4

41



A-33. Unemployed persons by occupation, industry, and duration of unemployment

Occupation and industry

July 1995


Total Less than

5 weeks 5 to 14 weeks

15 weeks and over


27 weeks and over

Weeks

Average (mean) duration

Median duration

OCCUPATION

Managerial and professional specialty Technical, sales, and administrative support Service occupations Precision production, craft, and repair Operators, fabricators, and laborers Farming, forestry, and fishing

INDUSTRY1

Agriculture Construction Manufacturing


Transportation and public utilities Wholesale and retail trade Finance, insurance, and real estate Services Public administration

No previous work experience

1,011 1,784 1,489 844

1,616 279

193 612

1,118 601 517 357

1,751 271

2,225 143

838

376 661 570 319 572 143

88 229 407 242 165 108 679 86 858 37

255

332 616 519 238 536 84

78 181 358 171 188 130 611 79 753 47

435

303 506 400 287 508 52

28 202 352 188 164 120 462 106 614 58

148

118 244 174 107 191 16

6 67 138 59 78 46 212 51 276 16

65

184 262 226 180 317 36

22 135 215 128 86 74 249 55 337 43

82

16.8 14.7 15.5 18.8 17.1 12.4

10.2 18.0 16.8 17.8 15.5 19.6 14.9 16.6 15.0 22.2

11.9

8.1 8.0 7.4 8.6 8.5 4.4

5.6 8.6 8.5 8.3 8'.7 8.8 7.5

10.4 7.5

11.7

7.2

Includes wage and salary workers only.

A-34. Persons not in the labor force by desire and availability for work, age, and sex

(In thousands)

Category

Total

July 1994

July 1995

Age

16 to 24 years

July 1994

July 1995

25 to 54 years

July 1994

July 1995

55 years and over

July 1994

July 1995

Sex

Men

July 1994

July 1995

Women

July 1994

July 1995

Total not in the labor force Do not want a job now1

Want a job1

Did not search for work in previous year. Searched for work in previous year2

Not available to work now Available to work now

Reason not currently looking: Discouragement over job prospects3

Reasons other than discouragement Family responsibilities In school or training Ill health or disability Other4

64,076 58,050 6,026 3,482 2,544 699

1,844

542 1,302 246 174 140 743

64,175 58,882 5,292 3,046 2,247 679

1,568

456 1,112 173 107 114 717

8,447 6,437 2,010 1,075 935 238 697

187 511 51 132 15

313

8,334 6,516 1,817 966 852 292 560

156 404 34 74 25 271

19,212 16,216 2,996 1,650 1,346 410 936

294 643 170 42 86 344

19,185 16,577 2,608 1,451 1,157

336 821

210 611 131 30 72 378

36,417 35,397 1,020 758 262 52 210

61 149 24

39 85

36,656 35,789

867 629 238 51 187

90 97 7 4 17 69

22,319 20,125 2,194 1,110 1,084 228 856

324 532 48 97 51 337

22,448 20,411 2,036 1,060 976 241 735

290 445 18 44 52 331

41,757 37,925 3,832 2,372 1,460 471 988

218 771 198 77 89 406

41,727 38,471 3,256 1,985 1,271 438 832

166 666 155 64 62 386

1 Includes some persons who are not asked if they want a job. 2 Persons who had a job in the prior 12 months must have searched since

the end of that job. 3 Includes believes no work available, could not find work, lacks necessary

schooling or training, employer thinks too young or old, and other types of

discrimination. 4 Includes those who did not actively look for work in the prior 4 weeks for

such reasons as child care and transportation problems, as well as a small number for which reason for nonparticipation was not ascertained.

42



A-35. Multiple jobholders by selected demographic and economic characteristics


Characteristic

Both sexes

Number

July 1994

July 1995

Rate1

July 1994

July 1995

Men

Number

July 1994

July 1995

Rate1

July 1994

July 1995

Women

Number

July July 1995

Rate1

July July 1995

AGE


16 to 19 years 20 years and over 20 to 24 years 25 years and over

25 to 54 years 55 years and over 55 to 64 years 65 years and over

RACE AND HISPANIC ORIGIN

White Black Hispanic origin

MARITAL STATUS

Married, spouse present Widowed, divorced, or separated Single (never married)

FULL- OR PART-TIME STATUS

Primary job full time, secondary job part time.... Primary and secondary jobs both part time Primary and secondary jobs both full time Hours vary on primary or secondary job

7,172 532

6,640 946

5,694 5,103

590 501 89

3,307 644 291

3,923 1,063 2,186

4,023 1,529

284 1,302

7,779 600

7,179 916

6,263 5,692

5721 483

6,859 690] 394

4,228 1,151 2,401

4,476 1,626|

302 1,325

5.8 6.9 5.7 7.1 5.5 5.7 4.0 4.5 2.5

5.9 4.9 2.7

5.4 5.7 6.5

6.1 7.5 6.1 7.0 5.9 6.3 3.8 4.3 2.5

6.3 5.2 3.5

5.7 6.1 7.0

3,853 249

3,604 419

3,186 2,812

373 313

60

3,389 338 180

2,422 374

1,057

2,419 497 204 720

4,341 296

4,045 481

3,564 3,242

322 274 48

3,832 382 250

2,670 425

1,246

2,745 592 217 761

5.7 6.2 5.7 5.9 5.6 5.8 4.6 5.1 2.9

5.8 5.3 2.7

5.9 4.9 5.6

6.3 7.0 6.3 6.8 6.2 6.6 3.9 4.4 2.4

6.5 5.9 3.6

6.3 5.6 6.5

3,319 283

3,036 j 527

2,508 2,291

217 188 29

2,918 3061 111

1,501 689

1,129

1,604 1,032

80 582

3,439 305

3,134 435

2,699 2,450

250 210

40

3,026 308 144

1,558 7261

1,155

1,732 1,034

85 564

5.8 7.7 5.7 8.5 5.3 5.7 3.3 3.8 1.9

6.1 4.6 2.6

4.9 6.2 7.6

5.9 8.1 5.8 7.3 5.6 5.9 3.8 4.1 2.6

6.2 4.5 3.2

4.9 6.5 7.7

1 Multiple jobholders as a percent of all employed persons in specified group.

2 Includes a small number of persons who work part time on their primary job and full time on their secondary jobs(s), not shown separately.

NOTE: Detail for the above race and Hispanic-origin groups will not sum to totals because data for the "other races" group are not presented and Hispanics are included in both the white and black population groups.

A-36. Employment status of male Vietnam-era veterans and nonveterans by age


Veteran status and age


population

July 1994

July 1995


Total

July 1994

July 1995

Employed

July July 1995

Unemployed

Number

July 1994

July 1995

Percent of labor force

July 1994

July 1995

VIETNAM-ERA VETERANS



55 years and over

NONVETERANS

Total, 40 to 54 years 40 to 44 years 45 to 49 years 50 to 54 years

7,403 6,506 1,854 3,183 1,468

898

16,230 7,503 4,772 3,955

7,593 6,511 1,496 3,175 1,840 1,082

17,230 8,020 5,203 4,007

6,508 6,016 1,711 2,960 1,346

492

14,606 6,985 4,272 3,348

6,639 5,938 1,361 2,910 1,667

701

15,533 7,409 4,698 3,425

6,240 5,756 1,612 2,837 1,308

484

14,027 6,738 4,104 3,184

6,362 5,682 1,277 2,794 1,611

679

15,004 7,131 4,562 3,310

268 260

99 123 38 8

580 247 169 164

278 256 84

116 56 22

529 278 136 115

4.1 4.3 5.8 4.2 2.8 1.6

4.0 3.5 3.9 4.9

4.2 4.3 6.2 4.0 3.4 3.1

3.4 3.7 2.9 3.4

NOTE: Male Vietnam-era veterans are men who served in the Armed Forces between August 5, 1964 and May 7, 1975. Nonveterans

are men who have never served in the Armed Forces.

43


ESTABLISHMENT DATA HISTORICAL EMPLOYMENT

B-1. Employees on nonfarm payrolls by major industry, 1945 to date

(In thousands)

Total private

Goods-producing

Total Mining Construction

Manufacturing

Service-producing

Total

Transportation and

public utilities

Wholesale trade

Retail trade

Finance, insurance,

and real

estate

Services

Government

Federal

Annual averages 40,374 41,652 43,857 44,866 43,754

45,197 47,819 48,793 50,202 48,990 50,641 52,369 52,855 51,322 53,270

54,189 53,999 55,549 56,653 58,283 60,763 63,901 65,803 67,897 70,384

70,880 71,211 73,675 76,790 78,265 76,945 79,382 82,471 86,697 89,823

90,406 91,152 89,544 90,152 94,408 97,387 99,344 101,958 105,210 107,895

109,419 108,256 108,604 110,730 114,034

34,431 36,056 38,382 39,216 37,897

39,170 41,430 42,185 43,556 42,238 43,727 45,091 45,239 43,483 45,186

45,836 45,404 46,660 47,429 48,686 50,689 53,116 54,413 56,058 58,189

58,325 58,331 60,341 63,058 64,095 62,259 64,511 67,344 71,026 73,876

74,166 75,121 73,707 74,282 78,384 80,992 82,651 84,948 87,824 90,117

91,115 89,854 89,959 91,889 94,917

17,507 17,248 18,509 18,774 17,565

18,506 19,959 20,198 21,074 19,751 20,513 21,104 20,967 19,513 20,411

20,434 19,857 20,451 20,640 21,005 21,926 23,158 23,308 23,737 24,361

23,578 22,935 23,668 24,893 24,794 22,600 23,352 24,346 25,585 26,461

25,658 25,497 23,812 23,330 24,718 24,842 24,533 24,674 25,125 25,254

24,905 23,745 23,231 23,352 23,913

836 862 955 994 930

901 929 898 866 791 792 822 828 751 732

712 672 650 635 634 632 627 613 606 619

623 609 628 642 697 752 779 813 851 958

1,027 1,139 1,128 952 966 927 777 717 713 692

709 689 635 610 600

1,147 1,683 2,009 2,198 2,194

2,364 2,637 2,668 2,659 2,646 2,839 3,039 2,962 2,817 3,004

2,926 2,859 2,948 3,010 3,097 3,232 3,317 3,248 3,350 3,575

3,588 3,704 3,889 4,097 4,020 3,525 3,576 3,851 4,229 4,463

4,346 4,188 3,904 3,946 4,380 4,668 4,810 4,958 5,098 5,171

5,120 4,650 4,492 4,668 5,010

15,524 14,703 15,545 15,582 14,441

15,241 16,393 16,632 17,549 16,314 16,882 17,243 17,176 15,945 16,675

16,796 16,326 16,853 16,995 17,274 18,062 19,214 19,447 19,781 20,167

19,367 18,623 19,151 20,154 20,077 18,323 18,997 19,682 20,505 21,040

20,285 20,170 18,780 18,432 19,372 19,248 18,947 18,999 19,314 19,391

19,076 18,406 18,104 18,075 18,303

22,869 24,404 25,348 26,092 26,189

26,691 27,860 28,595 29,128 29,239 30,128 31,264 31,889 31,811 32,857

33,755 34,142 35,098 36,013 37,278 38,839 40,743 42,495 44,158 46,023

47,302 48,276 50,007 51,897 53,471 54,345 56,030 58,125 61,113 63,363

64,748 65,655 65,732 66,821 69,690 72,544 74,811 77,284 80,086 82,642

84,514 84,511 85,373 87,378 90,121

3,906 4,061 4,166 4,189 4,001

4,034 4,226 4,248 4,290 4,084 4,141 4,244 4,241 3,976 4,011

4,004 3,903 3,906 3,903 3,951 4,036 4,158 4,268 4,318 4,442

4,515 4,476 4,541 4,656 4,725 4,542 4,582 4,713 4,923 5,136

5,146 5,165 5,081 4,952 5,156 5,233 5,247 5,362 5,514 5,625

5,793 5,762 5,721 5,829 6,006

1,955 2,298 2,478 2,612 2,610

2,643 2,735 2,821 2,862 2,875 2,934 3,027 3,037 2,989 3,092

3,153 3,142 3,207 3,258 3,347 3,477 3,608 3,700 3,791 3,919

4,006 4,014 4,127 4,291 4,447 4,430 4,562 4,723 4,985 5,221

5,292 5,375 5,295 5,283 5,568 5,727 5,761 5,848 6,030 6,187

6,173 6,081 5,997 5,981 6,140

5,359 6,077 6,477 6,659 6,654

6,743 7,007 7,184 7,385 7,360 7,601 7,831 7,848 7,761 8,035

8,238 8,195 8,359 8,520 8,812 9,239 9,637 9,906

10,308 10,785

11,034 11,338 11,822 12,315 12,539 12,630 13,193 13,792 14,556 14,972

15,018 15,171 15,158 15,587 16,512 17,315 17,880 18,422 19,023 19,475

19,601 19,284 19,356 19,773 20,437

1,481 1,675 1,728 1,800 1,828

1,888 1,956 2.035 2,111 2,200 2,298 2,389 2,438 2,481 2,549

2,628 2,688 2,754 2,830 2,911 2,977 3,058 3,185 3,337 3,512

3,645 3,772 3,908 4,046 4,148 4,165 4,271 4,467 4,724 4,975

5,160 5,298 5,340 5,466 5,684 5,948 6,273 6,533 6,630 6,668

6,709 6,646 6,602 6,757 6,933

4,222 4,697 5,025 5,181 5,239

5,356 5,547 5,699 5,835 5,969 6,240 6,497 6,708 6,765 7,087

7,378 7,619 7,982 8,277 8,660 9,036 9,498

10,045 10,567 11,169

11,548 11,797 12,276 12,857 13,441 13,892 14,551 15,302 16,252 17,112

17,890 18,615 19,021 19,664 20,746 21,927 22,957 24,110 25,504 26,907

27,934 28,336 29,052 30,197 31,488

2,808 2,254 1,892 1,863 1,908

1,928 2,302 2,420 2,305 2,188 2,187 2,209 2,217 2,191 2,233

2,270 2,279 2,340 2,358 2,348 2,378 2,564 2,719 2,737 2,758

2,731 2,696 2,684 2,663 2,724 2,748 2,733 2,727 2,753 2,773

2,866 2,772 2,739 2,774 2,807 2,875 2,899 2,943 2,971 2,988

3,085 2,966 2,969 2,915 2,870

Monthly data, seasonally adjusted

114,171 114,510 114,762 114,935 115,427 115,624

115,810 116,123 116,302 116,310 116,248 116,498 116,553

95,061 95,327 95,555 95,740 96,152 96,405

96,588 96,882 97,054 97,049 97,005 97,229 97,286

23,922 23,981 24,030 24,081 24,175 24,230

24,293 24,324 24,370 24,331 24,228 24,235 24,146

596 597 598 595 592 592

590 588 589 583 582 582 578

5,029 5,038 5,077 5,088 5,144 5,166

5,201 5,213 5,256 5,242 5,190 5,231 5,231

18,297 18,346 18,355 18,398 18,439 18,472

18,502 18,523 18,525 18,506 18,456 18,422 18,337

90,249 90,529 90,732 90,854 91,252 91,394

91,517 91,799 91,932 91,979 92,020 92,263 92,407

6,022 6,045 6,048 6,061 6,092 6,121

6,129 6,156 6,175 6,184 6,177 6,189 6,197

6,138 6,163 6,181 6,195 6,210 6,229

6,251 6,275 6,287 6,300 6,298 6,317 6,334

20,459 20,497 20,565 20,580 20,703 20,759

20,760 20,794 20,760 20,762 20,747 20,798 20,852

6,947 6,948 6,942 6,935 6,937 6,931

6,927 6,929 6,938 6,924 6,925 6,934 6,941

31,573 31,693 31,789 31,888 32,035 32,135

32,228 32,404 32,524 32,548 32,630 32,756 32,816

2,864 2,861 2,863 2,858 2,854 2,853

2,838 2,831 2,828 2,826 2,831 2,831 2,831

1 Not available. 2 Data include Alaska and Hawaii beginning in 1959. This inclusion resulted in an

increase of 212,000 (0.4 percent) in the nonfarm total for the March 1959 benchmark month.

p = preliminary.

NOTE: Establishment survey estimates are currently projected from March 1994 benchmark levels. When more recent benchmark data are introduced, all unadjusted data (beginning April 1994) and all seasonally adjusted data (beginning January 1991) are subject to revision.

45


ESTABLISHMENT DATA HISTORICAL HOURS AND EARNINGS

B-2. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by major industry, 1964 to date

Year and month

1964 1965 1966 1967 1968 1969

1970 1971 1972 1973 1974 1975 1976 1977 1978 1979

1980 1981 1982 1983 1984 1985 1986 1987 1988 1989

1990 1991 1992 1993 1994

1994: July August September October November December

1995: January February March April May Junep

Julyp

Total private1

Weekly hours

Hourly earnings

Weekly earnings

Mining

Weekly hours

Hourly earnings

Weekly earnings

Construction

Weekly hours

Hourly earnings

Weekly earnings

Annual averages

38.7 38.8 38.6 38.0 37.8 37.7

37.1 36.9 37.0 36.9 36.5 36.1 36.1 36.0 35.8 35.7

35.3 35.2 34.8 35.0 35.2 34.9 34.8 34.8 34.7 34.6

34.5 34.3 34.4 34.5 34.7

$2.36 2.46 2.56 2.68 2.85 3.04

3.23 3.45 3.70 3.94 4.24 4.53 4.86 5.25 5.69 6.16

6.66 7.25 7.68 8.02 8.32 8.57 8.76 8.98 9.28 9.66

10.01 10.32 10.57 10.83 11.13

$91.33 95.45 98.82

101.84 107.73 114.61

119.83 127.31 136.90 145.39 154.76 163.53 175.45 189.00 203.70 219.91

235.10 255.20 267.26 280.70 292.86 299.09 304.85 312.50 322.02 334.24

345.35 353.98 363.61 373.64 386.21

41.9 42.3 42.7 42.6 42.6 43.0

42.7 42.4 42.6 42.4 41.9 41.9 42.4 43.4 43.4 43.0

43.3 43.7 42.7 42.5 43.3 43.4 42.2 42.4 42.3 43.0

44.1 44.4 43.9 44.3 44.7

$2.81 2.92 3.05 3.19 3.35 3.60

3.85 4.06 4.44 4.75 5.23 5.95 6.46 6.94 7.67 8.49

9.17 10.04 10.77 11.28 11.63 11.98 12.46 12.54 12.80 13.26

13.68 14.19 14.54 14.60 14.89

$117.74 123.52 130.24 135.89 142.71 154.80

164.40 172.14 189.14 201.40 219.14 249.31 273.90 301.20 332.88 365.07

397.06 438.75 459.88 479.40 503.58 519.93 525.81 531.70 541.44 570.18

603.29 630.04 638.31 646.78 665.58

37.2 37.4 37.6 37.7 37.3 37.9

37.3 37.2 36.5 36.8 36.6 36.4 36.8 36.5 36.8 37.0

37.0 36.9 36.7 37.1 37.8 37.7 37.4 37.8 37.9 37.9

38.2 38.1 38.0 38.5 38.9

$3.55 3.70 3.89 4.11 4.41 4.79

5.24 5.69 6.06 6.41 6.81 7.31 7.71 8.10 8.66 9.27

9.94 10.82 11.63 11.94 12.13 12.32 12.48 12.71 13.08 13.54

13.77 14.00 14.15 14.38 14.72

$132.06 138.38 146.26 154.95 164.49 181.54

195.45 211.67 221.19 235.89 249.25 266.08 283.73 295.65 318.69 342.99

367.78 399.26 426.82 442.97 458.51 464.46 466.75 480.44 495.73 513.17

526.01 533.40 537.70 553.63 572.61

Monthly data, not seasonally adjusted

35.0 35.0 34.8 35.0 34.6 34.8

34.4 34.2 34.3 34.3 34.3 34.6 34.9

$11.05 11.05 11.22 11.28 11.27 11.28

11.36 11.36 11.36 11.41 11.38 11.36 11.41

$386.75 386.75 390.46 394.80 389.94 392.54

390.78 388.51 389.65 391.36 390.33 393.06 398.21

44.9 45.0 45.4 45.2 45.4 45.1

44.8 44.4 44.0 44.3 44.3 44.9 44.5

$14.73 14.69 14.92 14.91 14.97 15.09

15.25 15.26 15.24 15.31 15.21 15.24 15.30

$661.38 661.05 677.37 673.93 679.64 680.56

683.20 677.54 670.56 678.23 673.80 684.28 680.85

39.8 39.8 40.0 39.6 38.5 38.7

37.7 36.9 38.1 37.6 38.4 39.6 40.0

$14.75 14.79 14.97 15.05 14.87 14.83

14.67 14.82 14.84 14.88 14.96 14.99 15.09

$587.05 588.64 598.80 595.98 572.50 573.92

553.06 546.86 565.40 559.49 574.46 593.60 603.60


46



B-2. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by major industry, 1964 to date—Continued

Year and month

Manufacturing

Weekly hours

Hourly earnings

Hourly earnings, excluding overtime

Weekly earnings


Weekly hours

Hourly earnings

Weekly earnings

Wholesale trade

Weekly hours

Hourly earnings

Annual averages

1964 1965 1966 1967 1968 1969

1970 1971 1972 1973 1974 1975 1976 1977 1978 1979

1980 1981 1982 1983 1984 1985 1986 1987 1988 1989

1990 1991 1992 1993 1994


1995: January .... February ... March April May Junep

July"

40.7 41.2 41.4 40.6 40.7 40.6

39.8 39.9 40.5 40.7 40.0 39.5 40.1 40.3 40.4 40.2

39.7 39.8 38.9 40.1 40.7 40.5 40.7 41.0 41.1 41.0

40.8 40.7 41.0 41.4 42.0

41.6 42.0 42.4 42.3 42.5 42.9

42.0 41.7 41.7 40.4 41.4 41.6 40.8

$2.53 2.61 2.71 2.82 3.01 3.19

3.35 3.57 3.82 4.09 4.42 4.83 5.22 5.68 6.17 6.70

7.27 7.99 8.49 8.83 9.19 9.54 9.73 9.91

10.19 10.48

10.83 11.18 11.46 11.74 12.06

$12.04 12.01 12.14 12.10 12.17 12.26

12.23 12.24 12.25 12.29 12.28 12.30 12.40

$2.43 2.50 2.59 2.71 2.88 3.05

3.23 3.45 3.66 3.91 4.25 4.67 5.02 5.44 5.91 6.43

7.02 7.72 8.25 8.52 8.82 9.16 9.34 9.48 9.73 10.02

10.37 10.71 10.95 11.18 11.42

$102.97 107.53 112.19 114.49 122.51 129.51

133.33 142.44 154.71 166.46 176.80 190.79 209.32 228.90 249.27 269.34

288.62 318.00 330.26 354.08 374.03 386.37 396.01 406.31 418.81 429.68

441.86 455.03 469.86 486.04 506.52

41.1 41.3 41.2 40.5 40.6 40.7

40.5 40.1 40.4 40.5 40.2 39.7 39.8 39.9 40.0 39.9

39.6 39.4 39.0 39.0 39.4 39.5 39.2 39.2 38.8 38.9

38.9 38.7 38.9 39.6 39.9

$2.89 3.03 3.11 3.23 3.42 3.63

3.85 4.21 4.65 5.02 5.41 5.88 6.45 6.99 7.57 8.16

8.87 9.70

10.32 10.79 11.12 11.40 11.70 12.03 12.26 12.60

12.97 13.22 13.45 13.62 13.86

$118.78 125.14 128.13 130.82 138.85 147.74

155.93 168.82 187.86 203.31 217.48 233.44 256.71 278.90 302.80 325.58

351.25 382.18 402.48 420.81 438.13 450.30 458.64 471.58 475.69 490.14

504.53 511.61 523.21 539.35 553.01

40.7 40.8 40.7 40.3 40.1 40.2

39.9 39.4 39.4 39.2 38.8 38.6 38.7 38.8 38.8 38.8

38.4 38.5 38.3 38.5 38.5 38.4 38.3 38.1 38.1 38.0

38.1 38.1 38.2 38.2 38.4


$11.42 11.35 11.45 11.43 11.50 11.57

11.60 11.62 11.63 11.77 11.69 11.70 11.80

$500.86 504.42 514.74 511.83 517.23 525.95

513.66 510.41 510.83 496.52 508.39 511.68 505.92

40.3 40.2 40.1 40.2 39.8 39.6

39.4 39.3 39.1 39.6 39.2 39.5 40.1

$13.81 13.84 13.91 14.01 14.07 14.04

14.08 14.04 14.06 14.14 14.07 14.08 14.19

$556.54 556.37 557.79 563.20 559.99 555.98

554.75 551.77 549.75 559.94 551.54 556.16 569.02

38.4 38.3 38.4 38.7 38.4 38.5

38.2 38.1 38.0 38.3 38.1 38.3 38.5

$2.52 2.60 2.73 2.87 3.04 3.23

3.43 3.64 3.85 4.07 4.38 4.72 5.02 5.39 5.88 6.39

6.95 7.55 8.08 8.54 8.88 9.15 9.34 9.59 9.98

10.39

10.79 11.15 11.39 11.74 12.05

$12.04 12.00 12.09 12.20 12.15 12.21

12.30 12.28 12.25 12.45 12.32 12.32 12.43


47



B-2. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by major industry, 1964 to date—Continued

Year and month

Retail trade

Weekly hours

Hourly earnings

Weekly earnings


Weekly hours

Hourly earnings

Weekly earnings

Services

Weekly hours

Hourly earnings

Annual averages 1964 1965 1966 1967 1968 1969

1970 1971 1972 1973 1974 1975 1976 1977 1978 1979

1980 1981 1982 1983 1984 1985 1986 1987 1988 1989

1990 1991 1992 1993 1994


1995: January .... February... March April May June" J u l /

37.0 36.6 35.9 35.3 34.7 34.2

33.8 33.7 33.4 33.1 32.7 32.4 32.1 31.6 31.0 30.6

30.2 30.1 29.9 29.8 29.8 29.4 29.2 29.2 29.1 28.9

28.8 28.6 28.8 28.8 28.9

29.8 29.7 29.0 29.1 28.7 29.3

28.2 28.1 28.3 28.9 28.7 29.2 29.7

$1.75 1.82 1.91 2.01 2.16 2.30

2.44 2.60 2.75 2.91 3.14 3.36 3.57 3.85 4.20 4.53

4.88 5.25 5.48 5.74 5.85 5.94 6.03 6.12 6.31 6.53

6.75 6.94 7.12 7.29 7.49

$64.75 66.61 68.57 70.95 74.95 78.66

82.47 87.62 91.85 96.32

102.68 108.86 114.60 121.66 130.20 138.62

147.38 158.03 163.85 171.05 174.33 174.64 176.08 178.70 183.62 188.72

194.40 198.48 205.06 209.95 216.46

37.3 37.2 37.3 37.1 37.0 37.1

36.7 36.6 36.6 36.6 36.5 36.5 36.4 36.4 36.4 36.2

36.2 36.3 36.2 36.2 36.5 36.4 36.4 36.3 35.9 35.8

35.8 35.7 35.8 35.8 35.8

$2.30 2.39 2.47 2.58 2.75 2.93

3.07 3.22 3.36 3.53 3.77 4.06 4.27 4.54 4.89 5.27

5.79 6.31 6.78 7.29 7.63 7.94 8.36 8.73 9.06 9.53

9.97 10.39 10.82 11.35 11.83

$85.79 88.91 92.13 95.72

101.75 108.70

112.67 117.85 122.98 129.20 137.61 148.19 155.43 165.26 178.00 190.77

209.60 229.05 245.44 263.90 278.50 289.02 304.30 316.90 325.25 341.17

356.93 370.92 387.36 406.33 423.51

36.1 35.9 35.5 35.1 34.7 34.7

34.4 33.9 33.9 33.8 33.6 33.5 33.3 33.0 32.8 32.7

32.6 32.6 32.6 32.7 32.6 32.5 32.5 32.5 32.6 32.6

32.5 32.4 32.5 32.5 32.5


$7.46 7.44 7.54 7.57 7.57 7.59

7.64 7.63 7.63 7.65 7.65 7.65 7.67

$222.31 220.97 218.66 220.29 217.26 222.39

215.45 214.40 215.93 221.09 219.56 223.38 227.80

35.7 35.5 35.5 36.2 35.5 35.7

36.3 35.7 35.5 36.3 35.4 35.6 36.4

$11.72 11.73 11.85 12.02 11.98 12.05

12.17 12.19 12.21 12.32 12.24 12.21 12.33

$418.40 416.42 420.68 435.12 425.29 430.19

441.77 435.18 433.46 447.22 433.30 434.68 448.81

32.7 32.7 32.4 32.7 32.3 32.4

32.4 32.3 32.2 32.5 32.1 32.5 32.9

$1.94 2.05 2.17 2.29 2.42 2.61

2.81 3.04 3.27 3.47 3.75 4.02 4.31 4.65 4.99 5.36

5.85 6.41 6.92 7.31 7.59 7.90 8.18 8.49 8.88 9.38

9.83 10.23 10.54 10.78 11.05

$10.90 10.90 11.11 11.20 11.22 11.29

11.39 11.38 11.36 11.40 11.34 11.24 11.27

1 Data relate to production workers in mining and manufacturing; construction workers in construction; and nonsupervisory workers in transportation and public utilities; wholesale and retail trade; finance, insurance, and real estate; and services.

p = preliminary. NOTE: Establishment survey estimates are currently projected

from March 1994 benchmark levels. When more recent benchmark data are introduced, all unadjusted data from April 1994 forward are subject to revision.

48


ESTABLISHMENT DATA EMPLOYMENT

SEASONALLY ADJUSTED

B-3. Employees on nonfarm payrolls by major industry and selected component groups, seasonally adjusted

(In thousands)

Industry 1994


1995

Jan. Feb. Mar. Apr. May Junep Julyp

Total

Total private

Goods-producing

Mining1

Metal mining Oil and gas extraction Nonmetallic minerals, except fuels

Construction General building contractors Heavy construction, except building Special trade contractors

Manufacturing

Durable goods Lumber and wood products Furniture and fixtures Stone, clay, and glass products Primary metal industries

Blast furnaces and basic steel products

Fabricated metal products Industrial machinery and equipment...

Computer and office equipment Electronic and other electrical

equipment Electronic components and

accessories Transportation equipment

Motor vehicles and equipment Aircraft and parts

Instruments and related products Miscellaneous manufacturing

Nondurable goods Food and kindred products Tobacco 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 .... Leather and leather products

Service-producing

Transportation and public utilities Transportation

Railroad transportation Local and interurban passenger

transit Trucking and warehousing Water transportation Transportation by air Pipelines, except natural gas Transportation services

Communications and public utilities Communications Electric, gas, and sanitary services ....

Wholesale trade Durable goods Nondurable goods

114,171

95,061

23,922

596 49 332 103

5,029 1,199 743

3,087

18,297

10,422 755 504 533 700

240 1,390 1,983 352

1,570

545 1,736 893 475 859 392

7,875 1,681

42 673 969 692

1,544 1,060 148 953 113

90,249

6,022 3,794 240

415 1,813 171 744 17

394 2,228 1,305 923

6,138 3,544 2,594

114,510

95,327

23,981

597 49 333 103

5,038 1,206 738

3,094

18,346

10,465 757 504 534 699

238 1,396 1,992 350

1,581

549 1,751 908 473 859 392

7,881 1,679

42 674 972 691

1,547 1,057 150 956 113

90,529

6,045 3,810 237

425 1,819 168 746 18

397 2,235 1,314 921

6,163 3,555 2,608

114,762

95,555

24,030

598 49 336 103

5,077 1,214 740

3,123

18,355

10,481 758 504 535 704

239 1,397 1,995 348

1,586

552 1,753 913 469 857 392

7,874 1,677

41 671 971 689

1,547 1,056 149 960 113

90,732

6,048 3,813 240

418 1,824 168 746 18

399 2,235 1,314 921

6,181 3,564 2,617

114,935

95,740

24,081

595 49 331 104

5,088 1,222 734

3,132

18,398

10,513 761 505 537 708

239 1,405 1,999 345

1,589

554 1,761 921 467 854 394

7,885 1,677

41 674 970 692

1,550 1,055 149 965 112

90,854

6,061 3,821 240

417 1,828 167 748 18

403 2,240 1,320 920

6,195 3,574 2,621

115,427

96,152

24,175

592 49 328 104

5,144 1,234 740

3,170

18,439

10,550 766 507 539 712

240 1,412 2,006 344

1,595

556 1,764 924 465 854 395

7,889 1,683

41 674 963 692

1,551 1,054 149 970 112

91,252

6,092 3,846 242

421 1,843 165 750 18

407 2,246 1,325 921

6,210 3,587 2,623

115,624

96,405

24,230

592 50 326 104

5,166 1,241 739

3,186

18,472

10,574 766 507 540 715

240 1,421 2,010 342

1,603

560 1,764 926 462 853 395

7,898 1,684

41 673 960 692

1,556 1,054 150 975 113

91,394

6,121 3,870 241

425 1,857 164 754 18

411 2,251 1,331 920

6,229 3,599 2,630

115,810

96,588

24,293

590 50 325 105

5,201 1,250 742

3,209

18,502

10,596 767 508 542 716

239 1,428 2,017 341

1,608

563 1,764 932 459 850 396

7,906 1,690

40 672 957 693

1,557 1,055 147 982 113

91,517

6,129 3,886 241

428 1,864 166 754 17

416 2,243 1,327 916

6,251 3,615 2,636

116,123

96,882

24,324

588 51 323 105

5,213 1,250 740

3,223

18,523

10,622 766 509 545 718

240 1,435 2,025 340

1,613

565 1,766 934 457 849 396

7,901 1,689

40 671 951 692

1,561 1,054 148 983 112

91,799

6,156 3,900 242

431 1,871 165 756 17

418 2,256 1,343 913

6,275 3,631 2,644

116,302

97,054

24,370

589 51 323 106

5,256 1,258 747

3,251

18,525

10,633 767 509 547 718

240 1,439 2,029 336

1,614

569 1,767 937 455 847 396

7,892 1,690

39 670 946 691

1,561 1,053 148 982 112

91,932

6,175 3,914 242

433 1,877 164 760 17

421 2,261 1,351 910

6,287 3,643 2,644

116,310

97,049

24,331

583 51 319 105

5,242 1,255 743

3,244

18,506

10,632 761 506 546 719

240 1,442 2,036 337

1,616

571 1,766 938 455 846 394

7,874 1,687

40 669 940 692

1,557 1,051 146 981 111

91,979

6,184 3,919 242

437 1,879 164 759 17

421 2,265 1,355 910

6,300 3,650 2,650

116,248

97,005

24,228

582 51 320 104

5,190 1,237 730

3,223

18,456

10,611 757 501 542 718

241 1,439 2,034 336

1,620

574 1,761 936 452 846 393

7,845 1,687

39 664 931 690

1,555 1,048 145 976 110

92,020

6,177 3,910 240

439 1,872 161 758 17

423 2,267 1,359 908

6,298 3,653 2,645

116,498

97,229

24,235

582 52 320 104

5,231 1,242 737

3,252

18,422

10,594 753 497 544 716

241 1,432 2,040 337

1,620

577 1,754 934 449 845 393

7,828 1,694

40 659 920 689

1,561 1,044 145 968 108

92,263

6,189 3,918 238

441 1,877 159 762 17

424 2,271 1,365 906

6,317 3,665 2,652


49


ESTABLISHMENT DATA EMPLOYMENT SEASONALLY ADJUSTED

B-3. Employees on nonfarm payrolls by major industry and selected component groups, seasonally adjusted—Continued

(In thousands)

Industry 1994

July Aug. Sept. Oct. Nov. Dec,

1995

Jan. Feb. Mar. Apr. May Junep July"

Retail trade Building materials and garden supplies General merchandise stores

Department stores Food stores Automotive dealers and service

stations New and used car dealers

Apparel and accessory stores Furniture and home furnishings stores .. Eating and drinking places Miscellaneous retail establishments

Finance, insurance, and real estate Finance

Depository institutions Commercial banks Savings institutions

Nondepository institutions Security and commodity brokers Holding and other investment offices .

Insurance Insurance carriers Insurance agents, brokers, and

service Real estate

Services1

Agricultural services Hotels and other lodging places Personal services Business services

Services to buildings Personnel supply services

Help supply services Computer and data processing

services Auto repair, services, and parking Miscellaneous repair services Motion pictures Amusement and recreation services Health services

Offices and clinics of medical doctors Nursing and personal care facilities .... Hospitals Home health care facilities

Legal services Educational services Social services

Child day care services Residential care

Museums and botanical and zoological gardens

Membership organizations Engineering and management services

Engineering and architectural services Management and public relations

Government Federal

Federal, except Postal Service State

Education Other State government

Local Education Other local government

20,459 833

2,542 2,211 3,292

2,122 967

1,134 893

7,076 2,567

6,947 3,332 2,076 1,492

308 502 522 232

2,238 1,551

687 1,377

31,573 567

1,625 1,135 6,274

858 2,281 2,026

949 971 333 470

1,361 9,011 1,541 1,654 3,772

560 925

1,826 2,191

506 603

79 2,058 2,575

778 716

19,110 2,864 2,045 4,572 1,882 2,690

11,674 6,497 5,177

20,497 835

2,551 2,219 3,297

2,135 971

1,132 899

7,084 2,564

6,948 3,329 2,074 1,492

305 499 524 232

2,238 1,549

689 1,381

31,693 571

1,620 1,139 6,314

860 2,296 2,040

958 979 334 481

1,365 9,037 1,549 1,657 3,776

566 927

1,831 2,205

518 606

80 2,060 2,578

780 719

19,183 2,861 2,041 4,594 1,900 2,694

11,728 6,548 5,180

20,565 838

2,555 2,225 3,296

2,145 975

1,135 906

7,103 2,587

6,942 3,324 2,072 1,492

303 494 525 233

2,236 1,546

690 1,382

31,789 574

1,617 1,139 6,358

861 2,321 2,061

967 984 334 491

1,354 9,055 1,548 1,659 3,779

572 928

1,840 2,211

509 610

79 2,065 2,589

785 725

19,207 2,863 2,039 4,589 1,891 2,698

11,755 6,554 5,201

20,580 840

2,563 2,232 3,298

2,154 979

1,136 915

7,086 2,588

6,935 3,320 2,072 1,496

300 490 525 233

2,236 1,544

692 1,379

31,888 578

1,612 1,140 6,392

861 2,337 2,077

974 989 335 505

1,364 9,074 1,553 1,661 3,781

575 928

1,843 2,216

510 613

79 2,066 2,595

785 731

19,195 2,858 2,031 4,589 1,888 2,701

11,748 6,544 5,204

20,703 844

2,598 2,268 3,308

2,165 984

1,130 926

7,134 2,598

6,937 3,319 2,071 J 1,498

296 485 528 235

2,236 1,542

694 1,382

32,035 584

1,605 1,140 6,457

869 2,373 2,107

984 995 337 519

1,371 9,096 1,557 1,663 3,785

579 930

1,851 2,226

512 617

80 2,066 2,606

787 737

19,275 2,854 2,022 4,596 1,892 2,704

11,825 6,549 5,276

20,759 846

2,585 2,256 3,320

2,173 989

1,126 927

7,182 2,600

6,931 3,317 2,070 1,498

295 481 530 236

2,232 1,537

695 1,382

32,135 588

1,612 1,138 6,487

870 2,386 2,118

991 1,000

338 529

1,375 9,121 1,562 1,667 3,790

588 930

1,854 2,233

512 620

80 2,062 2,616

790 742

19,219 2,853 2,014 4,598 1,891 2,707

11,768 6,557 5,211

20,760 851

2,562 2,236 3,325

2,182 993

1,122 933

7,188 2,597

6,927 3,312 2,067 1,497

293 478 530 237

2,233 1,535

698 1,382

32,228 575

1,614 1,148 6,513

868 2,408 2,138

994 1,006

340 545

1,380 9,141 1,563 1,672 3,792

591 931

1,843 2,244

514 623

80 2,062 2,634

793 752

19,222 2,838 2,004 4,599 1,889 2,710

11,785 6,577 5,208

20,794 851

2,545 2,223 3,328

2,191 996

1,118 936

7,221 2,604

6,929 3,312 2,066 1,497

291 475 532 239

2,233 1,534

699 1,384

32,404 580

1,614 1,160 6,555

870 2,427 2,152

1,006 1,010

342 566

1,398 9,168 1,570 1,676 3,796

596 932

1,864 2,254

517 626

81 2,060 2,648

795 762

19,241 2,831 1,997 4,610 1,901 2,709

11,800 6,591 5,209

20,760 849

2,530 2,207 3,332

2,202 998

1,110 943

7,191 2,603

6,938 3,313 2,066 1,499

289 475 532 240

2,238 1,536

702 1,387

32,524 584

1,616 1,158 6,570

871 2,399 2,138

1,017 1,014

344 577

1,434 9,197 1,576 1,679 3,802

599 933

1,863 2,264

519 629

81 2,059 2,658

795 773

19,248 2,828 1,992 4,613 1,904 2,709

11,807 6,599 5,208

20,762 852

2,539 2,218 3,345

2,205 1,000 1,103

945 7,170 2,603

6,924 3,305 2,063 1,494

288 473 528 241

2,239 1,536

703 1,380

32,548 589

1,611 1,152 6,538

866 2,368 2,097

1,026 1,016

342 580

1,462 9,211 1,578 1,682 3,810

597 932

1,866 2,265

519 631

81 2,057 2,674

799 785

19,261 2,826 1,987 4,608 1,905 2,703

11,827 6,614 5,213

20,747 849

2,532 2,213 3,343

2,205 1,000 1,095

944 7,169 2,610

6,925 3,307 2,060 1,492

285 476 528 243

2,237 1,534

703 1,381

32,630 577

1,615 1,146 6,567

866 2,371 2,096

1,039 1,016

341 596

1,471 9,223 1,580 1,683 3,810

600 930

1,875 2,275

522 634

81 2,060 2,685

799 790

19,243 2,831 1,995 4,602 1,906 2,696

11,810 6,606 5,204

20,798 849

2,532 2,216 3,353

2,206 998

1,096 947

7,208 2,607

6,934 3,307 2,057 1,491

284 479 528 243

2,240 1,535

705 1,387

32,756 582

1,625 1,144 6,593

869 2,377 2,099

1,046 1,021

340 593

1,509 9,250 1,585 1,688 3,810

605 928

1,886 2,266

522 635

82 2,060 2,705

800 808

19,269 2,831 1,987 4,607 1,916 2,691

11,831 6,602 5,229

1 Includes other industries, not shown separately. p = preliminary. NOTE: Establishment survey estimates are currently projected from

March 1994 benchmark levels. When more recent benchmark data are introduced, all seasonally adjusted data from January 1991 forward are subject to revision.

50


ESTABLISHMENT DATA WOMEN EMPLOYEES

SEASONALLY ADJUSTED

B-4. Women employees on nonfarm payrolls by major industry and manufacturing group, seasonally adjusted

(In thousands)

Industry 1994

May June July Aug. Sept. Oct. Nov. Dec.

1995

Jan. Feb. Mar. Apr.

Total

Total private

Goods-producing

Mining

Construction

Manufacturing

Durable goods Lumber and wood products Furniture and fixtures Stone, clay, and glass products Primary metal industries Fabricated metal products Industrial machinery and equipment Electronic and other electrical equipment Transportation equipment Instruments and related products Miscellaneous manufacturing

Nondurable goods Food and kindred products Tobacco 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 Leather and leather products

Service-producing


Wholesale trade

Retail trade


Services

Government Federal State Local

54,902

44,500

6,600

85

545

5,970

2,748 123 153 104 97

304 429 658 352 354 174

3,222 547 13

319 744 167 685 336 25 323 63

48,302

1,757

1,876

10,754

4,383

19,130

10,402 1,198 2,282 6,922

55,014

44,631

6,618

85

549

5,984

2,759 124 154 104 97 306 433 661 353 353 174

3,225 547 13

319 743 167 688 335 25 325 63

48,396

1,762

1,879

10,773

4,388 j

19,211

10,383 1,195 2,267 6,921

55,110

44,721

6,617

85

551

5,981

2,754 124 156 104 98 307 430 660 347 352 176

3,227 548 13

319 741 167 690 335 25 326 63

48,493

1,768

1,881

10,804

4,387

19,264

10,389 1,193 2,286 6,910

55,271

44,853

6,647

86

555

6,006

2,773 126 155 104 98 308 435 665 355 351 176

3,233 548 13

319 742 167 693 335 25 328 63

48,624

1,778

1,890

10,826

4,386

19,326

10,418 1,194 2,292 6,932

55,390

44,945

6,650

85

560

6,005

2,776 126 156 104 99 308 436 666 355 350 176

3,229 547 13

318 741 166 692 334 25 330 63

48,740

1,780

1,897

10,858

4,380

19,380

10,445 1,195 2,296 6,954

55,459

45,009

6,665

85

562

6,018

2,785 127 157 105 99 311 435 668 357 349 177

3,233 547 13

318 739 167 695 334 25 332 63

48,794

1,786

1,900

10,854

4,375

19,429

10,450 1,194 2,300 6,956

55,687

45,182

6,676

84

568

6,024

2,793 128 158 104 100 312 436 670 358 349 178

3,231 550 13

319 733 167 695 334 25 332 63

49,011

1,796

1,905

10,918

4,372

19,515

10,505 1,192 2,304 7,009

55,762

45,277

6,684

83

568

6,033

2,802 128 158 104 101 314 436 675 360 349 177

3,231 550 13

318 731 166 697 334 25 334 63

49,078

1,809

1,911

10,939

4,373

19,561

10,485 1,199 2,304 6,982

55,809

45,322

6,694

83

575

6,036

2,803 129 158 105 101 315 436 675 358 348 178

3,233 554 13

317 727 167 697 335 25 336 62

49,115

1,809

1,917

10,956

4,369

19,577

10,487 1,187 2,305 6,995

55,956

45,442

6,698

83

580

6,035

2,806 128 158 105 101 316 437 677 358 348 178

3,229 554 13

316 722 166 700 336 25 335 62

49,258

1,819

1,923

10,950

4,364

19,688

10,514 1,186 2,313 7,015

56,014

45,495

6,694

82

584

6,028

2,806 129 159 105 101 317 436 677 358 346 178

3,222 554 12

315 717 166 701 335 25 335 62

49,320

1,825

1,923

10,929

4,371

19,753

10,519 1,186 2,315 7,018

56,048

45,513

6,682

82

583

6,017

2,807 128 158 106 102 317 437 677 359 346 177

3,210 553 12

314 712 166 699 335 24 334 61

49,366

1,833

1,928

10,899

4,368

19,803

10,535 1,186 2,318 7,031

NOTE: Establishment survey estimates are currently projected from March 1994 benchmark levels. When more recent benchmark data are introduced,

all seasonally adjusted data from January 1991 forward are subject to revision.

51


ESTABLISHMENT DATA EMPLOYMENT SEASONALLY ADJUSTED

B-5. Production or nonsupervisory workers1 on private nonfarm payrolls by major industry and manufacturing group, seasonally adjusted

(In thousands)

Industry 1994


1995

Jan. Feb. I Mar. Apr. May Junep J u l /

Total private

Goods-producing

Mining

Construction

Manufacturing


Blast furnaces and basic steel products Fabricated metal products Industrial machinery and equipment Electronic and other electrical equipment Transportation equipment

Motor vehicles and equipment Instruments and related products Miscellaneous manufacturing


Service-producing


Wholesale trade

Retail trade


Services

77,600

16,926

426

3,890

12,610

7,088 623 399 412 538 182

1,038 1,231 1,009 1,137

690 (2)

279

5,522 1,231

32 571 810 524 848 578

96 742

90

60,674

5,036

4,953

18,009

5,057

27,619

77,826

16,979

425

3,896

12,658

7,128 625 399 413 539 181

1,044 1,239 1,019 1,151

705

0 279

5,530 1,230

33 572 812 524 851 576 97 745 90

60,847

5,048

4,974

18,046

5,056

27,723

78,040

17,027

428

3,928

12,671

7,145 626 399 412 543 182

1,045 1,244 1,023 1,154 708

(2) 279

5,526 1,229

32 569 812 522 850 578 97 748 89

61,013

5,058

4,988

18,100

5,052

27,815

78,185

17,066

425

3,932

12,709

7,175 628 400J 414 547 183

1,053 1,250 1,022 1,163 716 0 280

5,534 1,227

32 571 812 524 851 579

97 752

89

78,554

17,168

426

3,983

12,759

7,218 632 402 417 551 183

1,060 1,255 1,032 1,169

720 (2)

281

5,541 1,234

32 572 806 525 851 579 97 756 89

61,119j 61,386

5,069; 5,092

5,001 5,014

18,102 18,207

5,045

27,902

5,044

28,029

78,769

17,211

426

4,000

12,785

7,239 633 402 418 553 183

1,067 1,258 1,039 1,169 721

(2) 280

5,546 1,235

32 571 804 525 853 580 97 760 89

61,558

5,124

5,034

18,244

5,039

28,117

78,914

17,273

427

4,033

12,813

7,259 633 403 420 554 183

1,074 1,263 1,042 1,171 727

(2) 281

5,554 1,243

31 570 800 526 853 581 95 766 89

61,641

5,131

5,054

18,271

5,040

28,145

79,164

17,302

427

4,042

12,833

7,288 633 404 422 556 183

1,080 1,268 1,049 1,177 731

(2) 281

5,545 1,241

31 568 795 525 854 580 96 767 88

61,862

5,147

5,076

18,286

5,042

28,311

79,351

17,341

428

4,081

12,832

7,297 633 403 423 557 184

1,084 1,274 1,045 1,181 735

(2) 280

5,535 1,242

30 566 789 525 854 580 96 765 88

62,010

5,172

5,090

18,267

5,044

28,437

79,307

17,311

426

4,067

12,818

7,296 627 400 423 559 183

1,085 1,281 1,043 1,181 736

(2) 279

5,522 1,240

30 566 782 526 851 581 95 764 87

61,996

5,182

5,095

18,238

5,042

28,439

79,322

17,206

426

4,008

12,7721 7,271 621 397 420 557 184

1,081 1,279 1,043 1,178 733

(2) 278

5,501 1,240

29 561 775 525 850 581 94 760 86

62,116

5,169

5,101

18,237

5,050

28,559

79,471

17,208

425

4,047

12,736)

7,251 618 393 420! 557 185

1,075 1,282 1,039 1,172 731

(2) 278

5,485 1,247

30 556 764 522 854 581 94 752 85

62,263

5,166

5,120

18,271

5,057

28,649


2 This series is not published seasonally adjusted because the seasonal component, which is small relative to the trend-cycle and irregular

components, cannot be separated with sufficient precision. p = preliminary. NOTE: Establishment survey estimates are currently projected from


52


ESTABLISHMENT DATA DIFFUSION INDEXES

SEASONALLY ADJUSTED

B-6. Diffusion indexes of employment change, seasonally adjusted (Percent)

Time span

Over 1-month span: 1991 1992 1993 1994 1995

Over 3-month span: 1991 1992 1993 1994 1995

Over 6-month span: 1991 1992 1993 1994 1995

Over 12-month span: 1991 1992 1993 1994 1995

Over 1-month span: 1991 1992 1993 1994 1995

Over 3-month span: 1991 1992 1993 1994 1995

Over 6-month span: 1991 1992 1993 1994 1995

Over 12-month span: 1991 1992 1993 1994 1995

Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec.

Private nonfarm payrolls, 356 industries1

39.7 42.3 57.6 60.0 60.3

34.0 40.2 64.0 68.8 66.4

29.8 43.4 63.2 71.2 65.9

31.0 47.2 64.9 68.4

P62.4

40.0 45.2 61.5 63.3 61.7

32.6 42.6 61.2 70.9 64.9

32.6 46.2 63.8 70.2 58.8

31.0 42.3 63.9 70.8

38.6 50.1 51.4 65.9 57.6

31.5 50.7 61.8 69.8 57.9

30.9 46.3 62.8 70.5

P55.8

31.7 42.7 64.0 71.9

37.2 57.3 58.3 62.4 51.3

38.2 56.3 58.8 67.1 49.3

32.6 50.8 64.2 69.5

P51.7

31.9 44.1 65.4 70.2

49.4 53.7 61.4 58.0 46.2

39.3 56.3 61.4 66.0

P50.0

39.0 55.1 60.8 69.8

31.7 48.0 67.0 69.5

44.2 48.2 55.1 63.8

P54.6

44.2 54.6 61.8 66.0

P47.2

44.8 55.3 63.9 69.1

33.8 52.5 67.6 69.7

47.1 53.5 57.7 60.5

P48.6

48.9 50.6 59.3 68.4

47.1 52.7 64.5 70.5

35.8 55.8 67.6 70.4

53.7 49.6 56.3 61.5

52.0 51.3 61.8 68.3

44.7 52.2 64.7 70.9

37.5 60.7 67.0 70.8

49.3 53.4 61.4 60.7

52.1 52.5 62.6 67.8

48.0 56.7 66.2 69.0

40.0 59.7 70.2 70.4

47.6 57.0 59.7 61.1

44.9 54.9 66.7 67.3

45.8 55.9 67.3 69.0

45.2 61.4 69.4 70.2

46.2 52.2 61.1 65.3

43.5 58.7 65.7 68.1

40.7 63.6 70.8 67.4

45.6 62.9 68.8 66.0

45.8 58.1 60.7 61.1

41.2 59.1 63.6 67.4

40.3 63.2 70.8 67.0

45.4 62.9 69.4

p 64.9

Manufacturing payrolls, 139 industries1

32.4 37.1 52.2 59.4 56.8

23.7 29.9 60.8 65.1 61.5

14.7 33.5 57.6 61.9 57.2

16.5 42.4 56.8 58.3

P45.7

35.6 40.3 57.9 61.2 54.7

23.0 36.0 60.4 66.5 56.1

20.5 36.0 56.5 62.9 47.1

16.2 36.7 57.9 59.7

32.4 46.0 52.9 59.4 49.6

20.9 45.0 57.2 64.4 47.1

21.6 39.6 56.1 64.4

P39.6

17.3 36.3 55.8 61.9

35.3 57.2 44.2 56.5 44.2

33.1 51.4 46.4 59.0 35.6

24.8 47.5 55.0 61.5

P29.1

18.0 36.0 58.6 61.5

47.1 48.2 51.4 55.0 36.7

35.6 52.2 46.4 58.6

P32.0

34.9 51.8 49.3 60.8

20.9 39.6 57.2 61.5

42.4 46.0 46.0 59.0

P41.0

37.4 54.3 50.7 58.3

P25.2

38.5 52.5 52.2 59.0

24.1 45.7 57.6 61.5

44.6 56.1 50.7 54.0

p35.3

47.1 45.3 49.6 61.5

42.8 47.5 55.4 62.2

26.3 50.0 58.6 61.9

52.2 42.8 48.6 56.5

47.1 50.7 54.3 59.0

40.6 48.9 57.9 62.6

30.6 55.8 59.0 63.3

43.2 50.7 56.1 53.2

50.4 43.9 53.2 61.5

41.4 52.5 56.8 61.5

32.7 57.9 61.2 61.5

47.5 47.5 54.7 59.4

39.9 49.6 60.1 60.4

39.2 47.1 57.6 64.0

38.1 56.8 60.4 59.7

42.1 51.4 56.5 59.0

37.4 51.4 56.1 64.0

31.7 57.9 65.1 61.5

38.8 58.3 60.1 56.5

38.5 52.5 54.3 57.6

32.7 53.6 57.6 62.2

33 1 58.3 62.9 61 5

37 4 56 5 59 4

p 49 6

. 1 Based on seasonally adjusted data for 1-, 3-, and 6-month spans and

unadjusted data for the 12-month span. Data are centered within the span. p = preliminary. NOTE: Figures are the percent of industries with employment increasing plus

one-half of the industries with unchanged employment, where 50 percent

indicates an equal balance between industries with increasing and decreasing employment. Establishment survey estimates are currently projected from March 1994 benchmark levels. When more recent benchmark data are introduced, all unadjusted data (beginning April 1994) and all seasonally adjusted data (beginning January 1991) are subject to revision.

53


ESTABLISHMENT DATA STATE EMPLOYMENT SEASONALLY ADJUSTED

B-7. Employees on nonfarm payrolls by State and major Industry, seasonally adjusted

(In thousands)

State 1994

July Aug. Sept. Oct. Dec.

1995

Feb. Apr. May

Total1

Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware District of Columbia Florida Georgia

Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland

Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey

New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina

South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming


1,756.2 259.4

1,667.9 1,031.6

12,143.8 1,750.3 1,544.8

354.9 658.9

5,785.0 3,256.6

536.7 462.5

5,474.7 2,707.4 1,322.2 1,166.0 1,597.0 1,713.8

530.7 2,148.0

2,895.7 4,137.4 2,315.7 1,058.4 2,465.8

338.6 793.8 734.5 522.1

3,556.9

655.8 7,809.7 3,359.0

294.0 5,077.1 1,277.3 1,359.9 5,197.1

435.1 1,608.2

332.4 2,421.5 7,727.9

858.8 264.2

3,001.7 2,300.9

672.9 2,478.1

216.1

1,750.4 259.7

1,676.4 1,039.9

12,148.4 1,762.0 1,546.1

354.9 656.4

5,805.3 3,262.6

534.9 464.4

5,486.4 2,705.9 1,329.0 1,160.1 1,605.8 1,727.8

533.9 2,153.0

2,914.9 4,149.9 2,319.9 1,065.9 2,478.4

341.8 796.7 740.5 528.6

3,560.3

658.5 7,826.1 3,370.5

295.3 5,073.7 1,282.8 1,367.1 5,199.4

434.4 1,615.9

334.0 2,429.5 7,784.1

863.5 263.6

3,008.5 2,301.5

670.9 2,492.2

217.1

1,755.6 261.8

1,700.1 1,045.8

12,162.1 1,763.3 1,549.4

358.6 655.0

5,813.9 3,281.9

535.0 465.6

5,488.9 2,709.7 1,327.3 1,168.9 1,607.8 1,734.9

534.2 2,150.2

2,924.9 4,157.9 2,320.2 1,068.1 2,481.7

345.4 796.7 748.5 526.2

3,569.7

659.8 7,828.2 3,383.4

296.8 5,088.0 1,282.6 1,371.7 5,206.0

435.9 1,615.3

333.1 2,428.4 7,818.4

867.4 263.8

3,015.9 2,312.9

677.0 2,493.6

218.4

1,764.7 263.2

1,713.8 1,047.5

12,176.9 1,765.1 1,550.8

358.7 656.0

5,849.8 3,292.4

536.8 467.8

5,494.2 2,723.4 1,330.3 1,173.6 1,620.1 1,744.6

534.8 2,156.8

2,936.1 4,170.5 2,321.6 1,059.1 2,494.2

345.6 798.4 752.7 526.9

3,572.4

664.6 7,821.7 3,389.7

297.8 5,100.0 1,284.9 1,374.7 5,214.8

433.8 1,616.6

335.2 2,436.9 7,824.7

873.4 264.7

3,022.2 2,319.4

678.2 2,498.3

217.6

1,763.4 262.4

1,715.7 1,052.9

12,177.3 1,767.3 1,553.2

357.8 656.1

5,865.0 3,310.5

536.9 471.1

5,509.8 2,733.3 1,330.5 1,181.7 1,619.0 1,759.0

535.4 2,159.2

2,939.4 4,179.4 2,330.6 1,058.2 2,505.3

345.9 802.0 753.0 527.6

3,576.4

669.8 7,822.1 3,399.9

298.2 5,113.3 1,292.0 1,382.5 5,223.7

435.1 1,614.7

337.0 2,442.4 7,833.9

876.4 266.4

3,042.4 2,338.6

682.0 2,505.1

218.3

1,778.7 262.21

1,723.2 1,056.7

12,185.9 1,771.3 1,551.2

358.5 654.0

5,919.6 3,334.7

538.2 472.5

5,519.5 2,747.2 1,336.9 1,192.4 1,624.0 1,769.3

535.3 2,160.4

2,942.3 4,197.3 2,335.6 1,060.3 2,511.4

347.6 809.2 757.5 530.1

3,578.2

675.9 7,823.4 3,407.6

299.4 5,121.0 1,298.8 1,391.3 5,228.4

436.0 1,631.9

339.2 2,469.5 7,853.7

880.4 266.0

3,050.4 2,345.4

695.2 2,516.9

218.7

1,769.9 260.8

1,731.1 1,058.6

12,195.2 1,780.1 1,551.0

359.1 653.5

5,900.6 3,346.9

538.6 474.2

5,522.5 2,757.7 1,338.3 1,184.3 1,624.3 1,779.1

537.3 2,162.9

2,943.2 4,200.8 2,339.6 1,061.2 2,517.7

345.8 806.5 759.6 529.2

3,582.9

676.1 7,817.2 3,413.9

299.9 5,132.0 1,305.3 1,395.7 5,231.9

436.0 1,618.6

339.3 2,458.61 7,883.3

883.61 266.5

3,053.9 2,350.6

685.7 2,520.3

218.7

1.772.4 262.7

1,734.5 1.061.3

12,150.1 1,791.8 1,542.2

357.7 648.2

5,912.4 3,351.1

536.3 476.4

5,520.9 2,753.1 1,337.2 1,185.9 1,611.3 1,784.3

539.0 2,159.1

2,937.2 4,223.3 2,343.9 1,057.7 2,515.9

347.4 806.7 759.3 530.3

3,582.5

679.5 7,829.0 3,417.7

298.7 5,138.9 1.298.6 1,395.9 5,228.7

436.2 1,614.3

341.1 2,464.2 7,867.2

886.2 264.9

3,060.5 2,347.4

683.7 2,526.4

219.9

1,773.6 264.0

1,743.7 1,064.5

12,225.9 1,793.2 1,543.0

359.8 648.6

5,939.9 3,365.0

535.5 477.0

5,535.0 2,769.5 1,340.9 1,189.5 1,617.4 1,785.5

541.1 2,154.7

2,943.6 4,237.7 2,350.1 1,060.4 2,534.7

347.8 810.6| 764.1 532.2

3,595.9

682.5 7,829.5 3,420.0

299.3 5,160.8 1,296.8 1,398.1 5,233.1

434.6 1,617.9

342.6 2,471.3 7,900.7

889.0 265.7

3,061.5 2,352.5

679.6 2,524.2

220.4

1,774.1 262.6

1,747.3 1,066.4

12,228.1 1,799.1 1,542.0

360.3 648.6

5,956.9 3,377.3

535.1 479.2

5,544.9 2,770.3 1,345.3 1,192.2 1,627.5 1,788.1

541.7 2,160.8

2,947.5 4,245.7 2,357.7 1,055.8 2,542.0

348.8 811.3 769.1 532.8

3,599.6

685.1 7,828.3 3,432.0

300.5 5,174.2 1,295.1 1,408.2 5,229.3

434.2 1,624.1

341.9 2,481.9 7,946.5

892.0 268.3

3,069.3 2,353.9

683.8 2,532.5

220.1

1,774.6 261.1

1,751.3 1,070.6

12,234.4 1,791.2 1,545.8

360.2 647.4

5,967.4 3,382.5

534.6 476.7

5,541.1 2,768.0 1,349.8 1,190.9 1,629.0 1,788.7

542.3 2,162.4

2,951.5 4,255.2 2,361.7 1,055.8 2,545.9

348.6 812.0 772.1 534.1

3,603.3

685.6 7,837.1 3,436.9

301.4 5,173.9 1,296.6 1,409.5 5,222.8

434.4 1,626.6

341.6 2,485.8 7,975.8

898.3 269.0

3,075.2 2,359.4

686.8 2,535.3

220.4

1,771.5 262.0

1,753.3 1,070.1

12,242.0 1,791.6 1,541.5

359.7 645.2

5,986.0 3,383.9

534.3 473.9

5,531.7 2,756.1 1,349.4 1,196.4 1,632.7 1,793.9

541.4 2,159.9

2,948.3 4,258.6 2,362.1 1,055.5 2,540.8

350.6 808.6 773.8 532.2

3,605.0

684.7 7,832.9 3,434.3

301.7 5,171.9 1,299.6 1,415.1 5,203.5

432.5 1,626.1

341.4 2,487.9 7,985.9

902.5 267.7

3,073.4 2,361.7

687.0 2,537.8

218.8

54


ESTABLISHMENT DATA STATE EMPLOYMENT

SEASONALLY ADJUSTED

B-7. Employees on nonfarm payrolls by State and major industry, seasonally adjusted—Continued

(In thousands)

State 1994

June July Aug. Sept. Oct. Nov. Dec.

1995

Jan. Feb. Mar. Apr. May Junep

Construction

82.1 11.9

107.4 41.5

463.5 97.6 49.2 16.9 9.3

295.7 139.7

29.2 29.7

215.5 128.3 53.4 49.4 74.8

102.7 20.5

126.8

87.2 141.4 81.6 44.6

112.9 15.0 33.6 55.5 18.1

123.9

40.6 249.6 166.4

12.9 207.5

46.8 61.0

203.8 13.4 83.6

14.0 101.4 376.3 48.4 11.8

164.0 124.0 35.4 99.0 13.6

82.5 12.1

108.5 42.1

466.1 97.0 48.9 17.5 9.5

300.6 137.4

29.0 30.0

217.5 129.5 53.8 50.3 76.7

104.1 21.2

126.4

89.0 143.9 81.8 45.1

113.3 15.6 33.6 56.6 18.2

124.3

41.7 251.1 167.5

12.9 206.3

47.4 61.9

204.7 13.1 85.1

14.1 101.3 381.9 48.4 11.6

164.4 123.9 34.5 98.8 13.6

82.4 12.2

109.5 42.6

468.3 97.7 49.3 17.4 9.6

302.0 141.9

29.2 30.1

217.1 129.2 53.5 49.8 76.7

105.9 21.3

126.5

89.5 143.5 81.1 45.4

112.8 15.7 33.6 57.2 17.8

125.1

42.0 252.4 167.9

13.0 206.5 47.5 62.5

204.7 13.2 84.4

14.1 100.8 383.7 49.1 11.6

164.9 124.4 34.7 98.3 13.7

83.7 12.3

111.0 43.2

472.7 98.1 49.4 17.6 9.7

303.4 144.2

29.2 30.4

217.7 130.9 53.8 49.5 77.2

107.3 21.5

126.9

89.2 145.4 80.7 44.5

113.5 15.8 33.8 56.6 18.2

124.7

42.7 254.6 168.7

13.2 206.9

48.2 64.1

205.4 13.0 84.4

14.2 101.1 386.9

50.1 11.7

165.4 124.9 35.4 99.2 13.8

82.4 12.7

114.0 43.9

474.1 98.3 49.8 17.6 9.8

303.5 142.9

29.1 30.3

218.4 131.2 53.7 50.3 77.8

106.8 22.0

127.4

89.4 147.7 80.9 44.7

112.5 15.7 33.6 56.4 18.6

124.6

43.0 256.6 169.5 13.4

208.1 49.0 64.9

205.4 13.4 84.2

14.3 101.8 389.6

50.5 12.2

166.1 126.2 35.4

101.2 13.9

83.2 13.3

115.0 44.3

474.3 99.4 49.8 17.8 9.8

304.9 147.4

29.1 30.5

218.5 132.2 54.7 50.7 78.5

107.6 21.9

128.5

89.7 149.5 80.2 45.0

112.1 15.6 33.8 56.8 19.3

125.5

43.9 257.5 170.6 13.5

210.1 49.3 65.0

206.4 13.5 84.4

14.4 103.5 392.6

50.6 12.1

166.8 125.7 36.2

100.7 13.9

83.6 13.1

115.8 44.9

476.5 100.5 50.4 17.9 9.7

304.9 148.2

28.7 30.0

216.3 132.8 54.4 50.2 76.9

108.5 22.0

128.8

90.3 150.8 80.7 45.5

112.7 15.2 33.2 57.4 19.9

125.1

44.3 256.8 171.6

13.2 211.2

49.4 65.9

206.9 13.7 84.9

14.4 103.2 396.5

50.3 11.8

168.1 125.8 36.3

100.7 14.2

85.3 13.3

116.6 44.4

453.8 101.5 52.6 17.6 9.7

308.5 150.7

27.8 30.9

212.1 131.5 57.0 51.1 72.5

110.6 21.8

127.3

92.3 153.4 81.0 48.4

115.6 16.1 32.8 56.1 20.4

126.9

45.3 257.3 171.7

13.2 213.9 49.7 65.3

206.9 13.7 84.9

14.8 105.5 403.2

50.9 11.7

170.1 125.4 35.5 99.3 14.6

84.3 13.2

117.4 44.4

487.7 101.0 52.4 17.5 9.4

308.4 147.7

27.2 31.0

209.0 133.0 57.8 51.1 70.9

108.1 21.7

125.4

91.5 154.0 81.4 47.7

116.1 15.7 33.0 56.7 21.0

126.5

46.1 257.0 170.6

13.1 214.0 48.6 65.6

205.9 13.1 83.6

14.3 105.2 402.8

51.4 11.9

168.9 124.5 33.6 96.4 14.6

85.0 12.8

115.5 44.7

477.6 103.4 51.6 17.9 9.6

308.7 152.4

27.4 31.5

212.0 134.6 57.1 51.8 75.1

108.5 21.8

128.1

92.3 159.5 82.3 46.9

118.1 16.0 32.6 57.3 21.1

127.6

46.6 254.7 174.7

13.1 214.9

48.9 67.2

206.9 12.9 84.9

14.2 108.2 406.2

52.3 12.4

171.4 125.1 35.5

100.0 14.5

85.5 12.8

113.9 44.9

486.1 98.3 51.1 18.4 9.9

308.6 151.9

27.3 30.7

212.3 133.9 55.6 52.1 75.2

106.3 22.3

127.0

91.6 160.9 81.5 47.6

119.2 15.6 32.3 57.7 20.8

127.8

47.2 255.2 176.2

12.8 213.2 49.4 67.6

204.6 12.4 84.8

14.4 108.1 403.9

53.8 12.4

172.2 124.3 36.7

100.8 14.7

84.6 12.8

113.4 44.6

487.6 96.9 50.6 17.6 9.9

306.3 153.4

26.8 29.8

214.6 130.9 55.1 52.0 74.0

106.6 22.0

126.4

91.1 159.4 81.1 48.4

116.2 15.3 31.4 58.5 20.5

127.7

46.5 255.5 175.6

13.7 211.0 49.9 67.9

200.5 12.4 84.4

13.9 107.2 403.5

54.5 11.6

172.5 124.4 35.8

101.9 13.8

85.4 12.5

112.3 44.4

491.4 95.5 51.3 17.6 10.1

306.9 155.0

26.9 29.6

216.9 132.7 55.4 52.8 74.7

108.1 21.8

125.5

91.7 159.0 82.6 48.9

116.3 15.5 31.4 59.0 20.4

127.8

46.9 255.9 174.7

14.0 210.1 49.8 68.6

200.3 12.3 83.9

14.3 108.0 405.0

56.2 11.7

173.5 125.9 35.8

103.7 14.0


Hawaii2

Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland





55




(In thousands)

State 1994

July Aug. Sept. Oct.

1995

Feb. Apr. May

Manufacturing







385.0 16.8

193.3 253.2

1,773.4 190.5 285.3

63.6 13.0

483.6 574.8

17.9 71.9

959.9 661.3 245.5 189.4 305.3 187.0

91.4 179.3

448.4 950.0 415.5 261.0 411.7

23.0 108.8

33.4 100.8 509.6

44.8 953.5 857.4

21.4 1,066.5

171.3 221.4 942.6

87.4 376.6

43.5 539.1

1,007.1 116.1 43.8

404.1 336.3

81.5 583.4

10.0

384.5 16.5

193.4 254.6

1,776.4 191.8 285.5

61.2 13.0

484.6 574.0

17.6 72.0

952.3 656.8 247.0 188.1 305.6 187.9

91.7 179.5

450.9 949.8 417.7 261.8 413.8

23.2 109.1 33.8

101.5 510.8

45.3 957.6 860.2

21.1 1,063.9

171.8 221.4 944.8

87.4 377.7

43.9 540.6

1,011.5 117.1

44.0 404.6 336.1

81.5 583.7

9.9

387.5 17.1

194.4 256.5

1,775.0 191.6 284.7 63.7 13.0

484.0 580.3

17.6 72.2

952.3 664.1 245.6 187.7 305.6 188.3

91.7 178.0

450.2 955.2 417.8 262.4 419.4

23.2 109.2 34.3

100.8 512.2

46.0 954.8 861.3

21.6 1,073.6

170.3 220.1 944.3 87.2

376.4

44.1 539.8

1,012.0 117.2

44.0 403.1 336.9

81.5 584.3

10.1

388.1 17.4

195.3 258.3

1,775.1 192.1 283.8 63.7 13.0

484.1 580.3

17.6 72.6

953.2 665.1 247.0 189.8 306.7 188.6

91.8 178.8

448.7 957.5 417.5 261.3 419.9

23.3 109.3 34.7

100.7 509.5

46.1 950.4 861.0

21.7 1,073.7

170.8 220.2 942.0

86.8 376.5

44.6 540.1

1,013.1 117.7

44.3 403.9 337.1

81.8 584.9

10.1

389.2 16.9

196.5 259.4

1.771.6 193.1 284.1

63.7 13.1

484.7 582.7

17.5 73.8

954.2 666.4 247.0 191.5 307.31 190.1

92.1 178.9

447.8 963.1 418.6 261.5 421.7

23.4 109.9 35.0

100.8 508.5

45.8 948.6 862.5

21.6 1,080.5

171.7 221.7 945.5

86.5 376.4

45.0 539.7

1,014.7 118.8 44.3

406.3 338.5 82.4

588.0 10.2

389.5 16.0

196.6 260.4

1,769.2 194.0 283.2 63.2 13.1

484.7 584.5

17.3 73.7

953.8 671.9 247.9 191.7 308.7 190.7

92.4 179.0

447.6 964.4 420.3 261.6 421.9

23.5 111.3 35.0

101.3 508.6

45.8 946.4 863.0

21.9 1,083.0

171.8 223.3 946.6

86.6 375.9

45.3 540.2

1,015.9 119.3

44.2 406.6 339.8

82.7 591.9

10.2

390.0 15.4

196.3 261.0

1,770.5 194.8 282.7

63.2 13.1

485.2 586.4

17.3 74.3

953.8 675.7 248.9 191.8 309.5 191.5

92.8 178.6

447.8 964.9 420.6 261.2 421.8

23.6 111.8 35.2

101.3 507.3

46.0 944.3 864.4

21.9 1,086.5

172.2 224.5 948.1

86.7 375.1

45.6 541.3

1,017.2 119.7

44.2 406.1 340.2

82.9 593.2

10.2

390.4 16.9

197.7 262.6

1,767.2 193.9 282.6 63.0 13.1

485.8 586.3

17.1 75.0

956.1 678.6 249.1 191.9 310.7 191.6

93.2 178.7

447.9 977.4 422.6 258.6 422.8

23.7 111.9 34.8

101.1 507.2

46.4 949.7 868.2

21.9 1,088.3

173.4 225.7 947.1

87.2 374.2

45.8 542.4

1,018.8 120.1

44.3 404.7 341.9

82.6 595.1

10.2

390.1 18.5

199.3 263.7

1,772.2 194.8 282.0

63.2 13.1

486.7 588.0

17.1 74.5

957.0 682.1 250.7 192.8 312.5 190.9

93.1 178.7

449.2 977.0 422.8 258.9 424.7

23.6 112.2 35.0

101.2 508.2

46.6 949.2 869.6

21.8 1,094.3

173.9 225.3 947.0

86.2 375.8

46.1 541.2

1,022.8 119.7

44.2 404.7 343.0

82.9 596.8

10.4

390.2 17.6

199.9 263.0

1,771.3 194.3 282.0

63.4 13.0

486.2 589.7

17.0 74.9

956.5 681.1 250.6 193.6 312.5 190.9

92.4 178.5

449.5 978.2 424.4 258.0 423.8

23.9 112.4 35.1

100.8 506.6

46.4 949.3 868.2

21.9 1,097.0

175.9 225.4 946.1

86.1 375.4

46.0 540.4

1,026.0 121.0 44.7

405.0 342.5

83.1 598.1

10.3

388.6 16.0

201.0 262.0

1,770.3 194.0 282.2 j 62.8 13.1

487.0 587.0

17.0 74.8

957.0 678.8 250.9 193.9 311.91 190.7

92.5 177.9

448.7 979.6 424.1 257.4 424.7

23.6 111.9 35.0

101.2 503.2

46.6 948.2 868.4

21.9 1,098.5

175.0 225.4 945.6

85.8 375.6

46.4 537.7

1,027.1 120.8

44.8 405.2 342.3

83.3 598.0

10.4

385.7 16.7

200.9 261.0

1,766.2 194.5 281.5

62.3 13.1

486.6 585.8

16.9 73.9

956.9 679.4 249.91 194.8 311.6 192.4

91.91 177.9

448.5 979.2 425.4 256.1 423.6

23.81 111.8 35.3

100.6 501.1

46.5 947.7 864.7

21.8 1,099.3

174.5 225.8 943.8 84.6

373.2

46.2 537.7

1,025.8 121.4

44.8 402.8 340.2

83.0 597.2

10.5

56



SEASONALLY ADJUSTED


(In thousands)

1994


1995

Jan. Feb. Mar. Apr. May Junep







Transportation and public utilities 86.8 23.4 84.9 59.4

613.3 107.8 70.0 15.1 21.2

295.2 212.5

42.0 22.0

317.7 137.9 58.7 67.8 88.6

110.5 22.8

103.6

126.7 163.3 113.8 48.7

156.1 20.9 48.2 37.7 18.9

243.5

30.0 403.2 161.7

18.5 224.1

73.1 68.9

274.1 14.8 70.6

15.6 135.8 456.6

49.4 11.4

151.0 116.0 39.8

114.8 14.1

86.7 23.5 86.0 59.8

616.6 108.3 70.5 15.2 20.9

294.4 212.3

41.7 22.0

316.9 138.6 59.1 68.1 89.6

111.2 22.8

104.4

127.9 162.8 114.5 48.4

156.3 20.8 48.0 38.1 18.8

244.3

30.0 399.7 162.4 18.5

224.3 73.3 68.8

273.6 14.8 70.4

15.6 136.0 458.1

49.4 11.5

153.1 116.5 40.1

115.9 14.1

86.7 23.5 86.8 60.0

616.0 107.8 70.5 15.5 21.1

295.9 212.8

41.7 22.1

316.7 138.4 58.8 68.3 89.5

111.7 22.5

104.5

127.7 162.8 113.1 48.5

157.2 20.8 48.3 38.5 18.7

245.1

30.0 399.2 161.8

18.5 223.7

73.1 69.2

273.1 14.9 70.4

15.7 136.1 460.0

49.9 11.4

152.9 117.5 40.1

115.6 14.1

86.8 23.6 87.2 60.2

615.8 107.2 70.4 15.4 21.0

296.5 210.2

41.8 22.3

317.3 138.2 59.2 68.5 89.5

111.5 22.8

104.3

127.5 163.7 115.2 48.2

156.7 20.9 48.5 38.6 18.7

244.8

30.1 399.5 161.1 18.8

224.0 73.1 69.1

273.4 14.8 70.2

15.6 136.0 461.9

50.0 11.6

153.0 117.7 40.1

116.6 14.1

86.5 23.8 86.3 60.5

614.8 106.9 70.5 15.7 20.9

296.8 210.1

41.4 22.5

318.2 138.0 60.0 69.2 89.9

113.1 23.3

104.0

127.8 164.1 115.3 48.0

157.0 21.0 49.0 38.9 18.8

245.1

30.1 398.4 160.9 19.1

224.7 72.9 69.2

274.2 14.8 70.4

15.8 135.9 465.0

50.1 11.5

155.3 118.8 40.2

116.8 14.2

86.7 23.8 86.7 60.7

613.7 106.7 70.6 15.6 21.0

297.5 210.0

41.4 22.5

318.9 138.2 60.0 69.4 90.5

113.2 22.9

103.4

127.2 164.4 115.5 48.8

157.1 21.0 49.1 39.1 18.9

245.1

30.6 397.6 161.1 19.1

224.9 73.5 69.1

274.0 14.6 70.3

15.9 135.9 468.8

50.6 11.4

155.6 119.1 40.3

116.8 14.2

86.7 23.6 87.0 61.5

610.9 106.8 70.6 15.8 21.0

299.0 209.8

41.5 22.5

319.1 137.3 59.7 69.3 90.6

114.0 22.9

103.1

127.1 164.6 115.9 47.9

157.4 21.1 49.5 38.9 18.8

244.7

30.6 397.3 160.6 19.2

225.3 74.1 70.3

273.0 14.6 70.4

15.9 135.9 471.9

50.8 11.4

155.4 119.3 40.5

117.3 14.2

86.3 23.8 89.0 61.0

608.4 106.9 70.6 15.3 20.4

299.4 208.3

41.6 22.7

319.4 136.1 59.6 69.7 88.7

115.9 22.7

104.2

126.5 166.3 116.7 48.3

158.2 20.8 49.4 39.1 19.0

245.4

30.6 395.4 160.3

19.0 225.2

73.5 69.9

270.9 14.5 70.4

15.9 137.0 468.9

51.1 11.5

155.7 118.6 40.9

117.5 14.1

86.6 23.7 90.2 61.4

610.9 106.7 71.1 15.7 20.4

299.4 208.6

41.7 22.7

321.2 137.0 59.8 70.1 89.6

114.5 22.7

105.2

126.0 165.6 116.6 48.4

157.8 20.8 49.5 39.1 19.2

246.0

30.8 395.2 159.7 19.1

226.8 73.2 69.4

271.6 14.6 70.8

16.1 137.2 470.4

51.3 11.6

156.6 119.0 41.1

118.5 14.2

86.2 23.7 89.7 61.6

612.9 107.0 70.7 15.5 20.5

300.3 208.9

41.6 23.0

322.2 137.1 60.1 70.2 90.4

114.2 22.8

104.8

126.0 166.2 116.6 48.0

157.5 20.6 49.9 39.4 19.8

246.1

30.8 395.8 160.4 19.3

226.8 73.2 70.1

272.2 14.4 71.9

15.9 137.6 472.3

51.5 11.6

157.5 117.9 40.9

119.1 14.1

86.2 23.9 89.5 62.1

614.3 107.4 71.2 15.6 20.2

299.3 209.8

41.4 22.8

322.7 139.2 60.2 70.1 90.1

113.4 23.0

105.0

126.6 164.9 115.8 47.0

157.7 20.5 49.9 39.5 20.1

245.8

30.6 395.5 160.4

19.1 227.3

73.1 70.1

273.3 14.2 71.6

16.1 138.5 471.1

51.3 11.5

157.8 118.3 41.0

118.8 14.0

86.2 23.0 88.9 62.1

614.2 108.8 70.9 15.4 20.1

299.1 209.1

41.4 22.8

322.5 138.2 60.0 70.3 90.5

113.7 23.1

104.4

127.4 163.0 116.0 47.0

156.3 20.6 50.3 39.5 19.7

245.9

30.7 395.9 160.4 19.1

226.9 73.5 70.9

271.4 14.3 71.7

16.1 137.2 472.4

51.7 11.5

158.3 118.7 40.9

119.1 13.9

85.9 23.3 89.1 62.0

617.0 110.0 70.7 15.5 20.1

299.0 208.4

41.6 22.8

323.5 139.2 60.1 70.7 90.6

113.6 23.3

104.4

127.7 162.9 116.6 47.1

156.4 20.7 50.6 39.5 19.6

245.0

30.3 395.2 160.6 18.9

226.7 74.6 70.9

271.2 14.3 71.3

16.1 137.8 474.6

51.9 11.6

158.7 119.1 40.9

117.2 14.0

57




(In thousands)

State 1994


1995

Mar. Apr. May







Wholesale and retail trade 391.2

53.1 408.5 231.8

2,828.0 426.0 336.7

78.5 52.7

1,502.6 812.4

132.1 117.1

1,279.6 645.2 329.2 282.6 378.0 397.0 134.0 513.1

664.6 971.7 559.5 219.5 586.1 92.2

197.8 143.8 134.4 835.1

155.5 1,578.7

760.8 76.6

1,226.1 299.5 341.5

1,167.4 95.0

365.2

84.2 j 563.1

1,874.2 205.1 62.9

674.7 563.1 154.1 567.7 49.9

394.3 53.1

412.9 234.3

2,822.1 429.2 336.3

79.1 52.9

1,505.0 815.9

132.3 117.2

1,277.3 646.7 335.7 282.6 380.8 399.8 136.6 515.3

671.1 970.7 560.2 219.3 587.6

93.4 200.8 144.6 135.7 835.6

156.4 1,579.5

767.9 76.8

1,228.6 301.8 343.0

1,165.6 94.4

367.2

85.2 566.7

1,879.3 206.8 62.6

676.9 563.8 153.8 570.9

50.2

394.7 53.6

415.3 235.4

2,823.1 429.6 336.8

79.1 52.5

1,511.9 817.8

132.9 117.6

1,276.0 648.0 334.8 283.9 382.1 402.3 137.0 515.4

674.9 969.8 560.9 219.8 587.1

93.9 198.2 145.8 134.4 837.9

156.7 1,583.4

769.6 77.2

1,228.7 302.2 344.3

1,169.3 95.2

367.8

84.8 567.7

1,887.8 207.9

62.8 679.3 567.0 154.8 570.7

50.5

395.9 53.7

416.1 236.4

2,823.6 431.6 336.9

79.1 52.7

1,516.5 821.9

133.5 118.0

1,279.1 650.0 335.0 284.6 383.2 405.4 136.6 516.1

676.6 972.5 561.8 219.5 593.2

94.3 199.3 146.4 135.6 840.7

157.8 1,584.1

771.3 77.1

1,229.0 302.3 344.4

1,169.4 95.0

368.5

84.9 569.2

1,893.4 209.1

62.9 683.1 569.4 156.0 574.2

50.7

397.2 53.7

420.2 237.5

2,822.0 433.1 337.6

78.8 52.9

1,523.9 825.4

133.3 118.8

1,287.6 653.7 333.0 285.5 384.5 407.9 135.4 518.2

677.6 971.1 563.9 218.7 598.7 94.4

201.4 146.6 135.5 844.3

159.1 1,585.8

773.3 77.1

1,231.5 304.2 346.2

1,174.7 97.0

369.3

86.0 572.0

1,896.6 210.2 63.2

688.4 574.2 157.6 575.6

50.9

397.3 54.0

422.8 239.1

2,826.1 435.6 336.2

78.6 53.1

1,528.4 829.4

135.0 119.8

1,293.8 660.0 333.9 285.8 385.8 410.9 135.4 518.6

677.4 978.1 565.5 220.2 600.9

94.4 201.9 148.0 136.0 846.6

160.2 1,585.1

775.6 77.6

1,232.1 306.7 350.1

1,175.0 97.0

370.7

86.3 574.8

1,902.8 211.5

63.1 689.3 576.7 158.0 579.6

50.9

400.9 54.2

425.3 239.3

2,831.9 436.7 335.3

78.7 53.1

1,536.8 834.2

135.6 119.5

1,298.3 664.4 335.6 286.4 386.9 415.1 136.2 521.8

674.3 979.7 566.9 220.4 604.3

95.0 202.3 148.9 135.5 850.2

160.5 1,585.1

778.5 77.8

1,232.2 308.1 350.0

1,177.9 97.3

372.3

86.6 579.0

1,914.2 212.4

63.3 692.0 578.9 158.8 581.7

51.1

402.5 54.1

420.6 240.3

2,818.0 444.9 332.9

79.0 53.1

1,532.9 838.6

135.3 119.8

1,299.8 663.6 332.0 287.0 382.2 411.2 136.7 516.6

675.6 985.2 568.6 221.6 605.3

94.7 201.2 150.1 136.8 846.2

161.0 1,592.0

777.0 77.5

1,236.2 306.5 352.4

1,176.3 96.7

370.6

87.2 579.6

1,903.5 212.4 63.4

695.5 578.2 158.9 582.2

51.4

402.6 54.0

421.5 240.8

2,823.7 444.6 333.7

78.8 53.4

1,540.9 847.6

134.7 120.0

1,297.7 665.0 332.3 288.4 384.6 414.6 137.5 515.8

676.6 991.2 570.7 220.0 609.8

95.1 203.1 150.2 136.7 852.2

162.0 1,587.8

779.0 77.5

1,240.9 306.6 353.2

1,174.4 96.7

371.0

87.8 582.6

1,911.9 212.9 63.2

693.7 579.9 156.3 583.0

51.3

402.6 53.7

423.5 240.3

2,828.5 445.1 334.7

78.8 53.4

1,546.2 845.2

134.4 120.5

1,299.5 664.7 333.7 288.1 387.9 413.9 137.6 517.8

678.6 992.7 570.9 217.8 611.4

95.0 202.8 151.1 136.5 852.9

162.8 1,587.5

781.0 78.1

1,240.7 304.6 355.2

1,171.3 97.1

373.2

87.3 585.8

1,927.1 212.7 64.1

695.5 580.6 156.9 581.6

51.0

402.1 53.7

427.3 243.3

2,826.1 443.6 336.9

78.9 53.9

1,551.9 847.8

134.0 120.2

1,295.9 663.7 335.9 288.9 389.7 414.7 137.9 519.8

678.7 993.0 573.2 218.7 615.0

94.9 203.6 151.5 137.1 854.3

163.0 1,589.1

780.8 78.9

1,244.7 305.5 354.1

1,173.8 96.9

374.2

86.8 586.9

1,944.0 214.8

63.9 697.5 582.5 158.1 582.1

51.0

402.5 53.8

427.4 243.2

2,832.2 442.1 337.3

79.9 54.0

1,556.8 849.6

134.6 120.5

1,291.8 661.8 335.5 288.2 390.6 414.4 137.8 518.6

675.4 992.4 573.0 218.3 616.0

95.5 203.1 152.2 137.5 855.0

162.4 1,589.9

782.0 78.8

1,245.2 306.5 354.8

1,170.4 96.4

373.5

87.0 588.9

1,944.9 215.5

64.2 697.9 585.1 158.7 582.7

50.9

402.2 54.5

428.6 243.5

2,834.9 442.6 336.0

80.2 53.5

1,560.5 855.1

134.6 121.7

1,294.5 660.9 335.8 288.5 391.6 415.3 138.4 518.2

673.8 998.2 573.8 218.4 613.5

94.7 203.8 152.8 137.5 855.1

164.4 1,591.5

784.0 79.0

1,241.8 307.7 356.7

1,172.6 96.6

375.8

87.5 592.2

1,949.0 217.1

64.1 699.5 586.6 159.1 583.6

50.7

58



SEASONALLY ADJUSTED

B-7. Employees on nonfarm payrolls by State and major industry, seasonally adjusted—Continued (In thousands)

State 1994


1995

Jan. Feb. Mar. Apr. May







Finance, insurance, and real estate 77.2 12.1

111.0 41.8

790.4 110.7 136.4 39.1 31.3

374.7 173.5

38.7 24.2

395.0 132.2 76.5 58.7 64.5 80.0 26.5

134.8

208.4 198.0 140.2 39.6

146.1 15.7 51.3 34.3 29.6

231.9

29.5 739.7 142.6 13.9

270.3 63.9 88.8

310.6 25.7 68.9

18.1 108.4 441.0 46.0 12.1

164.5 125.3 25.7

133.9 7.9

76.9 12.1

111.5 41.9

788.9 110.6 134.6 39.2 31.4

377.0 173.2

38.4 24.2

395.5 131.6 76.7 58.8 65.2 80.3 26.5

134.4

209.6 198.2 139.9 39.4

147.8 15.8 51.5 34.2 29.4

231.0

29.3 739.3 143.3 14.0

271.0 64.3 89.0

310.3 25.5 68.7

18.1 108.7 443.0 46.1 12.1

164.4 124.6 25.8

134.3 7.9

77.0 12.1

111.9 42.0

786.4 110.5 134.6 39.3 31.4

377.2 173.2

38.2 24.2

395.0 131.4 76.7 58.8 65.3 80.5 26.5

133.7

209.8 197.0 139.9 39.6

147.2 15.8 51.4 34.5 29.5

230.7

29.5 738.8 143.6

14.0 270.9

64.2 89.4

310.5 25.6 68.8

18.1 109.0 443.7 46.2 12.2

164.4 124.4 25.9

134.8 7.9

76.9 12.2

112.1 42.0

783.3 110.4 134.6 39.6 31.3

378.3 173.7

38.4 24.3

394.6 130.5 77.0 58.8 65.2 80.6 26.7

133.4

209.8 196.4 139.7 39.3

147.0 15.8 51.6 34.5 29.5

231.4

29.8 738.8 144.0 13.9

271.0 64.3 88.6

311.2 25.4 68.9

18.2 109.0 444.7

46.3 12.2

164.5 123.9 26.0

134.7 8.0

77.0 12.0

111.7 42.0

780.6 110.4 135.0 39.8 31.0

379.5 173.9

38.3 24.3

394.9 130.9 77.3 58.7 65.0 80.7 26.8

133.3

209.7 195.9 139.6 39.4

147.4 15.8 51.8 34.6 29.4

231.8

30.3 738.2 144.0 13.9

271.4 64.1 88.7

310.8 25.1 69.1

18.3 109.1 445.7

46.4 12.2

165.6 123.5 26.1

134.8 7.9

77.3 11.9

111.5 42.2

778.9 110.6 135.2 40.1 31.1

379.1 175.0

38.3 24.4

395.1 129.9 77.4 58.7 64.9 80.8 26.8

132.9

209.7 195.5 139.4 39.3

147.3 15.8 51.9 34.7 29.5

231.1

30.5 737.3 144.2

13.8 271.6

64.2 88.7

311.3 25.2 69.2

18.3 109.2 446.6

46.9 12.2

165.7 123.4 26.0

135.2 7.9

77.5 11.9

112.6 42.3

776.5 111.0 135.2 40.2 31.1

379.2 175.1

38.2 24.5

395.3 129.1 77.7 58.6 64.7 80.8 26.9

132.7

209.6 195.2 139.4 39.3

147.7 15.8 52.0 34.8 29.2

231.1

30.7 737.3 144.4 13.9

271.3 64.5 89.1

311.7 25.2 69.0

18.4 109.2 447.6

47.5 12.2

166.4 123.2 25.9

135.6 7.9

77.3 11.8

112.7 42.3

774.3 110.8 134.3 40.3 30.9

380.3 175.4

38.0 24.3

395.3 128.4 77.9 58.4 63.6 81.0 26.8

132.3

209.8 195.7 138.4 39.1

147.1 15.8 51.9 34.4 29.4

231.3

30.8 735.5 144.8 14.0

271.2 64.4 88.5

312.6 25.5 68.7

18.5 109.3 445.7

47.6 12.2

166.1 122.7 26.1

135.9 7.9

77.4 11.9

111.5 42.5

774.6 110.5 134.7 40.6 31.2

380.9 175.4

37.6 24.4

396.1 129.0 77.8 58.4 63.4 81.2 26.7

132.5

209.9 194.5 138.6 39.3

147.1 15.9 52.1 34.6 29.4

232.1

30.9 734.0 144.9 14.1

271.3 64.2 88.6

311.9 25.6 68.7

18.5 109.5 445.3

47.9 12.3

165.8 122.7 26.2

136.3 8.0

77.3 11.9

111.5 42.7

772.0 110.8 133.4 40.6 31.3

381.4 175.1

38.1 24.3

397.2 129.3 78.1 58.1 63.7 81.6 26.8

132.5

210.7 195.2 139.3 39.2

147.2 15.9 52.2 35.1 29.5

232.8

31.1 732.0 146.1

14.2 272.0

64.4 89.1

312.8 25.2 68.9

18.8 109.9 445.1

47.4 12.3

166.7 122.9 26.1

136.6 7.9

77.1 11.9

111.2 42.8

769.7 110.7 133.1 40.6 31.2

382.0 175.5

38.2 24.5

396.5 129.8 78.2 58.4 63.1 81.3 26.7

131.3

210.6 194.4 140.0 39.2

146.4 15.9 52.1 35.4 29.8

232.7

31.2 731.5 147.1

14.1 272.5

64.6 89.9

311.8 25.3 69.2

18.9 109.9 444.8

47.4 12.3

167.1 122.9 26.1

136.6 8.0

77.2 12.0

111.2 42.9

768.7 110.7 132.8 40.6 30.8

382.9 174.8

38.0 24.1

395.9 130.5 78.6 58.3 63.5 81.3 26.7

131.0

211.0 194.5 140.0 39.2

146.8 16.0 52.3 35.6 29.2

232.6

31.3 731.4 147.0

14.1 271.9

64.8 90.1

311.4 25.4 69.3

19.1 110.3 445.6 47.4 12.4

167.5 123.3 26.5

136.9 7.9

77.1 12.3

110.7 42.9

769.5 110.3 133.1 40.6 30.8

383.7 175.0

37.8 23.9

396.8 131.1 78.7 58.2 64.4 81.4 26.5

130.6

212.2 194.5 140.7 39.0

148.0 16.1 52.4 35.6 29.3

232.2

31.3 729.5 147.8

14.2 271.4

65.0 90.4

312.1 25.2 69.0

19.2 110.6 445.4

47.5 12.3

167.1 123.4 26.3

136.7 8.0

59




(In thousands)

State 1994


1995

Feb. Mar. Apr. May

Services







374.4 57.8

477.8 227.6

3,549.9 504.5 449.8

91.2 260.4

1,923.4 773.2

163.6 102.7

1,512.9 609.3 327.8 276.5 378.6 442.1 140.5 670.7

969.4 1,069.8

636.2 225.2 663.7

91.3 202.1 327.5

I 144.2 1,041.4

I 175.4 2,458.1

727.6 80.2

1,327.3 316.3 345.0

I 1,561.6 I 137.5

344.7

86.7 I 603.6 I 1,995.8

224.2 76.8

826.8 594.9 173.8 611.9

45.1

374.1 58.2

481.9 229.7

3,555.0 508.7 450.5

92.0 259.9

1,936.7 779.6

163.9 103.6

1,526.2 612.5 329.7 278.1 381.6 448.4 141.9 672.6

976.9 1,078.8

638.4 227.2 669.7

92.7 202.0 328.1 146.2

1,043.2

176.8 2,467.5

728.7 81.0

1,328.8 317.3 347.9

1,566.8 137.2 347.2

87.1 605.7

2,022.6 226.1

76.5 830.0 598.9 174.4 617.8

45.2

375.1 58.7

485.3 230.4

3,564.1 508.5 452.4

92.4 261.0

1,943.7 785.6

163.3 104.3

1,526.4 610.9 329.9 279.0 382.0 449.4 142.6 671.7

981.8 1,083.1

639.1 225.0 670.5

92.7 203.5 332.8 146.4

1,047.1

177.3 2,470.4

730.2 81.0

1,330.6 318.4 349.8

1,570.3 137.9 348.2

87.2 604.6

2,033.0 228.3

76.6 835.8 602.4 175.0 622.9

45.2

376.3 59.2

485.4 231.8

3,575.8 508.8 453.5

92.3 261.7

1,954.0 792.1

164.0 104.4

1,530.4 612.3 329.4 279.9 384.4 452.1 142.7 674.1

987.1 1,086.1

640.3 222.4 672.3

93.1 203.5 334.9 146.0

1,049.3

179.5 2,473.7

733.1 81.4

1,332.6 319.6 351.2

1,570.8 137.1 348.8

87.7 607.7

2,030.6 230.0

76.5 838.1 604.9 175.5 623.1

45.2

376.4 59.4

488.5 233.0

3,577.9 509.0 456.2

91.3 262.6

1,960.1 797.2

164.9 104.8

1,534.8 618.2 330.1 282.0 381.9 456.5 142.9 673.9

989.3 1,089.3

643.3 221.2 675.8

93.4 203.9 335.5 146.4

1,049.1

181.7 2,476.8

735.8 82.0

1,339.2 324.6 353.6

1,573.6 136.4 346.9

88.1 609.6

2,029.4 229.9

77.5 845.4 610.1 177.2 622.5

45.7

376.7 59.3

489.5 233.1

3,588.2 509.0 456.0

92.3 261.2

1,967.4 809.0

164.8 104.8

1,537.4 618.8 330.8 282.4 381.8 461.2 143.2 673.7

992.3 1,090.9

645.3 220.2 677.1

93.5 204.3 336.3 147.1

1,049.6

182.5 2,478.7

737.8 82.5

1,342.6 327.2 354.5

1,575.4 136.5 349.3

88.5 611.5

2,031.5 231.3

77.1 850.1 613.4 177.1 623.4

45.6

377.3 59.4

493.8 232.5

3,594.0 513.0 456.4

92.3 261.5

1,975.0 814.2

165.0 105.7

1,539.6 621.7 331.7 282.9 381.9 463.2 143.6 673.6

996.0 1,095.1

646.6 221.8 679.2

93.6 205.3 337.5 146.9

1,052.5

182.7 2,482.5

739.3 83.1

1,347.4 329.9 356.5

1,573.7 136.6 349.9

88.9 613.8

2,039.5 232.6

77.5 851.8 615.7 177.8 625.4

45.8

376.5 59.0

495.6 233.3

3,595.3 517.8 452.7

91.6 260.1

1,987.4 814.6

165.1 106.5

1,544.2 617.7 332.7 282.1 380.3 466.4 146.1 676.1

987.7 1,098.0

644.9 216.3 674.0

94.2 207.2 337.5 146.0

1,053.5

184.0 2,487.0

740.3 82.7

1,348.8 327.3 354.7

1,573.0 136.5 348.2

89.3 615.8

2,033.4 233.8

76.1 855.6 613.3 177.3 626.3

46.1

376.9 59.2

499.5 234.0

3,624.2 518.4 453.2

92.8 259.4

1,995.5 818.2

165.2 106.9

1,550.3 624.2 333.5 282.9 381.8 469.4 147.0 675.6

994.4 1,102.3

649.1 219.4 681.4

94.7 208.4 340.5 146.9

1,057.2

184.2 2,495.3

739.2 83.2

1,356.6 327.5 356.1

1,582.9 136.3 350.3

89.8 619.0

2,052.3 235.3

76.6 856.3 615.7 177.4 628.0

46.4

377.2 59.4

502.1 236.3

3,631.4 520.0 453.5

92.9 260.6

2,000.7 825.1

165.0 107.2

1,555.4 623.8 336.5 283.9 383.0 470.6 147.9 679.6

995.7 1,102.5

652.1 218.3 684.5

94.9 209.4 342.4 147.4

1,060.0

185.5 2,505.4

742.7 83.1

1,363.0 325.7 360.6

1,582.0 136.9 351.9

89.6 622.8

2,073.6 235.4

77.3 859.1 618.4 177.7 631.5

46.2

378.9 59.3

501.5 237.2

3,633.7 519.5 456.4

92.9 260.3

2,010.7 827.0

165.2 106.1

1,553.2 623.5 339.4 285.3 385.2 474.0 147.6 681.1

1,000.3 1,108.4

654.7 218.5 683.1

96.6 209.6 343.7 145.9

1,065.3

186.4 2,514.7

744.4 83.6

1,361.2 327.2 361.6

1,576.2 137.5 352.6

89.0 628.1

2,086.2 237.5

78.3 863.1 621.5 177.9 632.1

46.3

379.7 59.8

501.9 237.2

3,638.1 521.0 457.0

92.7 261.2

2,022.4 829.5

164.9 105.6

1,546.3 619.4 340.6 286.0 387.2 476.3 147.6 681.9

999.4 1,116.1

655.3 218.3 680.9

97.7 210.2 343.8 145.4

1,069.2

186.3 2,520.1

745.5 83.3

1,361.8 328.7 365.2

1,570.7 137.8 353.8

88.8 629.5

2,093.3 240.0

77.9 864.7 621.8 178.6 633.9

45.7

382.9 59.7

501.0 237.7

3,642.6 521.9 457.0

93.2 263.3

2,036.6 834.2

164.7 106.8

1,545.2 621.0 343.6 287.4 388.2 474.7 148.0 682.6

999.0 1,107.7

659.2 215.7 682.6

97.6 210.3 345.7 144.7

1,072.1

186.7 2,525.3

745.1 83.1

1,359.3 329.0 367.1

1,574.6 138.4 356.9

89.2 627.0

2,113.0 241.3

77.7 868.6 623.6 178.7 637.5

45.9

60



SEASONALLY ADJUSTED


(In thousands)

State June July Aug. Sept. Oct. Jan. Feb. Apr. May

Government






348.6 73.8

273.0 172.8

2,093.2 297.7 216.8

50.4 270.9 902.9 562.8

113.2 92.5

779.2 386.5 229.0 233.4 279.2 347.7

94.9 418.6

389.7 634.4 361.5 214.9 384.5

74.9 150.7 90.0 75.6

569.6

164.4 1,421.9

539.0 66.7

740.7 271.1 231.7 716.1 61.1

296.8

67.9 365.4

1,413.6 161.2 44.8

604.4 438.0 134.7 364.9

57.6

340.6 73.7

270.0 174.0

2,091.3 300.9 219.1

50.6 268.7 899.9 562.5

112.0 92.9

786.1 383.5 224.8 225.8 278.5 348.8

93.0 419.3

388.1 636.9 360.0 219.7 385.3

74.7 150.4 92.8 78.3

569.2

163.6 1,426.3

536.9 67.3

736.4 271.9 233.5 712.8 61.8

297.7

67.6 365.9

1,423.9 161.3 44.8

603.2 434.4 132.7 368.3

58.8

341.7 74.1

284.7 175.3

2,097.2 302.0 220.4

51.1 266.3 892.0 562.5

112.1 92.7

790.9 381.0 225.8 233.1 278.8 348.6

92.4 419.3

389.6 637.7 360.7 222.4 382.9

77.8 151.2 93.1 78.1

569.7

162.8 1,424.0

545.5 67.7

739.7 271.9 234.9 713.4

61.7 297.4

66.8 365.7

1,434.7 160.5 44.7

603.5 436.9 136.7 364.7

59.4

346.6 74.0

294.5 172.0

2,098.3 301.3 221.5

50.9 266.5 909.9 562.2

112.3 93.3

787.6 389.7 226.6 234.2 286.1 351.0

92.5 422.1

395.8 640.1 358.7 218.7 387.0

77.0 151.1 94.6 77.7

570.1

163.0 1,415.4

547.0 68.0

748.4 271.4 235.7 722.4

61.5 297.4

67.6 369.1

1,431.0 161.8 45.0

602.4 438.1 135.2 363.1

58.1

344.4 73.3

286.2 173.1

2,104.5 300.9 219.3

50.8 265.7 909.4 570.6

112.4 94.0

787.4 388.1 227.2 236.2 284.6 355.4 92.7

422.4

396.4 639.4 361.2 219.7 387.7

76.7 151.1 93.5 77.6

571.1

163.9 1,412.6

550.3 67.3

743.4 270.9 236.7 719.3 61.7

296.4

67.1 369.6

1,431.4 162.1 44.9

603.7 443.7 134.7 363.7

58.0

357.7 73.5

288.7 173.4

2,103.8 300.4 219.5

50.8 264.6 950.5 571.7

112.3 94.1

787.8 389.5 229.9 245.4 285.6 356.1

92.6 423.2

397.0 645.6 361.5 220.0 390.4

78.5 155.5

95.0 77.5

569.8

166.4 1,415.7

551.7 67.2

742.4 271.4 239.1 719.6

62.4 310.1

68.1 389.8

1,434.6 161.8 45.3

604.7 443.8 146.8 366.8

58.5

343.6 73.1

287.8 173.6

2,103.5 301.8 219.6

50.9 263.9 913.3 571.3

112.3 94.9

785.8 390.0 228.0 236.8 285.4 356.7 92.8

423.2

396.6 641.7 361.4 220.1 390.0

76.0 151.0 94.3 77.2

570.1

165.2 1,408.7

551.5 67.1

743.8 272.2 237.8 720.6 61.7

295.0

67.2 371.6

1,436.9 161.9 45.6

602.5 443.9 135.6 363.9

57.8

343.7 73.8

289.7 173.9

2,102.5 300.6 215.9

50.8 260.8 910.9J 569.6

111.4 94.5

779.3 390.4 226.7 237.3 285.0 358.0

91.6 422.8

396.0 638.5 363.6 220.3 388.2

76.7 150.7

94.4 77.3

569.9

165.1 1,406.8

551.7 66.9

740.9 268.8 237.8 721.6

61.9 295.4

67.3 369.6

1,436.1 162.0 45.3

601.3 443.9 135.2 367.5

58.1

345.0 73.7

291.6 174.3

2,102.0 301.9 215.3

51.1 261.6 920.9 571.9

112.0 94.8

789.0 392.5 226.7 237.5 287.2 357.61

92.3 420.5

394.5 644.5 362.8 221.7 393.0

76.7 150.9 95.0 77.4

571.8

165.7 1,405.8

553.3 67.0

742.5 268.8 238.3 719.3 62.0

295.8

67.5 371.8

1,438.9 162.3

45.3 604.1 444.3 135.1 362.5

57.8

344.7 73.9

292.4 174.4

2,103.7 303.2 215.6

51.1 260.1 926.1 573.2

111.6 95.0

787.5 393.1 226.9 238.1 288.1 359.7 92.3

418.5

393.2 642.7 364.1 222.7 394.9

77.1 150.5 95.7 77.3

571.6

165.9 1,398.3

555.2 67.2

745.4 268.8 239.0 718.0 61.4

296.0

67.6 372.3

1,439.2 163.6 45.2

602.8 443.0 136.1 362.9

58.2

345.3 74.1

294.1 174.9

2,103.7 302.4 214.3

50.9 258.7 920.7 575.8

111.5 94.9

789.1 392.3 227.5 233.8 286.8 359.8 92.2

419.3

393.6 645.4 364.7 222.6 395.1

76.0 151.2 96.1 78.8

572.2

164.6 1,397.4

555.9 67.3

742.4 268.4 239.2 717.5 62.1

296.7

67.6 371.8

1,442.4 164.8 45.3

601.0 444.2 136.6 364.2

58.4

344.4 74.4

296.7 175.8

2,104.61 302.3 210.7

51.1 256.0 924.7 574.1

111.7 94.5

789.8 389.2 227.5 238.5 288.2 359.9

92.2 418.7

394.0 645.3 363.6 223.4 396.4

76.2 148.2 95.6 78.8

571.4

164.9 1,386.9

555.4 67.1

741.8 268.6 238.9 715.8 61.4

298.3

67.7 372.3

1,444.4 164.1 44.7

598.8 444.8 136.5 363.5

58.3

Includes mining, not shown separately. Mining is combined with construction. = preliminary.

NOTE: All data have been adjusted to March 1994 benchmarks and incorporate updated seasonal adjustment factors.

61


ESTABLISHMENT DATA HOURS SEASONALLY ADJUSTED

B-8. Average weekly hours of production or nonsupervisory workers1 on private nonfarm payrolls by major industry and manufacturing group, seasonally adjusted

Industry 1994


1995

Jan. Feb. Mar. Apr. May Junep J u l /

Total private

Goods-producing

Mining

Construction

Manufacturing Overtime hours

Durable goods Overtime hours

Lumber and wood products Furniture and fixtures Stone, clay, and glass products Primary metal industries



Nondurable goods Overtime hours

Food and kindred products Tobacco 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 Leather and leather products

Service-producing


Wholesale trade

Retail trade

Finance, Insurance, and real estate

Services

34.7

41.4

45.4

(2)

42.0 4.7

42.7 5.0

41.2 40.5 43.5 44.6 44.8 42.7 43.6 42.2 43.6 44.8 41.9 40.2

41.1 4.3

41.6 (2) 41.7 37.6 44.2 38.6 43.3 (2) 42.3

38.0

32.8

39.9

38.3

29.0 (2) (2)

34.6

41.4

44.6

(2) 42.0

4.7

42.9 5.0

41.2 40.5 43.4 44.7 45.1 42.9 43.6 42.2 44.4 45.9 41.8 40.0

40.9 4.2

41.3 (2) 41.6 37.6 44.1 38.6 43.2 (2) 42.2

38.6

32.7

39.7

38.2

28.9 (2) (2)

34.7

41.4

44.9

(2)

42.1 4.8

42.9 5.1

41.0 40.7 43.6 44.9 45.3 42.9 43.8 42.0 44.3 45.9 41.8 39.9

41.0 4.3

41.4 (2) 41.6 37.6 43.9 38.6 43.2 (2) 42.3 38.6

32.8

40.0

38.4

28.9

(2)

(2)

34.9

41.4

44.8

(2) 42.1

4.7

42.9 5.0

41.3 40.7 43.5 44.9 45.5 42.9 43.7 42.2 44.4 45.8 41.9 40.1

41.0 4.3

41.3 (2) 41.8 37.7 44.0 38.7 43.4 (2) 42.3

39.0

33.0

40.0

38.6

29.2 (2)

(2)

34.6

41.4

44.9

(2)

42.1 4.8

43.0 5.1

41.1 40.6 43.5 45.0 45.6 43.0 43.8 42.1 44.7 46.4 41.8 40.0

41.0 4.3

41.5 (2) 41.5 37.6 43.9 38.6 43.4 (2) 42.3 38.7

32.7

39.8

38.4

28.9

(2)

(2)

34.7

41.5

44.7

(2)

42.1 4.8

43.0 5.1

41.2 40.4 43.5 45.0 45.6 43.0 43.8 42.0 44.7 46.2 41.7 39.9

41.1 4.3

41.5 (2) 41.6 37.7 44.0 38.7 43.2 (2) 42.3

38.6

32.8

39.6

38.4

28.9 (2) (2)

34.8

41.6

44.9

(2) 42.2

4.9

43.0 5.3

41.2 40.8 43.6 44.8 45.7 43.2 44.0 42.1 44.6 46.1 41.8 40.1

41.0 4.4

41.5 (2) 41.8 37.5 44.0 38.5 43.3 (2) 42.3 38.0

32.9

39.8

38.4

29.0

(2)

(2)

34.6

41.4

44.9

(2)

42.1 4.8

43.0 5.2

40.9 40.5 43.3 44.8 45.4 43.1 44.0 41.9 44.7 46.1 41.7 40.2

41.0 4.3

41.3 (2) 41.9 37.7 43.9 38.5 43.4 (2) 42.3

38.4

32.7

39.7

38.4

28.8 (2) (2)

34.6

41.3

44.6

(2) 42.0

4.7

42.8 5.1

40.7 39.8 43.4 44.5 45.1 42.8 43.9 41.8 44.5 45.8 41.7 39.9

40.9 4.2

41.3 (2) 41.8 37.6 43.7 38.4 43.4 (2) 42.0

38.4

32.7

39.5

38.2

28.8 (2) (2)

34.6

40.7

44.7

(2) 41.5

4.5

42.3 4.9

40.4 38.7 42.5 43.5 45.4 42.0 43.3 41.5 44.3 43.1 41.5 40.1

40.4 4.0

40.7 (2) 41.0 37.0 43.0 38.2 43.4 (2) 41.2 38.1

32.9

39.8

38.3

29.1

(2)

(2)

34.2

40.6

44.3

(2) 41.4

4.4

42.1 4.6

40.3 39.2 42.4 43.8 44.1 42.1 43.4 41.4 43.4 44.2 41.3 39.8

40.4 4.0

41.0 (2) 40.4 36.9 42.9 38.4 43.2 (2) 41.6

38.5

32.4

39.1

37.9

28.7 (2) (2)


2 These series are not published seasonally adjusted because the seasonal components, which are small relative to the trend-cycle and

irregular components, cannot be separated with sufficient precision. p = preliminary. NOTE: Establishment survey estimates are currently projected from


62


ESTABLISHMENT DATA HOURS

SEASONALLY ADJUSTED

B-9. Indexes of aggregate weekly hours of production or nonsupervisory workers1 on private nonfarm payrolls by major industry and manufacturing group, seasonally adjusted

(1982 = 100)

Industry 1994


1995

Jan. Feb. Mar. Apr. May Junep July'

Total private

Goods-producing

Mining

Construction

Manufacturing





Service-producing


Wholesale trade

Retail trade


Services

129.9

109.2

55.2

137.4

106.8

105.6 135.7 127.0 108.3 91.0 73.2

110.1 99.0

105.5 114.7 149.2

75.6 105.6

108.3 115.4

61.9 98.9 89.4

112.9 126.3 102.3

80.4 142.2

52.5

139.2

122.9

116.3

128.5

125.0

162.6

129.9

109.5

54.1

137.3

107.3

106.6 136.1 127.0 108.3 91.3 73.3

111.2 99.6

106.5 118.3 156.2

75.1 105.0

108.2 114.5

64.4 98.9 89.6

112.7 126.8 101.7 81.2

142.4 53.3

139.1

122.6

116.5

128.3

124.0

162.7

130.8

110.0

54.8

139.1

107.5

106.9 135.7 127.6 108.6

92.4 74.0

111.3 100.5 106.5 118.3 156.8

75.1 104.8

108.3 114.7

63.4 98.3 89.6

111.7 126.7 102.0 85.2

143.3 52.8

140.1

123.8

117.4

128.7

124.2

164.2

131.8

110.3

54.3

138.5

107.9

107.5 137.2 127.9 108.9

93.1 74.7

112.2 100.7 106.9 119.5 158.3

74.9 105.7

108.5 114.2 63.9 99.2 89.8

112.4 127.1 102.7 82.1

144.1 53.3

141.4

124.0

118.3

130.1

126.5

165.8

131.5

110.9

54.6

140.3

108.4

108.2 137.4 128.3 109.7

94.0 74.9

113.2 101.4 107.7 120.9 161.2

74.9 105.8

108.6 115.4

62.9 98.6 89.0

112.4 126.8 102.7

81.4 144.9

52.8

140.7

124.0

118.0

129.5

124.0

165.0

132.0

111.4

54.3

142.0

108.6

108.5 137.9 127.6 109.9 94.3 74.9

114.0 101.6 108.1 120.9 160.8

74.9 105.1

108.8 115.5

63.9 98.7 89.0

112.6 127.4 102.4 82.1

145.6 52.8

141.2

124.1

118.5

129.7

124.2

166.0

132.7

112.0

54.7

143.9

108.9

109.0 137.9 129.2 110.7

94.1 75.1

115.2 102.5 108.7 120.9 161.8

74.7 106.1

108.8 116.3

60.4 99.0 88.1

112.8 126.8 102.8 79.8

146.8 51.9

141.9

124.9

118.9

130.4

125.3

166.7

132.4

111.7

54.7

142.1

109.0

109.2 136.9 128.6 110.4 94.4 74.6

115.6 102.9 108.9 121.8 162.6

74.5 106.4

108.7 115.5

60.9 98.9 88.0

112.4 126.9 102.8 81.4

146.9 51.9

141.6

125.0

119.5

129.6

124.0

166.6

132.5

111.7

54.5

143.8

108.6

108.9 136.2 126.1 111.0

94.0 74.5

115.2 103.1 108.2 121.6 162.5

74.3 105.1

108.2 115.6

58.1 98.3 87.1

111.9 126.6 102.9

79.9 145.5 51.9

141.8

125.0

119.2

129.5

124.0

167.4

132.8

109.9

54.3

140.0

107.1

107.6 133.9 121.7 108.7 92.2 74.6

113.2 102.3 107.2 121.1 153.1

74.2 105.3

106.6 113.7

59.0 96.4 84.9

110.3 125.5 103.0

78.6 142.6

50.9

143.0

126.2

119.6

130.6

126.7

168.4

131.0

108.9

53.8

136.9

106.6

106.9 132.3 122.3 107.7

92.5 72.8

113.0 102.4 107.0 118.3 156.4

73.6 104.1

106.3 114.6 58.2 94.2 83.9

109.8 126.0 102.6

76.0 143.2 50.9

141.0

123.6

118.5

128.8

122.8

166.5

132.4

109.9

54.4

142.2

106.6

107.0 132.7 121.7 108.9

92.5 72.6

112.7 102.4 107.1 118.8 157.4

73.5 104.7

106.1 116.1

60.3 93.1 82.7

109.2 125.6 103.3 78.1

141.0 50.0

142.5

124.2

119.9

129.9

124.7

168.6


p = preliminary.

NOTE: Establishment survey estimates are currently projected from March 1994 benchmark levels. When more recent benchmark data are introduced, all seasonally adjusted data from January 1991 forward are subject to revision.

63


ESTABLISHMENT DATA ALL-EMPLOYEE HOURS SEASONALLY ADJUSTED

B-10. Hours of wage and salary workers on nonfarm payrolls by major industry, seasonally adjusted

Industry

Millions of hours (annual rate)1

May 1995r

June 1995r

July 1995>

Percent change

Jury 1994 to

July 1995?

May 1995 to

June 1995r

June 1995 to

Jury 1995p

Total

Private sector



Transportation and public utilities.... Wholesale trade Retail trade , Finance, insurance, and real estate, Services

Government

213,331

175,121

1,336 10.147 39,814 23,220 16,595 12,586 12,412 30,963 12,723 55,139

38,210

215,302

176,952

1,352 10,527 39,812 23,243 16,570 12,693 12,548 31,255 12,913 55,853

38,350

215,991

177,797

1,346 10,636 39,462 23,022 16,440 12,833 12,648 31,336 13,229 56,308

38,194

2.0

2.2

-4.0 4.6

-1.0 .0

-2.3 2.6 3.5 1.6 2.2 4.4

.9

.9

1.0

1.2 3.7

.0

.1 -.2 .8

1.1 .9

1.5 1.3

-.4 1.0 -.9 -.9 -.8 1.1 .8 .3

2.4 .8

1 Total hours paid for 1 week in the month, seasonally adjusted, multiplied by 52.

p s preliminary. r = revised. NOTE: Data refer to hours of all employees—production workers, nonsup-

ervisory workers, and salaried workers—and are based largely on establishment data. See BLS Handbook of Methods, BLS Bulletin 2414, chapter 10, "Productivity Measures: Business Sector and Major Subsectors".

SOURCE: Office of Productivity and Technology (202—606-5606).

64


ESTABLISHMENT DATA EARNINGS

SEASONALLY ADJUSTED

B-11. Average hourly and weekly earnings of production or nonsupervisory workers1 on private nonfarm payrolls by major industry, seasonally adjusted

Industry 1994 1995

July Aug. Sept. Oct. Nov. Dec. Jan. Feb. Mar. Apr. May Junep Julyp

Average hourly earnings

Total private (in current dollars)

Goods-producing


Excluding overtime2

Service-producing

Transportation and public utilities Wholesale trade Retail trade Finance, insurance, and real estate ... Services

Total private (in constant (1982) dollars)1

Goods-producing Service-producing

Total private (in current dollars)

Goods-producing


Service-producing

Transportation and public utilities Wholesale trade Retail trade Finance, insurance, and real estate ... Services

Total private (in constant (1982) dollars)1

Goods-producing Service-producing

$11.13

12.72

14.84 14.76 12.06 11.42

10.57

13.84 12.06 7.50

11.82 11.06

7.39 8.45 7.02

$11.14

12.74

14.85 14.74 12.09 11.44

10.57

13.87 12.05 7.51

11.811 11.06

7.37 8.43 7.00

$11.18

12.78

14.95 14.82 12.12 11.47

10.62

13.88 12.08 7.53

11.90 11.11

7.38 8.44 7.01

$11.25

12.81

15.04 14.90 12.14 11.49

10.70

13.99 12.22 7.56

12.05 11.20

7.42 8.45 7.06

$11.24

12.83

15.04 14.84 12.17 11.52

10.68

14.02 12.15 7.56

11.99 11.17

7.40 8.45 7.03

$11.27

12.83

15.08 14.81 12.18 11.53

10.71

14.01 12.20 7.60

12.01 11.21

7.40 8.43 7.04

$11.29

12.84

15.08 14.74 12.21 11.56

10.74

14.03 12.23 7.59

12.06 11.26

7.39 8.41 7.03

$11.32

12.89

15.12 14.88 12.24 11.60

10.76

14.00 12.24 7.60

12.09 11.28

7.39 8.42 7.03

$11.34

12.91

15.15 14.90 12.25 11.61

10.79

14.05 12.27 7.61

12.16 11.30

7.38 8.40 7.02

$11.40

12.94

15.17 14.95 12.28 11.72

10.87

14.15 12.41 7.63

12.28 11.39

7.40 8.40 7.05

$11.37

12.94

15.18 14.99 12.28 11.67

10.83

14.13 12.31 7.65

12.19 11.34

7.36 8.38 7.01

$11.42

13.01

15.29 15.10 12.31 11.71

10.87

14.18 12.37 7.67

12.32 11.37

7.39 8.42 7.03

Average weekly earnings

386.21

526.61

673.74 (5)

506.52

346.70

552.22 461.90 217.50

(5) (5)

256.45 349.67 230.21

385.44

527.44

662.31 0 507.78

345.64

550.64 460.31 217.04 (5) (5)

255.09 349.07 228.75

387.95

529.09

671.26 (5)

510.25

348.34

555.20 463.87 217.62 (5) (5)

256.24 349.46 230.08

392.63

530.33

673.79 (5)

511.09

353.10

559.60 471.69 220.75

(5) (5)

258.99 349.82 232.92

388.90

531.16)

675.30 (5)

512.36

349.24

558.00 466.56 218.48 (5) (5)

256.02 349.68 229.91

391.07

532.45

674.08 (5)

512.78

351.29

554.80 468.48 219.64 (5) (5)

256.94 349.84 230.81

392.89

534.14

677.09

515.26

353.35

558.39 469.63 220.11 (5) (5)

257.30 349.80 231.40

391.67

533.65

678.89 (5)

515.30

351.85

555.80 470.02 218.88 (5) 0

255.83 348.56 229.82

392.36

533.18

675.69 (5)

514.50

352.83

554.98 468.71 219.17

(5) (5)

255.44 347.12 229.71

394.44

526.66

678.10 (5)

509.62

357.62

563.17 475.30 222.03

(5) (5)

255.96 341.77 232.07

388.85

525.36

672.47 (5)

508.39

350.89

552.48 466.55 219.56 (5) (5)

251.85 340.26 227.26

393.99

532.11

686.52 (5)

510.87

355.45

557.27 472.53 221.66

(5) (5)

254.84 344.18 229.92


2 Derived by assuming that overtime hours are paid at the rate of time and one-half.

3 The Consumer Price Index for Urban Wage Earners and Clerical Workers (CPI-W) is used to deflate these series.

4 Not available. 5 These series are not computed because the average weekly hours'

components are not available on a seasonally adjusted basis. p = preliminary. NOTE: Establishment survey estimates are currently projected from March

1994 benchmark levels. When more recent benchmark data are introduced, all seasonally adjusted data from January 1991 forward are subject to revision.

65


ESTABLISHMENT DATA EMPLOYMENT NOT SEASONALLY ADJUSTED

B-12. Employees on nonfarm payrolls by detailed industry

(In thousands)

Industry 1987 SIC

Code

All employees

June 1994

July 1994

May 1995

June 1995p

July 1995p

Production workers1

June 1994

July 1994

May 1995

June 1995p

Total

Total private

Mining

Metal mining Iron ores Copper ores

Coal mining Bituminous coal and lignite mining

Oil and gas extraction Crude petroleum and natural gas Oil and gas field services

Nonmetallic minerals, except fuels Crushed and broken stone Sand and gravel Chemical and fertilizer minerals

Construction

General building contractors Residential building construction Operative builders Nonresidential building construction

Heavy construction, except building Highway and street construction Heavy construction, except highway

Special trade contractors Plumbing, heating, and air conditioning Painting and paper hanging Electrical work Masonry, stonework, and plastering Carpentry and floor work Roofing, siding, and sheet metal work

Manufacturing

Durable goods

Lumber and wood products Logging Sawmills and planing mills

Sawmills and planing mills, general Hardwood dimension and flooring mills ...

Millwork, plywood, and structural members Millwork Wood kitchen cabinets Hardwood veneer and plywood Softwood veneer and plywood

Wood containers Wood buildings and mobile homes

Mobile homes Miscellaneous wood products

Furniture and fixtures Household furniture

Wood household furniture Upholstered household furniture Metal household furniture Mattresses and bedsprings


10 101 102

12 122

13 131 138

14 142 144 147

15 152 153 154

16 161 162

17 171 172 173 174 175 176

24 241 242 2421 2426 243 2431 2434 2435 2436 244 245 2451 249

25 251 2511 2512 2514 2515

114,961

95,789

605

49.3 8.9

14.4

113.2 105.9

335.4 163.3 167.1

107.4 41.2 34.6 13.9

5,225

1,234.3 633.8 28.9

571.6

792.8 263.8 529.0

3,197.8 695.4 184.9 566.0 450.6 218.6 214.9

18,396

10,487

762.8 82.9

190.9 152.0 37.0

276.4 112.6

75.4 24.5 29.6 50.3 72.9 55.1 89.4

504.7 284.8 127.5

91.4 22.5 30.5

114,004

95,923

607

49.7 9.0

14.6

113.0 105.6

336.2 163.0 168.2

107.6 41.3 34.7 14.0

5,344

1,258.7 645.4 29.4

583.9

806.9 272.3 534.6

3,278.5 713.7 190.4 585.1 467.4 219.6 222.2

18,278

10,390

768.1 85.9

190.4 152.0

36.4 278.1 113.0 76.4 24.2 29.6 49.8 74.1 55.9 89.8

497.2 277.4 123.5

90.0 21.3 30.2

116,858

97,220

580

51.2 9.0

15.5

106.7 99.5

315.7 149.0 159.9

106.8 41.1 34.2 14.2

5,265

1,236.0 622.4

28.2 585.4

763.2 245.9 517.3

3,265.3 721.1 186.6 597.0 455.0 216.7 213.8

18,417

10,613

752.8 76.8

186.4 146.9

37.5 271.6 110.4

75.9 25.0 29.0 50.8 76.1 58.9 91.1

500.5 279.9 123.6

90.6 23.1 30.7

117,568

98,230

586

52.5 9.3

15.7

106.3 99.0

318.9 150.4 161.6

108.1 41.7 35.0 14.0

5,460

1,280.6 642.0

28.7 609.9

793.5 266.4 527.1

3,385.5 740.4 200.5 613.9 467.3 226.1 226.9

18,518

10,653

763.7 82.1

187.5 148.2 37.3

274.1 111.0

76.5 25.0 29.3 51.2 76.9 59.4 91.9

499.5 277.2 123.7

89.7 21.0 30.7

116,411

98,195

588

52.8

106.5

320.0

108.6

5,560

1,297.7

807.7

3,454.4

18,318

10,522

762.7

486.8

78,307

430

39.9 7.4

11.9

91.3 85.3

217.1 80.3

133.8

81.5 32.2

4,079

881.7 435.8

12.5 433.4

671.6 223.4 448.2

2,525.2 511.9 154.4 441.6 389.6 169.0 174.1

12,687

7,138

632.0 68.1

165.9 131.8

32.5 223.2

88.7 60.7 21.3 26.4 43.0 58.8 46.4 73.0

399.8 238.4 109.3

76.9 18.4 23.2

78,399

433

40.1 7.5

12.0

91.4 85.3

219.3 80.8

135.5

82.0 32.4

4,190

904.9 447.3

12.8 444.8

683.9 230.4 453.5

2,601.5 529.3 159.4 460.4 405.6 169.9 180.8

12,574

7,047

635.3 70.6

165.0 131.5

31.8 224.3

89.2 61.1 20.9 26.4 42.4 59.5 46.9 73.5

391.7 230.9 105.0 75.6 17.3 23.1

79,473

423

41.5 7.5

12.7

85.9 80.1

213.7 79.9

130.3

81.8 32.5

4,080

875.2 424.8

11.8 438.6

639.6 203.0 436.6

2,564.9 528.9 156.7 466.6 394.4 161.7 169.8

12,745

7,281

618.9 61.5

161.5 126.9

32.9 217.6

86.0 61.0 21.5 25.7 43.2 61.0 49.4 74.1

396.2 233.9 105.3

76.3 18.9 23.6

80,387

428

42.4 7.8

12.7

85.5 79.5

217.6 81.5

132.4

82.9 32.9

4,262

919.1 444.5

12.4 462.2

667.8 223.3 444.5

2,674.7 545.9 169.2 481.6 405.0 171.2 181.8

12,812

7,302

628.5 66.4

162.2 128.1 32.5

219.7 86.5 61.4 21.5 25.9 43.7 61.7 49.8 74.8

395.1 230.9 105.4 75.6 16.8 23.5

66



NOT SEASONALLY ADJUSTED

B-12. Employees on nonfarm payrolls by detailed industry—Continued

(In thousands)

Industry 1987 SIC

Code

All employees

June 1994

July 1994

May 1995

June 1995p

July 1995p

Production workers1

June 1994

July 1994

May 1995

June 1995p

Durable goods—Continued Furniture and fixtures—Continued

Office furniture Public building and related furniture Partitions and fixtures Miscellaneous furniture and fixtures

Stone, clay, and glass products Flat glass Glass and glassware, pressed or blown

Glass containers Pressed and blown glass, nee

Products of purchased glass Cement, hydraulic Structural clay products Pottery and related products Concrete, gypsum, and plaster products

Concrete block and brick Concrete products, nee Ready-mixed concrete

Misc. nonmetallic mineral products Abrasive products Asbestos products Mineral wool

Primary metal industries Blast furnaces and basic steel products

Blast furnaces and steel mills Steel pipe and tubes

Iron and steel foundries Gray and ductile iron foundries Malleable iron foundries Steel foundries, nee

Primary nonferrous metals Primary aluminum

Nonferrous rolling and drawing Copper rolling and drawing Aluminum sheet, plate, and foil Nonferrous wire drawing and insulating

Nonferrous foundries (castings) Aluminum foundries

Fabricated metal products Metal cans and shipping containers

Metal cans Cutlery, handtools, and hardware

Hand and edge tools, and blades and handsaws Hardware, nee

Plumbing and heating, except electric Plumbing fixture fittings and trim Heating equipment, except electric

Fabricated structural metal products Fabricated structural metal Metal doors, sash, and trim Fabricated plate work (boiler shops) Sheet metal work Architectural metal work

Screw machine products, bolts, etc Screw machine products Bolts, nuts, rivets, and washers

Metal forgings and stampings Iron and steel forgings Automotive stampings Metal stampings, nee

252 253 254 259

32 321 322 3221 3229 323 324 325 326 327 3271 3272 3273 329 3291 3292 3296

33 331 3312 3317 332 3321 3322 3325 333 3334 335 3351 3353 3357 336 3365

34 341 3411 342 3423,5 3429 343 3432 3433 344 3441 3442 3443 3444 3446 345 3451 3452 346 3462 3465 3469

62.2 40.3 80.6 36.8

543.5 15.0 77.5 33.9 43.6 60.7 18.5 32.5 40.8

207.1 18.0 67.1 105.0 77.1 20.3 3.2

23.4

700.5 239.3 172.3 27.0 125.8 79.4 5.4

25.9 40.6 22.8 167.0 23.7 23.3 73.3 84.6 24.7

1,394.2 42.4 34.5| 130.4 45.1 73.1 59.4 25.0 20.3

410.7 68.6 76.1 97.8 102.8 27.2 96.1 48.8 47.3

235.7 30.1 107.5 86.9

63.0 38.3 81.4 37.1

542.6 14.7 76.6 33.1 43.5 59.5 18.4 32.8 40.8

208.9 18.1 67.8 105.9 76.9 20.0 3.1

23.4

695.1 240.0 172.8 27.0 122.3 75.8 5.4

26.0 40.7 22.8 165.8 23.7 23.1 72.6 82.8 24.0

1,378.2 42.8 34.8 128.7 44.0 72.6 59.2 24.7 20.8

413.8 69.2 77.2 97.0 104.4 27.4 94.9 48.0 46.9

223.6 29.4 97.9 85.1

62.0 39.7 82.1 36.8

547.3 15.1 75.4 31.3 44.1 62.2 17.8 32.9 42.1

207.9 17.6 68.5 104.7 79.4 20.2 3.0

23.9

717.3 239.8 171.5 27.2 131.8 82.7 5.5

27.5 40.9 22.8 170.1 24.1 23.0 76.0 89.9 26.4

1,437.2 42.0 33.8 131.9 45.5 73.9 60.1 25.0 20.7

426.4 72.0 76.8 100.9 107.3 28.0 99.7 51.5 48.2

247.4 31.5 113.1 91.0

62.7 40.3 82.7 36.6

555.3 14.9 75.8 31.6 44.2 63.2 18.4 33.0 42.3

213.0 18.1 70.0 107.6 80.1 20.6 3.0

24.3

718.6 241.2 172.5 27.4 131.4 82.9 5.6

27.5 41.2 22.9 169.9 24.2 22.9 75.9 89.8 26.8

1,440.9 42.0 33.9 132.7 46.0 74.2 59.3 23.7 21.1

429.1 72.5 77.0 101.0 107.9 28.8 100.0 51.7 48.3

245.9 31.4 111.2 91.6

549.8

706.7 240.7

1,419.8

45.3 32.0 59.1 25.0

422.2 11.7 64.4 30.5 33.9 45.9 14.2 25.4 32.4 159.2 11.6 50.3 83.8 58.7 15.8 2.6

538.4 181.7 131.5 20.1 102.2 65.1 4.2

20.9 30.5 17.8

124.3 18.3 16.3 54.4 68.1 20.0

1,042.6| 36.3 29.9 98.4 34.8 55.3 42.8 18.9 13.3

296.7 49.6 56.3 68.3 77.9 19.2 74.4 39.4 35.0 188.6 23.2 90.7 66.7

45.8 30.0 59.9 25.1

420.6 11.3 63.1 29.5 33.6 44.6 14.2 25.6 32.5 160.5 11.7 50.9 84.3 58.9 15.7 2.6

532.4 182.2 132.0 20.1 98.8 61.9 4.1

20.9 30.7 17.8

122.5 18.2 16.2 53.1 66.6 19.4

1,026.6 36.6 30.2 96.7 33.8 54.6 42.7 18.6 13.8

299.5 50.2 57.5 67.7 79.2 19.4 73.7 38.9 34.8 176.5 22.6 81.1 64.8

45.6 31.7 60.4 24.6

424.2 11.9 63.2 28.0 35.2 47.7 13.5 25.4 33.9 158.6 11.2 51.2 82.8 59.6 15.0 2.5

556.7 183.4 131.8 20.4 107.2 68.5 4.3

22.5 31.1 17.9

128.6 18.7 16.6 57.3 73.5 21.7

1,080.1 35.9 29.4 99.5 34.9 56.1 43.1 16.6 13.7

310.1 52.2 57.1 72.0 81.4 20.0 78.6 42.2 36.4 198.7 24.4 95.31 70.2

46.5 32.2 61.0 24.5

430.8 11.8 63.6 28.3 35.3 48.7 14.0 25.4 33.9 162.9 11.5 52.5 85.4 60.0 15.2 2.5

559.0 185.0 132.9 20.5 107.7 68.7 4.3

22.6 31.4 18.0

128.5 18.7 16.6 57.4 73.3 21.9

,082.7 36.1 29.6 100.0 35.2 56.3 42.4 17.4 14.1

312.5 52.7 57.3 72.0 81.9 20.9 78.7 42.3 36.4 197.1 24.4 93.4 70.6


67




(In thousands)

Industry 1987 SIC

Code

All employees

June 1994

July 1994

May 1995

June July 1995p

Production workers1

June 1994

July 1994

May 1995

June 1995p

Durable goods—Continued Fabricated metal products—Continued

Metal services, nee Plating and polishing Metal coating and allied services

Ordnance and accessories, nee Ammunition, except for small arms, nee

Miscellaneous fabricated metal products Valves and pipe fittings, nee Misc. fabricated wire products

industrial machinery and equipment Engines and turbines

Turbines and turbine generator sets Internal combustion engines, nee

Farm and garden machinery Farm machinery and equipment

Construction and related machinery Construction machinery Mining machinery Oil and gas field machinery Conveyors and conveying equipment Industrial trucks and tractors

Metalworking machinery Machine tools, metal cutting types Machine tools, metal forming types Special dies, tools, jigs, and fixtures Machine tool accessories Power driven handtools

Special industry machinery Textile machinery Printing trades machinery Food products machinery

General industrial machinery Pumps and pumping equipment Ball and roller bearings Air and gas compressors Blowers and fans Speed changers, drives, and gears Power transmission equipment, nee

Computer and office equipment Electronic computers Computer terminals, calculators, and

office machines, nee Refrigeration and service machinery

Refrigeration and heating equipment Misc. industrial and commercial machinery

Carburetors, pistons, rings, valves Scales, balances, and industrial machinery, nee

Electronic and other electrical equipment Electric distribution equipment

Transformers, except electronic Switchgear and switchboard apparatus

Electrical industrial apparatus Motors and generators Relays and industrial controls

Household appliances Household refrigerators and freezers Household laundry equipment Electric housewares and fans


347 3471 3479 348 3483 349 3494 3496

35 351 3511 3519 352 3523 353 3531 3532 3533 3535 3537 354 3541 3542 3544 3545 3546 355 3552 3555 3556 356 3561 3562 3563 3564 3566 3568 357 3571

3575,8,9 358 3585 359 3592 3596,9

36 361 3612 3613 362 3621 3625 363 3632 3633 3634

124.4 76.4 48.0 54.0 30.6

241.1 24.6 56.4

1,999.2 90.7 28.6 62.1

106.3 78.1

214.0 80.3 15.5 37.1 37.0 27.7

322.7 37.7 16.4

152.7 49.4 24.3

153.8 15.2 21.5 23.8

242.3 30.4 37.1 26.9 32.1 15.2 20.3

356.6 204.4

55.6 192.6 131.0 320.2

22.1 254.6

1,575.7 82.8 41.6 41.2

157.5 78.2 60.2

126.1 31.8 17.7 29.3

123.0 75.1 47.9 53.3 30.1

238.9 24.2 56.2

1,978.8 88.0 28.8 59.2

103.5 77.7

205.5 71.3 15.4 36.8 37.4 28.0

322.0 37.7 16.5

151.6 49.5 24.5

154.6 15.1 21.5 24.0

242.6 30.3 36.9 27.0 32.4 15.2 20.1

354.5 202.5

55.8 188.4 127.7 319.7

22.2 254.0

1,564.4 81.3 39.9 41.4

156.0 77.6 59.3

123.2 32.8 17.6 28.1

128.4 78.1 50.3 50.9 28.1

250.4 25.7 58.1

2,040.1 87.8 28.2 59.6

106.9 78.5

215.2 77.6 16.4 35.2 39.4 30.2

340.0 40.0 17.8

160.2 52.5 25.4

165.0 15.5 22.2 25.0

251.8 30.6 37.7 27.1 33.7 16.0 21.2

336.2 187.7

56.5 201.8 138.3 335.4 23.2

267.2

1,616.9 81.8 41.1 40.7

160.5 79.9 60.9

124.6 30.3 18.4 29.3

129.3 78.9 50.4 51.0 28.1

251.6 26.0 58.3

2,050.1 86.3 27.5 58.8

103.1 78.4

218.1 78.6 16.5 35.7 40.5 30.3

342.5 40.4 18.2

160.6 53.0 25.6

167.0 15.6 22.3 25.4

254.2 30.9 38.0 27.0 34.1 16.4 21.4

338.8 189.2

56.8 203.2 138.8 336.9

23.0 268.4

1,626.0 82.5 41.5 41.0

161.0 79.4 61.8

123.1 30.3 18.2 29.6

2*035.0

338.3

1,618.8

97.7 59.6 38.1 30.0 14.2

177.7 18.2 43.3

1,238.4 57.2 16.7 40.5 78.5 56.1

134.2 51.9

9.0 24.6 20.6 18.5

227.6 23.2 10.4

116.1 34.3 16.6 89.3

9.9 11.4 14.7

154.5 16.9 29.4 14.7 21.7 10.6 13.6

123.2 58.3

21.8 137.0

97.9 236.9

18.3 192.8

1,014.1 57.9 30.2 27.7

111.1 61.0 36.1

103.3 28.2 14.8 23.0

96.2 58.4 37.8 29.51 13.8

175.2 17.9 43.1

1,223.4 56.0 16.8 39.2 75.9 55.9'

129.1 46.6

9.0 24.5 20.6 18.6

226.7 23.2 10.5

115.0 34.6 16.4 89.1

9.8 11.3 14.7

154.0 16.6 29.2 14.9 21.8 10.4 13.3

123.2 57.9

21.3 133.0

94.4 236.4

18.4 192.3

,000.7 57.5 29.6 27.9

109.5 60.3 35.2

100.5 29.2 14.9 21.8

100.9 61.3 39.6 28.3 12.7

185.0 19.3 44.4

1,284.3 55.5 16.4 39.1 78.7 56.61

140.6 53.2

9.7 24.1 22.9 20.6i

242.5 24.6 11.6

122.3 37.01 17.7 95.4 10.3 11.9 15.5

161.6 17.3 29.8 15.6 22.7 11.2 14.5

115.2 53.1

20.1 145.0 105.0 249.8

18.6 203.8

1,042.4 57.6 30.1 27.5

113.2 62.6 36.3

101.8 26.5 15.8 22.4

101.7 61.9 39.81 28.3 12.7

185.9 19.6 44.6

1,286.8 54.1 15.7 38.4 75.0 56.3

142.0 53.8

9.7 24.3 23.2 20.7

243.9 24.9 11.9

122.2 37.3 17.8 95.91 10.4 11.8 15.7

163.1 17.5 30.1 15.6 22.9 11.5 14.6

116.6 53.7

20.1 145.4 104.9 250.8

18.4 204.6

1,043.9 57.9 30.3 27.6

113.5 62.1 37.0

100.2 26.4 15.5 22.8

68




B-12. Employees on nonfarm payrolls by detailed Industry—Continued

(In thousands)

Industry 1987 SIC

Code

All employees

June 1994

July 1994

May 1995

June 1995p

July 1995p

Production workers1

June 1994

July 1994

May 1995

June 1995p

Durable goods—-Continued Electronic and other electrical equipment—Continued

Electric lighting and wiring equipment Electric lamps Current-carrying wiring devices Noncurrent-carrying wiring devices Residential lighting fixtures

Household audio and video equipment Household audio and video equipment

Communications equipment Telephone and telegraph apparatus

Electronic components and accessories Electron tubes Semiconductors and related devices Electronic components, nee

Misc. electrical equipment and supplies Storage batteries Engine electrical equipment

Transportation equipment Motor vehicles and equipment

Motor vehicles and car bodies Truck and bus bodies Motor vehicle parts and accessories Truck trailers

Aircraft and parts Aircraft Aircraft engines and engine parts Aircraft parts and equipment, nee

Ship and boat building and repairing Ship building and repairing Boat building and repairing

Railroad equipment Guided missiles, space vehicles, and parts

Guided missiles and space vehicles Miscellaneous transportation equipment

Travel trailers and campers

Instruments and related products Search and navigation equipment Measuring and controlling devices

Environmental controls Process control instruments Instruments to measure electricity

Medical instruments and supplies Surgical and medical instruments Surgical appliances and supplies

Ophthalmic goods Photographic equipment and supplies *.. Watches, clocks, watchcases, and parts

Miscellaneous manufacturing industries Jewelry, silverware, and plated ware

Jewelry, precious metal Musical instruments Toys and sporting goods

Dolls, games, toys, and children's vehicles Sporting and athletic goods, nee

Pens, pencils, office, and art supplies Costume jewelry and notions

Costume jewelry Miscellaneous manufactures

Signs and advertising specialties

364 3641 3643 3644 3645 365 3651 366 3661 367 3671 3674 3679 369 3691 3694

37 371 3711 3713 3714 3715 372 3721 3724 3728 373 3731 3732 374 376 3761 379 3792

38 381 382 3822 3823 3825 384 3841 3842 385 386 387

39 391 3911 393 394 3942,4 3949 395 396 3961 399 3993

176.5 21.4 61.3 19.7 20.9I 87.8 62.0

243.1 108.7 545.0

24.8 222.2 131.8 156.9

25.8 69.7

1,752.2 899.9 338.8

39.4 467.5

33.4 479.4 271.1 94.1

114.2 160.3 107.4

52.9 35.3

107.3 75.5 50.9 21.5

864.3 179.2 284.3 43.8 62.1 71.3

266.1 101.9 97.5 38.0 88.3

8.4

390.1 50.5 37.6 13.5

114.3 43.1 71.2 33.1 28.8 17.3

149.9 61.4

173.8 20.9 61.3 19.3 20.4 89.0 62.8

243.1 109.4 545.4

24.7 224.2 131.3 152.6 24.6 66.5

1,720.0 878.4 326.3

39.4 459.7

32.5 473.4 268.8

92.0 112.6 160.6 107.4

53.2 35.6

105.8 74.8 48.9 21.5

858.3 175.7 284.4 43.9 61.8 71.3

264.6 101.9 96.1 37.4 88.0

8.2

387.6 49.3 36.8 13.1

114.2 42.5 71.7 32.8 28.1 16.9

150.1 62.1

182.3 23.6 64.5 19.7 20.8 91.9 62.0

249.2J 109.9 573.0

24.6 235.6 136.7 153.6

25.5 68.0

1,764.8 942.5 358.9

41.3 487.3

36.1 450.7 250.3 88.4

112.0 163.7 106.1

57.6 38.6 99.0 70.7 51.0 22.1

843.9 164.6 287.9

44.5 62.7 71.1

260.7 100.2

94.7J 35.9 86.7

8.1

392.1 50.0 37.2 14.0

118.1 44.0 74.1 32.8 26.3 15.2

150.9 62.7

183.1 24.0 64.5 19.5 20.5 91.9 62.8

251.3 110.9 580.0 24.7

239.8 137.9 153.1 26.0 66.9

1,758.9 940.5 355.6

41.9 487.8

35.5 448.5 248.0 88.6

111.9 162.9 106.3

56.6 38.5 98.7 70.8 50.4 21.1

845.8 164.0 288.7 44.8 63.0 70.2

262.3 100.8 95.1 36.2 86.9

7.7

394.4 50.2 37.3 14.1

118.3 44.6 73.7 33.0 26.1 15.0

152.7 63.7

582.9

1,716.7 909.9

440.0

840.7

384.9

128.1 16.8 41.1 14.7 15.6 58.4 39.4

123.8 59.5

321.2 16.4 96.4 86.3

110.3 20.01 54.2

1,149.0 696.7 244.2 31.7

377.0 27.1

220.9 108.2 46.1 66.6

124.5 79.9 44.6 26.2 30.6 19.3 35.8 17.8

423.8 54.9

145.8 28.7 29.8 33.5

153.1 61.8 61.7 25.0 38.2

6.8

277.6 35.4 26.2 10.9 81.1 28.7 52.4 22.3 21.4 12.7

106.5] 41.1

124.0 15.5 40.9 14.4 14.9 59.2 39.8

123.0 59.2

321.3 16.3 97.4 85.8

105.7 18.9 50.7

1,120.7 676.7 233.9

31.6 368.4

26.3 216.9 106.8 44.9 65.2

124.0 79.1 44.9 26.5 29.9 19.0 33.9 17.8

419.7 53.9

145.1 28.7 29.3 33.1

151.4 61.3 60.7 24.5 38.1

6.7

275.4 34.1 25.5 10.6 80.9 27.9 53.0 22.1 20.5 12.0

107.2 41.9

131.7 18.0 43.1 14.9 15.9 62.0 39.0

123.5 58.6

343.2 16.3

103.9 91.3

109.4 19.8 53.6

1,184.7 740.7 270.2

33.5 392.4

29.7 209.6

99.2 44.0 66.4

127.0 78.6 48.4 29.3 28.5 18.7 36.1 18.4

416.3 50.0

148.7 29.2 31.2 33.0

149.2 60.5 59.6 23.3 38.6

6.5

277.3 34.6 25.6 11.2 83.9 29.3 54.6 21.8 18.4 10.3

107.4 41.71

131.9 18.1 43.2 14.6 15.7 62.2 39.8

123.7 58.8

345.6 16.3

104.9 92.0

108.9 20.2 52.5

1,179.0 738.9 268.0

33.9 392.6

29.2 208.5

98.2 43.9 66.4

125.2 78.0 47.2 29.1 28.3 18.7 35.7 17.4

417.6 49.4

149.1 29.4 31.3 32.4

150.7 61.7 59.7 23.4 38.8

6.2

278.6 34.6 25.7 11.4 83.9 29.8 54.1 21.8 18.2 10.2

108.7 42.61


69




(In thousands)

Industry 1987 SIC Code

20 201 2011 2013 2015 202 2022 2026 203 2032 2033 2037 204 2041 2048 205 2051

2052,3 206 2061 2062 2063 2064 207 208 2082 2086 209 21 211 22 221 222 223 224 225 2251 2252 2253 2254 2257 226 2261 2262 227 228 2261 2282 229 23 231 232 2321 2325 2326 233 2331 2335 2337 2339

June 1994

7,909 1,680.4 450.0 136.1 90.4

223.5 151.5 39.8 65.9

243.0 21.1 74.4 53.2

127.6 19.6 42.4

213.6 154.0

59.6 92.4 5.3 4.9 6.8

47.6 32.1

181.0 37.7 97.9 189.2

38.9 29.9

677.3 80.8 68.4 18.2 23.3

200.6 25.9 40.8 58.6 24.7 28.2 73.0 32.8 25.1 64.3 96.1 74.6 14.5 52.6

982.1 39.9

263.7 61.8 82.0 42.9

296.3 31.4 49.3 34.6 181.0

All employees

July 1994

7,888 1,718.0 450.5 135.9 90.4

224.2 151.7 39.9 65.3

279.0 21.8 109.3 54.0

126.6 19.6 42.1

212.3 153.0

59.3 91.5 4.4 4.8 7.4

47.4 32.3

181.2 37.5 98.4

192.9

38.2 29.7

669.0 80.2 67.2 18.0 22.8 197.4 25.8 40.4 58.0 23.2 27.9 70.8 31.7 24.2 64.9 95.4 74.3 14.2 52.3

949.8 37.3

260.6 59.2 80.3 41.2

283.6 29.6 45.6 32.3 176.1

May 1995

7,804 1,647.8 459.4 140.0 91.2

228.2 150.3 39.1 64.8

218.5 19.5 63.4 46.8 124.8 18.7 42.2

210.1 151.6

58.5 92.1 5.1 4.6 8.2

48.1 33.3 178.9 36.2 97.6 180.4

36.2 27.3

663.5 79.3 66.8 17.7 23.6 194.6 24.1 40.8 55.4 23.7 27.8 71.9 31.9 24.9 64.8 93.7 71.8 14.8 61.1

934.5 36.1

256.8 58 4 79.9 40.1

276.5 27.4 44.4 32.4 172.3

June 1995p

7,865 1,694.2 467.7 141.6 93.2

232.9 153.6 40.3 65.5

242.3 19.8 72.2 55.4

125.5 18.8 42.4

211.0 152.3

58.7 92.9 5.0 4.6 7.6

49.0 34.0 182.0 36.9 99.4 185.2

36.5 27.6

662.7 79.8 66.9 17.5 23.7

194.6 24.1 40.5 55.5 23.7 27.6 72.3 31.9 25.1 64.3 92.4 70.8 14.6 51.2

930.0 35.9

256.6 58.0 80.5 40.0

273.1 27.2 44.3 32.7 168.9

July 1995p

7,796 1,723.1 ----------------_ ----------35.7 -

646.6 ------------------

890.9 ----------

June 1994

5,549 1,226.8 383.0 115.2 69.3 198.5 96.9 32.5 34.8

200.9 17.6 60.2 46.7 90.7 13.2 26.7 139.7 92.9

46.8 70.1 4.1 3.5 5.6

37.1 21.2 85.6 24.8 38.2 138.7

29.2 23.1

576.5 72.0 58.0 15.5 19.6

173.5 22.6 36.4 50.5 21.7 23.9 60.0 27.4 20.0 51.2 85.7 67.2 12.5 41.0

820.9 33.3

231.8 53.1 71.2 37.4

245.8 25.4 39.2 28.0 153.2

Production workers1

July 1994

5,527 1,263.5 383.0 115.0 69.5 198.5 97.4 32.6 34.7

235.9 18.1 94.1 47.6 89.8 13.2 26.4 138.6 92.4

46.2 69.6 3.3 3.4 6.1

37.1 21.4 85.8 24.9 38.7 142.0

28.8 23.2

567.1 70.6 56.9 15.3 19.1

170.1 22.5 36.0 49.9 20.2 23.5 58.0 26.4 19.2 51.7 84.9 66.8 12.2 40.5

791.3 30.7

224.5 50.5 69.5 35.9

234.2 23.8 35.9 25.8 148.7

May 1995

5,464 1,202.6 390.3 117.7 70.5

202.1 97.1 31.7 35.3 178.6 15.9 50.1 40.3 87.8 12.2 26.2 139.2 93.1

46.1 70.9 3.9 3.4 7.0

38.0 22.2 84.6 24.1 38.9 131.9

26.6 20.4

561.1 69.9 56.1 15.2 19.7

167.0 20.9 35.9 47.2 20.8 23.3 58.7 26.2 19.9 51.9 83.1 64.6 12.7 39.5

778.2 29.6

220.3 49.8 69.3 35.0

229.8 21.6 35.8 25.4 147.0

June 1995p

5,510 1,242.2 397.6 119.3 72.1

206.2 99.3 32.8 35.6

201.0 16.1 58.5 48.5 88.2 12.2 26.3 140.4 94.0

46.4 71.5 3.8 3.4 6.4

38.8 22.2 85.5 24.5 39.3 136.5

26.9 20.6

560.2 70.3 56.2 15.0 19.8

167.1 20.9 35.7 47.4 20.8 23.2 59.0 26.2 20.0 51.4 81.8 63.5 12.5 39.6

771.9 29.3

219.8 49.2 69.7 35.0

225.4 21.6 35.8 25.7 142.3

July 1995p

5,443 1,269.0 ---------_ ------_ ----------26.4 -

544.6 ------------_ ---_ -

732.2 ---------

Nondurable goods Food and kindred products

Meat products Meat packing plants Sausages and other prepared meats Poultry slaughtering and processing

Dairy products Cheese, natural and processed Fluid milk

Preserved fruits and vegetables Canned specialties Canned fruits and vegetables Frozen fruits and vegetables

Grain mill products Flour and other grain mill products Prepared feeds, nee

Bakery products Bread, cake, and related products Cookies, crackers, and frozen bakery products,

except bread Sugar and confectionery products

Raw cane sugar Cane sugar refining Beet sugar Candy and other confectionery products

Fats and oils Beverages

Malt beverages Bottled and canned soft drinks

Misc. food and kindred products

Tobacco products Cigarettes

Textile mill products Broadwoven fabric mills, cotton Broadwoven fabric mills, synthetics Broadwoven fabric mills, wool Narrow fabric mills Knitting mills

Women's hosiery, except socks Hosiery, nee Knit outerwear mills Knit underwear mills Weft knit fabric mills

Textile finishing, except wool Finishing plants, cotton Finishing plants, synthetics ,

Carpets and rugs Yam and thread mills

Yarn spinning mills Throwing and winding mills

Miscellaneous textile goods

Apparel and other textile products Men's and boys' suits and coats Men's and boys' furnishings

Men's and boys' shirts Men's and boys' trousers and slacks Men's and boys' work clothing

Women's and misses' outerwear Women's and misses' blouses and shirts Women's, juniors', and misses' dresses Women's and misses' suits and coats Women's and misses' outerwear, nee


70





(In thousands)

Industry 1987 SIC

Code

All employees

June 1994

July 1994

May 1995

June 1995p

July 1995p

Production workers1

June 1994

July 1994

May 1995

June 1995p

Nondurable goods—Continued Apparel and other textile products—Continued

Women's and children's undergarments Women's and children's underwear Brassieres, girdles, and allied garments

Girls' and children's outerwear Girls' and children's dresses and blouses

Misc. apparel and accessories Misc. fabricated textile products

Curtains and draperies House furnishings, nee Automotive and apparel trimmings

Paper and allied products Paper mills Paperboard mills Paperboard containers and boxes

Corrugated and solid fiber boxes Sanitary food containers Folding paperboard boxes

Misc. converted paper products Paper, coated and laminated, nee Bags: plastics, laminated, and coated Envelopes

Printing and publishing Newspapers Periodicals Books

Book publishing Book printing

Miscellaneous publishing Commercial printing

Commercial printing, lithographic Commercial printing, nee

Manifold business forms Blankbooks and bookbinding Printing trade services

Chemicals and allied products Industrial inorganic chemicals

Industrial inorganic chemicals, nee Plastics materials and synthetics

Plastics materials and resins Organic fibers, noncellulosic

Drugs Pharmaceutical preparations

Soap, cleaners, and toilet goods Soap and other detergents Polishing, sanitation, and finishing preparations Toilet preparations

Paints and allied products Industrial organic chemicals

Cyclic crudes and intermediates Industrial organic chemicals, nee

Agricultural chemicals Miscellaneous chemical products

Petroleum and coal products Petroleum refining Asphalt paving and roofing materials

Rubber and misc. plastics products Tires and inner tubes Rubber and plastics footwear Hose, belting, gaskets, and packing

Rubber and plastics hose and belting Fabricated rubber products, nee Miscellaneous plastics products, nee

234 2341 2342 236 2361 238 239 2391 2392 2396

26 262 263 265 2653 2656 2657 267 2672 2673 2677

27 271 272 273 2731 2732 274 275 2752 2759 276 278 279

28 281 2819 282 2821 2824 283 2834 284 2841 2842,3 2844 285 286 2865 2869 287 289

29 291 295

30 301 302 305 3052 306 308

51.9 40.0 11.9 45.2 19.2 41.4

216.9 20.8 56.3 55.6

696.7 171.2 51.3

213.4 125.0 16.7 48.1

248.1 47.1 40.2 23.8

1,540.6 451.1 134.9 120.3 84.3 36.0 84.2

549.1 357.2 171.1

45.61 70.9 56.6|

1,068.2 132.7 85.1

163.3 77.8 52.6

264.9 215.3 155.1 43.5 42.3 69.3 58.6

144.2 26.4

115.0 55.4 94.0

150.9 108.3 29.9

959.4 81.5 11.7 63.7 25.3

108.5 694.0

51.2 39.4 11.8 44.8 19.7 39.4

211.1 20.0 55.1 53.4

695.7 171.3 50.8

212.9 125.2

16.8 47.4

248.0 47.3 39.9 23.4

1,541.9 450.7 135.9) 120.2

83.9 36.3 84.4

548.8 356.9 170.8 45.1 71.7 56.4

1,065.3 132.8 85.2

162.2 77.8 51.7

264.1 214.3 155.6 43.3 42.7 69.6 58.7

144.7 26.1

115.8 54.5 92.7

151.51 108.6| 30.1

948.9 80.2 11.0 63.8 25.3

107.0 686.9

50.61 38.2 12.4 41.8 17.9 39.2

213.3 19.5 54.9 56.2

687.5 165.1 50.6

214.0 127.7 16.0 47.6

245.2 46.8 40.2 24.0

1,555.4 452.0 135.9 123.9 85.1 38.8 83.9

560.8 362.6 176.5 44.5 71.1 56.5

1,046.3 128.7 80.8

158.4 76.4 49.61

260.1 211.0 151.0 42.0 42.5 66.5 58.4

142.2 26.1

113.5 54.1 93.4

146.1 104.6 28.6

977.3 82.7

9.4 66.9 26.1

110.2 708.1

50.5 38.1 12.4 42.5 18.2 39.6

211.8 19.4 54.1 55.5

695.0 167.4

51.3 215.5 128.4

16.0 48.0

248.2 47.5 40.3 24.0

1,560.8 454.5 137.0 123.3

84.8 38.5 82.7

562.5 364.7 176.2

44.5 72.2 56.5

1,051.5 129.3 81.1

159.6 77.4 49.7

260.3 210.4 152.4 42.1 42.5 67.8 59.1

143.3 26.3

114.4 53.6 93.9

147.6 105.3

29.3

978.0 83.3

9.7 66.8 25.8

110.2 708.0

691.8

1,553.3

1,044.6

147.3

959.1

43.0 34.5 8.5

38.3 16.3 33.7

176.8 16.5 47.6 45.1

528.7 132.0 39.4

166.7 94.2 14.8 39.1

180.9 23.0 30.2 18.5

846.8 154.9

44.6 64.6 35.5 29.1 40.1

397.5 256.9 123.7

32.3 54.7 41.1

583.6 56.4 36.5

109.7 50.1 37.4

122.6 102.0 97.0 25.3 25.1 46.6 30.9 79.5 15.2 62.2 31.8 55.7

98.9 69.6 22.7

746.8 59.0 9.7

48.7 19.9 83.2

546.2

42.5 34.1 8.4

37.7 16.5 31.8

171.7 16.0 46.9 43.0

527.5 131.4 39.2

166.5 94.4 14.9 38.6

180.7 23.0 29.9 18.1

845.6 154.6

44.3 63.9 34.7 29.2 40.1

397.1 256.3 123.7 32.0 55.5 40.9

579.6 56.6 36.8

108.2 49.9 36.4

121.4 101.1 97.1 25.1 25.5 46.5 30.9 79.6 14.9 62.6 30.9 54.9

99.3 69.7 22.9

737.4 58.3

9.1 48.8 19.8 82.0

539.21

41.8 33.1 8.7

35.2 15.1 31.9

173.3 15.7 46.3 45.3

522.5 127.4 38.9

166.7 96.1 14.1 38.7

179.8 24.5 30.0 18.8

850.2 155.9 43.8 67.0 35.8 31.2 39.7

403.4 259.7 126.3 31.4 54.9 40.2

581.1 57.3 37.2

106.3 48.8 36.3

126.2 107.5 92.4 23.4 24.8 44.2 30.7 80.3 15.1 63.3 32.1 55.8

95.4 66.8 21.8

760.4 60.2

7.5 51.4 20.4 85.4

555.9


71




(In thousands)

Industry 1987 SIC

Code

31 311 314 3143 3144 316 317

40 4011

41 411 412 413 415

42 421 422

44 444 449

45 451 4512 458

46

47 472 4724 473

48 481 4813 483 4832 4833 484

49 491 492 493 495

50 501 5012 5013 502 5021 5023

June 1994

114.6 15.4 58.3 27.4 19.9 11.1 12.7

6,048

3,809

243.3 215.9

411.0 200.4 30.9 24.2

123.8

1,823.6 1,682.8

136.3

175.2 12.9

113.4

747.1 607.1 490.1 103.8

17.9

391.2 198.1 158.3 155.3

2,239

1,305.2 904.7 824.9 233.9 114.9 119.0 144.1

934.2 420.0 161.2 179.5 142.3

6,174

3,559 472.5 119.8 280.3 140.8 64.1 76.7

All employees

July 1994

109.9 14.3 55.7 27.6 17.9 10.8 12.5

6,025

3,780

243.1 215.7

355.5 200.7 31.1 23.3 71.0

1,836.7 1,694.2

138.1

180.3 12.8

118.4

750.9 609.9 490.6 104.8

17.8

395.2 199.3 159.5 158.4

2,245

1,310.0 908.5 828.6 234.8 114.9 119.9 145.2

934.5 420.4 161.1 179.2 142.6

6,180

3,566 476.3 120.9 282.2 141.4 64.6 76.8

May 1995

109.4 15.0 55.1 26.3 18.6 11.2 11.7

6,182

3,918

241.2 214.6

455.3 218.4 33.2 23.3

147.0

1,860.3 1,710.3

144.9

163.7 13.1

108.6

757.4 605.3 474.0 111.1

16.7

423.5 202.0 161.8 181.5

2,264

1,357.2 941.0 846.6 245.2 117.7 127.5 155.1

906.7 406.7 153.9 170.1 145.3

6,308

3,660 493.0 128.0 288.2 149.0 67.3 81.7

June 1995p

109.1 14.8 55.1 26.3 18.7 10.9 12.0

6,231

3,948

240.9 214.3

441.9 223.1 33.4 23.3

128.6

1,894.0 1,742.1

146.7

164.1 12.9

109.3

764.2 609.7 476.7 112.5

17.0

425.9 201.7 161.2 183.6

2,283

1,368.9 950.8 854.2 246.2 118.4 127.8 156.1

913.7 409.6 154.8 170.7 147.1

6,364

3,691 497.2 128.7 290.6 149.7 68.0 81.7

July 1995p

103.5 ------

6,196

3,912

241.6 -

384.8 ----

1,905.8 --

166.8 --

769.6 ---16.6

426.5 ---

2,284

1,369.5 ------

914.3 ----

6,377

3,697 ------

June 1994

91.2 12.7 48.1 21.4 16.9 8.4 8.6

5,071

-_ -

377.5 182.3 -21.8 -

1,584.8 1,466.8

114.0

_ -

101.0

_ ---13.9

309.1 158.2 125.4 120.0

-1,003.0

673.6 613.1 195.4 --

121.7

738.9 327.4 125.6 138.6 122.8

4,986

2,847 383.4

--

111.0 --

Production workers1

July 1994

86.8 11.8 45.5 21.6 14.9 8.1 8.5

5,041

-_ -

321.9 182.3 -20.8 -

1,597.0 1,477.1

115.9

_ -

105.9

_ ---13.9

312.4 159.5 126.5 122.4

-1,007.6

677.0 616.9 196.7 --

122.6

739.3 328.2 125.3 138.2 123.0

4,993

2,856 387.0

--

111.9 --

May 1995

85.6 12.5 44.7 20.5 15.3 8.5 7.6

5,169

-_ -

419.8 198.7 -21.2 -

1,614.2 1,489.0

120.6

_ -96.5

„

---13.2

338.6 164.7 131.4 140.8

-1,046.4

701.2 631.4 205.4

--

131.2

711.9 315.3 119.9 129.3 124.1

5,106

2,941 400.5

--

119.4 --

June 1995p

85.6 12.4 44.8 20.5 15.4 8.3 7.9

5,212

-_ -

405.7 202.9

-21.3 -

1,647.7 1,520.8

122.3

_ -97.1

_ ---13.8

340.2 164.5 130.9 142.3

-1,056.0

708.6 636.9 206.7

--

132.3

719.1 318.1 120.9 129.9 126.0

5,161

2,971 405.2

--

119.9 --

July 1995p

80.1 ------

5,178

-_ -_ ----_ --_ --_ ----_ ----_ ------_ ----

5,173

_ ------

Nondurable goods—Continued Leather and leather products

Leather tanning and finishing Footwear, except rubber

Men's footwear, except athletic Women's footwear, except athletic

Luggage Handbags and personal leather goods


Transportation

Railroad transportation Class I railroads2

Local and interurban passenger transit Local and suburban transportation Taxicabs Intercity and rural bus transportation School buses

Trucking and warehousing Trucking and courier services, except air... Public warehousing and storage

Water transportation Water transportation of freight, nee Water transportation services

Transportation by air Air transportation, scheduled

Air transportation, scheduled Airports, flying fields, and services

Pipelines, except natural gas

Transportation services Passenger transportation arrangement

Travel agencies Freight transportation arrangement

Communications and public utilities

Communications Telephone communications

Telephone communications, except radio Radio and television broadcasting

Radio broadcasting stations Television broadcasting stations

Cable and other pay television services

Electric, gas, and sanitary services Electric services Gas production and distribution Combination utility services Sanitary services

Wholesale trade

Durable goods Motor vehicles, parts, and supplies

Automobiles and other motor vehicles Motor vehicle supplies and new parts

Furniture and home furnishings Furniture Home furnishings


72





(In thousands)

Industry 1987 SIC

Code

All employees

June 1994

July 1994

May 1995

June 1995p

July 1995p

Production workers1

June 1994

July 1994

May 1995

June 1995p

Wholesale trade—Continued Durable goods—Continued

Lumber and other construction materials Lumber, plywood, and millwork Construction materials, nee

Professional and commercial equipment Office equipment Computers, peripherals and software Medical and hospital equipment

Metals and minerals, except petroleum Electrical goods

Electrical apparatus and equipment Electrical appliances, television and radio sets Electronic parts and equipment

Hardware, plumbing, and heating equipment Hardware Plumbing and hydronic heating supplies

Machinery, equipment, and supplies Construction and mining machinery Farm and garden machinery Industrial machinery and equipment Industrial supplies

Misc. wholesale trade durable goods Scrap and waste materials

Nondurable goods Paper and paper products

Stationery and office supplies Drugs, proprietaries, and sundries Apparel, piece goods, and notions Groceries and related products

Groceries, general line Meats and meat products Fresh fruits and vegetables

Farm-product raw materials Chemicals and allied products Petroleum and petroleum products

Petroleum bulk stations and terminals Petroleum products, nee

Beer, wine, and distilled beverages Beer and ale Wine and distilled beverages

Misc. wholesale trade nondurable goods Farm supplies

Retail trade

Building materials and garden supplies Lumber and other building materials Paint, glass, and wallpaper stores Hardware stores Retail nurseries and garden stores

General merchandise stores Department stores Variety stores Miscellaneous general merchandise stores

Food stores Grocery stores Meat and fish markets Dairy products stores Retail bakeries

Automotive dealers and service stations New and used car dealers

503 5031 5039 504 5044 5045 5047 505 506 5063 5064 5065 507 5072 5074 508 5082 5083 5084 5085 509 5093

51 511 5112 512 513 514 5141 5147 5148 515 516 517 5171 5172 518 5181 5182 519 5191

52 521 523 525 526

53 531 533 539

54 541 542 545 546

55 551

230.8 120.9 36.7

772.3 187.6 282.3 165.5 134.9 463.1 198.2

50.2 214.7 279.0

97.8 111.2 757.0

77.4 119.1 302.2 144.0 308.6 115.2

2,615 250.1 138.0 198.0 208.4 877.3 277.6 60.1

108.4 110.3 142.6 163.5 66.2 97.3

152.4 100.0

52.4 511.9 162.8

20,596

868.1 509.4 66.4

162.0 99.2

2,469.1 2,142.1

140.3 186.7

3,309.4 2,951.9

45.9 16.3

175.7

2,140.4 966.1

233.2 121.5

37.4 769.7 186.3 279.2 166.7 134.7 462.9 197.7 50.1

215.1 280.8

98.1 112.0 759.6 78.0

119.3 303.6 144.7 307.6 115.3

2,614 250.3 137.8 198.8 209.3 877.6 278.7 60.7

103.8 109.5 141.9 163.1 66.2 96.9

153.4 100.8

52.6 509.7 160.7

20,582

864.5 513.3 66.7

161.9 91.2

2,485.6 2,160.6

139.7 185.3

3,313.8 2,955.5

45.9 16.9

175.5

2,151.7 973.3

239.8 124.8 38.0

785.8 192.9 280.3 171.7 139.8 475.1 206.7 49.7

218.7 287.4 100.6 114.1 768.7 80.2

117.7 310.2 145.4 321.5 124.1

2,648 261.0 143.2 196.1 210.5 876.6 280.8

60.8 98.3

108.4 139.6 165.2

67.0 98.2

152.8 99.9 52.9

537.4 171.2

20,774

879.8 506.7

66.7 164.9 106.9

2,443.5 2,131.4

134.9 177.2

3,333.0 2,965.5

47.8 14.0

182.4

2,209.8 997.5

242.9 126.1 38.7

792.6 193.1 282.5 174.2 140.3 476.7 208.2

49.8 218.7 290.9 102.3 114.8 773.5 80.4

119.4 312.6 146.1 327.5 126.6

2,673 262.1 142.9 197.1 212.4 890.1 284.0

61.4 103.6 109.1 140.2 166.5 67.2 99.3

155.7 102.3 53.4

539.4 171.3

20,986

888.7 516.4 67.4

167.2 102.2

2,466.0 2,153.5

135.6 176.9

3,376.0 2,999.5

48.7 14.9

183.7

2,227.9 1,001.0

2,680

20,981

878.2

2,474.5 2,163.4

3,384.2

2,236.6 1,005.1

189.4

618.2

135.6 108.6 361.5

225.1

599.6

250.0

2,139 205.0

162.7 163.6 736.2

89.7 108.1 132.3

124.2

417.3

18,148

728.8 435.3

51.6 134.4 82.6

2,304.0 2,014.9

124.1 165.0

3,012.3 2,702.9

155.6

1,788.2 807.7

191.8

616.1

136.2 108.6 362.0

227.3

602.6

248.6

2,137 205.6

163.0 164.3 736.6

89.0 107.1 132.2

125.2

414.2

18,125

724.7 439.0

51.7 134.0

74.9

2,318.6 2,031.9

123.5 163.2

3,017.0 2,707.7

155.0

1,797.5 813.5

198.1

633.6

141.1 112.3 374.3

232.0

609.9

261.0

2,165 214.3

161.9 164.6 733.1

88.1 105.8 134.6

124.0

438.2

18,255

738.0 432.3

51.6 136.0

90.0

2,271.6 1,998.6

118.5 154.5

3,031.1 2,717.1

160.4

1,840.0 832.3

200.5

639.3

142.7 112.7 376.0

235.0

615.2

267.6

2,190 215.5

162.5 167.2 746.7

88.6 106.7 136.6

126.5

439.7

18,454

746.1 440.9

52.6 138.0

85.6

2,295.0 2,022.7

118.7 153.6

3,072.9 2,749.9

161.8

1,854.6 835.0


73




(In thousands)

Industry 1987 SIC

Code

All employees

June 1994

July 1994

May 1995

June 1995p

July 1995p

Production workers1

June 1994

July 1994

May 1995

June 1995p

Retail trade—Continued Automotive dealers and service stations—Continued

Auto and home supply stores Gasoline service stations Automotive dealers, nee

Apparel and accessory stores Men's and boys' clothing stores Women's clothing stores Family clothing stores Shoe stores

Furniture and home furnishings stores Furniture and home furnishings stores

Furniture stores Household appliance stores Radio, television, and computer stores

Radio, television, and electronic stores Record and prerecorded tape stores

Eating and drinking places

Miscellaneous retail establishments Drug stores and proprietary stores Liquor stores Used merchandise stores Miscellaneous shopping goods stores

Sporting goods and bicycle shops Book stores Stationery stores Jewelry stores Gift, novelty, and souvenir shops Sewing, needlework, and piece goods

Nonstore retailers Catalog and mail-order houses Merchandising machine operators

Fuel dealers Retail stores, nee

Florists, tobacco stores, and newsstands Optical goods stores Miscellaneous retail stores, nee

Finance, insurance, and real estate3

Finance

Depository institutions Commercial banks

State commercial banks National and commercial banks, nee

Savings institutions Federal savings institutions Savings institutions, except federal

Credit unions

Nondepository institutions Personal credit institutions Business credit institutions Mortgage bankers and brokers

Security and commodity brokers Security brokers and dealers Commodity contracts brokers, dealers, and

exchanges Security and commodity services

Holding and other investment offices Holding offices

553 554 559

56 561 562 565 566

57 571 5712 572 573 5731 5735

58

59 591 592 593 594 5941 5942 5943 5944 5947 5949 596 5961 5962 598 599 5992,3,4 5995 5999

60 602 6022 6021,9 603 6035 6036 606

61 614 615 616

62 621

622,3 628

67 671

361.6 641.2

7.7

1,121.1 87.6

340.1 317.1 203.4

874.7 467.8 281.8

77.6 329.3 140.0 73.3

7,289.5

2,524.0 599.5 112.0

92.4 871.3 169.8

98.5 73.6

132.1 204.7

58.8 299.2 175.1

70.7 96.4

453.2 138.3 64.3

250.6

7,017

3,352

2,088.0 1,500.5

608.6 891.9 311.8 163.2 148.6 150.5

508.1 134.2 86.7

266.6

523.8 398.9

24.1 100.8

232.2 104.5

366.4 640.0

7.7

1,125.3 86.4

338.5 319.7 204.4

884.9 472.0 283.9

78.0 334.9 143.6 73.9

7,232.6

2,523.5 598.7 113.2 93.0

877.6 168.9 97.8 74.3

132.3 208.8

58.6 297.7 173.9 70.2 94.4

448.9 134.9 64.0

250.0

7,036

3,358

2,093.1 1,506.0

613.4 892.6 309.9 162.3 147.6 150.9

503.6 135.1 86.7

261.0

528.2 403.3

24.4 100.5

232.8 104.5

383.6 642.8

7.2

1,071.9 83.4

336.7 288.9 199.1

934.8 498.4 300.0

76.5 359.9 152.4 78.4

7,320.0

2,581.5 606.8 111.1 96.4

896.2 170.8 106.7 77.1

135.8 203.7

58.4 294.7 172.1 70.6 96.3

480.0 165.3 63.8

250.9

6,926

3,301

2,053.6 1,489.3

610.1 879.2 284.5 151.0 133.5 155.0

477.2 140.4 89.4

223.9

527.3 401.3

25.4 100.6

243.0 107.7

390.5 647.4

7.3

1,084.9 83.6

337.9 294.3 202.8

938.3 500.5 299.6

76.6 361.2 154.0 77.5

7,431.4

2,573.0 606.9 112.3 98.1

897.8 172.9 101.9

77.3 134.0 209.7

58.4 294.3 171.6

70.1 96.8

466.8 145.4 64.1

257.3

7,006

3,327

2,069.1 1,502.4

618.0 884.4 285.1 151.2 133.9 156.2

481.8 141.9 90.1

225.9

531.8 404.5

26.0 101.3

243.9 108.2

1,083.2

938.6

7,412.6

2,573.1

7,032

3,337

2,073.8 1,507.1

284.4

485.4

229.6|

532.9

245.1

289.7 552.7

6.6

916.3 70.6

274.1 271.8 158.4

709.9 380.1

62.8 267.0 115.9

57.7

6,593.6|

2,094.9 500.4

77.0 724.1

251.6

79.2 371.8

51.4 202.8

5,122

1,509.8 1,069.6

437.6 632.0

119.6

376.1 97.7

293.7 552.4

6.5

919.1 69.3

272.7 272.1 161.0

716.9 383.7

63.1 270.1 119.3 56.3

6,542.1

2,089.5 499.0

77.4 727.4

249.6

77.5 367.0

51.1 201.6

5,141

1,515.1 1,074.6

441.7 632.9

120.0

371.5 98.7

305.1 553.6

6.1

869.9 66.8

270.9 247.0 154.5

751.7 402.6

62.0 287.1 125.4

56.4

6,607.0

2,145.4 505.3

80.6 741.7

250.5

79.1 397.9

51.7 201.5

5,050

1,476.8 1,055.8

438.7 617.1

123.4

344.4 103.0

310.7 556.8

6.2

880.1 66.8

271.6 251.6 157.9

755.4 403.9

61.9 289.61 126.6

56.7

6,712.2

2,137.8| 505.5

82.1 744.6

249.7

79.3 384.8

51.9 207.9

5,123

1,488.5 1,065.5

444.3 621.2

124.8

348.7 104.2

66.7 66.6 66.6 67.2


74





(In thousands)

Industry 1987 SIC

Code

All employees

June 1994

July 1994

May 1995

June 1995p

July 1995p

Production workers1

June 1994

July 1994

May 1995

June 1995p

Finance, insurance, and real estate—Continued Insurance

Insurance carriers Life insurance Medical service and health insurance

Hospital and medical service plans Fire, marine, and casualty insurance Title insurance

Insurance agents, brokers, and service

Real estate Real estate operators and lessors Real estate agents and managers Subdividers and developers

Services

Agricultural services Veterinary services Landscape and horticultural services

Hotels and other lodging places Hotels and motels

Personal services Laundry, cleaning, and garment services Photographic studios, portrait Beauty shops Funeral service and crematories Miscellaneous personal services

Business services Advertising

Advertising agencies Credit reporting and collection Mailing, reproduction, and stenographic services

Photocopying and duplicating services Services to buildings

Disinfecting and pest control services Building maintenance services, nee

Miscellaneous equipment rental and leasing Medical equipment rental Heavy construction equipment rental Equipment rental and leasing, nee

Personnel supply services Employment agencies Help supply services

Computer and data processing services Computer programming services Prepackaged software Computer integrated systems design Data processing and preparation Information retrieval services Computer maintenance and repair

Miscellaneous business services Detective and armored car services Security systems services Photofinishing laboratories

Auto repair, services, and parking Automotive rentals, without drivers

Passenger car rental Automobile parking Automotive repair shops

Automotive and tire repair shops General automotive repair shops

63,64

63 631 632 6324 633 636

64

65 651 653 655

07 074 078

70 701

72 721 722 723 726 729

73 731 7311 732 733 7334 734 7342 7349 735 7352 7353 7359 736 7361 7363 737 7371 7372 7373 7374 7375 7378 738 7381 7382 7384

75 751 7514 752 753 7532,4 7538

2,248

1,559.2 580.8 295.1 232.9 545.0 76.0

688.6

1,417 591.4 668.6 120.9

31,728

631.9 156.1 427.1

1,715.4 1,646.1

1,105.1 424.7

72.9 384.3 89.0

116.4

6,256.0 223.2 151.0 116.9 252.4 62.3

865.7 83.5

782.2 220.6 33.5 39.8

147.3 2,267.1

252.7 2,014.4

942.9 206.7 152.9 115.3 208.9 47.6 43.0

1,367.2 501.7 43.6 70.1

977.2 176.4 111.2 63.2

545.5 190.6 227.0

2,249

1,558.6 580.4 295.8 233.3 546.0 73.7

690.8

1,429 596.1 676.1 120.5

31,871

630.2 157.7 423.2

1,746.4 1,664.8

1,094.2 423.5

71.8 383.2

88.9 109.3

6,305.0 224.9 152.6 116.8 252.6 62.7

866.2 83.6

782.6 221.7 33.7 40.3

147.7 2,294.5

252.3 2,042.2

949.5 207.2 154.8 116.1 210.4 48.2 42.6

1,378.8 506.8 44.3 69.4

979.2 177.9 112.6 62.5

546.3 189.0 228.1

2,238

1,534.2 566.8 308.5 246.2 536.1 60.2

703.4

1,387 574.4 665.2 117.7

32,768

629.6 159.1 422.9

1,629.9 1,579.2

1,123.5 429.3

75.2 385.1

89.1 128.1

6,554.3 237.8 162.7 118.7 274.8 67.7

870.7 83.2

787.5 231.0

37.4 42.9

150.7 2,366.0

272.0 2,094.0 1,034.6

232.0 168.1 123.6 231.4

53.6 41.8

1,420.7 521.3

47.6 67.6

1,018.9 186.3 118.4 64.5

566.5 196.6 234.8

2,249

1,540.7 566.7 310.0 248.3 539.6 61.0

708.3

1,430 590.8 687.3 122.0

33,079

653.3 163.9 439.8

1,720.6 1,651.7

1,114.6 433.5

74.5 384.6 89.5

115.9

6,632.4 240.9 164.7 119.7 275.8

67.9 881.1

85.1 796.0 235.6

37.9] 44.1

153.6| 2,393.7

275.4 2,118.3 1,044.1

236.1 172.0 125.0 229.8

54.7 41.6

1,441.5 524.6 48.3 68.6

1,030.4 189.6 120.7

65.6 572.0 200.9 236.9

2,251

1,543.5

707.6

1,444

33,143

653.6

1,752.6

1,102.1

6,645.4

879.8

2,395.1

2,120.5 1,050.9

1,036.4

1,099.4 380.4 239.7 193.3 365.1

27,784

536.7 130.2 366.5

1,457.2

376.0

343.7

96.6

5,584.3 163.7

50.8 777.7 66.2

711.5 177.4 26.5 33.7

117.2

1,960.3 764.4 174.4

86.4

36.1 35.6]

1,199.5 469.3

37.4

805.8 144.3 92.0 55.8

441.7 156.5 183.9

1,099.0 378.9 240.3 193.5 367.1

27,902

535.5 131.7 363.3

1,473.3

374.8

342.4

90.1

5,630.3 164.3

51.3 778.6 66.3

712.3 178.2 26.6 34.4

117.2

1,987.4 770.4 174.3

87.6

36.7 35.7

1,211.1 473.3

38.1

808.8 145.7 93.4 55.0

443.8 156.3 185.2

1,096.8 379.3 253.0 205.0 364.8

28,645

530.6 133.5 358.5

1,388.6

379.2

345.2

109.2

5,827.0 172.6

55.5 780.6

66.4 714.2 186.4

29.4 36.6

120.4

2,030.6 832.7 195.2

92.9

41.1 34.6

1,243.8 485.1 40.3

842.0 153.4 99.0 57.2

458.5 164.3 188.6

1,103.2 379.2 254.7 207.1 368.4

28,935

553.4 137.6 375.2

1,453.6

383.4

345.0

96.9

5,903.2 175.6

55.4 789.8 68.0

721.8 191.3 30.1 37.9

123.3

2,054.9 840.3 198.7

94.1

41.7 34.5

1,267.0 487.2

41.2

850.7 156.4 101.3 58.2

462.4 165.7 190.1


75




(In thousands)

Industry 1987 SIC

Code

All employees

June 1994

July 1994

May 1995

June 1995p

July 1995p

Production workers'

June 1994

July 1994

May 1995

June 1995p

Services—Continued Auto repair, services, and parking—Continued

Automotive services, except repair Carwashes

Miscellaneous repair services. Electrical repair shops

Motion pictures Motion picture production and services. Motion picture theaters Video tape rental

Amusement and recreation services Bowling centers Misc. amusement and recreation services.

Physical fitness facilities Membership sports and recreation clubs

Health services , Offices and clinics of medical doctors Offices and clinics of dentists Offices and clinics of other health practitioners Offices and clinics of chiropractors and optometrists ...

Nursing and personal care facilities Skilled nursing care facilities Intermediate care facilities Nursing and personal care, nee

Hospitals General medical and surgical hospitals Psychiatric hospitals Specialty hospitals, excluding psychiatric

Medical and dental laboratories Home health care services

Legal services .

Educational services Elementary and secondary schools . Colleges and universities Vocational schools

Social services Individual and family services Job training and related services Child day care services Residential care Social services, nee

Museums and botanical and zoological gardens .

Membership organizations Business associations Professional organizations Labor organizations Civic and social associations .

Engineering and management services ... Engineering and architectural services ..

Engineering services Architectural services Surveying services

Accounting, auditing, and bookkeeping .


754 7542

76 762

78 781 783 784

79 793 799 7991 7997

80 801 802 804 8041,2 805 8051 8052 8059 806 8062 8063 8069 807 808

81

82 821 822 824

83 832 833 835 836 839

84

86 861 862 863 864

87 871 8711 8712 8713 872

192.1 110.2

335.3 105.7

464.1 184.5 122.1 138.2

1,537.5 73.8

1,156.4 137.2 379.3

9,017.5 1,542.1

576.7 381.0 156.5

1,652.7 1,225.8

206.2 220.7

3,779.6 3,473.1

100.1 206.4 192.0 557.9

939.6

1,654.4 533.8 907.0

74.2

2,176.2 591.5 309.7 488.4 604.7 181.9

85.3

2,091.7 105.1 54.2

143.7 437.0

2,569.8 782.9 607.9 123.0

52.0 502.3

192.5 109.1

337.8 106.9

474.6 191.3 124.3 139.5

1,571.9 71.2

1,204.6 137.3 395.7

9,046.3 1,548.4

575.6 380.4 156.5

1,659.6 1,230.7

206.5 222.4

3,790.1 3,483.6

99.5 207.0 193.5 561.0

941.4

1,587.0 506.7 863.0

73.4

2,188.2 597.2 337.5 457.4 608.7 187.4

86.5

2,120.6 105.8 53.5

137.6 468.7

2,590.4 790.0 612.7 124.6

52.7 505.3

201.6 112.8

340.8 107.6

592.1 311.6 118.3 140.7

1,548.6 77.6

1,160.9 159.6 371.6

9,214.0 1,578.4

595.1 406.2 165.5

1,677.8 1,245.2

208.9 223.7

3,802.5 3,499.9

97.3 205.3 198.6 603.4

924.5

1,909.2 571.7

1,107.9 79.7

2,288.8 612.0 309.4 540.7 632.2 194.5

84.2

2,057.5 100.3 54.7

137.4 417.1

2,680.1 798.5 619.9 126.7 51.9

520.5

203.2 113.9

343.2 109.1

596.7 307.2 128.4 139.7

1,718.9 70.1

1,335.9 161.1 444.3

9,277.8 1,590.1

600.8 410.5 167.2

1,691.6 1,254.6

210.7 226.3

3,821.9 3,519.3

97.6 205.0 200.0 608.7

944.9

1,712.4 548.7 932.4

77.9

2,264.1 612.9 318.1 508.7 640.1 184.3

88.6

2,093.0 101.4 55.0

135.4 449.6

2,716.2 810.0 628.1 128.4 53.5

516.5

344.8

607.2

1,753.5

9,301.8 1,594.0

1,697.6

3,831.5

609.8

943.8

1,631.1

2,250.8

476.4 641.0

90.5

2,127.3

2,730.0 815.4

164.0 97.0

271.3

386.2 151.3

113.7

1,362.4 64.9

1,030.7 123.1 337.3

7,997.6 1,261.8

504.61 314.8

1,491.4

185.2

3,459.2

516.0

754.7

1,884.1 513.0 262.9 431.4 526.1 150.7

38.5

1,980.5 645.7 506.0

96.1 43.6

367.1

164.3 95.7

273.2

395.8 157.9

114.5

1,392.0 62.5

1,076.0 123.3 353.0

8,012.3 1,264.8

502.5 313.5

1,496.8

185.0

3,463.6

518.3

756.3

1,899.7 519.0 289.4 401.5 529.8 160.0

38.1

1,997.6 652.3 510.9 97.1 44.3

368.4

172.9 99.7

276.9

491.8 259.1

115.1

1,363.1 68.7

1,020.1 142.1 326.0

8,160.0 1,285.6

519.8 334.8

1,512.5

187.8

3,478.2

558.8

738.4

1,982.2 531.7 263.0 477.9 549.1 160.5

38.8

2,055.2 656.7 515.5

98.5 42.7

378.8

173.7 100.2

279.5

499.1 257.2

114.2

1,522.3 61.6

1,186.2 143.4 394.7

8,221.0 1,296.8

524.7 339.4J

1,526.9

189.8

3,496.0

563.61

756.4

1,958.2| 532.5 270.9 447.5 557.1 150.2

39.1

2,092.5 668.6 524.01 100.1 44.5

376.6

76





(In thousands)

Industry 1987 SIC

Code

All employees

June 1994

July 1994

May 1995

June 1995p

July 1995p

Production workers1

June 1994

July 1994

May 1995

June 1995p

July 1995p

Services—Continued Engineering and management services—Continued

Research and testing services Commercial physical research Commercial nonphysical research Noncommercial research organizations

Management and public relations Management services Management consulting services Public relations services

Services, nee

Government

Federal Government4

Executive, by agency4

Department of Defense Postal Service5

Other executive agencies Legislative Judicial

Federal Government, except Postal Service

Federal Government, by industry: Manufacturing activities

Ship building and repairing Transportation and public utilities, except Postal

Service Services

Hospitals

State government Hospitals Education General administration, including executive, legislative,

and judicial functions State government, except education

Local government Transportation and public utilities Hospitals Education General administration, including executive, legislative,

and judicial functions Local government, except education

873 8731 8732 8733 874 8741 8742 8743

89

3731

806

806 82

806 82

569.9 229.1 116.5 138.9 714.7 249.7 237.6

32.4

40.6

19,172

2,885

2,819.4 835.8 810.7

1,172.9 37.8 27.6

2,074.1

76.2 41.5

23.9 385.1

233

4,407.0 407.0

1,687.3

1,800.9 2,720

|l 1,880.0 462.7 676.5

6,515.9

3,765.7 5,364.5

573.2 229.8 115.8 141.6 721.9 249.6 239.7

32.6

40.9

18,081

2,882

2,818.0 833.8 813.6

1,170.6 36.8 27.6

2,068.8

74.9 40.7

23.7 386.3

233

4,339.0 405.7)

1,593.11

1,820.3 2,745

568.3 219.8 123.7 137.7 792.8 280.6 267.1

34.1

41.0

19,638

2,831

2,768.9 786.5 835.4

1,147.0 34.2 28.0

; 1,999.4

68.0 35.2

21.2 376.4

229

4,665.0 391.4

1,968.4

1,802.7 2,696

578.0 221.5 127.1 140.8 811.7 285.2 276.9

35.4

41.6

19,338

2,848

839.4

2,008.7

67.1 34.5

21.3 378.6

233

4,456.0 391.5

1,729.9

1,825.1 2,726

814.2

41.4

18,216

2,848

841.4

2,006.7

437.0 167.6| 92.5

108.1 530.7 178.1 177.3 23.0

32.2

440.2 168.5 92.4

110.1 536.7 177.7 180.2 22.8

32.5

436.8 159.7 100.1 107.0 582.9 196.9 200.2

22.8

32.6

446.4 161.2 103.7 109.8 600.9 201.7 208.3

23.7

33.2

4,368.0)

1,627.8

2,740

1,142. 454.9 683.2

6,969.7

(10,860.0112,142.0 |l 2, 462.2 678.8

5,376.9

,034.0 [11,000.0 460.0 687.6

6,642.0

3,852.3) 5,483.2

3,615.1 5,172.5

3,790.7 5,391.5

5,481.8

5,517.8


2 Data relate to line-haul railroads with operating revenues of $50,000,000 or more.

3 Excludes nonoffice commissioned real estate sales agents. 4 Prepared by the Office of Personnel Management. Data relate to

civilian employment only and exclude the Central Intelligence Agency and

the National Security Agency. 5 Includes rural mail carriers. - Data not available. p = preliminary. NOTE: Establishment survey estimates are currently projected from

March 1994 benchmark levels. When more recent benchmark data are introduced, all unadjusted data from April 1994 forward are subject to revision.

77


ESTABLISHMENT DATA WOMEN EMPLOYEES NOT SEASONALLY ADJUSTED

B-13. Women employees on nonfarm payrolls by major industry and manufacturing group

(In thousands)

Industry Apr. 1994

May 1994

Mar. 1995

Apr. 1995

Total

Total private

Goods-producing

Mining

Construction

Manufacturing



Service-producing


Wholesale trade

Retail trade


Services

Government Federal State Local

54,836

44,201

6,542

85

536

5,921

2,735 121 152 104 95

302 429 656 350 355 173

3,186 521 13

319 742 166 685 333 24 321 63

48,294

1,740

1,860

10,571

4,374

19,114

10,635 1,198 2,343 7,094

55,162

44,472

6,581

85

546

5,950

2,748 122 154 104 97 304 431 658 351 354 173

3,202 527 12

319 747 166 686 335 24 323 63

48,581

1,761

1,873

10,730

4,380

19,147

10,690 1,198 2,318 7,174

55,898

45,075

6,630

81

568

5,981

2,797 126 158 104 101 316 437 676 357 346 177

3,184 529 12

313 714 164 701 332 24 334 61

49,268

1,820

1,911

10,623

4,358

19,733

10,823 1,182 2,384 7,257

56,142

45,316

6,634

81

575

5,978

2,800 127 157 105 101 316 438 675 358 346 176

3,178 528 11

314 710 164 700 332 24 333 61

49,508

1,826

1,918

10,736

4,359

19,843

10,826 1,182 2,388 7,256

NOTE: Establishment survey estimates are currently projected from March 1994 benchmark levels. When more recent benchmark data are

introduced, all unadjusted data from April 1994 forward are subject to revision.

78


ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT


B-14. Employees on nonfarm payrolls in States and selected areas by major industry

(In thousands)

State and area June 1994

1,762.6 429.7 163.0 205.6 147.5 70.0

271.4 123.2

1,654.4 1,119.9

289.0

1,039.5 124.0 91.5

282.4 34.6

12,195.1 171.9 258.7

3,706.6 120.8 874.9

1,133.0 743.7 566.8 108.6 956.9 903.8 796.0 145.0 147.5 155.4 141.8 233.0

1,764.7 142.4 949.1

1,560.3 179.5 84.4

587.7 239.7 131.4 188.9 82.0

362.3 49.1

279.9

664.9 2,404.8

5,798.0 141.5 563.2 138.9 103.2 457.6 159.0 168.8 909.4 686.9 142.2 203.5 135.6 958.5 385.0

Total

May 1995

1,776.1 434.7 162.7 208.9 148.8 72.5

263.6 121.8

1,761.5 1,198.6

302.6

1,075.1 130.2 90.4

290.5 35.2

12,257.7 170.5 259.9

3,738.3 120.4 877.1

1,131.7 760.5 567.9 105.9 952.2 905.7 793.0 144.6 150.3 157.1 143.2 232.7

1,784.8 147.5 965.3

1,548.1 179.1 83.6

585.1 239.2 129.3 185.8 82.3

361.6 49.4

280.0

644.5 2,404.4

6,011.5 146.6 588.3 143.0 110.5 474.3 165.0 174.0 926.7 726.1 144.5 214.3 142.0 995.9 400.3

June 1995P

1,781.7 436.2 162.9 211.0 149.0 71.4

273.2 124.7

1,735.6 1,183.3

294.5

1,076.0 130.8 90.7

291.1 35.1

12,312.8 172.4 260.7

3,736.1 121.5 877.8

1,137.3 757.3 569.9 106.8 959.9 909.2 798.5 144.3 151.2 157.3 144.3 234.1

1,803.7 147.9 972.3

1,558.8 179.7 83.5

585.5 240.3 131.6 188.3 83.1

363.7 49.7

278.0

645.8 2,416.7

6,004.6 147.0 589.0 142.8 108.0 473.2 165.8 173.0 923.9 728.2 144.8 214.5 139.8 997.4 398.1

June 1994

10.8 3.0

V) V) (1) 2.5

10.7 3.2

12.2 4.9 2.7

3.6

(1) 1.0

(1) 0 32.4 10.9

.6 6.8

(2) 2.7 1.0 1.2 .5 .2 .4 .6 .1

1.0 .7 .1 .5

2.0

15.5

(1) 8.4

.7

(2) (1) (1) (1) 0 V) (2)

.1 (2) .2

.1

.7

6.9

(2) .2 (2) (2) (2) 3.5

(2) .4

(2) <*) (2) (2) .4 t2)

Mining

May 1995

11.0 3.2

(1) (1) V)

2.6

9.4 3.0

12.9 5.1 2.9

3.3

(1) .9 V) (1)

30.3 11.0

.7 6.0

(2) 2.7 1.0 1.3 .6 .2 .4 .6 .1

1.0 .6 .1 .5

1.8

15.1 V)

7.7

.7

(2) (1) (1) (1) O V) (2)

.1 (2) .2

.1

.7

7.2

(2) .2 (2) (2) O

3.7

(2) .5

O (2) (2) (2) .5

(2)

June 1995*

11.0 3.3

(1) 0) 0

2.7

9.8 2.9

12.9 5.1 3.0

3.4

(1) .9 0 0)

30.6 11.1

.7 6.2

(2) 2.7 1.0 1.3 .6 .2 .4 .6 .1

1.0 .6 .1 .5

1.8

15.5 V)

7.7

.7

(2) O (1) (1) (1) 0 (2)

.1 (2) .2

.1

.7

7.1

(2) .2 (2) (2) (2) 3.7

(2) .4

(2) (2) (2) (2) .5

(2)

June 1994

84.0 22.4 6.1

15.3 7.4 4.2

13.6 7.1

109.3 74.9 19.2

42.9 5.1 3.6

13.1 .8

470.9 8.9

13.6 104.5

6.5 39.6 47.3 39.8 27.5

3.7 40.3 26.6 26.6

5.0 7.6 6.5 8.4

10.1

101.0 6.1

51.6

51.7 5.2 3.1

20.1 8.3 3.5 5.2 3.1

18.0 2.4

13.6

9.5 116.9

297.7 7.0

32.3 11.5 3.8

24.2 7.7 8.8

35.7 35.9

9.1 9.8 5.1

44.3 21.7

Construction

May 1995

84.9 22.2

5.9 16.2 7.8 4.4

12.9 6.6

112.8 78.5 18.8

44.9 5.5 3.4

13.0 .7

486.5 8.6

13.1 111.0

6.6 40.0 47.5 42.0 25.6 4.2

41.2 26.5 27.6

4.9 7.9 5.9 8.9

10.2

97.2 6.3

50.4

51.0 5.1 2.9

19.6 7.1 3.7 4.7 3.2

18.1 2.6

14.1

9.9 116.6

305.1 7.5

32.8 11.7 4.4

24.2 8.2 8.2

34.3 39.4

9.1 9.5 5.3

45.0 23.1

June 1995?

86.8 22.7 6.1

16.7 7.9 4.4

14.4 7.5

113.8 79.0 19.0

46.2 5.7 3.4

13.3 .7

498.6 8.8

13.2 111.5

6.7 40.7 48.8 43.2 26.1

4.2 41.8 27.3 28.9 4.9 8.0 6.2 9.3

10.1

101.2 6.7

51.6

53.4 5.3 3.1

19.9 7.7 3.8 4.9 3.4

18.5 2.6

14.5

10.2 118.4

306.5 7.6

33.3 11.8 4.4

24.1 8.2 8.1

34.5 39.4 9.1 9.5 5.3

45.5 23.5

Alabama Birmingham Huntsville Mobile Montgomery Tuscaloosa

Alaska Anchorage

Arizona Phoenix-Mesa Tucson

Arkansas Fayetteville-Springdale-Rogers Fort Smith Little Rock-North Little Rock Pine Bluff

California Bakersfield Fresno Los Angeles-Long Beach Modesto Oakland Orange County Riverside-San Bernardino Sacramento Salinas San Diego San Francisco San Jose Santa Barbara-Santa Maria-Lompoc Santa Rosa Stockton-Lodi Vallejo-Fairfield-Napa Ventura

Colorado Boulder-Longmont Denver

Connecticut Bridgeport Danbury Hartford New Haven-Meriden New London-Norwich Stamford-Norwalk Waterbury

Delaware Dover Wilmington-Newark

District of Columbia Washington PMSA

Florida Daytona Beach Fort Lauderdale Fort Myers-Cape Coral Gainesville Jacksonville Lakeland-Winter Haven Melbourne-Titusville-Palm Bay Miami Orlando Pensacola Sarasota-Bradenton Tallahassee Tampa-St. Petersburg-Clearwater .... West Palm Beach-Boca Raton


79


ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT NOT SEASONALLY ADJUSTED

B-14. Employees on nonfarm payrolls in States and selected areas by major industry—Continued

(In thousands)

State and area

N

June 1994

388.7 52.4 37.1 27.8 17.9 10.4

19.9 2.2

194.6 150.4 26.9

255.6 33.7 28.0 35.0

7.5

1,772.2 9.7

29.6 640.7 22.9

101.0 207.1

86.1 36.1

9.4 111.9 73.8

225.5 17.4 20.4 21.6 13.9 30.1

191.5 29.9 90.0

286.7 42.7 19.9 95.1 40.0 28.7 29.2 18.2

64.0 6.2

48.8

13.1 93.4

484.8 13.4 41.1

5.6 5.6

34.4 20.0 28.9 80.9 50.0 11.2 19.1 4.8

87.5 30.2

Aanufacturin

May 1995

385.9 52.8 38.1 26.9 17.3 10.3

16.0 2.1

200.4 154.9 28.2

260.9 34.8 27.5 36.6

7.6

1,758.9 9.3

29.3 633.0

22.6 103.1 203.1

87.3 37.9 8.2

109.4 73.5

224.0 16.4 20.3 22.0 14.7 27.9

193.5 30.2 90.7

280.8 41.3 19.6 92.4 40.9 27.6 28.3 18.3

62.2 6.2

44.6

13.1 95.0

486.4 13.9 41.5

5.7 6.1

35.4 20.5 29.2 80.5 52.6 11.2 19.7 5.0

87.2 30.2

1

June 1995P

387.8 52.9 38.0 27.0 17.4 10.5

19.0 2.3

202.3 156.1 28.4

262.7 34.9 28.0 36.5

7.7

1,768.7 9.4

30.0 631.9

23.4 103.4 205.3 87.6 38.5

8.6 109.8 74.0

225.8 16.7 20.6 22.7 14.7 28.3

194.2 30.2 90.8

282.4 41.3 19.6 92.7 41.2 28.0 28.4 18.6

59.5 6.2

41.4

13.2 95.9

487.1 13.8 41.4

5.7 6.0

35.5 20.6 29.0 80.8 52.7 11.3 19.8 5.0

87.6 29.9

Tra nsportation and public utilities

June 1994

87.3 30.4

3.3 12.3 6.3 2.3

25.2 13.3

85.5 60.2 13.1

59.5 8.4 5.8

18.0 2.0

613.1 8.4

12.5 198.9

5.4 56.8 38.5 38.0 24.5 4.8

35.4 74.7 23.9

5.0 5.6

10.4 6.1

11.0

107.8 4.1

74.9

70.9 7.1 2.8

24.8 16.2 5.9 8.7 3.3

15.3 1.7

13.4

21.4 110.0

295.4 3.7

26.5 6.2 1.9

32.5 8.3 4.7

74.3 38.4

6.4 5.2 3.4

42.6 15.0

May 1995

86.0 29.7

3.1 12.2 6.0 2.3

23.5 12.3

88.7 61.8 13.7

61.6 9.0 6.1

18.6 1.9

611.4 8.2

12.2 198.2

5.3 55.4 40.5 38.7 24.3

4.6 35.7 73.2 23.2

4.8 5.7

10.4 5.6

11.4

108.3 4.3

75.7

71.1 7.1 2.9

25.3 16.3 5.9 8.5 3.3

15.6 1.7

14.1

20.3 108.1

300.3 3.7

27.9 6.2 1.9

31.8 8.5 4.6

76.2 39.1 6.2 5.1 3.3

43.9 15.1

June 1995P

86.4 29.6 3.2

12.6 6.2 2.3

24.9 13.1

89.6 62.3 14.1

62.0 9.0 6.2

18.7 2.0

616.7 8.1

12.4 199.3

5.3 55.9 40.7 39.0 24.4

4.6 36.2 73.6 23.6

4.8 5.8

10.7 5.7

11.7

109.8 4.4

76.7

71.5 7.2 2.9

25.0 16.3 6.0 8.5 3.4

15.7 1.7

14.1

20.5 108.9

299.9 3.8

28.1 6.3 1.9

32.0 8.5 4.6

76.0 39.0

6.3 5.1 3.4

43.7 15.0

Wholesale and retail trade

June 1994

392.9 104.0 31.0 54.4 34.1 15.7

55.7 29.1

405.6 271.4 66.8

234.1 33.4 18.2 65.9

7.3

2,828.2 41.0 63.8

812.8 30.4

203.0 280.7 196.7 127.0 29.1

225.0 191.3 156.5 34.8 37.9 38.6 36.2 55.9

428.3 30.6

229.9

340.8 40.1 21.5

123.7 49.5 27.7 44.6 16.2

81.2 12.9 57.1

53.6 456.3

1,499.3 40.3

159.1 37.8 21.9

113.5 43.3 38.7

237.5 168.2 34.7 52.2 28.9

240.3 103.3

May 1995

401.1 106.3 31.0 56.0 34.7 16.2

54.3 29.0

426.9 288.8

69.9

243.8 35.2 17.8 67.3

7.4

2,815.9 40.4 63.3

813.6 30.4

203.6 282.5 199.3 127.3 28.6

224.4 192.8 158.0 34.8 38.6 39.0 37.4 56.8

437.9 31.9

238.1

336.7 40.7 20.9

124.2 49.1 27.7 42.8 16.2

80.0 12.9 57.0

54.3 460.1

1,560.8 42.2

166.1 39.4 22.7

115.9 44.5 41.7

241.6 176.2 34.9 54.5 29.9

251.7 109.7

June 1995"

402.9 106.7 31.3 56.8 34.8 16.4

57.2 29.8

425.8 288.3 68.9

245.1 35.7 17.8 67.8

7.3

2,835.6 40.5 63.7

817.4 30.4

204.8 284.0 199.6 127.4 28.8

226.1 194.0 158.5 35.0 38.8 39.0 37.7 57.0

445.1 32.3

242.1

338.9 40.8 21.0

124.5 50.1 28.5 43.5 16.3

83.0 13.0 57.3

54.3 464.3

1.553.0 41.8

166.2 38.7 22.8

115.6 44.7 41.2

240.8 175.7 35.0 53.5 30.1

250.1 108.4


Alaska Anchorage








Florida Daytona Beach Fort Lauderdale Fort Myers-Cape Coral Gainesville Jacksonville Lakeland-Winter Haven Melbourne-Titusville-Palm Bay Miami Orlando Pensacola Sarasota-Bradenton Tallahassee Tampa-St. Petersburg-Clearwater ... West Palm Beach-Boca Raton


80





(In thousands)

State and area


June 1994

77.6 30.8

4.6 8.9 8.7 2.2

12.3 7.5

111.5 90.2 12.9

42.1 4.2 2.9

17.0 1.4

792.1 5.9

13.9 243.2

5.0 57.1 95.0 32.2 42.1

6.7 61.1

101.3 30.4

7.7 11.1 8.9 5.6

12.5

111.3 5.4

73.7

137.7 I 10.6

4.1 76.5 14.6 3.7

21.4 4.2

39.4 1.5

34.8

31.4 139.8

376.5 6.4

41.2 8.1 4.6

48.1 7.6 5.7

66.6 41.1

5.3 10.8 5.1

66.0 26.9

May 1995

77.0 30.5

4.6 8.9 8.6 2.3

12.0 7.5

111.2 91.6 11.8

42.9 4.3 3.0

17.2 1.4

769.5 5.9

13.2 238.3

4.5 53.4 90.1 31.4 41.5

6.5 58.8 99.7 28.3

7.3 10.7 8.5 5.4

12.1

110.0 5.2

73.4

132.8 9.9 4.2

73.0 13.7 3.6

21.6 4.1

40.5 1.3

36.1

30.9 134.3

382.9 6.4

41.3 8.1 4.6

50.2 7.5 5.7

67.0 43.5

5.5 11.1 5.2

66.7 27.5

June 1995P

77.6 30.7

4.7 9.0 8.6 2.3

12.5 7.6

110.9 91.6 11.7

43.2 4.4 3.0

17.3 1.4

771.2 5.9

13.3 237.9

4.5 53.3 90.0 31.4 41.8

6.5 59.0

100.1 28.3

7.3 10.8 8.5 5.4

12.3

110.9 5.2

74.1

134.3 10.0 4.2

73.1 13.8 3.7

21.9 4.2

41.0 1.4

36.3

31.2 134.0

384.1 6.5

41.5 8.1 4.6

50.5 7.5 5.6

67.0 43.5

5.6 11.2 5.2

66.3 27.5

June 1994

374.6 119.6 41.7 53.2 36.0 11.7

61.1 32.2

482.0 333.4

87.6

231.1 23.5 22.9 79.0

7.8

3,555.8 38.1 63.4

1,158.7 28.1

243.3 331.7 191.9 145.6 28.3

297.9 307.0 242.8 43.9 39.0 35.8 35.9 67.8

510.6 41.7

279.7

453.6 53.4 22.9

156.1 80.4 32.5 62.7 24.3

93.4 10.9 75.7

261.1 853.9

1,933.2 47.4

184.1 47.5 29.6

143.1 43.0 56.9

281.0 273.3

45.8 81.8 33.7

350.3 138.1

Services

May 1995

380.3 121.6 40.0 54.2 36.7 12.6

60.3 32.4

502.4 351.0

91.0

238.4 24.5 22.1 80.9

8.1

3,641.7 39.0 64.0

1,197.8 28.3

245.8 336.7 196.7 147.0 28.5

295.3 312.4 242.1 44.4 40.4 36.7 36.8 69.0

513.2 43.0

286.9

458.8 54.7 22.4

156.8 81.6 31.2 62.7 24.1

93.1 10.7 76.3

261.2 874.9

2,030.5 49.5

196.8 48.6 31.8

149.2 46.0 59.3

290.8 293.6 49.1 89.0 35.0

369.2 143.9

June 1995P

382.6 122.7 40.1 54.8 36.7 12.5

62.9 33.2

501.5 350.6

90.6

240.6 24.6 22.5 81.7

8.1

3,649.9 39.0 64.0

1,189.8 28.6

245.8 338.7 195.0 147.4 28.7

299.2 312.6 243.9

43.7 40.8 36.4 37.2 69.0

525.6 44.0

288.6

460.9 54.7 22.2

157.0 81.2 31.8 63.8 24.5

95.0 10.9 77.2

261.5 883.6

2,040.7 50.0

196.8 48.9 31.7

151.4 46.0 59.5

290.2 296.7 49.1 90.0 35.1

372.8 143.2

June 1994

346.7 67.1 39.2 33.7 37.1 21.0

72.9 28.6

253.7 134.5 59.8

170.6 15.7 9.1

54.4 7.8

2,130.4 49.0 61.3

541.0 22.5

171.4 131.7 157.8 163.5 26.4

184.9 128.5 90.2 30.2 25.2 33.5 35.2 43.6

298.7 24.6

140.9

218.2 20.4 10.1 91.4 30.7 29.4 17.1 12.7

50.9 13.5 36.3

274.7 633.8

904.2 23.3 78.7 22.1 35.8 61.4 25.6 25.1

133.0 79.6 29.4 24.6 54.4

127.1 49.8

Governmenl

May 1995

349.9 68.4 40.0 34.5 37.7 21.8

75.2 28.9

306.2 166.9 66.3

179.3 16.9 9.6

56.9 8.1

2,143.5 48.1 64.1

540.4 22.7

173.1 130.3 163.8 163.7 25.1

187.0 127.0 89.7 31.0 26.1 34.5 33.9 43.5

309.6 26.6

142.4

216.2 20.3 10.7 93.8 30.5 29.6 17.2 13.1

52.0 14.0 37.6

254.7 614.7

938.3 23.4 81.7 23.2 39.0 67.2 26.1 25.3

135.8 81.2 28.3 25.3 58.1

131.7 50.8

June 1995P

343.6 67.6 39.5 34.1 37.4 20.3

72.5 28.3

278.8 150.3 58.8

172.8 16.5 8.9

55.8 7.9

2,141.5 49.6 63.4

542.1 22.6

171.2 128.8 160.2 163.7 25.2

187.4 127.0 89.4 30.9 25.8 33.7 33.8 43.9

301.4 25.1

140.7

216.7 20.4 10.5 93.3 30.0 29.8 17.3 12.7

50.9 13.9 37.0

254.8 610.9

926.2 23.5 81.5 23.2 36.6 63.7 26.6 25.0

134.2 80.7 28.2 25.3 55.5

130.9 50.6


Alaska Anchorage








Florida Daytona Beach Fort Lauderdale Fort Myers-Cape Coral Gainesville Jacksonville Lakeland-Winter Haven Melbourne-Titusville-Palm Bay Miami Orlando Pensacola Sarasota-Bradenton Tallahassee Tampa-St. Petersburg-Clearwater .... West Palm Beach-Boca Raton


81



B-14. Employees on nonfarm payrolls in States and selected areas by major Industry—Continued

(In thousands)


3,271.7 55.2 64.9

1,731.8 191.2 105.5 137.3 123.7

539.5 414.3

469.3 173.7

5,526.3 72.8 90.9

3,826.3 171.7 55.9 41.4

160.6 165.0 109.7

2,721.2 60.1

116.5 148.3 255.5 250.8 778.9 50.1 81.2 57.9

128.5 67.3

1,344.0 J 104.6

257.1 49.3 62.5 62.5 65.6

1,179.1 39.1 98.4

254.6

1,609.6 242.0 523.3

I 41.3

1,721.2 51.9

262.1 63.6

142.5 i 76.4

61.6 581.4 160.3

543.2 40.9

130.3

Total

May 1995

3,386.1 55.7 68.4

1,820.1 189.4 107.3 139.9 126.2

536.5 411.6

474.7 178.6

5,551.1 74.4 94.4

3,862.7 170.0 53.4 41.3

154.9 165.2 110.1

2,770.1 60.0

119.4 146.9 262.0 250.6 796.1

52.0 87.9 62.7

127.1 68.6

1,364.9 107.3 257.8

50.9 63.7 63.7 68.2

1,204.9 43.5 97.6

255.3

1,636.8 251.1 530.2 43.8

1,795.0 52.7

268.8 66.0

146.4 79.5 64.8

595.3 162.2

542.5 41.4

128.2

June 1995P

3,409.9 56.1 67.7

1,834.7 190.3 108.6 140.2 126.2

535.4 410.1

480.6 181.2

5,567.5 74.2 91.6

3,878.8 172.1 54.0 41.7

154.6 167.1 109.8

2,754.0 61.2

119.9 147.5 264.3 250.1 796.1

51.7 86.2 60.5

128.5 68.3

1,371.4 107.2 259.1

51.1 62.5 63.7 65.9

1,209.6 39.8 98.8

254.9

1,636.9 251.3 535.4 43.1

1,795.0 52.5

272.5 66.7

146.0 80.1 64.6

591.4 163.0

555.3 41.3

129.9

June 1994

7.7 ft ft

1.5 .5

0 1.1

(1) (1) (1)

2.5

(1) 15.5

ft ft

2.2

(1) (1) 0 (1) O ft

7.0 ft ft

1.5 ft (1) .8

(1) ft ft (1) .4

2.3 ft ft (1) 0 (1) 0)

8.3 ft o 1.4

28.1 .2 .6 .5

46.8 .1 .8

5.7 11.5

1.4 .3

13.7 3.0

.1 ft ft

Mining

May 1995

7.6 ft (1) 1.6

.5

(1) 1.1 ft

(1) (1)

2.8 ft

14.2 ft ft

1.8 ft ft ft ft ft ft

6.7 ft ft

1.5 ft ft

.9 ft ft ft ft

.3


8.3 ft ft

1.5

27.0 .2 .6 .4

49.3 .1

1.0 6.2

11.5 1.4 .3

13.2 2.8

.1

(2) (2)

June 1995P

7.7 ft ft

1.6 .5

ft 1.2

ft

ft ft

3.0 ft

14.3 ft ft


6.7 ft ft

1.5 ft ft

.9 ft ft ft ft

.3


8.3 ft ft

1.5

27.0 .2 .6 .5

50.0 .1

1.0 6.3

11.7 1.4 .3

13.2 2.8

.2 ft ft

( June 1994

142.0 3.1 2.3

75.8 11.4 4.5 5.0 6.6

29.4 22.4

31.4 13.3

227.3 2.7 3.3

150.9 9.0 3.4 2.5 8.5 6.5 5.5

133.5 2.9 4.4 8.8

12.2 16.8 42.8

1.5 3.7 2.7 6.8 3.4

59.7 5.8

11.7 1.9 2.6 3.1 2.8

53.0 2.0 4.4

12.9

78.6 12.0 27.5

3.1

104.2 3.3

29.9 3.0 7.5 7.8 2.8

27.2 8.3

22.5 1.7 5.4

Donstructior

May 1995

152.8 3.3 2.2

85.1 10.5 4.4 5.2 7.1

26.7 20.2

29.8 13.5

216.7 2.4 2.9

147.6 8.4 3.3 2.4 8.0 6.1 4.8

131.9 3.0 4.4 9.2

13.4 17.0 42.7

1.6 3.3 2.6 6.8 3.4

57.0 5.8

10.8 2.2 2.5 2.9 2.7

52.7 1.9 4.1

12.2

74.3 12.0 29.2

3.3

108.2 3.3

30.8 2.8 8.5 8.5 3.2

26.8 8.6

22.6 1.8 5.5

l

June 1995P

156.7 3.2 2.2

85.9 10.3 4.6 5.4 7.3

26.9 20.2

30.9 14.0

227.4 2.6 3.2

153.4 8.9 3.3 2.5 8.4 6.5 5.0

138.4 3.1 4.5 8.5

14.0 17.5 44.0

1.7 3.7 2.8 7.4 3.8

61.0 5.8

11.5 2.3 2.6 3.1 2.9

55.8 2.1 4.3

12.8

76.8 12.7 29.8

3.5

109.1 3.4

31.2 2.9 8.5 8.7 3.2

27.6 8.9

23.7 1.7 5.5

Georgia Albany Athens Atlanta Augusta-Aiken Columbus Macon Savannah

Hawaii Honolulu

Idaho Boise City

Illinois Bloomington-Normal Champaign-Urbana Chicago Davenport-Moline-Rock Island Decatur Kankakee Peoria-Pekin Rockford Springfield

Indiana Bloomington Elkhart-Goshen Evansville-Henderson Fort Wayne Gary Indianapolis Kokomo Lafayette Muncie South Bend Terre Haute

Iowa Cedar Rapids Des Moines Dubuque Iowa City Sioux City Waterloo-Cedar Falls

Kansas Lawrence Topeka Wichita

Kentucky Lexington Louisville Owensboro

Louisiana Alexandria Baton Rouge Houma Lafayette Lake Charles Monroe New Orleans Shreveport-Bossier City

Maine Lewiston-Aubum Portland


82





(In thousands)

State and area

Manufacturing

June 1994

577.3 7.9

11.2 205.9 44.7 20.8 19.5 17.3

18.0 13.5

72.7 30.5

965.3 8.5

11.3 652.2

30.0 13.3 6.8

32.4 51.3 4.4

668.1 9.4

60.0 33.5 71.5 52.8

124.3 19.8 19.7 11.2 22.4 12.9

248.3 21.3 26.2 13.3 4.6

I 12.5 14.2

[ 190.0 | 4.8

10.0 56.8

306.9 40.1 91.7 6.6

188.4 3.4

23.0 5.7

16.3 11.1 7.8

49.0 19.8

92.1 9.0

13.4

May 1995

585.4 7.4

11.6 212.3 43.0 20.4 19.7 17.0

16.8 12.9

73.0 31.7

955.3 8.8

11.7 652.5

30.3 10.5 6.8

25.0 51.5 4.6

679.4 9.7

59.8 32.0 74.0 53.0

125.2 20.7 20.9 11.3 23.0 13.1

249.6 21.2 25.9 13.1 4.4

12.6 14.2

194.7 5.2

10.2 57.2

311.1 42.2 92.1 6.7

191.5 3.5

23.7 6.1

16.6 11.2 7.9

48.2 20.2

91.1 6.6

13.1

June 1995P

587.8 7.8

11.4 212.9 43.1 20.1 19.6 17.0

16.8 12.8

74.4 32.1

959.7 8.9

11.4 656.3

30.3 10.7 6.8

24.9 51.5 4.4

683.5 9.9

59.6 32.4 75.1 52.9

125.7 20.9 21.2 11.4 23.0 13.1

251.7 21.3 26.2 13.3 4.4

12.7 14.1

195.8 5.1

10.2 57.4

311.6 42.6 92.5 6.7

192.6 3.4

23.9 6.3

16.5 11.3 8.0

48.3 20.2

92.9 8.5

13.4

Transportation and

June 1994

211.8 3.2 1.7

145.9 5.9 3.6 5.6 9.6

42.2 34.3

22.0 8.3

319.0 2.8 2.5

229.3 8.8 5.2 1.8 9.1 7.8 5.0

139.1 1.7 3.9 7.2

13.2 16.3 46.8

1.3 2.1 5.2 5.9 3.0

59.4 6.8

12.2 2.0 1.7 3.8 2.0

68.5 1.1 6.8

11.6

89.5 10.1 35.5

2.3

110.8 2.7

12.6 6.4 8.8 4.7 3.8

43.5 8.2

23.1 1.6 6.3

Dublic utilities

May 1995

208.6 3.0 1.6

143.0 6.0 3.5 5.2 9.7

41.3 33.5

22.7 8.4

322.2 2.9 2.6

229.6 8.6 5.2 1.8 8.9 8.1 5.1

138.6 1.8 4.1 7.2

13.1 15.8 46.9

1.2 2.2 5.9 5.9 3.0

60.2 7.1

12.4 1.9 1.9 3.8 2.0

70.5 1.1 6.8

11.3

90.2 10.3 36.5

2.2

113.4 2.8

12.6 6.5 8.7 5.1 3.8

42.3 8.0

22.9 1.7 5.7

June 1995P

208.7 3.0 1.6

142.9 6.1 3.6 5.2 9.7

41.6 33.8

22.7 8.3

323.5 2.8 2.6

232.7 8.7 5.2 1.8 9.1 8.2 5.0

140.3 1.8 4.1 7.2

13.2 15.8 47.2

1.2 2.2 6.0 5.9 3.0

60.7 7.2

12.7 2.0 1.9 3.8 2.0

70.9 1.1 6.8

11.4

90.9 10.4 36.6

2.2

113.8 2.8

12.7 6.9 8.8 5.0 3.8

41.8 8.0

23.6 1.7 5.9


June 1994

815.4 13.2 15.4

462.2 40.6 23.7 31.9 30.9

132.3 99.2

118.4 41.8

1,287.4 16.7 19.3

887.3 47.7 12.4 10.8 39.0 34.8 23.4

651.1 13.9 20.9 37.5 60.6 61.6

202.6 11.0 17.1 12.8 33.0 19.7

334.4 24.2 67.5 11.6 11.7 15.8 16.1

285.0 9.9

21.4 59.2

381.5 55.9

125.7 10.5

399.0 11.4 58.1 15.9 36.2 17.0 15.9

143.2 37.1

138.5 10.1 38.2

May 1995

847.5 13.4 16.5

485.2 41.1 24.1 33.8 31.6

133.6 100.0

120.5 42.4

1,290.6 16.5 19.3

893.2 47.6 12.3 10.8 38.6 34.7 23.2

663.6 15.8 22.5 37.9 61.5 60.6

211.6 11.5 18.1 13.9 32.7 19.6

338.9 24.7 68.0 12.2 11.8 16.0 16.5

288.8 10.5 21.2 59.4

389.6 58.0

129.2 11.2

413.3 11.5 60.0 16.8 36.2 17.4 16.5

147.3 38.1

136.2 10.2 38.8

June 1995p

854.5 13.4 16.4

490.2 41.5 24.6 33.6 31.7

134.6 100.7

122.3 43.0

1,300.6 16.5 19.0

899.2 47.7 12.4 10.8 39.0 34.8 23.2

665.7 15.6 23.1 38.1 61.9 60.3

212.8 11.2 18.1 13.8 32.4 19.3

340.2 24.7 68.0 12.3 11.9 16.1 16.4

290.6 10.1 21.5 59.8

393.0 58.0

130.7 11.2

416.1 11.6 60.7 16.6 36.2 17.6 16.6

147.8 38.4

142.8 10.5 40.2

Georgia Albany Athens , Atlanta Augusta-Aiken Columbus Macon Savannah

Hawaii Honolulu

Idaho Boise City







Maine Lewiston-Auburn Portland


83


ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT NOT SEASONALLY ADJUSTED B-14. Employees on nonfarm payrolls in States and selected areas by major industry—Continued (In thousands)

State and area

Fin* ince, insurance, and real estate

June 1994

173.6 2.0 2.0

116.4 6.7 7.4 8.0 4.2

38.8 32.0

24.4 11.5

398.3 13.4 3.5

310.5 8.1 2.5 1.7 8.4 7.1 8.5

134.3 2.3 3.0 6.4

13.6 9.4

57.9 1.4 3.8 1.8 6.6 2.3

77.4 5.7

36.0 1.7 1.7 2.6 2.8

59.3 1.8 6.4

11.4

65.5 I 9.7

29.2 1.9

80.6 2.2

15.5 2.3 5.7 2.6 4.3

30.1 6.6

26.9 1.9

12.4

May 1995

174.6 2.0 1.9

117.9 6.4 7.2 8.2 4.1

37.9 31.0

24.2 11.9

396.3 13.6 3.5

310.6 7.9 2.4 1.7 8.3 7.2 8.4

130.9 1.9 2.9 6.5

13.5 9.4

57.3 1.5 4.0 1.8 6.0 2.2

78.5 5.6

36.5 1.6 1.8 2.7 2.8

58.4 1.7 6.4

11.1

63.6 9.4

29.0 1.8

81.4 2.1

15.7 2.2 5.6 2.6 4.5

29.8 6.4

26.7 1.9

12.1

June 1995^

175.4 2.0 1.9

118.1 6.3 7.3 8.3 4.1

37.9 31.1

24.2 11.9

400.0 13.9 3.5

313.0 8.0 2.5 1.7 8.3 7.2 8.5

133.3 2.0 2.9 6.5

13.7 9.6

58.2 1.6 4.1 1.9 6.1 2.3

79.5 5.7

36.6 1.7 1.8 2.7 2.9

58.8 1.8 6.4

11.2

64.8 9.3

29.3 1.8

81.6 2.1

16.0 2.2 5.7 2.6 4.5

29.9 6.5

26.9 1.9

12.0

June 1994

778.7 13.4 11.6

481.8 42.7 25.3 30.4 34.8

163.9 119.9

104.2 40.7

1,535.3 16.6 20.1

1,122.3 42.5 13.3 10.9 47.5 40.8 30.0

612.6 12.5 17.5 39.2 59.3 60.5

197.7 8.5

16.4 14.1 41.4 15.1

328.5 29.2 70.1 15.0 13.1 17.7 16.5

279.8 8.9

25.3 68.2

384.3 63.0

144.9 10.9

442.6 14.9 66.7 11.9 34.4 18.6 15.7

173.7 46.1

144.3 12.0 37.9

Services

May 1995

830.3 14.1 12.1

525.1 43.2 26.8 31.6 35.6

164.6 120.6

105.0 42.4

1,549.4 16.7 20.7

1,152.0 41.6 13.7 10.8 48.2 41.1 30.1

624.3 12.6 18.8 38.1 59.6 58.6

199.8 8.5

17.4 14.3 40.2 15.7

344.3 31.3 70.6 16.2 13.1 18.7 16.8

286.9 9.7

25.1 68.6

389.9 66.4

144.5 11.8

477.3 15.4 69.1 12.2 36.3 20.2 15.9

185.6 46.5

147.7 12.4 36.1

June 1995P

840.9 14.1 11.9

534.8 43.7 27.4 31.8 35.5

164.4 120.4

107.7 43.3

1,563.7 17.3 21.1

1,156.8 42.9 14.1 11.2 49.2 42.2 30.8

623.8 12.7 18.8 38.9 60.3 58.8

201.0 8.8

17.7 14.6 41.8 15.7

343.2 30.7 70.7 15.6 13.0 18.2 16.6

289.1 8.8

25.3 68.2

392.5 65.5

146.0 11.7

474.2 15.3 70.2 12.5 35.9 20.0 15.9

181.8 46.7

151.8 12.3 36.7

June 1994

565.2 12.4 20.7

242.3 38.7 20.2 35.8 20.3

114.9 93.0

93.7 27.6

778.2 12.1 30.9

471.6 25.6

5.8 6.9

15.7 16.7 32.9

375.5 17.4 6.8

14.2 25.1 33.4

106.0 6.6

18.4 10.1 12.4 10.5

234.0 11.6 33.4 3.8

27.1 7.0

11.2

235.2 10.6 24.1 33.1

275.2 51.0 68.2

5.5

348.8 13.9 55.5 12.7 22.1 13.2 11.0

101.0 31.2

95.7 4.6

16.7

Government

May 1995

579.3 12.5 22.5

249.9 38.7 20.9 35.1 21.1

115.6 93.4

96.7 28.3

806.4 13.5 33.7

475.4 25.6 6.0 7.0

17.9 16.5 33.9

394.7 15.2 6.9

14.5 26.9 36.2

111.7 7.0

22.0 12.9 12.5 11.3

234.1 11.6 33.6

3.7 28.2

7.0 13.2

244.6 13.4 23.8 34.0

291.1 52.6 69.1

6.4

360.6 14.0 55.9 13.2 23.0 13.1 12.7

102.1 31.6

95.2 4.8

16.9

June 1995P

578.2 12.6 22.3

248.3 38.8 21.0 35.1 20.9

113.2 91.1

95.4 28.6

778.3 12.2 30.8

465.5 25.6

5.8 6.9

15.7 16.7 32.9

362.3 16.1 6.9

14.4 26.1 35.2

106.3 6.3

19.2 10.0 11.9 10.8

232.8 11.8 33.4

3.9 26.9

7.1 11.0

240.3 10.8 24.3 32.6

280.3 52.6 69.9

5.5

357.6 13.8 56.8 13.0 22.7 13.5 12.3

101.0 31.5

93.4 4.7

16.2


Hawaii Honolulu

Idaho Boise City









84





(In thousands)


2,176.8 1,125.6

414.8 796.3

2,936.8 56.9

1,787.7 86.0 49.4

137.4 104.2 62.7 40.8

240.7 214.4

4,174.5 246.0 68.9

1,975.5 175.1 494.0

57.4 198.7 215.0 170.6

2,346.6 104.9

1,516.3 68.9 78.5

1,064.6 207.3

2,488.5 847.8

1,228.4 146.0

346.9

805.0 133.4 364.9

737.8 504.7 160.0

529.9 89.3 83.1

107.4

3,612.0 183.2 618.7 449.1 238.5 561.8 356.7 924.0 198.3 57.8

658.3 308.3

46.0 70.3

7,899.8 433.0 113.9

Total

May 1995

2,172.0 1,126.9

412.1 800.3

2,960.1 52.5

1,788.7 87.5 50.3

139.5 103.6 62.2 40.3

244.0 217.3

4,286.6 251.1

71.6 2,032.5

185.0 510.6

58.9 202.5 224.4 176.5

2,380.1 105.7

1,546.5 67.9 82.4

1,056.6 208.7

2,558.2 872.7

1,244.1 151.7

351.1

814.4 135.1 372.4

777.0 538.9 165.3

531.2 88.4 84.4

108.2

3,611.4 174.4 621.0 450.6 241.1 569.8 354.0 921.5 199.1 58.1

689.4 323.3 48.9 71.6

7,874.9 431.8 113.3

June 1995*

2,186.1 1,127.6

411.6 806.1

2,984.0 57.9

1,802.3 88.1 50.4

140.4 103.8 62.6 41.4

244.0 218.8

4,274.5 249.2

71.3 2,034.1

185.4 508.3

58.8 202.8 218.7 177.0

2,401.1 107.1

1,554.2 69.4 80.8

1,053.5 209.4

2,554.9 880.3

1,241.3 150.9

354.8

818.0 136.1 376.6

778.1 535.4 166.9

535.9 87.9 85.9

107.5

3,657.4 184.6 626.0 453.5 242.8 570.1 364.9 925.2 197.6 58.9

690.4 324.7

48.0 72.9

7,926.3 433.1 113.5

June 1994

1.1 .2

(2) (2) 1.4

0 .5

(2) (2) (2) (1) (2) .1

.1

.3

9.2

(1) (1) .9

(1) (1) (1) 0 0 (1)

7.9 5.2

(2) V) (1)

4.9

(2) 4.7

(1) (1) (1)

5.8

1.4

(1) (1)

12.5 1.6 .7

.5 O O V)

2.0

(1) (1) V) (1) .6

(1) .7 0

.3

15.4

(1) (1) 0)

5.4 .5

(1)

Mining

May 1995

1.0 .2

(2) (2) 1.5

O .5

(2) (2) (2) O (2) .1

.1

.3

9.0

(1) (1) .6

(1) (1) 0 (1) (1) (1)

8.0 5.0

(2) (1) (1)

4.8

(2) 4.6

O (1) (1)

5.4

1.4

(1) (1)

13.2 1.6 .7

.5 0 (1) 0

2.1

(1) O (1) (1) .6 (1) .7

(1) .3

15.9

(1) (1) (1)

5.6 .5

(1)

June 1995P

1.1 .2

(2) (2) 1.5

(1) .5

(2) (2) (2) (1) (2) .1

.2

.3

9.0

(1) (1) .6

(1) (1) (1) (1) (1) (1)

8.2 5.2

(2) (') O

4.9

(2) 4.8

V) (1) (1)

5.7

1.4 (1) (1)

13.5 1.6 .7

.5 (1) V) (1)

2.1

(1) O (1) (1) .6 (1) .7

(1) .3

16.0 O C) (1)

5.8 .5

O

June 1994

131.3 62.6 13.0 54.9

92.1 2.2

51.6 3.1 1.4 5.2 4.7 2.2 1.5 7.6 6.4

150.8 7.4 2.0

63.4 5.9

22.1 1.8 7.2 6.7 8.0

90.1 4.0

54.7 2.4 3.8

46.1 9.7

118.6 42.5 64.6

7.0

16.7

37.0 5.9

17.9

57.0 42.4

9.7

19.2 3.4 2.6 2.9

128.3 6.8

22.0 19.9 4.6

18.7 16.6 32.0 4.5 1.9

42.1 22.0 2.9 3.7

263.3 17.0 4.5

Construction

May 1995

127.6 61.5 12.4 54.0

91.8 2.2

50.5 3.3 1.5 5.3 4.0 2.1 1.5 7.1 6.1

161.5 7.2 1.9

71.3 5.2

23.1 1.8 7.0 6.4 8.0

83.2 3.8

55.0 2.1 4.0

48.6 10.9

116.9 44.4 62.2

7.6

15.3

32.6 4.9

16.1

59.5 44.8 10.0

20.5 3.7 2.9 3.2

129.2 6.7

22.7 20.5 4.0

19.9 16.4 31.8 4.3 1.8

46.8 24.5 3.3 4.2

259.6 15.8 4.1

June 1995P

130.2 62.4 12.5 55.0

95.8 2.3

52.7 3.6 1.6 5.5 4.1 2.2 1.6 7.7 6.5

168.7 7.6 2.0

73.5 5.7

23.9 1.9 7.3 6.8 8.6

91.4 4.2

57.9 2.4 4.4

50.3 11.0

121.3 47.3 63.8

7.8

16.8

33.8 5.2

16.6

60.6 45.5 10.2

21.4 3.9 3.0 3.4

132.6 6.5

23.4 21.5 3.8

20.7 17.1 31.7

4.5 1.8

48.0 25.2

3.4 4.4

270.7 17.0 4.4

Maryland Baltimore PMSA Baltimore City Suburban Maryland-D.C

Massachusetts Barnstable-Yarmouth Boston Brockton Fitchburg-Leominster Lawrence Lowell New Bedford Pittsfield Springfield Worcester

Michigan Ann Arbor Benton Harbor Detroit Flint Grand Rapids-Muskegon-Holland Jackson Kalamazoo-Battle Creek Lansing-East Lansing Saginaw-Bay City-Midland

Minnesota Duluth-Superior Minneapolis-St. Paul Rochester St. Cloud

Mississippi Jackson

Missouri Kansas City St. Louis Springfield

Montana

Nebraska Lincoln Omaha

Nevada Las Vegas Reno

New Hampshire Manchester Nashua Portsmouth-Rochester

New Jersey Atlantic-Cape May Bergen-Passaic Camden Jersey City Middlesex-Somerset-Hunterdon .. Monmouth-Ocean Newark Trenton Vineland-Millville-Bridgeton

New Mexico Albuquerque Las Cruces Santa Fe

New York Albany-Schenectady-Troy Binghamton


85




(In thousands)

State and area

Manufacturing

June 1994

180.6 107.2 36.8 35.3

452.1 2.2

227.5 10.9 13.9 34.9 28.4 15.4 7.5

40.1 40.0

956.9 52.5 20.4

439.8 48.2

144.1 12.7 50.2 29.8 41.0

419.3 8.4

271.5 10.4 14.9

262.6 22.2

415.0 106.7 197.2 21.8

23.3

109.4 16.2 37.2

33.8 17.9 12.1

101.5 11.7 27.3 18.7

515.0 7.1

112.9 57.8 33.7 94.7 21.1

144.3 24.3 14.3

44.9 28.4

2.3 2.1

965.7 43.0 25.6

May 1995

177.5 105.0 36.2 36.4

448.7 2.2

221.2 11.3 13.8 34.8 27.5 14.7 7.3

41.1 40.8

979.7 54.2 21.3

449.4 49.5

149.3 13.2 50.7 31.3 41.7

422.3 8.1

274.7 10.0 15.0

255.5 22.6

423.6 109.2 199.1 22.4

23.2

111.3 17.0 37.8

35.4 19.3 12.4

100.7 11.7 26.6 19.3

500.7 7.0

108.1 57.7 32.2 92.3 21.0

140.7 23.8 14.1

46.2 29.1

2.3 2.2

948.1 42.1 24.6

June 1995P

178.3 105.1 36.3 36.7

451.7 2.3

222.3 11.3 14.0 35.0 27.6 14.7 7.3

41.4 41.2

974.8 53.8 21.3

441.2 49.7

150.4 13.1 51.4 31.5 42.1

428.6 8.2

277.5 10.1 15.2

255.9 22.7

425.8 110.4 199.4 22.7

24.1

112.2 17.1 38.0

35.6 19.4 12.4

101.1 11.6 26.7 19.4

502.6 6.8

108.5 57.5 32.7 92.3 21.0

141.4 23.7 14.6

46.6 29.4

2.4 2.2

953.2 41.7 24.9


June 1994

105.0 55.7 20.7 34.6

129.3 2.9

81.4 5.1 1.9 4.5 5.9 2.6 1.2 9.2

10.0

165.4 6.3 2.9

88.4 5.1

17.5 3.6 6.4 6.1 6.9

114.3 6.2

82.1 2.1 2.8

48.9 13.5

157.2 66.7 79.2

8.6

21.2

48.4 7.6

25.3

38.0 25.1 11.0

19.3 5.4 2.4 3.6

246.3 7.8

29.0 21.1 30.3 45.9 18.8 80.3

7.0 2.4

29.2 13.1

1.5 1.2

409.4 16.7 4.5

May 1995

104.2 55.3 20.6 34.6

128.0 2.9

79.0 5.1 2.1 4.8 5.9 2.6 1.1 9.2 9.4

164.5 6.6 2.9

89.6 5.4

17.1 3.6 6.4 6.0 7.2

116.5 5.8

84.7 2.1 2.9

46.8 13.4

156.9 67.4 78.2

9.4

20.7

50.4 7.6

26.2

39.5 26.4 11.0

19.7 5.7 2.5 3.5

247.2 7.5

28.9 21.3 31.1 45.6 19.0 81.0

6.9 2.5

30.8 13.9

1.7 1.2

397.9 16.6 4.7

June 1995*

104.8 55.7 20.7 34.5

129.5 3.0

79.2 5.1 2.1 4.9 5.9 2.6 1.1 9.4 9.4

165.3 6.8 2.9

88.9 5.4

17.5 3.6 6.5 6.2 7.3

116.6 6.0

84.7 2.1 3.0

47.4 13.8

157.3 67.7 78.2

9.2

20.9

50.7 7.7

26.6

39.6 26.5 11.0

19.9 5.7 2.6 3.5

248.0 7.7

28.9 21.6 31.8 45.2 19.4 81.0

6.8 2.6

29.6 13.5

1.5 1.2

401.9 16.8 4.7


June 1994

522.7 262.4

68.7 190.7

676.8 20.6

392.5 27.7 11.4 33.3 21.8 15.2 9.8

54.4 48.3

983.2 48.9 15.4

466.3 42.8

119.1 14.1 44.1 48.1 43.8

566.8 27.5

358.9 14.6 24.0

221.3 49.7

592.9 206.6 292.9

42.3

94.9

199.1 28.1 89.0

144.7 101.1 35.4

137.1 21.8 21.0 27.7

848.8 40.3

174.0 119.6 58.7

131.9 97.4

181.6 30.8 10.8

157.1 74.7 10.1 15.1

1,598.2 88.4 24.6

May 1995

519.4 263.6 67.6

191.3

675.1 17.8

389.1 27.9 11.4 33.5 21.8 14.9 10.0 55.7 48.5

997.5 49.5 15.5

477.4 43.8

121.0 14.3 44.5 48.1 45.1

574.3 27.6

361.5 14.3 24.8

218.3 49.3

617.0 210.2 295.8

44.7

95.1

203.2 28.6 89.9

151.7 106.6 36.6

136.1 21.9 21.7 27.1

849.6 35.1

175.1 121.6 59.3

134.4 96.4

182.8 30.7 10.6

163.0 77.8 10.6 15.5

1,591.8 91.1 24.7

June 1995P

526.6 264.7

67.8 192.6

684.2 20.8

392.9 28.5 11.4 33.5 22.0 15.1 10.2 55.8 48.9

1,011.4 49.6 15.9

484.6 44.7

121.5 14.5 44.7 48.3 45.6

580.3 27.9

363.5 14.5 24.6

220.2 49.9

619.4 211.9 297.1

44.4

96.5

203.9 28.6 90.7

152.9 107.4 36.8

139.6 22.3 21.7 27.8

867.6 41.0

176.7 121.7 59.9

135.5 101.7 183.6 31.0 10.6

166.0 78.8 10.7 15.9

1,614.0 92.0 24.9





Mississippi Jackson


Montana








86





(In thousands)

State and area


June 1994

136.1 75.5 38.9 51.7

210.8 3.4

151.6 3.3 1.6 4.9 3.6 2.0 1.9

14.2 17.0

200.0 9.8 2.7

113.0 6.4

20.2 1.9

10.5 12.4 6.5

141.2 3.6

111.9 2.0 2.5

39.9 14.9

148.2 64.0 77.2 6.4

16.0

51.9 8.8

32.2

34.4 25.7

7.5

30.1 8.4 3.2 6.6

233.9 6.2

35.9 23.7 21.1 44.8 18.6 68.2 11.1 3.7

29.7 16.3 2.0 3.0

745.7 26.7 4.0

May 1995

130.9 73.3 37.3 49.5

211.0 3.4

151.6 3.3 1.6 5.0 3.7 2.0 1.9

13.8 17.3

194.9 9.6 2.7

109.5 6.4

20.8 1.9

10.7 12.8 6.3

139.9 3.4

110.3 2.0 2.3

39.1 14.7

146.9 64.0 77.3 6.6

16.0

52.2 8.8

32.3

35.6 26.6

7.8

29.2 7.9 2.9 6.1

232.1 6.0

36.2 21.9 22.4 44.0 18.6 67.2 10.7 3.9

31.3 16.9 2.0 3.0

729.9 26.6

3.9

June 1995"

131.7 73.6 37.3 49.8

213.9 3.6

153.5 3.3 1.6 5.1 3.7 2.0 2.0

13.9 17.5

197.1 9.8 2.6

111.3 6.4

21.0 2.0

10.8 12.8 6.4

141.7 3.5

111.4 2.0 2.4

39.4 14.8

149.5 64.2 78.2 6.7

16.3

52.8 8.9

32.7

35.8 26.7

7.9

29.5 7.8 2.9 6.1

235.0 6.2

36.1 22.1 22.4 44.3 18.8 68.1 10.9 3.9

31.6 17.1 2.0 3.1

736.8 26.9

3.9

June 1994

681.0 355.8 145.7 259.0

976.5 18.2

663.8 20.7 12.1 37.2 26.3 15.5 13.8 71.3 59.8

1,085.9 56.5 17.1

569.9 44.2

120.6 13.3 48.7 50.7 42.5

639.9 28.5

425.9 30.2 18.7

230.1 53.8

673.4 233.6 369.8

42.5

94.1

204.1 32.7

112.5

329.1 240.1 63.3

147.4 28.3 19.0 26.9

1,060.2 85.5

172.3 128.7 50.1

148.2 117.8 275.0

66.3 11.3

177.8 94.7

9.3 20.7

2,478.0 128.6 29.4

Services

May 1995

684.3 356.6 146.4 260.3

1,001.4 17.0

679.6 21.3 12.4 38.3 26.9 15.9 13.2 72.7 62.3

1,120.6 57.3 18.2

597.8 49.1

125.7 13.9 49.8 51.4 45.0

659.2 29.5

439.2 30.0 19.8

217.2 51.8

685.6 241.0 374.2

43.1

97.0

210.4 33.2

121.1

343.8 253.6 65.0

144.4 27.0 20.1 26.8

1,074.0 83.0

177.5 130.8 51.6

154.0 118.2 275.3

67.9 11.8

186.7 99.5 10.0 20.6

2,530.2 128.8 29.4

June 1995?

691.3 357.9 145.8 264.6

1,005.0 18.4

682.8 21.1 12.4 38.9 27.2 16.0 13.8 71.9 62.2

1,117.7 57.5 17.8

601.3 49.7

123.6 13.9 49.7 51.6 45.0

663.2 29.7

441.6 31.0 18.9

217.9 51.6

689.2 244.1 377.5 43.0

99.4

211.5 33.3

123.1

346.6 254.2

66.3

146.3 26.3 21.1 27.1

1,090.5 86.9

178.8 132.4 51.9

153.7 120.9 277.0

66.1 11.9

189.5 100.5

10.0 21.5

2,543.0 129.1 29.7

June 1994

419.0 206.2

91.0 170.1

397.8 7.4

218.8 15.2 7.1

17.4 13.5 9.8 5.0

43.8 32.6

623.1 64.5

8.5 233.9

22.6 50.5 10.0 31.6 61.2 21.9

367.1 21.5

210.7 7.2

11.8

210.8 42.9

378.5 127.7 147.5

17.4

74.9

153.7 34.1 50.8

88.3 50.8 20.3

74.8 10.3 7.6

21.0

577.5 29.5 72.6 78.3 40.0 77.0 66.4

141.9 54.3 13.1

162.1 59.1 17.9 24.5

1,434.0 112.1 21.2

Governmen

May 1995

427.1 211.4 91.6

174.2

402.6 7.0

217.2 15.3 7.5

17.8 13.8 10.0 5.2

44.3 32.6

658.9 66.7

9.1 236.9 25.5 53.6 10.3 33.4 68.4 23.1

376.7 22.5

220.6 7.4

13.6

226.3 45.4

406.7 136.5 157.3 17.9

78.4

152.9 35.0 49.0

98.3 60.0 21.8

80.1 10.5 7.7

22.2

576.5 29.1 72.5 76.6 40.5 79.0 64.4

142.0 54.8 13.1

168.7 61.6 19.0 24.9

1,411.9 110.3 21.9

June 1995"

422.1 208.0

91.2 172.9

402.4 7.5

218.4 15.2 7.3

17.5 13.3 10.0 5.3

43.7 32.8

630.5 64.2

6.8 232.8 23.8 50.4 9.8

32.4 61.5 21.9

371.1 22.4

217.1 7.3

12.3

217.5 45.0

387.6 134.7 147.1 17.1

75.1

151.7 35.3 48.9

93.5 54.1 21.6

77.6 10.3 7.9

20.2

579.0 29.5 73.6 76.7 40.3 77.8 66.0

141.7 54.6 13.2

163.1 60.2 18.0 24.6

1,400.9 109.1 21.0





Mississippi Jackson


Montana








87



B-14. Employees on nonfarm payrolls in States and selected areas by major industry—Continued (In thousands)


539.7 102.9 41.3 52.0

1,095.2 3,825.5 3,324.0

117.9 524.9 100.6 333.0 128.6 381.8

3,391.8 101.5 687.9 596.3 540.5

297.4 45.6 86.3 46.0

5,131.8 302.3 172.1 793.7

1,091.5 761.4 456.5 102.5 76.1 78.1 51.2

306.2 237.4

1,282.9 23.8 37.3

463.5 341.3

1,375.5 127.8 61.8

805.1 121.7

5,238.4 259.3

58.1 125.4 331.9

85.8 201.2

2,184.6 688.3

1,051.5 157.3 269.3

45.0 60.0 52.8

157.1

Total

May 1995

536.1 104.3 41.6 50.1

1,082.7 3,813.0 3,316.5

117.6 518.2

99.6 333.2 127.5 378.1

3,438.8 99.8

703.3 602.4 551.1

304.3 47.6 90.5 48.0

5,200.1 312.1 175.9 796.8

1,102.4 764.4 461.6 106.9 77.0 79.9 51.5

314.6 240.7

1,308.4 24.6 38.8

474.0 350.4

1.416.6 129.8 63.2

832.3 122.4

5,237.5 262.1

58.4 125.9 333.7

86.5 203.2

2,176.6 686.6

1,045.3 156.9 268.6 45.1 62.9 52.0

160.2

June 1995P

538.3 104.7 41.7 53.0

1,095.3 3,824.7 3,323.8

119.1 520.6 100.0 335.0 128.9 381.8

3,452.7 100.9 703.9 603.9 553.7

303.5 47.3 89.6 47.0

5,211.5 305.5 177.0 800.9

1,109.8 769.5 460.4 105.1 77.8 79.9 51.8

313.7 241.9

1,312.2 24.6 39.0

474.2 353.5

1,433.6 131.0 63.7

841.4 124.1

5,249.8 262.6

59.0 126.4 334.0

86.7 203.0

2,181.1 681.9

1,050.6 157.8 270.0

44.8 60.9 52.1

160.9

June 1994

(1) O O 0 (1) (1) 0.3

(1) .9 O (1) (1) 0)

3.6

(1) (1) (1) (1)

3.9 0 (1) (1)

14.8 .4 .6 .6

1.0 .7 .7

(1) (1) (') .5

.2

.7

35.3 1.1 .1

7.8 9.4

1.7 .2 .1 .9 .2

21.3

(1) (1) 0) (1) (1) .4

(1) 0 4.1

(1) .6

(1) (1) (1) .6

Mining

May 1995

(1) 0 (1) V) (1) (1) 0.3

(1) .8

(1) (1) (1) (1)

3.7 O 0 (1) (1)

3.7

(1) (1) (1)

14.0 .4 .7 .7

1.1 .7 .7

0) (1) (1) .5

.2

.6

33.1 1.2 .1

7.3 8.3

1.6 .2 .1

1.0 .2

19.5

(1) (1) (1) (1) (1) .4

(1) (1) 3.8

(1) .6

(1) (1) (1) .5

June 1995P

(1) (1) (1) (1) O (1) 0.3

(1) .8

(1) O V) (')

3.7

(1) (1) (1) (1)

3.7 O 0) (1)

13.8 .4 .7 .7

1.0 .7 .7

(1) (1) O

.4

.2

.6

33.7 1.2 .1

7.3 8.3

1.8 .2 .1

1.0 .2

19.9 C) 0 O 0 (1) .4 V) V)

3.8

(1) .6 V) 0) V)

.5

Construction

June 1994

20.7 4.3 1.4 2.2

44.6 112.6 90.7

4.2 17.3 3.1

15.6 3.7

17.2

170.0 5.3

36.4 26.6 26.6

14.6 2.5 5.6 2.4

217.5 12.3 8.4

39.0 42.5 31.8 17.6 6.0 3.7 2.5 2.2

13.4 9.9

48.1 .9

1.5 17.6 13.9

62.4 5.7 2.7

40.1 6.0

215.0 10.5 2.6 4.5

13.9 5.4

11.7 82.7 11.9 51.6 66

10.4 1.5 2.5 2.4 7.9

May 1995

19.9 4.2 1.3 2.3

44.1 110.9 88.8 4.4

15.6 3.3

14.3 3.4

17.2

176.2 5.2

38.5 28.3 28.8

14.4 3.6 5.0 2.3

211.7 12.2 8.8

39.3 43.3 31.2 17.0 5.8 3.8 2.3 2.0

13.4 9.4

49.6 .8

1.7 18.8 14.3

67.0 5.8 2.7

42.7 6.0

204.0 10.1 2.4 4.8

13.1 4.8

11.6 79.5 11.5 47 7

6.1 9 1 1.5 2.5 2.C 8.3

June 1995P

20.9 4.5 1.5 2.5

45.3 113.2 90.6

4.7 16.9 3.4

15.4 3.7

17.5

177.7 5.3

38.5 28.5 29.2

15.8 2.8 5.8 2.8

220.5 12.5 9.2

40.3 45.1 32.5 17.7 6.2 4.0 2.4 2.1

14.0 10.1

51.1 .9

1.7 19.4 14.9

70.1 6.0 2.8

44.6 6.3

211.1 10.4 2.6 5.2

13.7 5.2

11.7 83.5 12.0 47.7 6.3

10.1 1.6 2.6 2.1 8.6

New York-Continued Buffalo-Niagara Falls Dutchess County Elmira Glens Falls Nassau-Suffolk New York PMSA New York City Newburgh Rochester Rockland County Syracuse Utica-Rome Westchester County

North Carolina Asheville Charlotte-Gastonia-Rock Hill Greensboro—Winston-Salem—High Point Raleigh-Durham-Chapel Hill

North Dakota Bismarck Fargo-Moorhead Grand Forks

Ohio Akron Canton-Massillon Cincinnati Cleveland-Lorain-Elyria Columbus Dayton-Springfield Hamilton-Middletown Lima Mansfield Steubenville-Weirton Toledo Youngstown-Warren

Oklahoma Enid Lawton Oklahoma City Tulsa

Oregon Eugene-Springfield Medford-Ashland Portland-Vancouver Salem

Pennsylvania Allentown-Bethlehem-Easton Altoona Erie Harrisburg-Lebanon-Carlisle Johnstown Lancaster Philadelphia PMSA Philadelphia City Pittsburgh Reading Scranton—Wilkes-Barre—Hazleton Sharon State College Williamsport York


88



NOT SEASONALLY ADJUSTED B-14. Employees on nonfarm payrolls in States and selected areas by major industry—Continued

(In thousands)

State and area

Manufacturing

June 1994

90.0 16.1 9.0 9.6

118.3 342.6 284.9

12.9 128.6

13.6 49.6 21.7 42.2

861.0 20.6

150.4 169.7 79.3

21.4 2.5 6.7 2.9

1,074.8 64.5 45.7

139.3 222.7 92.5 96.5 20.1 20.7 22.1 14.6 58.8 56.6

171.7 1.7 3.9

51.2 54.3

224.0 19.2 9.1

I 130.8 17.5

948.9 61.2 10.2 34.7 47.7 12.7 56.6

315.7 65.1

132.4 43.9 58.1 10.6 8.6

13.8 46.9

May 1995

89.3 16.1 9.0 8.9

113.0 338.7 282.3

12.6 125.2

12.8 48.9 20.3 41.9

861.4 20.2

151.7 171.0 81.0

21.5 2.5 6.9 3.3

1,096.3 65.0 47.3

141.2 227.3

92.4 100.4 20.6 20.2 23.0 14.9 59.6 56.8

174.1 1.9 4.0

53.1 54.8

222.4 19.3 9.3

133.0 15.5

942.2 59.8 10.3 34.6 46.9 13.2 56.4

310.4 63.3

132.5 43.2 57.8 10.6 8.8

13.3 48.2

June 1995P

89.7 16.4 8.9 8.9

113.4 340.7 284.5

12.7 125.8

12.7 49.3 20.6 41.8

863.2 20.3

152.2 171.3 81.2

21.6 2.6 6.9 3.1

1,099.7 64.8 47.6

141.6 227.8

93.0 100.5 20.6 20.4 22.9 14.9 60.4 57.1

175.0 1.9 4.2

53.5 55.3

229.4 19.4 9.4

135.6 16.9

948.3 60.5 10.3 34.8 47.3 13.0 57.1

311.6 63.4

134.1 44.0 58.3 10.7 8.8

13.5 48.3

Transportation and

June 1994

27.1 4.0 1.5 1.5

49.7 232.3 204.7

6.8 17.0 6.1

19.6 4.4

20.8

162.1 5.1

52.9 31.1 23.7

18.5 3.3 5.1 2.1

226.0 15.0 5.6

42.7 45.0 32.8 19.0 3.8 2.9 3.9 3.1

14.7 9.3

73.7 2.2 1.8

22.2 26.9

69.0 4.7 2.9

45.7 3.7

276.5 13.4 5.3 4.4

22.5 5.1 7.7

106.9 38.3 65.8

6.6 15.4

1.9 2.0 1.9 8.8

public utilities

May 1995

25.9 4.0 1.5 1.5

48.9 226.5 199.8

7.0 16.2 5.9

18.4 4.3

20.1

160.1 5.0

53.1 31.8 23.3

19.0 3.2 5.6 2.3

226.9 14.3 5.7

43.2 46.4 33.1 19.0 4.2 2.9 4.0 2.9

15.0 9.2

73.8 2.2 2.0

21.7 28.0

70.6 4.8 3.0

47.2 3.7

273.6 13.3 5.0 4.1

21.8 4.9 7.5

105.6 37.9 64.5

6.6 15.1 2.1 2.1 1.9 9.0

June 1995^

26.2 4.1 1.5 1.6

49.4 228.5 201.7

7.1 16.3 5.9

18.4 4.3

20.1

161.2 5.0

53.1 31.8 23.2

18.9 3.3 5.7 2.2

228.1 14.3 5.7

43.1 46.5 33.2 19.0 4.2 3.0 4.0 3.0

15.0 9.2

75.1 2.2 2.1

21.8 28.6

71.2 4.9 3.0

47.7 3.7

273.4 13.2 4.9 4.1

22.0 4.6 7.0

106.2 37.9 64.4

6.6 14.9 2.0 2.1 1.9 9.0


June 1994

133.1 20.7 10.3 11.8

282.0 655.7 544.7 30.4

111.6 22.2 77.4 26.4 84.5

768.6 24.0

164.2 132.9 111.7

77.9 11.5 25.4 12.9

1,238.4 74.1 42.1

204.8 253.9 198.8 107.8 27.9 17.6 18.2 10.6 76.0 61.1

302.6 6.6 8.8

111.8 80.1

343.5 31.9 17.7

202.4 26.6

1,175.9 53.3 15.3 28.2 72.0 20.4 49.8

480.6 114.6 254.6 36.7 66.3 11.5 11.7 12.3 38.5

May 1995

130.9 21.1 10.7 11.1

277.1 657.5 546.0 31.0

111.6 22.5 79.3 28.1 84.8

780.5 23.1

166.5 133.9 113.8

79.5 11.5 26.3 13.3

1,247.5 74.3 42.7

202.6 256.2 198.6 108.7 29.1 17.8 18.4 10.8 77.1 62.0

307.5 6.8 8.9

114.7 82.4

351.8 32.1 18.1

207.3 27.1

1,172.0 55.2 15.8 28.3 73.9 20.4 49.8

480.6 115.3 252.9 36.7 65.9 11.2 11.6 12.2 38.5

June 1995P

132.4 21.2 10.7 12.1

284.1 662.4 549.4 31.4

112.7 22.7 80.3 28.6 86.0

784.9 23.3

166.8 133.5 114.6

79.7 11.8 26.2 13.3

1,252.8 74.6 42.5

203.7 257.8 199.4 109.4 28.9 17.9 18.8 10.8 77.6 62.7

310.7 6.9 8.9

115.3 83.5

357.9 32.4 18.1

210.6 27.6

1,181.4 55.2 15.8 28.9 74.0 20.5 50.2

481.2 115.6 254.3

36.9 66.6 11.4 11.6 12.1 39.0









89




(In thousands)

State and area


June 1994

29.0 4.5 1.4 2.0

83.1 518.4 484.9

6.0 24.8

5.4 19.4 8.2

27.0

144.3 3.2

44.3 29.4 25.8

14.0 2.2 5.4 1.6

273.4 12.4

, 6.8 49.2 69.5 63.8 17.7 4.4 2.0 3.2

I 16 11.7 9.9

64.6 1.0 1.7

26.7 19.8

89.1 6.3 3.0

62.1 6.9

313.5 14.2

1.8 6.0

22.4 4.4 9.1

159.8 58.5 63.0

9.4 13.3

1.5 2.0 2.4 5.1

May 1995

28.5 4.4 1.3 1.9

82.0 507.2 474.8

5.2 23.1

5.2 19.4 8.3

26.1

147.0 3.2

45.2 29.4 26.4

14.1 2.2 5.6 1.7

271.9 11.9 6.5

49.1 69.5 62.8 17.2 4.2 1.9 3.1 1.6

11.5 9.4

64.8 1.1 1.7

26.0 19.7

89.9 6.6 3.0

63.3 7.1

312.0 14.5 1.9 5.5

22.7 4.3 9.2

154.8 57.0 63.8

9.1 14.0

1.5 1.9 2.4 5.2

June 1995"

28.7 4.5 1.4 2.0

82.8 510.7 477.8

5.3 23.6

5.4 19.6 8.3

26.4

149.1 3.2

45.8 29.6 26.7

14.3 2.2 5.7 1.7

274.1 12.0 6.5

49.6 70.2 63.1 17.2 4.2 2.0 3.1 1.7

11.6 9.5

65.6 1.1 1.7

26.5 19.8

90.6 6.7 3.0

63.8 7.1

315.8 14.5 1.9 5.6

22.7 4.3 9.5

156.5 57.1 64.6

9.2 14.1

1.5 2.0 2.4 5.2

June 1994

150.8 30.3 10.2 14.9

334.2 1,317.3 1,151.6

30.1 145.4 29.4 90.4 33.0

130.5

737.6 28.7

160.6 140.4 160.7

80.9 13.9 24.6 12.5

1,346.5 83.5 44.5

218.0 311.4 206.1 123.8 24.0 19.2 18.2 12.3 87.3 60.0

320.1 6.2 7.8

125.1 96.5

346.0 34.4 16.0

212.4 27.3

1,568.4 76.5 15.0 33.7 82.8 24.3 47.9

730.7 267.1 353.4

35.8 72.0 12.4 11.9 13.0 34.1

Services

May 1995

152.3 31.9 10.1 14.2

334.6 1,340.6 1,176.4

30.2 146.8 29.3 91.9 33.0

129.2

747.0 28.2

163.4 141.3 159.7

83.3 14.5 26.4 12.6

1,370.0 85.1 45.2

216.9 315.4 210.1 123.9 24.3 20.1 18.8 12.5 89.6 61.0

330.7 6.4 8.3

127.5 101.1

366.3 35.8 16.3

223.6 28.7

1,584.8 78.8 15.0 33.6 85.1 25.1 49.5

738.7 271.2 353.9 36.4 72.8 12.6 12.0 13.4 35.3

June 1995?

152.0 31.5 10.1 15.6

337.7 1,342.6 1,176.8

30.5 145.9 29.4 91.2 33.5

130.6

752.6 29.0

164.0 142.3 161.3

83.8 14.5 26.0 12.9

1,378.3 86.6 46.3

220.1 316.7 211.6 124.1 24.7 20.4 18.4 12.4 90.2 61.6

334.6 6.3 8.5

128.0 102.2

367.5 36.1 16.6

223.9 28.2

1,582.5 78.6 15.1 33.8 84.6 25.0 49.3

736.5 266.5 356.4

36.7 72.7 12.0 12.3 13.0 35.4

June 1994

89.0 22.9

7.4 9.9

183.2 646.7 562.2 27.4 79.2 20.8 61.0 31.3 59.6

544.6 14.6 79.1 66.2

112.7

66.2 9.7

13.5 11.6

740.4 40.1 18.4

100.1 145.5 134.9 73.4 16.3 10.0 10.0 6.3

44.1 29.9

266.8 4.1

11.7 101.1 40.4

239.8 25.4 10.3

110.7 33.5

718.9 30.2

7.9 13.9 70.6 13.5 18.0

308.2 132.8 126.6

18.3 33.2

5.6 21.3

7.0 15.2

Government

May 1995

89.3 22.5

7.6 10.2

183.0 631.5 548.0

27.2 78.9 20.4 60.9 30.2 58.9

562.9 14.9 84.9 66.7

118.1

68.8 10.1 14.7 12.5

761.8 48.9 19.0

103.8 143.2 135.5 74.7 18.7 10.3 10.3 6.3

48.2 32.3

274.8 4.2

12.1 104.9 41.8

247.0 25.2 10.7

114.2 34.1

729.4 30.4

8.0 15.0 70.2 13.8 18.8

307.0 129.9 126.2

18.8 33.3

5.6 24.0

6.8 15.2

June 1995P

88.4 22.5

7.6 10.4

182.5 626.6 542.7 27.5 78.5 20.4 60.8 29.9 59.3

560.3 14.8 83.5 66.9

117.5

65.7 10.1 13.3 11.0

744.2 40.3 18.5

101.8 144.7 136.0 71.8 16.3 10.1 10.3 6.5

44.7 31.1

266.4 4.1

11.8 102.4 40.9

245.1 25.3 10.7

114.2 34.1

717.4 30.2 8.4

14.0 69.7 14.1 17.8

305.6 129.4 125.3

18.1 32.7

5.6 21.5

7.1 14.9









90





(In thousands)


441.2 489.4

1,628.4 210.6 259.6 433.8

342.1 46.5 94.1

2,434.4 216.7 185.5 307.9 502.2 574.0

7,765.0 49.6 86.8

479.2 147.8 72.7 91.2 59.5

144.5 1,535.7

230.5 637.1

84.2 1,710.1

87.0 56.9 81.3

103.5 118.0 93.9 39.5

596.6 38.8 48.3 69.5 33.0 88.1 54.4

865.1 114.6 583.7

264.3 30.6 91.8

3,036.6 35.3 74.0 43.6 95.2

626.3 910.9 496.2 135.9

2,329.7 1,161.6

176.6 211.7

Total

May 1995

435.1 481.5

1,637.6 207.9 261.6 442.3

344.4 45.7 95.7

2,497.3 215.8 187.0 305.8 512.4 593.9

8,001.2 51.1 89.5

511.1 150.1 71.3 92.7 63.3

145.7 1,582.5

238.0 652.9

84.9 1,753.3

91.2 55.6 82.4

105.7 120.3 96.1 40.4

617.1 40.2 48.5 70.9 33.1 91.5 55.4

902.3 119.3 608.3

265.0 29.9 93.7

3,084.3 36.1 76.0 43.0 96.9

635.1 930.6 510.4 139.0

2,370.0 1,179.9

179.4 221.8

June 1995P

438.2 483.2

1,645.1 208.1 261.3 442.6

351.1 47.4 98.0

2,500.9 215.8 185.9 307.4 509.7 595.6

8,032.0 50.2 88.9

508.7 149.7 71.3 92.7 61.1

146.8 1,589.4

238.3 657.0

85.3 1,761.4

91.9 55.4 82.2

105.9 119.4 96.4 40.4

619.3 39.7 48.1 71.0 32.7 91.0 55.9

914.0 121.1 614.5

266.2 30.4 93.8

3,103.6 36.1 76.8 43.4 97.2

640.9 939.1 513.3 140.6

2,392.3 1,188.3

180.2 223.1

June 1994

0.2 .2

1.8 O (1) (1)

2.5

(1) O 4.8

(1) (1) .5

(1) (1) 163.3

1.2 .8 .9 .9

1.2

(1) .6 2.7

14.3

(1) 4.5 .6

67.1

(1) 2.8 3.4

.2 1.0

12.6 .6

1.8

(1) .1 1.3 1.3

(1) 1.4

8.4

(1) 3.1

.7

(1) (1)

12.4 (1) (1) (1) 0 (1) .6

.7 O

3.4 .7

0 .2

Mining

May 1995

0.2 .2

1.9

(1) (1) (1)

2.6 O (1)

4.9

(1) (1) .5 V) (1) 156.0

1.3 .8 .9 .8

1.1

(1) .5 2.6

13.5

(1) 4.3 .6

65.6

(1) 2.5 3.4

.2 1.0

12.7 .6

1.9 (1) .1

1.2 1.4

(1) 1.4

7.9

(1) 3.2

.7 0 (1)

10.9

(1) V) (1) (1) (1) .5

.7

(1) 3.4

.7 0

.2

June 1995^

0.2 .2

1.9

(1) (1) (1)

2.6

(1) 0 5.0

(1) (1) .5 0 (1) 156.0

1.3 .8 .9 .8

1.1

(1) .5 2.6

13.4

(1) 4.4 .6

66.4 0

2.5 3.5

.2 1.0

12.7 .6

1.9

(1) .1 1.2 1.3

(1) 1.4

8.2

(1) 3.2

.7

(1) (1)

10.9

(1) (1) O 0 (1) .5

.8 (1)

3.4 .7

O .2

June 1994

14.5 15.8

85.0 11.8 12.8 27.6

15.9 3.2 5.3

104.8 8.3 9.0

14.5 20.1 26.3

383.6 2.1 4.4

22.3 11.8 10.8 2.7 2.8

10.0 60.4

9.4 26.1 4.3

113.1 4.0 2.0 3.5 3.9 5.2 4.6 1.7

28.5 1.6 2.4 2.3 1.8 4.1 2.1

50.5 7.2

33.4

13.0 1.5 4.6

168.9 1.3 4.3 2.1 5.2

34.6 51.3 28.7 8.0

127.0 58.3 11.1 12.5

Construction

May 1995

12.7 13.1

84.1 11.9 12.6 28.6

14.4 3.0 5.3

108.7 8.6 9.2

14.8 20.3 28.6

402.3 2.1 4.5

25.4 12.4 8.9 2.7 2.5

10.1 63.5 10.1 26.8 4.5

119.6 4.7 2.0 3.7 4.0 5.5 4.9 1.8

30.9 1.6 2.1 2.3 1.8 4.5 2.1

54.6 7.9

36.6

11.4 1.4 4.7

173.0 1.3 4.3 2.1 5.6

36.1 52.2 30.4 7.8

124.5 59.9 10.5 11.5

June 1995P

13.5 14.0

84.3 12.1 12.7 29.1

16.1 3.3 5.7

111.7 8.6 9.4

15.0 20.6 29.2

410.7 2.1 4.6

26.2 12.4 9.0 2.7 2.6

10.4 65.3 10.5 27.6 4.6

120.3 4.7 2.0 3.6 3.9 5.5 4.9 1.8

31.4 1.6 2.2 2.2 2.0 4.6 2.2

58.1 8.5

37.8

12.4 1.5 5.0

177.1 1.3 4.5 2.1 5.8

36.6 53.1 30.8 8.1

128.5 62.7 10.9 12.0

Rhode Island Providence-Fall River-Warwick

South Carolina Charleston-North Charleston Columbia Greenville-Spartanburg-Anderson

South Dakota Rapid City Sioux Falls

Tennessee Chattanooga Johnson City-Kingsport-Bristol Knoxville Memphis Nashville

Texas Abilene Amarillo Austin-San Marcos Beaumont-Port Arthur Brazoria Brownsville-Harlingen-San Benito Bryan-College Station Corpus Christi Dallas El Paso Ft. Worth-Arlington Galveston-Texas City Houston Killeen-Temple Laredo Longview-Marshall Lubbock McAllen-Edinburg-Mission Odessa-Midland San Angelo San Antonio Sherman-Denison Texarkana Tyler Victoria Waco Wichita Falls

Utah Provo-Orem Salt Lake City-Ogden

Vermont Barre-Montpelier Burlington

Virginia Bristol Charlottesville Danville Lynchburg Norfolk-Virginia Beach-Newport News Northern Virginia Richmond-Petersburg Roanoke

Washington Seattle-Bellevue-Everett Spokane Tacoma


91




(In thousands)

State and area

Manufacturing

June 1994

May 1995

June


June 1994

May 1995

June 1995P


June 1994

May 1995

Rhode Island Providence-Fall River-Warwick .

South Carolina Charleston-North Charleston Columbia Greenville-Spartanburg-Anderson .

South Dakota . Rapid City Sioux Falls ....

Tennessee Chattanooga Johnson City-Kingsport-Bristol. Knoxville Memphis Nashville

Texas Abilene Amarillo Austin-San Marcos Beaumont-Port Arthur Brazoria Brownsville-Harlingen-San Benito . Bryan-College Station Corpus Christi Dallas El Paso Ft. Worth-Arlington Galveston-Texas City Houston Killeen-Temple , Laredo Longview-Marshall Lubbock McAllen-Edinburg-Mission Odessa-Midland San Angelo San Antonio Sherman-Denison Texarkana Tyler Victoria Waco Wichita Falls

Utah Provo-Orem Salt Lake City-Ogden.

Vermont Barre-Montpelier. Burlington

Virginia Bristol Charlottesville Danville Lynchburg Norfolk-Virginia Beach-Newport News . Northern Virginia Richmond-Petersburg Roanoke

Washington Seattle-Bellevue-Everett . Spokane Tacoma

88.0 109.9

378.4 19.5 26.9

127.0

43.8 4.4

12.1

543.8 46.0 53.5 50.8 65.8 99.2

1,012.1 3.6 9.3

62.5 24.6 16.9 13.4 3.9

13.9 228.0

46.7 103.0

8.1 183.7

9.6 1.6

17.3 7.8

12.9 6.5 5.4

49.2 10.0 5.6

12.3 3.2

16.5 7.6

116.3 15.7 73.2

44.0 3.6

16.1

405.6 10.0 7.8

15.5 26.3 66.9 40.2 60.4 19.4

338.6 194.1

21.3 22.0

84.4 107.3

372.8 19.5 26.8

124.6

46.1 4.5

12.3

538.6 44.7 53.3 51.4 65.2

100.6

1,023.3 3.3 9.6

66.2 24.5 16.5 13.7 3.9

13.8 229.0 48.3

106.0 8.0

186.1 9.9 1.5

17.5 8.0

13.4 6.3 5.3

49.8 10.3 5.6

12.9 3.1

16.9 7.9

121.2 17.1 76.3

44.7 3.5

16.4

401.5 10.7 8.1

14.8 26.4 67.5 39.8 61.8 19.6

339.9 190.7

21.9 22.9

84.8 107.7

373.2 19.5 26.6

124.6

46.9 4.2

12.6

537.9 44.6 53.3 51.8 64.5

100.6

1,028.0 3.3 9.5

66.7 24.7 16.6 13.7 4.0

14.0 230.0 48.5

106.4 7.9

187.7 10.0

1.4 17.2 8.0

13.0 6.4 5.3

50.1 10.3 5.6

12.9 3.1

17.0 7.9

122.5 17.3 77.2

45.0 3.7

16.3

404.8 10.7 8.0

15.0 26.4 67.9 40.2 62.3 19.8

341.3 189.2 22.1 23.0

15.2 17.3

70.8 11.4 11.9 17.8

15.7 2.0 5.9

136.4 8.0 7.2

12.3 51.5 33.6

458.8 2.5 5.7

14.7 9.1 2.7 4.0 1.4 6.6

95.9 12.1 59.2

5.0 116.9

2.7 9.3 3.9 5.5 4.1 4.2 2.6

27.9 1.8 2.1 3.3 1.5 3.5 2.7

49.5 2.2

38.7

11.6 .9

4.3

151.5 1.2 2.3 1.2 3.5

30.0 53.3 25.2 8.7

116.9 69.9

8.6 9.7

14.4 16.5

71.3 11.3 12.0 18.6

16.1 2.1 6.0

136.9 7.8 6.9

12.2 52.3 34.1

471.5 2.4 5.7

15.4 8.8 2.6 3.9 1.3 6.8

101.9 12.5 59.9

5.1 119.7

2.8 8.7 3.9 5.4 4.2 4.2 2.4

29.1 1.7 2.2 3.2 1.5 3.7 2.7

51.2 2.2

39.4

11.6 .9

4.3

157.7 1.2 2.3 1.3 3.5

30.6 53.3 25.9

9.1

118.3 70.3 8.4 9.9

14.7 16.9

72.0 11.5 12.1 18.7

16.1 2.1 6.0

138.2 7.8 6.9

12.2 52.4 34.1

475.5 2.4 5.6

15.5 8.8 2.7 4.0 1.3 7.0

102.6 12.6 60.2

5.0 120.4

2.9 8.7 3.9 5.4 4.2 4.2 2.5

29.5 1.7 2.2 3.2 1.5 3.6 2.7

51.8 2.1

39.7

11.8 1.0 4.4

158.9 1.2 2.3 1.4 3.6

30.8 53.6 25.9

9.1

120.1 71.4

8.5 9.8

96.8 110.3

373.7 52.6 57.7

102.1

86.4 14.0 25.2

565.6 52.3 41.5 78.3

130.8 138.9

1,879.0 13.2 24.0

100.7 34.4 14.1 24.1 13.4 34.7

387.9 56.4

162.6 18.1

400.2 19.8 17.1 20.3 29.4 35.2 24.6

9.5 148.0

9.0 12.2 17.5 9.3

19.9 12.8

206.1 25.9

140.9

63.4 6.6

22.0

680.4 9.0

14.7 8.9

21.1 147.5 203.8 115.7 34.8

569.9 278.7 44.8 53.7

96.5 105.7

376.7 52.4 58.3

104.9

87.6 13.8 25.6

587.9 52.8 41.9 77.4

133.0 145.3

1,941.9 13.6 25.0

107.1 34.8 13.7 23.7 13.6 34.7

402.3 57.0

168.0 18.5

414.6 21.6 16.0 20.5 30.5 35.2 25.7

9.8 150.6

9.3 12.5 17.6 9.1

20.8 13.0

214.3 26.8

147.4

63.6 6.6

21.8

698.5 9.2

15.4 8.7

21.3 150.9 210.2 122.2

36.6

582.8 283.3 45.5 56.5


92




B-14. Employees on nonfarm payrolls In States and selected areas by major industry—Continued

(In thousands)

State and area


June 1994

26.0 28.1

69.9 8.6

19.5 15.0

18.3 1.7 9.0

109.4 13.9 5.6

11.6 26.7 33.2

443.3 1.9 4.5

27.9 4.6 1.9 3.6 2.6 6.5

131.8 8.5

30.0 5.5

99.8 3.6 2.1 2.9 4.6 4.2 3.6 1.7

41.9 2.0 1.9 3.3 1.6 5.4 2.2

46.0 3.4

37.8

12.3 2.6 4.6

166.8 1.2 4.1 1.4 4.3

28.8 56.9 42.9

8.8

126.2 76.8 10.4 8.3

May 1995

25.3 27.8

69.5 8.5

19.0 15.4

19.1 1.7 9.4

110.5 14.2 5.5

11.8 26.5 34.0

445.6 1.9 4.5

29.3 4.7 1.9 3.6 2.6 6.4

131.5 8.8

30.2 5.3

99.4 3.9 2.1 2.9 4.7 4.3 3.6 1.6

42.6 2.0 1.8 3.4 1.7 5.5 2.2

47.5 3.3

38.1

12.3 2.6 4.5

167.7 1.2 4.0 1.4 4.5

29.1 56.0 45.1 8.9

122.7 73.7 10.3 11.9

June 1995*

25.3 27.9

70.1 8.6

19.1 15.5

19.4 1.8 9.6

111.4 14.3 5.6

11.8 26.5 34.3

447.6 1.9 4.6

29.6 4.7 1.9 3.7 2.6 6.5

131.7 8.9

30.3 5.4

99.5 3.9 2.2 3.0 4.8 4.3 3.6 1.7

43.1 2.0 1.9 3.5 1.7 5.5 2.1

47.8 3.3

38.4

12.4 2.7 4.5

169.2 1.2 4.2 1.4 4.6

29.5 56.4 45.5 8.8

123.8 74.7 10.4 12.3

June 1994

138.5 143.5

352.2 53.1 59.3 89.5

89.7 13.7 26.5

610.7 53.1 39.4 83.6

135.6 169.4

2,027.8 15.8 21.5

128.6 39.0 12.2 23.1 12.6 39.2

431.8 48.5

166.1 17.6

494.1 22.0

9.7 18.8 29.0 22.9 20.7 10.5

173.1 9.4

13.1 18.8 8.2

23.9 14.5

224.7 43.9

150.0

74.3 7.9

26.1

842.6 6.8

18.0 8.3

22.4 177.1 324.9 121.0 38.6

600.9 310.9

50.1 57.7

Services

May 1995

139.2 146.5

357.3 53.3 60.8 94.1

89.2 12.9 27.5

633.8 53.5 40.3 80.4

137.5 174.7

2,095.4 16.9 21.2

135.5 39.0 12.8 23.0 12.9 40.0

448.3 50.6

170.4 17.2

505.4 22.5

9.8 18.8 29.1 23.6 21.1 10.4

181.1 10.0 12.9 19.5 8.4

25.0 14.7

236.4 44.5

158.7

74.1 7.7

26.8

870.6 6.9

19.4 8.7

23.6 183.2 339.8 124.8 39.8

624.3 325.0

51.6 59.7

June 1995"

139.1 146.1

361.3 53.6 61.2 94.3

91.7 13.8 27.9

635.3 53.5 39.7 80.6

138.4 175.4

2,129.9 16.4 21.8

136.2 39.0 12.7 23.1 12.6 40.4

452.8 51.0

172.6 17.7

509.7 22.8

9.8 18.9 29.2 23.8 21.3 10.5

182.5 9.6

12.8 19.6 8.4

24.9 14.7

241.3 45.5

160.9

75.1 7.8

27.2

883.2 6.9

19.7 8.8

23.3 187.3 346.0 126.5 40.5

628.0 327.1

50.9 59.7

June 1994

62.0 64.3

296.6 53.6 71.5 54.8

69.8 7.5

10.1

358.9 35.1 29.3 56.3 71.7 73.4

1,397.1 9.3

16.6 121.6 23.4 12.9 20.3 22.2 30.9

185.6 48.9 85.6 25.0

235.2 25.3 12.3 11.2 23.1 32.5 17.1 7.5

126.2 5.0

10.9 10.7 6.1

14.8 11.1

163.6 16.3

106.6

45.0 7.5

14.1

608.4 5.8

22.8 6.2

12.4 141.4 179.9 101.6

17.6

446.8 172.2 30.3 47.6

Governmenl

May 1995

62.4 64.4

304.0 51.0 72.1 56.1

69.3 7.7 9.6

376.0 34.2 29.9 57.3 77.6 76.6

1,465.2 9.6

18.2 131.3 25.1 13.8 22.1 26.0 31.3

192.5 50.7 87.3 25.7

242.9 25.8 13.0 11.7 23.8 33.1 17.6 8.5

131.1 5.3

11.3 10.8 6.1

15.1 11.4

169.2 17.5

108.6

46.6 7.2

15.2

604.4 5.6

22.5 6.0

12.0 137.7 178.8 99.5 17.2

454.1 176.3 31.2 49.2

June 1995^

62.2 63.8

300.2 49.9 70.9 55.0

68.8 7.5

10.0

367.0 33.9 29.2 56.9 73.5 74.4

1,430.0 9.2

16.9 125.5 24.2 13.4 21.7 23.9 30.9

188.3 49.4 86.1 25.4

239.4 25.7 12.8 11.4 23.5 32.8 17.3 8.1

128.4 5.1

10.8 10.7 5.7

14.7 11.9

166.6 17.0

108.1

44.4 7.1

14.3

595.2 5.6

22.5 6.0

12.0 137.0 175.8 98.4 17.4

454.8 177.6 31.3 49.5





Texas Abilene Amarillo Austin-San Marcos Beaumont-Port Arthur Brazoria Brownsville-Harlingen-San Benito Bryan-College Station Corpus Christi Dallas El Paso Ft. Worth-Arlington Galveston-Texas City Houston Killeen-Temple Laredo Longview-Marshall Lubbock McAllen-Edinburg-Mission Odessa-Midland San Angelo San Antonio Sherman-Denison Texarkana Tyler Victoria Waco Wichita Falls

Utah Provo-Orem Salt Lake City-Ogden

Vermont Barre-Montpelier Burlington

Virginia Bristol Charlottesville Danville Lynchburg Norfolk-Virginia Beach-Newport News Northern Virginia Richmond-Petersburg Roanoke

Washington Seattle-Bellevue-Everett Spokane Tacoma


93


ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT NOT SEASONALLY ADJUSTED B-14. Employees on nonfarm payrolls in States and selected areas by major industry—Continued (In thousands)

State and area

Total

June 1994

May 1995

June 1995P

Mining

June 1994

May 1995

June 1995P

Construction

June 1994

West Virginia Charleston Huntington-Ashland Parkersburg-Marietta Wheeling

Wisconsin Appleton-Oshkosh-Neenah Eau Claire Green Bay Janesville-Beloit Kenosha La Crosse Madison Milwaukee-Waukesha Racine Sheboygan Wausau

Wyoming Casper

Puerto Rico Caguas Mayaguez Ponce San Juan-Bayamon

Virgin Islands


677.5 124.0 116.9 66.3 62.2

2,514.6 181.9 63.4

122.1 65.1 46.4 65.1

248.3 795.5

78.9 57.5 58.8

227.3 29.3

882.6 57.4 66.2 69.5

553.1

44.0

693.1 124.5 117.1 65.9 62.8

2,547.1 183.2 65.1

124.3 66.9 47.4 65.9

254.7 804.5

77.8 56.9 59.0

221.1 29.4

898.2 58.2 67.2 70.6 55.9

42.3

691.9 125.5 116.6 66.5 62.9

2,575.4 186.2 64.0

126.1 67.4 47.3 66.0

255.1 814.4

78.6 58.5 59.1

229.6 29.7

892.8 57.8 66.8 70.6

559.5

42.4

27.9 1.8 1.7 .4

1.5

2.8

18.0 2.0

V) (1) V)

(1)

27.0 1.6 1.6

.4 1.4

2.8

17.3 1.9

1.0 (1) 0 (1)

O

27.1 1.7 1.7

■3 1.4

3.0

17.9 1.9

1.0 (1) (1) (1)

(1)

36.9 7.2 7.1 4.0 2.4

106.8 10.3

2.7 6.6 2.8 2.0 2.8

11.5 31.0

3.0 2.3 2.5

15.51 1.7

45.7 1.5 3.2 4.01

33.3

1.8

94




B-14. Employees on nonfarm payrolls In States and selected areas by major industry—Continued

(In thousands)

State and area

Manufacturing

June 1994

May 1995

June 1995?


June 1994

May 1995

June 1995?


June 1994

May 1995

June 1995P



Wyoming Casper


Virgin Islands


82.1 10.2 18.2 12.9 6.6

589.6 59.4 10.7 26.8 19.0 10.3 12.1 28.6

172.4 24.7 24.2 16.7

10.0 1.6

149.7 14.8 19.0 11.5 68.1

2.9

82.9 9.8

18.1 13.1 6.4

592.5 58.5 10.1 26.2 19.7 10.4 12.2 29.2

177.9 24.9 24.7 16.2

10.1 1.7

153.8 14.8 19.2 11.5 71.0

2.5

83.6 9.9

18.2 13.6 6.3

601.1 60.1 10.2 27.0 20.0 10.5 12.3 29.8

178.5 24.9 25.3 16.3

10.2 1.8

153.3 14.6 19.1 11.6 70.5

2.5

40.2 9.3 6.9 2.8 3.5

1'16.4 6.9 3.5 8.6 2.5 1.9 3.0 7.9

38.1 2.7 2.0 3.5

14.2 1.6

23.6 .6 .7

2.2 18.4

2.6

41.1 9.3 7.1 2.6 3.7

119.5 6.9 3.3 8.2 2.6 1.9 2.8 7.7

39.2 2.4 2.0 3.4

13.9 1.6

23.0 .6 .7

2.0 17.8

2.3

41.2 9.4 7.1 2.7 3.6

118.6 6.9 3.3 8.3 2.6 I 2.0 3.0 7.6

38.9 2.6 1.9 3.4

14.2 1.6

23.5 .6 .7

2.2 18.1

2.3

155.0 31.0 29.4 16.7 15.4

576.4 37.3 17.3 28.8 15.1 13.1 17.3 54.8

173.7 16.9 10.1 13.8

52.4 8.2

174.9 12.7 10.5 12.8

115.5

10.3

159.5 31.1 30.2 16.4 15.7

584.0 38.6 17.6 29.9 15.4 12.9 17.8 56.4

173.1 16.8 9.8

14.3

50.8 8.1

175.4 13.3 10.5 12.4

115.6

10.3

160.1 31.3 30.3 16.6 15.8

592.4 39.1 17.3 30.0 15.6 13.2 17.8 56.9

175.1 17.0 9.9

14.5

53.2 8.2

173.2 13.1 10.5 12.2

114.2

10.2

95


ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT NOT SEASONALLY ADJUSTED B-14. Employees on nonfarm payrolls in States and selected areas by major industry—Continued

(In thousands)

State and area


June 1994

May 1995

June 1995P

Services

June 1994

May 1995

June 1995^

Government

June 1994

May 1995



Wyoming Casper


Virgin Islands

26.0 6.7 3.9 2.4 3.0

135.2 9.1 2.2 7.9 1.9 1.6 2.5

21.1 55.5 2.3 2.2 4.4

8.1 1.1

41.1 1.5 1.6 2.0

32.9

2.2

26.5 6.7 3.9 2.5 3.0

136.8 9.3 2.2 8.9 2.0 1.6 2.9

20.6 57.9 2.1 2.1 4.5

7.9 1.1

40.9 1.6 1.5 2.0

33.4

1.9

26.5 6.7 3.9 2.5 3.0

137.9 9.5 2.2 9.1 2.0 1.6 2.9

21.0 58.3 2.1 2.2 4.6

8.1 1.1

41.2 1.5 1.5 2.0

33.5

1.9

175.3 35.3 29.7 16.5 19.7

622.4 39.2 16.1 30.2 15.7 10.5 18.3 58.2

234.0 19.8 10.6 11.2

50.2 7.5

155.3 10.2 11.0 13.2

106.0

10.3

180.6 35.9 30.0 16.2 20.6

633.9 40.0 16.9 31.3 15.9 11.3 18.0 58.5

235.2 19.4 10.0 11.2

45.8 7.6

162.0 10.1 11.2 14.2

110.4

10.4

180.3 36.1 29.9 16.5 20.3

646.4 40.5 17.0 31.3 15.9 10.9 18.0 58.9

238.5 19.6 10.5 11.4

51.0 7.7

159.8 10.1 10.9 14.3

109.1

10.2

134.1 22.5 20.0 10.6 10.1

364.9 19.7 10.9 13.3 8.0 7.0 9.1

66.2 90.8

9.5 6.1 6.8

58.9 5.6

291.4 16.1 20.2 23.8

178.4

13.9

138.3 22.6 20.9 10.9 10.0

372.9 20.3 12.2 13.1 8.4 7.3 9.3

70.0 90.1

9.4 6.0 7.0

60.6 5.8

294.5 16.2 20.4 24.3

181.1

13.3

Combined with construction. Not available. = preliminary.

NOTE: Area definitions are published annually in the May issue of this publication. All State and area data have been adjusted to March 1994 benchmarks.

96


ESTABLISHMENT DATA HOURS AND EARNINGS NOT SEASONALLY ADJUSTED

B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed industry

Industry 1987 SIC

Code

Average weekly hours

June 1994

July 1994

May 1995

June 1995p

July 1995p

Average overtime hours

June 1994

July 1994

May 1995

June 1995p

Total private

Goods-producing

Mining




Nonmetallic minerals, except fuels

Crushed and broken stone

Construction






Sawmills and planing mills, general Hardwood dimension and flooring mills ...








10 101 102

12 122

13 131 138

14 142

15 152 153 154

16 161 162

17 171 172 173 174 175 176

24 241 242 2421 2426 243 2431 2434 2435 2436 244 245 2451 249

25 251 2511 2512 2514 2515 252 253 254 259

34.8

41.6

44.9

43.6 44.3 46.0

45.0 45.0

44.0 42.0 45.2

48.0 49.3

39.7

38.5 37.9 39.0 39.1

43.7 45.8 42.7

39.0 40.2 37.5 39.9 36.5 36.1 35.8

42.2 43.0 41.6 40.8 43.0 43.7 40.7 41.3 40.5 41.3 41.8 42.8 40.2 41.7 42.1 40.9

40.7 39.5 39.6 38.5 41.8 40.0 42.3 44.2 42.2 41.4

35.0

41.2

44.9

44.1 45.1 45.9

42.7 42.6

44.7 42.2 46.3

48.2 49.3

39.8

38.6 37.9 38.4 39.3

43.7 46.1 42.4

39.2 40.5 37.6 40.1 36.7 36.2 36.4

41.6 42.2 41.0 40.2 41.8 42.5 39.2 40.9 40.2 41.3 40.4 41.1 39.3 42.2 42.5 40.0

40.2 38.8 39.5 37.5 39.1 39.2 41.8 42.4 43.4 40.0

34.3

40.8

44.3

42.7 43.2 44.5

44.5 44.4

43.6 40.9 45.2

46.6 48.1

38.4

38.0 36.6 39.3 39.3

41.8 41.5 41.9

37.7 39.2 36.1 39.5 35.4 35.6 33.1

41.4 42.2 40.6 40.6 41.4 41.9 39.3 40.7 39.7 40.2 41.4 43.8 38.8 40.4 40.5 39.7

38.7 37.2 37.8 35.6 38.9 38.0 40.7 41.2 41.3 39.1

34.6

41.2

44.9

43.5 42.1 46.1

44.7 44.9

44.1 41.7 45.6

47.8 49.2

39.6

38.6 37.0 38.7 40.0

43.8 45.5 43.0

38.8 40.0 36.8 40.1 36.1 36.3 36.1

41.6 42.4 40.8 41.7 41.7 42.2 39.9 40.3 39.9 39.4 40.8 43.1 38.7 41.0 41.3 40.2

39.4 38.0 38.9 36.5 37.7 38.7 41.1 42.4 41.6 39.3

34.9

40.7

44.5

40.0

40.8 41.3 39.9

38.6

4.7 5.1 4.7 6.2 5.2 5.7 3.6 4.4 3.4 4.9 4.1 5.6 3.8 4.7 4.7 3.4

3.5 2.7 2.6 2.0 4.5 3.4 4.0 5.7 5.1 3.5

4.5 4.7 4.7 6.5 5.0 5.5 3.5 4.4 3.2 4.9 4.1 5.8 3.5 4.9 5.0 3.5

3.5 2.5 2.4 1.7 3.5 3.9 4.2 5.0 6.0 3.1

4.2 4.6 4.0 5.7 4.6 5.0 2.9 3.7 2.6 3.6 4.4 5.6 3.1 3.5 3.5 3.0

2.4 1.8 1.9 1.3 2.3 2.4 3.1 3.5 3.8 2.5

98


ESTABLISHMENT DATA HOURS AND EARNINGS


B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed industry—Continued

Industry 1987 SIC

Code


June 1994

July 1994

May 1995

June 1995p

July 1995p


June 1994

July 1994

May 1995

June 1995p

Total private

Goods-producing

Mining




Nonmetallic minerals, except fuels

Crushed and broken stone

Construction






Sawmills and planing mills, general Hardwood dimension and flooring mills ..,







10 101 102

12 122

13 131 138

14 142

15 152 153 154

16 161 162

17 171 172 173 174 175 176

24 241 242 2421 2426 243 2431 2434 2435 2436 244 245 2451 249

25 251 2511 2512 2514 2515 252 253 254 259

$11.03

12.68

14.74

15.85 17.13 14.08

17.66 17.88

13.95 17.78 11.77

13.08 12.58

14.59

13.72 12.58 13.37 14.84

14.40 14.50 14.35

14.95 15.22 14.01 16.25 14.96 14.90 13.06

12.03 12.63 9.84

11.43 10.05 10.39 8.67 9.88

10.14 9.31 8.60

11.81 7.33 9.81 9.86 9.20

9.48 8.96 8.42 9.77 8.65 9.44

10.22 9.66

10.70 9.66

$11.05

12.75

14.73

16.02 17.37 14.33

17.54 17.73

13.99 18.06 11.75

13.19 12.61

14.75

13.83 12.59 13.36 15.03

14.56 14.86 14.40

15.11 15.38 13.91 16.46 15.15 14.93 13.36

12.04 12.62 9.87

11.54 10.12 10.44 8.76 9.86 9.98 9.40 8.64

11.86 7.39 9.70 9.72 9.28

9.54 8.99 8.48 9.68 8.92 9.67

10.37 9.46

10.79 9.73

$11.38

12.96

15.21

16.63 18.20 14.72

18.31 18.54

14.45 18.76 12.02

13.33 12.65

14.96

14.18 13.13 13.88 15.13

14.55 14.65 14.50

15.35 15.68 14.10 16.61 15.28 14.84 13.12

12.28 12.83 10.01 11.53 10.21 10.57 8.80

10.05 10.27 9.43 8.74

11.97 7.66

10.10 10.21 9.45

9.71 9.19 8.72 9.95 8.73 9.62

10.32 9.97

10.84 9.91

$11.36

13.01

15.24

16.45 17.82 14.69

18.36 18.61

14.51 18.77 12.09

13.43 12.86

14.99

14.08 12.96 13.82 15.08

14.75 15.02 14.61

15.37 15.64 13.90 16.73 15.31 14.92 13.32

12.30 12.85 10.10 11.84 10.24 10.58 8.91

10.11 10.29 9.49 8.86

12.16 7.68

10.15 10.26 9.48

9.79 9.29 8.78

10.04 9.02 9.78

10.42 10.031 10.86 9.93

$11.41

13.14

15.30

15.09

12.40 12.92 10.20

9.88

$383.84

527.49

661.83

691.06 758.86 647.68

794.70 804.60

613.80 746.76 532.00

627.84 620.19

579.22

528.22 476.78 521.43 580.24

629.28 664.10 612.75

583.05 611.84 525.38 648.38 546.04 537.89 467.55

507.67 543.09 409.34 466.34 432.15 454.04 352.87 408.04 410.67 384.50 359.48 505.47 294.67 409.08 415.11 376.28

385.84 353.92 333.43 376.15 361.57 377.60 432.31 426.97) 451.54 399.92

$386.75

525.30

661.38

706.48 783.39 657.75

748.96 755.30

625.35 762.13 544.03

635.76 621.67

587.05

533.84 477.16 513.02 590.68

636.27 685.05 610.56

592.31 622.89 523.02 660.05 556.01 540.47 486.30

500.86 532.56 404.67 463.91 423.02 443.70 343.39 403.27 401.20 388.22 349.061 487.45 290.43 409.34 413.10 371.20

383.51 348.81 334.96 363.00 348.77 379.06 433.47 401.10 468.29 389.20

$390.33

528.77

673.80

710.10 786.24 655.04

814.80 823.18

630.02 767.28 543.30

621.18 608.47

574.46

538.84 480.56! 545.48 594.61

608.19 607.98 607.55

578.70 614.66 509.01 656.10 540.91 528.30 434.27

508.39 541.43 406.41 468.12 422.69 442.88 345.84 409.04 407.72 379.09 361.84 524.29 297.21 408.04 413.51 375.17

375.78 341.87 329.62 354.22 339.60 365.56 420.02 410.76 447.69 387.48)

$393.06

536.01

684.28

715.58 750.22 677.21

820.69 835.59

639.89 782.71 551.30

641.95 632.71

593.60

543.49 479.52 534.83 603.20

646.05 683.41 628.23

596.36 625.60 511.52 670.87 552.69 541.60 480.85

511.68 544.84 412.08 493.73 427.01 446.48 355.51 407.43 410.57 373.91 361.49 524.10 297.22 416.15 423.74 381.10

385.73 353.02 341.54 366.46 340.05 378.49 428.26 425.27 451.78 390.25


99




Industry 1987 SIC

Code


June 1994

July 1994

May 1995

June 1995p

July 1995p


June 1994

July 1994

May 1995

June 1995p

Durable goods—Continued Stone, clay, and glass products

Flat glass Glass and glassware, pressed or blown




Misc. nonmetallic mineral products Abrasive products Asbestos products
















Misc. fabricated metal products Valves and pipe fittings, nee Misc. fabricated wire products


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 3365

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

44.2 48.5 42.8 43.5 42.2 43.8 42.8 41.9 40.7 46.3 47.6 44.6 47.1 43.1 43.5 41.3

44.7 44.8 45.0 44.4 46.0 46.6 46.7 44.9 43.1 42.4 45.0 43.5 45.7 44.8 43.4 43.1

42.9 45.0 44.6 42.8 42.3 43.0 41.9 41.7 42.0 42.2 42.6 41.7 42.6 41.6 41.1 43.2 43.2 43.1 44.6 42.9 46.3 42.7 41.9 41.6 42.4 41.9 40.4 42.8 43.4 42.5

43.8 46.8 43.1 44.1 42.2 41.1 42.5 41.8 40.6 46.2 47.4 45.2 46.5 42.9 42.4 42.2

44.4 45.3 45.7 43.6 44.7 45.4 44.7 42.5 43.1 42.2 44.6 46.4 46.3 43.0 42.4 41.6

42.0 44.5 44.1 41.6 42.1 40.9 41.3 41.6 40.8 42.2 43.0 41.0 42.5 41.9 41.9 42.0 42.0 42.1 42.4 42.6 42.6 42.1 41.0 40.6 41.7 40.9 39.9 42.0 42.9 41.4

43.0 46.7 43.2 44.1 42.5 41.7 43.1 41.8 41.2 44.1 45.9 43.5 43.8 42.2 42.1 39.5

43.9 44.1 44.2 43.5 44.8 45.1 47.1 44.2 43.0 43.1 44.4 43.3 46.9 43.8 42.0 42.2

42.1 42.6 42.7 41.5 41.1 41.6 39.8 38.6 40.0 41.5 42.7 40.1 42.6 40.7 41.1 43.3 42.7 44.1 44.0 43.5 45.4 41.9 40.8 40.4 41.4 41.9 41.6 41.9 43.0 40.7

43.5 45.1 43.4 44.2 42.7 41.1 43.1 42.2 40.4 45.7 47.0 43.8 46.4 42.4 42.1 41.4

44.0 44.0 44.2 44.0 45.3 46.1 46.3 43.8 42.4 42.2 44.8 45.6 46.8 44.2 41.8 42.1

42.4 42.9 42.7 42.2 42.0 42.2 41.5 39.4 42.5 42.2 43.2 40.9 43.4 41.2 41.4 43.2 42.4 44.1 43.6 42.6 44.8 42.0 41.0 40.7 41.5 41.9 41.8 42.0 42.0 40.9

43.3

42.6 43.1

41.1

6.2 9.9 4.6 5.8 3.6 4.4 3.9 4.7 4.0 8.6 9.1 6.9 9.7 5.1 4.6 4.3

6.6 6.5 6.7 5.5 7.8 8.8 8.7 6.0 5.2 4.9 7.1 7.0 7.2 6.8 5.4 5.7

5.1 6.9 6.5 4.6 4.3 4.7 4.2 4.3 4.0 4.9 5.6 4.2 4.9 4.4 4.3 5.6 5.3 5.9 6.3 5.7 7.6 4.6 4.7 4.2 5.6 4.3 2.9 4.6 4.7 4.1

6.1 7.2 4.5 5.7 3.5 3.3 4.1 4.8 4.2 8.7 8.7 7.3 9.5 5.1 4.0 5.1

6.5 6.8 7.0 5.6 7.2 8.3 6.7 5.5 5.1 5.0 7.2 9.2 7.3 6.2 4.7 4.5

4.7 7.2 6.9 3.9 3.9 3.9 4.3 4.4 3.2 5.0 5.8 4.2 5.0 4.7 4.7 5.0 4.7 5.3 4.9 5.7 4.7 4.5 4.3 3.8 5.0 4.2 3.1 4.4 4.8 3.8

5.4 7.9 4.1 5.3 3.2 3.7 4.4 4.3 4.1 7.2 7.6 6.2 7.6 4.3 3.5 3.6

6.0 6.3 6.6 5.6 6.8 7.5 8.4 5.5 5.4 5.6 6.2 6.7 7.3 5.8 4.3 4.5

4.5 5.5 5.3 3.6 3.2 3.8 2.9 2.5 2.4 4.4 5.3 2.9 5.3 3.7 4.0 5.3 5.2 5.4 5.6 5.4 6.4 4.2 4.2 3.8 4.9 3.6 3.1 4.2 4.9 3.3

100





Industry 1987 SIC

Code


June 1994

July 1994

May 1995

June 1995p

July 1995p


June 1994

July 1994

May 1995

June 1995p

Durable goods—Continued Stone, clay, and glass products

Flat glass Glass and glassware, pressed or blown




Misc. nonmetallic mineral products Abrasive products Asbestos products
















Misc. fabricated metal products Valves and pipe fittings, nee Misc. fabricated wire products

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 3365

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

$12.15 18.38 13.71 14.25 13.20 10.66 15.22 10.76 10.53 11.72 11.22 10.43 12.43 12.43 10.77 14.75

14.31 16.79 18.10 13.32 13.33 14.22 15.19 11.82 15.38 15.50 13.43 13.17 15.70 13.54 11.36 10.76

11.90 15.40 16.46 11.93 11.20 11.93 10.56 9.77

10.90 10.97 10.98 9.33

12.34 11.20 10.11 11.77 11.01 12.62 14.40 13.79 16.68 11.23 9.84 9 86 9.82

13.80 14.34 11.08 11.30 9.75

$12.17 18.04 13.76 14.24 13.31 10.47 15.40 10.78 10.49 11.80 11.15 10.42 12.58 12.52 10.73 14.85

14.40 16.93 18.25 13.23 13.26 14.15 14.77 11.98 15.53 15.58 13.47 13.42 15.58 13.60 11.30 10.46

11.86 15.61 16.66 11.85 11.10 11.86 10.61 9.85

10.82 11.02 11.12 9.37

12.32 11.29 10.06 11.75] 11.06 12.52 14.20 13.86) 16.61 11.25 9.85 9.83 9.87

14.01 14.65 11.18 11.46 9.93

$12.31 18.04 13.98 14.47 13.57 10.84 16.04 10.80 10.58 11.89 11.24 10.64 12.61 12.57 10.96 15.45

14.50 17.23 18.59 13.55 13.29 13.96 15.97 12.00 15.70 15.68 13.63 13.67 15.53 13.80J 11.39 10.80)

12.07 15.49 16.54 12.18 11.21 12.32 10.55 9.83

10.77 11.28 11.24 9.64

12.65 11.56 10.42 11.89 11.23 12.63 14.27 13.74 16.25 11.42 10.11 10.02 10.24 13.83 14.58 11.37 11.75 10.16

$12.35 17.71 14.04 14.48 13.67 10.95 15.92 10.78 10.56 11.97 11.32 10.76 12.64 12.67 10.82 15.94

14.61 17.38 18.74 13.73 13.36 14.07 16.13 12.05 15.87 15.87 13.72 13.42 15.69 13.91 11.41 10.83

12.05 15.70 16.83 12.30 11.33 12.48 10.65 9.88

10.84 11.27 11.26 9.57

12.55 11.56 10.60 11.82 11.33 12.36 14.18 13.59 16.18 11.38 10.14 9.99

10.38 13.82 14.52 11.32 11.61 10.18

$12.44

14.65 17.27

12.15

$537.03 891.43 586.79 619.88 557.04 466.91 651.42 450.84 428.57 542.64 534.07 465.18 585.45 535.73 468.50 609.18

639.66 752.19 814.50 591.41 613.18 662.65 709.37 530.72 662.88 657.20 604.35 572.90 717.49 606.59 493.02 463.76

510.51 693.00 734.12 510.60 473.76 512.99 442.46 407.41 457.80 462.93 467.75 389.06 525.68 465.92 415.52 508.46 475.63 543.92 642.24 591.59) 772.28 479.52 412.30 410.18 416.37 578.22 579.34] 474.221 490.42 414.38

$533.05 844.27 593.06 627.98 561.68 430.32 654.50 450.60 425.89 545.16 528.51 470.98 584.97 537.11 454.95 626.67

639.36 766.93 834.03 576.83 592.72| 642.41 660.22 509.151 669.34 657.48 600.76 622.69 721.35 584.80 479.12 435.14

498.12 694.65 734.71 492.96 467.31 485.07 438.19 409.76 441.46 465.04 478.16 384.17 523.60 473.05 421.51 493.50 464.52 527.09 602.08 590.44 707.59 473.63 403.85 399.10 411.58 573.01 584.54 469.56 491.63 411.10

$529.33 842.47 603.94 638.13 576.73 452.03 691.32 451.44 435.90 524.35 515.92 462.84 552.32 530.45 461.42 610.28

636.55 759.84 821.68 589.43 595.39 629.60 752.19 530.40 675.10 675.81 605.17 591.91 728.36 604.44 478.38 455.76

508.15 659.87 706.26 505.47 460.73 512.51 419.89 379.44 430.80 468.12 479.95 386.56 538.89 470.49 428.26 514.84 479.52 556.98 627.88 597.69 737.75 478.50 412.49 404.81 423.94 579.48 606.53 476.40 505.25 413.51

$537.23 798.72 609.34 640.02 583.71 450.05 686.15 454.92 426.62 547.03 532.04 471.29 586.50 537.21 455.52 659.92

642.84 764.72 828.31 604.12 605.21 648.63 746.82 527.79 672.89 669.71 614.66 611.95 734.29 614.82 476.94 455.94

510.92 673.53 718.64 519.06 475.86 526.66 441.98 389.27 460.70 475.59 486.43 391.41 544.67 476.27 438.84 510.62 480.39 545.08 618.25 578.93 724.86 477.96 415.74 406.59 430.77 579.06 606.94 475.44 487.62 416.36


101




Industry 1987 SIC

Code


June 1994

July 1994

May 1995

June 1995p

July 1995p


June 1994

July 1994

May 1995

June 1995p

Durable goods—Continued Industrial machinery and equipment

Engines and turbines Turbines and turbine generator sets Internal combustion engines, nee




















35 351 3511 3519 352 3523 353 3531 3532 3533 3535 3537 354 3541 3542 3544 3545 3546 355 3552 3555 3556 356 3561 3562 3563 3564 3566 3568 357 3571

3575,8,9 358 3585 359 3592 3596,9

36 361 3612 3613 362 3621 3625 363 3632 3633 3634 364 3641 3643 3644 3645 365 3651 366 3661 367 3671 3674 3679 369 3691 3694

43.8 45.1 42.3 46.3 43.2 43.4 44.0 43.1 43.5 46.1 43.9 42.7 44.2 44.8 45.3 44.3 43.4 43.2 43.4 42.0 42.8 43.9 43.9 44.0 45.4 45.1 42.9 43.3 44.3 43.2 44.4

43.0 44.3 45.5 43.1 43.4 43.1

42.3 42.5 42.3 42.8 43.7 44.7 42.0 41.0 41.8 40.8 41.0 42.4 46.3 41.4 43.0 39.3 41.8 41.7 42.7 44.5 41.9 42.7 42.1 41.0 42.9 43.5 43.8

43.1 44.5 42.5 45.3 42.5 42.6 43.6 42.3 44.2 46.2 44.0 42.8 43.7 44.4 43.9 44.2 42.7 43.1 42.4 40.8 41.8 43.0 43.5 43.2 44.0 44.5 42.9 42.3 43.7 41.9 42.3

41.6 43.8 45.2 42.5 41.1 42.6

41.5 42.0 41.3 42.7 43.1 43.6 42.4 41.3 44.9 38.6 41.1 41.1 43.8 41.0 42.2 37.2 39.9 38.9 41.7 43.8 41.2 41.5 41.5 40.7 42.1 42.9 42.1

43.4 43.9 40.7 45.2 41.7 41.8 43.6 43.9 42.5 45.1 43.1 42.7 44.2 45.8 46.6 44.2 44.3 40.2 43.4 42.2 41.6 43.9 43.6 43.4 45.2 46.1 41.6 43.5 43.7 42.8 44.5

41.2 43.3 43.8 43.2 44.2 43.1

41.3 41.5 41.6 41.5 41.6 41.9 40.5 40.9 42.2 40.5 40.4 41.5 45.8 40.0 42.1 39.2 40.2 39.9 41.9 44.3 41.0 39.8 40.7 40.4 41.8 41.6 42.5

43.3 43.3 40.0 44.7 40.8 41.6 43.7 42.8 42.8 46.0 43.9 43.3 44.1 46.0 44.9 43.9 44.0 42.0 43.5 42.3 41.4 43.9 43.4 43.0 45.0 45.9 42.9 43.3 42.7 43.0 44.5

41.8 42.8 43.4 43.1 44.6 43.0

41.6 41.4 41.6 41.2 42.2 42.9 40.7 39.8 39.8 39.2 39.8 41.4 44.6 39.7 41.5 40.7 41.5 41.7 43.1 46.0 41.2 40.1 40.6 41.3 42.2 42.5 42.4

42.6

40.7

5.3 5.9 4.6 6.4 4.5 4.9 5.7 6.0 5.1 5.9 5.9 4.9 6.0 5.9 6.0 6.6 4.7 5.1 5.4 4.1 5.5 5.5 5.4 4.9 7.6 5.3 4.1 6.5 5.4 3.7 4.0

3.8 5.8 6.4 5.2 6.0 5.2

4.3 4.1 3.8 4.4 5.0 5.7 3.9 3.0 2.7 3.5 2.5 4.3 5.7 3.8 3.5 2.3 4.9 4.5 4.0 4.6 4.4 5.2 4.7 3.9 4.8 5.5 5.4

5.2 5.5 3.6 6.3 4.4 4.6 5.5 5.2 4.9 6.7 5.8 5.3 5.9 5.8 5.7 6.6 4.6 4.9 5.0 3.5 5.0 5.4 5.3 5.0 6.5 5.1 4.9 6.3 5.3 3.4 3.2

3.6 5.7 6.4 5.1 5.9 5.1

4.1 4.3 3.8 4.9 5.0 5.4 4.2 3.4 4.9 2.6 3.1 3.7 4.8 4.1 3.3 2.0 4.2 3.2 3.4 4.1 4.3 4.7 4.6 3.9 4.4 5.6 4.1

5.1 4.3 3.1 4.8 3.5 3.5 5.3 5.6 4.2 5.8 5.7 4.4 6.2 6.7 7.4 6.6 5.5 3.2 5.4 4.5 4.8 5.4 5.0 4.8 6.4 5.3 3.0 6.5 5.5 3.3 3.7

3.3 4.8 5.2 5.4 5.5 5.5

3.8 3.3 3.1 3.5 3.7 3.7 3.3 2.5 2.7 2.1 2.5 3.5 5.2 2.9 2.9 1.4 4.6 3.8 2.7 3.3 4.5 4.5 5.3 3.8 4.0 4.0 4.4

102





Industry 1987 SIC

Code


June 1994

July 1994

May 1995

June 1995p

July 1995p


June 1994

July 1994

May 1995

June 1995p

Durable goods—Continued Industrial machinery and equipment

Engines and turbines Turbines and turbine generator sets Internal combustion engines, nee



















35 351 3511 3519 352 3523 353 3531 3532 3533 3535 3537 354 3541 3542 3544 3545 3546 355 3552 3555 3556 356 3561 3562 3563 3564 3566 3568 357 3571

3575,8,9 358 3585 359 3592 3596,9

36 361 3612 3613 362 3621 3625 363 3632 3633 3634 364 3641 3643 3644 3645 365 3651 366 3661 367 3671 3674 3679 369 3691 3694

$12.95 16.21 16.94 15.93 12.32 13.35 13.03 14.37 13.58 11.88 12.14 11.43 13.57 13.85 13.80 14.09 11.96 11.23 13.46 11.49 15.59 13.11 12.70 13.54 14.23 12.79 10.53 13.65 12.67 13.14 14.22

12.97 11.61 11.77 12.34 13.61 12.00

11.53 11.24 10.78 11.73 10.85 10.12 12.35 10.76 11.47 13.45 8.45

11.28 11.75 11.24 10.48 8.41

11.79 12.40 12.35 13.88 11.32 13.29 14.39 9.73

12.88 13.96 13.52

$12.94 16.08 17.06 15.69 12.69 13.52 12.83 13.97 13.49 11.88 12.19 11.42 13.64 13.96 13.71 14.20 11.91 11.24 13.46 11.54 15.47 13.15 12.73 13.63 14.32 12.93 10.60 13.41 12.65 13.04 14.10

12.82 11.46 11.59 12.39 13.25 12.11

11.56 11.26 10.76 11.77 11.01 10.20 12.68 11.03 11.64 13.68 8.73

11.28 11.84 11.35 10.46 8.41

11.30 11.61 12.35 13.89 11.41 13.59 14.61 9.71

12.76 14.28 13.37

$13.15 15.81 16.94 15.38 12.75 13.68 12.84 13.43 13.74 12.11 12.34 11.83 13.88 14.26 14.20 14.42 12.23 11.51 13.54 11.81 15.55 13.18 12.83 13.74 14.01 12.91 10.60 13.87 12.59 13.78 15.14

13.34 11.74 11.95 12.71 14.07 12.41

11.55 11.33 10.62 12.10 10.98 10.32 12.47 11.31 12.12 13.73 9.08

11.44 11.97 11.33 10.70 8.47

10.80) 11.45 11.95 13.20) 11.35 13.37 14.19) 9.76

13.21 14.03 14.01

$13.15 15.81 17.16 15.31 12.84 13.63 12.76 13.15 13.71 12.20 12.42 11.91 13.86 14.27 14.20 14.37 12.25 11.67 13.61 11.84 15.72 13.20 12.84 13.57 14.04 12.85 10.87 13.93 12.52 13.70J 14.94

13.55 11.83 12.01 12.70 13.95 12.42

11.59 11.43 10.68 12.26 11.06 10.39 12.50 11.25 11.94 13.72 9.04

11.47 11.87 11.38 10.75 8.48

11.08 11.36 11.93 13.16 11.39 13.32 14.37 9.76

13.13 13.97 13.92

$13.21

11.67

$567.21 731.07 716.56 737.56 532.22 579.39 573.32 619.35 590.73 547.67 532.95 488.06 599.79 620.48 625.14 624.19 519.06 485.14 584.16 482.58 667.25 575.53 557.53 595.76 646.04 576.83 451.74 591.05 561.28 567.65 631.37

557.71 514.32 535.54 531.85 590.67 517.20

487.72 477.70 455.99 502.04 474.15 452.36 518.70 441.16 479.45 548.76 346.45 478.27 544.03 465.34 450.64 330.51 492.82 517.08 527.35 617.66 474.31 567.48 605.82 398.93 552.55 607.26 592.18

$557.71 715.56 725.05 710.76 539.33 575.95 559.39 590.93 596.26 548.86 536.36 488.78 596.07 619.82 601.87 627.64 508.56 484.44 570.70 470.83 646.65 565.45 553.76 588.82 630.08 575.39 454.74 567.24 552.81 546.38 596.43

533.31 501.95 523.87 526.58 544.58 515.89

479.74 472.92 444.39 502.58 474.53 444.72 537.63 455.54 522.64 528.05 358.80 463.61 518.59 465.35 441.41 312.85 450.87 451.63 515.00 608.38 470.09 563.99 606.32 395.20 537.20 612.61 562.88

$570.71 694.06 689.46 695.18 531.68 571.82 559.82 589.58 583.95 546.16 531.85 505.14 613.50 653.11 661.72 637.36 541.79 462.70 587.64 498.38 646.88 578.60 559.39 596.32 633.25 595.15 440.96 603.35 550.18 589.78 673.73

549.61 508.34 523.41 549.07 621.89 534.87

477.02 470.20 441.79 502.15 456.77 432.41 505.04 462.58 511.46 556.07 366.83 474.76 548.23 453.20 450.47 332.02 434.16 456.86 500.71 584.76 465.35 532.13 577.53 394.30 j 552.18 583.65 595.43

$569.40 684.57 686.40 684.36 523.87 567.01 557.61 562.82 586.79 561.20 545.24 515.70 611.23 656.42 637.58 630.84 539.00 490.14 592.04 500.83 650.81 579.48 557.26 583.51 631.80 589.82 466.32 603.17 534.60 589.10 664.83

566.39 506.32 521.23 547.37 622.17 534.06

482.14 473.20 444.29 505.11 466.73 445.73 508.75 447.75 475.21 537.82 359.79 474.86 529.40 451.79 446.13 345.14 459.82 473.71 514.18 605.36 469.27 534.13 583.42 403.09 554.09 593.73 590.21


103




Industry 1987 SIC

Code


June 1994

July 1994

May 1995

June 1995p

July 1995p


June 1994

July 1994

May 1995

June 1995p

Durable goods—Continued Transportation equipment

Motor vehicles and equipment Motor vehicles and car bodies Truck and bus bodies Motor vehicle parts and accessories Truck trailers



Railroad equipment Guided missiles, space vehicles, and parts...

Guided missiles and space vehicles Misc. transportation equipment





Ophthalmic goods Photographic equipment and supplies Watches, clocks, watchcases, and parts







Nondurable goods

Food and kindred products Meat products

Meat packing plants Sausages and other prepared meats Poultry slaughtering and processing





37 371 3711 3713 3714 3715 372 3721 3724 3728 373 3731 3732 374 376 3761 379 3792

38 381 382 3822 3823 3825 384 3841 3842 385 386 387

39 391 3911 393 394 3942,4 3949 395 396 3961 399 3993

20 201 2011 2013 2015 202 2022 2026 203 2032 2033 2037 204 2041 2048

44.4 46.1 46.3 44.4 46.5 43.3 42.2 41.1 43.5 43.1 40.9 41.4 40.0 46.2 41.7 42.0 39.3 38.5

41.7 41.1 42.3 42.6 42.4 42.0 41.2 41.7 40.5 39.7 43.8 42.2

40.1 38.2 37.5 40.8 40.6 38.7 41.7 41.2 39.3 38.7 40.1 41.1

41.1

41.1 41.5 42.7 43.8 39.9 42.2 40.1 42.5 39.8 42.4 40.3 39.3 43.9 44.8 43.5

42.5 43.2 44.9 43.1 42.2 43.5 41.6 39.8 44.6 42.5 40.8 41.7 39.2 44.4 42.5 43.1 39.5 39.5

41.4 40.7 42.1 42.4 42.9 41.1 40.9 40.6 40.9 38.7 43.4 41.3

39.5 37.9 37.5 37.6 39.9 38.0 40.8 40.7 38.4 38.3 39.9 41.4

40.8

41.6 41.4 43.0 43.3 39.7 42.7 41.4 42.7 41.0 42.1 41.6 40.8 45.0 44.9 44.5

43.7 44.9 46.0 45.1 44.5 42.7 42.2 41.0 43.6 43.2 41.1 41.6 40.2 44.4 42.3 42.4 39.4 37.4

41.2 41.0 41.4 40.5 41.6 41.2 41.1 41.8 40.1 38.3 43.1 38.8

39.6 38.4 38.1 42.2 40.0 38.3 40.9 40.1 38.2 38.0 39.6 41.0

40.3

40.7 40.8 43.4 41.4 39.1 42.0 40.1 42.3 39.5 42.7 39.8 39.0 44.0 44.4 43.5

44.0 45.1 46.1 46.4 44.5 44.1 42.6 41.3 44.1 43.6 41.8 43.0 39.9 44.0 43.1 43.8 38.9 37.4

41.3 41.1 41.7 40.6 42.8 41.6 41.0 41.9 39.8 39.1 43.0 40.5

39.9 38.8 38.4 42.4 39.8 37.8 40.9 40.1 39.7 40.3 40.1 41.3

40.5

41.2 41.1 43.1 41.7 39.7 42.9 41.5 42.4 39.7 43.8 37.6 40.1 44.8 45.0 44.3

42.0 42.6

40.7

38.7

40.1

41.3

6.3 7.8 8.5 6.2 7.9 5.3 4.6 4.1 5.2 5.0 3.2 3.1 3.3 6.0 3.3 3.3 2.9 2.4

3.2 2.1 3.2 4.0 2.9 2.6 3.2 3.5 2.8 2.4 5.4 3.7

2.8 2.0 1.9 2.9 3.0 2.0 3.5 3.2 2.3 2.1 3.0 3.8

4.3

4.8 4.6 5.2 6.0 3.8 5.0 3.9 4.7 4.4 4.7 5.0 4.0 6.2 5.8 6.0

4.8 5.4 6.2 5.6 5.0 5.5 4.5 4.1 5.3 4.7 3.2 2.9 3.6 4.4 3.2 3.1 3.0 2.9

3.2 2.1 3.1 3.9 3.0 2.0 3.2 3.0 3.4 2.0 5.3 3.7

2.8 2.0 2.1 2.4 3.0 2.3 3.3 2.5 2.1 1.8 3.1 3.6

4.3

5.4 4.8 5.6 6.0 4.0 5.2 4.3 5.1 5.9 4.4 7.1 5.2 7.2 6.4 6.7

5.6 6.6 7.2 6.0 6.6 5.3 4.5 3.8 5.3 4.9 3.8 4.1 3.3 4.7 3.7 4.0 2.4 1.4

3.2 2.5 2.9 2.7 3.1 2.5 3.0 3.2 2.8 1.8 6.6 1.1

2.7 2.1 2.4 3.7 3.1 1.8 3.8 2.2 1.5

.9 2.8 3.3

3.8

4.4 4.5 5.7 5.2 3.6 5.0 3.8 4.9 3.5 4.3 3.5 3.3 6.2 6.5 6.0

104





Industry 1987 SIC

Code


June 1994

July 1994

May 1995

June 1995p

July


June 1994

July 1994

May 1995

June 1995p

Durable goods—Continued Transportation equipment

Motor vehicles and equipment Motor vehicles and car bodies Truck and bus bodies Motor vehicle parts and accessories Truck trailers



Railroad equipment Guided missiles, space vehicles, and parts ..

Guided missiles and space vehicles Misc. transportation equipment





Ophthalmic goods Photographic equipment and supplies Watches, clocks, watchcases, and parts







Nondurable goods

Food and kindred products Meat products

Meat packing plants Sausages and other prepared meats Poultry slaughtering and processing




37 371 3711 3713 3714 3715 372 3721 3724 3728 373 3731 3732 374 376 3761 379 3792

38 381 382 3822 3823 3825 384 3841 3842 385 386 387

39 391 3911 393 394 3942,4 3949 395 396 3961 399 3993

20 201 2011 2013 2015 202 2022 2026 203 2032 2033 2037 204 2041 2048

$16.42 16.93 20.73 14.30 15.44 9.99

17.92 (2)

$17.21 16.06 12.40 13.80 9.80

15.64 17.26 (2)

$10.87 10.75

12.43 16.57 12.20 10.88 11.77 13.43 11.11 10.77 10.42 9.32

15.17 8.44

9.60 9.93 9.88 9.60 8.95 8.87 8.99

10.78 8.27 7.08

10.01 10.21

11.21

10.65 8.65 9.33

10.10 7.68

11.94 10.65 12.66 10.16 13.54 10.54 9.08

13.05 10.96 10.56

$16.41 16.89 20.88 14.64 15.22 9.89

17.97 (2)

$17.44 16.18 12.56 13.92 10.02 15.47 17.57 (2)

$10.66 10.67

12.46 16.64 12.17 10.66 11.75 13.49 11.20 10.82 10.58 9.38

15.12 8.64

9.61 9.84 9.77 9.61 9.05 8.79| 9.18

10.72 8.28 7.14 9.98

10.14

11.28

10.68 8.76 9.50

10.15 7.76

11.98 10.73 12.74 10.16 13.53 10.56 8.98

13.19 10.93 10.58

$16.57 17.13 20.34 14.33 15.80 10.40 18.06 (2)

$16.93 16.17 12.53 14.09 9.90

15.05 17.58 (2)

$10.82 10.58

12.66 16.52 12.53 11.11 12.16 13.97 11.42 10.90 10.83 9.73

15.14 8.79

9.98 10.25 10.27 10.17 9.39 9.28 9.44

11.04 8.65 7.33

10.36 10.77

11.52

10.91 8.96 9.60

10.44 8.00

12.23 11.05 12.84 10.62 14.06 11.29

9.84 13.43 11.48 10.97

$16.62 17.17 20.43 14.12 15.87 10.42 18.07 (2)

$16.98 16.08 12.50 13.89 10.02 14.97 17.71 (2)

$10.95 10.70

12.68 16.44 12.51 11.38 11.93 13.94 11.49 11.01 10.89 9.65

15.40 8.80

9.95 10.21 10.20| 10.04 9.361 9.15 9.46

10.99 8.56 7.14

10.33 10.69

11.55

10.92 8.96 9.55

10.38 8.07

12.19 11.08 12.93 10.43 14.25 11.27 9.35

13.62 11.50 11.01

$16.81 17.47

12.78

10.04

11.69

10.93

$729.05 780.47 959.80 634.92 717.96 432.57 756.22

$748.64 692.19 507.16 571.32 392.00 722.57 719.74

$427.19 413.88

518.33 681.03 516.06 463.49 499.05 564.06 457.73 449.11 422.01 370.00 664.45 356.17

384.96 379.33 370.50 391.68 363.37 343.27 374.88 444.14 325.01 274.00 401.40 419.63

460.73

437.72 358.98 398.39 442.38 306.43 503.87 427.07 538.05 404.37 574.10 424.76 356.84 572.90 491.01 459.36

$697.43 729.65 937.51 630.98 642.28 430.22 747.55

$777.82 687.65 512.45 580.46 392.78 686.87 746.73

$421.07 421.47

515.84 677.25 512.36 451.98 504.08 554.44 458.08 439.29 432.72 363.01 656.21 356.83

379.60 372.94 366.38 361.34 361.10 334.02 374.54 436.30 317.95 273.46 398.20 419.80

460.22

444.29 362.66 408.50 439.50 308.07 511.55 444.22 544.00 416.56 569.61 439.30 366.38 593.55 490.76 470.81

$724.11 769.14 935.64 646.28 703.10 444.08 762.13

$738.15 698.54 514.98 586.14 397.98 668.22 743.63

$426.31 395.69

521.59 677.32 518.74 449.96 505.86 575.56 469.361 455.62 434.28 372.66 652.53 341.05

395.21 393.60 391.29 429.17 375.60 355.42 386.10 442.70 330.43 278.54 410.26 441.57

464.26

444.04 365.57 416.64 432.22 312.80 513.66 443.11 543.13 419.49 600.36 449.34 383.76 590.92 509.71 477.20

$731.28 774.37 941.82 655.17 706.22 459.52 769.78

$748.82 701.09 522.50 597.27 399.80 658.68 763.30

$425.96 400.18

523.68 675.68 521.67 462.03 510.60 579.90 471.09 461.32 433.42 377.32 662.20 356.40

397.01 396.15 391.68 425.70 372.53 345.87 386.91 440.70 339.83 287.74 414.23 441.50

467.78

449.90 368.26 411.61 432.85 320.38 522.95 459.82 548.23 414.07 624.15 423.75 374.94 610.18 517.50 487.74


105




Industry 1987 SIC

Code


June 1994

July 1994

May 1995

June 1995p

July 1995p


June 1994

July 1994

May 1995

June 1995p

Nondurable goods—Continued Food and kindred products—Continued










Textile finishing, except wool Finishing plants, cotton Finishing plants, synthetics

Carpets and rugs Yarn and thread mills










Paper and allied products Paper mills Paperboard mills


205 2051

2052,3 206 2061 2062 2063 2064 207 208 2082 2086 209

21 211

22 221 222 223 224 225 2251 2252 2253 2254 2257 226 2261 2262 227 228 2281 2282 229

23 231 232 2321 2325 2326 233 2331 2335 2337 2339 234 2341 2342 236 2361 238 239 2391 2392 2396

26 262 263

39.8 39.4

40.6 40.2 44.1 46.7 40.3 38.7 44.2 43.3 45.7 43.7 39.4

40.2 40.8

42.4 42.8 42.0 43.7 40.9 41.3 42.0 40.4 40.6 40.2 42.3 44.1 44.9 42.5 43.1 42.3 42.7 39.3 43.8

38.0 37.1 38.1 37.2 37.7 38.1 36.4 36.6 37.4 35.8 36.2 38.6 38.5 38.8 38.2 37.3 37.6 40.3 39.8 38.4 41.4

44.0 45.3 45.1

39.3 39.1

39.7 40.6 45.3 45.7 41.7 39.4 43.9 43.7 47.5 43.2 41.1

38.0 38.4

41.2 41.7 40.4 43.3 39.2 40.4 39.5 40.1 39.7 39.8 41.8 43.1 43.9 41.8 41.7 41.1 41.5 38.5 42.1

37.3 37.5 37.6 37.3 37.4 37.8 35.9 36.8 36.5 35.7 35.6 37.6 37.6 37.6 38.5 37.6 36.5 38.6 37.2 38.4 38.6

43.9 45.9 46.1

39.6 40.0

38.9 39.5 40.9 44.2 41.0 38.7 42.9 41.9 44.8 41.3 39.9

40.1 40.7

40.5 41.6 40.4 42.9 39.3 39.3 37.6 37.3 39.9 39.1 40.8 40.9 41.1 39.6 41.4 40.6 40.9 38.2 41.7

37.0 36.9 36.7 35.8 36.7 37.0 35.8 35.7 36.4 36.4 35.5 36.9 36.9 37.1 37.0 36.3 38.2 38.5 37.6 36.8 40.0

42.8 45.2 45.4

39.8 40.3

38.9 40.2 39.8 44.5 40.4 39.6 44.2 42.8 46.6 41.9 40.3

41.6 42.6

40.8 42.1 40.6 42.5 39.7 39.8 40.0 37.7 40.2 38.7 40.9 41.6 42.7 39.8 41.3 40.3 40.4 38.6 42.1

37.2 36.9 37.0 36.8 37.2 36.5 35.9 35.3 36.3 36.2 35.9 37.1 37.0 37.2 37.7 36.6 37.4 38.8 38.7 38.0 40.4

42.9 45.0 44.8

39.3

39.7

36.3

42.7

4.5 4.7

4.0 3.3 4.3 6.3 4.2 2.7 5.8 6.7 8.5 7.3 4.2

3.2 3.5

5.1 6.3 4.8 6.5 3.4 3.9 4.1 3.8 3.2 1.9 5.4 6.5 6.7 5.5 6.3 5.0 5.1 3.7 5.7

2.2 1.3 1.8 1.6 1.6 1.7 1.7 1.5 2.7 1.4 1.5 2.5 2.5 2.7 2.4 2.3 1.7 3.6 2.7 2.6 4.4

5.5 5.7 6.8

4.6 4.6

4.7 3.6 4.9 7.2 2.7 3.2 6.6 6.8 9.4 6.7 5.8

3.5 3.9

4.5 5.6 4.1 5.7 2.9 3.5 3.0 3.8 3.0 2.2 4.7 5.7 5.9 5.1 5.0 4.6 4.8 3.3 4.8

2.0 1.2 2.0 1.3 2.2 1.8 1.7 1.1 2.6 1.6 1.6 2.3 2.2 2.5 2.4 2.2 1.4 2.6 1.5 2.8 2.0

5.8 6.3 7.4

4.0 4.4

3.2 3.0 3.0 5.7 2.2 2.9 5.9 5.0 7.1 5.0 4.3

5.0 6.1

4.0 5.1 3.6 6.2 2.8 3.1 2.6 2.5 3.1 2.5 4.3 4.5 4.5 4.1 4.3 4.2 4.4 2.6 4.2

1.7 1.2 1.2 1.1 1.1 1.3 1.7 .9 2.0 1.5 1.7 1.1 1.1 1.4 1.8 1.6 1.9 2.5 1.5 1.8 2.7

5.0 6.5 7.7

106





Industry 1987 SIC

Code


June 1994

July 1994

May 1995

June 1995p

July 1995p


June 1994

July 1994

May 1995

June 1995p

Nondurable goods—Continued Food and kindred products—Continued










Textile finishing, except wool Finishing plants, cotton Finishing plants, synthetics

Carpets and rugs Yarn and thread mills










Paper and allied products Paper mills Paperboard mills

205 2051

2052,3 206 2061 2062 2063 2064 207 208 2082 2086 209

21 211

22 221 222 223 224 225 2251 2252 2253 2254 2257 226 2261 2262 227 228 2281 2282 229

23 231 232 2321 2325 2326 233 2331 2335 2337 2339 234 2341 2342 236 2361 238 239 2391 2392 2396

26 262 263

$11.79 11.75

11.86 11.86 11.29 15.70 13.40 10.80 11.29 14.93 20.36 12.34 9.63

20.78 23.66

9.11 9.54 10.06 9.63 8.28 8.33 7.87 8.05 7.80 8.33 9.45 9.39 9.15 9.96 9.16 8.85 8.81 9.33 10.42

7.33 7.90 6.94 6.84 6.83 6.64 6.92 6.44 7.45 7.45 6.76 6.95 6.74 7.79 6.55 6.46 6.88 8.52 7.31 7.57 11.19

13.68 16.96 17.05

$11.92 11.83

12.09 11.83 10.64 15.94 13.19 10.75 11.48 15.10 20.50 12.26 9.45

20.60 23.13

9.12 9.60

10.08 9.65 8.39 8.29 7.82 8.08 7.80 8.35 9.32 9.38 9.07 9.93 9.07 8.92 8.87 9.52

10.49

7.31 8.04 6.98 6.83 6.94 6.73 6.96 6.38 7.54 7.43 6.83 7.00 6.81 7.79 6.57 6.47 6.84 J 8.31 7.34 7.58

10.41 J

13.83 17.11 17.27

$11.82 11.81

11.82 11.98 11.29 16.39 12.84 10.89 11.57 15.22 21.05 12.36 9.78

21.05 24.35

9.35 9.80

10.29 10.06 8.67 8.61 8.11 8.26 8.03 8.94 9.53 9.49 9.20 9.94 9.28 9.13 9.07 9.49

10.62

7.56 8.01 7.18 7.00 7.10 7.10 7.20 6.46 7.79 7.85 7.05 7.14 6.91 8.03 6.78 6.47 7.11 8.67 7.36 7.95

10.93

14.17 17.78 17.86

$11.88 11.99

11.67 12.18 11.45 16.28 13.28 11.10 11.67 15.31 20.86 12.60 9.83

21.75 25.09

9.39 9.81

10.27 10.03

8.76 8.67 8.13 8.31 8.09 8.93 9.76 9.54 9.31 9.91 9.30 9.17 9.11 9.49

10.70

7.60 8.00 7.17 7.06 7.13 7.02 7.28 6.50 7.86 7.79 7.16 7.25 7.01 8.16 6.78 6.49 7.09 8.74 7.61 8.04

10.93

14.14 17.69 17.62

$22.08

9.39

7.60

14.43

$469.24 462.95

481.52 476.77 497.89 733.19 540.02 417.96 499.02 646.47 930.45 539.26 379.42

835.36 965.33

386.26 408.31 422.52 420.83 338.65 344.03 330.54 325.22 316.68 334.87 399.74 414.10 410.84 423.30 394.80 374.36 376.19 366.67 456.40

278.54 293.09 264.41 254.45 257.49 252.98 251.89 235.70 278.63 266.71 244.71 268.27 259.49 302.25 250.21 240.96) 258.691 343.36 290.94 290.69 463.27 J

601.92 768.29 768.96

$468.46 462.55

479.97 480.30 481.99 728.46 550.02 423.55 503.97 659.87 973.75 529.63 388.40

782.80 888.19

375.74 400.32 407.23 417.85 328.89 334.92 308.89 324.01 309.66 332.33 389.58 404.28 398.17 415.07 378.22 366.61 368.11 366.52 441.63

272.66 301.50 262.45 254.76 259.56 254.39 249.86 234.78 275.21 265.25 243.15 263.20 256.06 292.90 252.95 243.27 249.66 320.77 273.05 291.07 401.83

607.14 785.35 796.15

$468.07 472.40

459.80 473.21 461.76 724.44 526.44 421.44 496.35 637.72 943.04 510.47 390.22

844.11 991.05

378.68 407.68 415.72 431.57 340.73 338.37 304.94 308.10 320.40 349.55 388.82 388.14 378.12 393.62 384.19 370.68 370.96 362.52 442.85

279.72 295.57 263.51 250.60 260.57 262.70 257.76 230.62 283.56 285.74 250.28 263.47 254.98 297.91 250.86 234.86 271.60 333.80 276.74 292.56 437.20

606.48 j 803.66 810.84

$472.82 483.20

453.96 489.64 455.71 724.46 536.51 439.56 515.81 655.27 972.08 527.94 396.15

904.80 1,068.83

383.11 413.00 416.961 426.28 347.77 345.07 325.20 313.29 325.22 345.59 399.18 396.86 397.54 394.42 384.09 369.55 368.04 366.31 450.47

282.72 295.20 265.29 259.81 265.24 256.23 261.35 229.45 285.32 282.00 257.04 268.98 259.37 303.55 255.61 237.53 265.17 339.11 294.51 305.52 441.57

606.61 796.05] 789.38


107




Industry 1987 SIC

Code


June 1994

July 1994

May 1995

June 1995p

July 1995p


June 1994

July 1994

May 1995

June 1995p

Nondurable goods—Continued Paper and allied products—Continued

Paperboard containers and boxes Corrugated and solid fiber boxes Sanitary food containers Folding paperboard boxes


















Leather and leather products Leather tanning and finishing Footwear, except rubber



Service-producing



265 2653 2656 2657 267 2672 2673 2677

27 271 272 273 2731 2732 274 275 2752 2759 276 278 279

28 281 2819 282 2821 2824 283 2834 284 2841 2842,3 2844 285 286 2865 2869 287 289

29 291 295

30 301 302 305 3052 306 308

31 311 314 3143 3144 316 317

44.4 45.1 44.7 44.0 42.3 42.6 42.1 41.6

38.4 33.2 37.2 40.5 40.0 41.1 36.7 39.9 39.5 40.1 41.2 39.7 39.3

43.2 44.5 43.5 44.3 45.3 43.7 41.0 40.6 41.3 42.8 40.9 40.8 44.4 45.2 46.0 45.1 45.1 43.4

44.0 43.2 47.3

42.5 44.9 41.3 42.0 43.5 42.1 42.4

C8.9 43.7 38.2 37.3 38.9 37.9 37.3

32.9

40.1

43.6 44.4 43.4 43.7 42.2 43.1 42.2 41.3

38.3 32.7 36.5 40.0 38.9 41.3 36.8 40.0 39.8 40.0 41.6 39.7 39.7

43.1 44.2 43.3 44.0 44.8 43.3 40.8 40.5 41.2 42.2 40.4 41.0 43.4 45.4 45.7 45.4 45.3 43.3

43.8 43.2 46.5

41.6 43.8 39.7 41.4 43.4 41.0 41.5

37.9 42.2 36.9 35.5 38.6 39.8 37.8

33.2

40.3

42.1 42.4 41.3 42.4 41.1 41.8 41.0 40.6

38.0 33.0 36.3 40.7 40.1 41.3 36.8 39.3 38.9 39.9 41.4 39.3 39.2

43.2 45.5 45.4 44.4 44.9 45.1 41.9 41.9 40.3 40.4 39.9 40.4 42.8 45.0 45.7 44.8 44.5 42.8

43.2 43.3 43.6

41.6 45.4 39.5 42.2 43.5 41.3 41.1

38.5 42.8 37.6 37.4 39.1 37.6 38.3

32.5

39.2

42.2 42.4 41.3 42.3 41.5 41.7 41.5 40.5

37.8 32.8 36.9 39.4 39.0 39.7 36.2 39.2 38.9 39.9 41.6 38.7 39.0

43.5 45.8 45.5 44.2 44.6 45.2 42.9 42.9 40.8 41.6 40.0 40.8 43.1 44.7 45.4 44.6 44.7 43.3

43.7 43.2 45.8

41.6 44.7 39.9 42.6 43.7 41.4 41.3

38.7 42.4 38.0 37.4 40.2 38.9 37.5

32.8

39.5

37.9

43.0

43.9

40.4

36.4

5.8 6.4 6.1 5.5 4.7 4.1 5.3 3.4

3.0 1.3 2.6 2.9 2.4 3.5 2.0 3.8 3.6 3.9 4.0 2.2 4.0

5.1 5.5 5.3 6.4 7.2 5.8 3.8 3.6 3.5 4.6 3.7 2.8 5.5 6.3 8.0 5.9 5.9 5.0

6.3 5.1

10.4

4.9 6.7 2.6 4.7 5.2 4.3 4.8

2.6 6.1 1.9 1.7 2.0 2.1 2.2

5.9 6.6 5.5 5.9 4.9 4.7 5.5 3.8

3.2 1.2 2.4 3.5 2.0 5.2 2.2 4.1 3.9 4.0 4.4 2.7 4.3

5.0 5.7 5.6 6.2 6.7 6.0 3.7 3.6 3.4 3.8 3.9 2.9 5.0 6.2 8.2 5.7 5.9 5.4

6.2 5.1

10.1

4.6 6.3 1.8 5.1 6.2 4.0 4.6

2.3 4.8 1.7 1.4 2.0 3.5 1.8

4.3 4.6 4.1 4.3 3.8 3.3 4.3 2.9

2.9 1.3 1.9 3.3 2.6 4.1 2.3 3.5 3.3 3.7 3.5 2.6 3.7

4.7 5.2 5.1 6.1 6.5 5.9 3.7 3.5 2.9 2.9 3.1 2.8 3.8 6.1 6.7 6.0 5.7 4.3

5.6 5.1 7.7

4.0 6.4 1.9 4.6 5.0 3.9 3.8

1.9 5.4 1.3 1.4 1.4 2.1 1.2

33.3

40.1

108





Industry 1987 SIC

Code


June 1994

July 1994

May 1995

June 1995p

July 1995p


June 1994

July 1994

May 1995

June 1995p

Nondurable goods—Continued Paper and allied products—Continued

Paperboard containers and boxes Corrugated and solid fiber boxes Sanitary food containers Folding paperboard boxes


















Leather and leather products Leather tanning and finishing Footwear, except rubber



Service-producing


265 2653 2656 2657 267 2672 2673 2677

27 271 272 273 2731 2732 274 275 2752 2759 276 278 279

28 281 2819 282 2821 2824 283 2834 284 2841 2842,3 2844 285 286 2865 2869 287 289

29 291 295

30 301 302 305 3052 306 308

31 311 314 3143 3144 316 317

$11.69 11.77 11.48 12.30 11.96| 13.81 11.30 11.15

12.08 12.02 13.49 11.15 10.64 11.75 11.68 12.23 12.36 11.77 12.94 9.56

14.81

15.08 16.72 17.10 15.38 17.10 13.66 14.73 14.71 12.74 16.33 11.74 11.23 13.04 18.19 17.58 18.47 15.14 13.88

18.87 21.02 14.28

10.72 18.02 7.67

10.93 11.17 10.18 10.00

7.96 10.77 7.45 8.00 7.00 7.96 7.17

10.45

13.70

$11.80 11.91 11.41 12.42 12.06 14.02 11.48 11.22

12.12 12.05 13.31 11.22 10.69 11.81 11.74 12.32 12.41 11.92 13.07 9.52

14.75

15.16 16.86 17.26 15.34 16.98 13.78 14.88 14.84 12.61 16.13 11.79 11.11 13.02 18.18 17.93 18.36 15.55 14.25

18.94 21.07 14.38

10.75 17.93 7.58

11.14 11.47 10.25 10.03

7.98 10.76 7.50 8.00 7.07 7.92 7.20

10.46

13.81

$11.90 11.92 12.07 12.46| 12.31 14.18 11.43 11.47

12.22 12.16 13.39 11.34 10.70 12.05 11.61 12.38 12.46 12.04 12.96 9.74

15.03

15.53 17.46 17.86 15.87 17.75 13.84 15.09 14.94 12.71 15.66 11.77 11.66 12.92 19.04 18.88 19.22 15.22 14.44

19.18 21.29 14.43

10.86 17.49 8.53

10.97 11.24 10.36 10.16

8.19J 10.92 7.66 8.24 7.04 8.25 7.45

10.831

14.07

$12.02 12.02 12.11 12.72 12.27 14.07 11.29 11.43

12.25 12.12 13.60 11.69 10.77 12.71 11.60 12.39 12.46 12.11 13.04 9.64

15.00

15.52 17.29 17.43 15.91 17.60 14.01 15.12 14.95 12.70 15.72 11.88 11.54 12.94 18.98 18.88 19.15 15.48 14.47

19.15 21.30 14.69

10.90 17.69 8.39

10.97 11.28 10.43 10.20

8.13 10.82 7.63 8.26 7.00 8.15 7.43

10.78

14.08

$12.37

15.72

19.39

11.02

8.04

$10.82

14.19

$519.04 530.83 513.16 541.20 505.91 588.31 475.73 463.84

463.87 399.06 501.83 451.58 425.60 482.93 428.66 487.98 488.22 471.98 533.13 379.53 582.03

651.46 744.04 743.85 681.33 774.63 596.94 603.93 597.23 526.16 698.92 480.17 458.18 578.98 822.19 808.68 833.00 682.81 602.39

830.28 908.06 675.44

455.60 809.10 316.77 459.06 485.90 428.58 424.00

309.64 470.65 284.59 298.40 272.30 301.68 267.44

343.81

549.37

$514.48 528.80 495.19 542.75 508.93 604.26 484.46J 463.39

464.20 394.04 485.82 448.80 415.84 487.75 432.03 492.80 493.92 476.80 543.71 377.94 585.58

653.40 745.21 747.36 674.961 760.70 596.67 607.10 601.02 519.53 680.69 476.32 455.51 565.07 825.37 819.40 833.54 704.42 617.03

829.57 910.22 668.67

447.20 785.33 300.93 461.20 497.80 420.25 416.25

302.44 454.07 276.75 284.00 272.90 315.22 272.16

347.27

556.54

$500.99 505.41 498.49 528.30 505.94 592.72 468.63 465.68

464.36 401.28 486.06 461.54 429.07 497.67 427.25 486.53 484.69 480.40 536.54 382.78 589.18

670.90 794.43 810.84 704.63 796.98 624.18 632.27 625.99 512.21 632.66 469.62 471.06 552.98 856.80 862.82 861.06 677.29 618.03

828.58 921.86 629.15

451.78 794.05 336.94 462.93 488.94 427.87 417.58

315.32 467.38 288.02 308.18 275.26 310.20 285.34

351.98

551.54

$507.24 509.65 500.14 538.06 509.21 586.72 468.54 462.92

463.05 397.54 501.84 460.59 420.03 504.59 419.92 485.69 484.69 483.19 542.46 373.07 585.00

675.12 791.88 793.07 703.22 784.96 633.25 648.65 641.36 518.16 653.95 475.20 470.83 557.71 848.41 857.15 854.09 691.96 626.55

836.86 920.16 672.80

453.44 790.74 334.76 467.32 492.94 431.80 421.26

314.63 458.77 289.94 308.92 281.40 317.04 278.63

353.58

556.16


109




Industry 1987 SIC

Code


June 1994

July 1994

May 1995

June 1995p

July 1995p


June 1994

July 1994

May 1995

June 1995p

July 1995p

Transportation and public utilities—Continued Railroad transportation:

Class I railroads3

Local and interurban passenger transit Local and suburban transportation Intercity and rural bus transportation

Trucking and warehousing Trucking and courier services, except air Public warehousing and storage

Water transportation: Water transportation services





Telephone communications, except radio Radio and television broadcasting Cable and other pay television services


Wholesale trade

Durable goods Motor vehicles, parts, and supplies Furniture and home furnishings Lumber and other construction materials Professional and commercial equipment

Medical and hospital equipment Metals and minerals, except petroleum Electrical goods Hardware, plumbing, and heating equipment.., Machinery, equipment, and supplies Misc. wholesale trade durable goods

Nondurable goods Paper and paper products Drugs, proprietaries, and sundries Apparel, piece goods, and notions Groceries and related products Farm-product raw materials Chemicals and allied products Petroleum and petroleum products Beer, wine, and distilled beverages Misc. wholesale trade nondurable goods

Retail trade



4011

41 411 413

42 421 422

449

46

47 472 4724 473

48 481 4813 483 484

49 491 492 493 495

50 501 502 503 504 5047 505 506 507 508 509

51 511 512 513 514 515 516 517 518 519

52 521 523 525 526

46.4

34.6 38.8 37.3

39.8 39.8 39.9

36.4

43.8

37.3 35.8 35.8 39.0

39.6 41.2 41.4 34.6 38.9

42.4 42.8 42.4 42.1 42.4

38.5

39.1 38.4 36.9 40.4 39.3 38.2 41.2 38.7 39.2 39.6 38.0

37.7 36.0 37.3 36.7 38.8 35.8 39.9 37.8 37.0 37.3

29.3

37.0 38.9 36.6 32.8 34.1

48.0

35.6 38.4 38.6

39.6 39.5 39.9

36.1

43.4

37.3 35.7 35.7 38.9

39.9 41.7 41.9 34.5 39.0

42.3 42.5 42.1 42.4 42.5

38.4

39.0 38.8 37.0 40.5 38.8 38.0 40.7 38.6 38.9 39.7 37.9

37.7 36.6 37.4 36.4 38.9 34.9 39.6 37.9 37.2 36.9

29.8

37.0 38.9 36.6 32.8 34.0

45.5

34.8 38.5 38.0

38.6 38.5 39.7

36.1

42.7

37.4 36.4 36.3 38.3

39.5 41.0 41.0 34.6 38.7

41.9 42.0 41.8 41.8 42.5

38.1

38.6 38.0 37.2 39.9 38.6 37.9 40.6 38.2 38.7 39.0 38.0

37.3 36.2 36.7 36.9 38.4 35.1 39.3 37.3 37.0 36.7

28.7

35.8 37.5 36.3 31.8 33.8

44.6

34.3 38.5 38.1

39.4 39.4 39.7

36.5

42.6

37.6 36.6 36.5 38.7

39.7 41.3 41.4 34.7 38.9

42.2 42.2 41.9 42.5 42.5

38.3

38.9 38.3 37.6 40.1 38.9 37.8 40.7 38.4 39.0 39.3 38.2

37.6 36.5 37.4 37.5 38.4 35.9 39.2 37.8 37.5 36.8

29.2

36.2 37.8 36.7 32.5 33.6

38.5

29.7

110





Industry 1987 SIC

Code


June 1994

July 1994

May 1995

June 1995p

July 1995p


June 1994

July 1994

May 1995

June 1995p

Transportation and public utilities—Continued Railroad transportation:

Class I railroads3

Local and interurban passenger transit Local and suburban transportation Intercity and rural bus transportation

Trucking and warehousing Trucking and courier services, except air Public warehousing and storage

Water transportation: Water transportation services





Telephone communications, except radio Radio and television broadcasting Cable and other pay television services


Wholesale trade

Durable goods Motor vehicles, parts, and supplies Furniture and home furnishings Lumber and other construction materials Professional and commercial equipment

Medical and hospital equipment Metals and minerals, except petroleum Electrical goods Hardware, plumbing, and heating equipment... Machinery, equipment, and supplies Misc. wholesale trade durable goods

Nondurable goods Paper and paper products Drugs, proprietaries, and sundries Apparel, piece goods, and notions Groceries and related products Farm-product raw materials Chemicals and allied products Petroleum and petroleum products Beer, wine, and distilled beverages Misc. wholesale trade nondurable goods

Retail trade


4011

41 411 413

42 421 422

449

46

47 472 4724 473

48 481 4813 483 484

49 491 492 493 495

50 501 502 503 504 5047 505 506 507 508 509

51 511 512 513 514 515 516 517 518 519

52 521 523 525 526

$16.41

10.28 10.84 13.15

12.53 12.71 10.17

16.98

20.08

11.53 10.73 10.76 12.66

15.18 15.82 16.18 14.86 11.68

17.08 17.88 16.49 20.56 12.25

11.98

12.38 10.87 10.99 11.43 14.95 13.18 12.16 12.80 11.76 12.33 9.74

11.42 11.88 14.07 11.13 11.71 8.64

13.12 10.781 13.20J 9.52

7.46]

8.72 9.02 9.43 7.52 7.74

$16.79

10.42 10.95 13.01

12.49 12.67 10.23

17.43

19.73

11.77 11.03 11.08 12.86

15.20 15.84 16.16 14.77 11.83

17.26 18.14 16.62 20.70 12.34

12.04

12.43 10.93 10.95 11.51 14.99 13.15 12.32 12.83 11.82 12.43 9.74

11.50 12.03 14.36 11.14 11.72 8.64

13.25 10.91 13.20 9.58

7.46

8.76 9.04 9.44 7.52 7.80

$17.26

10.37 11.10 12.05

12.84 13.04 10.36

17.51

20.17

12.46 12.10 12.46 13.21

15.36 15.98 16.33 15.16| 11.96

17.59 18.49 17.06 21.21 12.66

12.32

12.74 11.15 11.26 11.69 15.35 13.41 12.60 13.27 12.03 12.79 10.11

11.71 12.14 14.60 11.57 12.14 8.93

13.23 10.96 13.23

9.70

7.65

8.95 9.27 9.79 7.68 7.97

$17.26

10.55 11.18 12.24

12.77 12.95 10.40

17.36

20.10

12.39 12.03 12.36 13.11

15.40 16.06 16.44 15.03 11.92

17.56 18.46 17.05 21.11 12.68

12.32

12.76 11.21 11.13 11.73 15.27 13.50 12.64 13.31 12.09 12.89 10.11

11.69 12.22 14.70 11.46 12.05 8.92

13.29 11.03 13.30

9.65

7.65

8.97 9.28 9.70 7.68 8.03

$12.43

7.67

$761.42

355.69 420.59 490.50

498.69 505.86 405.78

618.07

879.50

430.07 384.13 385.21 493.74

601.13 651.78 669.85 514.16 454.35

724.19 765.26 699.18 865.58 519.40

461.23

484.06 417.41 405.53 461.77 587.54 503.48 500.99 495.36 460.99 488.27 370.12

430.53 427.68 524.81 408.47 454.35 309.31 523.49 407.48 488.40 355.10

218.58

322.64 350.88 345.14 246.66 263.93

$805.92

370.95 420.48 502.19

494.60 500.47 408.18

629.22

856.28

439.02 393.77 395.56 500.25

606.48 660.53 677.10 509.57 461.37

730.10 770.95 699.70 877.68 524.45

462.34

484.77 424.08 405.15 466.16 581.61 499.70 501.42 495.24 459.80 493.47 369.15

433.55 440.30 537.06 405.50 455.91 301.54 524.70 413.49 491.04 353.50

222.31

324.12 351.66 345.50 246.66 265.20

$785.33

360.88 427.35 457.90

495.62 502.04 411.29

632.11

861.26

466.00 440.44 452.30 505.94

606.72 655.18 669.53 524.54 462.85

737.02 776.58 713.11 886.58 538.05

469.39

491.76 423.70 418.87 466.43 592.51 508.24 511.56 506.91 465.56 498.81 384.18

436.78 439.47 535.82 426.93 466.18 313.44 519.94 408.81 489.51 355.99

219.56

320.41 347.63 355.38 244.22 269.39

$769.80

361.87 430.43 466.34

503.14 510.23 412.88

633.64

856.26

465.86 440.30 451.14 507.36

611.38 663.28 680.62 521.54 463.69

741.03 779.01 714.40 897.18 538.90

471.86

496.36 429.34 418.49 470.37 594.00 510.30 514.45 511.10 471.51 506.58 386.20

439.54 446.03 549.78 429.75 462.72 320.23 520.97 416.93 498.75 355.12

223.38

324.711 350.78 355.99 249.60 269.81


I l l




Industry 1987 SIC

Code


June 1994

July 1994

May 1995

June 1995p

July 1995p


June 1994

July 1994

May 1995

June 1995p

July 1995p

Retail trade—Continued General merchandise stores

Department stores Variety stores Misc. general merchandise stores .

Food stores Grocery stores . Retail bakeries.

Automotive dealers and service stations . New and used car dealers Auto and home supply stores Gasoline service stations Automotive dealers, nee

Apparel and accessory stores Men's and boys' clothing stores . Women's clothing stores Family clothing stores Shoe stores

Furniture and home furnishings stores Furniture and home furnishings stores .... Household appliance stores Radio, television, and computer stores ....

Radio, television, and electronic stores Record and prerecorded tape stores ....

Eating and drinking places4 .

Miscellaneous retail establishments Drug stores and proprietary stores Used merchandise stores Miscellaneous shopping goods stores . Nonstore retailers Fuel dealers Retail stores, nee

Optical goods stores Miscellaneous retail stores, nee



State commercial banks National and commercial banks, nee .

Credit unions

Nondepository institutions Personal credit institutions .

Security and commodity brokers: Security and commodity services

Insurance carriers Life insurance Medical service and health insurance .

Hospital and medical service plans .. Fire, marine, and casualty insurance ...

Services

53 531 533 539

54 541 546

55 551 553 554 559

56 561 562 565 566

57 571 572 573 5731 5735

58

59 591 593 594 596 598 599 5995 5999

60 602 6022 6021,9 606

61 614

628

63 631 632 6324 633

Agricultural services


07

30.1 30.2 28.2 30.3

30.3 30.4 28.6

36.0 37.3 38.2 33.0 34.4

26.7 29.4 24.3 28.0 26.6

33.2 33.5 34.6 32.5 32.3 27.7

25.5

30.1 28.5 32.2 28.8 34.4 37.1 31.3 32.4 32.0

35.6

35.1 34.9 35.4 34.6 35.8

37.3 38.0

36.6

37.4 37.4 37.3 37.0 37.5

32.5

35.8

30.3 30.4 28.6 30.7

30.8 31.0 29.1

36.1 37.1 38.4 33.6 35.2

26.9 29.3 24.3 28.2 27.4

33.4 33.6 35.1 32.8 32.8 28.1

26.3

30.5 28.9 32.4 29.6 34.3 37.7 31.1 33.0 32.0

35.7

35.2 35.1 35.7 34.8 35.8

37.2 37.9

36.6

37.6 37.5 37.5 37.2 37.9

32.7

35.6

29.5 29.6 27.3 29.4

29.6 29.8 28.0

35.3 36.7 37.0 32.3 33.9

25.6 28.8 23.3 26.4 25.8

32.4 32.7 34.2 31.7 31.7 25.9

25.0

29.7 28.1 30.9 27.4 33.3 37.1 33.0 32.5 32.2

35.4

34.9 34.7 35.0 34.5 35.6

37.3 38.0

35.8

37.6 37.2 38.1 37.9 37.7

32.1

34.8

30.2 30.4 28.0 29.6

30.3 30.5 28.0

35.8 37.1 37.6 32.6 34.4

26.2 29.4 23.7 27.3 26.3

32.9 33.1 34.8 32.1 32.2 25.9

25.4

29.9 28.9 31.1 28.2 33.3 37.0 31.7 32.5 32.5

35.6

35.3 35.1 35.5 34.8 35.8

37.6 38.2

35.9

37.7 37.2 38.3 38.1 38.0

32.5

35.7

36.4

32.9

112





Industry 1987 SIC

Code


June 1994

July 1994

May 1995

June 1995p

July 1995p


June 1994

July 1994

May 1995

June 1995p

July 1995p

Retail trade—Continued General merchandise stores

Department stores Variety stores Misc. general merchandise stores

Food stores Grocery stores Retail bakeries

Automotive dealers and service stations ... New and used car dealers Auto and home supply stores Gasoline service stations Automotive dealers, nee

Apparel and accessory stores Men's and boys' clothing stores Women's clothing stores Family clothing stores Shoe stores

Furniture and home furnishings stores Furniture and home furnishings stores ... Household appliance stores Radio, television, and computer stores ...

Radio, television, and electronic stores Record and prerecorded tape stores ...

Eating and drinking places4

Miscellaneous retail establishments Drug stores and proprietary stores Used merchandise stores Miscellaneous shopping goods stores .... Nonstore retailers Fuel dealers Retail stores, nee

Optical goods stores Miscellaneous retail stores, nee



State commercial banks National and commercial banks, nee ...

Credit unions

Nondepository institutions Personal credit institutions

Security and commodity brokers: Security and commodity services

Insurance carriers Life insurance Medical service and health insurance

Hospital and medical service plans Fire, marine, and casualty insurance

Services

Agricultural services


53 531 533 539

54 541 546

55 551 553 554 559

56 561 562 565 566

57 571 572 573 5731 5735

58

59 591 593 594 596 598 599 5995 5999

60 602 6022 6021,9 606

61 614

628

63 631 632 6324 633

07

$7.50 7.47 7.08 8.18

7.89 7.98 7.05

10.11 12.77 8.42 6.76 10.90

7.13 8.59 6.74 6.92 7.39

9.80 9.58 9.84 10.12 10.24 6.04

5.44

8.16 8.38 6.85 7.49 8.98 11.11 8.34 10.51 8.60

11.67

9.26 8.84 8.66 8.97 9.25

12.30 10.00

15.84

13.91 13.18 13.52 13.86 14.71

10.90

8.37

$7.45 7.42 7.12 8.06

7.88 7.97 7.02

10.19 12.98 8.44 6.77 11.10

7.10 8.53 6.74 6.89 7.34

9.85 9.58 9.95 10.22 10.26 5.98

5.44

8.17 8.43 6.89 7.46 9.04

11.19 8.39 10.54 8.62

11.72

9.33 8.91 8.74 9.04 9.29

12.39 10.00

16.02

13.95 13.17 13.48 13.82 14.82

10.90

8.42

$7.52 7.52 7.37 7.55

8.12 8.20 7.29

10.29 12.86 8.70 6.92 11.35

7.47 8.87 6.99 7.39 7.67

10.10 9.71 10.08 10.66 10.72 6.35

5.57

8.43 8.83 7.10 7.78 9.01 11.42 8.51 10.86 8.97

12.24

9.60 9.16 8.99 9.28 9.54

12.42 10.22

17.17

14.76 14.36 13.88 14.21 15.71

11.34

8.78

$7.51 7.52 7.39 7.47

8.05 8.13 7.32

10.43 13.17 8.73 6.90 11.38

7.47 8.95 6.96 7.45 7.58

10.10 9.74 10.09 10.61 10.65 6.34

5.56

8.45 8.86 7.05 7.75 9.11 11.43 8.62 10.74 8.95

12.21

9.55 9.09 8.95 9.20 9.49

12.47 10.17

17.32

14.76 14.31 13.77 14.04 15.81

11.24

8.73

$12.33

11.27

$225.75 225.59 199.66 247.85

239.07 242.59 201.63

363.96 476.32 321.64 223.08 374.96

190.37 252.55 163.78 193.76 196.57

325.36 320.93 340.46 328.90 330.75 167.31

138.72

245.62 238.83 220.57 215.71 308.91 412.18 261.04 340.52 275.20

415.45

325.03 308.52 306.56 310.36 331.15

458.79 380.00

579.74

520.23 492.93 504.30 512.82 551.63

354.25

299.65

$225.74 225.57 203.63 247.44

242.70 247.07 204.28

367.86 481.56 324.10 227.47 390.72

190.99 249.93 163.78 194.30 201.12

328.99 321.89 349.25 335.22 336.53 168.04

143.07

249.19 243.63 223.24 220.82 310.07 421.86 260.93 347.82 275.84

418.40

328.42 312.74 312.02 314.59 332.58

460.91 379.00

586.33

524.52 493.88 505.50 514.10 561.68

356.43

299.75

$221.84 222.59 201.20 221.97

240.35 244.36 204.12

363.24 471.96 321.90 223.52 384.77

191.23 255.46 162.87 195.10 197.89

327.24 317.52 344.74 337.92 339.82 164.47

139.25

250.37 248.12 219.39 213.17 300.03 423.68 280.83 352.95 288.83

433.30

335.04 317.85 314.65 320.16 339.62

463.27 388.36

614.69

554.98 534.19 528.83 538.56 592.27

364.01

305.54

$226.80 228.61 206.92 221.11

243.92 247.97 204.96

373.39 488.61 328.25 224.94 391.47

195.71 263.13 164.95 203.39 199.35

332.29 322.39 351.13 340.58 342.93 164.21

141.22

252.66 256.05 219.26 218.55 303.36 422.91 273.25 349.05 290.88

434.68

337.12 319.06 317.73 320.16 339.74

468.87 388.49

621.79

556.45 532.33 527.39 534.92 600.78

365.30

311.66

$448.81

370.78

113




Industry 1987 SIC

Code


June 1994

July 1994

May 1995

June 1995p

July 1995p


June 1994

July 1994

May 1995

June 1995p

July 1995p

Services—Continued Agricultural services—Continued

Veterinary services Landscape and horticultural services

Hotels and other lodging places: Hotels and motels4

Personal services: Laundry, cleaning, and garment services Beauty shops4

Miscellaneous personal services

Business services Advertising Mailing, reproduction, and stenographic services:




Personnel supply services: Help supply services

Computer and data processing services Computer programming services Computer integrated systems design Information retrieval services Computer maintenance and repair

Miscellaneous business services Detective and armored car services Security systems services





Miscellaneous repair services

Motion pictures Motion picture production and services Video tape rental

Amusement and recreation services Bowling centers Misc. amusement and recreation services


Health services Offices and clinics of medical doctors Offices and clinics of dentists Offices and clinics of other health practitioners . Nursing and personal care facilities

Intermediate care facilities Hospitals


074 078

701

721 723 729

73 731

7334 734 7342 7349 735 7352 7353 7359

7363 737 7371 7373 7375 7378 738 7381 7382

75 751 7514 752 753 7532,4 7538 754 7542

76

78 781 784

79 793 799 7991 7997

80 801 802 804 805 8052 806

29.3 38.3

31.0

33.9 28.7 26.1

33.1 36.8

38.4 28.8 37.7 27.9 39.6 38.3 41.3 39.3

31.8 37.6 37.5 37.8 36.0 39.9 33.6 34.2 35.7

36.7 37.1 36.6 33.6 38.7 38.0 38.2 32.1 30.1

38.3

29.0 39.4 21.9

27.3 24.0 27.5 18.5 29.5

32.8 32.2 28.3 29.7 32.2 31.5 34.6

29.8 37.9

31.7

33.8 28.6 25.5

32.9 36.8

38.1 28.5 37.7 27.7 39.2 37.6 41.2 39.0

31.6 37.4 37.3 37.5 35.7 39.7 33.5 34.1 35.9

36.9 37.4 36.9 33.9 38.7 37.8 38.1 32.4 30.7

38.6

30.1 38.7 23.1

28.8 24.5 29.3 18.7 30.2

32.9 32.3 27.9 29.9 32.8 32.3 34.8

28.7 37.3

30.7

34.1 28.2 26.7

32.8 36.3

37.7 28.6 37.9 27.7 39.1 38.9 39.3 39.1

31.4 37.1 37.5 37.0 36.3 39.5 33.2 33.8 35.4

35.6 36.2 35.9 32.8 37.7 37.0 37.4 30.5 28.2

37.8

30.3 38.1 21.8

26.0 24.0 25.9 18.5 28.7

32.5 32.0 27.7 29.7 31.9 31.2 34.4

29.6 38.2

30.9

34.1 28.1 26.6

33.1 36.2

37.9 28.9 38.1 28.1 39.3 38.3 39.7 39.5

31.9 37.3 38.1 37.4 36.5 39.5 33.1 33.7 35.5

36.4 36.9 36.7 33.3 38.3 37.5 37.9 32.0 29.8

38.2

30.7 37.3 23.0

27.8 24.2 28.1 18.9 29.4

32.7 32.2 28.0 29.7 32.3 31.5 34.6

114





Industry 1987 SIC

Code


June 1994

July 1994

May 1995

June 1995p

July 1995p


June 1994

July 1994

May 1995

June 1995p

Services—Continued Agricultural services—Continued

Veterinary services Landscape and horticultural services

Hotels and other lodging places: Hotels and motels4

Personal services: Laundry, cleaning, and garment services Beauty shops4

Miscellaneous personal services

Business services Advertising Mailing, reproduction, and stenographic services:




Personnel supply services: Help supply services

Computer and data processing services Computer programming services Computer integrated systems design Information retrieval services Computer maintenance and repair

Miscellaneous business services Detective and armored car services Security systems services





Miscellaneous repair services

Motion pictures Motion picture production and services Video tape rental

Amusement and recreation services Bowling centers Misc. amusement and recreation services


Health services Offices and clinics of medical doctors Offices and clinics of dentists Offices and clinics of other health practitioners .. Nursing and personal care facilities

Intermediate care facilities Hospitals

074 078

701

721 723 729

73 731

7334 734 7342 7349 735 7352 7353 7359

7363 737 7371 7373 7375 7378 738 7381 7382

75 751 7514 752 753 7532,4 7538 754 7542

76

78 781 784

79 793 799 7991 7997

80 801 802 804 805 8052 806

$8.32 8.42

7.66

7.31 8.22 7.95

10.22 15.57

9.99 7.45 9.68 7.17 10.79 10.37 14.19 9.85

8.33 16.97 19.56 17.76 14.59 13.76 8.86 7.00 10.87

9.52 9.33 8.43 6.89 10.62 11.15 10.68 7.09 6.14

11.25

13.10 19.20 5.74

8.14 6.85 7.61 8.01 7.75

12.03 12.20 11.90 10.76 8.47 7.77 13.74

$8.41 8.47

7.60

7.35 8.17 8.04

10.29 15.52

10.03 7.52 9.82 7.23 10.75 10.39 14.18 9.76

8.37 17.09 19.75 18.15 14.80 13.90 8.94 7.06 11.08

9.53 9.33 8.44 6.96 10.63 11.18 10.66 7.08 6.22

11.25

12.67 18.95 5.67

7.83 6.87 7.33 7.93 7.72

12.11 12.27 11.96 10.76 8.51 7.81 13.87

$8.70 8.84

7.87

7.52 8.63 8.06

10.61 15.70

10.10 7.44 9.57 7.17 11.06 10.51 14.61 10.11

8.80 17.59 20.60 18.58 14.33 14.29 9.03 7.05 10.90

9.90 9.70 8.66 7.31 11.02 11.55 11.05 7.36 6.35

11.53

14.99 19.41 5.85

8.89 6.90 8.18 8.14 8.45

12.35 12.36 12.35 11.26 8.71 8.16 14.15

$8.64 8.79

7.78

7.50 8.61 8.25

10.61 15.68

9.89 7.46 9.67 7.18 11.00 10.32 14.56 10.06

8.81 17.62 20.52 18.57 14.41 14.26 9.03 7.08 10.71

9.88 9.60 8.60 7.24 11.04 11.48 11.10 7.40 6.32

11.54

13.70 18.17 5.77

8.37 6.97 7.74 8.13 8.05

12.35 12.36 12.35 11.27 8.73 8.16 14.16

$243.78 322.49

237.46

247.81 235.91 207.50

338.28 572.98

383.62 214.56 364.94 200.04 427.28 397.17 586.05 387.11

264.89 638.07 733.50 671.33 525.24 549.02 297.70 239.40 388.06

349.38 346.14 308.54 231.50 410.99 423.70 407.98 227.59 184.81

430.88

379.90 756.48 125.71

222.22 164.40 209.28 148.19 228.63

394.58 392.84 336.77 319.57 272.73 244.76 475.40

$250.62 321.01

240.92

248.43 233.66 205.02

338.54 571.14

382.14 214.32 370.21 200.27 421.40 390.66 584.22 380.64

264.49 639.17 736.68 680.63 528.36 551.83 299.49 240.75 397.77

351.66 348.94 311.44 235.94 411.38 422.60 406.15 229.39 190.95

434.25

381.37 733.37 130.98

225.50 168.32 214.77 148.29 233.14

398.42 396.32 333.68 321.72 279.13 252.26 482.68

$249.69 329.73

241.61

256.43 243.37 215.20

348.01 569.91

380.77 212.78 362.70 198.61 432.45 408.84 574.17 395.30

276.32 652.59 772.50 687.46 520.18 564.46 299.80 238.29 385.86

352.44 351.14 310.89 239.77 415.45 427.35 413.27 224.48 179.07

435.83

454.20 739.52 127.53

231.14 165.60 211.86 150.59 242.52

401.38 395.52 342.10 334.42 277.85 254.59 486.76

$255.74 335.78

240.40

255.75 241.94 219.45

351.19 567.62

374.83 215.59 368.43 201.76 432.30 395.26 578.03 397.37

281.04 657.23 781.81 694.52 525.97 563.27 298.89 238.60 380.21

359.63 354.24 315.62 241.09 422.83 430.50 420.69 236.80 188.34

440.83

420.59 677.74 132.71

232.69 168.67 217.49 153.66 236.67

403.85 397.99 345.80 334.72 281.98 257.04 489.94


115




Industry 1987 SIC

Code


June 1994

July 1994

May 1995

June 1995p

July 1995p


June 1994

July 1994

May 1995

June 1995p

July 1995p

Services—Continued Health services—Continued

Home health care services

Legal services


Membership organizations: Professional organizations

Engineering and management services Engineering and architectural services ...


Accounting, auditing, and bookkeeping .. Research and testing services

Commercial physical research Commercial nonphysical research Noncommercial research organizations


Services, nee


808

81

83 832 833 835 836 839

862

87 871 8711 8712 8713 872 873 8731 8732 8733 874 8741 8742 8743

89

28.2

34.6

31.0 31.6 30.8 29.3 31.9 30.4

35.0

37.0 39.2 39.3 38.4 39.3 36.0 36.0 38.6 28.6 36.2 35.9 35.0 35.8 31.8

39.1

28.1

34.6

31.2 31.7 30.4 29.6 32.3 30.8

34.9

37.0 39.1 39.1 38.8 38.8 36.2 36.2 38.8 28.7 36.6 35.7 34.6 35.6 31.7

38.8

28.6

34.4

31.0 31.2 31.1 29.5 31.7 31.7

35.0

36.8 38.6 38.7 38.1 37.6 36.3 35.8 38.8 28.4 36.2 35.9 34.7 35.5 33.9

37.4

28.6

34.7

31.2 31.4 31.3 30.2 31.9 31.3

34.7

37.1 39.0 39.1 38.5 37.8 36.3 36.0 39.2 28.9 36.2 36.4 36.2 35.5 33.1

37.3

116





Industry 1987 SIC

Code


June 1994

July 1994

May 1995

June 1995p

July 1995p


June 1994

July 1994

May 1995

June 1995p

Services—Continued Health services—Continued

Home health care services

Legal services


Membership organizations: Professional organizations

Engineering and management services Engineering and architectural services ...


Accounting, auditing, and bookkeeping .. Research and testing services

Commercial physical research Commercial nonphysical research Noncommercial research organizations


Services, nee

808

81

83 832 833 835 836 839

862

87 871 8711 8712 8713 872 873 8731 8732 8733 874 8741 8742 8743

89

$10.61

15.50

8.06 8.61 7.84 6.76 8.24 9.45

15.35

15.15 16.38 17.06 14.89 11.71 13.21 16.11 18.46 11.97 17.66 14.07 12.88 16.34 13.56

14.48

$10.71

15.53

8.08 8.60 7.83 6.69 8.30 9.31

15.53

15.26 16.45 17.16 14.90 11.67 13.39 16.20 18.53 11.88 17.76 14.21 13.03 16.43 13.52

14.57

$10.84

15.97

8.31 8.81 8.21 7.02 8.48 9.76

15.79

15.67 17.18 17.90| 15.44 12.36 13.98 16.36 18.79 12.30 18.15 14.441 13.08 16.81 13.82

14.87

$10.84

16.01

8.29 8.79 8.14 6.97 8.46 9.92

15.86

15.54 16.96 17.67 15.24 12.21 13.94 16.19 18.70 11.82 18.14 14.37 12.95 16.75 13.86

14.76

$299.20

536.30

249.86 272.08 241.47 198.07 262.86 287.28

537.25

560.55 642.10 670.46 571.78 460.20 475.56 579.96 712.56 342.34 639.29 505.11 450.80 584.97 431.21

566.17

$300.95

537.34

252.10 272.62 238.03 198.02 268.09 286.75

542.00

564.62 643.20 670.96 578.12 452.80 484.72 586.44 718.96 340.96 650.02 507.30 450.84 584.91 428.58

565.32

$310.02

549.37

257.61 274.87 255.33 207.09 268.82 309.39

552.65

576.66 663.15 692.73 588.26 464.74 507.47 585.69 729.05 349.32 657.03 518.40 453.88 596.76 468.50

556.14

$310.02

555.55

258.65 276.01 254.78 210.49 269.87 310.50

550.34

576.53 661.44 690.90 586.74 461.54 506.02 582.84 733.04 341.60 656.67 523.07 468.79 594.63 458.77

550.55 1 Data relate to production workers in mining and manufacturing;

construction workers in construction; and nonsupervisory workers in transportation and public utilities; wholesale and retail trade; finance, insurance, and real estate; and services.

2 See table EM 5a for average hourly earnings in aircraft (SIC 3721) and guided missiles and space vehicles (SIC 3761) manufacturing.

3 Data relate to line-haul railroads with operating revenues of $50,000,000 or more.

4 Money payments only; tips, not included. 5 Excludes nonoffice commissioned real estate sales agents. - Data not available. p = preliminary. NOTE: Establishment survey estimates are currently projected from

March 1994 benchmark levels. When more recent benchmark data are introduced, all unadjusted data from April 1994 forward are subject to revision.

117


A Note on Average Hourly Earnings in Aircraft (SIC 3721) and Guided Missiles and Space Vehicles (SIC 3761) Manufacturing

For many years, the Bureau of Labor Statistics average hourly earning series for production workers in aircraft manufacturing (SIC 3721) and guided missiles and space vehicles manufacturing (SIC 3761) have been used to escalate labor costs in contracts between aerospace companies and their customers. Although the Bureau's series by definition take account of traditional wage rate changes, they do not capture "lump-sum payments to workers in lieu of general wage increases" which were negotiated in aerospace manufacturers' collective bargaining agreements beginning in late 1983.

Because of special circumstances in the aerospace

industry, BLS has calculated average hourly earnings series for SIC 3721 and SIC 3761 which include lump-sum payments. These series, beginning in October 1983, the effective date of the first aerospace bargaining agreement using lump-sum payments, were published in the June 1988 issue ofEmployment and Earnings. Current and year earlier data are presented in table B-15a along with the average hourly earnings series produced as part of the Current Employment Statistics program. An explanation of the methodology used to derive these series appears in the Explanatory Notes of this publication.

B-15a. Average hourly earnings in aircraft (SIC 3721) and guided missiles and space vehicles (SIC 3761) manufacturing

Series

Average hourly earnings, excluding lump-sum payments

Average hourly earnings, including lump-sum payments

p = preliminary.

Aircraft (SIC 3721)

May 1994

$19.33

19.37

June 1994

$19.44

19.48

May 1995

$19.92

19.95

June 1995p

$20.00

20.04

Guided missiles and space vehicles (SIC 3761)

May 1994

$18.03

18.11

June 1994

$18.03

18.11

May 1995

$18.42

18.49

June 1995p

$18.46

18.52

118


ESTABLISHMENT DATA EARNINGS


B-16. Average hourly earnings, excluding overtime,1 of production workers on manufacturing payrolls

Industry June 1994

July 1994

May 1995

June 1995p

Manufacturing



$11.39

11.93 9.31 9.09

11.35 13.32 11.23 12.20 10.97 15.33 11.96 9.27

10.66 10.07 19.98 8.59 7.12

12.88 11.62 14.25 17.61 10.14 7.70

$11.42

11.95 9.34 9.14

11.38 13.42 11.23 12.21 11.01 15.53 12.00 9.29

10.71 10.03 19.70 8.65 7.12

12.97 11.63 14.33 17.69 10.19 7.75

$11.69

12.18 9.55 9.41

11.59 13.57 11.46 12.42 11.05 15.57 12.19 9.66

11.00 10.35 19.80 8.91 7.39

13.39 11.77 14.73 18.00 10.35 7.98

$11.70

12.19 9.62 9.45

11.58 13.66 11.44 12.43 11.07 15.63 12.20 9.62

11.01 10.31 20.01 8.93 7.42

13.38 11.83 14.68 17.96 10.40 7.91

1 Derived by assuming that overtime hours are paid at the rate of time and one-half.

2 Not available. p = preliminary.

NOTE: Establishment survey estimates are currently projected from March 1994 benchmark levels. When more recent benchmark data are introduced, all unadjusted data from April 1994 forward are subject to revision.

119


ESTABLISHMENT DATA EARNINGS NOT SEASONALLY ADJUSTED

B-17. Average hourly and weekly earnings of production or nonsupervisory workers1 on private nonfarm payrolls by major industry, in current and constant (1982) dollars

Industry


June 1994

July 1994

May 1995

June 1995p

July 1995p


June 1994

July 1994

May 1995

June 1995p

Total private: Current dollars Constant (1982) dollars .

Mining: Current dollars Constant (1982) dollars .

Construction: Current dollars Constant (1982) dollars .

Manufacturing: Current dollars Constant (1982) dollars .

Transportation and public utilities: Current dollars Constant (1982) dollars

Wholesale trade: Current dollars Constant (1982) dollars ,

Retail trade: Current dollars Constant (1982) dollars ,

Finance, insurance, and real estate: Current dollars Constant (1982) dollars

Services: Current dollars Constant (1982) dollars

$11.03 7.35

14.74 9.82

14.59 9.72

12.03 8.01

13.70 9.13

11.98 7.98

7.46 4.97

11.67 7.77

10.90 7.26

$11.05 7.34

14.73 9.79

14.75 9.80

12.04 8.00

13.81 9.18

12.04 8.00

7.46 4.96

11.72 7.79

10.90 7.24

$11.38 7.37

15.21 9.85

14.96 9.69

12.28 7.95

14.07 9.11

12.32 7.98

7.65 4.95

12.24 7.93

11.34 7.34

$11.36 7.34

15.24 9.85

14.99 9.69

12.30 7.95

14.08 9.10

12.32 7.96

7.65 4.95

12.21 7.89

11.24 7.27

$11.41 (2)

$15.30 (2)

$15.09 (2)

$12.40 (2)

$14.19

$12.43 (2)

$7.67 (2)

$12.33 (2)

$11.27 (2)

$383.84 255.72

661.83 440.93

579.22 385.89

507.67 338.22

549.37 366.00

461.23 307.28

218.58 145.62

415.45 276.78

354.25 236.01

$386.75 256.98

661.38 439.46

587.05 390.07

500.86 332.80

556.54 369.79

462.34 307.20

222.31 147.71

418.40 278.01

356.43 236.83

$390.33 252.80

673.80 436.40

574.46 372.06

508.39 329.27

551.54 357.22

469.39 304.01

219.56 142.20

433.30 280.63

364.01 235.76

$393.06 254.08

684.28 442.33

593.60 383.71

511.68 330.76

556.16 359.51

471.86 305.02

223.38 144.40

434.68 280.98

365.30 236.13

1 Data relate to production workers In mining and manufacturing; construction workers in construction; and nonsupervisory workers in transportation and public utilities; wholesale and retail trade; finance, insurance, and real estate; and services.

2 Not available. p = preliminary.

NOTE: The Consumer Price Index for Urban Wage Earners and Clerical Workers (CPI-W) is used to deflate the earnings series. Establishment survey estimates are currently projected from March 1994 benchmark levels. When more recent benchmark data are introduced, all unadjusted data from April 1994 forward are subject to revision.

120


ESTABLISHMENT DATA STATE AND AREA HOURS AND EARNINGS


B-18. Average hours and earnings of production workers on manufacturing payrolls in States and selected areas

State and area


June 1994

May 1995

June 1995"


June 1994

May 1995

June 1995P


June 1994

May 1995

Alabama Birmingham Mobile

Alaska

Arizona



Colorado Denver


Delaware Wilmington-Newark

District of Columbia:

Washington PMSA

Florida

Georgia Atlanta Savannah

Hawaii

Honolulu

Idaho


Indiana Bloomington Elkhart-Goshen Evansville-Henderson Fort Wayne

42.2 42.3 42.0

40.4

42.4

42.6 42.0 43.3 43.1 43.3

41.4 40.0 41.0 42.0 40.6 42.3 41.3 41.4 40.2 38.6 40.5 39.6 41.0 41.9 39.7 41.5 39.0 41.2

41.1 41.7

43.1 42.5 43.1 43.5 42.5 43.2 42.2 44.5

43.7 44.9

39.9

41.3

42.7 42.2 47.5

37.8 37.7

39.6

42.2 43.5 40.9 42.1 42.4 44.0 42.5 41.6 41.5 39.8

42.9 39.3 41.1 45.2 42.4

40.9 42.4 41.0

43.4

41.4

40.8 39.8 42.3 41.7 40.3

41.3 40.6 42.0 41.7 40.2 41.7 41.8 41.1 40.7 38.7 39.9 39.8 41.8 40.1 39.2 41.4 39.0 41.0

40.6 40.7

42.8 42.7 43.3 43.1 41.4 43.7 40.9 43.5

39.8 40.2

40.9

42.4 42.2 44.4

37.1 39.4

38.9

41.2 43.6 41.5 41.5 42.4 42.5 42.2 40.6 42.1 40.4

41.9 38.1 38.6 42.6 42.2

41.6 42.2 43.5

40.0

41.3

41.5 41.1 42.7 42.1 40.2

41.2 42.7 41.3 41.6 39.9 41.9 41.7 41.1 40.7 39.6 40.4 40.1 41.6 41.9 39.1 41.0 40.2 41.4

41.0 42.2

42.8 42.5 43.1 43.4 41.2 43.4 41.2 43.4

41.3 42.2

41.6

43.0 43.6 46.0

37.5 39.9

39.7

41.4 43.0 41.5 41.5 42.3 43.6 42.0 40.7 41.6 40.2

41.9 38.6 39.2 42.9 41.3

$10.75 11.54 13.00

11.87

11.24

9.67 9.48 9.66

10.52 11.04

12.44 12.88 10.79 11.72 12.20 15.42 12.56 11.33 13.16 12.88 12.42 13.68 15.01 12.83 13.77 12.47 14.31 11.84

12.29 12.68

13.46 13.86 13.05 14.08 12.80 14.15 12.88 12.02

13.98 16.45

13.25

9.97

10.30 11.42 13.45

12.24 12.59

11.89

12.25 16.50 10.44 12.18 13.95 15.22 13.20 15.17 13.51 11.81

13.44 12.18 11.23 13.14 13.67

$11.07 11.92 12.94

11.91

11.24

9.99 9.50 9.87

10.64 10.84

12.53 12.97 10.80 11.79 12.53 15.47 12.54 11.37 13.50 13.47 12.53 14.01 15.20 12.71 14.09 12.40 14.84 12.00

12.60 12.70

13.60 13.95 13.20 13.83 12.87 14.18 13.39 12.67

13.93 16.17

13.76

10.04

10.54 11.45 13.73

12.96 13.26

11.52

12.59 16.95 10.68 12.55 14.45 14.92 13.80 15.09 14.02 11.85

13.77 10.93 11.05 13.38 13.39

$11.13 11.91 13.12

12.15

11.30

10.10 9.43 9.93

10.78 10.97

12.59 12.91 10.82 11.84 12.55 15.49 12.62 11.39 13.57 13.25 12.48 14.07 15.33 12.32 14.18 12.51 14.61 11.97

12.68 12.88

13.62 14.12 13.30 13.82 12.88 14.15 13.28 12.73

13.48 16.14

13.57

10.03

10.70 11.74 14.01

12.95 13.39

11.61

12.65 17.04 10.71 12.58 14.51 14.93 13.87 15.22 13.93 11.98

13.73 10.89 11.23 13.26 13.31

$453.65 488.14 546.00

479.55

476.58

411.94 398.16 418.28 453.41 478.03

515.02 515.20 442.39 492.24 495.32 652.27 518.73 469.06 529.03 497.17 503.01 541.73 615.41 537.58 546.67 517.51 558.09 487.81

505.12 528.76

580.13 589.05 562.46 612.48 544.00 611.28 543.54 534.89

610.93 738.61

528.68

411.76

439.81 481.92 638.88

462.67 474.64

470.84

516.95 717.75 427.00 512.78 591.48 669.68 561.00 631.07 560.67 470.04

576.58 478.67 461.55 593.93 579.61

$452.76 505.41 530.54

516.89

465.34

407.59 378.10 417.50 443.69 436.85

517.49 526.58 453.60 491.64 503.71 645.10 524.17 467.31 549.45 521.29 499.95 557.60 635.36 509.67 552.33 513.36 578.76 492.00

511.56 516.89

582.08 595.67 571.56 596.07 532.82 619.67 547.65 551.15

554.41 650.03

535.26

410.64

446.90 483.19 609.61

480.82 522.44

448.13

518.71 739.02 443.22 520.83 612.68 634.10 582.36 612.65 590.24 478.74

576.96 416.43 426.53 569.99 565.06


121


ESTABLISHMENT DATA STATE AND AREA HOURS AND EARNINGS NOT SEASONALLY ADJUSTED

B-18. Average hours and earnings of production workers on manufacturing payrolls in States and selected areas—Continued

State and area


June 1994

May 1995

June 1995P


June 1994

May 1995

June 1995P


June 1994

May 1995

June 1995?

Indiana-Continued Gary Indianapolis Kokomo Lafayette Muncie South Bend Terre Haute

Iowa Cedar Rapids Des Moines Dubuque Sioux City

Kansas Topeka Wichita

Kentucky Lexington Louisville

Louisiana Baton Rouge New Orleans Shreveport-Bossier City


Maryland Baltimore PMSA

Massachusetts Boston Springfield Worcester

Michigan Ann Arbor Detroit Flint Grand Rapids-Muskegon-Holland Jackson Kalamazoo-Battle Creek Lansing-East Lansing Saginaw-Bay City-Midland

Minnesota Duluth-Superior Minneapolis-St. Paul St. Cloud

Mississippi Jackson


Montana


Nevada Las Vegas



38.6 43.8 48.3 43.2 46.0 41.9 43.9

42.5 40.8 41.8 42.0 40.5

41.8 41.7 41.2

41.9 44.5 41.8

43.6 43.2 44.1 44.3

40.1 39.3 39.7

41.7 42.1

41.9 41.5 41.7 41.7

44.6 45.1 46.0 48.4 42.6 42.7 44.5 45.8 46.5

41.4 39.9 41.7 40.7

42.1 41.3

42.3 43.3 42.8 41.3

39.1

42.5 42.3 41.0

42.2 40.6

41.7 42.6 40.1 39.5

38.9 43.6 44.9 42.9 42.6 41.9 43.3

41.7 40.3 41.3 41.3 40.9

41.3 40.7 41.5

41.4 42.5 42.2

42.0 43.1 41.1 41.8

39.7 38.3 37.7

41.1 41.8

41.8 41.3 41.7 42.1

44.5 44.3 45.3 48.1 41.7 41.9 43.0 44.8 47.1

41.4 38.8 41.0 39.3

40.1 40.2

41.3 42.7 44.4 40.8

39.6

41.4 41.3 40.4

41.0 39.2

41.2 41.4 40.3 37.9

36.7 43.0 45.0 43.1 44.7 41.9 44.9

41.6 40.2 41.4 42.5 39.7

41.3 40.1 41.4

41.2 42.7 42.2

42.8 43.6 43.4 42.9

39.9 38.7 37.9

41.3 41.7

41.9 41.1 41.8 42.3

44.5 44.2 44.9 48.4 42.0 41.8 43.3 45.3 46.9

41.5 40.2 41.1 39.9

40.8 40.4

41.5 42.5 43.9 40.5

39.7

42.0 41.4 41.6

41.3 41.0

41.5 42.1 41.0 40.4

$17.53 14.86 19.01 14.92 14.58 11.87 13.63

12.43 15.13 12.83 13.01 10.13

12.07 14.14 13.77

11.75 12.95 13.62

13.06 15.60 13.46 13.76

11.96 10.11 10.61

13.02 13.61

12.55 13.30 12.15 11.95

16.10 16.50 17.18 22.03 13.26 11.65 15.09 18.03 18.18

12.59 11.85 13.32 11.20

9.41 10.12

11.59 13.71 13.51 10.09

12.46

10.84 12.19 11.52

11.51 13.13

11.70 11.77 15.34 11.16

$18.37 14.91 19.67 13.92 14.64 12.57 13.89

12.62 15.22 12.74 13.48 10.76

12.45 14.40 14.32

12.29 13.32 14.10

13.43 15.68 14.20 14.13

12.31 10.06 11.15

13.34 13.76

12.69 13.48 12.37 12.37

16.23 16.58 17.40 21.56 13.65 12.34 14.78 17.92 18.41

12.75 12.02 13.62 12.10

9.66 10.43

12.10 13.95 14.19 10.17

12.73

11.12 12.41 12.03

12.79 14.81

11.80 11.79 14.44 11.89

$19.54 14.88 19.77 14.07 14.77 12.46 13.66

12.55 15.23 12.85 13.21 10.53

12.43 14.53 14.31

12.29 13.31 14.03

13.45 16.07 14.05 14.15

12.27 10.06 11.13

13.38 13.90

12.67 13.53 12.40 12.37

16.29 16.71 17.53 21.65 13.53 12.36 15.25 18.02 18.41

12.83 11.77 13.65 11.78

9.67 10.46

12.12 13.96 14.12 10.24

12.89

11.15 12.39 12.01

12.82 15.26

11.98 12.01 14.54 12.14

$676.66 650.87 918.18 644.54 670.68 497.35 598.36

528.28 617.30 536.29 546.42 410.27

504.53 589.64 567.32

492.33 576.28 569.32

569.42 673.92 593.59 609.57

479.60 397.32 421.22

542.93 572.98

525.85 551.95 506.66 498.32

718.06 744.15 790.28

1066.25 564.88 497.45 671.50 825.77 845.37

521.23 472.82 555.44 455.84

396.16 417.96

490.26 593.64 578.23 416.72

487.19

460.70 515.64 472.32

485.72 533.08

487.89 501.40 615.13 440.82

$714.59 650.08 883.18 597.17 623.66 526.68 601.44

526.25 613.37 526.16 556.72 440.08

514.19 586.08 594.28

508.81 566.10 595.02

564.06 675.81 583.62 590.63

488.71 385.30 420.36

548.27 575.17

530.44 556.72 515.83 520.78

722.23 734.49 788.22

1037.04 569.20 517.05 635.54 802.82 867.11

527.85 466.38 558.42 475.53

387.37 419.29

499.73 595.67 630.04 414.94

504.11

460.37 512.53 486.01

524.39 580.55

486.16 488.11 581.93 450.63

$717.12 639.84 889.65 606.42 660.22 522.07 613.33

522.08 612.25 531.99 561.43 418.04

513.36 582.65 592.43

506.35 568.34 592.07

575.66 700.65 609.77 607.04

489.57 389.32 421.83

552.59 579.63

530.87 556.08 518.32 523.25

724.90 738.58 787.10

1047.86 568.26 516.65 660.32 816.31 863.43

532.45 473.15 561.02 470.02

394.54 422.58

502.98 593.30 619.87 414.72

511.73

468.30 512.95 499.62

529.47 625.66

497.17 505.62 596.14 490.46

122


ESTABLISHMENT DATA STATE AND AREA HOURS AND EARNINGS


B-18. Average hours and earnings of production workers on manufacturing payrolls in States and selected areas—Continued

State and area


June 1994

May 1995

June 1995P


June 1994

May 1995

June 1995P


June 1994

May 1995

June 1995^

New Jersey

New Mexico Albuquerque

New York Albany-Schenectady-Troy Binghamton Buffalo-Niagara Falls Dutchess County Elmira Nassau-Suffolk New York PMSA New York City Newburgh Rochester Rockland County Syracuse Utica-Rome Westchester County


North Dakota Fargo-Moorhead


Oklahoma Oklahoma City Tulsa


Pennsylvania A!lentown-Bethlehem-Ea8ton Altoona Erie Harri8burg-Lebanon-Carli8le Johnstown Lancaster Philadelphia PMSA Pittsburgh Reading Scranton—Wilkes-Barre—Hazleton Sharon State College William8port York


42.3

41.2 41.3

41.2 40.5 45.4 43.4 40.2 42.6 40.1 38.7 38.1 42.7 43.4 44.1 44.0 41.6 42.5

41.7 41.8 41.9 40.9 41.8

43.3 43.8

43.7 43.9 42.1 43.5 43.8 42.1 45.7 46.4 43.4 44.1 42.5 44.2 45.1

43.1 43.5 42.6

40.5 40.1 41.4 40.9 38.1

41.7 40.1 42.3 44.3 40.5 40.7 40.8 41.4 42.7 42.4 40.1 44.8 40.8 42.7 42.5

41.8

40.0 40.1

40.8 40.0 41.7 43.8 38.8 42.2 39.7 38.4 38.0 41.0 42.8 43.4 43.2 40.2 40.9

40.1 40.5 40.4 39.6 41.6

41.4 40.3

43.4 43.0 41.9 43.5 43.6 42.8 44.9 44.5 44.5 44.0 45.0 44.0 44.6

41.6 41.8 41.7

40.1 39.6 40.6 40.9 38.5

41.2 40.3 39.6 43.1 40.0 40.6 39.7 41.1 42.7 41.5 39.7 41.7 41.5 41.1 42.1

42.1

40.1 40.3

40.9 41.0 41.5 43.6 40.7 43.4 39.5 38.2 37.8 40.2 42.6 42.7 43.7 40.8 41.2

40.5 41.1 40.5 40.0 41.9

41.5 41.2

43.4 42.4 41.7 43.7 43.6 42.4 44.6 44.7 44.5 43.7 45.2 44.0 44.1

41.8 42.3 40.7

40.0 40.4 40.8 40.9 38.4

41.3 40.0 40.3 43.0 40.4 41.0 39.8 41.3 42.9 41.4 39.6 40.6 41.7 41.4 42.0

$13.30

10.04 10.38

12.15 13.52 9.73

15.21 11.44 11.21 11.45 10.99 10.67 10.72 13.90 13.84 12.97 10.97 12.56

10.18 10.03 10.81 10.70 10.92

10.29 9.68

14.44 12.40 12.54 13.21 14.24 13.35 16.02 15.90 15.43 14.92 16.33 15.36 17.18

11.54 13.07 12.08

12.20 12.44 11.61 12.68 10.34

12.41 11.91 10.87 13.15 11.83

9.43 12.34 13.50 13.58 12.88 11.18 12.77 10.38 10.86 12.53

$13.52

10.82 11.10

12.44 14.04 10.26 15.72 11.55 11.54 11.68 11.17 10.87 10.58 14.25 14.27 13.41 11.15 12.60

10.53 10.01 11.11 10.89 11.26

10.75 10.10

14.35 12.01 12.89 13.75 14.04 13.20 15.77 16.30 15.41 14.64 16.89 16.09 15.76

11.46 12.52 12.00

12.70 12.52 11.86 12.81 11.21

12.70 12.30 10.64 12.60 12.14 9.46

12.67 13.62 14.16 13.28 11.17 12.91 10.77 10.82 12.60

$13.50

10.79 11.03

12.43 13.99 10.17 15.76 11.39 11.56 11.54 11.22 10.93 10.48 14.33 14.23 13.27 11.20 12.56

10.56 10.02 11.12 10.99 11.28

10.47 10.06

14.38 11.88 12.68 13.81 14.05 13.19 15.95 16.46 15.56 14.71 17.21 16.25 15.73

11.51 12.61 11.85

12.63 12.71 12.11 12.72 10.83

12.75 12.40 10.68 12.50 12.41

9.52 12.69 13.71 14.10 13.34 11.16 12.97 10.91 10.62 12.78

$562.59

413.65 428.69

500.58 547.56 441.74 660.11 459.89 477.55 459.15 425.31 406.53 457.74 603.26 610.34 570.68 456.35 533.80

424.51 419.25 452.94 437.63 456.46

445.56 423.98

631.03 544.36 527.93 574.64 623.71 562.04 732.11 737.76 669.66 657.97 694.03 678.91 774.82

497.37 568.55 514.61

494.10 498.84 480.65 518.61 393.95

517.50 477.59 459.80 582.55 479.12 383.80 503.47 556.90 579.87 546.11 448.32 572.10 423.50 463.72 532.53

$565.14

432.80 445.11

507.55 561.60 427.84 688.54 448.14 486.99 463.70 428.93 413.06 433.78 609.90 619.32 579.31 448.23 515.34

422.25 405.41 448.84 431.24 468.42

445.05 407.03

622.79 516.43 540.09 598.13 612.14 564.96 708.07 725.35 685.75 644.16 760.05 707.96 702.90

476.74 523.34 500.40

509.27 495.79 481.52 523.93 431.59

523.24 495.69 421.34 543.06 485.60 384.08 503.00 559.78 604.63 551.12 443.45 538.35 446.96 444.70 530.46

$568.35

432.68 444.51

508.39 573.59 422.06 687.14 463.57 501.70 455.83 428.60 413.15 421.30 610.46 607.62 579.90 456.96 517.47

427.68 411.82 450.36 439.60 472.63

434.51 414.47

624.09 503.71 528.76 603.50 612.58 559.26 711.37 735.76 692.42 642.83 777.89 715.00 693.69

481.12 533.40 482.30

505.20 513.48 494.09 520.25 415.87

526.58 496.00 430.40 537.50 501.36 390.32 505.06 566.22 604.89 552.28 441.94 526.58 454.95 439.67 536.76

123


ESTABLISHMENT DATA STATE AND AREA HOURS AND EARNINGS NOT SEASONALLY ADJUSTED

B-18. Average hours and earnings of production workers on manufacturing payrolls in States and selected areas—-Continued

State and area


June 1994

May 1995

June 1995P


June 1994

May 1995

June 1995P


June 1994

May 1995

Rhode Island

Providence-Fall River-Warwick

South Carolina



Texas Dallas Ft. Worth-Arlington Houston San Antonio

Utah Salt Lake City-Ogden

Vermont Burlington

Virginia Bristol Charlottesville Danville Lynchburg Northern Virginia R ichmond-Petersburg Roanoke

Washington



Wyoming

Puerto Rico

Virgin Islands

41.6 40.6

42.0

41.8 40.9 41.7

41.2 42.2 37.9 39.3 41.5 40.9

43.4 43.3 42.8 44.4 42.4

40.6 41.2

40.6 36.7

42.1 45.0 37.3 44.8 42.9 41.7 43.5 42.1

40.5

41.1 47.9 43.4 42.4 40.7

42.6 43.7 45.9 42.5 46.4 40.7 42.7 41.6 41.7 41.3 42.1 43.1

39.9

40.0

42.2

40.5 40.2

41.8

41.3 41.4 43.6

40.4 39.6 39.5 38.3 40.0 41.0

42.7 42.7 42.7 44.0 42.4

39.4 40.5

40.1 36.3

41.4 41.9 40.0 42.9 38.3 41.0 42.7 41.2

41.3

42.3 47.0 41.3 44.8 40.4

41.9 43.2 46.3 44.1 45.4 40.7 39.5 39.6 41.8 39.6 41.5 44.4

38.3

39.5

41.6

41.0 40.6

41.9

40.8 40.1 42.4

40.4 39.8 39.7 38.4 40.1 41.4

42.9 43.5 43.0 43.9 42.8

39.8 40.8

40.4 37.6

42.1 40.6 41.2 41.4 43.6 41.2 42.9 42.1

41.0

42.1 47.4 42.3 42.3 41.8

41.8 43.7 46.0 43.7 45.6 41.0 40.0 39.0 41.2 39.6 41.3 45.2

39.2

40.2

41.5

$10.25 10.54

9.99

9.02 9.51 9.89

10.53 9.94

10.96 10.27 10.82 11.49

11.13 10.94 12.54 13.46 8.90

11.19 11.42

11.87 11.68

11.19 10.54 10.01 11.27 10.85 11.89 14.51 12.21

14.32

12.57 14.46 14.69 15.16 15.05

12.31 13.40 12.76 13.04 16.49 13.26 10.11 11.57 13.28 12.80 12.57 11.72

11.92

7.15

15.18

$10.60 10.71

10.13

9.56 9.55

10.01

10.65 10.88 10.71 10.81 11.19 11.47

11.35 11.16 12.30 13.94 9.30

11.54 11.92

12.13 11.64

11.71 10.14 10.05 11.58 11.47 12.27 14.78 12.52

14.44

12.55 14.23 14.41 15.70 15.17

12.72 13.91 13.24 13.86 16.66 13.82 10.33 12.08 13.79 12.96 12.55 12.05

11.88

7.36

15.66

$10.57 10.64

10.13

9.51 9.52 9.91

10.76 10.70 10.85 10.97 11.22 11.39

11.37 11.12 12.36 13.78 9.31

11.43 11.85

12.21 11.69

11.66 9.87

10.03 11.28 11.24 12.16 15.01 12.40

14.53

12.51 14.13 14.24 15.29 15.80

12.58 13.53 12.94 13.67 16.57 13.68 10.57 11.78 13.57 12.98 12.39 12.02

12.01

7.39

15.67

$426.40 427.92

419.58

377.04 388.96 412.41

433.84 419.47 415.38 403.61 449.03 469.94

483.04 473.70 536.71 597.62 377.36

454.31 470.50

481.92 428.66

471.10 474.30 373.37 504.90 465.47 495.81 631.19 514.04

579.96

516.63 692.63 637.55 642.78 612.54

524.41 585.58 585.68 554.20 765.14 539.68 431.70 481.31 553.78 528.64 529.20 505.13

475.61

286.00

640.60

$429.30 430.54

423.43

394.83 395.37 436.44

430.26 430.85 423.05 414.02 447.60 470.27

484.65 476.53 525.21 613.36 394.32

454.68 482.76

486.41 422.53

484.79 424.87 402.00 496.78 439.30 503.07 631.11 515.82

596.37

530.87 668.81 595.13 703.36 612.87

532.97 600.91 613.01 611.23 756.36 562.47 408.04 478.37 576.42 513.22 520.83 535.02

455.00

290.72

651.46

p = preliminary. NOTE: Area definitions are published annually in the May issue of this

publication. All State and area data have been adjusted to March 1994 benchmarks.

124


HOUSEHOLD DATA REGIONS AND DIVISIONS SEASONALLY ADJUSTED

C-1. Employment status of the civilian population for census regions and divisions, seasonally adjusted1


Census region and division

1994


1995

Jan. Feb. Mar. Apr. May. June July

NORTHEAST


Civilian labor force Employed Unemployed Unemployment rate

New England



Middle Atlantic



SOUTH



South Atlantic



East South Central



West South Central




39,553 25,528 23,859

1,669 6.5

10,233 7,002 6,573

429 6.1

29,320 18,526 17,286 1,240

6.7

68,648 45,208 42,556

2,652 5,9

35,524 23,334 22,041

1,293 5.5

12,115 7,726 7,298

428 5.5

21,009 14,149 13,217

931 6.6

39,560 25,410 23,786

1,624 6.4

10,236 6,959 6,535

424 6.1

29,324 18,452 17,252 1,200

6.5

68,736 45,332 42,726

2,606 5.7

35,570 23,424 22,187

1,237 5.3

12,129 7,772 7,334

439 5.6

21,037 14,136 13,206

931 6.6

39,565 25,335 23,771

1,564 6.2

10,237 6,951 6,573

378 5.4

29,328 18,384 17,198

1,186 6.5

68,830 45,535 42,930

2,605 5.7

35,616 23,610 22,296

1,314 5.6

12,145 7,809 7,396

413 5.3

21,069 14,116 13,238

878 6.2

39,574 25,313 23,743

1,570 6.2

10,240 6,945 6,543

402 5.8

29,334 18,369 17,201

1,168 6.4

68,923 45,714 43,105

2,609 5.7

35,665 23,640 22,363

1,277 5.4

12,159 7,946 7,502

444 5.6

21,099 14,128 13,239

888 6.3

39,580 25,250 23,707

1,543 6.1

10,242 6,988 6,589

398 5.7

29,338 18,263 17,118 1,145

6.3

69,011 45,976 43,428

2,548 5.5

35,712 23,827 22,541

1,287 5.4

12,173 7,913 7,505

408 5.2

21,126 14,236 13,382

854 6.0

39,580 25,3561 23,897

1,459 5.8

10,241 7,000 6,623

377 5.4

29,339 18,357 17,275

1,082 5.9

69,092 45,847 43,368

2,479 5.4

35,754 23,680 22,455

1,225 5.2

12,185 8,071 7,665

406 5.0

21,153 14,096: 13,247

849 6.0

39,572 25,290 23,756

1,534 6.1

10,239 7,050 6,651

400 5.7

29,333 18,239 17,105

1,135 6.2

69,160 45,868 43,424

2,445 5.3

35,789 23,629 22,443

1,186 5.0

12,196 8,014 7,546

467 5.8

21,175 14,226 13,434

792 5.6

39,571 25,400 23,900

1,500 5.9

10,241 7,069 6,661

408 5.8

29,330 18,331 17,239

1,092 6.0

69,233 45,640 43,427

2,213 4.8

35,827 23,449 22,400

1,048 4.5

12,206 7,947 7,555

392 4.9

21,200 14,245 13,472

773 5.4

39,566 25,458 23,927

1,531 6.0

10,240 6,999 6,621

378 5.4

29,326 18,458 17,306

1,152 6.2

69,302 45,883 43,593

2,290 5.0

35,862 23,721 22,665

1,056 4.5

12,217 7,863 7,459

403 5.1

21,223 14,299 13,469

831 5.8

39,596 25,541 23,972

1,570 6.1

10,217 6,984 6,598

386 5.5

29,379 18,557 17,374

1,183 6.4

69,334 45,834 43,323

2,512 5.5

35,860 23,673 22,445

1,228 5.2

12,219 7,888 7,442

446 5.7

21,256 14,274 13,436 j

838 5.9

39,592 25,293 23,806

1,487 5.9

10,215 6,859 6,504

355 5.2

29,377 18,434 17,302

1,133 6.1

69,413 45,744 43,281

2,463 5.4

35,901 23,643 22,425

1,217 5.1

12,231 7,811 7,363

448 5.7

21,281 14,290 13,493

798 5.6

39,596 25,244 23,736

1,508 6.0

10,217 6,822 6,444

378 5.5

29,379 18,422 17,292 1,130

6.1

69,499 45,758 43,194

2,564 5.6

35,945 23,640 22,395

1,245 5.3

12,245 7,789 7,330

459 5.9

21,308 14,328 13,468

860 6.0

125


HOUSEHOLD DATA REGIONS AND DIVISIONS SEASONALLY ADJUSTED

C-1. Employment status of the civilian population for census regions and divisions, seasonally adjusted1—Continued


Census region and division

1994


1995

Jan. Feb. Mar. Apr. May. June July

MIDWEST



East North Central



West North Central



WEST



Mountain



Pacific



46,182 31,612 29,988

1,623 5.1

32,609 21,906 20,667

1,239 5.7

13,573 9,705 9,321

384 4.0

42,395 28,347 26,284

2,064 7.3

11,251 7,710 7,298

412 5.3

31,144 20,637 18,986

1,651 8.0

46,211 31,754 30,147

1,607 5.1

32,627 21,953 20,747

1,205 5.5

13,584 9,801 9,400

401 4.1

42,449 28,690 26,537

2,153 7.5

11,279 7,906 7,457

449 5.7

31,170 20,784 19,080

1,704 8.2

46,239 31,916 30,345

1,571 4.9

32,646 22,131 20,972

1,159 5.2

13,593 9,785 9,373

412 4.2

42,502 28,585 26,586

1,999 7.0

11,309 7,860 7,429

430 5.5

31,193 20,726 19,156 1,569

7.6

46,267 32,100 30,515

1,584 4.9

32,665 22,276 21,090

1,186 5.3

13,602 9,823 9,425

398 4.1

42,559 28,644 26,717

1,928 6.7

11,339 7,883 7,461

422 5.4

31,220 20,761 19,255

1,506 7.3

46,291 32,188 30,693

1,495 4.6

32,681 22,302 21,218

1,084 4.9

13,610| 9,885 9,475

411 4.2

42,610 28,597 26,690

1,907 6.7

11,368 7,905 7,495

410 5.2

31,242 20,692 19,195

1,497 7.2

46,314 32,176 30,715

1,461 4.5

32,696 22,240 21,229

1,011 4.5

13,618| 9,936 9,486 j

450 4.5

42,660 28,522 26,649

1,873 6.6

11,396 7,894 7,510

383 4.9

31,264 20,628 19,139

1,490 7.2

46,324 32,225 30,829

1,396 4.3

32,702 22,256 21,244

1,012 4.5

13,622 9,969 9,586

383 3.8

42,697 28,448 26,552

1,896 6.7

11,421 7,835 7,476

359 4.6

31,277 20,613 19,076 1,537

7.5

46,341 32,280 30,880

1,400 4.3

32,712 22,312 21,319

993 4.5

13,629 9,968 9,561

407 4.1

42,741 28,625 26,836

1,789 6.2

11,448 7,986 7,640

345 4.3

31,293 20,639 19,196

1,443 7.0

46,355 32,230 30,764

1,467 4.6

32,721 22,364 21,281

1,084 4.8

13,634 9,866 9,483

383 3.9

42,784 28,641 26,825

1,817 6.3

11,475 7,978 7,606

371 4.7

31,309 20,664 19,218 1,446

7.0

46,385 32,398 30,809

1,589 4.9

32,754 22,524 21,351

1,173 5.2

13,631 9,874 9,458

417 4.2

42,834 28,789 26,841

1,949 6.8

11,496 7,998 7,595

403 5.0

31,338 20,791 19,246

1,545 7.4

46,403 32,168 30,674

1,494 4.6

32,765 22,479 21,380

1,099 4.9

13,638 9,689 9,294

395 4.1

42,878 28,687 26,659

2,027 7.1

11,523 7,988 7,590

399 5.0

31,355 20,696 19,070 1,628

7.9

46,428 32,000 30,626

1,374 4.3

32,781 22,297 21,293

1,004 4.5

13,647 9,703 9,333

370 3.8

42,929 28,728 26,837

1,891 6.6

11,550 8,000 7,612

388 4.8

31,379 20,727 19,224 1,503

7.3

1 These estimates may differ from the results obtained from summing the official State estimates produced and published through the Local Area Unemployment Statistics (LAUS) program.

2 The population figures are not adjusted for seasonal variation. NOTE: The States (including the District of Columbia) that compose the

various census divisions are: New England: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont; Middle Atlantic: New Jersey, New York, and Pennsylvania; South Atlantic: Delaware, District of

Columbia, Florida, Georgia, Maryland, North Carolina, South Carolina, Virginia, and West Virginia; East South Central: Alabama, Kentucky, Mississippi, and Tennessee; West South Central: Arkansas, Louisiana, Oklahoma, and Texas; East North Central: Illinois, Indiana, Michigan, Ohio, and Wisconsin; West North Central: Iowa, Kansas, Minnesota, Missouri, Nebraska, North Dakota, and South Dakota; Mountain: Arizona, Colorado, Idaho, Montana, Nevada, New Mexico, Utah, and Wyoming; and Pacific: Alaska, California, Hawaii, Oregon, and Washington.

126


STATE LABOR FORCE DATA SEASONALLY ADJUSTED

C-2. Labor force status by State, seasonally adjusted


State 1994

June July Aug. Sept. Oct. Mar. Apr. May

Alabama


Alaska


Arizona


Arkansas


California1


Colorado


Connecticut


Delaware


District of Columbia


Florida1



2,032.1 1,910.7

121.4 6.0

304.4 281.0 23.3

7.7

1,979.3 1,849.3

130.0 6.6

1,208.4 1,141.5

66.8 5.5

15,268.5 13,974.6

1,293.9 8.5

1,985.4 1,900.8

84.5 4.3

1,723.1 1,628.6

94.5 5.5

384.8 366.0

18.8 4.9

315.1 288.7 26.4

8.4

6,794.3 6,365.4

428.9 6.3

2,031.5 1,911.4

120.1 5.9

305.1 281.0 24.1

7.9

1,988.3 1,857.3

131.0 6.6

1,212.7 1,146.5

66.1 5.5

15,331.0 13,989.1

1,341.9 8.8

2,001.6 1,918.0

83.6 4.2

1,720.2 1,627.3

92.9 5.4

385.0 366.2

18.7 4.9

317.0 290.0

27.0 8.5

6,776.2 6,350.9

425.3 6.3

2,036.3 1,916.3

120.0 5.9

305.4 281.8 23.6

7.7

2,005.0 1,872.2

132.8 6.6

1,216.0 1,151.1

64.9 5.3

15,409.4 14,071.3 1,338.1

8.7

2,017.8 1,933.9

83.9 4.2

1,721.2 1,626.9

94.3 5.5

384.7 367.0

17.7 4.6

314.6 288.6

26.1 8.3

6,779.3 6,390.9

388.4 5.7

2,040.6 1,925.0

115.6 5.7

305.0 281.9

23.1 7.6

2,010.6 1,878.2

132.4 6.6

1,218.3 1,155.6

62.6 5.1

15,455.5 14,175.1 1,280.4

8.3

2,025.7 1,944.3

81.4 4.0

1,721.4 1,625.8

95.6 5.6

384.0 366.4

17.7 4.6

314.0 288.4 25.6

8.1

6,872.7 6,426.6

446.1 6.5

2,045.2 1,927.8

117.4 5.7

305.8 282.4 23.4

7.7

2,014.7 1,884.1

130.6 6.5

1,221.9 1,159.1

62.8 5.1

15,586.4 14,365.8

1,220.6 7.8

2,036.3 1,957.4

78.8 3.9

1,719.6 1,624.8

94.8 5.5

384.4 366.9

17.5 4.5

315.1 289.7

25.4 8.1

6,881.5 6,433.9

447.6 6.5

2,054.8 1,943.3

111.5 5.4

305.5 281.9

23.6 7.7

2,018.2 1,891.2

127.0 6.3

1,224.6 1,162.3

62.2 5.1

15,489.4 14,275.1

1,214.3 7.8

2,041.3 1,964.4

76.9 3.8

1,718.6 1,624.6

94.0 5.5

385.0 367.4

17.7 4.6

317.6 291.4

26.1 8.2

6,947.6 6,480.1

467.5 6.7

2,048.8 1,941.8

107.0 5.2

307.4 282.9

24.5 8.0

2,023.4 1,898.5

124.9 6.2

1,227.2 1,165.1

62.1 5.1

15,431.6 14,246.5

1,185.1 7.7

2,046.0 1,973.1

72.9 3.6

1,716.1 1,623.3

92.8 5.4

384.9 367.7

17.2 4.5

313.8 287.6

26.2 8.3

6,935.4 6,492.0

443.4 6.4

2,061.8 1,946.7

115.1 5.6

311.1 287.5

23.6 7.6

2,030.4 1,923.0

107.4 5.3

1,224.5 1,158.5

66.0 5.4

15,371.0 14,109.7

1,261.3 8.2

2,070.9 1,995.0

76.0 3.7

1,753.9 1,661.7

92.2 5.3

381.7 365.8

15.9 4.2

308.8 284.9 23.9

7.8

6,859.7 6,459.9

399.8 5.8

2,064.9 1,942.7

122.3 5.9

305.3 283.1

22.2 7.3

2,044.8 1,948.8

96.0 4.7

1,227.6 1,158.7

68.8 5.6

15,331.6 14,209.3 1,122.3

7.3

2,074.7 2,010.3

64.4 3.1

1,759.3 1,662.9

96.4 5.5

383.9 369.9

14.0 3.6

312.5 287.8 24.7

7.9

6,762.1 6,461.1

301.0 4.5

2,055.4 1,942.7

112.7 5.5

306.0 283.8

22.2 7.2

2,062.1 1,958.6

103.4 5.0

1,226.6 1,165.4

61.2 5.0

15,307.1 14,140.2 1,166.8

7.6

2,085.4 2,012.5

72.9 3.5

1,746.9 1,654.0

92.9 5.3

387.3 374.0

13.3 3.4

309.8 284.9 24.9 8.0

6,809.4 6,512.6

296.7 4.4

2,068.8 1,949.7

119.1 5.8

311.8 290.7

21.0 6.7

2,090.2 1,975.2

115.0 5.5

1,221.9 1,160.7

61.1 5.0

15,341.6 14,126.8

1,214.8 7.9

2,085.4 2,002.2

83.2 4.0

1,755.1 1,664.7

90.4 5.2

383.5 367.8

15.7 4.1

288.5 264.2 24.4

8.4

6,944.0 6,552.5

391.5 5.6

2,055.0 1,934.0

121.0 5.9

309.0 289.3

19.7 6.4

2,097.2 1,979.3

117.9 5.6

1,208.1 1,158.7

49.4 4.1

15,209.2 13,920.9

1,288.2 8.5

2,084.1 2,002.2

81.9 3.9

1,735.8 1,646.6

89.2 5.1

383.6 367.2

16.4 4.3

290.3 265.2

25.1 8.6

6,821.9 6,471.7

350.2 5.1

127



C-2. Labor force status by State, seasonally adjusted—Continued


State July Aug. Sept. Oct. Dec. Mar. Apr. May

Georgia

Civilian labor force Employed Unemployed Unemployment rate .

Haw


Idaho


Illinois1


Indiana


Iowa


Kansas


Kentucky


Louisiana


Maine



3,563.1 3,377.7

185.4 5.2

582.3 547.1

35.3 6.1

590.5 558.7 31.9

5.4

6,011.4 5,705.2

306.2 5.1

3,039.7 2,890.0

149.8 4.9

1,571.4 1,513.6

57.8 3.7

1,330.2 1,260.1

70.0 5.3

1,817.7 1,719.7

98.0 5.4

1,929.9 1,773.8

156.2 8.1

610.1 566.3 43.8

7.2

3,575.1 3,378.8

196.4 5.5

583.8 545.7

38.1 6.5

591.6 559.4

32.3 5.5

5,973.1 5,633.0

340.1 5.7

3,037.1 2,880.0

157.1 5.2

1,569.6 1,513.2

56.4 3.6

1,327.7 1,257.2

70.5 5.3

1,829.2 1,729.4

99.8 5.5

1,941.6 1,785.3

156.3 8.0

609.9 565.6

44.3 7.3

3,576.3 3,392.0

184.3 5.2

583.5 545.4 38.1

6.5

591.1 559.8 31.3

5.3

5,978.5 5,644.5

334.0 5.6

3,044.8 2,891.2

153.6 5.0

1,567.5 1,510.0

57.5 3.7

1,332.6 1,261.7

70.9 5.3

1,833.4 1,737.6

95.8 5.2

1,952.3 1,794.8

157.5 8.1

609.2 564.7

44.5 7.3

3,586.1 3,402.2

183.9 5.1

584.0 546.5

37.5 6.4

594.4 560.6 33.8

5.7

5,958.9 5,629.9

329.0 5.5

3,081.1 2,928.9

152.2 4.9

1,569.9 1,511.8

58.1 3.7

1,334.0 1,263.4

70.6 5.3

1,838.5 1,742.6

95.9 5.2

1,955.8 1,798.3

157.5 8.1

608.7 564.3 44.4

7.3

3,597.4 3,413.0

184.3 5.1

584.3 546.9

37.4 6.4

596.4 561.0

35.4 5.9

6,016.1 5,661.0

355.1 5.9

3,102.6 2,951.9

150.8 4.9

1,562.8 1,506.0

56.8 3.6

1,335.8 1,265.5

70.3 5.3

1,844.6 1,749.4

95.1 5.2

1,958.5 1,798.7

159.8 8.2

609.1 564.8 44.4

7.3

3,608.3 3,428.9

179.4 5.0

583.8 547.6 36.2

6.2

598.3 562.4 35.9

6.0

5,991.4 5,684.1

307.3 5.1

3,128.2 2,982.9

145.3 4.6

1,562.0 1,505.6

56.4 3.6

1,338.4 1,268.6

69.7 5.2

1,846.7 1,754.5

92.2 5.0

1,961.7 1,803.3

158.4 8.1

608.8 566.1 42.8

7.0

3,608.6 3,431.6

177.1 4.9

582.7 547.6

35.1 6.0

600.0 563.0 37.1 6.2

5,969.0 5,687.9

281.1 4.7

3,149.6 3,008.0

141.6 4.5

1,555.8 1,499.8

56.1 3.6

1,336.9 1,267.1

69.9 5.2

1,853.5 1,762.3

91.2 4.9

1,959.2 1,803.8

155.4 7.9

609.2 567.1

42.1 6.9

3,611.1 3,451.2

159.9 4.4

582.0 549.3

32.7 5.6

567.6 32.2

5.4

6,015.2 5,697.3

317.9 5.3

3,171.1 3,042.8

128.2 4.0

1,573.2 1,521.1

52.1 3.3

1,356.8 1,293.8

63.0 4.6

1,872.3 1,782.2

90.0 4.8

1,978.9 1,846.1

132.8 6.7

619.7 584.9 34.8

5.6

3,618.8 3,455.3

163.5 4.5

576.9 548.2

28.7 5.0

597.7 563.9 33.8

5.6

6,111.3 5,789.9

321.4 5.3

3,142.6 3,014.7

127.8 4.1

1,558.9 1,506.3

52.6 3.4

1,358.3 1,298.1

60.2 4.4

1,888.8 1,800.2

88.6 4.7

1,981.3 1,845.5

135.8 6.9

623.4 588.9 34.5

5.5

3,626.5 3,467.3

159.2 4.4

583.1 553.1

30.0 5.1

600.7 569.5 31.2

5.2

6,114.5 5,845.7

268.8 4.4

3,135.0 2,997.7

137.3 4.4

1,569.2 1,517.1

52.1 3.3

1,355.7 1,295.9

59.8 4.4

1,865.9 1,777.8

88.1 4.7

1,996.3 1,850.0

146.4 7.3

621.5 587.3

34.2 5.5

3,638.2 3,467.5

170.7 4.7

590.7 560.0

30.7 5.2

605.6 574.9

30.7 5.1

6,219.3 5,867.5

351.7 5.7

3,143.6 2,991.5

152.1 4.8

1,560.0 1,507.5

52.5 3.4

1,355.3 1,292.9

62.3 4.6

1,867.3 1,778.4

88.9 4.8

2,000.7 1,848.1

152.6 7.6

623.1 586.8

36.4 5.8

3,645.8 3,470.7

175.1 4.8

592.2 562.3

30.0 5.1

602.7 571.6

31.0 5.2

6,061.3 5,730.3

331.0 5.5

3,131.7 2,985.7

146.0 4.7

1,557.5 1,505.4

52.1 3.3

1,351.2 1,287.1

64.1 4.7

1,857.4 1,763.6

93.8 5.0

1,982.2 1,841.0

141.2 7.1

631.4 591.9 39.5

6.3

128





State June July Aug. Sept. Oct. Nov. Dec. Feb. Mar. Apr. May

Maryland


Massachusetts1


Michigan1


Minnesota


Mississippi


Missouri


Montana


Nebraska


Nevada


New Hampshire



2,690.8 2,554.1

136.7 5.1

3,170.6 2,981.7

188.9 6.0

4,724.4 4,459.4

265.0 5.6

2,559.4 2,457.1

102.3 4.0

1,257.8 1,174.8

83.1 6.6

2,686.1 2,559.6

126.5 4.7

435.6 414.5

21.1 4.9

875.3 850.0

25.4 2.9

777.2 729.6

47.6 6.1

628.4 599.1

29.2 4.6

2,694.2 2,558.0

136.3 5.1

3,204.7 3,014.0

190.7 6.0

4,726.6 4,451.7

274.9 5.8

2,558.9 2,457.4

101.5 4.0

1,261.4 1,178.8

82.7 6.6

2,692.0 2,567.9

124.1 4.6

437.8 416.3

21.4 4.9

875.7 850.7

25.0 2.9

780.3 733.1

47.1 6.0

629.8 601.1

28.7 4.6

2,696.5 2,561.5

135.0 5.0

3,184.3 2,997.5

186.8 5.9

4,715.8 4,431.6

284.2 6.0

2,576.5 2,475.1

101.3 3.9

1,264.1 1,181.8

82.3 6.5

2,699.4 2,575.7

123.7 4.6

439.7 418.0

21.7 4.9

875.6 850.6

25.0 2.9

784.4 736.7

47.7 6.1

629.8 602.1

27.7 4.4

2,703.9 2,569.4

134.6 5.0

3,194.9 3,018.8

176.1 5.5

4,772.1 4,512.7

259.4 5.4

2,584.4 2,482.6

101.7 3.9

1,261.3 1,180.8

80.5 6.4

2,709.1 2,586.8

122.2 4.5

439.7 417.7

22.0 5.0

877.7 851.9

25.8 2.9

786.8 739.4 47.5

6.0

630.1 603.1

27.1 4.3

2,709.0 2,577.0

131.9 4.9

3,201.0 2,997.5

203.5 6.4

4,779.2 4,535.3

243.9 5.1

2,596.5 2,494.8

101.7 3.9

1,266.6 1,181.4

85.2 6.7

2,721.1 2,599.1

122.0 4.5

440.9 419.0

21.8 5.0

878.3 852.4

25.9 2.9

789.0 741.4

47.6 6.0

630.9 604.4

26.6 4.2

2,711.2 2,581.1

130.1 4.8

3,180.8 3,005.4

175.4 5.5

4,741.6 4,516.7

224.9 4.7

2,600.9 2,504.7

96.3 3.7

1,266.3 1,178.1

88.3 7.0

2,728.0 2,607.5

120.5 4.4

442.9 421.1

21.8 4.9

880.9 855.5

25.4 2.9

791.4 743.8 47.6 6.0

632.8 606.8

26.0 4.1

2,712.7 2,582.8

129.9 4.8

3,193.6 3,014.1

179.5 5.6

4,719.6 4,503.8

215.8 4.6

2,613.6 2,516.9

96.7 3.7

1,269.3 1,183.2

86.1 6.8

2,736.5 2,614.7

121.9 4.5

442.2 419.9

22.3 5.0

879.6 853.4

26.2 3.0

792.7 745.9 46.8

5.9

630.8 604.6

26.1 4.1

2,708.2 2,576.3

132.0 4.9

3,221.1 3,027.5

193.6 6.0

4,721.2 4,462.7

258.6 5.5

2,637.4 2,545.4

92.0 3.5

1,266.8 1,192.7

74.1 5.8

2,768.5 2,652.6

115.9 4.2

441.5 419.8

21.7 4.9

876.0 855.9

20.1 2.3

789.3 743.9 45.4

5.7

637.7 611.6

26.1 4.1

2,702.5 2,572.1

130.4 4.8

3,202.3 3,030.2

172.1 5.4

4,720.2 4,457.0

263.3 5.6

2,646.2 2,552.7

93.5 3.5

1,254.1 1,190.9

63.2 5.0

2,781.4 2,659.2

122.2 4.4

442.7 417.9

24.8 5.6

881.0 861.5

19.4 2.2

789.9 743.3

46.5 5.9

641.6 615.5

26.0 4.1

2,703.6 2,572.1

131.6 4.9

3,181.7 3.035.4

146.3 4.6

4,734.5 4,449.4

285.2 6.0

2,619.9 2,532.4

87.5 3.3

1,245.7 1,181.9

63.8 5.1

2,782.2 2,649.6

132.6 4.8

441.3 419.5

21.8 4.9

883.7 866.2

17.6 2.0

789.4 745.0

44.3 5.6

641.2 612.2

29.0 4.5

2,709.4 2,576.6

132.7 4.9

3,166.3 2,979.5

186.8 5.9

4,767.2 4,488.9

278.3 5.8

2,604.4 2,507.2

97.1 3.7

1,246.2 1,177.2

69.0 5.5

2,800.1 2,663.3

136.8 4.9

439.1 415.6

23.5 5.3

888.3 866.4

21.9 2.5

791.8 746.0

45.9 5.8

641.3 615.4

25.9 4.0

2,715.4 2,579.3

136.1 5.0

3,143.8 2,987.3

156.5 5.0

4,811.9 4,539.1

272.8 5.7

2,579.3 2,478.6

100.8 3.9

1,238.4 1,164.2

74.2 6.0

2,800.3 2,657.4

142.9 5.1

437.7 413.6

24.1 5.5

883.5 860.1

23.4 2.6

798.2 750.5

47.7 6.0

633.2 609.1

24.1 3.8

129





State June July Aug. Sept. Oct. Nov. Dec.

1995

Apr. May

New Jersey1


New Mexico


New York1


North Carolina1


North Dakota


Ohio1


Oklahoma


Oregon


Pennsylvania1


Rhode Island



3,972.6 3,695.0

277.6 7.0

766.8 719.9

46.9 6.1

8,564.2 7,962.8

601.4 7.0

3,577.7 3,438.9

138.8 3.9

337.1 324.0

13.2 3.9

5,531.9 5,220.9

311.0 5.6

1,538.2 1,448.0

90.1 5.9

1,648.5 1,558.9

89.7 5.4

5,933.2 5,577.2

356.0 6.0

506.7 470.7

36.0 7.1

4,007.4 3,745.0

262.4 6.5

769.5 722.9

46.6 6.1

8,642.7 8,038.7

604.0 7.0

3,584.7 3,421.2

163.5 4.6

337.5 324.3

13.2 3.9

5,480.5 5,168.2

312.3 5.7

1,544.6 1,455.5

89.1 5.8

1,653.5 1,567.0

86.5 5.2

5,876.2 5,502.3

373.9 6.4

505.9 469.5

36.5 7.2

4,032.4 3,781.1

251.3 6.2

770.4 724.5 45.9

6.0

8,580.0 7,993.2

586.8 6.8

3,625.7 3,446.5

179.2 4.9

337.4 324.6

12.8 3.8

5,472.0 5,176.7

295.3 5.4

1,542.4 1,453.2

89.2 5.8

1,656.6 1,570.0

86.6 5.2

5,839.2 5,477.4

361.8 6.2

506.0 469.6

36.4 7.2

4,041.9 3,774.1

267.8 6.6

773.5 727.7 45.8

5.9

8,550.6 8,012.1

538.5 6.3

3,646.1 3,468.7

177.4 4.9

336.9 324.4

12.5 3.7

5,515.6 5,220.2

295.4 5.4

1,543.1 1,454.8

88.2 5.7

1,655.9 1,570.7

85.2 5.1

5,791.4 5,411.9

379.5 6.6

503.8 468.1

35.8 7.1

4,039.7 3,769.1

270.6 6.7

777.0 731.1

45.9 5.9

8,559.3 8,007.5

551.8 6.4

3,635.4 3,464.5

170.9 4.7

336.7 324.3

12.4 3.7

5,544.6 5,268.8

275.8 5.0

1,546.0 1,457.1

88.9 5.7

1,652.2 1,567.6

84.5 5.1

5,769.5 5,424.2

345.3 6.0

502.4 467.4

35.0 7.0

4,008.6 3,748.1

260.5 6.5

779.3 733.6

45.7 5.9

8,540.6 8,004.8

535.8 6.3

3,655.1 3,505.6

149.5 4.1

335.8 324.5

11.3 3.4

5,570.0 5,304.6

265.4 4.8

1,548.2 1,460.1

88.1 5.7

1,649.8 1,566.4

83.3 5.1

5,713.5 5,365.1

348.4 6.1

501.2 467.1

34.1 6.8

3,999.2 3,750.1

249.1 6.2

782.0 736.1

45.9 5.9

8,565.3 8,079.9

485.4 5.7

3,680.9 3,555.7

125.2 3.4

336.6 324.1

12.4 3.7

5,572.2 5,321.8

250.4 4.5

1,545.9 1,459.8

86.1 5.6

1,642.1 1.560.8

81.3 4.9

5,792.0 5,444.6

347.4 6.0

499.1 466.2

32.8 6.6

4,009.0 3,719.7

289.3 7.2

791.1 744.3

46.8 5.9

8,438.1 7,933.7

504.4 6.0

3,655.0 3,515.4

139.5 3.8

334.7 322.4

12.3 3.7

5,494.5 5,274.3

220.3 4.0

1,548.1 1,468.7

79.3 5.1

1,655.2 1,571.5

83.6 5.1

5,792.3 5,451.5

340.8 5.9

504.4 471.2

33.2 6.6

4,005.7 3,761.9

243.9 6.1

791.9 745.7 46.2

5.8

8,521.5 7,998.1

523.5 6.1

3,646.2 3,477.7

168.5 4.6

332.3 320.9

11.4 3.4

5,567.7 5,343.9

223.9 4.0

1,551.5 1,472.0

79.5 5.1

1,660.9 1,578.1

82.8 5.0

5,803.7 5,478.8

324.9 5.6

502.4 471.0

31.4 6.3

4,026.3 3,791.3

235.0 5.8

793.1 745.3

47.8 6.0

8,478.8 7,920.8

558.0 6.6

3,665.4 3,521.6

143.9 3.9

332.3 321.2

11.0 3.3

5,533.2 5,324.8

208.4 3.8

1,552.6 1,471.8

80.8 5.2

1,670.4 1,593.4

77.0 4.6

5,953.4 5,594.1

359.3 6.0

501.8 470.5

31.3 6.2

4,106.3 3,846.8

259.5 6.3

795.2 747.7

47.5 6.0

8,489.6 7,914.3

575.3 6.8

3,644.9 3,472.1

172.9 4.7

330.2 319.4

10.7 3.3

5,519.2 5,268.9

250.3 4.5

1,541.7 1,466.4

75.3 4.9

1,689.5 1,611.9

77.6 4.6

5,961.6 5,612.9

348.6 5.8

489.6 461.2

28.4 5.8

4,133.5 3,865.3

268.2 6.5

794.7 749.6

45.1 5.7

8,495.8 7,960.8

535.0 6.3

3,609.1 3,452.2

156.9 4.3

330.8 319.9

10.9 3.3

5,601.8 5,340.2

261.6 4.7

1,557.8 1,484.2

73.5 4.7

1.699.8 1,612.3

87.6 5.2

5,804.8 5,475.5

329.3 5.7

488.4 457.2

31.2 6.4

130





State 1994

June July Aug. Sept. Oct. Dec. Feb. Mar. Apr. May

South Carolina


South Dakota


Tennessee


Texas1


Utah


Vermont


Virginia


Washington


West Virginia


Wisconsin


Wyoming


1,827.2 1,712.8

114.4 6.3

374.2 362.2

12.1 3.2

2,669.5 2,539.2

130.2 4.9

9,406.0 8,782.5

623.5 6.6

973.0 936.7

36.3 3.7

319.5 304.6

14.9 4.7

3,415.3 3,246.6

168.6 4.9

2,698.7 2,523.5

175.2 6.5

785.3 715.7

69.6 8.9

2,794.6 2,664.7

129.9 4.6

249.1 235.9

13.2 5.3

1,827.8 1,715.6

112.2 6.1

375.2 363.3

11.9 3.2

2,685.3 2,554.9

130.4 4.9

9,473.4 8,841.6

631.8 6.7

977.2 940.2

37.0 3.8

319.2 304.4

14.8 4.6

3,421.8 3,251.0

170.8 5.0

2,696.2 2,525.9

170.3 6.3

781.8 713.9

67.9 8.7

2,801.0 2,669.1

131.9 4.7

249.7 236.7

13.0 5.2

1,829.7 1,719.0

110.7 6.1

375.7 364.0

11.8 3.1

2,690.8 2,563.2

127.6 4.7

9,406.9 8,792.9

614.0 6.5

981.1 943.9

37.2 3.8

319.2 304.1

15.1 4.7

3,434.0 3,263.4

170.6 5.0

2,703.8 2.535.0

168.8 6.2

785.2 718.1

67.1 8.5

2,800.3 2,669.2

131.0 4.7

250.3 237.6

12.7 5.1

1,832.3 1,723.0

109.3 6.0

376.4 364.5

11.9 3.2

2,696.8 2,575.1

121.7 4.5

9,340.1 8,754.1

586.0 6.3

984.6 947.3

37.2 3.8

319.7 304.9

14.9 4.7

3,438.6 3,270.6

168.1 4.9

2,705.3 2,538.7

166.6 6.2

783.3 719.0

64.3 8.2

2,803.9 2,672.9

131.0 4.7

250.3 237.9

12.4 5.0

1,835.3 1,727.2

108.1 5.9

377.3 365.4

11.8 3.1

2,704.9 2,585.4

119.5 4.4

9,398.0 8,836.4

561.6 6.0

987.1 950.0 37.2

3.8

319.8 305.2

14.6 4.6

3,443.5 3,276.5

166.9 4.8

2,709.3 2,544.0

165.3 6.1

786.1 720.6 65.4

8.3

2,801.7 2,671.0

130.8 4.7

250.8 238.2

12.6 5.0

1,835.5 1,731.1

104.4 5.7

378.0 366.3

11.7 3.1

2,721.0 2,604.7

116.3 4.3

9,474.1 8,936.6

537.5 5.7

990.0 952.6

37.4 3.8

319.8 305.5

14.3 4.5

3,450.3 3,286.0

164.3 4.8

2,715.7 2,551.0

164.7 6.1

795.4 730.3

65.1 8.2

2,802.2 2,672.0

130.2 4.6

251.3 238.9

12.4 4.9

1,832.7 1,732.5

100.2 5.5

378.2 366.5

11.7 3.1

2,706.7 2,598.2

108.5 4.0

9,437.3 8,868.6

568.7 6.0

993.5 956.4

37.1 3.7

319.6 305.5

14.0 4.4

3,456.4 3,292.1

164.4 4.8

2,718.7 2,556.3

162.4 6.0

789.8 724.3

65.6 8.3

2,799.9 2,668.6

131.3 4.7

252.1 239.6

12.5 5.0

1,836.3 1,737.7

98.6 5.4

380.0 367.7

12.3 3.2

2,648.9 2,542.1

106.8 4.0

9,463.5 8,918.9

544.6 5.8

984.8 949.0

35.8 3.6

322.8 309.1

13.7 4.3

3,516.6 3,355.6

161.0 4.6

2,754.8 2,599.9

154.9 5.6

790.7 728.7 62.1

7.8

2.812.3 2,701.5

110.8 3.9

253.0 242.0

11.0 4.3

1,844.3 1,750.3

93.9 5.1

379.5 368.2

11.3 3.0

2,651.2 2,542.5

108.8 4.1

9,511.6 9,030.3

481.2 5.1

990.6 952.4

38.2 3.9

322.7 308.9

13.9 4.3

3,515.5 3,368.4

147.2 4.2

2,759.0 2,594.5

164.5 6.0

791.1 726.5

64.6 8.2

2,810.5 2,707.9

102.6 3.7

253.5 242.8

10.7 4.2

1,845.0 1,757.4

87.6 4.7

379.6 368.6

11.0 2.9

2,654.8 2,548.2

106.7 4.0

9,482.0 8,944.8

537.2 5.7

982.4 952.1

30.3 3.1

326.6 312.8

13.8 4.2

3,534.2 3,384.3

149.8 4.2

2,773.8 2.608.3

165.5 6.0

788.7 732.7

56.0 7.1

2,809.0 2,696.2

112.8 4.0

254.0 243.5

10.5 4.1

1,850.8 1,760.3

90.5 4.9

378.3 365.8

12.5 3.3

2,667.9 2,550.9

117.0 4.4

9,560.3 8,997.3

563.0 5.9

980.2 945.4

34.9 3.6

324.1 310.6

13.5 4.2

3,521.7 3,365.5

156.3 4.4

2,795.3 2,624.9

170.3 6.1

789.0 731.1

57.9 7.3

2,838.4 2,726.4

112.0 3.9

254.1 242.9

11.2 4.4

1,865.1 1,773.4

91.7 4.9

374.6 365.8

8.8 2.3

2,684.5 2,560.1

124.3 4.6

9,629.7 9,054.1

575.6 6.0

983.3 947.0

36.3 3.7

322.2 309.6

12.6 3.9

3,520.5 3,361.8

158.7 4.5

2,817.6 2,644.5

173.0 6.1

790.8 729.8

61.0 7.7

2,855.1 2,744.8

110.3 3.9

254.7 242.5

12.2 4.8

1 Data are obtained directly from the Current Population Survey (CPS). See the Explanatory Notes for Region, State, and Area Labor Force Data.

p = preliminary.

NOTE: Data refer to place of residence. All estimates are provisional and will be revised when new benchmark and population information becomes available.

131


STATE AND AREA LABOR FORCE DATA NOT SEASONALLY ADJUSTED

C-3. Labor force status by State and selected metropolitan areas


State and area


June 1994

2,058.2 436.2 162.7 254.7 152.1 74.7

312.8 135.5

2,002.4 1,279.6

346.4

1,237.2 133.2 96.9

295.3 38.1

15,290.0 265.4 404.7

4,416.5 195.1

1,112.7 1,318.4 1,251.0

692.4 172.0

1,216.7 884.3 841.5 194.3 220.6 238.5 231.1 377.2

2,004.6 157.1

1,015.6

1,758.1 225.5

1 112.8 609.1 276.5 155.1 190.9 118.2

388.9 69.2

287.9

324.1 2,617.1

6,866.5 190.4 717.0 167.5 99.5

498.6 200.5 208.3

1,045.3 755.8 169.7 232.0 140.9

1,090.7 456.7

May 1995

2,049.6 439.1 160.7 255.5 152.4 76.8

309.8 136.8

2,095.9 1,339.3

374.5

1,218.3 136.0 93.4

294.0 36.9

15,158.3 258.9 411.4

4,352.0 193.4

1,101.8 1,300.6 1,252.5

687.1 171.1

1,192.4 880.8 822.6 191.8 222.5 242.5 232.8 375.7

2,064.7 165.2

1,050.2

1,736.8 223.3 111.1 605.2 272.3 151.4 186.5 117.8

381.5 68.4

284.4

287.2 2,604.6

6,869.6 190.0 725.2 167.1 103.6 499.5 199.5 207.0

1,020.3 770.4 167.9 236.4 141.6

1,096.4 454.1

June 1995?

2,071.0 441.8 161.0 260.0 153.2 76.1

313.5 136.3

2,137.1 1,366.3

376.7

1,235.5 138.3 94.4

297.6 37.3

15,339.7 263.9 413.0

4,375.0 196.5

1,118.1 1,323.5 1,271.7

698.0 171.5

1,217.1 892.8 838.2 192.7 225.5 243.4 237.6 379.2

2,093.1 166.7

1,059.1

1,760.0 225.9 111.7 610.1 276.5 155.5 190.6 119.3

384.0 68.3

285.7

291.4 2,641.4

6,899.3 191.4 728.9 167.0 102.0 501.1 203.7 206.5

1,023.9 775.7 168.5 236.8 141.1

1,101.4 453.9

June 1994

138.4 21.0

9.2 18.7 8.7 4.1

23.1 7.9

138.9 67.8 16.8

72.2 4.1 5.5

13.5 3.6

1,323.1 37.1 50.6

445.6 30.6 70.6 76.7

116.5 49.8 15.3 88.8 51.6 53.7 12.6 13.9 29.6 17.0 27.2

90.0 6.4

42.2

101.1 14.4 4.9

37.6 16.1 8.4 7.3 8.0

18.9 3.7

14.8

29.8 118.0

467.5 12.0 47.2

9.3 4.0

26.7 17.8 15.1 87.4 44.8

8.6 11.7 6.4

61.5 39.9

Number

May 1995

108.7 16.7 6.4

14.5 7.1 3.6

21.1 7.1

108.7 50.9 13.6

52.2 3.3 4.4 9.1 2.4

1,217.0 36.6 62.6

297.0 33.5 72.2 76.6

114.0 53.1 19.4 86.1 52.7 49.2 13.3 14.4 31.0 18.5 26.8

82.5 6.0

37.0

90.1 13.3 4.0

34.1 13.8 7.4 7.1 6.9

13.9 3.0

10.6

23.9 104.8

346.8 8.5

38.5 6.9 3.1

19.4 12.1 12.1 65.6 33.5

7.9 8.3 4.8

46.4 28.1

Unemployed

June 1995P

144.1 22.7

8.5 19.2 9.4 4.3

20.3 6.6

117.3 55.4 14.2

53.9 3.3 4.3 9.3 2.5

1,186.4 34.1 54.9

324.0 31.0 69.3 72.6

113.2 50.2 16.3 82.6 50.4 45.2 12.2 13.3 30.2 17.3 25.9

92.3 7.1

41.3

95.6 14.2 4.2

35.9 14.6 8.3 7.4 7.0

16.2 3.0

15.3

28.0 116.7

401.4 9.5

41.9 8.1 3.5

22.7 17.1 12.9 72.1 38.2

8.5 10.6 5.2

52.5 32.6

June 1994

6.7 4.8 5.7 7.4 5.7 5.4

7.4 5.8

6.9 5.3 4.8

5.8 3.0 5.6 4.6 9.4

8.7 14.0 12.5 10.1 15.7 6.3 5.8 9.3 7.2 8.9 7.3 5.8 6.4 6.5 6.3

12.4 7.4 7.2

4.5 4.1 4.2

5.8 6.4 4.4 6.2 5.8 5.4 3.8 6.8

4.8 5.3 5.1

9.2 4.5

6.8 6.3 6.6 5.6 4.0 5.4 8.9 7.3 8.4 5.9 5.1 5.0 4.6 5.6 8.7


May 1995

5.3 3.8 4.0 5.7 4.6 4.7

6.8 5.2

5.2 3.8 3.6

4.3 2.4 4.7 3.1 6.5

8.0 14.1 15.2 6.8

17.3 6.6 5.9 9.1 7.7

11.3 7.2 6.0 6.0 6.9 6.5

12.8 8.0 7.1

4.0 3.6 3.5

5.2 5.9 3.6 5.6 5.1 4.9 3.8 5.9

3.6 4.3 3.7

8.3 4.0

5.0 4.5 5.3 4.1 3.0 3.9 6.1 5.9 6.4 4.4 4.7 3.5 3.4 4.2 6.2

June 1995P

7.0 5.1 5.2 7.4 6.2 5.7

6.5 4.8

5.5 4.1 3.8

4.4 2.4 4.5 3.1 6.6

7.7 12.9 13.3 7.4

15.8 6.2 5.5 8.9 7.2 9.5 6.8 5.6 5.4 6.3 5.9

12.4 7.3 6.8

4.4 4.3 3.9

5.4 6.3 3.8 5.9 5.3 5.3 3.9 5.9

4.2 4.4 5.3

9.6 4.4

5.8 5.0 5.7 4.8 3.4 4.5 8.4 6.3 7.0 4.9 5.0 4.5 3.7 4.8 7.2


Alaska Anchorage



California1

Bakersfield Fresno Los Angeles-Long Beach1

Modesto Oakland Orange County Riverside-San Bernardino Sacramento Salinas San Diego San Francisco San Jose Santa Barbara-Santa Maria-Lompoc Santa Rosa Stockton-Lodi Vallejo-Fairfield-Napa Ventura


Connecticut Bridgeport Danbury Hartford New Haven-Meriden New London-Norwich Stamford-Newark Waterbury


District of Columbia Washington

Florida1

Daytona Beach Fort Lauderdale Fort Myers-Cape Coral Gainesville Jacksonville Lakeland-Winter Haven Melbourne-Titusville-Palm Bay Miami Orlando Pensacola Sarasota-Bradenton Tallahassee Tampa-St. Petersburg-Clearwater ... West Palm Beach-Boca Raton


132



C-3. Labor force status by State and selected metropolitan areas—Continued


State and area


June 1994

3,586.8 54.9 66.7

1,849.6 202.8 113.5 142.9 127.3

585.9 425.5

603.5 195.0

6,138.9 79.6 92.9

4,053.3 186.4 61.0 52.3

179.3 190.8 107.8

3,093.1 61.2 97.4

157.9 264.9 301.7 813.2

52.3 85.1 65.0

136.3 75.0

1,586.7 105.7 250.9

49.8 65.7 65.0 66.8

1,365.0 48.4 92.1

275.6

1,854.5 235.6 530.2 48.4

1,985.2 58.9

284.2 81.9

163.8 84.8 66.4

612.2 180.7

623.9 48.8

118.1

May 1995

3,630.3 53.8 68.8

1.906.2 201.2 113.1 142.6 127.6

590.3 430.9

603.9 198.2

6,082.4 80.4 94.4

4,021.3 179.3 59.8 51.5

177.4 186.9 106.8

3,152.7 61.8

101.5 156.8 269.5 300.1 824.6

54.1 90.5 69.0

135.0 75.6

1,546.7 105.2 242.6 49.3 64.1 63.9 66.5

1,351.8 51.7 89.8

266.6

1,869.8 245.4 540.3 51.4

1,977.2 58.4

285.6 82.7

164.4 86.3 67.8

614.6 178.8

631.6 50.1

118.3

June 1995P

3,674.5 54.4 68.8

1,926.1 203.2 115.3 143.7 128.1

593.9 431.9

614.7 201.8

6,157.9 81.2 93.3

4,068.4 184.0 60.7 52.5

180.2 191.3 108.0

3,191.4 62.6

101.9 158.4 274.3 300.9 831.5

54.0 90.4 67.9

137.7 76.1

1,571.7 105.9 246.3 49.9 64.5 64.6 65.2

1,379.5 48.6 91.6

271.0

1,909.9 252.0 555.0 51.8

2,033.5 60.3

295.6 85.6

167.8 88.7 69.3

626.0 184.3

651.7 50.7

121.5

June 1994

205.9 4.5 2.8

96.6 13.5

7.5 8.9 8.0

38.8 22.1

28.6 7.9

338.4 2.5 3.6

217.9 8.7 4.6 3.4 8.8

10.5 4.6

148.2 2.4 3.6 7.7

11.6 18.6 33.2

2.5 3.1 3.5 5.8 4.7

57.2 3.5 7.1 1.8 1.9 2.1 3.5

76.1 3.3 4.9

18.6

101.0 8.9

23.9 2.7

179.1 4.9

24.8 6.4

13.4 7.7 5.9

51.7 15.3

42.4 3.7 6.0

Number

May 1995

159.6 3.1 2.2

75.5 12.5 5.7 6.5 6.4

29.7 17.3

29.3 7.3

332.2 3.1 3.5

210.6 7.9 4.9 3.6 8.6 9.0 5.0

143.7 2.5 5.5 7.9

10.4 17.5 31.1

2.6 2.8 3.3 5.9 4.2

45.8 3.1 6.0 1.3 1.4 1.5 2.6

59.5 2.7 4.3

12.6

90.6 7.6

22.1 2.8

129.6 3.5

17.3 4.7

10.2 5.5 3.9

38.7 11.5

37.9 2.9 4.7

Unemployed

June 1995?

201.8 3.8 3.1

92.6 14.3 7.3 8.2 7.9

33.1 19.0

25.8 6.8

274.9 2.4 2.7

171.8 7.4 4.2 2.9 7.5 7.9 4.4

148.7 2.1 4.7 7.7

11.0 17.5 32.6 2.4 2.9 3.4 6.4 4.4

52.0 3.2 6.5 1.4 1.9 1.9 2.9

65.7 2.8 4.3

14.1

94.9 9.1

25.1 2.8

161.9 4.9

21.6 5.4

12.3 6.7 4.9

48.3 14.1

36.9 3.0 4.9

June 1994

5.7 8.3 4.2 5.2 6.6 6.6 6.2 6.3

6.6 5.2

4.7 4.0

5.5 3.2 3.8 5.4 4.7 7.6 6.6 4.9 5.5 4.3

4.8 3.8 3.7 4.9 4.4 6.2 4.1 4.7 3.6 5.4 4.3 6.2

3.6 3.3 2.8 3.6 2.9 3.2 5.2

5.6 6.8 5.3 6.7

5.4 3.8 4.5 5.5

9.0 8.3 8.7 7.8 8.2 9.0 8.9 8.4 8.5

6.8 7.6 5.1


May 1995

4.4 5.7 3.2 4.0 6.2 5.0 4.6 5.0

5.0 4.0

4.8 3.7

5.5 3.9 3.7 5.2 4.4 8.2 6.9 4.9 4.8 4.6

4.6 4.0 5.4 5.0 3.9 5.8 3.8 4.8 3.1 4.7 4.4 5.6

3.0 2.9 2.5 2.6 2.2 2.3 4.0

4.4 5.2 4.7 4.7

4.8 3.1 4.1 5.4

6.6 6.0 6.1 5.7 6.2 6.3 5.8 6.3 6.4

6.0 5.9 4.0

June 1995P

5.5 7.0 4.5 4.8 7.0 6.3 5.7 6.1

5.6 4.4

4.2 3.4

4.5 2.9 2.9 4.2 4.0 7.0 5.6 4.2 4.1 4.0

4.7 3.3 4.7 4.9 4.0 5.8 3.9 4.4 3.2 5.0 4.6 5.8

3.3 3.0 2.6 2.7 2.9 3.0 4.5

4.8 5.8 4.7 5.2

5.0 3.6 4.5 5.4

8.0 8.1 7.3 6.3 7.3 7.6 7.0 7.7 7.7

5.7 5.8 4.0


Hawaii Honolulu

Idaho Boise City

Illinois1

Bloomington-Normal Champaign-Urbana Chicago Davenport-Moline-Rock Island Decatur Kankakee Peoria-Pekin Rockford Springfield








133





State and area


June 1994

2,718.7 1,230.6

3,227.8 75.7

1,772.4 126.1 68.7

191.0 154.6 85.1 41.6

287.1 251.9

4,788.2 275.3

82.7 2,146.4

203.2 532.2

74.2 223.4 232.4 195.6

2,600.5 122.3

1,593.0 65.2 89.6

1,262.3 219.4

2.725.0 908.1

1,292.5 153.7

443.4

889.5 133.4 365.4

782.3 573.5 163.5

633.1 99.7 98.7

123.6

4,019.8 173.6 653.8 280.0 582.6 506.1 986.6 168.5 64.0

778.0 334.9

61.3 74.6

May 1995

2,700.0 1,220.7

3,134.2 68.3

1,728.2 124.0 68.9

188.8 148.3 81.9 39.6

281.4 248.9

4,793.0 274.5 83.2

2,149.7 206.7 536.3

74.1 223.5 234.0 196.3

2,581.6 120.2

1,584.0 62.6 91.4

1,236.4 214.5

2,799.7 929.1

1,320.9 162.5

438.4

887.6 133.9 364.5

793.6 587.7 163.4

628.8 96.7 97.2

121.9

4,096.9 170.7 667.0 290.5 601.6 513.0 999.0 172.8 65.2

793.7 347.9

64.4 75.9

June 1995^

2,758.6 1,243.1

3,193.5 75.2

1,751.1 126.5 69.6

191.0 150.6 83.3 40.9

284.0 252.5

4,820.7 275.1 83.2

2,153.6 209.2 538.3

74.3 225.2 231.6 197.7

2,603.3 121.1

1,590.0 63.7 90.1

1,266.8 219.2

2,839.6 950.3

1,333.2 163.7

443.2

894.8 133.9 367.8

814.4 599.9 188.7

636.0 96.3 99.6

121.9

4,186.5 180.7 679.9 295.7 610.0 535.0

1,017.0 174.1 67.2

801.0 352.6

63.4 77.5

June 1994

148.2 80.2

193.6 4.2

94.2 8.8 4.7

14.0 10.4 7.8 3.3

19.6 13.8

269.1 10.1 5.0

117.9 15.9 24.7

4.7 10.3 10.0 12.1

111.8 8.5

58.9 2.5 3.9

102.8 12.4

133.8 43.6 62.9

5.3

21.1

27.9 3.8

12.5

52.3 39.6

9.4

28.9 4.9 4.9 4.9

285.7 15.1 49.5 27.7 32.5 31.4 72.5 10.0 6.7

56.5 17.8 5.6 3.6

Number

May 1995

131.2 68.4

143.1 3.2

70.6 6.4 3.5 9.7 7.1 6.2 2.2

13.6 10.5

242.5 10.2 4.5

100.8 12.7 22.3

4.1 11.2 8.6

10.8

86.4 6.6

43.1 1.7 3.1

73.0 8.7

133.7 38.3 64.9

5.9

21.8

21.7 3.4 9.0

44.1 33.1

8.3

22.7 3.8 3.7 4.1

272.7 16.1 46.5 28.6 30.7 30.1 66.5

9.6 6.4

44.7 13.1 5.0 2.8

. ..

Unemployed

June 1995P

150.2 77.7

180.2 3.9

88.4 8.5 4.7

11.2 9.2 7.3 2.7

17.3 13.4

301.7 13.0 5.3

124.6 16.5 30.7

5.0 14.2 11.7 13.0

107.5 7.1

55.4 2.1 4.0

94.2 10.7

141.8 42.2 65.5

6.4

24.0

24.4 3.7

10.3

51.1 38.3

9.4

22.3 3.4 3.9 4.1

279.8 15.2 46.6 29.0 31.2 31.2 68.7 10.2 6.7

54.3 17.9 5.4 3.4

June 1994

5.5 6.5

6.0 5.6 5.3 7.0 6.8 7.3 6.8 9.1 7.9 6.8 5.5

5.6 3.7 6.1 5.5 7.8 4.6 6.3 4.6 4.3 6.2

4.3 6.9 3.7 3.8 4.3

8.0 5.6

4.9 4.8 4.9 3.5

4.8

3.1 2.8 3.4

6.7 6.9 5.7

4.6 4.9 5.0 4.0

7.1 8.7 7.6 9.9 5.6 6.2 7.4 5.9

10.5

7.3 5.3 9.2 4.8


May 1995

4.9 5.6

4.6 4.7 4.1 5.1 5.0 5.2 4.8 7.6 5.6 4.8 4.2

5.1 3.7 5.4 4.7 6.2 4.2 5.5 5.0 3.7 5.5

3.3 5.5 2.7 2.7 3.4

5.9 4.1

4.8 4.1 4.9 3.7

5.0

2.4 2.5 2.5

5.6 5.6 5.1

3.6 3.9 3.8 3.4

6.7 9.5 7.0 9.8 5.1 5.9 6.7 5.5 9.9

5.6 3.8 7.8 3.7

June 1995?

5.4 6.2

5.6 5.2 5.0 6.7 6.7 5.9 6.1 8.8 6.6 6.1 5.3

6.3 4.7 6.3 5.8 7.9 5.7 6.7 6.3 5.1 6.6

4.1 5.9 3.5 3.4 4.4

7.4 4.9

5.0 4.4 4.9 3.9

5.4

2.7 2.8 2.8

6.3 6.4 5.5

3.5 3.6 3.9 3.3

6.7 8.4 6.8 9.8 5.1 5.8 6.8 5.9 9.9

6.6 5.1 8.5 4.4

Maryland Baltimore

Massachusetts1

Barnstable-Yarmouth Boston Brockton Fitchburg-Leominster Lawrence Lowell New Bedford Pittsfield Springfield Worcester

Michigan1

Ann Arbor Benton Harbor Detroit Flint Grand Rapids-Muskegon-Holland Jackson Kalamazoo-Battle-Creek Lansing-East Lansing Saginaw-Bay City-Midland

Minnesota Duluth-Superior Minneapolis-StPaul Rochester St. Cloud

Mississippi Jackson

Missouri Kansas City St. Louis LMA Springfield

Montana




New Jersey1

Atlantic-Cape May Bergen-Passaic Jersey City Middlesex-Somerset-Hunterdon.. Monmouth-Ocean Newark Trenton Vineland-Millville-Bridgeton



134





State and area


June 1994

8,702.1 460.9 130.5 585.2 119.0 43.9 65.5

1,397.9 3,852.3 3,208.1

173.6 582.5 371.3 146.6

3,621.0 107.8 698.7 618.5 549.9

350.7 51.4 94.2 68.2

5,592.9 352.0 198.8 810.5

1,097.7 776.2 470.6 159.1 76.1 88.2 59.4

315.8 282.5

1,546.6 27.9 42.1

503.1 382.3

1,680.8 158.1 82.9

947.6 166.1

6,004.0 279.1 64.8

140.6 341.2 107.7 236.7

2,482.6 1,170.8

180.9 349.2

55.9 62.3 59.1

191.3

507.5 581.6

May 1995

8,488.1 453.8 125.7 567.0 116.5 43.4 62.7

1,347.5 3,774.7 3,151.0

169.8 562.5 365.4 144.1

3,602.8 103.7 704.0 615.1 549.4

333.1 49.3 93.3 66.2

5,611.0 359.3 201.0 809.5

1,098.3 774.2 472.3 163.2 76.5 87.0 58.9

320.6 284.0

1,554.7 28.3 43.2

506.2 382.6

1,688.4 160.3 84.5

970.4 160.5

5,803.7 272.7 63.2

136.6 331.5 105.0 229.3

2,432.4 1,124.5

175.4 335.7

54.2 61.7 56.6

191.2

483.6 555.4

June 1995*

8,567.5 461.3 127.5 577.9 118.2 44.1 66.1

1,382.9 3,757.1 3,119.0

174.1 571.8 372.6 146.6

3,703.0 107.1 716.2 626.6 562.6

341.0 50.1 93.5 66.1

5,618.2 352.8 201.6 815.5

1,100.0 776.4 469.8 161.0 77.2 87.5 59.3

319.6 284.5

1,565.5 28.6 43.3

510.4 389.7

1,716.7 160.2 84.7

984.1 166.9

5,918.6 278.3 64.5

140.0 338.2 107.0 234.0

2,473.6 1,149.3

179.4 342.6

54.3 62.0 57.4

194.0

490.2 561.8

June 1994

620.4 24.1

9.6 38.7 9.2 2.6 4.2

89.2 308.5 272.1

11.0 33.5 23.0

8.6

150.9 3.9

26.4 21.4 16.1

14.8 2.1 2.9 2.9

304.1 18.0 11.9 39.9 62.7 31.9 22.6

8.7 4.4 7.6 4.6

17.7 18.5

90.3 1.2 2.4

23.0 23.0

91.5 8.7 5.9

42.6 8.8

345.8 16.6 3.9 8.7

13.9 8.6 9.9

144.4 68.8 8.6

24.1 3.5 2.3 3.6 9.0

33.0 40.5

Number

May 1995

525.2 21.3

6.6 28.5

5.9 2.2 3.9

65.0 284.2 257.0

8.2 25.3 18.9 7.7

151.3 3.6

25.3 21.2 15.8

9.3 1.5 2.4 1.7

250.4 15.2 9.3

32.4 50.0 25.8 18.9 6.6 4.0 4.6 3.4

15.0 15.8

76.4 1.2 2.3

20.3 16.6

79.4 7.6 5.4

35.6 7.4

340.2 16.7 4.1 8.6

14.5 8.0 9.9

140.4 65.6 10.0 22.7

3.1 2.3 4.2 8.6

28.7 34.2

Unemployed

June 1995P

512.2 20.5

6.2 28.4

5.3 1.9 3.3

65.0 280.3 253.0

8.1 23.5 18.9 7.1

172.4 4.1

27.5 24.0 18.6

11.5 1.9 2.6 2.2

261.1 15.8 9.5

34.5 50.7 27.1 19.7 6.9 4.0 5.1 3.5

15.7 16.1

72.7 1.2 2.0

19.3 17.0

88.8 8.4 6.1

41.2 8.2

353.7 17.5 3.9 9.3

15.6 8.5

10.1 147.0 69.1

9.9 23.7

2.8 2.3 4.0 9.3

30.4 37.6

June 1994

7.1 5.2 7.4 6.6 7.7 6.0 6.5 6.4 8.0 8.5 6.3 5.8 6.2 5.9

4.2 3.6 3.8 3.5 2.9

4.2 4.2 3.1 4.2

5.4 5.1 6.0 4.9 5.7 4.1 4.8 5.4 5.8 8.6 7.8 5.6 6.6

5.8 4.3 5.7 4.6 6.0

5.4 5.5 7.2 4.5 5.3

5.8 5.9 6.0 6.2 4.1 8.0 4.2 5.8 5.9 4.8 6.9 6.2 3.7 6.1 4.7

6.5 7.0


May 1995

6.2 4.7 5.2 5.0 5.0 5.0 6.2 4.8 7.5 8.2 4.8 4.5 5.2 5.3

4.2 3.5 3.6 3.4 2.9

2.8 3.0 2.5 2.6

4.5 4.2 4.6 4.0 4.6 3.3 4.0 4.1 5.2 5.3 5.7 4.7 5.6

4.9 4.1 5.2 4.0 4.3

4.7 4.8 6.4 3.7 4.6

5.9 6.1 6.5 6.3 4.4 7.6 4.3 5.8 5.8 5.7 6.7 5.7 3.7 7.3 4.5

5.9 6.2

June 1995P

6.0 4.4 4.8 4.9 4.5 4.4 5.0 4.7 7.5 8.1 4.7 4.1 5.1 4.8

4.7 3.8 3.8 3.8 3.3

3.4 3.7 2.8 3.3

4.6 4.5 4.7 4.2 4.6 3.5 4.2 4.3 5.2 5.9 5.8 4.9 5.7

4.6 4.1 4.7 3.8 4.4

5.2 5.2 7.2 4.2 4.9

6.0 6.3 6.1 6.7 4.6 7.9 4.3 5.9 6.0 5.5 6.9 5.2 3.7 6.9 4.8

6.2 6.7

New York1

Albany-Schenectady-Troy Binghamton Buffalo-Niagara Falls Dutchess County Elmira Glens Falls Nassau-Suffolk New York

New York City1

Newburgh Rochester Syracuse Utica-Rome

North Carolina1

Asheville Charlotte-Gastonia-Rock Hill Greensboro-Winston-Salem-High Point Raleigh-Durham-Chapel Hill


Ohio1

Akron Canton-Massillon Cincinnati Cleveland-Lorain-Elyria Columbus Dayton-Springfield Hamilton-Middletown Lima Mansfield Steubenville-Weirton Toledo Youngstown-Warren



Pennsylvania1

Allentown-Bethlehem-Easton Altoona Erie Harrisburg-Lebanon-Carlisle Johnstown Lancaster Philadelphia Pittsburgh Reading Scranton-Wilkes-Barre-Hazelton Sharon State College Williamsport York



135





State and area


June 1994

1,860.0 249.0 257.0 470.4

385.0 45.2 88.8

2,701.4 228.2 226.5 345.8 512.3 605.7

9,538.6 58.0

108.7 585.5 186.0 109.2 126.8 67.0

179.2 1,699.6

286.4 821.5 127.6

1,986.2 107.7 69.1

102.6 119.9 184.3 121.6 50.4

710.5 47.9 58.6 84.4 43.1 98.0 64.4

985.7 142.1 635.0

323.0 94.6

3,469.5 71.7 58.8

106.3 726.1 504.5 130.5

2,704.4 187.0 295.9

1,170.4

May 1995

1,869.2 245.8 262.2 483.0

378.7 43.2 88.3

2,657.5 221.7 221.3 333.2 508.1 609.7

9,580.7 58.9

110.3 614.5 182.3 105.7 124.5 70.2

175.8 1,710.8

286.5 824.7 124.3

1,993.6 110.3 70.5

100.8 119.1 183.6 120.4 50.5

721.8 48.1 56.6 84.1 42.2

101.0 64.3

974.7 141.0 628.2

320.3 95.2

3,539.3 74.7 59.9

109.4 734.8 520.9 134.8

2,807.7 199.2 316.6

1,231.1

June 1995*

1,882.4 247.2 263.6 485.9

388.5 44.5 89.8

2,724.4 226.5 224.9 343.1 518.2 626.3

9,788.3 58.9

112.1 620.1 187.7 107.9 127.9 68.9

182.3 1,750.3

294.4 841.6 127.9

2,036.8 113.0 73.2

103.1 122.3 186.9 122.9 50.9

738.4 48.4 57.3 85.9 43.0

102.0 66.3

1,001.1 145.5 643.6

322.9 95.8

3,576.0 75.2 59.6

109.5 744.8 524.8 136.2

2,826.6 197.1 314.7

1,220.9

June 1994

121.0 16.6 12.0 23.1

13.4 1.5 2.3

145.4 11.7 13.9 14.7 27.8 23.7

682.8 3.6 5.1

22.5 20.9

8.5 17.5 2.4

18.5 100.4 32.0 49.3 12.0

143.8 6.5 6.8 9.6 6.6

33.5 10.2 2.8

39.3 3.2 5.9 5.6 3.0 5.5 4.2

40.1 5.1

24.4

14.7 3.2

183.4 3.0 5.6 5.4

44.4 24.8

5.8

163.7 9.0

19.2 66.6

Number

May 1995

87.4 11.7 9.0

15.3

8.4 1.2 1.4

114.3 9.4 9.7

11.4 21.9 18.1

538.3 3.2 4.2

19.3 15.9 7.4

14.3 2.3

14.0 76.4 25.0 37.2

8.8 109.2

5.0 9.6 7.0 4.5

30.8 6.9 2.3

30.5 2.2 4.0 4.1 2.4 4.8 3.1

33.4 4.4

20.0

12.2 2.6

157.3 2.5 5.8 4.6

34.7 20.1

4.8

163.9 9.8

18.3 61.5

Unemployed

June 1995P

92.8 12.1 9.9

16.5

10.1 1.4 1.6

148.2 12.3 12.3 14.4 27.9 24.1

664.2 3.8 5.6

22.3 20.3

9.0 17.2 2.8

18.5 96.2 30.8 44.4 10.9

133.6 6.2

12.3 9.2 6.5

33.9 8.5 2.5

40.3 2.7 4.7 5.3 3.1 5.8 3.9

38.4 5.3

22.7

12.5 2.7

169.5 2.5 5.3 4.5

39.2 22.2

5.2

163.3 9.8

18.5 62.5

June 1994

6.5 6.7 4.7 4.9

3.5 3.4 2.6

5.4 5.1 6.1 4.2 5.4 3.9

7.2 6.2 4.7 3.8

11.2 7.8

13.8 3.6

10.3 5.9

11.2 6.0 9.4 7.2 6.1 9.8 9.4 5.5

18.2 8.4 5.5 5.5 6.6

10.1 6.6 6.9 5.6 6.5

4.1 3.6 3.8

4.6 3.4

5.3 4.2 9.5 5.0 6.1 4.9 4.4

6.1 4.8 6.5 5.7


May 1995

4.7 4.8 3.4 3.2

2.2 2.7 1.6

4.3 4.2 4.4 3.4 4.3 3.0

5.6 5.4 3.8 3.1 8.7 7.0

11.5 3.2 7.9 4.5 8.7 4.5 7.1 5.5 4.5

13.6 7.0 3.8

16.8 5.7 4.5 4.2 4.7 7.1 4.9 5.7 4.8 4.8

3.4 3.1 3.2

3.8 2.7

4.4 3.4 9.8 4.2 4.7 3.9 3.6

5.8 4.9 5.8 5.0

June 1995P

4.9 4.9 3.8 3.4

2.6 3.1 1.8

5.4 5.4 5.5 4.2 5.4 3.8

6.8 6.5 5.0 3.6

10.8 8.3

13.5 4.0

10.1 5.5

10.5 5.3 8.6 6.6 5.5

16.8 8.9 5.3

18.2 6.9 4.9 5.5 5.6 8.3 6.1 7.2 5.7 5.9

3.8 3.6 3.5

3.9 2.8

4.7 3.3 9.0 4.1 5.3 4.2 3.8

5.8 5.0 5.9 5.1




Texas1

Abilene Amarillo Austin-San Marcos Beaumont-Port Arthur Brazoria Brownsville-Harlingen-San Benito Bryan-College Station Corpus Christi Dallas El Paso Fort Worth-Arlington Galveston-Texas City Houston Killeen-Temple Laredo Longview-Marshall Lubbock McAllen-Edinburg-Mission Odessa-Midland San Angelo San Antonio Sherman-Denison Texarkana Tyler Victoria Waco Wichita Falls

Utah Provo-Orem Salt Lake City-Odgen

Vermont Burlington

Virginia Charlottesville Danville Lynchburg Norfolk-Virginia Beach-Newport News Richmond-Petersburg Roanoke

Washington Spokane Tacoma Seattle-Bellevue-Everett


136



C-3. Labor force status by State and selected metropolitan areas—Continued (Numbers in thousands)

State and area


June 1994

May June 1995P

Unemployed

June 1994

May 1995

June 1995P


June 1994

May 1995



Wyoming Casper

795.5 127.3 137.1 75.3 71.1

2,863.3 216.2

75.7 123.3

77.5 73.5 69.9

244.5 794.7

94.3 61.4 70.2

254.3 30.9

796.4 128.0 135.9 75.1 71.7

2,845.6 214.5

75.9 123.4 78.4 73.5 70.2

248.2 784.5

90.6 59.9 68.9

252.4 31.2

801.4 129.6 136.0 76.2 71.8

2,910.6 219.3

75.7 126.0 79.7 73.8 70.8

250.1 801.6

92.3 62.4 70.0

260.4 31.3

68.7 8.4

11.6 4.9 5.0

143.2 9.6 3.8 5.7 4.2 4.0 2.8 6.0

42.6 5.9 2.3 4.3

11.9 1.7

60.5 7.0 9.2 5.1 4.5

106.2 7.1 2.7 4.0 3.4 2.8 2.5 4.5

27.7 3.8 1.7 3.0

11.2 1.6

59.2 6.8 8.8 5.2 4.5

108.4 6.8 2.7 4.2 3.4 2.8 2.5 4.4

30.8 4.1 2.1 3.1

10.8 1.5

8.6 6.6 8.5 6.6 7.0

5.0 4.5 5.0 4.6 5.5 5.5 4.0 2.5 5.4 6.3 3.8 6.1

4.7 5.5

7.6 5.5 6.8 6.8 6.3

3.7 3.3 3.6 3.2 4.3 3.8 3.6 1.8 3.5 4.2 2.8 4.3

4.4 5.1

1 Data are obtained directly from the Current Population Survey (CPS). See the Explanatory Notes for Region, State, and Area Labor Force Data.

p = preliminary. NOTE: Data refer to place of residence. All estimates are provisional and will

be revised when new benchmark and population information becomes available. Area definitions are published annually in the May issue of this publication. Estimates for metropolitan areas in New York have been revised.

137


Explanatory Notes and Estimates of Error

Introduction

The statistics in this periodical are compiled from two major sources: (1) household interviews, and (2) reports from employers.

Data based on household interviews are obtained from the Current Population Survey (CPS), a sample survey of the population 16 years of age and over. The survey is conducted each month by the Bureau of the Census for the Bureau of Labor Statistics and provides comprehensive data on the labor force, the employed, and the unemployed, classified by such characteristics as age, sex, race, family relationship, marital status, occupation, and industry attachment. The survey also provides data on the characteristics and past work experience of those not in the labor force. The information is collected by trained interviewers from a sample of about 60,000 households located in 729 sample areas. These areas are chosen to represent all counties and independent cities in the U.S., with coverage in 50 States and the District of Columbia. The data collected are based on the activity or status reported for the calendar week including the 12th of the month.

Data based on establishment records are compiled each month from mail questionnaires and telephone interviews by the Bureau of Labor Statistics, in cooperation with State agencies. The Current Employment Statistics (CES) survey is designed to provide industry information on non-farm wage and salary employment, average weekly hours, average hourly earnings, and average weekly earnings for the Nation, States, and metropolitan areas. The employment, hours, and earnings series are based on payroll reports from a sample of about 390,000 establishments employing over 47 million nonfarm wage and salary workers. The data relate to all workers, full or part time, who receive pay during the payroll period which includes the 12th of the month.

RELATION BETWEEN THE HOUSEHOLD AND ESTABLISHMENT SERIES

The household and establishment data complement one another, each providing significant types of information that the other cannot suitably supply. Population characteristics, for example, are obtained only from the household survey, whereas detailed industrial classifications are much more reliably derived from establishment reports.

Data from these two sources differ from each other because of variations in definitions and coverage, source of

information, methods of collection, and estimating procedures. Sampling variability and response errors are additional reasons for discrepancies. The major factors which have a differential effect on the levels and trends of the two data series are as follows.

Employment

Coverage. The household survey definition of employment comprises wage and salary workers (including domestics and other private household workers), self-employed persons, and unpaid workers who worked 15 hours or more during the reference week in family-operated enterprises. Employment in both agricultural and nonagricultural industries is included. The payroll survey covers only wage and salary employees on the payrolls of nonfarm establishments.

Multiple jobholding. The household survey provides information on the work status of the population without duplication, since each person is classified as employed, unemployed, or not in the labor force. Employed persons holding more than one job are counted only once. In the figures based on establishment reports, persons who worked in more than one establishment during the reporting period are counted each time their names appear on payrolls.

Unpaid absences from jobs. The household survey includes among the employed all civilians who had jobs but were not at work during the reference week—that is, were not working but had jobs from which they were temporarily absent because of illness, vacation, bad weather, childcare problems, labor-management disputes, or because they were taking time off for various other reasons, even if they were not paid by their employers for the time off. In the figures based on payroll reports, persons on leave paid for by the company are included, but those on leave without pay for the entire payroll period are not.

Hours of work The household survey measures hours worked for all

workers whereas the payroll survey measures hours for private production and nonsupervisory workers paid for by employers. In the household survey, all persons with a job but not at work are excluded from the hours distributions and the computations of average hours at work. In the pay-

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roll survey, production or nonsupervisory employees on paid vacation, paid holiday, or paid sick leave are included and assigned the number of hours for which they were paid during the reporting period.

Earnings The household survey measures the earnings of wage

and salary workers in all occupations and industries in both the private and public sectors. Data refer to the usual earnings received from the worker's sole or primary job. Data from the establishment survey generally refer to average earnings of production and related workers in mining and manufacturing, construction workers in construction, and nonsupervisory employees in private service-producing industries. For a comprehensive discussion of the various earnings series available from the household and establishment surveys, see BLS Measures of Compensation, BLS Bulletin 2239 (1986).

COMPARABILITY OF HOUSEHOLD DATA WITH OTHER SERIES

Unemployment insurance data. The unemployed total from the household survey includes all persons who did not have a job during the reference week, were currently available for a job, and were looking for work or were waiting to be called back to a job from which they had been laid off, whether or not they were eligible for unemployment insurance. Figures on unemployment insurance claims, prepared by the Employment and Training Administration of the U.S. Department of Labor, exclude, in addition to otherwise ineligible persons who do not file claims for benefits, persons who have exhausted their benefit rights, new workers who have not earned rights to unemployment insurance, and persons losing jobs not covered by unemployment insurance systems (some workers in agriculture, domestic services, and religious organizations, and self-employed and unpaid family workers).

In addition, the qualifications for drawing unemployment compensation differ from the definition of unemployment used in the household survey. For example, persons with a job but not at work and persons working only a few hours during the week are sometimes eligible for unemployment compensation but are classified as employed rather than unemployed in the household survey.

For an examination of the similarities and differences between State insured unemployment and total unemployment, see "Measuring Total and State Insured Unemploy

ment" by Gloria P. Green in the June 1971 issue of the Monthly Labor Review.

Agricultural employment estimates of the U.S. Department of Agriculture. The principal differences in coverage are the inclusion of persons under 16 in the National Agricultural Statistics Service series and the treatment of dual jobholders, who are counted more than once if they work on more than one farm during the reporting period. There are also wide differences in sampling techniques and data collecting and estimating methods, which cannot be readily measured in terms of their impact on differences in the levels and trends of the two series.

COMPARABILITY OF PAYROLL EMPLOYMENT DATA WITH OTHER SERIES

Statistics on manufacturers and business, Bureau of the Census. BLS establishment statistics on employment differ from employment counts derived by the Bureau of the Census from its censuses or sample surveys of manufacturing and business establishments. The major reasons for noncomparability are different treatment of business units considered parts of an establishment, such as central administrative offices and auxiliary units; the industrial classification of establishments; and different reporting patterns by multiunit companies. There are also differences in the scope of the industries covered, e.g., the Census of Business excludes professional services, public utilities, and financial establishments, whereas these are included in the BLS statistics.

County Business Patterns, Bureau of the Census. Data in County Business Patterns (CBP) differ from BLS establishment statistics in the treatment of central administrative offices and auxiliary units. Differences may also arise because of industrial classification and reporting practices. In addition, CBP excludes interstate railroads and most of government, and coverage is incomplete for some of the nonprofit agencies.

Employment covered by State unemployment insurance programs. Most nonfarm wage and salary workers are covered by the unemployment insurance programs. However, some employees, such as those working in parochial schools and churches, are not covered by unemployment insurance, whereas they are included in the BLS establishment statistics.

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Household Data ("A" tables, monthly; "D" tables, quarterly)

COLLECTION AND COVERAGE

Statistics on the employment status of the population and related data are compiled by BLS using data from the Current Population Survey (CPS). This monthly survey of households is conducted for BLS by the Bureau of the Census through a scientifically selected sample designed to represent the civilian noninstitutional population. Respondents are interviewed to obtain information about the employment status of each member of the household 16 years of age and over. The inquiry relates to activity or status during the calendar week, Sunday through Saturday, which includes the 12th day of the month. This is known as the "reference week." Actual field interviewing is conducted in the following week, referred to as the "survey week."

Each month about 60,000 occupied units are eligible for interview. Some 2,600 of these households are contacted but interviews are not obtained because the occupants are not at home after repeated calls or are unavailable for other reasons. This represents a noninterview rate for the survey that ranges between 4 and 5 percent. In addition to the 60,000 occupied units, there are 11,500 sample units in an average month which are visited but found to be vacant or otherwise not eligible for enumeration. Part of the sample is changed each month. The rotation plan, as explained later, provides for three-fourths of the sample to be common from one month to the next, and one-half to be common with the same month a year earlier.

CONCEPTS AND DEFINITIONS

The concepts and definitions underlying labor force data have been modified, but not substantially altered, since the inception of the survey in 1940; those in use as of January 1994 are as follows:

Civilian noninstitutional population. Included are persons 16 years of age and older residing in the 50 States and the District of Columbia who are not inmates of institutions (e.g., penal and mental facilities, homes for the aged), and who are not on active duty in the Armed Forces.

Employed persons. All persons who, during the reference week, (a) did any work at all (at least 1 hour) as paid employees, worked in their own business, profession, or on their own farm, or who worked 15 hours or more as unpaid workers in an enterprise operated by a member of the family, and (b) all those who were not working but who had jobs or businesses from which they were temporarily absent because of vacation, illness, bad weather, child-care problems, mater

nity or paternity leave, labor-management dispute, job training, or other family or personal reasons, whether or not they were paid for the time off or were seeking other jobs.

Each employed person is counted only once, even if he or she holds more than one job. For purposes of occupation and industry classification, multiple jobholders are counted in the job at which they worked the greatest number of hours during the reference week.

Included in the total are employed citizens of foreign countries who are temporarily in the United States but not living on the premises of an embassy. Excluded are persons whose only activity consisted of work around their own house (painting, repairing, or own home housework) or volunteer work for religious, charitable, and other organizations.

Unemployed persons. All persons who had no employment during the reference week, were available for work, except for temporary illness, and had made specific efforts to find employment some time during the 4-week-period ending with the reference week. Persons who were waiting to be recalled to a job from which they had been laid off need not have been looking for work to be classified as unemployed.

Duration of unemployment. This represents the length of time (through the current reference week) that persons classified as unemployed had been looking for work. For persons on layoff, duration of unemployment represents the number of full weeks they had been on layoff. Mean duration is the arithmetic average computed from single weeks of unemployment; median duration is the midpoint of a distribution of weeks of unemployment.

Reason for unemployment. Unemployment is also categorized according to the status of individuals at the time they began to look for work. The reasons for unemployment are divided into five major groups: (1) Job losers, comprised of (a) persons on temporary layoff, who have been given a date to return to work or who expect to return within 6 months (persons on layoff need not be looking for work to qualify as unemployed), and (b) permanent job losers, whose employment ended involuntarily and who began looking for work; (2) Job leavers are persons who quit or otherwise terminated their employment voluntarily and immediately began looking for work; (3) Persons who completed temporary jobs, who began looking for work after the jobs ended; (4) Reentrants are persons who previously worked but were out of the labor force prior to beginning their job search; (5) New entrants are persons who never worked. Each of these five categories of the unemployed can be expressed as a proportion of the entire civilian labor force; the sum of the four rates thus equals the unemployment rate for all civilian work-

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ers. (For statistical presentation purposes, "job losers" and "persons who completed temporary jobs" are combined into a single category until seasonal adjustments can be developed for the separate categories.)

Jobseekers. All unemployed persons who made specific efforts to find a job sometime during the 4-week period preceding the survey week are classified as jobseekers. Jobseekers do not include persons classified as on temporary layoff, who although often looking for work, are not required to do so to be classified as unemployed. Jobseekers are grouped by the methods used to seek work. Only active methods—which have the potential to result in a job offer without further action on the part of the jobseeker—qualify as job search. Examples include going to an employer directly or to a public or private employment agency, seeking assistance from friends or relatives, placing or answering ads, or using some other active method. Examples of the "other" category include being on a union or professional register, obtaining assistance from a community organization, or waiting at a designated labor pickup point. Passive methods, which do not qualify as job search, include reading (as opposed to answering or placing) "help wanted" ads and taking a job training course.

Labor force. This group comprises all persons classified as employed or unemployed in accordance with the criteria described above.

Unemployment rate. The unemployment rate represents the number unemployed as a percent of the labor force.

Participation rate. This represents the proportion of the population that is in the labor force.

Employment-population ratio. This represents the proportion of the population that is employed.

Not in the labor force. Included in this group are all persons in the civilian noninstitutional population who are neither employed nor unemployed. Information is collected on their desire for and availability to take a job at the time of the CPS interview, job search activity in the prior year, and reason for not looking in the 4 week period prior to the survey week. This group includes discouraged workers, defined as persons not in the labor force who want and are available for a job and who have looked for work sometime in the past 12 months (or since the end of their last job if they held one within the past 12 months), but are not currently looking, because they believe there are no jobs available or there are none for which they would qualify.

Persons classified as not in the labor force who are in the sample for either their fourth or eighth month are asked additional questions relating to job history and workseeking intentions. These latter data are available on a quarterly basis.

Occupation, industry, and class of worker. This information for the employed applies to the job held in the reference week. Persons with two or more jobs are classified in the job at which they worked the greatest number of hours. The unemployed are classified according to their last job. The occupational and industrial classification of CPS data is based on the coding systems used in the 1990 census.

The class-of-worker breakdown assigns workers to the following categories: Private and government wage and salary workers, self-employed workers, and unpaid family workers. Wage and salary workers receive wages, salary, commissions, tips, or pay in kind from a private employer or from a government unit. Self-employed persons are those who work for profit or fees in their own business, profession, trade, or farm. Only the unincorporated self-employed are included in the self-employed category in the class of worker typology. Self-employed persons who respond that their businesses are incorporated are included among wage and salary workers, because technically, they are paid employees of a corporation. Unpaid family workers are persons working without pay for 15 hours a week or more on a farm or in a business operated by a member of the household to whom they are related by birth or marriage.

Multiple jobholders. These are employed persons who, during the reference week, had either two or more jobs as a wage and salary worker, were self-employed and also held a wage and salary job, or worked as an unpaid family worker and also held a wage and salary job. A person employed only in private households (cleaner, gardener, babysitter, etc.) who worked for two or more employers during the reference week is not counted as a multiple jobholder, since working for several employers is considered an inherent characteristic of private household work. Also excluded are self-employed persons with multiple businesses and persons with multiple jobs as unpaid family workers.

Hours of work. These statistics relate to the actual number of hours worked during the reference week. For example, persons who normally work 40 hours a week but were off on the Columbus Day holiday would be reported as working 32 hours, even though they were paid for the holiday. For persons working in more than one job, the published figures relate to the number of hours worked in all jobs during the week; all the hours are credited to the major job. Unpublished data are available for the hours worked in each job and for usual hours.

At work part time for economic reasons. Sometimes referred to as involuntary part time, this category refers to individuals who gave an economic reason for working 1 to 34 hours during the reference week. Economic reasons include slack work or unfavorable business conditions, inability to find full-time work, and seasonal declines in demand. Those who usually work part time must also indicate that they want and are available to work full time to be classified as on part time for economic reasons.

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At work part time for noneconomic reasons. This group includes those persons who usually work part time and were at work 1 to 34 hours during the reference week for a non-economic reason. Noneconomic reasons include, for example: Illness or other medical limitations, child-care problems or other family or personal obligations, school or training, retirement or Social Security limits on earnings, and being in a job where full-time work is less than 35 hours. The group also includes those who gave an economic reason for usually working 1 to 34 hours but said they do not want to work full time or were unavailable for such work.

Usual full- or part-time status. Data on persons "at work" exclude persons who were temporarily absent from a job and therefore classified in the zero-hours-worked category, "with a job but not at work." These are persons who were absent from their jobs for the entire week for such reasons as bad weather, vacation, illness, or involvement in a labor dispute. In order to differentiate a person's normal schedule from their activity during the reference week, persons are also classified according to their usual full- or part-time status. In this context, full-time workers are those who usually worked 35 hours or more (at all jobs combined). This group will include some individuals who worked less than 35 hours in the reference week for either economic or noneconomic reasons and those who are temporarily absent from work. Similarly, part-time workers are those who usually work less than 35 hours per week (at all jobs), regardless of the number of hours worked in the reference week. This may include some individuals who actually worked more than 34 hours in the reference week, as well as those who are temporarily absent from work. Thefull-time labor force includes all employed persons who usually work full time and unemployed persons who are either looking for full-time work or are on layoff from full-time jobs. The part-time labor force consists of employed persons who usually work part time and unemployed persons who are seeking or are on layoff from part-time jobs. Unemployment rates for full- and part-time workers are calculated using the concepts of the full-and part-time labor force.

White, black, and other. These are terms used to describe the race of persons. Included in the "other" group are American Indians, Alaskan Natives, and Asians and Pacific Islanders. Because of the relatively small sample size, data for "other" races are not published. In the enumeration process, race is determined by the household respondent.

Hispanic origin. This refers to persons who identified themselves in the enumeration process as Mexican, Puerto Rican, Cuban, Central or South American, or of other Hispanic origin or descent. Persons of Hispanic origin may be of any race; thus they are included in both the white and black population groups.

Vietnam-era veterans. These are persons who served in the

Armed Forces of the United States between August 5,1964, and May 7, 1975. Published data are limited to men in the civilian noninstitutional population; i.e., veterans in institutions and women are excluded. Nonveterans are persons who never served in the Armed Forces.

Usual weekly earnings. Data represent earnings before taxes and other deductions, and include any overtime pay, commissions, or tips usually received (at the main job in the case of multiple jobholders.) Earnings reported on a basis other than weekly (e.g., annual, monthly, hourly) are converted to weekly. The term "usual" is as perceived by the respondent. If the respondent asks for a definition of usual, interviewers are instructed to define the term as more than half the weeks worked during the past 4 or 5 months. Data refer to wage and salary workers (excluding self-employed persons who respond that their business's were incorporated) who usually work full time on their sole or primary job.

Median earnings. These figures indicate the value which divides the earnings distribution into two equal parts, one part having values above the median and the other having values below the median. The medians as shown in this publication are calculated by linear interpolation of the $50 centered interval within which each median falls. Data expressed in constant dollars are deflated by the Consumer Price Index for All Urban Consumers (CPI-U).

Single, never married; married, spouse present; and other marital status. These are the terms used to define the marital status of individuals at the time of interview. Married, spouse present, applies to husband and wife if both were living in the same household, even though one may be temporarily absent on business, vacation, on a visit, in a hospital, etc. Other marital status applies to persons who are married, spouse absent; widowed; or divorced. Married, spouse absent relates to persons who are separated due to marital problems, as well as husbands and wives who are living apart because one or the other was employed elsewhere, on duty with the Armed Forces, or any other reasons.

Household. A household consists of all persons—related family members and all unrelated persons—who occupy a housing unit and have no other usual address. A house, an apartment, a group of rooms, or a single room is regarded as a housing unit when occupied or intended for occupancy as separate living quarters. A householder is the person (or one of the persons) in whose name the housing unit is owned or rented. The term is never applied to either husbands or wives in married-couple families but relates only to persons in families maintained by either men or women without a spouse.

Family. A family is defined as a group of two or more persons residing together who are related by birth, marriage, or adoption; all such persons are considered as members of one family. Families are classified either as married-couple fami-

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lies or as families maintained by women or men without spouses. A family maintained by a woman or a man is one in which the householder is either single, widowed, divorced, or married, spouse absent. Data on the earnings of families exclude all those in which there is no wage or salary earner or in which the husband, wife, or other person maintaining the family is either self-employed or in the Armed Forces.

HISTORICAL COMPARABILITY

Changes in concepts and methods While current survey concepts and methods are very simi

lar to those introduced at the inception of the survey in 1940, a number of changes have been made over the years to improve the accuracy and usefulness of the data. Some of the most important changes include:

• In 1945, the questionnaire was radically changed with the introduction of four basic employment questions. Prior to that time, the survey did not contain specific question wording, but rather relied on a complicated scheme of activity prioritization.

• In 1953, the current 4-8-4 rotation system was adopted, whereby households are interviewed for 4 consecutive months, leave the sample for 8 months, and then return to the sample for the same 4 months of the following year. Before this system was introduced, households were interviewed for 6 consecutive months and then replaced. The new system provided some year-to-year overlap in the sample, thereby improving measurement over time.

• In 1955, the survey reference week was changed to the calendar week including the 12th day of the month, for greater consistency with the reference period used for other labor-related statistics. Previously, the calendar week containing the 8th day of the month had been used as the reference week.

• In 1957, the employment definition was modified slightly as a result of a comprehensive interagency review of labor force concepts and methods. Two relatively small groups of persons classified as employed, under "with a job but not at work," were assigned to different classifications. Persons on layoff with definite instructions to return to work within 30 days of the layoff date, and persons volunteering that they were waiting to start a new wage and salary job within 30 days of interview, were, for the most part, reassigned to the unemployed classification. The only exception was the small subgroup in school during the reference week but waiting to start new jobs, which was transferred to not in the labor force.

• In 1967, more substantive changes were made as a result of the recommendations of the President's Committee to Appraise Employment and Unemployment Statistics (the

Gordon Committee). The principal improvements were as follows:

a) A 4-week job search period and specific questions on jobseeking activity were introduced. Previously, the questionnaire was ambiguous as to the time period for jobseeking and there were no specific questions concerning job-search methods.

b) An availability test was introduced whereby a person must be currently available for work in order to be classified as unemployed. Previously, there was no such requirement. This revision to the concept mainly affected students, who, for example, may begin to look for summer jobs in the spring although they will not be available until June or July. Such persons, until 1967, had been classified as unemployed but since have been assigned to the "not in the labor force" category.

c) Persons "with a job but not at work" because of strikes, bad weather, etc., who volunteered that they were looking for work, were shifted from unemployed status to employed.

d) The lower age limit for official statistics on employment, unemployment, and other labor force concepts was raised from 14 to 16 years. Historical data for most major series have been revised to provide consistent information based on the new minimum age limit.

e) New questions were added to obtain additional information on persons not in the labor force, including those referred to as "discouraged workers," defined as persons who indicate that they want a job but are not currently looking because they believe there are no jobs available or none for which they would qualify.

f) New "probing" questions were added to the questionnaire in order to increase the reliability of information on hours of work, duration of unemployment, and self-employment.

• In 1994, major changes to the Current Population Survey (CPS) were introduced, which included a complete redesign of the questionnaire and the use of computer-assisted interviewing for the entire survey. In addition, there were revisions to some of the labor force concepts and definitions, including the implementation of some changes recommended in 1979 by the National Commission on Employment and Unemployment Statistics (NCEUS, also known as the Levitan Commission). Some of the major changes to the survey were:

a) The introduction of a redesigned and automated questionnaire. The CPS questionnaire was totally redesigned in order to obtain more accurate, comprehensive, and relevant

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information, and to take advantage of state-of-the-art computer interviewing techniques.

b) The addition of two, more objective, criteria to the definition of discouraged workers. Prior to 1994, to be classified as a discouraged worker, a person must have wanted a job and be reported as not currently looking because of a belief that no jobs were available or that there were none for which he or she would qualify. Beginning in 1994, persons classified as discouraged must also have looked for a job within the past year (or since their last job, if they worked during the year), and must have been available for work during the reference week (a direct question on availability was added in 1994; prior to 1994, availability had been inferred from responses to other questions). These changes were made because the NCEUS and others felt that the previous definition of discouraged workers was too subjective, relying mainly on an individual's stated desire for a job and not on prior testing of the labor market.

c) Similarly, the identification of persons employed part time for economic reasons (working less than 35 hours in the reference week because of poor business conditions or because of an inability to find full-time work) was tightened by adding two new criteria for persons who usually work part time: They must want and be available for full-time work. Previously, such information was inferred. (Persons who usually work full time but worked part time for an economic reason during the reference week are assumed to meet these criteria.)

d) Specific questions were added about the expectation of recall for persons who indicate that they are on layoff. To be classified as "on temporary layoff," persons must expect to be recalled to their jobs. Previously, the questionnaire did not include explicit questions about the expectation of recall.

e) Persons volunteering that they were waiting to start a new job within 30 days must have looked for work in the 4 weeks prior to the survey in order to be classified as unemployed. Previously, such persons did not have to meet the job-search requirement in order to be included among the unemployed.

For additional information on changes in CPS concepts and methods, see Concepts and Methods used in Labor Force Statistics Derived from the Current Population Survey, BLS Report 463, October 1976 and "Overhauling the Current Population Survey—Why is it Necessary to Change?," "Redesigning the Questionnaire," and "Evaluating Changes in the Estimates," Monthly Labor Review, September 1993, and "Revisions in the Current Population Survey Effective January 1994," in the February 1994 issue of this publication.

Noncomparability ot labor force levels In addition to the refinements in concepts, definitions, and

methods made over the years, other changes have also affected the comparability of the labor force data.

• Beginning in 1953, as a result of introducing data from the 1950 census into the estimating procedures, population levels were raised by about 600,000; labor force, total employment, and agricultural employment were increased by about 350,000, primarily affecting the figures for totals and men; other categories were relatively unaffected.

• Beginning in 1960, the inclusion of Alaska and Hawaii resulted in an increase of about 500,000 in the population and about 300,000 in the labor force. Four-fifths of this increase was in nonagricultural employment; other labor force categories were not appreciably affected.

• Beginning in 1962, the introduction of data from the 1960 census reduced the population by about 50,000 and labor force and employment by about 200,000; unemployment totals were virtually unchanged.

• Beginning in 1972, information from the 1970 census was introduced into the estimation procedures, increasing the population by about 800,000; labor force and employment totals were raised by a little more than 300,000; unemployment levels and rates were essentially unchanged.

• In March 1973, a subsequent population adjustment based on the 1970 census was introduced. This adjustment, which affected the white and black-and-other groups but had little effect on totals, resulted in the reduction of nearly 300,000 in the white population and an increase of the same magnitude in the black-and-other population. Civilian labor force and total employment figures were affected to a lesser degree; the white labor force was reduced by 150,000, 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 method used to prepare independent estimates of the civilian noninstitutional population was modified to an "inflation-deflation" approach. This change in the derivation of the estimates had its greatest impact on estimates of 20- to 24-year old men—particularly those of the black-and-other population—but had little effect on estimates of the total population 16 years and over. Additional information on the adjustment procedure appears in "CPS Population Controls Derived from Inflation-Deflation Method of Estimation," in the February 1974 issue of this publication.

• Effective in July 1975, as a result of the large inflow of Vietnamese refugees into the United States, the total and

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black-and-other independent population controls for persons 16 years and over were adjusted upward by 76,000 — (30,000 men and 46,000 women). The addition of the refugees increased the black-and-other population by less than 1 percent in any age-sex group, with all of the changes being confined to the "other" component of the population.

• Beginning in January 1978, the introduction of an expansion in the sample and revisions in the estimation procedures resulted in an increase of about 250,000 in the civilian labor force and employment totals; unemployment levels and rates were essentially unchanged. An explanation of the procedural changes and an indication of the differences appear in "Revisions in the Current Population Survey in January 1978" in the February 1978 issue of this publication.

• Beginning in October 1978, the race of the individual was determined by the household respondent for the incoming rotation group households, rather than by the interviewer as before. The purpose of this change was to provide more accurate estimates of characteristics by race. Thus, in October 1978, one-eighth of the sample households had race determined by the household respondent and seven-eighths of the sample households had race determined by interviewer observation. It was not until January 1980 that the entire sample had race determined by the household respondent. The new procedure had no significant effect on the estimates.

• Beginning in January 1979, the first-stage ratio adjustment method was changed in the CPS estimation procedure. Differences between the old and new procedures existed only for metropolitan and nonmetropolitan area estimates, not for the total United States. The reasoning behind the change and an indication of the differences appear in "Revisions in the Current Population Survey in January 1979" in the February 1979 issue of this publication.

• Beginning in January 1982, the second-stage ratio adjustment method was changed. The purpose of the change and an indication of its effect on national estimates of labor force characteristics appear in "Revisions in the Current Population Survey Beginning in January 1982" in the February 1982 issue of this publication. In addition, current population estimates used in the second-stage estimation procedure were derived from information obtained from the 1980 census, rather than the 1970 census. This change caused substantial increases in the total population and in the estimates of persons in all labor force categories. Rates for labor force characteristics, however, remained virtually unchanged. Some 30,000 labor force series were adjusted back to 1970 to avoid major breaks in series. The adjustment procedure used is also described in the February 1982 article cited above. The revisions did not, however, smooth out the breaks in series occurring between 1972 and 1979 (described above), and data users should consider them when

comparing estimates from different periods.

• Beginning in January 1983, the first-stage ratio adjustment method was updated to incorporate data from the 1980 census. The purpose of the change and an indication of its effect on national estimates of labor force characteristics appear in "Revisions in the Current Population Survey Beginning in January 1983" in the February 1983 issue of this publication. There were only slight differences between the old and new procedures in estimates of levels for the various labor force characteristics and virtually no differences in estimates of participation rates.

• Beginning in January 1985, most of the steps of the CPS estimation procedure—the noninterview adjustment, the first- and second-stage ratio adjustments, and the composite estimator—were revised. These procedures are described in the Estimating Methods section. A description of the changes and an indication of their effect on national estimates of labor force characteristics appear in "Changes in the Estimation Procedure in the Current Population Survey Beginning in January 1985" in the February 1985 issue of this publication. Overall, the revisions had only a slight effect on most estimates. The greatest impact was on estimates of persons of Hispanic origin. Major estimates were revised back to January 1980.

• Beginning in January 1986, the population controls used in the second-stage ratio adjustment method were revised to reflect an explicit estimate of the number of undocumented immigrants (largely Hispanic) since 1980 and an improved estimate of the number of emigrants among legal foreign-born residents for the same time period. As a result, the total civilian population and labor force estimates were raised by nearly 400,000; civilian employment was increased by about 350,000. The Hispanic-origin population and labor force estimates were raised by about 425,000 and 305,000, respectively, and Hispanic employment by 270,000. Overall and subgroup unemployment levels and rates were not significantly affected. Because of the magnitude of the adjustments for Hispanics, data were revised back to January 1980 to the extent possible. An explanation of the changes and their effect on estimates of labor force characteristics appear in "Changes in the Estimation Procedure in the Current Population Survey Beginning in January 1986" in the February 1986 issue of this publication.

• Beginning in August 1989, the second-stage ratio estimate cells were changed slightly to decrease the chance of very small cells occurring and to be more consistent with published age, sex, race cells. This change had virtually no effect on national estimates.

• Beginning in January 1994, population estimates used in the second stage estimation procedure were based on in-

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formation obtained from the 1990 census (adjusted for the undercount as measured by the Census Bureau's Post Enumeration Survey). This change resulted in substantial increases in total population and in all major labor force categories. Under the new population controls, the civilian noninstitutional population increased by about 1.3 million, with much of the increase occurring among Hispanics. Estimates of employment were raised by about 950,000, and unemployment by approximately 200,000. In addition, the overall unemployment rate rose by about 0.1 percentage point, largely reflecting the increase in the Hispanic share of the population, which has a higher-than-average incidence of unemployment. For further information, see "Revisions to the Current Population Survey Effective January 1994," in the February 1994 issue of this publication.

Additionally, for the period January through May 1994, the composite estimation procedure was suspended due to technical and logistical reasons.

Changes in the occupational and industrial classification system

Beginning in 1971, the comparability of occupational employment data was affected as a result of changes in the occupational classification system for the 1970 census that were introduced into the CPS. Comparability was further affected in December 1971, when a question relating to major activity or duties was added to the monthly CPS questionnaire in order to determine more precisely the occupational classification of individuals. As a result of these changes, meaningful comparisons of occupational employment levels could not be made between 1971-72 and prior years nor between those 2 years. Unemployment rates were not significantly affected. For a further explanation of the changes in the occupational classification system, see "Revisions in Occupational Classifications for 1971" and "Revisions in the Current Population Survey" in the February 1971 and February 1972 issues, respectively, of this publication.

Beginning in January 1983, the occupational and industrial classification systems used in the 1980 census were introduced into the CPS. The 1980 census occupational classification system evolved from the Standard Occupational Classification (SOC) system and was so radically different in concepts and nomenclature from the 1970 system that comparisons of historical data are not possible without major adjustments. For example, the 1980 major group "sales occupations" is substantially larger than the 1970 category "sales workers." Major additions include "cashiers" from "clerical workers" and some self-employed proprietors in retail trade establishments from "managers and administrators, except farm."

The industrial classification system used in the 1980 census was based on the 1972 Standard Industrial Classification (SIC) system, as modified in 1977. The adoption of the new system had much less of an adverse effect on historical comparability than did the new occupational system. The most notable changes from the 1970 system were the trans

fer of farm equipment stores from "retail" to "wholesale" trade, postal service from "public administration" to "transportation," and some interchange between "professional and related services" and "public administration." Additional information on the 1980 census occupational and industrial classification systems appears in "Revisions in the Current Population Survey Beginning in January 1983" in the February 1983 issue of this publication.

Beginning in January 1992, the occupational and industrial classification systems used in the 1990 census were introduced into the CPS. (These systems were largely based on the 1980 Standard Occupational Classification (SOC) and 1987 Standard Industrial Classification (SIC) systems, respectively.) There were a few breaks in comparability between the 1980 and 1990 census-based systems, particularly within the "technical, sales, and administrative support" categories. The most notable changes in industry classification were the shift of several industries from "business services" to "professional services" and the splitting of some industries into smaller, more detailed categories. A number of industry titles were changed as well, with no change in content.

Sampling Since the inception of the survey, there have been various

changes in the design of the CPS sample. The sample is traditionally redesigned and a new sample selected after each decennial census. Also, the number of sample areas and the number of sample persons are changed occasionally. Most of these changes are made in order to improve the efficiency of the sample design and/or to increase the reliability of the sample estimates. When Alaska and Hawaii received statehood, three sample areas were added to the existing sample to account for the population of these States. In January 1978, a supplemental sample of 9,000 housing units, selected in 24 States and the District of Columbia, was designed to provide more reliable annual average estimates for States. In October 1978, a coverage improvement sample of approximately 450 sample household units representing 237,000 occupied mobile homes and 600,000 new construction housing units was added. In January 1980, another supplemental sample of 9,000 households selected in 32 States and the District of Columbia was added. A sample reduction of about 6,000 units was implemented in May 1981. In January 1982, the sample was expanded by 100 households to provide additional coverage in counties added to Standard Metropolitan Statistical Areas (SMSA's), which were redefined in 1973. In January 1985, a new State-based CPS sample was selected based on 1980 census information. A sample reduction of about 4,000 households was implemented in April 1988; they were reinstated during the 8-month period, April-November 1989. A redesigned CPS sample based on the 1990 decennial census has been selected for use during the 1990's. Households from this new sample will be phased in during the April 1994 through July 1995 period. For further information see "Redesign of the Sample for the Current Population Survey" in the May 1994 issue of this publication.

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The 1980 census-based sample design includes about 72,000 housing units per month located in 729 selected geographic areas called primary sampling units (PSU's). The sample was initially selected so that specific reliability criteria were met nationally, for each of the 50 States, for the District of Columbia, and for the sub-State areas of New York City and the Los Angeles-Long Beach metropolitan area. Since 1985, these reliability criteria have been maintained through periodic additions and deletions in the State samples. The criteria, given below, are based on the coefficient of variation (CV) of the unemployment rate, where the CV is defined as the standard error of the estimate divided by the estimate, expressed as a percentage. These CV controls assume a 6-percent unemployment rate to establish a consistent specification of sampling error.

Nationally, a 1.8-percent CV is maintained on the monthly unemployment rate estimate. This means that a change of 0.2 percentage point in the unemployment rate is significant at a 90-percent confidence level.

In 11 States—California, Florida, Illinois, Massachusetts, Michigan, New Jersey, New York, North Carolina, Ohio, Pennsylvania, and Texas—the most populous States at the time of the 1980 decennial census, an 8-percent CV is maintained on the monthly unemployment rate estimates. In the other 39 States and the District of Columbia, an 8-percent CV is maintained on the annual unemployment rate estimate. In New York City and the Los Angeles-Long Beach metropolitan area, a 9-percent CV is maintained on the monthly unemployment rate estimates.

In the first stage of sampling, the 729 sample areas are chosen. In the second stage, ultimate sampling unit clusters composed of about four housing units each are selected. Each month, about 72,000 housing units are assigned for data collection, of which about 60,000 are occupied and thus eligible for interview. The remainder are units found to be destroyed, vacant, converted to nonresidential use, containing persons whose usual place of residence is elsewhere, or ineligible for other reasons. Of the 60,000 housing units, 4 to 5 percent are not interviewed in a given month due to temporary absence (vacation, etc.), other failures to make contact after repeated attempts, inability of persons contacted to respond, unavailability for other reasons, and refusals to cooperate (about half of the noninterviews). Information is obtained each month for about 113,000 persons 16 years of age and older.

Selection of sample areas. The entire area of the United States, consisting of 3,137 counties and independent cities, is divided into 1,973 sample units (PSU's). In most States, a PSU consists of a county or a number of contiguous counties. In New England and Hawaii, minor civil divisions are used instead of counties.

Metropolitan areas within a State are used as a basis for forming PSU's. Outside of metropolitan areas, counties normally are combined, except where the geographic area of the sample county is very large. Combining counties to form

PSU's provides greater heterogeneity; a typical PSU includes urban and rural residents of both high and low economic levels and encompasses, to the extent feasible, diverse occupations and industries. Another important consideration is to have the PSU sufficiently compact so that, with a small sample spread throughout, it can be efficiently canvassed without undue travel cost.

The 1,973 PSU's are grouped into strata within each State. Then one PSU is selected from each stratum with the probability of selection proportional to the population of the PSU. There are 314 PSU's in strata by themselves that are self-representing, and generally these are the most populated PSU's in each State. The remaining strata are formed by combining PSU's that are similar in such characteristics as population growth; proportions of blacks and of Hispanics (in certain States); and population distribution by occupation, industry, age, and sex. The PSU's, randomly selected from these strata, are non-self-representing, because each one chosen represents the entire stratum. The probability of selecting a particular PSU in a non-self-representing stratum is proportional to its 1980 population. For example, within a stratum, the chance that a PSU with a population of 50,000 would be selected for the sample is twice that for a PSU having a population of 25,000.

Selection of sample households. Because the sample design is State based, the sampling ratio differs by State and depends on the reliability requirements for estimates for each State. The State sampling ratios range roughly from 1 in every 200 households to 1 in every 2,500 households in each stratum of the State. The sampling ratio occasionally is modified slightly to hold the size of the sample relatively constant given the overall growth of the population. The sampling ratio used within a sample PSU depends on the probability of selection of the PSU and the sampling ratio for the State. In a sample PSU with a probability of selection of 1 in 10 with a State sampling ratio of 1 in 2,500, the within-PSU sampling ratio that results is 1 in 250, thereby achieving the desired ratio of 1 in 2,500 for the stratum.

Within each designated PSU, several steps are involved in selecting the housing units to be enumerated. First, the 1980 census enumeration districts (ED's), which are administrative units and contain on the average about 300 housing units, are ordered so that the sample would reflect the demographic and residential characteristics of the PSU. Within each ED, the housing units are sorted geographically and are grouped into clusters of approximately four housing units. Next, a systematic sample of these clusters of housing units is selected.

The identification of the sample housing units within an ED is made wherever possible from the list of ED addresses compiled during the 1980 census. The address lists are used in about three-fourths of the ED's, primarily in urban areas. Area sampling is applied in the remaining ED's, mostly in rural areas. In ED's where address lists are used, automated methods are used to form clusters of geographically con-

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tiguous housing units. An effort is made to have all small, multi-unit addresses (two to four housing units) included in the same cluster. The methods use the within-PSU sampling ratio to identify appropriate clusters for the sample. Supplemental samples are also prepared to account for addresses in isolated geographic areas and to account for housing units not found on the address lists, including housing units newly constructed in the PSU since the census date. The addresses of these units are obtained mainly from records of building permits.

In those ED's where area sampling methods are used, mainly rural areas, the ED's are subdivided into small land "chunks" with well-defined boundaries and having, in general, an expected "size" of about 8 to 12 housing units or other living quarters. For each subdivided ED, one chunk (or more) is designated for the sample. When a selected chunk contains about four households, for example, all units are included in the sample. When the size of the chunk is several times four units, an interviewer does not conduct interviews at all housing units in the chunk but uses a systematic sampling pattern to obtain approximately four households. The remaining housing units in the chunk are then available for further samples. Area ED's also make use of building permit lists to identify newly constructed housing units.

Rotation of sample. Part of the sample is changed each month. For each sample, eight representative subsamples or rotation groups are identified. A given rotation group is interviewed for a total of 8 months, divided into two equal periods. It is in the sample for 4 consecutive months, leaves the sample during the following 8 months, and then returns for another 4 consecutive months. In any 1 month, one-eighth of the rotation groups are in their first month of enumeration, another eighth is in their second month, and so on.

Under this system, 75 percent of the sample segments are common from month to month and 50 percent from year to year for the same month. This procedure provides a substantial amount of month-to-month and year-to-year overlap in the sample, thus providing better estimates of change and reducing discontinuities in the series of data without burdening any specific group of households with an unduly long period of inquiry.

Table 1-A provides a description of some aspects of the CPS sample design in use since 1947. A more detailed account of the history of the CPS sample design appears in The Current Population Survey: Design and Methodology, Technical Paper No. 40, Bureau of the Census, or Concepts and Methods Used in Labor Force Statistics Derived from the Current Population Survey, Report 463, Bureau of Labor Statistics. A description of the 1980 census-based sample appears in "Redesign of the Sample for the Current Population Survey," in the May 1984 issue of this publication.

ESTIMATING METHODS

Under the estimating methods used in the CPS, all of the results for a given month become available simultaneously and are based on returns from the entire panel of respondents. The estimation procedure involves weighting the data from each sample person by the inverse of the probability of the person being in the sample. This gives a rough measure of the number of actual persons that the sample person represents. Since 1985, almost all sample persons within the same State have the same probability of selection. Exceptions include sample persons in New York and California, where households in New York City and Los Angeles are selected with higher probability. Selection probabilities may

Table 1-A. Characteristics of the CPS sample, 1947 to present

Time period

Aug. 1947 to Jan. 1954 Feb. 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. 1979 Jan. 1980 to Apr. 1981 May 1981 to Dec. 1984 Jan. 1985 to Mar. 1988 Apr. 1988 to Mar. 1989 Nov. 1989 to present3

Number of sample areas

68 230

1330 2333 357 449 449 461 614 629 629 729 729 729

Households eligible

Interviewed

21,000 21,000 33,500 33,500 33,500 48,000 45,000 45,000 53,500 62,200 57,800 57,000 53,200 57,400

Not interviewed

500-1,000 500-1,000

1,500 1,500 1,500 2,000 2,000 2,000 2,500 2,800 2,500 2,500 2,600 2,600

Households visited but not eligible

3,000-3,500 3,000-3,500

6,000 6,000 6,000 8,500 8,000 8,000

10,000 12,000 11,000 11,000 11,500 11,800

1 Beginning in May 1956, these areas were chosen to provide coverage in each State and the District of Columbia.

2 Three sample areas were added in 1960 to represent Alaska and Hawaii

after statehood. 3 The sample was increased incrementally during the 8-month period, April-

November 1989.

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also differ for some sample areas due to field subsampling, which is carried out when areas selected for the sample are found to contain many more households than expected. Though a series of estimation steps (outlined below), the selection probabilities are adjusted for noninterviews and survey undercoverage; data from previous months are incorporated into the estimates through the composite estimation procedure.

1. Noninterview adjustment. The weights for all interviewed households are adjusted to the extent needed to account for occupied sample households for which no information was obtained because of absence, impassable roads, refusals, or unavailability of the respondents for other reasons. This noninterview adjustment is made separately for clusters of similar sample areas that are usually, but not necessarily, contained within a State. Similarity of sample areas is based on Metropolitan Statistical Area (MSA) status and size. Within each cluster, there is a further breakdown by residence. Each MSA cluster is split by "central city" and "balance of the MSA." Each non-MSA cluster is split by "urban" and "rural" residence categories. The proportion of sample households not interviewed varies from 4 to 5 percent, depending upon weather, vacation, etc.

2. Ratio estimates. The distribution of the population selected for the sample may differ somewhat, by chance, from that of the population as a whole in such characteristics as age, race, sex, and State of residence. Because these characteristics are closely correlated with labor force participation and other principal measurements made from the sample, the survey estimates can be substantially improved when weighted appropriately by the known distribution of these population characteristics. This is accomplished through two stages of ratio adjustment, as follows:

a. First-stage ratio estimation. The purpose of the first-stage ratio adjustment is to reduce the contribution to variance that results from selecting a sample of PSU's rather than drawing sample households from every PSU in the Nation. This adjustment is made to the CPS weights in two race cells: Black and nonblack; it is applied only to PSU's that are not self-representing and for those States that have a substantial number of black households. The procedure corrects for differences that existed in each State cell at the time of the 1980 census between 1) the race distribution of the population in sample PSU's and 2) the race distribution of all PSU's (both 1 and 2 exclude self-representing PSU's).

b. Second-stage ratio estimation. This procedure substantially reduces the variability of estimates and corrects, to some extent, for CPS undercoverage. The CPS sample weights are adjusted to ensure that sample-based estimates of population match independent population controls. Three sets of controls are used:

1) 51 State controls of the civilian noninstitutional population 16 years of age and older,

2) National civilian noninstitutional population controls for 14 Hispanic and 5 non-Hispanic age-sex categories,

3) National civilian noninstitutional population controls for 66 white, 42 black, and 10 "other" age-sex categories.

The independent population controls are prepared by projecting forward the resident population as enumerated on April 1, 1990. The projections are derived by updating demographic census data with information from a variety of other data sources that account for births, deaths, and net migration. Estimated numbers of resident Armed Forces personnel and institutionalized persons reduce the resident population to the civilian noninstitutional population. Estimates of net census undercount, determined from the Post Enumeration Survey, are added to the population projections. Prior to January 1994, the projections were based on earlier censuses, and there was no correction for census undercount. A summary of the current procedures used to make population projections is given in "Revisions in the Current Population Survey Effective January 1994," appearing in the February 1994 issue of this publication.

3. Composite estimation procedure. The last step in the preparation of most CPS estimates makes use of a composite estimation procedure. The composite estimate consists of a weighted average of two factors: The two-stage ratio estimate based on the entire sample from the current month and the composite estimate for the previous month, plus an estimate of the month-to-month change based on the six rotation groups common to both months. In addition, a bias adjustment term is added to the weighted average to account for relative bias associated with month-in-sample estimates. This month-in-sample bias is exhibited by unemployment estimates for persons in their first and fifth months in the CPS being generally higher than estimates obtained for the other months.

The composite estimate results in a reduction in the sampling error beyond that which is achieved after the two stages of ratio adjustment. For some items, the reduction is substantial. The resultant gains in reliability are greatest in estimates of month-to-month change, although gains are also usually obtained for estimates of level in a given month, change from year to year, and change over other intervals of time.

Rounding of estimates The sums of individual items may not always equal the

totals shown in the same tables because of independent rounding of totals and components to the nearest thousand. Similarly, sums of percent distributions may not always equal 100 percent because of rounding. Differences, however, are insignificant.

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Reliability of the estimates There are two types of errors possible in an estimate based

on a sample survey—sampling and nonsampling. The standard errors provided indicate primarily the magnitude of the sampling error. They also incorporate the effect of some nonsampling errors in response and enumeration but do not account for any systematic biases in the data.

Nonsampling error. The full extent of nonsampling error is unknown, but special studies have been conducted to quantify some sources of nonsampling error in the CPS, as discussed below. The effect of nonsampling error should be small on estimates of relative change, such as month-to-month change. Estimates of monthly levels would be more severely affected by the nonsampling error.

Nonsampling errors in surveys can be attributed to many sources, e.g., the inability to obtain information about all persons in the sample; differences in the interpretation of questions; inability or unwillingness of respondents to provide correct information; inability to recall information; errors made in collecting and processing the data; errors made in estimating values for missing data; and failure to represent all sample households and all persons within sample households (undercoverage).

Nonsampling errors occurring in the interview phase of the survey are studied by means of a reinterview program. This program is used to estimate various sources of error as well as to evaluate and control the work of the interviewers. A random sample of each interviewer's work is inspected through reinterview at regular intervals. The results indicate, among other things, that the data published from the CPS are subject to moderate systematic biases. A description of the CPS reinterview program and some of the other results may be found 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 CPS data can be examined as a result of the rotation plan used for the sample, since the level of the estimates varies by rotation group. A description of these effects appears in "The Effects of Rotation Group Bias on Estimates From Panel Surveys," 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 and missed persons within sample households. The CPS covers about 94 percent of the decennial census population. It is known that the CPS undercoverage varies with age, sex, race, and Hispanic origin. Generally, undercoverage is larger for men than for women and larger for blacks, Hispanics, and other races than for whites. Ratio adjustment to independent age-sex-race-origin population controls, as described previously, partially corrects for the biases due to survey undercoverage. However, biases exist in the estimates to the extent that missed persons in missed households or missed persons in interviewed households have different character

istics than interviewed persons in the same age-sex-race-origin group.

Additional information on nonsampling error in the CPS appears in An Error Profile: Employment as Measured by the Current 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 Current Population Survey: An Overview," by Marvin Thompson and Gary Shapiro, Annals of Economic and Social Measurement, Vol. 2, April 1973; and in The Current Population Survey, Design and Methodology, Technical Paper No. 40, Bureau of the Census, U.S. Department of Commerce. This last document includes a comprehensive discussion of various sources of errors and describes attempts to measure them in the CPS.

Sampling error. When a sample rather than the entire population is surveyed, estimates differ from the true population values that they represent. This difference, or sampling error, occurs by chance, and its variability is measured by the standard error of the estimate. Sample estimates from a given survey design are unbiased when an average of the estimates from all possible samples would yield, hypothetically, the true population value. In this case, the sample estimate and its standard error can be used to construct approximate confidence intervals, or ranges of values, that include the true population value with known probabilities. If the process of selecting a sample from the population were repeated many times and an estimate and its standard error calculated for each sample, then:

1. Approximately 68 percent of the intervals from one standard error below the estimate to one standard error above the estimate would include the true population value.

2. Approximately 90 percent of the intervals from 1.6 standard errors below the estimate to 1.6 standard errors above the estimate would include the true population value.

3. Approximately 95 percent of the intervals from two standard errors below the estimate to two standard errors above the estimate would include the true population value.

Although the estimating methods used in the CPS do not produce unbiased estimates, biases for most estimates are believed to be small enough so that these confidence interval statements are approximately true.

Since it would be too costly to develop standard errors for all CPS estimates, generalized variance function techniques are used to calculate sets of standard errors for various types of labor force characteristics. It is important to keep in mind that standard errors computed from these methods reflect con-tributions from sampling errors and some kinds of nonsampling errors and indicate the general magnitude of an estimate's standard error rather than its precise value.

The generalized variance functions and standard errors

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provided here are based on the sample design and estimation procedures as of 1987 and have been adjusted to reflect the population levels and sample size as of 1993, as well as the use of new population controls based on the 1990 census. For years prior to 1967, the standard errors obtained must be further adjusted to reflect the CPS sample size in effect at that time. For years prior to 1956, standard errors should be multiplied by 1.5; for the years 1956 through 1966, standard errors should be multiplied by 1.22.

Tables 1-B through 1-H are provided so that approximate standard errors of estimates can be easily obtained. These tables are briefly summarized here; details illustrating the proper use of each table follow.

Tables 1-B and 1-C show standard errors for estimated monthly levels and rates for selected employment status characteristics; these tables also provide standard errors for consecutive month-to-month changes in the estimates. These standard errors are based on levels of recent estimates and can be determined directly by finding the characteristic of interest.

Tables 1-D and 1-E show standard errors for monthly levels and consecutive monthly changes in levels for general employment status characteristics. The standard errors are calculated using linear interpolation based on the size of the monthly estimates.

Tables 1-F and 1-G give parameters that can be used with formulas to calculate a standard error on nearly any specified level, unemployment rate, percentage, or consecutive month-to-month change. For monthly levels and consecutive month-to-month changes in levels, tables 1-F and 1-G are preferred to tables 1-D and 1-E, since the formulas provide more accurate results than linear interpolation.

Table 1-H presents factors used to convert standard errors of monthly levels and rates determined from tables 1-B, 1-C, 1-D, and 1-F to standard errors pertaining to quarterly and yearly averages, consecutive year-to-year changes of monthly estimates, and changes in quarterly and yearly averages.

The standard errors for estimated changes from 1 month to the next, 1 year to the next, etc., depend more on the monthly levels for characteristics than on the size of the changes. Accordingly, tables 1-E, 1-G, and 1-H use monthly levels (not the magnitude of the changes) for approximating standard errors of change. Standard errors for estimated change between nonconsecutive months are not provided (except for year-to-year change); however, these may be assumed to be higher than the standard errors for consecutive monthly change.

Use of tables 1-B and 1-C. These tables provide a quick reference for standard errors of major characteristics. Table 1-B gives approximate standard errors for estimates of monthly levels and consecutive month-to-month changes in levels for major employment status categories. Table 1-C gives approximate standard errors for estimates of monthly unemployment rates and consecutive month-to-month

Table 1-B. Standard errors for major employment status categories (In thousands)

Category

Total, 16 years and over. Civilian labor force Employed Unemployed

Men, 20 years and over: Civilian labor force Employed Unemployed

Women, 20 years and over: Civilian labor force Employed Unemployed

Both sexes, 16 to 19 years: Civilian labor force Employed Unemployed

Black, 16 years and over: Civilian labor force , Employed Unemployed ,

Men, 20 years and over: Civilian labor force Employed Unemployed

Women, 20 years and over: Civilian labor force Employed Unemployed

Both sexes, 16 to 19 years: Civilian labor force Employed Unemployed

Hispanic origin, 16 years and over: Civilian labor force Employed Unemployed

Monthly level

275 295 146

179 194 103

204 209 90

89 87 58

127 129 66

72 76 45

90 89 43

36 31 28

121 123 58

Consecutive-month change

204 224 160

152 164 118

155 160 105

88 86 75

94 98 75

63 67 53

68 68 50

38 32 33

85 100 68

changes in unemployment rates for some demographic, industrial, and occupational categories. For characteristics not given in tables 1-B and 1-C, refer to either tables 1-D and 1-E or tables 1-F and 1-G.

Illustration. Suppose that for a given month the number of women 20 years and over in the civilian labor force is estimated to be 54,000,000. For this characteristic, the approximate standard error of 204,000 is given in table 1-B in the row 'Total, Women 20 years and over: Civilian labor force." A 90-percent confidence interval as shown by these data, would then be the interval from 53,674,000 to 54,326,000. Concluding that the true labor force level lies within this interval would be correct for roughly 90 percent of all possible samples.

Use of tables 1-D and 1-E. From these tables, approximate standard errors can be calculated for estimates of monthly levels and month-to-month changes in levels for major la-

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Table 1-C. Standard errors for unemployment rates by major characteristics

Characteristic

Total, 16 years and over Men, 16 years and over Men, 20 years and over Women, 16 years and over Women, 20 years and over Both sexes, 16 to 19 years White workers Black workers Hispanic-origin workers Married men, spouse present Married women, spouse present Women who maintain families

Occupation

Executive, administrative, and managerial Professional specialty Technicians and related support Sales Administrative support, including clerical.. Private household Protective service Service, except private household and

protective service , Precision production, craft, and repair Machine operators, assemblers, and

inspectors Transportation and material moving , Handlers, equipment cleaners, helpers,

and laborers , Farming, forestry, and fishing ,

Industry

Nonagricultural private wage and salary workers , Goods-producing industries ,

Mining , Construction Manufacturing

Durable goods Nondurable goods ,

Service-producing industries , Transportation, communications, and

public utilities Wholesale and retail trade Finance and services

Government workers Agricultural wage and salary workers

Monthly level

0.11 .16 .15 .16 .16 .76 .12 .47 .53 .16 .19 .54

.23

.19

.48

.31

.25 1.27 .72

.36

.36

.52

.57

.74

.73

Consecutive-month change

0.13 .19 .18 .19 .19

1.00 .14 .55 .63 .19 22 .65

27 .23 .57 .37 .30

1.51 .86

.43

.43

.62

.68

.88

.87

.13

.28 1.57 .73 .29 .38 .45 .15

.43 27 .19 .21

1.19

.16

.33 1.87 .87 .34 .45 .53 .18

.51

.33 23 .25

1.42

bor force characteristics by race and Hispanic origin. For major categories not shown, such as male or female, tables 1-F and 1-G can be used. Standard errors for intermediate values not shown in the tables may be approximated by linear interpolation. For table 1-E, which applies to estimates of consecutive month-to-month change, the average of the two monthly levels (not the change) is used to select the appropriate row in the table.

Illustration. Assume that between 2 consecutive months the estimated number of employed persons changed from

115,600,000 to 116,700,000, an apparent increase of 1,100,000. The approximate standard error on this month-to-month change estimate is based on the average level of the estimate for the 2 months, 116,150,000. Using the table 1-E column titled "Labor force data other than unemployment and agricultural employment, Total," it is necessary to find the standard errors corresponding to the two monthly level entries between which the value 116,150,000 lies. The standard error corresponding to 100,000,000 is given as 252,000, and the standard error corresponding to 120,000,000 is given as 223,000. Use linear interpolation to find the approximate standard error on month-to-month change corresponding to the level 116,150,000; one method of calculation is given below.

223,000 + 120,000,000-116,150,000 120,000,000 -100,000,000,

(252,000 - 223,000)=229,000

Thus, a 90-percent confidence interval for the true month-to-month change would be approximately the interval from 734,000 to 1,466,000.

Use of tables 1-F and 1-G. These tables can be used to find approximate standard errors for a wide range of estimated monthly levels, proportions, rates, and estimates of consecutive monthly change. Instead of displaying standard errors, these tables provide parameters to be used with the formulas given below that allow the user to calculate standard errors.

Table 1-G, which applies to estimates of consecutive monthly change, lists parameters for some characteristics classified by a measure of correlation between monthly estimates. Estimates of the number of persons employed full time, for example, change relatively little from one month to the next, and the two monthly estimates are said to be highly correlated. Consecutive monthly estimates of part-time employment, by contrast, have low correlation, since these estimates are relatively volatile.

Major characteristics for which consecutive monthly estimates are known to have high or low correlation are indicated in table 1-G. Not all categories in table 1-G, however, are broken down into low or high correlation characteristics. When high or low correlation is not specified in table 1-G, the parameters in table 1-G should be selected from the rows labeled "Most characteristics" or from rows not specifying correlation.

Standard errors of estimated levels. The approximate standard error, sx, of an estimated monthly level, x, can be obtained using the formula below, where a and b are the parameters from table 1-F associated with the particular characteristic. The same formula can be used to approximate the standard error of an estimated month-to-month change in level; simply average the levels for the 2 consecutive months

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Table 1-D. Standard errors for estimates of monthly levels (In thousands)

Estimated monthly level

Characteristic Agricultural employment

Total or white Black

Unemployment

Total or white

Black Hispanic origin

Labor force data other than agricultural employment and unemployment

Total White Black

Hispanic origin

Employed Civilian labor force or not in labor force

50 100 500 1,000... 2,000 ... 4,000 ... 6,000 ... 8,000 ... 10,000. 15,000. 20,000. 30,000 . 40,000 . 50,000 . 60,000 . 70,000 . 80,000 . 100,000 120,000 140,000 160,000 180,000

12 17 39 58 90

147 202 256 310

12 17 37 51 71

11 16 36 51 71

100 122 140 155 187 213

12 17 36 51

98 99 92

12 18 39 55 77

105

11 16 36 51 72

101 123 141 156 188 214 253 281 301 316 324 328 321 294 238

11 16 36 51 72

101 122 140 156 187 212 249 275 293 304 308 307 287 238

12 17 37 51 71 96

111 121 127 125 98

13 18 41 57 78

103 116 122 122

13 18 41 57 78

103 116 122 122 89

Table 1-E. Standard errors for estimates of month-to-month change in levels (In thousands)

Estimated monthly level

50 100 500 1,000 2,000 4,000 6,000 8,000 10,000 15,000 20,000 30,000 40,000 50,000 60,000 70,000 80,000 100,000 120,000 140,000 160,000 180,000

Characteristic Agricultural employment

Total or white

13 18 40 55 73 88 86 65

Black

11 16 35 49 67

Unemployment

Total or white

14 19 42 60 84

115 138 155 168 190 200

Black

14 19 43 59 78 96 97 81

Hispanic origin

15 21 46 65 89

118

Labor force data other than agricultural employment and unemployment

Total

9 13 29 42 59 82

100 115 128 154 174 206 228 244 254 260 262 252 223 164

White

9 13 29 42 59 82

100 115 128 154 174 206 228 244 254 260 262 252 223 164

Black

10 14 30 42 58 78 90 96 99 90 43

Hispanic origin

Employed

11 16 34 48 65 86 96

100 98 60

Civilian labor force or not in labor force

9 13 29 40 55 72 82 86 86 62

154


and use the parameters from table 1-G.

sx = V ax2+ bx

Illustration. Assume that in a given month there are an estimated 6 million unemployed men in the civilian labor force (x = 6,000,000). Obtain the appropriate a and b parameters from table 1-F ("Unemployment, total or white"). Use the formula to compute an approximate standard error on the estimate of 6,000,000.

a = -0.000015942 b = 2576.83

sx = A/(-0.000015942X6,000,000)2 + (2576.83X6,000,000) = 122,000

Suppose that in the next month the estimated number of unemployed men increases by 200,000 to 6,200,000. The average of the monthly levels is x = 6,100,000. Obtain the appropriate a and b parameters from table 1-G ("Unemployment, Total or white, Total, men, women"). Use the formula to compute an approximate standard error on the estimated change of 200,000.

a = -0.000083130 b = 3652.76

Sx = A/-(0.000083130X6,100,000)2 + (3652.76X6,100,000) = 139,000

An approximate 90-percent confidence interval for the true month-to-month change would be the interval from -22,000 to 422,000. Because this interval covers zero, one cannot assert at this level of confidence that any real change has occurred in the unemployment level. This result can also be expressed by saying that the apparent change of 200,000 is not significant at a 90-percent confidence level.

Standard errors of estimated percentages and rates. Generally, percentages and rates are not published unless the monthly base (denominator) is greater than 75,000 persons, the quarterly average base is greater than 60,000 persons, or the annual average base is greater than 35,000 persons.

The reliability of an estimated percentage or rate depends upon the magnitude of the percentage or rate and its base. When the numerator and base are in different categories, use the parameters from table 1-F or 1-G relevant to the numerator. The approximate standard error, syp, of an estimated percentage or rate, p, can be obtained using the following formula, where y is the estimated number of persons in the base.

*y.P = ^ y P ( 1 0 0 - p )

Illustration. For a given month, suppose that 5,600,000 women, 20 to 24 years of age, are estimated to be employed.

Of this total, 1,800,000 or 32 percent are classified as part-time workers. To estimate the standard error on this percentage, proceed as follows. Obtain the parameter b = 2204.62 from table 1-F ("Labor force and not-in-labor-force data other than agricultural employment and unemployment, Total, Women"). Apply the formula to obtain:

Suppose that in the next month 5,700,000 women in this same age group are reported employed and that 1,950,000 or 34 percent are part-time workers. To estimate the standard error on the observed month-to-month change of 2 percentage points, first average the values for p and y over the 2 months to get p = 33 percent and y = 5,650,000. Next, obtain the parameter b = 2344.57 from table 1-G ("Labor force and not-in-labor-force data other than agricultural employment and unemployment, Total or white, Women, Low correlation characteristics") and apply the formula as follows.

/ 2144 S7

■» = fe^(33Xl00-33) = 10percent

It should be noted that the numerator of the percentage (part-time employed) determined the choice of correlation. If the example had illustrated percentages of women employed full time, the numerator would have been a high correlation characteristic. Table 1-G, however, does not explicitly list high correlation parameters for employed women; thus, the row labeled "Women, Most characteristics" would have been used.

Had the example dealt with teenage women employed part time, either of two rows in table 1-G could have been applied ("Women, Low correlation" or "Both sexes, 16 to 19 years"). In situations like this, where it is not clear which row applies, a general rule to follow is to choose the row with the laigest b parameter. This gives a more conservative estimate of standard error.

Use of table 1-H. Use this table with table 1-B, 1-C, 1-D, or 1-F to calculate approximate standard errors for quarterly or yearly averages, changes in consecutive quarterly or yearly averages, and consecutive year-to-year changes in monthly estimates. Table 1-H gives factors to be applied only to standard errors for monthly levels. Follow these three basic steps:

Step 1. Average estimates appropriately. For quarterly estimates, average the 3 monthly estimates. For yearly estimates, average the 12 monthly estimates. For changes in consecutive averages, average over the 2 quarters or 2 years. For consecutive year-to-year changes in monthly estimates, average the 2 months involved.

155


Table 1-F. Parameters for computation of standard errors for estimates of monthly levels

Characteristic

Labor force and not-in-labor-force data other than agricultural employment and unemployment:

Total1

Men1

Women Both sexes, 16 to 19 years

White1

Men Women Both sexes, 16 to 19 years ....

Black Men Women Both sexes, 16 to 19 years ....

Hispanic origin

Not in labor force, total or white, excluding women and 16-to-19 year olds

Agricultural employment:

Total or white Men Women or both sexes, 16 to

19 years

Black

Hispanic origin: Total or women Men or both sexes, 16 to

19 years

Unemployment:

Total or white Black Hispanic origin

1 Excludes not-in-labor-force data.

Step 2. Obtain a standard error on a monthly estimate using table 1-B or 1-C, or apply the procedures for table 1-D or 1-F to the average calculated in step 1, as if the average were an estimate for a single month.

Step 3. Determine the standard error on the average or on the estimate of change. Multiply the result from step 2 by the appropriate factor from table 1-H.

Illustration. Suppose that standard errors are desired for a

a

-0.000015693 -.000029081 -.000026234 -.000155877

-.000017747 -.000032645 -.000029869 -.000185057

-.000112595 -.000271289 -.000164088 -.001181647

-.000190760

.000005264

.000694096

.000761532

-.000022089

-.000121207

.010960039

.014443239

-.000015942 -.000190601 -.000094114

2601.35 2408.58 2204.62 2217.37

2600.88 2410.86 2201.86 2221.96

2735.54 2553.88 229823 2570.17

3394.71

722.21

2656.52 2461.77

2250.29

2749.05

2522.57

1483.55

2576.83 2744.70 3116.52

quarterly average of black employment levels and for the change in averages from 1 quarter to the next. For each successive month of the first quarter, suppose the levels are observed to be 11,500,000, 11,600,000, and 11,700,000.

Step 1. The quarterly average is 11,600,000.

Step 2. Obtain the a and b parameters from table 1-F ("Labor force and not-in-labor-force data other than agricultural employment and unemployment, Black, Total"). Use the formula for sx to compute an approximate standard error for a monthly estimate of 11,600,000.

a = -0.000112595 b = 2735.54

Sx = ̂ (-0.000112595X11,600,000)2 + (273554X11,600,000) = 129,000

Step 3. Multiply this result by the factor .87 from table 1-H (column labeled "Quarterly averages" and row labeled "Labor force and not-in-labor-force data other than agricultural employment and unemployment, Black"). This gives an approximate standard error of 112,000 on the quarterly average of 11,600,000.

Proceed to obtain the approximate standard error on the change in consecutive quarterly average estimates of black employment. Assume that black employment estimates for the months in the second quarter are observed to be 11,100,000, 11,200,000, and 11,300,000.

Step 1. The average for the second quarter is 11,200,000. The average of the 2 quarters is 11,400,000.

Step 2. Obtain the a and b parameters as above and use the formula for sx to compute an approximate standard error for the estimate of 11,400,000, treating it as an estimate for a single month.

Sx = ̂ (-0.000112595X11,400,000)2 + (273554X11,400,000) = 129,000

Step 3. Multiply this result by the factor .84 from table 1-H (column labeled "Change in quarterly averages" and row labeled "Labor force and not-in-labor-force data other than agricultural employment and unemployment, Black"). This gives an approximate standard error of 108,000 on the estimated change of 400,000 from one quarter to the next.

The estimated change clearly exceeds 2 standard errors; therefore, one could conclude from these data that the change in quarterly averages is significant.

156


Table 1 -G. Parameters for computation of standard errors for estimates of month-to-month change in levels

Characteristic


Total or white: Most characteristics High correlation characteristics1

Low correlation characteristics1

Men: Most characteristics High correlation characteristics Low correlation characteristics

Women: Most characteristics Low correlation characteristics


Black: Most characteristics Low correlation characteristics

Men: Most characteristics Low correlation characteristics

Women: Most characteristics Low correlation characteristics


Hispanic origin: Total

Civilian labor force and not in labor force Low correlation characteristics Men, civilian labor force and not in labor force Men, 16 years and over; 20 years and oven and both sexes,

16 to 19 years Women, 16 years and over and 20 years and over


Total or white: Total Men Women or both sexes, 16 to 19 years

Black: Total or women Men or both sexes, 16 to 19 years

Hispanic origin: Total or women Men or both sexes, 16 to 19 years

Self-employed

Unemployment:2

Total or white: Total, men, women Both sexes, 16 to 19 years and low correlation characteristics ....

Black: Total, men, women, and both sexes, 16 to 19 years High correlation characteristics

Hispanic origin: Total, men, women Both sexes, 16 to 19 years and low correlation characteristics ....

-0.000011078 -.000008243 -.000014344

-.000020055 -.000014922 -.000051814

-.000018844 -.000053069 -.000169260

-.000088926 -.001732525

-.000210520 -.002587620

-.000140581 -.002078112 -.001176111

-.000145304 -.000095111 -.002425480 -.000227656

-.000366130 -.000315338

-.000351254 -.000597224 .000115653

-.000109948 -.017161885

.002654758 .002647371 -.000218152

-.000083130 -.000063570

-.000372215 .000043286

-.000233757 -.000921018

1743.77 1363.60 2222.55

1674.07 1307.96 2325.37

1472.65 2344.57 2280.05

1871.20 5676.12

1986.81 5079.90

1621.48 4723.08 2729.02

2417.72 1682.24 7511.81 2045.54

3150.64 2239.22

3344.45 3450.08 2062.60

2493.69 5121.00

4043.98 3510.08 1822.59

3652.76 4463.07

3800.30 2691.66

4404.26 6132.68

1 High correlation characteristics include employed full-time, manufacturing, service workers, and not in the labor force. Low correlation characteristics include all part-time workers; employed, with a job, but not at work; unpaid family workers; and precision production, craft, and repair occupations.

2 High correlation characteristics include full-time jobseekers; job losers; manufacturing workers; and operators, fabricators, and laborers. Low correlation characteristics include part-time jobseekers, reentrants, persons unemployed for less than 5 weeks and from 5 to 14 weeks.

157


Table 1-H. Factors to be used with tables 1-B, 1-C, 1-D, and 1-F to compute the approximate standard errors for levels, rates, and percentages for year-to-year change of monthly estimates, quarterly averages, change in quarterly averages, yearly averages, and change in yearly averages

Characteristic


Total or men

Both sexes, 16 to 19 years Part time

Unemployment:

Total


Black Hispanic origin Both sexes, 16 to 19 years Part time

Factor

Year-toyear change of monthly

estimate

1.30 1.30 1.30 1.40

1.40 1.40

1.30 1.30 1.30 1.30 1.40

Quarterly averages

0.92 .82 .78 .80

.74

.67

.87

.87

.87

.79

.82

Change in quarterly averages

0.70 .84 .88 .80

.88

.88

.85

.84

.80

.88

.90

Yearly averages

0.79 .57 .49 .59

.46

.42

.65

.65

.65

.54

.51

Change in yearly

averages

0.70 .70 .70 .70

.65

.54

.70

.70

.70

.60

.60

158


Establishment Data ("B" tables)

COLLECTION

BLS cooperates with State employment security agencies in the Current Employment Statistics (CES) or establishment survey to collect data each month on employment, hours, and earnings from a sample of nonfarm establishments (including government). In March 1994, this sample included about 390,000 reporting units. From these data, a large number of employment, hours, and earnings series in considerable industry and geographic detail are prepared and published each month. Historical statistics can be found in Employment, Hours, and Earnings, United States, and Employment, Hours, and Earnings, States andAreas.These data are also available in machine-readable format.

Each month, the State agencies collect data on employment, payrolls, and paid hours from a sample of establishments. Data are collected by mail from most respondents; phone collection is used to obtain higher response rates from selected respondents through computer-assisted interviews, touch-tone self-response, and voice recognition technology.

The respondents extract the requested data from their payroll records, which must be maintained for a variety of tax and accounting purposes. All firms with 250 employees or more are asked to participate in the survey, as well as a sample of smaller firms.

A "shuttle" schedule (BLS form 790 series) is used for mail respondents. It is submitted each month by the respondents, edited by the State agency, and returned to the respondent for use again the following month

The technical characteristics of the shuttle schedule are particularly important in maintaining continuity and consistency in reporting from month to month. The shuttle design automatically exhibits the trends of the reported data covered by the schedule during the year; therefore, the relationship of the current data to the data for the previous months is shown. The schedule also has operational advantages. For example, accuracy and economy are achieved by entering the identification codes and the address of the reporter only once a year.

All schedules are edited by the State agencies each month to make sure that the data are correctly reported and that they are consistent with the data reported by the establishment in earlier months and with the data reported by other establishments in the industry. The State agencies forward the data, either on the schedules themselves or in machine-readable form, to BLS-Washington. They also use the information provided on the forms to develop State and area estimates of employment, hours, and earnings. At BLS, the data are edited again by computer to detect processing and reporting errors which may have been missed in the initial State editing; the edited data are used to prepare national estimates.

It should be noted that for employment, the sum of the State figures will differ from the official U.S. national totals because of the effects of differing industrial and geographic stratification and differences in the timing of benchmark adjustments.

CONCEPTS

Industrial classification Establishments reporting on Form BLS 790 are classi

fied into industries on the basis of their principal product or activity determined from information on annual sales volume. Since January 1980, this information is collected on a supplement to the quarterly unemployment insurance tax reports filed by employers. For an establishment making more than one product or engaging in more than one activity, the entire employment of the establishment is included under the industry indicated by the principal product or activity.

All data on employment, hours, and earnings for the Nation (beginning with August 1990 data) and for States and areas (beginning with January 1990 data) are classified in accordance with the 1987 Standard Industrial Classification Manual (SIC), Office of Management and Budget.

Industry employment Employment data, except those for the Federal Govern

ment, refer to persons on establishment payrolls who received pay for any part of the pay period which includes the 12th day of the month. For Federal Government establishments, employment figures represent the number of persons who occupied positions on the last day of the calendar month. Intermittent workers are counted if they performed any service during the month.

The data exclude proprietors, the self-employed, unpaid volunteer or family workers, farm workers, and domestic workers. Salaried officers of corporations are included. Government employment covers only civilian employees; military personnel are excluded. Employees of the Central Intelligence Agency and the National Security Agency are also excluded.

Persons on establishment payrolls who are on paid sick leave (when pay is received directly from the firm), on paid holiday, on paid vacation, or who work during a part of the pay period even though they are unemployed or on strike during the rest of the period are counted as employed. Not counted as employed are persons who are on layoff, on leave without pay, on strike for the entire period, or who were hired but have not yet reported during the period.

Indexes of diffusion of employment change (table B-6). These indexes measure the dispersion among industries of

159


the change in employment over the specified time span. Beginning with August 1990 data, the overall indexes are calculated from 356 seasonally adjusted employment series (3-digit industries) covering all nonfarm payroll employment in the private sector. The manufacturing diffusion indexes are based on 139 3-digit industries.

To derive the indexes, each component industry is assigned a value of 0, 50, or 100 percent, depending on whether its employment showed a decrease, no change, or an increase, respectively, over the time span. The average value (mean) is then calculated, and this percent is the diffusion index number.

The reference point for diffusion analysis is 50 percent, the value which indicates that the same number of component industries had increased as had decreased. Index numbers above 50 show that more industries had increasing employment, and values below 50 indicate that more had decreasing employment. The margin between the percent that increased and the percent that decreased is equal to the difference between the index and its complement, i.e., 100 minus the index. For example, an index of 65 percent means that 30 percent more industries had increasing employment than had decreasing employment (65-(100-65) = 30). However, for dispersion analysis, the distance of the index number from the 50-percent reference point is the most significant observation.

Although diffusion indexes are commonly interpreted as showing the percent of components that increased over the time span, it should be remembered that the index reflects half of the unchanged components as well. (This is the effect of assigning a value of 50 percent to the unchanged components when computing the index.)

Industry hours and earnings Average hours and earnings data are derived from re

ports of payrolls and hours for production and related workers in manufacturing and mining, construction workers in construction, and nonsupervisory employees in private service-producing industries.

Production and related workers. This category includes working supervisors and all nonsupervisory workers (including group leaders and trainees) engaged in fabricating, processing, assembling, inspecting, receiving, storing, handling, packing, warehousing, shipping, trucking, hauling, maintenance, repair, janitorial, guard services, product development, auxiliary production for plant's own use (e.g., power plant), recordkeeping, and other services closely associated with the above production operations.

Construction workers. This group includes the following employees in the construction division: Working supervisors, qualified craft workers, mechanics, apprentices, helpers, laborers, etc., engaged in new work, alterations, demolition, repair, maintenance, etc., whether working at the site of construction or working in shops or yards at jobs

(such as precutting and preassembling) ordinarily performed by members of the construction trades.

Nonsupervisory employees. These are employees (not above the working 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, custodial workers, attendants, line installers and repairers, laborers, janitors, guards, and other employees at similar occupational levels whose services are closely associated with those of the employees listed.

Payroll. This refers to the payroll for full- and part-time production, construction, or nonsupervisory workers who received pay for any part of the pay period which includes the 12th day of the month. The payroll is reported before deductions of any kind, e.g., for old-age and unemployment insurance, group insurance, withholding tax, bonds, or union dues; also included is pay for overtime, holidays, vacation, and sick leave paid directly by the firm. Bonuses (unless earned and paid regularly each pay period); other pay not earned in the pay period reported (e.g., retroactive pay); tips; and the value of free rent, fuel, meals, or other payment in kind are excluded. Employee benefits (such as health and other types of insurance, contributions to retirement, etc., paid by the employer) are also excluded.

Hours. These are the hours paid for during the pay period which includes the 12th of the month for production, construction, or nonsupervisory workers. Included are hours paid for holidays, vacations, and for sick leave when pay is received directly from the firm.

Overtime hours. These are hours worked by production or related workers for which overtime premiums were paid because the hours were in excess of the number of hours of either the straight-time workday or the workweek during the pay period which included the 12th of the month. Weekend and holiday hours are included only if overtime premiums were paid. Hours for which only shift differential, hazard, incentive, or other similar types of premiums were paid are excluded.

Average weekly hours. The workweek information relates to the average hours for which pay was received and is different from standard or scheduled hours. Such factors as unpaid absenteeism, labor turnover, part-time work, and stoppages cause average weekly hours to be lower than scheduled hours of work for an establishment. Group averages further reflect changes in the workweek of component industries.

Indexes of aggregate weekly hours. The indexes of aggregate weekly hours are prepared by dividing the current month's aggregate by the average of the 12 monthly fig-

160


ures for 1982. For basic industries, the hours aggregates are the product of average weekly hours and production worker or nonsupervisory worker employment. At all higher levels of industry aggregation, hours aggregates are the sum of the component aggregates.

Average overtime hours. The overtime hours represent that portion of the average weekly hours which exceeded regular hours and for which overtime premiums were paid. If an employee were to work on a paid holiday at regular rates, receiving as total compensation his or her holiday pay plus straight-time pay for hours worked that day, no overtime hours would be reported.

Because overtime hours are premium hours by definition, weekly hours and overtime hours do not necessarily move in the same direction from month to month. Such factors as work stoppages, absenteeism, and labor turnover may not have the same influence on overtime hours as on average hours. Diverse trends at the industry group level also may be caused by a marked change in hours for a component industry where little or no overtime was worked in both the previous and current months.

Average hourly earnings. Average hourly earnings are on a "gross" basis. They reflect not only changes in basic hourly and incentive wage rates but also such variable factors as premium pay for overtime and late-shift work and changes in output of workers paid on an incentive plan. They also reflect shifts in the number of employees between relatively high-paid and low-paid work and changes in workers' earnings in individual establishments. Averages for groups and divisions further reflect changes in average hourly earnings for individual industries.

Averages of hourly earnings differ from wage rates. Earnings are the actual return to the worker for a stated period of time; rates are the amount stipulated for a given unit of work or time. The earnings series do not measure the level of total labor costs on the part of the employer since the following are excluded: Irregular bonuses, retroactive items, payments of various welfare benefits, payroll taxes paid by employers, and earnings for those employees not covered under production worker, construction worker, or nonsupervisory employee definitions.

Average hourly earnings, including lump-sum wage payments. These series are compiled only for aircraft (SIC 3721) and guided missiles and space vehicles (SIC 3761) manufacturing. The same concepts and estimation methods apply to these series as apply to the average hourly earnings series described above; the one difference between the series is definitional. The payroll data used to calculate this series include lump-sum payments made to production workers in lieu of general wage rate increases; such payments are excluded from the definition of gross payrolls used to calculate the other average hourly earnings series.

For each sample establishment in SIC 3721 and SIC 3761

covered by a lump-sum agreement, the reported payroll data are adjusted to include a prorated portion of the lump-sum payment. Such payments are generally made once a year and cover the following 12-month period. In order to spread the payment across this time period, a prorated portion of the payment is added to the payroll each month. This prorated portion is adjusted by an exit rate to reduce the lumpsum amount to account for persons who received the payment but left before the payment allocation period expired.

Average hourly earnings, excluding overtime. Average hourly earnings, excluding overtime premium pay are computed by dividing the total production worker payroll for the industry group by the sum of total production worker hours and one-half of total overtime hours. No adjustments are made for other premium payment provisions, such as holiday work, late-shift work, and overtime rates other than time and one-half.

Railroad hours and earnings. The figures for Class I railroads (excluding switching and terminal companies) are based on monthly data summarized in the M-300 report of the Interstate Commerce Commission and relate to all employees except executives, officials, and staff assistants (ICC group I) who received pay during the month. Average hourly earnings are computed by dividing total compensation by total hours paid for. Average weekly hours are obtained by dividing the total number of hours paid for, reduced to a weekly basis, by the number of employees, as defined above. Average weekly earnings are derived by multiplying average weekly hours by average hourly earnings.

Average weekly earnings. These estimates are derived by multiplying average weekly hours estimates by average hourly earnings estimates. Therefore, weekly earnings are affected not only by changes in average hourly earnings but also by changes in the length of the workweek. Monthly variations in such factors as the proportion of part-time workers, stoppages for varying reasons, labor turnover during the survey period, and absenteeism for which employees are not paid may cause the average workweek to fluctuate.

Long-term trends of average weekly earnings can be affected by structural changes in the makeup of the work force. For example, persistent long-term increases in the proportion of part-time workers in retail trade and many of the services industries have reduced average workweeks in these industries and have affected the average weekly earnings series.

Real earnings. These earnings are in constant dollars and are calculated from the earnings averages for the current month using a deflator derived from the Consumer Price Index for Urban Wage Earners and Clerical Workers (CPI-W). The reference year for these series is 1982.

161


ESTIMATING METHODS

The Current Employment Statistics (CES) or establishment survey estimates of employment are generated through an annual benchmark and monthly sample link procedure. Annual universe counts or benchmark levels are generated primarily from administrative records on employees covered by unemployment insurance (UI) tax laws. These annual benchmarks, established for March of each year, are projected forward for each subsequent month based on the trend of the sample employment, using an estimation procedure called the link relative. Benchmarks and sample link relatives are computed for each of 1,703 basic estimation cells defined by industry, size, and geography for the CES national estimates, and summed to create aggregate level employment estimates.

Benchmarks The establishment survey constructs annual benchmarks

in order to realign the sample-based employment totals for March of each year with the Ul-based population counts for March. These population counts are much less timely than sample-based estimates; however, they provide an annual point-in-time census for employment.

Population counts are derived from the administrative file of employees covered by UI. All employers covered by UI laws are required to report employment and wage information to the appropriate State employment security agency four times a year. Approximately 99 percent of in-scope private employment is covered by UI. A benchmark for the remaining 1 percent is constructed from alternate sources, primarily records from the Interstate Commerce Commission and the Social Security Administration. The full benchmark developed for March replaces the March sample-based estimate for each basic cell. The monthly sample-based estimates for the year preceding and the year following the benchmark are also then subject to revision.

Monthly estimates for the year preceding the March benchmark are readjusted using a "wedge back" procedure. The difference between the final benchmark level and the previously published March sample estimate is calculated and spread back across the previous 11 months. The wedge is linear; eleven-twelfths of the March difference is added to the February estimates, ten-twelfths to the January estimates, and so on, back to the previous April estimates which receive one-twelfth of the March difference. This assumes that the total estimation error since the last benchmark accumulated at a steady rate throughout the current benchmark year.

Estimates for the 11 months following the March benchmark are also recalculated each year. These post-benchmark estimates reflect the application of sample-based monthly changes to new benchmark levels for March, and the recomputation of bias adjustment factors for each month. Bias factors are updated to take into account the most recent experience of the estimates generated by the monthly

sample versus the full universe counts derived from the UI. Following the revision of basic employment estimates,

all other derivative series (e.g., production workers, average hourly earnings) are also recalculated. New seasonal adjustment factors are calculated and all data series for the previous 5 years are reseasonally adjusted, prior to full publication of all revised data in June of each year.

Monthly estimation Estimates are derived from a sample of approximately

390,000 business establishments nationwide. A current month's estimate is derived as the product of the previous month's estimate and a sample link relative for the current month. A bias adjustment factor is then applied to this result primarily to help account for new business births during die month.

Stratification. The sample is stratified into 1,703 basic estimation cells for purposes of computing national employment, hours, and earnings estimates. Cells are defined primarily by detailed industry, and secondarily by size for a majority of cells. In a few industries, mostly within the construction division, geographic stratification is also used. Industry classification is in accordance with the 7987 Standard Industrial Classification Manual (SIC); most estimation cells are defined at the 4-digit SIC level.

This detailed stratification pattern allows for the production and publication of estimates in considerable industry detail. Sub-industry stratification by size is important because major statistics which the survey measures, particularly employment change and average earnings, often vary significantly between establishments of different size. Stratification reduces the variance of the published industry level estimates.

Link relative technique. A ratio of the previous to the current month's employment is computed from a sample of establishments reporting for both months—this ratio is called a "link relative." For each basic cell, a link relative is computed and applied to the previous month's employment estimate to derive the current month's estimate. Thus a March benchmark is moved forward to the next March benchmark through application of monthly link relatives. Basic cell estimates created through the link relative technique are aggregated to form published industry level estimates, for employment, as described in table 2-A. Basic estimation and aggregation methods for the hours and earnings data are also shown in table 2-A.

Bias adjustment. Bias adjustment factors are computed at the 3-digit SIC level, and applied each month at the basic cell level, as part of the standard estimation procedures. The main purpose of bias adjustment is to reduce a primary source of nonsampling error in the survey, the inability to capture, on a timely basis, employment generated by new firm births. There is a several month lag between an

162


Table 2-A. Summary of methods for computing industry statistics on employment, hours, and earnings

Employment, hours, and earnings

All employees

Production or nonsupervlsory work-


Average weekly overtime hours



All employees, women employees, and production or nonsupervisory



Basic estimating cell (industry, region, size or region/size cell)

Aggregate industry level (division and, where stratified, industry)

Monthly data

All-employee estimate for previous month multiplied by ratio of all employees in current month to all employees in previous month, for sample establishments which reported for both months.1

All-employee estimate for current month multiplied by (1) ratio of production or nonsupervisory workers to all employees in sample establishments for current month, (2) estimated ratio of women to all employees.2

Production or nonsupervisory worker hours divided by number of production or nonsupervisory workers.2

Production worker overtime hours divided by number of production workers.2

Total production or nonsupervisory worker payroll divided by total production or nonsupervisory worker hours.2

Product of average weekly hours and average hourly earnings.

Sum of all-employee estimates for component cells.

Sum of production or nonsupervisory worker estimates, or estimates of women employees, for component cells.

Average, weighted by production or nonsupervisory worker employment, of the average weekly hours for component cells.

Average, weighted by production worker employment, of the average weekly overtime hours for component cells.

Average, weighted by aggregate hours, of the average hourly earnings for component cells.


Annual average data

Sum of monthly estimates divided by 12.

Annual total of aggregate hours (production or nonsupervisory worker employment multiplied by average weekly hours) divided by annual sum of employment.

Annual total of aggregate overtime hours (production worker employment multiplied by average weekly overtime hours) divided by annual sum of employment.

Annual total of aggregate payrolls (product of production or nonsupervisory worker employment by weekly hours and hourly earnings) divided by annual aggregate hours.


Sum of monthly estimates divided by 12.

Annual total of aggregate hours for production or nonsupervisory workers divided by annual sum of employment for these workers.

Annual total of aggregate overtime hours for production workers divided by annual sum of employment for these workers.

Annual total of aggregate payrolls divided by annual aggregate hours.


1 The estimates are computed by multiplying the above product by bias adjustments factors, which compensate for the underrepresentation of newly formed enterprises and other sources of bias in the sample.

2 The sample production-worker ratio, women-worker ratio, average weekly hours, average overtime hours, and average hourly earn

ings are modified by a wedging technique designed to compensate for changes in the sample arising mainly from the voluntary character of the reporting. The wedging procedure accepts the advantage of continuity from the use of the matched sample and, at the same time, tapers or wedges the estimate toward the level of the latest sample average.

163


establishment opening for business and its appearing on the UI universe frame and being available for sampling. Because new firms generate a portion of employment growth each month of the year, nonsampling methods must be used to capture this growth, otherwise substantial under estimation of total employment levels would occur. Formal bias adjustment procedures have been used by the establishment survey since the late 1960's. Prior to the 1983 benchmark, bias adjustments were derived from a simple mean error model, which averaged undercount errors for the previous 3 years to arrive at bias projections for the coming year. The undercount errors were measured as the difference between sample-based estimate results and benchmark levels.

This procedure eventually proved inadequate during periods of rapidly changing employment trends, and the bias adjustment methodology was revised. Research done in the early 1980's indicated that bias requirements were strongly correlated with current employment growth or decline. Based on this research, a revised method was developed which incorporated the sample data on employment growth over the most recent two quarters, and a regression-derived coefficient for the significance of that change, to adjust the mean error model results. This change in methodology provided a more cyclically sensitive bias model. The regression-adjusted mean error model has been in use since 1983, for the production of national estimates.

The current model still has limitations in its ability to react to changing economic conditions or changing error structure relationships between the sample-based estimates and the UI universe counts. A principal limitation is the inability to incorporate UI universe counts as they become available on an ongoing basis, with a 6- to 9-month lag from the reference period. Thus, the current quarterly outputs from the model are subject to intervention analysis, and adjustments can be made to its results, prior to the establishment of final bias levels for a quarter. Review is done primarily in terms of detection of outlier (i.e. abnormally high or low) values, and by comparison of CES sample and bias trends with the most recent quarterly observations of UI universe counts. The BLS currently has under study improved bias models utilizing a Kalman filter technique, which would allow a more formal, structured incorporation of each quarter's UI universe counts in the bias modeling process.

Although the primary function of bias adjustment is to account for employment resulting from new business formations, it also adjusts for other elements of nonsampling error in the survey, because the primary input to the modeling procedure is total estimation error. Significant among these nonsampling error sources is a business death bias. When a sampled firm closes down, most often it simply does not respond to the survey that month, rather than reporting zero employment. Followup with nonrespondents may reveal an out-of-business firm, but this information is often received too late to incorporate into monthly esti

mates, and the firm is simply treated as a nonrespondent for that month.

Because the bias adjustments incorporated into the estimates represent a composite of a birth bias, death bias, and a number of other differences between the sample-based estimates and the population counts, the monthly bias adjustment levels have no specific economic meaning in and of themselves.

Table 2-B summarizes bias adjustments for the 1984-94 period. The table displays the average monthly "bias added" and the average monthly "bias required" with the benchmark revisions for each year. Bias added shows the average amount of bias which was added each month over the course of an interbenchmark period. For example, the bias added for 1994 is listed as 115,000; this represents the average of bias adjustments made each month over the period April 1993 through March 1994. Bias required is computed retrospectively, after the March benchmark for a given year is known. Bias required figures are calculated by taking the difference between a March estimate derived purely from the sample (i.e. a series calculated without bias adjustment) and the March benchmark. Dividing this figure by 12 gives the average monthly bias required figure. The bias required is thus defined as the amount of bias adjustment which would have achieved a zero benchmark error. The difference between the total bias required and the total bias added is then, by definition, approximately the benchmark revision amount, for any given year. Also provided in the table for illustration, are the March-to-March changes. As discussed above, the over-the-year changes indicate correlation with the bias added and bias required figures.

THE SAMPLE

Design The emphasis in the establishment survey is on produc

ing timely data at minimum cost. Therefore, the primary goal of its design is to sample a sufficiently large segment of the universe to provide reliable estimates that can be published both promptly and regularly. The present sample allows BLS to produce preliminary total nonfarm employment estimates for each month, including some limited industry detail, within 3 weeks after the reference period, and data in considerably more detail with an additional one-month lag.

The sampling plan used in the establishment survey is a form of sampling with probability proportionate to size, known as "sampling proportionate to average size of establishment". This is an optimum allocation design among strata because sampling variance is proportional to the average size of establishments. The universe of establishment employment is highly skewed, with a large percentage of total employment concentrated in relatively few establishments. Because variance on a population total estimate is a function of percentage universe coverage achieved by the sample, it is efficient to sample larger establishments at a

164


higher rate than smaller establishments, assuming the cost per sample unit is fairly constant across size classes.

Under the establishment survey design, large establishments fall into a certainty strata for sample selection. The size of the sample for the various industries is determined empirically on the basis of experience and cost considerations. For example, in a manufacturing industry with a high proportion of total employment concentrated in a small number of establishments, a larger percent of total employment is included in the sample. Consequently, the sample design for such industries provides for a complete census of the large establishments, with a relatively few chosen from among the smaller establishments. For an industry in which a large proportion of total employment is concentrated in small establishments, the sample design again calls for inclusion of all large establishments but also for a more substantial number of smaller ones. Many industries in the trade and services divisions fall into this category. To keep the sample to a size which can be handled by available resources, it is necessary to have a sample design for these industries with a smaller proportion of total universe coverage than is the case for most manufacturing industries.

Coverage The establishment survey is the largest monthly sam

pling operation in the field of social statistics. Table 2-C shows the latest benchmark employment levels and the approximate proportion of total universe employment coverage, at the total nonfarm and major industry division levels. The coverage for individual industries within the divisions may vary from the proportions shown.

Reliability The establishment survey, like other sample surveys, is

1 Universe counts for March of each year are used to make annual benchmark adjustments to the employment estimates. About 99 percent of the benchmark employment is from unemployment insurance administrative records, and the remaining 1 percent is from alternate sources. Data represent benchmark levels as originally computed.

2 Difference between the final March sample-based estimate and the benchmark level for total private employment.

3 The average amount of bias adjustment each month over the

subject to two types of error, sampling and nonsampling error. The magnitude of sampling error, or variance, is directly related to the size of the sample and the percentage of universe coverage achieved by the sample. The establishment survey sample covers over one-third of total universe employment; this yields a very small variance on the total nonfarm estimates. Measurements of error associated with sample estimates are provided in tables 2-D through 2-G.

Benchmark revision as a measure of survey error. The sum of sampling and nonsampling error can be considered total survey error. Unlike most sample surveys which publish sampling error as their only measure of error, the CES can derive an annual approximation of total error, on a lagged basis, because of the availability of the independently derived universe data. While the benchmark error is used as a measure of total error for the CES survey estimate, technically, it actually represents the difference between two independent estimates derived from separate survey processes (i.e., the CES sample process and the UI universe process) and thus reflects the errors present in each program. Historically, the benchmark revision has been very small for total nonfarm employment. Over the past decade, percentage benchmark error has averaged 0.2 percent, with a range from zero to 0.6 percent. Table 2-D shows the most current benchmark revisions, along with 10-year mean revisions and mean absolute revisions for major industries. Mean revisions give an indication of bias in the estimates; unbiased estimates have a mean revision close to zero, as over and under estimations cancel out over time. Mean absolute revisions give an overall indicator as to the accuracy of the estimates; the larger the value, the further the estimate was from the final benchmark level.

Over-the-year employment

change5

4,328 3,075 1,758 1,969 3,007 2,835

1,531 -1,756

-443 1,443 2,940

course of an inter-benchmark period, i.e., from April of the prior year through March of the given year.

4 The difference between the March benchmark and the March estimate derived solely from the sample without bias adjustment, converted to a monthly amount by dividing by 12.

5 March-to-March changes in the benchmark employment level. NOTE: Data in this table exclude government employment be

cause there is no bias adjustment for this sector.

Table 2-B. March employment benchmarks and bias adjustments for total private industries, March 1984-94

Year

1984 1985 1986 1987 1988 1989

1990 1991 1992 1993 1994

Benchmark

Employment1

76,371 79,446 81,204 83,173 86,180 89,015

90,546 88,790 88,347 89,790 92,730

Revision2

341 -131 -400

21 -310 -93

-261 -583 -130 288 688

Average monthly bias

Added3

140 152 149 98

114 131

85 61 33 83

115

Required4

169 141 116 99 88

123

63 12 22

107 171

165


Estimated standard errors for employment, hours, and earnings. The hours and earnings estimates for the basic estimating cells do not have universe data sources available and therefore are not subject to benchmark revisions, although the broader groupings may be affected slightly by changes in employment weights. Like the employment estimates, the hours and earnings estimates are also subject to sampling and nonsampling errors. Estimates of the sampling error for employment, hours, and earnings were computed using the method of random groups and are expressed as relative standard errors (standard error divided by the estimate). Relative standard errors for individual industries with the specified number of employees are presented in table 2-E and for major industries in table 2-F. Multiplying the relative standard error by its estimated value gives the estimate of the standard error. The errors presented here are based on averages observed from sample data over the March 1992 through March 1993 period.

Standard errors for differences between industries and times. The standard error of a difference is required to test for significant differences between estimates from two different industries. Since the estimates for the two industries are independent, the standard error of a difference is the square root of the sum of the estimated variance of each estimate, S{

2 and S22.

S difference = Js] + S*

The CES sample overlaps almost entirely from month to month, so monthly estimates are not independent. The co-variance between these estimates must be accounted for when testing the significance of the change in estimates over time. The standard error of the change can be estimated as follows.

S change = 7s? + s* - 2>os1s2

If Si = S2, then:

S change = ^2sJ ( l -p )

Conservative estimates of p after one month are 0.8 for employment, 0.6 for average weekly hours, and 0.8 for average hourly earnings.

If the bias is small, then the standard error can be used to construct approximate confidence intervals or range of values that include the true population value. If the process of selecting a sample from the population were repeated many times and an estimate and its standard error calculated for each sample, then approximately 68 percent of the intervals from one standard error below the estimate to one stan

dard error above the estimate would include the true population value.

Noneconomic code changes. A major source of benchmark revision at the major industry division level and below are noneconomic code changes, which are introduced into the universe data in the first quarter of each calendar year.

Approximately one-third of all establishments in the universe are included in the universe program's annual Standard Industrial Classification (SIC) refiling survey. Corrections to individual establishments' SIC and ownership codes are made through this process. The refiling cycle is such that every third year entire division(s) are subject to refiling. The volume of these adjustments is generally quite large and has a substantial impact on universe employment counts at the industry levels, although the total nonfarm employment level remains unaffected. For example, in a year when the services division is refiled, a substantial amount of employment is usually reclassified out of services to other major divisions, thus, lowering the bench-

Table 2-C. Employment benchmarks and approximate coverage of BLS employment and payrolls sample, March 1994

Industry

Total

Mining Construction


Wholesale trade.. Retail trade Finance, insurance, and real estate...

Services Government:

Federal State

Benchmarks (thousands)

112,141

592 4,497

18,092

5,890 6,047

19,857

6,883 30,872

2,878 4,655

11,878

Sample coverage1

Number of establish

ments

331,295

3,738 27,010 61,052

217,887 26,573 65,679

24,698 80,046

O 5,916

18,696

Employees

Number (thousands)

44,280

256 909

9,227

2,461 1,121 4,994

2,272 8,104

2,878 3,822 8,236

Percent of

benchmarks

39

43 20 51

42 19 25

33 26

100 82 69

Counts reflect reports used in final estimates. Because not all establishments report payroll and hours information, hours and earnings estimates are based on a smaller sample than employment estimates.

* The Interstate Commerce Commission provides a complete count of employment for Class I railroads. A small sample is used to estimate hours and earnings data.

3 Total Federal employment counts by agency for use in national estimates are provided to BLS by the Office of Personnel Management. Detailed industry estimates for the Executive Branch, as well as State and area estimates of Federal employment, are based on a sample of 5,530 reports covering about 59 percent of employment in Federal establishments.

166


Table 2-D. Current (March 1994) and historical benchmark revisions (Numbers in thousands)

Industry

March 1994 benchmark revision

Level Percent

10-year average mean percent revision1

Actual

Total

Total private

Goods-producing

Mining Metal mining Coalmining Oil and gas extraction Nonmetallic minerals, except fuels


Manufacturing

Durable goods


Blast furnaces and basic steel products.... Fabricated metal products Industrial machinery and equipment

Computer and office equipment Electronic and other electrical equipment

Electronic components and accessories ... Transportation equipment '.



Nondurable goods

Food and kindred products Tobacco 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 miscellaneous plastics products Leather and leather products

Service-producing


Railroad transportation Local and interurban passenger transit Trucking and warehousing Water transportation Transportation by air Pipelines, except natural gas Transportation services

Communications and public utilities Communications Electric, gas, and sanitary services


747

668

311

-4 -1 -2 -4 3

84 28 16 39

0.7

.7

1.3

-.7 -2.1 -1.8 -1.2 3.1

1.9 2.5 2.5 1.4

-0.1

-.1

-.3

-1.7 -2.8 -1.1 -2.2

-.6

-.5 -.2 (2) -.7

231 158

20 5 3

12 5

19 39 12 18 8

19 13 1 9

12

73

12 3 1

15 7

12 7 1

18 -1

436

132 90 -5 17 42

5 11 -1 20 42 37 5

74 74

0

1.3

1.5

2.7 1.0 .6

1.7 2.1 1.4 2.0 3.4 1.2 1.5 1.1 1.5 .2

1.0 3.1

.9

.7 7.0

.1 1.5 1.0 .8 .7 .7

1.9 -.9

2.2 2.4

-2.1 4.1 2.4 3.0 1.5

-5.9 5.2 1.9 2.9

.5

1.2 2.1

0

-.2

-.1

-.3 (2) -.1 -.3 (2) -.1 -.4 -.2 -.7 -.3 .8

1.2 .6

-.1 -.1

-.3

-.4 -1.2 -.1 -.7

0 -.3 -.1 -.3 .1

-1.1

(2) -.2 -.5 -.2 1.2 -.3

-2.0 -1.2 1.1

-1.1 .2 .4

-.1

-.6 -.7 -.3


167


Table 2-D. Current (March 1994) and historical benchmark revisions—Continued (Numbers In thousands)

Industry

March 1994 benchmark revision

Level Percent

10-year average mean percent revision1

Actual


Department stores Food stores Automotive dealers and service stations

New and used car dealers Apparel and accessory stores Furniture and home furnishings stores Eating and drinking places Miscellaneous retail establishments


Depository institutions Commercial banks Savings institutions3

Nondepository institutions Mortgage bankers and brokers

Security and commodity brokers Holding and other investment offices

Insurance Insurance carriers Insurance agents, brokers, and service

Real estate

Services4



Help supply services3

Computer and data processing services Auto repair, services, and parking Miscellaneous repair services Motion pictures Amusement and recreation services Health services

Offices and clinics of medical doctors Nursing and personal care facilities Hospitals Home health care services3



Museums and botanical and zoological gardens Membership organizations Engineering and management services3

Engineering and architectural services Management and public relations3

Services, nee

Government Federal


Education Other State government


266 -5 89 81 50 -21 -11 -12 -2

118 49 144 68 32 2 29 23 15 13 -2 52 34 19 24

■259 14 17 3

160 -12 -58 4

-30 -62 -44 -11 41 -34 -19 17 -25 22 -14 80 -50 -32 -10 0 10 -46 -10 -8 0 79 0 0 12 15 -3 67 16 50

1.3 -.6 3.7 3.8 1.5 -1.0 -1.2 -1.1 -.2 1.7 2.0 2.1 2.1 1.5 .1 9.2 4.5 5.5 2.6 -.9 2.3 2.2 2.8 1.8 -.8 2.9 1.1 .3

-2.7 -1.4 -2.8

2 -3.2 -6.5

-13.5 -2.5 3.4 -.4

-1.2 1.0 -.7 4.1 -1.5 4.2 -2.3 -6.3 -1.7 0 .5

-1.8 -1.3 -1.1 0 .4 0 0 .3 .8 -.1 .6 .2 1.0

.2

.5 1.6 2.2 -.7 -1.1 -.3 .9 -.6 .5 -.1 -.1 -.5

-1.0 -.4 -4.9 .8 2.1 .2 -.5 .5 .8 -.2 -.2 (2) 2.8 .2 -.1 -.1 .7 1.0 1.5 -1.7 -1.1 -2.1 .7 .8 -.7

-1.8 -.9 -.5 .6 -.3 1.2 -1.0 -3.7 .1 1.4 2.3 .4

-1.6 2.5 -1.0 .1 0 0 .4 .9 (2) (2) (2) (2)

1 Data relate to the 1985-94 benchmarks, as originally published, unless otherwise noted.

2 Less than 0.05 percent.

3 Data relate to 1989-94. 4 Includes other industries, not shown separately.

168


Table 2-E. Relative standard errors1 for estimates of employment, hours, and earnings (In percent)

S ze of employment estimate

50,000 100,000 200,000 500,000 1,000,000 2,000,000

Employment

1.3 1.0 .8 .6 .4 .3


2.0 1.5 1.1

.8

.6

.5

Average hourly

earnings

2.9 2.4 1.9 1.4 1.1 .9

Relative errors were estimated with sample data from March 1992-March1993.

Table 2-F. Relative standard errors1 for estimates of employment, hours, and earnings by industry (in percent)

Industry

Total private Mining Construction Manufacturing


Transportation and

Wholesale trade Retail trade Finance, insurance, and real estate

Employment

0.1 .4 .4 .1 .2 .1

.2

.2

.1

.3

.2


0.4 .7 .2 .2 .2 .3

1.5 .4 .3

.5

.7

Average hourly

earnings

0.3 1.0

.3

.4

.5

.4

1.7 .3 .3

.4

.4

Relative errors were estimated with sample data from March 1992-March1993.

mark level for services, and potentially causing a significant downward revision in the services employment totals previously published.

Revisions between preliminary and final data. First preliminary estimates of employment, hours, and earnings, based on less than the total sample, are published immediately following the reference month. Final revised sample-based estimates are published 2 months later when nearly

all the reports in the sample have been received. Table 2-G presents the root-mean-square error, the mean percent, and the mean absolute percent revision that may be expected between the preliminary and final employment estimates.

Revisions of preliminary hours and earnings estimates are normally not greater than 0.1 of an hour for weekly hours and 1 cent for hourly earnings, at the total private nonfarm level, and may be slightly larger for the more detailed industry groupings.

STATISTICS FOR STATES AND AREAS

(Tables B-7, B-14, and B-18) As explained earlier, State agencies in cooperation with

BLS collect and prepare State and area employment, hours, and earnings data. These statistics are based on the same establishment reports used by BLS, however, BLS uses the full CES sample to produce monthly national employment estimates, while each State agency uses its portion of the sample to independently develop a State employment estimate.

The CES area statistics relate to metropolitan areas. Definitions for all areas are published each year in the issue of Employment and Earnings that contains State and area annual averages (usually the May issue). Changes in definitions are noted as they occur. Additional industry detail may be obtained from the State agencies listed on the inside back cover of each issue.

Caution in aggregating State data. The national estimation procedures used by BLS are designed to produce accurate national data by detailed industry; correspondingly the State estimation procedures are designed to produce accurate data for each individual State. State estimates are not forced to sum to national totals nor vice versa. Because each State series is subject to larger sampling and nonsampling errors than the national series, summing them cumulates individual State level errors and can cause distortions at an aggregate level. This has been a particular problem at turning points in the U.S. economy, when the majority of the individual State errors tend to be in the same direction. Due to these statistical limitations, the Bureau does not compile or publish a "sum-of-States" employment series. Additionally, BLS cautions users that such a series is subject to a relatively large and volatile error structure, particularly at turning points.

169


Table 2-G. Errors of preliminary employment estimates

Industry Root-mean-square error of monthly level1

Mean percent revision

Actual Absolute

Total

Total private

Goods-producing

Mining Metal mining Coal mining Oil and gas extraction Nonmetallic minerals, except fuels


Manufacturing

Durable goods


Blast furnaces and basic steel products Fabricated metal products Industrial machinery and equipment

Computer and office equipment Electronic and other electrical equipment

Electronic components and accessories.... Transportation equipment



Nondurable goods

Food and kindred products Tobacco 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 miscellaneous plastics products Leather and leather products

Service-producing


Railroad transportation Local and interurban passenger transit Trucking and warehousing Water transportation Transportation by air Pipelines, except natural gas Transportation services

Communications and public utilities Communications Electric, gas, and sanitary services


74,700

56,600

15,700

2,300 500

1,000 2,200

400 9,700 4,100 4,100 6,000

11,200

8,100 1,400 1,300 1,200 1,900 1,500 2,200 2,500 1,200 2,800 1,400 3,800 3,600 1,400 1,900 1,500

6,000

3,500 500

1,600 2,600 1,500 1,700 1,600

900 1,700

700 68,900 8,700 7,000 2,400 3,300 4,800 2,100 2,300

200 1,100 4,500 4,200 1,900

6,900 3,800 4,700

0

0

0

0 0

-0.1 0 0

.1 0 .1 .1

.1 0 0 0

-.1 0 0 0 0 0 0 .1

-.1 0 0

0 0 0 0 0 0

-.1 0 .1 0

0 0

-.1 .1 0 .1 .1 -.3 -.1 0 .1 0

0 0 0

0.1

.3

.6

.6

.4

.3

.2

.3

.4

.2

.2

.2

.2

.2

.5

.1

.1

.3

.1

.2

.2

.3

.2

.2

.3

.1

.2

.7

.7

.2 1.0

.2

.7

.3

.1

.2

.2

.1

.1

.1


170


Table 2-G. Errors of preliminary employment estimates—Continued

Industry Root-mean-square error of monthly level1

Mean percent revision

Actual Absolute


Department stores Food stores Automotive dealers and service stations

New and used car dealers Apparel and accessory stores Furniture and home furnishings stores Eating and drinking places Miscellaneous retail establishments


Depository institutions Commercial banks Savings institutions

Nondepository institutions Mortgage bankers and brokers

Security and commodity brokers Holding and other investment offices

Insurance Insurance carriers Insurance agents, brokers, and service

Real estate

Services2



Help supply services 3

Computer and data processing services Auto repair, services, and parking Miscellaneous repair services Motion pictures Amusement and recreation services Health services

Offices and clinics of medical doctors Nursing and personal care facilities Hospitals Home health care services



Museums and botanical and zoological gardens Membership organizations Engineering and management services3

Engineering and architectural services 3

Management and public relations 3

Services, nee

Government Federal


Education Other State government ,


34,500 2,500

16,800 15,700 5,600 3,200 1,300 6,100 4,100

12,700 8,400 6,800 4,500 3,200 2,600 1,300 1,500 1,100 1,100 1,800 3,300 2,900 1,000 3,200

31,200 2,800 6,300

10,000 14,400 3,100

10,300 9,700 2,700 2,500 1,300 4,500

12,100 6,200 3,100 2,100 3,100 1,600 1,500

12,200 7,800 4,500 1,400

800 4,000 4,400 2,400 2,400 1,300

37,900 14,000 13,200 14,900 12,300 7,700

25,300 19,800 20,500

.1 0 .1 .1 0 0

-.1 .1 .1 .1 .2

0 0

-.1 -.1 0 0 0 .1 0 0

-.1 0 0

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

0 0 .1 .1 .1 0

.1

.2

.5

.5

.1

.1

.1

.4

.4

.1

.2

.1

.1

.1

.1

.3

.3

.5

.2

.6

.1

.1

.1

.2

.1

.4

.3

.6

.2

.3

.4

.4

.3

.2

.3

.9

.6

.1

.2

.1

.1

.3

.1

.6

.3

.6

.2

.8

.2

.1

.3

.3

.4

.2

.3

.4

.3

.6

.2

.2

.3

.3

1 The root-mean-square error is the square root of the mean squared error. The mean squared error is the square of the difference between the final and preliminary estimates averaged across a series of monthly observations.

2 Data based on differences from August 1990 through December 1993.

3 Includes other industries, not shown separately. NOTE: Errors are based on differences from January 1990

through December 1994, unless otherwise noted.

171


Region, State, and Area Labor Force Data ("C" tables)

FEDERAL-STATE COOPERATIVE PROGRAM

Labor force and unemployment estimates for States, labor market areas (LMA's), and other areas covered under Federal assistance programs are developed by State employment security agencies under a Federal-State cooperative program. The local unemployment estimates which derive from standardized procedures developed by BLS are the basis for determining eligibility of an area for benefits under Federal programs such as the Job Training and Partnership Act.

Annual average data for the States and over 260 areas shown in table C-3 are published in Employment and Earn-ings (usually the May issue). For regions, States, selected metropolitan areas, and central cities, annual average data classified by selected demographic, social, and economic characteristics are published in the BLS bulletin, Geographic Profile of Employment and Unemployment.

Labor force estimates for counties, cities, and other small areas have been prepared for administration of various Federal economic assistance programs and may be ordered from the Superintendent of Documents, U.S. Government Printing Office, Washington, DC 20402. The report "Unemployment in States and Local Areas" is published monthly through GPO and is available in microfiche form only, on a subscription basis.

ESTIMATING METHODS

Monthly labor force, employment, and unemployment estimates are prepared for the 50 States, the District of Columbia, and over 6,500 areas, including nearly 2,400 LMA's, counties, and cities with a population of 25,000 or more. The estimation methods are described below for States (and the District of Columbia) and for sub-State areas. At the sub-LMA level, (county and city), estimates are prepared using disaggregation techniques based on decennial and annual population estimates and current unemployment insurance data. A more detailed description of the estimation procedure is contained in the BLS document, Manual for Developing Local Area Unemployment Statistics.

Estimates for States

Current monthly estimates. The civilian labor force and unemployment estimates for 11 large States—California, Florida, Illinois, Massachusetts, Michigan, New Jersey, New York, North Carolina, Ohio, Pennsylvania, and Texas—are sufficiently reliable to be taken directly from the Current

Population Survey (CPS) on a monthly basis. These are termed "direct-use States." For a description of the CPS concepts, see "Household Data," above.

For the 39 smaller States and the District of Columbia, which do not use the CPS directly each month, models based on a "signal-plus-noise" approach are used to develop employment and unemployment estimates. These are the "non-direct-use" States. The model of the signal is a time series model of the true labor force which consists of three components: A variable coefficient regression, a flexible trend, and a flexible seasonal component. The regression techniques are based on historical and current relationships found within each State's economy as reflected in the different sources of data that are available for each State—the CPS, the Current Employment Statistics(CES) survey, and the unemployment insurance (UI) system. The noise component of the models explicitly accounts for autocorrelation in the CPS sampling error and changes in the average magnitude of the error. In addition, the models can identify and remove the effects of outliers in the historical CPS series. While all the State models have important components in common, they differ somewhat from one another to better reflect individual State characteristics.

Two models—one for the employment-to-population ratio and one for the unemployment rate—are used for each State. The employment-to-population ratio, rather than the employment level, and the unemployment rate, rather than the unemployment level, are estimated primarily because these ratios are usually more meaningful for economic analysis.

The employment-to-population ratio models use the relationship between the State's monthly employment from the CES and the CPS. The models also include trend and seasonal components to account for movements in the CPS not captured by the CES series. The seasonal component accounts for the seasonality in the CPS not explained by the CES while the trend component adjusts for long-run systematic differences between the two series.

The unemployment rate models use the relationship between the State's monthly unemployment insurance (UI) claims data and the CPS unemployment rate, along with trend and seasonal components.

In both the employment-to-population ratio and unemployment rate models, an important feature is the use of a technique that allows the equations to adjust automatically to structural changes that occur. The regression portion of the model includes a built-in tuning mechanism, known as the Kalman Filter, which revises a model's coefficients when the new data that become available each month indicate that changes in the data relationships have taken place. Once

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the estimates are developed from the models, levels are calculated for the employment, unemployment, and labor force levels.

Benchmark correction procedures. Once each year, monthly estimates for the 39 non-direct-use States and the District of Columbia are adjusted, or benchmarked, by BLS to the annual average CPS estimates. The benchmarking technique employs a procedure (called the Denton method) which adjusts the annual average of the models to equal the CPS annual average, while preserving, as much as possible, the original monthly seasonal pattern of the model estimates.

In the 11 direct-use States, no benchmark correction is required; the average of the 12 monthly State CPS estimates will equal the CPS annual averages.

Estimates for sub-State areas Monthly labor force and employment estimates for two

large sub-State areas—New York City and the Los Angeles-Long Beach metropolitan area—are obtained directly from the CPS. Estimates for the nearly 2,400 LMA's, are prepared through indirect estimation techniques, described below.

Preliminary estimate—employment The total civilian employment estimates are based on CES data. These "place-of-work" estimates must be adjusted to refer to place of residence as used in the CPS. Factors for adjusting from place of work to place of residence have been developed for several categories of employment on the basis of employment relationships at the time of the 1990 decennial

census. These factors are applied to the CES estimates for the current period to obtain adjusted employment estimates, to which are added estimates for employment not represented in the CES—agricultural employees, nonagricultural self-employed and unpaid family workers, and private household workers.

Preliminary estimate—unemployment. In the current month, the estimate of unemployment is an aggregate of the estimates for each of three categories: (1) Persons who were previously employed in industries covered by State UI laws; (2) those previously employed in industries not covered by these laws; and (3) those who were entering the civilian labor force for the first time or reentering after a period of separation.

Sub-State adjustment for additivity. Estimates of employment and unemployment are prepared for the State and LMA's within the State. The LMA estimates geographically exhaust the entire State. Thus, a proportional adjustment must be applied to all sub-State LMA estimates to ensure that they add to the independently estimated State totals for employment and unemployment.

Benchmark correction. At the end of each year, sub-State estimates are revised. The revisions incorporate any changes in the inputs, such as revisions in the CES-based employment figures, corrections in claims counts, and updated historical relationships. The corrected estimates are then readjusted to add to the revised (benchmarked) State estimates of employment and unemployment.

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Seasonal Adjustment

Over the course of a year, the size of the Nation's labor force, the levels of employment and unemployment, and other measures of labor market activity 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. 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 it easier to observe the cyclical and other non-seasonal movements in the series. In evaluating changes in a seasonally adjusted series, it is important to note that seasonal adjustment is merely an approximation based on past experience. Seasonally adjusted estimates have a broader margin of possible error than the original data on which they are based, because they are subject not only to sampling and other errors but are also affected by the uncertainties of the seasonal adjustment process itself. Seasonally adjusted series for selected labor force and establishment-based data are published monthly in Employment and Earnings.

Since January 1980, national labor force data have been seasonally adjusted with a procedure called X-ll ARIMA (Auto-Regressive Integrated Moving Average), which was developed at Statistics Canada as an extension of the standard X-ll method. A detailed description of the procedure appears in The X-ll ARIMA Seasonal Adjustment Method by Estela Bee Dagum, Statistics Canada Catalogue No. 12-564E, January 1983.

At the beginning of each calendar year, projected seasonal adjustment factors are calculated for use during the January-June period. In July of each year, BLS calculates and publishes in Employment and Earnings projected seasonal adjustment factors for use in the second half, based on the experience through June. Revisions of historical data, usually for the most recent 5 years, are made only at the beginning of each calendar year. However, as a result of the revisions to the estimates for 1970-81 based on 1980 census population counts, revisions to seasonally adjusted series in early 1982 were carried back to 1970. In 1994, data were revised only for that year because of the major revisions implemented in the Current Population Survey.

All labor force and unemployment rate statistics, as well as the major employment and unemployment estimates, are computed by aggregating independently adjusted series. For example, for each of the three major labor force components—agricultural employment, nonagricultural employment, and unemployment—data for four sex-age groups (men and women under and over 20 years of age) are separately adjusted for seasonal variation and are then added to

derive seasonally adjusted total figures. The seasonally adjusted figure for the labor force is a sum of eight seasonally adjusted civilian employment components and four seasonally adjusted unemployment components. The total for unemployment is the sum of the four unemployment components, and the unemployment rate is derived by dividing the resulting estimate of total unemployment by the estimate of the labor force. Because of the independent seasonal adjustment of various series, components will not necessarily add to totals.

In each January issue, Employment and Earnings publishes revised seasonally adjusted data for selected labor force series based on the experience through December, new seasonal adjustment factors to be used to calculate the civilian unemployment estimate for the first 6 months of the following year, and a description of the current seasonal adjustment procedure.

Since the early 1980's, BLS has also used the X-l l ARIMA procedure to seasonally adjust national establishment-based employment, hours, and earnings data. The X-11 ARIMA program had been run once each year after benchmarking and seasonal adjustment factors had been projected and published for 12 months ahead (April-March). Beginning in June 1989, with the introduction of the March 1988 benchmarks, the Bureau modified this procedure to parallel that used in seasonally adjusting household survey data. Projected seasonal adjustment factors are calculated and published twice a year. Revisions of historical data are made once a year, coincident with benchmark revisions.

All series are seasonally adjusted using the multiplicative models under X-ll ARIMA. Seasonal adjustment factors are computed and applied at component levels. For employment series, these are generally the 2-digit SIC levels. Seasonally adjusted totals are arithmetic aggregations for employment series and weighted averages of the seasonally adjusted data for hours and earnings series.

Seasonally adjusted average weekly earnings are the product of seasonally adjusted average hourly earnings and seasonally adjusted average weekly hours. Average weekly earnings in constant dollars, seasonally adjusted, are obtained by dividing average weekly earnings, seasonally adjusted, by the seasonally adjusted Consumer 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 weekly hours, seasonally adjusted, by production or nonsupervisory workers, seasonally adjusted, and dividing by the 1982 annual average base. For total private, total goods-producing, total private service-producing, and major industry divisions, the indexes of aggregate weekly

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hours, seasonally adjusted, are obtained by summing the aggregate weekly hours, seasonally adjusted, for the appropriate component industries and dividing by the 1982 annual average base.

Seasonally adjusted data are not published for a number of series characterized by small seasonal components relative to their trend-cycle and/or irregular components. These failed or unsatisfactory seasonally adjusted series, however, are used in the aggregation to broader level seasonally adjusted series.

Seasonal adjustment factors for Federal Government employment are derived from unadjusted data which include Christmas temporary workers employed by the Postal Service. The number of temporary census workers for the decennial census, however, are removed prior to the calculation of seasonal adjustment factors.

BLS has developed an extension of X-ll ARIMA to allow it to adjust more adequately for the effects of the presence or absence of religious holidays in the April survey reference period and of Labor Day in the September reference period. This extension was applied for the first time at the end of 1989 to three persons-at-work labor force series which tested as having significant and well-defined effects in their April data associated with the timing of Easter. This extension was also used for the seasonal adjustment of many of the establishment-based series on average weekly hours and manufacturing overtime hours, starting with the computation of the projected factors for the period beginning in April 1990. Effective with the computation of factors for the November 1993-April 1994 period, an extension of the moving-holiday adjustment was introduced to adjust for the effects of elections on local government employment.

Revised seasonally adjusted national establishment-based series based on the experience through March 1995, new seasonal adjustment factors for May-October 1995, and a description of the current seasonal adjustment procedure

appear in the June 1995 issue of Employment and Earnings. Factors for the Movenber 1995-April 1996 period will appear in the December issue.

Beginning in 1992, BLS introduced publication of seasonally adjusted labor force data for the census regions and divisions, the 50 States, and the District of Columbia (tables C-l and C-2). Using the X-ll ARIMA procedure, seasonal adjustment factors are computed and applied independently to the component employment and unemployment levels and then aggregated to regional or State totals. Current seasonal adjustment factors are produced for 6-month periods twice a year. Historical revisions are made at the beginning of each calendar year. Because of the separate processing procedures, totals for the Nation as a whole differ from the results obtained by aggregating regional or State data.

Beginning in 1993, BLS introduced publication of seasonally adjusted nonfarm payroll employment data by major industry for all States and the District of Columbia (table B-7). Seasonal adjustment factors are applied directly to the employment estimates at the division level (component series for manufacturing and trade) and then aggregated to the State totals. The recomputation of seasonal factors and historical revisions are made coincident with the annual benchmark adjustments. State estimation procedures are designed to produce accurate (unadjusted and seasonally adjusted) data for each individual State. BLS independently develops a national employment series; State estimates are not forced to sum to national totals. Because each Sate series is subject to larger sampling and nonsampling errors than the national series, summing them cumulates individual State level errors and can cause significant distortions at an aggregate level. Due to these statistical limitations, BLS does not compile a "sum-of-States" employment series, and cautions users that such a series is subject to a relatively large and volatile error structure.

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