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EMPLOYMENT AND EARNINGS U.S. Department of Labor Bureau of Labor Statistics August 1995
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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.
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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
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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
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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
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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
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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
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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
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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.
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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.
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HOUSEHOLD DATA HISTORICAL
A - 1 . Employment status of the civilian noninstitutional population 16 years and over, 1961 to date
(Numbers in thousands)
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATA HISTORICAL
A-2. Employment status of the civilian noninstitutional population 16 years and over by sex, 1984 to date
(Numbers in thousands)
Sex, year, and month
Civilian noninstitutional
population
Civilian labor force
Number Percent
of population
Employed
Number Percent
of population
Agriculture Nonagricultural industries
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
Monthly data, seasonally adjusted3
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
Monthly data, seasonally adjusted3
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATA SEASONALLY ADJUSTED
A-3. Employment status of the civilian noninstitutional population by sex and age, seasonally adjusted
(Numbers in thousands)
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
Percent of population Employed
Employment-population ratio ... Unemployed
Unemployment rate
Men, 16 years and over Civilian noninstitutional population1 ....
Civilian labor force Percent of population
Employed Employment-population ratio
Agriculture Nonagricultural industries
Unemployed Unemployment rate
Not in labor force
Men, 20 years and over Civilian noninstitutional population1 ....
Civilian labor force Percent of population
Employed Employment-population ratio
Agriculture Nonagricultural industries
Unemployed Unemployment rate
Not in labor force
Women, 16 years and over Civilian noninstitutional population1
Civilian labor force Percent of population
Employed Employment-population ratio
Agriculture Nonagricultural industries
Unemployed Unemployment rate
Not in labor force
Women, 20 years and over Civilian noninstitutional population1
Civilian labor force Percent of population
Employed Employment-population ratio
Agriculture Nonagricultural industries
Unemployed Unemployment rate
Not in labor force
Both sexes, 16 to 19 years Civilian noninstitutional population1
Civilian labor force Percent of population
Employed Employment-population ratio
Agriculture Nonagricultural industries
Unemployed Unemployment rate
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATA SEASONALLY ADJUSTED
A-4. Employment status of the civilian noninstitutional population by race, sex, age, and Hispanic origin, seasonally adjusted
(Numbers in thousands)
Employment status, race, sex, age, and
Hispanic origin
1994
July Aug. Sept. Oct. Nov. Dec.
1995
Jan. Feb. Mar. Apr. May June July
WHITE
Civilian noninstitutional population1
Civilian labor force Percent of population
Employed Employment-population ratio
Unemployed Unemployment rate
Men, 20 years and over
Civilian labor force Percent of population
Employed Employment-population ratio
Unemployed Unemployment rate
Women, 20 years and over
Civilian labor force Percent of population
Employed Employment-population ratio
Unemployed Unemployment rate
Both sexes, 16 to 19 years
Civilian labor force Percent of population
Employed Employment-population ratio
Unemployed Unemployment rate
Men Women
BLACK
Civilian noninstitutional population1
Civilian labor force Percent of population
Employed Employment-population ratio
Unemployed Unemployment rate
Men, 20 years and over
Civilian labor force Percent of population
Employed Employment-population ratio
Unemployed Unemployment rate
Women, 20 years and over
Civilian labor force Percent of population
Employed Employment-population ratio
Unemployed Unemployment rate
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATA SEASONALLY ADJUSTED
A-4. Employment status of the civilian noninstitutlonal population by race, sex, age, and Hispanic origin, seasonally adjusted—Continued
(Numbers in thousands)
Employment status, race, sex, age, and
Hispanic origin
BLACK—Continued Both sexes, 16 to 19 years
Civilian labor force Percent of population
Employed Employment-population ratio
Unemployed Unemployment rate
Men Women
HISPANIC ORIGIN
Civilian noninstitutional population1
Civilian labor force Percent of population
Employed Employment-population ratio
Unemployed Unemployment rate
1994
July Aug. Sept. Oct. Nov. Dec.
1995
Jan. Feb. Mar. Apr. May June July
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATA SEASONALLY ADJUSTED
A-5. Employed and unemployed full- and part-time workers by sex and age, seasonally adjusted
(Numbers in thousands)
Full- and part-time status, sex, and age
1994
July Aug. Sept. Oct. Nov. Dec.
1995
Jan. Feb. Mar. Apr. May June July
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATA SEASONALLY ADJUSTED
A-6. Employed persons by marital status, occupation, class of worker, and part-time status, seasonally adjusted
(In thousands)
Category 1994
July Aug. Sept. Oct. Nov. Dec.
1995
Jan. Feb. Mar. Apr. May June July
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATA SEASONALLY ADJUSTED
A-7. Employed persons by age and sex, seasonally adjusted
(In thousands)
Age and sex 1994
July Aug. Sept. Oct. Nov. Dec.
1995
Jan. Feb. Mar. Apr. May June | July
Total, 16 years and over ....
16 to 24 years 16 to 19 years
16 to 17 years 18 to 19 years
20 to 24 years 25 years and over
25 to 54 years 55 years and over
Men, 16 years and over
16 to 24 years 16 to 19 years
16 to 17 years 18 to 19 years
20 to 24 years 25 years and over
25 to 54 years 55 years and over
Women, 16 years and over
16 to 24 years 16 to 19 years
16 to 17 years 18 to 19 years
20 to 24 years 25 years and over
25 to 54 years 55 years and over
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
July Aug. Sept. Oct. Nov. Dec.
1995
Jan. Feb. Mar. Apr. May June July
Total, 16 years and over ...
16 to 24 years 16 to 19 years
16 to 17 years 18 to 19 years
20 to 24 years 25 years and over
25 to 54 years 55 years and over
Men, 16 years and over
16 to 24 years 16 to 19 years
16 to 17 years 18 to 19 years
20 to 24 years 25 years and over
25 to 54 years 55 years and over
Women, 16 years and over
16 to 24 years 16 to 19 years
16 to 17 years 18 to 19 years
20 to 24 years 25 years and over
25 to 54 years 55 years and over
7,993
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATA SEASONALLY ADJUSTED
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 ....
16 to 24 years 16 to 19 years
16 to 17 years 18 to 19 years
20 to 24 years 25 years and over
25 to 54 years 55 years and over
Men, 16 years and over
16 to 24 years 16 to 19 years
16 to 17 years 18 to 19 years
20 to 24 years 25 years and over
25 to 54 years 55 years and over
Women, 16 years and over
16 to 24 years 16 to 19 years
16 to 17 years 18 to 19 years
20 to 24 years 25 years and over
25 to 54 years 55 years and over
6.1
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATA SEASONALLY ADJUSTED
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
Mining Construction Manufacturing
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATA SEASONALLY ADJUSTED
A-11. Unemployed persons by reason for unemployment, seasonally adjusted
(Numbers in thousands)
Reasons for unemployment 1994
July Aug. Sept. Oct. Nov. Dec.
1995
Jan. Feb. Mar. Apr. May June July
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
(Numbers in thousands)
Duration
NUMBER OF UNEMPLOYED
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
PERCENT DISTRIBUTION
Total unemployed Less than 5 weeks 5 to 14 weeks 15 weeks and over
15 to 26 weeks 27 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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATA NOT SEASONALLY ADJUSTED
A-13. Employment status of the civilian noninstitutional population by age, sex, and race
(Numbers in thousands)
Age, sex, and race
July 1995
Civilian noninstitutional
population
Civilian labor force
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
16 to 17 years 18 to 19 years
20 to 24 years 25 to 54 years
25 to 34 years 25 to 29 years 30 to 34 years
35 to 44 years 35 to 39 years 40 to 44 years
45 to 54 years 45 to 49 years 50 to 54 years
55 to 64 years 55 to 59 years 60 to 64 years
65 years and over 65 to 69 years 70 to 74 years 75 years and over
Men
16 years and over 16 to 19 years
16 to 17 years 18 to 19 years
20 to 24 years 25 to 54 years
25 to 34 years 25 to 29 years 30 to 34 years
35 to 44 years 35 to 39 years 40 to 44 years
45 to 54 years 45 to 49 years 50 to 54 years
55 to 64 years 55 to 59 years 60 to 64 years
65 years and over 65 to 69 years 70 to 74 years 75 years and over
Women
16 years and over 16 to 19 years
16 to 17 years 18 to 19 years
20 to 24 years 25 to 54 years
25 to 34 years 25 to 29 years 30 to 34 years
35 to 44 years 35 to 39 years 40 to 44 years
45 to 54 years 45 to 49 years 50 to 54 years
55 to 64 years 55 to 59 years 60 to 64 years
65 years and over 65 to 69 years 70 to 74 years 75 years and over
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATA NOT SEASONALLY ADJUSTED
A-13. Employment status of the civilian noninstitutional population by age, sex, and race—Continued
(Numbers in thousands)
Age, sex, and race
July 1995
Civilian noninstitutional
population
Civilian labor force
Total Percent
of population
Employed
Total Percent
of population
Agriculture
Nonagri-cultural
industries
Unemployed
Percent of
labor force
WHITE
16 years and over 16 to 19 years
16 to 17 years 18 to 19 years
20 to 24 years 25 to 54 years
25 to 34 years 25 to 29 years 30 to 34 years
35 to 44 years 35 to 39 years 40 to 44 years
45 to 54 years 45 to 49 years 50 to 54 years
55 to 64 years 55 to 59 years 60 to 64 years
65 years and over 65 to 69 years 70 to 74 years 75 years and over
Men
16 years and over 16 to 19yeare
16 to 17 years 18 to 19year8
20 to 24 years 25 to 54 years
25 to 34 years 25 to 29 years 30 to 34 years
35 to 44 years 35 to 39 years 40 to 44 years
45 to 54 years 45 to 49 years 50 to 54 years
55 to 64 years 55 to 59 years 60 to 64 years
65 years and over 65 to 69 years 70 to 74 years 75 years and over
Women
16 years and over 16 to 19 years
16 to 17 years 18 to 19 years
20 to 24 years 25 to 54 years
25 to 34 years 25 to 29 years 30 to 34 years
35 to 44 years 35 to 39 years 40 to 44 years
45 to 54 years 45 to 49 years 50 to 54 years
55 to 64 years 55 to 59 years 60 to 64 years
65 years and over 65 to 69 years 70 to 74 years 75 years and over
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATA NOT SEASONALLY ADJUSTED
A-13. Employment status of the civilian noninstitutional population by age, sex, and race—Continued
(Numbers in thousands)
Age, sex, and race
July 1995
Civilian noninstitutional
population
Civilian labor force
Total Percent
of population
Employed
Total Percent
of population
culture
Nonagri-cultural
industries
Unemployed
Number
Percent of
labor force
BLACK
16 years and over 16 to 19 years
16 to 17 years 18 to 19 years
20 to 24 years 25 to 54 years
25 to 34 years 25 to 29 years 30 to 34 years
35 to 44 years 35 to 39 years 40 to 44 years
45 to 54 years 45 to 49 years 50 to 54 years
55 to 64 years 55 to 59 years 60 to 64 years
65 years and over 65 to 69 years 70 to 74 years 75 years and over
Men
16 years and over 16 to 19 years
16 to 17 years 18 to 19 years
20 to 24 years 25 to 54 years
25 to 34 years 25 to 29 years 30 to 34 years
35 to 44 years 35 to 39 years 40 to 44 years
45 to 54 years 45 to 49 years 50 to 54 years
55 to 64 years 55 to 59 years 60 to 64 years
65 years and over 65 to 69 years 70 to 74 years 75 years and over
Women
16 years and over 16 to 19 years
16 to 17 years 18 to 19 years
20 to 24 years 25 to 54 years
25 to 34 years 25 to 29 years 30 to 34 years
35 to 44 years 35 to 39 years 40 to 44 years
45 to 54 years 45 to 49 years 50 to 54 years
55 to 64 years 55 to 59 years 60 to 64 years
65 years and over 65 to 69 years 70 to 74 years 75 years and over
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATA NOT SEASONALLY ADJUSTED
A-14. Employment status of the civilian noninstitutional population by race, sex, and age
(Numbers in thousands)
Employment status and race
Total
July 1994
July 1995
Men, 20 years and over
July 1994
July 1995
Women, 20 years and over
July 1994
July 1995
Both sexes, 16 to 19 years
July 1994
TOTAL
Civilian noninstitutional population . Civilian labor force
Percent of population Employed
Agriculture Nonagricultural industries
Unemployed Unemployment rate
Not in labor force
White
Civilian noninstitutional population . Civilian labor force
Percent of population Employed
Agriculture Nonagricultural industries
Unemployed Unemployment rate
Not in labor force
Black
Civilian noninstitutional population . Civilian labor force
Percent of population Employed
Agriculture Nonagricultural industries
Unemployed Unemployment rate
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATA NOT SEASONALLY ADJUSTED
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
(Numbers in thousands)
Enrollment status, educational attainment, race, and Hispanic origin
July 1995
Civilian noninstitutional
population
Civilian labor force
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
Full-time students Part-time students
Women, 16 to 24 years 16 to 19 years 20 to 24 years
High school College
Full-time students Part-time students
White
Total, 16 to 24 years 16 to 19 years 20 to 24 years
Men Women
High school College
Full-time students Part-time students
Black
Total, 16 to 24 years 16 to 19 years 20 to 24 years
Men Women
High school College
Full-time students Part-time students
Hispanic origin
Total, 16 to 24 years 16 to 19 years 20 to 24 years
Men Women
High school College
Full-time students Part-time students
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
See footnotes at end of table.
25
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATA NOT SEASONALLY ADJUSTED
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
(Numbers in thousands)
Enrollment status, educational attainment, race, and Hispanic origin
July 1995
Civilian noninstitutional
population
Civilian labor force
Total Percent of population
Employed
Total Full time
Part time
Unemployed
Looking for
full-time work
Looking for
part-time work
TOTAL NOT ENROLLED
Total, 16 to 24 years 16 to 19 years 20 to 24 years
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
Less than a high school diploma High school graduates, no college Less than a bachelor's degree College graduates
Women, 16 to 24 years 16 to 19 years 20 to 24 years
Less than a high school diploma High school graduates, no college Less than a bachelor's degree College graduates
White
Total, 16 to 24 years 16 to 19 years 20 to 24 years
Men Women
Less than a high school diploma High school graduates, no college Less than a bachelor's degree College graduates
Black
Total, 16 to 24 years 16 to 19 years 20 to 24 years
Men Women
Less than a high school diploma High school graduates, no college Less than a bachelor's degree College graduates
Hispanic origin
Total, 16 to 24 years 16 to 19 years 20 to 24 years
Men Women
Less than a high school diploma High school graduates, no college Less than a bachelor's degree College graduates
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
HOUSEHOLD DATA NOT SEASONALLY ADJUSTED
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
16 to 17 years 18 to 19 years
20 years and over 20 to 24 years 25 years and over
25 to 54 years 55 years and over
Men, 16 years and over 16 to 19 years 20 years and over
20 to 24 years 25 years and over
25 to 54 years 55 years and over
Women, 16 years and over 16 to 19 years 20 years and over
20 to 24 years 25 years and over
25 to 54 years 55 years and over
White
Men, 16 years and over 16 to 19 years 20 years and over
20 to 24 years 25 years and over
25 to 54 years 55 years and over
Women, 16 years and over 16 to 19 years 20 years and over
20 to 24 years 25 years and over
25 to 54 years 55 years and over
Black
Men, 16 years and over 16 to 19 years 20 years and over
20 to 24 years 25 years and over
25 to 54 years 55 years and over
Women, 16 years and over 16 to 19 years 20 years and over
20 to 24 years 25 years and over
25 to 54 years 55 years and over
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATA NOT SEASONALLY ADJUSTED
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATA NOT SEASONALLY ADJUSTED
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
Service occupations Private household Protective service Service, except private household and protective
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
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
Service occupations Private household Protective service Service, except private household and protective
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
Black
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
Service occupations Private household Protective service Service, except private household and protective
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
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATA NOT SEASONALLY ADJUSTED
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
Durable goods Nondurable goods
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATA NOT SEASONALLY ADJUSTED
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
16 to 17 years 18 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
16 to 17 years 18 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
16 to 17 years 18 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
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATA NOT SEASONALLY ADJUSTED
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
Nonagricultural industries
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
Nonagricultural industries
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
(Numbers in thousands)
Reason for working less than 35 hours
July 1995
All industries
Total Usually work
full time
Usually work
part time
Nonagricultural industries
Total Usually work
full time
Usually work
part time
Total, 16 years and over
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATA NOT SEASONALLY ADJUSTED
A-23. Persons at work in nonagricultural industries by class of worker and usual full- or part-time status
(Numbers in thousands)
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
1 Data not shown where base is less than 75,000.
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATA NOT SEASONALLY ADJUSTED
A-24. Persons at work in nonagricultural industries by age, sex, race, marital status, and usual full- or part-time status
(Numbers in thousands)
Age, sex, race, and marital status
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
Total, 16 years and over 16 to 19 years
16 to 17 years 18 to 19 years
20 years and over 20 to 24 years 25 years and over
25 to 54 years 55 years and over
Men, 16 years and over 16 to 19 years
16 to 17 years 18 to 19 years
20 years and over 20 to 24 years 25 years and over
25 to 54 years 55 years and over
Women, 16 years and over 16 to 19 years
16 to 17 years 18 to 19 years
20 years and over 20 to 24 years 25 years and over
25 to 54 years 55 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)
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATA NOT SEASONALLY ADJUSTED
A-25. Persons at work in nonfarm occupations by sex and usual full- or part-time status
(Numbers in thousands)
Occupation and sex
July 1995
Total at
work
Worked 1 to 34 hours
Total For
economic reasons
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 over1
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
Service occupations Private household Protective service Service, except private household and protective
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
Men, 16 years and over1
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
Service occupations Private household Protective service Service, except private household and protective
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
Women, 16 years and over1
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
Service occupations Private household Protective service Service, except private household and protective
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
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATA NOT SEASONALLY ADJUSTED
A-26. Unemployed persons by marital status, race, age, and sex
Marital status, race, and age
Men
Thousands of persons
July 1994
July 1995
Unemployment rates
July 1994
July 1995
Women
Thousands of persons
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
A-27. Unemployed persons by occupation and sex
HOUSEHOLD DATA NOT SEASONALLY ADJUSTED
Occupation
Thousands of persons
Total
July 1994
July 1995
Unemployment rates
Total
July 1994
July 1995
Men
July 1994
July 1995
Women
July 1994
Total, 16 years and over1
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
Service occupations Private household Protective service Service, except private household and protective
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
Farming, forestry, and fishing
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.
2 Data not shown where base is less than 75,000.
37
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATA NOT SEASONALLY ADJUSTED
A-28. Unemployed persons by industry and sex
Industry
Thousands of persons
Total
July 1994
July 1995
Unemployment rates
Total
July 1994
July 1995
Men
July 1994
July 1995
Women
July 1994
Total, 16 years and over
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATA NOT SEASONALLY ADJUSTED
Table A-29. Unemployed persons by reason for unemployment, sex, age, and race
(Numbers in thousands)
Reason
Total, 16 years and over
July 1994
July 1995
Men, 20 years and over
July 1994
July 1995
Women, 20 years and over
July 1994
July 1995
Both sexes, 16 to 19
years
July 1994
July 1995
White
July 1994
July 1995
Black
NUMBER OF UNEMPLOYED
Total unemployed Job losers and persons who completed temporary jobs .
On temporary layoff Not on temporary layoff
Permanent job losers Persons who completed temporary jobs
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
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATA NOT SEASONALLY ADJUSTED
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
Total, 16 years and over
Job losers and persons who completed temporary jobs On temporary layoff Not on temporary layoff
Permanent job losers Persons who completed temporary jobs
Job leavers Reentrants New entrants
Men, 20 years and over
Job losers and persons who completed temporary jobs On temporary layoff Not on temporary layoff
Permanent job losers Persons who completed temporary jobs
Job leavers Reentrants New entrants
Women, 20 years and over
Job losers and persons who completed temporary jobs On temporary layoff Not on temporary layoff
Permanent job losers Persons who completed temporary jobs
Job leavers Reentrants New entrants
Both sexes, 16 to 19 years
Job losers and persons who completed temporary jobs On temporary layoff Not on temporary layoff
Permanent job losers Persons who completed temporary jobs
Job leavers Reentrants New entrants
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
1 Data not shown where base is less than 75,000.
A-31. Unemployed total and full-time workers by duration of unemployment
Duration of unemployment
Total, 16 years and over
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
27 to 51 weeks 52 weeks and over
Average (mean) duration, in weeks Median duration, in weeks
Total
Thousands of persons
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
Percent distribution
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
Thousands of persons
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
Percent distribution
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATA NOT SEASONALLY ADJUSTED
A-32. Unemployed persons by age, sex, race, marital status, and duration of unemployment
Sex, age, race, and marital status
July 1995
Thousands of persons
Total Less than
5 weeks 5 to 14 weeks
15 weeks and over
Total 15 to 26 weeks
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATA NOT SEASONALLY ADJUSTED
A-33. Unemployed persons by occupation, industry, and duration of unemployment
Occupation and industry
July 1995
Thousands of persons
Total Less than
5 weeks 5 to 14 weeks
15 weeks and over
Total 15 to 26 weeks
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
Durable goods Nondurable goods
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATA NOT SEASONALLY ADJUSTED
A-35. Multiple jobholders by selected demographic and economic characteristics
(Numbers in thousands)
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
Total, 16 years and over2
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
(Numbers in thousands)
Veteran status and age
Civilian noninstitutional
population
July 1994
July 1995
Civilian labor force
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
Total, 40 years and over 40 to 54 years
40 to 44 years 45 to 49 years 50 to 54 years
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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
See footnotes at end of table.
46
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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—Continued
Year and month
Manufacturing
Weekly hours
Hourly earnings
Hourly earnings, excluding overtime
Weekly earnings
Transportation and public utilities
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
1994: July August September October .... November December
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
Monthly data, not seasonally adjusted
$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
See footnotes at end of table.
47
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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—Continued
Year and month
Retail trade
Weekly hours
Hourly earnings
Weekly earnings
Finance, insurance, and real estate
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
1994: July August September October .... November December
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
Monthly data, not seasonally adjusted
$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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATA EMPLOYMENT
SEASONALLY ADJUSTED
B-3. Employees on nonfarm payrolls by major industry and selected component groups, seasonally adjusted
(In thousands)
Industry 1994
July Aug. Sept. Oct. Nov. Dec.
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
See footnotes at end of table.
49
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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
Transportation and public utilities
Wholesale trade
Retail trade
Finance, insurance, and real estate
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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
July Aug. Sept. Oct. Nov. Dec.
1995
Jan. Feb. I Mar. Apr. May Junep J u l /
Total private
Goods-producing
Mining
Construction
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 Electronic and other electrical equipment Transportation equipment
Motor vehicles and 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
Transportation and public utilities
Wholesale trade
Retail trade
Finance, insurance, and real estate
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
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 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
March 1994 benchmark levels. When more recent benchmark data are introduced, all seasonally adjusted data from January 1991 forward are subject to revision.
52
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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
See footnotes at end of table.
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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
Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware District of Columbia Florida Georgia
Hawaii2
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
See footnotes at end of table.
55
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATA STATE EMPLOYMENT SEASONALLY ADJUSTED
B-7. Employees on nonfarm payrolls by State and major industry, seasonally adjusted—Continued
(In thousands)
State 1994
July Aug. Sept. Oct.
1995
Feb. Apr. May
Manufacturing
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
See footnotes at end of table.
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATA STATE EMPLOYMENT
SEASONALLY ADJUSTED
B-7. Employees on nonfarm payrolls by State and major industry, seasonally adjusted—Continued
(In thousands)
1994
June July Aug. Sept. Oct. Nov. Dec.
1995
Jan. Feb. Mar. Apr. May Junep
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
See footnotes at end of table.
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATA STATE EMPLOYMENT SEASONALLY ADJUSTED
B-7. Employees on nonfarm payrolls by State and major industry, seasonally adjusted—Continued
(In thousands)
State 1994
July Aug. Sept. Oct. Nov. Dec.
1995
Mar. Apr. May
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
See footnotes at end of table.
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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
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
See footnotes at end of table.
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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
Feb. Mar. Apr. May
Services
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
See footnotes at end of table.
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATA STATE EMPLOYMENT
SEASONALLY ADJUSTED
B-7. Employees on nonfarm payrolls by State and major industry, seasonally adjusted—Continued
(In thousands)
State June July Aug. Sept. Oct. Jan. Feb. Apr. May
Government
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
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
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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
July Aug. Sept. Oct. Nov. Dec.
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
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
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
Transportation and public utilities
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)
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 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
March 1994 benchmark levels. When more recent benchmark data are introduced, all seasonally adjusted data from January 1991 forward are subject to revision.
62
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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
July Aug. Sept. Oct. Nov. Dec.
1995
Jan. Feb. Mar. Apr. May Junep July'
Total private
Goods-producing
Mining
Construction
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 Electronic and other electrical equipment Transportation equipment
Motor vehicles and 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
Transportation and public utilities
Wholesale trade
Retail trade
Finance, insurance, and real estate
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
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 seasonally adjusted data from January 1991 forward are subject to revision.
63
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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
Mining Construction Manufacturing
Durable goods Nondurable goods
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
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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
Mining Construction Manufacturing
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
Mining Construction Manufacturing
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
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 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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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
See footnotes at end of table.
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATA EMPLOYMENT
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
See footnotes at end of table.
67
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATA EMPLOYMENT 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 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
See footnotes at end of table.
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATA EMPLOYMENT
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 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
See footnotes at end of table.
69
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATA EMPLOYMENT NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls by detailed industry—Continued
(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
See footnotes at end of table.
70
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATA EMPLOYMENT
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
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
See footnotes at end of table.
71
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATA EMPLOYMENT NOT SEASONALLY ADJUSTED
B-12. Employees on nonfarm payrolls by detailed industry—Continued
(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 and public utilities
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
See footnotes at end of table.
72
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATA EMPLOYMENT
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
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
See footnotes at end of table.
73
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATA EMPLOYMENT 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
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
See footnotes at end of table.
74
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATA EMPLOYMENT
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
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
See footnotes at end of table.
75
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATA EMPLOYMENT 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 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 .
See footnotes at end of table.
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATA EMPLOYMENT
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
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
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 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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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
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
Transportation and public utilities
Wholesale trade
Retail trade
Finance, insurance, and real estate
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT
NOT SEASONALLY ADJUSTED
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
See footnotes at end of table.
79
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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
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
See footnotes at end of table.
80
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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
Finance, insurance, and real estate
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
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
See footnotes at end of table.
81
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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
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
2.3 ft ft ft ft ft ft
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
1.9 ft ft ft ft ft ft
6.7 ft ft
1.5 ft ft
.9 ft ft ft ft
.3
2.3 ft ft ft ft ft ft
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
See footnotes at end of table.
82
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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
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
Wholesale and retail trade
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
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-Auburn Portland
See footnotes at end of table.
83
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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
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-Auburn Portland
See footnotes at end of table.
84
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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
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
See footnotes at end of table.
85
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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
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
Transportation and public utilities
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
Wholesale and retail trade
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
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
See footnotes at end of table.
86
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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
Finance, insurance, and real estate
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
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
See footnotes at end of table.
87
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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
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
See footnotes at end of table.
88
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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
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
Wholesale and retail trade
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
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
See footnotes at end of table.
89
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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
Finance, insurance, and real estate
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
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
See footnotes at end of table.
90
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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
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
See footnotes at end of table.
91
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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
Manufacturing
June 1994
May 1995
June
Transportation and public utilities
June 1994
May 1995
June 1995P
Wholesale and retail trade
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
See footnotes at end of table.
92
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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
Finance, insurance, and real estate
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
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
See footnotes at end of table.
93
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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
See footnotes at end of table.
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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
Manufacturing
June 1994
May 1995
June 1995?
Transportation and public utilities
June 1994
May 1995
June 1995?
Wholesale and retail trade
June 1994
May 1995
June 1995P
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
See footnotes at end of table.
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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
Finance, insurance, and real estate
June 1994
May 1995
June 1995P
Services
June 1994
May 1995
June 1995^
Government
June 1994
May 1995
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
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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
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
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
Office furniture Public building and related furniture Partitions and fixtures Miscellaneous furniture and fixtures
See footnotes at end of table.
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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—Continued
Industry 1987 SIC
Code
Average hourly earnings
June 1994
July 1994
May 1995
June 1995p
July 1995p
Average weekly earnings
June 1994
July 1994
May 1995
June 1995p
Total private
Goods-producing
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
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
Office furniture Public building and related furniture Partitions and fixtures Miscellaneous furniture and fixtures
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
See footnotes at end of table.
99
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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—Continued
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
Durable goods—Continued 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
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
Metal services, nee Plating and polishing Metal coating and allied services
Ordnance and accessories, nee Ammunition, except for small arms, nee
Misc. fabricated metal products Valves and pipe fittings, nee Misc. fabricated wire products
See footnotes at end of table.
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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—Continued
Industry 1987 SIC
Code
Average hourly earnings
June 1994
July 1994
May 1995
June 1995p
July 1995p
Average weekly earnings
June 1994
July 1994
May 1995
June 1995p
Durable goods—Continued 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
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
Metal services, nee Plating and polishing Metal coating and allied services
Ordnance and accessories, nee Ammunition, except for small arms, nee
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
See footnotes at end of table.
101
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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—Continued
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
Durable goods—Continued 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
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
See footnotes at end of table.
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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—Continued
Industry 1987 SIC
Code
Average hourly earnings
June 1994
July 1994
May 1995
June 1995p
July 1995p
Average weekly earnings
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
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
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
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
See footnotes at end of table.
103
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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—Continued
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
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
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 Misc. 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
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
See footnotes at end of table.
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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—Continued
Industry 1987 SIC
Code
Average hourly earnings
June 1994
July 1994
May 1995
June 1995p
July
Average weekly earnings
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
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 Misc. 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
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
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
See footnotes at end of table.
105
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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—Continued
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
Nondurable goods—Continued Food and kindred products—Continued
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 Yarn 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
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
See footnotes at end of table.
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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—Continued
Industry 1987 SIC
Code
Average hourly earnings
June 1994
July 1994
May 1995
June 1995p
July 1995p
Average weekly earnings
June 1994
July 1994
May 1995
June 1995p
Nondurable goods—Continued Food and kindred products—Continued
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 Yarn 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
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
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
See footnotes at end of table.
107
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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—Continued
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
Nondurable goods—Continued Paper and allied products—Continued
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
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
Service-producing
Transportation and public utilities
See footnotes at end of table.
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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—Continued
Industry 1987 SIC
Code
Average hourly earnings
June 1994
July 1994
May 1995
June 1995p
July 1995p
Average weekly earnings
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
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
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
Service-producing
Transportation and public utilities
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
See footnotes at end of table.
109
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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—Continued
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
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
Pipelines, except natural gas
Transportation services Passenger transportation arrangement
Travel agencies Freight transportation arrangement
Communications Telephone communications
Telephone communications, except radio Radio and television broadcasting 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 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
Building materials and garden supplies Lumber and other building materials Paint, glass, and wallpaper stores Hardware stores Retail nurseries and garden stores
See footnotes at end of table.
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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—Continued
Industry 1987 SIC
Code
Average hourly earnings
June 1994
July 1994
May 1995
June 1995p
July 1995p
Average weekly earnings
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
Pipelines, except natural gas
Transportation services Passenger transportation arrangement
Travel agencies Freight transportation arrangement
Communications Telephone communications
Telephone communications, except radio Radio and television broadcasting 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 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
Building materials and garden supplies Lumber and other building materials Paint, glass, and wallpaper stores Hardware stores Retail nurseries and garden stores
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
See footnotes at end of table.
I l l
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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—Continued
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
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
Finance, insurance, and real estate5
Depository institutions Commercial banks
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
See footnotes at end of table.
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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—Continued
Industry 1987 SIC
Code
Average hourly earnings
June 1994
July 1994
May 1995
June 1995p
July 1995p
Average weekly earnings
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
Finance, insurance, and real estate5
Depository institutions Commercial banks
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
See footnotes at end of table.
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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—Continued
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
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:
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: 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
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
Automotive services, except repair Carwashes
Miscellaneous repair services
Motion pictures Motion picture production and services 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 . Nursing and personal care facilities
Intermediate care facilities Hospitals
See footnotes at end of table.
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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—Continued
Industry 1987 SIC
Code
Average hourly earnings
June 1994
July 1994
May 1995
June 1995p
July 1995p
Average weekly earnings
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:
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: 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
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
Automotive services, except repair Carwashes
Miscellaneous repair services
Motion pictures Motion picture production and services 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 .. 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
See footnotes at end of table.
115
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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—Continued
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
July 1995p
Services—Continued Health services—Continued
Home health care services
Legal services
Social services Individual and family services Job training and related services Child day care services Residential care Social services, nee
Membership organizations: Professional organizations
Engineering and management services Engineering and architectural services ...
Engineering services Architectural services Surveying services
Accounting, auditing, and bookkeeping .. 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
See footnotes at end of table.
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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—Continued
Industry 1987 SIC
Code
Average hourly earnings
June 1994
July 1994
May 1995
June 1995p
July 1995p
Average weekly earnings
June 1994
July 1994
May 1995
June 1995p
Services—Continued Health services—Continued
Home health care services
Legal services
Social services Individual and family services Job training and related services Child day care services Residential care Social services, nee
Membership organizations: Professional organizations
Engineering and management services Engineering and architectural services ...
Engineering services Architectural services Surveying services
Accounting, auditing, and bookkeeping .. 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
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
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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
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ESTABLISHMENT DATA EARNINGS
NOT SEASONALLY ADJUSTED
B-16. Average hourly earnings, excluding overtime,1 of production workers on manufacturing payrolls
Industry June 1994
July 1994
May 1995
June 1995p
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
$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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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
Average hourly earnings
June 1994
July 1994
May 1995
June 1995p
July 1995p
Average weekly earnings
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
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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
State and area
Average weekly hours
June 1994
May 1995
June 1995"
Average hourly earnings
June 1994
May 1995
June 1995P
Average weekly earnings
June 1994
May 1995
Alabama Birmingham Mobile
Alaska
Arizona
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 Denver
Connecticut Bridgeport Danbury Hartford New Haven-Meriden New London-Norwich Stamford-Norwalk Waterbury
Delaware Wilmington-Newark
District of Columbia:
Washington PMSA
Florida
Georgia Atlanta Savannah
Hawaii
Honolulu
Idaho
Illinois Bloomington-Normal Champaign-Urbana Chicago Davenport-Moline-Rock Island Decatur Kankakee Peoria-Pekin Rockford Springfield
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
See footnotes at end of table.
121
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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
Average weekly hours
June 1994
May 1995
June 1995P
Average hourly earnings
June 1994
May 1995
June 1995P
Average weekly earnings
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
Maine Lewiston-Auburn Portland
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
Missouri Kansas City St. Louis Springfield
Montana
Nebraska Lincoln Omaha
Nevada Las Vegas
New Hampshire Manchester Nashua Portsmouth-Rochester
See footnotes at end of table.
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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
Average weekly hours
June 1994
May 1995
June 1995P
Average hourly earnings
June 1994
May 1995
June 1995P
Average weekly earnings
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 Carolina Asheville Charlotte-Gastonia-Rock Hill Greensboro—Winston-Salem—High Point Raleigh-Durham-Chapel Hill
North Dakota Fargo-Moorhead
Ohio Akron Canton-Massillon Cincinnati Cleveland-Lorain-Elyria Columbus Dayton-Springfield Hamilton-Middletown Lima Mansfield Steubenville-Weirton Toledo Youngstown-Warren
Oklahoma Oklahoma City Tulsa
Oregon Eugene-Springfield Medford-Ashland Portland-Vancouver Salem
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
See footnotes at end of table.
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
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
Average weekly hours
June 1994
May 1995
June 1995P
Average hourly earnings
June 1994
May 1995
June 1995P
Average weekly earnings
June 1994
May 1995
Rhode Island
Providence-Fall River-Warwick
South Carolina
South Dakota Rapid City Sioux Falls
Tennessee Chattanooga Johnson City-Kingsport-Bristol Knoxville Memphis Nashville
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
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
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATA REGIONS AND DIVISIONS SEASONALLY ADJUSTED
C-1. Employment status of the civilian population for census regions and divisions, seasonally adjusted1
(Numbers in thousands)
Census region and division
1994
July Aug. Sept. Oct. Nov. Dec.
1995
Jan. Feb. Mar. Apr. May. June July
NORTHEAST
Civilian noninstitutional population2
Civilian labor force Employed Unemployed Unemployment rate
New England
Civilian noninstitutional population2
Civilian labor force Employed Unemployed Unemployment rate
Middle Atlantic
Civilian noninstitutional population2
Civilian labor force Employed Unemployed Unemployment rate
SOUTH
Civilian noninstitutional population2
Civilian labor force Employed Unemployed Unemployment rate
South Atlantic
Civilian noninstitutional population2
Civilian labor force Employed Unemployed Unemployment rate
East South Central
Civilian noninstitutional population2
Civilian labor force Employed Unemployed Unemployment rate
West South Central
Civilian noninstitutional population2
Civilian labor force Employed Unemployed Unemployment rate
See footnotes at end of table.
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
HOUSEHOLD DATA REGIONS AND DIVISIONS SEASONALLY ADJUSTED
C-1. Employment status of the civilian population for census regions and divisions, seasonally adjusted1—Continued
(Numbers in thousands)
Census region and division
1994
July Aug. Sept. Oct. Nov. Dec.
1995
Jan. Feb. Mar. Apr. May. June July
MIDWEST
Civilian noninstitutional population2
Civilian labor force Employed Unemployed Unemployment rate
East North Central
Civilian noninstitutional population2
Civilian labor force Employed Unemployed Unemployment rate
West North Central
Civilian noninstitutional population2
Civilian labor force Employed Unemployed Unemployment rate
WEST
Civilian noninstitutional population2
Civilian labor force Employed Unemployed Unemployment rate
Mountain
Civilian noninstitutional population2
Civilian labor force Employed Unemployed Unemployment rate
Pacific
Civilian noninstitutional population2
Civilian labor force Employed Unemployed Unemployment rate
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
STATE LABOR FORCE DATA SEASONALLY ADJUSTED
C-2. Labor force status by State, seasonally adjusted
(Numbers in thousands)
State 1994
June July Aug. Sept. Oct. Mar. Apr. May
Alabama
Civilian labor force Employed Unemployed Unemployment rate
Alaska
Civilian labor force Employed Unemployed Unemployment rate
Arizona
Civilian labor force Employed Unemployed Unemployment rate
Arkansas
Civilian labor force Employed Unemployed Unemployment rate
California1
Civilian labor force Employed Unemployed Unemployment rate
Colorado
Civilian labor force Employed Unemployed Unemployment rate
Connecticut
Civilian labor force Employed Unemployed Unemployment rate
Delaware
Civilian labor force Employed Unemployed Unemployment rate
District of Columbia
Civilian labor force Employed Unemployed Unemployment rate
Florida1
Civilian labor force Employed Unemployed Unemployment rate
See footnotes at end of table.
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
STATE LABOR FORCE DATA SEASONALLY ADJUSTED
C-2. Labor force status by State, seasonally adjusted—Continued
(Numbers in thousands)
State July Aug. Sept. Oct. Dec. Mar. Apr. May
Georgia
Civilian labor force Employed Unemployed Unemployment rate .
Haw
Civilian labor force Employed Unemployed Unemployment rate
Idaho
Civilian labor force Employed Unemployed Unemployment rate
Illinois1
Civilian labor force Employed Unemployed Unemployment rate
Indiana
Civilian labor force Employed Unemployed Unemployment rate
Iowa
Civilian labor force Employed Unemployed Unemployment rate
Kansas
Civilian labor force Employed Unemployed Unemployment rate
Kentucky
Civilian labor force Employed Unemployed Unemployment rate
Louisiana
Civilian labor force Employed Unemployed Unemployment rate
Maine
Civilian labor force Employed Unemployed Unemployment rate
See footnotes at end of table.
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
STATE LABOR FORCE DATA SEASONALLY ADJUSTED
C-2. Labor force status by State, seasonally adjusted—Continued
(Numbers in thousands)
State June July Aug. Sept. Oct. Nov. Dec. Feb. Mar. Apr. May
Maryland
Civilian labor force Employed Unemployed Unemployment rate
Massachusetts1
Civilian labor force Employed Unemployed Unemployment rate
Michigan1
Civilian labor force Employed Unemployed Unemployment rate
Minnesota
Civilian labor force Employed Unemployed Unemployment rate
Mississippi
Civilian labor force Employed Unemployed Unemployment rate
Missouri
Civilian labor force Employed Unemployed Unemployment rate
Montana
Civilian labor force Employed Unemployed Unemployment rate
Nebraska
Civilian labor force Employed Unemployed Unemployment rate
Nevada
Civilian labor force Employed Unemployed Unemployment rate
New Hampshire
Civilian labor force Employed Unemployed Unemployment rate
See footnotes at end of table.
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
STATE LABOR FORCE DATA SEASONALLY ADJUSTED
C-2. Labor force status by State, seasonally adjusted—Continued
(Numbers in thousands)
State June July Aug. Sept. Oct. Nov. Dec.
1995
Apr. May
New Jersey1
Civilian labor force Employed Unemployed Unemployment rate
New Mexico
Civilian labor force Employed Unemployed Unemployment rate
New York1
Civilian labor force Employed Unemployed Unemployment rate
North Carolina1
Civilian labor force Employed Unemployed Unemployment rate
North Dakota
Civilian labor force Employed Unemployed Unemployment rate
Ohio1
Civilian labor force Employed Unemployed Unemployment rate
Oklahoma
Civilian labor force Employed Unemployed Unemployment rate
Oregon
Civilian labor force Employed Unemployed Unemployment rate
Pennsylvania1
Civilian labor force Employed Unemployed Unemployment rate
Rhode Island
Civilian labor force Employed Unemployed Unemployment rate
See footnotes at end of table.
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
STATE LABOR FORCE DATA SEASONALLY ADJUSTED
C-2. Labor force status by State, seasonally adjusted—Continued
(Numbers in thousands)
State 1994
June July Aug. Sept. Oct. Dec. Feb. Mar. Apr. May
South Carolina
Civilian labor force Employed Unemployed Unemployment rate
South Dakota
Civilian labor force Employed Unemployed Unemployment rate
Tennessee
Civilian labor force Employed Unemployed Unemployment rate
Texas1
Civilian labor force Employed Unemployed Unemployment rate
Utah
Civilian labor force Employed Unemployed Unemployment rate
Vermont
Civilian labor force Employed Unemployed Unemployment rate
Virginia
Civilian labor force Employed Unemployed Unemployment rate
Washington
Civilian labor force Employed Unemployed Unemployment rate
West Virginia
Civilian labor force Employed Unemployed Unemployment rate
Wisconsin
Civilian labor force Employed Unemployed Unemployment rate
Wyoming
Civilian labor force Employed Unemployed Unemployment rate
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
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
STATE AND AREA LABOR FORCE DATA NOT SEASONALLY ADJUSTED
C-3. Labor force status by State and selected metropolitan areas
(Numbers in thousands)
State and area
Civilian labor force
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
Percent of labor force
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
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
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
Colorado Boulder-Longmont Denver
Connecticut Bridgeport Danbury Hartford New Haven-Meriden New London-Norwich Stamford-Newark Waterbury
Delaware Dover Wilmington-Newark
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
See footnotes at end of table.
132
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
STATE AND AREA LABOR FORCE DATA NOT SEASONALLY ADJUSTED
C-3. Labor force status by State and selected metropolitan areas—Continued
(Numbers in thousands)
State and area
Civilian labor force
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
Percent of labor force
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
Georgia Albany Athens Atlanta Augusta-Aiken Columbus Macon Savannah
Hawaii Honolulu
Idaho Boise City
Illinois1
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-Auburn Portland
See footnotes at end of table.
133
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
STATE AND AREA LABOR FORCE DATA NOT SEASONALLY ADJUSTED
C-3. Labor force status by State and selected metropolitan areas—Continued
(Numbers in thousands)
State and area
Civilian labor force
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
Percent of labor force
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
Nebraska Lincoln Omaha
Nevada Las Vegas Reno
New Hampshire Manchester Nashua Portsmouth-Rochester
New Jersey1
Atlantic-Cape May Bergen-Passaic Jersey City Middlesex-Somerset-Hunterdon.. Monmouth-Ocean Newark Trenton Vineland-Millville-Bridgeton
New Mexico Albuquerque Las Cruces Santa Fe
See footnotes at end of table.
134
Digitized for FRASER http://fraser.stlouisfed.org/ Federal Reserve Bank of St. Louis
STATE AND AREA LABOR FORCE DATA NOT SEASONALLY ADJUSTED
C-3. Labor force status by State and selected metropolitan areas—Continued
(Numbers in thousands)
State and area
Civilian labor force
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
Percent of labor force
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
North Dakota Bismarck Fargo-Moorhead Grand Forks
Ohio1
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
Pennsylvania1
Allentown-Bethlehem-Easton Altoona Erie Harrisburg-Lebanon-Carlisle Johnstown Lancaster Philadelphia Pittsburgh Reading Scranton-Wilkes-Barre-Hazelton Sharon State College Williamsport York
Rhode Island Providence-Fall River-Warwick
See footnotes at end of table.
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STATE AND AREA LABOR FORCE DATA NOT SEASONALLY ADJUSTED
C-3. Labor force status by State and selected metropolitan areas—Continued
(Numbers in thousands)
State and area
Civilian labor force
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
Percent of labor force
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
South Carolina Charleston-North Charleston Columbia Greenville-Spartanburg-Anderson
South Dakota Rapid City Sioux Falls
Tennessee Chattanooga Johnson City-Kingsport-Bristol Knoxville Memphis Nashville
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
See footnotes at end of table.
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STATE AND AREA LABOR FORCE DATA NOT SEASONALLY ADJUSTED
C-3. Labor force status by State and selected metropolitan areas—Continued (Numbers in thousands)
State and area
Civilian labor force
June 1994
May June 1995P
Unemployed
June 1994
May 1995
June 1995P
Percent of labor force
June 1994
May 1995
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
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.
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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
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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.
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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.
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Table 1 -G. Parameters for computation of standard errors for estimates of month-to-month change in levels
Characteristic
Labor force and not-in-labor-force data other than agricultural employment and unemployment:
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
Both sexes, 16 to 19 years
Black: Most characteristics Low correlation characteristics
Men: Most characteristics Low correlation characteristics
Women: Most characteristics Low correlation characteristics
Both sexes, 16 to 19 years
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
Agricultural employment:
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.
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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
Agricultural employment:
Total or men
Both sexes, 16 to 19 years Part time
Unemployment:
Total
Labor force and not-in-labor-force data other than agricultural employment and unemployment:
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
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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
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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-
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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.
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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
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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 hours
Average weekly overtime hours
Average hourly earnings
Average weekly earnings
All employees, women employees, and production or nonsupervisory
Average weekly hours
Average hourly earnings
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.
Product of average weekly hours and average hourly earnings.
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.
Product of average weekly hours and average hourly earnings.
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.
Product of average weekly hours and average hourly earnings.
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.
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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
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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
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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
Transportation and public utilities
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.
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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
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 miscellaneous 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
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
See footnotes at end of table.
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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
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 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
Agricultural services Hotels and other lodging places Personal services Business services
Services to buildings Personnel supply services
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
Legal services Educational services Social services
Child day care services Residential care
Museums and botanical and zoological gardens Membership organizations Engineering and management services3
Engineering and architectural services Management and public relations3
Services, nee
Government Federal
Federal, except Postal Service State
Education Other State government
Local Education Other local 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.
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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
Average weekly hours
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
Durable goods Nondurable goods
Transportation and
Wholesale trade Retail trade Finance, insurance, and real estate
Employment
0.1 .4 .4 .1 .2 .1
.2
.2
.1
.3
.2
Average weekly hours
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.
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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
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 miscellaneous 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
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
See footnotes at end of table.
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Table 2-G. Errors of preliminary employment estimates—Continued
Industry Root-mean-square error of monthly level1
Mean percent revision
Actual Absolute
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 Mortgage bankers and brokers
Security and commodity brokers Holding and other investment offices
Insurance Insurance carriers Insurance agents, brokers, and service
Real estate
Services2
Agricultural services Hotels and other lodging places Personal services Business services
Services to buildings Personnel supply services
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
Legal services Educational services Social services
Child day care services Residential care
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
Federal, except Postal Service State
Education Other State government ,
Local Education Other local 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.
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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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